IDL Version 6.4 (linux x86_64 m64). (c) 2007, ITT Visual Information Solutions Installation number: 97068-4. Licensed for use by: Princeton University % CD: Unable to change current directory to 2338. No such file or directory % Execution halted at: $MAIN$ % Compiled module: SPREDUCE2D. % Compiled module: FILEANDPATH. % Compiled module: FDECOMP. % Compiled module: YANNY_READ. % Compiled module: STRSPLIT. % Compiled module: NUMLINES. % Compiled module: HOGG_UNQUOTED_REGEX. % Compiled module: HOGG_STRSPLIT. % Compiled module: MRD_STRUCT. % Compiled module: YANNY_FREE. % Compiled module: YANNY_PAR. % Compiled module: STR_SEP. % Compiled module: CONCAT_DIR. % Compiled module: CPBACKUP. % Compiled module: SPLOG. SPREDUCE2D: Log file spDiag2d-2338-53679.log opened Fri Feb 5 08:30:01 2010 SPREDUCE2D: Plot file spDiag2d-2338-53679.ps SPREDUCE2D: IDL version: x86_64 linux unix linux 6.4 Apr 26 2007 64 64 SPREDUCE2D: UNAME: Linux hammer5.astro.Princeton.EDU 2.6.18-128.7.1.el5 #1 SMP Mon Aug 24 08:21:56 EDT 2009 x86_64 x86_64 x86_64 GNU/Linux SPREDUCE2D: DISPLAY=localhost:15.0 % Compiled module: IDLSPEC2D_VERSION. SPREDUCE2D: idlspec2d version NOCVS:v5_3 % Compiled module: IDLUTILS_VERSION. SPREDUCE2D: idlutils version v5_3_0 SPREDUCE2D: specflat version v1_7 svn: '/u/dss/spectro/103/speclog_hacks/bin' does not exist SPREDUCE2D: speclog version trunk SPREDUCE2D: Plan file spPlan2d-2338-53679.par SPREDUCE2D: DOCAMS = b1 b2 r1 r2 % Compiled module: UNIQ. SPREDUCE2D: Begin plate 2338 at Fri Feb 5 08:30:01 2010 SPREDUCE2D: Plug map file = plPlugMapM-2338-53678-01.par % Compiled module: SPREDUCE. % Compiled module: FILEPATH. % Compiled module: PATH_SEP. % Compiled module: SDSSPROC. % Compiled module: DJS_FILEPATH. % Compiled module: LOOKFORGZIP. % Compiled module: HEADFITS. % Compiled module: FXPOSIT. % Compiled module: MRD_HREAD. % Compiled module: SPHDRFIX. % Compiled module: SXPAR. % Compiled module: GETTOK. % Compiled module: SXADDPAR. % Compiled module: WARN_DAYTIME. % Compiled module: GET_TAI. % Compiled module: SUNPOS. % Compiled module: ZENPOS. % Compiled module: CT2LST. % Compiled module: DJS_DIFF_ANGLE. % Compiled module: FITS_PURGE_NANS. % Compiled module: READPLUGMAP. % Compiled module: STRUCT_ADDTAGS. % Compiled module: COPY_STRUCT. % Compiled module: COPY_STRUCT_INX. READPLUGMAP: b1: Rescaling SCI_EXPTIME values by 600.10000 READPLUGMAP: b1: Adding fields from calibObj file % Compiled module: EULER. READPLUGMAP: b1: LIED about EBV. Set to 0.3 % Compiled module: PLUG2TSOBJ. PLUG2TSOBJ: b1: WARNING: calibObj file not found for plate 2338 READPLUGMAP: b1: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 4 % Compiled module: SORTPLUGMAP. % Compiled module: FIBERMASK_BITS. % Compiled module: PIXELMASK_BITS. % Compiled module: SDSS_FLAGVAL. SORTPLUGMAP: b1: Number of missing fibers: 3 % Compiled module: SPCALIB. SPCALIB: b1: Tracing flat # 1 of 2 SPCALIB: b1: Reading flat sdR-b1-00034585.fit % Compiled module: RDSS_FITS. % Compiled module: MRDFITS. % Compiled module: FXPAR. % Compiled module: VALID_NUM. MRDFITS: Image array (2128,2069) Type=Int*2 % Compiled module: MRD_SKIP. % Compiled module: IS_IEEE_BIG. % Compiled module: IEEE_TO_HOST. % Compiled module: SXDELPAR. % Compiled module: FINDOPFILE. % Compiled module: REVERSE. FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opECalib-51577.par FINDOPFILE: b1: Selecting op file opBC-51813.par % Compiled module: MEAN. % Compiled module: MOMENT. % Compiled module: STDDEV. SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.68265 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1203.38 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1184. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.06711 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1026.99 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1011. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 % Compiled module: REJECT_FLAT. SPCALIB: b1: Tracing 320 fibers in sdR-b1-00034585.fit % Compiled module: TRACE320CRUDE. % Compiled module: DJS_MASKINTERP. % Compiled module: INTERPOL. % Compiled module: TRACE320CEN. % Compiled module: DJS_MEDIAN. % Compiled module: IDLUTILS_SO_EXT. % Compiled module: DJS_ITERSTAT. TRACE320CEN: b1: Big gap at fiber= 20, x= 138.74, dx= 7.95 TRACE320CEN: b1: Big gap at fiber= 40, x= 265.20, dx= 8.12 TRACE320CEN: b1: Big gap at fiber= 60, x= 390.76, dx= 7.63 TRACE320CEN: b1: Big gap at fiber= 80, x= 517.10, dx= 8.72 TRACE320CEN: b1: Big gap at fiber= 100, x= 642.26, dx= 8.01 TRACE320CEN: b1: Big gap at fiber= 120, x= 767.77, dx= 8.55 TRACE320CEN: b1: Big gap at fiber= 140, x= 892.85, dx= 8.47 TRACE320CEN: b1: Big gap at fiber= 160, x=1017.33, dx= 7.96 TRACE320CEN: b1: Big gap at fiber= 180, x=1142.72, dx= 8.78 TRACE320CEN: b1: Big gap at fiber= 200, x=1267.59, dx= 7.71 TRACE320CEN: b1: Big gap at fiber= 220, x=1393.12, dx= 8.54 TRACE320CEN: b1: Big gap at fiber= 260, x=1643.78, dx= 8.24 TRACE320CEN: b1: Big gap at fiber= 280, x=1769.50, dx= 7.82 TRACE320CEN: b1: Big gap at fiber= 300, x=1896.07, dx= 8.37 % Compiled module: TRACE_CRUDE. % Compiled module: DJS_LAXISGEN. % Compiled module: POLYFITW. % Compiled module: TRACE_FWEIGHT. TRACE320CRUDE: b1: Warning: Fixing traces: 90 91 163 164 251 294 SPCALIB: b1: Fitting traces in sdR-b1-00034585.fit % Compiled module: XY2TRACESET. TRACE# NPOINTS NREJECT % Compiled module: FUNC_FIT. % Compiled module: FLEGENDRE. % Compiled module: DJS_REJECT. 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 1 7 2048 0 8 2048 3 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 3 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 2 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 1 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 16 278 2048 42 279 2048 35 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 3 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 4 299 2048 0 300 2048 0 301 2048 3 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 1 307 2048 1 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 1 317 2048 1 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 117 % Compiled module: TRACESET2XY. SPCALIB: b1: Extracting flat with exponential cubic (proftype 3) % Compiled module: EXTRACT_IMAGE. ROW NITER SIG(med) CHI^2 % Compiled module: EXTRACT_ROW. % Compiled module: CALCFLUX. .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 1.58 .0004 1 1.00 1.55 .0005 1 1.00 1.61 .0006 1 1.00 1.54 .0007 1 1.00 1.62 .0008 1 1.00 1.68 .0009 2 1.00 1.81 .0010 1 1.00 2.04 .0011 2 1.00 1.74 .0012 1 1.00 1.84 .0013 1 1.00 1.84 .0014 1 1.00 1.75 .0015 1 1.00 1.80 .0016 1 1.00 2.08 .0017 1 1.00 1.85 .0018 1 1.00 1.97 .0019 1 1.00 1.82 .0020 1 1.00 1.81 .0021 1 1.00 2.07 .0022 1 1.00 1.86 .0023 1 1.00 1.89 .0024 1 1.00 1.98 .0025 1 1.00 1.99 .0026 1 1.00 1.93 .0027 1 1.00 1.94 .0028 2 1.00 2.12 .0029 2 1.00 2.01 .0030 3 1.00 2.12 .0031 1 1.00 2.11 .0032 1 1.00 2.12 .0033 1 1.00 2.09 .0034 1 1.00 2.21 .0035 1 1.00 2.28 .0036 1 1.00 2.39 .0037 1 1.00 2.11 .0038 1 1.00 2.09 .0039 1 1.00 2.19 .0040 1 1.00 2.23 .0041 1 1.00 2.20 .0042 1 1.00 2.20 .0043 1 1.00 2.27 .0044 1 1.00 2.21 .0045 1 1.00 2.20 .0046 2 1.00 2.23 .0047 2 1.00 2.35 .0048 2 1.00 2.30 .0049 1 1.00 2.16 .0050 1 1.00 2.21 .0051 1 1.00 2.27 .0052 1 1.00 2.39 .0053 1 1.00 2.19 .0054 1 1.00 2.35 .0055 1 1.00 2.32 .0056 1 1.00 2.47 .0057 1 1.00 2.42 .0058 1 1.00 2.37 .0059 1 1.00 2.31 .0060 1 1.00 2.45 .0061 1 1.00 2.47 .0062 1 1.00 2.60 .0063 1 1.00 2.31 .0064 1 1.00 2.31 .0065 1 1.00 2.19 .0066 1 1.00 2.34 .0067 1 1.00 2.21 .0068 3 1.00 2.19 .0069 1 1.00 2.94 .0070 1 1.00 2.34 .0071 1 1.00 2.38 .0072 1 1.00 2.37 .0073 1 1.00 2.43 .0074 1 1.00 2.35 .0075 1 1.00 2.30 .0076 1 1.00 2.27 .0077 1 1.00 2.54 .0078 1 1.00 2.51 .0079 1 1.00 2.37 .0080 1 1.00 2.44 .0081 1 1.00 2.51 .0082 2 1.00 2.27 .0083 1 1.00 2.32 .0084 1 1.00 2.27 .0085 1 1.00 2.31 .0086 1 1.00 2.27 .0087 1 1.00 2.35 .0088 1 1.00 2.30 .0089 1 1.00 2.33 .0090 1 1.00 2.37 .0091 1 1.00 2.37 .0092 1 1.00 2.68 .0093 1 1.00 2.74 .0094 2 1.00 2.45 .0095 1 1.00 2.53 .0096 1 1.00 2.81 .0097 2 1.00 2.63 .0098 1 1.00 2.74 .0099 2 1.00 2.42 .0100 3 1.00 2.44 .0101 2 1.00 2.47 .0102 1 1.00 2.43 .0103 1 1.00 2.43 .0104 1 1.00 2.47 .0105 1 1.00 2.34 .0106 1 1.00 2.42 .0107 1 1.00 2.32 .0108 1 1.00 2.37 .0109 1 1.00 2.42 .0110 1 1.00 2.36 .0111 1 1.00 2.27 .0112 1 1.00 2.35 .0113 1 1.00 2.53 .0114 3 1.00 2.33 .0115 3 1.00 2.38 .0116 1 1.00 2.41 .0117 1 1.00 2.33 .0118 1 1.00 2.40 .0119 1 1.00 2.37 .0120 1 1.00 2.32 .0121 1 1.00 2.46 .0122 1 1.00 2.59 .0123 1 1.00 2.30 .0124 1 1.00 2.29 .0125 1 1.00 2.36 .0126 1 1.00 2.29 .0127 1 1.00 2.30 .0128 1 1.00 2.32 .0129 2 1.00 2.51 .0130 2 1.00 2.53 .0131 1 1.00 2.47 .0132 1 1.00 2.58 .0133 1 1.00 2.17 .0134 1 1.00 2.17 .0135 1 1.00 2.28 .0136 1 1.00 2.25 .0137 1 1.00 2.26 .0138 1 1.00 2.29 .0139 1 1.00 2.33 .0140 1 1.00 2.20 .0141 1 1.00 2.41 .0142 1 1.00 2.31 .0143 1 1.00 2.42 .0144 1 1.00 2.35 .0145 1 1.00 2.22 .0146 1 1.00 2.40 .0147 1 1.00 2.26 .0148 1 1.00 2.34 .0149 1 1.00 2.24 .0150 1 1.00 2.32 .0151 1 1.00 2.17 .0152 1 1.00 2.22 .0153 1 1.00 2.34 .0154 1 1.00 2.29 .0155 1 1.00 2.33 .0156 1 1.00 2.32 .0157 1 1.00 2.28 .0158 1 1.00 2.30 .0159 1 1.00 2.25 .0160 1 1.00 2.36 .0161 1 1.00 2.24 .0162 1 1.00 2.36 .0163 1 1.00 2.37 .0164 1 1.00 2.30 .0165 2 1.00 2.37 .0166 2 1.00 2.46 .0167 1 1.00 2.45 .0168 1 1.00 2.31 .0169 1 1.00 2.35 .0170 1 1.00 2.30 .0171 1 1.00 2.40 .0172 1 1.00 2.33 .0173 1 1.00 2.26 .0174 1 1.00 2.38 .0175 2 1.00 2.50 .0176 2 1.00 2.33 .0177 1 1.00 2.37 .0178 1 1.00 2.51 .0179 1 1.00 2.34 .0180 1 1.00 2.68 .0181 1 1.00 2.47 .0182 1 1.00 2.42 .0183 1 1.00 2.39 .0184 1 1.00 2.53 .0185 1 1.00 2.43 .0186 1 1.00 2.51 .0187 3 1.00 2.37 .0188 1 1.00 2.53 .0189 1 1.00 2.43 .0190 1 1.00 2.56 .0191 1 1.00 2.31 .0192 1 1.00 2.40 .0193 1 1.00 2.46 .0194 1 1.00 2.57 .0195 1 1.00 2.43 .0196 1 1.00 2.38 .0197 1 1.00 2.52 .0198 1 1.00 2.49 .0199 1 1.00 2.42 .0200 1 1.00 2.48 .0201 1 1.00 2.42 .0202 1 1.00 2.54 .0203 1 1.00 2.63 .0204 1 1.00 2.60 .0205 1 1.00 2.50 .0206 1 1.00 2.68 .0207 1 1.00 2.74 .0208 1 1.00 2.68 .0209 1 1.00 2.43 .0210 1 1.00 2.65 .0211 1 1.00 2.54 .0212 1 1.00 2.52 .0213 1 1.00 2.64 .0214 1 1.00 2.65 .0215 1 1.00 2.70 .0216 1 1.00 2.73 .0217 2 1.00 2.65 .0218 3 1.00 2.86 .0219 1 1.00 3.26 .0220 1 1.00 2.86 .0221 1 1.00 2.91 .0222 1 1.00 2.88 .0223 1 1.00 2.85 .0224 1 1.00 3.34 .0225 1 1.00 3.12 .0226 1 1.00 2.96 .0227 1 1.00 3.04 .0228 1 1.00 3.10 .0229 1 1.00 2.96 .0230 1 1.00 3.09 .0231 1 1.00 3.01 .0232 2 1.00 3.19 .0233 1 1.00 3.39 .0234 1 1.00 3.17 .0235 1 1.00 3.13 .0236 1 1.00 3.17 .0237 1 1.00 3.29 .0238 1 1.00 3.17 .0239 1 1.00 3.32 .0240 1 1.00 3.32 .0241 1 1.00 3.53 .0242 1 1.00 3.40 .0243 1 1.00 3.54 .0244 1 1.00 3.34 .0245 1 1.00 3.44 .0246 1 1.00 3.42 .0247 1 1.00 3.46 .0248 2 1.00 3.49 .0249 1 1.00 3.49 .0250 1 1.00 3.68 .0251 1 1.00 3.74 .0252 1 1.00 3.90 .0253 1 1.00 4.28 .0254 1 1.00 3.75 .0255 1 1.00 3.55 .0256 1 1.00 3.69 .0257 1 1.00 3.85 .0258 1 1.00 3.64 .0259 1 1.00 3.88 .0260 1 1.00 3.89 .0261 1 1.00 3.77 .0262 1 1.00 3.98 .0263 1 1.00 3.85 .0264 1 1.00 3.85 .0265 1 1.00 3.94 .0266 1 1.00 4.01 .0267 1 1.00 3.88 .0268 1 1.00 3.86 .0269 1 1.00 3.93 .0270 1 1.00 3.93 .0271 1 1.00 4.05 .0272 1 1.00 3.96 .0273 1 1.00 4.22 .0274 1 1.00 4.17 .0275 1 1.00 4.06 .0276 1 1.00 4.17 .0277 1 1.00 4.15 .0278 1 1.00 4.21 .0279 1 1.00 4.03 .0280 1 1.00 4.10 .0281 1 1.00 4.23 .0282 1 1.00 4.09 .0283 1 1.00 4.04 .0284 1 1.00 4.62 .0285 1 1.00 4.39 .0286 1 1.00 4.39 .0287 1 1.00 4.36 .0288 1 1.00 4.38 .0289 1 1.00 4.35 .0290 1 1.00 4.60 .0291 1 1.00 4.32 .0292 1 1.00 4.57 .0293 1 1.00 4.55 .0294 1 1.00 4.53 .0295 1 1.00 4.58 .0296 1 1.00 4.56 .0297 1 1.00 4.70 .0298 1 1.00 4.46 .0299 1 1.00 4.60 .0300 1 1.00 4.74 .0301 1 1.00 4.69 .0302 1 1.00 4.78 .0303 2 1.00 4.89 .0304 1 1.00 4.79 .0305 1 1.00 4.79 .0306 1 1.00 4.73 .0307 1 1.00 4.89 .0308 1 1.00 4.84 .0309 1 1.00 5.04 .0310 1 1.00 5.15 .0311 1 1.00 5.06 .0312 1 1.00 5.26 .0313 1 1.00 5.23 .0314 1 1.00 5.03 .0315 1 1.00 5.16 .0316 1 1.00 5.15 .0317 1 1.00 5.05 .0318 1 1.00 5.07 .0319 1 1.00 5.38 .0320 1 1.00 5.31 .0321 1 1.00 5.20 .0322 1 1.00 5.45 .0323 1 1.00 5.33 .0324 1 1.00 5.22 .0325 1 1.00 5.39 .0326 1 1.00 5.48 .0327 1 1.00 5.48 .0328 1 1.00 5.39 .0329 1 1.00 5.50 .0330 1 1.00 5.67 .0331 1 1.00 5.39 .0332 1 1.00 5.35 .0333 1 1.00 5.59 .0334 1 1.00 5.55 .0335 1 1.00 5.43 .0336 1 1.00 5.52 .0337 1 1.00 5.66 .0338 1 1.00 5.57 .0339 1 1.00 5.79 .0340 1 1.00 5.73 .0341 1 1.00 6.01 .0342 1 1.00 5.86 .0343 1 1.00 5.60 .0344 1 1.00 5.92 .0345 1 1.00 5.70 .0346 1 1.00 5.89 .0347 1 1.00 6.08 .0348 1 1.00 5.91 .0349 1 1.00 6.13 .0350 1 1.00 5.83 .0351 1 1.00 6.04 .0352 1 1.00 5.91 .0353 1 1.00 5.87 .0354 1 1.00 6.09 .0355 1 1.00 6.15 .0356 1 1.00 6.43 .0357 1 1.00 5.95 .0358 1 1.00 6.02 .0359 1 1.00 6.13 .0360 1 1.00 6.06 .0361 1 1.00 6.19 .0362 1 1.00 6.99 .0363 1 1.00 6.50 .0364 1 1.00 5.94 .0365 1 1.00 6.05 .0366 1 1.00 6.16 .0367 1 1.00 6.50 .0368 2 1.00 6.07 .0369 2 1.00 6.64 .0370 1 1.00 6.66 .0371 1 1.00 6.81 .0372 3 1.00 6.67 .0373 1 1.00 6.47 .0374 1 1.00 6.37 .0375 1 1.00 6.52 .0376 1 1.00 6.41 .0377 1 1.00 6.53 .0378 1 1.00 6.35 .0379 1 1.00 6.63 .0380 1 1.00 6.42 .0381 1 1.00 6.45 .0382 1 1.00 6.61 .0383 1 1.00 6.45 .0384 1 1.00 6.87 .0385 1 1.00 6.85 .0386 1 1.00 6.75 .0387 1 1.00 6.77 .0388 1 1.00 6.83 .0389 1 1.00 6.66 .0390 1 1.00 6.82 .0391 1 1.00 6.70 .0392 1 1.00 6.58 .0393 1 1.00 6.85 .0394 1 1.00 6.86 .0395 1 1.00 6.90 .0396 1 1.00 6.73 .0397 1 1.00 6.88 .0398 1 1.00 6.90 .0399 1 1.00 6.68 .0400 1 1.00 7.15 .0401 1 1.00 7.03 .0402 1 1.00 6.85 .0403 1 1.00 7.03 .0404 1 1.00 7.19 .0405 1 1.00 6.67 .0406 1 1.00 7.27 .0407 1 1.00 7.03 .0408 1 1.00 6.93 .0409 1 1.00 6.94 .0410 1 1.00 6.90 .0411 1 1.00 7.13 .0412 1 1.00 7.09 .0413 1 1.00 7.36 .0414 1 1.00 7.15 .0415 1 1.00 7.12 .0416 1 1.00 6.91 .0417 1 1.00 7.05 .0418 1 1.00 7.42 .0419 1 1.00 7.12 .0420 1 1.00 7.42 .0421 1 1.00 7.34 .0422 1 1.00 7.51 .0423 1 1.00 7.39 .0424 1 1.00 7.35 .0425 1 1.00 7.50 .0426 1 1.00 7.49 .0427 1 1.00 7.18 .0428 1 1.00 7.47 .0429 1 1.00 7.33 .0430 1 1.00 7.28 .0431 1 1.00 7.28 .0432 1 1.00 7.53 .0433 1 1.00 7.64 .0434 1 1.00 7.45 .0435 1 1.00 7.65 .0436 1 1.00 7.52 .0437 1 1.00 7.41 .0438 1 1.00 7.47 .0439 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.1660 1 1.00 4.66 .1661 1 1.00 4.88 .1662 1 1.00 4.86 .1663 1 1.00 4.76 .1664 1 1.00 4.88 .1665 1 1.00 4.79 .1666 1 1.00 4.37 .1667 1 1.00 4.76 .1668 1 1.00 4.73 .1669 2 1.00 4.95 .1670 2 1.00 4.78 .1671 1 1.00 4.80 .1672 1 1.00 4.84 .1673 1 1.00 4.72 .1674 1 1.00 4.67 .1675 1 1.00 4.62 .1676 1 1.00 4.61 .1677 1 1.00 4.74 .1678 1 1.00 4.68 .1679 1 1.00 4.53 .1680 1 1.00 4.51 .1681 1 1.00 4.66 .1682 1 1.00 4.57 .1683 1 1.00 4.55 .1684 1 1.00 4.53 .1685 1 1.00 4.53 .1686 1 1.00 4.55 .1687 1 1.00 4.50 .1688 1 1.00 4.47 .1689 1 1.00 4.42 .1690 1 1.00 4.69 .1691 1 1.00 4.17 .1692 1 1.00 4.51 .1693 1 1.00 4.30 .1694 1 1.00 4.15 .1695 1 1.00 4.46 .1696 1 1.00 4.37 .1697 1 1.00 4.40 .1698 1 1.00 4.23 .1699 1 1.00 4.29 .1700 1 1.00 4.40 .1701 1 1.00 4.23 .1702 1 1.00 4.15 .1703 1 1.00 4.38 .1704 1 1.00 4.30 .1705 1 1.00 4.24 .1706 1 1.00 4.19 .1707 1 1.00 4.29 .1708 1 1.00 4.07 .1709 1 1.00 4.23 .1710 1 1.00 3.97 .1711 1 1.00 4.16 .1712 1 1.00 3.99 .1713 1 1.00 4.08 .1714 1 1.00 4.02 .1715 1 1.00 4.21 .1716 1 1.00 4.03 .1717 1 1.00 3.94 .1718 1 1.00 3.88 .1719 1 1.00 4.13 .1720 1 1.00 4.01 .1721 1 1.00 4.08 .1722 1 1.00 4.03 .1723 1 1.00 4.10 .1724 1 1.00 3.77 .1725 1 1.00 3.92 .1726 1 1.00 3.98 .1727 1 1.00 3.96 .1728 1 1.00 3.92 .1729 1 1.00 3.97 .1730 1 1.00 3.85 .1731 1 1.00 3.85 .1732 1 1.00 3.89 .1733 1 1.00 4.07 .1734 1 1.00 3.81 .1735 1 1.00 3.68 .1736 1 1.00 3.85 .1737 1 1.00 3.73 .1738 1 1.00 3.92 .1739 1 1.00 3.89 .1740 1 1.00 3.95 .1741 1 1.00 3.73 .1742 1 1.00 4.10 .1743 1 1.00 3.85 .1744 1 1.00 3.75 .1745 1 1.00 4.03 .1746 1 1.00 4.14 .1747 1 1.00 3.69 .1748 1 1.00 3.69 .1749 1 1.00 3.79 .1750 1 1.00 3.68 .1751 1 1.00 3.79 .1752 1 1.00 4.27 .1753 1 1.00 3.63 .1754 1 1.00 4.11 .1755 1 1.00 4.03 .1756 1 1.00 3.65 .1757 2 1.00 4.18 .1758 1 1.00 4.28 .1759 1 1.00 3.70 .1760 1 1.00 3.71 .1761 1 1.00 3.76 .1762 1 1.00 3.59 .1763 1 1.00 4.18 .1764 1 1.00 3.81 .1765 1 1.00 3.68 .1766 1 1.00 3.55 .1767 1 1.00 3.57 .1768 1 1.00 3.51 .1769 1 1.00 4.09 .1770 1 1.00 3.50 .1771 1 1.00 3.60 .1772 2 1.00 4.01 .1773 1 1.00 3.67 .1774 1 1.00 3.40 .1775 1 1.00 3.69 .1776 1 1.00 3.56 .1777 3 1.00 4.19 .1778 4 1.00 4.33 .1779 1 1.00 3.85 .1780 1 1.00 3.37 .1781 1 1.00 3.53 .1782 2 1.00 3.29 .1783 1 1.00 3.59 .1784 1 1.00 3.66 .1785 1 1.00 3.67 .1786 2 1.00 3.57 .1787 1 1.00 3.55 .1788 1 1.00 3.55 .1789 1 1.00 3.51 .1790 1 1.00 3.60 .1791 1 1.00 3.99 .1792 1 1.00 3.62 .1793 1 1.00 3.51 .1794 1 1.00 3.55 .1795 1 1.00 3.40 .1796 1 1.00 3.68 .1797 1 1.00 3.64 .1798 1 1.00 3.43 .1799 1 1.00 3.84 .1800 1 1.00 3.65 .1801 1 1.00 3.42 .1802 1 1.00 3.47 .1803 1 1.00 3.68 .1804 1 1.00 3.90 .1805 1 1.00 4.74 .1806 1 1.00 3.67 .1807 1 1.00 3.59 .1808 1 1.00 3.44 .1809 1 1.00 3.48 .1810 1 1.00 3.50 .1811 1 1.00 3.59 .1812 1 1.00 3.69 .1813 2 1.00 3.52 .1814 1 1.00 3.50 .1815 1 1.00 3.45 .1816 1 1.00 3.52 .1817 1 1.00 3.64 .1818 1 1.00 3.60 .1819 1 1.00 3.39 .1820 1 1.00 3.46 .1821 1 1.00 3.42 .1822 1 1.00 3.43 .1823 1 1.00 3.44 .1824 1 1.00 3.50 .1825 1 1.00 3.44 .1826 1 1.00 3.44 .1827 1 1.00 3.32 .1828 1 1.00 3.41 .1829 1 1.00 3.41 .1830 1 1.00 3.41 .1831 1 1.00 3.43 .1832 1 1.00 3.24 .1833 1 1.00 3.18 .1834 1 1.00 3.33 .1835 1 1.00 3.32 .1836 1 1.00 3.20 .1837 1 1.00 3.19 .1838 1 1.00 3.38 .1839 1 1.00 3.42 .1840 1 1.00 3.07 .1841 1 1.00 3.29 .1842 1 1.00 3.27 .1843 1 1.00 3.47 .1844 2 1.00 3.11 .1845 1 1.00 3.32 .1846 2 1.00 3.68 .1847 1 1.00 3.37 .1848 1 1.00 3.46 .1849 1 1.00 3.43 .1850 1 1.00 3.80 .1851 1 1.00 4.21 .1852 1 1.00 3.29 .1853 1 1.00 3.44 .1854 1 1.00 3.38 .1855 1 1.00 3.36 .1856 1 1.00 3.25 .1857 1 1.00 3.41 .1858 1 1.00 3.32 .1859 1 1.00 3.29 .1860 1 1.00 3.10 .1861 1 1.00 3.11 .1862 1 1.00 3.18 .1863 1 1.00 2.96 .1864 1 1.00 3.22 .1865 1 1.00 3.02 .1866 1 1.00 3.10 .1867 3 1.00 3.03 .1868 1 1.00 3.06 .1869 1 1.00 3.01 .1870 1 1.00 3.11 .1871 1 1.00 3.05 .1872 1 1.00 3.15 .1873 1 1.00 3.05 .1874 1 1.00 3.66 .1875 2 1.00 3.05 .1876 1 1.00 3.07 .1877 1 1.00 2.98 .1878 1 1.00 3.01 .1879 1 1.00 2.97 .1880 1 1.00 3.55 .1881 1 1.00 2.99 .1882 1 1.00 3.04 .1883 1 1.00 3.07 .1884 1 1.00 3.41 .1885 1 1.00 2.88 .1886 1 1.00 2.97 .1887 1 1.00 3.00 .1888 1 1.00 2.94 .1889 1 1.00 2.97 .1890 1 1.00 2.77 .1891 1 1.00 2.92 .1892 1 1.00 2.96 .1893 1 1.00 2.91 .1894 1 1.00 2.94 .1895 1 1.00 3.16 .1896 3 1.00 3.02 .1897 3 1.00 2.88 .1898 1 1.00 2.90 .1899 1 1.00 2.86 .1900 1 1.00 2.99 .1901 1 1.00 2.86 .1902 1 1.00 2.76 .1903 1 1.00 2.79 .1904 2 1.00 2.82 .1905 1 1.00 3.08 .1906 1 1.00 2.76 .1907 1 1.00 2.85 .1908 1 1.00 2.75 .1909 1 1.00 2.70 .1910 1 1.00 2.77 .1911 1 1.00 2.86 .1912 1 1.00 2.69 .1913 1 1.00 2.83 .1914 1 1.00 2.83 .1915 2 1.00 2.96 .1916 2 1.00 3.02 .1917 2 1.00 2.83 .1918 1 1.00 2.71 .1919 1 1.00 2.84 .1920 1 1.00 2.83 .1921 1 1.00 2.71 .1922 1 1.00 2.89 .1923 1 1.00 2.85 .1924 1 1.00 2.86 .1925 1 1.00 2.66 .1926 1 1.00 2.55 .1927 1 1.00 2.64 .1928 2 1.00 3.03 .1929 1 1.00 2.62 .1930 1 1.00 2.58 .1931 1 1.00 2.59 .1932 1 1.00 2.55 .1933 1 1.00 2.60 .1934 1 1.00 2.47 .1935 1 1.00 2.66 .1936 1 1.00 2.70 .1937 1 1.00 2.43 .1938 1 1.00 2.56 .1939 1 1.00 2.55 .1940 1 1.00 2.61 .1941 1 1.00 2.61 .1942 1 1.00 2.63 .1943 1 1.00 2.52 .1944 1 1.00 2.50 .1945 1 1.00 2.38 .1946 1 1.00 2.37 .1947 1 1.00 2.68 .1948 2 1.00 2.72 .1949 1 1.00 2.50 .1950 1 1.00 2.55 .1951 1 1.00 2.47 .1952 1 1.00 2.49 .1953 1 1.00 2.57 .1954 1 1.00 2.44 .1955 1 1.00 2.72 .1956 1 1.00 2.48 .1957 1 1.00 2.46 .1958 1 1.00 2.35 .1959 1 1.00 2.38 .1960 1 1.00 2.47 .1961 2 1.00 2.51 .1962 1 1.00 2.42 .1963 1 1.00 2.71 .1964 2 1.00 2.44 .1965 1 1.00 2.45 .1966 1 1.00 2.49 .1967 1 1.00 2.44 .1968 1 1.00 2.51 .1969 1 1.00 2.45 .1970 1 1.00 2.40 .1971 1 1.00 2.55 .1972 1 1.00 2.43 .1973 1 1.00 2.39 .1974 2 1.00 2.35 .1975 1 1.00 2.24 .1976 1 1.00 2.33 .1977 1 1.00 2.53 .1978 1 1.00 3.35 .1979 1 1.00 2.39 .1980 1 1.00 2.43 .1981 1 1.00 2.15 .1982 1 1.00 2.29 .1983 1 1.00 2.18 .1984 1 1.00 2.31 .1985 1 1.00 2.21 .1986 1 1.00 2.58 .1987 1 1.00 2.24 .1988 1 1.00 2.26 .1989 1 1.00 2.25 .1990 1 1.00 2.11 .1991 1 1.00 2.26 .1992 1 1.00 2.26 .1993 1 1.00 2.14 .1994 1 1.00 2.14 .1995 1 1.00 2.31 .1996 2 1.00 2.54 .1997 1 1.00 2.13 .1998 1 1.00 2.29 .1999 2 1.00 2.31 .2000 1 1.00 1.94 .2001 1 1.00 2.06 .2002 1 1.00 2.15 .2003 1 1.00 2.11 .2004 1 1.00 2.14 .2005 1 1.00 2.19 .2006 1 1.00 2.11 .2007 1 1.00 2.04 .2008 1 1.00 2.12 .2009 1 1.00 2.07 .2010 1 1.00 2.13 .2011 1 1.00 2.17 .2012 1 1.00 2.05 .2013 1 1.00 2.05 .2014 1 1.00 2.14 .2015 1 1.00 2.03 .2016 1 1.00 1.99 .2017 1 1.00 1.97 .2018 1 1.00 1.95 .2019 1 1.00 2.04 .2020 1 1.00 2.11 .2021 1 1.00 1.97 .2022 2 1.00 2.39 .2023 1 1.00 2.05 .2024 2 1.00 2.02 .2025 2 1.00 2.09 .2026 1 1.00 2.03 .2027 1 1.00 2.28 .2028 1 1.00 1.99 .2029 1 1.00 1.93 .2030 1 1.00 2.04 .2031 1 1.00 1.94 .2032 1 1.00 2.00 .2033 1 1.00 2.07 .2034 1 1.00 2.04 .2035 1 1.00 1.95 .2036 1 1.00 2.01 .2037 1 1.00 1.96 .2038 1 1.00 1.99 .2039 1 1.00 2.11 .2040 1 1.00 1.99 .2041 1 1.00 2.06 .2042 2 1.00 1.94 .2043 1 1.00 2.02 .2044 1 1.00 2.01 .2045 1 1.00 2.08 .2046 1 1.00 1.92 .2047 2 1.00 2.13 EXTRACT_IMAGE: b1: masked 106 pixels % Compiled module: FITFLATWIDTH. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITFLATWIDTH: b1: Median spatial widths = 0.96 0.98 0.97 0.99 pix (LL LR UL UR) SPCALIB: b1: Using Cubic, median chi squareds: vs SPCALIB: b1: Found 0 bright pixels in extracted flat sdR-b1-00034585.fit SPCALIB: b1: Tracing flat # 2 of 2 SPCALIB: b1: Reading flat sdR-b1-00034591.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.68698 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1202.65 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1183. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.05564 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1027.42 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1011. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Tracing 320 fibers in sdR-b1-00034591.fit TRACE320CEN: b1: Big gap at fiber= 20, x= 138.69, dx= 7.95 TRACE320CEN: b1: Big gap at fiber= 40, x= 265.14, dx= 8.12 TRACE320CEN: b1: Big gap at fiber= 60, x= 390.69, dx= 7.63 TRACE320CEN: b1: Big gap at fiber= 80, x= 517.04, dx= 8.74 TRACE320CEN: b1: Big gap at fiber= 100, x= 642.18, dx= 8.02 TRACE320CEN: b1: Big gap at fiber= 120, x= 767.69, dx= 8.55 TRACE320CEN: b1: Big gap at fiber= 140, x= 892.76, dx= 8.47 TRACE320CEN: b1: Big gap at fiber= 160, x=1017.22, dx= 7.95 TRACE320CEN: b1: Big gap at fiber= 180, x=1142.62, dx= 8.77 TRACE320CEN: b1: Big gap at fiber= 200, x=1267.46, dx= 7.68 TRACE320CEN: b1: Big gap at fiber= 220, x=1393.03, dx= 8.59 TRACE320CEN: b1: Big gap at fiber= 260, x=1643.67, dx= 8.26 TRACE320CEN: b1: Big gap at fiber= 280, x=1769.36, dx= 7.80 TRACE320CEN: b1: Big gap at fiber= 300, x=1895.96, dx= 8.39 TRACE320CRUDE: b1: Warning: Fixing traces: 90 91 163 164 251 294 SPCALIB: b1: Fitting traces in sdR-b1-00034591.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 1 7 2048 0 8 2048 0 9 2048 1 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 2 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 2 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 13 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 1 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 1 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 4 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 61 279 2048 54 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 1 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 1 313 2048 0 314 2048 0 315 2048 0 316 2048 4 317 2048 0 318 2048 0 319 2048 1 XY2TRACESET: b1: Total rejected = 147 SPCALIB: b1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 1.73 .0004 1 1.00 1.59 .0005 1 1.00 1.74 .0006 1 1.00 1.78 .0007 1 1.00 1.66 .0008 1 1.00 1.67 .0009 1 1.00 1.71 .0010 1 1.00 1.74 .0011 1 1.00 1.99 .0012 1 1.00 1.84 .0013 1 1.00 1.99 .0014 1 1.00 1.88 .0015 1 1.00 1.95 .0016 1 1.00 1.92 .0017 1 1.00 1.99 .0018 1 1.00 1.98 .0019 1 1.00 1.96 .0020 1 1.00 2.01 .0021 1 1.00 2.17 .0022 1 1.00 2.27 .0023 1 1.00 2.27 .0024 2 1.00 2.18 .0025 1 1.00 2.10 .0026 1 1.00 2.17 .0027 1 1.00 2.14 .0028 1 1.00 2.23 .0029 1 1.00 2.24 .0030 1 1.00 2.68 .0031 1 1.00 2.27 .0032 1 1.00 2.18 .0033 1 1.00 2.38 .0034 3 1.00 2.22 .0035 4 1.00 2.41 .0036 1 1.00 2.50 .0037 2 1.00 2.44 .0038 1 1.00 2.43 .0039 1 1.00 2.47 .0040 1 1.00 2.44 .0041 1 1.00 2.29 .0042 1 1.00 2.42 .0043 1 1.00 2.50 .0044 1 1.00 2.41 .0045 1 1.00 2.57 .0046 1 1.00 2.54 .0047 1 1.00 2.41 .0048 1 1.00 2.46 .0049 1 1.00 2.51 .0050 1 1.00 2.51 .0051 1 1.00 2.49 .0052 1 1.00 2.36 .0053 1 1.00 2.51 .0054 1 1.00 2.61 .0055 1 1.00 2.57 .0056 2 1.00 2.49 .0057 1 1.00 2.54 .0058 1 1.00 2.58 .0059 1 1.00 2.74 .0060 1 1.00 2.53 .0061 1 1.00 2.40 .0062 1 1.00 2.73 .0063 1 1.00 2.41 .0064 1 1.00 2.43 .0065 1 1.00 2.48 .0066 1 1.00 2.51 .0067 1 1.00 2.39 .0068 1 1.00 2.33 .0069 1 1.00 2.55 .0070 1 1.00 2.54 .0071 1 1.00 2.49 .0072 1 1.00 2.47 .0073 3 1.00 2.50 .0074 1 1.00 2.40 .0075 1 1.00 2.65 .0076 1 1.00 2.94 .0077 1 1.00 2.38 .0078 1 1.00 2.49 .0079 1 1.00 2.40 .0080 1 1.00 2.44 .0081 1 1.00 2.51 .0082 1 1.00 2.45 .0083 1 1.00 2.48 .0084 1 1.00 2.52 .0085 1 1.00 2.28 .0086 1 1.00 2.45 .0087 1 1.00 2.54 .0088 1 1.00 2.54 .0089 1 1.00 2.43 .0090 1 1.00 2.64 .0091 1 1.00 2.60 .0092 1 1.00 2.46 .0093 1 1.00 2.49 .0094 1 1.00 2.43 .0095 1 1.00 2.56 .0096 2 1.00 2.73 .0097 3 1.00 2.47 .0098 1 1.00 2.63 .0099 1 1.00 2.52 .0100 1 1.00 2.46 .0101 1 1.00 2.60 .0102 1 1.00 2.49 .0103 1 1.00 2.53 .0104 1 1.00 2.45 .0105 1 1.00 2.51 .0106 1 1.00 2.55 .0107 1 1.00 2.56 .0108 1 1.00 2.44 .0109 1 1.00 2.44 .0110 1 1.00 2.39 .0111 1 1.00 2.25 .0112 1 1.00 2.54 .0113 1 1.00 2.44 .0114 1 1.00 2.49 .0115 1 1.00 2.37 .0116 1 1.00 2.36 .0117 1 1.00 2.62 .0118 1 1.00 2.37 .0119 1 1.00 2.44 .0120 1 1.00 2.49 .0121 1 1.00 2.52 .0122 1 1.00 2.53 .0123 1 1.00 2.43 .0124 1 1.00 2.40 .0125 1 1.00 2.36 .0126 1 1.00 2.40 .0127 1 1.00 2.35 .0128 1 1.00 2.46 .0129 1 1.00 2.50 .0130 1 1.00 2.43 .0131 1 1.00 2.55 .0132 1 1.00 2.53 .0133 1 1.00 2.52 .0134 1 1.00 2.30 .0135 2 1.00 2.53 .0136 1 1.00 2.42 .0137 1 1.00 2.36 .0138 1 1.00 2.51 .0139 1 1.00 2.34 .0140 1 1.00 2.40 .0141 1 1.00 2.28 .0142 1 1.00 2.50 .0143 1 1.00 2.55 .0144 1 1.00 2.45 .0145 1 1.00 2.42 .0146 1 1.00 2.39 .0147 1 1.00 2.37 .0148 1 1.00 2.53 .0149 1 1.00 2.58 .0150 3 1.00 2.55 .0151 4 1.00 2.50 .0152 1 1.00 2.47 .0153 1 1.00 2.35 .0154 1 1.00 2.43 .0155 1 1.00 2.47 .0156 1 1.00 2.54 .0157 1 1.00 2.42 .0158 1 1.00 2.56 .0159 1 1.00 2.45 .0160 1 1.00 2.39 .0161 1 1.00 2.53 .0162 1 1.00 2.57 .0163 1 1.00 2.39 .0164 1 1.00 2.51 .0165 1 1.00 2.34 .0166 1 1.00 2.47 .0167 1 1.00 2.51 .0168 1 1.00 2.53 .0169 1 1.00 2.60 .0170 1 1.00 2.67 .0171 1 1.00 2.66 .0172 1 1.00 2.58 .0173 1 1.00 2.55 .0174 1 1.00 2.53 .0175 1 1.00 2.42 .0176 1 1.00 2.51 .0177 1 1.00 2.59 .0178 1 1.00 2.46 .0179 1 1.00 2.52 .0180 1 1.00 2.48 .0181 2 1.00 2.57 .0182 1 1.00 2.80 .0183 1 1.00 2.64 .0184 1 1.00 2.44 .0185 1 1.00 2.95 .0186 1 1.00 2.56 .0187 1 1.00 2.57 .0188 1 1.00 2.63 .0189 1 1.00 2.55 .0190 1 1.00 2.67 .0191 1 1.00 2.57 .0192 1 1.00 2.61 .0193 1 1.00 2.82 .0194 1 1.00 2.61 .0195 1 1.00 2.80 .0196 1 1.00 2.56 .0197 1 1.00 2.58 .0198 1 1.00 2.69 .0199 1 1.00 2.70 .0200 1 1.00 2.67 .0201 1 1.00 2.72 .0202 1 1.00 3.01 .0203 1 1.00 2.74 .0204 1 1.00 2.74 .0205 2 1.00 2.93 .0206 1 1.00 2.78 .0207 1 1.00 2.80 .0208 1 1.00 2.84 .0209 2 1.00 2.89 .0210 1 1.00 2.74 .0211 1 1.00 2.93 .0212 1 1.00 3.03 .0213 1 1.00 2.95 .0214 1 1.00 2.97 .0215 1 1.00 3.04 .0216 1 1.00 3.12 .0217 2 1.00 2.92 .0218 1 1.00 3.06 .0219 1 1.00 3.01 .0220 1 1.00 3.14 .0221 1 1.00 3.10 .0222 1 1.00 3.22 .0223 1 1.00 3.14 .0224 1 1.00 3.31 .0225 1 1.00 3.15 .0226 1 1.00 3.36 .0227 1 1.00 3.70 .0228 1 1.00 3.48 .0229 1 1.00 3.24 .0230 1 1.00 3.37 .0231 1 1.00 3.29 .0232 1 1.00 3.60 .0233 1 1.00 3.22 .0234 1 1.00 3.58 .0235 1 1.00 3.33 .0236 1 1.00 3.57 .0237 1 1.00 3.57 .0238 1 1.00 3.52 .0239 3 1.00 3.46 .0240 1 1.00 4.03 .0241 1 1.00 3.67 .0242 1 1.00 3.61 .0243 1 1.00 3.75 .0244 1 1.00 3.76 .0245 1 1.00 3.98 .0246 1 1.00 3.67 .0247 1 1.00 3.81 .0248 1 1.00 3.84 .0249 1 1.00 3.85 .0250 1 1.00 3.79 .0251 1 1.00 3.77 .0252 1 1.00 3.92 .0253 1 1.00 3.92 .0254 1 1.00 4.00 .0255 1 1.00 4.02 .0256 1 1.00 3.93 .0257 1 1.00 4.15 .0258 1 1.00 4.01 .0259 1 1.00 3.99 .0260 1 1.00 3.92 .0261 1 1.00 4.06 .0262 1 1.00 4.12 .0263 1 1.00 4.20 .0264 1 1.00 3.78 .0265 1 1.00 4.21 .0266 1 1.00 4.26 .0267 1 1.00 4.32 .0268 1 1.00 4.17 .0269 1 1.00 4.32 .0270 1 1.00 4.25 .0271 1 1.00 4.77 .0272 1 1.00 4.47 .0273 1 1.00 4.45 .0274 1 1.00 4.34 .0275 1 1.00 4.40 .0276 1 1.00 4.36 .0277 1 1.00 4.47 .0278 1 1.00 4.58 .0279 1 1.00 4.51 .0280 1 1.00 4.49 .0281 1 1.00 4.41 .0282 1 1.00 4.59 .0283 1 1.00 4.51 .0284 1 1.00 4.41 .0285 1 1.00 4.76 .0286 1 1.00 4.64 .0287 1 1.00 4.68 .0288 1 1.00 4.64 .0289 1 1.00 4.73 .0290 1 1.00 4.60 .0291 1 1.00 4.90 .0292 1 1.00 4.88 .0293 1 1.00 4.71 .0294 1 1.00 4.93 .0295 1 1.00 4.69 .0296 1 1.00 4.76 .0297 1 1.00 5.01 .0298 1 1.00 4.98 .0299 1 1.00 4.91 .0300 2 1.00 5.13 .0301 1 1.00 5.15 .0302 1 1.00 5.18 .0303 1 1.00 5.36 .0304 1 1.00 5.09 .0305 1 1.00 5.09 .0306 1 1.00 5.07 .0307 1 1.00 5.29 .0308 1 1.00 5.48 .0309 1 1.00 5.31 .0310 1 1.00 5.22 .0311 1 1.00 5.29 .0312 1 1.00 5.46 .0313 1 1.00 5.59 .0314 1 1.00 5.40 .0315 1 1.00 5.51 .0316 1 1.00 5.54 .0317 2 1.00 5.39 .0318 1 1.00 5.93 .0319 1 1.00 5.63 .0320 1 1.00 5.66 .0321 1 1.00 5.65 .0322 1 1.00 5.61 .0323 1 1.00 5.72 .0324 1 1.00 5.55 .0325 1 1.00 5.79 .0326 1 1.00 5.83 .0327 1 1.00 5.72 .0328 1 1.00 5.84 .0329 1 1.00 6.01 .0330 1 1.00 5.85 .0331 1 1.00 6.09 .0332 1 1.00 6.11 .0333 1 1.00 6.07 .0334 1 1.00 5.83 .0335 1 1.00 6.17 .0336 1 1.00 6.16 .0337 1 1.00 6.23 .0338 2 1.00 6.23 .0339 2 1.00 6.22 .0340 1 1.00 6.38 .0341 1 1.00 6.17 .0342 1 1.00 6.23 .0343 1 1.00 6.21 .0344 1 1.00 6.28 .0345 1 1.00 6.27 .0346 1 1.00 6.38 .0347 1 1.00 6.34 .0348 1 1.00 6.28 .0349 1 1.00 6.49 .0350 1 1.00 6.30 .0351 1 1.00 6.45 .0352 1 1.00 6.60 .0353 1 1.00 6.43 .0354 1 1.00 6.49 .0355 1 1.00 7.17 .0356 1 1.00 6.93 .0357 1 1.00 6.59 .0358 1 1.00 6.56 .0359 1 1.00 6.62 .0360 1 1.00 6.58 .0361 1 1.00 6.80 .0362 1 1.00 6.59 .0363 1 1.00 6.87 .0364 1 1.00 6.87 .0365 1 1.00 7.05 .0366 1 1.00 6.68 .0367 1 1.00 6.73 .0368 1 1.00 6.90 .0369 1 1.00 6.84 .0370 1 1.00 6.93 .0371 1 1.00 6.58 .0372 1 1.00 7.06 .0373 1 1.00 6.87 .0374 1 1.00 6.78 .0375 1 1.00 6.89 .0376 1 1.00 7.04 .0377 1 1.00 7.03 .0378 1 1.00 7.02 .0379 1 1.00 6.94 .0380 1 1.00 7.13 .0381 1 1.00 7.45 .0382 1 1.00 7.22 .0383 1 1.00 7.38 .0384 1 1.00 7.16 .0385 1 1.00 7.16 .0386 1 1.00 7.22 .0387 1 1.00 7.31 .0388 1 1.00 7.36 .0389 1 1.00 7.31 .0390 2 1.00 7.45 .0391 1 1.00 7.29 .0392 1 1.00 7.11 .0393 1 1.00 7.43 .0394 1 1.00 7.38 .0395 1 1.00 7.50 .0396 1 1.00 7.67 .0397 1 1.00 7.36 .0398 1 1.00 7.57 .0399 1 1.00 7.53 .0400 1 1.00 7.44 .0401 1 1.00 7.38 .0402 1 1.00 7.35 .0403 1 1.00 7.51 .0404 1 1.00 7.68 .0405 2 1.00 7.45 .0406 1 1.00 7.68 .0407 1 1.00 7.48 .0408 1 1.00 7.57 .0409 1 1.00 7.51 .0410 1 1.00 7.51 .0411 1 1.00 7.48 .0412 1 1.00 7.66 .0413 1 1.00 7.48 .0414 1 1.00 7.97 .0415 1 1.00 8.09 .0416 1 1.00 7.70 .0417 1 1.00 7.65 .0418 1 1.00 7.92 .0419 1 1.00 8.92 .0420 1 1.00 8.62 .0421 1 1.00 8.62 .0422 1 1.00 8.00 .0423 1 1.00 8.39 .0424 1 1.00 8.01 .0425 1 1.00 7.94 .0426 1 1.00 8.41 .0427 1 1.00 8.13 .0428 1 1.00 7.87 .0429 1 1.00 8.29 .0430 1 1.00 8.22 .0431 1 1.00 8.40 .0432 1 1.00 8.62 .0433 1 1.00 8.25 .0434 1 1.00 8.29 .0435 1 1.00 7.99 .0436 1 1.00 8.06 .0437 1 1.00 8.52 .0438 1 1.00 8.22 .0439 1 1.00 8.49 .0440 1 1.00 8.31 .0441 1 1.00 8.42 .0442 2 1.00 8.30 .0443 1 1.00 8.76 .0444 2 1.00 8.70 .0445 1 1.00 8.56 .0446 1 1.00 8.40 .0447 1 1.00 8.52 .0448 1 1.00 8.64 .0449 1 1.00 8.39 .0450 1 1.00 8.46 .0451 1 1.00 8.72 .0452 1 1.00 8.79 .0453 1 1.00 8.65 .0454 1 1.00 8.53 .0455 1 1.00 8.72 .0456 1 1.00 8.29 .0457 1 1.00 8.76 .0458 1 1.00 8.86 .0459 1 1.00 8.42 .0460 1 1.00 8.78 .0461 1 1.00 8.80 .0462 1 1.00 8.52 .0463 1 1.00 8.37 .0464 1 1.00 8.56 .0465 1 1.00 8.38 .0466 1 1.00 8.60 .0467 1 1.00 8.93 .0468 1 1.00 8.78 .0469 1 1.00 8.84 .0470 1 1.00 9.47 .0471 1 1.00 8.41 .0472 1 1.00 8.73 .0473 1 1.00 8.64 .0474 1 1.00 8.83 .0475 1 1.00 8.84 .0476 1 1.00 8.70 .0477 1 1.00 8.46 .0478 1 1.00 8.58 .0479 1 1.00 8.70 .0480 1 1.00 8.89 .0481 1 1.00 8.55 .0482 1 1.00 8.74 .0483 1 1.00 8.55 .0484 1 1.00 8.71 .0485 1 1.00 8.60 .0486 1 1.00 8.54 .0487 1 1.00 8.55 .0488 1 1.00 8.80 .0489 1 1.00 8.57 .0490 1 1.00 8.72 .0491 1 1.00 8.67 .0492 1 1.00 8.75 .0493 1 1.00 8.49 .0494 1 1.00 8.57 .0495 1 1.00 8.41 .0496 1 1.00 8.41 .0497 1 1.00 8.52 .0498 1 1.00 8.41 .0499 1 1.00 8.64 .0500 1 1.00 8.67 .0501 2 1.00 8.65 .0502 1 1.00 8.55 .0503 1 1.00 8.82 .0504 1 1.00 8.52 .0505 1 1.00 8.59 .0506 1 1.00 8.43 .0507 1 1.00 8.69 .0508 1 1.00 8.44 .0509 1 1.00 8.90 .0510 1 1.00 8.62 .0511 1 1.00 8.79 .0512 1 1.00 8.74 .0513 1 1.00 8.56 .0514 1 1.00 8.64 .0515 1 1.00 8.59 .0516 1 1.00 8.63 .0517 1 1.00 8.75 .0518 1 1.00 8.49 .0519 1 1.00 8.50 .0520 1 1.00 8.64 .0521 1 1.00 8.48 .0522 1 1.00 8.74 .0523 1 1.00 8.64 .0524 1 1.00 8.90 .0525 1 1.00 8.70 .0526 1 1.00 8.70 .0527 1 1.00 8.47 .0528 2 1.00 8.57 .0529 1 1.00 8.82 .0530 1 1.00 8.62 .0531 1 1.00 8.53 .0532 1 1.00 8.40 .0533 1 1.00 8.72 .0534 1 1.00 8.51 .0535 1 1.00 8.54 .0536 1 1.00 8.47 .0537 1 1.00 8.68 .0538 1 1.00 8.46 .0539 1 1.00 8.62 .0540 1 1.00 8.68 .0541 1 1.00 8.41 .0542 1 1.00 8.55 .0543 1 1.00 8.67 .0544 1 1.00 8.28 .0545 1 1.00 8.43 .0546 1 1.00 8.58 .0547 1 1.00 8.21 .0548 1 1.00 8.25 .0549 1 1.00 8.50 .0550 1 1.00 8.45 .0551 1 1.00 8.30 .0552 1 1.00 8.64 .0553 1 1.00 8.64 .0554 1 1.00 8.43 .0555 1 1.00 8.53 .0556 1 1.00 8.19 .0557 1 1.00 8.16 .0558 1 1.00 8.20 .0559 1 1.00 8.19 .0560 1 1.00 8.15 .0561 1 1.00 8.36 .0562 1 1.00 8.17 .0563 1 1.00 8.10 .0564 1 1.00 8.22 .0565 1 1.00 8.01 .0566 1 1.00 8.55 .0567 1 1.00 8.07 .0568 1 1.00 8.15 .0569 1 1.00 8.49 .0570 1 1.00 7.96 .0571 1 1.00 8.22 .0572 1 1.00 8.30 .0573 1 1.00 8.04 .0574 1 1.00 7.90 .0575 1 1.00 8.01 .0576 1 1.00 7.79 .0577 1 1.00 7.92 .0578 1 1.00 8.10 .0579 1 1.00 7.74 .0580 1 1.00 7.87 .0581 1 1.00 7.91 .0582 1 1.00 7.88 .0583 1 1.00 7.85 .0584 1 1.00 7.92 .0585 1 1.00 7.77 .0586 1 1.00 8.05 .0587 1 1.00 7.73 .0588 1 1.00 8.08 .0589 1 1.00 7.94 .0590 1 1.00 7.83 .0591 1 1.00 7.73 .0592 1 1.00 7.75 .0593 1 1.00 7.49 .0594 1 1.00 7.79 .0595 1 1.00 7.98 .0596 1 1.00 8.10 .0597 1 1.00 7.52 .0598 1 1.00 7.33 .0599 1 1.00 7.36 .0600 1 1.00 7.68 .0601 1 1.00 7.70 .0602 1 1.00 7.54 .0603 1 1.00 7.54 .0604 1 1.00 7.76 .0605 1 1.00 7.40 .0606 1 1.00 7.84 .0607 1 1.00 7.68 .0608 1 1.00 7.65 .0609 1 1.00 7.63 .0610 1 1.00 7.60 .0611 1 1.00 7.55 .0612 1 1.00 8.78 .0613 1 1.00 7.65 .0614 3 1.00 7.67 .0615 1 1.00 8.03 .0616 1 1.00 7.54 .0617 1 1.00 7.62 .0618 1 1.00 7.69 .0619 1 1.00 7.30 .0620 1 1.00 7.64 .0621 1 1.00 7.42 .0622 1 1.00 7.60 .0623 1 1.00 7.46 .0624 1 1.00 7.43 .0625 1 1.00 7.72 .0626 1 1.00 7.48 .0627 1 1.00 7.59 .0628 1 1.00 7.72 .0629 1 1.00 7.60 .0630 1 1.00 7.39 .0631 1 1.00 7.50 .0632 1 1.00 7.26 .0633 1 1.00 7.60 .0634 1 1.00 7.56 .0635 1 1.00 7.46 .0636 1 1.00 7.43 .0637 1 1.00 7.41 .0638 1 1.00 7.60 .0639 1 1.00 7.44 .0640 1 1.00 7.70 .0641 1 1.00 7.33 .0642 1 1.00 7.47 .0643 1 1.00 7.55 .0644 1 1.00 7.55 .0645 1 1.00 7.50 .0646 1 1.00 7.52 .0647 1 1.00 7.53 .0648 1 1.00 7.54 .0649 1 1.00 7.45 .0650 1 1.00 7.56 .0651 1 1.00 7.47 .0652 1 1.00 7.94 .0653 1 1.00 7.66 .0654 1 1.00 7.93 .0655 1 1.00 7.45 .0656 1 1.00 7.64 .0657 1 1.00 7.58 .0658 1 1.00 7.74 .0659 1 1.00 7.43 .0660 1 1.00 7.47 .0661 1 1.00 7.50 .0662 1 1.00 7.26 .0663 1 1.00 7.51 .0664 1 1.00 7.47 .0665 1 1.00 7.45 .0666 1 1.00 7.32 .0667 1 1.00 7.68 .0668 1 1.00 7.50 .0669 1 1.00 7.33 .0670 1 1.00 7.24 .0671 1 1.00 7.60 .0672 1 1.00 7.32 .0673 1 1.00 8.54 .0674 1 1.00 8.30 .0675 1 1.00 7.39 .0676 1 1.00 7.64 .0677 1 1.00 7.63 .0678 1 1.00 7.28 .0679 1 1.00 7.60 .0680 1 1.00 7.59 .0681 1 1.00 7.70 .0682 3 1.00 7.93 .0683 1 1.00 8.11 .0684 1 1.00 7.45 .0685 1 1.00 7.58 .0686 1 1.00 8.62 .0687 1 1.00 8.35 .0688 1 1.00 9.21 .0689 1 1.00 7.59 .0690 1 1.00 7.32 .0691 1 1.00 7.49 .0692 1 1.00 7.46 .0693 1 1.00 7.41 .0694 1 1.00 7.60 .0695 1 1.00 7.55 .0696 1 1.00 7.53 .0697 1 1.00 7.49 .0698 1 1.00 7.47 .0699 1 1.00 7.63 .0700 1 1.00 7.39 .0701 1 1.00 7.26 .0702 1 1.00 7.72 .0703 1 1.00 7.52 .0704 1 1.00 7.63 .0705 1 1.00 7.63 .0706 1 1.00 7.38 .0707 1 1.00 7.49 .0708 1 1.00 7.40 .0709 1 1.00 7.52 .0710 1 1.00 7.50 .0711 1 1.00 7.56 .0712 1 1.00 7.34 .0713 1 1.00 7.49 .0714 1 1.00 7.50 .0715 1 1.00 7.40 .0716 1 1.00 7.65 .0717 1 1.00 7.77 .0718 1 1.00 7.62 .0719 1 1.00 7.67 .0720 1 1.00 7.90 .0721 1 1.00 7.36 .0722 1 1.00 7.44 .0723 1 1.00 7.75 .0724 1 1.00 7.60 .0725 1 1.00 7.63 .0726 1 1.00 7.61 .0727 1 1.00 7.40 .0728 1 1.00 7.40 .0729 1 1.00 7.65 .0730 1 1.00 7.72 .0731 1 1.00 7.56 .0732 1 1.00 7.87 .0733 1 1.00 7.55 .0734 1 1.00 7.66 .0735 1 1.00 7.78 .0736 1 1.00 7.73 .0737 1 1.00 7.62 .0738 1 1.00 7.63 .0739 1 1.00 7.81 .0740 2 1.00 7.76 .0741 1 1.00 9.12 .0742 1 1.00 8.25 .0743 1 1.00 7.57 .0744 1 1.00 7.80 .0745 1 1.00 7.76 .0746 1 1.00 7.72 .0747 1 1.00 7.62 .0748 1 1.00 7.70 .0749 1 1.00 7.66 .0750 1 1.00 7.54 .0751 1 1.00 7.70 .0752 1 1.00 8.03 .0753 1 1.00 7.95 .0754 1 1.00 7.79 .0755 1 1.00 7.85 .0756 1 1.00 7.63 .0757 1 1.00 7.97 .0758 1 1.00 7.93 .0759 1 1.00 7.89 .0760 1 1.00 7.91 .0761 1 1.00 8.09 .0762 1 1.00 8.16 .0763 1 1.00 7.73 .0764 1 1.00 8.00 .0765 1 1.00 8.02 .0766 1 1.00 8.07 .0767 1 1.00 7.95 .0768 1 1.00 8.25 .0769 1 1.00 7.88 .0770 1 1.00 8.23 .0771 1 1.00 7.88 .0772 1 1.00 7.92 .0773 1 1.00 8.94 .0774 2 1.00 8.14 .0775 1 1.00 8.25 .0776 1 1.00 7.91 .0777 1 1.00 8.28 .0778 1 1.00 8.04 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1.00 6.82 .1540 1 1.00 6.80 .1541 1 1.00 7.01 .1542 1 1.00 6.92 .1543 1 1.00 6.63 .1544 1 1.00 6.70 .1545 1 1.00 6.99 .1546 1 1.00 6.73 .1547 1 1.00 6.84 .1548 1 1.00 6.88 .1549 1 1.00 6.78 .1550 1 1.00 6.67 .1551 1 1.00 6.68 .1552 1 1.00 6.82 .1553 1 1.00 6.57 .1554 1 1.00 6.51 .1555 1 1.00 6.84 .1556 1 1.00 6.44 .1557 1 1.00 6.62 .1558 1 1.00 6.58 .1559 1 1.00 6.73 .1560 1 1.00 6.18 .1561 1 1.00 6.38 .1562 1 1.00 6.77 .1563 1 1.00 6.54 .1564 1 1.00 6.89 .1565 1 1.00 6.51 .1566 1 1.00 6.40 .1567 1 1.00 6.43 .1568 1 1.00 6.43 .1569 1 1.00 6.40 .1570 1 1.00 6.21 .1571 1 1.00 5.96 .1572 1 1.00 6.18 .1573 1 1.00 6.30 .1574 1 1.00 6.28 .1575 1 1.00 6.16 .1576 1 1.00 6.15 .1577 1 1.00 6.28 .1578 1 1.00 6.36 .1579 1 1.00 6.24 .1580 1 1.00 6.14 .1581 1 1.00 6.30 .1582 1 1.00 6.31 .1583 1 1.00 7.35 .1584 1 1.00 6.23 .1585 1 1.00 6.19 .1586 1 1.00 6.07 .1587 1 1.00 6.95 .1588 1 1.00 6.54 .1589 1 1.00 6.26 .1590 2 1.00 6.20 .1591 1 1.00 6.23 .1592 1 1.00 6.02 .1593 1 1.00 6.00 .1594 1 1.00 6.30 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1.00 5.15 .1651 1 1.00 5.39 .1652 1 1.00 5.33 .1653 1 1.00 5.33 .1654 1 1.00 5.29 .1655 1 1.00 5.27 .1656 1 1.00 5.29 .1657 1 1.00 5.37 .1658 1 1.00 5.34 .1659 1 1.00 5.19 .1660 1 1.00 5.21 .1661 1 1.00 5.15 .1662 1 1.00 5.37 .1663 1 1.00 5.50 .1664 1 1.00 5.13 .1665 1 1.00 5.45 .1666 2 1.00 5.65 .1667 1 1.00 5.34 .1668 1 1.00 5.06 .1669 1 1.00 5.20 .1670 1 1.00 5.22 .1671 1 1.00 5.04 .1672 1 1.00 5.06 .1673 1 1.00 5.20 .1674 1 1.00 5.21 .1675 1 1.00 5.14 .1676 1 1.00 5.00 .1677 1 1.00 5.15 .1678 1 1.00 5.12 .1679 1 1.00 5.08 .1680 1 1.00 5.25 .1681 1 1.00 5.05 .1682 1 1.00 4.87 .1683 1 1.00 4.98 .1684 1 1.00 5.03 .1685 1 1.00 4.85 .1686 1 1.00 4.97 .1687 1 1.00 4.98 .1688 1 1.00 5.03 .1689 1 1.00 4.82 .1690 1 1.00 4.89 .1691 1 1.00 4.77 .1692 1 1.00 4.83 .1693 1 1.00 5.20 .1694 1 1.00 4.87 .1695 1 1.00 4.70 .1696 1 1.00 4.56 .1697 1 1.00 4.65 .1698 1 1.00 4.72 .1699 1 1.00 4.65 .1700 1 1.00 4.77 .1701 1 1.00 4.52 .1702 1 1.00 4.85 .1703 1 1.00 4.65 .1704 1 1.00 5.07 .1705 1 1.00 4.71 .1706 2 1.00 4.62 .1707 1 1.00 4.75 .1708 1 1.00 4.60 .1709 1 1.00 4.44 .1710 1 1.00 4.51 .1711 1 1.00 4.57 .1712 1 1.00 4.55 .1713 1 1.00 4.48 .1714 1 1.00 4.49 .1715 1 1.00 4.57 .1716 1 1.00 4.42 .1717 1 1.00 4.30 .1718 1 1.00 4.32 .1719 1 1.00 4.48 .1720 1 1.00 4.28 .1721 1 1.00 4.12 .1722 1 1.00 4.37 .1723 1 1.00 4.42 .1724 1 1.00 4.03 .1725 1 1.00 4.14 .1726 1 1.00 4.18 .1727 1 1.00 4.13 .1728 1 1.00 4.17 .1729 1 1.00 3.94 .1730 1 1.00 3.94 .1731 1 1.00 4.03 .1732 1 1.00 4.07 .1733 1 1.00 4.02 .1734 1 1.00 4.53 .1735 1 1.00 4.03 .1736 1 1.00 4.09 .1737 1 1.00 3.98 .1738 1 1.00 4.18 .1739 1 1.00 4.13 .1740 1 1.00 3.97 .1741 1 1.00 4.70 .1742 1 1.00 3.96 .1743 1 1.00 4.09 .1744 1 1.00 4.20 .1745 1 1.00 3.95 .1746 1 1.00 3.99 .1747 1 1.00 3.94 .1748 1 1.00 3.91 .1749 1 1.00 3.86 .1750 1 1.00 4.12 .1751 1 1.00 3.99 .1752 1 1.00 3.92 .1753 1 1.00 4.01 .1754 1 1.00 3.89 .1755 1 1.00 3.92 .1756 1 1.00 3.99 .1757 1 1.00 4.23 .1758 1 1.00 3.85 .1759 1 1.00 3.82 .1760 1 1.00 3.91 .1761 1 1.00 3.78 .1762 1 1.00 4.23 .1763 1 1.00 3.84 .1764 1 1.00 3.74 .1765 1 1.00 3.76 .1766 1 1.00 3.90 .1767 1 1.00 3.93 .1768 1 1.00 3.97 .1769 1 1.00 3.74 .1770 1 1.00 3.78 .1771 1 1.00 3.81 .1772 1 1.00 3.70 .1773 1 1.00 3.71 .1774 1 1.00 3.69 .1775 1 1.00 3.66 .1776 1 1.00 3.75 .1777 1 1.00 3.61 .1778 1 1.00 3.66 .1779 1 1.00 3.82 .1780 1 1.00 3.79 .1781 1 1.00 3.67 .1782 1 1.00 3.62 .1783 1 1.00 3.68 .1784 1 1.00 3.81 .1785 1 1.00 3.82 .1786 1 1.00 3.83 .1787 1 1.00 3.51 .1788 1 1.00 3.76 .1789 1 1.00 3.92 .1790 1 1.00 3.97 .1791 2 1.00 3.83 .1792 2 1.00 3.68 .1793 1 1.00 3.61 .1794 1 1.00 3.86 .1795 1 1.00 3.83 .1796 1 1.00 3.83 .1797 1 1.00 3.72 .1798 1 1.00 4.34 .1799 1 1.00 3.73 .1800 1 1.00 3.62 .1801 1 1.00 3.68 .1802 1 1.00 3.79 .1803 1 1.00 3.70 .1804 1 1.00 3.71 .1805 1 1.00 3.71 .1806 1 1.00 3.62 .1807 1 1.00 3.83 .1808 1 1.00 3.72 .1809 1 1.00 3.85 .1810 1 1.00 3.56 .1811 1 1.00 3.71 .1812 1 1.00 3.57 .1813 1 1.00 3.55 .1814 1 1.00 4.13 .1815 1 1.00 3.43 .1816 1 1.00 3.80 .1817 2 1.00 3.69 .1818 1 1.00 3.56 .1819 2 1.00 3.71 .1820 1 1.00 3.76 .1821 1 1.00 3.78 .1822 1 1.00 3.70 .1823 1 1.00 3.63 .1824 1 1.00 3.77 .1825 1 1.00 3.64 .1826 1 1.00 3.51 .1827 1 1.00 3.58 .1828 1 1.00 3.50 .1829 1 1.00 3.45 .1830 1 1.00 3.61 .1831 1 1.00 3.40 .1832 1 1.00 3.59 .1833 1 1.00 3.58 .1834 1 1.00 3.33 .1835 1 1.00 3.56 .1836 1 1.00 3.29 .1837 1 1.00 3.44 .1838 1 1.00 3.42 .1839 1 1.00 3.34 .1840 1 1.00 3.27 .1841 1 1.00 3.45 .1842 1 1.00 3.25 .1843 1 1.00 3.47 .1844 1 1.00 3.58 .1845 1 1.00 3.58 .1846 1 1.00 3.57 .1847 1 1.00 3.51 .1848 1 1.00 3.59 .1849 1 1.00 3.87 .1850 1 1.00 3.62 .1851 1 1.00 3.39 .1852 1 1.00 3.41 .1853 1 1.00 3.35 .1854 1 1.00 3.44 .1855 1 1.00 3.29 .1856 1 1.00 3.17 .1857 1 1.00 3.19 .1858 1 1.00 3.26 .1859 1 1.00 3.31 .1860 1 1.00 3.29 .1861 1 1.00 3.11 .1862 1 1.00 3.17 .1863 1 1.00 3.03 .1864 1 1.00 2.94 .1865 1 1.00 3.12 .1866 1 1.00 3.15 .1867 1 1.00 3.05 .1868 1 1.00 3.15 .1869 1 1.00 3.10 .1870 1 1.00 3.07 .1871 1 1.00 2.91 .1872 1 1.00 3.12 .1873 1 1.00 3.18 .1874 1 1.00 3.09 .1875 1 1.00 3.15 .1876 1 1.00 3.13 .1877 1 1.00 3.13 .1878 1 1.00 2.98 .1879 1 1.00 3.02 .1880 1 1.00 3.05 .1881 1 1.00 3.16 .1882 1 1.00 2.99 .1883 1 1.00 3.02 .1884 1 1.00 3.10 .1885 1 1.00 2.99 .1886 1 1.00 3.04 .1887 1 1.00 3.00 .1888 1 1.00 2.89 .1889 1 1.00 3.02 .1890 1 1.00 2.90 .1891 1 1.00 2.99 .1892 1 1.00 3.05 .1893 1 1.00 2.98 .1894 1 1.00 3.20 .1895 2 1.00 3.10 .1896 1 1.00 2.95 .1897 1 1.00 3.03 .1898 1 1.00 3.02 .1899 1 1.00 3.01 .1900 1 1.00 2.95 .1901 1 1.00 3.40 .1902 1 1.00 3.03 .1903 1 1.00 2.88 .1904 1 1.00 2.70 .1905 1 1.00 2.73 .1906 1 1.00 2.82 .1907 1 1.00 2.81 .1908 1 1.00 2.81 .1909 1 1.00 2.92 .1910 1 1.00 2.61 .1911 1 1.00 2.74 .1912 1 1.00 2.81 .1913 1 1.00 2.70 .1914 1 1.00 2.77 .1915 1 1.00 2.64 .1916 1 1.00 2.72 .1917 1 1.00 3.04 .1918 1 1.00 2.60 .1919 1 1.00 2.61 .1920 2 1.00 2.67 .1921 1 1.00 2.71 .1922 1 1.00 2.72 .1923 1 1.00 2.59 .1924 1 1.00 2.62 .1925 1 1.00 2.54 .1926 1 1.00 2.50 .1927 1 1.00 2.54 .1928 1 1.00 2.49 .1929 1 1.00 2.54 .1930 1 1.00 2.57 .1931 1 1.00 2.66 .1932 1 1.00 2.85 .1933 1 1.00 2.63 .1934 2 1.00 2.40 .1935 1 1.00 2.59 .1936 1 1.00 2.43 .1937 1 1.00 2.57 .1938 1 1.00 2.54 .1939 1 1.00 2.60 .1940 1 1.00 2.49 .1941 1 1.00 2.50 .1942 1 1.00 2.57 .1943 1 1.00 2.52 .1944 1 1.00 2.47 .1945 1 1.00 3.02 .1946 1 1.00 2.61 .1947 2 1.00 2.65 .1948 1 1.00 2.40 .1949 1 1.00 2.42 .1950 1 1.00 2.46 .1951 1 1.00 2.44 .1952 1 1.00 2.54 .1953 1 1.00 2.35 .1954 1 1.00 2.39 .1955 1 1.00 2.46 .1956 1 1.00 2.35 .1957 1 1.00 2.53 .1958 1 1.00 2.47 .1959 1 1.00 2.47 .1960 1 1.00 2.35 .1961 1 1.00 2.33 .1962 1 1.00 2.31 .1963 1 1.00 2.43 .1964 1 1.00 2.39 .1965 1 1.00 2.42 .1966 1 1.00 2.43 .1967 1 1.00 2.38 .1968 1 1.00 2.74 .1969 1 1.00 2.40 .1970 2 1.00 2.49 .1971 1 1.00 2.38 .1972 1 1.00 2.43 .1973 1 1.00 2.54 .1974 1 1.00 2.46 .1975 1 1.00 2.46 .1976 1 1.00 2.55 .1977 1 1.00 2.45 .1978 1 1.00 2.36 .1979 1 1.00 2.27 .1980 1 1.00 2.42 .1981 1 1.00 2.30 .1982 1 1.00 2.32 .1983 2 1.00 2.31 .1984 1 1.00 2.33 .1985 1 1.00 2.31 .1986 1 1.00 2.25 .1987 1 1.00 2.23 .1988 1 1.00 2.65 .1989 2 1.00 2.47 .1990 2 1.00 2.16 .1991 1 1.00 2.23 .1992 1 1.00 2.15 .1993 1 1.00 2.30 .1994 1 1.00 2.08 .1995 1 1.00 2.16 .1996 1 1.00 2.18 .1997 1 1.00 2.36 .1998 2 1.00 2.20 .1999 1 1.00 2.13 .2000 1 1.00 2.20 .2001 1 1.00 2.08 .2002 1 1.00 2.05 .2003 2 1.00 2.04 .2004 1 1.00 2.17 .2005 1 1.00 2.19 .2006 1 1.00 2.15 .2007 1 1.00 2.00 .2008 1 1.00 2.14 .2009 1 1.00 2.22 .2010 1 1.00 2.09 .2011 1 1.00 2.10 .2012 1 1.00 2.01 .2013 1 1.00 2.09 .2014 1 1.00 1.99 .2015 1 1.00 1.97 .2016 1 1.00 2.07 .2017 3 1.00 2.09 .2018 1 1.00 2.10 .2019 1 1.00 2.02 .2020 1 1.00 2.10 .2021 1 1.00 2.02 .2022 1 1.00 2.00 .2023 1 1.00 2.04 .2024 1 1.00 2.07 .2025 1 1.00 2.11 .2026 1 1.00 2.11 .2027 1 1.00 1.95 .2028 2 1.00 2.01 .2029 1 1.00 2.33 .2030 1 1.00 1.97 .2031 1 1.00 2.09 .2032 1 1.00 2.04 .2033 1 1.00 2.06 .2034 1 1.00 1.87 .2035 2 1.00 2.08 .2036 2 1.00 2.08 .2037 1 1.00 2.09 .2038 1 1.00 2.00 .2039 1 1.00 1.93 .2040 1 1.00 2.03 .2041 1 1.00 2.08 .2042 1 1.00 1.96 .2043 1 1.00 1.92 .2044 1 1.00 2.01 .2045 1 1.00 1.94 .2046 1 1.00 1.97 .2047 1 1.00 1.92 EXTRACT_IMAGE: b1: masked 81 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITFLATWIDTH: b1: Median spatial widths = 0.96 0.99 0.97 1.00 pix (LL LR UL UR) SPCALIB: b1: Using Cubic, median chi squareds: vs SPCALIB: b1: Found 0 bright pixels in extracted flat sdR-b1-00034591.fit SPCALIB: b1: Extracting arc # 1 of 2 SPCALIB: b1: Reading arc sdR-b1-00034586.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.54874 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1203.22 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1184. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 2.90388 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1026.13 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1010. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Fraction of bad pixels in arc = 2.59876e-05 % Compiled module: REJECT_ARC. SPCALIB: b1: Arc sdR-b1-00034586.fit paired with flat sdR-b1-00034585.fit % Compiled module: MATCH_TRACE. % Compiled module: FCHEBYSHEV. MATCH_TRACE: b1: Iteration: 0 Pixels Rejected: 4132 Finished? 0 MATCH_TRACE: b1: Iteration: 1 Pixels Rejected: 208 Finished? 0 MATCH_TRACE: b1: Iteration: 2 Pixels Rejected: 34 Finished? 0 MATCH_TRACE: b1: Iteration: 3 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: b1: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: b1: Iteration: 5 Pixels Rejected: 0 Finished? 1 SPCALIB: b1: Shifting traces with match_trace 0.00390625 SPCALIB: b1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.75 .0004 1 0.93 1.71 .0005 1 0.93 1.48 .0006 1 0.93 1.44 .0007 3 0.93 1.28 .0008 1 0.93 1.38 .0009 1 0.93 2.12 .0010 1 0.93 5.02 .0011 2 0.93 7.86 .0012 1 0.93 8.60 .0013 1 0.93 7.60 .0014 1 0.93 7.13 .0015 1 0.93 5.82 .0016 1 0.93 6.00 .0017 1 0.93 5.26 .0018 1 0.93 4.65 .0019 1 0.93 5.05 .0020 1 0.93 5.28 .0021 1 0.93 3.68 .0022 3 0.93 2.22 .0023 4 0.93 1.66 .0024 1 0.93 1.53 .0025 3 0.93 1.28 .0026 2 0.93 1.31 .0027 1 0.93 1.12 .0028 1 0.93 1.19 .0029 2 0.93 1.21 .0030 2 0.93 1.15 .0031 1 0.93 1.22 .0032 1 0.93 1.12 .0033 1 0.93 1.09 .0034 1 0.93 1.12 .0035 1 0.94 1.08 .0036 1 0.94 1.11 .0037 1 0.94 1.18 .0038 1 0.94 1.03 .0039 1 0.94 1.15 .0040 1 0.94 1.12 .0041 1 0.94 1.02 .0042 1 0.94 1.13 .0043 1 0.94 1.11 .0044 1 0.94 1.18 .0045 1 0.94 1.38 .0046 1 0.94 1.88 .0047 1 0.94 3.71 .0048 1 0.94 6.67 .0049 1 0.94 6.94 .0050 1 0.94 6.79 .0051 1 0.94 6.25 .0052 1 0.94 5.20 .0053 1 0.94 4.47 .0054 1 0.94 4.46 .0055 2 0.94 3.60 .0056 1 0.94 3.86 .0057 1 0.94 3.52 .0058 1 0.94 3.29 .0059 1 0.94 2.15 .0060 1 0.94 1.70 .0061 1 0.94 1.38 .0062 1 0.94 1.25 .0063 1 0.94 1.40 .0064 1 0.94 1.91 .0065 1 0.94 3.70 .0066 1 0.94 4.17 .0067 1 0.94 4.49 .0068 1 0.94 4.16 .0069 1 0.94 3.71 .0070 1 0.94 3.48 .0071 1 0.94 3.25 .0072 3 0.94 2.82 .0073 1 0.94 2.69 .0074 1 0.94 2.56 .0075 1 0.94 2.52 .0076 1 0.94 2.03 .0077 1 0.94 1.54 .0078 1 0.94 1.32 .0079 1 0.94 1.16 .0080 1 0.94 1.07 .0081 1 0.94 1.12 .0082 1 0.94 1.11 .0083 1 0.94 1.10 .0084 1 0.94 1.12 .0085 1 0.94 1.10 .0086 1 0.94 1.09 .0087 1 0.94 1.08 .0088 1 0.94 1.09 .0089 1 0.94 1.08 .0090 1 0.94 1.16 .0091 1 0.94 1.07 .0092 1 0.94 1.19 .0093 3 0.94 1.15 .0094 1 0.94 1.20 .0095 1 0.95 1.05 .0096 2 0.95 1.20 .0097 1 0.95 1.11 .0098 1 0.95 1.07 .0099 1 0.95 1.10 .0100 1 0.95 1.44 .0101 1 0.95 1.73 .0102 1 0.95 1.68 .0103 1 0.95 1.75 .0104 1 0.95 1.64 .0105 1 0.95 1.65 .0106 3 0.95 1.61 .0107 1 0.95 1.71 .0108 3 0.95 1.49 .0109 2 0.95 1.45 .0110 1 0.95 1.28 .0111 1 0.95 1.36 .0112 1 0.95 1.24 .0113 1 0.95 1.13 .0114 1 0.95 1.12 .0115 1 0.95 1.05 .0116 1 0.95 1.04 .0117 1 0.95 1.12 .0118 1 0.95 1.07 .0119 1 0.95 1.14 .0120 1 0.95 1.06 .0121 1 0.95 1.12 .0122 1 0.95 1.03 .0123 1 0.95 1.09 .0124 1 0.95 1.09 .0125 1 0.95 1.03 .0126 1 0.95 1.06 .0127 1 0.95 1.12 .0128 1 0.95 1.06 .0129 1 0.95 1.06 .0130 1 0.95 1.08 .0131 1 0.95 1.07 .0132 1 0.95 1.04 .0133 1 0.95 1.04 .0134 1 0.95 1.07 .0135 1 0.95 1.08 .0136 1 0.95 1.15 .0137 1 0.95 1.10 .0138 1 0.95 1.05 .0139 1 0.95 1.02 .0140 1 0.95 1.08 .0141 1 0.95 1.05 .0142 1 0.95 1.19 .0143 1 0.95 1.27 .0144 1 0.95 1.46 .0145 1 0.95 1.44 .0146 1 0.95 1.55 .0147 1 0.95 1.44 .0148 1 0.95 1.41 .0149 1 0.95 1.35 .0150 1 0.95 1.30 .0151 1 0.95 1.24 .0152 1 0.95 1.23 .0153 1 0.96 1.26 .0154 2 0.96 1.27 .0155 1 0.96 1.21 .0156 1 0.96 1.22 .0157 1 0.96 1.11 .0158 1 0.96 1.14 .0159 1 0.96 1.06 .0160 1 0.96 1.12 .0161 1 0.96 1.10 .0162 1 0.96 1.08 .0163 1 0.96 1.12 .0164 1 0.96 1.09 .0165 1 0.96 1.15 .0166 1 0.96 1.25 .0167 1 0.96 1.67 .0168 1 0.96 3.26 .0169 1 0.96 5.42 .0170 1 0.96 4.86 .0171 1 0.96 4.09 .0172 1 0.96 4.23 .0173 1 0.96 3.72 .0174 2 0.96 3.24 .0175 1 0.96 2.99 .0176 1 0.96 2.35 .0177 1 0.96 2.38 .0178 1 0.96 2.54 .0179 1 0.96 2.37 .0180 1 0.96 2.62 .0181 1 0.96 1.63 .0182 1 0.96 1.38 .0183 1 0.96 1.23 .0184 1 0.96 1.09 .0185 2 0.96 1.17 .0186 3 0.96 1.06 .0187 1 0.96 1.15 .0188 1 0.96 1.11 .0189 1 0.96 1.06 .0190 1 0.96 1.04 .0191 1 0.96 1.08 .0192 1 0.96 1.11 .0193 1 0.96 1.33 .0194 2 0.96 1.43 .0195 2 0.96 1.24 .0196 3 0.96 1.35 .0197 1 0.96 1.20 .0198 2 0.96 1.22 .0199 2 0.96 1.29 .0200 1 0.96 1.05 .0201 1 0.96 1.04 .0202 1 0.96 1.11 .0203 1 0.96 1.07 .0204 1 0.96 1.06 .0205 1 0.96 1.07 .0206 1 0.96 1.08 .0207 2 0.96 1.15 .0208 2 0.96 1.11 .0209 1 0.96 1.13 .0210 1 0.96 1.09 .0211 1 0.96 1.15 .0212 1 0.96 1.14 .0213 1 0.96 1.14 .0214 1 0.96 1.11 .0215 1 0.96 1.12 .0216 3 0.96 1.13 .0217 1 0.96 1.32 .0218 2 0.96 1.93 .0219 1 0.96 3.45 .0220 1 0.96 3.46 .0221 2 0.96 3.42 .0222 1 0.96 3.46 .0223 1 0.96 2.78 .0224 2 0.96 2.71 .0225 1 0.96 2.46 .0226 1 0.96 2.38 .0227 2 0.97 1.81 .0228 3 0.97 1.90 .0229 3 0.97 1.99 .0230 1 0.97 1.96 .0231 1 0.97 1.66 .0232 1 0.97 1.38 .0233 1 0.97 1.33 .0234 1 0.97 1.14 .0235 1 0.97 1.14 .0236 1 0.97 1.09 .0237 1 0.97 1.13 .0238 1 0.97 1.24 .0239 1 0.97 1.23 .0240 1 0.97 1.27 .0241 1 0.97 1.82 .0242 1 0.97 3.99 .0243 1 0.97 5.95 .0244 1 0.97 5.55 .0245 1 0.97 4.91 .0246 1 0.97 5.39 .0247 1 0.97 4.41 .0248 1 0.97 4.03 .0249 1 0.97 3.64 .0250 1 0.97 3.03 .0251 1 0.97 2.56 .0252 1 0.97 2.58 .0253 1 0.97 2.41 .0254 1 0.97 2.27 .0255 1 0.97 1.99 .0256 1 0.97 1.61 .0257 1 0.97 1.37 .0258 1 0.97 1.16 .0259 1 0.97 1.17 .0260 1 0.97 1.15 .0261 2 0.97 1.14 .0262 1 0.97 1.12 .0263 1 0.97 1.12 .0264 1 0.97 1.10 .0265 1 0.97 1.01 .0266 1 0.97 1.12 .0267 1 0.97 1.16 .0268 1 0.97 1.06 .0269 1 0.97 1.04 .0270 1 0.97 1.11 .0271 1 0.97 1.11 .0272 1 0.97 1.11 .0273 1 0.97 1.06 .0274 1 0.97 1.16 .0275 1 0.97 1.12 .0276 1 0.97 1.09 .0277 1 0.97 1.10 .0278 1 0.97 1.15 .0279 1 0.97 1.13 .0280 1 0.97 1.15 .0281 1 0.97 1.12 .0282 1 0.97 1.12 .0283 1 0.97 1.15 .0284 1 0.97 1.13 .0285 2 0.97 1.17 .0286 2 0.97 1.27 .0287 1 0.97 1.29 .0288 1 0.97 1.45 .0289 1 0.97 1.45 .0290 1 0.97 2.14 .0291 1 0.97 4.14 .0292 1 0.97 9.50 .0293 1 0.97 10.62 .0294 1 0.97 10.94 .0295 1 0.97 9.45 .0296 1 0.97 8.84 .0297 1 0.97 8.16 .0298 1 0.97 6.85 .0299 1 0.97 6.29 .0300 1 0.97 5.12 .0301 1 0.97 3.75 .0302 1 0.97 3.89 .0303 1 0.97 3.64 .0304 1 0.97 3.79 .0305 2 0.97 3.10 .0306 1 0.97 2.18 .0307 1 0.97 2.22 .0308 1 0.97 3.79 .0309 1 0.97 9.53 .0310 1 0.97 10.85 .0311 1 0.97 10.70 .0312 1 0.97 9.63 .0313 1 0.97 8.87 .0314 1 0.97 8.16 .0315 1 0.97 6.90 .0316 1 0.97 6.59 .0317 1 0.97 5.28 .0318 1 0.97 4.13 .0319 1 0.97 4.03 .0320 1 0.97 3.87 .0321 2 0.97 3.83 .0322 1 0.97 3.04 .0323 1 0.97 2.26 .0324 1 0.97 1.80 .0325 1 0.97 1.52 .0326 1 0.97 1.22 .0327 1 0.97 1.27 .0328 1 0.97 1.09 .0329 1 0.97 1.18 .0330 1 0.97 1.14 .0331 1 0.97 1.18 .0332 2 0.97 1.25 .0333 1 0.97 1.14 .0334 1 0.97 1.11 .0335 1 0.97 1.04 .0336 1 0.97 1.09 .0337 1 0.97 1.04 .0338 1 0.97 1.12 .0339 1 0.97 1.10 .0340 1 0.97 1.04 .0341 1 0.97 1.03 .0342 1 0.97 1.10 .0343 1 0.97 1.08 .0344 1 0.98 1.12 .0345 1 0.98 1.11 .0346 1 0.98 1.11 .0347 1 0.98 1.09 .0348 1 0.98 1.08 .0349 1 0.98 1.14 .0350 1 0.98 1.12 .0351 1 0.98 1.12 .0352 2 0.98 1.14 .0353 1 0.98 1.16 .0354 1 0.98 1.10 .0355 1 0.98 1.11 .0356 1 0.98 1.08 .0357 1 0.98 1.08 .0358 1 0.98 1.03 .0359 1 0.98 1.03 .0360 1 0.98 1.06 .0361 1 0.98 1.04 .0362 2 0.98 1.20 .0363 1 0.98 1.08 .0364 1 0.98 1.22 .0365 3 0.98 1.01 .0366 1 0.98 1.08 .0367 1 0.98 1.07 .0368 1 0.98 1.06 .0369 1 0.98 1.10 .0370 1 0.98 1.05 .0371 1 0.98 1.07 .0372 1 0.98 1.07 .0373 1 0.98 1.09 .0374 1 0.98 1.13 .0375 1 0.98 1.08 .0376 1 0.98 1.10 .0377 1 0.98 1.05 .0378 1 0.98 1.10 .0379 1 0.98 1.11 .0380 1 0.98 1.14 .0381 1 0.98 1.06 .0382 1 0.98 1.12 .0383 1 0.98 1.01 .0384 1 0.98 1.08 .0385 1 0.98 1.05 .0386 1 0.98 1.03 .0387 1 0.98 1.02 .0388 1 0.98 1.07 .0389 1 0.98 1.11 .0390 1 0.98 1.04 .0391 1 0.98 1.02 .0392 1 0.98 1.09 .0393 1 0.98 1.02 .0394 1 0.98 1.08 .0395 1 0.98 1.18 .0396 2 0.98 1.12 .0397 1 0.98 1.07 .0398 3 0.98 1.12 .0399 1 0.98 1.22 .0400 1 0.98 1.02 .0401 1 0.98 1.04 .0402 1 0.98 1.14 .0403 1 0.98 1.07 .0404 1 0.98 1.05 .0405 1 0.98 1.12 .0406 1 0.98 1.16 .0407 1 0.98 1.03 .0408 1 0.98 1.09 .0409 1 0.98 1.08 .0410 1 0.98 1.10 .0411 1 0.98 1.17 .0412 1 0.98 1.06 .0413 1 0.98 1.14 .0414 1 0.98 1.01 .0415 1 0.98 1.13 .0416 1 0.98 1.09 .0417 1 0.98 1.07 .0418 1 0.98 1.04 .0419 1 0.98 1.10 .0420 1 0.98 1.07 .0421 1 0.98 1.02 .0422 1 0.98 1.05 .0423 2 0.98 1.09 .0424 1 0.98 1.17 .0425 1 0.98 1.09 .0426 1 0.98 1.11 .0427 1 0.98 1.10 .0428 1 0.98 1.13 .0429 1 0.98 1.10 .0430 1 0.98 1.05 .0431 1 0.98 1.04 .0432 2 0.98 1.10 .0433 2 0.98 1.08 .0434 3 0.98 1.06 .0435 2 0.98 1.10 .0436 1 0.98 1.03 .0437 1 0.98 1.13 .0438 1 0.98 1.07 .0439 1 0.98 1.09 .0440 1 0.98 1.08 .0441 1 0.98 1.09 .0442 1 0.98 1.07 .0443 1 0.98 1.10 .0444 1 0.98 1.16 .0445 1 0.98 1.03 .0446 1 0.98 1.09 .0447 1 0.98 1.05 .0448 2 0.98 1.17 .0449 2 0.98 1.14 .0450 2 0.98 1.04 .0451 2 0.98 1.20 .0452 1 0.98 1.11 .0453 1 0.98 1.08 .0454 1 0.98 1.07 .0455 1 0.98 1.04 .0456 1 0.98 1.10 .0457 1 0.98 1.19 .0458 1 0.98 1.09 .0459 1 0.98 1.10 .0460 3 0.98 1.08 .0461 2 0.98 1.29 .0462 1 0.98 1.09 .0463 1 0.98 1.12 .0464 1 0.98 1.10 .0465 1 0.98 1.08 .0466 1 0.98 1.07 .0467 1 0.98 1.22 .0468 3 0.98 1.12 .0469 1 0.98 1.24 .0470 1 0.98 1.10 .0471 1 0.98 1.16 .0472 1 0.98 1.11 .0473 1 0.98 1.16 .0474 1 0.98 1.15 .0475 1 0.98 1.10 .0476 1 0.98 1.07 .0477 2 0.98 1.14 .0478 1 0.98 1.12 .0479 1 0.98 1.18 .0480 2 0.98 1.19 .0481 1 0.98 1.08 .0482 1 0.98 1.07 .0483 1 0.98 1.07 .0484 1 0.98 1.00 .0485 1 0.98 1.12 .0486 1 0.98 1.10 .0487 1 0.98 1.09 .0488 2 0.98 1.16 .0489 2 0.98 1.24 .0490 3 0.98 1.17 .0491 3 0.98 1.06 .0492 1 0.98 1.12 .0493 1 0.98 1.19 .0494 1 0.98 1.17 .0495 1 0.98 1.23 .0496 1 0.98 1.16 .0497 1 0.98 1.16 .0498 1 0.98 1.09 .0499 1 0.98 1.14 .0500 2 0.98 1.23 .0501 2 0.98 1.09 .0502 2 0.98 1.49 .0503 2 0.98 1.17 .0504 1 0.98 1.14 .0505 1 0.98 1.12 .0506 1 0.98 1.27 .0507 1 0.98 1.13 .0508 1 0.98 1.26 .0509 1 0.98 1.22 .0510 1 0.98 1.21 .0511 1 0.98 1.17 .0512 1 0.98 1.17 .0513 1 0.98 1.18 .0514 1 0.98 1.04 .0515 1 0.98 1.14 .0516 1 0.98 1.19 .0517 1 0.98 1.08 .0518 1 0.98 1.13 .0519 1 0.98 1.16 .0520 1 0.98 1.14 .0521 1 0.98 1.18 .0522 1 0.98 1.11 .0523 1 0.98 1.19 .0524 2 0.98 1.20 .0525 2 0.98 1.25 .0526 2 0.98 1.19 .0527 1 0.98 1.21 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1.21 .1858 2 0.98 1.11 .1859 2 0.98 1.10 .1860 2 0.98 1.21 .1861 2 0.98 1.11 .1862 1 0.98 1.11 .1863 1 0.98 1.09 .1864 1 0.98 1.10 .1865 1 0.98 1.38 .1866 1 0.98 1.07 .1867 1 0.98 1.04 .1868 1 0.98 1.07 .1869 1 0.98 1.05 .1870 1 0.98 1.10 .1871 1 0.98 1.05 .1872 1 0.98 1.09 .1873 1 0.98 1.13 .1874 1 0.98 1.08 .1875 1 0.98 1.10 .1876 1 0.98 1.11 .1877 1 0.98 1.10 .1878 1 0.98 1.08 .1879 1 0.98 1.04 .1880 1 0.98 1.08 .1881 1 0.98 1.04 .1882 1 0.98 1.02 .1883 1 0.98 1.24 .1884 2 0.98 1.07 .1885 1 0.98 1.03 .1886 1 0.98 1.03 .1887 1 0.98 0.96 .1888 1 0.98 1.04 .1889 1 0.98 1.07 .1890 1 0.98 1.07 .1891 1 0.98 0.99 .1892 1 0.98 1.04 .1893 1 0.98 1.07 .1894 2 0.98 1.07 .1895 1 0.98 1.24 .1896 3 0.98 1.05 .1897 1 0.98 1.07 .1898 2 0.98 1.24 .1899 2 0.98 1.18 .1900 1 0.98 0.98 .1901 1 0.98 1.00 .1902 1 0.98 1.01 .1903 1 0.98 0.98 .1904 1 0.98 1.04 .1905 1 0.98 0.98 .1906 1 0.98 1.08 .1907 1 0.98 1.09 .1908 1 0.98 0.98 .1909 1 0.98 1.04 .1910 1 0.98 1.04 .1911 1 0.98 1.07 .1912 1 0.98 1.08 .1913 1 0.98 0.96 .1914 2 0.98 1.10 .1915 3 0.98 1.00 .1916 1 0.98 1.02 .1917 1 0.98 1.14 .1918 1 0.98 1.10 .1919 1 0.98 0.97 .1920 1 0.98 1.05 .1921 1 0.98 1.02 .1922 1 0.98 1.02 .1923 1 0.98 1.02 .1924 1 0.98 1.00 .1925 1 0.98 0.95 .1926 1 0.98 1.00 .1927 1 0.98 1.03 .1928 1 0.98 1.10 .1929 1 0.98 1.00 .1930 1 0.98 0.95 .1931 1 0.98 1.02 .1932 2 0.98 1.04 .1933 3 0.98 1.06 .1934 3 0.98 1.13 .1935 1 0.98 1.01 .1936 1 0.98 1.02 .1937 1 0.98 1.00 .1938 1 0.98 1.03 .1939 1 0.98 1.01 .1940 2 0.98 1.08 .1941 2 0.98 1.38 .1942 2 0.98 1.08 .1943 1 0.98 1.08 .1944 1 0.98 1.11 .1945 1 0.98 1.03 .1946 1 0.98 0.99 .1947 1 0.98 1.01 .1948 1 0.98 0.97 .1949 2 0.98 1.03 .1950 2 0.98 1.17 .1951 1 0.98 1.13 .1952 1 0.98 1.03 .1953 1 0.98 1.00 .1954 1 0.98 0.98 .1955 1 0.98 0.99 .1956 1 0.98 1.02 .1957 1 0.98 1.03 .1958 2 0.98 1.10 .1959 1 0.98 1.03 .1960 1 0.98 1.02 .1961 1 0.98 1.09 .1962 2 0.98 1.02 .1963 2 0.98 1.07 .1964 3 0.98 1.08 .1965 2 0.98 1.06 .1966 1 0.98 0.97 .1967 1 0.98 1.09 .1968 1 0.98 1.01 .1969 1 0.98 1.02 .1970 2 0.98 1.06 .1971 1 0.98 1.12 .1972 1 0.98 1.07 .1973 3 0.98 1.04 .1974 1 0.98 1.10 .1975 1 0.98 0.99 .1976 1 0.98 0.98 .1977 1 0.98 1.04 .1978 1 0.98 1.05 .1979 2 0.98 1.18 .1980 3 0.98 1.00 .1981 1 0.98 1.03 .1982 2 0.98 1.07 .1983 3 0.98 1.05 .1984 1 0.98 1.06 .1985 1 0.98 1.02 .1986 1 0.98 1.05 .1987 1 0.98 1.01 .1988 1 0.98 0.97 .1989 1 0.98 0.97 .1990 1 0.98 1.03 .1991 1 0.98 1.03 .1992 1 0.98 0.99 .1993 1 0.98 0.98 .1994 2 0.98 1.01 .1995 1 0.98 1.26 .1996 3 0.98 0.99 .1997 1 0.98 1.15 .1998 1 0.98 0.98 .1999 1 0.98 1.01 .2000 1 0.98 1.06 .2001 1 0.98 1.06 .2002 1 0.98 1.02 .2003 1 0.98 0.96 .2004 1 0.98 0.97 .2005 2 0.98 1.11 .2006 1 0.98 1.08 .2007 1 0.98 0.97 .2008 1 0.98 1.11 .2009 4 0.98 0.98 .2010 1 0.98 1.07 .2011 1 0.98 1.06 .2012 1 0.98 1.00 .2013 1 0.98 0.98 .2014 2 0.98 1.09 .2015 1 0.98 0.97 .2016 1 0.98 1.01 .2017 1 0.98 0.97 .2018 1 0.98 1.00 .2019 1 0.98 1.00 .2020 1 0.98 1.08 .2021 1 0.98 0.95 .2022 1 0.98 1.01 .2023 1 0.98 0.97 .2024 1 0.98 1.00 .2025 2 0.98 1.05 .2026 1 0.98 1.06 .2027 1 0.98 1.02 .2028 1 0.98 1.03 .2029 1 0.98 1.02 .2030 1 0.98 1.01 .2031 1 0.98 1.00 .2032 2 0.98 1.00 .2033 1 0.98 0.99 .2034 3 0.98 1.05 .2035 4 0.98 1.27 .2036 1 0.97 1.01 .2037 1 0.97 1.00 .2038 1 0.97 0.98 .2039 1 0.97 1.01 .2040 1 0.97 1.01 .2041 1 0.97 1.03 .2042 1 0.97 1.02 .2043 1 0.97 1.03 .2044 1 0.97 1.04 .2045 1 0.97 1.01 .2046 1 0.97 0.98 .2047 1 0.97 0.98 EXTRACT_IMAGE: b1: masked 461 pixels SPCALIB: b1: Searching for wavelength solution % Compiled module: FITARCIMAGE_GLOBAL. FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % Compiled module: READCOL. % Compiled module: REMCHAR. % Compiled module: STRNUMBER. % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read % Compiled module: ARCFIT_GUESS. ARCFIT_GUESS: b1: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b1: Searching lags from -736 to 734 spaced 2 pixels % Compiled module: C_CORRELATE. Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Searching about coefficients = 3.68870 -0.10512 -0.00419 0.00016 ARCFIT_ITER: b1: Searching lags from -146 to 146 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Initial wavelength fit = 3.68881 -0.10537 -0.00431 0.00020 ARCFIT_GUESS: b1: Initial correlation = 0.750233 FITARCIMAGE_GLOBAL: b1: Best correlation = 0.750233 FITARCIMAGE_GLOBAL: b1: ASET = 3.68881 -0.10537 -0.00431 0.00020 SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read % Compiled module: TRACESET2PIX. TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Iterating flux-weighted centers % Compiled module: TRACE_MPFITPEAK. % Compiled module: MPFITEXPR. % Compiled module: MPFIT. % Compiled module: GAUSS1. . 0 320 0.089 . 1 320 0.057 . 2 320 0.047 . 3 320 0.060 . 4 320 0.053 . 5 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 6 0 5.6011889 0.20142620 . 6 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 7 0 1.1619552 0.20989800 . 7 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 8 0 2.9310041 0.23693501 . 8 320 0.043 . 9 320 0.060 . 10 320 0.051 . 11 320 0.049 . 12 320 0.056 . 13 320 0.057 . 14 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 15 0 7.4973115 0.27255001 . 15 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 16 0 4.7037342 0.20619984 . 16 320 0.962 . 17 320 0.046 . 18 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 19 0 -2.3040518 0.23923911 . 19 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 20 0 18.352861 0.21742600 . 20 320 0.053 . 21 320 0.050 . 22 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 23 0 14.852208 0.28860387 . 23 320 0.052 . 24 320 0.049 . 25 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 26 0 8.6561083 0.21663104 . 26 320 0.048 . 27 320 0.048 . 28 320 0.053 . 29 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 30 0 0.51688068 0.22357059 . 30 320 0.044 . 31 320 0.050 . 32 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 33 0 11.027660 0.21395247 . 33 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 34 0 5.0627202 0.23128864 . 34 320 0.048 . 35 320 0.045 . 36 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 37 0 11.690259 0.27401130 . 37 320 0.117 . 38 320 0.044 . 39 320 0.047 . 40 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 41 0 5.0044120 0.20217860 . 41 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 42 0 2.0658169 0.21732724 . 42 320 0.048 . 43 320 0.053 . 44 320 0.047 . 45 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 46 0 4.1631709 0.22660204 . 46 320 0.054 . 47 320 0.049 . 48 320 0.071 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 49 0 4.5176068 0.21286001 . 49 320 0.058 . 50 320 0.054 . 51 320 0.052 . 52 320 0.066 . 53 320 0.053 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 54 0 13.612339 4.1998992 0.31137238 0.36190750 9.3692787 1 . 54 320 0.066 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 55 0 12.458176 0.20926322 . 55 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 56 0 9.6192543 0.22147318 . 56 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 57 0 9.6736656 0.22527108 . 57 320 0.047 . 58 320 0.054 . 59 320 0.059 . 60 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 61 0 5.1505260 0.25025006 . 61 320 0.052 . 62 320 0.048 . 63 320 0.056 . 64 320 0.048 . 65 320 0.053 . 66 320 0.048 . 67 320 0.055 . 68 320 0.058 . 69 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 70 0 2.7052578 0.20340460 . 70 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 71 0 11.279913 0.21970719 . 71 320 0.048 . 72 320 0.045 . 73 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 74 0 6.8001856 0.22651475 . 74 320 0.063 . 75 320 0.063 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 76 0 13.805976 0.22014762 . 76 320 0.052 . 77 320 0.055 . 78 320 0.055 . 79 320 0.059 . 80 320 0.054 . 81 320 0.049 . 82 320 0.068 . 83 320 0.062 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 84 0 6.0575689 0.22159951 . 84 320 0.067 . 85 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 86 0 7.3419856 0.24755653 . 86 320 0.055 . 87 320 0.059 . 88 320 0.051 . 89 320 0.055 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -11.498434 3.3341630 1.3839261 -0.0000000 6.8402021 2 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 90 1 -20.770358 0.23911480 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -12.580868 3.6361036 0.89949854 1.0396670 8.2242076 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 90 3 -7.8759903 0.26338956 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -1.2052266 2.3670758 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 5 -6.6960013 2.4122477 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 6 -5.1388851 2.7686441 0.67093284 -0.0000000 8.3963673 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 7 -14.717363 3.2778566 0.87474577 -0.0000000 6.6184947 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -52.171776 2.6063143 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 10 -45.481449 2.6300832 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -25.488856 2.5219014 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 12 -16.663010 2.9181459 0.71348017 -0.0000000 9.4761456 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 13 -24.656587 2.4976179 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 14 -9.6231889 2.7678869 0.49933022 -0.0000000 8.4090887 1 . 90 320 0.589 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 91 0 5.8481313 4.3051430 1.0964368 1.3786613 7.6734435 1 . 91 320 0.064 . 92 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 93 0 7.4487617 0.22840182 . 93 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 94 0 12.645507 0.23063497 . 94 320 0.059 . 95 320 0.054 . 96 320 0.051 . 97 320 0.054 . 98 320 0.052 . 99 320 0.054 . 100 320 0.055 . 101 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 102 0 7.7585076 0.20517007 . 102 320 0.051 . 103 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 104 0 5.0489671 0.21234339 . 104 320 0.061 . 105 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 106 0 15.470160 0.28289154 . 106 320 0.050 . 107 320 0.047 . 108 320 0.048 . 109 320 0.057 . 110 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 111 0 8.2037615 0.24765483 . 111 320 0.049 . 112 320 0.051 . 113 320 0.052 . 114 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 115 0 10.148121 0.23049763 . 115 320 0.051 . 116 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 117 0 8.2501373 0.23223730 . 117 320 0.051 . 118 320 0.052 . 119 320 0.054 . 120 320 0.053 . 121 320 0.052 . 122 320 0.048 . 123 320 0.051 . 124 320 0.051 . 125 320 0.053 . 126 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 127 0 10.276660 0.21070300 . 127 320 0.055 . 128 320 0.051 . 129 320 0.061 . 130 320 0.054 . 131 320 0.053 . 132 320 0.054 . 133 320 0.061 . 134 320 0.052 . 135 320 0.053 . 136 320 0.058 . 137 320 0.052 . 138 320 0.058 . 139 320 0.076 . 140 320 0.067 . 141 320 0.068 . 142 320 0.081 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 143 0 14.543972 0.20024674 . 143 320 0.081 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 144 0 5.6240635 3.9568443 0.0000000 0.0000000 0.0000000 2 . 144 320 0.066 . 145 320 0.063 . 146 320 0.058 . 147 320 0.057 . 148 320 0.052 . 149 320 0.046 . 150 320 0.061 . 151 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 152 0 5.8265529 0.20021028 . 152 320 0.048 . 153 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 154 0 11.711901 0.23406574 . 154 320 0.055 . 155 320 0.048 . 156 320 0.054 . 157 320 0.049 . 158 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 159 0 5.6605668 0.23358238 . 159 320 0.060 . 160 320 0.055 . 161 320 0.052 . 162 320 0.046 . 163 320 0.052 . 164 320 0.051 . 165 320 0.049 . 166 320 0.048 . 167 320 0.049 . 168 320 0.053 . 169 320 0.056 . 170 320 0.045 . 171 320 0.052 . 172 320 0.050 . 173 320 0.048 . 174 320 0.058 . 175 320 0.081 . 176 320 0.056 . 177 320 0.058 . 178 320 0.053 . 179 320 0.058 . 180 320 0.059 . 181 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 182 0 7.3603137 0.23895150 . 182 320 0.054 . 183 320 0.054 . 184 320 0.060 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 185 0 6.0771928 0.20941321 . 185 320 0.056 . 186 320 0.058 . 187 320 0.055 . 188 320 0.053 . 189 320 0.052 . 190 320 0.051 . 191 320 0.058 . 192 320 0.061 . 193 320 0.051 . 194 320 0.055 . 195 320 0.056 . 196 320 0.057 . 197 320 0.073 . 198 320 0.078 . 199 320 0.082 . 200 320 0.072 . 201 320 0.074 . 202 320 0.063 . 203 320 0.058 . 204 320 0.052 . 205 320 0.065 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 206 0 6.1964185 0.24117576 . 206 320 0.056 . 207 320 0.057 . 208 320 0.052 . 209 320 0.046 . 210 320 0.052 . 211 320 0.052 . 212 320 0.051 . 213 320 0.052 . 214 320 0.046 . 215 320 0.052 . 216 320 0.053 . 217 320 0.048 . 218 320 0.054 . 219 320 0.050 . 220 320 0.053 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 221 0 15.029611 4.5825380 0.31581454 0.40413766 8.1670313 1 . 221 320 0.058 . 222 320 0.058 . 223 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 224 0 11.618515 0.24634744 . 224 320 0.053 . 225 320 0.053 . 226 320 0.053 . 227 320 0.050 . 228 320 0.048 . 229 320 0.049 . 230 320 0.057 . 231 320 0.048 . 232 320 0.057 . 233 320 0.046 . 234 320 0.047 . 235 320 0.046 . 236 320 0.047 . 237 320 0.046 . 238 320 0.052 . 239 320 0.047 . 240 320 0.050 . 241 320 0.047 . 242 320 0.049 . 243 320 0.056 . 244 320 0.046 . 245 320 0.049 . 246 320 0.045 . 247 320 0.043 . 248 320 0.046 . 249 320 0.056 . 250 320 0.046 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -8.9100824 2.1490286 0.75149023 -0.0000000 7.1721000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -1.9561925 2.9990869 0.73438175 -0.0000000 9.1978175 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -7.8813962 2.1894966 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 3 8.7080812 3.8982627 0.35766324 -0.0000000 13.034661 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -1.5972275 2.7034566 1.3812198 -0.0000000 5.8226548 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 5 -3.4461766 2.2792312 0.70079450 -0.0000000 6.5939875 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 6 1.2311471 2.2842355 1.4780544 -0.0000000 6.9144494 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 7 -9.9134456 2.8531911 0.86084304 -0.0000000 5.8682888 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 8 -60.899347 0.21561454 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 9 -52.179745 0.23265269 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 10 -40.054752 2.5429598 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 11 -33.068636 3.3000183 0.32303012 -0.0000000 6.9644957 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 12 -26.115687 2.9815865 0.33705153 -0.0000000 6.3876244 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 13 -30.665207 2.8903375 0.30012814 -0.0000000 5.9955483 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 14 -7.9690398 2.4279990 0.74657194 -0.0000000 7.5323434 1 . 251 320 0.110 . 252 320 0.050 . 253 320 0.052 . 254 320 0.051 . 255 320 0.049 . 256 320 0.045 . 257 320 0.057 . 258 320 0.045 . 259 320 0.046 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 260 0 2.4767038 3.7020908 0.31700057 0.39061430 6.7719648 1 . 260 320 0.116 . 261 320 0.068 . 262 320 0.064 . 263 320 0.084 . 264 320 0.065 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 265 0 0.36121072 0.22671348 . 265 320 0.051 . 266 320 0.048 . 267 320 0.056 . 268 320 0.052 . 269 320 0.049 . 270 320 0.059 . 271 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 272 0 7.9678369 0.20865457 . 272 320 0.058 . 273 320 0.050 . 274 320 0.051 . 275 320 0.046 . 276 320 0.046 . 277 320 0.045 . 278 320 0.051 . 279 320 0.038 . 280 320 0.064 . 281 320 0.063 . 282 320 0.057 . 283 320 0.060 . 284 320 0.071 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 285 0 8.8758432 0.24256407 . 285 320 0.061 . 286 320 0.057 . 287 320 0.055 . 288 320 0.058 . 289 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 290 0 1.9099408 0.21105372 . 290 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 291 0 11.155615 0.22255900 . 291 320 0.066 . 292 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 293 0 5.8418875 0.21037834 . 293 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 0 -3.3392688 0.26157555 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -15.730691 2.4114574 0.50988247 -0.0000000 7.7045320 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 3 25.417709 4.7017658 0.40809214 -0.0000000 9.4881790 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 4 -4.4141537 3.0003509 1.4302992 1.7193725 5.9915687 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 5 -1.0881979 2.0033335 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 6 1.6367347 2.3441026 0.94764222 -0.0000000 7.0442570 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 7 -1.3198700 2.0770726 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 9 -23.800364 0.23297403 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 10 -48.760568 0.25305238 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 11 -11.313815 2.7509297 0.38366085 -0.0000000 8.5565867 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 12 -19.785718 3.0006614 0.42588142 -0.0000000 6.3292860 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 13 -20.777596 3.0051987 0.34806639 -0.0000000 6.0618303 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 14 -7.2954966 2.4392347 0.30927192 -0.0000000 7.8361374 1 . 294 320 0.116 . 295 320 0.050 . 296 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 297 0 10.713810 0.20225741 . 297 320 0.053 . 298 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 299 0 1.7616940 0.22651647 . 299 320 0.063 . 300 320 0.047 . 301 320 0.061 . 302 320 0.052 . 303 320 0.049 . 304 320 0.044 . 305 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 306 0 4.5599473 0.21056174 . 306 320 0.047 . 307 320 0.052 . 308 320 0.048 . 309 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 310 0 4.4053360 0.20860334 . 310 320 0.050 . 311 320 0.059 . 312 320 0.077 . 313 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 314 0 9.5004659 0.21329119 . 314 320 0.050 . 315 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 316 0 8.1884576 0.21088060 . 316 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 317 0 -0.45931771 0.20601424 . 317 320 0.059 . 318 320 0.054 . 319 320 0.060 FITARCIMAGE_GLOBAL: b1: Line 0, at 3983.8390 Ang: ERR= 0.154789 ERR_RMS= 0.0385217 pix, 8 masked. FITARCIMAGE_GLOBAL: b1: Line 1, at 4046.5720 Ang: ERR= 0.00468188 ERR_RMS= 0.0158806 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 2, at 4077.8380 Ang: ERR= 0.0160311 ERR_RMS= 0.00173804 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 3, at 4358.3370 Ang: ERR= 0.00326809 ERR_RMS= 0.0160610 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 4, at 4678.1490 Ang: ERR= 0.0320721 ERR_RMS= 0.00413164 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 5, at 4799.9120 Ang: ERR= 0.0163583 ERR_RMS= 0.00182831 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 6, at 4916.0700 Ang: ERR= 0.0541801 ERR_RMS= 0.00784625 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 7, at 5085.8220 Ang: ERR= 0.0122347 ERR_RMS= 0.00128851 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 8, at 5460.7530 Ang: ERR= 0.00253675 ERR_RMS= 0.0185359 pix, 0 masked. FITARCIMAGE_GLOBAL: b1: Line 9, at 5769.5980 Ang: ERR= 0.00512815 ERR_RMS= 0.0180607 pix, 1 masked. FITARCIMAGE_GLOBAL: b1: Line 10, at 5790.6630 Ang: ERR= 0.00514629 ERR_RMS= 0.0139293 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 11, at 5852.4880 Ang: ERR= 0.00707496 ERR_RMS= 0.000590650 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 12, at 5881.8950 Ang: ERR= 0.00918678 ERR_RMS= 0.000830965 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 13, at 5944.8340 Ang: ERR= 0.00790126 ERR_RMS= 0.000656177 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 14, at 6029.9970 Ang: ERR= 0.0157653 ERR_RMS= 0.00152663 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b1: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 1 2 15 1 3 15 0 4 15 0 5 15 1 6 15 1 7 15 1 8 15 1 9 15 1 10 15 1 11 15 0 12 15 0 13 15 1 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 1 21 15 1 22 15 1 23 15 0 24 15 0 25 15 2 26 15 0 27 15 0 28 15 0 29 15 0 30 15 1 31 15 0 32 15 0 33 15 0 34 15 0 35 15 1 36 15 1 37 15 2 38 15 0 39 15 1 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 1 51 15 0 52 15 1 53 15 0 54 15 1 55 15 1 56 15 1 57 15 0 58 15 1 59 15 1 60 15 1 61 15 0 62 15 0 63 15 1 64 15 0 65 15 0 66 15 1 67 15 1 68 15 0 69 15 0 70 15 1 71 15 0 72 15 0 73 15 0 74 15 1 75 15 1 76 15 1 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 1 88 15 0 89 15 0 90 15 12 91 15 1 92 15 1 93 15 0 94 15 1 95 15 0 96 15 1 97 15 1 98 15 0 99 15 0 100 15 0 101 15 1 102 15 0 103 15 0 104 15 1 105 15 0 106 15 1 107 15 0 108 15 1 109 15 1 110 15 0 111 15 1 112 15 1 113 15 0 114 15 1 115 15 1 116 15 0 117 15 1 118 15 1 119 15 0 120 15 1 121 15 0 122 15 1 123 15 0 124 15 1 125 15 0 126 15 0 127 15 1 128 15 0 129 15 1 130 15 0 131 15 1 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 1 138 15 0 139 15 1 140 15 2 141 15 0 142 15 1 143 15 0 144 15 1 145 15 0 146 15 0 147 15 0 148 15 1 149 15 0 150 15 0 151 15 1 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 1 158 15 0 159 15 1 160 15 0 161 15 0 162 15 0 163 15 1 164 15 0 165 15 0 166 15 1 167 15 0 168 15 1 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 1 178 15 0 179 15 0 180 15 1 181 15 0 182 15 0 183 15 1 184 15 0 185 15 1 186 15 0 187 15 0 188 15 0 189 15 1 190 15 0 191 15 1 192 15 0 193 15 2 194 15 0 195 15 1 196 15 1 197 15 1 198 15 1 199 15 1 200 15 0 201 15 0 202 15 1 203 15 1 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 1 210 15 0 211 15 1 212 15 0 213 15 0 214 15 0 215 15 0 216 15 1 217 15 0 218 15 1 219 15 0 220 15 1 221 15 1 222 15 0 223 15 0 224 15 0 225 15 0 226 15 1 227 15 0 228 15 0 229 15 0 230 15 0 231 15 1 232 15 0 233 15 0 234 15 0 235 15 1 236 15 1 237 15 0 238 15 1 239 15 0 240 15 0 241 15 1 242 15 1 243 15 1 244 15 0 245 15 0 246 15 1 247 15 0 248 15 0 249 15 1 250 15 0 251 15 13 252 15 1 253 15 0 254 15 0 255 15 1 256 15 1 257 15 0 258 15 1 259 15 0 260 15 1 261 15 0 262 15 1 263 15 0 264 15 0 265 15 1 266 15 0 267 15 0 268 15 1 269 15 0 270 15 1 271 15 1 272 15 1 273 15 0 274 15 0 275 15 0 276 15 0 277 15 1 278 15 1 279 15 4 280 15 0 281 15 0 282 15 1 283 15 0 284 15 0 285 15 0 286 15 1 287 15 0 288 15 1 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 10 295 15 1 296 15 0 297 15 0 298 15 0 299 15 0 300 15 1 301 15 0 302 15 1 303 15 0 304 15 1 305 15 0 306 15 1 307 15 2 308 15 1 309 15 0 310 15 0 311 15 1 312 15 0 313 15 0 314 15 1 315 15 0 316 15 1 317 15 1 318 15 1 319 15 0 XY2TRACESET: b1: Total rejected = 170 Pass 1 complete FITARCIMAGE_GLOBAL: b1: Number of arclines after bundle test = 15 % Compiled module: FITARCLINES. FITARCLINES: b1: ncoeffs (x,y): 4 5 FITARCLINES: b1: errored out 1 fibers: 251 % Compiled module: COMPUTECHI2. FITARCLINES: b1: fit rchi2: 0.17249449 FITARCLINES: b1: offset stddev: 320 1.9593872e-13 FITARCLINES: b1: scale stddev: 320 3.2469790e-13 FITARCLINES: b1: poly x,y,stddev: 0 0 7.0783853e-07 FITARCLINES: b1: poly x,y,stddev: 1 0 2.0577362e-06 FITARCLINES: b1: poly x,y,stddev: 2 0 1.5992063e-06 FITARCLINES: b1: poly x,y,stddev: 3 0 3.2074074e-06 FITARCLINES: b1: poly x,y,stddev: 0 1 4.8276719e-07 FITARCLINES: b1: poly x,y,stddev: 1 1 1.4055574e-06 FITARCLINES: b1: poly x,y,stddev: 2 1 1.0929804e-06 FITARCLINES: b1: poly x,y,stddev: 3 1 2.1922830e-06 FITARCLINES: b1: poly x,y,stddev: 0 2 4.8201539e-07 FITARCLINES: b1: poly x,y,stddev: 1 2 1.4177193e-06 FITARCLINES: b1: poly x,y,stddev: 2 2 1.1155903e-06 FITARCLINES: b1: poly x,y,stddev: 3 2 2.2346171e-06 % Compiled module: POLY_FIT. % Compiled module: POLY. FITARCLINES: b1: correcting per-fiber coefficients for fibers: 90 239 251 294 % Compiled module: DJS_PLOT. % Compiled module: TEXTOIDL. % Compiled module: DJS_OPLOT. % Compiled module: DJS_ICOLOR. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: BADARC lines masked: 90 239 251 294 FITARCIMAGE_GLOBAL: b1: IVAR=0 centroids masked: 45 Final arcfit complete FITARCIMAGE_GLOBAL: b1: Time 33. seconds elapsed % Compiled module: FITDISPERSION. ROW NITER SIG(med) CHI^2 .0000 4 1.00 2.13 .0001 4 1.00 2.31 .0002 5 1.00 2.06 .0003 4 1.00 2.48 .0004 5 1.00 2.51 .0005 5 1.00 2.28 .0006 5 1.00 2.31 .0007 5 1.00 2.20 .0008 4 1.00 2.24 .0009 5 1.00 1.94 .0010 5 1.00 2.15 .0011 5 1.00 2.31 .0012 9 1.00 1.60 .0013 3 1.00 2.89 .0014 4 1.00 1.96 .0015 6 1.00 2.02 .0016 4 1.00 2.35 .0017 6 1.00 1.95 .0018 5 1.00 1.89 .0019 5 1.00 2.74 .0020 5 1.00 2.55 .0021 5 1.00 2.02 .0022 6 1.00 1.75 .0023 6 1.00 1.73 .0024 8 1.00 1.52 .0025 5 1.00 1.52 .0026 7 1.00 1.44 .0027 5 1.00 2.02 .0028 4 1.00 2.09 .0029 5 1.00 2.09 .0030 4 1.00 1.99 .0031 4 1.00 2.44 .0032 6 1.00 2.02 .0033 4 1.00 1.44 .0034 6 1.00 1.64 .0035 6 1.00 1.06 .0036 8 1.00 1.11 .0037 5 1.00 1.62 .0038 6 1.00 1.27 .0039 6 1.00 1.33 .0040 4 1.00 1.82 .0041 5 1.00 1.84 .0042 5 1.00 2.08 .0043 6 1.00 1.90 .0044 4 1.00 2.06 .0045 6 1.00 2.06 .0046 4 1.00 1.76 .0047 5 1.00 2.14 .0048 4 1.00 2.20 .0049 8 1.00 1.75 .0050 6 1.00 1.92 .0051 4 1.00 1.69 .0052 7 1.00 1.50 .0053 7 1.00 1.36 .0054 8 1.00 1.36 .0055 8 1.00 1.63 .0056 7 1.00 1.03 .0057 6 1.00 1.86 .0058 6 1.00 1.55 .0059 6 1.00 1.86 .0060 4 1.00 2.14 .0061 5 1.00 2.03 .0062 5 1.00 1.78 .0063 4 1.00 2.17 .0064 4 1.00 2.18 .0065 3 1.00 2.00 .0066 3 1.00 2.36 .0067 5 1.00 2.40 .0068 8 1.00 1.37 .0069 6 1.00 1.52 .0070 5 1.00 1.62 .0071 5 1.00 1.87 .0072 6 1.00 1.53 .0073 4 1.00 2.14 .0074 5 1.00 1.78 .0075 6 1.00 1.85 .0076 4 1.00 2.39 .0077 8 1.00 1.61 .0078 5 1.00 2.15 .0079 6 1.00 1.93 .0080 3 1.00 2.07 .0081 4 1.00 1.60 .0082 4 1.00 1.54 .0083 4 1.00 1.82 .0084 4 1.00 1.50 .0085 4 1.00 1.64 .0086 4 1.00 1.78 .0087 4 1.00 1.73 .0088 4 1.00 1.34 .0089 4 1.00 1.33 .0090 1 1.00 0.68 .0091 3 1.00 0.83 .0092 5 1.00 1.43 .0093 4 1.00 1.30 .0094 4 1.00 1.60 .0095 5 1.00 1.55 .0096 3 1.00 2.02 .0097 3 1.00 1.92 .0098 4 1.00 1.90 .0099 5 1.00 2.03 .0100 4 1.00 1.73 .0101 3 1.00 1.92 .0102 5 1.00 1.72 .0103 6 1.00 1.56 .0104 6 1.00 1.73 .0105 5 1.00 1.92 .0106 5 1.00 2.31 .0107 4 1.00 1.88 .0108 6 1.00 1.77 .0109 5 1.00 2.28 .0110 4 1.00 2.07 .0111 8 1.00 1.75 .0112 5 1.00 2.25 .0113 6 1.00 1.80 .0114 5 1.00 2.09 .0115 5 1.00 1.87 .0116 4 1.00 2.06 .0117 4 1.00 2.04 .0118 6 1.00 2.07 .0119 4 1.00 2.09 .0120 5 1.00 2.04 .0121 5 1.00 1.80 .0122 4 1.00 2.02 .0123 7 1.00 2.28 .0124 4 1.00 2.28 .0125 3 1.00 2.01 .0126 4 1.00 2.31 .0127 5 1.00 2.27 .0128 7 1.00 1.78 .0129 7 1.00 2.12 .0130 4 1.00 2.53 .0131 4 1.00 2.37 .0132 4 1.00 2.55 .0133 5 1.00 1.95 .0134 5 1.00 2.00 .0135 5 1.00 1.73 .0136 6 1.00 2.20 .0137 3 1.00 2.25 .0138 4 1.00 1.98 .0139 5 1.00 2.03 .0140 6 1.00 2.16 .0141 4 1.00 2.10 .0142 5 1.00 2.34 .0143 6 1.00 1.82 .0144 5 1.00 1.92 .0145 6 1.00 1.83 .0146 4 1.00 2.38 .0147 5 1.00 2.56 .0148 6 1.00 1.98 .0149 5 1.00 1.79 .0150 4 1.00 2.50 .0151 4 1.00 2.12 .0152 6 1.00 1.91 .0153 5 1.00 2.17 .0154 5 1.00 2.03 .0155 4 1.00 1.93 .0156 5 1.00 2.07 .0157 6 1.00 1.97 .0158 4 1.00 2.11 .0159 4 1.00 1.70 .0160 6 1.00 1.84 .0161 6 1.00 2.05 .0162 6 1.00 1.84 .0163 6 1.00 2.28 .0164 6 1.00 1.78 .0165 7 1.00 1.67 .0166 4 1.00 1.88 .0167 6 1.00 1.74 .0168 5 1.00 1.81 .0169 6 1.00 2.07 .0170 4 1.00 2.06 .0171 6 1.00 2.03 .0172 6 1.00 2.13 .0173 5 1.00 1.98 .0174 4 1.00 1.85 .0175 7 1.00 1.77 .0176 6 1.00 2.11 .0177 3 1.00 2.56 .0178 5 1.00 2.13 .0179 5 1.00 1.84 .0180 4 1.00 1.79 .0181 5 1.00 1.73 .0182 4 1.00 1.98 .0183 5 1.00 1.90 .0184 4 1.00 1.71 .0185 5 1.00 1.73 .0186 5 1.00 1.74 .0187 5 1.00 1.80 .0188 5 1.00 1.69 .0189 3 1.00 2.50 .0190 4 1.00 1.85 .0191 4 1.00 2.02 .0192 3 1.00 1.96 .0193 4 1.00 1.58 .0194 4 1.00 1.72 .0195 6 1.00 1.51 .0196 4 1.00 1.62 .0197 6 1.00 1.74 .0198 4 1.00 1.89 .0199 5 1.00 1.49 .0200 5 1.00 2.03 .0201 5 1.00 1.63 .0202 6 1.00 1.92 .0203 5 1.00 2.18 .0204 4 1.00 1.99 .0205 5 1.00 2.11 .0206 4 1.00 1.87 .0207 4 1.00 1.84 .0208 4 1.00 1.93 .0209 5 1.00 1.75 .0210 6 1.00 1.82 .0211 4 1.00 2.27 .0212 4 1.00 2.25 .0213 5 1.00 2.26 .0214 5 1.00 1.89 .0215 5 1.00 1.96 .0216 4 1.00 2.10 .0217 6 1.00 1.68 .0218 5 1.00 2.14 .0219 4 1.00 2.17 .0220 5 1.00 1.40 .0221 6 1.00 1.53 .0222 4 1.00 1.93 .0223 6 1.00 1.83 .0224 4 1.00 1.81 .0225 3 1.00 2.23 .0226 5 1.00 1.84 .0227 4 1.00 1.96 .0228 3 1.00 2.13 .0229 4 1.00 2.61 .0230 9 1.00 1.71 .0231 4 1.00 1.90 .0232 5 1.00 1.80 .0233 4 1.00 1.70 .0234 4 1.00 1.78 .0235 4 1.00 1.90 .0236 4 1.00 1.75 .0237 3 1.00 1.85 .0238 6 1.00 1.68 .0239 8 1.00 14.17 .0240 5 1.00 1.87 .0241 3 1.00 2.22 .0242 4 1.00 1.84 .0243 7 1.00 1.36 .0244 4 1.00 1.86 .0245 4 1.00 1.75 .0246 4 1.00 1.54 .0247 3 1.00 1.85 .0248 4 1.00 1.79 .0249 4 1.00 2.15 .0250 6 1.00 1.66 .0251 1 1.00 0.62 .0252 4 1.00 1.89 .0253 4 1.00 2.23 .0254 4 1.00 1.95 .0255 5 1.00 2.35 .0256 5 1.00 2.00 .0257 4 1.00 2.24 .0258 4 1.00 2.00 .0259 6 1.00 1.78 .0260 6 1.00 1.15 .0261 4 1.00 2.12 .0262 4 1.00 1.91 .0263 3 1.00 1.89 .0264 4 1.00 1.85 .0265 6 1.00 1.84 .0266 5 1.00 1.99 .0267 4 1.00 2.29 .0268 5 1.00 1.85 .0269 4 1.00 2.00 .0270 8 1.00 1.91 .0271 5 1.00 2.06 .0272 4 1.00 2.24 .0273 4 1.00 2.16 .0274 4 1.00 2.32 .0275 6 1.00 1.94 .0276 7 1.00 2.03 .0277 7 1.00 2.06 .0278 6 1.00 1.32 .0279 5 1.00 0.79 .0280 3 1.00 3.34 .0281 4 1.00 2.73 .0282 4 1.00 2.78 .0283 4 1.00 2.62 .0284 3 1.00 2.70 .0285 3 1.00 3.17 .0286 3 1.00 3.31 .0287 4 1.00 2.76 .0288 3 1.00 2.98 .0289 4 1.00 3.04 .0290 4 1.00 3.10 .0291 3 1.00 3.30 .0292 4 1.00 3.52 .0293 6 1.00 2.80 .0294 3 1.00 1.65 .0295 5 1.00 2.97 .0296 5 1.00 3.07 .0297 4 1.00 3.27 .0298 3 1.00 3.94 .0299 5 1.00 3.37 .0300 3 1.00 3.06 .0301 3 1.00 3.51 .0302 5 1.00 2.68 .0303 5 1.00 2.65 .0304 4 1.00 2.87 .0305 3 1.00 3.40 .0306 4 1.00 3.27 .0307 5 1.00 3.35 .0308 3 1.00 3.21 .0309 3 1.00 3.50 .0310 4 1.00 3.41 .0311 4 1.00 3.54 .0312 3 1.00 4.21 .0313 3 1.00 3.98 .0314 5 1.00 3.15 .0315 5 1.00 3.50 .0316 5 1.00 3.77 .0317 2 1.00 4.27 .0318 3 1.00 4.34 .0319 6 1.00 2.96 EXTRACT_IMAGE: b1: masked 2457 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 0 FITDISPERSION: b1: Median wavelength widths = 0.90 0.94 1.01 1.01 pix (LL LR UL UR) % Compiled module: MWRFITS. % Compiled module: FXADDPAR. % Compiled module: HOST_TO_IEEE. % Compiled module: DETABIFY. % Compiled module: FXPARPOS. SPCALIB: b1: Extracting arc # 2 of 2 SPCALIB: b1: Reading arc sdR-b1-00034592.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.49157 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1202.35 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1183. DN is 1 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 2.88573 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1026.51 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1010. DN is 0 SDSSPROC: b1: Number of bleading columns = 1 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Fraction of bad pixels in arc = 4.76837e-05 SPCALIB: b1: Arc sdR-b1-00034592.fit paired with flat sdR-b1-00034591.fit MATCH_TRACE: b1: Iteration: 0 Pixels Rejected: 4213 Finished? 0 MATCH_TRACE: b1: Iteration: 1 Pixels Rejected: 250 Finished? 0 MATCH_TRACE: b1: Iteration: 2 Pixels Rejected: 32 Finished? 0 MATCH_TRACE: b1: Iteration: 3 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: b1: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: b1: Iteration: 5 Pixels Rejected: 0 Finished? 1 SPCALIB: b1: Shifting traces with match_trace 0.00292969 SPCALIB: b1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 2.05 .0004 1 0.93 1.86 .0005 1 0.93 1.54 .0006 2 0.93 1.25 .0007 2 0.93 1.42 .0008 1 0.93 1.43 .0009 1 0.93 2.10 .0010 1 0.93 5.13 .0011 1 0.93 9.02 .0012 1 0.93 9.24 .0013 1 0.93 9.20 .0014 1 0.93 8.18 .0015 1 0.93 7.01 .0016 2 0.93 7.00 .0017 3 0.93 6.15 .0018 1 0.93 5.46 .0019 1 0.93 5.69 .0020 1 0.93 5.76 .0021 1 0.94 4.22 .0022 1 0.94 2.54 .0023 1 0.94 2.04 .0024 1 0.94 1.48 .0025 1 0.94 1.30 .0026 1 0.94 1.16 .0027 1 0.94 1.20 .0028 1 0.94 1.19 .0029 1 0.94 1.18 .0030 1 0.94 1.14 .0031 1 0.94 1.11 .0032 1 0.94 1.11 .0033 1 0.94 1.22 .0034 1 0.94 1.15 .0035 1 0.94 1.09 .0036 1 0.94 1.04 .0037 1 0.94 1.16 .0038 5 0.94 1.15 .0039 1 0.94 1.60 .0040 3 0.94 1.12 .0041 1 0.94 1.36 .0042 2 0.94 1.22 .0043 3 0.94 1.18 .0044 3 0.94 1.21 .0045 3 0.94 1.44 .0046 1 0.94 1.78 .0047 1 0.94 3.26 .0048 1 0.94 6.52 .0049 1 0.94 7.00 .0050 1 0.94 7.13 .0051 1 0.94 6.76 .0052 1 0.94 5.27 .0053 1 0.94 4.87 .0054 1 0.94 4.99 .0055 2 0.94 4.37 .0056 2 0.94 3.65 .0057 1 0.94 3.65 .0058 1 0.94 3.37 .0059 1 0.94 2.53 .0060 1 0.94 1.91 .0061 1 0.94 1.57 .0062 1 0.94 1.24 .0063 1 0.94 1.27 .0064 1 0.94 1.77 .0065 1 0.94 3.48 .0066 1 0.94 4.37 .0067 1 0.95 4.76 .0068 1 0.95 4.29 .0069 1 0.95 3.97 .0070 1 0.95 3.72 .0071 1 0.95 3.48 .0072 1 0.95 3.11 .0073 1 0.95 2.70 .0074 1 0.95 2.78 .0075 1 0.95 2.79 .0076 1 0.95 2.28 .0077 2 0.95 1.80 .0078 1 0.95 1.59 .0079 1 0.95 1.27 .0080 2 0.95 1.13 .0081 1 0.95 1.12 .0082 1 0.95 1.17 .0083 1 0.95 1.15 .0084 1 0.95 1.17 .0085 1 0.95 1.06 .0086 1 0.95 1.11 .0087 1 0.95 1.05 .0088 1 0.95 1.10 .0089 1 0.95 1.06 .0090 1 0.95 1.15 .0091 1 0.95 1.11 .0092 1 0.95 1.09 .0093 2 0.95 1.19 .0094 1 0.95 1.13 .0095 1 0.95 1.12 .0096 1 0.95 1.10 .0097 1 0.95 1.10 .0098 1 0.95 1.12 .0099 1 0.95 1.17 .0100 1 0.95 1.38 .0101 1 0.95 1.80 .0102 1 0.95 1.76 .0103 1 0.95 1.85 .0104 1 0.95 1.71 .0105 1 0.95 1.64 .0106 1 0.95 1.54 .0107 1 0.95 1.56 .0108 1 0.95 1.52 .0109 1 0.95 1.38 .0110 1 0.95 1.37 .0111 1 0.95 1.46 .0112 1 0.95 1.28 .0113 1 0.95 1.13 .0114 1 0.95 1.11 .0115 1 0.95 1.11 .0116 1 0.95 1.05 .0117 1 0.95 1.11 .0118 1 0.95 1.11 .0119 1 0.95 1.13 .0120 1 0.95 1.13 .0121 1 0.95 1.13 .0122 1 0.95 1.06 .0123 2 0.95 1.05 .0124 3 0.95 1.29 .0125 4 0.95 1.05 .0126 3 0.96 1.14 .0127 2 0.96 1.11 .0128 1 0.96 1.04 .0129 1 0.96 1.08 .0130 1 0.96 1.13 .0131 3 0.96 1.12 .0132 1 0.96 1.31 .0133 2 0.96 1.09 .0134 2 0.96 1.28 .0135 3 0.96 1.11 .0136 1 0.96 1.11 .0137 1 0.96 1.21 .0138 1 0.96 1.08 .0139 1 0.96 1.08 .0140 3 0.96 1.13 .0141 1 0.96 1.10 .0142 1 0.96 1.13 .0143 2 0.96 1.15 .0144 1 0.96 1.40 .0145 2 0.96 1.61 .0146 1 0.96 1.65 .0147 1 0.96 1.39 .0148 1 0.96 1.49 .0149 1 0.96 1.38 .0150 1 0.96 1.30 .0151 2 0.96 1.49 .0152 3 0.96 1.32 .0153 1 0.96 1.38 .0154 1 0.96 1.30 .0155 1 0.96 1.27 .0156 1 0.96 1.17 .0157 1 0.96 1.22 .0158 1 0.96 1.07 .0159 1 0.96 1.16 .0160 1 0.96 1.14 .0161 2 0.96 1.29 .0162 3 0.96 1.23 .0163 2 0.96 1.22 .0164 2 0.96 1.37 .0165 1 0.96 1.32 .0166 2 0.96 1.36 .0167 3 0.96 1.76 .0168 2 0.96 2.79 .0169 1 0.96 5.15 .0170 1 0.96 4.71 .0171 1 0.96 4.79 .0172 2 0.96 4.64 .0173 2 0.96 3.97 .0174 1 0.96 3.58 .0175 1 0.96 3.20 .0176 1 0.96 2.77 .0177 1 0.96 2.52 .0178 1 0.96 2.43 .0179 1 0.96 2.54 .0180 1 0.96 2.22 .0181 1 0.96 1.83 .0182 1 0.96 1.43 .0183 1 0.96 1.20 .0184 1 0.96 1.09 .0185 1 0.96 1.10 .0186 1 0.96 1.12 .0187 1 0.96 1.10 .0188 1 0.96 1.04 .0189 1 0.96 1.05 .0190 1 0.96 1.14 .0191 2 0.96 1.04 .0192 2 0.96 1.07 .0193 1 0.96 1.05 .0194 1 0.96 1.08 .0195 1 0.96 1.04 .0196 1 0.96 1.14 .0197 1 0.96 1.09 .0198 1 0.96 1.00 .0199 1 0.96 1.07 .0200 1 0.96 1.08 .0201 1 0.96 1.17 .0202 1 0.96 1.19 .0203 1 0.96 1.13 .0204 1 0.96 1.13 .0205 1 0.96 1.10 .0206 1 0.96 1.10 .0207 1 0.96 1.15 .0208 1 0.96 1.07 .0209 1 0.96 1.13 .0210 1 0.96 1.10 .0211 2 0.96 1.15 .0212 2 0.96 1.14 .0213 1 0.96 1.14 .0214 1 0.97 1.12 .0215 1 0.97 1.14 .0216 1 0.97 1.24 .0217 1 0.97 1.26 .0218 1 0.97 1.69 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1.15 .1549 1 0.99 1.18 .1550 1 0.99 1.21 .1551 1 0.99 1.16 .1552 1 0.99 1.25 .1553 1 0.99 1.14 .1554 1 0.99 1.14 .1555 1 0.99 1.22 .1556 3 0.99 1.08 .1557 1 0.99 1.23 .1558 1 0.99 1.13 .1559 1 0.99 1.28 .1560 3 0.99 1.17 .1561 1 0.99 1.16 .1562 1 0.99 1.11 .1563 2 0.99 1.16 .1564 1 0.99 1.15 .1565 1 0.99 1.22 .1566 1 0.99 1.15 .1567 1 0.99 1.11 .1568 1 0.99 1.08 .1569 1 0.99 1.16 .1570 1 0.99 1.17 .1571 1 0.99 1.15 .1572 1 0.99 1.13 .1573 1 0.99 1.11 .1574 1 0.99 1.06 .1575 1 0.99 1.07 .1576 1 0.99 1.07 .1577 2 0.99 1.21 .1578 1 0.99 1.19 .1579 1 0.99 1.14 .1580 1 0.99 1.10 .1581 1 0.99 1.21 .1582 2 0.99 1.12 .1583 1 0.99 1.13 .1584 1 0.99 1.09 .1585 1 0.99 1.12 .1586 1 0.99 1.10 .1587 4 0.99 1.09 .1588 1 0.99 1.17 .1589 1 0.99 1.15 .1590 1 0.99 1.08 .1591 1 0.99 1.16 .1592 1 0.99 1.05 .1593 3 0.99 1.15 .1594 2 0.99 1.18 .1595 1 0.99 1.02 .1596 1 0.99 1.10 .1597 1 0.99 1.09 .1598 1 0.99 1.08 .1599 1 0.99 1.12 .1600 1 0.99 1.11 .1601 1 0.99 1.03 .1602 1 0.99 1.14 .1603 1 0.99 1.11 .1604 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1.09 .1660 1 0.99 1.09 .1661 1 0.99 1.07 .1662 1 0.99 1.05 .1663 1 0.99 1.06 .1664 1 0.99 1.05 .1665 1 0.99 1.01 .1666 1 0.99 1.08 .1667 1 0.99 1.12 .1668 3 0.99 1.08 .1669 1 0.99 1.19 .1670 1 0.99 1.09 .1671 1 0.99 1.05 .1672 1 0.99 1.03 .1673 1 0.99 1.08 .1674 1 0.99 1.08 .1675 1 0.99 1.08 .1676 1 0.99 1.08 .1677 1 0.99 1.08 .1678 1 0.99 1.07 .1679 1 0.99 1.05 .1680 1 0.99 1.05 .1681 1 0.99 1.07 .1682 1 0.99 1.14 .1683 1 0.99 1.13 .1684 1 0.99 1.02 .1685 1 0.99 1.03 .1686 1 0.99 0.98 .1687 1 0.99 1.06 .1688 1 0.99 1.05 .1689 1 0.99 1.04 .1690 1 0.99 1.13 .1691 1 0.99 1.04 .1692 1 0.99 1.08 .1693 1 0.99 1.10 .1694 4 0.99 1.10 .1695 3 0.99 1.23 .1696 1 0.99 1.04 .1697 1 0.99 1.11 .1698 1 0.99 1.17 .1699 2 0.99 1.11 .1700 2 0.99 1.15 .1701 2 0.99 1.17 .1702 1 0.99 1.02 .1703 1 0.99 1.06 .1704 1 0.99 1.06 .1705 1 0.99 1.10 .1706 3 0.99 1.14 .1707 1 0.99 1.12 .1708 2 0.99 1.10 .1709 1 0.99 1.06 .1710 1 0.99 1.03 .1711 1 0.99 1.01 .1712 1 0.99 1.05 .1713 1 0.99 1.00 .1714 1 0.99 1.05 .1715 1 0.99 1.00 .1716 2 0.99 1.14 .1717 2 0.99 1.02 .1718 1 0.99 1.08 .1719 1 0.99 0.99 .1720 1 0.99 0.96 .1721 1 0.99 0.99 .1722 1 0.99 1.08 .1723 1 0.99 0.97 .1724 1 0.99 1.09 .1725 1 0.99 1.11 .1726 1 0.99 1.03 .1727 2 0.99 1.06 .1728 1 0.99 1.19 .1729 1 0.99 1.11 .1730 1 0.99 1.01 .1731 1 0.99 1.06 .1732 1 0.99 1.05 .1733 1 0.99 1.08 .1734 1 0.99 1.02 .1735 1 0.99 1.02 .1736 1 0.99 1.06 .1737 1 0.99 1.12 .1738 1 0.99 1.00 .1739 1 0.99 1.09 .1740 1 0.99 1.07 .1741 1 0.99 1.08 .1742 1 0.99 1.01 .1743 1 0.99 1.04 .1744 1 0.99 1.08 .1745 3 0.99 1.12 .1746 1 0.99 1.08 .1747 1 0.99 1.06 .1748 1 0.99 1.07 .1749 1 0.99 1.03 .1750 1 0.99 1.03 .1751 1 0.99 1.02 .1752 1 0.99 1.03 .1753 1 0.99 1.03 .1754 1 0.99 1.07 .1755 1 0.99 1.06 .1756 2 0.99 1.07 .1757 2 0.99 1.32 .1758 2 0.99 1.22 .1759 1 0.99 1.09 .1760 1 0.99 1.12 .1761 1 0.99 1.16 .1762 1 0.99 1.13 .1763 1 0.99 1.05 .1764 1 0.99 1.10 .1765 1 0.99 1.11 .1766 1 0.99 1.02 .1767 1 0.99 1.12 .1768 1 0.99 1.16 .1769 1 0.99 1.18 .1770 1 0.99 1.12 .1771 1 0.99 1.36 .1772 1 0.99 1.65 .1773 1 0.99 1.62 .1774 2 0.99 1.69 .1775 1 0.99 1.83 .1776 1 0.99 1.72 .1777 1 0.99 1.65 .1778 2 0.99 1.56 .1779 6 0.99 1.69 .1780 2 0.99 1.72 .1781 1 0.99 1.53 .1782 1 0.99 1.54 .1783 1 0.99 1.43 .1784 1 0.99 1.43 .1785 1 0.99 1.48 .1786 1 0.99 1.50 .1787 1 0.99 1.47 .1788 1 0.99 1.46 .1789 1 0.99 1.51 .1790 1 0.99 1.23 .1791 1 0.99 1.32 .1792 1 0.99 1.41 .1793 1 0.99 1.42 .1794 1 0.99 1.34 .1795 1 0.99 1.44 .1796 1 0.99 1.50 .1797 1 0.99 1.69 .1798 1 0.99 1.66 .1799 1 0.99 1.84 .1800 1 0.99 2.71 .1801 1 0.99 5.84 .1802 1 0.99 11.51 .1803 1 0.99 10.39 .1804 1 0.99 11.16 .1805 1 0.99 15.00 .1806 1 0.99 13.03 .1807 1 0.99 10.51 .1808 1 0.99 9.44 .1809 1 0.99 8.75 .1810 1 0.99 8.16 .1811 1 0.99 8.05 .1812 1 0.99 7.54 .1813 1 0.99 7.42 .1814 1 0.99 7.77 .1815 1 0.99 8.73 .1816 1 0.99 8.12 .1817 1 0.99 7.74 .1818 1 0.99 7.41 .1819 1 0.99 7.20 .1820 1 0.98 6.38 .1821 1 0.98 5.78 .1822 1 0.98 5.53 .1823 1 0.98 5.67 .1824 1 0.98 4.64 .1825 1 0.98 4.11 .1826 1 0.98 3.98 .1827 1 0.98 3.83 .1828 2 0.98 3.52 .1829 1 0.98 2.78 .1830 1 0.98 2.04 .1831 1 0.98 1.87 .1832 2 0.98 1.38 .1833 2 0.98 1.24 .1834 1 0.98 1.28 .1835 1 0.98 1.20 .1836 1 0.98 1.11 .1837 1 0.98 1.12 .1838 1 0.98 1.17 .1839 1 0.98 1.11 .1840 1 0.98 1.12 .1841 1 0.98 1.06 .1842 1 0.98 1.05 .1843 1 0.98 1.17 .1844 1 0.98 1.13 .1845 1 0.98 1.14 .1846 1 0.98 1.11 .1847 1 0.98 1.05 .1848 1 0.98 1.13 .1849 2 0.98 1.17 .1850 3 0.98 1.10 .1851 1 0.98 1.20 .1852 1 0.98 1.13 .1853 1 0.98 1.11 .1854 3 0.98 1.20 .1855 2 0.98 1.26 .1856 1 0.98 1.07 .1857 1 0.98 1.05 .1858 1 0.98 1.19 .1859 2 0.98 1.14 .1860 1 0.98 0.97 .1861 1 0.98 1.08 .1862 2 0.98 1.18 .1863 2 0.98 1.21 .1864 1 0.98 1.08 .1865 1 0.98 1.08 .1866 1 0.98 1.07 .1867 2 0.98 1.06 .1868 1 0.98 1.08 .1869 1 0.98 1.08 .1870 1 0.98 1.04 .1871 1 0.98 0.99 .1872 1 0.98 1.06 .1873 1 0.98 1.11 .1874 1 0.98 1.13 .1875 1 0.98 1.07 .1876 1 0.98 1.01 .1877 2 0.98 1.06 .1878 1 0.98 1.07 .1879 1 0.98 1.09 .1880 1 0.98 1.06 .1881 1 0.98 1.02 .1882 1 0.98 0.99 .1883 1 0.98 1.08 .1884 1 0.98 1.03 .1885 1 0.98 1.37 .1886 3 0.98 1.09 .1887 1 0.98 1.08 .1888 1 0.98 1.13 .1889 2 0.98 1.12 .1890 1 0.98 1.17 .1891 1 0.98 1.08 .1892 2 0.98 1.07 .1893 1 0.98 1.09 .1894 1 0.98 1.14 .1895 1 0.98 1.04 .1896 2 0.98 1.15 .1897 1 0.98 1.01 .1898 3 0.98 1.09 .1899 4 0.98 1.08 .1900 1 0.98 1.02 .1901 1 0.98 1.06 .1902 1 0.98 1.01 .1903 1 0.98 1.07 .1904 1 0.98 1.04 .1905 1 0.98 1.08 .1906 1 0.98 1.11 .1907 1 0.98 1.06 .1908 1 0.98 1.08 .1909 1 0.98 1.22 .1910 2 0.98 1.10 .1911 1 0.98 1.01 .1912 1 0.98 1.03 .1913 1 0.98 1.07 .1914 1 0.98 0.99 .1915 1 0.98 1.06 .1916 1 0.98 1.09 .1917 1 0.98 1.05 .1918 1 0.98 1.02 .1919 1 0.98 1.13 .1920 1 0.98 1.09 .1921 1 0.98 1.15 .1922 1 0.98 1.07 .1923 3 0.98 1.01 .1924 2 0.98 1.07 .1925 1 0.98 1.05 .1926 1 0.98 1.09 .1927 1 0.98 1.00 .1928 2 0.98 1.10 .1929 1 0.98 1.04 .1930 1 0.98 1.01 .1931 1 0.98 1.02 .1932 1 0.98 1.02 .1933 1 0.98 1.00 .1934 1 0.98 1.09 .1935 1 0.98 1.00 .1936 1 0.98 1.04 .1937 1 0.98 1.01 .1938 1 0.98 1.06 .1939 1 0.98 1.02 .1940 1 0.98 1.05 .1941 1 0.98 1.05 .1942 3 0.98 1.15 .1943 1 0.98 1.10 .1944 1 0.98 1.08 .1945 2 0.98 1.11 .1946 1 0.98 1.07 .1947 1 0.98 1.07 .1948 1 0.98 1.07 .1949 1 0.98 1.05 .1950 1 0.98 1.07 .1951 1 0.98 1.04 .1952 2 0.98 1.12 .1953 2 0.98 1.10 .1954 1 0.98 1.05 .1955 1 0.98 1.09 .1956 1 0.98 1.06 .1957 1 0.98 1.00 .1958 1 0.98 1.09 .1959 1 0.98 1.11 .1960 1 0.98 1.05 .1961 1 0.98 1.04 .1962 1 0.98 1.01 .1963 1 0.98 1.00 .1964 1 0.98 0.97 .1965 1 0.98 1.04 .1966 2 0.98 1.05 .1967 2 0.98 1.04 .1968 1 0.98 1.01 .1969 3 0.98 1.09 .1970 3 0.98 1.19 .1971 2 0.98 1.19 .1972 2 0.98 1.10 .1973 1 0.98 1.08 .1974 1 0.98 1.07 .1975 1 0.98 1.05 .1976 1 0.98 1.02 .1977 1 0.98 1.04 .1978 1 0.98 1.04 .1979 1 0.98 1.01 .1980 1 0.98 0.99 .1981 2 0.98 0.99 .1982 2 0.98 1.09 .1983 1 0.98 1.05 .1984 1 0.98 1.05 .1985 1 0.98 1.03 .1986 1 0.98 1.01 .1987 1 0.98 0.99 .1988 1 0.98 1.01 .1989 1 0.98 0.98 .1990 1 0.98 1.00 .1991 1 0.98 1.02 .1992 1 0.98 1.00 .1993 1 0.98 1.05 .1994 1 0.98 0.98 .1995 1 0.98 0.99 .1996 1 0.98 1.02 .1997 1 0.98 1.04 .1998 1 0.98 1.02 .1999 1 0.98 1.01 .2000 3 0.98 1.00 .2001 1 0.98 1.01 .2002 1 0.98 0.99 .2003 1 0.98 0.98 .2004 1 0.98 0.95 .2005 1 0.98 0.99 .2006 1 0.98 1.01 .2007 1 0.98 1.05 .2008 1 0.98 1.06 .2009 1 0.98 0.95 .2010 1 0.98 0.98 .2011 1 0.98 0.99 .2012 2 0.98 1.15 .2013 3 0.98 1.05 .2014 1 0.98 1.05 .2015 1 0.98 1.01 .2016 3 0.98 1.03 .2017 3 0.98 1.02 .2018 1 0.98 1.25 .2019 1 0.98 1.06 .2020 1 0.98 1.03 .2021 1 0.98 1.01 .2022 1 0.98 1.01 .2023 1 0.98 1.17 .2024 1 0.98 1.06 .2025 1 0.98 0.99 .2026 1 0.98 1.01 .2027 1 0.98 1.01 .2028 1 0.98 0.99 .2029 1 0.98 1.04 .2030 1 0.98 1.03 .2031 1 0.98 1.16 .2032 3 0.98 1.27 .2033 2 0.98 1.09 .2034 2 0.98 0.99 .2035 1 0.98 1.02 .2036 1 0.98 0.98 .2037 1 0.98 1.01 .2038 1 0.97 1.02 .2039 1 0.97 0.96 .2040 1 0.97 1.00 .2041 1 0.97 1.02 .2042 2 0.97 1.06 .2043 2 0.97 1.05 .2044 3 0.97 1.10 .2045 1 0.97 1.16 .2046 3 0.97 1.02 .2047 2 0.97 1.10 EXTRACT_IMAGE: b1: masked 507 pixels SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b1: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b1: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Searching about coefficients = 3.68870 -0.10512 -0.00419 0.00016 ARCFIT_ITER: b1: Searching lags from -146 to 146 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Initial wavelength fit = 3.68881 -0.10537 -0.00431 0.00018 ARCFIT_GUESS: b1: Initial correlation = 0.747610 FITARCIMAGE_GLOBAL: b1: Best correlation = 0.747610 FITARCIMAGE_GLOBAL: b1: ASET = 3.68881 -0.10537 -0.00431 0.00018 SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Iterating flux-weighted centers . 0 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 1 0 1.8177237 0.20020524 . 1 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 2 0 6.8574022 0.20985873 . 2 320 0.053 . 3 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 4 0 2.2095845 0.22025819 . 4 320 0.048 . 5 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 6 0 1.1787653 0.24638128 . 6 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 7 0 7.1206441 0.22054073 . 7 320 0.045 . 8 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 9 0 5.6145480 0.21135555 . 9 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 10 0 11.437216 0.23229833 . 10 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 11 0 8.9664770 0.20497420 . 11 320 0.050 . 12 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 13 0 8.4093831 0.24676846 . 13 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 14 0 12.405574 0.21087837 . 14 320 0.046 . 15 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 16 0 6.5797992 0.22261368 . 16 320 0.056 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 17 0 6.9667814 3.7419437 0.32294768 -0.0000000 8.4679315 1 . 17 320 0.048 . 18 320 0.045 . 19 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 20 0 4.5727617 0.25750578 . 20 320 0.048 . 21 320 0.049 . 22 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 23 0 11.621155 0.22565391 . 23 320 0.049 . 24 320 0.048 . 25 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 26 0 1.6406908 0.24928379 . 26 320 0.046 . 27 320 0.049 . 28 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 29 0 15.026782 0.20983877 . 29 320 0.057 . 30 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 31 0 7.1117422 0.24608154 . 31 320 0.053 . 32 320 0.046 . 33 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 34 0 1.9237144 0.23243357 . 34 320 0.048 . 35 320 0.048 . 36 320 0.050 . 37 320 0.049 . 38 320 0.045 . 39 320 0.050 . 40 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 41 0 5.4813104 0.22982942 . 41 320 0.047 . 42 320 0.060 . 43 320 0.053 . 44 320 0.044 . 45 320 0.048 . 46 320 0.056 . 47 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 48 0 7.4581672 0.23933999 . 48 320 0.051 . 49 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 50 0 7.5663122 0.24356779 . 50 320 0.053 . 51 320 0.047 . 52 320 0.050 . 53 320 0.058 . 54 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 55 0 9.9897991 0.20113620 . 55 320 0.046 . 56 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 57 0 5.7424900 0.20847253 . 57 320 0.043 . 58 320 0.047 . 59 320 0.055 . 60 320 0.045 . 61 320 0.049 . 62 320 0.049 . 63 320 0.057 . 64 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 65 0 7.5413995 0.23286324 . 65 320 0.054 . 66 320 0.051 . 67 320 0.053 . 68 320 0.048 . 69 320 0.052 . 70 320 0.051 . 71 320 0.047 . 72 320 0.047 . 73 320 0.050 . 74 320 0.050 . 75 320 0.056 . 76 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 77 0 13.107935 0.24417105 . 77 320 0.503 . 78 320 0.049 . 79 320 0.051 . 80 320 0.049 . 81 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 82 0 2.3303158 0.22848094 . 82 320 0.062 . 83 320 0.049 . 84 320 0.048 . 85 320 0.048 . 86 320 0.059 . 87 320 0.061 . 88 320 0.052 . 89 320 0.052 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -0.87718955 2.4614084 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -20.663010 4.9298995 0.66855407 0.83805068 8.4555785 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -9.6900400 2.4476189 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 90 3 -1.2601724 0.25059516 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -1.8397010 3.0914779 1.0799929 1.0613851 8.3327158 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 5 -5.6307159 2.6747226 0.42843021 -0.0000000 8.6562529 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 6 -0.42113728 3.0360071 0.55221359 0.65469710 9.5134976 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 7 -6.6951969 2.3742158 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 90 8 -72.216502 0.25062754 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -50.409668 2.7288423 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 10 -36.512953 2.7719472 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -22.116132 2.6330864 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 12 -18.749709 2.4460177 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 13 -29.957735 3.0028985 0.51246185 0.63269219 9.9654365 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 14 -11.494743 2.7243798 0.74891062 -0.0000000 8.4359083 1 . 90 320 0.119 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 91 0 -1.7635829 3.1807090 0.47907192 0.59196776 9.6062898 1 . 91 320 0.066 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 92 0 12.926857 0.21363855 . 92 320 0.096 . 93 320 0.051 . 94 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 95 0 5.0973050 0.20351692 . 95 320 0.045 . 96 320 0.054 . 97 320 0.048 . 98 320 0.046 . 99 320 0.047 . 100 320 0.062 . 101 320 0.053 . 102 320 0.049 . 103 320 0.048 . 104 320 0.052 . 105 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 106 0 5.7245467 0.23172882 . 106 320 0.055 . 107 320 0.049 . 108 320 0.052 . 109 320 0.048 . 110 320 0.054 . 111 320 0.049 . 112 320 0.064 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 113 0 7.1591504 0.21704898 . 113 320 0.057 . 114 320 0.058 . 115 320 0.053 . 116 320 0.057 . 117 320 0.051 . 118 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 119 0 4.8946538 0.20971171 . 119 320 0.053 . 120 320 0.053 . 121 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 122 0 3.9338269 0.21946411 . 122 320 0.051 . 123 320 0.063 . 124 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 125 0 10.805555 0.22620571 . 125 320 0.051 . 126 320 0.059 . 127 320 0.065 . 128 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 129 0 12.541981 0.23305360 . 129 320 0.055 . 130 320 0.052 . 131 320 0.050 . 132 320 0.052 . 133 320 0.051 . 134 320 0.052 . 135 320 0.048 . 136 320 0.050 . 137 320 0.056 . 138 320 0.054 . 139 320 0.061 . 140 320 0.058 . 141 320 0.072 . 142 320 0.065 . 143 320 0.063 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 144 0 -0.090690124 3.7739225 0.0000000 0.0000000 0.0000000 3 . 144 320 0.062 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 145 0 8.9155828 0.24760617 . 145 320 0.057 . 146 320 0.066 . 147 320 0.070 . 148 320 0.049 . 149 320 0.050 . 150 320 0.052 . 151 320 0.079 . 152 320 0.054 . 153 320 0.077 . 154 320 0.062 . 155 320 0.068 . 156 320 0.066 . 157 320 0.070 . 158 320 0.066 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 159 0 10.980439 0.20009556 . 159 320 0.064 . 160 320 0.068 . 161 320 0.071 . 162 320 0.076 . 163 320 0.074 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 164 0 6.0986195 0.20766141 . 164 320 0.068 . 165 320 0.073 . 166 320 0.068 . 167 320 0.082 . 168 320 0.063 . 169 320 0.075 . 170 320 0.067 . 171 320 0.075 . 172 320 0.063 . 173 320 0.070 . 174 320 0.066 . 175 320 0.069 . 176 320 0.067 . 177 320 0.072 . 178 320 0.070 . 179 320 0.072 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 180 0 12.003377 0.21296164 . 180 320 0.074 . 181 320 0.073 . 182 320 0.074 . 183 320 0.070 . 184 320 0.060 . 185 320 0.078 . 186 320 0.074 . 187 320 0.070 . 188 320 0.071 . 189 320 0.068 . 190 320 0.074 . 191 320 0.079 . 192 320 0.080 . 193 320 0.065 . 194 320 0.072 . 195 320 0.070 . 196 320 0.069 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 197 0 6.3603881 0.23708564 . 197 320 0.070 . 198 320 0.067 . 199 320 0.070 . 200 320 0.064 . 201 320 0.073 . 202 320 0.054 . 203 320 0.054 . 204 320 0.061 . 205 320 0.058 . 206 320 0.063 . 207 320 0.062 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 208 0 4.7142297 0.22237986 . 208 320 0.061 . 209 320 0.054 . 210 320 0.063 . 211 320 0.062 . 212 320 0.053 . 213 320 0.062 . 214 320 0.049 . 215 320 0.056 . 216 320 0.055 . 217 320 0.055 . 218 320 0.054 . 219 320 0.058 . 220 320 0.053 . 221 320 0.055 . 222 320 0.055 . 223 320 0.056 . 224 320 0.058 . 225 320 0.056 . 226 320 0.051 . 227 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 228 0 2.2517633 0.21547925 . 228 320 0.054 . 229 320 0.056 . 230 320 0.050 . 231 320 0.055 . 232 320 0.067 . 233 320 0.051 . 234 320 0.063 . 235 320 0.056 . 236 320 0.053 . 237 320 0.048 . 238 320 0.054 . 239 320 0.053 . 240 320 0.054 . 241 320 0.049 . 242 320 0.054 . 243 320 0.050 . 244 320 0.055 . 245 320 0.056 . 246 320 0.052 . 247 320 0.049 . 248 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 249 0 8.9113216 0.20187622 . 249 320 0.050 . 250 320 0.051 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -4.1175159 2.4094489 0.47576412 0.53388541 8.1240634 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -3.0556476 2.9864708 0.65087346 -0.0000000 8.8901282 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -8.5735085 2.7885238 0.42063021 0.43877463 7.1375405 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 3 0.87713073 4.9269242 0.38618954 0.45001517 10.342834 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -1.1498259 1.9536822 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 5 -4.6927370 2.3413916 0.59297629 -0.0000000 7.2198419 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 6 -5.3945664 2.2264868 0.33399451 -0.0000000 7.4612945 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 7 -10.506221 2.3367238 0.36954239 -0.0000000 7.0095662 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 8 -34.511354 4.1465702 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 9 -30.346440 2.5986405 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 10 -37.030324 2.5695700 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 11 -19.121007 2.3901193 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 12 -15.526443 2.2177325 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 13 -33.148271 0.28859388 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 14 -8.5351498 2.6793550 0.48076847 0.48120584 8.5510409 1 . 251 320 0.115 . 252 320 0.052 . 253 320 0.053 . 254 320 0.049 . 255 320 0.050 . 256 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 257 0 6.3430294 0.23062015 . 257 320 0.052 . 258 320 0.048 . 259 320 0.052 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 260 0 -0.84142560 2.9695521 0.36914346 -0.0000000 6.4786292 2 . 260 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 261 0 8.3538425 0.21164554 . 261 320 0.052 . 262 320 0.050 . 263 320 0.054 . 264 320 0.046 . 265 320 0.056 . 266 320 0.047 . 267 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 268 0 6.3371080 0.20344269 . 268 320 0.073 . 269 320 0.063 . 270 320 0.063 . 271 320 0.057 . 272 320 0.071 . 273 320 0.057 . 274 320 0.069 . 275 320 0.052 . 276 320 0.058 . 277 320 0.064 . 278 320 0.058 . 279 320 0.045 . 280 320 0.060 . 281 320 0.057 . 282 320 0.068 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 283 0 8.6230141 0.20103069 . 283 320 0.060 . 284 320 0.059 . 285 320 0.054 . 286 320 0.053 . 287 320 0.054 . 288 320 0.068 . 289 320 0.055 . 290 320 0.052 . 291 320 0.048 . 292 320 0.046 . 293 320 0.043 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 0 -1.4489610 2.7698171 0.45630957 0.52219536 7.5226419 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -16.372918 2.4063958 0.65435080 -0.0000000 7.5958638 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 3 38.071196 4.5908170 0.44175787 -0.0000000 9.6949856 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 4 3.3019930 2.0096705 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 5 -2.8291041 1.9986878 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 6 -3.8424510 2.8564250 0.94877934 -0.0000000 5.8462078 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 7 -2.9323814 2.4028349 0.45869581 -0.0000000 7.3757152 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 8 45.901171 0.22814963 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 9 -31.780897 0.20334351 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 10 -44.054895 0.27726683 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 11 -17.783559 3.1075348 0.34587626 -0.0000000 6.2088713 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 12 -15.029518 3.1401294 0.90782615 -0.0000000 6.4884528 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 13 -16.717585 2.8659192 0.42344699 -0.0000000 6.0756173 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 14 -9.9496320 3.0629751 0.59805944 -0.0000000 6.3124319 1 . 294 320 0.102 . 295 320 0.046 . 296 320 0.058 . 297 320 0.053 . 298 320 0.050 . 299 320 0.053 . 300 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 301 0 10.047707 0.20006654 . 301 320 0.046 . 302 320 0.049 . 303 320 0.046 . 304 320 0.041 . 305 320 0.046 . 306 320 0.051 . 307 320 0.049 . 308 320 0.048 . 309 320 0.045 . 310 320 0.045 . 311 320 0.050 . 312 320 0.048 . 313 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 314 0 13.547216 0.22066947 . 314 320 0.051 . 315 320 0.058 . 316 320 0.050 . 317 320 0.044 . 318 320 0.046 . 319 320 0.053 FITARCIMAGE_GLOBAL: b1: Line 0, at 3983.8390 Ang: ERR= 0.147937 ERR_RMS= 0.0371702 pix, 8 masked. FITARCIMAGE_GLOBAL: b1: Line 1, at 4046.5720 Ang: ERR= 0.00470144 ERR_RMS= 0.00977277 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 2, at 4077.8380 Ang: ERR= 0.0158810 ERR_RMS= 0.00180131 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 3, at 4358.3370 Ang: ERR= 0.00328779 ERR_RMS= 0.0139360 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 4, at 4678.1490 Ang: ERR= 0.0330979 ERR_RMS= 0.00495703 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 5, at 4799.9120 Ang: ERR= 0.0169677 ERR_RMS= 0.00181285 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 6, at 4916.0700 Ang: ERR= 0.0548449 ERR_RMS= 0.00873975 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 7, at 5085.8220 Ang: ERR= 0.0126285 ERR_RMS= 0.00142511 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 8, at 5460.7530 Ang: ERR= 0.00255192 ERR_RMS= 0.0188040 pix, 1 masked. FITARCIMAGE_GLOBAL: b1: Line 9, at 5769.5980 Ang: ERR= 0.00515973 ERR_RMS= 0.0111380 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 10, at 5790.6630 Ang: ERR= 0.00517621 ERR_RMS= 0.0152871 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 11, at 5852.4880 Ang: ERR= 0.00707438 ERR_RMS= 0.000593729 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 12, at 5881.8950 Ang: ERR= 0.00906381 ERR_RMS= 0.000790658 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 13, at 5944.8340 Ang: ERR= 0.00787366 ERR_RMS= 0.0157805 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 14, at 6029.9970 Ang: ERR= 0.0158676 ERR_RMS= 0.00155382 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b1: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 1 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 1 11 15 0 12 15 1 13 15 1 14 15 1 15 15 1 16 15 0 17 15 1 18 15 0 19 15 1 20 15 1 21 15 0 22 15 0 23 15 1 24 15 1 25 15 0 26 15 1 27 15 1 28 15 0 29 15 0 30 15 1 31 15 0 32 15 0 33 15 1 34 15 0 35 15 1 36 15 1 37 15 0 38 15 1 39 15 1 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 1 46 15 0 47 15 1 48 15 1 49 15 1 50 15 0 51 15 1 52 15 1 53 15 0 54 15 0 55 15 1 56 15 1 57 15 0 58 15 1 59 15 0 60 15 1 61 15 0 62 15 1 63 15 0 64 15 0 65 15 1 66 15 1 67 15 1 68 15 1 69 15 0 70 15 1 71 15 1 72 15 0 73 15 0 74 15 0 75 15 1 76 15 0 77 15 1 78 15 0 79 15 0 80 15 1 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 1 87 15 1 88 15 0 89 15 1 90 15 13 91 15 2 92 15 0 93 15 0 94 15 0 95 15 1 96 15 1 97 15 1 98 15 0 99 15 1 100 15 1 101 15 1 102 15 0 103 15 0 104 15 1 105 15 1 106 15 0 107 15 1 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 1 123 15 1 124 15 1 125 15 1 126 15 0 127 15 1 128 15 1 129 15 0 130 15 0 131 15 1 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 1 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 1 145 15 1 146 15 0 147 15 0 148 15 1 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 1 156 15 1 157 15 0 158 15 0 159 15 1 160 15 1 161 15 1 162 15 0 163 15 1 164 15 1 165 15 0 166 15 0 167 15 1 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 1 174 15 1 175 15 0 176 15 1 177 15 0 178 15 0 179 15 0 180 15 1 181 15 1 182 15 0 183 15 0 184 15 1 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 1 192 15 0 193 15 0 194 15 1 195 15 1 196 15 0 197 15 0 198 15 2 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 1 205 15 0 206 15 0 207 15 1 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 1 216 15 1 217 15 1 218 15 1 219 15 0 220 15 0 221 15 1 222 15 0 223 15 1 224 15 0 225 15 0 226 15 1 227 15 0 228 15 1 229 15 0 230 15 1 231 15 1 232 15 0 233 15 0 234 15 1 235 15 0 236 15 1 237 15 0 238 15 1 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 1 247 15 1 248 15 0 249 15 1 250 15 0 251 15 14 252 15 0 253 15 0 254 15 0 255 15 2 256 15 0 257 15 0 258 15 0 259 15 0 260 15 2 261 15 0 262 15 0 263 15 0 264 15 1 265 15 1 266 15 0 267 15 0 268 15 1 269 15 0 270 15 1 271 15 0 272 15 1 273 15 0 274 15 0 275 15 0 276 15 0 277 15 1 278 15 2 279 15 4 280 15 0 281 15 0 282 15 0 283 15 0 284 15 1 285 15 1 286 15 0 287 15 0 288 15 0 289 15 1 290 15 0 291 15 1 292 15 1 293 15 0 294 15 11 295 15 1 296 15 0 297 15 1 298 15 0 299 15 1 300 15 1 301 15 0 302 15 1 303 15 1 304 15 0 305 15 0 306 15 1 307 15 0 308 15 0 309 15 1 310 15 1 311 15 0 312 15 0 313 15 1 314 15 1 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 171 Pass 1 complete FITARCIMAGE_GLOBAL: b1: Number of arclines after bundle test = 15 FITARCLINES: b1: ncoeffs (x,y): 4 5 FITARCLINES: b1: errored out 2 fibers: 90 251 FITARCLINES: b1: fit rchi2: 0.13547735 FITARCLINES: b1: offset stddev: 320 1.9533316e-13 FITARCLINES: b1: scale stddev: 320 3.2273190e-13 FITARCLINES: b1: poly x,y,stddev: 0 0 7.0802052e-07 FITARCLINES: b1: poly x,y,stddev: 1 0 2.0576657e-06 FITARCLINES: b1: poly x,y,stddev: 2 0 1.5988425e-06 FITARCLINES: b1: poly x,y,stddev: 3 0 3.2085566e-06 FITARCLINES: b1: poly x,y,stddev: 0 1 4.8304071e-07 FITARCLINES: b1: poly x,y,stddev: 1 1 1.4057869e-06 FITARCLINES: b1: poly x,y,stddev: 2 1 1.0928162e-06 FITARCLINES: b1: poly x,y,stddev: 3 1 2.1935729e-06 FITARCLINES: b1: poly x,y,stddev: 0 2 4.8429078e-07 FITARCLINES: b1: poly x,y,stddev: 1 2 1.4237007e-06 FITARCLINES: b1: poly x,y,stddev: 2 2 1.1200164e-06 FITARCLINES: b1: poly x,y,stddev: 3 2 2.2446781e-06 FITARCLINES: b1: correcting per-fiber coefficients for fibers: 90 239 251 294 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: BADARC lines masked: 90 239 251 294 FITARCIMAGE_GLOBAL: b1: IVAR=0 centroids masked: 47 Final arcfit complete FITARCIMAGE_GLOBAL: b1: Time 42. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 5 1.00 2.52 .0001 3 1.00 3.05 .0002 5 1.00 2.23 .0003 4 1.00 2.80 .0004 7 1.00 1.69 .0005 4 1.00 2.11 .0006 4 1.00 2.24 .0007 4 1.00 2.46 .0008 6 1.00 2.11 .0009 5 1.00 2.34 .0010 4 1.00 2.18 .0011 5 1.00 2.79 .0012 4 1.00 2.40 .0013 6 1.00 2.10 .0014 4 1.00 2.17 .0015 3 1.00 2.20 .0016 3 1.00 2.53 .0017 7 1.00 1.85 .0018 3 1.00 2.26 .0019 6 1.00 2.24 .0020 5 1.00 2.73 .0021 4 1.00 2.48 .0022 6 1.00 1.88 .0023 5 1.00 2.06 .0024 5 1.00 2.42 .0025 4 1.00 1.97 .0026 5 1.00 1.67 .0027 5 1.00 1.58 .0028 5 1.00 1.85 .0029 4 1.00 2.10 .0030 4 1.00 1.96 .0031 4 1.00 2.29 .0032 6 1.00 1.79 .0033 4 1.00 1.76 .0034 7 1.00 2.00 .0035 9 1.00 1.15 .0036 7 1.00 1.11 .0037 5 1.00 1.60 .0038 6 1.00 1.33 .0039 8 1.00 1.15 .0040 6 1.00 1.47 .0041 3 1.00 1.80 .0042 3 1.00 2.35 .0043 5 1.00 1.82 .0044 9 1.00 1.46 .0045 5 1.00 2.00 .0046 4 1.00 1.75 .0047 7 1.00 1.78 .0048 5 1.00 1.84 .0049 5 1.00 1.99 .0050 4 1.00 2.30 .0051 4 1.00 2.14 .0052 4 1.00 2.05 .0053 6 1.00 2.00 .0054 5 1.00 1.93 .0055 5 1.00 1.90 .0056 7 1.00 0.93 .0057 6 1.00 1.48 .0058 6 1.00 1.85 .0059 7 1.00 1.67 .0060 4 1.00 2.09 .0061 5 1.00 1.96 .0062 4 1.00 1.81 .0063 4 1.00 2.01 .0064 4 1.00 2.25 .0065 6 1.00 1.88 .0066 4 1.00 2.16 .0067 5 1.00 2.50 .0068 3 1.00 2.22 .0069 7 1.00 1.70 .0070 4 1.00 1.90 .0071 5 1.00 2.02 .0072 4 1.00 2.16 .0073 4 1.00 2.55 .0074 7 1.00 1.51 .0075 4 1.00 2.29 .0076 5 1.00 1.93 .0077 5 1.00 1.88 .0078 4 1.00 1.85 .0079 5 1.00 1.62 .0080 3 1.00 2.02 .0081 5 1.00 1.52 .0082 3 1.00 1.54 .0083 3 1.00 1.82 .0084 3 1.00 1.72 .0085 6 1.00 1.45 .0086 4 1.00 1.94 .0087 4 1.00 1.74 .0088 4 1.00 1.94 .0089 8 1.00 1.37 .0090 1 1.00 0.66 .0091 3 1.00 0.85 .0092 5 1.00 1.66 .0093 4 1.00 1.65 .0094 4 1.00 1.32 .0095 4 1.00 1.36 .0096 3 1.00 1.89 .0097 4 1.00 1.69 .0098 6 1.00 1.26 .0099 5 1.00 1.83 .0100 6 1.00 1.45 .0101 7 1.00 1.41 .0102 4 1.00 1.75 .0103 4 1.00 1.71 .0104 3 1.00 1.85 .0105 3 1.00 1.92 .0106 4 1.00 1.86 .0107 4 1.00 1.76 .0108 4 1.00 2.07 .0109 6 1.00 2.22 .0110 4 1.00 1.77 .0111 6 1.00 1.50 .0112 5 1.00 2.28 .0113 10 1.00 1.16 .0114 5 1.00 2.24 .0115 5 1.00 2.40 .0116 4 1.00 1.96 .0117 4 1.00 1.99 .0118 4 1.00 2.11 .0119 4 1.00 1.87 .0120 4 1.00 1.94 .0121 4 1.00 2.01 .0122 4 1.00 2.13 .0123 5 1.00 2.06 .0124 4 1.00 1.85 .0125 6 1.00 1.88 .0126 4 1.00 2.52 .0127 5 1.00 1.96 .0128 5 1.00 2.50 .0129 5 1.00 2.73 .0130 4 1.00 2.73 .0131 4 1.00 2.61 .0132 4 1.00 2.40 .0133 5 1.00 2.21 .0134 4 1.00 2.22 .0135 7 1.00 1.75 .0136 5 1.00 2.53 .0137 5 1.00 1.99 .0138 5 1.00 2.15 .0139 4 1.00 2.28 .0140 5 1.00 2.40 .0141 6 1.00 1.90 .0142 3 1.00 2.78 .0143 5 1.00 1.91 .0144 7 1.00 1.37 .0145 10 1.00 1.33 .0146 7 1.00 2.40 .0147 5 1.00 2.58 .0148 5 1.00 2.10 .0149 6 1.00 1.67 .0150 8 1.00 1.81 .0151 7 1.00 1.61 .0152 5 1.00 2.09 .0153 6 1.00 1.92 .0154 5 1.00 1.81 .0155 5 1.00 1.81 .0156 4 1.00 2.28 .0157 5 1.00 2.15 .0158 5 1.00 2.21 .0159 5 1.00 1.80 .0160 5 1.00 1.84 .0161 5 1.00 1.75 .0162 5 1.00 2.07 .0163 5 1.00 2.52 .0164 7 1.00 2.24 .0165 4 1.00 2.77 .0166 4 1.00 2.75 .0167 5 1.00 2.10 .0168 5 1.00 2.05 .0169 5 1.00 2.39 .0170 4 1.00 2.26 .0171 4 1.00 2.30 .0172 4 1.00 2.18 .0173 4 1.00 2.31 .0174 4 1.00 2.52 .0175 4 1.00 1.93 .0176 4 1.00 2.23 .0177 4 1.00 2.33 .0178 5 1.00 2.38 .0179 5 1.00 2.05 .0180 4 1.00 1.91 .0181 4 1.00 1.68 .0182 4 1.00 1.86 .0183 5 1.00 1.69 .0184 5 1.00 1.61 .0185 9 1.00 1.70 .0186 7 1.00 1.42 .0187 4 1.00 2.26 .0188 3 1.00 2.11 .0189 4 1.00 1.96 .0190 5 1.00 1.71 .0191 4 1.00 1.84 .0192 6 1.00 1.69 .0193 4 1.00 1.59 .0194 4 1.00 1.79 .0195 4 1.00 1.74 .0196 4 1.00 1.66 .0197 5 1.00 1.60 .0198 5 1.00 1.43 .0199 5 1.00 1.57 .0200 5 1.00 2.15 .0201 6 1.00 1.90 .0202 6 1.00 1.94 .0203 5 1.00 2.05 .0204 5 1.00 1.82 .0205 5 1.00 1.93 .0206 4 1.00 1.89 .0207 6 1.00 1.79 .0208 7 1.00 1.66 .0209 7 1.00 1.57 .0210 5 1.00 2.11 .0211 4 1.00 2.02 .0212 3 1.00 2.22 .0213 4 1.00 1.85 .0214 4 1.00 2.23 .0215 3 1.00 2.21 .0216 4 1.00 2.16 .0217 6 1.00 1.82 .0218 6 1.00 1.99 .0219 6 1.00 2.10 .0220 4 1.00 2.13 .0221 4 1.00 1.86 .0222 4 1.00 1.78 .0223 3 1.00 2.11 .0224 3 1.00 2.33 .0225 4 1.00 2.05 .0226 3 1.00 2.52 .0227 7 1.00 1.38 .0228 4 1.00 1.84 .0229 5 1.00 2.10 .0230 5 1.00 1.83 .0231 4 1.00 1.78 .0232 4 1.00 1.75 .0233 5 1.00 1.81 .0234 4 1.00 1.78 .0235 4 1.00 1.99 .0236 6 1.00 1.87 .0237 4 1.00 1.79 .0238 5 1.00 1.70 .0239 7 1.00 14.87 .0240 3 1.00 2.32 .0241 5 1.00 1.58 .0242 4 1.00 2.07 .0243 4 1.00 1.79 .0244 4 1.00 1.79 .0245 5 1.00 1.75 .0246 4 1.00 1.97 .0247 5 1.00 1.58 .0248 6 1.00 1.66 .0249 4 1.00 2.15 .0250 4 1.00 1.83 .0251 1 1.00 0.54 .0252 6 1.00 1.75 .0253 5 1.00 1.89 .0254 5 1.00 2.00 .0255 5 1.00 2.36 .0256 5 1.00 1.84 .0257 3 1.00 2.44 .0258 3 1.00 2.39 .0259 5 1.00 1.85 .0260 3 1.00 1.06 .0261 3 1.00 2.22 .0262 4 1.00 2.11 .0263 6 1.00 1.73 .0264 4 1.00 2.09 .0265 6 1.00 1.93 .0266 7 1.00 1.84 .0267 5 1.00 1.97 .0268 3 1.00 2.29 .0269 7 1.00 2.04 .0270 6 1.00 2.09 .0271 4 1.00 2.19 .0272 4 1.00 2.25 .0273 3 1.00 2.37 .0274 8 1.00 1.95 .0275 8 1.00 1.77 .0276 6 1.00 2.11 .0277 4 1.00 2.28 .0278 3 1.00 1.68 .0279 4 1.00 0.81 .0280 4 1.00 2.89 .0281 4 1.00 2.73 .0282 4 1.00 2.67 .0283 3 1.00 3.22 .0284 5 1.00 2.61 .0285 4 1.00 2.82 .0286 4 1.00 2.67 .0287 3 1.00 3.05 .0288 4 1.00 2.94 .0289 4 1.00 2.99 .0290 4 1.00 3.27 .0291 4 1.00 3.47 .0292 4 1.00 3.02 .0293 5 1.00 3.24 .0294 6 1.00 1.49 .0295 4 1.00 2.88 .0296 3 1.00 3.04 .0297 3 1.00 3.46 .0298 4 1.00 3.58 .0299 3 1.00 3.88 .0300 4 1.00 3.06 .0301 4 1.00 3.32 .0302 4 1.00 3.05 .0303 3 1.00 3.71 .0304 4 1.00 3.23 .0305 4 1.00 3.37 .0306 4 1.00 3.42 .0307 3 1.00 3.25 .0308 3 1.00 3.77 .0309 3 1.00 3.68 .0310 3 1.00 3.50 .0311 3 1.00 4.23 .0312 4 1.00 3.27 .0313 5 1.00 3.38 .0314 4 1.00 3.19 .0315 4 1.00 4.21 .0316 4 1.00 4.28 .0317 3 1.00 3.83 .0318 4 1.00 3.38 .0319 4 1.00 3.52 EXTRACT_IMAGE: b1: masked 2433 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 0 FITDISPERSION: b1: Median wavelength widths = 0.91 0.95 1.01 1.01 pix (LL LR UL UR) SPCALIB: b1: Create fiberflats for flat # 1 of 2 SPCALIB: b1: Flat sdR-b1-00034585.fit paired with arc sdR-b1-00034586.fit SPCALIB: b1: Reading flat sdR-b1-00034585.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.68265 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1203.38 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1184. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.06711 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1026.99 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1011. DN is 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.64 .0004 1 0.93 1.65 .0005 1 0.93 1.70 .0006 1 0.93 1.67 .0007 1 0.93 1.71 .0008 1 0.93 1.76 .0009 2 0.93 1.83 .0010 1 0.93 2.14 .0011 2 0.93 1.83 .0012 1 0.93 1.91 .0013 1 0.93 1.93 .0014 1 0.93 1.87 .0015 1 0.93 1.88 .0016 1 0.93 2.17 .0017 1 0.93 1.97 .0018 1 0.93 2.07 .0019 1 0.93 1.92 .0020 1 0.93 1.91 .0021 1 0.93 2.17 .0022 1 0.93 1.96 .0023 1 0.93 2.02 .0024 1 0.93 2.11 .0025 1 0.93 2.09 .0026 1 0.93 2.03 .0027 1 0.93 2.08 .0028 2 0.93 2.28 .0029 2 0.93 2.14 .0030 3 0.93 2.28 .0031 1 0.93 2.26 .0032 1 0.93 2.25 .0033 1 0.93 2.22 .0034 1 0.93 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.2001 1 0.98 2.45 .2002 1 0.98 2.53 .2003 1 0.98 2.61 .2004 1 0.98 2.55 .2005 1 0.98 2.67 .2006 1 0.98 2.52 .2007 1 0.98 2.45 .2008 1 0.98 2.54 .2009 1 0.98 2.51 .2010 1 0.98 2.57 .2011 1 0.98 2.61 .2012 1 0.98 2.47 .2013 1 0.98 2.42 .2014 1 0.98 2.50 .2015 1 0.98 2.54 .2016 1 0.98 2.39 .2017 1 0.98 2.34 .2018 1 0.98 2.35 .2019 1 0.98 2.43 .2020 1 0.98 2.46 .2021 1 0.98 2.34 .2022 2 0.98 2.71 .2023 1 0.98 2.40 .2024 2 0.98 2.38 .2025 2 0.98 2.43 .2026 1 0.98 2.38 .2027 1 0.98 2.69 .2028 1 0.98 2.36 .2029 1 0.98 2.32 .2030 1 0.98 2.37 .2031 1 0.98 2.31 .2032 1 0.98 2.35 .2033 1 0.98 2.44 .2034 1 0.98 2.41 .2035 1 0.98 2.26 .2036 1 0.97 2.42 .2037 1 0.97 2.34 .2038 1 0.97 2.29 .2039 1 0.97 2.47 .2040 1 0.97 2.33 .2041 1 0.97 2.40 .2042 2 0.97 2.27 .2043 1 0.97 2.41 .2044 1 0.97 2.34 .2045 1 0.97 2.47 .2046 1 0.97 2.27 .2047 2 0.97 2.50 EXTRACT_IMAGE: b1: masked 90 pixels % Compiled module: DOSCATTER. DOSCATTER: b1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b1: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b1: adding rows: 32 % Compiled module: GEN_SCATTER. % Compiled module: REAL_PART. Step 2 of 2080 0.62 32 0.02 0.08 Step 6 of 2080 0.62 64 0.03 0.16 Step 10 of 2080 0.61 64 0.04 0.14 Step 14 of 2080 0.61 64 0.04 0.14 Step 18 of 2080 0.61 64 0.04 0.17 Step 22 of 2080 0.61 64 0.04 0.15 Step 26 of 2080 0.61 64 0.04 0.15 Step 30 of 2080 0.61 64 0.06 0.16 Step 34 of 2080 0.61 64 0.05 0.15 Step 38 of 2080 0.61 64 0.05 0.17 Step 42 of 2080 0.61 64 0.05 0.15 Step 46 of 2080 0.61 64 0.05 0.15 Step 50 of 2080 0.61 64 0.06 0.15 Step 54 of 2080 0.61 64 0.05 0.14 Step 58 of 2080 0.61 64 0.05 0.16 Step 62 of 2080 0.61 64 0.05 0.14 Step 66 of 2080 0.61 64 0.04 0.15 Step 70 of 2080 0.61 64 0.05 0.16 Step 74 of 2080 0.61 64 0.04 0.14 Step 78 of 2080 0.61 64 0.04 0.14 Step 82 of 2080 0.61 64 0.06 0.15 Step 86 of 2080 0.61 64 0.05 0.14 Step 90 of 2080 0.60 64 0.06 0.14 Step 94 of 2080 0.60 64 0.05 0.14 Step 98 of 2080 0.60 64 0.04 0.13 Step 102 of 2080 0.60 64 0.05 0.14 Step 106 of 2080 0.60 64 0.04 0.12 Step 110 of 2080 0.60 64 0.04 0.12 Step 114 of 2080 0.60 64 0.05 0.13 Step 118 of 2080 0.60 64 0.04 0.13 Step 122 of 2080 0.60 64 0.04 0.12 Step 126 of 2080 0.60 64 0.04 0.14 Step 130 of 2080 0.60 64 0.04 0.13 Step 134 of 2080 0.60 64 0.03 0.11 Step 138 of 2080 0.60 64 0.03 0.14 Step 142 of 2080 0.60 64 0.04 0.12 Step 146 of 2080 0.60 64 0.04 0.12 Step 150 of 2080 0.60 64 0.04 0.15 Step 154 of 2080 0.60 64 0.05 0.13 Step 158 of 2080 0.60 64 0.04 0.12 Step 162 of 2080 0.60 64 0.07 0.16 Step 166 of 2080 0.60 64 0.05 0.13 Step 170 of 2080 0.59 64 0.04 0.14 Step 174 of 2080 0.59 64 0.05 0.14 Step 178 of 2080 0.59 64 0.04 0.13 Step 182 of 2080 0.59 64 0.05 0.15 Step 186 of 2080 0.59 64 0.04 0.14 Step 190 of 2080 0.59 64 0.05 0.17 Step 194 of 2080 0.59 64 0.06 0.14 Step 198 of 2080 0.59 64 0.05 0.12 Step 202 of 2080 0.59 64 0.05 0.13 Step 206 of 2080 0.59 64 0.07 0.15 Step 210 of 2080 0.59 64 0.05 0.13 Step 214 of 2080 0.59 64 0.05 0.13 Step 218 of 2080 0.59 64 0.07 0.17 Step 222 of 2080 0.59 64 0.07 0.16 Step 226 of 2080 0.59 64 0.06 0.17 Step 230 of 2080 0.59 64 0.07 0.15 Step 234 of 2080 0.59 64 0.05 0.15 Step 238 of 2080 0.59 64 0.04 0.13 Step 242 of 2080 0.59 64 0.06 0.14 Step 246 of 2080 0.59 64 0.05 0.13 Step 250 of 2080 0.58 64 0.05 0.16 Step 254 of 2080 0.58 64 0.03 0.13 Step 258 of 2080 0.58 64 0.03 0.12 Step 262 of 2080 0.58 64 0.03 0.12 Step 266 of 2080 0.58 64 0.04 0.14 Step 270 of 2080 0.58 64 0.03 0.12 Step 274 of 2080 0.58 64 0.03 0.12 Step 278 of 2080 0.58 64 0.03 0.11 Step 282 of 2080 0.58 64 0.03 0.13 Step 286 of 2080 0.58 64 0.04 0.12 Step 290 of 2080 0.58 64 0.04 0.12 Step 294 of 2080 0.58 64 0.04 0.12 Step 298 of 2080 0.58 64 0.04 0.15 Step 302 of 2080 0.58 64 0.04 0.12 Step 306 of 2080 0.58 64 0.04 0.13 Step 310 of 2080 0.58 64 0.04 0.13 Step 314 of 2080 0.58 64 0.05 0.12 Step 318 of 2080 0.58 64 0.06 0.15 Step 322 of 2080 0.58 64 0.05 0.13 Step 326 of 2080 0.58 64 0.04 0.15 Step 330 of 2080 0.57 64 0.04 0.15 Step 334 of 2080 0.57 64 0.04 0.15 Step 338 of 2080 0.57 64 0.05 0.16 Step 342 of 2080 0.57 64 0.05 0.15 Step 346 of 2080 0.57 64 0.04 0.14 Step 350 of 2080 0.57 64 0.05 0.15 Step 354 of 2080 0.57 64 0.04 0.12 Step 358 of 2080 0.57 64 0.05 0.13 Step 362 of 2080 0.57 64 0.05 0.13 Step 366 of 2080 0.57 64 0.07 0.16 Step 370 of 2080 0.57 64 0.05 0.13 Step 374 of 2080 0.57 64 0.05 0.13 Step 378 of 2080 0.57 64 0.07 0.16 Step 382 of 2080 0.57 64 0.06 0.16 Step 386 of 2080 0.57 64 0.06 0.16 Step 390 of 2080 0.57 64 0.03 0.13 Step 394 of 2080 0.57 64 0.04 0.13 Step 398 of 2080 0.57 64 0.03 0.12 Step 402 of 2080 0.57 64 0.03 0.14 Step 406 of 2080 0.57 64 0.04 0.14 Step 410 of 2080 0.56 64 0.04 0.14 Step 414 of 2080 0.56 64 0.04 0.15 Step 418 of 2080 0.56 64 0.03 0.13 Step 422 of 2080 0.56 64 0.03 0.12 Step 426 of 2080 0.56 64 0.04 0.13 Step 430 of 2080 0.56 64 0.06 0.14 Step 434 of 2080 0.56 64 0.04 0.12 Step 438 of 2080 0.56 64 0.04 0.12 Step 442 of 2080 0.56 64 0.05 0.15 Step 446 of 2080 0.56 64 0.03 0.13 Step 450 of 2080 0.56 64 0.04 0.14 Step 454 of 2080 0.56 64 0.04 0.14 Step 458 of 2080 0.56 64 0.05 0.14 Step 462 of 2080 0.56 64 0.04 0.13 Step 466 of 2080 0.56 64 0.04 0.14 Step 470 of 2080 0.56 64 0.05 0.16 Step 474 of 2080 0.56 64 0.04 0.15 Step 478 of 2080 0.56 64 0.06 0.18 Step 482 of 2080 0.56 64 0.04 0.15 Step 486 of 2080 0.56 64 0.03 0.13 Step 490 of 2080 0.56 64 0.04 0.14 Step 494 of 2080 0.55 64 0.07 0.17 Step 498 of 2080 0.55 64 0.05 0.14 Step 502 of 2080 0.55 64 0.04 0.14 Step 506 of 2080 0.55 64 0.05 0.13 Step 510 of 2080 0.55 64 0.03 0.14 Step 514 of 2080 0.55 64 0.03 0.13 Step 518 of 2080 0.55 64 0.06 0.15 Step 522 of 2080 0.55 64 0.04 0.13 Step 526 of 2080 0.55 64 0.04 0.14 Step 530 of 2080 0.55 64 0.09 0.19 Step 534 of 2080 0.55 64 0.06 0.16 Step 538 of 2080 0.55 64 0.05 0.15 Step 542 of 2080 0.55 64 0.06 0.16 Step 546 of 2080 0.55 64 0.05 0.15 Step 550 of 2080 0.55 64 0.04 0.15 Step 554 of 2080 0.55 64 0.07 0.16 Step 558 of 2080 0.55 64 0.04 0.14 Step 562 of 2080 0.55 64 0.05 0.16 Step 566 of 2080 0.55 64 0.05 0.16 Step 570 of 2080 0.55 64 0.04 0.14 Step 574 of 2080 0.54 64 0.07 0.16 Step 578 of 2080 0.54 64 0.04 0.13 Step 582 of 2080 0.54 64 0.06 0.16 Step 586 of 2080 0.54 64 0.05 0.13 Step 590 of 2080 0.54 64 0.05 0.14 Step 594 of 2080 0.54 64 0.05 0.14 Step 598 of 2080 0.54 64 0.06 0.15 Step 602 of 2080 0.54 64 0.05 0.13 Step 606 of 2080 0.54 64 0.04 0.13 Step 610 of 2080 0.54 64 0.06 0.14 Step 614 of 2080 0.54 64 0.04 0.13 Step 618 of 2080 0.54 64 0.04 0.12 Step 622 of 2080 0.54 64 0.05 0.15 Step 626 of 2080 0.54 64 0.05 0.14 Step 630 of 2080 0.54 64 0.04 0.14 Step 634 of 2080 0.54 64 0.04 0.16 Step 638 of 2080 0.54 64 0.05 0.15 Step 642 of 2080 0.54 64 0.04 0.13 Step 646 of 2080 0.54 64 0.04 0.13 Step 650 of 2080 0.54 64 0.04 0.13 Step 654 of 2080 0.54 64 0.05 0.14 Step 658 of 2080 0.53 64 0.04 0.13 Step 662 of 2080 0.53 64 0.04 0.13 Step 666 of 2080 0.53 64 0.04 0.13 Step 670 of 2080 0.53 64 0.07 0.17 Step 674 of 2080 0.53 64 0.04 0.14 Step 678 of 2080 0.53 64 0.07 0.16 Step 682 of 2080 0.53 64 0.06 0.17 Step 686 of 2080 0.53 64 0.06 0.15 Step 690 of 2080 0.53 64 0.05 0.13 Step 694 of 2080 0.53 64 0.05 0.13 Step 698 of 2080 0.53 64 0.04 0.13 Step 702 of 2080 0.53 64 0.07 0.14 Step 706 of 2080 0.53 64 0.05 0.13 Step 710 of 2080 0.53 64 0.04 0.14 Step 714 of 2080 0.53 64 0.04 0.15 Step 718 of 2080 0.53 64 0.07 0.15 Step 722 of 2080 0.53 64 0.05 0.14 Step 726 of 2080 0.53 64 0.04 0.12 Step 730 of 2080 0.53 64 0.04 0.15 Step 734 of 2080 0.53 64 0.04 0.15 Step 738 of 2080 0.53 64 0.03 0.14 Step 742 of 2080 0.52 64 0.03 0.14 Step 746 of 2080 0.52 64 0.04 0.16 Step 750 of 2080 0.52 64 0.05 0.14 Step 754 of 2080 0.52 64 0.07 0.17 Step 758 of 2080 0.52 64 0.05 0.13 Step 762 of 2080 0.52 64 0.06 0.15 Step 766 of 2080 0.52 64 0.04 0.12 Step 770 of 2080 0.52 64 0.04 0.14 Step 774 of 2080 0.52 64 0.03 0.13 Step 778 of 2080 0.52 64 0.05 0.14 Step 782 of 2080 0.52 64 0.04 0.13 Step 786 of 2080 0.52 64 0.04 0.15 Step 790 of 2080 0.52 64 0.04 0.14 Step 794 of 2080 0.52 64 0.05 0.15 Step 798 of 2080 0.52 64 0.03 0.15 Step 802 of 2080 0.52 64 0.03 0.13 Step 806 of 2080 0.52 64 0.04 0.15 Step 810 of 2080 0.52 64 0.04 0.14 Step 814 of 2080 0.52 64 0.05 0.17 Step 818 of 2080 0.52 64 0.04 0.15 Step 822 of 2080 0.52 64 0.08 0.17 Step 826 of 2080 0.51 64 0.05 0.14 Step 830 of 2080 0.51 64 0.05 0.15 Step 834 of 2080 0.51 64 0.05 0.15 Step 838 of 2080 0.51 64 0.07 0.18 Step 842 of 2080 0.51 64 0.07 0.17 Step 846 of 2080 0.51 64 0.04 0.15 Step 850 of 2080 0.51 64 0.06 0.17 Step 854 of 2080 0.51 64 0.04 0.17 Step 858 of 2080 0.51 64 0.05 0.16 Step 862 of 2080 0.51 64 0.07 0.18 Step 866 of 2080 0.51 64 0.05 0.17 Step 870 of 2080 0.51 64 0.05 0.14 Step 874 of 2080 0.51 64 0.05 0.15 Step 878 of 2080 0.51 64 0.05 0.16 Step 882 of 2080 0.51 64 0.05 0.16 Step 886 of 2080 0.51 64 0.04 0.14 Step 890 of 2080 0.51 64 0.07 0.18 Step 894 of 2080 0.51 64 0.04 0.15 Step 898 of 2080 0.51 64 0.04 0.15 Step 902 of 2080 0.51 64 0.05 0.14 Step 906 of 2080 0.51 64 0.04 0.14 Step 910 of 2080 0.50 64 0.04 0.13 Step 914 of 2080 0.50 64 0.04 0.15 Step 918 of 2080 0.50 64 0.05 0.16 Step 922 of 2080 0.50 64 0.07 0.15 Step 926 of 2080 0.50 64 0.04 0.15 Step 930 of 2080 0.50 64 0.05 0.16 Step 934 of 2080 0.50 64 0.05 0.16 Step 938 of 2080 0.50 64 0.06 0.16 Step 942 of 2080 0.50 64 0.04 0.14 Step 946 of 2080 0.50 64 0.05 0.15 Step 950 of 2080 0.50 64 0.05 0.14 Step 954 of 2080 0.50 64 0.07 0.17 Step 958 of 2080 0.50 64 0.04 0.15 Step 962 of 2080 0.50 64 0.05 0.15 Step 966 of 2080 0.50 64 0.04 0.14 Step 970 of 2080 0.50 64 0.05 0.16 Step 974 of 2080 0.50 64 0.06 0.15 Step 978 of 2080 0.50 64 0.06 0.16 Step 982 of 2080 0.50 64 0.06 0.14 Step 986 of 2080 0.50 64 0.06 0.17 Step 990 of 2080 0.50 64 0.05 0.14 Step 994 of 2080 0.49 64 0.06 0.15 Step 998 of 2080 0.49 64 0.05 0.15 Step 1002 of 2080 0.49 64 0.06 0.16 Step 1006 of 2080 0.49 64 0.06 0.14 Step 1010 of 2080 0.49 64 0.08 0.17 Step 1014 of 2080 0.49 64 0.08 0.20 Step 1018 of 2080 0.49 64 0.05 0.16 Step 1022 of 2080 0.49 64 0.05 0.17 Step 1026 of 2080 0.49 64 0.07 0.15 Step 1030 of 2080 0.49 64 0.05 0.14 Step 1034 of 2080 0.49 64 0.07 0.16 Step 1038 of 2080 0.49 64 0.06 0.17 Step 1042 of 2080 0.49 64 0.06 0.16 Step 1046 of 2080 0.49 64 0.07 0.19 Step 1050 of 2080 0.49 64 0.06 0.19 Step 1054 of 2080 0.49 64 0.05 0.17 Step 1058 of 2080 0.49 64 0.05 0.17 Step 1062 of 2080 0.49 64 0.06 0.18 Step 1066 of 2080 0.49 64 0.06 0.17 Step 1070 of 2080 0.49 64 0.05 0.16 Step 1074 of 2080 0.49 64 0.06 0.16 Step 1078 of 2080 0.48 64 0.04 0.16 Step 1082 of 2080 0.48 64 0.05 0.15 Step 1086 of 2080 0.48 64 0.06 0.18 Step 1090 of 2080 0.48 64 0.04 0.15 Step 1094 of 2080 0.48 64 0.05 0.16 Step 1098 of 2080 0.48 64 0.05 0.17 Step 1102 of 2080 0.48 64 0.05 0.16 Step 1106 of 2080 0.48 64 0.06 0.14 Step 1110 of 2080 0.48 64 0.06 0.15 Step 1114 of 2080 0.48 64 0.06 0.15 Step 1118 of 2080 0.48 64 0.08 0.17 Step 1122 of 2080 0.48 64 0.06 0.17 Step 1126 of 2080 0.48 64 0.08 0.18 Step 1130 of 2080 0.48 64 0.06 0.20 Step 1134 of 2080 0.48 64 0.06 0.15 Step 1138 of 2080 0.48 64 0.05 0.15 Step 1142 of 2080 0.48 64 0.05 0.15 Step 1146 of 2080 0.48 64 0.07 0.16 Step 1150 of 2080 0.48 64 0.03 0.14 Step 1154 of 2080 0.48 64 0.05 0.15 Step 1158 of 2080 0.48 64 0.05 0.15 Step 1162 of 2080 0.48 64 0.06 0.16 Step 1166 of 2080 0.47 64 0.05 0.16 Step 1170 of 2080 0.47 64 0.06 0.17 Step 1174 of 2080 0.47 64 0.05 0.19 Step 1178 of 2080 0.47 64 0.06 0.17 Step 1182 of 2080 0.47 64 0.08 0.19 Step 1186 of 2080 0.47 64 0.06 0.19 Step 1190 of 2080 0.47 64 0.06 0.16 Step 1194 of 2080 0.47 64 0.04 0.19 Step 1198 of 2080 0.47 64 0.03 0.14 Step 1202 of 2080 0.47 64 0.04 0.17 Step 1206 of 2080 0.47 64 0.03 0.14 Step 1210 of 2080 0.47 64 0.07 0.17 Step 1214 of 2080 0.47 64 0.06 0.16 Step 1218 of 2080 0.47 64 0.07 0.17 Step 1222 of 2080 0.47 64 0.04 0.14 Step 1226 of 2080 0.47 64 0.07 0.17 Step 1230 of 2080 0.47 64 0.03 0.13 Step 1234 of 2080 0.47 64 0.04 0.17 Step 1238 of 2080 0.47 64 0.03 0.15 Step 1242 of 2080 0.47 64 0.05 0.17 Step 1246 of 2080 0.47 64 0.05 0.15 Step 1250 of 2080 0.47 64 0.07 0.21 Step 1254 of 2080 0.46 64 0.05 0.14 Step 1258 of 2080 0.46 64 0.07 0.18 Step 1262 of 2080 0.46 64 0.07 0.19 Step 1266 of 2080 0.46 64 0.06 0.15 Step 1270 of 2080 0.46 64 0.06 0.17 Step 1274 of 2080 0.46 64 0.06 0.16 Step 1278 of 2080 0.46 64 0.07 0.19 Step 1282 of 2080 0.46 64 0.07 0.16 Step 1286 of 2080 0.46 64 0.07 0.19 Step 1290 of 2080 0.46 64 0.05 0.17 Step 1294 of 2080 0.46 64 0.05 0.14 Step 1298 of 2080 0.46 64 0.04 0.14 Step 1302 of 2080 0.46 64 0.07 0.15 Step 1306 of 2080 0.46 64 0.05 0.15 Step 1310 of 2080 0.46 64 0.07 0.19 Step 1314 of 2080 0.46 64 0.05 0.15 Step 1318 of 2080 0.46 64 0.07 0.17 Step 1322 of 2080 0.46 64 0.07 0.15 Step 1326 of 2080 0.46 64 0.05 0.12 Step 1330 of 2080 0.46 64 0.05 0.12 Step 1334 of 2080 0.46 64 0.05 0.13 Step 1338 of 2080 0.46 64 0.04 0.12 Step 1342 of 2080 0.45 64 0.04 0.12 Step 1346 of 2080 0.45 64 0.04 0.12 Step 1350 of 2080 0.45 64 0.04 0.12 Step 1354 of 2080 0.45 64 0.04 0.12 Step 1358 of 2080 0.45 64 0.04 0.12 Step 1362 of 2080 0.45 64 0.04 0.12 Step 1366 of 2080 0.45 64 0.04 0.12 Step 1370 of 2080 0.45 64 0.04 0.12 Step 1374 of 2080 0.45 64 0.05 0.13 Step 1378 of 2080 0.45 64 0.04 0.12 Step 1382 of 2080 0.45 64 0.04 0.12 Step 1386 of 2080 0.45 64 0.04 0.12 Step 1390 of 2080 0.45 64 0.04 0.12 Step 1394 of 2080 0.45 64 0.04 0.12 Step 1398 of 2080 0.45 64 0.04 0.12 Step 1402 of 2080 0.45 64 0.04 0.12 Step 1406 of 2080 0.45 64 0.03 0.12 Step 1410 of 2080 0.45 64 0.03 0.12 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.03 0.13 Step 1422 of 2080 0.45 64 0.03 0.12 Step 1426 of 2080 0.45 64 0.03 0.12 Step 1430 of 2080 0.45 64 0.03 0.11 Step 1434 of 2080 0.44 64 0.03 0.12 Step 1438 of 2080 0.44 64 0.03 0.11 Step 1442 of 2080 0.44 64 0.03 0.11 Step 1446 of 2080 0.44 64 0.02 0.12 Step 1450 of 2080 0.44 64 0.03 0.12 Step 1454 of 2080 0.44 64 0.04 0.13 Step 1458 of 2080 0.44 64 0.03 0.12 Step 1462 of 2080 0.44 64 0.05 0.13 Step 1466 of 2080 0.44 64 0.03 0.12 Step 1470 of 2080 0.44 64 0.04 0.12 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.03 0.12 Step 1482 of 2080 0.44 64 0.04 0.12 Step 1486 of 2080 0.44 64 0.05 0.13 Step 1490 of 2080 0.44 64 0.03 0.11 Step 1494 of 2080 0.44 64 0.03 0.11 Step 1498 of 2080 0.44 64 0.03 0.11 Step 1502 of 2080 0.44 64 0.03 0.12 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.05 0.13 Step 1514 of 2080 0.44 64 0.04 0.12 Step 1518 of 2080 0.44 64 0.03 0.11 Step 1522 of 2080 0.44 64 0.03 0.12 Step 1526 of 2080 0.43 64 0.03 0.12 Step 1530 of 2080 0.43 64 0.04 0.12 Step 1534 of 2080 0.43 64 0.03 0.11 Step 1538 of 2080 0.43 64 0.04 0.12 Step 1542 of 2080 0.43 64 0.03 0.12 Step 1546 of 2080 0.43 64 0.04 0.12 Step 1550 of 2080 0.43 64 0.05 0.14 Step 1554 of 2080 0.43 64 0.04 0.13 Step 1558 of 2080 0.43 64 0.03 0.11 Step 1562 of 2080 0.43 64 0.03 0.12 Step 1566 of 2080 0.43 64 0.03 0.11 Step 1570 of 2080 0.43 64 0.03 0.11 Step 1574 of 2080 0.43 64 0.03 0.11 Step 1578 of 2080 0.43 64 0.03 0.12 Step 1582 of 2080 0.43 64 0.03 0.11 Step 1586 of 2080 0.43 64 0.04 0.12 Step 1590 of 2080 0.43 64 0.03 0.11 Step 1594 of 2080 0.43 64 0.03 0.11 Step 1598 of 2080 0.43 64 0.03 0.11 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.11 Step 1610 of 2080 0.43 64 0.03 0.11 Step 1614 of 2080 0.43 64 0.03 0.11 Step 1618 of 2080 0.42 64 0.03 0.11 Step 1622 of 2080 0.42 64 0.03 0.11 Step 1626 of 2080 0.42 64 0.03 0.11 Step 1630 of 2080 0.42 64 0.03 0.12 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.03 0.11 Step 1642 of 2080 0.42 64 0.03 0.11 Step 1646 of 2080 0.42 64 0.03 0.11 Step 1650 of 2080 0.42 64 0.03 0.11 Step 1654 of 2080 0.42 64 0.03 0.11 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.03 0.12 Step 1674 of 2080 0.42 64 0.03 0.12 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.13 Step 1686 of 2080 0.42 64 0.03 0.13 Step 1690 of 2080 0.42 64 0.03 0.13 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.03 0.12 Step 1702 of 2080 0.42 64 0.04 0.13 Step 1706 of 2080 0.42 64 0.04 0.15 Step 1710 of 2080 0.41 64 0.03 0.15 Step 1714 of 2080 0.41 64 0.03 0.15 Step 1718 of 2080 0.41 64 0.03 0.14 Step 1722 of 2080 0.41 64 0.03 0.14 Step 1726 of 2080 0.41 64 0.03 0.14 Step 1730 of 2080 0.41 64 0.03 0.13 Step 1734 of 2080 0.41 64 0.03 0.13 Step 1738 of 2080 0.41 64 0.04 0.13 Step 1742 of 2080 0.41 64 0.04 0.13 Step 1746 of 2080 0.41 64 0.03 0.13 Step 1750 of 2080 0.41 64 0.03 0.12 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.13 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.13 Step 1770 of 2080 0.41 64 0.03 0.12 Step 1774 of 2080 0.41 64 0.03 0.13 Step 1778 of 2080 0.41 64 0.03 0.14 Step 1782 of 2080 0.41 64 0.03 0.14 Step 1786 of 2080 0.41 64 0.03 0.13 Step 1790 of 2080 0.41 64 0.03 0.13 Step 1794 of 2080 0.41 64 0.04 0.13 Step 1798 of 2080 0.41 64 0.04 0.13 Step 1802 of 2080 0.41 64 0.04 0.13 Step 1806 of 2080 0.40 64 0.04 0.14 Step 1810 of 2080 0.40 64 0.04 0.13 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.16 Step 1822 of 2080 0.40 64 0.04 0.13 Step 1826 of 2080 0.40 64 0.04 0.13 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.04 0.13 Step 1838 of 2080 0.40 64 0.03 0.13 Step 1842 of 2080 0.40 64 0.03 0.11 Step 1846 of 2080 0.40 64 0.04 0.12 Step 1850 of 2080 0.40 64 0.04 0.12 Step 1854 of 2080 0.40 64 0.04 0.12 Step 1858 of 2080 0.40 64 0.04 0.12 Step 1862 of 2080 0.40 64 0.04 0.12 Step 1866 of 2080 0.40 64 0.04 0.12 Step 1870 of 2080 0.40 64 0.04 0.12 Step 1874 of 2080 0.40 64 0.04 0.12 Step 1878 of 2080 0.40 64 0.05 0.12 Step 1882 of 2080 0.40 64 0.05 0.12 Step 1886 of 2080 0.40 64 0.04 0.11 Step 1890 of 2080 0.40 64 0.04 0.12 Step 1894 of 2080 0.40 64 0.04 0.12 Step 1898 of 2080 0.40 64 0.04 0.12 Step 1902 of 2080 0.40 64 0.04 0.12 Step 1906 of 2080 0.39 64 0.04 0.12 Step 1910 of 2080 0.39 64 0.04 0.12 Step 1914 of 2080 0.39 64 0.05 0.15 Step 1918 of 2080 0.39 64 0.05 0.15 Step 1922 of 2080 0.39 64 0.04 0.14 Step 1926 of 2080 0.39 64 0.04 0.13 Step 1930 of 2080 0.39 64 0.04 0.13 Step 1934 of 2080 0.39 64 0.05 0.14 Step 1938 of 2080 0.39 64 0.03 0.13 Step 1942 of 2080 0.39 64 0.03 0.12 Step 1946 of 2080 0.39 64 0.03 0.13 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.13 Step 1958 of 2080 0.39 64 0.03 0.11 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.04 0.11 Step 1970 of 2080 0.39 64 0.04 0.11 Step 1974 of 2080 0.39 64 0.04 0.12 Step 1978 of 2080 0.39 64 0.04 0.12 Step 1982 of 2080 0.39 64 0.03 0.13 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.02 0.11 Step 1994 of 2080 0.39 64 0.02 0.11 Step 1998 of 2080 0.39 64 0.02 0.11 Step 2002 of 2080 0.39 64 0.03 0.11 Step 2006 of 2080 0.38 64 0.02 0.11 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.13 Step 2018 of 2080 0.38 64 0.04 0.13 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.03 0.11 Step 2030 of 2080 0.38 64 0.03 0.11 Step 2034 of 2080 0.38 64 0.03 0.11 Step 2038 of 2080 0.38 64 0.03 0.11 Step 2042 of 2080 0.38 64 0.03 0.11 Step 2046 of 2080 0.38 32 0.01 0.05 Step 2050 of 2080 0.38 32 0.02 0.07 Step 2054 of 2080 0.38 32 0.02 0.07 Step 2058 of 2080 0.38 32 0.01 0.06 Step 2062 of 2080 0.38 32 0.02 0.07 Step 2066 of 2080 0.38 32 0.02 0.07 Step 2070 of 2080 0.38 32 0.02 0.07 Step 2074 of 2080 0.38 32 0.02 0.07 Step 2078 of 2080 0.38 32 0.02 0.07 ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.56 .0004 1 0.93 1.50 .0005 1 0.93 1.56 .0006 1 0.93 1.50 .0007 1 0.93 1.60 .0008 1 0.93 1.64 .0009 2 0.93 1.71 .0010 1 0.93 2.01 .0011 2 0.93 1.71 .0012 1 0.93 1.77 .0013 1 0.93 1.74 .0014 1 0.93 1.68 .0015 1 0.93 1.75 .0016 1 0.93 2.02 .0017 1 0.93 1.83 .0018 1 0.93 1.89 .0019 1 0.93 1.80 .0020 1 0.93 1.77 .0021 1 0.93 2.01 .0022 1 0.93 1.80 .0023 1 0.93 1.89 .0024 1 0.93 1.97 .0025 1 0.93 1.96 .0026 1 0.93 1.95 .0027 1 0.93 1.95 .0028 2 0.93 2.15 .0029 2 0.93 1.98 .0030 3 0.93 2.09 .0031 1 0.93 2.14 .0032 1 0.93 2.14 .0033 1 0.93 2.05 .0034 1 0.93 2.23 .0035 1 0.94 2.35 .0036 1 0.94 2.47 .0037 1 0.94 2.16 .0038 1 0.94 2.16 .0039 1 0.94 2.23 .0040 1 0.94 2.27 .0041 1 0.94 2.19 .0042 1 0.94 2.17 .0043 1 0.94 2.22 .0044 1 0.94 2.18 .0045 1 0.94 2.18 .0046 2 0.94 2.14 .0047 2 0.94 2.31 .0048 2 0.94 2.22 .0049 1 0.94 2.09 .0050 1 0.94 2.13 .0051 1 0.94 2.17 .0052 1 0.94 2.34 .0053 1 0.94 2.09 .0054 1 0.94 2.29 .0055 1 0.94 2.24 .0056 1 0.94 2.41 .0057 1 0.94 2.35 .0058 1 0.94 2.29 .0059 1 0.94 2.27 .0060 1 0.94 2.35 .0061 1 0.94 2.38 .0062 1 0.94 2.51 .0063 1 0.94 2.22 .0064 1 0.94 2.21 .0065 1 0.94 2.12 .0066 1 0.94 2.27 .0067 1 0.94 2.16 .0068 3 0.94 2.12 .0069 1 0.94 2.87 .0070 1 0.94 2.27 .0071 1 0.94 2.29 .0072 1 0.94 2.29 .0073 1 0.94 2.38 .0074 1 0.94 2.26 .0075 1 0.94 2.22 .0076 1 0.94 2.19 .0077 1 0.94 2.44 .0078 1 0.94 2.43 .0079 1 0.94 2.28 .0080 1 0.94 2.37 .0081 1 0.94 2.45 .0082 2 0.94 2.19 .0083 1 0.94 2.25 .0084 1 0.94 2.16 .0085 1 0.94 2.24 .0086 1 0.94 2.16 .0087 1 0.94 2.25 .0088 1 0.94 2.22 .0089 1 0.94 2.24 .0090 1 0.94 2.30 .0091 1 0.94 2.29 .0092 1 0.94 2.57 .0093 1 0.94 2.66 .0094 2 0.94 2.34 .0095 1 0.95 2.43 .0096 1 0.95 2.73 .0097 2 0.95 2.51 .0098 2 0.95 2.35 .0099 2 0.95 2.31 .0100 3 0.95 2.34 .0101 2 0.95 2.37 .0102 1 0.95 2.34 .0103 1 0.95 2.32 .0104 1 0.95 2.36 .0105 1 0.95 2.25 .0106 1 0.95 2.32 .0107 1 0.95 2.24 .0108 1 0.95 2.27 .0109 1 0.95 2.34 .0110 1 0.95 2.23 .0111 1 0.95 2.18 .0112 1 0.95 2.28 .0113 1 0.95 2.41 .0114 3 0.95 2.21 .0115 3 0.95 2.28 .0116 1 0.95 2.28 .0117 1 0.95 2.23 .0118 1 0.95 2.28 .0119 1 0.95 2.25 .0120 1 0.95 2.21 .0121 1 0.95 2.38 .0122 1 0.95 2.49 .0123 1 0.95 2.18 .0124 1 0.95 2.18 .0125 1 0.95 2.25 .0126 1 0.95 2.18 .0127 1 0.95 2.16 .0128 1 0.95 2.20 .0129 2 0.95 2.37 .0130 2 0.95 2.40 .0131 1 0.95 2.33 .0132 1 0.95 2.53 .0133 1 0.95 2.06 .0134 1 0.95 2.06 .0135 1 0.95 2.15 .0136 1 0.95 2.13 .0137 1 0.95 2.11 .0138 1 0.95 2.17 .0139 1 0.95 2.19 .0140 1 0.95 2.09 .0141 1 0.95 2.28 .0142 1 0.95 2.15 .0143 1 0.95 2.28 .0144 1 0.95 2.19 .0145 1 0.95 2.08 .0146 1 0.95 2.27 .0147 1 0.95 2.11 .0148 1 0.95 2.19 .0149 1 0.95 2.12 .0150 1 0.95 2.14 .0151 1 0.95 2.02 .0152 1 0.95 2.11 .0153 1 0.96 2.23 .0154 1 0.96 2.14 .0155 1 0.96 2.19 .0156 1 0.96 2.19 .0157 1 0.96 2.15 .0158 1 0.96 2.17 .0159 1 0.96 2.13 .0160 1 0.96 2.22 .0161 1 0.96 2.10 .0162 1 0.96 2.19 .0163 1 0.96 2.24 .0164 1 0.96 2.14 .0165 2 0.96 2.20 .0166 2 0.96 2.28 .0167 1 0.96 2.27 .0168 1 0.96 2.17 .0169 1 0.96 2.17 .0170 1 0.96 2.16 .0171 1 0.96 2.24 .0172 1 0.96 2.18 .0173 1 0.96 2.13 .0174 1 0.96 2.24 .0175 2 0.96 2.36 .0176 2 0.96 2.21 .0177 1 0.96 2.21 .0178 1 0.96 2.34 .0179 1 0.96 2.19 .0180 1 0.96 2.52 .0181 1 0.96 2.30 .0182 1 0.96 2.29 .0183 1 0.96 2.25 .0184 1 0.96 2.40 .0185 1 0.96 2.26 .0186 1 0.96 2.36 .0187 3 0.96 2.22 .0188 1 0.96 2.39 .0189 1 0.96 2.28 .0190 1 0.96 2.38 .0191 1 0.96 2.18 .0192 1 0.96 2.24 .0193 1 0.96 2.33 .0194 1 0.96 2.41 .0195 1 0.96 2.29 .0196 1 0.96 2.26 .0197 1 0.96 2.36 .0198 1 0.96 2.31 .0199 1 0.96 2.25 .0200 1 0.96 2.36 .0201 1 0.96 2.28 .0202 1 0.96 2.36 .0203 1 0.96 2.49 .0204 1 0.96 2.43 .0205 1 0.96 2.36 .0206 1 0.96 2.54 .0207 1 0.96 2.60 .0208 1 0.96 2.56 .0209 1 0.96 2.29 .0210 1 0.96 2.47 .0211 1 0.96 2.39 .0212 1 0.96 2.39 .0213 1 0.96 2.45 .0214 1 0.96 2.48 .0215 1 0.96 2.55 .0216 1 0.96 2.57 .0217 2 0.96 2.50 .0218 3 0.96 2.67 .0219 1 0.96 3.04 .0220 1 0.96 2.68 .0221 1 0.96 2.79 .0222 1 0.96 2.71 .0223 1 0.96 2.66 .0224 1 0.96 3.17 .0225 1 0.96 2.92 .0226 1 0.96 2.77 .0227 1 0.97 2.84 .0228 1 0.97 2.87 .0229 1 0.97 2.70 .0230 1 0.97 2.90 .0231 1 0.97 2.85 .0232 2 0.97 3.01 .0233 1 0.97 3.17 .0234 1 0.97 2.96 .0235 1 0.97 2.95 .0236 1 0.97 2.98 .0237 1 0.97 3.03 .0238 1 0.97 2.88 .0239 1 0.97 3.05 .0240 1 0.97 3.10 .0241 1 0.97 3.27 .0242 1 0.97 3.13 .0243 1 0.97 3.30 .0244 1 0.97 3.11 .0245 1 0.97 3.19 .0246 1 0.97 3.16 .0247 1 0.97 3.22 .0248 2 0.97 3.28 .0249 1 0.97 3.28 .0250 1 0.97 3.42 .0251 1 0.97 3.51 .0252 1 0.97 3.61 .0253 1 0.97 4.03 .0254 1 0.97 3.44 .0255 1 0.97 3.32 .0256 1 0.97 3.40 .0257 1 0.97 3.57 .0258 1 0.97 3.38 .0259 1 0.97 3.62 .0260 1 0.97 3.62 .0261 1 0.97 3.45 .0262 1 0.97 3.68 .0263 1 0.97 3.56 .0264 1 0.97 3.58 .0265 1 0.97 3.64 .0266 1 0.97 3.72 .0267 1 0.97 3.59 .0268 1 0.97 3.60 .0269 1 0.97 3.63 .0270 1 0.97 3.67 .0271 1 0.97 3.73 .0272 1 0.97 3.61 .0273 1 0.97 3.89 .0274 1 0.97 3.92 .0275 1 0.97 3.74 .0276 1 0.97 3.85 .0277 1 0.97 3.81 .0278 1 0.97 3.90 .0279 1 0.97 3.73 .0280 1 0.97 3.78 .0281 1 0.97 3.97 .0282 1 0.97 3.77 .0283 1 0.97 3.77 .0284 1 0.97 4.35 .0285 1 0.97 4.11 .0286 1 0.97 4.14 .0287 1 0.97 4.04 .0288 1 0.97 4.09 .0289 1 0.97 3.97 .0290 1 0.97 4.25 .0291 1 0.97 4.06 .0292 1 0.97 4.27 .0293 1 0.97 4.20 .0294 1 0.97 4.22 .0295 1 0.97 4.30 .0296 1 0.97 4.27 .0297 1 0.97 4.38 .0298 1 0.97 4.10 .0299 1 0.97 4.35 .0300 1 0.97 4.41 .0301 1 0.97 4.36 .0302 1 0.97 4.51 .0303 2 0.97 4.56 .0304 1 0.97 4.56 .0305 1 0.97 4.50 .0306 1 0.97 4.40 .0307 1 0.97 4.56 .0308 1 0.97 4.53 .0309 1 0.97 4.71 .0310 1 0.97 4.76 .0311 1 0.97 4.75 .0312 1 0.97 4.95 .0313 1 0.97 4.83 .0314 1 0.97 4.75 .0315 1 0.97 4.81 .0316 1 0.97 4.87 .0317 1 0.97 4.75 .0318 1 0.97 4.75 .0319 1 0.97 4.94 .0320 1 0.97 4.90 .0321 1 0.97 4.87 .0322 1 0.97 5.07 .0323 1 0.97 5.00 .0324 1 0.97 4.78 .0325 1 0.97 5.06 .0326 1 0.97 5.15 .0327 1 0.97 5.03 .0328 1 0.97 5.02 .0329 1 0.97 5.17 .0330 1 0.97 5.33 .0331 1 0.97 4.99 .0332 1 0.97 4.92 .0333 1 0.97 5.17 .0334 1 0.97 5.07 .0335 1 0.97 4.98 .0336 1 0.97 5.12 .0337 1 0.97 5.24 .0338 1 0.97 5.11 .0339 1 0.97 5.27 .0340 1 0.97 5.22 .0341 1 0.97 5.47 .0342 1 0.97 5.38 .0343 1 0.97 5.27 .0344 1 0.98 5.44 .0345 1 0.98 5.22 .0346 1 0.98 5.46 .0347 1 0.98 5.59 .0348 1 0.98 5.46 .0349 1 0.98 5.67 .0350 1 0.98 5.42 .0351 1 0.98 5.61 .0352 1 0.98 5.43 .0353 1 0.98 5.47 .0354 1 0.98 5.59 .0355 1 0.98 5.63 .0356 1 0.98 5.93 .0357 1 0.98 5.46 .0358 1 0.98 5.53 .0359 1 0.98 5.73 .0360 1 0.98 5.52 .0361 1 0.98 5.74 .0362 1 0.98 6.61 .0363 1 0.98 5.99 .0364 1 0.98 5.58 .0365 1 0.98 5.51 .0366 1 0.98 5.70 .0367 1 0.98 6.02 .0368 2 0.98 5.79 .0369 2 0.98 6.18 .0370 1 0.98 6.16 .0371 1 0.98 6.22 .0372 3 0.98 6.24 .0373 1 0.98 5.97 .0374 1 0.98 5.93 .0375 1 0.98 6.02 .0376 1 0.98 5.93 .0377 1 0.98 6.05 .0378 1 0.98 5.80 .0379 1 0.98 6.16 .0380 1 0.98 5.97 .0381 1 0.98 5.98 .0382 1 0.98 6.18 .0383 1 0.98 5.85 .0384 1 0.98 6.31 .0385 1 0.98 6.29 .0386 1 0.98 6.14 .0387 1 0.98 6.17 .0388 1 0.98 6.30 .0389 1 0.98 6.12 .0390 1 0.98 6.25 .0391 1 0.98 6.15 .0392 1 0.98 6.18 .0393 1 0.98 6.28 .0394 1 0.98 6.37 .0395 1 0.98 6.26 .0396 1 0.98 6.20 .0397 1 0.98 6.36 .0398 1 0.98 6.37 .0399 1 0.98 6.24 .0400 1 0.98 6.52 .0401 1 0.98 6.47 .0402 1 0.98 6.26 .0403 1 0.98 6.46 .0404 1 0.98 6.59 .0405 1 0.98 6.25 .0406 1 0.98 6.70 .0407 1 0.98 6.46 .0408 1 0.98 6.32 .0409 1 0.98 6.35 .0410 1 0.98 6.38 .0411 1 0.98 6.53 .0412 1 0.98 6.56 .0413 1 0.98 6.72 .0414 1 0.98 6.58 .0415 1 0.98 6.42 .0416 1 0.98 6.46 .0417 1 0.98 6.43 .0418 1 0.98 6.97 .0419 1 0.98 6.66 .0420 1 0.98 6.83 .0421 1 0.98 6.84 .0422 1 0.98 6.93 .0423 1 0.98 6.72 .0424 1 0.98 6.87 .0425 1 0.98 6.92 .0426 1 0.98 6.84 .0427 1 0.98 6.67 .0428 1 0.98 6.87 .0429 1 0.98 6.72 .0430 1 0.98 6.70 .0431 1 0.98 6.72 .0432 1 0.98 6.92 .0433 1 0.98 6.95 .0434 1 0.98 6.84 .0435 1 0.98 7.02 .0436 1 0.98 6.94 .0437 1 0.98 6.87 .0438 1 0.98 6.96 .0439 1 0.98 7.20 .0440 1 0.98 7.16 .0441 1 0.98 7.02 .0442 1 0.98 6.94 .0443 1 0.98 7.02 .0444 1 0.98 7.09 .0445 1 0.98 7.00 .0446 1 0.98 7.11 .0447 1 0.98 7.12 .0448 1 0.98 7.07 .0449 1 0.98 6.95 .0450 1 0.98 7.17 .0451 1 0.98 7.03 .0452 1 0.98 7.23 .0453 1 0.98 7.03 .0454 1 0.98 7.20 .0455 1 0.98 7.52 .0456 1 0.98 7.13 .0457 1 0.98 7.16 .0458 1 0.98 7.03 .0459 1 0.98 7.28 .0460 1 0.98 7.27 .0461 1 0.98 7.39 .0462 1 0.98 7.17 .0463 1 0.98 7.26 .0464 1 0.98 7.08 .0465 1 0.98 7.19 .0466 1 0.98 7.29 .0467 1 0.98 7.32 .0468 1 0.98 7.02 .0469 1 0.98 7.33 .0470 1 0.98 7.06 .0471 1 0.98 7.28 .0472 1 0.98 7.03 .0473 1 0.98 7.38 .0474 1 0.98 7.50 .0475 1 0.98 7.49 .0476 1 0.98 7.83 .0477 1 0.98 7.01 .0478 1 0.98 7.27 .0479 1 0.98 7.24 .0480 1 0.98 7.37 .0481 1 0.98 7.40 .0482 1 0.98 7.09 .0483 1 0.98 7.24 .0484 1 0.98 7.45 .0485 2 0.98 7.96 .0486 1 0.98 7.95 .0487 1 0.98 7.41 .0488 1 0.98 7.32 .0489 1 0.98 7.37 .0490 1 0.98 7.33 .0491 1 0.98 7.09 .0492 1 0.98 7.29 .0493 1 0.98 7.37 .0494 1 0.98 7.20 .0495 1 0.98 7.43 .0496 1 0.98 8.04 .0497 1 0.98 7.33 .0498 1 0.98 7.13 .0499 1 0.98 7.22 .0500 1 0.98 7.53 .0501 1 0.98 7.34 .0502 1 0.98 7.30 .0503 1 0.98 7.18 .0504 1 0.98 7.41 .0505 1 0.98 7.28 .0506 1 0.98 7.28 .0507 1 0.98 7.26 .0508 1 0.98 7.24 .0509 1 0.98 7.42 .0510 1 0.98 7.22 .0511 1 0.98 7.21 .0512 1 0.98 7.26 .0513 1 0.98 7.27 .0514 1 0.98 7.24 .0515 1 0.98 7.32 .0516 1 0.98 7.15 .0517 1 0.98 7.15 .0518 1 0.98 7.35 .0519 1 0.98 7.20 .0520 1 0.98 7.18 .0521 1 0.98 7.40 .0522 1 0.98 7.09 .0523 1 0.98 7.18 .0524 1 0.98 7.25 .0525 1 0.98 6.98 .0526 1 0.98 7.27 .0527 1 0.98 7.35 .0528 1 0.98 7.10 .0529 1 0.98 7.08 .0530 1 0.98 7.03 .0531 1 0.98 7.19 .0532 1 0.98 7.13 .0533 1 0.98 6.99 .0534 1 0.98 7.02 .0535 1 0.98 6.83 .0536 1 0.98 7.16 .0537 1 0.98 6.91 .0538 1 0.98 7.10 .0539 3 0.98 6.87 .0540 3 0.98 7.10 .0541 1 0.98 6.93 .0542 1 0.98 7.20 .0543 1 0.98 7.12 .0544 1 0.98 7.17 .0545 1 0.98 6.96 .0546 1 0.98 6.75 .0547 1 0.98 6.98 .0548 1 0.98 6.84 .0549 1 0.98 6.91 .0550 2 0.98 7.23 .0551 3 0.98 7.06 .0552 1 0.98 6.82 .0553 1 0.98 6.87 .0554 1 0.98 6.85 .0555 1 0.98 7.00 .0556 1 0.98 6.70 .0557 1 0.98 7.13 .0558 1 0.98 6.83 .0559 1 0.98 6.91 .0560 1 0.98 6.68 .0561 1 0.98 6.71 .0562 1 0.98 6.80 .0563 1 0.98 6.77 .0564 1 0.98 6.70 .0565 1 0.98 6.91 .0566 1 0.98 6.97 .0567 1 0.98 7.02 .0568 1 0.98 6.77 .0569 1 0.98 6.70 .0570 1 0.98 6.73 .0571 1 0.98 6.59 .0572 1 0.98 7.02 .0573 1 0.98 6.79 .0574 1 0.98 6.65 .0575 1 0.98 6.68 .0576 1 0.98 6.59 .0577 1 0.98 6.94 .0578 1 0.98 6.62 .0579 1 0.98 6.83 .0580 1 0.98 6.81 .0581 1 0.98 6.42 .0582 1 0.98 6.60 .0583 1 0.98 6.82 .0584 1 0.98 6.62 .0585 1 0.98 7.11 .0586 1 0.98 6.93 .0587 1 0.98 6.56 .0588 1 0.98 6.72 .0589 1 0.98 6.72 .0590 1 0.98 6.57 .0591 1 0.98 6.61 .0592 1 0.98 6.57 .0593 1 0.98 6.63 .0594 1 0.98 6.43 .0595 1 0.98 6.60 .0596 1 0.98 6.68 .0597 1 0.98 6.50 .0598 1 0.98 6.52 .0599 1 0.98 6.73 .0600 1 0.98 6.79 .0601 1 0.98 6.44 .0602 1 0.98 6.48 .0603 1 0.98 6.33 .0604 1 0.98 6.61 .0605 1 0.98 6.28 .0606 1 0.98 6.43 .0607 1 0.98 6.49 .0608 1 0.98 6.44 .0609 1 0.98 6.33 .0610 1 0.98 6.30 .0611 1 0.98 6.48 .0612 1 0.98 6.27 .0613 1 0.98 6.36 .0614 1 0.98 6.34 .0615 1 0.98 6.39 .0616 1 0.98 6.42 .0617 1 0.98 6.09 .0618 1 0.98 6.25 .0619 1 0.98 6.13 .0620 1 0.98 6.24 .0621 1 0.98 6.14 .0622 1 0.98 6.12 .0623 1 0.98 6.15 .0624 1 0.98 6.12 .0625 1 0.98 5.93 .0626 1 0.98 6.44 .0627 1 0.98 6.59 .0628 1 0.98 6.47 .0629 1 0.98 6.26 .0630 1 0.98 6.11 .0631 1 0.98 6.19 .0632 1 0.98 6.33 .0633 1 0.98 6.09 .0634 1 0.98 5.97 .0635 1 0.98 6.15 .0636 1 0.98 5.96 .0637 1 0.98 6.20 .0638 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6.37 .0694 2 0.98 6.31 .0695 1 0.98 6.34 .0696 1 0.98 6.33 .0697 1 0.98 6.07 .0698 1 0.98 6.14 .0699 1 0.98 6.37 .0700 1 0.98 6.12 .0701 1 0.98 6.07 .0702 1 0.98 6.12 .0703 1 0.98 6.07 .0704 1 0.98 6.17 .0705 1 0.98 6.08 .0706 1 0.98 6.44 .0707 1 0.98 6.11 .0708 1 0.98 6.20 .0709 1 0.98 6.16 .0710 1 0.98 6.38 .0711 1 0.98 6.38 .0712 1 0.98 6.03 .0713 1 0.98 6.13 .0714 1 0.98 6.28 .0715 1 0.98 6.18 .0716 1 0.98 6.16 .0717 1 0.98 6.00 .0718 1 0.98 6.05 .0719 1 0.98 6.31 .0720 1 0.98 6.03 .0721 1 0.98 6.38 .0722 1 0.98 6.24 .0723 1 0.98 6.25 .0724 1 0.98 6.14 .0725 2 0.98 7.29 .0726 1 0.98 6.39 .0727 1 0.98 6.29 .0728 1 0.98 6.59 .0729 1 0.98 6.37 .0730 1 0.98 6.33 .0731 1 0.98 6.26 .0732 1 0.98 6.24 .0733 1 0.98 6.23 .0734 1 0.98 6.45 .0735 1 0.98 6.25 .0736 1 0.98 6.08 .0737 1 0.98 6.59 .0738 1 0.98 6.24 .0739 1 0.98 6.24 .0740 1 0.98 6.02 .0741 1 0.98 7.09 .0742 1 0.98 6.51 .0743 1 0.98 6.36 .0744 1 0.98 6.34 .0745 1 0.98 6.36 .0746 1 0.98 6.48 .0747 1 0.98 6.49 .0748 1 0.98 6.73 .0749 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2.15 .1915 2 0.98 2.26 .1916 2 0.98 2.38 .1917 2 0.98 2.19 .1918 1 0.98 2.15 .1919 1 0.98 2.09 .1920 1 0.98 2.21 .1921 1 0.98 2.03 .1922 1 0.98 2.22 .1923 1 0.98 2.07 .1924 1 0.98 2.21 .1925 1 0.98 2.00 .1926 1 0.98 1.93 .1927 1 0.98 1.96 .1928 3 0.98 2.03 .1929 1 0.98 1.87 .1930 1 0.98 1.95 .1931 1 0.98 2.03 .1932 1 0.98 1.88 .1933 1 0.98 1.90 .1934 1 0.98 1.97 .1935 1 0.98 1.99 .1936 1 0.98 2.05 .1937 1 0.98 1.86 .1938 1 0.98 1.96 .1939 1 0.98 2.01 .1940 1 0.98 2.06 .1941 1 0.98 1.98 .1942 1 0.98 1.94 .1943 1 0.98 1.96 .1944 1 0.98 1.90 .1945 1 0.98 1.83 .1946 1 0.98 1.79 .1947 1 0.98 2.06 .1948 2 0.98 2.20 .1949 1 0.98 1.85 .1950 1 0.98 1.99 .1951 1 0.98 1.89 .1952 1 0.98 1.96 .1953 1 0.98 2.00 .1954 1 0.98 1.85 .1955 1 0.98 2.20 .1956 1 0.98 1.93 .1957 1 0.98 1.90 .1958 1 0.98 1.91 .1959 1 0.98 1.90 .1960 1 0.98 1.99 .1961 2 0.98 2.01 .1962 1 0.98 1.90 .1963 2 0.98 1.91 .1964 2 0.98 2.03 .1965 1 0.98 1.90 .1966 1 0.98 1.99 .1967 1 0.98 1.94 .1968 1 0.98 1.99 .1969 1 0.98 1.93 .1970 1 0.98 1.92 .1971 1 0.98 1.91 .1972 1 0.98 1.93 .1973 1 0.98 1.99 .1974 2 0.98 1.90 .1975 1 0.98 1.86 .1976 1 0.98 1.86 .1977 1 0.98 2.02 .1978 1 0.98 2.84 .1979 1 0.98 1.87 .1980 1 0.98 1.90 .1981 1 0.98 1.82 .1982 1 0.98 1.84 .1983 1 0.98 1.84 .1984 1 0.98 1.79 .1985 1 0.98 1.83 .1986 1 0.98 2.11 .1987 1 0.98 1.85 .1988 1 0.98 1.83 .1989 1 0.98 1.81 .1990 1 0.98 1.71 .1991 1 0.98 1.85 .1992 1 0.98 1.86 .1993 1 0.98 1.76 .1994 1 0.98 1.74 .1995 1 0.98 1.92 .1996 3 0.98 1.92 .1997 1 0.98 1.82 .1998 1 0.98 1.88 .1999 2 0.98 1.98 .2000 1 0.98 1.63 .2001 1 0.98 1.73 .2002 1 0.98 1.79 .2003 1 0.98 1.80 .2004 1 0.98 1.73 .2005 1 0.98 1.79 .2006 1 0.98 1.72 .2007 1 0.98 1.73 .2008 1 0.98 1.70 .2009 1 0.98 1.70 .2010 1 0.98 1.79 .2011 1 0.98 1.75 .2012 1 0.98 1.69 .2013 1 0.98 1.72 .2014 1 0.98 1.77 .2015 1 0.98 1.66 .2016 1 0.98 1.58 .2017 1 0.98 1.65 .2018 1 0.98 1.55 .2019 1 0.98 1.66 .2020 1 0.98 1.74 .2021 1 0.98 1.64 .2022 2 0.98 1.97 .2023 1 0.98 1.73 .2024 2 0.98 1.73 .2025 2 0.98 1.70 .2026 1 0.98 1.69 .2027 1 0.98 1.87 .2028 1 0.98 1.67 .2029 1 0.98 1.53 .2030 1 0.98 1.67 .2031 1 0.98 1.62 .2032 1 0.98 1.60 .2033 1 0.98 1.68 .2034 1 0.98 1.70 .2035 1 0.98 1.59 .2036 1 0.97 1.64 .2037 1 0.97 1.62 .2038 1 0.97 1.65 .2039 1 0.97 1.65 .2040 1 0.97 1.69 .2041 1 0.97 1.67 .2042 2 0.97 1.67 .2043 1 0.97 1.82 .2044 1 0.97 1.86 .2045 3 0.97 2.01 .2046 4 0.97 1.77 .2047 4 0.97 1.62 EXTRACT_IMAGE: b1: masked 133 pixels % Compiled module: MINMAX. SPCALIB: b1: First extraction chi^2 0.00000 13.7074 SPCALIB: b1: Second extraction chi^2 0.00000 9.76158 % Compiled module: FIBERFLAT. % Compiled module: SUPERFLAT. % Compiled module: DJS_MEAN. SUPERFLAT: b1: Creating superflat from 313 fibers % Compiled module: BSPLINE_ITERFIT. % Compiled module: BSPLINE_BKPTS. Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing % Compiled module: CREATE_BSPLINESET. % Compiled module: BSPLINE_FIT. % Compiled module: BSPLINE_ACTION. % Compiled module: INTRV. % Compiled module: BSPLVN. % Compiled module: CHOLESKY_BAND. % Compiled module: CHOLESKY_SOLVE. % Compiled module: BSPLINE_VALU. .0000.0001.0002.0003.0004% Compiled module: BSPLINE_MASKPOINTS. .0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139Lowest breakpoint does not cover lowest x value: changing .0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b1: Number of fiberflat points LE 0 = 8359 SPCALIB: b1: Create fiberflats for flat # 2 of 2 SPCALIB: b1: Flat sdR-b1-00034591.fit paired with arc sdR-b1-00034592.fit SPCALIB: b1: Reading flat sdR-b1-00034591.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.68698 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1202.65 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1183. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.05564 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1027.42 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1011. DN is 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.79 .0004 1 0.93 1.70 .0005 1 0.93 1.82 .0006 1 0.93 1.87 .0007 1 0.93 1.74 .0008 1 0.93 1.75 .0009 1 0.93 1.83 .0010 1 0.93 1.85 .0011 1 0.93 2.09 .0012 1 0.93 1.94 .0013 1 0.93 2.11 .0014 1 0.93 1.97 .0015 1 0.93 2.09 .0016 1 0.93 2.03 .0017 1 0.93 2.13 .0018 1 0.93 2.12 .0019 1 0.93 2.11 .0020 1 0.93 2.17 .0021 1 0.94 2.29 .0022 1 0.94 2.46 .0023 1 0.94 2.39 .0024 2 0.94 2.35 .0025 1 0.94 2.24 .0026 1 0.94 2.30 .0027 1 0.94 2.28 .0028 1 0.94 2.39 .0029 1 0.94 2.40 .0030 1 0.94 2.80 .0031 1 0.94 2.42 .0032 1 0.94 2.32 .0033 1 0.94 2.56 .0034 3 0.94 2.35 .0035 4 0.94 2.57 .0036 1 0.94 2.63 .0037 2 0.94 2.63 .0038 1 0.94 2.59 .0039 1 0.94 2.63 .0040 1 0.94 2.61 .0041 1 0.94 2.43 .0042 1 0.94 2.59 .0043 1 0.94 2.70 .0044 1 0.94 2.63 .0045 1 0.94 2.76 .0046 1 0.94 2.76 .0047 1 0.94 2.58 .0048 1 0.94 2.67 .0049 1 0.94 2.67 .0050 1 0.94 2.72 .0051 1 0.94 2.70 .0052 1 0.94 2.61 .0053 1 0.94 2.72 .0054 1 0.94 2.82 .0055 1 0.94 2.76 .0056 2 0.94 2.67 .0057 1 0.94 2.76 .0058 1 0.94 2.81 .0059 1 0.94 2.98 .0060 1 0.94 2.71 .0061 1 0.94 2.66 .0062 1 0.94 2.91 .0063 1 0.94 2.65 .0064 1 0.94 2.65 .0065 1 0.94 2.70 .0066 1 0.94 2.73 .0067 1 0.95 2.61 .0068 1 0.95 2.50 .0069 1 0.95 2.75 .0070 1 0.95 2.76 .0071 1 0.95 2.65 .0072 1 0.95 2.68 .0073 2 0.95 3.12 .0074 1 0.95 2.63 .0075 1 0.95 2.85 .0076 1 0.95 3.17 .0077 1 0.95 2.57 .0078 1 0.95 2.64 .0079 1 0.95 2.56 .0080 1 0.95 2.62 .0081 1 0.95 2.67 .0082 1 0.95 2.64 .0083 1 0.95 2.69 .0084 1 0.95 2.64 .0085 1 0.95 2.48 .0086 1 0.95 2.73 .0087 1 0.95 2.72 .0088 1 0.95 2.73 .0089 1 0.95 2.60 .0090 1 0.95 2.81 .0091 1 0.95 2.80 .0092 1 0.95 2.63 .0093 1 0.95 2.68 .0094 1 0.95 2.58 .0095 1 0.95 2.72 .0096 2 0.95 2.93 .0097 3 0.95 2.66 .0098 1 0.95 2.77 .0099 1 0.95 2.70 .0100 1 0.95 2.63 .0101 1 0.95 2.80 .0102 1 0.95 2.69 .0103 1 0.95 2.76 .0104 1 0.95 2.63 .0105 1 0.95 2.66 .0106 1 0.95 2.71 .0107 1 0.95 2.71 .0108 1 0.95 2.62 .0109 1 0.95 2.60 .0110 1 0.95 2.53 .0111 1 0.95 2.43 .0112 1 0.95 2.71 .0113 1 0.95 2.59 .0114 1 0.95 2.67 .0115 1 0.95 2.55 .0116 1 0.95 2.55 .0117 1 0.95 2.80 .0118 1 0.95 2.53 .0119 1 0.95 2.64 .0120 1 0.95 2.62 .0121 1 0.95 2.70 .0122 1 0.95 2.72 .0123 1 0.95 2.61 .0124 1 0.95 2.54 .0125 1 0.95 2.54 .0126 1 0.96 2.59 .0127 1 0.96 2.51 .0128 1 0.96 2.65 .0129 1 0.96 2.69 .0130 1 0.96 2.64 .0131 1 0.96 2.73 .0132 1 0.96 2.65 .0133 1 0.96 2.70 .0134 1 0.96 2.49 .0135 2 0.96 2.70 .0136 1 0.96 2.58 .0137 1 0.96 2.52 .0138 1 0.96 2.70 .0139 1 0.96 2.51 .0140 1 0.96 2.56 .0141 1 0.96 2.47 .0142 1 0.96 2.66 .0143 1 0.96 2.76 .0144 1 0.96 2.64 .0145 1 0.96 2.64 .0146 1 0.96 2.59 .0147 1 0.96 2.56 .0148 1 0.96 2.70 .0149 1 0.96 2.74 .0150 3 0.96 2.72 .0151 4 0.96 2.66 .0152 1 0.96 2.68 .0153 1 0.96 2.54 .0154 1 0.96 2.68 .0155 1 0.96 2.60 .0156 1 0.96 2.76 .0157 1 0.96 2.61 .0158 1 0.96 2.77 .0159 1 0.96 2.63 .0160 1 0.96 2.58 .0161 1 0.96 2.70 .0162 1 0.96 2.74 .0163 1 0.96 2.57 .0164 1 0.96 2.74 .0165 1 0.96 2.56 .0166 1 0.96 2.70 .0167 1 0.96 2.64 .0168 1 0.96 2.73 .0169 1 0.96 2.81 .0170 1 0.96 2.88 .0171 1 0.96 2.82 .0172 1 0.96 2.82 .0173 1 0.96 2.79 .0174 1 0.96 2.73 .0175 1 0.96 2.61 .0176 1 0.96 2.73 .0177 1 0.96 2.78 .0178 1 0.96 2.65 .0179 1 0.96 2.74 .0180 1 0.96 2.69 .0181 2 0.96 2.73 .0182 1 0.96 2.99 .0183 1 0.96 2.87 .0184 1 0.96 2.68 .0185 1 0.96 3.17 .0186 1 0.96 2.77 .0187 1 0.96 2.78 .0188 1 0.96 2.84 .0189 1 0.96 2.72 .0190 1 0.96 2.90 .0191 1 0.96 2.76 .0192 1 0.96 2.79 .0193 1 0.96 3.01 .0194 1 0.96 2.83 .0195 1 0.96 2.95 .0196 1 0.96 2.77 .0197 1 0.96 2.82 .0198 1 0.96 2.92 .0199 1 0.96 2.94 .0200 1 0.96 2.87 .0201 1 0.96 2.92 .0202 1 0.96 3.22 .0203 1 0.96 2.96 .0204 1 0.96 2.93 .0205 2 0.96 3.15 .0206 1 0.96 2.99 .0207 1 0.96 3.06 .0208 1 0.96 3.04 .0209 2 0.96 3.12 .0210 1 0.96 2.95 .0211 1 0.96 3.13 .0212 1 0.96 3.32 .0213 1 0.96 3.18 .0214 1 0.97 3.19 .0215 1 0.97 3.25 .0216 1 0.97 3.33 .0217 2 0.97 3.09 .0218 1 0.97 3.24 .0219 1 0.97 3.27 .0220 1 0.97 3.35 .0221 1 0.97 3.26 .0222 1 0.97 3.48 .0223 1 0.97 3.34 .0224 1 0.97 3.53 .0225 1 0.97 3.43 .0226 1 0.97 3.62 .0227 1 0.97 3.96 .0228 1 0.97 3.70 .0229 1 0.97 3.44 .0230 1 0.97 3.71 .0231 1 0.97 3.54 .0232 1 0.97 3.87 .0233 1 0.97 3.44 .0234 1 0.97 3.88 .0235 1 0.97 3.58 .0236 1 0.97 3.90 .0237 1 0.97 3.89 .0238 1 0.97 3.83 .0239 3 0.97 3.77 .0240 1 0.97 4.30 .0241 1 0.97 4.01 .0242 1 0.97 3.93 .0243 1 0.97 4.02 .0244 1 0.97 4.09 .0245 1 0.97 4.35 .0246 1 0.97 4.02 .0247 1 0.97 4.11 .0248 1 0.97 4.14 .0249 1 0.97 4.19 .0250 1 0.97 4.14 .0251 1 0.97 4.11 .0252 1 0.97 4.29 .0253 1 0.97 4.28 .0254 1 0.97 4.34 .0255 1 0.97 4.45 .0256 1 0.97 4.32 .0257 1 0.97 4.53 .0258 1 0.97 4.40 .0259 1 0.97 4.40 .0260 1 0.97 4.38 .0261 1 0.97 4.53 .0262 1 0.97 4.49 .0263 1 0.97 4.64 .0264 1 0.97 4.21 .0265 1 0.97 4.61 .0266 1 0.97 4.72 .0267 1 0.97 4.82 .0268 1 0.97 4.66 .0269 1 0.97 4.88 .0270 1 0.97 4.76 .0271 1 0.97 5.20 .0272 1 0.97 4.95 .0273 1 0.97 4.89 .0274 1 0.97 4.83 .0275 1 0.97 4.95 .0276 1 0.97 4.94 .0277 1 0.97 5.04 .0278 1 0.97 5.17 .0279 1 0.97 5.01 .0280 1 0.97 4.99 .0281 1 0.97 4.98 .0282 1 0.97 5.15 .0283 1 0.97 5.05 .0284 1 0.97 5.00 .0285 1 0.97 5.38 .0286 1 0.97 5.20 .0287 1 0.97 5.31 .0288 1 0.97 5.21 .0289 1 0.97 5.40 .0290 1 0.97 5.30 .0291 1 0.97 5.44 .0292 1 0.97 5.53 .0293 1 0.97 5.37 .0294 1 0.97 5.49 .0295 1 0.97 5.30 .0296 1 0.97 5.35 .0297 1 0.97 5.73 .0298 1 0.97 5.60 .0299 1 0.97 5.62 .0300 1 0.97 6.61 .0301 1 0.97 5.79 .0302 1 0.97 5.79 .0303 1 0.97 5.96 .0304 1 0.97 5.79 .0305 1 0.97 5.82 .0306 1 0.97 5.77 .0307 1 0.97 6.01 .0308 1 0.97 6.21 .0309 1 0.97 5.98 .0310 1 0.97 5.91 .0311 1 0.97 5.92 .0312 1 0.97 6.11 .0313 1 0.97 6.26 .0314 1 0.97 6.00 .0315 1 0.97 6.15 .0316 1 0.97 6.16 .0317 2 0.97 6.02 .0318 1 0.97 6.57 .0319 1 0.97 6.40 .0320 1 0.97 6.41 .0321 1 0.97 6.33 .0322 1 0.97 6.27 .0323 1 0.97 6.47 .0324 1 0.97 6.30 .0325 1 0.97 6.59 .0326 1 0.97 6.52 .0327 1 0.97 6.43 .0328 1 0.97 6.52 .0329 1 0.97 6.76 .0330 1 0.97 6.68 .0331 1 0.97 6.91 .0332 1 0.97 6.93 .0333 1 0.97 6.86 .0334 1 0.97 6.55 .0335 1 0.97 6.95 .0336 1 0.97 6.87 .0337 1 0.97 7.01 .0338 1 0.97 7.99 .0339 2 0.97 7.04 .0340 1 0.97 7.23 .0341 1 0.97 6.92 .0342 1 0.97 7.09 .0343 1 0.97 7.08 .0344 1 0.97 7.05 .0345 1 0.97 7.05 .0346 1 0.97 7.25 .0347 1 0.97 7.23 .0348 1 0.97 7.11 .0349 1 0.97 7.27 .0350 1 0.97 7.24 .0351 1 0.97 7.40 .0352 1 0.97 7.62 .0353 1 0.98 7.42 .0354 1 0.98 7.45 .0355 1 0.98 8.04 .0356 1 0.98 7.84 .0357 1 0.98 7.57 .0358 1 0.98 7.57 .0359 1 0.98 7.71 .0360 1 0.98 7.66 .0361 1 0.98 7.89 .0362 1 0.98 7.67 .0363 1 0.98 7.92 .0364 1 0.98 8.01 .0365 1 0.98 8.13 .0366 1 0.98 7.76 .0367 1 0.98 7.86 .0368 1 0.98 7.99 .0369 1 0.98 8.06 .0370 1 0.98 8.06 .0371 1 0.98 7.72 .0372 1 0.98 8.25 .0373 1 0.98 8.04 .0374 1 0.98 8.04 .0375 1 0.98 8.12 .0376 1 0.98 8.32 .0377 1 0.98 8.30 .0378 1 0.98 8.31 .0379 1 0.98 8.19 .0380 1 0.98 8.50 .0381 1 0.98 8.79 .0382 1 0.98 8.38 .0383 1 0.98 8.65 .0384 1 0.98 8.36 .0385 1 0.98 8.47 .0386 1 0.98 8.45 .0387 1 0.98 8.72 .0388 1 0.98 8.77 .0389 1 0.98 8.61 .0390 2 0.98 8.88 .0391 1 0.98 8.70 .0392 1 0.98 8.51 .0393 1 0.98 8.83 .0394 1 0.98 8.77 .0395 1 0.98 8.84 .0396 1 0.98 8.94 .0397 1 0.98 8.69 .0398 1 0.98 9.02 .0399 1 0.98 8.85 .0400 1 0.98 8.91 .0401 1 0.98 8.66 .0402 1 0.98 8.62 .0403 1 0.98 8.88 .0404 1 0.98 9.08 .0405 1 0.98 9.80 .0406 1 0.98 8.98 .0407 1 0.98 8.83 .0408 1 0.98 8.97 .0409 1 0.98 8.76 .0410 1 0.98 8.87 .0411 1 0.98 8.90 .0412 1 0.98 9.12 .0413 1 0.98 8.91 .0414 1 0.98 9.45 .0415 1 0.98 9.37 .0416 1 0.98 9.24 .0417 1 0.98 8.92 .0418 1 0.98 9.26 .0419 1 0.98 10.29 .0420 1 0.98 9.91 .0421 1 0.98 10.17 .0422 1 0.98 9.40 .0423 1 0.98 9.88 .0424 1 0.98 9.50 .0425 1 0.98 9.29 .0426 1 0.98 9.84 .0427 1 0.98 9.50 .0428 1 0.98 9.33 .0429 1 0.98 9.68 .0430 1 0.98 9.95 .0431 1 0.98 9.96 .0432 1 0.98 10.10 .0433 1 0.98 9.74 .0434 1 0.98 9.76 .0435 1 0.98 9.43 .0436 1 0.98 9.57 .0437 1 0.98 10.04 .0438 1 0.98 9.60 .0439 1 0.98 10.06 .0440 1 0.98 9.81 .0441 1 0.98 9.88 .0442 2 0.98 9.83 .0443 1 0.98 10.25 .0444 2 0.98 10.44 .0445 1 0.98 10.11 .0446 1 0.98 10.17 .0447 1 0.98 10.17 .0448 1 0.98 10.38 .0449 1 0.98 10.10 .0450 1 0.98 10.01 .0451 1 0.98 10.38 .0452 1 0.98 10.55 .0453 1 0.98 10.29 .0454 1 0.98 10.11 .0455 1 0.98 10.62 .0456 1 0.98 10.11 .0457 1 0.98 10.56 .0458 1 0.98 10.53 .0459 1 0.98 10.25 .0460 1 0.98 10.54 .0461 1 0.98 10.57 .0462 1 0.98 10.42 .0463 1 0.98 10.14 .0464 1 0.98 10.40 .0465 1 0.98 10.18 .0466 1 0.98 10.26 .0467 1 0.98 10.76 .0468 1 0.98 10.72 .0469 1 0.98 10.62 .0470 1 0.98 11.37 .0471 1 0.98 10.45 .0472 1 0.98 10.68 .0473 1 0.98 10.39 .0474 1 0.98 10.73 .0475 1 0.98 10.81 .0476 1 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1 0.98 2.66 .1988 1 0.98 3.04 .1989 2 0.98 2.91 .1990 2 0.98 2.58 .1991 1 0.98 2.68 .1992 1 0.98 2.58 .1993 1 0.98 2.72 .1994 1 0.98 2.48 .1995 1 0.98 2.59 .1996 1 0.98 2.64 .1997 1 0.98 2.77 .1998 2 0.98 2.66 .1999 1 0.98 2.54 .2000 1 0.98 2.53 .2001 1 0.98 2.45 .2002 1 0.98 2.42 .2003 2 0.98 2.41 .2004 1 0.98 2.61 .2005 1 0.98 2.61 .2006 1 0.98 2.56 .2007 1 0.98 2.45 .2008 1 0.98 2.51 .2009 1 0.98 2.62 .2010 1 0.98 2.42 .2011 1 0.98 2.42 .2012 1 0.98 2.42 .2013 1 0.98 2.49 .2014 1 0.98 2.37 .2015 1 0.98 2.34 .2016 1 0.98 2.40 .2017 3 0.98 2.48 .2018 1 0.98 2.48 .2019 1 0.98 2.38 .2020 1 0.98 2.39 .2021 1 0.98 2.37 .2022 1 0.98 2.35 .2023 1 0.98 2.37 .2024 1 0.98 2.43 .2025 1 0.98 2.46 .2026 1 0.98 2.45 .2027 1 0.98 2.27 .2028 2 0.98 2.35 .2029 1 0.98 2.71 .2030 1 0.98 2.35 .2031 1 0.98 2.42 .2032 1 0.98 2.40 .2033 1 0.98 2.44 .2034 1 0.98 2.22 .2035 2 0.98 2.40 .2036 2 0.98 2.49 .2037 1 0.98 2.41 .2038 1 0.97 2.39 .2039 1 0.97 2.23 .2040 1 0.97 2.40 .2041 1 0.97 2.42 .2042 1 0.97 2.33 .2043 1 0.97 2.28 .2044 1 0.97 2.34 .2045 1 0.97 2.28 .2046 1 0.97 2.38 .2047 1 0.97 2.24 EXTRACT_IMAGE: b1: masked 61 pixels DOSCATTER: b1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b1: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b1: adding rows: 32 Step 2 of 2080 0.62 32 0.02 0.06 Step 6 of 2080 0.62 64 0.04 0.14 Step 10 of 2080 0.61 64 0.05 0.14 Step 14 of 2080 0.61 64 0.04 0.16 Step 18 of 2080 0.61 64 0.03 0.14 Step 22 of 2080 0.61 64 0.05 0.14 Step 26 of 2080 0.61 64 0.04 0.13 Step 30 of 2080 0.61 64 0.03 0.14 Step 34 of 2080 0.61 64 0.04 0.13 Step 38 of 2080 0.61 64 0.03 0.13 Step 42 of 2080 0.61 64 0.03 0.13 Step 46 of 2080 0.61 64 0.03 0.13 Step 50 of 2080 0.61 64 0.03 0.14 Step 54 of 2080 0.61 64 0.03 0.14 Step 58 of 2080 0.61 64 0.04 0.13 Step 62 of 2080 0.61 64 0.03 0.13 Step 66 of 2080 0.61 64 0.03 0.11 Step 70 of 2080 0.61 64 0.03 0.15 Step 74 of 2080 0.61 64 0.03 0.13 Step 78 of 2080 0.61 64 0.03 0.13 Step 82 of 2080 0.61 64 0.03 0.13 Step 86 of 2080 0.61 64 0.03 0.12 Step 90 of 2080 0.60 64 0.03 0.12 Step 94 of 2080 0.60 64 0.03 0.12 Step 98 of 2080 0.60 64 0.04 0.12 Step 102 of 2080 0.60 64 0.04 0.13 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.03 0.12 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.03 0.12 Step 130 of 2080 0.60 64 0.03 0.13 Step 134 of 2080 0.60 64 0.03 0.12 Step 138 of 2080 0.60 64 0.03 0.13 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.03 0.12 Step 150 of 2080 0.60 64 0.03 0.12 Step 154 of 2080 0.60 64 0.03 0.11 Step 158 of 2080 0.60 64 0.03 0.11 Step 162 of 2080 0.60 64 0.03 0.12 Step 166 of 2080 0.60 64 0.03 0.13 Step 170 of 2080 0.59 64 0.03 0.12 Step 174 of 2080 0.59 64 0.03 0.12 Step 178 of 2080 0.59 64 0.03 0.12 Step 182 of 2080 0.59 64 0.03 0.11 Step 186 of 2080 0.59 64 0.03 0.12 Step 190 of 2080 0.59 64 0.03 0.11 Step 194 of 2080 0.59 64 0.03 0.11 Step 198 of 2080 0.59 64 0.03 0.13 Step 202 of 2080 0.59 64 0.04 0.13 Step 206 of 2080 0.59 64 0.03 0.13 Step 210 of 2080 0.59 64 0.03 0.13 Step 214 of 2080 0.59 64 0.03 0.12 Step 218 of 2080 0.59 64 0.03 0.12 Step 222 of 2080 0.59 64 0.04 0.13 Step 226 of 2080 0.59 64 0.03 0.13 Step 230 of 2080 0.59 64 0.03 0.13 Step 234 of 2080 0.59 64 0.03 0.12 Step 238 of 2080 0.59 64 0.04 0.12 Step 242 of 2080 0.59 64 0.03 0.11 Step 246 of 2080 0.59 64 0.03 0.11 Step 250 of 2080 0.58 64 0.03 0.12 Step 254 of 2080 0.58 64 0.03 0.11 Step 258 of 2080 0.58 64 0.03 0.12 Step 262 of 2080 0.58 64 0.03 0.12 Step 266 of 2080 0.58 64 0.03 0.12 Step 270 of 2080 0.58 64 0.03 0.11 Step 274 of 2080 0.58 64 0.03 0.11 Step 278 of 2080 0.58 64 0.04 0.13 Step 282 of 2080 0.58 64 0.03 0.12 Step 286 of 2080 0.58 64 0.03 0.11 Step 290 of 2080 0.58 64 0.03 0.12 Step 294 of 2080 0.58 64 0.03 0.11 Step 298 of 2080 0.58 64 0.03 0.11 Step 302 of 2080 0.58 64 0.03 0.11 Step 306 of 2080 0.58 64 0.03 0.11 Step 310 of 2080 0.58 64 0.03 0.11 Step 314 of 2080 0.58 64 0.03 0.11 Step 318 of 2080 0.58 64 0.03 0.11 Step 322 of 2080 0.58 64 0.03 0.12 Step 326 of 2080 0.58 64 0.02 0.12 Step 330 of 2080 0.57 64 0.03 0.12 Step 334 of 2080 0.57 64 0.03 0.12 Step 338 of 2080 0.57 64 0.03 0.13 Step 342 of 2080 0.57 64 0.03 0.12 Step 346 of 2080 0.57 64 0.03 0.13 Step 350 of 2080 0.57 64 0.03 0.12 Step 354 of 2080 0.57 64 0.03 0.12 Step 358 of 2080 0.57 64 0.03 0.12 Step 362 of 2080 0.57 64 0.03 0.12 Step 366 of 2080 0.57 64 0.03 0.12 Step 370 of 2080 0.57 64 0.03 0.13 Step 374 of 2080 0.57 64 0.03 0.12 Step 378 of 2080 0.57 64 0.03 0.12 Step 382 of 2080 0.57 64 0.03 0.11 Step 386 of 2080 0.57 64 0.03 0.12 Step 390 of 2080 0.57 64 0.03 0.12 Step 394 of 2080 0.57 64 0.03 0.12 Step 398 of 2080 0.57 64 0.03 0.12 Step 402 of 2080 0.57 64 0.03 0.12 Step 406 of 2080 0.57 64 0.03 0.13 Step 410 of 2080 0.57 64 0.03 0.12 Step 414 of 2080 0.56 64 0.03 0.12 Step 418 of 2080 0.56 64 0.03 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64 0.04 0.13 Step 1326 of 2080 0.46 64 0.03 0.13 Step 1330 of 2080 0.46 64 0.03 0.12 Step 1334 of 2080 0.46 64 0.03 0.12 Step 1338 of 2080 0.46 64 0.03 0.12 Step 1342 of 2080 0.45 64 0.03 0.13 Step 1346 of 2080 0.45 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.03 0.13 Step 1354 of 2080 0.45 64 0.03 0.12 Step 1358 of 2080 0.45 64 0.03 0.13 Step 1362 of 2080 0.45 64 0.03 0.12 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.03 0.13 Step 1374 of 2080 0.45 64 0.03 0.11 Step 1378 of 2080 0.45 64 0.03 0.13 Step 1382 of 2080 0.45 64 0.03 0.12 Step 1386 of 2080 0.45 64 0.04 0.12 Step 1390 of 2080 0.45 64 0.03 0.11 Step 1394 of 2080 0.45 64 0.04 0.12 Step 1398 of 2080 0.45 64 0.04 0.13 Step 1402 of 2080 0.45 64 0.03 0.13 Step 1406 of 2080 0.45 64 0.03 0.12 Step 1410 of 2080 0.45 64 0.03 0.12 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.03 0.13 Step 1422 of 2080 0.45 64 0.03 0.11 Step 1426 of 2080 0.45 64 0.03 0.13 Step 1430 of 2080 0.45 64 0.03 0.12 Step 1434 of 2080 0.44 64 0.03 0.13 Step 1438 of 2080 0.44 64 0.03 0.11 Step 1442 of 2080 0.44 64 0.03 0.11 Step 1446 of 2080 0.44 64 0.03 0.11 Step 1450 of 2080 0.44 64 0.03 0.12 Step 1454 of 2080 0.44 64 0.03 0.11 Step 1458 of 2080 0.44 64 0.03 0.13 Step 1462 of 2080 0.44 64 0.03 0.12 Step 1466 of 2080 0.44 64 0.03 0.12 Step 1470 of 2080 0.44 64 0.03 0.12 Step 1474 of 2080 0.44 64 0.03 0.13 Step 1478 of 2080 0.44 64 0.03 0.12 Step 1482 of 2080 0.44 64 0.03 0.12 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.03 0.12 Step 1498 of 2080 0.44 64 0.03 0.11 Step 1502 of 2080 0.44 64 0.03 0.13 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.03 0.13 Step 1514 of 2080 0.44 64 0.03 0.11 Step 1518 of 2080 0.44 64 0.03 0.12 Step 1522 of 2080 0.44 64 0.03 0.12 Step 1526 of 2080 0.43 64 0.03 0.12 Step 1530 of 2080 0.43 64 0.03 0.12 Step 1534 of 2080 0.43 64 0.03 0.12 Step 1538 of 2080 0.43 64 0.03 0.11 Step 1542 of 2080 0.43 64 0.03 0.11 Step 1546 of 2080 0.43 64 0.03 0.11 Step 1550 of 2080 0.43 64 0.03 0.11 Step 1554 of 2080 0.43 64 0.03 0.12 Step 1558 of 2080 0.43 64 0.03 0.12 Step 1562 of 2080 0.43 64 0.03 0.14 Step 1566 of 2080 0.43 64 0.03 0.14 Step 1570 of 2080 0.43 64 0.03 0.12 Step 1574 of 2080 0.43 64 0.03 0.13 Step 1578 of 2080 0.43 64 0.03 0.13 Step 1582 of 2080 0.43 64 0.03 0.11 Step 1586 of 2080 0.43 64 0.03 0.13 Step 1590 of 2080 0.43 64 0.03 0.11 Step 1594 of 2080 0.43 64 0.03 0.12 Step 1598 of 2080 0.43 64 0.03 0.11 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.11 Step 1610 of 2080 0.43 64 0.03 0.11 Step 1614 of 2080 0.43 64 0.02 0.11 Step 1618 of 2080 0.42 64 0.03 0.11 Step 1622 of 2080 0.42 64 0.03 0.12 Step 1626 of 2080 0.42 64 0.03 0.12 Step 1630 of 2080 0.42 64 0.03 0.11 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.02 0.11 Step 1642 of 2080 0.42 64 0.02 0.11 Step 1646 of 2080 0.42 64 0.03 0.12 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.11 Step 1670 of 2080 0.42 64 0.02 0.11 Step 1674 of 2080 0.42 64 0.03 0.12 Step 1678 of 2080 0.42 64 0.03 0.11 Step 1682 of 2080 0.42 64 0.03 0.11 Step 1686 of 2080 0.42 64 0.03 0.12 Step 1690 of 2080 0.42 64 0.03 0.12 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.03 0.12 Step 1702 of 2080 0.42 64 0.03 0.12 Step 1706 of 2080 0.42 64 0.03 0.12 Step 1710 of 2080 0.41 64 0.03 0.11 Step 1714 of 2080 0.41 64 0.02 0.11 Step 1718 of 2080 0.41 64 0.02 0.11 Step 1722 of 2080 0.41 64 0.02 0.11 Step 1726 of 2080 0.41 64 0.01 0.10 Step 1730 of 2080 0.41 64 0.01 0.12 Step 1734 of 2080 0.41 64 0.01 0.10 Step 1738 of 2080 0.41 64 0.01 0.11 Step 1742 of 2080 0.41 64 0.02 0.12 Step 1746 of 2080 0.41 64 0.02 0.11 Step 1750 of 2080 0.41 64 0.01 0.10 Step 1754 of 2080 0.41 64 0.01 0.11 Step 1758 of 2080 0.41 64 0.01 0.11 Step 1762 of 2080 0.41 64 0.01 0.12 Step 1766 of 2080 0.41 64 0.01 0.11 Step 1770 of 2080 0.41 64 0.01 0.11 Step 1774 of 2080 0.41 64 0.01 0.10 Step 1778 of 2080 0.41 64 0.02 0.10 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.13 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.12 Step 1798 of 2080 0.41 64 0.03 0.11 Step 1802 of 2080 0.41 64 0.03 0.11 Step 1806 of 2080 0.40 64 0.03 0.12 Step 1810 of 2080 0.40 64 0.03 0.11 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.11 Step 1830 of 2080 0.40 64 0.03 0.13 Step 1834 of 2080 0.40 64 0.03 0.12 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.11 Step 1846 of 2080 0.40 64 0.03 0.11 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.03 0.12 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.03 0.13 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.02 0.13 Step 1874 of 2080 0.40 64 0.03 0.11 Step 1878 of 2080 0.40 64 0.03 0.11 Step 1882 of 2080 0.40 64 0.03 0.11 Step 1886 of 2080 0.40 64 0.03 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.13 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.03 0.11 Step 1906 of 2080 0.39 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.11 Step 1914 of 2080 0.39 64 0.02 0.12 Step 1918 of 2080 0.39 64 0.02 0.12 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.02 0.11 Step 1930 of 2080 0.39 64 0.02 0.11 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.02 0.11 Step 1942 of 2080 0.39 64 0.02 0.11 Step 1946 of 2080 0.39 64 0.02 0.11 Step 1950 of 2080 0.39 64 0.02 0.11 Step 1954 of 2080 0.39 64 0.02 0.11 Step 1958 of 2080 0.39 64 0.02 0.12 Step 1962 of 2080 0.39 64 0.02 0.12 Step 1966 of 2080 0.39 64 0.02 0.11 Step 1970 of 2080 0.39 64 0.03 0.13 Step 1974 of 2080 0.39 64 0.03 0.11 Step 1978 of 2080 0.39 64 0.03 0.14 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.03 0.13 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.38 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.13 Step 2014 of 2080 0.38 64 0.03 0.13 Step 2018 of 2080 0.38 64 0.03 0.11 Step 2022 of 2080 0.38 64 0.03 0.12 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.11 Step 2034 of 2080 0.38 64 0.03 0.11 Step 2038 of 2080 0.38 64 0.03 0.11 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 32 0.01 0.06 Step 2050 of 2080 0.38 32 0.01 0.06 Step 2054 of 2080 0.38 32 0.01 0.06 Step 2058 of 2080 0.38 32 0.01 0.06 Step 2062 of 2080 0.38 32 0.01 0.06 Step 2066 of 2080 0.38 32 0.01 0.05 Step 2070 of 2080 0.38 32 0.01 0.05 Step 2074 of 2080 0.38 32 0.01 0.05 Step 2078 of 2080 0.38 32 0.01 0.06 ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.69 .0004 1 0.93 1.60 .0005 1 0.93 1.71 .0006 1 0.93 1.73 .0007 1 0.93 1.60 .0008 1 0.93 1.62 .0009 1 0.93 1.70 .0010 1 0.93 1.70 .0011 1 0.93 1.89 .0012 1 0.93 1.82 .0013 1 0.93 1.96 .0014 1 0.93 1.82 .0015 1 0.93 1.88 .0016 1 0.93 1.88 .0017 1 0.93 1.96 .0018 1 0.93 1.92 .0019 1 0.93 1.89 .0020 1 0.93 1.96 .0021 1 0.94 2.07 .0022 1 0.94 2.32 .0023 1 0.94 2.19 .0024 2 0.94 2.10 .0025 1 0.94 2.10 .0026 1 0.94 2.09 .0027 1 0.94 2.19 .0028 1 0.94 2.26 .0029 1 0.94 2.24 .0030 1 0.94 2.68 .0031 1 0.94 2.28 .0032 1 0.94 2.26 .0033 1 0.94 2.45 .0034 3 0.94 2.22 .0035 4 0.94 2.41 .0036 1 0.94 2.48 .0037 2 0.94 2.44 .0038 1 0.94 2.42 .0039 1 0.94 2.43 .0040 1 0.94 2.41 .0041 1 0.94 2.32 .0042 1 0.94 2.48 .0043 1 0.94 2.46 .0044 1 0.94 2.36 .0045 1 0.94 2.53 .0046 1 0.94 2.48 .0047 1 0.94 2.32 .0048 1 0.94 2.36 .0049 1 0.94 2.39 .0050 1 0.94 2.47 .0051 1 0.94 2.43 .0052 1 0.94 2.31 .0053 1 0.94 2.47 .0054 1 0.94 2.52 .0055 1 0.94 2.51 .0056 2 0.94 2.44 .0057 1 0.94 2.46 .0058 1 0.94 2.52 .0059 1 0.94 2.65 .0060 1 0.94 2.45 .0061 1 0.94 2.37 .0062 1 0.94 2.67 .0063 1 0.94 2.35 .0064 1 0.94 2.36 .0065 1 0.94 2.39 .0066 1 0.94 2.44 .0067 1 0.95 2.32 .0068 1 0.95 2.25 .0069 1 0.95 2.48 .0070 1 0.95 2.50 .0071 1 0.95 2.40 .0072 1 0.95 2.38 .0073 3 0.95 2.43 .0074 1 0.95 2.34 .0075 1 0.95 2.54 .0076 2 0.95 2.44 .0077 1 0.95 2.32 .0078 1 0.95 2.39 .0079 1 0.95 2.34 .0080 1 0.95 2.36 .0081 1 0.95 2.42 .0082 1 0.95 2.37 .0083 1 0.95 2.41 .0084 1 0.95 2.39 .0085 1 0.95 2.20 .0086 1 0.95 2.43 .0087 1 0.95 2.42 .0088 1 0.95 2.45 .0089 1 0.95 2.36 .0090 1 0.95 2.53 .0091 1 0.95 2.52 .0092 1 0.95 2.36 .0093 1 0.95 2.37 .0094 1 0.95 2.31 .0095 1 0.95 2.43 .0096 2 0.95 2.66 .0097 3 0.95 2.37 .0098 1 0.95 2.49 .0099 1 0.95 2.42 .0100 1 0.95 2.33 .0101 1 0.95 2.50 .0102 1 0.95 2.39 .0103 1 0.95 2.43 .0104 1 0.95 2.32 .0105 1 0.95 2.39 .0106 1 0.95 2.43 .0107 1 0.95 2.44 .0108 1 0.95 2.33 .0109 1 0.95 2.31 .0110 1 0.95 2.28 .0111 1 0.95 2.14 .0112 1 0.95 2.39 .0113 1 0.95 2.32 .0114 1 0.95 2.37 .0115 1 0.95 2.25 .0116 1 0.95 2.28 .0117 1 0.95 2.52 .0118 1 0.95 2.26 .0119 1 0.95 2.36 .0120 1 0.95 2.36 .0121 1 0.95 2.39 .0122 1 0.95 2.43 .0123 1 0.95 2.29 .0124 1 0.95 2.27 .0125 1 0.95 2.26 .0126 1 0.96 2.29 .0127 1 0.96 2.22 .0128 1 0.96 2.36 .0129 1 0.96 2.41 .0130 1 0.96 2.29 .0131 1 0.96 2.41 .0132 1 0.96 2.40 .0133 1 0.96 2.41 .0134 1 0.96 2.17 .0135 2 0.96 2.40 .0136 1 0.96 2.28 .0137 1 0.96 2.22 .0138 1 0.96 2.38 .0139 1 0.96 2.20 .0140 1 0.96 2.25 .0141 1 0.96 2.18 .0142 1 0.96 2.33 .0143 1 0.96 2.40 .0144 1 0.96 2.32 .0145 1 0.96 2.31 .0146 1 0.96 2.23 .0147 1 0.96 2.24 .0148 1 0.96 2.38 .0149 1 0.96 2.37 .0150 3 0.96 2.38 .0151 4 0.96 2.35 .0152 1 0.96 2.36 .0153 1 0.96 2.20 .0154 1 0.96 2.29 .0155 1 0.96 2.29 .0156 1 0.96 2.39 .0157 1 0.96 2.30 .0158 1 0.96 2.42 .0159 1 0.96 2.31 .0160 1 0.96 2.22 .0161 1 0.96 2.40 .0162 1 0.96 2.37 .0163 1 0.96 2.21 .0164 1 0.96 2.35 .0165 1 0.96 2.21 .0166 1 0.96 2.32 .0167 1 0.96 2.34 .0168 1 0.96 2.34 .0169 1 0.96 2.46 .0170 1 0.96 2.51 .0171 1 0.96 2.49 .0172 1 0.96 2.42 .0173 1 0.96 2.42 .0174 1 0.96 2.34 .0175 1 0.96 2.25 .0176 1 0.96 2.32 .0177 1 0.96 2.43 .0178 1 0.96 2.27 .0179 1 0.96 2.37 .0180 1 0.96 2.35 .0181 2 0.96 2.38 .0182 1 0.96 2.65 .0183 1 0.96 2.47 .0184 1 0.96 2.29 .0185 1 0.96 2.78 .0186 1 0.96 2.38 .0187 1 0.96 2.40 .0188 1 0.96 2.47 .0189 1 0.96 2.37 .0190 1 0.96 2.52 .0191 1 0.96 2.41 .0192 1 0.96 2.44 .0193 1 0.96 2.64 .0194 1 0.96 2.44 .0195 1 0.96 2.61 .0196 1 0.96 2.40 .0197 1 0.96 2.42 .0198 1 0.96 2.54 .0199 1 0.96 2.55 .0200 1 0.96 2.51 .0201 1 0.96 2.53 .0202 1 0.96 2.88 .0203 1 0.96 2.58 .0204 1 0.96 2.57 .0205 2 0.96 2.76 .0206 1 0.96 2.60 .0207 1 0.96 2.63 .0208 1 0.96 2.69 .0209 2 0.96 2.72 .0210 1 0.96 2.62 .0211 1 0.96 2.74 .0212 1 0.96 2.90 .0213 1 0.96 2.81 .0214 1 0.97 2.79 .0215 1 0.97 2.87 .0216 1 0.97 2.91 .0217 2 0.97 2.74 .0218 1 0.97 2.90 .0219 1 0.97 2.86 .0220 1 0.97 2.90 .0221 1 0.97 2.91 .0222 1 0.97 3.02 .0223 1 0.97 2.95 .0224 1 0.97 3.10 .0225 1 0.97 2.96 .0226 1 0.97 3.16 .0227 1 0.97 3.53 .0228 1 0.97 3.21 .0229 1 0.97 3.02 .0230 1 0.97 3.16 .0231 1 0.97 3.06 .0232 1 0.97 3.40 .0233 1 0.97 2.96 .0234 1 0.97 3.36 .0235 1 0.97 3.12 .0236 1 0.97 3.37 .0237 1 0.97 3.36 .0238 1 0.97 3.32 .0239 3 0.97 3.25 .0240 1 0.97 3.75 .0241 1 0.97 3.45 .0242 1 0.97 3.38 .0243 1 0.97 3.48 .0244 1 0.97 3.51 .0245 1 0.97 3.71 .0246 1 0.97 3.43 .0247 1 0.97 3.54 .0248 1 0.97 3.54 .0249 1 0.97 3.55 .0250 1 0.97 3.50 .0251 1 0.97 3.52 .0252 1 0.97 3.63 .0253 1 0.97 3.70 .0254 1 0.97 3.73 .0255 1 0.97 3.76 .0256 1 0.97 3.63 .0257 1 0.97 3.85 .0258 1 0.97 3.75 .0259 1 0.97 3.69 .0260 1 0.97 3.62 .0261 1 0.97 3.76 .0262 1 0.97 3.80 .0263 1 0.97 3.89 .0264 1 0.97 3.52 .0265 1 0.97 3.85 .0266 1 0.97 3.98 .0267 1 0.97 3.96 .0268 1 0.97 3.86 .0269 1 0.97 4.04 .0270 1 0.97 3.91 .0271 1 0.97 4.43 .0272 1 0.97 4.11 .0273 1 0.97 4.11 .0274 1 0.97 3.98 .0275 1 0.97 4.10 .0276 1 0.97 4.06 .0277 1 0.97 4.18 .0278 1 0.97 4.28 .0279 1 0.97 4.19 .0280 1 0.97 4.19 .0281 1 0.97 4.12 .0282 1 0.97 4.29 .0283 1 0.97 4.16 .0284 1 0.97 4.16 .0285 1 0.97 4.44 .0286 1 0.97 4.30 .0287 1 0.97 4.37 .0288 1 0.97 4.32 .0289 1 0.97 4.48 .0290 1 0.97 4.36 .0291 1 0.97 4.56 .0292 1 0.97 4.57 .0293 1 0.97 4.42 .0294 1 0.97 4.61 .0295 1 0.97 4.40 .0296 1 0.97 4.46 .0297 1 0.97 4.72 .0298 1 0.97 4.67 .0299 1 0.97 4.66 .0300 2 0.97 4.83 .0301 1 0.97 4.87 .0302 1 0.97 4.86 .0303 1 0.97 5.00 .0304 1 0.97 4.73 .0305 1 0.97 4.88 .0306 1 0.97 4.85 .0307 1 0.97 5.01 .0308 1 0.97 5.18 .0309 1 0.97 4.97 .0310 1 0.97 4.85 .0311 1 0.97 4.97 .0312 1 0.97 5.06 .0313 1 0.97 5.28 .0314 1 0.97 5.00 .0315 1 0.97 5.17 .0316 1 0.97 5.16 .0317 2 0.97 5.04 .0318 1 0.97 5.56 .0319 1 0.97 5.25 .0320 1 0.97 5.32 .0321 1 0.97 5.26 .0322 1 0.97 5.23 .0323 1 0.97 5.29 .0324 1 0.97 5.18 .0325 1 0.97 5.46 .0326 1 0.97 5.39 .0327 1 0.97 5.33 .0328 1 0.97 5.41 .0329 1 0.97 5.61 .0330 1 0.97 5.50 .0331 1 0.97 5.63 .0332 1 0.97 5.64 .0333 1 0.97 5.62 .0334 1 0.97 5.41 .0335 1 0.97 5.76 .0336 1 0.97 5.68 .0337 1 0.97 5.78 .0338 2 0.97 5.78 .0339 2 0.97 5.78 .0340 1 0.97 5.96 .0341 1 0.97 5.62 .0342 1 0.97 5.79 .0343 1 0.97 5.78 .0344 1 0.97 5.80 .0345 1 0.97 5.76 .0346 1 0.97 5.91 .0347 1 0.97 5.87 .0348 1 0.97 5.76 .0349 1 0.97 5.92 .0350 1 0.97 5.84 .0351 1 0.97 6.00 .0352 1 0.97 6.15 .0353 1 0.98 5.92 .0354 1 0.98 5.93 .0355 1 0.98 6.62 .0356 1 0.98 6.40 .0357 1 0.98 6.15 .0358 1 0.98 6.04 .0359 1 0.98 6.12 .0360 1 0.98 6.12 .0361 1 0.98 6.31 .0362 1 0.98 6.10 .0363 1 0.98 6.27 .0364 1 0.98 6.32 .0365 1 0.98 6.42 .0366 1 0.98 6.23 .0367 1 0.98 6.24 .0368 1 0.98 6.31 .0369 1 0.98 6.25 .0370 1 0.98 6.39 .0371 1 0.98 6.06 .0372 1 0.98 6.52 .0373 1 0.98 6.39 .0374 1 0.98 6.32 .0375 1 0.98 6.41 .0376 1 0.98 6.57 .0377 1 0.98 6.52 .0378 1 0.98 6.48 .0379 1 0.98 6.36 .0380 1 0.98 6.60 .0381 1 0.98 6.98 .0382 1 0.98 6.57 .0383 1 0.98 6.84 .0384 1 0.98 6.50 .0385 1 0.98 6.66 .0386 1 0.98 6.68 .0387 1 0.98 6.86 .0388 1 0.98 6.78 .0389 1 0.98 6.74 .0390 2 0.98 6.86 .0391 1 0.98 6.74 .0392 1 0.98 6.58 .0393 1 0.98 6.89 .0394 1 0.98 6.86 .0395 1 0.98 6.89 .0396 1 0.98 6.98 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.1839 1 0.98 2.50 .1840 1 0.98 2.43 .1841 1 0.98 2.62 .1842 1 0.98 2.39 .1843 1 0.98 2.60 .1844 1 0.98 2.82 .1845 1 0.98 2.81 .1846 1 0.98 2.77 .1847 1 0.98 2.72 .1848 1 0.98 2.87 .1849 1 0.98 3.01 .1850 1 0.98 2.89 .1851 1 0.98 2.65 .1852 1 0.98 2.71 .1853 1 0.98 2.63 .1854 1 0.98 2.70 .1855 1 0.98 2.59 .1856 1 0.98 2.47 .1857 1 0.98 2.55 .1858 1 0.98 2.55 .1859 1 0.98 2.53 .1860 1 0.98 2.50 .1861 1 0.98 2.34 .1862 1 0.98 2.42 .1863 1 0.98 2.40 .1864 1 0.98 2.22 .1865 1 0.98 2.36 .1866 1 0.98 2.40 .1867 1 0.98 2.39 .1868 1 0.98 2.40 .1869 1 0.98 2.35 .1870 1 0.98 2.40 .1871 1 0.98 2.19 .1872 1 0.98 2.46 .1873 1 0.98 2.43 .1874 1 0.98 2.35 .1875 1 0.98 2.39 .1876 1 0.98 2.44 .1877 1 0.98 2.48 .1878 1 0.98 2.33 .1879 1 0.98 2.31 .1880 1 0.98 2.28 .1881 1 0.98 2.42 .1882 1 0.98 2.27 .1883 1 0.98 2.33 .1884 1 0.98 2.39 .1885 1 0.98 2.20 .1886 1 0.98 2.31 .1887 1 0.98 2.19 .1888 1 0.98 2.21 .1889 1 0.98 2.28 .1890 1 0.98 2.19 .1891 1 0.98 2.25 .1892 1 0.98 2.24 .1893 1 0.98 2.26 .1894 1 0.98 2.48 .1895 2 0.98 2.36 .1896 1 0.98 2.23 .1897 1 0.98 2.22 .1898 1 0.98 2.33 .1899 1 0.98 2.38 .1900 1 0.98 2.15 .1901 2 0.98 2.20 .1902 1 0.98 2.26 .1903 1 0.98 2.21 .1904 1 0.98 2.04 .1905 1 0.98 2.07 .1906 1 0.98 2.17 .1907 1 0.98 2.18 .1908 1 0.98 2.16 .1909 1 0.98 2.24 .1910 1 0.98 2.01 .1911 1 0.98 2.04 .1912 1 0.98 2.12 .1913 1 0.98 2.01 .1914 1 0.98 2.13 .1915 1 0.98 2.06 .1916 1 0.98 2.12 .1917 1 0.98 2.34 .1918 1 0.98 1.99 .1919 1 0.98 2.05 .1920 2 0.98 2.08 .1921 1 0.98 2.02 .1922 1 0.98 2.07 .1923 1 0.98 2.05 .1924 1 0.98 1.96 .1925 1 0.98 1.84 .1926 1 0.98 1.90 .1927 1 0.98 1.90 .1928 1 0.98 1.87 .1929 1 0.98 1.92 .1930 1 0.98 1.91 .1931 1 0.98 2.05 .1932 1 0.98 2.24 .1933 1 0.98 1.98 .1934 2 0.98 1.94 .1935 1 0.98 1.96 .1936 1 0.98 1.91 .1937 1 0.98 2.00 .1938 1 0.98 1.88 .1939 1 0.98 2.00 .1940 1 0.98 1.84 .1941 1 0.98 1.85 .1942 1 0.98 1.93 .1943 1 0.98 1.97 .1944 1 0.98 1.85 .1945 2 0.98 2.10 .1946 1 0.98 1.96 .1947 2 0.98 2.14 .1948 1 0.98 1.93 .1949 1 0.98 1.84 .1950 1 0.98 1.84 .1951 1 0.98 1.90 .1952 1 0.98 2.02 .1953 1 0.98 1.79 .1954 1 0.98 1.84 .1955 1 0.98 1.86 .1956 1 0.98 1.92 .1957 1 0.98 1.97 .1958 1 0.98 1.94 .1959 1 0.98 1.98 .1960 1 0.98 1.85 .1961 1 0.98 1.89 .1962 1 0.98 1.87 .1963 1 0.98 1.83 .1964 1 0.98 1.94 .1965 1 0.98 1.90 .1966 1 0.98 1.96 .1967 1 0.98 1.96 .1968 1 0.98 2.24 .1969 1 0.98 1.99 .1970 2 0.98 2.04 .1971 1 0.98 1.91 .1972 1 0.98 1.92 .1973 1 0.98 2.05 .1974 1 0.98 2.02 .1975 1 0.98 2.07 .1976 1 0.98 2.11 .1977 1 0.98 1.96 .1978 1 0.98 1.91 .1979 1 0.98 1.79 .1980 1 0.98 1.98 .1981 1 0.98 1.87 .1982 1 0.98 1.84 .1983 2 0.98 1.91 .1984 1 0.98 1.84 .1985 1 0.98 1.89 .1986 1 0.98 1.80 .1987 1 0.98 1.87 .1988 1 0.98 2.17 .1989 2 0.98 2.09 .1990 2 0.98 1.81 .1991 1 0.98 1.75 .1992 1 0.98 1.80 .1993 1 0.98 1.87 .1994 1 0.98 1.71 .1995 1 0.98 1.75 .1996 1 0.98 1.82 .1997 1 0.98 1.96 .1998 2 0.98 1.86 .1999 1 0.98 1.72 .2000 1 0.98 1.83 .2001 1 0.98 1.79 .2002 1 0.98 1.72 .2003 2 0.98 1.72 .2004 1 0.98 1.90 .2005 1 0.98 1.77 .2006 1 0.98 1.79 .2007 1 0.98 1.69 .2008 1 0.98 1.79 .2009 1 0.98 1.83 .2010 1 0.98 1.79 .2011 1 0.98 1.76 .2012 1 0.98 1.67 .2013 1 0.98 1.79 .2014 1 0.98 1.72 .2015 1 0.98 1.69 .2016 1 0.98 1.69 .2017 3 0.98 1.73 .2018 1 0.98 1.75 .2019 1 0.98 1.72 .2020 1 0.98 1.79 .2021 1 0.98 1.68 .2022 1 0.98 1.67 .2023 1 0.98 1.75 .2024 1 0.98 1.75 .2025 1 0.98 1.78 .2026 1 0.98 1.71 .2027 1 0.98 1.68 .2028 2 0.98 1.66 .2029 1 0.98 2.03 .2030 1 0.98 1.62 .2031 1 0.98 1.69 .2032 1 0.98 1.71 .2033 1 0.98 1.71 .2034 1 0.98 1.54 .2035 2 0.98 1.72 .2036 3 0.98 1.53 .2037 1 0.98 1.71 .2038 1 0.97 1.62 .2039 1 0.97 1.60 .2040 1 0.97 1.71 .2041 1 0.97 1.71 .2042 1 0.97 1.66 .2043 1 0.97 1.58 .2044 1 0.97 1.68 .2045 1 0.97 1.62 .2046 1 0.97 1.66 .2047 1 0.97 1.59 EXTRACT_IMAGE: b1: masked 90 pixels SPCALIB: b1: First extraction chi^2 0.00000 15.9226 SPCALIB: b1: Second extraction chi^2 0.00000 12.3639 SUPERFLAT: b1: Creating superflat from 313 fibers highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b1: Number of fiberflat points LE 0 = 8381 SPCALIB: b1: Elapsed time = 441. seconds % Compiled module: SDSSHEAD. % Compiled module: SELECT_FLAT. SPREDUCE: b1: Best flat = sdR-b1-00034591.fit SPREDUCE: b1: Best arc = sdR-b1-00034592.fit % Compiled module: QAPLOT_ARCLINE. QAPLOT_ARCLINE: b1: Number of arc lines: 15 QAPLOT_ARCLINE: b1: Number of arc lines below 4000 Ang: 1 QAPLOT_ARCLINE: b1: Arcline 0: lambda= 3983.84 Ang, median dev= 0.029 pix, sigma dev= 0.188 pix QAPLOT_ARCLINE: b1: Arcline 1: lambda= 4046.57 Ang, median dev= -0.009 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 2: lambda= 4077.84 Ang, median dev= 0.033 pix, sigma dev= 0.016 pix QAPLOT_ARCLINE: b1: Arcline 3: lambda= 4358.34 Ang, median dev= -0.017 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 4: lambda= 4678.15 Ang, median dev= 0.047 pix, sigma dev= 0.035 pix QAPLOT_ARCLINE: b1: Arcline 5: lambda= 4799.91 Ang, median dev= 0.020 pix, sigma dev= 0.020 pix QAPLOT_ARCLINE: b1: Arcline 6: lambda= 4916.07 Ang, median dev= 0.046 pix, sigma dev= 0.058 pix QAPLOT_ARCLINE: b1: Arcline 7: lambda= 5085.82 Ang, median dev= -0.004 pix, sigma dev= 0.016 pix QAPLOT_ARCLINE: b1: Arcline 8: lambda= 5460.75 Ang, median dev= -0.026 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: b1: Arcline 9: lambda= 5769.60 Ang, median dev= 0.009 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b1: Arcline 10: lambda= 5790.66 Ang, median dev= 0.021 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b1: Arcline 11: lambda= 5852.49 Ang, median dev= 0.007 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 12: lambda= 5881.90 Ang, median dev= 0.005 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: b1: Arcline 13: lambda= 5944.83 Ang, median dev= -0.010 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: b1: Arcline 14: lambda= 6030.00 Ang, median dev= -0.024 pix, sigma dev= 0.017 pix % Compiled module: ERRPLOT. SPREDUCE: sdR-b1-00034587.fit: Reading object sdR-b1-00034587.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034587.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034587.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034587.fit: Measured read-noise in DN for amp# 2 = 3.54207 SDSSPROC: sdR-b1-00034587.fit: Measured bias value in DN for amp# 2 = 1202.68 SDSSPROC: sdR-b1-00034587.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034587.fit: Amp #2 Number of pix below bias-5*sigma= 1183. DN is 0 SDSSPROC: sdR-b1-00034587.fit: Measured read-noise in DN for amp# 3 = 2.90264 SDSSPROC: sdR-b1-00034587.fit: Measured bias value in DN for amp# 3 = 1026.23 SDSSPROC: sdR-b1-00034587.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034587.fit: Amp #3 Number of pix below bias-5*sigma= 1010. DN is 0 SDSSPROC: sdR-b1-00034587.fit: Number of bleading columns = 1 SDSSPROC: sdR-b1-00034587.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034587.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034587.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034587.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034587.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 % Compiled module: REJECT_SCIENCE. REJECT_SCIENCE: sdR-b1-00034587.fit: Science 25-th-percentile = 333.989 % Compiled module: QAPLOT_FFLAT. .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210% Compiled module: EXTRACT_OBJECT. % Compiled module: EXTRACT_BOXCAR. % Compiled module: FIND_WHOPPING. EXTRACT_OBJECT: sdR-b1-00034587.fit: Whopping fibers: 0 6 19 23 30 33 35 38 42 47 53 55 58 66 71 77 80 84 94 99 120 125 128 130 133 137 210 217 220 224 226 228 241 243 250 253 257 265 272 275 290 303 307 310 313 316 EXTRACT_OBJECT: sdR-b1-00034587.fit: Median counts in all fibers = 10622.2 EXTRACT_OBJECT: sdR-b1-00034587.fit: Number of bright fibers = 46 EXTRACT_OBJECT: sdR-b1-00034587.fit: Sky fiber median 1004.31 EXTRACT_OBJECT: sdR-b1-00034587.fit: 5% and 95% count levels 462.881 31056.0 EXTRACT_OBJECT: sdR-b1-00034587.fit: WARNING: Disable whopping terms sdR-b1-00034587.fit MATCH_TRACE: sdR-b1-00034587.fit: Iteration: 0 Pixels Rejected: 24167 Finished? 0 MATCH_TRACE: sdR-b1-00034587.fit: Iteration: 1 Pixels Rejected: 426 Finished? 0 MATCH_TRACE: sdR-b1-00034587.fit: Iteration: 2 Pixels Rejected: 47 Finished? 0 MATCH_TRACE: sdR-b1-00034587.fit: Iteration: 3 Pixels Rejected: 5 Finished? 0 MATCH_TRACE: sdR-b1-00034587.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-b1-00034587.fit: Warning: Large number of pixels rejected! 24645 EXTRACT_OBJECT: sdR-b1-00034587.fit: Shifting traces by match_trace 0.0885010 EXTRACT_OBJECT: sdR-b1-00034587.fit: Extracting frame sdR-b1-00034587.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034587.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 2 0.93 5.17 .0004 2 0.93 5.61 .0005 3 0.93 5.17 .0006 1 0.93 5.36 .0007 2 0.93 5.40 .0008 2 0.93 5.67 .0009 2 0.93 5.96 .0010 1 0.93 5.81 .0011 2 0.93 6.03 .0012 2 0.93 6.73 .0013 2 0.93 6.45 .0014 1 0.93 6.55 .0015 3 0.93 6.33 .0016 1 0.93 6.69 .0017 1 0.93 6.84 .0018 1 0.93 6.56 .0019 1 0.93 7.13 .0020 2 0.93 7.85 .0021 2 0.94 7.66 .0022 1 0.94 7.27 .0023 1 0.94 7.25 .0024 1 0.94 7.42 .0025 2 0.94 7.98 .0026 3 0.94 8.21 .0027 2 0.94 8.14 .0028 1 0.94 8.16 .0029 2 0.94 8.78 .0030 1 0.94 8.99 .0031 1 0.94 8.94 .0032 1 0.94 8.30 .0033 1 0.94 8.82 .0034 1 0.94 8.53 .0035 1 0.94 8.87 .0036 1 0.94 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11.19 .1620 1 0.99 11.03 .1621 1 0.99 10.65 .1622 1 0.99 10.59 .1623 3 0.99 10.97 .1624 1 0.99 10.94 .1625 3 0.99 10.81 .1626 2 0.99 10.28 .1627 3 0.99 10.44 .1628 1 0.99 10.74 .1629 2 0.99 10.36 .1630 2 0.99 10.64 .1631 2 0.99 11.53 .1632 3 0.99 11.26 .1633 4 0.99 10.51 .1634 1 0.99 10.95 .1635 1 0.99 10.61 .1636 1 0.99 10.86 .1637 2 0.99 10.43 .1638 1 0.99 12.13 .1639 1 0.99 11.07 .1640 2 0.99 9.97 .1641 1 0.99 10.13 .1642 1 0.99 10.82 .1643 1 0.99 10.60 .1644 1 0.99 10.04 .1645 1 0.99 10.24 .1646 1 0.99 10.58 .1647 1 0.99 10.31 .1648 2 0.99 10.56 .1649 1 0.99 11.16 .1650 1 0.99 10.45 .1651 1 0.99 10.51 .1652 2 0.99 10.62 .1653 2 0.99 10.59 .1654 2 0.99 10.23 .1655 2 0.99 10.56 .1656 1 0.99 10.12 .1657 2 0.99 10.41 .1658 4 0.99 10.08 .1659 3 0.99 10.83 .1660 2 0.99 10.11 .1661 2 0.99 9.98 .1662 1 0.99 10.58 .1663 1 0.99 11.94 .1664 2 0.99 10.56 .1665 2 0.99 10.37 .1666 2 0.99 9.73 .1667 1 0.99 9.88 .1668 1 0.99 10.21 .1669 1 0.99 10.07 .1670 2 0.99 9.94 .1671 1 0.99 10.25 .1672 1 0.99 10.37 .1673 1 0.99 10.08 .1674 2 0.99 10.19 .1675 1 0.99 9.86 .1676 1 0.99 9.82 .1677 2 0.99 9.99 .1678 2 0.99 9.73 .1679 2 0.99 9.71 .1680 1 0.99 10.37 .1681 2 0.99 10.90 .1682 1 0.99 10.54 .1683 1 0.99 11.00 .1684 2 0.99 9.91 .1685 1 0.99 10.15 .1686 2 0.99 10.80 .1687 2 0.99 12.11 .1688 2 0.99 10.15 .1689 1 0.99 10.34 .1690 2 0.99 10.57 .1691 1 0.99 9.71 .1692 1 0.99 9.94 .1693 1 0.99 9.91 .1694 1 0.99 9.75 .1695 1 0.99 9.79 .1696 2 0.99 9.66 .1697 1 0.99 9.81 .1698 1 0.99 9.46 .1699 2 0.99 10.27 .1700 2 0.99 9.86 .1701 2 0.99 9.56 .1702 1 0.99 9.23 .1703 1 0.99 9.40 .1704 1 0.99 9.39 .1705 1 0.99 9.37 .1706 2 0.99 8.97 .1707 1 0.99 9.50 .1708 2 0.99 8.98 .1709 2 0.99 9.02 .1710 2 0.99 9.66 .1711 2 0.99 9.52 .1712 3 0.99 9.58 .1713 3 0.99 8.96 .1714 3 0.99 9.30 .1715 1 0.99 9.51 .1716 1 0.99 9.09 .1717 1 0.99 9.05 .1718 1 0.99 8.98 .1719 2 0.99 8.72 .1720 2 0.99 8.73 .1721 1 0.99 8.87 .1722 1 0.99 9.03 .1723 2 0.99 8.92 .1724 1 0.99 8.92 .1725 2 0.99 8.86 .1726 1 0.99 9.39 .1727 5 0.99 8.31 .1728 5 0.99 8.35 .1729 1 0.99 9.19 .1730 2 0.99 8.26 .1731 1 0.99 10.11 .1732 2 0.99 9.20 .1733 2 0.99 8.15 .1734 2 0.99 9.71 .1735 2 0.99 8.90 .1736 2 0.99 8.11 .1737 2 0.99 7.54 .1738 2 0.99 7.75 .1739 2 0.99 8.14 .1740 1 0.99 8.12 .1741 1 0.99 8.23 .1742 1 0.99 9.36 .1743 3 0.99 8.09 .1744 2 0.99 7.45 .1745 1 0.99 7.13 .1746 2 0.99 7.67 .1747 2 0.99 7.87 .1748 3 0.99 7.24 .1749 3 0.99 6.86 .1750 2 0.99 7.33 .1751 2 0.99 7.36 .1752 3 0.99 6.74 .1753 2 0.99 6.77 .1754 1 0.99 7.39 .1755 1 0.99 6.88 .1756 1 0.99 7.06 .1757 1 0.99 6.79 .1758 2 0.99 6.50 .1759 2 0.99 6.57 .1760 2 0.99 6.40 .1761 3 0.99 6.37 .1762 1 0.99 6.72 .1763 1 0.99 6.49 .1764 2 0.99 6.52 .1765 1 0.99 6.79 .1766 1 0.99 6.73 .1767 1 0.99 7.43 .1768 4 0.99 6.94 .1769 1 0.99 7.52 .1770 2 0.99 7.31 .1771 3 0.99 7.35 .1772 2 0.99 7.83 .1773 2 0.99 7.32 .1774 1 0.99 7.44 .1775 1 0.99 7.55 .1776 3 0.99 8.57 .1777 1 0.99 7.84 .1778 2 0.99 8.02 .1779 3 0.99 8.90 .1780 4 0.99 8.72 .1781 3 0.99 8.11 .1782 4 0.99 7.90 .1783 2 0.99 8.14 .1784 1 0.99 7.79 .1785 2 0.99 8.10 .1786 2 0.99 7.82 .1787 2 0.99 8.13 .1788 1 0.99 7.95 .1789 2 0.99 8.09 .1790 1 0.99 8.39 .1791 2 0.99 8.67 .1792 3 0.99 8.86 .1793 3 0.99 9.28 .1794 1 0.99 8.57 .1795 1 0.99 8.35 .1796 1 0.99 8.44 .1797 1 0.99 8.73 .1798 1 0.99 8.65 .1799 1 0.99 8.55 .1800 4 0.99 8.70 .1801 2 0.99 8.53 .1802 3 0.99 8.56 .1803 4 0.99 8.55 .1804 2 0.99 8.64 .1805 1 0.99 8.86 .1806 3 0.99 8.57 .1807 1 0.99 9.41 .1808 2 0.99 9.66 .1809 2 0.99 10.35 .1810 3 0.99 9.42 .1811 1 0.99 9.62 .1812 1 0.99 9.03 .1813 1 0.99 8.90 .1814 3 0.99 8.56 .1815 1 0.99 8.90 .1816 1 0.99 8.75 .1817 1 0.99 8.63 .1818 1 0.99 8.52 .1819 1 0.99 8.31 .1820 1 0.98 8.27 .1821 1 0.98 8.68 .1822 3 0.98 9.12 .1823 2 0.98 8.29 .1824 1 0.98 8.55 .1825 1 0.98 8.69 .1826 1 0.98 8.93 .1827 1 0.98 8.64 .1828 1 0.98 8.78 .1829 1 0.98 8.40 .1830 1 0.98 8.30 .1831 2 0.98 9.59 .1832 2 0.98 8.98 .1833 1 0.98 8.63 .1834 1 0.98 8.55 .1835 2 0.98 8.36 .1836 3 0.98 8.72 .1837 1 0.98 8.24 .1838 1 0.98 8.30 .1839 1 0.98 8.20 .1840 2 0.98 8.24 .1841 1 0.98 8.09 .1842 1 0.98 8.02 .1843 2 0.98 8.24 .1844 2 0.98 7.83 .1845 2 0.98 7.97 .1846 2 0.98 8.03 .1847 1 0.98 8.52 .1848 1 0.98 7.69 .1849 2 0.98 7.71 .1850 3 0.98 7.61 .1851 3 0.98 7.62 .1852 1 0.98 7.37 .1853 1 0.98 7.29 .1854 2 0.98 7.61 .1855 2 0.98 7.89 .1856 1 0.98 7.50 .1857 2 0.98 7.11 .1858 1 0.98 7.03 .1859 2 0.98 7.21 .1860 2 0.98 7.06 .1861 1 0.98 7.46 .1862 1 0.98 6.92 .1863 2 0.98 6.96 .1864 2 0.98 6.50 .1865 2 0.98 6.69 .1866 1 0.98 6.37 .1867 1 0.98 6.68 .1868 3 0.98 7.05 .1869 3 0.98 6.85 .1870 3 0.98 6.81 .1871 1 0.98 7.06 .1872 2 0.98 6.69 .1873 2 0.98 5.88 .1874 1 0.98 6.14 .1875 2 0.98 5.67 .1876 3 0.98 5.81 .1877 1 0.98 5.93 .1878 2 0.98 5.41 .1879 3 0.98 5.45 .1880 2 0.98 5.31 .1881 1 0.98 4.84 .1882 1 0.98 4.98 .1883 3 0.98 4.92 .1884 2 0.98 5.17 .1885 3 0.98 5.03 .1886 3 0.98 5.25 .1887 2 0.98 5.11 .1888 2 0.98 5.34 .1889 1 0.98 5.47 .1890 1 0.98 5.00 .1891 2 0.98 4.97 .1892 2 0.98 5.53 .1893 2 0.98 5.45 .1894 3 0.98 5.47 .1895 3 0.98 5.70 .1896 1 0.98 5.43 .1897 1 0.98 5.59 .1898 2 0.98 5.85 .1899 1 0.98 5.79 .1900 1 0.98 6.01 .1901 2 0.98 6.23 .1902 2 0.98 6.00 .1903 2 0.98 6.28 .1904 2 0.98 6.29 .1905 2 0.98 6.27 .1906 2 0.98 6.87 .1907 1 0.98 6.32 .1908 1 0.98 6.31 .1909 1 0.98 6.31 .1910 1 0.98 6.05 .1911 1 0.98 6.06 .1912 1 0.98 5.95 .1913 2 0.98 5.85 .1914 2 0.98 5.80 .1915 3 0.98 5.87 .1916 5 0.98 5.44 .1917 2 0.98 5.69 .1918 1 0.98 5.30 .1919 2 0.98 5.45 .1920 1 0.98 5.23 .1921 1 0.98 6.41 .1922 1 0.98 5.51 .1923 2 0.98 5.49 .1924 1 0.98 6.49 .1925 3 0.98 6.00 .1926 1 0.98 5.90 .1927 1 0.98 5.97 .1928 2 0.98 5.67 .1929 1 0.98 6.17 .1930 2 0.98 6.57 .1931 3 0.98 6.02 .1932 2 0.98 6.36 .1933 3 0.98 6.05 .1934 1 0.98 6.20 .1935 2 0.98 6.34 .1936 2 0.98 6.37 .1937 1 0.98 6.25 .1938 1 0.98 6.22 .1939 1 0.98 6.26 .1940 1 0.98 6.40 .1941 3 0.98 6.10 .1942 3 0.98 6.18 .1943 1 0.98 6.57 .1944 5 0.98 6.79 .1945 2 0.98 6.69 .1946 1 0.98 6.35 .1947 2 0.98 6.98 .1948 3 0.98 6.20 .1949 1 0.98 5.98 .1950 1 0.98 6.78 .1951 2 0.98 6.13 .1952 2 0.98 5.73 .1953 1 0.98 5.98 .1954 1 0.98 5.64 .1955 3 0.98 5.40 .1956 2 0.98 5.27 .1957 1 0.98 4.91 .1958 2 0.98 4.88 .1959 1 0.98 5.16 .1960 2 0.98 5.21 .1961 3 0.98 5.10 .1962 2 0.98 5.16 .1963 2 0.98 4.73 .1964 2 0.98 4.57 .1965 3 0.98 4.69 .1966 2 0.98 4.93 .1967 1 0.98 4.47 .1968 1 0.98 4.85 .1969 1 0.98 4.77 .1970 1 0.98 4.94 .1971 3 0.98 4.84 .1972 2 0.98 4.75 .1973 2 0.98 4.77 .1974 1 0.98 4.86 .1975 2 0.98 4.90 .1976 2 0.98 5.00 .1977 1 0.98 5.19 .1978 3 0.98 5.40 .1979 2 0.98 5.87 .1980 3 0.98 5.23 .1981 2 0.98 5.92 .1982 2 0.98 6.31 .1983 1 0.98 5.40 .1984 2 0.98 5.46 .1985 3 0.98 5.59 .1986 1 0.98 5.57 .1987 2 0.98 5.71 .1988 2 0.98 6.53 .1989 1 0.98 6.14 .1990 1 0.98 5.60 .1991 1 0.98 5.86 .1992 2 0.98 5.85 .1993 1 0.98 5.86 .1994 3 0.98 5.98 .1995 1 0.98 5.54 .1996 1 0.98 5.83 .1997 2 0.98 6.35 .1998 2 0.98 6.10 .1999 2 0.98 5.66 .2000 1 0.98 5.59 .2001 2 0.98 5.40 .2002 1 0.98 5.54 .2003 1 0.98 5.50 .2004 2 0.98 5.27 .2005 1 0.98 5.38 .2006 1 0.98 5.21 .2007 1 0.98 5.03 .2008 2 0.98 5.18 .2009 4 0.98 5.09 .2010 3 0.98 4.60 .2011 3 0.98 4.73 .2012 2 0.98 4.59 .2013 2 0.98 4.41 .2014 1 0.98 4.31 .2015 2 0.98 4.02 .2016 1 0.98 4.09 .2017 2 0.98 4.05 .2018 2 0.98 4.27 .2019 1 0.98 3.92 .2020 2 0.98 3.85 .2021 1 0.98 3.98 .2022 3 0.98 3.99 .2023 4 0.98 3.94 .2024 3 0.98 3.88 .2025 2 0.98 3.92 .2026 3 0.98 3.89 .2027 2 0.98 4.06 .2028 2 0.98 3.97 .2029 1 0.98 4.03 .2030 1 0.98 4.13 .2031 2 0.98 4.06 .2032 1 0.98 4.29 .2033 3 0.98 4.23 .2034 1 0.98 4.36 .2035 2 0.98 4.27 .2036 1 0.98 4.47 .2037 3 0.98 4.49 .2038 2 0.97 4.57 .2039 2 0.97 4.80 .2040 3 0.97 4.70 .2041 3 0.97 5.00 .2042 1 0.97 5.04 .2043 1 0.97 4.82 .2044 1 0.97 4.46 .2045 2 0.97 4.67 .2046 2 0.97 4.68 .2047 3 0.97 4.51 EXTRACT_IMAGE: sdR-b1-00034587.fit: masked 1113 pixels EXTRACT_OBJECT: sdR-b1-00034587.fit: Step 2: Find scattered light image % Compiled module: CALCSCATIMAGE. % Compiled module: VARIANCE. % Compiled module: QAPLOT_SCATLIGHT. QAPLOT_SCATLIGHT: sdR-b1-00034587.fit: WARNING: Scattered light median = 136.828 electrons QAPLOT_SCATLIGHT: sdR-b1-00034587.fit: WARNING: Scattered light max = 418.387 electrons % Compiled module: DJS_OPLOTERR. EXTRACT_OBJECT: sdR-b1-00034587.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034587.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034587.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034587.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 64 0.02 0.11 Step 10 of 2080 0.61 64 0.02 0.11 Step 14 of 2080 0.61 64 0.02 0.11 Step 18 of 2080 0.61 64 0.02 0.12 Step 22 of 2080 0.61 64 0.02 0.13 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.02 0.11 Step 34 of 2080 0.61 64 0.03 0.12 Step 38 of 2080 0.61 64 0.02 0.14 Step 42 of 2080 0.61 64 0.03 0.12 Step 46 of 2080 0.61 64 0.03 0.12 Step 50 of 2080 0.61 64 0.03 0.11 Step 54 of 2080 0.61 64 0.03 0.12 Step 58 of 2080 0.61 64 0.03 0.13 Step 62 of 2080 0.61 64 0.03 0.11 Step 66 of 2080 0.61 64 0.02 0.12 Step 70 of 2080 0.61 64 0.03 0.11 Step 74 of 2080 0.61 64 0.03 0.12 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.02 0.11 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.60 64 0.03 0.13 Step 94 of 2080 0.60 64 0.03 0.13 Step 98 of 2080 0.60 64 0.02 0.11 Step 102 of 2080 0.60 64 0.02 0.11 Step 106 of 2080 0.60 64 0.02 0.11 Step 110 of 2080 0.60 64 0.02 0.11 Step 114 of 2080 0.60 64 0.02 0.12 Step 118 of 2080 0.60 64 0.03 0.13 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.03 0.11 Step 130 of 2080 0.60 64 0.03 0.11 Step 134 of 2080 0.60 64 0.02 0.11 Step 138 of 2080 0.60 64 0.03 0.11 Step 142 of 2080 0.60 64 0.03 0.11 Step 146 of 2080 0.60 64 0.03 0.11 Step 150 of 2080 0.60 64 0.03 0.12 Step 154 of 2080 0.60 64 0.03 0.12 Step 158 of 2080 0.60 64 0.03 0.11 Step 162 of 2080 0.60 64 0.03 0.11 Step 166 of 2080 0.60 64 0.03 0.12 Step 170 of 2080 0.59 64 0.03 0.12 Step 174 of 2080 0.59 64 0.03 0.11 Step 178 of 2080 0.59 64 0.03 0.12 Step 182 of 2080 0.59 64 0.03 0.13 Step 186 of 2080 0.59 64 0.03 0.12 Step 190 of 2080 0.59 64 0.03 0.11 Step 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Step 1882 of 2080 0.40 64 0.04 0.12 Step 1886 of 2080 0.40 64 0.04 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.04 0.13 Step 1898 of 2080 0.40 64 0.04 0.13 Step 1902 of 2080 0.40 64 0.04 0.14 Step 1906 of 2080 0.39 64 0.04 0.14 Step 1910 of 2080 0.39 64 0.04 0.14 Step 1914 of 2080 0.39 64 0.04 0.14 Step 1918 of 2080 0.39 64 0.04 0.14 Step 1922 of 2080 0.39 64 0.04 0.16 Step 1926 of 2080 0.39 64 0.04 0.15 Step 1930 of 2080 0.39 64 0.04 0.15 Step 1934 of 2080 0.39 64 0.03 0.13 Step 1938 of 2080 0.39 64 0.03 0.13 Step 1942 of 2080 0.39 64 0.03 0.13 Step 1946 of 2080 0.39 64 0.03 0.13 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.12 Step 1958 of 2080 0.39 64 0.03 0.11 Step 1962 of 2080 0.39 64 0.03 0.13 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.04 0.12 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.04 0.12 Step 2002 of 2080 0.39 64 0.04 0.12 Step 2006 of 2080 0.38 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.02 0.12 Step 2018 of 2080 0.38 64 0.02 0.12 Step 2022 of 2080 0.38 64 0.03 0.13 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.03 0.11 Step 2038 of 2080 0.38 64 0.03 0.11 Step 2042 of 2080 0.38 64 0.03 0.11 Step 2046 of 2080 0.38 32 0.02 0.06 Step 2050 of 2080 0.38 32 0.02 0.05 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.02 0.06 Step 2074 of 2080 0.38 32 0.02 0.07 Step 2078 of 2080 0.38 32 0.02 0.07 EXTRACT_OBJECT: sdR-b1-00034587.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 2 0.93 2.92 .0004 2 0.93 2.80 .0005 2 0.93 2.64 .0006 1 0.93 2.78 .0007 2 0.93 2.83 .0008 2 0.93 2.97 .0009 2 0.93 3.08 .0010 1 0.93 3.11 .0011 2 0.93 3.06 .0012 2 0.93 3.17 .0013 2 0.93 3.36 .0014 2 0.93 3.45 .0015 2 0.93 3.35 .0016 1 0.93 3.44 .0017 1 0.93 3.89 .0018 1 0.93 3.85 .0019 1 0.93 4.38 .0020 3 0.93 4.20 .0021 3 0.94 4.48 .0022 1 0.94 4.15 .0023 1 0.94 4.72 .0024 1 0.94 4.56 .0025 2 0.94 5.33 .0026 3 0.94 5.08 .0027 2 0.94 5.94 .0028 1 0.94 5.73 .0029 2 0.94 6.20 .0030 1 0.94 6.91 .0031 2 0.94 6.52 .0032 1 0.94 6.72 .0033 1 0.94 7.32 .0034 1 0.94 7.14 .0035 1 0.94 7.51 .0036 1 0.94 8.11 .0037 1 0.94 7.82 .0038 3 0.94 8.70 .0039 1 0.94 8.40 .0040 2 0.94 7.88 .0041 1 0.94 7.93 .0042 1 0.94 7.15 .0043 2 0.94 7.10 .0044 1 0.94 6.23 .0045 3 0.94 6.17 .0046 2 0.94 5.93 .0047 2 0.94 6.12 .0048 3 0.94 5.83 .0049 1 0.94 6.11 .0050 1 0.94 5.72 .0051 1 0.94 5.75 .0052 1 0.94 5.94 .0053 2 0.94 5.88 .0054 2 0.94 6.12 .0055 2 0.94 6.02 .0056 2 0.94 5.98 .0057 1 0.94 5.78 .0058 3 0.94 5.77 .0059 2 0.94 6.11 .0060 1 0.94 5.69 .0061 1 0.94 5.77 .0062 1 0.94 5.60 .0063 2 0.94 5.52 .0064 1 0.94 5.55 .0065 1 0.94 5.72 .0066 2 0.94 5.88 .0067 2 0.95 5.98 .0068 1 0.95 5.94 .0069 3 0.95 5.59 .0070 1 0.95 6.12 .0071 2 0.95 5.56 .0072 2 0.95 5.87 .0073 3 0.95 5.83 .0074 2 0.95 6.00 .0075 2 0.95 5.90 .0076 2 0.95 6.12 .0077 1 0.95 5.87 .0078 1 0.95 5.78 .0079 2 0.95 5.98 .0080 2 0.95 5.59 .0081 1 0.95 5.72 .0082 2 0.95 5.64 .0083 1 0.95 5.72 .0084 2 0.95 6.01 .0085 1 0.95 5.86 .0086 1 0.95 5.83 .0087 2 0.95 6.09 .0088 3 0.95 6.22 .0089 2 0.95 6.32 .0090 2 0.95 6.07 .0091 2 0.95 5.86 .0092 2 0.95 5.60 .0093 1 0.95 5.94 .0094 2 0.95 5.84 .0095 2 0.95 5.80 .0096 1 0.95 5.95 .0097 2 0.95 5.91 .0098 2 0.95 6.22 .0099 4 0.95 5.76 .0100 1 0.95 5.98 .0101 2 0.95 5.89 .0102 2 0.95 6.44 .0103 3 0.95 6.37 .0104 2 0.95 5.96 .0105 2 0.95 5.75 .0106 1 0.95 5.97 .0107 3 0.95 5.96 .0108 1 0.95 6.16 .0109 2 0.95 6.17 .0110 2 0.95 5.93 .0111 1 0.95 5.92 .0112 1 0.95 6.06 .0113 3 0.95 5.74 .0114 1 0.95 5.82 .0115 2 0.95 5.77 .0116 2 0.95 5.69 .0117 1 0.95 6.06 .0118 3 0.95 6.02 .0119 2 0.95 5.89 .0120 2 0.95 5.79 .0121 1 0.95 5.58 .0122 1 0.95 5.73 .0123 1 0.95 5.54 .0124 1 0.95 5.54 .0125 2 0.95 6.08 .0126 3 0.96 6.33 .0127 2 0.96 6.28 .0128 2 0.96 6.16 .0129 4 0.96 5.48 .0130 2 0.96 5.98 .0131 2 0.96 6.17 .0132 5 0.96 5.33 .0133 1 0.96 5.22 .0134 1 0.96 5.32 .0135 1 0.96 5.55 .0136 1 0.96 5.36 .0137 3 0.96 5.47 .0138 2 0.96 5.47 .0139 2 0.96 5.45 .0140 2 0.96 5.20 .0141 2 0.96 5.13 .0142 2 0.96 5.14 .0143 1 0.96 5.30 .0144 1 0.96 5.11 .0145 1 0.96 5.25 .0146 1 0.96 5.13 .0147 1 0.96 5.05 .0148 1 0.96 5.09 .0149 2 0.96 5.35 .0150 1 0.96 5.67 .0151 2 0.96 5.21 .0152 3 0.96 5.20 .0153 2 0.96 5.62 .0154 1 0.96 5.59 .0155 2 0.96 5.52 .0156 3 0.96 5.59 .0157 1 0.96 5.39 .0158 2 0.96 5.73 .0159 2 0.96 5.30 .0160 2 0.96 5.33 .0161 2 0.96 5.15 .0162 2 0.96 5.50 .0163 1 0.96 6.16 .0164 2 0.96 5.29 .0165 1 0.96 5.35 .0166 3 0.96 5.57 .0167 1 0.96 6.23 .0168 1 0.96 5.36 .0169 1 0.96 5.76 .0170 2 0.96 5.95 .0171 1 0.96 5.70 .0172 2 0.96 5.61 .0173 2 0.96 5.68 .0174 3 0.96 5.64 .0175 1 0.96 5.78 .0176 1 0.96 5.56 .0177 2 0.96 5.81 .0178 2 0.96 5.71 .0179 1 0.96 5.45 .0180 2 0.96 5.73 .0181 1 0.96 5.60 .0182 2 0.96 5.77 .0183 2 0.96 6.14 .0184 2 0.96 5.64 .0185 2 0.96 5.54 .0186 1 0.96 5.97 .0187 1 0.96 5.77 .0188 2 0.96 5.94 .0189 1 0.96 5.79 .0190 3 0.96 5.73 .0191 1 0.96 5.73 .0192 1 0.96 5.79 .0193 2 0.96 5.94 .0194 2 0.96 5.93 .0195 1 0.96 6.02 .0196 1 0.96 5.73 .0197 2 0.96 6.02 .0198 2 0.96 6.10 .0199 3 0.96 6.32 .0200 3 0.96 6.20 .0201 1 0.96 6.20 .0202 1 0.96 6.25 .0203 1 0.96 5.82 .0204 1 0.96 6.10 .0205 1 0.96 6.02 .0206 1 0.96 6.15 .0207 2 0.96 5.90 .0208 3 0.96 6.16 .0209 2 0.96 6.39 .0210 1 0.96 5.76 .0211 3 0.96 5.72 .0212 1 0.96 5.89 .0213 2 0.96 5.73 .0214 2 0.97 5.64 .0215 1 0.97 6.00 .0216 1 0.97 6.28 .0217 2 0.97 5.86 .0218 1 0.97 5.90 .0219 2 0.97 5.81 .0220 1 0.97 6.43 .0221 1 0.97 6.51 .0222 2 0.97 7.39 .0223 3 0.97 6.63 .0224 2 0.97 6.73 .0225 2 0.97 6.81 .0226 3 0.97 6.76 .0227 2 0.97 7.18 .0228 2 0.97 7.23 .0229 1 0.97 7.14 .0230 2 0.97 7.09 .0231 2 0.97 7.32 .0232 3 0.97 7.49 .0233 2 0.97 7.31 .0234 2 0.97 7.21 .0235 2 0.97 7.94 .0236 2 0.97 7.88 .0237 1 0.97 7.74 .0238 1 0.97 7.27 .0239 1 0.97 7.44 .0240 2 0.97 7.72 .0241 2 0.97 7.40 .0242 1 0.97 7.39 .0243 3 0.97 7.59 .0244 2 0.97 7.83 .0245 2 0.97 7.86 .0246 1 0.97 8.02 .0247 1 0.97 7.79 .0248 1 0.97 7.58 .0249 1 0.97 7.88 .0250 1 0.97 7.85 .0251 3 0.97 7.75 .0252 1 0.97 8.19 .0253 1 0.97 8.26 .0254 1 0.97 8.20 .0255 1 0.97 9.50 .0256 2 0.97 8.30 .0257 2 0.97 8.27 .0258 3 0.97 8.12 .0259 2 0.97 8.28 .0260 1 0.97 8.40 .0261 1 0.97 8.20 .0262 1 0.97 8.12 .0263 1 0.97 8.36 .0264 2 0.97 8.45 .0265 1 0.97 8.22 .0266 1 0.97 8.60 .0267 2 0.97 8.51 .0268 1 0.97 8.29 .0269 1 0.97 8.32 .0270 1 0.97 8.48 .0271 2 0.97 8.37 .0272 1 0.97 8.86 .0273 1 0.97 8.50 .0274 2 0.97 8.60 .0275 1 0.97 9.29 .0276 1 0.97 8.61 .0277 1 0.97 8.53 .0278 2 0.97 8.48 .0279 2 0.97 8.35 .0280 1 0.97 8.40 .0281 1 0.97 8.68 .0282 1 0.97 8.68 .0283 1 0.97 9.25 .0284 1 0.97 8.58 .0285 1 0.97 8.57 .0286 1 0.97 8.69 .0287 1 0.97 8.91 .0288 1 0.97 8.76 .0289 3 0.97 8.68 .0290 1 0.97 8.90 .0291 1 0.97 9.03 .0292 2 0.97 8.77 .0293 1 0.97 9.14 .0294 1 0.97 8.98 .0295 1 0.97 8.68 .0296 1 0.97 8.64 .0297 1 0.97 8.92 .0298 1 0.97 8.68 .0299 1 0.97 8.54 .0300 2 0.97 8.49 .0301 2 0.97 9.31 .0302 2 0.97 8.68 .0303 2 0.97 9.26 .0304 1 0.97 8.91 .0305 1 0.97 9.18 .0306 3 0.97 9.06 .0307 1 0.97 8.96 .0308 1 0.97 8.73 .0309 1 0.97 9.02 .0310 2 0.97 9.02 .0311 2 0.97 9.00 .0312 1 0.97 9.07 .0313 1 0.97 9.24 .0314 2 0.97 9.31 .0315 2 0.97 9.26 .0316 2 0.97 9.04 .0317 1 0.97 9.11 .0318 3 0.97 9.35 .0319 1 0.97 9.17 .0320 2 0.97 9.20 .0321 1 0.97 9.00 .0322 1 0.97 9.00 .0323 2 0.97 9.48 .0324 2 0.97 9.91 .0325 3 0.97 9.25 .0326 1 0.97 9.07 .0327 1 0.97 8.90 .0328 2 0.97 9.09 .0329 2 0.97 9.08 .0330 2 0.97 9.22 .0331 1 0.97 9.10 .0332 1 0.97 8.92 .0333 1 0.97 9.31 .0334 1 0.97 9.49 .0335 3 0.97 9.24 .0336 2 0.97 9.62 .0337 2 0.97 9.67 .0338 2 0.97 8.92 .0339 2 0.97 8.96 .0340 1 0.97 9.06 .0341 2 0.97 8.85 .0342 1 0.97 9.25 .0343 1 0.97 9.01 .0344 1 0.97 8.99 .0345 1 0.97 8.93 .0346 1 0.97 8.67 .0347 1 0.97 8.99 .0348 2 0.97 9.31 .0349 1 0.97 9.41 .0350 1 0.97 9.24 .0351 1 0.97 8.94 .0352 1 0.97 8.53 .0353 2 0.98 8.80 .0354 3 0.98 8.60 .0355 1 0.98 10.43 .0356 4 0.98 8.77 .0357 1 0.98 9.31 .0358 1 0.98 8.47 .0359 1 0.98 8.95 .0360 1 0.98 8.64 .0361 3 0.98 8.31 .0362 3 0.98 8.45 .0363 2 0.98 8.92 .0364 3 0.98 8.44 .0365 1 0.98 8.97 .0366 1 0.98 8.26 .0367 1 0.98 8.58 .0368 1 0.98 8.50 .0369 1 0.98 8.66 .0370 3 0.98 8.75 .0371 2 0.98 9.07 .0372 3 0.98 8.76 .0373 2 0.98 8.78 .0374 2 0.98 8.55 .0375 2 0.98 9.00 .0376 1 0.98 8.83 .0377 2 0.98 8.59 .0378 1 0.98 8.96 .0379 1 0.98 9.04 .0380 3 0.98 8.69 .0381 3 0.98 9.00 .0382 2 0.98 8.84 .0383 2 0.98 9.44 .0384 3 0.98 9.36 .0385 2 0.98 8.96 .0386 2 0.98 8.67 .0387 2 0.98 8.96 .0388 1 0.98 8.70 .0389 1 0.98 8.85 .0390 1 0.98 8.94 .0391 1 0.98 8.64 .0392 1 0.98 8.65 .0393 3 0.98 9.48 .0394 2 0.98 9.65 .0395 2 0.98 9.58 .0396 2 0.98 8.81 .0397 3 0.98 8.96 .0398 2 0.98 9.28 .0399 1 0.98 8.44 .0400 2 0.98 8.83 .0401 1 0.98 8.23 .0402 1 0.98 8.32 .0403 2 0.98 8.50 .0404 1 0.98 9.16 .0405 1 0.98 8.54 .0406 1 0.98 8.78 .0407 2 0.98 9.22 .0408 1 0.98 8.40 .0409 1 0.98 8.63 .0410 1 0.98 8.66 .0411 1 0.98 8.59 .0412 1 0.98 9.42 .0413 3 0.98 9.12 .0414 2 0.98 9.02 .0415 2 0.98 9.96 .0416 3 0.98 8.88 .0417 3 0.98 8.65 .0418 2 0.98 8.30 .0419 2 0.98 8.98 .0420 2 0.98 8.58 .0421 3 0.98 9.18 .0422 2 0.98 8.50 .0423 2 0.98 8.89 .0424 2 0.98 8.87 .0425 2 0.98 8.83 .0426 2 0.98 8.98 .0427 1 0.98 8.43 .0428 1 0.98 8.32 .0429 1 0.98 8.87 .0430 1 0.98 8.29 .0431 1 0.98 8.52 .0432 1 0.98 8.07 .0433 1 0.98 8.18 .0434 2 0.98 8.20 .0435 1 0.98 8.49 .0436 1 0.98 8.16 .0437 1 0.98 8.55 .0438 1 0.98 9.30 .0439 3 0.98 8.68 .0440 1 0.98 8.13 .0441 2 0.98 8.34 .0442 1 0.98 8.09 .0443 1 0.98 8.25 .0444 2 0.98 9.06 .0445 2 0.98 8.44 .0446 1 0.98 8.10 .0447 2 0.98 8.14 .0448 1 0.98 8.67 .0449 2 0.98 8.33 .0450 1 0.98 8.42 .0451 1 0.98 8.48 .0452 2 0.98 8.72 .0453 2 0.98 8.24 .0454 1 0.98 8.63 .0455 2 0.98 8.22 .0456 1 0.98 8.30 .0457 1 0.98 8.44 .0458 1 0.98 8.27 .0459 1 0.98 8.63 .0460 1 0.98 8.29 .0461 2 0.98 8.27 .0462 2 0.98 8.16 .0463 1 0.98 8.59 .0464 1 0.98 8.61 .0465 1 0.98 8.68 .0466 1 0.98 9.06 .0467 1 0.98 8.77 .0468 1 0.98 9.43 .0469 2 0.98 9.06 .0470 2 0.98 8.57 .0471 1 0.98 8.62 .0472 1 0.98 8.58 .0473 2 0.98 8.61 .0474 2 0.98 9.41 .0475 3 0.98 9.89 .0476 3 0.98 8.95 .0477 2 0.98 8.42 .0478 1 0.98 8.31 .0479 1 0.98 8.26 .0480 2 0.98 8.86 .0481 2 0.98 8.24 .0482 1 0.98 8.24 .0483 1 0.98 8.61 .0484 2 0.98 8.31 .0485 2 0.98 8.42 .0486 1 0.98 8.62 .0487 1 0.98 8.87 .0488 2 0.98 8.78 .0489 3 0.98 9.04 .0490 1 0.98 8.84 .0491 1 0.98 8.38 .0492 1 0.98 8.35 .0493 1 0.98 8.44 .0494 1 0.98 9.00 .0495 3 0.98 8.80 .0496 2 0.98 8.50 .0497 2 0.98 8.86 .0498 1 0.98 8.80 .0499 1 0.98 8.34 .0500 1 0.98 8.29 .0501 2 0.98 8.63 .0502 2 0.98 8.38 .0503 1 0.98 8.51 .0504 1 0.98 8.11 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0.98 8.25 .0561 3 0.98 8.93 .0562 2 0.98 8.26 .0563 1 0.98 8.63 .0564 2 0.98 8.01 .0565 2 0.98 8.27 .0566 2 0.98 7.98 .0567 2 0.98 7.83 .0568 1 0.98 7.94 .0569 1 0.98 8.59 .0570 1 0.98 8.26 .0571 1 0.98 8.03 .0572 2 0.98 7.65 .0573 1 0.98 7.78 .0574 1 0.98 8.20 .0575 1 0.98 8.31 .0576 2 0.98 8.14 .0577 2 0.98 8.51 .0578 2 0.98 8.09 .0579 2 0.98 8.28 .0580 1 0.98 8.13 .0581 2 0.98 8.35 .0582 1 0.98 8.48 .0583 1 0.98 8.26 .0584 1 0.98 8.86 .0585 2 0.98 8.08 .0586 1 0.98 8.31 .0587 2 0.98 9.02 .0588 2 0.98 8.17 .0589 1 0.98 8.12 .0590 2 0.98 7.83 .0591 3 0.98 7.99 .0592 3 0.98 7.79 .0593 2 0.98 7.74 .0594 4 0.98 7.70 .0595 2 0.98 8.19 .0596 2 0.98 8.47 .0597 3 0.98 7.85 .0598 1 0.98 8.23 .0599 1 0.98 7.75 .0600 1 0.98 7.65 .0601 1 0.98 7.98 .0602 2 0.98 7.87 .0603 2 0.98 8.41 .0604 1 0.98 8.84 .0605 2 0.98 7.58 .0606 1 0.98 7.67 .0607 1 0.98 7.64 .0608 1 0.98 8.37 .0609 1 0.98 7.49 .0610 1 0.98 7.38 .0611 1 0.98 7.73 .0612 1 0.98 7.47 .0613 1 0.98 8.08 .0614 1 0.98 7.41 .0615 1 0.98 7.70 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0.98 2.31 .2004 2 0.98 2.18 .2005 1 0.98 2.18 .2006 1 0.98 2.22 .2007 1 0.98 2.11 .2008 3 0.98 2.19 .2009 4 0.98 2.05 .2010 3 0.98 2.05 .2011 3 0.98 1.90 .2012 2 0.98 2.00 .2013 3 0.98 1.96 .2014 2 0.98 1.91 .2015 2 0.98 1.80 .2016 1 0.98 1.78 .2017 2 0.98 1.81 .2018 2 0.98 1.88 .2019 1 0.98 1.71 .2020 2 0.98 1.69 .2021 1 0.98 1.85 .2022 3 0.98 1.78 .2023 4 0.98 1.84 .2024 2 0.98 1.58 .2025 2 0.98 1.76 .2026 3 0.98 1.77 .2027 2 0.98 1.78 .2028 2 0.98 1.64 .2029 1 0.98 1.68 .2030 1 0.98 1.80 .2031 2 0.98 1.68 .2032 1 0.98 1.62 .2033 3 0.98 1.72 .2034 1 0.98 1.71 .2035 2 0.98 1.71 .2036 1 0.98 1.85 .2037 3 0.98 1.83 .2038 3 0.97 1.89 .2039 2 0.97 2.00 .2040 3 0.97 1.81 .2041 3 0.97 1.80 .2042 3 0.97 2.12 .2043 2 0.97 1.77 .2044 1 0.97 1.96 .2045 3 0.97 1.90 .2046 3 0.97 2.01 .2047 2 0.97 2.07 EXTRACT_IMAGE: sdR-b1-00034587.fit: masked 2057 pixels EXTRACT_OBJECT: sdR-b1-00034587.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034587.fit: WARNING: Scattered light median = 32.5552 electrons QAPLOT_SCATLIGHT: sdR-b1-00034587.fit: WARNING: Scattered light max = 190.127 electrons EXTRACT_OBJECT: sdR-b1-00034587.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 2 0.93 14.33 .0004 3 0.93 11.19 .0005 2 0.93 9.64 .0006 1 0.93 8.04 .0007 2 0.93 7.69 .0008 2 0.93 7.23 .0009 2 0.93 7.02 .0010 1 0.93 6.35 .0011 2 0.93 6.00 .0012 2 0.93 5.63 .0013 2 0.93 5.69 .0014 2 0.93 4.94 .0015 2 0.93 4.58 .0016 1 0.93 4.45 .0017 2 0.93 4.52 .0018 2 0.93 4.07 .0019 2 0.93 4.27 .0020 3 0.93 4.42 .0021 3 0.94 4.56 .0022 1 0.94 4.21 .0023 1 0.94 4.81 .0024 1 0.94 4.87 .0025 3 0.94 5.48 .0026 3 0.94 5.91 .0027 2 0.94 6.57 .0028 2 0.94 6.99 .0029 2 0.94 8.05 .0030 1 0.94 9.40 .0031 2 0.94 9.56 .0032 1 0.94 10.64 .0033 2 0.94 11.20 .0034 1 0.94 11.98 .0035 1 0.94 13.05 .0036 1 0.94 14.18 .0037 1 0.94 13.86 .0038 3 0.94 15.45 .0039 1 0.94 14.32 .0040 2 0.94 13.60 .0041 1 0.94 12.99 .0042 1 0.94 11.93 .0043 2 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0.98 2.35 .1983 1 0.98 2.36 .1984 3 0.98 2.39 .1985 3 0.98 2.49 .1986 1 0.98 2.46 .1987 2 0.98 2.48 .1988 3 0.98 2.31 .1989 3 0.98 2.35 .1990 2 0.98 2.14 .1991 1 0.98 2.33 .1992 2 0.98 2.38 .1993 3 0.98 2.24 .1994 4 0.98 2.24 .1995 1 0.98 2.27 .1996 1 0.98 2.40 .1997 3 0.98 2.37 .1998 4 0.98 2.27 .1999 3 0.98 2.21 .2000 2 0.98 2.33 .2001 3 0.98 2.24 .2002 1 0.98 2.39 .2003 1 0.98 2.38 .2004 3 0.98 2.15 .2005 2 0.98 2.22 .2006 2 0.98 2.18 .2007 2 0.98 2.16 .2008 3 0.98 2.22 .2009 4 0.98 2.08 .2010 4 0.98 2.12 .2011 4 0.98 1.96 .2012 4 0.98 2.05 .2013 3 0.98 1.93 .2014 2 0.98 1.96 .2015 3 0.98 1.80 .2016 2 0.98 1.81 .2017 2 0.98 1.95 .2018 2 0.98 1.97 .2019 1 0.98 1.76 .2020 2 0.98 1.75 .2021 2 0.98 1.81 .2022 4 0.98 1.79 .2023 4 0.98 1.78 .2024 2 0.98 1.67 .2025 3 0.98 1.71 .2026 2 0.98 1.78 .2027 3 0.98 1.70 .2028 3 0.98 1.62 .2029 1 0.98 1.68 .2030 1 0.98 1.79 .2031 2 0.98 1.74 .2032 1 0.98 1.65 .2033 3 0.98 1.78 .2034 1 0.98 1.79 .2035 2 0.98 1.77 .2036 2 0.98 1.89 .2037 3 0.98 1.94 .2038 3 0.97 1.98 .2039 3 0.97 2.00 .2040 3 0.97 1.98 .2041 3 0.97 1.98 .2042 3 0.97 2.20 .2043 2 0.97 1.98 .2044 1 0.97 2.19 .2045 3 0.97 2.11 .2046 4 0.97 2.14 .2047 4 0.97 2.18 EXTRACT_IMAGE: sdR-b1-00034587.fit: masked 3930 pixels % Compiled module: DIVIDEFLAT. DIVIDEFLAT: sdR-b1-00034587.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034587.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034587.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034587.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034587.fit: Warning: Reject 448 low points in trace 279 DIVIDEFLAT: sdR-b1-00034587.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034587.fit: Warning: Reject 2048 low points in trace 294 % Compiled module: LOCATESKYLINES_2. LOCATESKYLINES_2: sdR-b1-00034587.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 % Compiled module: TRACE_GWEIGHT. LOCATESKYLINES_2: sdR-b1-00034587.fit: sky shift reference line, offset: 5577.3390 -0.065116132 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 8 -0.25000000 -121.01140 0.0000000 1.0000000 -49.540657 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 17 -0.25000000 -145.45944 0.0000000 1.0000000 -50.968052 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 28 0.94643031 -32.238967 -0.45043044 1.4458556 82.271726 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 32 2.0392292 -66.929946 -0.69496591 0.95776575 68.706281 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 43 1.8348258 -23.689138 0.99645685 2.0000000 50.527368 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 44 0.28508406 -9.8670694 0.50030261 1.1558418 70.689408 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 70 2.1552279 -7.4621214 -0.63665510 1.1738485 73.163344 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 78 1.0670155 -31.068278 -0.31449380 0.80299833 64.229008 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 89 4.4469919 21.512114 -0.58346605 0.60000000 69.255218 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 95 1.1115177 -39.393876 -0.14019321 1.0054478 47.496806 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 101 0.48641388 40.402348 0.25886884 0.60000000 71.244527 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 123 0.86300138 42.365516 0.26020021 0.81342465 29.496748 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 124 1.4720095 -26.361118 -0.93250414 1.7518489 61.295025 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 126 0.87792256 -12.586985 -0.44557486 1.1727361 109.10223 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 134 0.50202429 -45.387471 0.65607143 0.76096262 86.932283 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 156 0.60136610 23.217356 -0.23129087 2.0000000 49.781952 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 203 0.54852929 0.13306818 1.0000000 2.0000000 24.629333 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 216 1.1759232 -4.8398148 -0.60574201 2.0000000 64.615764 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 218 1.1622261 -17.229498 0.32560118 0.60000000 93.446941 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 245 0.78140370 8.5365634 0.019311154 0.94814903 95.614813 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 255 1.4967166 12.721569 -0.46323359 1.2459669 68.474582 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 262 1.1062590 -9.4679544 -0.80871924 0.60000000 48.291482 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 267 1.8381882 -86.615722 -1.0000000 2.0000000 100.96429 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 273 -0.25000000 -97.370071 0.0000000 1.0000000 -18.224798 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 283 0.41352944 -41.414634 -0.28329059 0.61570059 112.65687 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 289 0.53449085 -40.185220 -0.0098838183 1.3330438 68.547706 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 311 0.68593289 -22.609566 -0.40204161 1.2860841 67.490249 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 314 0.51744234 -45.280367 -0.12865725 0.85991092 72.453879 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 0 317 0.98639208 -24.601416 -0.41637448 0.68529711 73.651328 LOCATESKYLINES_2: sdR-b1-00034587.fit: trimmed 1high points: 1.1176082 LOCATESKYLINES_2: sdR-b1-00034587.fit: comb1 l,chi^2/dof,fit: 0 0.50572005 0.011823323 -0.22474730 1.0958124 0.87808038 LOCATESKYLINES_2: sdR-b1-00034587.fit: kept 152 of 152 points LOCATESKYLINES_2: sdR-b1-00034587.fit: offset, refoff, sigma: -0.289863-0.2247470.081301 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 8 1.3933767 -213.24012 -0.033792520 1.0217878 249.01411 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 17 -0.25000000 -254.66003 0.0000000 1.0000000 -17.342487 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 28 -0.25000000 -158.96214 0.0000000 1.0000000 -1.8302299 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 32 -0.25000000 -222.24684 0.0000000 1.0000000 -4.8798380 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 43 0.47726991 -102.00538 -0.13658992 1.0403261 209.06959 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 44 0.65898571 -94.355831 -0.24555303 1.3278298 174.92405 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 70 0.50970643 -25.409694 -0.17320840 1.1376032 213.36102 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 78 1.5038825 -48.428919 -0.27493785 0.90643564 196.11432 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 89 0.95899965 -27.693783 -0.26951122 1.0198231 204.22937 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 95 0.27805377 -44.989373 -0.32062896 1.5072627 177.64157 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 101 1.2694241 46.475279 -0.022361870 1.0716050 183.98555 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 123 1.0214031 58.989028 -0.21017239 0.96252594 197.84713 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 124 0.20955771 15.735258 -0.0043531564 0.92647949 160.14192 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 126 1.3221230 -11.720271 -0.24607287 0.85988994 209.96569 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 134 0.50670597 -29.690646 -0.33006653 0.95499105 191.91278 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 156 0.31650662 37.846798 -0.21279550 1.1722325 178.57491 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 203 1.8061062 -19.000474 -0.19545393 1.2996957 187.72600 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 216 1.0147320 -6.6845518 -0.14973413 1.2179777 188.57062 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 218 2.3370833 -6.5076859 -0.23693206 0.94495270 212.09767 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 245 0.92432683 -20.185824 -0.25383943 1.1424445 170.06762 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 255 2.6859263 -48.197362 -0.38916109 1.3185562 218.42141 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 262 0.21325633 -114.19374 -0.51877465 1.5908174 172.00106 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 267 0.15400022 -119.13787 -0.10265785 0.93190315 201.43684 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 273 0.90322113 -173.19574 -0.10320827 1.6394204 174.11493 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 283 0.46955722 -102.09071 -0.20131314 1.1212513 179.56228 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 289 0.65626178 -53.952028 -0.081321357 0.91396019 177.47216 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 311 1.0755710 -55.114461 -0.20940859 1.1269753 202.66336 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 314 1.0099084 -53.986855 0.13374922 1.0958362 189.17031 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 1 317 1.5741111 -13.174514 -0.23308446 1.0904284 197.12767 LOCATESKYLINES_2: sdR-b1-00034587.fit: comb1 l,chi^2/dof,fit: 1 0.82961516 0.0093316766 -0.18036990 1.0980379 0.97979145 LOCATESKYLINES_2: sdR-b1-00034587.fit: kept 234 of 234 points LOCATESKYLINES_2: sdR-b1-00034587.fit: offset, refoff, sigma: -0.245486-0.1803700.027286 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 8 -0.25000000 -376.48041 0.0000000 1.0000000 -122.48251 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -507.26682 0.0000000 1.0000000 -220.43021 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 28 -0.25000000 -366.53372 0.0000000 1.0000000 -118.45136 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -433.30554 0.0000000 1.0000000 -214.49290 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 43 -0.25000000 -226.41553 0.0000000 1.0000000 -13.307105 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 44 0.59499458 -159.71718 -0.0086146546 1.0244112 209.28831 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 70 2.0544276 -18.367672 0.012712759 1.1986795 249.12682 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 78 0.27992004 -70.120714 -0.38976635 1.5946328 223.85581 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 89 0.15745294 -35.124830 -0.0071884592 1.1354111 279.24682 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 95 533.94678 -59.676048 -1.0000000 0.60000000 2195.2236 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 101 0.71010997 61.206953 -0.063861251 1.3151770 231.25397 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 123 0.45450651 43.750990 0.12099137 1.3844821 252.74005 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 124 1.0545064 -19.967095 0.023682335 1.2751178 230.95917 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 126 1.4045474 -1.6893021 0.045952923 1.1594241 234.65789 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 134 1.9790823 -9.1729734 -0.19759469 0.97490372 260.92792 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 156 0.73990892 98.361409 0.053537551 1.1506351 206.92898 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 203 0.65489533 -6.2184828 -0.16739240 0.99785495 294.82654 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 216 0.25992759 2.1618936 -0.10078325 0.95630889 240.12897 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 218 0.32828309 0.46933960 0.14931459 0.97932510 251.14194 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 245 0.53479010 -7.8888956 -0.039091010 1.2126074 271.64668 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 255 0.52149040 9.8773050 0.089929215 1.1059695 256.08521 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 262 0.82202087 -62.429551 0.31304592 1.5223785 242.32296 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 267 0.92194707 -102.62027 -0.091457056 1.2624683 230.26003 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 273 0.54806638 -116.45810 0.38232557 0.96211448 228.14823 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 283 3.9590262 -41.418007 -0.13418995 0.71067019 228.88575 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 289 1.6099576 -83.367900 0.037310701 1.0764944 208.13681 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 311 0.69976844 -47.734329 0.16213750 1.2213611 231.70879 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 314 0.93857899 14.773304 -0.048301763 0.89864280 227.51751 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 2 317 0.55888001 -26.728161 -0.078479945 1.3520091 246.39744 LOCATESKYLINES_2: sdR-b1-00034587.fit: comb1 l,chi^2/dof,fit: 2 0.77931646 0.011729629 -0.00012096957 1.1419872 0.97596312 LOCATESKYLINES_2: sdR-b1-00034587.fit: kept 207 of 207 points LOCATESKYLINES_2: sdR-b1-00034587.fit: offset, refoff, sigma: -0.065237-0.0001210.029096 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 8 3.9192109 -380.56824 -0.071782636 0.89647399 4012.8731 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 17 4.4459993 -528.73497 -0.091809943 0.93749653 3766.7959 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 28 2.6942026 -401.71504 -0.081852778 0.91327495 3916.8735 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 32 2.7838726 -469.75212 -0.084463000 0.97492937 3815.3964 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 43 2.1125539 -269.39075 -0.086935264 0.95422487 3731.3283 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 44 1.6305019 -183.39102 -0.055211038 0.93859517 3817.3973 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 70 4.1739982 -69.036570 -0.046935417 0.92965098 3967.2837 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 78 18.635580 -35.913819 -0.049813938 0.91524995 3912.6080 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 89 1.8305391 -52.912123 -0.067591073 0.94215589 3898.2707 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 95 7.6994246 -53.944671 -0.034728500 0.93007118 4001.4923 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 101 12.024557 30.644012 -0.043519422 0.92320403 3946.3034 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 123 2.7233341 58.050461 0.0055009177 0.94060366 3937.1526 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 124 5.0296120 -9.4799778 -0.049754697 1.0017344 3672.1008 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 126 1.4612852 -5.9968192 -0.0095206719 0.97616395 3812.5229 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 134 2.5695966 -8.4204937 -0.021743466 0.92905419 4059.7786 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 156 2.3762324 64.799342 -0.025339822 0.95357339 3723.2902 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 203 3.3076675 -34.868358 -0.0043013067 0.97564511 3840.1809 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 216 7.3123932 -36.025213 -0.024056212 0.94569040 3880.2782 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 218 6.7570222 -36.266761 -0.033141422 0.97069416 3725.6610 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 245 1.4418395 -16.094048 -0.031702358 0.96454198 3811.6760 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 255 4.9310244 -22.205717 -0.030065958 0.97674561 3839.2546 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 262 5.0725337 -78.733125 0.00018107595 0.97921432 3767.9753 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 267 3.4198433 -194.55928 -0.014593686 0.99588333 3722.6651 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 273 1.6657855 -167.05408 -0.033703531 0.99452037 3721.6737 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 283 5.6968484 -130.28049 -0.059615848 0.98532518 3739.7913 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 289 4.3339530 -92.871589 -0.044704039 0.96742151 3921.7457 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 311 3.8120022 -68.481974 -0.035738184 0.98881452 3672.3238 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 314 2.2184701 -53.542230 0.0033770590 0.99974588 3767.1085 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 3 317 3.5589939 -12.906297 -0.022246438 0.98082854 3804.0379 LOCATESKYLINES_2: sdR-b1-00034587.fit: comb1 l,chi^2/dof,fit: 3 3.8215760 0.00015453676 -0.038993722 0.95410526 0.99989596 LOCATESKYLINES_2: sdR-b1-00034587.fit: sigma-clipped to 247 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034587.fit: comb2 l,chi^2/dof,fit: 3 2.3942425 0.00042693784 -0.043714724 0.95671597 0.99243759 LOCATESKYLINES_2: sdR-b1-00034587.fit: kept 247 of 261 points LOCATESKYLINES_2: sdR-b1-00034587.fit: offset, refoff, sigma: -0.108831-0.0437150.002869 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 8 15.427650 -226.34666 -0.075789714 0.71145017 530.84001 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 17 3.1888815 -411.94367 -0.13447434 0.91269786 606.72822 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 28 8.6768369 -294.25292 0.077246254 0.83588490 514.24520 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 32 6.4310749 -311.97439 -0.0035753314 0.83560656 581.06947 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 43 12.567662 -202.76427 -0.062003962 0.90261489 567.80382 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 44 10.008594 -132.90139 -0.086089841 0.98986473 474.69263 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 70 5.8012971 -10.843786 -0.033703636 0.90631971 563.17022 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 78 14.273270 3.2297368 -0.092731641 0.86265995 489.69601 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 89 9.1143925 12.522967 -0.019160301 0.81717570 528.74210 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 95 12.786469 -17.326249 0.048277581 0.79578197 588.48200 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 101 23.876977 140.71510 0.024199032 0.70029465 596.46482 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 123 19.267103 43.531910 0.071099367 0.87640863 517.64942 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 124 12.293993 12.377444 -0.0084961834 0.95219285 439.68960 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 126 15.679955 -39.852816 0.028766023 0.92178441 547.46614 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 134 10.463809 -76.445838 0.071182262 0.81108727 572.77151 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 156 20.994263 166.09131 0.086763254 0.86773600 469.51735 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 203 7.7891608 -24.156211 -0.034886989 0.95442679 516.77823 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 216 19.569571 47.088307 0.024689958 0.73030003 494.04222 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 218 12.439291 33.236159 0.097358037 0.83142013 444.33380 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 245 16.975986 38.671021 -0.0093273665 0.82777036 451.90869 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 255 15.501140 -0.17286033 0.096879524 0.91492160 470.52819 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 262 8.8964048 -49.466241 -0.043833432 0.92138891 507.19883 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 267 11.450064 -41.153903 -0.022529448 0.82091418 426.21113 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 273 1.9435593 -126.89948 0.072273258 0.93731643 530.95029 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 283 5.2557854 -75.246718 -0.025574167 0.88078172 561.53047 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 289 18.773267 -11.746434 0.12080825 0.76378177 459.13712 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 311 9.6962763 -38.207753 -0.035039537 0.90035266 511.32264 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 314 9.1231088 -5.0619139 0.059605883 0.91641315 500.13054 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 4 317 1.7804851 5.5645100 0.036752690 0.95983202 522.91521 LOCATESKYLINES_2: sdR-b1-00034587.fit: comb1 l,chi^2/dof,fit: 4 7.0857711 0.0013850101 0.012285270 0.85831326 0.99203477 LOCATESKYLINES_2: sdR-b1-00034587.fit: sigma-clipped to 234 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034587.fit: comb2 l,chi^2/dof,fit: 4 1.8138490 -0.066479229 0.011796110 0.94092905 1.0408097 LOCATESKYLINES_2: sdR-b1-00034587.fit: kept 234 of 261 points LOCATESKYLINES_2: sdR-b1-00034587.fit: offset, refoff, sigma: -0.0533200.0117960.010975 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 8 28.855763 -169.27941 -0.11867255 0.69429024 273.58482 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 17 29.514862 -326.15968 -0.13370511 0.60000000 333.39219 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 28 15.221424 -223.42977 -0.10874223 0.73503994 225.94772 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 32 21.256351 -241.48998 -0.099939702 0.63986551 292.91203 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 43 16.690276 -158.41816 -0.12834979 0.75857237 305.46277 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 44 28.534108 -110.53218 -0.11143138 0.78601242 298.57067 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 70 52.877565 52.289263 -0.064642681 0.60000000 366.69869 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 78 21.827557 -14.977515 -0.0075292680 0.70847206 346.31211 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 89 43.091180 24.540213 -0.073880690 0.84032398 279.54977 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 95 53.129064 10.267479 -0.14394757 0.60000000 288.16373 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 101 73.430521 140.20786 0.026250055 0.60000000 317.06942 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 123 21.445929 52.276361 0.057249887 0.80588320 322.65424 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 124 21.326441 24.954721 0.058493428 0.80776371 264.89593 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 126 25.299272 -12.286234 0.011476599 0.83348535 293.15321 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 134 14.564003 -51.233897 0.048468097 0.71780803 286.02452 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 156 30.928398 143.77985 0.14592489 0.78737586 316.62133 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 203 26.918261 46.487834 0.088646733 0.67486457 251.29414 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 216 43.563615 42.720007 -0.044537929 0.60000000 329.61476 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 218 32.019215 49.568514 -0.21824153 0.60000000 290.07008 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 245 13.607353 0.83971297 0.12788746 0.94587860 305.85289 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 255 14.083305 20.319362 0.013311489 0.74926199 311.18237 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 262 27.388566 -29.917584 -0.0050743978 0.82177567 321.82838 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 267 13.812351 -112.08415 0.061176893 1.2020204 297.96720 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 273 24.690838 -53.732781 -0.022520413 0.60000000 272.99009 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 283 29.872406 -21.943217 -0.036258433 0.67604751 327.65796 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 289 4.6597037 -38.876799 0.059014235 0.74558316 342.55645 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 311 27.800836 -36.660696 0.049813268 0.77921160 320.92335 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 314 14.817980 -8.1284468 -0.17604897 0.81160814 291.48605 LOCATESKYLINES_2: sdR-b1-00034587.fit: l,f,chi^2/dof,c: 5 317 34.289879 59.983706 -0.049503003 0.60000000 355.82109 LOCATESKYLINES_2: sdR-b1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034587.fit: comb1 l,chi^2/dof,fit: 5 9.2195953 0.00019317559 0.0069261940 0.80000000 0.97941661 LOCATESKYLINES_2: sdR-b1-00034587.fit: sigma-clipped to 168 of 189 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034587.fit: comb2 l,chi^2/dof,fit: 5 1.3413794 -0.15178622 0.015521442 0.93874505 1.1108270 LOCATESKYLINES_2: sdR-b1-00034587.fit: kept 168 of 189 points LOCATESKYLINES_2: sdR-b1-00034587.fit: offset, refoff, sigma: -0.0495950.0155210.019513 % Compiled module: FXMOVE. % Compiled module: MATCH. MRDFITS: Binary table. 5 columns by 1 rows. % Compiled module: FITMOONPLUSLINE. % Compiled module: COSBELL. % Compiled module: MPFITFUN. Iter 1 CHI-SQUARE = 5859.5659 DOF = 1548 P(0) = -7.21574 P(1) = 0.00000 P(2) = -7.21574 P(3) = -7.21574 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 5814.9434 DOF = 1548 P(0) = -7.01647 P(1) = -0.000218250 P(2) = -5.14141 P(3) = 51.9944 P(4) = 0.000130000 P(5) = 0.336759 Iter 3 CHI-SQUARE = 5476.8163 DOF = 1548 P(0) = -6.13823 P(1) = -0.000150945 P(2) = 16.0354 P(3) = 27.4480 P(4) = 0.000130000 P(5) = 0.342538 Iter 4 CHI-SQUARE = 5314.6284 DOF = 1548 P(0) = -6.30447 P(1) = 4.31866E-05 P(2) = 9.65600 P(3) = 35.3297 P(4) = 0.000130000 P(5) = 0.348045 Iter 5 CHI-SQUARE = 5259.2056 DOF = 1548 P(0) = -6.95745 P(1) = 1.72956E-05 P(2) = -4.28707 P(3) = 50.2239 P(4) = 0.000130000 P(5) = 0.323533 Iter 6 CHI-SQUARE = 5257.8459 DOF = 1548 P(0) = -6.65294 P(1) = 2.90765E-05 P(2) = -4.95032 P(3) = 50.4223 P(4) = 0.000130000 P(5) = 0.349922 Iter 7 CHI-SQUARE = 5257.3589 DOF = 1548 P(0) = -6.92891 P(1) = 2.91596E-05 P(2) = -4.73055 P(3) = 50.6558 P(4) = 0.000130000 P(5) = 0.337508 Iter 7 CHI-SQUARE = 5257.3589 DOF = 1548 P(0) = -6.92891 P(1) = 2.91596E-05 P(2) = -4.73055 P(3) = 50.6558 P(4) = 0.000130000 P(5) = 0.337508 FITMOONPLUSLINE: sdR-b1-00034587.fit: fit coeffs: -6.9289128 2.9159628e-05 -4.7305499 50.655793 0.00013000000 0.33750772 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034587.fit: changing 4046.58 correction from -0.289863 to -0.26378968 pixels, err= 0.10370917 Iter 1 CHI-SQUARE = 31736.702 DOF = 3199 P(0) = -23.0343 P(1) = 0.00000 P(2) = -23.0343 P(3) = -23.0343 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 28214.982 DOF = 3199 P(0) = -31.0589 P(1) = -2.33031E-05 P(2) = 4.24522 P(3) = 159.632 P(4) = 0.000130000 P(5) = -0.213047 Iter 3 CHI-SQUARE = 27997.549 DOF = 3199 P(0) = -30.8433 P(1) = 3.38818E-05 P(2) = 6.55203 P(3) = 155.725 P(4) = 0.000130000 P(5) = -0.205574 Iter 4 CHI-SQUARE = 27987.979 DOF = 3199 P(0) = -31.1097 P(1) = 2.66358E-05 P(2) = 2.83317 P(3) = 162.667 P(4) = 0.000130000 P(5) = -0.213706 Iter 5 CHI-SQUARE = 27987.873 DOF = 3199 P(0) = -31.1144 P(1) = 2.77490E-05 P(2) = 2.86707 P(3) = 162.748 P(4) = 0.000130000 P(5) = -0.213836 Iter 6 CHI-SQUARE = 27987.873 DOF = 3199 P(0) = -31.1140 P(1) = 2.77059E-05 P(2) = 2.85840 P(3) = 162.751 P(4) = 0.000130000 P(5) = -0.213783 Iter 7 CHI-SQUARE = 27987.873 DOF = 3199 P(0) = -31.1137 P(1) = 2.76968E-05 P(2) = 2.84871 P(3) = 162.756 P(4) = 0.000130000 P(5) = -0.213724 Iter 8 CHI-SQUARE = 27987.873 DOF = 3199 P(0) = -31.1137 P(1) = 2.77209E-05 P(2) = 2.84877 P(3) = 162.756 P(4) = 0.000130000 P(5) = -0.213724 Iter 8 CHI-SQUARE = 27987.873 DOF = 3199 P(0) = -31.1137 P(1) = 2.77209E-05 P(2) = 2.84877 P(3) = 162.756 P(4) = 0.000130000 P(5) = -0.213724 FITMOONPLUSLINE: sdR-b1-00034587.fit: fit coeffs: -31.113701 2.7720885e-05 2.8487746 162.75557 0.00013000000 -0.21372444 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034587.fit: changing 4358.33 correction from -0.245486 to -0.25589311 pixels, err= 0.035527322 Iter 1 CHI-SQUARE = 28576.883 DOF = 1068 P(0) = -29.2712 P(1) = 0.00000 P(2) = -29.2712 P(3) = -29.2712 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 25265.106 DOF = 1068 P(0) = -49.7750 P(1) = 6.66041E-05 P(2) = -19.0612 P(3) = 216.531 P(4) = 0.000130000 P(5) = 0.447409 Iter 3 CHI-SQUARE = 24985.571 DOF = 1068 P(0) = -44.8755 P(1) = 1.32355E-05 P(2) = 106.218 P(3) = 198.981 P(4) = 0.000130000 P(5) = 0.478522 Iter 4 CHI-SQUARE = 24939.504 DOF = 1068 P(0) = -46.2157 P(1) = 1.15155E-05 P(2) = 22.0893 P(3) = 207.848 P(4) = 0.000130000 P(5) = 0.462150 Iter 5 CHI-SQUARE = 24923.612 DOF = 1068 P(0) = -49.7735 P(1) = 7.68047E-06 P(2) = -44.5045 P(3) = 218.414 P(4) = 0.000130000 P(5) = 0.419807 Iter 6 CHI-SQUARE = 24920.988 DOF = 1068 P(0) = -49.3435 P(1) = 1.02209E-05 P(2) = -19.3034 P(3) = 217.297 P(4) = 0.000130000 P(5) = 0.357101 Iter 7 CHI-SQUARE = 24919.731 DOF = 1068 P(0) = -48.7701 P(1) = 1.28941E-05 P(2) = -22.9770 P(3) = 217.275 P(4) = 0.000130000 P(5) = 0.393906 Iter 8 CHI-SQUARE = 24917.841 DOF = 1068 P(0) = -49.7980 P(1) = 1.31482E-05 P(2) = -38.3872 P(3) = 218.028 P(4) = 0.000130000 P(5) = 0.416614 Iter 9 CHI-SQUARE = 24917.783 DOF = 1068 P(0) = -49.7484 P(1) = 1.45598E-05 P(2) = -36.0739 P(3) = 217.904 P(4) = 0.000130000 P(5) = 0.418104 Iter 10 CHI-SQUARE = 24917.681 DOF = 1068 P(0) = -49.7228 P(1) = 1.42783E-05 P(2) = -42.9150 P(3) = 218.202 P(4) = 0.000130000 P(5) = 0.415687 Iter 11 CHI-SQUARE = 24917.676 DOF = 1068 P(0) = -49.7616 P(1) = 1.41781E-05 P(2) = -42.8821 P(3) = 218.240 P(4) = 0.000130000 P(5) = 0.416229 Iter 12 CHI-SQUARE = 24917.668 DOF = 1068 P(0) = -49.8207 P(1) = 1.42184E-05 P(2) = -42.3401 P(3) = 218.216 P(4) = 0.000130000 P(5) = 0.417444 Iter 13 CHI-SQUARE = 24917.667 DOF = 1068 P(0) = -49.8296 P(1) = 1.43465E-05 P(2) = -42.2334 P(3) = 218.209 P(4) = 0.000130000 P(5) = 0.416205 Iter 14 CHI-SQUARE = 24917.666 DOF = 1068 P(0) = -49.8315 P(1) = 1.42835E-05 P(2) = -42.8783 P(3) = 218.234 P(4) = 0.000130000 P(5) = 0.416476 Iter 15 CHI-SQUARE = 24917.666 DOF = 1068 P(0) = -49.8380 P(1) = 1.43148E-05 P(2) = -42.6596 P(3) = 218.229 P(4) = 0.000130000 P(5) = 0.417008 Iter 16 CHI-SQUARE = 24917.666 DOF = 1068 P(0) = -49.8287 P(1) = 1.43108E-05 P(2) = -42.7692 P(3) = 218.237 P(4) = 0.000130000 P(5) = 0.417072 Iter 16 CHI-SQUARE = 24917.666 DOF = 1068 P(0) = -49.8287 P(1) = 1.43108E-05 P(2) = -42.7692 P(3) = 218.237 P(4) = 0.000130000 P(5) = 0.417072 FITMOONPLUSLINE: sdR-b1-00034587.fit: fit coeffs: -49.828749 1.4310835e-05 -42.769204 218.23696 0.00013000000 0.41707160 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034587.fit: changing 5460.94 correction from -0.0652371 to -0.14789848 pixels, err= 0.033657807 LOCATESKYLINES_2: sdR-b1-00034587.fit: applying 0.00 pixel correction to -0.05 -0.05 0.63 % Compiled module: FITMEANX. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 FITMEANX: sdR-b1-00034587.fit: In skyline number 0 std-dev is 0.54720803 pix FITMEANX: sdR-b1-00034587.fit: In skyline number 1 std-dev is 0.13957624 pix FITMEANX: sdR-b1-00034587.fit: In skyline number 2 std-dev is 0.11924673 pix FITMEANX: sdR-b1-00034587.fit: In skyline number 3 std-dev is 0.024949880 pix FITMEANX: sdR-b1-00034587.fit: In skyline number 4 std-dev is 0.086006221 pix FITMEANX: sdR-b1-00034587.fit: In skyline number 5 std-dev is 0.093689200 pix LOCATESKYLINES_2: sdR-b1-00034587.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034587.fit: In sky feature at 4046.5600 coadded std-dev is 0.103709 pix LOCATESKYLINES_2: sdR-b1-00034587.fit: In sky feature at 4358.3300 coadded std-dev is 0.0355273 pix LOCATESKYLINES_2: sdR-b1-00034587.fit: In sky feature at 5460.9400 coadded std-dev is 0.0336578 pix LOCATESKYLINES_2: sdR-b1-00034587.fit: In sky feature at 5577.3390 coadded std-dev is 0.00286911 pix LOCATESKYLINES_2: sdR-b1-00034587.fit: In sky feature at 5889.9500 coadded std-dev is 0.0109753 pix LOCATESKYLINES_2: sdR-b1-00034587.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034587.fit: Median arc shift = -0.16666616 pix LOCATESKYLINES_2: sdR-b1-00034587.fit: Dispersion in arc shift = 0.090665598 pix LOCATESKYLINES_2: sdR-b1-00034587.fit: Maximum sky-line shift is 0.30970898 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 % Compiled module: SKYLINE_DISPERSION. SKYLINE_DISPERSION: sdR-b1-00034587.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Number of sky fibers = 29 ROW NITER SIG(med) CHI^2 .0000 9 0.89 0.73 .0001 3 0.89 0.93 .0002 2 0.89 1.47 .0003 2 0.89 1.04 .0004 4 0.89 0.84 .0005 3 0.89 0.93 .0006 4 0.89 1.02 .0007 11 0.89 0.42 .0008 1 0.89 0.12 .0009 2 0.89 1.23 .0010 3 0.89 0.84 .0011 2 0.89 1.28 .0012 7 0.89 0.68 .0013 2 0.89 0.89 .0014 2 0.89 0.77 .0015 2 0.89 0.33 .0016 7 0.89 1.40 .0017 1 0.89 0.13 .0018 11 0.89 0.62 .0019 8 0.89 1.03 .0020 2 0.91 1.41 .0021 3 0.91 0.93 .0022 3 0.91 1.14 .0023 3 0.91 1.56 .0024 9 0.91 0.73 .0025 2 0.91 1.26 .0026 2 0.91 0.68 .0027 4 0.91 0.77 .0028 1 0.91 0.13 .0029 9 0.91 0.55 .0030 5 0.91 1.26 .0031 2 0.91 0.82 .0032 1 0.91 0.11 .0033 8 0.91 0.74 .0034 5 0.91 1.17 .0035 5 0.91 1.33 .0036 10 0.91 0.40 .0037 2 0.91 2.42 .0038 6 0.91 1.02 .0039 2 0.91 0.74 .0040 2 0.91 1.35 .0041 5 0.91 1.26 .0042 5 0.91 1.61 .0043 2 0.91 0.15 .0044 1 0.91 0.09 .0045 3 0.91 1.86 .0046 2 0.91 1.11 .0047 3 0.91 1.23 .0048 2 0.91 2.28 .0049 2 0.91 1.07 .0050 2 0.91 1.58 .0051 3 0.91 1.15 .0052 2 0.91 1.43 .0053 4 0.91 1.26 .0054 2 0.91 1.09 .0055 5 0.91 0.88 .0056 4 0.91 0.99 .0057 3 0.91 1.56 .0058 5 0.91 1.04 .0059 3 0.91 0.77 .0060 1 0.88 0.25 .0061 1 0.88 0.15 .0062 1 0.88 0.17 .0063 1 0.88 0.21 .0064 1 0.88 0.24 .0065 2 0.88 0.17 .0066 3 0.88 1.63 .0067 1 0.88 0.14 .0068 1 0.88 0.15 .0069 1 0.88 0.19 .0070 1 0.88 0.12 .0071 8 0.88 0.63 .0072 1 0.88 0.11 .0073 1 0.88 0.21 .0074 1 0.88 0.12 .0075 1 0.88 0.26 .0076 4 0.88 1.09 .0077 9 0.88 1.05 .0078 3 0.88 0.16 .0079 4 0.88 1.13 .0080 4 0.90 1.38 .0081 4 0.90 0.93 .0082 2 0.90 0.93 .0083 4 0.90 1.34 .0084 8 0.90 0.83 .0085 5 0.90 0.85 .0086 4 0.90 1.54 .0087 2 0.90 1.64 .0088 3 0.90 0.86 .0089 1 0.90 0.12 .0090 0 0.90 0.00 .0091 1 0.90 0.10 .0092 2 0.90 0.73 .0093 4 0.90 1.22 .0094 10 0.90 0.73 .0095 2 0.90 0.10 .0096 3 0.90 1.30 .0097 3 0.90 0.96 .0098 3 0.90 0.98 .0099 9 0.90 0.94 .0100 1 0.90 0.15 .0101 1 0.90 0.12 .0102 1 0.90 0.13 .0103 1 0.90 0.17 .0104 1 0.90 0.21 .0105 1 0.90 0.18 .0106 1 0.90 0.23 .0107 1 0.90 0.22 .0108 1 0.90 0.38 .0109 1 0.90 0.13 .0110 1 0.90 0.15 .0111 1 0.90 0.13 .0112 1 0.90 0.16 .0113 1 0.90 0.23 .0114 1 0.90 0.15 .0115 1 0.90 0.23 .0116 1 0.90 0.11 .0117 2 0.90 0.23 .0118 1 0.90 0.14 .0119 1 0.90 0.13 .0120 9 0.92 0.87 .0121 8 0.92 0.67 .0122 3 0.92 0.89 .0123 2 0.92 0.08 .0124 3 0.92 0.13 .0125 10 0.92 0.68 .0126 1 0.92 0.07 .0127 4 0.92 1.22 .0128 4 0.92 1.27 .0129 1 0.92 0.84 .0130 4 0.92 1.43 .0131 2 0.92 2.37 .0132 8 0.92 0.85 .0133 11 0.92 0.32 .0134 1 0.92 0.11 .0135 4 0.92 0.90 .0136 4 0.92 1.45 .0137 11 0.92 0.35 .0138 8 0.92 0.86 .0139 10 0.92 1.10 .0140 1 0.93 0.10 .0141 1 0.93 0.15 .0142 1 0.93 0.11 .0143 1 0.93 0.12 .0144 1 0.93 0.11 .0145 1 0.93 0.18 .0146 1 0.93 0.13 .0147 1 0.93 0.26 .0148 2 0.93 0.14 .0149 4 0.93 1.16 .0150 1 0.93 0.11 .0151 1 0.93 0.14 .0152 1 0.93 0.23 .0153 1 0.93 0.22 .0154 1 0.93 0.11 .0155 1 0.93 0.13 .0156 1 0.93 0.08 .0157 1 0.93 0.13 .0158 1 0.93 0.10 .0159 1 0.93 0.18 .0160 1 0.93 0.12 .0161 1 0.93 0.12 .0162 1 0.93 0.16 .0163 2 0.93 0.14 .0164 1 0.93 0.16 .0165 1 0.93 0.14 .0166 1 0.93 0.15 .0167 1 0.93 0.11 .0168 1 0.93 0.18 .0169 1 0.93 0.13 .0170 1 0.93 0.14 .0171 1 0.93 0.15 .0172 1 0.93 0.11 .0173 1 0.93 0.13 .0174 1 0.93 0.13 .0175 1 0.93 0.13 .0176 1 0.93 0.11 .0177 1 0.93 0.10 .0178 1 0.93 0.12 .0179 1 0.93 0.13 .0180 3 0.94 1.19 .0181 1 0.94 0.28 .0182 1 0.94 0.07 .0183 1 0.94 0.10 .0184 1 0.94 0.13 .0185 1 0.94 0.17 .0186 1 0.94 0.08 .0187 1 0.94 0.12 .0188 1 0.94 0.14 .0189 1 0.94 0.09 .0190 2 0.94 0.13 .0191 1 0.94 0.10 .0192 1 0.94 0.13 .0193 1 0.94 0.19 .0194 2 0.94 0.93 .0195 1 0.94 0.13 .0196 1 0.94 0.10 .0197 5 0.94 0.58 .0198 1 0.94 0.12 .0199 1 0.94 0.26 .0200 3 0.93 1.12 .0201 2 0.93 2.27 .0202 5 0.93 0.85 .0203 1 0.93 0.08 .0204 3 0.93 1.09 .0205 2 0.93 0.93 .0206 1 0.93 0.57 .0207 5 0.93 1.19 .0208 1 0.93 0.78 .0209 3 0.93 0.94 .0210 7 0.93 0.98 .0211 10 0.93 0.66 .0212 3 0.93 1.06 .0213 4 0.93 0.76 .0214 3 0.93 1.30 .0215 3 0.93 0.81 .0216 1 0.93 0.09 .0217 7 0.93 1.46 .0218 1 0.93 0.11 .0219 7 0.93 1.31 .0220 7 0.94 1.17 .0221 1 0.94 0.19 .0222 2 0.94 1.49 .0223 1 0.94 0.10 .0224 9 0.94 0.65 .0225 4 0.94 0.99 .0226 4 0.94 1.21 .0227 4 0.94 1.37 .0228 9 0.94 0.64 .0229 1 0.94 0.20 .0230 1 0.94 0.09 .0231 7 0.94 0.78 .0232 1 0.94 0.20 .0233 2 0.94 0.18 .0234 2 0.94 0.16 .0235 1 0.94 0.10 .0236 1 0.94 0.13 .0237 1 0.94 0.11 .0238 1 0.94 0.15 .0239 4 0.94 0.13 .0240 4 0.95 0.94 .0241 9 0.95 0.69 .0242 1 0.95 0.28 .0243 4 0.95 0.91 .0244 4 0.95 1.08 .0245 1 0.95 0.14 .0246 3 0.95 0.90 .0247 2 0.95 1.09 .0248 3 0.95 0.94 .0249 3 0.95 1.48 .0250 4 0.95 1.16 .0251 0 0.95 0.00 .0252 4 0.95 0.92 .0253 8 0.95 0.87 .0254 5 0.95 1.21 .0255 1 0.95 0.15 .0256 3 0.95 0.90 .0257 8 0.95 0.78 .0258 2 0.95 1.59 .0259 2 0.95 1.25 .0260 9 0.97 0.54 .0261 2 0.97 0.94 .0262 1 0.97 0.10 .0263 3 0.97 1.46 .0264 10 0.97 0.53 .0265 10 0.97 0.38 .0266 2 0.97 0.38 .0267 1 0.97 0.10 .0268 4 0.97 0.85 .0269 7 0.97 0.94 .0270 4 0.97 1.17 .0271 5 0.97 1.23 .0272 9 0.97 1.02 .0273 1 0.97 0.10 .0274 10 0.97 0.29 .0275 7 0.97 0.94 .0276 11 0.97 0.40 .0277 2 0.97 1.31 .0278 5 0.97 0.74 .0279 1 0.97 0.43 .0280 4 0.95 1.71 .0281 4 0.95 0.77 .0282 7 0.95 1.00 .0283 1 0.95 0.11 .0284 4 0.95 0.89 .0285 7 0.95 0.70 .0286 1 0.95 0.62 .0287 2 0.95 0.84 .0288 5 0.95 0.95 .0289 2 0.95 0.10 .0290 11 0.95 0.40 .0291 2 0.95 1.28 .0292 1 0.95 0.65 .0293 5 0.95 0.85 .0294 0 0.95 0.00 .0295 9 0.95 0.58 .0296 2 0.95 1.21 .0297 5 0.95 0.74 .0298 5 0.95 1.16 .0299 2 0.95 0.78 .0300 4 0.97 0.88 .0301 1 0.97 0.75 .0302 1 0.97 0.71 .0303 10 0.97 0.47 .0304 3 0.97 0.83 .0305 4 0.97 0.79 .0306 4 0.97 1.06 .0307 7 0.97 0.97 .0308 2 0.97 0.66 .0309 4 0.97 1.06 .0310 8 0.97 0.72 .0311 1 0.97 0.09 .0312 6 0.97 1.37 .0313 9 0.97 0.54 .0314 1 0.97 0.09 .0315 9 0.97 0.82 .0316 7 0.97 0.71 .0317 1 0.97 0.09 .0318 5 0.97 0.92 .0319 1 0.97 1.02 EXTRACT_IMAGE: sdR-b1-00034587.fit: masked 1160 pixels SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 0 median sigma(arc)= 0.86852200 sigma(sky)= -2870.8784 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 0 sigma^2(add)= 8241942.0 +/- 7699197.4 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 1 median sigma(arc)= 0.86873303 sigma(sky)= -1510.4099 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 1 sigma^2(add)= 2281337.2 +/- 8210750.7 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 2 median sigma(arc)= 0.88322000 sigma(sky)= 1.0102084 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 2 sigma^2(add)= 0.23273987 +/- 0.16890933 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 3 median sigma(arc)= 0.89038722 sigma(sky)= 0.89719997 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 3 sigma^2(add)= -0.013831030 +/- 0.48655702 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 4 median sigma(arc)= 1.0132913 sigma(sky)= 1.2973323 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 4 sigma^2(add)= 2.1916845 +/- 3.1554727 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 5 median sigma(arc)= 1.0702520 sigma(sky)= 40.590683 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Line # 5 sigma^2(add)= 539870.14 +/- 2424995.8 SKYLINE_DISPERSION: sdR-b1-00034587.fit: Flexure sigma^2(add) = 0.054736453 +/- 0.26483926 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034587.fit: Not applying skyline adjusted line widths % Compiled module: GET_PLATECENTER. % Compiled module: HELIOCENTRIC. % Compiled module: BARYVEL. % Compiled module: PREMAT. EXTRACT_OBJECT: sdR-b1-00034587.fit: Heliocentric correction = 23.567185 km/s % Compiled module: FITVACSET. FITVACSET: sdR-b1-00034587.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034587.fit: Converting wavelengths to vacuum % Compiled module: AIRTOVAC. TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034587.fit: Total rejected = 0 % Compiled module: SMOOTH_SUPERFLAT. highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034587.fit: Number of pixels rejected: 0 % Compiled module: SKYSUBTRACT. SKYSUBTRACT: sdR-b1-00034587.fit: Number of sky fibers = 29 % Compiled module: TAI2AIRMASS. SKYSUBTRACT: sdR-b1-00034587.fit: Airmass range = 1.21378 1.25238 SKYSUBTRACT: sdR-b1-00034587.fit: Discarding 0.00540477 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing % Compiled module: GAUSS_KERNEL. Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 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Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034587.fit: Median sky-residual chi2 = 10.3161 SKYSUBTRACT: sdR-b1-00034587.fit: Max sky-residual chi2 = 57.1310 % Compiled module: REDMONSTER. REDMONSTER: sdR-b1-00034587.fit: WARNING: Bad sky residuals at 4359 to 5864 Ang; Peak chi= 7.56 REDMONSTER: sdR-b1-00034587.fit: WARNING: Bad sky residuals at 6061 to 6140 Ang; Peak chi= 4.61 EXTRACT_OBJECT: sdR-b1-00034587.fit: Calling skysubtract again; masked skyfibers 8 17 28 32 SKYSUBTRACT: sdR-b1-00034587.fit: Number of sky fibers = 25 SKYSUBTRACT: sdR-b1-00034587.fit: Airmass range = 1.21378 1.25238 SKYSUBTRACT: sdR-b1-00034587.fit: Discarding 0.00546875 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 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1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 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1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 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1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 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1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 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1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 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Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034587.fit: Median sky-residual chi2 = 5.67331 SKYSUBTRACT: sdR-b1-00034587.fit: Max sky-residual chi2 = 19.9831 REDMONSTER: sdR-b1-00034587.fit: WARNING: Bad sky residuals at 4625 to 4917 Ang; Peak chi= 4.47 REDMONSTER: sdR-b1-00034587.fit: WARNING: Bad sky residuals at 4918 to 5097 Ang; Peak chi= 4.28 REDMONSTER: sdR-b1-00034587.fit: WARNING: Bad sky residuals at 5614 to 5683 Ang; Peak chi= 3.97 % Compiled module: QAPLOT_SKYSUB. QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 44 = -109.597 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 45 = -80.0283 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 71 = 13.4473 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 79 = -13.4712 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 102 = 74.4191 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 124 = 77.5117 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 125 = 22.2152 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 127 = 16.6090 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 135 = -12.2704 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 157 = 86.5357 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 204 = 19.4213 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 217 = 16.0793 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 246 = 18.6926 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 263 = -43.2819 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 268 = -101.306 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 274 = -130.208 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 284 = -84.7969 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 290 = -70.3512 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 312 = -27.1863 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 315 = -14.0261 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 318 = 15.6807 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Median sky-residual chi = 2.46274 QAPLOT_SKYSUB: sdR-b1-00034587.fit: Max sky-residual chi = 6.95139 at 4778.5832 Ang QAPLOT_SKYSUB: sdR-b1-00034587.fit: WARNING: Max sky-residual chi = 6.95139 at 4778.5832 Ang SKYSUBTRACT: sdR-b1-00034587.fit: Number of sky fibers = 25 SKYSUBTRACT: sdR-b1-00034587.fit: Airmass range = 1.21378 1.25238 SKYSUBTRACT: sdR-b1-00034587.fit: Discarding 0.00546875 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 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1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034587.fit: Median sky-residual chi2 = 5.53322 SKYSUBTRACT: sdR-b1-00034587.fit: Max sky-residual chi2 = 15.6599 REDMONSTER: sdR-b1-00034587.fit: WARNING: Bad sky residuals at 5612 to 5681 Ang; Peak chi= 3.76 QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 44 = -72.2091 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 45 = -41.5953 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 71 = 27.3120 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 96 = -17.5055 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 102 = 58.2004 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 124 = 46.2943 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 125 = -10.0751 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 127 = -16.1975 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 135 = -47.9553 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 157 = 44.4773 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 204 = -15.7855 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 217 = -15.6401 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 219 = -24.8158 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 263 = -40.4330 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 268 = -92.0039 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 274 = -113.965 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 284 = -55.9841 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 290 = -34.0466 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 312 = 43.8787 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 315 = 60.1369 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Warning: Median sky-sub flux in sky fiber 318 = 93.4883 electrons QAPLOT_SKYSUB: sdR-b1-00034587.fit: Median sky-residual chi = 2.40025 QAPLOT_SKYSUB: sdR-b1-00034587.fit: Max sky-residual chi = 5.73154 at 4643.5982 Ang QAPLOT_SKYSUB: sdR-b1-00034587.fit: WARNING: Max sky-residual chi = 5.73154 at 4643.5982 Ang % Compiled module: QAPLOT_SKYLINE. % Compiled module: GAUSSFIT. % Compiled module: CURVEFIT. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b1-00034587.fit: Airmass range = 1.21 1.25 QAPLOT_SKYLINE: sdR-b1-00034587.fit: Flux dispersion for skyline 4359.5 = 16.26 % QAPLOT_SKYLINE: sdR-b1-00034587.fit: Airmass range = 1.21 1.25 QAPLOT_SKYLINE: sdR-b1-00034587.fit: Flux dispersion for skyline 5578.9 = 2.17 % % Compiled module: FITSN. % Compiled module: SPADD_GUIDERINFO. SPADD_GUIDERINFO: sdR-b1-00034587.fit: Number of guider frames = 32 SPREDUCE: sdR-b1-00034587.fit: Elapsed time = 176. seconds SPREDUCE: sdR-b1-00034588.fit: Reading object sdR-b1-00034588.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034588.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034588.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034588.fit: Measured read-noise in DN for amp# 2 = 3.52698 SDSSPROC: sdR-b1-00034588.fit: Measured bias value in DN for amp# 2 = 1202.18 SDSSPROC: sdR-b1-00034588.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034588.fit: Amp #2 Number of pix below bias-5*sigma= 1183. DN is 0 SDSSPROC: sdR-b1-00034588.fit: Measured read-noise in DN for amp# 3 = 2.87661 SDSSPROC: sdR-b1-00034588.fit: Measured bias value in DN for amp# 3 = 1026.63 SDSSPROC: sdR-b1-00034588.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034588.fit: Amp #3 Number of pix below bias-5*sigma= 1010. DN is 0 SDSSPROC: sdR-b1-00034588.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034588.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034588.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034588.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034588.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b1-00034588.fit: Science 25-th-percentile = 307.329 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b1-00034588.fit: Whopping fibers: 0 6 19 23 30 33 35 38 42 47 53 55 58 66 71 77 80 84 94 99 120 125 128 130 133 137 210 217 220 224 226 228 241 253 257 264 270 272 276 290 303 307 310 313 315 EXTRACT_OBJECT: sdR-b1-00034588.fit: Median counts in all fibers = 9309.34 EXTRACT_OBJECT: sdR-b1-00034588.fit: Number of bright fibers = 45 EXTRACT_OBJECT: sdR-b1-00034588.fit: Sky fiber median 858.361 EXTRACT_OBJECT: sdR-b1-00034588.fit: 5% and 95% count levels 435.363 27627.8 EXTRACT_OBJECT: sdR-b1-00034588.fit: WARNING: Disable whopping terms sdR-b1-00034588.fit MATCH_TRACE: sdR-b1-00034588.fit: Iteration: 0 Pixels Rejected: 23067 Finished? 0 MATCH_TRACE: sdR-b1-00034588.fit: Iteration: 1 Pixels Rejected: 445 Finished? 0 MATCH_TRACE: sdR-b1-00034588.fit: Iteration: 2 Pixels Rejected: 57 Finished? 0 MATCH_TRACE: sdR-b1-00034588.fit: Iteration: 3 Pixels Rejected: 3 Finished? 0 MATCH_TRACE: sdR-b1-00034588.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-b1-00034588.fit: Warning: Large number of pixels rejected! 23572 EXTRACT_OBJECT: sdR-b1-00034588.fit: Shifting traces by match_trace 0.0597534 EXTRACT_OBJECT: sdR-b1-00034588.fit: Extracting frame sdR-b1-00034588.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034588.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 4 0.93 5.48 .0004 3 0.93 5.74 .0005 2 0.93 5.59 .0006 1 0.93 5.49 .0007 1 0.93 5.32 .0008 2 0.93 5.67 .0009 1 0.93 5.60 .0010 1 0.93 5.83 .0011 1 0.93 5.76 .0012 1 0.93 5.93 .0013 1 0.93 5.94 .0014 2 0.93 6.25 .0015 1 0.93 6.04 .0016 1 0.93 6.22 .0017 1 0.93 6.56 .0018 1 0.93 7.33 .0019 1 0.93 6.61 .0020 2 0.93 7.19 .0021 2 0.94 7.00 .0022 3 0.94 6.98 .0023 2 0.94 7.34 .0024 1 0.94 6.95 .0025 2 0.94 7.65 .0026 1 0.94 7.78 .0027 1 0.94 7.83 .0028 1 0.94 7.63 .0029 2 0.94 7.82 .0030 2 0.94 7.95 .0031 1 0.94 8.02 .0032 1 0.94 8.08 .0033 1 0.94 7.94 .0034 1 0.94 7.97 .0035 1 0.94 8.22 .0036 2 0.94 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9.74 .1516 2 0.98 9.89 .1517 3 0.98 9.55 .1518 3 0.98 10.03 .1519 2 0.98 9.98 .1520 1 0.98 9.51 .1521 1 0.98 9.18 .1522 2 0.98 8.99 .1523 1 0.99 8.84 .1524 3 0.99 8.73 .1525 1 0.99 8.40 .1526 1 0.99 8.98 .1527 2 0.99 8.54 .1528 2 0.99 8.08 .1529 2 0.99 7.76 .1530 1 0.99 7.82 .1531 1 0.99 7.69 .1532 1 0.99 7.86 .1533 1 0.99 7.73 .1534 2 0.99 8.16 .1535 3 0.99 8.31 .1536 1 0.99 8.11 .1537 1 0.99 7.16 .1538 1 0.99 7.55 .1539 1 0.99 7.80 .1540 1 0.99 7.95 .1541 1 0.99 7.79 .1542 3 0.99 8.29 .1543 2 0.99 9.29 .1544 2 0.99 8.98 .1545 1 0.99 9.06 .1546 2 0.99 8.21 .1547 1 0.99 8.82 .1548 2 0.99 9.13 .1549 1 0.99 9.29 .1550 2 0.99 9.20 .1551 1 0.99 9.08 .1552 1 0.99 8.80 .1553 3 0.99 9.15 .1554 1 0.99 9.01 .1555 2 0.99 9.09 .1556 2 0.99 9.57 .1557 3 0.99 9.25 .1558 2 0.99 10.04 .1559 2 0.99 9.19 .1560 1 0.99 8.94 .1561 2 0.99 8.82 .1562 1 0.99 8.72 .1563 1 0.99 8.84 .1564 2 0.99 9.00 .1565 2 0.99 9.42 .1566 1 0.99 9.21 .1567 2 0.99 8.92 .1568 2 0.99 8.85 .1569 4 0.99 9.38 .1570 2 0.99 9.69 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0.98 4.64 .1959 2 0.98 4.70 .1960 2 0.98 4.21 .1961 1 0.98 4.14 .1962 1 0.98 4.07 .1963 1 0.98 3.92 .1964 1 0.98 3.97 .1965 1 0.98 4.00 .1966 1 0.98 3.94 .1967 3 0.98 4.61 .1968 2 0.98 4.22 .1969 2 0.98 4.37 .1970 2 0.98 4.01 .1971 1 0.98 4.22 .1972 2 0.98 3.87 .1973 3 0.98 4.06 .1974 3 0.98 4.62 .1975 2 0.98 4.41 .1976 2 0.98 4.78 .1977 4 0.98 4.51 .1978 2 0.98 4.93 .1979 2 0.98 5.14 .1980 3 0.98 4.67 .1981 3 0.98 4.91 .1982 2 0.98 4.63 .1983 2 0.98 5.14 .1984 3 0.98 5.46 .1985 4 0.98 5.66 .1986 2 0.98 5.19 .1987 2 0.98 5.07 .1988 2 0.98 4.90 .1989 1 0.98 5.52 .1990 2 0.98 5.21 .1991 2 0.98 5.26 .1992 3 0.98 4.84 .1993 1 0.98 4.98 .1994 1 0.98 5.21 .1995 2 0.98 5.23 .1996 3 0.98 5.47 .1997 2 0.98 4.88 .1998 1 0.98 5.15 .1999 1 0.98 4.98 .2000 1 0.98 5.06 .2001 2 0.98 5.35 .2002 2 0.98 5.21 .2003 2 0.98 4.59 .2004 2 0.98 4.62 .2005 2 0.98 4.74 .2006 3 0.98 4.47 .2007 1 0.98 4.40 .2008 1 0.98 4.17 .2009 2 0.98 4.23 .2010 2 0.98 4.21 .2011 1 0.98 4.28 .2012 2 0.98 3.94 .2013 3 0.98 3.88 .2014 2 0.98 3.70 .2015 2 0.98 3.52 .2016 1 0.98 3.61 .2017 3 0.98 3.46 .2018 2 0.98 3.81 .2019 3 0.98 3.46 .2020 2 0.98 3.36 .2021 2 0.98 3.45 .2022 1 0.98 3.18 .2023 1 0.98 3.24 .2024 1 0.98 3.19 .2025 1 0.98 3.58 .2026 2 0.98 3.62 .2027 2 0.98 3.65 .2028 3 0.98 3.86 .2029 1 0.98 3.74 .2030 2 0.98 3.75 .2031 4 0.98 3.53 .2032 3 0.98 4.04 .2033 3 0.98 3.69 .2034 1 0.98 3.85 .2035 1 0.98 3.62 .2036 1 0.98 3.73 .2037 1 0.98 4.05 .2038 1 0.97 4.00 .2039 3 0.97 4.04 .2040 2 0.97 4.07 .2041 3 0.97 4.33 .2042 1 0.97 3.93 .2043 3 0.97 4.01 .2044 1 0.97 4.43 .2045 2 0.97 4.37 .2046 3 0.97 4.27 .2047 3 0.97 4.05 EXTRACT_IMAGE: sdR-b1-00034588.fit: masked 1322 pixels EXTRACT_OBJECT: sdR-b1-00034588.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034588.fit: WARNING: Scattered light median = 126.249 electrons QAPLOT_SCATLIGHT: sdR-b1-00034588.fit: WARNING: Scattered light max = 399.324 electrons EXTRACT_OBJECT: sdR-b1-00034588.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034588.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034588.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034588.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 64 0.03 0.12 Step 10 of 2080 0.61 64 0.03 0.12 Step 14 of 2080 0.61 64 0.03 0.12 Step 18 of 2080 0.61 64 0.04 0.12 Step 22 of 2080 0.61 64 0.03 0.12 Step 26 of 2080 0.61 64 0.04 0.12 Step 30 of 2080 0.61 64 0.03 0.12 Step 34 of 2080 0.61 64 0.03 0.11 Step 38 of 2080 0.61 64 0.03 0.12 Step 42 of 2080 0.61 64 0.03 0.12 Step 46 of 2080 0.61 64 0.03 0.12 Step 50 of 2080 0.61 64 0.03 0.11 Step 54 of 2080 0.61 64 0.03 0.12 Step 58 of 2080 0.61 64 0.03 0.11 Step 62 of 2080 0.61 64 0.03 0.11 Step 66 of 2080 0.61 64 0.03 0.11 Step 70 of 2080 0.61 64 0.02 0.11 Step 74 of 2080 0.61 64 0.02 0.11 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.03 0.11 Step 86 of 2080 0.61 64 0.03 0.11 Step 90 of 2080 0.60 64 0.03 0.11 Step 94 of 2080 0.60 64 0.03 0.11 Step 98 of 2080 0.60 64 0.02 0.11 Step 102 of 2080 0.60 64 0.03 0.11 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.03 0.12 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.12 Step 126 of 2080 0.60 64 0.03 0.12 Step 130 of 2080 0.60 64 0.03 0.11 Step 134 of 2080 0.60 64 0.04 0.13 Step 138 of 2080 0.60 64 0.03 0.13 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.04 0.13 Step 150 of 2080 0.60 64 0.03 0.12 Step 154 of 2080 0.60 64 0.03 0.13 Step 158 of 2080 0.60 64 0.03 0.12 Step 162 of 2080 0.60 64 0.03 0.12 Step 166 of 2080 0.60 64 0.04 0.14 Step 170 of 2080 0.59 64 0.04 0.12 Step 174 of 2080 0.59 64 0.04 0.12 Step 178 of 2080 0.59 64 0.04 0.13 Step 182 of 2080 0.59 64 0.03 0.12 Step 186 of 2080 0.59 64 0.04 0.12 Step 190 of 2080 0.59 64 0.03 0.11 Step 194 of 2080 0.59 64 0.03 0.11 Step 198 of 2080 0.59 64 0.03 0.12 Step 202 of 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64 0.03 0.11 Step 1114 of 2080 0.48 64 0.03 0.11 Step 1118 of 2080 0.48 64 0.04 0.12 Step 1122 of 2080 0.48 64 0.04 0.12 Step 1126 of 2080 0.48 64 0.03 0.12 Step 1130 of 2080 0.48 64 0.03 0.11 Step 1134 of 2080 0.48 64 0.03 0.11 Step 1138 of 2080 0.48 64 0.03 0.12 Step 1142 of 2080 0.48 64 0.03 0.12 Step 1146 of 2080 0.48 64 0.03 0.12 Step 1150 of 2080 0.48 64 0.03 0.11 Step 1154 of 2080 0.48 64 0.04 0.12 Step 1158 of 2080 0.48 64 0.04 0.12 Step 1162 of 2080 0.48 64 0.03 0.12 Step 1166 of 2080 0.47 64 0.03 0.13 Step 1170 of 2080 0.47 64 0.03 0.11 Step 1174 of 2080 0.47 64 0.03 0.12 Step 1178 of 2080 0.47 64 0.03 0.12 Step 1182 of 2080 0.47 64 0.03 0.12 Step 1186 of 2080 0.47 64 0.03 0.11 Step 1190 of 2080 0.47 64 0.03 0.13 Step 1194 of 2080 0.47 64 0.03 0.13 Step 1198 of 2080 0.47 64 0.04 0.13 Step 1202 of 2080 0.47 64 0.03 0.13 Step 1206 of 2080 0.47 64 0.04 0.14 Step 1210 of 2080 0.47 64 0.03 0.12 Step 1214 of 2080 0.47 64 0.03 0.12 Step 1218 of 2080 0.47 64 0.04 0.13 Step 1222 of 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64 0.04 0.12 Step 1558 of 2080 0.43 64 0.05 0.14 Step 1562 of 2080 0.43 64 0.05 0.15 Step 1566 of 2080 0.43 64 0.04 0.13 Step 1570 of 2080 0.43 64 0.04 0.12 Step 1574 of 2080 0.43 64 0.04 0.12 Step 1578 of 2080 0.43 64 0.04 0.12 Step 1582 of 2080 0.43 64 0.03 0.11 Step 1586 of 2080 0.43 64 0.04 0.12 Step 1590 of 2080 0.43 64 0.04 0.12 Step 1594 of 2080 0.43 64 0.04 0.12 Step 1598 of 2080 0.43 64 0.04 0.13 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.04 0.13 Step 1610 of 2080 0.43 64 0.04 0.12 Step 1614 of 2080 0.43 64 0.04 0.14 Step 1618 of 2080 0.42 64 0.04 0.13 Step 1622 of 2080 0.42 64 0.03 0.12 Step 1626 of 2080 0.42 64 0.04 0.12 Step 1630 of 2080 0.42 64 0.04 0.12 Step 1634 of 2080 0.42 64 0.04 0.12 Step 1638 of 2080 0.42 64 0.04 0.13 Step 1642 of 2080 0.42 64 0.03 0.13 Step 1646 of 2080 0.42 64 0.03 0.14 Step 1650 of 2080 0.42 64 0.04 0.12 Step 1654 of 2080 0.42 64 0.03 0.13 Step 1658 of 2080 0.42 64 0.03 0.14 Step 1662 of 2080 0.42 64 0.03 0.13 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.03 0.13 Step 1674 of 2080 0.42 64 0.03 0.13 Step 1678 of 2080 0.42 64 0.04 0.13 Step 1682 of 2080 0.42 64 0.03 0.12 Step 1686 of 2080 0.42 64 0.03 0.12 Step 1690 of 2080 0.42 64 0.04 0.14 Step 1694 of 2080 0.42 64 0.05 0.14 Step 1698 of 2080 0.42 64 0.03 0.12 Step 1702 of 2080 0.42 64 0.03 0.12 Step 1706 of 2080 0.42 64 0.03 0.11 Step 1710 of 2080 0.41 64 0.03 0.11 Step 1714 of 2080 0.41 64 0.03 0.11 Step 1718 of 2080 0.41 64 0.02 0.11 Step 1722 of 2080 0.41 64 0.02 0.10 Step 1726 of 2080 0.41 64 0.02 0.11 Step 1730 of 2080 0.41 64 0.02 0.11 Step 1734 of 2080 0.41 64 0.03 0.12 Step 1738 of 2080 0.41 64 0.03 0.11 Step 1742 of 2080 0.41 64 0.03 0.11 Step 1746 of 2080 0.41 64 0.03 0.11 Step 1750 of 2080 0.41 64 0.03 0.11 Step 1754 of 2080 0.41 64 0.03 0.11 Step 1758 of 2080 0.41 64 0.03 0.11 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.11 Step 1770 of 2080 0.41 64 0.02 0.11 Step 1774 of 2080 0.41 64 0.02 0.11 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.13 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.12 Step 1798 of 2080 0.41 64 0.04 0.13 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.40 64 0.03 0.12 Step 1810 of 2080 0.40 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.03 0.13 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.05 0.13 Step 1826 of 2080 0.40 64 0.04 0.13 Step 1830 of 2080 0.40 64 0.04 0.13 Step 1834 of 2080 0.40 64 0.04 0.13 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.12 Step 1846 of 2080 0.40 64 0.03 0.11 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.03 0.12 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.03 0.11 Step 1866 of 2080 0.40 64 0.04 0.13 Step 1870 of 2080 0.40 64 0.04 0.12 Step 1874 of 2080 0.40 64 0.04 0.13 Step 1878 of 2080 0.40 64 0.04 0.13 Step 1882 of 2080 0.40 64 0.03 0.13 Step 1886 of 2080 0.40 64 0.03 0.12 Step 1890 of 2080 0.40 64 0.03 0.11 Step 1894 of 2080 0.40 64 0.03 0.12 Step 1898 of 2080 0.40 64 0.03 0.11 Step 1902 of 2080 0.40 64 0.03 0.11 Step 1906 of 2080 0.39 64 0.03 0.11 Step 1910 of 2080 0.39 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.04 0.12 Step 1918 of 2080 0.39 64 0.03 0.11 Step 1922 of 2080 0.39 64 0.03 0.11 Step 1926 of 2080 0.39 64 0.04 0.12 Step 1930 of 2080 0.39 64 0.03 0.13 Step 1934 of 2080 0.39 64 0.04 0.12 Step 1938 of 2080 0.39 64 0.02 0.12 Step 1942 of 2080 0.39 64 0.02 0.11 Step 1946 of 2080 0.39 64 0.02 0.11 Step 1950 of 2080 0.39 64 0.02 0.10 Step 1954 of 2080 0.39 64 0.02 0.10 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.02 0.11 Step 1966 of 2080 0.39 64 0.02 0.12 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.04 0.13 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.11 Step 1986 of 2080 0.39 64 0.03 0.11 Step 1990 of 2080 0.39 64 0.03 0.11 Step 1994 of 2080 0.39 64 0.03 0.11 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.38 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.04 0.13 Step 2018 of 2080 0.38 64 0.03 0.14 Step 2022 of 2080 0.38 64 0.03 0.12 Step 2026 of 2080 0.38 64 0.03 0.11 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.04 0.12 Step 2038 of 2080 0.38 64 0.03 0.14 Step 2042 of 2080 0.38 64 0.04 0.13 Step 2046 of 2080 0.38 32 0.02 0.06 Step 2050 of 2080 0.38 32 0.01 0.06 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.01 0.06 Step 2062 of 2080 0.38 32 0.01 0.05 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.02 0.06 Step 2074 of 2080 0.38 32 0.02 0.06 Step 2078 of 2080 0.38 32 0.02 0.06 EXTRACT_OBJECT: sdR-b1-00034588.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 4 0.93 3.27 .0004 3 0.93 2.79 .0005 2 0.93 2.57 .0006 2 0.93 2.79 .0007 1 0.93 2.77 .0008 2 0.93 3.02 .0009 1 0.93 2.91 .0010 1 0.93 2.98 .0011 1 0.93 2.89 .0012 1 0.93 2.99 .0013 1 0.93 3.17 .0014 2 0.93 3.27 .0015 1 0.93 3.24 .0016 1 0.93 3.38 .0017 1 0.93 3.61 .0018 2 0.93 3.62 .0019 1 0.93 3.73 .0020 2 0.93 4.00 .0021 3 0.94 4.19 .0022 3 0.94 4.09 .0023 2 0.94 4.32 .0024 1 0.94 4.66 .0025 2 0.94 4.75 .0026 1 0.94 5.27 .0027 1 0.94 5.58 .0028 1 0.94 5.28 .0029 2 0.94 5.91 .0030 2 0.94 6.01 .0031 1 0.94 6.73 .0032 1 0.94 6.44 .0033 1 0.94 6.69 .0034 1 0.94 6.75 .0035 1 0.94 7.30 .0036 2 0.94 7.47 .0037 1 0.94 7.22 .0038 2 0.94 7.16 .0039 1 0.94 7.13 .0040 1 0.94 6.93 .0041 2 0.94 7.06 .0042 1 0.94 6.67 .0043 2 0.94 6.51 .0044 1 0.94 6.32 .0045 2 0.94 6.06 .0046 2 0.94 6.43 .0047 3 0.94 5.46 .0048 2 0.94 5.79 .0049 2 0.94 5.43 .0050 1 0.94 5.43 .0051 2 0.94 5.52 .0052 1 0.94 5.86 .0053 1 0.94 5.64 .0054 3 0.94 5.57 .0055 2 0.94 5.65 .0056 4 0.94 5.56 .0057 3 0.94 5.92 .0058 2 0.94 5.63 .0059 1 0.94 5.62 .0060 1 0.94 5.27 .0061 1 0.94 5.66 .0062 1 0.94 5.54 .0063 3 0.94 5.50 .0064 2 0.94 5.60 .0065 3 0.94 5.49 .0066 1 0.94 5.34 .0067 1 0.95 5.93 .0068 1 0.95 5.37 .0069 1 0.95 5.49 .0070 2 0.95 5.55 .0071 1 0.95 5.61 .0072 2 0.95 5.95 .0073 2 0.95 5.75 .0074 2 0.95 5.60 .0075 4 0.95 5.61 .0076 2 0.95 5.69 .0077 3 0.95 5.53 .0078 2 0.95 6.07 .0079 2 0.95 5.91 .0080 3 0.95 5.47 .0081 1 0.95 5.63 .0082 1 0.95 5.57 .0083 2 0.95 5.34 .0084 1 0.95 5.35 .0085 2 0.95 5.61 .0086 2 0.95 5.44 .0087 1 0.95 5.48 .0088 1 0.95 5.49 .0089 2 0.95 5.49 .0090 1 0.95 5.48 .0091 2 0.95 5.86 .0092 2 0.95 5.49 .0093 2 0.95 5.88 .0094 6 0.95 5.50 .0095 2 0.95 6.15 .0096 2 0.95 5.55 .0097 1 0.95 5.35 .0098 1 0.95 5.62 .0099 1 0.95 5.49 .0100 1 0.95 5.70 .0101 2 0.95 5.61 .0102 1 0.95 5.55 .0103 2 0.95 6.01 .0104 2 0.95 5.89 .0105 1 0.95 5.64 .0106 2 0.95 5.63 .0107 2 0.95 5.66 .0108 2 0.95 5.75 .0109 1 0.95 5.80 .0110 2 0.95 5.41 .0111 1 0.95 5.74 .0112 3 0.95 5.80 .0113 1 0.95 5.64 .0114 2 0.95 5.50 .0115 3 0.95 5.42 .0116 1 0.95 5.56 .0117 2 0.95 5.76 .0118 2 0.95 5.61 .0119 2 0.95 5.45 .0120 2 0.95 5.75 .0121 1 0.95 5.88 .0122 1 0.95 5.38 .0123 6 0.95 5.57 .0124 1 0.95 5.65 .0125 1 0.95 5.49 .0126 3 0.96 5.19 .0127 1 0.96 5.70 .0128 2 0.96 5.24 .0129 2 0.96 5.18 .0130 1 0.96 5.46 .0131 2 0.96 5.89 .0132 3 0.96 5.63 .0133 2 0.96 5.31 .0134 2 0.96 5.73 .0135 3 0.96 5.06 .0136 1 0.96 5.22 .0137 1 0.96 5.05 .0138 1 0.96 5.18 .0139 3 0.96 4.90 .0140 2 0.96 5.31 .0141 1 0.96 5.30 .0142 1 0.96 4.82 .0143 1 0.96 4.88 .0144 2 0.96 4.76 .0145 2 0.96 4.88 .0146 2 0.96 5.04 .0147 2 0.96 5.26 .0148 1 0.96 5.05 .0149 1 0.96 5.11 .0150 1 0.96 4.86 .0151 1 0.96 5.09 .0152 2 0.96 4.77 .0153 1 0.96 5.09 .0154 1 0.96 4.91 .0155 3 0.96 5.04 .0156 3 0.96 5.37 .0157 2 0.96 5.53 .0158 3 0.96 5.61 .0159 2 0.96 5.88 .0160 3 0.96 5.11 .0161 2 0.96 5.22 .0162 2 0.96 5.22 .0163 2 0.96 5.51 .0164 4 0.96 4.98 .0165 1 0.96 4.95 .0166 1 0.96 5.16 .0167 3 0.96 5.37 .0168 1 0.96 5.99 .0169 3 0.96 5.06 .0170 3 0.96 4.94 .0171 2 0.96 5.18 .0172 4 0.96 5.35 .0173 2 0.96 5.31 .0174 2 0.96 5.20 .0175 1 0.96 5.84 .0176 4 0.96 5.50 .0177 2 0.96 5.61 .0178 1 0.96 5.49 .0179 1 0.96 5.36 .0180 2 0.96 5.37 .0181 1 0.96 6.45 .0182 1 0.96 5.89 .0183 1 0.96 5.59 .0184 4 0.96 5.45 .0185 2 0.96 5.75 .0186 4 0.96 5.59 .0187 3 0.96 5.56 .0188 1 0.96 6.05 .0189 2 0.96 5.53 .0190 2 0.96 5.54 .0191 1 0.96 5.59 .0192 3 0.96 5.32 .0193 3 0.96 5.38 .0194 1 0.96 5.57 .0195 2 0.96 5.69 .0196 2 0.96 5.86 .0197 1 0.96 5.35 .0198 4 0.96 6.04 .0199 1 0.96 5.97 .0200 1 0.96 5.80 .0201 1 0.96 5.62 .0202 2 0.96 6.06 .0203 2 0.96 6.33 .0204 2 0.96 6.17 .0205 2 0.96 5.68 .0206 2 0.96 5.81 .0207 2 0.96 5.82 .0208 1 0.96 5.89 .0209 1 0.96 6.26 .0210 3 0.96 5.92 .0211 1 0.96 5.97 .0212 2 0.96 5.68 .0213 1 0.96 5.79 .0214 1 0.97 5.48 .0215 1 0.97 5.46 .0216 2 0.97 5.49 .0217 2 0.97 5.71 .0218 2 0.97 5.63 .0219 3 0.97 6.01 .0220 2 0.97 6.10 .0221 1 0.97 6.02 .0222 2 0.97 6.51 .0223 1 0.97 6.33 .0224 1 0.97 6.52 .0225 1 0.97 6.58 .0226 1 0.97 6.78 .0227 2 0.97 6.52 .0228 1 0.97 6.90 .0229 2 0.97 7.10 .0230 1 0.97 6.80 .0231 1 0.97 6.90 .0232 3 0.97 7.30 .0233 1 0.97 7.28 .0234 3 0.97 7.72 .0235 2 0.97 7.35 .0236 2 0.97 7.30 .0237 1 0.97 7.31 .0238 2 0.97 7.74 .0239 1 0.97 7.44 .0240 2 0.97 7.22 .0241 1 0.97 7.31 .0242 1 0.97 7.25 .0243 2 0.97 7.62 .0244 2 0.97 7.65 .0245 2 0.97 7.91 .0246 1 0.97 7.82 .0247 2 0.97 8.42 .0248 2 0.97 7.73 .0249 3 0.97 7.68 .0250 2 0.97 7.53 .0251 2 0.97 7.75 .0252 2 0.97 7.87 .0253 2 0.97 8.71 .0254 3 0.97 8.22 .0255 2 0.97 8.16 .0256 1 0.97 8.01 .0257 2 0.97 8.12 .0258 1 0.97 8.12 .0259 1 0.97 7.79 .0260 2 0.97 8.19 .0261 2 0.97 8.05 .0262 2 0.97 8.04 .0263 2 0.97 8.12 .0264 2 0.97 8.08 .0265 1 0.97 7.96 .0266 1 0.97 7.92 .0267 1 0.97 8.17 .0268 3 0.97 8.00 .0269 2 0.97 8.89 .0270 1 0.97 8.11 .0271 4 0.97 8.09 .0272 1 0.97 7.87 .0273 1 0.97 8.24 .0274 1 0.97 8.12 .0275 2 0.97 8.47 .0276 2 0.97 7.86 .0277 2 0.97 8.10 .0278 4 0.97 8.66 .0279 4 0.97 8.10 .0280 3 0.97 8.22 .0281 1 0.97 8.17 .0282 1 0.97 8.65 .0283 1 0.97 8.72 .0284 1 0.97 8.49 .0285 1 0.97 8.20 .0286 3 0.97 8.29 .0287 2 0.97 8.33 .0288 1 0.97 8.24 .0289 1 0.97 8.64 .0290 1 0.97 8.13 .0291 1 0.97 8.37 .0292 1 0.97 8.39 .0293 4 0.97 8.67 .0294 1 0.97 8.77 .0295 1 0.97 8.24 .0296 2 0.97 8.03 .0297 1 0.97 8.75 .0298 1 0.97 8.95 .0299 2 0.97 8.64 .0300 1 0.97 8.28 .0301 2 0.97 8.56 .0302 4 0.97 9.04 .0303 2 0.97 8.60 .0304 1 0.97 8.33 .0305 1 0.97 8.71 .0306 1 0.97 8.49 .0307 1 0.97 9.16 .0308 2 0.97 8.64 .0309 2 0.97 8.84 .0310 1 0.97 9.03 .0311 1 0.97 8.51 .0312 1 0.97 8.87 .0313 3 0.97 8.57 .0314 3 0.97 8.76 .0315 1 0.97 8.81 .0316 3 0.97 9.57 .0317 1 0.97 9.04 .0318 2 0.97 9.38 .0319 2 0.97 8.53 .0320 2 0.97 8.63 .0321 3 0.97 8.55 .0322 1 0.97 8.90 .0323 1 0.97 9.06 .0324 1 0.97 9.37 .0325 1 0.97 8.79 .0326 2 0.97 9.15 .0327 2 0.97 9.16 .0328 2 0.97 9.97 .0329 2 0.97 8.90 .0330 1 0.97 8.58 .0331 1 0.97 8.74 .0332 2 0.97 8.76 .0333 3 0.97 8.65 .0334 2 0.97 8.61 .0335 2 0.97 8.82 .0336 3 0.97 9.60 .0337 3 0.97 8.81 .0338 2 0.97 8.88 .0339 1 0.97 8.62 .0340 2 0.97 8.79 .0341 2 0.97 8.73 .0342 1 0.97 8.85 .0343 1 0.97 9.30 .0344 2 0.97 9.11 .0345 1 0.97 9.41 .0346 2 0.97 8.99 .0347 2 0.97 8.95 .0348 2 0.97 9.44 .0349 2 0.97 9.11 .0350 3 0.97 8.51 .0351 1 0.97 8.91 .0352 1 0.97 8.40 .0353 1 0.98 8.35 .0354 1 0.98 8.42 .0355 1 0.98 8.22 .0356 2 0.98 8.51 .0357 1 0.98 8.34 .0358 2 0.98 8.20 .0359 1 0.98 8.92 .0360 1 0.98 8.33 .0361 4 0.98 8.68 .0362 3 0.98 8.42 .0363 2 0.98 8.22 .0364 3 0.98 8.38 .0365 2 0.98 8.23 .0366 1 0.98 8.41 .0367 1 0.98 7.95 .0368 1 0.98 8.09 .0369 2 0.98 9.00 .0370 2 0.98 8.33 .0371 1 0.98 8.25 .0372 2 0.98 8.74 .0373 2 0.98 8.23 .0374 1 0.98 8.29 .0375 2 0.98 8.30 .0376 1 0.98 8.32 .0377 1 0.98 8.25 .0378 2 0.98 7.96 .0379 1 0.98 8.08 .0380 1 0.98 8.52 .0381 1 0.98 8.24 .0382 1 0.98 8.52 .0383 1 0.98 8.76 .0384 2 0.98 8.69 .0385 2 0.98 8.81 .0386 3 0.98 8.36 .0387 2 0.98 8.22 .0388 1 0.98 8.40 .0389 1 0.98 8.38 .0390 1 0.98 8.34 .0391 1 0.98 8.26 .0392 2 0.98 8.55 .0393 3 0.98 8.33 .0394 2 0.98 8.84 .0395 2 0.98 8.58 .0396 1 0.98 8.49 .0397 2 0.98 8.47 .0398 2 0.98 8.49 .0399 1 0.98 9.28 .0400 1 0.98 8.07 .0401 1 0.98 8.50 .0402 1 0.98 8.65 .0403 2 0.98 7.90 .0404 1 0.98 8.03 .0405 1 0.98 8.18 .0406 2 0.98 8.30 .0407 1 0.98 8.01 .0408 1 0.98 8.10 .0409 1 0.98 8.50 .0410 1 0.98 7.91 .0411 1 0.98 8.09 .0412 1 0.98 8.42 .0413 1 0.98 8.35 .0414 1 0.98 8.21 .0415 1 0.98 7.97 .0416 1 0.98 8.43 .0417 3 0.98 8.21 .0418 2 0.98 8.02 .0419 2 0.98 7.79 .0420 1 0.98 8.79 .0421 1 0.98 9.00 .0422 2 0.98 8.27 .0423 1 0.98 8.00 .0424 1 0.98 7.95 .0425 2 0.98 8.43 .0426 2 0.98 8.73 .0427 2 0.98 8.23 .0428 1 0.98 7.95 .0429 1 0.98 8.43 .0430 1 0.98 8.00 .0431 1 0.98 7.78 .0432 2 0.98 8.17 .0433 1 0.98 7.82 .0434 1 0.98 7.80 .0435 1 0.98 7.71 .0436 1 0.98 7.87 .0437 2 0.98 8.55 .0438 1 0.98 9.11 .0439 3 0.98 7.86 .0440 1 0.98 8.08 .0441 1 0.98 7.90 .0442 2 0.98 8.02 .0443 2 0.98 8.16 .0444 3 0.98 8.59 .0445 2 0.98 8.38 .0446 2 0.98 9.53 .0447 3 0.98 8.27 .0448 2 0.98 8.50 .0449 1 0.98 8.36 .0450 1 0.98 8.22 .0451 1 0.98 8.45 .0452 2 0.98 8.02 .0453 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2.02 .1952 2 0.98 2.11 .1953 2 0.98 2.06 .1954 2 0.98 2.11 .1955 3 0.98 1.96 .1956 1 0.98 2.05 .1957 2 0.98 2.05 .1958 3 0.98 1.95 .1959 3 0.98 1.98 .1960 3 0.98 1.72 .1961 1 0.98 1.85 .1962 1 0.98 1.69 .1963 1 0.98 1.64 .1964 1 0.98 1.82 .1965 1 0.98 1.70 .1966 1 0.98 1.69 .1967 3 0.98 1.71 .1968 2 0.98 1.99 .1969 2 0.98 1.87 .1970 2 0.98 1.81 .1971 1 0.98 1.77 .1972 2 0.98 1.79 .1973 4 0.98 2.02 .1974 4 0.98 1.77 .1975 2 0.98 1.95 .1976 4 0.98 2.01 .1977 3 0.98 1.94 .1978 3 0.98 2.06 .1979 3 0.98 2.11 .1980 3 0.98 1.91 .1981 2 0.98 2.05 .1982 2 0.98 1.98 .1983 3 0.98 2.01 .1984 4 0.98 2.39 .1985 4 0.98 2.19 .1986 2 0.98 2.10 .1987 3 0.98 2.09 .1988 2 0.98 1.94 .1989 1 0.98 2.45 .1990 2 0.98 2.25 .1991 3 0.98 2.15 .1992 3 0.98 2.04 .1993 1 0.98 2.07 .1994 1 0.98 2.14 .1995 3 0.98 2.13 .1996 4 0.98 2.28 .1997 2 0.98 2.13 .1998 1 0.98 2.26 .1999 1 0.98 2.28 .2000 1 0.98 2.25 .2001 2 0.98 2.36 .2002 3 0.98 2.21 .2003 2 0.98 2.09 .2004 2 0.98 1.98 .2005 2 0.98 2.19 .2006 3 0.98 2.00 .2007 1 0.98 1.99 .2008 1 0.98 1.86 .2009 3 0.98 1.86 .2010 2 0.98 1.91 .2011 2 0.98 2.14 .2012 3 0.98 1.76 .2013 4 0.98 1.71 .2014 3 0.98 1.72 .2015 2 0.98 1.83 .2016 1 0.98 1.73 .2017 3 0.98 1.72 .2018 3 0.98 1.94 .2019 3 0.98 1.74 .2020 2 0.98 1.66 .2021 2 0.98 1.74 .2022 1 0.98 1.54 .2023 1 0.98 1.51 .2024 1 0.98 1.50 .2025 2 0.98 1.53 .2026 2 0.98 1.62 .2027 2 0.98 1.73 .2028 3 0.98 1.66 .2029 2 0.98 1.68 .2030 2 0.98 1.70 .2031 4 0.98 1.68 .2032 4 0.98 1.81 .2033 3 0.98 1.71 .2034 1 0.98 1.72 .2035 1 0.98 1.60 .2036 1 0.98 1.64 .2037 1 0.98 1.72 .2038 1 0.97 1.73 .2039 3 0.97 1.82 .2040 2 0.97 1.88 .2041 4 0.97 1.72 .2042 1 0.97 1.88 .2043 3 0.97 1.76 .2044 2 0.97 1.88 .2045 2 0.97 1.91 .2046 3 0.97 1.95 .2047 3 0.97 2.02 EXTRACT_IMAGE: sdR-b1-00034588.fit: masked 2252 pixels EXTRACT_OBJECT: sdR-b1-00034588.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034588.fit: WARNING: Scattered light median = 30.4862 electrons QAPLOT_SCATLIGHT: sdR-b1-00034588.fit: WARNING: Scattered light max = 181.308 electrons EXTRACT_OBJECT: sdR-b1-00034588.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 4 0.93 14.44 .0004 2 0.93 11.16 .0005 2 0.93 9.40 .0006 1 0.93 8.31 .0007 1 0.93 7.60 .0008 2 0.93 7.02 .0009 1 0.93 6.57 .0010 1 0.93 6.17 .0011 1 0.93 5.67 .0012 1 0.93 5.40 .0013 1 0.93 5.22 .0014 2 0.93 4.82 .0015 1 0.93 4.44 .0016 1 0.93 4.48 .0017 1 0.93 4.37 .0018 2 0.93 4.07 .0019 1 0.93 4.05 .0020 2 0.93 4.21 .0021 3 0.94 4.25 .0022 3 0.94 4.15 .0023 2 0.94 4.43 .0024 1 0.94 4.77 .0025 3 0.94 4.99 .0026 1 0.94 5.84 .0027 2 0.94 6.29 .0028 1 0.94 6.62 .0029 2 0.94 7.49 .0030 3 0.94 8.10 .0031 2 0.94 9.05 .0032 1 0.94 9.76 .0033 1 0.94 10.28 .0034 1 0.94 11.34 .0035 1 0.94 12.06 .0036 2 0.94 12.76 .0037 1 0.94 12.63 .0038 2 0.94 13.11 .0039 1 0.94 12.90 .0040 1 0.94 12.03 .0041 2 0.94 11.69 .0042 1 0.94 10.93 .0043 2 0.94 9.92 .0044 1 0.94 8.90 .0045 2 0.94 7.86 .0046 2 0.94 7.82 .0047 3 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.0103 2 0.95 6.23 .0104 3 0.95 6.16 .0105 2 0.95 5.92 .0106 3 0.95 5.84 .0107 2 0.95 6.07 .0108 2 0.95 5.93 .0109 3 0.95 5.67 .0110 2 0.95 5.67 .0111 2 0.95 5.85 .0112 3 0.95 5.76 .0113 2 0.95 5.87 .0114 2 0.95 5.80 .0115 3 0.95 5.60 .0116 2 0.95 5.66 .0117 2 0.95 5.85 .0118 3 0.95 5.73 .0119 2 0.95 5.65 .0120 3 0.95 5.54 .0121 2 0.95 5.62 .0122 1 0.95 5.55 .0123 6 0.95 5.69 .0124 2 0.95 5.76 .0125 1 0.95 5.81 .0126 3 0.96 5.35 .0127 2 0.96 5.73 .0128 2 0.96 5.56 .0129 2 0.96 5.41 .0130 2 0.96 5.59 .0131 2 0.96 5.80 .0132 3 0.96 5.54 .0133 2 0.96 5.48 .0134 3 0.96 5.32 .0135 3 0.96 5.25 .0136 1 0.96 5.54 .0137 1 0.96 5.25 .0138 1 0.96 5.33 .0139 3 0.96 5.03 .0140 3 0.96 5.23 .0141 1 0.96 5.55 .0142 1 0.96 5.03 .0143 1 0.96 5.08 .0144 2 0.96 4.95 .0145 2 0.96 5.17 .0146 2 0.96 5.24 .0147 2 0.96 5.35 .0148 1 0.96 5.25 .0149 1 0.96 5.32 .0150 1 0.96 5.13 .0151 1 0.96 5.43 .0152 2 0.96 5.04 .0153 1 0.96 5.28 .0154 1 0.96 5.12 .0155 3 0.96 5.25 .0156 4 0.96 5.41 .0157 2 0.96 5.66 .0158 2 0.96 5.80 .0159 3 0.96 5.70 .0160 2 0.96 5.34 .0161 3 0.96 5.31 .0162 2 0.96 5.40 .0163 2 0.96 5.43 .0164 4 0.96 5.15 .0165 1 0.96 5.15 .0166 2 0.96 5.27 .0167 4 0.96 5.29 .0168 2 0.96 5.77 .0169 2 0.96 5.17 .0170 3 0.96 5.14 .0171 2 0.96 5.26 .0172 4 0.96 5.39 .0173 2 0.96 5.46 .0174 2 0.96 5.42 .0175 2 0.96 5.68 .0176 4 0.96 5.84 .0177 3 0.96 5.52 .0178 2 0.96 5.64 .0179 2 0.96 5.52 .0180 3 0.96 5.55 .0181 2 0.96 5.99 .0182 2 0.96 5.70 .0183 2 0.96 5.62 .0184 3 0.96 5.83 .0185 3 0.96 5.81 .0186 4 0.96 5.90 .0187 4 0.96 5.75 .0188 1 0.96 6.30 .0189 2 0.96 5.72 .0190 2 0.96 6.01 .0191 1 0.96 6.14 .0192 3 0.96 5.80 .0193 3 0.96 5.83 .0194 1 0.96 6.03 .0195 2 0.96 6.19 .0196 3 0.96 6.14 .0197 1 0.96 5.78 .0198 4 0.96 6.14 .0199 2 0.96 6.21 .0200 1 0.96 6.19 .0201 1 0.96 6.01 .0202 2 0.96 6.28 .0203 2 0.96 6.51 .0204 2 0.96 6.31 .0205 2 0.96 6.07 .0206 2 0.96 6.27 .0207 2 0.96 6.33 .0208 1 0.96 6.46 .0209 3 0.96 6.27 .0210 3 0.96 6.46 .0211 2 0.96 6.38 .0212 2 0.96 6.31 .0213 1 0.96 6.34 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.1879 1 0.98 2.13 .1880 4 0.98 1.99 .1881 3 0.98 2.15 .1882 1 0.98 2.05 .1883 1 0.98 1.96 .1884 3 0.98 1.98 .1885 3 0.98 1.98 .1886 3 0.98 2.12 .1887 3 0.98 2.06 .1888 3 0.98 1.99 .1889 2 0.98 1.87 .1890 2 0.98 1.94 .1891 1 0.98 1.97 .1892 2 0.98 1.91 .1893 1 0.98 2.08 .1894 2 0.98 1.97 .1895 4 0.98 2.07 .1896 3 0.98 1.99 .1897 2 0.98 2.00 .1898 4 0.98 2.11 .1899 3 0.98 2.02 .1900 4 0.98 2.16 .1901 3 0.98 2.22 .1902 4 0.98 2.21 .1903 3 0.98 2.09 .1904 4 0.98 2.10 .1905 3 0.98 2.17 .1906 1 0.98 2.15 .1907 1 0.98 2.17 .1908 3 0.98 2.12 .1909 3 0.98 2.26 .1910 3 0.98 2.18 .1911 3 0.98 2.12 .1912 1 0.98 2.05 .1913 1 0.98 2.02 .1914 2 0.98 2.08 .1915 2 0.98 2.10 .1916 1 0.98 2.15 .1917 2 0.98 2.01 .1918 2 0.98 1.99 .1919 2 0.98 2.04 .1920 2 0.98 2.00 .1921 2 0.98 2.14 .1922 4 0.98 2.15 .1923 5 0.98 2.00 .1924 3 0.98 2.07 .1925 2 0.98 1.97 .1926 2 0.98 1.93 .1927 3 0.98 2.00 .1928 1 0.98 2.00 .1929 3 0.98 1.95 .1930 4 0.98 2.05 .1931 4 0.98 2.16 .1932 4 0.98 2.01 .1933 3 0.98 1.99 .1934 2 0.98 1.99 .1935 2 0.98 2.06 .1936 5 0.98 2.10 .1937 4 0.98 2.15 .1938 3 0.98 2.09 .1939 3 0.98 2.35 .1940 4 0.98 2.29 .1941 4 0.98 2.14 .1942 4 0.98 2.17 .1943 4 0.98 2.04 .1944 4 0.98 2.13 .1945 3 0.98 2.12 .1946 2 0.98 2.08 .1947 2 0.98 2.26 .1948 2 0.98 2.14 .1949 1 0.98 2.16 .1950 3 0.98 2.04 .1951 5 0.98 2.17 .1952 3 0.98 2.17 .1953 4 0.98 2.11 .1954 3 0.98 2.22 .1955 3 0.98 2.05 .1956 3 0.98 2.12 .1957 3 0.98 2.08 .1958 5 0.98 2.08 .1959 3 0.98 2.02 .1960 2 0.98 1.92 .1961 1 0.98 2.08 .1962 1 0.98 1.96 .1963 1 0.98 1.97 .1964 3 0.98 1.98 .1965 2 0.98 1.87 .1966 2 0.98 1.92 .1967 4 0.98 2.00 .1968 3 0.98 2.09 .1969 2 0.98 2.17 .1970 2 0.98 2.06 .1971 2 0.98 2.04 .1972 2 0.98 2.09 .1973 4 0.98 2.15 .1974 3 0.98 2.11 .1975 3 0.98 2.10 .1976 2 0.98 2.21 .1977 4 0.98 2.10 .1978 3 0.98 2.17 .1979 3 0.98 2.35 .1980 3 0.98 2.17 .1981 3 0.98 2.27 .1982 3 0.98 2.15 .1983 4 0.98 2.19 .1984 5 0.98 2.43 .1985 4 0.98 2.27 .1986 2 0.98 2.22 .1987 3 0.98 2.25 .1988 3 0.98 2.03 .1989 3 0.98 2.26 .1990 3 0.98 2.24 .1991 3 0.98 2.15 .1992 3 0.98 2.13 .1993 2 0.98 2.18 .1994 1 0.98 2.20 .1995 3 0.98 2.22 .1996 5 0.98 2.26 .1997 3 0.98 2.13 .1998 1 0.98 2.29 .1999 2 0.98 2.20 .2000 1 0.98 2.28 .2001 2 0.98 2.45 .2002 3 0.98 2.26 .2003 2 0.98 2.18 .2004 2 0.98 2.04 .2005 3 0.98 2.14 .2006 3 0.98 2.01 .2007 1 0.98 2.03 .2008 1 0.98 1.90 .2009 2 0.98 1.94 .2010 3 0.98 1.82 .2011 4 0.98 1.85 .2012 3 0.98 1.81 .2013 3 0.98 1.81 .2014 3 0.98 1.80 .2015 2 0.98 1.83 .2016 1 0.98 1.78 .2017 3 0.98 1.81 .2018 3 0.98 1.95 .2019 4 0.98 1.81 .2020 2 0.98 1.74 .2021 2 0.98 1.71 .2022 2 0.98 1.53 .2023 1 0.98 1.59 .2024 1 0.98 1.56 .2025 2 0.98 1.59 .2026 3 0.98 1.55 .2027 2 0.98 1.72 .2028 3 0.98 1.70 .2029 2 0.98 1.70 .2030 2 0.98 1.68 .2031 5 0.98 1.61 .2032 4 0.98 1.81 .2033 3 0.98 1.75 .2034 1 0.98 1.74 .2035 1 0.98 1.65 .2036 1 0.98 1.74 .2037 1 0.98 1.82 .2038 2 0.97 1.77 .2039 4 0.97 1.86 .2040 2 0.97 1.95 .2041 4 0.97 1.89 .2042 1 0.97 2.01 .2043 3 0.97 1.91 .2044 2 0.97 2.03 .2045 2 0.97 2.04 .2046 4 0.97 2.11 .2047 4 0.97 2.05 EXTRACT_IMAGE: sdR-b1-00034588.fit: masked 4009 pixels DIVIDEFLAT: sdR-b1-00034588.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034588.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034588.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034588.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034588.fit: Warning: Reject 448 low points in trace 279 DIVIDEFLAT: sdR-b1-00034588.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034588.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-b1-00034588.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034588.fit: sky shift reference line, offset: 5577.3390 -0.046180376 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 8 -0.25000000 -130.65175 0.0000000 1.0000000 -35.353382 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 17 -0.25000000 -95.422440 0.0000000 1.0000000 -5.4644241 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 28 0.10292568 -21.603410 -0.32721425 1.3661629 63.232890 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 32 1.8040139 -53.056077 0.85372773 0.60000000 103.68652 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 43 1.3367962 -5.0160443 -0.79173437 0.96700749 57.026791 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 44 1.4714909 -24.976648 -0.30424008 2.0000000 70.545288 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 70 0.51201850 -4.7931010 0.12796749 1.4275495 46.231539 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 78 0.90208009 -43.414904 -0.10903010 2.0000000 71.781725 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 89 0.67174961 12.629513 -0.14215557 1.6180028 70.910879 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 95 1.2350738 -33.674318 -0.90574768 2.0000000 68.838746 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 101 0.96048609 39.135186 0.091582818 1.4890034 54.141670 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 123 0.72493162 26.780980 -0.27203524 1.3192570 77.167035 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 124 0.18147961 -22.058802 0.31606530 2.0000000 57.500721 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 126 0.54066145 -24.317468 -0.68084288 1.4297691 76.065119 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 134 0.87189493 -27.206042 -0.068372197 0.63607200 92.897004 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 156 2.4061891 25.884082 0.39893389 1.4301687 55.860886 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 203 0.38822981 -2.1336846 -0.23945324 2.0000000 62.046745 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 216 0.93745781 10.762079 -0.45589947 1.3383052 49.877291 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 218 0.95040220 -8.0015675 0.83898635 0.62759071 70.993526 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 245 0.94184256 0.70197281 -0.057052271 0.98481803 67.726434 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 255 1.5399165 16.692584 -0.62897577 0.82381512 83.649547 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 262 1.8103220 -15.252153 -0.15825388 0.84769302 73.533443 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 267 0.60807032 -71.413632 -0.48937136 2.0000000 75.556005 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 273 -0.25000000 -72.577538 0.0000000 1.0000000 -8.2414780 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 283 0.88003659 -47.713007 0.37517098 2.0000000 77.510771 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 289 2.1113637 -36.586530 -0.41904860 1.5182756 57.627508 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 311 1.2835905 -26.413774 -0.038165821 1.7843168 58.158744 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 314 0.68041979 -33.902132 0.37933839 0.60000000 100.84802 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 0 317 0.71467613 -22.050797 -0.46546325 1.2045094 46.881006 LOCATESKYLINES_2: sdR-b1-00034588.fit: comb1 l,chi^2/dof,fit: 0 0.57767319 0.014427371 -0.23337424 1.2667685 0.87842319 LOCATESKYLINES_2: sdR-b1-00034588.fit: kept 153 of 153 points LOCATESKYLINES_2: sdR-b1-00034588.fit: offset, refoff, sigma: -0.279555-0.2333740.089551 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 8 0.40759870 -193.66248 -0.34131278 1.1980840 220.46395 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 17 -0.25000000 -184.20068 0.0000000 1.0000000 -15.520709 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 28 1.5925869 -142.32276 -0.29015379 1.3670897 161.99543 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 32 -0.25000000 -210.61157 0.0000000 1.0000000 -18.820087 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 43 1.0633951 -77.105627 -0.16362677 1.1685909 165.20340 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 44 0.43725164 -66.039041 -0.19487684 0.96733676 206.88622 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 70 0.80286691 -8.6541788 -0.33322831 1.1098373 184.86210 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 78 1.0089038 -40.705351 -0.36337411 1.1705154 172.11921 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 89 0.54274360 -24.657627 -0.34366432 1.1730034 238.22269 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 95 0.86569626 -34.873404 -0.18381702 1.2803254 219.78812 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 101 0.55593952 40.323033 -0.14469197 0.99527207 225.21197 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 123 0.32932810 56.092277 -0.093157333 1.0403400 147.06138 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 124 2.4474647 -8.8433605 -0.21935851 1.3117850 188.63470 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 126 0.98501610 7.5883327 -0.10576451 0.91841439 205.29166 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 134 1.0995555 -9.8248495 0.041947062 0.93712975 206.22096 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 156 0.96510064 39.691191 -0.10538237 0.97452691 245.51118 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 203 2.1720048 -1.1500824 -0.14260466 1.2368987 207.16487 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 216 0.20154731 -15.839153 -0.24972839 1.4500865 190.19531 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 218 0.97770867 -33.536202 -0.26284541 1.2331244 210.33188 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 245 0.74142964 -23.167834 -0.054356852 1.2299353 216.76947 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 255 0.32688504 -14.513655 -0.16767515 1.0450300 212.24051 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 262 0.51292331 -46.151427 -0.47611206 0.83686358 198.23208 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 267 0.31099130 -113.67804 -0.23404437 1.2438576 216.64609 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 273 0.77643790 -105.54424 0.069723514 0.97230916 229.39420 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 283 0.39000014 -106.64645 -0.26865802 1.5279475 177.68985 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 289 0.12735773 -75.525443 -0.11690638 1.1865229 238.97184 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 311 0.55595522 -22.842128 -0.19964608 0.97285186 192.22953 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 314 0.76028187 -85.709470 -0.083766182 1.7371100 240.76228 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 1 317 3.3613580 -28.429182 0.042224469 1.2532246 225.20989 LOCATESKYLINES_2: sdR-b1-00034588.fit: comb1 l,chi^2/dof,fit: 1 0.94678437 0.0068877014 -0.16698715 1.1515796 0.97606178 LOCATESKYLINES_2: sdR-b1-00034588.fit: kept 243 of 243 points LOCATESKYLINES_2: sdR-b1-00034588.fit: offset, refoff, sigma: -0.213168-0.1669870.024799 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 8 -0.25000000 -296.36533 0.0000000 1.0000000 -18.067204 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -509.08829 0.0000000 1.0000000 -213.53424 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 28 -0.25000000 -351.64304 0.0000000 1.0000000 -77.643990 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -359.00931 0.0000000 1.0000000 -146.07016 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 43 0.95550906 -252.55921 -0.17387697 1.8020564 246.36053 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 44 0.14760448 -168.55692 0.041971704 1.1303800 250.31259 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 70 0.34072901 -63.035928 -0.091025802 1.5804247 289.29544 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 78 1.3875503 -35.763499 0.090339168 1.0823128 234.52308 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 89 1.4516544 -61.883807 -0.013042280 1.2278590 314.26798 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 95 1.3342691 -39.167986 0.11239846 1.1899679 242.66581 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 101 1.0359734 68.620311 -0.12078106 1.1911744 222.47058 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 123 1.0547944 47.713546 -0.19878071 1.4269474 279.37894 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 124 46.048123 -12.721267 -1.0000000 1.4124833 518.96692 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 126 0.48306457 12.365575 -0.23243163 1.1048438 241.73367 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 134 1.8529524 13.818746 -0.019318647 1.1226419 250.24657 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 156 0.91034285 84.580897 -0.019579531 1.1284412 280.43822 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 203 1.8431114 -4.1361736 -0.022408941 1.1166450 285.16187 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 216 0.25738119 30.461140 0.11347978 0.82935959 275.58362 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 218 1.9662245 -28.329924 0.0069256210 1.3661297 264.90960 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 245 0.41955398 -1.3670297 -0.19857915 1.2717956 258.96486 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 255 1.1739414 -8.6936335 -0.036162571 1.2499893 277.14768 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 262 1.2202357 -38.427293 0.11054420 0.91197012 271.94355 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 267 1.0494454 -140.15349 -0.085281917 1.4657388 297.32610 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 273 1.0569864 -129.68091 0.21982567 1.2668593 238.33601 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 283 1.3167882 -76.343576 0.14405872 1.0357014 258.91181 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 289 0.97370683 -74.013248 -0.18856579 1.0521767 290.10161 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 311 2.3838415 -30.339750 0.059544588 1.0586217 252.19743 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 314 0.51883854 -22.335850 0.28700537 1.4490860 270.00818 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 2 317 0.98518231 -42.170488 -0.28415100 1.7768664 267.78179 LOCATESKYLINES_2: sdR-b1-00034588.fit: comb1 l,chi^2/dof,fit: 2 1.0613031 0.015930842 -0.020004579 1.2122996 0.97372077 LOCATESKYLINES_2: sdR-b1-00034588.fit: kept 216 of 216 points LOCATESKYLINES_2: sdR-b1-00034588.fit: offset, refoff, sigma: -0.066185-0.0200050.026096 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 8 2.3880285 -384.70369 -0.063886237 0.93207325 3846.7718 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 17 6.4123311 -531.20501 -0.044091587 0.93943636 3730.6697 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 28 3.8999894 -382.37079 -0.045543440 0.92126147 3728.1744 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 32 2.2709958 -388.78545 -0.057936202 0.92692151 3691.4070 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 43 5.4720359 -265.79510 -0.034584375 0.98525285 3612.9119 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 44 2.8322390 -209.39635 -0.036939281 0.92470836 3829.0809 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 70 8.5242213 -65.341510 -0.00076728974 0.93248523 3753.8715 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 78 6.8888436 -36.044336 -0.015320468 0.91069313 3842.5698 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 89 1.5367531 -62.775260 -0.0046065918 0.94975614 3661.4972 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 95 4.2188249 -53.267725 -0.028459970 0.95124629 3752.3896 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 101 8.1214570 51.122001 0.025354310 0.91764192 3814.0954 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 123 5.1113809 44.121261 0.0032419685 0.96751376 3772.6403 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 124 3.2802342 -10.536834 -0.015573367 0.99817249 3398.7048 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 126 5.8598547 5.0809652 0.022001598 0.96331849 3705.6095 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 134 1.9704087 -11.348343 -0.0015838335 0.93271370 3794.8257 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 156 3.7113827 71.882457 0.017277484 0.97369179 3571.4953 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 203 4.5292199 -12.493171 -0.0017784355 0.96738851 3628.3817 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 216 5.9869111 -31.619627 0.011332644 0.94104166 3653.8796 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 218 10.615745 -20.401082 0.031446529 0.94686165 3688.6688 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 245 3.6471681 -29.823896 0.0092734734 0.98670823 3661.4728 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 255 4.5139344 -14.323769 0.0030734155 0.94339028 3807.9182 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 262 3.5274402 -69.182058 0.022377314 1.0034903 3523.8693 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 267 7.1243637 -151.07760 0.015636647 1.0306795 3450.7285 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 273 1.4901548 -124.96798 0.013419119 0.95966539 3665.2394 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 283 1.5515587 -99.315079 0.0031376474 0.98344669 3628.0201 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 289 3.5639509 -67.957814 -0.0042403305 0.94995147 3678.5917 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 311 2.0549977 -61.994603 0.0040331161 0.97657046 3657.0102 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 314 3.1868748 -12.462670 0.037767012 1.0076689 3557.0574 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 3 317 3.9316782 -1.3690401 0.0068834095 0.99069392 3630.5152 LOCATESKYLINES_2: sdR-b1-00034588.fit: comb1 l,chi^2/dof,fit: 3 3.7887432 0.00010442758 -0.0039178668 0.95599152 0.99911448 LOCATESKYLINES_2: sdR-b1-00034588.fit: sigma-clipped to 249 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034588.fit: comb2 l,chi^2/dof,fit: 3 2.5301221 0.00050572556 -0.0037869608 0.96014689 0.99326499 LOCATESKYLINES_2: sdR-b1-00034588.fit: kept 249 of 261 points LOCATESKYLINES_2: sdR-b1-00034588.fit: offset, refoff, sigma: -0.049967-0.0037870.002877 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 8 18.717632 -208.93675 -0.14324414 0.75603439 618.48502 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 17 6.5754416 -390.35821 -0.090483635 0.85876416 681.11439 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 28 15.176843 -274.92582 0.044724654 0.97116250 556.01149 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 32 12.587583 -290.10874 0.030318776 0.85827094 598.82618 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 43 17.822861 -162.41577 -0.10541844 0.86129440 587.79303 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 44 15.954030 -126.89354 -0.025416254 0.93134294 602.10743 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 70 12.599725 11.303555 0.0076880544 0.90845120 644.45958 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 78 17.181291 8.8816766 -0.045426780 0.80385935 600.57586 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 89 10.225518 20.570096 0.058405160 0.88503719 657.62060 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 95 19.634969 42.703267 0.093762969 0.75021701 545.70132 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 101 37.482367 131.89792 0.063691293 0.77725997 594.51012 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 123 18.222196 70.311955 0.12749622 0.85893937 565.63525 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 124 15.718076 -0.92424253 0.10474722 0.97556745 574.15117 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 126 14.644729 -16.797209 0.11907027 0.96773007 608.00335 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 134 20.656913 -41.343849 0.046054599 0.89930406 562.48368 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 156 23.773746 150.76066 0.064622137 0.87560197 587.68837 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 203 13.934751 8.1341274 0.091953961 0.88281957 568.65304 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 216 27.983337 49.645493 0.033942796 0.79543916 558.24138 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 218 25.924787 80.853555 0.052381272 0.77372239 521.32053 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 245 19.007692 64.212912 0.13947077 0.83132033 561.06573 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 255 16.775197 45.431006 -0.0080623877 0.93890835 512.56278 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 262 14.285747 -17.051319 0.070935099 0.89437082 563.57204 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 267 16.054295 -12.292584 0.083411898 0.83126815 523.58905 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 273 11.347491 -97.531875 0.078391564 1.1558560 514.76543 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 283 6.9629034 -52.498348 0.066457601 1.0097977 573.16900 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 289 19.030812 -13.682874 0.053933153 0.87292611 550.21878 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 311 19.898274 -12.289579 0.058127423 0.89420710 558.61621 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 314 19.200410 34.359837 0.087142249 0.77716372 649.91703 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 4 317 6.8088573 3.1632913 -0.031184362 1.0598773 594.27402 LOCATESKYLINES_2: sdR-b1-00034588.fit: comb1 l,chi^2/dof,fit: 4 10.320519 0.0026238891 0.038349517 0.87502453 0.99245657 LOCATESKYLINES_2: sdR-b1-00034588.fit: sigma-clipped to 227 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034588.fit: comb2 l,chi^2/dof,fit: 4 1.9714883 -0.073464614 0.026941791 0.96614985 1.0450951 LOCATESKYLINES_2: sdR-b1-00034588.fit: kept 227 of 261 points LOCATESKYLINES_2: sdR-b1-00034588.fit: offset, refoff, sigma: -0.0192390.0269420.010089 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 8 42.724100 -163.90306 -0.075421097 0.60000000 347.52299 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 17 29.014715 -285.04455 -0.20155113 0.61298956 371.43232 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 28 27.262876 -244.40459 -0.080914613 0.83020599 375.99921 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 32 31.800406 -256.93890 0.086030834 0.82338686 345.51831 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 43 19.435152 -142.73544 0.032457202 0.71691358 396.21611 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 44 36.290348 -108.65475 -0.050849387 0.78924692 381.94318 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 70 61.905369 75.697100 -0.055639248 0.74211258 345.50306 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 78 22.396092 -14.163680 -0.044477637 0.73342836 397.39259 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 89 54.475227 32.538214 0.010546897 0.77938257 335.84208 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 95 43.727253 55.974447 -0.016441154 0.64117631 322.34513 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 101 68.084088 150.22942 0.025348968 0.60000000 366.65536 LOCATESKYLINES_2: sdR-b1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 123 25.089800 54.491989 0.036424113 0.79899987 378.21606 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 124 26.566190 24.512914 -0.099604027 0.80975652 329.69005 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 126 28.127063 13.709414 0.016462663 0.76143966 290.23311 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 134 26.627434 -43.489104 -0.023284172 0.83459282 407.05963 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 156 35.809182 154.81565 -0.011928800 0.82693553 310.45457 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 203 34.634797 31.375793 0.21522400 0.87515043 291.03146 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 216 46.366782 73.361475 -0.084687549 0.66926040 334.72363 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 218 44.497992 69.403140 0.14020256 0.67331308 344.93330 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 245 12.505196 23.354234 0.10992829 0.73240442 370.02446 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 255 22.512902 58.825567 0.080280345 0.76481485 294.85539 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 262 25.987845 -5.1308516 0.11752179 0.87557877 329.02684 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 267 9.1447530 -38.789247 0.14605261 0.72584427 360.78429 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 273 33.761642 -26.062829 0.097529809 0.78184251 259.47215 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 283 31.990096 8.5511377 0.013733582 0.70604255 308.95862 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 289 13.102468 -38.026872 -0.10448590 0.83596465 359.45780 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 311 24.493399 1.4661128 0.23704553 0.75388208 369.17803 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 314 16.111415 -16.480778 0.069112946 0.85530359 409.02968 LOCATESKYLINES_2: sdR-b1-00034588.fit: l,f,chi^2/dof,c: 5 317 45.259085 93.874412 0.0097287775 0.69500935 278.72363 LOCATESKYLINES_2: sdR-b1-00034588.fit: comb1 l,chi^2/dof,fit: 5 16.406192 -0.0037155852 0.025918725 0.80000000 0.97325233 LOCATESKYLINES_2: sdR-b1-00034588.fit: sigma-clipped to 209 of 243 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034588.fit: comb2 l,chi^2/dof,fit: 5 1.8462844 -0.14054226 0.030808115 0.91244077 1.0997653 LOCATESKYLINES_2: sdR-b1-00034588.fit: kept 209 of 243 points LOCATESKYLINES_2: sdR-b1-00034588.fit: offset, refoff, sigma: -0.0153720.0308080.015005 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 5284.4445 DOF = 1548 P(0) = -4.89587 P(1) = 0.00000 P(2) = -4.89587 P(3) = -4.89587 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 4841.1882 DOF = 1548 P(0) = -3.59566 P(1) = -7.77596E-05 P(2) = -9.79148 P(3) = 25.9610 P(4) = 0.000130000 P(5) = 0.150117 Iter 3 CHI-SQUARE = 4661.5485 DOF = 1548 P(0) = -4.59921 P(1) = 4.95781E-05 P(2) = 8.07961 P(3) = 47.3749 P(4) = 0.000130000 P(5) = 0.324889 Iter 4 CHI-SQUARE = 4630.7683 DOF = 1548 P(0) = -4.29648 P(1) = 1.67611E-05 P(2) = 2.43370 P(3) = 54.0662 P(4) = 0.000130000 P(5) = 0.265243 Iter 5 CHI-SQUARE = 4629.6974 DOF = 1548 P(0) = -3.99290 P(1) = 1.98432E-05 P(2) = 3.09576 P(3) = 55.0195 P(4) = 0.000130000 P(5) = 0.275462 Iter 6 CHI-SQUARE = 4629.6964 DOF = 1548 P(0) = -3.98980 P(1) = 2.00298E-05 P(2) = 3.13611 P(3) = 55.0265 P(4) = 0.000130000 P(5) = 0.275714 Iter 6 CHI-SQUARE = 4629.6964 DOF = 1548 P(0) = -3.98980 P(1) = 2.00298E-05 P(2) = 3.13611 P(3) = 55.0265 P(4) = 0.000130000 P(5) = 0.275714 FITMOONPLUSLINE: sdR-b1-00034588.fit: fit coeffs: -3.9897980 2.0029796e-05 3.1361122 55.026471 0.00013000000 0.27571445 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034588.fit: changing 4046.58 correction from -0.279555 to -0.18119716 pixels, err= 0.094983106 Iter 1 CHI-SQUARE = 28780.538 DOF = 3199 P(0) = -18.8882 P(1) = 0.00000 P(2) = -18.8882 P(3) = -18.8882 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 24913.535 DOF = 3199 P(0) = -25.8483 P(1) = -2.69445E-05 P(2) = 0.772501 P(3) = 179.666 P(4) = 0.000130000 P(5) = -0.161173 Iter 3 CHI-SQUARE = 24611.654 DOF = 3199 P(0) = -25.6595 P(1) = 2.90000E-05 P(2) = 3.48423 P(3) = 174.642 P(4) = 0.000130000 P(5) = -0.162712 Iter 4 CHI-SQUARE = 24603.033 DOF = 3199 P(0) = -25.9002 P(1) = 2.55572E-05 P(2) = -0.573341 P(3) = 182.633 P(4) = 0.000130000 P(5) = -0.161628 Iter 5 CHI-SQUARE = 24603.000 DOF = 3199 P(0) = -25.8955 P(1) = 2.61458E-05 P(2) = -0.508576 P(3) = 182.642 P(4) = 0.000130000 P(5) = -0.161886 Iter 6 CHI-SQUARE = 24602.999 DOF = 3199 P(0) = -25.8958 P(1) = 2.60818E-05 P(2) = -0.521058 P(3) = 182.645 P(4) = 0.000130000 P(5) = -0.161888 Iter 7 CHI-SQUARE = 24602.999 DOF = 3199 P(0) = -25.8957 P(1) = 2.60957E-05 P(2) = -0.519731 P(3) = 182.645 P(4) = 0.000130000 P(5) = -0.161889 Iter 8 CHI-SQUARE = 24602.999 DOF = 3199 P(0) = -25.8957 P(1) = 2.60904E-05 P(2) = -0.519820 P(3) = 182.645 P(4) = 0.000130000 P(5) = -0.161889 Iter 8 CHI-SQUARE = 24602.999 DOF = 3199 P(0) = -25.8957 P(1) = 2.60904E-05 P(2) = -0.519820 P(3) = 182.645 P(4) = 0.000130000 P(5) = -0.161889 FITMOONPLUSLINE: sdR-b1-00034588.fit: fit coeffs: -25.895739 2.6090413e-05 -0.51982047 182.64477 0.00013000000 -0.16188866 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034588.fit: changing 4358.33 correction from -0.213168 to -0.24084198 pixels, err= 0.030894110 Iter 1 CHI-SQUARE = 26919.668 DOF = 1068 P(0) = -21.3968 P(1) = 0.00000 P(2) = -21.3968 P(3) = -21.3968 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 23928.035 DOF = 1068 P(0) = -41.2708 P(1) = 9.77257E-05 P(2) = -3.03075 P(3) = 229.413 P(4) = 0.000130000 P(5) = 0.216936 Iter 3 CHI-SQUARE = 23069.679 DOF = 1068 P(0) = -38.2455 P(1) = 1.85138E-05 P(2) = 37.4065 P(3) = 199.724 P(4) = 0.000130000 P(5) = 0.172291 Iter 4 CHI-SQUARE = 23036.763 DOF = 1068 P(0) = -40.4629 P(1) = 2.20132E-06 P(2) = -73.7456 P(3) = 233.750 P(4) = 0.000130000 P(5) = 0.156284 Iter 5 CHI-SQUARE = 23021.824 DOF = 1068 P(0) = -40.9667 P(1) = 2.19899E-06 P(2) = -25.3654 P(3) = 231.701 P(4) = 0.000130000 P(5) = 0.180934 Iter 6 CHI-SQUARE = 23018.433 DOF = 1068 P(0) = -40.0607 P(1) = 2.70982E-06 P(2) = 15.8423 P(3) = 228.525 P(4) = 0.000130000 P(5) = 0.199340 Iter 7 CHI-SQUARE = 23015.838 DOF = 1068 P(0) = -41.2746 P(1) = 3.23000E-06 P(2) = 14.5661 P(3) = 228.357 P(4) = 0.000130000 P(5) = 0.194655 Iter 8 CHI-SQUARE = 23014.390 DOF = 1068 P(0) = -40.5486 P(1) = 4.31049E-06 P(2) = 14.7394 P(3) = 228.470 P(4) = 0.000130000 P(5) = 0.214190 Iter 9 CHI-SQUARE = 23013.961 DOF = 1068 P(0) = -39.9541 P(1) = 5.39210E-06 P(2) = 11.2164 P(3) = 228.794 P(4) = 0.000130000 P(5) = 0.191435 Iter 10 CHI-SQUARE = 23011.286 DOF = 1068 P(0) = -41.4486 P(1) = 5.87899E-06 P(2) = 4.11406 P(3) = 229.130 P(4) = 0.000130000 P(5) = 0.193189 Iter 11 CHI-SQUARE = 23009.815 DOF = 1068 P(0) = -41.1353 P(1) = 6.92528E-06 P(2) = 3.89798 P(3) = 229.230 P(4) = 0.000130000 P(5) = 0.195320 Iter 12 CHI-SQUARE = 23007.982 DOF = 1068 P(0) = -40.9963 P(1) = 9.01952E-06 P(2) = 2.90464 P(3) = 229.334 P(4) = 0.000130000 P(5) = 0.193617 Iter 13 CHI-SQUARE = 23006.708 DOF = 1068 P(0) = -41.3204 P(1) = 1.12216E-05 P(2) = -4.94147 P(3) = 229.809 P(4) = 0.000130000 P(5) = 0.183937 Iter 14 CHI-SQUARE = 23006.328 DOF = 1068 P(0) = -41.2752 P(1) = 1.11199E-05 P(2) = -18.7454 P(3) = 230.591 P(4) = 0.000130000 P(5) = 0.189601 Iter 15 CHI-SQUARE = 23006.259 DOF = 1068 P(0) = -41.3277 P(1) = 1.13719E-05 P(2) = -17.5163 P(3) = 230.521 P(4) = 0.000130000 P(5) = 0.187555 Iter 16 CHI-SQUARE = 23006.171 DOF = 1068 P(0) = -41.1932 P(1) = 1.18760E-05 P(2) = -17.5254 P(3) = 230.528 P(4) = 0.000130000 P(5) = 0.182620 Iter 17 CHI-SQUARE = 23006.108 DOF = 1068 P(0) = -41.3088 P(1) = 1.23851E-05 P(2) = -19.2672 P(3) = 230.607 P(4) = 0.000130000 P(5) = 0.185488 Iter 18 CHI-SQUARE = 23006.094 DOF = 1068 P(0) = -41.2885 P(1) = 1.22654E-05 P(2) = -22.5371 P(3) = 230.779 P(4) = 0.000130000 P(5) = 0.188312 Iter 19 CHI-SQUARE = 23006.088 DOF = 1068 P(0) = -41.2790 P(1) = 1.25075E-05 P(2) = -21.1866 P(3) = 230.706 P(4) = 0.000130000 P(5) = 0.189108 Iter 20 CHI-SQUARE = 23006.084 DOF = 1068 P(0) = -41.2912 P(1) = 1.24985E-05 P(2) = -22.6206 P(3) = 230.780 P(4) = 0.000130000 P(5) = 0.187791 Iter 21 CHI-SQUARE = 23006.084 DOF = 1068 P(0) = -41.2858 P(1) = 1.25226E-05 P(2) = -22.4997 P(3) = 230.774 P(4) = 0.000130000 P(5) = 0.187606 Iter 22 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2930 P(1) = 1.25347E-05 P(2) = -22.6102 P(3) = 230.779 P(4) = 0.000130000 P(5) = 0.187586 Iter 23 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2890 P(1) = 1.25407E-05 P(2) = -22.6614 P(3) = 230.782 P(4) = 0.000130000 P(5) = 0.187648 Iter 24 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2902 P(1) = 1.25377E-05 P(2) = -22.7064 P(3) = 230.784 P(4) = 0.000130000 P(5) = 0.187691 Iter 25 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2902 P(1) = 1.25392E-05 P(2) = -22.6883 P(3) = 230.783 P(4) = 0.000130000 P(5) = 0.187677 Iter 26 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2903 P(1) = 1.25400E-05 P(2) = -22.6913 P(3) = 230.783 P(4) = 0.000130000 P(5) = 0.187686 Iter 27 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2904 P(1) = 1.25396E-05 P(2) = -22.6951 P(3) = 230.783 P(4) = 0.000130000 P(5) = 0.187687 Iter 28 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2904 P(1) = 1.25398E-05 P(2) = -22.6946 P(3) = 230.783 P(4) = 0.000130000 P(5) = 0.187688 Iter 29 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2904 P(1) = 1.25397E-05 P(2) = -22.6950 P(3) = 230.784 P(4) = 0.000130000 P(5) = 0.187688 Iter 29 CHI-SQUARE = 23006.083 DOF = 1068 P(0) = -41.2904 P(1) = 1.25397E-05 P(2) = -22.6950 P(3) = 230.784 P(4) = 0.000130000 P(5) = 0.187688 FITMOONPLUSLINE: sdR-b1-00034588.fit: fit coeffs: -41.290395 1.2539712e-05 -22.695041 230.78352 0.00013000000 0.18768833 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034588.fit: changing 5460.94 correction from -0.0661850 to -0.12959424 pixels, err= 0.031072925 LOCATESKYLINES_2: sdR-b1-00034588.fit: applying 0.00 pixel correction to -0.02 -0.02 0.62 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 FITMEANX: sdR-b1-00034588.fit: In skyline number 0 std-dev is 0.34823662 pix FITMEANX: sdR-b1-00034588.fit: In skyline number 1 std-dev is 0.11748511 pix FITMEANX: sdR-b1-00034588.fit: In skyline number 2 std-dev is 0.13617035 pix FITMEANX: sdR-b1-00034588.fit: In skyline number 3 std-dev is 0.020881195 pix FITMEANX: sdR-b1-00034588.fit: In skyline number 4 std-dev is 0.075132607 pix FITMEANX: sdR-b1-00034588.fit: In skyline number 5 std-dev is 0.096675607 pix LOCATESKYLINES_2: sdR-b1-00034588.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034588.fit: In sky feature at 4046.5600 coadded std-dev is 0.0949831 pix LOCATESKYLINES_2: sdR-b1-00034588.fit: In sky feature at 4358.3300 coadded std-dev is 0.0308941 pix LOCATESKYLINES_2: sdR-b1-00034588.fit: In sky feature at 5460.9400 coadded std-dev is 0.0310729 pix LOCATESKYLINES_2: sdR-b1-00034588.fit: In sky feature at 5577.3390 coadded std-dev is 0.00287654 pix LOCATESKYLINES_2: sdR-b1-00034588.fit: In sky feature at 5889.9500 coadded std-dev is 0.0100891 pix LOCATESKYLINES_2: sdR-b1-00034588.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034588.fit: Median arc shift = -0.13545125 pix LOCATESKYLINES_2: sdR-b1-00034588.fit: Dispersion in arc shift = 0.098218419 pix LOCATESKYLINES_2: sdR-b1-00034588.fit: Maximum sky-line shift is 0.29040998 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Number of sky fibers = 25 ROW NITER SIG(med) CHI^2 .0000 7 0.89 0.85 .0001 2 0.89 0.94 .0002 2 0.89 1.43 .0003 3 0.89 0.87 .0004 5 0.89 0.73 .0005 2 0.89 0.88 .0006 2 0.89 1.29 .0007 10 0.89 0.43 .0008 1 0.89 0.13 .0009 2 0.89 1.31 .0010 3 0.89 0.72 .0011 4 0.89 1.09 .0012 4 0.89 0.81 .0013 3 0.89 0.92 .0014 2 0.89 0.77 .0015 2 0.89 0.28 .0016 7 0.89 1.25 .0017 1 0.89 0.12 .0018 11 0.89 0.60 .0019 9 0.89 1.04 .0020 3 0.91 1.32 .0021 3 0.91 0.94 .0022 3 0.91 1.22 .0023 3 0.91 1.31 .0024 10 0.91 0.70 .0025 2 0.91 1.18 .0026 2 0.91 0.63 .0027 4 0.91 0.78 .0028 2 0.91 0.14 .0029 11 0.91 0.47 .0030 6 0.91 1.06 .0031 2 0.91 0.82 .0032 1 0.91 0.11 .0033 7 0.91 0.72 .0034 2 0.91 1.21 .0035 3 0.91 1.31 .0036 10 0.91 0.39 .0037 2 0.91 2.32 .0038 5 0.91 1.02 .0039 2 0.91 0.81 .0040 2 0.91 1.38 .0041 3 0.91 1.42 .0042 5 0.91 1.48 .0043 1 0.91 0.09 .0044 1 0.91 0.08 .0045 2 0.91 1.38 .0046 2 0.91 1.13 .0047 2 0.91 1.29 .0048 3 0.91 1.94 .0049 3 0.91 1.05 .0050 4 0.91 1.23 .0051 3 0.91 1.22 .0052 2 0.91 1.43 .0053 5 0.91 1.10 .0054 3 0.91 0.95 .0055 6 0.91 0.85 .0056 3 0.91 0.89 .0057 2 0.91 1.57 .0058 5 0.91 0.95 .0059 2 0.91 0.77 .0060 1 0.88 0.27 .0061 3 0.88 0.14 .0062 1 0.88 0.11 .0063 2 0.88 0.20 .0064 1 0.88 0.18 .0065 1 0.88 0.10 .0066 3 0.88 1.50 .0067 1 0.88 0.12 .0068 1 0.88 0.12 .0069 1 0.88 0.15 .0070 1 0.88 0.08 .0071 11 0.88 0.67 .0072 1 0.88 0.09 .0073 2 0.88 0.21 .0074 1 0.88 0.12 .0075 1 0.88 0.25 .0076 5 0.88 0.99 .0077 8 0.88 0.98 .0078 1 0.88 0.09 .0079 6 0.88 0.84 .0080 2 0.90 1.37 .0081 3 0.90 0.91 .0082 3 0.90 0.94 .0083 4 0.90 1.31 .0084 8 0.90 0.72 .0085 4 0.90 0.88 .0086 2 0.90 1.61 .0087 2 0.90 1.44 .0088 4 0.90 0.85 .0089 1 0.90 0.08 .0090 0 0.90 0.00 .0091 1 0.90 0.11 .0092 2 0.90 0.68 .0093 3 0.90 1.11 .0094 9 0.90 0.67 .0095 1 0.90 0.08 .0096 3 0.90 1.25 .0097 3 0.90 0.92 .0098 3 0.90 0.99 .0099 5 0.90 1.16 .0100 1 0.90 0.14 .0101 1 0.90 0.08 .0102 1 0.90 0.10 .0103 1 0.90 0.13 .0104 1 0.90 0.18 .0105 1 0.90 0.12 .0106 1 0.90 0.24 .0107 1 0.90 0.20 .0108 2 0.90 0.28 .0109 1 0.90 0.11 .0110 1 0.90 0.11 .0111 1 0.90 0.15 .0112 1 0.90 0.16 .0113 1 0.90 0.21 .0114 1 0.90 0.13 .0115 1 0.90 0.18 .0116 1 0.90 0.13 .0117 1 0.90 0.26 .0118 1 0.90 0.11 .0119 1 0.90 0.11 .0120 5 0.92 1.14 .0121 8 0.92 0.72 .0122 3 0.92 0.80 .0123 1 0.92 0.08 .0124 2 0.92 0.12 .0125 9 0.92 0.67 .0126 1 0.92 0.08 .0127 3 0.92 1.19 .0128 3 0.92 1.18 .0129 2 0.92 0.77 .0130 3 0.92 1.46 .0131 2 0.92 2.32 .0132 6 0.92 1.05 .0133 11 0.92 0.34 .0134 1 0.92 0.10 .0135 3 0.92 0.83 .0136 3 0.92 1.44 .0137 11 0.92 0.42 .0138 7 0.92 0.84 .0139 6 0.92 1.33 .0140 1 0.93 0.08 .0141 1 0.93 0.12 .0142 1 0.93 0.11 .0143 1 0.93 0.11 .0144 2 0.93 0.11 .0145 2 0.93 0.20 .0146 1 0.93 0.11 .0147 1 0.93 0.26 .0148 1 0.93 0.08 .0149 3 0.93 1.20 .0150 1 0.93 0.09 .0151 1 0.93 0.10 .0152 1 0.93 0.21 .0153 1 0.93 0.25 .0154 1 0.93 0.09 .0155 1 0.93 0.10 .0156 1 0.93 0.08 .0157 1 0.93 0.13 .0158 1 0.93 0.09 .0159 1 0.93 0.16 .0160 1 0.93 0.09 .0161 1 0.93 0.16 .0162 1 0.93 0.15 .0163 1 0.93 0.17 .0164 1 0.93 0.12 .0165 1 0.93 0.11 .0166 1 0.93 0.14 .0167 1 0.93 0.13 .0168 1 0.93 0.15 .0169 1 0.93 0.10 .0170 1 0.93 0.09 .0171 1 0.93 0.10 .0172 1 0.93 0.09 .0173 1 0.93 0.14 .0174 2 0.93 0.15 .0175 1 0.93 0.10 .0176 1 0.93 0.11 .0177 1 0.93 0.10 .0178 1 0.93 0.10 .0179 1 0.93 0.14 .0180 2 0.94 1.30 .0181 1 0.94 0.27 .0182 1 0.94 0.09 .0183 1 0.94 0.08 .0184 1 0.94 0.11 .0185 1 0.94 0.15 .0186 1 0.94 0.10 .0187 1 0.94 0.10 .0188 1 0.94 0.13 .0189 1 0.94 0.08 .0190 1 0.94 0.12 .0191 1 0.94 0.07 .0192 1 0.94 0.09 .0193 1 0.94 0.17 .0194 2 0.94 0.94 .0195 1 0.94 0.10 .0196 1 0.94 0.09 .0197 4 0.94 0.66 .0198 1 0.94 0.13 .0199 1 0.94 0.22 .0200 2 0.93 1.14 .0201 2 0.93 2.18 .0202 4 0.93 0.81 .0203 1 0.93 0.08 .0204 4 0.93 0.96 .0205 2 0.93 0.87 .0206 1 0.93 0.52 .0207 3 0.93 1.27 .0208 1 0.93 0.71 .0209 3 0.93 0.88 .0210 10 0.93 0.80 .0211 10 0.93 0.57 .0212 3 0.93 0.86 .0213 4 0.93 0.74 .0214 3 0.93 1.28 .0215 3 0.93 0.81 .0216 1 0.93 0.09 .0217 7 0.93 1.20 .0218 1 0.93 0.10 .0219 6 0.93 1.44 .0220 4 0.94 1.37 .0221 1 0.94 0.20 .0222 2 0.94 1.35 .0223 1 0.94 0.08 .0224 9 0.94 0.65 .0225 3 0.94 0.91 .0226 4 0.94 1.20 .0227 3 0.94 1.19 .0228 10 0.94 0.57 .0229 1 0.94 0.18 .0230 1 0.94 0.10 .0231 6 0.94 0.73 .0232 1 0.94 0.15 .0233 1 0.94 0.12 .0234 1 0.94 0.09 .0235 2 0.94 0.15 .0236 1 0.94 0.10 .0237 1 0.94 0.11 .0238 1 0.94 0.16 .0239 3 0.94 0.17 .0240 3 0.95 0.80 .0241 9 0.95 0.70 .0242 1 0.95 0.29 .0243 4 0.95 0.87 .0244 4 0.95 0.94 .0245 1 0.95 0.07 .0246 1 0.95 0.89 .0247 2 0.95 0.89 .0248 4 0.95 0.95 .0249 3 0.95 1.33 .0250 2 0.95 1.06 .0251 0 0.95 0.00 .0252 4 0.95 0.92 .0253 8 0.95 0.80 .0254 3 0.95 1.24 .0255 1 0.95 0.08 .0256 1 0.95 0.86 .0257 9 0.95 0.75 .0258 2 0.95 1.38 .0259 2 0.95 1.06 .0260 8 0.97 0.57 .0261 2 0.97 0.78 .0262 1 0.97 0.08 .0263 2 0.97 1.40 .0264 11 0.97 0.58 .0265 10 0.97 0.31 .0266 2 0.97 0.32 .0267 1 0.97 0.10 .0268 4 0.97 0.89 .0269 4 0.97 0.87 .0270 3 0.97 1.22 .0271 5 0.97 1.13 .0272 9 0.97 0.98 .0273 1 0.97 0.09 .0274 10 0.97 0.30 .0275 5 0.97 0.92 .0276 9 0.97 0.45 .0277 2 0.97 1.06 .0278 4 0.97 0.87 .0279 2 0.97 0.36 .0280 4 0.95 1.40 .0281 2 0.95 0.73 .0282 3 0.95 1.04 .0283 1 0.95 0.06 .0284 5 0.95 0.74 .0285 3 0.95 0.84 .0286 2 0.95 0.55 .0287 2 0.95 0.69 .0288 3 0.95 0.93 .0289 1 0.95 0.08 .0290 11 0.95 0.39 .0291 2 0.95 1.04 .0292 1 0.95 0.63 .0293 2 0.95 0.87 .0294 0 0.95 0.00 .0295 10 0.95 0.51 .0296 3 0.95 0.85 .0297 6 0.95 0.69 .0298 6 0.95 0.91 .0299 1 0.95 0.68 .0300 5 0.97 0.81 .0301 1 0.97 0.71 .0302 1 0.97 0.62 .0303 11 0.97 0.57 .0304 2 0.97 0.90 .0305 2 0.97 0.85 .0306 4 0.97 0.88 .0307 4 0.97 0.94 .0308 1 0.97 0.60 .0309 4 0.97 0.96 .0310 8 0.97 0.61 .0311 1 0.97 0.08 .0312 4 0.97 1.24 .0313 8 0.97 0.57 .0314 1 0.97 0.09 .0315 7 0.97 0.84 .0316 9 0.97 0.68 .0317 2 0.97 0.08 .0318 5 0.97 0.93 .0319 3 0.97 0.72 EXTRACT_IMAGE: sdR-b1-00034588.fit: masked 1040 pixels SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 0 median sigma(arc)= 0.86852190 sigma(sky)= -2692.5426 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 0 sigma^2(add)= 7249784.9 +/- 6353836.0 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 1 median sigma(arc)= 0.86873292 sigma(sky)= -1098.6239 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 1 sigma^2(add)= 1080614.9 +/- 2641298.3 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 2 median sigma(arc)= 0.88321978 sigma(sky)= 1.0138871 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 2 sigma^2(add)= 0.24788863 +/- 0.17521638 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 3 median sigma(arc)= 0.89038707 sigma(sky)= 1.0101597 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 3 sigma^2(add)= 0.19461861 +/- 0.53275990 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 4 median sigma(arc)= 1.0132913 sigma(sky)= 1.7583017 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 4 sigma^2(add)= 2.1135540 +/- 2.2313756 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 5 median sigma(arc)= 1.0702522 sigma(sky)= 3.8219003 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Line # 5 sigma^2(add)= 720359.58 +/- 1819897.5 SKYLINE_DISPERSION: sdR-b1-00034588.fit: Flexure sigma^2(add) = 0.11311262 +/- 0.28764349 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034588.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b1-00034588.fit: Heliocentric correction = 23.582838 km/s FITVACSET: sdR-b1-00034588.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034588.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034588.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034588.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b1-00034588.fit: Number of sky fibers = 25 SKYSUBTRACT: sdR-b1-00034588.fit: Airmass range = 1.25405 1.29827 SKYSUBTRACT: sdR-b1-00034588.fit: Discarding 0.00539062 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 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1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 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1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034588.fit: Median sky-residual chi2 = 5.20483 SKYSUBTRACT: sdR-b1-00034588.fit: Max sky-residual chi2 = 16.8256 REDMONSTER: sdR-b1-00034588.fit: WARNING: Bad sky residuals at 4673 to 4713 Ang; Peak chi= 3.87 REDMONSTER: sdR-b1-00034588.fit: WARNING: Bad sky residuals at 4764 to 4843 Ang; Peak chi= 4.00 REDMONSTER: sdR-b1-00034588.fit: WARNING: Bad sky residuals at 5026 to 5077 Ang; Peak chi= 4.10 EXTRACT_OBJECT: sdR-b1-00034588.fit: Calling skysubtract again; masked skyfibers 43 156 267 273 SKYSUBTRACT: sdR-b1-00034588.fit: Number of sky fibers = 21 SKYSUBTRACT: sdR-b1-00034588.fit: Airmass range = 1.25405 1.29827 SKYSUBTRACT: sdR-b1-00034588.fit: Discarding 0.00546410 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 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1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 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1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034588.fit: Median sky-residual chi2 = 2.95369 SKYSUBTRACT: sdR-b1-00034588.fit: Max sky-residual chi2 = 13.6351 QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 45 = -82.6925 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 79 = -16.0557 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 102 = 66.8765 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 124 = 68.5995 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 125 = 16.0814 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 127 = 13.0536 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 135 = -10.2711 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 204 = 16.5592 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 217 = 12.4597 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 246 = 19.4969 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 263 = -40.8267 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 284 = -75.5436 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 290 = -57.5483 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 312 = -25.0352 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 315 = -10.0112 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 318 = 12.2243 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Median sky-residual chi = 1.75778 QAPLOT_SKYSUB: sdR-b1-00034588.fit: Max sky-residual chi = 4.16249 at 4796.4811 Ang SKYSUBTRACT: sdR-b1-00034588.fit: Number of sky fibers = 21 SKYSUBTRACT: sdR-b1-00034588.fit: Airmass range = 1.25405 1.29827 SKYSUBTRACT: sdR-b1-00034588.fit: Discarding 0.00546410 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 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of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 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of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 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Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034588.fit: Median sky-residual chi2 = 3.00939 SKYSUBTRACT: sdR-b1-00034588.fit: Max sky-residual chi2 = 13.7846 QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 45 = -61.5634 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 71 = 14.7128 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 79 = -14.1680 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 96 = -13.7319 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 102 = 55.6979 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 124 = 49.2157 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 135 = -33.0593 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 219 = -15.3291 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 263 = -40.8438 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 284 = -60.4010 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 290 = -40.4317 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 312 = 11.1525 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 315 = 30.4892 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Warning: Median sky-sub flux in sky fiber 318 = 54.6792 electrons QAPLOT_SKYSUB: sdR-b1-00034588.fit: Median sky-residual chi = 1.76737 QAPLOT_SKYSUB: sdR-b1-00034588.fit: Max sky-residual chi = 4.01464 at 6103.1685 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b1-00034588.fit: Airmass range = 1.25 1.30 QAPLOT_SKYLINE: sdR-b1-00034588.fit: Flux dispersion for skyline 4359.5 = 20.33 % QAPLOT_SKYLINE: sdR-b1-00034588.fit: Airmass range = 1.25 1.30 QAPLOT_SKYLINE: sdR-b1-00034588.fit: Flux dispersion for skyline 5578.9 = 1.71 % SPADD_GUIDERINFO: sdR-b1-00034588.fit: Number of guider frames = 24 SPREDUCE: sdR-b1-00034588.fit: Elapsed time = 192. seconds SPREDUCE: sdR-b1-00034589.fit: Reading object sdR-b1-00034589.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034589.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034589.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034589.fit: Measured read-noise in DN for amp# 2 = 3.53064 SDSSPROC: sdR-b1-00034589.fit: Measured bias value in DN for amp# 2 = 1200.80 SDSSPROC: sdR-b1-00034589.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034589.fit: Amp #2 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: sdR-b1-00034589.fit: Measured read-noise in DN for amp# 3 = 2.90036 SDSSPROC: sdR-b1-00034589.fit: Measured bias value in DN for amp# 3 = 1027.07 SDSSPROC: sdR-b1-00034589.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034589.fit: Amp #3 Number of pix below bias-5*sigma= 1011. DN is 0 SDSSPROC: sdR-b1-00034589.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034589.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034589.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034589.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034589.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b1-00034589.fit: Science 25-th-percentile = 287.317 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b1-00034589.fit: Whopping fibers: 0 7 18 23 30 33 36 38 42 47 53 55 58 66 71 77 79 84 94 99 120 125 130 133 135 137 210 217 219 224 226 228 241 253 257 265 270 272 276 290 303 310 313 315 EXTRACT_OBJECT: sdR-b1-00034589.fit: Median counts in all fibers = 8698.56 EXTRACT_OBJECT: sdR-b1-00034589.fit: Number of bright fibers = 44 EXTRACT_OBJECT: sdR-b1-00034589.fit: Sky fiber median 807.654 EXTRACT_OBJECT: sdR-b1-00034589.fit: 5% and 95% count levels 413.981 25316.2 EXTRACT_OBJECT: sdR-b1-00034589.fit: WARNING: Disable whopping terms sdR-b1-00034589.fit MATCH_TRACE: sdR-b1-00034589.fit: Iteration: 0 Pixels Rejected: 20478 Finished? 0 MATCH_TRACE: sdR-b1-00034589.fit: Iteration: 1 Pixels Rejected: 331 Finished? 0 MATCH_TRACE: sdR-b1-00034589.fit: Iteration: 2 Pixels Rejected: 42 Finished? 0 MATCH_TRACE: sdR-b1-00034589.fit: Iteration: 3 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: sdR-b1-00034589.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-b1-00034589.fit: Warning: Large number of pixels rejected! 20857 EXTRACT_OBJECT: sdR-b1-00034589.fit: Shifting traces by match_trace 0.0471191 EXTRACT_OBJECT: sdR-b1-00034589.fit: Extracting frame sdR-b1-00034589.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034589.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 5.18 .0004 3 0.93 4.97 .0005 3 0.93 5.20 .0006 1 0.93 5.31 .0007 2 0.93 5.31 .0008 1 0.93 5.11 .0009 2 0.93 5.41 .0010 3 0.93 5.61 .0011 2 0.93 5.73 .0012 2 0.93 6.52 .0013 3 0.93 6.50 .0014 4 0.93 6.45 .0015 3 0.93 6.07 .0016 2 0.93 6.58 .0017 2 0.93 6.07 .0018 3 0.93 6.28 .0019 3 0.93 6.68 .0020 2 0.93 6.86 .0021 2 0.94 6.64 .0022 2 0.94 7.10 .0023 3 0.94 6.90 .0024 2 0.94 6.94 .0025 1 0.94 7.09 .0026 1 0.94 7.51 .0027 1 0.94 8.38 .0028 1 0.94 8.24 .0029 3 0.94 8.87 .0030 3 0.94 7.46 .0031 2 0.94 7.43 .0032 1 0.94 8.18 .0033 1 0.94 8.00 .0034 1 0.94 9.79 .0035 1 0.94 7.96 .0036 1 0.94 8.49 .0037 3 0.94 8.09 .0038 2 0.94 8.48 .0039 1 0.94 8.89 .0040 3 0.94 8.69 .0041 2 0.94 8.25 .0042 2 0.94 8.34 .0043 2 0.94 8.67 .0044 1 0.94 8.64 .0045 1 0.94 8.28 .0046 2 0.94 8.27 .0047 2 0.94 8.32 .0048 2 0.94 8.95 .0049 1 0.94 8.87 .0050 2 0.94 8.66 .0051 1 0.94 8.94 .0052 1 0.94 8.70 .0053 2 0.94 8.80 .0054 2 0.94 8.74 .0055 2 0.94 8.89 .0056 1 0.94 9.16 .0057 1 0.94 8.87 .0058 1 0.94 8.84 .0059 2 0.94 9.81 .0060 3 0.94 9.78 .0061 2 0.94 9.35 .0062 1 0.94 9.54 .0063 1 0.94 9.06 .0064 1 0.94 9.03 .0065 1 0.94 10.23 .0066 1 0.94 9.61 .0067 2 0.95 9.65 .0068 2 0.95 8.99 .0069 2 0.95 9.71 .0070 1 0.95 9.45 .0071 1 0.95 9.13 .0072 1 0.95 9.13 .0073 2 0.95 9.09 .0074 2 0.95 9.14 .0075 1 0.95 9.49 .0076 2 0.95 9.54 .0077 2 0.95 8.87 .0078 2 0.95 9.61 .0079 1 0.95 9.55 .0080 2 0.95 9.21 .0081 1 0.95 8.99 .0082 3 0.95 9.21 .0083 1 0.95 9.29 .0084 2 0.95 9.56 .0085 1 0.95 9.68 .0086 1 0.95 9.49 .0087 2 0.95 9.49 .0088 2 0.95 9.69 .0089 1 0.95 9.41 .0090 2 0.95 9.46 .0091 2 0.95 9.45 .0092 1 0.95 9.51 .0093 2 0.95 9.31 .0094 1 0.95 9.58 .0095 1 0.95 9.50 .0096 4 0.95 10.07 .0097 2 0.95 10.97 .0098 2 0.95 11.46 .0099 3 0.95 10.13 .0100 2 0.95 9.75 .0101 1 0.95 10.22 .0102 1 0.95 9.98 .0103 1 0.95 9.46 .0104 2 0.95 9.31 .0105 1 0.95 9.12 .0106 1 0.95 9.31 .0107 2 0.95 9.31 .0108 1 0.95 9.41 .0109 1 0.95 9.42 .0110 1 0.95 9.71 .0111 1 0.95 9.42 .0112 1 0.95 9.21 .0113 2 0.95 9.32 .0114 3 0.95 9.11 .0115 3 0.95 10.54 .0116 2 0.95 9.36 .0117 2 0.95 10.09 .0118 2 0.95 9.34 .0119 1 0.95 9.40 .0120 2 0.95 9.10 .0121 3 0.95 9.45 .0122 2 0.95 10.42 .0123 2 0.95 9.43 .0124 2 0.95 9.96 .0125 3 0.95 8.88 .0126 1 0.96 8.92 .0127 1 0.96 8.92 .0128 2 0.96 9.55 .0129 1 0.96 9.56 .0130 1 0.96 9.28 .0131 2 0.96 9.37 .0132 2 0.96 9.85 .0133 2 0.96 9.69 .0134 1 0.96 8.95 .0135 1 0.96 8.94 .0136 1 0.96 8.99 .0137 1 0.96 8.67 .0138 3 0.96 8.80 .0139 3 0.96 9.33 .0140 1 0.96 9.05 .0141 1 0.96 8.76 .0142 2 0.96 8.98 .0143 1 0.96 8.54 .0144 1 0.96 8.70 .0145 2 0.96 8.84 .0146 2 0.96 8.85 .0147 1 0.96 8.70 .0148 1 0.96 8.99 .0149 1 0.96 9.51 .0150 2 0.96 9.25 .0151 1 0.96 9.13 .0152 1 0.96 9.47 .0153 1 0.96 9.16 .0154 1 0.96 8.92 .0155 1 0.96 9.06 .0156 2 0.96 8.93 .0157 1 0.96 9.63 .0158 1 0.96 8.96 .0159 2 0.96 9.22 .0160 2 0.96 9.08 .0161 1 0.96 9.19 .0162 1 0.96 9.24 .0163 1 0.96 9.05 .0164 1 0.96 9.19 .0165 1 0.96 9.30 .0166 1 0.96 9.03 .0167 1 0.96 9.49 .0168 2 0.96 10.69 .0169 1 0.96 9.80 .0170 2 0.96 9.47 .0171 2 0.96 9.41 .0172 2 0.96 9.88 .0173 2 0.96 9.27 .0174 1 0.96 9.41 .0175 1 0.96 9.89 .0176 1 0.96 10.07 .0177 1 0.96 10.02 .0178 4 0.96 9.66 .0179 2 0.96 9.89 .0180 1 0.96 9.59 .0181 1 0.96 9.83 .0182 1 0.96 9.58 .0183 1 0.96 9.52 .0184 2 0.96 10.44 .0185 2 0.96 10.24 .0186 2 0.96 11.03 .0187 3 0.96 10.05 .0188 3 0.96 10.11 .0189 2 0.96 10.03 .0190 2 0.96 9.85 .0191 2 0.96 10.51 .0192 2 0.96 11.31 .0193 2 0.96 10.92 .0194 2 0.96 10.49 .0195 2 0.96 10.35 .0196 1 0.96 10.40 .0197 1 0.96 10.00 .0198 1 0.96 10.01 .0199 1 0.96 10.17 .0200 1 0.96 10.40 .0201 1 0.96 10.37 .0202 1 0.96 10.37 .0203 1 0.96 10.41 .0204 3 0.96 10.32 .0205 2 0.96 10.35 .0206 3 0.96 11.04 .0207 2 0.96 10.24 .0208 2 0.96 10.08 .0209 1 0.96 10.30 .0210 1 0.96 10.23 .0211 2 0.96 10.34 .0212 1 0.96 10.21 .0213 2 0.96 9.68 .0214 2 0.97 10.91 .0215 2 0.97 10.04 .0216 1 0.97 11.11 .0217 2 0.97 10.48 .0218 1 0.97 10.48 .0219 1 0.97 11.00 .0220 2 0.97 11.05 .0221 2 0.97 11.85 .0222 2 0.97 12.01 .0223 1 0.97 11.92 .0224 1 0.97 12.01 .0225 1 0.97 12.49 .0226 2 0.97 12.58 .0227 2 0.97 12.22 .0228 2 0.97 11.84 .0229 1 0.97 13.15 .0230 1 0.97 12.43 .0231 1 0.97 12.50 .0232 2 0.97 12.45 .0233 2 0.97 12.42 .0234 1 0.97 12.83 .0235 1 0.97 12.96 .0236 1 0.97 13.00 .0237 1 0.97 12.89 .0238 1 0.97 13.08 .0239 1 0.97 14.19 .0240 1 0.97 13.11 .0241 3 0.97 13.71 .0242 2 0.97 13.30 .0243 1 0.97 13.38 .0244 1 0.97 13.70 .0245 1 0.97 13.61 .0246 1 0.97 13.42 .0247 1 0.97 14.25 .0248 2 0.97 13.90 .0249 1 0.97 13.75 .0250 1 0.97 13.93 .0251 1 0.97 13.98 .0252 2 0.97 14.20 .0253 1 0.97 15.42 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1 0.99 7.38 .1798 2 0.99 6.73 .1799 2 0.99 7.50 .1800 2 0.99 7.35 .1801 2 0.99 7.62 .1802 1 0.99 7.96 .1803 1 0.99 7.04 .1804 4 0.99 6.85 .1805 2 0.99 7.34 .1806 3 0.99 6.96 .1807 1 0.99 6.99 .1808 1 0.99 7.19 .1809 2 0.99 7.46 .1810 2 0.99 7.20 .1811 1 0.99 7.17 .1812 1 0.99 7.00 .1813 1 0.99 7.03 .1814 2 0.99 7.13 .1815 1 0.99 6.95 .1816 2 0.99 6.95 .1817 2 0.99 6.96 .1818 2 0.99 7.14 .1819 1 0.99 7.58 .1820 1 0.98 7.01 .1821 1 0.98 7.01 .1822 3 0.98 7.18 .1823 3 0.98 7.08 .1824 1 0.98 6.95 .1825 1 0.98 7.33 .1826 3 0.98 7.86 .1827 3 0.98 6.88 .1828 2 0.98 7.33 .1829 1 0.98 7.26 .1830 1 0.98 6.84 .1831 3 0.98 6.92 .1832 1 0.98 6.83 .1833 1 0.98 6.99 .1834 1 0.98 7.19 .1835 2 0.98 7.13 .1836 2 0.98 7.54 .1837 2 0.98 6.89 .1838 3 0.98 7.36 .1839 3 0.98 7.19 .1840 3 0.98 6.97 .1841 1 0.98 6.71 .1842 2 0.98 7.56 .1843 1 0.98 6.58 .1844 4 0.98 6.56 .1845 1 0.98 6.49 .1846 2 0.98 6.68 .1847 2 0.98 6.22 .1848 2 0.98 6.52 .1849 2 0.98 6.60 .1850 3 0.98 5.81 .1851 1 0.98 6.44 .1852 1 0.98 5.90 .1853 2 0.98 5.76 .1854 2 0.98 5.96 .1855 2 0.98 6.29 .1856 3 0.98 5.60 .1857 3 0.98 5.99 .1858 1 0.98 6.18 .1859 1 0.98 5.75 .1860 1 0.98 5.74 .1861 1 0.98 5.64 .1862 2 0.98 5.99 .1863 1 0.98 5.74 .1864 1 0.98 5.53 .1865 1 0.98 5.31 .1866 1 0.98 5.53 .1867 1 0.98 5.38 .1868 1 0.98 5.48 .1869 1 0.98 5.35 .1870 2 0.98 5.30 .1871 1 0.98 5.29 .1872 1 0.98 5.07 .1873 1 0.98 5.62 .1874 1 0.98 5.16 .1875 3 0.98 4.89 .1876 1 0.98 4.69 .1877 1 0.98 4.64 .1878 1 0.98 4.33 .1879 1 0.98 4.36 .1880 1 0.98 4.29 .1881 3 0.98 4.20 .1882 2 0.98 4.36 .1883 1 0.98 4.13 .1884 2 0.98 3.88 .1885 1 0.98 3.86 .1886 2 0.98 3.85 .1887 1 0.98 3.83 .1888 1 0.98 3.93 .1889 1 0.98 3.92 .1890 2 0.98 4.19 .1891 1 0.98 4.04 .1892 1 0.98 4.63 .1893 3 0.98 4.37 .1894 3 0.98 4.84 .1895 4 0.98 4.60 .1896 3 0.98 4.31 .1897 1 0.98 4.65 .1898 3 0.98 4.80 .1899 2 0.98 4.88 .1900 3 0.98 5.58 .1901 3 0.98 5.60 .1902 3 0.98 5.61 .1903 2 0.98 5.02 .1904 2 0.98 5.23 .1905 2 0.98 4.90 .1906 1 0.98 5.04 .1907 3 0.98 5.36 .1908 2 0.98 5.52 .1909 2 0.98 5.42 .1910 3 0.98 5.21 .1911 3 0.98 5.01 .1912 4 0.98 4.84 .1913 3 0.98 5.08 .1914 2 0.98 4.62 .1915 2 0.98 4.49 .1916 2 0.98 4.55 .1917 3 0.98 4.56 .1918 2 0.98 4.42 .1919 2 0.98 4.26 .1920 1 0.98 4.46 .1921 1 0.98 4.49 .1922 2 0.98 4.58 .1923 3 0.98 4.73 .1924 1 0.98 4.27 .1925 1 0.98 4.69 .1926 2 0.98 4.49 .1927 1 0.98 4.58 .1928 1 0.98 4.46 .1929 1 0.98 4.65 .1930 1 0.98 4.79 .1931 1 0.98 4.65 .1932 3 0.98 4.77 .1933 3 0.98 5.09 .1934 2 0.98 5.31 .1935 2 0.98 5.56 .1936 4 0.98 4.95 .1937 1 0.98 5.08 .1938 1 0.98 5.06 .1939 1 0.98 4.81 .1940 1 0.98 5.40 .1941 4 0.98 4.96 .1942 3 0.98 5.10 .1943 1 0.98 4.93 .1944 1 0.98 5.09 .1945 1 0.98 5.04 .1946 1 0.98 5.19 .1947 2 0.98 4.77 .1948 1 0.98 4.71 .1949 2 0.98 4.96 .1950 3 0.98 4.76 .1951 1 0.98 4.68 .1952 1 0.98 4.92 .1953 3 0.98 4.42 .1954 1 0.98 4.78 .1955 2 0.98 4.26 .1956 2 0.98 4.33 .1957 3 0.98 4.12 .1958 2 0.98 3.96 .1959 1 0.98 4.00 .1960 2 0.98 3.81 .1961 1 0.98 3.90 .1962 2 0.98 3.88 .1963 2 0.98 4.13 .1964 3 0.98 3.71 .1965 2 0.98 3.83 .1966 2 0.98 3.89 .1967 4 0.98 3.70 .1968 4 0.98 3.89 .1969 2 0.98 3.85 .1970 2 0.98 3.91 .1971 3 0.98 4.00 .1972 4 0.98 4.26 .1973 2 0.98 4.19 .1974 1 0.98 3.76 .1975 2 0.98 3.97 .1976 2 0.98 3.99 .1977 2 0.98 3.98 .1978 2 0.98 4.59 .1979 2 0.98 4.65 .1980 2 0.98 4.49 .1981 3 0.98 4.27 .1982 3 0.98 4.64 .1983 1 0.98 4.66 .1984 2 0.98 4.38 .1985 2 0.98 4.76 .1986 3 0.98 4.66 .1987 2 0.98 4.53 .1988 2 0.98 5.25 .1989 1 0.98 4.77 .1990 2 0.98 4.58 .1991 1 0.98 4.41 .1992 2 0.98 4.69 .1993 3 0.98 4.87 .1994 2 0.98 4.63 .1995 2 0.98 4.53 .1996 1 0.98 4.39 .1997 1 0.98 4.65 .1998 2 0.98 4.76 .1999 2 0.98 4.40 .2000 2 0.98 4.71 .2001 3 0.98 4.28 .2002 1 0.98 4.39 .2003 2 0.98 4.43 .2004 3 0.98 4.76 .2005 3 0.98 4.51 .2006 5 0.98 4.12 .2007 2 0.98 4.55 .2008 1 0.98 3.71 .2009 1 0.98 3.93 .2010 1 0.98 3.84 .2011 2 0.98 3.79 .2012 2 0.98 3.56 .2013 2 0.98 3.47 .2014 2 0.98 3.80 .2015 3 0.98 3.51 .2016 3 0.98 3.23 .2017 1 0.98 3.27 .2018 2 0.98 3.28 .2019 2 0.98 3.25 .2020 2 0.98 3.31 .2021 2 0.98 3.21 .2022 2 0.98 3.02 .2023 2 0.98 3.15 .2024 1 0.98 3.08 .2025 1 0.98 3.11 .2026 1 0.98 3.13 .2027 1 0.98 3.21 .2028 3 0.98 3.18 .2029 2 0.98 3.26 .2030 2 0.98 3.41 .2031 4 0.98 3.43 .2032 3 0.98 4.03 .2033 3 0.98 3.63 .2034 1 0.98 3.62 .2035 1 0.98 3.57 .2036 3 0.98 3.74 .2037 3 0.98 3.75 .2038 2 0.97 3.75 .2039 2 0.97 3.62 .2040 3 0.97 3.66 .2041 2 0.97 3.67 .2042 1 0.97 3.67 .2043 1 0.97 3.64 .2044 1 0.97 3.72 .2045 1 0.97 3.55 .2046 1 0.97 3.34 .2047 1 0.97 3.47 EXTRACT_IMAGE: sdR-b1-00034589.fit: masked 1337 pixels EXTRACT_OBJECT: sdR-b1-00034589.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034589.fit: WARNING: Scattered light median = 118.433 electrons QAPLOT_SCATLIGHT: sdR-b1-00034589.fit: WARNING: Scattered light max = 367.902 electrons EXTRACT_OBJECT: sdR-b1-00034589.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034589.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034589.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034589.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 64 0.03 0.12 Step 10 of 2080 0.61 64 0.03 0.12 Step 14 of 2080 0.61 64 0.03 0.12 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.03 0.12 Step 26 of 2080 0.61 64 0.03 0.12 Step 30 of 2080 0.61 64 0.03 0.14 Step 34 of 2080 0.61 64 0.03 0.11 Step 38 of 2080 0.61 64 0.03 0.11 Step 42 of 2080 0.61 64 0.03 0.12 Step 46 of 2080 0.61 64 0.03 0.12 Step 50 of 2080 0.61 64 0.03 0.12 Step 54 of 2080 0.61 64 0.03 0.13 Step 58 of 2080 0.61 64 0.02 0.11 Step 62 of 2080 0.61 64 0.04 0.12 Step 66 of 2080 0.61 64 0.03 0.11 Step 70 of 2080 0.61 64 0.03 0.13 Step 74 of 2080 0.61 64 0.03 0.11 Step 78 of 2080 0.61 64 0.03 0.11 Step 82 of 2080 0.61 64 0.03 0.11 Step 86 of 2080 0.61 64 0.03 0.12 Step 90 of 2080 0.60 64 0.03 0.13 Step 94 of 2080 0.60 64 0.03 0.13 Step 98 of 2080 0.60 64 0.03 0.11 Step 102 of 2080 0.60 64 0.03 0.12 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.03 0.11 Step 118 of 2080 0.60 64 0.03 0.13 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.03 0.12 Step 130 of 2080 0.60 64 0.03 0.12 Step 134 of 2080 0.60 64 0.03 0.12 Step 138 of 2080 0.60 64 0.04 0.13 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.03 0.11 Step 150 of 2080 0.60 64 0.04 0.13 Step 154 of 2080 0.60 64 0.03 0.14 Step 158 of 2080 0.60 64 0.03 0.14 Step 162 of 2080 0.60 64 0.03 0.11 Step 166 of 2080 0.60 64 0.02 0.13 Step 170 of 2080 0.59 64 0.03 0.13 Step 174 of 2080 0.59 64 0.02 0.11 Step 178 of 2080 0.59 64 0.03 0.13 Step 182 of 2080 0.59 64 0.03 0.12 Step 186 of 2080 0.59 64 0.02 0.13 Step 190 of 2080 0.59 64 0.03 0.13 Step 194 of 2080 0.59 64 0.03 0.11 Step 198 of 2080 0.59 64 0.04 0.15 Step 202 of 2080 0.59 64 0.04 0.14 Step 206 of 2080 0.59 64 0.04 0.14 Step 210 of 2080 0.59 64 0.03 0.15 Step 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of 2080 0.56 64 0.03 0.12 Step 446 of 2080 0.56 64 0.03 0.12 Step 450 of 2080 0.56 64 0.03 0.13 Step 454 of 2080 0.56 64 0.03 0.12 Step 458 of 2080 0.56 64 0.03 0.11 Step 462 of 2080 0.56 64 0.03 0.12 Step 466 of 2080 0.56 64 0.03 0.14 Step 470 of 2080 0.56 64 0.03 0.13 Step 474 of 2080 0.56 64 0.03 0.12 Step 478 of 2080 0.56 64 0.03 0.12 Step 482 of 2080 0.56 64 0.03 0.11 Step 486 of 2080 0.56 64 0.03 0.12 Step 490 of 2080 0.56 64 0.03 0.12 Step 494 of 2080 0.55 64 0.03 0.13 Step 498 of 2080 0.55 64 0.03 0.12 Step 502 of 2080 0.55 64 0.03 0.13 Step 506 of 2080 0.55 64 0.04 0.13 Step 510 of 2080 0.55 64 0.03 0.12 Step 514 of 2080 0.55 64 0.04 0.12 Step 518 of 2080 0.55 64 0.03 0.12 Step 522 of 2080 0.55 64 0.02 0.11 Step 526 of 2080 0.55 64 0.03 0.12 Step 530 of 2080 0.55 64 0.03 0.11 Step 534 of 2080 0.55 64 0.02 0.12 Step 538 of 2080 0.55 64 0.03 0.13 Step 542 of 2080 0.55 64 0.03 0.13 Step 546 of 2080 0.55 64 0.03 0.12 Step 550 of 2080 0.55 64 0.03 0.11 Step 554 of 2080 0.55 64 0.02 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2080 0.53 64 0.03 0.11 Step 674 of 2080 0.53 64 0.03 0.12 Step 678 of 2080 0.53 64 0.03 0.17 Step 682 of 2080 0.53 64 0.03 0.14 Step 686 of 2080 0.53 64 0.03 0.15 Step 690 of 2080 0.53 64 0.03 0.14 Step 694 of 2080 0.53 64 0.03 0.13 Step 698 of 2080 0.53 64 0.04 0.11 Step 702 of 2080 0.53 64 0.04 0.12 Step 706 of 2080 0.53 64 0.03 0.13 Step 710 of 2080 0.53 64 0.03 0.11 Step 714 of 2080 0.53 64 0.03 0.14 Step 718 of 2080 0.53 64 0.04 0.14 Step 722 of 2080 0.53 64 0.04 0.12 Step 726 of 2080 0.53 64 0.04 0.14 Step 730 of 2080 0.53 64 0.04 0.13 Step 734 of 2080 0.53 64 0.04 0.12 Step 738 of 2080 0.53 64 0.04 0.13 Step 742 of 2080 0.52 64 0.04 0.14 Step 746 of 2080 0.52 64 0.03 0.12 Step 750 of 2080 0.52 64 0.03 0.13 Step 754 of 2080 0.52 64 0.04 0.13 Step 758 of 2080 0.52 64 0.03 0.12 Step 762 of 2080 0.52 64 0.03 0.11 Step 766 of 2080 0.52 64 0.03 0.12 Step 770 of 2080 0.52 64 0.03 0.12 Step 774 of 2080 0.52 64 0.04 0.13 Step 778 of 2080 0.52 64 0.03 0.13 Step 782 of 2080 0.52 64 0.04 0.13 Step 786 of 2080 0.52 64 0.04 0.13 Step 790 of 2080 0.52 64 0.03 0.12 Step 794 of 2080 0.52 64 0.03 0.12 Step 798 of 2080 0.52 64 0.03 0.12 Step 802 of 2080 0.52 64 0.03 0.14 Step 806 of 2080 0.52 64 0.05 0.14 Step 810 of 2080 0.52 64 0.03 0.13 Step 814 of 2080 0.52 64 0.03 0.12 Step 818 of 2080 0.52 64 0.03 0.12 Step 822 of 2080 0.52 64 0.03 0.12 Step 826 of 2080 0.51 64 0.03 0.13 Step 830 of 2080 0.51 64 0.03 0.13 Step 834 of 2080 0.51 64 0.03 0.13 Step 838 of 2080 0.51 64 0.03 0.11 Step 842 of 2080 0.51 64 0.04 0.12 Step 846 of 2080 0.51 64 0.03 0.12 Step 850 of 2080 0.51 64 0.03 0.11 Step 854 of 2080 0.51 64 0.03 0.12 Step 858 of 2080 0.51 64 0.03 0.13 Step 862 of 2080 0.51 64 0.03 0.12 Step 866 of 2080 0.51 64 0.03 0.11 Step 870 of 2080 0.51 64 0.03 0.12 Step 874 of 2080 0.51 64 0.03 0.12 Step 878 of 2080 0.51 64 0.03 0.13 Step 882 of 2080 0.51 64 0.03 0.12 Step 886 of 2080 0.51 64 0.03 0.14 Step 890 of 2080 0.51 64 0.04 0.12 Step 894 of 2080 0.51 64 0.03 0.11 Step 898 of 2080 0.51 64 0.03 0.14 Step 902 of 2080 0.51 64 0.03 0.12 Step 906 of 2080 0.51 64 0.04 0.14 Step 910 of 2080 0.50 64 0.02 0.11 Step 914 of 2080 0.50 64 0.02 0.11 Step 918 of 2080 0.50 64 0.02 0.12 Step 922 of 2080 0.50 64 0.03 0.12 Step 926 of 2080 0.50 64 0.03 0.14 Step 930 of 2080 0.50 64 0.03 0.13 Step 934 of 2080 0.50 64 0.03 0.12 Step 938 of 2080 0.50 64 0.03 0.12 Step 942 of 2080 0.50 64 0.03 0.11 Step 946 of 2080 0.50 64 0.03 0.12 Step 950 of 2080 0.50 64 0.03 0.12 Step 954 of 2080 0.50 64 0.03 0.14 Step 958 of 2080 0.50 64 0.04 0.13 Step 962 of 2080 0.50 64 0.03 0.13 Step 966 of 2080 0.50 64 0.03 0.12 Step 970 of 2080 0.50 64 0.03 0.12 Step 974 of 2080 0.50 64 0.03 0.12 Step 978 of 2080 0.50 64 0.03 0.11 Step 982 of 2080 0.50 64 0.03 0.12 Step 986 of 2080 0.50 64 0.03 0.12 Step 990 of 2080 0.50 64 0.03 0.11 Step 994 of 2080 0.49 64 0.03 0.12 Step 998 of 2080 0.49 64 0.03 0.12 Step 1002 of 2080 0.49 64 0.03 0.11 Step 1006 of 2080 0.49 64 0.03 0.13 Step 1010 of 2080 0.49 64 0.04 0.13 Step 1014 of 2080 0.49 64 0.04 0.12 Step 1018 of 2080 0.49 64 0.03 0.12 Step 1022 of 2080 0.49 64 0.03 0.13 Step 1026 of 2080 0.49 64 0.03 0.13 Step 1030 of 2080 0.49 64 0.03 0.12 Step 1034 of 2080 0.49 64 0.03 0.12 Step 1038 of 2080 0.49 64 0.02 0.11 Step 1042 of 2080 0.49 64 0.03 0.12 Step 1046 of 2080 0.49 64 0.03 0.13 Step 1050 of 2080 0.49 64 0.05 0.14 Step 1054 of 2080 0.49 64 0.04 0.12 Step 1058 of 2080 0.49 64 0.03 0.12 Step 1062 of 2080 0.49 64 0.03 0.11 Step 1066 of 2080 0.49 64 0.03 0.12 Step 1070 of 2080 0.49 64 0.04 0.15 Step 1074 of 2080 0.49 64 0.04 0.13 Step 1078 of 2080 0.49 64 0.04 0.12 Step 1082 of 2080 0.48 64 0.03 0.11 Step 1086 of 2080 0.48 64 0.03 0.12 Step 1090 of 2080 0.48 64 0.04 0.13 Step 1094 of 2080 0.48 64 0.03 0.12 Step 1098 of 2080 0.48 64 0.03 0.12 Step 1102 of 2080 0.48 64 0.03 0.14 Step 1106 of 2080 0.48 64 0.03 0.13 Step 1110 of 2080 0.48 64 0.04 0.14 Step 1114 of 2080 0.48 64 0.04 0.13 Step 1118 of 2080 0.48 64 0.03 0.12 Step 1122 of 2080 0.48 64 0.03 0.12 Step 1126 of 2080 0.48 64 0.04 0.12 Step 1130 of 2080 0.48 64 0.03 0.12 Step 1134 of 2080 0.48 64 0.03 0.12 Step 1138 of 2080 0.48 64 0.04 0.13 Step 1142 of 2080 0.48 64 0.03 0.12 Step 1146 of 2080 0.48 64 0.03 0.12 Step 1150 of 2080 0.48 64 0.03 0.11 Step 1154 of 2080 0.48 64 0.03 0.13 Step 1158 of 2080 0.48 64 0.03 0.11 Step 1162 of 2080 0.48 64 0.03 0.13 Step 1166 of 2080 0.47 64 0.03 0.14 Step 1170 of 2080 0.47 64 0.03 0.12 Step 1174 of 2080 0.47 64 0.03 0.12 Step 1178 of 2080 0.47 64 0.03 0.13 Step 1182 of 2080 0.47 64 0.03 0.14 Step 1186 of 2080 0.47 64 0.03 0.12 Step 1190 of 2080 0.47 64 0.03 0.13 Step 1194 of 2080 0.47 64 0.03 0.12 Step 1198 of 2080 0.47 64 0.03 0.12 Step 1202 of 2080 0.47 64 0.03 0.13 Step 1206 of 2080 0.47 64 0.04 0.13 Step 1210 of 2080 0.47 64 0.04 0.13 Step 1214 of 2080 0.47 64 0.04 0.13 Step 1218 of 2080 0.47 64 0.04 0.13 Step 1222 of 2080 0.47 64 0.04 0.12 Step 1226 of 2080 0.47 64 0.03 0.14 Step 1230 of 2080 0.47 64 0.04 0.14 Step 1234 of 2080 0.47 64 0.04 0.14 Step 1238 of 2080 0.47 64 0.03 0.14 Step 1242 of 2080 0.47 64 0.03 0.12 Step 1246 of 2080 0.47 64 0.03 0.13 Step 1250 of 2080 0.47 64 0.03 0.13 Step 1254 of 2080 0.46 64 0.04 0.14 Step 1258 of 2080 0.46 64 0.04 0.12 Step 1262 of 2080 0.46 64 0.03 0.13 Step 1266 of 2080 0.46 64 0.03 0.13 Step 1270 of 2080 0.46 64 0.03 0.12 Step 1274 of 2080 0.46 64 0.03 0.13 Step 1278 of 2080 0.46 64 0.04 0.13 Step 1282 of 2080 0.46 64 0.03 0.12 Step 1286 of 2080 0.46 64 0.03 0.13 Step 1290 of 2080 0.46 64 0.04 0.15 Step 1294 of 2080 0.46 64 0.03 0.12 Step 1298 of 2080 0.46 64 0.03 0.12 Step 1302 of 2080 0.46 64 0.04 0.12 Step 1306 of 2080 0.46 64 0.03 0.12 Step 1310 of 2080 0.46 64 0.04 0.13 Step 1314 of 2080 0.46 64 0.04 0.15 Step 1318 of 2080 0.46 64 0.05 0.16 Step 1322 of 2080 0.46 64 0.04 0.13 Step 1326 of 2080 0.46 64 0.04 0.13 Step 1330 of 2080 0.46 64 0.04 0.14 Step 1334 of 2080 0.46 64 0.04 0.12 Step 1338 of 2080 0.46 64 0.03 0.11 Step 1342 of 2080 0.45 64 0.03 0.12 Step 1346 of 2080 0.45 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.03 0.14 Step 1354 of 2080 0.45 64 0.03 0.15 Step 1358 of 2080 0.45 64 0.03 0.13 Step 1362 of 2080 0.45 64 0.03 0.12 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.03 0.11 Step 1374 of 2080 0.45 64 0.03 0.11 Step 1378 of 2080 0.45 64 0.03 0.12 Step 1382 of 2080 0.45 64 0.03 0.12 Step 1386 of 2080 0.45 64 0.04 0.13 Step 1390 of 2080 0.45 64 0.04 0.13 Step 1394 of 2080 0.45 64 0.03 0.11 Step 1398 of 2080 0.45 64 0.03 0.13 Step 1402 of 2080 0.45 64 0.03 0.12 Step 1406 of 2080 0.45 64 0.03 0.13 Step 1410 of 2080 0.45 64 0.03 0.13 Step 1414 of 2080 0.45 64 0.03 0.11 Step 1418 of 2080 0.45 64 0.03 0.11 Step 1422 of 2080 0.45 64 0.03 0.11 Step 1426 of 2080 0.45 64 0.04 0.13 Step 1430 of 2080 0.45 64 0.03 0.13 Step 1434 of 2080 0.44 64 0.03 0.11 Step 1438 of 2080 0.44 64 0.03 0.13 Step 1442 of 2080 0.44 64 0.03 0.12 Step 1446 of 2080 0.44 64 0.03 0.13 Step 1450 of 2080 0.44 64 0.03 0.11 Step 1454 of 2080 0.44 64 0.04 0.15 Step 1458 of 2080 0.44 64 0.03 0.13 Step 1462 of 2080 0.44 64 0.03 0.12 Step 1466 of 2080 0.44 64 0.03 0.13 Step 1470 of 2080 0.44 64 0.03 0.13 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.03 0.11 Step 1482 of 2080 0.44 64 0.03 0.12 Step 1486 of 2080 0.44 64 0.03 0.11 Step 1490 of 2080 0.44 64 0.03 0.13 Step 1494 of 2080 0.44 64 0.04 0.14 Step 1498 of 2080 0.44 64 0.03 0.13 Step 1502 of 2080 0.44 64 0.05 0.14 Step 1506 of 2080 0.44 64 0.03 0.13 Step 1510 of 2080 0.44 64 0.04 0.12 Step 1514 of 2080 0.44 64 0.05 0.13 Step 1518 of 2080 0.44 64 0.04 0.12 Step 1522 of 2080 0.44 64 0.03 0.12 Step 1526 of 2080 0.43 64 0.03 0.11 Step 1530 of 2080 0.43 64 0.04 0.13 Step 1534 of 2080 0.43 64 0.04 0.12 Step 1538 of 2080 0.43 64 0.04 0.12 Step 1542 of 2080 0.43 64 0.03 0.13 Step 1546 of 2080 0.43 64 0.04 0.13 Step 1550 of 2080 0.43 64 0.04 0.13 Step 1554 of 2080 0.43 64 0.04 0.12 Step 1558 of 2080 0.43 64 0.04 0.13 Step 1562 of 2080 0.43 64 0.04 0.13 Step 1566 of 2080 0.43 64 0.03 0.13 Step 1570 of 2080 0.43 64 0.04 0.12 Step 1574 of 2080 0.43 64 0.04 0.13 Step 1578 of 2080 0.43 64 0.03 0.12 Step 1582 of 2080 0.43 64 0.03 0.12 Step 1586 of 2080 0.43 64 0.03 0.12 Step 1590 of 2080 0.43 64 0.03 0.14 Step 1594 of 2080 0.43 64 0.03 0.13 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.11 Step 1610 of 2080 0.43 64 0.03 0.11 Step 1614 of 2080 0.43 64 0.02 0.12 Step 1618 of 2080 0.42 64 0.03 0.11 Step 1622 of 2080 0.42 64 0.03 0.12 Step 1626 of 2080 0.42 64 0.03 0.11 Step 1630 of 2080 0.42 64 0.03 0.13 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.03 0.12 Step 1642 of 2080 0.42 64 0.03 0.12 Step 1646 of 2080 0.42 64 0.04 0.13 Step 1650 of 2080 0.42 64 0.04 0.12 Step 1654 of 2080 0.42 64 0.04 0.13 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.11 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.04 0.12 Step 1674 of 2080 0.42 64 0.04 0.14 Step 1678 of 2080 0.42 64 0.04 0.13 Step 1682 of 2080 0.42 64 0.03 0.12 Step 1686 of 2080 0.42 64 0.03 0.12 Step 1690 of 2080 0.42 64 0.03 0.12 Step 1694 of 2080 0.42 64 0.04 0.13 Step 1698 of 2080 0.42 64 0.03 0.12 Step 1702 of 2080 0.42 64 0.03 0.12 Step 1706 of 2080 0.42 64 0.03 0.11 Step 1710 of 2080 0.41 64 0.03 0.13 Step 1714 of 2080 0.41 64 0.03 0.11 Step 1718 of 2080 0.41 64 0.04 0.13 Step 1722 of 2080 0.41 64 0.02 0.13 Step 1726 of 2080 0.41 64 0.02 0.11 Step 1730 of 2080 0.41 64 0.02 0.11 Step 1734 of 2080 0.41 64 0.02 0.11 Step 1738 of 2080 0.41 64 0.02 0.11 Step 1742 of 2080 0.41 64 0.02 0.13 Step 1746 of 2080 0.41 64 0.03 0.11 Step 1750 of 2080 0.41 64 0.03 0.11 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.13 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.12 Step 1770 of 2080 0.41 64 0.03 0.12 Step 1774 of 2080 0.41 64 0.02 0.11 Step 1778 of 2080 0.41 64 0.03 0.13 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.13 Step 1790 of 2080 0.41 64 0.03 0.13 Step 1794 of 2080 0.41 64 0.04 0.13 Step 1798 of 2080 0.41 64 0.04 0.12 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.40 64 0.03 0.12 Step 1810 of 2080 0.40 64 0.04 0.14 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.11 Step 1826 of 2080 0.40 64 0.03 0.13 Step 1830 of 2080 0.40 64 0.04 0.14 Step 1834 of 2080 0.40 64 0.04 0.14 Step 1838 of 2080 0.40 64 0.04 0.13 Step 1842 of 2080 0.40 64 0.04 0.13 Step 1846 of 2080 0.40 64 0.04 0.13 Step 1850 of 2080 0.40 64 0.03 0.14 Step 1854 of 2080 0.40 64 0.03 0.12 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.04 0.14 Step 1866 of 2080 0.40 64 0.03 0.13 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.03 0.11 Step 1878 of 2080 0.40 64 0.03 0.13 Step 1882 of 2080 0.40 64 0.03 0.11 Step 1886 of 2080 0.40 64 0.04 0.13 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.13 Step 1898 of 2080 0.40 64 0.05 0.12 Step 1902 of 2080 0.40 64 0.03 0.14 Step 1906 of 2080 0.39 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.05 0.15 Step 1926 of 2080 0.39 64 0.03 0.13 Step 1930 of 2080 0.39 64 0.03 0.11 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.03 0.11 Step 1942 of 2080 0.39 64 0.03 0.12 Step 1946 of 2080 0.39 64 0.04 0.12 Step 1950 of 2080 0.39 64 0.03 0.13 Step 1954 of 2080 0.39 64 0.03 0.11 Step 1958 of 2080 0.39 64 0.03 0.11 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.03 0.14 Step 1970 of 2080 0.39 64 0.04 0.14 Step 1974 of 2080 0.39 64 0.04 0.13 Step 1978 of 2080 0.39 64 0.04 0.14 Step 1982 of 2080 0.39 64 0.03 0.13 Step 1986 of 2080 0.39 64 0.03 0.13 Step 1990 of 2080 0.39 64 0.02 0.12 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.11 Step 2006 of 2080 0.38 64 0.02 0.11 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.11 Step 2018 of 2080 0.38 64 0.03 0.13 Step 2022 of 2080 0.38 64 0.03 0.12 Step 2026 of 2080 0.38 64 0.02 0.12 Step 2030 of 2080 0.38 64 0.02 0.12 Step 2034 of 2080 0.38 64 0.02 0.13 Step 2038 of 2080 0.38 64 0.05 0.13 Step 2042 of 2080 0.38 64 0.04 0.13 Step 2046 of 2080 0.38 32 0.02 0.06 Step 2050 of 2080 0.38 32 0.02 0.06 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.02 0.07 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.02 0.07 Step 2074 of 2080 0.38 32 0.02 0.07 Step 2078 of 2080 0.38 32 0.02 0.06 EXTRACT_OBJECT: sdR-b1-00034589.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 3.07 .0004 3 0.93 2.67 .0005 3 0.93 2.87 .0006 1 0.93 2.82 .0007 3 0.93 2.61 .0008 1 0.93 2.68 .0009 2 0.93 2.99 .0010 3 0.93 2.83 .0011 2 0.93 3.12 .0012 2 0.93 3.62 .0013 4 0.93 3.35 .0014 3 0.93 3.85 .0015 3 0.93 3.43 .0016 2 0.93 3.83 .0017 2 0.93 3.44 .0018 3 0.93 3.56 .0019 3 0.93 3.88 .0020 2 0.93 4.17 .0021 2 0.94 4.16 .0022 2 0.94 4.60 .0023 3 0.94 4.34 .0024 2 0.94 4.47 .0025 1 0.94 4.61 .0026 2 0.94 5.09 .0027 1 0.94 6.30 .0028 2 0.94 5.81 .0029 3 0.94 6.53 .0030 3 0.94 5.72 .0031 2 0.94 5.90 .0032 1 0.94 6.72 .0033 1 0.94 6.48 .0034 3 0.94 7.23 .0035 1 0.94 7.04 .0036 1 0.94 7.16 .0037 3 0.94 7.18 .0038 2 0.94 7.30 .0039 1 0.94 7.40 .0040 2 0.94 7.31 .0041 2 0.94 6.66 .0042 2 0.94 6.45 .0043 3 0.94 6.16 .0044 1 0.94 5.99 .0045 1 0.94 5.65 .0046 2 0.94 5.54 .0047 2 0.94 5.35 .0048 3 0.94 5.28 .0049 2 0.94 5.14 .0050 2 0.94 5.19 .0051 1 0.94 5.20 .0052 1 0.94 5.12 .0053 2 0.94 5.08 .0054 2 0.94 5.20 .0055 2 0.94 5.44 .0056 2 0.94 5.19 .0057 1 0.94 5.22 .0058 1 0.94 5.22 .0059 2 0.94 6.28 .0060 4 0.94 5.46 .0061 2 0.94 5.65 .0062 1 0.94 5.74 .0063 1 0.94 5.22 .0064 1 0.94 5.25 .0065 2 0.94 5.93 .0066 1 0.94 5.81 .0067 3 0.95 5.27 .0068 2 0.95 5.03 .0069 2 0.95 5.28 .0070 1 0.95 5.50 .0071 1 0.95 5.20 .0072 1 0.95 5.30 .0073 2 0.95 5.10 .0074 2 0.95 5.28 .0075 2 0.95 5.29 .0076 2 0.95 5.72 .0077 2 0.95 5.07 .0078 2 0.95 5.17 .0079 1 0.95 5.63 .0080 2 0.95 5.17 .0081 1 0.95 5.14 .0082 3 0.95 5.25 .0083 1 0.95 5.22 .0084 3 0.95 5.13 .0085 1 0.95 5.64 .0086 2 0.95 5.04 .0087 2 0.95 5.36 .0088 2 0.95 5.88 .0089 1 0.95 5.39 .0090 2 0.95 5.45 .0091 2 0.95 5.45 .0092 1 0.95 5.20 .0093 2 0.95 5.11 .0094 1 0.95 5.52 .0095 1 0.95 5.49 .0096 4 0.95 5.56 .0097 2 0.95 6.73 .0098 4 0.95 6.53 .0099 4 0.95 5.46 .0100 2 0.95 5.58 .0101 1 0.95 6.19 .0102 2 0.95 5.40 .0103 1 0.95 5.39 .0104 2 0.95 5.22 .0105 1 0.95 5.17 .0106 1 0.95 5.18 .0107 2 0.95 5.20 .0108 1 0.95 5.30 .0109 1 0.95 5.22 .0110 1 0.95 5.42 .0111 1 0.95 5.25 .0112 1 0.95 5.12 .0113 2 0.95 5.09 .0114 3 0.95 5.10 .0115 5 0.95 5.26 .0116 2 0.95 5.49 .0117 2 0.95 6.04 .0118 2 0.95 5.20 .0119 1 0.95 5.33 .0120 2 0.95 5.05 .0121 2 0.95 5.50 .0122 3 0.95 5.44 .0123 2 0.95 5.00 .0124 2 0.95 5.18 .0125 2 0.95 4.95 .0126 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1.86 .1958 2 0.98 1.88 .1959 1 0.98 1.79 .1960 2 0.98 1.70 .1961 2 0.98 1.71 .1962 2 0.98 1.81 .1963 4 0.98 1.85 .1964 3 0.98 1.74 .1965 2 0.98 1.71 .1966 2 0.98 1.73 .1967 4 0.98 1.74 .1968 3 0.98 1.87 .1969 2 0.98 1.68 .1970 3 0.98 1.73 .1971 3 0.98 1.76 .1972 4 0.98 1.75 .1973 3 0.98 1.73 .1974 1 0.98 1.75 .1975 2 0.98 1.76 .1976 2 0.98 1.82 .1977 2 0.98 1.83 .1978 3 0.98 2.10 .1979 5 0.98 1.92 .1980 2 0.98 2.09 .1981 3 0.98 1.83 .1982 3 0.98 1.96 .1983 1 0.98 2.05 .1984 2 0.98 1.88 .1985 3 0.98 2.01 .1986 3 0.98 2.01 .1987 2 0.98 2.03 .1988 3 0.98 2.08 .1989 1 0.98 2.00 .1990 2 0.98 1.96 .1991 1 0.98 1.89 .1992 2 0.98 2.05 .1993 4 0.98 1.94 .1994 2 0.98 2.09 .1995 2 0.98 2.10 .1996 1 0.98 1.88 .1997 2 0.98 2.01 .1998 2 0.98 2.06 .1999 2 0.98 2.14 .2000 3 0.98 2.17 .2001 3 0.98 1.96 .2002 1 0.98 2.01 .2003 2 0.98 2.07 .2004 3 0.98 2.03 .2005 3 0.98 2.02 .2006 4 0.98 2.05 .2007 4 0.98 1.88 .2008 1 0.98 1.76 .2009 1 0.98 1.82 .2010 2 0.98 1.86 .2011 2 0.98 1.91 .2012 2 0.98 1.80 .2013 2 0.98 1.66 .2014 3 0.98 1.85 .2015 4 0.98 1.78 .2016 3 0.98 1.65 .2017 1 0.98 1.74 .2018 2 0.98 1.63 .2019 3 0.98 1.63 .2020 2 0.98 1.75 .2021 2 0.98 1.55 .2022 2 0.98 1.52 .2023 2 0.98 1.49 .2024 1 0.98 1.53 .2025 1 0.98 1.45 .2026 1 0.98 1.51 .2027 1 0.98 1.54 .2028 3 0.98 1.62 .2029 2 0.98 1.55 .2030 2 0.98 1.62 .2031 4 0.98 1.64 .2032 4 0.98 1.86 .2033 3 0.98 1.79 .2034 1 0.98 1.62 .2035 1 0.98 1.69 .2036 3 0.98 1.71 .2037 3 0.98 1.80 .2038 3 0.97 1.74 .2039 2 0.97 1.67 .2040 3 0.97 1.69 .2041 2 0.97 1.71 .2042 1 0.97 1.68 .2043 1 0.97 1.78 .2044 1 0.97 1.75 .2045 1 0.97 1.70 .2046 1 0.97 1.58 .2047 1 0.97 1.65 EXTRACT_IMAGE: sdR-b1-00034589.fit: masked 2218 pixels EXTRACT_OBJECT: sdR-b1-00034589.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034589.fit: WARNING: Scattered light median = 28.6405 electrons QAPLOT_SCATLIGHT: sdR-b1-00034589.fit: WARNING: Scattered light max = 166.207 electrons EXTRACT_OBJECT: sdR-b1-00034589.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 13.24 .0004 3 0.93 10.36 .0005 3 0.93 8.69 .0006 1 0.93 7.57 .0007 2 0.93 7.13 .0008 1 0.93 6.71 .0009 2 0.93 6.58 .0010 2 0.93 6.08 .0011 2 0.93 5.58 .0012 2 0.93 5.74 .0013 3 0.93 5.35 .0014 6 0.93 4.86 .0015 3 0.93 4.52 .0016 2 0.93 4.62 .0017 2 0.93 4.05 .0018 3 0.93 3.95 .0019 3 0.93 4.16 .0020 2 0.93 4.26 .0021 3 0.94 4.05 .0022 2 0.94 4.43 .0023 3 0.94 4.44 .0024 2 0.94 4.57 .0025 1 0.94 4.92 .0026 2 0.94 5.59 .0027 3 0.94 6.72 .0028 3 0.94 6.72 .0029 2 0.94 7.45 .0030 3 0.94 7.84 .0031 2 0.94 8.32 .0032 1 0.94 9.58 .0033 1 0.94 9.78 .0034 3 0.94 11.44 .0035 1 0.94 11.63 .0036 1 0.94 11.74 .0037 3 0.94 12.26 .0038 2 0.94 12.40 .0039 1 0.94 12.41 .0040 3 0.94 12.01 .0041 2 0.94 10.86 .0042 2 0.94 10.01 .0043 3 0.94 9.28 .0044 1 0.94 8.37 .0045 1 0.94 7.53 .0046 2 0.94 6.91 .0047 2 0.94 6.45 .0048 3 0.94 6.03 .0049 2 0.94 5.74 .0050 3 0.94 5.61 .0051 1 0.94 5.81 .0052 1 0.94 5.60 .0053 2 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0.98 2.05 .1941 3 0.98 1.87 .1942 3 0.98 2.06 .1943 2 0.98 2.03 .1944 2 0.98 2.13 .1945 3 0.98 2.02 .1946 2 0.98 2.11 .1947 2 0.98 1.99 .1948 2 0.98 2.00 .1949 3 0.98 2.12 .1950 3 0.98 2.03 .1951 1 0.98 2.06 .1952 2 0.98 2.07 .1953 3 0.98 1.83 .1954 2 0.98 2.05 .1955 2 0.98 2.12 .1956 2 0.98 1.98 .1957 3 0.98 1.99 .1958 4 0.98 1.98 .1959 1 0.98 1.98 .1960 2 0.98 1.89 .1961 2 0.98 1.87 .1962 2 0.98 1.97 .1963 4 0.98 1.94 .1964 3 0.98 1.92 .1965 2 0.98 1.92 .1966 2 0.98 1.97 .1967 4 0.98 1.97 .1968 4 0.98 1.93 .1969 3 0.98 1.87 .1970 3 0.98 1.96 .1971 3 0.98 1.95 .1972 4 0.98 2.00 .1973 3 0.98 1.98 .1974 2 0.98 1.90 .1975 3 0.98 1.97 .1976 2 0.98 2.05 .1977 2 0.98 2.09 .1978 6 0.98 2.20 .1979 5 0.98 2.07 .1980 4 0.98 2.11 .1981 3 0.98 2.01 .1982 4 0.98 2.17 .1983 3 0.98 2.17 .1984 2 0.98 2.14 .1985 3 0.98 2.11 .1986 4 0.98 1.98 .1987 3 0.98 2.04 .1988 3 0.98 2.15 .1989 2 0.98 2.10 .1990 2 0.98 2.05 .1991 1 0.98 1.99 .1992 2 0.98 2.09 .1993 3 0.98 2.03 .1994 3 0.98 2.09 .1995 3 0.98 2.05 .1996 1 0.98 1.99 .1997 2 0.98 2.13 .1998 3 0.98 2.05 .1999 3 0.98 2.10 .2000 2 0.98 2.23 .2001 4 0.98 1.97 .2002 2 0.98 2.01 .2003 2 0.98 2.08 .2004 5 0.98 2.05 .2005 3 0.98 2.11 .2006 3 0.98 2.12 .2007 3 0.98 1.92 .2008 1 0.98 1.87 .2009 1 0.98 1.86 .2010 2 0.98 1.88 .2011 3 0.98 1.76 .2012 2 0.98 1.78 .2013 2 0.98 1.70 .2014 3 0.98 1.90 .2015 4 0.98 1.65 .2016 4 0.98 1.66 .2017 2 0.98 1.69 .2018 2 0.98 1.74 .2019 3 0.98 1.64 .2020 3 0.98 1.72 .2021 2 0.98 1.63 .2022 2 0.98 1.57 .2023 2 0.98 1.52 .2024 2 0.98 1.54 .2025 2 0.98 1.46 .2026 1 0.98 1.53 .2027 2 0.98 1.51 .2028 3 0.98 1.64 .2029 2 0.98 1.57 .2030 2 0.98 1.65 .2031 4 0.98 1.61 .2032 3 0.98 1.78 .2033 3 0.98 1.87 .2034 1 0.98 1.69 .2035 3 0.98 1.63 .2036 3 0.98 1.74 .2037 3 0.98 1.84 .2038 2 0.97 1.84 .2039 2 0.97 1.74 .2040 4 0.97 1.77 .2041 2 0.97 1.89 .2042 1 0.97 1.81 .2043 2 0.97 1.81 .2044 1 0.97 1.81 .2045 2 0.97 1.81 .2046 1 0.97 1.83 .2047 1 0.97 1.85 EXTRACT_IMAGE: sdR-b1-00034589.fit: masked 3931 pixels DIVIDEFLAT: sdR-b1-00034589.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034589.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034589.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034589.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034589.fit: Warning: Reject 448 low points in trace 279 DIVIDEFLAT: sdR-b1-00034589.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034589.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-b1-00034589.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034589.fit: sky shift reference line, offset: 5577.3390 -0.014036673 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 8 -0.25000000 -93.508347 0.0000000 1.0000000 -18.318947 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 17 0.17612564 -52.813170 0.80291526 0.60000000 62.101312 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 28 1.0651263 5.7998669 -1.0000000 1.4548143 23.655324 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 32 1.1940028 -51.209043 -0.14312868 0.88768246 94.526852 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 43 0.38937439 7.4489740 -0.26852520 0.88919197 48.601450 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 44 0.60081151 -5.4614720 -0.27737385 1.4864323 82.832155 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 70 1.7210830 -13.354979 -0.48857435 1.5098260 67.557738 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 78 2.1111934 -27.514401 0.27257382 1.3409465 69.200685 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 89 1.1537053 23.535315 -0.037547881 0.85316194 70.440029 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 95 0.48881852 -19.758143 -0.53353856 1.2707840 63.239756 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 101 0.19822664 36.623943 -0.097890434 1.0809339 78.938079 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 123 1.6327357 13.763348 -0.036080210 1.3595239 94.656872 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 124 0.47248450 -7.3623029 -0.043161548 0.95044863 79.992808 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 126 0.92034346 -48.955246 0.13560840 2.0000000 109.00478 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 134 4.7487506 -24.123923 0.28528294 0.60000000 105.14768 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 156 1.1471276 33.125715 -0.13343907 0.88579596 69.069201 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 203 2.0241763 13.757069 0.071686813 1.0765906 101.57040 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 216 0.70492157 -8.3608843 0.27766391 1.9931261 80.251849 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 218 1.6499568 -5.0458035 -0.20761949 0.86415032 61.390706 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 245 3.5542046 2.1406297 -0.56879901 1.4616367 76.296650 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 255 0.26098244 4.8990529 0.078312694 1.1653683 62.242537 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 262 0.46987184 -42.792497 -0.19396706 1.6610421 101.72401 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 267 0.65476003 -50.109994 0.40327303 2.0000000 56.064523 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 273 0.68068453 -50.881055 -0.18290900 1.0107499 74.074660 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 283 1.2913337 -25.223326 -0.22937203 1.1228973 91.527090 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 289 0.10692831 -20.002586 -0.81103337 1.1254229 63.952880 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 311 1.3767873 -26.988695 -0.42180514 2.0000000 61.200229 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 314 0.30228074 -28.147294 -0.38478791 1.0216740 72.624093 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 0 317 0.57516369 -19.750250 0.33171609 1.7871636 53.931762 LOCATESKYLINES_2: sdR-b1-00034589.fit: comb1 l,chi^2/dof,fit: 0 0.65484047 0.040029950 -0.12408393 1.1242014 0.95326192 LOCATESKYLINES_2: sdR-b1-00034589.fit: kept 198 of 198 points LOCATESKYLINES_2: sdR-b1-00034589.fit: offset, refoff, sigma: -0.138121-0.1240840.058539 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 8 1.6428698 -190.17565 0.28388016 1.2604692 216.85958 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 17 -0.25000000 -180.48293 0.0000000 1.0000000 -9.2571878 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 28 1.0546751 -114.83129 -0.0045122904 1.1573598 221.35222 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 32 0.70871778 -132.81766 -0.056946532 1.2427428 184.75729 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 43 0.92889139 -88.369797 -0.25177833 1.3561574 192.48279 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 44 0.90261364 -65.802685 0.0047117136 1.1203357 252.68225 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 70 0.73617976 -13.004133 -0.0069900228 0.98195127 247.56832 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 78 1.6334477 -43.271158 -0.15333184 1.2796711 198.62229 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 89 1.5698308 -32.292318 -0.47905536 1.4999673 242.07335 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 95 1.1640005 -34.095257 -0.21472373 1.3753368 206.67311 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 101 1.7024426 41.942757 -0.066779754 1.1033533 232.64891 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 123 1.3436935 53.197045 -0.15064762 1.0322129 212.89213 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 124 0.48052754 -22.483219 -0.073687072 1.2949304 240.56787 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 126 1.2689015 -49.022136 -0.10431812 1.2476596 231.51130 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 134 1.3216028 -19.448771 -0.12291058 1.1597096 172.15772 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 156 0.66042263 29.587899 -0.12439434 1.1243783 221.20682 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 203 1.8172474 -25.433201 -0.13606701 1.5207890 214.42109 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 216 1.4494258 11.700710 0.17474172 1.0140287 192.09742 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 218 0.86445307 -14.697559 -0.044569169 1.1419129 188.04721 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 245 0.41253823 2.1550151 0.0035315918 1.0611444 190.49062 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 255 0.97288555 5.3164721 -0.14742105 1.2243237 172.23705 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 262 0.94615136 -73.995354 -0.015297019 1.3242021 173.92350 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 267 1.4953522 -113.67730 -0.080518367 1.1397233 233.34739 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 273 0.38492768 -99.400629 0.10203048 1.3009350 178.15012 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 283 1.9184191 -42.524747 0.013486842 1.0019181 181.35166 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 289 3.9051263 -47.997069 0.067873508 1.0003349 214.76543 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 311 0.83002960 -41.351607 -0.11365797 1.1942667 240.89421 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 314 1.2826933 -37.750914 0.040091076 1.1385121 204.24868 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 1 317 1.1330214 -21.410766 -0.22719588 1.4191710 200.70349 LOCATESKYLINES_2: sdR-b1-00034589.fit: comb1 l,chi^2/dof,fit: 1 1.0148921 0.010868421 -0.069505374 1.1617128 0.98924549 LOCATESKYLINES_2: sdR-b1-00034589.fit: sigma-clipped to 251 of 252 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034589.fit: comb2 l,chi^2/dof,fit: 1 0.93142307 0.0085732167 -0.064920224 1.1576855 0.99377652 LOCATESKYLINES_2: sdR-b1-00034589.fit: kept 251 of 252 points LOCATESKYLINES_2: sdR-b1-00034589.fit: offset, refoff, sigma: -0.078957-0.0649200.023356 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 8 -0.25000000 -339.56485 0.0000000 1.0000000 -29.423185 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -446.97290 0.0000000 1.0000000 -216.02885 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 28 -0.25000000 -343.91974 0.0000000 1.0000000 -75.241310 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -356.55173 0.0000000 1.0000000 -19.022413 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 43 0.50252841 -203.06288 0.16347956 1.2197000 237.94589 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 44 0.46950648 -186.13955 0.092429744 1.4616584 287.46368 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 70 0.83514006 -42.255006 -0.17015233 1.5394437 278.17601 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 78 1.7561918 -25.664984 -0.00079356778 1.2022049 266.08318 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 89 0.75054133 -35.604844 0.10354235 1.4663855 285.81016 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 95 0.39861797 -22.772714 0.21411808 1.1043008 240.75014 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 101 1.1466057 58.661538 -0.10519687 1.1385474 292.56926 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 123 1.3234645 31.110092 0.14284295 1.5666181 268.15329 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 124 0.55286230 -2.4581604 0.056869011 1.2524915 238.60428 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 126 1.8770468 -5.0721856 0.030955227 1.0295988 297.07111 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 134 0.72116613 21.019881 0.25160547 0.97079822 282.57016 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 156 1.0878678 92.334652 0.085416107 1.1921313 246.62470 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 203 1.9239710 -3.7653096 0.25615225 1.1554192 274.17578 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 216 0.50666579 18.195476 0.29949537 0.87068996 269.28149 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 218 0.44622325 -3.2931137 0.0063028151 1.1298234 255.17050 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 245 3.1236022 -23.813179 -0.10901332 1.3925768 292.83624 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 255 1.3444036 16.209845 -0.030065969 1.3230541 234.85107 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 262 0.12463182 -5.3304965 0.14374648 1.1450001 254.80386 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 267 0.43432017 -96.028786 -0.15706796 1.4916205 215.01993 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 273 1.5099307 -80.314238 0.20829714 1.1834096 224.69146 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 283 0.67708104 -104.14097 0.051369409 1.1898469 323.03979 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 289 0.55311900 -81.238174 -0.046469477 1.1819995 257.60793 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 311 2.0814068 -26.009191 0.19220187 1.2863596 256.53120 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 314 2.3207328 -14.530728 0.18695955 1.1522122 287.75955 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 2 317 2.2675754 5.0348259 0.23869242 0.88561310 322.60345 LOCATESKYLINES_2: sdR-b1-00034589.fit: comb1 l,chi^2/dof,fit: 2 1.0115527 0.010429523 0.072784315 1.2040804 0.97882301 LOCATESKYLINES_2: sdR-b1-00034589.fit: kept 225 of 225 points LOCATESKYLINES_2: sdR-b1-00034589.fit: offset, refoff, sigma: 0.0587480.0727840.024687 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 8 3.1983877 -346.88385 0.0094572040 0.93721780 3826.7764 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 17 8.3736145 -484.73316 0.0040918742 0.92619330 3873.6969 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 28 1.7096973 -368.54197 0.013385871 0.93991038 3930.4720 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 32 1.1241393 -367.93749 0.021764937 0.91278525 3902.7096 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 43 6.8185388 -243.81047 -0.036768112 0.97788177 3659.3600 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 44 2.4921000 -189.88888 -0.0029624424 0.92267780 3789.8129 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 70 4.8736633 -51.651454 0.0078859605 0.92325376 3900.8528 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 78 7.4420928 -45.038659 -0.0082200999 0.93483882 3982.9517 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 89 4.7513517 -45.686232 0.032211876 0.93101582 3807.9061 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 95 4.0452000 -39.667735 0.0060487037 0.94468122 3936.4865 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 101 5.8969041 48.656391 -0.0046376134 0.91267412 3937.7274 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 123 6.5961718 39.264698 0.036968051 0.94885889 3859.0463 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 124 5.6162620 6.9610490 0.043878169 0.97374321 3599.4932 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 126 6.6239898 -11.896109 0.048163654 0.97792820 3691.8144 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 134 1.3295150 -10.154072 0.050324958 0.94597998 3856.2419 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 156 8.7546002 56.314597 0.058973005 0.96351871 3723.8537 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 203 2.0179865 -2.5830288 0.072638394 0.97563255 3673.4995 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 216 5.6986225 -25.795123 0.031864357 0.95986613 3712.7639 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 218 3.9501111 -25.181721 0.046629698 0.97463428 3734.2499 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 245 3.5210219 4.0085652 0.029502631 0.99615902 3748.9691 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 255 4.2808860 6.0741471 0.044059044 0.96396258 3734.3930 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 262 4.1917519 -76.412758 0.016250739 1.0106283 3673.6483 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 267 5.1177021 -115.29501 0.022452144 1.0105427 3577.3893 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 273 3.8227651 -173.33731 0.035533259 1.0184077 3627.9053 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 283 6.5974310 -106.20769 0.020828243 0.96947304 3867.2446 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 289 3.6882921 -93.005718 0.012650825 0.97592813 3802.0641 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 311 2.0855378 -58.560389 0.027519825 0.99787124 3720.5356 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 314 5.0859566 -4.5049442 0.057633681 0.99416047 3670.7866 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 3 317 4.2846727 -11.651432 0.059099933 0.98057251 3804.0030 LOCATESKYLINES_2: sdR-b1-00034589.fit: comb1 l,chi^2/dof,fit: 3 3.9883356 0.00014274175 0.026155646 0.95794789 0.99997195 LOCATESKYLINES_2: sdR-b1-00034589.fit: sigma-clipped to 246 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034589.fit: comb2 l,chi^2/dof,fit: 3 2.4355797 0.0013981664 0.027132203 0.96321885 0.99199615 LOCATESKYLINES_2: sdR-b1-00034589.fit: kept 246 of 261 points LOCATESKYLINES_2: sdR-b1-00034589.fit: offset, refoff, sigma: 0.0130960.0271320.002839 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 8 32.840450 -167.33955 -0.0042579237 0.78459267 722.97680 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 17 10.177684 -316.55622 -0.0027949610 0.79931363 816.99292 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 28 21.101642 -205.47591 -0.017272941 0.85076742 654.83171 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 32 10.512784 -248.87392 0.064704572 0.94054650 722.50969 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 43 20.361983 -115.44915 0.083065124 0.84016820 641.34349 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 44 22.478676 -87.084157 0.082602963 0.89937238 671.25387 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 70 16.504125 42.909305 0.060397347 0.88705059 678.18143 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 78 31.594709 18.493043 0.070361484 0.85122320 678.82893 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 89 14.663685 8.2097261 0.049875437 0.88613338 812.53933 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 95 31.985415 35.289558 0.081237809 0.78435284 713.27663 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 101 53.417945 129.25269 0.018795712 0.81134729 723.89752 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 123 26.664343 70.267178 0.12569896 0.90448552 649.87165 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 124 20.220637 45.981163 0.055238353 0.86495927 606.97105 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 126 18.628465 22.440513 0.11865786 0.90221956 674.76380 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 134 24.967674 -27.461971 0.10833909 0.87668840 651.67308 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 156 37.371212 163.62838 0.17831186 0.87590760 690.76262 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 203 18.981048 20.665389 0.040444786 0.94630850 657.61104 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 216 36.572376 80.805044 0.046849517 0.85240308 627.24762 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 218 29.974875 69.766951 0.048873202 0.80127260 656.37637 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 245 30.139471 75.927210 0.12962279 0.79906780 685.91085 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 255 32.209409 46.668413 0.085215574 0.91473920 644.76767 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 262 10.144521 20.699629 0.11287992 0.82230552 698.24039 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 267 15.953067 14.852830 0.12821816 0.84081013 572.87922 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 273 14.277590 -44.738568 0.045465358 0.96160433 676.62726 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 283 8.8148058 -18.514358 0.044232993 0.92503180 694.93621 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 289 31.045960 8.0643205 0.14097750 0.82441178 661.32987 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 311 17.646535 10.645574 0.019467708 0.98237726 671.46883 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 314 23.140816 61.605463 0.12943925 0.80994693 651.25082 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 4 317 11.277753 31.097576 0.038796979 0.97016592 697.68658 LOCATESKYLINES_2: sdR-b1-00034589.fit: comb1 l,chi^2/dof,fit: 4 13.534445 0.00075007109 0.072253926 0.86912410 0.99497647 LOCATESKYLINES_2: sdR-b1-00034589.fit: sigma-clipped to 224 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034589.fit: comb2 l,chi^2/dof,fit: 4 1.9619576 -0.077240520 0.066242433 0.96377122 1.0491889 LOCATESKYLINES_2: sdR-b1-00034589.fit: kept 224 of 261 points LOCATESKYLINES_2: sdR-b1-00034589.fit: offset, refoff, sigma: 0.0522060.0662420.008716 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 8 52.626198 -137.95666 0.091974197 0.72042171 404.64238 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 17 39.933965 -261.57790 -0.029938472 0.73190317 506.88903 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 28 28.188495 -192.51189 0.20275735 0.74493518 434.49532 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 32 39.977370 -165.12989 -0.069328502 0.69034402 375.55960 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 43 16.114173 -129.24357 0.016710187 0.78859623 436.21230 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 44 34.185498 -88.802864 0.15019720 0.79839027 404.29771 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 70 63.088397 80.998026 0.071004876 0.79479026 395.47481 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 78 19.038201 15.655308 0.031681183 0.75861788 419.01338 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 89 51.273066 93.352311 -0.077642010 0.68256989 403.14194 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 95 63.931135 59.726183 -0.10418734 0.60000000 490.08294 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 101 102.23257 143.61739 0.055416326 0.70165490 405.48595 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 123 34.009106 60.046244 -0.0055184542 0.77134013 477.10940 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 124 31.827013 24.461286 0.064013918 0.86839634 385.74713 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 126 28.951011 26.360872 0.25558419 0.67266912 356.26042 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 134 23.324436 -35.759058 0.013603056 0.80761764 479.65788 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 156 37.939210 153.97810 0.074796179 0.87128218 379.89904 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 203 52.958039 43.911591 0.15829899 0.82404120 368.44052 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 216 58.266569 98.216372 -0.015572889 0.71241626 362.53060 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 218 55.706688 88.476980 0.013694330 0.63396145 355.11640 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 245 13.777333 34.625598 0.027619412 0.86938073 436.95413 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 255 29.257400 43.960180 0.25807448 0.72722574 402.60009 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 262 28.023637 24.136440 0.17989617 0.77109912 332.66264 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 267 10.290309 -32.213955 0.11059464 0.88779718 363.07588 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 273 50.477322 -0.25517918 0.020344375 0.81750014 358.23203 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 283 36.519952 46.282724 0.034082581 0.71703608 350.38454 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 289 49.066234 57.390870 0.011465142 0.60000000 392.15651 LOCATESKYLINES_2: sdR-b1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 311 39.882013 29.240794 0.10504909 0.70079123 419.22228 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 314 20.289329 -8.9509500 0.089769214 0.92890419 430.95962 LOCATESKYLINES_2: sdR-b1-00034589.fit: l,f,chi^2/dof,c: 5 317 64.361734 73.725065 0.00070382652 0.80593636 418.78426 LOCATESKYLINES_2: sdR-b1-00034589.fit: trimmed 1high points: 0.66810371 LOCATESKYLINES_2: sdR-b1-00034589.fit: comb1 l,chi^2/dof,fit: 5 20.676829 -0.0062480591 0.066624301 0.80000000 0.98163214 LOCATESKYLINES_2: sdR-b1-00034589.fit: sigma-clipped to 203 of 242 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034589.fit: comb2 l,chi^2/dof,fit: 5 1.7703959 -0.14249741 0.074391916 0.92625863 1.0993490 LOCATESKYLINES_2: sdR-b1-00034589.fit: kept 203 of 242 points LOCATESKYLINES_2: sdR-b1-00034589.fit: offset, refoff, sigma: 0.0603550.0743920.012959 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 5425.9992 DOF = 1545 P(0) = -1.88649 P(1) = 0.00000 P(2) = -1.88649 P(3) = -1.88649 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 4970.3883 DOF = 1545 P(0) = -0.576428 P(1) = 2.71112E-05 P(2) = -9.48753 P(3) = 19.3090 P(4) = 0.000130000 P(5) = 0.0716917 Iter 3 CHI-SQUARE = 4714.2327 DOF = 1545 P(0) = -0.843934 P(1) = -2.18571E-05 P(2) = 0.0851938 P(3) = 62.2123 P(4) = 0.000130000 P(5) = 0.136294 Iter 4 CHI-SQUARE = 4680.0834 DOF = 1545 P(0) = -0.0358894 P(1) = 1.71660E-05 P(2) = -2.21890 P(3) = 59.9146 P(4) = 0.000130000 P(5) = 0.204986 Iter 5 CHI-SQUARE = 4679.6149 DOF = 1545 P(0) = -0.142498 P(1) = 1.21951E-05 P(2) = -0.168766 P(3) = 61.5690 P(4) = 0.000130000 P(5) = 0.204745 Iter 6 CHI-SQUARE = 4679.5894 DOF = 1545 P(0) = -0.125131 P(1) = 1.35335E-05 P(2) = -0.772240 P(3) = 61.4381 P(4) = 0.000130000 P(5) = 0.206252 Iter 7 CHI-SQUARE = 4679.5880 DOF = 1545 P(0) = -0.125311 P(1) = 1.32423E-05 P(2) = -0.616850 P(3) = 61.4720 P(4) = 0.000130000 P(5) = 0.206334 Iter 7 CHI-SQUARE = 4679.5880 DOF = 1545 P(0) = -0.125311 P(1) = 1.32423E-05 P(2) = -0.616850 P(3) = 61.4720 P(4) = 0.000130000 P(5) = 0.206334 FITMOONPLUSLINE: sdR-b1-00034589.fit: fit coeffs: -0.12531127 1.3242276e-05 -0.61684974 61.472010 0.00013000000 0.20633371 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 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2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034589.fit: changing 4046.58 correction from -0.138121 to -0.11979448 pixels, err= 0.081695264 Iter 1 CHI-SQUARE = 29261.891 DOF = 3198 P(0) = -15.1132 P(1) = 0.00000 P(2) = -15.1132 P(3) = -15.1132 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 24628.420 DOF = 3198 P(0) = -21.6458 P(1) = 3.16926E-06 P(2) = 15.5587 P(3) = 189.519 P(4) = 0.000130000 P(5) = -0.174554 Iter 3 CHI-SQUARE = 24624.291 DOF = 3198 P(0) = -21.9002 P(1) = 9.69471E-06 P(2) = 15.1890 P(3) = 189.844 P(4) = 0.000130000 P(5) = -0.174201 Iter 4 CHI-SQUARE = 24623.788 DOF = 3198 P(0) = -21.6322 P(1) = 9.05059E-06 P(2) = 15.2252 P(3) = 190.018 P(4) = 0.000130000 P(5) = -0.174619 Iter 4 CHI-SQUARE = 24623.788 DOF = 3198 P(0) = -21.6322 P(1) = 9.05059E-06 P(2) = 15.2252 P(3) = 190.018 P(4) = 0.000130000 P(5) = -0.174619 FITMOONPLUSLINE: sdR-b1-00034589.fit: fit coeffs: -21.632224 9.0505855e-06 15.225200 190.01795 0.00013000000 -0.17461891 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 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2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034589.fit: changing 4358.33 correction from -0.0789569 to -0.083545889 pixels, err= 0.029032268 Iter 1 CHI-SQUARE = 22325.774 DOF = 1068 P(0) = -23.1874 P(1) = 0.00000 P(2) = -23.1874 P(3) = -23.1874 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 19084.813 DOF = 1068 P(0) = -26.1095 P(1) = 8.33246E-05 P(2) = 133.980 P(3) = 112.886 P(4) = 0.000130000 P(5) = 0.207096 Iter 3 CHI-SQUARE = 18479.110 DOF = 1068 P(0) = -22.4717 P(1) = 5.43453E-05 P(2) = 272.179 P(3) = 165.133 P(4) = 0.000130000 P(5) = 0.265796 Iter 4 CHI-SQUARE = 18186.872 DOF = 1068 P(0) = -27.6927 P(1) = 3.44098E-05 P(2) = 164.042 P(3) = 215.689 P(4) = 0.000130000 P(5) = 0.0268261 Iter 5 CHI-SQUARE = 17856.544 DOF = 1068 P(0) = -37.1649 P(1) = -2.33280E-06 P(2) = -32.1414 P(3) = 237.373 P(4) = 0.000130000 P(5) = 0.205860 Iter 6 CHI-SQUARE = 17800.605 DOF = 1068 P(0) = -37.2736 P(1) = -2.29969E-06 P(2) = 79.3036 P(3) = 235.152 P(4) = 0.000130000 P(5) = 0.424575 Iter 7 CHI-SQUARE = 17800.343 DOF = 1068 P(0) = -36.5661 P(1) = -2.51559E-06 P(2) = 100.088 P(3) = 233.694 P(4) = 0.000130000 P(5) = 0.501693 Iter 8 CHI-SQUARE = 17798.730 DOF = 1068 P(0) = -37.1142 P(1) = -2.60577E-06 P(2) = 100.628 P(3) = 233.461 P(4) = 0.000130000 P(5) = 0.460981 Iter 9 CHI-SQUARE = 17798.662 DOF = 1068 P(0) = -37.1200 P(1) = -2.64054E-06 P(2) = 100.900 P(3) = 233.563 P(4) = 0.000130000 P(5) = 0.460081 Iter 10 CHI-SQUARE = 17798.585 DOF = 1068 P(0) = -37.3136 P(1) = -2.64670E-06 P(2) = 101.031 P(3) = 233.506 P(4) = 0.000130000 P(5) = 0.458664 Iter 11 CHI-SQUARE = 17798.576 DOF = 1068 P(0) = -37.2694 P(1) = -2.65382E-06 P(2) = 101.025 P(3) = 233.602 P(4) = 0.000130000 P(5) = 0.460052 Iter 12 CHI-SQUARE = 17798.561 DOF = 1068 P(0) = -37.2664 P(1) = -2.66216E-06 P(2) = 101.020 P(3) = 233.615 P(4) = 0.000130000 P(5) = 0.460700 Iter 13 CHI-SQUARE = 17798.540 DOF = 1068 P(0) = -37.2339 P(1) = -2.67894E-06 P(2) = 101.029 P(3) = 233.626 P(4) = 0.000130000 P(5) = 0.462138 Iter 14 CHI-SQUARE = 17798.507 DOF = 1068 P(0) = -37.1584 P(1) = -2.71359E-06 P(2) = 101.085 P(3) = 233.634 P(4) = 0.000130000 P(5) = 0.462145 Iter 15 CHI-SQUARE = 17798.430 DOF = 1068 P(0) = -37.4435 P(1) = -2.73846E-06 P(2) = 100.995 P(3) = 233.577 P(4) = 0.000130000 P(5) = 0.462857 Iter 16 CHI-SQUARE = 17798.287 DOF = 1068 P(0) = -37.3672 P(1) = -2.80802E-06 P(2) = 100.953 P(3) = 233.622 P(4) = 0.000130000 P(5) = 0.463692 Iter 17 CHI-SQUARE = 17798.235 DOF = 1068 P(0) = -37.4884 P(1) = -2.85472E-06 P(2) = 101.086 P(3) = 233.593 P(4) = 0.000130000 P(5) = 0.464905 Iter 18 CHI-SQUARE = 17798.044 DOF = 1068 P(0) = -37.3856 P(1) = -2.95015E-06 P(2) = 101.157 P(3) = 233.624 P(4) = 0.000130000 P(5) = 0.454319 Iter 19 CHI-SQUARE = 17797.995 DOF = 1068 P(0) = -37.2027 P(1) = -2.98262E-06 P(2) = 101.671 P(3) = 233.620 P(4) = 0.000130000 P(5) = 0.460799 Iter 20 CHI-SQUARE = 17797.968 DOF = 1068 P(0) = -37.2920 P(1) = -2.98425E-06 P(2) = 101.832 P(3) = 233.550 P(4) = 0.000130000 P(5) = 0.461086 Iter 21 CHI-SQUARE = 17797.941 DOF = 1068 P(0) = -37.3584 P(1) = -2.99905E-06 P(2) = 101.795 P(3) = 233.550 P(4) = 0.000130000 P(5) = 0.461843 Iter 22 CHI-SQUARE = 17797.910 DOF = 1068 P(0) = -37.2258 P(1) = -3.02858E-06 P(2) = 101.861 P(3) = 233.587 P(4) = 0.000130000 P(5) = 0.464241 Iter 23 CHI-SQUARE = 17797.779 DOF = 1068 P(0) = -37.3459 P(1) = -3.09183E-06 P(2) = 101.765 P(3) = 233.565 P(4) = 0.000130000 P(5) = 0.463215 Iter 24 CHI-SQUARE = 17797.622 DOF = 1068 P(0) = -37.1856 P(1) = -3.20775E-06 P(2) = 101.906 P(3) = 233.583 P(4) = 0.000130000 P(5) = 0.465926 Iter 25 CHI-SQUARE = 17797.323 DOF = 1068 P(0) = -37.0472 P(1) = -3.44133E-06 P(2) = 102.018 P(3) = 233.587 P(4) = 0.000130000 P(5) = 0.462952 Iter 26 CHI-SQUARE = 17797.162 DOF = 1068 P(0) = -37.4736 P(1) = -3.49814E-06 P(2) = 102.689 P(3) = 233.468 P(4) = 0.000130000 P(5) = 0.453376 Iter 27 CHI-SQUARE = 17797.024 DOF = 1068 P(0) = -37.4166 P(1) = -3.56325E-06 P(2) = 102.838 P(3) = 233.517 P(4) = 0.000130000 P(5) = 0.456408 Iter 28 CHI-SQUARE = 17796.917 DOF = 1068 P(0) = -37.2351 P(1) = -3.62666E-06 P(2) = 103.150 P(3) = 233.522 P(4) = 0.000130000 P(5) = 0.460832 Iter 29 CHI-SQUARE = 17796.881 DOF = 1068 P(0) = -37.4107 P(1) = -3.64876E-06 P(2) = 103.309 P(3) = 233.457 P(4) = 0.000130000 P(5) = 0.462165 Iter 30 CHI-SQUARE = 17796.839 DOF = 1068 P(0) = -37.1956 P(1) = -3.69875E-06 P(2) = 103.468 P(3) = 233.487 P(4) = 0.000130000 P(5) = 0.469402 Iter 31 CHI-SQUARE = 17796.778 DOF = 1068 P(0) = -37.1921 P(1) = -3.80209E-06 P(2) = 103.464 P(3) = 233.508 P(4) = 0.000130000 P(5) = 0.440330 Iter 32 CHI-SQUARE = 17796.575 DOF = 1068 P(0) = -37.2639 P(1) = -3.85062E-06 P(2) = 103.778 P(3) = 233.455 P(4) = 0.000130000 P(5) = 0.460591 Iter 33 CHI-SQUARE = 17796.548 DOF = 1068 P(0) = -37.1837 P(1) = -3.88712E-06 P(2) = 103.967 P(3) = 233.478 P(4) = 0.000130000 P(5) = 0.458109 Iter 34 CHI-SQUARE = 17796.494 DOF = 1068 P(0) = -37.3905 P(1) = -3.92053E-06 P(2) = 103.981 P(3) = 233.400 P(4) = 0.000130000 P(5) = 0.454399 Iter 35 CHI-SQUARE = 17796.430 DOF = 1068 P(0) = -37.4189 P(1) = -3.95710E-06 P(2) = 103.963 P(3) = 233.435 P(4) = 0.000130000 P(5) = 0.463595 Iter 36 CHI-SQUARE = 17796.353 DOF = 1068 P(0) = -37.1753 P(1) = -4.03045E-06 P(2) = 104.153 P(3) = 233.458 P(4) = 0.000130000 P(5) = 0.465813 Iter 37 CHI-SQUARE = 17796.275 DOF = 1068 P(0) = -37.2373 P(1) = -4.09865E-06 P(2) = 104.301 P(3) = 233.441 P(4) = 0.000130000 P(5) = 0.448681 Iter 38 CHI-SQUARE = 17796.163 DOF = 1068 P(0) = -37.4203 P(1) = -4.16400E-06 P(2) = 104.289 P(3) = 233.415 P(4) = 0.000130000 P(5) = 0.471440 Iter 39 CHI-SQUARE = 17795.961 DOF = 1068 P(0) = -37.3653 P(1) = -4.30820E-06 P(2) = 104.268 P(3) = 233.426 P(4) = 0.000130000 P(5) = 0.470475 Iter 40 CHI-SQUARE = 17795.934 DOF = 1068 P(0) = -37.2005 P(1) = -4.33254E-06 P(2) = 104.940 P(3) = 233.442 P(4) = 0.000130000 P(5) = 0.461834 Iter 41 CHI-SQUARE = 17795.883 DOF = 1068 P(0) = -37.2821 P(1) = -4.36162E-06 P(2) = 105.068 P(3) = 233.380 P(4) = 0.000130000 P(5) = 0.467250 Iter 42 CHI-SQUARE = 17795.833 DOF = 1068 P(0) = -37.4172 P(1) = -4.42156E-06 P(2) = 104.912 P(3) = 233.379 P(4) = 0.000130000 P(5) = 0.472297 Iter 43 CHI-SQUARE = 17795.715 DOF = 1068 P(0) = -37.5249 P(1) = -4.54441E-06 P(2) = 104.774 P(3) = 233.382 P(4) = 0.000130000 P(5) = 0.467009 Iter 44 CHI-SQUARE = 17795.621 DOF = 1068 P(0) = -37.4552 P(1) = -4.59622E-06 P(2) = 105.297 P(3) = 233.358 P(4) = 0.000130000 P(5) = 0.468249 Iter 45 CHI-SQUARE = 17795.605 DOF = 1068 P(0) = -37.0713 P(1) = -4.69533E-06 P(2) = 105.665 P(3) = 233.359 P(4) = 0.000130000 P(5) = 0.473372 Iter 46 CHI-SQUARE = 17795.463 DOF = 1068 P(0) = -37.4592 P(1) = -4.73813E-06 P(2) = 105.728 P(3) = 233.291 P(4) = 0.000130000 P(5) = 0.460411 Iter 47 CHI-SQUARE = 17795.411 DOF = 1068 P(0) = -37.1695 P(1) = -4.78515E-06 P(2) = 106.019 P(3) = 233.339 P(4) = 0.000130000 P(5) = 0.466455 Iter 48 CHI-SQUARE = 17795.296 DOF = 1068 P(0) = -37.2837 P(1) = -4.89194E-06 P(2) = 105.862 P(3) = 233.325 P(4) = 0.000130000 P(5) = 0.474633 Iter 49 CHI-SQUARE = 17795.254 DOF = 1068 P(0) = -37.2247 P(1) = -4.91063E-06 P(2) = 106.394 P(3) = 233.302 P(4) = 0.000130000 P(5) = 0.465923 Iter 50 CHI-SQUARE = 17795.227 DOF = 1068 P(0) = -37.1635 P(1) = -4.95432E-06 P(2) = 106.424 P(3) = 233.313 P(4) = 0.000130000 P(5) = 0.461951 Iter 51 CHI-SQUARE = 17795.154 DOF = 1068 P(0) = -37.3491 P(1) = -4.99637E-06 P(2) = 106.362 P(3) = 233.286 P(4) = 0.000130000 P(5) = 0.466534 Iter 52 CHI-SQUARE = 17795.076 DOF = 1068 P(0) = -37.2122 P(1) = -5.08595E-06 P(2) = 106.432 P(3) = 233.307 P(4) = 0.000130000 P(5) = 0.462611 Iter 53 CHI-SQUARE = 17795.068 DOF = 1068 P(0) = -37.2865 P(1) = -5.08013E-06 P(2) = 106.751 P(3) = 233.254 P(4) = 0.000130000 P(5) = 0.462263 Iter 54 CHI-SQUARE = 17795.059 DOF = 1068 P(0) = -37.3247 P(1) = -5.08796E-06 P(2) = 106.767 P(3) = 233.248 P(4) = 0.000130000 P(5) = 0.462907 Iter 55 CHI-SQUARE = 17795.051 DOF = 1068 P(0) = -37.3206 P(1) = -5.09644E-06 P(2) = 106.768 P(3) = 233.265 P(4) = 0.000130000 P(5) = 0.463060 Iter 56 CHI-SQUARE = 17795.043 DOF = 1068 P(0) = -37.3148 P(1) = -5.10401E-06 P(2) = 106.780 P(3) = 233.271 P(4) = 0.000130000 P(5) = 0.463399 Iter 57 CHI-SQUARE = 17795.030 DOF = 1068 P(0) = -37.2815 P(1) = -5.11856E-06 P(2) = 106.802 P(3) = 233.277 P(4) = 0.000130000 P(5) = 0.463919 Iter 58 CHI-SQUARE = 17795.022 DOF = 1068 P(0) = -37.3557 P(1) = -5.12942E-06 P(2) = 106.814 P(3) = 233.240 P(4) = 0.000130000 P(5) = 0.462566 Iter 59 CHI-SQUARE = 17795.008 DOF = 1068 P(0) = -37.3419 P(1) = -5.14191E-06 P(2) = 106.817 P(3) = 233.265 P(4) = 0.000130000 P(5) = 0.462667 Iter 60 CHI-SQUARE = 17794.994 DOF = 1068 P(0) = -37.3210 P(1) = -5.15446E-06 P(2) = 106.846 P(3) = 233.271 P(4) = 0.000130000 P(5) = 0.463318 Iter 61 CHI-SQUARE = 17794.973 DOF = 1068 P(0) = -37.2800 P(1) = -5.17951E-06 P(2) = 106.887 P(3) = 233.267 P(4) = 0.000130000 P(5) = 0.465459 Iter 62 CHI-SQUARE = 17794.964 DOF = 1068 P(0) = -37.4731 P(1) = -5.22769E-06 P(2) = 106.709 P(3) = 233.253 P(4) = 0.000130000 P(5) = 0.465046 Iter 63 CHI-SQUARE = 17794.907 DOF = 1068 P(0) = -37.2747 P(1) = -5.24964E-06 P(2) = 106.973 P(3) = 233.297 P(4) = 0.000130000 P(5) = 0.463147 Iter 64 CHI-SQUARE = 17794.876 DOF = 1068 P(0) = -37.2057 P(1) = -5.30030E-06 P(2) = 107.075 P(3) = 233.269 P(4) = 0.000130000 P(5) = 0.461274 Iter 65 CHI-SQUARE = 17794.856 DOF = 1068 P(0) = -37.2154 P(1) = -5.31848E-06 P(2) = 107.257 P(3) = 233.244 P(4) = 0.000130000 P(5) = 0.463666 Iter 66 CHI-SQUARE = 17794.830 DOF = 1068 P(0) = -37.2531 P(1) = -5.33802E-06 P(2) = 107.282 P(3) = 233.236 P(4) = 0.000130000 P(5) = 0.464976 Iter 67 CHI-SQUARE = 17794.818 DOF = 1068 P(0) = -37.3648 P(1) = -5.35147E-06 P(2) = 107.258 P(3) = 233.213 P(4) = 0.000130000 P(5) = 0.463941 Iter 68 CHI-SQUARE = 17794.800 DOF = 1068 P(0) = -37.2998 P(1) = -5.36722E-06 P(2) = 107.302 P(3) = 233.238 P(4) = 0.000130000 P(5) = 0.465188 Iter 69 CHI-SQUARE = 17794.796 DOF = 1068 P(0) = -37.1834 P(1) = -5.39910E-06 P(2) = 107.380 P(3) = 233.258 P(4) = 0.000130000 P(5) = 0.462047 Iter 70 CHI-SQUARE = 17794.771 DOF = 1068 P(0) = -37.2160 P(1) = -5.41554E-06 P(2) = 107.483 P(3) = 233.226 P(4) = 0.000130000 P(5) = 0.464440 Iter 71 CHI-SQUARE = 17794.744 DOF = 1068 P(0) = -37.3171 P(1) = -5.43166E-06 P(2) = 107.438 P(3) = 233.216 P(4) = 0.000130000 P(5) = 0.465120 Iter 72 CHI-SQUARE = 17794.729 DOF = 1068 P(0) = -37.4079 P(1) = -5.46740E-06 P(2) = 107.321 P(3) = 233.220 P(4) = 0.000130000 P(5) = 0.465892 Iter 73 CHI-SQUARE = 17794.664 DOF = 1068 P(0) = -37.3525 P(1) = -5.54053E-06 P(2) = 107.331 P(3) = 233.236 P(4) = 0.000130000 P(5) = 0.459765 Iter 74 CHI-SQUARE = 17794.658 DOF = 1068 P(0) = -37.3136 P(1) = -5.53664E-06 P(2) = 107.650 P(3) = 233.224 P(4) = 0.000130000 P(5) = 0.463157 Iter 75 CHI-SQUARE = 17794.653 DOF = 1068 P(0) = -37.3179 P(1) = -5.54287E-06 P(2) = 107.673 P(3) = 233.212 P(4) = 0.000130000 P(5) = 0.463294 Iter 76 CHI-SQUARE = 17794.648 DOF = 1068 P(0) = -37.3124 P(1) = -5.54912E-06 P(2) = 107.688 P(3) = 233.215 P(4) = 0.000130000 P(5) = 0.463012 Iter 77 CHI-SQUARE = 17794.642 DOF = 1068 P(0) = -37.3139 P(1) = -5.55517E-06 P(2) = 107.711 P(3) = 233.208 P(4) = 0.000130000 P(5) = 0.463643 Iter 78 CHI-SQUARE = 17794.637 DOF = 1068 P(0) = -37.3087 P(1) = -5.56120E-06 P(2) = 107.739 P(3) = 233.205 P(4) = 0.000130000 P(5) = 0.464614 Iter 79 CHI-SQUARE = 17794.628 DOF = 1068 P(0) = -37.3119 P(1) = -5.57350E-06 P(2) = 107.737 P(3) = 233.204 P(4) = 0.000130000 P(5) = 0.464143 Iter 80 CHI-SQUARE = 17794.611 DOF = 1068 P(0) = -37.2929 P(1) = -5.59788E-06 P(2) = 107.744 P(3) = 233.203 P(4) = 0.000130000 P(5) = 0.466782 Iter 81 CHI-SQUARE = 17794.588 DOF = 1068 P(0) = -37.4024 P(1) = -5.64601E-06 P(2) = 107.639 P(3) = 233.196 P(4) = 0.000130000 P(5) = 0.462081 Iter 82 CHI-SQUARE = 17794.549 DOF = 1068 P(0) = -37.2465 P(1) = -5.69388E-06 P(2) = 107.828 P(3) = 233.226 P(4) = 0.000130000 P(5) = 0.458630 Iter 83 CHI-SQUARE = 17794.510 DOF = 1068 P(0) = -37.2199 P(1) = -5.74333E-06 P(2) = 107.979 P(3) = 233.195 P(4) = 0.000130000 P(5) = 0.464211 Iter 84 CHI-SQUARE = 17794.430 DOF = 1068 P(0) = -37.3085 P(1) = -5.84293E-06 P(2) = 107.860 P(3) = 233.191 P(4) = 0.000130000 P(5) = 0.466511 Iter 85 CHI-SQUARE = 17794.414 DOF = 1068 P(0) = -37.1876 P(1) = -5.89719E-06 P(2) = 108.265 P(3) = 233.186 P(4) = 0.000130000 P(5) = 0.462111 Iter 86 CHI-SQUARE = 17794.366 DOF = 1068 P(0) = -37.3791 P(1) = -5.95084E-06 P(2) = 108.221 P(3) = 233.157 P(4) = 0.000130000 P(5) = 0.466730 Iter 87 CHI-SQUARE = 17794.319 DOF = 1068 P(0) = -37.4466 P(1) = -6.06344E-06 P(2) = 108.086 P(3) = 233.164 P(4) = 0.000130000 P(5) = 0.467806 Iter 88 CHI-SQUARE = 17794.262 DOF = 1068 P(0) = -37.1882 P(1) = -6.16838E-06 P(2) = 108.573 P(3) = 233.146 P(4) = 0.000130000 P(5) = 0.471534 Iter 89 CHI-SQUARE = 17794.260 DOF = 1068 P(0) = -37.3688 P(1) = -6.12831E-06 P(2) = 109.005 P(3) = 233.109 P(4) = 0.000130000 P(5) = 0.462121 Iter 90 CHI-SQUARE = 17794.239 DOF = 1068 P(0) = -37.2869 P(1) = -6.14932E-06 P(2) = 108.840 P(3) = 233.130 P(4) = 0.000130000 P(5) = 0.465218 Iter 91 CHI-SQUARE = 17794.217 DOF = 1068 P(0) = -37.2633 P(1) = -6.19399E-06 P(2) = 108.833 P(3) = 233.131 P(4) = 0.000130000 P(5) = 0.462434 Iter 92 CHI-SQUARE = 17794.197 DOF = 1068 P(0) = -37.2310 P(1) = -6.23883E-06 P(2) = 108.944 P(3) = 233.122 P(4) = 0.000130000 P(5) = 0.464979 Iter 93 CHI-SQUARE = 17794.168 DOF = 1068 P(0) = -37.3090 P(1) = -6.28345E-06 P(2) = 108.964 P(3) = 233.109 P(4) = 0.000130000 P(5) = 0.463198 Iter 94 CHI-SQUARE = 17794.160 DOF = 1068 P(0) = -37.4017 P(1) = -6.32756E-06 P(2) = 108.953 P(3) = 233.102 P(4) = 0.000130000 P(5) = 0.465335 Iter 95 CHI-SQUARE = 17794.152 DOF = 1068 P(0) = -37.3191 P(1) = -6.31414E-06 P(2) = 109.265 P(3) = 233.093 P(4) = 0.000130000 P(5) = 0.464382 Iter 96 CHI-SQUARE = 17794.146 DOF = 1068 P(0) = -37.2698 P(1) = -6.32869E-06 P(2) = 109.213 P(3) = 233.107 P(4) = 0.000130000 P(5) = 0.464617 Iter 97 CHI-SQUARE = 17794.145 DOF = 1068 P(0) = -37.2844 P(1) = -6.32741E-06 P(2) = 109.247 P(3) = 233.089 P(4) = 0.000130000 P(5) = 0.464852 Iter 98 CHI-SQUARE = 17794.144 DOF = 1068 P(0) = -37.2898 P(1) = -6.32914E-06 P(2) = 109.256 P(3) = 233.086 P(4) = 0.000130000 P(5) = 0.465022 Iter 99 CHI-SQUARE = 17794.143 DOF = 1068 P(0) = -37.2944 P(1) = -6.33090E-06 P(2) = 109.261 P(3) = 233.087 P(4) = 0.000130000 P(5) = 0.465246 Iter 100 CHI-SQUARE = 17794.141 DOF = 1068 P(0) = -37.2974 P(1) = -6.33456E-06 P(2) = 109.258 P(3) = 233.089 P(4) = 0.000130000 P(5) = 0.465242 Iter 101 CHI-SQUARE = 17794.140 DOF = 1068 P(0) = -37.2953 P(1) = -6.33823E-06 P(2) = 109.259 P(3) = 233.092 P(4) = 0.000130000 P(5) = 0.465122 Iter 102 CHI-SQUARE = 17794.138 DOF = 1068 P(0) = -37.3039 P(1) = -6.34168E-06 P(2) = 109.263 P(3) = 233.088 P(4) = 0.000130000 P(5) = 0.465254 Iter 103 CHI-SQUARE = 17794.135 DOF = 1068 P(0) = -37.3147 P(1) = -6.34869E-06 P(2) = 109.245 P(3) = 233.091 P(4) = 0.000130000 P(5) = 0.465720 Iter 104 CHI-SQUARE = 17794.129 DOF = 1068 P(0) = -37.3333 P(1) = -6.36283E-06 P(2) = 109.222 P(3) = 233.090 P(4) = 0.000130000 P(5) = 0.465739 Iter 105 CHI-SQUARE = 17794.115 DOF = 1068 P(0) = -37.3136 P(1) = -6.39137E-06 P(2) = 109.222 P(3) = 233.094 P(4) = 0.000130000 P(5) = 0.465334 Iter 105 CHI-SQUARE = 17794.115 DOF = 1068 P(0) = -37.3136 P(1) = -6.39137E-06 P(2) = 109.222 P(3) = 233.094 P(4) = 0.000130000 P(5) = 0.465334 FITMOONPLUSLINE: sdR-b1-00034589.fit: fit coeffs: -37.313607 -6.3913722e-06 109.22185 233.09403 0.00013000000 0.46533405 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034589.fit: changing 5460.94 correction from 0.0587476 to 0.066052006 pixels, err= 0.026649246 LOCATESKYLINES_2: sdR-b1-00034589.fit: applying 0.01 pixel correction to 0.05 0.06 0.63 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 FITMEANX: sdR-b1-00034589.fit: In skyline number 0 std-dev is 0.37755117 pix FITMEANX: sdR-b1-00034589.fit: In skyline number 1 std-dev is 0.092081828 pix FITMEANX: sdR-b1-00034589.fit: In skyline number 2 std-dev is 0.10337986 pix FITMEANX: sdR-b1-00034589.fit: In skyline number 3 std-dev is 0.019398737 pix FITMEANX: sdR-b1-00034589.fit: In skyline number 4 std-dev is 0.043358429 pix FITMEANX: sdR-b1-00034589.fit: In skyline number 5 std-dev is 0.10949798 pix LOCATESKYLINES_2: sdR-b1-00034589.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034589.fit: In sky feature at 4046.5600 coadded std-dev is 0.0816953 pix LOCATESKYLINES_2: sdR-b1-00034589.fit: In sky feature at 4358.3300 coadded std-dev is 0.0290323 pix LOCATESKYLINES_2: sdR-b1-00034589.fit: In sky feature at 5460.9400 coadded std-dev is 0.0266492 pix LOCATESKYLINES_2: sdR-b1-00034589.fit: In sky feature at 5577.3390 coadded std-dev is 0.00283851 pix LOCATESKYLINES_2: sdR-b1-00034589.fit: In sky feature at 5889.9500 coadded std-dev is 0.00871597 pix LOCATESKYLINES_2: sdR-b1-00034589.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034589.fit: Median arc shift = -0.0073915750 pix LOCATESKYLINES_2: sdR-b1-00034589.fit: Dispersion in arc shift = 0.069974005 pix LOCATESKYLINES_2: sdR-b1-00034589.fit: Maximum sky-line shift is 0.11780199 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Number of sky fibers = 21 ROW NITER SIG(med) CHI^2 .0000 9 0.89 0.64 .0001 2 0.89 0.89 .0002 2 0.89 1.33 .0003 2 0.89 0.92 .0004 2 0.89 0.83 .0005 1 0.89 0.99 .0006 2 0.89 1.26 .0007 11 0.89 0.44 .0008 1 0.89 0.08 .0009 2 0.89 1.23 .0010 2 0.89 0.76 .0011 3 0.89 1.19 .0012 4 0.89 0.69 .0013 2 0.89 0.83 .0014 2 0.89 0.67 .0015 1 0.89 0.31 .0016 4 0.89 1.44 .0017 2 0.89 0.09 .0018 11 0.89 0.56 .0019 7 0.89 0.89 .0020 3 0.91 1.21 .0021 4 0.91 0.83 .0022 3 0.91 1.08 .0023 2 0.91 1.32 .0024 9 0.91 0.66 .0025 2 0.91 1.03 .0026 1 0.91 0.52 .0027 2 0.91 0.73 .0028 1 0.91 0.05 .0029 9 0.91 0.45 .0030 5 0.91 1.04 .0031 2 0.91 0.77 .0032 1 0.91 0.10 .0033 7 0.91 0.68 .0034 2 0.91 1.19 .0035 3 0.91 1.26 .0036 10 0.91 0.31 .0037 3 0.91 2.07 .0038 5 0.91 1.02 .0039 4 0.91 0.75 .0040 2 0.91 1.27 .0041 2 0.91 1.43 .0042 3 0.91 1.48 .0043 1 0.91 0.09 .0044 1 0.91 0.07 .0045 2 0.91 1.36 .0046 2 0.91 0.91 .0047 2 0.91 1.34 .0048 4 0.91 1.70 .0049 2 0.91 0.99 .0050 3 0.91 1.39 .0051 2 0.91 1.18 .0052 4 0.91 1.19 .0053 4 0.91 1.05 .0054 2 0.91 0.92 .0055 3 0.91 0.94 .0056 4 0.91 0.85 .0057 3 0.91 1.49 .0058 4 0.91 1.02 .0059 3 0.91 0.73 .0060 1 0.88 0.25 .0061 1 0.88 0.12 .0062 1 0.88 0.16 .0063 1 0.88 0.16 .0064 1 0.88 0.18 .0065 1 0.88 0.09 .0066 3 0.88 1.40 .0067 1 0.88 0.11 .0068 1 0.88 0.12 .0069 1 0.88 0.16 .0070 1 0.88 0.08 .0071 10 0.88 0.62 .0072 1 0.88 0.07 .0073 2 0.88 0.16 .0074 1 0.88 0.10 .0075 1 0.88 0.24 .0076 3 0.88 0.94 .0077 8 0.88 0.92 .0078 1 0.88 0.08 .0079 7 0.88 0.76 .0080 2 0.90 1.30 .0081 2 0.90 0.99 .0082 3 0.90 0.85 .0083 4 0.90 1.00 .0084 8 0.90 0.86 .0085 2 0.90 1.02 .0086 4 0.90 1.39 .0087 2 0.90 1.31 .0088 3 0.90 0.85 .0089 1 0.90 0.09 .0090 0 0.90 0.00 .0091 1 0.90 0.09 .0092 2 0.90 0.61 .0093 4 0.90 1.16 .0094 9 0.90 0.67 .0095 1 0.90 0.06 .0096 4 0.90 0.99 .0097 3 0.90 0.92 .0098 3 0.90 0.78 .0099 5 0.90 1.05 .0100 1 0.90 0.12 .0101 1 0.90 0.07 .0102 1 0.90 0.12 .0103 1 0.90 0.15 .0104 1 0.90 0.17 .0105 1 0.90 0.10 .0106 1 0.90 0.24 .0107 1 0.90 0.18 .0108 1 0.90 0.29 .0109 1 0.90 0.12 .0110 1 0.90 0.09 .0111 1 0.90 0.11 .0112 1 0.90 0.14 .0113 1 0.90 0.24 .0114 1 0.90 0.13 .0115 1 0.90 0.18 .0116 1 0.90 0.13 .0117 1 0.90 0.22 .0118 1 0.90 0.16 .0119 1 0.90 0.12 .0120 9 0.92 0.81 .0121 10 0.92 0.65 .0122 3 0.92 0.81 .0123 1 0.92 0.08 .0124 1 0.92 0.07 .0125 9 0.92 0.62 .0126 1 0.92 0.10 .0127 2 0.92 1.11 .0128 2 0.92 1.17 .0129 1 0.92 0.80 .0130 4 0.92 1.37 .0131 3 0.92 2.02 .0132 4 0.92 1.17 .0133 10 0.92 0.37 .0134 1 0.92 0.07 .0135 3 0.92 0.90 .0136 4 0.92 1.27 .0137 11 0.92 0.33 .0138 7 0.92 0.82 .0139 8 0.92 1.11 .0140 1 0.93 0.10 .0141 1 0.93 0.11 .0142 1 0.93 0.10 .0143 1 0.93 0.11 .0144 1 0.93 0.12 .0145 1 0.93 0.16 .0146 1 0.93 0.11 .0147 1 0.93 0.26 .0148 1 0.93 0.09 .0149 2 0.93 1.19 .0150 1 0.93 0.11 .0151 1 0.93 0.13 .0152 1 0.93 0.23 .0153 1 0.93 0.26 .0154 1 0.93 0.09 .0155 1 0.93 0.11 .0156 1 0.93 0.11 .0157 1 0.93 0.11 .0158 1 0.93 0.09 .0159 1 0.93 0.16 .0160 1 0.93 0.11 .0161 1 0.93 0.13 .0162 1 0.93 0.16 .0163 1 0.93 0.12 .0164 1 0.93 0.11 .0165 1 0.93 0.10 .0166 1 0.93 0.13 .0167 1 0.93 0.11 .0168 1 0.93 0.17 .0169 1 0.93 0.10 .0170 1 0.93 0.10 .0171 1 0.93 0.11 .0172 1 0.93 0.15 .0173 1 0.93 0.13 .0174 1 0.93 0.12 .0175 1 0.93 0.10 .0176 1 0.93 0.10 .0177 1 0.93 0.11 .0178 1 0.93 0.09 .0179 1 0.93 0.08 .0180 2 0.94 1.26 .0181 1 0.94 0.35 .0182 1 0.94 0.13 .0183 1 0.94 0.11 .0184 2 0.94 0.12 .0185 1 0.94 0.14 .0186 1 0.94 0.16 .0187 1 0.94 0.12 .0188 1 0.94 0.13 .0189 1 0.94 0.11 .0190 1 0.94 0.14 .0191 1 0.94 0.11 .0192 1 0.94 0.12 .0193 1 0.94 0.18 .0194 2 0.94 0.88 .0195 1 0.94 0.11 .0196 1 0.94 0.11 .0197 6 0.94 0.50 .0198 1 0.94 0.14 .0199 1 0.94 0.22 .0200 2 0.93 1.10 .0201 4 0.93 1.83 .0202 5 0.93 0.72 .0203 1 0.93 0.08 .0204 3 0.93 1.05 .0205 2 0.93 0.76 .0206 1 0.93 0.52 .0207 5 0.93 0.88 .0208 1 0.93 0.71 .0209 4 0.93 0.80 .0210 4 0.93 0.93 .0211 10 0.93 0.53 .0212 3 0.93 0.84 .0213 3 0.93 0.72 .0214 3 0.93 1.07 .0215 2 0.93 0.85 .0216 1 0.93 0.09 .0217 9 0.93 1.08 .0218 1 0.93 0.09 .0219 6 0.93 1.19 .0220 6 0.94 1.09 .0221 1 0.94 0.19 .0222 3 0.94 1.27 .0223 2 0.94 0.12 .0224 7 0.94 0.72 .0225 2 0.94 1.02 .0226 3 0.94 1.12 .0227 3 0.94 1.14 .0228 9 0.94 0.51 .0229 1 0.94 0.18 .0230 1 0.94 0.13 .0231 6 0.94 0.78 .0232 2 0.94 0.19 .0233 1 0.94 0.18 .0234 1 0.94 0.10 .0235 1 0.94 0.09 .0236 1 0.94 0.09 .0237 1 0.94 0.24 .0238 1 0.94 0.12 .0239 3 0.94 0.17 .0240 1 0.95 0.95 .0241 8 0.95 0.67 .0242 1 0.95 0.29 .0243 4 0.95 0.76 .0244 4 0.95 0.93 .0245 1 0.95 0.08 .0246 2 0.95 0.85 .0247 2 0.95 0.89 .0248 2 0.95 0.91 .0249 2 0.95 1.32 .0250 2 0.95 1.08 .0251 0 0.95 0.00 .0252 4 0.95 0.90 .0253 8 0.95 0.72 .0254 2 0.95 1.22 .0255 1 0.95 0.08 .0256 1 0.95 0.84 .0257 8 0.95 0.73 .0258 2 0.95 1.31 .0259 1 0.95 1.01 .0260 10 0.97 0.50 .0261 2 0.97 0.80 .0262 1 0.97 0.07 .0263 2 0.97 1.36 .0264 10 0.97 0.65 .0265 10 0.97 0.30 .0266 2 0.97 0.35 .0267 3 0.97 0.08 .0268 3 0.97 0.86 .0269 6 0.97 0.75 .0270 3 0.97 1.21 .0271 7 0.97 1.08 .0272 9 0.97 0.97 .0273 1 0.97 0.08 .0274 8 0.97 0.30 .0275 6 0.97 0.95 .0276 10 0.97 0.35 .0277 2 0.97 1.05 .0278 4 0.97 0.80 .0279 1 0.97 0.39 .0280 3 0.95 1.27 .0281 2 0.95 0.70 .0282 4 0.95 0.80 .0283 1 0.95 0.13 .0284 2 0.95 0.86 .0285 3 0.95 0.65 .0286 1 0.95 0.57 .0287 3 0.95 0.70 .0288 4 0.95 0.82 .0289 1 0.95 0.08 .0290 11 0.95 0.39 .0291 2 0.95 1.04 .0292 1 0.95 0.61 .0293 2 0.95 0.77 .0294 0 0.95 0.00 .0295 10 0.95 0.52 .0296 2 0.95 0.99 .0297 7 0.95 0.72 .0298 3 0.95 1.05 .0299 2 0.95 0.60 .0300 3 0.97 0.71 .0301 1 0.97 0.73 .0302 1 0.97 0.56 .0303 11 0.97 0.32 .0304 2 0.97 0.77 .0305 4 0.97 0.69 .0306 2 0.97 0.89 .0307 6 0.97 0.93 .0308 1 0.97 0.59 .0309 5 0.97 0.90 .0310 10 0.97 0.57 .0311 1 0.97 0.07 .0312 5 0.97 1.30 .0313 10 0.97 0.51 .0314 1 0.97 0.09 .0315 8 0.97 0.78 .0316 9 0.97 0.64 .0317 1 0.97 0.09 .0318 5 0.97 0.76 .0319 3 0.97 0.79 EXTRACT_IMAGE: sdR-b1-00034589.fit: masked 984 pixels SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 0 median sigma(arc)= 0.86852176 sigma(sky)= -2096.5050 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 0 sigma^2(add)= 4395332.4 +/- 6026227.0 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 1 median sigma(arc)= 0.86873277 sigma(sky)= -1040.7671 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 1 sigma^2(add)= 1083195.3 +/- 7041468.4 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 2 median sigma(arc)= 0.88321950 sigma(sky)= 0.99414986 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 2 sigma^2(add)= 0.20825890 +/- 0.14382337 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 3 median sigma(arc)= 0.89038688 sigma(sky)= 0.96303365 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 3 sigma^2(add)= 0.20748610 +/- 0.39248231 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 4 median sigma(arc)= 1.0132913 sigma(sky)= 1.6431838 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 4 sigma^2(add)= 1.6732937 +/- 1.8124609 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 5 median sigma(arc)= 1.0702523 sigma(sky)= 194.22747 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Line # 5 sigma^2(add)= 1246029.2 +/- 1330764.3 SKYLINE_DISPERSION: sdR-b1-00034589.fit: Flexure sigma^2(add) = 0.049922726 +/- 0.24159638 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034589.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b1-00034589.fit: Heliocentric correction = 23.597654 km/s FITVACSET: sdR-b1-00034589.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034589.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034589.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034589.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b1-00034589.fit: Number of sky fibers = 21 SKYSUBTRACT: sdR-b1-00034589.fit: Airmass range = 1.29993 1.35059 SKYSUBTRACT: sdR-b1-00034589.fit: Discarding 0.00604539 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 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of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 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of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 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of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034589.fit: Median sky-residual chi2 = 2.84949 SKYSUBTRACT: sdR-b1-00034589.fit: Max sky-residual chi2 = 12.3544 EXTRACT_OBJECT: sdR-b1-00034589.fit: Calling skysubtract again; masked skyfibers 44 101 123 283 SKYSUBTRACT: sdR-b1-00034589.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-b1-00034589.fit: Airmass range = 1.29993 1.35059 SKYSUBTRACT: sdR-b1-00034589.fit: Discarding 0.00634766 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 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of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 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1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034589.fit: Median sky-residual chi2 = 1.76500 SKYSUBTRACT: sdR-b1-00034589.fit: Max sky-residual chi2 = 11.1767 QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 71 = 10.1992 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 79 = -12.6394 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 90 = 10.3941 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 125 = 18.2008 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 127 = 13.7059 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 204 = 17.6372 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 217 = 13.3225 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 246 = 18.9102 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 256 = 11.3764 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 263 = -41.6077 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 290 = -52.7330 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 312 = -21.8536 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 318 = 14.0924 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Median sky-residual chi = 1.34498 QAPLOT_SKYSUB: sdR-b1-00034589.fit: Max sky-residual chi = 4.03494 at 6104.4241 Ang SKYSUBTRACT: sdR-b1-00034589.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-b1-00034589.fit: Airmass range = 1.29993 1.35059 SKYSUBTRACT: sdR-b1-00034589.fit: Discarding 0.00634766 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 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Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 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Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034589.fit: Median sky-residual chi2 = 1.63352 SKYSUBTRACT: sdR-b1-00034589.fit: Max sky-residual chi2 = 9.32715 QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 79 = -15.8102 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 125 = 10.6113 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 135 = -15.2260 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 204 = 10.2542 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 246 = 17.2679 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 256 = 11.6008 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 263 = -39.4794 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 290 = -45.2531 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Warning: Median sky-sub flux in sky fiber 318 = 30.6462 electrons QAPLOT_SKYSUB: sdR-b1-00034589.fit: Median sky-residual chi = 1.29757 QAPLOT_SKYSUB: sdR-b1-00034589.fit: Max sky-residual chi = 3.10730 at 6104.4241 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b1-00034589.fit: Airmass range = 1.30 1.35 QAPLOT_SKYLINE: sdR-b1-00034589.fit: Flux dispersion for skyline 4359.5 = 12.73 % QAPLOT_SKYLINE: sdR-b1-00034589.fit: Airmass range = 1.30 1.35 QAPLOT_SKYLINE: sdR-b1-00034589.fit: Flux dispersion for skyline 5578.9 = 2.70 % SPADD_GUIDERINFO: sdR-b1-00034589.fit: Number of guider frames = 24 SPREDUCE: sdR-b1-00034589.fit: Elapsed time = 182. seconds SPREDUCE: sdR-b1-00034590.fit: Reading object sdR-b1-00034590.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034590.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034590.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034590.fit: Measured read-noise in DN for amp# 2 = 3.53397 SDSSPROC: sdR-b1-00034590.fit: Measured bias value in DN for amp# 2 = 1201.30 SDSSPROC: sdR-b1-00034590.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034590.fit: Amp #2 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: sdR-b1-00034590.fit: Measured read-noise in DN for amp# 3 = 2.89881 SDSSPROC: sdR-b1-00034590.fit: Measured bias value in DN for amp# 3 = 1026.92 SDSSPROC: sdR-b1-00034590.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034590.fit: Amp #3 Number of pix below bias-5*sigma= 1011. DN is 0 SDSSPROC: sdR-b1-00034590.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034590.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034590.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034590.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034590.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b1-00034590.fit: Science 25-th-percentile = 248.629 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b1-00034590.fit: Whopping fibers: 0 7 18 29 33 36 38 53 55 66 71 77 79 94 99 125 130 133 135 139 210 217 220 224 226 228 241 253 264 272 274 276 303 310 315 EXTRACT_OBJECT: sdR-b1-00034590.fit: Median counts in all fibers = 7327.52 EXTRACT_OBJECT: sdR-b1-00034590.fit: Number of bright fibers = 35 EXTRACT_OBJECT: sdR-b1-00034590.fit: Sky fiber median 686.447 EXTRACT_OBJECT: sdR-b1-00034590.fit: 5% and 95% count levels 371.543 21633.5 EXTRACT_OBJECT: sdR-b1-00034590.fit: WARNING: Disable whopping terms sdR-b1-00034590.fit MATCH_TRACE: sdR-b1-00034590.fit: Iteration: 0 Pixels Rejected: 17529 Finished? 0 MATCH_TRACE: sdR-b1-00034590.fit: Iteration: 1 Pixels Rejected: 299 Finished? 0 MATCH_TRACE: sdR-b1-00034590.fit: Iteration: 2 Pixels Rejected: 33 Finished? 0 MATCH_TRACE: sdR-b1-00034590.fit: Iteration: 3 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: sdR-b1-00034590.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b1-00034590.fit: Shifting traces by match_trace 0.0340576 EXTRACT_OBJECT: sdR-b1-00034590.fit: Extracting frame sdR-b1-00034590.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034590.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 2 0.93 4.62 .0004 4 0.93 4.92 .0005 3 0.93 4.51 .0006 2 0.93 4.93 .0007 2 0.93 5.09 .0008 3 0.93 5.20 .0009 2 0.93 5.16 .0010 3 0.93 5.71 .0011 3 0.93 5.54 .0012 2 0.93 5.32 .0013 2 0.93 5.63 .0014 2 0.93 6.00 .0015 2 0.93 5.38 .0016 2 0.93 6.01 .0017 2 0.93 5.84 .0018 2 0.93 6.21 .0019 1 0.93 5.82 .0020 1 0.93 6.02 .0021 1 0.94 6.04 .0022 2 0.94 6.25 .0023 1 0.94 6.20 .0024 3 0.94 6.43 .0025 1 0.94 6.34 .0026 3 0.94 6.48 .0027 1 0.94 7.23 .0028 2 0.94 6.49 .0029 2 0.94 7.42 .0030 2 0.94 6.84 .0031 2 0.94 6.86 .0032 1 0.94 7.20 .0033 1 0.94 7.25 .0034 1 0.94 7.80 .0035 1 0.94 7.13 .0036 2 0.94 7.41 .0037 2 0.94 7.17 .0038 1 0.94 7.93 .0039 3 0.94 7.68 .0040 2 0.94 7.92 .0041 1 0.94 7.42 .0042 1 0.94 7.49 .0043 2 0.94 7.70 .0044 3 0.94 7.51 .0045 1 0.94 7.75 .0046 1 0.94 7.71 .0047 2 0.94 7.60 .0048 1 0.94 7.88 .0049 1 0.94 7.41 .0050 1 0.94 7.77 .0051 2 0.94 8.52 .0052 2 0.94 8.16 .0053 1 0.94 7.88 .0054 2 0.94 7.94 .0055 1 0.94 8.00 .0056 1 0.94 8.22 .0057 1 0.94 8.08 .0058 2 0.94 8.02 .0059 2 0.94 8.58 .0060 1 0.94 8.15 .0061 2 0.94 8.11 .0062 2 0.94 8.07 .0063 1 0.94 8.30 .0064 1 0.94 8.04 .0065 1 0.94 8.01 .0066 2 0.94 7.99 .0067 1 0.95 8.07 .0068 2 0.95 7.96 .0069 1 0.95 8.90 .0070 2 0.95 8.39 .0071 1 0.95 8.44 .0072 2 0.95 8.69 .0073 2 0.95 8.26 .0074 1 0.95 8.50 .0075 1 0.95 8.07 .0076 1 0.95 8.36 .0077 1 0.95 8.20 .0078 2 0.95 7.98 .0079 1 0.95 8.37 .0080 1 0.95 7.93 .0081 1 0.95 8.51 .0082 3 0.95 8.46 .0083 2 0.95 8.12 .0084 1 0.95 8.09 .0085 3 0.95 8.45 .0086 2 0.95 8.33 .0087 2 0.95 8.32 .0088 2 0.95 8.48 .0089 1 0.95 9.35 .0090 1 0.95 8.89 .0091 2 0.95 8.30 .0092 2 0.95 8.53 .0093 3 0.95 8.88 .0094 1 0.95 8.59 .0095 1 0.95 8.25 .0096 1 0.95 8.34 .0097 3 0.95 8.90 .0098 2 0.95 8.99 .0099 2 0.95 8.57 .0100 3 0.95 9.07 .0101 4 0.95 9.18 .0102 2 0.95 9.08 .0103 1 0.95 8.69 .0104 2 0.95 8.59 .0105 1 0.95 8.46 .0106 1 0.95 8.16 .0107 1 0.95 8.17 .0108 1 0.95 8.54 .0109 1 0.95 8.59 .0110 2 0.95 8.39 .0111 1 0.95 8.84 .0112 2 0.95 8.68 .0113 2 0.95 8.25 .0114 2 0.95 8.26 .0115 1 0.95 8.50 .0116 2 0.95 8.56 .0117 3 0.95 8.28 .0118 2 0.95 7.79 .0119 2 0.95 7.87 .0120 2 0.95 8.30 .0121 2 0.95 8.65 .0122 1 0.95 8.14 .0123 1 0.95 8.25 .0124 2 0.95 7.97 .0125 3 0.95 7.93 .0126 1 0.96 8.46 .0127 1 0.96 7.91 .0128 3 0.96 8.29 .0129 2 0.96 8.11 .0130 1 0.96 7.91 .0131 1 0.96 7.90 .0132 4 0.96 8.67 .0133 2 0.96 8.61 .0134 2 0.96 8.69 .0135 2 0.96 8.26 .0136 2 0.96 8.85 .0137 2 0.96 9.00 .0138 2 0.96 7.93 .0139 2 0.96 7.99 .0140 2 0.96 8.46 .0141 2 0.96 7.71 .0142 1 0.96 7.86 .0143 2 0.96 8.09 .0144 2 0.96 8.05 .0145 3 0.96 8.00 .0146 3 0.96 8.23 .0147 1 0.96 7.86 .0148 1 0.96 8.06 .0149 3 0.96 8.16 .0150 3 0.96 7.66 .0151 1 0.96 7.63 .0152 1 0.96 8.08 .0153 2 0.96 8.03 .0154 2 0.96 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0.98 3.68 .1982 1 0.98 3.47 .1983 1 0.98 3.74 .1984 1 0.98 3.69 .1985 2 0.98 3.81 .1986 1 0.98 3.78 .1987 3 0.98 4.04 .1988 2 0.98 4.38 .1989 1 0.98 3.74 .1990 2 0.98 3.93 .1991 5 0.98 3.74 .1992 4 0.98 3.89 .1993 3 0.98 3.61 .1994 5 0.98 3.83 .1995 3 0.98 3.71 .1996 4 0.98 3.72 .1997 2 0.98 3.84 .1998 3 0.98 3.88 .1999 3 0.98 4.09 .2000 2 0.98 4.31 .2001 3 0.98 4.02 .2002 2 0.98 4.35 .2003 2 0.98 3.60 .2004 2 0.98 3.60 .2005 4 0.98 3.45 .2006 3 0.98 4.14 .2007 2 0.98 3.47 .2008 2 0.98 3.21 .2009 2 0.98 3.08 .2010 3 0.98 3.07 .2011 3 0.98 3.33 .2012 3 0.98 3.01 .2013 2 0.98 3.03 .2014 1 0.98 2.75 .2015 3 0.98 2.73 .2016 1 0.98 2.81 .2017 1 0.98 2.70 .2018 1 0.98 2.78 .2019 2 0.98 2.51 .2020 1 0.98 2.42 .2021 2 0.98 2.60 .2022 2 0.98 2.56 .2023 1 0.98 2.52 .2024 3 0.98 2.69 .2025 1 0.98 2.68 .2026 2 0.98 2.66 .2027 2 0.98 2.81 .2028 2 0.98 2.70 .2029 1 0.98 2.73 .2030 2 0.98 2.84 .2031 2 0.98 2.97 .2032 3 0.98 2.83 .2033 1 0.98 2.98 .2034 2 0.98 2.90 .2035 1 0.98 3.20 .2036 3 0.98 2.97 .2037 4 0.98 3.37 .2038 4 0.97 3.36 .2039 3 0.97 3.17 .2040 2 0.97 3.34 .2041 3 0.97 3.45 .2042 4 0.97 3.26 .2043 4 0.97 3.20 .2044 3 0.97 3.14 .2045 2 0.97 3.11 .2046 2 0.97 3.07 .2047 2 0.97 2.94 EXTRACT_IMAGE: sdR-b1-00034590.fit: masked 1735 pixels EXTRACT_OBJECT: sdR-b1-00034590.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034590.fit: WARNING: Scattered light median = 102.491 electrons QAPLOT_SCATLIGHT: sdR-b1-00034590.fit: WARNING: Scattered light max = 324.562 electrons EXTRACT_OBJECT: sdR-b1-00034590.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034590.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034590.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034590.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.02 0.07 Step 6 of 2080 0.62 64 0.03 0.13 Step 10 of 2080 0.61 64 0.03 0.16 Step 14 of 2080 0.61 64 0.03 0.15 Step 18 of 2080 0.61 64 0.03 0.13 Step 22 of 2080 0.61 64 0.03 0.11 Step 26 of 2080 0.61 64 0.03 0.12 Step 30 of 2080 0.61 64 0.03 0.13 Step 34 of 2080 0.61 64 0.03 0.12 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.03 0.12 Step 50 of 2080 0.61 64 0.03 0.13 Step 54 of 2080 0.61 64 0.03 0.12 Step 58 of 2080 0.61 64 0.03 0.12 Step 62 of 2080 0.61 64 0.03 0.11 Step 66 of 2080 0.61 64 0.03 0.11 Step 70 of 2080 0.61 64 0.03 0.11 Step 74 of 2080 0.61 64 0.03 0.11 Step 78 of 2080 0.61 64 0.03 0.11 Step 82 of 2080 0.61 64 0.03 0.12 Step 86 of 2080 0.61 64 0.03 0.12 Step 90 of 2080 0.60 64 0.03 0.13 Step 94 of 2080 0.60 64 0.03 0.12 Step 98 of 2080 0.60 64 0.03 0.11 Step 102 of 2080 0.60 64 0.03 0.12 Step 106 of 2080 0.60 64 0.03 0.11 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.03 0.11 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.02 0.12 Step 130 of 2080 0.60 64 0.03 0.12 Step 134 of 2080 0.60 64 0.02 0.11 Step 138 of 2080 0.60 64 0.03 0.12 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.03 0.12 Step 150 of 2080 0.60 64 0.03 0.11 Step 154 of 2080 0.60 64 0.03 0.11 Step 158 of 2080 0.60 64 0.03 0.12 Step 162 of 2080 0.60 64 0.03 0.11 Step 166 of 2080 0.60 64 0.03 0.12 Step 170 of 2080 0.59 64 0.02 0.11 Step 174 of 2080 0.59 64 0.02 0.11 Step 178 of 2080 0.59 64 0.03 0.11 Step 182 of 2080 0.59 64 0.03 0.12 Step 186 of 2080 0.59 64 0.03 0.12 Step 190 of 2080 0.59 64 0.03 0.12 Step 194 of 2080 0.59 64 0.03 0.12 Step 198 of 2080 0.59 64 0.03 0.12 Step 202 of 2080 0.59 64 0.03 0.12 Step 206 of 2080 0.59 64 0.03 0.12 Step 210 of 2080 0.59 64 0.03 0.13 Step 214 of 2080 0.59 64 0.03 0.12 Step 218 of 2080 0.59 64 0.03 0.12 Step 222 of 2080 0.59 64 0.03 0.12 Step 226 of 2080 0.59 64 0.03 0.12 Step 230 of 2080 0.59 64 0.03 0.13 Step 234 of 2080 0.59 64 0.03 0.12 Step 238 of 2080 0.59 64 0.03 0.12 Step 242 of 2080 0.59 64 0.03 0.12 Step 246 of 2080 0.59 64 0.03 0.12 Step 250 of 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0.12 Step 366 of 2080 0.57 64 0.03 0.12 Step 370 of 2080 0.57 64 0.03 0.11 Step 374 of 2080 0.57 64 0.03 0.12 Step 378 of 2080 0.57 64 0.03 0.12 Step 382 of 2080 0.57 64 0.03 0.13 Step 386 of 2080 0.57 64 0.03 0.12 Step 390 of 2080 0.57 64 0.03 0.12 Step 394 of 2080 0.57 64 0.03 0.12 Step 398 of 2080 0.57 64 0.03 0.14 Step 402 of 2080 0.57 64 0.03 0.12 Step 406 of 2080 0.57 64 0.03 0.12 Step 410 of 2080 0.57 64 0.03 0.12 Step 414 of 2080 0.56 64 0.03 0.12 Step 418 of 2080 0.56 64 0.03 0.13 Step 422 of 2080 0.56 64 0.03 0.12 Step 426 of 2080 0.56 64 0.03 0.12 Step 430 of 2080 0.56 64 0.03 0.12 Step 434 of 2080 0.56 64 0.03 0.11 Step 438 of 2080 0.56 64 0.03 0.13 Step 442 of 2080 0.56 64 0.02 0.11 Step 446 of 2080 0.56 64 0.02 0.11 Step 450 of 2080 0.56 64 0.02 0.11 Step 454 of 2080 0.56 64 0.02 0.12 Step 458 of 2080 0.56 64 0.02 0.11 Step 462 of 2080 0.56 64 0.02 0.12 Step 466 of 2080 0.56 64 0.03 0.12 Step 470 of 2080 0.56 64 0.03 0.14 Step 474 of 2080 0.56 64 0.04 0.15 Step 478 of 2080 0.56 64 0.04 0.15 Step 482 of 2080 0.56 64 0.04 0.14 Step 486 of 2080 0.56 64 0.03 0.14 Step 490 of 2080 0.56 64 0.03 0.14 Step 494 of 2080 0.55 64 0.05 0.15 Step 498 of 2080 0.55 64 0.04 0.12 Step 502 of 2080 0.55 64 0.03 0.11 Step 506 of 2080 0.55 64 0.03 0.13 Step 510 of 2080 0.55 64 0.04 0.14 Step 514 of 2080 0.55 64 0.04 0.14 Step 518 of 2080 0.55 64 0.04 0.13 Step 522 of 2080 0.55 64 0.04 0.13 Step 526 of 2080 0.55 64 0.05 0.15 Step 530 of 2080 0.55 64 0.03 0.12 Step 534 of 2080 0.55 64 0.03 0.12 Step 538 of 2080 0.55 64 0.03 0.12 Step 542 of 2080 0.55 64 0.03 0.12 Step 546 of 2080 0.55 64 0.02 0.12 Step 550 of 2080 0.55 64 0.02 0.11 Step 554 of 2080 0.55 64 0.02 0.11 Step 558 of 2080 0.55 64 0.02 0.11 Step 562 of 2080 0.55 64 0.02 0.11 Step 566 of 2080 0.55 64 0.02 0.12 Step 570 of 2080 0.55 64 0.03 0.13 Step 574 of 2080 0.54 64 0.03 0.13 Step 578 of 2080 0.54 64 0.03 0.13 Step 582 of 2080 0.54 64 0.03 0.13 Step 586 of 2080 0.54 64 0.03 0.12 Step 590 of 2080 0.54 64 0.04 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0.03 0.12 Step 1382 of 2080 0.45 64 0.03 0.13 Step 1386 of 2080 0.45 64 0.03 0.12 Step 1390 of 2080 0.45 64 0.03 0.13 Step 1394 of 2080 0.45 64 0.03 0.12 Step 1398 of 2080 0.45 64 0.03 0.12 Step 1402 of 2080 0.45 64 0.03 0.12 Step 1406 of 2080 0.45 64 0.03 0.11 Step 1410 of 2080 0.45 64 0.03 0.12 Step 1414 of 2080 0.45 64 0.03 0.11 Step 1418 of 2080 0.45 64 0.02 0.11 Step 1422 of 2080 0.45 64 0.03 0.11 Step 1426 of 2080 0.45 64 0.03 0.12 Step 1430 of 2080 0.45 64 0.04 0.13 Step 1434 of 2080 0.44 64 0.03 0.12 Step 1438 of 2080 0.44 64 0.03 0.12 Step 1442 of 2080 0.44 64 0.03 0.13 Step 1446 of 2080 0.44 64 0.03 0.12 Step 1450 of 2080 0.44 64 0.03 0.12 Step 1454 of 2080 0.44 64 0.03 0.12 Step 1458 of 2080 0.44 64 0.03 0.11 Step 1462 of 2080 0.44 64 0.03 0.12 Step 1466 of 2080 0.44 64 0.03 0.11 Step 1470 of 2080 0.44 64 0.03 0.13 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.02 0.12 Step 1482 of 2080 0.44 64 0.03 0.12 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 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of 2080 0.43 64 0.03 0.13 Step 1606 of 2080 0.43 64 0.04 0.12 Step 1610 of 2080 0.43 64 0.03 0.11 Step 1614 of 2080 0.43 64 0.03 0.12 Step 1618 of 2080 0.42 64 0.03 0.12 Step 1622 of 2080 0.42 64 0.03 0.13 Step 1626 of 2080 0.42 64 0.03 0.12 Step 1630 of 2080 0.42 64 0.03 0.12 Step 1634 of 2080 0.42 64 0.03 0.13 Step 1638 of 2080 0.42 64 0.03 0.12 Step 1642 of 2080 0.42 64 0.03 0.13 Step 1646 of 2080 0.42 64 0.04 0.14 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.04 0.13 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.03 0.12 Step 1674 of 2080 0.42 64 0.03 0.12 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.12 Step 1686 of 2080 0.42 64 0.03 0.11 Step 1690 of 2080 0.42 64 0.03 0.11 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.03 0.11 Step 1702 of 2080 0.42 64 0.03 0.12 Step 1706 of 2080 0.42 64 0.03 0.12 Step 1710 of 2080 0.41 64 0.03 0.12 Step 1714 of 2080 0.41 64 0.02 0.11 Step 1718 of 2080 0.41 64 0.02 0.11 Step 1722 of 2080 0.41 64 0.02 0.11 Step 1726 of 2080 0.41 64 0.02 0.11 Step 1730 of 2080 0.41 64 0.02 0.12 Step 1734 of 2080 0.41 64 0.02 0.11 Step 1738 of 2080 0.41 64 0.02 0.11 Step 1742 of 2080 0.41 64 0.02 0.12 Step 1746 of 2080 0.41 64 0.02 0.11 Step 1750 of 2080 0.41 64 0.02 0.12 Step 1754 of 2080 0.41 64 0.02 0.12 Step 1758 of 2080 0.41 64 0.03 0.12 Step 1762 of 2080 0.41 64 0.02 0.11 Step 1766 of 2080 0.41 64 0.02 0.12 Step 1770 of 2080 0.41 64 0.03 0.11 Step 1774 of 2080 0.41 64 0.03 0.11 Step 1778 of 2080 0.41 64 0.04 0.12 Step 1782 of 2080 0.41 64 0.04 0.12 Step 1786 of 2080 0.41 64 0.04 0.12 Step 1790 of 2080 0.41 64 0.05 0.13 Step 1794 of 2080 0.41 64 0.04 0.12 Step 1798 of 2080 0.41 64 0.04 0.13 Step 1802 of 2080 0.41 64 0.04 0.12 Step 1806 of 2080 0.40 64 0.03 0.12 Step 1810 of 2080 0.40 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.04 0.12 Step 1818 of 2080 0.40 64 0.03 0.13 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.04 0.12 Step 1830 of 2080 0.40 64 0.04 0.12 Step 1834 of 2080 0.40 64 0.04 0.13 Step 1838 of 2080 0.40 64 0.04 0.14 Step 1842 of 2080 0.40 64 0.03 0.12 Step 1846 of 2080 0.40 64 0.03 0.13 Step 1850 of 2080 0.40 64 0.03 0.14 Step 1854 of 2080 0.40 64 0.04 0.13 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.15 Step 1874 of 2080 0.40 64 0.03 0.14 Step 1878 of 2080 0.40 64 0.03 0.13 Step 1882 of 2080 0.40 64 0.04 0.13 Step 1886 of 2080 0.40 64 0.04 0.13 Step 1890 of 2080 0.40 64 0.04 0.13 Step 1894 of 2080 0.40 64 0.04 0.14 Step 1898 of 2080 0.40 64 0.04 0.13 Step 1902 of 2080 0.40 64 0.03 0.13 Step 1906 of 2080 0.39 64 0.03 0.15 Step 1910 of 2080 0.39 64 0.03 0.13 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.13 Step 1930 of 2080 0.39 64 0.04 0.12 Step 1934 of 2080 0.39 64 0.04 0.13 Step 1938 of 2080 0.39 64 0.04 0.12 Step 1942 of 2080 0.39 64 0.03 0.11 Step 1946 of 2080 0.39 64 0.03 0.11 Step 1950 of 2080 0.39 64 0.03 0.11 Step 1954 of 2080 0.39 64 0.02 0.11 Step 1958 of 2080 0.39 64 0.02 0.11 Step 1962 of 2080 0.39 64 0.03 0.14 Step 1966 of 2080 0.39 64 0.03 0.12 Step 1970 of 2080 0.39 64 0.04 0.13 Step 1974 of 2080 0.39 64 0.03 0.11 Step 1978 of 2080 0.39 64 0.03 0.11 Step 1982 of 2080 0.39 64 0.02 0.11 Step 1986 of 2080 0.39 64 0.04 0.13 Step 1990 of 2080 0.39 64 0.03 0.11 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.38 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.14 Step 2014 of 2080 0.38 64 0.03 0.14 Step 2018 of 2080 0.38 64 0.04 0.15 Step 2022 of 2080 0.38 64 0.04 0.15 Step 2026 of 2080 0.38 64 0.03 0.13 Step 2030 of 2080 0.38 64 0.03 0.13 Step 2034 of 2080 0.38 64 0.02 0.12 Step 2038 of 2080 0.38 64 0.03 0.13 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 32 0.02 0.06 Step 2050 of 2080 0.38 32 0.02 0.06 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.01 0.07 Step 2074 of 2080 0.38 32 0.01 0.06 Step 2078 of 2080 0.38 32 0.01 0.06 EXTRACT_OBJECT: sdR-b1-00034590.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 2 0.93 2.79 .0004 3 0.93 2.67 .0005 3 0.93 2.47 .0006 3 0.93 2.61 .0007 2 0.93 2.85 .0008 3 0.93 2.69 .0009 2 0.93 2.93 .0010 4 0.93 2.94 .0011 3 0.93 3.01 .0012 2 0.93 3.01 .0013 2 0.93 3.02 .0014 3 0.93 3.27 .0015 2 0.93 3.12 .0016 2 0.93 3.57 .0017 2 0.93 3.28 .0018 2 0.93 3.46 .0019 1 0.93 3.51 .0020 1 0.93 3.69 .0021 1 0.94 3.60 .0022 2 0.94 3.94 .0023 1 0.94 4.11 .0024 3 0.94 3.89 .0025 1 0.94 4.06 .0026 2 0.94 4.56 .0027 2 0.94 4.82 .0028 2 0.94 4.90 .0029 2 0.94 5.48 .0030 2 0.94 5.37 .0031 2 0.94 5.35 .0032 2 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0.98 1.52 .2031 3 0.98 1.50 .2032 3 0.98 1.45 .2033 1 0.98 1.59 .2034 2 0.98 1.48 .2035 2 0.98 1.43 .2036 2 0.98 1.57 .2037 4 0.98 1.81 .2038 4 0.97 1.78 .2039 3 0.97 1.64 .2040 3 0.97 1.59 .2041 4 0.97 1.66 .2042 5 0.97 1.66 .2043 3 0.97 1.77 .2044 3 0.97 1.67 .2045 2 0.97 1.61 .2046 3 0.97 1.58 .2047 2 0.97 1.54 EXTRACT_IMAGE: sdR-b1-00034590.fit: masked 2618 pixels EXTRACT_OBJECT: sdR-b1-00034590.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034590.fit: WARNING: Scattered light median = 25.3067 electrons QAPLOT_SCATLIGHT: sdR-b1-00034590.fit: WARNING: Scattered light max = 146.744 electrons EXTRACT_OBJECT: sdR-b1-00034590.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 2 0.93 12.01 .0004 5 0.93 9.54 .0005 3 0.93 7.55 .0006 2 0.93 6.99 .0007 2 0.93 6.70 .0008 3 0.93 6.09 .0009 2 0.93 6.10 .0010 3 0.93 5.65 .0011 3 0.93 5.46 .0012 2 0.93 5.10 .0013 2 0.93 4.74 .0014 3 0.93 4.56 .0015 2 0.93 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0.98 1.67 .2014 2 0.98 1.55 .2015 3 0.98 1.49 .2016 2 0.98 1.57 .2017 1 0.98 1.57 .2018 1 0.98 1.55 .2019 5 0.98 1.46 .2020 1 0.98 1.44 .2021 2 0.98 1.57 .2022 2 0.98 1.40 .2023 2 0.98 1.42 .2024 3 0.98 1.51 .2025 2 0.98 1.40 .2026 2 0.98 1.42 .2027 2 0.98 1.55 .2028 2 0.98 1.44 .2029 1 0.98 1.47 .2030 2 0.98 1.54 .2031 3 0.98 1.51 .2032 3 0.98 1.48 .2033 1 0.98 1.62 .2034 2 0.98 1.50 .2035 4 0.98 1.48 .2036 5 0.98 1.49 .2037 5 0.98 1.64 .2038 5 0.97 1.69 .2039 2 0.97 1.73 .2040 2 0.97 1.66 .2041 5 0.97 1.69 .2042 7 0.97 1.71 .2043 4 0.97 1.72 .2044 3 0.97 1.73 .2045 2 0.97 1.73 .2046 3 0.97 1.73 .2047 3 0.97 1.70 EXTRACT_IMAGE: sdR-b1-00034590.fit: masked 3875 pixels DIVIDEFLAT: sdR-b1-00034590.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034590.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034590.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034590.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034590.fit: Warning: Reject 448 low points in trace 279 DIVIDEFLAT: sdR-b1-00034590.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034590.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-b1-00034590.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034590.fit: sky shift reference line, offset: 5577.3390 0.00052164980 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 8 -0.25000000 -86.484367 0.0000000 1.0000000 -17.204618 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 17 0.63957081 -69.620875 -0.020498484 1.6658651 71.895408 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 28 0.55003696 -8.3476353 -0.18791288 0.83134406 116.08700 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 32 0.48109297 -19.409071 0.94205437 0.60000000 48.852409 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 43 0.45863409 -17.593498 -0.099569456 2.0000000 69.347721 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 44 0.42646801 0.89175450 0.0090199461 1.9986420 68.837505 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 70 1.5754373 5.1972079 0.34640410 0.81229448 83.799834 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 78 1.0992226 -21.007051 -0.068353518 1.0249017 87.757820 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 89 0.66149696 33.890917 0.059869969 0.97913321 64.014236 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 95 1.0991849 3.5063275 -0.078645832 0.91427656 62.983289 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 101 1.7656244 33.050325 -0.36096032 0.87875499 80.452216 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 123 3.0104958 18.015127 -0.21148873 1.0973837 97.559099 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 124 2.6880291 -3.1570572 -0.46646143 1.1735787 89.262375 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 126 0.53301369 -5.1851128 -0.57680846 1.0656330 92.565678 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 134 0.59249148 -19.722023 -0.52907199 2.0000000 56.264311 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 156 0.74593414 31.021612 -0.065841810 1.1700374 60.657491 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 203 1.4444373 12.007377 0.0081155098 0.74014694 91.706937 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 216 1.8910994 19.884770 -0.057047776 0.69625536 71.004792 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 218 0.96745688 3.4089937 -0.34735778 1.0161524 85.890970 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 245 1.1055799 19.072626 0.29445895 0.93894437 60.947629 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 255 0.90456892 16.380638 -0.17181947 1.4045359 52.714854 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 262 0.86886688 -3.6379411 -0.14619528 0.95522865 66.031510 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 267 0.22356866 -60.756287 0.047890981 2.0000000 85.674155 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 273 0.59654464 -44.104539 -0.10613164 0.84965710 113.76582 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 283 0.41615980 -20.092847 -0.67881788 1.1175873 86.207195 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 289 2.0394059 3.6283115 0.12970856 0.60000000 71.753475 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 311 1.0758755 -22.972686 -0.65586276 2.0000000 76.554382 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 314 0.78089952 -0.20500343 -0.27403998 0.84321716 83.179912 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 0 317 0.60243689 11.237604 -0.77481651 0.76855445 62.126755 LOCATESKYLINES_2: sdR-b1-00034590.fit: comb1 l,chi^2/dof,fit: 0 0.71604656 0.015212593 -0.16908668 0.99450230 0.93751991 LOCATESKYLINES_2: sdR-b1-00034590.fit: kept 198 of 198 points LOCATESKYLINES_2: sdR-b1-00034590.fit: offset, refoff, sigma: -0.168565-0.1690870.051527 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 8 0.68558247 -165.88328 0.047188877 1.4476004 200.09073 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 17 0.66405661 -186.51331 -0.032669517 1.6660869 231.70643 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 28 0.17245470 -104.36939 -0.086097643 1.1098558 215.71252 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 32 1.9343903 -124.49278 0.13753777 1.1901717 207.84358 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 43 1.8836912 -96.390830 -0.44086804 1.4621115 225.12007 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 44 1.1532005 -49.048884 -0.063414146 1.3898119 209.45932 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 70 1.6341788 -1.9346644 -0.12327498 1.1691118 208.65752 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 78 1.3135228 -21.273013 -0.17026500 1.0586460 235.91706 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 89 0.36264202 1.3476660 0.029906197 0.99662868 270.89036 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 95 4.6841286 14.574020 -0.24187130 1.1622653 195.60557 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 101 1.5530074 30.743865 -0.27123884 1.2513448 225.16029 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 123 1.1810797 25.664359 0.0043635495 1.2818088 222.29053 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 124 0.31010550 3.5440196 0.037987715 1.3264329 214.75212 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 126 0.64049907 0.25804742 0.21466569 0.99517666 217.87998 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 134 0.78371033 3.3819690 0.059051128 0.87652707 240.51484 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 156 0.70668998 42.670675 -0.12165720 1.1296870 211.76105 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 203 0.18638355 -19.925398 -0.18085000 1.6128846 177.80934 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 216 1.0239385 -7.0327493 -0.013274806 1.2535145 237.14747 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 218 0.79650830 -1.6130458 -0.059182176 1.0350712 236.54475 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 245 1.1020625 -13.851996 -0.044502050 1.4163062 194.73947 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 255 1.0549892 4.8095695 -0.031482651 1.0825541 243.58294 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 262 0.32241997 -44.974916 0.076558591 1.2075369 209.22658 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 267 0.46013718 -80.917463 -0.23932925 1.2189905 185.89652 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 273 0.88792468 -91.455049 -0.041791174 1.1944377 215.28060 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 283 1.9892857 -68.641115 -0.051330583 1.2381056 202.67016 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 289 1.1248703 -31.621517 -0.16164055 0.89438941 256.46314 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 311 1.2945269 -31.308091 -0.19534898 1.2507377 223.70867 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 314 0.089947674 -6.5324889 -0.13630350 1.3435012 168.58597 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 1 317 1.3126850 2.7877045 -0.051094630 1.1375503 222.39653 LOCATESKYLINES_2: sdR-b1-00034590.fit: comb1 l,chi^2/dof,fit: 1 1.1362233 0.0081432857 -0.072705031 1.1770864 0.98154265 LOCATESKYLINES_2: sdR-b1-00034590.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-b1-00034590.fit: offset, refoff, sigma: -0.072183-0.0727050.021611 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 8 -0.25000000 -275.93134 0.0000000 1.0000000 -0.81709683 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -383.93842 0.0000000 1.0000000 -83.450600 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 28 2.1387087 -252.72460 0.10567941 1.1381024 299.81963 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 32 0.82591655 -258.95365 0.11765725 1.0784632 260.69524 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 43 0.25546573 -191.62606 0.14218153 1.4872194 259.46930 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 44 0.73974626 -132.68470 -0.030773119 1.0711019 276.97769 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 70 3.2410550 13.421237 0.12174554 1.0104373 300.16688 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 78 1.3942655 -25.527665 -0.055484573 1.2088821 316.82144 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 89 1.2617907 -4.0496963 -0.047514921 1.2407386 278.92470 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 95 0.21626669 0.91146345 -0.076429287 0.85063129 312.58484 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 101 1.8596632 64.029688 0.033543130 1.0831963 305.93866 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 123 2.1724552 84.487063 0.33956559 1.2481864 245.69123 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 124 2.4882027 5.7626453 0.24544897 1.2147242 283.72401 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 126 0.95458619 7.2404141 0.022994394 1.1595922 282.68718 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 134 1.3691833 0.027367966 0.29917264 1.0749160 291.72683 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 156 2.4625228 75.908233 0.069721815 1.1879261 299.07825 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 203 0.28840478 23.055141 -0.019605069 1.0411373 329.83927 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 216 0.87999470 20.871685 -0.044107130 1.1908264 266.15728 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 218 0.86367503 0.95521169 -0.016517952 1.3147285 242.46433 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 245 0.36421339 -16.026359 0.079151657 1.5412304 310.84657 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 255 2.7559354 12.362165 0.12214786 1.2564918 274.08767 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 262 0.55965524 -31.203344 0.045770491 1.2879176 262.61525 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 267 0.33811476 -48.297502 0.10134890 1.0077510 299.39980 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 273 0.65320811 -80.190471 -0.050779771 1.0541379 294.47659 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 283 0.42336309 -32.866997 -0.026667413 1.0493508 259.75208 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 289 0.10728817 -30.049205 -0.13026785 0.89210869 310.20779 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 311 0.86107962 -24.051488 0.085690886 1.2534079 324.88838 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 314 1.3141913 6.7933762 0.082779456 1.2085887 273.17792 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 2 317 0.67886469 35.614771 0.099379303 0.99047847 257.65597 LOCATESKYLINES_2: sdR-b1-00034590.fit: comb1 l,chi^2/dof,fit: 2 1.0446180 0.0063305145 0.051591653 1.1417190 0.98415482 LOCATESKYLINES_2: sdR-b1-00034590.fit: kept 243 of 243 points LOCATESKYLINES_2: sdR-b1-00034590.fit: offset, refoff, sigma: 0.0521130.0515920.021008 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 8 6.9610870 -303.33088 0.028781079 0.93594933 3860.7137 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 17 9.3674232 -410.21295 0.030120165 0.93150478 3716.0382 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 28 1.8434501 -332.89801 0.026734818 0.92911221 3921.7945 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 32 5.3109881 -349.54546 -0.0039242216 0.91249869 3837.5119 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 43 6.3877445 -182.46270 0.0013657539 0.95760780 3616.0734 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 44 2.3145767 -135.49100 0.045124637 0.92103998 3833.9097 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 70 4.5812351 -43.634672 0.037080135 0.93440504 3728.4404 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 78 4.4679861 -11.048937 0.029392852 0.91223314 3809.8988 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 89 11.125479 -31.303197 0.057625734 0.94193616 3743.6984 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 95 1.7637702 -21.238707 0.024645777 0.96309121 3780.1342 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 101 3.3367591 45.446144 0.031953698 0.92581443 3774.1453 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 123 8.1690864 66.779827 0.067443610 0.93950199 3830.8678 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 124 4.0551745 1.3370079 0.046196506 1.0222004 3532.5616 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 126 7.3596914 9.1031290 0.060458465 0.96590233 3749.7104 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 134 1.6412416 36.553722 0.059919330 0.91938082 3769.1665 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 156 4.4353256 60.151614 0.056727505 0.97424610 3641.3582 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 203 3.6326642 -19.563843 0.054152343 0.97556830 3721.2029 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 216 3.3124454 -16.565475 0.068992774 0.93853116 3820.8791 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 218 7.2205778 1.8149180 0.077322370 1.0238946 3579.3350 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 245 3.3114247 32.391166 0.083272670 0.99334101 3632.1781 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 255 4.7357027 -10.056279 0.067206704 0.97339160 3709.9436 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 262 3.9182283 -63.189971 0.046724573 1.0158032 3516.5711 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 267 4.6141069 -111.31492 0.061410021 0.97472556 3604.8942 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 273 2.5693460 -131.32126 0.068355132 0.99829498 3590.4622 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 283 2.0814086 -73.741091 0.020096659 0.98286171 3708.3067 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 289 2.4884918 -35.730520 0.062399438 0.95713371 3796.7862 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 311 1.3753130 -42.465126 0.075311162 0.98904416 3714.5826 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 314 4.1853060 -23.056065 0.074006836 1.0262942 3602.6753 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 3 317 6.1510226 -12.048243 0.048493989 0.98572720 3716.4500 LOCATESKYLINES_2: sdR-b1-00034590.fit: comb1 l,chi^2/dof,fit: 3 4.1956361 0.00024595304 0.048259905 0.95879905 0.99965193 LOCATESKYLINES_2: sdR-b1-00034590.fit: sigma-clipped to 247 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034590.fit: comb2 l,chi^2/dof,fit: 3 2.6480845 0.00082255911 0.052088817 0.96654052 0.99257523 LOCATESKYLINES_2: sdR-b1-00034590.fit: kept 247 of 261 points LOCATESKYLINES_2: sdR-b1-00034590.fit: offset, refoff, sigma: 0.0526100.0520890.002798 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 8 36.128787 -135.48610 -0.066688152 0.79453754 775.92153 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 17 8.6645865 -237.46855 0.034555387 0.82503774 830.44986 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 28 24.431248 -181.03676 0.099001791 0.86036488 768.20697 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 32 17.046081 -191.18801 0.053555456 0.85865262 755.28658 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 43 287.26022 -82.275442 -0.75771635 0.60000000 5563.0809 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 44 26.878253 -44.029506 0.065728068 0.85996144 744.92113 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 70 30.363557 16.244939 0.018647742 0.93489070 789.01681 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 78 35.539252 73.592292 0.10057612 0.77748283 687.51178 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 89 24.845654 36.876101 0.068772015 0.88426168 806.63454 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 95 50.220477 81.179627 0.014266018 0.80472443 704.81637 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 101 52.683146 166.14768 0.049824085 0.79493021 787.43381 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 123 29.783662 110.77561 0.12469041 0.86483217 735.12332 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 124 22.664742 62.894826 0.076260440 0.88507199 696.32387 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 126 31.104736 41.477124 0.096992742 0.86317511 785.71848 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 134 26.941869 16.906005 0.095497918 0.90301692 719.95321 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 156 53.198104 196.37962 0.11244128 0.84554534 751.33114 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 203 25.723177 43.131631 0.10802428 0.90956334 734.06063 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 216 13.058353 21.981602 0.14251947 0.97257647 775.99223 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 218 36.721729 125.45104 0.10684419 0.76083954 657.27079 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 245 35.474241 124.10648 0.081978364 0.77608229 721.60320 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 255 31.749667 52.224994 0.17129943 0.87585620 743.66052 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 262 14.816956 42.694573 0.089698148 0.92267564 688.63513 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 267 21.282505 35.232794 0.079739698 0.82138662 749.95133 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 273 18.895555 -50.244084 0.13356418 1.0041809 737.55425 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 283 15.184463 16.844760 0.080589058 0.89334817 770.79600 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 289 33.402910 46.403286 0.045762167 0.87967977 733.04335 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 311 23.955633 35.854271 0.13650730 0.89068047 745.25247 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 314 26.211155 94.552645 0.099682152 0.85616860 684.20601 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 4 317 12.011874 30.794692 0.051069519 0.95832739 796.82500 LOCATESKYLINES_2: sdR-b1-00034590.fit: comb1 l,chi^2/dof,fit: 4 15.680205 0.00092692856 0.081887956 0.86818572 0.99495575 LOCATESKYLINES_2: sdR-b1-00034590.fit: sigma-clipped to 208 of 252 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034590.fit: comb2 l,chi^2/dof,fit: 4 2.0732689 -0.065333850 0.071453728 0.94445639 1.0413293 LOCATESKYLINES_2: sdR-b1-00034590.fit: kept 208 of 252 points LOCATESKYLINES_2: sdR-b1-00034590.fit: offset, refoff, sigma: 0.0719750.0714540.008162 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 8 58.377046 -82.417884 -0.048046251 0.60000000 487.50685 LOCATESKYLINES_2: sdR-b1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 17 39.191137 -179.22902 0.026558546 0.67836183 421.37719 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 28 31.622698 -164.70190 0.16025353 0.74151877 450.03994 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 32 39.833206 -151.57393 0.095069161 0.80666650 417.36443 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 43 395.55898 -94.002123 0.085419589 0.96402959 449.86222 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 44 39.072114 -45.229076 0.090975661 0.82548220 446.87179 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 70 80.386780 96.177916 0.078264420 0.80798779 405.07082 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 78 22.043566 5.5758065 0.061369423 0.92036566 497.29270 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 89 69.008822 55.174672 0.11763952 0.79516824 455.26574 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 95 84.080856 76.715021 0.18142100 0.77154434 450.09603 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 101 105.76423 178.48635 0.048805888 0.72278584 401.49432 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 123 34.073639 91.669811 0.071699740 0.75060115 514.03576 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 124 37.084011 55.069961 0.093053425 0.89570618 361.50270 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 126 36.595742 34.728744 0.21406168 0.79165971 444.07218 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 134 29.154319 17.203453 0.17100255 0.72078600 435.92731 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 156 47.872304 155.71707 0.23384081 0.87343405 478.95831 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 203 51.022069 72.803575 0.27297683 0.79052778 400.97124 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 216 69.065409 98.368597 0.050401332 0.69083457 440.31493 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 218 60.125959 104.98920 0.25163029 0.86011732 346.41812 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 245 19.344428 55.955996 0.17700902 0.90997900 438.64060 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 255 26.097316 54.930322 -0.0027241494 0.82132993 438.27562 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 262 34.567403 59.602526 0.039433903 0.80996872 387.96153 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 267 20.091185 -44.028042 0.044193369 0.88699542 486.50620 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 273 50.388914 7.9212749 0.077021623 0.79302940 383.58730 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 283 51.638771 34.634649 0.16188693 0.81606822 410.38918 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 289 76.444068 90.622959 0.050555245 0.71333458 332.53058 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 311 31.475677 46.412188 0.18778024 0.79919457 387.38264 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 314 25.064530 16.573351 0.13145444 1.0687867 424.01671 LOCATESKYLINES_2: sdR-b1-00034590.fit: l,f,chi^2/dof,c: 5 317 62.778844 108.12816 -0.041675861 0.73559952 434.36268 LOCATESKYLINES_2: sdR-b1-00034590.fit: trimmed 3high points: 0.24811380 1.2846661 1.1667184 LOCATESKYLINES_2: sdR-b1-00034590.fit: comb1 l,chi^2/dof,fit: 5 31.394487 -0.0049907908 0.11255431 0.81167674 1.0016642 LOCATESKYLINES_2: sdR-b1-00034590.fit: sigma-clipped to 205 of 249 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034590.fit: comb2 l,chi^2/dof,fit: 5 1.9669829 -0.12686999 0.12291567 0.94488118 1.0929874 LOCATESKYLINES_2: sdR-b1-00034590.fit: kept 205 of 249 points LOCATESKYLINES_2: sdR-b1-00034590.fit: offset, refoff, sigma: 0.1234370.1229160.011936 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 4702.1007 DOF = 1548 P(0) = 0.634103 P(1) = 0.00000 P(2) = 0.634103 P(3) = 0.634103 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 4197.6840 DOF = 1548 P(0) = 2.23957 P(1) = -4.52682E-05 P(2) = -3.99942 P(3) = 21.8593 P(4) = 0.000130000 P(5) = 0.0576657 Iter 3 CHI-SQUARE = 4015.4008 DOF = 1548 P(0) = 5.37472 P(1) = 0.000100187 P(2) = 13.1301 P(3) = 63.4899 P(4) = 0.000130000 P(5) = 0.0894582 Iter 4 CHI-SQUARE = 3799.0799 DOF = 1548 P(0) = 4.58531 P(1) = 9.75999E-06 P(2) = 10.0485 P(3) = 58.0917 P(4) = 0.000130000 P(5) = 0.141843 Iter 5 CHI-SQUARE = 3783.4263 DOF = 1548 P(0) = 3.26273 P(1) = 3.36415E-06 P(2) = 13.9878 P(3) = 68.1258 P(4) = 0.000130000 P(5) = 0.130163 Iter 6 CHI-SQUARE = 3781.1775 DOF = 1548 P(0) = 3.45690 P(1) = 4.35334E-06 P(2) = 14.0300 P(3) = 68.1677 P(4) = 0.000130000 P(5) = 0.153031 Iter 7 CHI-SQUARE = 3780.9904 DOF = 1548 P(0) = 3.08601 P(1) = 6.29751E-06 P(2) = 12.9685 P(3) = 67.9608 P(4) = 0.000130000 P(5) = 0.175543 Iter 8 CHI-SQUARE = 3780.5631 DOF = 1548 P(0) = 3.29310 P(1) = 5.49180E-06 P(2) = 13.5322 P(3) = 68.0230 P(4) = 0.000130000 P(5) = 0.169820 Iter 9 CHI-SQUARE = 3780.5013 DOF = 1548 P(0) = 3.38706 P(1) = 6.19938E-06 P(2) = 13.3645 P(3) = 67.9789 P(4) = 0.000130000 P(5) = 0.173190 Iter 10 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37466 P(1) = 6.23891E-06 P(2) = 13.3642 P(3) = 67.9742 P(4) = 0.000130000 P(5) = 0.172653 Iter 11 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37503 P(1) = 6.25391E-06 P(2) = 13.3678 P(3) = 67.9770 P(4) = 0.000130000 P(5) = 0.172617 Iter 12 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37520 P(1) = 6.24731E-06 P(2) = 13.3700 P(3) = 67.9782 P(4) = 0.000130000 P(5) = 0.172611 Iter 13 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37534 P(1) = 6.24401E-06 P(2) = 13.3713 P(3) = 67.9788 P(4) = 0.000130000 P(5) = 0.172609 Iter 14 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37543 P(1) = 6.24569E-06 P(2) = 13.3719 P(3) = 67.9791 P(4) = 0.000130000 P(5) = 0.172608 Iter 15 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37549 P(1) = 6.24647E-06 P(2) = 13.3723 P(3) = 67.9794 P(4) = 0.000130000 P(5) = 0.172608 Iter 16 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37549 P(1) = 6.24602E-06 P(2) = 13.3724 P(3) = 67.9794 P(4) = 0.000130000 P(5) = 0.172608 Iter 17 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37550 P(1) = 6.24581E-06 P(2) = 13.3724 P(3) = 67.9794 P(4) = 0.000130000 P(5) = 0.172608 Iter 18 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37551 P(1) = 6.24570E-06 P(2) = 13.3725 P(3) = 67.9794 P(4) = 0.000130000 P(5) = 0.172608 Iter 19 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37551 P(1) = 6.24575E-06 P(2) = 13.3725 P(3) = 67.9794 P(4) = 0.000130000 P(5) = 0.172608 Iter 20 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37551 P(1) = 6.24572E-06 P(2) = 13.3725 P(3) = 67.9794 P(4) = 0.000130000 P(5) = 0.172608 Iter 21 CHI-SQUARE = 3780.5001 DOF = 1548 P(0) = 3.37551 P(1) = 6.24573E-06 P(2) = 13.3725 P(3) = 67.9795 P(4) = 0.000130000 P(5) = 0.172608 FITMOONPLUSLINE: sdR-b1-00034590.fit: fit coeffs: 3.3755133 6.2457287e-06 13.372510 67.979454 0.00013000000 0.17260791 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034590.fit: changing 4046.58 correction from -0.168565 to -0.056501051 pixels, err= 0.072086972 Iter 1 CHI-SQUARE = 23889.051 DOF = 3199 P(0) = -11.1993 P(1) = 0.00000 P(2) = -11.1993 P(3) = -11.1993 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 18847.632 DOF = 3199 P(0) = -14.6659 P(1) = 1.67384E-05 P(2) = 10.9754 P(3) = 201.791 P(4) = 0.000130000 P(5) = -0.123852 Iter 3 CHI-SQUARE = 18837.214 DOF = 3199 P(0) = -14.6472 P(1) = 8.14229E-06 P(2) = 10.4326 P(3) = 202.095 P(4) = 0.000130000 P(5) = -0.122454 Iter 4 CHI-SQUARE = 18837.158 DOF = 3199 P(0) = -14.6716 P(1) = 8.44582E-06 P(2) = 10.6603 P(3) = 202.206 P(4) = 0.000130000 P(5) = -0.124105 Iter 4 CHI-SQUARE = 18837.158 DOF = 3199 P(0) = -14.6716 P(1) = 8.44582E-06 P(2) = 10.6603 P(3) = 202.206 P(4) = 0.000130000 P(5) = -0.124105 FITMOONPLUSLINE: sdR-b1-00034590.fit: fit coeffs: -14.671559 8.4458245e-06 10.660276 202.20614 0.00013000000 -0.12410488 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034590.fit: changing 4358.33 correction from -0.0721834 to -0.077963327 pixels, err= 0.026158089 Iter 1 CHI-SQUARE = 21001.797 DOF = 1068 P(0) = -13.8836 P(1) = 0.00000 P(2) = -13.8836 P(3) = -13.8836 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 17490.520 DOF = 1068 P(0) = -14.1511 P(1) = 6.25431E-05 P(2) = 134.698 P(3) = 99.8301 P(4) = 0.000130000 P(5) = 0.173219 Iter 3 CHI-SQUARE = 16649.544 DOF = 1068 P(0) = -47.0118 P(1) = -4.96528E-06 P(2) = 180.858 P(3) = 227.868 P(4) = 0.000130000 P(5) = 0.556990 Iter 4 CHI-SQUARE = 15832.012 DOF = 1068 P(0) = -20.2521 P(1) = -1.09319E-05 P(2) = 98.2782 P(3) = 256.399 P(4) = 0.000130000 P(5) = -0.0532173 Iter 5 CHI-SQUARE = 15777.566 DOF = 1068 P(0) = -19.2339 P(1) = -5.42030E-07 P(2) = 145.151 P(3) = 252.483 P(4) = 0.000130000 P(5) = 0.619626 Iter 6 CHI-SQUARE = 15727.998 DOF = 1068 P(0) = -21.6010 P(1) = -6.47771E-07 P(2) = 124.794 P(3) = 252.122 P(4) = 0.000130000 P(5) = 0.546446 Iter 7 CHI-SQUARE = 15701.240 DOF = 1068 P(0) = -25.0150 P(1) = -6.29431E-07 P(2) = 109.302 P(3) = 253.948 P(4) = 0.000130000 P(5) = 0.482137 Iter 8 CHI-SQUARE = 15700.947 DOF = 1068 P(0) = -25.2009 P(1) = -6.39018E-07 P(2) = 107.596 P(3) = 254.430 P(4) = 0.000130000 P(5) = 0.482211 Iter 9 CHI-SQUARE = 15700.731 DOF = 1068 P(0) = -25.4731 P(1) = -6.45050E-07 P(2) = 106.266 P(3) = 254.760 P(4) = 0.000130000 P(5) = 0.481053 Iter 10 CHI-SQUARE = 15700.702 DOF = 1068 P(0) = -25.4842 P(1) = -6.59324E-07 P(2) = 105.459 P(3) = 255.068 P(4) = 0.000130000 P(5) = 0.480088 Iter 11 CHI-SQUARE = 15700.659 DOF = 1068 P(0) = -25.5391 P(1) = -6.72897E-07 P(2) = 105.268 P(3) = 255.110 P(4) = 0.000130000 P(5) = 0.483816 Iter 12 CHI-SQUARE = 15700.622 DOF = 1068 P(0) = -25.5827 P(1) = -7.00419E-07 P(2) = 105.159 P(3) = 255.121 P(4) = 0.000130000 P(5) = 0.492212 Iter 13 CHI-SQUARE = 15700.610 DOF = 1068 P(0) = -25.6153 P(1) = -6.97492E-07 P(2) = 105.251 P(3) = 255.120 P(4) = 0.000130000 P(5) = 0.483684 Iter 14 CHI-SQUARE = 15700.607 DOF = 1068 P(0) = -25.5735 P(1) = -6.99150E-07 P(2) = 105.260 P(3) = 255.133 P(4) = 0.000130000 P(5) = 0.484659 Iter 15 CHI-SQUARE = 15700.607 DOF = 1068 P(0) = -25.5846 P(1) = -6.99021E-07 P(2) = 105.268 P(3) = 255.118 P(4) = 0.000130000 P(5) = 0.484535 Iter 16 CHI-SQUARE = 15700.606 DOF = 1068 P(0) = -25.5847 P(1) = -6.99472E-07 P(2) = 105.270 P(3) = 255.119 P(4) = 0.000130000 P(5) = 0.484570 Iter 17 CHI-SQUARE = 15700.604 DOF = 1068 P(0) = -25.6003 P(1) = -7.00257E-07 P(2) = 105.262 P(3) = 255.116 P(4) = 0.000130000 P(5) = 0.484738 Iter 17 CHI-SQUARE = 15700.604 DOF = 1068 P(0) = -25.6003 P(1) = -7.00257E-07 P(2) = 105.262 P(3) = 255.116 P(4) = 0.000130000 P(5) = 0.484738 FITMOONPLUSLINE: sdR-b1-00034590.fit: fit coeffs: -25.600257 -7.0025705e-07 105.26169 255.11645 0.00013000000 0.48473830 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034590.fit: changing 5460.94 correction from 0.0521133 to 0.0072368783 pixels, err= 0.019720718 LOCATESKYLINES_2: sdR-b1-00034590.fit: applying 0.03 pixel correction to 0.07 0.12 0.63 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 FITMEANX: sdR-b1-00034590.fit: In skyline number 0 std-dev is 0.29201607 pix FITMEANX: sdR-b1-00034590.fit: In skyline number 1 std-dev is 0.10331921 pix FITMEANX: sdR-b1-00034590.fit: In skyline number 2 std-dev is 0.071063701 pix FITMEANX: sdR-b1-00034590.fit: In skyline number 3 std-dev is 0.018426148 pix FITMEANX: sdR-b1-00034590.fit: In skyline number 4 std-dev is 0.044629234 pix FITMEANX: sdR-b1-00034590.fit: In skyline number 5 std-dev is 0.089781301 pix LOCATESKYLINES_2: sdR-b1-00034590.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034590.fit: In sky feature at 4046.5600 coadded std-dev is 0.0720870 pix LOCATESKYLINES_2: sdR-b1-00034590.fit: In sky feature at 4358.3300 coadded std-dev is 0.0261581 pix LOCATESKYLINES_2: sdR-b1-00034590.fit: In sky feature at 5460.9400 coadded std-dev is 0.0197207 pix LOCATESKYLINES_2: sdR-b1-00034590.fit: In sky feature at 5577.3390 coadded std-dev is 0.00279768 pix LOCATESKYLINES_2: sdR-b1-00034590.fit: In sky feature at 5889.9500 coadded std-dev is 0.00816150 pix LOCATESKYLINES_2: sdR-b1-00034590.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034590.fit: Median arc shift = -0.0010975694 pix LOCATESKYLINES_2: sdR-b1-00034590.fit: Dispersion in arc shift = 0.079638916 pix LOCATESKYLINES_2: sdR-b1-00034590.fit: Maximum sky-line shift is 0.12674068 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Number of sky fibers = 17 ROW NITER SIG(med) CHI^2 .0000 8 0.89 0.59 .0001 2 0.89 0.86 .0002 3 0.89 1.13 .0003 2 0.89 0.83 .0004 2 0.89 0.75 .0005 1 0.89 0.77 .0006 2 0.89 1.06 .0007 11 0.89 0.36 .0008 1 0.89 0.09 .0009 2 0.89 1.10 .0010 1 0.89 0.79 .0011 1 0.89 1.21 .0012 6 0.89 0.65 .0013 2 0.89 0.89 .0014 1 0.89 0.66 .0015 1 0.89 0.30 .0016 5 0.89 1.27 .0017 1 0.89 0.07 .0018 11 0.89 0.51 .0019 8 0.89 0.86 .0020 3 0.91 1.18 .0021 3 0.91 0.78 .0022 4 0.91 1.08 .0023 3 0.91 1.13 .0024 9 0.91 0.65 .0025 2 0.91 0.98 .0026 2 0.91 0.48 .0027 3 0.91 0.64 .0028 1 0.91 0.07 .0029 10 0.91 0.43 .0030 5 0.91 0.98 .0031 1 0.91 0.74 .0032 1 0.91 0.09 .0033 7 0.91 0.66 .0034 4 0.91 0.99 .0035 4 0.91 1.13 .0036 10 0.91 0.34 .0037 2 0.91 2.11 .0038 6 0.91 0.94 .0039 1 0.91 0.80 .0040 2 0.91 1.05 .0041 2 0.91 1.29 .0042 5 0.91 1.20 .0043 2 0.91 0.12 .0044 1 0.91 0.08 .0045 2 0.91 1.20 .0046 2 0.91 0.88 .0047 3 0.91 1.01 .0048 3 0.91 1.74 .0049 2 0.91 0.88 .0050 3 0.91 1.13 .0051 2 0.91 1.04 .0052 3 0.91 1.13 .0053 5 0.91 0.94 .0054 4 0.91 0.81 .0055 3 0.91 0.87 .0056 3 0.91 0.84 .0057 2 0.91 1.32 .0058 4 0.91 0.93 .0059 2 0.91 0.70 .0060 1 0.88 0.21 .0061 1 0.88 0.13 .0062 1 0.88 0.09 .0063 1 0.88 0.17 .0064 2 0.88 0.17 .0065 1 0.88 0.10 .0066 3 0.88 1.29 .0067 1 0.88 0.11 .0068 1 0.88 0.13 .0069 1 0.88 0.20 .0070 1 0.88 0.12 .0071 10 0.88 0.65 .0072 1 0.88 0.12 .0073 1 0.88 0.16 .0074 1 0.88 0.12 .0075 1 0.88 0.29 .0076 3 0.88 0.89 .0077 8 0.88 0.86 .0078 1 0.88 0.08 .0079 7 0.88 0.78 .0080 2 0.90 1.24 .0081 2 0.90 0.85 .0082 2 0.90 0.80 .0083 3 0.90 1.18 .0084 8 0.90 0.73 .0085 2 0.90 0.92 .0086 2 0.90 1.39 .0087 2 0.90 1.21 .0088 2 0.90 0.86 .0089 1 0.90 0.09 .0090 0 0.90 0.00 .0091 1 0.90 0.11 .0092 1 0.90 0.62 .0093 4 0.90 1.03 .0094 9 0.90 0.63 .0095 1 0.90 0.08 .0096 3 0.90 1.08 .0097 3 0.90 0.85 .0098 3 0.90 0.81 .0099 5 0.90 0.96 .0100 1 0.90 0.13 .0101 1 0.90 0.08 .0102 1 0.90 0.11 .0103 1 0.90 0.16 .0104 1 0.90 0.20 .0105 1 0.90 0.11 .0106 1 0.90 0.17 .0107 1 0.90 0.16 .0108 1 0.90 0.35 .0109 1 0.90 0.10 .0110 1 0.90 0.12 .0111 1 0.90 0.13 .0112 1 0.90 0.15 .0113 1 0.90 0.19 .0114 1 0.90 0.17 .0115 1 0.90 0.19 .0116 1 0.90 0.12 .0117 1 0.90 0.25 .0118 1 0.90 0.13 .0119 1 0.90 0.10 .0120 7 0.92 0.74 .0121 10 0.92 0.59 .0122 3 0.92 0.64 .0123 1 0.92 0.12 .0124 1 0.92 0.09 .0125 10 0.92 0.58 .0126 1 0.92 0.12 .0127 1 0.92 1.18 .0128 2 0.92 1.12 .0129 1 0.92 0.64 .0130 3 0.92 1.32 .0131 6 0.92 1.67 .0132 2 0.92 1.06 .0133 10 0.92 0.37 .0134 1 0.92 0.09 .0135 3 0.92 0.87 .0136 3 0.92 1.22 .0137 11 0.92 0.31 .0138 7 0.92 0.77 .0139 6 0.92 1.14 .0140 1 0.93 0.10 .0141 1 0.93 0.15 .0142 1 0.93 0.13 .0143 1 0.93 0.14 .0144 1 0.93 0.11 .0145 1 0.93 0.18 .0146 1 0.93 0.10 .0147 1 0.93 0.22 .0148 1 0.93 0.11 .0149 3 0.93 1.00 .0150 1 0.93 0.13 .0151 1 0.93 0.12 .0152 1 0.93 0.17 .0153 1 0.93 0.21 .0154 1 0.93 0.15 .0155 1 0.93 0.12 .0156 1 0.93 0.10 .0157 1 0.93 0.13 .0158 1 0.93 0.12 .0159 1 0.93 0.17 .0160 1 0.93 0.11 .0161 1 0.93 0.16 .0162 1 0.93 0.14 .0163 1 0.93 0.11 .0164 1 0.93 0.13 .0165 1 0.93 0.11 .0166 1 0.93 0.15 .0167 1 0.93 0.12 .0168 1 0.93 0.16 .0169 1 0.93 0.11 .0170 1 0.93 0.10 .0171 1 0.93 0.14 .0172 1 0.93 0.08 .0173 1 0.93 0.14 .0174 1 0.93 0.21 .0175 1 0.93 0.11 .0176 2 0.93 0.13 .0177 1 0.93 0.10 .0178 1 0.93 0.11 .0179 1 0.93 0.11 .0180 2 0.94 1.08 .0181 1 0.94 0.25 .0182 1 0.94 0.10 .0183 3 0.94 0.11 .0184 1 0.94 0.13 .0185 1 0.94 0.13 .0186 1 0.94 0.12 .0187 1 0.94 0.14 .0188 1 0.94 0.16 .0189 1 0.94 0.12 .0190 1 0.94 0.13 .0191 1 0.94 0.10 .0192 1 0.94 0.11 .0193 1 0.94 0.16 .0194 2 0.94 0.86 .0195 1 0.94 0.12 .0196 1 0.94 0.10 .0197 5 0.94 0.54 .0198 1 0.94 0.14 .0199 1 0.94 0.20 .0200 2 0.93 0.90 .0201 3 0.93 1.71 .0202 4 0.93 0.77 .0203 1 0.93 0.08 .0204 2 0.93 1.00 .0205 3 0.93 0.67 .0206 1 0.93 0.43 .0207 2 0.93 1.14 .0208 1 0.93 0.57 .0209 2 0.93 0.85 .0210 4 0.93 0.93 .0211 10 0.93 0.52 .0212 1 0.93 0.86 .0213 3 0.93 0.62 .0214 3 0.93 0.84 .0215 1 0.93 0.81 .0216 1 0.93 0.09 .0217 8 0.93 0.98 .0218 1 0.93 0.10 .0219 7 0.93 1.08 .0220 5 0.94 1.07 .0221 1 0.94 0.15 .0222 3 0.94 1.15 .0223 1 0.94 0.08 .0224 8 0.94 0.62 .0225 3 0.94 0.86 .0226 5 0.94 0.86 .0227 3 0.94 1.07 .0228 9 0.94 0.52 .0229 1 0.94 0.25 .0230 1 0.94 0.13 .0231 7 0.94 0.70 .0232 1 0.94 0.16 .0233 1 0.94 0.12 .0234 1 0.94 0.12 .0235 1 0.94 0.11 .0236 1 0.94 0.12 .0237 1 0.94 0.10 .0238 1 0.94 0.14 .0239 3 0.94 0.16 .0240 1 0.95 0.80 .0241 8 0.95 0.59 .0242 2 0.95 0.27 .0243 3 0.95 0.74 .0244 4 0.95 0.76 .0245 1 0.95 0.09 .0246 1 0.95 0.77 .0247 2 0.95 0.72 .0248 2 0.95 0.78 .0249 2 0.95 1.09 .0250 2 0.95 0.91 .0251 0 0.95 0.00 .0252 3 0.95 0.84 .0253 8 0.95 0.66 .0254 2 0.95 1.11 .0255 1 0.95 0.11 .0256 2 0.95 0.66 .0257 5 0.95 0.81 .0258 2 0.95 1.10 .0259 1 0.95 0.86 .0260 7 0.97 0.58 .0261 1 0.97 0.70 .0262 1 0.97 0.07 .0263 2 0.97 1.10 .0264 10 0.97 0.63 .0265 10 0.97 0.30 .0266 1 0.97 0.30 .0267 1 0.97 0.09 .0268 2 0.97 0.91 .0269 3 0.97 0.97 .0270 3 0.97 1.14 .0271 3 0.97 1.11 .0272 8 0.97 0.81 .0273 1 0.97 0.07 .0274 9 0.97 0.29 .0275 4 0.97 0.83 .0276 10 0.97 0.35 .0277 2 0.97 0.82 .0278 3 0.97 0.91 choldc failed 16 .0279 1 0.97 329.03 .0280 4 0.95 0.97 .0281 1 0.95 0.60 .0282 3 0.95 0.85 .0283 1 0.95 0.06 .0284 2 0.95 0.81 .0285 2 0.95 0.81 .0286 1 0.95 0.51 .0287 1 0.95 0.62 .0288 3 0.95 0.81 .0289 1 0.95 0.07 .0290 10 0.95 0.37 .0291 3 0.95 0.89 .0292 1 0.95 0.53 .0293 2 0.95 0.69 .0294 0 0.95 0.00 .0295 10 0.95 0.46 .0296 1 0.95 0.75 .0297 9 0.95 0.55 .0298 3 0.95 0.79 .0299 1 0.95 0.49 .0300 1 0.97 0.84 .0301 1 0.97 0.60 .0302 1 0.97 0.49 .0303 10 0.97 0.52 .0304 2 0.97 0.60 .0305 2 0.97 0.70 .0306 2 0.97 0.72 .0307 5 0.97 0.90 .0308 1 0.97 0.48 .0309 5 0.97 0.80 .0310 11 0.97 0.47 .0311 1 0.97 0.08 .0312 3 0.97 1.13 .0313 11 0.97 0.47 .0314 1 0.97 0.09 .0315 8 0.97 0.73 .0316 9 0.97 0.63 .0317 1 0.97 0.12 .0318 5 0.97 0.72 .0319 1 0.97 0.67 EXTRACT_IMAGE: sdR-b1-00034590.fit: masked 868 pixels SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 0 median sigma(arc)= 0.86852184 sigma(sky)= -1707.6428 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 0 sigma^2(add)= 2916043.0 +/- 3926278.2 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 1 median sigma(arc)= 0.86873286 sigma(sky)= -633.45290 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 1 sigma^2(add)= 401261.83 +/- 1067636.4 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 2 median sigma(arc)= 0.88321966 sigma(sky)= 1.0185588 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 2 sigma^2(add)= 0.25738448 +/- 0.13667201 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 3 median sigma(arc)= 0.89038699 sigma(sky)= 1.0180779 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 3 sigma^2(add)= 0.24369360 +/- 0.36129838 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 4 median sigma(arc)= 1.0132913 sigma(sky)= 1.3614071 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 4 sigma^2(add)= 1.3212631 +/- 1.4346079 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 5 median sigma(arc)= 1.0702525 sigma(sky)= 1.2001409 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Line # 5 sigma^2(add)= 469788.55 +/- 1241104.1 SKYLINE_DISPERSION: sdR-b1-00034590.fit: Flexure sigma^2(add) = 0.10895429 +/- 0.23459644 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034590.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b1-00034590.fit: Heliocentric correction = 23.611703 km/s FITVACSET: sdR-b1-00034590.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034590.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034590.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034590.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b1-00034590.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-b1-00034590.fit: Airmass range = 1.35258 1.41071 SKYSUBTRACT: sdR-b1-00034590.fit: Discarding 0.00611788 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 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1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034590.fit: Median sky-residual chi2 = 1.62037 SKYSUBTRACT: sdR-b1-00034590.fit: Max sky-residual chi2 = 7.49742 QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 79 = -14.6598 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 125 = 15.0277 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 127 = 10.5351 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 204 = 13.4918 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 217 = 10.0264 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 246 = 18.5963 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 263 = -33.7867 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 290 = -38.7848 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 312 = -19.9719 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 318 = 15.1376 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Median sky-residual chi = 1.27693 QAPLOT_SKYSUB: sdR-b1-00034590.fit: Max sky-residual chi = 2.96368 at 6108.2134 Ang SKYSUBTRACT: sdR-b1-00034590.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-b1-00034590.fit: Airmass range = 1.35258 1.41071 SKYSUBTRACT: sdR-b1-00034590.fit: Discarding 0.00611788 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 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Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034590.fit: Median sky-residual chi2 = 1.51640 SKYSUBTRACT: sdR-b1-00034590.fit: Max sky-residual chi2 = 8.97398 QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 79 = -15.6829 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 246 = 17.0125 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 263 = -32.8707 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 290 = -32.7150 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Warning: Median sky-sub flux in sky fiber 318 = 26.8776 electrons QAPLOT_SKYSUB: sdR-b1-00034590.fit: Median sky-residual chi = 1.25522 QAPLOT_SKYSUB: sdR-b1-00034590.fit: Max sky-residual chi = 2.85675 at 6108.2134 Ang % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b1-00034590.fit: Airmass range = 1.35 1.41 QAPLOT_SKYLINE: sdR-b1-00034590.fit: Flux dispersion for skyline 4359.5 = 13.41 % QAPLOT_SKYLINE: sdR-b1-00034590.fit: Airmass range = 1.35 1.41 QAPLOT_SKYLINE: sdR-b1-00034590.fit: Flux dispersion for skyline 5578.9 = 1.31 % SPADD_GUIDERINFO: sdR-b1-00034590.fit: Number of guider frames = 24 SPREDUCE: sdR-b1-00034590.fit: Elapsed time = 190. seconds % Compiled module: SP_ADJUST_B1_FLAT. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. % Compiled module: SELECT_CALIB_FILES. % Compiled module: FRAME_RATIOS. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 0 of 320 ( 0) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 1 of 320 ( 1) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 2 of 320 ( 2) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 3 of 320 ( 3) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 4 of 320 ( 4) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 5 of 320 ( 5) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 6 of 320 ( 6) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 7 of 320 ( 7) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 8 of 320 ( 8) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 9 of 320 ( 9) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 10 of 320 ( 10) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 11 of 320 ( 11) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 12 of 320 ( 12) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 13 of 320 ( 13) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 14 of 320 ( 14) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 15 of 320 ( 15) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 16 of 320 ( 16) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 17 of 320 ( 17) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 18 of 320 ( 18) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 19 of 320 ( 19) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 20 of 320 ( 20) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 21 of 320 ( 21) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 22 of 320 ( 22) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 23 of 320 ( 23) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 24 of 320 ( 24) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 25 of 320 ( 25) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 26 of 320 ( 26) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 27 of 320 ( 27) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 28 of 320 ( 28) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 29 of 320 ( 29) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 30 of 320 ( 30) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 31 of 320 ( 31) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 32 of 320 ( 32) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 33 of 320 ( 33) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 34 of 320 ( 34) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 35 of 320 ( 35) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 36 of 320 ( 36) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 37 of 320 ( 37) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 38 of 320 ( 38) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 39 of 320 ( 39) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 40 of 320 ( 40) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 41 of 320 ( 41) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 42 of 320 ( 42) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 43 of 320 ( 43) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 44 of 320 ( 44) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 45 of 320 ( 45) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 46 of 320 ( 46) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 47 of 320 ( 47) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 48 of 320 ( 48) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 49 of 320 ( 49) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 50 of 320 ( 50) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 51 of 320 ( 51) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 52 of 320 ( 52) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 53 of 320 ( 53) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 54 of 320 ( 54) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 55 of 320 ( 55) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 56 of 320 ( 56) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 57 of 320 ( 57) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 58 of 320 ( 58) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 59 of 320 ( 59) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 60 of 320 ( 60) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 61 of 320 ( 61) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 62 of 320 ( 62) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 63 of 320 ( 63) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 64 of 320 ( 64) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 65 of 320 ( 65) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 66 of 320 ( 66) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 67 of 320 ( 67) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 68 of 320 ( 68) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 69 of 320 ( 69) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 70 of 320 ( 70) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 71 of 320 ( 71) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 72 of 320 ( 72) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 73 of 320 ( 73) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 74 of 320 ( 74) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 75 of 320 ( 75) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 76 of 320 ( 76) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 77 of 320 ( 77) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 78 of 320 ( 78) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 79 of 320 ( 79) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 80 of 320 ( 80) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 81 of 320 ( 81) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 82 of 320 ( 82) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 83 of 320 ( 83) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 84 of 320 ( 84) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 85 of 320 ( 85) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 86 of 320 ( 86) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 87 of 320 ( 87) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 88 of 320 ( 88) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 89 of 320 ( 89) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 91 of 320 ( 91) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 92 of 320 ( 92) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 93 of 320 ( 93) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 94 of 320 ( 94) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 95 of 320 ( 95) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 96 of 320 ( 96) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 97 of 320 ( 97) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 98 of 320 ( 98) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 99 of 320 ( 99) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 100 of 320 ( 100) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 101 of 320 ( 101) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 102 of 320 ( 102) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 103 of 320 ( 103) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 104 of 320 ( 104) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 105 of 320 ( 105) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 106 of 320 ( 106) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 107 of 320 ( 107) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 108 of 320 ( 108) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 109 of 320 ( 109) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 110 of 320 ( 110) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 111 of 320 ( 111) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 112 of 320 ( 112) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 113 of 320 ( 113) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 114 of 320 ( 114) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 115 of 320 ( 115) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 116 of 320 ( 116) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 117 of 320 ( 117) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 118 of 320 ( 118) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 119 of 320 ( 119) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 120 of 320 ( 120) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 121 of 320 ( 121) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 122 of 320 ( 122) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 123 of 320 ( 123) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 124 of 320 ( 124) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 125 of 320 ( 125) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 126 of 320 ( 126) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 127 of 320 ( 127) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 128 of 320 ( 128) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 129 of 320 ( 129) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 130 of 320 ( 130) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 131 of 320 ( 131) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 132 of 320 ( 132) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 133 of 320 ( 133) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 134 of 320 ( 134) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 135 of 320 ( 135) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 136 of 320 ( 136) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 137 of 320 ( 137) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 138 of 320 ( 138) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 139 of 320 ( 139) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 140 of 320 ( 140) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 141 of 320 ( 141) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 142 of 320 ( 142) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 143 of 320 ( 143) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 144 of 320 ( 144) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 145 of 320 ( 145) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 146 of 320 ( 146) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 147 of 320 ( 147) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 148 of 320 ( 148) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 149 of 320 ( 149) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 150 of 320 ( 150) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 151 of 320 ( 151) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 152 of 320 ( 152) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 153 of 320 ( 153) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 154 of 320 ( 154) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 155 of 320 ( 155) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 156 of 320 ( 156) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 157 of 320 ( 157) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 158 of 320 ( 158) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 159 of 320 ( 159) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 160 of 320 ( 160) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 161 of 320 ( 161) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 162 of 320 ( 162) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 163 of 320 ( 163) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 164 of 320 ( 164) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 165 of 320 ( 165) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 166 of 320 ( 166) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 167 of 320 ( 167) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 168 of 320 ( 168) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 169 of 320 ( 169) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 170 of 320 ( 170) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 171 of 320 ( 171) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 172 of 320 ( 172) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 173 of 320 ( 173) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 174 of 320 ( 174) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 175 of 320 ( 175) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 176 of 320 ( 176) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 177 of 320 ( 177) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 178 of 320 ( 178) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 179 of 320 ( 179) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 180 of 320 ( 180) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 181 of 320 ( 181) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 182 of 320 ( 182) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 183 of 320 ( 183) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 184 of 320 ( 184) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 185 of 320 ( 185) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 186 of 320 ( 186) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 187 of 320 ( 187) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 188 of 320 ( 188) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 189 of 320 ( 189) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 190 of 320 ( 190) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 191 of 320 ( 191) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 192 of 320 ( 192) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 193 of 320 ( 193) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 194 of 320 ( 194) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 195 of 320 ( 195) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 196 of 320 ( 196) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 197 of 320 ( 197) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 198 of 320 ( 198) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 199 of 320 ( 199) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 200 of 320 ( 200) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 201 of 320 ( 201) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 202 of 320 ( 202) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 203 of 320 ( 203) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 204 of 320 ( 204) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 205 of 320 ( 205) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 206 of 320 ( 206) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 207 of 320 ( 207) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 208 of 320 ( 208) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 209 of 320 ( 209) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 210 of 320 ( 210) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 211 of 320 ( 211) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 212 of 320 ( 212) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 213 of 320 ( 213) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 214 of 320 ( 214) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 215 of 320 ( 215) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 216 of 320 ( 216) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 217 of 320 ( 217) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 218 of 320 ( 218) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 219 of 320 ( 219) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 220 of 320 ( 220) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 221 of 320 ( 221) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 222 of 320 ( 222) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 223 of 320 ( 223) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 224 of 320 ( 224) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 225 of 320 ( 225) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 226 of 320 ( 226) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 227 of 320 ( 227) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 228 of 320 ( 228) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 229 of 320 ( 229) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 230 of 320 ( 230) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 231 of 320 ( 231) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 232 of 320 ( 232) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 233 of 320 ( 233) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 234 of 320 ( 234) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 235 of 320 ( 235) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 236 of 320 ( 236) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 237 of 320 ( 237) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 238 of 320 ( 238) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 239 of 320 ( 239) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 240 of 320 ( 240) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 241 of 320 ( 241) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 242 of 320 ( 242) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 243 of 320 ( 243) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 244 of 320 ( 244) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 245 of 320 ( 245) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 246 of 320 ( 246) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 247 of 320 ( 247) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 248 of 320 ( 248) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 249 of 320 ( 249) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 250 of 320 ( 250) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 252 of 320 ( 252) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 253 of 320 ( 253) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 254 of 320 ( 254) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 255 of 320 ( 255) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 256 of 320 ( 256) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 257 of 320 ( 257) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 258 of 320 ( 258) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 259 of 320 ( 259) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 260 of 320 ( 260) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 261 of 320 ( 261) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 262 of 320 ( 262) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 263 of 320 ( 263) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 264 of 320 ( 264) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 265 of 320 ( 265) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 266 of 320 ( 266) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 267 of 320 ( 267) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 268 of 320 ( 268) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 269 of 320 ( 269) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 270 of 320 ( 270) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 271 of 320 ( 271) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 272 of 320 ( 272) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 273 of 320 ( 273) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 274 of 320 ( 274) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 275 of 320 ( 275) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 276 of 320 ( 276) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 277 of 320 ( 277) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 278 of 320 ( 278) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 279 of 320 ( 279) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 280 of 320 ( 280) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 281 of 320 ( 281) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 282 of 320 ( 282) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 283 of 320 ( 283) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 284 of 320 ( 284) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 285 of 320 ( 285) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 286 of 320 ( 286) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 287 of 320 ( 287) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 288 of 320 ( 288) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 289 of 320 ( 289) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 290 of 320 ( 290) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 291 of 320 ( 291) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 292 of 320 ( 292) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 293 of 320 ( 293) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 295 of 320 ( 295) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 296 of 320 ( 296) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 297 of 320 ( 297) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 298 of 320 ( 298) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 299 of 320 ( 299) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 300 of 320 ( 300) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 301 of 320 ( 301) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 302 of 320 ( 302) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 303 of 320 ( 303) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 304 of 320 ( 304) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 305 of 320 ( 305) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 306 of 320 ( 306) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 307 of 320 ( 307) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 308 of 320 ( 308) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 309 of 320 ( 309) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 310 of 320 ( 310) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 311 of 320 ( 311) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 312 of 320 ( 312) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 313 of 320 ( 313) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 314 of 320 ( 314) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 315 of 320 ( 315) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 316 of 320 ( 316) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 317 of 320 ( 317) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 318 of 320 ( 318) done. FRAME_RATIOS: sdR-b1-00034590.fit: 2338-53679 Trace 319 of 320 ( 319) done. % Compiled module: FIT_FLAT_SHIFT. % Compiled module: SPLYNE. Iter 1 CHI-SQUARE = 20999.577 DOF = 897 P(0) = 0.00000 P(1) = 1.00000 P(2) = 0.00000 Iter 2 CHI-SQUARE = 4717.1378 DOF = 897 P(0) = -0.0249818 P(1) = -0.548924 P(2) = -8.67259E-05 Iter 3 CHI-SQUARE = 4549.1781 DOF = 897 P(0) = -0.0249730 P(1) = -0.530900 P(2) = 9.82828E-05 Iter 4 CHI-SQUARE = 4472.8238 DOF = 897 P(0) = -0.0249910 P(1) = -0.565559 P(2) = 0.000222608 Iter 5 CHI-SQUARE = 4454.5315 DOF = 897 P(0) = -0.0249991 P(1) = -0.579418 P(2) = 0.000282527 Iter 6 CHI-SQUARE = 4450.6855 DOF = 897 P(0) = -0.0250012 P(1) = -0.582744 P(2) = 0.000310282 Iter 7 CHI-SQUARE = 4449.8967 DOF = 897 P(0) = -0.0250017 P(1) = -0.583464 P(2) = 0.000322910 Iter 8 CHI-SQUARE = 4449.7394 DOF = 897 P(0) = -0.0250018 P(1) = -0.583614 P(2) = 0.000328570 Iter 9 CHI-SQUARE = 4449.7089 DOF = 897 P(0) = -0.0250018 P(1) = -0.583643 P(2) = 0.000331062 Iter 10 CHI-SQUARE = 4449.7031 DOF = 897 P(0) = -0.0250018 P(1) = -0.583649 P(2) = 0.000332151 Iter 11 CHI-SQUARE = 4449.7020 DOF = 897 P(0) = -0.0250018 P(1) = -0.583650 P(2) = 0.000332626 Iter 12 CHI-SQUARE = 4449.7018 DOF = 897 P(0) = -0.0250018 P(1) = -0.583651 P(2) = 0.000332831 Iter 13 CHI-SQUARE = 4449.7018 DOF = 897 P(0) = -0.0250018 P(1) = -0.583651 P(2) = 0.000332921 Iter 14 CHI-SQUARE = 4449.7018 DOF = 897 P(0) = -0.0250018 P(1) = -0.583651 P(2) = 0.000332961 Iter 15 CHI-SQUARE = 4449.7018 DOF = 897 P(0) = -0.0250018 P(1) = -0.583651 P(2) = 0.000332978 Iter 16 CHI-SQUARE = 4449.7018 DOF = 897 P(0) = -0.0250018 P(1) = -0.583651 P(2) = 0.000332985 % Compiled module: GSMOOTH. % Compiled module: INT_TABULATED. % Compiled module: FIT_LOGLAM_SHIFT. % Compiled module: GET_TIMES. % Compiled module: SPLYNE_NRATIO. % Compiled module: SPLYNE_SHIFT_MEAN. Iter 1 CHI-SQUARE = 122004.16 DOF = 1599 P(0) = 0.00000 % Compiled module: SVDFIT. % Compiled module: SVDFUNCT. % Program caused arithmetic error: Floating divide by 0 % Program caused arithmetic error: Floating underflow % Program caused arithmetic error: Floating overflow % Program caused arithmetic error: Floating illegal operand Iter 2 CHI-SQUARE = 121991.95 DOF = 1599 P(0) = 1.55787E-08 Iter 3 CHI-SQUARE = 121991.90 DOF = 1599 P(0) = 1.44932E-08 Iter 4 CHI-SQUARE = 121991.90 DOF = 1599 P(0) = 1.45572E-08 Iter 5 CHI-SQUARE = 121991.90 DOF = 1599 P(0) = 1.46559E-08 Iter 6 CHI-SQUARE = 121991.90 DOF = 1599 P(0) = 1.46425E-08 Iter 6 CHI-SQUARE = 121991.90 DOF = 1599 P(0) = 1.46425E-08 Iter 1 CHI-SQUARE = 121991.90 DOF = 1599 P(0) = 1.46425E-08 Iter 1 CHI-SQUARE = 121991.90 DOF = 1599 P(0) = 1.46425E-08 % Compiled module: WRITE_QC_DATA. % Compiled module: GUESS_SHIFTS. % Compiled module: SHIFT2FIDUCIAL. % Compiled module: MAKE_POSTFLAT. % Compiled module: COS_TAPER_MASK. MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 0 of 320 ( 0) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 1 of 320 ( 1) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 2 of 320 ( 2) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 3 of 320 ( 3) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 4 of 320 ( 4) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 5 of 320 ( 5) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 6 of 320 ( 6) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 7 of 320 ( 7) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 8 of 320 ( 8) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 9 of 320 ( 9) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 10 of 320 ( 10) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 11 of 320 ( 11) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 12 of 320 ( 12) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 13 of 320 ( 13) MAKE_POSTFLAT: sdR-b1-00034590.fit: 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( 113) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 114 of 320 ( 114) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 115 of 320 ( 115) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 116 of 320 ( 116) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 117 of 320 ( 117) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 118 of 320 ( 118) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 119 of 320 ( 119) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 120 of 320 ( 120) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 121 of 320 ( 121) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 122 of 320 ( 122) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 123 of 320 ( 123) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 124 of 320 ( 124) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 125 of 320 ( 125) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 126 of 320 ( 126) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 127 of 320 ( 127) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 128 of 320 ( 128) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 129 of 320 ( 129) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 130 of 320 ( 130) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 131 of 320 ( 131) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 132 of 320 ( 132) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 133 of 320 ( 133) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 134 of 320 ( 134) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 135 of 320 ( 135) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 136 of 320 ( 136) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 137 of 320 ( 137) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 138 of 320 ( 138) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 139 of 320 ( 139) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 140 of 320 ( 140) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 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2338-53679 trace: 155 of 320 ( 155) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 156 of 320 ( 156) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 157 of 320 ( 157) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 158 of 320 ( 158) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 159 of 320 ( 159) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 160 of 320 ( 160) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 161 of 320 ( 161) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 162 of 320 ( 162) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 163 of 320 ( 163) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 164 of 320 ( 164) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 165 of 320 ( 165) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 166 of 320 ( 166) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 167 of 320 ( 167) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 168 of 320 ( 168) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 169 of 320 ( 169) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 170 of 320 ( 170) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 171 of 320 ( 171) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 172 of 320 ( 172) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 173 of 320 ( 173) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 174 of 320 ( 174) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 175 of 320 ( 175) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 176 of 320 ( 176) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 177 of 320 ( 177) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 178 of 320 ( 178) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 179 of 320 ( 179) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 180 of 320 ( 180) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 181 of 320 ( 181) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 182 of 320 ( 182) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 183 of 320 ( 183) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 184 of 320 ( 184) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 185 of 320 ( 185) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 186 of 320 ( 186) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 187 of 320 ( 187) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 188 of 320 ( 188) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 189 of 320 ( 189) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 190 of 320 ( 190) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 191 of 320 ( 191) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 192 of 320 ( 192) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 193 of 320 ( 193) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 194 of 320 ( 194) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 195 of 320 ( 195) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 196 of 320 ( 196) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 197 of 320 ( 197) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 198 of 320 ( 198) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 199 of 320 ( 199) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 200 of 320 ( 200) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 201 of 320 ( 201) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 202 of 320 ( 202) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 203 of 320 ( 203) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 204 of 320 ( 204) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 205 of 320 ( 205) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 206 of 320 ( 206) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 207 of 320 ( 207) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 208 of 320 ( 208) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 209 of 320 ( 209) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 210 of 320 ( 210) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 211 of 320 ( 211) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 212 of 320 ( 212) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 213 of 320 ( 213) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 214 of 320 ( 214) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 215 of 320 ( 215) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 216 of 320 ( 216) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 217 of 320 ( 217) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 218 of 320 ( 218) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 219 of 320 ( 219) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 220 of 320 ( 220) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 221 of 320 ( 221) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 222 of 320 ( 222) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 223 of 320 ( 223) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 224 of 320 ( 224) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 225 of 320 ( 225) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 226 of 320 ( 226) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 227 of 320 ( 227) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 228 of 320 ( 228) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 229 of 320 ( 229) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 230 of 320 ( 230) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 231 of 320 ( 231) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 232 of 320 ( 232) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 233 of 320 ( 233) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 234 of 320 ( 234) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 235 of 320 ( 235) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 236 of 320 ( 236) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 237 of 320 ( 237) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 238 of 320 ( 238) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 239 of 320 ( 239) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 240 of 320 ( 240) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 241 of 320 ( 241) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 242 of 320 ( 242) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 243 of 320 ( 243) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 244 of 320 ( 244) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 245 of 320 ( 245) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 246 of 320 ( 246) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 247 of 320 ( 247) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 248 of 320 ( 248) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 249 of 320 ( 249) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 250 of 320 ( 250) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 251 of 320 ( 251) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 252 of 320 ( 252) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 253 of 320 ( 253) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 254 of 320 ( 254) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 255 of 320 ( 255) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 256 of 320 ( 256) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 257 of 320 ( 257) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 258 of 320 ( 258) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 259 of 320 ( 259) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 260 of 320 ( 260) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 261 of 320 ( 261) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 262 of 320 ( 262) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 263 of 320 ( 263) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 264 of 320 ( 264) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 265 of 320 ( 265) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 266 of 320 ( 266) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 267 of 320 ( 267) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 268 of 320 ( 268) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 269 of 320 ( 269) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 270 of 320 ( 270) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 271 of 320 ( 271) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 272 of 320 ( 272) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 273 of 320 ( 273) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 274 of 320 ( 274) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 275 of 320 ( 275) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 276 of 320 ( 276) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 277 of 320 ( 277) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 278 of 320 ( 278) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 279 of 320 ( 279) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 280 of 320 ( 280) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 281 of 320 ( 281) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 282 of 320 ( 282) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 283 of 320 ( 283) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 284 of 320 ( 284) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 285 of 320 ( 285) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 286 of 320 ( 286) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 287 of 320 ( 287) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 288 of 320 ( 288) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 289 of 320 ( 289) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 290 of 320 ( 290) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 291 of 320 ( 291) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 292 of 320 ( 292) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 293 of 320 ( 293) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 294 of 320 ( 294) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 295 of 320 ( 295) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 296 of 320 ( 296) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 297 of 320 ( 297) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 298 of 320 ( 298) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 299 of 320 ( 299) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 300 of 320 ( 300) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 301 of 320 ( 301) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 302 of 320 ( 302) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 303 of 320 ( 303) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 304 of 320 ( 304) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 305 of 320 ( 305) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 306 of 320 ( 306) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 307 of 320 ( 307) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 308 of 320 ( 308) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 309 of 320 ( 309) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 310 of 320 ( 310) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 311 of 320 ( 311) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 312 of 320 ( 312) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 313 of 320 ( 313) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 314 of 320 ( 314) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 315 of 320 ( 315) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 316 of 320 ( 316) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 317 of 320 ( 317) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 318 of 320 ( 318) MAKE_POSTFLAT: sdR-b1-00034590.fit: 2338-53679 trace: 319 of 320 ( 319) % Compiled module: POSTFLATTEN. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 1241. seconds SPREDUCE2D: Time to reduce camera b1 = 1241. seconds READPLUGMAP: b2: Rescaling SCI_EXPTIME values by 600.10000 READPLUGMAP: b2: Adding fields from calibObj file READPLUGMAP: b2: LIED about EBV. Set to 0.3 PLUG2TSOBJ: b2: WARNING: calibObj file not found for plate 2338 READPLUGMAP: b2: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: b2: Number of missing fibers: 4 SPCALIB: b2: Tracing flat # 1 of 2 SPCALIB: b2: Reading flat sdR-b2-00034585.fit MRDFITS: Image array (2128,2069) Type=Int*2 % Compiled module: FITS_WAIT. MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opECalib-51577.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.82991 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1232.71 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1213. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.39000 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1204.20 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1187. DN is 0 SDSSPROC: b2: Number of bleading columns = 2 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Tracing 320 fibers in sdR-b2-00034585.fit TRACE320CEN: b2: Big gap at fiber= 20, x= 138.62, dx= 8.03 TRACE320CEN: b2: Big gap at fiber= 40, x= 265.85, dx= 9.21 TRACE320CEN: b2: Big gap at fiber= 60, x= 391.26, dx= 8.00 TRACE320CEN: b2: Big gap at fiber= 80, x= 516.74, dx= 8.29 TRACE320CEN: b2: Big gap at fiber= 100, x= 641.94, dx= 8.25 TRACE320CEN: b2: Big gap at fiber= 160, x=1014.34, dx= 8.24 TRACE320CEN: b2: Big gap at fiber= 200, x=1262.37, dx= 7.92 TRACE320CEN: b2: Big gap at fiber= 220, x=1387.33, dx= 8.19 TRACE320CEN: b2: Big gap at fiber= 240, x=1512.02, dx= 7.88 TRACE320CEN: b2: Big gap at fiber= 260, x=1637.56, dx= 8.13 TRACE320CEN: b2: Big gap at fiber= 280, x=1762.89, dx= 8.05 TRACE320CEN: b2: Big gap at fiber= 300, x=1890.18, dx= 9.35 TRACE320CRUDE: b2: Warning: Fixing traces: 87 111 202 241 263 292 311 SPCALIB: b2: Fitting traces in sdR-b2-00034585.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 2 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 68 23 2048 62 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 1 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 1 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 68 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 4 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 12 89 2048 3 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 1 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 2 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 4 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 25 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 4 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 1 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 1 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 259 SPCALIB: b2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 1 1.00 1.28 .0001 1 1.00 1.12 .0002 1 1.00 1.09 .0003 1 1.00 1.06 .0004 1 1.00 1.11 .0005 1 1.00 1.12 .0006 1 1.00 1.14 .0007 1 1.00 1.09 .0008 1 1.00 1.10 .0009 1 1.00 1.16 .0010 1 1.00 1.05 .0011 1 1.00 1.08 .0012 1 1.00 1.15 .0013 1 1.00 1.19 .0014 1 1.00 1.06 .0015 1 1.00 1.20 .0016 1 1.00 1.14 .0017 1 1.00 1.13 .0018 1 1.00 1.10 .0019 1 1.00 1.08 .0020 1 1.00 1.10 .0021 1 1.00 1.09 .0022 1 1.00 1.10 .0023 1 1.00 1.06 .0024 1 1.00 1.14 .0025 1 1.00 1.01 .0026 1 1.00 1.11 .0027 1 1.00 1.00 .0028 1 1.00 1.00 .0029 1 1.00 1.10 .0030 1 1.00 1.13 .0031 1 1.00 1.13 .0032 1 1.00 1.07 .0033 1 1.00 1.08 .0034 1 1.00 1.07 .0035 1 1.00 0.99 .0036 1 1.00 1.13 .0037 1 1.00 1.16 .0038 1 1.00 1.11 .0039 1 1.00 1.09 .0040 1 1.00 1.02 .0041 1 1.00 1.09 .0042 1 1.00 1.05 .0043 1 1.00 1.12 .0044 1 1.00 1.12 .0045 1 1.00 1.01 .0046 1 1.00 1.10 .0047 1 1.00 1.04 .0048 1 1.00 1.07 .0049 1 1.00 1.01 .0050 1 1.00 1.06 .0051 3 1.00 0.98 .0052 3 1.00 1.01 .0053 1 1.00 1.04 .0054 1 1.00 1.11 .0055 1 1.00 1.08 .0056 1 1.00 1.05 .0057 1 1.00 1.09 .0058 1 1.00 1.18 .0059 1 1.00 1.06 .0060 1 1.00 1.07 .0061 1 1.00 1.14 .0062 1 1.00 1.04 .0063 1 1.00 1.06 .0064 1 1.00 1.12 .0065 1 1.00 1.13 .0066 1 1.00 1.09 .0067 1 1.00 1.06 .0068 1 1.00 1.08 .0069 1 1.00 1.08 .0070 1 1.00 1.10 .0071 1 1.00 1.04 .0072 1 1.00 1.08 .0073 1 1.00 1.09 .0074 1 1.00 1.06 .0075 1 1.00 1.07 .0076 1 1.00 1.06 .0077 1 1.00 1.12 .0078 1 1.00 1.07 .0079 1 1.00 1.03 .0080 1 1.00 1.08 .0081 1 1.00 1.05 .0082 1 1.00 1.01 .0083 2 1.00 1.06 .0084 1 1.00 1.07 .0085 1 1.00 0.99 .0086 1 1.00 1.07 .0087 1 1.00 1.07 .0088 1 1.00 1.13 .0089 2 1.00 1.15 .0090 1 1.00 1.02 .0091 1 1.00 1.07 .0092 1 1.00 1.12 .0093 1 1.00 1.10 .0094 1 1.00 1.08 .0095 1 1.00 1.14 .0096 1 1.00 1.22 .0097 2 1.00 1.13 .0098 1 1.00 1.11 .0099 1 1.00 1.12 .0100 1 1.00 1.16 .0101 1 1.00 1.09 .0102 1 1.00 1.22 .0103 1 1.00 1.18 .0104 1 1.00 1.21 .0105 1 1.00 1.17 .0106 1 1.00 1.27 .0107 1 1.00 1.25 .0108 1 1.00 1.12 .0109 1 1.00 1.22 .0110 1 1.00 1.16 .0111 1 1.00 1.22 .0112 1 1.00 1.19 .0113 1 1.00 1.23 .0114 1 1.00 1.35 .0115 1 1.00 1.21 .0116 1 1.00 1.27 .0117 2 1.00 1.20 .0118 1 1.00 1.17 .0119 1 1.00 1.28 .0120 1 1.00 1.18 .0121 2 1.00 1.38 .0122 2 1.00 1.28 .0123 1 1.00 1.13 .0124 1 1.00 1.27 .0125 1 1.00 1.27 .0126 1 1.00 1.13 .0127 1 1.00 1.17 .0128 1 1.00 1.23 .0129 1 1.00 1.15 .0130 1 1.00 1.31 .0131 1 1.00 1.23 .0132 1 1.00 1.28 .0133 1 1.00 1.22 .0134 1 1.00 1.15 .0135 1 1.00 1.23 .0136 1 1.00 1.30 .0137 1 1.00 1.17 .0138 1 1.00 1.22 .0139 1 1.00 1.19 .0140 1 1.00 1.16 .0141 1 1.00 1.23 .0142 2 1.00 1.34 .0143 1 1.00 1.19 .0144 1 1.00 1.26 .0145 1 1.00 1.15 .0146 1 1.00 1.21 .0147 1 1.00 1.16 .0148 1 1.00 1.24 .0149 1 1.00 1.33 .0150 1 1.00 1.23 .0151 1 1.00 1.28 .0152 1 1.00 1.22 .0153 1 1.00 1.22 .0154 1 1.00 1.22 .0155 1 1.00 1.27 .0156 1 1.00 1.21 .0157 1 1.00 1.26 .0158 1 1.00 1.17 .0159 1 1.00 1.26 .0160 1 1.00 1.18 .0161 1 1.00 1.22 .0162 1 1.00 1.31 .0163 1 1.00 1.12 .0164 1 1.00 1.22 .0165 2 1.00 1.31 .0166 3 1.00 1.36 .0167 1 1.00 1.24 .0168 1 1.00 1.17 .0169 1 1.00 1.21 .0170 1 1.00 1.17 .0171 1 1.00 1.18 .0172 1 1.00 1.16 .0173 1 1.00 1.16 .0174 1 1.00 1.11 .0175 1 1.00 1.30 .0176 1 1.00 1.16 .0177 1 1.00 1.20 .0178 1 1.00 1.19 .0179 2 1.00 1.28 .0180 1 1.00 1.18 .0181 1 1.00 1.19 .0182 1 1.00 1.18 .0183 1 1.00 1.21 .0184 1 1.00 1.15 .0185 1 1.00 1.17 .0186 1 1.00 1.14 .0187 1 1.00 1.18 .0188 1 1.00 1.16 .0189 1 1.00 1.18 .0190 1 1.00 1.17 .0191 1 1.00 1.20 .0192 1 1.00 1.27 .0193 1 1.00 1.18 .0194 1 1.00 1.16 .0195 1 1.00 1.29 .0196 1 1.00 1.16 .0197 1 1.00 1.17 .0198 1 1.00 1.26 .0199 1 1.00 1.15 .0200 1 1.00 1.16 .0201 1 1.00 1.40 .0202 2 1.00 1.15 .0203 1 1.00 1.21 .0204 1 1.00 1.20 .0205 1 1.00 1.22 .0206 1 1.00 1.15 .0207 1 1.00 1.22 .0208 1 1.00 1.26 .0209 1 1.00 1.20 .0210 1 1.00 1.18 .0211 1 1.00 1.24 .0212 1 1.00 1.09 .0213 1 1.00 1.16 .0214 1 1.00 1.22 .0215 1 1.00 1.22 .0216 1 1.00 1.13 .0217 1 1.00 1.22 .0218 1 1.00 1.15 .0219 1 1.00 1.16 .0220 1 1.00 1.20 .0221 1 1.00 1.17 .0222 1 1.00 1.15 .0223 1 1.00 1.15 .0224 1 1.00 1.17 .0225 1 1.00 1.21 .0226 1 1.00 1.21 .0227 1 1.00 1.17 .0228 1 1.00 1.20 .0229 1 1.00 1.17 .0230 1 1.00 1.18 .0231 1 1.00 1.18 .0232 1 1.00 1.20 .0233 1 1.00 1.17 .0234 1 1.00 1.30 .0235 4 1.00 1.25 .0236 3 1.00 1.20 .0237 1 1.00 1.21 .0238 1 1.00 1.26 .0239 2 1.00 1.15 .0240 2 1.00 1.24 .0241 3 1.00 1.21 .0242 2 1.00 1.23 .0243 3 1.00 1.29 .0244 2 1.00 1.48 .0245 2 1.00 1.29 .0246 1 1.00 1.25 .0247 1 1.00 1.18 .0248 2 1.00 1.27 .0249 1 1.00 1.14 .0250 1 1.00 1.19 .0251 1 1.00 1.31 .0252 2 1.00 1.33 .0253 2 1.00 1.54 .0254 1 1.00 1.25 .0255 1 1.00 1.22 .0256 1 1.00 1.25 .0257 1 1.00 1.23 .0258 1 1.00 1.22 .0259 1 1.00 1.20 .0260 1 1.00 1.22 .0261 1 1.00 1.23 .0262 1 1.00 1.25 .0263 1 1.00 1.23 .0264 1 1.00 1.19 .0265 1 1.00 1.25 .0266 1 1.00 1.21 .0267 1 1.00 1.21 .0268 1 1.00 1.25 .0269 1 1.00 1.22 .0270 1 1.00 1.27 .0271 1 1.00 1.21 .0272 1 1.00 1.24 .0273 1 1.00 1.26 .0274 1 1.00 1.47 .0275 2 1.00 1.61 .0276 1 1.00 1.45 .0277 1 1.00 1.24 .0278 1 1.00 1.26 .0279 1 1.00 1.23 .0280 1 1.00 1.24 .0281 1 1.00 1.32 .0282 1 1.00 1.24 .0283 1 1.00 1.28 .0284 1 1.00 1.26 .0285 1 1.00 1.24 .0286 1 1.00 1.23 .0287 1 1.00 1.30 .0288 1 1.00 1.36 .0289 1 1.00 1.28 .0290 2 1.00 1.35 .0291 1 1.00 1.33 .0292 1 1.00 1.34 .0293 1 1.00 1.33 .0294 1 1.00 1.31 .0295 1 1.00 1.28 .0296 2 1.00 1.36 .0297 1 1.00 1.33 .0298 1 1.00 1.36 .0299 1 1.00 1.35 .0300 1 1.00 1.30 .0301 1 1.00 1.33 .0302 1 1.00 1.35 .0303 1 1.00 1.51 .0304 3 1.00 1.39 .0305 2 1.00 1.72 .0306 1 1.00 1.39 .0307 1 1.00 1.41 .0308 1 1.00 1.30 .0309 1 1.00 1.44 .0310 1 1.00 1.39 .0311 1 1.00 1.51 .0312 1 1.00 1.40 .0313 1 1.00 1.43 .0314 1 1.00 1.43 .0315 1 1.00 1.55 .0316 1 1.00 1.48 .0317 1 1.00 1.44 .0318 1 1.00 1.47 .0319 1 1.00 1.53 .0320 1 1.00 1.46 .0321 1 1.00 1.60 .0322 1 1.00 1.48 .0323 1 1.00 1.53 .0324 1 1.00 1.56 .0325 1 1.00 1.61 .0326 1 1.00 1.43 .0327 1 1.00 1.51 .0328 1 1.00 1.56 .0329 1 1.00 1.49 .0330 1 1.00 1.51 .0331 1 1.00 1.64 .0332 1 1.00 1.54 .0333 1 1.00 1.50 .0334 1 1.00 1.60 .0335 1 1.00 1.45 .0336 1 1.00 1.50 .0337 1 1.00 1.56 .0338 1 1.00 1.67 .0339 1 1.00 1.54 .0340 1 1.00 1.59 .0341 1 1.00 1.75 .0342 2 1.00 1.83 .0343 2 1.00 1.80 .0344 1 1.00 1.68 .0345 1 1.00 1.72 .0346 1 1.00 1.84 .0347 1 1.00 1.76 .0348 1 1.00 1.84 .0349 1 1.00 1.80 .0350 1 1.00 1.98 .0351 1 1.00 1.79 .0352 1 1.00 1.78 .0353 1 1.00 1.82 .0354 2 1.00 1.80 .0355 1 1.00 1.83 .0356 1 1.00 1.96 .0357 1 1.00 1.95 .0358 1 1.00 1.93 .0359 1 1.00 1.90 .0360 1 1.00 1.94 .0361 1 1.00 1.90 .0362 1 1.00 1.90 .0363 1 1.00 1.93 .0364 1 1.00 1.91 .0365 1 1.00 1.87 .0366 1 1.00 1.99 .0367 1 1.00 1.93 .0368 1 1.00 1.91 .0369 1 1.00 1.96 .0370 1 1.00 1.96 .0371 1 1.00 1.93 .0372 1 1.00 1.90 .0373 1 1.00 1.96 .0374 1 1.00 1.96 .0375 1 1.00 1.95 .0376 1 1.00 1.98 .0377 1 1.00 1.99 .0378 1 1.00 2.06 .0379 1 1.00 1.95 .0380 1 1.00 2.07 .0381 1 1.00 2.00 .0382 1 1.00 2.04 .0383 1 1.00 2.00 .0384 1 1.00 2.10 .0385 1 1.00 2.20 .0386 1 1.00 2.14 .0387 1 1.00 2.45 .0388 1 1.00 2.24 .0389 1 1.00 2.13 .0390 1 1.00 2.12 .0391 1 1.00 2.07 .0392 1 1.00 2.15 .0393 1 1.00 2.18 .0394 1 1.00 2.13 .0395 1 1.00 2.33 .0396 1 1.00 2.25 .0397 1 1.00 2.33 .0398 1 1.00 2.31 .0399 1 1.00 2.31 .0400 1 1.00 2.27 .0401 1 1.00 2.35 .0402 1 1.00 2.13 .0403 1 1.00 2.25 .0404 1 1.00 2.20 .0405 1 1.00 2.34 .0406 1 1.00 2.27 .0407 1 1.00 2.20 .0408 1 1.00 2.13 .0409 1 1.00 2.28 .0410 1 1.00 2.65 .0411 1 1.00 2.21 .0412 1 1.00 2.23 .0413 1 1.00 2.27 .0414 1 1.00 2.22 .0415 1 1.00 2.28 .0416 1 1.00 2.21 .0417 1 1.00 2.23 .0418 1 1.00 2.22 .0419 1 1.00 2.27 .0420 1 1.00 2.29 .0421 1 1.00 2.32 .0422 1 1.00 2.29 .0423 1 1.00 2.40 .0424 1 1.00 2.46 .0425 1 1.00 2.27 .0426 1 1.00 2.51 .0427 1 1.00 2.38 .0428 1 1.00 2.36 .0429 1 1.00 2.45 .0430 2 1.00 2.37 .0431 1 1.00 2.48 .0432 1 1.00 2.45 .0433 1 1.00 2.41 .0434 1 1.00 2.55 .0435 1 1.00 2.44 .0436 1 1.00 2.47 .0437 1 1.00 2.41 .0438 1 1.00 2.45 .0439 1 1.00 2.59 .0440 1 1.00 2.53 .0441 1 1.00 2.69 .0442 1 1.00 2.54 .0443 1 1.00 2.59 .0444 1 1.00 2.48 .0445 1 1.00 2.61 .0446 1 1.00 2.57 .0447 1 1.00 2.45 .0448 1 1.00 2.42 .0449 1 1.00 2.42 .0450 1 1.00 2.60 .0451 1 1.00 2.43 .0452 1 1.00 2.56 .0453 1 1.00 2.36 .0454 1 1.00 2.56 .0455 1 1.00 2.54 .0456 1 1.00 2.42 .0457 1 1.00 2.46 .0458 1 1.00 2.51 .0459 1 1.00 2.46 .0460 1 1.00 2.46 .0461 1 1.00 2.61 .0462 1 1.00 2.36 .0463 1 1.00 2.39 .0464 1 1.00 2.55 .0465 1 1.00 2.55 .0466 1 1.00 2.42 .0467 1 1.00 2.53 .0468 1 1.00 2.58 .0469 1 1.00 2.60 .0470 1 1.00 2.49 .0471 1 1.00 2.57 .0472 1 1.00 2.60 .0473 1 1.00 2.58 .0474 1 1.00 2.74 .0475 1 1.00 2.57 .0476 1 1.00 2.45 .0477 1 1.00 2.56 .0478 1 1.00 2.59 .0479 1 1.00 2.93 .0480 1 1.00 2.56 .0481 1 1.00 2.60 .0482 1 1.00 2.51 .0483 1 1.00 2.54 .0484 1 1.00 2.63 .0485 1 1.00 2.57 .0486 1 1.00 2.65 .0487 1 1.00 2.66 .0488 1 1.00 2.53 .0489 1 1.00 2.77 .0490 1 1.00 2.73 .0491 1 1.00 2.50 .0492 1 1.00 2.55 .0493 1 1.00 2.45 .0494 1 1.00 2.46 .0495 1 1.00 2.32 .0496 1 1.00 2.41 .0497 1 1.00 2.53 .0498 1 1.00 2.41 .0499 1 1.00 2.40 .0500 3 1.00 2.30 .0501 2 1.00 2.31 .0502 2 1.00 2.73 .0503 1 1.00 2.45 .0504 1 1.00 2.36 .0505 1 1.00 2.32 .0506 1 1.00 2.53 .0507 1 1.00 2.39 .0508 1 1.00 2.39 .0509 1 1.00 2.45 .0510 1 1.00 2.53 .0511 1 1.00 2.28 .0512 1 1.00 2.41 .0513 1 1.00 2.51 .0514 1 1.00 2.47 .0515 1 1.00 2.46 .0516 1 1.00 2.47 .0517 1 1.00 2.41 .0518 1 1.00 2.57 .0519 1 1.00 2.52 .0520 1 1.00 2.47 .0521 1 1.00 2.39 .0522 1 1.00 2.60 .0523 1 1.00 2.54 .0524 1 1.00 2.60 .0525 1 1.00 2.53 .0526 1 1.00 2.52 .0527 1 1.00 2.53 .0528 1 1.00 2.48 .0529 1 1.00 2.48 .0530 1 1.00 2.70 .0531 1 1.00 2.61 .0532 1 1.00 2.46 .0533 1 1.00 2.42 .0534 1 1.00 2.36 .0535 1 1.00 2.45 .0536 1 1.00 2.36 .0537 1 1.00 2.45 .0538 1 1.00 2.37 .0539 1 1.00 2.42 .0540 1 1.00 2.44 .0541 1 1.00 2.43 .0542 1 1.00 2.52 .0543 1 1.00 2.25 .0544 1 1.00 2.49 .0545 1 1.00 2.42 .0546 1 1.00 2.42 .0547 1 1.00 2.24 .0548 1 1.00 2.49 .0549 1 1.00 2.36 .0550 1 1.00 2.39 .0551 1 1.00 2.33 .0552 1 1.00 2.40 .0553 1 1.00 2.31 .0554 1 1.00 2.33 .0555 1 1.00 2.32 .0556 1 1.00 2.38 .0557 1 1.00 2.47 .0558 1 1.00 2.44 .0559 1 1.00 2.38 .0560 1 1.00 2.40 .0561 2 1.00 2.46 .0562 1 1.00 2.91 .0563 1 1.00 2.40 .0564 1 1.00 2.33 .0565 1 1.00 2.39 .0566 1 1.00 2.44 .0567 1 1.00 2.43 .0568 1 1.00 2.39 .0569 1 1.00 2.45 .0570 1 1.00 2.39 .0571 1 1.00 2.43 .0572 1 1.00 2.54 .0573 1 1.00 2.29 .0574 1 1.00 2.27 .0575 1 1.00 2.22 .0576 1 1.00 2.27 .0577 1 1.00 2.26 .0578 1 1.00 2.32 .0579 1 1.00 2.23 .0580 1 1.00 2.17 .0581 1 1.00 2.18 .0582 1 1.00 2.18 .0583 1 1.00 2.21 .0584 1 1.00 2.21 .0585 1 1.00 2.27 .0586 1 1.00 2.30 .0587 1 1.00 2.22 .0588 1 1.00 2.49 .0589 2 1.00 2.25 .0590 1 1.00 2.17 .0591 1 1.00 2.29 .0592 1 1.00 2.21 .0593 1 1.00 2.23 .0594 1 1.00 2.26 .0595 1 1.00 2.22 .0596 1 1.00 2.34 .0597 1 1.00 2.23 .0598 1 1.00 2.23 .0599 1 1.00 2.25 .0600 1 1.00 2.14 .0601 1 1.00 2.12 .0602 1 1.00 2.14 .0603 1 1.00 2.33 .0604 1 1.00 2.33 .0605 1 1.00 2.36 .0606 1 1.00 2.39 .0607 1 1.00 2.33 .0608 1 1.00 2.12 .0609 1 1.00 2.27 .0610 1 1.00 2.67 .0611 1 1.00 2.24 .0612 1 1.00 2.30 .0613 1 1.00 2.39 .0614 1 1.00 2.34 .0615 1 1.00 2.14 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.1837 1 1.00 3.01 .1838 1 1.00 2.95 .1839 1 1.00 2.96 .1840 1 1.00 3.06 .1841 1 1.00 3.04 .1842 1 1.00 2.87 .1843 1 1.00 2.99 .1844 1 1.00 2.99 .1845 1 1.00 3.05 .1846 1 1.00 2.99 .1847 1 1.00 2.99 .1848 1 1.00 3.08 .1849 1 1.00 3.00 .1850 1 1.00 2.94 .1851 1 1.00 3.07 .1852 1 1.00 3.13 .1853 1 1.00 2.86 .1854 1 1.00 3.04 .1855 1 1.00 2.93 .1856 1 1.00 2.87 .1857 1 1.00 3.00 .1858 1 1.00 2.89 .1859 1 1.00 2.97 .1860 1 1.00 3.55 .1861 2 1.00 3.32 .1862 2 1.00 3.14 .1863 1 1.00 3.02 .1864 1 1.00 3.01 .1865 1 1.00 3.12 .1866 1 1.00 2.95 .1867 1 1.00 3.05 .1868 1 1.00 2.98 .1869 1 1.00 2.96 .1870 3 1.00 3.14 .1871 2 1.00 3.03 .1872 1 1.00 2.81 .1873 1 1.00 2.92 .1874 1 1.00 2.94 .1875 1 1.00 2.98 .1876 1 1.00 3.13 .1877 1 1.00 3.02 .1878 1 1.00 2.97 .1879 1 1.00 2.97 .1880 1 1.00 3.02 .1881 1 1.00 3.01 .1882 1 1.00 3.08 .1883 1 1.00 3.09 .1884 1 1.00 3.12 .1885 1 1.00 3.10 .1886 1 1.00 3.11 .1887 1 1.00 3.01 .1888 1 1.00 3.13 .1889 1 1.00 3.12 .1890 1 1.00 3.01 .1891 1 1.00 3.12 .1892 1 1.00 2.92 .1893 1 1.00 2.92 .1894 1 1.00 2.99 .1895 1 1.00 2.98 .1896 1 1.00 3.05 .1897 1 1.00 3.07 .1898 1 1.00 3.03 .1899 1 1.00 2.92 .1900 1 1.00 2.84 .1901 1 1.00 3.09 .1902 1 1.00 2.93 .1903 1 1.00 3.02 .1904 1 1.00 3.04 .1905 1 1.00 2.92 .1906 1 1.00 3.01 .1907 1 1.00 3.04 .1908 1 1.00 2.93 .1909 1 1.00 3.04 .1910 1 1.00 2.82 .1911 1 1.00 3.07 .1912 1 1.00 3.28 .1913 1 1.00 2.94 .1914 1 1.00 2.82 .1915 1 1.00 2.75 .1916 1 1.00 3.21 .1917 1 1.00 2.86 .1918 1 1.00 2.88 .1919 1 1.00 2.88 .1920 1 1.00 2.84 .1921 1 1.00 2.78 .1922 1 1.00 2.82 .1923 1 1.00 2.89 .1924 1 1.00 2.95 .1925 2 1.00 2.92 .1926 1 1.00 2.80 .1927 1 1.00 2.75 .1928 1 1.00 2.90 .1929 2 1.00 3.07 .1930 1 1.00 2.74 .1931 1 1.00 2.81 .1932 1 1.00 2.71 .1933 1 1.00 2.78 .1934 1 1.00 2.71 .1935 1 1.00 2.87 .1936 1 1.00 2.72 .1937 1 1.00 3.08 .1938 3 1.00 2.92 .1939 4 1.00 3.07 .1940 1 1.00 3.06 .1941 1 1.00 2.84 .1942 1 1.00 2.67 .1943 1 1.00 2.69 .1944 1 1.00 2.80 .1945 2 1.00 2.70 .1946 1 1.00 2.56 .1947 1 1.00 2.81 .1948 1 1.00 2.98 .1949 1 1.00 2.66 .1950 1 1.00 2.74 .1951 1 1.00 2.69 .1952 1 1.00 2.68 .1953 1 1.00 2.70 .1954 1 1.00 2.60 .1955 1 1.00 2.64 .1956 1 1.00 2.58 .1957 1 1.00 2.56 .1958 1 1.00 2.78 .1959 1 1.00 2.64 .1960 1 1.00 2.61 .1961 1 1.00 2.63 .1962 1 1.00 2.63 .1963 1 1.00 2.64 .1964 1 1.00 2.70 .1965 1 1.00 2.63 .1966 1 1.00 2.55 .1967 1 1.00 2.50 .1968 1 1.00 2.69 .1969 1 1.00 2.41 .1970 1 1.00 2.56 .1971 1 1.00 2.57 .1972 1 1.00 2.68 .1973 1 1.00 2.51 .1974 1 1.00 2.76 .1975 1 1.00 2.69 .1976 3 1.00 2.68 .1977 1 1.00 2.52 .1978 1 1.00 2.95 .1979 2 1.00 2.77 .1980 2 1.00 2.57 .1981 1 1.00 2.69 .1982 1 1.00 2.48 .1983 1 1.00 2.58 .1984 1 1.00 2.44 .1985 1 1.00 2.46 .1986 1 1.00 2.49 .1987 1 1.00 2.33 .1988 1 1.00 2.49 .1989 1 1.00 2.63 .1990 1 1.00 2.45 .1991 1 1.00 2.56 .1992 1 1.00 2.56 .1993 1 1.00 2.37 .1994 1 1.00 2.42 .1995 1 1.00 2.31 .1996 1 1.00 2.49 .1997 1 1.00 2.36 .1998 1 1.00 2.43 .1999 1 1.00 2.46 .2000 1 1.00 2.42 .2001 1 1.00 2.32 .2002 1 1.00 2.53 .2003 2 1.00 2.41 .2004 1 1.00 2.55 .2005 1 1.00 2.43 .2006 3 1.00 2.39 .2007 2 1.00 2.54 .2008 1 1.00 2.32 .2009 1 1.00 2.58 .2010 1 1.00 2.38 .2011 1 1.00 2.37 .2012 1 1.00 2.29 .2013 1 1.00 2.43 .2014 1 1.00 2.43 .2015 2 1.00 2.28 .2016 1 1.00 2.49 .2017 1 1.00 2.28 .2018 1 1.00 2.26 .2019 3 1.00 2.53 .2020 4 1.00 2.49 .2021 2 1.00 2.46 .2022 1 1.00 2.27 .2023 1 1.00 2.16 .2024 1 1.00 2.28 .2025 1 1.00 2.25 .2026 2 1.00 2.39 .2027 1 1.00 2.16 .2028 1 1.00 2.14 .2029 1 1.00 2.32 .2030 1 1.00 2.23 .2031 1 1.00 2.17 .2032 1 1.00 2.32 .2033 1 1.00 2.22 .2034 1 1.00 2.11 .2035 1 1.00 2.26 .2036 1 1.00 2.42 .2037 1 1.00 2.21 .2038 2 1.00 2.36 .2039 2 1.00 2.08 .2040 2 1.00 2.23 .2041 1 1.00 2.19 .2042 1 1.00 2.21 .2043 1 1.00 2.18 .2044 1 1.00 2.20 .2045 1 1.00 2.16 .2046 1 1.00 2.08 .2047 1 1.00 2.17 EXTRACT_IMAGE: b2: masked 177 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITFLATWIDTH: b2: Median spatial widths = 0.90 0.91 0.89 0.90 pix (LL LR UL UR) SPCALIB: b2: Using Cubic, median chi squareds: vs SPCALIB: b2: Found 0 bright pixels in extracted flat sdR-b2-00034585.fit SPCALIB: b2: Tracing flat # 2 of 2 SPCALIB: b2: Reading flat sdR-b2-00034591.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.87698 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1234.49 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1215. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.39232 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1205.24 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1188. DN is 0 SDSSPROC: b2: Number of bleading columns = 1 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Tracing 320 fibers in sdR-b2-00034591.fit TRACE320CEN: b2: Big gap at fiber= 20, x= 138.56, dx= 8.02 TRACE320CEN: b2: Big gap at fiber= 40, x= 265.80, dx= 9.22 TRACE320CEN: b2: Big gap at fiber= 60, x= 391.22, dx= 8.00 TRACE320CEN: b2: Big gap at fiber= 80, x= 516.68, dx= 8.30 TRACE320CEN: b2: Big gap at fiber= 100, x= 641.89, dx= 8.27 TRACE320CEN: b2: Big gap at fiber= 160, x=1014.27, dx= 8.23 TRACE320CEN: b2: Big gap at fiber= 200, x=1262.29, dx= 7.93 TRACE320CEN: b2: Big gap at fiber= 220, x=1387.25, dx= 8.19 TRACE320CEN: b2: Big gap at fiber= 240, x=1511.95, dx= 7.89 TRACE320CEN: b2: Big gap at fiber= 260, x=1637.46, dx= 8.12 TRACE320CEN: b2: Big gap at fiber= 280, x=1762.81, dx= 8.06 TRACE320CEN: b2: Big gap at fiber= 300, x=1890.09, dx= 9.35 TRACE320CRUDE: b2: Warning: Fixing traces: 202 241 263 292 311 SPCALIB: b2: Fitting traces in sdR-b2-00034591.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 75 23 2048 59 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 57 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 1 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 2 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 4 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 198 SPCALIB: b2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 1 1.00 1.12 .0001 1 1.00 1.13 .0002 1 1.00 1.18 .0003 1 1.00 1.10 .0004 1 1.00 1.07 .0005 1 1.00 1.02 .0006 1 1.00 1.07 .0007 1 1.00 1.15 .0008 1 1.00 1.13 .0009 1 1.00 1.10 .0010 1 1.00 1.09 .0011 1 1.00 1.07 .0012 1 1.00 1.06 .0013 1 1.00 1.09 .0014 1 1.00 1.05 .0015 1 1.00 1.09 .0016 1 1.00 1.16 .0017 1 1.00 1.06 .0018 1 1.00 1.07 .0019 1 1.00 1.12 .0020 1 1.00 1.14 .0021 1 1.00 1.11 .0022 1 1.00 1.05 .0023 1 1.00 1.07 .0024 1 1.00 1.05 .0025 2 1.00 1.07 .0026 2 1.00 1.07 .0027 1 1.00 1.06 .0028 1 1.00 1.08 .0029 1 1.00 1.06 .0030 2 1.00 1.39 .0031 2 1.00 1.14 .0032 1 1.00 1.08 .0033 1 1.00 1.11 .0034 1 1.00 1.08 .0035 1 1.00 1.09 .0036 1 1.00 1.18 .0037 1 1.00 1.08 .0038 1 1.00 1.07 .0039 1 1.00 1.09 .0040 1 1.00 1.17 .0041 1 1.00 1.13 .0042 1 1.00 1.02 .0043 1 1.00 1.06 .0044 2 1.00 1.06 .0045 1 1.00 1.02 .0046 1 1.00 1.02 .0047 1 1.00 1.12 .0048 1 1.00 1.16 .0049 1 1.00 1.02 .0050 1 1.00 1.09 .0051 1 1.00 1.07 .0052 1 1.00 1.10 .0053 1 1.00 1.08 .0054 1 1.00 0.98 .0055 1 1.00 1.10 .0056 1 1.00 1.05 .0057 1 1.00 1.07 .0058 1 1.00 1.06 .0059 1 1.00 1.08 .0060 1 1.00 1.09 .0061 1 1.00 1.06 .0062 1 1.00 1.11 .0063 2 1.00 1.12 .0064 1 1.00 1.12 .0065 1 1.00 1.10 .0066 1 1.00 1.09 .0067 1 1.00 1.10 .0068 1 1.00 1.05 .0069 1 1.00 1.07 .0070 1 1.00 1.12 .0071 1 1.00 1.07 .0072 1 1.00 1.00 .0073 1 1.00 1.07 .0074 1 1.00 1.08 .0075 1 1.00 1.12 .0076 1 1.00 1.19 .0077 1 1.00 1.03 .0078 1 1.00 1.15 .0079 1 1.00 1.19 .0080 1 1.00 1.12 .0081 1 1.00 1.11 .0082 1 1.00 1.08 .0083 1 1.00 1.05 .0084 1 1.00 1.15 .0085 1 1.00 1.26 .0086 1 1.00 1.16 .0087 1 1.00 1.19 .0088 1 1.00 1.20 .0089 1 1.00 1.26 .0090 1 1.00 1.19 .0091 1 1.00 1.25 .0092 1 1.00 1.29 .0093 2 1.00 1.20 .0094 1 1.00 1.21 .0095 1 1.00 1.26 .0096 1 1.00 1.17 .0097 1 1.00 1.18 .0098 1 1.00 1.17 .0099 1 1.00 1.22 .0100 1 1.00 1.29 .0101 1 1.00 1.18 .0102 1 1.00 1.25 .0103 1 1.00 1.25 .0104 1 1.00 1.24 .0105 1 1.00 1.24 .0106 1 1.00 1.23 .0107 1 1.00 1.27 .0108 1 1.00 1.22 .0109 1 1.00 1.19 .0110 1 1.00 1.20 .0111 1 1.00 1.23 .0112 1 1.00 1.22 .0113 1 1.00 1.22 .0114 1 1.00 1.22 .0115 1 1.00 1.16 .0116 1 1.00 1.23 .0117 1 1.00 1.26 .0118 1 1.00 1.19 .0119 1 1.00 1.26 .0120 1 1.00 1.28 .0121 1 1.00 1.18 .0122 1 1.00 1.20 .0123 1 1.00 1.23 .0124 1 1.00 1.19 .0125 1 1.00 1.15 .0126 2 1.00 1.20 .0127 1 1.00 1.23 .0128 1 1.00 1.25 .0129 1 1.00 1.14 .0130 1 1.00 1.15 .0131 2 1.00 1.26 .0132 1 1.00 1.18 .0133 1 1.00 1.11 .0134 1 1.00 1.21 .0135 1 1.00 1.16 .0136 1 1.00 1.17 .0137 2 1.00 1.16 .0138 1 1.00 1.15 .0139 1 1.00 1.22 .0140 1 1.00 1.19 .0141 1 1.00 1.18 .0142 1 1.00 1.18 .0143 2 1.00 1.15 .0144 1 1.00 1.20 .0145 1 1.00 1.15 .0146 1 1.00 1.23 .0147 1 1.00 1.20 .0148 1 1.00 1.06 .0149 1 1.00 1.08 .0150 1 1.00 1.16 .0151 1 1.00 1.15 .0152 1 1.00 1.21 .0153 1 1.00 1.24 .0154 1 1.00 1.12 .0155 1 1.00 1.15 .0156 1 1.00 1.12 .0157 1 1.00 1.27 .0158 1 1.00 1.27 .0159 1 1.00 1.22 .0160 1 1.00 1.18 .0161 1 1.00 1.23 .0162 1 1.00 1.16 .0163 1 1.00 1.24 .0164 1 1.00 1.19 .0165 1 1.00 1.24 .0166 1 1.00 1.14 .0167 1 1.00 1.17 .0168 1 1.00 1.19 .0169 1 1.00 1.29 .0170 1 1.00 1.28 .0171 1 1.00 1.20 .0172 1 1.00 1.25 .0173 1 1.00 1.26 .0174 1 1.00 1.19 .0175 1 1.00 1.19 .0176 1 1.00 1.16 .0177 1 1.00 1.21 .0178 1 1.00 1.15 .0179 1 1.00 1.21 .0180 1 1.00 1.16 .0181 2 1.00 1.13 .0182 1 1.00 1.23 .0183 1 1.00 1.19 .0184 1 1.00 1.12 .0185 1 1.00 1.13 .0186 1 1.00 1.16 .0187 1 1.00 1.11 .0188 1 1.00 1.14 .0189 1 1.00 1.19 .0190 1 1.00 1.18 .0191 1 1.00 1.25 .0192 1 1.00 1.15 .0193 1 1.00 1.15 .0194 1 1.00 1.27 .0195 1 1.00 1.14 .0196 1 1.00 1.13 .0197 1 1.00 1.29 .0198 1 1.00 1.17 .0199 1 1.00 1.27 .0200 1 1.00 1.24 .0201 2 1.00 1.31 .0202 1 1.00 1.25 .0203 1 1.00 1.27 .0204 1 1.00 1.21 .0205 1 1.00 1.12 .0206 1 1.00 1.10 .0207 1 1.00 1.22 .0208 1 1.00 1.19 .0209 1 1.00 1.10 .0210 1 1.00 1.21 .0211 1 1.00 1.19 .0212 1 1.00 1.20 .0213 1 1.00 1.18 .0214 1 1.00 1.18 .0215 1 1.00 1.27 .0216 1 1.00 1.19 .0217 1 1.00 1.17 .0218 1 1.00 1.14 .0219 1 1.00 1.20 .0220 2 1.00 1.14 .0221 1 1.00 1.22 .0222 1 1.00 1.12 .0223 1 1.00 1.15 .0224 1 1.00 1.18 .0225 1 1.00 1.14 .0226 2 1.00 1.11 .0227 1 1.00 1.15 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1.00 3.35 .1505 1 1.00 3.52 .1506 1 1.00 3.37 .1507 1 1.00 3.31 .1508 1 1.00 3.51 .1509 1 1.00 3.21 .1510 1 1.00 3.11 .1511 1 1.00 3.15 .1512 1 1.00 3.41 .1513 1 1.00 3.45 .1514 1 1.00 3.31 .1515 1 1.00 3.33 .1516 1 1.00 3.10 .1517 1 1.00 3.12 .1518 1 1.00 3.43 .1519 1 1.00 3.22 .1520 1 1.00 3.25 .1521 1 1.00 3.31 .1522 1 1.00 3.29 .1523 1 1.00 3.15 .1524 1 1.00 3.21 .1525 1 1.00 3.07 .1526 1 1.00 3.37 .1527 1 1.00 3.39 .1528 2 1.00 3.30 .1529 2 1.00 3.24 .1530 1 1.00 3.36 .1531 1 1.00 3.26 .1532 1 1.00 3.12 .1533 1 1.00 3.18 .1534 1 1.00 3.08 .1535 1 1.00 3.33 .1536 1 1.00 3.16 .1537 1 1.00 3.41 .1538 1 1.00 3.08 .1539 1 1.00 3.21 .1540 1 1.00 3.36 .1541 1 1.00 3.42 .1542 1 1.00 3.28 .1543 1 1.00 2.98 .1544 1 1.00 3.22 .1545 1 1.00 3.09 .1546 1 1.00 3.11 .1547 1 1.00 3.05 .1548 1 1.00 3.07 .1549 1 1.00 3.03 .1550 1 1.00 3.13 .1551 1 1.00 3.25 .1552 1 1.00 3.19 .1553 1 1.00 3.07 .1554 1 1.00 3.03 .1555 1 1.00 3.13 .1556 1 1.00 3.14 .1557 1 1.00 3.16 .1558 1 1.00 3.10 .1559 1 1.00 3.22 .1560 1 1.00 3.26 .1561 1 1.00 3.22 .1562 1 1.00 3.13 .1563 1 1.00 3.21 .1564 1 1.00 3.06 .1565 1 1.00 3.05 .1566 1 1.00 3.29 .1567 1 1.00 3.16 .1568 1 1.00 3.28 .1569 1 1.00 3.16 .1570 1 1.00 3.08 .1571 1 1.00 3.02 .1572 1 1.00 3.19 .1573 2 1.00 3.26 .1574 1 1.00 2.96 .1575 1 1.00 3.07 .1576 1 1.00 3.11 .1577 1 1.00 2.88 .1578 1 1.00 3.10 .1579 1 1.00 3.23 .1580 1 1.00 3.28 .1581 1 1.00 3.06 .1582 1 1.00 3.13 .1583 1 1.00 3.08 .1584 1 1.00 3.05 .1585 1 1.00 3.21 .1586 1 1.00 3.16 .1587 1 1.00 2.95 .1588 1 1.00 3.15 .1589 1 1.00 3.19 .1590 1 1.00 3.14 .1591 1 1.00 3.12 .1592 1 1.00 3.35 .1593 1 1.00 3.05 .1594 1 1.00 3.12 .1595 1 1.00 3.07 .1596 1 1.00 3.02 .1597 1 1.00 3.17 .1598 1 1.00 3.11 .1599 1 1.00 3.06 .1600 1 1.00 3.30 .1601 1 1.00 3.19 .1602 1 1.00 3.18 .1603 1 1.00 3.07 .1604 1 1.00 3.15 .1605 1 1.00 3.18 .1606 1 1.00 3.12 .1607 1 1.00 3.17 .1608 1 1.00 3.18 .1609 1 1.00 3.14 .1610 1 1.00 3.08 .1611 1 1.00 3.09 .1612 1 1.00 3.06 .1613 1 1.00 3.03 .1614 1 1.00 3.09 .1615 1 1.00 2.95 .1616 1 1.00 3.11 .1617 1 1.00 3.12 .1618 2 1.00 3.45 .1619 2 1.00 3.14 .1620 1 1.00 3.01 .1621 1 1.00 3.05 .1622 1 1.00 3.08 .1623 1 1.00 2.98 .1624 1 1.00 3.09 .1625 1 1.00 3.05 .1626 1 1.00 3.05 .1627 1 1.00 3.08 .1628 1 1.00 3.14 .1629 1 1.00 3.19 .1630 1 1.00 3.07 .1631 1 1.00 3.12 .1632 1 1.00 3.13 .1633 1 1.00 3.03 .1634 1 1.00 3.08 .1635 1 1.00 3.09 .1636 1 1.00 3.01 .1637 1 1.00 3.06 .1638 1 1.00 3.25 .1639 1 1.00 3.13 .1640 1 1.00 2.93 .1641 1 1.00 3.06 .1642 1 1.00 2.99 .1643 1 1.00 3.01 .1644 1 1.00 3.00 .1645 1 1.00 3.16 .1646 1 1.00 3.12 .1647 1 1.00 3.26 .1648 1 1.00 3.06 .1649 1 1.00 3.06 .1650 1 1.00 3.01 .1651 1 1.00 2.95 .1652 1 1.00 3.00 .1653 1 1.00 3.05 .1654 1 1.00 2.97 .1655 1 1.00 3.14 .1656 1 1.00 3.22 .1657 1 1.00 2.89 .1658 1 1.00 3.07 .1659 1 1.00 3.02 .1660 1 1.00 3.12 .1661 1 1.00 3.18 .1662 1 1.00 3.06 .1663 1 1.00 3.05 .1664 1 1.00 2.91 .1665 1 1.00 2.96 .1666 1 1.00 2.93 .1667 1 1.00 3.03 .1668 1 1.00 2.99 .1669 1 1.00 3.18 .1670 1 1.00 3.16 .1671 2 1.00 2.97 .1672 2 1.00 3.21 .1673 2 1.00 3.06 .1674 2 1.00 3.19 .1675 2 1.00 2.96 .1676 2 1.00 3.14 .1677 1 1.00 3.26 .1678 1 1.00 2.93 .1679 1 1.00 2.93 .1680 1 1.00 2.97 .1681 1 1.00 3.00 .1682 1 1.00 2.99 .1683 1 1.00 3.13 .1684 1 1.00 3.25 .1685 1 1.00 2.89 .1686 1 1.00 3.06 .1687 1 1.00 3.02 .1688 1 1.00 3.03 .1689 1 1.00 2.88 .1690 1 1.00 3.06 .1691 1 1.00 2.92 .1692 1 1.00 3.05 .1693 1 1.00 3.48 .1694 1 1.00 3.06 .1695 1 1.00 3.04 .1696 1 1.00 3.07 .1697 1 1.00 3.10 .1698 1 1.00 2.91 .1699 1 1.00 3.07 .1700 1 1.00 2.95 .1701 1 1.00 2.93 .1702 1 1.00 3.06 .1703 1 1.00 2.84 .1704 1 1.00 3.03 .1705 1 1.00 3.03 .1706 1 1.00 3.04 .1707 1 1.00 2.95 .1708 1 1.00 3.06 .1709 1 1.00 3.08 .1710 2 1.00 3.15 .1711 1 1.00 2.93 .1712 1 1.00 3.09 .1713 1 1.00 3.02 .1714 1 1.00 3.06 .1715 1 1.00 3.12 .1716 1 1.00 3.13 .1717 1 1.00 2.99 .1718 1 1.00 2.88 .1719 1 1.00 2.96 .1720 1 1.00 3.02 .1721 1 1.00 2.89 .1722 1 1.00 3.05 .1723 1 1.00 3.11 .1724 1 1.00 3.08 .1725 1 1.00 3.12 .1726 1 1.00 3.13 .1727 1 1.00 3.02 .1728 1 1.00 3.05 .1729 1 1.00 2.98 .1730 1 1.00 3.00 .1731 1 1.00 3.01 .1732 1 1.00 3.11 .1733 1 1.00 3.08 .1734 1 1.00 2.99 .1735 1 1.00 3.10 .1736 4 1.00 3.13 .1737 1 1.00 3.49 .1738 1 1.00 2.82 .1739 1 1.00 2.90 .1740 1 1.00 3.04 .1741 1 1.00 3.01 .1742 1 1.00 3.03 .1743 1 1.00 3.08 .1744 1 1.00 2.91 .1745 1 1.00 2.89 .1746 1 1.00 3.03 .1747 1 1.00 3.04 .1748 1 1.00 2.84 .1749 1 1.00 2.88 .1750 1 1.00 3.18 .1751 1 1.00 3.06 .1752 1 1.00 3.35 .1753 2 1.00 2.99 .1754 1 1.00 3.12 .1755 1 1.00 3.10 .1756 1 1.00 3.00 .1757 1 1.00 2.88 .1758 1 1.00 3.06 .1759 1 1.00 2.93 .1760 1 1.00 3.00 .1761 1 1.00 3.07 .1762 1 1.00 3.09 .1763 1 1.00 3.01 .1764 1 1.00 3.09 .1765 1 1.00 3.04 .1766 1 1.00 3.08 .1767 1 1.00 2.96 .1768 1 1.00 3.04 .1769 1 1.00 2.88 .1770 2 1.00 2.93 .1771 1 1.00 2.99 .1772 1 1.00 2.94 .1773 1 1.00 2.96 .1774 1 1.00 3.22 .1775 1 1.00 3.07 .1776 1 1.00 3.56 .1777 2 1.00 3.05 .1778 1 1.00 3.34 .1779 2 1.00 3.16 .1780 1 1.00 3.42 .1781 2 1.00 2.91 .1782 1 1.00 3.40 .1783 1 1.00 3.00 .1784 1 1.00 3.03 .1785 1 1.00 2.92 .1786 1 1.00 2.85 .1787 1 1.00 3.03 .1788 1 1.00 3.03 .1789 1 1.00 3.13 .1790 1 1.00 3.03 .1791 1 1.00 3.14 .1792 1 1.00 3.39 .1793 1 1.00 3.19 .1794 1 1.00 2.98 .1795 1 1.00 3.00 .1796 1 1.00 2.94 .1797 1 1.00 2.99 .1798 1 1.00 3.17 .1799 1 1.00 2.94 .1800 1 1.00 3.20 .1801 1 1.00 3.12 .1802 1 1.00 3.02 .1803 1 1.00 2.98 .1804 1 1.00 2.96 .1805 1 1.00 3.00 .1806 1 1.00 3.08 .1807 1 1.00 3.17 .1808 1 1.00 2.97 .1809 1 1.00 3.04 .1810 1 1.00 2.91 .1811 1 1.00 2.99 .1812 1 1.00 3.00 .1813 1 1.00 2.99 .1814 1 1.00 3.05 .1815 1 1.00 2.86 .1816 1 1.00 2.91 .1817 1 1.00 2.93 .1818 1 1.00 2.99 .1819 1 1.00 2.84 .1820 1 1.00 2.91 .1821 1 1.00 2.89 .1822 2 1.00 3.22 .1823 1 1.00 2.91 .1824 1 1.00 2.78 .1825 1 1.00 2.99 .1826 1 1.00 2.85 .1827 1 1.00 2.80 .1828 1 1.00 2.97 .1829 1 1.00 3.00 .1830 1 1.00 3.07 .1831 1 1.00 2.97 .1832 1 1.00 2.93 .1833 1 1.00 2.94 .1834 1 1.00 2.96 .1835 1 1.00 2.90 .1836 1 1.00 2.80 .1837 1 1.00 3.02 .1838 1 1.00 2.90 .1839 1 1.00 2.96 .1840 1 1.00 2.91 .1841 1 1.00 3.03 .1842 1 1.00 2.99 .1843 1 1.00 2.98 .1844 1 1.00 2.77 .1845 1 1.00 3.12 .1846 1 1.00 2.87 .1847 1 1.00 2.95 .1848 1 1.00 2.93 .1849 1 1.00 2.92 .1850 1 1.00 3.05 .1851 2 1.00 2.83 .1852 2 1.00 3.36 .1853 1 1.00 2.97 .1854 1 1.00 3.11 .1855 1 1.00 3.02 .1856 1 1.00 3.05 .1857 1 1.00 2.83 .1858 1 1.00 2.94 .1859 1 1.00 2.92 .1860 1 1.00 2.90 .1861 1 1.00 2.91 .1862 1 1.00 3.03 .1863 1 1.00 3.07 .1864 1 1.00 3.35 .1865 1 1.00 2.97 .1866 1 1.00 2.95 .1867 1 1.00 2.97 .1868 1 1.00 3.02 .1869 1 1.00 3.31 .1870 1 1.00 2.91 .1871 1 1.00 2.96 .1872 1 1.00 2.90 .1873 1 1.00 2.92 .1874 1 1.00 2.97 .1875 1 1.00 2.99 .1876 1 1.00 2.93 .1877 1 1.00 2.97 .1878 1 1.00 2.92 .1879 1 1.00 3.11 .1880 2 1.00 3.04 .1881 1 1.00 3.01 .1882 1 1.00 2.98 .1883 1 1.00 2.97 .1884 1 1.00 2.91 .1885 1 1.00 3.15 .1886 1 1.00 2.97 .1887 4 1.00 3.45 .1888 2 1.00 3.43 .1889 1 1.00 2.99 .1890 1 1.00 2.80 .1891 1 1.00 3.11 .1892 1 1.00 2.98 .1893 1 1.00 3.03 .1894 1 1.00 3.01 .1895 1 1.00 2.88 .1896 1 1.00 2.92 .1897 1 1.00 3.00 .1898 1 1.00 2.92 .1899 2 1.00 2.93 .1900 1 1.00 2.90 .1901 1 1.00 2.93 .1902 1 1.00 2.99 .1903 1 1.00 2.97 .1904 1 1.00 3.00 .1905 1 1.00 3.03 .1906 1 1.00 2.81 .1907 1 1.00 2.77 .1908 1 1.00 2.76 .1909 2 1.00 2.88 .1910 1 1.00 2.84 .1911 1 1.00 2.99 .1912 1 1.00 2.77 .1913 1 1.00 2.93 .1914 1 1.00 2.84 .1915 1 1.00 2.93 .1916 1 1.00 2.74 .1917 1 1.00 2.78 .1918 1 1.00 2.91 .1919 1 1.00 3.01 .1920 1 1.00 2.72 .1921 1 1.00 2.81 .1922 1 1.00 2.83 .1923 1 1.00 2.86 .1924 1 1.00 2.76 .1925 1 1.00 2.78 .1926 1 1.00 2.92 .1927 1 1.00 2.74 .1928 1 1.00 2.77 .1929 1 1.00 2.96 .1930 1 1.00 2.86 .1931 1 1.00 2.86 .1932 1 1.00 2.80 .1933 1 1.00 2.79 .1934 1 1.00 2.61 .1935 1 1.00 2.82 .1936 2 1.00 2.75 .1937 1 1.00 2.60 .1938 1 1.00 3.10 .1939 1 1.00 2.66 .1940 1 1.00 2.61 .1941 1 1.00 2.76 .1942 2 1.00 2.69 .1943 1 1.00 2.62 .1944 1 1.00 2.68 .1945 1 1.00 2.69 .1946 1 1.00 2.71 .1947 1 1.00 2.81 .1948 1 1.00 2.71 .1949 1 1.00 2.64 .1950 1 1.00 2.68 .1951 1 1.00 2.71 .1952 1 1.00 2.63 .1953 1 1.00 2.63 .1954 1 1.00 2.66 .1955 1 1.00 2.75 .1956 1 1.00 3.02 .1957 1 1.00 2.71 .1958 1 1.00 2.57 .1959 1 1.00 2.70 .1960 1 1.00 2.47 .1961 1 1.00 2.52 .1962 1 1.00 2.51 .1963 1 1.00 2.53 .1964 1 1.00 2.78 .1965 1 1.00 2.49 .1966 1 1.00 2.65 .1967 1 1.00 2.57 .1968 1 1.00 2.59 .1969 1 1.00 2.36 .1970 2 1.00 2.73 .1971 1 1.00 2.72 .1972 1 1.00 2.60 .1973 1 1.00 2.46 .1974 2 1.00 2.49 .1975 1 1.00 2.60 .1976 1 1.00 2.50 .1977 1 1.00 2.54 .1978 1 1.00 2.63 .1979 1 1.00 2.49 .1980 1 1.00 2.53 .1981 1 1.00 2.39 .1982 1 1.00 2.55 .1983 1 1.00 2.57 .1984 1 1.00 2.33 .1985 1 1.00 2.35 .1986 1 1.00 2.47 .1987 1 1.00 2.45 .1988 1 1.00 3.09 .1989 1 1.00 2.43 .1990 1 1.00 2.54 .1991 1 1.00 2.63 .1992 1 1.00 2.52 .1993 1 1.00 2.28 .1994 1 1.00 2.38 .1995 1 1.00 2.38 .1996 1 1.00 2.36 .1997 1 1.00 2.35 .1998 1 1.00 2.39 .1999 1 1.00 2.27 .2000 1 1.00 2.28 .2001 1 1.00 2.37 .2002 1 1.00 2.38 .2003 1 1.00 2.30 .2004 2 1.00 2.43 .2005 2 1.00 2.37 .2006 1 1.00 2.32 .2007 1 1.00 2.28 .2008 1 1.00 2.32 .2009 1 1.00 2.32 .2010 1 1.00 2.37 .2011 1 1.00 2.46 .2012 1 1.00 2.20 .2013 1 1.00 2.21 .2014 1 1.00 2.28 .2015 1 1.00 2.37 .2016 1 1.00 2.27 .2017 1 1.00 2.25 .2018 1 1.00 2.34 .2019 1 1.00 2.32 .2020 1 1.00 2.10 .2021 1 1.00 2.20 .2022 1 1.00 2.29 .2023 1 1.00 2.13 .2024 1 1.00 2.36 .2025 1 1.00 2.15 .2026 1 1.00 2.17 .2027 1 1.00 2.13 .2028 1 1.00 2.06 .2029 1 1.00 2.07 .2030 2 1.00 2.33 .2031 2 1.00 2.40 .2032 1 1.00 2.18 .2033 1 1.00 2.31 .2034 1 1.00 2.17 .2035 1 1.00 2.04 .2036 2 1.00 2.20 .2037 1 1.00 2.13 .2038 2 1.00 2.03 .2039 1 1.00 2.08 .2040 1 1.00 2.04 .2041 1 1.00 2.06 .2042 1 1.00 2.03 .2043 1 1.00 2.06 .2044 1 1.00 2.09 .2045 1 1.00 2.16 .2046 1 1.00 2.16 .2047 1 1.00 2.08 EXTRACT_IMAGE: b2: masked 134 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITFLATWIDTH: b2: Median spatial widths = 0.90 0.91 0.90 0.91 pix (LL LR UL UR) SPCALIB: b2: Using Cubic, median chi squareds: vs SPCALIB: b2: Found 0 bright pixels in extracted flat sdR-b2-00034591.fit SPCALIB: b2: Extracting arc # 1 of 2 SPCALIB: b2: Reading arc sdR-b2-00034586.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.75532 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1232.45 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1213. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.28990 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1203.57 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1187. DN is 0 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Fraction of bad pixels in arc = 6.07967e-05 SPCALIB: b2: Arc sdR-b2-00034586.fit paired with flat sdR-b2-00034585.fit MATCH_TRACE: b2: Iteration: 0 Pixels Rejected: 1684 Finished? 0 MATCH_TRACE: b2: Iteration: 1 Pixels Rejected: 61 Finished? 0 MATCH_TRACE: b2: Iteration: 2 Pixels Rejected: 7 Finished? 0 MATCH_TRACE: b2: Iteration: 3 Pixels Rejected: 0 Finished? 1 SPCALIB: b2: Shifting traces with match_trace 0.00231934 SPCALIB: b2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.08 .0001 1 0.91 1.04 .0002 1 0.91 1.07 .0003 1 0.91 1.32 .0004 1 0.91 2.10 .0005 1 0.91 1.82 .0006 1 0.91 2.11 .0007 1 0.91 1.82 .0008 1 0.91 1.71 .0009 1 0.91 1.61 .0010 1 0.91 1.38 .0011 1 0.91 1.27 .0012 1 0.91 1.13 .0013 1 0.91 1.06 .0014 1 0.91 1.08 .0015 1 0.91 1.00 .0016 1 0.91 1.01 .0017 1 0.91 1.05 .0018 1 0.91 1.11 .0019 1 0.91 2.13 .0020 1 0.91 5.43 .0021 1 0.91 4.16 .0022 1 0.91 6.80 .0023 1 0.91 5.69 .0024 1 0.91 4.88 .0025 1 0.91 5.04 .0026 1 0.91 4.13 .0027 1 0.91 3.52 .0028 1 0.91 2.43 .0029 1 0.91 1.74 .0030 1 0.91 1.14 .0031 1 0.91 0.97 .0032 1 0.91 1.03 .0033 1 0.91 1.02 .0034 1 0.91 1.00 .0035 1 0.91 0.99 .0036 1 0.91 0.96 .0037 1 0.91 0.98 .0038 1 0.91 0.98 .0039 3 0.91 1.00 .0040 2 0.91 1.02 .0041 1 0.91 0.93 .0042 1 0.91 0.97 .0043 1 0.91 1.01 .0044 2 0.91 1.01 .0045 1 0.91 0.98 .0046 1 0.91 1.00 .0047 1 0.91 0.93 .0048 1 0.91 0.96 .0049 1 0.91 0.93 .0050 1 0.91 1.00 .0051 1 0.91 0.92 .0052 1 0.91 1.01 .0053 1 0.91 1.01 .0054 1 0.91 0.96 .0055 1 0.91 0.97 .0056 1 0.91 1.63 .0057 1 0.91 2.14 .0058 1 0.91 2.78 .0059 1 0.91 3.27 .0060 1 0.91 3.12 .0061 1 0.91 2.76 .0062 1 0.91 2.38 .0063 1 0.91 2.24 .0064 2 0.91 2.31 .0065 2 0.91 1.68 .0066 1 0.91 1.38 .0067 1 0.91 1.07 .0068 1 0.91 1.03 .0069 1 0.91 1.00 .0070 1 0.91 0.91 .0071 1 0.91 0.94 .0072 1 0.91 1.04 .0073 1 0.91 1.02 .0074 1 0.91 1.10 .0075 1 0.91 2.09 .0076 1 0.91 1.58 .0077 1 0.91 2.01 .0078 1 0.91 1.77 .0079 1 0.91 1.58 .0080 3 0.91 1.47 .0081 1 0.91 1.56 .0082 1 0.91 1.33 .0083 1 0.91 1.20 .0084 1 0.91 1.01 .0085 1 0.91 0.95 .0086 1 0.91 0.91 .0087 1 0.91 0.97 .0088 1 0.91 0.89 .0089 1 0.91 0.90 .0090 1 0.91 0.91 .0091 1 0.91 0.99 .0092 1 0.91 1.03 .0093 2 0.91 0.93 .0094 1 0.91 0.92 .0095 1 0.91 0.97 .0096 1 0.91 1.01 .0097 1 0.91 0.98 .0098 1 0.91 1.02 .0099 1 0.91 1.07 .0100 2 0.91 1.13 .0101 3 0.91 0.98 .0102 1 0.91 0.97 .0103 1 0.91 0.93 .0104 1 0.91 0.95 .0105 1 0.91 0.95 .0106 1 0.91 0.97 .0107 1 0.91 0.92 .0108 1 0.91 0.95 .0109 2 0.91 1.04 .0110 1 0.91 1.20 .0111 1 0.91 1.13 .0112 1 0.91 1.22 .0113 1 0.91 1.18 .0114 1 0.91 1.21 .0115 1 0.91 1.11 .0116 1 0.91 1.15 .0117 1 0.91 1.06 .0118 1 0.91 1.02 .0119 1 0.91 0.94 .0120 1 0.91 0.97 .0121 1 0.91 0.95 .0122 1 0.91 0.92 .0123 1 0.91 0.99 .0124 1 0.91 0.99 .0125 1 0.91 0.96 .0126 1 0.91 0.93 .0127 1 0.91 0.93 .0128 1 0.91 0.93 .0129 1 0.91 0.96 .0130 1 0.91 0.98 .0131 1 0.91 0.90 .0132 1 0.91 0.96 .0133 1 0.91 1.00 .0134 1 0.91 0.96 .0135 1 0.91 0.97 .0136 1 0.91 0.93 .0137 1 0.91 0.98 .0138 1 0.91 0.99 .0139 1 0.91 0.95 .0140 1 0.91 0.96 .0141 1 0.91 0.96 .0142 1 0.91 0.92 .0143 1 0.91 0.97 .0144 1 0.91 1.03 .0145 1 0.91 0.95 .0146 2 0.91 1.11 .0147 3 0.91 0.98 .0148 1 0.91 0.95 .0149 1 0.91 0.98 .0150 1 0.91 1.05 .0151 1 0.91 0.96 .0152 1 0.91 1.07 .0153 1 0.91 1.08 .0154 1 0.91 1.33 .0155 1 0.91 1.28 .0156 2 0.91 1.25 .0157 2 0.91 1.34 .0158 1 0.91 1.24 .0159 1 0.91 1.13 .0160 1 0.91 1.09 .0161 3 0.91 1.01 .0162 1 0.91 1.05 .0163 1 0.91 0.99 .0164 1 0.91 0.97 .0165 1 0.91 1.00 .0166 1 0.91 0.94 .0167 2 0.91 1.15 .0168 1 0.91 1.09 .0169 1 0.91 1.05 .0170 1 0.91 1.16 .0171 2 0.91 0.98 .0172 1 0.91 0.97 .0173 1 0.91 1.07 .0174 1 0.91 1.05 .0175 1 0.91 0.97 .0176 1 0.91 1.01 .0177 3 0.91 1.60 .0178 2 0.91 3.15 .0179 1 0.91 2.57 .0180 2 0.91 3.31 .0181 2 0.91 2.84 .0182 1 0.91 2.89 .0183 1 0.91 2.70 .0184 1 0.91 2.47 .0185 1 0.91 2.35 .0186 1 0.91 1.99 .0187 1 0.91 1.58 .0188 1 0.91 1.32 .0189 1 0.91 1.13 .0190 1 0.91 1.08 .0191 1 0.91 0.97 .0192 1 0.91 1.02 .0193 1 0.91 1.02 .0194 1 0.91 1.02 .0195 1 0.91 1.01 .0196 1 0.91 1.07 .0197 1 0.91 1.01 .0198 1 0.91 1.00 .0199 1 0.91 1.05 .0200 1 0.91 1.03 .0201 1 0.91 0.99 .0202 1 0.91 1.06 .0203 1 0.91 1.03 .0204 1 0.91 1.01 .0205 1 0.91 1.11 .0206 1 0.91 1.06 .0207 1 0.91 1.02 .0208 1 0.91 1.00 .0209 1 0.91 0.99 .0210 1 0.91 1.02 .0211 1 0.91 1.02 .0212 1 0.91 0.98 .0213 1 0.91 0.96 .0214 1 0.91 0.97 .0215 1 0.91 1.02 .0216 1 0.91 1.06 .0217 1 0.91 1.08 .0218 1 0.91 0.99 .0219 1 0.91 0.99 .0220 1 0.91 0.97 .0221 1 0.91 1.03 .0222 1 0.91 1.00 .0223 1 0.91 0.99 .0224 1 0.91 1.07 .0225 1 0.91 1.02 .0226 1 0.91 1.00 .0227 1 0.91 1.29 .0228 1 0.91 1.48 .0229 1 0.91 2.50 .0230 1 0.91 2.36 .0231 3 0.91 3.13 .0232 3 0.91 2.52 .0233 1 0.91 2.24 .0234 1 0.91 1.75 .0235 1 0.91 1.70 .0236 1 0.91 1.70 .0237 1 0.91 1.37 .0238 1 0.91 1.23 .0239 3 0.91 1.16 .0240 1 0.91 1.29 .0241 1 0.91 1.07 .0242 2 0.91 1.15 .0243 1 0.91 1.00 .0244 1 0.90 1.05 .0245 1 0.90 1.09 .0246 1 0.90 1.05 .0247 1 0.90 0.99 .0248 1 0.90 1.02 .0249 1 0.90 1.13 .0250 1 0.90 1.12 .0251 1 0.90 1.49 .0252 1 0.90 2.99 .0253 1 0.90 2.44 .0254 1 0.90 3.54 .0255 2 0.90 2.76 .0256 1 0.90 2.48 .0257 2 0.90 2.53 .0258 3 0.90 2.07 .0259 1 0.90 2.04 .0260 1 0.90 2.16 .0261 1 0.90 1.49 .0262 1 0.90 1.39 .0263 1 0.90 1.06 .0264 1 0.90 1.06 .0265 1 0.90 1.05 .0266 1 0.90 1.00 .0267 1 0.90 1.03 .0268 1 0.90 1.00 .0269 2 0.90 1.09 .0270 1 0.90 1.24 .0271 1 0.90 1.08 .0272 1 0.90 1.02 .0273 1 0.90 0.99 .0274 1 0.90 0.92 .0275 1 0.90 1.00 .0276 1 0.90 1.04 .0277 1 0.90 1.00 .0278 1 0.90 0.93 .0279 1 0.90 1.02 .0280 1 0.90 0.97 .0281 1 0.90 1.00 .0282 1 0.90 1.03 .0283 1 0.90 0.99 .0284 1 0.90 1.06 .0285 1 0.90 0.97 .0286 1 0.90 1.02 .0287 1 0.90 1.00 .0288 1 0.90 0.99 .0289 1 0.90 1.02 .0290 2 0.90 1.12 .0291 1 0.90 1.04 .0292 2 0.90 1.09 .0293 1 0.90 1.05 .0294 1 0.90 1.01 .0295 1 0.90 1.08 .0296 1 0.90 1.02 .0297 1 0.90 1.10 .0298 1 0.90 1.04 .0299 1 0.90 1.03 .0300 1 0.90 1.77 .0301 1 0.90 2.07 .0302 2 0.90 5.89 .0303 1 0.90 3.84 .0304 1 0.90 5.35 .0305 1 0.90 4.24 .0306 1 0.90 3.70 .0307 1 0.90 4.09 .0308 1 0.90 3.01 .0309 1 0.90 2.80 .0310 1 0.90 3.03 .0311 2 0.90 2.22 .0312 2 0.90 1.60 .0313 1 0.90 1.34 .0314 1 0.90 1.13 .0315 1 0.90 1.22 .0316 2 0.90 1.12 .0317 2 0.90 1.90 .0318 1 0.90 2.31 .0319 1 0.90 6.53 .0320 1 0.90 4.50 .0321 1 0.90 6.18 .0322 1 0.90 4.53 .0323 1 0.90 4.06 .0324 1 0.90 4.27 .0325 1 0.90 3.14 .0326 2 0.90 3.19 .0327 1 0.90 3.31 .0328 1 0.90 2.33 .0329 1 0.90 1.73 .0330 1 0.90 1.24 .0331 1 0.90 1.04 .0332 1 0.90 1.09 .0333 1 0.90 1.05 .0334 1 0.90 1.09 .0335 3 0.90 1.22 .0336 1 0.90 1.10 .0337 1 0.90 1.05 .0338 1 0.90 1.01 .0339 1 0.90 1.03 .0340 1 0.90 1.09 .0341 1 0.90 1.06 .0342 1 0.90 1.03 .0343 1 0.90 1.08 .0344 1 0.90 0.97 .0345 1 0.90 1.09 .0346 1 0.90 0.99 .0347 1 0.90 0.99 .0348 1 0.90 0.96 .0349 1 0.90 1.06 .0350 1 0.90 0.96 .0351 1 0.90 0.98 .0352 2 0.90 1.00 .0353 1 0.90 1.00 .0354 1 0.90 0.98 .0355 1 0.90 1.05 .0356 1 0.90 0.95 .0357 1 0.90 0.98 .0358 1 0.90 1.01 .0359 1 0.90 0.99 .0360 1 0.90 1.05 .0361 1 0.90 1.07 .0362 3 0.90 0.97 .0363 2 0.90 1.02 .0364 1 0.90 0.97 .0365 1 0.90 0.98 .0366 1 0.90 1.00 .0367 1 0.90 1.03 .0368 1 0.90 1.00 .0369 1 0.90 1.02 .0370 1 0.90 1.01 .0371 1 0.90 1.03 .0372 1 0.90 0.99 .0373 1 0.90 0.94 .0374 1 0.90 1.01 .0375 1 0.90 0.98 .0376 1 0.90 0.97 .0377 1 0.90 0.95 .0378 3 0.90 0.97 .0379 1 0.90 1.03 .0380 1 0.90 0.97 .0381 1 0.90 1.00 .0382 1 0.90 1.02 .0383 1 0.90 1.05 .0384 1 0.90 0.99 .0385 1 0.90 0.98 .0386 1 0.90 1.01 .0387 1 0.90 1.03 .0388 1 0.90 0.98 .0389 1 0.90 1.05 .0390 1 0.90 1.01 .0391 1 0.90 1.03 .0392 1 0.90 0.97 .0393 1 0.90 0.97 .0394 1 0.90 0.94 .0395 1 0.90 1.04 .0396 1 0.90 0.96 .0397 1 0.90 1.03 .0398 1 0.90 0.99 .0399 1 0.90 0.99 .0400 1 0.90 1.04 .0401 1 0.90 0.99 .0402 1 0.90 1.09 .0403 1 0.90 1.00 .0404 1 0.90 1.01 .0405 1 0.90 1.17 .0406 2 0.90 1.00 .0407 1 0.90 1.05 .0408 1 0.90 0.96 .0409 1 0.90 0.99 .0410 1 0.90 1.01 .0411 1 0.90 0.98 .0412 1 0.90 1.00 .0413 1 0.90 1.06 .0414 1 0.90 1.04 .0415 1 0.90 0.97 .0416 1 0.90 0.99 .0417 1 0.90 1.04 .0418 1 0.90 0.98 .0419 2 0.90 0.99 .0420 2 0.90 1.13 .0421 3 0.90 1.02 .0422 1 0.90 1.03 .0423 1 0.90 0.98 .0424 1 0.90 1.01 .0425 1 0.90 0.97 .0426 1 0.90 0.99 .0427 1 0.90 0.97 .0428 1 0.90 1.01 .0429 1 0.90 0.99 .0430 1 0.90 1.07 .0431 1 0.90 1.07 .0432 1 0.90 0.97 .0433 1 0.90 1.01 .0434 1 0.90 1.06 .0435 1 0.90 1.07 .0436 1 0.90 0.98 .0437 1 0.90 0.94 .0438 1 0.90 0.98 .0439 1 0.90 0.98 .0440 1 0.90 1.00 .0441 1 0.90 1.02 .0442 1 0.90 0.98 .0443 1 0.90 0.98 .0444 1 0.90 1.02 .0445 1 0.90 1.00 .0446 1 0.90 0.96 .0447 1 0.90 1.00 .0448 1 0.90 0.99 .0449 1 0.90 0.98 .0450 2 0.90 1.02 .0451 2 0.90 0.99 .0452 1 0.90 1.04 .0453 1 0.90 1.01 .0454 1 0.90 1.01 .0455 1 0.90 0.96 .0456 1 0.90 0.94 .0457 1 0.90 0.93 .0458 3 0.90 1.01 .0459 2 0.90 0.99 .0460 1 0.90 1.03 .0461 1 0.90 1.05 .0462 2 0.90 1.08 .0463 1 0.90 0.98 .0464 1 0.90 1.06 .0465 1 0.90 1.01 .0466 1 0.90 1.00 .0467 1 0.90 1.00 .0468 1 0.90 1.03 .0469 1 0.90 1.04 .0470 1 0.90 1.00 .0471 1 0.90 1.04 .0472 1 0.90 1.05 .0473 1 0.90 0.97 .0474 1 0.90 1.04 .0475 1 0.90 0.97 .0476 1 0.90 1.02 .0477 1 0.90 1.02 .0478 1 0.90 1.01 .0479 1 0.90 1.02 .0480 1 0.90 1.01 .0481 1 0.90 1.11 .0482 1 0.90 1.08 .0483 1 0.90 1.05 .0484 1 0.90 1.09 .0485 1 0.90 1.17 .0486 1 0.90 1.24 .0487 1 0.90 1.33 .0488 1 0.90 1.46 .0489 1 0.90 1.41 .0490 1 0.90 1.48 .0491 1 0.90 1.27 .0492 1 0.90 1.26 .0493 1 0.90 1.56 .0494 1 0.90 1.31 .0495 1 0.90 1.30 .0496 1 0.90 1.22 .0497 1 0.90 1.21 .0498 1 0.90 1.11 .0499 1 0.90 1.13 .0500 1 0.90 1.11 .0501 2 0.90 1.17 .0502 1 0.90 1.10 .0503 1 0.90 1.08 .0504 1 0.90 1.13 .0505 1 0.90 1.04 .0506 1 0.90 1.08 .0507 1 0.90 1.06 .0508 1 0.90 1.04 .0509 1 0.90 1.06 .0510 1 0.90 1.24 .0511 3 0.90 1.09 .0512 1 0.90 1.16 .0513 1 0.90 1.08 .0514 1 0.90 1.06 .0515 1 0.90 1.01 .0516 1 0.90 1.09 .0517 1 0.90 1.06 .0518 1 0.90 1.09 .0519 1 0.90 1.03 .0520 1 0.90 1.08 .0521 1 0.90 1.07 .0522 1 0.90 1.10 .0523 1 0.90 1.04 .0524 2 0.90 1.13 .0525 1 0.90 1.00 .0526 1 0.90 1.06 .0527 1 0.90 1.06 .0528 1 0.90 1.03 .0529 1 0.90 1.09 .0530 1 0.90 1.06 .0531 1 0.90 1.07 .0532 1 0.90 1.09 .0533 1 0.90 1.04 .0534 1 0.90 1.00 .0535 3 0.90 1.01 .0536 1 0.90 1.06 .0537 1 0.90 1.13 .0538 1 0.90 1.08 .0539 2 0.90 1.13 .0540 1 0.90 1.13 .0541 1 0.90 1.15 .0542 1 0.90 1.06 .0543 1 0.90 1.17 .0544 1 0.90 1.09 .0545 1 0.90 1.08 .0546 1 0.90 1.17 .0547 2 0.90 1.07 .0548 1 0.90 1.15 .0549 1 0.90 1.12 .0550 1 0.90 1.11 .0551 1 0.90 1.15 .0552 1 0.90 1.16 .0553 1 0.90 1.14 .0554 1 0.90 1.12 .0555 1 0.90 1.09 .0556 1 0.90 1.12 .0557 2 0.90 1.20 .0558 1 0.90 1.14 .0559 1 0.90 1.11 .0560 1 0.90 1.15 .0561 1 0.90 1.24 .0562 1 0.90 1.54 .0563 1 0.90 2.02 .0564 2 0.90 2.16 .0565 1 0.90 2.38 .0566 1 0.90 2.60 .0567 2 0.90 2.95 .0568 1 0.90 10.92 .0569 1 0.90 16.55 .0570 1 0.90 20.62 .0571 1 0.90 24.46 .0572 1 0.90 24.56 .0573 1 0.90 18.40 .0574 1 0.90 15.69 .0575 2 0.90 16.20 .0576 1 0.90 17.43 .0577 1 0.90 14.11 .0578 1 0.90 13.40 .0579 1 0.90 15.37 .0580 1 0.90 13.30 .0581 1 0.90 8.89 .0582 1 0.90 4.44 .0583 1 0.90 2.28 .0584 1 0.90 1.67 .0585 1 0.90 1.44 .0586 1 0.90 1.35 .0587 1 0.90 1.23 .0588 1 0.90 1.20 .0589 1 0.90 1.14 .0590 1 0.90 1.11 .0591 1 0.90 1.17 .0592 1 0.90 1.19 .0593 1 0.90 1.10 .0594 1 0.90 1.15 .0595 1 0.90 1.08 .0596 1 0.90 1.12 .0597 1 0.90 1.08 .0598 1 0.90 1.05 .0599 1 0.90 1.14 .0600 2 0.90 1.06 .0601 1 0.90 1.11 .0602 1 0.90 1.09 .0603 1 0.90 1.11 .0604 1 0.90 1.07 .0605 1 0.90 1.19 .0606 1 0.90 1.07 .0607 1 0.90 1.14 .0608 1 0.90 1.01 .0609 1 0.90 1.06 .0610 1 0.90 1.10 .0611 1 0.90 1.08 .0612 1 0.90 1.07 .0613 1 0.90 1.01 .0614 1 0.90 1.15 .0615 1 0.90 1.08 .0616 1 0.90 1.06 .0617 1 0.90 1.05 .0618 1 0.90 1.10 .0619 2 0.90 1.15 .0620 2 0.90 1.07 .0621 1 0.90 1.06 .0622 1 0.90 1.06 .0623 1 0.90 1.13 .0624 1 0.90 1.06 .0625 3 0.90 1.06 .0626 2 0.90 1.31 .0627 1 0.90 1.06 .0628 1 0.90 1.05 .0629 1 0.90 1.06 .0630 1 0.90 1.03 .0631 1 0.90 1.03 .0632 1 0.90 1.06 .0633 1 0.90 1.05 .0634 1 0.90 1.05 .0635 1 0.90 1.05 .0636 1 0.90 1.04 .0637 1 0.90 1.07 .0638 1 0.90 1.06 .0639 1 0.90 0.95 .0640 1 0.90 1.05 .0641 1 0.90 1.09 .0642 1 0.90 1.07 .0643 1 0.90 0.99 .0644 1 0.90 1.01 .0645 1 0.90 1.02 .0646 2 0.90 1.06 .0647 1 0.90 1.08 .0648 1 0.90 0.99 .0649 1 0.90 1.09 .0650 1 0.90 0.99 .0651 1 0.90 1.01 .0652 2 0.90 1.00 .0653 1 0.90 1.07 .0654 3 0.90 1.00 .0655 1 0.90 1.01 .0656 1 0.90 0.99 .0657 1 0.90 1.06 .0658 1 0.90 1.03 .0659 1 0.90 1.09 .0660 1 0.90 1.00 .0661 1 0.90 0.98 .0662 1 0.90 1.02 .0663 1 0.90 1.06 .0664 1 0.90 1.04 .0665 1 0.90 0.97 .0666 1 0.90 1.01 .0667 1 0.90 1.02 .0668 1 0.90 1.02 .0669 1 0.90 0.96 .0670 1 0.90 0.97 .0671 1 0.90 1.02 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0.90 1.01 .2004 2 0.90 1.00 .2005 1 0.91 0.97 .2006 1 0.91 0.89 .2007 1 0.91 0.87 .2008 1 0.91 0.91 .2009 1 0.91 0.92 .2010 1 0.91 0.91 .2011 1 0.91 0.93 .2012 1 0.91 0.96 .2013 1 0.91 0.92 .2014 1 0.91 0.92 .2015 1 0.91 0.86 .2016 1 0.91 0.93 .2017 1 0.91 0.98 .2018 1 0.91 0.94 .2019 2 0.91 1.02 .2020 2 0.91 1.16 .2021 2 0.91 1.14 .2022 1 0.91 0.94 .2023 1 0.91 0.92 .2024 1 0.91 0.90 .2025 1 0.91 0.91 .2026 1 0.91 0.86 .2027 1 0.91 0.94 .2028 1 0.91 0.91 .2029 1 0.91 0.92 .2030 1 0.91 0.89 .2031 1 0.91 0.87 .2032 1 0.91 1.10 .2033 3 0.91 0.92 .2034 1 0.91 1.01 .2035 1 0.91 0.94 .2036 1 0.91 0.88 .2037 1 0.91 0.92 .2038 1 0.91 0.88 .2039 1 0.91 0.91 .2040 1 0.91 0.92 .2041 1 0.91 0.84 .2042 1 0.91 0.93 .2043 1 0.91 0.94 .2044 1 0.91 0.86 .2045 1 0.91 0.95 .2046 1 0.91 0.89 .2047 1 0.91 0.91 EXTRACT_IMAGE: b2: masked 383 pixels SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b2: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b2: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Searching about coefficients = 3.68951 -0.10542 -0.00419 0.00016 ARCFIT_ITER: b2: Searching lags from -146 to 145 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Initial wavelength fit = 3.68951 -0.10542 -0.00431 0.00020 ARCFIT_GUESS: b2: Initial correlation = 0.782505 FITARCIMAGE_GLOBAL: b2: Best correlation = 0.782505 FITARCIMAGE_GLOBAL: b2: ASET = 3.68951 -0.10542 -0.00431 0.00020 SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Iterating flux-weighted centers . 0 320 0.061 . 1 320 0.063 . 2 320 0.060 . 3 320 0.064 . 4 320 0.059 . 5 320 0.060 . 6 320 0.057 . 7 320 0.054 . 8 320 0.058 . 9 320 0.056 . 10 320 0.059 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 11 0 -0.67736312 0.20498891 . 11 320 0.055 . 12 320 0.061 . 13 320 0.059 . 14 320 0.066 . 15 320 0.054 . 16 320 0.056 . 17 320 0.055 . 18 320 0.066 . 19 320 0.055 . 20 320 0.056 . 21 320 0.057 . 22 320 0.058 . 23 320 0.057 . 24 320 0.055 . 25 320 0.061 . 26 320 0.052 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 27 0 22.996840 0.28725122 . 27 320 0.057 . 28 320 0.058 . 29 320 0.062 . 30 320 0.055 . 31 320 0.055 . 32 320 0.057 . 33 320 0.066 . 34 320 0.070 . 35 320 0.057 . 36 320 0.061 . 37 320 0.056 . 38 320 0.062 . 39 320 0.054 . 40 320 0.058 . 41 320 0.065 . 42 320 0.053 . 43 320 0.057 . 44 320 0.057 . 45 320 0.059 . 46 320 0.053 . 47 320 0.060 . 48 320 0.058 . 49 320 0.056 . 50 320 0.060 . 51 320 0.061 . 52 320 0.062 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 53 0 40.649383 0.25669631 . 53 320 0.050 . 54 320 0.052 . 55 320 0.058 . 56 320 0.057 . 57 320 0.056 . 58 320 0.057 . 59 320 0.068 . 60 320 0.058 . 61 320 0.057 . 62 320 0.054 . 63 320 0.053 . 64 320 0.058 . 65 320 0.049 . 66 320 0.061 . 67 320 0.053 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 68 0 0.47941689 0.20298567 . 68 320 0.433 . 69 320 0.058 . 70 320 0.054 . 71 320 0.054 . 72 320 0.054 . 73 320 0.055 . 74 320 0.058 . 75 320 0.052 . 76 320 0.060 . 77 320 0.054 . 78 320 0.059 . 79 320 0.059 . 80 320 0.056 . 81 320 0.054 . 82 320 0.058 . 83 320 0.057 . 84 320 0.061 . 85 320 0.062 . 86 320 0.060 . 87 320 0.056 . 88 320 0.057 . 89 320 0.058 . 90 320 0.059 . 91 320 0.054 . 92 320 0.059 . 93 320 0.058 . 94 320 0.057 . 95 320 0.057 . 96 320 0.057 . 97 320 0.055 . 98 320 0.057 . 99 320 0.054 . 100 320 0.056 . 101 320 0.056 . 102 320 0.058 . 103 320 0.054 . 104 320 0.054 . 105 320 0.054 . 106 320 0.053 . 107 320 0.053 . 108 320 0.056 . 109 320 0.056 . 110 320 0.059 . 111 320 0.064 . 112 320 0.055 . 113 320 0.057 . 114 320 0.054 . 115 320 0.056 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 116 0 12.189514 0.21506476 . 116 320 0.057 . 117 320 0.053 . 118 320 0.066 . 119 320 0.055 . 120 320 0.065 . 121 320 0.061 . 122 320 0.063 . 123 320 0.052 . 124 320 0.053 . 125 320 0.060 . 126 320 0.053 . 127 320 0.053 . 128 320 0.054 . 129 320 0.052 . 130 320 0.057 . 131 320 0.054 . 132 320 0.061 . 133 320 0.053 . 134 320 0.062 . 135 320 0.058 . 136 320 0.058 . 137 320 0.058 . 138 320 0.064 . 139 320 0.064 . 140 320 0.053 . 141 320 0.060 . 142 320 0.058 . 143 320 0.058 . 144 320 0.064 . 145 320 0.058 . 146 320 0.057 . 147 320 0.052 . 148 320 0.060 . 149 320 0.062 . 150 320 0.060 . 151 320 0.065 . 152 320 0.059 . 153 320 0.057 . 154 320 0.063 . 155 320 0.055 . 156 320 0.059 . 157 320 0.058 . 158 320 0.060 . 159 320 0.061 . 160 320 0.059 . 161 320 0.057 . 162 320 0.053 . 163 320 0.057 . 164 320 0.059 . 165 320 0.054 . 166 320 0.059 . 167 320 0.060 . 168 320 0.055 . 169 320 0.051 . 170 320 0.058 . 171 320 0.055 . 172 320 0.056 . 173 320 0.059 . 174 320 0.055 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 175 5 15.598491 4.2793071 0.84042915 -0.0000000 25741.994 5 . 175 320 0.202 . 176 320 0.058 . 177 320 0.057 . 178 320 0.060 . 179 320 0.053 . 180 320 0.056 . 181 320 0.062 . 182 320 0.057 . 183 320 0.058 . 184 320 0.058 . 185 320 0.055 . 186 320 0.063 . 187 320 0.057 . 188 320 0.052 . 189 320 0.057 . 190 320 0.057 . 191 320 0.056 . 192 320 0.058 . 193 320 0.056 . 194 320 0.059 . 195 320 0.058 . 196 320 0.065 . 197 320 0.058 . 198 320 0.056 . 199 320 0.056 . 200 320 0.055 . 201 320 0.063 . 202 320 0.061 . 203 320 0.058 . 204 320 0.059 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 205 0 7.5748722 0.23051131 . 205 320 0.072 . 206 320 0.058 . 207 320 0.058 . 208 320 0.055 . 209 320 0.057 . 210 320 0.055 . 211 320 0.052 . 212 320 0.054 . 213 320 0.065 . 214 320 0.056 . 215 320 0.055 . 216 320 0.054 . 217 320 0.054 . 218 320 0.055 . 219 320 0.062 . 220 320 0.062 . 221 320 0.057 . 222 320 0.056 . 223 320 0.055 . 224 320 0.056 . 225 320 0.052 . 226 320 0.053 . 227 320 0.052 . 228 320 0.053 . 229 320 0.052 . 230 320 0.053 . 231 320 0.069 . 232 320 0.055 . 233 320 0.060 . 234 320 0.055 . 235 320 0.062 . 236 320 0.059 . 237 320 0.057 . 238 320 0.053 . 239 320 0.058 . 240 320 0.053 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -1.8518861 2.7863363 0.38008552 -0.0000000 9.0626859 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -25.176509 2.7703244 6.0573288 -0.0000000 65685.133 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -6.0066130 2.4341039 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -26.185391 3.2689143 0.50868751 -0.0000000 10.586580 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -2.1670363 3.3784431 0.78720521 -0.0000000 6.9915771 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -1.6269168 2.8225223 1.4437578 -0.0000000 8.3901567 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 6 1.7731424 2.4053989 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -7.1363712 2.5103490 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -29.484672 3.2002057 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -11.254912 2.9242064 0.42539579 -0.0000000 8.6863427 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -11.529292 3.3676356 0.41338200 0.41331180 8.5424017 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -6.2962805 2.8668138 0.41460537 -0.0000000 9.1117091 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -5.5059849 2.4667718 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 13 -2.1377927 2.8197927 0.51013653 -0.0000000 9.0137675 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -1.8435430 2.7558816 0.64931309 -0.0000000 8.8861922 1 . 241 320 0.142 . 242 320 0.056 . 243 320 0.058 . 244 320 0.053 . 245 320 0.059 . 246 320 0.056 . 247 320 0.057 . 248 320 0.056 . 249 320 0.055 . 250 320 0.051 . 251 320 0.052 . 252 320 0.051 . 253 320 0.056 . 254 320 0.050 . 255 320 0.052 . 256 320 0.051 . 257 320 0.051 . 258 320 0.052 . 259 320 0.052 . 260 320 0.054 . 261 320 0.054 . 262 320 0.053 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 0 -6.6671792 2.4710062 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -16.249057 2.6691808 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -8.6845079 3.1774018 1.7429527 1.8759512 9.0205854 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 263 3 -39.806442 0.27140684 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -0.090547567 2.8237728 0.71698073 -0.0000000 8.6120473 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 5 -5.1034515 2.8538751 0.37246226 -0.0000000 8.5252760 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 6 0.074015106 2.8386694 0.51704851 -0.0000000 8.8018256 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -3.7692003 2.8218752 0.38268563 -0.0000000 8.4133088 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -33.018150 3.2446075 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -10.805218 2.5545196 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -9.2052161 2.6316171 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 11 -11.543487 2.8414335 0.91483447 -0.0000000 8.7131071 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -1.0520285 2.5442015 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 263 13 -9.0588524 0.28177888 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 14 -0.010646677 2.8670423 0.49010336 -0.0000000 8.8282157 1 . 263 320 0.110 . 264 320 0.053 . 265 320 0.055 . 266 320 0.054 . 267 320 0.053 . 268 320 0.049 . 269 320 0.052 . 270 320 0.057 . 271 320 0.065 . 272 320 0.055 . 273 320 0.056 . 274 320 0.049 . 275 320 0.054 . 276 320 0.057 . 277 320 0.059 . 278 320 0.057 . 279 320 0.058 . 280 320 0.053 . 281 320 0.053 . 282 320 0.054 . 283 320 0.069 . 284 320 0.055 . 285 320 0.058 . 286 320 0.055 . 287 320 0.056 . 288 320 0.057 . 289 320 0.053 . 290 320 0.060 . 291 320 0.063 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -1.1311413 2.4639103 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -5.7870039 2.6327863 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -5.0773494 2.4450309 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -10.199050 2.8238935 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -1.8603400 2.8744630 0.46554833 -0.0000000 9.1767656 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 5 0.63670276 3.1565602 0.90774589 0.87578447 8.6067938 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -3.8888860 3.3669524 0.76342222 -0.0000000 6.8808117 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -4.2944149 2.8617932 0.96211050 -0.0000000 9.0334547 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 8 -40.233715 3.1711410 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -13.059037 2.9507031 0.45064493 -0.0000000 9.0640040 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -15.281473 2.9295253 0.43410147 -0.0000000 8.5421502 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 11 -7.2123000 3.5526910 1.3736769 1.5804702 8.2489738 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -10.434351 2.7655379 0.37323151 -0.0000000 9.0458626 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 13 -8.0483941 2.4163468 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 14 -3.7449685 2.4454326 0.0000000 0.0000000 0.0000000 1 . 292 320 0.086 . 293 320 0.051 . 294 320 0.058 . 295 320 0.055 . 296 320 0.055 . 297 320 0.060 . 298 320 0.055 . 299 320 0.062 . 300 320 0.063 . 301 320 0.059 . 302 320 0.054 . 303 320 0.064 . 304 320 0.053 . 305 320 0.057 . 306 320 0.058 . 307 320 0.055 . 308 320 0.057 . 309 320 0.056 . 310 320 0.054 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -2.0393260 2.8992187 0.48596215 -0.0000000 8.5887396 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -7.5653344 3.1636180 0.50944748 0.46235945 9.5665782 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -11.286111 3.6620732 0.60330975 0.71023802 7.6898754 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -21.205679 3.6753014 0.31127991 -0.0000000 7.5687227 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -3.0772192 2.7450840 0.63790897 -0.0000000 8.5448968 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 5 1.2601221 3.5577881 0.48674730 0.55424551 7.7296482 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 6 0.46510611 2.7918160 0.75203998 -0.0000000 8.5549921 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -3.0199112 2.5108047 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -11.011531 2.6139929 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -15.928117 2.8507121 1.4639229 -0.0000000 8.9428119 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -12.468518 2.8278409 0.61235627 -0.0000000 8.7180285 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -11.916199 2.8102009 0.48302302 -0.0000000 8.6442275 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -8.2603423 2.7751511 0.61658984 -0.0000000 8.3148419 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -9.0190658 3.3793546 0.77473261 -0.0000000 6.9084482 1 . 311 320 0.137 . 312 320 0.050 . 313 320 0.057 . 314 320 0.055 . 315 320 0.061 . 316 320 0.053 . 317 320 0.056 . 318 320 0.056 . 319 320 0.065 FITARCIMAGE_GLOBAL: b2: Line 0, at 3983.8390 Ang: ERR= 0.118172 ERR_RMS= 0.0266268 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 1, at 4046.5720 Ang: ERR= 0.00385341 ERR_RMS= 0.000184564 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 2, at 4077.8380 Ang: ERR= 0.0124171 ERR_RMS= 0.000781776 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 3, at 4358.3370 Ang: ERR= 0.00274517 ERR_RMS= 0.0151138 pix, 3 masked. FITARCIMAGE_GLOBAL: b2: Line 4, at 4678.1490 Ang: ERR= 0.0243893 ERR_RMS= 0.00249825 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Line 5, at 4799.9120 Ang: ERR= 0.0128953 ERR_RMS= 0.00281961 pix, 6 masked. FITARCIMAGE_GLOBAL: b2: Line 6, at 4916.0700 Ang: ERR= 0.0453297 ERR_RMS= 0.00484675 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 7, at 5085.8220 Ang: ERR= 0.00974830 ERR_RMS= 0.00171953 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 8, at 5460.7530 Ang: ERR= 0.00223134 ERR_RMS= 0.00773324 pix, 3 masked. FITARCIMAGE_GLOBAL: b2: Line 9, at 5769.5980 Ang: ERR= 0.00508846 ERR_RMS= 0.000244442 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 10, at 5790.6630 Ang: ERR= 0.00539367 ERR_RMS= 0.000261749 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 11, at 5852.4880 Ang: ERR= 0.00786236 ERR_RMS= 0.000423043 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 12, at 5881.8950 Ang: ERR= 0.00984652 ERR_RMS= 0.000666982 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 13, at 5944.8340 Ang: ERR= 0.00768495 ERR_RMS= 0.0154255 pix, 3 masked. FITARCIMAGE_GLOBAL: b2: Line 14, at 6029.9970 Ang: ERR= 0.0210440 ERR_RMS= 0.00157048 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b2: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 1 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 1 11 15 1 12 15 1 13 15 0 14 15 1 15 15 0 16 15 0 17 15 0 18 15 0 19 15 1 20 15 0 21 15 0 22 15 2 23 15 1 24 15 0 25 15 0 26 15 0 27 15 1 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 1 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 1 41 15 0 42 15 0 43 15 0 44 15 0 45 15 1 46 15 1 47 15 0 48 15 1 49 15 0 50 15 0 51 15 0 52 15 3 53 15 3 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 1 61 15 0 62 15 0 63 15 1 64 15 1 65 15 0 66 15 0 67 15 0 68 15 1 69 15 0 70 15 0 71 15 0 72 15 0 73 15 1 74 15 1 75 15 1 76 15 0 77 15 1 78 15 1 79 15 1 80 15 0 81 15 1 82 15 0 83 15 1 84 15 0 85 15 1 86 15 0 87 15 1 88 15 0 89 15 0 90 15 1 91 15 0 92 15 0 93 15 0 94 15 1 95 15 0 96 15 1 97 15 1 98 15 0 99 15 0 100 15 1 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 1 110 15 1 111 15 0 112 15 0 113 15 1 114 15 0 115 15 1 116 15 0 117 15 0 118 15 0 119 15 0 120 15 1 121 15 0 122 15 0 123 15 1 124 15 0 125 15 1 126 15 0 127 15 0 128 15 0 129 15 1 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 1 141 15 0 142 15 0 143 15 1 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 1 151 15 0 152 15 1 153 15 0 154 15 0 155 15 0 156 15 1 157 15 1 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 1 175 15 2 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 1 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 1 192 15 1 193 15 1 194 15 0 195 15 1 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 1 204 15 0 205 15 0 206 15 1 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 1 213 15 0 214 15 0 215 15 0 216 15 0 217 15 1 218 15 0 219 15 1 220 15 0 221 15 1 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 1 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 1 234 15 1 235 15 0 236 15 0 237 15 0 238 15 1 239 15 0 240 15 0 241 15 15 242 15 0 243 15 0 244 15 0 245 15 1 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 1 254 15 1 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 1 261 15 0 262 15 0 263 15 13 264 15 0 265 15 1 266 15 0 267 15 1 268 15 0 269 15 0 270 15 0 271 15 1 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 1 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 1 289 15 0 290 15 1 291 15 1 292 15 15 293 15 0 294 15 0 295 15 0 296 15 1 297 15 0 298 15 1 299 15 0 300 15 1 301 15 0 302 15 0 303 15 0 304 15 1 305 15 0 306 15 1 307 15 0 308 15 0 309 15 1 310 15 0 311 15 14 312 15 0 313 15 0 314 15 0 315 15 1 316 15 0 317 15 1 318 15 0 319 15 1 XY2TRACESET: b2: Total rejected = 149 Pass 1 complete FITARCIMAGE_GLOBAL: b2: Number of arclines after bundle test = 15 FITARCLINES: b2: ncoeffs (x,y): 4 5 FITARCLINES: b2: errored out 4 fibers: 241 263 292 311 FITARCLINES: b2: fit rchi2: 0.084203929 FITARCLINES: b2: offset stddev: 320 2.1895268e-13 FITARCLINES: b2: scale stddev: 320 3.5299485e-13 FITARCLINES: b2: poly x,y,stddev: 0 0 7.0262108e-07 FITARCLINES: b2: poly x,y,stddev: 1 0 2.0645342e-06 FITARCLINES: b2: poly x,y,stddev: 2 0 1.6251353e-06 FITARCLINES: b2: poly x,y,stddev: 3 0 3.2696907e-06 FITARCLINES: b2: poly x,y,stddev: 0 1 4.5712049e-07 FITARCLINES: b2: poly x,y,stddev: 1 1 1.3417578e-06 FITARCLINES: b2: poly x,y,stddev: 2 1 1.0575982e-06 FITARCLINES: b2: poly x,y,stddev: 3 1 2.1258206e-06 FITARCLINES: b2: poly x,y,stddev: 0 2 4.7805113e-07 FITARCLINES: b2: poly x,y,stddev: 1 2 1.4217413e-06 FITARCLINES: b2: poly x,y,stddev: 2 2 1.1297839e-06 FITARCLINES: b2: poly x,y,stddev: 3 2 2.2730532e-06 FITARCLINES: b2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: b2: IVAR=0 centroids masked: 61 Final arcfit complete FITARCIMAGE_GLOBAL: b2: Time 33. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 8 1.00 1.60 .0001 5 1.00 2.05 .0002 12 1.00 1.31 .0003 3 1.00 2.45 .0004 5 1.00 1.65 .0005 4 1.00 2.61 .0006 5 1.00 2.18 .0007 5 1.00 1.71 .0008 7 1.00 1.98 .0009 5 1.00 2.09 .0010 7 1.00 2.34 .0011 4 1.00 2.19 .0012 6 1.00 2.16 .0013 7 1.00 1.51 .0014 5 1.00 1.88 .0015 4 1.00 1.61 .0016 6 1.00 1.31 .0017 4 1.00 2.31 .0018 8 1.00 1.38 .0019 7 1.00 1.65 .0020 6 1.00 1.73 .0021 4 1.00 2.31 .0022 5 1.00 1.87 .0023 5 1.00 1.78 .0024 5 1.00 1.97 .0025 11 1.00 1.81 .0026 5 1.00 2.06 .0027 6 1.00 1.66 .0028 5 1.00 1.76 .0029 4 1.00 2.04 .0030 5 1.00 1.74 .0031 4 1.00 2.30 .0032 5 1.00 1.42 .0033 5 1.00 1.78 .0034 6 1.00 1.83 .0035 5 1.00 2.23 .0036 5 1.00 2.09 .0037 7 1.00 1.53 .0038 7 1.00 1.45 .0039 6 1.00 1.73 .0040 4 1.00 2.44 .0041 7 1.00 1.72 .0042 4 1.00 1.37 .0043 6 1.00 1.97 .0044 5 1.00 1.72 .0045 4 1.00 1.78 .0046 5 1.00 1.07 .0047 7 1.00 1.15 .0048 11 1.00 1.16 .0049 5 1.00 2.04 .0050 5 1.00 2.29 .0051 4 1.00 2.75 .0052 4 1.00 2.40 .0053 7 1.00 1.84 .0054 6 1.00 1.94 .0055 5 1.00 1.77 .0056 6 1.00 1.74 .0057 12 1.00 1.32 .0058 11 1.00 0.89 .0059 6 1.00 1.24 .0060 9 1.00 1.36 .0061 5 1.00 1.23 .0062 7 1.00 1.01 .0063 9 1.00 1.09 .0064 6 1.00 1.06 .0065 10 1.00 0.97 .0066 4 1.00 1.82 .0067 9 1.00 1.15 .0068 4 1.00 0.96 .0069 4 1.00 1.18 .0070 7 1.00 1.37 .0071 5 1.00 1.81 .0072 5 1.00 2.11 .0073 6 1.00 1.48 .0074 8 1.00 1.52 .0075 8 1.00 1.19 .0076 6 1.00 1.57 .0077 11 1.00 1.13 .0078 10 1.00 1.17 .0079 10 1.00 0.98 .0080 6 1.00 1.31 .0081 5 1.00 1.48 .0082 7 1.00 0.70 .0083 6 1.00 1.23 .0084 9 1.00 0.91 .0085 5 1.00 1.65 .0086 7 1.00 1.30 .0087 8 1.00 1.25 .0088 4 1.00 1.68 .0089 6 1.00 1.06 .0090 8 1.00 1.12 .0091 10 1.00 1.01 .0092 10 1.00 0.89 .0093 7 1.00 1.18 .0094 7 1.00 1.29 .0095 5 1.00 1.42 .0096 7 1.00 1.26 .0097 6 1.00 1.74 .0098 9 1.00 1.02 .0099 4 1.00 1.68 .0100 8 1.00 0.96 .0101 5 1.00 1.35 .0102 5 1.00 1.18 .0103 10 1.00 1.00 .0104 5 1.00 1.16 .0105 8 1.00 0.94 .0106 5 1.00 1.25 .0107 10 1.00 0.93 .0108 11 1.00 0.87 .0109 12 1.00 0.96 .0110 7 1.00 0.89 .0111 7 1.00 1.00 .0112 6 1.00 1.15 .0113 11 1.00 1.03 .0114 8 1.00 1.17 .0115 9 1.00 1.22 .0116 7 1.00 1.31 .0117 13 1.00 0.97 .0118 11 1.00 0.96 .0119 9 1.00 1.27 .0120 11 1.00 0.90 .0121 14 1.00 0.88 .0122 5 1.00 1.67 .0123 4 1.00 1.77 .0124 6 1.00 1.27 .0125 4 1.00 1.52 .0126 5 1.00 1.13 .0127 8 1.00 1.04 .0128 8 1.00 1.00 .0129 7 1.00 1.20 .0130 8 1.00 1.17 .0131 6 1.00 1.35 .0132 11 1.00 1.17 .0133 6 1.00 1.44 .0134 4 1.00 1.86 .0135 5 1.00 1.80 .0136 7 1.00 1.08 .0137 4 1.00 1.72 .0138 16 1.00 0.99 .0139 10 1.00 1.29 .0140 5 1.00 1.29 .0141 4 1.00 1.91 .0142 5 1.00 2.00 .0143 4 1.00 2.02 .0144 6 1.00 1.88 .0145 5 1.00 1.62 .0146 4 1.00 1.85 .0147 4 1.00 1.87 .0148 3 1.00 2.08 .0149 5 1.00 2.11 .0150 5 1.00 1.46 .0151 4 1.00 2.32 .0152 4 1.00 2.07 .0153 6 1.00 1.44 .0154 5 1.00 1.82 .0155 5 1.00 1.28 .0156 7 1.00 1.57 .0157 5 1.00 1.67 .0158 7 1.00 1.50 .0159 6 1.00 1.78 .0160 5 1.00 1.59 .0161 6 1.00 1.50 .0162 3 1.00 2.00 .0163 5 1.00 1.83 .0164 4 1.00 2.18 .0165 4 1.00 1.88 .0166 3 1.00 2.04 .0167 7 1.00 1.74 .0168 3 1.00 1.74 .0169 5 1.00 1.68 .0170 4 1.00 2.05 .0171 4 1.00 1.96 .0172 6 1.00 1.80 .0173 5 1.00 1.82 .0174 5 1.00 1.69 .0175 6 1.00 1.89 .0176 5 1.00 2.02 .0177 7 1.00 1.19 .0178 4 1.00 1.92 .0179 8 1.00 1.25 .0180 6 1.00 1.97 .0181 5 1.00 1.80 .0182 4 1.00 1.96 .0183 13 1.00 1.15 .0184 16 1.00 1.14 .0185 12 1.00 1.29 .0186 4 1.00 1.94 .0187 4 1.00 1.46 .0188 5 1.00 1.86 .0189 4 1.00 1.99 .0190 8 1.00 1.30 .0191 4 1.00 1.76 .0192 5 1.00 1.57 .0193 7 1.00 1.44 .0194 6 1.00 1.41 .0195 5 1.00 1.46 .0196 6 1.00 1.50 .0197 6 1.00 1.36 .0198 6 1.00 1.44 .0199 17 1.00 0.88 .0200 12 1.00 0.87 .0201 10 1.00 0.95 .0202 6 1.00 1.33 .0203 8 1.00 0.91 .0204 8 1.00 0.94 .0205 5 1.00 1.18 .0206 8 1.00 0.95 .0207 5 1.00 1.10 .0208 4 1.00 1.46 .0209 8 1.00 1.34 .0210 7 1.00 1.30 .0211 4 1.00 1.90 .0212 10 1.00 1.01 .0213 6 1.00 1.70 .0214 4 1.00 2.02 .0215 7 1.00 1.34 .0216 7 1.00 1.34 .0217 4 1.00 1.68 .0218 6 1.00 1.36 .0219 8 1.00 1.61 .0220 12 1.00 0.87 .0221 6 1.00 1.36 .0222 6 1.00 1.62 .0223 6 1.00 1.18 .0224 10 1.00 0.91 .0225 7 1.00 1.08 .0226 8 1.00 0.91 .0227 6 1.00 0.80 .0228 6 1.00 1.09 .0229 10 1.00 0.79 .0230 5 1.00 1.50 .0231 5 1.00 1.61 .0232 7 1.00 1.46 .0233 7 1.00 1.18 .0234 4 1.00 1.76 .0235 6 1.00 1.62 .0236 5 1.00 1.78 .0237 11 1.00 1.20 .0238 5 1.00 1.62 .0239 11 1.00 0.91 .0240 4 1.00 1.55 .0241 1 1.00 0.32 .0242 8 1.00 0.98 .0243 10 1.00 0.97 .0244 12 1.00 0.99 .0245 5 1.00 1.62 .0246 5 1.00 0.95 .0247 5 1.00 1.47 .0248 5 1.00 1.11 .0249 6 1.00 0.94 .0250 11 1.00 0.79 .0251 10 1.00 1.02 .0252 6 1.00 0.98 .0253 8 1.00 1.06 .0254 6 1.00 0.98 .0255 6 1.00 1.41 .0256 5 1.00 1.68 .0257 6 1.00 1.48 .0258 6 1.00 1.71 .0259 7 1.00 1.42 .0260 4 1.00 1.36 .0261 4 1.00 1.66 .0262 8 1.00 0.92 .0263 1 1.00 0.33 .0264 6 1.00 1.12 .0265 4 1.00 1.64 .0266 4 1.00 1.85 .0267 6 1.00 1.67 .0268 8 1.00 1.33 .0269 7 1.00 1.78 .0270 6 1.00 1.66 .0271 6 1.00 1.78 .0272 5 1.00 1.98 .0273 4 1.00 2.11 .0274 5 1.00 1.51 .0275 5 1.00 2.10 .0276 9 1.00 1.38 .0277 5 1.00 1.31 .0278 9 1.00 1.14 .0279 5 1.00 1.56 .0280 7 1.00 1.63 .0281 6 1.00 1.66 .0282 7 1.00 1.80 .0283 6 1.00 1.92 .0284 4 1.00 2.03 .0285 6 1.00 1.46 .0286 3 1.00 2.38 .0287 5 1.00 2.06 .0288 8 1.00 1.48 .0289 10 1.00 1.41 .0290 8 1.00 1.19 .0291 8 1.00 1.28 .0292 1 1.00 0.53 .0293 4 1.00 1.83 .0294 4 1.00 1.97 .0295 5 1.00 2.18 .0296 3 1.00 2.42 .0297 6 1.00 1.65 .0298 5 1.00 1.96 .0299 5 1.00 1.74 .0300 6 1.00 1.36 .0301 5 1.00 1.52 .0302 4 1.00 1.51 .0303 5 1.00 1.63 .0304 6 1.00 1.38 .0305 6 1.00 1.74 .0306 6 1.00 1.44 .0307 6 1.00 1.52 .0308 4 1.00 2.19 .0309 6 1.00 1.47 .0310 4 1.00 1.91 .0311 3 1.00 0.54 .0312 4 1.00 1.41 .0313 5 1.00 1.46 .0314 4 1.00 2.59 .0315 4 1.00 2.01 .0316 4 1.00 2.15 .0317 5 1.00 2.06 .0318 7 1.00 1.59 .0319 7 1.00 1.98 EXTRACT_IMAGE: b2: masked 3662 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 0 FITDISPERSION: b2: Median wavelength widths = 0.82 0.81 0.85 0.86 pix (LL LR UL UR) SPCALIB: b2: Extracting arc # 2 of 2 SPCALIB: b2: Reading arc sdR-b2-00034592.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.76307 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1233.68 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1214. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.28497 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1204.50 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1188. DN is 0 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Fraction of bad pixels in arc = 3.00407e-05 SPCALIB: b2: Arc sdR-b2-00034592.fit paired with flat sdR-b2-00034591.fit MATCH_TRACE: b2: Iteration: 0 Pixels Rejected: 1871 Finished? 0 MATCH_TRACE: b2: Iteration: 1 Pixels Rejected: 82 Finished? 0 MATCH_TRACE: b2: Iteration: 2 Pixels Rejected: 11 Finished? 0 MATCH_TRACE: b2: Iteration: 3 Pixels Rejected: 0 Finished? 1 SPCALIB: b2: Shifting traces with match_trace -0.0113525 SPCALIB: b2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 0.92 1.15 .0001 1 0.92 1.02 .0002 1 0.92 1.30 .0003 1 0.92 1.42 .0004 1 0.91 1.96 .0005 1 0.91 2.33 .0006 2 0.91 2.02 .0007 1 0.91 2.03 .0008 1 0.91 1.88 .0009 1 0.91 1.70 .0010 1 0.91 1.51 .0011 1 0.91 1.27 .0012 1 0.91 1.18 .0013 1 0.91 1.04 .0014 1 0.91 1.03 .0015 1 0.91 1.00 .0016 1 0.91 1.06 .0017 1 0.91 1.06 .0018 1 0.91 1.65 .0019 1 0.91 2.30 .0020 1 0.91 5.75 .0021 1 0.91 4.89 .0022 1 0.91 6.72 .0023 1 0.91 5.85 .0024 1 0.91 4.97 .0025 1 0.91 4.82 .0026 1 0.91 4.78 .0027 3 0.91 2.97 .0028 1 0.91 2.29 .0029 1 0.91 1.52 .0030 1 0.91 1.10 .0031 1 0.91 1.00 .0032 1 0.91 1.08 .0033 1 0.91 1.06 .0034 1 0.91 1.05 .0035 1 0.91 1.03 .0036 1 0.91 1.05 .0037 1 0.91 0.97 .0038 1 0.91 0.98 .0039 1 0.91 0.99 .0040 1 0.91 1.00 .0041 1 0.91 1.01 .0042 1 0.91 0.94 .0043 1 0.91 0.92 .0044 1 0.91 1.02 .0045 3 0.91 1.04 .0046 1 0.91 1.03 .0047 1 0.91 0.98 .0048 1 0.91 0.98 .0049 1 0.91 0.98 .0050 1 0.91 0.95 .0051 1 0.91 1.03 .0052 1 0.91 1.04 .0053 1 0.91 1.05 .0054 1 0.91 1.10 .0055 1 0.91 1.01 .0056 1 0.91 1.34 .0057 1 0.91 2.35 .0058 2 0.91 2.19 .0059 1 0.91 2.93 .0060 1 0.91 2.62 .0061 1 0.91 2.33 .0062 1 0.91 2.29 .0063 1 0.91 2.13 .0064 1 0.91 1.82 .0065 1 0.91 1.46 .0066 1 0.91 1.25 .0067 1 0.91 1.02 .0068 1 0.91 0.97 .0069 1 0.91 0.99 .0070 3 0.91 1.02 .0071 1 0.91 0.96 .0072 1 0.91 1.00 .0073 1 0.91 1.15 .0074 1 0.91 1.33 .0075 1 0.91 1.51 .0076 1 0.91 1.62 .0077 3 0.91 1.77 .0078 1 0.91 1.54 .0079 1 0.91 1.39 .0080 2 0.91 1.50 .0081 3 0.91 1.35 .0082 2 0.91 1.16 .0083 1 0.91 1.13 .0084 1 0.91 0.97 .0085 1 0.91 0.98 .0086 1 0.91 0.95 .0087 1 0.91 1.00 .0088 1 0.91 0.97 .0089 1 0.91 1.04 .0090 1 0.91 0.96 .0091 2 0.91 0.98 .0092 3 0.91 0.95 .0093 1 0.91 0.94 .0094 1 0.91 0.89 .0095 1 0.91 0.91 .0096 1 0.91 0.97 .0097 1 0.91 0.99 .0098 1 0.91 0.95 .0099 1 0.91 0.99 .0100 1 0.91 1.00 .0101 1 0.91 0.92 .0102 1 0.91 0.94 .0103 1 0.91 1.01 .0104 1 0.91 0.98 .0105 1 0.91 0.95 .0106 1 0.91 1.00 .0107 1 0.91 0.97 .0108 1 0.91 1.03 .0109 1 0.91 1.03 .0110 1 0.91 1.35 .0111 1 0.91 1.24 .0112 1 0.91 1.29 .0113 1 0.91 1.18 .0114 1 0.91 1.26 .0115 1 0.91 1.23 .0116 1 0.91 1.11 .0117 1 0.91 1.03 .0118 2 0.91 1.03 .0119 1 0.91 1.06 .0120 1 0.91 0.99 .0121 1 0.91 0.94 .0122 1 0.91 1.01 .0123 1 0.91 0.99 .0124 1 0.91 0.98 .0125 1 0.91 1.01 .0126 1 0.91 0.99 .0127 1 0.91 0.96 .0128 1 0.91 0.97 .0129 1 0.91 0.99 .0130 1 0.91 1.04 .0131 1 0.91 1.00 .0132 1 0.91 0.96 .0133 1 0.91 1.05 .0134 1 0.91 0.95 .0135 3 0.91 1.09 .0136 3 0.91 1.17 .0137 1 0.91 1.02 .0138 1 0.91 0.96 .0139 1 0.91 0.98 .0140 1 0.91 0.93 .0141 1 0.91 1.00 .0142 1 0.91 0.99 .0143 1 0.91 1.02 .0144 1 0.91 0.99 .0145 1 0.91 0.98 .0146 1 0.91 0.99 .0147 1 0.91 0.96 .0148 1 0.91 1.02 .0149 1 0.91 0.96 .0150 1 0.91 1.06 .0151 1 0.91 1.01 .0152 1 0.91 1.08 .0153 1 0.91 1.19 .0154 1 0.91 1.28 .0155 1 0.91 1.38 .0156 1 0.91 1.45 .0157 1 0.91 1.29 .0158 1 0.91 1.19 .0159 1 0.91 1.14 .0160 1 0.91 1.17 .0161 1 0.91 1.14 .0162 1 0.91 1.06 .0163 1 0.91 1.05 .0164 2 0.91 1.01 .0165 2 0.91 0.95 .0166 1 0.91 1.02 .0167 1 0.91 1.03 .0168 1 0.91 1.03 .0169 1 0.91 0.97 .0170 1 0.91 1.05 .0171 1 0.91 1.00 .0172 1 0.91 0.94 .0173 1 0.91 1.00 .0174 1 0.91 1.26 .0175 1 0.91 1.08 .0176 1 0.91 1.29 .0177 1 0.91 1.53 .0178 1 0.91 3.65 .0179 3 0.91 2.45 .0180 2 0.91 3.71 .0181 1 0.91 3.04 .0182 1 0.91 3.27 .0183 1 0.91 2.59 .0184 1 0.91 2.65 .0185 1 0.91 2.65 .0186 1 0.91 1.84 .0187 1 0.91 1.46 .0188 1 0.91 1.31 .0189 1 0.91 1.08 .0190 1 0.91 1.04 .0191 1 0.91 1.03 .0192 1 0.91 1.05 .0193 1 0.91 1.08 .0194 1 0.91 1.05 .0195 1 0.91 1.00 .0196 1 0.91 0.97 .0197 1 0.91 1.02 .0198 1 0.91 1.04 .0199 1 0.91 1.11 .0200 1 0.91 0.98 .0201 1 0.91 1.02 .0202 1 0.91 1.05 .0203 1 0.91 1.00 .0204 1 0.91 0.99 .0205 1 0.91 0.97 .0206 1 0.91 1.02 .0207 1 0.91 1.03 .0208 1 0.91 1.01 .0209 1 0.91 1.03 .0210 1 0.91 1.01 .0211 1 0.91 0.98 .0212 1 0.91 1.00 .0213 1 0.91 1.04 .0214 1 0.91 1.03 .0215 1 0.91 1.18 .0216 1 0.91 1.05 .0217 1 0.91 1.06 .0218 2 0.91 0.99 .0219 2 0.91 1.04 .0220 2 0.91 1.09 .0221 1 0.91 1.05 .0222 1 0.91 0.93 .0223 1 0.91 1.04 .0224 1 0.91 1.07 .0225 1 0.91 1.11 .0226 1 0.91 1.04 .0227 1 0.91 1.40 .0228 3 0.91 2.10 .0229 2 0.91 2.09 .0230 1 0.91 2.89 .0231 3 0.91 1.98 .0232 1 0.91 2.32 .0233 1 0.91 2.05 .0234 1 0.91 1.59 .0235 1 0.91 1.63 .0236 1 0.91 1.65 .0237 1 0.91 1.44 .0238 1 0.91 1.17 .0239 1 0.91 1.00 .0240 1 0.91 1.04 .0241 1 0.91 1.11 .0242 1 0.91 1.09 .0243 1 0.91 1.03 .0244 1 0.91 0.98 .0245 1 0.91 0.99 .0246 1 0.91 1.08 .0247 1 0.91 1.01 .0248 1 0.91 1.01 .0249 1 0.91 1.06 .0250 1 0.91 1.35 .0251 1 0.91 1.40 .0252 2 0.91 3.23 .0253 1 0.91 2.26 .0254 1 0.91 3.76 .0255 1 0.91 2.96 .0256 1 0.91 2.46 .0257 1 0.91 2.33 .0258 1 0.91 2.10 .0259 1 0.91 2.15 .0260 1 0.91 1.95 .0261 1 0.91 1.52 .0262 1 0.91 1.22 .0263 1 0.91 1.10 .0264 1 0.91 1.14 .0265 1 0.91 1.05 .0266 1 0.91 0.97 .0267 1 0.91 1.05 .0268 1 0.91 1.01 .0269 1 0.91 1.06 .0270 1 0.91 1.06 .0271 1 0.91 1.08 .0272 1 0.91 0.98 .0273 1 0.91 1.08 .0274 1 0.91 0.99 .0275 1 0.91 0.95 .0276 1 0.91 1.01 .0277 1 0.91 1.05 .0278 1 0.91 1.02 .0279 1 0.91 1.04 .0280 3 0.91 1.03 .0281 1 0.91 1.01 .0282 1 0.91 1.07 .0283 1 0.91 1.02 .0284 1 0.91 1.08 .0285 1 0.91 1.08 .0286 1 0.91 1.04 .0287 1 0.91 1.04 .0288 1 0.91 0.96 .0289 1 0.91 1.02 .0290 1 0.91 1.00 .0291 1 0.91 1.00 .0292 1 0.91 1.06 .0293 1 0.91 1.04 .0294 1 0.91 1.09 .0295 1 0.91 1.06 .0296 1 0.91 1.07 .0297 1 0.91 1.06 .0298 1 0.91 1.13 .0299 1 0.91 1.12 .0300 1 0.91 2.55 .0301 1 0.91 3.01 .0302 1 0.91 5.61 .0303 1 0.91 4.63 .0304 1 0.91 5.59 .0305 1 0.91 4.33 .0306 1 0.91 4.13 .0307 1 0.91 4.14 .0308 1 0.91 3.05 .0309 1 0.91 3.24 .0310 1 0.91 3.15 .0311 1 0.91 2.10 .0312 1 0.91 1.63 .0313 1 0.91 1.19 .0314 1 0.91 1.16 .0315 2 0.91 1.20 .0316 1 0.91 1.15 .0317 1 0.91 2.70 .0318 3 0.91 3.72 .0319 1 0.91 6.07 .0320 1 0.91 5.46 .0321 1 0.91 6.03 .0322 1 0.91 4.45 .0323 1 0.91 4.72 .0324 1 0.91 4.60 .0325 1 0.91 3.21 .0326 1 0.91 3.47 .0327 1 0.91 3.29 .0328 1 0.91 2.11 .0329 1 0.91 1.45 .0330 1 0.91 1.18 .0331 1 0.91 1.11 .0332 1 0.91 1.13 .0333 1 0.91 1.07 .0334 1 0.91 1.05 .0335 1 0.91 1.01 .0336 1 0.91 1.10 .0337 1 0.91 1.01 .0338 1 0.91 1.06 .0339 1 0.91 1.13 .0340 1 0.91 1.04 .0341 1 0.91 0.99 .0342 2 0.90 1.11 .0343 3 0.90 1.06 .0344 2 0.90 1.14 .0345 3 0.90 1.09 .0346 2 0.90 1.12 .0347 2 0.90 1.03 .0348 1 0.90 1.02 .0349 1 0.90 1.05 .0350 1 0.90 1.13 .0351 1 0.90 1.00 .0352 1 0.90 1.04 .0353 1 0.90 1.07 .0354 1 0.90 1.05 .0355 1 0.90 1.04 .0356 1 0.90 1.03 .0357 1 0.90 0.98 .0358 1 0.90 1.00 .0359 1 0.90 1.01 .0360 1 0.90 1.02 .0361 1 0.90 1.07 .0362 1 0.90 1.09 .0363 2 0.90 1.06 .0364 2 0.90 0.98 .0365 1 0.90 1.02 .0366 1 0.90 1.02 .0367 1 0.90 1.00 .0368 2 0.90 1.07 .0369 1 0.90 1.05 .0370 1 0.90 0.98 .0371 1 0.90 1.01 .0372 1 0.90 1.05 .0373 2 0.90 1.00 .0374 2 0.90 1.05 .0375 1 0.90 1.01 .0376 1 0.90 1.07 .0377 1 0.90 1.02 .0378 1 0.90 0.98 .0379 1 0.90 0.99 .0380 1 0.90 1.01 .0381 1 0.90 1.01 .0382 1 0.90 0.98 .0383 1 0.90 1.05 .0384 1 0.90 1.00 .0385 1 0.90 1.01 .0386 1 0.90 0.95 .0387 1 0.90 1.07 .0388 1 0.90 0.98 .0389 1 0.90 0.96 .0390 1 0.90 1.05 .0391 1 0.90 0.97 .0392 1 0.90 1.05 .0393 1 0.90 1.01 .0394 1 0.90 1.07 .0395 1 0.90 1.06 .0396 1 0.90 0.97 .0397 1 0.90 1.00 .0398 1 0.90 1.05 .0399 1 0.90 1.02 .0400 1 0.90 1.01 .0401 1 0.90 1.01 .0402 1 0.90 1.00 .0403 1 0.90 1.04 .0404 1 0.90 1.06 .0405 1 0.90 1.05 .0406 1 0.90 1.06 .0407 1 0.90 1.01 .0408 1 0.90 0.98 .0409 1 0.90 1.03 .0410 1 0.90 0.99 .0411 1 0.90 1.04 .0412 1 0.90 1.08 .0413 1 0.90 0.98 .0414 1 0.90 1.04 .0415 1 0.90 1.01 .0416 1 0.90 1.02 .0417 1 0.90 1.02 .0418 1 0.90 1.05 .0419 1 0.90 1.00 .0420 1 0.90 1.00 .0421 1 0.90 1.02 .0422 1 0.90 1.06 .0423 1 0.90 1.04 .0424 1 0.90 1.07 .0425 1 0.90 1.09 .0426 1 0.90 1.01 .0427 1 0.90 1.01 .0428 1 0.90 1.04 .0429 1 0.90 1.01 .0430 1 0.90 1.00 .0431 1 0.90 1.05 .0432 1 0.90 0.97 .0433 1 0.90 1.00 .0434 1 0.90 1.03 .0435 1 0.90 0.95 .0436 1 0.90 1.03 .0437 1 0.90 0.99 .0438 1 0.90 1.01 .0439 1 0.90 1.00 .0440 1 0.90 1.04 .0441 1 0.90 0.97 .0442 2 0.90 1.08 .0443 2 0.90 1.07 .0444 2 0.90 1.05 .0445 1 0.90 0.99 .0446 1 0.90 0.99 .0447 2 0.90 1.03 .0448 1 0.90 1.01 .0449 1 0.90 1.02 .0450 1 0.90 0.98 .0451 1 0.90 1.02 .0452 1 0.90 1.07 .0453 1 0.90 1.08 .0454 1 0.90 1.05 .0455 1 0.90 1.03 .0456 1 0.90 1.03 .0457 3 0.90 0.98 .0458 2 0.90 1.08 .0459 1 0.90 1.09 .0460 3 0.90 0.94 .0461 3 0.90 0.94 .0462 1 0.90 0.97 .0463 1 0.90 1.05 .0464 1 0.90 0.97 .0465 1 0.90 1.05 .0466 1 0.90 1.02 .0467 1 0.90 1.05 .0468 1 0.90 1.00 .0469 1 0.90 1.07 .0470 1 0.90 1.04 .0471 1 0.90 1.10 .0472 1 0.90 1.06 .0473 1 0.90 1.13 .0474 3 0.90 1.03 .0475 1 0.90 1.16 .0476 1 0.90 1.11 .0477 1 0.90 0.96 .0478 1 0.90 0.96 .0479 1 0.90 1.03 .0480 1 0.90 0.99 .0481 1 0.90 1.07 .0482 1 0.90 1.08 .0483 1 0.90 1.04 .0484 1 0.90 1.06 .0485 1 0.90 1.10 .0486 1 0.90 1.19 .0487 1 0.90 1.27 .0488 1 0.90 1.41 .0489 1 0.90 1.42 .0490 1 0.90 1.36 .0491 1 0.90 1.27 .0492 1 0.90 1.24 .0493 1 0.90 1.13 .0494 1 0.90 1.39 .0495 2 0.90 1.35 .0496 2 0.90 1.19 .0497 1 0.90 1.15 .0498 1 0.90 1.07 .0499 1 0.90 1.06 .0500 1 0.90 1.08 .0501 3 0.90 1.07 .0502 1 0.90 1.21 .0503 1 0.90 1.13 .0504 1 0.90 1.11 .0505 1 0.90 1.15 .0506 1 0.90 1.15 .0507 1 0.90 1.05 .0508 1 0.90 1.03 .0509 1 0.90 1.12 .0510 1 0.90 1.06 .0511 1 0.90 0.99 .0512 1 0.90 1.09 .0513 1 0.90 1.14 .0514 1 0.90 1.10 .0515 1 0.90 1.11 .0516 1 0.90 1.04 .0517 2 0.90 1.16 .0518 1 0.90 1.07 .0519 1 0.90 1.11 .0520 1 0.90 1.08 .0521 1 0.90 1.05 .0522 1 0.90 1.06 .0523 1 0.90 1.14 .0524 1 0.90 1.13 .0525 1 0.90 1.07 .0526 1 0.90 1.07 .0527 1 0.90 1.06 .0528 1 0.90 1.01 .0529 1 0.90 1.06 .0530 1 0.90 1.16 .0531 1 0.90 1.15 .0532 2 0.90 1.08 .0533 2 0.90 1.09 .0534 1 0.90 1.10 .0535 1 0.90 1.10 .0536 1 0.90 1.10 .0537 1 0.90 1.10 .0538 1 0.90 1.11 .0539 1 0.90 1.13 .0540 1 0.90 1.17 .0541 1 0.90 1.12 .0542 1 0.90 1.05 .0543 1 0.90 1.11 .0544 1 0.90 1.11 .0545 1 0.90 1.16 .0546 1 0.90 1.08 .0547 1 0.90 1.18 .0548 1 0.90 1.13 .0549 1 0.90 1.15 .0550 1 0.90 1.23 .0551 1 0.90 1.19 .0552 1 0.90 1.13 .0553 1 0.90 1.14 .0554 1 0.90 1.17 .0555 1 0.90 1.13 .0556 1 0.90 1.16 .0557 1 0.90 1.18 .0558 1 0.90 1.24 .0559 1 0.90 1.18 .0560 1 0.90 1.18 .0561 1 0.90 1.31 .0562 1 0.90 1.84 .0563 1 0.90 2.47 .0564 1 0.90 2.18 .0565 1 0.90 2.36 .0566 1 0.90 2.24 .0567 1 0.90 4.96 .0568 1 0.90 8.87 .0569 1 0.90 22.80 .0570 1 0.90 15.85 .0571 1 0.90 25.76 .0572 1 0.90 21.11 .0573 1 0.90 17.26 .0574 1 0.90 15.71 .0575 1 0.90 17.30 .0576 1 0.90 17.96 .0577 1 0.90 12.86 .0578 1 0.90 14.63 .0579 1 0.90 14.43 .0580 1 0.90 11.81 .0581 1 0.90 6.74 .0582 1 0.90 3.34 .0583 3 0.90 2.04 .0584 3 0.90 1.77 .0585 1 0.90 1.56 .0586 1 0.90 1.29 .0587 1 0.90 1.32 .0588 1 0.90 1.12 .0589 1 0.90 1.14 .0590 1 0.90 1.17 .0591 1 0.90 1.16 .0592 1 0.90 1.11 .0593 1 0.90 1.20 .0594 1 0.90 1.07 .0595 1 0.90 1.13 .0596 1 0.90 1.09 .0597 2 0.90 1.33 .0598 1 0.90 1.12 .0599 1 0.90 1.09 .0600 1 0.90 1.07 .0601 1 0.90 1.16 .0602 1 0.90 1.09 .0603 1 0.90 1.09 .0604 1 0.90 1.14 .0605 1 0.90 1.12 .0606 1 0.90 1.07 .0607 1 0.90 1.11 .0608 1 0.90 1.08 .0609 2 0.90 1.12 .0610 1 0.90 1.18 .0611 1 0.90 1.04 .0612 1 0.90 1.08 .0613 1 0.90 1.04 .0614 1 0.90 1.26 .0615 3 0.90 1.13 .0616 2 0.90 1.26 .0617 1 0.90 1.10 .0618 1 0.90 1.04 .0619 1 0.90 1.21 .0620 1 0.90 1.02 .0621 1 0.90 1.07 .0622 1 0.90 1.17 .0623 1 0.90 1.08 .0624 1 0.90 1.10 .0625 1 0.90 1.04 .0626 1 0.90 1.04 .0627 1 0.90 1.12 .0628 1 0.90 1.04 .0629 1 0.90 1.09 .0630 1 0.90 1.19 .0631 2 0.90 1.09 .0632 2 0.90 1.01 .0633 1 0.90 1.11 .0634 1 0.90 1.15 .0635 1 0.90 1.21 .0636 4 0.90 1.03 .0637 2 0.90 1.25 .0638 2 0.90 1.09 .0639 1 0.90 1.11 .0640 1 0.90 0.99 .0641 1 0.90 1.18 .0642 2 0.90 1.20 .0643 1 0.90 1.00 .0644 1 0.90 1.04 .0645 1 0.90 1.03 .0646 1 0.90 1.07 .0647 1 0.90 0.99 .0648 1 0.90 1.05 .0649 1 0.90 1.02 .0650 1 0.90 1.05 .0651 1 0.90 1.01 .0652 1 0.90 1.02 .0653 1 0.90 1.10 .0654 1 0.90 1.10 .0655 1 0.90 1.01 .0656 1 0.90 1.07 .0657 1 0.90 1.01 .0658 1 0.90 1.04 .0659 1 0.90 1.03 .0660 1 0.90 1.05 .0661 1 0.90 1.09 .0662 1 0.90 1.03 .0663 1 0.90 1.04 .0664 1 0.90 1.06 .0665 1 0.90 1.06 .0666 1 0.90 0.99 .0667 1 0.90 1.00 .0668 1 0.90 1.05 .0669 1 0.90 1.01 .0670 1 0.90 1.05 .0671 1 0.90 0.98 .0672 1 0.90 1.06 .0673 1 0.90 1.03 .0674 1 0.90 0.99 .0675 1 0.90 1.06 .0676 1 0.90 1.01 .0677 1 0.90 1.00 .0678 1 0.90 1.06 .0679 1 0.90 0.97 .0680 1 0.90 1.03 .0681 1 0.90 1.01 .0682 1 0.90 1.04 .0683 1 0.90 1.00 .0684 1 0.90 1.03 .0685 3 0.90 0.97 .0686 1 0.90 1.08 .0687 2 0.90 0.96 .0688 4 0.90 1.05 .0689 1 0.90 1.06 .0690 1 0.90 1.02 .0691 1 0.90 1.03 .0692 1 0.90 1.02 .0693 1 0.90 1.01 .0694 1 0.90 1.10 .0695 1 0.90 0.97 .0696 1 0.90 0.96 .0697 2 0.90 1.05 .0698 2 0.90 1.21 .0699 1 0.90 0.95 .0700 1 0.90 0.99 .0701 1 0.90 1.00 .0702 1 0.90 1.01 .0703 1 0.90 0.92 .0704 1 0.90 1.04 .0705 1 0.90 0.92 .0706 1 0.90 1.03 .0707 1 0.90 0.98 .0708 1 0.90 0.94 .0709 1 0.90 1.01 .0710 1 0.90 1.09 .0711 2 0.90 1.04 .0712 2 0.90 1.00 .0713 1 0.90 1.01 .0714 1 0.90 1.02 .0715 1 0.90 0.95 .0716 1 0.90 0.95 .0717 1 0.90 0.98 .0718 1 0.90 0.94 .0719 1 0.90 1.05 .0720 1 0.90 0.94 .0721 1 0.90 1.05 .0722 1 0.90 1.05 .0723 1 0.90 0.95 .0724 1 0.90 0.98 .0725 1 0.90 1.02 .0726 1 0.90 0.95 .0727 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1 0.89 0.90 .1283 1 0.89 0.91 .1284 2 0.89 0.91 .1285 1 0.89 0.96 .1286 1 0.89 0.91 .1287 1 0.89 0.95 .1288 1 0.89 1.03 .1289 1 0.89 1.00 .1290 3 0.89 1.21 .1291 3 0.89 0.98 .1292 2 0.89 0.99 .1293 2 0.89 0.99 .1294 1 0.89 0.92 .1295 1 0.89 0.95 .1296 1 0.89 0.93 .1297 1 0.89 0.86 .1298 1 0.89 0.93 .1299 1 0.89 0.90 .1300 1 0.89 0.89 .1301 1 0.89 0.95 .1302 1 0.89 0.93 .1303 1 0.89 0.99 .1304 1 0.89 0.87 .1305 1 0.89 0.96 .1306 1 0.89 0.91 .1307 1 0.89 0.92 .1308 1 0.89 0.89 .1309 1 0.89 0.96 .1310 1 0.89 0.87 .1311 1 0.89 0.95 .1312 1 0.89 0.91 .1313 1 0.89 0.94 .1314 1 0.89 0.89 .1315 1 0.89 0.91 .1316 1 0.89 0.96 .1317 1 0.89 0.93 .1318 1 0.89 0.97 .1319 1 0.89 0.96 .1320 1 0.89 1.01 .1321 1 0.89 0.96 .1322 1 0.89 0.93 .1323 1 0.89 0.98 .1324 3 0.89 0.94 .1325 1 0.89 0.96 .1326 2 0.89 1.00 .1327 1 0.89 0.94 .1328 1 0.89 0.94 .1329 1 0.89 0.95 .1330 1 0.89 0.90 .1331 1 0.89 0.97 .1332 1 0.89 0.94 .1333 1 0.89 0.94 .1334 1 0.89 0.93 .1335 2 0.89 0.98 .1336 1 0.89 0.92 .1337 1 0.89 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1.10 .1837 1 0.89 1.08 .1838 1 0.89 1.01 .1839 1 0.89 1.08 .1840 1 0.89 1.02 .1841 1 0.89 1.04 .1842 2 0.89 1.06 .1843 2 0.89 1.07 .1844 1 0.89 1.06 .1845 1 0.89 1.01 .1846 1 0.89 1.09 .1847 2 0.89 1.04 .1848 1 0.89 0.99 .1849 1 0.89 0.98 .1850 1 0.89 1.02 .1851 1 0.89 1.00 .1852 2 0.89 1.10 .1853 1 0.89 1.10 .1854 1 0.89 0.97 .1855 1 0.89 0.96 .1856 1 0.89 0.97 .1857 1 0.89 1.02 .1858 1 0.89 0.96 .1859 1 0.89 1.05 .1860 2 0.89 1.05 .1861 1 0.89 0.94 .1862 1 0.89 0.95 .1863 1 0.89 0.97 .1864 3 0.89 0.95 .1865 1 0.89 1.11 .1866 1 0.89 1.03 .1867 1 0.89 0.95 .1868 1 0.89 0.99 .1869 1 0.89 0.97 .1870 1 0.89 1.07 .1871 1 0.89 0.99 .1872 1 0.89 1.03 .1873 1 0.89 1.03 .1874 2 0.89 1.01 .1875 2 0.89 1.12 .1876 2 0.89 1.09 .1877 1 0.89 0.98 .1878 1 0.89 1.02 .1879 1 0.89 1.02 .1880 1 0.89 0.92 .1881 1 0.89 0.99 .1882 1 0.89 1.01 .1883 1 0.89 1.04 .1884 1 0.90 1.02 .1885 1 0.90 0.94 .1886 1 0.90 1.06 .1887 2 0.90 1.00 .1888 1 0.90 0.96 .1889 1 0.90 0.94 .1890 1 0.90 0.96 .1891 1 0.90 0.97 .1892 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0.94 .1948 1 0.90 0.98 .1949 1 0.90 0.94 .1950 1 0.90 0.87 .1951 1 0.90 0.95 .1952 1 0.90 0.97 .1953 1 0.90 0.96 .1954 1 0.90 0.87 .1955 1 0.90 0.96 .1956 1 0.90 0.99 .1957 2 0.90 1.02 .1958 2 0.90 0.96 .1959 1 0.90 0.96 .1960 2 0.90 0.97 .1961 1 0.90 0.98 .1962 1 0.90 0.97 .1963 1 0.90 0.95 .1964 1 0.90 0.99 .1965 1 0.90 0.91 .1966 2 0.90 0.94 .1967 1 0.90 0.94 .1968 1 0.90 0.91 .1969 1 0.90 0.96 .1970 1 0.90 0.99 .1971 1 0.90 0.94 .1972 1 0.90 0.89 .1973 1 0.90 0.92 .1974 1 0.90 0.95 .1975 1 0.90 0.95 .1976 1 0.90 0.96 .1977 1 0.90 0.96 .1978 2 0.90 0.95 .1979 1 0.90 0.88 .1980 2 0.90 1.09 .1981 1 0.90 0.94 .1982 1 0.90 0.92 .1983 1 0.90 0.91 .1984 1 0.90 0.95 .1985 1 0.90 0.96 .1986 1 0.90 0.91 .1987 1 0.90 0.88 .1988 1 0.90 0.96 .1989 3 0.90 0.98 .1990 2 0.90 1.10 .1991 1 0.90 0.92 .1992 2 0.90 1.01 .1993 1 0.90 1.27 .1994 1 0.90 0.87 .1995 1 0.90 0.94 .1996 1 0.90 0.93 .1997 1 0.90 0.87 .1998 1 0.90 0.96 .1999 1 0.90 0.94 .2000 1 0.90 0.90 .2001 1 0.90 0.90 .2002 1 0.90 0.96 .2003 1 0.90 0.87 .2004 1 0.90 0.94 .2005 1 0.90 0.92 .2006 1 0.90 0.90 .2007 1 0.90 0.97 .2008 1 0.90 0.93 .2009 1 0.90 0.98 .2010 2 0.90 0.98 .2011 2 0.90 0.91 .2012 2 0.90 0.89 .2013 2 0.90 0.89 .2014 1 0.90 0.98 .2015 1 0.90 0.92 .2016 1 0.90 0.90 .2017 1 0.90 0.97 .2018 1 0.90 0.88 .2019 1 0.90 0.93 .2020 1 0.90 0.94 .2021 1 0.90 0.87 .2022 1 0.90 0.91 .2023 1 0.90 0.92 .2024 1 0.90 0.90 .2025 1 0.91 0.96 .2026 1 0.91 0.92 .2027 1 0.91 0.87 .2028 2 0.91 0.92 .2029 1 0.91 0.86 .2030 2 0.91 1.11 .2031 1 0.91 1.20 .2032 3 0.91 1.01 .2033 3 0.91 0.93 .2034 1 0.91 0.98 .2035 1 0.91 0.85 .2036 1 0.91 0.90 .2037 1 0.91 0.96 .2038 3 0.91 0.90 .2039 3 0.91 0.97 .2040 1 0.91 0.96 .2041 1 0.91 0.92 .2042 1 0.91 0.93 .2043 1 0.91 0.91 .2044 1 0.91 0.88 .2045 3 0.91 1.04 .2046 1 0.91 1.12 .2047 1 0.91 0.94 EXTRACT_IMAGE: b2: masked 348 pixels SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b2: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b2: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Searching about coefficients = 3.68951 -0.10542 -0.00419 0.00016 ARCFIT_ITER: b2: Searching lags from -146 to 145 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Initial wavelength fit = 3.68941 -0.10543 -0.00431 0.00020 ARCFIT_GUESS: b2: Initial correlation = 0.779368 FITARCIMAGE_GLOBAL: b2: Best correlation = 0.779368 FITARCIMAGE_GLOBAL: b2: ASET = 3.68941 -0.10543 -0.00431 0.00020 SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Iterating flux-weighted centers . 0 320 0.054 . 1 320 0.053 . 2 320 0.063 . 3 320 0.056 . 4 320 0.061 . 5 320 0.052 . 6 320 0.056 . 7 320 0.061 . 8 320 0.054 . 9 320 0.065 . 10 320 0.057 . 11 320 0.057 . 12 320 0.057 . 13 320 0.057 . 14 320 0.060 . 15 320 0.059 . 16 320 0.055 . 17 320 0.060 . 18 320 0.055 . 19 320 0.055 . 20 320 0.059 . 21 320 0.055 . 22 320 0.047 . 23 320 0.056 . 24 320 0.052 . 25 320 0.057 . 26 320 0.062 . 27 320 0.056 . 28 320 0.060 . 29 320 0.056 . 30 320 0.056 . 31 320 0.058 . 32 320 0.061 . 33 320 0.054 . 34 320 0.064 . 35 320 0.058 . 36 320 0.056 . 37 320 0.051 . 38 320 0.068 . 39 320 0.059 . 40 320 0.058 . 41 320 0.061 . 42 320 0.063 . 43 320 0.060 . 44 320 0.057 . 45 320 0.055 . 46 320 0.054 . 47 320 0.062 . 48 320 0.055 . 49 320 0.057 . 50 320 0.056 . 51 320 0.065 . 52 320 0.065 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 53 0 28.017230 0.25058307 . 53 320 0.054 . 54 320 0.063 . 55 320 0.062 . 56 320 0.061 . 57 320 0.064 . 58 320 0.060 . 59 320 0.068 . 60 320 0.061 . 61 320 0.055 . 62 320 0.067 . 63 320 0.052 . 64 320 0.057 . 65 320 0.053 . 66 320 0.065 . 67 320 0.069 . 68 320 0.058 . 69 320 0.056 . 70 320 0.060 . 71 320 0.059 . 72 320 0.056 . 73 320 0.061 . 74 320 0.055 . 75 320 0.057 . 76 320 0.058 . 77 320 0.059 . 78 320 0.059 . 79 320 0.059 . 80 320 0.054 . 81 320 0.056 . 82 320 0.060 . 83 320 0.060 . 84 320 0.056 . 85 320 0.061 . 86 320 0.057 . 87 320 0.059 . 88 320 0.055 . 89 320 0.058 . 90 320 0.055 . 91 320 0.054 . 92 320 0.055 . 93 320 0.054 . 94 320 0.061 . 95 320 0.053 . 96 320 0.057 . 97 320 0.055 . 98 320 0.055 . 99 320 0.056 . 100 320 0.056 . 101 320 0.069 . 102 320 0.058 . 103 320 0.061 . 104 320 0.056 . 105 320 0.056 . 106 320 0.062 . 107 320 0.063 . 108 320 0.063 . 109 320 0.061 . 110 320 0.055 . 111 320 0.057 . 112 320 0.056 . 113 320 0.059 . 114 320 0.049 . 115 320 0.059 . 116 320 0.056 . 117 320 0.053 . 118 320 0.052 . 119 320 0.058 . 120 320 0.060 . 121 320 0.055 . 122 320 0.058 . 123 320 0.056 . 124 320 0.060 . 125 320 0.056 . 126 320 0.058 . 127 320 0.061 . 128 320 0.062 . 129 320 0.052 . 130 320 0.054 . 131 320 0.067 . 132 320 0.057 . 133 320 0.058 . 134 320 0.060 . 135 320 0.052 . 136 320 0.060 . 137 320 0.060 . 138 320 0.055 . 139 320 0.055 . 140 320 0.056 . 141 320 0.054 . 142 320 0.054 . 143 320 0.055 . 144 320 0.055 . 145 320 0.055 . 146 320 0.055 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 147 0 14.693257 0.20061344 . 147 320 0.058 . 148 320 0.059 . 149 320 0.059 . 150 320 0.062 . 151 320 0.054 . 152 320 0.057 . 153 320 0.057 . 154 320 0.059 . 155 320 0.055 . 156 320 0.064 . 157 320 0.057 . 158 320 0.058 . 159 320 0.061 . 160 320 0.055 . 161 320 0.055 . 162 320 0.056 . 163 320 0.054 . 164 320 0.058 . 165 320 0.053 . 166 320 0.069 . 167 320 0.056 . 168 320 0.053 . 169 320 0.055 . 170 320 0.057 . 171 320 0.069 . 172 320 0.053 . 173 320 0.056 . 174 320 0.058 . 175 320 0.057 . 176 320 0.056 . 177 320 0.054 . 178 320 0.054 . 179 320 0.059 . 180 320 0.054 . 181 320 0.059 . 182 320 0.059 . 183 320 0.056 . 184 320 0.058 . 185 320 0.057 . 186 320 0.055 . 187 320 0.059 . 188 320 0.064 . 189 320 0.060 . 190 320 0.056 . 191 320 0.056 . 192 320 0.060 . 193 320 0.053 . 194 320 0.054 . 195 320 0.067 . 196 320 0.055 . 197 320 0.061 . 198 320 0.060 . 199 320 0.056 . 200 320 0.059 . 201 320 0.057 . 202 320 0.051 . 203 320 0.054 . 204 320 0.054 . 205 320 0.058 . 206 320 0.063 . 207 320 0.056 . 208 320 0.053 . 209 320 0.056 . 210 320 0.056 . 211 320 0.057 . 212 320 0.054 . 213 320 0.055 . 214 320 0.057 . 215 320 0.057 . 216 320 0.057 . 217 320 0.066 . 218 320 0.058 . 219 320 0.058 . 220 320 0.052 . 221 320 0.061 . 222 320 0.055 . 223 320 0.060 . 224 320 0.057 . 225 320 0.055 . 226 320 0.058 . 227 320 0.057 . 228 320 0.061 . 229 320 0.056 . 230 320 0.054 . 231 320 0.053 . 232 320 0.060 . 233 320 0.061 . 234 320 0.061 . 235 320 0.062 . 236 320 0.057 . 237 320 0.058 . 238 320 0.060 . 239 320 0.061 . 240 320 0.051 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 0 1.3555213 2.7424834 0.32732364 -0.0000000 9.0273159 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -26.384394 3.5208237 0.38526021 -0.0000000 7.6321826 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -0.90216877 2.8432233 1.8380729 -0.0000000 8.6470886 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -30.990435 3.8058690 0.58060139 -0.0000000 7.9571959 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -3.8300698 2.7842593 0.34294016 -0.0000000 8.8887524 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -4.7608153 2.8033421 0.58696854 -0.0000000 8.2309061 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 6 1.1157507 2.7244971 0.62336817 -0.0000000 8.0610647 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 7 3.1591889 2.4358437 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -32.745763 3.2827583 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -7.2656348 2.5547561 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -8.0024040 2.6058787 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -2.6268970 2.8476375 0.63559932 -0.0000000 8.8216873 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -7.3376127 3.4820128 0.86643595 -0.0000000 7.2975603 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 13 -8.6066638 2.7555105 0.78088581 -0.0000000 8.5232316 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -4.0580222 2.4976208 0.0000000 0.0000000 0.0000000 3 . 241 320 0.099 . 242 320 0.051 . 243 320 0.058 . 244 320 0.067 . 245 320 0.064 . 246 320 0.060 . 247 320 0.051 . 248 320 0.054 . 249 320 0.059 . 250 320 0.056 . 251 320 0.050 . 252 320 0.055 . 253 320 0.056 . 254 320 0.057 . 255 320 0.050 . 256 320 0.053 . 257 320 0.053 . 258 320 0.054 . 259 320 0.053 . 260 320 0.052 . 261 320 0.053 . 262 320 0.053 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 0 0.51250052 2.5444612 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -13.490732 3.0601372 0.30114390 -0.0000000 10.069917 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -13.669045 3.3783056 0.91512951 -0.0000000 6.8680330 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -32.038194 3.8377737 0.31112333 -0.0000000 8.2311395 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -3.0411364 2.4750614 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 5 -4.8721181 3.3354757 0.44761010 0.51671950 8.0469831 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 6 1.0855514 2.4442707 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -0.13470962 2.8079493 0.30767688 -0.0000000 9.0377855 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 263 8 -45.797608 0.26451759 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -8.8020095 2.9714371 0.38716347 -0.0000000 9.5017260 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -9.2995276 2.6277793 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 11 -3.3556538 2.4759573 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -9.8112244 3.3427217 0.30262734 0.32831847 8.6024422 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 13 1.3605188 2.5395785 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 14 -5.2161238 3.3846149 1.1088320 -0.0000000 6.9639675 1 . 263 320 0.096 . 264 320 0.054 . 265 320 0.052 . 266 320 0.066 . 267 320 0.065 . 268 320 0.055 . 269 320 0.051 . 270 320 0.053 . 271 320 0.054 . 272 320 0.054 . 273 320 0.056 . 274 320 0.054 . 275 320 0.058 . 276 320 0.054 . 277 320 0.056 . 278 320 0.054 . 279 320 0.058 . 280 320 0.056 . 281 320 0.057 . 282 320 0.053 . 283 320 0.070 . 284 320 0.052 . 285 320 0.061 . 286 320 0.054 . 287 320 0.058 . 288 320 0.056 . 289 320 0.066 . 290 320 0.055 . 291 320 0.054 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -7.6900169 3.3267560 0.62820996 0.67875773 8.6964469 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -5.5469978 2.6942679 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -8.3541069 2.4836034 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -14.019621 2.8012823 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -0.11195488 2.5142319 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -7.4148830 3.1986055 1.7889428 -0.0000000 6.4620597 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -6.5149432 3.3066189 0.86932107 -0.0000000 6.6969283 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -2.8931089 2.7742641 0.36197016 -0.0000000 8.5609030 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 8 -33.386091 3.3122497 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -11.801257 2.6295060 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -9.9908983 2.6513722 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 11 -8.7478414 2.4960509 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -10.072035 2.4928339 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 13 -11.531134 3.0529722 0.53221031 0.54611135 10.034540 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 14 -4.4245589 3.4111599 2.1740804 -0.0000000 6.9751752 1 . 292 320 0.088 . 293 320 0.056 . 294 320 0.053 . 295 320 0.054 . 296 320 0.055 . 297 320 0.054 . 298 320 0.053 . 299 320 0.055 . 300 320 0.056 . 301 320 0.053 . 302 320 0.052 . 303 320 0.060 . 304 320 0.053 . 305 320 0.062 . 306 320 0.052 . 307 320 0.052 . 308 320 0.058 . 309 320 0.057 . 310 320 0.054 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -2.8426183 2.5389693 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -1.3301183 3.0839023 0.54187988 -0.0000000 9.3079519 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -6.2017856 3.2457158 0.92505128 0.87936460 8.7235189 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -19.342535 3.7905568 0.56774561 -0.0000000 7.5701886 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 4 1.2748951 2.5026667 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 5 1.6874897 2.8242759 0.94512099 -0.0000000 8.1855853 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -3.6049764 3.3988119 0.42521915 0.48618317 8.3671725 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -3.1520519 2.8382687 0.36844055 -0.0000000 8.8270058 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -19.159831 2.8642959 1.3216445 -0.0000000 8.8750394 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -18.861460 2.5486547 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -12.615607 2.8795598 0.33017670 -0.0000000 9.0617170 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -4.2155999 2.5240205 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -4.6131289 2.5113961 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -8.8213949 2.7568967 0.62691922 -0.0000000 8.1696484 1 . 311 320 0.077 . 312 320 0.053 . 313 320 0.053 . 314 320 0.055 . 315 320 0.057 . 316 320 0.057 . 317 320 0.057 . 318 320 0.056 . 319 320 0.056 FITARCIMAGE_GLOBAL: b2: Line 0, at 3983.8390 Ang: ERR= 0.117357 ERR_RMS= 0.0242496 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 1, at 4046.5720 Ang: ERR= 0.00384643 ERR_RMS= 0.000188059 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 2, at 4077.8380 Ang: ERR= 0.0124497 ERR_RMS= 0.000805394 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 3, at 4358.3370 Ang: ERR= 0.00274957 ERR_RMS= 0.000117510 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 4, at 4678.1490 Ang: ERR= 0.0251035 ERR_RMS= 0.00216519 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Line 5, at 4799.9120 Ang: ERR= 0.0131420 ERR_RMS= 0.00147194 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Line 6, at 4916.0700 Ang: ERR= 0.0453117 ERR_RMS= 0.00537546 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 7, at 5085.8220 Ang: ERR= 0.00994338 ERR_RMS= 0.000945881 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 8, at 5460.7530 Ang: ERR= 0.00221556 ERR_RMS= 0.0170142 pix, 2 masked. FITARCIMAGE_GLOBAL: b2: Line 9, at 5769.5980 Ang: ERR= 0.00485717 ERR_RMS= 0.000230841 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 10, at 5790.6630 Ang: ERR= 0.00510415 ERR_RMS= 0.000247947 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 11, at 5852.4880 Ang: ERR= 0.00780737 ERR_RMS= 0.000420901 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 12, at 5881.8950 Ang: ERR= 0.00970534 ERR_RMS= 0.000714883 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 13, at 5944.8340 Ang: ERR= 0.00743243 ERR_RMS= 0.000409563 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 14, at 6029.9970 Ang: ERR= 0.0187077 ERR_RMS= 0.00130792 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b2: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 1 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 1 9 15 1 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 1 16 15 0 17 15 0 18 15 0 19 15 1 20 15 0 21 15 1 22 15 2 23 15 0 24 15 0 25 15 1 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 1 36 15 1 37 15 1 38 15 0 39 15 0 40 15 1 41 15 0 42 15 0 43 15 1 44 15 1 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 1 51 15 0 52 15 1 53 15 2 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 1 63 15 0 64 15 0 65 15 1 66 15 0 67 15 1 68 15 0 69 15 1 70 15 0 71 15 0 72 15 1 73 15 0 74 15 1 75 15 1 76 15 0 77 15 0 78 15 1 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 1 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 1 97 15 1 98 15 1 99 15 0 100 15 0 101 15 0 102 15 1 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 1 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 1 117 15 1 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 1 126 15 1 127 15 0 128 15 1 129 15 1 130 15 0 131 15 1 132 15 0 133 15 0 134 15 0 135 15 0 136 15 1 137 15 0 138 15 0 139 15 1 140 15 0 141 15 1 142 15 0 143 15 0 144 15 0 145 15 1 146 15 1 147 15 0 148 15 1 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 1 156 15 1 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 1 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 1 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 1 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 1 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 1 203 15 0 204 15 0 205 15 0 206 15 1 207 15 1 208 15 1 209 15 1 210 15 0 211 15 0 212 15 0 213 15 1 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 1 222 15 0 223 15 0 224 15 1 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 1 232 15 0 233 15 0 234 15 0 235 15 0 236 15 1 237 15 0 238 15 0 239 15 0 240 15 0 241 15 15 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 1 261 15 1 262 15 0 263 15 14 264 15 1 265 15 1 266 15 0 267 15 1 268 15 1 269 15 1 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 1 279 15 0 280 15 0 281 15 0 282 15 1 283 15 0 284 15 0 285 15 0 286 15 0 287 15 1 288 15 0 289 15 0 290 15 0 291 15 0 292 15 15 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 1 299 15 0 300 15 0 301 15 1 302 15 1 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 1 310 15 0 311 15 14 312 15 1 313 15 1 314 15 0 315 15 0 316 15 1 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 137 Pass 1 complete FITARCIMAGE_GLOBAL: b2: Number of arclines after bundle test = 15 FITARCLINES: b2: ncoeffs (x,y): 4 5 FITARCLINES: b2: errored out 4 fibers: 241 263 292 311 FITARCLINES: b2: fit rchi2: 0.079801326 FITARCLINES: b2: offset stddev: 320 2.1287825e-13 FITARCLINES: b2: scale stddev: 320 3.4916344e-13 FITARCLINES: b2: poly x,y,stddev: 0 0 6.9451175e-07 FITARCLINES: b2: poly x,y,stddev: 1 0 2.0373540e-06 FITARCLINES: b2: poly x,y,stddev: 2 0 1.6024455e-06 FITARCLINES: b2: poly x,y,stddev: 3 0 3.2237865e-06 FITARCLINES: b2: poly x,y,stddev: 0 1 4.5740293e-07 FITARCLINES: b2: poly x,y,stddev: 1 1 1.3416216e-06 FITARCLINES: b2: poly x,y,stddev: 2 1 1.0568788e-06 FITARCLINES: b2: poly x,y,stddev: 3 1 2.1244857e-06 FITARCLINES: b2: poly x,y,stddev: 0 2 4.7299151e-07 FITARCLINES: b2: poly x,y,stddev: 1 2 1.4052237e-06 FITARCLINES: b2: poly x,y,stddev: 2 2 1.1161990e-06 FITARCLINES: b2: poly x,y,stddev: 3 2 2.2456855e-06 FITARCLINES: b2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: b2: IVAR=0 centroids masked: 61 Final arcfit complete FITARCIMAGE_GLOBAL: b2: Time 38. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 7 1.00 1.42 .0001 5 1.00 1.85 .0002 4 1.00 2.72 .0003 8 1.00 1.69 .0004 5 1.00 2.47 .0005 5 1.00 2.32 .0006 5 1.00 2.18 .0007 4 1.00 2.23 .0008 7 1.00 2.36 .0009 6 1.00 2.08 .0010 6 1.00 1.49 .0011 6 1.00 1.28 .0012 4 1.00 1.74 .0013 5 1.00 1.72 .0014 8 1.00 1.69 .0015 14 1.00 0.93 .0016 10 1.00 1.63 .0017 4 1.00 2.86 .0018 5 1.00 1.80 .0019 6 1.00 1.20 .0020 6 1.00 2.00 .0021 6 1.00 1.89 .0022 5 1.00 2.05 .0023 6 1.00 1.75 .0024 4 1.00 2.03 .0025 6 1.00 1.57 .0026 5 1.00 1.58 .0027 6 1.00 1.60 .0028 6 1.00 1.51 .0029 6 1.00 2.18 .0030 4 1.00 1.88 .0031 7 1.00 1.41 .0032 5 1.00 2.35 .0033 5 1.00 2.45 .0034 5 1.00 2.31 .0035 10 1.00 1.29 .0036 7 1.00 1.51 .0037 10 1.00 1.55 .0038 11 1.00 1.55 .0039 4 1.00 2.03 .0040 6 1.00 1.46 .0041 4 1.00 1.95 .0042 12 1.00 1.42 .0043 10 1.00 1.57 .0044 7 1.00 1.59 .0045 10 1.00 1.56 .0046 5 1.00 1.64 .0047 4 1.00 2.48 .0048 7 1.00 1.86 .0049 5 1.00 2.17 .0050 4 1.00 2.33 .0051 5 1.00 1.81 .0052 5 1.00 1.74 .0053 6 1.00 1.84 .0054 9 1.00 1.27 .0055 5 1.00 1.40 .0056 4 1.00 2.22 .0057 14 1.00 1.01 .0058 5 1.00 2.15 .0059 7 1.00 1.38 .0060 6 1.00 0.96 .0061 7 1.00 1.15 .0062 6 1.00 1.62 .0063 12 1.00 1.18 .0064 4 1.00 2.19 .0065 6 1.00 1.21 .0066 4 1.00 2.44 .0067 10 1.00 1.33 .0068 10 1.00 0.98 .0069 6 1.00 1.43 .0070 4 1.00 1.88 .0071 7 1.00 1.46 .0072 6 1.00 1.30 .0073 6 1.00 1.28 .0074 7 1.00 1.03 .0075 10 1.00 0.77 .0076 7 1.00 1.42 .0077 4 1.00 1.58 .0078 8 1.00 1.12 .0079 4 1.00 1.97 .0080 9 1.00 0.95 .0081 6 1.00 1.37 .0082 11 1.00 1.28 .0083 8 1.00 1.44 .0084 5 1.00 1.35 .0085 7 1.00 1.25 .0086 8 1.00 1.42 .0087 5 1.00 1.56 .0088 6 1.00 1.62 .0089 11 1.00 1.10 .0090 8 1.00 1.25 .0091 5 1.00 1.44 .0092 6 1.00 1.38 .0093 5 1.00 1.57 .0094 7 1.00 1.33 .0095 3 1.00 1.69 .0096 6 1.00 1.13 .0097 4 1.00 1.65 .0098 6 1.00 1.09 .0099 10 1.00 0.95 .0100 8 1.00 0.88 .0101 11 1.00 0.93 .0102 5 1.00 1.72 .0103 12 1.00 0.97 .0104 6 1.00 1.50 .0105 5 1.00 1.40 .0106 5 1.00 1.52 .0107 7 1.00 1.20 .0108 8 1.00 1.25 .0109 6 1.00 1.48 .0110 6 1.00 1.42 .0111 8 1.00 1.29 .0112 6 1.00 1.63 .0113 5 1.00 1.74 .0114 4 1.00 2.00 .0115 4 1.00 2.19 .0116 4 1.00 1.64 .0117 7 1.00 1.16 .0118 8 1.00 0.93 .0119 8 1.00 1.11 .0120 8 1.00 1.21 .0121 4 1.00 1.37 .0122 6 1.00 1.25 .0123 4 1.00 1.42 .0124 6 1.00 1.78 .0125 6 1.00 1.42 .0126 5 1.00 1.21 .0127 4 1.00 1.73 .0128 6 1.00 1.25 .0129 7 1.00 1.32 .0130 6 1.00 1.40 .0131 5 1.00 1.57 .0132 11 1.00 1.15 .0133 4 1.00 2.01 .0134 11 1.00 1.09 .0135 6 1.00 1.34 .0136 13 1.00 0.83 .0137 6 1.00 1.02 .0138 5 1.00 1.44 .0139 6 1.00 1.02 .0140 7 1.00 0.93 .0141 7 1.00 1.35 .0142 6 1.00 1.31 .0143 6 1.00 1.14 .0144 6 1.00 1.22 .0145 8 1.00 1.23 .0146 5 1.00 0.99 .0147 5 1.00 1.10 .0148 6 1.00 1.15 .0149 7 1.00 1.28 .0150 6 1.00 1.12 .0151 8 1.00 1.42 .0152 6 1.00 1.27 .0153 5 1.00 1.44 .0154 12 1.00 1.18 .0155 6 1.00 1.27 .0156 8 1.00 1.32 .0157 4 1.00 1.91 .0158 5 1.00 1.53 .0159 7 1.00 1.51 .0160 7 1.00 1.17 .0161 6 1.00 1.21 .0162 7 1.00 1.25 .0163 6 1.00 1.33 .0164 6 1.00 1.35 .0165 6 1.00 1.26 .0166 7 1.00 1.40 .0167 10 1.00 1.38 .0168 6 1.00 0.93 .0169 8 1.00 1.02 .0170 5 1.00 1.28 .0171 7 1.00 1.19 .0172 6 1.00 1.33 .0173 6 1.00 1.55 .0174 8 1.00 1.47 .0175 8 1.00 1.53 .0176 5 1.00 1.39 .0177 4 1.00 1.65 .0178 6 1.00 1.07 .0179 7 1.00 1.06 .0180 7 1.00 1.20 .0181 5 1.00 1.42 .0182 7 1.00 1.30 .0183 6 1.00 1.52 .0184 7 1.00 1.25 .0185 9 1.00 1.13 .0186 7 1.00 1.06 .0187 5 1.00 1.70 .0188 4 1.00 1.97 .0189 4 1.00 2.34 .0190 15 1.00 1.06 .0191 7 1.00 2.07 .0192 10 1.00 1.49 .0193 9 1.00 1.44 .0194 5 1.00 2.23 .0195 9 1.00 1.41 .0196 4 1.00 2.27 .0197 6 1.00 1.55 .0198 4 1.00 2.15 .0199 14 1.00 0.95 .0200 6 1.00 1.15 .0201 5 1.00 1.68 .0202 4 1.00 2.25 .0203 4 1.00 1.62 .0204 4 1.00 1.58 .0205 9 1.00 1.22 .0206 8 1.00 0.91 .0207 9 1.00 1.05 .0208 6 1.00 0.98 .0209 7 1.00 1.42 .0210 7 1.00 1.57 .0211 5 1.00 1.31 .0212 5 1.00 1.42 .0213 6 1.00 1.12 .0214 6 1.00 1.03 .0215 5 1.00 1.37 .0216 10 1.00 0.93 .0217 10 1.00 0.85 .0218 12 1.00 1.03 .0219 6 1.00 1.40 .0220 6 1.00 1.24 .0221 9 1.00 1.07 .0222 6 1.00 1.46 .0223 5 1.00 1.46 .0224 5 1.00 1.70 .0225 6 1.00 1.63 .0226 4 1.00 1.74 .0227 5 1.00 1.54 .0228 6 1.00 1.25 .0229 9 1.00 0.94 .0230 7 1.00 1.12 .0231 9 1.00 0.90 .0232 11 1.00 0.91 .0233 6 1.00 1.02 .0234 9 1.00 0.94 .0235 11 1.00 1.02 .0236 6 1.00 1.30 .0237 11 1.00 1.02 .0238 7 1.00 0.95 .0239 4 1.00 1.80 .0240 11 1.00 0.97 .0241 1 1.00 0.27 .0242 5 1.00 1.70 .0243 4 1.00 1.72 .0244 4 1.00 1.57 .0245 5 1.00 1.60 .0246 11 1.00 1.34 .0247 4 1.00 1.86 .0248 6 1.00 1.46 .0249 5 1.00 1.63 .0250 5 1.00 1.44 .0251 5 1.00 1.62 .0252 11 1.00 0.83 .0253 10 1.00 0.86 .0254 6 1.00 1.02 .0255 5 1.00 0.94 .0256 6 1.00 1.29 .0257 5 1.00 1.68 .0258 9 1.00 1.59 .0259 12 1.00 1.15 .0260 5 1.00 1.28 .0261 8 1.00 1.39 .0262 6 1.00 1.43 .0263 1 1.00 0.32 .0264 10 1.00 1.01 .0265 6 1.00 1.26 .0266 6 1.00 1.26 .0267 11 1.00 0.90 .0268 4 1.00 1.50 .0269 5 1.00 1.49 .0270 5 1.00 1.89 .0271 5 1.00 2.26 .0272 6 1.00 1.83 .0273 6 1.00 1.88 .0274 5 1.00 1.79 .0275 4 1.00 2.12 .0276 7 1.00 1.81 .0277 4 1.00 1.98 .0278 4 1.00 2.20 .0279 4 1.00 2.07 .0280 5 1.00 1.76 .0281 4 1.00 1.97 .0282 5 1.00 1.90 .0283 6 1.00 2.03 .0284 4 1.00 1.92 .0285 4 1.00 2.07 .0286 4 1.00 1.95 .0287 8 1.00 1.36 .0288 8 1.00 1.37 .0289 5 1.00 1.76 .0290 4 1.00 1.84 .0291 5 1.00 1.47 .0292 1 1.00 0.44 .0293 9 1.00 1.41 .0294 6 1.00 1.78 .0295 4 1.00 2.03 .0296 5 1.00 1.86 .0297 4 1.00 2.07 .0298 8 1.00 1.69 .0299 5 1.00 1.81 .0300 4 1.00 1.96 .0301 5 1.00 1.92 .0302 3 1.00 2.18 .0303 6 1.00 1.41 .0304 5 1.00 1.22 .0305 5 1.00 1.61 .0306 4 1.00 1.68 .0307 4 1.00 1.70 .0308 5 1.00 1.97 .0309 5 1.00 1.65 .0310 7 1.00 1.74 .0311 2 1.00 0.53 .0312 5 1.00 1.93 .0313 5 1.00 1.52 .0314 4 1.00 1.79 .0315 6 1.00 1.50 .0316 5 1.00 1.51 .0317 4 1.00 2.11 .0318 7 1.00 1.84 .0319 4 1.00 2.30 EXTRACT_IMAGE: b2: masked 3726 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 0 FITDISPERSION: b2: Median wavelength widths = 0.81 0.81 0.85 0.87 pix (LL LR UL UR) SPCALIB: b2: Create fiberflats for flat # 1 of 2 SPCALIB: b2: Flat sdR-b2-00034585.fit paired with arc sdR-b2-00034586.fit SPCALIB: b2: Reading flat sdR-b2-00034585.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.82991 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1232.71 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1213. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.39000 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1204.20 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1187. DN is 0 SDSSPROC: b2: Number of bleading columns = 2 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.29 .0001 1 0.91 1.14 .0002 1 0.91 1.13 .0003 1 0.91 1.08 .0004 1 0.91 1.13 .0005 1 0.91 1.15 .0006 1 0.91 1.18 .0007 1 0.91 1.13 .0008 1 0.91 1.13 .0009 1 0.91 1.19 .0010 1 0.91 1.08 .0011 1 0.91 1.09 .0012 1 0.91 1.17 .0013 1 0.91 1.21 .0014 1 0.91 1.09 .0015 1 0.91 1.22 .0016 1 0.91 1.16 .0017 1 0.91 1.13 .0018 1 0.91 1.17 .0019 1 0.91 1.13 .0020 1 0.91 1.12 .0021 1 0.91 1.13 .0022 1 0.91 1.11 .0023 1 0.91 1.10 .0024 1 0.91 1.18 .0025 1 0.91 1.06 .0026 1 0.91 1.15 .0027 1 0.91 1.05 .0028 1 0.91 1.04 .0029 1 0.91 1.14 .0030 1 0.91 1.17 .0031 1 0.91 1.18 .0032 1 0.91 1.08 .0033 1 0.91 1.11 .0034 1 0.91 1.10 .0035 1 0.91 1.14 .0036 1 0.91 1.24 .0037 1 0.91 1.27 .0038 1 0.91 1.17 .0039 1 0.91 1.11 .0040 1 0.91 1.06 .0041 1 0.91 1.11 .0042 1 0.91 1.08 .0043 1 0.91 1.16 .0044 1 0.91 1.18 .0045 1 0.91 1.04 .0046 1 0.91 1.14 .0047 1 0.91 1.09 .0048 1 0.91 1.13 .0049 1 0.91 1.05 .0050 1 0.91 1.10 .0051 3 0.91 1.04 .0052 3 0.91 1.05 .0053 1 0.91 1.09 .0054 1 0.91 1.18 .0055 1 0.91 1.12 .0056 1 0.91 1.10 .0057 1 0.91 1.15 .0058 1 0.91 1.23 .0059 1 0.91 1.08 .0060 1 0.91 1.13 .0061 1 0.91 1.19 .0062 1 0.91 1.07 .0063 1 0.91 1.09 .0064 1 0.91 1.18 .0065 1 0.91 1.20 .0066 1 0.91 1.15 .0067 1 0.91 1.10 .0068 1 0.91 1.12 .0069 1 0.91 1.13 .0070 1 0.91 1.13 .0071 1 0.91 1.10 .0072 1 0.91 1.10 .0073 1 0.91 1.16 .0074 1 0.91 1.10 .0075 1 0.91 1.13 .0076 1 0.91 1.09 .0077 1 0.91 1.18 .0078 1 0.91 1.12 .0079 1 0.91 1.07 .0080 1 0.91 1.13 .0081 1 0.91 1.10 .0082 1 0.91 1.05 .0083 2 0.91 1.10 .0084 1 0.91 1.12 .0085 1 0.91 1.05 .0086 1 0.91 1.09 .0087 1 0.91 1.10 .0088 1 0.91 1.16 .0089 2 0.91 1.19 .0090 1 0.91 1.06 .0091 1 0.91 1.09 .0092 1 0.91 1.14 .0093 1 0.91 1.13 .0094 1 0.91 1.12 .0095 1 0.91 1.16 .0096 1 0.91 1.24 .0097 2 0.91 1.16 .0098 1 0.91 1.15 .0099 1 0.91 1.15 .0100 1 0.91 1.17 .0101 1 0.91 1.10 .0102 1 0.91 1.28 .0103 1 0.91 1.21 .0104 1 0.91 1.24 .0105 1 0.91 1.20 .0106 1 0.91 1.31 .0107 1 0.91 1.28 .0108 1 0.91 1.15 .0109 1 0.91 1.25 .0110 1 0.91 1.21 .0111 1 0.91 1.24 .0112 1 0.91 1.23 .0113 1 0.91 1.28 .0114 1 0.91 1.38 .0115 1 0.91 1.24 .0116 1 0.91 1.30 .0117 2 0.91 1.25 .0118 1 0.91 1.21 .0119 1 0.91 1.34 .0120 1 0.91 1.20 .0121 2 0.91 1.39 .0122 1 0.91 1.61 .0123 1 0.91 1.17 .0124 1 0.91 1.31 .0125 1 0.91 1.36 .0126 1 0.91 1.19 .0127 1 0.91 1.24 .0128 1 0.91 1.28 .0129 1 0.91 1.21 .0130 1 0.91 1.39 .0131 1 0.91 1.31 .0132 1 0.91 1.33 .0133 1 0.91 1.27 .0134 1 0.91 1.21 .0135 1 0.91 1.28 .0136 1 0.91 1.38 .0137 1 0.91 1.22 .0138 1 0.91 1.30 .0139 1 0.91 1.25 .0140 1 0.91 1.22 .0141 1 0.91 1.26 .0142 2 0.91 1.39 .0143 1 0.91 1.26 .0144 1 0.91 1.33 .0145 1 0.91 1.22 .0146 1 0.91 1.28 .0147 1 0.91 1.29 .0148 1 0.91 1.35 .0149 1 0.91 1.38 .0150 1 0.91 1.30 .0151 1 0.91 1.33 .0152 1 0.91 1.31 .0153 1 0.91 1.28 .0154 1 0.91 1.29 .0155 1 0.91 1.35 .0156 1 0.91 1.27 .0157 1 0.91 1.35 .0158 1 0.91 1.27 .0159 1 0.91 1.36 .0160 1 0.91 1.27 .0161 1 0.91 1.26 .0162 1 0.91 1.41 .0163 1 0.91 1.22 .0164 1 0.91 1.36 .0165 2 0.91 1.40 .0166 3 0.91 1.47 .0167 1 0.91 1.33 .0168 1 0.91 1.31 .0169 1 0.91 1.29 .0170 1 0.91 1.26 .0171 1 0.91 1.27 .0172 1 0.91 1.25 .0173 1 0.91 1.23 .0174 1 0.91 1.21 .0175 1 0.91 1.41 .0176 1 0.91 1.29 .0177 1 0.91 1.30 .0178 1 0.91 1.27 .0179 2 0.91 1.41 .0180 1 0.91 1.28 .0181 1 0.91 1.27 .0182 1 0.91 1.26 .0183 1 0.91 1.30 .0184 1 0.91 1.25 .0185 1 0.91 1.26 .0186 1 0.91 1.26 .0187 1 0.91 1.25 .0188 1 0.91 1.26 .0189 1 0.91 1.29 .0190 1 0.91 1.28 .0191 1 0.91 1.36 .0192 1 0.91 1.41 .0193 1 0.91 1.30 .0194 1 0.91 1.22 .0195 1 0.91 1.37 .0196 1 0.91 1.29 .0197 1 0.91 1.28 .0198 1 0.91 1.35 .0199 1 0.91 1.23 .0200 1 0.91 1.25 .0201 1 0.91 1.51 .0202 2 0.91 1.26 .0203 1 0.91 1.35 .0204 1 0.91 1.31 .0205 1 0.91 1.34 .0206 1 0.91 1.27 .0207 1 0.91 1.31 .0208 1 0.91 1.40 .0209 1 0.91 1.32 .0210 1 0.91 1.30 .0211 1 0.91 1.37 .0212 1 0.91 1.21 .0213 1 0.91 1.29 .0214 1 0.91 1.36 .0215 1 0.91 1.35 .0216 1 0.91 1.23 .0217 1 0.91 1.32 .0218 1 0.91 1.25 .0219 1 0.91 1.28 .0220 1 0.91 1.31 .0221 1 0.91 1.26 .0222 1 0.91 1.25 .0223 1 0.91 1.28 .0224 1 0.91 1.27 .0225 1 0.91 1.38 .0226 1 0.91 1.34 .0227 1 0.91 1.30 .0228 1 0.91 1.34 .0229 1 0.91 1.30 .0230 1 0.91 1.32 .0231 1 0.91 1.28 .0232 1 0.91 1.29 .0233 1 0.91 1.32 .0234 1 0.91 1.45 .0235 4 0.91 1.35 .0236 3 0.91 1.39 .0237 1 0.91 1.33 .0238 1 0.91 1.39 .0239 2 0.91 1.24 .0240 2 0.91 1.44 .0241 3 0.91 1.32 .0242 2 0.91 1.38 .0243 3 0.91 1.44 .0244 2 0.90 1.63 .0245 2 0.90 1.44 .0246 1 0.90 1.40 .0247 1 0.90 1.29 .0248 2 0.90 1.39 .0249 1 0.90 1.28 .0250 1 0.90 1.32 .0251 1 0.90 1.44 .0252 2 0.90 1.54 .0253 2 0.90 1.72 .0254 1 0.90 1.36 .0255 1 0.90 1.36 .0256 1 0.90 1.39 .0257 1 0.90 1.37 .0258 1 0.90 1.35 .0259 1 0.90 1.37 .0260 1 0.90 1.36 .0261 1 0.90 1.35 .0262 1 0.90 1.45 .0263 1 0.90 1.37 .0264 1 0.90 1.36 .0265 1 0.90 1.36 .0266 1 0.90 1.37 .0267 1 0.90 1.36 .0268 1 0.90 1.36 .0269 1 0.90 1.37 .0270 1 0.90 1.46 .0271 1 0.90 1.36 .0272 1 0.90 1.42 .0273 1 0.90 1.42 .0274 1 0.90 1.58 .0275 2 0.90 1.74 .0276 1 0.90 1.64 .0277 1 0.90 1.38 .0278 1 0.90 1.41 .0279 1 0.90 1.38 .0280 1 0.90 1.38 .0281 1 0.90 1.49 .0282 1 0.90 1.45 .0283 1 0.90 1.46 .0284 1 0.90 1.37 .0285 1 0.90 1.43 .0286 1 0.90 1.41 .0287 1 0.90 1.46 .0288 1 0.90 1.49 .0289 1 0.90 1.46 .0290 2 0.90 1.55 .0291 1 0.90 1.50 .0292 1 0.90 1.55 .0293 1 0.90 1.50 .0294 1 0.90 1.44 .0295 1 0.90 1.41 .0296 2 0.90 1.53 .0297 1 0.90 1.52 .0298 1 0.90 1.56 .0299 1 0.90 1.55 .0300 1 0.90 1.48 .0301 1 0.90 1.48 .0302 1 0.90 1.53 .0303 1 0.90 1.73 .0304 3 0.90 1.57 .0305 2 0.90 1.93 .0306 1 0.90 1.60 .0307 1 0.90 1.60 .0308 1 0.90 1.50 .0309 1 0.90 1.61 .0310 1 0.90 1.58 .0311 1 0.90 1.72 .0312 1 0.90 1.62 .0313 1 0.90 1.60 .0314 1 0.90 1.69 .0315 1 0.90 1.73 .0316 1 0.90 1.73 .0317 1 0.90 1.61 .0318 1 0.90 1.67 .0319 1 0.90 1.75 .0320 1 0.90 1.70 .0321 1 0.90 1.87 .0322 1 0.90 1.68 .0323 1 0.90 1.81 .0324 1 0.90 1.81 .0325 1 0.90 1.75 .0326 1 0.90 1.64 .0327 1 0.90 1.76 .0328 1 0.90 1.77 .0329 1 0.90 1.70 .0330 1 0.90 1.74 .0331 1 0.90 1.87 .0332 1 0.90 1.85 .0333 1 0.90 1.72 .0334 1 0.90 1.82 .0335 1 0.90 1.81 .0336 1 0.90 1.79 .0337 1 0.90 1.80 .0338 1 0.90 1.87 .0339 1 0.90 1.80 .0340 1 0.90 1.84 .0341 1 0.90 1.94 .0342 2 0.90 1.97 .0343 2 0.90 2.07 .0344 1 0.90 1.86 .0345 1 0.90 1.94 .0346 1 0.90 2.03 .0347 1 0.90 2.06 .0348 1 0.90 2.09 .0349 1 0.90 2.10 .0350 1 0.90 2.28 .0351 1 0.90 2.07 .0352 1 0.90 2.07 .0353 1 0.90 2.13 .0354 2 0.90 2.04 .0355 1 0.90 2.14 .0356 1 0.90 2.19 .0357 1 0.90 2.19 .0358 1 0.90 2.23 .0359 1 0.90 2.16 .0360 1 0.90 2.25 .0361 1 0.90 2.29 .0362 1 0.90 2.22 .0363 1 0.90 2.22 .0364 1 0.90 2.30 .0365 1 0.90 2.18 .0366 1 0.90 2.28 .0367 1 0.90 2.30 .0368 1 0.90 2.28 .0369 1 0.90 2.33 .0370 1 0.90 2.20 .0371 1 0.90 2.32 .0372 1 0.90 2.22 .0373 1 0.90 2.30 .0374 1 0.90 2.34 .0375 1 0.90 2.31 .0376 1 0.90 2.40 .0377 1 0.90 2.31 .0378 1 0.90 2.41 .0379 1 0.90 2.33 .0380 1 0.90 2.54 .0381 1 0.90 2.47 .0382 1 0.90 2.45 .0383 1 0.90 2.43 .0384 1 0.90 2.55 .0385 1 0.90 2.60 .0386 1 0.90 2.63 .0387 1 0.90 2.77 .0388 1 0.90 2.60 .0389 1 0.90 2.51 .0390 1 0.90 2.56 .0391 1 0.90 2.50 .0392 1 0.90 2.63 .0393 1 0.90 2.63 .0394 1 0.90 2.63 .0395 1 0.90 2.72 .0396 1 0.90 2.69 .0397 1 0.90 2.66 .0398 1 0.90 2.71 .0399 1 0.90 2.83 .0400 1 0.90 2.69 .0401 1 0.90 2.72 .0402 1 0.90 2.55 .0403 1 0.90 2.59 .0404 1 0.90 2.55 .0405 1 0.90 2.74 .0406 1 0.90 2.66 .0407 1 0.90 2.52 .0408 1 0.90 2.56 .0409 1 0.90 2.66 .0410 1 0.90 2.96 .0411 1 0.90 2.60 .0412 1 0.90 2.64 .0413 1 0.90 2.63 .0414 1 0.90 2.58 .0415 1 0.90 2.61 .0416 1 0.90 2.59 .0417 1 0.90 2.62 .0418 1 0.90 2.59 .0419 1 0.90 2.62 .0420 1 0.90 2.73 .0421 1 0.90 2.63 .0422 1 0.90 2.62 .0423 1 0.90 2.76 .0424 1 0.90 2.81 .0425 1 0.90 2.66 .0426 1 0.90 2.85 .0427 1 0.90 2.75 .0428 1 0.90 2.72 .0429 1 0.90 2.83 .0430 2 0.90 2.74 .0431 1 0.90 2.72 .0432 1 0.90 2.84 .0433 1 0.90 2.73 .0434 1 0.90 2.94 .0435 1 0.90 2.79 .0436 1 0.90 2.83 .0437 1 0.90 2.82 .0438 1 0.90 2.87 .0439 1 0.90 2.94 .0440 1 0.90 2.77 .0441 1 0.90 3.00 .0442 1 0.90 2.92 .0443 1 0.90 2.86 .0444 1 0.90 2.89 .0445 1 0.90 2.93 .0446 1 0.90 2.95 .0447 1 0.90 2.80 .0448 1 0.90 2.77 .0449 1 0.90 2.83 .0450 1 0.90 2.93 .0451 1 0.90 2.83 .0452 1 0.90 2.88 .0453 1 0.90 2.74 .0454 1 0.90 2.93 .0455 1 0.90 2.90 .0456 1 0.90 2.79 .0457 1 0.90 2.80 .0458 1 0.90 3.00 .0459 1 0.90 2.89 .0460 1 0.90 2.84 .0461 1 0.90 2.87 .0462 1 0.90 2.67 .0463 1 0.90 2.78 .0464 1 0.90 2.92 .0465 1 0.90 3.00 .0466 1 0.90 2.84 .0467 1 0.90 2.91 .0468 1 0.90 3.02 .0469 1 0.90 3.01 .0470 1 0.90 2.92 .0471 1 0.90 2.98 .0472 1 0.90 3.07 .0473 1 0.90 3.01 .0474 1 0.90 3.07 .0475 1 0.90 3.15 .0476 1 0.90 2.95 .0477 1 0.90 2.91 .0478 1 0.90 2.93 .0479 1 0.90 3.37 .0480 1 0.90 3.03 .0481 1 0.90 3.03 .0482 1 0.90 3.00 .0483 1 0.90 2.91 .0484 1 0.90 3.15 .0485 1 0.90 3.01 .0486 1 0.90 3.06 .0487 1 0.90 3.15 .0488 1 0.90 2.99 .0489 1 0.90 3.29 .0490 1 0.90 3.18 .0491 1 0.90 2.97 .0492 1 0.90 3.08 .0493 1 0.90 2.82 .0494 1 0.90 2.96 .0495 1 0.90 2.84 .0496 1 0.90 2.92 .0497 1 0.90 3.07 .0498 1 0.90 2.91 .0499 1 0.90 2.94 .0500 3 0.90 2.73 .0501 2 0.90 2.86 .0502 2 0.90 3.16 .0503 1 0.90 2.98 .0504 1 0.90 2.83 .0505 1 0.90 2.76 .0506 1 0.90 2.92 .0507 1 0.90 2.78 .0508 1 0.90 2.82 .0509 1 0.90 2.88 .0510 1 0.90 3.00 .0511 1 0.90 2.75 .0512 1 0.90 2.86 .0513 1 0.90 2.96 .0514 1 0.90 2.90 .0515 1 0.90 2.88 .0516 1 0.90 2.96 .0517 1 0.90 2.98 .0518 1 0.90 3.01 .0519 1 0.90 2.95 .0520 1 0.90 3.01 .0521 1 0.90 2.80 .0522 1 0.90 3.00 .0523 1 0.90 2.92 .0524 1 0.90 3.07 .0525 1 0.90 2.98 .0526 1 0.90 2.84 .0527 1 0.90 2.97 .0528 1 0.90 2.93 .0529 1 0.90 2.91 .0530 1 0.90 3.13 .0531 1 0.90 2.89 .0532 1 0.90 2.97 .0533 1 0.90 2.85 .0534 1 0.90 2.84 .0535 1 0.90 2.83 .0536 1 0.90 2.76 .0537 1 0.90 2.89 .0538 1 0.90 2.86 .0539 1 0.90 2.81 .0540 1 0.90 2.82 .0541 1 0.90 2.83 .0542 1 0.90 2.95 .0543 1 0.90 2.68 .0544 1 0.90 2.87 .0545 1 0.90 2.87 .0546 1 0.90 2.86 .0547 1 0.90 2.72 .0548 1 0.90 2.88 .0549 1 0.90 2.81 .0550 1 0.90 2.86 .0551 1 0.90 2.77 .0552 1 0.90 2.79 .0553 1 0.90 2.64 .0554 1 0.90 2.74 .0555 1 0.90 2.69 .0556 1 0.90 2.77 .0557 1 0.90 2.89 .0558 1 0.90 2.80 .0559 1 0.90 2.82 .0560 1 0.90 2.83 .0561 2 0.90 2.97 .0562 1 0.90 3.35 .0563 1 0.90 2.75 .0564 1 0.90 2.77 .0565 1 0.90 2.73 .0566 1 0.90 2.90 .0567 1 0.90 2.74 .0568 1 0.90 2.84 .0569 1 0.90 2.89 .0570 1 0.90 2.71 .0571 1 0.90 2.79 .0572 1 0.90 2.86 .0573 1 0.90 2.74 .0574 1 0.90 2.79 .0575 1 0.90 2.70 .0576 1 0.90 2.72 .0577 1 0.90 2.69 .0578 1 0.90 2.79 .0579 1 0.90 2.72 .0580 1 0.90 2.64 .0581 1 0.90 2.58 .0582 1 0.90 2.60 .0583 1 0.90 2.64 .0584 1 0.90 2.61 .0585 1 0.90 2.64 .0586 1 0.90 2.76 .0587 1 0.90 2.63 .0588 1 0.90 2.99 .0589 1 0.90 3.14 .0590 1 0.90 2.63 .0591 1 0.90 2.83 .0592 1 0.90 2.60 .0593 1 0.90 2.59 .0594 1 0.90 2.65 .0595 1 0.90 2.64 .0596 1 0.90 2.91 .0597 1 0.90 2.71 .0598 1 0.90 2.61 .0599 1 0.90 2.72 .0600 1 0.90 2.69 .0601 1 0.90 2.71 .0602 1 0.90 2.50 .0603 1 0.90 2.69 .0604 1 0.90 2.71 .0605 1 0.90 2.86 .0606 1 0.90 2.67 .0607 1 0.90 2.78 .0608 1 0.90 2.45 .0609 1 0.90 2.57 .0610 1 0.90 3.04 .0611 1 0.90 2.59 .0612 1 0.90 2.67 .0613 1 0.90 2.80 .0614 1 0.90 2.77 .0615 1 0.90 2.55 .0616 1 0.90 2.68 .0617 1 0.90 2.72 .0618 1 0.90 2.41 .0619 1 0.90 2.44 .0620 1 0.90 2.57 .0621 1 0.90 2.69 .0622 1 0.90 2.55 .0623 1 0.90 2.58 .0624 1 0.90 2.47 .0625 1 0.90 2.45 .0626 1 0.90 2.73 .0627 1 0.90 2.75 .0628 1 0.90 2.81 .0629 1 0.90 2.70 .0630 1 0.90 2.77 .0631 1 0.90 2.70 .0632 1 0.90 3.21 .0633 1 0.90 2.70 .0634 1 0.90 2.62 .0635 1 0.90 2.63 .0636 1 0.90 2.55 .0637 1 0.90 2.60 .0638 1 0.90 2.67 .0639 1 0.90 2.69 .0640 1 0.90 2.62 .0641 1 0.90 2.63 .0642 1 0.90 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1 0.90 2.59 .0699 1 0.90 2.66 .0700 1 0.90 2.72 .0701 1 0.90 2.68 .0702 1 0.90 2.82 .0703 1 0.90 2.77 .0704 1 0.90 2.76 .0705 1 0.90 2.78 .0706 1 0.90 2.84 .0707 1 0.90 2.73 .0708 1 0.90 2.82 .0709 1 0.90 2.87 .0710 2 0.90 2.91 .0711 2 0.90 2.96 .0712 2 0.90 2.89 .0713 1 0.90 2.78 .0714 2 0.90 2.75 .0715 1 0.90 3.00 .0716 1 0.90 2.67 .0717 1 0.90 2.87 .0718 1 0.90 2.91 .0719 1 0.90 2.86 .0720 1 0.90 2.77 .0721 1 0.90 2.93 .0722 1 0.90 2.84 .0723 1 0.90 2.83 .0724 2 0.90 2.96 .0725 2 0.90 2.81 .0726 1 0.90 2.87 .0727 1 0.90 2.75 .0728 1 0.90 2.68 .0729 1 0.90 2.82 .0730 1 0.90 3.24 .0731 1 0.90 2.79 .0732 1 0.90 2.77 .0733 1 0.90 2.77 .0734 1 0.90 3.86 .0735 1 0.90 3.30 .0736 1 0.90 2.87 .0737 1 0.90 2.74 .0738 1 0.90 2.80 .0739 1 0.90 2.85 .0740 1 0.90 2.77 .0741 1 0.90 2.71 .0742 1 0.90 2.87 .0743 1 0.90 2.80 .0744 1 0.90 2.87 .0745 1 0.90 2.81 .0746 1 0.90 2.90 .0747 1 0.90 3.05 .0748 1 0.90 2.84 .0749 1 0.90 2.91 .0750 1 0.90 3.01 .0751 1 0.90 2.91 .0752 1 0.90 3.09 .0753 1 0.90 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1 0.90 3.82 .1143 1 0.90 3.76 .1144 1 0.90 3.73 .1145 1 0.90 3.84 .1146 1 0.90 3.75 .1147 1 0.90 3.84 .1148 1 0.90 3.65 .1149 1 0.90 3.76 .1150 1 0.90 3.75 .1151 1 0.90 3.90 .1152 1 0.90 3.86 .1153 1 0.90 3.58 .1154 1 0.90 3.96 .1155 1 0.90 3.82 .1156 1 0.90 3.84 .1157 1 0.90 3.81 .1158 1 0.90 4.32 .1159 1 0.90 3.78 .1160 1 0.90 3.89 .1161 1 0.90 3.80 .1162 1 0.90 3.93 .1163 1 0.90 3.91 .1164 1 0.90 4.10 .1165 1 0.90 3.96 .1166 1 0.90 4.04 .1167 1 0.90 3.99 .1168 1 0.90 4.03 .1169 1 0.90 4.00 .1170 1 0.90 3.75 .1171 1 0.90 3.94 .1172 1 0.90 3.86 .1173 1 0.90 3.93 .1174 1 0.90 4.01 .1175 2 0.90 3.83 .1176 1 0.90 4.02 .1177 1 0.90 3.79 .1178 1 0.90 3.90 .1179 1 0.90 3.81 .1180 1 0.90 4.34 .1181 2 0.90 3.78 .1182 1 0.90 3.98 .1183 1 0.90 3.93 .1184 1 0.90 3.92 .1185 1 0.90 3.91 .1186 1 0.90 3.94 .1187 1 0.90 3.96 .1188 2 0.90 3.96 .1189 1 0.90 4.14 .1190 1 0.90 3.90 .1191 1 0.90 3.90 .1192 1 0.90 4.02 .1193 1 0.90 4.12 .1194 1 0.90 4.08 .1195 1 0.90 3.93 .1196 1 0.90 4.04 .1197 1 0.90 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1 0.90 4.25 .1254 1 0.90 4.26 .1255 2 0.90 4.18 .1256 2 0.90 3.97 .1257 2 0.90 4.36 .1258 1 0.90 4.15 .1259 2 0.90 4.16 .1260 1 0.90 3.99 .1261 1 0.90 3.82 .1262 1 0.90 4.08 .1263 1 0.90 3.96 .1264 1 0.90 4.49 .1265 1 0.90 4.01 .1266 1 0.90 3.95 .1267 1 0.90 4.08 .1268 1 0.90 3.96 .1269 1 0.90 4.04 .1270 1 0.90 4.51 .1271 1 0.89 4.26 .1272 3 0.89 4.39 .1273 1 0.89 4.11 .1274 1 0.89 4.05 .1275 1 0.89 4.04 .1276 1 0.89 3.92 .1277 1 0.89 4.01 .1278 1 0.89 4.13 .1279 1 0.89 3.89 .1280 1 0.89 4.00 .1281 1 0.89 4.20 .1282 1 0.89 4.09 .1283 1 0.89 4.02 .1284 1 0.89 4.08 .1285 1 0.89 4.05 .1286 1 0.89 4.07 .1287 1 0.89 4.04 .1288 1 0.89 3.98 .1289 1 0.89 4.14 .1290 1 0.89 4.00 .1291 1 0.89 5.58 .1292 1 0.89 4.18 .1293 2 0.89 4.13 .1294 2 0.89 4.37 .1295 1 0.89 4.07 .1296 1 0.89 4.15 .1297 2 0.89 4.14 .1298 1 0.89 4.41 .1299 1 0.89 4.01 .1300 1 0.89 4.06 .1301 1 0.89 3.90 .1302 1 0.89 3.99 .1303 1 0.89 4.01 .1304 1 0.89 4.58 .1305 1 0.89 3.99 .1306 1 0.89 4.03 .1307 1 0.89 4.01 .1308 1 0.89 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1 0.91 2.40 .2031 1 0.91 2.34 .2032 1 0.91 2.50 .2033 1 0.91 2.40 .2034 1 0.91 2.27 .2035 1 0.91 2.44 .2036 1 0.91 2.59 .2037 1 0.91 2.38 .2038 2 0.91 2.53 .2039 2 0.91 2.26 .2040 2 0.91 2.43 .2041 1 0.91 2.36 .2042 1 0.91 2.35 .2043 1 0.91 2.34 .2044 1 0.91 2.37 .2045 1 0.91 2.31 .2046 1 0.91 2.29 .2047 1 0.91 2.37 EXTRACT_IMAGE: b2: masked 161 pixels DOSCATTER: b2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b2: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b2: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 32 0.01 0.06 Step 10 of 2080 0.62 32 0.03 0.07 Step 14 of 2080 0.62 64 0.03 0.11 Step 18 of 2080 0.61 64 0.03 0.11 Step 22 of 2080 0.61 64 0.03 0.11 Step 26 of 2080 0.61 64 0.03 0.12 Step 30 of 2080 0.61 64 0.03 0.11 Step 34 of 2080 0.61 64 0.03 0.12 Step 38 of 2080 0.61 64 0.03 0.11 Step 42 of 2080 0.61 64 0.03 0.11 Step 46 of 2080 0.61 64 0.03 0.11 Step 50 of 2080 0.61 64 0.03 0.11 Step 54 of 2080 0.61 64 0.03 0.11 Step 58 of 2080 0.61 64 0.03 0.11 Step 62 of 2080 0.61 64 0.03 0.11 Step 66 of 2080 0.61 64 0.03 0.11 Step 70 of 2080 0.61 64 0.03 0.13 Step 74 of 2080 0.61 64 0.02 0.10 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.02 0.11 Step 86 of 2080 0.61 64 0.02 0.12 Step 90 of 2080 0.61 64 0.02 0.12 Step 94 of 2080 0.61 64 0.02 0.11 Step 98 of 2080 0.60 64 0.02 0.12 Step 102 of 2080 0.60 64 0.02 0.11 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.02 0.11 Step 114 of 2080 0.60 64 0.02 0.11 Step 118 of 2080 0.60 64 0.02 0.10 Step 122 of 2080 0.60 64 0.02 0.10 Step 126 of 2080 0.60 64 0.02 0.11 Step 130 of 2080 0.60 64 0.02 0.10 Step 134 of 2080 0.60 64 0.02 0.11 Step 138 of 2080 0.60 64 0.02 0.12 Step 142 of 2080 0.60 64 0.02 0.11 Step 146 of 2080 0.60 64 0.03 0.12 Step 150 of 2080 0.60 64 0.03 0.12 Step 154 of 2080 0.60 64 0.03 0.12 Step 158 of 2080 0.60 64 0.03 0.15 Step 162 of 2080 0.60 64 0.04 0.14 Step 166 of 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64 0.03 0.12 Step 1190 of 2080 0.47 64 0.03 0.12 Step 1194 of 2080 0.47 64 0.03 0.12 Step 1198 of 2080 0.47 64 0.03 0.12 Step 1202 of 2080 0.47 64 0.03 0.13 Step 1206 of 2080 0.47 64 0.03 0.12 Step 1210 of 2080 0.47 64 0.04 0.14 Step 1214 of 2080 0.47 64 0.03 0.13 Step 1218 of 2080 0.47 64 0.03 0.13 Step 1222 of 2080 0.47 64 0.03 0.13 Step 1226 of 2080 0.47 64 0.03 0.11 Step 1230 of 2080 0.47 64 0.04 0.13 Step 1234 of 2080 0.47 64 0.03 0.11 Step 1238 of 2080 0.47 64 0.03 0.11 Step 1242 of 2080 0.47 64 0.03 0.12 Step 1246 of 2080 0.47 64 0.03 0.12 Step 1250 of 2080 0.47 64 0.03 0.13 Step 1254 of 2080 0.47 64 0.03 0.12 Step 1258 of 2080 0.47 64 0.03 0.11 Step 1262 of 2080 0.46 64 0.03 0.12 Step 1266 of 2080 0.46 64 0.03 0.12 Step 1270 of 2080 0.46 64 0.03 0.12 Step 1274 of 2080 0.46 64 0.03 0.11 Step 1278 of 2080 0.46 64 0.03 0.11 Step 1282 of 2080 0.46 64 0.03 0.11 Step 1286 of 2080 0.46 64 0.03 0.14 Step 1290 of 2080 0.46 64 0.03 0.14 Step 1294 of 2080 0.46 64 0.03 0.12 Step 1298 of 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2080 0.41 64 0.03 0.11 Step 1746 of 2080 0.41 64 0.03 0.11 Step 1750 of 2080 0.41 64 0.03 0.11 Step 1754 of 2080 0.41 64 0.03 0.11 Step 1758 of 2080 0.41 64 0.03 0.12 Step 1762 of 2080 0.41 64 0.04 0.12 Step 1766 of 2080 0.41 64 0.04 0.13 Step 1770 of 2080 0.41 64 0.04 0.13 Step 1774 of 2080 0.41 64 0.04 0.13 Step 1778 of 2080 0.41 64 0.04 0.13 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.04 0.13 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.11 Step 1798 of 2080 0.41 64 0.04 0.12 Step 1802 of 2080 0.41 64 0.04 0.13 Step 1806 of 2080 0.41 64 0.04 0.13 Step 1810 of 2080 0.41 64 0.04 0.12 Step 1814 of 2080 0.40 64 0.04 0.14 Step 1818 of 2080 0.40 64 0.03 0.11 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.03 0.12 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.12 Step 1846 of 2080 0.40 64 0.04 0.12 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.03 0.11 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.03 0.12 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.03 0.13 Step 1890 of 2080 0.40 64 0.03 0.11 Step 1894 of 2080 0.40 64 0.03 0.11 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.04 0.13 Step 1906 of 2080 0.40 64 0.04 0.12 Step 1910 of 2080 0.39 64 0.04 0.13 Step 1914 of 2080 0.39 64 0.04 0.13 Step 1918 of 2080 0.39 64 0.04 0.12 Step 1922 of 2080 0.39 64 0.04 0.13 Step 1926 of 2080 0.39 64 0.05 0.13 Step 1930 of 2080 0.39 64 0.04 0.14 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.04 0.13 Step 1942 of 2080 0.39 64 0.03 0.12 Step 1946 of 2080 0.39 64 0.04 0.13 Step 1950 of 2080 0.39 64 0.04 0.12 Step 1954 of 2080 0.39 64 0.03 0.11 Step 1958 of 2080 0.39 64 0.03 0.11 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.13 Step 1990 of 2080 0.39 64 0.03 0.13 Step 1994 of 2080 0.39 64 0.03 0.11 Step 1998 of 2080 0.39 64 0.03 0.13 Step 2002 of 2080 0.39 64 0.02 0.12 Step 2006 of 2080 0.39 64 0.02 0.11 Step 2010 of 2080 0.38 64 0.03 0.13 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.02 0.12 Step 2022 of 2080 0.38 64 0.02 0.11 Step 2026 of 2080 0.38 64 0.02 0.13 Step 2030 of 2080 0.38 64 0.02 0.12 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.12 Step 2042 of 2080 0.38 64 0.03 0.13 Step 2046 of 2080 0.38 64 0.03 0.12 Step 2050 of 2080 0.38 64 0.03 0.12 Step 2054 of 2080 0.38 64 0.03 0.13 Step 2058 of 2080 0.38 64 0.03 0.12 Step 2062 of 2080 0.38 64 0.03 0.13 Step 2066 of 2080 0.38 64 0.03 0.12 Step 2070 of 2080 0.38 64 0.03 0.13 Step 2074 of 2080 0.38 64 0.03 0.13 Step 2078 of 2080 0.38 64 0.03 0.14 ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.33 .0001 1 0.91 1.20 .0002 1 0.91 1.23 .0003 1 0.91 1.22 .0004 1 0.91 1.18 .0005 1 0.91 1.25 .0006 1 0.91 1.29 .0007 1 0.91 1.23 .0008 1 0.91 1.22 .0009 1 0.91 1.28 .0010 1 0.91 1.16 .0011 1 0.91 1.21 .0012 1 0.91 1.26 .0013 1 0.91 1.23 .0014 1 0.91 1.15 .0015 1 0.91 1.28 .0016 1 0.91 1.23 .0017 1 0.91 1.15 .0018 1 0.91 1.22 .0019 1 0.91 1.17 .0020 1 0.91 1.19 .0021 1 0.91 1.16 .0022 1 0.91 1.14 .0023 1 0.91 1.14 .0024 1 0.91 1.19 .0025 1 0.91 1.11 .0026 1 0.91 1.18 .0027 1 0.91 1.11 .0028 1 0.91 1.09 .0029 1 0.91 1.16 .0030 1 0.91 1.18 .0031 1 0.91 1.19 .0032 1 0.91 1.11 .0033 1 0.91 1.11 .0034 1 0.91 1.08 .0035 1 0.91 1.13 .0036 1 0.91 1.24 .0037 1 0.91 1.27 .0038 1 0.91 1.17 .0039 1 0.91 1.10 .0040 1 0.91 1.06 .0041 1 0.91 1.09 .0042 1 0.91 1.07 .0043 1 0.91 1.13 .0044 1 0.91 1.16 .0045 1 0.91 1.03 .0046 1 0.91 1.11 .0047 1 0.91 1.06 .0048 1 0.91 1.11 .0049 1 0.91 1.03 .0050 1 0.91 1.09 .0051 3 0.91 1.03 .0052 3 0.91 1.04 .0053 1 0.91 1.08 .0054 1 0.91 1.15 .0055 1 0.91 1.11 .0056 1 0.91 1.09 .0057 1 0.91 1.13 .0058 1 0.91 1.22 .0059 1 0.91 1.07 .0060 1 0.91 1.10 .0061 1 0.91 1.16 .0062 1 0.91 1.05 .0063 1 0.91 1.06 .0064 1 0.91 1.14 .0065 1 0.91 1.17 .0066 1 0.91 1.10 .0067 1 0.91 1.09 .0068 1 0.91 1.09 .0069 1 0.91 1.11 .0070 1 0.91 1.12 .0071 1 0.91 1.06 .0072 1 0.91 1.07 .0073 1 0.91 1.13 .0074 1 0.91 1.08 .0075 1 0.91 1.09 .0076 1 0.91 1.07 .0077 1 0.91 1.16 .0078 1 0.91 1.09 .0079 1 0.91 1.04 .0080 1 0.91 1.11 .0081 1 0.91 1.08 .0082 1 0.91 1.04 .0083 2 0.91 1.08 .0084 1 0.91 1.10 .0085 1 0.91 1.02 .0086 1 0.91 1.07 .0087 1 0.91 1.07 .0088 1 0.91 1.13 .0089 2 0.91 1.16 .0090 1 0.91 1.04 .0091 1 0.91 1.08 .0092 1 0.91 1.12 .0093 1 0.91 1.11 .0094 1 0.91 1.09 .0095 1 0.91 1.13 .0096 1 0.91 1.22 .0097 2 0.91 1.13 .0098 1 0.91 1.13 .0099 1 0.91 1.13 .0100 1 0.91 1.15 .0101 1 0.91 1.08 .0102 1 0.91 1.25 .0103 1 0.91 1.19 .0104 1 0.91 1.22 .0105 1 0.91 1.18 .0106 1 0.91 1.29 .0107 1 0.91 1.26 .0108 1 0.91 1.12 .0109 1 0.91 1.23 .0110 1 0.91 1.19 .0111 1 0.91 1.20 .0112 1 0.91 1.20 .0113 1 0.91 1.25 .0114 1 0.91 1.35 .0115 1 0.91 1.21 .0116 1 0.91 1.27 .0117 2 0.91 1.23 .0118 1 0.91 1.18 .0119 1 0.91 1.31 .0120 1 0.91 1.18 .0121 2 0.91 1.36 .0122 1 0.91 1.58 .0123 1 0.91 1.15 .0124 1 0.91 1.27 .0125 1 0.91 1.32 .0126 1 0.91 1.18 .0127 1 0.91 1.21 .0128 1 0.91 1.26 .0129 1 0.91 1.18 .0130 1 0.91 1.35 .0131 1 0.91 1.28 .0132 1 0.91 1.30 .0133 1 0.91 1.23 .0134 1 0.91 1.17 .0135 1 0.91 1.23 .0136 1 0.91 1.34 .0137 1 0.91 1.19 .0138 1 0.91 1.26 .0139 1 0.91 1.23 .0140 1 0.91 1.19 .0141 1 0.91 1.24 .0142 2 0.91 1.37 .0143 1 0.91 1.22 .0144 1 0.91 1.30 .0145 1 0.91 1.20 .0146 1 0.91 1.26 .0147 1 0.91 1.24 .0148 1 0.91 1.30 .0149 1 0.91 1.35 .0150 1 0.91 1.25 .0151 1 0.91 1.29 .0152 1 0.91 1.27 .0153 1 0.91 1.23 .0154 1 0.91 1.24 .0155 1 0.91 1.30 .0156 1 0.91 1.23 .0157 1 0.91 1.30 .0158 1 0.91 1.23 .0159 1 0.91 1.30 .0160 1 0.91 1.23 .0161 1 0.91 1.23 .0162 1 0.91 1.38 .0163 1 0.91 1.17 .0164 1 0.91 1.31 .0165 2 0.91 1.34 .0166 3 0.91 1.43 .0167 1 0.91 1.29 .0168 1 0.91 1.25 .0169 1 0.91 1.25 .0170 1 0.91 1.23 .0171 1 0.91 1.22 .0172 1 0.91 1.20 .0173 1 0.91 1.19 .0174 1 0.91 1.15 .0175 1 0.91 1.36 .0176 1 0.91 1.24 .0177 1 0.91 1.26 .0178 1 0.91 1.23 .0179 2 0.91 1.36 .0180 1 0.91 1.23 .0181 1 0.91 1.24 .0182 1 0.91 1.19 .0183 1 0.91 1.24 .0184 1 0.91 1.19 .0185 1 0.91 1.24 .0186 1 0.91 1.21 .0187 1 0.91 1.22 .0188 1 0.91 1.21 .0189 1 0.91 1.23 .0190 1 0.91 1.22 .0191 1 0.91 1.29 .0192 1 0.91 1.34 .0193 1 0.91 1.24 .0194 1 0.91 1.18 .0195 1 0.91 1.31 .0196 1 0.91 1.25 .0197 1 0.91 1.22 .0198 1 0.91 1.30 .0199 1 0.91 1.19 .0200 1 0.91 1.20 .0201 1 0.91 1.46 .0202 2 0.91 1.20 .0203 1 0.91 1.27 .0204 1 0.91 1.25 .0205 1 0.91 1.27 .0206 1 0.91 1.22 .0207 1 0.91 1.25 .0208 1 0.91 1.34 .0209 1 0.91 1.27 .0210 1 0.91 1.22 .0211 1 0.91 1.29 .0212 1 0.91 1.15 .0213 1 0.91 1.22 .0214 1 0.91 1.29 .0215 1 0.91 1.29 .0216 1 0.91 1.16 .0217 1 0.91 1.27 .0218 1 0.91 1.18 .0219 1 0.91 1.22 .0220 1 0.91 1.24 .0221 1 0.91 1.20 .0222 1 0.91 1.21 .0223 1 0.91 1.21 .0224 1 0.91 1.20 .0225 1 0.91 1.31 .0226 1 0.91 1.26 .0227 1 0.91 1.24 .0228 1 0.91 1.27 .0229 1 0.91 1.23 .0230 1 0.91 1.23 .0231 1 0.91 1.20 .0232 1 0.91 1.23 .0233 1 0.91 1.25 .0234 1 0.91 1.37 .0235 3 0.91 1.26 .0236 3 0.91 1.30 .0237 1 0.91 1.27 .0238 1 0.91 1.29 .0239 2 0.91 1.18 .0240 2 0.91 1.34 .0241 3 0.91 1.24 .0242 2 0.91 1.31 .0243 3 0.91 1.35 .0244 2 0.90 1.57 .0245 2 0.90 1.37 .0246 1 0.90 1.33 .0247 1 0.90 1.22 .0248 2 0.90 1.31 .0249 1 0.90 1.20 .0250 1 0.90 1.26 .0251 1 0.90 1.35 .0252 2 0.90 1.43 .0253 2 0.90 1.63 .0254 1 0.90 1.28 .0255 1 0.90 1.29 .0256 1 0.90 1.29 .0257 1 0.90 1.30 .0258 1 0.90 1.26 .0259 1 0.90 1.29 .0260 1 0.90 1.27 .0261 1 0.90 1.27 .0262 1 0.90 1.34 .0263 1 0.90 1.28 .0264 1 0.90 1.28 .0265 1 0.90 1.28 .0266 1 0.90 1.30 .0267 1 0.90 1.28 .0268 1 0.90 1.28 .0269 1 0.90 1.29 .0270 1 0.90 1.37 .0271 1 0.90 1.28 .0272 1 0.90 1.31 .0273 1 0.90 1.33 .0274 1 0.90 1.50 .0275 2 0.90 1.65 .0276 1 0.90 1.52 .0277 1 0.90 1.29 .0278 1 0.90 1.32 .0279 1 0.90 1.29 .0280 1 0.90 1.27 .0281 1 0.90 1.39 .0282 1 0.90 1.34 .0283 1 0.90 1.35 .0284 1 0.90 1.27 .0285 1 0.90 1.34 .0286 1 0.90 1.32 .0287 1 0.90 1.34 .0288 1 0.90 1.40 .0289 1 0.90 1.38 .0290 2 0.90 1.45 .0291 1 0.90 1.38 .0292 1 0.90 1.46 .0293 1 0.90 1.40 .0294 1 0.90 1.33 .0295 1 0.90 1.31 .0296 2 0.90 1.43 .0297 1 0.90 1.43 .0298 1 0.90 1.44 .0299 1 0.90 1.43 .0300 1 0.90 1.38 .0301 1 0.90 1.36 .0302 1 0.90 1.46 .0303 1 0.90 1.61 .0304 3 0.90 1.46 .0305 2 0.90 1.84 .0306 1 0.90 1.50 .0307 1 0.90 1.47 .0308 1 0.90 1.38 .0309 1 0.90 1.50 .0310 1 0.90 1.48 .0311 1 0.90 1.60 .0312 1 0.90 1.50 .0313 1 0.90 1.48 .0314 1 0.90 1.56 .0315 1 0.90 1.61 .0316 1 0.90 1.60 .0317 1 0.90 1.49 .0318 1 0.90 1.55 .0319 1 0.90 1.62 .0320 1 0.90 1.56 .0321 1 0.90 1.74 .0322 1 0.90 1.57 .0323 1 0.90 1.67 .0324 1 0.90 1.67 .0325 1 0.90 1.64 .0326 1 0.90 1.53 .0327 1 0.90 1.63 .0328 1 0.90 1.66 .0329 1 0.90 1.59 .0330 1 0.90 1.62 .0331 1 0.90 1.73 .0332 1 0.90 1.72 .0333 1 0.90 1.59 .0334 1 0.90 1.69 .0335 1 0.90 1.67 .0336 1 0.90 1.63 .0337 1 0.90 1.65 .0338 1 0.90 1.73 .0339 1 0.90 1.68 .0340 1 0.90 1.71 .0341 1 0.90 1.79 .0342 2 0.90 1.86 .0343 2 0.90 1.94 .0344 1 0.90 1.71 .0345 1 0.90 1.81 .0346 1 0.90 1.90 .0347 1 0.90 1.90 .0348 1 0.90 1.93 .0349 1 0.90 1.93 .0350 1 0.90 2.12 .0351 1 0.90 1.94 .0352 1 0.90 1.88 .0353 1 0.90 1.96 .0354 2 0.90 1.90 .0355 1 0.90 1.96 .0356 1 0.90 2.02 .0357 1 0.90 2.03 .0358 1 0.90 2.06 .0359 1 0.90 2.00 .0360 1 0.90 2.06 .0361 1 0.90 2.08 .0362 1 0.90 2.04 .0363 1 0.90 2.06 .0364 1 0.90 2.08 .0365 1 0.90 2.01 .0366 1 0.90 2.09 .0367 1 0.90 2.15 .0368 1 0.90 2.08 .0369 1 0.90 2.12 .0370 1 0.90 2.05 .0371 1 0.90 2.17 .0372 1 0.90 2.05 .0373 1 0.90 2.11 .0374 1 0.90 2.12 .0375 1 0.90 2.12 .0376 1 0.90 2.21 .0377 1 0.90 2.12 .0378 1 0.90 2.20 .0379 1 0.90 2.11 .0380 1 0.90 2.33 .0381 1 0.90 2.23 .0382 1 0.90 2.24 .0383 1 0.90 2.25 .0384 1 0.90 2.35 .0385 1 0.90 2.35 .0386 1 0.90 2.42 .0387 1 0.90 2.55 .0388 1 0.90 2.40 .0389 1 0.90 2.31 .0390 1 0.90 2.36 .0391 1 0.90 2.27 .0392 1 0.90 2.38 .0393 1 0.90 2.42 .0394 1 0.90 2.44 .0395 1 0.90 2.54 .0396 1 0.90 2.46 .0397 1 0.90 2.44 .0398 1 0.90 2.45 .0399 1 0.90 2.64 .0400 1 0.90 2.48 .0401 1 0.90 2.51 .0402 1 0.90 2.33 .0403 1 0.90 2.34 .0404 1 0.90 2.32 .0405 1 0.90 2.53 .0406 1 0.90 2.40 .0407 1 0.90 2.30 .0408 1 0.90 2.31 .0409 1 0.90 2.40 .0410 1 0.90 2.74 .0411 1 0.90 2.40 .0412 1 0.90 2.41 .0413 1 0.90 2.37 .0414 1 0.90 2.38 .0415 1 0.90 2.39 .0416 1 0.90 2.35 .0417 1 0.90 2.39 .0418 1 0.90 2.37 .0419 1 0.90 2.39 .0420 1 0.90 2.49 .0421 1 0.90 2.45 .0422 1 0.90 2.42 .0423 1 0.90 2.48 .0424 1 0.90 2.54 .0425 1 0.90 2.40 .0426 1 0.90 2.57 .0427 1 0.90 2.52 .0428 1 0.90 2.47 .0429 1 0.90 2.55 .0430 2 0.90 2.47 .0431 1 0.90 2.50 .0432 1 0.90 2.56 .0433 1 0.90 2.44 .0434 1 0.90 2.64 .0435 1 0.90 2.54 .0436 1 0.90 2.55 .0437 1 0.90 2.56 .0438 1 0.90 2.62 .0439 1 0.90 2.68 .0440 1 0.90 2.52 .0441 1 0.90 2.77 .0442 1 0.90 2.59 .0443 1 0.90 2.61 .0444 1 0.90 2.57 .0445 1 0.90 2.62 .0446 1 0.90 2.65 .0447 1 0.90 2.52 .0448 1 0.90 2.50 .0449 1 0.90 2.54 .0450 1 0.90 2.65 .0451 1 0.90 2.57 .0452 1 0.90 2.57 .0453 1 0.90 2.45 .0454 1 0.90 2.61 .0455 1 0.90 2.60 .0456 1 0.90 2.53 .0457 1 0.90 2.52 .0458 1 0.90 2.69 .0459 1 0.90 2.56 .0460 1 0.90 2.58 .0461 1 0.90 2.63 .0462 1 0.90 2.38 .0463 1 0.90 2.50 .0464 1 0.90 2.59 .0465 1 0.90 2.69 .0466 1 0.90 2.54 .0467 1 0.90 2.63 .0468 1 0.90 2.69 .0469 1 0.90 2.68 .0470 1 0.90 2.65 .0471 1 0.90 2.68 .0472 1 0.90 2.70 .0473 1 0.90 2.67 .0474 1 0.90 2.75 .0475 1 0.90 2.79 .0476 1 0.90 2.63 .0477 1 0.90 2.57 .0478 1 0.90 2.58 .0479 1 0.90 3.04 .0480 1 0.90 2.72 .0481 1 0.90 2.69 .0482 1 0.90 2.67 .0483 1 0.90 2.63 .0484 1 0.90 2.78 .0485 1 0.90 2.65 .0486 1 0.90 2.77 .0487 1 0.90 2.78 .0488 1 0.90 2.65 .0489 1 0.90 2.91 .0490 1 0.90 2.86 .0491 1 0.90 2.63 .0492 1 0.90 2.69 .0493 1 0.90 2.50 .0494 1 0.90 2.62 .0495 1 0.90 2.49 .0496 1 0.90 2.54 .0497 1 0.90 2.71 .0498 1 0.90 2.54 .0499 1 0.90 2.52 .0500 3 0.90 2.40 .0501 2 0.90 2.49 .0502 2 0.90 2.87 .0503 1 0.90 2.57 .0504 1 0.90 2.47 .0505 1 0.90 2.41 .0506 1 0.90 2.61 .0507 1 0.90 2.42 .0508 1 0.90 2.48 .0509 1 0.90 2.58 .0510 1 0.90 2.67 .0511 1 0.90 2.42 .0512 1 0.90 2.57 .0513 1 0.90 2.62 .0514 1 0.90 2.54 .0515 1 0.90 2.53 .0516 1 0.90 2.58 .0517 1 0.90 2.56 .0518 1 0.90 2.63 .0519 1 0.90 2.59 .0520 1 0.90 2.64 .0521 1 0.90 2.50 .0522 1 0.90 2.68 .0523 1 0.90 2.56 .0524 1 0.90 2.66 .0525 1 0.90 2.67 .0526 1 0.90 2.56 .0527 1 0.90 2.59 .0528 1 0.90 2.58 .0529 1 0.90 2.56 .0530 1 0.90 2.80 .0531 1 0.90 2.56 .0532 1 0.90 2.59 .0533 1 0.90 2.47 .0534 1 0.90 2.48 .0535 1 0.90 2.46 .0536 1 0.90 2.39 .0537 1 0.90 2.52 .0538 1 0.90 2.48 .0539 1 0.90 2.46 .0540 1 0.90 2.54 .0541 1 0.90 2.48 .0542 1 0.90 2.61 .0543 1 0.90 2.36 .0544 1 0.90 2.52 .0545 1 0.90 2.53 .0546 1 0.90 2.50 .0547 1 0.90 2.39 .0548 1 0.90 2.52 .0549 1 0.90 2.45 .0550 1 0.90 2.45 .0551 1 0.90 2.38 .0552 1 0.90 2.45 .0553 1 0.90 2.32 .0554 1 0.90 2.44 .0555 1 0.90 2.34 .0556 1 0.90 2.39 .0557 1 0.90 2.50 .0558 1 0.90 2.44 .0559 1 0.90 2.51 .0560 1 0.90 2.48 .0561 2 0.90 2.58 .0562 1 0.90 2.94 .0563 1 0.90 2.35 .0564 1 0.90 2.38 .0565 1 0.90 2.42 .0566 1 0.90 2.54 .0567 1 0.90 2.39 .0568 1 0.90 2.52 .0569 1 0.90 2.52 .0570 1 0.90 2.36 .0571 1 0.90 2.44 .0572 1 0.90 2.57 .0573 1 0.90 2.38 .0574 1 0.90 2.39 .0575 1 0.90 2.32 .0576 1 0.90 2.35 .0577 1 0.90 2.34 .0578 1 0.90 2.41 .0579 1 0.90 2.36 .0580 1 0.90 2.27 .0581 1 0.90 2.26 .0582 1 0.90 2.17 .0583 1 0.90 2.31 .0584 1 0.90 2.24 .0585 1 0.90 2.27 .0586 1 0.90 2.37 .0587 1 0.90 2.27 .0588 1 0.90 2.62 .0589 2 0.90 2.35 .0590 1 0.90 2.26 .0591 1 0.90 2.40 .0592 1 0.90 2.25 .0593 1 0.90 2.21 .0594 1 0.90 2.30 .0595 1 0.90 2.29 .0596 1 0.90 2.54 .0597 1 0.90 2.30 .0598 1 0.90 2.26 .0599 1 0.90 2.37 .0600 1 0.90 2.29 .0601 1 0.90 2.30 .0602 1 0.90 2.15 .0603 1 0.90 2.32 .0604 1 0.90 2.29 .0605 1 0.90 2.48 .0606 1 0.90 2.30 .0607 1 0.90 2.36 .0608 1 0.90 2.09 .0609 1 0.90 2.23 .0610 1 0.90 2.66 .0611 1 0.90 2.24 .0612 1 0.90 2.25 .0613 1 0.90 2.51 .0614 1 0.90 2.40 .0615 1 0.90 2.17 .0616 1 0.90 2.26 .0617 1 0.90 2.37 .0618 1 0.90 2.09 .0619 1 0.90 2.09 .0620 1 0.90 2.25 .0621 1 0.90 2.29 .0622 1 0.90 2.25 .0623 1 0.90 2.21 .0624 1 0.90 2.14 .0625 1 0.90 2.15 .0626 1 0.90 2.38 .0627 1 0.90 2.39 .0628 1 0.90 2.40 .0629 1 0.90 2.27 .0630 1 0.90 2.44 .0631 1 0.90 2.35 .0632 1 0.90 2.81 .0633 1 0.90 2.28 .0634 1 0.90 2.24 .0635 1 0.90 2.26 .0636 1 0.90 2.18 .0637 1 0.90 2.24 .0638 1 0.90 2.29 .0639 1 0.90 2.28 .0640 1 0.90 2.26 .0641 1 0.90 2.25 .0642 1 0.90 2.24 .0643 1 0.90 2.25 .0644 1 0.90 2.18 .0645 1 0.90 2.28 .0646 1 0.90 2.20 .0647 1 0.90 2.13 .0648 1 0.90 2.43 .0649 2 0.90 2.20 .0650 2 0.90 2.29 .0651 1 0.90 2.09 .0652 1 0.90 2.17 .0653 1 0.90 2.27 .0654 1 0.90 2.18 .0655 1 0.90 2.24 .0656 1 0.90 2.28 .0657 1 0.90 2.21 .0658 1 0.90 2.31 .0659 1 0.90 2.24 .0660 1 0.90 2.13 .0661 1 0.90 2.16 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0.90 2.99 .1939 4 0.90 3.14 .1940 1 0.90 3.13 .1941 1 0.90 2.84 .1942 1 0.90 2.72 .1943 1 0.90 2.78 .1944 1 0.90 2.85 .1945 2 0.90 2.68 .1946 1 0.90 2.55 .1947 1 0.90 2.85 .1948 1 0.90 3.03 .1949 1 0.90 2.71 .1950 1 0.90 2.76 .1951 1 0.90 2.66 .1952 1 0.90 2.65 .1953 1 0.90 2.75 .1954 1 0.90 2.58 .1955 1 0.90 2.59 .1956 1 0.90 2.60 .1957 1 0.90 2.57 .1958 1 0.90 2.77 .1959 1 0.90 2.72 .1960 1 0.90 2.64 .1961 1 0.90 2.60 .1962 1 0.90 2.62 .1963 1 0.90 2.64 .1964 1 0.90 2.68 .1965 1 0.90 2.56 .1966 1 0.90 2.59 .1967 1 0.90 2.53 .1968 1 0.90 2.63 .1969 1 0.90 2.42 .1970 1 0.90 2.56 .1971 1 0.90 2.50 .1972 1 0.90 2.65 .1973 1 0.90 2.54 .1974 1 0.90 2.75 .1975 1 0.90 2.66 .1976 3 0.90 2.69 .1977 1 0.90 2.50 .1978 1 0.90 2.95 .1979 2 0.90 2.75 .1980 2 0.90 2.54 .1981 1 0.90 2.67 .1982 1 0.90 2.51 .1983 1 0.90 2.57 .1984 1 0.90 2.48 .1985 1 0.90 2.46 .1986 1 0.90 2.48 .1987 1 0.90 2.34 .1988 1 0.90 2.50 .1989 1 0.90 2.56 .1990 1 0.90 2.44 .1991 1 0.90 2.53 .1992 1 0.90 2.53 .1993 1 0.90 2.35 .1994 1 0.90 2.42 .1995 1 0.90 2.22 .1996 1 0.90 2.56 .1997 1 0.90 2.35 .1998 1 0.90 2.44 .1999 1 0.90 2.44 .2000 1 0.90 2.39 .2001 1 0.90 2.33 .2002 1 0.90 2.50 .2003 2 0.90 2.42 .2004 1 0.90 2.52 .2005 1 0.91 2.38 .2006 3 0.91 2.36 .2007 2 0.91 2.52 .2008 1 0.91 2.32 .2009 1 0.91 2.56 .2010 1 0.91 2.33 .2011 1 0.91 2.33 .2012 1 0.91 2.29 .2013 1 0.91 2.38 .2014 1 0.91 2.39 .2015 2 0.91 2.27 .2016 1 0.91 2.48 .2017 1 0.91 2.26 .2018 1 0.91 2.21 .2019 3 0.91 2.48 .2020 3 0.91 2.84 .2021 2 0.91 2.44 .2022 1 0.91 2.32 .2023 1 0.91 2.18 .2024 1 0.91 2.25 .2025 1 0.91 2.22 .2026 2 0.91 2.35 .2027 1 0.91 2.14 .2028 1 0.91 2.09 .2029 1 0.91 2.24 .2030 1 0.91 2.21 .2031 1 0.91 2.14 .2032 1 0.91 2.31 .2033 1 0.91 2.18 .2034 1 0.91 2.11 .2035 1 0.91 2.24 .2036 1 0.91 2.38 .2037 1 0.91 2.20 .2038 2 0.91 2.34 .2039 2 0.91 2.07 .2040 2 0.91 2.22 .2041 1 0.91 2.17 .2042 1 0.91 2.14 .2043 1 0.91 2.16 .2044 1 0.91 2.19 .2045 1 0.91 2.11 .2046 1 0.91 2.07 .2047 1 0.91 2.15 EXTRACT_IMAGE: b2: masked 173 pixels SPCALIB: b2: First extraction chi^2 1.03766 5.57655 SPCALIB: b2: Second extraction chi^2 1.01613 4.32694 SUPERFLAT: b2: Creating superflat from 314 fibers highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318highest breakpoint does not cover highest x value, changing .0319 FIBERFLAT: b2: Number of fiberflat points LE 0 = 9099 SPCALIB: b2: Create fiberflats for flat # 2 of 2 SPCALIB: b2: Flat sdR-b2-00034591.fit paired with arc sdR-b2-00034592.fit SPCALIB: b2: Reading flat sdR-b2-00034591.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.87698 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1234.49 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1215. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.39232 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1205.24 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1188. DN is 0 SDSSPROC: b2: Number of bleading columns = 1 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 1 0.92 1.15 .0001 1 0.92 1.15 .0002 1 0.92 1.19 .0003 1 0.92 1.14 .0004 1 0.91 1.09 .0005 1 0.91 1.06 .0006 1 0.91 1.09 .0007 1 0.91 1.15 .0008 1 0.91 1.15 .0009 1 0.91 1.12 .0010 1 0.91 1.12 .0011 1 0.91 1.08 .0012 1 0.91 1.08 .0013 1 0.91 1.09 .0014 1 0.91 1.06 .0015 1 0.91 1.11 .0016 1 0.91 1.17 .0017 1 0.91 1.08 .0018 1 0.91 1.11 .0019 1 0.91 1.13 .0020 1 0.91 1.18 .0021 1 0.91 1.12 .0022 1 0.91 1.06 .0023 1 0.91 1.08 .0024 1 0.91 1.08 .0025 2 0.91 1.09 .0026 2 0.91 1.10 .0027 1 0.91 1.09 .0028 1 0.91 1.12 .0029 1 0.91 1.09 .0030 2 0.91 1.33 .0031 2 0.91 1.15 .0032 1 0.91 1.11 .0033 1 0.91 1.14 .0034 1 0.91 1.11 .0035 1 0.91 1.14 .0036 1 0.91 1.20 .0037 1 0.91 1.08 .0038 1 0.91 1.09 .0039 1 0.91 1.13 .0040 1 0.91 1.21 .0041 1 0.91 1.17 .0042 1 0.91 1.05 .0043 1 0.91 1.08 .0044 2 0.91 1.09 .0045 1 0.91 1.06 .0046 1 0.91 1.05 .0047 1 0.91 1.14 .0048 1 0.91 1.20 .0049 1 0.91 1.04 .0050 1 0.91 1.11 .0051 1 0.91 1.10 .0052 1 0.91 1.13 .0053 1 0.91 1.12 .0054 1 0.91 0.98 .0055 1 0.91 1.15 .0056 1 0.91 1.08 .0057 1 0.91 1.11 .0058 1 0.91 1.07 .0059 1 0.91 1.11 .0060 1 0.91 1.13 .0061 1 0.91 1.10 .0062 1 0.91 1.12 .0063 2 0.91 1.14 .0064 1 0.91 1.14 .0065 1 0.91 1.11 .0066 1 0.91 1.12 .0067 1 0.91 1.14 .0068 1 0.91 1.07 .0069 1 0.91 1.09 .0070 1 0.91 1.16 .0071 1 0.91 1.09 .0072 1 0.91 1.03 .0073 1 0.91 1.11 .0074 1 0.91 1.12 .0075 1 0.91 1.15 .0076 1 0.91 1.18 .0077 1 0.91 1.06 .0078 1 0.91 1.19 .0079 1 0.91 1.22 .0080 1 0.91 1.14 .0081 1 0.91 1.12 .0082 1 0.91 1.11 .0083 1 0.91 1.08 .0084 1 0.91 1.18 .0085 1 0.91 1.29 .0086 1 0.91 1.17 .0087 1 0.91 1.21 .0088 1 0.91 1.23 .0089 1 0.91 1.27 .0090 1 0.91 1.22 .0091 1 0.91 1.28 .0092 1 0.91 1.33 .0093 2 0.91 1.22 .0094 1 0.91 1.25 .0095 1 0.91 1.29 .0096 1 0.91 1.20 .0097 1 0.91 1.21 .0098 1 0.91 1.20 .0099 1 0.91 1.26 .0100 1 0.91 1.34 .0101 1 0.91 1.21 .0102 1 0.91 1.29 .0103 1 0.91 1.30 .0104 1 0.91 1.28 .0105 1 0.91 1.27 .0106 1 0.91 1.24 .0107 1 0.91 1.30 .0108 1 0.91 1.27 .0109 1 0.91 1.21 .0110 1 0.91 1.25 .0111 1 0.91 1.27 .0112 1 0.91 1.29 .0113 1 0.91 1.28 .0114 1 0.91 1.24 .0115 1 0.91 1.20 .0116 1 0.91 1.25 .0117 1 0.91 1.32 .0118 1 0.91 1.25 .0119 1 0.91 1.30 .0120 1 0.91 1.31 .0121 1 0.91 1.24 .0122 1 0.91 1.22 .0123 1 0.91 1.25 .0124 1 0.91 1.24 .0125 1 0.91 1.19 .0126 2 0.91 1.24 .0127 1 0.91 1.25 .0128 1 0.91 1.29 .0129 1 0.91 1.17 .0130 1 0.91 1.23 .0131 2 0.91 1.30 .0132 1 0.91 1.21 .0133 1 0.91 1.20 .0134 1 0.91 1.28 .0135 1 0.91 1.23 .0136 1 0.91 1.24 .0137 2 0.91 1.21 .0138 1 0.91 1.24 .0139 1 0.91 1.29 .0140 1 0.91 1.24 .0141 1 0.91 1.18 .0142 1 0.91 1.24 .0143 2 0.91 1.20 .0144 1 0.91 1.27 .0145 1 0.91 1.21 .0146 1 0.91 1.27 .0147 1 0.91 1.26 .0148 1 0.91 1.12 .0149 1 0.91 1.15 .0150 1 0.91 1.23 .0151 1 0.91 1.21 .0152 1 0.91 1.29 .0153 1 0.91 1.34 .0154 1 0.91 1.17 .0155 1 0.91 1.22 .0156 1 0.91 1.19 .0157 1 0.91 1.35 .0158 1 0.91 1.30 .0159 1 0.91 1.29 .0160 1 0.91 1.25 .0161 1 0.91 1.33 .0162 1 0.91 1.23 .0163 1 0.91 1.31 .0164 1 0.91 1.29 .0165 1 0.91 1.30 .0166 1 0.91 1.23 .0167 1 0.91 1.24 .0168 1 0.91 1.29 .0169 1 0.91 1.36 .0170 1 0.91 1.38 .0171 1 0.91 1.28 .0172 1 0.91 1.34 .0173 1 0.91 1.36 .0174 1 0.91 1.29 .0175 1 0.91 1.29 .0176 1 0.91 1.22 .0177 1 0.91 1.31 .0178 1 0.91 1.23 .0179 1 0.91 1.25 .0180 1 0.91 1.26 .0181 2 0.91 1.24 .0182 1 0.91 1.30 .0183 1 0.91 1.28 .0184 1 0.91 1.21 .0185 1 0.91 1.24 .0186 1 0.91 1.24 .0187 1 0.91 1.21 .0188 1 0.91 1.24 .0189 1 0.91 1.28 .0190 1 0.91 1.28 .0191 1 0.91 1.32 .0192 1 0.91 1.23 .0193 1 0.91 1.27 .0194 1 0.91 1.35 .0195 1 0.91 1.22 .0196 1 0.91 1.27 .0197 1 0.91 1.36 .0198 1 0.91 1.27 .0199 1 0.91 1.43 .0200 1 0.91 1.33 .0201 1 0.91 1.53 .0202 1 0.91 1.33 .0203 1 0.91 1.37 .0204 1 0.91 1.31 .0205 1 0.91 1.21 .0206 1 0.91 1.20 .0207 1 0.91 1.31 .0208 1 0.91 1.31 .0209 1 0.91 1.21 .0210 1 0.91 1.29 .0211 1 0.91 1.28 .0212 1 0.91 1.29 .0213 1 0.91 1.26 .0214 1 0.91 1.34 .0215 1 0.91 1.34 .0216 1 0.91 1.27 .0217 1 0.91 1.24 .0218 1 0.91 1.22 .0219 1 0.91 1.29 .0220 2 0.91 1.26 .0221 1 0.91 1.31 .0222 1 0.91 1.22 .0223 1 0.91 1.24 .0224 1 0.91 1.29 .0225 1 0.91 1.25 .0226 1 0.91 1.46 .0227 1 0.91 1.24 .0228 1 0.91 1.29 .0229 1 0.91 1.36 .0230 1 0.91 1.26 .0231 1 0.91 1.28 .0232 1 0.91 1.30 .0233 1 0.91 1.37 .0234 1 0.91 1.34 .0235 1 0.91 1.33 .0236 1 0.91 1.24 .0237 1 0.91 1.30 .0238 1 0.91 1.30 .0239 1 0.91 1.31 .0240 1 0.91 1.27 .0241 2 0.91 1.28 .0242 1 0.91 1.33 .0243 1 0.91 1.28 .0244 1 0.91 1.34 .0245 1 0.91 1.30 .0246 1 0.91 1.32 .0247 1 0.91 1.30 .0248 1 0.91 1.32 .0249 1 0.91 1.22 .0250 1 0.91 1.31 .0251 1 0.91 1.34 .0252 1 0.91 1.24 .0253 1 0.91 1.43 .0254 1 0.91 1.32 .0255 1 0.91 1.29 .0256 1 0.91 1.24 .0257 1 0.91 1.23 .0258 1 0.91 1.35 .0259 1 0.91 1.42 .0260 1 0.91 1.29 .0261 1 0.91 1.37 .0262 1 0.91 1.40 .0263 1 0.91 1.33 .0264 1 0.91 1.39 .0265 1 0.91 1.44 .0266 1 0.91 1.33 .0267 1 0.91 1.34 .0268 1 0.91 1.27 .0269 1 0.91 1.36 .0270 1 0.91 1.40 .0271 1 0.91 1.37 .0272 1 0.91 1.37 .0273 1 0.91 1.31 .0274 1 0.91 1.38 .0275 1 0.91 1.35 .0276 1 0.91 1.37 .0277 1 0.91 1.32 .0278 1 0.91 1.26 .0279 1 0.91 1.42 .0280 1 0.91 1.38 .0281 1 0.91 1.47 .0282 1 0.91 1.39 .0283 1 0.91 1.41 .0284 1 0.91 1.45 .0285 1 0.91 1.44 .0286 1 0.91 1.43 .0287 1 0.91 1.47 .0288 1 0.91 1.41 .0289 1 0.91 1.46 .0290 1 0.91 1.42 .0291 1 0.91 1.48 .0292 1 0.91 1.49 .0293 1 0.91 1.54 .0294 1 0.91 1.35 .0295 1 0.91 1.51 .0296 1 0.91 1.39 .0297 1 0.91 1.49 .0298 1 0.91 1.35 .0299 1 0.91 1.51 .0300 1 0.91 1.43 .0301 1 0.91 1.59 .0302 1 0.91 1.53 .0303 1 0.91 1.43 .0304 1 0.91 1.62 .0305 1 0.91 1.56 .0306 1 0.91 1.57 .0307 1 0.91 1.55 .0308 1 0.91 1.55 .0309 1 0.91 1.51 .0310 1 0.91 1.64 .0311 1 0.91 1.57 .0312 1 0.91 1.73 .0313 1 0.91 1.60 .0314 1 0.91 1.61 .0315 1 0.91 1.65 .0316 1 0.91 1.78 .0317 1 0.91 1.67 .0318 1 0.91 1.67 .0319 1 0.91 1.67 .0320 1 0.91 1.70 .0321 1 0.91 1.71 .0322 1 0.91 1.73 .0323 1 0.91 1.70 .0324 1 0.91 1.81 .0325 1 0.91 1.71 .0326 1 0.91 1.71 .0327 1 0.91 1.78 .0328 1 0.91 1.76 .0329 1 0.91 1.76 .0330 1 0.91 1.77 .0331 1 0.91 1.77 .0332 1 0.91 1.80 .0333 1 0.91 1.80 .0334 1 0.91 1.85 .0335 1 0.91 1.77 .0336 1 0.91 1.90 .0337 1 0.91 1.73 .0338 1 0.91 1.84 .0339 1 0.91 1.73 .0340 1 0.91 1.85 .0341 2 0.91 2.00 .0342 1 0.90 1.95 .0343 1 0.90 1.88 .0344 1 0.90 1.86 .0345 1 0.90 1.90 .0346 1 0.90 2.06 .0347 1 0.90 1.88 .0348 1 0.90 1.87 .0349 1 0.90 1.93 .0350 1 0.90 1.98 .0351 1 0.90 2.13 .0352 1 0.90 2.05 .0353 1 0.90 2.09 .0354 1 0.90 2.13 .0355 1 0.90 2.04 .0356 1 0.90 2.03 .0357 1 0.90 2.02 .0358 1 0.90 2.10 .0359 1 0.90 2.11 .0360 1 0.90 2.09 .0361 1 0.90 2.12 .0362 1 0.90 2.01 .0363 1 0.90 2.00 .0364 3 0.90 2.16 .0365 3 0.90 2.13 .0366 1 0.90 2.15 .0367 1 0.90 2.04 .0368 1 0.90 2.12 .0369 1 0.90 2.18 .0370 1 0.90 2.10 .0371 1 0.90 2.13 .0372 1 0.90 2.16 .0373 1 0.90 2.14 .0374 1 0.90 2.24 .0375 1 0.90 2.29 .0376 1 0.90 2.22 .0377 1 0.90 2.28 .0378 1 0.90 2.24 .0379 1 0.90 2.29 .0380 1 0.90 2.29 .0381 1 0.90 2.15 .0382 1 0.90 2.35 .0383 1 0.90 2.39 .0384 1 0.90 2.37 .0385 1 0.90 2.40 .0386 1 0.90 2.33 .0387 1 0.90 2.38 .0388 1 0.90 2.36 .0389 1 0.90 2.39 .0390 1 0.90 2.35 .0391 1 0.90 2.31 .0392 1 0.90 2.33 .0393 1 0.90 2.42 .0394 1 0.90 2.45 .0395 1 0.90 2.46 .0396 1 0.90 2.54 .0397 1 0.90 2.45 .0398 1 0.90 2.51 .0399 1 0.90 2.49 .0400 1 0.90 2.54 .0401 1 0.90 2.59 .0402 1 0.90 2.58 .0403 1 0.90 2.48 .0404 1 0.90 2.38 .0405 1 0.90 2.54 .0406 1 0.90 2.35 .0407 1 0.90 2.55 .0408 1 0.90 2.43 .0409 1 0.90 2.54 .0410 1 0.90 2.42 .0411 1 0.90 2.44 .0412 1 0.90 2.53 .0413 1 0.90 2.40 .0414 1 0.90 2.44 .0415 1 0.90 2.45 .0416 1 0.90 2.53 .0417 1 0.90 2.46 .0418 1 0.90 2.45 .0419 1 0.90 2.50 .0420 1 0.90 2.43 .0421 1 0.90 2.39 .0422 1 0.90 2.61 .0423 1 0.90 2.46 .0424 1 0.90 2.62 .0425 1 0.90 2.56 .0426 1 0.90 2.45 .0427 2 0.90 2.61 .0428 1 0.90 2.71 .0429 2 0.90 2.59 .0430 1 0.90 2.51 .0431 1 0.90 2.55 .0432 1 0.90 2.46 .0433 1 0.90 2.55 .0434 1 0.90 2.58 .0435 1 0.90 2.63 .0436 1 0.90 2.50 .0437 1 0.90 2.83 .0438 1 0.90 2.60 .0439 1 0.90 2.70 .0440 1 0.90 2.63 .0441 1 0.90 2.74 .0442 1 0.90 2.83 .0443 1 0.90 2.70 .0444 1 0.90 2.61 .0445 1 0.90 2.50 .0446 1 0.90 2.63 .0447 1 0.90 2.52 .0448 1 0.90 2.61 .0449 1 0.90 2.52 .0450 1 0.90 2.50 .0451 1 0.90 2.64 .0452 1 0.90 2.51 .0453 1 0.90 2.63 .0454 1 0.90 2.62 .0455 1 0.90 2.57 .0456 1 0.90 2.64 .0457 1 0.90 2.72 .0458 1 0.90 2.60 .0459 2 0.90 2.90 .0460 1 0.90 2.78 .0461 1 0.90 2.68 .0462 1 0.90 2.48 .0463 1 0.90 2.66 .0464 1 0.90 2.75 .0465 1 0.90 2.65 .0466 1 0.90 2.61 .0467 1 0.90 2.62 .0468 1 0.90 2.56 .0469 1 0.90 2.74 .0470 1 0.90 2.61 .0471 1 0.90 2.66 .0472 1 0.90 2.69 .0473 1 0.90 2.82 .0474 1 0.90 2.85 .0475 1 0.90 2.83 .0476 2 0.90 2.77 .0477 2 0.90 2.97 .0478 2 0.90 3.00 .0479 1 0.90 2.85 .0480 1 0.90 3.05 .0481 1 0.90 2.84 .0482 1 0.90 2.93 .0483 1 0.90 2.92 .0484 1 0.90 2.81 .0485 1 0.90 2.95 .0486 1 0.90 3.10 .0487 1 0.90 3.04 .0488 1 0.90 2.77 .0489 1 0.90 2.92 .0490 1 0.90 2.61 .0491 1 0.90 2.72 .0492 1 0.90 2.73 .0493 1 0.90 2.62 .0494 2 0.90 2.60 .0495 1 0.90 2.75 .0496 1 0.90 2.56 .0497 1 0.90 2.56 .0498 1 0.90 2.67 .0499 1 0.90 2.76 .0500 1 0.90 2.59 .0501 1 0.90 2.69 .0502 1 0.90 2.79 .0503 1 0.90 2.55 .0504 1 0.90 2.65 .0505 1 0.90 2.58 .0506 1 0.90 2.69 .0507 1 0.90 2.66 .0508 1 0.90 2.70 .0509 1 0.90 2.59 .0510 1 0.90 2.56 .0511 1 0.90 2.60 .0512 1 0.90 2.64 .0513 1 0.90 2.70 .0514 1 0.90 2.55 .0515 1 0.90 2.76 .0516 1 0.90 3.07 .0517 1 0.90 2.68 .0518 1 0.90 2.62 .0519 1 0.90 2.78 .0520 1 0.90 2.78 .0521 1 0.90 2.66 .0522 1 0.90 2.83 .0523 1 0.90 2.66 .0524 1 0.90 2.82 .0525 1 0.90 2.82 .0526 1 0.90 2.81 .0527 1 0.90 2.70 .0528 1 0.90 2.74 .0529 1 0.90 2.71 .0530 1 0.90 2.74 .0531 1 0.90 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1 0.90 2.48 .0588 1 0.90 2.44 .0589 1 0.90 2.65 .0590 2 0.90 2.57 .0591 1 0.90 2.48 .0592 1 0.90 2.38 .0593 1 0.90 2.44 .0594 1 0.90 2.56 .0595 1 0.90 2.43 .0596 1 0.90 2.49 .0597 1 0.90 2.42 .0598 1 0.90 2.44 .0599 1 0.90 2.45 .0600 1 0.90 2.43 .0601 1 0.90 2.50 .0602 1 0.90 2.47 .0603 1 0.90 2.47 .0604 1 0.90 2.33 .0605 1 0.90 2.42 .0606 1 0.90 2.42 .0607 1 0.90 2.45 .0608 1 0.90 2.49 .0609 1 0.90 2.50 .0610 1 0.90 2.53 .0611 1 0.90 2.47 .0612 1 0.90 2.40 .0613 1 0.90 2.34 .0614 1 0.90 2.49 .0615 1 0.90 2.59 .0616 1 0.90 2.52 .0617 1 0.90 2.58 .0618 1 0.90 2.41 .0619 1 0.90 2.42 .0620 1 0.90 2.42 .0621 1 0.90 2.46 .0622 1 0.90 2.54 .0623 1 0.90 2.56 .0624 1 0.90 2.48 .0625 1 0.90 2.46 .0626 1 0.90 2.48 .0627 1 0.90 2.49 .0628 1 0.90 2.68 .0629 1 0.90 2.52 .0630 1 0.90 2.38 .0631 3 0.90 2.63 .0632 2 0.90 2.61 .0633 1 0.90 2.50 .0634 1 0.90 2.54 .0635 1 0.90 2.53 .0636 1 0.90 2.39 .0637 1 0.90 2.49 .0638 1 0.90 2.46 .0639 1 0.90 2.37 .0640 1 0.90 2.50 .0641 1 0.90 2.38 .0642 1 0.90 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1 0.90 2.48 .0699 1 0.90 2.49 .0700 1 0.90 2.59 .0701 1 0.90 2.73 .0702 1 0.90 2.54 .0703 1 0.90 2.52 .0704 1 0.90 2.54 .0705 1 0.90 2.71 .0706 1 0.90 2.70 .0707 1 0.90 2.62 .0708 1 0.90 2.82 .0709 1 0.90 2.88 .0710 1 0.90 2.69 .0711 2 0.90 2.77 .0712 2 0.90 2.67 .0713 1 0.90 2.57 .0714 1 0.90 2.64 .0715 1 0.90 2.69 .0716 1 0.90 2.69 .0717 1 0.90 2.83 .0718 1 0.90 2.71 .0719 1 0.90 2.77 .0720 1 0.90 2.68 .0721 1 0.90 2.69 .0722 1 0.90 2.74 .0723 1 0.90 2.63 .0724 1 0.90 3.45 .0725 1 0.90 2.66 .0726 1 0.90 2.96 .0727 1 0.90 2.71 .0728 2 0.90 2.74 .0729 1 0.90 2.69 .0730 1 0.90 2.79 .0731 1 0.90 2.67 .0732 1 0.90 2.68 .0733 1 0.90 2.73 .0734 1 0.90 2.66 .0735 1 0.90 2.68 .0736 1 0.90 2.60 .0737 1 0.90 2.65 .0738 1 0.90 2.57 .0739 1 0.90 2.72 .0740 1 0.90 2.80 .0741 1 0.90 2.60 .0742 1 0.90 2.65 .0743 1 0.90 2.62 .0744 1 0.90 2.56 .0745 1 0.90 2.74 .0746 1 0.90 2.71 .0747 1 0.90 2.75 .0748 1 0.90 2.69 .0749 1 0.90 2.66 .0750 1 0.90 2.91 .0751 1 0.90 2.79 .0752 1 0.90 2.77 .0753 1 0.90 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1 0.90 2.94 .0921 1 0.90 3.10 .0922 1 0.90 2.95 .0923 1 0.90 2.99 .0924 1 0.90 3.15 .0925 1 0.90 3.42 .0926 1 0.90 3.02 .0927 2 0.90 3.13 .0928 1 0.90 3.14 .0929 1 0.90 2.97 .0930 1 0.90 3.12 .0931 1 0.90 3.16 .0932 1 0.90 3.07 .0933 1 0.90 3.10 .0934 1 0.90 3.09 .0935 1 0.90 3.23 .0936 1 0.90 3.15 .0937 2 0.90 3.08 .0938 1 0.90 3.13 .0939 1 0.90 3.22 .0940 1 0.90 3.13 .0941 1 0.90 3.15 .0942 1 0.90 3.08 .0943 1 0.90 3.07 .0944 1 0.90 3.05 .0945 1 0.90 3.12 .0946 1 0.90 3.36 .0947 3 0.90 3.52 .0948 1 0.90 3.18 .0949 1 0.90 3.08 .0950 1 0.90 3.23 .0951 1 0.90 3.15 .0952 1 0.90 3.10 .0953 1 0.90 3.26 .0954 1 0.90 3.31 .0955 1 0.90 3.17 .0956 1 0.90 3.17 .0957 1 0.90 3.23 .0958 1 0.90 3.22 .0959 1 0.90 3.20 .0960 1 0.90 3.12 .0961 1 0.90 3.00 .0962 1 0.90 3.46 .0963 2 0.90 3.25 .0964 2 0.90 3.08 .0965 1 0.90 3.08 .0966 1 0.90 3.50 .0967 1 0.90 3.16 .0968 1 0.90 3.16 .0969 1 0.90 3.15 .0970 1 0.90 3.59 .0971 1 0.90 3.18 .0972 1 0.90 3.33 .0973 1 0.90 3.19 .0974 1 0.90 3.20 .0975 1 0.90 3.16 .0976 1 0.90 3.11 .0977 1 0.90 3.20 .0978 1 0.90 3.27 .0979 1 0.90 3.18 .0980 1 0.90 3.30 .0981 1 0.90 3.11 .0982 2 0.90 3.35 .0983 1 0.90 3.58 .0984 1 0.90 3.20 .0985 1 0.90 3.20 .0986 1 0.90 3.23 .0987 1 0.90 3.22 .0988 1 0.90 3.30 .0989 1 0.90 3.14 .0990 1 0.90 3.21 .0991 1 0.90 3.24 .0992 1 0.90 3.19 .0993 1 0.90 3.33 .0994 1 0.90 3.17 .0995 1 0.90 3.45 .0996 1 0.90 3.30 .0997 1 0.90 3.33 .0998 1 0.90 3.27 .0999 1 0.90 3.21 .1000 1 0.90 3.38 .1001 1 0.90 3.41 .1002 1 0.90 3.25 .1003 1 0.90 3.32 .1004 1 0.90 3.36 .1005 1 0.90 3.23 .1006 1 0.90 3.14 .1007 1 0.90 3.09 .1008 1 0.90 3.17 .1009 1 0.90 3.33 .1010 1 0.90 3.47 .1011 1 0.90 3.28 .1012 1 0.90 3.30 .1013 1 0.90 3.34 .1014 1 0.90 3.17 .1015 1 0.90 3.33 .1016 1 0.90 3.19 .1017 1 0.90 3.33 .1018 1 0.90 3.27 .1019 1 0.90 3.46 .1020 1 0.90 3.18 .1021 1 0.90 3.35 .1022 1 0.90 3.44 .1023 1 0.90 3.36 .1024 1 0.90 3.31 .1025 1 0.90 3.31 .1026 2 0.90 3.42 .1027 1 0.90 3.36 .1028 1 0.90 3.37 .1029 1 0.90 3.30 .1030 1 0.90 3.37 .1031 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2.68 .1975 1 0.90 2.85 .1976 1 0.90 2.76 .1977 1 0.90 2.75 .1978 1 0.90 2.84 .1979 1 0.90 2.71 .1980 1 0.90 2.76 .1981 1 0.90 2.64 .1982 1 0.90 2.82 .1983 1 0.90 2.78 .1984 1 0.90 2.55 .1985 1 0.90 2.63 .1986 1 0.90 2.69 .1987 1 0.90 2.65 .1988 1 0.90 3.29 .1989 1 0.90 2.61 .1990 1 0.90 2.80 .1991 1 0.90 2.77 .1992 1 0.90 2.70 .1993 1 0.90 2.49 .1994 1 0.90 2.53 .1995 1 0.90 2.60 .1996 1 0.90 2.58 .1997 1 0.90 2.49 .1998 1 0.90 2.62 .1999 1 0.90 2.46 .2000 1 0.90 2.55 .2001 1 0.90 2.54 .2002 1 0.90 2.56 .2003 1 0.90 2.48 .2004 2 0.90 2.60 .2005 2 0.90 2.57 .2006 1 0.90 2.51 .2007 1 0.90 2.49 .2008 1 0.90 2.50 .2009 1 0.90 2.49 .2010 1 0.90 2.58 .2011 1 0.90 2.67 .2012 1 0.90 2.41 .2013 1 0.90 2.38 .2014 1 0.90 2.50 .2015 1 0.90 2.61 .2016 1 0.90 2.46 .2017 1 0.90 2.43 .2018 1 0.90 2.50 .2019 1 0.90 2.49 .2020 1 0.90 2.26 .2021 1 0.90 2.40 .2022 1 0.90 2.45 .2023 1 0.90 2.31 .2024 1 0.90 2.52 .2025 1 0.91 2.31 .2026 1 0.91 2.36 .2027 1 0.91 2.26 .2028 1 0.91 2.19 .2029 1 0.91 2.23 .2030 2 0.91 2.49 .2031 2 0.91 2.57 .2032 1 0.91 2.38 .2033 1 0.91 2.48 .2034 1 0.91 2.32 .2035 1 0.91 2.16 .2036 2 0.91 2.39 .2037 1 0.91 2.30 .2038 2 0.91 2.21 .2039 1 0.91 2.24 .2040 1 0.91 2.24 .2041 1 0.91 2.24 .2042 1 0.91 2.22 .2043 1 0.91 2.21 .2044 1 0.91 2.29 .2045 1 0.91 2.36 .2046 1 0.91 2.30 .2047 1 0.91 2.25 EXTRACT_IMAGE: b2: masked 122 pixels DOSCATTER: b2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b2: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b2: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.01 0.06 Step 14 of 2080 0.62 64 0.02 0.11 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.02 0.10 Step 26 of 2080 0.61 64 0.02 0.10 Step 30 of 2080 0.61 64 0.02 0.10 Step 34 of 2080 0.61 64 0.02 0.11 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.02 0.11 Step 50 of 2080 0.61 64 0.02 0.10 Step 54 of 2080 0.61 64 0.02 0.10 Step 58 of 2080 0.61 64 0.02 0.10 Step 62 of 2080 0.61 64 0.02 0.10 Step 66 of 2080 0.61 64 0.02 0.10 Step 70 of 2080 0.61 64 0.02 0.10 Step 74 of 2080 0.61 64 0.02 0.10 Step 78 of 2080 0.61 64 0.02 0.10 Step 82 of 2080 0.61 64 0.03 0.11 Step 86 of 2080 0.61 64 0.03 0.11 Step 90 of 2080 0.61 64 0.03 0.11 Step 94 of 2080 0.61 64 0.03 0.11 Step 98 of 2080 0.60 64 0.03 0.11 Step 102 of 2080 0.60 64 0.03 0.11 Step 106 of 2080 0.60 64 0.03 0.11 Step 110 of 2080 0.60 64 0.03 0.11 Step 114 of 2080 0.60 64 0.02 0.11 Step 118 of 2080 0.60 64 0.03 0.11 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.03 0.11 Step 130 of 2080 0.60 64 0.03 0.11 Step 134 of 2080 0.60 64 0.03 0.11 Step 138 of 2080 0.60 64 0.03 0.11 Step 142 of 2080 0.60 64 0.03 0.11 Step 146 of 2080 0.60 64 0.03 0.12 Step 150 of 2080 0.60 64 0.03 0.12 Step 154 of 2080 0.60 64 0.03 0.12 Step 158 of 2080 0.60 64 0.03 0.12 Step 162 of 2080 0.60 64 0.03 0.11 Step 166 of 2080 0.60 64 0.03 0.12 Step 170 of 2080 0.60 64 0.03 0.11 Step 174 of 2080 0.60 64 0.03 0.11 Step 178 of 2080 0.59 64 0.03 0.12 Step 182 of 2080 0.59 64 0.03 0.12 Step 186 of 2080 0.59 64 0.03 0.12 Step 190 of 2080 0.59 64 0.04 0.13 Step 194 of 2080 0.59 64 0.04 0.13 Step 198 of 2080 0.59 64 0.03 0.13 Step 202 of 2080 0.59 64 0.03 0.12 Step 206 of 2080 0.59 64 0.04 0.12 Step 210 of 2080 0.59 64 0.03 0.12 Step 214 of 2080 0.59 64 0.04 0.13 Step 218 of 2080 0.59 64 0.03 0.12 Step 222 of 2080 0.59 64 0.03 0.11 Step 226 of 2080 0.59 64 0.03 0.11 Step 230 of 2080 0.59 64 0.03 0.12 Step 234 of 2080 0.59 64 0.03 0.11 Step 238 of 2080 0.59 64 0.03 0.12 Step 242 of 2080 0.59 64 0.03 0.11 Step 246 of 2080 0.59 64 0.03 0.12 Step 250 of 2080 0.59 64 0.03 0.11 Step 254 of 2080 0.59 64 0.03 0.11 Step 258 of 2080 0.58 64 0.03 0.11 Step 262 of 2080 0.58 64 0.03 0.12 Step 266 of 2080 0.58 64 0.03 0.11 Step 270 of 2080 0.58 64 0.03 0.12 Step 274 of 2080 0.58 64 0.03 0.11 Step 278 of 2080 0.58 64 0.03 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2080 0.54 64 0.03 0.12 Step 626 of 2080 0.54 64 0.03 0.12 Step 630 of 2080 0.54 64 0.02 0.12 Step 634 of 2080 0.54 64 0.03 0.12 Step 638 of 2080 0.54 64 0.03 0.13 Step 642 of 2080 0.54 64 0.03 0.13 Step 646 of 2080 0.54 64 0.03 0.13 Step 650 of 2080 0.54 64 0.03 0.12 Step 654 of 2080 0.54 64 0.03 0.11 Step 658 of 2080 0.54 64 0.02 0.11 Step 662 of 2080 0.54 64 0.03 0.11 Step 666 of 2080 0.53 64 0.03 0.11 Step 670 of 2080 0.53 64 0.03 0.12 Step 674 of 2080 0.53 64 0.03 0.11 Step 678 of 2080 0.53 64 0.03 0.13 Step 682 of 2080 0.53 64 0.03 0.12 Step 686 of 2080 0.53 64 0.03 0.11 Step 690 of 2080 0.53 64 0.03 0.11 Step 694 of 2080 0.53 64 0.03 0.11 Step 698 of 2080 0.53 64 0.03 0.12 Step 702 of 2080 0.53 64 0.03 0.11 Step 706 of 2080 0.53 64 0.03 0.12 Step 710 of 2080 0.53 64 0.03 0.11 Step 714 of 2080 0.53 64 0.03 0.11 Step 718 of 2080 0.53 64 0.03 0.11 Step 722 of 2080 0.53 64 0.03 0.11 Step 726 of 2080 0.53 64 0.03 0.13 Step 730 of 2080 0.53 64 0.03 0.13 Step 734 of 2080 0.53 64 0.03 0.13 Step 738 of 2080 0.53 64 0.02 0.12 Step 742 of 2080 0.53 64 0.02 0.11 Step 746 of 2080 0.52 64 0.02 0.12 Step 750 of 2080 0.52 64 0.02 0.11 Step 754 of 2080 0.52 64 0.02 0.11 Step 758 of 2080 0.52 64 0.02 0.12 Step 762 of 2080 0.52 64 0.02 0.11 Step 766 of 2080 0.52 64 0.02 0.11 Step 770 of 2080 0.52 64 0.03 0.12 Step 774 of 2080 0.52 64 0.03 0.12 Step 778 of 2080 0.52 64 0.03 0.12 Step 782 of 2080 0.52 64 0.03 0.11 Step 786 of 2080 0.52 64 0.03 0.11 Step 790 of 2080 0.52 64 0.03 0.12 Step 794 of 2080 0.52 64 0.03 0.11 Step 798 of 2080 0.52 64 0.03 0.12 Step 802 of 2080 0.52 64 0.03 0.12 Step 806 of 2080 0.52 64 0.03 0.12 Step 810 of 2080 0.52 64 0.03 0.12 Step 814 of 2080 0.52 64 0.03 0.12 Step 818 of 2080 0.52 64 0.03 0.12 Step 822 of 2080 0.52 64 0.03 0.12 Step 826 of 2080 0.52 64 0.03 0.13 Step 830 of 2080 0.51 64 0.03 0.11 Step 834 of 2080 0.51 64 0.03 0.11 Step 838 of 2080 0.51 64 0.03 0.11 Step 842 of 2080 0.51 64 0.03 0.11 Step 846 of 2080 0.51 64 0.03 0.12 Step 850 of 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0.12 Step 966 of 2080 0.50 64 0.04 0.12 Step 970 of 2080 0.50 64 0.03 0.11 Step 974 of 2080 0.50 64 0.04 0.12 Step 978 of 2080 0.50 64 0.03 0.12 Step 982 of 2080 0.50 64 0.03 0.12 Step 986 of 2080 0.50 64 0.02 0.11 Step 990 of 2080 0.50 64 0.02 0.11 Step 994 of 2080 0.50 64 0.02 0.11 Step 998 of 2080 0.50 64 0.02 0.11 Step 1002 of 2080 0.49 64 0.02 0.11 Step 1006 of 2080 0.49 64 0.02 0.12 Step 1010 of 2080 0.49 64 0.02 0.12 Step 1014 of 2080 0.49 64 0.02 0.11 Step 1018 of 2080 0.49 64 0.03 0.12 Step 1022 of 2080 0.49 64 0.02 0.11 Step 1026 of 2080 0.49 64 0.03 0.12 Step 1030 of 2080 0.49 64 0.03 0.13 Step 1034 of 2080 0.49 64 0.03 0.12 Step 1038 of 2080 0.49 64 0.03 0.13 Step 1042 of 2080 0.49 64 0.03 0.11 Step 1046 of 2080 0.49 64 0.03 0.12 Step 1050 of 2080 0.49 64 0.03 0.12 Step 1054 of 2080 0.49 64 0.03 0.12 Step 1058 of 2080 0.49 64 0.03 0.12 Step 1062 of 2080 0.49 64 0.03 0.12 Step 1066 of 2080 0.49 64 0.03 0.12 Step 1070 of 2080 0.49 64 0.04 0.13 Step 1074 of 2080 0.49 64 0.03 0.12 Step 1078 of 2080 0.49 64 0.03 0.12 Step 1082 of 2080 0.49 64 0.03 0.12 Step 1086 of 2080 0.48 64 0.02 0.11 Step 1090 of 2080 0.48 64 0.03 0.12 Step 1094 of 2080 0.48 64 0.03 0.11 Step 1098 of 2080 0.48 64 0.03 0.12 Step 1102 of 2080 0.48 64 0.03 0.13 Step 1106 of 2080 0.48 64 0.03 0.13 Step 1110 of 2080 0.48 64 0.03 0.12 Step 1114 of 2080 0.48 64 0.03 0.12 Step 1118 of 2080 0.48 64 0.03 0.12 Step 1122 of 2080 0.48 64 0.03 0.12 Step 1126 of 2080 0.48 64 0.03 0.12 Step 1130 of 2080 0.48 64 0.03 0.14 Step 1134 of 2080 0.48 64 0.03 0.15 Step 1138 of 2080 0.48 64 0.04 0.13 Step 1142 of 2080 0.48 64 0.03 0.13 Step 1146 of 2080 0.48 64 0.04 0.14 Step 1150 of 2080 0.48 64 0.04 0.12 Step 1154 of 2080 0.48 64 0.04 0.12 Step 1158 of 2080 0.48 64 0.04 0.13 Step 1162 of 2080 0.48 64 0.03 0.12 Step 1166 of 2080 0.48 64 0.04 0.12 Step 1170 of 2080 0.48 64 0.04 0.13 Step 1174 of 2080 0.47 64 0.04 0.14 Step 1178 of 2080 0.47 64 0.03 0.11 Step 1182 of 2080 0.47 64 0.03 0.12 Step 1186 of 2080 0.47 64 0.03 0.12 Step 1190 of 2080 0.47 64 0.03 0.13 Step 1194 of 2080 0.47 64 0.03 0.13 Step 1198 of 2080 0.47 64 0.04 0.14 Step 1202 of 2080 0.47 64 0.03 0.13 Step 1206 of 2080 0.47 64 0.03 0.12 Step 1210 of 2080 0.47 64 0.04 0.14 Step 1214 of 2080 0.47 64 0.04 0.13 Step 1218 of 2080 0.47 64 0.03 0.11 Step 1222 of 2080 0.47 64 0.03 0.13 Step 1226 of 2080 0.47 64 0.04 0.13 Step 1230 of 2080 0.47 64 0.03 0.13 Step 1234 of 2080 0.47 64 0.04 0.14 Step 1238 of 2080 0.47 64 0.04 0.15 Step 1242 of 2080 0.47 64 0.04 0.13 Step 1246 of 2080 0.47 64 0.05 0.13 Step 1250 of 2080 0.47 64 0.05 0.14 Step 1254 of 2080 0.47 64 0.04 0.13 Step 1258 of 2080 0.47 64 0.03 0.13 Step 1262 of 2080 0.46 64 0.03 0.12 Step 1266 of 2080 0.46 64 0.03 0.11 Step 1270 of 2080 0.46 64 0.03 0.13 Step 1274 of 2080 0.46 64 0.04 0.12 Step 1278 of 2080 0.46 64 0.04 0.13 Step 1282 of 2080 0.46 64 0.04 0.12 Step 1286 of 2080 0.46 64 0.04 0.13 Step 1290 of 2080 0.46 64 0.03 0.12 Step 1294 of 2080 0.46 64 0.03 0.12 Step 1298 of 2080 0.46 64 0.03 0.12 Step 1302 of 2080 0.46 64 0.03 0.12 Step 1306 of 2080 0.46 64 0.03 0.12 Step 1310 of 2080 0.46 64 0.03 0.12 Step 1314 of 2080 0.46 64 0.03 0.11 Step 1318 of 2080 0.46 64 0.03 0.11 Step 1322 of 2080 0.46 64 0.03 0.11 Step 1326 of 2080 0.46 64 0.03 0.11 Step 1330 of 2080 0.46 64 0.04 0.13 Step 1334 of 2080 0.46 64 0.03 0.13 Step 1338 of 2080 0.46 64 0.04 0.12 Step 1342 of 2080 0.46 64 0.04 0.13 Step 1346 of 2080 0.46 64 0.04 0.12 Step 1350 of 2080 0.45 64 0.03 0.12 Step 1354 of 2080 0.45 64 0.03 0.12 Step 1358 of 2080 0.45 64 0.03 0.13 Step 1362 of 2080 0.45 64 0.03 0.13 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.04 0.12 Step 1374 of 2080 0.45 64 0.04 0.12 Step 1378 of 2080 0.45 64 0.04 0.13 Step 1382 of 2080 0.45 64 0.03 0.12 Step 1386 of 2080 0.45 64 0.04 0.12 Step 1390 of 2080 0.45 64 0.03 0.12 Step 1394 of 2080 0.45 64 0.04 0.13 Step 1398 of 2080 0.45 64 0.03 0.12 Step 1402 of 2080 0.45 64 0.03 0.12 Step 1406 of 2080 0.45 64 0.04 0.12 Step 1410 of 2080 0.45 64 0.03 0.12 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.03 0.13 Step 1422 of 2080 0.45 64 0.03 0.12 Step 1426 of 2080 0.45 64 0.03 0.12 Step 1430 of 2080 0.45 64 0.03 0.12 Step 1434 of 2080 0.45 64 0.03 0.12 Step 1438 of 2080 0.44 64 0.03 0.12 Step 1442 of 2080 0.44 64 0.03 0.11 Step 1446 of 2080 0.44 64 0.03 0.12 Step 1450 of 2080 0.44 64 0.04 0.13 Step 1454 of 2080 0.44 64 0.04 0.12 Step 1458 of 2080 0.44 64 0.03 0.12 Step 1462 of 2080 0.44 64 0.04 0.12 Step 1466 of 2080 0.44 64 0.03 0.12 Step 1470 of 2080 0.44 64 0.03 0.12 Step 1474 of 2080 0.44 64 0.04 0.13 Step 1478 of 2080 0.44 64 0.03 0.12 Step 1482 of 2080 0.44 64 0.04 0.12 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 0.44 64 0.04 0.12 Step 1494 of 2080 0.44 64 0.04 0.13 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.03 0.11 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.03 0.11 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.03 0.12 Step 1522 of 2080 0.44 64 0.03 0.13 Step 1526 of 2080 0.44 64 0.03 0.12 Step 1530 of 2080 0.43 64 0.04 0.15 Step 1534 of 2080 0.43 64 0.03 0.12 Step 1538 of 2080 0.43 64 0.03 0.12 Step 1542 of 2080 0.43 64 0.03 0.13 Step 1546 of 2080 0.43 64 0.03 0.12 Step 1550 of 2080 0.43 64 0.03 0.11 Step 1554 of 2080 0.43 64 0.03 0.12 Step 1558 of 2080 0.43 64 0.03 0.12 Step 1562 of 2080 0.43 64 0.03 0.12 Step 1566 of 2080 0.43 64 0.03 0.12 Step 1570 of 2080 0.43 64 0.03 0.12 Step 1574 of 2080 0.43 64 0.04 0.14 Step 1578 of 2080 0.43 64 0.03 0.12 Step 1582 of 2080 0.43 64 0.03 0.12 Step 1586 of 2080 0.43 64 0.03 0.13 Step 1590 of 2080 0.43 64 0.03 0.12 Step 1594 of 2080 0.43 64 0.03 0.11 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.12 Step 1610 of 2080 0.43 64 0.03 0.12 Step 1614 of 2080 0.43 64 0.03 0.11 Step 1618 of 2080 0.43 64 0.03 0.13 Step 1622 of 2080 0.42 64 0.03 0.13 Step 1626 of 2080 0.42 64 0.03 0.11 Step 1630 of 2080 0.42 64 0.03 0.12 Step 1634 of 2080 0.42 64 0.03 0.11 Step 1638 of 2080 0.42 64 0.03 0.11 Step 1642 of 2080 0.42 64 0.03 0.11 Step 1646 of 2080 0.42 64 0.03 0.12 Step 1650 of 2080 0.42 64 0.03 0.11 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.03 0.11 Step 1674 of 2080 0.42 64 0.03 0.13 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.12 Step 1686 of 2080 0.42 64 0.03 0.11 Step 1690 of 2080 0.42 64 0.03 0.12 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.03 0.11 Step 1702 of 2080 0.42 64 0.03 0.11 Step 1706 of 2080 0.42 64 0.03 0.12 Step 1710 of 2080 0.42 64 0.03 0.11 Step 1714 of 2080 0.42 64 0.03 0.11 Step 1718 of 2080 0.41 64 0.03 0.11 Step 1722 of 2080 0.41 64 0.03 0.11 Step 1726 of 2080 0.41 64 0.03 0.11 Step 1730 of 2080 0.41 64 0.03 0.11 Step 1734 of 2080 0.41 64 0.03 0.12 Step 1738 of 2080 0.41 64 0.03 0.12 Step 1742 of 2080 0.41 64 0.03 0.13 Step 1746 of 2080 0.41 64 0.03 0.12 Step 1750 of 2080 0.41 64 0.03 0.12 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.12 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.12 Step 1770 of 2080 0.41 64 0.03 0.11 Step 1774 of 2080 0.41 64 0.03 0.11 Step 1778 of 2080 0.41 64 0.03 0.11 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.04 0.13 Step 1790 of 2080 0.41 64 0.03 0.11 Step 1794 of 2080 0.41 64 0.03 0.12 Step 1798 of 2080 0.41 64 0.02 0.11 Step 1802 of 2080 0.41 64 0.03 0.11 Step 1806 of 2080 0.41 64 0.03 0.12 Step 1810 of 2080 0.41 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.02 0.11 Step 1822 of 2080 0.40 64 0.03 0.11 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.03 0.12 Step 1838 of 2080 0.40 64 0.04 0.12 Step 1842 of 2080 0.40 64 0.03 0.11 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.04 0.12 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.04 0.13 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.03 0.12 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.03 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.11 Step 1898 of 2080 0.40 64 0.03 0.11 Step 1902 of 2080 0.40 64 0.03 0.11 Step 1906 of 2080 0.40 64 0.03 0.11 Step 1910 of 2080 0.39 64 0.03 0.11 Step 1914 of 2080 0.39 64 0.03 0.11 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.03 0.11 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.11 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.03 0.12 Step 1942 of 2080 0.39 64 0.03 0.11 Step 1946 of 2080 0.39 64 0.03 0.11 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.12 Step 1958 of 2080 0.39 64 0.03 0.11 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.03 0.12 Step 1970 of 2080 0.39 64 0.03 0.11 Step 1974 of 2080 0.39 64 0.03 0.11 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.11 Step 1986 of 2080 0.39 64 0.03 0.11 Step 1990 of 2080 0.39 64 0.03 0.11 Step 1994 of 2080 0.39 64 0.03 0.11 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.11 Step 2006 of 2080 0.39 64 0.03 0.11 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.11 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.03 0.11 Step 2030 of 2080 0.38 64 0.03 0.11 Step 2034 of 2080 0.38 64 0.03 0.11 Step 2038 of 2080 0.38 64 0.03 0.11 Step 2042 of 2080 0.38 64 0.03 0.11 Step 2046 of 2080 0.38 64 0.02 0.11 Step 2050 of 2080 0.38 64 0.03 0.11 Step 2054 of 2080 0.38 64 0.03 0.11 Step 2058 of 2080 0.38 64 0.03 0.11 Step 2062 of 2080 0.38 64 0.03 0.11 Step 2066 of 2080 0.38 64 0.03 0.11 Step 2070 of 2080 0.38 64 0.03 0.11 Step 2074 of 2080 0.38 64 0.03 0.11 Step 2078 of 2080 0.38 64 0.03 0.11 ROW NITER SIG(med) CHI^2 .0000 1 0.92 1.19 .0001 1 0.92 1.18 .0002 1 0.92 1.26 .0003 1 0.92 1.25 .0004 1 0.91 1.21 .0005 1 0.91 1.15 .0006 1 0.91 1.22 .0007 1 0.91 1.25 .0008 1 0.91 1.27 .0009 1 0.91 1.23 .0010 1 0.91 1.19 .0011 1 0.91 1.20 .0012 1 0.91 1.17 .0013 1 0.91 1.18 .0014 1 0.91 1.16 .0015 1 0.91 1.17 .0016 1 0.91 1.22 .0017 1 0.91 1.13 .0018 1 0.91 1.12 .0019 1 0.91 1.20 .0020 1 0.91 1.17 .0021 1 0.91 1.19 .0022 1 0.91 1.09 .0023 1 0.91 1.11 .0024 1 0.91 1.11 .0025 2 0.91 1.10 .0026 2 0.91 1.12 .0027 1 0.91 1.10 .0028 1 0.91 1.12 .0029 1 0.91 1.08 .0030 2 0.91 1.33 .0031 2 0.91 1.14 .0032 1 0.91 1.08 .0033 1 0.91 1.16 .0034 1 0.91 1.11 .0035 1 0.91 1.14 .0036 1 0.91 1.18 .0037 1 0.91 1.05 .0038 1 0.91 1.05 .0039 1 0.91 1.12 .0040 1 0.91 1.17 .0041 1 0.91 1.14 .0042 1 0.91 1.03 .0043 1 0.91 1.07 .0044 2 0.91 1.07 .0045 1 0.91 1.03 .0046 1 0.91 1.03 .0047 1 0.91 1.12 .0048 1 0.91 1.17 .0049 1 0.91 1.03 .0050 1 0.91 1.08 .0051 1 0.91 1.09 .0052 1 0.91 1.12 .0053 1 0.91 1.10 .0054 1 0.91 0.97 .0055 1 0.91 1.12 .0056 1 0.91 1.06 .0057 1 0.91 1.09 .0058 1 0.91 1.05 .0059 1 0.91 1.08 .0060 1 0.91 1.09 .0061 1 0.91 1.10 .0062 1 0.91 1.09 .0063 2 0.91 1.11 .0064 1 0.91 1.12 .0065 1 0.91 1.08 .0066 1 0.91 1.09 .0067 1 0.91 1.11 .0068 1 0.91 1.05 .0069 1 0.91 1.06 .0070 1 0.91 1.13 .0071 1 0.91 1.06 .0072 1 0.91 1.00 .0073 1 0.91 1.07 .0074 1 0.91 1.09 .0075 1 0.91 1.12 .0076 1 0.91 1.17 .0077 1 0.91 1.04 .0078 1 0.91 1.15 .0079 1 0.91 1.19 .0080 1 0.91 1.12 .0081 1 0.91 1.10 .0082 1 0.91 1.09 .0083 1 0.91 1.05 .0084 1 0.91 1.16 .0085 1 0.91 1.26 .0086 1 0.91 1.15 .0087 1 0.91 1.19 .0088 1 0.91 1.20 .0089 1 0.91 1.24 .0090 1 0.91 1.19 .0091 1 0.91 1.25 .0092 1 0.91 1.30 .0093 2 0.91 1.20 .0094 1 0.91 1.22 .0095 1 0.91 1.26 .0096 1 0.91 1.17 .0097 1 0.91 1.18 .0098 1 0.91 1.17 .0099 1 0.91 1.23 .0100 1 0.91 1.31 .0101 1 0.91 1.17 .0102 1 0.91 1.26 .0103 1 0.91 1.26 .0104 1 0.91 1.25 .0105 1 0.91 1.24 .0106 1 0.91 1.21 .0107 1 0.91 1.27 .0108 1 0.91 1.23 .0109 1 0.91 1.18 .0110 1 0.91 1.22 .0111 1 0.91 1.24 .0112 1 0.91 1.26 .0113 1 0.91 1.25 .0114 1 0.91 1.21 .0115 1 0.91 1.18 .0116 1 0.91 1.22 .0117 1 0.91 1.29 .0118 1 0.91 1.21 .0119 1 0.91 1.28 .0120 1 0.91 1.28 .0121 1 0.91 1.21 .0122 1 0.91 1.20 .0123 1 0.91 1.22 .0124 1 0.91 1.20 .0125 1 0.91 1.16 .0126 2 0.91 1.19 .0127 1 0.91 1.22 .0128 1 0.91 1.25 .0129 1 0.91 1.14 .0130 1 0.91 1.16 .0131 2 0.91 1.26 .0132 1 0.91 1.17 .0133 1 0.91 1.16 .0134 1 0.91 1.24 .0135 1 0.91 1.19 .0136 1 0.91 1.18 .0137 2 0.91 1.17 .0138 1 0.91 1.21 .0139 1 0.91 1.24 .0140 1 0.91 1.19 .0141 1 0.91 1.14 .0142 1 0.91 1.19 .0143 2 0.91 1.15 .0144 1 0.91 1.22 .0145 1 0.91 1.18 .0146 1 0.91 1.22 .0147 1 0.91 1.22 .0148 1 0.91 1.10 .0149 1 0.91 1.11 .0150 1 0.91 1.19 .0151 1 0.91 1.18 .0152 1 0.91 1.24 .0153 1 0.91 1.28 .0154 1 0.91 1.14 .0155 1 0.91 1.18 .0156 1 0.91 1.14 .0157 1 0.91 1.30 .0158 1 0.91 1.26 .0159 1 0.91 1.24 .0160 1 0.91 1.18 .0161 1 0.91 1.27 .0162 1 0.91 1.19 .0163 1 0.91 1.25 .0164 1 0.91 1.24 .0165 1 0.91 1.27 .0166 1 0.91 1.18 .0167 1 0.91 1.19 .0168 1 0.91 1.24 .0169 1 0.91 1.31 .0170 1 0.91 1.31 .0171 1 0.91 1.24 .0172 1 0.91 1.28 .0173 1 0.91 1.30 .0174 1 0.91 1.24 .0175 1 0.91 1.23 .0176 1 0.91 1.18 .0177 1 0.91 1.24 .0178 1 0.91 1.19 .0179 1 0.91 1.19 .0180 1 0.91 1.22 .0181 2 0.91 1.19 .0182 1 0.91 1.26 .0183 1 0.91 1.22 .0184 1 0.91 1.15 .0185 1 0.91 1.19 .0186 1 0.91 1.17 .0187 1 0.91 1.15 .0188 1 0.91 1.18 .0189 1 0.91 1.23 .0190 1 0.91 1.23 .0191 1 0.91 1.27 .0192 1 0.91 1.19 .0193 1 0.91 1.21 .0194 1 0.91 1.31 .0195 1 0.91 1.19 .0196 1 0.91 1.20 .0197 1 0.91 1.33 .0198 1 0.91 1.23 .0199 1 0.91 1.35 .0200 1 0.91 1.28 .0201 1 0.91 1.45 .0202 1 0.91 1.28 .0203 1 0.91 1.29 .0204 1 0.91 1.25 .0205 1 0.91 1.16 .0206 1 0.91 1.14 .0207 1 0.91 1.26 .0208 1 0.91 1.26 .0209 1 0.91 1.14 .0210 1 0.91 1.23 .0211 1 0.91 1.21 .0212 1 0.91 1.23 .0213 1 0.91 1.20 .0214 1 0.91 1.25 .0215 1 0.91 1.27 .0216 1 0.91 1.21 .0217 1 0.91 1.20 .0218 1 0.91 1.16 .0219 1 0.91 1.23 .0220 2 0.91 1.19 .0221 1 0.91 1.24 .0222 1 0.91 1.14 .0223 1 0.91 1.20 .0224 1 0.91 1.20 .0225 1 0.91 1.18 .0226 1 0.91 1.38 .0227 1 0.91 1.18 .0228 1 0.91 1.22 .0229 1 0.91 1.28 .0230 1 0.91 1.18 .0231 1 0.91 1.20 .0232 1 0.91 1.23 .0233 1 0.91 1.29 .0234 1 0.91 1.24 .0235 1 0.91 1.25 .0236 1 0.91 1.17 .0237 1 0.91 1.24 .0238 1 0.91 1.23 .0239 1 0.91 1.23 .0240 1 0.91 1.19 .0241 2 0.91 1.19 .0242 1 0.91 1.25 .0243 1 0.91 1.21 .0244 1 0.91 1.25 .0245 1 0.91 1.22 .0246 1 0.91 1.24 .0247 1 0.91 1.23 .0248 1 0.91 1.24 .0249 1 0.91 1.14 .0250 1 0.91 1.23 .0251 1 0.91 1.24 .0252 1 0.91 1.20 .0253 1 0.91 1.36 .0254 1 0.91 1.24 .0255 1 0.91 1.21 .0256 1 0.91 1.18 .0257 1 0.91 1.15 .0258 1 0.91 1.27 .0259 1 0.91 1.33 .0260 1 0.91 1.23 .0261 1 0.91 1.28 .0262 1 0.91 1.31 .0263 1 0.91 1.25 .0264 1 0.91 1.30 .0265 1 0.91 1.35 .0266 1 0.91 1.25 .0267 1 0.91 1.24 .0268 1 0.91 1.20 .0269 1 0.91 1.28 .0270 1 0.91 1.29 .0271 1 0.91 1.28 .0272 1 0.91 1.28 .0273 1 0.91 1.23 .0274 1 0.91 1.26 .0275 1 0.91 1.27 .0276 1 0.91 1.26 .0277 1 0.91 1.25 .0278 1 0.91 1.19 .0279 1 0.91 1.33 .0280 1 0.91 1.27 .0281 1 0.91 1.34 .0282 1 0.91 1.29 .0283 1 0.91 1.32 .0284 1 0.91 1.34 .0285 1 0.91 1.32 .0286 1 0.91 1.32 .0287 1 0.91 1.36 .0288 1 0.91 1.31 .0289 1 0.91 1.35 .0290 1 0.91 1.30 .0291 1 0.91 1.38 .0292 1 0.91 1.40 .0293 1 0.91 1.43 .0294 1 0.91 1.26 .0295 1 0.91 1.42 .0296 1 0.91 1.31 .0297 1 0.91 1.38 .0298 1 0.91 1.25 .0299 1 0.91 1.42 .0300 1 0.91 1.31 .0301 1 0.91 1.49 .0302 1 0.91 1.42 .0303 1 0.91 1.31 .0304 1 0.91 1.49 .0305 1 0.91 1.45 .0306 1 0.91 1.47 .0307 1 0.91 1.44 .0308 1 0.91 1.44 .0309 1 0.91 1.40 .0310 1 0.91 1.52 .0311 1 0.91 1.45 .0312 1 0.91 1.62 .0313 1 0.91 1.48 .0314 1 0.91 1.50 .0315 1 0.91 1.54 .0316 1 0.91 1.63 .0317 1 0.91 1.54 .0318 1 0.91 1.54 .0319 1 0.91 1.55 .0320 1 0.91 1.59 .0321 1 0.91 1.58 .0322 1 0.91 1.57 .0323 1 0.91 1.55 .0324 1 0.91 1.66 .0325 1 0.91 1.56 .0326 1 0.91 1.56 .0327 1 0.91 1.65 .0328 1 0.91 1.62 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.1772 1 0.89 3.08 .1773 1 0.89 3.08 .1774 1 0.89 3.40 .1775 1 0.89 3.23 .1776 1 0.89 3.67 .1777 2 0.89 3.20 .1778 1 0.89 3.51 .1779 2 0.89 3.34 .1780 1 0.89 3.54 .1781 2 0.89 3.08 .1782 1 0.89 3.49 .1783 1 0.89 3.13 .1784 1 0.89 3.13 .1785 1 0.89 3.13 .1786 1 0.89 3.00 .1787 1 0.89 3.16 .1788 1 0.89 3.14 .1789 1 0.89 3.21 .1790 1 0.89 3.14 .1791 1 0.89 3.27 .1792 1 0.89 3.49 .1793 1 0.89 3.26 .1794 1 0.89 3.19 .1795 1 0.89 3.11 .1796 1 0.89 3.06 .1797 1 0.89 3.13 .1798 1 0.89 3.29 .1799 1 0.89 3.02 .1800 1 0.89 3.28 .1801 1 0.89 3.25 .1802 1 0.89 3.17 .1803 1 0.89 3.12 .1804 1 0.89 3.11 .1805 1 0.89 3.12 .1806 1 0.89 3.22 .1807 1 0.89 3.37 .1808 1 0.89 3.12 .1809 1 0.89 3.16 .1810 1 0.89 3.07 .1811 1 0.89 3.15 .1812 1 0.89 3.14 .1813 1 0.89 3.10 .1814 1 0.89 3.15 .1815 1 0.89 3.05 .1816 1 0.89 3.07 .1817 1 0.89 3.13 .1818 1 0.89 3.13 .1819 1 0.89 2.98 .1820 1 0.89 3.05 .1821 1 0.89 3.02 .1822 2 0.89 3.33 .1823 1 0.89 3.04 .1824 1 0.89 2.91 .1825 1 0.89 3.13 .1826 1 0.89 2.98 .1827 1 0.89 2.94 .1828 1 0.89 3.11 .1829 1 0.89 3.11 .1830 1 0.89 3.26 .1831 1 0.89 3.12 .1832 1 0.89 3.03 .1833 1 0.89 3.13 .1834 1 0.89 3.11 .1835 1 0.89 3.03 .1836 1 0.89 2.89 .1837 1 0.89 3.15 .1838 1 0.89 3.06 .1839 1 0.89 3.14 .1840 1 0.89 3.04 .1841 1 0.89 3.18 .1842 1 0.89 3.14 .1843 1 0.89 3.15 .1844 1 0.89 2.90 .1845 1 0.89 3.24 .1846 1 0.89 3.05 .1847 1 0.89 3.05 .1848 1 0.89 3.00 .1849 1 0.89 3.08 .1850 1 0.89 3.12 .1851 2 0.89 2.95 .1852 2 0.89 3.43 .1853 1 0.89 3.15 .1854 1 0.89 3.21 .1855 1 0.89 3.13 .1856 1 0.89 3.11 .1857 1 0.89 3.00 .1858 1 0.89 3.01 .1859 1 0.89 3.00 .1860 1 0.89 3.01 .1861 1 0.89 2.98 .1862 1 0.89 3.15 .1863 1 0.89 3.20 .1864 1 0.89 3.34 .1865 1 0.89 2.98 .1866 1 0.89 3.00 .1867 1 0.89 3.04 .1868 1 0.89 3.02 .1869 1 0.89 3.40 .1870 1 0.89 2.99 .1871 1 0.89 2.98 .1872 1 0.89 2.97 .1873 1 0.89 2.91 .1874 1 0.89 2.96 .1875 1 0.89 2.93 .1876 1 0.89 2.96 .1877 1 0.89 2.97 .1878 1 0.89 2.93 .1879 1 0.89 3.15 .1880 2 0.89 3.06 .1881 1 0.89 3.03 .1882 1 0.89 3.08 .1883 1 0.89 3.03 .1884 1 0.90 2.96 .1885 1 0.90 3.15 .1886 1 0.90 3.00 .1887 3 0.90 3.93 .1888 2 0.90 3.52 .1889 1 0.90 3.03 .1890 1 0.90 2.89 .1891 1 0.90 3.14 .1892 1 0.90 3.03 .1893 1 0.90 3.05 .1894 1 0.90 3.04 .1895 1 0.90 2.86 .1896 1 0.90 2.93 .1897 1 0.90 2.99 .1898 1 0.90 2.95 .1899 2 0.90 2.94 .1900 1 0.90 2.92 .1901 1 0.90 3.00 .1902 1 0.90 2.93 .1903 1 0.90 2.99 .1904 1 0.90 3.08 .1905 1 0.90 3.05 .1906 1 0.90 2.85 .1907 1 0.90 2.81 .1908 1 0.90 2.82 .1909 2 0.90 2.84 .1910 1 0.90 2.89 .1911 1 0.90 3.04 .1912 1 0.90 2.75 .1913 1 0.90 2.96 .1914 1 0.90 2.87 .1915 1 0.90 2.97 .1916 1 0.90 2.80 .1917 1 0.90 2.82 .1918 1 0.90 2.99 .1919 1 0.90 3.04 .1920 1 0.90 2.74 .1921 1 0.90 2.91 .1922 1 0.90 2.81 .1923 1 0.90 2.90 .1924 1 0.90 2.87 .1925 1 0.90 2.84 .1926 1 0.90 2.88 .1927 1 0.90 2.75 .1928 1 0.90 2.79 .1929 1 0.90 3.00 .1930 1 0.90 2.93 .1931 1 0.90 2.83 .1932 1 0.90 2.81 .1933 1 0.90 2.79 .1934 1 0.90 2.67 .1935 1 0.90 2.89 .1936 2 0.90 2.78 .1937 1 0.90 2.68 .1938 1 0.90 3.13 .1939 1 0.90 2.77 .1940 1 0.90 2.69 .1941 1 0.90 2.79 .1942 2 0.90 2.77 .1943 1 0.90 2.64 .1944 1 0.90 2.74 .1945 1 0.90 2.74 .1946 1 0.90 2.71 .1947 1 0.90 2.82 .1948 1 0.90 2.76 .1949 1 0.90 2.71 .1950 1 0.90 2.68 .1951 1 0.90 2.71 .1952 1 0.90 2.65 .1953 1 0.90 2.63 .1954 1 0.90 2.69 .1955 1 0.90 2.77 .1956 1 0.90 3.00 .1957 1 0.90 2.78 .1958 1 0.90 2.56 .1959 1 0.90 2.71 .1960 1 0.90 2.47 .1961 1 0.90 2.56 .1962 1 0.90 2.55 .1963 1 0.90 2.50 .1964 1 0.90 2.77 .1965 1 0.90 2.53 .1966 1 0.90 2.66 .1967 1 0.90 2.60 .1968 1 0.90 2.66 .1969 1 0.90 2.41 .1970 2 0.90 2.71 .1971 1 0.90 2.72 .1972 1 0.90 2.61 .1973 1 0.90 2.50 .1974 2 0.90 2.50 .1975 1 0.90 2.61 .1976 1 0.90 2.56 .1977 1 0.90 2.52 .1978 1 0.90 2.62 .1979 1 0.90 2.46 .1980 1 0.90 2.56 .1981 1 0.90 2.41 .1982 1 0.90 2.57 .1983 1 0.90 2.57 .1984 1 0.90 2.36 .1985 1 0.90 2.38 .1986 1 0.90 2.50 .1987 1 0.90 2.44 .1988 2 0.90 2.70 .1989 1 0.90 2.45 .1990 1 0.90 2.57 .1991 1 0.90 2.59 .1992 1 0.90 2.47 .1993 1 0.90 2.33 .1994 1 0.90 2.34 .1995 1 0.90 2.37 .1996 1 0.90 2.33 .1997 1 0.90 2.29 .1998 1 0.90 2.40 .1999 1 0.90 2.26 .2000 1 0.90 2.34 .2001 1 0.90 2.35 .2002 1 0.90 2.37 .2003 1 0.90 2.29 .2004 2 0.90 2.41 .2005 2 0.90 2.36 .2006 1 0.90 2.31 .2007 1 0.90 2.33 .2008 1 0.90 2.30 .2009 1 0.90 2.29 .2010 1 0.90 2.38 .2011 1 0.90 2.47 .2012 1 0.90 2.20 .2013 1 0.90 2.21 .2014 1 0.90 2.28 .2015 1 0.90 2.39 .2016 1 0.90 2.27 .2017 1 0.90 2.25 .2018 1 0.90 2.36 .2019 1 0.90 2.28 .2020 1 0.90 2.09 .2021 1 0.90 2.19 .2022 1 0.90 2.28 .2023 1 0.90 2.12 .2024 1 0.90 2.36 .2025 1 0.91 2.12 .2026 1 0.91 2.19 .2027 1 0.91 2.07 .2028 1 0.91 2.03 .2029 1 0.91 2.08 .2030 2 0.91 2.32 .2031 2 0.91 2.41 .2032 1 0.91 2.17 .2033 1 0.91 2.28 .2034 1 0.91 2.17 .2035 1 0.91 2.02 .2036 2 0.91 2.21 .2037 1 0.91 2.10 .2038 2 0.91 2.01 .2039 1 0.91 2.10 .2040 1 0.91 2.04 .2041 1 0.91 2.03 .2042 1 0.91 2.01 .2043 1 0.91 2.04 .2044 1 0.91 2.10 .2045 1 0.91 2.16 .2046 1 0.91 2.17 .2047 1 0.91 2.05 EXTRACT_IMAGE: b2: masked 133 pixels SPCALIB: b2: First extraction chi^2 0.984916 5.48914 SPCALIB: b2: Second extraction chi^2 0.970033 4.34911 SUPERFLAT: b2: Creating superflat from 315 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174Lowest breakpoint does not cover lowest x value: changing .0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318highest breakpoint does not cover highest x value, changing .0319 FIBERFLAT: b2: Number of fiberflat points LE 0 = 8569 SPCALIB: b2: Elapsed time = 430. seconds SPREDUCE: b2: Best flat = sdR-b2-00034591.fit SPREDUCE: b2: Best arc = sdR-b2-00034592.fit QAPLOT_ARCLINE: b2: Number of arc lines: 15 QAPLOT_ARCLINE: b2: Number of arc lines below 4000 Ang: 1 QAPLOT_ARCLINE: b2: Arcline 0: lambda= 3983.84 Ang, median dev= -0.042 pix, sigma dev= 0.143 pix QAPLOT_ARCLINE: b2: Arcline 1: lambda= 4046.57 Ang, median dev= 0.000 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b2: Arcline 2: lambda= 4077.84 Ang, median dev= 0.007 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: b2: Arcline 3: lambda= 4358.34 Ang, median dev= -0.010 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b2: Arcline 4: lambda= 4678.15 Ang, median dev= 0.021 pix, sigma dev= 0.029 pix QAPLOT_ARCLINE: b2: Arcline 5: lambda= 4799.91 Ang, median dev= 0.017 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: b2: Arcline 6: lambda= 4916.07 Ang, median dev= 0.002 pix, sigma dev= 0.052 pix QAPLOT_ARCLINE: b2: Arcline 7: lambda= 5085.82 Ang, median dev= -0.010 pix, sigma dev= 0.012 pix QAPLOT_ARCLINE: b2: Arcline 8: lambda= 5460.75 Ang, median dev= -0.008 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: b2: Arcline 9: lambda= 5769.60 Ang, median dev= 0.003 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b2: Arcline 10: lambda= 5790.66 Ang, median dev= 0.012 pix, sigma dev= 0.006 pix QAPLOT_ARCLINE: b2: Arcline 11: lambda= 5852.49 Ang, median dev= -0.000 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b2: Arcline 12: lambda= 5881.90 Ang, median dev= 0.000 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: b2: Arcline 13: lambda= 5944.83 Ang, median dev= 0.002 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: b2: Arcline 14: lambda= 6030.00 Ang, median dev= -0.019 pix, sigma dev= 0.023 pix SPREDUCE: sdR-b2-00034587.fit: Reading object sdR-b2-00034587.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034587.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034587.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034587.fit: Measured read-noise in DN for amp# 2 = 3.80014 SDSSPROC: sdR-b2-00034587.fit: Measured bias value in DN for amp# 2 = 1233.98 SDSSPROC: sdR-b2-00034587.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034587.fit: Amp #2 Number of pix below bias-5*sigma= 1215. DN is 0 SDSSPROC: sdR-b2-00034587.fit: Measured read-noise in DN for amp# 3 = 3.35424 SDSSPROC: sdR-b2-00034587.fit: Measured bias value in DN for amp# 3 = 1204.77 SDSSPROC: sdR-b2-00034587.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034587.fit: Amp #3 Number of pix below bias-5*sigma= 1188. DN is 0 SDSSPROC: sdR-b2-00034587.fit: Number of bleading columns = 2 SDSSPROC: sdR-b2-00034587.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034587.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034587.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034587.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034587.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034587.fit: Science 25-th-percentile = 431.101 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b2-00034587.fit: Whopping fibers: 5 12 14 23 27 32 34 40 46 64 66 69 76 78 86 96 102 105 112 130 132 141 149 155 157 197 205 207 209 217 223 226 238 244 251 262 275 277 293 303 312 316 EXTRACT_OBJECT: sdR-b2-00034587.fit: Median counts in all fibers = 12382.0 EXTRACT_OBJECT: sdR-b2-00034587.fit: Number of bright fibers = 42 EXTRACT_OBJECT: sdR-b2-00034587.fit: Sky fiber median 664.361 EXTRACT_OBJECT: sdR-b2-00034587.fit: 5% and 95% count levels 628.480 33521.3 EXTRACT_OBJECT: sdR-b2-00034587.fit: WARNING: Disable whopping terms sdR-b2-00034587.fit MATCH_TRACE: sdR-b2-00034587.fit: Iteration: 0 Pixels Rejected: 21101 Finished? 0 MATCH_TRACE: sdR-b2-00034587.fit: Iteration: 1 Pixels Rejected: 321 Finished? 0 MATCH_TRACE: sdR-b2-00034587.fit: Iteration: 2 Pixels Rejected: 35 Finished? 0 MATCH_TRACE: sdR-b2-00034587.fit: Iteration: 3 Pixels Rejected: 5 Finished? 0 MATCH_TRACE: sdR-b2-00034587.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-b2-00034587.fit: Warning: Large number of pixels rejected! 21462 EXTRACT_OBJECT: sdR-b2-00034587.fit: Shifting traces by match_trace 0.0763550 EXTRACT_OBJECT: sdR-b2-00034587.fit: Extracting frame sdR-b2-00034587.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034587.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 2 0.92 2.12 .0001 2 0.92 2.23 .0002 4 0.92 2.17 .0003 3 0.92 2.08 .0004 3 0.91 2.16 .0005 3 0.91 2.10 .0006 3 0.91 2.19 .0007 3 0.91 2.01 .0008 4 0.91 2.32 .0009 4 0.91 2.16 .0010 3 0.91 2.05 .0011 3 0.91 2.11 .0012 1 0.91 2.25 .0013 2 0.91 2.05 .0014 1 0.91 2.13 .0015 1 0.91 2.02 .0016 4 0.91 2.06 .0017 3 0.91 2.16 .0018 2 0.91 2.03 .0019 3 0.91 2.11 .0020 3 0.91 2.11 .0021 3 0.91 2.07 .0022 1 0.91 2.06 .0023 1 0.91 1.94 .0024 1 0.91 2.09 .0025 2 0.91 1.97 .0026 1 0.91 1.96 .0027 1 0.91 1.95 .0028 1 0.91 1.97 .0029 2 0.91 2.20 .0030 2 0.91 2.04 .0031 4 0.91 2.03 .0032 2 0.91 1.98 .0033 1 0.91 1.99 .0034 1 0.91 1.95 .0035 2 0.91 1.97 .0036 1 0.91 1.95 .0037 2 0.91 2.00 .0038 2 0.91 2.15 .0039 2 0.91 1.95 .0040 2 0.91 1.93 .0041 2 0.91 1.98 .0042 1 0.91 2.07 .0043 3 0.91 1.92 .0044 2 0.91 2.07 .0045 2 0.91 2.01 .0046 2 0.91 1.93 .0047 1 0.91 1.90 .0048 1 0.91 1.86 .0049 2 0.91 1.96 .0050 1 0.91 1.83 .0051 2 0.91 1.93 .0052 2 0.91 1.91 .0053 2 0.91 1.81 .0054 2 0.91 1.86 .0055 2 0.91 1.79 .0056 2 0.91 2.03 .0057 3 0.91 1.94 .0058 5 0.91 2.06 .0059 3 0.91 1.96 .0060 3 0.91 2.12 .0061 2 0.91 1.83 .0062 1 0.91 1.91 .0063 2 0.91 1.76 .0064 2 0.91 1.87 .0065 1 0.91 1.79 .0066 1 0.91 1.83 .0067 1 0.91 1.81 .0068 2 0.91 1.73 .0069 3 0.91 1.69 .0070 2 0.91 1.78 .0071 1 0.91 1.72 .0072 1 0.91 1.51 .0073 3 0.91 1.80 .0074 3 0.91 1.77 .0075 1 0.91 1.67 .0076 1 0.91 1.57 .0077 2 0.91 1.66 .0078 1 0.91 1.66 .0079 1 0.91 1.76 .0080 1 0.91 1.77 .0081 4 0.91 2.01 .0082 2 0.91 1.72 .0083 1 0.91 1.63 .0084 1 0.91 1.69 .0085 2 0.91 1.77 .0086 1 0.91 1.86 .0087 2 0.91 1.81 .0088 3 0.91 1.76 .0089 2 0.91 1.84 .0090 2 0.91 1.71 .0091 1 0.91 1.87 .0092 3 0.91 1.99 .0093 5 0.91 2.07 .0094 4 0.91 2.19 .0095 3 0.91 1.89 .0096 2 0.91 2.00 .0097 3 0.91 2.16 .0098 1 0.91 1.98 .0099 1 0.91 2.12 .0100 1 0.91 2.06 .0101 3 0.91 2.21 .0102 1 0.91 2.32 .0103 3 0.91 2.34 .0104 2 0.91 2.36 .0105 1 0.91 2.44 .0106 2 0.91 2.51 .0107 2 0.91 2.51 .0108 2 0.91 2.51 .0109 2 0.91 2.38 .0110 2 0.91 2.42 .0111 2 0.91 2.65 .0112 2 0.91 2.56 .0113 4 0.91 2.64 .0114 2 0.91 2.44 .0115 3 0.91 2.49 .0116 2 0.91 2.63 .0117 2 0.91 2.55 .0118 2 0.91 2.58 .0119 1 0.91 2.61 .0120 1 0.91 2.67 .0121 1 0.91 2.57 .0122 2 0.91 2.84 .0123 2 0.91 2.75 .0124 2 0.91 2.56 .0125 1 0.91 2.63 .0126 2 0.91 2.75 .0127 1 0.91 2.56 .0128 1 0.91 2.58 .0129 3 0.91 2.61 .0130 1 0.91 2.84 .0131 2 0.91 2.72 .0132 2 0.91 2.62 .0133 3 0.91 2.75 .0134 2 0.91 2.60 .0135 2 0.91 2.66 .0136 2 0.91 2.71 .0137 2 0.91 2.60 .0138 2 0.91 2.57 .0139 3 0.91 2.62 .0140 2 0.91 2.78 .0141 2 0.91 2.66 .0142 2 0.91 2.79 .0143 1 0.91 2.67 .0144 2 0.91 2.64 .0145 2 0.91 2.85 .0146 2 0.91 2.79 .0147 1 0.91 2.64 .0148 1 0.91 2.60 .0149 1 0.91 2.54 .0150 1 0.91 2.73 .0151 1 0.91 2.68 .0152 2 0.91 2.64 .0153 1 0.91 2.77 .0154 1 0.91 2.72 .0155 1 0.91 2.72 .0156 1 0.91 2.92 .0157 2 0.91 2.61 .0158 2 0.91 2.68 .0159 2 0.91 2.59 .0160 1 0.91 2.78 .0161 1 0.91 2.52 .0162 3 0.91 2.70 .0163 2 0.91 2.63 .0164 2 0.91 2.78 .0165 2 0.91 2.89 .0166 2 0.91 2.70 .0167 2 0.91 2.70 .0168 1 0.91 2.55 .0169 1 0.91 2.64 .0170 3 0.91 3.09 .0171 1 0.91 2.66 .0172 2 0.91 2.73 .0173 1 0.91 2.70 .0174 3 0.91 2.82 .0175 2 0.91 2.71 .0176 2 0.91 3.22 .0177 2 0.91 2.63 .0178 2 0.91 2.78 .0179 3 0.91 2.64 .0180 1 0.91 2.77 .0181 2 0.91 2.81 .0182 4 0.91 2.96 .0183 2 0.91 2.79 .0184 2 0.91 2.87 .0185 1 0.91 2.78 .0186 2 0.91 2.67 .0187 2 0.91 2.60 .0188 3 0.91 2.69 .0189 3 0.91 2.97 .0190 2 0.91 2.65 .0191 1 0.91 2.76 .0192 1 0.91 2.61 .0193 1 0.91 2.72 .0194 2 0.91 2.84 .0195 1 0.91 2.94 .0196 4 0.91 2.79 .0197 1 0.91 3.33 .0198 3 0.91 2.85 .0199 2 0.91 2.83 .0200 2 0.91 3.04 .0201 1 0.91 2.95 .0202 1 0.91 2.83 .0203 1 0.91 2.57 .0204 1 0.91 2.93 .0205 1 0.91 2.77 .0206 2 0.91 2.73 .0207 2 0.91 3.34 .0208 2 0.91 2.90 .0209 1 0.91 2.66 .0210 1 0.91 2.66 .0211 1 0.91 2.85 .0212 2 0.91 2.81 .0213 2 0.91 2.83 .0214 3 0.91 3.05 .0215 1 0.91 2.78 .0216 1 0.91 2.67 .0217 1 0.91 2.69 .0218 1 0.91 2.68 .0219 3 0.91 2.75 .0220 2 0.91 2.96 .0221 3 0.91 2.64 .0222 2 0.91 2.56 .0223 1 0.91 2.71 .0224 2 0.91 2.71 .0225 2 0.91 2.86 .0226 3 0.91 2.72 .0227 1 0.91 2.73 .0228 1 0.91 2.76 .0229 2 0.91 2.73 .0230 2 0.91 2.84 .0231 1 0.91 2.89 .0232 1 0.91 2.77 .0233 2 0.91 2.95 .0234 2 0.91 2.92 .0235 3 0.91 3.15 .0236 2 0.91 2.96 .0237 2 0.91 2.94 .0238 3 0.91 3.02 .0239 1 0.91 3.31 .0240 2 0.91 2.89 .0241 1 0.91 3.12 .0242 1 0.91 3.01 .0243 2 0.91 3.04 .0244 2 0.91 3.18 .0245 1 0.91 3.18 .0246 2 0.91 2.88 .0247 1 0.91 2.83 .0248 1 0.91 2.76 .0249 1 0.91 2.76 .0250 1 0.91 3.06 .0251 2 0.91 3.27 .0252 1 0.91 2.73 .0253 1 0.91 2.78 .0254 1 0.91 3.01 .0255 2 0.91 2.97 .0256 3 0.91 2.76 .0257 1 0.91 2.97 .0258 1 0.91 2.84 .0259 1 0.91 3.09 .0260 1 0.91 3.08 .0261 1 0.91 3.02 .0262 1 0.91 3.01 .0263 1 0.91 2.92 .0264 1 0.91 3.02 .0265 2 0.91 3.04 .0266 1 0.91 3.15 .0267 1 0.91 3.08 .0268 2 0.91 3.01 .0269 1 0.91 3.09 .0270 3 0.91 3.24 .0271 2 0.91 3.16 .0272 1 0.91 3.06 .0273 1 0.91 3.16 .0274 2 0.91 2.93 .0275 1 0.91 3.20 .0276 1 0.91 3.07 .0277 3 0.91 3.16 .0278 1 0.91 3.12 .0279 1 0.91 3.27 .0280 1 0.91 3.29 .0281 1 0.91 2.97 .0282 1 0.91 3.14 .0283 1 0.91 3.16 .0284 3 0.91 3.36 .0285 3 0.91 3.30 .0286 1 0.91 3.34 .0287 1 0.91 3.20 .0288 2 0.91 3.17 .0289 1 0.91 3.21 .0290 1 0.91 3.11 .0291 2 0.91 3.27 .0292 1 0.91 3.23 .0293 1 0.91 3.37 .0294 4 0.91 3.06 .0295 2 0.91 3.68 .0296 2 0.91 3.43 .0297 1 0.91 3.21 .0298 1 0.91 3.22 .0299 2 0.91 3.15 .0300 2 0.91 3.26 .0301 1 0.91 3.34 .0302 1 0.91 3.55 .0303 1 0.91 3.51 .0304 2 0.91 3.54 .0305 2 0.91 3.42 .0306 1 0.91 3.32 .0307 1 0.91 3.42 .0308 2 0.91 3.55 .0309 1 0.91 3.50 .0310 3 0.91 3.29 .0311 1 0.91 3.52 .0312 2 0.91 3.49 .0313 1 0.91 3.47 .0314 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2 0.89 5.33 .1869 2 0.89 5.21 .1870 1 0.89 4.64 .1871 2 0.89 4.72 .1872 1 0.89 4.64 .1873 3 0.89 4.63 .1874 1 0.89 4.64 .1875 2 0.89 5.05 .1876 2 0.89 4.52 .1877 2 0.89 5.02 .1878 3 0.89 4.37 .1879 2 0.89 4.30 .1880 2 0.89 4.32 .1881 2 0.89 4.17 .1882 1 0.89 3.81 .1883 2 0.89 3.82 .1884 3 0.90 3.65 .1885 2 0.90 3.63 .1886 1 0.90 3.47 .1887 3 0.90 3.23 .1888 1 0.90 3.25 .1889 1 0.90 3.42 .1890 3 0.90 3.67 .1891 2 0.90 3.46 .1892 1 0.90 3.60 .1893 1 0.90 3.58 .1894 2 0.90 3.42 .1895 2 0.90 3.68 .1896 4 0.90 3.68 .1897 2 0.90 3.77 .1898 1 0.90 3.55 .1899 2 0.90 3.63 .1900 1 0.90 3.75 .1901 1 0.90 3.71 .1902 1 0.90 3.72 .1903 2 0.90 3.73 .1904 2 0.90 3.80 .1905 2 0.90 4.14 .1906 2 0.90 3.84 .1907 2 0.90 3.88 .1908 1 0.90 4.06 .1909 1 0.90 4.02 .1910 2 0.90 4.15 .1911 2 0.90 4.09 .1912 2 0.90 4.10 .1913 3 0.90 4.22 .1914 1 0.90 4.43 .1915 2 0.90 4.30 .1916 3 0.90 4.22 .1917 3 0.90 4.30 .1918 2 0.90 4.10 .1919 1 0.90 3.94 .1920 3 0.90 3.72 .1921 1 0.90 3.81 .1922 1 0.90 3.96 .1923 2 0.90 3.89 .1924 2 0.90 3.77 .1925 1 0.90 3.88 .1926 1 0.90 4.07 .1927 3 0.90 3.99 .1928 1 0.90 4.13 .1929 1 0.90 4.01 .1930 1 0.90 4.35 .1931 3 0.90 3.98 .1932 2 0.90 4.09 .1933 2 0.90 4.52 .1934 4 0.90 4.17 .1935 2 0.90 5.09 .1936 4 0.90 4.55 .1937 3 0.90 3.94 .1938 2 0.90 4.32 .1939 2 0.90 4.22 .1940 3 0.90 4.28 .1941 3 0.90 4.28 .1942 1 0.90 4.30 .1943 3 0.90 4.44 .1944 2 0.90 4.21 .1945 1 0.90 4.53 .1946 2 0.90 4.40 .1947 1 0.90 4.25 .1948 2 0.90 4.57 .1949 1 0.90 4.46 .1950 1 0.90 4.36 .1951 3 0.90 4.13 .1952 3 0.90 4.43 .1953 1 0.90 4.45 .1954 1 0.90 4.21 .1955 1 0.90 4.09 .1956 1 0.90 4.12 .1957 1 0.90 3.90 .1958 3 0.90 4.09 .1959 2 0.90 3.91 .1960 3 0.90 3.76 .1961 2 0.90 3.89 .1962 2 0.90 3.88 .1963 2 0.90 3.60 .1964 1 0.90 3.90 .1965 3 0.90 3.42 .1966 3 0.90 3.35 .1967 3 0.90 3.31 .1968 1 0.90 3.30 .1969 3 0.90 3.59 .1970 3 0.90 3.26 .1971 1 0.90 3.31 .1972 1 0.90 3.42 .1973 2 0.90 3.31 .1974 3 0.90 3.34 .1975 2 0.90 4.30 .1976 2 0.90 3.79 .1977 1 0.90 3.80 .1978 1 0.90 3.29 .1979 2 0.90 3.32 .1980 1 0.90 3.40 .1981 2 0.90 3.34 .1982 1 0.90 3.36 .1983 1 0.90 3.70 .1984 3 0.90 3.80 .1985 2 0.90 3.99 .1986 1 0.90 3.59 .1987 2 0.90 3.68 .1988 1 0.90 3.92 .1989 1 0.90 3.81 .1990 2 0.90 3.79 .1991 2 0.90 3.82 .1992 1 0.90 3.84 .1993 3 0.90 3.87 .1994 4 0.90 3.93 .1995 2 0.90 3.97 .1996 1 0.90 3.88 .1997 2 0.90 4.12 .1998 1 0.90 3.99 .1999 3 0.90 3.83 .2000 1 0.90 4.32 .2001 2 0.90 4.09 .2002 1 0.90 4.26 .2003 3 0.90 4.05 .2004 2 0.90 3.87 .2005 1 0.90 3.81 .2006 1 0.90 3.86 .2007 2 0.90 3.87 .2008 1 0.90 3.78 .2009 1 0.90 3.84 .2010 2 0.90 3.82 .2011 3 0.90 3.59 .2012 2 0.90 3.96 .2013 2 0.90 3.97 .2014 5 0.90 3.64 .2015 3 0.90 3.55 .2016 1 0.90 3.47 .2017 1 0.90 3.47 .2018 2 0.90 3.28 .2019 3 0.90 3.24 .2020 3 0.90 3.39 .2021 2 0.90 3.13 .2022 2 0.90 3.08 .2023 1 0.90 3.09 .2024 2 0.90 3.04 .2025 1 0.91 3.14 .2026 1 0.91 2.87 .2027 2 0.91 3.18 .2028 3 0.91 2.93 .2029 3 0.91 2.95 .2030 2 0.91 3.10 .2031 1 0.91 2.90 .2032 2 0.91 2.97 .2033 1 0.91 3.00 .2034 2 0.91 3.02 .2035 2 0.91 2.91 .2036 3 0.91 2.92 .2037 3 0.91 2.88 .2038 1 0.91 3.01 .2039 2 0.91 3.34 .2040 2 0.91 3.14 .2041 1 0.91 3.16 .2042 3 0.91 3.10 .2043 1 0.91 3.17 .2044 1 0.91 3.20 .2045 2 0.91 3.28 .2046 2 0.91 3.50 .2047 2 0.91 3.25 EXTRACT_IMAGE: sdR-b2-00034587.fit: masked 1858 pixels EXTRACT_OBJECT: sdR-b2-00034587.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034587.fit: WARNING: Scattered light median = 105.911 electrons QAPLOT_SCATLIGHT: sdR-b2-00034587.fit: WARNING: Scattered light max = 187.231 electrons EXTRACT_OBJECT: sdR-b2-00034587.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034587.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034587.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034587.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 32 0.01 0.06 Step 10 of 2080 0.62 32 0.01 0.05 Step 14 of 2080 0.62 64 0.02 0.11 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.02 0.11 Step 26 of 2080 0.61 64 0.02 0.12 Step 30 of 2080 0.61 64 0.02 0.11 Step 34 of 2080 0.61 64 0.02 0.11 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.03 0.12 Step 46 of 2080 0.61 64 0.02 0.12 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.03 0.11 Step 58 of 2080 0.61 64 0.02 0.11 Step 62 of 2080 0.61 64 0.02 0.11 Step 66 of 2080 0.61 64 0.02 0.11 Step 70 of 2080 0.61 64 0.02 0.10 Step 74 of 2080 0.61 64 0.02 0.11 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.02 0.11 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.61 64 0.02 0.11 Step 94 of 2080 0.61 64 0.02 0.11 Step 98 of 2080 0.60 64 0.02 0.11 Step 102 of 2080 0.60 64 0.02 0.10 Step 106 of 2080 0.60 64 0.03 0.11 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.02 0.11 Step 118 of 2080 0.60 64 0.03 0.11 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.03 0.11 Step 130 of 2080 0.60 64 0.03 0.11 Step 134 of 2080 0.60 64 0.03 0.11 Step 138 of 2080 0.60 64 0.03 0.11 Step 142 of 2080 0.60 64 0.02 0.11 Step 146 of 2080 0.60 64 0.03 0.11 Step 150 of 2080 0.60 64 0.03 0.11 Step 154 of 2080 0.60 64 0.03 0.11 Step 158 of 2080 0.60 64 0.03 0.13 Step 162 of 2080 0.60 64 0.03 0.12 Step 166 of 2080 0.60 64 0.03 0.11 Step 170 of 2080 0.60 64 0.03 0.12 Step 174 of 2080 0.60 64 0.03 0.12 Step 178 of 2080 0.59 64 0.03 0.12 Step 182 of 2080 0.59 64 0.03 0.12 Step 186 of 2080 0.59 64 0.03 0.12 Step 190 of 2080 0.59 64 0.03 0.11 Step 194 of 2080 0.59 64 0.03 0.11 Step 198 of 2080 0.59 64 0.03 0.12 Step 202 of 2080 0.59 64 0.03 0.12 Step 206 of 2080 0.59 64 0.03 0.11 Step 210 of 2080 0.59 64 0.03 0.12 Step 214 of 2080 0.59 64 0.03 0.12 Step 218 of 2080 0.59 64 0.03 0.12 Step 222 of 2080 0.59 64 0.03 0.13 Step 226 of 2080 0.59 64 0.03 0.12 Step 230 of 2080 0.59 64 0.03 0.12 Step 234 of 2080 0.59 64 0.03 0.12 Step 238 of 2080 0.59 64 0.03 0.12 Step 242 of 2080 0.59 64 0.03 0.12 Step 246 of 2080 0.59 64 0.02 0.12 Step 250 of 2080 0.59 64 0.02 0.12 Step 254 of 2080 0.59 64 0.03 0.11 Step 258 of 2080 0.58 64 0.03 0.12 Step 262 of 2080 0.58 64 0.03 0.12 Step 266 of 2080 0.58 64 0.03 0.11 Step 270 of 2080 0.58 64 0.04 0.12 Step 274 of 2080 0.58 64 0.03 0.11 Step 278 of 2080 0.58 64 0.03 0.11 Step 282 of 2080 0.58 64 0.03 0.12 Step 286 of 2080 0.58 64 0.03 0.11 Step 290 of 2080 0.58 64 0.03 0.12 Step 294 of 2080 0.58 64 0.03 0.12 Step 298 of 2080 0.58 64 0.03 0.11 Step 302 of 2080 0.58 64 0.04 0.12 Step 306 of 2080 0.58 64 0.04 0.12 Step 310 of 2080 0.58 64 0.04 0.12 Step 314 of 2080 0.58 64 0.04 0.12 Step 318 of 2080 0.58 64 0.03 0.11 Step 322 of 2080 0.58 64 0.04 0.13 Step 326 of 2080 0.58 64 0.03 0.12 Step 330 of 2080 0.58 64 0.03 0.11 Step 334 of 2080 0.58 64 0.03 0.12 Step 338 of 2080 0.57 64 0.03 0.12 Step 342 of 2080 0.57 64 0.03 0.11 Step 346 of 2080 0.57 64 0.04 0.13 Step 350 of 2080 0.57 64 0.04 0.12 Step 354 of 2080 0.57 64 0.04 0.12 Step 358 of 2080 0.57 64 0.04 0.12 Step 362 of 2080 0.57 64 0.04 0.11 Step 366 of 2080 0.57 64 0.04 0.12 Step 370 of 2080 0.57 64 0.03 0.12 Step 374 of 2080 0.57 64 0.03 0.12 Step 378 of 2080 0.57 64 0.03 0.11 Step 382 of 2080 0.57 64 0.03 0.11 Step 386 of 2080 0.57 64 0.03 0.12 Step 390 of 2080 0.57 64 0.03 0.11 Step 394 of 2080 0.57 64 0.03 0.12 Step 398 of 2080 0.57 64 0.03 0.12 Step 402 of 2080 0.57 64 0.03 0.11 Step 406 of 2080 0.57 64 0.03 0.12 Step 410 of 2080 0.57 64 0.03 0.12 Step 414 of 2080 0.57 64 0.02 0.11 Step 418 of 2080 0.56 64 0.03 0.12 Step 422 of 2080 0.56 64 0.03 0.12 Step 426 of 2080 0.56 64 0.03 0.11 Step 430 of 2080 0.56 64 0.03 0.11 Step 434 of 2080 0.56 64 0.03 0.11 Step 438 of 2080 0.56 64 0.03 0.11 Step 442 of 2080 0.56 64 0.02 0.11 Step 446 of 2080 0.56 64 0.02 0.11 Step 450 of 2080 0.56 64 0.02 0.13 Step 454 of 2080 0.56 64 0.03 0.12 Step 458 of 2080 0.56 64 0.02 0.11 Step 462 of 2080 0.56 64 0.02 0.12 Step 466 of 2080 0.56 64 0.02 0.11 Step 470 of 2080 0.56 64 0.02 0.11 Step 474 of 2080 0.56 64 0.02 0.12 Step 478 of 2080 0.56 64 0.02 0.11 Step 482 of 2080 0.56 64 0.02 0.11 Step 486 of 2080 0.56 64 0.02 0.11 Step 490 of 2080 0.56 64 0.02 0.11 Step 494 of 2080 0.56 64 0.02 0.11 Step 498 of 2080 0.56 64 0.02 0.11 Step 502 of 2080 0.55 64 0.02 0.11 Step 506 of 2080 0.55 64 0.02 0.11 Step 510 of 2080 0.55 64 0.02 0.11 Step 514 of 2080 0.55 64 0.03 0.11 Step 518 of 2080 0.55 64 0.02 0.11 Step 522 of 2080 0.55 64 0.03 0.12 Step 526 of 2080 0.55 64 0.02 0.11 Step 530 of 2080 0.55 64 0.02 0.11 Step 534 of 2080 0.55 64 0.03 0.12 Step 538 of 2080 0.55 64 0.03 0.11 Step 542 of 2080 0.55 64 0.02 0.12 Step 546 of 2080 0.55 64 0.02 0.11 Step 550 of 2080 0.55 64 0.02 0.11 Step 554 of 2080 0.55 64 0.02 0.11 Step 558 of 2080 0.55 64 0.03 0.11 Step 562 of 2080 0.55 64 0.03 0.11 Step 566 of 2080 0.55 64 0.03 0.12 Step 570 of 2080 0.55 64 0.03 0.12 Step 574 of 2080 0.55 64 0.03 0.13 Step 578 of 2080 0.55 64 0.03 0.13 Step 582 of 2080 0.54 64 0.03 0.12 Step 586 of 2080 0.54 64 0.03 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2080 0.53 64 0.03 0.13 Step 706 of 2080 0.53 64 0.03 0.13 Step 710 of 2080 0.53 64 0.03 0.12 Step 714 of 2080 0.53 64 0.03 0.12 Step 718 of 2080 0.53 64 0.03 0.11 Step 722 of 2080 0.53 64 0.03 0.11 Step 726 of 2080 0.53 64 0.03 0.11 Step 730 of 2080 0.53 64 0.03 0.12 Step 734 of 2080 0.53 64 0.03 0.12 Step 738 of 2080 0.53 64 0.03 0.12 Step 742 of 2080 0.53 64 0.03 0.12 Step 746 of 2080 0.52 64 0.03 0.12 Step 750 of 2080 0.52 64 0.03 0.12 Step 754 of 2080 0.52 64 0.03 0.12 Step 758 of 2080 0.52 64 0.03 0.12 Step 762 of 2080 0.52 64 0.03 0.12 Step 766 of 2080 0.52 64 0.04 0.14 Step 770 of 2080 0.52 64 0.04 0.13 Step 774 of 2080 0.52 64 0.03 0.12 Step 778 of 2080 0.52 64 0.03 0.12 Step 782 of 2080 0.52 64 0.04 0.13 Step 786 of 2080 0.52 64 0.03 0.13 Step 790 of 2080 0.52 64 0.03 0.12 Step 794 of 2080 0.52 64 0.03 0.12 Step 798 of 2080 0.52 64 0.03 0.12 Step 802 of 2080 0.52 64 0.03 0.13 Step 806 of 2080 0.52 64 0.03 0.13 Step 810 of 2080 0.52 64 0.03 0.14 Step 814 of 2080 0.52 64 0.03 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64 0.03 0.12 Step 1046 of 2080 0.49 64 0.03 0.12 Step 1050 of 2080 0.49 64 0.04 0.13 Step 1054 of 2080 0.49 64 0.04 0.13 Step 1058 of 2080 0.49 64 0.03 0.12 Step 1062 of 2080 0.49 64 0.03 0.12 Step 1066 of 2080 0.49 64 0.03 0.12 Step 1070 of 2080 0.49 64 0.03 0.12 Step 1074 of 2080 0.49 64 0.02 0.12 Step 1078 of 2080 0.49 64 0.02 0.12 Step 1082 of 2080 0.49 64 0.02 0.11 Step 1086 of 2080 0.48 64 0.02 0.11 Step 1090 of 2080 0.48 64 0.03 0.11 Step 1094 of 2080 0.48 64 0.03 0.12 Step 1098 of 2080 0.48 64 0.03 0.12 Step 1102 of 2080 0.48 64 0.03 0.12 Step 1106 of 2080 0.48 64 0.03 0.13 Step 1110 of 2080 0.48 64 0.03 0.13 Step 1114 of 2080 0.48 64 0.04 0.13 Step 1118 of 2080 0.48 64 0.03 0.13 Step 1122 of 2080 0.48 64 0.03 0.12 Step 1126 of 2080 0.48 64 0.03 0.12 Step 1130 of 2080 0.48 64 0.03 0.12 Step 1134 of 2080 0.48 64 0.03 0.12 Step 1138 of 2080 0.48 64 0.03 0.13 Step 1142 of 2080 0.48 64 0.03 0.12 Step 1146 of 2080 0.48 64 0.04 0.14 Step 1150 of 2080 0.48 64 0.04 0.12 Step 1154 of 2080 0.48 64 0.04 0.12 Step 1158 of 2080 0.48 64 0.04 0.13 Step 1162 of 2080 0.48 64 0.04 0.12 Step 1166 of 2080 0.48 64 0.04 0.12 Step 1170 of 2080 0.48 64 0.05 0.13 Step 1174 of 2080 0.47 64 0.04 0.12 Step 1178 of 2080 0.47 64 0.04 0.12 Step 1182 of 2080 0.47 64 0.04 0.12 Step 1186 of 2080 0.47 64 0.04 0.12 Step 1190 of 2080 0.47 64 0.04 0.12 Step 1194 of 2080 0.47 64 0.04 0.12 Step 1198 of 2080 0.47 64 0.05 0.14 Step 1202 of 2080 0.47 64 0.04 0.12 Step 1206 of 2080 0.47 64 0.04 0.12 Step 1210 of 2080 0.47 64 0.04 0.12 Step 1214 of 2080 0.47 64 0.04 0.12 Step 1218 of 2080 0.47 64 0.04 0.12 Step 1222 of 2080 0.47 64 0.04 0.12 Step 1226 of 2080 0.47 64 0.04 0.12 Step 1230 of 2080 0.47 64 0.04 0.12 Step 1234 of 2080 0.47 64 0.04 0.12 Step 1238 of 2080 0.47 64 0.04 0.12 Step 1242 of 2080 0.47 64 0.05 0.14 Step 1246 of 2080 0.47 64 0.03 0.12 Step 1250 of 2080 0.47 64 0.03 0.12 Step 1254 of 2080 0.47 64 0.05 0.13 Step 1258 of 2080 0.47 64 0.04 0.12 Step 1262 of 2080 0.46 64 0.03 0.12 Step 1266 of 2080 0.46 64 0.03 0.13 Step 1270 of 2080 0.46 64 0.03 0.12 Step 1274 of 2080 0.46 64 0.03 0.12 Step 1278 of 2080 0.46 64 0.03 0.12 Step 1282 of 2080 0.46 64 0.04 0.12 Step 1286 of 2080 0.46 64 0.04 0.15 Step 1290 of 2080 0.46 64 0.04 0.13 Step 1294 of 2080 0.46 64 0.05 0.13 Step 1298 of 2080 0.46 64 0.05 0.14 Step 1302 of 2080 0.46 64 0.04 0.13 Step 1306 of 2080 0.46 64 0.04 0.12 Step 1310 of 2080 0.46 64 0.04 0.12 Step 1314 of 2080 0.46 64 0.04 0.12 Step 1318 of 2080 0.46 64 0.04 0.12 Step 1322 of 2080 0.46 64 0.04 0.11 Step 1326 of 2080 0.46 64 0.04 0.12 Step 1330 of 2080 0.46 64 0.04 0.12 Step 1334 of 2080 0.46 64 0.04 0.12 Step 1338 of 2080 0.46 64 0.04 0.12 Step 1342 of 2080 0.46 64 0.04 0.12 Step 1346 of 2080 0.46 64 0.04 0.12 Step 1350 of 2080 0.45 64 0.04 0.12 Step 1354 of 2080 0.45 64 0.04 0.12 Step 1358 of 2080 0.45 64 0.04 0.12 Step 1362 of 2080 0.45 64 0.04 0.12 Step 1366 of 2080 0.45 64 0.04 0.13 Step 1370 of 2080 0.45 64 0.05 0.13 Step 1374 of 2080 0.45 64 0.04 0.12 Step 1378 of 2080 0.45 64 0.05 0.13 Step 1382 of 2080 0.45 64 0.04 0.12 Step 1386 of 2080 0.45 64 0.05 0.13 Step 1390 of 2080 0.45 64 0.04 0.12 Step 1394 of 2080 0.45 64 0.05 0.14 Step 1398 of 2080 0.45 64 0.04 0.13 Step 1402 of 2080 0.45 64 0.04 0.12 Step 1406 of 2080 0.45 64 0.04 0.13 Step 1410 of 2080 0.45 64 0.04 0.12 Step 1414 of 2080 0.45 64 0.05 0.15 Step 1418 of 2080 0.45 64 0.04 0.13 Step 1422 of 2080 0.45 64 0.04 0.13 Step 1426 of 2080 0.45 64 0.04 0.14 Step 1430 of 2080 0.45 64 0.05 0.15 Step 1434 of 2080 0.45 64 0.04 0.13 Step 1438 of 2080 0.44 64 0.05 0.14 Step 1442 of 2080 0.44 64 0.06 0.15 Step 1446 of 2080 0.44 64 0.04 0.13 Step 1450 of 2080 0.44 64 0.05 0.14 Step 1454 of 2080 0.44 64 0.04 0.13 Step 1458 of 2080 0.44 64 0.04 0.14 Step 1462 of 2080 0.44 64 0.04 0.13 Step 1466 of 2080 0.44 64 0.04 0.12 Step 1470 of 2080 0.44 64 0.04 0.13 Step 1474 of 2080 0.44 64 0.04 0.13 Step 1478 of 2080 0.44 64 0.04 0.15 Step 1482 of 2080 0.44 64 0.04 0.14 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.03 0.12 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.03 0.11 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.04 0.12 Step 1514 of 2080 0.44 64 0.04 0.13 Step 1518 of 2080 0.44 64 0.04 0.14 Step 1522 of 2080 0.44 64 0.05 0.13 Step 1526 of 2080 0.44 64 0.04 0.12 Step 1530 of 2080 0.43 64 0.05 0.13 Step 1534 of 2080 0.43 64 0.04 0.12 Step 1538 of 2080 0.43 64 0.04 0.12 Step 1542 of 2080 0.43 64 0.05 0.12 Step 1546 of 2080 0.43 64 0.05 0.12 Step 1550 of 2080 0.43 64 0.05 0.12 Step 1554 of 2080 0.43 64 0.05 0.12 Step 1558 of 2080 0.43 64 0.05 0.12 Step 1562 of 2080 0.43 64 0.05 0.13 Step 1566 of 2080 0.43 64 0.04 0.12 Step 1570 of 2080 0.43 64 0.04 0.12 Step 1574 of 2080 0.43 64 0.04 0.13 Step 1578 of 2080 0.43 64 0.04 0.12 Step 1582 of 2080 0.43 64 0.05 0.14 Step 1586 of 2080 0.43 64 0.05 0.13 Step 1590 of 2080 0.43 64 0.04 0.12 Step 1594 of 2080 0.43 64 0.04 0.12 Step 1598 of 2080 0.43 64 0.04 0.12 Step 1602 of 2080 0.43 64 0.04 0.12 Step 1606 of 2080 0.43 64 0.04 0.12 Step 1610 of 2080 0.43 64 0.05 0.12 Step 1614 of 2080 0.43 64 0.04 0.12 Step 1618 of 2080 0.43 64 0.04 0.12 Step 1622 of 2080 0.42 64 0.04 0.13 Step 1626 of 2080 0.42 64 0.06 0.14 Step 1630 of 2080 0.42 64 0.04 0.13 Step 1634 of 2080 0.42 64 0.06 0.15 Step 1638 of 2080 0.42 64 0.04 0.14 Step 1642 of 2080 0.42 64 0.04 0.15 Step 1646 of 2080 0.42 64 0.04 0.14 Step 1650 of 2080 0.42 64 0.04 0.13 Step 1654 of 2080 0.42 64 0.05 0.15 Step 1658 of 2080 0.42 64 0.05 0.15 Step 1662 of 2080 0.42 64 0.04 0.14 Step 1666 of 2080 0.42 64 0.04 0.15 Step 1670 of 2080 0.42 64 0.08 0.16 Step 1674 of 2080 0.42 64 0.05 0.13 Step 1678 of 2080 0.42 64 0.04 0.12 Step 1682 of 2080 0.42 64 0.05 0.13 Step 1686 of 2080 0.42 64 0.04 0.13 Step 1690 of 2080 0.42 64 0.03 0.12 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.03 0.12 Step 1702 of 2080 0.42 64 0.03 0.12 Step 1706 of 2080 0.42 64 0.03 0.12 Step 1710 of 2080 0.42 64 0.04 0.12 Step 1714 of 2080 0.42 64 0.04 0.15 Step 1718 of 2080 0.41 64 0.04 0.14 Step 1722 of 2080 0.41 64 0.04 0.12 Step 1726 of 2080 0.41 64 0.04 0.14 Step 1730 of 2080 0.41 64 0.03 0.13 Step 1734 of 2080 0.41 64 0.03 0.12 Step 1738 of 2080 0.41 64 0.03 0.12 Step 1742 of 2080 0.41 64 0.04 0.12 Step 1746 of 2080 0.41 64 0.03 0.12 Step 1750 of 2080 0.41 64 0.03 0.12 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.13 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.12 Step 1770 of 2080 0.41 64 0.03 0.12 Step 1774 of 2080 0.41 64 0.03 0.11 Step 1778 of 2080 0.41 64 0.03 0.11 Step 1782 of 2080 0.41 64 0.03 0.11 Step 1786 of 2080 0.41 64 0.04 0.12 Step 1790 of 2080 0.41 64 0.05 0.16 Step 1794 of 2080 0.41 64 0.04 0.15 Step 1798 of 2080 0.41 64 0.05 0.14 Step 1802 of 2080 0.41 64 0.05 0.14 Step 1806 of 2080 0.41 64 0.04 0.14 Step 1810 of 2080 0.41 64 0.03 0.13 Step 1814 of 2080 0.40 64 0.02 0.11 Step 1818 of 2080 0.40 64 0.03 0.11 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.04 0.12 Step 1834 of 2080 0.40 64 0.04 0.12 Step 1838 of 2080 0.40 64 0.03 0.13 Step 1842 of 2080 0.40 64 0.03 0.14 Step 1846 of 2080 0.40 64 0.03 0.14 Step 1850 of 2080 0.40 64 0.03 0.14 Step 1854 of 2080 0.40 64 0.03 0.14 Step 1858 of 2080 0.40 64 0.03 0.14 Step 1862 of 2080 0.40 64 0.03 0.13 Step 1866 of 2080 0.40 64 0.02 0.12 Step 1870 of 2080 0.40 64 0.02 0.12 Step 1874 of 2080 0.40 64 0.02 0.12 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.13 Step 1886 of 2080 0.40 64 0.02 0.13 Step 1890 of 2080 0.40 64 0.03 0.13 Step 1894 of 2080 0.40 64 0.03 0.13 Step 1898 of 2080 0.40 64 0.03 0.13 Step 1902 of 2080 0.40 64 0.03 0.13 Step 1906 of 2080 0.40 64 0.03 0.13 Step 1910 of 2080 0.39 64 0.02 0.13 Step 1914 of 2080 0.39 64 0.02 0.12 Step 1918 of 2080 0.39 64 0.03 0.11 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.11 Step 1934 of 2080 0.39 64 0.03 0.11 Step 1938 of 2080 0.39 64 0.03 0.11 Step 1942 of 2080 0.39 64 0.03 0.12 Step 1946 of 2080 0.39 64 0.03 0.11 Step 1950 of 2080 0.39 64 0.03 0.11 Step 1954 of 2080 0.39 64 0.03 0.11 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.03 0.11 Step 1974 of 2080 0.39 64 0.03 0.11 Step 1978 of 2080 0.39 64 0.03 0.11 Step 1982 of 2080 0.39 64 0.03 0.11 Step 1986 of 2080 0.39 64 0.03 0.11 Step 1990 of 2080 0.39 64 0.03 0.11 Step 1994 of 2080 0.39 64 0.03 0.11 Step 1998 of 2080 0.39 64 0.03 0.12 Step 2002 of 2080 0.39 64 0.03 0.11 Step 2006 of 2080 0.39 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.11 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.03 0.11 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.12 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 64 0.03 0.11 Step 2050 of 2080 0.38 64 0.03 0.12 Step 2054 of 2080 0.38 64 0.03 0.12 Step 2058 of 2080 0.38 64 0.03 0.12 Step 2062 of 2080 0.38 64 0.03 0.12 Step 2066 of 2080 0.38 64 0.03 0.12 Step 2070 of 2080 0.38 64 0.03 0.12 Step 2074 of 2080 0.38 64 0.03 0.13 Step 2078 of 2080 0.38 64 0.03 0.13 EXTRACT_OBJECT: sdR-b2-00034587.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 2 0.92 2.76 .0001 2 0.92 3.66 .0002 4 0.92 4.66 .0003 4 0.92 4.46 .0004 3 0.91 4.54 .0005 3 0.91 4.47 .0006 3 0.91 4.46 .0007 3 0.91 4.38 .0008 3 0.91 4.52 .0009 4 0.91 4.53 .0010 3 0.91 4.49 .0011 2 0.91 4.22 .0012 1 0.91 4.40 .0013 2 0.91 4.00 .0014 1 0.91 3.99 .0015 1 0.91 3.81 .0016 6 0.91 3.68 .0017 3 0.91 3.69 .0018 2 0.91 3.46 .0019 3 0.91 3.49 .0020 3 0.91 3.74 .0021 3 0.91 3.32 .0022 1 0.91 3.06 .0023 1 0.91 2.87 .0024 1 0.91 2.94 .0025 1 0.91 3.01 .0026 1 0.91 2.75 .0027 1 0.91 2.79 .0028 1 0.91 2.63 .0029 2 0.91 2.74 .0030 2 0.91 2.57 .0031 4 0.91 2.55 .0032 3 0.91 2.37 .0033 1 0.91 2.41 .0034 1 0.91 2.27 .0035 2 0.91 2.13 .0036 1 0.91 2.09 .0037 2 0.91 2.12 .0038 2 0.91 2.18 .0039 2 0.91 1.97 .0040 2 0.91 1.92 .0041 2 0.91 1.97 .0042 1 0.91 2.05 .0043 3 0.91 1.81 .0044 2 0.91 1.96 .0045 2 0.91 1.90 .0046 2 0.91 1.83 .0047 1 0.91 1.72 .0048 1 0.91 1.76 .0049 2 0.91 1.85 .0050 1 0.91 1.72 .0051 2 0.91 1.76 .0052 2 0.91 1.75 .0053 2 0.91 1.63 .0054 2 0.91 1.75 .0055 2 0.91 1.68 .0056 2 0.91 1.87 .0057 3 0.91 1.80 .0058 5 0.91 1.94 .0059 3 0.91 1.85 .0060 4 0.91 1.77 .0061 2 0.91 1.66 .0062 1 0.91 1.68 .0063 2 0.91 1.62 .0064 2 0.91 1.72 .0065 1 0.91 1.62 .0066 1 0.91 1.65 .0067 1 0.91 1.64 .0068 2 0.91 1.56 .0069 3 0.91 1.51 .0070 2 0.91 1.65 .0071 1 0.91 1.53 .0072 1 0.91 1.36 .0073 3 0.91 1.62 .0074 3 0.91 1.61 .0075 2 0.91 1.40 .0076 1 0.91 1.41 .0077 2 0.91 1.48 .0078 1 0.91 1.49 .0079 1 0.91 1.59 .0080 1 0.91 1.58 .0081 5 0.91 1.74 .0082 2 0.91 1.54 .0083 1 0.91 1.45 .0084 1 0.91 1.52 .0085 2 0.91 1.57 .0086 1 0.91 1.68 .0087 2 0.91 1.63 .0088 3 0.91 1.60 .0089 2 0.91 1.65 .0090 2 0.91 1.54 .0091 1 0.91 1.68 .0092 3 0.91 1.77 .0093 5 0.91 1.87 .0094 4 0.91 2.04 .0095 2 0.91 1.71 .0096 2 0.91 1.82 .0097 3 0.91 1.97 .0098 1 0.91 1.81 .0099 1 0.91 1.91 .0100 1 0.91 1.86 .0101 3 0.91 1.99 .0102 1 0.91 2.13 .0103 3 0.91 2.17 .0104 2 0.91 2.16 .0105 1 0.91 2.22 .0106 2 0.91 2.30 .0107 2 0.91 2.29 .0108 2 0.91 2.31 .0109 2 0.91 2.16 .0110 2 0.91 2.20 .0111 2 0.91 2.43 .0112 2 0.91 2.30 .0113 4 0.91 2.41 .0114 2 0.91 2.24 .0115 3 0.91 2.28 .0116 2 0.91 2.39 .0117 2 0.91 2.33 .0118 2 0.91 2.33 .0119 1 0.91 2.33 .0120 1 0.91 2.45 .0121 1 0.91 2.34 .0122 2 0.91 2.62 .0123 2 0.91 2.49 .0124 2 0.91 2.28 .0125 1 0.91 2.35 .0126 2 0.91 2.47 .0127 1 0.91 2.33 .0128 1 0.91 2.29 .0129 3 0.91 2.32 .0130 1 0.91 2.53 .0131 2 0.91 2.42 .0132 2 0.91 2.31 .0133 3 0.91 2.45 .0134 2 0.91 2.33 .0135 2 0.91 2.38 .0136 2 0.91 2.42 .0137 2 0.91 2.29 .0138 2 0.91 2.26 .0139 3 0.91 2.34 .0140 2 0.91 2.49 .0141 2 0.91 2.34 .0142 2 0.91 2.47 .0143 1 0.91 2.39 .0144 2 0.91 2.28 .0145 2 0.91 2.56 .0146 2 0.91 2.50 .0147 1 0.91 2.32 .0148 1 0.91 2.31 .0149 1 0.91 2.27 .0150 1 0.91 2.39 .0151 1 0.91 2.37 .0152 2 0.91 2.31 .0153 1 0.91 2.46 .0154 1 0.91 2.44 .0155 1 0.91 2.40 .0156 2 0.91 2.40 .0157 2 0.91 2.31 .0158 2 0.91 2.41 .0159 2 0.91 2.34 .0160 1 0.91 2.44 .0161 1 0.91 2.19 .0162 3 0.91 2.41 .0163 2 0.91 2.27 .0164 2 0.91 2.44 .0165 2 0.91 2.60 .0166 2 0.91 2.37 .0167 2 0.91 2.46 .0168 1 0.91 2.26 .0169 1 0.91 2.40 .0170 3 0.91 2.75 .0171 1 0.91 2.37 .0172 2 0.91 2.38 .0173 1 0.91 2.42 .0174 3 0.91 2.54 .0175 2 0.91 2.38 .0176 3 0.91 2.61 .0177 2 0.91 2.36 .0178 2 0.91 2.39 .0179 3 0.91 2.34 .0180 1 0.91 2.40 .0181 2 0.91 2.47 .0182 4 0.91 2.59 .0183 2 0.91 2.45 .0184 2 0.91 2.55 .0185 1 0.91 2.48 .0186 2 0.91 2.30 .0187 2 0.91 2.26 .0188 3 0.91 2.37 .0189 3 0.91 2.57 .0190 2 0.91 2.33 .0191 1 0.91 2.40 .0192 1 0.91 2.32 .0193 1 0.91 2.39 .0194 2 0.91 2.47 .0195 1 0.91 2.54 .0196 4 0.91 2.46 .0197 2 0.91 2.71 .0198 3 0.91 2.51 .0199 2 0.91 2.46 .0200 2 0.91 2.64 .0201 1 0.91 2.56 .0202 1 0.91 2.53 .0203 1 0.91 2.29 .0204 1 0.91 2.59 .0205 1 0.91 2.38 .0206 2 0.91 2.43 .0207 2 0.91 3.02 .0208 2 0.91 2.50 .0209 1 0.91 2.35 .0210 1 0.91 2.34 .0211 1 0.91 2.50 .0212 2 0.91 2.49 .0213 2 0.91 2.51 .0214 3 0.91 2.68 .0215 1 0.91 2.44 .0216 1 0.91 2.31 .0217 1 0.91 2.37 .0218 1 0.91 2.33 .0219 3 0.91 2.42 .0220 2 0.91 2.55 .0221 3 0.91 2.25 .0222 2 0.91 2.20 .0223 1 0.91 2.31 .0224 2 0.91 2.35 .0225 2 0.91 2.46 .0226 3 0.91 2.38 .0227 1 0.91 2.39 .0228 1 0.91 2.38 .0229 2 0.91 2.36 .0230 2 0.91 2.46 .0231 1 0.91 2.56 .0232 1 0.91 2.45 .0233 2 0.91 2.51 .0234 2 0.91 2.51 .0235 3 0.91 2.75 .0236 2 0.91 2.56 .0237 2 0.91 2.50 .0238 3 0.91 2.69 .0239 2 0.91 2.59 .0240 2 0.91 2.46 .0241 1 0.91 2.74 .0242 1 0.91 2.58 .0243 2 0.91 2.62 .0244 3 0.91 2.48 .0245 1 0.91 2.86 .0246 2 0.91 2.48 .0247 1 0.91 2.41 .0248 1 0.91 2.35 .0249 1 0.91 2.37 .0250 1 0.91 2.62 .0251 3 0.91 2.71 .0252 1 0.91 2.32 .0253 1 0.91 2.35 .0254 1 0.91 2.54 .0255 2 0.91 2.52 .0256 3 0.91 2.39 .0257 1 0.91 2.57 .0258 1 0.91 2.39 .0259 1 0.91 2.63 .0260 1 0.91 2.67 .0261 1 0.91 2.62 .0262 1 0.91 2.59 .0263 1 0.91 2.50 .0264 1 0.91 2.63 .0265 2 0.91 2.63 .0266 1 0.91 2.71 .0267 1 0.91 2.59 .0268 2 0.91 2.60 .0269 1 0.91 2.65 .0270 3 0.91 2.85 .0271 2 0.91 2.77 .0272 1 0.91 2.65 .0273 1 0.91 2.70 .0274 2 0.91 2.49 .0275 1 0.91 2.75 .0276 1 0.91 2.61 .0277 5 0.91 2.72 .0278 1 0.91 2.69 .0279 1 0.91 2.80 .0280 1 0.91 2.86 .0281 1 0.91 2.59 .0282 1 0.91 2.67 .0283 1 0.91 2.63 .0284 3 0.91 2.94 .0285 3 0.91 2.89 .0286 2 0.91 2.72 .0287 1 0.91 2.70 .0288 2 0.91 2.74 .0289 1 0.91 2.75 .0290 1 0.91 2.70 .0291 2 0.91 2.80 .0292 1 0.91 2.74 .0293 1 0.91 2.91 .0294 4 0.91 2.65 .0295 3 0.91 2.78 .0296 2 0.91 2.93 .0297 1 0.91 2.77 .0298 1 0.91 2.74 .0299 2 0.91 2.68 .0300 2 0.91 2.81 .0301 1 0.91 2.90 .0302 1 0.91 3.06 .0303 1 0.91 3.06 .0304 2 0.91 3.03 .0305 2 0.91 2.98 .0306 1 0.91 2.84 .0307 1 0.91 2.93 .0308 2 0.91 3.09 .0309 1 0.91 3.03 .0310 3 0.91 2.79 .0311 1 0.91 3.04 .0312 2 0.91 3.01 .0313 1 0.91 2.99 .0314 1 0.91 3.06 .0315 1 0.91 3.10 .0316 3 0.91 3.03 .0317 2 0.91 2.92 .0318 2 0.91 2.98 .0319 2 0.91 3.06 .0320 3 0.91 3.13 .0321 1 0.91 3.12 .0322 1 0.91 3.10 .0323 2 0.91 3.40 .0324 2 0.91 3.18 .0325 3 0.91 3.10 .0326 1 0.91 3.05 .0327 1 0.91 3.13 .0328 3 0.91 3.12 .0329 3 0.91 3.16 .0330 1 0.91 2.97 .0331 1 0.91 2.97 .0332 1 0.91 3.27 .0333 1 0.91 3.11 .0334 1 0.91 3.42 .0335 2 0.91 3.31 .0336 1 0.91 3.12 .0337 1 0.91 3.21 .0338 1 0.91 3.25 .0339 1 0.91 3.13 .0340 1 0.91 3.26 .0341 1 0.91 3.25 .0342 2 0.90 3.64 .0343 3 0.90 3.37 .0344 1 0.90 3.63 .0345 2 0.90 3.36 .0346 2 0.90 3.65 .0347 2 0.90 3.40 .0348 1 0.90 3.40 .0349 3 0.90 3.31 .0350 2 0.90 3.27 .0351 3 0.90 3.68 .0352 2 0.90 3.47 .0353 1 0.90 3.38 .0354 1 0.90 3.30 .0355 2 0.90 3.42 .0356 1 0.90 3.50 .0357 1 0.90 3.52 .0358 1 0.90 3.69 .0359 1 0.90 3.57 .0360 1 0.90 3.47 .0361 3 0.90 4.15 .0362 2 0.90 3.69 .0363 1 0.90 3.60 .0364 2 0.90 3.62 .0365 2 0.90 3.52 .0366 1 0.90 3.79 .0367 1 0.90 3.40 .0368 1 0.90 3.52 .0369 2 0.90 3.65 .0370 3 0.90 3.62 .0371 4 0.90 3.65 .0372 1 0.90 3.57 .0373 1 0.90 3.58 .0374 1 0.90 3.60 .0375 3 0.90 3.57 .0376 2 0.90 3.71 .0377 1 0.90 3.55 .0378 2 0.90 3.75 .0379 5 0.90 3.67 .0380 2 0.90 4.17 .0381 2 0.90 3.91 .0382 2 0.90 4.12 .0383 2 0.90 3.73 .0384 2 0.90 3.60 .0385 1 0.90 3.80 .0386 1 0.90 3.74 .0387 2 0.90 4.15 .0388 2 0.90 3.70 .0389 2 0.90 3.74 .0390 2 0.90 3.75 .0391 2 0.90 3.77 .0392 2 0.90 4.16 .0393 3 0.90 3.82 .0394 3 0.90 3.78 .0395 3 0.90 4.15 .0396 2 0.90 3.90 .0397 2 0.90 3.86 .0398 1 0.90 3.89 .0399 1 0.90 3.83 .0400 1 0.90 3.70 .0401 1 0.90 4.01 .0402 1 0.90 3.90 .0403 1 0.90 3.79 .0404 2 0.90 3.59 .0405 1 0.90 3.81 .0406 2 0.90 3.69 .0407 1 0.90 3.80 .0408 1 0.90 3.68 .0409 1 0.90 3.71 .0410 2 0.90 3.72 .0411 1 0.90 3.82 .0412 1 0.90 3.53 .0413 2 0.90 3.65 .0414 2 0.90 3.45 .0415 1 0.90 3.58 .0416 2 0.90 3.62 .0417 1 0.90 4.05 .0418 1 0.90 3.59 .0419 2 0.90 3.74 .0420 2 0.90 3.65 .0421 2 0.90 3.53 .0422 1 0.90 3.64 .0423 1 0.90 3.62 .0424 1 0.90 3.41 .0425 2 0.90 3.77 .0426 1 0.90 3.40 .0427 1 0.90 3.71 .0428 2 0.90 4.00 .0429 3 0.90 3.91 .0430 1 0.90 3.53 .0431 2 0.90 3.48 .0432 3 0.90 4.17 .0433 3 0.90 3.71 .0434 2 0.90 3.79 .0435 1 0.90 3.66 .0436 3 0.90 3.59 .0437 1 0.90 3.54 .0438 2 0.90 3.73 .0439 2 0.90 3.62 .0440 1 0.90 3.70 .0441 1 0.90 3.65 .0442 1 0.90 3.79 .0443 1 0.90 3.62 .0444 1 0.90 3.66 .0445 1 0.90 3.51 .0446 2 0.90 3.66 .0447 1 0.90 3.89 .0448 1 0.90 3.57 .0449 2 0.90 3.67 .0450 1 0.90 3.68 .0451 3 0.90 3.52 .0452 2 0.90 3.73 .0453 1 0.90 3.43 .0454 1 0.90 3.53 .0455 2 0.90 3.56 .0456 2 0.90 3.94 .0457 2 0.90 4.02 .0458 2 0.90 3.65 .0459 2 0.90 3.78 .0460 1 0.90 3.49 .0461 1 0.90 3.60 .0462 1 0.90 3.65 .0463 1 0.90 3.55 .0464 1 0.90 3.48 .0465 1 0.90 3.46 .0466 1 0.90 3.30 .0467 1 0.90 3.53 .0468 2 0.90 3.59 .0469 1 0.90 3.59 .0470 2 0.90 3.47 .0471 1 0.90 3.72 .0472 2 0.90 3.77 .0473 2 0.90 3.64 .0474 1 0.90 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2.26 .2029 3 0.91 2.27 .2030 2 0.91 2.35 .2031 1 0.91 2.26 .2032 2 0.91 2.28 .2033 1 0.91 2.26 .2034 2 0.91 2.20 .2035 2 0.91 2.21 .2036 3 0.91 2.25 .2037 3 0.91 2.12 .2038 1 0.91 2.23 .2039 3 0.91 2.30 .2040 3 0.91 2.28 .2041 1 0.91 2.47 .2042 3 0.91 2.38 .2043 1 0.91 2.41 .2044 1 0.91 2.46 .2045 2 0.91 2.55 .2046 2 0.91 2.78 .2047 2 0.91 2.54 EXTRACT_IMAGE: sdR-b2-00034587.fit: masked 2045 pixels EXTRACT_OBJECT: sdR-b2-00034587.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034587.fit: Scattered light median = 1.88256 electrons QAPLOT_SCATLIGHT: sdR-b2-00034587.fit: WARNING: Scattered light max = 95.6988 electrons EXTRACT_OBJECT: sdR-b2-00034587.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 2 0.92 10.52 .0001 2 0.92 7.40 .0002 4 0.92 6.47 .0003 3 0.92 5.77 .0004 4 0.91 5.86 .0005 3 0.91 5.60 .0006 3 0.91 5.67 .0007 3 0.91 5.47 .0008 3 0.91 5.53 .0009 3 0.91 5.49 .0010 4 0.91 5.26 .0011 3 0.91 5.22 .0012 2 0.91 5.22 .0013 2 0.91 5.15 .0014 2 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0.89 4.20 .1791 2 0.89 4.45 .1792 4 0.89 4.28 .1793 3 0.89 4.16 .1794 2 0.89 3.87 .1795 2 0.89 4.17 .1796 2 0.89 4.13 .1797 2 0.89 4.25 .1798 2 0.89 4.14 .1799 3 0.89 4.16 .1800 2 0.89 4.45 .1801 3 0.89 4.21 .1802 2 0.89 4.18 .1803 1 0.89 4.01 .1804 2 0.89 4.06 .1805 2 0.89 4.29 .1806 2 0.89 4.23 .1807 1 0.89 4.25 .1808 2 0.89 4.47 .1809 2 0.89 4.11 .1810 2 0.89 4.03 .1811 2 0.89 4.24 .1812 2 0.89 4.21 .1813 1 0.89 4.45 .1814 3 0.89 4.29 .1815 2 0.89 4.23 .1816 1 0.89 4.15 .1817 2 0.89 4.31 .1818 2 0.89 4.30 .1819 3 0.89 4.21 .1820 3 0.89 4.41 .1821 2 0.89 4.32 .1822 2 0.89 4.14 .1823 2 0.89 4.14 .1824 1 0.89 3.83 .1825 1 0.89 4.25 .1826 2 0.89 4.13 .1827 4 0.89 4.22 .1828 3 0.89 4.48 .1829 2 0.89 4.29 .1830 1 0.89 4.08 .1831 2 0.89 4.34 .1832 3 0.89 4.37 .1833 4 0.89 4.20 .1834 2 0.89 4.29 .1835 2 0.89 4.35 .1836 1 0.89 4.52 .1837 2 0.89 4.31 .1838 1 0.89 4.31 .1839 2 0.89 4.54 .1840 5 0.89 4.82 .1841 3 0.89 4.32 .1842 1 0.89 4.28 .1843 2 0.89 4.31 .1844 2 0.89 4.30 .1845 2 0.89 4.53 .1846 2 0.89 4.44 .1847 2 0.89 4.31 .1848 2 0.89 4.32 .1849 3 0.89 4.31 .1850 1 0.89 4.26 .1851 2 0.89 4.27 .1852 1 0.89 4.43 .1853 3 0.89 4.32 .1854 1 0.89 4.34 .1855 1 0.89 4.51 .1856 2 0.89 4.18 .1857 2 0.89 4.15 .1858 2 0.89 4.10 .1859 2 0.89 4.13 .1860 1 0.89 4.20 .1861 1 0.89 4.47 .1862 2 0.89 4.33 .1863 2 0.89 4.45 .1864 2 0.89 4.23 .1865 2 0.89 4.27 .1866 3 0.89 4.59 .1867 3 0.89 4.32 .1868 3 0.89 4.34 .1869 2 0.89 4.30 .1870 1 0.89 3.84 .1871 3 0.89 3.96 .1872 1 0.89 3.99 .1873 3 0.89 3.98 .1874 1 0.89 4.03 .1875 2 0.89 4.06 .1876 2 0.89 3.99 .1877 2 0.89 4.43 .1878 3 0.89 3.62 .1879 3 0.89 3.58 .1880 3 0.89 3.50 .1881 3 0.89 3.47 .1882 2 0.89 3.12 .1883 2 0.89 3.02 .1884 3 0.90 2.88 .1885 2 0.90 2.89 .1886 2 0.90 2.73 .1887 4 0.90 2.71 .1888 1 0.90 2.74 .1889 1 0.90 2.80 .1890 3 0.90 2.93 .1891 2 0.90 2.86 .1892 1 0.90 3.00 .1893 1 0.90 3.10 .1894 2 0.90 3.02 .1895 2 0.90 3.23 .1896 3 0.90 3.23 .1897 2 0.90 3.17 .1898 1 0.90 3.15 .1899 2 0.90 3.12 .1900 1 0.90 3.15 .1901 1 0.90 3.26 .1902 1 0.90 3.22 .1903 2 0.90 3.16 .1904 2 0.90 3.18 .1905 2 0.90 3.43 .1906 2 0.90 3.43 .1907 2 0.90 3.46 .1908 1 0.90 3.42 .1909 1 0.90 3.41 .1910 2 0.90 3.62 .1911 2 0.90 3.56 .1912 2 0.90 3.45 .1913 3 0.90 3.62 .1914 1 0.90 3.70 .1915 3 0.90 3.50 .1916 3 0.90 3.64 .1917 3 0.90 3.53 .1918 2 0.90 3.36 .1919 1 0.90 3.14 .1920 3 0.90 3.03 .1921 1 0.90 3.05 .1922 2 0.90 2.99 .1923 2 0.90 3.17 .1924 2 0.90 3.00 .1925 1 0.90 3.09 .1926 1 0.90 3.24 .1927 3 0.90 3.15 .1928 1 0.90 3.40 .1929 1 0.90 3.36 .1930 1 0.90 3.64 .1931 3 0.90 3.38 .1932 2 0.90 3.44 .1933 3 0.90 3.63 .1934 3 0.90 3.50 .1935 3 0.90 3.67 .1936 5 0.90 3.62 .1937 3 0.90 3.40 .1938 3 0.90 3.38 .1939 2 0.90 3.49 .1940 2 0.90 3.58 .1941 3 0.90 3.61 .1942 1 0.90 3.59 .1943 3 0.90 3.72 .1944 3 0.90 3.51 .1945 2 0.90 3.71 .1946 2 0.90 3.70 .1947 1 0.90 3.64 .1948 3 0.90 3.72 .1949 2 0.90 3.71 .1950 1 0.90 3.74 .1951 3 0.90 3.57 .1952 4 0.90 3.65 .1953 1 0.90 3.69 .1954 2 0.90 3.49 .1955 1 0.90 3.46 .1956 1 0.90 3.48 .1957 1 0.90 3.36 .1958 3 0.90 3.48 .1959 2 0.90 3.30 .1960 3 0.90 3.32 .1961 2 0.90 3.31 .1962 3 0.90 3.24 .1963 2 0.90 2.95 .1964 3 0.90 2.95 .1965 3 0.90 2.92 .1966 3 0.90 2.68 .1967 3 0.90 2.68 .1968 1 0.90 2.81 .1969 3 0.90 2.74 .1970 3 0.90 2.84 .1971 1 0.90 2.79 .1972 1 0.90 2.92 .1973 2 0.90 2.79 .1974 3 0.90 2.86 .1975 3 0.90 3.13 .1976 2 0.90 2.97 .1977 2 0.90 3.12 .1978 1 0.90 2.87 .1979 2 0.90 2.88 .1980 1 0.90 2.92 .1981 2 0.90 2.83 .1982 1 0.90 2.87 .1983 1 0.90 3.22 .1984 4 0.90 3.07 .1985 4 0.90 3.00 .1986 2 0.90 3.04 .1987 2 0.90 3.09 .1988 2 0.90 3.12 .1989 1 0.90 3.23 .1990 2 0.90 3.28 .1991 2 0.90 3.20 .1992 1 0.90 3.22 .1993 3 0.90 3.21 .1994 3 0.90 3.31 .1995 2 0.90 3.39 .1996 1 0.90 3.30 .1997 2 0.90 3.41 .1998 1 0.90 3.35 .1999 3 0.90 3.25 .2000 2 0.90 3.54 .2001 3 0.90 3.39 .2002 2 0.90 3.49 .2003 3 0.90 3.45 .2004 2 0.90 3.31 .2005 1 0.90 3.34 .2006 1 0.90 3.39 .2007 2 0.90 3.39 .2008 1 0.90 3.36 .2009 1 0.90 3.31 .2010 2 0.90 3.41 .2011 3 0.90 3.20 .2012 3 0.90 3.36 .2013 2 0.90 3.43 .2014 3 0.90 3.43 .2015 3 0.90 3.26 .2016 2 0.90 3.14 .2017 2 0.90 2.99 .2018 2 0.90 2.71 .2019 4 0.90 2.52 .2020 3 0.90 2.76 .2021 2 0.90 2.67 .2022 3 0.90 2.53 .2023 1 0.90 2.63 .2024 2 0.90 2.57 .2025 1 0.91 2.62 .2026 1 0.91 2.39 .2027 3 0.91 2.40 .2028 3 0.91 2.38 .2029 5 0.91 2.38 .2030 4 0.91 2.59 .2031 1 0.91 2.44 .2032 2 0.91 2.46 .2033 1 0.91 2.51 .2034 3 0.91 2.44 .2035 2 0.91 2.56 .2036 3 0.91 2.60 .2037 3 0.91 2.46 .2038 1 0.91 2.64 .2039 3 0.91 2.70 .2040 2 0.91 2.75 .2041 4 0.91 2.96 .2042 3 0.91 3.01 .2043 1 0.91 3.12 .2044 1 0.91 3.31 .2045 2 0.91 3.34 .2046 2 0.91 3.57 .2047 2 0.91 3.49 EXTRACT_IMAGE: sdR-b2-00034587.fit: masked 3364 pixels DIVIDEFLAT: sdR-b2-00034587.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034587.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034587.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034587.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034587.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034587.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034587.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034587.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034587.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034587.fit: WARNING: sky shift reference line, sigma 5577.3390 0.072940778 LOCATESKYLINES_2: sdR-b2-00034587.fit: sky shift reference line, offset: 5577.3390 0.025032917 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 0 0.68752209 27.264334 0.23578102 1.0727878 60.908192 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 6 0.89373810 -36.622243 -0.13960111 2.0000000 80.566802 LOCATESKYLINES_2: sdR-b2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 13 0.73799216 -27.619283 -0.53676351 0.86272159 101.91947 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 18 2.9044678 11.906379 0.064335835 1.0671240 33.060125 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 26 3.4130571 -19.589932 -0.12199696 0.89491548 60.358376 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 52 0.88721337 -17.057879 -0.35086669 1.0222598 91.968853 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 60 0.59734362 -7.2534527 0.39574199 1.6544671 73.386268 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 63 2.7679279 -45.908177 -0.22554717 1.6372248 92.760882 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 82 0.30772088 -25.922439 0.55650253 0.76580941 51.853194 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 84 -0.25000000 -70.919579 0.0000000 1.0000000 -6.9717793 LOCATESKYLINES_2: sdR-b2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 109 1.4457707 -46.324770 0.31384321 1.1378635 65.112493 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 114 2.9631102 -31.272783 0.12765568 0.60000000 77.751690 LOCATESKYLINES_2: sdR-b2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 131 0.58759454 -28.373658 -0.11643754 1.0879640 56.508115 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 153 0.32383727 -21.905518 -0.015155793 0.61021139 49.226433 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 176 0.55374016 25.301050 -0.16326839 0.89164558 64.908114 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 180 2.7888967 21.758763 0.041777641 0.92596650 81.124516 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 184 3.5075410 25.634657 0.065992409 0.79036576 106.54593 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 185 0.29805175 34.972239 -0.10219783 0.80388013 77.608981 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 186 1.3426157 24.684667 -0.030504247 0.82489263 54.088555 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 201 0.94248865 -21.548749 0.050963978 0.73183595 95.193148 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 204 0.51551137 -23.706054 0.73242028 1.5326841 83.679760 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 206 0.23706879 -22.655701 1.0000000 0.60189425 43.467673 LOCATESKYLINES_2: sdR-b2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 213 0.43133623 23.349516 -0.44356304 2.0000000 34.026720 LOCATESKYLINES_2: sdR-b2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 235 0.38011070 -10.368738 0.30802023 0.83374503 84.728962 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 257 0.35979250 -5.2612112 0.50301737 1.6801951 83.138714 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 259 0.85881217 38.754768 0.016801600 0.90915402 69.719084 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 260 1.3626533 9.7414312 0.051146372 0.60000000 70.554906 LOCATESKYLINES_2: sdR-b2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 261 2.2679593 -3.8118538 -0.080310828 1.0932937 99.255976 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 265 0.63273105 -14.692062 0.049011124 1.2032394 90.448172 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 271 0.42604252 -20.967037 0.24330385 1.6694915 66.619588 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 276 1.0160825 -66.226671 0.049645166 1.0755925 103.63287 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 281 1.4743873 -5.9595205 -0.13911479 2.0000000 50.733402 LOCATESKYLINES_2: sdR-b2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 284 1.1635774 12.430099 0.14361710 1.0207624 97.160033 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 307 1.0531095 -11.292801 0.34246752 0.83824859 88.403164 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 0 308 0.36920999 -15.458157 0.42390305 0.77282751 89.483668 LOCATESKYLINES_2: sdR-b2-00034587.fit: comb1 l,chi^2/dof,fit: 0 0.77850184 0.025551702 0.065888959 0.99938523 0.94303191 LOCATESKYLINES_2: sdR-b2-00034587.fit: sigma-clipped to 251 of 252 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034587.fit: comb2 l,chi^2/dof,fit: 0 0.72130157 0.031642602 0.080065824 1.0172054 0.92883136 LOCATESKYLINES_2: sdR-b2-00034587.fit: kept 251 of 252 points LOCATESKYLINES_2: sdR-b2-00034587.fit: offset, refoff, sigma: 0.1050990.0800660.049569 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 0 0.41074127 48.951728 0.10751434 0.90492891 253.01613 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 6 1.2901510 28.600513 0.19430899 1.0576168 228.32962 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 13 2.6457392 45.672476 0.30763120 0.85751668 227.92147 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 18 1.5150300 56.834776 0.23181508 1.0459004 215.95276 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 26 1.3875692 53.118594 0.035246384 1.2151682 171.06441 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 52 0.85915392 30.896285 0.037227145 1.0828561 206.94155 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 60 1.7192055 15.195308 0.19946018 1.3616267 198.53620 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 63 1.4185582 40.025125 0.20033631 0.75552244 237.40765 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 82 0.51305215 4.5708415 0.064512169 1.1993117 189.91128 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 84 1.0800266 5.6059153 0.12886803 0.94695048 208.61683 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 109 0.094323788 -7.6101475 0.10901513 1.0644863 227.14282 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 114 0.63535279 -17.178056 0.32162170 1.3386936 229.92208 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 131 0.37260271 36.876801 0.22299633 0.89279694 200.18670 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 153 0.35314543 35.883207 0.13749391 1.0797712 241.28903 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 176 1.7972792 31.668226 0.15350415 1.1811954 239.86092 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 180 2.4766424 38.343166 0.12433194 1.0343593 207.32410 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 184 1.8750089 51.292757 0.21674898 1.0363029 217.41027 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 185 0.95220036 42.046636 -0.041521724 1.2198756 197.67878 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 186 0.27614208 48.299357 0.11334251 1.0256925 232.46377 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 201 0.29006574 21.272945 0.11918534 1.0182519 218.71319 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 204 0.58867951 38.653872 0.36084704 1.1108930 245.33906 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 206 1.9055678 51.664760 0.12547010 1.0021464 207.24291 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 213 1.0988092 80.092389 0.18992037 1.3038699 208.71285 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 235 1.4665222 46.213965 0.0093360299 0.75260020 231.72644 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 257 2.2561011 31.531476 0.029865792 1.0762360 207.83797 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 259 2.0868927 58.847370 0.29015835 0.95170758 241.47162 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 260 0.57544449 42.485193 0.030990979 1.0404782 217.12256 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 261 0.29916327 27.407830 0.074277811 1.1795683 197.93595 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 265 1.0910250 18.236767 0.064749588 0.92215118 249.20243 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 271 2.2044612 31.347222 0.17992793 1.2358068 177.11682 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 276 2.5304497 0.70558414 0.24165317 1.2133856 264.95970 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 281 1.0718610 21.203087 0.15560780 1.2299297 232.89275 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 284 0.88038190 45.368454 0.11880091 1.0254831 232.07516 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 307 0.56732951 28.111265 0.18264446 1.0167309 236.22076 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 1 308 1.2113077 33.148060 0.22891164 1.0588868 217.97207 LOCATESKYLINES_2: sdR-b2-00034587.fit: comb1 l,chi^2/dof,fit: 1 1.0548197 0.0036270585 0.14570403 1.0640388 0.98308450 LOCATESKYLINES_2: sdR-b2-00034587.fit: sigma-clipped to 314 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034587.fit: comb2 l,chi^2/dof,fit: 1 0.99828891 0.0028139465 0.15464726 1.0699294 0.98549811 LOCATESKYLINES_2: sdR-b2-00034587.fit: kept 314 of 315 points LOCATESKYLINES_2: sdR-b2-00034587.fit: offset, refoff, sigma: 0.1796800.1546470.019166 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 0 1.4441365 40.414034 0.040507223 1.2315704 264.59386 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 6 1.5719019 -18.170223 0.12355749 1.0222557 303.14722 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 13 1.2443571 4.9041898 0.24702612 0.91456599 283.37731 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 18 1.1968557 21.202845 0.36252649 1.0466516 266.87121 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 26 1.7495233 92.917605 0.088570135 0.90438519 277.69330 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 52 0.77354503 19.207277 0.17791317 1.0797905 278.58441 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 60 0.88870062 57.458539 0.23562677 1.0044357 236.55084 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 63 0.30018728 49.079299 0.39393747 0.81977101 313.19258 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 82 2.1740206 49.411173 0.074341103 1.0793221 266.54626 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 84 0.75217976 5.8434945 0.096560132 1.5300545 253.59993 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 109 0.96028877 30.010546 0.25159849 1.1500388 282.02680 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 114 1.1084952 63.342152 0.17029520 1.0238773 243.13511 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 131 1.6747275 64.266708 0.15916667 0.92995516 309.79189 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 153 0.79885296 88.134928 0.12819292 1.0767672 307.40690 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 176 1.6005433 80.681685 0.17935053 0.97481605 245.57898 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 180 1.0979048 52.470939 0.17739593 1.0697035 278.22179 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 184 0.72996152 73.591993 0.16804748 1.1222239 292.41625 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 185 2.3959108 62.585324 0.36477583 0.95721184 279.94284 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 186 0.83233075 79.515116 0.065842423 0.94499057 271.01372 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 201 0.75723914 56.045153 0.39812126 1.0930147 236.80385 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 204 1.5570782 68.787554 0.29336505 0.96796092 273.74009 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 206 0.75539458 72.622623 0.22803627 0.93638591 333.58533 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 213 1.3515440 133.73040 0.17532938 1.2241225 238.82411 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 235 1.4789727 37.606601 -0.033859012 1.4500586 263.13990 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 257 0.71611675 52.630815 0.19570941 1.0163407 247.77377 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 259 1.1666861 139.71775 0.11192632 0.94702360 262.54481 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 260 0.65085946 60.512997 0.10863115 1.0619990 248.59317 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 261 1.0490118 70.489949 0.22419352 0.99155337 284.72504 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 265 0.63614371 56.555018 0.13748080 1.1128597 275.84546 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 271 1.9775866 29.134584 0.046491192 1.4565756 253.89700 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 276 0.35636930 38.232071 0.16873015 1.1719890 294.28063 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 281 1.0358725 34.265065 0.20723052 1.1322298 311.96895 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 284 0.96321109 45.585416 0.19798933 1.1019625 261.67278 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 307 0.46498054 19.440892 0.22924571 1.2128748 275.81638 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 2 308 1.3187915 79.344214 -0.014796561 0.85039611 245.63366 LOCATESKYLINES_2: sdR-b2-00034587.fit: comb1 l,chi^2/dof,fit: 2 1.0483342 0.0071871707 0.18388177 1.0527591 0.98795973 LOCATESKYLINES_2: sdR-b2-00034587.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034587.fit: offset, refoff, sigma: 0.2089150.1838820.017771 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 0 12.132243 33.556088 0.24221408 0.90995240 4226.6877 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 6 9.3218956 -25.361976 0.20934491 0.89859148 4198.7157 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 13 2.9424240 -8.6432721 0.21475032 0.94530762 4179.7593 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 18 10.857980 23.462864 0.20266065 0.90349810 4184.5036 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 26 1.7285211 54.912972 0.22410207 0.88457642 4351.3919 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 52 12.764824 19.429786 0.20815976 0.91469614 4107.5904 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 60 17.028156 11.073080 0.20234542 0.88813341 4241.3779 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 63 1.7810901 25.929671 0.21760684 0.88069311 4308.4094 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 82 4.4421919 17.300795 0.20312507 0.90049963 4142.3133 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 84 7.7852610 -0.089696050 0.20538424 0.89561389 4094.9177 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 109 15.905453 12.782891 0.22064985 0.90349569 4197.2228 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 114 7.5142568 23.079000 0.23489055 0.89831286 4259.9967 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 131 1.7120032 52.813164 0.24530581 0.87623419 4294.1066 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 153 5.2835879 98.696575 0.22155912 0.89128346 4304.8468 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 176 7.6290281 49.072638 0.19319384 0.87735320 4254.1638 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 180 7.3372733 32.314060 0.19921106 0.86005159 4486.4213 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 184 4.8466718 74.431787 0.21148585 0.88560820 4313.0193 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 185 5.7046541 48.533564 0.20063552 0.88201966 4248.3429 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 186 5.9134065 43.632728 0.22981728 0.87259268 4362.9603 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 201 10.050798 34.449691 0.21657885 0.90057377 4247.6896 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 204 19.857396 59.667076 0.20831626 0.89186307 4169.4394 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 206 5.0398824 44.632662 0.17623713 0.91230741 4185.4893 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 213 4.4452958 106.38578 0.19588686 0.88832048 4238.7366 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 235 4.5546319 70.621470 0.19284415 0.88343160 4260.8864 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 257 16.797317 31.698811 0.18047985 0.89341471 4367.4669 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 259 12.361197 109.23814 0.19169711 0.89118371 4299.9798 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 260 5.6697784 26.296046 0.19654231 0.89744417 4285.3422 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 261 1.6391650 58.787169 0.20317622 0.89394896 4320.1478 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 265 11.941268 47.567156 0.21490806 0.86929818 4398.0155 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 271 4.8595081 32.197163 0.17699448 0.88269963 4414.8654 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 276 1.9894854 51.958513 0.19061756 0.86917397 4435.9049 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 281 8.3829792 7.7395086 0.17971362 0.90948312 4261.6975 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 284 2.5238428 28.043737 0.18461066 0.90136244 4236.3614 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 307 7.4662839 7.6967112 0.21613154 0.88329976 4385.8587 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 3 308 7.8373996 29.751304 0.21082606 0.88344605 4370.8047 LOCATESKYLINES_2: sdR-b2-00034587.fit: comb1 l,chi^2/dof,fit: 3 4.9617300 -3.5614573e-07 0.20603898 0.89013894 0.99982496 LOCATESKYLINES_2: sdR-b2-00034587.fit: sigma-clipped to 291 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034587.fit: comb2 l,chi^2/dof,fit: 3 3.0510008 0.0012161207 0.20805577 0.88427925 0.99661721 LOCATESKYLINES_2: sdR-b2-00034587.fit: kept 291 of 315 points LOCATESKYLINES_2: sdR-b2-00034587.fit: offset, refoff, sigma: 0.2330890.2080560.002248 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 0 21.713212 100.42386 0.21759071 0.79662888 431.56681 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 6 13.833538 40.523992 0.32166373 0.91784800 386.85531 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 13 13.018121 35.099047 0.29908143 0.82533420 372.51479 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 18 14.110080 53.125821 0.28421018 0.87395173 481.30642 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 26 22.099183 122.18866 0.30204565 0.77436634 450.69058 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 52 16.311112 43.590018 0.25284440 0.87489889 460.34614 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 60 13.065746 88.133506 0.25362494 0.84142064 456.58619 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 63 24.956387 101.64903 0.17940794 0.71791187 400.03962 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 82 15.440802 143.12468 0.24123113 0.69424963 375.39846 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 84 13.389030 93.958023 0.27599314 0.77405875 421.23936 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 109 26.034445 86.654600 0.31918204 0.79346030 391.01915 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 114 24.334186 74.078703 0.39293090 0.77882289 460.21710 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 131 15.824065 89.337733 0.33601905 0.77401127 452.80091 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 153 14.629936 89.895101 0.24015238 0.83656579 490.20328 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 176 15.745842 107.64235 0.24472617 0.81663931 406.09663 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 180 23.155283 101.86991 0.27914866 0.78617377 443.01455 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 184 20.185463 112.62468 0.28070128 0.76699685 431.13166 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 185 25.194549 104.70089 0.25825335 0.85507244 425.22693 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 186 22.273951 91.388310 0.32962989 0.81755406 418.80190 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 201 15.788671 75.418780 0.17914340 0.86284188 428.62305 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 204 8.7151978 51.590575 0.26317662 0.90523461 472.99429 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 206 8.8678380 80.117666 0.31445035 0.84952879 407.30750 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 213 14.171290 115.61882 0.33157559 0.79843119 479.33327 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 235 18.832009 71.347957 0.32599374 0.99172213 414.19701 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 257 25.704384 80.708947 0.28284951 0.86823714 441.51874 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 259 20.137660 140.51337 0.23959520 0.83478198 410.41307 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 260 19.135676 117.12411 0.21197266 0.74447887 449.64834 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 261 23.677467 117.05735 0.27258971 0.75926977 478.72637 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 265 14.377729 65.826297 0.25102620 0.84003313 467.48879 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 271 17.710996 76.270124 0.31921349 0.79786902 430.47784 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 276 15.109892 74.694860 0.20457247 0.75718171 433.33624 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 281 11.285759 75.282738 0.22689182 0.92366713 396.86595 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 284 19.535131 104.88070 0.26950975 0.79409154 403.00466 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 307 8.7200281 50.660034 0.18877431 0.95547310 417.97687 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 4 308 10.767997 100.19090 0.27375380 0.85717192 434.22701 LOCATESKYLINES_2: sdR-b2-00034587.fit: comb1 l,chi^2/dof,fit: 4 10.085487 0.00052343865 0.26838307 0.82722793 0.99249473 LOCATESKYLINES_2: sdR-b2-00034587.fit: sigma-clipped to 274 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034587.fit: comb2 l,chi^2/dof,fit: 4 1.7368838 -0.085293522 0.27036194 0.91854405 1.0560934 LOCATESKYLINES_2: sdR-b2-00034587.fit: kept 274 of 315 points LOCATESKYLINES_2: sdR-b2-00034587.fit: offset, refoff, sigma: 0.2953950.2703620.009875 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 0 7.6871058 83.459211 0.23083687 0.76527450 290.90469 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 6 18.145256 52.256335 0.29709862 0.88212988 269.20412 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 13 6.0514565 12.607497 0.39364690 0.77400697 243.40373 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 18 26.129931 72.639706 0.27900595 0.75343267 309.70355 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 26 30.304508 98.533785 0.16247885 0.72930991 296.94397 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 52 25.269522 54.831079 0.32125892 0.74135400 309.50396 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 60 27.674308 99.231916 0.35986937 0.84809248 262.11862 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 63 31.093464 90.069586 0.29441160 0.79637369 280.95262 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 82 23.461799 105.17082 0.20629128 0.86787047 263.52273 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 84 2.6252734 77.168152 0.24188385 0.74453788 247.29664 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 109 23.899646 88.917371 0.28943740 0.71280658 242.46061 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 114 5.9352876 33.564350 0.31638019 0.87358791 296.26932 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 131 9.7202036 59.482435 0.23216230 0.80994437 286.63884 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 153 21.241008 94.498467 0.16229563 0.73778964 269.32675 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 176 19.076435 89.556349 0.16558656 0.85999879 267.51584 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 180 24.158916 58.409498 0.20964743 0.91425212 298.61231 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 184 9.4778319 90.042642 0.30489616 0.82434596 256.57581 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 185 20.294017 74.177162 0.28735328 0.78281017 308.02664 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 186 10.241353 66.264178 0.18978968 0.74134584 318.97665 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 201 33.486512 83.670599 0.34401784 0.85901067 248.73148 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 204 22.705881 91.836044 0.19667807 0.72059071 234.91589 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 206 18.979699 72.154814 0.29239096 0.85226550 228.35493 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 213 15.497548 115.57449 0.28609086 0.77932436 276.77052 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 235 32.131426 93.069160 0.27124978 0.79600526 283.83210 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 257 20.260596 72.609311 0.33029802 0.69867426 327.24833 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 259 14.524281 119.13326 0.22829563 0.72276898 300.63730 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 260 8.8985906 70.098610 0.24646635 0.76575220 327.98440 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 261 6.8202497 66.289209 0.27646841 0.92564727 308.64475 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 265 32.663130 72.699857 0.34465311 0.81000736 267.73475 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 271 11.109327 56.786526 0.21542741 0.82485033 287.05487 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 276 9.5014499 40.044556 0.21975789 0.82731711 275.26114 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 281 20.274837 78.129760 0.16623901 0.80589470 251.19959 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 284 11.538971 73.117669 0.29622482 0.84493703 282.96116 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 307 21.504678 78.808623 0.14713056 0.69750376 265.08498 LOCATESKYLINES_2: sdR-b2-00034587.fit: l,f,chi^2/dof,c: 5 308 13.203712 103.04714 0.26227505 0.72973213 278.32622 LOCATESKYLINES_2: sdR-b2-00034587.fit: comb1 l,chi^2/dof,fit: 5 10.411400 0.00026595206 0.25225642 0.80000000 0.99034711 LOCATESKYLINES_2: sdR-b2-00034587.fit: sigma-clipped to 280 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034587.fit: comb2 l,chi^2/dof,fit: 5 1.1961766 -0.11331581 0.25723053 0.90527960 1.0856691 LOCATESKYLINES_2: sdR-b2-00034587.fit: kept 280 of 315 points LOCATESKYLINES_2: sdR-b2-00034587.fit: offset, refoff, sigma: 0.2822630.2572310.013561 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 6075.8578 DOF = 1861 P(0) = -2.22070 P(1) = 0.00000 P(2) = -2.22070 P(3) = -2.22070 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 5954.8900 DOF = 1861 P(0) = -5.22163 P(1) = 0.000178903 P(2) = 8.15022 P(3) = 65.7369 P(4) = 0.000130000 P(5) = 0.264622 Iter 3 CHI-SQUARE = 5505.1026 DOF = 1861 P(0) = -4.21174 P(1) = 0.000101773 P(2) = 7.93251 P(3) = 43.3972 P(4) = 0.000130000 P(5) = 0.256984 Iter 4 CHI-SQUARE = 5241.3830 DOF = 1861 P(0) = -6.07727 P(1) = -4.87019E-05 P(2) = 10.1394 P(3) = 52.4907 P(4) = 0.000130000 P(5) = 0.279473 Iter 5 CHI-SQUARE = 5181.0166 DOF = 1861 P(0) = -5.31498 P(1) = -1.72631E-05 P(2) = 11.3783 P(3) = 66.6380 P(4) = 0.000130000 P(5) = 0.298407 Iter 6 CHI-SQUARE = 5180.2185 DOF = 1861 P(0) = -5.05757 P(1) = -2.32936E-05 P(2) = 12.4908 P(3) = 67.4114 P(4) = 0.000130000 P(5) = 0.241021 Iter 7 CHI-SQUARE = 5178.9195 DOF = 1861 P(0) = -5.24418 P(1) = -2.08435E-05 P(2) = 11.0389 P(3) = 67.2133 P(4) = 0.000130000 P(5) = 0.259525 Iter 8 CHI-SQUARE = 5178.8589 DOF = 1861 P(0) = -5.31491 P(1) = -2.27806E-05 P(2) = 11.7970 P(3) = 67.3467 P(4) = 0.000130000 P(5) = 0.261677 Iter 9 CHI-SQUARE = 5178.8247 DOF = 1861 P(0) = -5.30988 P(1) = -2.20516E-05 P(2) = 11.5897 P(3) = 67.3334 P(4) = 0.000130000 P(5) = 0.262885 Iter 10 CHI-SQUARE = 5178.8194 DOF = 1861 P(0) = -5.30708 P(1) = -2.23368E-05 P(2) = 11.5875 P(3) = 67.3271 P(4) = 0.000130000 P(5) = 0.263699 Iter 11 CHI-SQUARE = 5178.8178 DOF = 1861 P(0) = -5.30590 P(1) = -2.24508E-05 P(2) = 11.5893 P(3) = 67.3245 P(4) = 0.000130000 P(5) = 0.264162 Iter 12 CHI-SQUARE = 5178.8142 DOF = 1861 P(0) = -5.30579 P(1) = -2.24508E-05 P(2) = 11.5878 P(3) = 67.3213 P(4) = 0.000130000 P(5) = 0.264686 Iter 13 CHI-SQUARE = 5178.8083 DOF = 1861 P(0) = -5.30646 P(1) = -2.23772E-05 P(2) = 11.5741 P(3) = 67.3147 P(4) = 0.000130000 P(5) = 0.265537 Iter 14 CHI-SQUARE = 5178.8041 DOF = 1861 P(0) = -5.31618 P(1) = -2.21463E-05 P(2) = 11.5053 P(3) = 67.2997 P(4) = 0.000130000 P(5) = 0.266065 Iter 15 CHI-SQUARE = 5178.8035 DOF = 1861 P(0) = -5.30765 P(1) = -2.19229E-05 P(2) = 11.4814 P(3) = 67.3036 P(4) = 0.000130000 P(5) = 0.265609 Iter 16 CHI-SQUARE = 5178.8019 DOF = 1861 P(0) = -5.30659 P(1) = -2.18565E-05 P(2) = 11.4399 P(3) = 67.2884 P(4) = 0.000130000 P(5) = 0.266427 Iter 17 CHI-SQUARE = 5178.8018 DOF = 1861 P(0) = -5.30634 P(1) = -2.19157E-05 P(2) = 11.4419 P(3) = 67.2880 P(4) = 0.000130000 P(5) = 0.266402 Iter 18 CHI-SQUARE = 5178.8018 DOF = 1861 P(0) = -5.30611 P(1) = -2.18892E-05 P(2) = 11.4415 P(3) = 67.2872 P(4) = 0.000130000 P(5) = 0.266454 Iter 19 CHI-SQUARE = 5178.8018 DOF = 1861 P(0) = -5.30611 P(1) = -2.18891E-05 P(2) = 11.4415 P(3) = 67.2872 P(4) = 0.000130000 P(5) = 0.266454 FITMOONPLUSLINE: sdR-b2-00034587.fit: fit coeffs: -5.3061100 -2.1889149e-05 11.441484 67.287237 0.00013000000 0.26645387 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034587.fit: changing 4046.58 correction from 0.105099 to 0.19787411 pixels, err= 0.070035347 Iter 1 CHI-SQUARE = 14167.042 DOF = 3853 P(0) = 17.2329 P(1) = 0.00000 P(2) = 17.2329 P(3) = 17.2329 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 9435.6501 DOF = 3853 P(0) = 28.8942 P(1) = -0.000114952 P(2) = 14.3154 P(3) = 206.906 P(4) = 0.000130000 P(5) = 0.00355170 Iter 3 CHI-SQUARE = 7775.5281 DOF = 3853 P(0) = 29.6479 P(1) = -2.59554E-05 P(2) = 17.6605 P(3) = 179.599 P(4) = 0.000130000 P(5) = 0.00618974 Iter 4 CHI-SQUARE = 7670.8954 DOF = 3853 P(0) = 28.7574 P(1) = -1.51859E-05 P(2) = 14.1399 P(3) = 207.641 P(4) = 0.000130000 P(5) = 0.00279217 Iter 5 CHI-SQUARE = 7669.8979 DOF = 3853 P(0) = 28.9311 P(1) = -1.74220E-05 P(2) = 14.1466 P(3) = 207.903 P(4) = 0.000130000 P(5) = 0.00388437 Iter 6 CHI-SQUARE = 7669.8733 DOF = 3853 P(0) = 28.8859 P(1) = -1.72479E-05 P(2) = 14.1342 P(3) = 207.905 P(4) = 0.000130000 P(5) = 0.00385079 Iter 6 CHI-SQUARE = 7669.8733 DOF = 3853 P(0) = 28.8859 P(1) = -1.72479E-05 P(2) = 14.1342 P(3) = 207.905 P(4) = 0.000130000 P(5) = 0.00385079 FITMOONPLUSLINE: sdR-b2-00034587.fit: fit coeffs: 28.885906 -1.7247909e-05 14.134189 207.90504 0.00013000000 0.0038507870 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034587.fit: changing 4358.33 correction from 0.179680 to 0.15899420 pixels, err= 0.023627404 Iter 1 CHI-SQUARE = 11975.553 DOF = 1289 P(0) = 41.1644 P(1) = 0.00000 P(2) = 41.1644 P(3) = 41.1644 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 7052.5653 DOF = 1289 P(0) = 58.3530 P(1) = -6.77160E-05 P(2) = 109.678 P(3) = 228.479 P(4) = 0.000130000 P(5) = 0.598000 Iter 3 CHI-SQUARE = 6506.1361 DOF = 1289 P(0) = 64.5576 P(1) = -6.79363E-06 P(2) = 109.113 P(3) = 217.800 P(4) = 0.000130000 P(5) = 0.698799 Iter 4 CHI-SQUARE = 6435.0009 DOF = 1289 P(0) = 60.6975 P(1) = -6.37809E-06 P(2) = 122.557 P(3) = 222.958 P(4) = 0.000130000 P(5) = 0.667491 Iter 5 CHI-SQUARE = 6414.7597 DOF = 1289 P(0) = 57.4671 P(1) = -8.98215E-06 P(2) = 112.374 P(3) = 227.831 P(4) = 0.000130000 P(5) = 0.613606 Iter 6 CHI-SQUARE = 6412.0225 DOF = 1289 P(0) = 58.5894 P(1) = -9.67683E-06 P(2) = 108.795 P(3) = 228.630 P(4) = 0.000130000 P(5) = 0.629727 Iter 7 CHI-SQUARE = 6411.1842 DOF = 1289 P(0) = 58.5953 P(1) = -9.85395E-06 P(2) = 107.927 P(3) = 228.694 P(4) = 0.000130000 P(5) = 0.609301 Iter 8 CHI-SQUARE = 6410.4334 DOF = 1289 P(0) = 58.7058 P(1) = -1.02458E-05 P(2) = 106.722 P(3) = 228.823 P(4) = 0.000130000 P(5) = 0.598700 Iter 9 CHI-SQUARE = 6409.4610 DOF = 1289 P(0) = 58.0667 P(1) = -1.05518E-05 P(2) = 105.217 P(3) = 228.779 P(4) = 0.000130000 P(5) = 0.600184 Iter 10 CHI-SQUARE = 6409.2821 DOF = 1289 P(0) = 58.0182 P(1) = -1.06591E-05 P(2) = 104.598 P(3) = 228.892 P(4) = 0.000130000 P(5) = 0.598860 Iter 11 CHI-SQUARE = 6409.0065 DOF = 1289 P(0) = 58.0865 P(1) = -1.07652E-05 P(2) = 104.173 P(3) = 229.007 P(4) = 0.000130000 P(5) = 0.596445 Iter 12 CHI-SQUARE = 6408.6959 DOF = 1289 P(0) = 58.3848 P(1) = -1.09422E-05 P(2) = 103.700 P(3) = 229.164 P(4) = 0.000130000 P(5) = 0.585405 Iter 13 CHI-SQUARE = 6408.4909 DOF = 1289 P(0) = 58.4770 P(1) = -1.11509E-05 P(2) = 103.195 P(3) = 229.180 P(4) = 0.000130000 P(5) = 0.576224 Iter 14 CHI-SQUARE = 6408.1373 DOF = 1289 P(0) = 58.4651 P(1) = -1.13750E-05 P(2) = 102.542 P(3) = 229.196 P(4) = 0.000130000 P(5) = 0.573706 Iter 15 CHI-SQUARE = 6407.5805 DOF = 1289 P(0) = 58.1436 P(1) = -1.15486E-05 P(2) = 101.706 P(3) = 229.143 P(4) = 0.000130000 P(5) = 0.595391 Iter 16 CHI-SQUARE = 6407.4111 DOF = 1289 P(0) = 58.2010 P(1) = -1.19625E-05 P(2) = 100.320 P(3) = 229.322 P(4) = 0.000130000 P(5) = 0.633207 Iter 17 CHI-SQUARE = 6406.7930 DOF = 1289 P(0) = 57.8740 P(1) = -1.23510E-05 P(2) = 98.8134 P(3) = 229.436 P(4) = 0.000130000 P(5) = 0.579644 Iter 18 CHI-SQUARE = 6406.0607 DOF = 1289 P(0) = 58.3060 P(1) = -1.27605E-05 P(2) = 97.7042 P(3) = 229.650 P(4) = 0.000130000 P(5) = 0.576591 Iter 19 CHI-SQUARE = 6405.3929 DOF = 1289 P(0) = 58.1184 P(1) = -1.31965E-05 P(2) = 96.1651 P(3) = 229.689 P(4) = 0.000130000 P(5) = 0.595701 Iter 20 CHI-SQUARE = 6405.2436 DOF = 1289 P(0) = 58.3444 P(1) = -1.34146E-05 P(2) = 95.4191 P(3) = 229.807 P(4) = 0.000130000 P(5) = 0.605312 Iter 21 CHI-SQUARE = 6405.1475 DOF = 1289 P(0) = 58.1432 P(1) = -1.38554E-05 P(2) = 94.0072 P(3) = 229.894 P(4) = 0.000130000 P(5) = 0.570215 Iter 22 CHI-SQUARE = 6404.8708 DOF = 1289 P(0) = 58.3524 P(1) = -1.40958E-05 P(2) = 93.2210 P(3) = 230.012 P(4) = 0.000130000 P(5) = 0.577995 Iter 23 CHI-SQUARE = 6404.6632 DOF = 1289 P(0) = 58.3451 P(1) = -1.42934E-05 P(2) = 92.4849 P(3) = 230.020 P(4) = 0.000130000 P(5) = 0.615474 Iter 24 CHI-SQUARE = 6404.4382 DOF = 1289 P(0) = 58.1167 P(1) = -1.45082E-05 P(2) = 91.5764 P(3) = 230.069 P(4) = 0.000130000 P(5) = 0.615457 Iter 25 CHI-SQUARE = 6404.3151 DOF = 1289 P(0) = 58.1177 P(1) = -1.47031E-05 P(2) = 90.9677 P(3) = 230.142 P(4) = 0.000130000 P(5) = 0.590802 Iter 26 CHI-SQUARE = 6404.1929 DOF = 1289 P(0) = 58.0557 P(1) = -1.49180E-05 P(2) = 90.1937 P(3) = 230.182 P(4) = 0.000130000 P(5) = 0.600960 Iter 27 CHI-SQUARE = 6404.1511 DOF = 1289 P(0) = 58.0172 P(1) = -1.50843E-05 P(2) = 89.5773 P(3) = 230.229 P(4) = 0.000130000 P(5) = 0.601289 Iter 28 CHI-SQUARE = 6404.1368 DOF = 1289 P(0) = 58.1005 P(1) = -1.50476E-05 P(2) = 89.6127 P(3) = 230.242 P(4) = 0.000130000 P(5) = 0.599900 Iter 29 CHI-SQUARE = 6404.1183 DOF = 1289 P(0) = 58.1243 P(1) = -1.50918E-05 P(2) = 89.5485 P(3) = 230.248 P(4) = 0.000130000 P(5) = 0.602308 Iter 30 CHI-SQUARE = 6404.1016 DOF = 1289 P(0) = 58.1922 P(1) = -1.51801E-05 P(2) = 89.3570 P(3) = 230.270 P(4) = 0.000130000 P(5) = 0.602373 Iter 31 CHI-SQUARE = 6404.0713 DOF = 1289 P(0) = 58.1545 P(1) = -1.52731E-05 P(2) = 89.0532 P(3) = 230.279 P(4) = 0.000130000 P(5) = 0.601047 Iter 32 CHI-SQUARE = 6404.0636 DOF = 1289 P(0) = 58.0513 P(1) = -1.53590E-05 P(2) = 88.6772 P(3) = 230.293 P(4) = 0.000130000 P(5) = 0.601429 Iter 33 CHI-SQUARE = 6404.0379 DOF = 1289 P(0) = 58.1232 P(1) = -1.54502E-05 P(2) = 88.4243 P(3) = 230.339 P(4) = 0.000130000 P(5) = 0.599275 Iter 34 CHI-SQUARE = 6404.0256 DOF = 1289 P(0) = 58.1583 P(1) = -1.55416E-05 P(2) = 88.1650 P(3) = 230.356 P(4) = 0.000130000 P(5) = 0.599765 Iter 35 CHI-SQUARE = 6404.0170 DOF = 1289 P(0) = 58.0665 P(1) = -1.56294E-05 P(2) = 87.8046 P(3) = 230.363 P(4) = 0.000130000 P(5) = 0.601059 Iter 36 CHI-SQUARE = 6404.0012 DOF = 1289 P(0) = 58.1242 P(1) = -1.57205E-05 P(2) = 87.5362 P(3) = 230.396 P(4) = 0.000130000 P(5) = 0.603179 Iter 37 CHI-SQUARE = 6404.0012 DOF = 1289 P(0) = 58.1196 P(1) = -1.57191E-05 P(2) = 87.5142 P(3) = 230.392 P(4) = 0.000130000 P(5) = 0.603153 Iter 37 CHI-SQUARE = 6404.0012 DOF = 1289 P(0) = 58.1196 P(1) = -1.57191E-05 P(2) = 87.5142 P(3) = 230.392 P(4) = 0.000130000 P(5) = 0.603153 FITMOONPLUSLINE: sdR-b2-00034587.fit: fit coeffs: 58.119585 -1.5719128e-05 87.514154 230.39213 0.00013000000 0.60315293 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034587.fit: changing 5460.94 correction from 0.208915 to 0.16221331 pixels, err= 0.023484967 LOCATESKYLINES_2: sdR-b2-00034587.fit: applying -0.01 pixel correction to 0.30 0.28 0.61 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 FITMEANX: sdR-b2-00034587.fit: In skyline number 0 std-dev is 0.26645653 pix FITMEANX: sdR-b2-00034587.fit: In skyline number 1 std-dev is 0.058838755 pix FITMEANX: sdR-b2-00034587.fit: In skyline number 2 std-dev is 0.067594289 pix FITMEANX: sdR-b2-00034587.fit: In skyline number 3 std-dev is 0.014293554 pix FITMEANX: sdR-b2-00034587.fit: In skyline number 4 std-dev is 0.044312778 pix FITMEANX: sdR-b2-00034587.fit: In skyline number 5 std-dev is 0.060316376 pix LOCATESKYLINES_2: sdR-b2-00034587.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034587.fit: In sky feature at 4046.5600 coadded std-dev is 0.0700353 pix LOCATESKYLINES_2: sdR-b2-00034587.fit: In sky feature at 4358.3300 coadded std-dev is 0.0236274 pix LOCATESKYLINES_2: sdR-b2-00034587.fit: In sky feature at 5460.9400 coadded std-dev is 0.0234850 pix LOCATESKYLINES_2: sdR-b2-00034587.fit: In sky feature at 5577.3390 coadded std-dev is 0.00224751 pix LOCATESKYLINES_2: sdR-b2-00034587.fit: In sky feature at 5889.9500 coadded std-dev is 0.00987489 pix LOCATESKYLINES_2: sdR-b2-00034587.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034587.fit: Median arc shift = 0.19894336 pix LOCATESKYLINES_2: sdR-b2-00034587.fit: Dispersion in arc shift = 0.045254857 pix LOCATESKYLINES_2: sdR-b2-00034587.fit: Maximum sky-line shift is 0.25446996 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Number of sky fibers = 35 ROW NITER SIG(med) CHI^2 .0000 2 0.85 0.10 .0001 3 0.85 0.92 .0002 6 0.85 0.76 .0003 2 0.85 0.57 .0004 6 0.85 0.66 .0005 8 0.85 0.78 .0006 2 0.85 0.14 .0007 7 0.85 0.85 .0008 2 0.85 0.65 .0009 6 0.85 1.34 .0010 3 0.85 0.95 .0011 10 0.85 0.45 .0012 10 0.85 0.39 .0013 2 0.85 0.17 .0014 3 0.85 1.52 .0015 6 0.85 0.80 .0016 9 0.85 0.61 .0017 11 0.85 0.92 .0018 2 0.85 0.11 .0019 1 0.85 0.51 .0020 7 0.83 0.87 .0021 1 0.83 0.35 .0022 9 0.83 0.55 .0023 13 0.83 0.57 .0024 2 0.83 0.87 .0025 1 0.83 0.83 .0026 3 0.83 0.19 .0027 10 0.83 0.59 .0028 4 0.83 0.83 .0029 4 0.83 1.10 .0030 1 0.83 0.77 .0031 3 0.83 0.87 .0032 10 0.83 0.53 .0033 3 0.83 1.52 .0034 10 0.83 0.62 .0035 5 0.83 1.09 .0036 5 0.83 0.94 .0037 6 0.83 0.93 .0038 4 0.83 0.92 .0039 3 0.83 0.90 .0040 9 0.83 0.56 .0041 3 0.83 1.11 .0042 3 0.83 0.70 .0043 2 0.83 0.85 .0044 1 0.83 0.79 .0045 8 0.83 0.66 .0046 11 0.83 0.46 .0047 5 0.83 0.77 .0048 1 0.83 0.65 .0049 2 0.83 0.67 .0050 3 0.83 0.88 .0051 10 0.83 0.48 .0052 3 0.83 0.10 .0053 4 0.83 0.72 .0054 9 0.83 0.71 .0055 9 0.83 0.59 .0056 5 0.83 0.75 .0057 3 0.83 1.17 .0058 4 0.83 0.79 .0059 2 0.83 0.56 .0060 2 0.82 0.09 .0061 3 0.82 0.98 .0062 3 0.82 1.20 .0063 2 0.82 0.16 .0064 12 0.82 0.54 .0065 4 0.82 0.82 .0066 5 0.82 1.00 .0067 5 0.82 0.88 .0068 3 0.82 0.84 .0069 9 0.82 0.55 .0070 11 0.82 0.41 .0071 2 0.82 0.84 .0072 5 0.82 0.94 .0073 4 0.82 0.86 .0074 1 0.82 0.74 .0075 5 0.82 0.71 .0076 12 0.82 0.75 .0077 6 0.82 0.92 .0078 7 0.82 0.81 .0079 1 0.82 0.75 .0080 9 0.82 0.84 .0081 3 0.82 0.74 .0082 2 0.82 0.13 .0083 3 0.82 1.10 .0084 2 0.82 0.12 .0085 1 0.82 0.71 .0086 10 0.82 0.67 .0087 3 0.82 1.14 .0088 5 0.82 0.87 .0089 3 0.82 0.83 .0090 4 0.82 0.99 .0091 3 0.82 0.52 .0092 3 0.82 1.02 .0093 3 0.82 1.29 .0094 2 0.82 0.80 .0095 3 0.82 1.59 .0096 6 0.82 1.11 .0097 9 0.82 0.62 .0098 4 0.82 1.14 .0099 2 0.82 0.75 .0100 3 0.82 0.86 .0101 9 0.82 0.45 .0102 10 0.82 0.56 .0103 2 0.82 0.88 .0104 5 0.82 0.63 .0105 12 0.82 0.58 .0106 3 0.82 0.74 .0107 8 0.82 0.70 .0108 2 0.82 0.86 .0109 2 0.82 0.10 .0110 1 0.82 0.72 .0111 3 0.82 0.78 .0112 10 0.82 0.43 .0113 3 0.82 0.85 .0114 2 0.82 0.14 .0115 5 0.82 1.08 .0116 2 0.82 1.07 .0117 9 0.82 0.57 .0118 3 0.82 0.74 .0119 4 0.82 0.82 .0120 3 0.80 0.90 .0121 3 0.80 0.52 .0122 7 0.80 0.55 .0123 3 0.80 1.10 .0124 1 0.80 0.79 .0125 4 0.80 0.71 .0126 1 0.80 0.76 .0127 3 0.80 0.81 .0128 10 0.80 0.45 .0129 4 0.80 0.93 .0130 9 0.80 0.98 .0131 3 0.80 0.08 .0132 5 0.80 0.70 .0133 6 0.80 0.96 .0134 6 0.80 0.74 .0135 3 0.80 0.84 .0136 1 0.80 0.45 .0137 3 0.80 0.80 .0138 2 0.80 0.95 .0139 8 0.80 0.78 .0140 2 0.82 0.72 .0141 8 0.82 1.14 .0142 9 0.82 0.81 .0143 2 0.82 0.79 .0144 5 0.82 1.04 .0145 2 0.82 0.83 .0146 3 0.82 0.99 .0147 2 0.82 0.86 .0148 3 0.82 1.09 .0149 9 0.82 0.66 .0150 3 0.82 1.06 .0151 4 0.82 1.17 .0152 3 0.82 0.77 .0153 3 0.82 0.06 .0154 10 0.82 0.55 .0155 11 0.82 0.55 .0156 3 0.82 0.81 .0157 12 0.82 0.54 .0158 3 0.82 0.87 .0159 3 0.82 1.07 .0160 3 0.81 0.92 .0161 3 0.81 1.11 .0162 1 0.81 1.22 .0163 3 0.81 0.89 .0164 5 0.81 0.89 .0165 2 0.81 0.14 .0166 1 0.81 0.60 .0167 2 0.81 1.02 .0168 2 0.81 1.60 .0169 9 0.81 0.87 .0170 5 0.81 0.97 .0171 2 0.81 0.74 .0172 2 0.81 0.14 .0173 3 0.81 0.91 .0174 2 0.81 0.19 .0175 2 0.81 0.84 .0176 3 0.81 0.07 .0177 5 0.81 0.79 .0178 2 0.81 0.15 .0179 3 0.81 0.47 .0180 3 0.82 0.11 .0181 1 0.82 0.63 .0182 2 0.82 0.19 .0183 2 0.82 1.12 .0184 3 0.82 0.10 .0185 3 0.82 0.09 .0186 3 0.82 0.09 .0187 2 0.82 0.14 .0188 3 0.82 1.19 .0189 7 0.82 0.80 .0190 2 0.82 0.17 .0191 2 0.82 0.15 .0192 2 0.82 0.14 .0193 2 0.82 0.24 .0194 2 0.82 0.17 .0195 2 0.82 0.17 .0196 2 0.82 0.26 .0197 2 0.82 1.49 .0198 2 0.82 0.14 .0199 2 0.82 0.13 .0200 2 0.82 0.85 .0201 2 0.82 0.11 .0202 9 0.82 0.54 .0203 2 0.82 0.86 .0204 2 0.82 0.11 .0205 11 0.82 0.54 .0206 2 0.82 0.10 .0207 9 0.82 0.84 .0208 4 0.82 0.77 .0209 11 0.82 0.78 .0210 3 0.82 1.15 .0211 4 0.82 1.10 .0212 6 0.82 0.97 .0213 3 0.82 0.09 .0214 3 0.82 0.87 .0215 7 0.82 0.94 .0216 10 0.82 0.39 .0217 10 0.82 0.50 .0218 2 0.82 0.51 .0219 2 0.82 0.70 .0220 5 0.81 0.91 .0221 8 0.81 0.93 .0222 4 0.81 0.98 .0223 10 0.81 0.54 .0224 4 0.81 0.90 .0225 2 0.81 0.77 .0226 6 0.81 1.21 .0227 1 0.81 0.41 .0228 10 0.81 0.68 .0229 4 0.81 0.92 .0230 2 0.81 0.76 .0231 5 0.81 0.85 .0232 1 0.81 0.29 .0233 4 0.81 0.90 .0234 3 0.81 0.99 .0235 3 0.81 0.10 .0236 3 0.81 1.17 .0237 2 0.81 1.22 .0238 11 0.81 0.45 .0239 2 0.81 0.15 .0240 8 0.82 0.48 .0241 0 0.82 0.00 .0242 8 0.82 0.54 .0243 4 0.82 1.73 .0244 5 0.82 1.22 .0245 3 0.82 1.26 .0246 2 0.82 0.79 .0247 4 0.82 1.00 .0248 4 0.82 0.94 .0249 4 0.82 0.88 .0250 3 0.82 0.99 .0251 5 0.82 1.23 .0252 3 0.82 0.91 .0253 4 0.82 0.87 .0254 1 0.82 0.32 .0255 4 0.82 1.09 .0256 1 0.82 0.84 .0257 2 0.82 0.09 .0258 3 0.82 0.70 .0259 2 0.82 0.13 .0260 2 0.81 0.13 .0261 3 0.81 0.09 .0262 8 0.81 0.87 .0263 0 0.81 0.00 .0264 6 0.81 1.06 .0265 2 0.81 0.12 .0266 6 0.81 0.77 .0267 3 0.81 1.10 .0268 3 0.81 1.38 .0269 4 0.81 1.01 .0270 3 0.81 1.12 .0271 3 0.81 0.10 .0272 4 0.81 1.10 .0273 6 0.81 1.49 .0274 4 0.81 0.81 .0275 9 0.81 0.62 .0276 2 0.81 0.15 .0277 5 0.81 1.17 .0278 3 0.81 2.02 .0279 4 0.81 1.56 .0280 3 0.82 0.91 .0281 2 0.82 0.14 .0282 4 0.82 0.88 .0283 2 0.82 0.93 .0284 2 0.82 0.13 .0285 5 0.82 0.88 .0286 2 0.82 0.74 .0287 3 0.82 0.60 .0288 2 0.82 0.86 .0289 3 0.82 0.85 .0290 5 0.82 0.84 .0291 6 0.82 1.09 .0292 0 0.82 0.00 .0293 5 0.82 1.02 .0294 3 0.82 0.80 .0295 2 0.82 0.73 .0296 3 0.82 0.93 .0297 4 0.82 0.95 .0298 8 0.82 0.72 .0299 4 0.82 1.05 .0300 3 0.83 1.21 .0301 9 0.83 0.84 .0302 4 0.83 0.84 .0303 11 0.83 0.44 .0304 4 0.83 1.61 .0305 2 0.83 0.85 .0306 3 0.83 0.80 .0307 2 0.83 0.14 .0308 2 0.83 0.10 .0309 3 0.83 0.95 .0310 3 0.83 1.04 .0311 0 0.83 0.00 .0312 10 0.83 0.80 .0313 6 0.83 0.86 .0314 3 0.83 0.94 .0315 7 0.83 1.00 .0316 8 0.83 1.28 .0317 3 0.83 0.95 .0318 3 0.83 1.00 .0319 5 0.83 0.76 EXTRACT_IMAGE: sdR-b2-00034587.fit: masked 1705 pixels SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 0 median sigma(arc)= 0.84861664 sigma(sky)= -734.18122 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 0 sigma^2(add)= 494563.91 +/- 1992385.8 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 1 median sigma(arc)= 0.84818052 sigma(sky)= -1382.5487 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 1 sigma^2(add)= 1888477.9 +/- 4595388.3 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 2 median sigma(arc)= 0.83068347 sigma(sky)= 1.0221066 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 2 sigma^2(add)= 0.36629098 +/- 0.19798647 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 3 median sigma(arc)= 0.82688643 sigma(sky)= -2.8953716 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 3 sigma^2(add)= 6.8903042 +/- 875497.57 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 4 median sigma(arc)= 0.87254420 sigma(sky)= 1.4123940 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 4 sigma^2(add)= 1.2167570 +/- 0.85459670 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 5 median sigma(arc)= 0.91749252 sigma(sky)= -251.19111 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Line # 5 sigma^2(add)= 78775.727 +/- 879200.01 SKYLINE_DISPERSION: sdR-b2-00034587.fit: Flexure sigma^2(add) = 0.17851728 +/- 0.22855027 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034587.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034587.fit: Heliocentric correction = 23.147115 km/s FITVACSET: sdR-b2-00034587.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034587.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034587.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034587.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034587.fit: Number of sky fibers = 34 SKYSUBTRACT: sdR-b2-00034587.fit: Airmass range = 1.20836 1.24962 SKYSUBTRACT: sdR-b2-00034587.fit: Discarding 0.00340361 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 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1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034587.fit: Median sky-residual chi2 = 1.93248 SKYSUBTRACT: sdR-b2-00034587.fit: Max sky-residual chi2 = 11.5344 EXTRACT_OBJECT: sdR-b2-00034587.fit: Calling skysubtract again; masked skyfibers 213 259 SKYSUBTRACT: sdR-b2-00034587.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034587.fit: Airmass range = 1.20836 1.24962 SKYSUBTRACT: sdR-b2-00034587.fit: Discarding 0.00357056 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 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1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 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1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 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1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 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1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 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1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034587.fit: Median sky-residual chi2 = 1.69638 SKYSUBTRACT: sdR-b2-00034587.fit: Max sky-residual chi2 = 12.8209 QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 7 = -30.8375 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 14 = -37.5562 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 19 = -13.9755 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 27 = 16.9831 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 53 = -24.2769 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 64 = -18.8927 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 83 = -13.7255 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 85 = -26.1583 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 110 = -24.3786 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 115 = -21.4191 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 154 = 21.0059 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 177 = 15.2866 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 181 = 11.3295 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 185 = 28.3810 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 186 = 11.2028 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 187 = 11.9825 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 236 = 11.7432 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 261 = 12.0594 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 262 = 13.5687 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 277 = -18.1040 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 308 = -11.4637 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Median sky-residual chi = 1.30731 QAPLOT_SKYSUB: sdR-b2-00034587.fit: Max sky-residual chi = 6.53461 at 6175.0230 Ang QAPLOT_SKYSUB: sdR-b2-00034587.fit: WARNING: Max sky-residual chi = 6.53461 at 6175.0230 Ang SKYSUBTRACT: sdR-b2-00034587.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034587.fit: Airmass range = 1.20836 1.24962 SKYSUBTRACT: sdR-b2-00034587.fit: Discarding 0.00357056 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 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of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034587.fit: Median sky-residual chi2 = 1.54008 SKYSUBTRACT: sdR-b2-00034587.fit: Max sky-residual chi2 = 11.4628 QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 1 = 28.1089 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 7 = -11.6098 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 14 = -18.7611 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 27 = 31.6426 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 53 = -14.9005 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 64 = -11.3187 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 83 = -10.0798 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 85 = -21.8474 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 110 = -23.8326 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 115 = -22.0257 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 154 = 16.9965 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 185 = 22.0911 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 202 = -14.4056 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 277 = -21.6246 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Warning: Median sky-sub flux in sky fiber 308 = -11.1428 electrons QAPLOT_SKYSUB: sdR-b2-00034587.fit: Median sky-residual chi = 1.24939 QAPLOT_SKYSUB: sdR-b2-00034587.fit: Max sky-residual chi = 5.66699 at 6175.0230 Ang QAPLOT_SKYSUB: sdR-b2-00034587.fit: WARNING: Max sky-residual chi = 5.66699 at 6175.0230 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b2-00034587.fit: Airmass range = 1.21 1.25 QAPLOT_SKYLINE: sdR-b2-00034587.fit: Flux dispersion for skyline 4359.5 = 9.52 % QAPLOT_SKYLINE: sdR-b2-00034587.fit: Airmass range = 1.21 1.25 QAPLOT_SKYLINE: sdR-b2-00034587.fit: Flux dispersion for skyline 5578.9 = 2.34 % SPADD_GUIDERINFO: sdR-b2-00034587.fit: Number of guider frames = 32 SPREDUCE: sdR-b2-00034587.fit: Elapsed time = 182. seconds SPREDUCE: sdR-b2-00034588.fit: Reading object sdR-b2-00034588.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034588.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034588.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034588.fit: Measured read-noise in DN for amp# 2 = 3.77963 SDSSPROC: sdR-b2-00034588.fit: Measured bias value in DN for amp# 2 = 1234.09 SDSSPROC: sdR-b2-00034588.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034588.fit: Amp #2 Number of pix below bias-5*sigma= 1215. DN is 0 SDSSPROC: sdR-b2-00034588.fit: Measured read-noise in DN for amp# 3 = 3.35313 SDSSPROC: sdR-b2-00034588.fit: Measured bias value in DN for amp# 3 = 1204.79 SDSSPROC: sdR-b2-00034588.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034588.fit: Amp #3 Number of pix below bias-5*sigma= 1188. DN is 0 SDSSPROC: sdR-b2-00034588.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034588.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034588.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034588.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034588.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034588.fit: Science 25-th-percentile = 399.871 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b2-00034588.fit: Whopping fibers: 5 12 14 23 27 32 34 40 46 64 66 70 76 80 86 96 102 105 112 130 132 142 149 154 157 197 205 207 209 216 223 226 238 245 251 262 275 278 293 303 312 316 EXTRACT_OBJECT: sdR-b2-00034588.fit: Median counts in all fibers = 11711.7 EXTRACT_OBJECT: sdR-b2-00034588.fit: Number of bright fibers = 42 EXTRACT_OBJECT: sdR-b2-00034588.fit: Sky fiber median 623.956 EXTRACT_OBJECT: sdR-b2-00034588.fit: 5% and 95% count levels 599.592 31065.1 EXTRACT_OBJECT: sdR-b2-00034588.fit: WARNING: Disable whopping terms sdR-b2-00034588.fit MATCH_TRACE: sdR-b2-00034588.fit: Iteration: 0 Pixels Rejected: 19520 Finished? 0 MATCH_TRACE: sdR-b2-00034588.fit: Iteration: 1 Pixels Rejected: 232 Finished? 0 MATCH_TRACE: sdR-b2-00034588.fit: Iteration: 2 Pixels Rejected: 25 Finished? 0 MATCH_TRACE: sdR-b2-00034588.fit: Iteration: 3 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: sdR-b2-00034588.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b2-00034588.fit: Shifting traces by match_trace 0.0660400 EXTRACT_OBJECT: sdR-b2-00034588.fit: Extracting frame sdR-b2-00034588.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034588.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 3 0.92 2.23 .0001 2 0.92 1.99 .0002 3 0.92 2.38 .0003 3 0.92 2.15 .0004 2 0.91 2.26 .0005 3 0.91 2.10 .0006 2 0.91 1.94 .0007 2 0.91 2.05 .0008 2 0.91 2.01 .0009 2 0.91 2.14 .0010 1 0.91 2.18 .0011 3 0.91 2.07 .0012 3 0.91 2.14 .0013 3 0.91 2.28 .0014 3 0.91 2.09 .0015 1 0.91 2.17 .0016 2 0.91 2.08 .0017 3 0.91 2.11 .0018 3 0.91 2.19 .0019 1 0.91 1.99 .0020 1 0.91 2.05 .0021 1 0.91 1.97 .0022 1 0.91 2.04 .0023 3 0.91 1.85 .0024 4 0.91 2.03 .0025 2 0.91 2.07 .0026 2 0.91 1.99 .0027 2 0.91 2.09 .0028 2 0.91 1.88 .0029 2 0.91 1.94 .0030 2 0.91 1.92 .0031 2 0.91 2.00 .0032 3 0.91 1.99 .0033 3 0.91 1.86 .0034 3 0.91 1.96 .0035 4 0.91 2.02 .0036 2 0.91 2.02 .0037 2 0.91 1.82 .0038 1 0.91 1.92 .0039 1 0.91 1.87 .0040 1 0.91 1.95 .0041 1 0.91 1.90 .0042 1 0.91 1.86 .0043 1 0.91 1.92 .0044 1 0.91 1.80 .0045 1 0.91 1.76 .0046 1 0.91 2.03 .0047 2 0.91 1.96 .0048 1 0.91 1.77 .0049 1 0.91 1.77 .0050 1 0.91 1.81 .0051 1 0.91 1.90 .0052 2 0.91 1.82 .0053 3 0.91 1.75 .0054 3 0.91 1.95 .0055 4 0.91 1.81 .0056 2 0.91 1.83 .0057 5 0.91 1.74 .0058 3 0.91 1.74 .0059 1 0.91 1.70 .0060 1 0.91 1.73 .0061 1 0.91 1.77 .0062 3 0.91 1.59 .0063 2 0.91 1.73 .0064 2 0.91 1.66 .0065 3 0.91 1.96 .0066 3 0.91 1.67 .0067 2 0.91 1.85 .0068 3 0.91 1.76 .0069 3 0.91 1.76 .0070 3 0.91 1.71 .0071 4 0.91 1.64 .0072 3 0.91 1.50 .0073 3 0.91 1.61 .0074 2 0.91 1.57 .0075 1 0.91 1.69 .0076 2 0.91 1.73 .0077 4 0.91 1.58 .0078 3 0.91 1.61 .0079 3 0.91 1.55 .0080 3 0.91 1.63 .0081 2 0.91 1.67 .0082 2 0.91 1.71 .0083 5 0.91 1.79 .0084 1 0.91 1.56 .0085 3 0.91 1.58 .0086 1 0.91 1.81 .0087 2 0.91 1.70 .0088 1 0.91 1.87 .0089 1 0.91 1.71 .0090 1 0.91 2.08 .0091 4 0.91 1.96 .0092 2 0.91 2.01 .0093 1 0.91 1.94 .0094 1 0.91 2.00 .0095 3 0.91 2.06 .0096 2 0.91 2.02 .0097 2 0.91 2.18 .0098 2 0.91 2.15 .0099 2 0.91 2.19 .0100 2 0.91 2.48 .0101 2 0.91 2.17 .0102 2 0.91 2.26 .0103 2 0.91 2.36 .0104 1 0.91 2.23 .0105 1 0.91 2.30 .0106 2 0.91 2.30 .0107 1 0.91 2.38 .0108 2 0.91 2.46 .0109 3 0.91 2.34 .0110 2 0.91 2.44 .0111 3 0.91 2.69 .0112 2 0.91 2.43 .0113 2 0.91 3.29 .0114 1 0.91 2.50 .0115 2 0.91 2.35 .0116 1 0.91 2.33 .0117 2 0.91 2.34 .0118 2 0.91 2.41 .0119 3 0.91 2.66 .0120 2 0.91 2.67 .0121 3 0.91 2.42 .0122 1 0.91 2.58 .0123 1 0.91 2.56 .0124 1 0.91 2.48 .0125 2 0.91 2.50 .0126 2 0.91 2.44 .0127 1 0.91 2.41 .0128 2 0.91 2.58 .0129 2 0.91 2.81 .0130 3 0.91 2.72 .0131 1 0.91 2.59 .0132 1 0.91 2.51 .0133 1 0.91 2.61 .0134 2 0.91 2.45 .0135 1 0.91 2.52 .0136 2 0.91 2.46 .0137 3 0.91 2.58 .0138 2 0.91 2.80 .0139 4 0.91 2.42 .0140 2 0.91 2.64 .0141 1 0.91 2.48 .0142 3 0.91 2.72 .0143 4 0.91 2.65 .0144 4 0.91 2.41 .0145 1 0.91 2.51 .0146 2 0.91 2.79 .0147 1 0.91 2.57 .0148 1 0.91 2.54 .0149 2 0.91 2.69 .0150 2 0.91 2.46 .0151 1 0.91 2.66 .0152 2 0.91 2.45 .0153 3 0.91 2.70 .0154 2 0.91 2.89 .0155 3 0.91 2.65 .0156 4 0.91 2.78 .0157 3 0.91 2.75 .0158 1 0.91 2.64 .0159 3 0.91 2.56 .0160 2 0.91 2.84 .0161 2 0.91 2.62 .0162 2 0.91 2.45 .0163 2 0.91 2.53 .0164 3 0.91 2.71 .0165 1 0.91 2.63 .0166 1 0.91 2.61 .0167 2 0.91 2.65 .0168 1 0.91 2.78 .0169 1 0.91 2.62 .0170 2 0.91 2.75 .0171 3 0.91 2.77 .0172 1 0.91 2.67 .0173 1 0.91 2.65 .0174 1 0.91 2.64 .0175 1 0.91 2.52 .0176 1 0.91 2.53 .0177 2 0.91 2.60 .0178 2 0.91 2.57 .0179 2 0.91 2.54 .0180 2 0.91 2.66 .0181 3 0.91 2.62 .0182 2 0.91 2.92 .0183 2 0.91 2.79 .0184 1 0.91 2.67 .0185 4 0.91 2.69 .0186 3 0.91 2.87 .0187 1 0.91 2.56 .0188 3 0.91 2.68 .0189 2 0.91 2.71 .0190 1 0.91 2.70 .0191 1 0.91 2.57 .0192 1 0.91 2.64 .0193 1 0.91 2.92 .0194 1 0.91 2.88 .0195 3 0.91 2.65 .0196 2 0.91 2.94 .0197 2 0.91 2.76 .0198 1 0.91 2.83 .0199 1 0.91 2.76 .0200 1 0.91 2.87 .0201 2 0.91 2.56 .0202 3 0.91 2.88 .0203 1 0.91 2.57 .0204 1 0.91 2.63 .0205 1 0.91 2.66 .0206 2 0.91 2.84 .0207 3 0.91 2.71 .0208 2 0.91 2.72 .0209 1 0.91 2.71 .0210 3 0.91 2.81 .0211 1 0.91 2.77 .0212 3 0.91 2.73 .0213 2 0.91 2.65 .0214 3 0.91 2.86 .0215 3 0.91 2.71 .0216 3 0.91 2.85 .0217 3 0.91 2.62 .0218 1 0.91 2.69 .0219 2 0.91 2.69 .0220 3 0.91 3.18 .0221 2 0.91 2.62 .0222 2 0.91 2.54 .0223 1 0.91 2.45 .0224 1 0.91 2.67 .0225 3 0.91 2.65 .0226 4 0.91 2.60 .0227 2 0.91 2.60 .0228 1 0.91 2.73 .0229 2 0.91 2.68 .0230 1 0.91 2.86 .0231 1 0.91 2.73 .0232 2 0.91 2.59 .0233 1 0.91 2.70 .0234 2 0.91 2.65 .0235 3 0.91 2.94 .0236 1 0.91 2.76 .0237 2 0.91 2.76 .0238 3 0.91 2.68 .0239 1 0.91 2.56 .0240 1 0.91 2.81 .0241 3 0.91 3.16 .0242 2 0.91 2.99 .0243 1 0.91 2.79 .0244 3 0.91 2.88 .0245 2 0.91 2.88 .0246 1 0.91 2.89 .0247 1 0.91 2.88 .0248 2 0.91 2.91 .0249 2 0.91 2.68 .0250 3 0.91 2.87 .0251 2 0.91 2.79 .0252 2 0.91 2.70 .0253 2 0.91 2.85 .0254 2 0.91 2.73 .0255 2 0.91 2.89 .0256 3 0.91 2.94 .0257 2 0.91 2.65 .0258 2 0.91 2.94 .0259 2 0.91 2.94 .0260 2 0.91 2.63 .0261 2 0.91 2.93 .0262 1 0.91 3.00 .0263 1 0.91 3.07 .0264 2 0.91 3.02 .0265 1 0.91 3.16 .0266 1 0.91 2.90 .0267 2 0.91 3.04 .0268 1 0.91 3.17 .0269 1 0.91 2.89 .0270 1 0.91 2.91 .0271 2 0.91 2.94 .0272 2 0.91 2.83 .0273 3 0.91 3.02 .0274 2 0.91 2.98 .0275 3 0.91 3.03 .0276 1 0.91 3.04 .0277 2 0.91 3.02 .0278 3 0.91 3.27 .0279 1 0.91 3.09 .0280 1 0.91 3.03 .0281 2 0.91 2.96 .0282 2 0.91 3.07 .0283 3 0.91 3.10 .0284 2 0.91 3.25 .0285 3 0.91 3.06 .0286 1 0.91 2.99 .0287 1 0.91 3.17 .0288 1 0.91 3.04 .0289 1 0.91 3.01 .0290 2 0.91 3.17 .0291 1 0.91 2.96 .0292 2 0.91 3.34 .0293 1 0.91 3.18 .0294 3 0.91 3.13 .0295 2 0.91 3.29 .0296 2 0.91 3.11 .0297 2 0.91 3.26 .0298 1 0.91 3.38 .0299 2 0.91 3.29 .0300 2 0.91 3.21 .0301 1 0.91 3.15 .0302 2 0.91 3.38 .0303 1 0.91 3.34 .0304 1 0.91 3.30 .0305 3 0.91 3.07 .0306 3 0.91 3.40 .0307 2 0.91 3.49 .0308 2 0.91 3.40 .0309 2 0.91 3.38 .0310 2 0.91 3.39 .0311 2 0.91 3.30 .0312 2 0.91 3.33 .0313 3 0.91 3.43 .0314 2 0.91 3.39 .0315 2 0.91 3.42 .0316 1 0.91 3.56 .0317 1 0.91 3.36 .0318 2 0.91 3.44 .0319 2 0.91 3.37 .0320 1 0.91 3.29 .0321 2 0.91 3.41 .0322 2 0.91 3.86 .0323 2 0.91 3.42 .0324 1 0.91 3.68 .0325 1 0.91 3.37 .0326 2 0.91 3.47 .0327 2 0.91 3.50 .0328 1 0.91 3.47 .0329 1 0.91 3.55 .0330 1 0.91 3.71 .0331 3 0.91 3.37 .0332 1 0.91 3.58 .0333 1 0.91 3.37 .0334 3 0.91 3.63 .0335 3 0.91 3.53 .0336 2 0.91 3.69 .0337 3 0.91 3.93 .0338 1 0.91 3.67 .0339 1 0.91 3.65 .0340 1 0.91 3.61 .0341 1 0.91 3.54 .0342 2 0.90 3.65 .0343 1 0.90 3.84 .0344 2 0.90 3.76 .0345 1 0.90 3.76 .0346 1 0.90 3.75 .0347 1 0.90 3.68 .0348 1 0.90 3.72 .0349 1 0.90 3.69 .0350 3 0.90 4.18 .0351 2 0.90 3.75 .0352 1 0.90 3.83 .0353 2 0.90 4.17 .0354 2 0.90 3.81 .0355 2 0.90 4.00 .0356 2 0.90 4.14 .0357 2 0.90 3.90 .0358 2 0.90 3.98 .0359 2 0.90 4.11 .0360 2 0.90 4.05 .0361 2 0.90 4.13 .0362 2 0.90 4.72 .0363 2 0.90 4.25 .0364 2 0.90 4.02 .0365 2 0.90 3.93 .0366 1 0.90 3.92 .0367 1 0.90 3.89 .0368 1 0.90 3.77 .0369 2 0.90 4.04 .0370 2 0.90 4.03 .0371 1 0.90 3.90 .0372 2 0.90 3.86 .0373 1 0.90 3.88 .0374 1 0.90 3.91 .0375 1 0.90 3.95 .0376 1 0.90 4.40 .0377 2 0.90 4.28 .0378 2 0.90 4.41 .0379 4 0.90 4.31 .0380 5 0.90 4.32 .0381 2 0.90 4.36 .0382 2 0.90 4.08 .0383 1 0.90 4.08 .0384 2 0.90 4.19 .0385 2 0.90 4.03 .0386 2 0.90 3.93 .0387 2 0.90 4.15 .0388 2 0.90 4.43 .0389 3 0.90 4.09 .0390 1 0.90 4.13 .0391 1 0.90 4.03 .0392 1 0.90 4.11 .0393 1 0.90 4.08 .0394 1 0.90 4.15 .0395 2 0.90 4.26 .0396 1 0.90 4.94 .0397 4 0.90 4.21 .0398 2 0.90 4.27 .0399 1 0.90 4.58 .0400 2 0.90 4.27 .0401 1 0.90 4.50 .0402 1 0.90 4.27 .0403 2 0.90 4.11 .0404 4 0.90 4.45 .0405 2 0.90 3.88 .0406 1 0.90 4.25 .0407 3 0.90 4.29 .0408 3 0.90 4.56 .0409 2 0.90 4.14 .0410 2 0.90 4.05 .0411 1 0.90 4.05 .0412 2 0.90 4.15 .0413 2 0.90 4.64 .0414 4 0.90 4.52 .0415 3 0.90 4.04 .0416 2 0.90 4.28 .0417 2 0.90 4.05 .0418 2 0.90 3.97 .0419 3 0.90 4.42 .0420 2 0.90 4.15 .0421 1 0.90 4.31 .0422 1 0.90 3.99 .0423 1 0.90 4.13 .0424 2 0.90 4.00 .0425 2 0.90 3.96 .0426 2 0.90 4.21 .0427 2 0.90 4.12 .0428 3 0.90 4.16 .0429 3 0.90 4.19 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0.90 4.42 .0486 1 0.90 4.35 .0487 2 0.90 4.04 .0488 3 0.90 4.36 .0489 3 0.90 4.18 .0490 1 0.90 4.09 .0491 2 0.90 4.14 .0492 2 0.90 4.12 .0493 1 0.90 4.07 .0494 1 0.90 3.92 .0495 1 0.90 4.29 .0496 2 0.90 4.51 .0497 1 0.90 4.12 .0498 1 0.90 3.99 .0499 1 0.90 4.13 .0500 1 0.90 4.08 .0501 1 0.90 4.09 .0502 1 0.90 4.52 .0503 2 0.90 4.13 .0504 3 0.90 4.49 .0505 4 0.90 4.28 .0506 3 0.90 4.15 .0507 1 0.90 4.14 .0508 1 0.90 4.11 .0509 1 0.90 4.07 .0510 2 0.90 3.97 .0511 1 0.90 4.12 .0512 1 0.90 4.19 .0513 2 0.90 4.02 .0514 1 0.90 4.33 .0515 2 0.90 4.14 .0516 1 0.90 3.99 .0517 1 0.90 4.56 .0518 1 0.90 4.62 .0519 2 0.90 4.35 .0520 3 0.90 4.13 .0521 1 0.90 4.03 .0522 2 0.90 4.27 .0523 1 0.90 4.54 .0524 1 0.90 4.30 .0525 2 0.90 4.37 .0526 2 0.90 4.39 .0527 1 0.90 4.29 .0528 2 0.90 4.34 .0529 2 0.90 4.49 .0530 1 0.90 4.26 .0531 2 0.90 4.04 .0532 1 0.90 4.17 .0533 1 0.90 4.10 .0534 2 0.90 4.44 .0535 1 0.90 4.87 .0536 1 0.90 4.39 .0537 2 0.90 4.36 .0538 1 0.90 4.13 .0539 2 0.90 4.10 .0540 1 0.90 4.11 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0.90 3.77 .1929 2 0.90 3.97 .1930 2 0.90 3.53 .1931 2 0.90 4.01 .1932 3 0.90 3.62 .1933 3 0.90 4.04 .1934 1 0.90 3.63 .1935 2 0.90 3.86 .1936 3 0.90 3.81 .1937 3 0.90 3.73 .1938 4 0.90 3.62 .1939 2 0.90 3.72 .1940 2 0.90 3.58 .1941 1 0.90 3.82 .1942 2 0.90 3.59 .1943 3 0.90 3.62 .1944 2 0.90 3.85 .1945 2 0.90 3.63 .1946 1 0.90 3.96 .1947 2 0.90 3.69 .1948 1 0.90 3.88 .1949 2 0.90 3.86 .1950 3 0.90 3.95 .1951 1 0.90 3.81 .1952 2 0.90 4.04 .1953 3 0.90 4.11 .1954 2 0.90 3.92 .1955 1 0.90 3.66 .1956 1 0.90 3.66 .1957 1 0.90 3.65 .1958 1 0.90 3.45 .1959 1 0.90 3.34 .1960 2 0.90 3.70 .1961 1 0.90 3.32 .1962 1 0.90 3.16 .1963 1 0.90 3.04 .1964 4 0.90 3.00 .1965 4 0.90 2.88 .1966 2 0.90 2.91 .1967 3 0.90 2.92 .1968 1 0.90 2.93 .1969 3 0.90 2.84 .1970 1 0.90 3.05 .1971 2 0.90 3.04 .1972 3 0.90 3.03 .1973 3 0.90 3.40 .1974 3 0.90 3.12 .1975 1 0.90 3.12 .1976 1 0.90 3.16 .1977 3 0.90 3.12 .1978 3 0.90 3.03 .1979 2 0.90 3.04 .1980 2 0.90 3.05 .1981 3 0.90 3.21 .1982 3 0.90 3.25 .1983 3 0.90 3.05 .1984 1 0.90 2.97 .1985 1 0.90 3.06 .1986 1 0.90 3.00 .1987 1 0.90 3.25 .1988 2 0.90 3.67 .1989 4 0.90 3.48 .1990 3 0.90 3.37 .1991 2 0.90 3.74 .1992 2 0.90 3.66 .1993 3 0.90 3.39 .1994 2 0.90 3.34 .1995 2 0.90 3.23 .1996 3 0.90 3.57 .1997 2 0.90 3.32 .1998 1 0.90 3.51 .1999 1 0.90 3.52 .2000 2 0.90 3.58 .2001 1 0.90 3.63 .2002 1 0.90 3.70 .2003 2 0.90 3.58 .2004 2 0.90 3.45 .2005 2 0.90 3.40 .2006 2 0.90 3.60 .2007 3 0.90 3.65 .2008 1 0.90 3.40 .2009 1 0.90 3.24 .2010 1 0.90 3.41 .2011 2 0.90 3.20 .2012 2 0.90 3.16 .2013 1 0.90 3.18 .2014 1 0.90 3.16 .2015 2 0.90 3.07 .2016 1 0.90 3.03 .2017 2 0.90 2.77 .2018 3 0.90 2.85 .2019 1 0.90 2.74 .2020 2 0.90 2.78 .2021 1 0.90 2.71 .2022 1 0.90 2.69 .2023 3 0.90 2.84 .2024 3 0.90 2.69 .2025 2 0.91 2.82 .2026 3 0.91 2.76 .2027 3 0.91 2.58 .2028 2 0.91 2.72 .2029 1 0.91 2.66 .2030 2 0.91 2.74 .2031 1 0.91 2.64 .2032 4 0.91 2.67 .2033 1 0.91 2.53 .2034 1 0.91 2.64 .2035 3 0.91 2.64 .2036 2 0.91 2.67 .2037 1 0.91 2.71 .2038 1 0.91 2.60 .2039 3 0.91 3.04 .2040 4 0.91 2.85 .2041 1 0.91 2.83 .2042 1 0.91 2.82 .2043 1 0.91 2.79 .2044 1 0.91 2.71 .2045 2 0.91 2.94 .2046 3 0.91 3.27 .2047 2 0.91 3.10 EXTRACT_IMAGE: sdR-b2-00034588.fit: masked 2048 pixels EXTRACT_OBJECT: sdR-b2-00034588.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034588.fit: WARNING: Scattered light median = 99.3157 electrons QAPLOT_SCATLIGHT: sdR-b2-00034588.fit: WARNING: Scattered light max = 174.058 electrons EXTRACT_OBJECT: sdR-b2-00034588.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034588.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034588.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034588.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.02 0.06 Step 14 of 2080 0.62 64 0.02 0.11 Step 18 of 2080 0.61 64 0.02 0.10 Step 22 of 2080 0.61 64 0.03 0.13 Step 26 of 2080 0.61 64 0.04 0.16 Step 30 of 2080 0.61 64 0.04 0.16 Step 34 of 2080 0.61 64 0.05 0.15 Step 38 of 2080 0.61 64 0.03 0.12 Step 42 of 2080 0.61 64 0.04 0.13 Step 46 of 2080 0.61 64 0.04 0.13 Step 50 of 2080 0.61 64 0.04 0.12 Step 54 of 2080 0.61 64 0.03 0.12 Step 58 of 2080 0.61 64 0.02 0.12 Step 62 of 2080 0.61 64 0.02 0.11 Step 66 of 2080 0.61 64 0.03 0.11 Step 70 of 2080 0.61 64 0.03 0.12 Step 74 of 2080 0.61 64 0.03 0.12 Step 78 of 2080 0.61 64 0.03 0.11 Step 82 of 2080 0.61 64 0.03 0.11 Step 86 of 2080 0.61 64 0.04 0.12 Step 90 of 2080 0.61 64 0.04 0.12 Step 94 of 2080 0.61 64 0.05 0.13 Step 98 of 2080 0.60 64 0.04 0.14 Step 102 of 2080 0.60 64 0.04 0.13 Step 106 of 2080 0.60 64 0.04 0.13 Step 110 of 2080 0.60 64 0.04 0.13 Step 114 of 2080 0.60 64 0.03 0.12 Step 118 of 2080 0.60 64 0.05 0.12 Step 122 of 2080 0.60 64 0.04 0.12 Step 126 of 2080 0.60 64 0.04 0.12 Step 130 of 2080 0.60 64 0.04 0.13 Step 134 of 2080 0.60 64 0.04 0.14 Step 138 of 2080 0.60 64 0.04 0.12 Step 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Step 1054 of 2080 0.49 64 0.06 0.12 Step 1058 of 2080 0.49 64 0.06 0.12 Step 1062 of 2080 0.49 64 0.05 0.12 Step 1066 of 2080 0.49 64 0.06 0.14 Step 1070 of 2080 0.49 64 0.07 0.17 Step 1074 of 2080 0.49 64 0.06 0.17 Step 1078 of 2080 0.49 64 0.06 0.15 Step 1082 of 2080 0.49 64 0.05 0.13 Step 1086 of 2080 0.48 64 0.05 0.12 Step 1090 of 2080 0.48 64 0.04 0.12 Step 1094 of 2080 0.48 64 0.04 0.12 Step 1098 of 2080 0.48 64 0.04 0.12 Step 1102 of 2080 0.48 64 0.04 0.12 Step 1106 of 2080 0.48 64 0.03 0.13 Step 1110 of 2080 0.48 64 0.04 0.13 Step 1114 of 2080 0.48 64 0.04 0.14 Step 1118 of 2080 0.48 64 0.05 0.15 Step 1122 of 2080 0.48 64 0.03 0.13 Step 1126 of 2080 0.48 64 0.04 0.14 Step 1130 of 2080 0.48 64 0.03 0.12 Step 1134 of 2080 0.48 64 0.03 0.12 Step 1138 of 2080 0.48 64 0.03 0.12 Step 1142 of 2080 0.48 64 0.03 0.12 Step 1146 of 2080 0.48 64 0.03 0.12 Step 1150 of 2080 0.48 64 0.04 0.13 Step 1154 of 2080 0.48 64 0.03 0.13 Step 1158 of 2080 0.48 64 0.04 0.12 Step 1162 of 2080 0.48 64 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0.46 64 0.03 0.13 Step 1278 of 2080 0.46 64 0.03 0.14 Step 1282 of 2080 0.46 64 0.03 0.12 Step 1286 of 2080 0.46 64 0.04 0.14 Step 1290 of 2080 0.46 64 0.04 0.14 Step 1294 of 2080 0.46 64 0.05 0.15 Step 1298 of 2080 0.46 64 0.04 0.14 Step 1302 of 2080 0.46 64 0.04 0.14 Step 1306 of 2080 0.46 64 0.05 0.15 Step 1310 of 2080 0.46 64 0.05 0.16 Step 1314 of 2080 0.46 64 0.04 0.14 Step 1318 of 2080 0.46 64 0.04 0.14 Step 1322 of 2080 0.46 64 0.05 0.15 Step 1326 of 2080 0.46 64 0.05 0.15 Step 1330 of 2080 0.46 64 0.07 0.16 Step 1334 of 2080 0.46 64 0.04 0.14 Step 1338 of 2080 0.46 64 0.04 0.14 Step 1342 of 2080 0.46 64 0.04 0.14 Step 1346 of 2080 0.46 64 0.04 0.13 Step 1350 of 2080 0.45 64 0.03 0.12 Step 1354 of 2080 0.45 64 0.03 0.11 Step 1358 of 2080 0.45 64 0.04 0.12 Step 1362 of 2080 0.45 64 0.04 0.12 Step 1366 of 2080 0.45 64 0.04 0.12 Step 1370 of 2080 0.45 64 0.04 0.14 Step 1374 of 2080 0.45 64 0.04 0.14 Step 1378 of 2080 0.45 64 0.04 0.15 Step 1382 of 2080 0.45 64 0.04 0.13 Step 1386 of 2080 0.45 64 0.06 0.14 Step 1390 of 2080 0.45 64 0.04 0.12 Step 1394 of 2080 0.45 64 0.06 0.14 Step 1398 of 2080 0.45 64 0.05 0.14 Step 1402 of 2080 0.45 64 0.06 0.15 Step 1406 of 2080 0.45 64 0.07 0.15 Step 1410 of 2080 0.45 64 0.06 0.14 Step 1414 of 2080 0.45 64 0.05 0.13 Step 1418 of 2080 0.45 64 0.05 0.13 Step 1422 of 2080 0.45 64 0.04 0.12 Step 1426 of 2080 0.45 64 0.04 0.13 Step 1430 of 2080 0.45 64 0.04 0.13 Step 1434 of 2080 0.45 64 0.03 0.13 Step 1438 of 2080 0.44 64 0.03 0.12 Step 1442 of 2080 0.44 64 0.04 0.13 Step 1446 of 2080 0.44 64 0.05 0.14 Step 1450 of 2080 0.44 64 0.04 0.12 Step 1454 of 2080 0.44 64 0.04 0.12 Step 1458 of 2080 0.44 64 0.04 0.12 Step 1462 of 2080 0.44 64 0.04 0.12 Step 1466 of 2080 0.44 64 0.04 0.13 Step 1470 of 2080 0.44 64 0.05 0.13 Step 1474 of 2080 0.44 64 0.04 0.13 Step 1478 of 2080 0.44 64 0.04 0.14 Step 1482 of 2080 0.44 64 0.05 0.14 Step 1486 of 2080 0.44 64 0.04 0.14 Step 1490 of 2080 0.44 64 0.05 0.13 Step 1494 of 2080 0.44 64 0.04 0.12 Step 1498 of 2080 0.44 64 0.04 0.12 Step 1502 of 2080 0.44 64 0.04 0.12 Step 1506 of 2080 0.44 64 0.04 0.12 Step 1510 of 2080 0.44 64 0.04 0.12 Step 1514 of 2080 0.44 64 0.04 0.12 Step 1518 of 2080 0.44 64 0.03 0.13 Step 1522 of 2080 0.44 64 0.03 0.12 Step 1526 of 2080 0.44 64 0.02 0.11 Step 1530 of 2080 0.43 64 0.02 0.12 Step 1534 of 2080 0.43 64 0.02 0.12 Step 1538 of 2080 0.43 64 0.02 0.12 Step 1542 of 2080 0.43 64 0.03 0.13 Step 1546 of 2080 0.43 64 0.03 0.13 Step 1550 of 2080 0.43 64 0.04 0.14 Step 1554 of 2080 0.43 64 0.05 0.16 Step 1558 of 2080 0.43 64 0.05 0.16 Step 1562 of 2080 0.43 64 0.05 0.14 Step 1566 of 2080 0.43 64 0.05 0.13 Step 1570 of 2080 0.43 64 0.05 0.13 Step 1574 of 2080 0.43 64 0.06 0.14 Step 1578 of 2080 0.43 64 0.06 0.14 Step 1582 of 2080 0.43 64 0.06 0.14 Step 1586 of 2080 0.43 64 0.05 0.15 Step 1590 of 2080 0.43 64 0.04 0.12 Step 1594 of 2080 0.43 64 0.04 0.13 Step 1598 of 2080 0.43 64 0.05 0.14 Step 1602 of 2080 0.43 64 0.04 0.13 Step 1606 of 2080 0.43 64 0.04 0.14 Step 1610 of 2080 0.43 64 0.05 0.16 Step 1614 of 2080 0.43 64 0.04 0.14 Step 1618 of 2080 0.43 64 0.04 0.13 Step 1622 of 2080 0.42 64 0.04 0.13 Step 1626 of 2080 0.42 64 0.05 0.14 Step 1630 of 2080 0.42 64 0.05 0.15 Step 1634 of 2080 0.42 64 0.04 0.13 Step 1638 of 2080 0.42 64 0.05 0.14 Step 1642 of 2080 0.42 64 0.03 0.14 Step 1646 of 2080 0.42 64 0.04 0.14 Step 1650 of 2080 0.42 64 0.04 0.14 Step 1654 of 2080 0.42 64 0.03 0.14 Step 1658 of 2080 0.42 64 0.03 0.13 Step 1662 of 2080 0.42 64 0.05 0.14 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.03 0.11 Step 1674 of 2080 0.42 64 0.04 0.12 Step 1678 of 2080 0.42 64 0.04 0.12 Step 1682 of 2080 0.42 64 0.04 0.12 Step 1686 of 2080 0.42 64 0.03 0.13 Step 1690 of 2080 0.42 64 0.04 0.13 Step 1694 of 2080 0.42 64 0.04 0.13 Step 1698 of 2080 0.42 64 0.04 0.12 Step 1702 of 2080 0.42 64 0.05 0.13 Step 1706 of 2080 0.42 64 0.04 0.13 Step 1710 of 2080 0.42 64 0.04 0.14 Step 1714 of 2080 0.42 64 0.05 0.15 Step 1718 of 2080 0.41 64 0.04 0.14 Step 1722 of 2080 0.41 64 0.05 0.14 Step 1726 of 2080 0.41 64 0.05 0.15 Step 1730 of 2080 0.41 64 0.05 0.14 Step 1734 of 2080 0.41 64 0.04 0.14 Step 1738 of 2080 0.41 64 0.06 0.15 Step 1742 of 2080 0.41 64 0.04 0.14 Step 1746 of 2080 0.41 64 0.05 0.15 Step 1750 of 2080 0.41 64 0.04 0.14 Step 1754 of 2080 0.41 64 0.04 0.13 Step 1758 of 2080 0.41 64 0.05 0.15 Step 1762 of 2080 0.41 64 0.04 0.14 Step 1766 of 2080 0.41 64 0.04 0.14 Step 1770 of 2080 0.41 64 0.07 0.17 Step 1774 of 2080 0.41 64 0.06 0.14 Step 1778 of 2080 0.41 64 0.04 0.13 Step 1782 of 2080 0.41 64 0.05 0.15 Step 1786 of 2080 0.41 64 0.05 0.14 Step 1790 of 2080 0.41 64 0.05 0.14 Step 1794 of 2080 0.41 64 0.04 0.13 Step 1798 of 2080 0.41 64 0.04 0.12 Step 1802 of 2080 0.41 64 0.04 0.11 Step 1806 of 2080 0.41 64 0.04 0.12 Step 1810 of 2080 0.41 64 0.04 0.11 Step 1814 of 2080 0.40 64 0.04 0.11 Step 1818 of 2080 0.40 64 0.04 0.12 Step 1822 of 2080 0.40 64 0.04 0.11 Step 1826 of 2080 0.40 64 0.04 0.12 Step 1830 of 2080 0.40 64 0.04 0.11 Step 1834 of 2080 0.40 64 0.04 0.12 Step 1838 of 2080 0.40 64 0.04 0.12 Step 1842 of 2080 0.40 64 0.04 0.12 Step 1846 of 2080 0.40 64 0.04 0.11 Step 1850 of 2080 0.40 64 0.04 0.12 Step 1854 of 2080 0.40 64 0.05 0.17 Step 1858 of 2080 0.40 64 0.04 0.15 Step 1862 of 2080 0.40 64 0.05 0.16 Step 1866 of 2080 0.40 64 0.04 0.12 Step 1870 of 2080 0.40 64 0.04 0.13 Step 1874 of 2080 0.40 64 0.05 0.20 Step 1878 of 2080 0.40 64 0.05 0.12 Step 1882 of 2080 0.40 64 0.05 0.13 Step 1886 of 2080 0.40 64 0.04 0.12 Step 1890 of 2080 0.40 64 0.04 0.13 Step 1894 of 2080 0.40 64 0.04 0.12 Step 1898 of 2080 0.40 64 0.04 0.12 Step 1902 of 2080 0.40 64 0.04 0.12 Step 1906 of 2080 0.40 64 0.04 0.12 Step 1910 of 2080 0.39 64 0.05 0.12 Step 1914 of 2080 0.39 64 0.04 0.13 Step 1918 of 2080 0.39 64 0.05 0.14 Step 1922 of 2080 0.39 64 0.06 0.15 Step 1926 of 2080 0.39 64 0.06 0.15 Step 1930 of 2080 0.39 64 0.06 0.15 Step 1934 of 2080 0.39 64 0.06 0.15 Step 1938 of 2080 0.39 64 0.06 0.15 Step 1942 of 2080 0.39 64 0.05 0.15 Step 1946 of 2080 0.39 64 0.05 0.14 Step 1950 of 2080 0.39 64 0.05 0.13 Step 1954 of 2080 0.39 64 0.04 0.12 Step 1958 of 2080 0.39 64 0.04 0.12 Step 1962 of 2080 0.39 64 0.04 0.13 Step 1966 of 2080 0.39 64 0.04 0.12 Step 1970 of 2080 0.39 64 0.05 0.13 Step 1974 of 2080 0.39 64 0.04 0.14 Step 1978 of 2080 0.39 64 0.04 0.13 Step 1982 of 2080 0.39 64 0.05 0.14 Step 1986 of 2080 0.39 64 0.04 0.13 Step 1990 of 2080 0.39 64 0.05 0.14 Step 1994 of 2080 0.39 64 0.04 0.14 Step 1998 of 2080 0.39 64 0.04 0.13 Step 2002 of 2080 0.39 64 0.05 0.14 Step 2006 of 2080 0.39 64 0.05 0.14 Step 2010 of 2080 0.38 64 0.05 0.14 Step 2014 of 2080 0.38 64 0.04 0.12 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.02 0.12 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 64 0.03 0.11 Step 2050 of 2080 0.38 64 0.03 0.13 Step 2054 of 2080 0.38 64 0.03 0.12 Step 2058 of 2080 0.38 64 0.02 0.12 Step 2062 of 2080 0.38 64 0.03 0.12 Step 2066 of 2080 0.38 64 0.03 0.12 Step 2070 of 2080 0.38 64 0.02 0.12 Step 2074 of 2080 0.38 64 0.04 0.13 Step 2078 of 2080 0.38 64 0.04 0.13 EXTRACT_OBJECT: sdR-b2-00034588.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 3 0.92 2.94 .0001 2 0.92 3.39 .0002 3 0.92 4.40 .0003 3 0.92 4.29 .0004 2 0.91 4.70 .0005 3 0.91 4.50 .0006 2 0.91 4.34 .0007 3 0.91 4.37 .0008 2 0.91 4.56 .0009 2 0.91 4.25 .0010 1 0.91 4.22 .0011 2 0.91 4.24 .0012 3 0.91 4.36 .0013 2 0.91 4.42 .0014 3 0.91 4.05 .0015 1 0.91 3.95 .0016 2 0.91 3.71 .0017 3 0.91 3.69 .0018 2 0.91 3.79 .0019 1 0.91 3.44 .0020 1 0.91 3.26 .0021 1 0.91 3.38 .0022 1 0.91 3.03 .0023 3 0.91 2.86 .0024 4 0.91 2.91 .0025 2 0.91 2.95 .0026 3 0.91 2.94 .0027 2 0.91 2.76 .0028 2 0.91 2.58 .0029 2 0.91 2.50 .0030 2 0.91 2.49 .0031 2 0.91 2.44 .0032 3 0.91 2.31 .0033 2 0.91 2.39 .0034 3 0.91 2.18 .0035 4 0.91 2.28 .0036 2 0.91 2.14 .0037 2 0.91 2.05 .0038 1 0.91 1.99 .0039 1 0.91 1.91 .0040 1 0.91 2.00 .0041 1 0.91 1.85 .0042 1 0.91 1.85 .0043 1 0.91 1.95 .0044 1 0.91 1.72 .0045 1 0.91 1.73 .0046 1 0.91 1.94 .0047 3 0.91 1.68 .0048 1 0.91 1.64 .0049 1 0.91 1.69 .0050 1 0.91 1.67 .0051 1 0.91 1.72 .0052 2 0.91 1.67 .0053 2 0.91 1.62 .0054 4 0.91 1.70 .0055 4 0.91 1.63 .0056 2 0.91 1.69 .0057 4 0.91 1.58 .0058 3 0.91 1.60 .0059 1 0.91 1.56 .0060 1 0.91 1.59 .0061 1 0.91 1.62 .0062 3 0.91 1.49 .0063 2 0.91 1.58 .0064 3 0.91 1.55 .0065 4 0.91 1.65 .0066 3 0.91 1.51 .0067 2 0.91 1.68 .0068 3 0.91 1.61 .0069 3 0.91 1.60 .0070 3 0.91 1.55 .0071 4 0.91 1.47 .0072 3 0.91 1.33 .0073 3 0.91 1.49 .0074 2 0.91 1.40 .0075 1 0.91 1.51 .0076 3 0.91 1.47 .0077 4 0.91 1.44 .0078 2 0.91 1.47 .0079 3 0.91 1.43 .0080 3 0.91 1.47 .0081 2 0.91 1.50 .0082 2 0.91 1.56 .0083 3 0.91 1.64 .0084 1 0.91 1.41 .0085 3 0.91 1.41 .0086 1 0.91 1.65 .0087 2 0.91 1.56 .0088 1 0.91 1.71 .0089 1 0.91 1.57 .0090 1 0.91 1.93 .0091 4 0.91 1.79 .0092 2 0.91 1.87 .0093 1 0.91 1.76 .0094 1 0.91 1.84 .0095 3 0.91 1.89 .0096 2 0.91 1.85 .0097 2 0.91 2.01 .0098 2 0.91 1.98 .0099 2 0.91 2.00 .0100 2 0.91 2.30 .0101 2 0.91 2.20 .0102 2 0.91 2.08 .0103 2 0.91 2.18 .0104 1 0.91 2.04 .0105 1 0.91 2.14 .0106 2 0.91 2.10 .0107 1 0.91 2.19 .0108 2 0.91 2.24 .0109 3 0.91 2.15 .0110 2 0.91 2.26 .0111 3 0.91 2.49 .0112 3 0.91 2.19 .0113 5 0.91 2.50 .0114 1 0.91 2.31 .0115 2 0.91 2.14 .0116 1 0.91 2.12 .0117 2 0.91 2.11 .0118 2 0.91 2.18 .0119 3 0.91 2.44 .0120 2 0.91 2.44 .0121 2 0.91 2.29 .0122 1 0.91 2.34 .0123 1 0.91 2.31 .0124 1 0.91 2.25 .0125 2 0.91 2.26 .0126 2 0.91 2.23 .0127 1 0.91 2.16 .0128 2 0.91 2.34 .0129 3 0.91 2.42 .0130 3 0.91 2.42 .0131 1 0.91 2.31 .0132 1 0.91 2.25 .0133 1 0.91 2.35 .0134 2 0.91 2.22 .0135 1 0.91 2.27 .0136 2 0.91 2.15 .0137 3 0.91 2.27 .0138 3 0.91 2.35 .0139 4 0.91 2.18 .0140 2 0.91 2.37 .0141 1 0.91 2.21 .0142 3 0.91 2.48 .0143 3 0.91 2.39 .0144 4 0.91 2.16 .0145 1 0.91 2.29 .0146 2 0.91 2.47 .0147 1 0.91 2.31 .0148 1 0.91 2.27 .0149 2 0.91 2.43 .0150 2 0.91 2.17 .0151 1 0.91 2.38 .0152 2 0.91 2.18 .0153 2 0.91 2.52 .0154 3 0.91 2.48 .0155 3 0.91 2.33 .0156 4 0.91 2.47 .0157 4 0.91 2.33 .0158 1 0.91 2.38 .0159 3 0.91 2.24 .0160 2 0.91 2.56 .0161 2 0.91 2.28 .0162 2 0.91 2.22 .0163 2 0.91 2.24 .0164 3 0.91 2.44 .0165 1 0.91 2.38 .0166 1 0.91 2.30 .0167 2 0.91 2.35 .0168 1 0.91 2.51 .0169 1 0.91 2.30 .0170 3 0.91 2.33 .0171 3 0.91 2.47 .0172 1 0.91 2.42 .0173 1 0.91 2.37 .0174 1 0.91 2.30 .0175 1 0.91 2.26 .0176 1 0.91 2.29 .0177 2 0.91 2.36 .0178 2 0.91 2.27 .0179 2 0.91 2.29 .0180 2 0.91 2.32 .0181 3 0.91 2.32 .0182 2 0.91 2.60 .0183 2 0.91 2.51 .0184 1 0.91 2.37 .0185 4 0.91 2.39 .0186 3 0.91 2.57 .0187 1 0.91 2.26 .0188 3 0.91 2.35 .0189 2 0.91 2.37 .0190 1 0.91 2.40 .0191 1 0.91 2.27 .0192 1 0.91 2.39 .0193 1 0.91 2.60 .0194 1 0.91 2.57 .0195 3 0.91 2.38 .0196 2 0.91 2.62 .0197 2 0.91 2.42 .0198 1 0.91 2.53 .0199 1 0.91 2.42 .0200 1 0.91 2.58 .0201 2 0.91 2.32 .0202 3 0.91 2.60 .0203 1 0.91 2.32 .0204 1 0.91 2.32 .0205 1 0.91 2.33 .0206 2 0.91 2.55 .0207 2 0.91 2.40 .0208 2 0.91 2.39 .0209 1 0.91 2.37 .0210 3 0.91 2.44 .0211 1 0.91 2.43 .0212 3 0.91 2.39 .0213 2 0.91 2.38 .0214 3 0.91 2.57 .0215 3 0.91 2.40 .0216 3 0.91 2.55 .0217 3 0.91 2.19 .0218 1 0.91 2.39 .0219 2 0.91 2.39 .0220 3 0.91 2.86 .0221 2 0.91 2.27 .0222 2 0.91 2.13 .0223 1 0.91 2.16 .0224 1 0.91 2.31 .0225 3 0.91 2.31 .0226 4 0.91 2.42 .0227 2 0.91 2.27 .0228 1 0.91 2.39 .0229 2 0.91 2.29 .0230 1 0.91 2.49 .0231 1 0.91 2.44 .0232 2 0.91 2.31 .0233 1 0.91 2.32 .0234 2 0.91 2.32 .0235 3 0.91 2.59 .0236 1 0.91 2.48 .0237 2 0.91 2.37 .0238 3 0.91 2.29 .0239 1 0.91 2.21 .0240 1 0.91 2.44 .0241 3 0.91 2.78 .0242 2 0.91 2.63 .0243 1 0.91 2.41 .0244 3 0.91 2.49 .0245 2 0.91 2.51 .0246 1 0.91 2.49 .0247 1 0.91 2.46 .0248 2 0.91 2.52 .0249 2 0.91 2.32 .0250 3 0.91 2.52 .0251 2 0.91 2.43 .0252 2 0.91 2.34 .0253 2 0.91 2.43 .0254 2 0.91 2.36 .0255 2 0.91 2.53 .0256 3 0.91 2.52 .0257 2 0.91 2.28 .0258 2 0.91 2.51 .0259 2 0.91 2.54 .0260 2 0.91 2.30 .0261 2 0.91 2.55 .0262 1 0.91 2.68 .0263 1 0.91 2.68 .0264 2 0.91 2.63 .0265 1 0.91 2.71 .0266 1 0.91 2.49 .0267 2 0.91 2.65 .0268 1 0.91 2.73 .0269 1 0.91 2.50 .0270 1 0.91 2.51 .0271 2 0.91 2.53 .0272 2 0.91 2.46 .0273 2 0.91 2.66 .0274 2 0.91 2.59 .0275 3 0.91 2.59 .0276 1 0.91 2.68 .0277 2 0.91 2.61 .0278 3 0.91 2.90 .0279 1 0.91 2.70 .0280 1 0.91 2.56 .0281 2 0.91 2.54 .0282 2 0.91 2.65 .0283 3 0.91 2.69 .0284 3 0.91 2.65 .0285 3 0.91 2.64 .0286 1 0.91 2.59 .0287 1 0.91 2.74 .0288 1 0.91 2.67 .0289 1 0.91 2.59 .0290 2 0.91 2.70 .0291 1 0.91 2.52 .0292 2 0.91 2.89 .0293 1 0.91 2.74 .0294 3 0.91 2.74 .0295 2 0.91 2.87 .0296 2 0.91 2.70 .0297 2 0.91 2.85 .0298 1 0.91 2.92 .0299 2 0.91 2.82 .0300 2 0.91 2.83 .0301 1 0.91 2.75 .0302 3 0.91 2.73 .0303 1 0.91 2.93 .0304 1 0.91 2.82 .0305 3 0.91 2.63 .0306 3 0.91 2.90 .0307 2 0.91 3.07 .0308 2 0.91 2.96 .0309 2 0.91 2.96 .0310 2 0.91 2.95 .0311 2 0.91 2.86 .0312 2 0.91 2.92 .0313 3 0.91 2.93 .0314 2 0.91 3.00 .0315 2 0.91 2.96 .0316 1 0.91 3.03 .0317 1 0.91 2.94 .0318 2 0.91 2.99 .0319 2 0.91 2.89 .0320 1 0.91 2.84 .0321 2 0.91 2.94 .0322 2 0.91 3.39 .0323 2 0.91 2.94 .0324 1 0.91 3.18 .0325 1 0.91 2.87 .0326 2 0.91 3.02 .0327 2 0.91 3.02 .0328 1 0.91 3.01 .0329 1 0.91 3.13 .0330 1 0.91 3.21 .0331 3 0.91 2.93 .0332 1 0.91 3.10 .0333 1 0.91 2.92 .0334 3 0.91 3.14 .0335 3 0.91 3.04 .0336 2 0.91 3.26 .0337 3 0.91 3.40 .0338 1 0.91 3.20 .0339 1 0.91 3.13 .0340 1 0.91 3.08 .0341 1 0.91 3.06 .0342 2 0.90 3.17 .0343 1 0.90 3.28 .0344 2 0.90 3.22 .0345 1 0.90 3.19 .0346 1 0.90 3.28 .0347 1 0.90 3.15 .0348 1 0.90 3.17 .0349 1 0.90 3.16 .0350 3 0.90 3.65 .0351 2 0.90 3.24 .0352 1 0.90 3.30 .0353 2 0.90 3.64 .0354 2 0.90 3.23 .0355 2 0.90 3.43 .0356 2 0.90 3.58 .0357 2 0.90 3.36 .0358 2 0.90 3.46 .0359 2 0.90 3.54 .0360 2 0.90 3.46 .0361 2 0.90 3.60 .0362 3 0.90 3.56 .0363 2 0.90 3.64 .0364 3 0.90 3.25 .0365 2 0.90 3.36 .0366 1 0.90 3.34 .0367 1 0.90 3.37 .0368 1 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0.91 1.93 .2034 1 0.91 2.09 .2035 3 0.91 2.06 .2036 2 0.91 2.03 .2037 1 0.91 2.12 .2038 1 0.91 2.04 .2039 3 0.91 2.45 .2040 4 0.91 2.24 .2041 1 0.91 2.27 .2042 1 0.91 2.24 .2043 1 0.91 2.27 .2044 1 0.91 2.16 .2045 2 0.91 2.30 .2046 4 0.91 2.50 .2047 2 0.91 2.49 EXTRACT_IMAGE: sdR-b2-00034588.fit: masked 2242 pixels EXTRACT_OBJECT: sdR-b2-00034588.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034588.fit: Scattered light median = 2.14282 electrons QAPLOT_SCATLIGHT: sdR-b2-00034588.fit: WARNING: Scattered light max = 90.7262 electrons EXTRACT_OBJECT: sdR-b2-00034588.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 3 0.92 10.22 .0001 2 0.92 6.89 .0002 3 0.92 6.25 .0003 3 0.92 5.72 .0004 2 0.91 5.82 .0005 3 0.91 5.64 .0006 3 0.91 5.36 .0007 2 0.91 5.41 .0008 2 0.91 5.42 .0009 4 0.91 5.24 .0010 2 0.91 5.14 .0011 2 0.91 5.07 .0012 4 0.91 4.92 .0013 4 0.91 5.18 .0014 3 0.91 5.00 .0015 1 0.91 4.85 .0016 3 0.91 4.52 .0017 4 0.91 4.58 .0018 3 0.91 4.55 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0.90 2.88 .1962 1 0.90 2.82 .1963 1 0.90 2.57 .1964 4 0.90 2.58 .1965 5 0.90 2.50 .1966 2 0.90 2.46 .1967 3 0.90 2.46 .1968 1 0.90 2.55 .1969 3 0.90 2.42 .1970 1 0.90 2.62 .1971 2 0.90 2.52 .1972 3 0.90 2.75 .1973 3 0.90 2.63 .1974 2 0.90 2.59 .1975 2 0.90 2.59 .1976 2 0.90 2.62 .1977 3 0.90 2.79 .1978 3 0.90 2.70 .1979 2 0.90 2.68 .1980 2 0.90 2.59 .1981 3 0.90 2.73 .1982 3 0.90 2.69 .1983 3 0.90 2.61 .1984 1 0.90 2.62 .1985 1 0.90 2.60 .1986 1 0.90 2.67 .1987 1 0.90 2.78 .1988 3 0.90 3.06 .1989 3 0.90 2.96 .1990 3 0.90 2.88 .1991 4 0.90 2.93 .1992 2 0.90 3.01 .1993 3 0.90 2.84 .1994 2 0.90 2.93 .1995 2 0.90 2.81 .1996 3 0.90 3.00 .1997 2 0.90 2.84 .1998 1 0.90 3.08 .1999 1 0.90 3.06 .2000 2 0.90 3.03 .2001 1 0.90 3.12 .2002 1 0.90 3.19 .2003 2 0.90 3.15 .2004 2 0.90 2.99 .2005 3 0.90 2.81 .2006 2 0.90 3.23 .2007 3 0.90 3.03 .2008 1 0.90 3.11 .2009 1 0.90 2.87 .2010 1 0.90 3.02 .2011 3 0.90 2.87 .2012 2 0.90 2.79 .2013 1 0.90 2.80 .2014 2 0.90 2.91 .2015 2 0.90 2.83 .2016 1 0.90 2.76 .2017 2 0.90 2.53 .2018 3 0.90 2.51 .2019 2 0.90 2.44 .2020 3 0.90 2.46 .2021 1 0.90 2.37 .2022 1 0.90 2.42 .2023 4 0.90 2.33 .2024 3 0.90 2.26 .2025 2 0.91 2.41 .2026 3 0.91 2.29 .2027 3 0.91 2.15 .2028 3 0.91 2.08 .2029 1 0.91 2.25 .2030 2 0.91 2.29 .2031 2 0.91 2.19 .2032 3 0.91 2.27 .2033 1 0.91 2.11 .2034 1 0.91 2.32 .2035 3 0.91 2.36 .2036 2 0.91 2.31 .2037 1 0.91 2.45 .2038 1 0.91 2.34 .2039 3 0.91 2.49 .2040 5 0.91 2.63 .2041 2 0.91 2.56 .2042 2 0.91 2.76 .2043 1 0.91 2.81 .2044 1 0.91 2.87 .2045 2 0.91 3.00 .2046 3 0.91 3.28 .2047 5 0.91 3.17 EXTRACT_IMAGE: sdR-b2-00034588.fit: masked 3555 pixels DIVIDEFLAT: sdR-b2-00034588.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034588.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034588.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034588.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034588.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034588.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034588.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034588.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034588.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 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0.014780805 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 0 0.43671014 10.338013 0.044466526 0.98707010 117.00559 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 6 0.68365404 -8.5175744 -0.16828007 0.93271131 86.798928 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 13 2.2744247 -20.447677 0.59020916 1.1000958 85.088609 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 18 1.5252492 8.9718225 0.45866580 1.0984576 91.478926 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 26 0.65730458 -18.057836 -0.19925169 1.7422484 76.144431 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 52 0.14835414 7.3639967 -0.10709522 1.1511026 53.258066 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 60 0.42690939 1.6407380 0.11342576 0.94695972 83.332661 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 63 1.3938775 -12.941913 -0.17373000 0.73187927 107.26422 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 82 0.90070305 -33.664997 0.17297376 0.97682160 93.369346 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 84 1.2857958 -46.785954 -0.24244722 0.78917772 103.81652 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 109 0.30483867 -33.547633 -0.51529519 1.7715005 81.875927 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 114 1.1984118 -21.884492 0.11696594 0.94857854 83.490688 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 131 1.8995249 -36.361094 -0.015399775 0.99090137 98.177663 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 153 1.4661939 -17.846169 -0.23525919 1.4620339 63.837353 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 176 1.4903976 9.6155030 -0.10365186 1.4739305 86.363838 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 180 0.95426272 19.654905 0.40015138 1.1706214 68.782279 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 184 0.50785313 24.748208 -0.13067273 1.4026966 74.369633 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 185 3.1702705 33.126570 -0.21468099 1.0548200 83.231615 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 186 0.93310548 40.258241 -0.086956016 0.89701121 57.814155 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 201 0.44402862 -10.191549 0.29487643 0.85087879 50.534757 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 204 0.10278527 -38.603382 0.12337312 1.1336696 112.29482 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 206 0.84707728 -47.451755 -0.28550674 0.98188243 108.35959 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 213 1.1486750 36.151447 -0.23105668 0.88885772 76.972275 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 235 0.39874488 14.432892 0.19701556 0.89723110 76.532678 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 257 0.85386302 10.463682 -0.0096792904 1.5438396 45.908937 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 259 2.2537824 25.975592 0.22697250 0.94187624 71.091075 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 260 0.96761139 24.086440 0.065243538 0.86045510 61.848052 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 261 0.71774706 9.8763273 -0.11779534 0.88103406 85.405988 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 265 1.9558982 0.0073248124 0.39141589 1.1486421 62.264728 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 271 0.33057466 -2.5211466 -0.15231011 0.61043154 91.904016 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 276 2.0102396 -54.857908 0.12290957 1.5071696 93.401305 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 281 1.1083527 -26.083794 0.17103120 1.9947144 96.254941 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 284 1.2327905 11.395564 0.41077292 1.0856858 85.476050 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 307 0.48041923 -35.082628 0.39637636 1.3720820 110.50434 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 0 308 0.68995589 -11.184233 -0.10833909 0.96127914 82.615734 LOCATESKYLINES_2: sdR-b2-00034588.fit: trimmed 1high points: 1.3526771 LOCATESKYLINES_2: sdR-b2-00034588.fit: comb1 l,chi^2/dof,fit: 0 0.95137141 0.032337731 0.021438379 1.0541672 0.93381325 LOCATESKYLINES_2: sdR-b2-00034588.fit: kept 314 of 314 points LOCATESKYLINES_2: sdR-b2-00034588.fit: offset, refoff, sigma: 0.0362190.0214380.042567 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 0 0.74961917 46.984931 0.21314000 1.0935131 229.11707 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 6 1.6941973 14.987582 0.11138667 1.3407779 229.79941 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 13 0.33670185 39.515020 0.10666581 1.1043134 218.47351 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 18 1.9468242 23.942391 -0.11637061 1.1777332 255.66766 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 26 0.57114094 46.022655 0.17543508 1.0288237 274.31963 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 52 0.50545157 18.763817 0.089158465 1.2703695 207.62947 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 60 0.20191453 29.939428 0.053844656 1.0756328 254.22007 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 63 0.66721550 30.789102 0.024585611 0.84287078 246.74679 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 82 1.2719468 -1.9233322 -0.021258406 1.2958291 236.05277 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 84 1.1110029 -16.115409 -0.19322485 1.2418088 234.34043 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 109 0.62582109 -9.5878939 0.062293492 1.2477135 246.70285 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 114 1.7350977 7.8558677 0.31751637 1.0950919 219.35857 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 131 1.5537294 44.363531 0.089781790 0.91190383 237.36085 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 153 0.59909601 42.096085 0.11371718 0.98871756 272.02024 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 176 1.0206217 44.761303 -0.068346436 1.0851084 236.08928 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 180 6.3060824 30.393649 -0.052187251 1.2784982 255.45271 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 184 0.45980234 73.685357 -0.023450551 0.84367025 239.39041 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 185 0.65563471 33.887597 -0.022667273 1.2407303 193.26262 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 186 2.7351225 39.178546 0.041390738 1.1481444 227.32529 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 201 1.3003142 4.9418948 0.13550065 1.0817231 256.74051 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 204 0.99382730 47.615536 0.064308183 1.0451060 214.10191 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 206 0.15258052 64.295321 0.23623371 1.0107272 183.39813 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 213 2.3838806 81.336639 0.19902761 1.1940861 213.93162 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 235 3.8563910 37.375101 0.42384336 0.92816319 385.36802 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 257 0.65035958 32.887950 -0.038006881 1.1379456 248.19110 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 259 1.3493071 67.415799 0.032712630 1.0711824 239.96922 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 260 1.1667886 22.267189 -0.10167776 1.3566993 222.71701 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 261 0.89392181 14.258775 0.023808257 1.3458441 247.32852 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 265 0.65417692 36.363320 0.11913310 1.1316215 221.30602 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 271 1.2183108 47.264216 -0.037875025 0.69094311 504.36074 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 276 1.1695591 29.197788 0.091902895 0.96362104 223.67898 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 281 0.93261688 22.943781 0.26637465 0.93326220 236.48778 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 284 3.7353794 62.131502 0.14159038 0.93647390 204.90526 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 307 1.0210024 49.653512 0.22498106 0.80902900 256.83239 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 1 308 1.2949321 33.932239 0.17122712 0.95262924 235.03742 LOCATESKYLINES_2: sdR-b2-00034588.fit: trimmed 2high points: 0.94167225 0.94419995 LOCATESKYLINES_2: sdR-b2-00034588.fit: comb1 l,chi^2/dof,fit: 1 1.6549793 0.0045713174 0.089056572 1.0560305 0.96393051 LOCATESKYLINES_2: sdR-b2-00034588.fit: sigma-clipped to 308 of 313 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034588.fit: comb2 l,chi^2/dof,fit: 1 1.1763691 0.0014729594 0.10191637 1.0762877 0.99254246 LOCATESKYLINES_2: sdR-b2-00034588.fit: kept 308 of 313 points LOCATESKYLINES_2: sdR-b2-00034588.fit: offset, refoff, sigma: 0.1166970.1019160.017892 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 0 1.5346382 24.400194 0.10010405 1.2457984 303.98893 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 6 1.4768600 -14.206840 0.10426295 0.94885960 296.93919 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 13 0.45433955 -5.5325001 0.024708359 1.1676108 279.40067 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 18 0.69439877 20.426494 0.19721705 1.0545367 291.11816 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 26 0.18798220 78.812861 0.042565414 0.93393091 345.65471 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 52 0.96900169 39.580926 0.17025712 0.97994844 281.28973 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 60 0.64969453 82.009453 0.34488621 0.97865631 296.77188 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 63 1.9908112 53.839332 0.18405965 1.1182288 294.57043 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 82 0.81066631 78.914125 0.044552853 1.1052613 258.63145 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 84 2.0318387 -32.964079 -0.099301286 1.8727925 304.03423 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 109 0.53811689 57.468010 0.29774117 1.0080140 263.12016 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 114 1.7102813 26.623645 0.13987390 1.2378541 337.25139 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 131 0.93368380 54.789393 0.27742568 1.2958669 300.79405 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 153 0.77816792 90.766406 0.10406087 1.2629969 299.20695 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 176 1.0717681 69.418897 -0.035786189 1.1761900 268.61584 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 180 1.0809544 48.936039 0.23788849 1.2235772 305.33352 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 184 0.59545303 88.416611 0.074679911 1.0547639 243.43698 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 185 0.71131312 66.222529 0.072013289 1.1221493 262.47017 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 186 1.2615891 62.315489 0.18833866 1.0193114 269.25912 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 201 1.5922995 51.523582 0.24098254 1.2109653 298.20719 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 204 0.80991273 57.651657 0.15987995 1.0696859 299.84270 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 206 2.0323652 73.664393 0.25874509 1.0550502 320.29185 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 213 0.79256141 128.36291 0.23259661 1.0283672 284.86079 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 235 0.73627456 86.948213 0.26160142 1.0619209 264.38359 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 257 0.37629173 66.302852 0.047373956 1.1124391 224.62377 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 259 0.71322289 137.83711 0.12601348 1.0132543 274.41270 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 260 0.27065401 89.468525 0.19576982 0.94558942 244.52734 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 261 1.9149194 99.251170 0.010507534 0.95066547 245.22429 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 265 3.3304541 38.821828 0.17546732 1.2210548 285.18543 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 271 0.69951202 56.865180 0.089640790 0.97213313 284.36596 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 276 1.9656175 55.457726 0.40125840 1.0570928 284.66282 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 281 1.7508816 46.521131 -0.080157037 1.3163726 231.71741 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 284 1.9952559 39.397083 0.12147688 1.2270965 269.58425 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 307 4.9436973 43.064441 0.038559941 0.99232573 267.61983 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 2 308 0.23046625 76.968733 0.059821343 1.0038855 288.93214 LOCATESKYLINES_2: sdR-b2-00034588.fit: comb1 l,chi^2/dof,fit: 2 1.1623886 0.0086981510 0.14822510 1.0959004 0.98857116 LOCATESKYLINES_2: sdR-b2-00034588.fit: sigma-clipped to 312 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034588.fit: comb2 l,chi^2/dof,fit: 2 0.98396184 0.0069440331 0.14871236 1.0977405 0.99011185 LOCATESKYLINES_2: sdR-b2-00034588.fit: kept 312 of 315 points LOCATESKYLINES_2: sdR-b2-00034588.fit: offset, refoff, sigma: 0.1634930.1487120.017479 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 0 13.651414 34.240065 0.20257586 0.89660287 4169.3425 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 6 6.2493902 -33.945872 0.16895688 0.89498424 4157.4052 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 13 2.6832946 16.376809 0.17868222 0.92564842 4032.5333 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 18 12.514071 7.0378941 0.19856346 0.90570961 4204.1275 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 26 0.72790036 77.387959 0.16208845 0.88726481 4249.0361 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 52 9.1234435 -0.29678680 0.15724145 0.91979741 3957.9261 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 60 11.741993 56.990609 0.18172794 0.90308356 4052.4959 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 63 1.1527682 4.1898591 0.16814837 0.90907327 4134.8369 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 82 7.0284193 43.736807 0.16534882 0.91551005 4061.2672 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 84 12.294539 19.590772 0.16718254 0.88844862 4139.2882 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 109 15.071277 15.284763 0.17449778 0.91108554 4142.1198 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 114 5.0449903 18.528977 0.20212887 0.88982852 4220.2139 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 131 2.1112510 41.701973 0.19649612 0.89355632 4131.6932 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 153 12.370086 84.945673 0.19689075 0.89415922 4218.6089 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 176 9.7856549 39.641329 0.18225812 0.89436833 4192.1018 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 180 5.8887826 37.272883 0.16938004 0.86749007 4371.0509 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 184 4.1263406 62.319627 0.19260503 0.90363462 4178.3039 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 185 5.0267940 33.901252 0.17455027 0.89626901 4115.0982 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 186 4.6138822 41.138012 0.20214510 0.89941665 4220.8694 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 201 10.833306 41.295081 0.21471867 0.91293365 4046.0387 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 204 13.125495 57.001525 0.16875951 0.90864970 4132.2785 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 206 10.200341 79.603109 0.17701966 0.89268763 4139.9009 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 213 7.1055011 89.615766 0.15624588 0.90226211 4166.6181 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 235 6.8107380 57.394929 0.15317490 0.87933498 4177.4698 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 257 15.584434 41.475608 0.17719006 0.87986327 4203.6132 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 259 8.6608911 86.643277 0.16984656 0.89365601 4200.9191 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 260 12.015545 60.876698 0.18079459 0.87153734 4206.5812 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 261 1.3482445 48.516859 0.16578441 0.90007820 4096.4408 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 265 8.3037955 46.744883 0.16717576 0.87209991 4334.4776 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 271 8.6669755 19.741507 0.16134280 0.88739285 4278.1158 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 276 2.1993691 61.576321 0.14760412 0.87807065 4260.4317 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 281 2.2256382 22.219618 0.14972175 0.90279351 4136.8049 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 284 2.8327199 28.334570 0.14719056 0.89554744 4174.3650 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 307 5.8358414 16.779797 0.16873424 0.87887614 4211.1303 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 3 308 10.513647 46.407793 0.17895744 0.88801251 4151.1582 LOCATESKYLINES_2: sdR-b2-00034588.fit: comb1 l,chi^2/dof,fit: 3 4.8360524 1.3265578e-05 0.17509483 0.89400629 0.99998457 LOCATESKYLINES_2: sdR-b2-00034588.fit: sigma-clipped to 292 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034588.fit: comb2 l,chi^2/dof,fit: 3 3.0671209 0.00095999395 0.17550772 0.89671055 0.99110185 LOCATESKYLINES_2: sdR-b2-00034588.fit: kept 292 of 315 points LOCATESKYLINES_2: sdR-b2-00034588.fit: offset, refoff, sigma: 0.1902890.1755080.002272 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 0 30.608708 120.61830 0.29994181 0.76253596 487.27850 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 6 10.930228 32.846377 0.12144762 0.87419757 482.17730 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 13 10.389831 43.070586 0.21411322 0.82222570 475.10409 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 18 10.274272 63.806948 0.14756018 0.94002183 472.30341 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 26 25.286957 152.82757 0.26673637 0.69483087 534.88548 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 52 14.049069 52.600682 0.19066282 0.81167987 498.49829 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 60 9.0987277 89.346431 0.10652170 0.84630101 493.71807 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 63 30.211272 95.944958 0.22648832 0.71611686 506.77356 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 82 18.414734 149.64614 0.21372061 0.71191631 534.97311 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 84 15.912799 115.92001 0.30559320 0.73831081 511.03986 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 109 23.446114 118.16089 0.14400756 0.80683498 422.58397 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 114 24.667550 120.72202 0.26967092 0.71008808 511.54485 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 131 26.716721 98.766519 0.24286193 0.85539796 473.23774 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 153 14.894189 89.739143 0.36285402 0.92449481 516.00314 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 176 21.720235 91.985146 0.17015103 0.86188980 535.26773 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 180 34.375246 96.054017 0.17017197 0.85922250 526.81897 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 184 29.946737 117.64603 0.34266540 0.83903643 498.85493 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 185 21.265050 111.00659 0.19382961 0.82015687 488.11735 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 186 30.070348 117.50053 0.19817904 0.76620834 474.43538 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 201 14.143937 58.599872 0.31926903 0.92875600 530.10807 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 204 12.805212 72.482523 0.15014713 0.88978918 454.43737 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 206 12.356027 65.900669 0.26862613 0.85906181 478.22496 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 213 13.461614 122.11110 0.17746895 0.82829178 498.83676 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 235 13.253416 88.203559 0.16616335 0.84918738 508.38750 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 257 23.186324 80.274752 0.25909390 0.85801971 515.52920 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 259 30.284746 139.85593 0.21024543 0.81285309 490.05163 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 260 18.760620 123.18821 0.35395994 0.83492386 478.59315 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 261 24.193317 133.39204 0.16448225 0.76745949 490.94213 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 265 10.431336 86.248618 0.22098038 0.77655547 492.04598 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 271 19.203964 96.629921 0.21767608 0.78467535 495.77188 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 276 19.823647 97.934600 0.12193127 0.81438923 475.59150 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 281 16.382203 80.517921 0.21905507 0.92323222 423.53418 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 284 28.288596 111.48146 0.14038462 0.80263305 503.65815 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 307 12.442497 90.018903 0.18630598 0.83950339 498.98506 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 4 308 16.330704 97.444075 0.22790100 0.85541762 510.36845 LOCATESKYLINES_2: sdR-b2-00034588.fit: comb1 l,chi^2/dof,fit: 4 11.525856 0.00077293628 0.21859740 0.82528394 0.99116282 LOCATESKYLINES_2: sdR-b2-00034588.fit: sigma-clipped to 274 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034588.fit: comb2 l,chi^2/dof,fit: 4 2.0390902 -0.076078890 0.21052536 0.91309518 1.0460412 LOCATESKYLINES_2: sdR-b2-00034588.fit: kept 274 of 315 points LOCATESKYLINES_2: sdR-b2-00034588.fit: offset, refoff, sigma: 0.2253060.2105250.008941 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 0 11.130623 81.681973 0.27619169 0.89104383 352.14767 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 6 30.967335 56.289396 0.24382569 0.82257003 262.90499 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 13 9.6256073 11.108795 0.094316241 0.75816338 310.44852 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 18 31.991198 80.789505 0.21850625 0.74787031 319.50060 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 26 39.762672 108.04508 0.26411770 0.77572242 327.81230 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 52 26.477923 58.682693 0.26686675 0.73737949 343.22777 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 60 36.207746 111.31757 0.22576825 0.71658975 343.76086 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 63 41.261166 82.832536 0.21967840 0.70734216 353.43855 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 82 36.031480 136.69604 0.28748757 0.82205982 234.24124 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 84 8.5893019 57.106252 0.14490502 0.81400779 341.66412 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 109 41.542231 108.52498 0.099769949 0.75031894 274.25558 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 114 5.9636719 60.103286 0.24481843 0.75164927 387.56904 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 131 14.942367 75.058846 0.29610093 0.77241321 354.75772 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 153 23.077382 99.097163 0.16114138 0.74819387 284.38184 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 176 32.514613 98.350110 0.11807660 0.80750059 314.11470 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 180 31.224792 93.116012 0.22205647 0.77596059 341.50790 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 184 17.163591 106.13148 0.22861026 0.70066924 361.10987 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 185 19.304242 91.024377 0.15990141 0.86236972 286.99820 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 186 14.994502 85.080315 0.30389672 0.76810363 363.79374 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 201 35.989558 88.438014 0.10478709 0.84275373 304.08880 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 204 30.237557 96.083171 0.15750711 0.81413419 316.35490 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 206 21.923097 85.497474 0.29172126 0.86568616 254.23839 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 213 22.512076 133.04071 0.13773064 0.76803821 318.16334 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 235 36.516727 103.97088 0.14643272 0.79836334 315.97990 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 257 23.742119 74.845481 0.13383674 0.78862761 348.12586 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 259 18.908160 123.74635 0.26477688 0.83597275 328.88214 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 260 6.5264810 97.694637 0.26699938 0.71214439 303.03462 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 261 10.733405 81.631569 0.20936416 0.86047280 342.01180 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 265 31.719792 91.768168 0.21856878 0.75637730 329.99812 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 271 15.222820 73.244069 0.22465275 0.75282225 322.40048 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 276 19.598897 53.576532 0.25147581 0.90018664 298.70560 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 281 23.033992 88.246923 0.15317168 0.80077737 333.37274 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 284 21.236747 70.378484 0.32090374 0.83746054 357.99668 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 307 25.494503 104.19576 0.24480991 0.79521002 275.07509 LOCATESKYLINES_2: sdR-b2-00034588.fit: l,f,chi^2/dof,c: 5 308 25.447368 78.891560 0.25753610 0.82128965 332.23613 LOCATESKYLINES_2: sdR-b2-00034588.fit: comb1 l,chi^2/dof,fit: 5 13.724573 -0.0012230629 0.21793419 0.80000000 0.98854472 LOCATESKYLINES_2: sdR-b2-00034588.fit: sigma-clipped to 278 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034588.fit: comb2 l,chi^2/dof,fit: 5 1.2399945 -0.11008946 0.22275628 0.90487934 1.0793623 LOCATESKYLINES_2: sdR-b2-00034588.fit: kept 278 of 315 points LOCATESKYLINES_2: sdR-b2-00034588.fit: offset, refoff, sigma: 0.2375370.2227560.011946 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 6455.1098 DOF = 1861 P(0) = 1.45594 P(1) = 0.00000 P(2) = 1.45594 P(3) = 1.45594 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 6331.2554 DOF = 1861 P(0) = 1.79279 P(1) = -0.000228071 P(2) = -4.92998 P(3) = 16.1425 P(4) = 0.000130000 P(5) = 0.0483799 Iter 3 CHI-SQUARE = 6014.2878 DOF = 1861 P(0) = 2.22123 P(1) = -0.000102502 P(2) = 5.19862 P(3) = 20.2113 P(4) = 0.000130000 P(5) = 0.109278 Iter 4 CHI-SQUARE = 5647.9655 DOF = 1861 P(0) = 1.70569 P(1) = 4.44380E-05 P(2) = 6.97349 P(3) = 42.9692 P(4) = 0.000130000 P(5) = 0.219318 Iter 5 CHI-SQUARE = 5531.6731 DOF = 1861 P(0) = 0.383324 P(1) = -5.79945E-05 P(2) = 9.54338 P(3) = 71.2512 P(4) = 0.000130000 P(5) = 0.0450837 Iter 6 CHI-SQUARE = 5408.4390 DOF = 1861 P(0) = 0.345039 P(1) = -1.04594E-05 P(2) = 10.6836 P(3) = 72.6998 P(4) = 0.000130000 P(5) = 0.270101 Iter 7 CHI-SQUARE = 5404.3147 DOF = 1861 P(0) = 0.115973 P(1) = -1.18672E-05 P(2) = 10.4719 P(3) = 75.0868 P(4) = 0.000130000 P(5) = 0.226427 Iter 8 CHI-SQUARE = 5404.3137 DOF = 1861 P(0) = 0.155388 P(1) = -1.12866E-05 P(2) = 10.2642 P(3) = 75.0533 P(4) = 0.000130000 P(5) = 0.224764 Iter 9 CHI-SQUARE = 5404.2988 DOF = 1861 P(0) = 0.153210 P(1) = -1.14425E-05 P(2) = 10.3152 P(3) = 75.0527 P(4) = 0.000130000 P(5) = 0.227076 Iter 10 CHI-SQUARE = 5404.2987 DOF = 1861 P(0) = 0.156382 P(1) = -1.14049E-05 P(2) = 10.3181 P(3) = 75.0559 P(4) = 0.000130000 P(5) = 0.227146 Iter 11 CHI-SQUARE = 5404.2981 DOF = 1861 P(0) = 0.158643 P(1) = -1.14141E-05 P(2) = 10.3215 P(3) = 75.0577 P(4) = 0.000130000 P(5) = 0.227248 Iter 12 CHI-SQUARE = 5404.2972 DOF = 1861 P(0) = 0.161221 P(1) = -1.14496E-05 P(2) = 10.3301 P(3) = 75.0587 P(4) = 0.000130000 P(5) = 0.227403 Iter 13 CHI-SQUARE = 5404.2963 DOF = 1861 P(0) = 0.162982 P(1) = -1.15353E-05 P(2) = 10.3433 P(3) = 75.0598 P(4) = 0.000130000 P(5) = 0.227268 Iter 14 CHI-SQUARE = 5404.2958 DOF = 1861 P(0) = 0.166424 P(1) = -1.15465E-05 P(2) = 10.3651 P(3) = 75.0617 P(4) = 0.000130000 P(5) = 0.227547 Iter 14 CHI-SQUARE = 5404.2958 DOF = 1861 P(0) = 0.166424 P(1) = -1.15465E-05 P(2) = 10.3651 P(3) = 75.0617 P(4) = 0.000130000 P(5) = 0.227547 FITMOONPLUSLINE: sdR-b2-00034588.fit: fit coeffs: 0.16642358 -1.1546513e-05 10.365054 75.061722 0.00013000000 0.22754663 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 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2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034588.fit: changing 4046.58 correction from 0.0362192 to 0.10437872 pixels, err= 0.061610034 Iter 1 CHI-SQUARE = 14792.814 DOF = 3853 P(0) = 18.2525 P(1) = 0.00000 P(2) = 18.2525 P(3) = 18.2525 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 7896.6813 DOF = 3853 P(0) = 30.2241 P(1) = -6.78013E-05 P(2) = 18.3665 P(3) = 228.481 P(4) = 0.000130000 P(5) = -0.00558307 Iter 3 CHI-SQUARE = 7114.2270 DOF = 3853 P(0) = 30.3348 P(1) = -8.62910E-06 P(2) = 19.6623 P(3) = 217.810 P(4) = 0.000130000 P(5) = -0.000741153 Iter 4 CHI-SQUARE = 7099.8277 DOF = 3853 P(0) = 30.2496 P(1) = -9.61953E-06 P(2) = 18.2501 P(3) = 228.766 P(4) = 0.000130000 P(5) = -0.00538269 Iter 5 CHI-SQUARE = 7099.8192 DOF = 3853 P(0) = 30.2294 P(1) = -9.42406E-06 P(2) = 18.2375 P(3) = 228.766 P(4) = 0.000130000 P(5) = -0.00513457 Iter 6 CHI-SQUARE = 7099.8185 DOF = 3853 P(0) = 30.2228 P(1) = -9.53846E-06 P(2) = 18.2299 P(3) = 228.765 P(4) = 0.000130000 P(5) = -0.00521708 Iter 7 CHI-SQUARE = 7099.8177 DOF = 3853 P(0) = 30.2264 P(1) = -9.48478E-06 P(2) = 18.2371 P(3) = 228.765 P(4) = 0.000130000 P(5) = -0.00531234 Iter 8 CHI-SQUARE = 7099.8177 DOF = 3853 P(0) = 30.2264 P(1) = -9.48413E-06 P(2) = 18.2370 P(3) = 228.764 P(4) = 0.000130000 P(5) = -0.00531226 Iter 9 CHI-SQUARE = 7099.8177 DOF = 3853 P(0) = 30.2264 P(1) = -9.48452E-06 P(2) = 18.2370 P(3) = 228.764 P(4) = 0.000130000 P(5) = -0.00531225 Iter 10 CHI-SQUARE = 7099.8177 DOF = 3853 P(0) = 30.2264 P(1) = -9.48471E-06 P(2) = 18.2370 P(3) = 228.764 P(4) = 0.000130000 P(5) = -0.00531224 Iter 10 CHI-SQUARE = 7099.8177 DOF = 3853 P(0) = 30.2264 P(1) = -9.48471E-06 P(2) = 18.2370 P(3) = 228.764 P(4) = 0.000130000 P(5) = -0.00531224 FITMOONPLUSLINE: sdR-b2-00034588.fit: fit coeffs: 30.226353 -9.4847051e-06 18.236953 228.76448 0.00013000000 -0.0053122433 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034588.fit: changing 4358.33 correction from 0.116697 to 0.087431901 pixels, err= 0.021220749 Iter 1 CHI-SQUARE = 9692.2739 DOF = 1289 P(0) = 41.1363 P(1) = 0.00000 P(2) = 41.1363 P(3) = 41.1363 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 3488.4357 DOF = 1289 P(0) = 61.7036 P(1) = -6.21437E-05 P(2) = 76.9812 P(3) = 244.273 P(4) = 0.000130000 P(5) = 0.642371 Iter 3 CHI-SQUARE = 2912.1668 DOF = 1289 P(0) = 59.3715 P(1) = -5.49262E-06 P(2) = 89.5236 P(3) = 233.274 P(4) = 0.000130000 P(5) = 0.590684 Iter 4 CHI-SQUARE = 2880.6548 DOF = 1289 P(0) = 62.3709 P(1) = -5.76310E-06 P(2) = 88.9809 P(3) = 242.723 P(4) = 0.000130000 P(5) = 0.636205 Iter 5 CHI-SQUARE = 2879.4739 DOF = 1289 P(0) = 62.3188 P(1) = -6.11391E-06 P(2) = 87.8173 P(3) = 243.056 P(4) = 0.000130000 P(5) = 0.638823 Iter 6 CHI-SQUARE = 2877.9308 DOF = 1289 P(0) = 61.6916 P(1) = -6.40911E-06 P(2) = 86.5370 P(3) = 243.009 P(4) = 0.000130000 P(5) = 0.621190 Iter 7 CHI-SQUARE = 2877.4609 DOF = 1289 P(0) = 61.8719 P(1) = -6.68950E-06 P(2) = 85.4855 P(3) = 243.368 P(4) = 0.000130000 P(5) = 0.603102 Iter 8 CHI-SQUARE = 2876.6286 DOF = 1289 P(0) = 61.5812 P(1) = -6.87910E-06 P(2) = 84.3768 P(3) = 243.346 P(4) = 0.000130000 P(5) = 0.653125 Iter 9 CHI-SQUARE = 2875.2979 DOF = 1289 P(0) = 62.0546 P(1) = -7.46898E-06 P(2) = 83.0389 P(3) = 243.665 P(4) = 0.000130000 P(5) = 0.618310 Iter 10 CHI-SQUARE = 2874.8055 DOF = 1289 P(0) = 61.9562 P(1) = -7.57267E-06 P(2) = 82.5465 P(3) = 243.593 P(4) = 0.000130000 P(5) = 0.639947 Iter 11 CHI-SQUARE = 2873.9866 DOF = 1289 P(0) = 61.8425 P(1) = -7.87610E-06 P(2) = 81.6180 P(3) = 243.660 P(4) = 0.000130000 P(5) = 0.642845 Iter 12 CHI-SQUARE = 2872.7209 DOF = 1289 P(0) = 61.8392 P(1) = -8.48704E-06 P(2) = 79.7519 P(3) = 243.845 P(4) = 0.000130000 P(5) = 0.652908 Iter 13 CHI-SQUARE = 2872.3518 DOF = 1289 P(0) = 61.5937 P(1) = -8.62437E-06 P(2) = 79.1704 P(3) = 243.821 P(4) = 0.000130000 P(5) = 0.629224 Iter 14 CHI-SQUARE = 2872.0718 DOF = 1289 P(0) = 61.8588 P(1) = -8.79271E-06 P(2) = 78.5805 P(3) = 244.065 P(4) = 0.000130000 P(5) = 0.628007 Iter 15 CHI-SQUARE = 2871.6296 DOF = 1289 P(0) = 61.7962 P(1) = -8.98034E-06 P(2) = 78.0296 P(3) = 244.020 P(4) = 0.000130000 P(5) = 0.636588 Iter 16 CHI-SQUARE = 2870.9554 DOF = 1289 P(0) = 61.7460 P(1) = -9.35590E-06 P(2) = 76.9060 P(3) = 244.111 P(4) = 0.000130000 P(5) = 0.632087 Iter 17 CHI-SQUARE = 2869.8266 DOF = 1289 P(0) = 61.7149 P(1) = -1.01088E-05 P(2) = 74.6513 P(3) = 244.304 P(4) = 0.000130000 P(5) = 0.627803 Iter 18 CHI-SQUARE = 2869.5581 DOF = 1289 P(0) = 61.5857 P(1) = -1.02903E-05 P(2) = 73.7149 P(3) = 244.357 P(4) = 0.000130000 P(5) = 0.652830 Iter 19 CHI-SQUARE = 2869.0246 DOF = 1289 P(0) = 61.6885 P(1) = -1.07318E-05 P(2) = 72.5231 P(3) = 244.485 P(4) = 0.000130000 P(5) = 0.652734 Iter 20 CHI-SQUARE = 2868.8859 DOF = 1289 P(0) = 61.8072 P(1) = -1.08848E-05 P(2) = 72.0945 P(3) = 244.579 P(4) = 0.000130000 P(5) = 0.637004 Iter 21 CHI-SQUARE = 2868.6600 DOF = 1289 P(0) = 61.7109 P(1) = -1.10540E-05 P(2) = 71.5055 P(3) = 244.559 P(4) = 0.000130000 P(5) = 0.647655 Iter 22 CHI-SQUARE = 2868.3408 DOF = 1289 P(0) = 61.5099 P(1) = -1.14055E-05 P(2) = 70.3467 P(3) = 244.628 P(4) = 0.000130000 P(5) = 0.639756 Iter 23 CHI-SQUARE = 2867.9439 DOF = 1289 P(0) = 61.6397 P(1) = -1.21223E-05 P(2) = 68.3513 P(3) = 244.824 P(4) = 0.000130000 P(5) = 0.627343 Iter 24 CHI-SQUARE = 2867.6229 DOF = 1289 P(0) = 61.4487 P(1) = -1.28390E-05 P(2) = 65.9836 P(3) = 244.971 P(4) = 0.000130000 P(5) = 0.640680 Iter 25 CHI-SQUARE = 2867.5808 DOF = 1289 P(0) = 61.5956 P(1) = -1.28060E-05 P(2) = 65.9768 P(3) = 245.014 P(4) = 0.000130000 P(5) = 0.643564 Iter 26 CHI-SQUARE = 2867.5668 DOF = 1289 P(0) = 61.5676 P(1) = -1.28662E-05 P(2) = 65.8429 P(3) = 244.993 P(4) = 0.000130000 P(5) = 0.645541 Iter 26 CHI-SQUARE = 2867.5668 DOF = 1289 P(0) = 61.5676 P(1) = -1.28662E-05 P(2) = 65.8429 P(3) = 244.993 P(4) = 0.000130000 P(5) = 0.645541 FITMOONPLUSLINE: sdR-b2-00034588.fit: fit coeffs: 61.567578 -1.2866168e-05 65.842875 244.99280 0.00013000000 0.64554126 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034588.fit: changing 5460.94 correction from 0.163493 to 0.13277253 pixels, err= 0.022309629 LOCATESKYLINES_2: sdR-b2-00034588.fit: applying 0.01 pixel correction to 0.23 0.24 0.60 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 FITMEANX: sdR-b2-00034588.fit: In skyline number 0 std-dev is 0.24590200 pix FITMEANX: sdR-b2-00034588.fit: In skyline number 1 std-dev is 0.065375539 pix FITMEANX: sdR-b2-00034588.fit: In skyline number 2 std-dev is 0.085040015 pix FITMEANX: sdR-b2-00034588.fit: In skyline number 3 std-dev is 0.015198485 pix FITMEANX: sdR-b2-00034588.fit: In skyline number 4 std-dev is 0.062606414 pix FITMEANX: sdR-b2-00034588.fit: In skyline number 5 std-dev is 0.057709789 pix LOCATESKYLINES_2: sdR-b2-00034588.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034588.fit: In sky feature at 4046.5600 coadded std-dev is 0.0616100 pix LOCATESKYLINES_2: sdR-b2-00034588.fit: In sky feature at 4358.3300 coadded std-dev is 0.0212207 pix LOCATESKYLINES_2: sdR-b2-00034588.fit: In sky feature at 5460.9400 coadded std-dev is 0.0223096 pix LOCATESKYLINES_2: sdR-b2-00034588.fit: In sky feature at 5577.3390 coadded std-dev is 0.00227234 pix LOCATESKYLINES_2: sdR-b2-00034588.fit: In sky feature at 5889.9500 coadded std-dev is 0.00894139 pix LOCATESKYLINES_2: sdR-b2-00034588.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034588.fit: Median arc shift = 0.14563077 pix LOCATESKYLINES_2: sdR-b2-00034588.fit: Dispersion in arc shift = 0.059683635 pix LOCATESKYLINES_2: sdR-b2-00034588.fit: Maximum sky-line shift is 0.21885811 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Number of sky fibers = 32 ROW NITER SIG(med) CHI^2 .0000 2 0.85 0.11 .0001 4 0.85 0.87 .0002 7 0.85 0.73 .0003 2 0.85 0.52 .0004 8 0.85 0.58 .0005 8 0.85 0.86 .0006 2 0.85 0.11 .0007 7 0.85 0.82 .0008 1 0.85 0.75 .0009 4 0.85 1.45 .0010 3 0.85 0.86 .0011 10 0.85 0.50 .0012 10 0.85 0.53 .0013 1 0.85 0.15 .0014 4 0.85 1.44 .0015 6 0.85 0.69 .0016 8 0.85 0.56 .0017 11 0.85 0.96 .0018 2 0.85 0.10 .0019 1 0.85 0.52 .0020 6 0.83 1.10 .0021 1 0.83 0.27 .0022 12 0.83 0.59 .0023 11 0.83 0.70 .0024 3 0.83 0.81 .0025 2 0.83 0.80 .0026 1 0.83 0.21 .0027 11 0.83 0.55 .0028 3 0.83 0.83 .0029 3 0.83 0.94 .0030 1 0.83 0.65 .0031 2 0.83 0.94 .0032 10 0.83 0.46 .0033 3 0.83 1.37 .0034 11 0.83 0.43 .0035 7 0.83 0.99 .0036 3 0.83 0.80 .0037 5 0.83 0.98 .0038 3 0.83 1.04 .0039 3 0.83 0.87 .0040 10 0.83 0.59 .0041 2 0.83 1.09 .0042 3 0.83 0.68 .0043 1 0.83 0.94 .0044 1 0.83 0.88 .0045 7 0.83 0.65 .0046 10 0.83 0.50 .0047 4 0.83 0.75 .0048 1 0.83 0.65 .0049 1 0.83 0.74 .0050 3 0.83 0.91 .0051 10 0.83 0.54 .0052 2 0.83 0.11 .0053 2 0.83 0.96 .0054 10 0.83 0.75 .0055 10 0.83 0.47 .0056 4 0.83 0.82 .0057 2 0.83 1.30 .0058 3 0.83 0.98 .0059 2 0.83 0.62 .0060 2 0.82 0.10 .0061 4 0.82 0.83 .0062 3 0.82 1.08 .0063 2 0.82 0.19 .0064 9 0.82 0.68 .0065 5 0.82 0.77 .0066 4 0.82 1.00 .0067 5 0.82 1.05 .0068 3 0.82 0.80 .0069 9 0.82 0.60 .0070 10 0.82 0.40 .0071 4 0.82 0.62 .0072 4 0.82 0.89 .0073 2 0.82 0.82 .0074 1 0.82 0.70 .0075 2 0.82 0.78 .0076 12 0.82 0.78 .0077 5 0.82 0.85 .0078 9 0.82 0.74 .0079 1 0.82 0.72 .0080 9 0.82 0.87 .0081 4 0.82 0.76 .0082 1 0.82 0.17 .0083 6 0.82 1.00 .0084 2 0.82 0.09 .0085 2 0.82 0.64 .0086 10 0.82 0.65 .0087 3 0.82 1.08 .0088 6 0.82 0.84 .0089 2 0.82 0.97 .0090 3 0.82 0.95 .0091 2 0.82 0.53 .0092 4 0.82 0.91 .0093 6 0.82 0.81 .0094 3 0.82 0.71 .0095 2 0.82 1.63 .0096 5 0.82 1.06 .0097 9 0.82 0.58 .0098 3 0.82 1.01 .0099 3 0.82 0.78 .0100 2 0.82 0.86 .0101 8 0.82 0.50 .0102 10 0.82 0.55 .0103 1 0.82 0.76 .0104 3 0.82 0.73 .0105 9 0.82 0.60 .0106 3 0.82 0.74 .0107 5 0.82 0.74 .0108 3 0.82 0.76 .0109 2 0.82 0.08 .0110 1 0.82 0.67 .0111 4 0.82 0.77 .0112 8 0.82 0.45 .0113 3 0.82 0.76 .0114 2 0.82 0.13 .0115 7 0.82 0.81 .0116 3 0.82 1.02 .0117 9 0.82 0.52 .0118 1 0.82 0.71 .0119 3 0.82 0.79 .0120 3 0.80 0.85 .0121 3 0.80 0.49 .0122 9 0.80 0.61 .0123 3 0.80 0.88 .0124 1 0.80 0.77 .0125 4 0.80 0.67 .0126 2 0.80 0.75 .0127 3 0.80 0.79 .0128 11 0.80 0.43 .0129 3 0.80 0.92 .0130 8 0.80 1.01 .0131 1 0.80 0.22 .0132 6 0.80 0.60 .0133 3 0.80 1.23 .0134 6 0.80 0.81 .0135 4 0.80 0.79 .0136 1 0.80 0.40 .0137 3 0.80 0.77 .0138 3 0.80 0.81 .0139 7 0.80 0.94 .0140 1 0.82 0.73 .0141 8 0.82 1.20 .0142 11 0.82 0.75 .0143 2 0.82 0.77 .0144 5 0.82 1.12 .0145 3 0.82 0.67 .0146 2 0.82 0.87 .0147 3 0.82 0.77 .0148 4 0.82 1.03 .0149 9 0.82 0.67 .0150 4 0.82 0.88 .0151 6 0.82 0.93 .0152 3 0.82 0.70 .0153 2 0.82 0.11 .0154 10 0.82 0.56 .0155 11 0.82 0.52 .0156 3 0.82 0.90 .0157 12 0.82 0.50 .0158 2 0.82 0.81 .0159 3 0.82 1.05 .0160 2 0.81 0.86 .0161 2 0.81 1.25 .0162 4 0.81 0.85 .0163 2 0.81 0.95 .0164 5 0.81 0.72 .0165 1 0.81 0.24 .0166 2 0.81 0.56 .0167 2 0.81 0.97 .0168 5 0.81 0.87 .0169 6 0.81 1.05 .0170 5 0.81 0.91 .0171 1 0.81 0.72 .0172 2 0.81 0.13 .0173 2 0.81 0.85 .0174 2 0.81 0.18 .0175 2 0.81 0.75 .0176 2 0.81 0.14 .0177 2 0.81 0.95 .0178 2 0.81 0.13 .0179 2 0.81 0.47 .0180 3 0.82 0.08 .0181 1 0.82 0.57 .0182 2 0.82 0.17 .0183 3 0.82 0.97 .0184 3 0.82 0.12 .0185 2 0.82 0.15 .0186 3 0.82 0.09 .0187 1 0.82 0.20 .0188 3 0.82 1.06 .0189 3 0.82 1.36 .0190 1 0.82 0.25 .0191 1 0.82 0.20 .0192 2 0.82 0.15 .0193 2 0.82 0.23 .0194 2 0.82 0.14 .0195 1 0.82 0.21 .0196 1 0.82 0.33 .0197 3 0.82 1.37 .0198 1 0.82 0.19 .0199 1 0.82 0.19 .0200 2 0.82 0.92 .0201 2 0.82 0.13 .0202 9 0.82 0.58 .0203 2 0.82 0.82 .0204 2 0.82 0.12 .0205 10 0.82 0.59 .0206 2 0.82 0.10 .0207 10 0.82 0.86 .0208 4 0.82 0.78 .0209 10 0.82 0.74 .0210 3 0.82 1.11 .0211 5 0.82 1.12 .0212 4 0.82 1.00 .0213 2 0.82 0.11 .0214 3 0.82 0.99 .0215 7 0.82 0.89 .0216 12 0.82 0.42 .0217 10 0.82 0.52 .0218 1 0.82 0.61 .0219 2 0.82 0.72 .0220 4 0.81 1.05 .0221 7 0.81 1.17 .0222 3 0.81 0.97 .0223 10 0.81 0.56 .0224 4 0.81 0.82 .0225 3 0.81 0.71 .0226 5 0.81 1.21 .0227 1 0.81 0.41 .0228 9 0.81 0.75 .0229 5 0.81 0.86 .0230 2 0.81 0.78 .0231 7 0.81 0.81 .0232 1 0.81 0.22 .0233 6 0.81 0.86 .0234 3 0.81 1.08 .0235 1 0.81 0.20 .0236 3 0.81 1.07 .0237 2 0.81 1.05 .0238 11 0.81 0.45 .0239 1 0.81 0.19 .0240 10 0.82 0.47 .0241 0 0.82 0.00 .0242 9 0.82 0.53 .0243 3 0.82 1.73 .0244 5 0.82 1.19 .0245 3 0.82 1.30 .0246 2 0.82 0.81 .0247 4 0.82 1.07 .0248 4 0.82 0.88 .0249 3 0.82 1.02 .0250 3 0.82 0.91 .0251 5 0.82 1.27 .0252 4 0.82 0.93 .0253 3 0.82 0.87 .0254 1 0.82 0.25 .0255 4 0.82 1.03 .0256 2 0.82 0.68 .0257 2 0.82 0.08 .0258 3 0.82 0.73 .0259 2 0.82 0.12 .0260 2 0.81 0.13 .0261 1 0.81 0.17 .0262 9 0.81 0.86 .0263 0 0.81 0.00 .0264 7 0.81 1.14 .0265 2 0.81 0.10 .0266 4 0.81 0.94 .0267 4 0.81 0.97 .0268 3 0.81 1.36 .0269 2 0.81 1.15 .0270 3 0.81 1.14 .0271 2 0.81 0.13 .0272 5 0.81 1.07 .0273 4 0.81 2.10 .0274 4 0.81 0.86 .0275 9 0.81 0.64 .0276 1 0.81 0.18 .0277 5 0.81 1.17 .0278 3 0.81 2.01 .0279 6 0.81 1.32 .0280 2 0.82 0.91 .0281 1 0.82 0.16 .0282 3 0.82 0.84 .0283 2 0.82 0.88 .0284 1 0.82 0.19 .0285 6 0.82 0.88 .0286 3 0.82 0.74 .0287 2 0.82 0.63 .0288 3 0.82 0.80 .0289 3 0.82 0.91 .0290 5 0.82 0.88 .0291 6 0.82 1.05 .0292 0 0.82 0.00 .0293 5 0.82 1.00 .0294 2 0.82 0.77 .0295 3 0.82 0.65 .0296 3 0.82 0.96 .0297 3 0.82 1.03 .0298 8 0.82 0.69 .0299 5 0.82 0.99 .0300 3 0.83 1.03 .0301 7 0.83 0.84 .0302 4 0.83 0.92 .0303 11 0.83 0.43 .0304 3 0.83 1.71 .0305 3 0.83 0.69 .0306 4 0.83 0.73 .0307 2 0.83 0.10 .0308 2 0.83 0.10 .0309 4 0.83 0.94 .0310 2 0.83 1.05 .0311 0 0.83 0.00 .0312 10 0.83 0.70 .0313 6 0.83 0.79 .0314 4 0.83 0.94 .0315 9 0.83 0.88 .0316 8 0.83 1.29 .0317 3 0.83 1.06 .0318 3 0.83 1.05 .0319 5 0.83 0.78 EXTRACT_IMAGE: sdR-b2-00034588.fit: masked 1590 pixels SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 0 median sigma(arc)= 0.84861669 sigma(sky)= -602.95160 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 0 sigma^2(add)= 339951.29 +/- 1360013.2 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 1 median sigma(arc)= 0.84818058 sigma(sky)= -1375.1961 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 1 sigma^2(add)= 1891163.6 +/- 3877996.5 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 2 median sigma(arc)= 0.83068392 sigma(sky)= 1.0328875 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 2 sigma^2(add)= 0.40428225 +/- 0.19235362 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 3 median sigma(arc)= 0.82688676 sigma(sky)= -0.29291173 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 3 sigma^2(add)= 0.32636881 +/- 585033.71 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 4 median sigma(arc)= 0.87254456 sigma(sky)= 1.3754947 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 4 sigma^2(add)= 1.1484795 +/- 1.9112715 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 5 median sigma(arc)= 0.91749271 sigma(sky)= -325.43365 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Line # 5 sigma^2(add)= 58202.109 +/- 127730.65 SKYLINE_DISPERSION: sdR-b2-00034588.fit: Flexure sigma^2(add) = 0.17304666 +/- 0.23362654 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034588.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034588.fit: Heliocentric correction = 23.162663 km/s FITVACSET: sdR-b2-00034588.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034588.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034588.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034588.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034588.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034588.fit: Airmass range = 1.24811 1.29529 SKYSUBTRACT: sdR-b2-00034588.fit: Discarding 0.00355530 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 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of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034588.fit: Median sky-residual chi2 = 1.62634 SKYSUBTRACT: sdR-b2-00034588.fit: Max sky-residual chi2 = 12.6677 QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 7 = -31.1161 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 14 = -34.9318 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 19 = -13.9395 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 27 = 17.6926 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 53 = -21.9912 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 64 = -15.4978 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 85 = -21.5408 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 110 = -19.2924 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 115 = -17.2167 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 154 = 22.0423 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 177 = 14.2941 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 181 = 10.0262 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 185 = 28.7484 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 186 = 10.6951 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 187 = 11.1044 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 236 = 11.3013 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 261 = 11.3522 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 262 = 12.9394 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 277 = -17.1435 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 308 = -11.1908 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Median sky-residual chi = 1.30483 QAPLOT_SKYSUB: sdR-b2-00034588.fit: Max sky-residual chi = 4.88959 at 6163.4611 Ang SKYSUBTRACT: sdR-b2-00034588.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034588.fit: Airmass range = 1.24811 1.29529 SKYSUBTRACT: sdR-b2-00034588.fit: Discarding 0.00355530 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 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1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034588.fit: Median sky-residual chi2 = 1.46146 SKYSUBTRACT: sdR-b2-00034588.fit: Max sky-residual chi2 = 11.6593 QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 1 = 23.4807 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 7 = -12.8923 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 14 = -18.0721 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 27 = 31.7396 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 53 = -13.1856 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 85 = -18.5429 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 110 = -19.8076 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 115 = -18.7706 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 154 = 17.6586 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 185 = 21.9718 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 202 = -15.1937 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 277 = -19.4093 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Warning: Median sky-sub flux in sky fiber 308 = -10.3977 electrons QAPLOT_SKYSUB: sdR-b2-00034588.fit: Median sky-residual chi = 1.22326 QAPLOT_SKYSUB: sdR-b2-00034588.fit: Max sky-residual chi = 4.94789 at 6163.4611 Ang % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b2-00034588.fit: Airmass range = 1.25 1.30 QAPLOT_SKYLINE: sdR-b2-00034588.fit: Flux dispersion for skyline 4359.5 = 17.28 % QAPLOT_SKYLINE: sdR-b2-00034588.fit: Airmass range = 1.25 1.30 QAPLOT_SKYLINE: sdR-b2-00034588.fit: Flux dispersion for skyline 5578.9 = 2.27 % SPADD_GUIDERINFO: sdR-b2-00034588.fit: Number of guider frames = 24 SPREDUCE: sdR-b2-00034588.fit: Elapsed time = 173. seconds SPREDUCE: sdR-b2-00034589.fit: Reading object sdR-b2-00034589.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034589.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034589.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034589.fit: Measured read-noise in DN for amp# 2 = 3.82245 SDSSPROC: sdR-b2-00034589.fit: Measured bias value in DN for amp# 2 = 1234.45 SDSSPROC: sdR-b2-00034589.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034589.fit: Amp #2 Number of pix below bias-5*sigma= 1215. DN is 0 SDSSPROC: sdR-b2-00034589.fit: Measured read-noise in DN for amp# 3 = 3.32230 SDSSPROC: sdR-b2-00034589.fit: Measured bias value in DN for amp# 3 = 1205.01 SDSSPROC: sdR-b2-00034589.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034589.fit: Amp #3 Number of pix below bias-5*sigma= 1188. DN is 0 SDSSPROC: sdR-b2-00034589.fit: Number of bleading columns = 2 SDSSPROC: sdR-b2-00034589.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034589.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034589.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034589.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034589.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034589.fit: Science 25-th-percentile = 384.545 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b2-00034589.fit: Whopping fibers: 5 12 14 23 27 32 34 40 46 64 70 76 86 96 102 105 112 130 132 141 149 154 157 197 202 205 207 209 217 223 226 238 244 251 262 275 277 303 312 316 EXTRACT_OBJECT: sdR-b2-00034589.fit: Median counts in all fibers = 11412.4 EXTRACT_OBJECT: sdR-b2-00034589.fit: Number of bright fibers = 40 EXTRACT_OBJECT: sdR-b2-00034589.fit: Sky fiber median 608.705 EXTRACT_OBJECT: sdR-b2-00034589.fit: 5% and 95% count levels 577.461 29869.6 EXTRACT_OBJECT: sdR-b2-00034589.fit: WARNING: Disable whopping terms sdR-b2-00034589.fit MATCH_TRACE: sdR-b2-00034589.fit: Iteration: 0 Pixels Rejected: 14799 Finished? 0 MATCH_TRACE: sdR-b2-00034589.fit: Iteration: 1 Pixels Rejected: 180 Finished? 0 MATCH_TRACE: sdR-b2-00034589.fit: Iteration: 2 Pixels Rejected: 16 Finished? 0 MATCH_TRACE: sdR-b2-00034589.fit: Iteration: 3 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: sdR-b2-00034589.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b2-00034589.fit: Shifting traces by match_trace 0.0520020 EXTRACT_OBJECT: sdR-b2-00034589.fit: Extracting frame sdR-b2-00034589.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034589.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.92 2.01 .0001 3 0.92 2.09 .0002 1 0.92 2.00 .0003 2 0.92 1.92 .0004 1 0.91 2.03 .0005 2 0.91 2.01 .0006 2 0.91 2.12 .0007 2 0.91 1.86 .0008 2 0.91 1.90 .0009 1 0.91 2.04 .0010 3 0.91 2.00 .0011 2 0.91 1.91 .0012 1 0.91 1.91 .0013 3 0.91 1.96 .0014 3 0.91 2.08 .0015 3 0.91 2.05 .0016 3 0.91 2.08 .0017 3 0.91 2.09 .0018 3 0.91 1.93 .0019 2 0.91 1.92 .0020 1 0.91 1.82 .0021 1 0.91 1.88 .0022 2 0.91 1.72 .0023 2 0.91 1.72 .0024 2 0.91 1.72 .0025 3 0.91 1.91 .0026 2 0.91 1.89 .0027 3 0.91 1.87 .0028 3 0.91 1.93 .0029 1 0.91 1.81 .0030 2 0.91 1.81 .0031 1 0.91 1.70 .0032 1 0.91 1.80 .0033 1 0.91 1.83 .0034 1 0.91 1.74 .0035 2 0.91 1.79 .0036 1 0.91 1.73 .0037 1 0.91 1.87 .0038 2 0.91 1.98 .0039 3 0.91 1.70 .0040 2 0.91 1.77 .0041 3 0.91 1.83 .0042 2 0.91 1.83 .0043 1 0.91 1.72 .0044 1 0.91 1.76 .0045 2 0.91 1.82 .0046 2 0.91 1.80 .0047 3 0.91 1.76 .0048 3 0.91 1.60 .0049 1 0.91 1.80 .0050 2 0.91 1.62 .0051 1 0.91 1.92 .0052 1 0.91 1.66 .0053 2 0.91 1.88 .0054 1 0.91 1.71 .0055 1 0.91 1.65 .0056 2 0.91 1.59 .0057 2 0.91 1.54 .0058 2 0.91 1.71 .0059 2 0.91 1.59 .0060 1 0.91 1.65 .0061 5 0.91 1.67 .0062 5 0.91 1.67 .0063 3 0.91 1.68 .0064 3 0.91 1.62 .0065 2 0.91 1.55 .0066 2 0.91 1.60 .0067 1 0.91 1.58 .0068 2 0.91 1.65 .0069 2 0.91 1.59 .0070 2 0.91 1.67 .0071 4 0.91 1.61 .0072 4 0.91 1.72 .0073 2 0.91 1.57 .0074 3 0.91 1.78 .0075 2 0.91 1.64 .0076 2 0.91 1.66 .0077 3 0.91 1.66 .0078 3 0.91 1.72 .0079 2 0.91 1.59 .0080 2 0.91 1.69 .0081 2 0.91 1.74 .0082 2 0.91 1.57 .0083 1 0.91 1.74 .0084 2 0.91 1.76 .0085 1 0.91 1.72 .0086 1 0.91 1.80 .0087 1 0.91 1.84 .0088 3 0.91 1.73 .0089 3 0.91 1.94 .0090 1 0.91 1.92 .0091 2 0.91 1.95 .0092 3 0.91 1.96 .0093 1 0.91 2.07 .0094 2 0.91 2.08 .0095 2 0.91 2.12 .0096 3 0.91 2.02 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0.90 3.27 .1929 3 0.90 3.82 .1930 2 0.90 3.58 .1931 1 0.90 3.36 .1932 5 0.90 3.43 .1933 3 0.90 3.39 .1934 2 0.90 3.40 .1935 2 0.90 3.43 .1936 1 0.90 3.28 .1937 1 0.90 3.25 .1938 1 0.90 3.48 .1939 2 0.90 3.37 .1940 1 0.90 3.67 .1941 3 0.90 3.45 .1942 2 0.90 3.68 .1943 1 0.90 3.41 .1944 2 0.90 3.38 .1945 2 0.90 3.80 .1946 2 0.90 3.65 .1947 2 0.90 3.29 .1948 2 0.90 3.31 .1949 1 0.90 3.61 .1950 1 0.90 3.63 .1951 3 0.90 3.38 .1952 1 0.90 3.50 .1953 1 0.90 3.71 .1954 2 0.90 3.28 .1955 2 0.90 3.39 .1956 2 0.90 3.31 .1957 1 0.90 3.38 .1958 1 0.90 3.15 .1959 1 0.90 3.14 .1960 2 0.90 2.93 .1961 3 0.90 2.95 .1962 3 0.90 2.98 .1963 2 0.90 2.93 .1964 2 0.90 2.93 .1965 2 0.90 3.06 .1966 2 0.90 2.70 .1967 2 0.90 2.84 .1968 2 0.90 2.88 .1969 2 0.90 2.60 .1970 1 0.90 2.85 .1971 2 0.90 2.76 .1972 3 0.90 2.74 .1973 2 0.90 2.73 .1974 3 0.90 2.76 .1975 2 0.90 2.86 .1976 2 0.90 3.11 .1977 2 0.90 2.64 .1978 3 0.90 2.84 .1979 1 0.90 2.75 .1980 2 0.90 2.77 .1981 3 0.90 2.89 .1982 4 0.90 3.00 .1983 3 0.90 2.99 .1984 2 0.90 2.87 .1985 2 0.90 2.89 .1986 2 0.90 2.90 .1987 1 0.90 2.97 .1988 3 0.90 3.07 .1989 2 0.90 3.15 .1990 2 0.90 3.08 .1991 2 0.90 3.11 .1992 2 0.90 3.28 .1993 2 0.90 3.16 .1994 3 0.90 3.09 .1995 1 0.90 3.37 .1996 2 0.90 3.33 .1997 2 0.90 3.31 .1998 2 0.90 3.41 .1999 2 0.90 3.41 .2000 1 0.90 3.22 .2001 3 0.90 3.14 .2002 1 0.90 3.01 .2003 1 0.90 3.20 .2004 3 0.90 3.24 .2005 3 0.90 3.09 .2006 3 0.90 3.32 .2007 4 0.90 3.24 .2008 3 0.90 3.09 .2009 3 0.90 3.23 .2010 1 0.90 2.99 .2011 2 0.90 3.13 .2012 4 0.90 3.02 .2013 3 0.90 3.10 .2014 2 0.90 2.89 .2015 7 0.90 2.95 .2016 2 0.90 2.88 .2017 1 0.90 2.52 .2018 3 0.90 2.79 .2019 2 0.90 2.74 .2020 1 0.90 2.66 .2021 3 0.90 2.52 .2022 1 0.90 2.53 .2023 2 0.90 2.66 .2024 1 0.90 2.45 .2025 2 0.91 2.69 .2026 4 0.91 2.50 .2027 2 0.91 2.42 .2028 1 0.91 2.56 .2029 2 0.91 2.29 .2030 2 0.91 2.59 .2031 3 0.91 2.62 .2032 4 0.91 2.29 .2033 3 0.91 2.60 .2034 2 0.91 2.84 .2035 3 0.91 2.73 .2036 1 0.91 2.42 .2037 1 0.91 2.45 .2038 2 0.91 2.63 .2039 4 0.91 2.38 .2040 2 0.91 2.38 .2041 2 0.91 2.57 .2042 3 0.91 2.67 .2043 2 0.91 3.09 .2044 4 0.91 2.79 .2045 2 0.91 2.77 .2046 2 0.91 2.52 .2047 4 0.91 2.51 EXTRACT_IMAGE: sdR-b2-00034589.fit: masked 2182 pixels EXTRACT_OBJECT: sdR-b2-00034589.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034589.fit: WARNING: Scattered light median = 95.5758 electrons QAPLOT_SCATLIGHT: sdR-b2-00034589.fit: WARNING: Scattered light max = 167.370 electrons EXTRACT_OBJECT: sdR-b2-00034589.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034589.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034589.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034589.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.01 0.06 Step 14 of 2080 0.62 64 0.03 0.11 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.03 0.13 Step 26 of 2080 0.61 64 0.03 0.11 Step 30 of 2080 0.61 64 0.03 0.11 Step 34 of 2080 0.61 64 0.03 0.12 Step 38 of 2080 0.61 64 0.03 0.11 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.02 0.11 Step 50 of 2080 0.61 64 0.02 0.14 Step 54 of 2080 0.61 64 0.02 0.13 Step 58 of 2080 0.61 64 0.02 0.14 Step 62 of 2080 0.61 64 0.02 0.13 Step 66 of 2080 0.61 64 0.02 0.12 Step 70 of 2080 0.61 64 0.02 0.14 Step 74 of 2080 0.61 64 0.02 0.13 Step 78 of 2080 0.61 64 0.02 0.13 Step 82 of 2080 0.61 64 0.02 0.14 Step 86 of 2080 0.61 64 0.02 0.12 Step 90 of 2080 0.61 64 0.02 0.12 Step 94 of 2080 0.61 64 0.03 0.13 Step 98 of 2080 0.60 64 0.03 0.13 Step 102 of 2080 0.60 64 0.03 0.13 Step 106 of 2080 0.60 64 0.03 0.14 Step 110 of 2080 0.60 64 0.03 0.13 Step 114 of 2080 0.60 64 0.03 0.13 Step 118 of 2080 0.60 64 0.03 0.13 Step 122 of 2080 0.60 64 0.03 0.13 Step 126 of 2080 0.60 64 0.03 0.13 Step 130 of 2080 0.60 64 0.03 0.13 Step 134 of 2080 0.60 64 0.03 0.13 Step 138 of 2080 0.60 64 0.03 0.13 Step 142 of 2080 0.60 64 0.03 0.13 Step 146 of 2080 0.60 64 0.03 0.14 Step 150 of 2080 0.60 64 0.03 0.13 Step 154 of 2080 0.60 64 0.03 0.12 Step 158 of 2080 0.60 64 0.03 0.15 Step 162 of 2080 0.60 64 0.03 0.13 Step 166 of 2080 0.60 64 0.03 0.12 Step 170 of 2080 0.60 64 0.03 0.12 Step 174 of 2080 0.60 64 0.03 0.12 Step 178 of 2080 0.59 64 0.04 0.13 Step 182 of 2080 0.59 64 0.04 0.15 Step 186 of 2080 0.59 64 0.04 0.14 Step 190 of 2080 0.59 64 0.05 0.15 Step 194 of 2080 0.59 64 0.04 0.15 Step 198 of 2080 0.59 64 0.04 0.14 Step 202 of 2080 0.59 64 0.04 0.15 Step 206 of 2080 0.59 64 0.05 0.15 Step 210 of 2080 0.59 64 0.04 0.15 Step 214 of 2080 0.59 64 0.05 0.14 Step 218 of 2080 0.59 64 0.05 0.15 Step 222 of 2080 0.59 64 0.04 0.14 Step 226 of 2080 0.59 64 0.05 0.15 Step 230 of 2080 0.59 64 0.04 0.15 Step 234 of 2080 0.59 64 0.03 0.13 Step 238 of 2080 0.59 64 0.05 0.14 Step 242 of 2080 0.59 64 0.06 0.15 Step 246 of 2080 0.59 64 0.05 0.15 Step 250 of 2080 0.59 64 0.04 0.13 Step 254 of 2080 0.59 64 0.03 0.14 Step 258 of 2080 0.58 64 0.04 0.14 Step 262 of 2080 0.58 64 0.04 0.13 Step 266 of 2080 0.58 64 0.03 0.13 Step 270 of 2080 0.58 64 0.04 0.14 Step 274 of 2080 0.58 64 0.04 0.15 Step 278 of 2080 0.58 64 0.04 0.14 Step 282 of 2080 0.58 64 0.04 0.14 Step 286 of 2080 0.58 64 0.04 0.15 Step 290 of 2080 0.58 64 0.04 0.14 Step 294 of 2080 0.58 64 0.04 0.14 Step 298 of 2080 0.58 64 0.04 0.14 Step 302 of 2080 0.58 64 0.04 0.14 Step 306 of 2080 0.58 64 0.04 0.15 Step 310 of 2080 0.58 64 0.04 0.12 Step 314 of 2080 0.58 64 0.04 0.13 Step 318 of 2080 0.58 64 0.03 0.13 Step 322 of 2080 0.58 64 0.03 0.13 Step 326 of 2080 0.58 64 0.03 0.12 Step 330 of 2080 0.58 64 0.03 0.12 Step 334 of 2080 0.58 64 0.03 0.12 Step 338 of 2080 0.57 64 0.03 0.12 Step 342 of 2080 0.57 64 0.03 0.13 Step 346 of 2080 0.57 64 0.02 0.13 Step 350 of 2080 0.57 64 0.03 0.16 Step 354 of 2080 0.57 64 0.03 0.13 Step 358 of 2080 0.57 64 0.03 0.13 Step 362 of 2080 0.57 64 0.03 0.13 Step 366 of 2080 0.57 64 0.04 0.14 Step 370 of 2080 0.57 64 0.03 0.13 Step 374 of 2080 0.57 64 0.03 0.14 Step 378 of 2080 0.57 64 0.02 0.14 Step 382 of 2080 0.57 64 0.03 0.14 Step 386 of 2080 0.57 64 0.03 0.14 Step 390 of 2080 0.57 64 0.02 0.12 Step 394 of 2080 0.57 64 0.03 0.13 Step 398 of 2080 0.57 64 0.02 0.11 Step 402 of 2080 0.57 64 0.05 0.14 Step 406 of 2080 0.57 64 0.04 0.13 Step 410 of 2080 0.57 64 0.04 0.15 Step 414 of 2080 0.57 64 0.05 0.17 Step 418 of 2080 0.56 64 0.04 0.14 Step 422 of 2080 0.56 64 0.04 0.13 Step 426 of 2080 0.56 64 0.04 0.13 Step 430 of 2080 0.56 64 0.04 0.12 Step 434 of 2080 0.56 64 0.04 0.12 Step 438 of 2080 0.56 64 0.04 0.14 Step 442 of 2080 0.56 64 0.03 0.14 Step 446 of 2080 0.56 64 0.05 0.15 Step 450 of 2080 0.56 64 0.04 0.14 Step 454 of 2080 0.56 64 0.04 0.13 Step 458 of 2080 0.56 64 0.05 0.14 Step 462 of 2080 0.56 64 0.04 0.14 Step 466 of 2080 0.56 64 0.05 0.14 Step 470 of 2080 0.56 64 0.04 0.12 Step 474 of 2080 0.56 64 0.05 0.13 Step 478 of 2080 0.56 64 0.04 0.11 Step 482 of 2080 0.56 64 0.04 0.12 Step 486 of 2080 0.56 64 0.05 0.13 Step 490 of 2080 0.56 64 0.04 0.12 Step 494 of 2080 0.56 64 0.04 0.12 Step 498 of 2080 0.56 64 0.04 0.12 Step 502 of 2080 0.55 64 0.04 0.12 Step 506 of 2080 0.55 64 0.04 0.11 Step 510 of 2080 0.55 64 0.04 0.11 Step 514 of 2080 0.55 64 0.04 0.11 Step 518 of 2080 0.55 64 0.04 0.11 Step 522 of 2080 0.55 64 0.04 0.12 Step 526 of 2080 0.55 64 0.04 0.11 Step 530 of 2080 0.55 64 0.05 0.13 Step 534 of 2080 0.55 64 0.05 0.12 Step 538 of 2080 0.55 64 0.05 0.12 Step 542 of 2080 0.55 64 0.05 0.12 Step 546 of 2080 0.55 64 0.04 0.12 Step 550 of 2080 0.55 64 0.05 0.13 Step 554 of 2080 0.55 64 0.05 0.12 Step 558 of 2080 0.55 64 0.05 0.14 Step 562 of 2080 0.55 64 0.04 0.13 Step 566 of 2080 0.55 64 0.05 0.14 Step 570 of 2080 0.55 64 0.05 0.15 Step 574 of 2080 0.55 64 0.06 0.17 Step 578 of 2080 0.55 64 0.05 0.15 Step 582 of 2080 0.54 64 0.05 0.15 Step 586 of 2080 0.54 64 0.06 0.16 Step 590 of 2080 0.54 64 0.05 0.15 Step 594 of 2080 0.54 64 0.04 0.14 Step 598 of 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0.13 Step 714 of 2080 0.53 64 0.06 0.14 Step 718 of 2080 0.53 64 0.05 0.13 Step 722 of 2080 0.53 64 0.06 0.14 Step 726 of 2080 0.53 64 0.06 0.13 Step 730 of 2080 0.53 64 0.07 0.15 Step 734 of 2080 0.53 64 0.06 0.16 Step 738 of 2080 0.53 64 0.05 0.14 Step 742 of 2080 0.53 64 0.06 0.14 Step 746 of 2080 0.52 64 0.05 0.15 Step 750 of 2080 0.52 64 0.04 0.15 Step 754 of 2080 0.52 64 0.04 0.16 Step 758 of 2080 0.52 64 0.04 0.14 Step 762 of 2080 0.52 64 0.04 0.14 Step 766 of 2080 0.52 64 0.05 0.14 Step 770 of 2080 0.52 64 0.04 0.14 Step 774 of 2080 0.52 64 0.06 0.15 Step 778 of 2080 0.52 64 0.05 0.15 Step 782 of 2080 0.52 64 0.05 0.15 Step 786 of 2080 0.52 64 0.05 0.15 Step 790 of 2080 0.52 64 0.04 0.13 Step 794 of 2080 0.52 64 0.05 0.14 Step 798 of 2080 0.52 64 0.05 0.14 Step 802 of 2080 0.52 64 0.05 0.15 Step 806 of 2080 0.52 64 0.05 0.15 Step 810 of 2080 0.52 64 0.06 0.17 Step 814 of 2080 0.52 64 0.05 0.14 Step 818 of 2080 0.52 64 0.06 0.14 Step 822 of 2080 0.52 64 0.07 0.15 Step 826 of 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0.06 0.17 Step 1166 of 2080 0.48 64 0.06 0.16 Step 1170 of 2080 0.48 64 0.06 0.16 Step 1174 of 2080 0.47 64 0.06 0.16 Step 1178 of 2080 0.47 64 0.06 0.15 Step 1182 of 2080 0.47 64 0.05 0.15 Step 1186 of 2080 0.47 64 0.05 0.15 Step 1190 of 2080 0.47 64 0.04 0.15 Step 1194 of 2080 0.47 64 0.05 0.16 Step 1198 of 2080 0.47 64 0.05 0.15 Step 1202 of 2080 0.47 64 0.06 0.16 Step 1206 of 2080 0.47 64 0.04 0.15 Step 1210 of 2080 0.47 64 0.04 0.15 Step 1214 of 2080 0.47 64 0.05 0.17 Step 1218 of 2080 0.47 64 0.04 0.15 Step 1222 of 2080 0.47 64 0.06 0.18 Step 1226 of 2080 0.47 64 0.05 0.16 Step 1230 of 2080 0.47 64 0.05 0.15 Step 1234 of 2080 0.47 64 0.05 0.13 Step 1238 of 2080 0.47 64 0.06 0.13 Step 1242 of 2080 0.47 64 0.05 0.13 Step 1246 of 2080 0.47 64 0.05 0.13 Step 1250 of 2080 0.47 64 0.05 0.13 Step 1254 of 2080 0.47 64 0.05 0.13 Step 1258 of 2080 0.47 64 0.05 0.15 Step 1262 of 2080 0.46 64 0.05 0.14 Step 1266 of 2080 0.46 64 0.04 0.12 Step 1270 of 2080 0.46 64 0.04 0.12 Step 1274 of 2080 0.46 64 0.04 0.12 Step 1278 of 2080 0.46 64 0.04 0.12 Step 1282 of 2080 0.46 64 0.04 0.12 Step 1286 of 2080 0.46 64 0.05 0.12 Step 1290 of 2080 0.46 64 0.05 0.12 Step 1294 of 2080 0.46 64 0.04 0.12 Step 1298 of 2080 0.46 64 0.04 0.12 Step 1302 of 2080 0.46 64 0.04 0.12 Step 1306 of 2080 0.46 64 0.04 0.12 Step 1310 of 2080 0.46 64 0.04 0.11 Step 1314 of 2080 0.46 64 0.04 0.12 Step 1318 of 2080 0.46 64 0.04 0.13 Step 1322 of 2080 0.46 64 0.03 0.13 Step 1326 of 2080 0.46 64 0.03 0.13 Step 1330 of 2080 0.46 64 0.03 0.12 Step 1334 of 2080 0.46 64 0.03 0.12 Step 1338 of 2080 0.46 64 0.03 0.14 Step 1342 of 2080 0.46 64 0.03 0.14 Step 1346 of 2080 0.46 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.03 0.12 Step 1354 of 2080 0.45 64 0.04 0.12 Step 1358 of 2080 0.45 64 0.04 0.13 Step 1362 of 2080 0.45 64 0.04 0.12 Step 1366 of 2080 0.45 64 0.04 0.12 Step 1370 of 2080 0.45 64 0.04 0.12 Step 1374 of 2080 0.45 64 0.04 0.12 Step 1378 of 2080 0.45 64 0.04 0.12 Step 1382 of 2080 0.45 64 0.04 0.13 Step 1386 of 2080 0.45 64 0.04 0.12 Step 1390 of 2080 0.45 64 0.04 0.12 Step 1394 of 2080 0.45 64 0.04 0.12 Step 1398 of 2080 0.45 64 0.04 0.12 Step 1402 of 2080 0.45 64 0.04 0.12 Step 1406 of 2080 0.45 64 0.04 0.14 Step 1410 of 2080 0.45 64 0.04 0.13 Step 1414 of 2080 0.45 64 0.04 0.14 Step 1418 of 2080 0.45 64 0.04 0.14 Step 1422 of 2080 0.45 64 0.05 0.15 Step 1426 of 2080 0.45 64 0.04 0.15 Step 1430 of 2080 0.45 64 0.04 0.15 Step 1434 of 2080 0.45 64 0.05 0.15 Step 1438 of 2080 0.44 64 0.05 0.15 Step 1442 of 2080 0.44 64 0.04 0.13 Step 1446 of 2080 0.44 64 0.04 0.13 Step 1450 of 2080 0.44 64 0.04 0.13 Step 1454 of 2080 0.44 64 0.05 0.14 Step 1458 of 2080 0.44 64 0.03 0.13 Step 1462 of 2080 0.44 64 0.03 0.12 Step 1466 of 2080 0.44 64 0.03 0.12 Step 1470 of 2080 0.44 64 0.03 0.12 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.03 0.13 Step 1482 of 2080 0.44 64 0.03 0.12 Step 1486 of 2080 0.44 64 0.03 0.13 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.04 0.13 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.04 0.13 Step 1506 of 2080 0.44 64 0.04 0.15 Step 1510 of 2080 0.44 64 0.04 0.14 Step 1514 of 2080 0.44 64 0.04 0.14 Step 1518 of 2080 0.44 64 0.04 0.14 Step 1522 of 2080 0.44 64 0.04 0.15 Step 1526 of 2080 0.44 64 0.05 0.16 Step 1530 of 2080 0.43 64 0.06 0.19 Step 1534 of 2080 0.43 64 0.06 0.16 Step 1538 of 2080 0.43 64 0.04 0.14 Step 1542 of 2080 0.43 64 0.03 0.12 Step 1546 of 2080 0.43 64 0.05 0.14 Step 1550 of 2080 0.43 64 0.04 0.13 Step 1554 of 2080 0.43 64 0.04 0.13 Step 1558 of 2080 0.43 64 0.04 0.14 Step 1562 of 2080 0.43 64 0.03 0.13 Step 1566 of 2080 0.43 64 0.05 0.15 Step 1570 of 2080 0.43 64 0.04 0.15 Step 1574 of 2080 0.43 64 0.04 0.14 Step 1578 of 2080 0.43 64 0.05 0.14 Step 1582 of 2080 0.43 64 0.06 0.15 Step 1586 of 2080 0.43 64 0.05 0.15 Step 1590 of 2080 0.43 64 0.05 0.15 Step 1594 of 2080 0.43 64 0.06 0.15 Step 1598 of 2080 0.43 64 0.05 0.15 Step 1602 of 2080 0.43 64 0.05 0.15 Step 1606 of 2080 0.43 64 0.03 0.13 Step 1610 of 2080 0.43 64 0.04 0.13 Step 1614 of 2080 0.43 64 0.04 0.15 Step 1618 of 2080 0.43 64 0.04 0.15 Step 1622 of 2080 0.42 64 0.03 0.14 Step 1626 of 2080 0.42 64 0.04 0.12 Step 1630 of 2080 0.42 64 0.04 0.13 Step 1634 of 2080 0.42 64 0.05 0.13 Step 1638 of 2080 0.42 64 0.05 0.13 Step 1642 of 2080 0.42 64 0.05 0.14 Step 1646 of 2080 0.42 64 0.05 0.14 Step 1650 of 2080 0.42 64 0.05 0.14 Step 1654 of 2080 0.42 64 0.04 0.13 Step 1658 of 2080 0.42 64 0.05 0.15 Step 1662 of 2080 0.42 64 0.06 0.15 Step 1666 of 2080 0.42 64 0.05 0.14 Step 1670 of 2080 0.42 64 0.04 0.14 Step 1674 of 2080 0.42 64 0.05 0.14 Step 1678 of 2080 0.42 64 0.05 0.14 Step 1682 of 2080 0.42 64 0.05 0.14 Step 1686 of 2080 0.42 64 0.05 0.13 Step 1690 of 2080 0.42 64 0.04 0.13 Step 1694 of 2080 0.42 64 0.05 0.13 Step 1698 of 2080 0.42 64 0.05 0.13 Step 1702 of 2080 0.42 64 0.04 0.13 Step 1706 of 2080 0.42 64 0.04 0.12 Step 1710 of 2080 0.42 64 0.04 0.12 Step 1714 of 2080 0.42 64 0.05 0.12 Step 1718 of 2080 0.41 64 0.04 0.12 Step 1722 of 2080 0.41 64 0.04 0.11 Step 1726 of 2080 0.41 64 0.04 0.12 Step 1730 of 2080 0.41 64 0.04 0.12 Step 1734 of 2080 0.41 64 0.04 0.12 Step 1738 of 2080 0.41 64 0.04 0.11 Step 1742 of 2080 0.41 64 0.04 0.11 Step 1746 of 2080 0.41 64 0.04 0.11 Step 1750 of 2080 0.41 64 0.04 0.12 Step 1754 of 2080 0.41 64 0.04 0.11 Step 1758 of 2080 0.41 64 0.04 0.12 Step 1762 of 2080 0.41 64 0.05 0.13 Step 1766 of 2080 0.41 64 0.05 0.13 Step 1770 of 2080 0.41 64 0.05 0.13 Step 1774 of 2080 0.41 64 0.05 0.13 Step 1778 of 2080 0.41 64 0.06 0.16 Step 1782 of 2080 0.41 64 0.06 0.16 Step 1786 of 2080 0.41 64 0.06 0.16 Step 1790 of 2080 0.41 64 0.06 0.14 Step 1794 of 2080 0.41 64 0.06 0.15 Step 1798 of 2080 0.41 64 0.05 0.17 Step 1802 of 2080 0.41 64 0.07 0.16 Step 1806 of 2080 0.41 64 0.06 0.14 Step 1810 of 2080 0.41 64 0.05 0.13 Step 1814 of 2080 0.40 64 0.05 0.14 Step 1818 of 2080 0.40 64 0.05 0.15 Step 1822 of 2080 0.40 64 0.07 0.17 Step 1826 of 2080 0.40 64 0.05 0.15 Step 1830 of 2080 0.40 64 0.05 0.16 Step 1834 of 2080 0.40 64 0.06 0.16 Step 1838 of 2080 0.40 64 0.06 0.15 Step 1842 of 2080 0.40 64 0.08 0.17 Step 1846 of 2080 0.40 64 0.07 0.16 Step 1850 of 2080 0.40 64 0.06 0.16 Step 1854 of 2080 0.40 64 0.06 0.15 Step 1858 of 2080 0.40 64 0.06 0.16 Step 1862 of 2080 0.40 64 0.07 0.16 Step 1866 of 2080 0.40 64 0.04 0.14 Step 1870 of 2080 0.40 64 0.05 0.15 Step 1874 of 2080 0.40 64 0.04 0.12 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.04 0.13 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.04 0.13 Step 1898 of 2080 0.40 64 0.04 0.12 Step 1902 of 2080 0.40 64 0.04 0.12 Step 1906 of 2080 0.40 64 0.04 0.12 Step 1910 of 2080 0.39 64 0.04 0.12 Step 1914 of 2080 0.39 64 0.04 0.12 Step 1918 of 2080 0.39 64 0.04 0.12 Step 1922 of 2080 0.39 64 0.04 0.12 Step 1926 of 2080 0.39 64 0.04 0.12 Step 1930 of 2080 0.39 64 0.04 0.12 Step 1934 of 2080 0.39 64 0.04 0.12 Step 1938 of 2080 0.39 64 0.05 0.12 Step 1942 of 2080 0.39 64 0.05 0.12 Step 1946 of 2080 0.39 64 0.05 0.12 Step 1950 of 2080 0.39 64 0.05 0.12 Step 1954 of 2080 0.39 64 0.05 0.12 Step 1958 of 2080 0.39 64 0.05 0.12 Step 1962 of 2080 0.39 64 0.05 0.12 Step 1966 of 2080 0.39 64 0.05 0.12 Step 1970 of 2080 0.39 64 0.05 0.13 Step 1974 of 2080 0.39 64 0.06 0.15 Step 1978 of 2080 0.39 64 0.04 0.15 Step 1982 of 2080 0.39 64 0.04 0.14 Step 1986 of 2080 0.39 64 0.03 0.13 Step 1990 of 2080 0.39 64 0.04 0.13 Step 1994 of 2080 0.39 64 0.04 0.12 Step 1998 of 2080 0.39 64 0.04 0.12 Step 2002 of 2080 0.39 64 0.04 0.14 Step 2006 of 2080 0.39 64 0.04 0.13 Step 2010 of 2080 0.38 64 0.04 0.13 Step 2014 of 2080 0.38 64 0.04 0.13 Step 2018 of 2080 0.38 64 0.04 0.13 Step 2022 of 2080 0.38 64 0.03 0.13 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.04 0.12 Step 2038 of 2080 0.38 64 0.04 0.12 Step 2042 of 2080 0.38 64 0.04 0.12 Step 2046 of 2080 0.38 64 0.03 0.12 Step 2050 of 2080 0.38 64 0.04 0.12 Step 2054 of 2080 0.38 64 0.04 0.12 Step 2058 of 2080 0.38 64 0.04 0.12 Step 2062 of 2080 0.38 64 0.04 0.12 Step 2066 of 2080 0.38 64 0.04 0.12 Step 2070 of 2080 0.38 64 0.04 0.13 Step 2074 of 2080 0.38 64 0.05 0.13 Step 2078 of 2080 0.38 64 0.05 0.14 EXTRACT_OBJECT: sdR-b2-00034589.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 1 0.92 2.70 .0001 2 0.92 3.60 .0002 1 0.92 3.93 .0003 2 0.92 3.98 .0004 1 0.91 4.13 .0005 1 0.91 4.48 .0006 2 0.91 4.39 .0007 1 0.91 4.47 .0008 2 0.91 4.01 .0009 1 0.91 3.95 .0010 2 0.91 4.23 .0011 1 0.91 4.29 .0012 1 0.91 3.69 .0013 3 0.91 3.60 .0014 2 0.91 3.84 .0015 2 0.91 3.81 .0016 3 0.91 3.64 .0017 2 0.91 3.50 .0018 3 0.91 3.27 .0019 2 0.91 3.33 .0020 1 0.91 2.92 .0021 1 0.91 2.96 .0022 2 0.91 3.04 .0023 2 0.91 2.62 .0024 2 0.91 2.60 .0025 3 0.91 2.73 .0026 2 0.91 2.54 .0027 3 0.91 2.44 .0028 3 0.91 2.40 .0029 1 0.91 2.29 .0030 2 0.91 2.26 .0031 1 0.91 2.06 .0032 1 0.91 2.16 .0033 1 0.91 2.12 .0034 1 0.91 1.93 .0035 2 0.91 2.02 .0036 1 0.91 1.88 .0037 1 0.91 1.98 .0038 2 0.91 2.03 .0039 3 0.91 1.77 .0040 2 0.91 1.76 .0041 3 0.91 1.76 .0042 2 0.91 1.70 .0043 1 0.91 1.64 .0044 1 0.91 1.70 .0045 2 0.91 1.65 .0046 2 0.91 1.69 .0047 3 0.91 1.67 .0048 3 0.91 1.49 .0049 1 0.91 1.70 .0050 2 0.91 1.54 .0051 1 0.91 1.78 .0052 1 0.91 1.51 .0053 2 0.91 1.68 .0054 1 0.91 1.56 .0055 1 0.91 1.52 .0056 2 0.91 1.41 .0057 2 0.91 1.42 .0058 2 0.91 1.58 .0059 2 0.91 1.45 .0060 1 0.91 1.51 .0061 4 0.91 1.50 .0062 5 0.91 1.49 .0063 4 0.91 1.45 .0064 3 0.91 1.44 .0065 2 0.91 1.38 .0066 2 0.91 1.47 .0067 1 0.91 1.46 .0068 2 0.91 1.50 .0069 2 0.91 1.43 .0070 2 0.91 1.50 .0071 4 0.91 1.44 .0072 4 0.91 1.56 .0073 2 0.91 1.41 .0074 3 0.91 1.62 .0075 2 0.91 1.49 .0076 2 0.91 1.52 .0077 3 0.91 1.51 .0078 4 0.91 1.49 .0079 2 0.91 1.44 .0080 2 0.91 1.55 .0081 2 0.91 1.60 .0082 2 0.91 1.40 .0083 1 0.91 1.56 .0084 2 0.91 1.59 .0085 1 0.91 1.56 .0086 1 0.91 1.64 .0087 1 0.91 1.66 .0088 3 0.91 1.58 .0089 3 0.91 1.79 .0090 1 0.91 1.76 .0091 2 0.91 1.78 .0092 3 0.91 1.79 .0093 1 0.91 1.91 .0094 2 0.91 1.93 .0095 2 0.91 1.97 .0096 3 0.91 1.83 .0097 1 0.91 2.09 .0098 3 0.91 1.95 .0099 1 0.91 2.03 .0100 1 0.91 1.92 .0101 1 0.91 1.98 .0102 2 0.91 2.07 .0103 1 0.91 2.02 .0104 1 0.91 2.09 .0105 1 0.91 2.01 .0106 1 0.91 2.14 .0107 2 0.91 2.16 .0108 2 0.91 2.31 .0109 1 0.91 2.12 .0110 2 0.91 2.31 .0111 5 0.91 2.20 .0112 4 0.91 2.22 .0113 3 0.91 2.13 .0114 2 0.91 2.07 .0115 3 0.91 2.06 .0116 2 0.91 2.18 .0117 1 0.91 2.19 .0118 3 0.91 2.00 .0119 3 0.91 2.19 .0120 3 0.91 2.01 .0121 1 0.91 2.03 .0122 3 0.91 2.03 .0123 2 0.91 2.14 .0124 3 0.91 2.18 .0125 2 0.91 2.03 .0126 2 0.91 2.03 .0127 1 0.91 2.10 .0128 2 0.91 1.98 .0129 3 0.91 1.98 .0130 2 0.91 2.25 .0131 3 0.91 2.12 .0132 2 0.91 1.98 .0133 3 0.91 2.15 .0134 5 0.91 2.16 .0135 3 0.91 2.28 .0136 2 0.91 1.95 .0137 3 0.91 2.11 .0138 2 0.91 1.98 .0139 4 0.91 2.27 .0140 2 0.91 2.02 .0141 3 0.91 1.91 .0142 1 0.91 2.29 .0143 1 0.91 2.07 .0144 2 0.91 1.98 .0145 2 0.91 2.02 .0146 2 0.91 2.04 .0147 2 0.91 2.03 .0148 2 0.91 2.15 .0149 1 0.91 2.06 .0150 2 0.91 2.09 .0151 2 0.91 2.12 .0152 1 0.91 2.15 .0153 4 0.91 2.07 .0154 4 0.91 2.21 .0155 2 0.91 2.11 .0156 2 0.91 2.09 .0157 2 0.91 2.17 .0158 3 0.91 2.19 .0159 4 0.91 2.38 .0160 3 0.91 2.27 .0161 2 0.91 2.11 .0162 2 0.91 2.14 .0163 2 0.91 2.15 .0164 1 0.91 2.10 .0165 1 0.91 2.16 .0166 1 0.91 2.27 .0167 4 0.91 2.18 .0168 2 0.91 2.09 .0169 1 0.91 2.25 .0170 1 0.91 2.06 .0171 1 0.91 2.15 .0172 3 0.91 2.17 .0173 4 0.91 2.30 .0174 3 0.91 2.25 .0175 4 0.91 2.17 .0176 3 0.91 2.30 .0177 2 0.91 2.21 .0178 1 0.91 2.26 .0179 3 0.91 2.12 .0180 3 0.91 2.18 .0181 1 0.91 2.10 .0182 3 0.91 2.06 .0183 1 0.91 2.22 .0184 1 0.91 2.15 .0185 1 0.91 2.13 .0186 1 0.91 2.06 .0187 2 0.91 2.24 .0188 1 0.91 2.17 .0189 1 0.91 2.24 .0190 2 0.91 2.36 .0191 3 0.91 2.13 .0192 2 0.91 2.06 .0193 1 0.91 2.04 .0194 1 0.91 2.23 .0195 1 0.91 2.28 .0196 3 0.91 2.32 .0197 1 0.91 2.14 .0198 1 0.91 2.14 .0199 3 0.91 2.15 .0200 1 0.91 2.24 .0201 1 0.91 2.26 .0202 2 0.91 2.07 .0203 1 0.91 2.19 .0204 1 0.91 2.30 .0205 1 0.91 2.08 .0206 1 0.91 2.25 .0207 1 0.91 2.30 .0208 2 0.91 2.30 .0209 1 0.91 2.12 .0210 2 0.91 2.23 .0211 2 0.91 2.15 .0212 2 0.91 2.17 .0213 1 0.91 2.17 .0214 1 0.91 2.13 .0215 2 0.91 2.21 .0216 2 0.91 2.08 .0217 2 0.91 2.07 .0218 2 0.91 2.30 .0219 2 0.91 2.20 .0220 2 0.91 2.37 .0221 2 0.91 2.01 .0222 1 0.91 2.18 .0223 2 0.91 2.04 .0224 2 0.91 2.11 .0225 2 0.91 2.20 .0226 1 0.91 2.01 .0227 1 0.91 2.12 .0228 3 0.91 2.19 .0229 2 0.91 2.12 .0230 1 0.91 2.27 .0231 3 0.91 2.10 .0232 2 0.91 2.31 .0233 1 0.91 2.23 .0234 1 0.91 2.19 .0235 2 0.91 2.21 .0236 4 0.91 2.30 .0237 2 0.91 2.37 .0238 1 0.91 2.23 .0239 1 0.91 2.21 .0240 3 0.91 2.44 .0241 1 0.91 2.40 .0242 2 0.91 2.22 .0243 3 0.91 2.34 .0244 3 0.91 2.19 .0245 3 0.91 2.47 .0246 3 0.91 2.49 .0247 2 0.91 2.29 .0248 3 0.91 2.19 .0249 3 0.91 2.17 .0250 4 0.91 2.25 .0251 4 0.91 2.24 .0252 4 0.91 2.21 .0253 3 0.91 2.39 .0254 2 0.91 2.54 .0255 3 0.91 2.35 .0256 2 0.91 2.43 .0257 2 0.91 2.54 .0258 1 0.91 2.27 .0259 2 0.91 2.19 .0260 2 0.91 2.35 .0261 3 0.91 2.38 .0262 1 0.91 2.31 .0263 1 0.91 2.34 .0264 3 0.91 2.17 .0265 2 0.91 2.21 .0266 3 0.91 2.57 .0267 3 0.91 2.31 .0268 1 0.91 2.25 .0269 2 0.91 2.29 .0270 1 0.91 2.26 .0271 3 0.91 2.37 .0272 2 0.91 2.40 .0273 1 0.91 2.47 .0274 1 0.91 2.31 .0275 3 0.91 2.34 .0276 2 0.91 2.50 .0277 2 0.91 2.51 .0278 1 0.91 2.45 .0279 1 0.91 2.32 .0280 1 0.91 2.40 .0281 1 0.91 2.39 .0282 1 0.91 2.32 .0283 2 0.91 2.38 .0284 3 0.91 2.40 .0285 2 0.91 2.37 .0286 1 0.91 2.45 .0287 1 0.91 2.58 .0288 2 0.91 2.34 .0289 1 0.91 2.31 .0290 1 0.91 2.46 .0291 2 0.91 2.47 .0292 2 0.91 2.43 .0293 3 0.91 2.49 .0294 2 0.91 2.66 .0295 2 0.91 2.63 .0296 2 0.91 2.53 .0297 1 0.91 2.84 .0298 3 0.91 2.69 .0299 3 0.91 2.71 .0300 1 0.91 2.57 .0301 1 0.91 2.51 .0302 1 0.91 2.42 .0303 1 0.91 2.46 .0304 2 0.91 2.77 .0305 1 0.91 2.53 .0306 3 0.91 2.56 .0307 2 0.91 2.64 .0308 2 0.91 2.75 .0309 1 0.91 2.77 .0310 2 0.91 2.66 .0311 2 0.91 2.55 .0312 2 0.91 2.74 .0313 1 0.91 2.67 .0314 1 0.91 2.66 .0315 2 0.91 2.85 .0316 2 0.91 2.87 .0317 2 0.91 2.81 .0318 1 0.91 2.69 .0319 1 0.91 2.63 .0320 2 0.91 2.87 .0321 2 0.91 2.85 .0322 3 0.91 2.72 .0323 2 0.91 2.69 .0324 1 0.91 2.71 .0325 1 0.91 2.69 .0326 2 0.91 2.79 .0327 3 0.91 2.87 .0328 1 0.91 2.84 .0329 1 0.91 2.82 .0330 1 0.91 2.71 .0331 2 0.91 2.98 .0332 2 0.91 2.96 .0333 1 0.91 2.73 .0334 1 0.91 2.80 .0335 2 0.91 2.98 .0336 2 0.91 3.05 .0337 3 0.91 2.87 .0338 2 0.91 2.82 .0339 1 0.91 3.23 .0340 2 0.91 2.84 .0341 2 0.91 2.84 .0342 1 0.90 2.88 .0343 1 0.90 3.15 .0344 3 0.90 3.04 .0345 2 0.90 2.87 .0346 1 0.90 2.89 .0347 1 0.90 3.02 .0348 3 0.90 3.21 .0349 3 0.90 2.97 .0350 1 0.90 3.08 .0351 2 0.90 3.28 .0352 1 0.90 3.11 .0353 1 0.90 2.95 .0354 1 0.90 3.00 .0355 2 0.90 3.16 .0356 3 0.90 3.12 .0357 2 0.90 3.29 .0358 1 0.90 3.27 .0359 1 0.90 3.04 .0360 3 0.90 3.05 .0361 2 0.90 3.42 .0362 1 0.90 3.17 .0363 3 0.90 2.98 .0364 1 0.90 3.01 .0365 1 0.90 3.00 .0366 1 0.90 3.04 .0367 1 0.90 3.29 .0368 1 0.90 3.12 .0369 1 0.90 3.04 .0370 1 0.90 3.10 .0371 2 0.90 3.14 .0372 1 0.90 3.10 .0373 1 0.90 3.07 .0374 2 0.90 3.01 .0375 3 0.90 3.29 .0376 1 0.90 3.24 .0377 1 0.90 3.23 .0378 2 0.90 3.19 .0379 2 0.90 3.21 .0380 2 0.90 3.27 .0381 2 0.90 3.73 .0382 1 0.90 2.98 .0383 2 0.90 3.13 .0384 1 0.90 3.45 .0385 1 0.90 3.04 .0386 1 0.90 3.25 .0387 2 0.90 3.07 .0388 3 0.90 3.44 .0389 3 0.90 3.07 .0390 2 0.90 3.10 .0391 1 0.90 3.21 .0392 1 0.90 3.10 .0393 2 0.90 3.54 .0394 2 0.90 3.39 .0395 1 0.90 3.44 .0396 3 0.90 3.60 .0397 5 0.90 3.59 .0398 4 0.90 3.49 .0399 2 0.90 3.62 .0400 1 0.90 3.27 .0401 1 0.90 3.22 .0402 1 0.90 3.20 .0403 2 0.90 3.39 .0404 2 0.90 3.18 .0405 1 0.90 3.07 .0406 4 0.90 3.20 .0407 1 0.90 3.23 .0408 2 0.90 3.23 .0409 3 0.90 3.34 .0410 2 0.90 3.14 .0411 1 0.90 3.19 .0412 2 0.90 3.17 .0413 1 0.90 3.34 .0414 1 0.90 3.13 .0415 2 0.90 3.20 .0416 2 0.90 3.08 .0417 1 0.90 3.21 .0418 1 0.90 3.19 .0419 1 0.90 3.41 .0420 2 0.90 3.10 .0421 2 0.90 3.48 .0422 2 0.90 3.34 .0423 2 0.90 3.18 .0424 3 0.90 3.33 .0425 2 0.90 3.38 .0426 4 0.90 3.15 .0427 4 0.90 3.13 .0428 2 0.90 3.05 .0429 2 0.90 3.07 .0430 1 0.90 3.19 .0431 2 0.90 3.04 .0432 2 0.90 3.27 .0433 2 0.90 3.42 .0434 2 0.90 3.21 .0435 2 0.90 3.17 .0436 2 0.90 3.22 .0437 3 0.90 3.30 .0438 2 0.90 3.30 .0439 1 0.90 3.27 .0440 2 0.90 3.18 .0441 4 0.90 3.56 .0442 2 0.90 3.11 .0443 2 0.90 3.59 .0444 3 0.90 2.98 .0445 3 0.90 3.18 .0446 2 0.90 3.27 .0447 1 0.90 3.04 .0448 2 0.90 3.19 .0449 2 0.90 3.17 .0450 1 0.90 3.23 .0451 1 0.90 3.34 .0452 2 0.90 2.98 .0453 2 0.90 2.94 .0454 3 0.90 2.81 .0455 2 0.90 3.01 .0456 1 0.90 2.96 .0457 2 0.90 3.21 .0458 2 0.90 3.06 .0459 1 0.90 2.98 .0460 2 0.90 3.02 .0461 2 0.90 3.06 .0462 1 0.90 3.19 .0463 1 0.90 3.23 .0464 1 0.90 2.98 .0465 1 0.90 3.18 .0466 2 0.90 3.30 .0467 1 0.90 3.34 .0468 2 0.90 3.27 .0469 1 0.90 3.23 .0470 1 0.90 3.14 .0471 1 0.90 3.26 .0472 2 0.90 3.03 .0473 2 0.90 3.11 .0474 4 0.90 3.38 .0475 3 0.90 3.15 .0476 3 0.90 3.21 .0477 1 0.90 3.18 .0478 1 0.90 3.23 .0479 1 0.90 3.46 .0480 1 0.90 3.29 .0481 2 0.90 3.28 .0482 3 0.90 3.15 .0483 3 0.90 3.12 .0484 1 0.90 3.27 .0485 1 0.90 2.98 .0486 1 0.90 3.25 .0487 1 0.90 3.15 .0488 1 0.90 3.19 .0489 2 0.90 3.34 .0490 3 0.90 3.19 .0491 1 0.90 3.41 .0492 2 0.90 3.25 .0493 1 0.90 3.15 .0494 2 0.90 3.00 .0495 1 0.90 3.12 .0496 1 0.90 3.40 .0497 3 0.90 3.19 .0498 1 0.90 3.01 .0499 1 0.90 3.12 .0500 1 0.90 3.07 .0501 1 0.90 2.94 .0502 1 0.90 3.12 .0503 2 0.90 3.03 .0504 1 0.90 3.41 .0505 2 0.90 3.13 .0506 1 0.90 3.18 .0507 1 0.90 3.05 .0508 1 0.90 2.97 .0509 1 0.90 3.16 .0510 3 0.90 3.34 .0511 1 0.90 3.10 .0512 2 0.90 3.26 .0513 2 0.90 3.04 .0514 2 0.90 3.18 .0515 2 0.90 3.62 .0516 3 0.90 3.06 .0517 2 0.90 3.08 .0518 1 0.90 3.28 .0519 2 0.90 3.11 .0520 1 0.90 3.00 .0521 1 0.90 3.31 .0522 3 0.90 3.08 .0523 2 0.90 3.15 .0524 3 0.90 3.12 .0525 2 0.90 3.16 .0526 1 0.90 3.10 .0527 1 0.90 3.20 .0528 1 0.90 3.23 .0529 1 0.90 3.17 .0530 2 0.90 3.26 .0531 2 0.90 3.30 .0532 2 0.90 3.12 .0533 1 0.90 3.22 .0534 6 0.90 3.41 .0535 3 0.90 2.95 .0536 2 0.90 3.31 .0537 2 0.90 3.31 .0538 2 0.90 3.23 .0539 4 0.90 3.06 .0540 3 0.90 3.37 .0541 2 0.90 3.50 .0542 4 0.90 3.09 .0543 2 0.90 3.01 .0544 1 0.90 3.22 .0545 2 0.90 3.24 .0546 2 0.90 3.29 .0547 2 0.90 3.36 .0548 2 0.90 3.11 .0549 2 0.90 3.21 .0550 2 0.90 3.45 .0551 2 0.90 3.11 .0552 2 0.90 3.19 .0553 2 0.90 3.16 .0554 3 0.90 3.48 .0555 1 0.90 3.40 .0556 1 0.90 3.07 .0557 2 0.90 3.06 .0558 1 0.90 3.17 .0559 2 0.90 2.98 .0560 2 0.90 3.18 .0561 1 0.90 3.00 .0562 2 0.90 3.11 .0563 2 0.90 3.26 .0564 3 0.90 3.05 .0565 2 0.90 3.10 .0566 1 0.90 3.11 .0567 1 0.90 3.02 .0568 2 0.90 3.21 .0569 1 0.90 3.22 .0570 2 0.90 3.22 .0571 2 0.90 3.28 .0572 1 0.90 3.25 .0573 2 0.90 3.10 .0574 1 0.90 3.17 .0575 1 0.90 3.26 .0576 3 0.90 3.04 .0577 3 0.90 3.22 .0578 2 0.90 3.26 .0579 3 0.90 3.17 .0580 2 0.90 3.09 .0581 3 0.90 3.27 .0582 5 0.90 2.82 .0583 2 0.90 3.17 .0584 2 0.90 2.88 .0585 2 0.90 3.12 .0586 1 0.90 3.04 .0587 1 0.90 2.96 .0588 2 0.90 3.18 .0589 3 0.90 3.21 .0590 3 0.90 2.91 .0591 1 0.90 2.93 .0592 2 0.90 3.04 .0593 2 0.90 2.99 .0594 1 0.90 2.95 .0595 1 0.90 3.07 .0596 1 0.90 2.98 .0597 2 0.90 2.83 .0598 1 0.90 3.00 .0599 1 0.90 2.87 .0600 1 0.90 2.92 .0601 1 0.90 2.99 .0602 1 0.90 3.12 .0603 2 0.90 2.94 .0604 1 0.90 3.02 .0605 1 0.90 3.15 .0606 1 0.90 2.87 .0607 2 0.90 2.89 .0608 3 0.90 3.20 .0609 3 0.90 3.39 .0610 3 0.90 2.97 .0611 2 0.90 3.04 .0612 1 0.90 2.93 .0613 1 0.90 2.98 .0614 1 0.90 3.03 .0615 2 0.90 2.99 .0616 3 0.90 2.98 .0617 1 0.90 2.84 .0618 3 0.90 2.97 .0619 2 0.90 3.19 .0620 3 0.90 3.01 .0621 2 0.90 2.98 .0622 2 0.90 3.22 .0623 4 0.90 3.13 .0624 2 0.90 3.16 .0625 2 0.90 2.97 .0626 2 0.90 3.02 .0627 1 0.90 2.90 .0628 1 0.90 3.08 .0629 1 0.90 3.04 .0630 1 0.90 2.97 .0631 1 0.90 3.04 .0632 1 0.90 2.99 .0633 3 0.90 2.98 .0634 1 0.90 3.00 .0635 1 0.90 3.06 .0636 1 0.90 2.98 .0637 2 0.90 2.88 .0638 1 0.90 3.01 .0639 1 0.90 3.20 .0640 2 0.90 3.01 .0641 2 0.90 3.00 .0642 1 0.90 3.03 .0643 1 0.90 3.17 .0644 2 0.90 3.03 .0645 2 0.90 3.14 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0.91 1.89 .2034 2 0.91 2.34 .2035 4 0.91 2.03 .2036 1 0.91 1.97 .2037 1 0.91 1.94 .2038 2 0.91 2.10 .2039 4 0.91 1.86 .2040 2 0.91 1.84 .2041 2 0.91 2.10 .2042 3 0.91 2.12 .2043 3 0.91 2.45 .2044 3 0.91 2.10 .2045 3 0.91 2.10 .2046 2 0.91 2.01 .2047 4 0.91 1.99 EXTRACT_IMAGE: sdR-b2-00034589.fit: masked 2337 pixels EXTRACT_OBJECT: sdR-b2-00034589.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034589.fit: Scattered light median = 2.11690 electrons QAPLOT_SCATLIGHT: sdR-b2-00034589.fit: WARNING: Scattered light max = 87.1463 electrons EXTRACT_OBJECT: sdR-b2-00034589.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.92 9.73 .0001 2 0.92 6.84 .0002 1 0.92 5.61 .0003 2 0.92 5.28 .0004 2 0.91 5.10 .0005 2 0.91 5.29 .0006 3 0.91 5.27 .0007 2 0.91 5.19 .0008 2 0.91 4.96 .0009 1 0.91 4.95 .0010 3 0.91 5.05 .0011 2 0.91 5.13 .0012 1 0.91 4.52 .0013 3 0.91 4.49 .0014 2 0.91 4.53 .0015 3 0.91 4.46 .0016 4 0.91 4.41 .0017 3 0.91 4.18 .0018 3 0.91 4.01 .0019 3 0.91 3.90 .0020 2 0.91 3.60 .0021 1 0.91 3.86 .0022 2 0.91 3.64 .0023 2 0.91 3.44 .0024 2 0.91 3.29 .0025 3 0.91 3.29 .0026 3 0.91 3.26 .0027 4 0.91 3.01 .0028 3 0.91 3.07 .0029 2 0.91 3.03 .0030 2 0.91 3.02 .0031 1 0.91 2.73 .0032 2 0.91 2.69 .0033 1 0.91 2.83 .0034 2 0.91 2.61 .0035 2 0.91 2.67 .0036 2 0.91 2.39 .0037 2 0.91 2.53 .0038 2 0.91 2.46 .0039 4 0.91 2.32 .0040 2 0.91 2.27 .0041 4 0.91 2.21 .0042 3 0.91 2.10 .0043 1 0.91 2.12 .0044 2 0.91 1.97 .0045 2 0.91 1.98 .0046 2 0.91 1.97 .0047 3 0.91 1.84 .0048 3 0.91 1.77 .0049 1 0.91 1.88 .0050 3 0.91 1.67 .0051 2 0.91 1.94 .0052 2 0.91 1.73 .0053 2 0.91 1.86 .0054 2 0.91 1.79 .0055 1 0.91 1.74 .0056 4 0.91 1.64 .0057 5 0.91 1.65 .0058 2 0.91 1.78 .0059 3 0.91 1.66 .0060 1 0.91 1.68 .0061 4 0.91 1.70 .0062 4 0.91 1.65 .0063 4 0.91 1.57 .0064 3 0.91 1.57 .0065 2 0.91 1.56 .0066 2 0.91 1.59 .0067 3 0.91 1.48 .0068 2 0.91 1.57 .0069 2 0.91 1.50 .0070 2 0.91 1.62 .0071 3 0.91 1.56 .0072 3 0.91 1.62 .0073 3 0.91 1.56 .0074 3 0.91 1.63 .0075 2 0.91 1.61 .0076 2 0.91 1.64 .0077 3 0.91 1.66 .0078 3 0.91 1.58 .0079 3 0.91 1.59 .0080 2 0.91 1.71 .0081 2 0.91 1.82 .0082 2 0.91 1.65 .0083 1 0.91 1.77 .0084 2 0.91 1.82 .0085 1 0.91 1.72 .0086 1 0.91 1.91 .0087 1 0.91 1.86 .0088 3 0.91 1.82 .0089 3 0.91 2.05 .0090 1 0.91 2.03 .0091 2 0.91 2.04 .0092 3 0.91 2.03 .0093 1 0.91 2.20 .0094 2 0.91 2.11 .0095 2 0.91 2.29 .0096 3 0.91 2.14 .0097 2 0.91 2.28 .0098 3 0.91 2.20 .0099 1 0.91 2.29 .0100 1 0.91 2.15 .0101 1 0.91 2.26 .0102 3 0.91 2.28 .0103 1 0.91 2.32 .0104 2 0.91 2.31 .0105 1 0.91 2.29 .0106 1 0.91 2.44 .0107 3 0.91 2.49 .0108 3 0.91 2.41 .0109 1 0.91 2.44 .0110 3 0.91 2.58 .0111 5 0.91 2.49 .0112 4 0.91 2.58 .0113 3 0.91 2.35 .0114 2 0.91 2.41 .0115 3 0.91 2.38 .0116 2 0.91 2.44 .0117 2 0.91 2.40 .0118 2 0.91 2.29 .0119 3 0.91 2.40 .0120 3 0.91 2.37 .0121 1 0.91 2.42 .0122 3 0.91 2.34 .0123 2 0.91 2.43 .0124 3 0.91 2.47 .0125 2 0.91 2.36 .0126 2 0.91 2.30 .0127 2 0.91 2.35 .0128 2 0.91 2.32 .0129 3 0.91 2.33 .0130 3 0.91 2.43 .0131 3 0.91 2.41 .0132 2 0.91 2.24 .0133 4 0.91 2.30 .0134 4 0.91 2.35 .0135 4 0.91 2.38 .0136 2 0.91 2.29 .0137 4 0.91 2.41 .0138 2 0.91 2.30 .0139 6 0.91 2.35 .0140 2 0.91 2.31 .0141 2 0.91 2.30 .0142 3 0.91 2.56 .0143 1 0.91 2.41 .0144 3 0.91 2.27 .0145 2 0.91 2.36 .0146 2 0.91 2.31 .0147 2 0.91 2.30 .0148 2 0.91 2.33 .0149 1 0.91 2.51 .0150 2 0.91 2.46 .0151 2 0.91 2.49 .0152 1 0.91 2.50 .0153 4 0.91 2.34 .0154 3 0.91 2.53 .0155 2 0.91 2.48 .0156 3 0.91 2.47 .0157 4 0.91 2.42 .0158 4 0.91 2.48 .0159 3 0.91 2.79 .0160 3 0.91 2.60 .0161 2 0.91 2.43 .0162 2 0.91 2.51 .0163 2 0.91 2.53 .0164 1 0.91 2.52 .0165 1 0.91 2.57 .0166 1 0.91 2.63 .0167 4 0.91 2.54 .0168 2 0.91 2.62 .0169 2 0.91 2.61 .0170 1 0.91 2.47 .0171 2 0.91 2.54 .0172 3 0.91 2.62 .0173 3 0.91 2.73 .0174 3 0.91 2.70 .0175 3 0.91 2.65 .0176 4 0.91 2.72 .0177 2 0.91 2.64 .0178 1 0.91 2.75 .0179 3 0.91 2.63 .0180 3 0.91 2.72 .0181 2 0.91 2.58 .0182 3 0.91 2.58 .0183 1 0.91 2.73 .0184 1 0.91 2.71 .0185 1 0.91 2.72 .0186 1 0.91 2.76 .0187 2 0.91 2.84 .0188 2 0.91 2.63 .0189 2 0.91 2.79 .0190 2 0.91 2.77 .0191 3 0.91 2.78 .0192 2 0.91 2.70 .0193 2 0.91 2.66 .0194 2 0.91 2.78 .0195 1 0.91 2.94 .0196 3 0.91 2.86 .0197 2 0.91 2.79 .0198 1 0.91 2.84 .0199 3 0.91 2.85 .0200 1 0.91 2.88 .0201 2 0.91 2.90 .0202 3 0.91 2.61 .0203 2 0.91 2.80 .0204 2 0.91 2.91 .0205 2 0.91 2.69 .0206 2 0.91 2.69 .0207 2 0.91 2.86 .0208 2 0.91 2.89 .0209 3 0.91 2.69 .0210 3 0.91 2.81 .0211 3 0.91 2.64 .0212 3 0.91 2.77 .0213 1 0.91 2.68 .0214 1 0.91 2.86 .0215 2 0.91 2.72 .0216 2 0.91 2.63 .0217 2 0.91 2.74 .0218 3 0.91 2.71 .0219 2 0.91 2.76 .0220 3 0.91 2.88 .0221 2 0.91 2.59 .0222 2 0.91 2.53 .0223 3 0.91 2.59 .0224 3 0.91 2.57 .0225 2 0.91 2.66 .0226 2 0.91 2.60 .0227 2 0.91 2.66 .0228 3 0.91 2.80 .0229 2 0.91 2.68 .0230 1 0.91 2.79 .0231 4 0.91 2.59 .0232 2 0.91 2.85 .0233 1 0.91 2.74 .0234 2 0.91 2.61 .0235 3 0.91 2.71 .0236 4 0.91 2.75 .0237 3 0.91 2.92 .0238 2 0.91 2.73 .0239 2 0.91 2.70 .0240 4 0.91 2.78 .0241 1 0.91 2.88 .0242 3 0.91 2.62 .0243 3 0.91 2.77 .0244 3 0.91 2.72 .0245 3 0.91 2.82 .0246 3 0.91 2.75 .0247 3 0.91 2.59 .0248 3 0.91 2.64 .0249 3 0.91 2.53 .0250 3 0.91 2.70 .0251 3 0.91 2.70 .0252 3 0.91 2.55 .0253 3 0.91 2.66 .0254 3 0.91 2.52 .0255 3 0.91 2.72 .0256 3 0.91 2.51 .0257 3 0.91 2.66 .0258 2 0.91 2.67 .0259 2 0.91 2.60 .0260 3 0.91 2.66 .0261 4 0.91 2.71 .0262 3 0.91 2.58 .0263 2 0.91 2.69 .0264 3 0.91 2.58 .0265 2 0.91 2.65 .0266 3 0.91 2.62 .0267 4 0.91 2.65 .0268 2 0.91 2.57 .0269 3 0.91 2.58 .0270 2 0.91 2.59 .0271 3 0.91 2.63 .0272 3 0.91 2.66 .0273 2 0.91 2.77 .0274 2 0.91 2.64 .0275 3 0.91 2.78 .0276 2 0.91 2.76 .0277 4 0.91 2.64 .0278 3 0.91 2.74 .0279 2 0.91 2.69 .0280 1 0.91 2.74 .0281 2 0.91 2.68 .0282 2 0.91 2.72 .0283 3 0.91 2.70 .0284 3 0.91 2.84 .0285 3 0.91 2.66 .0286 2 0.91 2.78 .0287 3 0.91 2.83 .0288 2 0.91 2.72 .0289 1 0.91 2.74 .0290 2 0.91 2.83 .0291 2 0.91 2.92 .0292 2 0.91 2.85 .0293 4 0.91 2.93 .0294 3 0.91 3.01 .0295 2 0.91 2.94 .0296 3 0.91 2.90 .0297 3 0.91 2.95 .0298 4 0.91 3.07 .0299 3 0.91 3.01 .0300 2 0.91 2.95 .0301 2 0.91 2.91 .0302 2 0.91 2.92 .0303 2 0.91 2.89 .0304 4 0.91 3.03 .0305 2 0.91 2.85 .0306 3 0.91 2.93 .0307 2 0.91 3.06 .0308 3 0.91 2.98 .0309 2 0.91 3.06 .0310 2 0.91 3.07 .0311 3 0.91 2.89 .0312 2 0.91 3.13 .0313 2 0.91 3.09 .0314 2 0.91 3.03 .0315 2 0.91 3.24 .0316 2 0.91 3.34 .0317 2 0.91 3.23 .0318 2 0.91 3.03 .0319 1 0.91 3.10 .0320 2 0.91 3.19 .0321 2 0.91 3.27 .0322 2 0.91 3.25 .0323 2 0.91 3.15 .0324 1 0.91 3.19 .0325 1 0.91 3.17 .0326 2 0.91 3.23 .0327 3 0.91 3.32 .0328 2 0.91 3.24 .0329 2 0.91 3.17 .0330 2 0.91 3.16 .0331 4 0.91 3.20 .0332 3 0.91 3.31 .0333 1 0.91 3.29 .0334 2 0.91 3.23 .0335 2 0.91 3.46 .0336 3 0.91 3.39 .0337 3 0.91 3.28 .0338 2 0.91 3.32 .0339 2 0.91 3.42 .0340 3 0.91 3.33 .0341 3 0.91 3.21 .0342 2 0.90 3.37 .0343 2 0.90 3.55 .0344 3 0.90 3.50 .0345 2 0.90 3.32 .0346 2 0.90 3.40 .0347 2 0.90 3.47 .0348 3 0.90 3.45 .0349 3 0.90 3.39 .0350 2 0.90 3.54 .0351 3 0.90 3.37 .0352 2 0.90 3.48 .0353 2 0.90 3.37 .0354 2 0.90 3.42 .0355 2 0.90 3.60 .0356 3 0.90 3.52 .0357 3 0.90 3.52 .0358 2 0.90 3.54 .0359 2 0.90 3.45 .0360 4 0.90 3.56 .0361 3 0.90 3.60 .0362 2 0.90 3.49 .0363 3 0.90 3.46 .0364 2 0.90 3.50 .0365 2 0.90 3.43 .0366 2 0.90 3.56 .0367 2 0.90 3.47 .0368 2 0.90 3.42 .0369 2 0.90 3.39 .0370 2 0.90 3.45 .0371 2 0.90 3.60 .0372 2 0.90 3.48 .0373 2 0.90 3.44 .0374 3 0.90 3.46 .0375 4 0.90 3.49 .0376 2 0.90 3.59 .0377 2 0.90 3.62 .0378 2 0.90 3.61 .0379 2 0.90 3.59 .0380 3 0.90 3.64 .0381 4 0.90 3.68 .0382 2 0.90 3.50 .0383 2 0.90 3.55 .0384 2 0.90 3.54 .0385 3 0.90 3.38 .0386 2 0.90 3.58 .0387 3 0.90 3.50 .0388 4 0.90 3.80 .0389 3 0.90 3.45 .0390 2 0.90 3.46 .0391 2 0.90 3.57 .0392 2 0.90 3.48 .0393 3 0.90 3.75 .0394 3 0.90 3.84 .0395 2 0.90 3.76 .0396 3 0.90 3.95 .0397 7 0.90 3.72 .0398 3 0.90 3.86 .0399 3 0.90 3.72 .0400 2 0.90 3.58 .0401 2 0.90 3.52 .0402 2 0.90 3.53 .0403 2 0.90 3.52 .0404 3 0.90 3.55 .0405 2 0.90 3.42 .0406 4 0.90 3.53 .0407 1 0.90 3.62 .0408 3 0.90 3.47 .0409 3 0.90 3.61 .0410 3 0.90 3.57 .0411 2 0.90 3.65 .0412 3 0.90 3.55 .0413 2 0.90 3.74 .0414 2 0.90 3.56 .0415 2 0.90 3.56 .0416 2 0.90 3.49 .0417 2 0.90 3.59 .0418 2 0.90 3.59 .0419 3 0.90 3.49 .0420 2 0.90 3.47 .0421 3 0.90 3.77 .0422 3 0.90 3.49 .0423 3 0.90 3.54 .0424 3 0.90 3.62 .0425 2 0.90 3.57 .0426 3 0.90 3.45 .0427 5 0.90 3.42 .0428 3 0.90 3.43 .0429 2 0.90 3.55 .0430 2 0.90 3.50 .0431 2 0.90 3.40 .0432 3 0.90 3.55 .0433 3 0.90 3.56 .0434 2 0.90 3.55 .0435 2 0.90 3.57 .0436 2 0.90 3.57 .0437 4 0.90 3.50 .0438 3 0.90 3.66 .0439 2 0.90 3.49 .0440 3 0.90 3.52 .0441 4 0.90 3.65 .0442 3 0.90 3.44 .0443 3 0.90 3.62 .0444 4 0.90 3.37 .0445 3 0.90 3.50 .0446 3 0.90 3.58 .0447 2 0.90 3.46 .0448 3 0.90 3.55 .0449 2 0.90 3.57 .0450 2 0.90 3.56 .0451 2 0.90 3.53 .0452 2 0.90 3.31 .0453 3 0.90 3.32 .0454 3 0.90 3.19 .0455 2 0.90 3.42 .0456 2 0.90 3.31 .0457 2 0.90 3.64 .0458 2 0.90 3.51 .0459 2 0.90 3.31 .0460 2 0.90 3.48 .0461 3 0.90 3.45 .0462 2 0.90 3.61 .0463 2 0.90 3.48 .0464 2 0.90 3.37 .0465 2 0.90 3.54 .0466 4 0.90 3.24 .0467 3 0.90 3.44 .0468 3 0.90 3.50 .0469 2 0.90 3.35 .0470 2 0.90 3.44 .0471 2 0.90 3.61 .0472 3 0.90 3.37 .0473 2 0.90 3.63 .0474 5 0.90 4.07 .0475 3 0.90 3.91 .0476 3 0.90 3.80 .0477 2 0.90 3.70 .0478 2 0.90 3.72 .0479 2 0.90 3.91 .0480 2 0.90 3.77 .0481 2 0.90 3.77 .0482 4 0.90 3.61 .0483 3 0.90 3.55 .0484 2 0.90 3.67 .0485 2 0.90 3.44 .0486 2 0.90 3.49 .0487 1 0.90 3.48 .0488 1 0.90 3.62 .0489 2 0.90 3.56 .0490 4 0.90 3.48 .0491 2 0.90 3.70 .0492 3 0.90 3.56 .0493 1 0.90 3.49 .0494 2 0.90 3.46 .0495 2 0.90 3.49 .0496 2 0.90 3.67 .0497 4 0.90 3.56 .0498 1 0.90 3.48 .0499 2 0.90 3.45 .0500 2 0.90 3.41 .0501 1 0.90 3.45 .0502 1 0.90 3.56 .0503 4 0.90 3.42 .0504 3 0.90 3.57 .0505 2 0.90 3.61 .0506 1 0.90 3.68 .0507 1 0.90 3.56 .0508 1 0.90 3.49 .0509 1 0.90 3.51 .0510 3 0.90 3.86 .0511 1 0.90 3.53 .0512 2 0.90 3.75 .0513 2 0.90 3.49 .0514 2 0.90 3.61 .0515 3 0.90 3.68 .0516 3 0.90 3.69 .0517 2 0.90 3.56 .0518 2 0.90 3.70 .0519 2 0.90 3.62 .0520 1 0.90 3.53 .0521 1 0.90 3.76 .0522 3 0.90 3.56 .0523 3 0.90 3.63 .0524 3 0.90 3.65 .0525 3 0.90 3.73 .0526 1 0.90 3.60 .0527 2 0.90 3.63 .0528 2 0.90 3.71 .0529 2 0.90 3.62 .0530 3 0.90 3.76 .0531 3 0.90 3.58 .0532 2 0.90 3.66 .0533 1 0.90 3.65 .0534 7 0.90 3.59 .0535 4 0.90 3.44 .0536 4 0.90 3.61 .0537 2 0.90 3.69 .0538 2 0.90 3.71 .0539 4 0.90 3.56 .0540 3 0.90 3.79 .0541 3 0.90 3.85 .0542 6 0.90 3.65 .0543 2 0.90 3.38 .0544 1 0.90 3.75 .0545 3 0.90 3.70 .0546 2 0.90 3.69 .0547 3 0.90 3.48 .0548 3 0.90 3.50 .0549 3 0.90 3.65 .0550 2 0.90 3.78 .0551 2 0.90 3.42 .0552 2 0.90 3.62 .0553 3 0.90 3.38 .0554 6 0.90 3.46 .0555 2 0.90 3.74 .0556 2 0.90 3.47 .0557 2 0.90 3.51 .0558 1 0.90 3.61 .0559 2 0.90 3.31 .0560 2 0.90 3.55 .0561 1 0.90 3.50 .0562 3 0.90 3.42 .0563 4 0.90 3.42 .0564 4 0.90 3.46 .0565 2 0.90 3.44 .0566 1 0.90 3.53 .0567 1 0.90 3.40 .0568 2 0.90 3.61 .0569 2 0.90 3.55 .0570 2 0.90 3.55 .0571 3 0.90 3.49 .0572 2 0.90 3.48 .0573 3 0.90 3.56 .0574 1 0.90 3.62 .0575 1 0.90 3.67 .0576 3 0.90 3.52 .0577 4 0.90 3.57 .0578 2 0.90 3.58 .0579 3 0.90 3.41 .0580 3 0.90 3.35 .0581 3 0.90 3.49 .0582 3 0.90 3.20 .0583 3 0.90 3.62 .0584 2 0.90 3.30 .0585 3 0.90 3.46 .0586 1 0.90 3.43 .0587 2 0.90 3.33 .0588 2 0.90 3.61 .0589 3 0.90 3.29 .0590 3 0.90 3.42 .0591 2 0.90 3.35 .0592 2 0.90 3.41 .0593 3 0.90 3.43 .0594 1 0.90 3.33 .0595 1 0.90 3.50 .0596 2 0.90 3.43 .0597 2 0.90 3.34 .0598 2 0.90 3.35 .0599 1 0.90 3.34 .0600 2 0.90 3.34 .0601 1 0.90 3.36 .0602 2 0.90 3.36 .0603 3 0.90 3.33 .0604 2 0.90 3.39 .0605 2 0.90 3.41 .0606 2 0.90 3.17 .0607 2 0.90 3.30 .0608 3 0.90 3.38 .0609 3 0.90 3.60 .0610 3 0.90 3.37 .0611 3 0.90 3.45 .0612 1 0.90 3.28 .0613 1 0.90 3.30 .0614 2 0.90 3.20 .0615 2 0.90 3.30 .0616 3 0.90 3.34 .0617 1 0.90 3.27 .0618 3 0.90 3.33 .0619 3 0.90 3.40 .0620 3 0.90 3.40 .0621 2 0.90 3.37 .0622 3 0.90 3.40 .0623 4 0.90 3.46 .0624 3 0.90 3.38 .0625 2 0.90 3.30 .0626 2 0.90 3.45 .0627 1 0.90 3.31 .0628 1 0.90 3.41 .0629 2 0.90 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3.49 .1407 2 0.89 3.78 .1408 2 0.89 3.40 .1409 3 0.89 3.53 .1410 3 0.89 3.45 .1411 2 0.89 3.50 .1412 2 0.89 3.70 .1413 2 0.89 3.63 .1414 1 0.89 3.40 .1415 5 0.89 3.45 .1416 3 0.89 3.72 .1417 2 0.89 3.42 .1418 1 0.89 3.47 .1419 2 0.89 3.66 .1420 2 0.89 3.57 .1421 2 0.89 3.35 .1422 2 0.89 3.48 .1423 4 0.89 3.40 .1424 2 0.89 3.56 .1425 2 0.89 3.54 .1426 4 0.89 3.50 .1427 3 0.89 3.34 .1428 2 0.89 3.41 .1429 2 0.89 3.34 .1430 3 0.89 3.51 .1431 2 0.89 3.39 .1432 2 0.89 3.29 .1433 1 0.89 3.55 .1434 1 0.89 3.46 .1435 4 0.89 3.28 .1436 3 0.89 3.50 .1437 2 0.89 3.46 .1438 2 0.89 3.68 .1439 3 0.89 3.37 .1440 3 0.89 3.51 .1441 2 0.89 3.64 .1442 3 0.89 3.45 .1443 2 0.89 3.59 .1444 4 0.89 3.41 .1445 4 0.89 3.37 .1446 2 0.89 3.48 .1447 2 0.89 3.60 .1448 2 0.89 3.47 .1449 2 0.89 3.53 .1450 1 0.89 3.37 .1451 2 0.89 3.44 .1452 2 0.89 3.59 .1453 3 0.89 3.53 .1454 3 0.89 3.58 .1455 4 0.89 3.38 .1456 3 0.89 3.52 .1457 2 0.89 3.45 .1458 2 0.89 3.29 .1459 2 0.89 3.56 .1460 3 0.89 3.55 .1461 2 0.89 3.65 .1462 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3.55 .1518 2 0.89 3.48 .1519 2 0.89 3.40 .1520 2 0.89 3.47 .1521 1 0.89 3.25 .1522 1 0.89 3.38 .1523 2 0.89 3.35 .1524 2 0.89 3.44 .1525 3 0.89 3.36 .1526 1 0.89 3.17 .1527 2 0.89 3.29 .1528 2 0.89 3.38 .1529 2 0.89 3.11 .1530 2 0.89 3.21 .1531 2 0.89 3.00 .1532 3 0.89 2.91 .1533 3 0.89 3.04 .1534 3 0.89 2.93 .1535 2 0.89 2.90 .1536 2 0.89 2.98 .1537 3 0.89 3.01 .1538 2 0.89 3.03 .1539 3 0.89 2.95 .1540 1 0.89 2.89 .1541 2 0.89 2.95 .1542 3 0.89 3.07 .1543 2 0.89 3.14 .1544 5 0.89 3.03 .1545 2 0.89 2.98 .1546 2 0.89 2.95 .1547 3 0.89 2.91 .1548 2 0.89 2.99 .1549 2 0.89 3.02 .1550 2 0.89 3.10 .1551 3 0.89 3.07 .1552 2 0.89 3.07 .1553 1 0.89 3.27 .1554 1 0.89 3.26 .1555 2 0.89 3.20 .1556 3 0.89 3.30 .1557 3 0.89 3.19 .1558 1 0.89 3.31 .1559 1 0.89 3.30 .1560 3 0.89 3.31 .1561 2 0.89 3.12 .1562 2 0.89 3.29 .1563 1 0.89 3.46 .1564 4 0.89 3.24 .1565 2 0.89 3.44 .1566 5 0.89 3.26 .1567 3 0.89 3.43 .1568 3 0.89 3.25 .1569 3 0.89 3.02 .1570 3 0.89 3.10 .1571 1 0.89 3.46 .1572 2 0.89 3.23 .1573 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3.31 .1629 2 0.89 3.17 .1630 2 0.89 3.25 .1631 2 0.89 3.24 .1632 3 0.89 3.38 .1633 1 0.89 3.35 .1634 1 0.89 3.55 .1635 3 0.89 3.50 .1636 1 0.89 3.49 .1637 3 0.89 3.46 .1638 2 0.89 3.15 .1639 3 0.89 3.21 .1640 2 0.89 3.14 .1641 2 0.89 3.29 .1642 2 0.89 3.30 .1643 2 0.89 3.38 .1644 2 0.89 3.37 .1645 2 0.89 3.32 .1646 2 0.89 3.36 .1647 1 0.89 3.43 .1648 4 0.89 3.52 .1649 3 0.89 3.47 .1650 2 0.89 3.54 .1651 2 0.89 3.35 .1652 2 0.89 3.39 .1653 3 0.89 3.50 .1654 2 0.89 3.33 .1655 1 0.89 3.47 .1656 1 0.89 3.23 .1657 3 0.89 3.39 .1658 4 0.89 3.34 .1659 3 0.89 3.51 .1660 2 0.89 3.26 .1661 2 0.89 3.48 .1662 2 0.89 3.58 .1663 2 0.89 3.32 .1664 1 0.89 3.42 .1665 2 0.89 3.50 .1666 2 0.89 3.31 .1667 3 0.89 3.40 .1668 5 0.89 3.49 .1669 3 0.89 3.46 .1670 1 0.89 3.48 .1671 1 0.89 3.40 .1672 2 0.89 3.41 .1673 1 0.89 3.51 .1674 2 0.89 3.33 .1675 2 0.89 3.50 .1676 1 0.89 3.47 .1677 2 0.89 3.38 .1678 1 0.89 3.42 .1679 3 0.89 3.55 .1680 2 0.89 3.39 .1681 1 0.89 3.50 .1682 2 0.89 3.51 .1683 3 0.89 3.41 .1684 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3.39 .1740 2 0.89 3.33 .1741 2 0.89 3.47 .1742 2 0.89 3.38 .1743 1 0.89 3.40 .1744 2 0.89 3.31 .1745 1 0.89 3.66 .1746 2 0.89 3.53 .1747 3 0.89 3.29 .1748 3 0.89 3.26 .1749 2 0.89 3.37 .1750 3 0.89 3.33 .1751 4 0.89 3.34 .1752 2 0.89 3.11 .1753 1 0.89 3.05 .1754 1 0.89 3.04 .1755 2 0.89 2.88 .1756 3 0.89 3.06 .1757 4 0.89 2.76 .1758 2 0.89 2.78 .1759 2 0.89 2.84 .1760 2 0.89 2.79 .1761 2 0.89 2.96 .1762 1 0.89 2.92 .1763 3 0.89 2.87 .1764 5 0.89 2.91 .1765 1 0.89 2.99 .1766 2 0.89 2.85 .1767 1 0.89 3.11 .1768 2 0.89 3.09 .1769 3 0.89 3.23 .1770 3 0.89 3.07 .1771 5 0.89 3.18 .1772 2 0.89 3.19 .1773 2 0.89 2.89 .1774 4 0.89 3.21 .1775 3 0.89 3.20 .1776 1 0.89 3.13 .1777 2 0.89 3.24 .1778 2 0.89 3.18 .1779 3 0.89 3.15 .1780 1 0.89 3.16 .1781 2 0.89 3.10 .1782 1 0.89 3.15 .1783 1 0.89 3.21 .1784 2 0.89 3.19 .1785 4 0.89 3.35 .1786 2 0.89 3.42 .1787 3 0.89 3.27 .1788 3 0.89 3.23 .1789 2 0.89 3.39 .1790 3 0.89 3.34 .1791 3 0.89 3.28 .1792 3 0.89 3.33 .1793 1 0.89 3.21 .1794 2 0.89 3.41 .1795 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3.45 .1851 1 0.89 3.54 .1852 1 0.89 3.64 .1853 2 0.89 3.48 .1854 2 0.89 3.63 .1855 3 0.89 3.47 .1856 1 0.89 3.31 .1857 1 0.89 3.49 .1858 1 0.89 3.39 .1859 2 0.89 3.52 .1860 3 0.89 3.44 .1861 3 0.89 3.66 .1862 1 0.89 3.36 .1863 2 0.89 3.35 .1864 3 0.89 3.46 .1865 2 0.89 3.54 .1866 3 0.89 3.50 .1867 2 0.89 3.53 .1868 3 0.89 3.34 .1869 3 0.89 3.33 .1870 1 0.89 3.29 .1871 1 0.89 3.29 .1872 1 0.89 3.03 .1873 2 0.89 3.15 .1874 2 0.89 3.17 .1875 1 0.89 3.12 .1876 2 0.89 3.11 .1877 3 0.89 2.88 .1878 1 0.89 3.22 .1879 3 0.89 3.01 .1880 2 0.89 3.01 .1881 4 0.89 2.74 .1882 3 0.89 2.80 .1883 3 0.89 2.70 .1884 3 0.90 2.44 .1885 2 0.90 2.47 .1886 3 0.90 2.37 .1887 3 0.90 2.50 .1888 3 0.90 2.28 .1889 4 0.90 2.23 .1890 3 0.90 2.34 .1891 2 0.90 2.43 .1892 3 0.90 2.32 .1893 3 0.90 2.51 .1894 2 0.90 2.72 .1895 2 0.90 2.55 .1896 1 0.90 2.50 .1897 2 0.90 2.57 .1898 1 0.90 2.57 .1899 2 0.90 2.57 .1900 5 0.90 2.65 .1901 2 0.90 2.53 .1902 2 0.90 2.74 .1903 3 0.90 2.70 .1904 3 0.90 2.75 .1905 5 0.90 2.54 .1906 2 0.90 2.73 .1907 2 0.90 2.93 .1908 1 0.90 2.69 .1909 2 0.90 2.75 .1910 2 0.90 2.81 .1911 2 0.90 2.94 .1912 5 0.90 2.94 .1913 3 0.90 3.08 .1914 2 0.90 2.89 .1915 3 0.90 2.92 .1916 2 0.90 2.88 .1917 1 0.90 2.79 .1918 3 0.90 2.65 .1919 2 0.90 2.58 .1920 3 0.90 2.52 .1921 3 0.90 2.66 .1922 2 0.90 2.51 .1923 3 0.90 2.46 .1924 2 0.90 2.55 .1925 3 0.90 2.61 .1926 3 0.90 2.56 .1927 2 0.90 2.64 .1928 3 0.90 2.71 .1929 4 0.90 2.81 .1930 2 0.90 3.04 .1931 1 0.90 2.81 .1932 4 0.90 2.89 .1933 3 0.90 2.85 .1934 2 0.90 2.79 .1935 2 0.90 2.95 .1936 1 0.90 2.81 .1937 1 0.90 2.81 .1938 1 0.90 2.86 .1939 2 0.90 2.81 .1940 1 0.90 3.14 .1941 3 0.90 2.99 .1942 2 0.90 2.91 .1943 1 0.90 2.99 .1944 2 0.90 2.91 .1945 2 0.90 3.29 .1946 3 0.90 3.12 .1947 2 0.90 2.84 .1948 2 0.90 2.84 .1949 1 0.90 3.03 .1950 1 0.90 3.11 .1951 3 0.90 2.86 .1952 1 0.90 2.96 .1953 2 0.90 2.95 .1954 2 0.90 2.82 .1955 2 0.90 2.91 .1956 2 0.90 2.83 .1957 2 0.90 2.69 .1958 1 0.90 2.67 .1959 2 0.90 2.67 .1960 2 0.90 2.67 .1961 4 0.90 2.55 .1962 3 0.90 2.60 .1963 2 0.90 2.53 .1964 3 0.90 2.33 .1965 3 0.90 2.31 .1966 2 0.90 2.30 .1967 2 0.90 2.30 .1968 3 0.90 2.30 .1969 2 0.90 2.17 .1970 1 0.90 2.32 .1971 2 0.90 2.33 .1972 3 0.90 2.41 .1973 2 0.90 2.43 .1974 3 0.90 2.32 .1975 4 0.90 2.38 .1976 4 0.90 2.40 .1977 2 0.90 2.30 .1978 3 0.90 2.43 .1979 1 0.90 2.39 .1980 2 0.90 2.32 .1981 3 0.90 2.45 .1982 3 0.90 2.55 .1983 2 0.90 2.50 .1984 2 0.90 2.41 .1985 3 0.90 2.53 .1986 3 0.90 2.44 .1987 1 0.90 2.53 .1988 3 0.90 2.67 .1989 2 0.90 2.59 .1990 2 0.90 2.66 .1991 3 0.90 2.64 .1992 2 0.90 2.67 .1993 3 0.90 2.52 .1994 3 0.90 2.69 .1995 1 0.90 3.00 .1996 2 0.90 2.82 .1997 3 0.90 2.68 .1998 2 0.90 2.81 .1999 3 0.90 2.76 .2000 1 0.90 2.74 .2001 3 0.90 2.72 .2002 1 0.90 2.59 .2003 1 0.90 2.79 .2004 3 0.90 2.83 .2005 3 0.90 2.68 .2006 5 0.90 2.87 .2007 3 0.90 2.71 .2008 4 0.90 2.81 .2009 3 0.90 2.79 .2010 1 0.90 2.71 .2011 3 0.90 2.69 .2012 4 0.90 2.66 .2013 3 0.90 2.58 .2014 2 0.90 2.64 .2015 3 0.90 2.68 .2016 3 0.90 2.60 .2017 1 0.90 2.42 .2018 5 0.90 2.37 .2019 4 0.90 2.29 .2020 1 0.90 2.41 .2021 3 0.90 2.24 .2022 1 0.90 2.18 .2023 2 0.90 2.33 .2024 1 0.90 2.09 .2025 3 0.91 2.03 .2026 3 0.91 2.09 .2027 4 0.91 2.07 .2028 1 0.91 2.10 .2029 2 0.91 1.89 .2030 2 0.91 2.24 .2031 3 0.91 2.20 .2032 5 0.91 1.98 .2033 3 0.91 2.05 .2034 3 0.91 2.25 .2035 3 0.91 2.25 .2036 1 0.91 2.19 .2037 1 0.91 2.09 .2038 4 0.91 2.18 .2039 4 0.91 2.14 .2040 2 0.91 2.12 .2041 2 0.91 2.33 .2042 3 0.91 2.66 .2043 3 0.91 2.76 .2044 3 0.91 2.70 .2045 3 0.91 2.66 .2046 2 0.91 2.79 .2047 4 0.91 2.84 EXTRACT_IMAGE: sdR-b2-00034589.fit: masked 3792 pixels DIVIDEFLAT: sdR-b2-00034589.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034589.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034589.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034589.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034589.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034589.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034589.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034589.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034589.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 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1.4062098 68.629391 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 6 2.1914326 -2.6128523 0.27812943 1.2605815 86.384705 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 13 0.97781826 -18.489599 -0.032722366 1.2737348 51.837259 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 18 0.95991068 6.8744681 -0.26546334 1.0664401 123.27147 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 26 0.66882893 3.8681168 -0.0027582609 1.0361710 74.535419 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 52 0.75198233 -8.6889154 0.14030264 1.2811066 77.556563 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 60 2.9672550 -10.040070 0.039779405 1.3787815 79.088564 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 63 0.15184601 -21.069803 0.21042947 1.2342330 95.264158 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 82 0.19657770 -13.114139 -0.84711398 0.96252190 65.020150 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 84 0.50835473 -41.193770 -0.084943251 1.2965634 70.183455 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 109 2.0021704 -21.542099 0.52751290 0.85965482 59.861679 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 114 1.1943088 -47.912652 0.32688042 2.0000000 95.987642 LOCATESKYLINES_2: sdR-b2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 131 1.9051504 -15.777987 -0.062481072 0.90243307 93.546030 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 153 0.77768678 -2.1278168 -0.26629011 1.0163463 91.461927 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 176 2.4787225 29.294728 -0.022295387 0.82225617 74.956668 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 180 1.5895064 19.982164 -0.44570607 1.4145594 75.333372 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 184 1.9033540 43.203114 -0.49558136 0.67391474 90.360107 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 185 1.6553078 24.097861 -0.072932293 1.1387607 76.657723 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 186 1.6595791 19.836740 -0.0094384005 1.3538121 101.75107 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 201 0.30291330 -34.735590 0.38137844 1.2299673 93.316215 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 204 0.83154849 -25.257400 -0.15267657 0.96851836 125.17263 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 206 1.1483197 -9.9256006 -0.37875237 0.77158525 73.997473 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 213 0.35725805 37.637312 -0.10299809 0.79826229 80.939271 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 235 1.1181526 -5.5753585 -0.13260431 1.4548216 86.855501 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 257 0.77588463 9.7115722 0.15842735 0.89918736 85.035149 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 259 1.7566414 26.785798 0.098926465 0.95890716 102.42076 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 260 0.36842051 10.170381 -0.40615250 0.82192096 109.59103 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 261 1.0086957 1.5549452 0.39339608 1.4929875 62.745398 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 265 0.42559074 -3.4515330 -0.30362239 0.92756761 98.686068 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 271 0.35222962 2.9159791 0.15827578 1.2601784 85.778411 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 276 2.6670513 -25.239842 0.31005924 1.1502342 74.406220 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 281 0.68635447 9.8364042 0.13069343 0.85329169 94.607753 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 284 0.89294694 18.822244 -0.037409390 1.1188179 53.804389 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 307 1.7858512 -4.0822523 0.18195348 0.83448473 78.802141 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 0 308 1.8497643 -7.0860724 -0.29537161 0.77937495 117.35762 LOCATESKYLINES_2: sdR-b2-00034589.fit: comb1 l,chi^2/dof,fit: 0 0.94041405 0.0047284044 -0.085927363 1.1021847 0.93835847 LOCATESKYLINES_2: sdR-b2-00034589.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-b2-00034589.fit: offset, refoff, sigma: -0.081334-0.0859270.042083 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 0 1.4799992 34.856938 0.069760452 1.1857043 261.42642 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 6 0.58613903 43.041095 0.11524714 1.0461883 265.09775 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 13 0.22682410 35.179058 0.0034996386 1.1399423 233.69032 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 18 1.1301056 32.455248 -0.22735974 1.1567814 218.48721 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 26 0.18849328 57.140691 0.13560315 1.0630787 253.78630 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 52 0.68334030 34.498721 -0.0075610156 1.1237749 241.12522 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 60 0.35207983 36.091973 -0.075945782 1.0732994 253.44081 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 63 1.1150141 15.003757 0.22634502 1.0563856 286.28444 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 82 0.53101009 15.589363 -0.079223229 0.90134060 310.55483 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 84 1.5000606 17.578072 -0.0045203921 0.94676302 270.08449 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 109 1.4925947 3.0071355 -0.15123522 1.1288185 232.93399 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 114 1.7670392 5.5199867 0.0045463677 0.91320426 291.35501 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 131 1.5669286 30.251648 0.18007234 0.96574828 237.95372 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 153 0.45829630 61.152474 0.090342508 1.0716932 249.18117 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 176 1.6057916 36.152989 -0.034445999 1.1317440 255.09573 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 180 1.3405111 32.307616 0.047068139 1.1838632 281.24825 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 184 1.1046641 40.461876 0.064202339 0.95316170 285.60705 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 185 0.82764633 37.740318 0.054281787 1.1377582 250.99012 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 186 1.1435768 41.555040 -0.14341772 1.0881641 243.51495 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 201 1.1198053 24.967792 0.18004036 1.1151989 264.61592 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 204 1.4673244 59.910026 -0.027214258 1.0482057 241.77736 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 206 0.43003652 27.062385 -0.17974937 1.3522232 263.76499 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 213 0.86183560 69.329610 0.13102836 1.1740928 227.83518 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 235 0.65040572 40.678640 0.074722337 1.0483544 237.79479 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 257 3.4246429 25.955340 -0.024510375 1.1867690 244.01154 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 259 2.5219245 57.052356 -0.12265315 1.0235928 282.19708 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 260 1.9813355 47.082778 -0.055315181 1.0889964 215.86455 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 261 3.4976120 33.633775 0.12557014 1.1703269 236.12686 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 265 0.72754082 36.130168 -0.0033488019 1.0112294 239.19892 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 271 2.3206351 32.816601 0.077479852 1.0208047 209.15228 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 276 0.26692020 18.457565 0.10688637 1.3544398 212.80669 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 281 1.8069936 51.342447 0.15538325 1.0441113 205.24238 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 284 2.2502546 43.166643 -0.0039561655 1.0820383 255.51997 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 307 2.1328351 24.745940 -0.12448604 1.1613258 254.77394 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 1 308 1.5099407 47.515669 0.14843837 0.91148128 245.67665 LOCATESKYLINES_2: sdR-b2-00034589.fit: comb1 l,chi^2/dof,fit: 1 1.0758291 0.0022999862 0.017046571 1.0839473 0.98833753 LOCATESKYLINES_2: sdR-b2-00034589.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034589.fit: offset, refoff, sigma: 0.0216400.0170470.016595 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 0 1.0158875 43.142749 0.25100122 1.0681178 316.72568 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 6 0.65909592 13.641244 0.16896240 0.97232186 283.64933 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 13 1.1543383 19.038827 0.17815333 0.96086166 257.03102 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 18 1.3235180 38.775004 0.093259748 1.1210825 258.47667 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 26 2.2848740 90.103981 0.050648578 1.1636957 283.21807 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 52 1.9935523 50.322360 0.084029592 0.99550424 273.69442 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 60 3.0434612 78.528154 0.083038014 0.98004379 333.71771 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 63 1.4916406 45.075380 0.17532072 1.1552045 280.04418 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 82 0.41922928 75.361631 0.11038153 1.1938155 298.93797 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 84 1.0159420 69.826553 0.22281949 0.93551704 292.83105 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 109 0.42758622 50.561858 0.15543496 1.1639938 278.16774 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 114 1.0271084 41.243357 0.085817675 1.0988132 355.94093 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 131 0.80273398 99.827626 0.042308283 0.84197108 309.59194 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 153 1.1227215 93.677767 0.086147549 1.1041501 292.49292 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 176 1.4236813 69.012150 -0.017854856 1.0302828 311.53569 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 180 2.6515436 59.956682 0.073100797 1.0479252 304.36557 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 184 1.3712902 93.257299 0.081532063 0.95174727 295.93575 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 185 1.7055594 84.050516 0.11365687 0.94168241 286.73884 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 186 1.6937343 70.862222 -0.012119350 0.99100327 319.52950 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 201 1.5627811 31.591023 0.062896827 1.3244870 286.27491 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 204 2.0982878 84.550781 0.078001708 1.1615852 264.24731 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 206 1.1678207 87.867526 0.13404316 0.96788659 316.32902 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 213 0.25542956 121.93895 0.13156010 1.1165491 271.97639 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 235 0.45843123 62.217921 -0.097107281 1.2189716 306.87737 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 257 1.3459958 62.535582 0.18839036 1.1167438 312.41624 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 259 0.53804018 128.64136 0.13946737 1.0562421 287.89171 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 260 1.0731859 45.833383 0.046819433 1.3186077 279.46766 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 261 1.6786769 83.181520 0.23906876 0.93032651 307.46478 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 265 0.31159371 29.210485 0.12872675 1.1420354 339.05741 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 271 2.1207248 46.050966 0.11047617 1.2399789 291.34736 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 276 0.26912557 58.836526 0.059861587 1.1934594 291.48770 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 281 1.1657468 70.078992 0.11911518 0.78249773 322.12281 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 284 2.5188263 33.985139 0.055010347 1.1687989 315.41976 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 307 2.7572271 57.898272 -0.011906603 0.93756904 267.91976 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 2 308 0.59307686 72.559170 0.18138163 1.0996462 309.99084 LOCATESKYLINES_2: sdR-b2-00034589.fit: comb1 l,chi^2/dof,fit: 2 1.1149530 0.0052837773 0.097976762 1.0544420 0.99185454 LOCATESKYLINES_2: sdR-b2-00034589.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034589.fit: offset, refoff, sigma: 0.1025700.0979770.016068 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 0 6.7360456 53.928215 0.10836843 0.89796549 4213.1465 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 6 11.179925 -9.8909742 0.10766859 0.89148035 4282.1657 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 13 1.6615945 11.301434 0.10421283 0.91499844 4253.0400 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 18 8.7543658 3.1716108 0.12673320 0.91472184 4224.9680 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 26 2.2244565 91.318887 0.10334990 0.87513375 4513.3695 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 52 14.229379 12.049413 0.11007875 0.90669130 4269.9515 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 60 8.9330006 36.035761 0.12580547 0.90513115 4217.7291 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 63 1.8642067 13.117951 0.12054917 0.91600080 4265.0073 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 82 5.6125464 49.733042 0.099403980 0.89493441 4398.6119 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 84 5.4061565 18.147270 0.14107999 0.89515413 4341.6494 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 109 13.368184 20.317145 0.092903249 0.89156363 4437.2562 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 114 4.4469642 30.158107 0.15765159 0.89380052 4325.6974 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 131 1.8695135 32.247863 0.11328053 0.88568469 4354.6642 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 153 16.655565 82.751584 0.14003541 0.88896885 4381.7787 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 176 7.9014454 67.414316 0.10426401 0.88332158 4268.3532 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 180 9.1793557 37.972819 0.11477702 0.88192573 4399.3226 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 184 5.9179961 70.640709 0.10467763 0.89133572 4303.8734 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 185 10.753800 29.528425 0.12067469 0.90163159 4312.8463 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 186 5.9761064 41.513301 0.14576164 0.89082492 4305.4338 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 201 12.891899 32.262150 0.11250926 0.89756160 4284.0631 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 204 14.216213 78.360532 0.12512610 0.88980208 4308.3793 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 206 11.141204 61.816102 0.11211493 0.90378948 4245.4922 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 213 11.197342 123.81807 0.10547136 0.88447477 4308.0210 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 235 4.2915277 32.998177 0.10716266 0.89371771 4245.9347 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 257 18.523664 35.774535 0.10787018 0.88256378 4342.9036 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 259 21.327444 97.180863 0.12922689 0.88700555 4326.4363 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 260 7.7870911 33.909448 0.093464940 0.89762893 4278.2267 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 261 3.2376858 70.394864 0.11363667 0.88591351 4360.3073 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 265 4.4731187 43.100954 0.095476322 0.88035132 4476.9926 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 271 9.2867263 31.773646 0.10383365 0.88490352 4295.8208 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 276 2.2420076 27.726710 0.10801192 0.90354702 4274.2782 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 281 10.700790 32.503642 0.10151373 0.90712356 4233.8811 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 284 6.3893130 25.516007 0.098347819 0.90194163 4271.4315 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 307 2.8794597 44.184632 0.10519501 0.87688152 4196.0521 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 3 308 7.9357010 76.415637 0.10290534 0.88027808 4331.5160 LOCATESKYLINES_2: sdR-b2-00034589.fit: comb1 l,chi^2/dof,fit: 3 5.0555804 1.1508482e-05 0.11321160 0.89277686 0.99994906 LOCATESKYLINES_2: sdR-b2-00034589.fit: sigma-clipped to 294 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034589.fit: comb2 l,chi^2/dof,fit: 3 3.5323212 0.00078375307 0.11288357 0.89000526 0.99555401 LOCATESKYLINES_2: sdR-b2-00034589.fit: kept 294 of 315 points LOCATESKYLINES_2: sdR-b2-00034589.fit: offset, refoff, sigma: 0.1174770.1128840.002215 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 0 39.745744 105.57678 0.13361899 0.82872628 564.11321 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 6 11.008332 37.792406 0.21032304 0.81135911 613.92116 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 13 23.166291 36.829242 0.12566828 0.91942978 568.84439 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 18 11.495369 70.939484 0.18180135 0.86164013 635.20591 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 26 24.730792 166.17634 0.13783503 0.78435817 533.61597 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 52 17.124562 65.428376 0.096503586 0.82586661 609.70978 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 60 17.440769 81.063635 0.23978519 0.85852884 636.54697 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 63 32.034725 108.33245 0.16305794 0.76622534 590.37158 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 82 24.555213 164.89605 0.14850488 0.73454820 530.25264 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 84 11.057691 91.902445 0.22172888 0.82014477 615.98282 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 109 31.718342 131.11531 0.12585785 0.74087782 538.41049 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 114 27.350632 121.52202 0.20142947 0.76073838 568.23935 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 131 21.113689 110.45297 0.13732158 0.81629604 555.52992 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 153 25.359774 118.38941 0.14412111 0.83648214 522.13874 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 176 19.750742 113.81970 0.18430624 0.86754076 559.92352 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 180 40.567709 108.45769 0.13188399 0.79619459 532.31613 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 184 31.033083 122.16127 0.19754102 0.87936053 571.80868 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 185 35.282269 103.29675 0.25103281 0.87455772 548.46881 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 186 27.200164 115.58624 0.21378693 0.83485761 563.96505 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 201 9.6474260 92.633976 0.16051668 0.80427823 573.29236 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 204 10.456730 84.050429 0.11435970 0.86931916 567.30844 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 206 14.359725 86.712041 0.13373548 0.86394214 553.01528 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 213 15.870997 123.82237 0.18000058 0.84844998 596.86844 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 235 12.031958 108.36290 0.074623320 0.81627655 581.58146 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 257 30.690981 87.979602 0.15414493 0.85309809 617.39784 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 259 34.325212 135.67553 0.12797408 0.82010694 616.07966 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 260 27.035446 113.55606 0.17666199 0.83128879 588.36788 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 261 25.822096 148.69092 0.15690293 0.72089158 600.34664 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 265 13.205010 82.922449 0.11070083 0.83074507 617.23580 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 271 27.771177 90.720965 0.16687252 0.92110103 536.03565 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 276 33.734272 82.278570 0.15598749 0.84639288 573.52439 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 281 13.384052 92.095631 0.14695831 0.81353972 583.65589 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 284 27.388823 115.92211 0.14195627 0.88048155 492.05835 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 307 13.490710 86.561827 0.16030635 0.79531769 581.01319 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 4 308 19.237917 111.54335 0.16174335 0.87673765 551.33001 LOCATESKYLINES_2: sdR-b2-00034589.fit: comb1 l,chi^2/dof,fit: 4 13.151524 9.1738803e-05 0.15825682 0.83292305 0.99474571 LOCATESKYLINES_2: sdR-b2-00034589.fit: sigma-clipped to 274 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034589.fit: comb2 l,chi^2/dof,fit: 4 2.1265099 -0.064840599 0.15936119 0.90596073 1.0402845 LOCATESKYLINES_2: sdR-b2-00034589.fit: kept 274 of 315 points LOCATESKYLINES_2: sdR-b2-00034589.fit: offset, refoff, sigma: 0.1639540.1593610.007909 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 0 20.848468 81.967541 0.25281450 0.81650359 386.93541 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 6 39.238446 36.733177 0.097176429 0.84380771 356.99385 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 13 22.937080 15.438073 0.17113667 0.83803799 370.92172 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 18 39.298541 106.51951 0.068434951 0.74868329 364.18297 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 26 44.716563 170.19772 0.0086150549 0.63954364 340.00834 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 52 42.424394 80.756591 0.17599532 0.82233250 368.88954 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 60 41.803393 123.65839 0.30989894 0.74199781 346.44254 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 63 54.340713 113.57455 0.14984516 0.60000000 391.03320 LOCATESKYLINES_2: sdR-b2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 82 40.417922 151.97478 0.087746128 0.71118996 352.82979 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 84 8.0834496 74.002588 -0.18929482 0.84187343 305.93406 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 109 60.678456 100.06004 0.12593953 0.80490460 347.62234 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 114 10.027208 83.399001 0.17665993 0.81818168 377.02304 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 131 16.297065 87.113913 0.20658924 0.65367367 395.96886 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 153 37.680928 100.69097 0.21409274 0.85865584 397.73662 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 176 38.444272 101.30974 0.14385228 0.77848114 356.80774 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 180 37.045173 78.933308 0.26781206 0.89617527 380.52091 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 184 32.900208 95.694714 0.18795241 0.82610238 372.13439 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 185 28.473205 88.941854 0.13166034 0.77929417 384.43456 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 186 26.058486 99.752353 0.10981088 0.80726098 328.49457 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 201 45.273503 93.954773 0.17458677 0.77586892 385.58369 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 204 47.163976 99.049881 0.21907957 0.73978138 304.01342 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 206 37.543061 99.337599 0.16068867 0.83505703 321.97394 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 213 37.480157 127.67791 0.11049379 0.83582263 324.38566 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 235 53.828001 109.63951 0.093462258 0.79140009 373.29472 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 257 42.411982 84.568324 0.13463931 0.79641048 394.10653 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 259 28.775894 119.22716 0.24330778 0.81535263 374.51030 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 260 15.844357 85.766344 0.13998893 0.65641094 448.74913 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 261 12.907116 85.784915 0.16589046 0.92768854 376.96642 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 265 59.096625 96.890676 0.069632845 0.80672904 390.89650 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 271 34.322307 84.807664 0.13319230 0.79694951 346.79966 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 276 25.637012 55.372546 0.17524437 0.72550484 440.60777 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 281 34.259624 81.744313 0.17160530 0.73897294 381.27153 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 284 23.788510 94.027321 0.16695951 0.85371775 362.80528 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 307 30.605490 92.755665 0.095946411 0.80142789 392.49706 LOCATESKYLINES_2: sdR-b2-00034589.fit: l,f,chi^2/dof,c: 5 308 29.399113 116.64080 0.16410800 0.79791868 383.57671 LOCATESKYLINES_2: sdR-b2-00034589.fit: comb1 l,chi^2/dof,fit: 5 18.737504 0.00014632009 0.15338888 0.80000000 0.98804586 LOCATESKYLINES_2: sdR-b2-00034589.fit: sigma-clipped to 267 of 306 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034589.fit: comb2 l,chi^2/dof,fit: 5 1.6437711 -0.11448484 0.15763872 0.92392547 1.0757624 LOCATESKYLINES_2: sdR-b2-00034589.fit: kept 267 of 306 points LOCATESKYLINES_2: sdR-b2-00034589.fit: offset, refoff, sigma: 0.1622320.1576390.010854 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 6545.8054 DOF = 1861 P(0) = 2.03188 P(1) = 0.00000 P(2) = 2.03188 P(3) = 2.03188 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 5911.6169 DOF = 1861 P(0) = 2.56389 P(1) = -9.07310E-05 P(2) = -7.16605 P(3) = 31.0944 P(4) = 0.000130000 P(5) = 0.0667776 Iter 3 CHI-SQUARE = 5606.7625 DOF = 1861 P(0) = 2.17246 P(1) = 7.50954E-05 P(2) = 10.6179 P(3) = 70.4180 P(4) = 0.000130000 P(5) = 0.324256 Iter 4 CHI-SQUARE = 5341.9319 DOF = 1861 P(0) = 1.89613 P(1) = -8.87018E-06 P(2) = 9.07281 P(3) = 74.3242 P(4) = 0.000130000 P(5) = 0.219403 Iter 5 CHI-SQUARE = 5325.5611 DOF = 1861 P(0) = 0.802900 P(1) = -2.99596E-07 P(2) = 8.76401 P(3) = 81.6868 P(4) = 0.000130000 P(5) = 0.199204 Iter 6 CHI-SQUARE = 5324.7307 DOF = 1861 P(0) = 1.22804 P(1) = -5.51894E-07 P(2) = 9.78587 P(3) = 81.8676 P(4) = 0.000130000 P(5) = 0.183278 Iter 7 CHI-SQUARE = 5324.2835 DOF = 1861 P(0) = 1.00276 P(1) = -7.24773E-07 P(2) = 9.59813 P(3) = 81.8668 P(4) = 0.000130000 P(5) = 0.180794 Iter 8 CHI-SQUARE = 5324.2176 DOF = 1861 P(0) = 0.993506 P(1) = -7.33901E-07 P(2) = 9.57452 P(3) = 81.8675 P(4) = 0.000130000 P(5) = 0.177043 Iter 9 CHI-SQUARE = 5324.1994 DOF = 1861 P(0) = 1.00307 P(1) = -7.41640E-07 P(2) = 9.58116 P(3) = 81.8766 P(4) = 0.000130000 P(5) = 0.174405 Iter 10 CHI-SQUARE = 5324.1940 DOF = 1861 P(0) = 0.994759 P(1) = -8.15443E-07 P(2) = 9.59536 P(3) = 81.8787 P(4) = 0.000130000 P(5) = 0.173462 Iter 11 CHI-SQUARE = 5324.1932 DOF = 1861 P(0) = 0.991219 P(1) = -8.33184E-07 P(2) = 9.59380 P(3) = 81.8786 P(4) = 0.000130000 P(5) = 0.173961 Iter 12 CHI-SQUARE = 5324.1927 DOF = 1861 P(0) = 1.00059 P(1) = -8.36764E-07 P(2) = 9.60487 P(3) = 81.8818 P(4) = 0.000130000 P(5) = 0.173787 Iter 13 CHI-SQUARE = 5324.1922 DOF = 1861 P(0) = 1.00416 P(1) = -8.52279E-07 P(2) = 9.61309 P(3) = 81.8811 P(4) = 0.000130000 P(5) = 0.174000 Iter 14 CHI-SQUARE = 5324.1909 DOF = 1861 P(0) = 0.998371 P(1) = -8.67517E-07 P(2) = 9.60946 P(3) = 81.8803 P(4) = 0.000130000 P(5) = 0.173582 Iter 15 CHI-SQUARE = 5324.1907 DOF = 1861 P(0) = 1.00231 P(1) = -8.74072E-07 P(2) = 9.61617 P(3) = 81.8823 P(4) = 0.000130000 P(5) = 0.173692 Iter 16 CHI-SQUARE = 5324.1902 DOF = 1861 P(0) = 1.00046 P(1) = -8.81617E-07 P(2) = 9.61586 P(3) = 81.8814 P(4) = 0.000130000 P(5) = 0.173726 Iter 17 CHI-SQUARE = 5324.1895 DOF = 1861 P(0) = 0.995072 P(1) = -8.95293E-07 P(2) = 9.61388 P(3) = 81.8815 P(4) = 0.000130000 P(5) = 0.173586 Iter 18 CHI-SQUARE = 5324.1894 DOF = 1861 P(0) = 0.994284 P(1) = -8.97443E-07 P(2) = 9.61355 P(3) = 81.8819 P(4) = 0.000130000 P(5) = 0.173625 Iter 19 CHI-SQUARE = 5324.1893 DOF = 1861 P(0) = 0.995877 P(1) = -8.99444E-07 P(2) = 9.61633 P(3) = 81.8832 P(4) = 0.000130000 P(5) = 0.173660 Iter 20 CHI-SQUARE = 5324.1892 DOF = 1861 P(0) = 0.993071 P(1) = -9.03659E-07 P(2) = 9.61452 P(3) = 81.8823 P(4) = 0.000130000 P(5) = 0.173695 Iter 21 CHI-SQUARE = 5324.1888 DOF = 1861 P(0) = 0.998545 P(1) = -9.07277E-07 P(2) = 9.62235 P(3) = 81.8846 P(4) = 0.000130000 P(5) = 0.173703 Iter 22 CHI-SQUARE = 5324.1884 DOF = 1861 P(0) = 0.994694 P(1) = -9.16384E-07 P(2) = 9.62024 P(3) = 81.8833 P(4) = 0.000130000 P(5) = 0.173630 Iter 23 CHI-SQUARE = 5324.1875 DOF = 1861 P(0) = 0.997387 P(1) = -9.34052E-07 P(2) = 9.62941 P(3) = 81.8849 P(4) = 0.000130000 P(5) = 0.173764 Iter 24 CHI-SQUARE = 5324.1873 DOF = 1861 P(0) = 1.00157 P(1) = -9.40008E-07 P(2) = 9.63490 P(3) = 81.8860 P(4) = 0.000130000 P(5) = 0.173605 Iter 25 CHI-SQUARE = 5324.1871 DOF = 1861 P(0) = 1.00240 P(1) = -9.46076E-07 P(2) = 9.63719 P(3) = 81.8856 P(4) = 0.000130000 P(5) = 0.173705 Iter 26 CHI-SQUARE = 5324.1867 DOF = 1861 P(0) = 1.00069 P(1) = -9.51972E-07 P(2) = 9.63697 P(3) = 81.8852 P(4) = 0.000130000 P(5) = 0.173827 Iter 27 CHI-SQUARE = 5324.1862 DOF = 1861 P(0) = 1.00163 P(1) = -9.64141E-07 P(2) = 9.64163 P(3) = 81.8864 P(4) = 0.000130000 P(5) = 0.173635 Iter 28 CHI-SQUARE = 5324.1851 DOF = 1861 P(0) = 0.992675 P(1) = -9.87020E-07 P(2) = 9.64006 P(3) = 81.8870 P(4) = 0.000130000 P(5) = 0.173743 Iter 29 CHI-SQUARE = 5324.1847 DOF = 1861 P(0) = 0.991107 P(1) = -9.99131E-07 P(2) = 9.64186 P(3) = 81.8879 P(4) = 0.000130000 P(5) = 0.173888 Iter 30 CHI-SQUARE = 5324.1840 DOF = 1861 P(0) = 0.999523 P(1) = -1.01058E-06 P(2) = 9.65421 P(3) = 81.8897 P(4) = 0.000130000 P(5) = 0.173784 Iter 31 CHI-SQUARE = 5324.1834 DOF = 1861 P(0) = 1.00435 P(1) = -1.03512E-06 P(2) = 9.66737 P(3) = 81.8904 P(4) = 0.000130000 P(5) = 0.174026 Iter 32 CHI-SQUARE = 5324.1819 DOF = 1861 P(0) = 0.995471 P(1) = -1.05965E-06 P(2) = 9.66435 P(3) = 81.8910 P(4) = 0.000130000 P(5) = 0.173668 Iter 33 CHI-SQUARE = 5324.1818 DOF = 1861 P(0) = 0.994024 P(1) = -1.06590E-06 P(2) = 9.66382 P(3) = 81.8913 P(4) = 0.000130000 P(5) = 0.173874 Iter 34 CHI-SQUARE = 5324.1815 DOF = 1861 P(0) = 0.994921 P(1) = -1.07230E-06 P(2) = 9.66620 P(3) = 81.8921 P(4) = 0.000130000 P(5) = 0.173629 Iter 35 CHI-SQUARE = 5324.1813 DOF = 1861 P(0) = 0.992903 P(1) = -1.07808E-06 P(2) = 9.66550 P(3) = 81.8918 P(4) = 0.000130000 P(5) = 0.173648 Iter 36 CHI-SQUARE = 5324.1810 DOF = 1861 P(0) = 0.996844 P(1) = -1.08370E-06 P(2) = 9.67193 P(3) = 81.8932 P(4) = 0.000130000 P(5) = 0.173717 Iter 37 CHI-SQUARE = 5324.1809 DOF = 1861 P(0) = 0.999502 P(1) = -1.08687E-06 P(2) = 9.67546 P(3) = 81.8936 P(4) = 0.000130000 P(5) = 0.173639 Iter 38 CHI-SQUARE = 5324.1807 DOF = 1861 P(0) = 0.996915 P(1) = -1.09022E-06 P(2) = 9.67315 P(3) = 81.8923 P(4) = 0.000130000 P(5) = 0.173758 Iter 39 CHI-SQUARE = 5324.1804 DOF = 1861 P(0) = 0.997349 P(1) = -1.09777E-06 P(2) = 9.67604 P(3) = 81.8932 P(4) = 0.000130000 P(5) = 0.173665 Iter 40 CHI-SQUARE = 5324.1800 DOF = 1861 P(0) = 0.997175 P(1) = -1.11282E-06 P(2) = 9.68048 P(3) = 81.8942 P(4) = 0.000130000 P(5) = 0.173433 Iter 41 CHI-SQUARE = 5324.1794 DOF = 1861 P(0) = 0.994775 P(1) = -1.12742E-06 P(2) = 9.68327 P(3) = 81.8946 P(4) = 0.000130000 P(5) = 0.173890 Iter 42 CHI-SQUARE = 5324.1792 DOF = 1861 P(0) = 0.991558 P(1) = -1.13793E-06 P(2) = 9.68249 P(3) = 81.8950 P(4) = 0.000130000 P(5) = 0.173828 Iter 43 CHI-SQUARE = 5324.1789 DOF = 1861 P(0) = 1.00154 P(1) = -1.14764E-06 P(2) = 9.69566 P(3) = 81.8970 P(4) = 0.000130000 P(5) = 0.173537 Iter 44 CHI-SQUARE = 5324.1787 DOF = 1861 P(0) = 1.00396 P(1) = -1.15833E-06 P(2) = 9.70151 P(3) = 81.8967 P(4) = 0.000130000 P(5) = 0.173897 Iter 45 CHI-SQUARE = 5324.1784 DOF = 1861 P(0) = 1.00234 P(1) = -1.16361E-06 P(2) = 9.70021 P(3) = 81.8964 P(4) = 0.000130000 P(5) = 0.173744 Iter 46 CHI-SQUARE = 5324.1781 DOF = 1861 P(0) = 0.996042 P(1) = -1.16711E-06 P(2) = 9.69404 P(3) = 81.8955 P(4) = 0.000130000 P(5) = 0.173755 Iter 47 CHI-SQUARE = 5324.1778 DOF = 1861 P(0) = 0.998951 P(1) = -1.17635E-06 P(2) = 9.70089 P(3) = 81.8975 P(4) = 0.000130000 P(5) = 0.173690 Iter 48 CHI-SQUARE = 5324.1775 DOF = 1861 P(0) = 0.990524 P(1) = -1.19448E-06 P(2) = 9.69859 P(3) = 81.8979 P(4) = 0.000130000 P(5) = 0.173923 Iter 49 CHI-SQUARE = 5324.1768 DOF = 1861 P(0) = 1.00020 P(1) = -1.21225E-06 P(2) = 9.71422 P(3) = 81.8997 P(4) = 0.000130000 P(5) = 0.173954 Iter 50 CHI-SQUARE = 5324.1767 DOF = 1861 P(0) = 0.994789 P(1) = -1.24832E-06 P(2) = 9.71850 P(3) = 81.9016 P(4) = 0.000130000 P(5) = 0.172970 Iter 51 CHI-SQUARE = 5324.1753 DOF = 1861 P(0) = 0.998874 P(1) = -1.26433E-06 P(2) = 9.72707 P(3) = 81.9022 P(4) = 0.000130000 P(5) = 0.173679 Iter 52 CHI-SQUARE = 5324.1750 DOF = 1861 P(0) = 0.992843 P(1) = -1.29841E-06 P(2) = 9.73385 P(3) = 81.9037 P(4) = 0.000130000 P(5) = 0.174283 Iter 53 CHI-SQUARE = 5324.1745 DOF = 1861 P(0) = 0.990385 P(1) = -1.31312E-06 P(2) = 9.73318 P(3) = 81.9043 P(4) = 0.000130000 P(5) = 0.173973 Iter 54 CHI-SQUARE = 5324.1743 DOF = 1861 P(0) = 0.989004 P(1) = -1.32745E-06 P(2) = 9.73514 P(3) = 81.9052 P(4) = 0.000130000 P(5) = 0.173612 Iter 55 CHI-SQUARE = 5324.1738 DOF = 1861 P(0) = 1.00141 P(1) = -1.33940E-06 P(2) = 9.75164 P(3) = 81.9064 P(4) = 0.000130000 P(5) = 0.173716 Iter 56 CHI-SQUARE = 5324.1737 DOF = 1861 P(0) = 1.00353 P(1) = -1.35358E-06 P(2) = 9.75772 P(3) = 81.9067 P(4) = 0.000130000 P(5) = 0.173758 Iter 57 CHI-SQUARE = 5324.1733 DOF = 1861 P(0) = 0.995568 P(1) = -1.35922E-06 P(2) = 9.74999 P(3) = 81.9060 P(4) = 0.000130000 P(5) = 0.173742 Iter 58 CHI-SQUARE = 5324.1733 DOF = 1861 P(0) = 0.996563 P(1) = -1.36155E-06 P(2) = 9.75173 P(3) = 81.9069 P(4) = 0.000130000 P(5) = 0.173649 Iter 59 CHI-SQUARE = 5324.1732 DOF = 1861 P(0) = 0.995463 P(1) = -1.36387E-06 P(2) = 9.75127 P(3) = 81.9067 P(4) = 0.000130000 P(5) = 0.173732 Iter 60 CHI-SQUARE = 5324.1731 DOF = 1861 P(0) = 0.995083 P(1) = -1.36889E-06 P(2) = 9.75255 P(3) = 81.9071 P(4) = 0.000130000 P(5) = 0.173681 Iter 61 CHI-SQUARE = 5324.1731 DOF = 1861 P(0) = 0.997622 P(1) = -1.37367E-06 P(2) = 9.75689 P(3) = 81.9077 P(4) = 0.000130000 P(5) = 0.173744 Iter 62 CHI-SQUARE = 5324.1729 DOF = 1861 P(0) = 0.995696 P(1) = -1.38357E-06 P(2) = 9.75840 P(3) = 81.9079 P(4) = 0.000130000 P(5) = 0.173877 Iter 63 CHI-SQUARE = 5324.1728 DOF = 1861 P(0) = 0.997050 P(1) = -1.38814E-06 P(2) = 9.76028 P(3) = 81.9084 P(4) = 0.000130000 P(5) = 0.173632 Iter 64 CHI-SQUARE = 5324.1727 DOF = 1861 P(0) = 0.996308 P(1) = -1.39298E-06 P(2) = 9.76114 P(3) = 81.9083 P(4) = 0.000130000 P(5) = 0.173805 Iter 65 CHI-SQUARE = 5324.1727 DOF = 1861 P(0) = 0.994420 P(1) = -1.39614E-06 P(2) = 9.75985 P(3) = 81.9083 P(4) = 0.000130000 P(5) = 0.173788 Iter 66 CHI-SQUARE = 5324.1726 DOF = 1861 P(0) = 0.994887 P(1) = -1.39977E-06 P(2) = 9.76146 P(3) = 81.9088 P(4) = 0.000130000 P(5) = 0.173752 Iter 67 CHI-SQUARE = 5324.1726 DOF = 1861 P(0) = 0.998894 P(1) = -1.40633E-06 P(2) = 9.76780 P(3) = 81.9094 P(4) = 0.000130000 P(5) = 0.173733 Iter 68 CHI-SQUARE = 5324.1724 DOF = 1861 P(0) = 0.996567 P(1) = -1.41330E-06 P(2) = 9.76719 P(3) = 81.9093 P(4) = 0.000130000 P(5) = 0.173718 Iter 69 CHI-SQUARE = 5324.1723 DOF = 1861 P(0) = 0.993322 P(1) = -1.42737E-06 P(2) = 9.76870 P(3) = 81.9102 P(4) = 0.000130000 P(5) = 0.173739 Iter 70 CHI-SQUARE = 5324.1721 DOF = 1861 P(0) = 0.995649 P(1) = -1.44139E-06 P(2) = 9.77576 P(3) = 81.9110 P(4) = 0.000130000 P(5) = 0.173957 Iter 71 CHI-SQUARE = 5324.1721 DOF = 1861 P(0) = 0.997582 P(1) = -1.44748E-06 P(2) = 9.77869 P(3) = 81.9113 P(4) = 0.000130000 P(5) = 0.173895 Iter 72 CHI-SQUARE = 5324.1720 DOF = 1861 P(0) = 0.997474 P(1) = -1.44895E-06 P(2) = 9.77833 P(3) = 81.9113 P(4) = 0.000130000 P(5) = 0.173784 Iter 73 CHI-SQUARE = 5324.1720 DOF = 1861 P(0) = 0.998484 P(1) = -1.45204E-06 P(2) = 9.78024 P(3) = 81.9116 P(4) = 0.000130000 P(5) = 0.173716 Iter 74 CHI-SQUARE = 5324.1720 DOF = 1861 P(0) = 0.996372 P(1) = -1.45333E-06 P(2) = 9.77808 P(3) = 81.9110 P(4) = 0.000130000 P(5) = 0.173766 Iter 75 CHI-SQUARE = 5324.1719 DOF = 1861 P(0) = 0.997874 P(1) = -1.45681E-06 P(2) = 9.78109 P(3) = 81.9118 P(4) = 0.000130000 P(5) = 0.173757 Iter 76 CHI-SQUARE = 5324.1719 DOF = 1861 P(0) = 0.995668 P(1) = -1.45983E-06 P(2) = 9.77958 P(3) = 81.9116 P(4) = 0.000130000 P(5) = 0.173790 Iter 77 CHI-SQUARE = 5324.1718 DOF = 1861 P(0) = 0.996784 P(1) = -1.46630E-06 P(2) = 9.78292 P(3) = 81.9122 P(4) = 0.000130000 P(5) = 0.173718 Iter 78 CHI-SQUARE = 5324.1717 DOF = 1861 P(0) = 0.996946 P(1) = -1.47927E-06 P(2) = 9.78782 P(3) = 81.9129 P(4) = 0.000130000 P(5) = 0.173918 Iter 79 CHI-SQUARE = 5324.1717 DOF = 1861 P(0) = 0.994673 P(1) = -1.48446E-06 P(2) = 9.78582 P(3) = 81.9130 P(4) = 0.000130000 P(5) = 0.173690 Iter 80 CHI-SQUARE = 5324.1716 DOF = 1861 P(0) = 0.995109 P(1) = -1.49000E-06 P(2) = 9.78812 P(3) = 81.9134 P(4) = 0.000130000 P(5) = 0.173783 Iter 81 CHI-SQUARE = 5324.1716 DOF = 1861 P(0) = 0.996502 P(1) = -1.49087E-06 P(2) = 9.78966 P(3) = 81.9137 P(4) = 0.000130000 P(5) = 0.173778 Iter 82 CHI-SQUARE = 5324.1716 DOF = 1861 P(0) = 0.995964 P(1) = -1.49316E-06 P(2) = 9.78973 P(3) = 81.9134 P(4) = 0.000130000 P(5) = 0.173820 Iter 83 CHI-SQUARE = 5324.1716 DOF = 1861 P(0) = 0.996871 P(1) = -1.49780E-06 P(2) = 9.79212 P(3) = 81.9138 P(4) = 0.000130000 P(5) = 0.173773 Iter 84 CHI-SQUARE = 5324.1715 DOF = 1861 P(0) = 0.996705 P(1) = -1.50708E-06 P(2) = 9.79541 P(3) = 81.9143 P(4) = 0.000130000 P(5) = 0.173926 Iter 85 CHI-SQUARE = 5324.1715 DOF = 1861 P(0) = 0.997567 P(1) = -1.51024E-06 P(2) = 9.79644 P(3) = 81.9144 P(4) = 0.000130000 P(5) = 0.173827 Iter 86 CHI-SQUARE = 5324.1714 DOF = 1861 P(0) = 0.996320 P(1) = -1.51343E-06 P(2) = 9.79602 P(3) = 81.9144 P(4) = 0.000130000 P(5) = 0.173823 Iter 87 CHI-SQUARE = 5324.1714 DOF = 1861 P(0) = 0.995993 P(1) = -1.51972E-06 P(2) = 9.79789 P(3) = 81.9149 P(4) = 0.000130000 P(5) = 0.173838 Iter 88 CHI-SQUARE = 5324.1714 DOF = 1861 P(0) = 0.996804 P(1) = -1.52269E-06 P(2) = 9.79924 P(3) = 81.9150 P(4) = 0.000130000 P(5) = 0.173822 Iter 89 CHI-SQUARE = 5324.1714 DOF = 1861 P(0) = 0.995781 P(1) = -1.52869E-06 P(2) = 9.80009 P(3) = 81.9153 P(4) = 0.000130000 P(5) = 0.173780 Iter 90 CHI-SQUARE = 5324.1714 DOF = 1861 P(0) = 0.995176 P(1) = -1.52995E-06 P(2) = 9.79939 P(3) = 81.9152 P(4) = 0.000130000 P(5) = 0.173773 Iter 91 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.995498 P(1) = -1.53124E-06 P(2) = 9.80019 P(3) = 81.9154 P(4) = 0.000130000 P(5) = 0.173789 Iter 92 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.995397 P(1) = -1.53385E-06 P(2) = 9.80099 P(3) = 81.9155 P(4) = 0.000130000 P(5) = 0.173811 Iter 93 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.996234 P(1) = -1.53452E-06 P(2) = 9.80195 P(3) = 81.9157 P(4) = 0.000130000 P(5) = 0.173795 Iter 94 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.996184 P(1) = -1.53616E-06 P(2) = 9.80230 P(3) = 81.9156 P(4) = 0.000130000 P(5) = 0.173782 Iter 95 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.995813 P(1) = -1.53946E-06 P(2) = 9.80302 P(3) = 81.9158 P(4) = 0.000130000 P(5) = 0.173794 Iter 96 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.995152 P(1) = -1.54602E-06 P(2) = 9.80439 P(3) = 81.9162 P(4) = 0.000130000 P(5) = 0.173705 Iter 97 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.996269 P(1) = -1.54684E-06 P(2) = 9.80555 P(3) = 81.9162 P(4) = 0.000130000 P(5) = 0.173799 Iter 98 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.995138 P(1) = -1.54937E-06 P(2) = 9.80503 P(3) = 81.9163 P(4) = 0.000130000 P(5) = 0.173751 Iter 99 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.994750 P(1) = -1.55200E-06 P(2) = 9.80558 P(3) = 81.9164 P(4) = 0.000130000 P(5) = 0.173797 Iter 100 CHI-SQUARE = 5324.1713 DOF = 1861 P(0) = 0.995975 P(1) = -1.55455E-06 P(2) = 9.80762 P(3) = 81.9166 P(4) = 0.000130000 P(5) = 0.173813 Iter 101 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995719 P(1) = -1.55971E-06 P(2) = 9.80903 P(3) = 81.9169 P(4) = 0.000130000 P(5) = 0.173822 Iter 102 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995355 P(1) = -1.56074E-06 P(2) = 9.80860 P(3) = 81.9169 P(4) = 0.000130000 P(5) = 0.173802 Iter 103 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.996370 P(1) = -1.56279E-06 P(2) = 9.81030 P(3) = 81.9171 P(4) = 0.000130000 P(5) = 0.173781 Iter 104 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995432 P(1) = -1.56487E-06 P(2) = 9.80992 P(3) = 81.9171 P(4) = 0.000130000 P(5) = 0.173799 Iter 105 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995190 P(1) = -1.56647E-06 P(2) = 9.81013 P(3) = 81.9172 P(4) = 0.000130000 P(5) = 0.173795 Iter 106 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995286 P(1) = -1.56808E-06 P(2) = 9.81067 P(3) = 81.9173 P(4) = 0.000130000 P(5) = 0.173789 Iter 107 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995680 P(1) = -1.56966E-06 P(2) = 9.81154 P(3) = 81.9173 P(4) = 0.000130000 P(5) = 0.173792 Iter 108 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995828 P(1) = -1.57281E-06 P(2) = 9.81261 P(3) = 81.9175 P(4) = 0.000130000 P(5) = 0.173740 Iter 109 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995919 P(1) = -1.57297E-06 P(2) = 9.81266 P(3) = 81.9175 P(4) = 0.000130000 P(5) = 0.173787 Iter 110 CHI-SQUARE = 5324.1712 DOF = 1861 P(0) = 0.995801 P(1) = -1.57291E-06 P(2) = 9.81248 P(3) = 81.9174 P(4) = 0.000130000 P(5) = 0.173791 FITMOONPLUSLINE: sdR-b2-00034589.fit: fit coeffs: 0.99580136 -1.5729051e-06 9.8124809 81.917422 0.00013000000 0.17379080 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034589.fit: changing 4046.58 correction from -0.0813342 to 0.014218856 pixels, err= 0.048186660 Iter 1 CHI-SQUARE = 16125.801 DOF = 3851 P(0) = 20.2620 P(1) = 0.00000 P(2) = 20.2620 P(3) = 20.2620 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 8106.3711 DOF = 3851 P(0) = 32.1458 P(1) = -1.51219E-05 P(2) = 15.2111 P(3) = 236.679 P(4) = 0.000130000 P(5) = -0.00886176 Iter 3 CHI-SQUARE = 8052.9998 DOF = 3851 P(0) = 32.1488 P(1) = 5.25091E-07 P(2) = 15.3195 P(3) = 235.957 P(4) = 0.000130000 P(5) = -0.00661455 Iter 4 CHI-SQUARE = 8052.7140 DOF = 3851 P(0) = 32.2392 P(1) = 5.76844E-08 P(2) = 15.2995 P(3) = 236.513 P(4) = 0.000130000 P(5) = -0.00880808 Iter 5 CHI-SQUARE = 8052.6701 DOF = 3851 P(0) = 32.2146 P(1) = 4.94812E-08 P(2) = 15.2609 P(3) = 236.545 P(4) = 0.000130000 P(5) = -0.00887986 Iter 6 CHI-SQUARE = 8052.6339 DOF = 3851 P(0) = 32.1811 P(1) = 4.46617E-08 P(2) = 15.2146 P(3) = 236.580 P(4) = 0.000130000 P(5) = -0.00890898 Iter 7 CHI-SQUARE = 8052.6276 DOF = 3851 P(0) = 32.1182 P(1) = 3.10028E-08 P(2) = 15.1376 P(3) = 236.647 P(4) = 0.000130000 P(5) = -0.00901601 Iter 8 CHI-SQUARE = 8052.6208 DOF = 3851 P(0) = 32.1265 P(1) = 2.59758E-08 P(2) = 15.1436 P(3) = 236.659 P(4) = 0.000130000 P(5) = -0.00897299 Iter 9 CHI-SQUARE = 8052.6147 DOF = 3851 P(0) = 32.1421 P(1) = 2.25098E-08 P(2) = 15.1572 P(3) = 236.666 P(4) = 0.000130000 P(5) = -0.00892600 Iter 10 CHI-SQUARE = 8052.6126 DOF = 3851 P(0) = 32.1610 P(1) = 1.34735E-08 P(2) = 15.1777 P(3) = 236.665 P(4) = 0.000130000 P(5) = -0.00901165 Iter 11 CHI-SQUARE = 8052.6108 DOF = 3851 P(0) = 32.1670 P(1) = 1.90670E-09 P(2) = 15.1866 P(3) = 236.661 P(4) = 0.000130000 P(5) = -0.00913927 Iter 12 CHI-SQUARE = 8052.6065 DOF = 3851 P(0) = 32.1487 P(1) = 1.90670E-09 P(2) = 15.1644 P(3) = 236.658 P(4) = 0.000130000 P(5) = -0.00891322 Iter 12 CHI-SQUARE = 8052.6065 DOF = 3851 P(0) = 32.1487 P(1) = 1.90670E-09 P(2) = 15.1644 P(3) = 236.658 P(4) = 0.000130000 P(5) = -0.00891322 FITMOONPLUSLINE: sdR-b2-00034589.fit: fit coeffs: 32.148670 1.9067008e-09 15.164445 236.65792 0.00013000000 -0.0089132151 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034589.fit: changing 4358.33 correction from 0.0216397 to -1.7576408e-05 pixels, err= -0.0000000 Iter 1 CHI-SQUARE = 11689.329 DOF = 1289 P(0) = 44.0004 P(1) = 0.00000 P(2) = 44.0004 P(3) = 44.0004 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 4746.4749 DOF = 1289 P(0) = 62.7886 P(1) = -3.05605E-05 P(2) = 64.5053 P(3) = 259.627 P(4) = 0.000130000 P(5) = 0.584304 Iter 3 CHI-SQUARE = 4695.4047 DOF = 1289 P(0) = 56.4247 P(1) = -1.43967E-05 P(2) = 29.0808 P(3) = 257.244 P(4) = 0.000130000 P(5) = 0.738172 Iter 4 CHI-SQUARE = 4589.6434 DOF = 1289 P(0) = 62.4405 P(1) = -6.62390E-06 P(2) = 52.4278 P(3) = 259.989 P(4) = 0.000130000 P(5) = 0.709958 Iter 5 CHI-SQUARE = 4588.0175 DOF = 1289 P(0) = 62.0379 P(1) = -8.65494E-06 P(2) = 50.3460 P(3) = 260.392 P(4) = 0.000130000 P(5) = 0.502863 Iter 6 CHI-SQUARE = 4586.1714 DOF = 1289 P(0) = 62.5394 P(1) = -7.60598E-06 P(2) = 52.1125 P(3) = 260.441 P(4) = 0.000130000 P(5) = 0.504651 Iter 7 CHI-SQUARE = 4583.2923 DOF = 1289 P(0) = 62.6241 P(1) = -6.92273E-06 P(2) = 55.2758 P(3) = 260.051 P(4) = 0.000130000 P(5) = 0.575870 Iter 8 CHI-SQUARE = 4583.2207 DOF = 1289 P(0) = 62.8055 P(1) = -6.98612E-06 P(2) = 55.5941 P(3) = 260.058 P(4) = 0.000130000 P(5) = 0.586043 Iter 9 CHI-SQUARE = 4583.2185 DOF = 1289 P(0) = 62.7917 P(1) = -6.96835E-06 P(2) = 55.6127 P(3) = 260.036 P(4) = 0.000130000 P(5) = 0.585764 Iter 10 CHI-SQUARE = 4583.2138 DOF = 1289 P(0) = 62.7821 P(1) = -6.97585E-06 P(2) = 55.6197 P(3) = 260.022 P(4) = 0.000130000 P(5) = 0.585798 Iter 11 CHI-SQUARE = 4583.2100 DOF = 1289 P(0) = 62.7736 P(1) = -6.98330E-06 P(2) = 55.6228 P(3) = 260.013 P(4) = 0.000130000 P(5) = 0.585897 Iter 12 CHI-SQUARE = 4583.2085 DOF = 1289 P(0) = 62.7611 P(1) = -6.97685E-06 P(2) = 55.6301 P(3) = 260.001 P(4) = 0.000130000 P(5) = 0.585936 Iter 13 CHI-SQUARE = 4583.2073 DOF = 1289 P(0) = 62.7582 P(1) = -6.98080E-06 P(2) = 55.6312 P(3) = 259.999 P(4) = 0.000130000 P(5) = 0.585937 Iter 14 CHI-SQUARE = 4583.2066 DOF = 1289 P(0) = 62.7564 P(1) = -6.98270E-06 P(2) = 55.6315 P(3) = 259.997 P(4) = 0.000130000 P(5) = 0.585953 Iter 15 CHI-SQUARE = 4583.2058 DOF = 1289 P(0) = 62.7522 P(1) = -6.98341E-06 P(2) = 55.6315 P(3) = 259.995 P(4) = 0.000130000 P(5) = 0.586013 Iter 16 CHI-SQUARE = 4583.2058 DOF = 1289 P(0) = 62.7522 P(1) = -6.98341E-06 P(2) = 55.6315 P(3) = 259.995 P(4) = 0.000130000 P(5) = 0.586013 Iter 17 CHI-SQUARE = 4583.2058 DOF = 1289 P(0) = 62.7522 P(1) = -6.98341E-06 P(2) = 55.6315 P(3) = 259.995 P(4) = 0.000130000 P(5) = 0.586013 FITMOONPLUSLINE: sdR-b2-00034589.fit: fit coeffs: 62.752150 -6.9834060e-06 55.631479 259.99501 0.00013000000 0.58601333 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034589.fit: changing 5460.94 correction from 0.102570 to 0.072065646 pixels, err= 0.021086115 LOCATESKYLINES_2: sdR-b2-00034589.fit: applying -0.00 pixel correction to 0.16 0.16 0.61 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 FITMEANX: sdR-b2-00034589.fit: In skyline number 0 std-dev is 0.23431876 pix FITMEANX: sdR-b2-00034589.fit: In skyline number 1 std-dev is 0.078962513 pix FITMEANX: sdR-b2-00034589.fit: In skyline number 2 std-dev is 0.069875288 pix FITMEANX: sdR-b2-00034589.fit: In skyline number 3 std-dev is 0.015553926 pix FITMEANX: sdR-b2-00034589.fit: In skyline number 4 std-dev is 0.044838974 pix FITMEANX: sdR-b2-00034589.fit: In skyline number 5 std-dev is 0.080789345 pix LOCATESKYLINES_2: sdR-b2-00034589.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034589.fit: In sky feature at 4046.5600 coadded std-dev is 0.0481867 pix LOCATESKYLINES_2: sdR-b2-00034589.fit: In sky feature at 4358.3300 coadded std-dev is 0.00000 pix LOCATESKYLINES_2: sdR-b2-00034589.fit: In sky feature at 5460.9400 coadded std-dev is 0.0210861 pix LOCATESKYLINES_2: sdR-b2-00034589.fit: In sky feature at 5577.3390 coadded std-dev is 0.00221457 pix LOCATESKYLINES_2: sdR-b2-00034589.fit: In sky feature at 5889.9500 coadded std-dev is 0.00790867 pix LOCATESKYLINES_2: sdR-b2-00034589.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034589.fit: Median arc shift = 0.074973306 pix LOCATESKYLINES_2: sdR-b2-00034589.fit: Dispersion in arc shift = 0.075035294 pix LOCATESKYLINES_2: sdR-b2-00034589.fit: Maximum sky-line shift is 0.16703125 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Number of sky fibers = 32 ROW NITER SIG(med) CHI^2 .0000 1 0.85 0.14 .0001 3 0.85 0.93 .0002 5 0.85 0.83 .0003 2 0.85 0.51 .0004 10 0.85 0.59 .0005 9 0.85 0.79 .0006 1 0.85 0.13 .0007 8 0.85 0.88 .0008 1 0.85 0.71 .0009 5 0.85 1.18 .0010 3 0.85 0.77 .0011 10 0.85 0.50 .0012 9 0.85 0.57 .0013 1 0.85 0.09 .0014 3 0.85 1.46 .0015 7 0.85 0.67 .0016 8 0.85 0.59 .0017 5 0.85 1.29 .0018 1 0.85 0.15 .0019 1 0.85 0.46 .0020 4 0.83 1.07 .0021 1 0.83 0.26 .0022 12 0.83 0.56 .0023 10 0.83 0.62 .0024 3 0.83 0.72 .0025 1 0.83 0.76 .0026 1 0.83 0.11 .0027 10 0.83 0.56 .0028 3 0.83 0.88 .0029 4 0.83 0.97 .0030 1 0.83 0.61 .0031 3 0.83 0.88 .0032 10 0.83 0.48 .0033 4 0.83 1.27 .0034 12 0.83 0.38 .0035 5 0.83 0.99 .0036 2 0.83 0.91 .0037 5 0.83 0.93 .0038 2 0.83 1.04 .0039 2 0.83 0.84 .0040 9 0.83 0.60 .0041 5 0.83 0.93 .0042 5 0.83 0.55 .0043 1 0.83 0.96 .0044 2 0.83 0.72 .0045 7 0.83 0.60 .0046 10 0.83 0.53 .0047 4 0.83 0.83 .0048 1 0.83 0.66 .0049 1 0.83 0.71 .0050 3 0.83 0.93 .0051 10 0.83 0.59 .0052 1 0.83 0.14 .0053 2 0.83 0.84 .0054 11 0.83 0.65 .0055 9 0.83 0.56 .0056 4 0.83 0.80 .0057 4 0.83 1.04 .0058 4 0.83 0.93 .0059 3 0.83 0.52 .0060 1 0.82 0.17 .0061 3 0.82 0.96 .0062 5 0.82 1.06 .0063 2 0.82 0.13 .0064 10 0.82 0.58 .0065 5 0.82 0.75 .0066 4 0.82 0.93 .0067 9 0.82 0.79 .0068 3 0.82 0.87 .0069 8 0.82 0.61 .0070 11 0.82 0.47 .0071 1 0.82 0.66 .0072 3 0.82 0.81 .0073 4 0.82 0.75 .0074 1 0.82 0.62 .0075 2 0.82 0.86 .0076 10 0.82 0.73 .0077 7 0.82 0.98 .0078 7 0.82 0.69 .0079 2 0.82 0.62 .0080 8 0.82 0.88 .0081 3 0.82 0.80 .0082 1 0.82 0.10 .0083 4 0.82 1.15 .0084 1 0.82 0.13 .0085 2 0.82 0.60 .0086 10 0.82 0.66 .0087 7 0.82 1.01 .0088 6 0.82 0.83 .0089 3 0.82 0.79 .0090 4 0.82 1.01 .0091 2 0.82 0.55 .0092 3 0.82 0.92 .0093 6 0.82 0.89 .0094 1 0.82 0.83 .0095 4 0.82 1.12 .0096 6 0.82 1.21 .0097 10 0.82 0.62 .0098 4 0.82 1.01 .0099 2 0.82 0.84 .0100 2 0.82 0.85 .0101 8 0.82 0.50 .0102 10 0.82 0.56 .0103 3 0.82 0.72 .0104 3 0.82 0.70 .0105 11 0.82 0.61 .0106 2 0.82 0.78 .0107 7 0.82 0.75 .0108 1 0.82 0.84 .0109 1 0.82 0.14 .0110 1 0.82 0.58 .0111 4 0.82 0.72 .0112 8 0.82 0.50 .0113 1 0.82 0.86 .0114 2 0.82 0.09 .0115 4 0.82 1.08 .0116 2 0.82 0.96 .0117 10 0.82 0.54 .0118 1 0.82 0.71 .0119 3 0.82 0.77 .0120 3 0.80 0.85 .0121 2 0.80 0.55 .0122 7 0.80 0.67 .0123 3 0.80 1.05 .0124 1 0.80 0.65 .0125 1 0.80 0.86 .0126 2 0.80 0.69 .0127 3 0.80 0.78 .0128 11 0.80 0.44 .0129 5 0.80 0.89 .0130 9 0.80 1.04 .0131 1 0.80 0.12 .0132 5 0.80 0.66 .0133 4 0.80 1.38 .0134 3 0.80 1.09 .0135 4 0.80 0.83 .0136 1 0.80 0.38 .0137 5 0.80 0.68 .0138 3 0.80 0.86 .0139 5 0.80 1.04 .0140 1 0.82 0.73 .0141 11 0.82 0.93 .0142 10 0.82 0.61 .0143 3 0.82 0.67 .0144 2 0.82 1.34 .0145 3 0.82 0.70 .0146 2 0.82 0.91 .0147 3 0.82 0.79 .0148 2 0.82 1.06 .0149 10 0.82 0.67 .0150 3 0.82 0.94 .0151 6 0.82 0.91 .0152 3 0.82 0.67 .0153 2 0.82 0.10 .0154 9 0.82 0.59 .0155 11 0.82 0.54 .0156 3 0.82 0.79 .0157 11 0.82 0.54 .0158 1 0.82 0.85 .0159 4 0.82 0.95 .0160 3 0.81 0.79 .0161 3 0.81 1.18 .0162 2 0.81 1.10 .0163 3 0.81 0.76 .0164 4 0.81 0.83 .0165 1 0.81 0.19 .0166 1 0.81 0.57 .0167 3 0.81 0.88 .0168 5 0.81 0.91 .0169 4 0.81 1.33 .0170 5 0.81 0.92 .0171 1 0.81 0.73 .0172 1 0.81 0.15 .0173 2 0.81 0.83 .0174 1 0.81 0.17 .0175 3 0.81 0.70 .0176 1 0.81 0.13 .0177 2 0.81 1.09 .0178 1 0.81 0.18 .0179 2 0.81 0.43 .0180 1 0.82 0.18 .0181 1 0.82 0.56 .0182 1 0.82 0.18 .0183 3 0.82 0.92 .0184 1 0.82 0.14 .0185 1 0.82 0.18 .0186 1 0.82 0.19 .0187 1 0.82 0.13 .0188 3 0.82 0.96 .0189 6 0.82 0.79 .0190 1 0.82 0.19 .0191 1 0.82 0.15 .0192 1 0.82 0.16 .0193 1 0.82 0.28 .0194 1 0.82 0.18 .0195 1 0.82 0.13 .0196 1 0.82 0.28 .0197 4 0.82 1.35 .0198 1 0.82 0.15 .0199 1 0.82 0.16 .0200 1 0.82 0.93 .0201 2 0.82 0.07 .0202 8 0.82 0.62 .0203 2 0.82 0.85 .0204 1 0.82 0.16 .0205 11 0.82 0.64 .0206 1 0.82 0.14 .0207 9 0.82 0.78 .0208 2 0.82 0.91 .0209 10 0.82 0.75 .0210 3 0.82 1.05 .0211 4 0.82 1.10 .0212 4 0.82 1.04 .0213 1 0.82 0.13 .0214 2 0.82 0.75 .0215 8 0.82 0.93 .0216 10 0.82 0.58 .0217 9 0.82 0.53 .0218 1 0.82 0.59 .0219 2 0.82 0.71 .0220 5 0.81 0.98 .0221 3 0.81 1.57 .0222 3 0.81 0.91 .0223 10 0.81 0.56 .0224 4 0.81 0.85 .0225 2 0.81 0.79 .0226 4 0.81 1.32 .0227 1 0.81 0.47 .0228 11 0.81 0.69 .0229 4 0.81 0.81 .0230 2 0.81 0.78 .0231 2 0.81 1.23 .0232 1 0.81 0.18 .0233 6 0.81 0.73 .0234 3 0.81 0.88 .0235 1 0.81 0.11 .0236 5 0.81 0.93 .0237 4 0.81 0.95 .0238 11 0.81 0.46 .0239 1 0.81 0.15 .0240 9 0.82 0.55 .0241 0 0.82 0.00 .0242 9 0.82 0.52 .0243 8 0.82 0.94 .0244 4 0.82 1.17 .0245 3 0.82 1.21 .0246 2 0.82 0.88 .0247 4 0.82 1.06 .0248 3 0.82 0.93 .0249 2 0.82 1.04 .0250 3 0.82 0.86 .0251 5 0.82 1.33 .0252 3 0.82 0.80 .0253 3 0.82 0.93 .0254 1 0.82 0.28 .0255 4 0.82 1.02 .0256 2 0.82 0.79 .0257 2 0.82 0.10 .0258 3 0.82 0.69 .0259 2 0.82 0.11 .0260 1 0.81 0.13 .0261 1 0.81 0.14 .0262 9 0.81 0.84 .0263 0 0.81 0.00 .0264 9 0.81 0.92 .0265 1 0.81 0.12 .0266 3 0.81 0.85 .0267 3 0.81 0.83 .0268 2 0.81 1.34 .0269 4 0.81 1.03 .0270 3 0.81 1.13 .0271 1 0.81 0.14 .0272 3 0.81 0.99 .0273 3 0.81 1.90 .0274 3 0.81 0.94 .0275 8 0.81 0.63 .0276 1 0.81 0.14 .0277 5 0.81 1.23 .0278 3 0.81 1.85 .0279 4 0.81 1.49 .0280 4 0.82 0.79 .0281 1 0.82 0.14 .0282 4 0.82 0.79 .0283 3 0.82 0.83 .0284 1 0.82 0.13 .0285 6 0.82 0.79 .0286 3 0.82 0.81 .0287 1 0.82 0.70 .0288 3 0.82 0.83 .0289 3 0.82 0.85 .0290 2 0.82 1.18 .0291 5 0.82 1.12 .0292 0 0.82 0.00 .0293 4 0.82 0.97 .0294 2 0.82 0.76 .0295 2 0.82 0.67 .0296 3 0.82 0.82 .0297 6 0.82 0.87 .0298 9 0.82 0.67 .0299 3 0.82 1.09 .0300 3 0.83 0.94 .0301 8 0.83 0.78 .0302 4 0.83 0.89 .0303 11 0.83 0.47 .0304 2 0.83 1.93 .0305 3 0.83 0.73 .0306 3 0.83 0.84 .0307 1 0.83 0.12 .0308 1 0.83 0.12 .0309 3 0.83 0.97 .0310 4 0.83 0.88 .0311 0 0.83 0.00 .0312 9 0.83 0.75 .0313 6 0.83 0.89 .0314 3 0.83 0.84 .0315 5 0.83 1.28 .0316 8 0.83 1.28 .0317 3 0.83 1.06 .0318 3 0.83 1.00 .0319 5 0.83 1.04 EXTRACT_IMAGE: sdR-b2-00034589.fit: masked 1496 pixels SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 0 median sigma(arc)= 0.84861669 sigma(sky)= -438.74538 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 0 sigma^2(add)= 192656.26 +/- 2113163.4 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 1 median sigma(arc)= 0.84818058 sigma(sky)= -1566.8806 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 1 sigma^2(add)= 2424713.9 +/- 4267944.0 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 2 median sigma(arc)= 0.83068392 sigma(sky)= 1.0085994 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 2 sigma^2(add)= 0.35802569 +/- 0.17253397 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 3 median sigma(arc)= 0.82688676 sigma(sky)= -0.71462700 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 3 sigma^2(add)= 0.59879148 +/- 983775.20 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 4 median sigma(arc)= 0.87254456 sigma(sky)= 1.2876599 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 4 sigma^2(add)= 0.92181915 +/- 165.82831 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 5 median sigma(arc)= 0.91749271 sigma(sky)= -42.045623 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Line # 5 sigma^2(add)= 68761.381 +/- 344666.14 SKYLINE_DISPERSION: sdR-b2-00034589.fit: Flexure sigma^2(add) = 0.17860306 +/- 0.20382956 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034589.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034589.fit: Heliocentric correction = 23.177379 km/s FITVACSET: sdR-b2-00034589.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034589.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034589.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034589.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034589.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034589.fit: Airmass range = 1.29336 1.34732 SKYSUBTRACT: sdR-b2-00034589.fit: Discarding 0.00297546 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 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of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 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of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 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of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 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of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034589.fit: Median sky-residual chi2 = 1.58056 SKYSUBTRACT: sdR-b2-00034589.fit: Max sky-residual chi2 = 11.0332 QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 7 = -29.5068 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 14 = -31.6201 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 19 = -12.6098 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 27 = 17.7187 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 53 = -19.8165 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 64 = -14.5568 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 85 = -18.9793 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 110 = -19.8538 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 115 = -16.7838 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 154 = 20.9101 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 177 = 13.5328 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 185 = 26.5695 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 261 = 10.0058 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 262 = 11.3408 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 277 = -15.7746 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 308 = -11.0707 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 309 = 14.4894 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Median sky-residual chi = 1.28433 QAPLOT_SKYSUB: sdR-b2-00034589.fit: Max sky-residual chi = 4.73113 at 6169.6976 Ang SKYSUBTRACT: sdR-b2-00034589.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034589.fit: Airmass range = 1.29336 1.34732 SKYSUBTRACT: sdR-b2-00034589.fit: Discarding 0.00297546 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 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of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 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of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 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1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034589.fit: Median sky-residual chi2 = 1.48828 SKYSUBTRACT: sdR-b2-00034589.fit: Max sky-residual chi2 = 10.1980 QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 1 = 22.4090 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 7 = -13.5767 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 14 = -17.4308 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 27 = 29.8413 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 53 = -12.1605 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 85 = -15.4076 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 110 = -20.0125 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 115 = -17.2272 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 154 = 17.2524 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 185 = 20.3787 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 202 = -13.9836 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 277 = -19.0519 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Warning: Median sky-sub flux in sky fiber 309 = 13.9055 electrons QAPLOT_SKYSUB: sdR-b2-00034589.fit: Median sky-residual chi = 1.22169 QAPLOT_SKYSUB: sdR-b2-00034589.fit: Max sky-residual chi = 4.40878 at 6169.6976 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. QAPLOT_SKYLINE: sdR-b2-00034589.fit: Airmass range = 1.29 1.35 QAPLOT_SKYLINE: sdR-b2-00034589.fit: Flux dispersion for skyline 4359.5 = 6.84 % QAPLOT_SKYLINE: sdR-b2-00034589.fit: Airmass range = 1.29 1.35 QAPLOT_SKYLINE: sdR-b2-00034589.fit: Flux dispersion for skyline 5578.9 = 2.26 % SPADD_GUIDERINFO: sdR-b2-00034589.fit: Number of guider frames = 24 SPREDUCE: sdR-b2-00034589.fit: Elapsed time = 192. seconds SPREDUCE: sdR-b2-00034590.fit: Reading object sdR-b2-00034590.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034590.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034590.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034590.fit: Measured read-noise in DN for amp# 2 = 3.75700 SDSSPROC: sdR-b2-00034590.fit: Measured bias value in DN for amp# 2 = 1234.56 SDSSPROC: sdR-b2-00034590.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034590.fit: Amp #2 Number of pix below bias-5*sigma= 1215. DN is 0 SDSSPROC: sdR-b2-00034590.fit: Measured read-noise in DN for amp# 3 = 3.34318 SDSSPROC: sdR-b2-00034590.fit: Measured bias value in DN for amp# 3 = 1205.14 SDSSPROC: sdR-b2-00034590.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034590.fit: Amp #3 Number of pix below bias-5*sigma= 1188. DN is 0 SDSSPROC: sdR-b2-00034590.fit: Number of bleading columns = 1 SDSSPROC: sdR-b2-00034590.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034590.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034590.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034590.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034590.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034590.fit: Science 25-th-percentile = 336.947 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b2-00034590.fit: Whopping fibers: 5 12 14 23 27 34 40 64 70 76 86 102 130 132 141 149 154 157 197 202 205 207 209 216 223 226 238 244 251 262 275 278 303 312 316 EXTRACT_OBJECT: sdR-b2-00034590.fit: Median counts in all fibers = 9905.10 EXTRACT_OBJECT: sdR-b2-00034590.fit: Number of bright fibers = 35 EXTRACT_OBJECT: sdR-b2-00034590.fit: Sky fiber median 539.268 EXTRACT_OBJECT: sdR-b2-00034590.fit: 5% and 95% count levels 503.966 25785.3 EXTRACT_OBJECT: sdR-b2-00034590.fit: WARNING: Disable whopping terms sdR-b2-00034590.fit MATCH_TRACE: sdR-b2-00034590.fit: Iteration: 0 Pixels Rejected: 9658 Finished? 0 MATCH_TRACE: sdR-b2-00034590.fit: Iteration: 1 Pixels Rejected: 183 Finished? 0 MATCH_TRACE: sdR-b2-00034590.fit: Iteration: 2 Pixels Rejected: 14 Finished? 0 MATCH_TRACE: sdR-b2-00034590.fit: Iteration: 3 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: sdR-b2-00034590.fit: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: sdR-b2-00034590.fit: Iteration: 5 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b2-00034590.fit: Shifting traces by match_trace 0.0300293 EXTRACT_OBJECT: sdR-b2-00034590.fit: Extracting frame sdR-b2-00034590.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034590.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 6 0.92 1.82 .0001 4 0.92 1.88 .0002 1 0.92 1.90 .0003 1 0.92 1.88 .0004 1 0.91 1.93 .0005 3 0.91 1.65 .0006 2 0.91 1.83 .0007 2 0.91 1.90 .0008 2 0.91 1.84 .0009 2 0.91 1.92 .0010 2 0.91 1.94 .0011 1 0.91 1.87 .0012 1 0.91 1.90 .0013 2 0.91 1.85 .0014 3 0.91 1.86 .0015 4 0.91 1.73 .0016 1 0.91 1.84 .0017 1 0.91 1.80 .0018 1 0.91 1.78 .0019 1 0.91 1.63 .0020 2 0.91 1.65 .0021 3 0.91 1.66 .0022 1 0.91 1.70 .0023 2 0.91 1.98 .0024 1 0.91 1.65 .0025 2 0.91 1.62 .0026 1 0.91 1.68 .0027 3 0.91 1.82 .0028 3 0.91 1.84 .0029 4 0.91 1.71 .0030 3 0.91 1.63 .0031 1 0.91 1.68 .0032 1 0.91 1.69 .0033 2 0.91 1.62 .0034 2 0.91 1.67 .0035 2 0.91 1.69 .0036 1 0.91 1.65 .0037 2 0.91 1.59 .0038 4 0.91 1.68 .0039 3 0.91 1.80 .0040 3 0.91 1.54 .0041 2 0.91 1.69 .0042 1 0.91 1.69 .0043 3 0.91 1.66 .0044 3 0.91 1.75 .0045 3 0.91 1.55 .0046 2 0.91 1.59 .0047 1 0.91 1.67 .0048 1 0.91 1.55 .0049 3 0.91 1.62 .0050 4 0.91 1.57 .0051 1 0.91 1.68 .0052 2 0.91 1.64 .0053 3 0.91 1.62 .0054 2 0.91 1.49 .0055 1 0.91 1.62 .0056 1 0.91 1.46 .0057 2 0.91 1.53 .0058 2 0.91 1.61 .0059 4 0.91 1.48 .0060 1 0.91 1.47 .0061 3 0.91 1.46 .0062 2 0.91 1.54 .0063 2 0.91 1.54 .0064 1 0.91 1.47 .0065 1 0.91 1.50 .0066 1 0.91 1.38 .0067 1 0.91 1.43 .0068 2 0.91 1.45 .0069 1 0.91 1.46 .0070 2 0.91 1.48 .0071 2 0.91 1.41 .0072 3 0.91 1.42 .0073 2 0.91 1.57 .0074 1 0.91 1.53 .0075 1 0.91 1.46 .0076 1 0.91 1.53 .0077 3 0.91 1.69 .0078 3 0.91 1.47 .0079 3 0.91 1.67 .0080 2 0.91 1.61 .0081 2 0.91 1.67 .0082 1 0.91 1.61 .0083 3 0.91 1.78 .0084 2 0.91 1.74 .0085 1 0.91 1.78 .0086 3 0.91 1.82 .0087 1 0.91 1.94 .0088 3 0.91 1.77 .0089 3 0.91 1.88 .0090 3 0.91 1.85 .0091 3 0.91 1.83 .0092 2 0.91 1.85 .0093 1 0.91 2.01 .0094 1 0.91 1.93 .0095 3 0.91 1.87 .0096 6 0.91 2.16 .0097 4 0.91 2.49 .0098 1 0.91 2.05 .0099 1 0.91 2.01 .0100 1 0.91 2.10 .0101 1 0.91 2.08 .0102 2 0.91 2.16 .0103 2 0.91 2.15 .0104 2 0.91 2.10 .0105 3 0.91 2.23 .0106 2 0.91 2.61 .0107 2 0.91 2.17 .0108 3 0.91 2.03 .0109 2 0.91 2.12 .0110 4 0.91 2.15 .0111 1 0.91 2.14 .0112 1 0.91 2.12 .0113 4 0.91 2.00 .0114 3 0.91 2.26 .0115 4 0.91 2.17 .0116 2 0.91 2.15 .0117 2 0.91 2.21 .0118 2 0.91 2.09 .0119 1 0.91 2.14 .0120 2 0.91 2.06 .0121 1 0.91 2.12 .0122 1 0.91 2.11 .0123 1 0.91 2.13 .0124 2 0.91 2.16 .0125 1 0.91 2.03 .0126 1 0.91 2.02 .0127 1 0.91 2.16 .0128 2 0.91 2.10 .0129 1 0.91 2.04 .0130 3 0.91 2.18 .0131 1 0.91 2.09 .0132 1 0.91 2.14 .0133 2 0.91 2.07 .0134 2 0.91 2.17 .0135 1 0.91 1.98 .0136 3 0.91 2.40 .0137 2 0.91 2.32 .0138 2 0.91 2.17 .0139 3 0.91 2.05 .0140 2 0.91 2.05 .0141 2 0.91 2.09 .0142 2 0.91 2.04 .0143 1 0.91 1.95 .0144 4 0.91 1.98 .0145 1 0.91 2.18 .0146 3 0.91 2.02 .0147 1 0.91 2.12 .0148 1 0.91 2.09 .0149 1 0.91 2.04 .0150 1 0.91 2.14 .0151 1 0.91 2.16 .0152 1 0.91 2.18 .0153 1 0.91 2.50 .0154 3 0.91 2.17 .0155 2 0.91 2.20 .0156 2 0.91 2.21 .0157 1 0.91 2.12 .0158 1 0.91 2.20 .0159 2 0.91 2.17 .0160 2 0.91 2.14 .0161 2 0.91 2.30 .0162 2 0.91 2.12 .0163 1 0.91 2.22 .0164 1 0.91 2.15 .0165 1 0.91 2.14 .0166 3 0.91 2.26 .0167 4 0.91 2.18 .0168 1 0.91 2.11 .0169 1 0.91 2.16 .0170 1 0.91 2.10 .0171 3 0.91 2.17 .0172 1 0.91 2.14 .0173 2 0.91 2.06 .0174 2 0.91 2.14 .0175 1 0.91 2.17 .0176 1 0.91 2.25 .0177 1 0.91 2.15 .0178 2 0.91 2.22 .0179 2 0.91 2.21 .0180 2 0.91 2.05 .0181 1 0.91 2.11 .0182 2 0.91 2.23 .0183 4 0.91 2.24 .0184 2 0.91 2.26 .0185 2 0.91 2.25 .0186 2 0.91 2.26 .0187 2 0.91 2.35 .0188 2 0.91 2.18 .0189 2 0.91 2.22 .0190 2 0.91 2.13 .0191 1 0.91 2.16 .0192 6 0.91 2.14 .0193 4 0.91 2.48 .0194 1 0.91 2.49 .0195 2 0.91 2.24 .0196 2 0.91 2.30 .0197 1 0.91 2.29 .0198 3 0.91 2.24 .0199 2 0.91 2.18 .0200 2 0.91 2.28 .0201 2 0.91 2.27 .0202 1 0.91 2.16 .0203 2 0.91 2.32 .0204 1 0.91 2.09 .0205 1 0.91 2.31 .0206 1 0.91 2.27 .0207 2 0.91 2.20 .0208 1 0.91 2.24 .0209 1 0.91 2.17 .0210 2 0.91 2.26 .0211 3 0.91 2.13 .0212 3 0.91 2.35 .0213 2 0.91 2.13 .0214 3 0.91 2.42 .0215 1 0.91 2.55 .0216 3 0.91 2.08 .0217 2 0.91 2.17 .0218 2 0.91 2.27 .0219 1 0.91 2.16 .0220 1 0.91 2.45 .0221 3 0.91 2.10 .0222 2 0.91 2.15 .0223 2 0.91 2.24 .0224 4 0.91 1.99 .0225 3 0.91 2.21 .0226 3 0.91 2.29 .0227 3 0.91 2.16 .0228 3 0.91 2.10 .0229 2 0.91 2.21 .0230 3 0.91 2.40 .0231 3 0.91 2.23 .0232 3 0.91 2.13 .0233 2 0.91 2.46 .0234 2 0.91 2.11 .0235 2 0.91 2.37 .0236 2 0.91 2.35 .0237 2 0.91 2.25 .0238 2 0.91 2.27 .0239 2 0.91 2.20 .0240 2 0.91 2.19 .0241 2 0.91 2.51 .0242 2 0.91 2.41 .0243 3 0.91 2.46 .0244 2 0.91 2.45 .0245 2 0.91 2.41 .0246 2 0.91 2.26 .0247 3 0.91 2.38 .0248 4 0.91 2.35 .0249 3 0.91 2.29 .0250 2 0.91 2.38 .0251 3 0.91 2.34 .0252 2 0.91 2.36 .0253 2 0.91 2.20 .0254 2 0.91 2.23 .0255 2 0.91 2.26 .0256 1 0.91 2.29 .0257 3 0.91 2.34 .0258 1 0.91 2.79 .0259 1 0.91 2.21 .0260 2 0.91 2.26 .0261 1 0.91 2.44 .0262 2 0.91 2.26 .0263 1 0.91 2.26 .0264 2 0.91 2.37 .0265 3 0.91 2.27 .0266 3 0.91 2.36 .0267 2 0.91 2.48 .0268 4 0.91 2.57 .0269 3 0.91 2.32 .0270 1 0.91 2.35 .0271 1 0.91 2.36 .0272 1 0.91 2.38 .0273 1 0.91 2.41 .0274 1 0.91 2.27 .0275 1 0.91 2.67 .0276 2 0.91 2.59 .0277 2 0.91 2.76 .0278 1 0.91 2.47 .0279 3 0.91 2.53 .0280 2 0.91 2.44 .0281 1 0.91 2.45 .0282 1 0.91 2.43 .0283 1 0.91 2.44 .0284 1 0.91 2.44 .0285 1 0.91 2.47 .0286 1 0.91 2.45 .0287 3 0.91 2.55 .0288 4 0.91 2.50 .0289 3 0.91 2.51 .0290 2 0.91 2.68 .0291 3 0.91 2.56 .0292 1 0.91 2.61 .0293 1 0.91 2.57 .0294 1 0.91 2.45 .0295 2 0.91 2.53 .0296 3 0.91 2.53 .0297 3 0.91 2.53 .0298 2 0.91 2.55 .0299 1 0.91 2.51 .0300 1 0.91 2.71 .0301 1 0.91 2.57 .0302 2 0.91 2.62 .0303 2 0.91 2.68 .0304 1 0.91 2.82 .0305 1 0.91 2.82 .0306 2 0.91 2.63 .0307 2 0.91 2.62 .0308 3 0.91 2.74 .0309 1 0.91 2.87 .0310 2 0.91 2.67 .0311 1 0.91 2.61 .0312 1 0.91 2.94 .0313 1 0.91 2.97 .0314 1 0.91 2.66 .0315 3 0.91 2.88 .0316 2 0.91 2.73 .0317 1 0.91 2.78 .0318 1 0.91 2.81 .0319 2 0.91 2.88 .0320 3 0.91 2.97 .0321 2 0.91 3.05 .0322 2 0.91 3.07 .0323 2 0.91 2.68 .0324 2 0.91 2.83 .0325 1 0.91 2.95 .0326 1 0.91 2.85 .0327 2 0.91 2.83 .0328 1 0.91 2.96 .0329 1 0.91 2.80 .0330 2 0.91 2.82 .0331 2 0.91 2.91 .0332 1 0.91 3.01 .0333 2 0.91 3.13 .0334 1 0.91 2.89 .0335 2 0.91 2.94 .0336 1 0.91 3.00 .0337 2 0.91 2.91 .0338 3 0.91 2.93 .0339 3 0.91 3.12 .0340 2 0.91 3.04 .0341 3 0.91 3.33 .0342 1 0.90 2.90 .0343 2 0.90 3.04 .0344 2 0.90 3.02 .0345 3 0.90 3.00 .0346 1 0.90 3.14 .0347 1 0.90 3.17 .0348 1 0.90 3.03 .0349 1 0.90 3.05 .0350 2 0.90 3.21 .0351 5 0.90 3.21 .0352 1 0.90 3.27 .0353 1 0.90 3.21 .0354 1 0.90 3.10 .0355 1 0.90 3.45 .0356 1 0.90 3.19 .0357 1 0.90 3.05 .0358 2 0.90 3.30 .0359 1 0.90 3.11 .0360 2 0.90 3.05 .0361 1 0.90 3.25 .0362 2 0.90 3.19 .0363 2 0.90 3.20 .0364 1 0.90 3.10 .0365 1 0.90 3.11 .0366 1 0.90 2.94 .0367 1 0.90 3.00 .0368 2 0.90 3.14 .0369 3 0.90 3.24 .0370 2 0.90 3.49 .0371 2 0.90 3.17 .0372 1 0.90 3.31 .0373 1 0.90 3.25 .0374 2 0.90 3.12 .0375 2 0.90 3.32 .0376 2 0.90 3.54 .0377 1 0.90 3.26 .0378 1 0.90 3.40 .0379 1 0.90 3.26 .0380 1 0.90 3.23 .0381 1 0.90 3.22 .0382 3 0.90 3.38 .0383 1 0.90 3.31 .0384 2 0.90 3.32 .0385 2 0.90 3.49 .0386 2 0.90 3.42 .0387 2 0.90 3.17 .0388 3 0.90 3.29 .0389 2 0.90 3.42 .0390 1 0.90 3.32 .0391 2 0.90 3.49 .0392 1 0.90 3.32 .0393 1 0.90 3.44 .0394 1 0.90 3.28 .0395 2 0.90 3.41 .0396 2 0.90 3.38 .0397 1 0.90 3.38 .0398 1 0.90 3.22 .0399 1 0.90 3.22 .0400 1 0.90 3.47 .0401 1 0.90 3.35 .0402 2 0.90 3.29 .0403 2 0.90 3.25 .0404 2 0.90 3.24 .0405 1 0.90 3.07 .0406 1 0.90 3.39 .0407 2 0.90 3.19 .0408 2 0.90 3.30 .0409 1 0.90 3.40 .0410 2 0.90 3.32 .0411 1 0.90 3.30 .0412 1 0.90 3.30 .0413 2 0.90 3.28 .0414 1 0.90 3.11 .0415 1 0.90 3.12 .0416 3 0.90 3.31 .0417 2 0.90 3.31 .0418 2 0.90 3.44 .0419 2 0.90 3.37 .0420 2 0.90 3.32 .0421 2 0.90 3.28 .0422 2 0.90 3.26 .0423 2 0.90 3.49 .0424 1 0.90 3.36 .0425 1 0.90 3.17 .0426 1 0.90 3.08 .0427 1 0.90 3.32 .0428 2 0.90 3.23 .0429 2 0.90 3.23 .0430 5 0.90 3.39 .0431 2 0.90 3.39 .0432 2 0.90 3.11 .0433 1 0.90 3.20 .0434 2 0.90 3.25 .0435 2 0.90 3.36 .0436 2 0.90 3.27 .0437 2 0.90 3.39 .0438 3 0.90 3.52 .0439 3 0.90 3.44 .0440 3 0.90 3.34 .0441 3 0.90 3.27 .0442 2 0.90 3.46 .0443 2 0.90 3.41 .0444 2 0.90 3.29 .0445 3 0.90 3.13 .0446 1 0.90 3.28 .0447 2 0.90 3.34 .0448 1 0.90 3.26 .0449 1 0.90 3.30 .0450 1 0.90 3.24 .0451 1 0.90 3.32 .0452 3 0.90 3.41 .0453 2 0.90 3.35 .0454 1 0.90 3.16 .0455 1 0.90 3.39 .0456 1 0.90 3.34 .0457 2 0.90 3.52 .0458 3 0.90 3.30 .0459 1 0.90 3.28 .0460 2 0.90 3.27 .0461 2 0.90 3.52 .0462 2 0.90 3.16 .0463 3 0.90 3.21 .0464 3 0.90 3.12 .0465 2 0.90 3.46 .0466 2 0.90 3.24 .0467 3 0.90 3.28 .0468 2 0.90 3.35 .0469 1 0.90 3.26 .0470 2 0.90 3.25 .0471 3 0.90 3.41 .0472 1 0.90 3.31 .0473 2 0.90 3.13 .0474 2 0.90 3.54 .0475 3 0.90 3.45 .0476 1 0.90 3.58 .0477 1 0.90 3.40 .0478 1 0.90 3.38 .0479 1 0.90 3.33 .0480 1 0.90 3.42 .0481 1 0.90 3.38 .0482 2 0.90 3.36 .0483 2 0.90 3.55 .0484 2 0.90 3.34 .0485 2 0.90 3.34 .0486 1 0.90 3.37 .0487 2 0.90 3.50 .0488 2 0.90 3.35 .0489 1 0.90 3.32 .0490 2 0.90 3.67 .0491 2 0.90 3.35 .0492 1 0.90 3.38 .0493 1 0.90 3.23 .0494 1 0.90 3.26 .0495 1 0.90 3.47 .0496 2 0.90 3.36 .0497 3 0.90 3.37 .0498 2 0.90 3.52 .0499 1 0.90 3.58 .0500 2 0.90 3.30 .0501 2 0.90 3.28 .0502 2 0.90 3.30 .0503 3 0.90 3.38 .0504 3 0.90 3.39 .0505 1 0.90 3.66 .0506 3 0.90 3.30 .0507 3 0.90 3.47 .0508 1 0.90 3.19 .0509 2 0.90 3.44 .0510 2 0.90 3.38 .0511 1 0.90 3.31 .0512 1 0.90 3.23 .0513 1 0.90 3.38 .0514 2 0.90 3.15 .0515 2 0.90 3.26 .0516 1 0.90 3.06 .0517 1 0.90 3.50 .0518 1 0.90 3.24 .0519 2 0.90 3.33 .0520 2 0.90 3.28 .0521 3 0.90 3.39 .0522 3 0.90 3.22 .0523 2 0.90 3.29 .0524 1 0.90 3.37 .0525 2 0.90 3.24 .0526 1 0.90 3.23 .0527 1 0.90 3.43 .0528 2 0.90 3.35 .0529 1 0.90 3.48 .0530 2 0.90 3.29 .0531 2 0.90 3.13 .0532 2 0.90 3.15 .0533 1 0.90 3.41 .0534 1 0.90 3.26 .0535 1 0.90 3.10 .0536 2 0.90 3.37 .0537 1 0.90 3.16 .0538 3 0.90 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2 0.89 3.46 .1816 3 0.89 3.78 .1817 3 0.89 3.72 .1818 3 0.89 3.73 .1819 4 0.89 3.61 .1820 4 0.89 3.38 .1821 2 0.89 3.43 .1822 1 0.89 3.42 .1823 2 0.89 3.50 .1824 1 0.89 3.35 .1825 2 0.89 3.51 .1826 1 0.89 3.75 .1827 2 0.89 3.44 .1828 1 0.89 3.50 .1829 2 0.89 3.31 .1830 2 0.89 3.56 .1831 3 0.89 3.40 .1832 2 0.89 3.43 .1833 1 0.89 3.39 .1834 2 0.89 3.58 .1835 3 0.89 3.40 .1836 4 0.89 3.73 .1837 3 0.89 3.53 .1838 3 0.89 3.44 .1839 1 0.89 3.57 .1840 3 0.89 3.27 .1841 2 0.89 3.57 .1842 3 0.89 3.41 .1843 2 0.89 3.75 .1844 1 0.89 3.52 .1845 1 0.89 3.39 .1846 1 0.89 3.41 .1847 3 0.89 3.21 .1848 1 0.89 3.37 .1849 1 0.89 3.32 .1850 2 0.89 3.43 .1851 1 0.89 3.40 .1852 1 0.89 3.61 .1853 2 0.89 3.69 .1854 1 0.89 3.86 .1855 2 0.89 3.50 .1856 3 0.89 3.55 .1857 2 0.89 3.61 .1858 2 0.89 3.52 .1859 2 0.89 3.38 .1860 1 0.89 3.27 .1861 1 0.89 3.52 .1862 1 0.89 3.42 .1863 1 0.89 3.48 .1864 2 0.89 3.48 .1865 1 0.89 3.34 .1866 1 0.89 3.29 .1867 3 0.89 3.17 .1868 1 0.89 3.43 .1869 1 0.89 3.34 .1870 2 0.89 3.05 .1871 2 0.89 3.37 .1872 2 0.89 3.08 .1873 2 0.89 3.31 .1874 2 0.89 3.12 .1875 2 0.89 3.16 .1876 1 0.89 3.04 .1877 2 0.89 2.99 .1878 2 0.89 2.97 .1879 1 0.89 2.89 .1880 1 0.89 2.98 .1881 1 0.89 2.86 .1882 2 0.89 2.72 .1883 2 0.89 2.79 .1884 2 0.90 2.42 .1885 1 0.90 2.49 .1886 5 0.90 2.51 .1887 3 0.90 2.45 .1888 5 0.90 2.52 .1889 3 0.90 2.66 .1890 3 0.90 2.48 .1891 3 0.90 2.41 .1892 2 0.90 2.76 .1893 2 0.90 2.67 .1894 1 0.90 2.61 .1895 1 0.90 2.71 .1896 2 0.90 2.66 .1897 2 0.90 2.83 .1898 3 0.90 2.67 .1899 3 0.90 2.64 .1900 3 0.90 2.76 .1901 2 0.90 2.41 .1902 3 0.90 2.73 .1903 3 0.90 2.73 .1904 4 0.90 2.54 .1905 1 0.90 2.74 .1906 5 0.90 2.80 .1907 5 0.90 2.74 .1908 3 0.90 2.91 .1909 2 0.90 2.60 .1910 1 0.90 2.86 .1911 2 0.90 3.05 .1912 3 0.90 3.05 .1913 1 0.90 2.94 .1914 4 0.90 3.09 .1915 2 0.90 3.21 .1916 3 0.90 2.87 .1917 1 0.90 2.91 .1918 1 0.90 2.68 .1919 1 0.90 2.66 .1920 1 0.90 2.61 .1921 1 0.90 2.54 .1922 2 0.90 2.60 .1923 2 0.90 2.62 .1924 1 0.90 2.68 .1925 2 0.90 2.58 .1926 3 0.90 2.65 .1927 1 0.90 2.77 .1928 2 0.90 2.91 .1929 3 0.90 2.87 .1930 2 0.90 2.93 .1931 2 0.90 2.92 .1932 3 0.90 2.86 .1933 1 0.90 3.01 .1934 1 0.90 3.09 .1935 2 0.90 3.16 .1936 1 0.90 3.07 .1937 1 0.90 2.82 .1938 1 0.90 3.10 .1939 2 0.90 2.78 .1940 1 0.90 2.85 .1941 2 0.90 2.85 .1942 2 0.90 2.82 .1943 1 0.90 3.03 .1944 2 0.90 2.97 .1945 1 0.90 2.86 .1946 2 0.90 3.01 .1947 3 0.90 2.78 .1948 3 0.90 2.98 .1949 1 0.90 3.03 .1950 1 0.90 3.10 .1951 2 0.90 3.07 .1952 2 0.90 3.01 .1953 1 0.90 2.89 .1954 4 0.90 2.99 .1955 2 0.90 2.89 .1956 2 0.90 3.10 .1957 1 0.90 2.73 .1958 2 0.90 2.80 .1959 3 0.90 2.69 .1960 2 0.90 2.66 .1961 2 0.90 2.63 .1962 2 0.90 2.61 .1963 2 0.90 2.35 .1964 2 0.90 2.44 .1965 2 0.90 2.48 .1966 3 0.90 2.20 .1967 2 0.90 2.45 .1968 1 0.90 2.23 .1969 1 0.90 2.42 .1970 3 0.90 2.35 .1971 3 0.90 2.24 .1972 4 0.90 2.41 .1973 3 0.90 2.59 .1974 1 0.90 2.41 .1975 1 0.90 2.52 .1976 3 0.90 2.38 .1977 2 0.90 2.56 .1978 2 0.90 2.61 .1979 2 0.90 2.58 .1980 2 0.90 2.42 .1981 1 0.90 2.39 .1982 3 0.90 2.57 .1983 3 0.90 2.34 .1984 2 0.90 2.43 .1985 1 0.90 2.49 .1986 1 0.90 2.55 .1987 1 0.90 2.46 .1988 1 0.90 2.45 .1989 1 0.90 2.62 .1990 3 0.90 2.68 .1991 2 0.90 2.64 .1992 2 0.90 2.94 .1993 1 0.90 2.90 .1994 1 0.90 2.46 .1995 1 0.90 2.66 .1996 1 0.90 2.62 .1997 2 0.90 2.74 .1998 1 0.90 2.70 .1999 3 0.90 2.64 .2000 1 0.90 2.73 .2001 2 0.90 2.93 .2002 3 0.90 2.74 .2003 1 0.90 2.76 .2004 3 0.90 2.67 .2005 2 0.90 2.90 .2006 3 0.90 2.63 .2007 3 0.90 2.71 .2008 2 0.90 2.66 .2009 1 0.90 2.65 .2010 3 0.90 2.77 .2011 1 0.90 2.49 .2012 1 0.90 2.70 .2013 2 0.90 2.66 .2014 3 0.90 2.37 .2015 2 0.90 2.42 .2016 1 0.90 2.24 .2017 2 0.90 2.34 .2018 3 0.90 2.29 .2019 1 0.90 2.19 .2020 2 0.90 2.11 .2021 1 0.90 2.21 .2022 3 0.90 2.22 .2023 2 0.90 2.33 .2024 3 0.90 2.07 .2025 3 0.91 2.42 .2026 3 0.91 2.24 .2027 3 0.91 2.07 .2028 3 0.91 2.20 .2029 1 0.91 2.27 .2030 2 0.91 2.26 .2031 3 0.91 2.06 .2032 2 0.91 2.16 .2033 2 0.91 2.22 .2034 4 0.91 2.09 .2035 3 0.91 2.06 .2036 3 0.91 2.15 .2037 2 0.91 2.19 .2038 3 0.91 2.02 .2039 2 0.91 2.12 .2040 2 0.91 2.00 .2041 1 0.91 2.04 .2042 3 0.91 2.14 .2043 3 0.91 2.15 .2044 6 0.91 2.27 .2045 3 0.91 2.41 .2046 2 0.91 2.20 .2047 3 0.91 2.34 EXTRACT_IMAGE: sdR-b2-00034590.fit: masked 2403 pixels EXTRACT_OBJECT: sdR-b2-00034590.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034590.fit: WARNING: Scattered light median = 84.8102 electrons QAPLOT_SCATLIGHT: sdR-b2-00034590.fit: WARNING: Scattered light max = 144.151 electrons EXTRACT_OBJECT: sdR-b2-00034590.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034590.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034590.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034590.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.02 0.07 Step 6 of 2080 0.62 32 0.02 0.07 Step 10 of 2080 0.62 32 0.02 0.07 Step 14 of 2080 0.62 64 0.04 0.14 Step 18 of 2080 0.61 64 0.03 0.16 Step 22 of 2080 0.61 64 0.03 0.13 Step 26 of 2080 0.61 64 0.04 0.18 Step 30 of 2080 0.61 64 0.03 0.15 Step 34 of 2080 0.61 64 0.04 0.14 Step 38 of 2080 0.61 64 0.04 0.12 Step 42 of 2080 0.61 64 0.03 0.13 Step 46 of 2080 0.61 64 0.02 0.11 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.02 0.11 Step 58 of 2080 0.61 64 0.02 0.11 Step 62 of 2080 0.61 64 0.02 0.11 Step 66 of 2080 0.61 64 0.02 0.11 Step 70 of 2080 0.61 64 0.03 0.11 Step 74 of 2080 0.61 64 0.02 0.11 Step 78 of 2080 0.61 64 0.03 0.12 Step 82 of 2080 0.61 64 0.03 0.11 Step 86 of 2080 0.61 64 0.03 0.12 Step 90 of 2080 0.61 64 0.03 0.12 Step 94 of 2080 0.61 64 0.03 0.12 Step 98 of 2080 0.60 64 0.04 0.12 Step 102 of 2080 0.60 64 0.04 0.12 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.03 0.11 Step 118 of 2080 0.60 64 0.04 0.12 Step 122 of 2080 0.60 64 0.03 0.12 Step 126 of 2080 0.60 64 0.04 0.12 Step 130 of 2080 0.60 64 0.03 0.14 Step 134 of 2080 0.60 64 0.03 0.14 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of 2080 0.46 64 0.03 0.11 Step 1274 of 2080 0.46 64 0.03 0.12 Step 1278 of 2080 0.46 64 0.03 0.11 Step 1282 of 2080 0.46 64 0.03 0.11 Step 1286 of 2080 0.46 64 0.03 0.11 Step 1290 of 2080 0.46 64 0.03 0.11 Step 1294 of 2080 0.46 64 0.03 0.11 Step 1298 of 2080 0.46 64 0.03 0.12 Step 1302 of 2080 0.46 64 0.03 0.11 Step 1306 of 2080 0.46 64 0.03 0.11 Step 1310 of 2080 0.46 64 0.03 0.11 Step 1314 of 2080 0.46 64 0.03 0.11 Step 1318 of 2080 0.46 64 0.03 0.11 Step 1322 of 2080 0.46 64 0.03 0.11 Step 1326 of 2080 0.46 64 0.03 0.11 Step 1330 of 2080 0.46 64 0.03 0.11 Step 1334 of 2080 0.46 64 0.03 0.11 Step 1338 of 2080 0.46 64 0.03 0.11 Step 1342 of 2080 0.46 64 0.03 0.12 Step 1346 of 2080 0.46 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.03 0.12 Step 1354 of 2080 0.45 64 0.03 0.11 Step 1358 of 2080 0.45 64 0.03 0.12 Step 1362 of 2080 0.45 64 0.03 0.12 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.03 0.12 Step 1374 of 2080 0.45 64 0.04 0.14 Step 1378 of 2080 0.45 64 0.04 0.14 Step 1382 of 2080 0.45 64 0.04 0.14 Step 1386 of 2080 0.45 64 0.03 0.12 Step 1390 of 2080 0.45 64 0.04 0.14 Step 1394 of 2080 0.45 64 0.04 0.13 Step 1398 of 2080 0.45 64 0.03 0.13 Step 1402 of 2080 0.45 64 0.04 0.13 Step 1406 of 2080 0.45 64 0.03 0.13 Step 1410 of 2080 0.45 64 0.03 0.13 Step 1414 of 2080 0.45 64 0.04 0.13 Step 1418 of 2080 0.45 64 0.03 0.13 Step 1422 of 2080 0.45 64 0.04 0.15 Step 1426 of 2080 0.45 64 0.04 0.14 Step 1430 of 2080 0.45 64 0.04 0.13 Step 1434 of 2080 0.45 64 0.04 0.14 Step 1438 of 2080 0.44 64 0.04 0.12 Step 1442 of 2080 0.44 64 0.04 0.12 Step 1446 of 2080 0.44 64 0.04 0.11 Step 1450 of 2080 0.44 64 0.04 0.11 Step 1454 of 2080 0.44 64 0.04 0.12 Step 1458 of 2080 0.44 64 0.04 0.12 Step 1462 of 2080 0.44 64 0.04 0.12 Step 1466 of 2080 0.44 64 0.04 0.12 Step 1470 of 2080 0.44 64 0.04 0.12 Step 1474 of 2080 0.44 64 0.05 0.13 Step 1478 of 2080 0.44 64 0.04 0.12 Step 1482 of 2080 0.44 64 0.04 0.12 Step 1486 of 2080 0.44 64 0.04 0.13 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.03 0.13 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.02 0.11 Step 1506 of 2080 0.44 64 0.02 0.11 Step 1510 of 2080 0.44 64 0.02 0.12 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.04 0.13 Step 1522 of 2080 0.44 64 0.04 0.14 Step 1526 of 2080 0.44 64 0.05 0.14 Step 1530 of 2080 0.43 64 0.05 0.14 Step 1534 of 2080 0.43 64 0.04 0.14 Step 1538 of 2080 0.43 64 0.04 0.13 Step 1542 of 2080 0.43 64 0.04 0.13 Step 1546 of 2080 0.43 64 0.05 0.14 Step 1550 of 2080 0.43 64 0.04 0.14 Step 1554 of 2080 0.43 64 0.04 0.13 Step 1558 of 2080 0.43 64 0.04 0.12 Step 1562 of 2080 0.43 64 0.04 0.12 Step 1566 of 2080 0.43 64 0.04 0.12 Step 1570 of 2080 0.43 64 0.04 0.12 Step 1574 of 2080 0.43 64 0.04 0.12 Step 1578 of 2080 0.43 64 0.04 0.12 Step 1582 of 2080 0.43 64 0.04 0.12 Step 1586 of 2080 0.43 64 0.04 0.12 Step 1590 of 2080 0.43 64 0.04 0.12 Step 1594 of 2080 0.43 64 0.04 0.12 Step 1598 of 2080 0.43 64 0.04 0.12 Step 1602 of 2080 0.43 64 0.04 0.12 Step 1606 of 2080 0.43 64 0.04 0.12 Step 1610 of 2080 0.43 64 0.04 0.12 Step 1614 of 2080 0.43 64 0.04 0.12 Step 1618 of 2080 0.43 64 0.04 0.12 Step 1622 of 2080 0.42 64 0.04 0.12 Step 1626 of 2080 0.42 64 0.04 0.12 Step 1630 of 2080 0.42 64 0.04 0.12 Step 1634 of 2080 0.42 64 0.04 0.12 Step 1638 of 2080 0.42 64 0.04 0.13 Step 1642 of 2080 0.42 64 0.04 0.12 Step 1646 of 2080 0.42 64 0.04 0.12 Step 1650 of 2080 0.42 64 0.04 0.12 Step 1654 of 2080 0.42 64 0.04 0.12 Step 1658 of 2080 0.42 64 0.04 0.12 Step 1662 of 2080 0.42 64 0.04 0.12 Step 1666 of 2080 0.42 64 0.04 0.12 Step 1670 of 2080 0.42 64 0.04 0.12 Step 1674 of 2080 0.42 64 0.04 0.12 Step 1678 of 2080 0.42 64 0.04 0.12 Step 1682 of 2080 0.42 64 0.04 0.12 Step 1686 of 2080 0.42 64 0.05 0.13 Step 1690 of 2080 0.42 64 0.04 0.12 Step 1694 of 2080 0.42 64 0.04 0.12 Step 1698 of 2080 0.42 64 0.04 0.12 Step 1702 of 2080 0.42 64 0.04 0.12 Step 1706 of 2080 0.42 64 0.04 0.12 Step 1710 of 2080 0.42 64 0.04 0.12 Step 1714 of 2080 0.42 64 0.04 0.12 Step 1718 of 2080 0.41 64 0.04 0.12 Step 1722 of 2080 0.41 64 0.04 0.12 Step 1726 of 2080 0.41 64 0.04 0.12 Step 1730 of 2080 0.41 64 0.04 0.12 Step 1734 of 2080 0.41 64 0.04 0.12 Step 1738 of 2080 0.41 64 0.04 0.12 Step 1742 of 2080 0.41 64 0.04 0.12 Step 1746 of 2080 0.41 64 0.04 0.12 Step 1750 of 2080 0.41 64 0.04 0.12 Step 1754 of 2080 0.41 64 0.04 0.12 Step 1758 of 2080 0.41 64 0.04 0.14 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.11 Step 1770 of 2080 0.41 64 0.03 0.11 Step 1774 of 2080 0.41 64 0.03 0.11 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.11 Step 1790 of 2080 0.41 64 0.03 0.11 Step 1794 of 2080 0.41 64 0.02 0.11 Step 1798 of 2080 0.41 64 0.03 0.11 Step 1802 of 2080 0.41 64 0.03 0.11 Step 1806 of 2080 0.41 64 0.03 0.12 Step 1810 of 2080 0.41 64 0.03 0.11 Step 1814 of 2080 0.40 64 0.03 0.11 Step 1818 of 2080 0.40 64 0.03 0.11 Step 1822 of 2080 0.40 64 0.04 0.12 Step 1826 of 2080 0.40 64 0.04 0.12 Step 1830 of 2080 0.40 64 0.04 0.13 Step 1834 of 2080 0.40 64 0.04 0.13 Step 1838 of 2080 0.40 64 0.04 0.12 Step 1842 of 2080 0.40 64 0.04 0.15 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.04 0.13 Step 1854 of 2080 0.40 64 0.04 0.13 Step 1858 of 2080 0.40 64 0.04 0.13 Step 1862 of 2080 0.40 64 0.04 0.14 Step 1866 of 2080 0.40 64 0.04 0.14 Step 1870 of 2080 0.40 64 0.04 0.14 Step 1874 of 2080 0.40 64 0.05 0.15 Step 1878 of 2080 0.40 64 0.04 0.14 Step 1882 of 2080 0.40 64 0.05 0.15 Step 1886 of 2080 0.40 64 0.04 0.14 Step 1890 of 2080 0.40 64 0.04 0.15 Step 1894 of 2080 0.40 64 0.04 0.14 Step 1898 of 2080 0.40 64 0.04 0.14 Step 1902 of 2080 0.40 64 0.04 0.14 Step 1906 of 2080 0.40 64 0.04 0.14 Step 1910 of 2080 0.39 64 0.04 0.15 Step 1914 of 2080 0.39 64 0.05 0.14 Step 1918 of 2080 0.39 64 0.04 0.12 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.13 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.03 0.11 Step 1942 of 2080 0.39 64 0.03 0.13 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.13 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.02 0.11 Step 1966 of 2080 0.39 64 0.02 0.11 Step 1970 of 2080 0.39 64 0.02 0.11 Step 1974 of 2080 0.39 64 0.02 0.11 Step 1978 of 2080 0.39 64 0.02 0.11 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.11 Step 1990 of 2080 0.39 64 0.03 0.11 Step 1994 of 2080 0.39 64 0.03 0.11 Step 1998 of 2080 0.39 64 0.04 0.12 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.39 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.13 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.04 0.13 Step 2026 of 2080 0.38 64 0.03 0.11 Step 2030 of 2080 0.38 64 0.04 0.12 Step 2034 of 2080 0.38 64 0.05 0.12 Step 2038 of 2080 0.38 64 0.04 0.12 Step 2042 of 2080 0.38 64 0.05 0.13 Step 2046 of 2080 0.38 64 0.04 0.12 Step 2050 of 2080 0.38 64 0.04 0.12 Step 2054 of 2080 0.38 64 0.04 0.12 Step 2058 of 2080 0.38 64 0.04 0.12 Step 2062 of 2080 0.38 64 0.04 0.12 Step 2066 of 2080 0.38 64 0.04 0.13 Step 2070 of 2080 0.38 64 0.05 0.13 Step 2074 of 2080 0.38 64 0.05 0.12 Step 2078 of 2080 0.38 64 0.04 0.12 EXTRACT_OBJECT: sdR-b2-00034590.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 8 0.92 2.67 .0001 3 0.92 3.09 .0002 1 0.92 3.40 .0003 1 0.92 3.65 .0004 1 0.91 3.92 .0005 3 0.91 3.82 .0006 1 0.91 4.16 .0007 2 0.91 3.65 .0008 2 0.91 3.73 .0009 2 0.91 3.72 .0010 2 0.91 3.75 .0011 1 0.91 3.57 .0012 1 0.91 3.38 .0013 2 0.91 3.38 .0014 3 0.91 3.30 .0015 2 0.91 3.40 .0016 1 0.91 3.01 .0017 1 0.91 2.90 .0018 1 0.91 2.90 .0019 1 0.91 2.87 .0020 2 0.91 2.66 .0021 2 0.91 2.93 .0022 1 0.91 2.35 .0023 2 0.91 2.78 .0024 1 0.91 2.22 .0025 2 0.91 2.23 .0026 1 0.91 2.31 .0027 3 0.91 2.31 .0028 3 0.91 2.29 .0029 4 0.91 2.08 .0030 3 0.91 2.09 .0031 1 0.91 1.90 .0032 1 0.91 2.03 .0033 2 0.91 1.86 .0034 2 0.91 1.87 .0035 2 0.91 1.84 .0036 1 0.91 1.76 .0037 2 0.91 1.62 .0038 4 0.91 1.70 .0039 3 0.91 1.83 .0040 3 0.91 1.52 .0041 2 0.91 1.62 .0042 1 0.91 1.63 .0043 3 0.91 1.54 .0044 3 0.91 1.65 .0045 3 0.91 1.46 .0046 3 0.91 1.41 .0047 1 0.91 1.54 .0048 1 0.91 1.43 .0049 3 0.91 1.45 .0050 4 0.91 1.43 .0051 1 0.91 1.54 .0052 2 0.91 1.51 .0053 3 0.91 1.52 .0054 2 0.91 1.39 .0055 1 0.91 1.46 .0056 1 0.91 1.30 .0057 2 0.91 1.40 .0058 2 0.91 1.48 .0059 4 0.91 1.34 .0060 1 0.91 1.38 .0061 3 0.91 1.31 .0062 2 0.91 1.41 .0063 2 0.91 1.40 .0064 1 0.91 1.35 .0065 1 0.91 1.36 .0066 1 0.91 1.26 .0067 1 0.91 1.29 .0068 2 0.91 1.32 .0069 1 0.91 1.34 .0070 2 0.91 1.34 .0071 2 0.91 1.27 .0072 3 0.91 1.33 .0073 2 0.91 1.43 .0074 1 0.91 1.38 .0075 1 0.91 1.35 .0076 1 0.91 1.39 .0077 3 0.91 1.54 .0078 3 0.91 1.38 .0079 3 0.91 1.56 .0080 2 0.91 1.46 .0081 2 0.91 1.51 .0082 1 0.91 1.48 .0083 3 0.91 1.62 .0084 2 0.91 1.59 .0085 1 0.91 1.61 .0086 3 0.91 1.66 .0087 1 0.91 1.77 .0088 3 0.91 1.63 .0089 3 0.91 1.73 .0090 3 0.91 1.73 .0091 3 0.91 1.69 .0092 2 0.91 1.70 .0093 1 0.91 1.88 .0094 1 0.91 1.79 .0095 3 0.91 1.72 .0096 6 0.91 2.02 .0097 4 0.91 2.32 .0098 1 0.91 1.89 .0099 1 0.91 1.83 .0100 1 0.91 1.93 .0101 1 0.91 1.92 .0102 2 0.91 2.01 .0103 2 0.91 1.99 .0104 2 0.91 1.95 .0105 3 0.91 2.05 .0106 2 0.91 2.43 .0107 2 0.91 1.95 .0108 3 0.91 1.86 .0109 2 0.91 1.95 .0110 4 0.91 1.97 .0111 1 0.91 1.97 .0112 1 0.91 1.93 .0113 4 0.91 1.83 .0114 3 0.91 2.10 .0115 4 0.91 2.00 .0116 2 0.91 1.95 .0117 2 0.91 2.00 .0118 2 0.91 1.88 .0119 1 0.91 1.94 .0120 2 0.91 1.89 .0121 1 0.91 1.91 .0122 1 0.91 1.92 .0123 1 0.91 1.94 .0124 2 0.91 1.97 .0125 1 0.91 1.83 .0126 1 0.91 1.84 .0127 1 0.91 1.91 .0128 2 0.91 1.90 .0129 1 0.91 1.84 .0130 3 0.91 1.92 .0131 1 0.91 1.94 .0132 1 0.91 1.90 .0133 2 0.91 1.85 .0134 2 0.91 1.92 .0135 1 0.91 1.77 .0136 3 0.91 2.19 .0137 2 0.91 2.14 .0138 2 0.91 1.93 .0139 3 0.91 1.86 .0140 2 0.91 1.86 .0141 2 0.91 1.88 .0142 2 0.91 1.82 .0143 1 0.91 1.77 .0144 4 0.91 1.76 .0145 1 0.91 1.95 .0146 3 0.91 1.80 .0147 1 0.91 1.90 .0148 1 0.91 1.83 .0149 1 0.91 1.84 .0150 1 0.91 1.86 .0151 1 0.91 1.90 .0152 1 0.91 1.94 .0153 2 0.91 2.03 .0154 3 0.91 1.98 .0155 2 0.91 1.96 .0156 2 0.91 1.96 .0157 1 0.91 1.90 .0158 1 0.91 1.96 .0159 2 0.91 1.99 .0160 2 0.91 1.91 .0161 2 0.91 2.03 .0162 2 0.91 1.91 .0163 1 0.91 1.97 .0164 1 0.91 1.90 .0165 1 0.91 1.90 .0166 3 0.91 2.04 .0167 4 0.91 1.95 .0168 1 0.91 1.87 .0169 1 0.91 1.95 .0170 1 0.91 1.88 .0171 3 0.91 1.98 .0172 1 0.91 1.93 .0173 2 0.91 1.84 .0174 2 0.91 1.88 .0175 1 0.91 1.94 .0176 1 0.91 2.01 .0177 1 0.91 1.91 .0178 2 0.91 1.92 .0179 2 0.91 1.97 .0180 2 0.91 1.78 .0181 1 0.91 1.90 .0182 2 0.91 2.01 .0183 4 0.91 1.99 .0184 2 0.91 2.03 .0185 2 0.91 1.94 .0186 2 0.91 1.98 .0187 3 0.91 1.94 .0188 2 0.91 1.96 .0189 2 0.91 1.96 .0190 2 0.91 1.88 .0191 1 0.91 1.94 .0192 6 0.91 1.82 .0193 4 0.91 2.20 .0194 1 0.91 2.23 .0195 2 0.91 1.98 .0196 2 0.91 2.00 .0197 1 0.91 2.11 .0198 3 0.91 2.02 .0199 2 0.91 1.93 .0200 2 0.91 2.01 .0201 2 0.91 2.00 .0202 1 0.91 1.92 .0203 2 0.91 2.04 .0204 1 0.91 1.85 .0205 1 0.91 2.00 .0206 1 0.91 1.95 .0207 2 0.91 1.92 .0208 1 0.91 1.99 .0209 1 0.91 1.91 .0210 2 0.91 1.95 .0211 3 0.91 1.86 .0212 3 0.91 2.08 .0213 2 0.91 1.84 .0214 3 0.91 2.12 .0215 1 0.91 2.28 .0216 3 0.91 1.82 .0217 2 0.91 1.87 .0218 2 0.91 1.93 .0219 1 0.91 1.86 .0220 1 0.91 2.20 .0221 3 0.91 1.80 .0222 2 0.91 1.89 .0223 3 0.91 1.86 .0224 4 0.91 1.74 .0225 3 0.91 1.93 .0226 3 0.91 2.03 .0227 3 0.91 1.90 .0228 3 0.91 1.88 .0229 2 0.91 1.86 .0230 3 0.91 2.06 .0231 3 0.91 1.93 .0232 3 0.91 1.85 .0233 2 0.91 2.12 .0234 2 0.91 1.86 .0235 2 0.91 2.05 .0236 2 0.91 1.97 .0237 2 0.91 1.95 .0238 2 0.91 1.93 .0239 2 0.91 1.86 .0240 2 0.91 1.88 .0241 2 0.91 2.27 .0242 2 0.91 2.07 .0243 3 0.91 2.17 .0244 2 0.91 2.16 .0245 3 0.91 1.97 .0246 2 0.91 1.94 .0247 3 0.91 2.03 .0248 4 0.91 2.04 .0249 3 0.91 1.96 .0250 2 0.91 2.10 .0251 3 0.91 1.99 .0252 3 0.91 1.96 .0253 2 0.91 1.88 .0254 2 0.91 1.88 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0.91 2.29 .0311 1 0.91 2.22 .0312 1 0.91 2.54 .0313 1 0.91 2.62 .0314 1 0.91 2.28 .0315 3 0.91 2.50 .0316 2 0.91 2.39 .0317 1 0.91 2.43 .0318 1 0.91 2.41 .0319 2 0.91 2.45 .0320 3 0.91 2.58 .0321 2 0.91 2.61 .0322 2 0.91 2.66 .0323 2 0.91 2.29 .0324 2 0.91 2.42 .0325 1 0.91 2.63 .0326 1 0.91 2.40 .0327 2 0.91 2.41 .0328 1 0.91 2.55 .0329 1 0.91 2.41 .0330 2 0.91 2.44 .0331 2 0.91 2.46 .0332 1 0.91 2.63 .0333 2 0.91 2.71 .0334 1 0.91 2.51 .0335 2 0.91 2.51 .0336 1 0.91 2.59 .0337 2 0.91 2.47 .0338 3 0.91 2.51 .0339 4 0.91 2.52 .0340 2 0.91 2.58 .0341 3 0.91 2.93 .0342 1 0.90 2.50 .0343 2 0.90 2.59 .0344 2 0.90 2.60 .0345 2 0.90 2.52 .0346 1 0.90 2.69 .0347 1 0.90 2.65 .0348 1 0.90 2.61 .0349 1 0.90 2.63 .0350 2 0.90 2.78 .0351 5 0.90 2.73 .0352 1 0.90 2.81 .0353 1 0.90 2.79 .0354 1 0.90 2.64 .0355 2 0.90 2.77 .0356 1 0.90 2.75 .0357 1 0.90 2.61 .0358 2 0.90 2.85 .0359 1 0.90 2.68 .0360 2 0.90 2.59 .0361 1 0.90 2.79 .0362 2 0.90 2.81 .0363 2 0.90 2.74 .0364 1 0.90 2.66 .0365 1 0.90 2.64 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.2031 3 0.91 1.67 .2032 2 0.91 1.75 .2033 3 0.91 1.71 .2034 4 0.91 1.67 .2035 3 0.91 1.66 .2036 3 0.91 1.74 .2037 3 0.91 1.71 .2038 3 0.91 1.64 .2039 2 0.91 1.74 .2040 2 0.91 1.62 .2041 1 0.91 1.66 .2042 3 0.91 1.69 .2043 3 0.91 1.75 .2044 6 0.91 1.88 .2045 2 0.91 1.90 .2046 2 0.91 1.80 .2047 3 0.91 1.92 EXTRACT_IMAGE: sdR-b2-00034590.fit: masked 2565 pixels EXTRACT_OBJECT: sdR-b2-00034590.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034590.fit: Scattered light median = 2.12664 electrons QAPLOT_SCATLIGHT: sdR-b2-00034590.fit: WARNING: Scattered light max = 76.0223 electrons EXTRACT_OBJECT: sdR-b2-00034590.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 3 0.92 9.65 .0001 3 0.92 5.95 .0002 2 0.92 4.87 .0003 1 0.92 4.79 .0004 2 0.91 4.73 .0005 3 0.91 4.44 .0006 2 0.91 4.57 .0007 2 0.91 4.42 .0008 2 0.91 4.33 .0009 2 0.91 4.42 .0010 3 0.91 4.44 .0011 1 0.91 4.29 .0012 2 0.91 3.97 .0013 2 0.91 3.94 .0014 4 0.91 3.97 .0015 2 0.91 4.02 .0016 2 0.91 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4 0.91 2.48 .0184 2 0.91 2.43 .0185 2 0.91 2.46 .0186 2 0.91 2.50 .0187 3 0.91 2.47 .0188 2 0.91 2.46 .0189 2 0.91 2.51 .0190 2 0.91 2.43 .0191 1 0.91 2.52 .0192 6 0.91 2.45 .0193 4 0.91 2.68 .0194 3 0.91 2.61 .0195 5 0.91 2.45 .0196 2 0.91 2.50 .0197 1 0.91 2.58 .0198 2 0.91 2.53 .0199 2 0.91 2.51 .0200 3 0.91 2.54 .0201 2 0.91 2.60 .0202 2 0.91 2.41 .0203 2 0.91 2.64 .0204 1 0.91 2.48 .0205 1 0.91 2.54 .0206 2 0.91 2.49 .0207 2 0.91 2.52 .0208 1 0.91 2.59 .0209 1 0.91 2.41 .0210 2 0.91 2.48 .0211 3 0.91 2.45 .0212 4 0.91 2.53 .0213 2 0.91 2.38 .0214 3 0.91 2.69 .0215 3 0.91 2.53 .0216 3 0.91 2.35 .0217 3 0.91 2.31 .0218 2 0.91 2.37 .0219 1 0.91 2.39 .0220 1 0.91 2.60 .0221 3 0.91 2.28 .0222 2 0.91 2.32 .0223 3 0.91 2.40 .0224 4 0.91 2.19 .0225 4 0.91 2.43 .0226 3 0.91 2.48 .0227 3 0.91 2.47 .0228 3 0.91 2.34 .0229 2 0.91 2.36 .0230 3 0.91 2.56 .0231 4 0.91 2.32 .0232 3 0.91 2.37 .0233 2 0.91 2.55 .0234 2 0.91 2.33 .0235 2 0.91 2.44 .0236 2 0.91 2.40 .0237 3 0.91 2.40 .0238 3 0.91 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2 0.89 2.85 .1627 3 0.89 2.85 .1628 2 0.89 2.93 .1629 3 0.89 2.81 .1630 2 0.89 2.90 .1631 2 0.89 2.72 .1632 1 0.89 3.01 .1633 1 0.89 2.75 .1634 2 0.89 2.92 .1635 3 0.89 3.02 .1636 2 0.89 2.87 .1637 2 0.89 2.81 .1638 3 0.89 2.67 .1639 2 0.89 2.70 .1640 1 0.89 2.95 .1641 2 0.89 2.79 .1642 2 0.89 2.95 .1643 1 0.89 2.87 .1644 2 0.89 2.96 .1645 2 0.89 3.09 .1646 3 0.89 2.98 .1647 1 0.89 2.89 .1648 2 0.89 2.91 .1649 3 0.89 2.78 .1650 3 0.89 2.74 .1651 1 0.89 2.87 .1652 1 0.89 3.11 .1653 3 0.89 2.90 .1654 2 0.89 2.97 .1655 2 0.89 2.83 .1656 1 0.89 2.97 .1657 1 0.89 2.99 .1658 2 0.89 2.87 .1659 1 0.89 2.91 .1660 2 0.89 2.83 .1661 1 0.89 2.73 .1662 1 0.89 3.03 .1663 3 0.89 2.89 .1664 5 0.89 2.90 .1665 3 0.89 2.90 .1666 4 0.89 2.76 .1667 3 0.89 2.89 .1668 2 0.89 3.04 .1669 1 0.89 3.00 .1670 3 0.89 3.03 .1671 2 0.89 3.02 .1672 1 0.89 2.88 .1673 2 0.89 2.88 .1674 4 0.89 3.14 .1675 3 0.89 2.76 .1676 4 0.89 3.18 .1677 2 0.89 3.04 .1678 2 0.89 2.84 .1679 2 0.89 2.92 .1680 3 0.89 2.90 .1681 4 0.89 2.95 .1682 2 0.89 3.08 .1683 4 0.89 2.99 .1684 2 0.89 3.07 .1685 2 0.89 3.02 .1686 3 0.89 2.90 .1687 2 0.89 3.16 .1688 3 0.89 2.91 .1689 4 0.89 2.88 .1690 2 0.89 2.89 .1691 1 0.89 3.00 .1692 2 0.89 2.84 .1693 2 0.89 2.96 .1694 2 0.89 3.12 .1695 1 0.89 2.99 .1696 2 0.89 2.94 .1697 3 0.89 2.97 .1698 3 0.89 3.09 .1699 3 0.89 3.04 .1700 4 0.89 3.17 .1701 3 0.89 2.90 .1702 3 0.89 3.05 .1703 3 0.89 3.02 .1704 3 0.89 3.06 .1705 4 0.89 2.91 .1706 3 0.89 2.99 .1707 2 0.89 3.05 .1708 3 0.89 3.21 .1709 3 0.89 3.09 .1710 5 0.89 3.21 .1711 2 0.89 3.04 .1712 3 0.89 3.16 .1713 3 0.89 2.97 .1714 3 0.89 3.06 .1715 3 0.89 2.91 .1716 3 0.89 3.15 .1717 3 0.89 2.94 .1718 3 0.89 3.06 .1719 1 0.89 3.02 .1720 1 0.89 3.03 .1721 3 0.89 3.10 .1722 2 0.89 2.98 .1723 2 0.89 2.93 .1724 3 0.89 3.07 .1725 3 0.89 3.12 .1726 2 0.89 3.02 .1727 1 0.89 3.08 .1728 2 0.89 2.95 .1729 3 0.89 3.15 .1730 6 0.89 2.94 .1731 2 0.89 2.95 .1732 2 0.89 3.09 .1733 4 0.89 3.13 .1734 5 0.89 2.97 .1735 4 0.89 2.90 .1736 2 0.89 2.97 .1737 1 0.89 2.98 .1738 1 0.89 2.93 .1739 3 0.89 3.01 .1740 3 0.89 3.05 .1741 2 0.89 3.02 .1742 1 0.89 3.06 .1743 2 0.89 2.85 .1744 3 0.89 2.98 .1745 4 0.89 3.16 .1746 3 0.89 3.01 .1747 1 0.89 2.92 .1748 3 0.89 2.94 .1749 3 0.89 2.87 .1750 2 0.89 2.89 .1751 3 0.89 2.75 .1752 3 0.89 2.84 .1753 2 0.89 2.60 .1754 1 0.89 2.55 .1755 2 0.89 2.32 .1756 3 0.89 2.31 .1757 2 0.89 2.39 .1758 2 0.89 2.36 .1759 4 0.89 2.52 .1760 2 0.89 2.46 .1761 2 0.89 2.38 .1762 2 0.89 2.40 .1763 2 0.89 2.43 .1764 3 0.89 2.63 .1765 2 0.89 2.59 .1766 2 0.89 2.51 .1767 2 0.89 2.72 .1768 1 0.89 2.61 .1769 2 0.89 2.64 .1770 3 0.89 2.61 .1771 4 0.89 2.50 .1772 2 0.89 2.68 .1773 1 0.89 2.59 .1774 1 0.89 2.54 .1775 1 0.89 2.61 .1776 1 0.89 2.73 .1777 2 0.89 3.01 .1778 4 0.89 2.66 .1779 3 0.89 2.63 .1780 1 0.89 2.67 .1781 2 0.89 2.65 .1782 4 0.89 2.85 .1783 2 0.89 2.92 .1784 3 0.89 2.69 .1785 3 0.89 2.75 .1786 2 0.89 3.04 .1787 1 0.89 2.97 .1788 4 0.89 3.04 .1789 4 0.89 2.81 .1790 3 0.89 3.06 .1791 3 0.89 2.91 .1792 2 0.89 2.97 .1793 2 0.89 2.88 .1794 1 0.89 2.86 .1795 3 0.89 2.97 .1796 3 0.89 3.04 .1797 3 0.89 2.77 .1798 1 0.89 3.11 .1799 1 0.89 2.71 .1800 1 0.89 2.85 .1801 1 0.89 2.96 .1802 2 0.89 2.98 .1803 2 0.89 2.84 .1804 3 0.89 3.05 .1805 4 0.89 2.98 .1806 2 0.89 3.07 .1807 2 0.89 3.06 .1808 2 0.89 2.99 .1809 1 0.89 2.86 .1810 2 0.89 2.85 .1811 1 0.89 2.89 .1812 2 0.89 2.98 .1813 2 0.89 3.01 .1814 1 0.89 2.88 .1815 2 0.89 3.01 .1816 3 0.89 3.21 .1817 3 0.89 3.28 .1818 3 0.89 3.08 .1819 4 0.89 3.03 .1820 4 0.89 2.97 .1821 4 0.89 2.86 .1822 1 0.89 2.93 .1823 3 0.89 2.88 .1824 1 0.89 2.89 .1825 2 0.89 3.02 .1826 3 0.89 3.10 .1827 2 0.89 2.93 .1828 2 0.89 3.07 .1829 2 0.89 2.90 .1830 3 0.89 2.95 .1831 3 0.89 2.92 .1832 2 0.89 3.04 .1833 1 0.89 2.98 .1834 3 0.89 2.96 .1835 3 0.89 3.06 .1836 5 0.89 3.09 .1837 3 0.89 3.05 .1838 3 0.89 3.03 .1839 1 0.89 3.12 .1840 3 0.89 2.86 .1841 2 0.89 3.14 .1842 3 0.89 2.97 .1843 2 0.89 3.22 .1844 1 0.89 3.10 .1845 1 0.89 2.92 .1846 1 0.89 3.00 .1847 3 0.89 2.83 .1848 1 0.89 2.97 .1849 1 0.89 2.80 .1850 2 0.89 3.01 .1851 1 0.89 2.98 .1852 3 0.89 2.87 .1853 2 0.89 3.11 .1854 2 0.89 3.17 .1855 3 0.89 2.87 .1856 3 0.89 2.84 .1857 2 0.89 3.04 .1858 2 0.89 3.00 .1859 2 0.89 2.95 .1860 1 0.89 2.82 .1861 2 0.89 2.91 .1862 2 0.89 2.93 .1863 1 0.89 3.05 .1864 2 0.89 2.86 .1865 2 0.89 2.90 .1866 1 0.89 2.78 .1867 4 0.89 2.76 .1868 3 0.89 2.89 .1869 1 0.89 2.84 .1870 2 0.89 2.69 .1871 2 0.89 2.89 .1872 3 0.89 2.76 .1873 2 0.89 2.88 .1874 3 0.89 2.72 .1875 2 0.89 2.89 .1876 1 0.89 2.66 .1877 2 0.89 2.48 .1878 2 0.89 2.62 .1879 1 0.89 2.51 .1880 1 0.89 2.56 .1881 1 0.89 2.43 .1882 2 0.89 2.34 .1883 3 0.89 2.36 .1884 2 0.90 2.00 .1885 1 0.90 2.13 .1886 4 0.90 2.02 .1887 3 0.90 2.06 .1888 5 0.90 1.97 .1889 4 0.90 2.06 .1890 3 0.90 2.15 .1891 3 0.90 2.04 .1892 3 0.90 2.27 .1893 2 0.90 2.10 .1894 1 0.90 2.28 .1895 2 0.90 2.26 .1896 2 0.90 2.28 .1897 3 0.90 2.18 .1898 6 0.90 2.23 .1899 3 0.90 2.33 .1900 4 0.90 2.19 .1901 2 0.90 2.19 .1902 3 0.90 2.35 .1903 4 0.90 2.33 .1904 4 0.90 2.22 .1905 1 0.90 2.39 .1906 5 0.90 2.55 .1907 4 0.90 2.53 .1908 2 0.90 2.50 .1909 2 0.90 2.34 .1910 1 0.90 2.53 .1911 3 0.90 2.46 .1912 2 0.90 2.56 .1913 1 0.90 2.62 .1914 4 0.90 2.67 .1915 2 0.90 2.80 .1916 3 0.90 2.46 .1917 1 0.90 2.49 .1918 1 0.90 2.30 .1919 1 0.90 2.20 .1920 2 0.90 2.17 .1921 1 0.90 2.17 .1922 3 0.90 2.10 .1923 2 0.90 2.21 .1924 1 0.90 2.21 .1925 2 0.90 2.18 .1926 3 0.90 2.21 .1927 1 0.90 2.36 .1928 3 0.90 2.56 .1929 3 0.90 2.48 .1930 3 0.90 2.32 .1931 3 0.90 2.47 .1932 3 0.90 2.47 .1933 2 0.90 2.42 .1934 2 0.90 2.50 .1935 3 0.90 2.52 .1936 1 0.90 2.55 .1937 1 0.90 2.46 .1938 2 0.90 2.46 .1939 2 0.90 2.44 .1940 1 0.90 2.42 .1941 2 0.90 2.45 .1942 2 0.90 2.45 .1943 2 0.90 2.45 .1944 2 0.90 2.60 .1945 1 0.90 2.45 .1946 2 0.90 2.57 .1947 3 0.90 2.46 .1948 4 0.90 2.48 .1949 1 0.90 2.65 .1950 2 0.90 2.61 .1951 3 0.90 2.50 .1952 3 0.90 2.48 .1953 1 0.90 2.62 .1954 3 0.90 2.54 .1955 3 0.90 2.48 .1956 3 0.90 2.52 .1957 1 0.90 2.38 .1958 2 0.90 2.34 .1959 3 0.90 2.36 .1960 3 0.90 2.37 .1961 2 0.90 2.34 .1962 2 0.90 2.21 .1963 2 0.90 2.06 .1964 3 0.90 2.15 .1965 5 0.90 2.07 .1966 3 0.90 1.90 .1967 2 0.90 1.99 .1968 1 0.90 1.95 .1969 1 0.90 2.00 .1970 3 0.90 1.98 .1971 3 0.90 2.00 .1972 3 0.90 2.19 .1973 3 0.90 2.16 .1974 1 0.90 2.13 .1975 1 0.90 2.20 .1976 3 0.90 2.05 .1977 3 0.90 2.15 .1978 3 0.90 2.18 .1979 2 0.90 2.25 .1980 2 0.90 2.07 .1981 1 0.90 2.07 .1982 4 0.90 2.10 .1983 3 0.90 2.02 .1984 2 0.90 2.06 .1985 1 0.90 2.11 .1986 1 0.90 2.18 .1987 1 0.90 2.10 .1988 1 0.90 2.13 .1989 1 0.90 2.31 .1990 3 0.90 2.33 .1991 2 0.90 2.33 .1992 3 0.90 2.43 .1993 2 0.90 2.32 .1994 1 0.90 2.19 .1995 1 0.90 2.32 .1996 1 0.90 2.32 .1997 4 0.90 2.31 .1998 1 0.90 2.39 .1999 3 0.90 2.34 .2000 1 0.90 2.35 .2001 3 0.90 2.50 .2002 3 0.90 2.35 .2003 2 0.90 2.30 .2004 3 0.90 2.34 .2005 3 0.90 2.47 .2006 3 0.90 2.41 .2007 3 0.90 2.40 .2008 2 0.90 2.34 .2009 1 0.90 2.35 .2010 4 0.90 2.43 .2011 1 0.90 2.27 .2012 1 0.90 2.31 .2013 2 0.90 2.37 .2014 3 0.90 2.18 .2015 2 0.90 2.32 .2016 1 0.90 2.15 .2017 2 0.90 2.19 .2018 3 0.90 2.11 .2019 1 0.90 1.94 .2020 2 0.90 1.90 .2021 1 0.90 1.93 .2022 3 0.90 1.91 .2023 2 0.90 2.05 .2024 3 0.90 1.83 .2025 3 0.91 2.03 .2026 3 0.91 1.97 .2027 3 0.91 1.69 .2028 3 0.91 1.79 .2029 1 0.91 1.91 .2030 2 0.91 1.90 .2031 3 0.91 1.83 .2032 2 0.91 1.85 .2033 3 0.91 1.82 .2034 4 0.91 1.81 .2035 3 0.91 1.88 .2036 3 0.91 1.90 .2037 3 0.91 1.74 .2038 3 0.91 1.88 .2039 2 0.91 1.97 .2040 4 0.91 1.91 .2041 1 0.91 1.94 .2042 3 0.91 2.04 .2043 3 0.91 2.13 .2044 6 0.91 2.36 .2045 3 0.91 2.25 .2046 3 0.91 2.29 .2047 3 0.91 2.50 EXTRACT_IMAGE: sdR-b2-00034590.fit: masked 3994 pixels DIVIDEFLAT: sdR-b2-00034590.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034590.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034590.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034590.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034590.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034590.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034590.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034590.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034590.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034590.fit: sky shift reference line, offset: 5577.3390 -0.011141063 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 0 1.6262053 26.290108 -0.13242110 1.0031455 104.95266 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 6 0.90301636 -0.17695677 0.42706970 2.0000000 71.775174 LOCATESKYLINES_2: sdR-b2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 13 1.3221780 -12.633989 -0.17968072 1.1143445 108.16877 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 18 1.1650166 2.0771263 0.10091996 1.1777213 127.83166 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 26 0.82797498 -11.522824 -0.29062322 1.3700324 101.31565 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 52 0.46101627 3.2154039 -0.32684071 0.84605290 89.284661 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 60 1.3829894 25.456505 -0.15464188 0.74052382 76.809481 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 63 1.1250448 20.415169 0.040383617 0.72688198 65.764291 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 82 1.7164171 -29.702208 -0.70384271 1.5323648 110.78325 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 84 1.6066842 -26.239315 0.11795243 1.2675079 93.547811 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 109 1.4427086 -3.8493605 0.0081319159 0.85608894 86.824873 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 114 0.94651978 -3.3488206 -0.00011259701 0.94550302 85.207629 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 131 3.5493845 -19.229703 -0.30598949 1.1311611 67.560790 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 153 0.94171936 4.0956774 -0.23630201 0.81879856 73.819194 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 176 1.1146969 17.632070 -0.22166137 1.2744266 105.46508 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 180 1.7675333 35.966539 -0.33086594 1.1255913 78.510069 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 184 2.3689742 31.741812 -0.47160963 0.92727604 79.607972 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 185 0.87904257 14.032962 -0.37845321 2.0000000 70.810548 LOCATESKYLINES_2: sdR-b2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 186 0.62358928 6.2037799 -0.35385821 1.4790838 102.98503 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 201 0.97502745 -19.270575 0.31010070 0.94413148 88.704555 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 204 1.5345850 -23.291399 0.066213139 0.82126388 124.99568 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 206 1.3501395 -25.365110 0.087891317 1.0574719 84.517227 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 213 2.8933937 29.319489 -0.22863809 0.60000000 124.39400 LOCATESKYLINES_2: sdR-b2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 235 1.3529889 8.6769183 0.20442820 1.0704591 61.429241 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 257 1.4931875 12.590855 -0.25829205 1.1416953 69.643701 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 259 2.0692085 36.385368 -0.12170064 0.87599504 94.090314 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 260 0.18944923 10.037709 -0.13746294 1.1011724 92.199564 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 261 1.0335204 21.712563 0.0069104367 0.99657293 78.558980 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 265 1.6808759 -0.93654842 -0.27305606 1.1941509 88.455852 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 271 0.55805455 0.79529892 -0.11999013 0.88917874 106.82572 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 276 1.5312748 -29.113741 -0.96064995 1.5292143 69.684125 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 281 1.1635964 -0.40050157 -0.17529942 0.96044600 103.83523 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 284 0.43425899 -25.762847 -0.097273127 2.0000000 117.98099 LOCATESKYLINES_2: sdR-b2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 307 1.1951845 -15.833194 0.32743672 2.0000000 72.480775 LOCATESKYLINES_2: sdR-b2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 0 308 0.22695882 -8.8338061 -0.033816923 1.5994264 75.124946 LOCATESKYLINES_2: sdR-b2-00034590.fit: comb1 l,chi^2/dof,fit: 0 0.87674929 0.019714623 -0.14944856 1.0478766 0.96374765 LOCATESKYLINES_2: sdR-b2-00034590.fit: kept 270 of 270 points LOCATESKYLINES_2: sdR-b2-00034590.fit: offset, refoff, sigma: -0.160590-0.1494490.039134 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 0 0.69804644 44.565458 -0.035621851 1.0495885 270.52103 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 6 1.2836493 48.232475 -0.087470618 1.1797577 215.08249 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 13 1.2224096 49.109631 -0.22028221 1.1734966 238.29169 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 18 1.3036115 54.991222 0.070632580 1.0982873 265.73313 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 26 3.0209360 47.153672 -0.17178457 0.98732530 306.48306 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 52 1.8463110 44.624653 0.024382065 1.1406923 230.71306 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 60 1.4193060 33.780678 -0.015404266 1.1106671 260.41853 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 63 1.2585078 41.625160 -0.012644922 1.0700826 265.92158 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 82 1.2423210 34.852484 -0.092181609 1.0555164 249.42927 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 84 2.1494024 14.215904 0.034871337 0.89833084 260.27487 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 109 2.1862558 8.0419609 -0.065543124 1.0501549 334.30005 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 114 1.8512584 25.687206 0.085365024 1.0036472 244.85260 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 131 0.43678584 34.886388 -0.044775745 1.0669789 279.56966 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 153 0.61614450 48.082082 -0.068983740 1.2074137 270.49925 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 176 0.64881399 48.159839 -0.17547908 1.0183166 242.58628 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 180 0.23949010 48.294512 -0.11383292 1.0249020 262.97088 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 184 1.2846466 47.687001 -0.15019974 1.1015903 281.62079 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 185 1.3615286 31.288686 -0.13980019 1.0287407 270.95057 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 186 1.0505312 44.155904 -0.10233978 1.1784301 230.20471 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 201 1.5464713 16.503680 -0.038248214 0.97239730 272.17058 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 204 0.99725019 35.952124 -0.12571640 1.1756154 232.25037 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 206 1.4626773 40.455587 0.20359509 1.0987006 269.58989 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 213 1.3895485 59.427710 -0.0036572873 1.0934684 286.23676 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 235 0.79528682 31.754801 -0.31693002 1.0289259 241.74725 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 257 2.0218422 22.470458 -0.032574027 1.2126518 248.99538 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 259 1.2715293 67.422093 -0.066099800 1.0393258 267.28229 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 260 0.73450637 44.929005 -0.13068181 1.0715891 267.36230 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 261 1.3850345 51.098769 0.060069087 1.0043175 246.39347 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 265 1.8951605 39.810720 -0.16671885 1.0619614 265.26037 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 271 0.79296023 29.477088 -0.12339683 1.1486100 225.19743 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 276 2.3995557 9.4658277 -0.019072445 1.3155075 233.93264 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 281 0.61979802 36.313271 -0.042228474 1.0074349 269.33288 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 284 0.43812409 35.872708 -0.13931534 1.1977230 247.87378 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 307 1.2202638 26.486794 -0.067409408 1.2300417 274.07813 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 1 308 2.1869258 14.504139 -0.21654027 1.3669065 272.41284 LOCATESKYLINES_2: sdR-b2-00034590.fit: comb1 l,chi^2/dof,fit: 1 1.0433814 0.0015765928 -0.078395874 1.0913255 0.99121022 LOCATESKYLINES_2: sdR-b2-00034590.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034590.fit: offset, refoff, sigma: -0.089537-0.0783960.015608 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 0 1.4572733 47.555057 0.028967402 1.1967942 290.25775 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 6 2.8571535 13.223189 0.14686214 1.1257712 321.22093 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 13 2.0551326 23.646176 0.19325084 0.98328357 342.70758 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 18 0.94079178 16.949928 -0.039549174 1.0991612 345.50181 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 26 1.4653191 104.89236 0.069483926 0.89512985 384.49044 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 52 0.64518488 33.131909 -0.033663638 1.1493382 332.28846 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 60 0.60012771 59.988881 0.11866414 0.99969408 334.42764 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 63 0.76780228 47.448998 -0.10357217 1.0353231 329.17547 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 82 3.4728985 95.912927 0.24969298 1.0855170 337.62680 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 84 0.79596464 49.530345 0.044358281 1.1219594 327.71580 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 109 1.2993048 48.987647 0.0039808508 1.0754269 335.90679 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 114 0.56277109 62.105999 0.012744010 1.0769106 330.55987 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 131 1.1240485 68.505944 0.13226330 0.94076469 377.26751 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 153 2.4061870 113.79710 0.11583411 0.94295814 357.57453 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 176 3.0084229 76.243082 -0.049701075 1.0266671 320.47447 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 180 1.1500541 47.976844 -0.10293827 1.1019200 350.93862 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 184 0.42339430 86.457342 -0.0033807280 1.0482179 300.59262 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 185 2.2927803 60.935378 0.047724894 1.0613306 301.59200 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 186 3.1827742 51.433418 0.17493223 1.1146859 353.16867 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 201 1.4118703 69.613171 -0.062953693 1.0037903 343.74037 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 204 1.7548909 74.449733 0.21549483 1.2078059 259.95768 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 206 1.5685364 68.101535 -0.033618214 1.3054704 289.99177 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 213 0.89851328 121.56551 0.028507130 1.1856766 287.86165 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 235 0.48531452 78.884110 0.042974140 1.0032074 317.29165 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 257 0.64360757 62.403648 0.024518824 1.0881388 313.70970 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 259 0.69267634 132.52395 -0.022760243 1.0757903 301.08608 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 260 1.6005964 64.635499 0.14392456 1.0150536 319.41944 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 261 1.4572722 72.437880 0.0090748367 1.0518877 341.18345 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 265 2.0890136 43.034608 0.23868951 1.1421650 313.34396 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 271 1.0695242 53.561846 0.041741842 0.98246801 365.61842 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 276 1.3543584 51.738080 0.14158623 0.98610136 341.14513 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 281 1.2413668 51.384553 -0.12230334 1.0378374 280.19691 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 284 1.4746722 62.258648 -0.082953950 0.98646970 289.32930 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 307 1.1627477 55.866848 0.10595977 0.96147293 298.57024 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 2 308 1.3394524 112.59366 0.046708034 1.1911315 240.55553 LOCATESKYLINES_2: sdR-b2-00034590.fit: comb1 l,chi^2/dof,fit: 2 1.1202066 0.00047869749 0.043678244 1.0645782 0.98975617 LOCATESKYLINES_2: sdR-b2-00034590.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034590.fit: offset, refoff, sigma: 0.0325370.0436780.014680 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 0 6.8199906 65.206918 0.064767676 0.89188728 4212.6084 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 6 18.921870 -13.337195 0.047476521 0.91104527 3947.3619 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 13 6.2791860 32.614403 0.027972186 0.88934949 4192.1527 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 18 9.1257563 15.373697 0.039074657 0.89692913 4138.1110 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 26 5.1711964 70.821456 0.021705872 0.89526706 4273.7644 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 52 22.536287 41.117519 0.028971424 0.89328734 4026.8844 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 60 5.1700739 47.755225 0.070432197 0.88064525 4289.1451 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 63 5.1696303 31.332030 0.074240218 0.90572160 4305.0027 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 82 10.208020 82.699352 0.079220136 0.90224943 4122.1878 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 84 11.690429 19.831005 0.057891109 0.90374884 4128.0430 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 109 12.229551 33.477704 0.064733708 0.90212438 4172.2035 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 114 2.1708539 49.303089 0.081450982 0.86682525 4227.2643 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 131 3.5202364 61.784521 0.078946040 0.86743988 4194.6054 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 153 13.575220 92.792015 0.061686176 0.88543556 4246.3341 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 176 15.825779 50.003878 0.051033129 0.88240854 4194.6192 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 180 11.873311 54.749867 0.062379093 0.86273217 4284.4707 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 184 8.4165293 57.650077 0.057612233 0.89014037 4132.1029 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 185 12.336391 31.719237 0.056080515 0.90351231 4036.0677 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 186 10.488492 39.757972 0.066306758 0.90458170 4053.6770 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 201 10.976069 55.689837 0.070012136 0.89028626 4211.8761 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 204 12.924974 67.530842 0.065204558 0.91412946 4110.0037 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 206 11.752525 73.734844 0.036405636 0.90901590 4107.6243 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 213 14.392247 91.535547 0.068325271 0.88173415 4183.4185 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 235 7.1173373 51.548246 0.022300607 0.89330011 4095.4939 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 257 8.6618499 49.224802 0.047673363 0.87987513 4217.9921 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 259 16.854577 127.13609 0.032520000 0.87722662 4121.7586 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 260 11.275612 40.376619 0.039712979 0.90283123 4075.7967 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 261 7.1475947 44.201598 0.057668561 0.89709956 4214.7103 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 265 2.5952997 50.542322 0.035330719 0.87537263 4323.3267 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 271 8.4202222 49.211336 0.047875856 0.87291134 4217.5083 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 276 4.8696824 63.744167 0.039906786 0.89069071 4206.1402 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 281 16.750559 36.719458 0.053762052 0.89506499 4188.6255 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 284 2.1077418 55.094039 0.035376221 0.90059430 3997.4309 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 307 0.35300851 69.898278 0.050741944 0.86520642 4211.4217 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 3 308 3.4060056 125.13688 0.050936182 0.88809982 4163.1727 LOCATESKYLINES_2: sdR-b2-00034590.fit: comb1 l,chi^2/dof,fit: 3 5.8714778 -5.3147416e-06 0.053178260 0.88973514 0.99940370 LOCATESKYLINES_2: sdR-b2-00034590.fit: sigma-clipped to 282 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034590.fit: comb2 l,chi^2/dof,fit: 3 3.2186369 0.0013194379 0.053722796 0.88797637 0.98915825 LOCATESKYLINES_2: sdR-b2-00034590.fit: kept 282 of 315 points LOCATESKYLINES_2: sdR-b2-00034590.fit: offset, refoff, sigma: 0.0425820.0537230.002342 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 0 38.331899 101.46651 0.088725101 0.88246764 665.95692 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 6 6.4718529 35.948772 0.098431773 0.85493949 612.93175 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 13 23.168658 54.550616 0.21072537 0.83834315 587.78083 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 18 11.159261 98.770954 -0.094914694 0.84116193 704.23062 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 26 35.222132 165.58040 0.10975202 0.72309027 683.00243 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 52 9.0047905 62.594567 -0.031543663 0.85706932 664.42380 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 60 13.871601 93.796293 0.13380506 0.83187572 731.01093 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 63 35.439615 128.27097 0.13345001 0.79243756 595.57834 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 82 25.801369 162.79552 0.11293396 0.72702189 601.94455 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 84 24.292195 163.49585 0.18763846 0.73716847 577.67061 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 109 34.918808 153.36196 0.15948498 0.67829119 628.22376 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 114 24.275519 97.763769 0.16740665 0.81703883 673.47666 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 131 21.737029 123.54671 0.070667305 0.79902429 656.47657 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 153 25.362291 113.43302 0.11979555 0.83117233 640.84106 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 176 31.711502 97.820798 0.13853199 0.90066422 650.16981 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 180 34.097469 114.61272 0.072432888 0.80750365 671.16195 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 184 35.070080 113.53857 0.13369843 0.87744079 584.22436 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 185 30.992400 108.61310 0.13116053 0.82005013 652.87113 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 186 40.150854 111.85492 0.11892996 0.87711652 592.96452 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 201 12.670983 76.958891 0.15518881 0.87331850 687.06156 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 204 12.158776 62.051883 0.096661749 0.88342136 655.13888 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 206 13.546118 71.375287 0.066520286 0.97226272 597.00563 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 213 16.258874 119.20945 0.12128399 0.88154458 634.54327 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 235 13.388900 107.00152 0.14355546 0.87507332 658.15531 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 257 28.881649 106.56797 0.034939224 0.83030757 625.21764 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 259 29.794746 128.64113 0.067853331 0.83946430 689.90945 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 260 28.671994 127.99643 0.11033294 0.79186718 644.70325 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 261 30.910339 143.50194 0.15288972 0.78212693 639.60914 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 265 12.505775 80.259478 0.13378509 0.85093426 691.11071 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 271 22.257380 108.72977 0.026102993 0.81726839 593.92718 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 276 26.527098 106.76685 0.074172171 0.80146066 579.04983 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 281 13.346678 105.41789 0.011836564 0.86932429 594.15167 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 284 29.145814 132.59552 0.084969156 0.86993498 582.55455 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 307 15.071701 89.039478 0.067835545 0.85144634 670.27883 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 4 308 15.523880 112.53501 0.10431813 0.84452432 657.61794 LOCATESKYLINES_2: sdR-b2-00034590.fit: comb1 l,chi^2/dof,fit: 4 13.745785 0.00042525992 0.095949127 0.83697163 0.99266457 LOCATESKYLINES_2: sdR-b2-00034590.fit: sigma-clipped to 274 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034590.fit: comb2 l,chi^2/dof,fit: 4 2.3125057 -0.057831432 0.10178017 0.91040890 1.0286611 LOCATESKYLINES_2: sdR-b2-00034590.fit: kept 274 of 315 points LOCATESKYLINES_2: sdR-b2-00034590.fit: offset, refoff, sigma: 0.0906390.1017800.007219 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 0 33.843813 87.162780 0.087319560 0.82620446 408.15910 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 6 39.444748 88.096547 -0.13339062 0.63955588 414.44750 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 13 15.157980 49.891971 0.16750381 0.78072330 341.13398 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 18 65.415366 142.19984 -0.0038767458 0.73405388 371.98633 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 26 67.389783 151.24656 0.12465996 0.68615770 394.87702 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 52 62.938766 86.643254 -0.072992903 0.69954984 403.89746 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 60 60.584176 136.61211 0.15033228 0.74327731 384.68744 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 63 14.649195 76.107335 0.14261304 0.75258012 464.11302 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 82 53.183168 152.63040 0.057902789 0.67969502 374.25789 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 84 10.731578 109.93402 0.072561885 0.86242881 416.19197 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 109 64.731743 125.21727 0.13974175 0.65836866 400.04874 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 114 18.606058 69.961438 -0.047543191 0.80548424 387.90424 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 131 28.996222 78.789279 0.21692584 0.76762580 390.09826 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 153 51.077468 105.65105 0.15383996 0.81187744 419.93495 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 176 55.228297 114.89165 0.085393462 0.78252696 388.36270 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 180 50.140209 107.67752 0.16946629 0.81172218 376.30889 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 184 38.140764 103.45556 0.095646467 0.83567719 386.58509 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 185 41.350373 76.130317 0.051477162 0.87262903 387.46452 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 186 37.286119 100.05148 0.14396381 0.76009224 437.34830 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 201 54.446467 126.41886 0.065923539 0.70741792 382.38758 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 204 58.040759 96.246529 0.0039567916 0.73585726 429.58672 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 206 49.213409 120.36006 0.021156308 0.77949743 345.98360 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 213 47.050749 133.04262 0.068358997 0.75050469 405.21913 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 235 65.013085 120.37021 -0.019666427 0.79662154 406.12652 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 257 47.030751 111.08255 0.11129101 0.78189724 411.03547 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 259 39.238837 135.68589 0.060664022 0.82848125 349.12629 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 260 18.077788 105.90525 0.11455521 0.90263161 378.19626 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 261 17.611517 91.140414 0.15299281 0.80528252 420.89460 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 265 62.575792 123.80946 0.059789425 0.71752323 391.36036 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 271 34.040294 100.70088 0.093401001 0.72814822 399.69432 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 276 25.255690 73.778746 0.063740811 0.90487954 397.10990 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 281 48.156464 111.73373 -0.025509016 0.81869320 357.89928 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 284 38.902593 97.522215 0.14234056 0.84109534 428.83012 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 307 48.587535 121.03094 0.047954541 0.74261046 416.49435 LOCATESKYLINES_2: sdR-b2-00034590.fit: l,f,chi^2/dof,c: 5 308 35.913791 142.87366 0.061083258 0.78398656 328.65984 LOCATESKYLINES_2: sdR-b2-00034590.fit: comb1 l,chi^2/dof,fit: 5 24.496180 -0.0025275628 0.085332985 0.80000000 0.97996872 LOCATESKYLINES_2: sdR-b2-00034590.fit: sigma-clipped to 272 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034590.fit: comb2 l,chi^2/dof,fit: 5 1.9128486 -0.11155530 0.088396597 0.89480505 1.0781237 LOCATESKYLINES_2: sdR-b2-00034590.fit: kept 272 of 315 points LOCATESKYLINES_2: sdR-b2-00034590.fit: offset, refoff, sigma: 0.0772560.0883970.009886 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 5224.1741 DOF = 1861 P(0) = 4.48713 P(1) = 0.00000 P(2) = 4.48713 P(3) = 4.48713 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 5134.8347 DOF = 1861 P(0) = 5.73554 P(1) = 0.000198708 P(2) = 12.5276 P(3) = 85.1970 P(4) = 0.000130000 P(5) = 0.205468 Iter 3 CHI-SQUARE = 4332.1662 DOF = 1861 P(0) = 6.41033 P(1) = 0.000133482 P(2) = 4.39953 P(3) = 59.9372 P(4) = 0.000130000 P(5) = 0.231609 Iter 4 CHI-SQUARE = 3865.3210 DOF = 1861 P(0) = 6.12331 P(1) = -4.04053E-06 P(2) = 6.46320 P(3) = 66.0426 P(4) = 0.000130000 P(5) = 0.146815 Iter 5 CHI-SQUARE = 3808.1253 DOF = 1861 P(0) = 5.73582 P(1) = 1.61472E-05 P(2) = 10.6748 P(3) = 83.7966 P(4) = 0.000130000 P(5) = 0.109918 Iter 6 CHI-SQUARE = 3791.4501 DOF = 1861 P(0) = 5.89865 P(1) = 7.92058E-06 P(2) = 12.9169 P(3) = 84.3751 P(4) = 0.000130000 P(5) = 0.178719 Iter 7 CHI-SQUARE = 3790.1371 DOF = 1861 P(0) = 5.79988 P(1) = 7.59932E-06 P(2) = 13.0947 P(3) = 84.4442 P(4) = 0.000130000 P(5) = 0.201765 Iter 8 CHI-SQUARE = 3790.1060 DOF = 1861 P(0) = 5.83021 P(1) = 7.85732E-06 P(2) = 13.0747 P(3) = 84.4532 P(4) = 0.000130000 P(5) = 0.202362 Iter 9 CHI-SQUARE = 3790.0537 DOF = 1861 P(0) = 5.79779 P(1) = 8.08658E-06 P(2) = 12.9582 P(3) = 84.4199 P(4) = 0.000130000 P(5) = 0.203532 Iter 10 CHI-SQUARE = 3790.0224 DOF = 1861 P(0) = 5.78009 P(1) = 8.35614E-06 P(2) = 12.8302 P(3) = 84.4027 P(4) = 0.000130000 P(5) = 0.204295 Iter 11 CHI-SQUARE = 3790.0127 DOF = 1861 P(0) = 5.77629 P(1) = 8.42370E-06 P(2) = 12.7645 P(3) = 84.3909 P(4) = 0.000130000 P(5) = 0.206486 Iter 12 CHI-SQUARE = 3789.9980 DOF = 1861 P(0) = 5.79026 P(1) = 8.67380E-06 P(2) = 12.6848 P(3) = 84.3754 P(4) = 0.000130000 P(5) = 0.207156 Iter 13 CHI-SQUARE = 3789.9911 DOF = 1861 P(0) = 5.80370 P(1) = 8.82900E-06 P(2) = 12.6601 P(3) = 84.3795 P(4) = 0.000130000 P(5) = 0.205126 Iter 14 CHI-SQUARE = 3789.9872 DOF = 1861 P(0) = 5.80350 P(1) = 9.01180E-06 P(2) = 12.5965 P(3) = 84.3679 P(4) = 0.000130000 P(5) = 0.204537 Iter 15 CHI-SQUARE = 3789.9815 DOF = 1861 P(0) = 5.79869 P(1) = 9.07822E-06 P(2) = 12.5412 P(3) = 84.3523 P(4) = 0.000130000 P(5) = 0.205846 Iter 16 CHI-SQUARE = 3789.9792 DOF = 1861 P(0) = 5.79617 P(1) = 9.25357E-06 P(2) = 12.4683 P(3) = 84.3399 P(4) = 0.000130000 P(5) = 0.205774 Iter 17 CHI-SQUARE = 3789.9790 DOF = 1861 P(0) = 5.78801 P(1) = 9.32274E-06 P(2) = 12.4344 P(3) = 84.3342 P(4) = 0.000130000 P(5) = 0.205723 Iter 18 CHI-SQUARE = 3789.9790 DOF = 1861 P(0) = 5.79056 P(1) = 9.33839E-06 P(2) = 12.4330 P(3) = 84.3359 P(4) = 0.000130000 P(5) = 0.205773 Iter 19 CHI-SQUARE = 3789.9790 DOF = 1861 P(0) = 5.79050 P(1) = 9.32996E-06 P(2) = 12.4328 P(3) = 84.3357 P(4) = 0.000130000 P(5) = 0.205770 Iter 20 CHI-SQUARE = 3789.9790 DOF = 1861 P(0) = 5.79060 P(1) = 9.32593E-06 P(2) = 12.4329 P(3) = 84.3357 P(4) = 0.000130000 P(5) = 0.205780 Iter 20 CHI-SQUARE = 3789.9790 DOF = 1861 P(0) = 5.79060 P(1) = 9.32593E-06 P(2) = 12.4329 P(3) = 84.3357 P(4) = 0.000130000 P(5) = 0.205780 FITMOONPLUSLINE: sdR-b2-00034590.fit: fit coeffs: 5.7906030 9.3259332e-06 12.432866 84.335668 0.00013000000 0.20578017 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034590.fit: changing 4046.58 correction from -0.160590 to -0.084305426 pixels, err= 0.052593121 Iter 1 CHI-SQUARE = 15461.127 DOF = 3853 P(0) = 20.2989 P(1) = 0.00000 P(2) = 20.2989 P(3) = 20.2989 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 6322.6720 DOF = 3853 P(0) = 32.9781 P(1) = 4.52399E-05 P(2) = 12.2370 P(3) = 248.324 P(4) = 0.000130000 P(5) = 0.0113167 Iter 3 CHI-SQUARE = 5971.3264 DOF = 3853 P(0) = 33.1092 P(1) = 9.08493E-06 P(2) = 12.8464 P(3) = 244.827 P(4) = 0.000130000 P(5) = 0.0186993 Iter 4 CHI-SQUARE = 5967.9937 DOF = 3853 P(0) = 32.9419 P(1) = 1.04509E-05 P(2) = 12.2905 P(3) = 248.875 P(4) = 0.000130000 P(5) = 0.0113640 Iter 5 CHI-SQUARE = 5967.9818 DOF = 3853 P(0) = 32.9649 P(1) = 1.03191E-05 P(2) = 12.3159 P(3) = 248.880 P(4) = 0.000130000 P(5) = 0.0110544 Iter 6 CHI-SQUARE = 5967.9816 DOF = 3853 P(0) = 32.9660 P(1) = 1.03497E-05 P(2) = 12.3182 P(3) = 248.880 P(4) = 0.000130000 P(5) = 0.0110160 Iter 6 CHI-SQUARE = 5967.9816 DOF = 3853 P(0) = 32.9660 P(1) = 1.03497E-05 P(2) = 12.3182 P(3) = 248.880 P(4) = 0.000130000 P(5) = 0.0110160 FITMOONPLUSLINE: sdR-b2-00034590.fit: fit coeffs: 32.965973 1.0349708e-05 12.318200 248.87979 0.00013000000 0.011015985 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034590.fit: changing 4358.33 correction from -0.0895369 to -0.095406378 pixels, err= 0.018923403 Iter 1 CHI-SQUARE = 10884.992 DOF = 1289 P(0) = 45.1869 P(1) = 0.00000 P(2) = 45.1869 P(3) = 45.1869 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 2866.5577 DOF = 1289 P(0) = 64.2998 P(1) = 2.61782E-05 P(2) = 90.6300 P(3) = 273.857 P(4) = 0.000130000 P(5) = 0.566069 Iter 3 CHI-SQUARE = 2817.5030 DOF = 1289 P(0) = 59.2185 P(1) = -1.89096E-06 P(2) = 97.8038 P(3) = 270.334 P(4) = 0.000130000 P(5) = 1.03501 Iter 4 CHI-SQUARE = 2690.4526 DOF = 1289 P(0) = 61.4286 P(1) = -1.68907E-06 P(2) = 78.0601 P(3) = 274.864 P(4) = 0.000130000 P(5) = 0.719244 Iter 5 CHI-SQUARE = 2673.9837 DOF = 1289 P(0) = 62.3448 P(1) = -1.62627E-06 P(2) = 73.5630 P(3) = 275.985 P(4) = 0.000130000 P(5) = 0.651786 Iter 6 CHI-SQUARE = 2665.2857 DOF = 1289 P(0) = 64.8405 P(1) = -1.50905E-06 P(2) = 71.5115 P(3) = 275.674 P(4) = 0.000130000 P(5) = 0.572719 Iter 7 CHI-SQUARE = 2664.4007 DOF = 1289 P(0) = 63.4500 P(1) = -9.32589E-07 P(2) = 72.0588 P(3) = 275.430 P(4) = 0.000130000 P(5) = 0.592173 Iter 8 CHI-SQUARE = 2663.6940 DOF = 1289 P(0) = 63.6525 P(1) = -9.04649E-07 P(2) = 72.8491 P(3) = 275.478 P(4) = 0.000130000 P(5) = 0.572119 Iter 9 CHI-SQUARE = 2663.0897 DOF = 1289 P(0) = 63.9454 P(1) = -8.74219E-07 P(2) = 73.3689 P(3) = 275.438 P(4) = 0.000130000 P(5) = 0.575570 Iter 10 CHI-SQUARE = 2662.9649 DOF = 1289 P(0) = 64.1752 P(1) = -8.43309E-07 P(2) = 73.6922 P(3) = 275.461 P(4) = 0.000130000 P(5) = 0.564389 Iter 11 CHI-SQUARE = 2662.9133 DOF = 1289 P(0) = 64.2540 P(1) = -8.32110E-07 P(2) = 73.8612 P(3) = 275.431 P(4) = 0.000130000 P(5) = 0.572258 Iter 12 CHI-SQUARE = 2662.8920 DOF = 1289 P(0) = 64.1507 P(1) = -8.28774E-07 P(2) = 73.8887 P(3) = 275.367 P(4) = 0.000130000 P(5) = 0.573810 Iter 13 CHI-SQUARE = 2662.8798 DOF = 1289 P(0) = 64.1742 P(1) = -8.22740E-07 P(2) = 73.8908 P(3) = 275.400 P(4) = 0.000130000 P(5) = 0.574401 Iter 14 CHI-SQUARE = 2662.8778 DOF = 1289 P(0) = 64.1527 P(1) = -8.20638E-07 P(2) = 73.9006 P(3) = 275.384 P(4) = 0.000130000 P(5) = 0.574536 Iter 15 CHI-SQUARE = 2662.8732 DOF = 1289 P(0) = 64.1809 P(1) = -8.18667E-07 P(2) = 73.9053 P(3) = 275.408 P(4) = 0.000130000 P(5) = 0.575021 Iter 16 CHI-SQUARE = 2662.8723 DOF = 1289 P(0) = 64.1822 P(1) = -8.18130E-07 P(2) = 73.9257 P(3) = 275.398 P(4) = 0.000130000 P(5) = 0.575270 Iter 17 CHI-SQUARE = 2662.8704 DOF = 1289 P(0) = 64.1818 P(1) = -8.16915E-07 P(2) = 73.9281 P(3) = 275.398 P(4) = 0.000130000 P(5) = 0.575160 Iter 18 CHI-SQUARE = 2662.8687 DOF = 1289 P(0) = 64.1842 P(1) = -8.15755E-07 P(2) = 73.9319 P(3) = 275.400 P(4) = 0.000130000 P(5) = 0.575166 Iter 19 CHI-SQUARE = 2662.8667 DOF = 1289 P(0) = 64.1839 P(1) = -8.14507E-07 P(2) = 73.9368 P(3) = 275.398 P(4) = 0.000130000 P(5) = 0.575134 Iter 20 CHI-SQUARE = 2662.8654 DOF = 1289 P(0) = 64.1668 P(1) = -8.13735E-07 P(2) = 73.9345 P(3) = 275.394 P(4) = 0.000130000 P(5) = 0.575269 Iter 21 CHI-SQUARE = 2662.8615 DOF = 1289 P(0) = 64.1735 P(1) = -8.11356E-07 P(2) = 73.9374 P(3) = 275.400 P(4) = 0.000130000 P(5) = 0.575021 Iter 21 CHI-SQUARE = 2662.8615 DOF = 1289 P(0) = 64.1735 P(1) = -8.11356E-07 P(2) = 73.9374 P(3) = 275.400 P(4) = 0.000130000 P(5) = 0.575021 FITMOONPLUSLINE: sdR-b2-00034590.fit: fit coeffs: 64.173534 -8.1135586e-07 73.937384 275.40048 0.00013000000 0.57502054 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034590.fit: changing 5460.94 correction from 0.0325372 to 0.0083728716 pixels, err= 0.014650292 LOCATESKYLINES_2: sdR-b2-00034590.fit: applying -0.01 pixel correction to 0.09 0.08 0.62 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 FITMEANX: sdR-b2-00034590.fit: In skyline number 0 std-dev is 0.19748013 pix FITMEANX: sdR-b2-00034590.fit: In skyline number 1 std-dev is 0.053763461 pix FITMEANX: sdR-b2-00034590.fit: In skyline number 2 std-dev is 0.071975481 pix FITMEANX: sdR-b2-00034590.fit: In skyline number 3 std-dev is 0.018014036 pix FITMEANX: sdR-b2-00034590.fit: In skyline number 4 std-dev is 0.050310848 pix FITMEANX: sdR-b2-00034590.fit: In skyline number 5 std-dev is 0.059448711 pix LOCATESKYLINES_2: sdR-b2-00034590.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034590.fit: In sky feature at 4046.5600 coadded std-dev is 0.0525931 pix LOCATESKYLINES_2: sdR-b2-00034590.fit: In sky feature at 4358.3300 coadded std-dev is 0.0189234 pix LOCATESKYLINES_2: sdR-b2-00034590.fit: In sky feature at 5460.9400 coadded std-dev is 0.0146503 pix LOCATESKYLINES_2: sdR-b2-00034590.fit: In sky feature at 5577.3390 coadded std-dev is 0.00234218 pix LOCATESKYLINES_2: sdR-b2-00034590.fit: In sky feature at 5889.9500 coadded std-dev is 0.00721910 pix LOCATESKYLINES_2: sdR-b2-00034590.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034590.fit: Median arc shift = -0.013214606 pix LOCATESKYLINES_2: sdR-b2-00034590.fit: Dispersion in arc shift = 0.080473808 pix LOCATESKYLINES_2: sdR-b2-00034590.fit: Maximum sky-line shift is 0.14017401 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Number of sky fibers = 32 ROW NITER SIG(med) CHI^2 .0000 1 0.85 0.11 .0001 2 0.85 0.84 .0002 6 0.85 0.70 .0003 1 0.85 0.53 .0004 8 0.85 0.56 .0005 9 0.85 0.75 .0006 1 0.85 0.11 .0007 8 0.85 0.81 .0008 1 0.85 0.60 .0009 4 0.85 1.09 .0010 2 0.85 0.70 .0011 9 0.85 0.53 .0012 9 0.85 0.49 .0013 1 0.85 0.08 .0014 4 0.85 1.27 .0015 2 0.85 0.95 .0016 9 0.85 0.50 .0017 7 0.85 0.94 .0018 1 0.85 0.09 .0019 1 0.85 0.40 .0020 4 0.83 1.09 .0021 1 0.83 0.21 .0022 12 0.83 0.51 .0023 9 0.83 0.62 .0024 3 0.83 0.70 .0025 1 0.83 0.69 .0026 1 0.83 0.10 .0027 10 0.83 0.53 .0028 1 0.83 0.81 .0029 3 0.83 0.83 .0030 1 0.83 0.48 .0031 3 0.83 0.79 .0032 9 0.83 0.43 .0033 2 0.83 1.11 .0034 10 0.83 0.42 .0035 5 0.83 0.93 .0036 1 0.83 0.84 .0037 3 0.83 0.84 .0038 2 0.83 0.82 .0039 2 0.83 0.71 .0040 10 0.83 0.54 .0041 3 0.83 0.88 .0042 3 0.83 0.53 .0043 1 0.83 0.76 .0044 1 0.83 0.64 .0045 8 0.83 0.54 .0046 9 0.83 0.60 .0047 4 0.83 0.70 .0048 1 0.83 0.58 .0049 2 0.83 0.62 .0050 2 0.83 0.76 .0051 10 0.83 0.54 .0052 1 0.83 0.11 .0053 2 0.83 0.85 .0054 10 0.83 0.66 .0055 9 0.83 0.47 .0056 2 0.83 0.94 .0057 2 0.83 1.08 .0058 3 0.83 0.97 .0059 1 0.83 0.61 .0060 1 0.82 0.10 .0061 3 0.82 0.81 .0062 5 0.82 0.92 .0063 1 0.82 0.09 .0064 12 0.82 0.55 .0065 2 0.82 0.87 .0066 3 0.82 0.83 .0067 5 0.82 0.89 .0068 2 0.82 0.71 .0069 10 0.82 0.46 .0070 9 0.82 0.53 .0071 1 0.82 0.51 .0072 2 0.82 0.82 .0073 1 0.82 0.63 .0074 1 0.82 0.52 .0075 2 0.82 0.64 .0076 10 0.82 0.65 .0077 5 0.82 0.76 .0078 9 0.82 0.61 .0079 1 0.82 0.55 .0080 9 0.82 0.91 .0081 3 0.82 0.73 .0082 1 0.82 0.11 .0083 3 0.82 1.02 .0084 1 0.82 0.10 .0085 1 0.82 0.65 .0086 10 0.82 0.65 .0087 3 0.82 1.07 .0088 5 0.82 0.84 .0089 3 0.82 0.73 .0090 3 0.82 0.89 .0091 2 0.82 0.55 .0092 3 0.82 0.86 .0093 7 0.82 0.76 .0094 1 0.82 0.77 .0095 3 0.82 0.97 .0096 5 0.82 1.13 .0097 9 0.82 0.61 .0098 4 0.82 0.97 .0099 3 0.82 0.74 .0100 2 0.82 0.82 .0101 8 0.82 0.48 .0102 11 0.82 0.54 .0103 1 0.82 0.70 .0104 2 0.82 0.79 .0105 10 0.82 0.57 .0106 1 0.82 0.70 .0107 8 0.82 0.64 .0108 1 0.82 0.73 .0109 1 0.82 0.13 .0110 1 0.82 0.53 .0111 2 0.82 0.82 .0112 9 0.82 0.46 .0113 1 0.82 0.76 .0114 1 0.82 0.08 .0115 4 0.82 0.74 .0116 3 0.82 0.92 .0117 9 0.82 0.52 .0118 1 0.82 0.56 .0119 3 0.82 0.75 .0120 3 0.80 0.81 .0121 3 0.80 0.48 .0122 9 0.80 0.57 .0123 4 0.80 0.97 .0124 1 0.80 0.78 .0125 2 0.80 0.77 .0126 2 0.80 0.74 .0127 4 0.80 0.75 .0128 11 0.80 0.48 .0129 3 0.80 0.93 .0130 9 0.80 0.99 .0131 1 0.80 0.09 .0132 6 0.80 0.73 .0133 3 0.80 1.17 .0134 4 0.80 1.03 .0135 4 0.80 0.78 .0136 1 0.80 0.40 .0137 5 0.80 0.70 .0138 3 0.80 0.87 .0139 9 0.80 0.76 .0140 1 0.82 0.64 .0141 9 0.82 1.05 .0142 10 0.82 0.63 .0143 1 0.82 0.68 .0144 2 0.82 1.17 .0145 1 0.82 0.81 .0146 2 0.82 0.79 .0147 4 0.82 0.67 .0148 3 0.82 0.94 .0149 9 0.82 0.56 .0150 4 0.82 0.87 .0151 7 0.82 0.79 .0152 2 0.82 0.72 .0153 1 0.82 0.11 .0154 9 0.82 0.53 .0155 11 0.82 0.57 .0156 3 0.82 0.72 .0157 12 0.82 0.46 .0158 1 0.82 0.76 .0159 2 0.82 1.04 .0160 2 0.81 0.77 .0161 4 0.81 0.94 .0162 2 0.81 0.97 .0163 2 0.81 0.77 .0164 4 0.81 0.88 .0165 1 0.81 0.13 .0166 1 0.81 0.49 .0167 2 0.81 0.77 .0168 4 0.81 0.91 .0169 3 0.81 1.14 .0170 5 0.81 0.80 .0171 1 0.81 0.70 .0172 1 0.81 0.12 .0173 2 0.81 0.83 .0174 1 0.81 0.14 .0175 2 0.81 0.70 .0176 1 0.81 0.12 .0177 2 0.81 0.97 .0178 1 0.81 0.16 .0179 2 0.81 0.40 .0180 1 0.82 0.11 .0181 1 0.82 0.52 .0182 1 0.82 0.12 .0183 1 0.82 1.11 .0184 1 0.82 0.12 .0185 1 0.82 0.11 .0186 1 0.82 0.12 .0187 1 0.82 0.09 .0188 2 0.82 1.03 .0189 3 0.82 1.12 .0190 1 0.82 0.16 .0191 1 0.82 0.14 .0192 1 0.82 0.09 .0193 3 0.82 0.25 .0194 1 0.82 0.13 .0195 1 0.82 0.10 .0196 1 0.82 0.20 .0197 2 0.82 1.38 .0198 1 0.82 0.12 .0199 1 0.82 0.10 .0200 3 0.82 0.79 .0201 1 0.82 0.10 .0202 9 0.82 0.56 .0203 2 0.82 0.76 .0204 1 0.82 0.11 .0205 12 0.82 0.56 .0206 1 0.82 0.09 .0207 9 0.82 0.88 .0208 5 0.82 0.69 .0209 11 0.82 0.88 .0210 2 0.82 1.13 .0211 4 0.82 1.03 .0212 2 0.82 1.06 .0213 1 0.82 0.11 .0214 2 0.82 0.76 .0215 9 0.82 0.87 .0216 12 0.82 0.54 .0217 10 0.82 0.56 .0218 1 0.82 0.56 .0219 1 0.82 0.73 .0220 3 0.81 0.97 .0221 4 0.81 0.98 .0222 4 0.81 0.76 .0223 12 0.81 0.55 .0224 2 0.81 0.88 .0225 2 0.81 0.80 .0226 5 0.81 1.16 .0227 1 0.81 0.38 .0228 10 0.81 0.73 .0229 4 0.81 0.87 .0230 2 0.81 0.74 .0231 4 0.81 0.96 .0232 1 0.81 0.14 .0233 4 0.81 0.80 .0234 3 0.81 0.84 .0235 1 0.81 0.09 .0236 2 0.81 0.99 .0237 3 0.81 0.99 .0238 11 0.81 0.48 .0239 1 0.81 0.11 .0240 10 0.82 0.51 .0241 0 0.82 0.00 .0242 8 0.82 0.58 .0243 2 0.82 1.74 .0244 4 0.82 1.14 .0245 3 0.82 1.05 .0246 2 0.82 0.81 .0247 3 0.82 1.25 .0248 4 0.82 0.94 .0249 2 0.82 0.93 .0250 2 0.82 0.89 .0251 4 0.82 1.21 .0252 2 0.82 0.88 .0253 2 0.82 0.82 .0254 1 0.82 0.28 .0255 6 0.82 0.95 .0256 2 0.82 0.70 .0257 1 0.82 0.08 .0258 3 0.82 0.75 .0259 1 0.82 0.10 .0260 1 0.81 0.09 .0261 1 0.81 0.09 .0262 7 0.81 0.77 .0263 0 0.81 0.00 .0264 5 0.81 0.88 .0265 1 0.81 0.09 .0266 3 0.81 0.87 .0267 3 0.81 0.76 .0268 3 0.81 1.14 .0269 4 0.81 0.99 .0270 3 0.81 0.94 .0271 1 0.81 0.07 .0272 3 0.81 0.89 .0273 5 0.81 1.60 .0274 3 0.81 0.83 .0275 9 0.81 0.60 .0276 1 0.81 0.09 .0277 3 0.81 1.24 .0278 4 0.81 1.84 .0279 8 0.81 1.12 .0280 3 0.82 0.72 .0281 1 0.82 0.10 .0282 4 0.82 0.80 .0283 2 0.82 0.88 .0284 1 0.82 0.08 .0285 5 0.82 0.75 .0286 2 0.82 0.82 .0287 1 0.82 0.66 .0288 3 0.82 0.80 .0289 3 0.82 0.81 .0290 6 0.82 0.96 .0291 6 0.82 0.92 .0292 0 0.82 0.00 .0293 5 0.82 0.90 .0294 2 0.82 0.72 .0295 1 0.82 0.70 .0296 4 0.82 0.79 .0297 3 0.82 1.02 .0298 10 0.82 0.63 .0299 3 0.82 0.97 .0300 2 0.83 0.95 .0301 8 0.83 0.92 .0302 4 0.83 0.77 .0303 10 0.83 0.49 .0304 6 0.83 1.04 .0305 2 0.83 0.73 .0306 3 0.83 0.75 .0307 1 0.83 0.09 .0308 1 0.83 0.08 .0309 3 0.83 0.85 .0310 3 0.83 0.89 .0311 0 0.83 0.00 .0312 9 0.83 0.76 .0313 6 0.83 0.74 .0314 3 0.83 0.92 .0315 5 0.83 1.26 .0316 8 0.83 1.18 .0317 4 0.83 0.89 .0318 4 0.83 0.92 .0319 5 0.83 1.06 EXTRACT_IMAGE: sdR-b2-00034590.fit: masked 1353 pixels SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 0 median sigma(arc)= 0.84861669 sigma(sky)= -556.51526 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 0 sigma^2(add)= 309708.66 +/- 1968721.8 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 1 median sigma(arc)= 0.84818058 sigma(sky)= -1232.2809 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 1 sigma^2(add)= 1519246.5 +/- 3911498.4 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 2 median sigma(arc)= 0.83068392 sigma(sky)= 0.98209126 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 2 sigma^2(add)= 0.27769768 +/- 0.18119265 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 3 median sigma(arc)= 0.82688676 sigma(sky)= 0.38333593 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 3 sigma^2(add)= 0.26330959 +/- 616846.63 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 4 median sigma(arc)= 0.87254456 sigma(sky)= 1.2272776 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 4 sigma^2(add)= 0.74487272 +/- 1.0958434 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 5 median sigma(arc)= 0.91749271 sigma(sky)= -2.5876952 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Line # 5 sigma^2(add)= 11475.817 +/- 82090.989 SKYLINE_DISPERSION: sdR-b2-00034590.fit: Flexure sigma^2(add) = 0.14742109 +/- 0.17919008 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034590.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034590.fit: Heliocentric correction = 23.191335 km/s FITVACSET: sdR-b2-00034590.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034590.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034590.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034590.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034590.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034590.fit: Airmass range = 1.34525 1.40708 SKYSUBTRACT: sdR-b2-00034590.fit: Discarding 0.00460815 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 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of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 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1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034590.fit: Median sky-residual chi2 = 1.47643 SKYSUBTRACT: sdR-b2-00034590.fit: Max sky-residual chi2 = 10.2882 QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 7 = -24.5963 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 14 = -24.9667 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 27 = 15.2983 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 53 = -15.9105 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 64 = -10.8611 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 85 = -13.8164 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 110 = -13.7132 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 115 = -15.7098 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 154 = 19.8161 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 177 = 10.6386 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 185 = 21.6615 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 202 = -10.1255 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 277 = -14.5876 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 309 = 23.7640 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Median sky-residual chi = 1.23702 QAPLOT_SKYSUB: sdR-b2-00034590.fit: Max sky-residual chi = 4.13374 at 6162.0373 Ang SKYSUBTRACT: sdR-b2-00034590.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034590.fit: Airmass range = 1.34525 1.40708 SKYSUBTRACT: sdR-b2-00034590.fit: Discarding 0.00460815 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 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of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034590.fit: Median sky-residual chi2 = 1.40841 SKYSUBTRACT: sdR-b2-00034590.fit: Max sky-residual chi2 = 10.8670 QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 1 = 16.6371 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 7 = -11.8078 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 14 = -13.4985 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 27 = 24.1558 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 53 = -10.1539 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 85 = -11.1922 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 110 = -13.4443 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 115 = -15.9209 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 154 = 16.5655 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 185 = 17.6545 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 202 = -14.2379 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 277 = -17.4650 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Warning: Median sky-sub flux in sky fiber 309 = 21.9421 electrons QAPLOT_SKYSUB: sdR-b2-00034590.fit: Median sky-residual chi = 1.19376 QAPLOT_SKYSUB: sdR-b2-00034590.fit: Max sky-residual chi = 4.39260 at 6165.8164 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. QAPLOT_SKYLINE: sdR-b2-00034590.fit: Airmass range = 1.35 1.41 QAPLOT_SKYLINE: sdR-b2-00034590.fit: Flux dispersion for skyline 4359.5 = 11.77 % QAPLOT_SKYLINE: sdR-b2-00034590.fit: Airmass range = 1.35 1.41 QAPLOT_SKYLINE: sdR-b2-00034590.fit: Flux dispersion for skyline 5578.9 = 2.55 % SPADD_GUIDERINFO: sdR-b2-00034590.fit: Number of guider frames = 24 SPREDUCE: sdR-b2-00034590.fit: Elapsed time = 164. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. % Compiled module: APPEND_NULL_HDU. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 1181. seconds SPREDUCE2D: Time to reduce camera b2 = 1181. seconds READPLUGMAP: r1: Rescaling SCI_EXPTIME values by 600.10000 READPLUGMAP: r1: Adding fields from calibObj file READPLUGMAP: r1: LIED about EBV. Set to 0.3 PLUG2TSOBJ: r1: WARNING: calibObj file not found for plate 2338 READPLUGMAP: r1: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: r1: Number of missing fibers: 3 SPCALIB: r1: Tracing flat # 1 of 2 SPCALIB: r1: Reading flat sdR-r1-00034585.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opECalib-51577.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.91426 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1192.29 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.75526 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1241.24 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Tracing 320 fibers in sdR-r1-00034585.fit TRACE320CEN: r1: Big gap at fiber= 20, x= 150.11, dx= 7.98 TRACE320CEN: r1: Big gap at fiber= 40, x= 276.96, dx= 8.17 TRACE320CEN: r1: Big gap at fiber= 60, x= 402.72, dx= 7.64 TRACE320CEN: r1: Big gap at fiber= 80, x= 529.17, dx= 8.71 TRACE320CEN: r1: Big gap at fiber= 100, x= 654.37, dx= 7.98 TRACE320CEN: r1: Big gap at fiber= 120, x= 779.92, dx= 8.55 TRACE320CEN: r1: Big gap at fiber= 140, x= 904.96, dx= 8.41 TRACE320CEN: r1: Big gap at fiber= 160, x=1029.49, dx= 7.94 TRACE320CEN: r1: Big gap at fiber= 180, x=1154.88, dx= 8.78 TRACE320CEN: r1: Big gap at fiber= 200, x=1279.84, dx= 7.76 TRACE320CEN: r1: Big gap at fiber= 220, x=1405.57, dx= 8.62 TRACE320CEN: r1: Big gap at fiber= 260, x=1656.90, dx= 8.39 TRACE320CEN: r1: Big gap at fiber= 280, x=1782.99, dx= 7.88 TRACE320CEN: r1: Big gap at fiber= 300, x=1910.17, dx= 8.40 TRACE320CRUDE: r1: Warning: Fixing traces: 11 45 90 98 103 145 173 174 187 188 216 249 251 268 269 294 297 298 305 316 SPCALIB: r1: Fitting traces in sdR-r1-00034585.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 37 13 2048 12 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 15 27 2048 20 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 14 45 2048 0 46 2048 13 47 2048 3 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 1 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 4 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 43 100 2048 15 101 2048 0 102 2048 0 103 2048 0 104 2048 52 105 2048 28 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 12 137 2048 103 138 2048 1 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 17 145 2048 0 146 2048 52 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 1 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 3 173 2048 0 174 2048 0 175 2048 6 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 1 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 38 248 2048 91 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 12 267 2048 77 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 63 304 2048 70 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 804 SPCALIB: r1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 2 1.00 1.32 .0001 2 1.00 1.29 .0002 2 1.00 1.20 .0003 2 1.00 1.25 .0004 2 1.00 1.18 .0005 2 1.00 1.27 .0006 2 1.00 1.26 .0007 2 1.00 1.23 .0008 2 1.00 1.15 .0009 2 1.00 1.28 .0010 2 1.00 1.23 .0011 2 1.00 1.39 .0012 2 1.00 1.23 .0013 2 1.00 1.22 .0014 2 1.00 1.32 .0015 2 1.00 1.34 .0016 2 1.00 1.27 .0017 2 1.00 1.33 .0018 2 1.00 1.42 .0019 2 1.00 1.24 .0020 2 1.00 1.40 .0021 2 1.00 1.26 .0022 2 1.00 1.34 .0023 2 1.00 1.37 .0024 2 1.00 1.25 .0025 2 1.00 1.42 .0026 2 1.00 1.39 .0027 2 1.00 1.38 .0028 2 1.00 1.33 .0029 2 1.00 1.29 .0030 2 1.00 1.41 .0031 2 1.00 1.34 .0032 2 1.00 1.42 .0033 2 1.00 1.43 .0034 2 1.00 1.41 .0035 2 1.00 1.58 .0036 2 1.00 1.45 .0037 2 1.00 1.48 .0038 2 1.00 1.46 .0039 2 1.00 1.51 .0040 2 1.00 1.66 .0041 3 1.00 1.61 .0042 2 1.00 1.65 .0043 2 1.00 1.60 .0044 2 1.00 1.55 .0045 2 1.00 1.65 .0046 1 1.00 1.84 .0047 1 1.00 1.94 .0048 1 1.00 2.00 .0049 1 1.00 1.85 .0050 1 1.00 1.91 .0051 2 1.00 1.93 .0052 1 1.00 2.16 .0053 1 1.00 2.02 .0054 1 1.00 1.94 .0055 1 1.00 1.95 .0056 1 1.00 2.03 .0057 1 1.00 2.05 .0058 1 1.00 1.99 .0059 1 1.00 2.02 .0060 1 1.00 1.86 .0061 1 1.00 1.97 .0062 1 1.00 2.18 .0063 1 1.00 1.94 .0064 1 1.00 2.07 .0065 1 1.00 2.00 .0066 1 1.00 1.98 .0067 1 1.00 2.13 .0068 1 1.00 2.31 .0069 2 1.00 2.48 .0070 2 1.00 2.18 .0071 1 1.00 2.09 .0072 1 1.00 2.17 .0073 1 1.00 2.13 .0074 1 1.00 2.32 .0075 1 1.00 2.15 .0076 1 1.00 2.20 .0077 1 1.00 2.24 .0078 1 1.00 2.29 .0079 1 1.00 2.28 .0080 1 1.00 2.51 .0081 1 1.00 2.33 .0082 1 1.00 2.32 .0083 1 1.00 2.29 .0084 1 1.00 2.24 .0085 1 1.00 2.20 .0086 1 1.00 2.63 .0087 2 1.00 2.59 .0088 1 1.00 2.33 .0089 1 1.00 2.31 .0090 1 1.00 2.28 .0091 1 1.00 2.43 .0092 1 1.00 2.28 .0093 1 1.00 2.35 .0094 1 1.00 2.39 .0095 1 1.00 2.30 .0096 1 1.00 2.43 .0097 1 1.00 2.41 .0098 1 1.00 2.23 .0099 1 1.00 2.83 .0100 3 1.00 2.27 .0101 1 1.00 2.36 .0102 1 1.00 2.36 .0103 1 1.00 2.83 .0104 1 1.00 2.37 .0105 2 1.00 2.25 .0106 1 1.00 2.31 .0107 1 1.00 2.37 .0108 1 1.00 2.31 .0109 1 1.00 2.42 .0110 1 1.00 2.39 .0111 2 1.00 2.54 .0112 1 1.00 2.41 .0113 2 1.00 2.26 .0114 2 1.00 2.33 .0115 1 1.00 2.33 .0116 1 1.00 2.26 .0117 1 1.00 2.29 .0118 1 1.00 2.35 .0119 1 1.00 2.40 .0120 1 1.00 2.27 .0121 1 1.00 2.39 .0122 1 1.00 2.42 .0123 1 1.00 2.43 .0124 1 1.00 2.41 .0125 1 1.00 2.40 .0126 1 1.00 2.46 .0127 1 1.00 2.57 .0128 1 1.00 2.39 .0129 1 1.00 2.53 .0130 1 1.00 2.40 .0131 1 1.00 2.47 .0132 1 1.00 2.48 .0133 1 1.00 2.34 .0134 1 1.00 2.41 .0135 1 1.00 2.57 .0136 1 1.00 2.57 .0137 1 1.00 2.48 .0138 1 1.00 2.46 .0139 1 1.00 2.24 .0140 1 1.00 2.39 .0141 1 1.00 2.42 .0142 1 1.00 2.31 .0143 1 1.00 2.43 .0144 1 1.00 2.48 .0145 1 1.00 2.45 .0146 1 1.00 2.27 .0147 2 1.00 2.41 .0148 1 1.00 2.59 .0149 1 1.00 2.38 .0150 1 1.00 2.83 .0151 4 1.00 2.41 .0152 1 1.00 2.25 .0153 1 1.00 2.23 .0154 1 1.00 2.25 .0155 1 1.00 2.40 .0156 1 1.00 2.38 .0157 1 1.00 2.23 .0158 1 1.00 2.40 .0159 1 1.00 2.31 .0160 1 1.00 2.22 .0161 1 1.00 2.24 .0162 1 1.00 2.15 .0163 1 1.00 2.32 .0164 3 1.00 2.16 .0165 1 1.00 2.13 .0166 1 1.00 2.17 .0167 1 1.00 2.11 .0168 1 1.00 2.28 .0169 1 1.00 2.24 .0170 1 1.00 2.10 .0171 1 1.00 2.17 .0172 1 1.00 2.24 .0173 1 1.00 2.16 .0174 1 1.00 2.05 .0175 1 1.00 2.29 .0176 1 1.00 2.25 .0177 1 1.00 2.61 .0178 2 1.00 2.22 .0179 2 1.00 2.22 .0180 1 1.00 2.18 .0181 1 1.00 2.05 .0182 1 1.00 2.29 .0183 1 1.00 2.20 .0184 3 1.00 2.19 .0185 1 1.00 2.62 .0186 1 1.00 2.24 .0187 1 1.00 2.18 .0188 1 1.00 2.19 .0189 1 1.00 2.08 .0190 1 1.00 2.15 .0191 2 1.00 2.17 .0192 1 1.00 2.25 .0193 1 1.00 2.04 .0194 1 1.00 2.15 .0195 1 1.00 2.24 .0196 1 1.00 1.98 .0197 1 1.00 2.06 .0198 1 1.00 2.09 .0199 2 1.00 2.14 .0200 1 1.00 2.11 .0201 2 1.00 2.37 .0202 1 1.00 2.42 .0203 1 1.00 2.22 .0204 1 1.00 2.21 .0205 1 1.00 2.12 .0206 1 1.00 2.01 .0207 1 1.00 2.20 .0208 1 1.00 2.04 .0209 1 1.00 2.27 .0210 1 1.00 2.18 .0211 1 1.00 2.34 .0212 2 1.00 2.47 .0213 2 1.00 2.38 .0214 2 1.00 2.41 .0215 3 1.00 2.21 .0216 2 1.00 2.32 .0217 1 1.00 2.45 .0218 1 1.00 2.31 .0219 1 1.00 2.30 .0220 2 1.00 2.66 .0221 2 1.00 2.45 .0222 1 1.00 2.35 .0223 1 1.00 2.41 .0224 1 1.00 2.31 .0225 1 1.00 2.41 .0226 1 1.00 2.53 .0227 1 1.00 2.65 .0228 1 1.00 2.47 .0229 1 1.00 2.57 .0230 1 1.00 2.78 .0231 2 1.00 2.59 .0232 1 1.00 2.70 .0233 1 1.00 2.56 .0234 1 1.00 2.75 .0235 3 1.00 2.77 .0236 1 1.00 2.78 .0237 1 1.00 2.71 .0238 1 1.00 2.57 .0239 1 1.00 2.51 .0240 1 1.00 2.69 .0241 1 1.00 2.58 .0242 1 1.00 2.70 .0243 1 1.00 2.68 .0244 1 1.00 2.53 .0245 1 1.00 2.80 .0246 1 1.00 2.69 .0247 1 1.00 2.72 .0248 1 1.00 2.73 .0249 1 1.00 2.85 .0250 1 1.00 2.90 .0251 1 1.00 2.86 .0252 1 1.00 2.92 .0253 1 1.00 2.93 .0254 1 1.00 2.73 .0255 1 1.00 2.83 .0256 1 1.00 2.97 .0257 1 1.00 2.85 .0258 1 1.00 2.93 .0259 1 1.00 2.80 .0260 1 1.00 2.97 .0261 1 1.00 2.92 .0262 1 1.00 2.80 .0263 1 1.00 3.04 .0264 2 1.00 2.82 .0265 1 1.00 2.83 .0266 1 1.00 2.75 .0267 1 1.00 2.86 .0268 1 1.00 2.92 .0269 1 1.00 2.87 .0270 1 1.00 2.80 .0271 1 1.00 2.70 .0272 1 1.00 2.76 .0273 1 1.00 2.60 .0274 1 1.00 2.66 .0275 1 1.00 2.76 .0276 1 1.00 2.61 .0277 1 1.00 2.68 .0278 1 1.00 2.62 .0279 1 1.00 2.64 .0280 1 1.00 2.83 .0281 1 1.00 2.68 .0282 1 1.00 2.56 .0283 1 1.00 2.74 .0284 1 1.00 2.70 .0285 1 1.00 2.99 .0286 1 1.00 2.63 .0287 1 1.00 2.50 .0288 1 1.00 2.65 .0289 1 1.00 2.56 .0290 1 1.00 2.77 .0291 1 1.00 2.52 .0292 1 1.00 2.84 .0293 1 1.00 2.42 .0294 1 1.00 2.43 .0295 1 1.00 2.51 .0296 1 1.00 2.38 .0297 1 1.00 2.42 .0298 1 1.00 2.34 .0299 1 1.00 2.31 .0300 2 1.00 2.39 .0301 1 1.00 2.25 .0302 1 1.00 2.23 .0303 1 1.00 2.31 .0304 1 1.00 2.36 .0305 1 1.00 2.25 .0306 1 1.00 2.38 .0307 1 1.00 2.27 .0308 1 1.00 2.25 .0309 1 1.00 2.24 .0310 1 1.00 2.27 .0311 1 1.00 2.40 .0312 2 1.00 2.25 .0313 1 1.00 2.53 .0314 1 1.00 2.29 .0315 1 1.00 2.13 .0316 1 1.00 2.59 .0317 2 1.00 2.34 .0318 1 1.00 2.36 .0319 1 1.00 2.61 .0320 1 1.00 2.17 .0321 1 1.00 2.24 .0322 1 1.00 2.25 .0323 1 1.00 2.32 .0324 2 1.00 2.27 .0325 1 1.00 2.34 .0326 1 1.00 2.30 .0327 1 1.00 2.23 .0328 1 1.00 2.26 .0329 1 1.00 2.14 .0330 1 1.00 2.19 .0331 1 1.00 2.32 .0332 1 1.00 2.34 .0333 1 1.00 2.23 .0334 1 1.00 2.28 .0335 1 1.00 2.20 .0336 1 1.00 2.23 .0337 1 1.00 2.19 .0338 1 1.00 2.21 .0339 1 1.00 2.28 .0340 1 1.00 2.44 .0341 1 1.00 2.52 .0342 1 1.00 2.45 .0343 1 1.00 2.34 .0344 1 1.00 2.28 .0345 1 1.00 2.29 .0346 1 1.00 2.47 .0347 1 1.00 2.41 .0348 1 1.00 2.29 .0349 1 1.00 2.30 .0350 1 1.00 2.34 .0351 1 1.00 2.35 .0352 1 1.00 2.38 .0353 1 1.00 2.28 .0354 1 1.00 2.37 .0355 1 1.00 2.36 .0356 1 1.00 2.36 .0357 1 1.00 2.31 .0358 1 1.00 2.40 .0359 1 1.00 2.35 .0360 1 1.00 2.30 .0361 1 1.00 2.52 .0362 1 1.00 2.45 .0363 1 1.00 2.38 .0364 2 1.00 2.38 .0365 1 1.00 2.46 .0366 1 1.00 2.35 .0367 1 1.00 2.24 .0368 1 1.00 2.21 .0369 1 1.00 2.40 .0370 1 1.00 2.26 .0371 1 1.00 2.32 .0372 1 1.00 2.36 .0373 1 1.00 2.19 .0374 1 1.00 2.07 .0375 1 1.00 2.23 .0376 1 1.00 2.24 .0377 1 1.00 2.42 .0378 1 1.00 2.28 .0379 1 1.00 2.32 .0380 1 1.00 2.42 .0381 1 1.00 2.32 .0382 1 1.00 2.39 .0383 1 1.00 2.28 .0384 1 1.00 2.29 .0385 1 1.00 2.29 .0386 1 1.00 2.37 .0387 1 1.00 2.40 .0388 1 1.00 2.30 .0389 1 1.00 2.16 .0390 2 1.00 2.30 .0391 2 1.00 2.15 .0392 2 1.00 2.29 .0393 2 1.00 2.33 .0394 2 1.00 2.28 .0395 2 1.00 2.40 .0396 2 1.00 2.21 .0397 2 1.00 2.10 .0398 2 1.00 2.14 .0399 2 1.00 2.06 .0400 2 1.00 2.32 .0401 2 1.00 2.32 .0402 2 1.00 2.25 .0403 2 1.00 2.12 .0404 2 1.00 2.41 .0405 2 1.00 2.13 .0406 2 1.00 2.15 .0407 2 1.00 2.03 .0408 3 1.00 2.04 .0409 3 1.00 2.39 .0410 3 1.00 2.20 .0411 2 1.00 2.14 .0412 2 1.00 2.09 .0413 2 1.00 2.19 .0414 2 1.00 2.10 .0415 2 1.00 2.20 .0416 2 1.00 2.16 .0417 1 1.00 2.36 .0418 1 1.00 2.19 .0419 1 1.00 2.40 .0420 1 1.00 2.42 .0421 1 1.00 2.26 .0422 1 1.00 2.39 .0423 1 1.00 2.69 .0424 1 1.00 2.26 .0425 1 1.00 2.16 .0426 1 1.00 2.26 .0427 1 1.00 2.23 .0428 1 1.00 2.23 .0429 1 1.00 2.14 .0430 1 1.00 2.24 .0431 1 1.00 2.24 .0432 1 1.00 2.16 .0433 1 1.00 2.49 .0434 1 1.00 2.19 .0435 1 1.00 2.21 .0436 1 1.00 1.98 .0437 1 1.00 2.25 .0438 1 1.00 2.08 .0439 1 1.00 2.14 .0440 1 1.00 2.14 .0441 1 1.00 2.23 .0442 1 1.00 2.11 .0443 1 1.00 2.08 .0444 1 1.00 2.06 .0445 1 1.00 2.26 .0446 1 1.00 2.09 .0447 1 1.00 2.09 .0448 1 1.00 2.14 .0449 1 1.00 2.01 .0450 1 1.00 2.02 .0451 1 1.00 2.15 .0452 1 1.00 2.15 .0453 1 1.00 1.95 .0454 1 1.00 2.02 .0455 1 1.00 2.20 .0456 1 1.00 2.09 .0457 1 1.00 2.04 .0458 1 1.00 2.01 .0459 1 1.00 2.23 .0460 1 1.00 2.21 .0461 2 1.00 2.11 .0462 1 1.00 2.10 .0463 1 1.00 2.08 .0464 1 1.00 2.04 .0465 1 1.00 2.03 .0466 1 1.00 2.18 .0467 1 1.00 2.10 .0468 1 1.00 2.06 .0469 1 1.00 2.13 .0470 1 1.00 1.95 .0471 1 1.00 1.96 .0472 1 1.00 2.09 .0473 2 1.00 2.25 .0474 1 1.00 2.16 .0475 1 1.00 2.13 .0476 1 1.00 2.02 .0477 1 1.00 1.93 .0478 1 1.00 2.10 .0479 1 1.00 2.08 .0480 1 1.00 2.31 .0481 1 1.00 2.07 .0482 1 1.00 2.10 .0483 1 1.00 2.06 .0484 1 1.00 1.95 .0485 1 1.00 2.08 .0486 1 1.00 2.08 .0487 1 1.00 1.94 .0488 1 1.00 2.00 .0489 1 1.00 2.00 .0490 1 1.00 1.91 .0491 1 1.00 2.03 .0492 1 1.00 1.97 .0493 1 1.00 2.10 .0494 1 1.00 2.09 .0495 1 1.00 2.05 .0496 1 1.00 2.00 .0497 2 1.00 2.01 .0498 1 1.00 1.97 .0499 1 1.00 2.01 .0500 1 1.00 1.94 .0501 1 1.00 1.97 .0502 1 1.00 1.99 .0503 1 1.00 2.12 .0504 1 1.00 1.96 .0505 1 1.00 1.99 .0506 1 1.00 1.93 .0507 2 1.00 1.93 .0508 1 1.00 2.02 .0509 1 1.00 1.85 .0510 1 1.00 1.97 .0511 1 1.00 1.99 .0512 1 1.00 1.97 .0513 1 1.00 1.99 .0514 1 1.00 2.01 .0515 2 1.00 1.96 .0516 3 1.00 1.95 .0517 1 1.00 1.97 .0518 1 1.00 1.94 .0519 1 1.00 1.93 .0520 1 1.00 1.93 .0521 1 1.00 1.90 .0522 1 1.00 2.04 .0523 2 1.00 1.94 .0524 2 1.00 2.15 .0525 1 1.00 2.30 .0526 1 1.00 2.10 .0527 1 1.00 2.02 .0528 1 1.00 2.55 .0529 1 1.00 2.00 .0530 1 1.00 2.05 .0531 1 1.00 1.89 .0532 1 1.00 1.98 .0533 1 1.00 1.99 .0534 1 1.00 2.01 .0535 1 1.00 1.96 .0536 1 1.00 2.06 .0537 1 1.00 1.97 .0538 1 1.00 1.97 .0539 1 1.00 2.13 .0540 1 1.00 2.09 .0541 1 1.00 2.07 .0542 1 1.00 2.05 .0543 1 1.00 1.97 .0544 1 1.00 2.11 .0545 1 1.00 2.18 .0546 1 1.00 2.09 .0547 1 1.00 2.15 .0548 1 1.00 2.02 .0549 1 1.00 2.05 .0550 1 1.00 2.11 .0551 1 1.00 2.02 .0552 1 1.00 2.10 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.1885 1 1.00 3.20 .1886 1 1.00 3.16 .1887 1 1.00 3.16 .1888 2 1.00 3.13 .1889 1 1.00 3.29 .1890 1 1.00 3.30 .1891 1 1.00 3.17 .1892 1 1.00 3.15 .1893 1 1.00 3.30 .1894 1 1.00 3.16 .1895 1 1.00 3.07 .1896 1 1.00 3.15 .1897 1 1.00 3.19 .1898 1 1.00 3.31 .1899 1 1.00 3.25 .1900 1 1.00 3.21 .1901 1 1.00 3.44 .1902 1 1.00 3.35 .1903 1 1.00 3.31 .1904 1 1.00 3.23 .1905 1 1.00 3.52 .1906 1 1.00 3.55 .1907 1 1.00 3.56 .1908 1 1.00 3.44 .1909 1 1.00 3.38 .1910 1 1.00 3.33 .1911 1 1.00 3.19 .1912 1 1.00 3.18 .1913 1 1.00 3.37 .1914 1 1.00 3.40 .1915 1 1.00 3.35 .1916 1 1.00 3.35 .1917 1 1.00 3.26 .1918 1 1.00 3.18 .1919 1 1.00 3.17 .1920 1 1.00 3.36 .1921 1 1.00 3.30 .1922 1 1.00 3.26 .1923 1 1.00 3.24 .1924 1 1.00 3.42 .1925 1 1.00 3.44 .1926 1 1.00 3.34 .1927 1 1.00 3.27 .1928 1 1.00 3.52 .1929 1 1.00 3.61 .1930 1 1.00 3.30 .1931 1 1.00 3.41 .1932 1 1.00 3.20 .1933 1 1.00 3.42 .1934 1 1.00 3.30 .1935 1 1.00 3.27 .1936 1 1.00 3.44 .1937 1 1.00 3.37 .1938 1 1.00 3.38 .1939 1 1.00 3.46 .1940 1 1.00 3.49 .1941 1 1.00 3.46 .1942 1 1.00 3.43 .1943 1 1.00 3.46 .1944 1 1.00 3.39 .1945 1 1.00 3.99 .1946 1 1.00 3.23 .1947 1 1.00 3.67 .1948 2 1.00 3.34 .1949 2 1.00 3.29 .1950 1 1.00 3.37 .1951 1 1.00 3.28 .1952 1 1.00 3.30 .1953 1 1.00 3.86 .1954 1 1.00 3.17 .1955 1 1.00 3.93 .1956 1 1.00 3.73 .1957 1 1.00 3.33 .1958 1 1.00 3.17 .1959 1 1.00 3.31 .1960 1 1.00 3.43 .1961 1 1.00 3.22 .1962 1 1.00 3.36 .1963 1 1.00 3.49 .1964 1 1.00 3.24 .1965 1 1.00 3.36 .1966 1 1.00 3.25 .1967 1 1.00 3.58 .1968 1 1.00 3.48 .1969 1 1.00 3.51 .1970 1 1.00 3.34 .1971 1 1.00 3.31 .1972 1 1.00 3.38 .1973 1 1.00 3.38 .1974 1 1.00 3.11 .1975 1 1.00 3.53 .1976 1 1.00 3.41 .1977 1 1.00 3.38 .1978 1 1.00 3.27 .1979 2 1.00 3.60 .1980 1 1.00 3.50 .1981 1 1.00 3.36 .1982 1 1.00 3.48 .1983 1 1.00 3.34 .1984 1 1.00 3.26 .1985 1 1.00 3.43 .1986 1 1.00 3.34 .1987 1 1.00 3.24 .1988 1 1.00 3.40 .1989 1 1.00 3.35 .1990 1 1.00 3.32 .1991 1 1.00 3.88 .1992 1 1.00 3.28 .1993 1 1.00 3.14 .1994 1 1.00 3.35 .1995 1 1.00 3.38 .1996 1 1.00 3.33 .1997 1 1.00 3.47 .1998 2 1.00 3.37 .1999 1 1.00 3.49 .2000 1 1.00 3.43 .2001 1 1.00 3.42 .2002 1 1.00 3.51 .2003 1 1.00 3.20 .2004 1 1.00 3.35 .2005 1 1.00 3.23 .2006 1 1.00 3.53 .2007 1 1.00 3.37 .2008 1 1.00 3.36 .2009 1 1.00 3.20 .2010 1 1.00 3.31 .2011 1 1.00 3.39 .2012 1 1.00 3.40 .2013 1 1.00 3.53 .2014 1 1.00 3.35 .2015 2 1.00 3.26 .2016 1 1.00 3.39 .2017 1 1.00 3.18 .2018 1 1.00 3.30 .2019 1 1.00 3.36 .2020 1 1.00 3.51 .2021 1 1.00 3.33 .2022 1 1.00 3.54 .2023 1 1.00 3.80 .2024 1 1.00 3.53 .2025 1 1.00 3.30 .2026 1 1.00 3.36 .2027 1 1.00 3.22 .2028 1 1.00 3.41 .2029 1 1.00 3.22 .2030 1 1.00 3.26 .2031 1 1.00 3.14 .2032 1 1.00 3.30 .2033 1 1.00 3.23 .2034 2 1.00 3.19 .2035 1 1.00 3.33 .2036 1 1.00 3.14 .2037 1 1.00 3.25 .2038 1 1.00 3.03 .2039 1 1.00 3.04 .2040 1 1.00 3.14 .2041 1 1.00 3.44 .2042 1 1.00 3.68 .2043 1 1.00 3.38 .2044 2 1.00 3.15 .2045 1 1.00 3.27 .2046 1 1.00 3.07 .2047 1 1.00 3.18 EXTRACT_IMAGE: r1: masked 279 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITFLATWIDTH: r1: Median spatial widths = 0.92 0.97 0.91 0.92 pix (LL LR UL UR) SPCALIB: r1: Using Cubic, median chi squareds: vs SPCALIB: r1: Found 0 bright pixels in extracted flat sdR-r1-00034585.fit SPCALIB: r1: Tracing flat # 2 of 2 SPCALIB: r1: Reading flat sdR-r1-00034591.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.89476 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1192.75 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.77357 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1241.60 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Tracing 320 fibers in sdR-r1-00034591.fit TRACE320CEN: r1: Big gap at fiber= 20, x= 150.02, dx= 7.99 TRACE320CEN: r1: Big gap at fiber= 40, x= 276.86, dx= 8.19 TRACE320CEN: r1: Big gap at fiber= 60, x= 402.59, dx= 7.62 TRACE320CEN: r1: Big gap at fiber= 80, x= 529.06, dx= 8.74 TRACE320CEN: r1: Big gap at fiber= 100, x= 654.25, dx= 7.98 TRACE320CEN: r1: Big gap at fiber= 120, x= 779.80, dx= 8.55 TRACE320CEN: r1: Big gap at fiber= 140, x= 904.84, dx= 8.45 TRACE320CEN: r1: Big gap at fiber= 160, x=1029.33, dx= 7.94 TRACE320CEN: r1: Big gap at fiber= 180, x=1154.75, dx= 8.77 TRACE320CEN: r1: Big gap at fiber= 200, x=1279.70, dx= 7.73 TRACE320CEN: r1: Big gap at fiber= 220, x=1405.39, dx= 8.58 TRACE320CEN: r1: Big gap at fiber= 260, x=1656.75, dx= 8.42 TRACE320CEN: r1: Big gap at fiber= 280, x=1782.85, dx= 7.89 TRACE320CEN: r1: Big gap at fiber= 300, x=1910.03, dx= 8.43 TRACE320CRUDE: r1: Warning: Fixing traces: 11 45 90 98 103 145 173 174 187 188 216 249 251 268 269 294 297 298 305 316 SPCALIB: r1: Fitting traces in sdR-r1-00034591.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 24 13 2048 25 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 26 27 2048 3 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 30 45 2048 0 46 2048 15 47 2048 9 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 1 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 57 100 2048 37 101 2048 0 102 2048 0 103 2048 0 104 2048 90 105 2048 23 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 29 137 2048 96 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 1 145 2048 0 146 2048 64 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 3 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 2 173 2048 0 174 2048 0 175 2048 10 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 69 218 2048 0 219 2048 0 220 2048 0 221 2048 1 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 12 248 2048 65 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 24 267 2048 62 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 57 304 2048 42 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 877 SPCALIB: r1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 2 1.00 1.44 .0001 3 1.00 1.15 .0002 2 1.00 1.29 .0003 2 1.00 1.33 .0004 2 1.00 1.21 .0005 2 1.00 1.25 .0006 2 1.00 1.24 .0007 2 1.00 1.21 .0008 2 1.00 1.34 .0009 2 1.00 1.27 .0010 2 1.00 1.27 .0011 2 1.00 1.31 .0012 2 1.00 1.31 .0013 2 1.00 1.28 .0014 2 1.00 1.36 .0015 2 1.00 1.31 .0016 2 1.00 1.37 .0017 2 1.00 1.32 .0018 2 1.00 1.24 .0019 2 1.00 1.35 .0020 2 1.00 1.33 .0021 2 1.00 1.46 .0022 2 1.00 1.34 .0023 2 1.00 1.43 .0024 2 1.00 1.39 .0025 1 1.00 1.87 .0026 3 1.00 1.40 .0027 2 1.00 1.47 .0028 2 1.00 1.50 .0029 1 1.00 1.80 .0030 2 1.00 1.36 .0031 2 1.00 1.42 .0032 1 1.00 1.70 .0033 2 1.00 1.44 .0034 2 1.00 1.48 .0035 1 1.00 1.72 .0036 1 1.00 1.73 .0037 1 1.00 1.62 .0038 1 1.00 1.77 .0039 1 1.00 1.67 .0040 1 1.00 1.78 .0041 1 1.00 1.65 .0042 1 1.00 1.76 .0043 1 1.00 1.80 .0044 1 1.00 1.80 .0045 1 1.00 1.81 .0046 1 1.00 1.90 .0047 1 1.00 1.91 .0048 1 1.00 1.88 .0049 1 1.00 1.90 .0050 1 1.00 2.00 .0051 1 1.00 2.00 .0052 1 1.00 1.89 .0053 1 1.00 1.93 .0054 1 1.00 1.91 .0055 1 1.00 1.93 .0056 1 1.00 2.05 .0057 1 1.00 2.08 .0058 1 1.00 1.96 .0059 1 1.00 2.18 .0060 1 1.00 2.04 .0061 1 1.00 2.03 .0062 1 1.00 2.25 .0063 1 1.00 2.14 .0064 2 1.00 2.16 .0065 1 1.00 2.16 .0066 1 1.00 2.42 .0067 2 1.00 2.70 .0068 1 1.00 2.23 .0069 1 1.00 2.20 .0070 1 1.00 2.25 .0071 1 1.00 2.35 .0072 1 1.00 2.28 .0073 1 1.00 2.21 .0074 1 1.00 2.42 .0075 1 1.00 2.38 .0076 1 1.00 2.30 .0077 1 1.00 2.37 .0078 1 1.00 2.26 .0079 1 1.00 2.45 .0080 1 1.00 2.61 .0081 1 1.00 2.61 .0082 1 1.00 2.35 .0083 1 1.00 2.38 .0084 1 1.00 2.55 .0085 1 1.00 2.49 .0086 1 1.00 2.37 .0087 1 1.00 2.55 .0088 1 1.00 2.42 .0089 1 1.00 2.52 .0090 1 1.00 2.46 .0091 1 1.00 2.60 .0092 1 1.00 2.58 .0093 1 1.00 2.74 .0094 1 1.00 2.51 .0095 1 1.00 2.52 .0096 1 1.00 2.48 .0097 1 1.00 2.63 .0098 1 1.00 2.61 .0099 1 1.00 2.58 .0100 1 1.00 2.58 .0101 1 1.00 2.66 .0102 1 1.00 2.63 .0103 1 1.00 2.69 .0104 1 1.00 2.69 .0105 1 1.00 2.64 .0106 1 1.00 2.61 .0107 1 1.00 2.65 .0108 1 1.00 2.76 .0109 1 1.00 2.79 .0110 1 1.00 2.59 .0111 1 1.00 2.69 .0112 1 1.00 2.69 .0113 1 1.00 2.79 .0114 1 1.00 2.67 .0115 1 1.00 2.60 .0116 1 1.00 2.71 .0117 1 1.00 2.85 .0118 2 1.00 2.72 .0119 1 1.00 2.91 .0120 1 1.00 2.75 .0121 1 1.00 2.73 .0122 1 1.00 2.80 .0123 1 1.00 2.77 .0124 1 1.00 2.96 .0125 1 1.00 3.11 .0126 1 1.00 3.21 .0127 2 1.00 2.86 .0128 1 1.00 2.77 .0129 1 1.00 2.78 .0130 1 1.00 2.77 .0131 2 1.00 2.84 .0132 1 1.00 2.76 .0133 1 1.00 2.84 .0134 1 1.00 2.78 .0135 1 1.00 2.86 .0136 1 1.00 2.76 .0137 1 1.00 2.80 .0138 1 1.00 2.82 .0139 1 1.00 2.71 .0140 1 1.00 2.73 .0141 1 1.00 2.64 .0142 1 1.00 2.69 .0143 1 1.00 2.66 .0144 1 1.00 2.68 .0145 1 1.00 2.59 .0146 1 1.00 2.70 .0147 1 1.00 2.79 .0148 1 1.00 3.06 .0149 1 1.00 2.70 .0150 1 1.00 2.51 .0151 1 1.00 2.69 .0152 1 1.00 2.57 .0153 1 1.00 2.56 .0154 1 1.00 2.79 .0155 1 1.00 2.70 .0156 1 1.00 2.99 .0157 1 1.00 2.73 .0158 1 1.00 2.70 .0159 1 1.00 2.65 .0160 1 1.00 2.76 .0161 1 1.00 2.54 .0162 1 1.00 2.67 .0163 1 1.00 2.59 .0164 1 1.00 2.50 .0165 1 1.00 2.51 .0166 1 1.00 2.53 .0167 1 1.00 2.57 .0168 1 1.00 2.48 .0169 1 1.00 2.46 .0170 1 1.00 2.49 .0171 1 1.00 2.49 .0172 1 1.00 2.41 .0173 1 1.00 2.37 .0174 1 1.00 2.60 .0175 1 1.00 2.52 .0176 1 1.00 2.58 .0177 2 1.00 2.94 .0178 1 1.00 2.59 .0179 1 1.00 2.64 .0180 1 1.00 2.54 .0181 1 1.00 2.55 .0182 2 1.00 2.47 .0183 1 1.00 2.45 .0184 1 1.00 2.45 .0185 1 1.00 2.71 .0186 1 1.00 2.56 .0187 1 1.00 2.56 .0188 1 1.00 2.44 .0189 1 1.00 2.54 .0190 1 1.00 2.47 .0191 1 1.00 2.56 .0192 1 1.00 2.44 .0193 1 1.00 2.49 .0194 1 1.00 2.41 .0195 1 1.00 2.44 .0196 1 1.00 2.53 .0197 1 1.00 2.69 .0198 1 1.00 2.38 .0199 1 1.00 2.42 .0200 1 1.00 2.56 .0201 1 1.00 2.58 .0202 1 1.00 2.41 .0203 1 1.00 2.41 .0204 1 1.00 2.52 .0205 1 1.00 2.39 .0206 1 1.00 2.50 .0207 1 1.00 2.34 .0208 1 1.00 2.47 .0209 2 1.00 2.65 .0210 1 1.00 2.40 .0211 1 1.00 2.38 .0212 1 1.00 2.51 .0213 1 1.00 2.44 .0214 1 1.00 2.47 .0215 2 1.00 2.60 .0216 1 1.00 2.63 .0217 1 1.00 2.62 .0218 1 1.00 2.65 .0219 1 1.00 2.71 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1.00 2.81 .1608 1 1.00 2.76 .1609 1 1.00 2.82 .1610 1 1.00 2.66 .1611 1 1.00 2.64 .1612 1 1.00 2.57 .1613 1 1.00 2.86 .1614 1 1.00 2.69 .1615 1 1.00 2.76 .1616 1 1.00 2.74 .1617 1 1.00 2.86 .1618 1 1.00 3.49 .1619 1 1.00 2.79 .1620 1 1.00 2.74 .1621 1 1.00 2.98 .1622 3 1.00 2.72 .1623 1 1.00 2.63 .1624 1 1.00 2.77 .1625 1 1.00 2.73 .1626 1 1.00 2.77 .1627 1 1.00 2.72 .1628 1 1.00 2.81 .1629 1 1.00 2.66 .1630 1 1.00 2.66 .1631 1 1.00 2.64 .1632 1 1.00 2.62 .1633 1 1.00 2.66 .1634 2 1.00 2.81 .1635 2 1.00 2.69 .1636 1 1.00 2.63 .1637 1 1.00 2.83 .1638 1 1.00 2.69 .1639 1 1.00 2.68 .1640 1 1.00 2.69 .1641 1 1.00 2.73 .1642 1 1.00 2.68 .1643 1 1.00 2.65 .1644 1 1.00 2.65 .1645 1 1.00 2.76 .1646 1 1.00 2.80 .1647 1 1.00 2.53 .1648 1 1.00 2.77 .1649 1 1.00 2.85 .1650 1 1.00 2.83 .1651 1 1.00 2.97 .1652 1 1.00 2.92 .1653 1 1.00 2.77 .1654 1 1.00 2.66 .1655 1 1.00 2.83 .1656 1 1.00 2.76 .1657 1 1.00 2.54 .1658 1 1.00 2.64 .1659 1 1.00 2.68 .1660 1 1.00 2.93 .1661 1 1.00 2.77 .1662 1 1.00 2.68 .1663 1 1.00 2.81 .1664 1 1.00 2.76 .1665 1 1.00 2.68 .1666 1 1.00 2.76 .1667 1 1.00 2.87 .1668 2 1.00 2.72 .1669 1 1.00 3.56 .1670 1 1.00 2.68 .1671 1 1.00 2.94 .1672 1 1.00 2.64 .1673 1 1.00 2.69 .1674 2 1.00 2.56 .1675 1 1.00 2.67 .1676 1 1.00 2.74 .1677 1 1.00 2.72 .1678 1 1.00 2.73 .1679 2 1.00 2.67 .1680 1 1.00 2.82 .1681 1 1.00 2.85 .1682 1 1.00 2.92 .1683 1 1.00 2.86 .1684 1 1.00 2.78 .1685 1 1.00 2.80 .1686 1 1.00 2.88 .1687 1 1.00 2.89 .1688 1 1.00 2.78 .1689 1 1.00 3.01 .1690 1 1.00 3.01 .1691 1 1.00 2.75 .1692 1 1.00 2.78 .1693 1 1.00 2.87 .1694 1 1.00 2.72 .1695 1 1.00 2.89 .1696 1 1.00 2.81 .1697 1 1.00 3.04 .1698 1 1.00 2.75 .1699 1 1.00 2.95 .1700 1 1.00 2.84 .1701 1 1.00 2.88 .1702 1 1.00 2.80 .1703 1 1.00 3.04 .1704 2 1.00 2.74 .1705 1 1.00 2.81 .1706 1 1.00 2.72 .1707 1 1.00 2.66 .1708 1 1.00 2.75 .1709 1 1.00 2.80 .1710 2 1.00 2.77 .1711 1 1.00 2.92 .1712 1 1.00 2.74 .1713 1 1.00 2.83 .1714 1 1.00 2.77 .1715 1 1.00 2.92 .1716 1 1.00 2.83 .1717 1 1.00 2.75 .1718 1 1.00 2.83 .1719 1 1.00 2.80 .1720 1 1.00 2.70 .1721 1 1.00 2.70 .1722 1 1.00 2.73 .1723 1 1.00 2.83 .1724 1 1.00 2.84 .1725 1 1.00 2.72 .1726 2 1.00 2.82 .1727 1 1.00 3.01 .1728 1 1.00 2.64 .1729 1 1.00 2.74 .1730 1 1.00 2.70 .1731 1 1.00 2.85 .1732 1 1.00 2.68 .1733 1 1.00 2.74 .1734 1 1.00 2.82 .1735 1 1.00 2.77 .1736 1 1.00 2.77 .1737 1 1.00 2.80 .1738 1 1.00 2.81 .1739 1 1.00 2.76 .1740 1 1.00 2.86 .1741 1 1.00 2.80 .1742 1 1.00 2.66 .1743 2 1.00 2.72 .1744 1 1.00 2.79 .1745 1 1.00 2.89 .1746 1 1.00 2.80 .1747 2 1.00 2.71 .1748 1 1.00 2.77 .1749 1 1.00 2.72 .1750 1 1.00 2.66 .1751 1 1.00 2.72 .1752 1 1.00 2.69 .1753 1 1.00 2.73 .1754 1 1.00 2.82 .1755 1 1.00 2.70 .1756 1 1.00 2.60 .1757 1 1.00 2.73 .1758 1 1.00 2.81 .1759 1 1.00 2.78 .1760 1 1.00 2.57 .1761 1 1.00 2.75 .1762 1 1.00 2.89 .1763 1 1.00 2.72 .1764 1 1.00 2.78 .1765 1 1.00 2.62 .1766 1 1.00 2.66 .1767 1 1.00 2.66 .1768 1 1.00 2.77 .1769 1 1.00 2.81 .1770 1 1.00 2.84 .1771 1 1.00 2.75 .1772 1 1.00 2.86 .1773 1 1.00 2.82 .1774 1 1.00 2.71 .1775 1 1.00 2.83 .1776 1 1.00 2.88 .1777 1 1.00 2.76 .1778 1 1.00 2.80 .1779 1 1.00 2.74 .1780 1 1.00 2.76 .1781 1 1.00 2.79 .1782 1 1.00 2.74 .1783 1 1.00 2.74 .1784 1 1.00 2.92 .1785 1 1.00 2.77 .1786 1 1.00 2.78 .1787 1 1.00 2.87 .1788 1 1.00 2.74 .1789 1 1.00 2.85 .1790 1 1.00 2.88 .1791 1 1.00 2.75 .1792 1 1.00 2.81 .1793 1 1.00 2.63 .1794 1 1.00 2.72 .1795 1 1.00 2.58 .1796 1 1.00 2.94 .1797 1 1.00 2.63 .1798 1 1.00 2.68 .1799 1 1.00 2.79 .1800 2 1.00 2.60 .1801 1 1.00 2.46 .1802 1 1.00 2.75 .1803 1 1.00 2.62 .1804 1 1.00 2.62 .1805 1 1.00 2.71 .1806 1 1.00 2.58 .1807 1 1.00 2.53 .1808 1 1.00 2.67 .1809 1 1.00 2.68 .1810 1 1.00 2.69 .1811 1 1.00 2.74 .1812 1 1.00 2.85 .1813 1 1.00 2.71 .1814 1 1.00 2.77 .1815 1 1.00 2.75 .1816 1 1.00 2.86 .1817 1 1.00 2.80 .1818 1 1.00 2.70 .1819 1 1.00 2.78 .1820 1 1.00 2.78 .1821 1 1.00 2.78 .1822 1 1.00 2.76 .1823 1 1.00 2.98 .1824 1 1.00 2.96 .1825 1 1.00 3.01 .1826 1 1.00 2.87 .1827 1 1.00 2.93 .1828 1 1.00 2.84 .1829 1 1.00 2.85 .1830 1 1.00 2.73 .1831 1 1.00 2.82 .1832 1 1.00 2.86 .1833 1 1.00 2.72 .1834 1 1.00 2.87 .1835 1 1.00 2.86 .1836 1 1.00 2.82 .1837 1 1.00 2.91 .1838 1 1.00 2.86 .1839 1 1.00 3.02 .1840 1 1.00 2.84 .1841 1 1.00 2.88 .1842 1 1.00 2.87 .1843 1 1.00 2.86 .1844 1 1.00 2.94 .1845 1 1.00 2.97 .1846 1 1.00 3.01 .1847 1 1.00 3.13 .1848 1 1.00 2.95 .1849 1 1.00 2.87 .1850 1 1.00 2.87 .1851 1 1.00 2.89 .1852 1 1.00 2.87 .1853 1 1.00 2.83 .1854 1 1.00 2.78 .1855 1 1.00 2.79 .1856 1 1.00 2.80 .1857 1 1.00 2.82 .1858 1 1.00 2.87 .1859 1 1.00 2.86 .1860 1 1.00 2.84 .1861 1 1.00 2.87 .1862 1 1.00 2.80 .1863 1 1.00 2.91 .1864 2 1.00 2.94 .1865 1 1.00 3.10 .1866 1 1.00 2.91 .1867 1 1.00 2.85 .1868 1 1.00 2.99 .1869 1 1.00 2.97 .1870 1 1.00 2.99 .1871 1 1.00 3.12 .1872 1 1.00 2.94 .1873 1 1.00 2.73 .1874 1 1.00 3.01 .1875 1 1.00 2.96 .1876 1 1.00 2.94 .1877 1 1.00 2.82 .1878 1 1.00 2.87 .1879 1 1.00 2.88 .1880 1 1.00 2.88 .1881 1 1.00 2.73 .1882 1 1.00 2.89 .1883 1 1.00 3.08 .1884 1 1.00 2.78 .1885 2 1.00 2.94 .1886 1 1.00 2.86 .1887 1 1.00 2.95 .1888 1 1.00 2.87 .1889 1 1.00 2.83 .1890 1 1.00 3.04 .1891 1 1.00 2.99 .1892 1 1.00 3.00 .1893 1 1.00 3.07 .1894 1 1.00 2.90 .1895 1 1.00 3.08 .1896 1 1.00 3.08 .1897 1 1.00 3.01 .1898 1 1.00 2.92 .1899 1 1.00 2.86 .1900 1 1.00 2.94 .1901 1 1.00 3.12 .1902 1 1.00 2.99 .1903 1 1.00 3.00 .1904 1 1.00 3.07 .1905 1 1.00 3.05 .1906 1 1.00 3.09 .1907 1 1.00 3.07 .1908 1 1.00 3.13 .1909 1 1.00 3.32 .1910 1 1.00 3.08 .1911 1 1.00 3.02 .1912 1 1.00 3.02 .1913 1 1.00 2.98 .1914 1 1.00 3.02 .1915 1 1.00 3.09 .1916 1 1.00 2.96 .1917 1 1.00 3.11 .1918 1 1.00 3.00 .1919 1 1.00 3.12 .1920 1 1.00 3.12 .1921 1 1.00 3.18 .1922 1 1.00 3.10 .1923 1 1.00 2.90 .1924 1 1.00 2.99 .1925 1 1.00 3.28 .1926 1 1.00 2.93 .1927 1 1.00 2.98 .1928 1 1.00 3.10 .1929 1 1.00 3.02 .1930 1 1.00 3.03 .1931 1 1.00 2.95 .1932 1 1.00 3.04 .1933 1 1.00 3.10 .1934 1 1.00 3.12 .1935 1 1.00 3.00 .1936 1 1.00 3.19 .1937 1 1.00 3.09 .1938 1 1.00 3.05 .1939 1 1.00 3.16 .1940 1 1.00 3.09 .1941 1 1.00 3.24 .1942 1 1.00 3.11 .1943 1 1.00 3.27 .1944 1 1.00 3.12 .1945 1 1.00 3.14 .1946 1 1.00 3.11 .1947 1 1.00 3.08 .1948 1 1.00 3.08 .1949 1 1.00 3.07 .1950 1 1.00 3.13 .1951 1 1.00 3.01 .1952 1 1.00 3.15 .1953 1 1.00 3.09 .1954 1 1.00 2.99 .1955 1 1.00 3.07 .1956 1 1.00 3.09 .1957 1 1.00 3.22 .1958 1 1.00 3.35 .1959 1 1.00 3.03 .1960 1 1.00 3.33 .1961 1 1.00 3.33 .1962 1 1.00 3.18 .1963 1 1.00 3.07 .1964 1 1.00 3.12 .1965 1 1.00 3.28 .1966 1 1.00 3.39 .1967 1 1.00 3.12 .1968 1 1.00 3.20 .1969 1 1.00 3.09 .1970 1 1.00 3.21 .1971 1 1.00 3.15 .1972 1 1.00 3.06 .1973 1 1.00 3.10 .1974 1 1.00 3.09 .1975 1 1.00 3.02 .1976 1 1.00 3.07 .1977 1 1.00 3.22 .1978 1 1.00 3.16 .1979 1 1.00 3.12 .1980 1 1.00 3.07 .1981 1 1.00 3.08 .1982 1 1.00 3.23 .1983 1 1.00 3.01 .1984 1 1.00 3.28 .1985 1 1.00 3.02 .1986 1 1.00 3.25 .1987 1 1.00 3.08 .1988 2 1.00 3.31 .1989 1 1.00 3.08 .1990 1 1.00 3.23 .1991 1 1.00 3.07 .1992 1 1.00 3.06 .1993 1 1.00 3.21 .1994 1 1.00 3.14 .1995 1 1.00 3.26 .1996 1 1.00 3.09 .1997 1 1.00 3.34 .1998 1 1.00 3.02 .1999 1 1.00 3.10 .2000 1 1.00 3.27 .2001 1 1.00 3.19 .2002 1 1.00 3.30 .2003 1 1.00 3.13 .2004 1 1.00 3.24 .2005 1 1.00 3.35 .2006 1 1.00 3.32 .2007 1 1.00 3.16 .2008 1 1.00 3.01 .2009 1 1.00 3.03 .2010 1 1.00 3.25 .2011 1 1.00 3.22 .2012 1 1.00 3.02 .2013 1 1.00 3.26 .2014 1 1.00 3.04 .2015 1 1.00 3.05 .2016 1 1.00 3.05 .2017 1 1.00 2.91 .2018 1 1.00 3.01 .2019 1 1.00 3.10 .2020 1 1.00 3.37 .2021 1 1.00 2.90 .2022 1 1.00 3.17 .2023 1 1.00 3.10 .2024 1 1.00 3.13 .2025 1 1.00 3.20 .2026 1 1.00 2.95 .2027 1 1.00 3.16 .2028 1 1.00 3.19 .2029 1 1.00 3.19 .2030 1 1.00 2.90 .2031 1 1.00 2.98 .2032 1 1.00 3.11 .2033 1 1.00 3.09 .2034 1 1.00 2.99 .2035 1 1.00 2.90 .2036 1 1.00 3.09 .2037 1 1.00 2.76 .2038 1 1.00 3.23 .2039 1 1.00 2.97 .2040 1 1.00 2.89 .2041 1 1.00 2.91 .2042 1 1.00 2.92 .2043 1 1.00 3.09 .2044 1 1.00 3.08 .2045 1 1.00 3.10 .2046 1 1.00 3.07 .2047 1 1.00 2.99 EXTRACT_IMAGE: r1: masked 257 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITFLATWIDTH: r1: Median spatial widths = 0.93 0.98 0.91 0.92 pix (LL LR UL UR) SPCALIB: r1: Using Cubic, median chi squareds: vs SPCALIB: r1: Found 0 bright pixels in extracted flat sdR-r1-00034591.fit SPCALIB: r1: Extracting arc # 1 of 2 SPCALIB: r1: Reading arc sdR-r1-00034586.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.88324 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1191.64 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1171. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.64165 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1240.64 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1220. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Fraction of bad pixels in arc = 4.17233e-05 SPCALIB: r1: Arc sdR-r1-00034586.fit paired with flat sdR-r1-00034585.fit MATCH_TRACE: r1: Iteration: 0 Pixels Rejected: 8282 Finished? 0 MATCH_TRACE: r1: Iteration: 1 Pixels Rejected: 381 Finished? 0 MATCH_TRACE: r1: Iteration: 2 Pixels Rejected: 88 Finished? 0 MATCH_TRACE: r1: Iteration: 3 Pixels Rejected: 16 Finished? 0 MATCH_TRACE: r1: Iteration: 4 Pixels Rejected: 3 Finished? 0 MATCH_TRACE: r1: Iteration: 5 Pixels Rejected: 4 Finished? 0 MATCH_TRACE: r1: Iteration: 6 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: r1: Iteration: 7 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r1: Iteration: 8 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r1: Iteration: 9 Pixels Rejected: 0 Finished? 1 SPCALIB: r1: Shifting traces with match_trace -0.0103760 SPCALIB: r1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 1.02 1.34 .0001 1 1.02 1.19 .0002 1 1.02 1.09 .0003 1 1.02 1.00 .0004 1 1.02 1.01 .0005 1 1.02 1.01 .0006 1 1.02 1.06 .0007 1 1.02 1.04 .0008 1 1.02 1.09 .0009 1 1.02 1.06 .0010 1 1.02 1.09 .0011 1 1.02 1.14 .0012 1 1.02 1.21 .0013 3 1.02 1.23 .0014 1 1.02 1.32 .0015 1 1.02 1.25 .0016 1 1.02 1.18 .0017 1 1.02 0.93 .0018 2 1.02 0.94 .0019 3 1.02 0.95 .0020 3 1.02 0.98 .0021 3 1.02 1.01 .0022 3 1.02 1.05 .0023 3 1.02 0.99 .0024 1 1.02 1.01 .0025 1 1.02 0.98 .0026 1 1.02 0.98 .0027 1 1.01 1.00 .0028 1 1.01 0.99 .0029 1 1.01 0.98 .0030 1 1.01 0.90 .0031 1 1.01 1.00 .0032 1 1.01 0.91 .0033 1 1.01 1.08 .0034 2 1.01 1.03 .0035 2 1.01 0.95 .0036 1 1.01 1.22 .0037 1 1.01 1.16 .0038 1 1.01 1.20 .0039 1 1.01 1.16 .0040 1 1.01 1.20 .0041 1 1.01 1.18 .0042 1 1.01 1.19 .0043 1 1.01 1.19 .0044 1 1.01 1.30 .0045 1 1.01 1.18 .0046 1 1.01 1.32 .0047 1 1.01 1.24 .0048 1 1.01 1.22 .0049 1 1.01 1.22 .0050 1 1.01 1.19 .0051 1 1.01 1.18 .0052 1 1.01 1.37 .0053 1 1.01 1.43 .0054 1 1.01 1.68 .0055 1 1.01 1.75 .0056 1 1.01 1.70 .0057 1 1.01 1.83 .0058 1 1.01 1.57 .0059 1 1.01 1.23 .0060 1 1.01 1.19 .0061 1 1.01 1.19 .0062 1 1.01 1.15 .0063 1 1.01 1.15 .0064 1 1.01 1.26 .0065 1 1.01 1.20 .0066 1 1.01 1.23 .0067 2 1.01 1.26 .0068 1 1.01 1.32 .0069 1 1.01 1.23 .0070 1 1.01 1.25 .0071 2 1.01 1.30 .0072 1 1.01 1.49 .0073 1 1.01 1.43 .0074 1 1.01 1.67 .0075 1 1.01 1.58 .0076 1 1.01 1.67 .0077 1 1.01 1.62 .0078 1 1.01 1.34 .0079 1 1.00 1.04 .0080 1 1.00 1.04 .0081 1 1.00 1.08 .0082 1 1.00 1.15 .0083 1 1.00 1.22 .0084 1 1.00 1.04 .0085 1 1.00 1.17 .0086 1 1.00 1.29 .0087 1 1.00 1.31 .0088 1 1.00 1.28 .0089 1 1.00 1.42 .0090 1 1.00 1.29 .0091 1 1.00 1.27 .0092 1 1.00 1.30 .0093 1 1.00 1.30 .0094 2 1.00 1.42 .0095 1 1.00 1.42 .0096 1 1.00 1.39 .0097 1 1.00 1.45 .0098 1 1.00 1.54 .0099 1 1.00 1.67 .0100 1 1.00 2.00 .0101 1 1.00 2.08 .0102 1 1.00 1.90 .0103 1 1.00 2.06 .0104 1 1.00 1.90 .0105 1 1.00 1.95 .0106 1 1.00 1.92 .0107 1 1.00 1.87 .0108 1 1.00 2.03 .0109 1 1.00 1.91 .0110 1 1.00 2.11 .0111 2 1.00 2.22 .0112 2 1.00 2.23 .0113 2 1.00 2.06 .0114 1 1.00 2.41 .0115 1 1.00 2.66 .0116 1 1.00 3.46 .0117 1 1.00 3.28 .0118 1 1.00 3.52 .0119 1 1.00 4.01 .0120 1 1.00 3.42 .0121 1 1.00 1.32 .0122 1 1.00 1.26 .0123 1 1.00 1.12 .0124 1 1.00 1.22 .0125 1 1.00 1.14 .0126 1 1.00 1.13 .0127 1 1.00 1.13 .0128 1 1.00 1.17 .0129 1 1.00 1.13 .0130 1 1.00 1.18 .0131 1 1.00 1.07 .0132 1 1.00 1.15 .0133 1 1.00 1.17 .0134 1 1.00 1.21 .0135 1 1.00 1.31 .0136 1 1.00 1.32 .0137 2 1.00 1.36 .0138 2 0.99 1.39 .0139 3 0.99 1.53 .0140 2 0.99 1.54 .0141 1 0.99 1.15 .0142 1 0.99 1.03 .0143 1 0.99 1.09 .0144 1 0.99 0.95 .0145 1 0.99 1.03 .0146 1 0.99 1.10 .0147 1 0.99 1.02 .0148 1 0.99 1.01 .0149 1 0.99 1.06 .0150 1 0.99 1.03 .0151 1 0.99 1.05 .0152 1 0.99 1.08 .0153 1 0.99 1.12 .0154 1 0.99 1.05 .0155 1 0.99 1.15 .0156 1 0.99 1.11 .0157 1 0.99 1.18 .0158 1 0.99 1.24 .0159 1 0.99 1.19 .0160 1 0.99 1.21 .0161 1 0.99 1.19 .0162 1 0.99 1.23 .0163 1 0.99 1.20 .0164 1 0.99 1.18 .0165 1 0.99 1.21 .0166 1 0.99 1.30 .0167 1 0.99 1.32 .0168 1 0.99 1.31 .0169 1 0.99 1.38 .0170 1 0.99 1.37 .0171 1 0.99 1.61 .0172 1 0.99 1.61 .0173 1 0.99 1.81 .0174 1 0.99 1.77 .0175 1 0.99 2.02 .0176 1 0.99 2.18 .0177 1 0.99 1.59 .0178 1 0.99 1.41 .0179 1 0.99 1.42 .0180 1 0.99 1.43 .0181 1 0.99 1.58 .0182 2 0.99 1.60 .0183 1 0.99 1.66 .0184 1 0.99 1.95 .0185 1 0.99 2.00 .0186 1 0.99 2.27 .0187 1 0.99 2.61 .0188 1 0.99 2.65 .0189 1 0.99 2.64 .0190 1 0.99 2.81 .0191 1 0.99 2.66 .0192 1 0.99 2.66 .0193 1 0.99 2.51 .0194 2 0.99 2.48 .0195 1 0.99 2.69 .0196 1 0.99 2.86 .0197 1 0.99 2.96 .0198 1 0.99 2.92 .0199 1 0.99 2.95 .0200 1 0.99 3.50 .0201 1 0.99 4.23 .0202 2 0.99 5.25 .0203 1 0.98 4.71 .0204 1 0.98 4.89 .0205 1 0.98 5.38 .0206 2 0.98 4.54 .0207 1 0.98 2.68 .0208 1 0.98 2.60 .0209 1 0.98 2.75 .0210 1 0.98 2.75 .0211 1 0.98 2.88 .0212 1 0.98 2.95 .0213 1 0.98 3.07 .0214 1 0.98 3.76 .0215 1 0.98 4.66 .0216 1 0.98 5.79 .0217 1 0.98 5.82 .0218 1 0.98 5.98 .0219 1 0.98 7.20 .0220 1 0.98 6.58 .0221 1 0.98 3.61 .0222 1 0.98 3.05 .0223 1 0.98 3.00 .0224 2 0.98 3.23 .0225 1 0.98 3.06 .0226 1 0.98 3.33 .0227 1 0.98 3.48 .0228 1 0.98 3.87 .0229 1 0.98 3.87 .0230 1 0.98 4.84 .0231 1 0.98 5.01 .0232 1 0.98 5.64 .0233 1 0.98 6.96 .0234 1 0.98 6.33 .0235 1 0.98 6.16 .0236 1 0.98 6.21 .0237 1 0.98 6.06 .0238 2 0.98 5.50 .0239 1 0.98 5.56 .0240 1 0.98 6.09 .0241 1 0.98 6.26 .0242 1 0.98 6.26 .0243 1 0.98 6.46 .0244 1 0.98 6.15 .0245 1 0.98 8.04 .0246 1 0.98 9.76 .0247 1 0.98 13.20 .0248 1 0.98 10.09 .0249 1 0.98 10.83 .0250 1 0.98 12.12 .0251 1 0.98 9.34 .0252 1 0.98 2.82 .0253 1 0.98 2.57 .0254 1 0.98 2.75 .0255 1 0.98 2.57 .0256 1 0.98 2.59 .0257 1 0.98 2.51 .0258 1 0.98 2.64 .0259 1 0.98 3.29 .0260 1 0.98 4.03 .0261 1 0.98 4.01 .0262 1 0.98 3.55 .0263 1 0.98 4.29 .0264 2 0.98 3.72 .0265 1 0.98 1.62 .0266 1 0.98 1.19 .0267 1 0.98 1.30 .0268 1 0.98 1.27 .0269 1 0.98 1.37 .0270 1 0.98 1.38 .0271 1 0.98 1.43 .0272 1 0.98 1.40 .0273 1 0.98 1.36 .0274 1 0.98 1.41 .0275 1 0.98 1.38 .0276 1 0.98 1.41 .0277 1 0.97 1.31 .0278 1 0.97 1.51 .0279 2 0.97 1.73 .0280 2 0.97 1.64 .0281 1 0.97 2.02 .0282 1 0.97 2.18 .0283 2 0.97 1.90 .0284 1 0.97 1.97 .0285 1 0.97 2.03 .0286 1 0.97 1.80 .0287 1 0.97 1.85 .0288 1 0.97 1.90 .0289 1 0.97 1.99 .0290 1 0.97 1.90 .0291 1 0.97 1.83 .0292 1 0.97 1.88 .0293 1 0.97 2.04 .0294 1 0.97 2.52 .0295 1 0.97 3.09 .0296 1 0.97 3.15 .0297 1 0.97 3.37 .0298 1 0.97 3.90 .0299 1 0.97 3.73 .0300 1 0.97 1.98 .0301 1 0.97 2.10 .0302 1 0.97 2.28 .0303 1 0.97 2.22 .0304 1 0.97 2.12 .0305 1 0.97 2.08 .0306 1 0.97 2.16 .0307 1 0.97 2.44 .0308 1 0.97 2.33 .0309 1 0.97 2.40 .0310 1 0.97 2.44 .0311 1 0.97 2.71 .0312 1 0.97 3.01 .0313 1 0.97 3.65 .0314 1 0.97 4.17 .0315 1 0.97 4.05 .0316 1 0.97 3.77 .0317 1 0.97 4.59 .0318 1 0.97 3.70 .0319 1 0.97 3.40 .0320 1 0.97 3.77 .0321 1 0.97 3.98 .0322 1 0.97 3.89 .0323 1 0.97 3.97 .0324 1 0.97 3.72 .0325 1 0.97 4.11 .0326 1 0.97 5.29 .0327 1 0.97 7.10 .0328 1 0.97 6.09 .0329 1 0.97 5.81 .0330 1 0.97 7.91 .0331 1 0.97 6.70 .0332 1 0.97 1.63 .0333 1 0.97 1.41 .0334 1 0.97 1.49 .0335 1 0.97 1.54 .0336 1 0.97 1.63 .0337 1 0.97 1.76 .0338 1 0.97 2.24 .0339 1 0.97 2.70 .0340 1 0.97 2.81 .0341 1 0.97 2.85 .0342 1 0.97 3.73 .0343 1 0.97 3.32 .0344 1 0.97 3.41 .0345 1 0.97 3.78 .0346 1 0.97 4.28 .0347 1 0.97 4.24 .0348 1 0.97 3.95 .0349 1 0.97 3.63 .0350 1 0.97 4.11 .0351 1 0.97 4.58 .0352 1 0.97 5.08 .0353 1 0.97 4.83 .0354 1 0.97 5.30 .0355 1 0.97 6.17 .0356 1 0.97 5.16 .0357 1 0.97 5.39 .0358 1 0.97 6.84 .0359 1 0.97 6.39 .0360 1 0.97 5.94 .0361 1 0.97 6.51 .0362 1 0.97 5.60 .0363 1 0.96 5.72 .0364 1 0.96 6.06 .0365 1 0.96 6.11 .0366 1 0.96 5.83 .0367 1 0.96 6.05 .0368 1 0.96 6.09 .0369 1 0.96 7.85 .0370 1 0.96 9.26 .0371 1 0.96 12.51 .0372 1 0.96 9.30 .0373 1 0.96 11.14 .0374 1 0.96 13.94 .0375 1 0.96 8.79 .0376 1 0.96 4.18 .0377 1 0.96 4.19 .0378 1 0.96 4.34 .0379 1 0.96 4.47 .0380 1 0.96 4.66 .0381 1 0.96 7.10 .0382 1 0.96 7.32 .0383 1 0.96 7.54 .0384 1 0.96 9.35 .0385 1 0.96 9.56 .0386 1 0.96 11.52 .0387 1 0.96 13.07 .0388 1 0.96 13.86 .0389 1 0.96 16.92 .0390 1 0.96 18.79 .0391 1 0.96 17.02 .0392 1 0.96 17.49 .0393 1 0.96 16.55 .0394 1 0.96 16.17 .0395 1 0.96 16.76 .0396 1 0.96 17.58 .0397 1 0.96 16.50 .0398 1 0.96 19.01 .0399 1 0.96 19.49 .0400 1 0.96 21.19 .0401 1 0.96 27.45 .0402 1 0.96 34.94 .0403 1 0.96 31.43 .0404 1 0.96 34.72 .0405 1 0.96 37.39 .0406 1 0.96 28.17 .0407 1 0.96 23.16 .0408 1 0.96 25.18 .0409 1 0.96 24.91 .0410 1 0.96 24.64 .0411 1 0.96 25.02 .0412 1 0.96 26.95 .0413 1 0.96 33.34 .0414 1 0.96 44.98 .0415 1 0.96 33.98 .0416 1 0.96 34.37 .0417 1 0.96 46.14 .0418 1 0.96 40.41 .0419 1 0.96 7.45 .0420 1 0.96 5.92 .0421 1 0.96 4.58 .0422 1 0.96 3.67 .0423 1 0.96 2.84 .0424 1 0.96 2.37 .0425 1 0.96 2.29 .0426 1 0.96 1.92 .0427 1 0.96 1.55 .0428 1 0.96 1.59 .0429 2 0.96 1.60 .0430 1 0.96 1.46 .0431 1 0.96 1.37 .0432 1 0.96 1.41 .0433 1 0.96 1.22 .0434 2 0.96 1.31 .0435 1 0.96 1.29 .0436 1 0.96 1.29 .0437 1 0.96 1.40 .0438 1 0.96 1.31 .0439 1 0.96 1.28 .0440 1 0.96 1.40 .0441 1 0.96 1.27 .0442 1 0.96 1.10 .0443 1 0.96 1.20 .0444 1 0.96 1.15 .0445 1 0.96 1.16 .0446 1 0.96 1.28 .0447 1 0.96 1.31 .0448 1 0.96 2.14 .0449 1 0.96 2.41 .0450 1 0.96 2.88 .0451 1 0.96 3.40 .0452 1 0.96 3.57 .0453 1 0.96 4.22 .0454 1 0.96 4.83 .0455 1 0.96 5.68 .0456 1 0.96 5.93 .0457 1 0.96 6.10 .0458 1 0.96 5.93 .0459 1 0.96 5.74 .0460 1 0.96 5.57 .0461 1 0.96 6.07 .0462 1 0.96 5.87 .0463 1 0.96 5.95 .0464 1 0.96 5.98 .0465 2 0.96 6.90 .0466 1 0.96 7.43 .0467 1 0.96 8.33 .0468 1 0.95 11.59 .0469 1 0.95 12.51 .0470 1 0.95 11.37 .0471 1 0.95 12.01 .0472 1 0.95 10.73 .0473 1 0.95 12.48 .0474 1 0.95 12.72 .0475 1 0.95 11.69 .0476 1 0.95 11.08 .0477 1 0.95 11.38 .0478 1 0.95 12.02 .0479 1 0.95 16.39 .0480 1 0.95 21.65 .0481 1 0.95 17.78 .0482 1 0.95 15.31 .0483 1 0.95 22.03 .0484 1 0.95 20.22 .0485 1 0.95 4.86 .0486 1 0.95 4.54 .0487 1 0.95 4.08 .0488 1 0.95 3.92 .0489 1 0.95 3.41 .0490 1 0.95 3.33 .0491 1 0.95 3.65 .0492 2 0.95 3.80 .0493 1 0.95 4.30 .0494 1 0.95 3.55 .0495 1 0.95 3.63 .0496 1 0.95 4.69 .0497 1 0.95 6.29 .0498 1 0.95 4.60 .0499 1 0.95 5.32 .0500 1 0.95 6.22 .0501 1 0.95 3.42 .0502 1 0.95 1.35 .0503 1 0.95 1.22 .0504 1 0.95 1.27 .0505 1 0.95 1.26 .0506 1 0.95 1.26 .0507 1 0.95 1.31 .0508 1 0.95 1.54 .0509 1 0.95 1.69 .0510 1 0.95 1.88 .0511 1 0.95 1.98 .0512 1 0.95 2.10 .0513 1 0.95 2.20 .0514 1 0.95 2.30 .0515 1 0.95 2.61 .0516 1 0.95 2.67 .0517 1 0.95 2.55 .0518 1 0.95 2.41 .0519 1 0.95 2.49 .0520 1 0.95 2.43 .0521 1 0.95 2.29 .0522 1 0.95 2.45 .0523 1 0.95 2.43 .0524 1 0.95 2.74 .0525 1 0.95 3.10 .0526 1 0.95 3.13 .0527 1 0.95 4.35 .0528 1 0.95 4.60 .0529 1 0.95 4.47 .0530 1 0.95 4.04 .0531 1 0.95 3.91 .0532 1 0.95 4.19 .0533 1 0.95 4.26 .0534 1 0.95 4.19 .0535 1 0.95 3.85 .0536 1 0.95 4.12 .0537 1 0.95 5.31 .0538 2 0.95 7.31 .0539 1 0.95 6.70 .0540 1 0.95 5.95 .0541 1 0.95 8.58 .0542 1 0.95 6.79 .0543 1 0.95 1.50 .0544 1 0.95 1.34 .0545 1 0.95 1.23 .0546 1 0.95 1.28 .0547 1 0.95 1.22 .0548 1 0.95 1.19 .0549 1 0.95 1.03 .0550 1 0.95 1.09 .0551 1 0.95 1.08 .0552 1 0.95 1.10 .0553 1 0.95 1.06 .0554 1 0.95 1.15 .0555 1 0.95 1.19 .0556 1 0.95 1.38 .0557 2 0.95 1.84 .0558 1 0.95 2.13 .0559 1 0.95 2.40 .0560 1 0.95 2.84 .0561 1 0.95 3.05 .0562 1 0.95 3.45 .0563 1 0.95 3.70 .0564 1 0.95 3.84 .0565 1 0.95 4.22 .0566 1 0.95 3.97 .0567 1 0.95 4.02 .0568 1 0.95 3.89 .0569 1 0.95 4.12 .0570 1 0.95 3.96 .0571 2 0.95 3.90 .0572 1 0.95 3.78 .0573 1 0.95 4.15 .0574 1 0.95 4.75 .0575 1 0.95 5.38 .0576 1 0.95 5.18 .0577 1 0.95 7.40 .0578 1 0.95 8.12 .0579 1 0.95 6.99 .0580 1 0.95 6.80 .0581 1 0.95 6.64 .0582 1 0.95 7.57 .0583 1 0.95 7.44 .0584 1 0.95 7.68 .0585 1 0.95 8.07 .0586 1 0.95 8.24 .0587 1 0.95 11.03 .0588 1 0.95 14.52 .0589 2 0.95 11.93 .0590 2 0.95 12.45 .0591 1 0.95 15.98 .0592 1 0.95 5.58 .0593 1 0.95 3.11 .0594 1 0.95 2.78 .0595 1 0.95 2.74 .0596 1 0.95 2.68 .0597 1 0.95 2.90 .0598 1 0.95 3.20 .0599 1 0.95 3.39 .0600 1 0.94 3.50 .0601 1 0.94 4.71 .0602 1 0.94 5.82 .0603 1 0.94 5.06 .0604 1 0.94 4.73 .0605 1 0.94 4.71 .0606 1 0.94 4.99 .0607 1 0.94 4.96 .0608 1 0.94 5.17 .0609 2 0.94 5.69 .0610 1 0.94 5.24 .0611 1 0.94 7.11 .0612 1 0.94 9.01 .0613 1 0.94 5.88 .0614 1 0.94 6.80 .0615 1 0.94 8.98 .0616 1 0.94 3.40 .0617 1 0.94 1.48 .0618 1 0.94 1.40 .0619 1 0.94 1.33 .0620 1 0.94 1.33 .0621 1 0.94 1.31 .0622 1 0.94 1.11 .0623 1 0.94 1.05 .0624 1 0.94 1.16 .0625 1 0.94 1.10 .0626 1 0.94 1.12 .0627 1 0.94 1.07 .0628 1 0.94 1.10 .0629 1 0.94 1.09 .0630 1 0.94 1.09 .0631 1 0.94 1.04 .0632 1 0.94 1.09 .0633 1 0.94 1.08 .0634 1 0.94 1.07 .0635 1 0.94 1.09 .0636 1 0.94 1.03 .0637 1 0.94 1.08 .0638 1 0.94 0.97 .0639 1 0.94 1.17 .0640 1 0.94 1.13 .0641 1 0.94 1.04 .0642 1 0.94 1.07 .0643 1 0.94 1.06 .0644 1 0.94 1.13 .0645 1 0.94 1.06 .0646 1 0.94 1.08 .0647 1 0.94 1.01 .0648 1 0.94 1.11 .0649 1 0.94 1.00 .0650 1 0.94 1.04 .0651 2 0.94 1.14 .0652 2 0.94 1.04 .0653 1 0.94 1.06 .0654 1 0.94 0.98 .0655 1 0.94 1.09 .0656 1 0.94 1.09 .0657 1 0.94 1.02 .0658 2 0.94 1.23 .0659 1 0.94 1.05 .0660 1 0.94 1.10 .0661 1 0.94 1.12 .0662 1 0.94 1.04 .0663 1 0.94 1.02 .0664 1 0.94 1.13 .0665 3 0.94 1.11 .0666 1 0.94 1.07 .0667 1 0.94 1.06 .0668 1 0.94 1.04 .0669 1 0.94 1.07 .0670 3 0.94 1.06 .0671 1 0.94 1.15 .0672 1 0.94 1.00 .0673 1 0.94 1.02 .0674 1 0.94 1.15 .0675 1 0.94 1.06 .0676 1 0.94 1.04 .0677 1 0.94 1.02 .0678 1 0.94 1.06 .0679 1 0.94 0.97 .0680 1 0.94 1.05 .0681 1 0.94 1.08 .0682 1 0.94 1.10 .0683 1 0.94 1.05 .0684 1 0.94 1.11 .0685 1 0.94 1.04 .0686 1 0.94 1.15 .0687 1 0.94 1.07 .0688 1 0.94 0.99 .0689 1 0.94 1.07 .0690 1 0.94 1.03 .0691 1 0.94 1.01 .0692 1 0.94 0.99 .0693 1 0.94 1.03 .0694 1 0.94 1.07 .0695 1 0.94 1.06 .0696 1 0.94 1.07 .0697 1 0.94 1.05 .0698 2 0.94 1.07 .0699 2 0.94 1.21 .0700 1 0.94 1.04 .0701 1 0.94 1.08 .0702 1 0.94 1.10 .0703 2 0.94 1.05 .0704 1 0.94 1.16 .0705 1 0.94 1.12 .0706 1 0.94 1.09 .0707 2 0.94 1.20 .0708 1 0.94 1.10 .0709 1 0.94 1.12 .0710 1 0.94 1.10 .0711 1 0.94 1.17 .0712 1 0.94 1.36 .0713 1 0.94 2.09 .0714 1 0.94 2.46 .0715 1 0.94 2.75 .0716 1 0.94 2.97 .0717 1 0.94 3.22 .0718 1 0.94 3.43 .0719 1 0.94 3.85 .0720 1 0.94 4.52 .0721 1 0.94 4.61 .0722 1 0.94 4.35 .0723 1 0.94 4.22 .0724 1 0.94 4.26 .0725 1 0.94 3.92 .0726 1 0.94 4.01 .0727 1 0.94 3.81 .0728 1 0.94 3.98 .0729 1 0.94 3.79 .0730 1 0.94 4.60 .0731 1 0.94 4.34 .0732 1 0.94 5.13 .0733 1 0.94 7.80 .0734 1 0.94 8.26 .0735 1 0.94 6.71 .0736 1 0.94 7.29 .0737 1 0.94 6.94 .0738 1 0.94 6.81 .0739 1 0.94 6.96 .0740 1 0.94 7.77 .0741 1 0.94 8.71 .0742 1 0.94 12.31 .0743 1 0.94 10.70 .0744 1 0.94 8.19 .0745 1 0.94 13.62 .0746 1 0.94 9.02 .0747 1 0.94 1.78 .0748 1 0.94 1.73 .0749 1 0.94 1.42 .0750 1 0.94 1.29 .0751 1 0.94 1.29 .0752 1 0.94 1.29 .0753 1 0.94 1.21 .0754 1 0.94 1.19 .0755 1 0.94 1.28 .0756 1 0.94 1.19 .0757 1 0.94 1.13 .0758 1 0.94 1.13 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0.91 1.39 .1813 1 0.91 1.40 .1814 2 0.91 1.51 .1815 1 0.91 1.62 .1816 1 0.91 1.65 .1817 1 0.91 1.75 .1818 1 0.91 1.99 .1819 1 0.91 1.87 .1820 4 0.91 1.52 .1821 1 0.91 1.28 .1822 1 0.91 1.33 .1823 1 0.91 1.17 .1824 2 0.91 1.30 .1825 3 0.91 1.34 .1826 1 0.91 1.42 .1827 2 0.91 1.19 .1828 1 0.91 1.17 .1829 1 0.91 1.19 .1830 1 0.91 1.23 .1831 1 0.91 1.15 .1832 1 0.91 1.19 .1833 1 0.91 1.15 .1834 3 0.91 1.27 .1835 2 0.91 1.21 .1836 3 0.91 1.06 .1837 1 0.91 1.18 .1838 1 0.91 1.18 .1839 3 0.91 1.18 .1840 2 0.91 1.22 .1841 1 0.91 1.26 .1842 1 0.91 1.17 .1843 1 0.91 1.16 .1844 1 0.91 1.13 .1845 1 0.91 1.16 .1846 1 0.91 1.22 .1847 1 0.91 1.19 .1848 1 0.91 1.16 .1849 1 0.91 1.15 .1850 1 0.91 1.20 .1851 1 0.91 1.22 .1852 1 0.91 1.20 .1853 1 0.91 1.20 .1854 1 0.91 1.26 .1855 1 0.91 1.24 .1856 1 0.91 1.28 .1857 1 0.91 1.33 .1858 1 0.91 1.30 .1859 1 0.91 1.25 .1860 1 0.91 1.24 .1861 1 0.91 1.24 .1862 1 0.91 1.21 .1863 1 0.91 1.13 .1864 1 0.91 1.13 .1865 1 0.91 1.21 .1866 1 0.91 1.24 .1867 1 0.91 1.21 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0.91 1.13 .1924 1 0.91 1.12 .1925 2 0.91 1.22 .1926 2 0.91 1.23 .1927 1 0.91 1.14 .1928 1 0.91 1.16 .1929 1 0.91 1.22 .1930 1 0.91 1.13 .1931 1 0.91 1.13 .1932 1 0.91 1.13 .1933 1 0.91 1.11 .1934 1 0.91 1.08 .1935 1 0.91 1.10 .1936 1 0.91 1.18 .1937 1 0.91 1.26 .1938 1 0.91 1.17 .1939 3 0.91 1.19 .1940 1 0.91 1.36 .1941 2 0.91 1.31 .1942 2 0.91 1.30 .1943 1 0.91 1.17 .1944 3 0.91 1.08 .1945 1 0.91 1.21 .1946 1 0.91 1.14 .1947 1 0.91 1.14 .1948 1 0.91 1.11 .1949 1 0.91 1.17 .1950 1 0.91 1.15 .1951 3 0.91 1.16 .1952 2 0.91 1.15 .1953 1 0.91 1.13 .1954 1 0.91 1.10 .1955 1 0.91 1.09 .1956 1 0.91 1.15 .1957 1 0.91 1.12 .1958 1 0.91 1.25 .1959 1 0.91 1.15 .1960 1 0.91 1.16 .1961 1 0.91 1.12 .1962 1 0.91 1.17 .1963 1 0.91 1.20 .1964 1 0.91 1.16 .1965 1 0.91 1.14 .1966 1 0.91 1.21 .1967 1 0.91 1.22 .1968 1 0.91 1.22 .1969 1 0.91 1.15 .1970 1 0.91 1.20 .1971 1 0.91 1.13 .1972 1 0.91 1.18 .1973 1 0.91 1.15 .1974 1 0.91 1.26 .1975 1 0.91 1.18 .1976 2 0.91 1.22 .1977 2 0.91 1.18 .1978 1 0.91 1.17 .1979 1 0.91 1.05 .1980 1 0.91 1.12 .1981 1 0.91 1.19 .1982 1 0.91 1.19 .1983 1 0.91 1.18 .1984 1 0.91 1.12 .1985 1 0.91 1.24 .1986 1 0.91 1.11 .1987 1 0.91 1.15 .1988 1 0.91 1.19 .1989 1 0.91 1.16 .1990 1 0.91 1.24 .1991 2 0.91 1.30 .1992 1 0.91 1.20 .1993 1 0.91 1.37 .1994 3 0.91 1.13 .1995 1 0.91 1.16 .1996 1 0.91 1.17 .1997 1 0.91 1.26 .1998 1 0.91 1.14 .1999 1 0.91 1.24 .2000 1 0.91 1.20 .2001 1 0.91 1.24 .2002 1 0.91 1.19 .2003 1 0.91 1.17 .2004 1 0.91 1.12 .2005 1 0.91 1.15 .2006 1 0.91 1.18 .2007 1 0.91 1.14 .2008 1 0.91 1.17 .2009 3 0.91 1.24 .2010 1 0.91 1.44 .2011 1 0.91 1.19 .2012 2 0.91 1.16 .2013 1 0.91 1.15 .2014 1 0.91 1.08 .2015 1 0.91 1.16 .2016 1 0.91 1.15 .2017 1 0.91 1.17 .2018 1 0.91 1.15 .2019 1 0.91 1.21 .2020 1 0.91 1.23 .2021 1 0.91 1.17 .2022 1 0.91 1.25 .2023 1 0.91 1.21 .2024 2 0.91 1.20 .2025 1 0.91 1.24 .2026 1 0.91 1.18 .2027 1 0.91 1.12 .2028 2 0.91 1.16 .2029 2 0.91 1.17 .2030 2 0.91 1.26 .2031 1 0.91 1.30 .2032 1 0.91 1.19 .2033 2 0.91 1.38 .2034 3 0.91 1.09 .2035 2 0.91 1.15 .2036 3 0.91 1.24 .2037 1 0.91 1.20 .2038 1 0.91 1.14 .2039 1 0.91 1.21 .2040 1 0.91 1.13 .2041 2 0.91 1.13 .2042 1 0.91 1.21 .2043 1 0.91 1.22 .2044 1 0.91 1.13 .2045 1 0.91 1.11 .2046 1 0.91 1.20 .2047 1 0.91 1.09 EXTRACT_IMAGE: r1: masked 358 pixels SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r1: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r1: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Searching about coefficients = 3.86684 0.10142 -0.00449 -0.00022 ARCFIT_ITER: r1: Searching lags from -151 to 151 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Initial wavelength fit = 3.86684 0.10142 -0.00449 -0.00026 ARCFIT_GUESS: r1: Initial correlation = 0.759303 FITARCIMAGE_GLOBAL: r1: Best correlation = 0.759303 FITARCIMAGE_GLOBAL: r1: ASET = 3.86684 0.10142 -0.00449 -0.00026 SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Tracing 36 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 35 320 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Iterating flux-weighted centers . 0 320 0.131 . 1 320 0.128 . 2 320 0.137 . 3 320 0.136 . 4 320 0.130 . 5 320 0.125 . 6 320 0.133 . 7 320 0.135 . 8 320 0.134 . 9 320 0.130 . 10 320 0.137 . 11 320 0.144 . 12 320 0.128 . 13 320 0.133 . 14 320 0.134 . 15 320 0.129 . 16 320 0.125 . 17 320 0.137 . 18 320 0.127 . 19 320 0.133 . 20 320 0.131 . 21 320 0.137 . 22 320 0.137 . 23 320 0.127 . 24 320 0.142 . 25 320 0.132 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 26 31 216.48028 10.537083 0.38420559 -0.0000000 28.333650 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 26 33 190.07010 0.29921432 . 26 320 0.201 . 27 320 0.130 . 28 320 0.130 . 29 320 0.134 . 30 320 0.124 . 31 320 0.130 . 32 320 0.137 . 33 320 0.141 . 34 320 0.141 . 35 320 0.136 . 36 320 0.130 . 37 320 0.139 . 38 320 0.142 . 39 320 0.142 . 40 320 0.130 . 41 320 0.142 . 42 320 0.149 . 43 320 0.128 . 44 320 0.144 . 45 320 0.129 . 46 320 0.121 . 47 320 0.129 . 48 320 0.137 . 49 320 0.136 . 50 320 0.145 . 51 320 0.135 . 52 320 0.137 . 53 320 0.134 . 54 320 0.146 . 55 320 0.151 . 56 320 0.139 . 57 320 0.142 . 58 320 0.135 . 59 320 0.132 . 60 320 0.133 . 61 320 0.136 . 62 320 0.136 . 63 320 0.135 . 64 320 0.132 . 65 320 0.132 . 66 320 0.132 . 67 320 0.133 . 68 320 0.125 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 69 0 -1.7091526 3.6459255 0.66563475 0.75420332 8.4362257 1 . 69 320 0.142 . 70 320 0.132 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 71 0 -9.1409393 0.27996852 . 71 320 0.143 . 72 320 0.136 . 73 320 0.123 . 74 320 0.139 . 75 320 0.130 . 76 320 0.138 . 77 320 0.138 . 78 320 0.135 . 79 320 0.135 . 80 320 0.120 . 81 320 0.116 . 82 320 0.147 . 83 320 0.139 . 84 320 0.127 . 85 320 0.117 . 86 320 0.125 . 87 320 0.131 . 88 320 0.134 . 89 320 0.132 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -5.4102245 3.1831527 0.47744348 -0.0000000 9.1486449 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -3.7070366 2.9066270 1.2583463 -0.0000000 8.7608233 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 2 3.8631718 2.6125405 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 3 -13.149517 0.21961854 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -7.5578637 3.4022511 0.49159274 0.55690696 8.6760093 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -4.7814825 3.3967313 0.42737553 0.42610291 9.5117694 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -14.878905 3.9939233 0.42635236 -0.0000000 8.6025730 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 16 -24.862604 0.21824015 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 20 -14.049088 0.26402756 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 22 -2.4506784 4.7164488 0.74201626 0.93147699 8.6082007 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 23 -14.185998 3.6616985 0.87596565 -0.0000000 7.7699465 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 24 -11.431944 3.6724742 0.64128152 -0.0000000 7.7788787 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 25 -10.240589 2.5980312 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 26 4.4205331 2.8195311 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 27 -11.525844 2.7171333 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 28 -10.504914 3.2524128 1.6062636 -0.0000000 10.407292 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 29 -15.386164 4.3969094 0.32025805 0.36253406 10.119215 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 30 -21.564502 4.3033212 0.55407772 -0.0000000 9.0259018 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 31 -22.389391 4.8549488 0.40670896 0.50933059 9.0724004 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 32 -18.725636 3.5462646 141215.59 19744.594 4.2723943e+08 5 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 34 -19.380084 3.3540002 0.43082678 -0.0000000 10.598018 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 35 -15.764625 3.1531257 0.0000000 0.0000000 0.0000000 3 . 90 320 0.358 . 91 320 0.132 . 92 320 0.123 . 93 320 0.133 . 94 320 0.134 . 95 320 0.133 . 96 320 0.131 . 97 320 0.131 . 98 320 0.124 . 99 320 0.134 . 100 320 0.130 . 101 320 0.125 . 102 320 0.123 . 103 320 0.122 . 104 320 0.128 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 105 35 222.28245 0.25310142 . 105 320 0.133 . 106 320 0.133 . 107 320 0.131 . 108 320 0.132 . 109 320 0.137 . 110 320 0.130 . 111 320 0.134 . 112 320 0.142 . 113 320 0.137 . 114 320 0.133 . 115 320 0.143 . 116 320 0.129 . 117 320 0.147 . 118 320 0.139 . 119 320 0.143 . 120 320 0.129 . 121 320 0.128 . 122 320 0.137 . 123 320 0.131 . 124 320 0.139 . 125 320 0.126 . 126 320 0.145 . 127 320 0.123 . 128 320 0.134 . 129 320 0.133 . 130 320 0.141 . 131 320 0.127 . 132 320 0.125 . 133 320 0.134 . 134 320 0.142 . 135 320 0.135 . 136 320 0.124 . 137 320 0.138 . 138 320 0.129 . 139 320 0.134 . 140 320 0.128 . 141 320 0.143 . 142 320 0.154 . 143 320 0.134 . 144 320 0.134 . 145 320 0.141 . 146 320 0.146 . 147 320 0.147 . 148 320 0.133 . 149 320 0.130 . 150 320 0.129 . 151 320 0.126 . 152 320 0.127 . 153 320 0.134 . 154 320 0.136 . 155 320 0.144 . 156 320 0.140 . 157 320 0.138 . 158 320 0.135 . 159 320 0.133 . 160 320 0.138 . 161 320 0.145 . 162 320 0.138 . 163 320 0.141 . 164 320 0.146 . 165 320 0.135 . 166 320 0.145 . 167 320 0.140 . 168 320 0.129 . 169 320 0.133 . 170 320 0.137 . 171 320 0.145 . 172 320 0.130 . 173 320 0.086 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 174 30 265.76972 11.129267 0.55131186 0.0000000 1118167.8 1 . 174 320 0.185 . 175 320 0.124 . 176 320 0.133 . 177 320 0.143 . 178 320 0.139 . 179 320 0.126 . 180 320 0.134 . 181 320 0.144 . 182 320 0.147 . 183 320 0.134 . 184 320 0.128 . 185 320 0.140 . 186 320 0.138 . 187 320 0.126 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 188 30 259.29979 13.418062 3.7198800 0.80709111 49258.712 1 . 188 320 0.147 . 189 320 0.135 . 190 320 0.131 . 191 320 0.148 . 192 320 0.133 . 193 320 0.131 . 194 320 0.149 . 195 320 0.142 . 196 320 0.131 . 197 320 0.147 . 198 320 0.130 . 199 320 0.152 . 200 320 0.130 . 201 320 0.136 . 202 320 0.132 . 203 320 0.129 . 204 320 0.131 . 205 320 0.131 . 206 320 0.139 . 207 320 0.142 . 208 320 0.126 . 209 320 0.134 . 210 320 0.130 . 211 320 0.139 . 212 320 0.130 . 213 320 0.138 . 214 320 0.143 . 215 320 0.142 . 216 320 0.129 . 217 320 0.141 . 218 320 0.134 . 219 320 0.131 . 220 320 0.131 . 221 320 0.136 . 222 320 0.140 . 223 320 0.136 . 224 320 0.135 . 225 320 0.140 . 226 320 0.136 . 227 320 0.149 . 228 320 0.145 . 229 320 0.147 . 230 320 0.135 . 231 320 0.145 . 232 320 0.137 . 233 320 0.137 . 234 320 0.133 . 235 320 0.136 . 236 320 0.139 . 237 320 0.140 . 238 320 0.136 . 239 320 0.141 . 240 320 0.131 . 241 320 0.135 . 242 320 0.135 . 243 320 0.137 . 244 320 0.140 . 245 320 0.138 . 246 320 0.135 . 247 320 0.134 . 248 320 0.138 . 249 320 0.079 . 250 320 0.134 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -3.3966283 2.6775689 0.44720958 -0.0000000 7.9808014 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -3.8075063 2.6917767 0.35113078 -0.0000000 8.4897196 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -11.067652 3.2237434 0.47534036 -0.0000000 6.9177629 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -11.995156 3.2045922 1.2630452 -0.0000000 6.5652941 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 8 -0.0046368892 0.23646123 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 11 -42.044002 0.29154471 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 20 -2.1049704 4.2765898 0.69923729 0.80353552 8.6120391 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 22 -10.575238 4.4162447 0.46004368 0.56460022 7.9293533 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 23 1.3445689 3.0053051 0.97340106 -0.0000000 9.2848910 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 24 -10.737342 3.1247038 0.37406570 0.36099233 8.8891421 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 25 -3.0060680 0.27599246 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 26 -4.2824376 2.8670667 0.52570708 -0.0000000 9.4142696 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 27 -13.781397 2.9911255 0.60132713 -0.0000000 9.3547820 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 28 -7.0019618 4.0964878 0.62933990 0.78875789 8.4605959 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 29 -13.365983 0.24267920 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 30 -5.8171767 3.1047969 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 31 -12.563827 3.2650943 1.4359668 -0.0000000 10.048044 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 32 -16.060097 4.2075701 1.1636081 -0.0000000 8.8094342 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 33 -25.864710 3.9966376 0.44873901 -0.0000000 8.2977590 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 34 -16.204801 3.3015989 0.84460321 -0.0000000 10.143057 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 35 -13.108876 2.9740603 0.0000000 0.0000000 0.0000000 3 . 251 320 0.238 . 252 320 0.126 . 253 320 0.130 . 254 320 0.126 . 255 320 0.133 . 256 320 0.134 . 257 320 0.134 . 258 320 0.123 . 259 320 0.124 . 260 320 0.121 . 261 320 0.123 . 262 320 0.114 . 263 320 0.120 . 264 320 0.124 . 265 320 0.129 . 266 320 0.128 . 267 320 0.131 . 268 320 0.126 . 269 320 0.140 . 270 320 0.128 . 271 320 0.128 . 272 320 0.119 . 273 320 0.135 . 274 320 0.132 . 275 320 0.125 . 276 320 0.131 . 277 320 0.137 . 278 320 0.138 . 279 320 0.135 . 280 320 0.150 . 281 320 0.139 . 282 320 0.131 . 283 320 0.136 . 284 320 0.146 . 285 320 0.150 . 286 320 0.132 . 287 320 0.135 . 288 320 0.133 . 289 320 0.139 . 290 320 0.133 . 291 320 0.143 . 292 320 0.131 . 293 320 0.135 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 1 -2.9801058 0.28467249 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -3.1233771 3.2891386 0.72433831 -0.0000000 6.9151630 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 3 0.70513769 0.25539474 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 4 -6.6641784 2.6756094 0.53098126 -0.0000000 8.7552875 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 8 -39.172536 0.20520916 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 11 -22.191525 3.6550771 0.39686570 -0.0000000 8.1865471 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 20 -9.9735576 3.5956456 0.39529507 -0.0000000 7.9173872 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 23 -12.190678 0.20746810 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 24 -10.007093 2.8892154 0.68627944 -0.0000000 8.7337216 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 25 -9.2145694 2.7609802 0.53317453 -0.0000000 9.0051118 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 26 -1.8455507 2.5811133 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 27 -16.051265 3.3852344 0.38970126 0.42832045 9.0285469 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 28 -8.9245791 3.1901018 0.45159393 -0.0000000 10.059043 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 29 -29.537458 3.9229437 0.36266957 -0.0000000 8.5790672 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 30 -17.656856 3.6228129 0.47185792 0.53973646 11.465271 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 31 -12.761907 2.8719547 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 32 -18.435537 3.3621744 1.3834062 -0.0000000 10.041897 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 33 -19.150652 3.8519620 0.60415976 0.62968096 10.848593 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 34 -19.807218 3.2421813 0.71692455 -0.0000000 10.034563 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 35 -23.636494 3.1133035 66.908184 -0.0000000 969673.52 5 . 294 320 0.336 . 295 320 0.145 . 296 320 0.138 . 297 320 0.132 . 298 320 0.140 . 299 320 0.134 . 300 320 0.137 . 301 320 0.130 . 302 320 0.122 . 303 320 0.127 . 304 320 0.133 . 305 320 0.125 . 306 320 0.138 . 307 320 0.128 . 308 320 0.129 . 309 320 0.130 . 310 320 0.128 . 311 320 0.127 . 312 320 0.127 . 313 320 0.126 . 314 320 0.122 . 315 320 0.131 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 316 31 260.47807 10.691213 7.0185437 -0.0000000 230689.87 5 . 316 320 0.254 . 317 320 0.132 . 318 320 0.129 . 319 320 0.125 FITARCIMAGE_GLOBAL: r1: Discarding trace 0, at 5790.6630 with 193 centroids too close to an edge FITARCIMAGE_GLOBAL: r1: Line 1, at 5852.4880 Ang: ERR= 0.0155740 ERR_RMS= 0.0151716 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 2, at 5881.8950 Ang: ERR= 0.0142039 ERR_RMS= 0.00124790 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 3, at 5944.8340 Ang: ERR= 0.00797959 ERR_RMS= 0.0210978 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 4, at 6029.9970 Ang: ERR= 0.0153183 ERR_RMS= 0.00137181 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 5, at 6074.3380 Ang: ERR= 0.00765913 ERR_RMS= 0.0156594 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 6, at 6096.1630 Ang: ERR= 0.00598982 ERR_RMS= 0.0151260 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 7, at 6143.0630 Ang: ERR= 0.00403282 ERR_RMS= 0.00828689 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 8, at 6163.5940 Ang: ERR= 0.00688530 ERR_RMS= 0.0183466 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 9, at 6217.2810 Ang: ERR= 0.00852948 ERR_RMS= 0.0131294 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 10, at 6266.4950 Ang: ERR= 0.00516854 ERR_RMS= 0.0139129 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 11, at 6304.7890 Ang: ERR= 0.00848585 ERR_RMS= 0.0159384 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 12, at 6334.4280 Ang: ERR= 0.00399655 ERR_RMS= 0.00885447 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 13, at 6382.9920 Ang: ERR= 0.00370754 ERR_RMS= 0.00863623 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 14, at 6402.2460 Ang: ERR= 0.00241219 ERR_RMS= 0.00352574 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 15, at 6506.5280 Ang: ERR= 0.00315544 ERR_RMS= 0.00614708 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 16, at 6532.8820 Ang: ERR= 0.00586428 ERR_RMS= 0.0180134 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 17, at 6598.9530 Ang: ERR= 0.00502824 ERR_RMS= 0.0129760 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 18, at 6717.0430 Ang: ERR= 0.00465814 ERR_RMS= 0.0106102 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 19, at 6929.4670 Ang: ERR= 0.00387540 ERR_RMS= 0.00902521 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 20, at 7173.9380 Ang: ERR= 0.00855122 ERR_RMS= 0.0143884 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 21, at 7245.1670 Ang: ERR= 0.00396223 ERR_RMS= 0.00909227 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 22, at 7438.9000 Ang: ERR= 0.00845864 ERR_RMS= 0.0102727 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 23, at 7488.8710 Ang: ERR= 0.0156856 ERR_RMS= 0.0109030 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 24, at 7535.7740 Ang: ERR= 0.0177979 ERR_RMS= 0.00163364 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 25, at 7635.1060 Ang: ERR= 0.0292658 ERR_RMS= 0.0145094 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 26, at 8014.7860 Ang: ERR= 0.0739636 ERR_RMS= 0.0113793 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 27, at 8103.6930 Ang: ERR= 0.0552104 ERR_RMS= 0.00790842 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 28, at 8300.3260 Ang: ERR= 0.0242611 ERR_RMS= 0.00231559 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 29, at 8377.6065 Ang: ERR= 0.00956552 ERR_RMS= 0.0132385 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 30, at 8495.3598 Ang: ERR= 0.0137398 ERR_RMS= 0.00135678 pix, 8 masked. FITARCIMAGE_GLOBAL: r1: Line 31, at 8591.2583 Ang: ERR= 0.0256118 ERR_RMS= 0.00273078 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 32, at 8634.6470 Ang: ERR= 0.0276261 ERR_RMS= 0.00301655 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 33, at 8654.3831 Ang: ERR= 0.0174010 ERR_RMS= 0.0189438 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 34, at 8853.8670 Ang: ERR= 0.0407178 ERR_RMS= 0.00451175 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 35, at 9122.9674 Ang: ERR= 0.0819148 ERR_RMS= 0.0153487 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Number of good arc lines: 35 FITARCIMAGE_GLOBAL: r1: Number of arclines = 35 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 1 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 3 27 35 1 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 2 46 35 3 47 35 1 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 1 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 1 85 35 0 86 35 1 87 35 0 88 35 0 89 35 0 90 35 21 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 1 99 35 0 100 35 0 101 35 0 102 35 0 103 35 1 104 35 1 105 35 1 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 2 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 1 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 13 174 35 9 175 35 1 176 35 0 177 35 0 178 35 0 179 35 1 180 35 0 181 35 0 182 35 1 183 35 0 184 35 1 185 35 0 186 35 0 187 35 1 188 35 4 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 1 217 35 1 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 1 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 14 250 35 0 251 35 21 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 1 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 20 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 2 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 5 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 139 Pass 1 complete FITARCIMAGE_GLOBAL: r1: Number of arclines after bundle test = 35 FITARCLINES: r1: ncoeffs (x,y): 4 5 FITARCLINES: r1: fit rchi2: 0.082674592 FITARCLINES: r1: offset stddev: 320 2.2145209e-13 FITARCLINES: r1: scale stddev: 320 5.2558517e-13 FITARCLINES: r1: poly x,y,stddev: 0 0 5.2399126e-07 FITARCLINES: r1: poly x,y,stddev: 1 0 1.5609848e-06 FITARCLINES: r1: poly x,y,stddev: 2 0 1.2503203e-06 FITARCLINES: r1: poly x,y,stddev: 3 0 2.4993830e-06 FITARCLINES: r1: poly x,y,stddev: 0 1 3.7645413e-07 FITARCLINES: r1: poly x,y,stddev: 1 1 1.1258165e-06 FITARCLINES: r1: poly x,y,stddev: 2 1 9.0487130e-07 FITARCLINES: r1: poly x,y,stddev: 3 1 1.8080191e-06 FITARCLINES: r1: poly x,y,stddev: 0 2 2.6017676e-07 FITARCLINES: r1: poly x,y,stddev: 1 2 7.6351448e-07 FITARCLINES: r1: poly x,y,stddev: 2 2 6.0161031e-07 FITARCLINES: r1: poly x,y,stddev: 3 2 1.2048167e-06 FITARCLINES: r1: correcting per-fiber coefficients for fibers: 239 260 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: BADARC lines masked: 239 260 FITARCIMAGE_GLOBAL: r1: IVAR=0 centroids masked: 111 Final arcfit complete FITARCIMAGE_GLOBAL: r1: Time 82. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 3 1.00 7.06 .0001 2 1.00 7.82 .0002 2 1.00 8.65 .0003 4 1.00 6.65 .0004 3 1.00 7.80 .0005 2 1.00 8.26 .0006 2 1.00 8.14 .0007 2 1.00 8.26 .0008 3 1.00 8.72 .0009 4 1.00 7.55 .0010 2 1.00 7.79 .0011 2 1.00 7.88 .0012 2 1.00 7.52 .0013 3 1.00 6.87 .0014 2 1.00 7.88 .0015 2 1.00 8.21 .0016 2 1.00 8.34 .0017 2 1.00 7.81 .0018 3 1.00 7.52 .0019 3 1.00 7.81 .0020 2 1.00 7.42 .0021 2 1.00 7.72 .0022 3 1.00 7.12 .0023 3 1.00 7.36 .0024 3 1.00 7.23 .0025 3 1.00 7.03 .0026 2 1.00 7.47 .0027 2 1.00 7.96 .0028 2 1.00 8.55 .0029 3 1.00 7.00 .0030 3 1.00 7.88 .0031 3 1.00 7.58 .0032 2 1.00 7.49 .0033 2 1.00 7.30 .0034 3 1.00 7.24 .0035 3 1.00 7.09 .0036 3 1.00 7.34 .0037 3 1.00 7.29 .0038 3 1.00 7.87 .0039 3 1.00 7.05 .0040 3 1.00 7.47 .0041 3 1.00 7.75 .0042 4 1.00 7.42 .0043 3 1.00 7.84 .0044 2 1.00 8.51 .0045 4 1.00 5.81 .0046 3 1.00 7.05 .0047 3 1.00 8.70 .0048 3 1.00 7.10 .0049 3 1.00 7.06 .0050 3 1.00 7.08 .0051 2 1.00 8.79 .0052 2 1.00 9.24 .0053 3 1.00 6.75 .0054 3 1.00 6.59 .0055 3 1.00 8.49 .0056 2 1.00 8.28 .0057 2 1.00 8.49 .0058 3 1.00 6.87 .0059 3 1.00 7.01 .0060 4 1.00 6.33 .0061 3 1.00 7.14 .0062 3 1.00 7.43 .0063 2 1.00 7.77 .0064 3 1.00 7.42 .0065 3 1.00 6.40 .0066 3 1.00 7.61 .0067 3 1.00 6.94 .0068 3 1.00 7.03 .0069 3 1.00 7.15 .0070 3 1.00 7.40 .0071 2 1.00 7.66 .0072 3 1.00 7.52 .0073 3 1.00 6.99 .0074 3 1.00 7.14 .0075 3 1.00 7.65 .0076 3 1.00 7.21 .0077 3 1.00 7.49 .0078 3 1.00 7.53 .0079 2 1.00 7.71 .0080 3 1.00 5.67 .0081 5 1.00 3.93 .0082 2 1.00 7.40 .0083 4 1.00 5.75 .0084 3 1.00 4.87 .0085 4 1.00 4.95 .0086 5 1.00 4.78 .0087 3 1.00 5.65 .0088 4 1.00 5.30 .0089 3 1.00 5.55 .0090 1 1.00 0.82 .0091 3 1.00 1.88 .0092 4 1.00 4.57 .0093 4 1.00 5.27 .0094 3 1.00 5.58 .0095 3 1.00 6.03 .0096 3 1.00 5.13 .0097 3 1.00 5.16 .0098 5 1.00 3.71 .0099 5 1.00 4.29 .0100 5 1.00 4.15 .0101 6 1.00 5.32 .0102 4 1.00 5.53 .0103 4 1.00 5.55 .0104 4 1.00 5.90 .0105 3 1.00 5.62 .0106 4 1.00 4.95 .0107 4 1.00 4.42 .0108 3 1.00 5.98 .0109 3 1.00 6.44 .0110 3 1.00 6.29 .0111 3 1.00 6.44 .0112 4 1.00 6.96 .0113 3 1.00 5.47 .0114 3 1.00 5.21 .0115 3 1.00 6.49 .0116 4 1.00 5.74 .0117 3 1.00 6.25 .0118 5 1.00 5.79 .0119 3 1.00 5.97 .0120 4 1.00 4.56 .0121 4 1.00 5.03 .0122 4 1.00 5.11 .0123 3 1.00 5.80 .0124 4 1.00 5.35 .0125 3 1.00 5.81 .0126 4 1.00 5.15 .0127 3 1.00 6.57 .0128 3 1.00 5.04 .0129 5 1.00 5.31 .0130 4 1.00 6.34 .0131 4 1.00 5.65 .0132 4 1.00 5.26 .0133 4 1.00 5.58 .0134 3 1.00 6.86 .0135 3 1.00 5.46 .0136 4 1.00 4.91 .0137 3 1.00 5.54 .0138 4 1.00 5.53 .0139 3 1.00 6.15 .0140 4 1.00 4.86 .0141 3 1.00 6.91 .0142 3 1.00 6.37 .0143 3 1.00 6.75 .0144 4 1.00 5.78 .0145 3 1.00 6.04 .0146 4 1.00 5.98 .0147 2 1.00 7.27 .0148 4 1.00 5.53 .0149 4 1.00 5.44 .0150 5 1.00 5.50 .0151 3 1.00 5.15 .0152 4 1.00 4.65 .0153 3 1.00 6.10 .0154 3 1.00 6.43 .0155 4 1.00 6.05 .0156 3 1.00 6.70 .0157 3 1.00 6.65 .0158 4 1.00 6.23 .0159 4 1.00 4.97 .0160 4 1.00 6.52 .0161 3 1.00 7.26 .0162 3 1.00 6.64 .0163 3 1.00 6.88 .0164 3 1.00 6.89 .0165 4 1.00 6.26 .0166 4 1.00 6.27 .0167 4 1.00 5.62 .0168 3 1.00 5.32 .0169 4 1.00 6.41 .0170 4 1.00 5.08 .0171 4 1.00 5.77 .0172 3 1.00 5.33 .0173 5 1.00 1.65 .0174 1 1.00 4.60 .0175 4 1.00 5.21 .0176 3 1.00 6.41 .0177 3 1.00 7.34 .0178 3 1.00 6.49 .0179 4 1.00 5.70 .0180 3 1.00 5.24 .0181 3 1.00 5.50 .0182 3 1.00 5.34 .0183 3 1.00 5.18 .0184 5 1.00 3.99 .0185 3 1.00 5.15 .0186 3 1.00 5.21 .0187 5 1.00 4.52 .0188 3 1.00 3.95 .0189 4 1.00 5.23 .0190 4 1.00 5.02 .0191 3 1.00 5.26 .0192 4 1.00 4.80 .0193 5 1.00 4.75 .0194 3 1.00 5.38 .0195 4 1.00 4.72 .0196 4 1.00 5.03 .0197 3 1.00 6.06 .0198 4 1.00 5.38 .0199 4 1.00 5.19 .0200 4 1.00 5.52 .0201 5 1.00 5.35 .0202 4 1.00 5.49 .0203 3 1.00 5.43 .0204 4 1.00 5.66 .0205 3 1.00 5.82 .0206 3 1.00 5.93 .0207 2 1.00 6.97 .0208 2 1.00 6.41 .0209 3 1.00 6.79 .0210 3 1.00 6.75 .0211 3 1.00 6.38 .0212 4 1.00 5.52 .0213 3 1.00 6.05 .0214 3 1.00 6.26 .0215 3 1.00 6.68 .0216 3 1.00 5.92 .0217 3 1.00 7.10 .0218 4 1.00 6.23 .0219 3 1.00 5.70 .0220 5 1.00 5.29 .0221 3 1.00 6.31 .0222 3 1.00 6.39 .0223 3 1.00 6.66 .0224 3 1.00 6.10 .0225 3 1.00 6.86 .0226 3 1.00 6.86 .0227 3 1.00 7.01 .0228 3 1.00 6.64 .0229 3 1.00 6.99 .0230 3 1.00 6.01 .0231 3 1.00 7.28 .0232 3 1.00 6.72 .0233 3 1.00 6.79 .0234 3 1.00 5.85 .0235 3 1.00 6.57 .0236 3 1.00 6.23 .0237 3 1.00 5.90 .0238 3 1.00 5.52 .0239 3 1.00 126.88 .0240 4 1.00 5.34 .0241 4 1.00 5.29 .0242 4 1.00 5.07 .0243 4 1.00 5.56 .0244 3 1.00 6.51 .0245 4 1.00 5.06 .0246 5 1.00 5.18 .0247 3 1.00 6.21 .0248 4 1.00 5.06 .0249 1 1.00 3.78 .0250 5 1.00 5.22 .0251 1 1.00 0.99 .0252 5 1.00 4.96 .0253 4 1.00 5.52 .0254 3 1.00 5.75 .0255 4 1.00 6.12 .0256 4 1.00 6.58 .0257 3 1.00 5.10 .0258 3 1.00 5.30 .0259 3 1.00 4.61 .0260 3 1.00 10.55 .0261 5 1.00 4.68 .0262 5 1.00 4.32 .0263 6 1.00 4.30 .0264 5 1.00 4.28 .0265 4 1.00 4.07 .0266 4 1.00 4.00 .0267 3 1.00 4.41 .0268 4 1.00 4.73 .0269 3 1.00 5.98 .0270 4 1.00 4.66 .0271 3 1.00 4.88 .0272 3 1.00 4.81 .0273 3 1.00 4.83 .0274 4 1.00 4.77 .0275 4 1.00 4.90 .0276 5 1.00 4.70 .0277 4 1.00 4.47 .0278 4 1.00 4.49 .0279 4 1.00 4.91 .0280 3 1.00 5.47 .0281 4 1.00 6.16 .0282 4 1.00 5.51 .0283 4 1.00 5.21 .0284 4 1.00 5.52 .0285 4 1.00 4.75 .0286 5 1.00 4.41 .0287 5 1.00 4.67 .0288 3 1.00 4.76 .0289 3 1.00 5.66 .0290 3 1.00 5.34 .0291 4 1.00 5.18 .0292 5 1.00 5.40 .0293 3 1.00 5.01 .0294 1 1.00 0.92 .0295 5 1.00 4.76 .0296 3 1.00 5.12 .0297 5 1.00 5.06 .0298 2 1.00 6.18 .0299 4 1.00 5.10 .0300 3 1.00 4.88 .0301 4 1.00 4.72 .0302 4 1.00 4.23 .0303 5 1.00 4.45 .0304 4 1.00 4.96 .0305 3 1.00 4.47 .0306 3 1.00 4.97 .0307 4 1.00 4.49 .0308 5 1.00 4.29 .0309 3 1.00 5.94 .0310 4 1.00 5.22 .0311 3 1.00 4.91 .0312 3 1.00 5.00 .0313 3 1.00 4.81 .0314 3 1.00 5.19 .0315 4 1.00 5.72 .0316 3 1.00 4.85 .0317 4 1.00 5.61 .0318 3 1.00 5.99 .0319 4 1.00 4.71 EXTRACT_IMAGE: r1: masked 861 pixels TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 0 FITDISPERSION: r1: Median wavelength widths = 0.85 0.88 0.79 0.79 pix (LL LR UL UR) SPCALIB: r1: Extracting arc # 2 of 2 SPCALIB: r1: Reading arc sdR-r1-00034592.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.81954 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1192.14 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.67400 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1241.02 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Fraction of bad pixels in arc = 4.98295e-05 SPCALIB: r1: Arc sdR-r1-00034592.fit paired with flat sdR-r1-00034591.fit MATCH_TRACE: r1: Iteration: 0 Pixels Rejected: 8338 Finished? 0 MATCH_TRACE: r1: Iteration: 1 Pixels Rejected: 355 Finished? 0 MATCH_TRACE: r1: Iteration: 2 Pixels Rejected: 60 Finished? 0 MATCH_TRACE: r1: Iteration: 3 Pixels Rejected: 15 Finished? 0 MATCH_TRACE: r1: Iteration: 4 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: r1: Iteration: 5 Pixels Rejected: 0 Finished? 1 SPCALIB: r1: Shifting traces with match_trace -0.00811768 SPCALIB: r1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 1.04 1.25 .0001 1 1.04 1.24 .0002 1 1.04 1.03 .0003 1 1.04 1.09 .0004 1 1.04 0.99 .0005 1 1.04 1.03 .0006 1 1.04 1.06 .0007 1 1.04 0.97 .0008 1 1.04 1.02 .0009 1 1.04 1.09 .0010 1 1.04 1.09 .0011 1 1.04 1.10 .0012 3 1.04 1.21 .0013 1 1.04 1.13 .0014 1 1.04 1.34 .0015 1 1.04 1.17 .0016 1 1.04 1.10 .0017 1 1.04 0.97 .0018 1 1.04 0.96 .0019 1 1.03 0.95 .0020 1 1.03 0.99 .0021 1 1.03 0.95 .0022 1 1.03 1.04 .0023 1 1.03 0.98 .0024 1 1.03 0.98 .0025 1 1.03 1.05 .0026 1 1.03 0.99 .0027 1 1.03 0.99 .0028 1 1.03 0.94 .0029 1 1.03 0.98 .0030 1 1.03 1.03 .0031 1 1.03 0.98 .0032 1 1.03 1.03 .0033 1 1.03 1.14 .0034 2 1.03 1.07 .0035 1 1.03 1.23 .0036 1 1.03 1.18 .0037 1 1.03 1.33 .0038 2 1.03 1.18 .0039 1 1.03 1.31 .0040 1 1.03 1.13 .0041 1 1.03 1.25 .0042 1 1.03 1.15 .0043 1 1.03 1.19 .0044 1 1.03 1.19 .0045 1 1.03 1.12 .0046 1 1.03 1.18 .0047 1 1.03 1.23 .0048 1 1.03 1.15 .0049 3 1.03 1.22 .0050 2 1.03 1.34 .0051 1 1.03 1.22 .0052 1 1.03 1.35 .0053 1 1.03 1.45 .0054 2 1.03 1.79 .0055 1 1.03 1.70 .0056 1 1.03 1.68 .0057 1 1.03 1.65 .0058 1 1.03 1.44 .0059 1 1.03 1.23 .0060 2 1.03 1.14 .0061 1 1.03 1.20 .0062 1 1.03 1.23 .0063 1 1.03 1.17 .0064 1 1.03 1.27 .0065 1 1.03 1.20 .0066 1 1.03 1.25 .0067 1 1.03 1.22 .0068 1 1.03 1.29 .0069 1 1.03 1.23 .0070 1 1.03 1.26 .0071 1 1.02 1.33 .0072 1 1.02 1.33 .0073 1 1.02 1.45 .0074 2 1.02 1.61 .0075 1 1.02 1.84 .0076 1 1.02 1.80 .0077 1 1.02 1.55 .0078 1 1.02 1.18 .0079 1 1.02 1.05 .0080 1 1.02 1.04 .0081 1 1.02 1.11 .0082 1 1.02 1.14 .0083 1 1.02 1.10 .0084 1 1.02 1.12 .0085 1 1.02 1.09 .0086 1 1.02 1.21 .0087 1 1.02 1.17 .0088 1 1.02 1.26 .0089 1 1.02 1.35 .0090 1 1.02 1.20 .0091 1 1.02 1.29 .0092 1 1.02 1.28 .0093 1 1.02 1.25 .0094 1 1.02 1.31 .0095 1 1.02 1.42 .0096 1 1.02 1.49 .0097 1 1.02 1.55 .0098 1 1.02 1.62 .0099 1 1.02 1.82 .0100 1 1.02 2.12 .0101 1 1.02 2.13 .0102 1 1.02 1.92 .0103 1 1.02 2.15 .0104 2 1.02 1.87 .0105 3 1.02 1.95 .0106 2 1.02 1.91 .0107 1 1.02 1.86 .0108 1 1.02 2.04 .0109 1 1.02 1.93 .0110 1 1.02 2.06 .0111 1 1.02 1.94 .0112 1 1.02 1.90 .0113 1 1.02 2.15 .0114 1 1.02 2.52 .0115 1 1.02 2.73 .0116 1 1.02 3.41 .0117 1 1.02 3.13 .0118 1 1.02 4.06 .0119 1 1.02 3.73 .0120 2 1.02 3.08 .0121 3 1.02 1.31 .0122 1 1.02 1.19 .0123 1 1.02 1.09 .0124 1 1.02 1.22 .0125 1 1.02 1.22 .0126 1 1.02 1.16 .0127 1 1.02 1.15 .0128 1 1.01 1.18 .0129 1 1.01 1.11 .0130 1 1.01 1.18 .0131 1 1.01 1.12 .0132 2 1.01 1.30 .0133 1 1.01 1.17 .0134 1 1.01 1.19 .0135 1 1.01 1.25 .0136 1 1.01 1.38 .0137 1 1.01 1.36 .0138 1 1.01 1.54 .0139 1 1.01 1.67 .0140 1 1.01 1.51 .0141 1 1.01 1.11 .0142 1 1.01 1.05 .0143 1 1.01 1.07 .0144 1 1.01 1.08 .0145 1 1.01 1.06 .0146 1 1.01 1.06 .0147 1 1.01 1.15 .0148 1 1.01 1.03 .0149 1 1.01 1.02 .0150 1 1.01 1.08 .0151 1 1.01 1.08 .0152 1 1.01 1.08 .0153 1 1.01 1.09 .0154 1 1.01 1.12 .0155 2 1.01 1.14 .0156 1 1.01 1.24 .0157 1 1.01 1.31 .0158 3 1.01 1.26 .0159 1 1.01 1.27 .0160 1 1.01 1.19 .0161 1 1.01 1.26 .0162 2 1.01 1.25 .0163 3 1.01 1.23 .0164 1 1.01 1.38 .0165 1 1.01 1.15 .0166 1 1.01 1.28 .0167 1 1.01 1.30 .0168 2 1.01 1.36 .0169 1 1.01 1.40 .0170 2 1.01 1.54 .0171 1 1.01 1.55 .0172 1 1.01 1.79 .0173 1 1.01 1.80 .0174 3 1.01 1.79 .0175 1 1.01 2.48 .0176 2 1.01 2.24 .0177 1 1.01 1.56 .0178 1 1.01 1.37 .0179 1 1.01 1.46 .0180 1 1.01 1.44 .0181 1 1.01 1.59 .0182 1 1.01 1.55 .0183 1 1.01 1.71 .0184 1 1.01 1.89 .0185 1 1.01 2.09 .0186 1 1.01 2.46 .0187 1 1.01 2.65 .0188 1 1.01 2.69 .0189 1 1.01 2.52 .0190 1 1.01 2.68 .0191 1 1.00 2.77 .0192 1 1.00 2.73 .0193 2 1.00 2.64 .0194 2 1.00 2.59 .0195 1 1.00 2.60 .0196 1 1.00 2.74 .0197 1 1.00 2.84 .0198 1 1.00 2.90 .0199 1 1.00 3.06 .0200 1 1.00 3.81 .0201 1 1.00 4.50 .0202 1 1.00 5.19 .0203 1 1.00 4.94 .0204 1 1.00 6.40 .0205 1 1.00 5.59 .0206 1 1.00 3.83 .0207 1 1.00 2.41 .0208 1 1.00 2.64 .0209 1 1.00 2.68 .0210 2 1.00 3.12 .0211 1 1.00 2.86 .0212 1 1.00 2.90 .0213 1 1.00 2.92 .0214 1 1.00 3.87 .0215 1 1.00 4.52 .0216 1 1.00 5.97 .0217 1 1.00 5.54 .0218 1 1.00 6.70 .0219 1 1.00 7.24 .0220 1 1.00 6.09 .0221 1 1.00 2.94 .0222 1 1.00 2.79 .0223 1 1.00 2.85 .0224 2 1.00 2.95 .0225 2 1.00 3.00 .0226 2 1.00 3.32 .0227 2 1.00 3.16 .0228 2 1.00 3.37 .0229 1 1.00 3.82 .0230 1 1.00 4.37 .0231 1 1.00 4.74 .0232 1 1.00 5.81 .0233 1 1.00 6.62 .0234 1 1.00 5.71 .0235 1 1.00 5.66 .0236 1 1.00 5.87 .0237 1 1.00 5.35 .0238 1 1.00 5.20 .0239 1 1.00 5.44 .0240 1 1.00 5.64 .0241 1 1.00 6.22 .0242 2 1.00 5.65 .0243 1 1.00 6.04 .0244 1 1.00 6.19 .0245 1 1.00 8.33 .0246 1 1.00 9.75 .0247 1 1.00 12.03 .0248 1 1.00 9.56 .0249 1 1.00 11.49 .0250 1 1.00 11.61 .0251 1 1.00 7.67 .0252 1 1.00 2.49 .0253 1 1.00 2.53 .0254 1 1.00 2.43 .0255 1 1.00 2.51 .0256 1 1.00 2.46 .0257 1 1.00 2.46 .0258 1 1.00 2.88 .0259 1 1.00 3.06 .0260 1 1.00 4.02 .0261 1 0.99 3.82 .0262 1 0.99 3.69 .0263 1 0.99 4.22 .0264 1 0.99 3.48 .0265 1 0.99 1.41 .0266 1 0.99 1.32 .0267 1 0.99 1.28 .0268 1 0.99 1.35 .0269 1 0.99 1.36 .0270 1 0.99 1.40 .0271 1 0.99 1.36 .0272 3 0.99 1.30 .0273 1 0.99 1.33 .0274 1 0.99 1.32 .0275 1 0.99 1.34 .0276 1 0.99 1.45 .0277 1 0.99 1.49 .0278 2 0.99 1.51 .0279 2 0.99 1.54 .0280 1 0.99 1.81 .0281 1 0.99 2.18 .0282 1 0.99 2.07 .0283 1 0.99 2.02 .0284 1 0.99 2.01 .0285 1 0.99 2.01 .0286 1 0.99 1.96 .0287 2 0.99 1.87 .0288 1 0.99 1.96 .0289 1 0.99 1.97 .0290 1 0.99 1.85 .0291 1 0.99 1.90 .0292 1 0.99 1.85 .0293 1 0.99 2.36 .0294 1 0.99 2.59 .0295 1 0.99 3.34 .0296 1 0.99 3.13 .0297 1 0.99 3.88 .0298 1 0.99 4.24 .0299 1 0.99 3.58 .0300 1 0.99 1.95 .0301 1 0.99 2.09 .0302 1 0.99 2.33 .0303 1 0.99 2.03 .0304 1 0.99 2.11 .0305 1 0.99 2.07 .0306 1 0.99 2.09 .0307 1 0.99 2.33 .0308 2 0.99 2.36 .0309 1 0.99 2.18 .0310 1 0.99 2.65 .0311 1 0.99 2.62 .0312 1 0.99 2.97 .0313 1 0.99 4.00 .0314 1 0.99 4.33 .0315 1 0.99 3.87 .0316 1 0.99 3.56 .0317 1 0.99 3.71 .0318 1 0.99 3.53 .0319 1 0.99 3.31 .0320 1 0.99 3.95 .0321 1 0.99 3.89 .0322 1 0.99 3.90 .0323 1 0.99 3.83 .0324 1 0.99 3.95 .0325 3 0.99 4.68 .0326 1 0.99 6.11 .0327 1 0.99 7.14 .0328 1 0.99 5.89 .0329 1 0.99 7.21 .0330 1 0.99 8.41 .0331 1 0.99 5.58 .0332 1 0.99 1.54 .0333 1 0.99 1.44 .0334 1 0.99 1.45 .0335 1 0.99 1.49 .0336 1 0.99 1.66 .0337 1 0.99 1.93 .0338 1 0.99 2.29 .0339 1 0.99 2.68 .0340 1 0.99 2.78 .0341 1 0.99 3.08 .0342 1 0.98 3.14 .0343 1 0.98 3.13 .0344 1 0.98 3.19 .0345 1 0.98 3.77 .0346 1 0.98 4.24 .0347 1 0.98 3.89 .0348 1 0.98 3.71 .0349 1 0.98 3.74 .0350 1 0.98 3.94 .0351 1 0.98 4.26 .0352 1 0.98 4.66 .0353 1 0.98 4.58 .0354 1 0.98 5.65 .0355 1 0.98 5.95 .0356 1 0.98 4.77 .0357 1 0.98 6.00 .0358 1 0.98 6.78 .0359 1 0.98 6.60 .0360 1 0.98 6.79 .0361 2 0.98 6.03 .0362 1 0.98 5.30 .0363 1 0.98 5.45 .0364 1 0.98 6.09 .0365 1 0.98 6.12 .0366 1 0.98 5.82 .0367 1 0.98 5.71 .0368 1 0.98 5.91 .0369 1 0.98 7.78 .0370 1 0.98 10.11 .0371 1 0.98 11.42 .0372 1 0.98 9.58 .0373 1 0.98 13.09 .0374 1 0.98 13.68 .0375 1 0.98 6.30 .0376 1 0.98 4.14 .0377 1 0.98 4.40 .0378 1 0.98 4.50 .0379 1 0.98 4.26 .0380 1 0.98 4.66 .0381 1 0.98 5.96 .0382 1 0.98 6.82 .0383 1 0.98 7.83 .0384 1 0.98 8.94 .0385 1 0.98 12.06 .0386 1 0.98 12.02 .0387 2 0.98 12.52 .0388 1 0.98 16.16 .0389 1 0.98 17.67 .0390 1 0.98 17.66 .0391 1 0.98 16.49 .0392 1 0.98 16.93 .0393 1 0.98 16.14 .0394 1 0.98 16.53 .0395 1 0.98 17.25 .0396 1 0.98 17.52 .0397 1 0.98 16.70 .0398 1 0.98 18.40 .0399 1 0.98 19.48 .0400 1 0.98 22.99 .0401 1 0.98 30.78 .0402 1 0.98 36.95 .0403 1 0.98 31.87 .0404 1 0.98 38.16 .0405 1 0.98 37.14 .0406 1 0.98 25.90 .0407 1 0.98 23.90 .0408 1 0.98 25.05 .0409 1 0.98 24.52 .0410 1 0.98 24.33 .0411 1 0.98 24.97 .0412 1 0.98 29.19 .0413 1 0.98 35.27 .0414 1 0.98 43.98 .0415 1 0.98 34.13 .0416 1 0.98 39.66 .0417 1 0.98 47.38 .0418 1 0.98 33.92 .0419 1 0.98 6.52 .0420 1 0.98 5.05 .0421 2 0.98 4.38 .0422 1 0.98 3.56 .0423 1 0.98 2.81 .0424 1 0.98 2.17 .0425 1 0.98 1.86 .0426 1 0.98 1.69 .0427 2 0.98 1.62 .0428 1 0.98 1.54 .0429 1 0.98 1.40 .0430 1 0.98 1.34 .0431 1 0.98 1.28 .0432 1 0.98 1.35 .0433 1 0.98 1.34 .0434 1 0.98 1.34 .0435 1 0.97 1.30 .0436 2 0.97 1.42 .0437 1 0.97 1.28 .0438 1 0.97 1.27 .0439 1 0.97 1.39 .0440 1 0.97 1.34 .0441 2 0.97 1.22 .0442 2 0.97 1.14 .0443 1 0.97 1.10 .0444 1 0.97 1.22 .0445 1 0.97 1.14 .0446 1 0.97 1.22 .0447 1 0.97 1.48 .0448 1 0.97 1.95 .0449 1 0.97 2.47 .0450 1 0.97 3.02 .0451 2 0.97 3.63 .0452 2 0.97 3.80 .0453 1 0.97 4.07 .0454 1 0.97 4.40 .0455 1 0.97 5.25 .0456 1 0.97 5.91 .0457 1 0.97 5.74 .0458 1 0.97 6.24 .0459 1 0.97 6.46 .0460 1 0.97 5.24 .0461 1 0.97 6.17 .0462 1 0.97 5.72 .0463 1 0.97 6.35 .0464 1 0.97 6.13 .0465 1 0.97 6.95 .0466 1 0.97 7.35 .0467 1 0.97 8.49 .0468 1 0.97 11.67 .0469 1 0.97 13.23 .0470 2 0.97 12.75 .0471 1 0.97 11.21 .0472 2 0.97 11.94 .0473 1 0.97 10.92 .0474 1 0.97 12.03 .0475 1 0.97 10.98 .0476 1 0.97 11.22 .0477 1 0.97 11.53 .0478 1 0.97 12.46 .0479 1 0.97 16.06 .0480 1 0.97 21.70 .0481 1 0.97 16.40 .0482 1 0.97 18.15 .0483 1 0.97 23.02 .0484 1 0.97 17.13 .0485 1 0.97 4.73 .0486 1 0.97 4.48 .0487 1 0.97 4.10 .0488 1 0.97 3.63 .0489 1 0.97 3.39 .0490 1 0.97 3.44 .0491 1 0.97 3.46 .0492 1 0.97 3.61 .0493 1 0.97 3.61 .0494 1 0.97 3.74 .0495 1 0.97 4.17 .0496 1 0.97 5.13 .0497 1 0.97 5.77 .0498 1 0.97 4.78 .0499 1 0.97 6.43 .0500 1 0.97 6.47 .0501 1 0.97 2.25 .0502 1 0.97 1.26 .0503 1 0.97 1.25 .0504 1 0.97 1.23 .0505 1 0.97 1.25 .0506 1 0.97 1.35 .0507 2 0.97 1.41 .0508 1 0.97 1.51 .0509 2 0.97 1.83 .0510 1 0.97 1.82 .0511 1 0.97 2.01 .0512 2 0.97 2.19 .0513 1 0.97 2.17 .0514 1 0.97 2.28 .0515 1 0.97 2.37 .0516 1 0.97 2.39 .0517 1 0.97 2.29 .0518 1 0.97 2.25 .0519 2 0.97 2.45 .0520 1 0.97 2.54 .0521 1 0.97 2.46 .0522 1 0.97 2.20 .0523 1 0.97 2.53 .0524 1 0.97 2.80 .0525 1 0.97 2.90 .0526 1 0.97 3.49 .0527 1 0.97 4.66 .0528 1 0.97 4.44 .0529 1 0.97 4.37 .0530 1 0.97 3.95 .0531 1 0.97 3.87 .0532 1 0.97 4.32 .0533 1 0.97 4.41 .0534 1 0.97 4.23 .0535 1 0.97 4.02 .0536 1 0.97 4.35 .0537 1 0.97 5.59 .0538 1 0.97 7.83 .0539 1 0.97 6.20 .0540 1 0.97 7.33 .0541 1 0.97 9.61 .0542 1 0.97 6.05 .0543 3 0.97 1.48 .0544 1 0.97 1.35 .0545 1 0.97 1.31 .0546 1 0.96 1.18 .0547 1 0.96 1.19 .0548 1 0.96 1.17 .0549 1 0.96 1.17 .0550 1 0.96 1.17 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1 0.96 5.00 .0607 1 0.96 4.74 .0608 1 0.96 4.90 .0609 1 0.96 5.02 .0610 1 0.96 5.59 .0611 1 0.96 7.39 .0612 1 0.96 8.23 .0613 1 0.96 6.08 .0614 1 0.96 8.72 .0615 1 0.96 9.24 .0616 1 0.96 2.12 .0617 1 0.96 1.47 .0618 1 0.96 1.48 .0619 1 0.96 1.31 .0620 1 0.96 1.20 .0621 1 0.96 1.30 .0622 1 0.96 1.20 .0623 1 0.96 1.11 .0624 1 0.96 1.24 .0625 3 0.96 1.12 .0626 2 0.96 1.13 .0627 1 0.96 1.09 .0628 1 0.96 1.12 .0629 1 0.96 1.12 .0630 1 0.96 1.13 .0631 1 0.96 1.16 .0632 1 0.96 1.06 .0633 2 0.96 1.19 .0634 2 0.96 1.05 .0635 1 0.96 1.11 .0636 2 0.96 1.09 .0637 2 0.96 1.05 .0638 1 0.96 1.10 .0639 1 0.96 1.19 .0640 1 0.96 1.07 .0641 1 0.96 1.03 .0642 1 0.96 1.16 .0643 1 0.96 1.08 .0644 1 0.96 1.13 .0645 1 0.96 1.07 .0646 1 0.96 1.03 .0647 1 0.96 1.09 .0648 1 0.96 1.09 .0649 1 0.96 1.09 .0650 2 0.96 1.17 .0651 1 0.96 1.29 .0652 2 0.96 1.04 .0653 1 0.96 1.18 .0654 1 0.96 1.04 .0655 1 0.96 1.10 .0656 1 0.96 1.09 .0657 3 0.96 1.11 .0658 1 0.96 1.03 .0659 1 0.96 1.09 .0660 1 0.96 1.10 .0661 1 0.96 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0.92 1.18 .1605 1 0.92 1.25 .1606 1 0.92 1.29 .1607 1 0.92 1.24 .1608 1 0.92 1.27 .1609 1 0.92 1.23 .1610 2 0.92 1.63 .1611 1 0.92 1.18 .1612 1 0.92 1.33 .1613 1 0.92 1.29 .1614 1 0.92 1.29 .1615 1 0.92 1.26 .1616 3 0.92 1.22 .1617 1 0.92 1.26 .1618 1 0.92 1.12 .1619 1 0.92 1.17 .1620 3 0.92 1.24 .1621 4 0.92 1.20 .1622 3 0.92 1.26 .1623 1 0.92 1.34 .1624 1 0.92 1.32 .1625 1 0.92 1.13 .1626 2 0.92 1.18 .1627 1 0.92 1.18 .1628 2 0.92 1.21 .1629 1 0.92 1.27 .1630 1 0.92 1.17 .1631 1 0.92 1.24 .1632 1 0.92 1.10 .1633 1 0.92 1.31 .1634 1 0.92 1.20 .1635 1 0.92 1.28 .1636 1 0.92 1.25 .1637 2 0.92 1.29 .1638 1 0.92 1.32 .1639 1 0.92 1.45 .1640 1 0.92 1.48 .1641 1 0.92 1.49 .1642 2 0.92 1.56 .1643 1 0.92 1.82 .1644 1 0.92 1.39 .1645 1 0.92 1.27 .1646 1 0.92 1.34 .1647 1 0.92 1.48 .1648 1 0.92 1.43 .1649 1 0.92 1.46 .1650 1 0.92 1.36 .1651 1 0.92 1.43 .1652 1 0.92 1.33 .1653 2 0.92 1.59 .1654 1 0.92 1.70 .1655 1 0.92 1.92 .1656 1 0.92 1.98 .1657 1 0.92 1.99 .1658 1 0.92 1.64 .1659 2 0.92 1.29 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0.92 1.15 .1716 1 0.92 1.19 .1717 1 0.92 1.22 .1718 1 0.92 1.22 .1719 1 0.92 1.34 .1720 1 0.92 1.22 .1721 1 0.92 1.28 .1722 3 0.92 1.15 .1723 1 0.92 1.27 .1724 1 0.92 1.28 .1725 2 0.92 1.30 .1726 1 0.92 1.19 .1727 1 0.92 1.31 .1728 1 0.92 1.31 .1729 1 0.92 1.42 .1730 1 0.92 1.45 .1731 1 0.92 1.42 .1732 1 0.92 1.44 .1733 1 0.92 1.37 .1734 1 0.92 1.51 .1735 1 0.92 1.56 .1736 1 0.92 1.42 .1737 1 0.92 1.47 .1738 1 0.92 1.32 .1739 1 0.92 1.34 .1740 1 0.92 1.35 .1741 3 0.92 1.32 .1742 2 0.92 1.47 .1743 1 0.92 1.57 .1744 1 0.92 1.59 .1745 1 0.92 1.72 .1746 3 0.92 1.90 .1747 2 0.92 1.77 .1748 1 0.92 1.42 .1749 1 0.92 1.23 .1750 1 0.92 1.19 .1751 1 0.92 1.25 .1752 1 0.92 1.24 .1753 1 0.92 1.30 .1754 1 0.92 1.22 .1755 1 0.92 1.24 .1756 1 0.92 1.21 .1757 1 0.92 1.22 .1758 1 0.92 1.19 .1759 1 0.92 1.16 .1760 1 0.92 1.29 .1761 1 0.92 1.18 .1762 1 0.92 1.23 .1763 1 0.92 1.15 .1764 1 0.92 1.20 .1765 1 0.92 1.19 .1766 1 0.92 1.19 .1767 1 0.92 1.19 .1768 1 0.92 1.22 .1769 1 0.92 1.24 .1770 1 0.92 1.16 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0.92 1.15 .1827 1 0.92 1.15 .1828 2 0.92 1.15 .1829 4 0.92 1.22 .1830 1 0.92 1.31 .1831 1 0.92 1.21 .1832 1 0.92 1.23 .1833 1 0.92 1.15 .1834 1 0.92 1.11 .1835 1 0.92 1.26 .1836 2 0.92 1.17 .1837 2 0.92 1.20 .1838 2 0.92 1.23 .1839 1 0.92 1.14 .1840 1 0.92 1.12 .1841 1 0.92 1.21 .1842 2 0.92 1.19 .1843 1 0.92 1.21 .1844 1 0.92 1.18 .1845 1 0.92 1.25 .1846 1 0.92 1.20 .1847 1 0.91 1.24 .1848 1 0.91 1.18 .1849 1 0.91 1.25 .1850 2 0.91 1.27 .1851 4 0.91 1.34 .1852 2 0.91 1.18 .1853 1 0.91 1.15 .1854 1 0.91 1.28 .1855 1 0.91 1.19 .1856 1 0.91 1.22 .1857 1 0.91 1.26 .1858 1 0.91 1.30 .1859 1 0.91 1.33 .1860 1 0.91 1.22 .1861 1 0.91 1.19 .1862 1 0.91 1.15 .1863 1 0.91 1.22 .1864 1 0.91 1.11 .1865 3 0.91 1.16 .1866 1 0.91 1.26 .1867 1 0.91 1.14 .1868 1 0.91 1.14 .1869 1 0.91 1.15 .1870 1 0.91 1.15 .1871 1 0.91 1.14 .1872 1 0.91 1.13 .1873 1 0.91 1.17 .1874 1 0.91 1.20 .1875 2 0.91 1.28 .1876 3 0.91 1.37 .1877 3 0.91 1.19 .1878 1 0.91 1.19 .1879 1 0.91 1.34 .1880 3 0.91 1.14 .1881 1 0.91 1.13 .1882 1 0.91 1.13 .1883 1 0.91 1.16 .1884 1 0.91 1.20 .1885 1 0.91 1.12 .1886 1 0.91 1.16 .1887 1 0.91 1.20 .1888 1 0.91 1.20 .1889 1 0.91 1.14 .1890 2 0.91 1.17 .1891 2 0.91 1.20 .1892 2 0.91 1.25 .1893 2 0.91 1.16 .1894 3 0.91 1.18 .1895 2 0.91 1.18 .1896 3 0.91 1.16 .1897 1 0.91 1.26 .1898 1 0.91 1.20 .1899 1 0.91 1.15 .1900 1 0.91 1.14 .1901 1 0.91 1.07 .1902 1 0.91 1.12 .1903 1 0.91 1.18 .1904 1 0.91 1.13 .1905 1 0.91 1.17 .1906 1 0.91 1.15 .1907 1 0.91 1.12 .1908 1 0.91 1.10 .1909 1 0.91 1.16 .1910 2 0.91 1.22 .1911 3 0.91 1.17 .1912 1 0.91 1.14 .1913 2 0.91 1.21 .1914 1 0.91 1.16 .1915 1 0.91 1.17 .1916 1 0.91 1.08 .1917 1 0.91 1.16 .1918 1 0.91 1.10 .1919 1 0.91 1.18 .1920 1 0.91 1.09 .1921 1 0.91 1.14 .1922 2 0.91 1.16 .1923 2 0.91 1.21 .1924 1 0.91 1.04 .1925 1 0.91 1.24 .1926 2 0.91 1.13 .1927 1 0.91 1.07 .1928 1 0.91 1.07 .1929 1 0.91 1.22 .1930 1 0.91 1.25 .1931 1 0.91 1.19 .1932 1 0.91 1.12 .1933 1 0.91 1.18 .1934 1 0.91 1.17 .1935 1 0.91 1.08 .1936 2 0.91 1.30 .1937 1 0.91 1.17 .1938 1 0.91 1.27 .1939 1 0.91 1.17 .1940 2 0.91 1.22 .1941 3 0.91 1.12 .1942 2 0.91 1.57 .1943 3 0.91 1.16 .1944 3 0.91 1.12 .1945 3 0.91 1.16 .1946 3 0.91 1.65 .1947 3 0.91 1.26 .1948 3 0.91 1.32 .1949 2 0.91 1.47 .1950 4 0.91 1.14 .1951 2 0.91 1.39 .1952 3 0.92 1.19 .1953 1 0.92 1.27 .1954 2 0.92 1.15 .1955 1 0.92 1.19 .1956 1 0.92 1.16 .1957 4 0.92 1.16 .1958 3 0.92 1.15 .1959 1 0.92 1.14 .1960 1 0.92 1.17 .1961 1 0.92 1.18 .1962 1 0.92 1.16 .1963 1 0.92 1.13 .1964 2 0.92 1.12 .1965 2 0.92 1.14 .1966 1 0.92 1.14 .1967 1 0.92 1.15 .1968 1 0.92 1.15 .1969 1 0.92 1.18 .1970 2 0.92 1.16 .1971 3 0.92 1.18 .1972 3 0.92 1.21 .1973 1 0.92 1.12 .1974 1 0.92 1.06 .1975 1 0.92 1.16 .1976 1 0.92 1.14 .1977 1 0.92 1.12 .1978 1 0.92 1.17 .1979 1 0.92 1.16 .1980 1 0.92 1.17 .1981 2 0.92 1.15 .1982 2 0.92 1.16 .1983 1 0.92 1.10 .1984 1 0.92 1.12 .1985 1 0.92 1.14 .1986 1 0.92 1.14 .1987 1 0.92 1.15 .1988 1 0.92 1.15 .1989 1 0.92 1.19 .1990 2 0.92 1.22 .1991 1 0.92 1.24 .1992 2 0.92 1.23 .1993 3 0.92 1.21 .1994 1 0.92 1.14 .1995 1 0.92 1.16 .1996 1 0.92 1.15 .1997 1 0.92 1.10 .1998 1 0.92 1.11 .1999 1 0.92 1.19 .2000 1 0.92 1.18 .2001 1 0.92 1.19 .2002 1 0.92 1.20 .2003 1 0.92 1.16 .2004 1 0.92 1.20 .2005 1 0.92 1.17 .2006 1 0.92 1.24 .2007 1 0.92 1.14 .2008 1 0.92 1.24 .2009 1 0.92 1.17 .2010 2 0.92 1.18 .2011 2 0.92 1.16 .2012 1 0.92 1.21 .2013 1 0.92 1.11 .2014 1 0.92 1.15 .2015 1 0.92 1.15 .2016 1 0.92 1.22 .2017 2 0.92 1.19 .2018 1 0.92 1.23 .2019 1 0.92 1.20 .2020 1 0.92 1.29 .2021 1 0.92 1.09 .2022 1 0.92 1.20 .2023 1 0.92 1.18 .2024 1 0.92 1.21 .2025 1 0.92 1.15 .2026 1 0.92 1.13 .2027 1 0.92 1.15 .2028 1 0.92 1.26 .2029 1 0.92 1.19 .2030 1 0.92 1.08 .2031 1 0.92 1.08 .2032 1 0.92 1.13 .2033 1 0.92 1.12 .2034 1 0.92 1.16 .2035 1 0.92 1.21 .2036 1 0.92 1.08 .2037 1 0.92 1.19 .2038 1 0.92 1.25 .2039 3 0.92 1.18 .2040 3 0.92 1.25 .2041 1 0.92 1.23 .2042 1 0.92 1.15 .2043 1 0.92 1.11 .2044 1 0.92 1.20 .2045 2 0.92 1.33 .2046 1 0.92 1.24 .2047 1 0.92 1.18 EXTRACT_IMAGE: r1: masked 401 pixels SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r1: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r1: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Searching about coefficients = 3.86684 0.10142 -0.00449 -0.00022 ARCFIT_ITER: r1: Searching lags from -151 to 151 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Initial wavelength fit = 3.86684 0.10142 -0.00449 -0.00026 ARCFIT_GUESS: r1: Initial correlation = 0.759777 FITARCIMAGE_GLOBAL: r1: Best correlation = 0.759777 FITARCIMAGE_GLOBAL: r1: ASET = 3.86684 0.10142 -0.00449 -0.00026 SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Tracing 36 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 35 320 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Iterating flux-weighted centers . 0 320 0.133 . 1 320 0.150 . 2 320 0.134 . 3 320 0.131 . 4 320 0.136 . 5 320 0.132 . 6 320 0.136 . 7 320 0.127 . 8 320 0.133 . 9 320 0.138 . 10 320 0.133 . 11 320 0.134 . 12 320 0.130 . 13 320 0.118 . 14 320 0.132 . 15 320 0.135 . 16 320 0.135 . 17 320 0.139 . 18 320 0.132 . 19 320 0.127 . 20 320 0.133 . 21 320 0.133 . 22 320 0.134 . 23 320 0.142 . 24 320 0.131 . 25 320 0.133 . 26 320 0.131 . 27 320 0.133 . 28 320 0.134 . 29 320 0.128 . 30 320 0.129 . 31 320 0.135 . 32 320 0.124 . 33 320 0.142 . 34 320 0.133 . 35 320 0.133 . 36 320 0.127 . 37 320 0.135 . 38 320 0.147 . 39 320 0.137 . 40 320 0.129 . 41 320 0.136 . 42 320 0.132 . 43 320 0.135 . 44 320 0.134 . 45 320 0.122 . 46 320 0.124 . 47 320 0.126 . 48 320 0.135 . 49 320 0.131 . 50 320 0.145 . 51 320 0.134 . 52 320 0.137 . 53 320 0.130 . 54 320 0.140 . 55 320 0.149 . 56 320 0.136 . 57 320 0.138 . 58 320 0.128 . 59 320 0.128 . 60 320 0.129 . 61 320 0.135 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 62 0 -3.1858364 2.9008856 0.59034622 -0.0000000 8.6503283 1 . 62 320 0.140 . 63 320 0.134 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 64 0 -4.1816610 3.5644563 0.75412781 0.84881536 8.0418006 1 . 64 320 0.146 . 65 320 0.128 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 66 0 -2.4920999 0.23285027 . 66 320 0.135 . 67 320 0.130 . 68 320 0.127 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 69 0 0.57095955 3.0904252 0.39763841 -0.0000000 9.3903287 1 . 69 320 0.135 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 70 0 -1.6159229 2.9482271 0.35438967 -0.0000000 9.2260824 1 . 70 320 0.144 . 71 320 0.134 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 72 0 1.2303496 4.9251247 0.62516775 0.80897210 7.8414065 1 . 72 320 0.142 . 73 320 0.132 . 74 320 0.128 . 75 320 0.127 . 76 320 0.135 . 77 320 0.136 . 78 320 0.146 . 79 320 0.138 . 80 320 0.117 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 81 0 3.9707373 6.4230584 0.37843370 0.52962525 8.8384881 1 . 81 320 0.126 . 82 320 0.140 . 83 320 0.136 . 84 320 0.141 . 85 320 0.124 . 86 320 0.134 . 87 320 0.127 . 88 320 0.125 . 89 320 0.127 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -0.91376057 2.6874657 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -9.2594919 2.8487593 0.43144506 -0.0000000 8.5890794 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 2 -5.0758809 0.23743313 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 3 -6.1561351 0.20616833 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 4 0.51239030 2.9827159 0.61792080 -0.0000000 9.1079536 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 5 -16.356181 0.29300095 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -4.0107796 4.0919013 0.30424959 0.33635822 9.0234388 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -21.671361 3.1891174 0.38500390 -0.0000000 10.206210 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 16 -33.380397 0.22844464 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 20 -14.129136 3.9184432 0.38602633 -0.0000000 8.1377372 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 22 -10.433735 3.7228366 0.45106074 -0.0000000 7.8461508 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 23 -4.7056791 2.6674481 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 24 -4.3125997 3.1474943 1.1124985 -0.0000000 9.3252725 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 25 -8.4950568 3.5729806 0.95811448 -0.0000000 7.4580577 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 26 -9.1335654 0.29661848 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 27 -9.6177337 2.6953565 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 28 -7.5927390 3.2516851 0.46856635 -0.0000000 10.549188 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 29 -12.226680 4.4317144 0.59503262 -0.0000000 9.0193977 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 30 -15.851767 3.4246661 0.33310651 -0.0000000 10.829962 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 31 -9.7247467 3.3305518 0.43038995 -0.0000000 10.675794 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 32 -20.639143 4.1374894 0.82932510 -0.0000000 8.4813128 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 33 -14.018186 4.3627492 0.41830628 0.48041022 10.686166 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 34 -14.477680 4.0209356 1.4103648 -0.0000000 8.1913300 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 35 -20.828680 4.1420921 0.72417222 -0.0000000 8.8536845 2 . 90 320 0.209 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 91 0 12.346780 2.9080295 0.0000000 0.0000000 0.0000000 1 . 91 320 0.136 . 92 320 0.128 . 93 320 0.128 . 94 320 0.131 . 95 320 0.130 . 96 320 0.127 . 97 320 0.125 . 98 320 0.124 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 99 27 241.61672 0.23958253 . 99 320 0.131 . 100 320 0.129 . 101 320 0.129 . 102 320 0.122 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 103 20 168.00773 9.5386137 0.58353281 -0.0000000 25.109521 1 . 103 320 0.130 . 104 320 0.125 . 105 320 0.118 . 106 320 0.124 . 107 320 0.119 . 108 320 0.132 . 109 320 0.132 . 110 320 0.141 . 111 320 0.136 . 112 320 0.144 . 113 320 0.140 . 114 320 0.133 . 115 320 0.132 . 116 320 0.129 . 117 320 0.131 . 118 320 0.131 . 119 320 0.133 . 120 320 0.134 . 121 320 0.127 . 122 320 0.135 . 123 320 0.131 . 124 320 0.118 . 125 320 0.124 . 126 320 0.132 . 127 320 0.123 . 128 320 0.125 . 129 320 0.134 . 130 320 0.134 . 131 320 0.131 . 132 320 0.123 . 133 320 0.137 . 134 320 0.135 . 135 320 0.140 . 136 320 0.120 . 137 320 0.123 . 138 320 0.129 . 139 320 0.139 . 140 320 0.132 . 141 320 0.144 . 142 320 0.145 . 143 320 0.132 . 144 320 0.126 . 145 320 0.132 . 146 320 0.151 . 147 320 0.136 . 148 320 0.139 . 149 320 0.134 . 150 320 0.135 . 151 320 0.130 . 152 320 0.115 . 153 320 0.125 . 154 320 0.136 . 155 320 0.129 . 156 320 0.136 . 157 320 0.137 . 158 320 0.128 . 159 320 0.135 . 160 320 0.133 . 161 320 0.137 . 162 320 0.135 . 163 320 0.138 . 164 320 0.137 . 165 320 0.136 . 166 320 0.136 . 167 320 0.143 . 168 320 0.125 . 169 320 0.144 . 170 320 0.129 . 171 320 0.136 . 172 320 0.122 . 173 320 0.081 . 174 320 0.104 . 175 320 0.129 . 176 320 0.131 . 177 320 0.135 . 178 320 0.133 . 179 320 0.125 . 180 320 0.139 . 181 320 0.141 . 182 320 0.140 . 183 320 0.142 . 184 320 0.133 . 185 320 0.139 . 186 320 0.136 . 187 320 0.133 . 188 320 0.123 . 189 320 0.138 . 190 320 0.139 . 191 320 0.143 . 192 320 0.135 . 193 320 0.131 . 194 320 0.145 . 195 320 0.138 . 196 320 0.135 . 197 320 0.141 . 198 320 0.144 . 199 320 0.140 . 200 320 0.132 . 201 320 0.131 . 202 320 0.134 . 203 320 0.131 . 204 320 0.130 . 205 320 0.129 . 206 320 0.140 . 207 320 0.138 . 208 320 0.133 . 209 320 0.142 . 210 320 0.142 . 211 320 0.134 . 212 320 0.131 . 213 320 0.127 . 214 320 0.133 . 215 320 0.131 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 216 21 252.62324 15.045749 18.395550 2.1780390 5.8238421e+08 5 . 216 320 0.260 . 217 320 0.133 . 218 320 0.136 . 219 320 0.134 . 220 320 0.136 . 221 320 0.143 . 222 320 0.134 . 223 320 0.140 . 224 320 0.139 . 225 320 0.138 . 226 320 0.137 . 227 320 0.137 . 228 320 0.137 . 229 320 0.137 . 230 320 0.136 . 231 320 0.135 . 232 320 0.131 . 233 320 0.132 . 234 320 0.143 . 235 320 0.143 . 236 320 0.138 . 237 320 0.135 . 238 320 0.134 . 239 320 0.142 . 240 320 0.140 . 241 320 0.142 . 242 320 0.141 . 243 320 0.140 . 244 320 0.133 . 245 320 0.130 . 246 320 0.135 . 247 320 0.145 . 248 320 0.138 . 249 320 0.078 . 250 320 0.133 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -8.3667810 2.7634901 0.45318879 -0.0000000 8.4913189 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -6.2968261 2.7016232 0.85588335 -0.0000000 8.4581425 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 4 -4.9637400 0.25854927 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 8 -14.736034 0.21037613 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 9 -10.505579 0.24318965 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 11 -34.753406 3.9301582 0.33226214 -0.0000000 8.4864355 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 16 4.8757981 0.22364125 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 20 -9.1517952 0.22480934 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 23 -8.0044314 3.0037938 0.40642919 -0.0000000 9.2457668 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 24 -3.5323351 2.9218677 1.7243634 -0.0000000 9.5609351 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 25 -4.5834819 2.5066176 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 26 -5.2044894 2.5193238 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 27 -10.982073 0.27590767 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 28 -5.1608257 3.6744311 0.47161023 0.51300097 10.525930 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 30 -10.993612 3.2876074 0.50441127 -0.0000000 10.359177 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 31 -6.3306963 2.9622930 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 32 -21.639917 3.1957415 0.74857680 -0.0000000 10.063852 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 33 -17.944707 3.3609159 0.63785428 -0.0000000 10.941427 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 34 -11.838232 2.8818367 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 35 -13.399124 3.4193587 0.62656662 -0.0000000 10.750897 1 . 251 320 0.217 . 252 320 0.128 . 253 320 0.125 . 254 320 0.128 . 255 320 0.120 . 256 320 0.151 . 257 320 0.128 . 258 320 0.133 . 259 320 0.122 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 260 35 80.946860 0.20976517 . 260 320 0.141 . 261 320 0.127 . 262 320 0.129 . 263 320 0.140 . 264 320 0.130 . 265 320 0.152 . 266 320 0.122 . 267 320 0.125 . 268 320 0.133 . 269 320 0.156 . 270 320 0.130 . 271 320 0.144 . 272 320 0.122 . 273 320 0.123 . 274 320 0.120 . 275 320 0.144 . 276 320 0.143 . 277 320 0.132 . 278 320 0.129 . 279 320 0.135 . 280 320 0.143 . 281 320 0.146 . 282 320 0.134 . 283 320 0.128 . 284 320 0.136 . 285 320 0.126 . 286 320 0.131 . 287 320 0.135 . 288 320 0.120 . 289 320 0.148 . 290 320 0.128 . 291 320 0.133 . 292 320 0.135 . 293 320 0.122 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 1 -7.7776191 3.2668596 0.84111589 -0.0000000 6.9145390 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -5.7120036 3.8722336 0.33340027 0.40619938 7.5271936 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 3 3.1293535 0.27347415 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 4 -3.1043293 2.9399552 0.31080224 0.26612257 9.3893812 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 5 -3.5093496 0.22758197 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 8 -32.646040 0.22490781 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 9 2.9615035 0.28159405 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 11 -14.771561 0.27879793 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 20 -9.5207422 0.26966823 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 22 -5.0928730 3.6347883 0.35319667 0.38666441 8.8362218 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 23 -11.849551 3.5492451 0.47063166 -0.0000000 7.4097434 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 24 -14.220552 2.8261413 0.52499903 -0.0000000 8.9342716 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 25 -7.6000860 2.7108418 1.5696485 -0.0000000 8.4675802 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 26 -7.1628563 2.5161342 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 27 -8.4472769 2.6014372 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 28 -15.207090 3.6636024 0.38959113 0.40749133 9.2565151 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 29 -22.695884 3.3796564 0.34635235 -0.0000000 10.619263 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 30 -12.884778 3.3861108 0.44078784 -0.0000000 11.185589 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 31 -15.606810 3.2645526 0.72755720 -0.0000000 10.251633 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 32 -15.558971 4.1138211 1.4401199 -0.0000000 8.5021584 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 33 -12.333444 3.0535304 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 34 -11.555380 3.1291311 0.64683636 -0.0000000 10.012032 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 35 -14.725291 3.3064778 0.76565225 -0.0000000 10.578821 1 . 294 320 0.294 . 295 320 0.128 . 296 320 0.133 . 297 320 0.126 . 298 320 0.136 . 299 320 0.124 . 300 320 0.133 . 301 320 0.128 . 302 320 0.113 . 303 320 0.126 . 304 320 0.120 . 305 320 0.123 . 306 320 0.134 . 307 320 0.137 . 308 320 0.128 . 309 320 0.123 . 310 320 0.123 . 311 320 0.124 . 312 320 0.131 . 313 320 0.119 . 314 320 0.120 . 315 320 0.133 . 316 320 0.126 . 317 320 0.124 . 318 320 0.132 . 319 320 0.133 FITARCIMAGE_GLOBAL: r1: Discarding trace 0, at 5790.6630 with 195 centroids too close to an edge FITARCIMAGE_GLOBAL: r1: Line 1, at 5852.4880 Ang: ERR= 0.0171471 ERR_RMS= 0.00171732 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 2, at 5881.8950 Ang: ERR= 0.0152585 ERR_RMS= 0.0125460 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 3, at 5944.8340 Ang: ERR= 0.00815113 ERR_RMS= 0.0206779 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 4, at 6029.9970 Ang: ERR= 0.0154882 ERR_RMS= 0.0137290 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 5, at 6074.3380 Ang: ERR= 0.00778249 ERR_RMS= 0.0223493 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 6, at 6096.1630 Ang: ERR= 0.00611826 ERR_RMS= 0.0143059 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 7, at 6143.0630 Ang: ERR= 0.00417812 ERR_RMS= 0.00941763 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 8, at 6163.5940 Ang: ERR= 0.00714956 ERR_RMS= 0.0182225 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 9, at 6217.2810 Ang: ERR= 0.00849944 ERR_RMS= 0.0202371 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 10, at 6266.4950 Ang: ERR= 0.00522749 ERR_RMS= 0.0136951 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 11, at 6304.7890 Ang: ERR= 0.00869060 ERR_RMS= 0.0152111 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 12, at 6334.4280 Ang: ERR= 0.00407779 ERR_RMS= 0.00991329 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 13, at 6382.9920 Ang: ERR= 0.00372002 ERR_RMS= 0.00750943 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 14, at 6402.2460 Ang: ERR= 0.00242084 ERR_RMS= 0.00322705 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 15, at 6506.5280 Ang: ERR= 0.00319308 ERR_RMS= 0.00583890 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 16, at 6532.8820 Ang: ERR= 0.00590583 ERR_RMS= 0.0189764 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 17, at 6598.9530 Ang: ERR= 0.00504843 ERR_RMS= 0.0156966 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 18, at 6717.0430 Ang: ERR= 0.00472115 ERR_RMS= 0.0122530 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 19, at 6929.4670 Ang: ERR= 0.00390657 ERR_RMS= 0.00819442 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 20, at 7173.9380 Ang: ERR= 0.00861495 ERR_RMS= 0.0190504 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 21, at 7245.1670 Ang: ERR= 0.00397080 ERR_RMS= 0.00853365 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 22, at 7438.9000 Ang: ERR= 0.00848027 ERR_RMS= 0.00957531 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 23, at 7488.8710 Ang: ERR= 0.0156864 ERR_RMS= 0.00138334 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 24, at 7535.7740 Ang: ERR= 0.0177914 ERR_RMS= 0.00168414 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 25, at 7635.1060 Ang: ERR= 0.0287308 ERR_RMS= 0.00302682 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 26, at 8014.7860 Ang: ERR= 0.0731609 ERR_RMS= 0.0171047 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 27, at 8103.6930 Ang: ERR= 0.0543657 ERR_RMS= 0.0177700 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 28, at 8300.3260 Ang: ERR= 0.0239637 ERR_RMS= 0.00264966 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 29, at 8377.6065 Ang: ERR= 0.00947477 ERR_RMS= 0.00925661 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 30, at 8495.3598 Ang: ERR= 0.0135725 ERR_RMS= 0.00126748 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 31, at 8591.2583 Ang: ERR= 0.0252734 ERR_RMS= 0.00271195 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 32, at 8634.6470 Ang: ERR= 0.0271524 ERR_RMS= 0.00298533 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 33, at 8654.3831 Ang: ERR= 0.0170999 ERR_RMS= 0.00175210 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 34, at 8853.8670 Ang: ERR= 0.0401817 ERR_RMS= 0.00475082 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 35, at 9122.9674 Ang: ERR= 0.0806362 ERR_RMS= 0.0146147 pix, 8 masked. FITARCIMAGE_GLOBAL: r1: Number of good arc lines: 35 FITARCIMAGE_GLOBAL: r1: Number of arclines = 35 TRACE# NPOINTS NREJECT 0 35 1 1 35 0 2 35 0 3 35 1 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 2 27 35 1 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 1 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 3 46 35 3 47 35 1 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 24 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 1 99 35 1 100 35 0 101 35 0 102 35 0 103 35 1 104 35 2 105 35 1 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 1 138 35 0 139 35 0 140 35 0 141 35 1 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 1 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 14 174 35 8 175 35 1 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 1 183 35 0 184 35 0 185 35 0 186 35 0 187 35 1 188 35 2 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 1 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 14 250 35 0 251 35 23 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 21 295 35 1 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 3 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 1 317 35 0 318 35 0 319 35 1 XY2TRACESET: r1: Total rejected = 138 Pass 1 complete FITARCIMAGE_GLOBAL: r1: Number of arclines after bundle test = 35 FITARCLINES: r1: ncoeffs (x,y): 4 5 FITARCLINES: r1: fit rchi2: 0.088918869 FITARCLINES: r1: offset stddev: 320 2.3391478e-13 FITARCLINES: r1: scale stddev: 320 5.3842835e-13 FITARCLINES: r1: poly x,y,stddev: 0 0 5.2095028e-07 FITARCLINES: r1: poly x,y,stddev: 1 0 1.5541924e-06 FITARCLINES: r1: poly x,y,stddev: 2 0 1.2480578e-06 FITARCLINES: r1: poly x,y,stddev: 3 0 2.4924535e-06 FITARCLINES: r1: poly x,y,stddev: 0 1 3.7339890e-07 FITARCLINES: r1: poly x,y,stddev: 1 1 1.1186234e-06 FITARCLINES: r1: poly x,y,stddev: 2 1 9.0104027e-07 FITARCLINES: r1: poly x,y,stddev: 3 1 1.7990902e-06 FITARCLINES: r1: poly x,y,stddev: 0 2 2.5992485e-07 FITARCLINES: r1: poly x,y,stddev: 1 2 7.6370121e-07 FITARCLINES: r1: poly x,y,stddev: 2 2 6.0244891e-07 FITARCLINES: r1: poly x,y,stddev: 3 2 1.2059606e-06 FITARCLINES: r1: correcting per-fiber coefficients for fibers: 90 239 251 260 294 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: BADARC lines masked: 90 239 251 260 294 FITARCIMAGE_GLOBAL: r1: IVAR=0 centroids masked: 107 Final arcfit complete FITARCIMAGE_GLOBAL: r1: Time 62. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 2 1.00 7.88 .0001 4 1.00 6.09 .0002 2 1.00 8.09 .0003 2 1.00 8.45 .0004 3 1.00 6.68 .0005 3 1.00 7.49 .0006 2 1.00 8.47 .0007 2 1.00 7.98 .0008 2 1.00 8.36 .0009 3 1.00 8.29 .0010 3 1.00 7.72 .0011 3 1.00 7.13 .0012 2 1.00 7.13 .0013 2 1.00 7.12 .0014 3 1.00 7.13 .0015 3 1.00 7.05 .0016 2 1.00 8.38 .0017 2 1.00 7.77 .0018 3 1.00 7.02 .0019 3 1.00 6.56 .0020 3 1.00 6.98 .0021 3 1.00 7.46 .0022 2 1.00 7.32 .0023 2 1.00 7.67 .0024 3 1.00 7.81 .0025 3 1.00 7.19 .0026 3 1.00 6.70 .0027 2 1.00 8.00 .0028 2 1.00 7.96 .0029 2 1.00 7.38 .0030 3 1.00 7.88 .0031 3 1.00 7.51 .0032 3 1.00 6.85 .0033 2 1.00 7.18 .0034 2 1.00 7.36 .0035 3 1.00 7.61 .0036 3 1.00 7.03 .0037 3 1.00 6.79 .0038 3 1.00 7.90 .0039 2 1.00 6.85 .0040 3 1.00 7.05 .0041 2 1.00 8.10 .0042 3 1.00 7.38 .0043 3 1.00 7.57 .0044 3 1.00 8.35 .0045 4 1.00 6.27 .0046 3 1.00 6.57 .0047 3 1.00 6.92 .0048 3 1.00 7.28 .0049 3 1.00 7.21 .0050 3 1.00 7.01 .0051 4 1.00 6.82 .0052 2 1.00 9.04 .0053 2 1.00 8.45 .0054 3 1.00 6.69 .0055 3 1.00 7.43 .0056 2 1.00 8.76 .0057 2 1.00 9.33 .0058 3 1.00 7.22 .0059 2 1.00 6.93 .0060 3 1.00 7.17 .0061 3 1.00 7.47 .0062 3 1.00 7.88 .0063 3 1.00 7.08 .0064 3 1.00 6.78 .0065 3 1.00 6.51 .0066 3 1.00 7.32 .0067 3 1.00 7.03 .0068 3 1.00 7.23 .0069 3 1.00 6.71 .0070 3 1.00 7.10 .0071 3 1.00 6.93 .0072 3 1.00 7.22 .0073 3 1.00 7.11 .0074 3 1.00 7.23 .0075 3 1.00 7.35 .0076 3 1.00 6.98 .0077 3 1.00 7.20 .0078 3 1.00 7.71 .0079 3 1.00 7.66 .0080 4 1.00 5.36 .0081 3 1.00 4.58 .0082 3 1.00 6.77 .0083 4 1.00 5.11 .0084 3 1.00 4.55 .0085 3 1.00 4.95 .0086 4 1.00 5.58 .0087 3 1.00 5.52 .0088 4 1.00 4.92 .0089 4 1.00 4.93 .0090 1 1.00 0.95 .0091 3 1.00 2.00 .0092 4 1.00 5.06 .0093 3 1.00 5.10 .0094 4 1.00 5.18 .0095 4 1.00 5.30 .0096 4 1.00 5.02 .0097 4 1.00 5.08 .0098 3 1.00 4.45 .0099 2 1.00 4.63 .0100 3 1.00 5.08 .0101 3 1.00 5.24 .0102 4 1.00 4.58 .0103 4 1.00 5.75 .0104 2 1.00 6.39 .0105 4 1.00 5.34 .0106 3 1.00 5.75 .0107 3 1.00 4.95 .0108 4 1.00 5.45 .0109 3 1.00 5.76 .0110 4 1.00 5.42 .0111 3 1.00 6.12 .0112 3 1.00 7.29 .0113 3 1.00 6.29 .0114 6 1.00 5.05 .0115 5 1.00 5.67 .0116 3 1.00 5.24 .0117 3 1.00 5.51 .0118 4 1.00 5.71 .0119 3 1.00 6.52 .0120 4 1.00 4.51 .0121 3 1.00 4.80 .0122 4 1.00 4.86 .0123 4 1.00 5.19 .0124 4 1.00 5.01 .0125 3 1.00 5.41 .0126 3 1.00 5.48 .0127 3 1.00 6.28 .0128 5 1.00 4.88 .0129 5 1.00 4.83 .0130 5 1.00 5.37 .0131 4 1.00 5.02 .0132 3 1.00 4.94 .0133 4 1.00 5.28 .0134 3 1.00 7.12 .0135 4 1.00 5.99 .0136 3 1.00 5.28 .0137 4 1.00 4.38 .0138 5 1.00 4.81 .0139 4 1.00 5.35 .0140 3 1.00 5.40 .0141 3 1.00 7.83 .0142 3 1.00 6.04 .0143 4 1.00 6.10 .0144 5 1.00 5.06 .0145 3 1.00 6.14 .0146 3 1.00 7.28 .0147 3 1.00 7.00 .0148 3 1.00 7.27 .0149 5 1.00 5.53 .0150 3 1.00 7.00 .0151 4 1.00 5.52 .0152 4 1.00 4.57 .0153 4 1.00 4.91 .0154 3 1.00 6.12 .0155 3 1.00 6.08 .0156 3 1.00 6.09 .0157 3 1.00 6.78 .0158 3 1.00 6.33 .0159 3 1.00 6.34 .0160 5 1.00 5.55 .0161 3 1.00 7.26 .0162 3 1.00 6.16 .0163 3 1.00 7.00 .0164 3 1.00 6.84 .0165 3 1.00 6.87 .0166 3 1.00 7.26 .0167 3 1.00 7.04 .0168 4 1.00 5.48 .0169 4 1.00 7.12 .0170 4 1.00 5.51 .0171 2 1.00 7.27 .0172 5 1.00 5.56 .0173 4 1.00 1.47 .0174 1 1.00 4.94 .0175 4 1.00 5.56 .0176 3 1.00 6.39 .0177 3 1.00 7.58 .0178 3 1.00 5.71 .0179 4 1.00 4.84 .0180 3 1.00 5.73 .0181 3 1.00 5.94 .0182 3 1.00 5.68 .0183 4 1.00 4.95 .0184 4 1.00 4.05 .0185 3 1.00 5.57 .0186 3 1.00 5.24 .0187 3 1.00 5.25 .0188 3 1.00 4.23 .0189 3 1.00 5.35 .0190 3 1.00 5.53 .0191 3 1.00 5.75 .0192 3 1.00 5.64 .0193 3 1.00 4.99 .0194 3 1.00 5.87 .0195 3 1.00 5.58 .0196 3 1.00 5.68 .0197 3 1.00 6.63 .0198 3 1.00 6.22 .0199 3 1.00 5.94 .0200 3 1.00 6.68 .0201 3 1.00 6.85 .0202 3 1.00 6.48 .0203 4 1.00 6.26 .0204 4 1.00 5.82 .0205 3 1.00 6.06 .0206 3 1.00 5.66 .0207 3 1.00 6.18 .0208 3 1.00 5.56 .0209 4 1.00 6.07 .0210 4 1.00 5.48 .0211 3 1.00 5.97 .0212 4 1.00 4.97 .0213 3 1.00 5.84 .0214 4 1.00 6.12 .0215 4 1.00 6.11 .0216 3 1.00 6.25 .0217 4 1.00 6.53 .0218 6 1.00 5.28 .0219 5 1.00 5.22 .0220 6 1.00 5.15 .0221 4 1.00 6.33 .0222 3 1.00 6.64 .0223 3 1.00 6.84 .0224 3 1.00 6.58 .0225 3 1.00 7.27 .0226 3 1.00 6.91 .0227 3 1.00 6.76 .0228 5 1.00 5.96 .0229 2 1.00 7.18 .0230 4 1.00 5.30 .0231 4 1.00 6.60 .0232 4 1.00 6.03 .0233 4 1.00 6.09 .0234 4 1.00 5.40 .0235 5 1.00 5.95 .0236 4 1.00 5.85 .0237 5 1.00 4.85 .0238 5 1.00 5.67 .0239 2 1.00 129.91 .0240 3 1.00 5.28 .0241 3 1.00 5.37 .0242 5 1.00 4.82 .0243 3 1.00 6.15 .0244 3 1.00 6.26 .0245 5 1.00 4.61 .0246 4 1.00 5.43 .0247 4 1.00 5.67 .0248 4 1.00 5.07 .0249 1 1.00 3.53 .0250 4 1.00 5.33 .0251 1 1.00 1.08 .0252 3 1.00 5.14 .0253 3 1.00 5.18 .0254 3 1.00 5.28 .0255 3 1.00 5.59 .0256 3 1.00 6.79 .0257 6 1.00 4.33 .0258 4 1.00 4.52 .0259 5 1.00 4.54 .0260 2 1.00 11.47 .0261 3 1.00 4.69 .0262 3 1.00 4.47 .0263 5 1.00 4.16 .0264 4 1.00 4.14 .0265 3 1.00 4.37 .0266 3 1.00 4.41 .0267 3 1.00 4.27 .0268 3 1.00 4.91 .0269 4 1.00 5.59 .0270 3 1.00 4.49 .0271 3 1.00 4.81 .0272 4 1.00 4.36 .0273 4 1.00 4.63 .0274 4 1.00 4.46 .0275 4 1.00 4.45 .0276 5 1.00 4.17 .0277 3 1.00 4.53 .0278 4 1.00 4.34 .0279 3 1.00 5.47 .0280 5 1.00 4.68 .0281 4 1.00 5.66 .0282 4 1.00 5.71 .0283 5 1.00 4.40 .0284 3 1.00 5.71 .0285 4 1.00 4.69 .0286 3 1.00 4.65 .0287 3 1.00 5.14 .0288 3 1.00 4.68 .0289 4 1.00 5.42 .0290 3 1.00 5.33 .0291 6 1.00 4.83 .0292 5 1.00 5.22 .0293 4 1.00 4.17 .0294 1 1.00 0.91 .0295 4 1.00 4.90 .0296 4 1.00 5.17 .0297 4 1.00 4.69 .0298 3 1.00 5.27 .0299 4 1.00 5.12 .0300 5 1.00 4.27 .0301 3 1.00 5.02 .0302 4 1.00 4.18 .0303 3 1.00 4.57 .0304 4 1.00 4.42 .0305 4 1.00 4.17 .0306 4 1.00 4.31 .0307 4 1.00 4.17 .0308 3 1.00 5.61 .0309 4 1.00 4.96 .0310 3 1.00 4.42 .0311 3 1.00 4.68 .0312 6 1.00 4.65 .0313 3 1.00 5.08 .0314 3 1.00 4.96 .0315 5 1.00 5.05 .0316 4 1.00 4.89 .0317 4 1.00 5.38 .0318 5 1.00 5.35 .0319 4 1.00 4.31 EXTRACT_IMAGE: r1: masked 868 pixels TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 0 FITDISPERSION: r1: Median wavelength widths = 0.86 0.90 0.79 0.79 pix (LL LR UL UR) SPCALIB: r1: Create fiberflats for flat # 1 of 2 SPCALIB: r1: Flat sdR-r1-00034585.fit paired with arc sdR-r1-00034586.fit SPCALIB: r1: Reading flat sdR-r1-00034585.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.91426 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1192.29 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.75526 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1241.24 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 2 1.02 1.38 .0001 2 1.02 1.33 .0002 2 1.02 1.24 .0003 2 1.02 1.29 .0004 2 1.02 1.23 .0005 2 1.02 1.31 .0006 2 1.02 1.30 .0007 2 1.02 1.28 .0008 2 1.02 1.19 .0009 2 1.02 1.30 .0010 2 1.02 1.29 .0011 2 1.02 1.44 .0012 2 1.02 1.30 .0013 2 1.02 1.27 .0014 2 1.02 1.37 .0015 2 1.02 1.39 .0016 2 1.02 1.31 .0017 2 1.02 1.39 .0018 2 1.02 1.46 .0019 2 1.02 1.31 .0020 2 1.02 1.42 .0021 2 1.02 1.31 .0022 2 1.02 1.39 .0023 2 1.02 1.45 .0024 2 1.02 1.29 .0025 2 1.02 1.47 .0026 2 1.02 1.43 .0027 2 1.01 1.45 .0028 2 1.01 1.39 .0029 2 1.01 1.39 .0030 2 1.01 1.46 .0031 2 1.01 1.42 .0032 2 1.01 1.47 .0033 2 1.01 1.49 .0034 2 1.01 1.48 .0035 2 1.01 1.64 .0036 2 1.01 1.54 .0037 2 1.01 1.56 .0038 2 1.01 1.54 .0039 2 1.01 1.58 .0040 2 1.01 1.74 .0041 3 1.01 1.72 .0042 2 1.01 1.69 .0043 2 1.01 1.70 .0044 2 1.01 1.64 .0045 2 1.01 1.73 .0046 1 1.01 1.92 .0047 1 1.01 2.04 .0048 1 1.01 2.10 .0049 1 1.01 1.94 .0050 1 1.01 2.01 .0051 2 1.01 2.03 .0052 1 1.01 2.31 .0053 1 1.01 2.13 .0054 1 1.01 2.07 .0055 1 1.01 2.06 .0056 1 1.01 2.14 .0057 1 1.01 2.15 .0058 1 1.01 2.06 .0059 1 1.01 2.12 .0060 1 1.01 1.98 .0061 1 1.01 2.04 .0062 1 1.01 2.27 .0063 1 1.01 2.06 .0064 1 1.01 2.19 .0065 1 1.01 2.13 .0066 1 1.01 2.07 .0067 1 1.01 2.23 .0068 1 1.01 2.38 .0069 2 1.01 2.57 .0070 2 1.01 2.27 .0071 1 1.01 2.18 .0072 1 1.01 2.28 .0073 1 1.01 2.22 .0074 1 1.01 2.41 .0075 1 1.01 2.24 .0076 1 1.01 2.27 .0077 1 1.01 2.30 .0078 1 1.01 2.38 .0079 1 1.00 2.38 .0080 1 1.00 2.57 .0081 1 1.00 2.41 .0082 1 1.00 2.40 .0083 1 1.00 2.36 .0084 1 1.00 2.32 .0085 1 1.00 2.26 .0086 1 1.00 2.67 .0087 2 1.00 2.67 .0088 1 1.00 2.40 .0089 1 1.00 2.38 .0090 1 1.00 2.31 .0091 1 1.00 2.47 .0092 1 1.00 2.34 .0093 1 1.00 2.42 .0094 1 1.00 2.48 .0095 1 1.00 2.41 .0096 1 1.00 2.49 .0097 1 1.00 2.46 .0098 1 1.00 2.31 .0099 1 1.00 2.87 .0100 3 1.00 2.33 .0101 1 1.00 2.45 .0102 1 1.00 2.44 .0103 1 1.00 2.90 .0104 1 1.00 2.44 .0105 2 1.00 2.30 .0106 1 1.00 2.35 .0107 1 1.00 2.45 .0108 1 1.00 2.38 .0109 1 1.00 2.48 .0110 1 1.00 2.44 .0111 2 1.00 2.62 .0112 1 1.00 2.50 .0113 2 1.00 2.36 .0114 2 1.00 2.40 .0115 1 1.00 2.40 .0116 1 1.00 2.35 .0117 1 1.00 2.32 .0118 1 1.00 2.41 .0119 1 1.00 2.47 .0120 1 1.00 2.31 .0121 1 1.00 2.46 .0122 1 1.00 2.53 .0123 1 1.00 2.52 .0124 1 1.00 2.43 .0125 1 1.00 2.48 .0126 1 1.00 2.54 .0127 1 1.00 2.67 .0128 1 1.00 2.47 .0129 1 1.00 2.61 .0130 1 1.00 2.46 .0131 1 1.00 2.53 .0132 1 1.00 2.55 .0133 1 1.00 2.37 .0134 1 1.00 2.48 .0135 1 1.00 2.67 .0136 1 1.00 2.64 .0137 1 1.00 2.52 .0138 1 0.99 2.52 .0139 1 0.99 2.36 .0140 1 0.99 2.45 .0141 1 0.99 2.51 .0142 1 0.99 2.38 .0143 1 0.99 2.45 .0144 1 0.99 2.56 .0145 1 0.99 2.51 .0146 1 0.99 2.34 .0147 2 0.99 2.57 .0148 1 0.99 2.67 .0149 1 0.99 2.42 .0150 1 0.99 2.90 .0151 3 0.99 2.46 .0152 1 0.99 2.34 .0153 1 0.99 2.28 .0154 1 0.99 2.34 .0155 1 0.99 2.49 .0156 1 0.99 2.48 .0157 1 0.99 2.34 .0158 1 0.99 2.45 .0159 1 0.99 2.40 .0160 1 0.99 2.34 .0161 1 0.99 2.36 .0162 1 0.99 2.23 .0163 1 0.99 2.40 .0164 1 0.99 3.09 .0165 1 0.99 2.26 .0166 1 0.99 2.26 .0167 1 0.99 2.20 .0168 1 0.99 2.43 .0169 1 0.99 2.41 .0170 1 0.99 2.19 .0171 1 0.99 2.30 .0172 1 0.99 2.30 .0173 1 0.99 2.24 .0174 1 0.99 2.19 .0175 1 0.99 2.41 .0176 1 0.99 2.38 .0177 2 0.99 2.43 .0178 2 0.99 2.33 .0179 2 0.99 2.32 .0180 1 0.99 2.32 .0181 1 0.99 2.15 .0182 1 0.99 2.36 .0183 1 0.99 2.35 .0184 3 0.99 2.30 .0185 1 0.99 2.71 .0186 1 0.99 2.32 .0187 1 0.99 2.28 .0188 1 0.99 2.30 .0189 1 0.99 2.19 .0190 1 0.99 2.26 .0191 2 0.99 2.28 .0192 1 0.99 2.33 .0193 1 0.99 2.14 .0194 1 0.99 2.26 .0195 1 0.99 2.35 .0196 1 0.99 2.12 .0197 1 0.99 2.18 .0198 1 0.99 2.24 .0199 2 0.99 2.23 .0200 1 0.99 2.24 .0201 2 0.99 2.55 .0202 1 0.99 2.57 .0203 1 0.98 2.34 .0204 1 0.98 2.39 .0205 1 0.98 2.24 .0206 1 0.98 2.18 .0207 1 0.98 2.35 .0208 1 0.98 2.23 .0209 1 0.98 2.43 .0210 1 0.98 2.35 .0211 1 0.98 2.53 .0212 2 0.98 2.65 .0213 2 0.98 2.55 .0214 2 0.98 2.61 .0215 3 0.98 2.41 .0216 2 0.98 2.52 .0217 1 0.98 2.64 .0218 1 0.98 2.58 .0219 1 0.98 2.48 .0220 2 0.98 2.94 .0221 2 0.98 2.71 .0222 1 0.98 2.51 .0223 1 0.98 2.64 .0224 1 0.98 2.57 .0225 1 0.98 2.71 .0226 1 0.98 2.76 .0227 1 0.98 2.90 .0228 1 0.98 2.77 .0229 1 0.98 2.76 .0230 1 0.98 2.99 .0231 2 0.98 2.93 .0232 1 0.98 2.94 .0233 1 0.98 2.85 .0234 1 0.98 3.03 .0235 3 0.98 3.01 .0236 1 0.98 3.07 .0237 1 0.98 2.93 .0238 1 0.98 2.84 .0239 1 0.98 2.83 .0240 1 0.98 2.90 .0241 1 0.98 2.79 .0242 1 0.98 2.99 .0243 1 0.98 2.93 .0244 1 0.98 2.78 .0245 1 0.98 3.04 .0246 1 0.98 2.90 .0247 1 0.98 2.99 .0248 1 0.98 2.98 .0249 1 0.98 3.08 .0250 1 0.98 3.13 .0251 1 0.98 3.02 .0252 1 0.98 3.10 .0253 1 0.98 3.14 .0254 1 0.98 2.87 .0255 1 0.98 3.02 .0256 1 0.98 3.13 .0257 1 0.98 3.00 .0258 1 0.98 3.11 .0259 1 0.98 3.00 .0260 1 0.98 3.15 .0261 1 0.98 3.10 .0262 1 0.98 2.94 .0263 1 0.98 3.17 .0264 2 0.98 2.94 .0265 1 0.98 3.01 .0266 1 0.98 2.90 .0267 1 0.98 2.99 .0268 1 0.98 3.02 .0269 1 0.98 3.07 .0270 1 0.98 2.98 .0271 1 0.98 2.85 .0272 1 0.98 2.95 .0273 1 0.98 2.74 .0274 1 0.98 2.86 .0275 1 0.98 2.96 .0276 1 0.98 2.77 .0277 1 0.97 2.81 .0278 1 0.97 2.80 .0279 1 0.97 2.84 .0280 1 0.97 2.97 .0281 1 0.97 2.80 .0282 1 0.97 2.78 .0283 1 0.97 2.93 .0284 1 0.97 2.88 .0285 1 0.97 3.16 .0286 1 0.97 2.81 .0287 1 0.97 2.64 .0288 1 0.97 2.90 .0289 1 0.97 2.72 .0290 1 0.97 2.93 .0291 1 0.97 2.71 .0292 1 0.97 3.00 .0293 1 0.97 2.62 .0294 1 0.97 2.68 .0295 1 0.97 2.71 .0296 1 0.97 2.57 .0297 1 0.97 2.59 .0298 1 0.97 2.50 .0299 1 0.97 2.48 .0300 2 0.97 2.56 .0301 1 0.97 2.42 .0302 1 0.97 2.45 .0303 1 0.97 2.43 .0304 1 0.97 2.60 .0305 1 0.97 2.47 .0306 1 0.97 2.54 .0307 1 0.97 2.44 .0308 1 0.97 2.49 .0309 1 0.97 2.44 .0310 1 0.97 2.51 .0311 1 0.97 2.62 .0312 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1 0.91 4.62 .1756 1 0.91 4.73 .1757 1 0.91 4.51 .1758 1 0.91 4.47 .1759 1 0.91 4.51 .1760 1 0.91 4.59 .1761 1 0.91 4.72 .1762 1 0.91 4.27 .1763 1 0.91 4.36 .1764 1 0.91 4.60 .1765 1 0.91 4.63 .1766 1 0.91 4.59 .1767 1 0.91 4.40 .1768 1 0.91 4.40 .1769 1 0.91 4.55 .1770 1 0.91 4.40 .1771 1 0.91 4.48 .1772 1 0.91 4.50 .1773 1 0.91 4.53 .1774 1 0.91 4.42 .1775 1 0.91 4.37 .1776 1 0.91 4.39 .1777 1 0.91 4.33 .1778 1 0.91 4.45 .1779 1 0.91 4.44 .1780 1 0.91 4.54 .1781 1 0.91 4.52 .1782 1 0.91 4.63 .1783 1 0.91 4.45 .1784 1 0.91 4.48 .1785 1 0.91 4.76 .1786 1 0.91 4.54 .1787 1 0.91 4.40 .1788 1 0.91 4.63 .1789 1 0.91 4.40 .1790 1 0.91 4.47 .1791 1 0.91 4.53 .1792 1 0.91 4.54 .1793 1 0.91 4.43 .1794 1 0.91 4.33 .1795 1 0.91 4.28 .1796 1 0.91 4.41 .1797 1 0.91 4.45 .1798 1 0.91 4.71 .1799 1 0.91 4.50 .1800 1 0.91 4.38 .1801 1 0.91 4.44 .1802 1 0.91 4.42 .1803 1 0.91 4.46 .1804 1 0.91 4.11 .1805 1 0.91 4.16 .1806 1 0.91 4.38 .1807 1 0.91 4.35 .1808 1 0.91 4.24 .1809 2 0.91 4.44 .1810 1 0.91 4.53 .1811 1 0.91 4.58 .1812 1 0.91 4.61 .1813 1 0.91 4.46 .1814 1 0.91 4.37 .1815 1 0.91 4.19 .1816 1 0.91 4.49 .1817 1 0.91 4.60 .1818 1 0.91 4.38 .1819 1 0.91 4.09 .1820 1 0.91 4.42 .1821 1 0.91 4.66 .1822 1 0.91 4.52 .1823 1 0.91 4.68 .1824 1 0.91 4.55 .1825 1 0.91 4.56 .1826 1 0.91 4.55 .1827 1 0.91 4.54 .1828 1 0.91 4.53 .1829 1 0.91 4.59 .1830 1 0.91 4.41 .1831 1 0.91 4.48 .1832 1 0.91 4.52 .1833 1 0.91 4.72 .1834 1 0.91 4.89 .1835 1 0.91 4.68 .1836 1 0.91 4.54 .1837 1 0.91 4.49 .1838 1 0.91 4.34 .1839 1 0.91 4.81 .1840 1 0.91 4.64 .1841 1 0.91 4.50 .1842 1 0.91 5.12 .1843 1 0.91 4.45 .1844 1 0.91 4.57 .1845 1 0.91 4.75 .1846 1 0.91 4.58 .1847 1 0.91 4.59 .1848 1 0.91 4.71 .1849 1 0.91 4.69 .1850 1 0.91 4.80 .1851 1 0.91 4.80 .1852 1 0.91 4.45 .1853 1 0.91 4.58 .1854 1 0.91 4.76 .1855 1 0.91 4.36 .1856 1 0.91 4.37 .1857 1 0.91 4.52 .1858 1 0.91 4.56 .1859 1 0.91 4.78 .1860 1 0.91 4.81 .1861 1 0.91 5.07 .1862 1 0.91 4.94 .1863 1 0.91 4.72 .1864 1 0.91 4.81 .1865 1 0.91 4.66 .1866 1 0.91 4.95 .1867 1 0.91 4.86 .1868 1 0.91 4.81 .1869 1 0.91 4.84 .1870 1 0.91 4.86 .1871 1 0.91 4.77 .1872 1 0.91 4.79 .1873 1 0.91 4.77 .1874 1 0.91 4.87 .1875 1 0.91 5.01 .1876 1 0.91 5.15 .1877 1 0.91 4.82 .1878 1 0.91 4.95 .1879 1 0.91 4.91 .1880 1 0.91 4.70 .1881 1 0.91 4.78 .1882 1 0.91 4.50 .1883 1 0.91 5.02 .1884 1 0.91 4.65 .1885 1 0.91 4.74 .1886 1 0.91 4.71 .1887 1 0.91 4.73 .1888 1 0.91 5.33 .1889 1 0.91 4.90 .1890 1 0.91 4.88 .1891 1 0.91 4.67 .1892 1 0.91 4.90 .1893 1 0.91 4.98 .1894 1 0.91 4.65 .1895 1 0.91 4.64 .1896 1 0.91 4.63 .1897 1 0.91 4.65 .1898 1 0.91 4.90 .1899 1 0.91 4.70 .1900 1 0.91 4.75 .1901 1 0.91 5.01 .1902 1 0.91 4.80 .1903 1 0.91 5.06 .1904 1 0.91 4.91 .1905 1 0.91 5.20 .1906 1 0.91 5.32 .1907 1 0.91 5.28 .1908 1 0.91 5.26 .1909 1 0.91 5.05 .1910 1 0.91 5.00 .1911 1 0.91 4.88 .1912 1 0.91 4.84 .1913 1 0.91 4.96 .1914 1 0.91 4.93 .1915 1 0.91 4.83 .1916 1 0.91 4.85 .1917 1 0.91 4.81 .1918 1 0.91 4.71 .1919 1 0.91 4.66 .1920 1 0.91 5.06 .1921 1 0.91 4.59 .1922 1 0.91 4.73 .1923 1 0.91 4.77 .1924 1 0.91 4.88 .1925 1 0.91 4.82 .1926 1 0.91 4.85 .1927 1 0.91 4.51 .1928 1 0.91 4.81 .1929 1 0.91 4.93 .1930 1 0.91 4.60 .1931 1 0.91 4.80 .1932 1 0.91 4.54 .1933 1 0.91 4.82 .1934 1 0.91 4.68 .1935 1 0.91 4.63 .1936 1 0.91 4.74 .1937 1 0.91 4.83 .1938 1 0.91 4.87 .1939 1 0.91 4.75 .1940 1 0.91 4.99 .1941 1 0.91 4.81 .1942 1 0.91 4.80 .1943 1 0.91 4.91 .1944 1 0.91 4.81 .1945 1 0.91 5.23 .1946 1 0.91 4.86 .1947 1 0.91 5.05 .1948 2 0.91 4.59 .1949 2 0.91 4.86 .1950 1 0.91 4.95 .1951 1 0.91 4.70 .1952 1 0.91 4.70 .1953 1 0.91 5.41 .1954 1 0.91 4.61 .1955 1 0.91 5.44 .1956 1 0.91 5.28 .1957 1 0.91 4.86 .1958 1 0.91 4.77 .1959 1 0.91 5.00 .1960 1 0.91 4.94 .1961 1 0.91 4.76 .1962 1 0.91 4.83 .1963 1 0.91 4.92 .1964 1 0.91 4.78 .1965 1 0.91 5.00 .1966 1 0.91 4.57 .1967 1 0.91 5.02 .1968 1 0.91 4.87 .1969 1 0.91 4.97 .1970 1 0.91 4.70 .1971 1 0.91 4.76 .1972 1 0.91 4.71 .1973 1 0.91 4.71 .1974 1 0.91 4.49 .1975 1 0.91 4.92 .1976 1 0.91 4.61 .1977 1 0.91 4.74 .1978 1 0.91 4.55 .1979 2 0.91 4.88 .1980 1 0.91 4.68 .1981 1 0.91 4.58 .1982 1 0.91 4.84 .1983 1 0.91 4.67 .1984 1 0.91 4.70 .1985 1 0.91 4.93 .1986 1 0.91 4.67 .1987 1 0.91 4.63 .1988 1 0.91 4.77 .1989 1 0.91 4.60 .1990 1 0.91 4.80 .1991 1 0.91 5.17 .1992 1 0.91 4.63 .1993 1 0.91 4.64 .1994 1 0.91 4.64 .1995 1 0.91 4.75 .1996 1 0.91 4.59 .1997 1 0.91 4.86 .1998 2 0.91 4.75 .1999 1 0.91 4.77 .2000 1 0.91 4.77 .2001 1 0.91 4.78 .2002 1 0.91 4.90 .2003 1 0.91 4.60 .2004 1 0.91 4.75 .2005 1 0.91 4.56 .2006 1 0.91 4.84 .2007 1 0.91 4.64 .2008 1 0.91 4.54 .2009 1 0.91 4.44 .2010 1 0.91 4.51 .2011 1 0.91 4.66 .2012 1 0.91 4.60 .2013 1 0.91 4.87 .2014 1 0.91 4.39 .2015 2 0.91 4.53 .2016 1 0.91 4.66 .2017 1 0.91 4.45 .2018 1 0.91 4.60 .2019 1 0.91 4.68 .2020 1 0.91 4.82 .2021 1 0.91 4.85 .2022 1 0.91 4.92 .2023 1 0.91 5.03 .2024 1 0.91 4.93 .2025 1 0.91 4.67 .2026 1 0.91 4.78 .2027 1 0.91 4.80 .2028 1 0.91 4.96 .2029 1 0.91 4.84 .2030 1 0.91 4.81 .2031 1 0.91 4.69 .2032 1 0.91 4.71 .2033 1 0.91 4.83 .2034 2 0.91 4.68 .2035 1 0.91 4.90 .2036 1 0.91 4.72 .2037 1 0.91 4.72 .2038 1 0.91 4.46 .2039 1 0.91 4.47 .2040 1 0.91 4.50 .2041 1 0.91 4.85 .2042 1 0.91 5.16 .2043 1 0.91 4.72 .2044 1 0.91 4.92 .2045 1 0.91 4.59 .2046 1 0.91 4.44 .2047 1 0.91 4.55 EXTRACT_IMAGE: r1: masked 265 pixels DOSCATTER: r1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r1: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r1: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.17 Step 12 of 2112 0.58 96 0.02 0.16 Step 20 of 2112 0.58 96 0.02 0.17 Step 28 of 2112 0.58 96 0.02 0.16 Step 36 of 2112 0.58 96 0.02 0.15 Step 44 of 2112 0.58 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.16 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.03 0.15 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.16 Step 100 of 2112 0.59 96 0.02 0.15 Step 108 of 2112 0.59 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.14 Step 132 of 2112 0.60 96 0.03 0.16 Step 140 of 2112 0.60 96 0.03 0.15 Step 148 of 2112 0.60 96 0.02 0.14 Step 156 of 2112 0.60 96 0.02 0.14 Step 164 of 2112 0.60 96 0.02 0.14 Step 172 of 2112 0.60 96 0.02 0.14 Step 180 of 2112 0.60 96 0.02 0.14 Step 188 of 2112 0.61 96 0.02 0.14 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.16 Step 212 of 2112 0.61 96 0.02 0.15 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.61 96 0.02 0.14 Step 236 of 2112 0.61 96 0.02 0.16 Step 244 of 2112 0.61 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.14 Step 276 of 2112 0.62 96 0.02 0.17 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.62 96 0.02 0.15 Step 308 of 2112 0.62 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.16 Step 324 of 2112 0.63 96 0.03 0.19 Step 332 of 2112 0.63 96 0.02 0.16 Step 340 of 2112 0.63 96 0.03 0.18 Step 348 of 2112 0.63 96 0.02 0.16 Step 356 of 2112 0.63 96 0.02 0.16 Step 364 of 2112 0.63 96 0.03 0.16 Step 372 of 2112 0.63 96 0.02 0.17 Step 380 of 2112 0.64 96 0.02 0.16 Step 388 of 2112 0.64 96 0.03 0.16 Step 396 of 2112 0.64 96 0.03 0.16 Step 404 of 2112 0.64 96 0.03 0.16 Step 412 of 2112 0.64 96 0.02 0.17 Step 420 of 2112 0.64 96 0.03 0.18 Step 428 of 2112 0.64 96 0.02 0.16 Step 436 of 2112 0.64 96 0.02 0.14 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.14 Step 460 of 2112 0.65 96 0.02 0.14 Step 468 of 2112 0.65 96 0.02 0.14 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.03 0.22 Step 492 of 2112 0.65 128 0.03 0.25 Step 500 of 2112 0.65 128 0.03 0.23 Step 508 of 2112 0.66 128 0.03 0.24 Step 516 of 2112 0.66 128 0.03 0.22 Step 524 of 2112 0.66 128 0.03 0.22 Step 532 of 2112 0.66 128 0.03 0.22 Step 540 of 2112 0.66 128 0.03 0.22 Step 548 of 2112 0.66 128 0.03 0.22 Step 556 of 2112 0.66 128 0.02 0.20 Step 564 of 2112 0.66 128 0.03 0.21 Step 572 of 2112 0.67 128 0.02 0.20 Step 580 of 2112 0.67 128 0.02 0.21 Step 588 of 2112 0.67 128 0.02 0.19 Step 596 of 2112 0.67 128 0.03 0.20 Step 604 of 2112 0.67 128 0.02 0.21 Step 612 of 2112 0.67 128 0.03 0.22 Step 620 of 2112 0.67 128 0.02 0.21 Step 628 of 2112 0.67 128 0.02 0.22 Step 636 of 2112 0.68 128 0.02 0.21 Step 644 of 2112 0.68 128 0.02 0.22 Step 652 of 2112 0.68 128 0.02 0.22 Step 660 of 2112 0.68 128 0.02 0.22 Step 668 of 2112 0.68 128 0.02 0.22 Step 676 of 2112 0.68 128 0.02 0.21 Step 684 of 2112 0.68 128 0.02 0.23 Step 692 of 2112 0.69 128 0.02 0.22 Step 700 of 2112 0.69 128 0.02 0.21 Step 708 of 2112 0.69 128 0.02 0.23 Step 716 of 2112 0.69 128 0.02 0.22 Step 724 of 2112 0.69 128 0.03 0.24 Step 732 of 2112 0.69 128 0.03 0.25 Step 740 of 2112 0.69 128 0.03 0.24 Step 748 of 2112 0.69 128 0.02 0.22 Step 756 of 2112 0.70 128 0.02 0.21 Step 764 of 2112 0.70 128 0.02 0.21 Step 772 of 2112 0.70 128 0.02 0.20 Step 780 of 2112 0.70 128 0.02 0.20 Step 788 of 2112 0.70 128 0.04 0.22 Step 796 of 2112 0.70 128 0.02 0.20 Step 804 of 2112 0.70 128 0.02 0.20 Step 812 of 2112 0.70 128 0.02 0.22 Step 820 of 2112 0.71 128 0.03 0.21 Step 828 of 2112 0.71 128 0.03 0.23 Step 836 of 2112 0.71 128 0.03 0.23 Step 844 of 2112 0.71 128 0.03 0.22 Step 852 of 2112 0.71 128 0.03 0.21 Step 860 of 2112 0.71 128 0.03 0.21 Step 868 of 2112 0.71 128 0.03 0.22 Step 876 of 2112 0.72 128 0.03 0.23 Step 884 of 2112 0.72 128 0.03 0.21 Step 892 of 2112 0.72 128 0.03 0.20 Step 900 of 2112 0.72 128 0.03 0.21 Step 908 of 2112 0.72 128 0.03 0.21 Step 916 of 2112 0.72 128 0.02 0.20 Step 924 of 2112 0.72 128 0.02 0.20 Step 932 of 2112 0.72 128 0.02 0.22 Step 940 of 2112 0.73 128 0.03 0.22 Step 948 of 2112 0.73 128 0.02 0.20 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.02 0.20 Step 972 of 2112 0.73 128 0.02 0.21 Step 980 of 2112 0.73 160 0.04 0.36 Step 988 of 2112 0.73 160 0.03 0.33 Step 996 of 2112 0.74 160 0.03 0.32 Step 1004 of 2112 0.74 160 0.03 0.32 Step 1012 of 2112 0.74 160 0.04 0.33 Step 1020 of 2112 0.74 160 0.04 0.32 Step 1028 of 2112 0.74 160 0.03 0.32 Step 1036 of 2112 0.74 160 0.03 0.32 Step 1044 of 2112 0.74 160 0.03 0.34 Step 1052 of 2112 0.75 160 0.03 0.32 Step 1060 of 2112 0.75 160 0.03 0.33 Step 1068 of 2112 0.75 160 0.03 0.34 Step 1076 of 2112 0.75 160 0.03 0.34 Step 1084 of 2112 0.75 160 0.03 0.35 Step 1092 of 2112 0.75 160 0.03 0.35 Step 1100 of 2112 0.75 160 0.03 0.34 Step 1108 of 2112 0.75 160 0.03 0.36 Step 1116 of 2112 0.76 160 0.03 0.36 Step 1124 of 2112 0.76 160 0.03 0.36 Step 1132 of 2112 0.76 160 0.04 0.36 Step 1140 of 2112 0.76 160 0.03 0.39 Step 1148 of 2112 0.76 160 0.03 0.38 Step 1156 of 2112 0.76 160 0.04 0.35 Step 1164 of 2112 0.76 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.33 Step 1180 of 2112 0.77 160 0.03 0.33 Step 1188 of 2112 0.77 160 0.03 0.33 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.03 0.32 Step 1212 of 2112 0.77 160 0.03 0.33 Step 1220 of 2112 0.77 160 0.04 0.35 Step 1228 of 2112 0.78 160 0.04 0.35 Step 1236 of 2112 0.78 160 0.04 0.37 Step 1244 of 2112 0.78 160 0.05 0.39 Step 1252 of 2112 0.78 160 0.05 0.37 Step 1260 of 2112 0.78 160 0.04 0.37 Step 1268 of 2112 0.78 160 0.04 0.37 Step 1276 of 2112 0.78 160 0.03 0.34 Step 1284 of 2112 0.78 160 0.03 0.33 Step 1292 of 2112 0.79 160 0.03 0.34 Step 1300 of 2112 0.79 160 0.04 0.35 Step 1308 of 2112 0.79 160 0.04 0.36 Step 1316 of 2112 0.79 160 0.04 0.36 Step 1324 of 2112 0.79 160 0.05 0.34 Step 1332 of 2112 0.79 160 0.04 0.33 Step 1340 of 2112 0.79 160 0.04 0.33 Step 1348 of 2112 0.80 160 0.04 0.33 Step 1356 of 2112 0.80 160 0.04 0.35 Step 1364 of 2112 0.80 192 0.05 0.38 Step 1372 of 2112 0.80 192 0.05 0.39 Step 1380 of 2112 0.80 192 0.05 0.37 Step 1388 of 2112 0.80 192 0.04 0.36 Step 1396 of 2112 0.80 192 0.04 0.37 Step 1404 of 2112 0.81 192 0.04 0.36 Step 1412 of 2112 0.81 192 0.04 0.37 Step 1420 of 2112 0.81 192 0.03 0.39 Step 1428 of 2112 0.81 192 0.04 0.38 Step 1436 of 2112 0.81 192 0.04 0.40 Step 1444 of 2112 0.81 192 0.04 0.36 Step 1452 of 2112 0.81 192 0.04 0.36 Step 1460 of 2112 0.82 192 0.05 0.37 Step 1468 of 2112 0.82 192 0.05 0.37 Step 1476 of 2112 0.82 192 0.04 0.36 Step 1484 of 2112 0.82 192 0.05 0.37 Step 1492 of 2112 0.82 192 0.05 0.37 Step 1500 of 2112 0.82 192 0.05 0.37 Step 1508 of 2112 0.82 192 0.04 0.36 Step 1516 of 2112 0.83 192 0.05 0.42 Step 1524 of 2112 0.83 192 0.05 0.41 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.04 0.36 Step 1548 of 2112 0.83 192 0.04 0.36 Step 1556 of 2112 0.83 192 0.05 0.37 Step 1564 of 2112 0.83 192 0.04 0.37 Step 1572 of 2112 0.83 192 0.03 0.36 Step 1580 of 2112 0.84 192 0.03 0.36 Step 1588 of 2112 0.84 192 0.04 0.36 Step 1596 of 2112 0.84 192 0.03 0.36 Step 1604 of 2112 0.84 192 0.03 0.36 Step 1612 of 2112 0.84 192 0.04 0.37 Step 1620 of 2112 0.84 192 0.04 0.36 Step 1628 of 2112 0.84 192 0.04 0.36 Step 1636 of 2112 0.85 192 0.04 0.36 Step 1644 of 2112 0.85 192 0.04 0.36 Step 1652 of 2112 0.85 192 0.03 0.36 Step 1660 of 2112 0.85 192 0.03 0.36 Step 1668 of 2112 0.85 192 0.05 0.37 Step 1676 of 2112 0.85 192 0.04 0.36 Step 1684 of 2112 0.85 192 0.04 0.35 Step 1692 of 2112 0.86 224 0.05 0.48 Step 1700 of 2112 0.86 224 0.04 0.47 Step 1708 of 2112 0.86 224 0.05 0.48 Step 1716 of 2112 0.86 224 0.04 0.51 Step 1724 of 2112 0.86 224 0.04 0.52 Step 1732 of 2112 0.86 224 0.04 0.52 Step 1740 of 2112 0.86 224 0.04 0.47 Step 1748 of 2112 0.87 224 0.04 0.49 Step 1756 of 2112 0.87 224 0.04 0.51 Step 1764 of 2112 0.87 224 0.05 0.51 Step 1772 of 2112 0.87 224 0.04 0.49 Step 1780 of 2112 0.87 224 0.04 0.48 Step 1788 of 2112 0.87 224 0.04 0.48 Step 1796 of 2112 0.87 224 0.04 0.49 Step 1804 of 2112 0.88 224 0.04 0.49 Step 1812 of 2112 0.88 224 0.04 0.50 Step 1820 of 2112 0.88 224 0.06 0.52 Step 1828 of 2112 0.88 224 0.04 0.47 Step 1836 of 2112 0.88 224 0.04 0.49 Step 1844 of 2112 0.88 224 0.06 0.51 Step 1852 of 2112 0.88 224 0.06 0.55 Step 1860 of 2112 0.89 224 0.05 0.50 Step 1868 of 2112 0.89 224 0.05 0.47 Step 1876 of 2112 0.89 224 0.04 0.49 Step 1884 of 2112 0.89 224 0.04 0.49 Step 1892 of 2112 0.89 224 0.05 0.47 Step 1900 of 2112 0.89 224 0.06 0.50 Step 1908 of 2112 0.89 224 0.05 0.50 Step 1916 of 2112 0.90 224 0.06 0.50 Step 1924 of 2112 0.90 224 0.04 0.48 Step 1932 of 2112 0.90 224 0.04 0.47 Step 1940 of 2112 0.90 224 0.04 0.45 Step 1948 of 2112 0.90 224 0.05 0.47 Step 1956 of 2112 0.90 224 0.04 0.46 Step 1964 of 2112 0.90 256 0.05 0.51 Step 1972 of 2112 0.91 256 0.06 0.51 Step 1980 of 2112 0.91 256 0.05 0.49 Step 1988 of 2112 0.91 256 0.05 0.50 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.05 0.53 Step 2012 of 2112 0.91 256 0.05 0.49 Step 2020 of 2112 0.91 256 0.05 0.49 Step 2028 of 2112 0.92 256 0.05 0.52 Step 2036 of 2112 0.92 256 0.06 0.54 Step 2044 of 2112 0.92 256 0.05 0.50 Step 2052 of 2112 0.92 256 0.05 0.50 Step 2060 of 2112 0.92 256 0.05 0.52 Step 2068 of 2112 0.92 256 0.05 0.49 Step 2076 of 2112 0.92 256 0.05 0.49 Step 2084 of 2112 0.93 256 0.05 0.48 Step 2092 of 2112 0.93 256 0.05 0.48 Step 2100 of 2112 0.93 256 0.05 0.48 Step 2108 of 2112 0.93 256 0.05 0.50 ROW NITER SIG(med) CHI^2 .0000 2 1.02 1.37 .0001 2 1.02 1.32 .0002 2 1.02 1.22 .0003 2 1.02 1.28 .0004 2 1.02 1.22 .0005 2 1.02 1.29 .0006 2 1.02 1.28 .0007 2 1.02 1.26 .0008 2 1.02 1.17 .0009 2 1.02 1.28 .0010 2 1.02 1.27 .0011 2 1.02 1.42 .0012 2 1.02 1.28 .0013 2 1.02 1.25 .0014 2 1.02 1.34 .0015 2 1.02 1.37 .0016 2 1.02 1.28 .0017 2 1.02 1.36 .0018 2 1.02 1.43 .0019 2 1.02 1.28 .0020 2 1.02 1.39 .0021 2 1.02 1.28 .0022 2 1.02 1.36 .0023 2 1.02 1.41 .0024 2 1.02 1.26 .0025 2 1.02 1.43 .0026 2 1.02 1.39 .0027 2 1.01 1.41 .0028 2 1.01 1.35 .0029 2 1.01 1.35 .0030 2 1.01 1.43 .0031 2 1.01 1.37 .0032 2 1.01 1.43 .0033 2 1.01 1.45 .0034 2 1.01 1.43 .0035 2 1.01 1.60 .0036 2 1.01 1.49 .0037 2 1.01 1.51 .0038 2 1.01 1.49 .0039 2 1.01 1.53 .0040 2 1.01 1.68 .0041 3 1.01 1.66 .0042 2 1.01 1.64 .0043 2 1.01 1.63 .0044 2 1.01 1.59 .0045 2 1.01 1.67 .0046 1 1.01 1.87 .0047 1 1.01 1.99 .0048 1 1.01 2.05 .0049 1 1.01 1.88 .0050 1 1.01 1.94 .0051 2 1.01 1.97 .0052 1 1.01 2.24 .0053 1 1.01 2.06 .0054 1 1.01 2.00 .0055 1 1.01 1.99 .0056 1 1.01 2.07 .0057 1 1.01 2.08 .0058 1 1.01 2.00 .0059 1 1.01 2.05 .0060 1 1.01 1.91 .0061 1 1.01 1.98 .0062 1 1.01 2.20 .0063 1 1.01 2.00 .0064 1 1.01 2.12 .0065 1 1.01 2.05 .0066 1 1.01 1.99 .0067 1 1.01 2.16 .0068 1 1.01 2.31 .0069 2 1.01 2.49 .0070 2 1.01 2.20 .0071 1 1.01 2.11 .0072 1 1.01 2.19 .0073 1 1.01 2.15 .0074 1 1.01 2.33 .0075 1 1.01 2.16 .0076 1 1.01 2.19 .0077 1 1.01 2.23 .0078 1 1.01 2.30 .0079 1 1.00 2.29 .0080 1 1.00 2.50 .0081 1 1.00 2.33 .0082 1 1.00 2.32 .0083 1 1.00 2.29 .0084 1 1.00 2.24 .0085 1 1.00 2.18 .0086 1 1.00 2.59 .0087 2 1.00 2.58 .0088 1 1.00 2.32 .0089 1 1.00 2.30 .0090 1 1.00 2.24 .0091 1 1.00 2.39 .0092 1 1.00 2.26 .0093 1 1.00 2.34 .0094 1 1.00 2.39 .0095 1 1.00 2.30 .0096 1 1.00 2.40 .0097 1 1.00 2.38 .0098 1 1.00 2.22 .0099 1 1.00 2.80 .0100 3 1.00 2.24 .0101 1 1.00 2.35 .0102 1 1.00 2.36 .0103 1 1.00 2.82 .0104 1 1.00 2.35 .0105 2 1.00 2.22 .0106 1 1.00 2.27 .0107 1 1.00 2.36 .0108 1 1.00 2.28 .0109 1 1.00 2.39 .0110 1 1.00 2.34 .0111 2 1.00 2.52 .0112 1 1.00 2.40 .0113 2 1.00 2.27 .0114 2 1.00 2.30 .0115 1 1.00 2.31 .0116 1 1.00 2.25 .0117 1 1.00 2.24 .0118 1 1.00 2.33 .0119 1 1.00 2.38 .0120 1 1.00 2.23 .0121 1 1.00 2.36 .0122 1 1.00 2.43 .0123 1 1.00 2.42 .0124 1 1.00 2.35 .0125 1 1.00 2.37 .0126 1 1.00 2.45 .0127 1 1.00 2.56 .0128 1 1.00 2.37 .0129 1 1.00 2.52 .0130 1 1.00 2.38 .0131 1 1.00 2.43 .0132 1 1.00 2.45 .0133 1 1.00 2.29 .0134 1 1.00 2.37 .0135 1 1.00 2.56 .0136 1 1.00 2.55 .0137 1 1.00 2.43 .0138 1 0.99 2.42 .0139 1 0.99 2.25 .0140 1 0.99 2.35 .0141 1 0.99 2.40 .0142 1 0.99 2.28 .0143 1 0.99 2.36 .0144 1 0.99 2.46 .0145 1 0.99 2.41 .0146 1 0.99 2.25 .0147 2 0.99 2.44 .0148 1 0.99 2.56 .0149 1 0.99 2.32 .0150 1 0.99 2.80 .0151 3 0.99 2.37 .0152 1 0.99 2.24 .0153 1 0.99 2.19 .0154 1 0.99 2.24 .0155 1 0.99 2.39 .0156 1 0.99 2.37 .0157 1 0.99 2.24 .0158 1 0.99 2.36 .0159 1 0.99 2.30 .0160 1 0.99 2.23 .0161 1 0.99 2.25 .0162 1 0.99 2.13 .0163 1 0.99 2.29 .0164 1 0.99 2.97 .0165 1 0.99 2.14 .0166 1 0.99 2.16 .0167 1 0.99 2.10 .0168 1 0.99 2.30 .0169 1 0.99 2.27 .0170 1 0.99 2.09 .0171 1 0.99 2.18 .0172 1 0.99 2.20 .0173 1 0.99 2.14 .0174 1 0.99 2.09 .0175 1 0.99 2.29 .0176 1 0.99 2.27 .0177 2 0.99 2.31 .0178 2 0.99 2.22 .0179 2 0.99 2.20 .0180 1 0.99 2.19 .0181 1 0.99 2.04 .0182 1 0.99 2.26 .0183 1 0.99 2.21 .0184 3 0.99 2.17 .0185 1 0.99 2.60 .0186 1 0.99 2.21 .0187 1 0.99 2.16 .0188 1 0.99 2.17 .0189 1 0.99 2.07 .0190 1 0.99 2.14 .0191 2 0.99 2.15 .0192 1 0.99 2.21 .0193 1 0.99 2.01 .0194 1 0.99 2.13 .0195 1 0.99 2.22 .0196 1 0.99 1.98 .0197 1 0.99 2.05 .0198 1 0.99 2.10 .0199 2 0.99 2.12 .0200 1 0.99 2.12 .0201 2 0.99 2.40 .0202 1 0.99 2.42 .0203 1 0.98 2.21 .0204 1 0.98 2.23 .0205 1 0.98 2.11 .0206 1 0.98 2.04 .0207 1 0.98 2.20 .0208 1 0.98 2.07 .0209 1 0.98 2.28 .0210 1 0.98 2.19 .0211 1 0.98 2.36 .0212 2 0.98 2.49 .0213 2 0.98 2.37 .0214 2 0.98 2.42 .0215 3 0.98 2.24 .0216 2 0.98 2.34 .0217 1 0.98 2.46 .0218 1 0.98 2.36 .0219 1 0.98 2.30 .0220 2 0.98 2.75 .0221 2 0.98 2.50 .0222 1 0.98 2.31 .0223 1 0.98 2.45 .0224 1 0.98 2.37 .0225 1 0.98 2.49 .0226 1 0.98 2.56 .0227 1 0.98 2.69 .0228 1 0.98 2.54 .0229 1 0.98 2.56 .0230 1 0.98 2.77 .0231 2 0.98 2.70 .0232 1 0.98 2.70 .0233 1 0.98 2.61 .0234 1 0.98 2.80 .0235 3 0.98 2.79 .0236 1 0.98 2.83 .0237 1 0.98 2.70 .0238 1 0.98 2.62 .0239 1 0.98 2.60 .0240 1 0.98 2.70 .0241 1 0.98 2.56 .0242 1 0.98 2.75 .0243 1 0.98 2.70 .0244 1 0.98 2.56 .0245 1 0.98 2.81 .0246 1 0.98 2.68 .0247 1 0.98 2.76 .0248 1 0.98 2.74 .0249 1 0.98 2.86 .0250 1 0.98 2.89 .0251 1 0.98 2.82 .0252 1 0.98 2.88 .0253 1 0.98 2.92 .0254 1 0.98 2.66 .0255 1 0.98 2.80 .0256 1 0.98 2.91 .0257 1 0.98 2.80 .0258 1 0.98 2.90 .0259 1 0.98 2.77 .0260 1 0.98 2.93 .0261 1 0.98 2.89 .0262 1 0.98 2.74 .0263 1 0.98 2.96 .0264 2 0.98 2.76 .0265 1 0.98 2.79 .0266 1 0.98 2.69 .0267 1 0.98 2.78 .0268 1 0.98 2.83 .0269 1 0.98 2.85 .0270 1 0.98 2.77 .0271 1 0.98 2.64 .0272 1 0.98 2.74 .0273 1 0.98 2.56 .0274 1 0.98 2.65 .0275 1 0.98 2.75 .0276 1 0.98 2.57 .0277 1 0.97 2.63 .0278 1 0.97 2.60 .0279 1 0.97 2.64 .0280 1 0.97 2.79 .0281 1 0.97 2.61 .0282 1 0.97 2.57 .0283 1 0.97 2.73 .0284 1 0.97 2.68 .0285 1 0.97 2.96 .0286 1 0.97 2.60 .0287 1 0.97 2.46 .0288 1 0.97 2.70 .0289 1 0.97 2.51 .0290 1 0.97 2.73 .0291 1 0.97 2.52 .0292 1 0.97 2.81 .0293 1 0.97 2.44 .0294 1 0.97 2.46 .0295 1 0.97 2.53 .0296 1 0.97 2.37 .0297 1 0.97 2.40 .0298 1 0.97 2.31 .0299 1 0.97 2.29 .0300 2 0.97 2.37 .0301 1 0.97 2.23 .0302 1 0.97 2.27 .0303 1 0.97 2.26 .0304 1 0.97 2.37 .0305 1 0.97 2.27 .0306 1 0.97 2.34 .0307 1 0.97 2.25 .0308 1 0.97 2.28 .0309 1 0.97 2.25 .0310 1 0.97 2.28 .0311 1 0.97 2.40 .0312 2 0.97 2.27 .0313 1 0.97 2.55 .0314 1 0.97 2.32 .0315 1 0.97 2.11 .0316 1 0.97 2.56 .0317 2 0.97 2.33 .0318 1 0.97 2.33 .0319 1 0.97 2.64 .0320 1 0.97 2.18 .0321 1 0.97 2.24 .0322 1 0.97 2.28 .0323 1 0.97 2.33 .0324 2 0.97 2.28 .0325 1 0.97 2.35 .0326 1 0.97 2.30 .0327 1 0.97 2.22 .0328 1 0.97 2.23 .0329 1 0.97 2.12 .0330 1 0.97 2.22 .0331 1 0.97 2.32 .0332 1 0.97 2.34 .0333 1 0.97 2.26 .0334 1 0.97 2.27 .0335 1 0.97 2.19 .0336 1 0.97 2.20 .0337 1 0.97 2.20 .0338 1 0.97 2.24 .0339 1 0.97 2.33 .0340 1 0.97 2.44 .0341 1 0.97 2.51 .0342 1 0.97 2.45 .0343 1 0.97 2.43 .0344 1 0.97 2.31 .0345 1 0.97 2.29 .0346 1 0.97 2.48 .0347 1 0.97 2.42 .0348 1 0.97 2.28 .0349 1 0.97 2.34 .0350 1 0.97 2.36 .0351 1 0.97 2.33 .0352 1 0.97 2.36 .0353 1 0.97 2.26 .0354 1 0.97 2.29 .0355 1 0.97 2.35 .0356 1 0.97 2.38 .0357 1 0.97 2.31 .0358 1 0.97 2.40 .0359 1 0.97 2.37 .0360 1 0.97 2.29 .0361 1 0.97 2.49 .0362 1 0.97 2.41 .0363 1 0.96 2.35 .0364 2 0.96 2.35 .0365 1 0.96 2.39 .0366 1 0.96 2.28 .0367 1 0.96 2.18 .0368 1 0.96 2.19 .0369 1 0.96 2.38 .0370 1 0.96 2.25 .0371 1 0.96 2.32 .0372 1 0.96 2.36 .0373 1 0.96 2.20 .0374 1 0.96 2.06 .0375 1 0.96 2.17 .0376 1 0.96 2.21 .0377 1 0.96 2.38 .0378 1 0.96 2.26 .0379 1 0.96 2.28 .0380 1 0.96 2.35 .0381 1 0.96 2.25 .0382 1 0.96 2.32 .0383 1 0.96 2.23 .0384 1 0.96 2.22 .0385 2 0.96 2.24 .0386 2 0.96 2.29 .0387 2 0.96 2.39 .0388 2 0.96 2.30 .0389 2 0.96 2.11 .0390 2 0.96 2.26 .0391 2 0.96 2.09 .0392 2 0.96 2.24 .0393 2 0.96 2.29 .0394 2 0.96 2.26 .0395 2 0.96 2.34 .0396 2 0.96 2.17 .0397 2 0.96 2.06 .0398 2 0.96 2.12 .0399 2 0.96 2.08 .0400 2 0.96 2.29 .0401 2 0.96 2.29 .0402 2 0.96 2.25 .0403 2 0.96 2.11 .0404 2 0.96 2.37 .0405 2 0.96 2.08 .0406 2 0.96 2.12 .0407 2 0.96 2.02 .0408 3 0.96 2.05 .0409 3 0.96 2.34 .0410 3 0.96 2.14 .0411 2 0.96 2.09 .0412 2 0.96 2.11 .0413 2 0.96 2.20 .0414 2 0.96 2.08 .0415 2 0.96 2.20 .0416 2 0.96 2.15 .0417 2 0.96 2.08 .0418 2 0.96 1.93 .0419 2 0.96 2.09 .0420 2 0.96 2.19 .0421 2 0.96 2.00 .0422 1 0.96 2.38 .0423 1 0.96 2.69 .0424 1 0.96 2.22 .0425 1 0.96 2.14 .0426 1 0.96 2.25 .0427 1 0.96 2.24 .0428 1 0.96 2.22 .0429 1 0.96 2.16 .0430 1 0.96 2.24 .0431 1 0.96 2.29 .0432 1 0.96 2.16 .0433 1 0.96 2.43 .0434 1 0.96 2.18 .0435 1 0.96 2.21 .0436 1 0.96 2.02 .0437 1 0.96 2.27 .0438 1 0.96 2.12 .0439 1 0.96 2.12 .0440 1 0.96 2.16 .0441 1 0.96 2.23 .0442 1 0.96 2.13 .0443 1 0.96 2.06 .0444 1 0.96 2.07 .0445 1 0.96 2.24 .0446 1 0.96 2.08 .0447 1 0.96 2.13 .0448 1 0.96 2.10 .0449 1 0.96 2.00 .0450 1 0.96 2.02 .0451 1 0.96 2.11 .0452 1 0.96 2.15 .0453 1 0.96 1.99 .0454 1 0.96 2.01 .0455 1 0.96 2.23 .0456 1 0.96 2.06 .0457 1 0.96 2.06 .0458 1 0.96 2.01 .0459 1 0.96 2.21 .0460 1 0.96 2.24 .0461 2 0.96 2.08 .0462 1 0.96 2.12 .0463 1 0.96 2.04 .0464 1 0.96 2.02 .0465 1 0.96 2.03 .0466 1 0.96 2.13 .0467 1 0.96 2.08 .0468 1 0.95 2.08 .0469 1 0.95 2.12 .0470 1 0.95 1.95 .0471 1 0.95 1.97 .0472 1 0.95 2.05 .0473 2 0.95 2.23 .0474 1 0.95 2.15 .0475 1 0.95 2.17 .0476 1 0.95 2.04 .0477 1 0.95 1.93 .0478 1 0.95 2.09 .0479 1 0.95 2.12 .0480 1 0.95 2.32 .0481 1 0.95 2.08 .0482 1 0.95 2.11 .0483 1 0.95 2.08 .0484 1 0.95 1.94 .0485 1 0.95 2.09 .0486 1 0.95 2.05 .0487 1 0.95 1.92 .0488 1 0.95 2.00 .0489 1 0.95 1.98 .0490 1 0.95 1.90 .0491 1 0.95 1.98 .0492 1 0.95 1.98 .0493 1 0.95 2.09 .0494 1 0.95 2.09 .0495 1 0.95 2.02 .0496 1 0.95 1.98 .0497 2 0.95 2.02 .0498 1 0.95 1.98 .0499 1 0.95 2.00 .0500 1 0.95 1.97 .0501 1 0.95 2.00 .0502 1 0.95 1.95 .0503 1 0.95 2.08 .0504 1 0.95 1.98 .0505 1 0.95 1.96 .0506 1 0.95 1.94 .0507 2 0.95 1.93 .0508 1 0.95 2.01 .0509 1 0.95 1.87 .0510 1 0.95 1.96 .0511 1 0.95 1.95 .0512 1 0.95 1.97 .0513 1 0.95 2.00 .0514 1 0.95 2.02 .0515 2 0.95 1.96 .0516 3 0.95 1.95 .0517 1 0.95 1.99 .0518 1 0.95 1.93 .0519 1 0.95 1.92 .0520 1 0.95 1.89 .0521 1 0.95 1.85 .0522 1 0.95 2.00 .0523 2 0.95 1.89 .0524 2 0.95 2.13 .0525 1 0.95 2.33 .0526 1 0.95 2.10 .0527 1 0.95 1.98 .0528 1 0.95 2.53 .0529 1 0.95 2.03 .0530 1 0.95 2.00 .0531 1 0.95 1.91 .0532 1 0.95 1.99 .0533 1 0.95 2.01 .0534 1 0.95 1.99 .0535 1 0.95 1.95 .0536 1 0.95 2.04 .0537 1 0.95 1.97 .0538 1 0.95 1.98 .0539 1 0.95 2.14 .0540 1 0.95 2.08 .0541 1 0.95 2.11 .0542 1 0.95 2.06 .0543 1 0.95 1.99 .0544 1 0.95 2.09 .0545 1 0.95 2.18 .0546 1 0.95 2.13 .0547 1 0.95 2.13 .0548 1 0.95 2.04 .0549 1 0.95 2.07 .0550 1 0.95 2.11 .0551 1 0.95 2.00 .0552 1 0.95 2.06 .0553 1 0.95 2.29 .0554 1 0.95 2.13 .0555 1 0.95 2.19 .0556 1 0.95 2.11 .0557 1 0.95 2.15 .0558 1 0.95 2.15 .0559 1 0.95 2.05 .0560 1 0.95 2.29 .0561 1 0.95 2.08 .0562 1 0.95 2.25 .0563 1 0.95 2.20 .0564 2 0.95 2.06 .0565 1 0.95 2.45 .0566 2 0.95 2.05 .0567 2 0.95 2.26 .0568 2 0.95 2.07 .0569 2 0.95 1.97 .0570 2 0.95 2.07 .0571 2 0.95 1.90 .0572 3 0.95 2.23 .0573 2 0.95 2.12 .0574 2 0.95 2.10 .0575 2 0.95 2.07 .0576 2 0.95 2.19 .0577 3 0.95 2.22 .0578 2 0.95 2.11 .0579 2 0.95 2.11 .0580 2 0.95 1.94 .0581 2 0.95 2.04 .0582 2 0.95 2.13 .0583 3 0.95 2.01 .0584 2 0.95 2.19 .0585 2 0.95 2.08 .0586 2 0.95 2.09 .0587 2 0.95 2.16 .0588 2 0.95 2.10 .0589 2 0.95 2.05 .0590 2 0.95 2.09 .0591 2 0.95 2.01 .0592 2 0.95 2.13 .0593 1 0.95 2.07 .0594 1 0.95 2.18 .0595 1 0.95 2.31 .0596 1 0.95 2.23 .0597 1 0.95 2.14 .0598 1 0.95 2.17 .0599 1 0.95 2.16 .0600 1 0.94 2.30 .0601 1 0.94 2.28 .0602 2 0.94 2.30 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0.94 2.49 .0659 1 0.94 2.61 .0660 1 0.94 2.52 .0661 1 0.94 2.44 .0662 1 0.94 2.33 .0663 2 0.94 2.48 .0664 1 0.94 2.44 .0665 1 0.94 2.47 .0666 1 0.94 2.67 .0667 1 0.94 2.54 .0668 2 0.94 2.52 .0669 1 0.94 2.76 .0670 1 0.94 2.58 .0671 1 0.94 2.62 .0672 1 0.94 2.52 .0673 1 0.94 2.50 .0674 1 0.94 2.67 .0675 1 0.94 2.48 .0676 1 0.94 2.66 .0677 1 0.94 2.41 .0678 1 0.94 2.57 .0679 1 0.94 2.63 .0680 2 0.94 2.58 .0681 1 0.94 2.61 .0682 1 0.94 2.61 .0683 1 0.94 2.56 .0684 1 0.94 2.56 .0685 1 0.94 2.54 .0686 1 0.94 2.63 .0687 1 0.94 2.58 .0688 1 0.94 2.71 .0689 1 0.94 2.72 .0690 1 0.94 2.68 .0691 1 0.94 2.64 .0692 1 0.94 2.72 .0693 1 0.94 2.59 .0694 1 0.94 3.03 .0695 1 0.94 3.50 .0696 1 0.94 2.78 .0697 2 0.94 2.71 .0698 1 0.94 2.56 .0699 1 0.94 2.74 .0700 1 0.94 2.71 .0701 1 0.94 2.61 .0702 1 0.94 2.59 .0703 1 0.94 2.68 .0704 1 0.94 2.84 .0705 1 0.94 2.73 .0706 1 0.94 2.73 .0707 1 0.94 2.77 .0708 1 0.94 2.65 .0709 1 0.94 2.66 .0710 1 0.94 2.72 .0711 1 0.94 2.78 .0712 1 0.94 2.82 .0713 1 0.94 2.66 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0.91 2.69 .1991 1 0.91 3.11 .1992 1 0.91 2.62 .1993 1 0.91 2.52 .1994 1 0.91 2.62 .1995 1 0.91 2.66 .1996 1 0.91 2.57 .1997 1 0.91 2.75 .1998 2 0.91 2.63 .1999 1 0.91 2.76 .2000 1 0.91 2.62 .2001 1 0.91 2.72 .2002 1 0.91 2.82 .2003 1 0.91 2.51 .2004 1 0.91 2.60 .2005 1 0.91 2.53 .2006 1 0.91 2.78 .2007 1 0.91 2.61 .2008 1 0.91 2.63 .2009 1 0.91 2.52 .2010 1 0.91 2.64 .2011 1 0.91 2.68 .2012 1 0.91 2.69 .2013 1 0.91 2.93 .2014 1 0.91 2.68 .2015 2 0.91 2.63 .2016 1 0.91 2.72 .2017 1 0.91 2.52 .2018 1 0.91 2.62 .2019 1 0.91 2.69 .2020 1 0.91 2.79 .2021 1 0.91 2.72 .2022 1 0.91 2.87 .2023 2 0.91 2.66 .2024 1 0.91 2.82 .2025 1 0.91 2.76 .2026 1 0.91 2.78 .2027 1 0.91 2.67 .2028 1 0.91 2.82 .2029 1 0.91 2.70 .2030 1 0.91 2.76 .2031 1 0.91 2.62 .2032 1 0.91 2.77 .2033 1 0.91 2.83 .2034 2 0.91 2.68 .2035 1 0.91 2.89 .2036 1 0.91 2.75 .2037 1 0.91 2.86 .2038 1 0.91 2.60 .2039 1 0.91 2.69 .2040 1 0.91 2.74 .2041 1 0.91 3.02 .2042 2 0.91 2.68 .2043 1 0.91 2.93 .2044 2 0.91 2.66 .2045 1 0.91 2.80 .2046 1 0.91 2.70 .2047 1 0.91 2.71 EXTRACT_IMAGE: r1: masked 350 pixels SPCALIB: r1: First extraction chi^2 1.18710 5.49705 SPCALIB: r1: Second extraction chi^2 1.17088 3.50611 SUPERFLAT: r1: Creating superflat from 304 fibers highest breakpoint does not cover highest x value, changing .0000highest breakpoint does not cover highest x value, changing .0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r1: Number of fiberflat points LE 0 = 10677 SPCALIB: r1: Create fiberflats for flat # 2 of 2 SPCALIB: r1: Flat sdR-r1-00034591.fit paired with arc sdR-r1-00034592.fit SPCALIB: r1: Reading flat sdR-r1-00034591.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.89476 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1192.75 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.77357 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1241.60 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 2 1.04 1.46 .0001 3 1.04 1.17 .0002 2 1.04 1.30 .0003 2 1.04 1.35 .0004 2 1.04 1.24 .0005 2 1.04 1.27 .0006 2 1.04 1.25 .0007 2 1.04 1.23 .0008 2 1.04 1.38 .0009 2 1.04 1.30 .0010 2 1.04 1.32 .0011 2 1.04 1.35 .0012 2 1.04 1.34 .0013 2 1.04 1.30 .0014 2 1.04 1.38 .0015 2 1.04 1.34 .0016 2 1.04 1.38 .0017 2 1.04 1.37 .0018 2 1.04 1.26 .0019 2 1.03 1.40 .0020 2 1.03 1.37 .0021 2 1.03 1.48 .0022 2 1.03 1.36 .0023 2 1.03 1.46 .0024 2 1.03 1.45 .0025 3 1.03 1.47 .0026 3 1.03 1.45 .0027 2 1.03 1.50 .0028 2 1.03 1.58 .0029 1 1.03 1.87 .0030 2 1.03 1.40 .0031 2 1.03 1.44 .0032 1 1.03 1.76 .0033 2 1.03 1.49 .0034 2 1.03 1.51 .0035 2 1.03 1.58 .0036 1 1.03 1.75 .0037 2 1.03 1.50 .0038 1 1.03 1.81 .0039 2 1.03 1.55 .0040 1 1.03 1.84 .0041 1 1.03 1.73 .0042 1 1.03 1.81 .0043 1 1.03 1.89 .0044 1 1.03 1.87 .0045 1 1.03 1.89 .0046 1 1.03 1.99 .0047 1 1.03 1.99 .0048 1 1.03 1.98 .0049 1 1.03 1.97 .0050 1 1.03 2.05 .0051 1 1.03 2.07 .0052 1 1.03 1.95 .0053 1 1.03 1.98 .0054 1 1.03 1.98 .0055 1 1.03 2.00 .0056 1 1.03 2.06 .0057 1 1.03 2.14 .0058 1 1.03 2.05 .0059 1 1.03 2.24 .0060 1 1.03 2.11 .0061 1 1.03 2.10 .0062 1 1.03 2.33 .0063 1 1.03 2.21 .0064 2 1.03 2.22 .0065 1 1.03 2.21 .0066 1 1.03 2.48 .0067 2 1.03 2.76 .0068 1 1.03 2.28 .0069 1 1.03 2.25 .0070 1 1.03 2.30 .0071 1 1.02 2.41 .0072 1 1.02 2.33 .0073 1 1.02 2.26 .0074 1 1.02 2.46 .0075 1 1.02 2.40 .0076 1 1.02 2.34 .0077 1 1.02 2.42 .0078 1 1.02 2.30 .0079 1 1.02 2.49 .0080 1 1.02 2.61 .0081 1 1.02 2.64 .0082 1 1.02 2.34 .0083 1 1.02 2.41 .0084 1 1.02 2.55 .0085 1 1.02 2.53 .0086 1 1.02 2.41 .0087 1 1.02 2.61 .0088 1 1.02 2.45 .0089 1 1.02 2.53 .0090 1 1.02 2.48 .0091 1 1.02 2.61 .0092 1 1.02 2.64 .0093 1 1.02 2.79 .0094 1 1.02 2.53 .0095 1 1.02 2.56 .0096 1 1.02 2.51 .0097 1 1.02 2.63 .0098 1 1.02 2.70 .0099 1 1.02 2.65 .0100 1 1.02 2.60 .0101 1 1.02 2.70 .0102 1 1.02 2.60 .0103 1 1.02 2.73 .0104 1 1.02 2.68 .0105 1 1.02 2.62 .0106 1 1.02 2.64 .0107 1 1.02 2.66 .0108 1 1.02 2.81 .0109 1 1.02 2.82 .0110 1 1.02 2.62 .0111 1 1.02 2.72 .0112 1 1.02 2.74 .0113 1 1.02 2.83 .0114 1 1.02 2.70 .0115 1 1.02 2.60 .0116 1 1.02 2.78 .0117 1 1.02 2.87 .0118 2 1.02 2.80 .0119 1 1.02 2.93 .0120 1 1.02 2.77 .0121 1 1.02 2.73 .0122 1 1.02 2.77 .0123 1 1.02 2.78 .0124 1 1.02 2.96 .0125 1 1.02 3.13 .0126 1 1.02 3.22 .0127 2 1.02 2.89 .0128 1 1.01 2.79 .0129 1 1.01 2.79 .0130 1 1.01 2.77 .0131 2 1.01 2.84 .0132 1 1.01 2.74 .0133 1 1.01 2.83 .0134 1 1.01 2.77 .0135 1 1.01 2.89 .0136 1 1.01 2.81 .0137 1 1.01 2.81 .0138 1 1.01 2.84 .0139 1 1.01 2.75 .0140 1 1.01 2.77 .0141 1 1.01 2.66 .0142 1 1.01 2.75 .0143 1 1.01 2.71 .0144 1 1.01 2.74 .0145 1 1.01 2.62 .0146 1 1.01 2.72 .0147 1 1.01 2.81 .0148 1 1.01 3.09 .0149 1 1.01 2.74 .0150 1 1.01 2.54 .0151 1 1.01 2.69 .0152 1 1.01 2.62 .0153 1 1.01 2.64 .0154 1 1.01 2.82 .0155 1 1.01 2.75 .0156 1 1.01 3.06 .0157 1 1.01 2.76 .0158 1 1.01 2.75 .0159 1 1.01 2.69 .0160 1 1.01 2.82 .0161 1 1.01 2.61 .0162 1 1.01 2.72 .0163 1 1.01 2.63 .0164 1 1.01 2.61 .0165 1 1.01 2.58 .0166 1 1.01 2.64 .0167 1 1.01 2.65 .0168 1 1.01 2.56 .0169 1 1.01 2.53 .0170 1 1.01 2.53 .0171 1 1.01 2.58 .0172 1 1.01 2.47 .0173 1 1.01 2.43 .0174 1 1.01 2.70 .0175 1 1.01 2.60 .0176 1 1.01 2.69 .0177 2 1.01 3.01 .0178 1 1.01 2.65 .0179 1 1.01 2.70 .0180 1 1.01 2.61 .0181 1 1.01 2.62 .0182 2 1.01 2.54 .0183 1 1.01 2.51 .0184 1 1.01 2.51 .0185 1 1.01 2.78 .0186 1 1.01 2.66 .0187 1 1.01 2.63 .0188 1 1.01 2.51 .0189 1 1.01 2.60 .0190 1 1.01 2.57 .0191 1 1.00 2.62 .0192 1 1.00 2.50 .0193 1 1.00 2.58 .0194 1 1.00 2.51 .0195 1 1.00 2.59 .0196 1 1.00 2.65 .0197 1 1.00 2.77 .0198 1 1.00 2.45 .0199 1 1.00 2.53 .0200 1 1.00 2.67 .0201 1 1.00 2.68 .0202 1 1.00 2.50 .0203 1 1.00 2.53 .0204 1 1.00 2.64 .0205 1 1.00 2.51 .0206 1 1.00 2.69 .0207 1 1.00 2.51 .0208 1 1.00 2.63 .0209 2 1.00 2.78 .0210 1 1.00 2.57 .0211 1 1.00 2.54 .0212 1 1.00 2.64 .0213 1 1.00 2.55 .0214 1 1.00 2.72 .0215 2 1.00 2.79 .0216 1 1.00 2.75 .0217 1 1.00 2.73 .0218 1 1.00 2.83 .0219 1 1.00 2.89 .0220 1 1.00 2.86 .0221 1 1.00 2.89 .0222 1 1.00 2.98 .0223 1 1.00 2.87 .0224 1 1.00 2.94 .0225 1 1.00 2.95 .0226 1 1.00 2.97 .0227 1 1.00 3.05 .0228 1 1.00 2.89 .0229 1 1.00 3.07 .0230 1 1.00 3.07 .0231 1 1.00 3.11 .0232 1 1.00 3.14 .0233 1 1.00 3.10 .0234 1 1.00 3.19 .0235 1 1.00 3.25 .0236 1 1.00 3.80 .0237 1 1.00 3.50 .0238 1 1.00 3.27 .0239 2 1.00 3.11 .0240 1 1.00 3.26 .0241 1 1.00 3.37 .0242 1 1.00 3.29 .0243 2 1.00 3.12 .0244 1 1.00 3.33 .0245 1 1.00 3.16 .0246 1 1.00 3.30 .0247 1 1.00 3.35 .0248 1 1.00 3.32 .0249 1 1.00 3.37 .0250 1 1.00 3.41 .0251 1 1.00 3.34 .0252 1 1.00 3.45 .0253 1 1.00 3.30 .0254 1 1.00 3.55 .0255 1 1.00 3.50 .0256 1 1.00 3.59 .0257 1 1.00 3.45 .0258 1 1.00 3.51 .0259 1 1.00 3.56 .0260 1 1.00 3.66 .0261 1 0.99 3.45 .0262 1 0.99 3.34 .0263 1 0.99 3.39 .0264 1 0.99 3.29 .0265 1 0.99 3.51 .0266 1 0.99 3.54 .0267 1 0.99 3.84 .0268 1 0.99 3.44 .0269 1 0.99 3.31 .0270 1 0.99 3.38 .0271 1 0.99 3.55 .0272 1 0.99 3.49 .0273 1 0.99 3.42 .0274 1 0.99 3.27 .0275 1 0.99 3.36 .0276 1 0.99 3.36 .0277 1 0.99 3.23 .0278 1 0.99 3.34 .0279 1 0.99 3.41 .0280 1 0.99 3.35 .0281 1 0.99 3.36 .0282 1 0.99 3.42 .0283 1 0.99 3.10 .0284 1 0.99 3.20 .0285 1 0.99 3.13 .0286 1 0.99 3.25 .0287 1 0.99 3.19 .0288 1 0.99 3.34 .0289 1 0.99 3.13 .0290 1 0.99 3.08 .0291 1 0.99 3.20 .0292 1 0.99 3.14 .0293 1 0.99 3.04 .0294 1 0.99 2.93 .0295 1 0.99 3.04 .0296 1 0.99 2.93 .0297 1 0.99 3.12 .0298 2 0.99 3.05 .0299 1 0.99 2.98 .0300 1 0.99 3.02 .0301 1 0.99 2.92 .0302 1 0.99 3.03 .0303 1 0.99 2.94 .0304 1 0.99 2.89 .0305 1 0.99 2.90 .0306 1 0.99 2.92 .0307 1 0.99 3.16 .0308 2 0.99 2.68 .0309 1 0.99 3.23 .0310 1 0.99 2.92 .0311 1 0.99 2.83 .0312 1 0.99 2.76 .0313 1 0.99 2.74 .0314 1 0.99 2.85 .0315 1 0.99 2.88 .0316 1 0.99 2.68 .0317 1 0.99 2.90 .0318 1 0.99 2.78 .0319 1 0.99 2.81 .0320 1 0.99 2.88 .0321 1 0.99 2.74 .0322 1 0.99 2.89 .0323 1 0.99 3.11 .0324 1 0.99 2.84 .0325 1 0.99 2.77 .0326 1 0.99 2.80 .0327 2 0.99 2.75 .0328 1 0.99 2.71 .0329 1 0.99 2.86 .0330 1 0.99 2.82 .0331 2 0.99 2.84 .0332 2 0.99 2.72 .0333 1 0.99 2.90 .0334 1 0.99 2.88 .0335 1 0.99 2.78 .0336 1 0.99 2.79 .0337 1 0.99 2.80 .0338 1 0.99 2.89 .0339 1 0.99 2.67 .0340 1 0.99 2.75 .0341 1 0.99 2.80 .0342 1 0.98 2.86 .0343 1 0.98 2.96 .0344 1 0.98 2.76 .0345 3 0.98 2.86 .0346 3 0.98 2.72 .0347 1 0.98 3.02 .0348 1 0.98 3.15 .0349 1 0.98 2.78 .0350 1 0.98 2.85 .0351 1 0.98 2.90 .0352 1 0.98 2.82 .0353 1 0.98 2.89 .0354 1 0.98 2.92 .0355 1 0.98 2.84 .0356 2 0.98 2.87 .0357 1 0.98 2.90 .0358 1 0.98 2.78 .0359 1 0.98 2.88 .0360 1 0.98 2.75 .0361 1 0.98 2.85 .0362 1 0.98 2.86 .0363 1 0.98 2.90 .0364 1 0.98 2.76 .0365 1 0.98 2.77 .0366 1 0.98 2.83 .0367 1 0.98 2.75 .0368 1 0.98 2.75 .0369 1 0.98 2.80 .0370 1 0.98 2.85 .0371 1 0.98 2.81 .0372 1 0.98 2.89 .0373 1 0.98 2.81 .0374 1 0.98 3.04 .0375 1 0.98 2.72 .0376 2 0.98 3.00 .0377 2 0.98 2.84 .0378 2 0.98 2.76 .0379 2 0.98 2.90 .0380 2 0.98 2.74 .0381 2 0.98 2.89 .0382 2 0.98 2.73 .0383 2 0.98 2.85 .0384 2 0.98 2.89 .0385 2 0.98 2.76 .0386 2 0.98 2.85 .0387 2 0.98 2.96 .0388 2 0.98 3.20 .0389 3 0.98 2.88 .0390 2 0.98 2.80 .0391 2 0.98 2.89 .0392 2 0.98 2.64 .0393 2 0.98 2.93 .0394 2 0.98 2.90 .0395 2 0.98 2.89 .0396 2 0.98 3.02 .0397 1 0.98 3.21 .0398 2 0.98 2.82 .0399 1 0.98 3.03 .0400 1 0.98 3.23 .0401 1 0.98 3.64 .0402 1 0.98 3.09 .0403 2 0.98 2.52 .0404 1 0.98 2.90 .0405 1 0.98 3.05 .0406 1 0.98 2.81 .0407 1 0.98 3.04 .0408 2 0.98 2.87 .0409 1 0.98 2.91 .0410 1 0.98 2.90 .0411 1 0.98 2.75 .0412 1 0.98 2.94 .0413 1 0.98 2.87 .0414 1 0.98 2.73 .0415 1 0.98 2.80 .0416 1 0.98 2.77 .0417 1 0.98 2.82 .0418 1 0.98 2.84 .0419 1 0.98 2.62 .0420 1 0.98 2.67 .0421 1 0.98 2.57 .0422 1 0.98 2.64 .0423 1 0.98 2.72 .0424 1 0.98 2.66 .0425 1 0.98 2.56 .0426 1 0.98 2.62 .0427 1 0.98 2.58 .0428 1 0.98 2.68 .0429 1 0.98 2.55 .0430 1 0.98 2.50 .0431 1 0.98 2.51 .0432 1 0.98 2.45 .0433 1 0.98 2.57 .0434 1 0.98 2.45 .0435 1 0.97 2.52 .0436 1 0.97 2.55 .0437 1 0.97 2.56 .0438 1 0.97 2.61 .0439 1 0.97 2.50 .0440 1 0.97 2.50 .0441 1 0.97 2.43 .0442 1 0.97 2.54 .0443 1 0.97 2.55 .0444 1 0.97 2.46 .0445 1 0.97 2.51 .0446 1 0.97 2.54 .0447 1 0.97 2.37 .0448 1 0.97 2.45 .0449 1 0.97 2.37 .0450 2 0.97 2.44 .0451 1 0.97 2.54 .0452 2 0.97 2.53 .0453 1 0.97 2.40 .0454 1 0.97 2.33 .0455 1 0.97 2.44 .0456 1 0.97 2.62 .0457 1 0.97 2.48 .0458 1 0.97 2.58 .0459 1 0.97 2.48 .0460 1 0.97 2.58 .0461 1 0.97 2.55 .0462 1 0.97 2.48 .0463 1 0.97 2.46 .0464 1 0.97 2.52 .0465 2 0.97 2.40 .0466 1 0.97 2.50 .0467 1 0.97 2.60 .0468 1 0.97 2.54 .0469 1 0.97 2.59 .0470 1 0.97 2.51 .0471 1 0.97 2.54 .0472 1 0.97 2.61 .0473 1 0.97 2.62 .0474 1 0.97 2.63 .0475 1 0.97 2.46 .0476 1 0.97 2.43 .0477 1 0.97 2.54 .0478 1 0.97 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4.25 .1811 1 0.92 4.17 .1812 1 0.92 4.09 .1813 1 0.92 4.17 .1814 1 0.92 4.29 .1815 1 0.92 4.13 .1816 1 0.92 4.18 .1817 1 0.92 4.30 .1818 1 0.92 4.08 .1819 1 0.92 4.20 .1820 1 0.92 4.25 .1821 1 0.92 4.34 .1822 1 0.92 4.18 .1823 1 0.92 4.37 .1824 1 0.92 4.38 .1825 1 0.92 4.45 .1826 1 0.92 4.41 .1827 1 0.92 4.44 .1828 1 0.92 4.29 .1829 1 0.92 4.42 .1830 1 0.92 4.33 .1831 1 0.92 4.15 .1832 1 0.92 4.16 .1833 1 0.92 4.19 .1834 1 0.92 4.32 .1835 1 0.92 4.38 .1836 1 0.92 4.32 .1837 1 0.92 4.40 .1838 1 0.92 4.22 .1839 1 0.92 4.48 .1840 1 0.92 4.24 .1841 1 0.92 4.38 .1842 1 0.92 4.49 .1843 1 0.92 4.30 .1844 1 0.92 4.45 .1845 1 0.92 4.46 .1846 1 0.92 4.45 .1847 1 0.91 4.69 .1848 1 0.91 4.50 .1849 1 0.91 4.30 .1850 1 0.91 4.41 .1851 1 0.91 4.36 .1852 1 0.91 4.25 .1853 1 0.91 4.35 .1854 1 0.91 4.32 .1855 1 0.91 4.40 .1856 1 0.91 4.22 .1857 1 0.91 4.40 .1858 1 0.91 4.36 .1859 1 0.91 4.27 .1860 1 0.91 4.48 .1861 1 0.91 4.54 .1862 1 0.91 4.34 .1863 1 0.91 4.56 .1864 1 0.91 5.14 .1865 1 0.91 4.69 .1866 1 0.91 4.58 .1867 1 0.91 4.42 .1868 1 0.91 4.68 .1869 1 0.91 4.63 .1870 1 0.91 4.62 .1871 1 0.91 4.83 .1872 1 0.91 4.62 .1873 1 0.91 4.44 .1874 1 0.91 4.58 .1875 1 0.91 4.79 .1876 1 0.91 4.73 .1877 1 0.91 4.60 .1878 1 0.91 4.46 .1879 1 0.91 4.60 .1880 1 0.91 4.47 .1881 1 0.91 4.30 .1882 1 0.91 4.44 .1883 1 0.91 4.83 .1884 1 0.91 4.39 .1885 2 0.91 4.57 .1886 1 0.91 4.36 .1887 1 0.91 4.51 .1888 1 0.91 4.39 .1889 1 0.91 4.37 .1890 1 0.91 4.48 .1891 1 0.91 4.44 .1892 1 0.91 4.59 .1893 1 0.91 4.69 .1894 1 0.91 4.44 .1895 1 0.91 4.56 .1896 1 0.91 4.52 .1897 1 0.91 4.37 .1898 1 0.91 4.47 .1899 1 0.91 4.36 .1900 1 0.91 4.47 .1901 1 0.91 4.55 .1902 1 0.91 4.54 .1903 1 0.91 4.58 .1904 1 0.91 4.68 .1905 1 0.91 4.72 .1906 1 0.91 4.75 .1907 1 0.91 4.79 .1908 1 0.91 4.76 .1909 1 0.91 5.25 .1910 1 0.91 4.86 .1911 1 0.91 4.67 .1912 1 0.91 4.63 .1913 1 0.91 4.54 .1914 1 0.91 4.61 .1915 1 0.91 4.62 .1916 1 0.91 4.45 .1917 1 0.91 4.68 .1918 1 0.91 4.37 .1919 1 0.91 4.53 .1920 1 0.91 4.55 .1921 1 0.91 4.50 .1922 1 0.91 4.54 .1923 1 0.91 4.46 .1924 1 0.91 4.26 .1925 1 0.91 4.73 .1926 1 0.91 4.38 .1927 1 0.91 4.32 .1928 1 0.91 4.50 .1929 1 0.91 4.29 .1930 1 0.91 4.33 .1931 1 0.91 4.23 .1932 1 0.91 4.41 .1933 1 0.91 4.58 .1934 1 0.91 4.48 .1935 1 0.91 4.28 .1936 1 0.91 4.38 .1937 1 0.91 4.39 .1938 1 0.91 4.30 .1939 1 0.91 4.56 .1940 1 0.91 4.55 .1941 1 0.91 4.62 .1942 1 0.91 4.53 .1943 1 0.91 4.80 .1944 1 0.91 4.55 .1945 1 0.91 4.69 .1946 1 0.91 4.68 .1947 1 0.91 4.45 .1948 1 0.91 4.46 .1949 1 0.91 4.44 .1950 1 0.91 4.47 .1951 1 0.91 4.45 .1952 1 0.92 4.66 .1953 1 0.92 4.57 .1954 1 0.92 4.48 .1955 1 0.92 4.60 .1956 1 0.92 4.47 .1957 1 0.92 4.72 .1958 1 0.92 4.96 .1959 1 0.92 4.49 .1960 1 0.92 4.76 .1961 1 0.92 4.73 .1962 1 0.92 4.58 .1963 1 0.92 4.50 .1964 1 0.92 4.49 .1965 1 0.92 4.66 .1966 1 0.92 4.79 .1967 1 0.92 4.55 .1968 1 0.92 4.61 .1969 1 0.92 4.38 .1970 1 0.92 4.42 .1971 1 0.92 4.44 .1972 1 0.92 4.33 .1973 1 0.92 4.40 .1974 1 0.92 4.42 .1975 1 0.92 4.31 .1976 1 0.92 4.33 .1977 1 0.92 4.45 .1978 1 0.92 4.42 .1979 1 0.92 4.46 .1980 1 0.92 4.25 .1981 1 0.92 4.46 .1982 1 0.92 4.54 .1983 1 0.92 4.22 .1984 1 0.92 4.64 .1985 1 0.92 4.46 .1986 1 0.92 4.61 .1987 1 0.92 4.41 .1988 2 0.92 4.72 .1989 1 0.92 4.56 .1990 1 0.92 4.71 .1991 1 0.92 4.54 .1992 1 0.92 4.36 .1993 1 0.92 4.48 .1994 1 0.92 4.63 .1995 1 0.92 4.63 .1996 1 0.92 4.51 .1997 1 0.92 4.77 .1998 1 0.92 4.38 .1999 1 0.92 4.38 .2000 1 0.92 4.51 .2001 1 0.92 4.60 .2002 1 0.92 4.53 .2003 1 0.92 4.44 .2004 1 0.92 4.57 .2005 1 0.92 4.69 .2006 1 0.92 4.47 .2007 1 0.92 4.49 .2008 1 0.92 4.26 .2009 1 0.92 4.32 .2010 1 0.92 4.44 .2011 1 0.92 4.37 .2012 1 0.92 4.28 .2013 1 0.92 4.61 .2014 1 0.92 4.29 .2015 1 0.92 4.25 .2016 1 0.92 4.30 .2017 1 0.92 4.08 .2018 1 0.92 4.39 .2019 1 0.92 4.32 .2020 1 0.92 4.62 .2021 1 0.92 4.16 .2022 1 0.92 4.51 .2023 1 0.92 4.35 .2024 1 0.92 4.51 .2025 1 0.92 4.68 .2026 1 0.92 4.31 .2027 1 0.92 4.70 .2028 1 0.92 4.67 .2029 1 0.92 4.66 .2030 1 0.92 4.46 .2031 1 0.92 4.43 .2032 1 0.92 4.48 .2033 1 0.92 4.46 .2034 1 0.92 4.42 .2035 1 0.92 4.34 .2036 1 0.92 4.61 .2037 1 0.92 4.27 .2038 1 0.92 4.58 .2039 1 0.92 4.44 .2040 1 0.92 4.24 .2041 1 0.92 4.20 .2042 1 0.92 4.32 .2043 1 0.92 4.48 .2044 1 0.92 4.39 .2045 1 0.92 4.40 .2046 1 0.92 4.31 .2047 1 0.92 4.40 EXTRACT_IMAGE: r1: masked 259 pixels DOSCATTER: r1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r1: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r1: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.14 Step 12 of 2112 0.58 96 0.02 0.14 Step 20 of 2112 0.58 96 0.02 0.14 Step 28 of 2112 0.58 96 0.02 0.14 Step 36 of 2112 0.58 96 0.02 0.14 Step 44 of 2112 0.58 96 0.02 0.14 Step 52 of 2112 0.59 96 0.02 0.13 Step 60 of 2112 0.59 96 0.02 0.14 Step 68 of 2112 0.59 96 0.03 0.13 Step 76 of 2112 0.59 96 0.02 0.14 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.14 Step 100 of 2112 0.59 96 0.03 0.14 Step 108 of 2112 0.59 96 0.02 0.14 Step 116 of 2112 0.60 96 0.03 0.14 Step 124 of 2112 0.60 96 0.03 0.14 Step 132 of 2112 0.60 96 0.02 0.16 Step 140 of 2112 0.60 96 0.03 0.15 Step 148 of 2112 0.60 96 0.03 0.15 Step 156 of 2112 0.60 96 0.03 0.14 Step 164 of 2112 0.60 96 0.03 0.14 Step 172 of 2112 0.60 96 0.02 0.14 Step 180 of 2112 0.60 96 0.02 0.16 Step 188 of 2112 0.61 96 0.03 0.16 Step 196 of 2112 0.61 96 0.03 0.14 Step 204 of 2112 0.61 96 0.02 0.13 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.03 0.14 Step 228 of 2112 0.61 96 0.02 0.14 Step 236 of 2112 0.61 96 0.02 0.14 Step 244 of 2112 0.61 96 0.03 0.15 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.03 0.15 Step 268 of 2112 0.62 96 0.03 0.15 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.14 Step 300 of 2112 0.62 96 0.02 0.14 Step 308 of 2112 0.62 96 0.02 0.14 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.03 0.16 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.14 Step 348 of 2112 0.63 96 0.02 0.14 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.63 96 0.02 0.15 Step 372 of 2112 0.63 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.14 Step 396 of 2112 0.64 96 0.02 0.14 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.16 Step 452 of 2112 0.65 96 0.02 0.16 Step 460 of 2112 0.65 96 0.03 0.16 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.16 Step 484 of 2112 0.65 128 0.03 0.23 Step 492 of 2112 0.65 128 0.02 0.20 Step 500 of 2112 0.65 128 0.03 0.21 Step 508 of 2112 0.66 128 0.03 0.20 Step 516 of 2112 0.66 128 0.03 0.22 Step 524 of 2112 0.66 128 0.03 0.21 Step 532 of 2112 0.66 128 0.02 0.19 Step 540 of 2112 0.66 128 0.03 0.20 Step 548 of 2112 0.66 128 0.02 0.20 Step 556 of 2112 0.66 128 0.03 0.24 Step 564 of 2112 0.66 128 0.03 0.22 Step 572 of 2112 0.67 128 0.02 0.20 Step 580 of 2112 0.67 128 0.03 0.19 Step 588 of 2112 0.67 128 0.04 0.20 Step 596 of 2112 0.67 128 0.03 0.21 Step 604 of 2112 0.67 128 0.02 0.21 Step 612 of 2112 0.67 128 0.02 0.22 Step 620 of 2112 0.67 128 0.03 0.21 Step 628 of 2112 0.67 128 0.03 0.21 Step 636 of 2112 0.68 128 0.02 0.20 Step 644 of 2112 0.68 128 0.03 0.23 Step 652 of 2112 0.68 128 0.04 0.24 Step 660 of 2112 0.68 128 0.04 0.25 Step 668 of 2112 0.68 128 0.02 0.23 Step 676 of 2112 0.68 128 0.03 0.21 Step 684 of 2112 0.68 128 0.02 0.21 Step 692 of 2112 0.69 128 0.03 0.21 Step 700 of 2112 0.69 128 0.03 0.20 Step 708 of 2112 0.69 128 0.02 0.21 Step 716 of 2112 0.69 128 0.02 0.20 Step 724 of 2112 0.69 128 0.03 0.21 Step 732 of 2112 0.69 128 0.03 0.20 Step 740 of 2112 0.69 128 0.02 0.21 Step 748 of 2112 0.69 128 0.03 0.21 Step 756 of 2112 0.70 128 0.03 0.20 Step 764 of 2112 0.70 128 0.02 0.20 Step 772 of 2112 0.70 128 0.02 0.19 Step 780 of 2112 0.70 128 0.03 0.19 Step 788 of 2112 0.70 128 0.03 0.21 Step 796 of 2112 0.70 128 0.03 0.20 Step 804 of 2112 0.70 128 0.04 0.21 Step 812 of 2112 0.70 128 0.04 0.20 Step 820 of 2112 0.71 128 0.03 0.21 Step 828 of 2112 0.71 128 0.03 0.23 Step 836 of 2112 0.71 128 0.02 0.20 Step 844 of 2112 0.71 128 0.03 0.21 Step 852 of 2112 0.71 128 0.02 0.20 Step 860 of 2112 0.71 128 0.03 0.20 Step 868 of 2112 0.71 128 0.02 0.20 Step 876 of 2112 0.72 128 0.02 0.21 Step 884 of 2112 0.72 128 0.03 0.21 Step 892 of 2112 0.72 128 0.03 0.19 Step 900 of 2112 0.72 128 0.03 0.20 Step 908 of 2112 0.72 128 0.03 0.20 Step 916 of 2112 0.72 128 0.02 0.20 Step 924 of 2112 0.72 128 0.02 0.20 Step 932 of 2112 0.72 128 0.03 0.21 Step 940 of 2112 0.73 128 0.03 0.20 Step 948 of 2112 0.73 128 0.02 0.19 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.02 0.19 Step 972 of 2112 0.73 128 0.02 0.21 Step 980 of 2112 0.73 160 0.03 0.34 Step 988 of 2112 0.73 160 0.02 0.32 Step 996 of 2112 0.74 160 0.02 0.31 Step 1004 of 2112 0.74 160 0.03 0.35 Step 1012 of 2112 0.74 160 0.03 0.34 Step 1020 of 2112 0.74 160 0.03 0.33 Step 1028 of 2112 0.74 160 0.03 0.34 Step 1036 of 2112 0.74 160 0.03 0.34 Step 1044 of 2112 0.74 160 0.03 0.35 Step 1052 of 2112 0.75 160 0.03 0.34 Step 1060 of 2112 0.75 160 0.03 0.33 Step 1068 of 2112 0.75 160 0.03 0.33 Step 1076 of 2112 0.75 160 0.03 0.33 Step 1084 of 2112 0.75 160 0.03 0.32 Step 1092 of 2112 0.75 160 0.03 0.32 Step 1100 of 2112 0.75 160 0.03 0.32 Step 1108 of 2112 0.75 160 0.03 0.33 Step 1116 of 2112 0.76 160 0.03 0.32 Step 1124 of 2112 0.76 160 0.03 0.32 Step 1132 of 2112 0.76 160 0.03 0.33 Step 1140 of 2112 0.76 160 0.03 0.32 Step 1148 of 2112 0.76 160 0.03 0.32 Step 1156 of 2112 0.76 160 0.03 0.32 Step 1164 of 2112 0.76 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.32 Step 1188 of 2112 0.77 160 0.03 0.32 Step 1196 of 2112 0.77 160 0.03 0.38 Step 1204 of 2112 0.77 160 0.04 0.35 Step 1212 of 2112 0.77 160 0.04 0.35 Step 1220 of 2112 0.77 160 0.04 0.35 Step 1228 of 2112 0.78 160 0.04 0.34 Step 1236 of 2112 0.78 160 0.04 0.34 Step 1244 of 2112 0.78 160 0.04 0.35 Step 1252 of 2112 0.78 160 0.04 0.35 Step 1260 of 2112 0.78 160 0.04 0.34 Step 1268 of 2112 0.78 160 0.04 0.36 Step 1276 of 2112 0.78 160 0.04 0.34 Step 1284 of 2112 0.78 160 0.03 0.34 Step 1292 of 2112 0.79 160 0.03 0.32 Step 1300 of 2112 0.79 160 0.03 0.32 Step 1308 of 2112 0.79 160 0.03 0.32 Step 1316 of 2112 0.79 160 0.03 0.32 Step 1324 of 2112 0.79 160 0.03 0.31 Step 1332 of 2112 0.79 160 0.03 0.34 Step 1340 of 2112 0.79 160 0.04 0.33 Step 1348 of 2112 0.80 160 0.04 0.33 Step 1356 of 2112 0.80 160 0.04 0.36 Step 1364 of 2112 0.80 192 0.04 0.38 Step 1372 of 2112 0.80 192 0.04 0.40 Step 1380 of 2112 0.80 192 0.04 0.37 Step 1388 of 2112 0.80 192 0.06 0.39 Step 1396 of 2112 0.80 192 0.05 0.39 Step 1404 of 2112 0.81 192 0.04 0.38 Step 1412 of 2112 0.81 192 0.04 0.36 Step 1420 of 2112 0.81 192 0.05 0.37 Step 1428 of 2112 0.81 192 0.04 0.35 Step 1436 of 2112 0.81 192 0.05 0.38 Step 1444 of 2112 0.81 192 0.05 0.37 Step 1452 of 2112 0.81 192 0.06 0.39 Step 1460 of 2112 0.82 192 0.05 0.38 Step 1468 of 2112 0.82 192 0.05 0.38 Step 1476 of 2112 0.82 192 0.04 0.39 Step 1484 of 2112 0.82 192 0.05 0.39 Step 1492 of 2112 0.82 192 0.05 0.40 Step 1500 of 2112 0.82 192 0.04 0.38 Step 1508 of 2112 0.82 192 0.04 0.38 Step 1516 of 2112 0.83 192 0.04 0.37 Step 1524 of 2112 0.83 192 0.03 0.37 Step 1532 of 2112 0.83 192 0.04 0.44 Step 1540 of 2112 0.83 192 0.03 0.45 Step 1548 of 2112 0.83 192 0.04 0.39 Step 1556 of 2112 0.83 192 0.04 0.45 Step 1564 of 2112 0.83 192 0.03 0.37 Step 1572 of 2112 0.84 192 0.02 0.35 Step 1580 of 2112 0.84 192 0.03 0.35 Step 1588 of 2112 0.84 192 0.04 0.36 Step 1596 of 2112 0.84 192 0.04 0.36 Step 1604 of 2112 0.84 192 0.03 0.36 Step 1612 of 2112 0.84 192 0.04 0.39 Step 1620 of 2112 0.84 192 0.05 0.42 Step 1628 of 2112 0.84 192 0.04 0.40 Step 1636 of 2112 0.85 192 0.04 0.39 Step 1644 of 2112 0.85 192 0.04 0.38 Step 1652 of 2112 0.85 192 0.04 0.39 Step 1660 of 2112 0.85 192 0.04 0.39 Step 1668 of 2112 0.85 192 0.04 0.39 Step 1676 of 2112 0.85 192 0.04 0.37 Step 1684 of 2112 0.85 192 0.04 0.36 Step 1692 of 2112 0.86 224 0.04 0.48 Step 1700 of 2112 0.86 224 0.05 0.51 Step 1708 of 2112 0.86 224 0.05 0.50 Step 1716 of 2112 0.86 224 0.05 0.49 Step 1724 of 2112 0.86 224 0.06 0.54 Step 1732 of 2112 0.86 224 0.04 0.47 Step 1740 of 2112 0.86 224 0.04 0.47 Step 1748 of 2112 0.87 224 0.05 0.47 Step 1756 of 2112 0.87 224 0.06 0.49 Step 1764 of 2112 0.87 224 0.06 0.55 Step 1772 of 2112 0.87 224 0.06 0.56 Step 1780 of 2112 0.87 224 0.07 0.55 Step 1788 of 2112 0.87 224 0.05 0.52 Step 1796 of 2112 0.87 224 0.05 0.50 Step 1804 of 2112 0.88 224 0.04 0.50 Step 1812 of 2112 0.88 224 0.06 0.52 Step 1820 of 2112 0.88 224 0.05 0.50 Step 1828 of 2112 0.88 224 0.04 0.48 Step 1836 of 2112 0.88 224 0.04 0.51 Step 1844 of 2112 0.88 224 0.04 0.54 Step 1852 of 2112 0.88 224 0.04 0.51 Step 1860 of 2112 0.89 224 0.05 0.57 Step 1868 of 2112 0.89 224 0.05 0.56 Step 1876 of 2112 0.89 224 0.05 0.57 Step 1884 of 2112 0.89 224 0.06 0.55 Step 1892 of 2112 0.89 224 0.04 0.48 Step 1900 of 2112 0.89 224 0.05 0.49 Step 1908 of 2112 0.89 224 0.05 0.53 Step 1916 of 2112 0.90 224 0.05 0.50 Step 1924 of 2112 0.90 224 0.06 0.59 Step 1932 of 2112 0.90 224 0.05 0.51 Step 1940 of 2112 0.90 224 0.06 0.63 Step 1948 of 2112 0.90 224 0.06 0.55 Step 1956 of 2112 0.90 224 0.05 0.53 Step 1964 of 2112 0.90 256 0.06 0.52 Step 1972 of 2112 0.91 256 0.05 0.56 Step 1980 of 2112 0.91 256 0.06 0.54 Step 1988 of 2112 0.91 256 0.05 0.53 Step 1996 of 2112 0.91 256 0.07 0.57 Step 2004 of 2112 0.91 256 0.06 0.56 Step 2012 of 2112 0.91 256 0.07 0.53 Step 2020 of 2112 0.91 256 0.05 0.55 Step 2028 of 2112 0.92 256 0.06 0.55 Step 2036 of 2112 0.92 256 0.06 0.65 Step 2044 of 2112 0.92 256 0.05 0.51 Step 2052 of 2112 0.92 256 0.05 0.52 Step 2060 of 2112 0.92 256 0.05 0.59 Step 2068 of 2112 0.92 256 0.05 0.58 Step 2076 of 2112 0.92 256 0.05 0.56 Step 2084 of 2112 0.93 256 0.04 0.54 Step 2092 of 2112 0.93 256 0.03 0.51 Step 2100 of 2112 0.93 256 0.05 0.49 Step 2108 of 2112 0.93 256 0.05 0.49 ROW NITER SIG(med) CHI^2 .0000 2 1.04 1.45 .0001 3 1.04 1.16 .0002 2 1.04 1.29 .0003 2 1.04 1.34 .0004 2 1.04 1.22 .0005 2 1.04 1.25 .0006 2 1.04 1.24 .0007 2 1.04 1.21 .0008 2 1.04 1.36 .0009 2 1.04 1.29 .0010 2 1.04 1.30 .0011 2 1.04 1.33 .0012 2 1.04 1.32 .0013 2 1.04 1.28 .0014 2 1.04 1.36 .0015 2 1.04 1.32 .0016 2 1.04 1.36 .0017 2 1.04 1.34 .0018 2 1.04 1.24 .0019 2 1.03 1.37 .0020 2 1.03 1.34 .0021 2 1.03 1.45 .0022 2 1.03 1.34 .0023 2 1.03 1.43 .0024 2 1.03 1.41 .0025 3 1.03 1.44 .0026 3 1.03 1.42 .0027 2 1.03 1.47 .0028 2 1.03 1.54 .0029 1 1.03 1.84 .0030 2 1.03 1.37 .0031 2 1.03 1.41 .0032 2 1.03 1.53 .0033 2 1.03 1.45 .0034 2 1.03 1.47 .0035 2 1.03 1.53 .0036 1 1.03 1.72 .0037 2 1.03 1.46 .0038 1 1.03 1.77 .0039 2 1.03 1.50 .0040 1 1.03 1.79 .0041 1 1.03 1.69 .0042 1 1.03 1.77 .0043 1 1.03 1.83 .0044 1 1.03 1.83 .0045 1 1.03 1.84 .0046 1 1.03 1.93 .0047 1 1.03 1.93 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.1491 1 0.92 2.26 .1492 1 0.92 2.08 .1493 1 0.92 2.09 .1494 2 0.92 2.14 .1495 1 0.92 2.16 .1496 1 0.92 2.10 .1497 1 0.92 2.22 .1498 1 0.92 2.22 .1499 2 0.92 2.07 .1500 1 0.92 2.12 .1501 1 0.92 2.20 .1502 1 0.92 2.19 .1503 2 0.92 2.17 .1504 2 0.92 2.24 .1505 2 0.92 2.27 .1506 1 0.92 2.43 .1507 1 0.92 2.19 .1508 1 0.92 2.10 .1509 2 0.92 2.17 .1510 1 0.92 2.20 .1511 1 0.92 2.11 .1512 1 0.92 2.14 .1513 1 0.92 2.18 .1514 1 0.92 2.16 .1515 1 0.92 2.23 .1516 1 0.92 2.22 .1517 1 0.92 2.49 .1518 1 0.92 2.18 .1519 1 0.92 2.19 .1520 1 0.92 2.03 .1521 1 0.92 2.13 .1522 1 0.92 2.25 .1523 1 0.92 2.23 .1524 1 0.92 2.25 .1525 1 0.92 2.20 .1526 1 0.92 2.11 .1527 1 0.92 2.08 .1528 1 0.92 2.04 .1529 1 0.92 2.23 .1530 1 0.92 2.10 .1531 1 0.92 2.16 .1532 1 0.92 2.15 .1533 1 0.92 2.03 .1534 1 0.92 2.18 .1535 1 0.92 2.20 .1536 1 0.92 2.12 .1537 1 0.92 2.20 .1538 1 0.92 2.29 .1539 1 0.92 2.34 .1540 1 0.92 2.16 .1541 1 0.92 2.09 .1542 1 0.92 2.34 .1543 1 0.92 2.18 .1544 1 0.92 2.27 .1545 2 0.92 2.34 .1546 1 0.92 2.15 .1547 1 0.92 2.13 .1548 1 0.92 2.24 .1549 1 0.92 2.20 .1550 1 0.92 2.10 .1551 1 0.92 2.09 .1552 1 0.92 2.13 .1553 1 0.92 2.21 .1554 1 0.92 2.15 .1555 1 0.92 2.11 .1556 1 0.92 2.18 .1557 1 0.92 2.15 .1558 1 0.92 2.31 .1559 1 0.92 2.25 .1560 1 0.92 2.32 .1561 1 0.92 2.03 .1562 1 0.92 2.21 .1563 1 0.92 2.26 .1564 1 0.92 2.32 .1565 1 0.92 2.06 .1566 1 0.92 2.21 .1567 1 0.92 2.09 .1568 1 0.92 2.08 .1569 1 0.92 2.32 .1570 1 0.92 2.31 .1571 1 0.92 2.16 .1572 1 0.92 2.25 .1573 1 0.92 2.11 .1574 1 0.92 2.23 .1575 1 0.92 2.21 .1576 1 0.92 2.27 .1577 1 0.92 2.17 .1578 1 0.92 2.11 .1579 1 0.92 2.10 .1580 1 0.92 2.05 .1581 1 0.92 2.05 .1582 1 0.92 2.08 .1583 1 0.92 2.23 .1584 1 0.92 2.08 .1585 1 0.92 2.18 .1586 1 0.92 2.14 .1587 1 0.92 2.17 .1588 1 0.92 2.13 .1589 1 0.92 2.12 .1590 1 0.92 2.29 .1591 1 0.92 2.30 .1592 2 0.92 2.22 .1593 1 0.92 2.20 .1594 1 0.92 2.09 .1595 1 0.92 2.11 .1596 1 0.92 2.07 .1597 1 0.92 2.25 .1598 1 0.92 2.26 .1599 1 0.92 2.13 .1600 1 0.92 2.22 .1601 1 0.92 2.27 .1602 1 0.92 2.11 .1603 1 0.92 2.16 .1604 1 0.92 2.32 .1605 1 0.92 2.25 .1606 1 0.92 2.41 .1607 1 0.92 2.35 .1608 1 0.92 2.21 .1609 1 0.92 2.26 .1610 1 0.92 2.18 .1611 1 0.92 2.14 .1612 1 0.92 2.02 .1613 1 0.92 2.31 .1614 1 0.92 2.10 .1615 1 0.92 2.18 .1616 1 0.92 2.21 .1617 1 0.92 2.34 .1618 1 0.92 2.90 .1619 1 0.92 2.18 .1620 1 0.92 2.22 .1621 1 0.92 2.42 .1622 3 0.92 2.22 .1623 1 0.92 2.11 .1624 1 0.92 2.20 .1625 1 0.92 2.23 .1626 1 0.92 2.28 .1627 1 0.92 2.21 .1628 1 0.92 2.18 .1629 1 0.92 2.08 .1630 1 0.92 2.12 .1631 1 0.92 2.06 .1632 1 0.92 2.11 .1633 1 0.92 2.20 .1634 2 0.92 2.24 .1635 2 0.92 2.13 .1636 1 0.92 2.12 .1637 1 0.92 2.27 .1638 1 0.92 2.19 .1639 1 0.92 2.20 .1640 1 0.92 2.18 .1641 1 0.92 2.20 .1642 1 0.92 2.15 .1643 1 0.92 2.25 .1644 1 0.92 2.26 .1645 1 0.92 2.31 .1646 1 0.92 2.37 .1647 1 0.92 2.08 .1648 1 0.92 2.26 .1649 1 0.92 2.39 .1650 1 0.92 2.31 .1651 1 0.92 2.37 .1652 1 0.92 2.31 .1653 1 0.92 2.23 .1654 1 0.92 2.15 .1655 1 0.92 2.33 .1656 1 0.92 2.28 .1657 1 0.92 2.06 .1658 1 0.92 2.15 .1659 1 0.92 2.16 .1660 1 0.92 2.47 .1661 1 0.92 2.37 .1662 1 0.92 2.19 .1663 1 0.92 2.29 .1664 1 0.92 2.27 .1665 1 0.92 2.19 .1666 1 0.92 2.16 .1667 1 0.92 2.32 .1668 2 0.92 2.21 .1669 3 0.92 2.28 .1670 1 0.92 2.17 .1671 2 0.92 2.14 .1672 1 0.92 2.13 .1673 1 0.92 2.08 .1674 2 0.92 2.02 .1675 1 0.92 2.06 .1676 1 0.92 2.23 .1677 1 0.92 2.17 .1678 1 0.92 2.21 .1679 2 0.92 2.19 .1680 1 0.92 2.28 .1681 1 0.92 2.34 .1682 1 0.92 2.33 .1683 1 0.92 2.26 .1684 1 0.92 2.21 .1685 1 0.92 2.22 .1686 1 0.92 2.30 .1687 1 0.92 2.30 .1688 1 0.92 2.23 .1689 1 0.92 2.40 .1690 1 0.92 2.38 .1691 1 0.92 2.30 .1692 1 0.92 2.27 .1693 1 0.92 2.25 .1694 1 0.92 2.21 .1695 1 0.92 2.36 .1696 1 0.92 2.24 .1697 1 0.92 2.50 .1698 1 0.92 2.22 .1699 1 0.92 2.32 .1700 1 0.92 2.30 .1701 1 0.92 2.33 .1702 1 0.92 2.35 .1703 1 0.92 2.49 .1704 2 0.92 2.24 .1705 1 0.92 2.25 .1706 1 0.92 2.26 .1707 1 0.92 2.17 .1708 1 0.92 2.21 .1709 1 0.92 2.30 .1710 2 0.92 2.28 .1711 1 0.92 2.47 .1712 1 0.92 2.25 .1713 1 0.92 2.26 .1714 1 0.92 2.25 .1715 1 0.92 2.44 .1716 1 0.92 2.31 .1717 1 0.92 2.32 .1718 1 0.92 2.32 .1719 1 0.92 2.32 .1720 1 0.92 2.17 .1721 1 0.92 2.26 .1722 1 0.92 2.18 .1723 1 0.92 2.35 .1724 1 0.92 2.32 .1725 1 0.92 2.27 .1726 2 0.92 2.36 .1727 1 0.92 2.53 .1728 1 0.92 2.15 .1729 1 0.92 2.27 .1730 1 0.92 2.23 .1731 1 0.92 2.38 .1732 1 0.92 2.25 .1733 1 0.92 2.26 .1734 1 0.92 2.29 .1735 1 0.92 2.30 .1736 1 0.92 2.28 .1737 1 0.92 2.42 .1738 1 0.92 2.36 .1739 1 0.92 2.33 .1740 1 0.92 2.34 .1741 1 0.92 2.38 .1742 1 0.92 2.26 .1743 2 0.92 2.26 .1744 1 0.92 2.30 .1745 1 0.92 2.42 .1746 1 0.92 2.31 .1747 2 0.92 2.26 .1748 1 0.92 2.30 .1749 1 0.92 2.27 .1750 1 0.92 2.25 .1751 1 0.92 2.23 .1752 1 0.92 2.24 .1753 1 0.92 2.33 .1754 1 0.92 2.41 .1755 1 0.92 2.27 .1756 1 0.92 2.12 .1757 1 0.92 2.27 .1758 1 0.92 2.29 .1759 1 0.92 2.25 .1760 1 0.92 2.06 .1761 1 0.92 2.32 .1762 1 0.92 2.37 .1763 1 0.92 2.21 .1764 1 0.92 2.27 .1765 1 0.92 2.18 .1766 1 0.92 2.16 .1767 1 0.92 2.15 .1768 1 0.92 2.24 .1769 1 0.92 2.36 .1770 1 0.92 2.36 .1771 1 0.92 2.28 .1772 1 0.92 2.33 .1773 1 0.92 2.39 .1774 1 0.92 2.19 .1775 1 0.92 2.35 .1776 1 0.92 2.40 .1777 1 0.92 2.28 .1778 1 0.92 2.27 .1779 1 0.92 2.31 .1780 1 0.92 2.31 .1781 1 0.92 2.30 .1782 1 0.92 2.26 .1783 1 0.92 2.25 .1784 1 0.92 2.41 .1785 1 0.92 2.31 .1786 1 0.92 2.35 .1787 1 0.92 2.34 .1788 1 0.92 2.29 .1789 1 0.92 2.35 .1790 1 0.92 2.37 .1791 1 0.92 2.34 .1792 1 0.92 2.45 .1793 1 0.92 2.31 .1794 1 0.92 2.29 .1795 1 0.92 2.10 .1796 1 0.92 2.36 .1797 1 0.92 2.16 .1798 1 0.92 2.22 .1799 1 0.92 2.33 .1800 2 0.92 2.19 .1801 1 0.92 1.99 .1802 1 0.92 2.19 .1803 1 0.92 2.15 .1804 1 0.92 2.22 .1805 1 0.92 2.19 .1806 1 0.92 2.10 .1807 1 0.92 2.03 .1808 1 0.92 2.18 .1809 1 0.92 2.16 .1810 1 0.92 2.22 .1811 1 0.92 2.30 .1812 1 0.92 2.29 .1813 1 0.92 2.27 .1814 1 0.92 2.33 .1815 1 0.92 2.22 .1816 1 0.92 2.34 .1817 1 0.92 2.34 .1818 1 0.92 2.20 .1819 1 0.92 2.29 .1820 1 0.92 2.21 .1821 1 0.92 2.29 .1822 1 0.92 2.28 .1823 1 0.92 2.40 .1824 1 0.92 2.47 .1825 1 0.92 2.48 .1826 1 0.92 2.37 .1827 1 0.92 2.42 .1828 1 0.92 2.31 .1829 1 0.92 2.35 .1830 1 0.92 2.28 .1831 1 0.92 2.29 .1832 1 0.92 2.29 .1833 1 0.92 2.18 .1834 1 0.92 2.36 .1835 1 0.92 2.32 .1836 1 0.92 2.31 .1837 1 0.92 2.33 .1838 1 0.92 2.30 .1839 1 0.92 2.46 .1840 1 0.92 2.29 .1841 1 0.92 2.30 .1842 1 0.92 2.37 .1843 1 0.92 2.27 .1844 1 0.92 2.29 .1845 1 0.92 2.34 .1846 1 0.92 2.38 .1847 1 0.91 2.51 .1848 1 0.91 2.32 .1849 1 0.91 2.25 .1850 1 0.91 2.26 .1851 1 0.91 2.34 .1852 1 0.91 2.27 .1853 1 0.91 2.28 .1854 1 0.91 2.27 .1855 1 0.91 2.23 .1856 1 0.91 2.28 .1857 1 0.91 2.29 .1858 1 0.91 2.31 .1859 1 0.91 2.29 .1860 1 0.91 2.33 .1861 1 0.91 2.43 .1862 1 0.91 2.26 .1863 1 0.91 2.36 .1864 2 0.91 2.32 .1865 1 0.91 2.44 .1866 1 0.91 2.36 .1867 1 0.91 2.26 .1868 1 0.91 2.46 .1869 1 0.91 2.44 .1870 1 0.91 2.33 .1871 1 0.91 2.47 .1872 1 0.91 2.42 .1873 1 0.91 2.22 .1874 1 0.91 2.40 .1875 1 0.91 2.42 .1876 1 0.91 2.44 .1877 1 0.91 2.29 .1878 1 0.91 2.29 .1879 1 0.91 2.31 .1880 1 0.91 2.32 .1881 1 0.91 2.22 .1882 1 0.91 2.34 .1883 1 0.91 2.50 .1884 1 0.91 2.20 .1885 2 0.91 2.37 .1886 1 0.91 2.28 .1887 1 0.91 2.35 .1888 1 0.91 2.28 .1889 1 0.91 2.25 .1890 1 0.91 2.34 .1891 1 0.91 2.34 .1892 1 0.91 2.39 .1893 1 0.91 2.44 .1894 1 0.91 2.31 .1895 1 0.91 2.49 .1896 2 0.91 2.21 .1897 1 0.91 2.31 .1898 1 0.91 2.27 .1899 1 0.91 2.27 .1900 1 0.91 2.33 .1901 1 0.91 2.42 .1902 1 0.91 2.32 .1903 1 0.91 2.39 .1904 1 0.91 2.45 .1905 1 0.91 2.41 .1906 1 0.91 2.49 .1907 1 0.91 2.42 .1908 1 0.91 2.44 .1909 2 0.91 2.46 .1910 1 0.91 2.44 .1911 1 0.91 2.38 .1912 1 0.91 2.40 .1913 1 0.91 2.37 .1914 1 0.91 2.39 .1915 1 0.91 2.39 .1916 1 0.91 2.30 .1917 1 0.91 2.48 .1918 1 0.91 2.24 .1919 1 0.91 2.39 .1920 1 0.91 2.40 .1921 1 0.91 2.46 .1922 1 0.91 2.45 .1923 1 0.91 2.32 .1924 1 0.91 2.32 .1925 1 0.91 2.51 .1926 1 0.91 2.22 .1927 1 0.91 2.29 .1928 1 0.91 2.44 .1929 1 0.91 2.21 .1930 1 0.91 2.31 .1931 1 0.91 2.29 .1932 1 0.91 2.41 .1933 1 0.91 2.38 .1934 1 0.91 2.47 .1935 1 0.91 2.28 .1936 1 0.91 2.36 .1937 1 0.91 2.29 .1938 1 0.91 2.29 .1939 1 0.91 2.51 .1940 1 0.91 2.38 .1941 1 0.91 2.45 .1942 1 0.91 2.46 .1943 1 0.91 2.57 .1944 1 0.91 2.47 .1945 1 0.91 2.47 .1946 1 0.91 2.44 .1947 1 0.91 2.34 .1948 1 0.91 2.42 .1949 1 0.91 2.46 .1950 1 0.91 2.45 .1951 1 0.91 2.36 .1952 1 0.92 2.50 .1953 1 0.92 2.41 .1954 1 0.92 2.31 .1955 1 0.92 2.42 .1956 1 0.92 2.32 .1957 1 0.92 2.58 .1958 1 0.92 2.74 .1959 1 0.92 2.37 .1960 1 0.92 2.52 .1961 1 0.92 2.54 .1962 1 0.92 2.41 .1963 1 0.92 2.36 .1964 1 0.92 2.33 .1965 1 0.92 2.48 .1966 1 0.92 2.56 .1967 1 0.92 2.39 .1968 1 0.92 2.46 .1969 1 0.92 2.33 .1970 1 0.92 2.40 .1971 1 0.92 2.32 .1972 1 0.92 2.26 .1973 1 0.92 2.27 .1974 1 0.92 2.32 .1975 1 0.92 2.27 .1976 1 0.92 2.33 .1977 1 0.92 2.47 .1978 1 0.92 2.43 .1979 1 0.92 2.38 .1980 1 0.92 2.31 .1981 1 0.92 2.42 .1982 1 0.92 2.54 .1983 1 0.92 2.29 .1984 1 0.92 2.57 .1985 1 0.92 2.32 .1986 1 0.92 2.44 .1987 1 0.92 2.41 .1988 2 0.92 2.54 .1989 1 0.92 2.45 .1990 1 0.92 2.59 .1991 1 0.92 2.45 .1992 1 0.92 2.35 .1993 1 0.92 2.43 .1994 1 0.92 2.41 .1995 1 0.92 2.54 .1996 1 0.92 2.41 .1997 1 0.92 2.70 .1998 1 0.92 2.34 .1999 1 0.92 2.35 .2000 1 0.92 2.48 .2001 1 0.92 2.44 .2002 1 0.92 2.59 .2003 1 0.92 2.42 .2004 1 0.92 2.48 .2005 1 0.92 2.64 .2006 1 0.92 2.52 .2007 1 0.92 2.42 .2008 1 0.92 2.29 .2009 1 0.92 2.36 .2010 1 0.92 2.50 .2011 1 0.92 2.54 .2012 1 0.92 2.31 .2013 1 0.92 2.60 .2014 1 0.92 2.38 .2015 1 0.92 2.37 .2016 1 0.92 2.35 .2017 1 0.92 2.25 .2018 1 0.92 2.40 .2019 1 0.92 2.40 .2020 1 0.92 2.64 .2021 1 0.92 2.24 .2022 1 0.92 2.48 .2023 1 0.92 2.45 .2024 1 0.92 2.55 .2025 1 0.92 2.57 .2026 1 0.92 2.28 .2027 1 0.92 2.56 .2028 1 0.92 2.56 .2029 1 0.92 2.57 .2030 1 0.92 2.37 .2031 1 0.92 2.40 .2032 1 0.92 2.47 .2033 1 0.92 2.45 .2034 1 0.92 2.47 .2035 1 0.92 2.46 .2036 1 0.92 2.60 .2037 1 0.92 2.37 .2038 1 0.92 2.67 .2039 1 0.92 2.50 .2040 1 0.92 2.45 .2041 1 0.92 2.44 .2042 1 0.92 2.45 .2043 1 0.92 2.59 .2044 1 0.92 2.63 .2045 1 0.92 2.63 .2046 1 0.92 2.56 .2047 1 0.92 2.50 EXTRACT_IMAGE: r1: masked 340 pixels SPCALIB: r1: First extraction chi^2 1.16874 5.34208 SPCALIB: r1: Second extraction chi^2 1.15794 3.93691 SUPERFLAT: r1: Creating superflat from 304 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179Lowest breakpoint does not cover lowest x value: changing .0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313highest breakpoint does not cover highest x value, changing .0314.0315.0316.0317.0318.0319 FIBERFLAT: r1: Number of fiberflat points LE 0 = 10495 SPCALIB: r1: Elapsed time = 530. seconds SPREDUCE: r1: Best flat = sdR-r1-00034591.fit SPREDUCE: r1: Best arc = sdR-r1-00034592.fit QAPLOT_ARCLINE: r1: Number of arc lines: 35 QAPLOT_ARCLINE: r1: Number of arc lines above 8000 Ang: 10 QAPLOT_ARCLINE: r1: Arcline 0: lambda= 5852.49 Ang, median dev= -0.017 pix, sigma dev= 0.026 pix QAPLOT_ARCLINE: r1: Arcline 1: lambda= 5881.90 Ang, median dev= -0.016 pix, sigma dev= 0.022 pix QAPLOT_ARCLINE: r1: Arcline 2: lambda= 5944.83 Ang, median dev= 0.017 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: r1: Arcline 3: lambda= 6030.00 Ang, median dev= 0.030 pix, sigma dev= 0.019 pix QAPLOT_ARCLINE: r1: Arcline 4: lambda= 6074.34 Ang, median dev= 0.010 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 5: lambda= 6096.16 Ang, median dev= -0.001 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 6: lambda= 6143.06 Ang, median dev= -0.020 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 7: lambda= 6163.59 Ang, median dev= -0.024 pix, sigma dev= 0.012 pix QAPLOT_ARCLINE: r1: Arcline 8: lambda= 6217.28 Ang, median dev= 0.012 pix, sigma dev= 0.012 pix QAPLOT_ARCLINE: r1: Arcline 9: lambda= 6266.49 Ang, median dev= 0.013 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r1: Arcline 10: lambda= 6304.79 Ang, median dev= 0.008 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 11: lambda= 6334.43 Ang, median dev= 0.005 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 12: lambda= 6382.99 Ang, median dev= 0.004 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 13: lambda= 6402.25 Ang, median dev= 0.000 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 14: lambda= 6506.53 Ang, median dev= -0.006 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r1: Arcline 15: lambda= 6532.88 Ang, median dev= -0.004 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 16: lambda= 6598.95 Ang, median dev= -0.001 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 17: lambda= 6717.04 Ang, median dev= -0.008 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 18: lambda= 6929.47 Ang, median dev= -0.004 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 19: lambda= 7173.94 Ang, median dev= 0.003 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r1: Arcline 20: lambda= 7245.17 Ang, median dev= -0.005 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 21: lambda= 7438.90 Ang, median dev= 0.003 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r1: Arcline 22: lambda= 7488.87 Ang, median dev= 0.007 pix, sigma dev= 0.017 pix QAPLOT_ARCLINE: r1: Arcline 23: lambda= 7535.77 Ang, median dev= 0.013 pix, sigma dev= 0.019 pix QAPLOT_ARCLINE: r1: Arcline 24: lambda= 7635.11 Ang, median dev= 0.016 pix, sigma dev= 0.031 pix QAPLOT_ARCLINE: r1: Arcline 25: lambda= 8014.79 Ang, median dev= 0.020 pix, sigma dev= 0.071 pix QAPLOT_ARCLINE: r1: Arcline 26: lambda= 8103.69 Ang, median dev= 0.021 pix, sigma dev= 0.057 pix QAPLOT_ARCLINE: r1: Arcline 27: lambda= 8300.33 Ang, median dev= 0.027 pix, sigma dev= 0.024 pix QAPLOT_ARCLINE: r1: Arcline 28: lambda= 8377.61 Ang, median dev= -0.035 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: r1: Arcline 29: lambda= 8495.36 Ang, median dev= -0.012 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r1: Arcline 30: lambda= 8591.26 Ang, median dev= -0.006 pix, sigma dev= 0.025 pix QAPLOT_ARCLINE: r1: Arcline 31: lambda= 8634.65 Ang, median dev= 0.002 pix, sigma dev= 0.029 pix QAPLOT_ARCLINE: r1: Arcline 32: lambda= 8654.38 Ang, median dev= 0.033 pix, sigma dev= 0.018 pix QAPLOT_ARCLINE: r1: Arcline 33: lambda= 8853.87 Ang, median dev= 0.002 pix, sigma dev= 0.043 pix QAPLOT_ARCLINE: r1: Arcline 34: lambda= 9122.97 Ang, median dev= -0.006 pix, sigma dev= 0.088 pix SPREDUCE: sdR-r1-00034587.fit: Reading object sdR-r1-00034587.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034587.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034587.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034587.fit: Measured read-noise in DN for amp# 2 = 3.86488 SDSSPROC: sdR-r1-00034587.fit: Measured bias value in DN for amp# 2 = 1192.40 SDSSPROC: sdR-r1-00034587.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034587.fit: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: sdR-r1-00034587.fit: Measured read-noise in DN for amp# 3 = 3.69265 SDSSPROC: sdR-r1-00034587.fit: Measured bias value in DN for amp# 3 = 1241.25 SDSSPROC: sdR-r1-00034587.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034587.fit: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 SDSSPROC: sdR-r1-00034587.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034587.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034587.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034587.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034587.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034587.fit: Science 25-th-percentile = 670.130 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034587.fit: Whopping fibers: 7 18 24 36 38 42 47 53 55 58 66 71 77 79 83 93 99 121 125 128 130 133 138 149 202 205 209 217 219 224 226 228 241 243 250 252 259 265 270 276 278 282 284 288 290 293 295 297 303 307 310 313 315 EXTRACT_OBJECT: sdR-r1-00034587.fit: Median counts in all fibers = 22213.2 EXTRACT_OBJECT: sdR-r1-00034587.fit: Number of bright fibers = 53 EXTRACT_OBJECT: sdR-r1-00034587.fit: Sky fiber median 2423.05 EXTRACT_OBJECT: sdR-r1-00034587.fit: 5% and 95% count levels 1206.26 44421.3 EXTRACT_OBJECT: sdR-r1-00034587.fit: WARNING: Disable whopping terms sdR-r1-00034587.fit MATCH_TRACE: sdR-r1-00034587.fit: Iteration: 0 Pixels Rejected: 25585 Finished? 0 MATCH_TRACE: sdR-r1-00034587.fit: Iteration: 1 Pixels Rejected: 474 Finished? 0 MATCH_TRACE: sdR-r1-00034587.fit: Iteration: 2 Pixels Rejected: 45 Finished? 0 MATCH_TRACE: sdR-r1-00034587.fit: Iteration: 3 Pixels Rejected: 7 Finished? 0 MATCH_TRACE: sdR-r1-00034587.fit: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: sdR-r1-00034587.fit: Iteration: 5 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-r1-00034587.fit: Warning: Large number of pixels rejected! 26112 EXTRACT_OBJECT: sdR-r1-00034587.fit: Shifting traces by match_trace 0.116577 EXTRACT_OBJECT: sdR-r1-00034587.fit: Extracting frame sdR-r1-00034587.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034587.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 4 1.04 1.87 .0001 4 1.04 1.92 .0002 3 1.04 1.84 .0003 2 1.04 1.91 .0004 3 1.04 1.91 .0005 2 1.04 1.88 .0006 2 1.04 1.97 .0007 2 1.04 2.10 .0008 3 1.04 1.98 .0009 3 1.04 2.14 .0010 3 1.04 2.18 .0011 2 1.04 2.44 .0012 3 1.04 2.05 .0013 3 1.04 2.19 .0014 4 1.04 2.17 .0015 2 1.04 2.28 .0016 3 1.04 2.43 .0017 3 1.04 2.45 .0018 2 1.04 2.36 .0019 2 1.03 2.57 .0020 2 1.03 2.54 .0021 3 1.03 2.79 .0022 3 1.03 2.94 .0023 5 1.03 2.69 .0024 4 1.03 2.89 .0025 3 1.03 2.73 .0026 2 1.03 2.93 .0027 2 1.03 3.05 .0028 2 1.03 2.88 .0029 2 1.03 2.97 .0030 2 1.03 3.13 .0031 2 1.03 3.00 .0032 3 1.03 3.57 .0033 2 1.03 3.69 .0034 1 1.03 3.56 .0035 1 1.03 3.68 .0036 4 1.03 3.73 .0037 2 1.03 3.86 .0038 3 1.03 3.75 .0039 3 1.03 4.13 .0040 3 1.03 3.91 .0041 2 1.03 4.19 .0042 4 1.03 4.25 .0043 2 1.03 4.24 .0044 3 1.03 4.20 .0045 1 1.03 4.45 .0046 1 1.03 4.51 .0047 1 1.03 4.30 .0048 1 1.03 4.52 .0049 1 1.03 4.82 .0050 3 1.03 4.65 .0051 2 1.03 5.19 .0052 1 1.03 4.95 .0053 1 1.03 5.08 .0054 3 1.03 5.10 .0055 3 1.03 5.41 .0056 1 1.03 5.57 .0057 2 1.03 5.74 .0058 1 1.03 5.60 .0059 2 1.03 5.51 .0060 2 1.03 5.68 .0061 1 1.03 6.17 .0062 1 1.03 5.91 .0063 1 1.03 6.14 .0064 2 1.03 6.54 .0065 3 1.03 6.17 .0066 2 1.03 6.48 .0067 1 1.03 6.62 .0068 1 1.03 6.56 .0069 3 1.03 6.66 .0070 1 1.03 6.75 .0071 1 1.02 7.09 .0072 2 1.02 7.04 .0073 1 1.02 7.04 .0074 1 1.02 7.02 .0075 2 1.02 7.41 .0076 1 1.02 7.24 .0077 2 1.02 8.13 .0078 1 1.02 7.52 .0079 3 1.02 7.49 .0080 1 1.02 7.55 .0081 3 1.02 8.02 .0082 2 1.02 7.62 .0083 2 1.02 8.29 .0084 3 1.02 8.11 .0085 1 1.02 7.88 .0086 2 1.02 8.21 .0087 2 1.02 8.18 .0088 1 1.02 8.43 .0089 1 1.02 8.24 .0090 1 1.02 8.33 .0091 3 1.02 8.64 .0092 2 1.02 8.69 .0093 1 1.02 8.93 .0094 1 1.02 8.71 .0095 1 1.02 8.49 .0096 3 1.02 8.58 .0097 2 1.02 8.46 .0098 1 1.02 9.09 .0099 2 1.02 8.68 .0100 1 1.02 8.58 .0101 2 1.02 8.48 .0102 1 1.02 8.52 .0103 2 1.02 8.69 .0104 1 1.02 9.18 .0105 1 1.02 9.30 .0106 3 1.02 8.97 .0107 2 1.02 9.06 .0108 3 1.02 9.60 .0109 3 1.02 8.88 .0110 1 1.02 8.74 .0111 2 1.02 9.14 .0112 1 1.02 9.02 .0113 1 1.02 8.91 .0114 1 1.02 9.36 .0115 1 1.02 9.80 .0116 1 1.02 9.40 .0117 3 1.02 9.31 .0118 2 1.02 9.67 .0119 2 1.02 10.09 .0120 3 1.02 9.99 .0121 2 1.02 10.31 .0122 2 1.02 10.36 .0123 4 1.02 9.54 .0124 2 1.02 10.07 .0125 2 1.02 9.55 .0126 3 1.02 9.67 .0127 3 1.02 10.12 .0128 1 1.01 9.57 .0129 2 1.01 9.35 .0130 1 1.01 9.38 .0131 1 1.01 9.95 .0132 1 1.01 9.73 .0133 1 1.01 10.08 .0134 2 1.01 9.69 .0135 1 1.01 9.81 .0136 2 1.01 9.24 .0137 1 1.01 9.35 .0138 1 1.01 9.70 .0139 2 1.01 9.02 .0140 1 1.01 9.03 .0141 1 1.01 9.38 .0142 2 1.01 9.04 .0143 2 1.01 9.13 .0144 2 1.01 9.01 .0145 1 1.01 8.88 .0146 1 1.01 9.13 .0147 1 1.01 9.09 .0148 1 1.01 9.07 .0149 1 1.01 9.04 .0150 1 1.01 9.33 .0151 1 1.01 9.37 .0152 2 1.01 9.25 .0153 1 1.01 9.03 .0154 1 1.01 9.00 .0155 1 1.01 8.99 .0156 1 1.01 9.26 .0157 2 1.01 9.08 .0158 2 1.01 9.53 .0159 2 1.01 8.75 .0160 1 1.01 9.30 .0161 4 1.01 8.84 .0162 3 1.01 9.45 .0163 4 1.01 9.28 .0164 2 1.01 8.89 .0165 1 1.01 8.94 .0166 1 1.01 9.18 .0167 1 1.01 9.34 .0168 1 1.01 9.02 .0169 1 1.01 9.43 .0170 1 1.01 9.30 .0171 2 1.01 9.07 .0172 2 1.01 8.90 .0173 3 1.01 9.27 .0174 2 1.01 8.90 .0175 2 1.01 10.03 .0176 2 1.01 10.14 .0177 2 1.01 8.91 .0178 1 1.01 9.25 .0179 1 1.01 8.90 .0180 3 1.01 8.74 .0181 1 1.01 8.97 .0182 1 1.01 8.84 .0183 2 1.01 9.29 .0184 2 1.01 9.11 .0185 1 1.01 9.23 .0186 1 1.01 8.68 .0187 2 1.01 8.81 .0188 2 1.01 8.79 .0189 2 1.01 9.50 .0190 4 1.01 10.29 .0191 2 1.00 9.56 .0192 2 1.00 8.75 .0193 2 1.00 9.65 .0194 2 1.00 9.00 .0195 2 1.00 8.99 .0196 2 1.00 8.98 .0197 2 1.00 9.64 .0198 2 1.00 8.70 .0199 1 1.00 9.06 .0200 1 1.00 9.00 .0201 1 1.00 9.05 .0202 1 1.00 8.92 .0203 1 1.00 9.07 .0204 2 1.00 9.24 .0205 2 1.00 9.35 .0206 2 1.00 9.28 .0207 1 1.00 10.37 .0208 2 1.00 9.90 .0209 1 1.00 9.51 .0210 1 1.00 9.33 .0211 1 1.00 9.44 .0212 1 1.00 9.60 .0213 2 1.00 9.82 .0214 2 1.00 11.20 .0215 3 1.00 11.36 .0216 1 1.00 9.99 .0217 1 1.00 10.08 .0218 1 1.00 9.91 .0219 3 1.00 10.59 .0220 2 1.00 10.90 .0221 1 1.00 10.59 .0222 2 1.00 10.43 .0223 2 1.00 10.18 .0224 2 1.00 10.32 .0225 2 1.00 10.55 .0226 2 1.00 10.71 .0227 2 1.00 10.68 .0228 2 1.00 10.95 .0229 1 1.00 10.91 .0230 2 1.00 11.17 .0231 1 1.00 11.02 .0232 1 1.00 11.38 .0233 1 1.00 11.79 .0234 2 1.00 11.52 .0235 1 1.00 11.63 .0236 1 1.00 11.64 .0237 1 1.00 11.37 .0238 3 1.00 12.07 .0239 2 1.00 12.08 .0240 2 1.00 12.28 .0241 3 1.00 12.51 .0242 2 1.00 12.26 .0243 1 1.00 12.44 .0244 1 1.00 12.41 .0245 2 1.00 12.51 .0246 1 1.00 12.12 .0247 1 1.00 12.73 .0248 1 1.00 12.91 .0249 2 1.00 12.72 .0250 1 1.00 12.92 .0251 2 1.00 13.02 .0252 1 1.00 12.87 .0253 1 1.00 13.42 .0254 2 1.00 13.38 .0255 1 1.00 13.72 .0256 1 1.00 13.52 .0257 1 1.00 13.85 .0258 1 1.00 14.01 .0259 2 1.00 13.57 .0260 1 1.00 14.66 .0261 2 0.99 13.70 .0262 2 0.99 13.86 .0263 1 0.99 13.79 .0264 1 0.99 13.83 .0265 3 0.99 13.96 .0266 1 0.99 14.19 .0267 2 0.99 14.63 .0268 1 0.99 14.10 .0269 2 0.99 14.46 .0270 1 0.99 14.11 .0271 1 0.99 15.13 .0272 1 0.99 13.86 .0273 1 0.99 13.74 .0274 3 0.99 13.66 .0275 5 0.99 15.76 .0276 2 0.99 14.18 .0277 1 0.99 15.14 .0278 1 0.99 13.99 .0279 1 0.99 13.95 .0280 1 0.99 14.23 .0281 1 0.99 15.09 .0282 1 0.99 14.04 .0283 1 0.99 14.62 .0284 1 0.99 14.04 .0285 1 0.99 14.08 .0286 1 0.99 13.96 .0287 1 0.99 13.56 .0288 2 0.99 13.81 .0289 1 0.99 13.35 .0290 1 0.99 13.28 .0291 1 0.99 13.03 .0292 1 0.99 13.02 .0293 1 0.99 13.02 .0294 1 0.99 12.75 .0295 1 0.99 13.05 .0296 2 0.99 12.73 .0297 1 0.99 12.67 .0298 2 0.99 12.59 .0299 2 0.99 12.23 .0300 1 0.99 12.45 .0301 1 0.99 12.30 .0302 1 0.99 12.19 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10.80 .1307 1 0.93 11.13 .1308 2 0.93 11.65 .1309 1 0.93 11.57 .1310 1 0.93 10.99 .1311 1 0.93 11.28 .1312 1 0.93 10.83 .1313 1 0.93 11.07 .1314 1 0.93 10.67 .1315 1 0.93 11.19 .1316 1 0.93 11.30 .1317 1 0.93 10.80 .1318 1 0.93 11.09 .1319 1 0.93 10.80 .1320 1 0.93 11.33 .1321 1 0.93 11.11 .1322 1 0.93 11.20 .1323 1 0.93 11.26 .1324 1 0.93 11.04 .1325 1 0.93 11.06 .1326 2 0.93 11.34 .1327 2 0.93 11.02 .1328 1 0.93 11.80 .1329 2 0.93 11.28 .1330 2 0.93 10.99 .1331 1 0.93 11.13 .1332 1 0.93 10.88 .1333 1 0.93 11.39 .1334 1 0.93 10.80 .1335 1 0.93 11.32 .1336 1 0.93 11.22 .1337 1 0.93 11.67 .1338 1 0.93 11.28 .1339 2 0.93 11.23 .1340 2 0.93 10.66 .1341 1 0.93 11.61 .1342 1 0.93 11.01 .1343 1 0.93 11.27 .1344 1 0.93 12.20 .1345 1 0.93 11.05 .1346 1 0.93 11.93 .1347 1 0.93 11.27 .1348 1 0.93 11.31 .1349 2 0.92 11.25 .1350 1 0.92 11.79 .1351 1 0.92 11.42 .1352 2 0.92 10.70 .1353 1 0.92 10.93 .1354 1 0.92 11.04 .1355 2 0.92 11.13 .1356 1 0.92 11.33 .1357 2 0.92 11.15 .1358 1 0.92 10.87 .1359 1 0.92 11.15 .1360 1 0.92 11.11 .1361 1 0.92 11.05 .1362 2 0.92 10.80 .1363 3 0.92 10.97 .1364 1 0.92 10.70 .1365 1 0.92 10.89 .1366 2 0.92 10.77 .1367 2 0.92 10.45 .1368 1 0.92 10.41 .1369 1 0.92 10.80 .1370 1 0.92 10.72 .1371 1 0.92 10.95 .1372 1 0.92 10.62 .1373 1 0.92 10.86 .1374 1 0.92 10.69 .1375 1 0.92 11.41 .1376 1 0.92 12.06 .1377 1 0.92 11.09 .1378 1 0.92 10.92 .1379 1 0.92 12.81 .1380 2 0.92 10.95 .1381 2 0.92 10.47 .1382 1 0.92 11.16 .1383 1 0.92 10.62 .1384 2 0.92 10.40 .1385 1 0.92 10.63 .1386 2 0.92 10.63 .1387 1 0.92 10.63 .1388 1 0.92 10.86 .1389 1 0.92 10.63 .1390 2 0.92 11.10 .1391 1 0.92 10.58 .1392 1 0.92 10.26 .1393 1 0.92 10.59 .1394 1 0.92 11.34 .1395 1 0.92 10.84 .1396 1 0.92 11.51 .1397 1 0.92 10.59 .1398 1 0.92 11.27 .1399 2 0.92 11.11 .1400 3 0.92 11.07 .1401 2 0.92 12.08 .1402 2 0.92 12.53 .1403 2 0.92 11.31 .1404 1 0.92 10.92 .1405 2 0.92 10.95 .1406 1 0.92 11.19 .1407 3 0.92 10.84 .1408 1 0.92 10.43 .1409 1 0.92 10.52 .1410 1 0.92 11.15 .1411 3 0.92 10.79 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10.55 .1465 2 0.92 10.58 .1466 1 0.92 10.40 .1467 2 0.92 10.36 .1468 1 0.92 10.38 .1469 1 0.92 10.25 .1470 1 0.92 10.73 .1471 2 0.92 10.45 .1472 1 0.92 9.96 .1473 1 0.92 10.00 .1474 1 0.92 10.73 .1475 2 0.92 10.44 .1476 2 0.92 9.94 .1477 2 0.92 10.10 .1478 2 0.92 10.22 .1479 2 0.92 10.00 .1480 2 0.92 10.27 .1481 2 0.92 10.29 .1482 2 0.92 10.15 .1483 4 0.92 10.40 .1484 2 0.92 10.96 .1485 1 0.92 10.09 .1486 2 0.92 10.38 .1487 1 0.92 10.21 .1488 1 0.92 10.84 .1489 1 0.92 10.50 .1490 1 0.92 10.60 .1491 1 0.92 10.67 .1492 1 0.92 10.63 .1493 2 0.92 10.69 .1494 1 0.92 10.54 .1495 1 0.92 10.40 .1496 1 0.92 10.19 .1497 2 0.92 10.09 .1498 2 0.92 10.70 .1499 1 0.92 10.58 .1500 1 0.92 9.78 .1501 1 0.92 10.40 .1502 2 0.92 10.37 .1503 1 0.92 9.91 .1504 1 0.92 10.96 .1505 1 0.92 10.62 .1506 2 0.92 9.97 .1507 2 0.92 11.06 .1508 1 0.92 10.21 .1509 1 0.92 10.34 .1510 2 0.92 11.03 .1511 1 0.92 10.00 .1512 1 0.92 10.38 .1513 1 0.92 10.54 .1514 1 0.92 10.63 .1515 2 0.92 10.48 .1516 2 0.92 11.27 .1517 3 0.92 10.33 .1518 2 0.92 12.48 .1519 2 0.92 10.77 .1520 2 0.92 10.60 .1521 2 0.92 10.58 .1522 1 0.92 10.89 .1523 1 0.92 10.51 .1524 2 0.92 10.38 .1525 1 0.92 11.28 .1526 3 0.92 10.30 .1527 2 0.92 10.35 .1528 2 0.92 10.74 .1529 2 0.92 10.50 .1530 3 0.92 11.64 .1531 2 0.92 11.30 .1532 4 0.92 10.44 .1533 2 0.92 9.90 .1534 2 0.92 10.36 .1535 2 0.92 10.07 .1536 2 0.92 10.48 .1537 2 0.92 10.02 .1538 1 0.92 10.03 .1539 1 0.92 10.28 .1540 1 0.92 9.86 .1541 1 0.92 9.41 .1542 1 0.92 10.02 .1543 1 0.92 9.97 .1544 3 0.92 10.23 .1545 2 0.92 10.64 .1546 1 0.92 9.85 .1547 1 0.92 9.83 .1548 1 0.92 9.93 .1549 1 0.92 10.10 .1550 1 0.92 10.71 .1551 1 0.92 10.25 .1552 2 0.92 10.08 .1553 2 0.92 9.89 .1554 1 0.92 11.27 .1555 1 0.92 9.65 .1556 1 0.92 9.75 .1557 2 0.92 10.33 .1558 2 0.92 10.40 .1559 1 0.92 11.15 .1560 2 0.92 10.30 .1561 2 0.92 10.79 .1562 2 0.92 10.31 .1563 2 0.92 10.69 .1564 1 0.92 10.00 .1565 2 0.92 11.36 .1566 1 0.92 10.33 .1567 2 0.92 10.31 .1568 1 0.92 10.16 .1569 1 0.92 10.57 .1570 2 0.92 10.05 .1571 1 0.92 10.71 .1572 1 0.92 10.74 .1573 1 0.92 10.91 .1574 2 0.92 10.39 .1575 2 0.92 10.54 .1576 2 0.92 11.41 .1577 2 0.92 10.37 .1578 2 0.92 10.93 .1579 2 0.92 11.13 .1580 2 0.92 11.10 .1581 2 0.92 10.31 .1582 2 0.92 10.29 .1583 2 0.92 10.58 .1584 2 0.92 10.45 .1585 1 0.92 10.76 .1586 1 0.92 10.22 .1587 1 0.92 10.11 .1588 2 0.92 10.66 .1589 2 0.92 10.61 .1590 2 0.92 10.72 .1591 2 0.92 10.72 .1592 1 0.92 10.61 .1593 1 0.92 10.49 .1594 1 0.92 9.97 .1595 1 0.92 11.41 .1596 1 0.92 10.10 .1597 1 0.92 10.47 .1598 2 0.92 10.55 .1599 2 0.92 10.60 .1600 1 0.92 11.57 .1601 1 0.92 10.50 .1602 2 0.92 10.13 .1603 1 0.92 10.55 .1604 3 0.92 10.67 .1605 1 0.92 10.32 .1606 2 0.92 10.34 .1607 3 0.92 10.80 .1608 1 0.92 10.49 .1609 1 0.92 10.62 .1610 3 0.92 10.83 .1611 2 0.92 11.16 .1612 2 0.92 11.32 .1613 2 0.92 10.86 .1614 2 0.92 11.00 .1615 2 0.92 10.86 .1616 2 0.92 10.88 .1617 1 0.92 11.50 .1618 2 0.92 10.28 .1619 1 0.92 10.97 .1620 2 0.92 11.08 .1621 2 0.92 10.36 .1622 1 0.92 10.61 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10.14 .1729 1 0.92 10.13 .1730 1 0.92 9.96 .1731 1 0.92 10.09 .1732 1 0.92 10.28 .1733 2 0.92 10.19 .1734 3 0.92 9.83 .1735 2 0.92 10.57 .1736 3 0.92 9.99 .1737 1 0.92 10.01 .1738 1 0.92 10.31 .1739 2 0.92 9.79 .1740 2 0.92 10.61 .1741 1 0.92 9.90 .1742 1 0.92 9.76 .1743 2 0.92 9.61 .1744 2 0.92 10.00 .1745 3 0.92 9.94 .1746 2 0.92 9.52 .1747 1 0.92 9.29 .1748 1 0.92 9.98 .1749 3 0.92 9.02 .1750 1 0.92 9.71 .1751 1 0.92 8.97 .1752 2 0.92 9.12 .1753 1 0.92 9.51 .1754 1 0.92 9.57 .1755 1 0.92 10.61 .1756 2 0.92 10.51 .1757 2 0.92 9.47 .1758 1 0.92 9.99 .1759 1 0.92 9.87 .1760 1 0.92 9.78 .1761 1 0.92 10.24 .1762 1 0.92 10.24 .1763 2 0.92 9.71 .1764 1 0.92 9.93 .1765 1 0.92 9.67 .1766 1 0.92 9.88 .1767 1 0.92 9.74 .1768 1 0.92 9.76 .1769 1 0.92 9.69 .1770 1 0.92 9.77 .1771 1 0.92 9.72 .1772 1 0.92 9.77 .1773 1 0.92 10.06 .1774 2 0.92 9.78 .1775 1 0.92 10.11 .1776 1 0.92 9.70 .1777 1 0.92 9.68 .1778 1 0.92 10.04 .1779 1 0.92 9.31 .1780 1 0.92 9.62 .1781 1 0.92 10.04 .1782 1 0.92 9.76 .1783 2 0.92 9.94 .1784 1 0.92 9.44 .1785 2 0.92 10.15 .1786 1 0.92 9.89 .1787 1 0.92 9.74 .1788 1 0.92 10.05 .1789 1 0.92 9.79 .1790 1 0.92 10.37 .1791 1 0.92 11.11 .1792 1 0.92 9.91 .1793 1 0.92 10.31 .1794 1 0.92 9.86 .1795 1 0.92 9.24 .1796 1 0.92 8.96 .1797 1 0.92 9.45 .1798 1 0.92 9.73 .1799 1 0.92 9.69 .1800 2 0.92 9.26 .1801 2 0.92 10.51 .1802 3 0.92 9.55 .1803 1 0.92 9.18 .1804 2 0.92 10.68 .1805 1 0.92 10.11 .1806 1 0.92 9.30 .1807 1 0.92 9.20 .1808 3 0.92 9.48 .1809 1 0.92 9.31 .1810 1 0.92 9.28 .1811 1 0.92 10.34 .1812 1 0.92 9.81 .1813 2 0.92 10.31 .1814 2 0.92 9.92 .1815 1 0.92 9.40 .1816 1 0.92 9.35 .1817 1 0.92 9.94 .1818 2 0.92 9.56 .1819 1 0.92 9.68 .1820 2 0.92 9.97 .1821 2 0.92 10.40 .1822 2 0.92 10.63 .1823 2 0.92 10.23 .1824 2 0.92 10.08 .1825 3 0.92 9.73 .1826 2 0.92 10.68 .1827 2 0.92 9.88 .1828 2 0.92 9.58 .1829 2 0.92 9.72 .1830 1 0.92 9.67 .1831 1 0.92 9.93 .1832 1 0.92 9.64 .1833 1 0.92 9.53 .1834 1 0.92 9.66 .1835 1 0.92 9.74 .1836 2 0.92 9.94 .1837 1 0.92 9.51 .1838 1 0.92 9.48 .1839 1 0.92 9.34 .1840 1 0.92 9.64 .1841 1 0.92 9.47 .1842 1 0.92 9.51 .1843 1 0.92 9.80 .1844 1 0.92 9.72 .1845 1 0.92 10.34 .1846 1 0.92 10.10 .1847 1 0.91 9.66 .1848 1 0.91 9.72 .1849 2 0.91 9.89 .1850 1 0.91 9.75 .1851 3 0.91 9.71 .1852 3 0.91 10.01 .1853 2 0.91 11.19 .1854 2 0.91 10.34 .1855 1 0.91 10.44 .1856 2 0.91 9.29 .1857 1 0.91 10.10 .1858 1 0.91 10.36 .1859 1 0.91 9.33 .1860 2 0.91 9.78 .1861 3 0.91 9.45 .1862 2 0.91 9.77 .1863 1 0.91 9.45 .1864 1 0.91 8.99 .1865 1 0.91 9.63 .1866 1 0.91 10.89 .1867 1 0.91 9.69 .1868 1 0.91 9.65 .1869 2 0.91 9.36 .1870 2 0.91 10.82 .1871 3 0.91 10.10 .1872 1 0.91 9.56 .1873 1 0.91 9.86 .1874 2 0.91 10.95 .1875 1 0.91 10.44 .1876 1 0.91 10.58 .1877 2 0.91 10.01 .1878 2 0.91 10.22 .1879 1 0.91 10.23 .1880 2 0.91 9.82 .1881 1 0.91 10.72 .1882 1 0.91 9.78 .1883 1 0.91 10.26 .1884 1 0.91 10.33 .1885 2 0.91 9.93 .1886 1 0.91 10.77 .1887 1 0.91 10.12 .1888 1 0.91 10.34 .1889 1 0.91 10.18 .1890 1 0.91 10.44 .1891 2 0.91 10.75 .1892 1 0.91 10.11 .1893 2 0.91 10.54 .1894 3 0.91 10.25 .1895 2 0.91 10.55 .1896 1 0.91 10.57 .1897 1 0.91 9.90 .1898 1 0.91 10.97 .1899 2 0.91 9.88 .1900 1 0.91 9.82 .1901 1 0.91 10.41 .1902 1 0.91 9.83 .1903 1 0.91 10.50 .1904 1 0.91 10.02 .1905 1 0.91 10.18 .1906 1 0.91 10.56 .1907 1 0.91 9.61 .1908 1 0.91 9.80 .1909 2 0.91 9.96 .1910 3 0.91 10.62 .1911 1 0.91 10.35 .1912 1 0.91 11.21 .1913 1 0.91 9.97 .1914 1 0.91 10.73 .1915 2 0.91 9.60 .1916 1 0.91 9.76 .1917 1 0.91 9.72 .1918 3 0.91 10.15 .1919 1 0.91 9.56 .1920 1 0.91 9.68 .1921 1 0.91 9.28 .1922 1 0.91 10.32 .1923 1 0.91 9.52 .1924 2 0.91 9.08 .1925 1 0.91 9.49 .1926 1 0.91 9.03 .1927 1 0.91 9.09 .1928 1 0.91 9.46 .1929 1 0.91 9.36 .1930 1 0.91 9.08 .1931 1 0.91 8.97 .1932 1 0.91 9.02 .1933 2 0.91 9.14 .1934 2 0.91 9.86 .1935 2 0.91 9.82 .1936 1 0.91 8.74 .1937 1 0.91 8.81 .1938 1 0.91 9.53 .1939 2 0.91 9.50 .1940 1 0.91 8.93 .1941 1 0.91 8.58 .1942 1 0.91 8.86 .1943 1 0.91 8.88 .1944 3 0.91 8.89 .1945 1 0.91 9.46 .1946 1 0.91 8.88 .1947 1 0.91 9.16 .1948 1 0.91 9.06 .1949 2 0.91 8.89 .1950 1 0.91 9.79 .1951 2 0.91 10.31 .1952 2 0.92 9.39 .1953 1 0.92 9.62 .1954 1 0.92 9.83 .1955 1 0.92 10.05 .1956 2 0.92 9.61 .1957 1 0.92 10.57 .1958 1 0.92 10.12 .1959 1 0.92 10.46 .1960 1 0.92 9.79 .1961 2 0.92 10.31 .1962 2 0.92 10.06 .1963 1 0.92 10.43 .1964 1 0.92 9.82 .1965 1 0.92 9.82 .1966 1 0.92 9.41 .1967 1 0.92 9.87 .1968 1 0.92 9.79 .1969 1 0.92 9.89 .1970 1 0.92 9.83 .1971 4 0.92 9.82 .1972 1 0.92 9.86 .1973 1 0.92 9.34 .1974 1 0.92 9.49 .1975 1 0.92 9.99 .1976 3 0.92 10.06 .1977 1 0.92 9.95 .1978 2 0.92 9.57 .1979 1 0.92 10.03 .1980 1 0.92 9.11 .1981 1 0.92 9.32 .1982 1 0.92 9.79 .1983 1 0.92 9.57 .1984 1 0.92 9.57 .1985 1 0.92 9.26 .1986 1 0.92 8.88 .1987 1 0.92 9.49 .1988 1 0.92 9.42 .1989 2 0.92 9.41 .1990 1 0.92 9.38 .1991 2 0.92 9.53 .1992 1 0.92 10.55 .1993 1 0.92 9.09 .1994 1 0.92 10.19 .1995 3 0.92 9.48 .1996 2 0.92 9.25 .1997 1 0.92 9.74 .1998 1 0.92 10.24 .1999 1 0.92 10.35 .2000 1 0.92 9.81 .2001 2 0.92 10.09 .2002 1 0.92 10.02 .2003 1 0.92 9.49 .2004 1 0.92 10.43 .2005 2 0.92 10.71 .2006 2 0.92 10.95 .2007 2 0.92 9.60 .2008 2 0.92 9.56 .2009 2 0.92 9.87 .2010 2 0.92 10.01 .2011 1 0.92 9.78 .2012 2 0.92 10.32 .2013 2 0.92 9.67 .2014 1 0.92 9.84 .2015 2 0.92 10.18 .2016 3 0.92 9.77 .2017 2 0.92 9.95 .2018 1 0.92 9.71 .2019 1 0.92 9.53 .2020 1 0.92 9.30 .2021 1 0.92 9.47 .2022 2 0.92 9.28 .2023 1 0.92 9.24 .2024 1 0.92 9.66 .2025 1 0.92 8.94 .2026 1 0.92 9.03 .2027 1 0.92 9.34 .2028 2 0.92 9.26 .2029 2 0.92 9.34 .2030 1 0.92 9.34 .2031 1 0.92 9.12 .2032 1 0.92 9.58 .2033 1 0.92 9.80 .2034 1 0.92 9.44 .2035 2 0.92 9.64 .2036 1 0.92 9.73 .2037 1 0.92 9.62 .2038 1 0.92 9.09 .2039 1 0.92 9.38 .2040 1 0.92 9.56 .2041 2 0.92 9.67 .2042 1 0.92 9.61 .2043 2 0.92 9.65 .2044 1 0.92 10.25 .2045 2 0.92 9.51 .2046 1 0.92 9.63 .2047 1 0.92 9.24 EXTRACT_IMAGE: sdR-r1-00034587.fit: masked 1091 pixels EXTRACT_OBJECT: sdR-r1-00034587.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034587.fit: WARNING: Scattered light median = 330.812 electrons QAPLOT_SCATLIGHT: sdR-r1-00034587.fit: WARNING: Scattered light max = 784.220 electrons EXTRACT_OBJECT: sdR-r1-00034587.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034587.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034587.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034587.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.17 Step 12 of 2112 0.58 96 0.03 0.16 Step 20 of 2112 0.58 96 0.03 0.17 Step 28 of 2112 0.58 96 0.03 0.19 Step 36 of 2112 0.58 96 0.02 0.17 Step 44 of 2112 0.58 96 0.02 0.16 Step 52 of 2112 0.59 96 0.02 0.16 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.16 Step 100 of 2112 0.59 96 0.02 0.16 Step 108 of 2112 0.59 96 0.02 0.16 Step 116 of 2112 0.60 96 0.03 0.17 Step 124 of 2112 0.60 96 0.04 0.19 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.14 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.60 96 0.02 0.14 Step 172 of 2112 0.60 96 0.02 0.14 Step 180 of 2112 0.60 96 0.02 0.17 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.15 Step 228 of 2112 0.61 96 0.03 0.17 Step 236 of 2112 0.61 96 0.02 0.17 Step 244 of 2112 0.61 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.16 Step 260 of 2112 0.62 96 0.01 0.15 Step 268 of 2112 0.62 96 0.01 0.16 Step 276 of 2112 0.62 96 0.02 0.19 Step 284 of 2112 0.62 96 0.02 0.17 Step 292 of 2112 0.62 96 0.02 0.16 Step 300 of 2112 0.62 96 0.02 0.18 Step 308 of 2112 0.62 96 0.02 0.17 Step 316 of 2112 0.63 96 0.02 0.16 Step 324 of 2112 0.63 96 0.02 0.17 Step 332 of 2112 0.63 96 0.02 0.17 Step 340 of 2112 0.63 96 0.02 0.18 Step 348 of 2112 0.63 96 0.02 0.17 Step 356 of 2112 0.63 96 0.02 0.16 Step 364 of 2112 0.63 96 0.02 0.18 Step 372 of 2112 0.63 96 0.02 0.16 Step 380 of 2112 0.64 96 0.01 0.14 Step 388 of 2112 0.64 96 0.02 0.16 Step 396 of 2112 0.64 96 0.02 0.16 Step 404 of 2112 0.64 96 0.02 0.17 Step 412 of 2112 0.64 96 0.03 0.16 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.02 0.14 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.03 0.17 Step 460 of 2112 0.65 96 0.03 0.16 Step 468 of 2112 0.65 96 0.03 0.15 Step 476 of 2112 0.65 96 0.02 0.16 Step 484 of 2112 0.65 128 0.03 0.23 Step 492 of 2112 0.65 128 0.04 0.25 Step 500 of 2112 0.65 128 0.03 0.23 Step 508 of 2112 0.66 128 0.02 0.19 Step 516 of 2112 0.66 128 0.03 0.21 Step 524 of 2112 0.66 128 0.03 0.23 Step 532 of 2112 0.66 128 0.04 0.23 Step 540 of 2112 0.66 128 0.04 0.23 Step 548 of 2112 0.66 128 0.04 0.22 Step 556 of 2112 0.66 128 0.02 0.19 Step 564 of 2112 0.66 128 0.03 0.21 Step 572 of 2112 0.67 128 0.03 0.26 Step 580 of 2112 0.67 128 0.03 0.23 Step 588 of 2112 0.67 128 0.03 0.24 Step 596 of 2112 0.67 128 0.02 0.21 Step 604 of 2112 0.67 128 0.03 0.22 Step 612 of 2112 0.67 128 0.03 0.22 Step 620 of 2112 0.67 128 0.03 0.22 Step 628 of 2112 0.67 128 0.03 0.23 Step 636 of 2112 0.68 128 0.02 0.18 Step 644 of 2112 0.68 128 0.02 0.20 Step 652 of 2112 0.68 128 0.02 0.22 Step 660 of 2112 0.68 128 0.02 0.19 Step 668 of 2112 0.68 128 0.02 0.24 Step 676 of 2112 0.68 128 0.03 0.22 Step 684 of 2112 0.68 128 0.03 0.23 Step 692 of 2112 0.69 128 0.02 0.20 Step 700 of 2112 0.69 128 0.02 0.22 Step 708 of 2112 0.69 128 0.02 0.23 Step 716 of 2112 0.69 128 0.03 0.24 Step 724 of 2112 0.69 128 0.03 0.24 Step 732 of 2112 0.69 128 0.04 0.22 Step 740 of 2112 0.69 128 0.04 0.23 Step 748 of 2112 0.69 128 0.04 0.22 Step 756 of 2112 0.70 128 0.02 0.21 Step 764 of 2112 0.70 128 0.02 0.21 Step 772 of 2112 0.70 128 0.03 0.22 Step 780 of 2112 0.70 128 0.02 0.24 Step 788 of 2112 0.70 128 0.03 0.24 Step 796 of 2112 0.70 128 0.03 0.25 Step 804 of 2112 0.70 128 0.03 0.21 Step 812 of 2112 0.70 128 0.02 0.22 Step 820 of 2112 0.71 128 0.02 0.24 Step 828 of 2112 0.71 128 0.03 0.23 Step 836 of 2112 0.71 128 0.03 0.23 Step 844 of 2112 0.71 128 0.03 0.22 Step 852 of 2112 0.71 128 0.05 0.23 Step 860 of 2112 0.71 128 0.03 0.23 Step 868 of 2112 0.71 128 0.02 0.21 Step 876 of 2112 0.72 128 0.02 0.21 Step 884 of 2112 0.72 128 0.02 0.23 Step 892 of 2112 0.72 128 0.02 0.22 Step 900 of 2112 0.72 128 0.03 0.21 Step 908 of 2112 0.72 128 0.02 0.23 Step 916 of 2112 0.72 128 0.02 0.22 Step 924 of 2112 0.72 128 0.02 0.22 Step 932 of 2112 0.72 128 0.02 0.23 Step 940 of 2112 0.73 128 0.04 0.24 Step 948 of 2112 0.73 128 0.02 0.21 Step 956 of 2112 0.73 128 0.02 0.23 Step 964 of 2112 0.73 128 0.02 0.22 Step 972 of 2112 0.73 128 0.02 0.20 Step 980 of 2112 0.73 160 0.03 0.34 Step 988 of 2112 0.73 160 0.03 0.33 Step 996 of 2112 0.74 160 0.03 0.36 Step 1004 of 2112 0.74 160 0.03 0.35 Step 1012 of 2112 0.74 160 0.03 0.35 Step 1020 of 2112 0.74 160 0.03 0.34 Step 1028 of 2112 0.74 160 0.03 0.35 Step 1036 of 2112 0.74 160 0.03 0.37 Step 1044 of 2112 0.74 160 0.04 0.33 Step 1052 of 2112 0.75 160 0.05 0.36 Step 1060 of 2112 0.75 160 0.04 0.34 Step 1068 of 2112 0.75 160 0.03 0.37 Step 1076 of 2112 0.75 160 0.03 0.35 Step 1084 of 2112 0.75 160 0.03 0.37 Step 1092 of 2112 0.75 160 0.03 0.34 Step 1100 of 2112 0.75 160 0.03 0.35 Step 1108 of 2112 0.75 160 0.03 0.37 Step 1116 of 2112 0.76 160 0.03 0.35 Step 1124 of 2112 0.76 160 0.03 0.33 Step 1132 of 2112 0.76 160 0.04 0.34 Step 1140 of 2112 0.76 160 0.04 0.36 Step 1148 of 2112 0.76 160 0.03 0.34 Step 1156 of 2112 0.76 160 0.03 0.35 Step 1164 of 2112 0.76 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.33 Step 1180 of 2112 0.77 160 0.03 0.34 Step 1188 of 2112 0.77 160 0.03 0.36 Step 1196 of 2112 0.77 160 0.03 0.34 Step 1204 of 2112 0.77 160 0.03 0.34 Step 1212 of 2112 0.77 160 0.03 0.34 Step 1220 of 2112 0.77 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.35 Step 1236 of 2112 0.78 160 0.03 0.37 Step 1244 of 2112 0.78 160 0.03 0.33 Step 1252 of 2112 0.78 160 0.03 0.35 Step 1260 of 2112 0.78 160 0.03 0.33 Step 1268 of 2112 0.78 160 0.03 0.34 Step 1276 of 2112 0.78 160 0.03 0.34 Step 1284 of 2112 0.78 160 0.03 0.33 Step 1292 of 2112 0.79 160 0.03 0.33 Step 1300 of 2112 0.79 160 0.03 0.34 Step 1308 of 2112 0.79 160 0.03 0.33 Step 1316 of 2112 0.79 160 0.04 0.34 Step 1324 of 2112 0.79 160 0.03 0.32 Step 1332 of 2112 0.79 160 0.03 0.33 Step 1340 of 2112 0.79 160 0.03 0.32 Step 1348 of 2112 0.80 160 0.03 0.32 Step 1356 of 2112 0.80 160 0.03 0.32 Step 1364 of 2112 0.80 192 0.03 0.37 Step 1372 of 2112 0.80 192 0.04 0.42 Step 1380 of 2112 0.80 192 0.04 0.40 Step 1388 of 2112 0.80 192 0.04 0.40 Step 1396 of 2112 0.80 192 0.04 0.37 Step 1404 of 2112 0.81 192 0.03 0.37 Step 1412 of 2112 0.81 192 0.04 0.37 Step 1420 of 2112 0.81 192 0.04 0.44 Step 1428 of 2112 0.81 192 0.04 0.39 Step 1436 of 2112 0.81 192 0.04 0.39 Step 1444 of 2112 0.81 192 0.04 0.39 Step 1452 of 2112 0.81 192 0.04 0.39 Step 1460 of 2112 0.82 192 0.04 0.38 Step 1468 of 2112 0.82 192 0.04 0.38 Step 1476 of 2112 0.82 192 0.03 0.38 Step 1484 of 2112 0.82 192 0.03 0.38 Step 1492 of 2112 0.82 192 0.04 0.41 Step 1500 of 2112 0.82 192 0.04 0.40 Step 1508 of 2112 0.82 192 0.04 0.45 Step 1516 of 2112 0.83 192 0.04 0.39 Step 1524 of 2112 0.83 192 0.04 0.38 Step 1532 of 2112 0.83 192 0.05 0.39 Step 1540 of 2112 0.83 192 0.04 0.38 Step 1548 of 2112 0.83 192 0.05 0.41 Step 1556 of 2112 0.83 192 0.06 0.40 Step 1564 of 2112 0.83 192 0.04 0.41 Step 1572 of 2112 0.84 192 0.05 0.38 Step 1580 of 2112 0.84 192 0.05 0.38 Step 1588 of 2112 0.84 192 0.05 0.38 Step 1596 of 2112 0.84 192 0.05 0.41 Step 1604 of 2112 0.84 192 0.05 0.40 Step 1612 of 2112 0.84 192 0.06 0.44 Step 1620 of 2112 0.84 192 0.04 0.39 Step 1628 of 2112 0.84 192 0.05 0.39 Step 1636 of 2112 0.85 192 0.05 0.44 Step 1644 of 2112 0.85 192 0.04 0.43 Step 1652 of 2112 0.85 192 0.05 0.43 Step 1660 of 2112 0.85 192 0.03 0.49 Step 1668 of 2112 0.85 192 0.02 0.45 Step 1676 of 2112 0.85 192 0.04 0.41 Step 1684 of 2112 0.85 192 0.02 0.42 Step 1692 of 2112 0.86 224 0.05 0.57 Step 1700 of 2112 0.86 224 0.03 0.54 Step 1708 of 2112 0.86 224 0.03 0.52 Step 1716 of 2112 0.86 224 0.03 0.56 Step 1724 of 2112 0.86 224 0.05 0.49 Step 1732 of 2112 0.86 224 0.05 0.47 Step 1740 of 2112 0.86 224 0.04 0.52 Step 1748 of 2112 0.87 224 0.05 0.49 Step 1756 of 2112 0.87 224 0.04 0.51 Step 1764 of 2112 0.87 224 0.04 0.47 Step 1772 of 2112 0.87 224 0.04 0.50 Step 1780 of 2112 0.87 224 0.04 0.50 Step 1788 of 2112 0.87 224 0.04 0.53 Step 1796 of 2112 0.87 224 0.04 0.47 Step 1804 of 2112 0.88 224 0.04 0.51 Step 1812 of 2112 0.88 224 0.05 0.51 Step 1820 of 2112 0.88 224 0.04 0.47 Step 1828 of 2112 0.88 224 0.04 0.49 Step 1836 of 2112 0.88 224 0.06 0.52 Step 1844 of 2112 0.88 224 0.04 0.49 Step 1852 of 2112 0.88 224 0.04 0.50 Step 1860 of 2112 0.89 224 0.04 0.49 Step 1868 of 2112 0.89 224 0.04 0.50 Step 1876 of 2112 0.89 224 0.04 0.50 Step 1884 of 2112 0.89 224 0.04 0.50 Step 1892 of 2112 0.89 224 0.04 0.50 Step 1900 of 2112 0.89 224 0.04 0.50 Step 1908 of 2112 0.89 224 0.04 0.49 Step 1916 of 2112 0.90 224 0.04 0.54 Step 1924 of 2112 0.90 224 0.04 0.54 Step 1932 of 2112 0.90 224 0.05 0.52 Step 1940 of 2112 0.90 224 0.05 0.54 Step 1948 of 2112 0.90 224 0.04 0.54 Step 1956 of 2112 0.90 224 0.04 0.52 Step 1964 of 2112 0.90 256 0.05 0.52 Step 1972 of 2112 0.91 256 0.05 0.52 Step 1980 of 2112 0.91 256 0.05 0.52 Step 1988 of 2112 0.91 256 0.05 0.52 Step 1996 of 2112 0.91 256 0.06 0.52 Step 2004 of 2112 0.91 256 0.05 0.51 Step 2012 of 2112 0.91 256 0.06 0.52 Step 2020 of 2112 0.91 256 0.05 0.54 Step 2028 of 2112 0.92 256 0.05 0.53 Step 2036 of 2112 0.92 256 0.05 0.53 Step 2044 of 2112 0.92 256 0.05 0.54 Step 2052 of 2112 0.92 256 0.05 0.52 Step 2060 of 2112 0.92 256 0.08 0.60 Step 2068 of 2112 0.92 256 0.05 0.55 Step 2076 of 2112 0.92 256 0.05 0.55 Step 2084 of 2112 0.93 256 0.05 0.53 Step 2092 of 2112 0.93 256 0.05 0.55 Step 2100 of 2112 0.93 256 0.06 0.54 Step 2108 of 2112 0.93 256 0.06 0.58 EXTRACT_OBJECT: sdR-r1-00034587.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 4 1.04 1.84 .0001 4 1.04 1.89 .0002 3 1.04 1.80 .0003 2 1.04 1.87 .0004 3 1.04 1.85 .0005 2 1.04 1.82 .0006 2 1.04 1.91 .0007 2 1.04 2.05 .0008 3 1.04 1.91 .0009 3 1.04 2.08 .0010 3 1.04 2.11 .0011 2 1.04 2.27 .0012 3 1.04 1.97 .0013 3 1.04 2.11 .0014 4 1.04 2.10 .0015 2 1.04 2.19 .0016 3 1.04 2.33 .0017 3 1.04 2.35 .0018 2 1.04 2.27 .0019 2 1.03 2.46 .0020 2 1.03 2.43 .0021 3 1.03 2.66 .0022 3 1.03 2.80 .0023 4 1.03 2.56 .0024 4 1.03 2.74 .0025 3 1.03 2.60 .0026 2 1.03 2.79 .0027 2 1.03 2.87 .0028 2 1.03 2.72 .0029 2 1.03 2.80 .0030 2 1.03 2.95 .0031 2 1.03 2.83 .0032 3 1.03 3.38 .0033 2 1.03 3.50 .0034 1 1.03 3.34 .0035 1 1.03 3.46 .0036 4 1.03 3.51 .0037 2 1.03 3.64 .0038 3 1.03 3.49 .0039 3 1.03 3.86 .0040 2 1.03 3.65 .0041 2 1.03 3.92 .0042 3 1.03 3.95 .0043 2 1.03 3.94 .0044 3 1.03 3.89 .0045 1 1.03 4.10 .0046 1 1.03 4.18 .0047 1 1.03 3.95 .0048 1 1.03 4.16 .0049 1 1.03 4.44 .0050 3 1.03 4.28 .0051 2 1.03 4.79 .0052 1 1.03 4.53 .0053 1 1.03 4.65 .0054 3 1.03 4.63 .0055 3 1.03 4.94 .0056 1 1.03 5.06 .0057 2 1.03 5.21 .0058 1 1.03 5.07 .0059 2 1.03 5.00 .0060 2 1.03 5.12 .0061 2 1.03 5.18 .0062 1 1.03 5.33 .0063 2 1.03 5.20 .0064 2 1.03 5.91 .0065 3 1.03 5.55 .0066 2 1.03 5.79 .0067 1 1.03 5.94 .0068 1 1.03 5.86 .0069 3 1.03 5.94 .0070 1 1.03 6.04 .0071 1 1.02 6.29 .0072 2 1.02 6.26 .0073 1 1.02 6.23 .0074 1 1.02 6.18 .0075 2 1.02 6.56 .0076 1 1.02 6.43 .0077 2 1.02 7.27 .0078 1 1.02 6.67 .0079 3 1.02 6.59 .0080 1 1.02 6.66 .0081 3 1.02 7.09 .0082 2 1.02 6.72 .0083 2 1.02 7.35 .0084 3 1.02 7.20 .0085 1 1.02 6.85 .0086 2 1.02 7.17 .0087 2 1.02 7.11 .0088 1 1.02 7.37 .0089 1 1.02 7.13 .0090 1 1.02 7.22 .0091 2 1.02 7.57 .0092 2 1.02 7.48 .0093 1 1.02 7.70 .0094 1 1.02 7.58 .0095 1 1.02 7.30 .0096 3 1.02 7.39 .0097 2 1.02 7.27 .0098 1 1.02 7.85 .0099 2 1.02 7.45 .0100 1 1.02 7.35 .0101 2 1.02 7.20 .0102 1 1.02 7.24 .0103 2 1.02 7.39 .0104 1 1.02 7.86 .0105 2 1.02 7.53 .0106 3 1.02 7.61 .0107 2 1.02 7.77 .0108 4 1.02 7.75 .0109 3 1.02 7.58 .0110 1 1.02 7.41 .0111 2 1.02 7.79 .0112 1 1.02 7.65 .0113 1 1.02 7.54 .0114 1 1.02 7.93 .0115 2 1.02 7.89 .0116 1 1.02 7.86 .0117 3 1.02 7.87 .0118 3 1.02 7.81 .0119 2 1.02 8.64 .0120 4 1.02 8.13 .0121 3 1.02 8.32 .0122 3 1.02 8.36 .0123 3 1.02 8.11 .0124 2 1.02 8.58 .0125 2 1.02 8.09 .0126 3 1.02 8.17 .0127 4 1.02 8.17 .0128 1 1.01 8.10 .0129 2 1.01 7.82 .0130 1 1.01 7.86 .0131 1 1.01 8.42 .0132 1 1.01 8.21 .0133 2 1.01 8.10 .0134 2 1.01 8.22 .0135 1 1.01 8.30 .0136 2 1.01 7.73 .0137 1 1.01 7.84 .0138 2 1.01 7.77 .0139 2 1.01 7.54 .0140 1 1.01 7.52 .0141 1 1.01 7.86 .0142 2 1.01 7.55 .0143 2 1.01 7.59 .0144 2 1.01 7.54 .0145 1 1.01 7.33 .0146 1 1.01 7.56 .0147 1 1.01 7.56 .0148 1 1.01 7.49 .0149 1 1.01 7.53 .0150 2 1.01 7.44 .0151 1 1.01 7.75 .0152 2 1.01 7.71 .0153 1 1.01 7.49 .0154 1 1.01 7.41 .0155 1 1.01 7.43 .0156 1 1.01 7.74 .0157 2 1.01 7.46 .0158 3 1.01 7.44 .0159 2 1.01 7.16 .0160 1 1.01 7.75 .0161 3 1.01 7.30 .0162 2 1.01 7.90 .0163 3 1.01 7.72 .0164 2 1.01 7.32 .0165 1 1.01 7.44 .0166 1 1.01 7.62 .0167 1 1.01 7.74 .0168 1 1.01 7.42 .0169 2 1.01 7.36 .0170 1 1.01 7.71 .0171 2 1.01 7.47 .0172 2 1.01 7.35 .0173 3 1.01 7.26 .0174 2 1.01 7.30 .0175 2 1.01 8.39 .0176 3 1.01 8.03 .0177 2 1.01 7.29 .0178 2 1.01 7.17 .0179 1 1.01 7.28 .0180 2 1.01 7.12 .0181 1 1.01 7.37 .0182 1 1.01 7.15 .0183 3 1.01 7.15 .0184 2 1.01 7.48 .0185 2 1.01 7.18 .0186 1 1.01 7.04 .0187 2 1.01 7.18 .0188 2 1.01 7.11 .0189 3 1.01 7.37 .0190 3 1.01 8.54 .0191 2 1.00 7.80 .0192 2 1.00 7.09 .0193 3 1.00 7.46 .0194 2 1.00 7.25 .0195 2 1.00 7.26 .0196 2 1.00 7.22 .0197 2 1.00 7.93 .0198 2 1.00 6.97 .0199 1 1.00 7.30 .0200 1 1.00 7.23 .0201 1 1.00 7.28 .0202 1 1.00 7.15 .0203 1 1.00 7.26 .0204 2 1.00 7.43 .0205 3 1.00 7.16 .0206 2 1.00 7.44 .0207 2 1.00 8.07 .0208 2 1.00 8.08 .0209 1 1.00 7.63 .0210 1 1.00 7.42 .0211 1 1.00 7.61 .0212 1 1.00 7.75 .0213 2 1.00 7.98 .0214 2 1.00 9.25 .0215 2 1.00 9.47 .0216 1 1.00 8.03 .0217 1 1.00 8.06 .0218 1 1.00 7.95 .0219 3 1.00 8.58 .0220 2 1.00 8.83 .0221 2 1.00 8.10 .0222 2 1.00 8.32 .0223 2 1.00 8.14 .0224 2 1.00 8.24 .0225 2 1.00 8.43 .0226 2 1.00 8.60 .0227 2 1.00 8.54 .0228 2 1.00 8.70 .0229 1 1.00 8.72 .0230 2 1.00 8.91 .0231 1 1.00 8.84 .0232 1 1.00 8.99 .0233 2 1.00 8.90 .0234 2 1.00 9.14 .0235 1 1.00 9.30 .0236 1 1.00 9.15 .0237 1 1.00 8.90 .0238 3 1.00 9.62 .0239 2 1.00 9.61 .0240 2 1.00 9.71 .0241 3 1.00 9.95 .0242 2 1.00 9.51 .0243 1 1.00 9.83 .0244 1 1.00 9.68 .0245 2 1.00 9.75 .0246 1 1.00 9.38 .0247 1 1.00 9.82 .0248 1 1.00 10.01 .0249 2 1.00 9.78 .0250 1 1.00 10.01 .0251 2 1.00 10.05 .0252 1 1.00 9.93 .0253 1 1.00 10.36 .0254 2 1.00 10.28 .0255 1 1.00 10.63 .0256 1 1.00 10.28 .0257 1 1.00 10.71 .0258 1 1.00 10.78 .0259 2 1.00 10.36 .0260 1 1.00 11.42 .0261 2 0.99 10.36 .0262 2 0.99 10.56 .0263 1 0.99 10.40 .0264 1 0.99 10.46 .0265 2 0.99 10.62 .0266 1 0.99 10.79 .0267 2 0.99 11.08 .0268 1 0.99 10.68 .0269 2 0.99 10.97 .0270 1 0.99 10.63 .0271 2 0.99 10.94 .0272 1 0.99 10.36 .0273 1 0.99 10.23 .0274 3 0.99 10.15 .0275 3 0.99 12.22 .0276 2 0.99 10.65 .0277 1 0.99 11.57 .0278 1 0.99 10.35 .0279 1 0.99 10.37 .0280 1 0.99 10.67 .0281 1 0.99 11.46 .0282 1 0.99 10.52 .0283 2 0.99 10.34 .0284 1 0.99 10.47 .0285 1 0.99 10.59 .0286 1 0.99 10.45 .0287 1 0.99 10.09 .0288 2 0.99 10.30 .0289 1 0.99 9.88 .0290 1 0.99 9.79 .0291 1 0.99 9.66 .0292 1 0.99 9.64 .0293 1 0.99 9.56 .0294 1 0.99 9.37 .0295 1 0.99 9.66 .0296 2 0.99 9.37 .0297 1 0.99 9.25 .0298 2 0.99 9.22 .0299 2 0.99 9.00 .0300 1 0.99 9.10 .0301 1 0.99 9.01 .0302 1 0.99 8.92 .0303 1 0.99 9.00 .0304 2 0.99 9.13 .0305 1 0.99 8.86 .0306 1 0.99 8.47 .0307 2 0.99 8.76 .0308 2 0.99 8.67 .0309 2 0.99 8.50 .0310 1 0.99 9.33 .0311 1 0.99 8.51 .0312 1 0.99 8.44 .0313 2 0.99 8.60 .0314 1 0.99 8.35 .0315 1 0.99 8.70 .0316 1 0.99 8.83 .0317 2 0.99 9.51 .0318 1 0.99 9.11 .0319 2 0.99 9.34 .0320 2 0.99 8.72 .0321 2 0.99 8.38 .0322 2 0.99 8.66 .0323 2 0.99 8.88 .0324 1 0.99 9.87 .0325 2 0.99 8.73 .0326 2 0.99 8.73 .0327 2 0.99 8.74 .0328 1 0.99 8.94 .0329 1 0.99 8.93 .0330 1 0.99 9.20 .0331 1 0.99 8.81 .0332 1 0.99 8.72 .0333 1 0.99 8.67 .0334 1 0.99 8.71 .0335 1 0.99 8.69 .0336 1 0.99 9.42 .0337 2 0.99 8.90 .0338 1 0.99 9.02 .0339 2 0.99 8.88 .0340 1 0.99 9.20 .0341 2 0.99 9.15 .0342 1 0.98 10.24 .0343 1 0.98 9.31 .0344 1 0.98 9.03 .0345 1 0.98 9.23 .0346 1 0.98 9.30 .0347 1 0.98 9.30 .0348 1 0.98 9.08 .0349 2 0.98 9.26 .0350 1 0.98 9.73 .0351 2 0.98 9.68 .0352 2 0.98 9.55 .0353 1 0.98 9.48 .0354 2 0.98 9.49 .0355 2 0.98 9.52 .0356 1 0.98 9.66 .0357 1 0.98 9.51 .0358 2 0.98 9.71 .0359 1 0.98 9.65 .0360 1 0.98 10.02 .0361 2 0.98 9.39 .0362 1 0.98 9.91 .0363 3 0.98 9.79 .0364 1 0.98 10.22 .0365 1 0.98 10.26 .0366 1 0.98 10.95 .0367 1 0.98 9.75 .0368 1 0.98 9.81 .0369 1 0.98 9.98 .0370 1 0.98 9.73 .0371 1 0.98 10.04 .0372 1 0.98 9.81 .0373 1 0.98 9.75 .0374 1 0.98 9.90 .0375 1 0.98 9.97 .0376 1 0.98 10.12 .0377 1 0.98 9.84 .0378 1 0.98 10.23 .0379 1 0.98 9.79 .0380 1 0.98 11.40 .0381 2 0.98 10.05 .0382 3 0.98 10.11 .0383 1 0.98 10.17 .0384 1 0.98 10.73 .0385 1 0.98 11.16 .0386 2 0.98 10.50 .0387 1 0.98 10.52 .0388 1 0.98 10.58 .0389 2 0.98 10.81 .0390 1 0.98 10.20 .0391 1 0.98 9.84 .0392 1 0.98 10.36 .0393 1 0.98 10.27 .0394 1 0.98 10.10 .0395 1 0.98 10.00 .0396 1 0.98 10.17 .0397 1 0.98 9.77 .0398 1 0.98 9.96 .0399 1 0.98 9.56 .0400 1 0.98 10.36 .0401 1 0.98 9.86 .0402 1 0.98 9.74 .0403 2 0.98 9.91 .0404 1 0.98 9.81 .0405 1 0.98 10.21 .0406 1 0.98 9.92 .0407 1 0.98 10.53 .0408 2 0.98 9.88 .0409 3 0.98 9.84 .0410 2 0.98 10.21 .0411 2 0.98 10.36 .0412 1 0.98 10.89 .0413 1 0.98 9.73 .0414 1 0.98 9.97 .0415 1 0.98 10.06 .0416 2 0.98 9.44 .0417 2 0.98 9.59 .0418 1 0.98 9.49 .0419 1 0.98 9.36 .0420 1 0.98 10.30 .0421 1 0.98 9.09 .0422 1 0.98 9.17 .0423 1 0.98 9.07 .0424 1 0.98 9.40 .0425 1 0.98 8.99 .0426 2 0.98 8.89 .0427 2 0.98 8.90 .0428 1 0.98 9.12 .0429 1 0.98 9.47 .0430 1 0.98 9.13 .0431 1 0.98 8.96 .0432 1 0.98 8.70 .0433 2 0.98 9.26 .0434 1 0.98 8.59 .0435 1 0.97 8.56 .0436 2 0.97 8.84 .0437 1 0.97 8.67 .0438 2 0.97 8.35 .0439 1 0.97 8.56 .0440 1 0.97 8.62 .0441 2 0.97 9.39 .0442 2 0.97 8.56 .0443 2 0.97 8.68 .0444 1 0.97 8.40 .0445 1 0.97 8.57 .0446 1 0.97 8.68 .0447 1 0.97 8.60 .0448 2 0.97 8.88 .0449 1 0.97 9.23 .0450 1 0.97 8.83 .0451 1 0.97 8.61 .0452 2 0.97 8.87 .0453 1 0.97 9.26 .0454 1 0.97 9.09 .0455 1 0.97 8.75 .0456 1 0.97 8.86 .0457 2 0.97 8.87 .0458 1 0.97 9.52 .0459 1 0.97 9.32 .0460 1 0.97 10.14 .0461 1 0.97 9.35 .0462 1 0.97 8.85 .0463 1 0.97 8.79 .0464 3 0.97 9.86 .0465 3 0.97 9.23 .0466 1 0.97 9.07 .0467 1 0.97 9.61 .0468 2 0.97 9.42 .0469 1 0.97 9.11 .0470 1 0.97 8.92 .0471 1 0.97 9.33 .0472 1 0.97 8.95 .0473 1 0.97 9.00 .0474 1 0.97 9.15 .0475 1 0.97 9.08 .0476 1 0.97 9.39 .0477 2 0.97 9.21 .0478 1 0.97 9.47 .0479 1 0.97 9.16 .0480 1 0.97 9.17 .0481 1 0.97 9.49 .0482 2 0.97 10.10 .0483 1 0.97 8.95 .0484 1 0.97 9.06 .0485 2 0.97 9.05 .0486 1 0.97 9.04 .0487 2 0.97 8.61 .0488 1 0.97 8.68 .0489 2 0.97 8.90 .0490 2 0.97 9.05 .0491 1 0.97 9.23 .0492 1 0.97 9.62 .0493 1 0.97 9.52 .0494 2 0.97 9.12 .0495 1 0.97 8.93 .0496 1 0.97 8.51 .0497 2 0.97 8.68 .0498 2 0.97 8.35 .0499 1 0.97 8.52 .0500 1 0.97 8.48 .0501 2 0.97 8.41 .0502 1 0.97 8.36 .0503 2 0.97 8.30 .0504 1 0.97 8.31 .0505 2 0.97 8.03 .0506 1 0.97 7.71 .0507 2 0.97 8.17 .0508 2 0.97 8.02 .0509 1 0.97 7.94 .0510 1 0.97 7.63 .0511 1 0.97 8.14 .0512 1 0.97 7.67 .0513 2 0.97 7.64 .0514 1 0.97 7.69 .0515 2 0.97 8.72 .0516 2 0.97 7.98 .0517 2 0.97 7.72 .0518 3 0.97 8.71 .0519 2 0.97 8.09 .0520 1 0.97 7.81 .0521 1 0.97 8.56 .0522 1 0.97 8.57 .0523 2 0.97 8.07 .0524 1 0.97 8.09 .0525 1 0.97 7.88 .0526 1 0.97 7.75 .0527 2 0.97 7.82 .0528 1 0.97 7.91 .0529 1 0.97 8.08 .0530 2 0.97 8.31 .0531 1 0.97 8.67 .0532 2 0.97 8.36 .0533 1 0.97 8.31 .0534 3 0.97 7.96 .0535 2 0.97 8.48 .0536 4 0.97 8.74 .0537 1 0.97 9.39 .0538 2 0.97 8.07 .0539 1 0.97 7.98 .0540 1 0.97 8.21 .0541 1 0.97 8.83 .0542 4 0.97 8.81 .0543 2 0.97 8.80 .0544 1 0.97 8.41 .0545 1 0.97 8.36 .0546 1 0.96 7.72 .0547 1 0.96 8.78 .0548 5 0.96 8.33 .0549 2 0.96 8.36 .0550 1 0.96 7.97 .0551 1 0.96 7.75 .0552 1 0.96 7.98 .0553 1 0.96 7.72 .0554 1 0.96 7.65 .0555 1 0.96 7.53 .0556 1 0.96 7.68 .0557 2 0.96 7.80 .0558 1 0.96 7.86 .0559 1 0.96 7.63 .0560 2 0.96 8.02 .0561 2 0.96 7.90 .0562 2 0.96 8.30 .0563 2 0.96 7.81 .0564 2 0.96 8.55 .0565 1 0.96 7.48 .0566 1 0.96 7.58 .0567 2 0.96 8.61 .0568 2 0.96 7.76 .0569 1 0.96 7.72 .0570 2 0.96 7.52 .0571 3 0.96 8.28 .0572 1 0.96 7.53 .0573 1 0.96 7.75 .0574 1 0.96 7.97 .0575 2 0.96 7.69 .0576 3 0.96 7.74 .0577 2 0.96 7.86 .0578 2 0.96 7.74 .0579 2 0.96 7.90 .0580 2 0.96 7.83 .0581 2 0.96 8.09 .0582 2 0.96 8.32 .0583 2 0.96 8.30 .0584 2 0.96 7.99 .0585 1 0.96 8.48 .0586 2 0.96 8.26 .0587 1 0.96 7.81 .0588 1 0.96 8.25 .0589 2 0.96 8.37 .0590 3 0.96 8.28 .0591 2 0.96 9.09 .0592 1 0.96 8.31 .0593 2 0.96 8.45 .0594 2 0.96 8.63 .0595 2 0.96 8.51 .0596 1 0.96 8.69 .0597 1 0.96 8.45 .0598 1 0.96 8.12 .0599 1 0.96 7.97 .0600 3 0.96 8.97 .0601 2 0.96 9.28 .0602 1 0.96 8.62 .0603 1 0.96 8.64 .0604 1 0.96 8.70 .0605 1 0.96 8.66 .0606 1 0.96 8.42 .0607 2 0.96 8.86 .0608 1 0.96 8.71 .0609 1 0.96 8.90 .0610 1 0.96 8.85 .0611 2 0.96 8.44 .0612 1 0.96 8.64 .0613 1 0.96 8.18 .0614 2 0.96 8.37 .0615 1 0.96 8.29 .0616 1 0.96 8.39 .0617 2 0.96 8.24 .0618 1 0.96 8.51 .0619 1 0.96 8.41 .0620 1 0.96 8.69 .0621 1 0.96 8.50 .0622 1 0.96 8.59 .0623 2 0.96 9.07 .0624 2 0.96 9.04 .0625 2 0.96 8.95 .0626 2 0.96 8.64 .0627 3 0.96 8.54 .0628 2 0.96 9.26 .0629 2 0.96 8.41 .0630 2 0.96 8.63 .0631 1 0.96 8.75 .0632 1 0.96 8.61 .0633 1 0.96 8.31 .0634 1 0.96 8.23 .0635 2 0.96 8.37 .0636 1 0.96 8.70 .0637 2 0.96 8.03 .0638 1 0.96 8.76 .0639 2 0.96 8.09 .0640 1 0.96 8.36 .0641 1 0.96 8.15 .0642 2 0.96 7.77 .0643 2 0.96 7.88 .0644 1 0.96 8.76 .0645 1 0.96 7.92 .0646 1 0.96 7.91 .0647 2 0.96 7.70 .0648 2 0.96 7.68 .0649 2 0.96 8.46 .0650 1 0.96 9.03 .0651 2 0.96 8.38 .0652 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1 0.92 3.61 .1985 1 0.92 3.39 .1986 1 0.92 3.25 .1987 1 0.92 3.57 .1988 1 0.92 3.61 .1989 2 0.92 3.50 .1990 1 0.92 3.55 .1991 2 0.92 3.54 .1992 2 0.92 3.74 .1993 1 0.92 3.32 .1994 3 0.92 3.62 .1995 3 0.92 3.70 .1996 2 0.92 3.47 .1997 1 0.92 3.65 .1998 2 0.92 3.87 .1999 2 0.92 3.78 .2000 1 0.92 3.83 .2001 2 0.92 4.18 .2002 1 0.92 4.01 .2003 1 0.92 3.60 .2004 2 0.92 4.09 .2005 3 0.92 4.05 .2006 3 0.92 3.93 .2007 2 0.92 3.73 .2008 2 0.92 3.68 .2009 2 0.92 3.90 .2010 3 0.92 3.86 .2011 1 0.92 3.74 .2012 2 0.92 3.86 .2013 2 0.92 3.74 .2014 1 0.92 3.90 .2015 2 0.92 3.86 .2016 2 0.92 3.77 .2017 2 0.92 4.12 .2018 1 0.92 3.86 .2019 1 0.92 3.77 .2020 1 0.92 3.65 .2021 1 0.92 3.66 .2022 2 0.92 3.62 .2023 1 0.92 3.61 .2024 2 0.92 3.64 .2025 1 0.92 3.35 .2026 1 0.92 3.44 .2027 1 0.92 3.62 .2028 2 0.92 3.49 .2029 2 0.92 3.68 .2030 1 0.92 3.65 .2031 1 0.92 3.59 .2032 1 0.92 3.91 .2033 2 0.92 3.67 .2034 1 0.92 3.71 .2035 2 0.92 3.76 .2036 1 0.92 3.94 .2037 1 0.92 3.72 .2038 1 0.92 3.50 .2039 1 0.92 3.73 .2040 1 0.92 3.82 .2041 2 0.92 3.97 .2042 1 0.92 3.85 .2043 2 0.92 3.73 .2044 2 0.92 4.03 .2045 2 0.92 3.76 .2046 1 0.92 3.83 .2047 1 0.92 3.67 EXTRACT_IMAGE: sdR-r1-00034587.fit: masked 1789 pixels EXTRACT_OBJECT: sdR-r1-00034587.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034587.fit: WARNING: Scattered light median = 98.7637 electrons QAPLOT_SCATLIGHT: sdR-r1-00034587.fit: WARNING: Scattered light max = 231.687 electrons EXTRACT_OBJECT: sdR-r1-00034587.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 3 1.04 2.63 .0001 3 1.04 2.40 .0002 3 1.04 2.13 .0003 2 1.04 2.11 .0004 3 1.04 2.06 .0005 2 1.04 1.92 .0006 2 1.04 1.89 .0007 3 1.04 2.01 .0008 2 1.04 1.97 .0009 4 1.04 2.01 .0010 3 1.04 2.06 .0011 3 1.04 2.05 .0012 3 1.04 2.11 .0013 2 1.04 2.20 .0014 4 1.04 2.27 .0015 2 1.04 2.36 .0016 5 1.04 2.52 .0017 2 1.04 2.55 .0018 3 1.04 2.50 .0019 2 1.03 2.81 .0020 3 1.03 2.78 .0021 3 1.03 3.04 .0022 3 1.03 3.19 .0023 4 1.03 3.08 .0024 4 1.03 3.21 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4.80 .1444 2 0.92 4.40 .1445 2 0.92 4.47 .1446 1 0.92 4.46 .1447 3 0.92 4.46 .1448 1 0.92 4.56 .1449 3 0.92 4.33 .1450 4 0.92 4.44 .1451 1 0.92 4.49 .1452 2 0.92 4.47 .1453 2 0.92 4.30 .1454 3 0.92 4.38 .1455 3 0.92 4.18 .1456 2 0.92 4.31 .1457 2 0.92 4.17 .1458 1 0.92 4.40 .1459 1 0.92 4.44 .1460 2 0.92 4.46 .1461 1 0.92 4.40 .1462 2 0.92 4.40 .1463 1 0.92 4.25 .1464 2 0.92 4.56 .1465 2 0.92 4.53 .1466 1 0.92 4.43 .1467 3 0.92 4.22 .1468 2 0.92 4.25 .1469 1 0.92 4.60 .1470 3 0.92 4.24 .1471 2 0.92 4.40 .1472 1 0.92 4.11 .1473 1 0.92 4.22 .1474 2 0.92 4.29 .1475 2 0.92 4.45 .1476 2 0.92 4.27 .1477 2 0.92 4.21 .1478 2 0.92 4.28 .1479 2 0.92 4.15 .1480 2 0.92 4.27 .1481 2 0.92 4.26 .1482 3 0.92 4.08 .1483 4 0.92 4.17 .1484 3 0.92 4.25 .1485 1 0.92 4.28 .1486 3 0.92 3.93 .1487 2 0.92 4.12 .1488 1 0.92 4.73 .1489 2 0.92 4.28 .1490 2 0.92 4.33 .1491 3 0.92 4.21 .1492 2 0.92 4.20 .1493 3 0.92 4.22 .1494 2 0.92 4.27 .1495 2 0.92 4.19 .1496 1 0.92 4.17 .1497 3 0.92 3.92 .1498 2 0.92 4.39 .1499 2 0.92 4.42 .1500 1 0.92 4.15 .1501 1 0.92 4.32 .1502 3 0.92 4.38 .1503 2 0.92 4.13 .1504 2 0.92 4.16 .1505 2 0.92 4.25 .1506 2 0.92 4.05 .1507 3 0.92 4.18 .1508 1 0.92 4.45 .1509 2 0.92 4.15 .1510 4 0.92 4.24 .1511 2 0.92 4.06 .1512 2 0.92 4.36 .1513 2 0.92 4.07 .1514 1 0.92 4.39 .1515 3 0.92 4.16 .1516 3 0.92 4.19 .1517 2 0.92 4.20 .1518 3 0.92 4.44 .1519 3 0.92 4.21 .1520 2 0.92 4.23 .1521 3 0.92 4.26 .1522 2 0.92 4.48 .1523 3 0.92 4.07 .1524 2 0.92 4.19 .1525 3 0.92 4.05 .1526 3 0.92 4.22 .1527 3 0.92 4.23 .1528 3 0.92 4.21 .1529 2 0.92 4.32 .1530 2 0.92 4.18 .1531 3 0.92 4.19 .1532 4 0.92 4.11 .1533 2 0.92 4.04 .1534 2 0.92 4.08 .1535 2 0.92 4.06 .1536 2 0.92 4.15 .1537 3 0.92 4.08 .1538 2 0.92 4.02 .1539 2 0.92 4.07 .1540 1 0.92 3.90 .1541 1 0.92 3.96 .1542 1 0.92 3.93 .1543 1 0.92 3.96 .1544 3 0.92 3.90 .1545 2 0.92 4.10 .1546 1 0.92 3.99 .1547 1 0.92 3.92 .1548 1 0.92 3.97 .1549 1 0.92 4.24 .1550 2 0.92 4.39 .1551 1 0.92 4.12 .1552 2 0.92 4.08 .1553 2 0.92 4.11 .1554 3 0.92 4.08 .1555 1 0.92 3.84 .1556 1 0.92 3.89 .1557 2 0.92 4.47 .1558 3 0.92 4.09 .1559 2 0.92 4.19 .1560 3 0.92 4.16 .1561 3 0.92 3.96 .1562 2 0.92 4.09 .1563 2 0.92 4.35 .1564 1 0.92 4.18 .1565 4 0.92 4.21 .1566 2 0.92 4.14 .1567 2 0.92 4.31 .1568 2 0.92 4.07 .1569 2 0.92 4.17 .1570 3 0.92 4.17 .1571 2 0.92 4.15 .1572 2 0.92 4.06 .1573 3 0.92 4.20 .1574 4 0.92 3.96 .1575 2 0.92 3.98 .1576 3 0.92 4.12 .1577 2 0.92 4.21 .1578 2 0.92 4.11 .1579 2 0.92 4.29 .1580 2 0.92 4.30 .1581 2 0.92 4.23 .1582 2 0.92 4.11 .1583 2 0.92 4.37 .1584 2 0.92 4.22 .1585 1 0.92 4.24 .1586 1 0.92 4.27 .1587 1 0.92 4.04 .1588 3 0.92 4.13 .1589 3 0.92 4.04 .1590 2 0.92 4.27 .1591 3 0.92 4.12 .1592 2 0.92 4.08 .1593 2 0.92 4.01 .1594 2 0.92 3.99 .1595 3 0.92 4.22 .1596 1 0.92 4.05 .1597 1 0.92 4.10 .1598 2 0.92 4.29 .1599 2 0.92 4.35 .1600 2 0.92 4.35 .1601 1 0.92 4.33 .1602 2 0.92 4.05 .1603 1 0.92 4.43 .1604 3 0.92 4.08 .1605 2 0.92 4.11 .1606 2 0.92 4.03 .1607 3 0.92 4.13 .1608 2 0.92 4.10 .1609 1 0.92 4.34 .1610 2 0.92 4.33 .1611 2 0.92 4.47 .1612 2 0.92 4.43 .1613 3 0.92 4.20 .1614 2 0.92 4.36 .1615 4 0.92 4.26 .1616 2 0.92 4.28 .1617 2 0.92 4.49 .1618 3 0.92 3.99 .1619 2 0.92 4.40 .1620 2 0.92 4.45 .1621 2 0.92 4.13 .1622 1 0.92 4.18 .1623 4 0.92 4.33 .1624 1 0.92 4.32 .1625 1 0.92 4.14 .1626 2 0.92 4.24 .1627 2 0.92 3.93 .1628 1 0.92 4.13 .1629 2 0.92 4.23 .1630 2 0.92 4.28 .1631 2 0.92 4.08 .1632 1 0.92 4.07 .1633 1 0.92 4.24 .1634 1 0.92 4.22 .1635 2 0.92 4.41 .1636 2 0.92 4.39 .1637 3 0.92 4.25 .1638 4 0.92 4.17 .1639 3 0.92 4.30 .1640 3 0.92 4.34 .1641 2 0.92 4.20 .1642 3 0.92 4.07 .1643 2 0.92 3.96 .1644 2 0.92 4.18 .1645 2 0.92 4.06 .1646 1 0.92 4.15 .1647 1 0.92 4.17 .1648 1 0.92 4.09 .1649 2 0.92 4.22 .1650 5 0.92 4.22 .1651 2 0.92 4.22 .1652 3 0.92 3.89 .1653 1 0.92 4.08 .1654 3 0.92 3.98 .1655 2 0.92 4.34 .1656 2 0.92 4.10 .1657 2 0.92 4.23 .1658 1 0.92 3.84 .1659 1 0.92 3.90 .1660 2 0.92 4.02 .1661 2 0.92 4.25 .1662 1 0.92 3.91 .1663 1 0.92 4.21 .1664 2 0.92 3.95 .1665 1 0.92 4.17 .1666 2 0.92 4.13 .1667 1 0.92 4.07 .1668 1 0.92 4.06 .1669 1 0.92 4.12 .1670 1 0.92 4.01 .1671 1 0.92 4.04 .1672 1 0.92 4.01 .1673 2 0.92 4.14 .1674 1 0.92 4.18 .1675 1 0.92 3.97 .1676 1 0.92 4.05 .1677 4 0.92 4.17 .1678 3 0.92 4.23 .1679 1 0.92 3.93 .1680 2 0.92 4.17 .1681 2 0.92 3.94 .1682 2 0.92 4.14 .1683 1 0.92 4.01 .1684 1 0.92 3.96 .1685 2 0.92 3.95 .1686 3 0.92 3.96 .1687 1 0.92 4.10 .1688 1 0.92 4.01 .1689 1 0.92 4.14 .1690 1 0.92 4.09 .1691 2 0.92 3.94 .1692 2 0.92 4.14 .1693 2 0.92 4.14 .1694 2 0.92 3.94 .1695 3 0.92 4.13 .1696 3 0.92 4.21 .1697 3 0.92 4.27 .1698 2 0.92 4.29 .1699 2 0.92 4.11 .1700 2 0.92 4.11 .1701 1 0.92 4.10 .1702 2 0.92 4.11 .1703 2 0.92 4.17 .1704 2 0.92 4.05 .1705 3 0.92 4.07 .1706 3 0.92 4.10 .1707 2 0.92 3.86 .1708 2 0.92 3.94 .1709 2 0.92 3.78 .1710 2 0.92 4.03 .1711 2 0.92 4.17 .1712 4 0.92 4.00 .1713 2 0.92 4.04 .1714 3 0.92 3.83 .1715 2 0.92 3.99 .1716 2 0.92 3.95 .1717 2 0.92 4.45 .1718 3 0.92 4.15 .1719 3 0.92 4.56 .1720 2 0.92 4.11 .1721 4 0.92 4.34 .1722 3 0.92 4.68 .1723 3 0.92 3.95 .1724 2 0.92 4.06 .1725 2 0.92 4.05 .1726 2 0.92 3.99 .1727 2 0.92 4.06 .1728 1 0.92 4.05 .1729 1 0.92 4.09 .1730 1 0.92 3.85 .1731 1 0.92 3.90 .1732 2 0.92 3.98 .1733 2 0.92 3.86 .1734 3 0.92 3.88 .1735 3 0.92 3.90 .1736 2 0.92 3.99 .1737 1 0.92 3.99 .1738 3 0.92 4.09 .1739 2 0.92 4.00 .1740 2 0.92 3.99 .1741 1 0.92 3.93 .1742 1 0.92 3.96 .1743 2 0.92 3.90 .1744 2 0.92 3.88 .1745 2 0.92 3.81 .1746 2 0.92 3.79 .1747 1 0.92 3.69 .1748 2 0.92 3.90 .1749 4 0.92 3.74 .1750 2 0.92 3.68 .1751 1 0.92 3.67 .1752 3 0.92 3.66 .1753 2 0.92 3.57 .1754 1 0.92 4.00 .1755 2 0.92 3.87 .1756 3 0.92 3.94 .1757 2 0.92 3.80 .1758 2 0.92 3.77 .1759 1 0.92 3.94 .1760 1 0.92 3.97 .1761 2 0.92 3.94 .1762 2 0.92 4.11 .1763 2 0.92 3.86 .1764 2 0.92 3.82 .1765 1 0.92 4.07 .1766 2 0.92 3.90 .1767 1 0.92 3.98 .1768 1 0.92 4.04 .1769 1 0.92 3.82 .1770 1 0.92 4.03 .1771 1 0.92 3.92 .1772 1 0.92 3.98 .1773 2 0.92 4.02 .1774 2 0.92 3.96 .1775 2 0.92 4.09 .1776 1 0.92 3.94 .1777 1 0.92 4.00 .1778 1 0.92 4.06 .1779 2 0.92 3.69 .1780 1 0.92 3.88 .1781 2 0.92 3.90 .1782 1 0.92 3.82 .1783 3 0.92 3.87 .1784 1 0.92 3.82 .1785 2 0.92 4.08 .1786 1 0.92 4.16 .1787 1 0.92 3.95 .1788 3 0.92 3.72 .1789 1 0.92 4.13 .1790 2 0.92 3.85 .1791 3 0.92 4.14 .1792 2 0.92 3.80 .1793 2 0.92 3.89 .1794 2 0.92 4.02 .1795 2 0.92 3.76 .1796 1 0.92 3.62 .1797 2 0.92 3.77 .1798 2 0.92 3.99 .1799 2 0.92 4.02 .1800 3 0.92 3.68 .1801 4 0.92 3.71 .1802 3 0.92 3.99 .1803 1 0.92 3.92 .1804 2 0.92 4.08 .1805 2 0.92 4.14 .1806 1 0.92 3.85 .1807 1 0.92 3.82 .1808 3 0.92 4.02 .1809 1 0.92 3.82 .1810 1 0.92 3.71 .1811 3 0.92 4.06 .1812 2 0.92 4.05 .1813 3 0.92 4.02 .1814 3 0.92 3.87 .1815 1 0.92 3.83 .1816 1 0.92 3.80 .1817 3 0.92 3.91 .1818 2 0.92 3.80 .1819 2 0.92 3.91 .1820 2 0.92 4.05 .1821 2 0.92 3.98 .1822 3 0.92 3.99 .1823 3 0.92 4.12 .1824 2 0.92 4.09 .1825 6 0.92 3.75 .1826 2 0.92 4.33 .1827 2 0.92 4.08 .1828 2 0.92 4.08 .1829 3 0.92 3.85 .1830 1 0.92 3.86 .1831 2 0.92 4.01 .1832 2 0.92 3.88 .1833 2 0.92 3.87 .1834 1 0.92 3.94 .1835 1 0.92 4.03 .1836 4 0.92 4.10 .1837 1 0.92 3.97 .1838 1 0.92 3.99 .1839 1 0.92 3.82 .1840 1 0.92 3.88 .1841 1 0.92 3.98 .1842 2 0.92 3.92 .1843 3 0.92 3.74 .1844 1 0.92 4.03 .1845 3 0.92 4.10 .1846 1 0.92 4.16 .1847 1 0.91 4.01 .1848 1 0.91 3.96 .1849 2 0.91 4.02 .1850 1 0.91 3.95 .1851 3 0.91 4.04 .1852 3 0.91 4.10 .1853 4 0.91 4.08 .1854 2 0.91 4.05 .1855 2 0.91 3.91 .1856 4 0.91 3.76 .1857 2 0.91 4.05 .1858 3 0.91 3.87 .1859 1 0.91 3.70 .1860 3 0.91 3.67 .1861 3 0.91 3.77 .1862 2 0.91 3.88 .1863 1 0.91 3.75 .1864 1 0.91 3.48 .1865 1 0.91 4.02 .1866 2 0.91 3.98 .1867 1 0.91 3.88 .1868 1 0.91 4.01 .1869 2 0.91 3.85 .1870 2 0.91 4.20 .1871 3 0.91 4.20 .1872 1 0.91 3.92 .1873 1 0.91 3.97 .1874 4 0.91 4.19 .1875 2 0.91 4.43 .1876 2 0.91 3.76 .1877 2 0.91 4.06 .1878 3 0.91 3.98 .1879 2 0.91 3.87 .1880 3 0.91 3.92 .1881 3 0.91 3.94 .1882 2 0.91 3.83 .1883 2 0.91 4.08 .1884 2 0.91 4.07 .1885 2 0.91 4.07 .1886 2 0.91 4.29 .1887 2 0.91 4.11 .1888 1 0.91 4.20 .1889 1 0.91 4.02 .1890 2 0.91 4.33 .1891 3 0.91 4.15 .1892 2 0.91 3.95 .1893 2 0.91 4.29 .1894 3 0.91 4.23 .1895 2 0.91 3.97 .1896 2 0.91 4.11 .1897 2 0.91 3.91 .1898 2 0.91 4.15 .1899 2 0.91 3.92 .1900 1 0.91 4.02 .1901 2 0.91 3.99 .1902 1 0.91 3.94 .1903 2 0.91 4.35 .1904 2 0.91 3.90 .1905 2 0.91 3.96 .1906 3 0.91 4.01 .1907 1 0.91 3.94 .1908 1 0.91 3.87 .1909 2 0.91 4.01 .1910 3 0.91 3.91 .1911 3 0.91 4.03 .1912 3 0.91 3.87 .1913 1 0.91 4.11 .1914 3 0.91 4.10 .1915 2 0.91 4.02 .1916 1 0.91 4.14 .1917 1 0.91 4.06 .1918 4 0.91 4.02 .1919 3 0.91 3.90 .1920 1 0.91 3.83 .1921 1 0.91 3.82 .1922 2 0.91 3.89 .1923 2 0.91 4.01 .1924 2 0.91 3.83 .1925 1 0.91 3.93 .1926 1 0.91 3.80 .1927 1 0.91 3.96 .1928 2 0.91 3.73 .1929 2 0.91 3.77 .1930 1 0.91 3.82 .1931 1 0.91 3.72 .1932 1 0.91 3.81 .1933 2 0.91 3.90 .1934 4 0.91 3.67 .1935 3 0.91 3.97 .1936 1 0.91 3.69 .1937 2 0.91 3.72 .1938 3 0.91 3.91 .1939 3 0.91 3.87 .1940 1 0.91 3.73 .1941 1 0.91 3.44 .1942 1 0.91 3.70 .1943 2 0.91 3.66 .1944 3 0.91 3.78 .1945 2 0.91 3.70 .1946 1 0.91 3.73 .1947 1 0.91 3.89 .1948 2 0.91 3.59 .1949 2 0.91 3.79 .1950 2 0.91 4.26 .1951 4 0.91 3.84 .1952 2 0.92 3.77 .1953 1 0.92 4.07 .1954 1 0.92 3.87 .1955 2 0.92 4.04 .1956 2 0.92 3.78 .1957 2 0.92 4.13 .1958 1 0.92 4.13 .1959 1 0.92 4.36 .1960 1 0.92 4.03 .1961 2 0.92 4.20 .1962 2 0.92 4.20 .1963 3 0.92 3.99 .1964 1 0.92 4.03 .1965 1 0.92 4.11 .1966 1 0.92 3.91 .1967 1 0.92 4.31 .1968 1 0.92 4.09 .1969 1 0.92 4.10 .1970 1 0.92 4.24 .1971 5 0.92 3.91 .1972 1 0.92 4.16 .1973 1 0.92 3.89 .1974 1 0.92 3.94 .1975 2 0.92 3.99 .1976 4 0.92 4.00 .1977 2 0.92 4.00 .1978 2 0.92 3.94 .1979 2 0.92 3.90 .1980 1 0.92 3.75 .1981 1 0.92 3.86 .1982 2 0.92 3.82 .1983 1 0.92 3.92 .1984 1 0.92 4.04 .1985 1 0.92 3.77 .1986 1 0.92 3.70 .1987 1 0.92 3.91 .1988 1 0.92 3.93 .1989 2 0.92 3.84 .1990 1 0.92 3.89 .1991 2 0.92 3.94 .1992 2 0.92 4.17 .1993 1 0.92 3.63 .1994 3 0.92 3.91 .1995 3 0.92 4.03 .1996 2 0.92 3.87 .1997 1 0.92 3.96 .1998 2 0.92 4.06 .1999 2 0.92 4.00 .2000 1 0.92 4.14 .2001 2 0.92 4.29 .2002 2 0.92 4.21 .2003 1 0.92 3.93 .2004 2 0.92 4.37 .2005 4 0.92 3.96 .2006 2 0.92 4.17 .2007 2 0.92 4.06 .2008 2 0.92 3.97 .2009 3 0.92 3.98 .2010 2 0.92 4.28 .2011 1 0.92 4.11 .2012 2 0.92 4.20 .2013 4 0.92 4.05 .2014 2 0.92 4.02 .2015 2 0.92 4.18 .2016 3 0.92 3.98 .2017 2 0.92 4.27 .2018 2 0.92 3.97 .2019 1 0.92 4.13 .2020 1 0.92 3.92 .2021 1 0.92 3.91 .2022 2 0.92 3.94 .2023 1 0.92 3.88 .2024 2 0.92 3.91 .2025 1 0.92 3.65 .2026 1 0.92 3.70 .2027 1 0.92 3.93 .2028 2 0.92 3.90 .2029 2 0.92 3.90 .2030 1 0.92 3.79 .2031 1 0.92 3.93 .2032 2 0.92 3.97 .2033 2 0.92 3.93 .2034 1 0.92 3.91 .2035 2 0.92 3.97 .2036 1 0.92 4.10 .2037 1 0.92 3.83 .2038 1 0.92 3.78 .2039 1 0.92 3.99 .2040 1 0.92 4.05 .2041 2 0.92 4.07 .2042 1 0.92 4.04 .2043 2 0.92 3.98 .2044 3 0.92 4.19 .2045 2 0.92 3.94 .2046 1 0.92 4.16 .2047 1 0.92 4.03 EXTRACT_IMAGE: sdR-r1-00034587.fit: masked 2311 pixels DIVIDEFLAT: sdR-r1-00034587.fit: Warning: Reject 234 low points in trace 45 DIVIDEFLAT: sdR-r1-00034587.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034587.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034587.fit: Warning: Reject 542 low points in trace 173 DIVIDEFLAT: sdR-r1-00034587.fit: Warning: Reject 671 low points in trace 174 DIVIDEFLAT: sdR-r1-00034587.fit: Warning: Reject 1075 low points in trace 249 DIVIDEFLAT: sdR-r1-00034587.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034587.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034587.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034587.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034587.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034587.fit: WARNING: sky shift reference line, sigma 7794.1200 0.079178062 LOCATESKYLINES_2: sdR-r1-00034587.fit: sky shift reference line, offset: 7794.1200 0.017603317 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 8 3.0761182 -57.431684 0.19336945 0.98002228 1508.3702 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 17 2.1540437 -294.41087 0.27091980 1.0023622 1493.0891 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 28 9.3077377 -277.08438 0.22458486 0.96887903 1510.4529 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 32 6.0769711 -323.23895 0.15229109 0.95642434 1540.0449 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 43 2.5315342 -133.76682 0.18744477 0.94023717 1487.7615 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 44 7.5909427 -170.40870 0.22497906 0.95187425 1646.4384 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 70 4.1345856 6.8947377 0.18765791 0.96885502 1495.6298 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 78 6.3375873 11.642929 0.17975712 1.0338359 1403.7809 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 89 2.5848926 22.008201 0.14283549 1.0253676 1459.0494 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 95 6.7567777 53.092272 0.12469000 0.99997624 1503.7432 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 101 6.5236992 85.598330 0.13832035 0.97020309 1548.3313 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 123 9.7058570 59.764468 0.18107934 0.94116566 1573.2569 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 124 6.2789763 47.908036 0.13592534 0.93741576 1635.1172 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 126 3.0326306 84.565162 0.084825165 1.0363709 1542.7622 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 134 3.5303843 92.548195 0.093583561 1.0399767 1506.9525 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 156 12.939549 119.88904 0.13166474 1.0526720 1463.1497 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 203 3.3908243 -30.931378 0.13276069 1.0442690 1572.9695 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 216 8.1950749 80.603833 0.11331099 0.97892904 1453.1959 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 218 7.7777972 12.322093 0.14800083 1.0037081 1526.6480 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 245 1.9635305 29.249759 0.094383258 0.99622051 1572.6996 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 255 5.5069202 -45.788018 0.13802156 0.99183899 1521.4160 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 262 9.8721280 -73.545641 0.075110530 1.0198944 1464.9987 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 267 5.2585579 -274.06141 0.16004716 1.1228769 1417.2005 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 273 5.0037517 -238.59142 0.11051285 0.97997017 1538.3050 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 283 4.3930964 -211.72494 0.12692472 0.98279168 1455.4446 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 289 5.0965407 -159.15846 0.078639466 1.0397237 1415.2425 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 311 4.6638890 -162.21591 0.19393226 1.0132757 1403.7022 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 314 1.9371223 -90.311522 0.14613373 1.0516472 1541.1013 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 0 317 3.9857227 -43.464324 0.16879658 1.0215454 1491.4720 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 0 3.7572430 0.00054018525 0.15029929 0.99728263 0.99829331 LOCATESKYLINES_2: sdR-r1-00034587.fit: sigma-clipped to 251 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034587.fit: comb2 l,chi^2/dof,fit: 0 2.9504952 -0.0029405450 0.15457738 0.99901608 0.99822257 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 251 of 261 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.1721810.1545770.005582 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 8 2.8942451 -42.582827 0.18672359 1.0610453 623.37495 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 17 2.6304305 -222.35139 0.29284659 0.94024541 620.73257 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 28 0.48292855 -238.80614 0.12617582 1.0422673 537.74472 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 32 3.0315708 -257.68162 0.21298929 0.94840231 571.11236 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 43 0.94088607 -127.18162 0.18664200 1.0098366 606.41415 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 44 1.8220388 -121.11245 0.33633038 0.96470795 613.25199 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 70 3.0554153 30.104095 0.036933922 0.96063437 681.78026 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 78 3.5380345 13.203402 0.030376659 0.96105524 623.70735 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 89 2.9976093 54.938521 0.12022538 0.95258936 695.15890 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 95 1.5405068 88.637941 0.13544347 0.92438673 583.80705 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 101 0.90032647 104.62415 0.14248123 1.0570184 643.34508 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 123 1.4427332 82.460348 0.19239988 1.0056859 604.54731 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 124 0.87550847 86.045089 0.10573811 0.89853013 650.09607 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 126 1.2721334 166.00750 0.20795856 1.0367789 553.87200 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 134 2.9270073 112.97919 -0.24630685 1.1791409 634.62255 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 156 0.90055615 186.49790 0.083456800 0.95774154 565.84399 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 203 0.32115323 36.546287 0.18727011 0.96497480 574.58053 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 216 2.6498229 96.475434 0.096129702 0.92765777 659.76019 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 218 2.0378693 32.467932 0.18098546 0.97073337 613.03371 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 245 2.8333217 63.082678 0.15548746 1.0127859 610.25955 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 255 0.81987876 8.4564469 0.097595220 0.94390594 635.61449 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 262 0.94774292 -12.557877 0.12173778 1.1372314 559.34896 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 267 3.5843561 -215.00508 0.13499766 1.0333937 550.98846 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 273 1.6283862 -226.98983 0.090201718 1.0564001 626.55136 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 283 1.7787189 -201.56577 0.13920078 1.0480202 634.56757 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 289 2.0073857 -149.34609 0.20371103 1.1131101 581.56077 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 311 1.1949888 -149.06477 0.22164491 0.99598630 589.19608 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 314 2.7397896 15.027376 0.12479512 0.88860140 578.85756 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 1 317 1.0182990 -25.040529 0.13459115 1.0878379 573.35139 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 1 1.5161543 0.0010987651 0.13479987 0.99869863 0.99251070 LOCATESKYLINES_2: sdR-r1-00034587.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034587.fit: comb2 l,chi^2/dof,fit: 1 1.3938459 0.00073069343 0.13867634 0.99400415 0.99471663 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.1562800.1386760.011990 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 8 3.1012417 -104.28930 -0.12011277 0.90577731 137.20211 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -388.25064 0.0000000 1.0000000 -194.27621 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 28 -0.25000000 -434.72632 0.0000000 1.0000000 -168.79779 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -383.01447 0.0000000 1.0000000 -219.68034 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 43 -0.25000000 -226.39084 0.0000000 1.0000000 -66.944321 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 44 -0.25000000 -266.53308 0.0000000 1.0000000 -45.497398 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 70 0.30744793 13.831831 0.10054261 0.75902810 108.50464 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 78 1.5794512 -37.640150 -0.071822536 1.1870575 108.62388 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 89 1.5731784 15.221690 -0.39421496 0.96392255 166.35748 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 95 1.7788672 -29.547163 -0.51716158 2.0000000 108.91063 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 101 0.41944796 78.101845 -0.27023237 1.0100450 166.59322 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 123 0.90854004 43.616648 -0.11077695 0.93253801 102.45515 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 124 2.0279407 -26.102003 -0.88549283 1.8958577 167.04870 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 126 4.1942120 83.470233 0.27734910 0.85480986 168.52885 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 134 1.5791851 42.571031 -0.83046618 2.0000000 128.28222 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 156 3.3145620 160.69061 0.46732266 1.0428905 100.90484 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 203 1.2189804 -53.758742 -1.0000000 2.0000000 154.06883 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 216 3.6675821 13.950902 -0.23829891 0.91761100 166.37381 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 218 2.5882106 -3.9011810 0.059136776 1.0138897 144.24177 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 245 1.3737557 41.427339 0.047878825 0.60000000 95.225391 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 255 0.85579992 -95.664109 -0.88040303 2.0000000 112.76609 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 262 0.87191690 -60.014840 0.29380900 0.60000000 156.75712 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 267 -0.25000000 -378.22830 0.0000000 1.0000000 -132.94159 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 273 -0.25000000 -309.58746 0.0000000 1.0000000 -125.03248 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 283 -0.25000000 -270.13184 0.0000000 1.0000000 -45.140991 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 289 8.0359155 -212.54801 -1.0000000 2.0000000 204.72407 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 311 -0.25000000 -228.81956 0.0000000 1.0000000 -46.078815 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 314 2.6568373 -48.844417 -0.13380200 0.72811051 169.06821 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 2 317 5.1007386 -51.300978 -1.0000000 2.0000000 171.72298 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 2 0.65784753 0.023391858 -0.14056045 1.0042523 0.94309736 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 108 of 108 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: -0.122957-0.1405600.069200 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 8 -0.25000000 -200.33372 0.0000000 1.0000000 -10.596600 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 17 -0.25000000 -400.35812 0.0000000 1.0000000 -163.26154 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 28 -0.25000000 -334.25565 0.0000000 1.0000000 -41.793385 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 32 -0.25000000 -410.33533 0.0000000 1.0000000 -137.43883 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 43 0.27667226 -193.39936 0.19566599 1.1055302 228.72249 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 44 1.0692194 -201.69196 0.14798822 0.92971855 253.42779 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 70 0.72682708 -7.4010774 0.10316902 1.0071829 244.59107 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 78 2.0471470 -43.241756 -0.23087671 0.80837732 205.89911 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 89 1.4695348 23.996202 0.51051007 0.79195400 179.02253 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 95 2.3067156 -48.133670 -0.046598412 1.0558157 284.34467 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 101 1.8566951 96.178633 0.22814460 0.93848597 239.05591 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 123 1.6722455 -16.362962 0.093477608 1.4266677 262.52563 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 124 2.2122323 -1.2660777 -0.074799618 1.0503552 253.55940 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 126 0.69342275 82.549534 0.29484361 0.80276548 217.45439 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 134 0.31823343 27.729198 0.16054600 1.1986884 221.81807 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 156 0.30384218 146.83408 0.061280865 1.0436492 227.73512 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 203 1.3896728 -51.008278 0.32877112 1.1584483 267.50234 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 216 2.1755212 53.300104 0.073303197 0.89437663 270.68497 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 218 0.29924824 8.7455233 -0.031951523 0.72285851 296.86606 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 245 0.99652839 7.8415797 0.23340462 1.0410470 160.71740 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 255 1.1325209 -40.079311 -0.014740882 0.94008372 190.34088 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 262 3.1651719 -108.23580 0.19683411 1.4690251 285.67086 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 267 -0.25000000 -274.43228 0.0000000 1.0000000 -34.640556 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 273 -0.25000000 -301.40411 0.0000000 1.0000000 -76.227150 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 283 0.75586036 -182.86605 0.24324375 0.79224468 196.81658 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 289 0.39637024 -201.84641 0.22426651 1.0489736 277.72129 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 311 0.61122050 -93.595236 0.16917079 1.2897873 218.98862 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 314 0.80134558 20.600694 0.29114846 1.2535212 261.69868 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 3 317 0.66129543 16.549849 0.46152074 1.0302024 185.68632 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 3 0.80897830 0.011824659 0.12913078 1.0251761 0.97055351 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 207 of 207 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.1467340.1291310.034243 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 8 0.24900456 -186.69750 0.36839997 1.3898730 268.69130 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 17 -0.25000000 -384.91022 0.0000000 1.0000000 -47.775173 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 28 -0.25000000 -332.47104 0.0000000 1.0000000 -53.507393 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 32 -0.25000000 -394.97421 0.0000000 1.0000000 -57.563446 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 43 0.33600076 -169.78218 0.35751013 0.93947150 294.07568 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 44 16.079870 -245.20182 1.0000000 2.0000000 425.46580 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 70 2.1431036 10.802514 0.0051268379 1.1687383 260.22828 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 78 0.26140639 -27.884016 0.075787033 1.0561325 228.79293 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 89 1.4576195 28.130608 -0.047137158 0.95405288 298.93181 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 95 1.2341873 27.761480 0.55131502 0.72733414 230.96754 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 101 2.1650517 79.797417 0.26752463 0.77924452 343.63890 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 123 0.68846762 30.982386 0.16283287 0.84287946 283.65615 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 124 0.33946772 34.269158 0.15732883 0.87364138 311.30413 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 126 2.3720235 75.983354 0.16194803 0.99670827 252.53043 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 134 2.3876142 41.379535 0.078561902 0.88867107 309.23187 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 156 2.0000328 177.98541 -0.0017373874 1.0076562 231.64245 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 203 0.81660316 15.365670 0.12938674 0.71671688 274.21630 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 216 0.84634600 57.494227 0.20612617 1.0744480 307.36035 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 218 0.81470558 35.919019 0.36062680 0.88392697 253.54906 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 245 0.15722894 -21.104635 0.19544525 1.2378808 246.14678 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 255 1.1440487 -31.571792 0.10671414 0.75812539 226.95814 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 262 0.53513998 -31.496197 0.29342518 1.3259980 183.28183 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 267 -0.25000000 -280.07214 0.0000000 1.0000000 -15.405884 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 273 1.4563048 -240.90196 0.035108247 0.92235978 285.61432 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 283 0.74760459 -148.28568 0.29669623 0.60000000 339.49267 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 289 1.6292676 -165.55891 0.20342828 0.96321004 331.17192 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 311 0.72813116 -60.916374 0.13818311 0.90294496 270.64388 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 314 1.6860085 72.649699 0.16657165 0.87337643 199.03936 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 4 317 1.2330691 15.058613 0.43521734 1.1434670 266.62706 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 4 0.78020213 0.0061960051 0.16925234 0.95115344 0.97515524 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 207 of 207 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.1868560.1692520.029563 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 8 0.94145264 -144.30163 0.27851115 1.0365611 371.98792 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 17 1.3164353 -230.89377 0.23955415 0.93783688 396.65619 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 28 2.0640781 -181.23214 0.28730728 1.0009972 404.99729 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 32 0.37699369 -223.75952 0.11984219 1.0131157 373.23719 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 43 0.74979106 -79.540149 0.26543549 1.2069264 359.16926 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 44 0.74396928 -89.516461 0.53942772 0.92205654 382.52328 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 70 1.3043219 40.432480 0.15154952 1.1009817 339.80599 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 78 3.6803801 1.5796921 0.078236857 0.82626453 472.26002 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 89 0.37781390 63.041317 0.18458630 0.85322555 431.07759 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 95 2.9772455 -26.457210 0.15500820 0.93469137 416.76583 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 101 0.39019269 125.01696 0.096762366 1.0634782 396.86555 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 123 0.35812746 115.74451 0.27951464 1.1272231 362.91910 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 124 3.8607700 -71.615010 0.44644880 1.5500757 550.13813 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 126 0.43508230 101.98359 0.17471076 1.0081299 501.02931 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 134 1.0644265 86.752993 0.28652303 1.2008380 322.92720 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 156 2.3155087 195.47041 0.36073309 1.0073621 328.81950 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 203 2.7589305 72.740459 0.14973986 1.0352558 335.88468 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 216 1.0354402 82.823640 0.067995174 1.0778043 334.27945 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 218 1.9137999 58.404363 0.46473316 1.0751100 337.00207 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 245 0.61289652 77.014168 0.13572166 0.93106869 362.31471 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 255 3.1774608 -0.89514026 0.40234014 0.75299994 375.54984 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 262 1.6383008 -63.223811 0.096754142 0.87356841 421.69718 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 267 0.72533684 -125.50651 0.091917865 0.99967668 259.30318 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 273 1.9831538 -200.27035 0.13323780 1.0103612 363.05697 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 283 1.4020533 -118.77085 0.21514623 1.1229865 368.37705 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 289 57.604101 -124.35244 -1.0000000 2.0000000 486.38238 LOCATESKYLINES_2: sdR-r1-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 311 0.95312368 -38.922054 0.28960284 0.88151052 474.12940 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 314 1.0851036 80.756283 0.017932383 0.85978325 390.32200 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 5 317 0.96598387 81.220326 0.21400751 0.89880991 415.92096 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 5 1.3322371 0.012561186 0.22115534 0.99139162 0.98084090 LOCATESKYLINES_2: sdR-r1-00034587.fit: sigma-clipped to 249 of 252 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034587.fit: comb2 l,chi^2/dof,fit: 5 1.1109301 0.0030208800 0.20775725 0.98659001 0.99322032 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 249 of 252 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.2253610.2077570.021336 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 8 5.4300749 -260.46772 0.11802855 0.99492209 784.15206 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 17 1.4236567 -355.29424 0.15998744 1.1767662 661.60839 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 28 2.5597942 -303.55098 0.15110181 1.0937179 573.49638 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 32 2.2724272 -396.53762 0.15361699 1.1644340 648.51303 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 43 0.42593122 -165.83533 0.22131505 1.0960163 676.41576 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 44 3.7826593 -157.72414 0.15003996 1.0945323 676.56000 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 70 0.73343193 -20.146455 0.13431124 0.96223543 715.27631 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 78 1.9474284 8.1117056 0.13517400 0.98999607 713.53034 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 89 0.15655544 43.730148 0.092626291 0.92838387 830.93578 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 95 0.66459148 -11.616367 0.16755468 0.76117849 818.77543 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 101 0.89179688 38.646243 0.10139783 1.0521478 692.99840 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 123 1.5323230 70.337097 0.11424454 1.0344656 751.04132 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 124 2.4965725 54.567111 0.082230936 0.89519009 875.87003 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 126 3.9894764 46.294587 0.23644978 1.0473843 791.99022 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 134 1.2084925 96.182082 0.078469272 0.84871470 787.94199 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 156 4.9066017 160.00037 0.15045582 0.87733781 776.07359 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 203 0.81395812 44.710128 0.10245357 1.0704460 672.03103 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 216 1.6017334 76.565280 0.17469770 0.90894222 681.43781 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 218 2.8054391 -16.538273 0.093479191 0.92936717 861.64620 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 245 2.2873489 29.744172 0.32763152 0.96606141 683.86756 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 255 0.92237859 -66.280228 0.15152120 1.0881793 745.43140 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 262 0.13832743 -53.336594 0.31952004 0.99245710 617.61622 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 267 1.3073215 -251.14963 0.11969842 0.88373090 748.57076 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 273 2.4955711 -233.17387 0.18034735 0.91745457 778.07961 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 283 0.89908349 -125.16418 0.21060008 0.96205917 740.90933 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 289 3.1782014 -158.76542 0.17685695 1.0251523 757.34738 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 311 2.0660846 -30.610821 0.24382584 0.96707676 732.77454 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 314 0.22409455 26.444468 0.051498339 0.89778433 685.43243 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 6 317 0.65542889 3.8434144 0.12240816 0.98138419 683.27464 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 6 1.4974248 0.0024441588 0.14806876 0.96686914 0.99474604 LOCATESKYLINES_2: sdR-r1-00034587.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034587.fit: comb2 l,chi^2/dof,fit: 6 1.3885211 0.0027861270 0.15492003 0.97688554 0.99083148 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.1725230.1549200.012503 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 8 2.2451302 -215.19228 0.21640734 0.93185517 858.23580 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 17 1.1934345 -374.14546 0.17356316 1.0721293 844.44856 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 28 2.3810374 -305.59884 0.19599663 1.0180194 858.53691 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 32 5.4761095 -443.07128 0.20550013 1.0627818 961.62286 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 43 0.47478580 -161.04913 0.11509539 0.91394617 862.70689 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 44 2.3299715 -85.066225 0.21722152 0.87993366 943.77890 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 70 1.3237633 -31.169210 0.10636979 0.99485544 872.61010 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 78 1.4478748 0.79483162 0.080576369 0.99804626 929.26957 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 89 0.92043818 67.317260 0.17532223 0.92604352 883.00448 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 95 3.1067324 -29.817605 0.078341371 1.0189923 866.27364 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 101 1.2255217 31.641630 0.16919335 0.98973863 936.13942 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 123 1.2852814 55.170434 0.095231869 0.96097993 926.02193 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 124 3.0477142 82.625774 0.15642894 0.74201880 1073.7097 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 126 1.0047478 76.875329 0.16428012 0.82671462 1015.7996 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 134 0.80978908 -58.039523 0.23571390 1.1224388 933.10352 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 156 1.4511599 198.23921 0.077492547 0.89585324 804.18320 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 203 3.1987784 -45.152192 0.10203017 0.93457222 970.08883 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 216 1.4632800 45.951599 0.11927758 0.87358653 913.36634 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 218 4.5278179 16.582850 0.19274704 0.88239202 946.92969 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 245 2.3106930 30.116728 0.094794896 0.89211051 990.46943 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 255 2.6167771 -79.771704 0.13718609 1.0291824 847.53137 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 262 1.2465381 -66.353045 0.22108640 0.89885525 888.34550 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 267 4.9342626 -316.16918 0.21450812 1.0142346 964.84173 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 273 1.9839738 -281.97303 0.22428105 0.97331904 858.09145 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 283 1.4363007 -138.09746 0.18301412 0.99093480 855.81288 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 289 1.0107414 -171.84336 0.14155547 0.97897791 930.69347 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 311 3.0489125 -102.92260 0.18191921 1.0513295 797.18348 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 314 0.63534215 1.3781093 0.16206107 1.0022278 858.64507 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 7 317 3.6993186 13.028722 0.13047629 1.0182586 855.93259 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 7 1.7566654 0.0017712407 0.14767279 0.95135079 0.99427317 LOCATESKYLINES_2: sdR-r1-00034587.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034587.fit: comb2 l,chi^2/dof,fit: 7 1.6334843 0.0013904977 0.15449374 0.95893827 0.99305236 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.1720970.1544940.010318 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 8 2.2634812 -279.88214 0.25683574 0.91819839 1154.4332 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 17 2.2331913 -275.95672 0.18219562 0.86081011 1239.8795 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 28 1.4248514 -356.53730 0.29078105 0.93793567 1155.9765 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 32 4.8021194 -374.59850 0.19936061 0.92787670 1217.2892 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 43 0.79897376 -187.62453 0.29890051 0.96514980 1077.2638 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 44 2.4555971 -156.63392 0.16699442 0.92944875 1040.8575 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 70 1.3284974 -49.091030 0.17277173 0.91147142 1144.4842 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 78 2.4636183 -101.91736 0.20651942 0.99228945 1206.8915 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 89 3.0507063 -18.623808 0.16010612 0.87680179 1234.1068 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 95 2.4605429 -88.087917 0.27512015 0.97698260 1193.2603 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 101 3.4102639 6.6019969 0.12744732 0.90237476 1133.5799 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 123 2.2357453 -1.8697343 0.27374079 0.87494778 1263.2013 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 124 1.1673000 25.601057 0.31228068 0.91567018 1166.3995 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 126 1.2378316 -15.363327 0.22234155 0.90971822 1301.2487 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 134 1.0953334 15.242418 0.24330585 0.92962678 1219.4240 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 156 3.3861945 56.539890 0.16820580 0.94529757 1168.1296 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 203 0.90873796 -38.693198 0.14145748 0.91197449 1268.6889 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 216 1.8425890 -106.28835 0.12406974 0.96131088 1250.5089 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 218 0.53571677 -52.274470 0.24391940 0.79963054 1124.6805 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 245 1.2936349 -67.695654 0.22869743 0.92819077 1246.2377 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 255 0.74528287 -79.742602 0.18132007 0.88663483 1145.2344 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 262 3.4383826 -219.91274 0.23618763 0.97039228 1212.9018 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 267 0.34884683 -352.17713 0.21582224 0.97105798 1254.1293 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 273 3.1619159 -366.77072 0.14625548 0.87203732 1283.2713 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 283 1.6918663 -212.29307 0.19802114 0.87792399 1201.8075 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 289 3.2227752 -182.77218 0.15091724 0.92241017 1116.4551 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 311 4.3798148 -250.29487 0.19838323 0.89909663 1252.6784 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 314 1.9514616 -101.42578 0.34050994 0.81965054 1179.8197 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 8 317 4.0751759 -84.086472 0.20272895 0.91830372 1235.6281 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 8 1.6428215 0.00054629998 0.20810167 0.91513269 0.99637645 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.2257050.2081020.007780 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 8 1.1988692 -271.46706 0.18818153 0.99334397 1160.4745 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 17 1.3230254 -267.55898 0.22236412 0.93709591 1264.1370 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 28 2.0574456 -317.33491 0.16909019 0.94026487 1226.2968 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 32 1.7452751 -311.29322 0.14549249 0.93413116 1223.1175 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 43 0.69522189 -230.20605 0.30506697 0.93511427 1241.2890 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 44 1.4027524 -149.12668 0.20635675 0.92449942 1264.5048 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 70 3.3471565 -33.581623 0.11290965 0.88511054 1285.4605 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 78 1.4330184 -56.744480 0.15356913 0.94200770 1236.7734 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 89 0.67839650 -37.136305 0.14170863 0.92997913 1327.7458 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 95 2.1015119 -75.866482 0.18287736 0.93304457 1375.2027 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 101 0.66943560 18.502798 0.20309687 0.94397804 1202.5991 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 123 0.60017928 41.837206 0.26746729 0.93806103 1190.5613 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 124 0.59227281 68.902285 0.24163988 0.85260296 1442.4780 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 126 2.1793870 92.052981 0.17516218 0.91128674 1235.1055 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 134 6.8585682 -92.630437 0.14806311 1.0510181 1313.5493 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 156 2.3832686 74.915345 0.12518322 0.93764883 1204.8563 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 203 0.70119353 -57.645950 0.23897835 0.89805599 1262.3556 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 216 1.0833069 -38.872561 0.19740579 0.96671493 1258.1632 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 218 2.0068278 -55.654290 0.19688476 0.92562204 1299.5599 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 245 4.4050956 -92.778262 0.13019470 0.95297077 1314.6185 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 255 1.5174370 -105.70460 0.19442082 0.95476619 1259.9417 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 262 0.68481432 -138.46654 0.38191680 0.85516918 1214.9836 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 267 1.1295544 -294.47194 0.19801534 0.91382631 1219.4124 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 273 1.7823227 -272.80440 0.16754307 0.92098868 1276.2676 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 283 1.7190437 -184.12152 0.092956527 0.85257746 1246.1144 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 9 289 0.68813504 -156.26649 0.10383312 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LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 101 2.9166707 -43.407228 0.25151504 0.97868924 1107.3000 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 123 4.5166249 -16.857789 0.23677193 0.88490382 1157.0635 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 124 0.27234154 -22.747387 0.29857370 0.87367248 1234.2940 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 126 3.6834484 -7.8593469 0.24131429 0.86402276 1185.0904 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 134 0.85327222 -38.678477 0.25173766 0.97366177 1163.1638 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 156 1.1361524 31.033785 0.20727569 0.91296857 1205.5845 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 203 1.2637988 -112.86349 0.21752563 0.95574658 1154.7067 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 216 1.8924892 -136.57173 0.13960875 0.90487173 1239.6550 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 218 0.14908783 -101.41502 0.18747863 0.89103550 1128.3926 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 245 1.5399801 -112.83416 0.20761599 0.93473035 1188.2478 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 255 1.1593328 -163.01765 0.25631759 0.90544283 1190.1532 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 262 1.1196515 -251.39859 0.31322629 0.85693770 1202.8703 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 267 0.68573986 -328.82339 0.28955484 0.88998344 1105.2558 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 273 0.73610959 -329.95729 0.31727390 0.81631792 1230.5868 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 283 0.55739883 -239.74159 0.16373931 0.99363025 1041.3911 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 289 1.4859096 -222.66364 0.23442021 0.99243498 1160.0133 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 311 0.61846484 -293.23928 0.29162096 0.91311733 1209.0317 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 314 0.59725380 -232.28159 0.15547919 1.0434599 1138.1980 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 10 317 0.64433966 -114.53753 0.18519515 1.0093631 1097.8269 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 10 1.2403863 0.00078621878 0.23729411 0.93037387 0.99629322 LOCATESKYLINES_2: sdR-r1-00034587.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034587.fit: comb2 l,chi^2/dof,fit: 10 1.1714445 0.00057478706 0.23412110 0.93417193 0.99537672 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.2517240.2341210.007811 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 8 2.5572540 -321.22942 0.29483162 0.96023342 1191.1754 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 17 2.1311138 -274.24930 0.32028414 0.83694104 1325.3421 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 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sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 123 0.78100193 -60.283397 0.20086987 0.90781130 1334.0596 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 124 2.4724336 -39.988884 0.26156967 0.83519531 1512.9427 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 126 1.3923984 -33.215186 0.26684033 0.93480392 1415.4901 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 134 1.8578760 -93.486664 0.19260647 0.92105574 1382.0500 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 156 1.0645996 28.330797 0.20368071 0.91782394 1271.1800 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 203 2.5335062 -91.174081 0.22315746 0.88913447 1174.5792 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 216 0.86453498 -164.29363 0.13429458 0.96012465 1341.3477 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 218 2.8787028 -152.42846 0.15512828 0.92768351 1247.1920 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 245 1.0758361 -132.69690 0.21670287 0.91650689 1324.0572 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 255 1.2828245 -182.55528 0.21847133 0.95878619 1277.8604 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 262 1.5220896 -259.59971 0.23873561 0.88720426 1279.1998 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 267 2.3379650 -346.80069 0.38305988 0.98484525 1278.2890 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 273 0.57108631 -303.30918 0.33502074 0.95092742 1140.5104 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 283 1.1033484 -231.53644 0.22210030 0.92499595 1315.5038 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 289 2.6230002 -244.31727 0.25897530 1.0088479 1326.3165 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 311 1.5357504 -258.06397 0.21349581 0.95928305 1161.0552 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 314 1.3346511 -230.48436 0.28457448 1.0198442 1183.1247 LOCATESKYLINES_2: sdR-r1-00034587.fit: l,f,chi^2/dof,c: 11 317 2.9672156 -121.15864 0.24131405 0.94310512 1206.1702 LOCATESKYLINES_2: sdR-r1-00034587.fit: comb1 l,chi^2/dof,fit: 11 1.4771084 0.00038695862 0.22365568 0.92121789 0.99645566 LOCATESKYLINES_2: sdR-r1-00034587.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034587.fit: offset, refoff, sigma: 0.2412590.2236560.007091 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 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std-dev is 0.058429396 pix FITMEANX: sdR-r1-00034587.fit: In skyline number 7 std-dev is 0.071011647 pix FITMEANX: sdR-r1-00034587.fit: In skyline number 8 std-dev is 0.066892374 pix FITMEANX: sdR-r1-00034587.fit: In skyline number 9 std-dev is 0.053709141 pix FITMEANX: sdR-r1-00034587.fit: In skyline number 10 std-dev is 0.057008170 pix FITMEANX: sdR-r1-00034587.fit: In skyline number 11 std-dev is 0.066161897 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 6300.3040 coadded std-dev is 0.00558204 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 6363.7760 coadded std-dev is 0.0119898 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 6553.6100 coadded std-dev is 0.0692001 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 6923.2100 coadded std-dev is 0.0342434 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 6949.0300 coadded std-dev is 0.0295628 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 7571.7500 coadded std-dev is 0.0213358 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 7794.1200 coadded std-dev is 0.0125031 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 7821.5100 coadded std-dev is 0.0103181 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 8399.1600 coadded std-dev is 0.00778011 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 8430.1700 coadded std-dev is 0.00758055 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 8885.8300 coadded std-dev is 0.00781143 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: In sky feature at 8919.6100 coadded std-dev is 0.00709096 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034587.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034587.fit: Median arc shift = 0.17002921 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: Dispersion in arc shift = 0.023254091 pix LOCATESKYLINES_2: sdR-r1-00034587.fit: Maximum sky-line shift is 0.26459317 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034587.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Number of sky fibers = 29 ROW NITER SIG(med) CHI^2 .0000 13 0.82 5.07 .0001 5 0.82 5.02 .0002 5 0.82 4.31 .0003 7 0.82 3.43 .0004 5 0.82 5.03 .0005 5 0.82 4.28 .0006 6 0.82 4.57 .0007 12 0.82 7.89 .0008 1 0.82 0.64 .0009 5 0.82 4.99 .0010 6 0.82 2.70 .0011 6 0.82 4.57 .0012 6 0.82 5.28 .0013 5 0.82 4.12 .0014 5 0.82 4.93 .0015 6 0.82 1.91 .0016 3 0.82 4.27 .0017 1 0.82 0.59 .0018 10 0.82 7.76 .0019 9 0.82 6.36 .0020 4 0.82 4.48 .0021 5 0.82 5.06 .0022 5 0.82 4.42 .0023 5 0.82 5.79 .0024 10 0.82 6.00 .0025 4 0.82 4.93 .0026 5 0.82 3.53 .0027 7 0.82 4.26 .0028 2 0.82 0.65 .0029 13 0.82 5.59 .0030 8 0.82 5.07 .0031 5 0.82 2.84 .0032 1 0.82 0.60 .0033 7 0.82 5.80 .0034 4 0.82 4.06 .0035 5 0.82 5.90 .0036 11 0.82 8.68 .0037 4 0.82 4.56 .0038 7 0.82 5.59 .0039 4 0.82 4.00 .0040 4 0.81 5.67 .0041 4 0.81 4.31 .0042 6 0.81 5.86 .0043 1 0.81 0.63 .0044 2 0.81 0.69 .0045 9 0.81 3.76 .0046 6 0.81 4.76 .0047 5 0.81 5.67 .0048 5 0.81 4.31 .0049 6 0.81 3.65 .0050 4 0.81 4.51 .0051 4 0.81 4.78 .0052 5 0.81 4.56 .0053 7 0.81 5.49 .0054 6 0.81 4.99 .0055 5 0.81 5.71 .0056 5 0.81 5.15 .0057 4 0.81 4.20 .0058 4 0.81 6.06 .0059 6 0.81 4.64 .0060 1 0.80 1.61 .0061 2 0.80 1.04 .0062 1 0.80 0.89 .0063 1 0.80 1.07 .0064 1 0.80 1.25 .0065 1 0.80 0.72 .0066 6 0.80 6.19 .0067 1 0.80 0.83 .0068 1 0.80 0.93 .0069 2 0.80 1.25 .0070 2 0.80 0.76 .0071 7 0.80 6.69 .0072 2 0.80 0.83 .0073 1 0.80 1.15 .0074 2 0.80 0.79 .0075 1 0.80 1.54 .0076 5 0.80 5.12 .0077 7 0.80 6.55 .0078 1 0.80 0.89 .0079 6 0.80 6.37 .0080 5 0.83 5.64 .0081 5 0.83 5.13 .0082 5 0.83 4.24 .0083 5 0.83 6.44 .0084 7 0.83 6.57 .0085 5 0.83 4.82 .0086 5 0.83 5.61 .0087 4 0.83 3.97 .0088 6 0.83 4.82 .0089 1 0.83 0.63 .0090 0 0.83 0.00 .0091 3 0.83 0.67 .0092 4 0.83 3.92 .0093 6 0.83 6.13 .0094 13 0.83 6.74 .0095 1 0.83 0.62 .0096 4 0.83 4.67 .0097 5 0.83 4.47 .0098 7 0.83 2.42 .0099 7 0.83 6.26 .0100 2 0.79 1.06 .0101 2 0.79 0.88 .0102 1 0.79 0.96 .0103 1 0.79 1.02 .0104 2 0.79 0.86 .0105 2 0.79 0.90 .0106 4 0.79 1.24 .0107 2 0.79 1.35 .0108 2 0.79 1.55 .0109 2 0.79 0.90 .0110 2 0.79 1.00 .0111 1 0.79 0.91 .0112 3 0.79 1.07 .0113 3 0.79 1.10 .0114 3 0.79 1.01 .0115 1 0.79 0.98 .0116 1 0.79 0.98 .0117 1 0.79 1.54 .0118 1 0.79 1.03 .0119 1 0.79 0.91 .0120 7 0.77 7.01 .0121 9 0.77 6.72 .0122 3 0.77 4.60 .0123 2 0.77 0.71 .0124 2 0.77 0.83 .0125 9 0.77 8.09 .0126 2 0.77 0.66 .0127 5 0.77 5.31 .0128 5 0.77 6.07 .0129 8 0.77 4.09 .0130 5 0.77 6.34 .0131 3 0.77 5.66 .0132 3 0.77 4.68 .0133 11 0.77 8.73 .0134 1 0.77 0.73 .0135 8 0.77 6.23 .0136 5 0.77 6.68 .0137 12 0.77 8.30 .0138 7 0.77 7.12 .0139 9 0.77 7.46 .0140 2 0.79 0.72 .0141 1 0.79 1.17 .0142 1 0.79 0.81 .0143 2 0.79 0.87 .0144 2 0.79 0.86 .0145 2 0.79 1.01 .0146 2 0.79 1.00 .0147 1 0.79 1.60 .0148 2 0.79 0.82 .0149 5 0.79 5.20 .0150 3 0.79 0.83 .0151 2 0.79 1.11 .0152 1 0.79 1.45 .0153 1 0.79 1.39 .0154 2 0.79 0.88 .0155 2 0.79 0.95 .0156 3 0.79 1.01 .0157 3 0.79 1.15 .0158 5 0.79 0.93 .0159 1 0.79 1.33 .0160 2 0.80 1.07 .0161 2 0.80 0.94 .0162 2 0.80 1.15 .0163 4 0.80 1.10 .0164 3 0.80 1.08 .0165 2 0.80 1.27 .0166 1 0.80 1.20 .0167 5 0.80 0.98 .0168 2 0.80 1.26 .0169 2 0.80 1.12 .0170 6 0.80 0.99 .0171 1 0.80 1.09 .0172 2 0.80 1.13 .0173 2 0.80 0.55 .0174 2 0.80 0.69 .0175 2 0.80 1.23 .0176 2 0.80 0.96 .0177 3 0.80 0.85 .0178 3 0.80 0.93 .0179 1 0.80 1.48 .0180 5 0.80 5.66 .0181 1 0.80 1.63 .0182 2 0.80 0.74 .0183 2 0.80 0.91 .0184 2 0.80 1.03 .0185 1 0.80 1.21 .0186 2 0.80 0.84 .0187 2 0.80 0.81 .0188 1 0.80 0.96 .0189 3 0.80 0.85 .0190 2 0.80 0.84 .0191 2 0.80 0.76 .0192 1 0.80 0.81 .0193 2 0.80 1.22 .0194 3 0.80 4.38 .0195 1 0.80 0.74 .0196 2 0.80 0.75 .0197 8 0.80 3.63 .0198 1 0.80 0.89 .0199 6 0.80 1.26 .0200 5 0.80 5.36 .0201 3 0.80 5.34 .0202 7 0.80 5.87 .0203 1 0.80 0.63 .0204 4 0.80 4.84 .0205 5 0.80 5.63 .0206 7 0.80 3.43 .0207 4 0.80 5.05 .0208 4 0.80 4.61 .0209 6 0.80 6.20 .0210 7 0.80 6.65 .0211 11 0.80 9.74 .0212 5 0.80 5.83 .0213 6 0.80 5.40 .0214 4 0.80 4.47 .0215 4 0.80 3.79 .0216 1 0.80 0.66 .0217 9 0.80 8.07 .0218 1 0.80 0.67 .0219 8 0.80 7.26 .0220 6 0.80 6.48 .0221 1 0.80 1.03 .0222 4 0.80 5.18 .0223 1 0.80 0.76 .0224 10 0.80 6.18 .0225 7 0.80 3.77 .0226 6 0.80 6.12 .0227 6 0.80 4.85 .0228 13 0.80 7.10 .0229 4 0.80 1.31 .0230 1 0.80 0.92 .0231 8 0.80 6.56 .0232 4 0.80 0.97 .0233 2 0.80 0.98 .0234 1 0.80 0.74 .0235 1 0.80 0.81 .0236 1 0.80 0.82 .0237 1 0.80 0.71 .0238 1 0.80 0.98 .0239 3 0.80 1.33 .0240 5 0.80 5.17 .0241 11 0.80 7.30 .0242 3 0.80 4.88 .0243 6 0.80 6.18 .0244 6 0.80 5.15 .0245 1 0.80 0.68 .0246 5 0.80 5.11 .0247 4 0.80 4.48 .0248 3 0.80 4.17 .0249 6 0.80 2.15 .0250 6 0.80 5.51 .0251 0 0.80 0.00 .0252 6 0.80 5.85 .0253 14 0.80 6.61 .0254 5 0.80 5.06 .0255 1 0.80 0.63 .0256 7 0.80 3.35 .0257 7 0.80 7.01 .0258 5 0.80 5.29 .0259 5 0.80 5.26 .0260 7 0.79 7.14 .0261 5 0.79 4.68 .0262 1 0.79 0.57 .0263 4 0.79 5.01 .0264 12 0.79 7.93 .0265 11 0.79 8.45 .0266 10 0.79 1.67 .0267 1 0.79 0.57 .0268 7 0.79 5.30 .0269 7 0.79 5.54 .0270 6 0.79 4.70 .0271 6 0.79 6.68 .0272 10 0.79 6.81 .0273 1 0.79 0.64 .0274 5 0.79 8.32 .0275 7 0.79 6.06 .0276 12 0.79 7.28 .0277 4 0.79 4.53 .0278 5 0.79 5.00 .0279 5 0.79 4.58 .0280 4 0.83 4.66 .0281 6 0.83 4.82 .0282 6 0.83 5.47 .0283 4 0.83 0.51 .0284 7 0.83 5.26 .0285 7 0.83 5.30 .0286 5 0.83 3.42 .0287 5 0.83 4.90 .0288 7 0.83 5.81 .0289 3 0.83 0.70 .0290 10 0.83 9.81 .0291 5 0.83 5.65 .0292 5 0.83 3.13 .0293 7 0.83 5.89 .0294 0 0.83 0.00 .0295 9 0.83 7.75 .0296 5 0.83 4.72 .0297 9 0.83 6.43 .0298 3 0.83 4.45 .0299 2 0.83 4.03 .0300 9 0.84 3.60 .0301 3 0.84 3.06 .0302 6 0.84 3.82 .0303 12 0.84 9.51 .0304 5 0.84 3.94 .0305 5 0.84 5.46 .0306 3 0.84 3.90 .0307 8 0.84 5.73 .0308 8 0.84 3.49 .0309 7 0.84 5.14 .0310 9 0.84 6.52 .0311 1 0.84 0.70 .0312 3 0.84 4.66 .0313 12 0.84 7.11 .0314 3 0.84 0.64 .0315 11 0.84 6.61 .0316 9 0.84 6.32 .0317 4 0.84 0.73 .0318 6 0.84 5.53 .0319 4 0.84 4.13 EXTRACT_IMAGE: sdR-r1-00034587.fit: masked 1176 pixels SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 0 median sigma(arc)= 0.87531925 sigma(sky)= -8032.6839 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 0 sigma^2(add)= 64524010. +/- 36493778. SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 1 median sigma(arc)= 0.86891002 sigma(sky)= 1.4905402 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 1 sigma^2(add)= 1.4689595 +/- 0.35041517 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 2 median sigma(arc)= 0.85104443 sigma(sky)= -1016.0985 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 2 sigma^2(add)= 22061.166 +/- 3490118.0 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 3 median sigma(arc)= 0.82247196 sigma(sky)= -2615.2024 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 3 sigma^2(add)= 6839283.0 +/- 4936984.1 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 4 median sigma(arc)= 0.82080915 sigma(sky)= 0.95593152 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 4 sigma^2(add)= 0.35181194 +/- 1.1956042 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 5 median sigma(arc)= 0.79558177 sigma(sky)= 0.98165263 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 5 sigma^2(add)= 0.33157227 +/- 0.59450331 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 6 median sigma(arc)= 0.79414120 sigma(sky)= 1.0760524 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 6 sigma^2(add)= 0.52722877 +/- 0.19404972 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 7 median sigma(arc)= 0.79426257 sigma(sky)= 1.2229729 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 7 sigma^2(add)= 0.86480999 +/- 0.31062429 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 8 median sigma(arc)= 0.81323362 sigma(sky)= 0.85641523 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 8 sigma^2(add)= 0.072094115 +/- 0.28586184 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 9 median sigma(arc)= 0.81518694 sigma(sky)= 0.82492106 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 9 sigma^2(add)= 0.018651576 +/- 0.34791645 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 10 median sigma(arc)= 0.85586712 sigma(sky)= 0.93468341 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 10 sigma^2(add)= 0.18098587 +/- 0.17961316 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 11 median sigma(arc)= 0.85981356 sigma(sky)= 1.0040743 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Line # 11 sigma^2(add)= 0.26888425 +/- 0.26199119 SKYLINE_DISPERSION: sdR-r1-00034587.fit: Flexure sigma^2(add) = 0.087103674 +/- 0.20794142 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034587.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034587.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034587.fit: Heliocentric correction = 23.567185 km/s FITVACSET: sdR-r1-00034587.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034587.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034587.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034587.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034587.fit: Number of pixels rejected: 4 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034587.fit: Number of sky fibers = 27 SKYSUBTRACT: sdR-r1-00034587.fit: Airmass range = 1.21378 1.25238 SKYSUBTRACT: sdR-r1-00034587.fit: Discarding 0.00486473 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 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highest x value, changing SKYSUBTRACT: sdR-r1-00034587.fit: Median sky-residual chi2 = 11.4824 SKYSUBTRACT: sdR-r1-00034587.fit: Max sky-residual chi2 = 44.2763 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 5888 to 7533 Ang; Peak chi= 6.65 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 7535 to 7719 Ang; Peak chi= 5.10 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 7775 to 7843 Ang; Peak chi= 4.08 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 7851 to 8289 Ang; Peak chi= 4.80 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 8292 to 8347 Ang; Peak chi= 4.10 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 8420 to 8643 Ang; Peak chi= 4.37 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 8671 to 8840 Ang; Peak chi= 3.87 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 8873 to 8917 Ang; Peak chi= 3.90 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 8931 to 9052 Ang; Peak chi= 3.92 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 9058 to 9193 Ang; Peak chi= 4.50 EXTRACT_OBJECT: sdR-r1-00034587.fit: Calling skysubtract again; masked skyfibers 17 28 32 273 SKYSUBTRACT: sdR-r1-00034587.fit: Number of sky fibers = 23 SKYSUBTRACT: sdR-r1-00034587.fit: Airmass range = 1.21378 1.25238 SKYSUBTRACT: sdR-r1-00034587.fit: Discarding 0.00554093 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 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Bin 1976 of 2046 Bin 1977 of 2046 Bin 1978 of 2046 Bin 1979 of 2046 Bin 1980 of 2046 Bin 1981 of 2046 Bin 1982 of 2046 Bin 1983 of 2046 Bin 1984 of 2046 Bin 1985 of 2046 Bin 1986 of 2046 Bin 1987 of 2046 Bin 1988 of 2046 Bin 1989 of 2046 Bin 1990 of 2046 Bin 1991 of 2046 Bin 1992 of 2046 Bin 1993 of 2046 Bin 1994 of 2046 Bin 1995 of 2046 Bin 1996 of 2046 Bin 1997 of 2046 Bin 1998 of 2046 Bin 1999 of 2046 Bin 2000 of 2046 Bin 2001 of 2046 Bin 2002 of 2046 Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034587.fit: Median sky-residual chi2 = 7.49905 SKYSUBTRACT: sdR-r1-00034587.fit: Max sky-residual chi2 = 37.8570 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 6096 to 6921 Ang; Peak chi= 6.15 REDMONSTER: sdR-r1-00034587.fit: WARNING: Bad sky residuals at 9095 to 9191 Ang; Peak chi= 3.84 QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 9 = -154.962 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 44 = -137.346 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 45 = -129.206 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 71 = 17.9381 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 90 = 40.6038 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 96 = 17.2132 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 102 = 83.6546 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 124 = 61.7818 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 125 = 73.3810 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 127 = 106.214 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 135 = 82.5274 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 157 = 145.543 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 246 = 26.3748 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 256 = -32.1958 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 263 = -68.6291 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 284 = -154.549 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 290 = -125.466 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 312 = -126.247 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 315 = -28.7927 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Median sky-residual chi = 2.77659 QAPLOT_SKYSUB: sdR-r1-00034587.fit: Max sky-residual chi = 6.74675 at 6566.0219 Ang QAPLOT_SKYSUB: sdR-r1-00034587.fit: WARNING: Max sky-residual chi = 6.74675 at 6566.0219 Ang SKYSUBTRACT: sdR-r1-00034587.fit: Number of sky fibers = 23 SKYSUBTRACT: sdR-r1-00034587.fit: Airmass range = 1.21378 1.25238 SKYSUBTRACT: sdR-r1-00034587.fit: Discarding 0.00554093 (fractional) of the sky pixels as bad highest 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Bin 2002 of 2046 Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034587.fit: Median sky-residual chi2 = 4.57614 SKYSUBTRACT: sdR-r1-00034587.fit: Max sky-residual chi2 = 19.5249 QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 44 = -71.6571 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 45 = -67.8442 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 71 = 26.8470 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 90 = 17.8212 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 96 = -12.1627 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 102 = 47.5570 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 127 = 38.6816 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 135 = 11.6688 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 157 = 68.2297 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 204 = -71.0873 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 219 = -51.1052 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 256 = -42.2366 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 263 = -64.6232 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 284 = -117.599 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 290 = -77.2562 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 315 = 89.5781 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Warning: Median sky-sub flux in sky fiber 318 = 123.702 electrons QAPLOT_SKYSUB: sdR-r1-00034587.fit: Median sky-residual chi = 2.16298 QAPLOT_SKYSUB: sdR-r1-00034587.fit: Max sky-residual chi = 5.21753 at 6566.0219 Ang QAPLOT_SKYSUB: sdR-r1-00034587.fit: WARNING: Max sky-residual chi = 5.21753 at 6566.0219 Ang QAPLOT_SKYLINE: sdR-r1-00034587.fit: Airmass range = 1.21 1.25 QAPLOT_SKYLINE: sdR-r1-00034587.fit: Flux dispersion for skyline 7343.0 = 3.10 % % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r1-00034587.fit: Airmass range = 1.21 1.25 QAPLOT_SKYLINE: sdR-r1-00034587.fit: Flux dispersion for skyline 8888.3 = 1.71 % SPADD_GUIDERINFO: sdR-r1-00034587.fit: Number of guider frames = 32 SPREDUCE: sdR-r1-00034587.fit: Elapsed time = 214. seconds SPREDUCE: sdR-r1-00034588.fit: Reading object sdR-r1-00034588.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034588.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034588.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034588.fit: Measured read-noise in DN for amp# 2 = 3.82628 SDSSPROC: sdR-r1-00034588.fit: Measured bias value in DN for amp# 2 = 1192.55 SDSSPROC: sdR-r1-00034588.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034588.fit: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: sdR-r1-00034588.fit: Measured read-noise in DN for amp# 3 = 3.69624 SDSSPROC: sdR-r1-00034588.fit: Measured bias value in DN for amp# 3 = 1241.29 SDSSPROC: sdR-r1-00034588.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034588.fit: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 SDSSPROC: sdR-r1-00034588.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034588.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034588.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034588.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034588.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034588.fit: Science 25-th-percentile = 643.485 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034588.fit: Whopping fibers: 7 18 24 36 38 42 47 53 55 58 66 71 77 79 83 86 93 99 121 125 127 130 133 135 149 202 205 210 217 219 224 226 228 241 243 250 253 260 264 270 276 278 282 284 291 293 295 297 303 307 310 313 315 EXTRACT_OBJECT: sdR-r1-00034588.fit: Median counts in all fibers = 21198.4 EXTRACT_OBJECT: sdR-r1-00034588.fit: Number of bright fibers = 53 EXTRACT_OBJECT: sdR-r1-00034588.fit: Sky fiber median 2298.52 EXTRACT_OBJECT: sdR-r1-00034588.fit: 5% and 95% count levels 1163.68 42065.1 EXTRACT_OBJECT: sdR-r1-00034588.fit: WARNING: Disable whopping terms sdR-r1-00034588.fit MATCH_TRACE: sdR-r1-00034588.fit: Iteration: 0 Pixels Rejected: 22460 Finished? 0 MATCH_TRACE: sdR-r1-00034588.fit: Iteration: 1 Pixels Rejected: 480 Finished? 0 MATCH_TRACE: sdR-r1-00034588.fit: Iteration: 2 Pixels Rejected: 66 Finished? 0 MATCH_TRACE: sdR-r1-00034588.fit: Iteration: 3 Pixels Rejected: 8 Finished? 0 MATCH_TRACE: sdR-r1-00034588.fit: Iteration: 4 Pixels Rejected: 3 Finished? 0 MATCH_TRACE: sdR-r1-00034588.fit: Iteration: 5 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-r1-00034588.fit: Warning: Large number of pixels rejected! 23017 EXTRACT_OBJECT: sdR-r1-00034588.fit: Shifting traces by match_trace 0.0817871 EXTRACT_OBJECT: sdR-r1-00034588.fit: Extracting frame sdR-r1-00034588.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034588.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 2 1.04 1.89 .0001 2 1.04 1.59 .0002 2 1.04 1.70 .0003 3 1.04 1.70 .0004 3 1.04 1.92 .0005 3 1.04 1.77 .0006 2 1.04 1.84 .0007 2 1.04 1.89 .0008 3 1.04 1.89 .0009 2 1.04 2.07 .0010 4 1.04 2.05 .0011 2 1.04 1.96 .0012 3 1.04 1.94 .0013 2 1.04 2.05 .0014 2 1.04 2.00 .0015 2 1.04 2.10 .0016 4 1.04 2.30 .0017 4 1.04 2.29 .0018 5 1.04 2.12 .0019 4 1.03 2.46 .0020 3 1.03 2.27 .0021 2 1.03 2.27 .0022 2 1.03 2.33 .0023 2 1.03 2.36 .0024 3 1.03 2.62 .0025 3 1.03 2.56 .0026 2 1.03 2.40 .0027 2 1.03 2.58 .0028 4 1.03 2.89 .0029 4 1.03 3.00 .0030 2 1.03 3.03 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9.97 .1791 1 0.92 9.22 .1792 1 0.92 9.20 .1793 1 0.92 9.68 .1794 2 0.92 9.33 .1795 2 0.92 9.81 .1796 1 0.92 9.24 .1797 4 0.92 9.62 .1798 3 0.92 9.15 .1799 1 0.92 9.27 .1800 1 0.92 8.89 .1801 1 0.92 9.40 .1802 4 0.92 9.31 .1803 3 0.92 9.70 .1804 2 0.92 9.19 .1805 2 0.92 9.53 .1806 2 0.92 9.49 .1807 2 0.92 9.90 .1808 2 0.92 9.94 .1809 1 0.92 9.50 .1810 1 0.92 9.65 .1811 1 0.92 9.88 .1812 3 0.92 9.49 .1813 3 0.92 9.54 .1814 2 0.92 10.07 .1815 4 0.92 9.24 .1816 2 0.92 10.22 .1817 2 0.92 10.30 .1818 1 0.92 10.27 .1819 1 0.92 9.78 .1820 1 0.92 9.39 .1821 1 0.92 9.49 .1822 1 0.92 9.55 .1823 1 0.92 9.48 .1824 1 0.92 9.22 .1825 3 0.92 9.24 .1826 1 0.92 9.79 .1827 3 0.92 9.25 .1828 2 0.92 9.47 .1829 1 0.92 9.42 .1830 1 0.92 9.47 .1831 1 0.92 9.82 .1832 2 0.92 10.08 .1833 1 0.92 9.62 .1834 1 0.92 9.87 .1835 1 0.92 10.03 .1836 1 0.92 9.77 .1837 1 0.92 9.80 .1838 1 0.92 9.68 .1839 1 0.92 9.31 .1840 1 0.92 9.85 .1841 1 0.92 9.58 .1842 1 0.92 9.12 .1843 2 0.92 9.10 .1844 1 0.92 9.75 .1845 1 0.92 9.55 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2 0.91 10.20 .1901 2 0.91 9.37 .1902 3 0.91 9.35 .1903 2 0.91 9.38 .1904 1 0.91 9.65 .1905 1 0.91 10.53 .1906 2 0.91 9.77 .1907 3 0.91 9.55 .1908 2 0.91 9.72 .1909 2 0.91 10.30 .1910 1 0.91 10.11 .1911 2 0.91 9.83 .1912 3 0.91 9.22 .1913 1 0.91 10.13 .1914 1 0.91 9.84 .1915 1 0.91 9.68 .1916 1 0.91 9.67 .1917 1 0.91 9.58 .1918 1 0.91 9.24 .1919 2 0.91 9.29 .1920 1 0.91 9.07 .1921 1 0.91 9.38 .1922 2 0.91 9.58 .1923 1 0.91 9.56 .1924 1 0.91 8.98 .1925 1 0.91 9.74 .1926 2 0.91 10.21 .1927 2 0.91 9.56 .1928 1 0.91 9.16 .1929 2 0.91 8.86 .1930 1 0.91 9.08 .1931 2 0.91 9.06 .1932 1 0.91 8.76 .1933 1 0.91 8.71 .1934 1 0.91 8.52 .1935 1 0.91 9.30 .1936 1 0.91 8.70 .1937 1 0.91 9.07 .1938 1 0.91 9.00 .1939 2 0.91 9.01 .1940 1 0.91 8.80 .1941 1 0.91 8.91 .1942 1 0.91 8.18 .1943 1 0.91 8.86 .1944 2 0.91 9.06 .1945 1 0.91 9.08 .1946 1 0.91 8.82 .1947 2 0.91 9.01 .1948 2 0.91 8.85 .1949 1 0.91 8.81 .1950 3 0.91 8.95 .1951 1 0.91 9.58 .1952 1 0.92 9.46 .1953 1 0.92 9.56 .1954 1 0.92 9.72 .1955 2 0.92 9.57 .1956 2 0.92 10.03 .1957 1 0.92 9.73 .1958 2 0.92 10.06 .1959 3 0.92 9.72 .1960 2 0.92 10.16 .1961 2 0.92 9.86 .1962 1 0.92 9.66 .1963 1 0.92 9.85 .1964 1 0.92 10.12 .1965 1 0.92 10.01 .1966 2 0.92 9.95 .1967 2 0.92 9.95 .1968 2 0.92 10.28 .1969 1 0.92 10.15 .1970 2 0.92 9.37 .1971 2 0.92 10.71 .1972 2 0.92 10.07 .1973 1 0.92 9.52 .1974 1 0.92 9.17 .1975 1 0.92 9.10 .1976 1 0.92 9.72 .1977 1 0.92 9.94 .1978 2 0.92 9.61 .1979 1 0.92 9.96 .1980 3 0.92 9.12 .1981 1 0.92 9.49 .1982 1 0.92 8.83 .1983 1 0.92 8.91 .1984 1 0.92 9.52 .1985 1 0.92 9.55 .1986 2 0.92 9.78 .1987 2 0.92 9.44 .1988 1 0.92 9.73 .1989 1 0.92 9.06 .1990 1 0.92 9.78 .1991 1 0.92 9.84 .1992 1 0.92 9.30 .1993 1 0.92 9.23 .1994 1 0.92 9.47 .1995 1 0.92 9.28 .1996 3 0.92 10.09 .1997 2 0.92 9.89 .1998 2 0.92 9.93 .1999 1 0.92 9.63 .2000 1 0.92 9.69 .2001 2 0.92 9.44 .2002 1 0.92 9.29 .2003 1 0.92 9.44 .2004 1 0.92 9.76 .2005 3 0.92 9.56 .2006 1 0.92 9.43 .2007 2 0.92 9.60 .2008 1 0.92 9.53 .2009 1 0.92 9.49 .2010 2 0.92 9.70 .2011 1 0.92 9.28 .2012 1 0.92 9.67 .2013 1 0.92 10.07 .2014 1 0.92 9.31 .2015 1 0.92 10.51 .2016 2 0.92 9.92 .2017 1 0.92 10.20 .2018 1 0.92 10.19 .2019 2 0.92 10.08 .2020 1 0.92 10.72 .2021 2 0.92 10.53 .2022 3 0.92 9.65 .2023 1 0.92 9.24 .2024 1 0.92 9.15 .2025 1 0.92 8.73 .2026 1 0.92 8.84 .2027 3 0.92 9.05 .2028 1 0.92 9.95 .2029 1 0.92 9.21 .2030 1 0.92 9.60 .2031 1 0.92 10.65 .2032 2 0.92 9.65 .2033 2 0.92 9.32 .2034 1 0.92 9.58 .2035 1 0.92 9.65 .2036 3 0.92 9.11 .2037 2 0.92 10.15 .2038 2 0.92 10.15 .2039 1 0.92 10.28 .2040 1 0.92 9.63 .2041 3 0.92 9.45 .2042 2 0.92 9.31 .2043 2 0.92 9.32 .2044 2 0.92 9.86 .2045 3 0.92 10.20 .2046 2 0.92 9.51 .2047 2 0.92 9.72 EXTRACT_IMAGE: sdR-r1-00034588.fit: masked 1177 pixels EXTRACT_OBJECT: sdR-r1-00034588.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034588.fit: WARNING: Scattered light median = 317.317 electrons QAPLOT_SCATLIGHT: sdR-r1-00034588.fit: WARNING: Scattered light max = 740.124 electrons EXTRACT_OBJECT: sdR-r1-00034588.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034588.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034588.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034588.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.40 Step 12 of 2112 0.58 96 0.03 0.18 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.58 96 0.02 0.16 Step 36 of 2112 0.58 96 0.03 0.17 Step 44 of 2112 0.58 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.16 Step 68 of 2112 0.59 96 0.02 0.17 Step 76 of 2112 0.59 96 0.03 0.17 Step 84 of 2112 0.59 96 0.03 0.18 Step 92 of 2112 0.59 96 0.02 0.17 Step 100 of 2112 0.59 96 0.02 0.17 Step 108 of 2112 0.59 96 0.02 0.16 Step 116 of 2112 0.60 96 0.03 0.27 Step 124 of 2112 0.60 96 0.09 0.21 Step 132 of 2112 0.60 96 0.03 0.15 Step 140 of 2112 0.60 96 0.04 0.16 Step 148 of 2112 0.60 96 0.03 0.14 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.60 96 0.03 0.15 Step 172 of 2112 0.60 96 0.02 0.15 Step 180 of 2112 0.60 96 0.03 0.16 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.03 0.15 Step 204 of 2112 0.61 96 0.03 0.16 Step 212 of 2112 0.61 96 0.03 0.17 Step 220 of 2112 0.61 96 0.03 0.19 Step 228 of 2112 0.61 96 0.02 0.28 Step 236 of 2112 0.61 96 0.04 0.22 Step 244 of 2112 0.61 96 0.03 0.16 Step 252 of 2112 0.62 96 0.02 0.14 Step 260 of 2112 0.62 96 0.02 0.16 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.02 0.14 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.62 96 0.02 0.15 Step 308 of 2112 0.62 96 0.02 0.17 Step 316 of 2112 0.63 96 0.03 0.19 Step 324 of 2112 0.63 96 0.02 0.18 Step 332 of 2112 0.63 96 0.02 0.18 Step 340 of 2112 0.63 96 0.02 0.17 Step 348 of 2112 0.63 96 0.02 0.17 Step 356 of 2112 0.63 96 0.02 0.29 Step 364 of 2112 0.63 96 0.09 0.28 Step 372 of 2112 0.63 96 0.03 0.14 Step 380 of 2112 0.64 96 0.04 0.15 Step 388 of 2112 0.64 96 0.02 0.15 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.17 Step 420 of 2112 0.64 96 0.03 0.15 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.03 0.15 Step 444 of 2112 0.65 96 0.04 0.14 Step 452 of 2112 0.65 96 0.04 0.15 Step 460 of 2112 0.65 96 0.04 0.18 Step 468 of 2112 0.65 96 0.07 0.41 Step 476 of 2112 0.65 96 0.14 0.34 Step 484 of 2112 0.65 128 0.03 0.22 Step 492 of 2112 0.65 128 0.02 0.22 Step 500 of 2112 0.65 128 0.02 0.22 Step 508 of 2112 0.66 128 0.03 0.23 Step 516 of 2112 0.66 128 0.03 0.24 Step 524 of 2112 0.66 128 0.03 0.24 Step 532 of 2112 0.66 128 0.02 0.21 Step 540 of 2112 0.66 128 0.03 0.22 Step 548 of 2112 0.66 128 0.03 0.21 Step 556 of 2112 0.66 128 0.03 0.20 Step 564 of 2112 0.66 128 0.04 0.21 Step 572 of 2112 0.67 128 0.03 0.22 Step 580 of 2112 0.67 128 0.03 0.23 Step 588 of 2112 0.67 128 0.03 0.24 Step 596 of 2112 0.67 128 0.04 0.23 Step 604 of 2112 0.67 128 0.03 0.20 Step 612 of 2112 0.67 128 0.03 0.22 Step 620 of 2112 0.67 128 0.04 0.21 Step 628 of 2112 0.67 128 0.03 0.20 Step 636 of 2112 0.68 128 0.03 0.20 Step 644 of 2112 0.68 128 0.02 0.21 Step 652 of 2112 0.68 128 0.02 0.19 Step 660 of 2112 0.68 128 0.03 0.22 Step 668 of 2112 0.68 128 0.02 0.21 Step 676 of 2112 0.68 128 0.02 0.25 Step 684 of 2112 0.68 128 0.02 0.21 Step 692 of 2112 0.69 128 0.02 0.20 Step 700 of 2112 0.69 128 0.03 0.21 Step 708 of 2112 0.69 128 0.03 0.21 Step 716 of 2112 0.69 128 0.03 0.22 Step 724 of 2112 0.69 128 0.02 0.22 Step 732 of 2112 0.69 128 0.03 0.20 Step 740 of 2112 0.69 128 0.03 0.22 Step 748 of 2112 0.69 128 0.03 0.20 Step 756 of 2112 0.70 128 0.04 0.24 Step 764 of 2112 0.70 128 0.03 0.22 Step 772 of 2112 0.70 128 0.03 0.23 Step 780 of 2112 0.70 128 0.03 0.22 Step 788 of 2112 0.70 128 0.03 0.21 Step 796 of 2112 0.70 128 0.02 0.20 Step 804 of 2112 0.70 128 0.03 0.21 Step 812 of 2112 0.70 128 0.02 0.20 Step 820 of 2112 0.71 128 0.02 0.20 Step 828 of 2112 0.71 128 0.02 0.20 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.02 0.22 Step 852 of 2112 0.71 128 0.02 0.21 Step 860 of 2112 0.71 128 0.02 0.23 Step 868 of 2112 0.71 128 0.02 0.21 Step 876 of 2112 0.72 128 0.02 0.21 Step 884 of 2112 0.72 128 0.03 0.23 Step 892 of 2112 0.72 128 0.03 0.22 Step 900 of 2112 0.72 128 0.04 0.24 Step 908 of 2112 0.72 128 0.02 0.20 Step 916 of 2112 0.72 128 0.03 0.21 Step 924 of 2112 0.72 128 0.03 0.21 Step 932 of 2112 0.72 128 0.03 0.22 Step 940 of 2112 0.73 128 0.02 0.22 Step 948 of 2112 0.73 128 0.02 0.21 Step 956 of 2112 0.73 128 0.02 0.21 Step 964 of 2112 0.73 128 0.02 0.21 Step 972 of 2112 0.73 128 0.02 0.21 Step 980 of 2112 0.73 160 0.04 0.35 Step 988 of 2112 0.73 160 0.04 0.34 Step 996 of 2112 0.74 160 0.04 0.35 Step 1004 of 2112 0.74 160 0.03 0.33 Step 1012 of 2112 0.74 160 0.04 0.35 Step 1020 of 2112 0.74 160 0.04 0.40 Step 1028 of 2112 0.74 160 0.03 0.37 Step 1036 of 2112 0.74 160 0.03 0.33 Step 1044 of 2112 0.74 160 0.03 0.33 Step 1052 of 2112 0.75 160 0.03 0.33 Step 1060 of 2112 0.75 160 0.03 0.34 Step 1068 of 2112 0.75 160 0.03 0.33 Step 1076 of 2112 0.75 160 0.04 0.37 Step 1084 of 2112 0.75 160 0.03 0.36 Step 1092 of 2112 0.75 160 0.04 0.38 Step 1100 of 2112 0.75 160 0.03 0.36 Step 1108 of 2112 0.75 160 0.03 0.36 Step 1116 of 2112 0.76 160 0.04 0.34 Step 1124 of 2112 0.76 160 0.03 0.32 Step 1132 of 2112 0.76 160 0.04 0.33 Step 1140 of 2112 0.76 160 0.04 0.35 Step 1148 of 2112 0.76 160 0.04 0.34 Step 1156 of 2112 0.76 160 0.04 0.34 Step 1164 of 2112 0.76 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.34 Step 1180 of 2112 0.77 160 0.04 0.33 Step 1188 of 2112 0.77 160 0.03 0.32 Step 1196 of 2112 0.77 160 0.03 0.34 Step 1204 of 2112 0.77 160 0.03 0.32 Step 1212 of 2112 0.77 160 0.03 0.32 Step 1220 of 2112 0.77 160 0.03 0.32 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.32 Step 1244 of 2112 0.78 160 0.03 0.32 Step 1252 of 2112 0.78 160 0.03 0.32 Step 1260 of 2112 0.78 160 0.03 0.32 Step 1268 of 2112 0.78 160 0.03 0.32 Step 1276 of 2112 0.78 160 0.04 0.34 Step 1284 of 2112 0.78 160 0.03 0.33 Step 1292 of 2112 0.79 160 0.03 0.39 Step 1300 of 2112 0.79 160 0.05 0.45 Step 1308 of 2112 0.79 160 0.04 0.36 Step 1316 of 2112 0.79 160 0.03 0.34 Step 1324 of 2112 0.79 160 0.03 0.34 Step 1332 of 2112 0.79 160 0.03 0.35 Step 1340 of 2112 0.79 160 0.04 0.36 Step 1348 of 2112 0.80 160 0.03 0.33 Step 1356 of 2112 0.80 160 0.03 0.35 Step 1364 of 2112 0.80 192 0.03 0.41 Step 1372 of 2112 0.80 192 0.04 0.43 Step 1380 of 2112 0.80 192 0.04 0.38 Step 1388 of 2112 0.80 192 0.02 0.37 Step 1396 of 2112 0.80 192 0.03 0.39 Step 1404 of 2112 0.81 192 0.02 0.38 Step 1412 of 2112 0.81 192 0.02 0.37 Step 1420 of 2112 0.81 192 0.03 0.38 Step 1428 of 2112 0.81 192 0.02 0.40 Step 1436 of 2112 0.81 192 0.02 0.37 Step 1444 of 2112 0.81 192 0.03 0.36 Step 1452 of 2112 0.81 192 0.04 0.40 Step 1460 of 2112 0.82 192 0.03 0.37 Step 1468 of 2112 0.82 192 0.04 0.38 Step 1476 of 2112 0.82 192 0.05 0.41 Step 1484 of 2112 0.82 192 0.04 0.38 Step 1492 of 2112 0.82 192 0.04 0.38 Step 1500 of 2112 0.82 192 0.04 0.42 Step 1508 of 2112 0.82 192 0.04 0.40 Step 1516 of 2112 0.83 192 0.05 0.39 Step 1524 of 2112 0.83 192 0.03 0.35 Step 1532 of 2112 0.83 192 0.03 0.36 Step 1540 of 2112 0.83 192 0.03 0.40 Step 1548 of 2112 0.83 192 0.04 0.38 Step 1556 of 2112 0.83 192 0.03 0.38 Step 1564 of 2112 0.83 192 0.04 0.40 Step 1572 of 2112 0.84 192 0.04 0.39 Step 1580 of 2112 0.84 192 0.04 0.39 Step 1588 of 2112 0.84 192 0.05 0.38 Step 1596 of 2112 0.84 192 0.04 0.40 Step 1604 of 2112 0.84 192 0.03 0.37 Step 1612 of 2112 0.84 192 0.04 0.37 Step 1620 of 2112 0.84 192 0.04 0.38 Step 1628 of 2112 0.84 192 0.03 0.39 Step 1636 of 2112 0.85 192 0.04 0.39 Step 1644 of 2112 0.85 192 0.04 0.39 Step 1652 of 2112 0.85 192 0.03 0.41 Step 1660 of 2112 0.85 192 0.04 0.40 Step 1668 of 2112 0.85 192 0.04 0.40 Step 1676 of 2112 0.85 192 0.04 0.39 Step 1684 of 2112 0.85 192 0.04 0.40 Step 1692 of 2112 0.86 224 0.05 0.50 Step 1700 of 2112 0.86 224 0.03 0.48 Step 1708 of 2112 0.86 224 0.04 0.57 Step 1716 of 2112 0.86 224 0.04 0.48 Step 1724 of 2112 0.86 224 0.05 0.47 Step 1732 of 2112 0.86 224 0.05 0.50 Step 1740 of 2112 0.86 224 0.05 0.51 Step 1748 of 2112 0.87 224 0.04 0.46 Step 1756 of 2112 0.87 224 0.05 0.51 Step 1764 of 2112 0.87 224 0.06 0.48 Step 1772 of 2112 0.87 224 0.06 0.50 Step 1780 of 2112 0.87 224 0.05 0.49 Step 1788 of 2112 0.87 224 0.05 0.51 Step 1796 of 2112 0.87 224 0.05 0.49 Step 1804 of 2112 0.88 224 0.04 0.49 Step 1812 of 2112 0.88 224 0.04 0.49 Step 1820 of 2112 0.88 224 0.04 0.48 Step 1828 of 2112 0.88 224 0.04 0.53 Step 1836 of 2112 0.88 224 0.05 0.50 Step 1844 of 2112 0.88 224 0.04 0.49 Step 1852 of 2112 0.88 224 0.04 0.51 Step 1860 of 2112 0.89 224 0.04 0.49 Step 1868 of 2112 0.89 224 0.04 0.47 Step 1876 of 2112 0.89 224 0.04 0.50 Step 1884 of 2112 0.89 224 0.03 0.47 Step 1892 of 2112 0.89 224 0.04 0.50 Step 1900 of 2112 0.89 224 0.05 0.50 Step 1908 of 2112 0.89 224 0.03 0.48 Step 1916 of 2112 0.90 224 0.04 0.48 Step 1924 of 2112 0.90 224 0.04 0.49 Step 1932 of 2112 0.90 224 0.04 0.49 Step 1940 of 2112 0.90 224 0.05 0.53 Step 1948 of 2112 0.90 224 0.05 0.52 Step 1956 of 2112 0.90 224 0.05 0.50 Step 1964 of 2112 0.90 256 0.05 0.49 Step 1972 of 2112 0.91 256 0.06 0.51 Step 1980 of 2112 0.91 256 0.05 0.52 Step 1988 of 2112 0.91 256 0.05 0.53 Step 1996 of 2112 0.91 256 0.06 0.55 Step 2004 of 2112 0.91 256 0.05 0.51 Step 2012 of 2112 0.91 256 0.03 0.51 Step 2020 of 2112 0.91 256 0.03 0.49 Step 2028 of 2112 0.92 256 0.03 0.52 Step 2036 of 2112 0.92 256 0.05 0.55 Step 2044 of 2112 0.92 256 0.05 0.52 Step 2052 of 2112 0.92 256 0.05 0.55 Step 2060 of 2112 0.92 256 0.06 0.53 Step 2068 of 2112 0.92 256 0.05 0.52 Step 2076 of 2112 0.92 256 0.05 0.53 Step 2084 of 2112 0.93 256 0.05 0.53 Step 2092 of 2112 0.93 256 0.05 0.50 Step 2100 of 2112 0.93 256 0.05 0.50 Step 2108 of 2112 0.93 256 0.03 0.52 EXTRACT_OBJECT: sdR-r1-00034588.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 2 1.04 1.86 .0001 2 1.04 1.57 .0002 2 1.04 1.66 .0003 3 1.04 1.66 .0004 3 1.04 1.87 .0005 3 1.04 1.73 .0006 2 1.04 1.79 .0007 2 1.04 1.84 .0008 3 1.04 1.84 .0009 2 1.04 2.01 .0010 4 1.04 1.98 .0011 2 1.04 1.89 .0012 3 1.04 1.87 .0013 2 1.04 1.98 .0014 2 1.04 1.93 .0015 2 1.04 2.02 .0016 4 1.04 2.22 .0017 4 1.04 2.20 .0018 5 1.04 2.02 .0019 4 1.03 2.36 .0020 3 1.03 2.16 .0021 2 1.03 2.16 .0022 2 1.03 2.21 .0023 2 1.03 2.24 .0024 3 1.03 2.50 .0025 3 1.03 2.44 .0026 2 1.03 2.27 .0027 2 1.03 2.45 .0028 3 1.03 2.73 .0029 4 1.03 2.84 .0030 3 1.03 2.74 .0031 3 1.03 2.63 .0032 2 1.03 2.99 .0033 2 1.03 3.22 .0034 3 1.03 3.15 .0035 3 1.03 3.22 .0036 4 1.03 3.46 .0037 2 1.03 3.15 .0038 3 1.03 3.12 .0039 2 1.03 3.27 .0040 1 1.03 3.35 .0041 1 1.03 3.42 .0042 3 1.03 3.58 .0043 2 1.03 3.59 .0044 1 1.03 3.85 .0045 3 1.03 3.53 .0046 1 1.03 3.78 .0047 1 1.03 3.77 .0048 2 1.03 3.94 .0049 2 1.03 3.82 .0050 2 1.03 4.09 .0051 1 1.03 3.95 .0052 1 1.03 4.14 .0053 3 1.03 4.27 .0054 3 1.03 4.45 .0055 2 1.03 4.02 .0056 3 1.03 4.38 .0057 2 1.03 4.36 .0058 1 1.03 4.62 .0059 1 1.03 4.47 .0060 2 1.03 4.72 .0061 2 1.03 4.41 .0062 1 1.03 4.98 .0063 2 1.03 4.85 .0064 1 1.03 4.78 .0065 1 1.03 4.94 .0066 1 1.03 5.02 .0067 2 1.03 5.43 .0068 2 1.03 5.72 .0069 1 1.03 5.59 .0070 1 1.03 5.28 .0071 1 1.02 5.43 .0072 2 1.02 6.19 .0073 2 1.02 5.69 .0074 2 1.02 5.67 .0075 1 1.02 5.96 .0076 3 1.02 5.73 .0077 2 1.02 5.88 .0078 1 1.02 5.79 .0079 2 1.02 5.87 .0080 2 1.02 6.10 .0081 1 1.02 5.92 .0082 2 1.02 7.11 .0083 4 1.02 6.17 .0084 1 1.02 6.42 .0085 1 1.02 6.08 .0086 1 1.02 6.11 .0087 1 1.02 6.37 .0088 2 1.02 6.48 .0089 2 1.02 6.34 .0090 1 1.02 6.58 .0091 1 1.02 6.53 .0092 1 1.02 6.48 .0093 1 1.02 6.36 .0094 2 1.02 7.24 .0095 2 1.02 7.01 .0096 1 1.02 6.46 .0097 1 1.02 6.84 .0098 1 1.02 6.69 .0099 2 1.02 6.88 .0100 2 1.02 6.63 .0101 2 1.02 6.62 .0102 3 1.02 6.75 .0103 1 1.02 7.40 .0104 1 1.02 6.99 .0105 1 1.02 6.93 .0106 2 1.02 7.07 .0107 4 1.02 6.76 .0108 1 1.02 6.81 .0109 1 1.02 7.03 .0110 1 1.02 7.29 .0111 1 1.02 6.86 .0112 2 1.02 7.10 .0113 2 1.02 7.37 .0114 1 1.02 7.33 .0115 1 1.02 7.12 .0116 2 1.02 7.18 .0117 1 1.02 7.21 .0118 1 1.02 7.09 .0119 2 1.02 7.97 .0120 2 1.02 7.33 .0121 1 1.02 7.48 .0122 1 1.02 7.60 .0123 3 1.02 7.49 .0124 2 1.02 7.46 .0125 1 1.02 7.32 .0126 1 1.02 6.94 .0127 1 1.02 7.40 .0128 1 1.01 7.39 .0129 2 1.01 7.20 .0130 2 1.01 7.05 .0131 2 1.01 7.23 .0132 1 1.01 7.71 .0133 1 1.01 7.67 .0134 1 1.01 7.04 .0135 1 1.01 7.24 .0136 1 1.01 7.08 .0137 1 1.01 6.95 .0138 1 1.01 7.16 .0139 1 1.01 6.82 .0140 1 1.01 6.86 .0141 2 1.01 7.21 .0142 3 1.01 6.86 .0143 1 1.01 7.06 .0144 1 1.01 6.72 .0145 1 1.01 6.69 .0146 2 1.01 6.71 .0147 2 1.01 6.74 .0148 2 1.01 6.85 .0149 2 1.01 7.07 .0150 1 1.01 6.57 .0151 2 1.01 6.91 .0152 1 1.01 7.25 .0153 1 1.01 7.20 .0154 1 1.01 6.96 .0155 2 1.01 6.86 .0156 1 1.01 7.09 .0157 2 1.01 6.87 .0158 2 1.01 6.85 .0159 1 1.01 6.82 .0160 1 1.01 7.24 .0161 1 1.01 6.93 .0162 1 1.01 7.09 .0163 2 1.01 6.70 .0164 1 1.01 6.79 .0165 2 1.01 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3.28 .1941 2 0.91 3.13 .1942 1 0.91 2.87 .1943 2 0.91 3.15 .1944 2 0.91 3.49 .1945 2 0.91 3.21 .1946 1 0.91 3.16 .1947 3 0.91 3.22 .1948 2 0.91 3.19 .1949 1 0.91 3.10 .1950 3 0.91 3.18 .1951 2 0.91 3.58 .1952 1 0.92 3.53 .1953 2 0.92 3.39 .1954 1 0.92 3.64 .1955 3 0.92 3.37 .1956 2 0.92 3.63 .1957 1 0.92 3.65 .1958 2 0.92 3.91 .1959 2 0.92 3.63 .1960 2 0.92 4.09 .1961 2 0.92 3.70 .1962 1 0.92 3.66 .1963 1 0.92 3.80 .1964 2 0.92 3.85 .1965 2 0.92 3.61 .1966 3 0.92 3.67 .1967 2 0.92 3.84 .1968 2 0.92 4.08 .1969 2 0.92 3.71 .1970 2 0.92 3.60 .1971 4 0.92 3.68 .1972 2 0.92 3.66 .1973 1 0.92 3.74 .1974 1 0.92 3.36 .1975 1 0.92 3.48 .1976 1 0.92 3.83 .1977 2 0.92 3.58 .1978 2 0.92 4.00 .1979 3 0.92 3.53 .1980 3 0.92 3.41 .1981 2 0.92 3.46 .1982 1 0.92 3.22 .1983 1 0.92 3.28 .1984 1 0.92 3.68 .1985 2 0.92 3.47 .1986 2 0.92 3.53 .1987 2 0.92 3.55 .1988 2 0.92 3.63 .1989 1 0.92 3.40 .1990 2 0.92 3.73 .1991 2 0.92 3.58 .1992 1 0.92 3.43 .1993 1 0.92 3.45 .1994 2 0.92 3.44 .1995 1 0.92 3.45 .1996 2 0.92 4.24 .1997 2 0.92 3.66 .1998 2 0.92 3.91 .1999 1 0.92 3.70 .2000 1 0.92 3.81 .2001 3 0.92 3.36 .2002 1 0.92 3.46 .2003 1 0.92 3.56 .2004 2 0.92 3.66 .2005 2 0.92 3.63 .2006 2 0.92 3.44 .2007 3 0.92 3.56 .2008 1 0.92 3.64 .2009 1 0.92 3.61 .2010 2 0.92 3.69 .2011 1 0.92 3.49 .2012 2 0.92 3.44 .2013 2 0.92 3.53 .2014 1 0.92 3.55 .2015 3 0.92 3.60 .2016 2 0.92 3.79 .2017 3 0.92 3.55 .2018 2 0.92 3.75 .2019 2 0.92 4.29 .2020 2 0.92 4.02 .2021 5 0.92 3.82 .2022 3 0.92 3.83 .2023 2 0.92 3.49 .2024 1 0.92 3.63 .2025 1 0.92 3.27 .2026 1 0.92 3.37 .2027 3 0.92 3.56 .2028 3 0.92 3.47 .2029 1 0.92 3.67 .2030 2 0.92 3.67 .2031 2 0.92 3.96 .2032 3 0.92 3.84 .2033 2 0.92 3.86 .2034 2 0.92 3.52 .2035 2 0.92 3.68 .2036 3 0.92 3.52 .2037 3 0.92 3.82 .2038 3 0.92 3.62 .2039 2 0.92 3.75 .2040 1 0.92 4.03 .2041 3 0.92 3.77 .2042 2 0.92 3.75 .2043 2 0.92 3.59 .2044 2 0.92 3.80 .2045 3 0.92 4.02 .2046 2 0.92 3.96 .2047 3 0.92 3.55 EXTRACT_IMAGE: sdR-r1-00034588.fit: masked 1979 pixels EXTRACT_OBJECT: sdR-r1-00034588.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034588.fit: WARNING: Scattered light median = 94.5572 electrons QAPLOT_SCATLIGHT: sdR-r1-00034588.fit: WARNING: Scattered light max = 220.591 electrons EXTRACT_OBJECT: sdR-r1-00034588.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 2 1.04 2.61 .0001 2 1.04 2.07 .0002 2 1.04 1.99 .0003 3 1.04 1.90 .0004 3 1.04 1.93 .0005 2 1.04 1.88 .0006 2 1.04 1.89 .0007 2 1.04 1.87 .0008 2 1.04 1.85 .0009 3 1.04 1.95 .0010 4 1.04 1.86 .0011 3 1.04 1.86 .0012 3 1.04 1.95 .0013 3 1.04 1.94 .0014 2 1.04 1.98 .0015 2 1.04 2.08 .0016 4 1.04 2.28 .0017 4 1.04 2.24 .0018 4 1.04 2.22 .0019 3 1.03 2.47 .0020 4 1.03 2.32 .0021 2 1.03 2.47 .0022 2 1.03 2.55 .0023 2 1.03 2.58 .0024 3 1.03 2.78 .0025 3 1.03 2.78 .0026 2 1.03 2.61 .0027 2 1.03 2.88 .0028 3 1.03 3.22 .0029 3 1.03 3.23 .0030 3 1.03 3.08 .0031 3 1.03 3.17 .0032 3 1.03 3.35 .0033 4 1.03 3.26 .0034 3 1.03 3.54 .0035 3 1.03 3.84 .0036 4 1.03 3.64 .0037 2 1.03 3.75 .0038 3 1.03 3.76 .0039 2 1.03 3.88 .0040 1 1.03 3.91 .0041 3 1.03 3.72 .0042 3 1.03 4.07 .0043 2 1.03 4.29 .0044 2 1.03 4.30 .0045 4 1.03 3.98 .0046 2 1.03 4.24 .0047 1 1.03 4.29 .0048 2 1.03 4.43 .0049 2 1.03 4.22 .0050 2 1.03 4.58 .0051 1 1.03 4.43 .0052 2 1.03 4.55 .0053 3 1.03 4.80 .0054 3 1.03 4.86 .0055 2 1.03 4.40 .0056 3 1.03 5.06 .0057 2 1.03 4.73 .0058 2 1.03 4.88 .0059 2 1.03 4.72 .0060 2 1.03 5.01 .0061 2 1.03 4.76 .0062 2 1.03 5.14 .0063 2 1.03 5.07 .0064 2 1.03 4.96 .0065 2 1.03 5.17 .0066 2 1.03 5.22 .0067 4 1.03 5.38 .0068 3 1.03 5.28 .0069 2 1.03 5.56 .0070 2 1.03 5.43 .0071 2 1.02 5.45 .0072 3 1.02 6.12 .0073 3 1.02 5.76 .0074 2 1.02 5.82 .0075 1 1.02 6.06 .0076 3 1.02 5.85 .0077 3 1.02 5.89 .0078 1 1.02 5.85 .0079 2 1.02 5.96 .0080 2 1.02 6.12 .0081 1 1.02 5.98 .0082 2 1.02 6.53 .0083 4 1.02 6.21 .0084 1 1.02 6.35 .0085 1 1.02 6.12 .0086 1 1.02 6.13 .0087 1 1.02 6.28 .0088 2 1.02 6.43 .0089 2 1.02 6.39 .0090 1 1.02 6.51 .0091 1 1.02 6.47 .0092 1 1.02 6.34 .0093 1 1.02 6.29 .0094 3 1.02 6.59 .0095 4 1.02 6.52 .0096 2 1.02 6.31 .0097 2 1.02 6.54 .0098 1 1.02 6.56 .0099 2 1.02 6.56 .0100 3 1.02 6.58 .0101 2 1.02 6.60 .0102 3 1.02 6.50 .0103 3 1.02 6.57 .0104 1 1.02 6.88 .0105 1 1.02 6.76 .0106 2 1.02 6.95 .0107 4 1.02 6.72 .0108 1 1.02 6.77 .0109 1 1.02 6.88 .0110 1 1.02 7.27 .0111 1 1.02 6.72 .0112 2 1.02 7.00 .0113 2 1.02 7.21 .0114 2 1.02 7.07 .0115 1 1.02 7.00 .0116 2 1.02 7.04 .0117 1 1.02 7.06 .0118 1 1.02 6.99 .0119 2 1.02 7.80 .0120 2 1.02 7.16 .0121 2 1.02 6.92 .0122 2 1.02 7.02 .0123 3 1.02 7.21 .0124 2 1.02 7.24 .0125 1 1.02 7.13 .0126 1 1.02 6.79 .0127 1 1.02 7.28 .0128 2 1.01 6.94 .0129 2 1.01 7.12 .0130 2 1.01 6.88 .0131 2 1.01 7.12 .0132 2 1.01 7.22 .0133 2 1.01 7.18 .0134 1 1.01 7.01 .0135 3 1.01 7.02 .0136 1 1.01 6.96 .0137 1 1.01 6.84 .0138 1 1.01 7.06 .0139 1 1.01 6.80 .0140 1 1.01 6.86 .0141 3 1.01 6.75 .0142 2 1.01 6.80 .0143 1 1.01 7.11 .0144 1 1.01 6.92 .0145 1 1.01 6.83 .0146 2 1.01 6.80 .0147 2 1.01 6.79 .0148 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.1588 3 0.92 3.81 .1589 2 0.92 3.83 .1590 3 0.92 4.29 .1591 1 0.92 4.02 .1592 1 0.92 3.75 .1593 2 0.92 3.71 .1594 2 0.92 3.91 .1595 1 0.92 4.05 .1596 1 0.92 3.81 .1597 2 0.92 3.99 .1598 2 0.92 3.90 .1599 1 0.92 3.77 .1600 3 0.92 3.88 .1601 3 0.92 3.99 .1602 2 0.92 3.90 .1603 2 0.92 3.81 .1604 5 0.92 3.73 .1605 2 0.92 3.72 .1606 2 0.92 3.82 .1607 2 0.92 3.92 .1608 1 0.92 3.97 .1609 1 0.92 3.79 .1610 1 0.92 3.85 .1611 2 0.92 3.88 .1612 2 0.92 3.99 .1613 2 0.92 3.82 .1614 2 0.92 3.79 .1615 4 0.92 3.86 .1616 1 0.92 3.95 .1617 2 0.92 3.88 .1618 3 0.92 4.02 .1619 4 0.92 4.42 .1620 3 0.92 3.96 .1621 1 0.92 4.03 .1622 3 0.92 3.92 .1623 2 0.92 3.83 .1624 3 0.92 3.83 .1625 2 0.92 3.84 .1626 3 0.92 3.79 .1627 3 0.92 3.74 .1628 4 0.92 3.78 .1629 2 0.92 4.06 .1630 3 0.92 3.75 .1631 1 0.92 3.88 .1632 3 0.92 3.86 .1633 2 0.92 4.13 .1634 1 0.92 3.80 .1635 1 0.92 3.79 .1636 2 0.92 4.14 .1637 3 0.92 3.99 .1638 4 0.92 4.16 .1639 2 0.92 4.17 .1640 1 0.92 3.85 .1641 2 0.92 3.89 .1642 2 0.92 3.81 .1643 1 0.92 3.77 .1644 1 0.92 3.79 .1645 1 0.92 3.80 .1646 2 0.92 3.81 .1647 3 0.92 3.89 .1648 2 0.92 3.76 .1649 2 0.92 3.96 .1650 3 0.92 3.80 .1651 3 0.92 3.78 .1652 1 0.92 3.86 .1653 1 0.92 3.90 .1654 1 0.92 3.88 .1655 1 0.92 3.77 .1656 4 0.92 3.77 .1657 3 0.92 3.81 .1658 3 0.92 3.71 .1659 1 0.92 3.68 .1660 2 0.92 3.64 .1661 2 0.92 3.84 .1662 2 0.92 3.74 .1663 3 0.92 3.85 .1664 2 0.92 3.77 .1665 1 0.92 3.95 .1666 2 0.92 3.91 .1667 2 0.92 3.91 .1668 3 0.92 3.85 .1669 3 0.92 3.87 .1670 1 0.92 4.18 .1671 4 0.92 3.75 .1672 3 0.92 3.71 .1673 3 0.92 3.82 .1674 2 0.92 3.82 .1675 3 0.92 3.70 .1676 1 0.92 3.84 .1677 2 0.92 3.80 .1678 3 0.92 3.69 .1679 1 0.92 3.81 .1680 2 0.92 3.58 .1681 1 0.92 3.64 .1682 1 0.92 3.80 .1683 1 0.92 3.65 .1684 1 0.92 3.80 .1685 2 0.92 3.58 .1686 2 0.92 3.83 .1687 2 0.92 3.97 .1688 3 0.92 3.83 .1689 2 0.92 3.87 .1690 1 0.92 4.08 .1691 3 0.92 3.96 .1692 2 0.92 4.07 .1693 3 0.92 3.93 .1694 4 0.92 3.85 .1695 2 0.92 4.00 .1696 2 0.92 3.78 .1697 2 0.92 3.84 .1698 1 0.92 3.92 .1699 2 0.92 3.78 .1700 3 0.92 3.78 .1701 3 0.92 3.83 .1702 2 0.92 3.96 .1703 3 0.92 4.05 .1704 1 0.92 4.03 .1705 1 0.92 4.05 .1706 3 0.92 3.71 .1707 3 0.92 3.71 .1708 3 0.92 3.66 .1709 3 0.92 3.75 .1710 3 0.92 3.46 .1711 2 0.92 3.71 .1712 3 0.92 4.09 .1713 2 0.92 3.86 .1714 3 0.92 4.16 .1715 2 0.92 3.79 .1716 1 0.92 3.78 .1717 1 0.92 4.18 .1718 3 0.92 3.89 .1719 2 0.92 3.86 .1720 2 0.92 3.77 .1721 1 0.92 3.87 .1722 1 0.92 3.78 .1723 2 0.92 3.87 .1724 1 0.92 3.93 .1725 3 0.92 3.75 .1726 2 0.92 3.97 .1727 1 0.92 3.78 .1728 1 0.92 3.63 .1729 2 0.92 3.74 .1730 2 0.92 3.71 .1731 2 0.92 3.74 .1732 2 0.92 3.60 .1733 3 0.92 3.78 .1734 2 0.92 3.79 .1735 2 0.92 3.92 .1736 2 0.92 3.74 .1737 2 0.92 3.77 .1738 2 0.92 3.65 .1739 2 0.92 3.72 .1740 3 0.92 3.56 .1741 1 0.92 4.15 .1742 1 0.92 3.59 .1743 1 0.92 3.91 .1744 2 0.92 3.54 .1745 1 0.92 3.47 .1746 1 0.92 3.56 .1747 1 0.92 3.44 .1748 2 0.92 3.41 .1749 2 0.92 3.55 .1750 2 0.92 3.70 .1751 2 0.92 3.62 .1752 2 0.92 3.24 .1753 2 0.92 3.34 .1754 2 0.92 3.64 .1755 3 0.92 3.77 .1756 3 0.92 3.87 .1757 3 0.92 3.55 .1758 2 0.92 3.74 .1759 3 0.92 3.69 .1760 1 0.92 4.04 .1761 2 0.92 4.04 .1762 1 0.92 3.91 .1763 2 0.92 3.67 .1764 1 0.92 3.72 .1765 3 0.92 3.79 .1766 2 0.92 3.92 .1767 3 0.92 3.69 .1768 2 0.92 4.17 .1769 3 0.92 3.78 .1770 2 0.92 3.72 .1771 2 0.92 3.73 .1772 2 0.92 3.79 .1773 2 0.92 3.71 .1774 2 0.92 3.75 .1775 2 0.92 3.76 .1776 1 0.92 3.71 .1777 3 0.92 3.56 .1778 2 0.92 3.61 .1779 2 0.92 3.96 .1780 1 0.92 3.72 .1781 2 0.92 3.72 .1782 2 0.92 3.80 .1783 2 0.92 3.59 .1784 2 0.92 3.62 .1785 1 0.92 3.76 .1786 2 0.92 3.82 .1787 2 0.92 3.56 .1788 1 0.92 3.50 .1789 2 0.92 3.72 .1790 2 0.92 3.66 .1791 1 0.92 3.60 .1792 1 0.92 3.51 .1793 4 0.92 3.72 .1794 2 0.92 3.82 .1795 2 0.92 3.92 .1796 2 0.92 3.71 .1797 3 0.92 3.64 .1798 3 0.92 3.67 .1799 1 0.92 3.69 .1800 1 0.92 3.57 .1801 2 0.92 3.68 .1802 4 0.92 3.53 .1803 2 0.92 3.70 .1804 2 0.92 3.62 .1805 2 0.92 3.87 .1806 3 0.92 3.84 .1807 3 0.92 3.61 .1808 3 0.92 3.89 .1809 2 0.92 3.68 .1810 2 0.92 3.70 .1811 2 0.92 3.82 .1812 2 0.92 3.85 .1813 3 0.92 3.80 .1814 3 0.92 3.67 .1815 3 0.92 3.55 .1816 3 0.92 3.84 .1817 2 0.92 3.98 .1818 2 0.92 4.03 .1819 2 0.92 3.79 .1820 1 0.92 3.77 .1821 1 0.92 3.77 .1822 1 0.92 3.75 .1823 1 0.92 3.80 .1824 1 0.92 3.49 .1825 3 0.92 3.65 .1826 1 0.92 3.93 .1827 3 0.92 3.76 .1828 2 0.92 3.69 .1829 1 0.92 3.82 .1830 1 0.92 3.72 .1831 1 0.92 3.88 .1832 3 0.92 3.94 .1833 1 0.92 3.86 .1834 2 0.92 3.86 .1835 2 0.92 3.82 .1836 3 0.92 3.91 .1837 2 0.92 3.90 .1838 3 0.92 3.66 .1839 3 0.92 3.55 .1840 3 0.92 3.90 .1841 3 0.92 3.75 .1842 1 0.92 3.92 .1843 2 0.92 3.64 .1844 1 0.92 3.92 .1845 1 0.92 3.83 .1846 6 0.92 3.65 .1847 2 0.91 3.89 .1848 1 0.91 3.73 .1849 3 0.91 3.75 .1850 3 0.91 3.72 .1851 2 0.91 4.01 .1852 2 0.91 3.77 .1853 4 0.91 3.77 .1854 2 0.91 3.66 .1855 1 0.91 3.64 .1856 2 0.91 3.57 .1857 3 0.91 3.64 .1858 2 0.91 3.68 .1859 2 0.91 3.79 .1860 3 0.91 3.54 .1861 1 0.91 3.67 .1862 1 0.91 3.57 .1863 1 0.91 3.45 .1864 1 0.91 3.58 .1865 2 0.91 3.74 .1866 2 0.91 3.45 .1867 2 0.91 3.67 .1868 4 0.91 3.66 .1869 3 0.91 3.87 .1870 3 0.91 3.77 .1871 2 0.91 3.88 .1872 2 0.91 3.84 .1873 1 0.91 4.07 .1874 3 0.91 3.90 .1875 1 0.91 4.03 .1876 3 0.91 3.85 .1877 3 0.91 4.07 .1878 3 0.91 4.03 .1879 2 0.91 3.85 .1880 3 0.91 3.74 .1881 2 0.91 3.66 .1882 2 0.91 3.69 .1883 2 0.91 3.98 .1884 1 0.91 3.97 .1885 1 0.91 4.04 .1886 4 0.91 3.86 .1887 3 0.91 4.11 .1888 3 0.91 3.93 .1889 1 0.91 4.06 .1890 1 0.91 3.96 .1891 2 0.91 3.96 .1892 2 0.91 4.14 .1893 3 0.91 4.05 .1894 4 0.91 4.22 .1895 2 0.91 3.87 .1896 1 0.91 3.88 .1897 2 0.91 3.82 .1898 2 0.91 3.83 .1899 4 0.91 3.84 .1900 2 0.91 3.78 .1901 2 0.91 3.66 .1902 3 0.91 3.63 .1903 2 0.91 3.81 .1904 1 0.91 3.77 .1905 3 0.91 3.95 .1906 2 0.91 3.89 .1907 3 0.91 3.67 .1908 2 0.91 3.76 .1909 3 0.91 3.92 .1910 2 0.91 3.73 .1911 3 0.91 3.72 .1912 3 0.91 3.78 .1913 3 0.91 3.86 .1914 2 0.91 3.72 .1915 2 0.91 3.89 .1916 2 0.91 3.75 .1917 1 0.91 3.86 .1918 1 0.91 3.57 .1919 2 0.91 3.74 .1920 1 0.91 3.57 .1921 1 0.91 3.60 .1922 3 0.91 3.60 .1923 2 0.91 3.79 .1924 1 0.91 3.63 .1925 2 0.91 3.86 .1926 2 0.91 4.03 .1927 3 0.91 3.83 .1928 2 0.91 3.61 .1929 2 0.91 3.57 .1930 2 0.91 3.69 .1931 3 0.91 3.69 .1932 2 0.91 3.59 .1933 1 0.91 3.61 .1934 1 0.91 3.45 .1935 3 0.91 3.49 .1936 1 0.91 3.62 .1937 2 0.91 3.66 .1938 2 0.91 3.56 .1939 2 0.91 3.64 .1940 1 0.91 3.71 .1941 2 0.91 3.36 .1942 1 0.91 3.26 .1943 2 0.91 3.47 .1944 2 0.91 3.88 .1945 2 0.91 3.47 .1946 1 0.91 3.56 .1947 2 0.91 3.57 .1948 2 0.91 3.59 .1949 1 0.91 3.62 .1950 3 0.91 3.61 .1951 2 0.91 3.80 .1952 1 0.92 3.89 .1953 2 0.92 3.72 .1954 1 0.92 3.93 .1955 3 0.92 3.76 .1956 3 0.92 3.68 .1957 1 0.92 3.91 .1958 2 0.92 4.05 .1959 2 0.92 3.88 .1960 2 0.92 4.31 .1961 2 0.92 3.94 .1962 1 0.92 3.89 .1963 1 0.92 4.13 .1964 2 0.92 3.91 .1965 2 0.92 3.88 .1966 3 0.92 3.82 .1967 3 0.92 3.99 .1968 4 0.92 4.05 .1969 2 0.92 3.97 .1970 3 0.92 3.80 .1971 4 0.92 3.91 .1972 2 0.92 3.94 .1973 1 0.92 4.03 .1974 1 0.92 3.65 .1975 1 0.92 3.86 .1976 3 0.92 3.90 .1977 3 0.92 3.71 .1978 4 0.92 3.92 .1979 3 0.92 3.92 .1980 4 0.92 3.77 .1981 2 0.92 3.63 .1982 1 0.92 3.54 .1983 1 0.92 3.66 .1984 2 0.92 3.85 .1985 2 0.92 3.81 .1986 2 0.92 3.75 .1987 2 0.92 3.83 .1988 2 0.92 3.85 .1989 1 0.92 3.72 .1990 2 0.92 3.86 .1991 2 0.92 3.83 .1992 1 0.92 3.65 .1993 1 0.92 3.77 .1994 2 0.92 3.71 .1995 1 0.92 3.69 .1996 3 0.92 4.00 .1997 2 0.92 3.96 .1998 3 0.92 3.85 .1999 1 0.92 3.85 .2000 2 0.92 3.89 .2001 2 0.92 3.59 .2002 1 0.92 3.74 .2003 1 0.92 3.79 .2004 2 0.92 3.92 .2005 2 0.92 3.90 .2006 2 0.92 3.74 .2007 2 0.92 3.85 .2008 1 0.92 3.88 .2009 1 0.92 3.83 .2010 2 0.92 4.00 .2011 1 0.92 3.92 .2012 2 0.92 3.73 .2013 2 0.92 3.84 .2014 1 0.92 3.88 .2015 3 0.92 3.85 .2016 2 0.92 4.02 .2017 3 0.92 3.94 .2018 2 0.92 3.90 .2019 2 0.92 4.34 .2020 2 0.92 4.31 .2021 3 0.92 3.95 .2022 3 0.92 4.12 .2023 2 0.92 3.80 .2024 1 0.92 3.89 .2025 1 0.92 3.52 .2026 1 0.92 3.59 .2027 3 0.92 3.59 .2028 3 0.92 3.71 .2029 1 0.92 3.87 .2030 2 0.92 3.79 .2031 2 0.92 3.86 .2032 2 0.92 3.82 .2033 2 0.92 4.13 .2034 2 0.92 3.78 .2035 2 0.92 3.68 .2036 3 0.92 3.78 .2037 3 0.92 3.95 .2038 3 0.92 3.86 .2039 2 0.92 3.88 .2040 2 0.92 3.96 .2041 3 0.92 3.89 .2042 2 0.92 3.89 .2043 2 0.92 3.81 .2044 2 0.92 3.97 .2045 3 0.92 4.03 .2046 3 0.92 4.03 .2047 3 0.92 3.84 EXTRACT_IMAGE: sdR-r1-00034588.fit: masked 2649 pixels DIVIDEFLAT: sdR-r1-00034588.fit: Warning: Reject 234 low points in trace 45 DIVIDEFLAT: sdR-r1-00034588.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034588.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034588.fit: Warning: Reject 542 low points in trace 173 DIVIDEFLAT: sdR-r1-00034588.fit: Warning: Reject 671 low points in trace 174 DIVIDEFLAT: sdR-r1-00034588.fit: Warning: Reject 1075 low points in trace 249 DIVIDEFLAT: sdR-r1-00034588.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034588.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034588.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034588.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034588.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034588.fit: WARNING: sky shift reference line, sigma 7794.1200 0.058338948 LOCATESKYLINES_2: sdR-r1-00034588.fit: sky shift reference line, offset: 7794.1200 0.0074433851 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 8 3.8856189 -17.527942 0.13464005 0.94349366 1631.8181 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 17 3.4199781 -313.72075 0.12590215 1.0239211 1621.2394 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 28 6.7772607 -276.73492 0.094272622 1.0222229 1547.2219 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 32 4.3442433 -263.25211 0.11806849 0.94098061 1639.1576 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 43 5.1405890 -127.76330 0.064125038 0.95743712 1688.3970 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 44 6.7094590 -126.65323 0.10859008 0.91560747 1748.5530 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 70 7.0805230 6.4169143 0.060226518 1.0147687 1602.1946 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 78 6.7866364 10.114744 0.086495956 0.98508416 1592.7357 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 89 3.3413997 14.843914 0.089356135 1.0426683 1630.7148 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 95 2.8615944 90.230331 0.090717620 0.93982155 1592.8102 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 101 4.8234438 123.06519 0.10641590 0.98208109 1564.2127 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 123 9.1464697 53.672039 0.084571073 1.0224138 1632.3977 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 124 3.9640225 70.640120 0.097340760 0.91226472 1785.4897 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 126 4.0325414 120.52019 0.040529949 1.0133593 1678.9538 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 134 4.8210408 103.45528 0.053472687 1.0174795 1619.1117 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 156 7.8225617 151.04982 0.034061282 1.0139779 1565.0558 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 203 1.8668566 28.775256 0.053497258 1.0485200 1613.1628 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 216 3.6243771 78.981669 0.042519789 0.98642091 1590.9024 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 218 7.1949766 57.333819 0.064620851 0.96082397 1541.9664 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 245 2.6847778 30.464897 0.070125981 0.95543773 1725.8770 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 255 6.0504736 5.6785484 0.091248433 0.95507666 1652.4058 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 262 3.8572603 -18.994681 0.081147101 1.0067035 1588.8688 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 267 3.0482176 -194.25236 0.073790411 1.0029288 1552.2580 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 273 6.2898392 -208.23198 0.079423332 0.93086182 1651.4417 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 283 4.5190127 -187.64444 0.10040912 1.0125750 1606.7250 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 289 5.8803298 -113.54977 0.043835449 1.0356000 1553.7934 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 311 7.8011821 -140.81226 0.069988709 0.97669306 1554.0886 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 314 5.7286129 -43.759773 0.10927508 1.0289223 1561.5088 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 0 317 3.6209330 -6.9232502 0.096464081 1.0230744 1606.8801 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 0 3.4264887 0.00041244683 0.080713498 0.98637102 0.99855191 LOCATESKYLINES_2: sdR-r1-00034588.fit: sigma-clipped to 257 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034588.fit: comb2 l,chi^2/dof,fit: 0 3.1527861 -0.00029102174 0.083118163 0.98690252 0.99785468 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 257 of 261 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.0905620.0831180.005178 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 8 3.4563372 30.828822 0.14229368 0.95565272 672.71252 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 17 1.4653457 -238.79553 0.23765394 0.93950837 716.15503 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 28 2.3590566 -234.51775 0.10400202 0.94972269 731.63571 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 32 4.2280264 -285.49579 0.12263436 0.99309653 691.54433 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 43 0.33462801 -127.52341 0.061782976 0.95378396 785.30060 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 44 3.1247243 -111.78085 0.0013336625 0.77351675 1268.0703 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 70 2.5372058 42.180781 0.037124144 0.94294925 699.33778 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 78 2.3214593 28.470741 0.12054818 0.97650476 698.24173 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 89 1.7902024 79.261413 0.12373090 0.97067841 695.47603 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 95 1.9877830 71.591166 0.085087766 1.0107768 706.62809 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 101 1.6446551 139.07888 0.024971162 0.96011736 669.30493 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 123 2.0434506 86.156934 0.093473945 0.94757693 680.35362 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 124 1.2996344 77.954174 0.062656432 1.0241279 686.77415 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 126 2.1495764 163.99668 0.15774838 0.94746567 731.16842 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 134 6.0701834 126.22990 0.028208329 1.0566750 699.65201 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 156 2.4547491 187.04427 0.11588626 1.0493157 598.50425 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 203 1.9632191 38.615920 0.13397236 0.99952194 637.36781 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 216 1.3251372 103.19195 0.036012093 0.98068931 714.04606 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 218 1.5349019 51.915412 0.075530151 0.94207221 722.88537 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 245 0.83794976 85.608677 0.074299155 0.98558776 695.21121 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 255 2.3782629 -9.0876391 0.16723483 0.99214834 778.66531 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 262 0.80599575 11.684842 0.078237210 0.94882469 643.06848 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 267 2.6329498 -203.35735 0.078816616 1.0560816 626.21728 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 273 1.9794649 -195.46398 0.036242028 1.0610841 644.75473 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 283 2.7550115 -139.05402 0.010811085 0.97525320 662.75950 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 289 4.1562510 -87.506908 0.097398120 0.97193191 609.86652 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 311 2.5237040 -127.44132 0.16930811 1.0255905 643.34964 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 314 3.6087471 8.3948764 0.20314240 0.92592034 685.15440 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 1 317 1.5035654 -12.167433 0.067190774 1.1842817 617.82824 LOCATESKYLINES_2: sdR-r1-00034588.fit: trimmed 1high points: 0.83731166 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 1 1.8544573 0.00014955875 0.091014402 0.97111200 0.99157226 LOCATESKYLINES_2: sdR-r1-00034588.fit: sigma-clipped to 257 of 260 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034588.fit: comb2 l,chi^2/dof,fit: 1 1.5059212 -0.0010791755 0.097295451 0.99181508 0.98751313 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 257 of 260 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.1047390.0972950.010936 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 8 2.4213833 -138.48814 -1.0000000 2.0000000 155.10609 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -369.05292 0.0000000 1.0000000 -191.83029 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 28 -0.25000000 -406.94894 0.0000000 1.0000000 -161.63991 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -377.00436 0.0000000 1.0000000 -241.99883 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 43 -0.25000000 -254.94153 0.0000000 1.0000000 -42.549973 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 44 1.7069223 -194.17177 0.23964986 0.76049744 214.62585 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 70 3.2206804 41.396365 -0.21993549 0.60000000 147.98140 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 78 1.9336575 -35.942201 -0.14048160 0.92070785 188.16151 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 89 1.3972415 37.640484 0.044850656 0.95351141 135.38858 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 95 0.92511785 34.571979 0.072719191 0.93582835 141.31383 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 101 1.5908684 95.294362 -0.014794610 1.0691047 154.69590 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 123 0.29977532 51.340289 -0.18629067 1.6229636 94.664714 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 124 2.5890538 29.566102 0.10411233 0.95520609 208.70047 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 126 1.0781086 92.380108 0.11210340 0.78489699 198.14375 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 134 0.57045800 88.599596 -0.25760466 0.80198430 166.07264 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 156 1.0055243 183.25373 -0.65787903 0.60000000 114.16597 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 203 1.5896902 17.896878 -0.081755989 1.0987112 124.31635 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 216 1.8869495 50.775444 0.0067365373 0.89694162 143.95982 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 218 1.3430579 18.884316 -0.28817760 0.60000000 144.89032 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 245 1.2911745 29.598311 -0.011021457 0.82464495 173.00117 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 255 3.6755738 -11.510985 -0.18907196 0.73452826 146.08529 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 262 1.5932737 -26.448298 -0.032928395 0.84679216 138.70332 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 267 493.27092 -119.85320 -0.0021019274 0.97577032 0.0000000 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 273 -0.25000000 -290.57727 0.0000000 1.0000000 -96.508743 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 283 -0.25000000 -228.31342 0.0000000 1.0000000 -23.231167 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 289 6.1095124 -142.58357 -1.0000000 2.0000000 134.30346 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 311 1.3375697 -108.71064 -0.51291710 0.75825740 120.05101 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 314 2.7532679 6.6137530 -0.31331316 0.80132609 139.29418 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 2 317 2.3751614 -32.941558 -1.0000000 2.0000000 164.75938 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 2 0.60452097 7.2387988e-05 -0.028436550 0.93168347 0.95874007 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 144 of 144 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: -0.020993-0.0284370.053736 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 8 1.0929889 -184.52947 0.18870495 0.92521965 248.75875 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 17 -0.25000000 -376.92917 0.0000000 1.0000000 -94.599663 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 28 -0.25000000 -327.49020 0.0000000 1.0000000 -96.561569 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 32 -0.25000000 -382.21866 0.0000000 1.0000000 -98.230446 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 43 0.46844688 -169.62198 0.30167157 0.87306306 551.27643 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 44 1.1876731 -195.35608 0.28128223 1.1051153 249.27578 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 70 1.6684733 -1.2815197 -0.032329931 0.94802440 277.91682 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 78 1.2107562 -66.369706 -0.010737215 0.82405404 336.76688 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 89 1.1352512 47.651165 -0.019975269 0.73817614 230.63084 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 95 1.5731735 -31.129541 0.43343680 1.1055435 268.75086 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 101 1.4906928 70.222786 0.26046880 0.98338233 238.07421 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 123 0.51731959 13.207537 0.11790553 1.1868757 258.95785 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 124 1.1842726 25.663908 0.10204365 0.61272925 287.02517 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 126 1.9654521 69.651361 0.28219059 0.97312749 251.39564 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 134 0.36647688 48.303642 0.084356768 0.97081883 272.12330 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 156 1.5083039 174.90846 0.14791034 1.0654901 219.70123 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 203 0.25387194 18.488169 0.022293909 0.82945630 226.90480 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 216 1.1494390 36.799111 0.16661742 1.0428859 289.25395 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 218 1.1449240 25.437968 -0.062644668 0.60000000 291.89260 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 245 0.13560884 47.374423 -0.17079918 1.1304880 124.84220 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 255 1.4325716 -18.543585 -0.076476438 1.0318712 196.37249 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 262 0.62358717 -59.590636 -0.024809287 0.99592396 320.68288 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 267 -0.25000000 -256.10400 0.0000000 1.0000000 -8.5400114 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 273 0.72783374 -222.16392 0.29254755 0.77925295 252.54065 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 283 0.40866575 -169.77057 0.12496073 0.85738825 282.03260 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 289 0.73830666 -147.72580 0.18971400 1.0826284 230.98596 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 311 1.4563402 -94.378517 0.33791452 1.0546780 252.02190 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 314 1.6592660 40.778674 0.12508601 1.1891188 257.93411 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 3 317 2.2223361 37.508948 0.30606590 0.91601180 189.52912 LOCATESKYLINES_2: sdR-r1-00034588.fit: trimmed 1high points: 0.0000000 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 3 0.74316311 0.0018318531 0.16539196 0.96250859 0.97347605 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 216 of 216 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.1728350.1653920.028627 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 8 0.20402291 -155.03427 0.063738677 0.92613691 319.93242 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 17 -0.25000000 -368.98853 0.0000000 1.0000000 -25.505287 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 28 1.1388651 -280.48088 0.17273609 1.2121071 312.22686 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 32 -0.25000000 -358.43948 0.0000000 1.0000000 -27.944204 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 43 0.87428073 -150.25003 0.42141236 0.90513355 282.51073 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 44 2.9823880 -185.84576 0.37714241 1.0185561 277.93060 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 70 2.0786230 28.022862 -0.064774541 0.85530751 302.77578 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 78 1.8164797 -20.600283 0.022532759 1.0041084 283.14264 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 89 1.7039845 65.502187 0.15650015 0.82357616 266.29249 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 95 0.26349618 30.160748 0.25062228 0.69101193 249.71760 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 101 2.5377428 99.002543 0.083660853 1.0557179 277.62280 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 123 0.95488208 33.674540 0.037367965 0.82029292 324.30853 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 124 0.59793634 51.175118 0.11381556 0.81111307 276.47167 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 126 2.5421748 105.81950 -0.081287448 0.85869897 291.07677 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 134 1.1046147 44.320613 -0.21121482 1.1091770 289.16175 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 156 2.1295622 183.34726 0.29464314 0.95919740 248.58671 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 203 1.1054862 28.232215 0.075253628 0.86492471 322.87320 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 216 1.4446225 70.707540 0.11309828 0.85297186 305.55757 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 218 0.87666868 39.652014 0.34892192 1.0635860 266.07363 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 245 0.68702688 33.188137 -0.10900367 0.73826334 307.69783 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 255 0.18003753 -36.762826 -0.089381675 0.83117490 366.77438 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 262 0.97486423 -14.341476 0.16337896 1.1402388 261.76396 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 267 0.063478436 -175.17363 -0.036125004 0.92295327 264.73401 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 273 0.97734936 -194.30999 -0.032651648 1.0518210 223.68832 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 283 1.8364068 -122.03265 0.058494302 0.87717209 230.01642 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 289 0.98474362 -116.99654 0.31542111 1.0424952 263.58295 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 311 1.3738303 -32.530500 0.12118391 0.60000000 252.50867 LOCATESKYLINES_2: sdR-r1-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 314 0.23970645 71.178873 0.19203405 1.1788785 254.95310 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 4 317 0.89829066 69.481362 0.092912304 0.72391990 261.34433 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 4 0.89605010 0.0029121527 0.094395590 0.93772288 0.97258179 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 234 of 234 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.1018390.0943960.026681 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 8 2.9500142 -107.83992 0.22791583 0.95237179 348.95917 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 17 1.1599770 -190.73520 0.29798562 0.84234766 415.57641 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 28 1.2104182 -139.74940 0.32000875 0.97829862 391.11897 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 32 0.89969054 -240.97681 0.12960444 1.1568755 426.10981 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 43 1.8773581 -105.50945 0.39161246 1.0689080 452.65996 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 44 0.52098763 -101.45479 0.33684536 0.90347278 520.56521 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 70 1.0576814 33.861012 0.14848392 0.85055485 445.19552 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 78 1.9257998 -19.523057 -0.010373238 1.1150102 487.94485 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 89 0.32230249 94.339661 0.18031472 0.92227292 400.50376 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 95 1.9396370 41.519731 0.14189764 0.94269535 364.19675 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 101 1.4400961 99.037553 0.27080397 0.96354138 458.04305 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 123 0.72244656 114.44582 0.35267046 0.95648573 472.68493 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 124 3.5551690 10.827940 0.15499108 1.1933023 552.97627 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 126 2.1789425 79.908141 0.10035028 1.1741082 447.26905 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 134 1.3595407 74.414378 0.064400995 1.1940124 410.42348 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 156 1.7382937 172.94913 0.089551933 0.97769376 434.98745 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 203 0.56960458 79.479881 0.041277326 1.0506873 350.60601 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 216 0.13704267 136.40798 1.6174035e-05 0.78550635 433.50803 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 218 1.1704735 53.224699 0.32990384 1.1072022 456.84867 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 245 1.6330640 70.131309 0.18535579 1.0532274 439.56425 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 255 2.4546650 -1.6520427 0.23001501 0.92143851 436.22432 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 262 1.4459594 17.778568 0.00040214751 0.99648608 429.38615 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 267 2.2702032 -110.74401 -0.052242802 1.1176783 270.92825 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 273 0.75189311 -138.61899 0.19051973 0.94708874 345.65517 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 283 0.32473934 -70.137547 0.055873229 0.95572912 469.24638 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 289 1.0196700 -110.30458 -0.22390021 1.4042518 381.41361 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 311 0.43995563 16.120830 -0.044417648 1.0241836 439.54361 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 314 1.1879838 104.45855 0.29620148 0.97984213 377.87860 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 5 317 0.80277555 35.615924 0.28499177 1.0426474 437.57092 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 5 1.1792766 0.0048338302 0.16936741 1.0129884 0.98499737 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.1768110.1693670.019155 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 8 1.9164346 -260.12333 -0.0085724807 1.0355038 824.97022 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 17 1.5068124 -311.95014 0.21291911 1.0924018 706.41607 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 28 0.68149058 -310.16990 0.13776824 0.90652404 730.49131 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 32 3.2567269 -338.54951 0.10190332 0.97908682 722.79608 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 43 2.4963075 -142.32364 0.12115202 1.0118371 739.80728 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 44 4.3200086 -159.47913 0.084837702 0.93670071 886.67157 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 70 1.3433418 0.95377154 0.00052184460 0.84728063 801.83403 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 78 0.40333867 31.072140 0.099468339 0.96648535 813.87432 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 89 1.3146630 49.839886 0.15954179 0.87398688 957.74496 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 95 0.49930382 -25.705741 0.16554189 0.83810225 848.77727 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 101 2.0116317 37.671383 -0.021288169 1.0963789 784.12075 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 123 0.81741068 101.26761 0.044065105 0.94675096 768.46613 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 124 1.2202753 114.26303 0.13905798 0.80135148 894.86937 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 126 0.88376108 83.164438 0.10879652 1.0803819 732.51851 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 134 1.4816341 60.096469 -0.12234158 1.1691638 761.03416 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 156 0.84717265 177.63212 0.063405241 1.0041057 733.68032 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 203 2.1223166 26.085521 0.025690134 0.97112832 760.90093 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 216 0.65801220 54.470142 0.077062273 0.95717022 813.03564 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 218 2.4938557 23.726830 -0.022773345 0.89001112 865.18048 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 245 0.56027521 22.210226 0.16953489 0.96987700 828.56654 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 255 1.4388102 8.6605170 0.15896930 0.83001264 771.22841 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 262 1.3655780 -40.956498 0.099541788 1.1443460 608.13494 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 267 0.89338318 -190.75424 0.077551808 0.88976214 801.98382 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 273 1.1432846 -160.69896 -0.011111396 0.98852070 743.01769 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 283 1.2470151 -101.60824 0.12105269 0.87470332 885.08854 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 289 0.78014563 -107.07253 0.011772687 0.92587519 813.66123 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 311 2.3259639 -75.820597 0.075574602 1.0613339 770.59067 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 314 1.6041433 38.746964 -0.060671561 0.85917850 825.27828 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 6 317 1.1328946 30.415144 0.15013621 0.91489340 786.34672 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 6 1.4410603 0.0021584860 0.072533987 0.95047868 0.99120176 LOCATESKYLINES_2: sdR-r1-00034588.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034588.fit: comb2 l,chi^2/dof,fit: 6 1.3718353 0.0026548458 0.077439421 0.94530849 0.99174384 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.0848830.0774390.011301 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 8 0.66387966 -174.30585 0.15402105 0.91464473 977.74306 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 17 1.7127229 -367.97676 0.053243297 1.1944079 911.12634 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 28 4.1752433 -309.51917 0.14648848 0.90856380 925.10165 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 32 1.2021418 -414.27646 0.060990273 1.1151177 1029.1652 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 43 1.0829319 -181.65563 0.023779192 1.0085829 1035.9154 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 44 1.6466716 -108.52105 0.11036788 0.99371912 867.43014 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 70 0.44434879 -11.553643 0.15966369 0.95587090 984.68326 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 78 2.4218771 81.705767 0.13111578 0.88837272 912.16131 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 89 2.4940482 82.100267 0.17381459 0.81034763 1022.7706 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 95 3.8355456 -30.974463 0.13584093 0.93937768 929.68784 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 101 2.4636355 74.025831 0.099915513 0.94615664 963.14821 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 123 1.4022904 117.28419 0.058264634 0.88700614 1031.2563 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 124 2.0285556 82.733433 0.056380753 0.81524762 1124.0893 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 126 0.52733427 60.104048 0.032752583 0.95625349 1071.0002 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 134 0.75040424 -43.202942 0.029066790 1.0570496 947.81220 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 156 2.4990224 158.89735 0.061296270 0.95772204 969.61078 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 203 4.5895581 -54.829571 0.022797960 1.0501086 975.17694 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 216 0.67102034 45.460205 0.0013707164 0.97446215 955.95079 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 218 0.48019209 2.4802397 0.023424686 0.98505939 997.89661 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 245 0.88983514 58.748085 0.032697536 0.90792321 1019.7587 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 255 4.0263319 -66.292312 0.099030457 1.0007755 1039.5125 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 262 2.1033818 -29.340464 0.16564917 0.79857178 1019.4129 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 267 4.8411813 -231.60543 0.095698186 0.97646682 963.00536 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 273 2.4856734 -238.78118 0.11611342 0.87883851 902.39176 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 283 1.5735592 -121.61926 0.089136549 0.88467417 989.61084 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 289 1.6769843 -115.64655 0.0076518691 0.94966727 980.46520 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 311 0.37510114 -32.757454 0.095798137 0.89976556 956.61189 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 314 0.44705405 24.645245 0.11191220 0.95323157 1001.4976 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 7 317 0.52277370 13.846287 0.14491479 0.95268452 1013.1919 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 7 1.6275155 0.0015461161 0.083793229 0.94429267 0.99470935 LOCATESKYLINES_2: sdR-r1-00034588.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034588.fit: comb2 l,chi^2/dof,fit: 7 1.5334240 0.0013515528 0.088513591 0.95006279 0.99335339 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.0959570.0885140.009412 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 8 2.0954825 -311.35225 0.22430433 0.99104359 1189.5310 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 17 0.34938152 -253.11529 0.11181955 0.88233593 1221.2474 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 28 1.4663905 -331.33955 0.24470559 0.93061011 1194.7886 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 32 2.5456773 -315.53626 0.10831706 0.95231907 1156.2507 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 43 1.0863423 -197.28266 0.14270021 0.91927693 1222.7412 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 44 0.91282276 -173.01215 0.10143037 0.96704557 1126.0006 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 70 0.35466086 -37.305909 0.093027438 0.85414215 1326.6179 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 78 0.53358822 -39.998604 0.12479113 0.92720020 1218.0029 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 89 2.4863758 -34.131339 0.13007781 0.93846089 1249.6373 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 95 0.51641361 -35.056976 0.14092796 0.82224949 1315.9087 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 101 2.0247863 31.329342 0.15049093 0.89137080 1238.7136 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 123 0.57268569 -0.37581128 0.16415191 0.90821427 1284.7709 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 124 0.92698612 26.746602 0.27124985 0.77287150 1399.2006 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 126 0.73050863 28.255212 0.14688588 0.84833457 1354.5159 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 134 1.1083025 -11.339741 0.10056813 1.0164826 1332.0350 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 156 1.1945834 93.135007 0.074865743 0.90529655 1172.4844 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 203 2.1416762 -82.216887 0.14978915 0.97924747 1338.1778 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 216 0.53034343 -92.287438 0.13447244 0.87789762 1314.1721 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 218 1.2711932 -56.551572 0.11640718 0.82666442 1340.4949 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 245 1.3352333 -26.436012 0.13806734 0.86864878 1320.3294 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 255 1.6698791 -113.81455 0.13701351 0.97765021 1224.4896 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 262 1.5598359 -134.75784 0.10027221 0.91073147 1258.7782 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 267 2.6927564 -248.33221 0.12627267 0.89121371 1183.5771 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 273 3.6775679 -338.59595 0.061885651 0.89962041 1296.7436 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 283 1.5399152 -168.47899 0.078886601 0.88880945 1261.5321 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 289 4.4077209 -174.38443 0.082960786 0.90753361 1299.3299 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 311 5.7584642 -235.16719 0.12322182 0.97798733 1296.1883 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 314 1.8689583 -106.27520 0.18757427 0.86148501 1241.1858 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 8 317 1.5195724 -71.899774 0.098504737 1.0031626 1173.9197 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 8 1.5572645 4.0908082e-05 0.13444448 0.90932050 0.99426373 LOCATESKYLINES_2: sdR-r1-00034588.fit: sigma-clipped to 259 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034588.fit: comb2 l,chi^2/dof,fit: 8 1.4173378 0.00035656995 0.12817064 0.90574026 0.99805413 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 259 of 261 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.1356140.1281710.007385 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 8 2.1773056 -280.07693 0.17367580 0.95105932 1300.3435 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 17 0.77529680 -251.57174 0.17124552 0.92920702 1414.8940 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 28 3.9954047 -315.09514 0.096780469 0.96837068 1260.2182 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 32 2.2071496 -311.58548 0.10358269 0.90781834 1347.9631 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 43 5.0627219 -194.11828 0.18586717 0.88543520 1315.5332 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 44 1.3007823 -102.92061 0.13033125 0.85683413 1353.3821 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 70 2.1334788 -33.434429 0.13621827 0.91347924 1382.2669 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 78 1.7964511 -36.333031 0.080662179 0.93816359 1355.0774 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 89 0.62255246 -12.191418 0.10594587 0.97656949 1348.2306 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 95 4.5309714 -96.095106 0.10993181 0.97345290 1483.6366 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 101 4.6276842 16.912164 0.12947686 0.91801928 1329.7374 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 123 2.1378318 28.912098 0.097544884 0.92821719 1337.7454 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 124 0.83712420 31.667459 0.13645975 0.88447884 1491.1021 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 126 0.57166835 81.732580 0.10387191 0.90721376 1322.0904 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 134 6.0916589 -44.725498 0.056044208 0.97622730 1408.1342 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 156 2.9665318 79.999412 0.11637367 0.91206001 1304.3521 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 203 3.4238863 -73.307614 0.080083509 0.88926349 1391.8496 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 216 2.8082627 -39.900428 0.10326853 0.99275695 1397.4393 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 218 1.3504172 -54.336774 0.17254044 0.90062712 1357.9009 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 245 4.8797640 -118.39011 0.10289374 1.0672203 1391.8620 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 255 2.1865743 -85.647623 0.17020749 0.93602198 1335.4622 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 262 0.98538422 -126.76324 0.22372234 0.79654433 1433.4354 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 267 1.0519503 -265.10000 0.088834151 0.95920173 1306.5985 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 273 0.71490030 -325.87405 0.12502775 1.0256818 1363.2896 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 283 3.1329310 -200.01214 0.011290268 0.89679141 1435.0619 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 289 0.82636623 -139.59712 0.064282891 0.86561869 1468.1065 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 311 4.2817864 -187.28723 0.11749735 0.92029480 1370.4387 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 314 5.3017199 -125.89218 0.080491945 0.93650759 1334.6479 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 9 317 2.6087945 -47.561374 0.099155903 0.93652268 1440.0323 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 9 1.9543562 0.00048567564 0.11562950 0.92857455 0.99695102 LOCATESKYLINES_2: sdR-r1-00034588.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034588.fit: comb2 l,chi^2/dof,fit: 9 1.8777530 0.00024090229 0.11253456 0.93154687 0.99673522 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.1199780.1125350.006981 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 8 1.1580682 -315.50537 0.20764723 0.88003975 1207.5102 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 17 1.1582725 -264.09585 0.24290964 0.93303230 1237.4857 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 28 2.1694197 -236.22010 0.16893576 0.88322543 1206.7594 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 32 0.18158414 -331.21147 0.10909530 1.0265952 1152.2391 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 43 0.88601856 -237.14281 0.17985646 0.90737003 1284.7077 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 44 1.0687418 -213.06928 0.15203318 0.82471915 1300.3743 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 70 1.4473615 -91.764950 0.099253479 0.89813649 1232.5931 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 78 1.5166486 -105.28632 0.16200086 0.99701000 1189.1545 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 89 1.2180953 -100.62146 0.17808036 0.89654477 1294.3200 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 95 0.82758452 -108.78931 0.17478175 0.87023581 1360.9651 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 101 2.0543867 -35.937350 0.16185751 0.89793703 1268.1606 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 123 3.5244237 -37.728266 0.17217994 0.88643230 1329.9280 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 124 1.3206067 -34.880767 0.20823570 0.91492648 1378.8277 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 126 2.5481531 12.475480 0.15472282 0.95462675 1238.7085 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 134 0.79167137 0.34785114 0.10481525 0.92935806 1286.1084 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 156 2.1968157 46.746293 0.18712945 0.86552668 1248.9558 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 203 3.3823400 -121.70261 0.17854153 0.85862697 1232.4468 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 216 2.1343972 -162.26192 0.10458306 0.96895469 1317.4541 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 218 2.2906816 -86.854311 0.16285755 0.90715505 1209.9549 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 245 1.5214322 -94.057610 0.13689347 0.93321640 1250.2486 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 255 0.42009852 -159.95418 0.14539656 0.93833150 1259.4392 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 262 1.1083298 -209.29568 0.19918748 0.81239788 1306.2185 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 267 1.1922658 -355.64492 0.17469752 0.96186377 1274.9335 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 273 3.5552985 -284.20830 0.24527008 0.84842244 1196.8471 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 283 1.6210103 -189.28838 0.15552425 0.83960295 1202.1084 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 289 2.9066467 -190.35458 0.13192324 0.92918692 1300.2542 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 311 3.3888396 -300.92113 0.22465016 0.98457653 1229.4840 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 314 2.2457273 -172.17396 0.18646933 0.92468000 1155.1226 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 10 317 4.0484150 -80.667163 0.16731836 0.91497373 1199.5666 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 10 1.4397097 0.00058772808 0.16716073 0.90674627 0.99817277 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.1746040.1671610.007132 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 8 0.86212011 -288.83697 0.20859248 0.92899088 1308.1215 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 17 0.66879176 -274.73071 0.24319968 0.94699637 1390.1924 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 28 2.4903214 -294.53196 0.15754422 0.97661909 1198.2044 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 32 2.3803379 -345.22991 0.13491840 0.88719039 1425.2979 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 43 1.7527249 -271.60465 0.10577757 0.92553169 1491.1034 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 44 0.89059691 -193.28456 0.13191119 0.90925858 1431.9818 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 70 3.2507151 -54.513309 0.075482577 0.88164035 1374.7270 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 78 1.9056363 -108.64925 0.17498015 0.86779820 1360.4118 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 89 2.4143356 -71.508144 0.12518782 0.90389227 1353.4549 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 95 1.4044257 -78.820767 0.15841365 0.86196649 1413.8878 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 101 6.1920672 -30.130288 0.16808964 0.88520846 1368.5709 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 123 0.46733134 -50.168568 0.15798065 0.90561010 1505.1455 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 124 1.8192190 -30.119800 0.21429533 0.85432147 1487.3352 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 126 0.92003286 -59.096767 0.17305778 0.99584658 1488.2953 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 134 2.3616723 -62.205089 0.19744951 0.92991838 1430.3067 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 156 2.3090241 66.427596 0.12055371 0.90505746 1376.4359 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 203 2.6962617 -102.79042 0.13454373 0.95456119 1300.9649 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 216 2.1686379 -154.17371 0.028265040 0.98256078 1429.5143 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 218 2.3178952 -140.75725 0.063826322 0.89955164 1390.6104 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 245 0.50284231 -70.464717 0.15133858 0.88412005 1450.6343 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 255 1.3753038 -147.57352 0.12102399 0.89238387 1292.5269 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 262 1.9287160 -225.44146 0.20472008 0.86755865 1437.1631 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 267 2.5579456 -338.85439 0.19501406 0.97317535 1369.8551 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 273 3.6190513 -276.59561 0.25638176 0.87162666 1356.1858 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 283 0.69523700 -235.77716 0.17491077 0.99444603 1291.1483 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 289 1.7709104 -205.15972 0.15437791 1.0099558 1328.6880 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 311 0.49092733 -252.93357 0.17199976 0.98224243 1329.4225 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 314 2.5710481 -146.28017 0.21006253 0.85245705 1461.9045 LOCATESKYLINES_2: sdR-r1-00034588.fit: l,f,chi^2/dof,c: 11 317 1.6096756 -77.015519 0.18359271 0.88832957 1329.6097 LOCATESKYLINES_2: sdR-r1-00034588.fit: comb1 l,chi^2/dof,fit: 11 1.6451294 0.00064144027 0.15589511 0.91180332 0.99775549 LOCATESKYLINES_2: sdR-r1-00034588.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034588.fit: offset, refoff, sigma: 0.1633380.1558950.006587 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 FITMEANX: sdR-r1-00034588.fit: In skyline number 0 std-dev is 0.029220427 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 1 std-dev is 0.035905138 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 2 std-dev is 0.11679881 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 3 std-dev is 0.10713241 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 4 std-dev is 0.10259052 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 5 std-dev is 0.12873806 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 6 std-dev is 0.079962968 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 7 std-dev is 0.058169728 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 8 std-dev is 0.038440313 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 9 std-dev is 0.042171803 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 10 std-dev is 0.041351620 pix FITMEANX: sdR-r1-00034588.fit: In skyline number 11 std-dev is 0.061499519 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 6300.3040 coadded std-dev is 0.00517799 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 6363.7760 coadded std-dev is 0.0109358 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 6553.6100 coadded std-dev is 0.0537360 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 6923.2100 coadded std-dev is 0.0286270 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 6949.0300 coadded std-dev is 0.0266814 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 7571.7500 coadded std-dev is 0.0191551 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 7794.1200 coadded std-dev is 0.0113007 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 7821.5100 coadded std-dev is 0.00941229 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 8399.1600 coadded std-dev is 0.00738546 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 8430.1700 coadded std-dev is 0.00698066 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 8885.8300 coadded std-dev is 0.00713151 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: In sky feature at 8919.6100 coadded std-dev is 0.00658734 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034588.fit: Median arc shift = 0.10415959 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: Dispersion in arc shift = 0.018690422 pix LOCATESKYLINES_2: sdR-r1-00034588.fit: Maximum sky-line shift is 0.18180041 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Number of sky fibers = 23 ROW NITER SIG(med) CHI^2 .0000 12 0.82 5.37 .0001 7 0.82 4.73 .0002 4 0.82 4.83 .0003 4 0.82 4.25 .0004 5 0.82 5.11 .0005 5 0.82 4.31 .0006 5 0.82 5.11 .0007 12 0.82 8.11 .0008 1 0.82 0.72 .0009 4 0.82 5.40 .0010 6 0.82 2.91 .0011 6 0.82 4.74 .0012 6 0.82 5.04 .0013 5 0.82 4.34 .0014 5 0.82 4.89 .0015 6 0.82 1.75 .0016 3 0.82 4.26 .0017 1 0.82 0.59 .0018 10 0.82 7.60 .0019 9 0.82 6.41 .0020 4 0.82 4.46 .0021 5 0.82 5.13 .0022 5 0.82 4.75 .0023 5 0.82 5.54 .0024 9 0.82 6.37 .0025 5 0.82 4.76 .0026 5 0.82 3.48 .0027 5 0.82 4.70 .0028 1 0.82 0.66 .0029 12 0.82 5.67 .0030 6 0.82 5.28 .0031 6 0.82 2.80 .0032 1 0.82 0.60 .0033 7 0.82 5.80 .0034 4 0.82 3.96 .0035 7 0.82 5.37 .0036 11 0.82 8.74 .0037 4 0.82 5.00 .0038 7 0.82 5.65 .0039 4 0.82 4.15 .0040 4 0.81 5.88 .0041 4 0.81 4.49 .0042 5 0.81 6.23 .0043 1 0.81 0.67 .0044 1 0.81 0.70 .0045 8 0.81 4.02 .0046 6 0.81 4.98 .0047 5 0.81 5.95 .0048 5 0.81 4.45 .0049 6 0.81 3.79 .0050 4 0.81 4.61 .0051 4 0.81 5.07 .0052 4 0.81 4.92 .0053 5 0.81 6.50 .0054 6 0.81 5.18 .0055 6 0.81 5.35 .0056 5 0.81 5.07 .0057 4 0.81 4.38 .0058 7 0.81 5.48 .0059 5 0.81 5.22 .0060 3 0.80 1.51 .0061 2 0.80 0.93 .0062 2 0.80 0.90 .0063 1 0.80 1.14 .0064 2 0.80 1.26 .0065 1 0.80 0.77 .0066 6 0.80 6.46 .0067 1 0.80 0.91 .0068 1 0.80 0.93 .0069 1 0.80 1.18 .0070 2 0.80 0.73 .0071 7 0.80 6.95 .0072 1 0.80 0.86 .0073 1 0.80 1.25 .0074 1 0.80 0.78 .0075 1 0.80 1.57 .0076 6 0.80 4.97 .0077 7 0.80 6.61 .0078 2 0.80 0.78 .0079 6 0.80 6.56 .0080 5 0.83 5.84 .0081 5 0.83 5.51 .0082 5 0.83 4.24 .0083 5 0.83 6.52 .0084 8 0.83 6.53 .0085 6 0.83 4.55 .0086 4 0.83 6.21 .0087 4 0.83 4.40 .0088 6 0.83 4.93 .0089 2 0.83 0.67 .0090 0 0.83 0.00 .0091 3 0.83 0.68 .0092 6 0.83 3.09 .0093 5 0.83 6.30 .0094 13 0.83 6.82 .0095 1 0.83 0.65 .0096 5 0.83 4.79 .0097 5 0.83 4.54 .0098 4 0.83 2.69 .0099 7 0.83 6.30 .0100 2 0.79 1.05 .0101 2 0.79 0.89 .0102 2 0.79 0.91 .0103 2 0.79 0.96 .0104 2 0.79 0.88 .0105 2 0.79 0.91 .0106 1 0.79 1.42 .0107 1 0.79 1.36 .0108 2 0.79 1.60 .0109 1 0.79 0.94 .0110 2 0.79 0.92 .0111 2 0.79 0.87 .0112 1 0.79 1.14 .0113 2 0.79 1.17 .0114 1 0.79 1.15 .0115 3 0.79 0.94 .0116 1 0.79 0.99 .0117 1 0.79 1.49 .0118 1 0.79 1.11 .0119 1 0.79 0.86 .0120 7 0.77 7.08 .0121 8 0.77 7.18 .0122 4 0.77 4.66 .0123 3 0.77 0.74 .0124 2 0.77 0.79 .0125 9 0.77 7.87 .0126 3 0.77 0.67 .0127 6 0.77 5.25 .0128 5 0.77 6.26 .0129 8 0.77 4.27 .0130 5 0.77 6.47 .0131 3 0.77 5.84 .0132 3 0.77 4.91 .0133 11 0.77 8.78 .0134 1 0.77 0.73 .0135 7 0.77 6.50 .0136 6 0.77 6.26 .0137 12 0.77 8.40 .0138 7 0.77 7.33 .0139 7 0.77 8.30 .0140 2 0.79 0.85 .0141 2 0.79 1.23 .0142 1 0.79 0.80 .0143 3 0.79 0.74 .0144 3 0.79 0.89 .0145 1 0.79 0.99 .0146 1 0.79 1.05 .0147 1 0.79 1.50 .0148 3 0.79 0.82 .0149 6 0.79 5.15 .0150 2 0.79 0.90 .0151 1 0.79 1.13 .0152 1 0.79 1.33 .0153 1 0.79 1.35 .0154 3 0.79 0.86 .0155 2 0.79 0.88 .0156 3 0.79 0.93 .0157 2 0.79 1.11 .0158 3 0.79 1.01 .0159 3 0.79 1.24 .0160 3 0.80 1.04 .0161 2 0.80 0.91 .0162 1 0.80 1.16 .0163 2 0.80 1.09 .0164 2 0.80 1.04 .0165 4 0.80 1.06 .0166 2 0.80 1.10 .0167 5 0.80 0.72 .0168 2 0.80 1.42 .0169 3 0.80 1.05 .0170 6 0.80 0.93 .0171 1 0.80 1.18 .0172 4 0.80 0.80 .0173 3 0.80 0.43 .0174 2 0.80 0.69 .0175 2 0.80 1.33 .0176 3 0.80 0.89 .0177 4 0.80 0.84 .0178 2 0.80 0.98 .0179 3 0.80 1.21 .0180 4 0.80 6.05 .0181 4 0.80 1.43 .0182 2 0.80 0.85 .0183 2 0.80 0.91 .0184 2 0.80 1.12 .0185 1 0.80 1.17 .0186 2 0.80 0.99 .0187 1 0.80 0.90 .0188 1 0.80 0.91 .0189 3 0.80 0.78 .0190 2 0.80 0.96 .0191 1 0.80 0.85 .0192 1 0.80 0.87 .0193 2 0.80 1.18 .0194 3 0.80 4.06 .0195 1 0.80 0.79 .0196 2 0.80 0.72 .0197 7 0.80 3.79 .0198 1 0.80 0.95 .0199 2 0.80 1.60 .0200 5 0.80 5.34 .0201 3 0.80 5.38 .0202 6 0.80 6.11 .0203 1 0.80 0.71 .0204 5 0.80 4.86 .0205 6 0.80 5.39 .0206 4 0.80 4.29 .0207 3 0.80 5.36 .0208 4 0.80 4.54 .0209 6 0.80 6.37 .0210 7 0.80 6.85 .0211 11 0.80 9.67 .0212 6 0.80 5.58 .0213 6 0.80 5.28 .0214 4 0.80 4.48 .0215 6 0.80 3.35 .0216 1 0.80 0.64 .0217 9 0.80 8.02 .0218 1 0.80 0.65 .0219 8 0.80 7.29 .0220 6 0.80 6.47 .0221 1 0.80 1.11 .0222 4 0.80 5.14 .0223 1 0.80 0.75 .0224 10 0.80 6.21 .0225 4 0.80 4.46 .0226 5 0.80 6.53 .0227 5 0.80 5.40 .0228 12 0.80 8.14 .0229 2 0.80 1.43 .0230 1 0.80 0.93 .0231 8 0.80 6.64 .0232 2 0.80 1.00 .0233 1 0.80 1.07 .0234 2 0.80 0.80 .0235 1 0.80 0.84 .0236 2 0.80 0.92 .0237 1 0.80 0.75 .0238 2 0.80 0.91 .0239 2 0.80 1.47 .0240 6 0.80 4.91 .0241 12 0.80 6.66 .0242 3 0.80 5.24 .0243 6 0.80 6.08 .0244 6 0.80 5.11 .0245 1 0.80 0.71 .0246 5 0.80 5.00 .0247 4 0.80 4.42 .0248 3 0.80 4.07 choldc failed 28 .0249 1 0.80 917.73 .0250 6 0.80 5.52 .0251 0 0.80 0.00 .0252 6 0.80 5.90 .0253 12 0.80 6.78 .0254 4 0.80 4.88 .0255 1 0.80 0.76 .0256 3 0.80 4.00 .0257 7 0.80 6.86 .0258 5 0.80 5.47 .0259 4 0.80 5.47 .0260 6 0.79 7.47 .0261 4 0.79 5.14 .0262 1 0.79 0.56 .0263 5 0.79 4.86 .0264 14 0.79 7.83 .0265 11 0.79 7.28 .0266 8 0.79 1.76 .0267 2 0.79 0.53 .0268 7 0.79 5.27 .0269 6 0.79 5.77 .0270 6 0.79 4.75 .0271 6 0.79 6.55 .0272 10 0.79 6.68 .0273 1 0.79 0.75 .0274 6 0.79 7.54 .0275 7 0.79 6.20 .0276 12 0.79 7.43 .0277 4 0.79 4.40 .0278 4 0.79 5.53 .0279 5 0.79 4.60 .0280 4 0.83 4.84 .0281 6 0.83 4.72 .0282 6 0.83 5.46 .0283 3 0.83 0.60 .0284 7 0.83 5.13 .0285 7 0.83 5.20 .0286 7 0.83 3.59 .0287 5 0.83 5.10 .0288 7 0.83 5.66 .0289 3 0.83 0.66 .0290 16 0.83 5.14 .0291 5 0.83 5.95 .0292 3 0.83 3.73 .0293 7 0.83 5.88 .0294 0 0.83 0.00 .0295 8 0.83 7.83 .0296 5 0.83 4.76 .0297 8 0.83 6.70 .0298 3 0.83 4.29 .0299 3 0.83 3.66 .0300 7 0.84 4.49 .0301 3 0.84 3.27 .0302 4 0.84 4.15 .0303 12 0.84 9.92 .0304 5 0.84 3.94 .0305 6 0.84 5.00 .0306 3 0.84 3.53 .0307 8 0.84 5.60 .0308 8 0.84 3.59 .0309 7 0.84 5.20 .0310 9 0.84 6.30 .0311 1 0.84 0.70 .0312 4 0.84 4.38 .0313 11 0.84 6.71 .0314 3 0.84 0.64 .0315 9 0.84 7.43 .0316 9 0.84 6.26 .0317 4 0.84 0.71 .0318 6 0.84 5.55 .0319 4 0.84 4.23 EXTRACT_IMAGE: sdR-r1-00034588.fit: masked 1181 pixels SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 0 median sigma(arc)= 0.87531954 sigma(sky)= -7345.5833 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 0 sigma^2(add)= 53957593. +/- 41391751. SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 1 median sigma(arc)= 0.86891029 sigma(sky)= 1.4885904 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 1 sigma^2(add)= 1.4628935 +/- 0.092897213 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 2 median sigma(arc)= 0.85104453 sigma(sky)= -1295.6129 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 2 sigma^2(add)= 395540.44 +/- 3088150.8 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 3 median sigma(arc)= 0.82247162 sigma(sky)= -1797.6333 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 3 sigma^2(add)= 3231484.7 +/- 3896137.3 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 4 median sigma(arc)= 0.82080879 sigma(sky)= 0.027352696 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 4 sigma^2(add)= 1.4052269 +/- 508338.15 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 5 median sigma(arc)= 0.79558139 sigma(sky)= 0.85140291 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 5 sigma^2(add)= 0.11696573 +/- 0.71202542 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 6 median sigma(arc)= 0.79414110 sigma(sky)= 1.1001097 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 6 sigma^2(add)= 0.57958131 +/- 0.26158430 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 7 median sigma(arc)= 0.79426251 sigma(sky)= 1.1935244 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 7 sigma^2(add)= 0.79364752 +/- 0.25461932 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 8 median sigma(arc)= 0.81323428 sigma(sky)= 0.76814052 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 8 sigma^2(add)= -0.071308304 +/- 0.31403069 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 9 median sigma(arc)= 0.81518761 sigma(sky)= 0.81518737 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 9 sigma^2(add)= 0.0000000 +/- 0.35893817 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 10 median sigma(arc)= 0.85586746 sigma(sky)= 0.90004962 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 10 sigma^2(add)= 0.077578331 +/- 0.23220135 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 11 median sigma(arc)= 0.85981410 sigma(sky)= 1.0093101 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Line # 11 sigma^2(add)= 0.27942501 +/- 0.25799214 SKYLINE_DISPERSION: sdR-r1-00034588.fit: Flexure sigma^2(add) = 0.050415680 +/- 0.24706188 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034588.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034588.fit: Heliocentric correction = 23.582838 km/s FITVACSET: sdR-r1-00034588.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034588.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034588.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034588.fit: Number of pixels rejected: 3 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034588.fit: Number of sky fibers = 23 SKYSUBTRACT: sdR-r1-00034588.fit: Airmass range = 1.25405 1.29827 SKYSUBTRACT: sdR-r1-00034588.fit: Discarding 0.00467052 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 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2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034588.fit: Median sky-residual chi2 = 6.65660 SKYSUBTRACT: sdR-r1-00034588.fit: Max sky-residual chi2 = 25.7503 REDMONSTER: sdR-r1-00034588.fit: WARNING: Bad sky residuals at 6156 to 6308 Ang; Peak chi= 5.07 REDMONSTER: sdR-r1-00034588.fit: WARNING: Bad sky residuals at 6309 to 6350 Ang; Peak chi= 3.74 REDMONSTER: sdR-r1-00034588.fit: WARNING: Bad sky residuals at 6366 to 6568 Ang; Peak chi= 4.45 REDMONSTER: sdR-r1-00034588.fit: WARNING: Red Monster at 6366 to 6568 Ang; Peak chi= 4.45 REDMONSTER: sdR-r1-00034588.fit: WARNING: Bad sky residuals at 6574 to 6721 Ang; Peak chi= 4.26 EXTRACT_OBJECT: sdR-r1-00034588.fit: Calling skysubtract again; masked skyfibers 8 43 156 SKYSUBTRACT: sdR-r1-00034588.fit: Number of sky fibers = 20 SKYSUBTRACT: sdR-r1-00034588.fit: Airmass range = 1.25405 1.29827 SKYSUBTRACT: sdR-r1-00034588.fit: Discarding 0.00529785 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 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breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034588.fit: Median sky-residual chi2 = 4.84176 SKYSUBTRACT: sdR-r1-00034588.fit: Max sky-residual chi2 = 19.8978 REDMONSTER: sdR-r1-00034588.fit: WARNING: Bad sky residuals at 6155 to 6432 Ang; Peak chi= 4.40 QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 45 = -125.460 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 71 = 15.3475 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 90 = 40.8973 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 96 = 15.3894 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 102 = 78.7598 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 124 = 61.7742 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 125 = 71.5739 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 127 = 98.8657 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 135 = 79.2071 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 246 = 30.2215 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 256 = -27.7966 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 263 = -47.5459 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 284 = -135.023 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 290 = -108.843 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 312 = -115.583 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 315 = -16.1167 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Median sky-residual chi = 2.22237 QAPLOT_SKYSUB: sdR-r1-00034588.fit: Max sky-residual chi = 4.95599 at 6216.8027 Ang SKYSUBTRACT: sdR-r1-00034588.fit: Number of sky fibers = 20 SKYSUBTRACT: sdR-r1-00034588.fit: Airmass range = 1.25405 1.29827 SKYSUBTRACT: sdR-r1-00034588.fit: Discarding 0.00529785 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 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of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034588.fit: Median sky-residual chi2 = 3.51120 SKYSUBTRACT: sdR-r1-00034588.fit: Max sky-residual chi2 = 15.0374 QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 45 = -103.066 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 90 = 15.7676 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 96 = -11.2400 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 102 = 48.0383 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 124 = 14.1996 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 125 = 18.8553 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 127 = 53.1813 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 135 = 29.1236 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 204 = -42.5621 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 219 = -21.4823 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 246 = 21.8710 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 256 = -24.6421 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 263 = -35.4989 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 284 = -96.2491 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 290 = -64.0222 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 312 = -24.6219 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 315 = 74.7018 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Warning: Median sky-sub flux in sky fiber 318 = 96.0161 electrons QAPLOT_SKYSUB: sdR-r1-00034588.fit: Median sky-residual chi = 1.89327 QAPLOT_SKYSUB: sdR-r1-00034588.fit: Max sky-residual chi = 6.67067 at 5773.6384 Ang QAPLOT_SKYSUB: sdR-r1-00034588.fit: WARNING: Max sky-residual chi = 6.67067 at 5773.6384 Ang QAPLOT_SKYLINE: sdR-r1-00034588.fit: Airmass range = 1.25 1.30 QAPLOT_SKYLINE: sdR-r1-00034588.fit: Flux dispersion for skyline 7343.0 = 9.90 % QAPLOT_SKYLINE: sdR-r1-00034588.fit: Airmass range = 1.25 1.30 QAPLOT_SKYLINE: sdR-r1-00034588.fit: Flux dispersion for skyline 8888.3 = 5.17 % SPADD_GUIDERINFO: sdR-r1-00034588.fit: Number of guider frames = 24 SPREDUCE: sdR-r1-00034588.fit: Elapsed time = 196. seconds SPREDUCE: sdR-r1-00034589.fit: Reading object sdR-r1-00034589.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034589.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034589.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034589.fit: Measured read-noise in DN for amp# 2 = 3.88871 SDSSPROC: sdR-r1-00034589.fit: Measured bias value in DN for amp# 2 = 1192.66 SDSSPROC: sdR-r1-00034589.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034589.fit: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: sdR-r1-00034589.fit: Measured read-noise in DN for amp# 3 = 3.70945 SDSSPROC: sdR-r1-00034589.fit: Measured bias value in DN for amp# 3 = 1241.36 SDSSPROC: sdR-r1-00034589.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034589.fit: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 SDSSPROC: sdR-r1-00034589.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034589.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034589.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034589.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034589.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034589.fit: Science 25-th-percentile = 602.248 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034589.fit: Whopping fibers: 7 18 36 42 47 53 55 58 66 71 77 80 84 86 93 99 120 125 128 130 133 138 149 205 212 217 219 224 226 228 241 243 250 253 260 265 271 275 282 284 291 293 295 303 307 310 313 315 EXTRACT_OBJECT: sdR-r1-00034589.fit: Median counts in all fibers = 19540.2 EXTRACT_OBJECT: sdR-r1-00034589.fit: Number of bright fibers = 48 EXTRACT_OBJECT: sdR-r1-00034589.fit: Sky fiber median 2188.46 EXTRACT_OBJECT: sdR-r1-00034589.fit: 5% and 95% count levels 1100.66 39756.7 EXTRACT_OBJECT: sdR-r1-00034589.fit: WARNING: Disable whopping terms sdR-r1-00034589.fit MATCH_TRACE: sdR-r1-00034589.fit: Iteration: 0 Pixels Rejected: 18270 Finished? 0 MATCH_TRACE: sdR-r1-00034589.fit: Iteration: 1 Pixels Rejected: 495 Finished? 0 MATCH_TRACE: sdR-r1-00034589.fit: Iteration: 2 Pixels Rejected: 51 Finished? 0 MATCH_TRACE: sdR-r1-00034589.fit: Iteration: 3 Pixels Rejected: 4 Finished? 0 MATCH_TRACE: sdR-r1-00034589.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r1-00034589.fit: Shifting traces by match_trace 0.0610352 EXTRACT_OBJECT: sdR-r1-00034589.fit: Extracting frame sdR-r1-00034589.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034589.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 3 1.04 1.68 .0001 2 1.04 1.62 .0002 3 1.04 1.66 .0003 3 1.04 1.69 .0004 3 1.04 1.63 .0005 3 1.04 1.74 .0006 4 1.04 1.78 .0007 4 1.04 1.71 .0008 2 1.04 1.73 .0009 2 1.04 1.88 .0010 4 1.04 1.90 .0011 3 1.04 1.80 .0012 4 1.04 1.78 .0013 3 1.04 2.02 .0014 3 1.04 1.93 .0015 4 1.04 2.10 .0016 3 1.04 2.05 .0017 2 1.04 1.91 .0018 2 1.04 2.07 .0019 2 1.03 2.23 .0020 1 1.03 2.32 .0021 2 1.03 2.27 .0022 4 1.03 2.32 .0023 2 1.03 2.36 .0024 4 1.03 2.16 .0025 3 1.03 2.40 .0026 3 1.03 2.36 .0027 1 1.03 2.61 .0028 3 1.03 2.45 .0029 2 1.03 2.41 .0030 4 1.03 2.60 .0031 1 1.03 2.57 .0032 1 1.03 2.87 .0033 1 1.03 2.96 .0034 3 1.03 2.89 .0035 2 1.03 2.86 .0036 2 1.03 3.01 .0037 2 1.03 3.26 .0038 1 1.03 3.08 .0039 2 1.03 3.34 .0040 3 1.03 3.06 .0041 4 1.03 3.24 .0042 2 1.03 3.52 .0043 1 1.03 3.46 .0044 2 1.03 3.44 .0045 3 1.03 3.79 .0046 1 1.03 3.46 .0047 2 1.03 3.76 .0048 3 1.03 4.13 .0049 2 1.03 4.11 .0050 2 1.03 3.90 .0051 2 1.03 4.00 .0052 1 1.03 3.85 .0053 3 1.03 3.99 .0054 2 1.03 4.45 .0055 3 1.03 4.36 .0056 3 1.03 4.34 .0057 1 1.03 4.53 .0058 2 1.03 4.47 .0059 1 1.03 4.71 .0060 1 1.03 4.62 .0061 1 1.03 4.77 .0062 2 1.03 4.91 .0063 1 1.03 4.97 .0064 1 1.03 5.01 .0065 1 1.03 4.92 .0066 2 1.03 5.04 .0067 1 1.03 5.21 .0068 1 1.03 5.31 .0069 1 1.03 5.33 .0070 1 1.03 5.54 .0071 1 1.02 5.74 .0072 1 1.02 5.88 .0073 3 1.02 5.64 .0074 2 1.02 5.76 .0075 2 1.02 5.74 .0076 1 1.02 5.97 .0077 1 1.02 6.16 .0078 1 1.02 6.14 .0079 1 1.02 6.14 .0080 1 1.02 6.46 .0081 1 1.02 6.04 .0082 1 1.02 6.40 .0083 1 1.02 6.54 .0084 3 1.02 6.25 .0085 2 1.02 6.59 .0086 3 1.02 6.87 .0087 1 1.02 7.03 .0088 2 1.02 7.25 .0089 3 1.02 7.06 .0090 1 1.02 7.41 .0091 3 1.02 6.91 .0092 1 1.02 7.08 .0093 1 1.02 6.92 .0094 1 1.02 6.85 .0095 1 1.02 7.04 .0096 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9.07 .1553 1 0.92 9.33 .1554 1 0.92 9.35 .1555 1 0.92 9.06 .1556 1 0.92 9.40 .1557 2 0.92 9.31 .1558 2 0.92 9.72 .1559 2 0.92 9.27 .1560 1 0.92 9.37 .1561 3 0.92 9.30 .1562 3 0.92 10.17 .1563 3 0.92 9.10 .1564 2 0.92 9.89 .1565 2 0.92 9.32 .1566 1 0.92 8.95 .1567 1 0.92 9.36 .1568 1 0.92 9.51 .1569 2 0.92 9.36 .1570 2 0.92 9.84 .1571 2 0.92 9.40 .1572 3 0.92 9.76 .1573 1 0.92 9.83 .1574 1 0.92 9.32 .1575 1 0.92 9.23 .1576 1 0.92 9.38 .1577 1 0.92 9.33 .1578 1 0.92 9.27 .1579 1 0.92 9.64 .1580 1 0.92 9.47 .1581 2 0.92 10.30 .1582 2 0.92 9.27 .1583 1 0.92 9.34 .1584 3 0.92 9.48 .1585 2 0.92 9.57 .1586 2 0.92 9.14 .1587 2 0.92 10.41 .1588 1 0.92 9.89 .1589 2 0.92 9.53 .1590 3 0.92 10.59 .1591 1 0.92 9.56 .1592 2 0.92 9.62 .1593 2 0.92 10.11 .1594 2 0.92 9.37 .1595 1 0.92 9.44 .1596 1 0.92 9.53 .1597 1 0.92 9.59 .1598 1 0.92 9.55 .1599 1 0.92 9.50 .1600 2 0.92 9.53 .1601 1 0.92 9.20 .1602 2 0.92 9.25 .1603 1 0.92 9.69 .1604 2 0.92 10.05 .1605 1 0.92 9.93 .1606 2 0.92 9.82 .1607 2 0.92 9.33 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0.92 8.90 .1774 1 0.92 8.64 .1775 1 0.92 9.38 .1776 2 0.92 8.79 .1777 2 0.92 8.93 .1778 1 0.92 8.83 .1779 1 0.92 10.02 .1780 1 0.92 8.88 .1781 1 0.92 9.24 .1782 1 0.92 9.01 .1783 1 0.92 9.44 .1784 1 0.92 9.13 .1785 3 0.92 8.84 .1786 1 0.92 9.05 .1787 1 0.92 8.59 .1788 2 0.92 9.18 .1789 3 0.92 9.77 .1790 1 0.92 9.18 .1791 1 0.92 8.83 .1792 1 0.92 9.80 .1793 2 0.92 8.64 .1794 3 0.92 9.01 .1795 1 0.92 10.72 .1796 1 0.92 8.94 .1797 1 0.92 8.32 .1798 2 0.92 8.63 .1799 2 0.92 8.58 .1800 3 0.92 8.63 .1801 4 0.92 8.50 .1802 5 0.92 8.75 .1803 2 0.92 8.77 .1804 2 0.92 8.74 .1805 2 0.92 9.19 .1806 2 0.92 8.46 .1807 1 0.92 8.64 .1808 1 0.92 8.72 .1809 1 0.92 8.93 .1810 1 0.92 8.33 .1811 1 0.92 9.21 .1812 1 0.92 8.82 .1813 1 0.92 8.89 .1814 1 0.92 8.75 .1815 1 0.92 8.55 .1816 2 0.92 8.62 .1817 2 0.92 8.78 .1818 1 0.92 9.32 .1819 2 0.92 8.82 .1820 2 0.92 9.20 .1821 2 0.92 8.85 .1822 1 0.92 9.53 .1823 2 0.92 9.12 .1824 1 0.92 8.95 .1825 2 0.92 9.14 .1826 1 0.92 9.18 .1827 1 0.92 9.22 .1828 1 0.92 9.46 .1829 1 0.92 8.72 .1830 1 0.92 8.73 .1831 2 0.92 8.74 .1832 2 0.92 8.82 .1833 2 0.92 8.74 .1834 1 0.92 9.23 .1835 1 0.92 8.81 .1836 1 0.92 9.20 .1837 1 0.92 8.82 .1838 1 0.92 8.66 .1839 1 0.92 8.84 .1840 2 0.92 8.89 .1841 1 0.92 8.86 .1842 1 0.92 8.64 .1843 1 0.92 8.73 .1844 1 0.92 8.96 .1845 1 0.92 9.22 .1846 1 0.92 8.87 .1847 1 0.91 9.10 .1848 1 0.91 8.87 .1849 1 0.91 8.46 .1850 2 0.91 8.80 .1851 1 0.91 8.97 .1852 1 0.91 8.79 .1853 1 0.91 8.89 .1854 2 0.91 9.89 .1855 1 0.91 8.33 .1856 2 0.91 9.02 .1857 1 0.91 9.52 .1858 1 0.91 8.80 .1859 3 0.91 9.20 .1860 2 0.91 8.96 .1861 1 0.91 9.22 .1862 1 0.91 9.10 .1863 2 0.91 8.52 .1864 1 0.91 8.59 .1865 2 0.91 8.36 .1866 2 0.91 8.97 .1867 2 0.91 9.57 .1868 2 0.91 8.84 .1869 1 0.91 9.93 .1870 1 0.91 9.50 .1871 1 0.91 8.85 .1872 2 0.91 8.86 .1873 2 0.91 9.00 .1874 1 0.91 9.47 .1875 2 0.91 9.19 .1876 1 0.91 9.12 .1877 1 0.91 9.55 .1878 3 0.91 9.01 .1879 1 0.91 8.90 .1880 2 0.91 9.45 .1881 3 0.91 9.26 .1882 3 0.91 9.59 .1883 2 0.91 9.18 .1884 2 0.91 9.28 .1885 1 0.91 9.21 .1886 2 0.91 9.45 .1887 2 0.91 8.95 .1888 2 0.91 9.13 .1889 3 0.91 9.15 .1890 5 0.91 9.06 .1891 3 0.91 9.88 .1892 2 0.91 9.51 .1893 1 0.91 9.04 .1894 1 0.91 9.09 .1895 1 0.91 9.68 .1896 1 0.91 9.60 .1897 3 0.91 10.04 .1898 2 0.91 8.92 .1899 2 0.91 9.41 .1900 2 0.91 9.85 .1901 1 0.91 9.28 .1902 1 0.91 9.16 .1903 1 0.91 8.95 .1904 1 0.91 9.29 .1905 1 0.91 8.83 .1906 2 0.91 9.43 .1907 2 0.91 8.78 .1908 2 0.91 9.00 .1909 1 0.91 9.35 .1910 2 0.91 9.16 .1911 3 0.91 9.39 .1912 2 0.91 8.73 .1913 1 0.91 9.36 .1914 1 0.91 10.29 .1915 1 0.91 9.84 .1916 2 0.91 8.92 .1917 2 0.91 9.38 .1918 1 0.91 8.80 .1919 2 0.91 8.62 .1920 2 0.91 8.60 .1921 2 0.91 9.50 .1922 2 0.91 9.26 .1923 2 0.91 8.63 .1924 1 0.91 8.71 .1925 1 0.91 8.56 .1926 1 0.91 8.44 .1927 1 0.91 8.57 .1928 1 0.91 8.21 .1929 3 0.91 8.07 .1930 2 0.91 8.60 .1931 1 0.91 8.20 .1932 2 0.91 8.00 .1933 1 0.91 8.78 .1934 1 0.91 7.86 .1935 2 0.91 7.89 .1936 1 0.91 8.91 .1937 2 0.91 8.28 .1938 1 0.91 8.19 .1939 2 0.91 7.81 .1940 1 0.91 8.23 .1941 1 0.91 7.79 .1942 1 0.91 7.97 .1943 2 0.91 8.04 .1944 2 0.91 7.94 .1945 2 0.91 8.14 .1946 1 0.91 7.94 .1947 1 0.91 8.44 .1948 1 0.91 8.17 .1949 2 0.91 8.40 .1950 2 0.91 8.81 .1951 2 0.91 8.24 .1952 1 0.92 8.75 .1953 1 0.92 9.08 .1954 1 0.92 8.92 .1955 1 0.92 9.39 .1956 1 0.92 9.25 .1957 2 0.92 9.35 .1958 1 0.92 9.47 .1959 1 0.92 9.02 .1960 1 0.92 9.84 .1961 1 0.92 9.01 .1962 1 0.92 9.28 .1963 2 0.92 10.21 .1964 2 0.92 9.22 .1965 3 0.92 9.29 .1966 3 0.92 9.72 .1967 2 0.92 9.66 .1968 1 0.92 8.86 .1969 2 0.92 9.66 .1970 2 0.92 9.13 .1971 1 0.92 9.21 .1972 1 0.92 9.18 .1973 1 0.92 9.51 .1974 2 0.92 8.77 .1975 2 0.92 9.99 .1976 3 0.92 9.30 .1977 1 0.92 9.01 .1978 2 0.92 8.62 .1979 2 0.92 8.87 .1980 2 0.92 8.75 .1981 1 0.92 8.46 .1982 1 0.92 8.54 .1983 2 0.92 8.77 .1984 1 0.92 8.38 .1985 2 0.92 8.65 .1986 1 0.92 8.36 .1987 2 0.92 8.72 .1988 1 0.92 9.78 .1989 2 0.92 8.78 .1990 1 0.92 9.13 .1991 2 0.92 9.06 .1992 1 0.92 8.84 .1993 1 0.92 8.46 .1994 2 0.92 8.72 .1995 2 0.92 8.78 .1996 1 0.92 9.59 .1997 2 0.92 8.78 .1998 2 0.92 9.18 .1999 2 0.92 9.93 .2000 2 0.92 9.40 .2001 1 0.92 9.11 .2002 1 0.92 8.80 .2003 2 0.92 9.86 .2004 1 0.92 9.21 .2005 1 0.92 8.92 .2006 1 0.92 9.89 .2007 2 0.92 8.90 .2008 2 0.92 9.02 .2009 2 0.92 9.20 .2010 2 0.92 9.15 .2011 2 0.92 9.07 .2012 2 0.92 9.66 .2013 1 0.92 9.25 .2014 1 0.92 9.46 .2015 2 0.92 9.43 .2016 2 0.92 10.11 .2017 2 0.92 8.79 .2018 2 0.92 8.87 .2019 2 0.92 9.17 .2020 2 0.92 9.31 .2021 2 0.92 10.89 .2022 2 0.92 9.90 .2023 3 0.92 8.77 .2024 2 0.92 8.60 .2025 1 0.92 9.04 .2026 1 0.92 8.18 .2027 1 0.92 8.35 .2028 1 0.92 8.57 .2029 2 0.92 9.20 .2030 1 0.92 9.27 .2031 2 0.92 8.76 .2032 2 0.92 10.02 .2033 1 0.92 9.21 .2034 2 0.92 9.00 .2035 1 0.92 9.22 .2036 1 0.92 8.91 .2037 1 0.92 9.07 .2038 1 0.92 8.75 .2039 1 0.92 9.38 .2040 2 0.92 9.27 .2041 1 0.92 9.19 .2042 1 0.92 9.19 .2043 2 0.92 9.64 .2044 2 0.92 9.41 .2045 1 0.92 8.95 .2046 1 0.92 9.22 .2047 1 0.92 8.55 EXTRACT_IMAGE: sdR-r1-00034589.fit: masked 1241 pixels EXTRACT_OBJECT: sdR-r1-00034589.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034589.fit: WARNING: Scattered light median = 296.673 electrons QAPLOT_SCATLIGHT: sdR-r1-00034589.fit: WARNING: Scattered light max = 698.476 electrons EXTRACT_OBJECT: sdR-r1-00034589.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034589.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034589.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034589.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.16 Step 20 of 2112 0.58 96 0.03 0.18 Step 28 of 2112 0.58 96 0.02 0.16 Step 36 of 2112 0.58 96 0.02 0.14 Step 44 of 2112 0.58 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.14 Step 68 of 2112 0.59 96 0.02 0.14 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.16 Step 100 of 2112 0.59 96 0.02 0.15 Step 108 of 2112 0.59 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.17 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.03 0.15 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.60 96 0.03 0.17 Step 172 of 2112 0.60 96 0.02 0.16 Step 180 of 2112 0.60 96 0.02 0.16 Step 188 of 2112 0.61 96 0.02 0.17 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.03 0.17 Step 228 of 2112 0.61 96 0.02 0.19 Step 236 of 2112 0.61 96 0.02 0.17 Step 244 of 2112 0.61 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.04 0.16 Step 268 of 2112 0.62 96 0.03 0.16 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.62 96 0.03 0.19 Step 300 of 2112 0.62 96 0.02 0.15 Step 308 of 2112 0.62 96 0.02 0.14 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.03 0.14 Step 332 of 2112 0.63 96 0.02 0.14 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.03 0.16 Step 356 of 2112 0.63 96 0.03 0.15 Step 364 of 2112 0.63 96 0.03 0.16 Step 372 of 2112 0.63 96 0.02 0.17 Step 380 of 2112 0.64 96 0.02 0.17 Step 388 of 2112 0.64 96 0.03 0.18 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.03 0.16 Step 412 of 2112 0.64 96 0.03 0.16 Step 420 of 2112 0.64 96 0.02 0.16 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.02 0.21 Step 492 of 2112 0.65 128 0.02 0.21 Step 500 of 2112 0.65 128 0.02 0.21 Step 508 of 2112 0.66 128 0.01 0.20 Step 516 of 2112 0.66 128 0.01 0.21 Step 524 of 2112 0.66 128 0.03 0.22 Step 532 of 2112 0.66 128 0.02 0.22 Step 540 of 2112 0.66 128 0.02 0.23 Step 548 of 2112 0.66 128 0.03 0.21 Step 556 of 2112 0.66 128 0.02 0.24 Step 564 of 2112 0.66 128 0.02 0.22 Step 572 of 2112 0.67 128 0.02 0.23 Step 580 of 2112 0.67 128 0.02 0.23 Step 588 of 2112 0.67 128 0.03 0.23 Step 596 of 2112 0.67 128 0.02 0.24 Step 604 of 2112 0.67 128 0.03 0.24 Step 612 of 2112 0.67 128 0.03 0.22 Step 620 of 2112 0.67 128 0.03 0.20 Step 628 of 2112 0.67 128 0.03 0.22 Step 636 of 2112 0.68 128 0.03 0.20 Step 644 of 2112 0.68 128 0.03 0.21 Step 652 of 2112 0.68 128 0.03 0.21 Step 660 of 2112 0.68 128 0.03 0.20 Step 668 of 2112 0.68 128 0.03 0.22 Step 676 of 2112 0.68 128 0.03 0.22 Step 684 of 2112 0.68 128 0.03 0.20 Step 692 of 2112 0.69 128 0.02 0.21 Step 700 of 2112 0.69 128 0.02 0.25 Step 708 of 2112 0.69 128 0.02 0.25 Step 716 of 2112 0.69 128 0.02 0.21 Step 724 of 2112 0.69 128 0.02 0.23 Step 732 of 2112 0.69 128 0.02 0.24 Step 740 of 2112 0.69 128 0.02 0.22 Step 748 of 2112 0.69 128 0.03 0.27 Step 756 of 2112 0.70 128 0.02 0.20 Step 764 of 2112 0.70 128 0.03 0.24 Step 772 of 2112 0.70 128 0.02 0.20 Step 780 of 2112 0.70 128 0.02 0.21 Step 788 of 2112 0.70 128 0.03 0.21 Step 796 of 2112 0.70 128 0.03 0.21 Step 804 of 2112 0.70 128 0.04 0.23 Step 812 of 2112 0.70 128 0.03 0.22 Step 820 of 2112 0.71 128 0.02 0.22 Step 828 of 2112 0.71 128 0.03 0.20 Step 836 of 2112 0.71 128 0.03 0.23 Step 844 of 2112 0.71 128 0.02 0.23 Step 852 of 2112 0.71 128 0.03 0.22 Step 860 of 2112 0.71 128 0.03 0.22 Step 868 of 2112 0.71 128 0.03 0.23 Step 876 of 2112 0.72 128 0.03 0.23 Step 884 of 2112 0.72 128 0.02 0.23 Step 892 of 2112 0.72 128 0.03 0.26 Step 900 of 2112 0.72 128 0.03 0.23 Step 908 of 2112 0.72 128 0.03 0.21 Step 916 of 2112 0.72 128 0.03 0.21 Step 924 of 2112 0.72 128 0.03 0.21 Step 932 of 2112 0.72 128 0.03 0.22 Step 940 of 2112 0.73 128 0.03 0.23 Step 948 of 2112 0.73 128 0.03 0.22 Step 956 of 2112 0.73 128 0.03 0.24 Step 964 of 2112 0.73 128 0.02 0.22 Step 972 of 2112 0.73 128 0.04 0.25 Step 980 of 2112 0.73 160 0.04 0.33 Step 988 of 2112 0.73 160 0.05 0.36 Step 996 of 2112 0.74 160 0.03 0.34 Step 1004 of 2112 0.74 160 0.03 0.33 Step 1012 of 2112 0.74 160 0.03 0.33 Step 1020 of 2112 0.74 160 0.03 0.35 Step 1028 of 2112 0.74 160 0.04 0.34 Step 1036 of 2112 0.74 160 0.03 0.32 Step 1044 of 2112 0.74 160 0.03 0.35 Step 1052 of 2112 0.75 160 0.03 0.34 Step 1060 of 2112 0.75 160 0.03 0.34 Step 1068 of 2112 0.75 160 0.03 0.35 Step 1076 of 2112 0.75 160 0.03 0.37 Step 1084 of 2112 0.75 160 0.03 0.34 Step 1092 of 2112 0.75 160 0.03 0.33 Step 1100 of 2112 0.75 160 0.03 0.33 Step 1108 of 2112 0.75 160 0.03 0.36 Step 1116 of 2112 0.76 160 0.04 0.35 Step 1124 of 2112 0.76 160 0.03 0.36 Step 1132 of 2112 0.76 160 0.03 0.38 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.03 0.34 Step 1156 of 2112 0.76 160 0.03 0.33 Step 1164 of 2112 0.76 160 0.03 0.32 Step 1172 of 2112 0.77 160 0.03 0.36 Step 1180 of 2112 0.77 160 0.03 0.35 Step 1188 of 2112 0.77 160 0.03 0.35 Step 1196 of 2112 0.77 160 0.03 0.35 Step 1204 of 2112 0.77 160 0.03 0.33 Step 1212 of 2112 0.77 160 0.03 0.34 Step 1220 of 2112 0.77 160 0.04 0.34 Step 1228 of 2112 0.78 160 0.04 0.34 Step 1236 of 2112 0.78 160 0.04 0.34 Step 1244 of 2112 0.78 160 0.03 0.35 Step 1252 of 2112 0.78 160 0.03 0.33 Step 1260 of 2112 0.78 160 0.03 0.34 Step 1268 of 2112 0.78 160 0.03 0.35 Step 1276 of 2112 0.78 160 0.04 0.35 Step 1284 of 2112 0.78 160 0.04 0.36 Step 1292 of 2112 0.79 160 0.03 0.35 Step 1300 of 2112 0.79 160 0.04 0.36 Step 1308 of 2112 0.79 160 0.03 0.38 Step 1316 of 2112 0.79 160 0.03 0.37 Step 1324 of 2112 0.79 160 0.04 0.36 Step 1332 of 2112 0.79 160 0.03 0.33 Step 1340 of 2112 0.79 160 0.03 0.36 Step 1348 of 2112 0.80 160 0.04 0.36 Step 1356 of 2112 0.80 160 0.04 0.38 Step 1364 of 2112 0.80 192 0.04 0.42 Step 1372 of 2112 0.80 192 0.04 0.41 Step 1380 of 2112 0.80 192 0.04 0.45 Step 1388 of 2112 0.80 192 0.03 0.37 Step 1396 of 2112 0.80 192 0.03 0.39 Step 1404 of 2112 0.81 192 0.04 0.38 Step 1412 of 2112 0.81 192 0.04 0.41 Step 1420 of 2112 0.81 192 0.03 0.39 Step 1428 of 2112 0.81 192 0.04 0.39 Step 1436 of 2112 0.81 192 0.05 0.38 Step 1444 of 2112 0.81 192 0.04 0.37 Step 1452 of 2112 0.81 192 0.04 0.38 Step 1460 of 2112 0.82 192 0.04 0.39 Step 1468 of 2112 0.82 192 0.04 0.44 Step 1476 of 2112 0.82 192 0.04 0.38 Step 1484 of 2112 0.82 192 0.02 0.36 Step 1492 of 2112 0.82 192 0.03 0.41 Step 1500 of 2112 0.82 192 0.03 0.40 Step 1508 of 2112 0.82 192 0.03 0.37 Step 1516 of 2112 0.83 192 0.04 0.41 Step 1524 of 2112 0.83 192 0.04 0.37 Step 1532 of 2112 0.83 192 0.04 0.38 Step 1540 of 2112 0.83 192 0.04 0.41 Step 1548 of 2112 0.83 192 0.04 0.38 Step 1556 of 2112 0.83 192 0.04 0.43 Step 1564 of 2112 0.83 192 0.04 0.42 Step 1572 of 2112 0.84 192 0.04 0.39 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.03 0.36 Step 1596 of 2112 0.84 192 0.03 0.38 Step 1604 of 2112 0.84 192 0.04 0.39 Step 1612 of 2112 0.84 192 0.05 0.39 Step 1620 of 2112 0.84 192 0.05 0.39 Step 1628 of 2112 0.84 192 0.05 0.40 Step 1636 of 2112 0.85 192 0.03 0.40 Step 1644 of 2112 0.85 192 0.05 0.41 Step 1652 of 2112 0.85 192 0.04 0.40 Step 1660 of 2112 0.85 192 0.05 0.42 Step 1668 of 2112 0.85 192 0.05 0.41 Step 1676 of 2112 0.85 192 0.04 0.39 Step 1684 of 2112 0.85 192 0.05 0.39 Step 1692 of 2112 0.86 224 0.04 0.51 Step 1700 of 2112 0.86 224 0.05 0.55 Step 1708 of 2112 0.86 224 0.05 0.53 Step 1716 of 2112 0.86 224 0.04 0.53 Step 1724 of 2112 0.86 224 0.04 0.48 Step 1732 of 2112 0.86 224 0.04 0.51 Step 1740 of 2112 0.86 224 0.04 0.47 Step 1748 of 2112 0.87 224 0.04 0.48 Step 1756 of 2112 0.87 224 0.05 0.52 Step 1764 of 2112 0.87 224 0.04 0.48 Step 1772 of 2112 0.87 224 0.05 0.50 Step 1780 of 2112 0.87 224 0.05 0.51 Step 1788 of 2112 0.87 224 0.04 0.48 Step 1796 of 2112 0.87 224 0.04 0.49 Step 1804 of 2112 0.88 224 0.06 0.53 Step 1812 of 2112 0.88 224 0.06 0.48 Step 1820 of 2112 0.88 224 0.04 0.47 Step 1828 of 2112 0.88 224 0.06 0.51 Step 1836 of 2112 0.88 224 0.05 0.52 Step 1844 of 2112 0.88 224 0.04 0.47 Step 1852 of 2112 0.88 224 0.04 0.52 Step 1860 of 2112 0.89 224 0.04 0.49 Step 1868 of 2112 0.89 224 0.04 0.51 Step 1876 of 2112 0.89 224 0.05 0.51 Step 1884 of 2112 0.89 224 0.05 0.49 Step 1892 of 2112 0.89 224 0.04 0.50 Step 1900 of 2112 0.89 224 0.04 0.49 Step 1908 of 2112 0.89 224 0.05 0.51 Step 1916 of 2112 0.90 224 0.05 0.51 Step 1924 of 2112 0.90 224 0.05 0.54 Step 1932 of 2112 0.90 224 0.05 0.51 Step 1940 of 2112 0.90 224 0.04 0.47 Step 1948 of 2112 0.90 224 0.07 0.51 Step 1956 of 2112 0.90 224 0.06 0.52 Step 1964 of 2112 0.90 256 0.05 0.53 Step 1972 of 2112 0.91 256 0.05 0.52 Step 1980 of 2112 0.91 256 0.05 0.52 Step 1988 of 2112 0.91 256 0.05 0.56 Step 1996 of 2112 0.91 256 0.06 0.52 Step 2004 of 2112 0.91 256 0.06 0.58 Step 2012 of 2112 0.91 256 0.07 0.62 Step 2020 of 2112 0.91 256 0.08 0.59 Step 2028 of 2112 0.92 256 0.07 0.56 Step 2036 of 2112 0.92 256 0.05 0.52 Step 2044 of 2112 0.92 256 0.05 0.57 Step 2052 of 2112 0.92 256 0.05 0.56 Step 2060 of 2112 0.92 256 0.05 0.53 Step 2068 of 2112 0.92 256 0.04 0.53 Step 2076 of 2112 0.92 256 0.03 0.53 Step 2084 of 2112 0.93 256 0.03 0.55 Step 2092 of 2112 0.93 256 0.03 0.52 Step 2100 of 2112 0.93 256 0.05 0.53 Step 2108 of 2112 0.93 256 0.05 0.55 EXTRACT_OBJECT: sdR-r1-00034589.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 3 1.04 1.65 .0001 2 1.04 1.58 .0002 3 1.04 1.63 .0003 3 1.04 1.66 .0004 3 1.04 1.60 .0005 3 1.04 1.70 .0006 3 1.04 1.74 .0007 4 1.04 1.65 .0008 2 1.04 1.67 .0009 2 1.04 1.83 .0010 4 1.04 1.85 .0011 3 1.04 1.74 .0012 4 1.04 1.72 .0013 3 1.04 1.96 .0014 2 1.04 1.86 .0015 4 1.04 2.03 .0016 3 1.04 1.98 .0017 2 1.04 1.84 .0018 2 1.04 1.99 .0019 2 1.03 2.16 .0020 2 1.03 2.12 .0021 2 1.03 2.19 .0022 3 1.03 2.22 .0023 3 1.03 2.14 .0024 4 1.03 2.06 .0025 3 1.03 2.28 .0026 3 1.03 2.25 .0027 2 1.03 2.36 .0028 3 1.03 2.31 .0029 2 1.03 2.28 .0030 3 1.03 2.45 .0031 2 1.03 2.30 .0032 1 1.03 2.70 .0033 1 1.03 2.79 .0034 4 1.03 2.57 .0035 2 1.03 2.69 .0036 2 1.03 2.83 .0037 2 1.03 3.08 .0038 1 1.03 2.88 .0039 2 1.03 3.14 .0040 3 1.03 2.85 .0041 3 1.03 3.02 .0042 2 1.03 3.29 .0043 1 1.03 3.21 .0044 2 1.03 3.20 .0045 3 1.03 3.52 .0046 1 1.03 3.22 .0047 2 1.03 3.49 .0048 3 1.03 3.84 .0049 2 1.03 3.80 .0050 2 1.03 3.61 .0051 2 1.03 3.68 .0052 1 1.03 3.54 .0053 3 1.03 3.67 .0054 2 1.03 4.07 .0055 3 1.03 3.98 .0056 3 1.03 3.93 .0057 1 1.03 4.15 .0058 2 1.03 4.06 .0059 1 1.03 4.32 .0060 1 1.03 4.19 .0061 1 1.03 4.31 .0062 2 1.03 4.45 .0063 1 1.03 4.48 .0064 1 1.03 4.50 .0065 1 1.03 4.42 .0066 2 1.03 4.54 .0067 1 1.03 4.69 .0068 1 1.03 4.76 .0069 1 1.03 4.76 .0070 1 1.03 4.95 .0071 1 1.02 5.12 .0072 1 1.02 5.27 .0073 3 1.02 5.02 .0074 2 1.02 5.14 .0075 2 1.02 5.10 .0076 1 1.02 5.31 .0077 1 1.02 5.48 .0078 1 1.02 5.41 .0079 1 1.02 5.43 .0080 1 1.02 5.71 .0081 1 1.02 5.31 .0082 1 1.02 5.62 .0083 1 1.02 5.75 .0084 3 1.02 5.50 .0085 2 1.02 5.79 .0086 2 1.02 6.02 .0087 1 1.02 6.18 .0088 3 1.02 6.02 .0089 3 1.02 6.15 .0090 1 1.02 6.45 .0091 3 1.02 6.00 .0092 1 1.02 6.15 .0093 1 1.02 5.98 .0094 1 1.02 5.89 .0095 1 1.02 6.06 .0096 1 1.02 6.20 .0097 1 1.02 5.95 .0098 3 1.02 6.11 .0099 3 1.02 6.29 .0100 2 1.02 6.42 .0101 1 1.02 6.18 .0102 2 1.02 6.87 .0103 3 1.02 5.95 .0104 1 1.02 6.61 .0105 2 1.02 6.34 .0106 1 1.02 6.54 .0107 1 1.02 6.21 .0108 3 1.02 6.36 .0109 1 1.02 6.38 .0110 1 1.02 6.59 .0111 2 1.02 6.99 .0112 2 1.02 6.58 .0113 1 1.02 6.52 .0114 1 1.02 6.62 .0115 1 1.02 6.70 .0116 1 1.02 6.80 .0117 1 1.02 6.67 .0118 3 1.02 6.99 .0119 3 1.02 7.03 .0120 5 1.02 6.99 .0121 3 1.02 7.38 .0122 3 1.02 7.50 .0123 3 1.02 6.96 .0124 2 1.02 6.84 .0125 2 1.02 7.09 .0126 1 1.02 6.82 .0127 1 1.02 6.74 .0128 1 1.01 7.03 .0129 1 1.01 7.55 .0130 1 1.01 7.40 .0131 3 1.01 7.00 .0132 1 1.01 7.08 .0133 2 1.01 7.16 .0134 1 1.01 6.44 .0135 1 1.01 6.59 .0136 2 1.01 6.36 .0137 2 1.01 7.21 .0138 4 1.01 6.62 .0139 1 1.01 6.52 .0140 1 1.01 6.53 .0141 1 1.01 6.46 .0142 2 1.01 6.54 .0143 2 1.01 6.43 .0144 2 1.01 6.37 .0145 1 1.01 6.76 .0146 3 1.01 6.75 .0147 1 1.01 6.31 .0148 2 1.01 6.29 .0149 2 1.01 6.42 .0150 1 1.01 6.61 .0151 1 1.01 6.57 .0152 1 1.01 6.17 .0153 1 1.01 6.56 .0154 1 1.01 6.77 .0155 1 1.01 7.07 .0156 2 1.01 6.15 .0157 1 1.01 6.12 .0158 1 1.01 6.40 .0159 2 1.01 6.78 .0160 2 1.01 6.02 .0161 2 1.01 6.25 .0162 2 1.01 6.49 .0163 1 1.01 6.55 .0164 3 1.01 6.70 .0165 2 1.01 6.28 .0166 1 1.01 6.46 .0167 2 1.01 6.39 .0168 1 1.01 6.33 .0169 1 1.01 6.41 .0170 2 1.01 6.39 .0171 1 1.01 6.28 .0172 1 1.01 6.43 .0173 1 1.01 6.14 .0174 1 1.01 6.10 .0175 1 1.01 6.71 .0176 2 1.01 6.33 .0177 1 1.01 6.02 .0178 3 1.01 6.05 .0179 3 1.01 6.29 .0180 1 1.01 5.97 .0181 2 1.01 6.21 .0182 3 1.01 6.24 .0183 2 1.01 6.38 .0184 1 1.01 6.24 .0185 3 1.01 6.11 .0186 3 1.01 5.84 .0187 1 1.01 6.44 .0188 2 1.01 6.70 .0189 1 1.01 6.65 .0190 3 1.01 5.80 .0191 2 1.00 6.03 .0192 1 1.00 6.10 .0193 2 1.00 6.09 .0194 1 1.00 5.96 .0195 2 1.00 5.99 .0196 2 1.00 6.10 .0197 2 1.00 6.27 .0198 1 1.00 6.42 .0199 1 1.00 6.14 .0200 4 1.00 6.27 .0201 2 1.00 5.91 .0202 2 1.00 5.85 .0203 1 1.00 6.24 .0204 1 1.00 6.24 .0205 1 1.00 6.12 .0206 1 1.00 6.52 .0207 1 1.00 6.13 .0208 1 1.00 6.33 .0209 1 1.00 6.18 .0210 1 1.00 6.56 .0211 2 1.00 7.34 .0212 1 1.00 6.75 .0213 1 1.00 6.29 .0214 3 1.00 6.42 .0215 2 1.00 6.41 .0216 1 1.00 6.53 .0217 1 1.00 6.79 .0218 2 1.00 6.72 .0219 1 1.00 7.22 .0220 1 1.00 6.67 .0221 1 1.00 6.59 .0222 1 1.00 7.02 .0223 2 1.00 7.05 .0224 1 1.00 6.68 .0225 1 1.00 7.09 .0226 1 1.00 6.80 .0227 1 1.00 6.92 .0228 1 1.00 7.13 .0229 1 1.00 7.05 .0230 2 1.00 7.49 .0231 1 1.00 7.66 .0232 1 1.00 7.31 .0233 2 1.00 7.27 .0234 1 1.00 7.62 .0235 1 1.00 7.68 .0236 1 1.00 7.43 .0237 1 1.00 7.56 .0238 1 1.00 7.60 .0239 1 1.00 7.72 .0240 1 1.00 7.78 .0241 1 1.00 7.97 .0242 2 1.00 8.23 .0243 1 1.00 8.55 .0244 2 1.00 8.22 .0245 1 1.00 8.15 .0246 1 1.00 8.12 .0247 1 1.00 8.12 .0248 1 1.00 8.39 .0249 1 1.00 8.45 .0250 1 1.00 8.50 .0251 2 1.00 8.18 .0252 1 1.00 8.35 .0253 1 1.00 8.37 .0254 2 1.00 8.73 .0255 2 1.00 8.84 .0256 1 1.00 8.49 .0257 1 1.00 9.42 .0258 3 1.00 8.82 .0259 2 1.00 9.42 .0260 3 1.00 9.68 .0261 2 0.99 9.26 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0.92 3.23 .1761 3 0.92 3.15 .1762 2 0.92 3.22 .1763 1 0.92 3.02 .1764 2 0.92 3.22 .1765 3 0.92 3.11 .1766 1 0.92 3.18 .1767 3 0.92 3.19 .1768 1 0.92 3.24 .1769 1 0.92 3.20 .1770 2 0.92 3.03 .1771 2 0.92 3.13 .1772 2 0.92 3.13 .1773 1 0.92 3.13 .1774 1 0.92 2.98 .1775 2 0.92 3.31 .1776 2 0.92 3.07 .1777 2 0.92 3.17 .1778 1 0.92 3.01 .1779 2 0.92 3.12 .1780 1 0.92 3.07 .1781 2 0.92 3.35 .1782 1 0.92 3.24 .1783 2 0.92 3.14 .1784 1 0.92 3.27 .1785 3 0.92 3.18 .1786 2 0.92 3.14 .1787 1 0.92 2.94 .1788 2 0.92 3.12 .1789 3 0.92 3.00 .1790 2 0.92 3.14 .1791 2 0.92 2.96 .1792 3 0.92 3.01 .1793 2 0.92 3.01 .1794 4 0.92 3.04 .1795 3 0.92 3.05 .1796 2 0.92 3.01 .1797 1 0.92 2.91 .1798 3 0.92 3.04 .1799 2 0.92 3.18 .1800 2 0.92 3.06 .1801 3 0.92 3.07 .1802 3 0.92 3.10 .1803 2 0.92 3.28 .1804 3 0.92 3.02 .1805 3 0.92 3.21 .1806 2 0.92 3.17 .1807 1 0.92 3.20 .1808 1 0.92 3.08 .1809 2 0.92 3.14 .1810 1 0.92 3.05 .1811 2 0.92 2.97 .1812 1 0.92 3.28 .1813 1 0.92 3.31 .1814 1 0.92 3.14 .1815 1 0.92 3.06 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0.91 3.31 .1872 2 0.91 3.31 .1873 2 0.91 3.41 .1874 2 0.91 3.48 .1875 2 0.91 3.34 .1876 1 0.91 3.40 .1877 2 0.91 3.52 .1878 3 0.91 3.30 .1879 1 0.91 3.30 .1880 2 0.91 3.30 .1881 3 0.91 3.48 .1882 4 0.91 3.59 .1883 2 0.91 3.38 .1884 2 0.91 3.36 .1885 1 0.91 3.50 .1886 2 0.91 3.58 .1887 2 0.91 3.28 .1888 3 0.91 3.25 .1889 3 0.91 3.33 .1890 3 0.91 3.48 .1891 4 0.91 3.44 .1892 2 0.91 3.52 .1893 1 0.91 3.52 .1894 1 0.91 3.50 .1895 1 0.91 3.93 .1896 2 0.91 3.58 .1897 4 0.91 3.23 .1898 2 0.91 3.27 .1899 3 0.91 3.45 .1900 3 0.91 3.38 .1901 2 0.91 3.35 .1902 1 0.91 3.36 .1903 1 0.91 3.30 .1904 2 0.91 3.39 .1905 1 0.91 3.30 .1906 2 0.91 3.30 .1907 2 0.91 3.29 .1908 2 0.91 3.32 .1909 2 0.91 3.46 .1910 3 0.91 3.27 .1911 2 0.91 3.37 .1912 2 0.91 3.28 .1913 2 0.91 3.29 .1914 2 0.91 3.71 .1915 2 0.91 3.39 .1916 3 0.91 3.29 .1917 2 0.91 3.41 .1918 1 0.91 3.19 .1919 2 0.91 3.14 .1920 3 0.91 3.09 .1921 4 0.91 3.46 .1922 3 0.91 3.17 .1923 2 0.91 3.28 .1924 1 0.91 3.23 .1925 1 0.91 3.12 .1926 1 0.91 3.13 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0.92 3.21 .1983 2 0.92 3.30 .1984 1 0.92 3.18 .1985 2 0.92 3.22 .1986 2 0.92 3.00 .1987 2 0.92 3.47 .1988 4 0.92 3.42 .1989 2 0.92 3.37 .1990 2 0.92 3.13 .1991 2 0.92 3.42 .1992 1 0.92 3.48 .1993 1 0.92 3.14 .1994 2 0.92 3.23 .1995 2 0.92 3.32 .1996 3 0.92 3.22 .1997 2 0.92 3.45 .1998 2 0.92 3.40 .1999 2 0.92 3.90 .2000 3 0.92 3.43 .2001 2 0.92 3.52 .2002 1 0.92 3.50 .2003 4 0.92 3.59 .2004 2 0.92 3.53 .2005 1 0.92 3.55 .2006 2 0.92 3.62 .2007 2 0.92 3.32 .2008 2 0.92 3.50 .2009 3 0.92 3.51 .2010 2 0.92 3.64 .2011 2 0.92 3.52 .2012 4 0.92 3.40 .2013 2 0.92 3.38 .2014 2 0.92 3.44 .2015 2 0.92 3.55 .2016 5 0.92 3.39 .2017 2 0.92 3.43 .2018 2 0.92 3.51 .2019 2 0.92 3.44 .2020 2 0.92 3.65 .2021 3 0.92 3.73 .2022 3 0.92 3.54 .2023 4 0.92 3.38 .2024 2 0.92 3.42 .2025 2 0.92 3.42 .2026 1 0.92 3.03 .2027 1 0.92 3.21 .2028 1 0.92 3.40 .2029 2 0.92 3.52 .2030 2 0.92 3.56 .2031 2 0.92 3.64 .2032 4 0.92 3.94 .2033 2 0.92 3.63 .2034 2 0.92 3.69 .2035 2 0.92 3.48 .2036 2 0.92 3.38 .2037 2 0.92 3.58 .2038 2 0.92 3.21 .2039 2 0.92 3.32 .2040 3 0.92 3.74 .2041 2 0.92 3.67 .2042 2 0.92 3.62 .2043 2 0.92 3.48 .2044 2 0.92 3.57 .2045 1 0.92 3.75 .2046 2 0.92 3.75 .2047 1 0.92 3.34 EXTRACT_IMAGE: sdR-r1-00034589.fit: masked 2086 pixels EXTRACT_OBJECT: sdR-r1-00034589.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034589.fit: WARNING: Scattered light median = 88.1260 electrons QAPLOT_SCATLIGHT: sdR-r1-00034589.fit: WARNING: Scattered light max = 199.923 electrons EXTRACT_OBJECT: sdR-r1-00034589.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 3 1.04 2.58 .0001 2 1.04 2.09 .0002 2 1.04 2.00 .0003 3 1.04 1.93 .0004 2 1.04 1.78 .0005 3 1.04 1.78 .0006 4 1.04 1.79 .0007 3 1.04 1.72 .0008 2 1.04 1.71 .0009 2 1.04 1.81 .0010 5 1.04 1.72 .0011 2 1.04 1.73 .0012 4 1.04 1.70 .0013 3 1.04 1.95 .0014 2 1.04 1.87 .0015 3 1.04 2.02 .0016 2 1.04 2.06 .0017 2 1.04 1.91 .0018 2 1.04 2.03 .0019 2 1.03 2.19 .0020 2 1.03 2.25 .0021 3 1.03 2.27 .0022 3 1.03 2.34 .0023 4 1.03 2.25 .0024 4 1.03 2.31 .0025 3 1.03 2.57 .0026 3 1.03 2.62 .0027 3 1.03 2.53 .0028 2 1.03 2.67 .0029 2 1.03 2.67 .0030 3 1.03 2.84 .0031 2 1.03 2.75 .0032 2 1.03 3.01 .0033 2 1.03 3.00 .0034 3 1.03 2.99 .0035 3 1.03 2.98 .0036 2 1.03 3.21 .0037 3 1.03 3.34 .0038 1 1.03 3.28 .0039 3 1.03 3.48 .0040 3 1.03 3.32 .0041 3 1.03 3.43 .0042 2 1.03 3.69 .0043 1 1.03 3.70 .0044 2 1.03 3.65 .0045 3 1.03 3.70 .0046 1 1.03 3.66 .0047 2 1.03 3.89 .0048 3 1.03 4.01 .0049 2 1.03 4.13 .0050 2 1.03 3.96 .0051 2 1.03 4.02 .0052 1 1.03 3.97 .0053 3 1.03 3.98 .0054 2 1.03 4.39 .0055 4 1.03 4.19 .0056 3 1.03 4.21 .0057 2 1.03 4.29 .0058 2 1.03 4.23 .0059 2 1.03 4.45 .0060 2 1.03 4.27 .0061 2 1.03 4.38 .0062 2 1.03 4.63 .0063 2 1.03 4.57 .0064 2 1.03 4.61 .0065 2 1.03 4.50 .0066 2 1.03 4.60 .0067 2 1.03 4.79 .0068 2 1.03 4.73 .0069 2 1.03 4.72 .0070 2 1.03 4.96 .0071 2 1.02 5.08 .0072 2 1.02 5.19 .0073 3 1.02 4.94 .0074 2 1.02 5.10 .0075 2 1.02 5.05 .0076 1 1.02 5.21 .0077 1 1.02 5.45 .0078 1 1.02 5.32 .0079 1 1.02 5.30 .0080 2 1.02 5.40 .0081 1 1.02 5.29 .0082 1 1.02 5.59 .0083 1 1.02 5.71 .0084 3 1.02 5.45 .0085 2 1.02 5.80 .0086 2 1.02 5.61 .0087 1 1.02 6.10 .0088 3 1.02 5.91 .0089 3 1.02 5.99 .0090 2 1.02 5.81 .0091 4 1.02 5.63 .0092 3 1.02 5.72 .0093 1 1.02 5.85 .0094 2 1.02 5.71 .0095 1 1.02 5.93 .0096 1 1.02 6.10 .0097 1 1.02 5.83 .0098 4 1.02 5.84 .0099 4 1.02 5.89 .0100 4 1.02 5.91 .0101 1 1.02 6.04 .0102 3 1.02 6.40 .0103 3 1.02 5.92 .0104 1 1.02 6.54 .0105 2 1.02 6.25 .0106 1 1.02 6.34 .0107 1 1.02 6.07 .0108 3 1.02 6.17 .0109 1 1.02 6.22 .0110 1 1.02 6.47 .0111 2 1.02 6.54 .0112 2 1.02 6.36 .0113 1 1.02 6.23 .0114 2 1.02 6.27 .0115 1 1.02 6.58 .0116 1 1.02 6.58 .0117 2 1.02 6.30 .0118 4 1.02 6.58 .0119 3 1.02 6.70 .0120 5 1.02 6.70 .0121 3 1.02 7.02 .0122 3 1.02 6.65 .0123 2 1.02 6.64 .0124 2 1.02 6.65 .0125 2 1.02 6.75 .0126 1 1.02 6.47 .0127 1 1.02 6.47 .0128 2 1.01 6.48 .0129 2 1.01 6.60 .0130 1 1.01 7.11 .0131 3 1.01 6.74 .0132 2 1.01 6.66 .0133 3 1.01 6.67 .0134 1 1.01 6.30 .0135 1 1.01 6.40 .0136 2 1.01 6.23 .0137 2 1.01 6.66 .0138 4 1.01 6.46 .0139 1 1.01 6.38 .0140 1 1.01 6.42 .0141 1 1.01 6.32 .0142 2 1.01 6.35 .0143 2 1.01 6.24 .0144 2 1.01 6.19 .0145 3 1.01 6.15 .0146 3 1.01 6.36 .0147 1 1.01 6.24 .0148 2 1.01 6.21 .0149 2 1.01 6.36 .0150 2 1.01 6.35 .0151 1 1.01 6.47 .0152 1 1.01 6.18 .0153 1 1.01 6.52 .0154 1 1.01 6.67 .0155 2 1.01 6.66 .0156 2 1.01 6.13 .0157 1 1.01 6.13 .0158 1 1.01 6.47 .0159 3 1.01 6.67 .0160 2 1.01 6.09 .0161 2 1.01 6.27 .0162 2 1.01 6.53 .0163 1 1.01 6.70 .0164 3 1.01 6.65 .0165 2 1.01 6.28 .0166 1 1.01 6.45 .0167 2 1.01 6.57 .0168 1 1.01 6.41 .0169 1 1.01 6.54 .0170 2 1.01 6.45 .0171 1 1.01 6.37 .0172 2 1.01 6.37 .0173 1 1.01 6.33 .0174 1 1.01 6.27 .0175 3 1.01 6.65 .0176 2 1.01 6.57 .0177 2 1.01 6.20 .0178 3 1.01 6.43 .0179 3 1.01 6.55 .0180 1 1.01 6.34 .0181 2 1.01 6.50 .0182 2 1.01 6.55 .0183 2 1.01 6.33 .0184 1 1.01 6.59 .0185 3 1.01 6.58 .0186 3 1.01 6.39 .0187 1 1.01 6.85 .0188 3 1.01 6.53 .0189 2 1.01 6.53 .0190 3 1.01 6.43 .0191 2 1.00 6.38 .0192 1 1.00 6.52 .0193 2 1.00 6.61 .0194 2 1.00 6.33 .0195 2 1.00 6.72 .0196 2 1.00 6.60 .0197 4 1.00 6.54 .0198 1 1.00 6.91 .0199 2 1.00 6.63 .0200 4 1.00 6.90 .0201 2 1.00 6.69 .0202 2 1.00 6.58 .0203 1 1.00 6.86 .0204 1 1.00 6.96 .0205 1 1.00 6.84 .0206 2 1.00 6.91 .0207 1 1.00 6.76 .0208 1 1.00 7.08 .0209 1 1.00 6.94 .0210 1 1.00 7.19 .0211 3 1.00 7.55 .0212 1 1.00 7.30 .0213 1 1.00 6.99 .0214 3 1.00 7.09 .0215 2 1.00 7.06 .0216 1 1.00 7.06 .0217 1 1.00 7.41 .0218 2 1.00 7.32 .0219 2 1.00 7.42 .0220 1 1.00 7.34 .0221 1 1.00 7.21 .0222 2 1.00 7.22 .0223 3 1.00 7.52 .0224 2 1.00 7.18 .0225 2 1.00 7.53 .0226 1 1.00 7.44 .0227 2 1.00 7.14 .0228 2 1.00 7.50 .0229 2 1.00 7.29 .0230 3 1.00 7.53 .0231 2 1.00 7.42 .0232 2 1.00 7.51 .0233 2 1.00 7.54 .0234 2 1.00 7.69 .0235 2 1.00 8.00 .0236 2 1.00 7.57 .0237 2 1.00 7.92 .0238 2 1.00 7.87 .0239 2 1.00 7.76 .0240 2 1.00 7.98 .0241 2 1.00 7.94 .0242 3 1.00 8.06 .0243 2 1.00 8.22 .0244 2 1.00 8.43 .0245 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3 0.92 3.39 .1689 2 0.92 3.66 .1690 2 0.92 3.59 .1691 3 0.92 3.73 .1692 2 0.92 3.71 .1693 2 0.92 3.88 .1694 2 0.92 3.69 .1695 2 0.92 3.51 .1696 2 0.92 3.65 .1697 2 0.92 3.69 .1698 1 0.92 3.76 .1699 1 0.92 3.58 .1700 1 0.92 3.53 .1701 1 0.92 3.45 .1702 1 0.92 3.61 .1703 3 0.92 3.46 .1704 1 0.92 3.73 .1705 2 0.92 3.58 .1706 2 0.92 3.55 .1707 3 0.92 3.51 .1708 3 0.92 3.33 .1709 2 0.92 3.60 .1710 2 0.92 3.48 .1711 3 0.92 3.47 .1712 2 0.92 3.38 .1713 3 0.92 3.47 .1714 2 0.92 3.66 .1715 1 0.92 3.58 .1716 2 0.92 3.49 .1717 1 0.92 3.43 .1718 1 0.92 3.42 .1719 1 0.92 3.52 .1720 1 0.92 3.48 .1721 1 0.92 3.76 .1722 1 0.92 3.48 .1723 3 0.92 3.46 .1724 3 0.92 3.49 .1725 4 0.92 3.69 .1726 2 0.92 3.44 .1727 1 0.92 3.54 .1728 1 0.92 3.45 .1729 2 0.92 3.56 .1730 2 0.92 3.71 .1731 3 0.92 3.51 .1732 1 0.92 3.48 .1733 2 0.92 3.57 .1734 2 0.92 3.34 .1735 3 0.92 3.39 .1736 2 0.92 3.57 .1737 2 0.92 3.52 .1738 3 0.92 3.36 .1739 2 0.92 3.42 .1740 3 0.92 3.56 .1741 1 0.92 3.45 .1742 1 0.92 3.33 .1743 2 0.92 3.37 .1744 2 0.92 3.29 .1745 1 0.92 3.50 .1746 2 0.92 3.50 .1747 2 0.92 3.38 .1748 2 0.92 3.48 .1749 3 0.92 3.30 .1750 4 0.92 3.12 .1751 4 0.92 3.52 .1752 2 0.92 3.46 .1753 3 0.92 3.52 .1754 2 0.92 3.34 .1755 2 0.92 3.47 .1756 2 0.92 3.31 .1757 2 0.92 3.40 .1758 2 0.92 3.43 .1759 2 0.92 3.22 .1760 3 0.92 3.60 .1761 4 0.92 3.34 .1762 3 0.92 3.56 .1763 1 0.92 3.35 .1764 2 0.92 3.57 .1765 3 0.92 3.45 .1766 1 0.92 3.56 .1767 3 0.92 3.54 .1768 1 0.92 3.61 .1769 2 0.92 3.40 .1770 2 0.92 3.38 .1771 2 0.92 3.43 .1772 2 0.92 3.52 .1773 2 0.92 3.38 .1774 1 0.92 3.35 .1775 2 0.92 3.64 .1776 2 0.92 3.52 .1777 2 0.92 3.48 .1778 1 0.92 3.43 .1779 2 0.92 3.53 .1780 1 0.92 3.38 .1781 2 0.92 3.40 .1782 1 0.92 3.52 .1783 5 0.92 3.37 .1784 2 0.92 3.49 .1785 3 0.92 3.52 .1786 2 0.92 3.48 .1787 1 0.92 3.29 .1788 2 0.92 3.42 .1789 3 0.92 3.40 .1790 2 0.92 3.54 .1791 2 0.92 3.38 .1792 4 0.92 3.20 .1793 2 0.92 3.40 .1794 3 0.92 3.36 .1795 3 0.92 3.44 .1796 2 0.92 3.25 .1797 1 0.92 3.37 .1798 2 0.92 3.44 .1799 2 0.92 3.52 .1800 2 0.92 3.36 .1801 3 0.92 3.41 .1802 3 0.92 3.45 .1803 2 0.92 3.68 .1804 2 0.92 3.36 .1805 5 0.92 3.52 .1806 3 0.92 3.29 .1807 1 0.92 3.42 .1808 1 0.92 3.47 .1809 2 0.92 3.50 .1810 1 0.92 3.33 .1811 2 0.92 3.40 .1812 1 0.92 3.63 .1813 2 0.92 3.43 .1814 1 0.92 3.54 .1815 1 0.92 3.42 .1816 2 0.92 3.46 .1817 2 0.92 3.53 .1818 2 0.92 3.49 .1819 3 0.92 3.45 .1820 2 0.92 3.47 .1821 2 0.92 3.29 .1822 3 0.92 3.56 .1823 2 0.92 3.37 .1824 2 0.92 3.50 .1825 2 0.92 3.48 .1826 2 0.92 3.61 .1827 2 0.92 3.66 .1828 3 0.92 3.52 .1829 1 0.92 3.56 .1830 1 0.92 3.47 .1831 2 0.92 3.49 .1832 2 0.92 3.64 .1833 2 0.92 3.54 .1834 2 0.92 3.43 .1835 1 0.92 3.82 .1836 1 0.92 3.70 .1837 1 0.92 3.56 .1838 1 0.92 3.67 .1839 1 0.92 3.54 .1840 3 0.92 3.55 .1841 2 0.92 3.54 .1842 2 0.92 3.71 .1843 1 0.92 3.50 .1844 1 0.92 3.65 .1845 1 0.92 3.83 .1846 2 0.92 3.51 .1847 1 0.91 3.80 .1848 1 0.91 3.52 .1849 1 0.91 3.32 .1850 2 0.91 3.48 .1851 1 0.91 3.51 .1852 1 0.91 3.44 .1853 2 0.91 3.51 .1854 3 0.91 3.46 .1855 1 0.91 3.32 .1856 2 0.91 3.34 .1857 2 0.91 3.36 .1858 2 0.91 3.40 .1859 5 0.91 3.36 .1860 2 0.91 3.36 .1861 2 0.91 3.39 .1862 3 0.91 3.59 .1863 4 0.91 3.32 .1864 2 0.91 3.30 .1865 2 0.91 3.37 .1866 3 0.91 3.45 .1867 2 0.91 3.54 .1868 3 0.91 3.55 .1869 3 0.91 3.48 .1870 3 0.91 3.61 .1871 1 0.91 3.69 .1872 3 0.91 3.58 .1873 2 0.91 3.72 .1874 2 0.91 3.62 .1875 2 0.91 3.80 .1876 1 0.91 3.61 .1877 2 0.91 3.81 .1878 3 0.91 3.65 .1879 1 0.91 3.67 .1880 2 0.91 3.60 .1881 3 0.91 3.74 .1882 3 0.91 3.61 .1883 2 0.91 3.61 .1884 2 0.91 3.73 .1885 1 0.91 3.66 .1886 3 0.91 3.70 .1887 2 0.91 3.69 .1888 3 0.91 3.68 .1889 3 0.91 3.60 .1890 3 0.91 3.82 .1891 3 0.91 3.66 .1892 2 0.91 3.81 .1893 1 0.91 3.98 .1894 2 0.91 3.81 .1895 2 0.91 3.91 .1896 2 0.91 3.83 .1897 3 0.91 3.54 .1898 2 0.91 3.56 .1899 3 0.91 3.64 .1900 2 0.91 3.72 .1901 3 0.91 3.51 .1902 1 0.91 3.63 .1903 1 0.91 3.55 .1904 2 0.91 3.66 .1905 1 0.91 3.67 .1906 2 0.91 3.58 .1907 2 0.91 3.50 .1908 2 0.91 3.57 .1909 3 0.91 3.56 .1910 2 0.91 3.59 .1911 2 0.91 3.63 .1912 2 0.91 3.65 .1913 2 0.91 3.58 .1914 3 0.91 3.96 .1915 2 0.91 3.80 .1916 2 0.91 3.59 .1917 2 0.91 3.62 .1918 1 0.91 3.55 .1919 2 0.91 3.46 .1920 3 0.91 3.47 .1921 3 0.91 3.71 .1922 3 0.91 3.47 .1923 3 0.91 3.57 .1924 1 0.91 3.56 .1925 1 0.91 3.45 .1926 2 0.91 3.53 .1927 1 0.91 3.56 .1928 2 0.91 3.37 .1929 3 0.91 3.37 .1930 3 0.91 3.36 .1931 1 0.91 3.43 .1932 2 0.91 3.37 .1933 3 0.91 3.64 .1934 2 0.91 3.15 .1935 2 0.91 3.19 .1936 3 0.91 3.38 .1937 3 0.91 3.32 .1938 1 0.91 3.41 .1939 2 0.91 3.22 .1940 1 0.91 3.41 .1941 1 0.91 3.03 .1942 1 0.91 3.33 .1943 3 0.91 3.19 .1944 2 0.91 3.29 .1945 2 0.91 3.31 .1946 1 0.91 3.18 .1947 2 0.91 3.36 .1948 2 0.91 3.39 .1949 2 0.91 3.26 .1950 3 0.91 3.54 .1951 2 0.91 3.33 .1952 1 0.92 3.54 .1953 2 0.92 3.45 .1954 1 0.92 3.59 .1955 4 0.92 3.62 .1956 1 0.92 3.74 .1957 2 0.92 3.79 .1958 3 0.92 3.70 .1959 1 0.92 3.64 .1960 2 0.92 3.87 .1961 1 0.92 3.54 .1962 1 0.92 3.63 .1963 4 0.92 3.99 .1964 3 0.92 3.70 .1965 3 0.92 4.00 .1966 2 0.92 3.96 .1967 3 0.92 3.79 .1968 1 0.92 3.70 .1969 3 0.92 3.72 .1970 3 0.92 3.59 .1971 2 0.92 3.66 .1972 3 0.92 3.77 .1973 2 0.92 3.67 .1974 3 0.92 3.61 .1975 3 0.92 3.74 .1976 3 0.92 3.61 .1977 2 0.92 3.64 .1978 2 0.92 3.70 .1979 3 0.92 3.52 .1980 2 0.92 3.59 .1981 1 0.92 3.44 .1982 1 0.92 3.43 .1983 2 0.92 3.73 .1984 1 0.92 3.55 .1985 2 0.92 3.54 .1986 2 0.92 3.45 .1987 2 0.92 3.71 .1988 4 0.92 3.58 .1989 2 0.92 3.59 .1990 2 0.92 3.56 .1991 3 0.92 3.58 .1992 2 0.92 3.64 .1993 1 0.92 3.46 .1994 2 0.92 3.60 .1995 3 0.92 3.41 .1996 2 0.92 3.50 .1997 2 0.92 3.62 .1998 2 0.92 3.59 .1999 3 0.92 3.88 .2000 3 0.92 3.62 .2001 2 0.92 3.60 .2002 1 0.92 3.71 .2003 4 0.92 3.74 .2004 2 0.92 3.61 .2005 2 0.92 3.63 .2006 3 0.92 3.73 .2007 2 0.92 3.63 .2008 2 0.92 3.66 .2009 2 0.92 3.71 .2010 2 0.92 3.90 .2011 3 0.92 3.74 .2012 3 0.92 3.69 .2013 2 0.92 3.70 .2014 2 0.92 3.78 .2015 2 0.92 3.79 .2016 4 0.92 3.77 .2017 2 0.92 3.61 .2018 2 0.92 3.82 .2019 2 0.92 3.68 .2020 3 0.92 3.56 .2021 4 0.92 3.89 .2022 3 0.92 3.75 .2023 3 0.92 3.66 .2024 2 0.92 3.52 .2025 2 0.92 3.49 .2026 1 0.92 3.33 .2027 1 0.92 3.49 .2028 1 0.92 3.61 .2029 2 0.92 3.74 .2030 3 0.92 3.65 .2031 3 0.92 3.69 .2032 3 0.92 3.75 .2033 2 0.92 3.81 .2034 2 0.92 3.70 .2035 2 0.92 3.61 .2036 2 0.92 3.61 .2037 2 0.92 3.68 .2038 2 0.92 3.50 .2039 2 0.92 3.59 .2040 3 0.92 3.83 .2041 2 0.92 3.74 .2042 2 0.92 3.77 .2043 3 0.92 3.80 .2044 3 0.92 3.73 .2045 2 0.92 3.69 .2046 3 0.92 3.80 .2047 1 0.92 3.53 EXTRACT_IMAGE: sdR-r1-00034589.fit: masked 2758 pixels DIVIDEFLAT: sdR-r1-00034589.fit: Warning: Reject 234 low points in trace 45 DIVIDEFLAT: sdR-r1-00034589.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034589.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034589.fit: Warning: Reject 542 low points in trace 173 DIVIDEFLAT: sdR-r1-00034589.fit: Warning: Reject 671 low points in trace 174 DIVIDEFLAT: sdR-r1-00034589.fit: Warning: Reject 1075 low points in trace 249 DIVIDEFLAT: sdR-r1-00034589.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034589.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034589.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034589.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034589.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034589.fit: WARNING: sky shift reference line, sigma 7794.1200 0.082290993 LOCATESKYLINES_2: sdR-r1-00034589.fit: sky shift reference line, offset: 7794.1200 -0.0069044167 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 8 8.1298159 -33.077491 0.11622032 0.97769645 1811.0349 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 17 2.8594723 -259.91146 0.083725822 0.98860393 1844.9872 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 28 9.5453428 -201.02925 0.043303152 0.98289558 1684.1541 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 32 7.1879625 -210.02504 0.027236099 0.94678069 1797.5867 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 43 10.734762 -114.50661 0.059691256 0.96708881 1846.1590 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 44 6.5110430 -89.656442 0.084462389 0.92200922 1809.7974 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 70 6.3182034 24.904864 0.0069137658 0.95895133 1822.9818 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 78 12.740908 21.840982 0.0046874463 1.0046542 1771.8412 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 89 1.9932291 54.748162 -0.0064237137 0.99290524 1761.9822 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 95 8.4382708 79.086297 0.062009665 0.98259314 1798.5719 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 101 5.5449650 112.67901 0.010767209 0.97296555 1711.8527 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 123 4.5839807 75.614382 0.051086614 0.98574019 1767.8704 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 124 4.7269883 75.397722 0.041470620 0.94682869 1881.8797 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 126 4.2790585 145.55727 0.024151287 0.95075058 1815.2834 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 134 6.7138820 132.69188 -0.062159282 0.99391227 1746.1377 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 156 11.018144 162.56967 -0.0075722507 1.0127391 1672.3888 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 203 4.7557437 19.506991 0.0027870419 1.0148367 1691.3677 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 216 4.7622855 67.940479 -0.0093200947 1.0176133 1675.2494 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 218 8.8765700 70.725039 -0.0017074827 1.0065823 1693.7480 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 245 4.5988353 48.738593 0.043613696 0.97186015 1874.6640 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 255 6.3420520 -8.8024478 -0.035271437 1.0020000 1818.9629 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 262 5.2904489 -1.0421070 0.013558656 0.99001633 1734.5940 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 267 2.5786551 -153.07886 0.029635139 0.99466026 1619.0506 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 273 4.5199273 -167.49381 0.037109641 0.94588741 1787.6167 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 283 8.3290847 -137.63413 -0.033486079 0.99317708 1689.3998 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 289 5.9421189 -105.53281 -0.048202143 1.0213272 1701.6634 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 311 5.4190365 -141.61535 0.069046464 1.0384412 1692.9132 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 314 3.3051806 -43.235032 0.027588380 1.0243987 1742.3840 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 0 317 6.1379800 12.070513 0.015836569 0.99404855 1745.0516 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 0 4.0749869 9.6772536e-05 0.021753784 0.98589489 0.99818424 LOCATESKYLINES_2: sdR-r1-00034589.fit: sigma-clipped to 253 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034589.fit: comb2 l,chi^2/dof,fit: 0 3.4233270 -0.0016611364 0.029937223 0.98676371 0.99649214 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 253 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0230330.0299370.004871 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 8 1.5949255 51.311412 0.15633195 0.92323452 699.90321 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 17 1.3943497 -211.30121 0.074343269 0.94019532 797.19560 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 28 3.3495362 -143.23855 0.15057396 0.94223966 670.16725 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 32 3.5830567 -229.90464 0.036227576 0.92084591 758.38689 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 43 5.6836936 -72.921010 0.071121362 0.91195636 800.14346 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 44 0.78368436 -80.518370 0.12735173 0.85262526 749.78437 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 70 4.8482366 65.902930 0.080958482 0.92539667 748.77281 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 78 7.5565098 26.149589 0.023491729 1.0343439 748.87775 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 89 3.7547432 89.952279 0.070726545 0.97061211 803.66530 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 95 2.2232439 64.242502 -0.0034598358 0.97961588 813.75706 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 101 1.3804327 117.61717 0.048633434 0.94174357 753.26726 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 123 2.2056010 70.812791 0.014171688 0.99614939 747.43207 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 124 1.1480287 110.31484 0.058922848 0.86422288 794.18140 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 126 1.9452124 150.47658 0.029379606 1.0549367 765.29371 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 134 2.3422192 144.03147 -0.049794923 0.96367773 748.46936 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 156 3.8688398 184.13222 0.025824904 1.0371032 682.24081 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 203 2.9971168 27.939709 -0.059656996 1.1200210 668.33973 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 216 1.7542445 137.84360 -0.011919107 0.97939521 689.65331 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 218 2.1926114 82.949675 0.021993850 0.96050024 735.32513 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 245 1.8887051 76.568525 0.045172085 1.0139229 741.48160 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 255 0.83876372 24.587934 -0.030275626 0.96050982 758.91126 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 262 1.3606227 23.165536 0.044412920 0.95756910 701.85046 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 267 3.1805881 -151.01155 0.10192335 0.94525220 790.61403 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 273 2.3589435 -152.53655 0.098600613 0.96355734 723.52088 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 283 1.9085604 -115.08357 -0.041121402 0.98709929 686.09630 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 289 1.1771309 -92.066075 0.0049632580 1.0057622 780.11237 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 311 0.72163766 -113.55830 0.0038806454 1.0595493 724.51506 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 314 2.3262526 11.932388 0.070702906 0.93119348 750.78705 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 1 317 1.1753829 8.7386471 0.013210955 0.93124250 755.19652 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 1 1.7429540 0.00081452755 0.041349496 0.96704391 0.99609306 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0344450.0413490.009657 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 8 0.61559693 -74.014465 -0.029894046 1.2697698 100.64511 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -328.70694 0.0000000 1.0000000 -149.46918 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 28 -0.25000000 -310.76361 0.0000000 1.0000000 -144.46999 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -326.66537 0.0000000 1.0000000 -177.89291 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 43 1.5539375 -141.83785 -0.39866115 0.90401774 184.19668 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 44 1.5117695 -120.47269 0.34689793 0.90025995 145.09579 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 70 1.1626505 47.794682 -0.016754748 0.75357482 142.92958 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 78 2.4506746 -4.2993386 -0.13357066 0.90826333 117.28589 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 89 1.9163362 81.051854 0.45873210 0.60000000 130.17607 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 95 0.62918446 21.132631 -0.039074673 0.94064751 172.00468 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 101 1.1980256 84.210098 0.24426038 0.94156395 158.71379 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 123 2.3652102 45.175137 0.11332581 0.99239951 156.87964 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 124 1.3156259 34.694559 -0.24186482 0.90496301 188.82700 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 126 1.1388944 87.178128 0.15259686 0.95095323 164.60058 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 134 0.56595687 34.544612 -0.38709712 1.9592730 186.82715 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 156 3.7094053 162.62446 -0.77719931 1.2634084 121.06883 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 203 1.7038599 15.438962 -0.15311004 1.1417160 132.39973 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 216 1.1622458 28.796672 -0.58948557 1.1735190 169.87695 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 218 2.7807524 11.798372 -0.10939393 0.85929848 210.83711 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 245 1.5396867 49.496439 -0.19212100 0.89314737 114.97665 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 255 0.62557062 -41.118457 -0.41647722 1.3886840 137.27723 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 262 2.0909082 -35.487203 -0.54735067 1.3851227 149.82010 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 267 -0.25000000 -244.50343 0.0000000 1.0000000 -68.298988 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 273 -0.25000000 -254.87926 0.0000000 1.0000000 -83.113228 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 283 2.0858707 -113.78020 0.12044109 0.87581787 153.65673 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 289 7.2709196 -163.12624 -1.0000000 2.0000000 182.38624 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 311 2.5716018 -129.12553 -0.038298311 0.96003206 174.46115 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 314 3.0101990 12.113849 -0.24046723 0.60000000 85.283284 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 2 317 2.6697762 -16.723330 -1.0000000 2.0000000 175.86388 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 2 0.88851307 0.024624287 -0.12878359 1.0025000 0.95074716 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 180 of 180 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: -0.135688-0.1287840.049542 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 8 0.16029517 -142.05278 0.11499903 0.77370624 312.50239 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 17 -0.25000000 -313.51505 0.0000000 1.0000000 -74.849541 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 28 0.59177068 -248.52891 -0.17111719 0.77295056 281.91496 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 32 -0.25000000 -394.28275 0.0000000 1.0000000 -80.360657 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 43 1.4267436 -132.79783 0.032766446 1.0454839 263.88830 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 44 2.6679863 -159.88477 -0.047153531 1.0123156 257.66606 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 70 0.11504728 15.224453 -0.022327127 0.90330261 264.32318 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 78 1.1925450 -31.264167 0.17153549 1.0768163 278.98502 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 89 1.1541952 41.967099 0.38653751 1.1832891 169.66822 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 95 2.0492671 4.4466654 0.21842947 0.96628014 248.40843 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 101 1.0485059 85.877040 -0.10602369 0.98650656 219.56505 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 123 0.83311197 44.807727 -0.13584264 0.87477897 250.76741 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 124 1.7762633 32.166462 0.11676863 0.79567376 285.30659 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 126 1.8580026 101.23380 -0.019258109 0.92347611 224.31778 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 134 1.0193643 79.585161 0.19888679 0.89457437 249.03413 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 156 0.88174134 176.70271 -0.049542683 0.91289289 223.28620 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 203 0.79621580 -0.018756264 0.11250781 1.1654278 262.83265 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 216 1.2654385 16.064777 0.072150400 1.1462357 257.62309 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 218 0.54299293 17.210371 0.058963147 1.0773597 235.99106 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 245 2.2479508 29.195927 -0.097403649 0.77749723 244.90347 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 255 0.79187510 -51.712614 0.19547173 0.80722979 304.17617 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 262 1.3139311 -25.204019 0.18050055 0.93914275 276.77762 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 267 1.0178108 -203.62352 0.010245356 1.2045102 270.86456 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 273 2.0339011 -204.09567 -0.19609048 0.98549111 230.79748 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 283 1.0568744 -126.53858 -0.098713450 1.1882821 224.78971 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 289 0.30216693 -117.92275 0.0058861168 0.86120040 202.52030 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 311 0.98564895 -71.828878 -0.23192068 1.0536507 259.21754 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 314 1.0813077 13.206587 0.041690298 1.4677169 287.73938 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 3 317 2.0956637 -9.1741672 -0.055663673 1.1502463 303.54147 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 3 0.92818477 0.0062807050 0.019068219 0.98957902 0.97474541 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 243 of 243 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0121640.0190680.028313 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 8 0.57410286 -99.707661 0.21653217 0.76923282 281.65222 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 17 0.57617521 -289.51303 0.030244056 0.92748367 305.18008 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 28 0.82438210 -212.58176 -0.18100727 0.96196197 287.70619 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 32 -0.25000000 -335.50070 0.0000000 1.0000000 -11.268136 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 43 1.2176099 -103.07777 0.21186069 0.90747160 287.54218 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 44 0.78041631 -135.47356 0.18999529 0.96307986 332.11404 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 70 1.4782549 24.597162 -0.079452652 1.2124176 270.14283 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 78 1.2235986 -32.944918 0.10957228 1.0217978 319.59404 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 89 1.6460055 60.427706 -0.057905320 0.92417890 225.71273 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 95 0.92972504 60.161565 0.35558536 0.60000000 276.60087 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 101 1.5467875 119.31475 -0.060728952 1.0005464 210.64019 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 123 1.4659379 11.405255 0.12361476 1.2184227 271.28896 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 124 0.78050159 41.962991 0.40469730 0.93098082 241.26712 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 126 1.7944264 80.098184 0.12477847 0.93036696 267.17125 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 134 0.60832091 59.535380 0.25451253 0.83179924 298.78296 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 156 0.54679353 167.22059 0.085365497 1.0016804 304.37492 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 203 0.48178155 44.187520 -0.0033688263 0.76174247 341.23533 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 216 0.89553663 74.854268 0.20423876 0.85035723 271.31623 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 218 2.1623828 54.763453 0.14830668 0.96030550 308.77300 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 245 1.0757869 35.912134 -0.16755274 0.74665729 303.16371 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 255 1.5166185 -12.757920 -0.033145298 0.70303082 331.94556 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 262 0.83168352 12.179727 0.026125646 1.0520409 311.02977 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 267 1.4630253 -226.59292 0.063786750 1.4566323 309.13069 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 273 1.6514600 -206.32776 0.029056694 0.92635474 330.04888 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 283 0.85487317 -95.362856 0.21987983 1.0362788 273.74790 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 289 1.5036578 -92.260606 0.065966004 0.93149111 314.41437 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 311 1.7043177 -17.974650 0.23373379 0.60000000 330.17505 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 314 0.47487885 72.086048 0.28074169 1.0364233 305.98450 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 4 317 1.0562601 66.995818 -0.037692967 0.60000000 332.03089 LOCATESKYLINES_2: sdR-r1-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 4 0.85525098 0.0052386711 0.099176973 0.96348886 0.97508004 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 225 of 225 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0922730.0991770.026266 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 8 2.2059253 -72.240036 0.077504337 0.93740520 322.61687 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 17 0.28405466 -195.53476 0.11512090 1.0855993 376.54716 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 28 1.2130182 -140.60959 0.11752830 1.3245485 348.15029 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 32 1.6265021 -176.87118 0.11051428 0.91034400 449.48217 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 43 0.52901811 -29.450441 0.30350660 0.81412112 391.13193 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 44 0.37502222 -40.481805 0.26893018 0.98193464 386.50658 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 70 0.48017913 45.410472 0.097141297 1.0845187 324.51535 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 78 1.6395653 27.083648 0.14973386 0.97819773 439.04940 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 89 0.94744233 100.48747 0.11107869 0.86713400 380.67712 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 95 1.6211487 8.5491703 -0.017604676 1.3891726 360.68175 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 101 1.9481759 125.39938 -0.010306039 0.97953435 403.43000 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 123 1.9080900 118.37767 0.097070076 0.89366063 368.72356 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 124 3.2454648 39.375450 0.064842462 1.2976892 396.29735 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 126 1.7814355 89.835408 0.10912686 1.1133786 520.08059 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 134 2.3325787 113.95215 0.14298662 0.97047317 480.50921 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 156 1.0356498 200.59884 0.10898923 0.97251148 351.43275 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 203 1.9378855 56.152353 0.18190307 1.3248989 364.68780 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 216 1.1516920 114.88425 -0.15163532 0.98868143 413.26657 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 218 0.29904406 73.490481 0.29208956 1.1616048 407.66365 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 245 1.8496275 82.886843 0.22543822 0.99304488 433.50802 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 255 2.6247200 10.641906 0.26419224 1.0455530 359.34003 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 262 2.4454510 -17.914680 -0.011531112 1.1371865 513.94436 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 267 0.78108269 -181.26551 -0.45684270 1.6895708 440.74136 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 273 0.42455095 -123.03174 -0.020433622 0.97870111 376.69316 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 283 0.49141968 -60.032531 0.026316260 1.1839906 372.82871 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 289 0.68368031 -74.357253 -0.030777249 1.2717594 324.96653 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 311 1.2748858 41.683068 0.17839878 0.84869183 413.71714 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 314 1.6614101 112.82083 0.26519310 1.0888212 365.21459 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 5 317 1.2190576 71.203764 0.26331327 1.1234532 389.93910 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 5 1.3384210 0.012893264 0.10958639 1.0368795 0.98114549 LOCATESKYLINES_2: sdR-r1-00034589.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034589.fit: comb2 l,chi^2/dof,fit: 5 1.2504245 0.012359056 0.11463188 1.0296261 0.98451050 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.1077270.1146320.020532 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 8 3.3165799 -194.74511 -0.011001824 1.0299109 749.46313 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 17 0.24501046 -275.57058 -0.079989980 1.0840339 703.25717 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 28 1.4421528 -231.76619 0.13477908 0.98295063 793.61952 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 32 1.3255114 -275.24550 0.083809740 0.97751963 684.26266 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 43 0.29646245 -119.36737 -0.092037208 0.91612813 759.03335 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 44 4.2984461 -94.570717 0.14595405 0.92893341 844.58204 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 70 0.47139957 -6.9780409 0.033571286 0.86724370 842.19362 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 78 1.7924781 18.255320 0.0053283335 0.98037035 768.42233 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 89 0.24444989 95.501989 -0.010116475 0.81995828 869.12771 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 95 1.1403517 13.748745 0.13469089 0.88318217 860.57844 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 101 1.1672764 70.039792 0.056860236 0.99008913 773.67517 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 123 3.6703689 91.575697 -0.052700850 0.87637546 880.18946 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 124 6.5257460 67.114996 -0.068083552 0.97320821 910.51961 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 126 1.9579377 94.223783 0.064232236 0.97661427 802.73643 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 134 1.6381182 53.156578 -0.12298055 1.0602955 796.29964 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 156 3.1951160 170.72314 -0.016186090 0.94472310 806.64430 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 203 0.69486273 -2.1620906 -0.014054912 1.1335963 800.78570 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 216 2.1823473 53.142172 -0.0090990471 0.97035713 879.63882 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 218 2.9700986 47.767015 0.077515904 0.90249106 816.34606 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 245 0.55825330 44.394518 -0.062034651 0.83488406 904.47941 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 255 1.8784839 -3.0964071 0.036188274 0.92441304 846.51092 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 262 1.3563622 -13.155856 0.10160780 0.97060144 706.46938 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 267 0.57160890 -192.19093 0.074539101 0.97431295 771.00725 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 273 2.7776382 -176.40631 -0.14585912 0.86419609 800.27765 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 283 1.3628132 -97.397415 -0.063741283 0.94676404 820.00832 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 289 1.1827620 -124.19614 0.0080333178 0.93925548 804.65071 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 311 2.0394334 -16.261393 0.035211703 1.1211898 715.38363 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 314 0.62655578 26.900326 -0.12579085 1.1496394 711.04642 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 6 317 0.89516760 21.740091 -0.078648708 1.0581864 799.39118 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 6 1.5572843 0.0014735585 -0.00073094039 0.95891935 0.99264958 LOCATESKYLINES_2: sdR-r1-00034589.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034589.fit: comb2 l,chi^2/dof,fit: 6 1.4760897 0.0013324192 0.0039287804 0.96503788 0.99109301 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: -0.0029760.0039290.011040 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 8 2.5875345 -201.71556 0.036860845 0.99228094 980.26179 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 17 1.2349591 -222.52917 0.050462150 0.96402620 950.40958 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 28 0.67674781 -252.57938 0.082041366 0.97284423 946.99693 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 32 1.4918202 -318.06809 0.037775221 1.0535650 1010.0286 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 43 0.49998405 -119.06846 0.0039536805 1.0514710 899.18790 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 44 2.1897486 -84.926040 0.034011122 0.95400589 1003.6732 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 70 1.4297770 10.930744 0.051861925 0.88323628 980.59246 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 78 2.7175037 45.103561 -0.024842669 0.97980030 968.76325 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 89 3.3297889 85.238384 0.019632583 0.89211017 1118.0090 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 95 5.9417111 -5.6498164 0.061127254 0.93960665 964.02178 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 101 4.4229310 65.810325 -0.040816284 0.93001799 1012.7454 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 123 0.75766113 108.84653 0.055327386 0.90832552 1040.9352 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 124 6.4168913 106.87837 0.0091857124 0.79273957 1123.0922 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 126 2.3770798 111.68163 -0.0097973820 0.89757476 1103.2821 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 134 1.5950013 26.987217 0.013271738 0.99923062 1022.3517 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 156 3.0917394 176.85766 -0.017773598 0.90953772 1008.5415 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 203 9.2001916 -73.595138 -0.20865311 1.0511893 1383.1736 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 216 2.7212159 74.019429 0.015742403 0.92826815 1006.0200 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 218 1.3205145 9.3395935 0.0043039224 0.92724711 1037.0421 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 245 1.7538498 35.200829 -0.042755206 1.0441775 993.21646 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 255 1.8760872 -39.321556 0.083654139 0.91270947 1068.5831 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 262 1.9565587 -42.635855 0.090534242 0.95661068 975.92290 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 267 3.6340271 -242.27470 0.013932333 0.97349921 1086.9678 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 273 2.4468912 -195.77204 0.048345971 0.93112891 962.39838 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 283 1.7435864 -114.04710 0.13122372 0.95859767 997.75057 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 289 1.8401375 -114.76257 0.021796980 0.95346428 1038.4215 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 311 1.8858328 -16.390660 0.11850387 0.91546994 1002.1447 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 314 1.1866780 69.711489 0.048032592 0.92265226 1052.1385 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 7 317 1.8651102 21.608330 0.12404404 0.93447753 993.39793 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 7 1.9650547 0.0010064840 0.020231051 0.94342288 0.99337207 LOCATESKYLINES_2: sdR-r1-00034589.fit: sigma-clipped to 259 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034589.fit: comb2 l,chi^2/dof,fit: 7 1.5282913 0.0015698835 0.033480200 0.94559822 0.98948727 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 259 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0265760.0334800.008998 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 8 0.87565401 -217.90127 0.14349677 0.95814941 1104.1116 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 17 1.6827383 -221.34819 0.078703986 0.84334658 1312.5645 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 28 0.59814694 -300.25903 0.14698195 1.0784022 1081.9420 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 32 2.7371941 -286.57736 0.038547237 0.96142777 1136.8283 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 43 1.3012621 -103.43333 0.076617887 0.88864896 1129.0127 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 44 4.9725810 -161.47004 0.035846264 0.90397239 1220.6862 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 70 0.96753426 -53.796474 0.083421958 0.85856154 1318.0178 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 78 0.42307595 -8.0499452 0.088230946 0.93635604 1157.0222 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 89 0.77540488 -10.515911 0.015056791 0.88828335 1269.4452 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 95 0.40928525 -41.184211 0.082547513 0.88307140 1361.7745 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 101 2.7613609 34.840600 0.0044071205 0.91518253 1211.8560 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 123 6.1983921 -9.0634081 0.11812731 0.93925588 1332.6974 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 124 0.49601741 21.908358 0.15328668 0.84086173 1313.5294 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 126 0.83504145 21.529444 0.11632194 0.88656965 1415.1553 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 134 0.93675823 34.460060 0.10608725 0.99837963 1175.4798 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 156 3.6620118 76.783456 0.050715529 0.93811901 1198.0824 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 203 2.6330360 -38.614903 0.030161777 0.88304230 1284.5511 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 216 2.6379509 -81.923260 -0.0061508879 0.98505591 1289.9339 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 218 0.74545072 -42.412351 0.067106775 0.87888121 1302.2804 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 245 1.4512772 -25.562513 0.10718635 0.91228582 1219.4528 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 255 2.8199981 -67.345613 0.073320414 0.89736742 1234.5818 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 262 2.0639516 -146.16504 0.0077730522 0.97014803 1244.1031 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 267 0.45045151 -320.36619 0.10622975 1.0265746 1280.9136 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 273 4.1161257 -307.27860 0.079649245 0.85759425 1361.6905 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 283 2.1885841 -147.21151 0.069004708 0.95462755 1248.3435 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 289 1.0708639 -166.79922 -0.047663985 0.94041149 1248.3214 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 311 4.3440230 -219.10560 0.0066802218 0.93006954 1319.8386 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 314 3.4990934 -82.903217 0.15616895 0.94331896 1197.5536 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 8 317 1.9757016 -33.152058 0.10023788 0.94610963 1247.6512 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 8 1.6672737 0.00036170047 0.069698855 0.92100768 0.99632843 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0627940.0696990.007280 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 8 1.1865346 -235.14349 0.074723436 0.92476958 1294.3649 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 17 2.8453295 -178.73554 0.13176091 0.89595263 1311.5314 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 28 1.4579842 -258.61752 0.012466265 0.96090007 1285.2624 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 32 0.43390889 -248.51778 -0.022328635 0.87455863 1264.2424 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 43 2.7025383 -130.05797 0.10781499 0.92559882 1336.3029 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 44 0.97857550 -115.38840 0.094472911 0.91978494 1421.0913 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 70 1.6446112 -17.084274 0.013856768 0.94139048 1339.1540 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 78 1.8148174 -20.744656 0.034786066 0.94826208 1377.1008 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 89 1.0235892 -24.001989 0.054867540 0.97360073 1436.8870 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 95 1.9843521 -45.358608 0.064222710 0.95912497 1383.3044 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 101 2.2529523 9.9835733 0.068563538 0.88614976 1389.3152 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 123 35.471981 145.45572 0.034414683 0.81101193 1349.1266 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 124 5.0677765 59.224786 0.042421470 0.83639240 1466.8382 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 126 2.4350930 46.791404 0.086731466 0.96145944 1370.9856 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 134 2.5234503 -58.692816 -0.013547479 0.94702209 1567.8937 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 156 4.6909051 71.343002 0.072489614 0.90772687 1382.2179 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 203 1.0151731 -52.695006 0.18034314 0.95973869 1337.4814 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 216 2.4212599 -60.229853 0.041756551 0.95844970 1420.3169 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 218 2.2046608 -37.165420 0.047752027 0.89915162 1379.3465 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 245 3.5487419 -106.35178 -0.037950326 1.0491880 1397.6295 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 255 0.26698399 -104.59887 0.078161707 0.98061431 1387.8644 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 262 1.0002535 -78.884700 0.19319519 0.77823605 1410.2579 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 267 0.59661668 -221.76499 0.032962494 0.85627582 1348.4412 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 273 0.83183521 -213.54465 0.12706435 0.93906173 1330.4619 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 283 1.6735223 -151.83767 0.0076224369 0.93337380 1305.8560 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 289 1.4867130 -151.36119 0.070045002 0.96439403 1437.2475 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 311 2.0894331 -149.30825 0.029721972 0.94463354 1341.9825 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 314 1.7972685 -82.429028 0.10532629 0.91978398 1338.5165 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 9 317 1.5133385 -65.611703 0.029972623 0.98355192 1361.4862 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 9 2.3753103 0.00090060134 0.059794109 0.92404483 0.99687314 LOCATESKYLINES_2: sdR-r1-00034589.fit: sigma-clipped to 257 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034589.fit: comb2 l,chi^2/dof,fit: 9 1.5740557 -0.0014911832 0.056552056 0.93267167 0.99540483 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 257 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0496480.0565520.006902 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 8 1.3961401 -288.20893 0.18620904 0.96493290 1159.7329 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 17 1.8874572 -188.04110 0.13903323 0.92965271 1201.6527 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 28 1.8061553 -240.77904 0.089176193 0.88085580 1293.7505 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 32 2.2510372 -311.49039 0.095121996 0.97217353 1226.5420 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 43 0.70036105 -194.78745 0.073938924 0.88117344 1250.7722 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 44 0.56333035 -172.58191 0.066128366 0.91048773 1246.6715 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 70 2.6999220 -91.664457 0.054953242 0.93937463 1288.5675 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 78 2.6372918 -66.818272 0.020957420 0.94136329 1225.4361 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 89 1.6707263 -72.527778 0.092137467 0.95413950 1269.8573 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 95 1.3930744 -105.57334 0.097148473 0.96707421 1274.8839 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 101 4.1668153 -29.465010 0.10709996 0.93892097 1183.7453 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 123 1.9462115 -16.652477 0.094266921 0.90181216 1260.0808 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 124 1.0301906 21.730305 0.078205246 0.83755608 1257.3594 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 126 1.3966699 -42.094807 0.061410152 0.97101377 1280.6657 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 134 2.3812646 10.038103 0.10565066 0.94478214 1196.5037 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 156 2.4140692 23.695031 0.089849528 0.93898035 1230.7607 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 203 0.36610088 -102.90329 0.11093504 0.90651890 1280.7992 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 216 2.0829605 -101.79835 0.027821716 0.93661265 1263.0333 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 218 2.6358534 -76.276540 0.13441806 0.88173144 1314.0854 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 245 1.6219582 -46.863700 0.048785781 0.90472969 1261.5293 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 255 1.5290108 -158.22944 0.093976645 0.91713080 1319.4569 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 262 0.77527106 -224.59508 0.13097547 0.91181331 1275.3496 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 267 0.96544942 -262.30635 0.15666117 0.87286380 1195.0125 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 273 1.3665139 -289.76570 0.23968673 0.82158158 1344.0325 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 283 0.57299069 -185.49308 0.13996982 0.86828345 1346.0524 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 289 3.4653686 -185.64364 0.13063004 0.92627952 1287.1154 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 311 1.7960253 -277.32241 0.085623910 0.95680608 1256.7106 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 314 1.7507084 -141.56823 0.049671566 0.92241983 1309.1865 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 10 317 1.8982666 -70.377986 0.11842510 0.87371483 1320.5384 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 10 1.3561320 0.00010239284 0.098317723 0.91941928 0.99641238 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0914130.0983180.007010 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 8 2.2988668 -259.53228 0.11733050 0.93376645 1281.1597 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 17 2.2734485 -232.33770 0.11944856 0.88330132 1454.3930 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 28 3.2935869 -249.31884 -0.0052276618 0.98497045 1310.0887 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 32 3.5275889 -296.41743 0.026830643 0.93910768 1280.8149 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 43 1.4028568 -218.19993 0.082162368 0.90718137 1394.8973 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 44 0.51503377 -167.75725 0.025866269 0.84728588 1498.1916 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 70 4.0201824 -70.595777 0.064324699 0.90590627 1480.2461 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 78 2.3930659 -70.398443 0.077605845 0.89752650 1305.5442 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 89 3.3365589 -76.029616 0.086146106 0.92506408 1410.4984 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 95 1.9750804 -68.675267 0.11727693 0.84646483 1371.0398 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 101 2.2595083 -25.965904 0.069219956 0.93755208 1393.7626 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 123 3.3647814 -46.046744 0.080143333 0.89935483 1580.9731 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 124 0.41158230 -26.086706 0.12699704 0.84952563 1505.1063 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 126 1.6801639 -47.442540 0.14795135 0.98928835 1473.1176 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 134 1.5720576 -49.344591 0.10923418 0.90495591 1529.5276 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 156 6.7551411 50.883411 0.047598786 0.90049054 1385.0285 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 203 4.8585701 -77.176923 0.096576929 0.92132531 1342.2759 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 216 2.3247071 -95.463801 0.068822952 0.96183005 1366.1091 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 218 2.2355769 -94.496718 0.036989754 0.88816709 1435.2158 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 245 1.1424274 -69.891231 0.10362192 0.84240256 1425.1460 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 255 1.1678787 -144.47215 0.076621216 0.89158482 1432.9562 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 262 1.3471243 -258.28387 0.20286171 0.91984257 1509.2190 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 267 2.4215043 -284.98384 0.062036372 0.89837768 1668.1655 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 273 2.5677478 -287.18811 0.22201322 0.91412841 1475.8046 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 283 2.1284023 -208.45327 0.14997598 0.94896157 1358.7393 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 289 4.6721909 -199.05027 0.054717120 1.0170270 1506.1560 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 311 1.0829227 -201.32861 0.13964245 0.90929011 1363.9046 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 314 2.7220585 -166.99031 0.11430528 0.93374957 1411.4186 LOCATESKYLINES_2: sdR-r1-00034589.fit: l,f,chi^2/dof,c: 11 317 2.9445905 -117.19297 0.11547228 0.94362595 1465.6005 LOCATESKYLINES_2: sdR-r1-00034589.fit: comb1 l,chi^2/dof,fit: 11 1.9152165 2.3742644e-05 0.092124735 0.91573644 0.99635770 LOCATESKYLINES_2: sdR-r1-00034589.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034589.fit: offset, refoff, sigma: 0.0852200.0921250.006323 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 FITMEANX: sdR-r1-00034589.fit: In skyline number 0 std-dev is 0.036236112 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 1 std-dev is 0.056384875 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 2 std-dev is 0.19040947 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 3 std-dev is 0.089265068 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 4 std-dev is 0.084570125 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 5 std-dev is 0.076793514 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 6 std-dev is 0.083617457 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 7 std-dev is 0.046485158 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 8 std-dev is 0.052563188 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 9 std-dev is 0.044367536 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 10 std-dev is 0.040704298 pix FITMEANX: sdR-r1-00034589.fit: In skyline number 11 std-dev is 0.053291064 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 6300.3040 coadded std-dev is 0.00487129 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 6363.7760 coadded std-dev is 0.00965714 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 6553.6100 coadded std-dev is 0.0495425 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 6923.2100 coadded std-dev is 0.0283126 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 6949.0300 coadded std-dev is 0.0262660 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 7571.7500 coadded std-dev is 0.0205322 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 7794.1200 coadded std-dev is 0.0110398 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 7821.5100 coadded std-dev is 0.00899772 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 8399.1600 coadded std-dev is 0.00728039 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 8430.1700 coadded std-dev is 0.00690189 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 8885.8300 coadded std-dev is 0.00701045 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: In sky feature at 8919.6100 coadded std-dev is 0.00632323 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034589.fit: Median arc shift = 0.034934729 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: Dispersion in arc shift = 0.017221161 pix LOCATESKYLINES_2: sdR-r1-00034589.fit: Maximum sky-line shift is 0.10397666 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Number of sky fibers = 20 ROW NITER SIG(med) CHI^2 .0000 10 0.82 5.92 .0001 6 0.82 4.58 .0002 4 0.82 4.50 .0003 5 0.82 3.65 .0004 4 0.82 4.92 .0005 4 0.82 4.48 .0006 5 0.82 4.70 .0007 12 0.82 7.79 .0008 1 0.82 0.63 .0009 4 0.82 5.34 .0010 3 0.82 3.05 .0011 5 0.82 4.96 .0012 6 0.82 4.96 .0013 5 0.82 4.27 .0014 5 0.82 4.74 .0015 5 0.82 1.84 .0016 2 0.82 4.28 .0017 1 0.82 0.51 .0018 10 0.82 7.29 .0019 8 0.82 6.48 .0020 4 0.82 4.55 .0021 6 0.82 4.88 .0022 5 0.82 4.62 .0023 5 0.82 5.14 .0024 9 0.82 6.21 .0025 5 0.82 4.45 .0026 5 0.82 3.29 .0027 5 0.82 4.82 .0028 1 0.82 0.59 .0029 13 0.82 4.96 .0030 7 0.82 4.73 .0031 3 0.82 3.49 .0032 2 0.82 0.59 .0033 7 0.82 5.56 .0034 4 0.82 3.62 .0035 6 0.82 4.98 .0036 11 0.82 8.36 .0037 4 0.82 4.93 .0038 6 0.82 5.81 .0039 5 0.82 3.76 .0040 5 0.81 5.45 .0041 4 0.81 4.51 .0042 6 0.81 6.01 .0043 1 0.81 0.60 .0044 2 0.81 0.58 .0045 8 0.81 3.71 .0046 7 0.81 4.57 .0047 5 0.81 5.76 .0048 4 0.81 4.71 .0049 6 0.81 3.95 .0050 4 0.81 4.62 .0051 4 0.81 4.88 .0052 3 0.81 5.18 .0053 6 0.81 6.34 .0054 6 0.81 5.07 .0055 5 0.81 5.52 .0056 5 0.81 5.24 .0057 4 0.81 4.31 .0058 6 0.81 5.75 .0059 5 0.81 5.08 .0060 2 0.80 1.52 .0061 3 0.80 0.96 .0062 1 0.80 0.95 .0063 2 0.80 0.97 .0064 1 0.80 1.21 .0065 2 0.80 0.67 .0066 5 0.80 6.58 .0067 3 0.80 0.85 .0068 2 0.80 0.96 .0069 2 0.80 1.16 .0070 1 0.80 0.83 .0071 8 0.80 6.81 .0072 2 0.80 0.84 .0073 2 0.80 1.09 .0074 3 0.80 0.79 .0075 1 0.80 1.60 .0076 5 0.80 5.32 .0077 7 0.80 6.59 .0078 1 0.80 0.84 .0079 6 0.80 6.28 .0080 5 0.83 5.64 .0081 5 0.83 5.38 .0082 5 0.83 4.24 .0083 5 0.83 6.21 .0084 6 0.83 6.93 .0085 5 0.83 4.97 .0086 4 0.83 5.84 .0087 5 0.83 4.19 .0088 6 0.83 4.79 .0089 1 0.83 0.69 .0090 0 0.83 0.00 .0091 3 0.83 0.62 .0092 4 0.83 3.71 .0093 5 0.83 6.21 .0094 12 0.83 6.81 .0095 1 0.83 0.71 .0096 4 0.83 4.92 .0097 5 0.83 4.49 .0098 4 0.83 2.65 .0099 6 0.83 6.43 .0100 2 0.79 1.09 .0101 3 0.79 0.79 .0102 2 0.79 0.89 .0103 2 0.79 1.05 .0104 1 0.79 0.97 .0105 2 0.79 0.86 .0106 1 0.79 1.35 .0107 2 0.79 1.27 .0108 2 0.79 1.52 .0109 2 0.79 0.83 .0110 1 0.79 1.02 .0111 2 0.79 0.88 .0112 1 0.79 0.98 .0113 1 0.79 1.19 .0114 1 0.79 1.05 .0115 1 0.79 1.00 .0116 2 0.79 0.98 .0117 1 0.79 1.41 .0118 2 0.79 1.03 .0119 1 0.79 0.95 .0120 7 0.77 7.15 .0121 8 0.77 7.03 .0122 3 0.77 4.28 .0123 2 0.77 0.82 .0124 3 0.77 0.78 .0125 9 0.77 7.53 .0126 3 0.77 0.61 .0127 4 0.77 6.21 .0128 5 0.77 5.98 .0129 6 0.77 4.67 .0130 5 0.77 6.47 .0131 3 0.77 5.76 .0132 2 0.77 5.11 .0133 10 0.77 9.15 .0134 1 0.77 0.73 .0135 7 0.77 6.45 .0136 5 0.77 5.79 .0137 12 0.77 8.50 .0138 7 0.77 7.22 .0139 8 0.77 7.88 .0140 2 0.79 0.84 .0141 1 0.79 1.16 .0142 1 0.79 0.83 .0143 3 0.79 0.70 .0144 2 0.79 0.93 .0145 1 0.79 1.00 .0146 2 0.79 1.00 .0147 4 0.79 1.36 .0148 2 0.79 0.87 .0149 5 0.79 5.56 .0150 2 0.79 1.02 .0151 1 0.79 1.11 .0152 2 0.79 1.26 .0153 1 0.79 1.45 .0154 3 0.79 0.92 .0155 2 0.79 1.00 .0156 4 0.79 1.06 .0157 4 0.79 0.94 .0158 5 0.79 0.95 .0159 2 0.79 1.31 .0160 3 0.80 0.94 .0161 4 0.80 0.96 .0162 3 0.80 1.00 .0163 5 0.80 0.81 .0164 2 0.80 1.07 .0165 7 0.80 1.13 .0166 1 0.80 1.24 .0167 6 0.80 0.85 .0168 3 0.80 1.28 .0169 2 0.80 1.13 .0170 6 0.80 0.80 .0171 4 0.80 1.09 .0172 4 0.80 0.82 .0173 4 0.80 0.46 .0174 2 0.80 0.60 .0175 4 0.80 1.10 .0176 3 0.80 0.80 .0177 3 0.80 0.89 .0178 4 0.80 0.93 .0179 4 0.80 0.91 .0180 4 0.80 5.95 .0181 2 0.80 1.45 .0182 3 0.80 0.74 .0183 3 0.80 0.84 .0184 1 0.80 1.10 .0185 2 0.80 1.25 .0186 2 0.80 0.85 .0187 1 0.80 0.93 .0188 1 0.80 0.84 .0189 2 0.80 0.83 .0190 2 0.80 0.94 .0191 2 0.80 0.81 .0192 2 0.80 0.82 .0193 1 0.80 1.08 .0194 4 0.80 3.95 .0195 1 0.80 0.79 .0196 2 0.80 0.76 .0197 7 0.80 3.64 .0198 1 0.80 0.93 .0199 2 0.80 1.52 .0200 5 0.80 4.90 .0201 3 0.80 5.20 .0202 5 0.80 6.34 .0203 1 0.80 0.71 .0204 5 0.80 4.93 .0205 5 0.80 5.35 .0206 4 0.80 4.13 .0207 3 0.80 5.01 .0208 4 0.80 4.51 .0209 6 0.80 6.26 .0210 7 0.80 6.65 .0211 11 0.80 9.68 .0212 5 0.80 5.71 .0213 7 0.80 5.02 .0214 3 0.80 4.69 .0215 3 0.80 3.92 .0216 1 0.80 0.71 .0217 8 0.80 8.41 .0218 2 0.80 0.66 .0219 8 0.80 7.21 .0220 6 0.80 6.53 .0221 1 0.80 1.08 .0222 4 0.80 5.30 .0223 1 0.80 0.72 .0224 9 0.80 6.69 .0225 4 0.80 4.54 .0226 5 0.80 6.58 .0227 4 0.80 5.50 .0228 9 0.80 9.48 .0229 2 0.80 1.42 .0230 1 0.80 0.88 .0231 7 0.80 7.03 .0232 1 0.80 1.09 .0233 1 0.80 0.98 .0234 1 0.80 0.80 .0235 3 0.80 0.75 .0236 2 0.80 0.89 .0237 1 0.80 0.76 .0238 3 0.80 0.84 .0239 1 0.80 1.65 .0240 5 0.80 5.03 .0241 10 0.80 7.15 .0242 3 0.80 5.17 .0243 6 0.80 6.06 .0244 6 0.80 4.90 .0245 1 0.80 0.72 .0246 5 0.80 4.95 .0247 4 0.80 4.35 .0248 3 0.80 4.07 choldc failed 28 .0249 7 0.80 846.98 .0250 5 0.80 6.00 .0251 0 0.80 0.00 .0252 6 0.80 5.51 .0253 11 0.80 7.30 .0254 4 0.80 4.96 .0255 1 0.80 0.71 .0256 3 0.80 3.90 .0257 7 0.80 6.82 .0258 5 0.80 5.39 .0259 4 0.80 5.30 .0260 6 0.79 7.33 .0261 5 0.79 4.81 .0262 1 0.79 0.54 .0263 5 0.79 4.58 .0264 13 0.79 7.99 .0265 12 0.79 7.33 .0266 10 0.79 1.46 .0267 1 0.79 0.58 .0268 6 0.79 5.44 .0269 7 0.79 5.17 .0270 5 0.79 5.01 .0271 7 0.79 6.16 .0272 9 0.79 6.94 .0273 1 0.79 0.75 .0274 5 0.79 7.82 .0275 7 0.79 6.24 .0276 12 0.79 7.60 .0277 4 0.79 4.52 .0278 4 0.79 5.36 .0279 6 0.79 4.52 .0280 4 0.83 4.96 .0281 5 0.83 4.83 .0282 6 0.83 5.19 .0283 3 0.83 0.68 .0284 6 0.83 5.47 .0285 7 0.83 5.10 .0286 6 0.83 3.49 .0287 5 0.83 4.88 .0288 7 0.83 5.66 .0289 4 0.83 0.61 .0290 18 0.83 5.11 .0291 6 0.83 5.57 .0292 3 0.83 3.64 .0293 7 0.83 5.82 .0294 0 0.83 0.00 .0295 8 0.83 7.70 .0296 4 0.83 5.01 .0297 8 0.83 6.60 .0298 3 0.83 4.49 .0299 3 0.83 3.67 .0300 6 0.84 4.69 .0301 3 0.84 3.30 .0302 5 0.84 4.15 .0303 12 0.84 9.59 .0304 5 0.84 3.95 .0305 7 0.84 4.74 .0306 3 0.84 3.73 .0307 7 0.84 5.84 .0308 8 0.84 3.54 .0309 7 0.84 5.34 .0310 8 0.84 6.98 .0311 2 0.84 0.62 .0312 2 0.84 5.00 .0313 10 0.84 7.28 .0314 3 0.84 0.67 .0315 9 0.84 7.47 .0316 8 0.84 6.60 .0317 4 0.84 0.71 .0318 6 0.84 5.56 .0319 5 0.84 4.05 EXTRACT_IMAGE: sdR-r1-00034589.fit: masked 1191 pixels SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 0 median sigma(arc)= 0.87531972 sigma(sky)= -7146.3127 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 0 sigma^2(add)= 51108038. +/- 36507892. SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 1 median sigma(arc)= 0.86891046 sigma(sky)= 1.4744600 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 1 sigma^2(add)= 1.3968525 +/- 0.38971488 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 2 median sigma(arc)= 0.85104461 sigma(sky)= -393.16047 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 2 sigma^2(add)= 1.3063355 +/- 2554451.9 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 3 median sigma(arc)= 0.82247143 sigma(sky)= -1766.6102 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 3 sigma^2(add)= 3120962.4 +/- 3736313.0 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 4 median sigma(arc)= 0.82080858 sigma(sky)= 0.76847150 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 4 sigma^2(add)= 1.9026964 +/- 916639.57 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 5 median sigma(arc)= 0.79558115 sigma(sky)= 1.0075590 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 5 sigma^2(add)= 0.42383784 +/- 1.3621668 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 6 median sigma(arc)= 0.79414103 sigma(sky)= 1.0682251 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 6 sigma^2(add)= 0.51044991 +/- 0.26859060 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 7 median sigma(arc)= 0.79426246 sigma(sky)= 1.2137212 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 7 sigma^2(add)= 0.84226807 +/- 0.28286584 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 8 median sigma(arc)= 0.81323468 sigma(sky)= 0.84845759 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 8 sigma^2(add)= 0.058575075 +/- 0.24406446 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 9 median sigma(arc)= 0.81518801 sigma(sky)= 0.80165725 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 9 sigma^2(add)= -0.021693872 +/- 0.32317897 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 10 median sigma(arc)= 0.85586764 sigma(sky)= 0.87902233 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 10 sigma^2(add)= 0.040233526 +/- 0.11866087 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 11 median sigma(arc)= 0.85981438 sigma(sky)= 0.99178922 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Line # 11 sigma^2(add)= 0.24437088 +/- 0.23826979 SKYLINE_DISPERSION: sdR-r1-00034589.fit: Flexure sigma^2(add) = 0.054241535 +/- 0.18307432 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034589.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034589.fit: Heliocentric correction = 23.597654 km/s FITVACSET: sdR-r1-00034589.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034589.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034589.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034589.fit: Number of pixels rejected: 2 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034589.fit: Number of sky fibers = 20 SKYSUBTRACT: sdR-r1-00034589.fit: Airmass range = 1.29993 1.35059 SKYSUBTRACT: sdR-r1-00034589.fit: Discarding 0.00471191 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 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highest x value, changing SKYSUBTRACT: sdR-r1-00034589.fit: Median sky-residual chi2 = 4.38218 SKYSUBTRACT: sdR-r1-00034589.fit: Max sky-residual chi2 = 19.5386 REDMONSTER: sdR-r1-00034589.fit: WARNING: Bad sky residuals at 6257 to 6297 Ang; Peak chi= 3.75 EXTRACT_OBJECT: sdR-r1-00034589.fit: Calling skysubtract again; masked skyfibers 44 283 289 SKYSUBTRACT: sdR-r1-00034589.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-r1-00034589.fit: Airmass range = 1.29993 1.35059 SKYSUBTRACT: sdR-r1-00034589.fit: Discarding 0.00129251 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 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of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034589.fit: Median sky-residual chi2 = 2.90346 SKYSUBTRACT: sdR-r1-00034589.fit: Max sky-residual chi2 = 11.1380 QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 79 = -10.5255 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 90 = 25.6593 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 102 = 58.0819 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 124 = 35.7006 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 125 = 45.9270 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 127 = 78.0866 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 135 = 52.7107 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 204 = -14.3439 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 256 = -47.2762 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 263 = -69.1421 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 312 = -123.569 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 315 = -38.8705 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 318 = -19.8917 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Median sky-residual chi = 1.74740 QAPLOT_SKYSUB: sdR-r1-00034589.fit: Max sky-residual chi = 3.51744 at 8950.1603 Ang SKYSUBTRACT: sdR-r1-00034589.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-r1-00034589.fit: Airmass range = 1.29993 1.35059 SKYSUBTRACT: sdR-r1-00034589.fit: Discarding 0.00129251 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 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Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034589.fit: Median sky-residual chi2 = 2.29588 SKYSUBTRACT: sdR-r1-00034589.fit: Max sky-residual chi2 = 11.8851 QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 71 = -19.7766 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 79 = -30.8608 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 96 = -24.1983 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 102 = 34.3121 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 125 = 14.8671 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 127 = 50.5212 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 135 = 25.4353 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 204 = -27.7756 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 246 = 18.2068 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 256 = -30.1150 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 263 = -42.9289 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 312 = -51.1736 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 315 = 35.8035 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Warning: Median sky-sub flux in sky fiber 318 = 52.3312 electrons QAPLOT_SKYSUB: sdR-r1-00034589.fit: Median sky-residual chi = 1.53619 QAPLOT_SKYSUB: sdR-r1-00034589.fit: Max sky-residual chi = 3.50759 at 7929.1127 Ang % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r1-00034589.fit: Airmass range = 1.30 1.35 QAPLOT_SKYLINE: sdR-r1-00034589.fit: Flux dispersion for skyline 7343.0 = 6.90 % QAPLOT_SKYLINE: sdR-r1-00034589.fit: Airmass range = 1.30 1.35 QAPLOT_SKYLINE: sdR-r1-00034589.fit: Flux dispersion for skyline 8888.3 = 1.95 % SPADD_GUIDERINFO: sdR-r1-00034589.fit: Number of guider frames = 24 SPREDUCE: sdR-r1-00034589.fit: Elapsed time = 196. seconds SPREDUCE: sdR-r1-00034590.fit: Reading object sdR-r1-00034590.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034590.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034590.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034590.fit: Measured read-noise in DN for amp# 2 = 3.86843 SDSSPROC: sdR-r1-00034590.fit: Measured bias value in DN for amp# 2 = 1192.56 SDSSPROC: sdR-r1-00034590.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034590.fit: Amp #2 Number of pix below bias-5*sigma= 1172. DN is 0 SDSSPROC: sdR-r1-00034590.fit: Measured read-noise in DN for amp# 3 = 3.64825 SDSSPROC: sdR-r1-00034590.fit: Measured bias value in DN for amp# 3 = 1241.30 SDSSPROC: sdR-r1-00034590.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034590.fit: Amp #3 Number of pix below bias-5*sigma= 1221. DN is 0 SDSSPROC: sdR-r1-00034590.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034590.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034590.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034590.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034590.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034590.fit: Science 25-th-percentile = 545.894 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034590.fit: Whopping fibers: 7 36 42 47 53 55 58 66 71 77 80 83 93 99 121 125 127 130 133 135 149 205 211 217 220 224 226 241 243 250 253 257 265 270 272 276 291 293 303 307 310 313 315 EXTRACT_OBJECT: sdR-r1-00034590.fit: Median counts in all fibers = 17289.9 EXTRACT_OBJECT: sdR-r1-00034590.fit: Number of bright fibers = 43 EXTRACT_OBJECT: sdR-r1-00034590.fit: Sky fiber median 1973.01 EXTRACT_OBJECT: sdR-r1-00034590.fit: 5% and 95% count levels 1012.53 35453.8 EXTRACT_OBJECT: sdR-r1-00034590.fit: WARNING: Disable whopping terms sdR-r1-00034590.fit MATCH_TRACE: sdR-r1-00034590.fit: Iteration: 0 Pixels Rejected: 14067 Finished? 0 MATCH_TRACE: sdR-r1-00034590.fit: Iteration: 1 Pixels Rejected: 283 Finished? 0 MATCH_TRACE: sdR-r1-00034590.fit: Iteration: 2 Pixels Rejected: 15 Finished? 0 MATCH_TRACE: sdR-r1-00034590.fit: Iteration: 3 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: sdR-r1-00034590.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r1-00034590.fit: Shifting traces by match_trace 0.0364990 EXTRACT_OBJECT: sdR-r1-00034590.fit: Extracting frame sdR-r1-00034590.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034590.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 2 1.04 1.62 .0001 2 1.04 1.46 .0002 3 1.04 1.51 .0003 2 1.04 1.66 .0004 2 1.04 1.53 .0005 3 1.04 1.58 .0006 3 1.04 1.58 .0007 3 1.04 1.63 .0008 2 1.04 1.66 .0009 3 1.04 1.66 .0010 3 1.04 1.58 .0011 1 1.04 1.92 .0012 2 1.04 1.85 .0013 2 1.04 2.05 .0014 4 1.04 1.70 .0015 1 1.04 1.81 .0016 2 1.04 1.83 .0017 3 1.04 1.81 .0018 2 1.04 1.97 .0019 3 1.03 1.84 .0020 3 1.03 1.80 .0021 3 1.03 1.98 .0022 2 1.03 2.33 .0023 4 1.03 1.96 .0024 3 1.03 2.14 .0025 3 1.03 2.20 .0026 2 1.03 2.36 .0027 1 1.03 2.29 .0028 2 1.03 2.25 .0029 3 1.03 2.21 .0030 2 1.03 2.18 .0031 1 1.03 2.46 .0032 1 1.03 2.40 .0033 1 1.03 2.37 .0034 1 1.03 2.42 .0035 1 1.03 2.48 .0036 1 1.03 2.71 .0037 2 1.03 2.58 .0038 3 1.03 2.65 .0039 4 1.03 2.73 .0040 1 1.03 2.77 .0041 1 1.03 2.88 .0042 1 1.03 2.89 .0043 2 1.03 2.96 .0044 2 1.03 3.27 .0045 1 1.03 3.06 .0046 2 1.03 3.01 .0047 3 1.03 3.10 .0048 3 1.03 3.32 .0049 1 1.03 3.33 .0050 2 1.03 3.22 .0051 1 1.03 3.47 .0052 3 1.03 3.25 .0053 1 1.03 3.59 .0054 1 1.03 3.35 .0055 2 1.03 3.49 .0056 1 1.03 3.58 .0057 3 1.03 3.85 .0058 1 1.03 3.95 .0059 2 1.03 3.90 .0060 2 1.03 3.93 .0061 2 1.03 4.07 .0062 1 1.03 4.13 .0063 2 1.03 4.40 .0064 2 1.03 4.24 .0065 2 1.03 4.39 .0066 3 1.03 4.56 .0067 3 1.03 4.51 .0068 2 1.03 4.60 .0069 3 1.03 5.07 .0070 2 1.03 5.60 .0071 3 1.02 5.24 .0072 3 1.02 5.09 .0073 2 1.02 5.99 .0074 3 1.02 5.19 .0075 3 1.02 5.09 .0076 3 1.02 4.85 .0077 2 1.02 5.56 .0078 3 1.02 5.32 .0079 1 1.02 5.23 .0080 2 1.02 5.30 .0081 2 1.02 5.39 .0082 2 1.02 5.60 .0083 1 1.02 5.58 .0084 2 1.02 5.58 .0085 2 1.02 5.54 .0086 1 1.02 5.92 .0087 1 1.02 5.76 .0088 2 1.02 6.11 .0089 1 1.02 5.82 .0090 2 1.02 6.11 .0091 2 1.02 6.05 .0092 2 1.02 6.15 .0093 3 1.02 6.00 .0094 1 1.02 5.88 .0095 1 1.02 5.90 .0096 1 1.02 5.94 .0097 1 1.02 6.01 .0098 1 1.02 6.16 .0099 1 1.02 6.02 .0100 1 1.02 6.74 .0101 3 1.02 6.13 .0102 2 1.02 6.85 .0103 1 1.02 6.32 .0104 2 1.02 6.71 .0105 1 1.02 6.28 .0106 2 1.02 6.66 .0107 3 1.02 6.45 .0108 3 1.02 6.72 .0109 2 1.02 6.60 .0110 2 1.02 7.10 .0111 1 1.02 6.97 .0112 1 1.02 6.71 .0113 1 1.02 6.83 .0114 2 1.02 6.50 .0115 1 1.02 6.88 .0116 1 1.02 6.77 .0117 1 1.02 7.04 .0118 2 1.02 7.15 .0119 1 1.02 6.83 .0120 1 1.02 6.88 .0121 3 1.02 7.22 .0122 2 1.02 7.16 .0123 1 1.02 7.52 .0124 3 1.02 7.46 .0125 1 1.02 8.84 .0126 2 1.02 7.28 .0127 2 1.02 7.24 .0128 2 1.01 7.53 .0129 1 1.01 6.76 .0130 1 1.01 7.09 .0131 1 1.01 7.15 .0132 1 1.01 7.12 .0133 1 1.01 6.64 .0134 1 1.01 6.89 .0135 1 1.01 6.93 .0136 2 1.01 7.00 .0137 3 1.01 6.87 .0138 2 1.01 6.80 .0139 1 1.01 6.80 .0140 2 1.01 6.66 .0141 1 1.01 7.21 .0142 1 1.01 6.75 .0143 2 1.01 7.40 .0144 2 1.01 7.90 .0145 3 1.01 6.72 .0146 1 1.01 7.26 .0147 3 1.01 7.92 .0148 2 1.01 7.37 .0149 1 1.01 6.90 .0150 2 1.01 6.80 .0151 1 1.01 6.62 .0152 1 1.01 6.64 .0153 2 1.01 6.72 .0154 2 1.01 6.63 .0155 2 1.01 7.01 .0156 1 1.01 6.69 .0157 1 1.01 6.76 .0158 2 1.01 7.66 .0159 2 1.01 7.11 .0160 1 1.01 7.69 .0161 2 1.01 7.21 .0162 1 1.01 6.93 .0163 1 1.01 6.66 .0164 2 1.01 6.67 .0165 1 1.01 6.64 .0166 2 1.01 6.60 .0167 3 1.01 7.68 .0168 2 1.01 6.59 .0169 3 1.01 6.81 .0170 1 1.01 6.51 .0171 2 1.01 6.76 .0172 1 1.01 6.52 .0173 1 1.01 6.88 .0174 1 1.01 6.47 .0175 2 1.01 7.01 .0176 1 1.01 6.56 .0177 2 1.01 6.67 .0178 2 1.01 6.31 .0179 2 1.01 6.89 .0180 2 1.01 6.58 .0181 1 1.01 6.46 .0182 1 1.01 6.45 .0183 1 1.01 6.48 .0184 2 1.01 6.39 .0185 1 1.01 6.46 .0186 3 1.01 6.43 .0187 1 1.01 7.00 .0188 2 1.01 6.82 .0189 3 1.01 6.58 .0190 1 1.01 6.63 .0191 1 1.00 6.96 .0192 1 1.00 6.59 .0193 2 1.00 6.60 .0194 1 1.00 6.80 .0195 1 1.00 6.20 .0196 1 1.00 6.52 .0197 1 1.00 7.03 .0198 2 1.00 7.22 .0199 2 1.00 7.09 .0200 2 1.00 6.88 .0201 2 1.00 6.94 .0202 1 1.00 6.84 .0203 2 1.00 6.56 .0204 1 1.00 6.64 .0205 2 1.00 6.57 .0206 1 1.00 6.71 .0207 3 1.00 6.82 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8.75 .1686 1 0.92 9.16 .1687 2 0.92 9.02 .1688 2 0.92 8.52 .1689 2 0.92 9.23 .1690 3 0.92 8.76 .1691 1 0.92 8.64 .1692 1 0.92 8.83 .1693 1 0.92 9.13 .1694 1 0.92 8.96 .1695 2 0.92 8.91 .1696 2 0.92 8.69 .1697 2 0.92 8.88 .1698 2 0.92 8.86 .1699 3 0.92 9.35 .1700 2 0.92 8.84 .1701 2 0.92 8.93 .1702 2 0.92 9.65 .1703 2 0.92 8.90 .1704 2 0.92 9.30 .1705 3 0.92 9.80 .1706 2 0.92 8.68 .1707 1 0.92 8.46 .1708 2 0.92 8.78 .1709 2 0.92 8.37 .1710 1 0.92 8.44 .1711 2 0.92 8.43 .1712 1 0.92 8.17 .1713 2 0.92 8.36 .1714 1 0.92 8.18 .1715 1 0.92 8.52 .1716 1 0.92 8.24 .1717 1 0.92 8.83 .1718 1 0.92 8.18 .1719 2 0.92 8.39 .1720 2 0.92 8.53 .1721 2 0.92 8.24 .1722 2 0.92 8.31 .1723 1 0.92 8.49 .1724 1 0.92 8.42 .1725 3 0.92 8.37 .1726 1 0.92 8.55 .1727 2 0.92 9.37 .1728 2 0.92 8.73 .1729 1 0.92 8.61 .1730 1 0.92 8.93 .1731 1 0.92 8.38 .1732 1 0.92 8.12 .1733 1 0.92 8.20 .1734 2 0.92 7.83 .1735 1 0.92 9.07 .1736 2 0.92 8.79 .1737 1 0.92 8.64 .1738 1 0.92 8.20 .1739 1 0.92 8.52 .1740 1 0.92 7.91 .1741 1 0.92 8.10 .1742 1 0.92 8.22 .1743 1 0.92 7.85 .1744 3 0.92 7.61 .1745 2 0.92 8.26 .1746 2 0.92 7.72 .1747 1 0.92 8.04 .1748 2 0.92 7.71 .1749 2 0.92 7.67 .1750 1 0.92 7.84 .1751 1 0.92 7.23 .1752 2 0.92 7.55 .1753 1 0.92 7.52 .1754 2 0.92 7.95 .1755 1 0.92 8.33 .1756 5 0.92 7.84 .1757 2 0.92 8.38 .1758 1 0.92 7.77 .1759 2 0.92 8.06 .1760 2 0.92 7.86 .1761 1 0.92 7.93 .1762 1 0.92 8.14 .1763 1 0.92 8.01 .1764 1 0.92 8.07 .1765 1 0.92 8.21 .1766 2 0.92 9.07 .1767 1 0.92 8.18 .1768 2 0.92 8.13 .1769 2 0.92 8.00 .1770 2 0.92 7.99 .1771 1 0.92 8.28 .1772 2 0.92 7.88 .1773 2 0.92 8.08 .1774 2 0.92 8.15 .1775 2 0.92 7.90 .1776 2 0.92 8.26 .1777 1 0.92 7.73 .1778 1 0.92 8.04 .1779 2 0.92 7.71 .1780 2 0.92 8.80 .1781 1 0.92 8.54 .1782 1 0.92 8.03 .1783 1 0.92 8.33 .1784 2 0.92 8.50 .1785 2 0.92 8.09 .1786 1 0.92 9.45 .1787 1 0.92 8.51 .1788 2 0.92 8.18 .1789 1 0.92 8.18 .1790 1 0.92 7.89 .1791 1 0.92 8.10 .1792 2 0.92 7.92 .1793 1 0.92 7.80 .1794 1 0.92 8.23 .1795 1 0.92 7.56 .1796 1 0.92 8.00 .1797 1 0.92 7.81 .1798 1 0.92 7.68 .1799 1 0.92 7.65 .1800 1 0.92 7.63 .1801 1 0.92 7.47 .1802 1 0.92 7.46 .1803 3 0.92 8.54 .1804 2 0.92 8.09 .1805 2 0.92 8.37 .1806 1 0.92 7.72 .1807 3 0.92 8.51 .1808 1 0.92 7.97 .1809 2 0.92 7.67 .1810 3 0.92 8.07 .1811 1 0.92 7.77 .1812 2 0.92 8.00 .1813 2 0.92 8.27 .1814 3 0.92 8.02 .1815 2 0.92 7.95 .1816 1 0.92 8.08 .1817 1 0.92 8.19 .1818 1 0.92 7.79 .1819 1 0.92 8.06 .1820 3 0.92 7.72 .1821 2 0.92 7.80 .1822 2 0.92 8.12 .1823 1 0.92 8.27 .1824 1 0.92 8.13 .1825 1 0.92 7.97 .1826 1 0.92 8.07 .1827 2 0.92 7.96 .1828 1 0.92 8.01 .1829 1 0.92 8.18 .1830 1 0.92 8.35 .1831 2 0.92 8.41 .1832 2 0.92 8.37 .1833 4 0.92 8.27 .1834 1 0.92 8.02 .1835 1 0.92 8.18 .1836 2 0.92 8.66 .1837 1 0.92 8.13 .1838 2 0.92 7.87 .1839 1 0.92 7.67 .1840 1 0.92 8.04 .1841 2 0.92 7.87 .1842 1 0.92 7.90 .1843 1 0.92 7.88 .1844 1 0.92 8.47 .1845 1 0.92 8.06 .1846 1 0.92 8.46 .1847 1 0.91 8.40 .1848 1 0.91 7.94 .1849 1 0.91 8.27 .1850 1 0.91 7.74 .1851 1 0.91 7.99 .1852 1 0.91 7.75 .1853 1 0.91 7.85 .1854 1 0.91 8.69 .1855 1 0.91 7.83 .1856 1 0.91 7.78 .1857 3 0.91 7.92 .1858 2 0.91 7.99 .1859 1 0.91 7.97 .1860 3 0.91 8.12 .1861 1 0.91 8.35 .1862 2 0.91 8.24 .1863 1 0.91 8.20 .1864 2 0.91 7.82 .1865 3 0.91 8.01 .1866 4 0.91 8.29 .1867 2 0.91 8.00 .1868 3 0.91 8.29 .1869 2 0.91 8.93 .1870 1 0.91 8.17 .1871 2 0.91 8.48 .1872 3 0.91 8.15 .1873 1 0.91 8.60 .1874 1 0.91 8.20 .1875 1 0.91 7.97 .1876 1 0.91 8.42 .1877 2 0.91 9.13 .1878 1 0.91 8.79 .1879 1 0.91 9.13 .1880 1 0.91 8.29 .1881 2 0.91 8.30 .1882 1 0.91 8.23 .1883 1 0.91 8.25 .1884 1 0.91 8.45 .1885 1 0.91 8.54 .1886 1 0.91 8.24 .1887 2 0.91 8.47 .1888 1 0.91 8.46 .1889 2 0.91 8.79 .1890 1 0.91 8.44 .1891 1 0.91 8.35 .1892 2 0.91 8.37 .1893 2 0.91 9.14 .1894 1 0.91 8.64 .1895 1 0.91 8.39 .1896 1 0.91 8.45 .1897 2 0.91 8.03 .1898 3 0.91 8.47 .1899 1 0.91 8.20 .1900 2 0.91 8.16 .1901 1 0.91 8.11 .1902 2 0.91 8.47 .1903 1 0.91 8.38 .1904 1 0.91 8.22 .1905 2 0.91 8.56 .1906 2 0.91 8.25 .1907 1 0.91 8.48 .1908 1 0.91 8.79 .1909 1 0.91 9.25 .1910 1 0.91 8.39 .1911 1 0.91 8.76 .1912 2 0.91 8.08 .1913 2 0.91 8.50 .1914 2 0.91 8.41 .1915 2 0.91 8.10 .1916 3 0.91 8.09 .1917 1 0.91 7.93 .1918 1 0.91 7.80 .1919 3 0.91 7.71 .1920 4 0.91 7.86 .1921 2 0.91 8.06 .1922 1 0.91 8.19 .1923 1 0.91 7.89 .1924 2 0.91 7.80 .1925 3 0.91 7.81 .1926 1 0.91 8.19 .1927 1 0.91 7.74 .1928 2 0.91 8.64 .1929 1 0.91 7.66 .1930 1 0.91 7.61 .1931 2 0.91 7.78 .1932 1 0.91 7.87 .1933 2 0.91 7.58 .1934 1 0.91 7.63 .1935 1 0.91 7.69 .1936 1 0.91 7.39 .1937 1 0.91 7.45 .1938 2 0.91 8.28 .1939 1 0.91 7.56 .1940 1 0.91 7.27 .1941 4 0.91 7.33 .1942 4 0.91 8.28 .1943 1 0.91 7.50 .1944 2 0.91 7.50 .1945 2 0.91 7.65 .1946 2 0.91 7.50 .1947 2 0.91 7.56 .1948 1 0.91 7.43 .1949 2 0.91 7.57 .1950 1 0.91 7.80 .1951 3 0.91 7.52 .1952 3 0.92 7.69 .1953 2 0.92 8.06 .1954 2 0.92 8.31 .1955 3 0.92 7.98 .1956 3 0.92 8.15 .1957 1 0.92 8.68 .1958 1 0.92 8.78 .1959 1 0.92 8.31 .1960 2 0.92 8.25 .1961 2 0.92 8.38 .1962 1 0.92 8.63 .1963 1 0.92 8.84 .1964 1 0.92 8.19 .1965 3 0.92 8.40 .1966 3 0.92 8.89 .1967 2 0.92 8.96 .1968 1 0.92 7.98 .1969 1 0.92 7.80 .1970 1 0.92 8.33 .1971 1 0.92 8.72 .1972 1 0.92 8.55 .1973 1 0.92 7.93 .1974 1 0.92 7.72 .1975 2 0.92 7.74 .1976 2 0.92 7.48 .1977 2 0.92 7.87 .1978 1 0.92 7.86 .1979 3 0.92 8.38 .1980 2 0.92 8.44 .1981 1 0.92 7.94 .1982 1 0.92 8.57 .1983 2 0.92 7.88 .1984 2 0.92 8.18 .1985 2 0.92 7.31 .1986 2 0.92 9.06 .1987 2 0.92 8.64 .1988 1 0.92 7.83 .1989 2 0.92 8.19 .1990 1 0.92 8.39 .1991 3 0.92 8.59 .1992 3 0.92 8.93 .1993 2 0.92 7.90 .1994 2 0.92 8.12 .1995 2 0.92 8.52 .1996 2 0.92 8.12 .1997 3 0.92 8.68 .1998 1 0.92 8.33 .1999 2 0.92 8.37 .2000 1 0.92 8.11 .2001 1 0.92 8.22 .2002 2 0.92 9.55 .2003 2 0.92 8.03 .2004 1 0.92 8.20 .2005 1 0.92 8.76 .2006 1 0.92 7.70 .2007 3 0.92 8.13 .2008 2 0.92 8.55 .2009 1 0.92 8.27 .2010 2 0.92 8.04 .2011 1 0.92 8.44 .2012 2 0.92 8.66 .2013 2 0.92 8.31 .2014 1 0.92 8.12 .2015 2 0.92 8.72 .2016 2 0.92 8.18 .2017 3 0.92 8.25 .2018 3 0.92 8.64 .2019 2 0.92 8.48 .2020 1 0.92 7.83 .2021 1 0.92 7.97 .2022 2 0.92 8.13 .2023 1 0.92 7.81 .2024 2 0.92 7.75 .2025 1 0.92 7.92 .2026 1 0.92 7.47 .2027 2 0.92 7.57 .2028 1 0.92 7.89 .2029 1 0.92 8.22 .2030 2 0.92 7.80 .2031 2 0.92 8.23 .2032 3 0.92 7.98 .2033 4 0.92 8.32 .2034 2 0.92 8.05 .2035 1 0.92 7.79 .2036 2 0.92 8.12 .2037 1 0.92 7.69 .2038 1 0.92 7.91 .2039 1 0.92 7.84 .2040 1 0.92 7.79 .2041 1 0.92 8.06 .2042 1 0.92 7.70 .2043 2 0.92 8.14 .2044 2 0.92 8.44 .2045 3 0.92 8.65 .2046 4 0.92 8.97 .2047 1 0.92 7.94 EXTRACT_IMAGE: sdR-r1-00034590.fit: masked 1431 pixels EXTRACT_OBJECT: sdR-r1-00034590.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034590.fit: WARNING: Scattered light median = 267.180 electrons QAPLOT_SCATLIGHT: sdR-r1-00034590.fit: WARNING: Scattered light max = 627.457 electrons EXTRACT_OBJECT: sdR-r1-00034590.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034590.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034590.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034590.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.16 Step 20 of 2112 0.58 96 0.02 0.18 Step 28 of 2112 0.58 96 0.02 0.16 Step 36 of 2112 0.58 96 0.02 0.17 Step 44 of 2112 0.58 96 0.03 0.17 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.16 Step 76 of 2112 0.59 96 0.02 0.17 Step 84 of 2112 0.59 96 0.02 0.17 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.59 96 0.02 0.16 Step 108 of 2112 0.59 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.17 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.16 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.60 96 0.02 0.15 Step 172 of 2112 0.60 96 0.02 0.15 Step 180 of 2112 0.60 96 0.03 0.16 Step 188 of 2112 0.61 96 0.02 0.14 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.15 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.61 96 0.02 0.17 Step 236 of 2112 0.61 96 0.02 0.16 Step 244 of 2112 0.61 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.62 96 0.02 0.15 Step 308 of 2112 0.62 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.14 Step 332 of 2112 0.63 96 0.02 0.16 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.16 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.63 96 0.02 0.14 Step 372 of 2112 0.63 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.16 Step 396 of 2112 0.64 96 0.02 0.16 Step 404 of 2112 0.64 96 0.02 0.19 Step 412 of 2112 0.64 96 0.02 0.16 Step 420 of 2112 0.64 96 0.02 0.16 Step 428 of 2112 0.64 96 0.03 0.18 Step 436 of 2112 0.64 96 0.02 0.18 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.14 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.02 0.22 Step 492 of 2112 0.65 128 0.02 0.22 Step 500 of 2112 0.65 128 0.03 0.20 Step 508 of 2112 0.66 128 0.02 0.21 Step 516 of 2112 0.66 128 0.02 0.22 Step 524 of 2112 0.66 128 0.02 0.22 Step 532 of 2112 0.66 128 0.03 0.24 Step 540 of 2112 0.66 128 0.02 0.22 Step 548 of 2112 0.66 128 0.02 0.20 Step 556 of 2112 0.66 128 0.02 0.21 Step 564 of 2112 0.66 128 0.02 0.21 Step 572 of 2112 0.67 128 0.02 0.21 Step 580 of 2112 0.67 128 0.02 0.20 Step 588 of 2112 0.67 128 0.02 0.20 Step 596 of 2112 0.67 128 0.02 0.20 Step 604 of 2112 0.67 128 0.02 0.20 Step 612 of 2112 0.67 128 0.02 0.20 Step 620 of 2112 0.67 128 0.02 0.19 Step 628 of 2112 0.67 128 0.02 0.19 Step 636 of 2112 0.68 128 0.02 0.22 Step 644 of 2112 0.68 128 0.02 0.22 Step 652 of 2112 0.68 128 0.02 0.20 Step 660 of 2112 0.68 128 0.02 0.20 Step 668 of 2112 0.68 128 0.03 0.21 Step 676 of 2112 0.68 128 0.03 0.22 Step 684 of 2112 0.68 128 0.02 0.20 Step 692 of 2112 0.69 128 0.02 0.20 Step 700 of 2112 0.69 128 0.03 0.21 Step 708 of 2112 0.69 128 0.02 0.22 Step 716 of 2112 0.69 128 0.02 0.21 Step 724 of 2112 0.69 128 0.02 0.23 Step 732 of 2112 0.69 128 0.02 0.21 Step 740 of 2112 0.69 128 0.02 0.20 Step 748 of 2112 0.69 128 0.02 0.19 Step 756 of 2112 0.70 128 0.02 0.20 Step 764 of 2112 0.70 128 0.02 0.21 Step 772 of 2112 0.70 128 0.02 0.21 Step 780 of 2112 0.70 128 0.02 0.21 Step 788 of 2112 0.70 128 0.03 0.21 Step 796 of 2112 0.70 128 0.03 0.20 Step 804 of 2112 0.70 128 0.02 0.20 Step 812 of 2112 0.70 128 0.02 0.22 Step 820 of 2112 0.71 128 0.02 0.21 Step 828 of 2112 0.71 128 0.03 0.21 Step 836 of 2112 0.71 128 0.03 0.20 Step 844 of 2112 0.71 128 0.03 0.21 Step 852 of 2112 0.71 128 0.02 0.22 Step 860 of 2112 0.71 128 0.02 0.20 Step 868 of 2112 0.71 128 0.02 0.22 Step 876 of 2112 0.72 128 0.03 0.22 Step 884 of 2112 0.72 128 0.03 0.22 Step 892 of 2112 0.72 128 0.04 0.21 Step 900 of 2112 0.72 128 0.03 0.20 Step 908 of 2112 0.72 128 0.03 0.21 Step 916 of 2112 0.72 128 0.03 0.22 Step 924 of 2112 0.72 128 0.03 0.21 Step 932 of 2112 0.72 128 0.03 0.20 Step 940 of 2112 0.73 128 0.03 0.21 Step 948 of 2112 0.73 128 0.03 0.21 Step 956 of 2112 0.73 128 0.03 0.20 Step 964 of 2112 0.73 128 0.03 0.20 Step 972 of 2112 0.73 128 0.04 0.21 Step 980 of 2112 0.73 160 0.04 0.34 Step 988 of 2112 0.73 160 0.04 0.34 Step 996 of 2112 0.74 160 0.04 0.33 Step 1004 of 2112 0.74 160 0.03 0.34 Step 1012 of 2112 0.74 160 0.04 0.33 Step 1020 of 2112 0.74 160 0.04 0.34 Step 1028 of 2112 0.74 160 0.04 0.35 Step 1036 of 2112 0.74 160 0.04 0.34 Step 1044 of 2112 0.74 160 0.03 0.34 Step 1052 of 2112 0.75 160 0.04 0.36 Step 1060 of 2112 0.75 160 0.04 0.35 Step 1068 of 2112 0.75 160 0.03 0.33 Step 1076 of 2112 0.75 160 0.04 0.34 Step 1084 of 2112 0.75 160 0.03 0.34 Step 1092 of 2112 0.75 160 0.04 0.34 Step 1100 of 2112 0.75 160 0.03 0.33 Step 1108 of 2112 0.75 160 0.04 0.35 Step 1116 of 2112 0.76 160 0.04 0.34 Step 1124 of 2112 0.76 160 0.04 0.33 Step 1132 of 2112 0.76 160 0.04 0.33 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.03 0.33 Step 1156 of 2112 0.76 160 0.04 0.34 Step 1164 of 2112 0.76 160 0.04 0.33 Step 1172 of 2112 0.77 160 0.04 0.35 Step 1180 of 2112 0.77 160 0.04 0.34 Step 1188 of 2112 0.77 160 0.03 0.33 Step 1196 of 2112 0.77 160 0.04 0.34 Step 1204 of 2112 0.77 160 0.03 0.37 Step 1212 of 2112 0.77 160 0.04 0.38 Step 1220 of 2112 0.77 160 0.04 0.33 Step 1228 of 2112 0.78 160 0.04 0.35 Step 1236 of 2112 0.78 160 0.04 0.34 Step 1244 of 2112 0.78 160 0.04 0.34 Step 1252 of 2112 0.78 160 0.04 0.34 Step 1260 of 2112 0.78 160 0.04 0.34 Step 1268 of 2112 0.78 160 0.04 0.34 Step 1276 of 2112 0.78 160 0.03 0.32 Step 1284 of 2112 0.78 160 0.05 0.35 Step 1292 of 2112 0.79 160 0.04 0.36 Step 1300 of 2112 0.79 160 0.04 0.34 Step 1308 of 2112 0.79 160 0.04 0.35 Step 1316 of 2112 0.79 160 0.04 0.33 Step 1324 of 2112 0.79 160 0.04 0.34 Step 1332 of 2112 0.79 160 0.04 0.33 Step 1340 of 2112 0.79 160 0.04 0.33 Step 1348 of 2112 0.80 160 0.03 0.33 Step 1356 of 2112 0.80 160 0.03 0.35 Step 1364 of 2112 0.80 192 0.04 0.40 Step 1372 of 2112 0.80 192 0.05 0.40 Step 1380 of 2112 0.80 192 0.04 0.38 Step 1388 of 2112 0.80 192 0.06 0.42 Step 1396 of 2112 0.80 192 0.04 0.41 Step 1404 of 2112 0.81 192 0.04 0.41 Step 1412 of 2112 0.81 192 0.04 0.38 Step 1420 of 2112 0.81 192 0.03 0.39 Step 1428 of 2112 0.81 192 0.05 0.37 Step 1436 of 2112 0.81 192 0.05 0.39 Step 1444 of 2112 0.81 192 0.04 0.37 Step 1452 of 2112 0.81 192 0.04 0.38 Step 1460 of 2112 0.82 192 0.04 0.38 Step 1468 of 2112 0.82 192 0.04 0.38 Step 1476 of 2112 0.82 192 0.04 0.39 Step 1484 of 2112 0.82 192 0.04 0.39 Step 1492 of 2112 0.82 192 0.04 0.38 Step 1500 of 2112 0.82 192 0.04 0.38 Step 1508 of 2112 0.82 192 0.04 0.41 Step 1516 of 2112 0.83 192 0.04 0.40 Step 1524 of 2112 0.83 192 0.04 0.40 Step 1532 of 2112 0.83 192 0.05 0.40 Step 1540 of 2112 0.83 192 0.04 0.41 Step 1548 of 2112 0.83 192 0.04 0.41 Step 1556 of 2112 0.83 192 0.04 0.40 Step 1564 of 2112 0.83 192 0.04 0.38 Step 1572 of 2112 0.84 192 0.05 0.39 Step 1580 of 2112 0.84 192 0.06 0.42 Step 1588 of 2112 0.84 192 0.04 0.39 Step 1596 of 2112 0.84 192 0.03 0.37 Step 1604 of 2112 0.84 192 0.04 0.42 Step 1612 of 2112 0.84 192 0.04 0.37 Step 1620 of 2112 0.84 192 0.04 0.40 Step 1628 of 2112 0.84 192 0.04 0.38 Step 1636 of 2112 0.85 192 0.04 0.39 Step 1644 of 2112 0.85 192 0.04 0.40 Step 1652 of 2112 0.85 192 0.04 0.39 Step 1660 of 2112 0.85 192 0.04 0.38 Step 1668 of 2112 0.85 192 0.04 0.40 Step 1676 of 2112 0.85 192 0.04 0.40 Step 1684 of 2112 0.85 192 0.04 0.39 Step 1692 of 2112 0.86 224 0.07 0.53 Step 1700 of 2112 0.86 224 0.05 0.53 Step 1708 of 2112 0.86 224 0.05 0.48 Step 1716 of 2112 0.86 224 0.04 0.52 Step 1724 of 2112 0.86 224 0.05 0.52 Step 1732 of 2112 0.86 224 0.04 0.50 Step 1740 of 2112 0.86 224 0.04 0.49 Step 1748 of 2112 0.87 224 0.06 0.50 Step 1756 of 2112 0.87 224 0.06 0.53 Step 1764 of 2112 0.87 224 0.06 0.53 Step 1772 of 2112 0.87 224 0.05 0.48 Step 1780 of 2112 0.87 224 0.05 0.47 Step 1788 of 2112 0.87 224 0.04 0.46 Step 1796 of 2112 0.87 224 0.04 0.47 Step 1804 of 2112 0.88 224 0.04 0.46 Step 1812 of 2112 0.88 224 0.05 0.47 Step 1820 of 2112 0.88 224 0.04 0.48 Step 1828 of 2112 0.88 224 0.04 0.52 Step 1836 of 2112 0.88 224 0.04 0.48 Step 1844 of 2112 0.88 224 0.05 0.51 Step 1852 of 2112 0.88 224 0.04 0.50 Step 1860 of 2112 0.89 224 0.04 0.51 Step 1868 of 2112 0.89 224 0.03 0.47 Step 1876 of 2112 0.89 224 0.03 0.47 Step 1884 of 2112 0.89 224 0.03 0.46 Step 1892 of 2112 0.89 224 0.04 0.47 Step 1900 of 2112 0.89 224 0.03 0.46 Step 1908 of 2112 0.89 224 0.05 0.47 Step 1916 of 2112 0.90 224 0.04 0.47 Step 1924 of 2112 0.90 224 0.04 0.47 Step 1932 of 2112 0.90 224 0.04 0.46 Step 1940 of 2112 0.90 224 0.04 0.48 Step 1948 of 2112 0.90 224 0.04 0.47 Step 1956 of 2112 0.90 224 0.04 0.48 Step 1964 of 2112 0.90 256 0.05 0.50 Step 1972 of 2112 0.91 256 0.05 0.49 Step 1980 of 2112 0.91 256 0.05 0.49 Step 1988 of 2112 0.91 256 0.05 0.49 Step 1996 of 2112 0.91 256 0.05 0.49 Step 2004 of 2112 0.91 256 0.06 0.52 Step 2012 of 2112 0.91 256 0.05 0.49 Step 2020 of 2112 0.91 256 0.06 0.53 Step 2028 of 2112 0.92 256 0.05 0.49 Step 2036 of 2112 0.92 256 0.05 0.50 Step 2044 of 2112 0.92 256 0.05 0.48 Step 2052 of 2112 0.92 256 0.05 0.49 Step 2060 of 2112 0.92 256 0.05 0.50 Step 2068 of 2112 0.92 256 0.05 0.50 Step 2076 of 2112 0.92 256 0.07 0.54 Step 2084 of 2112 0.93 256 0.06 0.53 Step 2092 of 2112 0.93 256 0.05 0.49 Step 2100 of 2112 0.93 256 0.05 0.49 Step 2108 of 2112 0.93 256 0.05 0.51 EXTRACT_OBJECT: sdR-r1-00034590.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 2 1.04 1.61 .0001 2 1.04 1.44 .0002 3 1.04 1.48 .0003 3 1.04 1.54 .0004 2 1.04 1.50 .0005 3 1.04 1.54 .0006 3 1.04 1.55 .0007 3 1.04 1.59 .0008 2 1.04 1.61 .0009 3 1.04 1.62 .0010 3 1.04 1.54 .0011 1 1.04 1.88 .0012 3 1.04 1.70 .0013 3 1.04 1.90 .0014 3 1.04 1.65 .0015 2 1.04 1.67 .0016 2 1.04 1.78 .0017 3 1.04 1.75 .0018 2 1.04 1.92 .0019 3 1.03 1.77 .0020 3 1.03 1.74 .0021 4 1.03 1.81 .0022 2 1.03 2.26 .0023 4 1.03 1.88 .0024 3 1.03 2.07 .0025 3 1.03 2.11 .0026 3 1.03 2.14 .0027 1 1.03 2.20 .0028 2 1.03 2.14 .0029 3 1.03 2.12 .0030 2 1.03 2.08 .0031 1 1.03 2.35 .0032 1 1.03 2.28 .0033 1 1.03 2.25 .0034 1 1.03 2.29 .0035 1 1.03 2.34 .0036 1 1.03 2.57 .0037 2 1.03 2.44 .0038 3 1.03 2.51 .0039 4 1.03 2.58 .0040 1 1.03 2.63 .0041 1 1.03 2.70 .0042 1 1.03 2.71 .0043 2 1.03 2.76 .0044 2 1.03 3.06 .0045 1 1.03 2.86 .0046 2 1.03 2.79 .0047 3 1.03 2.87 .0048 3 1.03 3.13 .0049 1 1.03 3.09 .0050 2 1.03 2.97 .0051 1 1.03 3.19 .0052 3 1.03 3.00 .0053 1 1.03 3.31 .0054 1 1.03 3.06 .0055 2 1.03 3.22 .0056 1 1.03 3.29 .0057 3 1.03 3.53 .0058 1 1.03 3.63 .0059 2 1.03 3.58 .0060 2 1.03 3.58 .0061 2 1.03 3.73 .0062 1 1.03 3.76 .0063 2 1.03 4.02 .0064 2 1.03 3.83 .0065 2 1.03 3.97 .0066 3 1.03 4.13 .0067 3 1.03 4.08 .0068 2 1.03 4.13 .0069 3 1.03 4.59 .0070 2 1.03 5.14 .0071 3 1.02 4.75 .0072 3 1.02 4.57 .0073 2 1.02 5.47 .0074 2 1.02 4.65 .0075 3 1.02 4.52 .0076 3 1.02 4.30 .0077 2 1.02 5.03 .0078 3 1.02 4.78 .0079 1 1.02 4.64 .0080 2 1.02 4.73 .0081 2 1.02 4.77 .0082 2 1.02 4.93 .0083 1 1.02 4.96 .0084 2 1.02 4.91 .0085 2 1.02 4.84 .0086 1 1.02 5.18 .0087 1 1.02 5.02 .0088 2 1.02 5.36 .0089 1 1.02 5.05 .0090 2 1.02 5.37 .0091 2 1.02 5.31 .0092 2 1.02 5.40 .0093 3 1.02 5.21 .0094 1 1.02 5.07 .0095 1 1.02 5.12 .0096 1 1.02 5.10 .0097 1 1.02 5.20 .0098 1 1.02 5.30 .0099 1 1.02 5.19 .0100 1 1.02 5.88 .0101 3 1.02 5.25 .0102 3 1.02 5.66 .0103 1 1.02 5.43 .0104 2 1.02 5.77 .0105 1 1.02 5.36 .0106 2 1.02 5.71 .0107 3 1.02 5.51 .0108 3 1.02 5.77 .0109 2 1.02 5.65 .0110 2 1.02 6.12 .0111 1 1.02 5.98 .0112 1 1.02 5.73 .0113 1 1.02 5.84 .0114 2 1.02 5.55 .0115 1 1.02 5.89 .0116 1 1.02 5.75 .0117 1 1.02 6.02 .0118 2 1.02 6.11 .0119 1 1.02 5.82 .0120 1 1.02 5.85 .0121 3 1.02 6.16 .0122 2 1.02 6.09 .0123 1 1.02 6.44 .0124 3 1.02 6.37 .0125 2 1.02 7.29 .0126 2 1.02 6.20 .0127 3 1.02 5.85 .0128 2 1.01 6.40 .0129 1 1.01 5.65 .0130 1 1.01 5.98 .0131 1 1.01 6.01 .0132 1 1.01 6.05 .0133 1 1.01 5.57 .0134 1 1.01 5.79 .0135 1 1.01 5.84 .0136 2 1.01 5.86 .0137 3 1.01 5.73 .0138 2 1.01 5.71 .0139 1 1.01 5.66 .0140 2 1.01 5.54 .0141 2 1.01 5.68 .0142 1 1.01 5.62 .0143 2 1.01 6.26 .0144 3 1.01 6.40 .0145 3 1.01 5.59 .0146 2 1.01 5.79 .0147 4 1.01 6.01 .0148 2 1.01 6.29 .0149 1 1.01 5.77 .0150 2 1.01 5.67 .0151 1 1.01 5.47 .0152 1 1.01 5.51 .0153 2 1.01 5.59 .0154 2 1.01 5.49 .0155 2 1.01 5.87 .0156 1 1.01 5.59 .0157 1 1.01 5.59 .0158 3 1.01 6.14 .0159 2 1.01 5.92 .0160 1 1.01 6.50 .0161 2 1.01 6.05 .0162 1 1.01 5.77 .0163 1 1.01 5.55 .0164 2 1.01 5.52 .0165 1 1.01 5.51 .0166 2 1.01 5.49 .0167 2 1.01 6.47 .0168 2 1.01 5.43 .0169 3 1.01 5.67 .0170 1 1.01 5.40 .0171 2 1.01 5.66 .0172 1 1.01 5.40 .0173 1 1.01 5.68 .0174 1 1.01 5.33 .0175 2 1.01 5.88 .0176 1 1.01 5.41 .0177 2 1.01 5.49 .0178 2 1.01 5.13 .0179 3 1.01 5.40 .0180 2 1.01 5.38 .0181 1 1.01 5.27 .0182 1 1.01 5.28 .0183 1 1.01 5.28 .0184 2 1.01 5.17 .0185 1 1.01 5.25 .0186 3 1.01 5.22 .0187 1 1.01 5.79 .0188 3 1.01 5.14 .0189 3 1.01 5.35 .0190 1 1.01 5.39 .0191 1 1.00 5.76 .0192 2 1.00 5.03 .0193 2 1.00 5.38 .0194 1 1.00 5.53 .0195 1 1.00 4.98 .0196 1 1.00 5.28 .0197 2 1.00 5.53 .0198 2 1.00 5.91 .0199 2 1.00 5.83 .0200 2 1.00 5.65 .0201 2 1.00 5.69 .0202 1 1.00 5.54 .0203 2 1.00 5.29 .0204 1 1.00 5.33 .0205 2 1.00 5.27 .0206 1 1.00 5.41 .0207 3 1.00 5.46 .0208 3 1.00 5.47 .0209 1 1.00 5.70 .0210 2 1.00 5.35 .0211 2 1.00 5.56 .0212 3 1.00 5.66 .0213 1 1.00 5.99 .0214 1 1.00 5.89 .0215 2 1.00 5.72 .0216 3 1.00 6.45 .0217 2 1.00 6.02 .0218 2 1.00 5.83 .0219 2 1.00 6.03 .0220 2 1.00 6.73 .0221 3 1.00 5.97 .0222 1 1.00 5.90 .0223 1 1.00 5.78 .0224 1 1.00 6.18 .0225 1 1.00 6.14 .0226 2 1.00 6.10 .0227 2 1.00 6.01 .0228 1 1.00 6.02 .0229 2 1.00 6.22 .0230 1 1.00 6.18 .0231 1 1.00 6.19 .0232 2 1.00 6.33 .0233 2 1.00 6.55 .0234 2 1.00 7.19 .0235 2 1.00 6.93 .0236 2 1.00 6.33 .0237 2 1.00 6.60 .0238 3 1.00 7.08 .0239 3 1.00 6.81 .0240 2 1.00 6.88 .0241 1 1.00 6.66 .0242 2 1.00 6.69 .0243 1 1.00 6.96 .0244 1 1.00 7.01 .0245 2 1.00 6.86 .0246 1 1.00 7.31 .0247 2 1.00 7.62 .0248 2 1.00 7.20 .0249 2 1.00 7.32 .0250 2 1.00 7.93 .0251 3 1.00 7.87 .0252 1 1.00 7.36 .0253 2 1.00 7.33 .0254 2 1.00 7.28 .0255 2 1.00 7.62 .0256 1 1.00 7.74 .0257 1 1.00 7.68 .0258 2 1.00 8.06 .0259 1 1.00 7.95 .0260 1 1.00 8.10 .0261 2 0.99 8.44 .0262 1 0.99 8.94 .0263 2 0.99 8.39 .0264 2 0.99 8.04 .0265 2 0.99 8.26 .0266 3 0.99 7.94 .0267 1 0.99 8.07 .0268 1 0.99 7.77 .0269 1 0.99 8.10 .0270 2 0.99 8.00 .0271 1 0.99 7.95 .0272 2 0.99 8.39 .0273 1 0.99 9.69 .0274 1 0.99 8.30 .0275 1 0.99 8.77 .0276 1 0.99 8.55 .0277 2 0.99 7.99 .0278 1 0.99 8.65 .0279 2 0.99 8.26 .0280 3 0.99 8.22 .0281 1 0.99 8.02 .0282 2 0.99 8.06 .0283 2 0.99 8.10 .0284 1 0.99 7.95 .0285 2 0.99 8.56 .0286 1 0.99 8.14 .0287 1 0.99 7.69 .0288 1 0.99 7.68 .0289 2 0.99 7.87 .0290 2 0.99 8.07 .0291 2 0.99 7.63 .0292 2 0.99 7.61 .0293 4 0.99 7.59 .0294 3 0.99 7.41 .0295 1 0.99 7.38 .0296 2 0.99 7.24 .0297 1 0.99 7.34 .0298 2 0.99 7.92 .0299 3 0.99 7.43 .0300 1 0.99 7.73 .0301 2 0.99 7.84 .0302 2 0.99 7.13 .0303 1 0.99 7.12 .0304 1 0.99 7.25 .0305 1 0.99 7.51 .0306 2 0.99 6.74 .0307 2 0.99 6.77 .0308 2 0.99 7.01 .0309 1 0.99 6.81 .0310 2 0.99 6.75 .0311 1 0.99 6.89 .0312 1 0.99 7.13 .0313 1 0.99 6.85 .0314 1 0.99 6.78 .0315 2 0.99 6.74 .0316 2 0.99 6.96 .0317 1 0.99 6.47 .0318 1 0.99 6.55 .0319 2 0.99 6.64 .0320 2 0.99 6.45 .0321 1 0.99 6.69 .0322 1 0.99 6.94 .0323 2 0.99 6.61 .0324 2 0.99 6.73 .0325 1 0.99 6.56 .0326 2 0.99 6.48 .0327 1 0.99 6.61 .0328 2 0.99 6.93 .0329 2 0.99 6.91 .0330 1 0.99 6.77 .0331 1 0.99 6.40 .0332 2 0.99 7.24 .0333 1 0.99 6.75 .0334 1 0.99 6.71 .0335 2 0.99 6.51 .0336 1 0.99 6.66 .0337 2 0.99 7.02 .0338 2 0.99 7.20 .0339 2 0.99 7.30 .0340 2 0.99 7.21 .0341 2 0.99 7.09 .0342 2 0.98 7.04 .0343 2 0.98 7.18 .0344 3 0.98 6.70 .0345 3 0.98 7.40 .0346 3 0.98 7.38 .0347 2 0.98 7.52 .0348 2 0.98 7.24 .0349 2 0.98 7.01 .0350 2 0.98 7.34 .0351 2 0.98 8.04 .0352 2 0.98 7.45 .0353 2 0.98 7.25 .0354 1 0.98 7.19 .0355 1 0.98 7.20 .0356 1 0.98 7.01 .0357 2 0.98 7.57 .0358 2 0.98 7.61 .0359 1 0.98 7.62 .0360 2 0.98 7.23 .0361 1 0.98 7.33 .0362 1 0.98 7.14 .0363 1 0.98 8.13 .0364 2 0.98 7.64 .0365 1 0.98 7.37 .0366 1 0.98 7.70 .0367 1 0.98 7.20 .0368 2 0.98 7.48 .0369 2 0.98 7.49 .0370 2 0.98 7.62 .0371 2 0.98 7.74 .0372 2 0.98 7.35 .0373 3 0.98 7.89 .0374 2 0.98 8.15 .0375 2 0.98 8.28 .0376 2 0.98 7.68 .0377 2 0.98 7.69 .0378 2 0.98 8.27 .0379 2 0.98 7.96 .0380 3 0.98 8.27 .0381 2 0.98 8.09 .0382 2 0.98 8.14 .0383 1 0.98 7.72 .0384 3 0.98 7.66 .0385 3 0.98 8.30 .0386 1 0.98 7.96 .0387 2 0.98 8.65 .0388 3 0.98 7.92 .0389 1 0.98 8.09 .0390 3 0.98 7.86 .0391 1 0.98 8.21 .0392 2 0.98 7.70 .0393 1 0.98 9.20 .0394 2 0.98 8.11 .0395 1 0.98 8.41 .0396 2 0.98 7.62 .0397 1 0.98 7.63 .0398 1 0.98 7.62 .0399 2 0.98 8.21 .0400 2 0.98 7.78 .0401 1 0.98 7.89 .0402 1 0.98 7.79 .0403 2 0.98 7.62 .0404 1 0.98 7.90 .0405 1 0.98 7.53 .0406 1 0.98 7.59 .0407 2 0.98 7.73 .0408 3 0.98 7.65 .0409 1 0.98 7.76 .0410 2 0.98 7.74 .0411 2 0.98 7.62 .0412 2 0.98 7.22 .0413 1 0.98 7.63 .0414 4 0.98 7.90 .0415 2 0.98 7.47 .0416 2 0.98 7.90 .0417 2 0.98 7.96 .0418 3 0.98 6.93 .0419 2 0.98 7.26 .0420 1 0.98 7.22 .0421 1 0.98 6.85 .0422 1 0.98 7.36 .0423 2 0.98 7.15 .0424 2 0.98 7.77 .0425 2 0.98 7.33 .0426 2 0.98 6.90 .0427 2 0.98 6.71 .0428 1 0.98 6.88 .0429 1 0.98 6.91 .0430 1 0.98 6.94 .0431 2 0.98 7.35 .0432 2 0.98 7.14 .0433 2 0.98 7.62 .0434 1 0.98 6.69 .0435 2 0.97 7.16 .0436 2 0.97 7.62 .0437 1 0.97 6.53 .0438 1 0.97 6.86 .0439 1 0.97 6.92 .0440 2 0.97 6.64 .0441 1 0.97 6.69 .0442 2 0.97 6.58 .0443 1 0.97 7.09 .0444 2 0.97 6.79 .0445 1 0.97 7.30 .0446 2 0.97 6.51 .0447 2 0.97 7.08 .0448 2 0.97 8.22 .0449 2 0.97 6.92 .0450 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1 0.92 2.88 .1783 2 0.92 2.72 .1784 2 0.92 2.95 .1785 2 0.92 2.98 .1786 2 0.92 3.11 .1787 1 0.92 3.28 .1788 2 0.92 3.02 .1789 1 0.92 3.04 .1790 1 0.92 2.77 .1791 2 0.92 2.68 .1792 2 0.92 2.75 .1793 1 0.92 2.69 .1794 2 0.92 2.80 .1795 1 0.92 2.70 .1796 2 0.92 2.65 .1797 1 0.92 2.70 .1798 1 0.92 2.69 .1799 1 0.92 2.69 .1800 1 0.92 2.80 .1801 1 0.92 2.61 .1802 1 0.92 2.58 .1803 5 0.92 2.84 .1804 2 0.92 2.81 .1805 3 0.92 3.09 .1806 1 0.92 2.81 .1807 4 0.92 3.08 .1808 1 0.92 3.02 .1809 2 0.92 2.82 .1810 3 0.92 2.85 .1811 1 0.92 2.78 .1812 3 0.92 2.81 .1813 3 0.92 2.98 .1814 3 0.92 3.01 .1815 2 0.92 2.86 .1816 1 0.92 3.02 .1817 1 0.92 3.05 .1818 1 0.92 2.79 .1819 1 0.92 2.90 .1820 3 0.92 2.67 .1821 2 0.92 2.76 .1822 2 0.92 3.03 .1823 1 0.92 2.98 .1824 1 0.92 2.96 .1825 1 0.92 2.78 .1826 1 0.92 2.95 .1827 2 0.92 2.83 .1828 1 0.92 2.82 .1829 1 0.92 3.07 .1830 1 0.92 3.13 .1831 2 0.92 3.20 .1832 3 0.92 2.80 .1833 3 0.92 2.91 .1834 1 0.92 3.01 .1835 1 0.92 3.00 .1836 2 0.92 3.05 .1837 1 0.92 3.20 .1838 2 0.92 2.97 .1839 1 0.92 2.76 .1840 1 0.92 3.03 .1841 2 0.92 2.99 .1842 1 0.92 3.05 .1843 2 0.92 2.85 .1844 2 0.92 2.98 .1845 2 0.92 2.91 .1846 2 0.92 3.11 .1847 2 0.91 3.17 .1848 1 0.91 2.97 .1849 2 0.91 3.02 .1850 1 0.91 2.77 .1851 1 0.91 2.93 .1852 1 0.91 2.80 .1853 1 0.91 2.90 .1854 2 0.91 3.33 .1855 1 0.91 2.89 .1856 1 0.91 2.85 .1857 2 0.91 2.84 .1858 2 0.91 2.81 .1859 1 0.91 2.87 .1860 3 0.91 2.92 .1861 1 0.91 3.19 .1862 2 0.91 2.90 .1863 1 0.91 3.15 .1864 3 0.91 2.70 .1865 4 0.91 2.86 .1866 4 0.91 2.77 .1867 2 0.91 2.83 .1868 3 0.91 2.92 .1869 3 0.91 3.12 .1870 1 0.91 3.16 .1871 3 0.91 3.00 .1872 3 0.91 3.05 .1873 2 0.91 3.05 .1874 1 0.91 3.09 .1875 1 0.91 2.99 .1876 2 0.91 3.15 .1877 3 0.91 3.13 .1878 2 0.91 3.34 .1879 2 0.91 3.31 .1880 1 0.91 3.17 .1881 3 0.91 2.87 .1882 1 0.91 2.94 .1883 1 0.91 3.03 .1884 1 0.91 3.20 .1885 2 0.91 3.07 .1886 1 0.91 2.97 .1887 2 0.91 3.11 .1888 2 0.91 3.00 .1889 2 0.91 3.50 .1890 1 0.91 3.20 .1891 2 0.91 3.01 .1892 2 0.91 3.20 .1893 2 0.91 3.72 .1894 2 0.91 3.23 .1895 1 0.91 3.22 .1896 1 0.91 3.10 .1897 2 0.91 2.99 .1898 3 0.91 3.27 .1899 1 0.91 3.00 .1900 2 0.91 3.00 .1901 1 0.91 2.95 .1902 2 0.91 3.24 .1903 1 0.91 3.14 .1904 1 0.91 3.14 .1905 2 0.91 3.26 .1906 2 0.91 3.12 .1907 2 0.91 3.18 .1908 2 0.91 3.50 .1909 2 0.91 3.55 .1910 1 0.91 3.30 .1911 2 0.91 3.41 .1912 2 0.91 3.21 .1913 2 0.91 3.35 .1914 3 0.91 3.14 .1915 2 0.91 3.07 .1916 4 0.91 2.92 .1917 1 0.91 2.97 .1918 1 0.91 2.79 .1919 3 0.91 2.97 .1920 4 0.91 2.77 .1921 3 0.91 2.97 .1922 2 0.91 3.04 .1923 1 0.91 2.96 .1924 2 0.91 2.92 .1925 3 0.91 2.91 .1926 2 0.91 2.92 .1927 1 0.91 2.98 .1928 3 0.91 3.06 .1929 1 0.91 2.96 .1930 1 0.91 2.96 .1931 2 0.91 2.96 .1932 2 0.91 2.79 .1933 2 0.91 2.89 .1934 2 0.91 2.70 .1935 2 0.91 2.78 .1936 1 0.91 2.69 .1937 1 0.91 2.91 .1938 3 0.91 2.96 .1939 2 0.91 2.76 .1940 1 0.91 2.65 .1941 3 0.91 2.72 .1942 3 0.91 2.90 .1943 1 0.91 2.93 .1944 2 0.91 2.66 .1945 4 0.91 2.73 .1946 3 0.91 2.65 .1947 2 0.91 2.76 .1948 1 0.91 2.74 .1949 2 0.91 2.76 .1950 1 0.91 2.90 .1951 3 0.91 2.70 .1952 3 0.92 2.91 .1953 2 0.92 3.18 .1954 3 0.92 2.97 .1955 3 0.92 2.96 .1956 2 0.92 3.08 .1957 2 0.92 3.13 .1958 1 0.92 3.69 .1959 1 0.92 3.13 .1960 2 0.92 3.17 .1961 2 0.92 3.37 .1962 2 0.92 3.09 .1963 2 0.92 3.31 .1964 1 0.92 3.19 .1965 3 0.92 3.25 .1966 4 0.92 3.22 .1967 3 0.92 3.44 .1968 1 0.92 3.08 .1969 1 0.92 3.04 .1970 2 0.92 3.15 .1971 3 0.92 3.16 .1972 2 0.92 3.46 .1973 1 0.92 2.99 .1974 1 0.92 2.99 .1975 2 0.92 2.86 .1976 2 0.92 2.82 .1977 2 0.92 3.04 .1978 1 0.92 2.94 .1979 4 0.92 3.02 .1980 3 0.92 2.93 .1981 1 0.92 3.07 .1982 2 0.92 2.96 .1983 2 0.92 2.95 .1984 2 0.92 3.13 .1985 2 0.92 2.68 .1986 3 0.92 3.14 .1987 2 0.92 3.48 .1988 1 0.92 2.95 .1989 3 0.92 2.92 .1990 3 0.92 2.95 .1991 4 0.92 3.03 .1992 4 0.92 3.40 .1993 2 0.92 3.11 .1994 3 0.92 2.91 .1995 3 0.92 2.94 .1996 2 0.92 3.25 .1997 2 0.92 3.66 .1998 2 0.92 3.11 .1999 2 0.92 3.30 .2000 1 0.92 3.04 .2001 3 0.92 2.95 .2002 2 0.92 3.48 .2003 2 0.92 3.14 .2004 2 0.92 2.96 .2005 3 0.92 3.05 .2006 1 0.92 2.94 .2007 3 0.92 3.16 .2008 3 0.92 3.13 .2009 1 0.92 3.27 .2010 2 0.92 3.10 .2011 2 0.92 3.12 .2012 3 0.92 3.27 .2013 2 0.92 3.29 .2014 1 0.92 3.15 .2015 2 0.92 3.44 .2016 3 0.92 3.02 .2017 4 0.92 3.18 .2018 2 0.92 3.76 .2019 2 0.92 3.30 .2020 1 0.92 3.24 .2021 1 0.92 3.11 .2022 2 0.92 3.35 .2023 2 0.92 2.86 .2024 2 0.92 3.00 .2025 1 0.92 3.13 .2026 1 0.92 2.76 .2027 2 0.92 2.91 .2028 1 0.92 3.20 .2029 1 0.92 3.35 .2030 2 0.92 3.17 .2031 2 0.92 3.55 .2032 3 0.92 3.37 .2033 4 0.92 3.06 .2034 2 0.92 3.26 .2035 1 0.92 3.06 .2036 2 0.92 3.16 .2037 1 0.92 2.97 .2038 2 0.92 2.96 .2039 1 0.92 3.10 .2040 1 0.92 2.94 .2041 1 0.92 3.16 .2042 1 0.92 2.97 .2043 2 0.92 3.26 .2044 3 0.92 3.22 .2045 3 0.92 3.40 .2046 4 0.92 3.51 .2047 1 0.92 3.29 EXTRACT_IMAGE: sdR-r1-00034590.fit: masked 2189 pixels EXTRACT_OBJECT: sdR-r1-00034590.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034590.fit: WARNING: Scattered light median = 79.3171 electrons QAPLOT_SCATLIGHT: sdR-r1-00034590.fit: WARNING: Scattered light max = 176.754 electrons EXTRACT_OBJECT: sdR-r1-00034590.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 2 1.04 2.44 .0001 2 1.04 1.86 .0002 2 1.04 1.83 .0003 2 1.04 1.75 .0004 2 1.04 1.69 .0005 2 1.04 1.66 .0006 3 1.04 1.72 .0007 2 1.04 1.67 .0008 2 1.04 1.64 .0009 3 1.04 1.57 .0010 2 1.04 1.54 .0011 3 1.04 1.55 .0012 3 1.04 1.71 .0013 4 1.04 1.66 .0014 3 1.04 1.67 .0015 2 1.04 1.70 .0016 2 1.04 1.82 .0017 2 1.04 1.81 .0018 2 1.04 1.83 .0019 3 1.03 1.75 .0020 2 1.03 1.88 .0021 3 1.03 1.92 .0022 3 1.03 2.08 .0023 3 1.03 2.00 .0024 4 1.03 2.11 .0025 4 1.03 2.18 .0026 3 1.03 2.28 .0027 2 1.03 2.27 .0028 3 1.03 2.31 .0029 4 1.03 2.29 .0030 3 1.03 2.35 .0031 2 1.03 2.56 .0032 1 1.03 2.49 .0033 1 1.03 2.56 .0034 2 1.03 2.54 .0035 1 1.03 2.64 .0036 2 1.03 2.83 .0037 2 1.03 2.73 .0038 3 1.03 2.78 .0039 3 1.03 2.85 .0040 1 1.03 3.01 .0041 1 1.03 2.94 .0042 1 1.03 2.98 .0043 2 1.03 3.10 .0044 3 1.03 3.08 .0045 1 1.03 3.22 .0046 2 1.03 3.16 .0047 3 1.03 3.24 .0048 3 1.03 3.18 .0049 1 1.03 3.32 .0050 2 1.03 3.26 .0051 1 1.03 3.46 .0052 3 1.03 3.35 .0053 1 1.03 3.56 .0054 1 1.03 3.33 .0055 2 1.03 3.45 .0056 1 1.03 3.44 .0057 3 1.03 3.68 .0058 2 1.03 3.73 .0059 2 1.03 3.64 .0060 2 1.03 3.84 .0061 2 1.03 3.81 .0062 1 1.03 3.87 .0063 3 1.03 4.01 .0064 2 1.03 3.88 .0065 3 1.03 3.74 .0066 4 1.03 4.14 .0067 3 1.03 4.01 .0068 3 1.03 4.07 .0069 3 1.03 4.35 .0070 2 1.03 4.60 .0071 3 1.02 4.65 .0072 3 1.02 4.35 .0073 2 1.02 4.89 .0074 2 1.02 4.60 .0075 3 1.02 4.52 .0076 3 1.02 4.29 .0077 3 1.02 4.73 .0078 3 1.02 4.77 .0079 1 1.02 4.53 .0080 2 1.02 4.63 .0081 2 1.02 4.72 .0082 2 1.02 4.87 .0083 1 1.02 4.91 .0084 2 1.02 4.78 .0085 2 1.02 4.83 .0086 1 1.02 5.03 .0087 1 1.02 4.93 .0088 2 1.02 5.18 .0089 1 1.02 4.94 .0090 2 1.02 4.96 .0091 2 1.02 4.99 .0092 2 1.02 5.09 .0093 3 1.02 5.14 .0094 1 1.02 5.11 .0095 2 1.02 4.99 .0096 1 1.02 4.97 .0097 1 1.02 5.08 .0098 1 1.02 5.28 .0099 1 1.02 5.19 .0100 2 1.02 5.57 .0101 3 1.02 5.13 .0102 3 1.02 5.40 .0103 1 1.02 5.31 .0104 3 1.02 5.43 .0105 1 1.02 5.33 .0106 3 1.02 5.43 .0107 4 1.02 5.39 .0108 3 1.02 5.64 .0109 3 1.02 5.42 .0110 4 1.02 5.83 .0111 1 1.02 5.80 .0112 1 1.02 5.59 .0113 1 1.02 5.68 .0114 2 1.02 5.49 .0115 1 1.02 5.75 .0116 1 1.02 5.65 .0117 1 1.02 5.82 .0118 2 1.02 5.89 .0119 1 1.02 5.66 .0120 1 1.02 5.71 .0121 4 1.02 5.51 .0122 2 1.02 5.56 .0123 1 1.02 6.12 .0124 3 1.02 5.92 .0125 3 1.02 6.03 .0126 2 1.02 5.89 .0127 2 1.02 5.69 .0128 3 1.01 5.90 .0129 1 1.01 5.57 .0130 1 1.01 5.77 .0131 1 1.01 5.78 .0132 1 1.01 5.87 .0133 1 1.01 5.43 .0134 1 1.01 5.58 .0135 1 1.01 5.57 .0136 2 1.01 5.72 .0137 5 1.01 5.55 .0138 3 1.01 5.30 .0139 1 1.01 5.57 .0140 2 1.01 5.52 .0141 2 1.01 5.62 .0142 1 1.01 5.47 .0143 4 1.01 5.50 .0144 4 1.01 5.87 .0145 3 1.01 5.44 .0146 2 1.01 5.64 .0147 3 1.01 5.59 .0148 2 1.01 6.14 .0149 1 1.01 5.58 .0150 2 1.01 5.60 .0151 1 1.01 5.55 .0152 1 1.01 5.45 .0153 2 1.01 5.61 .0154 2 1.01 5.47 .0155 2 1.01 5.70 .0156 1 1.01 5.51 .0157 1 1.01 5.48 .0158 3 1.01 5.70 .0159 2 1.01 5.82 .0160 3 1.01 5.67 .0161 3 1.01 5.97 .0162 1 1.01 5.74 .0163 1 1.01 5.52 .0164 2 1.01 5.43 .0165 1 1.01 5.49 .0166 2 1.01 5.54 .0167 3 1.01 5.90 .0168 2 1.01 5.33 .0169 3 1.01 5.60 .0170 1 1.01 5.48 .0171 2 1.01 5.70 .0172 1 1.01 5.45 .0173 1 1.01 5.74 .0174 1 1.01 5.42 .0175 3 1.01 5.54 .0176 1 1.01 5.48 .0177 2 1.01 5.57 .0178 2 1.01 5.23 .0179 2 1.01 5.57 .0180 2 1.01 5.48 .0181 1 1.01 5.39 .0182 1 1.01 5.42 .0183 1 1.01 5.55 .0184 2 1.01 5.42 .0185 1 1.01 5.44 .0186 3 1.01 5.48 .0187 3 1.01 5.54 .0188 2 1.01 5.49 .0189 3 1.01 5.57 .0190 1 1.01 5.63 .0191 2 1.00 5.45 .0192 2 1.00 5.47 .0193 3 1.00 5.67 .0194 1 1.00 5.82 .0195 1 1.00 5.34 .0196 1 1.00 5.62 .0197 2 1.00 5.81 .0198 2 1.00 6.22 .0199 3 1.00 5.78 .0200 2 1.00 5.90 .0201 2 1.00 5.96 .0202 1 1.00 5.99 .0203 3 1.00 5.68 .0204 1 1.00 5.67 .0205 2 1.00 5.64 .0206 1 1.00 5.79 .0207 3 1.00 5.85 .0208 3 1.00 5.94 .0209 1 1.00 6.01 .0210 2 1.00 5.78 .0211 2 1.00 5.95 .0212 3 1.00 6.01 .0213 1 1.00 6.27 .0214 1 1.00 6.34 .0215 2 1.00 5.99 .0216 4 1.00 6.27 .0217 2 1.00 6.26 .0218 2 1.00 6.19 .0219 2 1.00 6.26 .0220 2 1.00 6.64 .0221 2 1.00 6.36 .0222 2 1.00 6.14 .0223 2 1.00 6.04 .0224 1 1.00 6.57 .0225 1 1.00 6.47 .0226 3 1.00 6.15 .0227 2 1.00 6.30 .0228 2 1.00 6.05 .0229 3 1.00 6.00 .0230 2 1.00 6.17 .0231 1 1.00 6.55 .0232 3 1.00 6.32 .0233 2 1.00 6.67 .0234 2 1.00 6.92 .0235 3 1.00 6.82 .0236 2 1.00 6.50 .0237 2 1.00 6.63 .0238 3 1.00 7.07 .0239 3 1.00 6.85 .0240 2 1.00 6.93 .0241 2 1.00 6.66 .0242 2 1.00 6.89 .0243 2 1.00 6.99 .0244 2 1.00 7.17 .0245 2 1.00 6.96 .0246 2 1.00 7.22 .0247 3 1.00 7.12 .0248 3 1.00 7.15 .0249 2 1.00 7.13 .0250 3 1.00 7.54 .0251 2 1.00 7.78 .0252 1 1.00 7.40 .0253 3 1.00 7.24 .0254 2 1.00 7.35 .0255 2 1.00 7.69 .0256 1 1.00 7.67 .0257 1 1.00 7.67 .0258 2 1.00 7.62 .0259 1 1.00 7.82 .0260 1 1.00 8.05 .0261 2 0.99 7.79 .0262 2 0.99 7.81 .0263 2 0.99 7.77 .0264 2 0.99 7.82 .0265 2 0.99 8.10 .0266 3 0.99 7.79 .0267 1 0.99 7.94 .0268 1 0.99 7.71 .0269 1 0.99 7.92 .0270 2 0.99 7.72 .0271 1 0.99 7.78 .0272 3 0.99 8.08 .0273 2 0.99 8.12 .0274 1 0.99 8.07 .0275 2 0.99 8.10 .0276 2 0.99 7.90 .0277 2 0.99 7.79 .0278 2 0.99 7.99 .0279 2 0.99 8.03 .0280 3 0.99 7.99 .0281 1 0.99 7.88 .0282 2 0.99 7.96 .0283 2 0.99 7.91 .0284 1 0.99 7.93 .0285 3 0.99 7.77 .0286 1 0.99 8.04 .0287 1 0.99 7.62 .0288 1 0.99 7.66 .0289 2 0.99 7.80 .0290 2 0.99 8.08 .0291 2 0.99 7.67 .0292 2 0.99 7.54 .0293 2 0.99 7.97 .0294 3 0.99 7.59 .0295 1 0.99 7.51 .0296 2 0.99 7.48 .0297 1 0.99 7.50 .0298 2 0.99 7.70 .0299 2 0.99 7.49 .0300 3 0.99 7.40 .0301 3 0.99 7.51 .0302 2 0.99 7.54 .0303 1 0.99 7.34 .0304 1 0.99 7.65 .0305 2 0.99 7.35 .0306 2 0.99 7.08 .0307 2 0.99 7.20 .0308 2 0.99 7.43 .0309 1 0.99 7.21 .0310 2 0.99 7.09 .0311 1 0.99 7.23 .0312 2 0.99 7.14 .0313 1 0.99 7.29 .0314 1 0.99 7.10 .0315 2 0.99 7.12 .0316 2 0.99 7.09 .0317 1 0.99 6.93 .0318 1 0.99 6.91 .0319 2 0.99 6.77 .0320 2 0.99 6.87 .0321 1 0.99 7.11 .0322 1 0.99 7.30 .0323 2 0.99 7.04 .0324 2 0.99 7.19 .0325 1 0.99 7.09 .0326 2 0.99 6.84 .0327 1 0.99 7.13 .0328 2 0.99 7.12 .0329 2 0.99 7.45 .0330 1 0.99 7.12 .0331 1 0.99 6.79 .0332 3 0.99 7.37 .0333 1 0.99 7.13 .0334 2 0.99 6.97 .0335 2 0.99 6.95 .0336 1 0.99 7.15 .0337 3 0.99 7.06 .0338 3 0.99 7.24 .0339 3 0.99 7.38 .0340 2 0.99 7.40 .0341 2 0.99 7.39 .0342 2 0.98 7.31 .0343 2 0.98 7.48 .0344 2 0.98 7.09 .0345 4 0.98 7.46 .0346 3 0.98 7.23 .0347 2 0.98 7.88 .0348 2 0.98 7.53 .0349 2 0.98 7.36 .0350 3 0.98 7.17 .0351 2 0.98 7.99 .0352 2 0.98 7.62 .0353 2 0.98 7.50 .0354 1 0.98 7.52 .0355 1 0.98 7.47 .0356 1 0.98 7.25 .0357 2 0.98 7.50 .0358 3 0.98 7.55 .0359 2 0.98 7.60 .0360 2 0.98 7.52 .0361 1 0.98 7.58 .0362 1 0.98 7.53 .0363 2 0.98 7.75 .0364 2 0.98 7.90 .0365 1 0.98 7.70 .0366 2 0.98 7.48 .0367 1 0.98 7.49 .0368 2 0.98 7.71 .0369 2 0.98 7.73 .0370 2 0.98 7.84 .0371 2 0.98 7.91 .0372 2 0.98 7.58 .0373 3 0.98 8.03 .0374 2 0.98 8.14 .0375 3 0.98 8.07 .0376 2 0.98 7.84 .0377 2 0.98 7.84 .0378 3 0.98 7.92 .0379 3 0.98 7.72 .0380 3 0.98 7.88 .0381 2 0.98 8.18 .0382 2 0.98 8.19 .0383 1 0.98 7.91 .0384 3 0.98 7.77 .0385 3 0.98 8.29 .0386 1 0.98 8.05 .0387 2 0.98 8.69 .0388 3 0.98 7.97 .0389 1 0.98 8.17 .0390 2 0.98 7.97 .0391 1 0.98 8.18 .0392 2 0.98 7.81 .0393 2 0.98 8.29 .0394 2 0.98 8.21 .0395 1 0.98 8.36 .0396 2 0.98 7.85 .0397 1 0.98 7.73 .0398 1 0.98 7.72 .0399 2 0.98 8.19 .0400 2 0.98 7.80 .0401 1 0.98 7.99 .0402 1 0.98 7.92 .0403 2 0.98 7.66 .0404 1 0.98 7.94 .0405 1 0.98 7.67 .0406 1 0.98 7.73 .0407 2 0.98 7.82 .0408 3 0.98 7.80 .0409 1 0.98 7.82 .0410 2 0.98 7.88 .0411 2 0.98 7.81 .0412 2 0.98 7.41 .0413 1 0.98 7.94 .0414 4 0.98 8.03 .0415 2 0.98 7.71 .0416 3 0.98 7.81 .0417 2 0.98 8.23 .0418 3 0.98 7.34 .0419 2 0.98 7.57 .0420 2 0.98 7.29 .0421 1 0.98 7.24 .0422 1 0.98 7.73 .0423 2 0.98 7.52 .0424 2 0.98 7.72 .0425 2 0.98 7.64 .0426 3 0.98 7.21 .0427 2 0.98 7.20 .0428 1 0.98 7.38 .0429 1 0.98 7.43 .0430 1 0.98 7.40 .0431 2 0.98 7.73 .0432 2 0.98 7.67 .0433 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2 0.91 3.23 .1877 3 0.91 3.37 .1878 2 0.91 3.43 .1879 2 0.91 3.37 .1880 1 0.91 3.55 .1881 3 0.91 3.27 .1882 1 0.91 3.32 .1883 1 0.91 3.32 .1884 1 0.91 3.55 .1885 4 0.91 3.34 .1886 1 0.91 3.25 .1887 2 0.91 3.45 .1888 2 0.91 3.40 .1889 3 0.91 3.59 .1890 1 0.91 3.57 .1891 2 0.91 3.35 .1892 2 0.91 3.52 .1893 2 0.91 3.80 .1894 3 0.91 3.55 .1895 1 0.91 3.48 .1896 1 0.91 3.41 .1897 2 0.91 3.35 .1898 3 0.91 3.46 .1899 1 0.91 3.28 .1900 2 0.91 3.29 .1901 2 0.91 3.12 .1902 2 0.91 3.43 .1903 1 0.91 3.36 .1904 1 0.91 3.32 .1905 2 0.91 3.55 .1906 2 0.91 3.42 .1907 2 0.91 3.32 .1908 3 0.91 3.45 .1909 2 0.91 3.82 .1910 1 0.91 3.51 .1911 3 0.91 3.48 .1912 2 0.91 3.50 .1913 2 0.91 3.62 .1914 4 0.91 3.31 .1915 2 0.91 3.48 .1916 3 0.91 3.26 .1917 1 0.91 3.30 .1918 1 0.91 3.14 .1919 3 0.91 3.14 .1920 4 0.91 3.01 .1921 3 0.91 3.17 .1922 2 0.91 3.29 .1923 1 0.91 3.29 .1924 2 0.91 3.25 .1925 3 0.91 3.13 .1926 2 0.91 3.26 .1927 1 0.91 3.16 .1928 2 0.91 3.40 .1929 1 0.91 3.21 .1930 2 0.91 3.14 .1931 2 0.91 3.21 .1932 2 0.91 3.13 .1933 3 0.91 3.19 .1934 4 0.91 3.09 .1935 2 0.91 3.17 .1936 1 0.91 3.06 .1937 1 0.91 3.25 .1938 2 0.91 3.23 .1939 2 0.91 3.10 .1940 1 0.91 3.02 .1941 3 0.91 2.94 .1942 4 0.91 3.01 .1943 2 0.91 3.09 .1944 2 0.91 3.10 .1945 3 0.91 3.14 .1946 3 0.91 3.03 .1947 2 0.91 3.15 .1948 1 0.91 2.99 .1949 2 0.91 3.22 .1950 1 0.91 3.31 .1951 3 0.91 3.11 .1952 4 0.92 3.27 .1953 4 0.92 3.21 .1954 3 0.92 3.37 .1955 3 0.92 3.37 .1956 4 0.92 3.37 .1957 2 0.92 3.48 .1958 3 0.92 3.52 .1959 1 0.92 3.45 .1960 2 0.92 3.51 .1961 2 0.92 3.48 .1962 2 0.92 3.39 .1963 2 0.92 3.51 .1964 1 0.92 3.43 .1965 3 0.92 3.52 .1966 3 0.92 3.43 .1967 3 0.92 3.51 .1968 1 0.92 3.30 .1969 1 0.92 3.34 .1970 2 0.92 3.46 .1971 2 0.92 3.45 .1972 2 0.92 3.34 .1973 1 0.92 3.42 .1974 2 0.92 3.19 .1975 2 0.92 3.26 .1976 2 0.92 3.18 .1977 2 0.92 3.29 .1978 1 0.92 3.25 .1979 5 0.92 3.22 .1980 3 0.92 3.25 .1981 2 0.92 3.14 .1982 2 0.92 3.29 .1983 2 0.92 3.39 .1984 3 0.92 3.36 .1985 2 0.92 2.99 .1986 2 0.92 3.42 .1987 2 0.92 3.36 .1988 1 0.92 3.15 .1989 4 0.92 3.12 .1990 4 0.92 3.33 .1991 3 0.92 3.32 .1992 4 0.92 3.38 .1993 2 0.92 3.48 .1994 3 0.92 3.27 .1995 3 0.92 3.34 .1996 2 0.92 3.32 .1997 3 0.92 3.56 .1998 2 0.92 3.33 .1999 2 0.92 3.47 .2000 1 0.92 3.28 .2001 2 0.92 3.23 .2002 2 0.92 3.69 .2003 2 0.92 3.39 .2004 2 0.92 3.31 .2005 3 0.92 3.29 .2006 1 0.92 3.30 .2007 3 0.92 3.51 .2008 3 0.92 3.40 .2009 1 0.92 3.44 .2010 2 0.92 3.50 .2011 2 0.92 3.43 .2012 2 0.92 3.56 .2013 3 0.92 3.48 .2014 2 0.92 3.37 .2015 3 0.92 3.56 .2016 3 0.92 3.27 .2017 4 0.92 3.31 .2018 4 0.92 3.65 .2019 2 0.92 3.56 .2020 2 0.92 3.38 .2021 1 0.92 3.42 .2022 2 0.92 3.63 .2023 2 0.92 3.15 .2024 2 0.92 3.33 .2025 2 0.92 3.25 .2026 1 0.92 3.12 .2027 2 0.92 3.26 .2028 1 0.92 3.51 .2029 1 0.92 3.56 .2030 2 0.92 3.42 .2031 3 0.92 3.40 .2032 3 0.92 3.38 .2033 4 0.92 3.27 .2034 2 0.92 3.42 .2035 1 0.92 3.27 .2036 2 0.92 3.40 .2037 1 0.92 3.27 .2038 2 0.92 3.23 .2039 1 0.92 3.31 .2040 1 0.92 3.24 .2041 1 0.92 3.38 .2042 1 0.92 3.22 .2043 2 0.92 3.43 .2044 3 0.92 3.45 .2045 3 0.92 3.58 .2046 3 0.92 3.53 .2047 2 0.92 3.44 EXTRACT_IMAGE: sdR-r1-00034590.fit: masked 2909 pixels DIVIDEFLAT: sdR-r1-00034590.fit: Warning: Reject 234 low points in trace 45 DIVIDEFLAT: sdR-r1-00034590.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034590.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034590.fit: Warning: Reject 542 low points in trace 173 DIVIDEFLAT: sdR-r1-00034590.fit: Warning: Reject 671 low points in trace 174 DIVIDEFLAT: sdR-r1-00034590.fit: Warning: Reject 1075 low points in trace 249 DIVIDEFLAT: sdR-r1-00034590.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034590.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034590.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034590.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034590.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 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0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034590.fit: sky shift reference line, offset: 7794.1200 -0.015140868 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 8 7.6394223 5.1907633 0.0029697515 0.96746621 1850.0926 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 17 1.3135656 -209.08009 0.067969422 0.95267850 2081.8694 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 28 5.3698110 -140.01579 -0.0097194025 0.93037252 1865.2235 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 32 9.2615399 -181.58667 0.018081826 0.91436103 1877.4552 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 43 6.8764192 -59.876839 0.0032209031 0.95775439 1931.8796 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 44 16.096761 -69.694804 -0.10624416 1.0434903 1864.0227 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 70 7.1289067 40.154202 -0.029781614 0.97442456 1802.9071 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 78 16.052218 61.494316 -0.026415052 0.93978808 1924.5508 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 89 6.4141214 39.551107 -0.025649947 1.0384766 1905.2004 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 95 4.7875318 113.63077 0.065141017 0.96811022 1781.8173 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 101 6.0594813 124.00869 0.0091704900 0.97859500 1844.3549 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 123 7.8669304 90.336229 0.042371949 0.98404974 1887.5351 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 124 9.3026559 103.74551 -0.0011193207 0.94079979 1963.7392 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 126 4.1773107 148.87779 -0.023987932 0.99370248 1863.4193 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 134 7.6853121 117.81255 -0.054008438 1.0541859 1727.9386 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 156 6.9362340 162.37740 0.0030522499 1.0197073 1714.5938 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 203 5.7099925 13.701159 -0.041114759 1.0368829 1826.6308 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 216 8.8113092 78.839399 5.1559676e-06 1.0277709 1809.5275 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 218 6.6792780 72.951588 -0.043046754 0.98634275 1808.7852 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 245 5.0408819 85.719490 -0.040190411 0.97548112 1867.6320 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 255 7.0411031 34.034609 -0.059966934 0.97384255 1831.9703 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 262 4.4201196 28.685562 -0.050791430 0.97183618 1793.7052 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 267 4.6608478 -92.153045 0.065096477 1.0043412 1733.3013 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 273 5.1916957 -118.55535 -0.0036899306 0.94233887 1877.0690 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 283 7.5204399 -86.522646 -0.0051979975 1.0069293 1837.4712 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 289 5.9332953 -54.231837 -0.040518324 1.0344961 1804.4274 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 311 3.5979825 -88.170960 0.018327482 1.0512679 1655.6527 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 314 7.5057778 -55.150098 0.0019049722 1.0512802 1865.4229 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 0 317 4.2776386 0.73878389 -0.059087615 1.0246056 1758.7935 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 0 4.7772292 0.00059631319 -0.011711430 0.98765244 0.99883865 LOCATESKYLINES_2: sdR-r1-00034590.fit: sigma-clipped to 251 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034590.fit: comb2 l,chi^2/dof,fit: 0 3.6265411 -0.0013177883 -0.00052495415 0.98847288 0.99735711 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 251 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: -0.015666-0.0005250.004663 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 8 2.8699196 53.144497 0.0030109665 0.97604635 723.00151 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 17 1.3973292 -136.84256 0.064710219 0.94725479 824.32144 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 28 3.7231320 -163.56717 0.040400761 0.98561618 808.31500 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 32 0.55106995 -183.14999 -0.033864750 0.97068174 825.27866 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 43 1.2791228 -63.557020 0.063645948 1.0680607 786.68077 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 44 1.2261023 -63.001672 0.011540174 0.92946266 822.53894 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 70 3.0670405 62.066445 0.030368288 0.95767465 771.39949 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 78 2.9568597 38.513079 -0.10361680 1.0021076 788.69347 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 89 4.6666495 74.809885 0.014128853 0.96543921 796.45943 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 95 1.2161824 70.902042 -0.081587717 1.1381665 753.48315 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 101 1.6319484 145.85008 -0.029865955 0.94404928 788.44250 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 123 1.0857174 87.368940 0.0082775651 1.0477184 745.22158 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 124 2.3643118 101.79216 0.075239684 0.99813294 810.34765 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 126 3.1122982 147.36120 -0.012269760 1.0098872 848.89499 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 134 1.5677110 138.44245 -0.074282949 1.0460222 782.21485 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 156 2.2503040 183.41768 0.057235851 0.93402591 791.75446 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 203 2.6064061 43.747849 -0.13137051 1.0306537 749.66436 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 216 2.2041170 130.56514 0.024409241 0.99956873 729.74955 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 218 2.8382778 53.585179 0.029519727 1.0228715 812.53239 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 245 2.3356290 79.584384 0.0051727741 1.0149551 832.37048 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 255 0.12723468 35.655722 0.099091098 1.0074445 780.38705 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 262 4.1646243 25.984430 0.039011481 1.0460674 733.74613 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 267 1.1102780 -98.267116 -0.050767708 0.92503914 761.48249 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 273 1.1485881 -115.12353 -0.0056798859 0.92711335 779.62928 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 283 2.6750909 -76.885998 0.018169862 1.0381529 791.52961 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 289 1.4894125 -62.129729 -0.12714877 1.0942918 771.46007 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 311 0.29050555 -82.247665 0.014077627 1.0392145 700.00390 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 314 2.6302492 50.167543 -0.040817836 0.96911148 718.38687 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 1 317 0.99287105 5.3401366 -0.14254648 1.1899091 754.77390 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 1 1.6312991 0.0011281992 -0.0052024054 1.0024660 0.99639417 LOCATESKYLINES_2: sdR-r1-00034590.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034590.fit: comb2 l,chi^2/dof,fit: 1 1.5384180 0.0013827216 -0.0013732849 0.99795819 0.99743579 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: -0.016514-0.0013730.009129 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 8 1.3857109 -61.946317 0.057571669 0.94238827 231.35760 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -288.24094 0.0000000 1.0000000 -62.952484 LOCATESKYLINES_2: sdR-r1-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 28 -0.25000000 -253.45433 0.0000000 1.0000000 -37.375526 LOCATESKYLINES_2: sdR-r1-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -272.69559 0.0000000 1.0000000 -113.74892 LOCATESKYLINES_2: sdR-r1-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 43 1.5258717 -101.61612 0.11366689 1.0160265 167.50519 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 44 0.93482333 -122.82965 -0.12440759 1.1330720 171.45935 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 70 2.3245759 36.400733 -0.26777418 0.93454112 146.33333 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 78 1.4455722 13.137467 -0.15929955 0.98858832 130.26239 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 89 1.4197778 46.300598 -0.11045572 0.96704685 154.90399 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 95 0.89735282 41.938343 -0.33567659 0.87690168 184.92703 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 101 1.0395824 93.357177 -0.14816045 0.83237381 174.78415 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 123 2.2234242 44.598999 -0.89496025 1.9820614 114.11172 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 124 2.3649405 36.693455 -0.040453504 1.0421515 212.66406 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 126 5.8498780 85.714941 -0.26887102 1.1980791 188.22231 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 134 1.9118751 111.66788 -0.45212824 1.0843300 175.73117 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 156 2.2095571 167.00560 -0.19553400 0.83570523 180.86444 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 203 2.2437675 19.013978 -0.15922671 1.1779066 160.28858 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 216 0.55613156 75.495202 -0.10756858 0.73763973 195.84169 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 218 3.2738949 16.173104 -0.33765817 1.2661780 159.83784 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 245 3.4411465 45.854103 -0.10297175 0.95034103 181.01157 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 255 1.7011040 -13.105156 -0.72812874 1.1922071 132.31331 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 262 1.9737318 10.432578 -0.051474967 0.74848363 138.14769 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 267 -0.25000000 -214.42108 0.0000000 1.0000000 -49.652134 LOCATESKYLINES_2: sdR-r1-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 273 2.2402821 -176.60905 -0.41523260 1.3981518 180.28300 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 283 1.6760402 -110.06100 -1.0000000 2.0000000 124.79257 LOCATESKYLINES_2: sdR-r1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 289 6.2870156 -61.730258 -1.0000000 1.5799998 149.84357 LOCATESKYLINES_2: sdR-r1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 311 7.3665962 -91.201497 0.31256196 0.75092188 189.59635 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 314 4.3215792 -13.889392 -1.0000000 2.0000000 149.80021 LOCATESKYLINES_2: sdR-r1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 2 317 4.1832560 7.7672945 -1.0000000 2.0000000 139.76283 LOCATESKYLINES_2: sdR-r1-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 2 1.1619337 0.016402374 -0.13330382 0.97325029 0.97046672 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 189 of 189 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: -0.148445-0.1333040.040911 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 8 0.34527334 -78.334545 0.29596747 0.97511575 227.06619 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 17 0.67352252 -253.78572 -0.090101243 0.88581828 277.54281 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 28 1.0574918 -204.88154 0.050746547 0.83064966 285.18898 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 32 0.69080856 -252.58755 0.074576528 1.1178309 282.21163 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 43 0.82050856 -106.90479 0.057982619 0.99442506 279.88132 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 44 1.6458123 -107.92700 0.14253278 0.93967484 210.08706 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 70 1.6623260 16.921378 -0.0027548543 1.1086977 265.20091 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 78 0.85508545 -4.7404927 -0.088281755 0.91784828 292.51658 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 89 3.5106431 36.109061 -0.14337700 0.94902449 278.55344 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 95 0.43339464 18.433707 0.12694119 0.96139285 285.62035 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 101 1.8431148 64.564476 -0.069026546 1.1067292 234.11302 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 123 1.1078783 17.152897 -0.015772924 1.0353877 262.04397 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 124 0.81694062 43.221557 0.16089010 0.89447291 300.52210 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 126 2.8018315 73.816606 0.13194940 0.89312522 289.33974 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 134 1.9750871 54.493989 0.051092125 0.99299209 311.67558 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 156 0.36761473 147.64952 -0.087211100 1.0518494 260.56175 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 203 2.5942955 -18.023110 0.34070348 1.5444588 252.92253 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 216 1.0192948 59.805309 -0.024592783 0.97330971 283.23557 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 218 1.3342691 26.915472 -0.13306888 0.87362986 262.84278 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 245 3.4922125 -12.573444 0.18897077 1.1472286 330.38343 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 255 0.41481768 2.2260974 0.058481346 0.70350394 270.97597 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 262 0.63585843 10.345219 -0.45517112 0.60035390 319.21483 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 267 0.95368101 -175.60891 0.13887961 0.90684366 247.23058 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 273 1.1854242 -168.79781 -0.094008294 1.0482251 242.18721 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 283 1.9230489 -94.156242 0.13472123 1.1297659 231.73522 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 289 3.7813481 -93.182150 0.42949265 1.2525633 213.94892 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 311 1.7015803 -47.269478 0.081457650 1.0619222 215.13771 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 314 1.2905460 37.365149 -0.011276342 1.2302304 232.71891 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 3 317 1.6631559 35.537352 0.28472139 0.93780950 204.78767 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 3 1.1667721 0.0043694312 0.029024250 1.0032107 0.97414142 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: 0.0138830.0290240.025772 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 8 0.72385634 -85.315534 -0.054074127 0.69918667 374.55494 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 17 0.55207998 -227.77340 0.22665962 0.86030408 315.00667 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 28 0.46767985 -190.88739 -0.14203986 0.95441237 294.20687 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 32 0.43560308 -225.87014 0.10274516 0.99443770 302.54834 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 43 1.8572605 -75.371596 0.020792320 0.85763097 307.15985 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 44 1.1077435 -118.23197 0.081108765 0.93411317 260.26854 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 70 2.1267843 61.017097 0.13630257 0.85373183 256.99343 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 78 1.1503127 -20.092384 0.037471342 0.95182141 379.10149 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 89 0.67799241 81.907820 0.037897460 0.85915721 301.32887 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 95 0.67845737 45.302103 -0.17695648 0.94492115 218.93308 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 101 1.9624673 117.01015 0.035277073 0.94957339 257.11026 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 123 1.3340489 32.916743 0.084547860 1.1707221 279.05112 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 124 0.70301794 36.005784 0.14789943 0.85652753 331.82295 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 126 0.57593731 65.694436 -0.074213453 1.0352485 333.14685 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 134 1.9913436 62.146227 0.073711590 1.1842564 246.26618 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 156 0.28222805 178.25535 -0.045285136 0.98164063 265.03556 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 203 0.064546454 58.047162 -0.020853559 0.84080922 279.65223 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 216 0.96770377 96.513392 -0.32307048 1.1331445 256.31209 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 218 1.2654672 62.360693 -0.070314178 0.99731884 279.90150 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 245 0.46055761 73.351442 -0.060714836 0.82129010 258.57728 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 255 1.0768165 -11.731493 0.0041748421 1.0365828 311.53348 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 262 0.63044098 19.002144 0.53354164 1.2032210 204.00738 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 267 0.35558342 -145.26107 0.35525174 0.94201745 341.50039 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 273 0.61594161 -162.91448 -0.039949429 0.94921903 315.65667 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 283 7.2689958 -88.203971 -0.039821307 0.99112998 328.99920 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 289 4.1550783 -61.591484 0.032909337 0.92068396 306.41559 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 311 0.55898507 -13.036802 -0.14530063 0.74058251 286.83491 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 314 2.3054534 43.747867 0.045454445 1.0806263 317.72946 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 4 317 0.49475420 54.693312 0.018078787 0.98234314 279.43152 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 4 0.99829993 0.0020131666 0.020451156 0.95383077 0.98014024 LOCATESKYLINES_2: sdR-r1-00034590.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034590.fit: comb2 l,chi^2/dof,fit: 4 0.89945985 -0.0017295303 0.020543309 0.95840455 0.98308781 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: 0.0054020.0205430.023073 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 8 0.51165738 -84.849973 -0.044739260 1.1677561 428.68177 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 17 3.4302111 -131.57877 0.21032866 1.0381612 465.96509 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 28 0.80970370 -115.21259 0.14758147 1.1726139 363.43160 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 32 3.2216405 -115.28162 -0.078476735 1.1670712 351.11900 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 43 1.2316920 -45.373100 -0.26109616 1.1256204 426.57336 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 44 0.94736656 -57.742440 0.15150222 1.0315324 421.82624 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 70 1.5307594 89.213154 0.11036158 0.86393632 344.83793 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 78 0.63534813 47.230781 0.29077799 1.0672243 372.10889 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 89 1.1172342 109.98437 0.19962742 0.87890723 410.09043 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 95 0.58477932 63.682790 0.091825284 0.88457099 420.95139 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 101 0.51699717 121.63215 0.21968954 1.0896405 425.58889 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 123 0.49523388 106.09119 0.012542927 1.0491066 405.35583 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 124 4.5423813 11.773470 -0.035779950 1.3627028 490.41648 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 126 2.2984098 73.299640 0.037539914 1.4116844 466.35309 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 134 1.7247649 104.08639 0.054861277 1.1158664 401.39323 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 156 0.99887432 194.39078 -0.034522335 0.91964418 356.94024 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 203 1.2698771 26.933924 0.11817254 1.0687205 489.47302 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 216 1.2147335 114.46436 -0.032155988 0.84188796 458.60955 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 218 1.6026895 95.222264 -0.028107494 0.95610502 403.22794 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 245 1.1970590 68.843033 0.017651603 1.0797961 450.89379 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 255 1.3253622 17.215780 0.13323318 0.78644738 429.65029 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 262 4.5597357 -13.292508 -0.14832570 1.0463612 473.95015 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 267 0.38206907 -69.756067 -0.042810189 0.89525654 394.57031 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 273 0.61232334 -87.928387 -0.047727151 1.2281210 317.20275 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 283 2.1633203 -27.480826 0.026814805 0.99703361 465.07367 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 289 1.1301948 -54.724127 -0.092989026 1.0761693 394.59811 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 311 1.4857652 2.2225748 0.0082142551 1.0810139 427.57052 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 314 1.6970472 94.705040 -0.13860464 1.1371075 449.42497 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 5 317 0.50944672 84.489469 0.10057435 0.89193876 453.31790 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 5 1.3994978 0.0089074619 0.042534520 1.0298264 0.98347480 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: 0.0273940.0425350.018695 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 8 2.9432439 -154.06566 -0.059719621 0.97585211 816.81775 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 17 1.5046574 -205.09369 0.0081552579 1.0053763 764.59689 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 28 0.87684543 -178.90709 0.081322584 0.95228669 799.93522 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 32 1.7770425 -221.76379 -0.040071450 1.0115108 767.52929 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 43 1.1205269 -79.027657 -0.047846157 0.91845978 826.58633 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 44 4.2062654 -54.528401 0.050841657 0.95784596 847.79466 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 70 1.6919597 7.5968089 -0.10542899 0.97293524 856.30086 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 78 0.61636444 16.834047 -0.048023922 1.0252556 903.25951 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 89 1.8022123 66.190729 -0.030706957 0.90398488 935.35950 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 95 3.5736370 5.3256750 0.10599656 0.84690173 929.07996 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 101 1.5860589 42.488413 0.0024398291 0.94317701 952.39915 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 123 1.5888619 96.170723 -0.059097673 0.94648133 854.26336 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 124 0.89737712 93.273154 -0.0027902410 0.91970653 907.72348 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 126 0.66792394 119.11642 0.012827928 0.97289509 839.62612 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 134 0.77296120 120.98074 -0.050509913 0.94628776 861.83365 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 156 3.7071764 183.69643 -0.046571958 0.88869861 798.09262 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 203 2.8159546 21.428232 -0.011261596 0.90030320 954.48009 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 216 2.2832255 75.432583 -0.0053563782 0.96431793 925.48880 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 218 2.1462339 -5.1273079 -0.17761011 1.0363213 939.23060 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 245 0.59712736 44.587875 0.10146175 0.86607120 948.30500 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 255 2.6401794 15.158405 0.016175918 0.84778129 895.37431 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 262 1.4064191 -35.717930 -0.0027944578 1.1026481 779.50998 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 267 1.9507934 -147.18569 0.068979415 0.92628706 903.20083 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 273 0.31806674 -126.53867 -0.12949451 0.98846665 889.78170 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 283 2.1527147 -48.465164 -0.023677734 1.0107710 811.02737 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 289 1.2347627 -81.296867 -0.047280931 1.0112878 929.69593 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 311 1.6785462 -15.022989 -0.068600316 1.0470295 877.90073 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 314 0.72578396 52.003823 -0.16818390 1.0162578 831.62533 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 6 317 1.4352489 37.613019 -0.046156474 1.0193046 784.54914 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 6 1.4033149 0.00072545869 -0.027336703 0.95706943 0.99532063 LOCATESKYLINES_2: sdR-r1-00034590.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034590.fit: comb2 l,chi^2/dof,fit: 6 1.3337099 0.0014129639 -0.024781607 0.96054043 0.99301361 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: -0.039922-0.0247820.009893 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 8 0.52803709 -120.28791 0.010593111 0.95040869 1027.0376 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 17 3.7461540 -240.30409 0.015413005 0.96805035 1086.6818 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 28 2.7098880 -213.21480 0.055308322 1.0010153 1048.2185 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 32 1.6929653 -262.96179 -0.012065087 1.0424235 1101.3392 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 43 0.91750280 -79.072531 -0.044006253 0.89265313 1113.0225 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 44 0.56806142 -84.000402 0.034493591 0.96932450 1115.9761 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 70 3.7114397 10.004837 0.016856234 0.92829315 1080.9503 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 78 1.2636752 54.503338 0.030147411 0.90704346 1161.2337 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 89 0.51445827 126.13683 -0.025087034 0.89552311 1065.0981 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 95 2.5431285 -2.3010902 -0.0035220301 0.95405542 1151.0328 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 101 3.1014430 73.198951 -0.053879677 0.90431806 1145.7680 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 123 2.1222425 106.18306 -0.0016747700 0.90188731 1106.8124 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 124 4.4915564 76.192303 -0.068690810 0.86207510 1147.7569 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 126 0.69091732 98.784103 0.018417343 0.84581034 1285.4725 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 134 0.66922465 30.598397 -0.072299821 0.91427461 1150.2348 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 156 2.5887570 150.25320 -0.027222649 0.97725383 1078.1098 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 203 8.2452777 -10.437269 -0.11086004 1.0809257 1119.5377 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 216 3.0798149 59.025732 -0.022973656 0.99352378 1105.8196 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 218 1.7525144 79.276798 0.0046799523 0.92729046 1072.9342 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 245 2.2881228 67.476656 -0.024511124 0.83554452 1152.3469 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 255 6.8692833 -27.228198 -0.038959876 0.93579830 1164.7665 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 262 2.6966327 -27.651047 0.0026185581 0.96640236 984.41967 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 267 1.4658146 -136.86506 -0.041883541 1.0203363 979.43288 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 273 1.6689632 -171.13066 0.020646882 0.95949291 1055.4008 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 283 0.65540011 -45.235449 0.10377236 0.87180767 1061.0078 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 289 1.6625177 -31.013011 0.0088686861 0.92251676 1035.6436 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 311 4.1533786 -9.3974507 0.016172184 0.98855378 1072.2680 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 314 2.5182156 42.741468 -0.021549703 0.95564622 1101.2546 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 7 317 1.4548020 51.446819 -0.042791390 0.92060858 1130.9517 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 7 1.8072825 0.00066545721 -0.012216060 0.93712209 0.99660755 LOCATESKYLINES_2: sdR-r1-00034590.fit: sigma-clipped to 258 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034590.fit: comb2 l,chi^2/dof,fit: 7 1.5348292 -0.00067576246 -0.0058454740 0.94689114 0.99492675 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 258 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: -0.020986-0.0058450.008072 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 8 2.3037374 -218.74614 0.067219869 0.99195969 1284.1890 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 17 0.87794366 -205.71089 0.041503245 0.94689330 1328.3767 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 28 2.9114884 -232.77168 0.084955233 0.95330073 1263.1482 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 32 0.86834692 -248.58977 0.00018352878 0.95121899 1289.1906 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 43 0.63249098 -153.34620 0.033169775 0.99392758 1253.3469 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 44 2.8186924 -71.779262 0.15290776 0.88414849 1296.4240 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 70 1.3938634 -23.562785 0.042917549 0.85741224 1409.2953 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 78 1.4013999 -47.882742 -0.042238731 0.88701176 1324.4814 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 89 1.3367780 -22.501633 0.016352660 0.92726016 1414.1687 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 95 1.1821655 -43.764787 0.080659323 0.88424797 1353.3723 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 101 3.6287008 19.420593 0.057632131 0.92477680 1336.3244 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 123 4.0688638 2.4761930 0.067339694 0.94081993 1373.9059 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 124 2.2582935 24.360508 0.072859426 0.85222036 1503.5368 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 126 0.75917260 28.558933 0.066520195 0.89058532 1405.8351 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 134 4.3112506 14.143932 0.017145438 0.98666628 1326.6121 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 156 0.54055395 70.578955 -0.0087653453 0.87591154 1319.4605 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 203 1.8858725 0.27127585 0.032817733 0.84380199 1355.8327 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 216 1.2265185 -51.920445 -0.015114937 0.90613914 1381.9523 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 218 1.9708563 -18.607562 0.10387848 0.81886957 1332.8341 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 245 0.74680413 -57.011042 0.039566571 0.95226285 1288.7159 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 255 1.7245243 -89.389231 0.033100790 0.91418856 1348.1071 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 262 1.4416795 -78.366350 -0.030202583 0.83083297 1379.1550 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 267 0.30275532 -231.71561 0.025850402 0.90253136 1407.4420 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 273 5.3287359 -278.44915 0.035105880 0.89789694 1447.3626 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 283 0.55694277 -145.97767 -0.011313275 0.93360895 1307.3680 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 289 0.88809054 -148.51652 -0.061398597 0.91097452 1276.6368 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 311 4.7889306 -183.17094 0.058169721 0.94023628 1371.1307 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 314 1.4666116 -111.41960 0.066024033 1.0329290 1318.3146 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 8 317 2.0471820 -32.629543 0.037743963 0.87683451 1320.4344 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 8 1.6476789 0.00025772354 0.036065154 0.91126502 0.99639683 LOCATESKYLINES_2: sdR-r1-00034590.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034590.fit: comb2 l,chi^2/dof,fit: 8 1.5785120 0.00026496000 0.033957914 0.91390280 0.99533711 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: 0.0188170.0339580.006616 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 8 2.7757327 -183.43617 -0.0090571710 0.98576498 1371.8872 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 17 1.0705721 -155.31276 0.021000580 0.89474314 1485.2166 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 28 3.0604051 -255.76674 0.087517982 0.97002717 1395.8370 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 32 0.26782924 -214.07825 0.079091723 0.89555281 1467.6167 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 43 0.54438045 -147.23586 0.035144795 0.94377610 1415.7590 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 44 1.9759560 -89.082069 0.029516182 0.91261525 1502.5545 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 70 1.4525891 -20.857660 0.00060340564 0.89671519 1488.5260 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 78 3.1987953 3.5145193 0.027643686 0.96348478 1356.6457 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 89 4.2130306 -7.2675290 0.023474821 0.99096221 1396.8545 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 95 4.0790038 -40.917053 0.059310279 0.97160823 1524.7484 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 101 0.51828567 45.477918 0.040026592 0.88657402 1376.5630 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 123 0.75795044 48.402688 0.010568537 0.94324790 1509.4613 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 124 1.2406374 33.196530 0.076813062 0.86969800 1562.2475 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 126 2.5428891 36.031744 0.056500759 0.89710174 1486.8825 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 134 3.7808445 -32.170452 -0.032778046 0.98162418 1426.2856 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 156 3.3256711 85.861351 -0.0046372788 0.92262405 1402.8313 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 203 6.2596588 -40.213194 0.014043614 0.92314278 1444.3943 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 216 3.5650190 -53.383205 -0.0041246297 0.92346054 1500.7786 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 218 1.6381658 -52.974080 -0.0028290678 0.97407153 1490.8384 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 245 6.6179774 -56.420147 0.00010261625 0.97857207 1466.0757 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 255 2.7955140 -99.419394 0.018632636 0.96741110 1466.3335 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 262 1.0451735 -80.253072 0.15883818 0.82950666 1413.1005 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 267 2.0865936 -225.24220 0.035602899 0.96623592 1344.1085 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 273 2.4738134 -236.88412 0.026957455 0.90391173 1538.0377 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 283 1.1504240 -170.22259 -0.024874612 0.92971158 1520.1200 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 289 0.50786869 -101.35094 -0.0014469314 0.87457648 1560.7859 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 311 4.6825494 -113.50407 -0.028866391 0.96395711 1355.7111 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 314 0.93990778 -116.81514 0.0043474457 1.0160959 1433.0776 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 9 317 1.2217939 -41.310934 0.010031500 0.89381200 1585.3459 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 9 1.8112775 0.00022062897 0.022878101 0.93192815 0.99751657 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: 0.0077370.0228780.006264 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 8 2.0123882 -254.41822 0.078426203 0.94233234 1287.0881 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 17 3.5251645 -149.96339 0.031568987 0.85079903 1375.6693 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 28 0.80658851 -181.54340 0.092809143 0.97607305 1182.8172 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 32 6.4429108 -229.77839 0.018735398 0.90654923 1297.5843 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 43 1.0442803 -167.36136 0.043306019 0.93873288 1322.3432 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 44 0.23129412 -182.62692 -0.028301319 0.87720843 1489.0312 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 70 1.8625211 -27.422780 -0.010897617 0.91239639 1294.6899 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 78 0.40978356 -63.316209 0.12352157 0.96736426 1455.0485 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 89 0.91459676 -53.125312 0.021079014 0.86735627 1359.5836 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 95 2.5889055 -95.939416 0.046791373 0.92668224 1388.3302 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 101 2.1639464 -21.009959 0.061753605 0.89814668 1295.3936 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 123 1.6547679 -14.365210 0.051470950 0.90321117 1343.5689 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 124 1.2213567 -10.065068 0.090740991 0.90239057 1396.0385 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 126 2.1221164 -10.100916 0.083020947 0.90743406 1457.5243 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 134 0.78215780 -22.680093 0.075412805 0.89642069 1429.7943 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 156 2.4740673 7.4166174 0.10667376 0.95355661 1362.1438 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 203 1.4621911 -115.22130 0.10543318 0.95855660 1337.2166 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 216 1.1802161 -101.25909 0.022157699 0.88802785 1386.5683 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 218 1.7613205 -64.947525 -0.0017167308 0.90491551 1325.4097 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 245 0.72768308 -53.317381 0.071620003 0.87920836 1404.6042 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 255 0.50651057 -155.86489 0.022846355 0.93126767 1425.7279 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 262 0.69965126 -205.60747 0.12881763 0.91888649 1375.0540 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 267 1.7338521 -290.76192 0.14451305 0.97911992 1364.7432 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 273 2.1996491 -274.80861 0.12766383 0.89744089 1410.4638 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 283 2.0849688 -162.50460 0.068998134 0.95673409 1381.1665 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 289 3.1821894 -162.80826 0.026042823 0.87656655 1370.7391 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 311 1.5744999 -236.59516 0.15312204 0.94978685 1316.3526 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 314 2.0779903 -90.227393 0.030075747 0.88109569 1314.0045 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 10 317 0.35038959 -79.298668 0.016050978 0.90999764 1310.7529 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 10 1.3701186 0.00047874757 0.060452211 0.91532590 0.99774689 LOCATESKYLINES_2: sdR-r1-00034590.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034590.fit: comb2 l,chi^2/dof,fit: 10 1.2864788 0.00061576875 0.062106445 0.91753785 0.99663644 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: 0.0469660.0621060.006395 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 8 4.2000102 -226.44316 0.081733508 0.91382145 1435.7127 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 17 2.8280532 -190.95400 0.097637825 0.87637852 1481.8045 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 28 1.5933306 -200.01254 0.035341236 0.91019674 1544.7921 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 32 1.2139120 -264.56067 0.041649732 0.91013314 1504.2862 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 43 1.7814351 -186.89661 -0.029541488 0.91041168 1510.8159 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 44 1.8825660 -154.49875 -0.0077296165 0.92042975 1490.5155 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 70 1.4824954 -39.081220 0.016085502 0.86205032 1582.2105 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 78 0.31202728 -46.457461 0.10242296 0.84589974 1484.7529 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 89 1.3129381 -56.707109 0.016139901 0.86184511 1516.4431 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 95 3.2123016 -57.202267 0.092930649 0.85564361 1625.5320 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 101 1.0146602 -19.783269 0.065281929 0.91317932 1501.9838 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 123 1.7351532 -21.506799 0.079255847 0.88919463 1638.3871 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 124 1.3933090 -18.349952 0.093951906 0.83042962 1691.8885 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 126 4.0905669 -46.624096 0.050132980 0.95767098 1583.6204 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 134 2.7625535 -61.916879 0.048175057 0.94000236 1576.5949 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 156 3.9626540 49.806702 0.059901751 0.90320758 1530.4946 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 203 2.3482079 -83.607209 0.048064546 0.87477263 1532.7092 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 216 1.9185375 -82.291558 0.0029048760 0.93096781 1500.7558 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 218 7.8400782 -108.83974 0.020357757 0.89706726 1580.2169 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 245 1.5184193 -75.567139 0.046409151 0.84510877 1675.4005 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 255 1.1554979 -108.14017 0.051047157 0.84861482 1554.6416 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 262 0.67295234 -227.04724 0.10448936 0.93686453 1553.4883 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 267 1.4396681 -273.13151 0.093685000 0.95449994 1475.8949 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 273 2.1393253 -224.00447 0.14431984 0.88820225 1537.8475 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 283 4.9379066 -128.15786 0.13645588 0.94314293 1430.2947 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 289 5.3071393 -197.12837 0.081075349 1.0273805 1551.9335 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 311 1.2273180 -172.47738 0.13340516 0.91371707 1392.6492 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 314 2.1618409 -130.33353 0.053815344 0.92635290 1455.4019 LOCATESKYLINES_2: sdR-r1-00034590.fit: l,f,chi^2/dof,c: 11 317 4.3647905 -63.601710 0.027125197 0.88580195 1461.5710 LOCATESKYLINES_2: sdR-r1-00034590.fit: comb1 l,chi^2/dof,fit: 11 1.9713647 3.7095850e-05 0.059596281 0.90095016 0.99668443 LOCATESKYLINES_2: sdR-r1-00034590.fit: sigma-clipped to 258 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034590.fit: comb2 l,chi^2/dof,fit: 11 1.7159777 0.00059733948 0.057585276 0.89694199 0.99267922 LOCATESKYLINES_2: sdR-r1-00034590.fit: kept 258 of 261 points LOCATESKYLINES_2: sdR-r1-00034590.fit: offset, refoff, sigma: 0.0424440.0575850.005879 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 FITMEANX: sdR-r1-00034590.fit: In skyline number 0 std-dev is 0.034874962 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 1 std-dev is 0.049904872 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 2 std-dev is 0.17699535 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 3 std-dev is 0.081358300 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 4 std-dev is 0.078733339 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 5 std-dev is 0.081672915 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 6 std-dev is 0.052990347 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 7 std-dev is 0.041394130 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 8 std-dev is 0.038651805 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 9 std-dev is 0.036443472 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 10 std-dev is 0.052579876 pix FITMEANX: sdR-r1-00034590.fit: In skyline number 11 std-dev is 0.042004270 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 6300.3040 coadded std-dev is 0.00466286 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 6363.7760 coadded std-dev is 0.00912933 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 6553.6100 coadded std-dev is 0.0409106 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 6923.2100 coadded std-dev is 0.0257719 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 6949.0300 coadded std-dev is 0.0230735 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 7571.7500 coadded std-dev is 0.0186955 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 7794.1200 coadded std-dev is 0.00989278 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 7821.5100 coadded std-dev is 0.00807232 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 8399.1600 coadded std-dev is 0.00661627 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 8430.1700 coadded std-dev is 0.00626385 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 8885.8300 coadded std-dev is 0.00639512 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: In sky feature at 8919.6100 coadded std-dev is 0.00587899 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034590.fit: Median arc shift = -0.0096704187 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: Dispersion in arc shift = 0.018260290 pix LOCATESKYLINES_2: sdR-r1-00034590.fit: Maximum sky-line shift is 0.063012075 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Number of sky fibers = 17 ROW NITER SIG(med) CHI^2 .0000 10 0.82 5.25 .0001 5 0.82 4.73 .0002 4 0.82 4.54 .0003 5 0.82 3.88 .0004 4 0.82 4.64 .0005 4 0.82 4.21 .0006 5 0.82 4.61 .0007 12 0.82 7.52 .0008 2 0.82 0.66 .0009 5 0.82 4.75 .0010 3 0.82 2.91 .0011 5 0.82 4.67 .0012 6 0.82 4.65 .0013 5 0.82 4.08 .0014 5 0.82 4.45 .0015 5 0.82 1.59 .0016 2 0.82 4.18 .0017 1 0.82 0.71 .0018 10 0.82 6.71 .0019 8 0.82 6.01 .0020 3 0.82 4.73 .0021 6 0.82 4.37 .0022 5 0.82 4.09 .0023 5 0.82 5.13 .0024 8 0.82 6.10 .0025 4 0.82 4.36 .0026 4 0.82 3.25 .0027 8 0.82 3.64 .0028 1 0.82 0.67 .0029 12 0.82 5.05 .0030 6 0.82 4.76 .0031 5 0.82 2.70 .0032 1 0.82 0.77 .0033 6 0.82 5.58 .0034 4 0.82 3.55 .0035 6 0.82 4.92 .0036 10 0.82 8.18 .0037 4 0.82 4.79 .0038 6 0.82 5.47 .0039 4 0.82 3.84 .0040 5 0.81 5.36 .0041 4 0.81 4.44 .0042 5 0.81 5.97 .0043 1 0.81 0.70 .0044 4 0.81 0.67 .0045 8 0.81 3.67 .0046 5 0.81 5.06 .0047 5 0.81 5.51 .0048 4 0.81 4.85 .0049 5 0.81 4.23 .0050 4 0.81 4.44 .0051 4 0.81 4.57 .0052 3 0.81 4.97 .0053 6 0.81 6.06 .0054 6 0.81 4.90 .0055 5 0.81 5.53 .0056 6 0.81 4.94 .0057 4 0.81 4.35 .0058 5 0.81 5.82 .0059 5 0.81 4.99 .0060 2 0.80 1.53 .0061 2 0.80 0.91 .0062 3 0.80 0.82 .0063 1 0.80 1.05 .0064 1 0.80 1.18 .0065 1 0.80 0.85 .0066 5 0.80 6.44 .0067 2 0.80 0.90 .0068 2 0.80 1.04 .0069 1 0.80 1.24 .0070 1 0.80 0.93 .0071 8 0.80 6.52 .0072 3 0.80 0.85 .0073 1 0.80 1.12 .0074 2 0.80 0.85 .0075 2 0.80 1.47 .0076 5 0.80 4.93 .0077 6 0.80 6.64 .0078 4 0.80 0.81 .0079 6 0.80 6.08 .0080 5 0.83 5.36 .0081 5 0.83 5.32 .0082 5 0.83 4.09 .0083 5 0.83 6.13 .0084 8 0.83 5.94 .0085 5 0.83 4.53 .0086 4 0.83 5.55 .0087 3 0.83 4.30 .0088 6 0.83 4.59 .0089 2 0.83 0.74 .0090 0 0.83 0.00 .0091 3 0.83 0.56 .0092 6 0.83 3.04 .0093 6 0.83 5.64 .0094 11 0.83 7.26 .0095 1 0.83 0.80 .0096 4 0.83 4.85 .0097 5 0.83 4.35 .0098 4 0.83 2.53 .0099 6 0.83 6.28 .0100 3 0.79 0.97 .0101 4 0.79 0.76 .0102 3 0.79 0.84 .0103 3 0.79 0.99 .0104 1 0.79 0.99 .0105 2 0.79 1.06 .0106 2 0.79 1.43 .0107 2 0.79 1.22 .0108 2 0.79 1.45 .0109 2 0.79 1.02 .0110 2 0.79 1.01 .0111 2 0.79 1.07 .0112 1 0.79 1.14 .0113 2 0.79 1.15 .0114 1 0.79 1.21 .0115 3 0.79 0.93 .0116 2 0.79 1.01 .0117 3 0.79 1.46 .0118 2 0.79 1.10 .0119 2 0.79 0.98 .0120 7 0.77 6.87 .0121 8 0.77 6.88 .0122 3 0.77 4.53 .0123 3 0.77 0.78 .0124 2 0.77 0.85 .0125 9 0.77 7.23 .0126 2 0.77 0.74 .0127 6 0.77 5.07 .0128 6 0.77 3.80 .0129 7 0.77 4.30 .0130 5 0.77 6.33 .0131 3 0.77 5.45 .0132 3 0.77 4.56 .0133 10 0.77 9.35 .0134 1 0.77 0.82 .0135 7 0.77 5.90 .0136 5 0.77 6.29 .0137 12 0.77 7.72 .0138 7 0.77 6.77 .0139 7 0.77 7.89 .0140 2 0.79 0.86 .0141 4 0.79 0.99 .0142 1 0.79 0.81 .0143 3 0.79 0.86 .0144 3 0.79 0.91 .0145 2 0.79 0.92 .0146 2 0.79 1.00 .0147 2 0.79 1.50 .0148 2 0.79 0.96 .0149 3 0.79 5.98 .0150 2 0.79 1.04 .0151 2 0.79 1.09 .0152 2 0.79 1.36 .0153 1 0.79 1.32 .0154 3 0.79 1.04 .0155 3 0.79 0.80 .0156 4 0.79 0.86 .0157 3 0.79 1.07 .0158 3 0.79 0.98 .0159 1 0.79 1.32 .0160 5 0.80 0.87 .0161 3 0.80 0.91 .0162 3 0.80 1.00 .0163 4 0.80 1.03 .0164 2 0.80 1.15 .0165 6 0.80 0.91 .0166 2 0.80 1.18 .0167 3 0.80 0.95 .0168 3 0.80 1.18 .0169 3 0.80 1.11 .0170 5 0.80 0.82 .0171 3 0.80 1.04 .0172 5 0.80 0.86 .0173 4 0.80 0.37 .0174 1 0.80 0.72 .0175 4 0.80 0.89 .0176 3 0.80 0.92 .0177 3 0.80 0.97 .0178 6 0.80 0.88 .0179 5 0.80 0.90 .0180 4 0.80 5.60 .0181 1 0.80 1.49 .0182 3 0.80 0.80 .0183 4 0.80 0.96 .0184 1 0.80 1.14 .0185 1 0.80 1.27 .0186 4 0.80 0.86 .0187 1 0.80 0.97 .0188 2 0.80 0.94 .0189 3 0.80 0.89 .0190 1 0.80 1.08 .0191 4 0.80 0.91 .0192 2 0.80 0.83 .0193 1 0.80 1.06 .0194 4 0.80 3.93 .0195 2 0.80 0.86 .0196 2 0.80 0.90 .0197 7 0.80 3.54 .0198 3 0.80 0.85 .0199 2 0.80 1.41 .0200 4 0.80 5.00 .0201 3 0.80 5.02 .0202 5 0.80 5.99 .0203 3 0.80 0.70 .0204 5 0.80 4.86 .0205 5 0.80 5.46 .0206 4 0.80 3.99 .0207 3 0.80 5.10 .0208 4 0.80 4.18 .0209 6 0.80 5.93 .0210 6 0.80 6.92 .0211 11 0.80 9.11 .0212 5 0.80 5.41 .0213 7 0.80 4.69 .0214 4 0.80 4.18 .0215 3 0.80 3.75 .0216 1 0.80 0.75 .0217 8 0.80 7.96 .0218 2 0.80 0.76 .0219 7 0.80 7.09 .0220 6 0.80 6.37 .0221 2 0.80 1.04 .0222 4 0.80 5.19 .0223 1 0.80 0.74 .0224 9 0.80 6.14 .0225 4 0.80 4.19 .0226 5 0.80 6.18 .0227 4 0.80 5.38 .0228 11 0.80 8.01 .0229 1 0.80 1.41 .0230 2 0.80 0.89 .0231 8 0.80 5.90 .0232 1 0.80 1.18 .0233 2 0.80 0.96 .0234 1 0.80 0.88 .0235 3 0.80 0.95 .0236 2 0.80 0.93 .0237 2 0.80 0.86 .0238 3 0.80 0.83 .0239 3 0.80 1.29 .0240 4 0.80 5.03 .0241 10 0.80 6.72 .0242 3 0.80 5.09 .0243 6 0.80 5.59 .0244 6 0.80 4.59 .0245 2 0.80 0.76 .0246 5 0.80 4.60 .0247 4 0.80 4.02 .0248 3 0.80 3.69 choldc failed 28 .0249 1 0.80 803.83 .0250 5 0.80 5.61 .0251 0 0.80 0.00 .0252 6 0.80 5.20 .0253 11 0.80 6.91 .0254 4 0.80 4.62 .0255 3 0.80 0.78 .0256 3 0.80 3.78 .0257 7 0.80 6.30 .0258 4 0.80 5.33 .0259 4 0.80 5.00 .0260 6 0.79 6.42 .0261 4 0.79 4.50 .0262 1 0.79 0.62 .0263 4 0.79 4.81 .0264 13 0.79 7.87 .0265 11 0.79 6.96 .0266 9 0.79 1.41 .0267 1 0.79 0.75 .0268 6 0.79 5.09 .0269 6 0.79 5.35 .0270 6 0.79 5.17 .0271 6 0.79 6.11 .0272 9 0.79 6.57 .0273 1 0.79 0.81 .0274 4 0.79 7.70 .0275 7 0.79 5.94 .0276 12 0.79 7.19 .0277 4 0.79 4.22 .0278 4 0.79 4.99 .0279 4 0.79 4.62 .0280 3 0.83 4.81 .0281 6 0.83 4.12 .0282 6 0.83 4.94 .0283 3 0.83 0.80 .0284 6 0.83 5.12 .0285 6 0.83 5.09 .0286 5 0.83 3.36 .0287 5 0.83 4.41 .0288 7 0.83 5.07 .0289 3 0.83 0.78 .0290 17 0.83 5.55 .0291 4 0.83 5.84 .0292 2 0.83 3.38 .0293 7 0.83 5.42 .0294 0 0.83 0.00 .0295 8 0.83 7.13 .0296 4 0.83 4.59 .0297 8 0.83 5.61 .0298 2 0.83 4.03 .0299 2 0.83 3.37 .0300 6 0.84 4.52 .0301 3 0.84 2.97 .0302 3 0.84 4.32 .0303 12 0.84 9.13 .0304 5 0.84 3.58 .0305 7 0.84 4.57 .0306 3 0.84 3.33 .0307 7 0.84 5.47 .0308 4 0.84 4.35 .0309 6 0.84 5.33 .0310 9 0.84 6.66 .0311 2 0.84 0.79 .0312 2 0.84 4.68 .0313 11 0.84 6.70 .0314 4 0.84 0.77 .0315 9 0.84 7.00 .0316 9 0.84 5.87 .0317 4 0.84 0.73 .0318 5 0.84 6.12 .0319 4 0.84 4.09 EXTRACT_IMAGE: sdR-r1-00034590.fit: masked 1229 pixels SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 0 median sigma(arc)= 0.87531988 sigma(sky)= -5891.3625 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 0 sigma^2(add)= 34708152. +/- 27395548. SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 1 median sigma(arc)= 0.86891061 sigma(sky)= 1.4672515 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 1 sigma^2(add)= 1.3978204 +/- 0.060565096 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 2 median sigma(arc)= 0.85104467 sigma(sky)= 0.19965838 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 2 sigma^2(add)= 1.3711264 +/- 1278016.6 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 3 median sigma(arc)= 0.82247124 sigma(sky)= -1747.9209 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 3 sigma^2(add)= 3055226.9 +/- 3825423.8 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 4 median sigma(arc)= 0.82080837 sigma(sky)= -131.49551 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 4 sigma^2(add)= 8735.4523 +/- 813297.89 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 5 median sigma(arc)= 0.79558093 sigma(sky)= 0.62786358 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 5 sigma^2(add)= 0.0031917281 +/- 0.86056466 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 6 median sigma(arc)= 0.79414097 sigma(sky)= 1.0601996 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 6 sigma^2(add)= 0.49336353 +/- 0.23572016 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 7 median sigma(arc)= 0.79426243 sigma(sky)= 1.1446859 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 7 sigma^2(add)= 0.67945283 +/- 0.27775824 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 8 median sigma(arc)= 0.81323506 sigma(sky)= 0.72065448 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 8 sigma^2(add)= -0.14200638 +/- 0.22776194 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 9 median sigma(arc)= 0.81518839 sigma(sky)= 0.67523774 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 9 sigma^2(add)= -0.20858572 +/- 0.32042733 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 10 median sigma(arc)= 0.85586746 sigma(sky)= 0.88377100 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 10 sigma^2(add)= 0.048540925 +/- 0.14226809 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 11 median sigma(arc)= 0.85981410 sigma(sky)= 0.97501353 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Line # 11 sigma^2(add)= 0.21137270 +/- 0.21086391 SKYLINE_DISPERSION: sdR-r1-00034590.fit: Flexure sigma^2(add) = 0.071023401 +/- 0.14187334 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034590.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034590.fit: Heliocentric correction = 23.611703 km/s FITVACSET: sdR-r1-00034590.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034590.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034590.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034590.fit: Number of pixels rejected: 2 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034590.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-r1-00034590.fit: Airmass range = 1.35258 1.41071 SKYSUBTRACT: sdR-r1-00034590.fit: Discarding 0.00284352 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 of 2046 Bin 50 of 2046 Bin 51 of 2046 Bin 52 of 2046 Bin 53 of 2046 Bin 54 of 2046 Bin 55 of 2046 Bin 56 of 2046 Bin 57 of 2046 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Bin 1997 of 2046 Bin 1998 of 2046 Bin 1999 of 2046 Bin 2000 of 2046 Bin 2001 of 2046 Bin 2002 of 2046 Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034590.fit: Median sky-residual chi2 = 2.68766 SKYSUBTRACT: sdR-r1-00034590.fit: Max sky-residual chi2 = 12.6934 EXTRACT_OBJECT: sdR-r1-00034590.fit: Calling skysubtract again; masked skyfibers 311 SKYSUBTRACT: sdR-r1-00034590.fit: Number of sky fibers = 16 SKYSUBTRACT: sdR-r1-00034590.fit: Airmass range = 1.35258 1.41071 SKYSUBTRACT: sdR-r1-00034590.fit: Discarding 0.00292969 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 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2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034590.fit: Median sky-residual chi2 = 2.33319 SKYSUBTRACT: sdR-r1-00034590.fit: Max sky-residual chi2 = 10.0185 QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 79 = -16.1504 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 90 = 17.2538 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 102 = 47.3994 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 124 = 26.3915 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 125 = 30.8962 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 127 = 61.7998 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 135 = 42.8388 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 204 = -21.5007 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 256 = -49.7142 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 263 = -68.0949 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 315 = -38.4730 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 318 = -25.9479 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Median sky-residual chi = 1.55978 QAPLOT_SKYSUB: sdR-r1-00034590.fit: Max sky-residual chi = 3.29192 at 8019.6937 Ang SKYSUBTRACT: sdR-r1-00034590.fit: Number of sky fibers = 16 SKYSUBTRACT: sdR-r1-00034590.fit: Airmass range = 1.35258 1.41071 SKYSUBTRACT: sdR-r1-00034590.fit: Discarding 0.00292969 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 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Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034590.fit: Median sky-residual chi2 = 1.91405 SKYSUBTRACT: sdR-r1-00034590.fit: Max sky-residual chi2 = 13.2029 QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 71 = -21.2587 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 79 = -29.4719 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 96 = -21.3110 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 102 = 31.8599 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 124 = 10.5407 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 125 = 14.4189 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 127 = 45.9940 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 135 = 27.5699 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 204 = -23.5508 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 246 = 12.7728 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 256 = -31.4857 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 263 = -46.1193 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 315 = 16.9384 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Warning: Median sky-sub flux in sky fiber 318 = 22.9967 electrons QAPLOT_SKYSUB: sdR-r1-00034590.fit: Median sky-residual chi = 1.41041 QAPLOT_SKYSUB: sdR-r1-00034590.fit: Max sky-residual chi = 3.66215 at 6566.5222 Ang QAPLOT_SKYLINE: sdR-r1-00034590.fit: Airmass range = 1.35 1.41 QAPLOT_SKYLINE: sdR-r1-00034590.fit: Flux dispersion for skyline 7343.0 = 5.74 % % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r1-00034590.fit: Airmass range = 1.35 1.41 QAPLOT_SKYLINE: sdR-r1-00034590.fit: Flux dispersion for skyline 8888.3 = 4.08 % SPADD_GUIDERINFO: sdR-r1-00034590.fit: Number of guider frames = 24 SPREDUCE: sdR-r1-00034590.fit: Elapsed time = 199. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 1361. seconds SPREDUCE2D: Time to reduce camera r1 = 1361. seconds READPLUGMAP: r2: Rescaling SCI_EXPTIME values by 600.10000 READPLUGMAP: r2: Adding fields from calibObj file READPLUGMAP: r2: LIED about EBV. Set to 0.3 PLUG2TSOBJ: r2: WARNING: calibObj file not found for plate 2338 READPLUGMAP: r2: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: r2: Number of missing fibers: 4 SPCALIB: r2: Tracing flat # 1 of 2 SPCALIB: r2: Reading flat sdR-r2-00034585.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opECalib-51577.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.35736 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 481.337 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 460. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.69394 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1294.52 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1274. DN is 0 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Tracing 320 fibers in sdR-r2-00034585.fit TRACE320CEN: r2: Big gap at fiber= 20, x= 155.12, dx= 8.11 TRACE320CEN: r2: Big gap at fiber= 40, x= 283.46, dx= 9.30 TRACE320CEN: r2: Big gap at fiber= 60, x= 409.91, dx= 8.06 TRACE320CEN: r2: Big gap at fiber= 80, x= 536.23, dx= 8.30 TRACE320CEN: r2: Big gap at fiber= 100, x= 662.33, dx= 8.32 TRACE320CEN: r2: Big gap at fiber= 140, x= 911.85, dx= 7.53 TRACE320CEN: r2: Big gap at fiber= 160, x=1037.18, dx= 8.26 TRACE320CEN: r2: Big gap at fiber= 180, x=1161.66, dx= 7.56 TRACE320CEN: r2: Big gap at fiber= 200, x=1286.87, dx= 8.02 TRACE320CEN: r2: Big gap at fiber= 220, x=1412.71, dx= 8.35 TRACE320CEN: r2: Big gap at fiber= 240, x=1538.23, dx= 7.91 TRACE320CEN: r2: Big gap at fiber= 260, x=1664.79, dx= 8.20 TRACE320CEN: r2: Big gap at fiber= 280, x=1791.11, dx= 8.12 TRACE320CEN: r2: Big gap at fiber= 300, x=1919.61, dx= 9.48 TRACE320CRUDE: r2: Warning: Fixing traces: 54 168 169 223 224 228 241 247 248 263 275 276 292 311 318 319 SPCALIB: r2: Fitting traces in sdR-r2-00034585.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 1 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 36 56 2048 12 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 1 111 2048 0 112 2048 88 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 61 167 2048 0 168 2048 0 169 2048 0 170 2048 2 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 10 184 2048 110 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 42 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 27 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 80 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 62 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 532 SPCALIB: r2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 3.93 .0004 3 1.00 3.20 .0005 2 1.00 3.24 .0006 1 1.00 3.16 .0007 2 1.00 3.49 .0008 3 1.00 3.18 .0009 2 1.00 3.34 .0010 1 1.00 3.21 .0011 1 1.00 3.17 .0012 1 1.00 3.45 .0013 2 1.00 3.18 .0014 2 1.00 2.80 .0015 2 1.00 2.99 .0016 2 1.00 2.71 .0017 2 1.00 2.92 .0018 3 1.00 2.92 .0019 3 1.00 3.10 .0020 3 1.00 2.98 .0021 2 1.00 2.97 .0022 2 1.00 2.72 .0023 2 1.00 2.74 .0024 2 1.00 3.04 .0025 2 1.00 2.87 .0026 2 1.00 2.95 .0027 2 1.00 2.96 .0028 2 1.00 2.99 .0029 2 1.00 2.79 .0030 2 1.00 2.72 .0031 2 1.00 2.88 .0032 2 1.00 2.89 .0033 2 1.00 2.76 .0034 2 1.00 2.77 .0035 2 1.00 2.89 .0036 2 1.00 2.81 .0037 2 1.00 2.90 .0038 2 1.00 2.79 .0039 2 1.00 2.82 .0040 2 1.00 2.81 .0041 2 1.00 2.84 .0042 2 1.00 2.84 .0043 2 1.00 2.83 .0044 2 1.00 2.93 .0045 2 1.00 2.79 .0046 2 1.00 2.67 .0047 2 1.00 2.81 .0048 2 1.00 2.95 .0049 2 1.00 2.73 .0050 2 1.00 2.88 .0051 2 1.00 2.83 .0052 2 1.00 2.94 .0053 2 1.00 2.85 .0054 2 1.00 2.72 .0055 2 1.00 2.91 .0056 2 1.00 2.86 .0057 2 1.00 2.90 .0058 2 1.00 2.86 .0059 2 1.00 2.88 .0060 2 1.00 2.79 .0061 2 1.00 2.67 .0062 2 1.00 2.76 .0063 2 1.00 2.79 .0064 2 1.00 2.74 .0065 2 1.00 2.73 .0066 2 1.00 2.61 .0067 2 1.00 2.83 .0068 2 1.00 2.81 .0069 2 1.00 2.73 .0070 2 1.00 3.02 .0071 2 1.00 4.12 .0072 2 1.00 2.87 .0073 2 1.00 2.66 .0074 2 1.00 2.71 .0075 2 1.00 2.90 .0076 2 1.00 2.90 .0077 2 1.00 2.95 .0078 3 1.00 2.87 .0079 2 1.00 2.88 .0080 2 1.00 3.01 .0081 2 1.00 2.96 .0082 2 1.00 2.84 .0083 2 1.00 2.99 .0084 2 1.00 2.96 .0085 2 1.00 3.04 .0086 2 1.00 2.68 .0087 2 1.00 2.85 .0088 2 1.00 2.84 .0089 2 1.00 2.76 .0090 2 1.00 2.83 .0091 2 1.00 2.78 .0092 2 1.00 2.82 .0093 2 1.00 2.87 .0094 2 1.00 2.86 .0095 2 1.00 2.69 .0096 2 1.00 3.02 .0097 2 1.00 3.06 .0098 2 1.00 2.91 .0099 2 1.00 2.73 .0100 2 1.00 3.00 .0101 2 1.00 2.88 .0102 2 1.00 2.92 .0103 2 1.00 3.00 .0104 2 1.00 2.92 .0105 2 1.00 2.77 .0106 2 1.00 2.83 .0107 2 1.00 3.01 .0108 2 1.00 2.81 .0109 2 1.00 2.79 .0110 2 1.00 2.88 .0111 2 1.00 3.02 .0112 2 1.00 3.00 .0113 2 1.00 3.06 .0114 2 1.00 3.08 .0115 2 1.00 2.99 .0116 2 1.00 3.24 .0117 2 1.00 3.40 .0118 2 1.00 3.22 .0119 2 1.00 3.03 .0120 2 1.00 3.10 .0121 2 1.00 3.08 .0122 2 1.00 3.03 .0123 2 1.00 3.04 .0124 2 1.00 3.21 .0125 2 1.00 3.06 .0126 2 1.00 3.18 .0127 2 1.00 3.11 .0128 2 1.00 3.15 .0129 2 1.00 3.20 .0130 2 1.00 3.32 .0131 2 1.00 3.24 .0132 2 1.00 3.35 .0133 2 1.00 3.21 .0134 2 1.00 3.40 .0135 2 1.00 3.41 .0136 2 1.00 3.42 .0137 2 1.00 3.44 .0138 2 1.00 3.43 .0139 2 1.00 3.44 .0140 2 1.00 3.45 .0141 2 1.00 3.64 .0142 2 1.00 3.49 .0143 2 1.00 3.79 .0144 2 1.00 3.70 .0145 2 1.00 3.67 .0146 2 1.00 3.93 .0147 2 1.00 3.55 .0148 2 1.00 3.50 .0149 2 1.00 4.03 .0150 2 1.00 3.61 .0151 2 1.00 3.91 .0152 3 1.00 3.78 .0153 2 1.00 3.69 .0154 2 1.00 3.90 .0155 2 1.00 3.85 .0156 2 1.00 3.65 .0157 2 1.00 3.76 .0158 2 1.00 4.05 .0159 2 1.00 3.93 .0160 2 1.00 3.71 .0161 2 1.00 3.83 .0162 2 1.00 3.74 .0163 2 1.00 3.91 .0164 2 1.00 3.85 .0165 2 1.00 3.90 .0166 2 1.00 4.00 .0167 2 1.00 3.86 .0168 2 1.00 3.80 .0169 2 1.00 3.96 .0170 2 1.00 4.07 .0171 2 1.00 4.00 .0172 2 1.00 3.94 .0173 2 1.00 4.04 .0174 2 1.00 3.79 .0175 2 1.00 3.79 .0176 2 1.00 3.95 .0177 2 1.00 4.02 .0178 2 1.00 3.91 .0179 2 1.00 3.75 .0180 2 1.00 3.91 .0181 2 1.00 3.82 .0182 2 1.00 3.91 .0183 2 1.00 3.70 .0184 2 1.00 3.91 .0185 2 1.00 3.77 .0186 2 1.00 3.93 .0187 2 1.00 3.82 .0188 2 1.00 3.84 .0189 2 1.00 3.78 .0190 1 1.00 4.25 .0191 1 1.00 4.24 .0192 2 1.00 3.57 .0193 1 1.00 4.17 .0194 1 1.00 4.06 .0195 1 1.00 4.06 .0196 1 1.00 4.77 .0197 1 1.00 3.96 .0198 1 1.00 4.11 .0199 1 1.00 3.96 .0200 1 1.00 3.86 .0201 1 1.00 3.83 .0202 1 1.00 4.03 .0203 1 1.00 3.82 .0204 1 1.00 3.77 .0205 1 1.00 4.01 .0206 1 1.00 3.68 .0207 1 1.00 3.94 .0208 1 1.00 3.57 .0209 1 1.00 3.69 .0210 1 1.00 3.71 .0211 1 1.00 3.63 .0212 1 1.00 3.99 .0213 1 1.00 3.67 .0214 1 1.00 3.75 .0215 1 1.00 3.66 .0216 1 1.00 3.80 .0217 1 1.00 3.74 .0218 1 1.00 3.80 .0219 1 1.00 3.68 .0220 1 1.00 3.80 .0221 1 1.00 3.71 .0222 1 1.00 3.51 .0223 1 1.00 3.90 .0224 1 1.00 3.63 .0225 1 1.00 3.85 .0226 1 1.00 3.72 .0227 1 1.00 3.76 .0228 1 1.00 3.65 .0229 1 1.00 3.79 .0230 1 1.00 3.82 .0231 1 1.00 3.66 .0232 1 1.00 3.72 .0233 1 1.00 3.88 .0234 1 1.00 3.79 .0235 1 1.00 3.66 .0236 1 1.00 3.84 .0237 1 1.00 3.69 .0238 1 1.00 3.87 .0239 3 1.00 3.84 .0240 1 1.00 3.84 .0241 1 1.00 4.03 .0242 1 1.00 3.86 .0243 1 1.00 3.85 .0244 1 1.00 3.80 .0245 1 1.00 3.84 .0246 1 1.00 3.76 .0247 1 1.00 3.85 .0248 1 1.00 3.85 .0249 1 1.00 3.95 .0250 1 1.00 3.92 .0251 1 1.00 3.99 .0252 1 1.00 4.18 .0253 1 1.00 4.13 .0254 1 1.00 3.87 .0255 1 1.00 4.13 .0256 1 1.00 4.10 .0257 1 1.00 4.07 .0258 1 1.00 4.07 .0259 1 1.00 4.21 .0260 1 1.00 4.28 .0261 1 1.00 4.14 .0262 1 1.00 4.12 .0263 1 1.00 4.44 .0264 1 1.00 4.30 .0265 1 1.00 4.28 .0266 1 1.00 4.24 .0267 1 1.00 4.39 .0268 1 1.00 4.21 .0269 1 1.00 4.32 .0270 1 1.00 4.21 .0271 1 1.00 4.37 .0272 1 1.00 4.35 .0273 1 1.00 4.48 .0274 2 1.00 4.49 .0275 1 1.00 4.59 .0276 1 1.00 4.68 .0277 1 1.00 4.47 .0278 1 1.00 4.49 .0279 2 1.00 3.85 .0280 1 1.00 4.57 .0281 1 1.00 4.70 .0282 2 1.00 3.98 .0283 1 1.00 4.59 .0284 2 1.00 4.23 .0285 2 1.00 4.09 .0286 2 1.00 4.23 .0287 2 1.00 4.12 .0288 2 1.00 4.04 .0289 2 1.00 4.14 .0290 2 1.00 4.07 .0291 2 1.00 4.04 .0292 2 1.00 4.02 .0293 2 1.00 4.06 .0294 2 1.00 4.12 .0295 2 1.00 4.01 .0296 2 1.00 3.93 .0297 2 1.00 4.16 .0298 2 1.00 4.04 .0299 2 1.00 4.02 .0300 2 1.00 4.09 .0301 2 1.00 4.02 .0302 2 1.00 3.92 .0303 2 1.00 4.04 .0304 2 1.00 3.95 .0305 2 1.00 3.91 .0306 2 1.00 3.97 .0307 2 1.00 3.99 .0308 2 1.00 3.94 .0309 2 1.00 3.75 .0310 2 1.00 3.93 .0311 2 1.00 3.71 .0312 2 1.00 3.83 .0313 2 1.00 3.57 .0314 2 1.00 3.79 .0315 2 1.00 3.93 .0316 2 1.00 4.06 .0317 2 1.00 3.93 .0318 2 1.00 3.88 .0319 2 1.00 3.68 .0320 2 1.00 3.69 .0321 2 1.00 3.73 .0322 3 1.00 4.11 .0323 2 1.00 3.62 .0324 2 1.00 3.56 .0325 2 1.00 3.57 .0326 2 1.00 3.76 .0327 2 1.00 3.76 .0328 2 1.00 3.48 .0329 2 1.00 3.66 .0330 2 1.00 3.54 .0331 2 1.00 3.62 .0332 2 1.00 3.48 .0333 2 1.00 3.57 .0334 2 1.00 3.51 .0335 2 1.00 3.49 .0336 2 1.00 3.33 .0337 2 1.00 3.49 .0338 2 1.00 3.39 .0339 2 1.00 3.51 .0340 2 1.00 3.44 .0341 2 1.00 3.53 .0342 2 1.00 3.34 .0343 2 1.00 3.31 .0344 2 1.00 3.31 .0345 2 1.00 3.38 .0346 2 1.00 3.38 .0347 2 1.00 3.27 .0348 2 1.00 3.37 .0349 2 1.00 3.51 .0350 2 1.00 3.28 .0351 2 1.00 3.40 .0352 2 1.00 3.35 .0353 2 1.00 3.43 .0354 2 1.00 3.18 .0355 2 1.00 3.30 .0356 2 1.00 3.35 .0357 2 1.00 3.25 .0358 2 1.00 3.45 .0359 2 1.00 3.40 .0360 2 1.00 3.31 .0361 2 1.00 3.41 .0362 2 1.00 3.25 .0363 2 1.00 3.38 .0364 2 1.00 3.77 .0365 2 1.00 3.44 .0366 2 1.00 3.34 .0367 2 1.00 2.98 .0368 2 1.00 3.26 .0369 2 1.00 3.31 .0370 2 1.00 3.43 .0371 2 1.00 3.76 .0372 2 1.00 3.77 .0373 2 1.00 3.71 .0374 2 1.00 3.79 .0375 2 1.00 3.77 .0376 2 1.00 3.83 .0377 2 1.00 3.71 .0378 2 1.00 3.85 .0379 3 1.00 4.13 .0380 2 1.00 3.23 .0381 2 1.00 3.14 .0382 2 1.00 3.30 .0383 2 1.00 3.14 .0384 2 1.00 3.00 .0385 2 1.00 3.04 .0386 2 1.00 3.14 .0387 2 1.00 3.07 .0388 2 1.00 3.18 .0389 2 1.00 3.39 .0390 2 1.00 2.99 .0391 2 1.00 3.20 .0392 2 1.00 3.04 .0393 2 1.00 3.24 .0394 2 1.00 3.15 .0395 2 1.00 3.12 .0396 2 1.00 2.98 .0397 2 1.00 3.03 .0398 2 1.00 3.00 .0399 2 1.00 3.09 .0400 2 1.00 3.00 .0401 2 1.00 2.93 .0402 2 1.00 2.90 .0403 2 1.00 2.96 .0404 2 1.00 3.06 .0405 2 1.00 2.85 .0406 2 1.00 3.00 .0407 2 1.00 2.91 .0408 2 1.00 2.89 .0409 2 1.00 2.95 .0410 2 1.00 3.02 .0411 2 1.00 3.19 .0412 2 1.00 3.04 .0413 2 1.00 3.33 .0414 2 1.00 2.86 .0415 2 1.00 2.89 .0416 2 1.00 2.98 .0417 2 1.00 2.96 .0418 2 1.00 2.99 .0419 2 1.00 2.79 .0420 2 1.00 3.01 .0421 2 1.00 2.85 .0422 2 1.00 2.89 .0423 2 1.00 2.77 .0424 2 1.00 2.85 .0425 2 1.00 2.83 .0426 2 1.00 2.76 .0427 2 1.00 2.82 .0428 2 1.00 2.78 .0429 2 1.00 2.75 .0430 2 1.00 2.74 .0431 2 1.00 2.85 .0432 2 1.00 2.86 .0433 2 1.00 2.86 .0434 2 1.00 2.74 .0435 2 1.00 3.00 .0436 2 1.00 2.86 .0437 2 1.00 2.71 .0438 2 1.00 2.69 .0439 2 1.00 2.96 .0440 2 1.00 2.80 .0441 2 1.00 2.80 .0442 2 1.00 2.95 .0443 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2 1.00 4.85 .1665 1 1.00 4.29 .1666 1 1.00 4.16 .1667 1 1.00 4.05 .1668 1 1.00 4.12 .1669 1 1.00 4.23 .1670 1 1.00 4.26 .1671 1 1.00 4.19 .1672 1 1.00 4.07 .1673 1 1.00 4.14 .1674 1 1.00 4.13 .1675 1 1.00 4.20 .1676 1 1.00 4.06 .1677 1 1.00 4.12 .1678 1 1.00 4.12 .1679 1 1.00 4.14 .1680 1 1.00 4.26 .1681 1 1.00 3.98 .1682 1 1.00 3.94 .1683 1 1.00 4.17 .1684 1 1.00 4.19 .1685 1 1.00 4.08 .1686 1 1.00 4.05 .1687 1 1.00 4.36 .1688 1 1.00 4.21 .1689 1 1.00 4.03 .1690 1 1.00 4.06 .1691 1 1.00 4.04 .1692 1 1.00 4.07 .1693 1 1.00 4.11 .1694 1 1.00 3.97 .1695 1 1.00 3.80 .1696 1 1.00 3.94 .1697 1 1.00 4.07 .1698 1 1.00 4.11 .1699 1 1.00 4.05 .1700 1 1.00 3.98 .1701 1 1.00 4.05 .1702 1 1.00 3.93 .1703 1 1.00 4.08 .1704 1 1.00 4.21 .1705 1 1.00 3.99 .1706 1 1.00 4.03 .1707 1 1.00 4.12 .1708 1 1.00 3.92 .1709 1 1.00 4.30 .1710 1 1.00 3.98 .1711 1 1.00 4.05 .1712 1 1.00 4.09 .1713 1 1.00 3.99 .1714 1 1.00 3.96 .1715 1 1.00 3.89 .1716 1 1.00 3.94 .1717 1 1.00 3.90 .1718 1 1.00 3.95 .1719 3 1.00 3.94 .1720 1 1.00 4.25 .1721 1 1.00 3.93 .1722 1 1.00 3.98 .1723 1 1.00 4.00 .1724 1 1.00 4.53 .1725 1 1.00 4.15 .1726 1 1.00 4.06 .1727 1 1.00 4.04 .1728 1 1.00 3.93 .1729 1 1.00 3.93 .1730 1 1.00 3.94 .1731 1 1.00 4.09 .1732 1 1.00 4.03 .1733 1 1.00 4.10 .1734 1 1.00 4.40 .1735 1 1.00 3.90 .1736 1 1.00 4.05 .1737 1 1.00 3.98 .1738 1 1.00 4.09 .1739 1 1.00 3.94 .1740 1 1.00 3.98 .1741 1 1.00 4.07 .1742 1 1.00 4.12 .1743 1 1.00 4.28 .1744 1 1.00 4.02 .1745 1 1.00 4.05 .1746 1 1.00 4.20 .1747 1 1.00 4.03 .1748 1 1.00 4.01 .1749 1 1.00 3.97 .1750 1 1.00 3.94 .1751 1 1.00 3.74 .1752 1 1.00 4.07 .1753 1 1.00 3.96 .1754 1 1.00 3.98 .1755 1 1.00 3.91 .1756 1 1.00 4.12 .1757 1 1.00 3.82 .1758 1 1.00 4.00 .1759 1 1.00 3.99 .1760 1 1.00 3.99 .1761 1 1.00 4.09 .1762 1 1.00 4.02 .1763 1 1.00 4.11 .1764 1 1.00 4.07 .1765 1 1.00 3.91 .1766 1 1.00 3.96 .1767 1 1.00 4.17 .1768 1 1.00 4.26 .1769 1 1.00 3.81 .1770 1 1.00 4.09 .1771 1 1.00 3.92 .1772 1 1.00 3.92 .1773 1 1.00 4.05 .1774 1 1.00 4.07 .1775 1 1.00 4.14 .1776 1 1.00 4.15 .1777 1 1.00 4.11 .1778 1 1.00 4.07 .1779 1 1.00 4.14 .1780 1 1.00 4.37 .1781 1 1.00 3.98 .1782 1 1.00 4.14 .1783 1 1.00 4.05 .1784 1 1.00 4.12 .1785 1 1.00 4.19 .1786 1 1.00 4.24 .1787 1 1.00 4.10 .1788 1 1.00 4.18 .1789 1 1.00 4.31 .1790 1 1.00 4.28 .1791 1 1.00 3.94 .1792 1 1.00 4.18 .1793 1 1.00 4.17 .1794 1 1.00 4.01 .1795 1 1.00 4.19 .1796 1 1.00 4.00 .1797 1 1.00 4.06 .1798 1 1.00 4.16 .1799 1 1.00 4.01 .1800 1 1.00 4.11 .1801 1 1.00 4.22 .1802 1 1.00 4.48 .1803 1 1.00 4.30 .1804 1 1.00 4.15 .1805 1 1.00 4.28 .1806 1 1.00 4.19 .1807 1 1.00 4.16 .1808 1 1.00 4.06 .1809 1 1.00 4.22 .1810 1 1.00 4.14 .1811 1 1.00 4.38 .1812 1 1.00 4.16 .1813 1 1.00 4.25 .1814 1 1.00 4.55 .1815 2 1.00 4.23 .1816 1 1.00 4.72 .1817 1 1.00 4.14 .1818 1 1.00 4.50 .1819 1 1.00 4.52 .1820 1 1.00 4.27 .1821 1 1.00 4.30 .1822 1 1.00 4.41 .1823 1 1.00 4.47 .1824 1 1.00 4.24 .1825 1 1.00 4.28 .1826 1 1.00 4.36 .1827 1 1.00 4.36 .1828 1 1.00 4.49 .1829 1 1.00 4.32 .1830 1 1.00 4.12 .1831 1 1.00 4.35 .1832 1 1.00 4.21 .1833 1 1.00 4.42 .1834 1 1.00 4.56 .1835 1 1.00 4.58 .1836 1 1.00 4.55 .1837 1 1.00 4.29 .1838 1 1.00 4.42 .1839 1 1.00 4.46 .1840 1 1.00 4.43 .1841 1 1.00 4.30 .1842 1 1.00 4.25 .1843 1 1.00 4.39 .1844 1 1.00 4.47 .1845 1 1.00 4.14 .1846 1 1.00 4.44 .1847 1 1.00 4.32 .1848 1 1.00 4.27 .1849 1 1.00 4.03 .1850 1 1.00 4.34 .1851 1 1.00 4.47 .1852 1 1.00 4.28 .1853 1 1.00 4.18 .1854 1 1.00 4.30 .1855 1 1.00 4.81 .1856 1 1.00 4.25 .1857 1 1.00 4.43 .1858 1 1.00 4.39 .1859 1 1.00 4.35 .1860 1 1.00 4.58 .1861 1 1.00 4.61 .1862 1 1.00 4.66 .1863 1 1.00 4.69 .1864 1 1.00 4.43 .1865 1 1.00 4.41 .1866 1 1.00 4.26 .1867 1 1.00 4.30 .1868 1 1.00 4.47 .1869 1 1.00 4.30 .1870 1 1.00 4.29 .1871 1 1.00 4.11 .1872 1 1.00 4.45 .1873 1 1.00 4.40 .1874 1 1.00 4.35 .1875 1 1.00 4.46 .1876 1 1.00 4.23 .1877 1 1.00 4.49 .1878 1 1.00 4.40 .1879 1 1.00 4.29 .1880 1 1.00 4.33 .1881 1 1.00 4.45 .1882 1 1.00 4.53 .1883 1 1.00 4.53 .1884 1 1.00 4.49 .1885 1 1.00 4.40 .1886 1 1.00 4.47 .1887 1 1.00 4.34 .1888 1 1.00 4.26 .1889 2 1.00 4.22 .1890 1 1.00 4.33 .1891 1 1.00 4.30 .1892 1 1.00 4.43 .1893 1 1.00 4.44 .1894 1 1.00 4.35 .1895 1 1.00 4.36 .1896 1 1.00 4.58 .1897 1 1.00 4.45 .1898 1 1.00 4.40 .1899 1 1.00 4.36 .1900 1 1.00 4.29 .1901 1 1.00 4.35 .1902 1 1.00 4.35 .1903 1 1.00 4.24 .1904 1 1.00 4.41 .1905 1 1.00 4.58 .1906 1 1.00 4.36 .1907 1 1.00 4.27 .1908 1 1.00 4.04 .1909 1 1.00 4.28 .1910 1 1.00 4.32 .1911 1 1.00 4.32 .1912 1 1.00 4.25 .1913 1 1.00 4.15 .1914 1 1.00 4.21 .1915 1 1.00 4.23 .1916 1 1.00 4.30 .1917 1 1.00 4.38 .1918 1 1.00 4.21 .1919 1 1.00 4.72 .1920 1 1.00 4.31 .1921 1 1.00 4.30 .1922 1 1.00 4.28 .1923 1 1.00 4.38 .1924 1 1.00 4.51 .1925 1 1.00 4.26 .1926 1 1.00 4.43 .1927 1 1.00 4.23 .1928 1 1.00 4.45 .1929 1 1.00 4.35 .1930 1 1.00 4.27 .1931 1 1.00 4.36 .1932 1 1.00 4.36 .1933 1 1.00 4.34 .1934 1 1.00 4.47 .1935 1 1.00 4.52 .1936 1 1.00 4.38 .1937 1 1.00 4.28 .1938 1 1.00 4.42 .1939 1 1.00 4.52 .1940 1 1.00 4.40 .1941 1 1.00 4.22 .1942 1 1.00 4.32 .1943 1 1.00 4.23 .1944 1 1.00 4.32 .1945 1 1.00 4.08 .1946 1 1.00 4.26 .1947 1 1.00 4.34 .1948 1 1.00 4.09 .1949 1 1.00 4.08 .1950 1 1.00 4.08 .1951 1 1.00 4.20 .1952 1 1.00 3.93 .1953 1 1.00 4.30 .1954 1 1.00 3.90 .1955 1 1.00 4.26 .1956 1 1.00 4.31 .1957 1 1.00 4.11 .1958 1 1.00 4.14 .1959 1 1.00 4.20 .1960 1 1.00 4.11 .1961 1 1.00 4.21 .1962 1 1.00 4.25 .1963 1 1.00 4.40 .1964 1 1.00 4.18 .1965 1 1.00 4.19 .1966 1 1.00 4.28 .1967 1 1.00 4.22 .1968 1 1.00 4.11 .1969 1 1.00 4.19 .1970 1 1.00 4.13 .1971 1 1.00 4.12 .1972 1 1.00 4.23 .1973 1 1.00 4.30 .1974 1 1.00 4.22 .1975 1 1.00 4.18 .1976 1 1.00 4.13 .1977 1 1.00 4.18 .1978 1 1.00 4.48 .1979 1 1.00 4.22 .1980 1 1.00 4.12 .1981 1 1.00 4.28 .1982 1 1.00 4.27 .1983 1 1.00 4.33 .1984 1 1.00 4.14 .1985 1 1.00 4.28 .1986 1 1.00 3.93 .1987 1 1.00 4.26 .1988 1 1.00 4.13 .1989 1 1.00 4.29 .1990 1 1.00 4.20 .1991 1 1.00 4.35 .1992 1 1.00 4.27 .1993 1 1.00 4.05 .1994 1 1.00 4.17 .1995 1 1.00 4.00 .1996 2 1.00 4.05 .1997 1 1.00 4.10 .1998 1 1.00 4.02 .1999 1 1.00 4.01 .2000 1 1.00 4.13 .2001 1 1.00 3.99 .2002 1 1.00 4.15 .2003 1 1.00 3.90 .2004 1 1.00 4.02 .2005 1 1.00 4.10 .2006 1 1.00 4.03 .2007 1 1.00 4.07 .2008 1 1.00 4.15 .2009 1 1.00 4.02 .2010 1 1.00 4.23 .2011 1 1.00 4.34 .2012 1 1.00 4.65 .2013 1 1.00 4.49 .2014 1 1.00 4.25 .2015 1 1.00 4.29 .2016 1 1.00 4.47 .2017 1 1.00 4.33 .2018 1 1.00 4.30 .2019 1 1.00 4.24 .2020 1 1.00 4.45 .2021 1 1.00 4.19 .2022 1 1.00 4.25 .2023 1 1.00 4.10 .2024 1 1.00 4.18 .2025 1 1.00 4.15 .2026 1 1.00 4.01 .2027 1 1.00 4.22 .2028 1 1.00 4.02 .2029 1 1.00 4.19 .2030 1 1.00 4.10 .2031 1 1.00 4.01 .2032 3 1.00 3.94 .2033 2 1.00 4.17 .2034 1 1.00 3.94 .2035 1 1.00 3.89 .2036 1 1.00 3.91 .2037 1 1.00 4.14 .2038 1 1.00 3.97 .2039 1 1.00 4.04 .2040 1 1.00 3.74 .2041 1 1.00 4.02 .2042 1 1.00 3.90 .2043 1 1.00 4.42 .2044 1 1.00 3.80 .2045 1 1.00 3.98 .2046 1 1.00 4.11 .2047 1 1.00 4.12 EXTRACT_IMAGE: r2: masked 489 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITFLATWIDTH: r2: Median spatial widths = 0.93 0.93 0.93 0.90 pix (LL LR UL UR) SPCALIB: r2: Using Cubic, median chi squareds: vs SPCALIB: r2: Found 0 bright pixels in extracted flat sdR-r2-00034585.fit SPCALIB: r2: Tracing flat # 2 of 2 SPCALIB: r2: Reading flat sdR-r2-00034591.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.59716 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 482.508 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 461. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.71185 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1292.28 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1272. DN is 0 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Tracing 320 fibers in sdR-r2-00034591.fit TRACE320CEN: r2: Big gap at fiber= 20, x= 155.10, dx= 8.10 TRACE320CEN: r2: Big gap at fiber= 40, x= 283.41, dx= 9.28 TRACE320CEN: r2: Big gap at fiber= 60, x= 409.89, dx= 8.06 TRACE320CEN: r2: Big gap at fiber= 80, x= 536.20, dx= 8.29 TRACE320CEN: r2: Big gap at fiber= 100, x= 662.31, dx= 8.32 TRACE320CEN: r2: Big gap at fiber= 140, x= 911.80, dx= 7.53 TRACE320CEN: r2: Big gap at fiber= 160, x=1037.14, dx= 8.26 TRACE320CEN: r2: Big gap at fiber= 180, x=1161.60, dx= 7.55 TRACE320CEN: r2: Big gap at fiber= 200, x=1286.82, dx= 8.03 TRACE320CEN: r2: Big gap at fiber= 220, x=1412.66, dx= 8.36 TRACE320CEN: r2: Big gap at fiber= 240, x=1538.18, dx= 7.91 TRACE320CEN: r2: Big gap at fiber= 260, x=1664.73, dx= 8.23 TRACE320CEN: r2: Big gap at fiber= 280, x=1791.05, dx= 8.12 TRACE320CEN: r2: Big gap at fiber= 300, x=1919.52, dx= 9.46 TRACE320CRUDE: r2: Warning: Fixing traces: 54 168 169 223 224 228 241 247 248 263 275 276 292 311 318 319 SPCALIB: r2: Fitting traces in sdR-r2-00034591.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 3 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 1 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 37 56 2048 13 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 1 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 1 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 77 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 1 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 51 167 2048 0 168 2048 0 169 2048 0 170 2048 18 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 8 184 2048 81 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 1 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 43 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 26 228 2048 0 229 2048 1 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 1 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 53 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 55 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 472 SPCALIB: r2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 3.05 .0004 1 1.00 3.12 .0005 1 1.00 3.16 .0006 1 1.00 3.23 .0007 1 1.00 3.17 .0008 2 1.00 2.76 .0009 1 1.00 3.25 .0010 1 1.00 3.09 .0011 1 1.00 3.16 .0012 2 1.00 2.82 .0013 3 1.00 2.77 .0014 3 1.00 3.04 .0015 2 1.00 2.82 .0016 2 1.00 3.07 .0017 2 1.00 2.90 .0018 2 1.00 2.79 .0019 2 1.00 2.77 .0020 2 1.00 2.84 .0021 2 1.00 2.98 .0022 2 1.00 3.04 .0023 2 1.00 2.99 .0024 2 1.00 2.79 .0025 2 1.00 2.93 .0026 2 1.00 2.92 .0027 2 1.00 2.84 .0028 2 1.00 2.91 .0029 2 1.00 3.00 .0030 2 1.00 2.93 .0031 2 1.00 2.88 .0032 2 1.00 2.99 .0033 2 1.00 3.05 .0034 2 1.00 3.04 .0035 2 1.00 2.95 .0036 2 1.00 2.97 .0037 2 1.00 2.87 .0038 2 1.00 2.79 .0039 2 1.00 2.91 .0040 2 1.00 2.92 .0041 2 1.00 3.09 .0042 2 1.00 2.90 .0043 2 1.00 3.09 .0044 2 1.00 3.31 .0045 2 1.00 3.02 .0046 2 1.00 2.91 .0047 2 1.00 2.98 .0048 2 1.00 2.87 .0049 2 1.00 2.89 .0050 2 1.00 2.98 .0051 2 1.00 2.80 .0052 2 1.00 2.96 .0053 2 1.00 2.92 .0054 2 1.00 2.93 .0055 2 1.00 2.97 .0056 2 1.00 2.79 .0057 2 1.00 2.98 .0058 2 1.00 3.03 .0059 2 1.00 2.85 .0060 2 1.00 2.99 .0061 2 1.00 2.88 .0062 2 1.00 3.25 .0063 2 1.00 3.20 .0064 2 1.00 2.87 .0065 2 1.00 2.87 .0066 2 1.00 2.94 .0067 2 1.00 2.98 .0068 2 1.00 2.86 .0069 2 1.00 2.86 .0070 2 1.00 2.87 .0071 2 1.00 2.94 .0072 2 1.00 3.27 .0073 2 1.00 2.91 .0074 2 1.00 2.86 .0075 2 1.00 3.03 .0076 2 1.00 3.05 .0077 2 1.00 2.90 .0078 2 1.00 3.08 .0079 2 1.00 3.05 .0080 2 1.00 3.04 .0081 2 1.00 3.15 .0082 2 1.00 3.16 .0083 2 1.00 2.88 .0084 2 1.00 2.89 .0085 2 1.00 3.00 .0086 2 1.00 2.89 .0087 2 1.00 2.74 .0088 2 1.00 2.91 .0089 2 1.00 2.96 .0090 2 1.00 2.82 .0091 2 1.00 2.92 .0092 2 1.00 3.02 .0093 2 1.00 2.79 .0094 2 1.00 2.93 .0095 2 1.00 2.93 .0096 2 1.00 2.92 .0097 2 1.00 2.96 .0098 2 1.00 2.81 .0099 2 1.00 2.98 .0100 2 1.00 2.95 .0101 2 1.00 2.93 .0102 2 1.00 3.04 .0103 2 1.00 2.93 .0104 2 1.00 2.98 .0105 2 1.00 3.04 .0106 2 1.00 2.84 .0107 2 1.00 3.19 .0108 2 1.00 3.02 .0109 2 1.00 2.91 .0110 2 1.00 2.90 .0111 2 1.00 3.02 .0112 2 1.00 3.05 .0113 2 1.00 3.05 .0114 2 1.00 3.02 .0115 2 1.00 3.16 .0116 2 1.00 3.26 .0117 2 1.00 3.11 .0118 2 1.00 3.35 .0119 2 1.00 2.98 .0120 2 1.00 3.15 .0121 2 1.00 3.12 .0122 2 1.00 3.05 .0123 2 1.00 3.31 .0124 2 1.00 3.34 .0125 2 1.00 3.11 .0126 3 1.00 3.19 .0127 3 1.00 3.27 .0128 2 1.00 3.19 .0129 2 1.00 3.18 .0130 2 1.00 3.31 .0131 2 1.00 3.39 .0132 2 1.00 3.34 .0133 2 1.00 3.29 .0134 2 1.00 3.36 .0135 2 1.00 3.25 .0136 2 1.00 3.32 .0137 2 1.00 3.32 .0138 2 1.00 3.38 .0139 2 1.00 3.44 .0140 2 1.00 3.40 .0141 2 1.00 3.43 .0142 2 1.00 3.31 .0143 2 1.00 3.39 .0144 2 1.00 3.45 .0145 2 1.00 3.30 .0146 2 1.00 3.59 .0147 2 1.00 3.58 .0148 2 1.00 3.51 .0149 2 1.00 3.66 .0150 2 1.00 3.58 .0151 2 1.00 3.47 .0152 2 1.00 3.91 .0153 2 1.00 3.63 .0154 2 1.00 3.62 .0155 2 1.00 3.99 .0156 2 1.00 3.68 .0157 2 1.00 3.71 .0158 2 1.00 3.89 .0159 2 1.00 3.87 .0160 2 1.00 3.68 .0161 2 1.00 3.69 .0162 2 1.00 3.79 .0163 2 1.00 3.80 .0164 2 1.00 3.87 .0165 2 1.00 3.77 .0166 2 1.00 3.93 .0167 2 1.00 3.92 .0168 2 1.00 3.88 .0169 2 1.00 3.87 .0170 2 1.00 3.78 .0171 2 1.00 3.85 .0172 2 1.00 4.20 .0173 2 1.00 4.03 .0174 2 1.00 3.85 .0175 2 1.00 3.85 .0176 2 1.00 4.20 .0177 2 1.00 3.86 .0178 2 1.00 3.99 .0179 2 1.00 3.92 .0180 2 1.00 3.97 .0181 2 1.00 3.91 .0182 2 1.00 4.05 .0183 2 1.00 4.32 .0184 2 1.00 4.00 .0185 2 1.00 4.17 .0186 2 1.00 3.99 .0187 2 1.00 3.90 .0188 2 1.00 4.03 .0189 1 1.00 4.54 .0190 1 1.00 4.45 .0191 1 1.00 4.37 .0192 1 1.00 4.37 .0193 1 1.00 4.35 .0194 1 1.00 4.01 .0195 1 1.00 4.32 .0196 1 1.00 4.29 .0197 2 1.00 4.31 .0198 1 1.00 4.24 .0199 1 1.00 4.12 .0200 1 1.00 4.15 .0201 1 1.00 4.25 .0202 1 1.00 4.18 .0203 1 1.00 4.08 .0204 1 1.00 4.50 .0205 1 1.00 4.00 .0206 1 1.00 4.06 .0207 1 1.00 3.97 .0208 1 1.00 3.89 .0209 1 1.00 3.87 .0210 1 1.00 3.72 .0211 1 1.00 3.75 .0212 1 1.00 3.85 .0213 1 1.00 3.97 .0214 2 1.00 3.89 .0215 1 1.00 4.00 .0216 1 1.00 3.93 .0217 1 1.00 3.81 .0218 1 1.00 3.63 .0219 1 1.00 3.68 .0220 1 1.00 3.86 .0221 1 1.00 3.66 .0222 1 1.00 3.64 .0223 1 1.00 3.71 .0224 1 1.00 3.64 .0225 1 1.00 3.63 .0226 1 1.00 3.88 .0227 1 1.00 3.72 .0228 1 1.00 3.86 .0229 1 1.00 3.70 .0230 1 1.00 3.81 .0231 1 1.00 4.57 .0232 1 1.00 3.64 .0233 1 1.00 3.68 .0234 1 1.00 3.75 .0235 1 1.00 3.66 .0236 1 1.00 3.67 .0237 1 1.00 4.00 .0238 1 1.00 3.66 .0239 1 1.00 3.70 .0240 1 1.00 3.76 .0241 1 1.00 3.77 .0242 1 1.00 3.99 .0243 1 1.00 3.57 .0244 1 1.00 3.77 .0245 1 1.00 3.74 .0246 1 1.00 3.65 .0247 1 1.00 3.68 .0248 1 1.00 4.05 .0249 2 1.00 3.71 .0250 2 1.00 3.90 .0251 1 1.00 3.54 .0252 1 1.00 3.75 .0253 1 1.00 3.78 .0254 1 1.00 3.81 .0255 1 1.00 3.69 .0256 1 1.00 3.78 .0257 1 1.00 3.82 .0258 1 1.00 3.70 .0259 2 1.00 3.90 .0260 2 1.00 4.00 .0261 2 1.00 3.83 .0262 1 1.00 3.68 .0263 1 1.00 3.81 .0264 1 1.00 4.22 .0265 1 1.00 4.12 .0266 1 1.00 4.00 .0267 1 1.00 4.05 .0268 1 1.00 3.93 .0269 1 1.00 3.99 .0270 1 1.00 4.22 .0271 1 1.00 4.08 .0272 1 1.00 4.06 .0273 1 1.00 3.98 .0274 1 1.00 4.05 .0275 1 1.00 3.95 .0276 1 1.00 4.25 .0277 1 1.00 4.24 .0278 1 1.00 4.12 .0279 1 1.00 4.25 .0280 2 1.00 3.77 .0281 1 1.00 4.72 .0282 1 1.00 5.43 .0283 2 1.00 3.81 .0284 2 1.00 3.81 .0285 2 1.00 3.78 .0286 2 1.00 3.83 .0287 2 1.00 3.85 .0288 2 1.00 3.95 .0289 2 1.00 3.84 .0290 2 1.00 3.81 .0291 2 1.00 4.07 .0292 2 1.00 4.15 .0293 2 1.00 3.97 .0294 2 1.00 3.91 .0295 2 1.00 3.81 .0296 2 1.00 3.91 .0297 2 1.00 3.82 .0298 2 1.00 4.12 .0299 2 1.00 3.61 .0300 2 1.00 4.09 .0301 2 1.00 3.87 .0302 2 1.00 3.91 .0303 2 1.00 3.76 .0304 2 1.00 3.88 .0305 2 1.00 4.05 .0306 2 1.00 3.89 .0307 2 1.00 4.13 .0308 2 1.00 4.10 .0309 2 1.00 4.41 .0310 2 1.00 3.78 .0311 2 1.00 3.89 .0312 2 1.00 3.78 .0313 2 1.00 4.04 .0314 2 1.00 3.77 .0315 2 1.00 3.91 .0316 2 1.00 3.76 .0317 2 1.00 3.87 .0318 2 1.00 3.83 .0319 2 1.00 3.72 .0320 2 1.00 3.99 .0321 2 1.00 3.88 .0322 2 1.00 3.70 .0323 2 1.00 3.84 .0324 2 1.00 3.86 .0325 2 1.00 3.84 .0326 2 1.00 3.63 .0327 2 1.00 3.56 .0328 2 1.00 3.63 .0329 2 1.00 3.74 .0330 2 1.00 3.48 .0331 2 1.00 3.62 .0332 2 1.00 3.59 .0333 2 1.00 3.88 .0334 2 1.00 3.68 .0335 2 1.00 3.63 .0336 2 1.00 3.34 .0337 2 1.00 3.65 .0338 2 1.00 3.66 .0339 2 1.00 3.36 .0340 2 1.00 3.64 .0341 2 1.00 3.59 .0342 2 1.00 3.47 .0343 2 1.00 3.36 .0344 2 1.00 3.56 .0345 2 1.00 3.48 .0346 2 1.00 3.61 .0347 2 1.00 3.41 .0348 2 1.00 3.56 .0349 2 1.00 3.43 .0350 2 1.00 3.36 .0351 2 1.00 3.38 .0352 2 1.00 3.39 .0353 2 1.00 3.35 .0354 2 1.00 3.39 .0355 2 1.00 3.38 .0356 2 1.00 3.43 .0357 2 1.00 3.39 .0358 2 1.00 3.44 .0359 2 1.00 3.49 .0360 2 1.00 3.77 .0361 2 1.00 3.44 .0362 2 1.00 3.42 .0363 2 1.00 3.30 .0364 2 1.00 3.50 .0365 2 1.00 3.27 .0366 2 1.00 3.30 .0367 2 1.00 3.42 .0368 2 1.00 3.42 .0369 2 1.00 3.47 .0370 2 1.00 3.50 .0371 3 1.00 3.52 .0372 2 1.00 3.57 .0373 2 1.00 3.56 .0374 2 1.00 3.58 .0375 2 1.00 3.32 .0376 2 1.00 3.31 .0377 2 1.00 3.04 .0378 2 1.00 3.00 .0379 2 1.00 3.29 .0380 2 1.00 3.13 .0381 2 1.00 3.17 .0382 2 1.00 3.09 .0383 2 1.00 3.12 .0384 2 1.00 3.03 .0385 2 1.00 3.30 .0386 2 1.00 3.21 .0387 2 1.00 3.10 .0388 2 1.00 3.12 .0389 2 1.00 2.98 .0390 2 1.00 3.16 .0391 2 1.00 3.16 .0392 2 1.00 3.17 .0393 2 1.00 3.08 .0394 2 1.00 3.13 .0395 2 1.00 3.13 .0396 2 1.00 3.15 .0397 2 1.00 3.17 .0398 2 1.00 3.23 .0399 2 1.00 3.15 .0400 2 1.00 2.97 .0401 2 1.00 3.16 .0402 2 1.00 3.03 .0403 2 1.00 3.15 .0404 2 1.00 2.95 .0405 2 1.00 3.00 .0406 2 1.00 2.98 .0407 2 1.00 3.05 .0408 2 1.00 2.99 .0409 2 1.00 3.03 .0410 2 1.00 3.05 .0411 2 1.00 2.95 .0412 2 1.00 2.96 .0413 2 1.00 2.91 .0414 2 1.00 2.87 .0415 2 1.00 3.04 .0416 2 1.00 2.92 .0417 2 1.00 2.90 .0418 2 1.00 2.93 .0419 2 1.00 2.87 .0420 2 1.00 2.89 .0421 2 1.00 2.86 .0422 2 1.00 3.09 .0423 2 1.00 2.81 .0424 2 1.00 3.08 .0425 2 1.00 2.84 .0426 2 1.00 2.96 .0427 2 1.00 3.03 .0428 2 1.00 2.80 .0429 2 1.00 2.89 .0430 2 1.00 3.02 .0431 2 1.00 3.06 .0432 2 1.00 2.85 .0433 2 1.00 2.93 .0434 2 1.00 3.01 .0435 2 1.00 2.79 .0436 2 1.00 2.85 .0437 2 1.00 2.87 .0438 2 1.00 2.71 .0439 2 1.00 3.04 .0440 2 1.00 2.91 .0441 2 1.00 3.47 .0442 2 1.00 2.94 .0443 2 1.00 2.88 .0444 2 1.00 3.02 .0445 2 1.00 2.87 .0446 2 1.00 2.96 .0447 2 1.00 2.79 .0448 2 1.00 2.77 .0449 2 1.00 2.69 .0450 2 1.00 2.77 .0451 2 1.00 2.69 .0452 2 1.00 2.82 .0453 2 1.00 2.87 .0454 2 1.00 2.71 .0455 2 1.00 2.65 .0456 2 1.00 2.70 .0457 2 1.00 2.84 .0458 2 1.00 2.61 .0459 2 1.00 2.56 .0460 2 1.00 2.66 .0461 2 1.00 2.55 .0462 2 1.00 2.72 .0463 2 1.00 2.75 .0464 2 1.00 2.84 .0465 2 1.00 2.68 .0466 2 1.00 2.60 .0467 2 1.00 2.67 .0468 2 1.00 2.76 .0469 2 1.00 2.69 .0470 2 1.00 2.73 .0471 2 1.00 2.85 .0472 2 1.00 2.79 .0473 2 1.00 2.75 .0474 2 1.00 2.76 .0475 2 1.00 2.74 .0476 2 1.00 2.92 .0477 2 1.00 2.63 .0478 2 1.00 2.91 .0479 2 1.00 2.78 .0480 2 1.00 2.65 .0481 2 1.00 2.89 .0482 2 1.00 2.77 .0483 2 1.00 2.64 .0484 2 1.00 2.82 .0485 2 1.00 2.72 .0486 2 1.00 2.75 .0487 2 1.00 2.65 .0488 2 1.00 2.69 .0489 2 1.00 3.05 .0490 2 1.00 2.66 .0491 2 1.00 2.75 .0492 2 1.00 2.83 .0493 2 1.00 2.72 .0494 2 1.00 2.82 .0495 2 1.00 2.81 .0496 2 1.00 2.64 .0497 2 1.00 2.82 .0498 2 1.00 2.78 .0499 2 1.00 2.85 .0500 2 1.00 2.89 .0501 2 1.00 2.85 .0502 2 1.00 2.75 .0503 2 1.00 2.86 .0504 2 1.00 3.14 .0505 2 1.00 2.86 .0506 2 1.00 2.77 .0507 2 1.00 2.90 .0508 2 1.00 2.78 .0509 2 1.00 2.88 .0510 2 1.00 2.87 .0511 2 1.00 2.75 .0512 2 1.00 2.95 .0513 1 1.00 3.47 .0514 1 1.00 3.24 .0515 1 1.00 3.09 .0516 1 1.00 3.16 .0517 1 1.00 3.26 .0518 1 1.00 3.37 .0519 1 1.00 3.26 .0520 1 1.00 3.22 .0521 1 1.00 3.23 .0522 2 1.00 3.25 .0523 1 1.00 3.32 .0524 1 1.00 3.34 .0525 1 1.00 3.22 .0526 1 1.00 3.33 .0527 1 1.00 3.25 .0528 1 1.00 3.18 .0529 1 1.00 3.32 .0530 1 1.00 3.38 .0531 1 1.00 3.23 .0532 1 1.00 3.35 .0533 1 1.00 3.12 .0534 1 1.00 3.41 .0535 1 1.00 3.35 .0536 1 1.00 3.37 .0537 1 1.00 3.43 .0538 1 1.00 3.35 .0539 1 1.00 3.49 .0540 3 1.00 3.36 .0541 2 1.00 3.62 .0542 1 1.00 3.50 .0543 1 1.00 3.51 .0544 1 1.00 3.39 .0545 1 1.00 3.44 .0546 1 1.00 3.51 .0547 1 1.00 3.37 .0548 1 1.00 3.50 .0549 1 1.00 3.39 .0550 1 1.00 3.48 .0551 1 1.00 3.47 .0552 1 1.00 3.40 .0553 1 1.00 3.63 .0554 1 1.00 3.42 .0555 1 1.00 3.45 .0556 1 1.00 3.54 .0557 1 1.00 3.49 .0558 1 1.00 3.68 .0559 1 1.00 3.58 .0560 1 1.00 3.73 .0561 1 1.00 3.45 .0562 1 1.00 3.64 .0563 1 1.00 3.60 .0564 2 1.00 3.57 .0565 2 1.00 3.64 .0566 2 1.00 3.57 .0567 2 1.00 3.64 .0568 2 1.00 3.67 .0569 1 1.00 3.93 .0570 3 1.00 3.82 .0571 1 1.00 4.03 .0572 1 1.00 3.70 .0573 1 1.00 3.89 .0574 1 1.00 3.68 .0575 1 1.00 3.69 .0576 1 1.00 3.72 .0577 1 1.00 3.88 .0578 1 1.00 3.68 .0579 1 1.00 3.61 .0580 1 1.00 3.77 .0581 1 1.00 3.71 .0582 1 1.00 3.76 .0583 1 1.00 3.77 .0584 1 1.00 3.85 .0585 1 1.00 3.61 .0586 1 1.00 3.78 .0587 1 1.00 3.92 .0588 1 1.00 3.90 .0589 1 1.00 3.95 .0590 1 1.00 3.92 .0591 1 1.00 3.81 .0592 1 1.00 3.85 .0593 1 1.00 3.81 .0594 1 1.00 3.99 .0595 1 1.00 3.86 .0596 1 1.00 4.29 .0597 1 1.00 4.01 .0598 1 1.00 4.10 .0599 1 1.00 3.97 .0600 1 1.00 4.00 .0601 1 1.00 4.12 .0602 1 1.00 3.96 .0603 1 1.00 4.11 .0604 1 1.00 4.11 .0605 1 1.00 4.02 .0606 1 1.00 4.05 .0607 1 1.00 4.12 .0608 1 1.00 4.05 .0609 1 1.00 4.30 .0610 1 1.00 4.22 .0611 1 1.00 4.24 .0612 1 1.00 4.41 .0613 1 1.00 4.24 .0614 1 1.00 4.45 .0615 1 1.00 4.45 .0616 1 1.00 4.37 .0617 1 1.00 4.45 .0618 1 1.00 4.46 .0619 1 1.00 4.42 .0620 1 1.00 4.10 .0621 1 1.00 4.38 .0622 1 1.00 4.29 .0623 1 1.00 4.32 .0624 1 1.00 4.36 .0625 1 1.00 4.25 .0626 1 1.00 4.40 .0627 1 1.00 4.33 .0628 1 1.00 4.38 .0629 1 1.00 4.56 .0630 1 1.00 4.25 .0631 1 1.00 4.32 .0632 1 1.00 4.66 .0633 1 1.00 4.63 .0634 1 1.00 4.41 .0635 1 1.00 5.07 .0636 1 1.00 4.53 .0637 1 1.00 4.47 .0638 1 1.00 4.41 .0639 1 1.00 4.48 .0640 1 1.00 4.59 .0641 1 1.00 4.55 .0642 1 1.00 4.75 .0643 1 1.00 4.61 .0644 1 1.00 4.69 .0645 1 1.00 4.67 .0646 1 1.00 4.93 .0647 1 1.00 4.65 .0648 1 1.00 5.08 .0649 1 1.00 4.70 .0650 1 1.00 4.76 .0651 1 1.00 4.80 .0652 1 1.00 4.79 .0653 1 1.00 5.81 .0654 1 1.00 4.79 .0655 1 1.00 4.87 .0656 1 1.00 4.72 .0657 1 1.00 4.90 .0658 1 1.00 4.85 .0659 1 1.00 5.10 .0660 1 1.00 4.88 .0661 1 1.00 4.95 .0662 1 1.00 5.10 .0663 1 1.00 4.99 .0664 1 1.00 4.97 .0665 1 1.00 4.89 .0666 1 1.00 5.20 .0667 1 1.00 5.20 .0668 1 1.00 5.07 .0669 1 1.00 5.14 .0670 1 1.00 5.14 .0671 1 1.00 5.23 .0672 1 1.00 5.23 .0673 1 1.00 5.14 .0674 1 1.00 5.25 .0675 1 1.00 5.29 .0676 1 1.00 5.18 .0677 1 1.00 5.16 .0678 1 1.00 5.40 .0679 1 1.00 5.60 .0680 1 1.00 5.29 .0681 1 1.00 5.26 .0682 2 1.00 5.37 .0683 1 1.00 5.39 .0684 1 1.00 5.46 .0685 1 1.00 5.44 .0686 1 1.00 5.45 .0687 1 1.00 5.36 .0688 1 1.00 5.61 .0689 2 1.00 5.47 .0690 1 1.00 5.64 .0691 1 1.00 5.90 .0692 1 1.00 5.58 .0693 1 1.00 5.58 .0694 1 1.00 5.66 .0695 1 1.00 5.86 .0696 1 1.00 5.61 .0697 1 1.00 5.52 .0698 1 1.00 5.69 .0699 1 1.00 5.70 .0700 1 1.00 5.70 .0701 1 1.00 5.62 .0702 1 1.00 5.67 .0703 1 1.00 5.77 .0704 1 1.00 5.60 .0705 1 1.00 5.77 .0706 1 1.00 5.78 .0707 1 1.00 5.69 .0708 1 1.00 5.69 .0709 1 1.00 5.54 .0710 1 1.00 5.85 .0711 1 1.00 5.75 .0712 1 1.00 5.99 .0713 1 1.00 5.69 .0714 1 1.00 5.89 .0715 1 1.00 6.13 .0716 1 1.00 5.83 .0717 1 1.00 5.90 .0718 1 1.00 6.25 .0719 2 1.00 5.87 .0720 1 1.00 5.75 .0721 1 1.00 6.58 .0722 1 1.00 6.14 .0723 1 1.00 5.98 .0724 1 1.00 5.77 .0725 1 1.00 5.83 .0726 1 1.00 5.83 .0727 1 1.00 5.73 .0728 1 1.00 5.60 .0729 1 1.00 5.95 .0730 1 1.00 5.99 .0731 1 1.00 6.13 .0732 1 1.00 6.15 .0733 1 1.00 6.03 .0734 1 1.00 6.13 .0735 1 1.00 6.28 .0736 1 1.00 6.13 .0737 1 1.00 6.28 .0738 1 1.00 6.11 .0739 1 1.00 6.16 .0740 1 1.00 6.34 .0741 1 1.00 6.03 .0742 1 1.00 6.24 .0743 1 1.00 6.21 .0744 1 1.00 6.25 .0745 1 1.00 6.10 .0746 1 1.00 5.96 .0747 1 1.00 5.94 .0748 1 1.00 5.96 .0749 1 1.00 6.10 .0750 1 1.00 5.88 .0751 1 1.00 6.28 .0752 1 1.00 6.35 .0753 1 1.00 6.17 .0754 1 1.00 6.14 .0755 1 1.00 6.12 .0756 1 1.00 6.43 .0757 1 1.00 6.42 .0758 1 1.00 6.24 .0759 1 1.00 6.39 .0760 1 1.00 6.50 .0761 1 1.00 6.73 .0762 1 1.00 6.59 .0763 1 1.00 6.67 .0764 1 1.00 6.23 .0765 1 1.00 6.28 .0766 1 1.00 6.29 .0767 1 1.00 6.11 .0768 1 1.00 6.70 .0769 1 1.00 6.53 .0770 1 1.00 6.38 .0771 1 1.00 6.57 .0772 1 1.00 6.28 .0773 1 1.00 6.38 .0774 1 1.00 6.39 .0775 1 1.00 6.45 .0776 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2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITFLATWIDTH: r2: Median spatial widths = 0.94 0.94 0.92 0.91 pix (LL LR UL UR) SPCALIB: r2: Using Cubic, median chi squareds: vs SPCALIB: r2: Found 0 bright pixels in extracted flat sdR-r2-00034591.fit SPCALIB: r2: Extracting arc # 1 of 2 SPCALIB: r2: Reading arc sdR-r2-00034586.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.29689 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 480.935 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 459. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.57925 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1293.99 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1273. DN is 1 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Fraction of bad pixels in arc = 5.50747e-05 SPCALIB: r2: Arc sdR-r2-00034586.fit paired with flat sdR-r2-00034585.fit MATCH_TRACE: r2: Iteration: 0 Pixels Rejected: 8734 Finished? 0 MATCH_TRACE: r2: Iteration: 1 Pixels Rejected: 389 Finished? 0 MATCH_TRACE: r2: Iteration: 2 Pixels Rejected: 34 Finished? 0 MATCH_TRACE: r2: Iteration: 3 Pixels Rejected: 8 Finished? 0 MATCH_TRACE: r2: Iteration: 4 Pixels Rejected: 0 Finished? 1 SPCALIB: r2: Shifting traces with match_trace 0.00463867 SPCALIB: r2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.94 0.00 .0001 0 0.94 0.00 .0002 0 0.94 0.00 .0003 1 0.94 1.32 .0004 1 0.94 1.38 .0005 1 0.94 1.32 .0006 1 0.94 1.49 .0007 3 0.94 1.41 .0008 2 0.94 1.53 .0009 1 0.94 1.40 .0010 1 0.94 1.52 .0011 1 0.94 1.53 .0012 1 0.94 1.72 .0013 1 0.94 2.07 .0014 1 0.94 2.38 .0015 2 0.94 2.40 .0016 2 0.94 2.22 .0017 1 0.94 2.40 .0018 3 0.94 2.30 .0019 3 0.94 2.84 .0020 2 0.94 2.21 .0021 1 0.94 2.14 .0022 1 0.94 1.97 .0023 1 0.94 2.19 .0024 1 0.94 2.23 .0025 1 0.94 2.50 .0026 1 0.94 2.38 .0027 1 0.94 2.43 .0028 1 0.94 2.41 .0029 1 0.94 2.40 .0030 1 0.94 2.28 .0031 1 0.94 2.51 .0032 1 0.94 3.06 .0033 1 0.94 2.88 .0034 1 0.94 2.13 .0035 2 0.94 2.30 .0036 2 0.94 1.91 .0037 2 0.94 1.41 .0038 1 0.94 1.38 .0039 1 0.94 1.40 .0040 1 0.94 1.48 .0041 1 0.94 1.42 .0042 1 0.94 1.51 .0043 1 0.94 1.60 .0044 1 0.94 1.66 .0045 1 0.94 1.76 .0046 1 0.94 1.70 .0047 1 0.94 1.77 .0048 1 0.94 1.67 .0049 1 0.94 1.64 .0050 1 0.94 1.64 .0051 1 0.94 1.82 .0052 1 0.94 2.25 .0053 1 0.94 1.98 .0054 1 0.94 1.47 .0055 1 0.94 1.78 .0056 1 0.94 2.07 .0057 1 0.94 1.79 .0058 1 0.94 1.91 .0059 1 0.94 2.13 .0060 1 0.94 2.18 .0061 1 0.94 2.01 .0062 1 0.94 2.08 .0063 1 0.94 1.95 .0064 3 0.94 1.68 .0065 1 0.94 1.59 .0066 1 0.94 1.52 .0067 1 0.94 1.44 .0068 1 0.94 1.41 .0069 1 0.94 1.42 .0070 1 0.94 1.48 .0071 1 0.94 1.60 .0072 1 0.94 1.73 .0073 1 0.94 1.77 .0074 1 0.94 1.89 .0075 1 0.94 1.93 .0076 1 0.94 2.06 .0077 2 0.94 2.09 .0078 2 0.94 2.13 .0079 2 0.94 2.44 .0080 2 0.94 2.09 .0081 1 0.94 2.36 .0082 1 0.94 2.19 .0083 1 0.94 2.35 .0084 1 0.94 2.15 .0085 1 0.94 2.20 .0086 1 0.94 2.58 .0087 1 0.94 2.76 .0088 1 0.94 2.73 .0089 2 0.94 2.67 .0090 2 0.94 2.54 .0091 2 0.94 2.54 .0092 2 0.94 2.56 .0093 2 0.94 2.52 .0094 1 0.94 3.27 .0095 1 0.94 3.85 .0096 1 0.94 2.35 .0097 1 0.94 2.16 .0098 1 0.94 2.55 .0099 2 0.94 1.20 .0100 2 0.94 1.14 .0101 2 0.94 1.09 .0102 1 0.94 1.10 .0103 1 0.94 1.19 .0104 1 0.94 1.17 .0105 1 0.94 1.09 .0106 1 0.94 1.12 .0107 1 0.94 1.19 .0108 1 0.94 1.31 .0109 1 0.94 1.28 .0110 1 0.94 1.28 .0111 1 0.94 1.22 .0112 1 0.94 1.26 .0113 1 0.94 1.31 .0114 1 0.94 1.45 .0115 1 0.94 1.57 .0116 1 0.94 1.63 .0117 1 0.94 1.57 .0118 1 0.94 1.61 .0119 1 0.94 1.40 .0120 1 0.94 1.31 .0121 1 0.94 1.33 .0122 1 0.94 1.14 .0123 1 0.94 1.17 .0124 1 0.94 1.24 .0125 1 0.94 1.18 .0126 1 0.94 1.14 .0127 1 0.94 1.12 .0128 1 0.94 1.27 .0129 1 0.94 1.27 .0130 1 0.94 1.24 .0131 1 0.94 1.31 .0132 1 0.94 1.32 .0133 1 0.94 1.23 .0134 1 0.94 1.35 .0135 2 0.94 1.26 .0136 2 0.94 1.32 .0137 2 0.94 1.34 .0138 2 0.94 1.27 .0139 1 0.94 1.28 .0140 1 0.94 1.35 .0141 1 0.94 1.51 .0142 1 0.94 1.63 .0143 1 0.94 2.33 .0144 1 0.94 2.85 .0145 1 0.94 2.84 .0146 1 0.94 3.01 .0147 1 0.94 3.30 .0148 2 0.94 3.24 .0149 1 0.94 3.30 .0150 1 0.94 3.07 .0151 1 0.94 2.73 .0152 2 0.94 2.84 .0153 1 0.94 2.32 .0154 1 0.94 2.19 .0155 1 0.94 2.12 .0156 1 0.94 1.81 .0157 1 0.94 2.53 .0158 1 0.94 3.75 .0159 1 0.94 4.21 .0160 1 0.94 5.54 .0161 2 0.94 5.31 .0162 1 0.94 6.31 .0163 1 0.94 5.32 .0164 1 0.94 5.86 .0165 2 0.94 4.96 .0166 2 0.94 4.52 .0167 2 0.94 4.11 .0168 1 0.94 4.64 .0169 1 0.94 4.07 .0170 1 0.94 4.06 .0171 1 0.94 4.16 .0172 1 0.94 5.06 .0173 2 0.94 5.65 .0174 2 0.94 6.52 .0175 2 0.94 6.60 .0176 2 0.94 6.08 .0177 1 0.94 6.17 .0178 1 0.94 6.05 .0179 1 0.94 5.72 .0180 2 0.94 6.03 .0181 2 0.94 7.36 .0182 1 0.94 6.63 .0183 1 0.94 5.66 .0184 1 0.94 5.50 .0185 1 0.94 5.21 .0186 1 0.94 4.60 .0187 1 0.94 5.17 .0188 1 0.94 6.35 .0189 2 0.94 8.15 .0190 1 0.94 9.10 .0191 1 0.94 10.23 .0192 1 0.94 9.69 .0193 1 0.94 9.91 .0194 1 0.94 9.73 .0195 1 0.94 10.83 .0196 1 0.94 11.56 .0197 1 0.94 6.79 .0198 1 0.94 6.37 .0199 1 0.94 7.09 .0200 1 0.94 3.46 .0201 1 0.94 3.34 .0202 2 0.94 3.53 .0203 1 0.94 5.22 .0204 1 0.94 5.53 .0205 1 0.94 6.09 .0206 1 0.94 6.53 .0207 1 0.94 7.22 .0208 1 0.94 6.78 .0209 1 0.94 7.36 .0210 1 0.94 6.79 .0211 1 0.94 7.14 .0212 1 0.94 7.56 .0213 1 0.94 7.31 .0214 1 0.94 7.57 .0215 1 0.94 7.38 .0216 1 0.94 8.00 .0217 1 0.94 8.47 .0218 1 0.94 9.50 .0219 1 0.94 11.28 .0220 1 0.94 10.60 .0221 1 0.94 10.22 .0222 1 0.94 9.59 .0223 1 0.94 9.47 .0224 1 0.94 8.78 .0225 1 0.94 9.33 .0226 1 0.94 11.88 .0227 1 0.94 11.85 .0228 1 0.94 7.57 .0229 1 0.94 6.49 .0230 1 0.94 8.27 .0231 2 0.94 3.20 .0232 1 0.94 3.27 .0233 1 0.94 3.45 .0234 1 0.94 3.22 .0235 1 0.94 3.01 .0236 1 0.94 2.81 .0237 1 0.94 2.65 .0238 1 0.94 2.94 .0239 1 0.94 3.35 .0240 1 0.94 4.41 .0241 1 0.94 3.45 .0242 1 0.94 3.32 .0243 1 0.94 3.22 .0244 1 0.94 2.32 .0245 1 0.94 2.07 .0246 1 0.94 1.63 .0247 1 0.94 1.62 .0248 1 0.94 1.60 .0249 1 0.94 1.44 .0250 1 0.94 1.42 .0251 1 0.94 1.41 .0252 2 0.94 1.63 .0253 1 0.94 1.78 .0254 1 0.94 1.71 .0255 1 0.94 1.73 .0256 2 0.94 2.12 .0257 2 0.94 1.92 .0258 2 0.94 1.94 .0259 3 0.94 1.91 .0260 6 0.94 2.24 .0261 1 0.94 2.04 .0262 1 0.94 2.03 .0263 1 0.94 2.06 .0264 2 0.94 2.05 .0265 5 0.94 2.11 .0266 1 0.94 2.24 .0267 1 0.94 2.34 .0268 1 0.94 2.59 .0269 1 0.94 2.68 .0270 1 0.94 3.11 .0271 1 0.94 4.11 .0272 1 0.94 4.93 .0273 1 0.94 5.01 .0274 1 0.94 5.70 .0275 1 0.94 6.62 .0276 1 0.94 5.67 .0277 1 0.94 5.44 .0278 1 0.94 4.51 .0279 1 0.94 3.55 .0280 2 0.94 3.43 .0281 3 0.94 2.94 .0282 2 0.94 2.63 .0283 1 0.94 2.63 .0284 1 0.94 3.03 .0285 2 0.94 3.65 .0286 4 0.94 4.64 .0287 2 0.94 4.35 .0288 1 0.94 3.97 .0289 1 0.94 4.21 .0290 1 0.94 4.48 .0291 1 0.94 4.50 .0292 2 0.94 4.63 .0293 2 0.94 4.66 .0294 2 0.94 4.42 .0295 1 0.94 5.60 .0296 1 0.94 5.86 .0297 1 0.94 6.16 .0298 1 0.94 6.69 .0299 1 0.94 7.65 .0300 1 0.94 7.90 .0301 1 0.94 7.76 .0302 1 0.94 7.23 .0303 1 0.94 6.23 .0304 1 0.94 6.21 .0305 1 0.94 6.06 .0306 1 0.94 6.63 .0307 1 0.94 9.33 .0308 1 0.94 6.65 .0309 1 0.94 5.41 .0310 1 0.94 4.78 .0311 1 0.94 3.36 .0312 1 0.94 2.09 .0313 1 0.94 2.05 .0314 1 0.94 2.61 .0315 1 0.94 3.99 .0316 1 0.94 5.02 .0317 1 0.94 5.91 .0318 1 0.94 6.99 .0319 1 0.94 7.97 .0320 1 0.94 6.95 .0321 1 0.94 6.96 .0322 1 0.94 6.36 .0323 1 0.94 5.40 .0324 1 0.94 5.53 .0325 1 0.94 5.27 .0326 1 0.94 4.96 .0327 1 0.94 4.38 .0328 1 0.94 4.69 .0329 1 0.94 5.54 .0330 1 0.94 5.86 .0331 1 0.94 6.24 .0332 1 0.94 6.91 .0333 1 0.94 6.55 .0334 1 0.94 6.76 .0335 1 0.94 6.36 .0336 2 0.94 5.51 .0337 2 0.94 6.05 .0338 2 0.94 5.79 .0339 2 0.94 6.66 .0340 1 0.94 7.42 .0341 1 0.94 7.32 .0342 1 0.94 7.82 .0343 1 0.94 8.93 .0344 1 0.94 8.53 .0345 1 0.94 9.00 .0346 1 0.94 9.15 .0347 1 0.94 10.05 .0348 1 0.94 11.38 .0349 1 0.94 11.71 .0350 1 0.94 13.90 .0351 1 0.94 16.63 .0352 1 0.94 11.70 .0353 1 0.94 11.86 .0354 1 0.94 9.37 .0355 1 0.94 6.36 .0356 1 0.94 5.53 .0357 1 0.94 4.96 .0358 1 0.94 6.40 .0359 1 0.94 11.22 .0360 1 0.94 17.47 .0361 1 0.94 20.31 .0362 1 0.94 22.71 .0363 1 0.94 25.54 .0364 1 0.94 26.38 .0365 1 0.94 25.17 .0366 1 0.94 22.98 .0367 1 0.94 19.56 .0368 2 0.94 19.36 .0369 2 0.94 19.90 .0370 2 0.94 17.89 .0371 2 0.94 17.65 .0372 1 0.94 20.20 .0373 1 0.94 23.33 .0374 1 0.94 25.71 .0375 1 0.94 26.65 .0376 1 0.94 27.23 .0377 1 0.94 27.06 .0378 1 0.94 26.27 .0379 1 0.94 24.82 .0380 2 0.94 25.62 .0381 2 0.94 29.86 .0382 3 0.94 30.61 .0383 2 0.94 31.77 .0384 1 0.94 33.32 .0385 1 0.94 30.62 .0386 1 0.94 35.18 .0387 1 0.94 35.28 .0388 1 0.94 32.57 .0389 1 0.94 34.24 .0390 1 0.94 30.04 .0391 1 0.94 27.94 .0392 1 0.94 28.30 .0393 1 0.94 28.43 .0394 1 0.94 33.63 .0395 1 0.94 33.84 .0396 1 0.94 19.10 .0397 1 0.94 17.31 .0398 1 0.94 21.77 .0399 1 0.94 5.63 .0400 1 0.94 4.41 .0401 1 0.94 3.50 .0402 1 0.93 2.93 .0403 1 0.93 2.49 .0404 1 0.93 2.25 .0405 2 0.93 1.45 .0406 2 0.93 1.37 .0407 2 0.93 1.65 .0408 2 0.93 1.48 .0409 1 0.93 1.33 .0410 1 0.93 1.41 .0411 1 0.93 1.31 .0412 1 0.93 1.40 .0413 1 0.93 1.26 .0414 1 0.93 1.40 .0415 1 0.93 1.29 .0416 1 0.93 1.32 .0417 1 0.93 1.32 .0418 1 0.93 1.35 .0419 1 0.93 1.31 .0420 1 0.93 1.21 .0421 1 0.93 1.28 .0422 1 0.93 1.17 .0423 1 0.93 1.12 .0424 1 0.93 1.24 .0425 1 0.93 1.66 .0426 1 0.93 3.44 .0427 1 0.93 6.13 .0428 1 0.93 7.23 .0429 1 0.93 8.35 .0430 1 0.93 9.43 .0431 1 0.93 9.28 .0432 1 0.93 9.18 .0433 1 0.93 8.60 .0434 1 0.93 7.03 .0435 1 0.93 6.89 .0436 1 0.93 6.28 .0437 1 0.93 4.98 .0438 1 0.93 5.24 .0439 1 0.93 6.28 .0440 1 0.93 7.77 .0441 1 0.93 8.07 .0442 1 0.93 8.51 .0443 1 0.93 9.11 .0444 1 0.93 10.07 .0445 1 0.93 10.46 .0446 1 0.93 9.44 .0447 2 0.93 10.56 .0448 2 0.93 11.05 .0449 2 0.93 12.25 .0450 2 0.93 12.46 .0451 1 0.93 13.49 .0452 1 0.93 13.23 .0453 1 0.93 15.11 .0454 1 0.93 15.02 .0455 1 0.93 17.00 .0456 1 0.93 16.58 .0457 1 0.93 14.19 .0458 1 0.93 11.88 .0459 1 0.93 12.43 .0460 1 0.93 13.25 .0461 1 0.93 17.30 .0462 1 0.93 10.42 .0463 1 0.93 10.29 .0464 1 0.93 10.08 .0465 2 0.93 4.37 .0466 2 0.93 3.32 .0467 2 0.93 3.33 .0468 1 0.93 3.40 .0469 1 0.93 3.65 .0470 1 0.93 4.06 .0471 1 0.93 3.99 .0472 1 0.93 3.93 .0473 1 0.93 3.74 .0474 1 0.93 3.72 .0475 1 0.93 3.54 .0476 1 0.93 3.56 .0477 1 0.93 3.66 .0478 1 0.93 4.89 .0479 1 0.93 3.38 .0480 1 0.93 3.14 .0481 1 0.93 3.28 .0482 1 0.93 1.73 .0483 1 0.93 1.67 .0484 1 0.93 1.70 .0485 1 0.93 2.33 .0486 1 0.93 3.22 .0487 1 0.93 3.98 .0488 2 0.93 4.39 .0489 1 0.93 4.46 .0490 1 0.93 4.44 .0491 1 0.93 4.21 .0492 1 0.93 3.70 .0493 1 0.93 3.30 .0494 1 0.93 3.32 .0495 1 0.93 3.11 .0496 1 0.93 2.72 .0497 1 0.93 2.64 .0498 1 0.93 3.12 .0499 1 0.93 3.60 .0500 1 0.93 3.75 .0501 2 0.93 3.71 .0502 1 0.93 4.15 .0503 1 0.93 4.25 .0504 1 0.93 3.88 .0505 1 0.93 3.45 .0506 1 0.93 4.14 .0507 2 0.93 4.24 .0508 2 0.93 4.81 .0509 2 0.93 4.89 .0510 1 0.93 4.89 .0511 1 0.93 5.52 .0512 1 0.93 6.22 .0513 1 0.93 6.11 .0514 1 0.93 5.68 .0515 1 0.93 5.15 .0516 2 0.93 5.37 .0517 1 0.93 5.49 .0518 1 0.93 5.33 .0519 1 0.93 6.24 .0520 1 0.93 5.50 .0521 1 0.93 4.92 .0522 1 0.93 2.98 .0523 1 0.93 2.93 .0524 1 0.93 1.32 .0525 1 0.93 1.26 .0526 1 0.93 1.24 .0527 1 0.93 1.17 .0528 1 0.93 1.17 .0529 1 0.93 1.12 .0530 1 0.93 1.01 .0531 1 0.93 1.12 .0532 1 0.93 1.08 .0533 1 0.93 1.25 .0534 1 0.93 1.25 .0535 1 0.93 2.24 .0536 1 0.93 4.07 .0537 1 0.93 6.31 .0538 2 0.93 6.56 .0539 1 0.93 7.67 .0540 1 0.93 7.48 .0541 1 0.93 7.18 .0542 1 0.93 6.48 .0543 1 0.93 5.41 .0544 1 0.93 5.43 .0545 1 0.93 5.11 .0546 1 0.93 4.18 .0547 1 0.93 4.55 .0548 1 0.93 5.12 .0549 1 0.93 6.04 .0550 1 0.93 6.59 .0551 1 0.93 6.61 .0552 1 0.93 7.14 .0553 1 0.93 7.45 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12.74 .0775 1 0.91 13.04 .0776 1 0.91 14.18 .0777 1 0.91 16.63 .0778 1 0.91 17.13 .0779 1 0.91 19.92 .0780 1 0.91 22.61 .0781 1 0.91 24.00 .0782 1 0.91 21.16 .0783 1 0.91 18.52 .0784 1 0.91 16.27 .0785 1 0.91 15.67 .0786 1 0.91 17.01 .0787 1 0.91 21.04 .0788 1 0.91 13.67 .0789 1 0.91 12.65 .0790 1 0.91 9.92 .0791 1 0.91 4.77 .0792 1 0.91 2.97 .0793 1 0.91 2.60 .0794 1 0.91 2.14 .0795 1 0.91 1.88 .0796 1 0.91 1.66 .0797 1 0.91 1.56 .0798 1 0.91 1.37 .0799 1 0.91 1.40 .0800 1 0.91 1.34 .0801 1 0.91 1.37 .0802 1 0.91 1.28 .0803 1 0.91 1.22 .0804 1 0.91 1.26 .0805 1 0.91 1.27 .0806 1 0.91 1.38 .0807 1 0.91 1.29 .0808 1 0.91 1.28 .0809 1 0.91 1.34 .0810 2 0.91 1.20 .0811 1 0.91 1.27 .0812 1 0.91 1.26 .0813 1 0.91 1.16 .0814 1 0.91 1.22 .0815 1 0.91 1.15 .0816 1 0.91 1.16 .0817 1 0.91 1.16 .0818 1 0.91 1.09 .0819 1 0.91 1.06 .0820 2 0.91 1.26 .0821 1 0.91 1.19 .0822 1 0.91 1.16 .0823 1 0.91 1.21 .0824 1 0.91 1.14 .0825 1 0.91 1.11 .0826 1 0.91 1.13 .0827 1 0.91 1.17 .0828 2 0.91 1.14 .0829 1 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0.92 1.24 .1829 1 0.92 1.36 .1830 1 0.92 1.17 .1831 1 0.92 1.27 .1832 1 0.92 1.36 .1833 1 0.92 1.32 .1834 1 0.92 1.31 .1835 1 0.92 1.22 .1836 1 0.92 1.29 .1837 1 0.92 1.30 .1838 1 0.92 1.27 .1839 1 0.92 1.32 .1840 1 0.92 1.47 .1841 1 0.92 1.24 .1842 1 0.92 1.30 .1843 1 0.92 1.19 .1844 1 0.92 1.39 .1845 1 0.92 1.33 .1846 1 0.92 1.20 .1847 1 0.92 1.30 .1848 1 0.92 1.21 .1849 1 0.92 1.20 .1850 1 0.92 1.13 .1851 1 0.92 1.20 .1852 1 0.92 1.21 .1853 1 0.92 1.22 .1854 1 0.92 1.23 .1855 1 0.92 1.19 .1856 1 0.92 1.24 .1857 1 0.92 1.20 .1858 1 0.92 1.20 .1859 1 0.92 1.28 .1860 1 0.92 1.18 .1861 1 0.92 1.28 .1862 1 0.92 1.21 .1863 1 0.92 1.17 .1864 1 0.92 1.21 .1865 1 0.92 1.26 .1866 1 0.92 1.22 .1867 1 0.92 1.27 .1868 3 0.92 1.24 .1869 1 0.92 1.17 .1870 1 0.92 1.21 .1871 1 0.92 1.23 .1872 1 0.92 1.27 .1873 1 0.92 1.25 .1874 1 0.92 1.21 .1875 1 0.92 1.31 .1876 1 0.92 1.24 .1877 1 0.92 1.21 .1878 1 0.92 1.25 .1879 1 0.92 1.22 .1880 1 0.92 1.27 .1881 1 0.92 1.23 .1882 1 0.92 1.27 .1883 1 0.92 1.20 .1884 2 0.92 1.28 .1885 1 0.92 1.32 .1886 1 0.92 1.27 .1887 1 0.92 1.22 .1888 1 0.92 1.17 .1889 1 0.92 1.21 .1890 1 0.92 1.23 .1891 2 0.92 1.20 .1892 1 0.92 1.30 .1893 1 0.92 1.19 .1894 1 0.92 1.21 .1895 1 0.92 1.23 .1896 1 0.92 1.24 .1897 1 0.92 1.17 .1898 1 0.92 1.20 .1899 1 0.92 1.19 .1900 2 0.92 1.28 .1901 1 0.92 1.17 .1902 1 0.92 1.16 .1903 1 0.92 1.17 .1904 1 0.92 1.19 .1905 1 0.92 1.28 .1906 1 0.92 1.27 .1907 1 0.92 1.17 .1908 1 0.92 1.24 .1909 1 0.92 1.20 .1910 2 0.92 1.22 .1911 1 0.92 1.19 .1912 1 0.92 1.15 .1913 1 0.92 1.33 .1914 1 0.92 1.20 .1915 1 0.92 1.17 .1916 1 0.92 1.28 .1917 1 0.92 1.36 .1918 1 0.92 1.12 .1919 1 0.92 1.19 .1920 1 0.92 1.17 .1921 1 0.92 1.22 .1922 1 0.92 1.15 .1923 1 0.92 1.27 .1924 1 0.92 1.23 .1925 1 0.92 1.23 .1926 1 0.92 1.17 .1927 2 0.92 1.22 .1928 1 0.92 1.20 .1929 1 0.92 1.13 .1930 1 0.92 1.22 .1931 1 0.92 1.28 .1932 1 0.92 1.26 .1933 1 0.92 1.28 .1934 1 0.92 1.22 .1935 1 0.92 1.15 .1936 2 0.92 1.49 .1937 1 0.92 1.25 .1938 1 0.92 1.28 .1939 1 0.92 1.27 .1940 1 0.92 1.08 .1941 1 0.92 1.18 .1942 1 0.92 1.13 .1943 1 0.92 1.10 .1944 1 0.92 1.18 .1945 1 0.92 1.15 .1946 1 0.92 1.23 .1947 1 0.92 1.25 .1948 1 0.92 1.20 .1949 1 0.92 1.21 .1950 1 0.92 1.33 .1951 2 0.92 1.20 .1952 1 0.92 1.17 .1953 1 0.92 1.18 .1954 1 0.92 1.19 .1955 1 0.92 1.18 .1956 1 0.92 1.23 .1957 2 0.92 1.24 .1958 2 0.92 1.30 .1959 1 0.92 1.26 .1960 1 0.92 1.30 .1961 2 0.92 1.24 .1962 1 0.92 1.20 .1963 1 0.92 1.22 .1964 1 0.92 1.26 .1965 1 0.92 1.21 .1966 1 0.92 1.30 .1967 1 0.92 1.27 .1968 1 0.92 1.26 .1969 1 0.92 1.21 .1970 1 0.92 1.14 .1971 1 0.92 1.24 .1972 1 0.92 1.25 .1973 1 0.92 1.22 .1974 1 0.92 1.27 .1975 1 0.92 1.21 .1976 1 0.92 1.31 .1977 1 0.92 1.21 .1978 1 0.92 1.21 .1979 1 0.92 1.24 .1980 1 0.92 1.21 .1981 1 0.92 1.13 .1982 1 0.92 1.28 .1983 1 0.92 1.12 .1984 1 0.92 1.20 .1985 1 0.92 1.25 .1986 1 0.92 1.21 .1987 1 0.92 1.26 .1988 1 0.92 1.17 .1989 1 0.92 1.20 .1990 1 0.92 1.32 .1991 1 0.92 1.23 .1992 1 0.92 1.27 .1993 1 0.92 1.22 .1994 1 0.92 1.29 .1995 2 0.92 1.28 .1996 1 0.92 1.35 .1997 2 0.92 1.14 .1998 2 0.92 1.15 .1999 1 0.92 1.17 .2000 2 0.92 1.23 .2001 1 0.92 1.21 .2002 1 0.92 1.23 .2003 1 0.92 1.21 .2004 1 0.92 1.23 .2005 1 0.92 1.24 .2006 1 0.92 1.25 .2007 1 0.92 1.26 .2008 1 0.92 1.26 .2009 1 0.92 1.22 .2010 1 0.92 1.26 .2011 1 0.92 1.18 .2012 1 0.92 1.27 .2013 2 0.92 1.22 .2014 2 0.92 1.25 .2015 1 0.92 1.24 .2016 1 0.92 1.28 .2017 1 0.92 1.19 .2018 1 0.92 1.17 .2019 1 0.92 1.24 .2020 1 0.92 1.27 .2021 1 0.92 1.21 .2022 1 0.92 1.17 .2023 1 0.92 1.21 .2024 1 0.92 1.18 .2025 1 0.92 1.27 .2026 1 0.92 1.27 .2027 1 0.92 1.23 .2028 1 0.92 1.28 .2029 1 0.92 1.18 .2030 1 0.92 1.20 .2031 1 0.92 1.23 .2032 1 0.92 1.19 .2033 1 0.92 1.14 .2034 1 0.92 1.18 .2035 1 0.92 1.22 .2036 1 0.92 1.22 .2037 1 0.92 1.37 .2038 1 0.92 1.22 .2039 1 0.92 1.23 .2040 1 0.92 1.16 .2041 1 0.92 1.33 .2042 1 0.92 1.51 .2043 1 0.92 1.20 .2044 1 0.92 1.27 .2045 1 0.92 1.20 .2046 1 0.92 1.25 .2047 1 0.92 1.22 EXTRACT_IMAGE: r2: masked 347 pixels SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r2: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r2: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Searching about coefficients = 3.86863 0.10078 -0.00438 -0.00022 ARCFIT_ITER: r2: Searching lags from -152 to 152 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Initial wavelength fit = 3.86863 0.10078 -0.00438 -0.00026 ARCFIT_GUESS: r2: Initial correlation = 0.758440 FITARCIMAGE_GLOBAL: r2: Best correlation = 0.758440 FITARCIMAGE_GLOBAL: r2: ASET = 3.86863 0.10078 -0.00438 -0.00026 SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Tracing 35 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Iterating flux-weighted centers . 0 320 0.128 . 1 320 0.124 . 2 320 0.126 . 3 320 0.122 . 4 320 0.124 . 5 320 0.131 . 6 320 0.117 . 7 320 0.119 . 8 320 0.124 . 9 320 0.126 . 10 320 0.119 . 11 320 0.119 . 12 320 0.116 . 13 320 0.118 . 14 320 0.126 . 15 320 0.128 . 16 320 0.119 . 17 320 0.135 . 18 320 0.122 . 19 320 0.119 . 20 320 0.120 . 21 320 0.135 . 22 320 0.125 . 23 320 0.123 . 24 320 0.119 . 25 320 0.124 . 26 320 0.129 . 27 320 0.122 . 28 320 0.128 . 29 320 0.125 . 30 320 0.115 . 31 320 0.122 . 32 320 0.127 . 33 320 0.132 . 34 320 0.124 . 35 320 0.124 . 36 320 0.132 . 37 320 0.122 . 38 320 0.123 . 39 320 0.128 . 40 320 0.134 . 41 320 0.144 . 42 320 0.130 . 43 320 0.131 . 44 320 0.124 . 45 320 0.138 . 46 320 0.136 . 47 320 0.138 . 48 320 0.123 . 49 320 0.141 . 50 320 0.158 . 51 320 0.135 . 52 320 0.139 . 53 320 0.130 . 54 320 0.107 . 55 320 0.124 . 56 320 0.132 . 57 320 0.130 . 58 320 0.134 . 59 320 0.132 . 60 320 0.141 . 61 320 0.134 . 62 320 0.131 . 63 320 0.125 . 64 320 0.130 . 65 320 0.123 . 66 320 0.138 . 67 320 0.147 . 68 320 0.152 . 69 320 0.131 . 70 320 0.119 . 71 320 0.130 . 72 320 0.133 . 73 320 0.139 . 74 320 0.146 . 75 320 0.134 . 76 320 0.139 . 77 320 0.136 . 78 320 0.135 . 79 320 0.139 . 80 320 0.133 . 81 320 0.132 . 82 320 0.128 . 83 320 0.128 . 84 320 0.127 . 85 320 0.140 . 86 320 0.137 . 87 320 0.143 . 88 320 0.141 . 89 320 0.134 . 90 320 0.132 . 91 320 0.131 . 92 320 0.131 . 93 320 0.140 . 94 320 0.137 . 95 320 0.134 . 96 320 0.141 . 97 320 0.139 . 98 320 0.126 . 99 320 0.131 . 100 320 0.129 . 101 320 0.139 . 102 320 0.138 . 103 320 0.130 . 104 320 0.137 . 105 320 0.142 . 106 320 0.134 . 107 320 0.132 . 108 320 0.130 . 109 320 0.132 . 110 320 0.131 . 111 320 0.128 . 112 320 0.132 . 113 320 0.130 . 114 320 0.129 . 115 320 0.123 . 116 320 0.127 . 117 320 0.129 . 118 320 0.127 . 119 320 0.135 . 120 320 0.135 . 121 320 0.136 . 122 320 0.133 . 123 320 0.128 . 124 320 0.132 . 125 320 0.130 . 126 320 0.126 . 127 320 0.133 . 128 320 0.132 . 129 320 0.123 . 130 320 0.127 . 131 320 0.127 . 132 320 0.145 . 133 320 0.134 . 134 320 0.144 . 135 320 0.140 . 136 320 0.144 . 137 320 0.131 . 138 320 0.129 . 139 320 0.130 . 140 320 0.127 . 141 320 0.129 . 142 320 0.133 . 143 320 0.137 . 144 320 0.150 . 145 320 0.146 . 146 320 0.135 . 147 320 0.140 . 148 320 0.134 . 149 320 0.130 . 150 320 0.129 . 151 320 0.129 . 152 320 0.132 . 153 320 0.133 . 154 320 0.131 . 155 320 0.135 . 156 320 0.148 . 157 320 0.147 . 158 320 0.140 . 159 320 0.147 . 160 320 0.135 . 161 320 0.139 . 162 320 0.143 . 163 320 0.140 . 164 320 0.138 . 165 320 0.128 . 166 320 0.125 . 167 320 0.136 . 168 320 0.128 . 169 320 0.121 . 170 320 0.128 . 171 320 0.136 . 172 320 0.135 . 173 320 0.149 . 174 320 0.147 . 175 320 0.143 . 176 320 0.145 . 177 320 0.148 . 178 320 0.139 . 179 320 0.143 . 180 320 0.136 . 181 320 0.139 . 182 320 0.136 . 183 320 0.138 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 184 29 299.27439 13.003278 33.038635 5.8297981 1281423.9 1 . 184 320 0.232 . 185 320 0.140 . 186 320 0.135 . 187 320 0.130 . 188 320 0.137 . 189 320 0.143 . 190 320 0.134 . 191 320 0.133 . 192 320 0.135 . 193 320 0.134 . 194 320 0.132 . 195 320 0.132 . 196 320 0.134 . 197 320 0.145 . 198 320 0.139 . 199 320 0.136 . 200 320 0.134 . 201 320 0.127 . 202 320 0.139 . 203 320 0.135 . 204 320 0.140 . 205 320 0.133 . 206 320 0.137 . 207 320 0.136 . 208 320 0.137 . 209 320 0.144 . 210 320 0.139 . 211 320 0.139 . 212 320 0.139 . 213 320 0.136 . 214 320 0.136 . 215 320 0.140 . 216 320 0.154 . 217 320 0.142 . 218 320 0.142 . 219 320 0.145 . 220 320 0.138 . 221 320 0.131 . 222 320 0.134 . 223 320 0.134 . 224 320 0.115 . 225 320 0.130 . 226 320 0.134 . 227 320 0.137 . 228 320 0.126 . 229 320 0.140 . 230 320 0.136 . 231 320 0.147 . 232 320 0.142 . 233 320 0.130 . 234 320 0.144 . 235 320 0.144 . 236 320 0.150 . 237 320 0.139 . 238 320 0.143 . 239 320 0.136 . 240 320 0.141 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -10.007950 2.4398931 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -6.8521980 2.4052433 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -13.300850 2.7132416 0.41948797 -0.0000000 8.9575903 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -18.411747 3.0296922 0.99875860 1.0679479 8.6116499 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -26.356481 2.6525919 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -32.290897 3.0271058 0.31992257 -0.0000000 10.133404 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 6 -20.763796 2.8538098 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -15.480061 2.5186157 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -19.130629 2.4383241 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -22.184632 3.1680879 0.38712792 -0.0000000 9.6779252 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -29.523774 2.6200026 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -34.872291 2.9526511 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -80.219432 4.6590323 0.43919894 -0.0000000 10.228662 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 13 27.160599 5.6772827 0.33962218 -0.0000000 11.502817 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -28.791154 3.7434642 2.0209744 -0.0000000 108.65433 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 15 -0.77651068 2.8105003 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 16 -23.948217 3.5846547 0.43482587 -0.0000000 7.4695083 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 17 -13.143025 3.7904698 0.66028969 -0.0000000 8.0109702 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 18 -21.603290 2.9141548 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 19 -9.4266298 2.9395602 0.30928293 -0.0000000 8.4198694 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 20 -20.043525 3.2899723 1.0032661 -0.0000000 11.694787 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 21 -11.583414 2.8011850 1.3500164 -0.0000000 8.7448287 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 22 -8.3520785 3.3283247 0.57173325 -0.0000000 6.9766633 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 23 -3.1873327 2.5176955 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 24 -1.8633754 3.1380324 0.91954181 1.1515299 9.1729939 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 25 -7.9928152 2.7982299 0.96291651 -0.0000000 8.7411356 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 26 -19.749256 3.1195398 0.59360379 -0.0000000 6.5669591 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 27 -9.3935503 2.9646569 0.44377284 -0.0000000 9.7573140 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 28 -24.271583 2.6963302 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 29 -16.897445 2.8241211 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 30 -18.402693 3.0635425 1.1980082 -0.0000000 9.8007146 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 31 -22.934933 2.7662051 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 32 -27.202860 3.9515893 1.1216866 1.2498733 8.5688541 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 33 -22.965785 3.7797744 1.2441648 -0.0000000 7.9811867 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 34 -16.125940 2.7562705 0.0000000 0.0000000 0.0000000 3 . 241 320 0.249 . 242 320 0.138 . 243 320 0.132 . 244 320 0.138 . 245 320 0.139 . 246 320 0.128 . 247 320 0.141 . 248 320 0.131 . 249 320 0.134 . 250 320 0.139 . 251 320 0.134 . 252 320 0.139 . 253 320 0.132 . 254 320 0.129 . 255 320 0.134 . 256 320 0.132 . 257 320 0.129 . 258 320 0.135 . 259 320 0.136 . 260 320 0.134 . 261 320 0.137 . 262 320 0.131 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 0 -13.441418 3.5228054 0.85138535 0.99390420 7.5107633 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -11.909989 2.6850457 0.34398786 -0.0000000 8.8339816 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -13.254442 3.2710022 0.72212973 -0.0000000 6.8117762 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -15.570010 3.2630231 0.52938036 0.59251665 7.6704256 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -29.485203 3.5700748 0.53707105 -0.0000000 7.2523412 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 5 -30.312759 3.5845550 0.48202042 -0.0000000 7.4409057 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 6 -19.625168 3.2954710 0.42223063 -0.0000000 9.3526093 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -16.898365 2.8949865 0.44713061 -0.0000000 9.3317378 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -16.690045 4.0732274 0.49614842 0.60781055 7.4597076 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -26.842467 3.7968313 0.57040843 -0.0000000 7.6398617 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -29.385912 2.6059299 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 11 -43.010262 0.27564965 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -46.869127 4.0602722 0.45332478 -0.0000000 11.919691 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 14 -32.282887 4.6202779 0.32534188 0.39526602 10.288658 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 16 -21.075328 0.28742437 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 17 -13.869966 3.7207116 0.84020864 -0.0000000 7.7214386 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 18 -10.120458 3.0140636 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 19 -11.458091 2.9659099 0.61569805 -0.0000000 8.9407778 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 20 -26.896709 4.2754679 0.46784204 0.54238651 7.8677450 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 21 -11.773259 2.7932948 0.73263013 -0.0000000 8.5452158 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 22 -12.115949 3.3871611 0.54882770 0.58729726 7.6421214 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 23 -8.5447116 2.7502378 0.99557079 -0.0000000 8.5448830 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 24 -7.2075939 2.6259170 0.71509858 -0.0000000 8.2479480 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 25 -5.8819813 2.7116567 0.84505894 -0.0000000 8.4636470 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 26 -6.9084330 2.8912206 0.57239110 -0.0000000 8.9813455 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 27 -9.1380843 3.9863866 2.0782067 2.4828748 7.7262795 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 28 -26.452502 3.1293183 0.78868752 -0.0000000 9.0446530 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 29 -21.400950 3.0016479 0.63754543 -0.0000000 9.6072066 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 30 -19.839263 4.6807581 2.5244129 3.2157430 7.6940630 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 31 -23.160427 3.7696669 1.4036119 -0.0000000 8.0008941 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 32 -20.870984 3.2048104 0.86659764 -0.0000000 9.3984032 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 33 -27.201484 2.6381454 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 34 -15.801546 3.0143096 1.7792357 -0.0000000 9.3313715 1 . 263 320 0.327 . 264 320 0.133 . 265 320 0.134 . 266 320 0.137 . 267 320 0.135 . 268 320 0.129 . 269 320 0.140 . 270 320 0.134 . 271 320 0.145 . 272 320 0.136 . 273 320 0.130 . 274 320 0.128 . 275 320 0.132 . 276 320 0.105 . 277 320 0.140 . 278 320 0.137 . 279 320 0.131 . 280 320 0.128 . 281 320 0.136 . 282 320 0.128 . 283 320 0.138 . 284 320 0.133 . 285 320 0.128 . 286 320 0.128 . 287 320 0.129 . 288 320 0.133 . 289 320 0.141 . 290 320 0.126 . 291 320 0.120 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -8.6790108 2.3904415 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -11.555695 3.9358655 0.43901355 0.55371407 7.2323861 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -11.652864 3.3107339 0.74912193 -0.0000000 6.8978410 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -12.875046 2.3872597 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -20.923357 3.4786086 0.46474455 0.52939938 7.7191441 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -34.941860 3.4969661 0.68065956 -0.0000000 7.2877652 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -35.501444 3.7362445 0.30769323 -0.0000000 7.5665948 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -38.797155 2.8555920 0.32033255 -0.0000000 8.6973526 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 8 -9.4636008 2.8790021 0.64638687 -0.0000000 9.0902407 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -30.981851 3.5257009 0.48845023 -0.0000000 7.0708677 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -30.945953 2.8879143 0.60294351 -0.0000000 9.3097163 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 11 -39.218803 0.27036409 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -41.957716 4.7881495 0.37021224 -0.0000000 9.4249174 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 13 -51.365562 0.23134110 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 15 -30.479452 3.0947376 0.40610750 -0.0000000 9.5153304 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 16 -18.961771 2.7168947 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 17 -21.919136 3.0509893 0.35594017 -0.0000000 9.4667616 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 18 -28.382943 3.9259551 0.38921634 -0.0000000 7.8110935 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 19 -19.376180 2.8324353 1.2042053 -0.0000000 8.3539652 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 20 -19.637690 4.0864551 0.79158917 0.92163180 8.2175255 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 21 -21.304122 2.6862451 0.33620330 -0.0000000 8.6850742 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 22 -10.365598 2.7807202 0.65064452 -0.0000000 7.8720540 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 23 -13.349221 3.3234103 0.72585468 -0.0000000 6.8825942 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 24 -9.9285113 3.3111943 1.1750370 -0.0000000 6.8469927 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 25 -10.170221 2.7661358 0.77612786 -0.0000000 8.5580446 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 26 -22.741357 3.3023583 0.89657678 -0.0000000 6.9716027 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 27 -13.039928 2.5568340 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 28 -30.854705 2.6538867 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 29 -21.259982 2.7542410 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 30 -27.665971 2.9887905 0.43204803 -0.0000000 9.7297096 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 31 -33.796802 2.9629501 0.57444311 -0.0000000 9.8836796 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 32 -24.723993 2.7342495 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 33 -26.983372 3.7526801 0.52174012 -0.0000000 7.8370628 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 34 -28.745516 2.6265510 0.0000000 0.0000000 0.0000000 3 . 292 320 0.267 . 293 320 0.131 . 294 320 0.131 . 295 320 0.137 . 296 320 0.139 . 297 320 0.126 . 298 320 0.128 . 299 320 0.130 . 300 320 0.131 . 301 320 0.133 . 302 320 0.127 . 303 320 0.137 . 304 320 0.125 . 305 320 0.132 . 306 320 0.127 . 307 320 0.134 . 308 320 0.136 . 309 320 0.131 . 310 320 0.128 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -12.753081 2.5634660 0.67755461 -0.0000000 7.8335095 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -15.057828 2.3284846 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -14.968170 2.5381870 0.43351128 -0.0000000 7.5968074 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -9.3688419 3.2646989 1.6838885 -0.0000000 6.5543580 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -24.168586 3.2238235 0.61273740 -0.0000000 6.4466815 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -45.320220 2.4349292 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -35.306764 3.3831045 0.56828259 -0.0000000 6.8624475 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -59.739432 2.4073858 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -19.067682 2.3788378 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -32.718677 3.4044843 0.32962018 -0.0000000 7.1952146 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -39.329976 3.3384411 0.63519494 -0.0000000 7.0438480 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -33.650646 2.7872003 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -42.327991 3.0775121 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -86.890080 3.3798230 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -50.970247 3.9087209 0.40323979 -0.0000000 7.7912455 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 15 -58.928985 3.5881885 0.52642153 -0.0000000 7.4044745 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 16 -26.986854 3.1549413 0.81329383 0.68383199 8.9238624 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 17 -33.819132 2.5691134 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 18 -34.544588 3.0062419 0.43791177 -0.0000000 9.4725962 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 19 -24.657843 3.0480126 1.0545231 -0.0000000 7.6350049 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 20 -25.220574 2.6017974 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 21 -20.819378 2.4355931 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 22 -15.286275 2.6476059 0.44533186 -0.0000000 8.4339230 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 23 -15.782112 3.3642201 1.6199023 -0.0000000 6.6622985 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 24 -17.419352 2.6941819 0.87787466 -0.0000000 8.1531732 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 25 -18.987732 3.9030825 0.84446296 1.0329751 7.3909058 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 26 -19.739438 2.4742660 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 27 -25.032659 2.8697702 0.62959404 -0.0000000 8.7332584 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 28 -39.169449 2.6969908 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 29 -32.922489 2.9569151 0.61960902 -0.0000000 9.2432966 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 30 -26.003752 2.6100763 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 31 -31.761960 3.0430650 1.6740486 -0.0000000 8.6782887 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 32 -34.428184 2.6542614 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 33 -35.537868 2.9770121 0.73817512 -0.0000000 9.7162688 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 34 -36.604283 3.2975483 0.40486144 0.42160375 8.8716641 1 . 311 320 0.231 . 312 320 0.134 . 313 320 0.130 . 314 320 0.129 . 315 320 0.140 . 316 320 0.129 . 317 320 0.137 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 318 34 144.68519 0.20777780 . 318 320 0.112 . 319 320 0.076 FITARCIMAGE_GLOBAL: r2: Discarding trace 0, at 5852.4880 with 41 centroids too close to an edge FITARCIMAGE_GLOBAL: r2: Line 1, at 5881.8950 Ang: ERR= 0.00974690 ERR_RMS= 0.000646882 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 2, at 5944.8340 Ang: ERR= 0.00693869 ERR_RMS= 0.000432473 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 3, at 6029.9970 Ang: ERR= 0.0114053 ERR_RMS= 0.000696917 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 4, at 6074.3380 Ang: ERR= 0.00555286 ERR_RMS= 0.000318179 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 5, at 6096.1630 Ang: ERR= 0.00462683 ERR_RMS= 0.000246737 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 6, at 6143.0630 Ang: ERR= 0.00367581 ERR_RMS= 0.000172821 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 7, at 6163.5940 Ang: ERR= 0.00668239 ERR_RMS= 0.000369442 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 8, at 6217.2810 Ang: ERR= 0.00767612 ERR_RMS= 0.000413821 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 9, at 6266.4950 Ang: ERR= 0.00432397 ERR_RMS= 0.000206272 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 10, at 6304.7890 Ang: ERR= 0.00748263 ERR_RMS= 0.000410183 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 11, at 6334.4280 Ang: ERR= 0.00381644 ERR_RMS= 0.0214174 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 12, at 6382.9920 Ang: ERR= 0.00357938 ERR_RMS= 0.000160216 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 13, at 6402.2460 Ang: ERR= 0.00231242 ERR_RMS= 0.0169065 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 14, at 6506.5280 Ang: ERR= 0.00314188 ERR_RMS= 0.0108698 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 15, at 6532.8820 Ang: ERR= 0.00606760 ERR_RMS= 0.00786036 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 16, at 6598.9530 Ang: ERR= 0.00469313 ERR_RMS= 0.0159066 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 17, at 6717.0430 Ang: ERR= 0.00451376 ERR_RMS= 0.000222089 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 18, at 6929.4670 Ang: ERR= 0.00383466 ERR_RMS= 0.000175403 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 19, at 7173.9380 Ang: ERR= 0.00865404 ERR_RMS= 0.000478051 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 20, at 7245.1670 Ang: ERR= 0.00416637 ERR_RMS= 0.000184975 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 21, at 7438.9000 Ang: ERR= 0.00798095 ERR_RMS= 0.000392332 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 22, at 7488.8710 Ang: ERR= 0.0150342 ERR_RMS= 0.00125016 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 23, at 7535.7740 Ang: ERR= 0.0176429 ERR_RMS= 0.00104736 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 24, at 7635.1060 Ang: ERR= 0.0320300 ERR_RMS= 0.00225945 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 25, at 8014.7860 Ang: ERR= 0.0820690 ERR_RMS= 0.0114932 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 26, at 8103.6930 Ang: ERR= 0.0601727 ERR_RMS= 0.00626865 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 27, at 8300.3260 Ang: ERR= 0.0247156 ERR_RMS= 0.00175339 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 28, at 8377.6065 Ang: ERR= 0.00943903 ERR_RMS= 0.00806315 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 29, at 8495.3598 Ang: ERR= 0.0135740 ERR_RMS= 0.000892345 pix, 8 masked. FITARCIMAGE_GLOBAL: r2: Line 30, at 8591.2583 Ang: ERR= 0.0259985 ERR_RMS= 0.00204469 pix, 8 masked. FITARCIMAGE_GLOBAL: r2: Line 31, at 8634.6470 Ang: ERR= 0.0284004 ERR_RMS= 0.00216829 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 32, at 8654.3831 Ang: ERR= 0.0176872 ERR_RMS= 0.00123334 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 33, at 8853.8670 Ang: ERR= 0.0396522 ERR_RMS= 0.00381896 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 34, at 9122.9674 Ang: ERR= 0.0944411 ERR_RMS= 0.0175150 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Number of good arc lines: 34 FITARCIMAGE_GLOBAL: r2: Number of arclines = 34 TRACE# NPOINTS NREJECT 0 34 1 1 34 0 2 34 0 3 34 0 4 34 0 5 34 1 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 1 41 34 0 42 34 0 43 34 0 44 34 0 45 34 1 46 34 1 47 34 0 48 34 0 49 34 0 50 34 0 51 34 1 52 34 0 53 34 0 54 34 6 55 34 3 56 34 1 57 34 1 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 1 65 34 1 66 34 0 67 34 0 68 34 1 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 1 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 1 98 34 0 99 34 0 100 34 0 101 34 1 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 1 137 34 0 138 34 0 139 34 0 140 34 0 141 34 1 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 1 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 1 167 34 0 168 34 0 169 34 2 170 34 0 171 34 1 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 1 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 6 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 1 204 34 1 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 1 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 1 223 34 1 224 34 7 225 34 0 226 34 0 227 34 0 228 34 3 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 1 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 34 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 1 261 34 0 262 34 0 263 34 30 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 1 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 9 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 1 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 31 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 34 312 34 0 313 34 0 314 34 0 315 34 0 316 34 1 317 34 0 318 34 4 319 34 15 XY2TRACESET: r2: Total rejected = 214 Pass 1 complete FITARCIMAGE_GLOBAL: r2: Number of arclines after bundle test = 34 FITARCLINES: r2: ncoeffs (x,y): 4 5 FITARCLINES: r2: errored out 2 fibers: 241 311 FITARCLINES: r2: fit rchi2: 0.061192780 FITARCLINES: r2: offset stddev: 320 2.8404307e-13 FITARCLINES: r2: scale stddev: 320 6.9013858e-13 FITARCLINES: r2: poly x,y,stddev: 0 0 5.8521878e-07 FITARCLINES: r2: poly x,y,stddev: 1 0 1.7714450e-06 FITARCLINES: r2: poly x,y,stddev: 2 0 1.4137354e-06 FITARCLINES: r2: poly x,y,stddev: 3 0 2.8511305e-06 FITARCLINES: r2: poly x,y,stddev: 0 1 4.1357525e-07 FITARCLINES: r2: poly x,y,stddev: 1 1 1.2556894e-06 FITARCLINES: r2: poly x,y,stddev: 2 1 1.0044219e-06 FITARCLINES: r2: poly x,y,stddev: 3 1 2.0235210e-06 FITARCLINES: r2: poly x,y,stddev: 0 2 2.7294526e-07 FITARCLINES: r2: poly x,y,stddev: 1 2 8.1475603e-07 FITARCLINES: r2: poly x,y,stddev: 2 2 6.4132287e-07 FITARCLINES: r2: poly x,y,stddev: 3 2 1.2943733e-06 FITARCLINES: r2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: r2: IVAR=0 centroids masked: 187 Final arcfit complete FITARCIMAGE_GLOBAL: r2: Time 85. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 3 1.00 6.84 .0001 3 1.00 6.83 .0002 2 1.00 8.46 .0003 2 1.00 7.69 .0004 3 1.00 7.82 .0005 3 1.00 7.63 .0006 2 1.00 7.67 .0007 2 1.00 7.96 .0008 2 1.00 7.57 .0009 3 1.00 8.14 .0010 3 1.00 7.90 .0011 4 1.00 6.60 .0012 2 1.00 7.58 .0013 2 1.00 8.29 .0014 2 1.00 8.34 .0015 3 1.00 6.61 .0016 3 1.00 7.67 .0017 2 1.00 8.29 .0018 2 1.00 7.79 .0019 3 1.00 5.91 .0020 3 1.00 7.56 .0021 4 1.00 7.23 .0022 3 1.00 8.25 .0023 3 1.00 8.02 .0024 3 1.00 7.07 .0025 3 1.00 7.91 .0026 2 1.00 8.44 .0027 3 1.00 8.24 .0028 3 1.00 7.15 .0029 2 1.00 8.76 .0030 2 1.00 8.10 .0031 3 1.00 7.41 .0032 4 1.00 7.82 .0033 3 1.00 8.05 .0034 3 1.00 7.73 .0035 2 1.00 8.11 .0036 2 1.00 8.97 .0037 2 1.00 9.04 .0038 3 1.00 6.61 .0039 4 1.00 7.40 .0040 2 1.00 9.00 .0041 2 1.00 8.47 .0042 2 1.00 7.94 .0043 1 1.00 10.50 .0044 3 1.00 7.73 .0045 4 1.00 7.18 .0046 4 1.00 6.06 .0047 2 1.00 9.99 .0048 3 1.00 7.19 .0049 2 1.00 10.56 .0050 2 1.00 9.74 .0051 2 1.00 9.82 .0052 3 1.00 9.97 .0053 2 1.00 9.20 .0054 2 1.00 6.94 .0055 3 1.00 7.52 .0056 2 1.00 9.68 .0057 1 1.00 9.97 .0058 2 1.00 8.53 .0059 3 1.00 7.88 .0060 3 1.00 7.07 .0061 2 1.00 7.38 .0062 2 1.00 7.71 .0063 2 1.00 8.33 .0064 3 1.00 7.81 .0065 4 1.00 6.60 .0066 3 1.00 8.61 .0067 2 1.00 7.81 .0068 2 1.00 6.75 .0069 2 1.00 6.83 .0070 3 1.00 7.09 .0071 3 1.00 7.90 .0072 3 1.00 7.79 .0073 3 1.00 7.97 .0074 2 1.00 8.26 .0075 2 1.00 8.34 .0076 2 1.00 9.84 .0077 3 1.00 8.85 .0078 3 1.00 7.87 .0079 3 1.00 7.95 .0080 2 1.00 7.76 .0081 3 1.00 8.09 .0082 2 1.00 7.30 .0083 3 1.00 7.23 .0084 3 1.00 5.99 .0085 4 1.00 8.37 .0086 3 1.00 7.33 .0087 3 1.00 8.36 .0088 3 1.00 6.56 .0089 2 1.00 6.23 .0090 3 1.00 7.79 .0091 2 1.00 7.37 .0092 3 1.00 7.72 .0093 3 1.00 6.60 .0094 3 1.00 7.83 .0095 4 1.00 6.46 .0096 4 1.00 7.00 .0097 2 1.00 8.64 .0098 3 1.00 6.83 .0099 3 1.00 7.78 .0100 3 1.00 6.43 .0101 3 1.00 8.06 .0102 4 1.00 6.80 .0103 3 1.00 6.86 .0104 2 1.00 8.12 .0105 2 1.00 7.98 .0106 3 1.00 6.95 .0107 4 1.00 6.61 .0108 3 1.00 6.81 .0109 3 1.00 6.70 .0110 3 1.00 7.55 .0111 3 1.00 7.55 .0112 3 1.00 7.35 .0113 3 1.00 6.98 .0114 2 1.00 7.42 .0115 4 1.00 6.25 .0116 2 1.00 8.35 .0117 3 1.00 7.74 .0118 3 1.00 6.14 .0119 3 1.00 8.24 .0120 3 1.00 7.54 .0121 3 1.00 6.79 .0122 3 1.00 7.16 .0123 3 1.00 7.10 .0124 4 1.00 5.33 .0125 3 1.00 5.79 .0126 2 1.00 6.58 .0127 2 1.00 7.36 .0128 2 1.00 7.41 .0129 4 1.00 7.13 .0130 3 1.00 7.64 .0131 3 1.00 6.89 .0132 3 1.00 6.88 .0133 3 1.00 6.52 .0134 3 1.00 6.91 .0135 2 1.00 8.31 .0136 2 1.00 6.97 .0137 2 1.00 8.38 .0138 2 1.00 9.74 .0139 2 1.00 8.48 .0140 4 1.00 5.63 .0141 4 1.00 6.66 .0142 3 1.00 7.02 .0143 3 1.00 7.17 .0144 3 1.00 8.35 .0145 2 1.00 9.62 .0146 2 1.00 7.89 .0147 2 1.00 8.56 .0148 2 1.00 9.36 .0149 2 1.00 9.32 .0150 2 1.00 8.92 .0151 2 1.00 10.04 .0152 3 1.00 7.93 .0153 3 1.00 8.01 .0154 3 1.00 7.99 .0155 3 1.00 8.06 .0156 3 1.00 9.56 .0157 3 1.00 8.95 .0158 3 1.00 8.65 .0159 3 1.00 8.55 .0160 2 1.00 9.12 .0161 3 1.00 8.37 .0162 3 1.00 8.16 .0163 2 1.00 10.04 .0164 2 1.00 9.85 .0165 2 1.00 8.88 .0166 2 1.00 8.18 .0167 2 1.00 8.49 .0168 3 1.00 6.17 .0169 3 1.00 6.63 .0170 3 1.00 6.95 .0171 3 1.00 6.99 .0172 3 1.00 7.91 .0173 2 1.00 9.85 .0174 2 1.00 10.31 .0175 1 1.00 11.07 .0176 2 1.00 9.82 .0177 2 1.00 10.87 .0178 2 1.00 8.62 .0179 2 1.00 9.51 .0180 2 1.00 9.38 .0181 1 1.00 11.36 .0182 2 1.00 9.36 .0183 2 1.00 9.29 .0184 1 1.00 10.44 .0185 2 1.00 10.48 .0186 2 1.00 8.94 .0187 2 1.00 7.34 .0188 2 1.00 8.99 .0189 1 1.00 10.92 .0190 2 1.00 9.14 .0191 2 1.00 10.33 .0192 2 1.00 10.27 .0193 2 1.00 9.50 .0194 2 1.00 9.22 .0195 3 1.00 9.00 .0196 2 1.00 9.28 .0197 1 1.00 10.81 .0198 3 1.00 8.94 .0199 3 1.00 9.38 .0200 3 1.00 8.40 .0201 3 1.00 7.67 .0202 3 1.00 9.00 .0203 3 1.00 6.77 .0204 2 1.00 8.02 .0205 2 1.00 7.69 .0206 2 1.00 7.93 .0207 2 1.00 8.22 .0208 2 1.00 8.35 .0209 2 1.00 9.91 .0210 2 1.00 9.49 .0211 2 1.00 9.85 .0212 2 1.00 9.06 .0213 2 1.00 9.02 .0214 2 1.00 8.98 .0215 2 1.00 9.67 .0216 2 1.00 9.33 .0217 2 1.00 9.57 .0218 2 1.00 9.64 .0219 3 1.00 8.71 .0220 2 1.00 6.94 .0221 2 1.00 7.18 .0222 2 1.00 7.50 .0223 2 1.00 6.44 .0224 2 1.00 6.58 .0225 2 1.00 7.79 .0226 2 1.00 7.39 .0227 2 1.00 8.34 .0228 3 1.00 6.85 .0229 2 1.00 7.97 .0230 2 1.00 8.43 .0231 2 1.00 8.93 .0232 2 1.00 8.91 .0233 4 1.00 5.75 .0234 2 1.00 8.86 .0235 2 1.00 11.05 .0236 3 1.00 8.63 .0237 2 1.00 7.85 .0238 3 1.00 7.28 .0239 3 1.00 9.88 .0240 2 1.00 7.84 .0241 1 1.00 0.86 .0242 2 1.00 7.64 .0243 2 1.00 8.42 .0244 3 1.00 6.98 .0245 2 1.00 8.07 .0246 3 1.00 7.00 .0247 3 1.00 6.55 .0248 2 1.00 7.29 .0249 3 1.00 7.28 .0250 3 1.00 8.11 .0251 3 1.00 8.34 .0252 3 1.00 6.79 .0253 3 1.00 7.77 .0254 3 1.00 6.84 .0255 4 1.00 7.17 .0256 3 1.00 6.99 .0257 3 1.00 7.20 .0258 3 1.00 9.17 .0259 3 1.00 7.39 .0260 3 1.00 6.22 .0261 2 1.00 6.36 .0262 3 1.00 6.94 .0263 1 1.00 0.73 .0264 3 1.00 6.95 .0265 2 1.00 8.12 .0266 2 1.00 7.65 .0267 2 1.00 6.70 .0268 2 1.00 6.28 .0269 2 1.00 7.77 .0270 4 1.00 6.84 .0271 2 1.00 8.73 .0272 2 1.00 8.05 .0273 2 1.00 7.89 .0274 5 1.00 6.02 .0275 2 1.00 8.10 .0276 1 1.00 6.61 .0277 3 1.00 7.31 .0278 2 1.00 7.12 .0279 2 1.00 7.25 .0280 3 1.00 8.10 .0281 1 1.00 8.11 .0282 3 1.00 7.44 .0283 3 1.00 6.61 .0284 2 1.00 6.77 .0285 2 1.00 6.99 .0286 3 1.00 6.61 .0287 2 1.00 8.68 .0288 3 1.00 6.29 .0289 2 1.00 7.14 .0290 3 1.00 6.42 .0291 3 1.00 6.00 .0292 1 1.00 0.85 .0293 2 1.00 8.06 .0294 4 1.00 6.52 .0295 5 1.00 6.44 .0296 3 1.00 5.64 .0297 3 1.00 7.07 .0298 3 1.00 7.33 .0299 3 1.00 6.72 .0300 3 1.00 6.56 .0301 3 1.00 6.67 .0302 3 1.00 6.46 .0303 2 1.00 6.78 .0304 2 1.00 6.34 .0305 3 1.00 6.61 .0306 2 1.00 6.70 .0307 2 1.00 6.56 .0308 2 1.00 6.55 .0309 2 1.00 7.19 .0310 2 1.00 7.32 .0311 1 1.00 1.23 .0312 3 1.00 5.80 .0313 3 1.00 5.96 .0314 1 1.00 9.13 .0315 1 1.00 8.34 .0316 2 1.00 6.67 .0317 1 1.00 7.95 .0318 2 1.00 6.99 .0319 4 1.00 2.74 EXTRACT_IMAGE: r2: masked 564 pixels TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: r2: Total rejected = 0 FITDISPERSION: r2: Median wavelength widths = 0.87 0.86 0.81 0.78 pix (LL LR UL UR) SPCALIB: r2: Extracting arc # 2 of 2 SPCALIB: r2: Reading arc sdR-r2-00034592.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.58460 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 481.810 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 460. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.63042 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1292.25 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1272. DN is 2 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Fraction of bad pixels in arc = 6.24657e-05 SPCALIB: r2: Arc sdR-r2-00034592.fit paired with flat sdR-r2-00034591.fit MATCH_TRACE: r2: Iteration: 0 Pixels Rejected: 7933 Finished? 0 MATCH_TRACE: r2: Iteration: 1 Pixels Rejected: 342 Finished? 0 MATCH_TRACE: r2: Iteration: 2 Pixels Rejected: 37 Finished? 0 MATCH_TRACE: r2: Iteration: 3 Pixels Rejected: 3 Finished? 0 MATCH_TRACE: r2: Iteration: 4 Pixels Rejected: 0 Finished? 1 SPCALIB: r2: Shifting traces with match_trace -0.0109863 SPCALIB: r2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 1.34 .0004 1 0.95 1.34 .0005 1 0.95 1.20 .0006 1 0.95 1.23 .0007 1 0.95 1.28 .0008 1 0.95 1.33 .0009 1 0.95 1.50 .0010 1 0.95 1.49 .0011 3 0.95 1.48 .0012 1 0.95 1.59 .0013 1 0.95 1.77 .0014 1 0.95 1.98 .0015 2 0.95 1.92 .0016 2 0.95 2.02 .0017 1 0.95 2.59 .0018 2 0.95 2.00 .0019 1 0.95 2.02 .0020 1 0.95 2.06 .0021 1 0.95 2.04 .0022 1 0.95 1.92 .0023 1 0.95 1.95 .0024 1 0.95 2.00 .0025 1 0.95 2.34 .0026 1 0.95 2.33 .0027 1 0.95 2.27 .0028 1 0.95 2.36 .0029 1 0.95 2.41 .0030 1 0.95 2.12 .0031 1 0.95 2.32 .0032 1 0.95 2.75 .0033 1 0.95 4.20 .0034 2 0.95 2.37 .0035 2 0.95 2.02 .0036 2 0.95 2.11 .0037 2 0.95 1.38 .0038 1 0.95 1.46 .0039 1 0.95 1.47 .0040 1 0.95 1.45 .0041 1 0.95 1.45 .0042 1 0.95 1.45 .0043 1 0.95 1.53 .0044 1 0.95 1.65 .0045 1 0.95 1.85 .0046 1 0.95 1.85 .0047 1 0.95 1.76 .0048 1 0.95 1.71 .0049 1 0.95 1.67 .0050 1 0.95 1.67 .0051 1 0.95 1.71 .0052 1 0.95 1.94 .0053 1 0.95 2.30 .0054 1 0.95 1.60 .0055 1 0.95 1.58 .0056 1 0.95 1.95 .0057 1 0.95 1.69 .0058 1 0.95 1.70 .0059 1 0.95 1.79 .0060 1 0.95 1.94 .0061 1 0.95 1.82 .0062 1 0.95 1.81 .0063 1 0.95 1.76 .0064 1 0.95 1.60 .0065 1 0.95 1.44 .0066 1 0.95 1.42 .0067 1 0.95 1.31 .0068 1 0.95 1.31 .0069 1 0.95 1.36 .0070 1 0.95 1.29 .0071 1 0.95 1.47 .0072 2 0.95 1.60 .0073 1 0.95 1.69 .0074 1 0.95 1.75 .0075 1 0.95 1.72 .0076 1 0.95 1.73 .0077 2 0.95 1.91 .0078 2 0.95 2.03 .0079 3 0.95 1.96 .0080 2 0.95 2.06 .0081 2 0.95 1.94 .0082 1 0.95 2.18 .0083 1 0.95 2.15 .0084 1 0.95 2.16 .0085 1 0.95 2.13 .0086 2 0.95 2.35 .0087 2 0.95 2.45 .0088 1 0.95 2.72 .0089 1 0.95 2.63 .0090 1 0.95 2.50 .0091 2 0.95 2.60 .0092 1 0.95 2.77 .0093 1 0.95 2.28 .0094 1 0.95 2.79 .0095 1 0.95 3.58 .0096 1 0.95 2.79 .0097 1 0.95 1.96 .0098 1 0.95 2.25 .0099 2 0.95 1.50 .0100 2 0.95 1.18 .0101 2 0.95 1.10 .0102 1 0.95 1.22 .0103 3 0.95 1.14 .0104 1 0.95 1.12 .0105 1 0.95 1.18 .0106 1 0.95 1.11 .0107 1 0.95 1.22 .0108 1 0.95 1.21 .0109 1 0.95 1.29 .0110 1 0.95 1.23 .0111 1 0.95 1.22 .0112 1 0.95 1.12 .0113 1 0.95 1.16 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0.95 4.06 .0170 1 0.95 4.10 .0171 1 0.95 4.07 .0172 1 0.95 4.56 .0173 1 0.95 5.22 .0174 1 0.95 5.85 .0175 1 0.95 5.84 .0176 1 0.95 5.80 .0177 1 0.95 5.61 .0178 1 0.95 6.10 .0179 1 0.95 5.42 .0180 2 0.95 5.46 .0181 2 0.95 6.26 .0182 2 0.95 6.78 .0183 1 0.95 5.84 .0184 1 0.95 5.35 .0185 1 0.95 6.48 .0186 1 0.95 4.51 .0187 1 0.95 4.99 .0188 1 0.95 5.30 .0189 1 0.95 7.26 .0190 1 0.95 8.34 .0191 1 0.95 8.39 .0192 1 0.95 8.77 .0193 1 0.95 9.31 .0194 1 0.95 9.23 .0195 1 0.95 9.97 .0196 1 0.95 12.36 .0197 1 0.95 7.39 .0198 1 0.95 6.02 .0199 1 0.95 6.46 .0200 1 0.95 4.03 .0201 1 0.95 3.06 .0202 1 0.95 2.99 .0203 1 0.95 3.89 .0204 1 0.95 4.73 .0205 1 0.95 5.28 .0206 1 0.95 5.70 .0207 1 0.95 5.71 .0208 1 0.95 6.03 .0209 1 0.95 6.31 .0210 1 0.95 6.08 .0211 1 0.95 6.15 .0212 1 0.95 7.03 .0213 1 0.95 6.85 .0214 1 0.95 6.81 .0215 1 0.95 7.07 .0216 1 0.95 7.60 .0217 1 0.95 7.49 .0218 1 0.95 8.54 .0219 1 0.95 9.12 .0220 1 0.95 10.32 .0221 1 0.95 9.86 .0222 1 0.95 9.19 .0223 1 0.95 9.35 .0224 1 0.95 8.69 .0225 1 0.95 8.75 .0226 1 0.95 10.50 .0227 1 0.95 13.17 .0228 1 0.95 7.86 .0229 1 0.95 6.60 .0230 2 0.95 7.54 .0231 1 0.95 3.80 .0232 1 0.95 2.92 .0233 1 0.95 2.88 .0234 1 0.95 3.00 .0235 1 0.95 2.99 .0236 1 0.95 2.72 .0237 1 0.95 2.68 .0238 1 0.95 2.60 .0239 1 0.95 2.94 .0240 1 0.95 3.59 .0241 1 0.95 3.74 .0242 1 0.95 2.85 .0243 1 0.95 2.95 .0244 1 0.95 2.81 .0245 1 0.95 1.82 .0246 1 0.95 1.50 .0247 1 0.95 1.47 .0248 1 0.95 1.44 .0249 3 0.95 1.43 .0250 5 0.95 1.34 .0251 3 0.95 1.38 .0252 1 0.95 1.39 .0253 1 0.95 1.45 .0254 2 0.95 1.54 .0255 3 0.95 1.69 .0256 1 0.95 1.58 .0257 1 0.95 1.69 .0258 1 0.95 1.79 .0259 1 0.95 1.73 .0260 1 0.95 1.79 .0261 1 0.95 1.86 .0262 1 0.95 1.75 .0263 1 0.95 1.80 .0264 1 0.95 1.81 .0265 1 0.95 1.85 .0266 1 0.95 1.88 .0267 2 0.95 2.14 .0268 1 0.95 2.21 .0269 1 0.95 2.25 .0270 2 0.95 2.45 .0271 2 0.95 3.61 .0272 1 0.95 4.09 .0273 1 0.95 4.25 .0274 1 0.95 4.79 .0275 1 0.95 5.45 .0276 2 0.95 5.47 .0277 1 0.95 4.93 .0278 1 0.95 4.39 .0279 1 0.95 3.58 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0.95 5.93 .0336 2 0.95 5.52 .0337 2 0.95 5.64 .0338 2 0.95 5.96 .0339 2 0.95 6.34 .0340 2 0.95 6.53 .0341 1 0.95 7.05 .0342 1 0.95 7.20 .0343 1 0.95 8.53 .0344 1 0.95 8.72 .0345 1 0.95 8.91 .0346 1 0.94 8.75 .0347 1 0.94 9.30 .0348 1 0.94 10.52 .0349 1 0.94 11.01 .0350 1 0.94 11.77 .0351 1 0.94 14.81 .0352 1 0.94 13.95 .0353 1 0.94 11.60 .0354 1 0.94 9.40 .0355 1 0.94 8.74 .0356 1 0.94 5.11 .0357 1 0.94 4.92 .0358 1 0.94 4.97 .0359 1 0.94 8.36 .0360 1 0.94 14.52 .0361 1 0.94 18.75 .0362 1 0.94 20.49 .0363 1 0.94 22.85 .0364 1 0.94 23.28 .0365 1 0.94 22.60 .0366 1 0.94 22.65 .0367 1 0.94 17.93 .0368 2 0.94 17.15 .0369 2 0.94 18.39 .0370 2 0.94 17.77 .0371 2 0.94 16.49 .0372 1 0.94 17.91 .0373 1 0.94 20.46 .0374 1 0.94 23.70 .0375 1 0.94 25.50 .0376 1 0.94 24.57 .0377 1 0.94 26.13 .0378 1 0.94 25.51 .0379 1 0.94 23.34 .0380 1 0.94 25.96 .0381 2 0.94 26.30 .0382 2 0.94 27.34 .0383 2 0.94 31.05 .0384 2 0.94 28.09 .0385 1 0.94 29.28 .0386 1 0.94 31.82 .0387 1 0.94 31.96 .0388 1 0.94 30.39 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2.66 .0499 1 0.94 3.17 .0500 1 0.94 3.40 .0501 1 0.94 3.54 .0502 1 0.94 3.37 .0503 1 0.94 3.61 .0504 1 0.94 3.47 .0505 1 0.93 3.20 .0506 1 0.93 3.45 .0507 2 0.93 3.73 .0508 2 0.93 3.96 .0509 2 0.93 4.26 .0510 1 0.93 4.43 .0511 1 0.93 4.84 .0512 1 0.93 5.56 .0513 1 0.93 5.53 .0514 1 0.93 5.18 .0515 1 0.93 4.97 .0516 1 0.93 4.38 .0517 1 0.93 4.12 .0518 1 0.93 4.62 .0519 1 0.93 5.06 .0520 1 0.93 6.26 .0521 2 0.93 3.87 .0522 2 0.93 3.48 .0523 2 0.93 3.66 .0524 1 0.93 1.44 .0525 1 0.93 1.34 .0526 1 0.93 1.27 .0527 1 0.93 1.25 .0528 1 0.93 1.13 .0529 1 0.93 1.12 .0530 1 0.93 1.15 .0531 3 0.93 1.17 .0532 3 0.93 1.16 .0533 1 0.93 1.17 .0534 1 0.93 1.20 .0535 1 0.93 1.68 .0536 1 0.93 3.26 .0537 1 0.93 4.92 .0538 1 0.93 6.14 .0539 1 0.93 6.78 .0540 1 0.93 7.41 .0541 1 0.93 6.93 .0542 1 0.93 6.67 .0543 1 0.93 5.34 .0544 1 0.93 5.22 .0545 2 0.93 4.85 .0546 2 0.93 4.34 .0547 1 0.93 4.03 .0548 1 0.93 4.74 .0549 1 0.93 5.72 .0550 1 0.93 6.10 .0551 1 0.93 6.96 .0552 2 0.93 6.61 .0553 1 0.93 7.75 .0554 1 0.93 6.58 .0555 1 0.93 5.90 .0556 1 0.93 6.19 .0557 1 0.93 6.87 .0558 1 0.93 7.73 .0559 1 0.93 7.93 .0560 1 0.93 8.35 .0561 1 0.93 10.57 .0562 1 0.93 12.87 .0563 1 0.93 13.15 .0564 1 0.93 12.50 .0565 1 0.93 11.73 .0566 1 0.93 10.65 .0567 1 0.93 9.54 .0568 1 0.93 10.23 .0569 1 0.93 11.13 .0570 1 0.93 10.38 .0571 1 0.93 7.96 .0572 1 0.93 6.04 .0573 1 0.93 6.72 .0574 1 0.93 4.00 .0575 1 0.93 4.06 .0576 1 0.93 3.99 .0577 1 0.93 4.27 .0578 1 0.93 4.21 .0579 1 0.93 3.77 .0580 1 0.93 3.78 .0581 1 0.93 3.95 .0582 2 0.93 4.51 .0583 1 0.93 5.08 .0584 1 0.93 5.09 .0585 1 0.93 5.29 .0586 1 0.93 6.32 .0587 1 0.93 6.43 .0588 1 0.93 6.12 .0589 1 0.93 5.79 .0590 2 0.93 5.16 .0591 1 0.93 4.98 .0592 1 0.93 5.54 .0593 1 0.93 5.93 .0594 1 0.93 6.70 .0595 1 0.93 4.73 .0596 1 0.93 3.70 .0597 1 0.93 3.95 .0598 1 0.93 1.51 .0599 1 0.93 1.35 .0600 1 0.93 1.38 .0601 1 0.93 1.21 .0602 1 0.93 1.26 .0603 1 0.93 1.14 .0604 1 0.93 1.20 .0605 1 0.93 1.10 .0606 1 0.93 1.06 .0607 1 0.93 1.06 .0608 1 0.93 1.14 .0609 1 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1 0.91 1.07 .1441 1 0.91 1.18 .1442 1 0.91 1.13 .1443 1 0.91 1.12 .1444 1 0.91 1.15 .1445 1 0.91 1.06 .1446 1 0.91 1.12 .1447 1 0.91 1.10 .1448 1 0.91 1.10 .1449 1 0.91 1.13 .1450 1 0.91 1.05 .1451 1 0.91 1.10 .1452 1 0.91 1.15 .1453 1 0.91 1.06 .1454 1 0.91 1.13 .1455 1 0.91 1.07 .1456 1 0.91 1.14 .1457 1 0.91 1.13 .1458 1 0.91 1.08 .1459 1 0.91 1.07 .1460 1 0.91 1.09 .1461 1 0.91 1.20 .1462 2 0.91 1.12 .1463 1 0.91 1.14 .1464 1 0.91 1.13 .1465 1 0.91 1.10 .1466 1 0.91 1.18 .1467 2 0.91 1.20 .1468 2 0.91 1.18 .1469 2 0.91 1.38 .1470 1 0.91 1.09 .1471 1 0.91 1.10 .1472 1 0.91 1.15 .1473 1 0.91 1.04 .1474 1 0.91 1.21 .1475 1 0.91 1.03 .1476 1 0.91 1.15 .1477 1 0.91 1.08 .1478 1 0.91 1.15 .1479 1 0.91 1.19 .1480 2 0.91 1.28 .1481 2 0.91 1.07 .1482 1 0.91 1.00 .1483 1 0.91 1.12 .1484 1 0.91 1.06 .1485 1 0.91 1.14 .1486 1 0.91 1.11 .1487 2 0.91 1.19 .1488 3 0.91 1.16 .1489 1 0.91 1.16 .1490 1 0.91 1.12 .1491 1 0.91 1.09 .1492 1 0.91 1.09 .1493 2 0.91 1.21 .1494 2 0.91 1.27 .1495 1 0.91 1.17 .1496 1 0.91 1.22 .1497 1 0.91 1.10 .1498 1 0.91 1.15 .1499 1 0.91 1.12 .1500 1 0.91 1.13 .1501 1 0.91 1.12 .1502 1 0.91 1.15 .1503 1 0.91 1.09 .1504 1 0.91 1.12 .1505 1 0.91 1.12 .1506 1 0.91 1.10 .1507 1 0.91 1.16 .1508 1 0.91 1.16 .1509 1 0.91 1.19 .1510 1 0.91 1.18 .1511 1 0.91 1.19 .1512 2 0.91 1.27 .1513 1 0.91 1.13 .1514 1 0.91 1.12 .1515 1 0.91 1.11 .1516 1 0.91 1.15 .1517 1 0.91 1.23 .1518 1 0.91 1.15 .1519 1 0.91 1.21 .1520 1 0.91 1.14 .1521 1 0.91 1.26 .1522 1 0.91 1.19 .1523 1 0.91 1.20 .1524 1 0.91 1.24 .1525 1 0.91 1.12 .1526 1 0.91 1.17 .1527 1 0.91 1.25 .1528 1 0.91 1.22 .1529 1 0.91 1.32 .1530 1 0.91 1.24 .1531 2 0.91 1.30 .1532 1 0.91 1.26 .1533 2 0.91 1.23 .1534 2 0.91 1.12 .1535 1 0.91 1.05 .1536 1 0.91 1.13 .1537 2 0.91 1.20 .1538 1 0.91 1.33 .1539 1 0.91 1.20 .1540 1 0.91 1.13 .1541 1 0.91 1.26 .1542 3 0.91 1.24 .1543 2 0.91 1.11 .1544 1 0.91 1.14 .1545 1 0.91 1.12 .1546 1 0.91 1.16 .1547 1 0.91 1.18 .1548 1 0.91 1.14 .1549 1 0.91 1.22 .1550 1 0.91 1.22 .1551 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1.14 .1607 1 0.91 1.13 .1608 1 0.91 1.12 .1609 2 0.91 1.31 .1610 1 0.91 1.13 .1611 1 0.91 1.09 .1612 1 0.91 1.07 .1613 1 0.91 1.18 .1614 2 0.91 1.13 .1615 1 0.91 1.08 .1616 1 0.91 1.16 .1617 1 0.91 1.12 .1618 1 0.91 1.12 .1619 1 0.91 1.32 .1620 1 0.91 1.40 .1621 1 0.91 1.43 .1622 1 0.91 1.34 .1623 1 0.91 1.44 .1624 1 0.91 1.48 .1625 1 0.91 1.33 .1626 1 0.91 1.34 .1627 1 0.91 1.44 .1628 1 0.91 1.56 .1629 1 0.91 1.48 .1630 3 0.91 1.72 .1631 1 0.91 1.48 .1632 1 0.91 1.56 .1633 1 0.91 1.41 .1634 1 0.91 1.48 .1635 2 0.91 1.51 .1636 1 0.91 1.45 .1637 1 0.91 1.36 .1638 1 0.91 1.42 .1639 1 0.91 1.55 .1640 1 0.91 1.75 .1641 2 0.92 1.93 .1642 1 0.92 1.91 .1643 1 0.92 1.66 .1644 2 0.92 1.49 .1645 1 0.92 1.22 .1646 1 0.92 1.23 .1647 1 0.92 1.09 .1648 1 0.92 1.13 .1649 1 0.92 1.21 .1650 1 0.92 1.21 .1651 1 0.92 1.12 .1652 1 0.92 1.17 .1653 2 0.92 1.17 .1654 2 0.92 1.30 .1655 1 0.92 1.18 .1656 1 0.92 1.16 .1657 1 0.92 1.27 .1658 3 0.92 1.21 .1659 1 0.92 1.23 .1660 1 0.92 1.16 .1661 1 0.92 1.12 .1662 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1.55 .1718 1 0.92 1.47 .1719 1 0.92 1.46 .1720 1 0.92 1.50 .1721 1 0.92 1.58 .1722 1 0.92 1.44 .1723 1 0.92 1.27 .1724 1 0.92 1.46 .1725 1 0.92 1.46 .1726 1 0.92 1.41 .1727 1 0.92 1.58 .1728 1 0.92 1.40 .1729 1 0.92 1.35 .1730 1 0.92 1.40 .1731 1 0.92 1.60 .1732 2 0.92 1.55 .1733 1 0.92 1.46 .1734 2 0.92 1.24 .1735 2 0.92 1.32 .1736 3 0.92 1.18 .1737 1 0.92 1.22 .1738 1 0.92 1.17 .1739 1 0.92 1.18 .1740 1 0.92 1.13 .1741 1 0.92 1.18 .1742 1 0.92 1.17 .1743 1 0.92 1.25 .1744 1 0.92 1.14 .1745 1 0.92 1.19 .1746 1 0.92 1.11 .1747 1 0.92 1.15 .1748 1 0.92 1.15 .1749 1 0.92 1.15 .1750 1 0.92 1.16 .1751 1 0.92 1.18 .1752 1 0.92 1.19 .1753 1 0.92 1.24 .1754 1 0.92 1.21 .1755 1 0.92 1.08 .1756 1 0.92 1.21 .1757 2 0.92 1.15 .1758 1 0.92 1.16 .1759 1 0.92 1.14 .1760 1 0.92 1.12 .1761 1 0.92 1.15 .1762 1 0.92 1.13 .1763 1 0.92 1.16 .1764 1 0.92 1.16 .1765 3 0.92 1.21 .1766 1 0.92 1.31 .1767 1 0.92 1.13 .1768 1 0.92 1.14 .1769 1 0.92 1.05 .1770 1 0.92 1.20 .1771 2 0.92 1.19 .1772 1 0.92 1.10 .1773 1 0.92 1.16 .1774 2 0.92 1.25 .1775 1 0.92 1.13 .1776 1 0.92 1.23 .1777 1 0.92 1.16 .1778 1 0.92 1.13 .1779 2 0.92 1.18 .1780 1 0.92 1.27 .1781 3 0.92 1.11 .1782 1 0.92 1.27 .1783 1 0.92 1.36 .1784 1 0.92 1.35 .1785 1 0.92 1.38 .1786 1 0.92 1.49 .1787 1 0.92 1.51 .1788 1 0.92 1.46 .1789 2 0.92 1.47 .1790 2 0.92 1.52 .1791 1 0.92 1.50 .1792 1 0.92 1.58 .1793 2 0.92 1.46 .1794 2 0.92 1.44 .1795 1 0.92 1.57 .1796 1 0.92 1.47 .1797 1 0.92 1.44 .1798 2 0.92 1.49 .1799 1 0.92 1.42 .1800 1 0.92 1.33 .1801 1 0.92 1.36 .1802 1 0.92 1.58 .1803 1 0.92 1.61 .1804 1 0.92 1.52 .1805 1 0.92 1.35 .1806 2 0.92 1.30 .1807 2 0.92 1.25 .1808 1 0.92 1.18 .1809 1 0.92 1.15 .1810 1 0.92 1.22 .1811 1 0.92 1.16 .1812 1 0.92 1.24 .1813 1 0.92 1.20 .1814 1 0.92 1.19 .1815 1 0.92 1.23 .1816 1 0.92 1.19 .1817 1 0.92 1.17 .1818 1 0.92 1.22 .1819 1 0.92 1.13 .1820 1 0.92 1.21 .1821 1 0.92 1.23 .1822 1 0.92 1.16 .1823 1 0.92 1.29 .1824 1 0.92 1.31 .1825 3 0.92 1.24 .1826 1 0.92 1.27 .1827 1 0.92 1.33 .1828 1 0.92 1.20 .1829 1 0.92 1.24 .1830 1 0.92 1.26 .1831 1 0.92 1.31 .1832 1 0.92 1.30 .1833 1 0.92 1.21 .1834 1 0.92 1.25 .1835 1 0.92 1.25 .1836 1 0.92 1.30 .1837 1 0.92 1.21 .1838 1 0.92 1.26 .1839 1 0.92 1.18 .1840 1 0.92 1.16 .1841 1 0.92 1.21 .1842 1 0.92 1.27 .1843 1 0.92 1.31 .1844 1 0.92 1.17 .1845 1 0.92 1.25 .1846 1 0.92 1.19 .1847 2 0.92 1.29 .1848 1 0.92 1.16 .1849 1 0.92 1.15 .1850 1 0.92 1.25 .1851 1 0.92 1.21 .1852 1 0.92 1.20 .1853 1 0.92 1.12 .1854 1 0.92 1.08 .1855 1 0.92 1.14 .1856 2 0.92 1.25 .1857 1 0.92 1.25 .1858 1 0.92 1.13 .1859 1 0.92 1.11 .1860 1 0.92 1.18 .1861 1 0.92 1.14 .1862 1 0.92 1.16 .1863 1 0.92 1.17 .1864 1 0.92 1.09 .1865 1 0.92 1.20 .1866 1 0.92 1.16 .1867 1 0.92 1.05 .1868 1 0.92 1.16 .1869 1 0.92 1.19 .1870 1 0.92 1.17 .1871 1 0.92 1.23 .1872 1 0.92 1.14 .1873 1 0.92 1.20 .1874 1 0.92 1.21 .1875 1 0.92 1.18 .1876 1 0.92 1.13 .1877 1 0.92 1.22 .1878 1 0.92 1.24 .1879 1 0.92 1.10 .1880 1 0.92 1.15 .1881 1 0.92 1.15 .1882 1 0.92 1.16 .1883 1 0.92 1.13 .1884 1 0.92 1.12 .1885 1 0.92 1.08 .1886 1 0.92 1.21 .1887 1 0.92 1.19 .1888 2 0.92 1.18 .1889 4 0.92 1.17 .1890 2 0.92 1.29 .1891 1 0.92 1.21 .1892 1 0.92 1.07 .1893 2 0.92 1.18 .1894 3 0.92 1.14 .1895 3 0.92 1.21 .1896 3 0.92 1.11 .1897 1 0.92 1.13 .1898 1 0.92 1.14 .1899 1 0.92 1.11 .1900 1 0.92 1.08 .1901 1 0.92 1.09 .1902 1 0.92 1.19 .1903 1 0.92 1.16 .1904 1 0.92 1.18 .1905 1 0.92 1.16 .1906 1 0.92 1.24 .1907 3 0.92 1.12 .1908 1 0.92 1.16 .1909 1 0.92 1.13 .1910 1 0.92 1.19 .1911 1 0.92 1.17 .1912 1 0.92 1.01 .1913 1 0.92 1.18 .1914 2 0.92 1.17 .1915 1 0.92 1.10 .1916 1 0.92 1.12 .1917 1 0.92 1.15 .1918 1 0.92 1.15 .1919 1 0.92 1.11 .1920 1 0.92 1.18 .1921 1 0.92 1.08 .1922 2 0.92 1.21 .1923 1 0.92 1.26 .1924 1 0.92 1.03 .1925 1 0.92 1.19 .1926 1 0.92 1.16 .1927 1 0.92 1.07 .1928 1 0.92 1.21 .1929 1 0.92 1.20 .1930 1 0.92 1.14 .1931 1 0.92 1.13 .1932 1 0.92 1.10 .1933 1 0.92 1.24 .1934 1 0.92 1.23 .1935 1 0.92 1.09 .1936 1 0.92 1.11 .1937 1 0.92 1.12 .1938 1 0.92 1.16 .1939 1 0.92 1.25 .1940 1 0.92 1.22 .1941 1 0.92 1.09 .1942 1 0.92 1.13 .1943 1 0.92 1.13 .1944 1 0.92 1.14 .1945 1 0.92 1.14 .1946 2 0.92 1.16 .1947 1 0.92 1.11 .1948 1 0.92 1.14 .1949 1 0.92 1.13 .1950 2 0.92 1.09 .1951 1 0.92 1.08 .1952 1 0.92 1.17 .1953 1 0.92 1.13 .1954 1 0.92 1.14 .1955 1 0.92 1.22 .1956 1 0.92 1.12 .1957 2 0.92 1.06 .1958 1 0.92 1.09 .1959 1 0.92 1.12 .1960 1 0.92 1.20 .1961 1 0.92 1.12 .1962 1 0.92 1.18 .1963 1 0.92 1.18 .1964 1 0.92 1.20 .1965 1 0.92 1.17 .1966 1 0.92 1.23 .1967 1 0.92 1.15 .1968 1 0.92 1.11 .1969 1 0.92 1.18 .1970 1 0.92 1.18 .1971 1 0.92 1.16 .1972 1 0.92 1.13 .1973 1 0.92 1.19 .1974 1 0.92 1.13 .1975 2 0.92 1.20 .1976 1 0.92 1.33 .1977 2 0.92 1.40 .1978 1 0.92 1.20 .1979 1 0.92 1.17 .1980 1 0.92 1.15 .1981 1 0.92 1.19 .1982 1 0.92 1.13 .1983 1 0.92 1.17 .1984 1 0.92 1.20 .1985 1 0.92 1.14 .1986 1 0.92 1.12 .1987 1 0.92 1.17 .1988 1 0.92 1.15 .1989 1 0.92 1.15 .1990 1 0.92 1.10 .1991 1 0.92 1.18 .1992 1 0.92 1.13 .1993 2 0.92 1.13 .1994 2 0.92 1.24 .1995 1 0.92 1.18 .1996 1 0.92 1.22 .1997 1 0.92 1.08 .1998 1 0.92 1.09 .1999 1 0.92 1.16 .2000 1 0.92 1.15 .2001 1 0.92 1.25 .2002 1 0.92 1.16 .2003 1 0.92 1.16 .2004 1 0.92 1.15 .2005 2 0.92 1.21 .2006 2 0.92 1.18 .2007 1 0.92 1.11 .2008 1 0.92 1.10 .2009 2 0.92 1.13 .2010 1 0.92 1.13 .2011 1 0.92 1.15 .2012 1 0.92 1.12 .2013 1 0.92 1.16 .2014 1 0.92 1.13 .2015 1 0.92 1.13 .2016 2 0.92 1.29 .2017 1 0.92 1.17 .2018 1 0.92 1.11 .2019 1 0.92 1.16 .2020 1 0.92 1.17 .2021 1 0.92 1.28 .2022 1 0.92 1.09 .2023 1 0.92 1.10 .2024 1 0.92 1.14 .2025 1 0.92 1.08 .2026 1 0.92 1.22 .2027 1 0.92 1.11 .2028 2 0.92 1.20 .2029 1 0.92 1.27 .2030 1 0.92 1.18 .2031 2 0.92 1.16 .2032 1 0.92 1.12 .2033 2 0.92 1.21 .2034 3 0.92 1.24 .2035 1 0.92 1.18 .2036 1 0.92 1.17 .2037 2 0.92 1.21 .2038 2 0.92 1.18 .2039 3 0.92 1.16 .2040 2 0.92 1.29 .2041 1 0.92 1.22 .2042 1 0.92 1.19 .2043 1 0.92 1.21 .2044 1 0.92 1.20 .2045 1 0.92 1.20 .2046 1 0.92 1.26 .2047 1 0.92 1.16 EXTRACT_IMAGE: r2: masked 341 pixels SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r2: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r2: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Searching about coefficients = 3.86863 0.10078 -0.00438 -0.00022 ARCFIT_ITER: r2: Searching lags from -152 to 152 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Initial wavelength fit = 3.86853 0.10079 -0.00438 -0.00026 ARCFIT_GUESS: r2: Initial correlation = 0.758888 FITARCIMAGE_GLOBAL: r2: Best correlation = 0.758888 FITARCIMAGE_GLOBAL: r2: ASET = 3.86853 0.10079 -0.00438 -0.00026 SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Tracing 35 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Iterating flux-weighted centers . 0 320 0.121 . 1 320 0.119 . 2 320 0.131 . 3 320 0.130 . 4 320 0.128 . 5 320 0.129 . 6 320 0.117 . 7 320 0.129 . 8 320 0.133 . 9 320 0.122 . 10 320 0.128 . 11 320 0.122 . 12 320 0.119 . 13 320 0.120 . 14 320 0.132 . 15 320 0.118 . 16 320 0.128 . 17 320 0.126 . 18 320 0.126 . 19 320 0.129 . 20 320 0.127 . 21 320 0.136 . 22 320 0.128 . 23 320 0.129 . 24 320 0.117 . 25 320 0.129 . 26 320 0.122 . 27 320 0.126 . 28 320 0.122 . 29 320 0.121 . 30 320 0.125 . 31 320 0.123 . 32 320 0.127 . 33 320 0.120 . 34 320 0.122 . 35 320 0.127 . 36 320 0.129 . 37 320 0.131 . 38 320 0.130 . 39 320 0.128 . 40 320 0.139 . 41 320 0.129 . 42 320 0.129 . 43 320 0.132 . 44 320 0.131 . 45 320 0.134 . 46 320 0.133 . 47 320 0.128 . 48 320 0.128 . 49 320 0.141 . 50 320 0.140 . 51 320 0.134 . 52 320 0.139 . 53 320 0.129 . 54 320 0.102 . 55 320 0.122 . 56 320 0.130 . 57 320 0.134 . 58 320 0.138 . 59 320 0.132 . 60 320 0.133 . 61 320 0.130 . 62 320 0.141 . 63 320 0.134 . 64 320 0.135 . 65 320 0.125 . 66 320 0.138 . 67 320 0.132 . 68 320 0.129 . 69 320 0.128 . 70 320 0.126 . 71 320 0.137 . 72 320 0.134 . 73 320 0.142 . 74 320 0.133 . 75 320 0.131 . 76 320 0.142 . 77 320 0.147 . 78 320 0.143 . 79 320 0.137 . 80 320 0.129 . 81 320 0.145 . 82 320 0.137 . 83 320 0.143 . 84 320 0.142 . 85 320 0.142 . 86 320 0.137 . 87 320 0.137 . 88 320 0.140 . 89 320 0.133 . 90 320 0.133 . 91 320 0.136 . 92 320 0.142 . 93 320 0.138 . 94 320 0.130 . 95 320 0.130 . 96 320 0.139 . 97 320 0.129 . 98 320 0.140 . 99 320 0.135 . 100 320 0.128 . 101 320 0.134 . 102 320 0.136 . 103 320 0.125 . 104 320 0.125 . 105 320 0.130 . 106 320 0.127 . 107 320 0.125 . 108 320 0.127 . 109 320 0.131 . 110 320 0.125 . 111 320 0.135 . 112 320 0.124 . 113 320 0.133 . 114 320 0.124 . 115 320 0.138 . 116 320 0.134 . 117 320 0.139 . 118 320 0.129 . 119 320 0.132 . 120 320 0.144 . 121 320 0.135 . 122 320 0.131 . 123 320 0.136 . 124 320 0.124 . 125 320 0.128 . 126 320 0.121 . 127 320 0.126 . 128 320 0.129 . 129 320 0.136 . 130 320 0.145 . 131 320 0.141 . 132 320 0.140 . 133 320 0.137 . 134 320 0.130 . 135 320 0.130 . 136 320 0.126 . 137 320 0.139 . 138 320 0.137 . 139 320 0.135 . 140 320 0.126 . 141 320 0.149 . 142 320 0.137 . 143 320 0.131 . 144 320 0.138 . 145 320 0.126 . 146 320 0.124 . 147 320 0.122 . 148 320 0.131 . 149 320 0.129 . 150 320 0.131 . 151 320 0.148 . 152 320 0.143 . 153 320 0.151 . 154 320 0.140 . 155 320 0.139 . 156 320 0.138 . 157 320 0.146 . 158 320 0.135 . 159 320 0.133 . 160 320 0.139 . 161 320 0.129 . 162 320 0.136 . 163 320 0.131 . 164 320 0.129 . 165 320 0.124 . 166 320 0.131 . 167 320 0.144 . 168 320 0.139 . 169 320 0.129 . 170 320 0.147 . 171 320 0.138 . 172 320 0.144 . 173 320 0.130 . 174 320 0.133 . 175 320 0.133 . 176 320 0.134 . 177 320 0.141 . 178 320 0.128 . 179 320 0.137 . 180 320 0.128 . 181 320 0.149 . 182 320 0.138 . 183 320 0.133 . 184 320 0.112 . 185 320 0.137 . 186 320 0.148 . 187 320 0.128 . 188 320 0.136 . 189 320 0.145 . 190 320 0.128 . 191 320 0.140 . 192 320 0.147 . 193 320 0.134 . 194 320 0.133 . 195 320 0.136 . 196 320 0.135 . 197 320 0.145 . 198 320 0.142 . 199 320 0.142 . 200 320 0.133 . 201 320 0.135 . 202 320 0.145 . 203 320 0.135 . 204 320 0.138 . 205 320 0.144 . 206 320 0.135 . 207 320 0.142 . 208 320 0.133 . 209 320 0.130 . 210 320 0.135 . 211 320 0.134 . 212 320 0.134 . 213 320 0.135 . 214 320 0.133 . 215 320 0.135 . 216 320 0.132 . 217 320 0.141 . 218 320 0.135 . 219 320 0.135 . 220 320 0.135 . 221 320 0.126 . 222 320 0.133 . 223 320 0.128 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 224 25 250.78505 13.013522 0.34146627 0.44919292 29.007932 1 . 224 320 11.030 . 225 320 0.126 . 226 320 0.137 . 227 320 0.133 . 228 320 0.117 . 229 320 0.127 . 230 320 0.135 . 231 320 0.136 . 232 320 0.133 . 233 320 0.127 . 234 320 0.138 . 235 320 0.145 . 236 320 0.146 . 237 320 0.146 . 238 320 0.151 . 239 320 0.158 . 240 320 0.133 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -14.311725 2.3964331 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -14.452262 2.6694004 0.33129059 -0.0000000 8.3768475 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -16.983612 2.7318300 7.1410176 0.0000000 1273.3214 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -12.108588 2.7625205 0.34201248 -0.0000000 8.7567354 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -33.901016 2.6641084 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -21.307945 2.7305175 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 6 -23.385511 2.9571580 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -18.470681 3.3343856 0.66742849 -0.0000000 6.9312399 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -19.981505 2.5111116 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -20.257209 3.6358234 0.35164126 0.43103439 10.957280 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -29.918584 2.6916077 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -32.171574 2.9909454 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -72.195907 3.6544735 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 13 37.413951 5.5634697 0.65076164 -0.0000000 11.494632 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -28.964811 4.2638835 0.34236005 0.36479673 10.697197 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 15 -13.655356 2.8152904 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 16 -21.323148 3.6970128 0.44679196 -0.0000000 7.8632795 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 17 -14.987958 3.0760955 0.48121510 -0.0000000 8.6233386 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 18 -39.697602 3.8932793 0.43236408 0.48827186 8.9784625 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 19 -0.91892138 2.7643931 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 20 -21.171434 3.8737107 0.64679816 -0.0000000 7.9766009 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 21 -15.987182 3.4735811 1.5853052 -0.0000000 7.1827565 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 22 -2.8246876 2.8032946 1.8112158 -0.0000000 8.6455986 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 23 -11.168225 3.4716577 0.79380556 -0.0000000 7.0896444 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 24 -2.3747119 2.4949789 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 25 -7.7406174 2.8400160 0.38574254 -0.0000000 8.9450688 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 26 -6.1716030 2.5534527 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 27 -10.154684 2.9345985 0.89253311 -0.0000000 9.0672994 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 28 -20.615874 3.5131396 0.50554476 0.48496062 11.135584 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 29 -22.665385 2.7198742 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 30 -12.414356 2.7489076 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 31 -12.760587 3.3291983 1.0582306 -0.0000000 9.9315854 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 32 -21.839359 2.7995084 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 33 -21.161194 2.7524264 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 34 -18.037869 3.8660506 0.66420832 -0.0000000 8.3298299 1 . 241 320 0.246 . 242 320 0.141 . 243 320 0.132 . 244 320 0.127 . 245 320 0.132 . 246 320 0.137 . 247 320 0.136 . 248 320 0.132 . 249 320 0.133 . 250 320 0.134 . 251 320 0.133 . 252 320 0.133 . 253 320 0.136 . 254 320 0.139 . 255 320 0.133 . 256 320 0.143 . 257 320 0.134 . 258 320 0.139 . 259 320 0.135 . 260 320 0.128 . 261 320 0.129 . 262 320 0.143 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 0 -13.423386 3.6843875 0.98051968 1.2250605 6.9869961 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -7.3781536 2.3483702 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -13.253489 2.7263963 0.36925617 -0.0000000 8.0330166 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -14.623318 2.3547565 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 4 -36.740155 0.29122692 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 6 -32.036632 0.21096883 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -20.657788 2.5874133 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -17.590792 2.5014734 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -27.934268 3.7414912 0.63959677 -0.0000000 7.7211146 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -30.581187 3.8087770 0.55777622 -0.0000000 7.6494456 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 11 -47.213956 0.25383386 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 12 -60.607501 0.22952284 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 13 15.339826 5.6486283 0.47777089 -0.0000000 11.731535 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 14 -24.871397 3.6345952 0.31652162 -0.0000000 10.564056 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 15 -9.4003197 2.8492945 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 16 -19.509755 2.9841749 0.49607736 -0.0000000 9.1621559 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 17 -18.378781 3.6572182 0.47047338 0.50611004 8.9414686 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 18 -23.138818 2.8711765 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 19 -15.221192 3.4368826 0.48330289 0.54660967 9.0837250 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 20 -18.145972 0.23153216 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 21 -13.941304 2.4140089 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 22 -7.6612358 3.5397655 2.3557973 -0.0000000 7.2470456 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 23 -10.116272 3.3971428 0.48119566 0.55676069 8.1409130 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 24 -5.9405063 2.3885326 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 25 -7.1859460 3.0620505 0.40189773 0.39797815 8.7125048 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 26 -13.812448 3.8936217 0.68546491 0.79765171 7.6721985 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 27 -12.048249 2.6398510 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 28 -21.006391 3.1304423 2.2117604 -0.0000000 10.254556 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 29 -17.639359 2.7741139 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 30 -13.575205 2.8350411 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 31 -23.739811 3.1730370 0.39788758 -0.0000000 10.335289 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 32 -18.044492 2.8007460 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 33 -20.916091 3.1674321 0.32236722 -0.0000000 10.219293 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 34 -17.655017 2.7153350 0.0000000 0.0000000 0.0000000 3 . 263 320 0.256 . 264 320 0.138 . 265 320 0.130 . 266 320 0.127 . 267 320 0.131 . 268 320 0.131 . 269 320 0.136 . 270 320 0.133 . 271 320 0.130 . 272 320 0.128 . 273 320 0.124 . 274 320 0.127 . 275 320 0.127 . 276 320 0.093 . 277 320 0.123 . 278 320 0.131 . 279 320 0.124 . 280 320 0.134 . 281 320 0.130 . 282 320 0.132 . 283 320 0.131 . 284 320 0.135 . 285 320 0.132 . 286 320 0.132 . 287 320 0.131 . 288 320 0.127 . 289 320 0.135 . 290 320 0.128 . 291 320 0.129 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -11.001153 2.3708612 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -10.776085 2.3459639 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -10.508815 2.6980762 0.61633275 -0.0000000 8.3523746 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -9.4723992 2.5610820 11.455261 0.0000000 7.9711577 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 4 -18.157741 0.28863036 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -43.013475 3.4374705 0.47087491 -0.0000000 7.5014399 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -28.516225 3.8035850 0.38726109 -0.0000000 7.8309573 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -31.365897 2.6091757 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 8 -12.406347 2.8088311 0.84904491 -0.0000000 8.7180720 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -21.865873 2.6505441 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -28.695608 2.6373776 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 11 -40.673204 3.8364735 0.30352790 -0.0000000 8.1449895 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -47.253769 4.7169046 0.36236577 -0.0000000 9.7721236 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 13 -45.724593 3.7340453 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 14 -54.164991 0.22270821 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 15 -37.788022 3.0195145 1.8773326 -0.0000000 9.1248439 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 16 -22.746602 3.4300242 0.49638000 0.54560558 9.4610357 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 17 -23.997559 3.8029410 1.2424390 -0.0000000 7.6428422 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 18 -28.420916 2.8022365 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 19 -22.226851 3.6579130 0.64757401 0.72680714 8.8456885 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 20 -31.610159 0.20188771 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 21 -15.928813 2.4345671 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 22 -15.306736 2.7561546 0.60991792 -0.0000000 9.1688498 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 23 -16.068967 2.7555286 0.30211555 -0.0000000 8.4278126 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 24 -13.880565 2.6660787 0.31493961 -0.0000000 8.4708250 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 25 -11.418971 4.1212549 0.80659863 1.0070962 7.3035403 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 26 -20.598758 4.5094206 0.66908031 0.86201818 7.3098532 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 27 -13.179721 2.9510931 2.7711828 0.0000000 8.8233707 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 28 -27.981410 2.7258076 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 29 -16.643934 2.7891015 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 30 -20.734571 2.6714174 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 31 -31.354701 3.8486153 1.0929112 1.2621631 8.7141472 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 32 -33.964462 3.8077308 0.71672995 0.81787625 8.7595236 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 33 -20.434755 2.8249171 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 34 -23.262693 2.7346410 0.0000000 0.0000000 0.0000000 3 . 292 320 0.245 . 293 320 0.129 . 294 320 0.126 . 295 320 0.125 . 296 320 0.120 . 297 320 0.126 . 298 320 0.132 . 299 320 0.135 . 300 320 0.132 . 301 320 0.131 . 302 320 0.131 . 303 320 0.127 . 304 320 0.133 . 305 320 0.131 . 306 320 0.138 . 307 320 0.124 . 308 320 0.126 . 309 320 0.128 . 310 320 0.125 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -14.374756 3.1551778 0.57311878 -0.0000000 6.6275255 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -18.813177 2.6745753 0.39788136 -0.0000000 7.7100027 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -7.6488493 2.3702658 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -11.547953 2.6586343 0.73903021 -0.0000000 8.0485001 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -19.686421 2.7857466 1.6539245 -0.0000000 8.0931216 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -41.466221 2.8413172 0.75423825 -0.0000000 8.6793088 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -37.109653 3.5081097 0.51254212 -0.0000000 7.3023905 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -51.739031 2.4993270 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -19.007478 2.8126926 0.83782605 -0.0000000 8.6077420 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -35.048362 3.2806399 0.39282133 -0.0000000 6.8692741 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -33.501787 2.4702419 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -47.465874 3.7567497 0.35676520 -0.0000000 7.9153505 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -49.941002 3.0055886 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 311 13 -100.11727 0.26265621 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -50.898170 3.8965542 0.33554449 -0.0000000 7.9905334 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 15 -53.919510 2.5567625 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 16 -25.365140 2.4904221 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 17 -34.106911 3.0000773 0.42970411 -0.0000000 9.0979499 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 18 -38.833637 3.8287636 0.34609653 0.39900079 9.3897065 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 19 -22.652399 2.5332033 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 20 -38.387179 2.6412802 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 21 -20.664144 3.2039343 0.97091808 -0.0000000 6.8252979 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 22 -16.491079 2.4641997 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 23 -15.382006 2.8231693 0.62445770 -0.0000000 8.7472242 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 24 -15.747364 2.6646125 11.014040 0.0000000 268095.24 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 25 -14.737673 2.4011958 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 26 -17.866221 3.4242862 1.0257085 -0.0000000 7.3004495 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 27 -21.844420 2.8333532 0.35789868 -0.0000000 9.3939667 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 28 -33.146947 2.8009270 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 29 -36.524510 4.2242654 1.3014403 1.5447345 7.7343158 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 30 -35.439632 2.8752524 0.47213931 -0.0000000 9.6936315 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 31 -32.002050 2.7025412 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 32 -45.985284 2.5826041 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 33 -35.055539 3.7072128 0.41624000 -0.0000000 8.1517962 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 34 -28.519308 3.0926066 0.82111402 -0.0000000 9.4583470 1 . 311 320 0.264 . 312 320 0.123 . 313 320 0.123 . 314 320 0.132 . 315 320 0.120 . 316 320 0.124 . 317 320 0.128 . 318 320 0.114 . 319 320 0.082 FITARCIMAGE_GLOBAL: r2: Discarding trace 0, at 5852.4880 with 40 centroids too close to an edge FITARCIMAGE_GLOBAL: r2: Line 1, at 5881.8950 Ang: ERR= 0.00977845 ERR_RMS= 0.000660416 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 2, at 5944.8340 Ang: ERR= 0.00704910 ERR_RMS= 0.000532903 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 3, at 6029.9970 Ang: ERR= 0.0118890 ERR_RMS= 0.000745805 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 4, at 6074.3380 Ang: ERR= 0.00554190 ERR_RMS= 0.0226269 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 5, at 6096.1630 Ang: ERR= 0.00451521 ERR_RMS= 0.0101243 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 6, at 6143.0630 Ang: ERR= 0.00367710 ERR_RMS= 0.0116809 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 7, at 6163.5940 Ang: ERR= 0.00679994 ERR_RMS= 0.000382902 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 8, at 6217.2810 Ang: ERR= 0.00811981 ERR_RMS= 0.000459582 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 9, at 6266.4950 Ang: ERR= 0.00438160 ERR_RMS= 0.000209173 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 10, at 6304.7890 Ang: ERR= 0.00729143 ERR_RMS= 0.000409010 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 11, at 6334.4280 Ang: ERR= 0.00375005 ERR_RMS= 0.0140917 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 12, at 6382.9920 Ang: ERR= 0.00356444 ERR_RMS= 0.0127324 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 13, at 6402.2460 Ang: ERR= 0.00230687 ERR_RMS= 0.0146693 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 14, at 6506.5280 Ang: ERR= 0.00312060 ERR_RMS= 0.0123731 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 15, at 6532.8820 Ang: ERR= 0.00607552 ERR_RMS= 0.000340754 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 16, at 6598.9530 Ang: ERR= 0.00478948 ERR_RMS= 0.000244548 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 17, at 6717.0430 Ang: ERR= 0.00445569 ERR_RMS= 0.000221794 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 18, at 6929.4670 Ang: ERR= 0.00381208 ERR_RMS= 0.000175829 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 19, at 7173.9380 Ang: ERR= 0.00839844 ERR_RMS= 0.000464648 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 20, at 7245.1670 Ang: ERR= 0.00409140 ERR_RMS= 0.0169571 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 21, at 7438.9000 Ang: ERR= 0.00798678 ERR_RMS= 0.000391688 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 22, at 7488.8710 Ang: ERR= 0.0149512 ERR_RMS= 0.00106806 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 23, at 7535.7740 Ang: ERR= 0.0175040 ERR_RMS= 0.00109492 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 24, at 7635.1060 Ang: ERR= 0.0320873 ERR_RMS= 0.00226296 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 25, at 8014.7860 Ang: ERR= 0.0799248 ERR_RMS= 0.0108838 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 26, at 8103.6930 Ang: ERR= 0.0591808 ERR_RMS= 0.00684390 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 27, at 8300.3260 Ang: ERR= 0.0245062 ERR_RMS= 0.00177120 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 28, at 8377.6065 Ang: ERR= 0.00939741 ERR_RMS= 0.000551011 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 29, at 8495.3598 Ang: ERR= 0.0133518 ERR_RMS= 0.000890743 pix, 9 masked. FITARCIMAGE_GLOBAL: r2: Line 30, at 8591.2583 Ang: ERR= 0.0254988 ERR_RMS= 0.00204208 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 31, at 8634.6470 Ang: ERR= 0.0277304 ERR_RMS= 0.00224104 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 32, at 8654.3831 Ang: ERR= 0.0174339 ERR_RMS= 0.00127495 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 33, at 8853.8670 Ang: ERR= 0.0397420 ERR_RMS= 0.00348287 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 34, at 9122.9674 Ang: ERR= 0.0915725 ERR_RMS= 0.0157745 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Number of good arc lines: 34 FITARCIMAGE_GLOBAL: r2: Number of arclines = 34 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 1 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 1 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 1 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 1 44 34 0 45 34 0 46 34 1 47 34 0 48 34 0 49 34 1 50 34 0 51 34 1 52 34 0 53 34 0 54 34 6 55 34 3 56 34 1 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 1 65 34 0 66 34 1 67 34 0 68 34 0 69 34 1 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 1 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 1 83 34 0 84 34 0 85 34 1 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 1 113 34 1 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 1 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 1 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 1 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 1 167 34 0 168 34 0 169 34 1 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 6 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 1 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 1 224 34 5 225 34 0 226 34 0 227 34 0 228 34 3 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 34 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 1 257 34 0 258 34 0 259 34 0 260 34 1 261 34 0 262 34 0 263 34 29 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 10 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 31 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 33 312 34 1 313 34 0 314 34 0 315 34 0 316 34 0 317 34 1 318 34 4 319 34 14 XY2TRACESET: r2: Total rejected = 205 Pass 1 complete FITARCIMAGE_GLOBAL: r2: Number of arclines after bundle test = 34 FITARCLINES: r2: ncoeffs (x,y): 4 5 FITARCLINES: r2: errored out 2 fibers: 241 311 FITARCLINES: r2: fit rchi2: 0.061585539 FITARCLINES: r2: offset stddev: 320 2.7867075e-13 FITARCLINES: r2: scale stddev: 320 6.7385423e-13 FITARCLINES: r2: poly x,y,stddev: 0 0 5.7736998e-07 FITARCLINES: r2: poly x,y,stddev: 1 0 1.7353908e-06 FITARCLINES: r2: poly x,y,stddev: 2 0 1.3918746e-06 FITARCLINES: r2: poly x,y,stddev: 3 0 2.7843618e-06 FITARCLINES: r2: poly x,y,stddev: 0 1 4.0829481e-07 FITARCLINES: r2: poly x,y,stddev: 1 1 1.2317411e-06 FITARCLINES: r2: poly x,y,stddev: 2 1 9.8977582e-07 FITARCLINES: r2: poly x,y,stddev: 3 1 1.9795772e-06 FITARCLINES: r2: poly x,y,stddev: 0 2 2.7064112e-07 FITARCLINES: r2: poly x,y,stddev: 1 2 8.0369887e-07 FITARCLINES: r2: poly x,y,stddev: 2 2 6.3474135e-07 FITARCLINES: r2: poly x,y,stddev: 3 2 1.2740659e-06 FITARCLINES: r2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: r2: IVAR=0 centroids masked: 182 Final arcfit complete FITARCIMAGE_GLOBAL: r2: Time 181. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 3 1.00 6.86 .0001 2 1.00 7.25 .0002 2 1.00 8.79 .0003 3 1.00 7.70 .0004 3 1.00 7.42 .0005 2 1.00 8.51 .0006 2 1.00 7.36 .0007 3 1.00 6.49 .0008 3 1.00 7.77 .0009 3 1.00 8.09 .0010 2 1.00 7.19 .0011 2 1.00 7.13 .0012 2 1.00 7.83 .0013 3 1.00 6.80 .0014 3 1.00 7.31 .0015 2 1.00 7.30 .0016 2 1.00 7.89 .0017 2 1.00 8.16 .0018 3 1.00 7.87 .0019 3 1.00 6.03 .0020 3 1.00 7.45 .0021 2 1.00 8.02 .0022 2 1.00 8.43 .0023 2 1.00 7.49 .0024 3 1.00 7.62 .0025 3 1.00 8.17 .0026 3 1.00 7.71 .0027 3 1.00 7.91 .0028 2 1.00 8.36 .0029 2 1.00 8.46 .0030 3 1.00 6.99 .0031 3 1.00 7.01 .0032 3 1.00 8.00 .0033 2 1.00 6.97 .0034 3 1.00 8.15 .0035 2 1.00 9.11 .0036 3 1.00 7.77 .0037 3 1.00 7.56 .0038 2 1.00 9.18 .0039 2 1.00 8.65 .0040 3 1.00 8.93 .0041 1 1.00 11.05 .0042 3 1.00 7.16 .0043 2 1.00 8.35 .0044 2 1.00 8.27 .0045 1 1.00 9.78 .0046 2 1.00 7.07 .0047 3 1.00 8.47 .0048 3 1.00 6.77 .0049 1 1.00 11.76 .0050 1 1.00 10.54 .0051 2 1.00 10.15 .0052 2 1.00 10.22 .0053 2 1.00 8.27 .0054 3 1.00 6.03 .0055 3 1.00 8.67 .0056 2 1.00 9.76 .0057 3 1.00 8.37 .0058 2 1.00 9.56 .0059 3 1.00 7.80 .0060 2 1.00 7.56 .0061 3 1.00 6.73 .0062 3 1.00 7.44 .0063 3 1.00 8.02 .0064 2 1.00 7.97 .0065 2 1.00 7.53 .0066 2 1.00 9.04 .0067 2 1.00 8.51 .0068 4 1.00 6.00 .0069 2 1.00 6.71 .0070 4 1.00 7.03 .0071 2 1.00 9.08 .0072 2 1.00 9.13 .0073 2 1.00 8.81 .0074 3 1.00 8.28 .0075 3 1.00 7.52 .0076 1 1.00 10.98 .0077 2 1.00 8.35 .0078 2 1.00 8.79 .0079 2 1.00 8.55 .0080 2 1.00 7.42 .0081 3 1.00 8.04 .0082 3 1.00 6.62 .0083 3 1.00 8.30 .0084 3 1.00 6.10 .0085 2 1.00 7.98 .0086 2 1.00 6.67 .0087 2 1.00 8.94 .0088 2 1.00 7.27 .0089 2 1.00 7.03 .0090 1 1.00 9.12 .0091 4 1.00 5.87 .0092 3 1.00 7.21 .0093 3 1.00 6.80 .0094 2 1.00 7.71 .0095 2 1.00 7.56 .0096 3 1.00 6.72 .0097 3 1.00 7.86 .0098 3 1.00 6.98 .0099 3 1.00 7.49 .0100 4 1.00 6.78 .0101 2 1.00 8.42 .0102 2 1.00 8.22 .0103 2 1.00 8.09 .0104 2 1.00 7.71 .0105 3 1.00 7.56 .0106 4 1.00 6.34 .0107 3 1.00 6.44 .0108 4 1.00 6.97 .0109 3 1.00 7.79 .0110 3 1.00 7.29 .0111 2 1.00 7.77 .0112 2 1.00 7.28 .0113 2 1.00 6.27 .0114 3 1.00 7.21 .0115 3 1.00 7.24 .0116 3 1.00 7.88 .0117 3 1.00 7.68 .0118 4 1.00 5.61 .0119 2 1.00 7.48 .0120 3 1.00 6.80 .0121 3 1.00 6.00 .0122 2 1.00 6.66 .0123 3 1.00 6.42 .0124 2 1.00 7.10 .0125 2 1.00 7.21 .0126 3 1.00 5.87 .0127 3 1.00 6.43 .0128 3 1.00 6.72 .0129 3 1.00 5.99 .0130 3 1.00 6.33 .0131 3 1.00 6.60 .0132 2 1.00 8.28 .0133 2 1.00 8.07 .0134 2 1.00 8.23 .0135 2 1.00 8.99 .0136 2 1.00 6.19 .0137 3 1.00 6.77 .0138 3 1.00 7.26 .0139 3 1.00 6.59 .0140 3 1.00 6.88 .0141 3 1.00 8.22 .0142 3 1.00 8.51 .0143 2 1.00 9.16 .0144 2 1.00 9.30 .0145 3 1.00 8.70 .0146 2 1.00 7.06 .0147 3 1.00 7.10 .0148 4 1.00 7.14 .0149 3 1.00 6.72 .0150 3 1.00 7.42 .0151 3 1.00 8.73 .0152 3 1.00 8.23 .0153 2 1.00 10.14 .0154 3 1.00 8.69 .0155 3 1.00 8.33 .0156 2 1.00 10.86 .0157 2 1.00 10.39 .0158 2 1.00 9.96 .0159 2 1.00 9.55 .0160 2 1.00 8.03 .0161 2 1.00 9.23 .0162 2 1.00 7.69 .0163 2 1.00 8.69 .0164 5 1.00 6.66 .0165 3 1.00 7.52 .0166 3 1.00 8.65 .0167 3 1.00 8.96 .0168 3 1.00 7.22 .0169 1 1.00 9.11 .0170 3 1.00 7.78 .0171 3 1.00 7.97 .0172 2 1.00 9.12 .0173 2 1.00 10.49 .0174 2 1.00 8.77 .0175 1 1.00 11.81 .0176 2 1.00 10.27 .0177 2 1.00 9.01 .0178 2 1.00 8.27 .0179 3 1.00 7.14 .0180 3 1.00 7.68 .0181 4 1.00 8.30 .0182 4 1.00 7.17 .0183 2 1.00 8.89 .0184 3 1.00 7.67 .0185 1 1.00 10.35 .0186 3 1.00 7.54 .0187 3 1.00 5.79 .0188 3 1.00 7.29 .0189 3 1.00 8.16 .0190 4 1.00 6.61 .0191 3 1.00 7.75 .0192 4 1.00 8.36 .0193 3 1.00 8.14 .0194 3 1.00 7.22 .0195 2 1.00 8.90 .0196 3 1.00 7.27 .0197 3 1.00 8.28 .0198 2 1.00 8.01 .0199 3 1.00 7.65 .0200 3 1.00 6.81 .0201 3 1.00 6.16 .0202 2 1.00 7.48 .0203 2 1.00 5.83 .0204 2 1.00 6.39 .0205 2 1.00 6.31 .0206 2 1.00 6.47 .0207 2 1.00 7.54 .0208 3 1.00 6.59 .0209 2 1.00 9.01 .0210 2 1.00 8.78 .0211 2 1.00 8.98 .0212 2 1.00 8.51 .0213 2 1.00 8.50 .0214 2 1.00 8.31 .0215 2 1.00 9.01 .0216 3 1.00 8.35 .0217 3 1.00 8.63 .0218 3 1.00 8.20 .0219 2 1.00 9.57 .0220 2 1.00 7.31 .0221 3 1.00 7.24 .0222 2 1.00 8.08 .0223 3 1.00 6.65 .0224 1 1.00 7.51 .0225 3 1.00 7.34 .0226 3 1.00 6.53 .0227 2 1.00 7.70 .0228 3 1.00 6.20 .0229 2 1.00 8.32 .0230 2 1.00 8.61 .0231 2 1.00 8.69 .0232 2 1.00 8.88 .0233 2 1.00 7.69 .0234 1 1.00 10.07 .0235 1 1.00 11.73 .0236 1 1.00 10.16 .0237 3 1.00 8.36 .0238 3 1.00 7.44 .0239 1 1.00 10.76 .0240 3 1.00 6.57 .0241 1 1.00 0.95 .0242 3 1.00 6.76 .0243 2 1.00 8.55 .0244 2 1.00 7.56 .0245 2 1.00 8.31 .0246 2 1.00 7.48 .0247 2 1.00 7.37 .0248 3 1.00 7.37 .0249 2 1.00 6.99 .0250 2 1.00 8.29 .0251 2 1.00 7.74 .0252 2 1.00 6.36 .0253 2 1.00 8.42 .0254 2 1.00 7.57 .0255 2 1.00 8.05 .0256 2 1.00 7.87 .0257 2 1.00 8.04 .0258 4 1.00 7.10 .0259 3 1.00 6.51 .0260 3 1.00 5.58 .0261 1 1.00 7.11 .0262 3 1.00 7.06 .0263 1 1.00 0.82 .0264 3 1.00 7.14 .0265 3 1.00 7.92 .0266 3 1.00 7.01 .0267 2 1.00 7.30 .0268 3 1.00 6.31 .0269 4 1.00 6.29 .0270 2 1.00 6.94 .0271 3 1.00 7.53 .0272 3 1.00 7.70 .0273 3 1.00 7.23 .0274 5 1.00 5.68 .0275 4 1.00 6.57 .0276 1 1.00 6.81 .0277 4 1.00 6.98 .0278 2 1.00 7.28 .0279 2 1.00 7.46 .0280 3 1.00 7.26 .0281 3 1.00 6.81 .0282 2 1.00 8.88 .0283 3 1.00 7.92 .0284 3 1.00 7.71 .0285 2 1.00 8.01 .0286 3 1.00 6.81 .0287 3 1.00 6.57 .0288 3 1.00 5.58 .0289 2 1.00 7.61 .0290 2 1.00 7.89 .0291 2 1.00 6.84 .0292 1 1.00 0.90 .0293 2 1.00 7.24 .0294 3 1.00 6.56 .0295 2 1.00 7.71 .0296 2 1.00 6.19 .0297 2 1.00 8.10 .0298 2 1.00 7.42 .0299 5 1.00 5.53 .0300 3 1.00 6.70 .0301 3 1.00 6.65 .0302 3 1.00 6.13 .0303 3 1.00 6.39 .0304 3 1.00 5.92 .0305 3 1.00 6.62 .0306 3 1.00 6.02 .0307 3 1.00 6.40 .0308 3 1.00 5.95 .0309 2 1.00 6.90 .0310 2 1.00 7.10 .0311 2 1.00 1.14 .0312 2 1.00 6.42 .0313 2 1.00 6.39 .0314 2 1.00 8.22 .0315 2 1.00 7.31 .0316 3 1.00 6.64 .0317 2 1.00 8.15 .0318 4 1.00 5.78 .0319 3 1.00 2.83 EXTRACT_IMAGE: r2: masked 583 pixels TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: r2: Total rejected = 0 FITDISPERSION: r2: Median wavelength widths = 0.87 0.87 0.80 0.78 pix (LL LR UL UR) SPCALIB: r2: Create fiberflats for flat # 1 of 2 SPCALIB: r2: Flat sdR-r2-00034585.fit paired with arc sdR-r2-00034586.fit SPCALIB: r2: Reading flat sdR-r2-00034585.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.35736 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 481.337 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 460. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.69394 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1294.52 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1274. DN is 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.94 0.00 .0001 0 0.94 0.00 .0002 0 0.94 0.00 .0003 1 0.94 4.30 .0004 3 0.94 3.60 .0005 2 0.94 3.60 .0006 1 0.94 3.46 .0007 2 0.94 3.85 .0008 2 0.94 3.98 .0009 2 0.94 3.72 .0010 1 0.94 3.59 .0011 1 0.94 3.48 .0012 1 0.94 3.78 .0013 2 0.94 3.51 .0014 1 0.94 3.54 .0015 1 0.94 3.78 .0016 2 0.94 3.05 .0017 1 0.94 3.70 .0018 3 0.94 3.26 .0019 2 0.94 3.90 .0020 1 0.94 4.19 .0021 2 0.94 3.36 .0022 2 0.94 3.07 .0023 2 0.94 3.14 .0024 2 0.94 3.38 .0025 2 0.94 3.22 .0026 2 0.94 3.29 .0027 2 0.94 3.25 .0028 2 0.94 3.33 .0029 2 0.94 3.11 .0030 2 0.94 3.06 .0031 2 0.94 3.20 .0032 2 0.94 3.18 .0033 2 0.94 3.04 .0034 2 0.94 3.10 .0035 2 0.94 3.15 .0036 2 0.94 3.15 .0037 2 0.94 3.16 .0038 2 0.94 3.08 .0039 2 0.94 3.12 .0040 2 0.94 3.06 .0041 2 0.94 3.15 .0042 2 0.94 3.17 .0043 2 0.94 3.08 .0044 2 0.94 3.22 .0045 2 0.94 3.08 .0046 2 0.94 3.00 .0047 2 0.94 3.06 .0048 2 0.94 3.14 .0049 2 0.94 3.02 .0050 2 0.94 3.17 .0051 2 0.94 3.12 .0052 2 0.94 3.23 .0053 2 0.94 3.12 .0054 2 0.94 3.02 .0055 2 0.94 3.18 .0056 2 0.94 3.16 .0057 2 0.94 3.20 .0058 2 0.94 3.12 .0059 2 0.94 3.18 .0060 2 0.94 3.07 .0061 2 0.94 2.96 .0062 2 0.94 3.05 .0063 2 0.94 3.09 .0064 2 0.94 3.03 .0065 2 0.94 3.07 .0066 2 0.94 2.92 .0067 2 0.94 3.08 .0068 2 0.94 3.09 .0069 2 0.94 3.01 .0070 2 0.94 3.30 .0071 2 0.94 4.36 .0072 2 0.94 3.18 .0073 2 0.94 3.01 .0074 2 0.94 2.99 .0075 2 0.94 3.18 .0076 2 0.94 3.18 .0077 2 0.94 3.23 .0078 3 0.94 3.20 .0079 2 0.94 3.18 .0080 2 0.94 3.33 .0081 2 0.94 3.24 .0082 2 0.94 3.09 .0083 2 0.94 3.27 .0084 2 0.94 3.22 .0085 2 0.94 3.39 .0086 2 0.94 3.27 .0087 2 0.94 3.34 .0088 2 0.94 3.43 .0089 2 0.94 3.03 .0090 2 0.94 3.15 .0091 2 0.94 3.02 .0092 2 0.94 3.16 .0093 2 0.94 3.21 .0094 2 0.94 3.13 .0095 2 0.94 3.01 .0096 2 0.94 3.31 .0097 2 0.94 3.40 .0098 2 0.94 3.24 .0099 2 0.94 3.04 .0100 2 0.94 3.30 .0101 2 0.94 3.20 .0102 2 0.94 3.27 .0103 2 0.94 3.27 .0104 2 0.94 3.27 .0105 2 0.94 3.11 .0106 2 0.94 3.17 .0107 2 0.94 3.36 .0108 2 0.94 3.13 .0109 2 0.94 3.19 .0110 2 0.94 3.20 .0111 2 0.94 3.40 .0112 2 0.94 3.38 .0113 2 0.94 3.41 .0114 2 0.94 3.43 .0115 2 0.94 3.34 .0116 2 0.94 3.52 .0117 2 0.94 3.81 .0118 2 0.94 3.59 .0119 2 0.94 3.40 .0120 2 0.94 3.54 .0121 2 0.94 3.48 .0122 2 0.94 3.44 .0123 2 0.94 3.41 .0124 2 0.94 3.60 .0125 2 0.94 3.44 .0126 2 0.94 3.59 .0127 2 0.94 3.54 .0128 2 0.94 3.54 .0129 2 0.94 3.63 .0130 2 0.94 3.75 .0131 2 0.94 3.58 .0132 2 0.94 3.67 .0133 2 0.94 3.60 .0134 2 0.94 3.74 .0135 2 0.94 3.83 .0136 2 0.94 3.78 .0137 2 0.94 3.80 .0138 2 0.94 3.82 .0139 2 0.94 3.77 .0140 2 0.94 3.78 .0141 2 0.94 3.93 .0142 2 0.94 3.85 .0143 2 0.94 4.13 .0144 2 0.94 4.04 .0145 2 0.94 3.98 .0146 2 0.94 4.31 .0147 2 0.94 3.95 .0148 2 0.94 3.88 .0149 2 0.94 4.48 .0150 2 0.94 4.00 .0151 2 0.94 4.30 .0152 2 0.94 4.73 .0153 2 0.94 4.08 .0154 2 0.94 4.28 .0155 2 0.94 4.20 .0156 2 0.94 3.95 .0157 2 0.94 4.10 .0158 2 0.94 4.44 .0159 2 0.94 4.24 .0160 2 0.94 4.07 .0161 2 0.94 4.23 .0162 2 0.94 4.14 .0163 2 0.94 4.19 .0164 2 0.94 4.24 .0165 2 0.94 4.26 .0166 2 0.94 4.42 .0167 2 0.94 4.36 .0168 2 0.94 4.22 .0169 2 0.94 4.37 .0170 2 0.94 4.49 .0171 2 0.94 4.37 .0172 2 0.94 4.35 .0173 2 0.94 4.47 .0174 2 0.94 4.18 .0175 2 0.94 4.18 .0176 2 0.94 4.35 .0177 2 0.94 4.42 .0178 2 0.94 4.32 .0179 2 0.94 4.13 .0180 2 0.94 4.28 .0181 2 0.94 4.26 .0182 2 0.94 4.31 .0183 2 0.94 4.04 .0184 2 0.94 4.35 .0185 2 0.94 4.15 .0186 2 0.94 4.33 .0187 2 0.94 4.22 .0188 2 0.94 4.24 .0189 2 0.94 4.19 .0190 1 0.94 4.69 .0191 1 0.94 4.66 .0192 2 0.94 3.97 .0193 1 0.94 4.61 .0194 1 0.94 4.44 .0195 1 0.94 4.46 .0196 1 0.94 5.11 .0197 1 0.94 4.38 .0198 1 0.94 4.51 .0199 1 0.94 4.38 .0200 1 0.94 4.27 .0201 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0.92 5.59 .1811 1 0.92 5.87 .1812 1 0.92 5.66 .1813 1 0.92 5.57 .1814 1 0.92 6.05 .1815 1 0.92 6.51 .1816 1 0.92 6.23 .1817 1 0.92 5.70 .1818 1 0.92 6.08 .1819 1 0.92 5.93 .1820 1 0.92 5.88 .1821 1 0.92 5.89 .1822 1 0.92 6.05 .1823 1 0.92 6.08 .1824 1 0.92 5.81 .1825 1 0.92 5.83 .1826 1 0.92 5.94 .1827 1 0.92 5.75 .1828 1 0.92 5.98 .1829 1 0.92 5.82 .1830 1 0.92 5.80 .1831 1 0.92 5.99 .1832 1 0.92 5.75 .1833 1 0.92 6.02 .1834 1 0.92 6.31 .1835 1 0.92 6.01 .1836 1 0.92 6.12 .1837 1 0.92 5.84 .1838 1 0.92 6.09 .1839 1 0.92 6.00 .1840 1 0.92 5.95 .1841 1 0.92 5.76 .1842 1 0.92 5.85 .1843 1 0.92 5.95 .1844 1 0.92 5.94 .1845 1 0.92 5.74 .1846 1 0.92 6.02 .1847 1 0.92 6.01 .1848 1 0.92 5.90 .1849 1 0.92 5.74 .1850 1 0.92 6.18 .1851 1 0.92 6.29 .1852 1 0.92 5.87 .1853 1 0.92 5.89 .1854 1 0.92 6.10 .1855 1 0.92 6.49 .1856 1 0.92 6.03 .1857 1 0.92 6.25 .1858 1 0.92 6.02 .1859 1 0.92 6.35 .1860 1 0.92 6.39 .1861 1 0.92 6.34 .1862 1 0.92 6.46 .1863 1 0.92 6.29 .1864 1 0.92 6.01 .1865 1 0.92 6.10 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0.92 5.70 .1922 1 0.92 5.74 .1923 1 0.92 6.02 .1924 1 0.92 6.03 .1925 1 0.92 5.72 .1926 1 0.92 5.88 .1927 1 0.92 5.61 .1928 1 0.92 5.92 .1929 1 0.92 5.81 .1930 1 0.92 5.79 .1931 1 0.92 5.77 .1932 1 0.92 5.86 .1933 1 0.92 5.79 .1934 1 0.92 5.99 .1935 1 0.92 6.10 .1936 1 0.92 5.85 .1937 1 0.92 5.88 .1938 1 0.92 5.92 .1939 1 0.92 6.00 .1940 1 0.92 5.79 .1941 1 0.92 5.58 .1942 1 0.92 5.70 .1943 1 0.92 5.66 .1944 1 0.92 5.80 .1945 1 0.92 5.65 .1946 1 0.92 5.72 .1947 1 0.92 5.79 .1948 1 0.92 5.57 .1949 1 0.92 5.52 .1950 1 0.92 5.59 .1951 1 0.92 5.71 .1952 1 0.92 5.32 .1953 1 0.92 5.77 .1954 1 0.92 5.18 .1955 1 0.92 5.62 .1956 1 0.92 5.73 .1957 1 0.92 5.56 .1958 1 0.92 5.57 .1959 1 0.92 5.53 .1960 1 0.92 5.53 .1961 1 0.92 5.54 .1962 1 0.92 5.64 .1963 1 0.92 5.81 .1964 1 0.92 5.49 .1965 1 0.92 5.65 .1966 1 0.92 5.62 .1967 1 0.92 5.66 .1968 1 0.92 5.64 .1969 1 0.92 5.49 .1970 1 0.92 5.36 .1971 1 0.92 5.55 .1972 1 0.92 5.81 .1973 1 0.92 5.73 .1974 1 0.92 5.81 .1975 1 0.92 5.54 .1976 1 0.92 5.60 .1977 1 0.92 5.68 .1978 1 0.92 5.96 .1979 1 0.92 5.65 .1980 1 0.92 5.57 .1981 1 0.92 5.82 .1982 1 0.92 5.88 .1983 1 0.92 5.78 .1984 1 0.92 5.54 .1985 1 0.92 5.60 .1986 1 0.92 5.36 .1987 1 0.92 5.64 .1988 1 0.92 5.50 .1989 1 0.92 5.69 .1990 1 0.92 5.73 .1991 1 0.92 5.97 .1992 1 0.92 5.73 .1993 1 0.92 5.24 .1994 1 0.92 5.37 .1995 1 0.92 5.20 .1996 1 0.92 5.96 .1997 1 0.92 5.41 .1998 1 0.92 5.22 .1999 1 0.92 5.40 .2000 1 0.92 5.29 .2001 1 0.92 5.26 .2002 1 0.92 5.35 .2003 1 0.92 5.14 .2004 1 0.92 5.29 .2005 1 0.92 5.39 .2006 1 0.92 5.31 .2007 1 0.92 5.36 .2008 1 0.92 5.42 .2009 1 0.92 5.29 .2010 1 0.92 5.45 .2011 1 0.92 5.47 .2012 1 0.92 5.81 .2013 1 0.92 5.64 .2014 1 0.92 5.55 .2015 1 0.92 5.39 .2016 1 0.92 5.75 .2017 1 0.92 5.45 .2018 1 0.92 5.40 .2019 1 0.92 5.32 .2020 1 0.92 5.48 .2021 1 0.92 5.24 .2022 1 0.92 5.35 .2023 1 0.92 5.24 .2024 1 0.92 5.30 .2025 1 0.92 5.30 .2026 1 0.92 5.05 .2027 1 0.92 5.26 .2028 1 0.92 4.97 .2029 1 0.92 5.09 .2030 1 0.92 5.13 .2031 1 0.92 4.86 .2032 3 0.92 4.90 .2033 2 0.92 5.10 .2034 1 0.92 4.85 .2035 1 0.92 4.80 .2036 1 0.92 4.82 .2037 1 0.92 5.00 .2038 1 0.92 4.80 .2039 1 0.92 4.98 .2040 1 0.92 4.57 .2041 1 0.92 4.84 .2042 1 0.92 4.91 .2043 1 0.92 5.36 .2044 1 0.92 4.62 .2045 1 0.92 4.92 .2046 1 0.92 5.05 .2047 1 0.92 4.98 EXTRACT_IMAGE: r2: masked 466 pixels DOSCATTER: r2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r2: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r2: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.17 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.14 Step 28 of 2112 0.59 96 0.02 0.15 Step 36 of 2112 0.59 96 0.02 0.14 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.14 Step 60 of 2112 0.59 96 0.02 0.14 Step 68 of 2112 0.59 96 0.02 0.14 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.14 Step 100 of 2112 0.60 96 0.02 0.14 Step 108 of 2112 0.60 96 0.02 0.14 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.14 Step 132 of 2112 0.60 96 0.02 0.14 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.61 96 0.02 0.16 Step 172 of 2112 0.61 96 0.02 0.15 Step 180 of 2112 0.61 96 0.03 0.16 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.16 Step 204 of 2112 0.61 96 0.03 0.16 Step 212 of 2112 0.61 96 0.03 0.16 Step 220 of 2112 0.61 96 0.03 0.15 Step 228 of 2112 0.62 96 0.02 0.15 Step 236 of 2112 0.62 96 0.02 0.15 Step 244 of 2112 0.62 96 0.04 0.15 Step 252 of 2112 0.62 96 0.03 0.16 Step 260 of 2112 0.62 96 0.02 0.16 Step 268 of 2112 0.62 96 0.03 0.15 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.03 0.15 Step 292 of 2112 0.63 96 0.03 0.16 Step 300 of 2112 0.63 96 0.03 0.18 Step 308 of 2112 0.63 96 0.02 0.16 Step 316 of 2112 0.63 96 0.03 0.16 Step 324 of 2112 0.63 96 0.02 0.16 Step 332 of 2112 0.63 96 0.03 0.16 Step 340 of 2112 0.63 96 0.03 0.16 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.64 96 0.03 0.17 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.14 Step 396 of 2112 0.64 96 0.02 0.14 Step 404 of 2112 0.64 96 0.02 0.14 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.02 0.14 Step 428 of 2112 0.65 96 0.02 0.14 Step 436 of 2112 0.65 96 0.02 0.14 Step 444 of 2112 0.65 96 0.02 0.14 Step 452 of 2112 0.65 96 0.02 0.14 Step 460 of 2112 0.65 96 0.02 0.14 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.03 0.15 Step 484 of 2112 0.65 96 0.02 0.15 Step 492 of 2112 0.66 96 0.03 0.15 Step 500 of 2112 0.66 96 0.02 0.15 Step 508 of 2112 0.66 96 0.03 0.16 Step 516 of 2112 0.66 96 0.02 0.15 Step 524 of 2112 0.66 96 0.02 0.14 Step 532 of 2112 0.66 96 0.03 0.15 Step 540 of 2112 0.66 96 0.02 0.15 Step 548 of 2112 0.67 96 0.02 0.15 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.03 0.17 Step 572 of 2112 0.67 96 0.03 0.15 Step 580 of 2112 0.67 96 0.02 0.16 Step 588 of 2112 0.67 96 0.02 0.16 Step 596 of 2112 0.67 96 0.02 0.15 Step 604 of 2112 0.67 96 0.02 0.15 Step 612 of 2112 0.68 96 0.02 0.15 Step 620 of 2112 0.68 96 0.02 0.16 Step 628 of 2112 0.68 96 0.02 0.16 Step 636 of 2112 0.68 96 0.02 0.16 Step 644 of 2112 0.68 128 0.03 0.21 Step 652 of 2112 0.68 128 0.03 0.21 Step 660 of 2112 0.68 128 0.04 0.22 Step 668 of 2112 0.68 128 0.04 0.24 Step 676 of 2112 0.69 128 0.03 0.24 Step 684 of 2112 0.69 128 0.03 0.23 Step 692 of 2112 0.69 128 0.02 0.20 Step 700 of 2112 0.69 128 0.02 0.19 Step 708 of 2112 0.69 128 0.02 0.21 Step 716 of 2112 0.69 128 0.03 0.21 Step 724 of 2112 0.69 128 0.03 0.19 Step 732 of 2112 0.69 128 0.03 0.20 Step 740 of 2112 0.70 128 0.03 0.19 Step 748 of 2112 0.70 128 0.02 0.20 Step 756 of 2112 0.70 128 0.02 0.22 Step 764 of 2112 0.70 128 0.05 0.29 Step 772 of 2112 0.70 128 0.02 0.21 Step 780 of 2112 0.70 128 0.02 0.20 Step 788 of 2112 0.70 128 0.03 0.24 Step 796 of 2112 0.71 128 0.03 0.24 Step 804 of 2112 0.71 128 0.04 0.23 Step 812 of 2112 0.71 128 0.02 0.22 Step 820 of 2112 0.71 128 0.03 0.23 Step 828 of 2112 0.71 128 0.02 0.22 Step 836 of 2112 0.71 128 0.03 0.24 Step 844 of 2112 0.71 128 0.02 0.24 Step 852 of 2112 0.71 128 0.02 0.19 Step 860 of 2112 0.72 128 0.02 0.20 Step 868 of 2112 0.72 128 0.02 0.20 Step 876 of 2112 0.72 128 0.02 0.23 Step 884 of 2112 0.72 128 0.02 0.21 Step 892 of 2112 0.72 128 0.02 0.22 Step 900 of 2112 0.72 128 0.02 0.21 Step 908 of 2112 0.72 128 0.03 0.21 Step 916 of 2112 0.73 128 0.02 0.22 Step 924 of 2112 0.73 128 0.02 0.21 Step 932 of 2112 0.73 128 0.02 0.24 Step 940 of 2112 0.73 128 0.03 0.25 Step 948 of 2112 0.73 128 0.02 0.21 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.03 0.25 Step 972 of 2112 0.73 128 0.02 0.23 Step 980 of 2112 0.74 128 0.03 0.23 Step 988 of 2112 0.74 128 0.02 0.23 Step 996 of 2112 0.74 128 0.02 0.21 Step 1004 of 2112 0.74 128 0.02 0.22 Step 1012 of 2112 0.74 128 0.02 0.22 Step 1020 of 2112 0.74 128 0.03 0.21 Step 1028 of 2112 0.74 128 0.04 0.23 Step 1036 of 2112 0.75 128 0.03 0.22 Step 1044 of 2112 0.75 128 0.03 0.23 Step 1052 of 2112 0.75 128 0.03 0.21 Step 1060 of 2112 0.75 128 0.03 0.21 Step 1068 of 2112 0.75 128 0.03 0.20 Step 1076 of 2112 0.75 128 0.03 0.20 Step 1084 of 2112 0.75 128 0.03 0.21 Step 1092 of 2112 0.75 160 0.05 0.36 Step 1100 of 2112 0.76 160 0.03 0.34 Step 1108 of 2112 0.76 160 0.03 0.32 Step 1116 of 2112 0.76 160 0.04 0.32 Step 1124 of 2112 0.76 160 0.04 0.32 Step 1132 of 2112 0.76 160 0.04 0.33 Step 1140 of 2112 0.76 160 0.04 0.34 Step 1148 of 2112 0.76 160 0.03 0.33 Step 1156 of 2112 0.77 160 0.02 0.34 Step 1164 of 2112 0.77 160 0.03 0.34 Step 1172 of 2112 0.77 160 0.03 0.33 Step 1180 of 2112 0.77 160 0.04 0.35 Step 1188 of 2112 0.77 160 0.03 0.34 Step 1196 of 2112 0.77 160 0.03 0.34 Step 1204 of 2112 0.77 160 0.04 0.35 Step 1212 of 2112 0.78 160 0.04 0.35 Step 1220 of 2112 0.78 160 0.03 0.34 Step 1228 of 2112 0.78 160 0.04 0.36 Step 1236 of 2112 0.78 160 0.04 0.37 Step 1244 of 2112 0.78 160 0.03 0.33 Step 1252 of 2112 0.78 160 0.03 0.33 Step 1260 of 2112 0.78 160 0.03 0.34 Step 1268 of 2112 0.78 160 0.04 0.37 Step 1276 of 2112 0.79 160 0.04 0.37 Step 1284 of 2112 0.79 160 0.04 0.36 Step 1292 of 2112 0.79 160 0.05 0.41 Step 1300 of 2112 0.79 160 0.05 0.37 Step 1308 of 2112 0.79 160 0.03 0.34 Step 1316 of 2112 0.79 160 0.03 0.34 Step 1324 of 2112 0.79 160 0.03 0.33 Step 1332 of 2112 0.80 160 0.03 0.33 Step 1340 of 2112 0.80 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.33 Step 1356 of 2112 0.80 160 0.03 0.32 Step 1364 of 2112 0.80 160 0.03 0.32 Step 1372 of 2112 0.80 160 0.03 0.33 Step 1380 of 2112 0.80 160 0.03 0.32 Step 1388 of 2112 0.81 160 0.03 0.35 Step 1396 of 2112 0.81 160 0.03 0.33 Step 1404 of 2112 0.81 160 0.03 0.32 Step 1412 of 2112 0.81 160 0.03 0.32 Step 1420 of 2112 0.81 160 0.02 0.34 Step 1428 of 2112 0.81 160 0.02 0.33 Step 1436 of 2112 0.81 160 0.04 0.40 Step 1444 of 2112 0.82 160 0.03 0.33 Step 1452 of 2112 0.82 192 0.04 0.37 Step 1460 of 2112 0.82 192 0.04 0.37 Step 1468 of 2112 0.82 192 0.04 0.39 Step 1476 of 2112 0.82 192 0.03 0.37 Step 1484 of 2112 0.82 192 0.04 0.51 Step 1492 of 2112 0.82 192 0.05 0.51 Step 1500 of 2112 0.82 192 0.05 0.38 Step 1508 of 2112 0.83 192 0.04 0.37 Step 1516 of 2112 0.83 192 0.05 0.39 Step 1524 of 2112 0.83 192 0.04 0.36 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.04 0.37 Step 1548 of 2112 0.83 192 0.03 0.37 Step 1556 of 2112 0.83 192 0.03 0.38 Step 1564 of 2112 0.84 192 0.05 0.42 Step 1572 of 2112 0.84 192 0.05 0.39 Step 1580 of 2112 0.84 192 0.04 0.39 Step 1588 of 2112 0.84 192 0.04 0.39 Step 1596 of 2112 0.84 192 0.04 0.37 Step 1604 of 2112 0.84 192 0.04 0.40 Step 1612 of 2112 0.84 192 0.02 0.40 Step 1620 of 2112 0.85 192 0.03 0.36 Step 1628 of 2112 0.85 192 0.04 0.40 Step 1636 of 2112 0.85 192 0.04 0.38 Step 1644 of 2112 0.85 192 0.04 0.37 Step 1652 of 2112 0.85 192 0.04 0.39 Step 1660 of 2112 0.85 192 0.04 0.39 Step 1668 of 2112 0.85 192 0.04 0.37 Step 1676 of 2112 0.86 192 0.04 0.39 Step 1684 of 2112 0.86 192 0.04 0.38 Step 1692 of 2112 0.86 192 0.04 0.38 Step 1700 of 2112 0.86 192 0.04 0.37 Step 1708 of 2112 0.86 192 0.04 0.35 Step 1716 of 2112 0.86 192 0.04 0.38 Step 1724 of 2112 0.86 192 0.04 0.37 Step 1732 of 2112 0.87 192 0.04 0.38 Step 1740 of 2112 0.87 192 0.04 0.37 Step 1748 of 2112 0.87 224 0.03 0.50 Step 1756 of 2112 0.87 224 0.04 0.47 Step 1764 of 2112 0.87 224 0.05 0.49 Step 1772 of 2112 0.87 224 0.04 0.49 Step 1780 of 2112 0.87 224 0.06 0.52 Step 1788 of 2112 0.88 224 0.05 0.49 Step 1796 of 2112 0.88 224 0.05 0.47 Step 1804 of 2112 0.88 224 0.04 0.53 Step 1812 of 2112 0.88 224 0.04 0.47 Step 1820 of 2112 0.88 224 0.04 0.48 Step 1828 of 2112 0.88 224 0.04 0.50 Step 1836 of 2112 0.88 224 0.05 0.49 Step 1844 of 2112 0.89 224 0.05 0.46 Step 1852 of 2112 0.89 224 0.05 0.47 Step 1860 of 2112 0.89 224 0.06 0.49 Step 1868 of 2112 0.89 224 0.05 0.48 Step 1876 of 2112 0.89 224 0.05 0.47 Step 1884 of 2112 0.89 224 0.05 0.47 Step 1892 of 2112 0.89 224 0.05 0.47 Step 1900 of 2112 0.90 224 0.05 0.46 Step 1908 of 2112 0.90 224 0.05 0.48 Step 1916 of 2112 0.90 224 0.04 0.47 Step 1924 of 2112 0.90 224 0.03 0.49 Step 1932 of 2112 0.90 224 0.03 0.50 Step 1940 of 2112 0.90 224 0.04 0.49 Step 1948 of 2112 0.90 224 0.04 0.48 Step 1956 of 2112 0.91 224 0.04 0.48 Step 1964 of 2112 0.91 224 0.05 0.48 Step 1972 of 2112 0.91 224 0.04 0.49 Step 1980 of 2112 0.91 224 0.04 0.49 Step 1988 of 2112 0.91 224 0.05 0.48 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.05 0.52 Step 2012 of 2112 0.92 256 0.05 0.52 Step 2020 of 2112 0.92 256 0.05 0.53 Step 2028 of 2112 0.92 256 0.06 0.52 Step 2036 of 2112 0.92 256 0.05 0.52 Step 2044 of 2112 0.92 256 0.05 0.51 Step 2052 of 2112 0.92 256 0.05 0.50 Step 2060 of 2112 0.92 256 0.05 0.52 Step 2068 of 2112 0.93 256 0.05 0.53 Step 2076 of 2112 0.93 256 0.05 0.50 Step 2084 of 2112 0.93 256 0.06 0.52 Step 2092 of 2112 0.93 256 0.05 0.51 Step 2100 of 2112 0.93 256 0.05 0.50 Step 2108 of 2112 0.93 256 0.05 0.51 ROW NITER SIG(med) CHI^2 .0000 0 0.94 0.00 .0001 0 0.94 0.00 .0002 0 0.94 0.00 .0003 1 0.94 4.26 .0004 3 0.94 3.56 .0005 2 0.94 3.56 .0006 1 0.94 3.41 .0007 2 0.94 3.80 .0008 2 0.94 3.93 .0009 2 0.94 3.67 .0010 1 0.94 3.55 .0011 1 0.94 3.44 .0012 1 0.94 3.73 .0013 2 0.94 3.46 .0014 2 0.94 3.11 .0015 1 0.94 3.73 .0016 2 0.94 3.00 .0017 2 0.94 3.24 .0018 3 0.94 3.20 .0019 3 0.94 3.43 .0020 2 0.94 3.68 .0021 2 0.94 3.29 .0022 2 0.94 3.01 .0023 2 0.94 3.07 .0024 2 0.94 3.32 .0025 2 0.94 3.16 .0026 2 0.94 3.23 .0027 2 0.94 3.20 .0028 2 0.94 3.25 .0029 2 0.94 3.05 .0030 2 0.94 3.01 .0031 2 0.94 3.14 .0032 2 0.94 3.13 .0033 2 0.94 2.98 .0034 2 0.94 3.04 .0035 2 0.94 3.09 .0036 2 0.94 3.09 .0037 2 0.94 3.10 .0038 2 0.94 3.02 .0039 2 0.94 3.06 .0040 2 0.94 3.00 .0041 2 0.94 3.09 .0042 2 0.94 3.11 .0043 2 0.94 3.02 .0044 2 0.94 3.16 .0045 2 0.94 3.02 .0046 2 0.94 2.94 .0047 2 0.94 3.00 .0048 2 0.94 3.08 .0049 2 0.94 2.96 .0050 2 0.94 3.11 .0051 2 0.94 3.05 .0052 2 0.94 3.16 .0053 2 0.94 3.06 .0054 2 0.94 2.96 .0055 2 0.94 3.13 .0056 2 0.94 3.09 .0057 2 0.94 3.14 .0058 2 0.94 3.06 .0059 2 0.94 3.11 .0060 2 0.94 3.01 .0061 2 0.94 2.89 .0062 2 0.94 2.99 .0063 2 0.94 3.02 .0064 2 0.94 2.96 .0065 2 0.94 2.99 .0066 2 0.94 2.86 .0067 2 0.94 3.01 .0068 2 0.94 3.02 .0069 2 0.94 2.93 .0070 2 0.94 3.22 .0071 2 0.94 4.30 .0072 2 0.94 3.11 .0073 2 0.94 2.93 .0074 2 0.94 2.92 .0075 2 0.94 3.10 .0076 2 0.94 3.11 .0077 2 0.94 3.16 .0078 3 0.94 3.12 .0079 2 0.94 3.11 .0080 2 0.94 3.24 .0081 2 0.94 3.16 .0082 2 0.94 3.02 .0083 2 0.94 3.19 .0084 2 0.94 3.14 .0085 2 0.94 3.31 .0086 2 0.94 3.18 .0087 2 0.94 3.27 .0088 2 0.94 3.35 .0089 2 0.94 2.94 .0090 2 0.94 3.06 .0091 2 0.94 2.94 .0092 2 0.94 3.07 .0093 2 0.94 3.12 .0094 2 0.94 3.04 .0095 2 0.94 2.91 .0096 2 0.94 3.21 .0097 2 0.94 3.30 .0098 2 0.94 3.14 .0099 2 0.94 2.95 .0100 2 0.94 3.21 .0101 2 0.94 3.09 .0102 2 0.94 3.17 .0103 2 0.94 3.18 .0104 2 0.94 3.16 .0105 2 0.94 3.01 .0106 2 0.94 3.06 .0107 2 0.94 3.25 .0108 2 0.94 3.03 .0109 2 0.94 3.07 .0110 2 0.94 3.08 .0111 2 0.94 3.30 .0112 2 0.94 3.26 .0113 2 0.94 3.28 .0114 2 0.94 3.31 .0115 2 0.94 3.21 .0116 2 0.94 3.41 .0117 2 0.94 3.67 .0118 2 0.94 3.46 .0119 2 0.94 3.28 .0120 2 0.94 3.40 .0121 2 0.94 3.35 .0122 2 0.94 3.31 .0123 2 0.94 3.28 .0124 2 0.94 3.48 .0125 2 0.94 3.30 .0126 2 0.94 3.44 .0127 2 0.94 3.39 .0128 2 0.94 3.40 .0129 2 0.94 3.48 .0130 2 0.94 3.60 .0131 2 0.94 3.45 .0132 2 0.94 3.54 .0133 2 0.94 3.46 .0134 2 0.94 3.60 .0135 2 0.94 3.69 .0136 2 0.94 3.64 .0137 2 0.94 3.66 .0138 2 0.94 3.67 .0139 2 0.94 3.63 .0140 2 0.94 3.65 .0141 2 0.94 3.81 .0142 2 0.94 3.73 .0143 2 0.94 3.99 .0144 2 0.94 3.91 .0145 2 0.94 3.84 .0146 2 0.94 4.17 .0147 2 0.94 3.82 .0148 2 0.94 3.75 .0149 2 0.94 4.35 .0150 2 0.94 3.87 .0151 2 0.94 4.18 .0152 3 0.94 4.08 .0153 2 0.94 3.94 .0154 2 0.94 4.15 .0155 2 0.94 4.09 .0156 2 0.94 3.84 .0157 2 0.94 3.99 .0158 2 0.94 4.32 .0159 2 0.94 4.12 .0160 2 0.94 3.97 .0161 2 0.94 4.12 .0162 2 0.94 4.02 .0163 2 0.94 4.09 .0164 2 0.94 4.13 .0165 2 0.94 4.14 .0166 2 0.94 4.30 .0167 2 0.94 4.23 .0168 2 0.94 4.11 .0169 2 0.94 4.26 .0170 2 0.94 4.36 .0171 2 0.94 4.27 .0172 2 0.94 4.24 .0173 2 0.94 4.36 .0174 2 0.94 4.06 .0175 2 0.94 4.08 .0176 2 0.94 4.24 .0177 2 0.94 4.32 .0178 2 0.94 4.20 .0179 2 0.94 4.03 .0180 2 0.94 4.18 .0181 2 0.94 4.16 .0182 2 0.94 4.20 .0183 2 0.94 3.94 .0184 2 0.94 4.24 .0185 2 0.94 4.04 .0186 2 0.94 4.23 .0187 2 0.94 4.11 .0188 2 0.94 4.14 .0189 2 0.94 4.07 .0190 2 0.94 4.07 .0191 1 0.94 4.54 .0192 2 0.94 3.86 .0193 1 0.94 4.49 .0194 1 0.94 4.33 .0195 1 0.94 4.36 .0196 1 0.94 5.01 .0197 1 0.94 4.28 .0198 1 0.94 4.40 .0199 1 0.94 4.27 .0200 1 0.94 4.17 .0201 1 0.94 4.17 .0202 1 0.94 4.31 .0203 1 0.94 4.09 .0204 1 0.94 4.07 .0205 1 0.94 4.29 .0206 1 0.94 3.94 .0207 1 0.94 4.23 .0208 1 0.94 3.82 .0209 1 0.94 3.99 .0210 1 0.94 4.04 .0211 1 0.94 3.96 .0212 1 0.94 4.31 .0213 1 0.94 3.93 .0214 1 0.94 4.03 .0215 1 0.94 3.94 .0216 1 0.94 4.10 .0217 1 0.94 4.01 .0218 1 0.94 4.04 .0219 1 0.94 4.02 .0220 1 0.94 4.14 .0221 1 0.94 3.95 .0222 1 0.94 3.79 .0223 1 0.94 4.17 .0224 1 0.94 3.89 .0225 1 0.94 4.12 .0226 1 0.94 4.00 .0227 1 0.94 4.07 .0228 1 0.94 3.92 .0229 1 0.94 4.02 .0230 1 0.94 4.17 .0231 1 0.94 3.99 .0232 1 0.94 3.98 .0233 1 0.94 4.13 .0234 1 0.94 4.08 .0235 1 0.94 4.03 .0236 1 0.94 4.15 .0237 1 0.94 4.01 .0238 1 0.94 4.18 .0239 3 0.94 4.18 .0240 1 0.94 4.18 .0241 1 0.94 4.40 .0242 1 0.94 4.22 .0243 1 0.94 4.15 .0244 1 0.94 4.20 .0245 1 0.94 4.18 .0246 1 0.94 4.19 .0247 1 0.94 4.27 .0248 1 0.94 4.25 .0249 1 0.94 4.31 .0250 1 0.94 4.34 .0251 1 0.94 4.34 .0252 1 0.94 4.51 .0253 1 0.94 4.45 .0254 1 0.94 4.29 .0255 1 0.94 4.47 .0256 1 0.94 4.50 .0257 1 0.94 4.54 .0258 1 0.94 4.49 .0259 1 0.94 4.58 .0260 1 0.94 4.66 .0261 1 0.94 4.58 .0262 1 0.94 4.51 .0263 1 0.94 4.88 .0264 1 0.94 4.74 .0265 1 0.94 4.63 .0266 1 0.94 4.71 .0267 1 0.94 4.85 .0268 1 0.94 4.63 .0269 1 0.94 4.78 .0270 1 0.94 4.66 .0271 1 0.94 4.86 .0272 1 0.94 4.73 .0273 1 0.94 4.88 .0274 2 0.94 5.00 .0275 1 0.94 5.00 .0276 1 0.94 5.03 .0277 1 0.94 4.87 .0278 1 0.94 4.92 .0279 2 0.94 4.18 .0280 1 0.94 4.93 .0281 1 0.94 5.02 .0282 2 0.94 4.33 .0283 1 0.94 4.95 .0284 2 0.94 4.53 .0285 2 0.94 4.49 .0286 2 0.94 4.55 .0287 2 0.94 4.38 .0288 2 0.94 4.36 .0289 2 0.94 4.46 .0290 2 0.94 4.41 .0291 2 0.94 4.27 .0292 2 0.94 4.34 .0293 2 0.94 4.40 .0294 2 0.94 4.42 .0295 2 0.94 4.31 .0296 2 0.94 4.25 .0297 2 0.94 4.35 .0298 2 0.94 4.38 .0299 3 0.94 4.29 .0300 2 0.94 4.31 .0301 2 0.94 4.25 .0302 2 0.94 4.20 .0303 2 0.94 4.40 .0304 2 0.94 4.15 .0305 2 0.94 4.17 .0306 2 0.94 4.29 .0307 2 0.94 4.26 .0308 2 0.94 4.18 .0309 2 0.94 4.03 .0310 2 0.94 4.23 .0311 2 0.94 4.01 .0312 2 0.94 4.13 .0313 2 0.94 3.84 .0314 2 0.94 4.03 .0315 2 0.94 4.16 .0316 2 0.94 4.35 .0317 2 0.94 4.17 .0318 2 0.94 4.13 .0319 2 0.94 3.92 .0320 2 0.94 3.96 .0321 2 0.94 3.98 .0322 3 0.94 4.41 .0323 2 0.94 3.88 .0324 2 0.94 3.78 .0325 2 0.94 3.94 .0326 2 0.94 4.08 .0327 2 0.94 4.06 .0328 2 0.94 3.81 .0329 2 0.94 3.96 .0330 2 0.94 3.85 .0331 2 0.94 3.92 .0332 2 0.94 3.82 .0333 2 0.94 3.91 .0334 2 0.94 3.83 .0335 2 0.94 3.78 .0336 2 0.94 3.65 .0337 2 0.94 3.75 .0338 2 0.94 3.66 .0339 2 0.94 3.77 .0340 2 0.94 3.75 .0341 2 0.94 3.81 .0342 2 0.94 3.55 .0343 2 0.94 3.62 .0344 2 0.94 3.67 .0345 2 0.94 3.66 .0346 2 0.94 3.69 .0347 2 0.94 3.60 .0348 2 0.94 3.64 .0349 2 0.94 3.80 .0350 2 0.94 3.55 .0351 2 0.94 3.70 .0352 2 0.94 3.67 .0353 2 0.94 3.63 .0354 2 0.94 3.44 .0355 2 0.94 3.59 .0356 2 0.94 3.72 .0357 2 0.94 3.57 .0358 2 0.94 3.74 .0359 2 0.94 3.70 .0360 2 0.94 3.55 .0361 2 0.94 3.68 .0362 2 0.94 3.54 .0363 2 0.94 3.63 .0364 2 0.94 4.11 .0365 2 0.94 3.67 .0366 2 0.94 3.56 .0367 2 0.94 3.23 .0368 2 0.94 3.59 .0369 2 0.94 3.54 .0370 2 0.94 3.72 .0371 2 0.94 4.06 .0372 2 0.94 4.01 .0373 2 0.94 3.92 .0374 2 0.94 4.04 .0375 2 0.94 4.00 .0376 2 0.94 4.07 .0377 2 0.94 3.98 .0378 2 0.94 4.15 .0379 2 0.94 4.92 .0380 2 0.94 3.82 .0381 2 0.94 3.77 .0382 2 0.94 3.98 .0383 3 0.94 3.36 .0384 2 0.94 3.16 .0385 2 0.94 3.21 .0386 2 0.94 3.30 .0387 2 0.94 3.27 .0388 2 0.94 3.29 .0389 2 0.94 3.60 .0390 2 0.94 3.13 .0391 2 0.94 3.33 .0392 2 0.94 3.24 .0393 2 0.94 3.44 .0394 2 0.94 3.34 .0395 2 0.94 3.35 .0396 2 0.94 3.22 .0397 2 0.94 3.26 .0398 2 0.94 3.17 .0399 2 0.94 3.24 .0400 2 0.94 3.19 .0401 2 0.94 3.06 .0402 2 0.93 3.12 .0403 2 0.93 3.09 .0404 2 0.93 3.19 .0405 2 0.93 3.07 .0406 2 0.93 3.18 .0407 2 0.93 3.08 .0408 2 0.93 3.06 .0409 2 0.93 3.17 .0410 2 0.93 3.13 .0411 2 0.93 3.44 .0412 2 0.93 3.23 .0413 2 0.93 3.52 .0414 2 0.93 3.07 .0415 2 0.93 3.06 .0416 2 0.93 3.14 .0417 2 0.93 3.12 .0418 2 0.93 3.12 .0419 2 0.93 2.97 .0420 2 0.93 3.21 .0421 2 0.93 3.05 .0422 2 0.93 3.02 .0423 2 0.93 2.95 .0424 2 0.93 3.04 .0425 2 0.93 3.02 .0426 2 0.93 2.99 .0427 2 0.93 3.07 .0428 2 0.93 2.97 .0429 2 0.93 2.95 .0430 2 0.93 2.98 .0431 2 0.93 3.04 .0432 2 0.93 3.07 .0433 2 0.93 3.10 .0434 2 0.93 2.95 .0435 2 0.93 3.20 .0436 2 0.93 3.06 .0437 2 0.93 2.89 .0438 2 0.93 2.89 .0439 2 0.93 3.14 .0440 2 0.93 3.02 .0441 2 0.93 3.01 .0442 2 0.93 3.10 .0443 2 0.93 2.94 .0444 2 0.93 2.85 .0445 2 0.93 2.89 .0446 2 0.93 3.00 .0447 2 0.93 2.93 .0448 2 0.93 2.80 .0449 2 0.93 2.97 .0450 2 0.93 2.82 .0451 2 0.93 2.93 .0452 2 0.93 2.85 .0453 2 0.93 2.80 .0454 2 0.93 2.89 .0455 2 0.93 2.92 .0456 2 0.93 2.93 .0457 2 0.93 2.88 .0458 2 0.93 2.87 .0459 2 0.93 2.93 .0460 2 0.93 2.81 .0461 2 0.93 2.88 .0462 2 0.93 2.88 .0463 2 0.93 2.86 .0464 2 0.93 3.06 .0465 2 0.93 2.99 .0466 2 0.93 2.92 .0467 2 0.93 3.08 .0468 2 0.93 2.91 .0469 2 0.93 2.86 .0470 2 0.93 2.96 .0471 2 0.93 2.90 .0472 2 0.93 2.96 .0473 2 0.93 3.01 .0474 2 0.93 3.09 .0475 2 0.93 3.18 .0476 2 0.93 3.11 .0477 2 0.93 3.02 .0478 2 0.93 3.06 .0479 2 0.93 2.93 .0480 2 0.93 3.00 .0481 2 0.93 3.04 .0482 2 0.93 3.27 .0483 2 0.93 3.12 .0484 2 0.93 3.16 .0485 2 0.93 3.11 .0486 2 0.93 3.13 .0487 2 0.93 3.11 .0488 2 0.93 3.06 .0489 2 0.93 3.05 .0490 2 0.93 3.16 .0491 2 0.93 3.09 .0492 2 0.93 3.10 .0493 2 0.93 3.33 .0494 2 0.93 3.20 .0495 2 0.93 3.11 .0496 2 0.93 3.27 .0497 2 0.93 3.37 .0498 2 0.93 3.28 .0499 2 0.93 3.19 .0500 2 0.93 3.29 .0501 2 0.93 3.34 .0502 2 0.93 3.29 .0503 2 0.93 3.19 .0504 2 0.93 3.22 .0505 2 0.93 3.49 .0506 2 0.93 3.22 .0507 2 0.93 3.29 .0508 2 0.93 3.49 .0509 2 0.93 3.70 .0510 2 0.93 3.35 .0511 2 0.93 3.16 .0512 2 0.93 3.45 .0513 2 0.93 3.31 .0514 2 0.93 3.32 .0515 2 0.93 3.32 .0516 2 0.93 3.35 .0517 2 0.93 3.50 .0518 2 0.93 3.52 .0519 2 0.93 3.91 .0520 1 0.93 3.83 .0521 1 0.93 4.01 .0522 1 0.93 4.11 .0523 1 0.93 4.03 .0524 1 0.93 4.04 .0525 1 0.93 3.78 .0526 1 0.93 3.94 .0527 1 0.93 3.79 .0528 1 0.93 3.80 .0529 1 0.93 3.81 .0530 1 0.93 3.71 .0531 1 0.93 3.90 .0532 1 0.93 3.87 .0533 1 0.93 3.89 .0534 1 0.93 3.89 .0535 1 0.93 3.83 .0536 1 0.93 3.85 .0537 1 0.93 3.67 .0538 1 0.93 3.93 .0539 1 0.93 3.91 .0540 1 0.93 3.68 .0541 1 0.93 3.88 .0542 1 0.93 3.77 .0543 1 0.93 3.81 .0544 1 0.93 3.70 .0545 1 0.93 3.87 .0546 1 0.93 3.76 .0547 1 0.93 3.88 .0548 1 0.93 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0.92 3.65 .1770 1 0.92 3.94 .1771 1 0.92 3.83 .1772 1 0.92 3.79 .1773 1 0.92 3.89 .1774 1 0.92 3.99 .1775 1 0.92 3.98 .1776 1 0.92 4.03 .1777 1 0.92 4.07 .1778 1 0.92 3.93 .1779 1 0.92 3.96 .1780 1 0.92 4.14 .1781 1 0.92 3.83 .1782 1 0.92 3.91 .1783 1 0.92 3.87 .1784 1 0.92 3.91 .1785 1 0.92 4.04 .1786 1 0.92 4.13 .1787 1 0.92 3.99 .1788 1 0.92 3.97 .1789 1 0.92 4.08 .1790 1 0.92 4.25 .1791 1 0.92 3.88 .1792 1 0.92 4.09 .1793 1 0.92 4.07 .1794 1 0.92 3.88 .1795 1 0.92 4.03 .1796 1 0.92 3.81 .1797 1 0.92 3.93 .1798 1 0.92 3.93 .1799 1 0.92 3.88 .1800 1 0.92 3.95 .1801 1 0.92 4.10 .1802 1 0.92 4.37 .1803 1 0.92 4.18 .1804 1 0.92 4.05 .1805 1 0.92 4.16 .1806 1 0.92 4.11 .1807 1 0.92 4.00 .1808 1 0.92 3.88 .1809 1 0.92 4.10 .1810 1 0.92 4.04 .1811 1 0.92 4.27 .1812 1 0.92 4.06 .1813 1 0.92 4.05 .1814 1 0.92 4.38 .1815 2 0.92 4.09 .1816 1 0.92 4.60 .1817 1 0.92 4.03 .1818 1 0.92 4.48 .1819 1 0.92 4.29 .1820 1 0.92 4.15 .1821 1 0.92 4.20 .1822 1 0.92 4.33 .1823 1 0.92 4.43 .1824 1 0.92 4.11 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0.92 4.13 .1881 1 0.92 4.30 .1882 1 0.92 4.31 .1883 1 0.92 4.32 .1884 1 0.92 4.34 .1885 1 0.92 4.26 .1886 1 0.92 4.31 .1887 1 0.92 4.19 .1888 1 0.92 4.10 .1889 2 0.92 4.11 .1890 1 0.92 4.24 .1891 1 0.92 4.21 .1892 1 0.92 4.38 .1893 1 0.92 4.27 .1894 1 0.92 4.23 .1895 1 0.92 4.24 .1896 1 0.92 4.42 .1897 1 0.92 4.34 .1898 1 0.92 4.27 .1899 1 0.92 4.30 .1900 1 0.92 4.18 .1901 1 0.92 4.21 .1902 1 0.92 4.22 .1903 1 0.92 4.16 .1904 1 0.92 4.44 .1905 1 0.92 4.45 .1906 1 0.92 4.30 .1907 1 0.92 4.14 .1908 1 0.92 3.97 .1909 1 0.92 4.22 .1910 1 0.92 4.16 .1911 1 0.92 4.14 .1912 1 0.92 4.13 .1913 1 0.92 4.10 .1914 1 0.92 4.05 .1915 1 0.92 4.06 .1916 1 0.92 4.16 .1917 1 0.92 4.26 .1918 1 0.92 4.14 .1919 1 0.92 4.50 .1920 1 0.92 4.19 .1921 1 0.92 4.08 .1922 1 0.92 4.09 .1923 1 0.92 4.29 .1924 1 0.92 4.32 .1925 1 0.92 4.12 .1926 1 0.92 4.30 .1927 1 0.92 4.04 .1928 1 0.92 4.32 .1929 1 0.92 4.20 .1930 1 0.92 4.14 .1931 1 0.92 4.23 .1932 1 0.92 4.21 .1933 1 0.92 4.13 .1934 1 0.92 4.31 .1935 1 0.92 4.44 .1936 1 0.92 4.20 .1937 1 0.92 4.22 .1938 1 0.92 4.24 .1939 1 0.92 4.34 .1940 1 0.92 4.25 .1941 1 0.92 3.99 .1942 1 0.92 4.12 .1943 1 0.92 4.12 .1944 1 0.92 4.16 .1945 1 0.92 4.00 .1946 1 0.92 4.10 .1947 1 0.92 4.16 .1948 1 0.92 3.96 .1949 1 0.92 3.97 .1950 1 0.92 3.90 .1951 1 0.92 4.11 .1952 1 0.92 3.82 .1953 1 0.92 4.26 .1954 1 0.92 3.73 .1955 1 0.92 4.06 .1956 1 0.92 4.13 .1957 1 0.92 3.94 .1958 1 0.92 4.02 .1959 1 0.92 3.98 .1960 1 0.92 3.93 .1961 1 0.92 4.00 .1962 1 0.92 4.05 .1963 1 0.92 4.17 .1964 1 0.92 4.02 .1965 1 0.92 4.10 .1966 1 0.92 4.07 .1967 1 0.92 4.03 .1968 1 0.92 4.06 .1969 1 0.92 4.05 .1970 1 0.92 3.94 .1971 1 0.92 3.95 .1972 1 0.92 4.10 .1973 1 0.92 4.19 .1974 1 0.92 4.15 .1975 1 0.92 4.02 .1976 1 0.92 3.99 .1977 1 0.92 4.08 .1978 1 0.92 4.37 .1979 1 0.92 4.17 .1980 1 0.92 4.09 .1981 1 0.92 4.20 .1982 1 0.92 4.24 .1983 1 0.92 4.23 .1984 1 0.92 4.02 .1985 1 0.92 4.16 .1986 1 0.92 3.83 .1987 1 0.92 4.05 .1988 1 0.92 4.09 .1989 1 0.92 4.18 .1990 1 0.92 4.18 .1991 1 0.92 4.26 .1992 1 0.92 4.13 .1993 1 0.92 3.84 .1994 1 0.92 3.85 .1995 1 0.92 3.83 .1996 2 0.92 3.86 .1997 1 0.92 3.85 .1998 1 0.92 3.77 .1999 1 0.92 3.93 .2000 1 0.92 3.94 .2001 1 0.92 3.86 .2002 1 0.92 3.96 .2003 1 0.92 3.77 .2004 1 0.92 3.89 .2005 1 0.92 4.01 .2006 1 0.92 3.97 .2007 1 0.92 3.94 .2008 1 0.92 3.97 .2009 1 0.92 3.87 .2010 1 0.92 4.10 .2011 1 0.92 4.08 .2012 2 0.92 4.01 .2013 1 0.92 4.29 .2014 1 0.92 4.13 .2015 1 0.92 4.05 .2016 1 0.92 4.30 .2017 1 0.92 4.16 .2018 1 0.92 4.19 .2019 1 0.92 4.12 .2020 1 0.92 4.28 .2021 1 0.92 4.09 .2022 1 0.92 4.13 .2023 1 0.92 3.99 .2024 1 0.92 4.09 .2025 1 0.92 4.01 .2026 1 0.92 3.89 .2027 1 0.92 4.10 .2028 1 0.92 3.84 .2029 1 0.92 4.00 .2030 1 0.92 3.94 .2031 1 0.92 3.82 .2032 3 0.92 3.81 .2033 2 0.92 4.03 .2034 1 0.92 3.84 .2035 1 0.92 3.76 .2036 1 0.92 3.82 .2037 1 0.92 3.94 .2038 1 0.92 3.81 .2039 1 0.92 3.97 .2040 1 0.92 3.61 .2041 1 0.92 3.83 .2042 1 0.92 3.89 .2043 1 0.92 4.37 .2044 1 0.92 3.80 .2045 1 0.92 3.93 .2046 1 0.92 4.11 .2047 1 0.92 4.13 EXTRACT_IMAGE: r2: masked 486 pixels SPCALIB: r2: First extraction chi^2 0.00000 10.9066 SPCALIB: r2: Second extraction chi^2 0.00000 10.0936 SUPERFLAT: r2: Creating superflat from 305 fibers highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212highest breakpoint does not cover highest x value, changing .0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r2: Number of fiberflat points LE 0 = 12975 SPCALIB: r2: Create fiberflats for flat # 2 of 2 SPCALIB: r2: Flat sdR-r2-00034591.fit paired with arc sdR-r2-00034592.fit SPCALIB: r2: Reading flat sdR-r2-00034591.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.59716 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 482.508 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 461. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.71185 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1292.28 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1272. DN is 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 3.38 .0004 1 0.95 3.45 .0005 1 0.95 3.49 .0006 1 0.95 3.50 .0007 1 0.95 3.52 .0008 1 0.95 3.44 .0009 1 0.95 3.58 .0010 1 0.95 3.40 .0011 1 0.95 3.50 .0012 2 0.95 3.15 .0013 3 0.95 3.09 .0014 1 0.95 4.35 .0015 2 0.95 3.13 .0016 2 0.95 3.39 .0017 2 0.95 3.24 .0018 2 0.95 3.09 .0019 2 0.95 3.08 .0020 2 0.95 3.11 .0021 2 0.95 3.29 .0022 2 0.95 3.37 .0023 2 0.95 3.28 .0024 2 0.95 3.17 .0025 2 0.95 3.22 .0026 2 0.95 3.21 .0027 2 0.95 3.14 .0028 2 0.95 3.19 .0029 2 0.95 3.33 .0030 2 0.95 3.25 .0031 2 0.95 3.18 .0032 2 0.95 3.29 .0033 2 0.95 3.36 .0034 2 0.95 3.36 .0035 2 0.95 3.27 .0036 2 0.95 3.24 .0037 2 0.95 3.13 .0038 2 0.95 3.04 .0039 2 0.95 3.17 .0040 2 0.95 3.18 .0041 2 0.95 3.39 .0042 2 0.95 3.22 .0043 2 0.95 3.35 .0044 2 0.95 3.56 .0045 2 0.95 3.30 .0046 2 0.95 3.16 .0047 2 0.95 3.24 .0048 2 0.95 3.13 .0049 2 0.95 3.17 .0050 2 0.95 3.29 .0051 2 0.95 3.08 .0052 2 0.95 3.24 .0053 2 0.95 3.15 .0054 2 0.95 3.20 .0055 2 0.95 3.20 .0056 2 0.95 3.08 .0057 2 0.95 3.30 .0058 2 0.95 3.28 .0059 2 0.95 3.10 .0060 2 0.95 3.26 .0061 2 0.95 3.14 .0062 2 0.95 3.49 .0063 2 0.95 3.52 .0064 2 0.95 3.11 .0065 2 0.95 3.12 .0066 2 0.95 3.19 .0067 2 0.95 3.25 .0068 2 0.95 3.12 .0069 2 0.95 3.14 .0070 2 0.95 3.16 .0071 2 0.95 3.23 .0072 2 0.95 3.53 .0073 2 0.95 3.17 .0074 2 0.95 3.17 .0075 2 0.95 3.30 .0076 2 0.95 3.33 .0077 2 0.95 3.20 .0078 2 0.95 3.37 .0079 2 0.95 3.35 .0080 2 0.95 3.32 .0081 2 0.95 3.46 .0082 2 0.95 3.48 .0083 2 0.95 3.40 .0084 2 0.95 3.44 .0085 2 0.95 3.57 .0086 2 0.95 3.19 .0087 2 0.95 3.00 .0088 2 0.95 3.19 .0089 2 0.95 3.27 .0090 2 0.95 3.11 .0091 2 0.95 3.22 .0092 2 0.95 3.35 .0093 2 0.95 3.08 .0094 2 0.95 3.19 .0095 2 0.95 3.20 .0096 2 0.95 3.17 .0097 2 0.95 3.26 .0098 2 0.95 3.10 .0099 2 0.95 3.26 .0100 2 0.95 3.23 .0101 2 0.95 3.20 .0102 2 0.95 3.34 .0103 2 0.95 3.19 .0104 2 0.95 3.23 .0105 2 0.95 3.29 .0106 2 0.95 3.16 .0107 2 0.95 3.44 .0108 2 0.95 3.28 .0109 2 0.95 3.21 .0110 2 0.95 3.22 .0111 2 0.95 3.29 .0112 2 0.95 3.31 .0113 2 0.95 3.34 .0114 2 0.95 3.33 .0115 2 0.95 3.48 .0116 2 0.95 3.60 .0117 2 0.95 3.44 .0118 2 0.95 3.65 .0119 2 0.95 3.28 .0120 2 0.95 3.47 .0121 2 0.95 3.40 .0122 2 0.95 3.37 .0123 2 0.95 3.57 .0124 2 0.95 3.61 .0125 2 0.95 3.42 .0126 3 0.95 3.50 .0127 3 0.95 3.58 .0128 2 0.95 3.54 .0129 2 0.95 3.48 .0130 2 0.95 3.61 .0131 2 0.95 3.68 .0132 2 0.95 3.67 .0133 2 0.95 3.63 .0134 2 0.95 3.64 .0135 2 0.95 3.55 .0136 2 0.95 3.64 .0137 2 0.95 3.69 .0138 2 0.95 3.73 .0139 2 0.95 3.76 .0140 2 0.95 3.70 .0141 2 0.95 3.75 .0142 2 0.95 3.67 .0143 2 0.95 3.74 .0144 3 0.95 3.84 .0145 2 0.95 3.76 .0146 2 0.95 3.96 .0147 2 0.95 3.96 .0148 2 0.95 3.92 .0149 2 0.95 4.04 .0150 2 0.95 3.96 .0151 2 0.95 3.82 .0152 2 0.95 4.25 .0153 2 0.95 4.01 .0154 2 0.95 4.05 .0155 2 0.95 4.36 .0156 2 0.95 4.03 .0157 2 0.95 4.09 .0158 2 0.95 4.30 .0159 2 0.95 4.19 .0160 2 0.95 4.05 .0161 2 0.95 4.02 .0162 2 0.95 4.20 .0163 2 0.95 4.16 .0164 2 0.95 4.21 .0165 2 0.95 4.18 .0166 2 0.95 4.37 .0167 2 0.95 4.29 .0168 2 0.95 4.24 .0169 2 0.95 4.21 .0170 2 0.95 4.16 .0171 2 0.95 4.25 .0172 2 0.95 4.58 .0173 2 0.95 4.39 .0174 2 0.95 4.20 .0175 2 0.95 4.27 .0176 2 0.95 4.60 .0177 2 0.95 4.29 .0178 2 0.95 4.38 .0179 2 0.95 4.31 .0180 2 0.95 4.38 .0181 2 0.95 4.39 .0182 2 0.95 4.42 .0183 2 0.95 4.61 .0184 2 0.95 4.42 .0185 2 0.95 4.60 .0186 2 0.95 4.33 .0187 2 0.95 4.28 .0188 2 0.95 4.37 .0189 1 0.95 4.98 .0190 1 0.95 4.84 .0191 1 0.95 4.78 .0192 1 0.95 4.73 .0193 1 0.95 4.70 .0194 1 0.95 4.38 .0195 1 0.95 4.70 .0196 1 0.95 4.68 .0197 2 0.95 4.70 .0198 1 0.95 4.58 .0199 1 0.95 4.44 .0200 1 0.95 4.48 .0201 1 0.95 4.55 .0202 1 0.95 4.51 .0203 1 0.95 4.38 .0204 1 0.95 4.92 .0205 1 0.95 4.30 .0206 1 0.95 4.42 .0207 1 0.95 4.24 .0208 1 0.95 4.18 .0209 1 0.95 4.20 .0210 1 0.95 4.05 .0211 1 0.95 4.06 .0212 1 0.95 4.23 .0213 1 0.95 4.27 .0214 2 0.95 4.32 .0215 1 0.95 4.32 .0216 1 0.95 4.17 .0217 1 0.95 4.13 .0218 1 0.95 3.95 .0219 1 0.95 4.02 .0220 1 0.95 4.22 .0221 1 0.95 4.01 .0222 1 0.95 3.96 .0223 1 0.95 4.03 .0224 1 0.95 3.98 .0225 1 0.95 3.90 .0226 1 0.95 4.22 .0227 1 0.95 4.02 .0228 1 0.95 4.20 .0229 1 0.95 4.02 .0230 1 0.95 4.15 .0231 1 0.95 4.92 .0232 1 0.95 4.07 .0233 1 0.95 4.08 .0234 1 0.95 4.11 .0235 1 0.95 4.01 .0236 1 0.95 4.04 .0237 1 0.95 4.35 .0238 1 0.95 4.03 .0239 1 0.95 4.04 .0240 1 0.95 4.21 .0241 1 0.95 4.14 .0242 1 0.95 4.42 .0243 1 0.95 3.97 .0244 1 0.95 4.17 .0245 1 0.95 4.16 .0246 1 0.95 4.06 .0247 1 0.95 4.11 .0248 1 0.95 4.52 .0249 2 0.95 4.12 .0250 2 0.95 4.26 .0251 1 0.95 3.95 .0252 1 0.95 4.16 .0253 1 0.95 4.22 .0254 1 0.95 4.23 .0255 1 0.95 4.12 .0256 1 0.95 4.27 .0257 1 0.95 4.32 .0258 1 0.95 4.15 .0259 1 0.95 4.86 .0260 2 0.95 4.47 .0261 2 0.95 4.26 .0262 1 0.95 4.16 .0263 1 0.95 4.30 .0264 1 0.95 4.71 .0265 1 0.95 4.53 .0266 1 0.95 4.42 .0267 1 0.95 4.48 .0268 1 0.95 4.47 .0269 1 0.95 4.45 .0270 1 0.95 4.74 .0271 1 0.95 4.53 .0272 1 0.95 4.59 .0273 1 0.95 4.45 .0274 1 0.95 4.60 .0275 1 0.95 4.47 .0276 1 0.95 4.77 .0277 1 0.95 4.72 .0278 1 0.95 4.54 .0279 1 0.95 4.72 .0280 2 0.95 4.22 .0281 1 0.95 5.15 .0282 1 0.95 5.91 .0283 2 0.95 4.23 .0284 2 0.95 4.29 .0285 2 0.95 4.23 .0286 2 0.95 4.29 .0287 2 0.95 4.24 .0288 2 0.95 4.37 .0289 2 0.95 4.26 .0290 2 0.95 4.25 .0291 2 0.95 4.49 .0292 2 0.95 4.51 .0293 2 0.95 4.35 .0294 2 0.95 4.33 .0295 2 0.95 4.17 .0296 2 0.95 4.25 .0297 2 0.95 4.23 .0298 2 0.95 4.55 .0299 2 0.95 4.02 .0300 2 0.95 4.48 .0301 2 0.95 4.25 .0302 2 0.95 4.30 .0303 2 0.95 4.12 .0304 2 0.95 4.28 .0305 2 0.95 4.43 .0306 2 0.95 4.27 .0307 2 0.95 4.51 .0308 2 0.95 4.47 .0309 2 0.95 4.72 .0310 2 0.95 4.19 .0311 2 0.95 4.24 .0312 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0.92 5.62 .1811 1 0.92 5.69 .1812 1 0.92 5.49 .1813 1 0.92 5.63 .1814 1 0.92 5.78 .1815 1 0.92 5.54 .1816 1 0.92 5.64 .1817 1 0.92 5.72 .1818 1 0.92 5.66 .1819 1 0.92 5.92 .1820 1 0.92 5.59 .1821 1 0.92 5.64 .1822 1 0.92 5.74 .1823 1 0.92 5.73 .1824 1 0.92 5.71 .1825 1 0.92 5.66 .1826 1 0.92 5.68 .1827 1 0.92 5.53 .1828 1 0.92 5.58 .1829 1 0.92 5.46 .1830 1 0.92 5.54 .1831 1 0.92 5.36 .1832 1 0.92 5.62 .1833 1 0.92 5.74 .1834 1 0.92 5.75 .1835 1 0.92 5.55 .1836 1 0.92 5.71 .1837 1 0.92 5.60 .1838 1 0.92 5.66 .1839 1 0.92 5.71 .1840 2 0.92 5.85 .1841 2 0.92 5.88 .1842 1 0.92 6.40 .1843 1 0.92 6.31 .1844 2 0.92 5.71 .1845 1 0.92 5.60 .1846 1 0.92 5.36 .1847 1 0.92 5.65 .1848 1 0.92 5.93 .1849 1 0.92 6.27 .1850 1 0.92 5.73 .1851 1 0.92 5.70 .1852 1 0.92 5.78 .1853 1 0.92 5.81 .1854 1 0.92 5.57 .1855 1 0.92 5.74 .1856 1 0.92 6.14 .1857 1 0.92 6.07 .1858 1 0.92 6.28 .1859 1 0.92 6.16 .1860 1 0.92 6.02 .1861 1 0.92 6.13 .1862 1 0.92 6.21 .1863 1 0.92 6.19 .1864 1 0.92 5.98 .1865 1 0.92 5.99 .1866 1 0.92 5.93 .1867 1 0.92 5.80 .1868 1 0.92 5.66 .1869 1 0.92 6.88 .1870 1 0.92 6.75 .1871 1 0.92 5.98 .1872 1 0.92 5.71 .1873 1 0.92 5.73 .1874 1 0.92 5.96 .1875 1 0.92 5.71 .1876 1 0.92 5.83 .1877 1 0.92 5.81 .1878 1 0.92 6.01 .1879 1 0.92 5.60 .1880 1 0.92 5.95 .1881 1 0.92 5.70 .1882 1 0.92 6.03 .1883 1 0.92 6.00 .1884 1 0.92 5.82 .1885 1 0.92 6.04 .1886 1 0.92 5.85 .1887 1 0.92 5.88 .1888 1 0.92 5.92 .1889 1 0.92 5.86 .1890 1 0.92 5.92 .1891 1 0.92 5.84 .1892 1 0.92 5.90 .1893 1 0.92 5.78 .1894 1 0.92 5.90 .1895 1 0.92 5.92 .1896 1 0.92 5.57 .1897 1 0.92 6.02 .1898 1 0.92 5.78 .1899 2 0.92 5.72 .1900 1 0.92 5.57 .1901 1 0.92 5.74 .1902 1 0.92 5.62 .1903 1 0.92 5.80 .1904 1 0.92 5.71 .1905 1 0.92 5.55 .1906 1 0.92 5.60 .1907 1 0.92 5.87 .1908 1 0.92 5.71 .1909 1 0.92 5.68 .1910 1 0.92 5.68 .1911 1 0.92 5.79 .1912 1 0.92 5.70 .1913 1 0.92 5.55 .1914 1 0.92 5.70 .1915 1 0.92 5.83 .1916 1 0.92 5.90 .1917 1 0.92 5.70 .1918 1 0.92 5.67 .1919 1 0.92 6.26 .1920 2 0.92 6.47 .1921 1 0.92 5.72 .1922 1 0.92 5.77 .1923 1 0.92 5.77 .1924 1 0.92 5.96 .1925 1 0.92 5.73 .1926 1 0.92 5.88 .1927 1 0.92 5.63 .1928 1 0.92 6.41 .1929 1 0.92 5.66 .1930 1 0.92 5.86 .1931 1 0.92 5.76 .1932 1 0.92 5.96 .1933 1 0.92 5.69 .1934 1 0.92 6.06 .1935 1 0.92 5.95 .1936 1 0.92 6.13 .1937 1 0.92 5.69 .1938 1 0.92 5.88 .1939 1 0.92 5.77 .1940 1 0.92 5.81 .1941 1 0.92 5.82 .1942 1 0.92 5.82 .1943 1 0.92 5.74 .1944 1 0.92 5.79 .1945 1 0.92 5.45 .1946 1 0.92 5.58 .1947 1 0.92 5.47 .1948 1 0.92 5.46 .1949 1 0.92 5.72 .1950 1 0.92 5.81 .1951 1 0.92 5.49 .1952 1 0.92 5.69 .1953 1 0.92 5.45 .1954 1 0.92 5.39 .1955 1 0.92 5.36 .1956 1 0.92 5.49 .1957 1 0.92 5.56 .1958 1 0.92 5.41 .1959 1 0.92 5.49 .1960 1 0.92 5.62 .1961 1 0.92 5.59 .1962 1 0.92 6.15 .1963 1 0.92 6.13 .1964 1 0.92 5.54 .1965 1 0.92 5.75 .1966 1 0.92 5.69 .1967 1 0.92 5.52 .1968 1 0.92 5.99 .1969 1 0.92 5.69 .1970 1 0.92 6.28 .1971 2 0.92 5.97 .1972 1 0.92 5.63 .1973 1 0.92 6.16 .1974 1 0.92 6.05 .1975 1 0.92 5.70 .1976 1 0.92 5.37 .1977 1 0.92 6.00 .1978 1 0.92 5.69 .1979 1 0.92 5.54 .1980 1 0.92 5.42 .1981 1 0.92 5.82 .1982 1 0.92 5.75 .1983 1 0.92 5.84 .1984 1 0.92 5.90 .1985 1 0.92 5.50 .1986 1 0.92 5.60 .1987 1 0.92 5.45 .1988 1 0.92 5.49 .1989 1 0.92 5.45 .1990 1 0.92 5.76 .1991 1 0.92 5.86 .1992 1 0.92 5.48 .1993 1 0.92 5.46 .1994 1 0.92 5.25 .1995 1 0.92 5.19 .1996 1 0.92 5.34 .1997 1 0.92 5.28 .1998 1 0.92 5.10 .1999 1 0.92 5.48 .2000 1 0.92 5.30 .2001 1 0.92 5.54 .2002 1 0.92 5.25 .2003 1 0.92 5.40 .2004 1 0.92 5.34 .2005 1 0.92 5.46 .2006 1 0.92 5.16 .2007 1 0.92 5.20 .2008 1 0.92 5.20 .2009 2 0.92 5.65 .2010 1 0.92 5.91 .2011 1 0.92 5.51 .2012 1 0.92 5.50 .2013 1 0.92 5.47 .2014 1 0.92 5.45 .2015 1 0.92 5.66 .2016 1 0.92 5.63 .2017 1 0.92 5.45 .2018 1 0.92 5.41 .2019 1 0.92 5.55 .2020 1 0.92 5.17 .2021 1 0.92 5.23 .2022 1 0.92 5.30 .2023 1 0.92 5.02 .2024 1 0.92 5.10 .2025 1 0.92 4.99 .2026 1 0.92 5.17 .2027 1 0.92 5.13 .2028 1 0.92 4.81 .2029 1 0.92 5.16 .2030 1 0.92 4.92 .2031 1 0.92 4.97 .2032 1 0.92 4.90 .2033 1 0.92 4.45 .2034 1 0.92 4.69 .2035 1 0.92 4.82 .2036 1 0.92 4.75 .2037 1 0.92 4.44 .2038 1 0.92 4.70 .2039 1 0.92 4.55 .2040 1 0.92 4.77 .2041 1 0.92 4.60 .2042 1 0.92 4.76 .2043 1 0.92 4.56 .2044 1 0.92 4.73 .2045 1 0.92 5.12 .2046 1 0.92 4.67 .2047 1 0.92 4.62 EXTRACT_IMAGE: r2: masked 467 pixels DOSCATTER: r2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r2: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r2: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.01 0.15 Step 20 of 2112 0.58 96 0.02 0.16 Step 28 of 2112 0.59 96 0.02 0.16 Step 36 of 2112 0.59 96 0.02 0.15 Step 44 of 2112 0.59 96 0.02 0.17 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.14 Step 84 of 2112 0.59 96 0.02 0.16 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.60 96 0.02 0.17 Step 108 of 2112 0.60 96 0.02 0.16 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.16 Step 132 of 2112 0.60 96 0.02 0.16 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.16 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.61 96 0.02 0.15 Step 172 of 2112 0.61 96 0.02 0.15 Step 180 of 2112 0.61 96 0.02 0.16 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.15 Step 220 of 2112 0.61 96 0.02 0.16 Step 228 of 2112 0.62 96 0.02 0.16 Step 236 of 2112 0.62 96 0.02 0.16 Step 244 of 2112 0.62 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.14 Step 260 of 2112 0.62 96 0.02 0.14 Step 268 of 2112 0.62 96 0.02 0.14 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.16 Step 300 of 2112 0.63 96 0.02 0.15 Step 308 of 2112 0.63 96 0.02 0.16 Step 316 of 2112 0.63 96 0.02 0.16 Step 324 of 2112 0.63 96 0.02 0.16 Step 332 of 2112 0.63 96 0.02 0.16 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.64 96 0.02 0.15 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.14 Step 396 of 2112 0.64 96 0.02 0.14 Step 404 of 2112 0.64 96 0.02 0.14 Step 412 of 2112 0.64 96 0.02 0.14 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.65 96 0.02 0.14 Step 436 of 2112 0.65 96 0.02 0.14 Step 444 of 2112 0.65 96 0.02 0.14 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.14 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 96 0.02 0.15 Step 492 of 2112 0.66 96 0.02 0.15 Step 500 of 2112 0.66 96 0.02 0.15 Step 508 of 2112 0.66 96 0.02 0.15 Step 516 of 2112 0.66 96 0.02 0.15 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.02 0.15 Step 540 of 2112 0.66 96 0.02 0.16 Step 548 of 2112 0.66 96 0.03 0.16 Step 556 of 2112 0.67 96 0.02 0.16 Step 564 of 2112 0.67 96 0.02 0.15 Step 572 of 2112 0.67 96 0.02 0.16 Step 580 of 2112 0.67 96 0.02 0.16 Step 588 of 2112 0.67 96 0.02 0.15 Step 596 of 2112 0.67 96 0.02 0.14 Step 604 of 2112 0.67 96 0.02 0.16 Step 612 of 2112 0.68 96 0.02 0.15 Step 620 of 2112 0.68 96 0.02 0.15 Step 628 of 2112 0.68 96 0.02 0.14 Step 636 of 2112 0.68 96 0.02 0.14 Step 644 of 2112 0.68 128 0.02 0.22 Step 652 of 2112 0.68 128 0.02 0.21 Step 660 of 2112 0.68 128 0.03 0.21 Step 668 of 2112 0.68 128 0.03 0.22 Step 676 of 2112 0.69 128 0.03 0.21 Step 684 of 2112 0.69 128 0.02 0.19 Step 692 of 2112 0.69 128 0.02 0.20 Step 700 of 2112 0.69 128 0.02 0.21 Step 708 of 2112 0.69 128 0.02 0.21 Step 716 of 2112 0.69 128 0.02 0.19 Step 724 of 2112 0.69 128 0.02 0.20 Step 732 of 2112 0.69 128 0.03 0.21 Step 740 of 2112 0.70 128 0.03 0.20 Step 748 of 2112 0.70 128 0.03 0.21 Step 756 of 2112 0.70 128 0.02 0.20 Step 764 of 2112 0.70 128 0.03 0.22 Step 772 of 2112 0.70 128 0.03 0.21 Step 780 of 2112 0.70 128 0.03 0.22 Step 788 of 2112 0.70 128 0.02 0.21 Step 796 of 2112 0.71 128 0.02 0.21 Step 804 of 2112 0.71 128 0.03 0.22 Step 812 of 2112 0.71 128 0.03 0.20 Step 820 of 2112 0.71 128 0.03 0.21 Step 828 of 2112 0.71 128 0.02 0.21 Step 836 of 2112 0.71 128 0.03 0.21 Step 844 of 2112 0.71 128 0.03 0.21 Step 852 of 2112 0.71 128 0.03 0.20 Step 860 of 2112 0.72 128 0.03 0.21 Step 868 of 2112 0.72 128 0.02 0.22 Step 876 of 2112 0.72 128 0.03 0.22 Step 884 of 2112 0.72 128 0.03 0.23 Step 892 of 2112 0.72 128 0.03 0.22 Step 900 of 2112 0.72 128 0.04 0.22 Step 908 of 2112 0.72 128 0.03 0.20 Step 916 of 2112 0.73 128 0.02 0.20 Step 924 of 2112 0.73 128 0.03 0.20 Step 932 of 2112 0.73 128 0.03 0.21 Step 940 of 2112 0.73 128 0.04 0.22 Step 948 of 2112 0.73 128 0.03 0.20 Step 956 of 2112 0.73 128 0.03 0.20 Step 964 of 2112 0.73 128 0.02 0.20 Step 972 of 2112 0.73 128 0.03 0.20 Step 980 of 2112 0.74 128 0.03 0.20 Step 988 of 2112 0.74 128 0.02 0.19 Step 996 of 2112 0.74 128 0.02 0.19 Step 1004 of 2112 0.74 128 0.03 0.20 Step 1012 of 2112 0.74 128 0.03 0.21 Step 1020 of 2112 0.74 128 0.03 0.20 Step 1028 of 2112 0.74 128 0.04 0.20 Step 1036 of 2112 0.75 128 0.03 0.19 Step 1044 of 2112 0.75 128 0.03 0.21 Step 1052 of 2112 0.75 128 0.03 0.20 Step 1060 of 2112 0.75 128 0.03 0.21 Step 1068 of 2112 0.75 128 0.02 0.19 Step 1076 of 2112 0.75 128 0.02 0.18 Step 1084 of 2112 0.75 128 0.02 0.18 Step 1092 of 2112 0.75 160 0.03 0.32 Step 1100 of 2112 0.76 160 0.03 0.33 Step 1108 of 2112 0.76 160 0.03 0.33 Step 1116 of 2112 0.76 160 0.04 0.33 Step 1124 of 2112 0.76 160 0.03 0.34 Step 1132 of 2112 0.76 160 0.04 0.33 Step 1140 of 2112 0.76 160 0.04 0.37 Step 1148 of 2112 0.76 160 0.03 0.39 Step 1156 of 2112 0.77 160 0.03 0.34 Step 1164 of 2112 0.77 160 0.03 0.36 Step 1172 of 2112 0.77 160 0.03 0.36 Step 1180 of 2112 0.77 160 0.03 0.34 Step 1188 of 2112 0.77 160 0.03 0.34 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.03 0.32 Step 1212 of 2112 0.78 160 0.03 0.32 Step 1220 of 2112 0.78 160 0.03 0.34 Step 1228 of 2112 0.78 160 0.03 0.34 Step 1236 of 2112 0.78 160 0.03 0.36 Step 1244 of 2112 0.78 160 0.03 0.34 Step 1252 of 2112 0.78 160 0.03 0.34 Step 1260 of 2112 0.78 160 0.03 0.33 Step 1268 of 2112 0.78 160 0.03 0.36 Step 1276 of 2112 0.79 160 0.03 0.34 Step 1284 of 2112 0.79 160 0.03 0.34 Step 1292 of 2112 0.79 160 0.04 0.33 Step 1300 of 2112 0.79 160 0.03 0.32 Step 1308 of 2112 0.79 160 0.03 0.32 Step 1316 of 2112 0.79 160 0.03 0.34 Step 1324 of 2112 0.79 160 0.03 0.34 Step 1332 of 2112 0.80 160 0.03 0.32 Step 1340 of 2112 0.80 160 0.04 0.35 Step 1348 of 2112 0.80 160 0.03 0.33 Step 1356 of 2112 0.80 160 0.04 0.33 Step 1364 of 2112 0.80 160 0.04 0.33 Step 1372 of 2112 0.80 160 0.04 0.33 Step 1380 of 2112 0.80 160 0.04 0.33 Step 1388 of 2112 0.81 160 0.04 0.35 Step 1396 of 2112 0.81 160 0.03 0.34 Step 1404 of 2112 0.81 160 0.02 0.33 Step 1412 of 2112 0.81 160 0.02 0.34 Step 1420 of 2112 0.81 160 0.03 0.32 Step 1428 of 2112 0.81 160 0.03 0.32 Step 1436 of 2112 0.81 160 0.03 0.33 Step 1444 of 2112 0.82 160 0.03 0.32 Step 1452 of 2112 0.82 192 0.04 0.36 Step 1460 of 2112 0.82 192 0.04 0.36 Step 1468 of 2112 0.82 192 0.04 0.36 Step 1476 of 2112 0.82 192 0.05 0.38 Step 1484 of 2112 0.82 192 0.04 0.40 Step 1492 of 2112 0.82 192 0.05 0.37 Step 1500 of 2112 0.82 192 0.04 0.36 Step 1508 of 2112 0.83 192 0.03 0.36 Step 1516 of 2112 0.83 192 0.04 0.37 Step 1524 of 2112 0.83 192 0.03 0.38 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.04 0.37 Step 1548 of 2112 0.83 192 0.04 0.36 Step 1556 of 2112 0.83 192 0.04 0.36 Step 1564 of 2112 0.84 192 0.04 0.36 Step 1572 of 2112 0.84 192 0.04 0.36 Step 1580 of 2112 0.84 192 0.04 0.39 Step 1588 of 2112 0.84 192 0.04 0.38 Step 1596 of 2112 0.84 192 0.04 0.38 Step 1604 of 2112 0.84 192 0.04 0.37 Step 1612 of 2112 0.84 192 0.04 0.37 Step 1620 of 2112 0.85 192 0.03 0.35 Step 1628 of 2112 0.85 192 0.04 0.36 Step 1636 of 2112 0.85 192 0.03 0.36 Step 1644 of 2112 0.85 192 0.04 0.36 Step 1652 of 2112 0.85 192 0.04 0.36 Step 1660 of 2112 0.85 192 0.03 0.36 Step 1668 of 2112 0.85 192 0.04 0.37 Step 1676 of 2112 0.86 192 0.05 0.37 Step 1684 of 2112 0.86 192 0.04 0.37 Step 1692 of 2112 0.86 192 0.05 0.38 Step 1700 of 2112 0.86 192 0.04 0.38 Step 1708 of 2112 0.86 192 0.05 0.37 Step 1716 of 2112 0.86 192 0.05 0.37 Step 1724 of 2112 0.86 192 0.04 0.40 Step 1732 of 2112 0.87 192 0.05 0.42 Step 1740 of 2112 0.87 192 0.05 0.42 Step 1748 of 2112 0.87 224 0.05 0.51 Step 1756 of 2112 0.87 224 0.05 0.47 Step 1764 of 2112 0.87 224 0.05 0.47 Step 1772 of 2112 0.87 224 0.04 0.51 Step 1780 of 2112 0.87 224 0.05 0.50 Step 1788 of 2112 0.88 224 0.05 0.48 Step 1796 of 2112 0.88 224 0.05 0.50 Step 1804 of 2112 0.88 224 0.04 0.50 Step 1812 of 2112 0.88 224 0.04 0.50 Step 1820 of 2112 0.88 224 0.04 0.48 Step 1828 of 2112 0.88 224 0.04 0.54 Step 1836 of 2112 0.88 224 0.05 0.47 Step 1844 of 2112 0.89 224 0.05 0.46 Step 1852 of 2112 0.89 224 0.04 0.46 Step 1860 of 2112 0.89 224 0.04 0.50 Step 1868 of 2112 0.89 224 0.03 0.49 Step 1876 of 2112 0.89 224 0.05 0.52 Step 1884 of 2112 0.89 224 0.04 0.48 Step 1892 of 2112 0.89 224 0.05 0.48 Step 1900 of 2112 0.90 224 0.05 0.49 Step 1908 of 2112 0.90 224 0.04 0.49 Step 1916 of 2112 0.90 224 0.04 0.55 Step 1924 of 2112 0.90 224 0.05 0.53 Step 1932 of 2112 0.90 224 0.05 0.48 Step 1940 of 2112 0.90 224 0.05 0.49 Step 1948 of 2112 0.90 224 0.06 0.49 Step 1956 of 2112 0.91 224 0.05 0.47 Step 1964 of 2112 0.91 224 0.04 0.50 Step 1972 of 2112 0.91 224 0.04 0.48 Step 1980 of 2112 0.91 224 0.04 0.47 Step 1988 of 2112 0.91 224 0.04 0.47 Step 1996 of 2112 0.91 256 0.05 0.51 Step 2004 of 2112 0.91 256 0.03 0.50 Step 2012 of 2112 0.92 256 0.05 0.50 Step 2020 of 2112 0.92 256 0.05 0.49 Step 2028 of 2112 0.92 256 0.05 0.51 Step 2036 of 2112 0.92 256 0.05 0.52 Step 2044 of 2112 0.92 256 0.05 0.53 Step 2052 of 2112 0.92 256 0.05 0.52 Step 2060 of 2112 0.92 256 0.05 0.49 Step 2068 of 2112 0.93 256 0.05 0.49 Step 2076 of 2112 0.93 256 0.06 0.52 Step 2084 of 2112 0.93 256 0.03 0.51 Step 2092 of 2112 0.93 256 0.05 0.53 Step 2100 of 2112 0.93 256 0.05 0.52 Step 2108 of 2112 0.93 256 0.05 0.54 ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 3.35 .0004 1 0.95 3.42 .0005 1 0.95 3.44 .0006 1 0.95 3.46 .0007 1 0.95 3.48 .0008 2 0.95 3.02 .0009 1 0.95 3.53 .0010 1 0.95 3.35 .0011 1 0.95 3.45 .0012 2 0.95 3.10 .0013 3 0.95 3.04 .0014 3 0.95 3.30 .0015 2 0.95 3.07 .0016 2 0.95 3.33 .0017 2 0.95 3.18 .0018 2 0.95 3.04 .0019 2 0.95 3.02 .0020 2 0.95 3.06 .0021 2 0.95 3.24 .0022 2 0.95 3.31 .0023 2 0.95 3.23 .0024 2 0.95 3.10 .0025 2 0.95 3.17 .0026 2 0.95 3.16 .0027 2 0.95 3.09 .0028 2 0.95 3.14 .0029 2 0.95 3.27 .0030 2 0.95 3.18 .0031 2 0.95 3.13 .0032 2 0.95 3.24 .0033 2 0.95 3.30 .0034 2 0.95 3.30 .0035 2 0.95 3.22 .0036 2 0.95 3.18 .0037 2 0.95 3.07 .0038 2 0.95 2.99 .0039 2 0.95 3.12 .0040 2 0.95 3.12 .0041 2 0.95 3.34 .0042 2 0.95 3.16 .0043 2 0.95 3.30 .0044 2 0.95 3.51 .0045 2 0.95 3.24 .0046 2 0.95 3.11 .0047 2 0.95 3.19 .0048 2 0.95 3.07 .0049 2 0.95 3.11 .0050 2 0.95 3.22 .0051 2 0.95 3.02 .0052 2 0.95 3.17 .0053 2 0.95 3.09 .0054 2 0.95 3.14 .0055 2 0.95 3.15 .0056 2 0.95 3.02 .0057 2 0.95 3.24 .0058 2 0.95 3.22 .0059 2 0.95 3.04 .0060 2 0.95 3.20 .0061 2 0.95 3.08 .0062 2 0.95 3.43 .0063 2 0.95 3.45 .0064 2 0.95 3.05 .0065 2 0.95 3.06 .0066 2 0.95 3.13 .0067 2 0.95 3.18 .0068 2 0.95 3.06 .0069 2 0.95 3.07 .0070 2 0.95 3.09 .0071 2 0.95 3.16 .0072 2 0.95 3.46 .0073 2 0.95 3.11 .0074 2 0.95 3.10 .0075 2 0.95 3.23 .0076 2 0.95 3.26 .0077 2 0.95 3.13 .0078 2 0.95 3.29 .0079 2 0.95 3.28 .0080 2 0.95 3.25 .0081 2 0.95 3.38 .0082 2 0.95 3.40 .0083 2 0.95 3.31 .0084 2 0.95 3.36 .0085 2 0.95 3.48 .0086 2 0.95 3.10 .0087 2 0.95 2.91 .0088 2 0.95 3.10 .0089 2 0.95 3.18 .0090 2 0.95 3.02 .0091 2 0.95 3.13 .0092 2 0.95 3.25 .0093 2 0.95 2.99 .0094 2 0.95 3.10 .0095 2 0.95 3.11 .0096 2 0.95 3.08 .0097 2 0.95 3.17 .0098 2 0.95 3.01 .0099 2 0.95 3.17 .0100 2 0.95 3.14 .0101 2 0.95 3.11 .0102 2 0.95 3.24 .0103 2 0.95 3.10 .0104 2 0.95 3.13 .0105 2 0.95 3.20 .0106 2 0.95 3.06 .0107 2 0.95 3.36 .0108 2 0.95 3.20 .0109 2 0.95 3.12 .0110 2 0.95 3.12 .0111 2 0.95 3.20 .0112 2 0.95 3.22 .0113 2 0.95 3.25 .0114 2 0.95 3.23 .0115 2 0.95 3.37 .0116 2 0.95 3.50 .0117 2 0.95 3.35 .0118 2 0.95 3.53 .0119 2 0.95 3.17 .0120 2 0.95 3.36 .0121 2 0.95 3.29 .0122 2 0.95 3.25 .0123 2 0.95 3.45 .0124 2 0.95 3.50 .0125 2 0.95 3.32 .0126 3 0.95 3.39 .0127 3 0.95 3.47 .0128 2 0.95 3.42 .0129 2 0.95 3.37 .0130 2 0.95 3.49 .0131 2 0.95 3.56 .0132 2 0.95 3.55 .0133 2 0.95 3.50 .0134 2 0.95 3.52 .0135 2 0.95 3.43 .0136 2 0.95 3.51 .0137 2 0.95 3.55 .0138 2 0.95 3.61 .0139 2 0.95 3.63 .0140 2 0.95 3.57 .0141 2 0.95 3.61 .0142 2 0.95 3.53 .0143 2 0.95 3.61 .0144 2 0.95 3.70 .0145 2 0.95 3.62 .0146 2 0.95 3.81 .0147 2 0.95 3.82 .0148 2 0.95 3.78 .0149 2 0.95 3.91 .0150 2 0.95 3.81 .0151 2 0.95 3.69 .0152 2 0.95 4.13 .0153 2 0.95 3.87 .0154 2 0.95 3.92 .0155 2 0.95 4.22 .0156 2 0.95 3.90 .0157 2 0.95 3.94 .0158 2 0.95 4.15 .0159 2 0.95 4.07 .0160 2 0.95 3.93 .0161 2 0.95 3.90 .0162 2 0.95 4.06 .0163 2 0.95 4.03 .0164 2 0.95 4.08 .0165 2 0.95 4.06 .0166 2 0.95 4.24 .0167 2 0.95 4.17 .0168 2 0.95 4.12 .0169 2 0.95 4.09 .0170 2 0.95 4.04 .0171 2 0.95 4.12 .0172 2 0.95 4.45 .0173 2 0.95 4.27 .0174 2 0.95 4.10 .0175 2 0.95 4.16 .0176 2 0.95 4.49 .0177 2 0.95 4.17 .0178 2 0.95 4.26 .0179 2 0.95 4.21 .0180 2 0.95 4.27 .0181 2 0.95 4.29 .0182 2 0.95 4.31 .0183 2 0.95 4.51 .0184 2 0.95 4.31 .0185 2 0.95 4.48 .0186 2 0.95 4.23 .0187 2 0.95 4.17 .0188 2 0.95 4.27 .0189 1 0.95 4.87 .0190 1 0.95 4.73 .0191 1 0.95 4.68 .0192 1 0.95 4.64 .0193 1 0.95 4.61 .0194 1 0.95 4.29 .0195 1 0.95 4.61 .0196 1 0.95 4.57 .0197 2 0.95 4.60 .0198 1 0.95 4.48 .0199 1 0.95 4.33 .0200 1 0.95 4.38 .0201 1 0.95 4.47 .0202 1 0.95 4.41 .0203 1 0.95 4.28 .0204 1 0.95 4.83 .0205 1 0.95 4.21 .0206 1 0.95 4.31 .0207 1 0.95 4.15 .0208 1 0.95 4.09 .0209 1 0.95 4.10 .0210 1 0.95 3.95 .0211 1 0.95 3.98 .0212 1 0.95 4.12 .0213 1 0.95 4.16 .0214 2 0.95 4.20 .0215 1 0.95 4.22 .0216 1 0.95 4.07 .0217 1 0.95 4.02 .0218 1 0.95 3.85 .0219 1 0.95 3.91 .0220 1 0.95 4.10 .0221 1 0.95 3.89 .0222 1 0.95 3.85 .0223 1 0.95 3.92 .0224 1 0.95 3.87 .0225 1 0.95 3.80 .0226 1 0.95 4.10 .0227 1 0.95 3.91 .0228 1 0.95 4.08 .0229 1 0.95 3.91 .0230 1 0.95 4.03 .0231 1 0.95 4.78 .0232 1 0.95 3.95 .0233 1 0.95 3.95 .0234 1 0.95 3.98 .0235 1 0.95 3.89 .0236 1 0.95 3.91 .0237 1 0.95 4.23 .0238 1 0.95 3.89 .0239 1 0.95 3.92 .0240 1 0.95 4.07 .0241 1 0.95 4.00 .0242 1 0.95 4.29 .0243 1 0.95 3.84 .0244 1 0.95 4.04 .0245 1 0.95 4.03 .0246 1 0.95 3.93 .0247 1 0.95 3.96 .0248 1 0.95 4.39 .0249 2 0.95 3.99 .0250 2 0.95 4.12 .0251 1 0.95 3.81 .0252 1 0.95 4.02 .0253 1 0.95 4.08 .0254 1 0.95 4.09 .0255 1 0.95 4.00 .0256 1 0.95 4.12 .0257 1 0.95 4.17 .0258 1 0.95 4.01 .0259 2 0.95 4.19 .0260 2 0.95 4.32 .0261 2 0.95 4.13 .0262 1 0.95 4.02 .0263 1 0.95 4.16 .0264 1 0.95 4.58 .0265 1 0.95 4.39 .0266 1 0.95 4.29 .0267 1 0.95 4.34 .0268 1 0.95 4.32 .0269 1 0.95 4.31 .0270 1 0.95 4.59 .0271 1 0.95 4.40 .0272 1 0.95 4.45 .0273 1 0.95 4.32 .0274 1 0.95 4.44 .0275 1 0.95 4.31 .0276 1 0.95 4.62 .0277 1 0.95 4.58 .0278 1 0.95 4.41 .0279 2 0.95 4.08 .0280 2 0.95 4.08 .0281 1 0.95 5.02 .0282 1 0.95 5.77 .0283 2 0.95 4.09 .0284 2 0.95 4.15 .0285 2 0.95 4.09 .0286 2 0.95 4.16 .0287 2 0.95 4.11 .0288 2 0.95 4.22 .0289 2 0.95 4.11 .0290 2 0.95 4.10 .0291 2 0.95 4.35 .0292 2 0.95 4.36 .0293 2 0.95 4.21 .0294 2 0.95 4.18 .0295 2 0.95 4.04 .0296 2 0.95 4.11 .0297 2 0.95 4.07 .0298 2 0.95 4.39 .0299 2 0.95 3.88 .0300 2 0.95 4.34 .0301 2 0.95 4.11 .0302 2 0.95 4.14 .0303 2 0.95 3.98 .0304 2 0.95 4.13 .0305 2 0.95 4.30 .0306 2 0.95 4.13 .0307 2 0.95 4.36 .0308 2 0.95 4.33 .0309 2 0.95 4.60 .0310 2 0.95 4.05 .0311 2 0.95 4.10 .0312 2 0.95 3.98 .0313 2 0.95 4.24 .0314 2 0.95 3.94 .0315 2 0.95 4.21 .0316 2 0.95 4.00 .0317 2 0.95 4.11 .0318 2 0.95 4.05 .0319 2 0.95 3.94 .0320 2 0.95 4.25 .0321 2 0.95 4.10 .0322 2 0.95 3.90 .0323 2 0.95 4.00 .0324 2 0.95 4.12 .0325 2 0.95 4.10 .0326 2 0.95 3.88 .0327 2 0.95 3.84 .0328 2 0.95 3.89 .0329 2 0.95 3.98 .0330 2 0.95 3.75 .0331 2 0.95 3.85 .0332 2 0.95 3.86 .0333 2 0.95 4.07 .0334 2 0.95 3.92 .0335 2 0.95 3.86 .0336 2 0.95 3.56 .0337 2 0.95 3.88 .0338 2 0.95 3.90 .0339 2 0.95 3.59 .0340 2 0.95 3.94 .0341 2 0.95 3.80 .0342 2 0.95 3.73 .0343 2 0.95 3.62 .0344 2 0.95 3.74 .0345 2 0.95 3.72 .0346 2 0.94 3.84 .0347 2 0.94 3.61 .0348 2 0.94 3.82 .0349 2 0.94 3.64 .0350 2 0.94 3.60 .0351 2 0.94 3.60 .0352 2 0.94 3.61 .0353 2 0.94 3.56 .0354 2 0.94 3.61 .0355 2 0.94 3.63 .0356 2 0.94 3.69 .0357 2 0.94 3.63 .0358 2 0.94 3.64 .0359 2 0.94 3.68 .0360 2 0.94 3.90 .0361 2 0.94 3.59 .0362 2 0.94 3.61 .0363 2 0.94 3.51 .0364 2 0.94 3.65 .0365 2 0.94 3.45 .0366 2 0.94 3.53 .0367 2 0.94 3.64 .0368 2 0.94 3.60 .0369 2 0.94 3.71 .0370 2 0.94 3.73 .0371 3 0.94 3.77 .0372 2 0.94 3.81 .0373 2 0.94 3.79 .0374 2 0.94 3.77 .0375 2 0.94 3.49 .0376 3 0.94 3.12 .0377 3 0.94 3.20 .0378 3 0.94 3.11 .0379 3 0.94 3.48 .0380 2 0.94 3.28 .0381 2 0.94 3.36 .0382 2 0.94 3.22 .0383 2 0.94 3.27 .0384 2 0.94 3.17 .0385 2 0.94 3.40 .0386 2 0.94 3.36 .0387 2 0.94 3.30 .0388 2 0.94 3.24 .0389 2 0.94 3.14 .0390 2 0.94 3.26 .0391 2 0.94 3.40 .0392 2 0.94 3.29 .0393 2 0.94 3.25 .0394 2 0.94 3.30 .0395 2 0.94 3.27 .0396 2 0.94 3.31 .0397 2 0.94 3.33 .0398 2 0.94 3.36 .0399 2 0.94 3.30 .0400 2 0.94 3.14 .0401 2 0.94 3.28 .0402 2 0.94 3.18 .0403 2 0.94 3.27 .0404 2 0.94 3.11 .0405 2 0.94 3.17 .0406 2 0.94 3.10 .0407 2 0.94 3.21 .0408 2 0.94 3.14 .0409 2 0.94 3.21 .0410 2 0.94 3.19 .0411 2 0.94 3.10 .0412 2 0.94 3.10 .0413 2 0.94 3.07 .0414 2 0.94 2.99 .0415 2 0.94 3.19 .0416 2 0.94 3.06 .0417 2 0.94 3.08 .0418 2 0.94 3.08 .0419 2 0.94 3.02 .0420 2 0.94 3.04 .0421 2 0.94 3.08 .0422 2 0.94 3.24 .0423 2 0.94 2.96 .0424 2 0.94 3.23 .0425 2 0.94 2.96 .0426 2 0.94 3.10 .0427 2 0.94 3.11 .0428 2 0.94 2.94 .0429 2 0.94 2.97 .0430 2 0.94 3.12 .0431 2 0.94 3.21 .0432 2 0.94 3.00 .0433 2 0.94 3.06 .0434 2 0.94 3.14 .0435 2 0.94 2.96 .0436 2 0.94 3.03 .0437 2 0.94 3.01 .0438 2 0.94 2.91 .0439 2 0.94 3.20 .0440 2 0.94 3.03 .0441 2 0.94 3.56 .0442 2 0.94 3.01 .0443 2 0.94 2.98 .0444 2 0.94 3.11 .0445 2 0.94 2.92 .0446 2 0.94 3.09 .0447 2 0.94 2.91 .0448 2 0.94 2.89 .0449 2 0.94 2.80 .0450 2 0.94 2.92 .0451 2 0.94 2.84 .0452 2 0.94 2.92 .0453 2 0.94 2.97 .0454 2 0.94 2.85 .0455 2 0.94 2.73 .0456 2 0.94 2.87 .0457 2 0.94 3.01 .0458 2 0.94 2.74 .0459 2 0.94 2.73 .0460 2 0.94 2.77 .0461 2 0.94 2.69 .0462 2 0.94 2.90 .0463 2 0.94 2.85 .0464 2 0.94 2.95 .0465 2 0.94 2.81 .0466 2 0.94 2.76 .0467 2 0.94 2.80 .0468 2 0.94 2.96 .0469 2 0.94 2.84 .0470 2 0.94 2.91 .0471 2 0.94 3.03 .0472 2 0.94 2.93 .0473 2 0.94 2.95 .0474 2 0.94 2.95 .0475 2 0.94 2.91 .0476 2 0.94 3.07 .0477 2 0.94 2.75 .0478 2 0.94 3.06 .0479 2 0.94 3.05 .0480 2 0.94 2.83 .0481 2 0.94 3.08 .0482 2 0.94 2.96 .0483 2 0.94 2.87 .0484 2 0.94 3.00 .0485 2 0.94 2.95 .0486 2 0.94 2.94 .0487 2 0.94 2.84 .0488 2 0.94 2.92 .0489 2 0.94 3.29 .0490 2 0.94 2.87 .0491 2 0.94 2.92 .0492 2 0.94 3.04 .0493 2 0.94 2.90 .0494 2 0.94 3.03 .0495 2 0.94 3.07 .0496 2 0.94 2.85 .0497 2 0.94 3.04 .0498 2 0.94 3.05 .0499 2 0.94 3.09 .0500 2 0.94 3.15 .0501 2 0.94 3.05 .0502 2 0.94 2.99 .0503 2 0.94 3.13 .0504 2 0.94 3.35 .0505 2 0.93 3.09 .0506 2 0.93 3.02 .0507 2 0.93 3.20 .0508 2 0.93 2.99 .0509 2 0.93 3.17 .0510 2 0.93 3.12 .0511 2 0.93 3.01 .0512 2 0.93 3.24 .0513 1 0.93 3.73 .0514 2 0.93 3.17 .0515 2 0.93 2.97 .0516 1 0.93 3.47 .0517 1 0.93 3.53 .0518 1 0.93 3.67 .0519 1 0.93 3.57 .0520 1 0.93 3.48 .0521 1 0.93 3.57 .0522 2 0.93 3.56 .0523 1 0.93 3.63 .0524 1 0.93 3.59 .0525 1 0.93 3.53 .0526 1 0.93 3.64 .0527 1 0.93 3.48 .0528 1 0.93 3.47 .0529 1 0.93 3.60 .0530 1 0.93 3.71 .0531 1 0.93 3.59 .0532 1 0.93 3.63 .0533 1 0.93 3.40 .0534 1 0.93 3.74 .0535 1 0.93 3.69 .0536 1 0.93 3.63 .0537 1 0.93 3.75 .0538 1 0.93 3.62 .0539 1 0.93 3.74 .0540 3 0.93 3.67 .0541 2 0.93 3.84 .0542 1 0.93 3.78 .0543 1 0.93 3.74 .0544 1 0.93 3.69 .0545 1 0.93 3.69 .0546 1 0.93 3.81 .0547 1 0.93 3.60 .0548 1 0.93 3.76 .0549 1 0.93 3.79 .0550 1 0.93 3.76 .0551 1 0.93 3.79 .0552 1 0.93 3.69 .0553 1 0.93 3.90 .0554 1 0.93 3.67 .0555 1 0.93 3.68 .0556 1 0.93 3.92 .0557 1 0.93 3.85 .0558 1 0.93 4.00 .0559 1 0.93 3.89 .0560 1 0.93 3.96 .0561 1 0.93 3.75 .0562 1 0.93 3.90 .0563 1 0.93 3.90 .0564 2 0.93 3.86 .0565 2 0.93 3.92 .0566 2 0.93 3.90 .0567 2 0.93 3.95 .0568 2 0.93 4.00 .0569 1 0.93 4.23 .0570 1 0.93 5.10 .0571 1 0.93 4.35 .0572 1 0.93 4.02 .0573 1 0.93 4.24 .0574 1 0.93 4.00 .0575 1 0.93 4.07 .0576 1 0.93 4.01 .0577 1 0.93 4.21 .0578 1 0.93 4.03 .0579 1 0.93 4.03 .0580 1 0.93 4.13 .0581 1 0.93 4.07 .0582 1 0.93 4.07 .0583 1 0.93 4.18 .0584 1 0.93 4.18 .0585 1 0.93 4.01 .0586 1 0.93 4.18 .0587 1 0.93 4.23 .0588 1 0.93 4.29 .0589 1 0.93 4.39 .0590 1 0.93 4.34 .0591 1 0.93 4.20 .0592 1 0.93 4.28 .0593 1 0.93 4.23 .0594 1 0.93 4.40 .0595 1 0.93 4.33 .0596 1 0.93 4.69 .0597 1 0.93 4.43 .0598 1 0.93 4.54 .0599 1 0.93 4.43 .0600 1 0.93 4.39 .0601 1 0.93 4.53 .0602 1 0.93 4.51 .0603 1 0.93 4.54 .0604 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4.16 .1881 1 0.92 3.92 .1882 1 0.92 4.23 .1883 1 0.92 4.09 .1884 1 0.92 4.06 .1885 1 0.92 4.20 .1886 1 0.92 4.09 .1887 1 0.92 4.11 .1888 1 0.92 4.10 .1889 1 0.92 4.09 .1890 1 0.92 4.06 .1891 1 0.92 4.17 .1892 1 0.92 4.21 .1893 1 0.92 4.13 .1894 1 0.92 4.20 .1895 1 0.92 4.23 .1896 1 0.92 3.93 .1897 1 0.92 4.25 .1898 1 0.92 4.09 .1899 2 0.92 4.10 .1900 1 0.92 4.09 .1901 1 0.92 4.12 .1902 1 0.92 4.06 .1903 1 0.92 4.21 .1904 1 0.92 4.09 .1905 1 0.92 4.10 .1906 1 0.92 4.05 .1907 1 0.92 4.24 .1908 1 0.92 4.09 .1909 1 0.92 4.13 .1910 1 0.92 4.08 .1911 1 0.92 4.17 .1912 1 0.92 4.01 .1913 1 0.92 3.97 .1914 1 0.92 4.07 .1915 1 0.92 4.13 .1916 1 0.92 4.24 .1917 1 0.92 4.14 .1918 1 0.92 4.00 .1919 1 0.92 4.68 .1920 3 0.92 4.16 .1921 1 0.92 4.05 .1922 1 0.92 4.13 .1923 1 0.92 4.03 .1924 1 0.92 4.29 .1925 1 0.92 4.06 .1926 1 0.92 4.20 .1927 1 0.92 4.07 .1928 1 0.92 4.73 .1929 1 0.92 4.02 .1930 1 0.92 4.18 .1931 1 0.92 4.15 .1932 1 0.92 4.22 .1933 1 0.92 4.05 .1934 1 0.92 4.33 .1935 1 0.92 4.26 .1936 1 0.92 4.38 .1937 1 0.92 4.01 .1938 1 0.92 4.24 .1939 1 0.92 4.15 .1940 1 0.92 4.08 .1941 1 0.92 4.17 .1942 1 0.92 4.06 .1943 1 0.92 4.05 .1944 1 0.92 4.27 .1945 1 0.92 3.84 .1946 1 0.92 4.00 .1947 1 0.92 3.89 .1948 1 0.92 3.84 .1949 1 0.92 4.04 .1950 1 0.92 4.07 .1951 1 0.92 3.89 .1952 1 0.92 3.95 .1953 1 0.92 3.87 .1954 1 0.92 3.82 .1955 1 0.92 3.84 .1956 1 0.92 3.90 .1957 1 0.92 3.90 .1958 1 0.92 3.80 .1959 1 0.92 3.90 .1960 1 0.92 3.98 .1961 1 0.92 3.87 .1962 2 0.92 3.95 .1963 1 0.92 4.48 .1964 1 0.92 4.04 .1965 1 0.92 4.14 .1966 1 0.92 4.00 .1967 1 0.92 3.90 .1968 1 0.92 4.44 .1969 1 0.92 4.17 .1970 2 0.92 4.24 .1971 2 0.92 4.29 .1972 1 0.92 4.09 .1973 2 0.92 3.94 .1974 1 0.92 4.41 .1975 1 0.92 4.08 .1976 1 0.92 3.89 .1977 1 0.92 4.49 .1978 1 0.92 4.10 .1979 1 0.92 4.01 .1980 1 0.92 3.97 .1981 1 0.92 4.15 .1982 1 0.92 4.15 .1983 1 0.92 4.21 .1984 1 0.92 4.25 .1985 1 0.92 3.95 .1986 1 0.92 3.97 .1987 1 0.92 3.96 .1988 1 0.92 3.99 .1989 1 0.92 3.93 .1990 1 0.92 4.27 .1991 1 0.92 4.33 .1992 1 0.92 3.91 .1993 1 0.92 3.84 .1994 1 0.92 3.79 .1995 1 0.92 3.71 .1996 1 0.92 3.80 .1997 1 0.92 3.70 .1998 1 0.92 3.50 .1999 1 0.92 3.94 .2000 1 0.92 3.85 .2001 1 0.92 4.06 .2002 1 0.92 3.76 .2003 1 0.92 3.90 .2004 1 0.92 3.91 .2005 1 0.92 4.02 .2006 1 0.92 3.85 .2007 1 0.92 3.84 .2008 1 0.92 3.77 .2009 2 0.92 4.23 .2010 1 0.92 4.40 .2011 1 0.92 4.12 .2012 1 0.92 4.19 .2013 1 0.92 4.10 .2014 1 0.92 4.08 .2015 1 0.92 4.20 .2016 1 0.92 4.22 .2017 1 0.92 4.08 .2018 1 0.92 4.11 .2019 1 0.92 4.24 .2020 1 0.92 3.99 .2021 1 0.92 3.99 .2022 1 0.92 4.11 .2023 1 0.92 3.79 .2024 1 0.92 3.95 .2025 1 0.92 3.87 .2026 1 0.92 3.95 .2027 1 0.92 3.94 .2028 1 0.92 3.70 .2029 1 0.92 3.94 .2030 1 0.92 3.87 .2031 1 0.92 3.93 .2032 1 0.92 3.86 .2033 1 0.92 3.41 .2034 1 0.92 3.67 .2035 1 0.92 3.84 .2036 1 0.92 3.75 .2037 1 0.92 3.42 .2038 1 0.92 3.65 .2039 1 0.92 3.58 .2040 1 0.92 3.79 .2041 1 0.92 3.58 .2042 1 0.92 3.79 .2043 1 0.92 3.65 .2044 1 0.92 3.85 .2045 1 0.92 4.06 .2046 1 0.92 3.75 .2047 1 0.92 3.70 EXTRACT_IMAGE: r2: masked 493 pixels SPCALIB: r2: First extraction chi^2 0.00000 10.2282 SPCALIB: r2: Second extraction chi^2 0.00000 9.33488 SUPERFLAT: r2: Creating superflat from 305 fibers highest breakpoint does not cover highest x value, changing .0000highest breakpoint does not cover highest x value, changing .0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r2: Number of fiberflat points LE 0 = 12902 SPCALIB: r2: Elapsed time = 814. seconds SPREDUCE: r2: Best flat = sdR-r2-00034591.fit SPREDUCE: r2: Best arc = sdR-r2-00034592.fit QAPLOT_ARCLINE: r2: Number of arc lines: 34 QAPLOT_ARCLINE: r2: Number of arc lines above 8000 Ang: 10 QAPLOT_ARCLINE: r2: Arcline 0: lambda= 5881.90 Ang, median dev= -0.002 pix, sigma dev= 0.012 pix QAPLOT_ARCLINE: r2: Arcline 1: lambda= 5944.83 Ang, median dev= -0.002 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 2: lambda= 6030.00 Ang, median dev= 0.017 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: r2: Arcline 3: lambda= 6074.34 Ang, median dev= 0.001 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 4: lambda= 6096.16 Ang, median dev= -0.007 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 5: lambda= 6143.06 Ang, median dev= -0.013 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 6: lambda= 6163.59 Ang, median dev= 0.003 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 7: lambda= 6217.28 Ang, median dev= 0.005 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r2: Arcline 8: lambda= 6266.49 Ang, median dev= 0.005 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r2: Arcline 9: lambda= 6304.79 Ang, median dev= 0.011 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 10: lambda= 6334.43 Ang, median dev= -0.002 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 11: lambda= 6382.99 Ang, median dev= 0.005 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 12: lambda= 6402.25 Ang, median dev= -0.012 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r2: Arcline 13: lambda= 6506.53 Ang, median dev= -0.001 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 14: lambda= 6532.88 Ang, median dev= 0.008 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 15: lambda= 6598.95 Ang, median dev= 0.004 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r2: Arcline 16: lambda= 6717.04 Ang, median dev= -0.001 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 17: lambda= 6929.47 Ang, median dev= -0.004 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 18: lambda= 7173.94 Ang, median dev= 0.000 pix, sigma dev= 0.012 pix QAPLOT_ARCLINE: r2: Arcline 19: lambda= 7245.17 Ang, median dev= -0.010 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r2: Arcline 20: lambda= 7438.90 Ang, median dev= -0.001 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r2: Arcline 21: lambda= 7488.87 Ang, median dev= 0.006 pix, sigma dev= 0.018 pix QAPLOT_ARCLINE: r2: Arcline 22: lambda= 7535.77 Ang, median dev= 0.014 pix, sigma dev= 0.019 pix QAPLOT_ARCLINE: r2: Arcline 23: lambda= 7635.11 Ang, median dev= 0.020 pix, sigma dev= 0.031 pix QAPLOT_ARCLINE: r2: Arcline 24: lambda= 8014.79 Ang, median dev= 0.018 pix, sigma dev= 0.089 pix QAPLOT_ARCLINE: r2: Arcline 25: lambda= 8103.69 Ang, median dev= 0.013 pix, sigma dev= 0.060 pix QAPLOT_ARCLINE: r2: Arcline 26: lambda= 8300.33 Ang, median dev= 0.031 pix, sigma dev= 0.024 pix QAPLOT_ARCLINE: r2: Arcline 27: lambda= 8377.61 Ang, median dev= -0.028 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: r2: Arcline 28: lambda= 8495.36 Ang, median dev= -0.007 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r2: Arcline 29: lambda= 8591.26 Ang, median dev= -0.006 pix, sigma dev= 0.025 pix QAPLOT_ARCLINE: r2: Arcline 30: lambda= 8634.65 Ang, median dev= -0.004 pix, sigma dev= 0.026 pix QAPLOT_ARCLINE: r2: Arcline 31: lambda= 8654.38 Ang, median dev= 0.029 pix, sigma dev= 0.021 pix QAPLOT_ARCLINE: r2: Arcline 32: lambda= 8853.87 Ang, median dev= -0.003 pix, sigma dev= 0.040 pix QAPLOT_ARCLINE: r2: Arcline 33: lambda= 9122.97 Ang, median dev= -0.005 pix, sigma dev= 0.103 pix SPREDUCE: sdR-r2-00034587.fit: Reading object sdR-r2-00034587.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034587.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034587.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034587.fit: Measured read-noise in DN for amp# 2 = 4.51939 SDSSPROC: sdR-r2-00034587.fit: Measured bias value in DN for amp# 2 = 483.968 SDSSPROC: sdR-r2-00034587.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034587.fit: Amp #2 Number of pix below bias-5*sigma= 462. DN is 0 SDSSPROC: sdR-r2-00034587.fit: Measured read-noise in DN for amp# 3 = 3.86833 SDSSPROC: sdR-r2-00034587.fit: Measured bias value in DN for amp# 3 = 1291.49 SDSSPROC: sdR-r2-00034587.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034587.fit: Amp #3 Number of pix below bias-5*sigma= 1271. DN is 0 SDSSPROC: sdR-r2-00034587.fit: Number of bleading columns = 1 SDSSPROC: sdR-r2-00034587.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034587.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034587.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034587.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034587.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034587.fit: Science 25-th-percentile = 1267.02 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202 EXTRACT_OBJECT: sdR-r2-00034587.fit: Whopping fibers: 5 12 14 20 23 27 29 33 38 40 46 55 62 64 66 70 78 80 86 96 102 105 112 130 132 141 144 149 151 157 159 170 197 205 207 209 211 217 226 238 245 251 275 278 303 316 EXTRACT_OBJECT: sdR-r2-00034587.fit: Median counts in all fibers = 26409.5 EXTRACT_OBJECT: sdR-r2-00034587.fit: Number of bright fibers = 46 EXTRACT_OBJECT: sdR-r2-00034587.fit: Sky fiber median 1904.69 EXTRACT_OBJECT: sdR-r2-00034587.fit: 5% and 95% count levels 1741.19 48774.5 EXTRACT_OBJECT: sdR-r2-00034587.fit: WARNING: Disable whopping terms sdR-r2-00034587.fit MATCH_TRACE: sdR-r2-00034587.fit: Iteration: 0 Pixels Rejected: 49012 Finished? 0 MATCH_TRACE: sdR-r2-00034587.fit: Iteration: 1 Pixels Rejected: 653 Finished? 0 MATCH_TRACE: sdR-r2-00034587.fit: Iteration: 2 Pixels Rejected: 68 Finished? 0 MATCH_TRACE: sdR-r2-00034587.fit: Iteration: 3 Pixels Rejected: 5 Finished? 0 MATCH_TRACE: sdR-r2-00034587.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-r2-00034587.fit: Warning: Large number of pixels rejected! 49738 EXTRACT_OBJECT: sdR-r2-00034587.fit: Shifting traces by match_trace 0.0631714 EXTRACT_OBJECT: sdR-r2-00034587.fit: Extracting frame sdR-r2-00034587.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034587.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 9.68 .0004 1 0.95 9.71 .0005 1 0.95 9.72 .0006 2 0.95 9.55 .0007 1 0.95 10.77 .0008 1 0.95 9.91 .0009 1 0.95 10.04 .0010 3 0.95 10.41 .0011 1 0.95 9.99 .0012 3 0.95 9.94 .0013 2 0.95 9.88 .0014 1 0.95 10.24 .0015 1 0.95 10.81 .0016 1 0.95 10.26 .0017 1 0.95 10.35 .0018 1 0.95 10.25 .0019 1 0.95 10.12 .0020 2 0.95 10.79 .0021 1 0.95 10.62 .0022 1 0.95 10.72 .0023 1 0.95 10.66 .0024 1 0.95 10.81 .0025 1 0.95 12.03 .0026 1 0.95 10.14 .0027 2 0.95 10.69 .0028 1 0.95 11.14 .0029 1 0.95 11.18 .0030 3 0.95 9.83 .0031 3 0.95 10.18 .0032 2 0.95 10.65 .0033 2 0.95 10.59 .0034 2 0.95 10.33 .0035 2 0.95 10.60 .0036 3 0.95 10.30 .0037 2 0.95 10.27 .0038 2 0.95 9.98 .0039 2 0.95 10.51 .0040 2 0.95 10.38 .0041 2 0.95 10.60 .0042 2 0.95 10.02 .0043 2 0.95 9.91 .0044 2 0.95 10.36 .0045 2 0.95 10.42 .0046 2 0.95 10.86 .0047 2 0.95 10.46 .0048 2 0.95 10.94 .0049 2 0.95 10.17 .0050 2 0.95 11.45 .0051 3 0.95 10.16 .0052 2 0.95 10.42 .0053 2 0.95 10.20 .0054 2 0.95 10.28 .0055 2 0.95 10.05 .0056 2 0.95 9.89 .0057 2 0.95 10.32 .0058 2 0.95 10.51 .0059 2 0.95 10.28 .0060 2 0.95 10.16 .0061 2 0.95 10.28 .0062 2 0.95 10.39 .0063 3 0.95 10.84 .0064 3 0.95 10.74 .0065 2 0.95 10.65 .0066 3 0.95 11.07 .0067 2 0.95 11.64 .0068 2 0.95 10.47 .0069 2 0.95 10.90 .0070 2 0.95 10.84 .0071 2 0.95 10.96 .0072 2 0.95 11.06 .0073 2 0.95 11.02 .0074 2 0.95 11.19 .0075 2 0.95 11.13 .0076 2 0.95 10.91 .0077 2 0.95 10.98 .0078 2 0.95 11.20 .0079 2 0.95 11.16 .0080 2 0.95 11.35 .0081 2 0.95 11.30 .0082 2 0.95 11.60 .0083 2 0.95 11.71 .0084 2 0.95 11.95 .0085 2 0.95 12.19 .0086 2 0.95 11.86 .0087 3 0.95 12.35 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0.91 8.05 .1636 2 0.91 7.90 .1637 1 0.91 7.66 .1638 2 0.91 7.63 .1639 1 0.91 7.44 .1640 1 0.91 7.69 .1641 2 0.92 7.46 .1642 1 0.92 7.56 .1643 1 0.92 7.50 .1644 1 0.92 7.58 .1645 1 0.92 7.79 .1646 2 0.92 7.69 .1647 2 0.92 7.62 .1648 1 0.92 7.41 .1649 1 0.92 7.80 .1650 3 0.92 7.69 .1651 3 0.92 7.60 .1652 1 0.92 7.19 .1653 1 0.92 7.31 .1654 1 0.92 7.42 .1655 1 0.92 7.74 .1656 3 0.92 8.00 .1657 1 0.92 7.98 .1658 1 0.92 7.69 .1659 2 0.92 7.60 .1660 1 0.92 7.47 .1661 2 0.92 7.88 .1662 2 0.92 7.45 .1663 1 0.92 7.55 .1664 2 0.92 7.50 .1665 1 0.92 7.74 .1666 1 0.92 7.62 .1667 1 0.92 7.42 .1668 1 0.92 7.01 .1669 2 0.92 7.10 .1670 2 0.92 7.75 .1671 2 0.92 7.42 .1672 2 0.92 7.59 .1673 3 0.92 8.07 .1674 3 0.92 7.61 .1675 2 0.92 7.55 .1676 2 0.92 7.78 .1677 1 0.92 7.35 .1678 2 0.92 8.08 .1679 1 0.92 7.38 .1680 1 0.92 7.78 .1681 2 0.92 8.08 .1682 1 0.92 7.68 .1683 1 0.92 7.59 .1684 2 0.92 7.27 .1685 1 0.92 7.26 .1686 1 0.92 7.44 .1687 1 0.92 7.28 .1688 1 0.92 7.46 .1689 1 0.92 7.27 .1690 2 0.92 7.56 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0.92 7.33 .1747 2 0.92 7.51 .1748 2 0.92 7.14 .1749 1 0.92 6.94 .1750 1 0.92 7.06 .1751 3 0.92 7.07 .1752 1 0.92 7.29 .1753 5 0.92 6.87 .1754 3 0.92 7.04 .1755 1 0.92 6.91 .1756 1 0.92 6.74 .1757 2 0.92 7.17 .1758 2 0.92 6.99 .1759 1 0.92 6.96 .1760 2 0.92 6.76 .1761 1 0.92 6.96 .1762 1 0.92 7.01 .1763 1 0.92 6.75 .1764 2 0.92 6.87 .1765 3 0.92 6.76 .1766 1 0.92 6.66 .1767 1 0.92 7.27 .1768 2 0.92 7.17 .1769 1 0.92 6.93 .1770 1 0.92 6.71 .1771 1 0.92 6.85 .1772 1 0.92 7.54 .1773 2 0.92 6.87 .1774 2 0.92 6.55 .1775 1 0.92 6.43 .1776 1 0.92 7.03 .1777 2 0.92 6.70 .1778 2 0.92 6.88 .1779 2 0.92 6.77 .1780 1 0.92 6.60 .1781 1 0.92 6.94 .1782 1 0.92 7.05 .1783 2 0.92 7.00 .1784 2 0.92 6.62 .1785 2 0.92 6.52 .1786 1 0.92 7.26 .1787 1 0.92 7.57 .1788 2 0.92 6.91 .1789 2 0.92 6.58 .1790 1 0.92 6.81 .1791 1 0.92 6.54 .1792 1 0.92 7.12 .1793 1 0.92 7.12 .1794 1 0.92 7.01 .1795 2 0.92 7.10 .1796 2 0.92 6.89 .1797 2 0.92 7.35 .1798 2 0.92 7.04 .1799 2 0.92 7.18 .1800 2 0.92 7.00 .1801 2 0.92 7.04 .1802 2 0.92 7.52 .1803 3 0.92 7.19 .1804 2 0.92 7.45 .1805 1 0.92 7.44 .1806 1 0.92 6.90 .1807 2 0.92 7.60 .1808 2 0.92 7.85 .1809 1 0.92 7.59 .1810 1 0.92 7.27 .1811 1 0.92 7.26 .1812 2 0.92 7.53 .1813 1 0.92 8.03 .1814 2 0.92 7.63 .1815 2 0.92 7.29 .1816 1 0.92 7.44 .1817 1 0.92 7.50 .1818 1 0.92 7.55 .1819 1 0.92 7.48 .1820 2 0.92 7.32 .1821 1 0.92 7.45 .1822 1 0.92 8.25 .1823 1 0.92 7.99 .1824 2 0.92 8.17 .1825 2 0.92 7.24 .1826 1 0.92 7.35 .1827 1 0.92 7.01 .1828 1 0.92 7.39 .1829 4 0.92 6.82 .1830 2 0.92 7.33 .1831 1 0.92 6.71 .1832 2 0.92 7.11 .1833 2 0.92 6.76 .1834 2 0.92 6.78 .1835 2 0.92 7.21 .1836 2 0.92 6.95 .1837 2 0.92 6.91 .1838 1 0.92 7.13 .1839 1 0.92 6.90 .1840 1 0.92 7.03 .1841 1 0.92 6.96 .1842 1 0.92 6.84 .1843 2 0.92 7.15 .1844 2 0.92 7.58 .1845 1 0.92 6.81 .1846 2 0.92 6.80 .1847 1 0.92 6.79 .1848 1 0.92 6.66 .1849 1 0.92 6.94 .1850 2 0.92 6.79 .1851 1 0.92 6.75 .1852 1 0.92 7.44 .1853 2 0.92 7.48 .1854 1 0.92 7.15 .1855 2 0.92 7.09 .1856 3 0.92 7.13 .1857 1 0.92 7.29 .1858 1 0.92 7.04 .1859 1 0.92 8.07 .1860 1 0.92 7.30 .1861 1 0.92 8.28 .1862 2 0.92 8.16 .1863 1 0.92 7.44 .1864 1 0.92 7.37 .1865 2 0.92 7.56 .1866 1 0.92 7.38 .1867 1 0.92 7.42 .1868 1 0.92 7.61 .1869 2 0.92 7.62 .1870 3 0.92 7.89 .1871 2 0.92 8.11 .1872 2 0.92 7.65 .1873 1 0.92 7.68 .1874 1 0.92 7.37 .1875 1 0.92 7.77 .1876 1 0.92 7.30 .1877 2 0.92 7.05 .1878 1 0.92 7.05 .1879 1 0.92 6.98 .1880 1 0.92 7.26 .1881 2 0.92 7.87 .1882 2 0.92 7.67 .1883 1 0.92 7.53 .1884 1 0.92 7.30 .1885 1 0.92 7.26 .1886 2 0.92 7.08 .1887 1 0.92 7.20 .1888 2 0.92 7.75 .1889 1 0.92 7.27 .1890 1 0.92 7.29 .1891 2 0.92 7.23 .1892 1 0.92 7.19 .1893 1 0.92 7.42 .1894 1 0.92 6.88 .1895 1 0.92 7.62 .1896 2 0.92 7.60 .1897 1 0.92 7.55 .1898 1 0.92 7.63 .1899 2 0.92 7.26 .1900 1 0.92 7.44 .1901 1 0.92 7.33 .1902 3 0.92 7.45 .1903 3 0.92 8.17 .1904 2 0.92 7.09 .1905 2 0.92 7.22 .1906 2 0.92 6.89 .1907 2 0.92 6.98 .1908 2 0.92 6.65 .1909 2 0.92 7.27 .1910 2 0.92 7.12 .1911 1 0.92 6.28 .1912 1 0.92 6.48 .1913 2 0.92 6.70 .1914 3 0.92 6.33 .1915 1 0.92 6.32 .1916 1 0.92 6.32 .1917 1 0.92 6.46 .1918 3 0.92 5.89 .1919 3 0.92 5.97 .1920 2 0.92 5.98 .1921 1 0.92 5.74 .1922 1 0.92 5.82 .1923 1 0.92 6.05 .1924 2 0.92 6.00 .1925 1 0.92 5.99 .1926 2 0.92 6.49 .1927 1 0.92 5.70 .1928 2 0.92 5.89 .1929 1 0.92 6.04 .1930 2 0.92 5.87 .1931 2 0.92 6.31 .1932 1 0.92 5.95 .1933 1 0.92 6.22 .1934 2 0.92 6.22 .1935 1 0.92 6.41 .1936 2 0.92 6.22 .1937 1 0.92 6.34 .1938 1 0.92 6.33 .1939 1 0.92 6.42 .1940 1 0.92 6.44 .1941 1 0.92 6.42 .1942 1 0.92 7.12 .1943 1 0.92 6.44 .1944 1 0.92 6.71 .1945 1 0.92 6.68 .1946 2 0.92 6.88 .1947 1 0.92 6.60 .1948 2 0.92 6.53 .1949 2 0.92 6.35 .1950 2 0.92 6.47 .1951 1 0.92 6.41 .1952 1 0.92 6.50 .1953 1 0.92 6.25 .1954 2 0.92 6.51 .1955 2 0.92 6.45 .1956 1 0.92 6.48 .1957 1 0.92 6.25 .1958 1 0.92 6.35 .1959 1 0.92 6.20 .1960 1 0.92 6.44 .1961 1 0.92 6.17 .1962 1 0.92 6.22 .1963 1 0.92 6.02 .1964 1 0.92 6.22 .1965 1 0.92 6.74 .1966 1 0.92 6.16 .1967 3 0.92 5.94 .1968 2 0.92 6.98 .1969 2 0.92 6.40 .1970 1 0.92 6.30 .1971 1 0.92 6.29 .1972 1 0.92 6.27 .1973 3 0.92 6.40 .1974 1 0.92 6.19 .1975 2 0.92 6.20 .1976 1 0.92 6.48 .1977 3 0.92 6.28 .1978 1 0.92 7.23 .1979 1 0.92 6.34 .1980 1 0.92 6.38 .1981 3 0.92 7.42 .1982 2 0.92 6.17 .1983 2 0.92 6.35 .1984 2 0.92 6.94 .1985 1 0.92 6.61 .1986 1 0.92 6.37 .1987 4 0.92 6.33 .1988 2 0.92 6.84 .1989 2 0.92 6.28 .1990 1 0.92 6.24 .1991 2 0.92 6.11 .1992 2 0.92 6.18 .1993 1 0.92 6.38 .1994 2 0.92 5.92 .1995 1 0.92 6.25 .1996 1 0.92 6.32 .1997 2 0.92 6.44 .1998 2 0.92 6.27 .1999 2 0.92 6.45 .2000 1 0.92 5.96 .2001 2 0.92 5.98 .2002 1 0.92 5.84 .2003 1 0.92 5.85 .2004 1 0.92 6.04 .2005 2 0.92 6.06 .2006 2 0.92 6.32 .2007 2 0.92 5.86 .2008 2 0.92 5.99 .2009 2 0.92 6.44 .2010 2 0.92 6.28 .2011 1 0.92 6.23 .2012 1 0.92 5.83 .2013 2 0.92 5.99 .2014 2 0.92 6.56 .2015 4 0.92 6.26 .2016 3 0.92 6.47 .2017 2 0.92 6.48 .2018 2 0.92 6.25 .2019 2 0.92 6.30 .2020 1 0.92 6.20 .2021 1 0.92 6.14 .2022 2 0.92 5.96 .2023 2 0.92 6.13 .2024 2 0.92 6.02 .2025 1 0.92 5.97 .2026 1 0.92 5.87 .2027 1 0.92 6.04 .2028 1 0.92 6.08 .2029 1 0.92 6.19 .2030 1 0.92 6.09 .2031 2 0.92 5.76 .2032 3 0.92 5.74 .2033 3 0.92 5.72 .2034 1 0.92 6.09 .2035 2 0.92 5.73 .2036 1 0.92 6.17 .2037 2 0.92 5.51 .2038 2 0.92 5.61 .2039 2 0.92 5.85 .2040 3 0.92 5.42 .2041 2 0.92 5.44 .2042 2 0.92 5.77 .2043 2 0.92 5.70 .2044 2 0.92 5.87 .2045 2 0.92 5.86 .2046 2 0.92 5.19 .2047 2 0.92 5.12 EXTRACT_IMAGE: sdR-r2-00034587.fit: masked 1162 pixels EXTRACT_OBJECT: sdR-r2-00034587.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034587.fit: WARNING: Scattered light median = 378.628 electrons QAPLOT_SCATLIGHT: sdR-r2-00034587.fit: WARNING: Scattered light max = 705.130 electrons EXTRACT_OBJECT: sdR-r2-00034587.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034587.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034587.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034587.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.14 Step 12 of 2112 0.58 96 0.02 0.14 Step 20 of 2112 0.58 96 0.02 0.14 Step 28 of 2112 0.59 96 0.02 0.14 Step 36 of 2112 0.59 96 0.02 0.14 Step 44 of 2112 0.59 96 0.02 0.14 Step 52 of 2112 0.59 96 0.02 0.14 Step 60 of 2112 0.59 96 0.02 0.16 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.16 Step 84 of 2112 0.59 96 0.02 0.14 Step 92 of 2112 0.59 96 0.02 0.14 Step 100 of 2112 0.60 96 0.02 0.14 Step 108 of 2112 0.60 96 0.02 0.14 Step 116 of 2112 0.60 96 0.02 0.14 Step 124 of 2112 0.60 96 0.02 0.14 Step 132 of 2112 0.60 96 0.02 0.14 Step 140 of 2112 0.60 96 0.02 0.14 Step 148 of 2112 0.60 96 0.02 0.14 Step 156 of 2112 0.60 96 0.02 0.14 Step 164 of 2112 0.61 96 0.02 0.14 Step 172 of 2112 0.61 96 0.02 0.14 Step 180 of 2112 0.61 96 0.02 0.14 Step 188 of 2112 0.61 96 0.02 0.14 Step 196 of 2112 0.61 96 0.02 0.14 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.15 Step 228 of 2112 0.62 96 0.02 0.15 Step 236 of 2112 0.62 96 0.02 0.15 Step 244 of 2112 0.62 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.14 Step 260 of 2112 0.62 96 0.02 0.14 Step 268 of 2112 0.62 96 0.02 0.14 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.14 Step 292 of 2112 0.62 96 0.02 0.14 Step 300 of 2112 0.63 96 0.02 0.14 Step 308 of 2112 0.63 96 0.02 0.14 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.16 Step 356 of 2112 0.63 96 0.02 0.16 Step 364 of 2112 0.64 96 0.02 0.18 Step 372 of 2112 0.64 96 0.02 0.16 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.16 Step 396 of 2112 0.64 96 0.02 0.16 Step 404 of 2112 0.64 96 0.02 0.16 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.65 96 0.02 0.15 Step 436 of 2112 0.65 96 0.02 0.15 Step 444 of 2112 0.65 96 0.01 0.16 Step 452 of 2112 0.65 96 0.01 0.16 Step 460 of 2112 0.65 96 0.01 0.15 Step 468 of 2112 0.65 96 0.01 0.15 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 96 0.02 0.15 Step 492 of 2112 0.66 96 0.01 0.15 Step 500 of 2112 0.66 96 0.01 0.15 Step 508 of 2112 0.66 96 0.01 0.15 Step 516 of 2112 0.66 96 0.01 0.15 Step 524 of 2112 0.66 96 0.01 0.14 Step 532 of 2112 0.66 96 0.01 0.16 Step 540 of 2112 0.66 96 0.01 0.15 Step 548 of 2112 0.66 96 0.01 0.15 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.16 Step 572 of 2112 0.67 96 0.02 0.15 Step 580 of 2112 0.67 96 0.02 0.15 Step 588 of 2112 0.67 96 0.02 0.15 Step 596 of 2112 0.67 96 0.02 0.15 Step 604 of 2112 0.67 96 0.02 0.16 Step 612 of 2112 0.68 96 0.02 0.15 Step 620 of 2112 0.68 96 0.02 0.16 Step 628 of 2112 0.68 96 0.02 0.16 Step 636 of 2112 0.68 96 0.02 0.15 Step 644 of 2112 0.68 128 0.03 0.21 Step 652 of 2112 0.68 128 0.03 0.22 Step 660 of 2112 0.68 128 0.03 0.22 Step 668 of 2112 0.68 128 0.03 0.20 Step 676 of 2112 0.69 128 0.02 0.22 Step 684 of 2112 0.69 128 0.03 0.22 Step 692 of 2112 0.69 128 0.02 0.22 Step 700 of 2112 0.69 128 0.02 0.22 Step 708 of 2112 0.69 128 0.03 0.21 Step 716 of 2112 0.69 128 0.02 0.21 Step 724 of 2112 0.69 128 0.02 0.22 Step 732 of 2112 0.69 128 0.02 0.21 Step 740 of 2112 0.70 128 0.02 0.21 Step 748 of 2112 0.70 128 0.02 0.23 Step 756 of 2112 0.70 128 0.02 0.23 Step 764 of 2112 0.70 128 0.02 0.21 Step 772 of 2112 0.70 128 0.02 0.20 Step 780 of 2112 0.70 128 0.02 0.21 Step 788 of 2112 0.70 128 0.02 0.20 Step 796 of 2112 0.71 128 0.02 0.18 Step 804 of 2112 0.71 128 0.02 0.20 Step 812 of 2112 0.71 128 0.03 0.21 Step 820 of 2112 0.71 128 0.02 0.21 Step 828 of 2112 0.71 128 0.03 0.22 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.04 0.22 Step 852 of 2112 0.71 128 0.03 0.22 Step 860 of 2112 0.72 128 0.01 0.20 Step 868 of 2112 0.72 128 0.01 0.20 Step 876 of 2112 0.72 128 0.03 0.21 Step 884 of 2112 0.72 128 0.03 0.22 Step 892 of 2112 0.72 128 0.02 0.21 Step 900 of 2112 0.72 128 0.02 0.20 Step 908 of 2112 0.72 128 0.02 0.20 Step 916 of 2112 0.73 128 0.03 0.20 Step 924 of 2112 0.73 128 0.03 0.20 Step 932 of 2112 0.73 128 0.02 0.21 Step 940 of 2112 0.73 128 0.02 0.20 Step 948 of 2112 0.73 128 0.02 0.20 Step 956 of 2112 0.73 128 0.03 0.21 Step 964 of 2112 0.73 128 0.03 0.21 Step 972 of 2112 0.73 128 0.03 0.22 Step 980 of 2112 0.74 128 0.02 0.20 Step 988 of 2112 0.74 128 0.03 0.21 Step 996 of 2112 0.74 128 0.02 0.21 Step 1004 of 2112 0.74 128 0.03 0.21 Step 1012 of 2112 0.74 128 0.03 0.22 Step 1020 of 2112 0.74 128 0.02 0.21 Step 1028 of 2112 0.74 128 0.02 0.20 Step 1036 of 2112 0.75 128 0.02 0.20 Step 1044 of 2112 0.75 128 0.02 0.19 Step 1052 of 2112 0.75 128 0.03 0.20 Step 1060 of 2112 0.75 128 0.03 0.20 Step 1068 of 2112 0.75 128 0.02 0.19 Step 1076 of 2112 0.75 128 0.03 0.20 Step 1084 of 2112 0.75 128 0.03 0.21 Step 1092 of 2112 0.75 160 0.03 0.32 Step 1100 of 2112 0.76 160 0.03 0.32 Step 1108 of 2112 0.76 160 0.03 0.32 Step 1116 of 2112 0.76 160 0.03 0.32 Step 1124 of 2112 0.76 160 0.03 0.32 Step 1132 of 2112 0.76 160 0.03 0.32 Step 1140 of 2112 0.76 160 0.04 0.33 Step 1148 of 2112 0.76 160 0.04 0.33 Step 1156 of 2112 0.77 160 0.04 0.34 Step 1164 of 2112 0.77 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.04 0.34 Step 1180 of 2112 0.77 160 0.03 0.34 Step 1188 of 2112 0.77 160 0.03 0.34 Step 1196 of 2112 0.77 160 0.03 0.35 Step 1204 of 2112 0.77 160 0.03 0.34 Step 1212 of 2112 0.78 160 0.04 0.38 Step 1220 of 2112 0.78 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.04 0.33 Step 1236 of 2112 0.78 160 0.03 0.35 Step 1244 of 2112 0.78 160 0.03 0.33 Step 1252 of 2112 0.78 160 0.03 0.33 Step 1260 of 2112 0.78 160 0.03 0.33 Step 1268 of 2112 0.78 160 0.03 0.32 Step 1276 of 2112 0.79 160 0.03 0.35 Step 1284 of 2112 0.79 160 0.03 0.34 Step 1292 of 2112 0.79 160 0.03 0.37 Step 1300 of 2112 0.79 160 0.03 0.34 Step 1308 of 2112 0.79 160 0.03 0.36 Step 1316 of 2112 0.79 160 0.03 0.33 Step 1324 of 2112 0.79 160 0.03 0.34 Step 1332 of 2112 0.80 160 0.03 0.35 Step 1340 of 2112 0.80 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.33 Step 1356 of 2112 0.80 160 0.03 0.39 Step 1364 of 2112 0.80 160 0.03 0.36 Step 1372 of 2112 0.80 160 0.03 0.36 Step 1380 of 2112 0.80 160 0.03 0.43 Step 1388 of 2112 0.81 160 0.03 0.40 Step 1396 of 2112 0.81 160 0.03 0.40 Step 1404 of 2112 0.81 160 0.03 0.32 Step 1412 of 2112 0.81 160 0.04 0.33 Step 1420 of 2112 0.81 160 0.03 0.32 Step 1428 of 2112 0.81 160 0.03 0.33 Step 1436 of 2112 0.81 160 0.03 0.33 Step 1444 of 2112 0.82 160 0.03 0.32 Step 1452 of 2112 0.82 192 0.03 0.38 Step 1460 of 2112 0.82 192 0.04 0.38 Step 1468 of 2112 0.82 192 0.03 0.37 Step 1476 of 2112 0.82 192 0.04 0.37 Step 1484 of 2112 0.82 192 0.04 0.37 Step 1492 of 2112 0.82 192 0.04 0.37 Step 1500 of 2112 0.82 192 0.03 0.36 Step 1508 of 2112 0.83 192 0.03 0.36 Step 1516 of 2112 0.83 192 0.04 0.38 Step 1524 of 2112 0.83 192 0.04 0.36 Step 1532 of 2112 0.83 192 0.04 0.36 Step 1540 of 2112 0.83 192 0.04 0.36 Step 1548 of 2112 0.83 192 0.04 0.36 Step 1556 of 2112 0.83 192 0.04 0.37 Step 1564 of 2112 0.84 192 0.05 0.38 Step 1572 of 2112 0.84 192 0.05 0.37 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.04 0.37 Step 1596 of 2112 0.84 192 0.04 0.37 Step 1604 of 2112 0.84 192 0.05 0.37 Step 1612 of 2112 0.84 192 0.04 0.36 Step 1620 of 2112 0.85 192 0.04 0.40 Step 1628 of 2112 0.85 192 0.04 0.38 Step 1636 of 2112 0.85 192 0.04 0.39 Step 1644 of 2112 0.85 192 0.04 0.37 Step 1652 of 2112 0.85 192 0.04 0.40 Step 1660 of 2112 0.85 192 0.04 0.38 Step 1668 of 2112 0.85 192 0.05 0.40 Step 1676 of 2112 0.86 192 0.04 0.38 Step 1684 of 2112 0.86 192 0.04 0.38 Step 1692 of 2112 0.86 192 0.04 0.43 Step 1700 of 2112 0.86 192 0.05 0.43 Step 1708 of 2112 0.86 192 0.04 0.40 Step 1716 of 2112 0.86 192 0.05 0.38 Step 1724 of 2112 0.86 192 0.05 0.40 Step 1732 of 2112 0.87 192 0.04 0.41 Step 1740 of 2112 0.87 192 0.05 0.40 Step 1748 of 2112 0.87 224 0.03 0.49 Step 1756 of 2112 0.87 224 0.05 0.47 Step 1764 of 2112 0.87 224 0.04 0.50 Step 1772 of 2112 0.87 224 0.03 0.52 Step 1780 of 2112 0.87 224 0.03 0.52 Step 1788 of 2112 0.88 224 0.03 0.50 Step 1796 of 2112 0.88 224 0.04 0.48 Step 1804 of 2112 0.88 224 0.03 0.57 Step 1812 of 2112 0.88 224 0.04 0.51 Step 1820 of 2112 0.88 224 0.04 0.48 Step 1828 of 2112 0.88 224 0.05 0.50 Step 1836 of 2112 0.88 224 0.04 0.48 Step 1844 of 2112 0.89 224 0.06 0.48 Step 1852 of 2112 0.89 224 0.05 0.53 Step 1860 of 2112 0.89 224 0.05 0.48 Step 1868 of 2112 0.89 224 0.05 0.48 Step 1876 of 2112 0.89 224 0.04 0.53 Step 1884 of 2112 0.89 224 0.05 0.50 Step 1892 of 2112 0.89 224 0.05 0.50 Step 1900 of 2112 0.90 224 0.05 0.48 Step 1908 of 2112 0.90 224 0.05 0.49 Step 1916 of 2112 0.90 224 0.04 0.47 Step 1924 of 2112 0.90 224 0.04 0.48 Step 1932 of 2112 0.90 224 0.04 0.48 Step 1940 of 2112 0.90 224 0.05 0.47 Step 1948 of 2112 0.90 224 0.04 0.48 Step 1956 of 2112 0.91 224 0.04 0.47 Step 1964 of 2112 0.91 224 0.04 0.47 Step 1972 of 2112 0.91 224 0.04 0.51 Step 1980 of 2112 0.91 224 0.05 0.47 Step 1988 of 2112 0.91 224 0.04 0.52 Step 1996 of 2112 0.91 256 0.04 0.52 Step 2004 of 2112 0.91 256 0.05 0.52 Step 2012 of 2112 0.92 256 0.04 0.53 Step 2020 of 2112 0.92 256 0.05 0.55 Step 2028 of 2112 0.92 256 0.04 0.50 Step 2036 of 2112 0.92 256 0.05 0.53 Step 2044 of 2112 0.92 256 0.04 0.53 Step 2052 of 2112 0.92 256 0.04 0.52 Step 2060 of 2112 0.92 256 0.05 0.54 Step 2068 of 2112 0.93 256 0.06 0.53 Step 2076 of 2112 0.93 256 0.05 0.50 Step 2084 of 2112 0.93 256 0.05 0.50 Step 2092 of 2112 0.93 256 0.05 0.50 Step 2100 of 2112 0.93 256 0.05 0.50 Step 2108 of 2112 0.93 256 0.05 0.52 EXTRACT_OBJECT: sdR-r2-00034587.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 9.44 .0004 1 0.95 9.44 .0005 1 0.95 9.44 .0006 2 0.95 9.25 .0007 1 0.95 10.45 .0008 1 0.95 9.57 .0009 1 0.95 9.70 .0010 3 0.95 10.05 .0011 1 0.95 9.61 .0012 3 0.95 9.55 .0013 2 0.95 9.48 .0014 1 0.95 9.83 .0015 1 0.95 10.38 .0016 1 0.95 9.85 .0017 1 0.95 9.95 .0018 1 0.95 9.83 .0019 1 0.95 9.69 .0020 2 0.95 10.34 .0021 1 0.95 10.17 .0022 1 0.95 10.27 .0023 1 0.95 10.21 .0024 1 0.95 10.38 .0025 1 0.95 11.56 .0026 2 0.95 9.20 .0027 2 0.95 10.25 .0028 2 0.95 10.13 .0029 2 0.95 10.14 .0030 3 0.95 9.35 .0031 2 0.95 9.71 .0032 2 0.95 10.16 .0033 2 0.95 10.11 .0034 2 0.95 9.84 .0035 2 0.95 10.11 .0036 3 0.95 9.78 .0037 2 0.95 9.78 .0038 2 0.95 9.50 .0039 2 0.95 10.02 .0040 2 0.95 9.90 .0041 2 0.95 10.10 .0042 2 0.95 9.54 .0043 2 0.95 9.40 .0044 2 0.95 9.86 .0045 2 0.95 9.90 .0046 2 0.95 10.36 .0047 2 0.95 9.97 .0048 2 0.95 10.41 .0049 2 0.95 9.66 .0050 2 0.95 10.94 .0051 3 0.95 9.65 .0052 2 0.95 9.89 .0053 2 0.95 9.70 .0054 2 0.95 9.76 .0055 2 0.95 9.52 .0056 2 0.95 9.35 .0057 2 0.95 9.80 .0058 2 0.95 10.01 .0059 2 0.95 9.73 .0060 2 0.95 9.63 .0061 2 0.95 9.74 .0062 2 0.95 9.86 .0063 4 0.95 9.78 .0064 3 0.95 10.19 .0065 2 0.95 10.11 .0066 3 0.95 10.52 .0067 2 0.95 11.13 .0068 2 0.95 9.92 .0069 2 0.95 10.35 .0070 2 0.95 10.25 .0071 2 0.95 10.39 .0072 2 0.95 10.49 .0073 2 0.95 10.45 .0074 2 0.95 10.61 .0075 2 0.95 10.57 .0076 2 0.95 10.32 .0077 2 0.95 10.41 .0078 2 0.95 10.63 .0079 2 0.95 10.59 .0080 2 0.95 10.77 .0081 2 0.95 10.72 .0082 2 0.95 11.00 .0083 2 0.95 11.10 .0084 2 0.95 11.37 .0085 2 0.95 11.57 .0086 2 0.95 11.26 .0087 3 0.95 11.74 .0088 2 0.95 11.41 .0089 3 0.95 10.35 .0090 3 0.95 12.23 .0091 3 0.95 10.64 .0092 3 0.95 11.15 .0093 3 0.95 10.76 .0094 3 0.95 10.91 .0095 3 0.95 11.15 .0096 3 0.95 11.00 .0097 3 0.95 11.08 .0098 3 0.95 11.15 .0099 3 0.95 11.26 .0100 3 0.95 11.35 .0101 3 0.95 11.29 .0102 3 0.95 11.16 .0103 2 0.95 11.45 .0104 2 0.95 11.05 .0105 2 0.95 11.85 .0106 2 0.95 11.88 .0107 2 0.95 11.50 .0108 2 0.95 11.67 .0109 2 0.95 11.59 .0110 2 0.95 12.84 .0111 3 0.95 11.92 .0112 2 0.95 11.96 .0113 2 0.95 12.18 .0114 2 0.95 12.41 .0115 2 0.95 11.94 .0116 2 0.95 12.47 .0117 2 0.95 12.41 .0118 2 0.95 12.16 .0119 2 0.95 12.15 .0120 2 0.95 12.47 .0121 2 0.95 13.21 .0122 2 0.95 12.71 .0123 2 0.95 12.66 .0124 2 0.95 13.07 .0125 3 0.95 12.73 .0126 2 0.95 12.88 .0127 2 0.95 13.51 .0128 2 0.95 13.09 .0129 2 0.95 13.35 .0130 3 0.95 13.43 .0131 2 0.95 14.00 .0132 2 0.95 12.99 .0133 2 0.95 13.64 .0134 2 0.95 13.25 .0135 2 0.95 13.43 .0136 2 0.95 14.31 .0137 2 0.95 14.24 .0138 2 0.95 13.91 .0139 2 0.95 13.64 .0140 3 0.95 15.04 .0141 3 0.95 14.82 .0142 2 0.95 13.89 .0143 2 0.95 13.76 .0144 2 0.95 15.04 .0145 2 0.95 14.59 .0146 2 0.95 14.81 .0147 2 0.95 14.62 .0148 3 0.95 14.88 .0149 2 0.95 14.87 .0150 2 0.95 14.38 .0151 2 0.95 15.52 .0152 2 0.95 15.70 .0153 2 0.95 16.20 .0154 2 0.95 16.57 .0155 2 0.95 16.08 .0156 2 0.95 16.40 .0157 2 0.95 16.98 .0158 2 0.95 16.59 .0159 2 0.95 15.77 .0160 2 0.95 15.43 .0161 2 0.95 15.39 .0162 2 0.95 15.37 .0163 2 0.95 15.97 .0164 2 0.95 17.95 .0165 2 0.95 16.70 .0166 2 0.95 16.11 .0167 2 0.95 16.28 .0168 2 0.95 15.72 .0169 2 0.95 16.59 .0170 2 0.95 16.20 .0171 2 0.95 16.28 .0172 2 0.95 16.53 .0173 2 0.95 16.21 .0174 2 0.95 15.75 .0175 2 0.95 15.79 .0176 2 0.95 15.62 .0177 2 0.95 14.97 .0178 2 0.95 16.93 .0179 2 0.95 16.04 .0180 2 0.95 16.16 .0181 2 0.95 15.79 .0182 2 0.95 15.27 .0183 2 0.95 16.46 .0184 1 0.95 17.38 .0185 2 0.95 17.18 .0186 1 0.95 16.13 .0187 1 0.95 15.84 .0188 1 0.95 16.16 .0189 1 0.95 16.58 .0190 2 0.95 16.61 .0191 1 0.95 15.96 .0192 2 0.95 15.70 .0193 1 0.95 15.67 .0194 2 0.95 15.80 .0195 1 0.95 16.35 .0196 1 0.95 16.24 .0197 1 0.95 17.30 .0198 2 0.95 15.33 .0199 2 0.95 15.69 .0200 2 0.95 15.49 .0201 1 0.95 15.69 .0202 1 0.95 15.83 .0203 1 0.95 15.63 .0204 1 0.95 15.27 .0205 1 0.95 15.23 .0206 1 0.95 14.97 .0207 1 0.95 15.04 .0208 1 0.95 15.02 .0209 1 0.95 15.86 .0210 1 0.95 15.21 .0211 1 0.95 16.37 .0212 2 0.95 16.69 .0213 1 0.95 15.34 .0214 2 0.95 15.40 .0215 2 0.95 15.52 .0216 2 0.95 15.93 .0217 1 0.95 15.82 .0218 1 0.95 15.37 .0219 1 0.95 15.06 .0220 1 0.95 15.11 .0221 1 0.95 16.28 .0222 1 0.95 16.36 .0223 2 0.95 14.82 .0224 2 0.95 14.73 .0225 2 0.95 15.44 .0226 1 0.95 15.28 .0227 1 0.95 15.02 .0228 1 0.95 15.20 .0229 2 0.95 15.40 .0230 1 0.95 15.23 .0231 1 0.95 15.28 .0232 1 0.95 15.31 .0233 1 0.95 16.04 .0234 1 0.95 15.67 .0235 1 0.95 16.94 .0236 2 0.95 15.61 .0237 1 0.95 15.77 .0238 1 0.95 15.95 .0239 1 0.95 16.24 .0240 1 0.95 16.68 .0241 1 0.95 16.90 .0242 2 0.95 17.05 .0243 2 0.95 16.72 .0244 2 0.95 16.38 .0245 1 0.95 16.63 .0246 1 0.95 16.42 .0247 1 0.95 16.58 .0248 1 0.95 16.90 .0249 1 0.95 16.60 .0250 1 0.95 16.89 .0251 1 0.95 17.02 .0252 1 0.95 17.23 .0253 1 0.95 16.89 .0254 1 0.95 18.62 .0255 1 0.95 18.62 .0256 1 0.95 17.43 .0257 1 0.95 17.69 .0258 1 0.95 17.73 .0259 1 0.95 16.82 .0260 1 0.95 17.34 .0261 1 0.95 17.47 .0262 1 0.95 17.32 .0263 1 0.95 17.90 .0264 1 0.95 17.46 .0265 1 0.95 17.77 .0266 1 0.95 17.77 .0267 1 0.95 17.93 .0268 1 0.95 18.62 .0269 1 0.95 19.88 .0270 1 0.95 18.79 .0271 1 0.95 19.05 .0272 3 0.95 19.55 .0273 1 0.95 19.05 .0274 1 0.95 20.08 .0275 1 0.95 19.56 .0276 2 0.95 18.41 .0277 2 0.95 19.46 .0278 1 0.95 18.44 .0279 1 0.95 18.77 .0280 1 0.95 19.48 .0281 1 0.95 19.03 .0282 1 0.95 18.74 .0283 1 0.95 19.47 .0284 1 0.95 19.04 .0285 1 0.95 19.36 .0286 1 0.95 19.00 .0287 1 0.95 19.48 .0288 1 0.95 19.25 .0289 1 0.95 20.55 .0290 1 0.95 18.89 .0291 1 0.95 19.97 .0292 1 0.95 19.07 .0293 1 0.95 19.55 .0294 1 0.95 19.21 .0295 1 0.95 19.28 .0296 1 0.95 19.71 .0297 1 0.95 20.33 .0298 2 0.95 19.46 .0299 1 0.95 19.36 .0300 1 0.95 19.23 .0301 1 0.95 19.72 .0302 1 0.95 19.09 .0303 1 0.95 19.17 .0304 1 0.95 18.88 .0305 1 0.95 19.63 .0306 1 0.95 20.38 .0307 1 0.95 19.63 .0308 2 0.95 19.03 .0309 1 0.95 18.85 .0310 1 0.95 18.85 .0311 1 0.95 19.33 .0312 1 0.95 19.37 .0313 1 0.95 19.86 .0314 2 0.95 18.09 .0315 2 0.95 18.03 .0316 1 0.95 19.82 .0317 2 0.95 18.21 .0318 2 0.95 18.01 .0319 3 0.95 19.05 .0320 2 0.95 20.01 .0321 2 0.95 18.31 .0322 2 0.95 17.97 .0323 2 0.95 18.16 .0324 2 0.95 18.99 .0325 2 0.95 18.36 .0326 2 0.95 19.11 .0327 2 0.95 18.57 .0328 2 0.95 17.86 .0329 2 0.95 18.37 .0330 2 0.95 18.67 .0331 2 0.95 18.17 .0332 2 0.95 19.15 .0333 2 0.95 18.86 .0334 2 0.95 18.38 .0335 2 0.95 17.68 .0336 2 0.95 17.76 .0337 2 0.95 17.60 .0338 2 0.95 17.53 .0339 2 0.95 18.17 .0340 2 0.95 18.67 .0341 2 0.95 17.24 .0342 2 0.95 17.88 .0343 2 0.95 18.58 .0344 2 0.95 17.54 .0345 2 0.95 18.14 .0346 2 0.94 18.06 .0347 2 0.94 17.63 .0348 2 0.94 17.40 .0349 2 0.94 17.70 .0350 2 0.94 17.96 .0351 3 0.94 18.01 .0352 2 0.94 17.53 .0353 2 0.94 17.87 .0354 2 0.94 16.91 .0355 2 0.94 17.90 .0356 2 0.94 17.49 .0357 2 0.94 18.71 .0358 2 0.94 17.74 .0359 2 0.94 17.80 .0360 2 0.94 18.45 .0361 2 0.94 17.86 .0362 2 0.94 17.82 .0363 2 0.94 17.83 .0364 2 0.94 17.93 .0365 2 0.94 17.95 .0366 2 0.94 18.10 .0367 2 0.94 18.05 .0368 2 0.94 17.59 .0369 2 0.94 18.34 .0370 2 0.94 17.55 .0371 2 0.94 17.56 .0372 2 0.94 18.63 .0373 2 0.94 18.60 .0374 2 0.94 18.31 .0375 2 0.94 18.45 .0376 2 0.94 18.19 .0377 2 0.94 18.60 .0378 2 0.94 18.01 .0379 2 0.94 18.42 .0380 2 0.94 18.29 .0381 3 0.94 17.15 .0382 3 0.94 18.62 .0383 3 0.94 17.25 .0384 3 0.94 17.14 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15.49 .0438 2 0.94 15.57 .0439 3 0.94 15.66 .0440 2 0.94 16.28 .0441 2 0.94 15.75 .0442 2 0.94 15.46 .0443 2 0.94 15.73 .0444 2 0.94 15.76 .0445 2 0.94 15.61 .0446 2 0.94 15.72 .0447 2 0.94 15.61 .0448 2 0.94 15.44 .0449 2 0.94 15.44 .0450 2 0.94 15.49 .0451 2 0.94 15.50 .0452 2 0.94 16.11 .0453 2 0.94 15.59 .0454 2 0.94 15.39 .0455 2 0.94 15.45 .0456 2 0.94 16.25 .0457 2 0.94 17.17 .0458 2 0.94 15.25 .0459 2 0.94 15.76 .0460 2 0.94 15.27 .0461 2 0.94 14.90 .0462 2 0.94 15.32 .0463 2 0.94 15.46 .0464 2 0.94 15.25 .0465 2 0.94 14.77 .0466 2 0.94 14.37 .0467 2 0.94 14.65 .0468 2 0.94 15.38 .0469 2 0.94 15.93 .0470 2 0.94 15.10 .0471 2 0.94 14.65 .0472 2 0.94 15.00 .0473 2 0.94 15.49 .0474 2 0.94 16.12 .0475 2 0.94 16.33 .0476 2 0.94 16.89 .0477 2 0.94 14.66 .0478 2 0.94 14.55 .0479 2 0.94 15.12 .0480 3 0.94 14.46 .0481 2 0.94 14.82 .0482 3 0.94 14.50 .0483 2 0.94 13.96 .0484 2 0.94 14.16 .0485 2 0.94 14.13 .0486 2 0.94 13.95 .0487 2 0.94 14.00 .0488 2 0.94 14.42 .0489 2 0.94 14.19 .0490 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0.92 4.98 .1846 2 0.92 4.98 .1847 1 0.92 4.99 .1848 1 0.92 4.80 .1849 1 0.92 5.11 .1850 2 0.92 4.95 .1851 1 0.92 4.97 .1852 1 0.92 5.58 .1853 2 0.92 5.57 .1854 1 0.92 5.20 .1855 2 0.92 5.16 .1856 3 0.92 5.19 .1857 1 0.92 5.41 .1858 1 0.92 5.09 .1859 2 0.92 5.59 .1860 1 0.92 5.28 .1861 2 0.92 5.88 .1862 3 0.92 5.46 .1863 1 0.92 5.40 .1864 1 0.92 5.37 .1865 2 0.92 5.50 .1866 1 0.92 5.33 .1867 1 0.92 5.42 .1868 1 0.92 5.54 .1869 3 0.92 5.36 .1870 4 0.92 5.56 .1871 3 0.92 5.81 .1872 2 0.92 5.59 .1873 1 0.92 5.64 .1874 1 0.92 5.44 .1875 2 0.92 5.39 .1876 1 0.92 5.42 .1877 2 0.92 5.10 .1878 1 0.92 5.07 .1879 1 0.92 5.08 .1880 1 0.92 5.40 .1881 3 0.92 5.55 .1882 2 0.92 5.71 .1883 1 0.92 5.54 .1884 1 0.92 5.32 .1885 1 0.92 5.26 .1886 2 0.92 5.14 .1887 1 0.92 5.21 .1888 3 0.92 5.39 .1889 1 0.92 5.29 .1890 1 0.92 5.27 .1891 2 0.92 5.23 .1892 1 0.92 5.23 .1893 1 0.92 5.36 .1894 1 0.92 4.99 .1895 1 0.92 5.73 .1896 2 0.92 5.62 .1897 1 0.92 5.57 .1898 1 0.92 5.58 .1899 2 0.92 5.28 .1900 1 0.92 5.43 .1901 1 0.92 5.40 .1902 2 0.92 5.56 .1903 3 0.92 5.93 .1904 2 0.92 5.20 .1905 3 0.92 5.05 .1906 3 0.92 4.86 .1907 3 0.92 4.92 .1908 3 0.92 4.61 .1909 2 0.92 5.44 .1910 3 0.92 5.04 .1911 1 0.92 4.57 .1912 2 0.92 4.50 .1913 3 0.92 4.65 .1914 3 0.92 4.63 .1915 1 0.92 4.56 .1916 1 0.92 4.62 .1917 1 0.92 4.76 .1918 3 0.92 4.26 .1919 3 0.92 4.32 .1920 2 0.92 4.30 .1921 1 0.92 4.13 .1922 1 0.92 4.18 .1923 1 0.92 4.43 .1924 2 0.92 4.37 .1925 1 0.92 4.37 .1926 2 0.92 4.64 .1927 1 0.92 4.11 .1928 2 0.92 4.31 .1929 1 0.92 4.54 .1930 2 0.92 4.26 .1931 2 0.92 4.61 .1932 1 0.92 4.38 .1933 1 0.92 4.56 .1934 2 0.92 4.57 .1935 1 0.92 4.81 .1936 2 0.92 4.65 .1937 1 0.92 4.68 .1938 1 0.92 4.63 .1939 1 0.92 4.74 .1940 1 0.92 4.68 .1941 1 0.92 4.70 .1942 1 0.92 5.37 .1943 1 0.92 4.72 .1944 1 0.92 5.02 .1945 1 0.92 4.92 .1946 2 0.92 5.07 .1947 1 0.92 4.92 .1948 2 0.92 4.78 .1949 2 0.92 4.67 .1950 2 0.92 4.78 .1951 1 0.92 4.71 .1952 1 0.92 4.79 .1953 1 0.92 4.54 .1954 2 0.92 4.76 .1955 2 0.92 4.71 .1956 1 0.92 4.73 .1957 1 0.92 4.49 .1958 1 0.92 4.60 .1959 1 0.92 4.46 .1960 1 0.92 4.62 .1961 1 0.92 4.45 .1962 1 0.92 4.36 .1963 1 0.92 4.37 .1964 1 0.92 4.53 .1965 2 0.92 4.51 .1966 1 0.92 4.41 .1967 3 0.92 4.29 .1968 2 0.92 5.24 .1969 2 0.92 4.58 .1970 1 0.92 4.53 .1971 1 0.92 4.51 .1972 1 0.92 4.51 .1973 2 0.92 4.68 .1974 1 0.92 4.48 .1975 2 0.92 4.49 .1976 1 0.92 4.71 .1977 2 0.92 4.53 .1978 2 0.92 5.10 .1979 1 0.92 4.64 .1980 1 0.92 4.67 .1981 3 0.92 5.20 .1982 2 0.92 4.51 .1983 2 0.92 4.67 .1984 2 0.92 4.78 .1985 2 0.92 4.57 .1986 1 0.92 4.66 .1987 4 0.92 4.63 .1988 2 0.92 5.13 .1989 2 0.92 4.67 .1990 1 0.92 4.62 .1991 2 0.92 4.52 .1992 2 0.92 4.60 .1993 1 0.92 4.72 .1994 2 0.92 4.36 .1995 1 0.92 4.66 .1996 1 0.92 4.64 .1997 2 0.92 4.81 .1998 2 0.92 4.61 .1999 2 0.92 4.85 .2000 2 0.92 4.25 .2001 2 0.92 4.42 .2002 1 0.92 4.28 .2003 1 0.92 4.24 .2004 1 0.92 4.43 .2005 2 0.92 4.43 .2006 2 0.92 4.65 .2007 2 0.92 4.27 .2008 2 0.92 4.40 .2009 2 0.92 4.79 .2010 3 0.92 4.32 .2011 2 0.92 4.32 .2012 1 0.92 4.23 .2013 2 0.92 4.38 .2014 2 0.92 4.87 .2015 4 0.92 4.56 .2016 3 0.92 4.76 .2017 2 0.92 4.80 .2018 2 0.92 4.55 .2019 2 0.92 4.62 .2020 1 0.92 4.54 .2021 1 0.92 4.53 .2022 2 0.92 4.41 .2023 2 0.92 4.56 .2024 2 0.92 4.48 .2025 1 0.92 4.34 .2026 1 0.92 4.27 .2027 1 0.92 4.54 .2028 1 0.92 4.55 .2029 1 0.92 4.69 .2030 1 0.92 4.58 .2031 2 0.92 4.32 .2032 3 0.92 4.25 .2033 3 0.92 4.25 .2034 2 0.92 4.38 .2035 2 0.92 4.25 .2036 2 0.92 4.39 .2037 2 0.92 4.10 .2038 2 0.92 4.16 .2039 3 0.92 4.00 .2040 2 0.92 4.03 .2041 2 0.92 4.04 .2042 3 0.92 4.09 .2043 2 0.92 4.33 .2044 2 0.92 4.55 .2045 2 0.92 4.54 .2046 2 0.92 3.80 .2047 2 0.92 3.75 EXTRACT_IMAGE: sdR-r2-00034587.fit: masked 1327 pixels EXTRACT_OBJECT: sdR-r2-00034587.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034587.fit: WARNING: Scattered light median = 128.091 electrons QAPLOT_SCATLIGHT: sdR-r2-00034587.fit: WARNING: Scattered light max = 372.457 electrons EXTRACT_OBJECT: sdR-r2-00034587.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 15.39 .0004 1 0.95 15.12 .0005 1 0.95 15.02 .0006 2 0.95 14.77 .0007 1 0.95 15.59 .0008 1 0.95 14.67 .0009 1 0.95 15.03 .0010 3 0.95 15.08 .0011 1 0.95 14.37 .0012 3 0.95 14.04 .0013 2 0.95 13.94 .0014 1 0.95 14.09 .0015 1 0.95 14.46 .0016 1 0.95 13.94 .0017 1 0.95 13.88 .0018 1 0.95 13.59 .0019 1 0.95 13.69 .0020 2 0.95 13.94 .0021 1 0.95 13.78 .0022 1 0.95 13.94 .0023 1 0.95 13.60 .0024 1 0.95 13.90 .0025 2 0.95 13.84 .0026 2 0.95 12.33 .0027 2 0.95 13.39 .0028 2 0.95 12.86 .0029 3 0.95 12.77 .0030 2 0.95 12.22 .0031 2 0.95 12.63 .0032 2 0.95 12.58 .0033 2 0.95 13.10 .0034 3 0.95 12.32 .0035 2 0.95 12.70 .0036 2 0.95 12.28 .0037 2 0.95 12.34 .0038 2 0.95 12.11 .0039 2 0.95 12.65 .0040 2 0.95 12.26 .0041 2 0.95 12.73 .0042 2 0.95 11.99 .0043 2 0.95 11.78 .0044 2 0.95 12.12 .0045 2 0.95 12.28 .0046 2 0.95 12.63 .0047 2 0.95 12.17 .0048 2 0.95 12.51 .0049 2 0.95 11.91 .0050 3 0.95 12.60 .0051 3 0.95 11.83 .0052 2 0.95 11.48 .0053 2 0.95 11.69 .0054 2 0.95 11.77 .0055 2 0.95 11.58 .0056 2 0.95 11.28 .0057 2 0.95 11.68 .0058 2 0.95 11.24 .0059 2 0.95 11.39 .0060 2 0.95 11.37 .0061 2 0.95 11.52 .0062 2 0.95 11.43 .0063 3 0.95 11.44 .0064 3 0.95 11.86 .0065 2 0.95 12.05 .0066 2 0.95 12.14 .0067 2 0.95 12.54 .0068 2 0.95 11.64 .0069 2 0.95 11.83 .0070 2 0.95 12.08 .0071 2 0.95 12.08 .0072 2 0.95 12.04 .0073 2 0.95 12.14 .0074 2 0.95 12.05 .0075 2 0.95 12.06 .0076 2 0.95 11.81 .0077 2 0.95 12.01 .0078 2 0.95 12.06 .0079 2 0.95 12.10 .0080 2 0.95 12.09 .0081 2 0.95 12.17 .0082 2 0.95 12.46 .0083 2 0.95 12.54 .0084 2 0.95 12.81 .0085 3 0.95 12.01 .0086 3 0.95 12.00 .0087 3 0.95 12.47 .0088 3 0.95 12.22 .0089 3 0.95 11.62 .0090 3 0.95 13.09 .0091 3 0.95 11.98 .0092 3 0.95 12.52 .0093 3 0.95 12.19 .0094 3 0.95 12.16 .0095 3 0.95 12.38 .0096 3 0.95 12.31 .0097 3 0.95 12.27 .0098 3 0.95 12.35 .0099 3 0.95 12.28 .0100 3 0.95 12.56 .0101 3 0.95 12.47 .0102 3 0.95 12.28 .0103 2 0.95 12.39 .0104 2 0.95 12.21 .0105 2 0.95 12.87 .0106 2 0.95 13.04 .0107 2 0.95 12.58 .0108 2 0.95 12.61 .0109 2 0.95 12.61 .0110 3 0.95 13.30 .0111 3 0.95 12.65 .0112 2 0.95 12.87 .0113 2 0.95 13.01 .0114 2 0.95 13.26 .0115 2 0.95 12.95 .0116 2 0.95 13.42 .0117 2 0.95 13.29 .0118 2 0.95 12.93 .0119 2 0.95 13.05 .0120 2 0.95 13.35 .0121 2 0.95 13.27 .0122 2 0.95 13.49 .0123 2 0.95 13.40 .0124 2 0.95 13.84 .0125 3 0.95 13.44 .0126 2 0.95 13.76 .0127 3 0.95 13.70 .0128 2 0.95 13.87 .0129 2 0.95 14.13 .0130 2 0.95 14.13 .0131 2 0.95 14.66 .0132 2 0.95 13.76 .0133 2 0.95 14.36 .0134 2 0.95 14.04 .0135 2 0.95 14.17 .0136 2 0.95 14.37 .0137 2 0.95 14.96 .0138 2 0.95 14.57 .0139 2 0.95 14.46 .0140 3 0.95 15.49 .0141 3 0.95 14.77 .0142 2 0.95 14.66 .0143 2 0.95 14.60 .0144 2 0.95 15.79 .0145 2 0.95 15.53 .0146 2 0.95 15.62 .0147 2 0.95 15.63 .0148 2 0.95 15.85 .0149 2 0.95 15.88 .0150 2 0.95 15.32 .0151 2 0.95 16.31 .0152 2 0.95 16.44 .0153 2 0.95 16.85 .0154 2 0.95 17.36 .0155 2 0.95 16.94 .0156 2 0.95 17.44 .0157 2 0.95 18.16 .0158 2 0.95 17.42 .0159 2 0.95 16.81 .0160 2 0.95 16.46 .0161 2 0.95 16.60 .0162 2 0.95 16.67 .0163 2 0.95 17.28 .0164 2 0.95 18.13 .0165 2 0.95 17.52 .0166 2 0.95 17.18 .0167 2 0.95 17.53 .0168 2 0.95 16.92 .0169 2 0.95 17.17 .0170 2 0.95 17.32 .0171 2 0.95 17.40 .0172 3 0.95 17.04 .0173 2 0.95 17.41 .0174 2 0.95 16.94 .0175 2 0.95 16.99 .0176 2 0.95 16.73 .0177 2 0.95 16.64 .0178 2 0.95 18.08 .0179 2 0.95 17.51 .0180 2 0.95 17.00 .0181 2 0.95 17.11 .0182 2 0.95 16.63 .0183 2 0.95 17.16 .0184 2 0.95 17.12 .0185 3 0.95 17.94 .0186 2 0.95 16.78 .0187 2 0.95 16.39 .0188 1 0.95 17.51 .0189 1 0.95 17.67 .0190 2 0.95 17.66 .0191 1 0.95 17.20 .0192 2 0.95 16.99 .0193 1 0.95 16.86 .0194 2 0.95 17.01 .0195 1 0.95 17.63 .0196 1 0.95 17.20 .0197 2 0.95 17.55 .0198 2 0.95 16.41 .0199 2 0.95 17.05 .0200 2 0.95 16.99 .0201 1 0.95 17.12 .0202 1 0.95 17.24 .0203 1 0.95 16.77 .0204 1 0.95 16.55 .0205 1 0.95 16.52 .0206 1 0.95 16.31 .0207 1 0.95 16.44 .0208 1 0.95 16.43 .0209 1 0.95 17.07 .0210 1 0.95 16.47 .0211 1 0.95 17.63 .0212 3 0.95 16.49 .0213 1 0.95 16.68 .0214 2 0.95 16.74 .0215 3 0.95 16.05 .0216 2 0.95 17.23 .0217 1 0.95 16.97 .0218 1 0.95 16.92 .0219 1 0.95 16.52 .0220 1 0.95 16.37 .0221 1 0.95 17.62 .0222 2 0.95 16.76 .0223 2 0.95 16.14 .0224 2 0.95 16.22 .0225 2 0.95 16.99 .0226 1 0.95 16.71 .0227 1 0.95 16.35 .0228 1 0.95 16.58 .0229 2 0.95 16.53 .0230 1 0.95 16.56 .0231 1 0.95 16.65 .0232 1 0.95 16.81 .0233 1 0.95 17.30 .0234 1 0.95 17.03 .0235 1 0.95 18.00 .0236 2 0.95 16.94 .0237 1 0.95 17.02 .0238 1 0.95 17.10 .0239 1 0.95 17.48 .0240 1 0.95 17.69 .0241 1 0.95 18.20 .0242 2 0.95 17.40 .0243 3 0.95 17.15 .0244 2 0.95 17.23 .0245 1 0.95 17.83 .0246 1 0.95 17.65 .0247 1 0.95 17.78 .0248 1 0.95 18.03 .0249 1 0.95 17.73 .0250 1 0.95 18.06 .0251 1 0.95 18.04 .0252 1 0.95 18.39 .0253 1 0.95 18.08 .0254 2 0.95 19.07 .0255 3 0.95 17.95 .0256 1 0.95 18.58 .0257 1 0.95 18.76 .0258 1 0.95 18.68 .0259 1 0.95 18.05 .0260 1 0.95 18.43 .0261 1 0.95 18.67 .0262 1 0.95 18.42 .0263 1 0.95 18.92 .0264 1 0.95 18.67 .0265 1 0.95 18.68 .0266 1 0.95 18.95 .0267 1 0.95 19.02 .0268 1 0.95 19.73 .0269 1 0.95 20.91 .0270 1 0.95 19.59 .0271 1 0.95 19.99 .0272 3 0.95 20.35 .0273 1 0.95 19.93 .0274 1 0.95 20.80 .0275 1 0.95 20.29 .0276 2 0.95 19.45 .0277 2 0.95 20.53 .0278 1 0.95 19.63 .0279 1 0.95 19.85 .0280 1 0.95 20.31 .0281 1 0.95 20.11 .0282 1 0.95 19.89 .0283 2 0.95 19.90 .0284 1 0.95 20.34 .0285 1 0.95 20.40 .0286 1 0.95 20.16 .0287 1 0.95 20.78 .0288 1 0.95 20.47 .0289 1 0.95 21.23 .0290 1 0.95 20.16 .0291 1 0.95 21.24 .0292 1 0.95 20.06 .0293 1 0.95 20.64 .0294 1 0.95 20.32 .0295 2 0.95 20.04 .0296 1 0.95 20.70 .0297 2 0.95 21.06 .0298 2 0.95 20.45 .0299 1 0.95 20.08 .0300 1 0.95 20.05 .0301 1 0.95 20.46 .0302 1 0.95 19.92 .0303 1 0.95 20.01 .0304 1 0.95 19.99 .0305 1 0.95 20.68 .0306 1 0.95 21.28 .0307 2 0.95 19.66 .0308 2 0.95 19.50 .0309 2 0.95 19.37 .0310 2 0.95 19.34 .0311 2 0.95 19.71 .0312 2 0.95 19.61 .0313 2 0.95 20.03 .0314 2 0.95 19.36 .0315 2 0.95 19.14 .0316 2 0.95 19.78 .0317 2 0.95 19.55 .0318 2 0.95 19.21 .0319 3 0.95 19.40 .0320 3 0.95 20.27 .0321 2 0.95 19.59 .0322 2 0.95 19.22 .0323 2 0.95 19.57 .0324 2 0.95 20.08 .0325 2 0.95 19.80 .0326 3 0.95 19.63 .0327 2 0.95 19.63 .0328 2 0.95 19.38 .0329 2 0.95 19.61 .0330 2 0.95 19.26 .0331 2 0.95 19.55 .0332 2 0.95 20.37 .0333 3 0.95 19.51 .0334 2 0.95 19.58 .0335 2 0.95 19.32 .0336 2 0.95 19.44 .0337 2 0.95 19.12 .0338 2 0.95 19.06 .0339 2 0.95 19.43 .0340 2 0.95 19.93 .0341 2 0.95 19.07 .0342 2 0.95 19.40 .0343 2 0.95 19.91 .0344 2 0.95 19.03 .0345 2 0.95 19.72 .0346 2 0.94 18.95 .0347 2 0.94 19.29 .0348 2 0.94 18.93 .0349 2 0.94 19.53 .0350 2 0.94 19.46 .0351 2 0.94 19.51 .0352 2 0.94 19.17 .0353 2 0.94 19.30 .0354 2 0.94 18.63 .0355 2 0.94 19.38 .0356 2 0.94 19.03 .0357 2 0.94 20.08 .0358 2 0.94 19.25 .0359 2 0.94 19.38 .0360 2 0.94 19.81 .0361 2 0.94 19.33 .0362 2 0.94 19.18 .0363 2 0.94 19.32 .0364 2 0.94 19.51 .0365 2 0.94 19.31 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18.06 .0419 2 0.94 17.93 .0420 2 0.94 18.01 .0421 3 0.94 18.52 .0422 2 0.94 17.15 .0423 2 0.94 17.50 .0424 2 0.94 17.14 .0425 2 0.94 17.47 .0426 2 0.94 17.25 .0427 2 0.94 17.80 .0428 2 0.94 18.14 .0429 3 0.94 17.84 .0430 2 0.94 17.85 .0431 2 0.94 17.28 .0432 2 0.94 17.68 .0433 2 0.94 17.49 .0434 2 0.94 17.29 .0435 2 0.94 17.13 .0436 3 0.94 18.10 .0437 2 0.94 17.13 .0438 2 0.94 17.15 .0439 2 0.94 17.40 .0440 2 0.94 17.80 .0441 2 0.94 17.34 .0442 2 0.94 16.97 .0443 2 0.94 17.22 .0444 2 0.94 17.43 .0445 2 0.94 17.34 .0446 2 0.94 17.52 .0447 2 0.94 17.63 .0448 2 0.94 17.26 .0449 2 0.94 17.24 .0450 2 0.94 17.32 .0451 2 0.94 17.24 .0452 2 0.94 18.00 .0453 2 0.94 17.26 .0454 2 0.94 17.18 .0455 2 0.94 17.31 .0456 3 0.94 17.30 .0457 2 0.94 18.74 .0458 2 0.94 17.13 .0459 2 0.94 17.58 .0460 2 0.94 17.27 .0461 2 0.94 16.79 .0462 2 0.94 17.19 .0463 2 0.94 17.41 .0464 2 0.94 17.37 .0465 2 0.94 16.82 .0466 2 0.94 16.51 .0467 2 0.94 16.82 .0468 2 0.94 16.57 .0469 2 0.94 17.80 .0470 2 0.94 16.89 .0471 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2 0.92 5.46 .1826 2 0.92 5.23 .1827 1 0.92 5.35 .1828 1 0.92 5.66 .1829 4 0.92 5.14 .1830 2 0.92 5.34 .1831 1 0.92 5.11 .1832 2 0.92 5.34 .1833 2 0.92 5.16 .1834 2 0.92 5.17 .1835 2 0.92 5.20 .1836 2 0.92 5.11 .1837 3 0.92 4.87 .1838 2 0.92 5.09 .1839 2 0.92 5.23 .1840 1 0.92 5.17 .1841 2 0.92 5.23 .1842 1 0.92 5.23 .1843 3 0.92 5.29 .1844 3 0.92 5.29 .1845 1 0.92 5.17 .1846 2 0.92 5.12 .1847 1 0.92 5.17 .1848 1 0.92 5.02 .1849 1 0.92 5.31 .1850 2 0.92 5.11 .1851 1 0.92 5.21 .1852 2 0.92 5.42 .1853 2 0.92 5.75 .1854 1 0.92 5.32 .1855 2 0.92 5.25 .1856 3 0.92 5.38 .1857 1 0.92 5.66 .1858 1 0.92 5.34 .1859 2 0.92 5.77 .1860 1 0.92 5.53 .1861 2 0.92 6.09 .1862 3 0.92 5.40 .1863 1 0.92 5.56 .1864 1 0.92 5.68 .1865 2 0.92 5.75 .1866 1 0.92 5.49 .1867 1 0.92 5.53 .1868 1 0.92 5.74 .1869 2 0.92 5.58 .1870 4 0.92 5.74 .1871 3 0.92 6.02 .1872 2 0.92 5.78 .1873 1 0.92 5.92 .1874 1 0.92 5.65 .1875 2 0.92 5.62 .1876 1 0.92 5.63 .1877 2 0.92 5.19 .1878 1 0.92 5.24 .1879 1 0.92 5.39 .1880 1 0.92 5.74 .1881 3 0.92 5.73 .1882 2 0.92 5.74 .1883 2 0.92 5.52 .1884 1 0.92 5.45 .1885 1 0.92 5.40 .1886 2 0.92 5.31 .1887 1 0.92 5.37 .1888 3 0.92 5.56 .1889 1 0.92 5.37 .1890 1 0.92 5.36 .1891 2 0.92 5.40 .1892 1 0.92 5.46 .1893 1 0.92 5.46 .1894 1 0.92 5.22 .1895 1 0.92 5.74 .1896 2 0.92 5.71 .1897 2 0.92 5.47 .1898 2 0.92 5.48 .1899 3 0.92 5.23 .1900 1 0.92 5.47 .1901 1 0.92 5.55 .1902 3 0.92 5.19 .1903 4 0.92 5.32 .1904 3 0.92 5.07 .1905 2 0.92 5.21 .1906 2 0.92 5.00 .1907 2 0.92 5.09 .1908 2 0.92 4.93 .1909 2 0.92 5.41 .1910 3 0.92 4.94 .1911 2 0.92 4.73 .1912 2 0.92 4.70 .1913 3 0.92 4.86 .1914 3 0.92 4.78 .1915 3 0.92 4.69 .1916 2 0.92 4.68 .1917 2 0.92 4.71 .1918 3 0.92 4.48 .1919 3 0.92 4.57 .1920 2 0.92 4.59 .1921 1 0.92 4.39 .1922 1 0.92 4.50 .1923 2 0.92 4.63 .1924 3 0.92 4.45 .1925 1 0.92 4.56 .1926 3 0.92 4.61 .1927 1 0.92 4.36 .1928 2 0.92 4.45 .1929 1 0.92 4.91 .1930 2 0.92 4.52 .1931 2 0.92 4.84 .1932 1 0.92 4.64 .1933 1 0.92 4.79 .1934 2 0.92 4.73 .1935 1 0.92 5.02 .1936 2 0.92 4.90 .1937 1 0.92 4.92 .1938 1 0.92 4.84 .1939 1 0.92 4.85 .1940 1 0.92 4.76 .1941 1 0.92 4.82 .1942 2 0.92 5.15 .1943 1 0.92 4.81 .1944 2 0.92 4.84 .1945 1 0.92 5.05 .1946 2 0.92 5.11 .1947 1 0.92 5.03 .1948 2 0.92 4.83 .1949 2 0.92 4.75 .1950 2 0.92 4.95 .1951 1 0.92 4.94 .1952 1 0.92 5.03 .1953 1 0.92 4.73 .1954 2 0.92 4.84 .1955 2 0.92 4.84 .1956 1 0.92 4.97 .1957 1 0.92 4.74 .1958 2 0.92 4.73 .1959 1 0.92 4.61 .1960 2 0.92 4.57 .1961 2 0.92 4.60 .1962 1 0.92 4.56 .1963 1 0.92 4.62 .1964 1 0.92 4.68 .1965 2 0.92 4.82 .1966 1 0.92 4.63 .1967 3 0.92 4.56 .1968 3 0.92 4.89 .1969 3 0.92 4.63 .1970 3 0.92 4.54 .1971 1 0.92 4.63 .1972 1 0.92 4.70 .1973 2 0.92 4.85 .1974 1 0.92 4.66 .1975 2 0.92 4.62 .1976 1 0.92 4.71 .1977 2 0.92 4.71 .1978 2 0.92 5.05 .1979 1 0.92 4.85 .1980 2 0.92 4.64 .1981 4 0.92 4.90 .1982 4 0.92 4.65 .1983 3 0.92 4.75 .1984 3 0.92 4.74 .1985 2 0.92 4.74 .1986 1 0.92 4.78 .1987 3 0.92 4.74 .1988 2 0.92 5.01 .1989 2 0.92 4.88 .1990 1 0.92 4.83 .1991 2 0.92 4.65 .1992 3 0.92 4.56 .1993 3 0.92 4.47 .1994 2 0.92 4.58 .1995 1 0.92 4.84 .1996 2 0.92 4.59 .1997 2 0.92 4.97 .1998 2 0.92 4.53 .1999 3 0.92 4.62 .2000 2 0.92 4.49 .2001 2 0.92 4.64 .2002 1 0.92 4.50 .2003 1 0.92 4.57 .2004 1 0.92 4.81 .2005 2 0.92 4.67 .2006 2 0.92 4.79 .2007 2 0.92 4.46 .2008 2 0.92 4.58 .2009 2 0.92 4.93 .2010 2 0.92 4.58 .2011 2 0.92 4.49 .2012 1 0.92 4.39 .2013 2 0.92 4.63 .2014 3 0.92 4.89 .2015 4 0.92 4.75 .2016 3 0.92 4.71 .2017 3 0.92 4.74 .2018 2 0.92 4.84 .2019 4 0.92 4.69 .2020 1 0.92 4.85 .2021 1 0.92 4.78 .2022 2 0.92 4.69 .2023 2 0.92 4.49 .2024 2 0.92 4.76 .2025 1 0.92 4.58 .2026 1 0.92 4.49 .2027 1 0.92 4.73 .2028 3 0.92 4.40 .2029 2 0.92 4.85 .2030 1 0.92 4.68 .2031 4 0.92 4.32 .2032 3 0.92 4.47 .2033 4 0.92 4.39 .2034 2 0.92 4.50 .2035 2 0.92 4.47 .2036 3 0.92 4.39 .2037 2 0.92 4.21 .2038 2 0.92 4.29 .2039 2 0.92 4.18 .2040 2 0.92 4.19 .2041 2 0.92 4.16 .2042 2 0.92 4.16 .2043 3 0.92 4.10 .2044 2 0.92 4.14 .2045 4 0.92 4.33 .2046 2 0.92 3.97 .2047 2 0.92 4.03 EXTRACT_IMAGE: sdR-r2-00034587.fit: masked 1845 pixels DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 394 low points in trace 54 DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 425 low points in trace 184 DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 338 low points in trace 224 DIVIDEFLAT: sdR-r2-00034587.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034587.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 741 low points in trace 276 DIVIDEFLAT: sdR-r2-00034587.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034587.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034587.fit: Warning: Reject 455 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034587.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 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2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034587.fit: WARNING: sky shift reference line, sigma 7794.1200 0.26213665 LOCATESKYLINES_2: sdR-r2-00034587.fit: sky shift reference line, offset: 7794.1200 -0.049100964 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 0 10.611228 59.192692 -0.29639620 1.0332678 1799.9707 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 6 2.7990382 -378.21722 -0.29597280 1.0124505 1785.7794 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 13 5.2164808 -313.30303 -0.31017516 0.99032656 1731.0765 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 18 3.0187084 -367.08432 -0.34229423 0.97788978 1801.1708 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 26 5.3299720 -10.871237 -0.29281017 0.95411501 1864.2078 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 52 5.0503895 -280.30884 -0.26867416 1.0264882 1774.8854 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 60 1.4964285 -235.01761 -0.33336287 0.98782988 1805.6825 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 63 4.6572306 -315.68370 -0.26698408 1.0223492 1861.4458 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 82 7.6121185 -349.97558 -0.27831893 1.0559851 1850.1996 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 84 3.5718929 -410.97534 -0.31861627 0.92640601 1897.3801 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 109 13.361049 -376.57673 -0.26058419 0.97493861 1816.7770 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 114 5.2899590 -381.99404 -0.31229593 1.0081854 1802.9423 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 131 8.3423637 -264.95156 -0.30705489 0.97729168 1853.7884 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 153 6.8763909 77.419633 -0.24514440 0.95917576 1952.2650 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 176 10.478715 117.49401 -0.27866936 0.94155479 1882.6869 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 180 11.599257 76.328154 -0.29615193 0.94177398 1978.9036 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 184 10.870765 137.68228 -0.30747580 1.0051197 1886.5163 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 185 16.568868 74.525073 -0.30630868 0.99275596 1844.7360 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 186 13.354845 73.282322 -0.29147653 0.96995733 1957.2496 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 201 4.6919150 98.375146 -0.29782945 0.98790423 1794.2187 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 204 5.8298992 90.833185 -0.29175634 0.95393513 1889.5149 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 206 3.6568172 124.03885 -0.25290982 1.0071201 1866.8620 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 213 11.094728 99.475389 -0.27351227 0.97764249 1845.4790 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 235 15.909172 -25.816457 -0.22291650 0.96124768 1913.0142 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 257 11.804397 74.493970 -0.26977046 0.93779145 1900.2793 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 259 6.8260458 193.28616 -0.25796421 0.96470423 1950.8824 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 260 4.9169908 27.903992 -0.28493809 0.94506743 1869.0128 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 261 3.8856477 101.05704 -0.31538756 0.99144142 1784.9325 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 265 8.6806083 54.085476 -0.28088161 0.97756949 1952.3039 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 271 11.153243 39.774234 -0.29760272 0.96433078 1951.3612 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 276 12.648397 12.173096 -0.32060854 0.94692700 1958.0692 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 281 10.423927 -100.85233 -0.29566608 0.95860935 1882.9407 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 284 7.6196863 -84.453542 -0.25576993 0.94151701 1811.9069 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 307 6.7031918 -27.764976 -0.27880626 0.99668857 1868.5179 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 0 308 10.923330 37.962202 -0.25342443 0.96104696 1854.1699 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 0 4.9962683 0.00015362555 -0.28703896 0.97497325 0.99936491 LOCATESKYLINES_2: sdR-r2-00034587.fit: sigma-clipped to 299 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034587.fit: comb2 l,chi^2/dof,fit: 0 3.8287760 -0.0037331657 -0.28716381 0.98518984 0.99944814 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 299 of 315 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.336265-0.2871640.004217 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 0 4.4156645 27.537314 -0.22579246 0.94452704 635.71660 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 6 0.59297998 -417.71713 -0.29640060 1.0611992 507.30330 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 13 2.7415553 -392.87106 -0.27779342 0.96644709 574.43298 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 18 1.3785918 -438.40299 -0.23360787 0.98387825 614.89841 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 26 3.1000584 -113.64661 -0.30239445 0.95050382 652.12656 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 52 2.4358240 -343.51480 -0.20031124 1.0314142 548.61359 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 60 1.0516211 -294.01481 -0.38515936 0.96629302 626.01220 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 63 1.0373386 -385.95358 -0.17692178 1.0366772 657.95789 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 82 0.29440432 -309.91457 -0.39784983 0.99562182 556.12915 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 84 Infinity -1.8000386e-25 0.0000000 1.0000000 0.0000000 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 109 3.0205506 -429.29242 -0.27772062 1.0057369 544.17354 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 114 4.2436390 -426.72031 -0.25141144 1.0553227 577.11346 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 131 4.3256866 -326.24716 -0.34340373 0.94810444 645.80548 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 153 2.8166413 22.603483 -0.30512092 0.95346861 628.70636 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 176 2.3846482 47.394951 -0.35285159 1.0165925 596.09060 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 180 1.5479731 27.276795 -0.32997536 0.97589053 655.64088 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 184 2.5424737 99.667152 -0.28451518 0.93612942 627.87915 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 185 1.9683942 20.011642 -0.24081260 1.1075310 617.05700 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 186 1.3081523 12.021689 -0.34728097 0.97919137 668.13613 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 201 4.0603079 19.258646 -0.29038073 0.97565392 611.22410 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 204 2.1663921 11.635518 -0.25393484 1.0483905 590.38237 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 206 0.84345928 9.1449721 -0.41622748 1.1519147 658.77978 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 213 2.5715496 38.184483 -0.24023827 0.98958403 611.30360 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 235 3.0250505 -72.558205 -0.20926064 0.92687969 618.75959 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 257 3.8503344 35.994656 -0.28521761 0.98276122 619.96128 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 259 2.6362837 162.08739 -0.25770594 1.0125110 639.22744 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 260 1.4839317 -29.782203 -0.14914462 0.90961866 651.49055 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 261 1.4025755 50.337749 -0.33274554 0.99362897 607.77593 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 265 3.5835619 21.507170 -0.25789621 1.0139837 602.39539 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 271 0.75555444 12.101339 -0.28006352 0.96898798 629.67954 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 276 0.90451149 -30.612898 -0.34456912 0.97639928 648.43560 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 281 3.7056261 -117.60827 -0.26991198 1.0332100 556.25019 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 284 2.2351495 -157.27438 -0.35743355 1.0506125 616.79594 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 307 1.1086283 -64.429670 -0.31544497 0.97882587 683.67499 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 1 308 0.48727155 2.3259356 -0.29784231 0.92494611 597.37104 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 1 1.4966066 0.00095350098 -0.28933758 0.99253246 0.99666774 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.338439-0.2893380.009935 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 0 1.6494709 16.164264 -0.30581391 0.66312924 135.54411 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 6 -0.25000000 -554.59973 0.0000000 1.0000000 -423.76294 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 13 -0.25000000 -522.30054 0.0000000 1.0000000 -412.20837 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 18 -0.25000000 -505.20514 0.0000000 1.0000000 -360.37143 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 26 -0.25000000 -131.76001 0.0000000 1.0000000 -0.56675541 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 52 -0.25000000 -390.69086 0.0000000 1.0000000 -280.70984 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 60 -0.25000000 -405.30957 0.0000000 1.0000000 -109.78794 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 63 -0.25000000 -433.11295 0.0000000 1.0000000 -283.47330 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 82 -0.25000000 -450.21350 0.0000000 1.0000000 -292.85431 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 84 -0.25000000 -516.61108 0.0000000 1.0000000 -358.64877 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 109 -0.25000000 -461.06317 0.0000000 1.0000000 -327.94806 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 114 -0.25000000 -460.77020 0.0000000 1.0000000 -322.78064 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 131 -0.25000000 -295.29938 0.0000000 1.0000000 -179.16771 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 153 1.9064556 16.469836 0.11704220 1.3003551 134.97049 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 176 5.3521407 55.944863 -0.11343857 0.60000000 104.16147 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 180 1.3998709 48.910294 -0.30578736 0.60000000 153.16426 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 184 5.4067175 96.557777 -0.055068253 0.60000000 157.58250 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 185 5.7133538 40.171547 0.0032338318 0.69594996 101.77230 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 186 5.7041701 29.247176 -0.086459490 0.88051527 147.44672 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 201 5.0470652 40.648467 -0.18554049 0.79463201 125.37669 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 204 5.4243318 72.724340 -0.33565854 0.60000000 106.23101 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 206 3.0155276 57.398249 -0.27575005 0.86657844 84.150705 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 213 5.2895143 87.076891 -0.15164404 0.60000000 131.09480 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 235 6.4033678 -55.000471 -0.40267941 0.64479162 120.66272 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 257 7.0431170 46.229319 -0.053186810 0.61307318 87.707831 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 259 2.3089315 142.83817 -1.0000000 1.3880677 147.92431 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 260 3.3594980 -51.143337 -0.23774518 0.95334899 140.27372 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 261 2.8142689 28.454073 -0.026363688 1.0007504 109.14611 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 265 0.45454854 18.111161 -0.40699090 1.0334320 105.86109 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 271 2.0748163 15.784955 -0.056669767 0.60000000 146.87665 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 276 3.7831067 -68.184461 -0.37213514 0.79863895 146.78005 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 281 -0.25000000 -171.45833 0.0000000 1.0000000 -15.602736 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 284 14.915069 -114.08048 -0.30271018 0.60000000 57.064986 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 307 1.8943290 -76.885979 -0.70312744 0.66424257 150.17734 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 2 308 3.0814621 32.209123 -0.41509066 0.73395625 133.10956 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 2 0.92652254 0.0050050093 -0.27639389 0.86753580 0.93090274 LOCATESKYLINES_2: sdR-r2-00034587.fit: sigma-clipped to 122 of 126 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034587.fit: comb2 l,chi^2/dof,fit: 2 0.63409855 -0.052861564 -0.28527325 0.92338271 0.98309809 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 122 of 126 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.334374-0.2852730.063186 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 0 1.4224410 0.16558568 -0.62635711 1.0643903 246.64531 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 6 -0.25000000 -561.42432 0.0000000 1.0000000 -375.49341 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 13 -0.25000000 -545.84186 0.0000000 1.0000000 -215.33875 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 18 -0.25000000 -522.47687 0.0000000 1.0000000 -238.71899 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 26 0.94076218 -135.11069 -0.41712655 1.2005862 285.15329 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 52 -0.25000000 -469.08047 0.0000000 1.0000000 -250.95578 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 60 -0.25000000 -393.95566 0.0000000 1.0000000 -134.79716 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 63 -0.25000000 -459.36548 0.0000000 1.0000000 -221.62193 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 82 -0.25000000 -355.93896 0.0000000 1.0000000 -124.61880 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 84 -0.25000000 -480.88739 0.0000000 1.0000000 -187.48752 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 109 -0.25000000 -421.52927 0.0000000 1.0000000 -104.16119 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 114 -0.25000000 -397.38654 0.0000000 1.0000000 -182.39557 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 131 -0.25000000 -235.11423 0.0000000 1.0000000 -12.645573 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 153 0.87128522 69.970864 -0.25434335 1.1348303 215.57094 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 176 1.2289267 67.737064 -0.19197995 0.76989859 274.88393 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 180 1.1560179 35.736779 -0.094914972 1.0038453 242.72310 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 184 4.0262522 94.567092 0.37888271 0.60000000 598.18200 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 185 2.1851791 15.169454 -0.39663862 0.92635048 256.77702 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 186 1.0183699 20.285544 -0.32863712 0.94695108 217.19429 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 201 1.0801429 21.775897 -0.21606259 1.1073968 291.12764 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 204 1.6753951 71.768344 -0.50608168 0.86346657 273.78257 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 206 1.4681391 101.82765 -0.18708283 0.96808234 228.98415 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 213 0.63613597 67.466190 -0.35620180 1.0790138 274.94130 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 235 0.49702580 -49.792298 -0.50823450 0.91555044 211.21109 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 257 0.31647840 23.726409 -0.29996999 1.0481910 248.65419 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 259 1.1017227 170.18266 -0.20798657 1.0992480 226.08129 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 260 1.0648902 -12.683846 -0.41738183 1.2324120 223.63188 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 261 2.0852178 63.931712 -0.19333906 1.0290099 218.43386 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 265 1.0594975 4.8267174 -0.46689721 0.90892737 204.96773 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 271 1.4682901 -16.400968 -0.39071687 1.0363450 238.47048 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 276 0.66242046 -68.290631 -0.13266170 0.87588527 249.26618 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 281 1.8383584 -124.06001 -0.18494327 0.95984840 229.57055 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 284 0.85093717 -135.68542 -0.43317132 0.86176874 261.88814 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 307 0.69949794 -94.247120 -0.34986563 1.0867638 205.97462 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 3 308 2.1877985 32.839406 -0.33083552 0.96297678 246.69819 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 3 0.60248775 0.0043515686 -0.32342897 0.99094841 0.98262830 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 207 of 207 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.372530-0.3234290.029055 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 0 0.94736528 2.6789536 -0.28523371 1.1490906 289.22565 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 6 -0.25000000 -587.69250 0.0000000 1.0000000 -345.33328 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 13 -0.25000000 -529.37122 0.0000000 1.0000000 -248.70465 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 18 -0.25000000 -535.59253 0.0000000 1.0000000 -219.21931 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 26 0.68545886 -110.46546 -0.21733671 0.84866616 187.76227 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 52 -0.25000000 -496.92227 0.0000000 1.0000000 -251.18256 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 60 -0.25000000 -407.35513 0.0000000 1.0000000 -65.541931 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 63 -0.25000000 -439.02020 0.0000000 1.0000000 -201.57166 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 82 -0.25000000 -322.94629 0.0000000 1.0000000 -38.161263 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 84 -0.25000000 -475.33591 0.0000000 1.0000000 -97.028877 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 109 -0.25000000 -415.86346 0.0000000 1.0000000 -103.96651 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 114 -0.25000000 -362.77032 0.0000000 1.0000000 -55.047985 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 131 1.2871071 -239.75306 -0.26979471 1.0362388 277.74060 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 153 0.45307864 68.900388 -0.28269389 1.1099586 249.54892 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 176 0.20606438 80.446369 -0.26720201 0.94173419 262.42678 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 180 2.6011295 59.477902 -0.28468655 0.90634650 259.29805 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 184 0.17824152 73.116001 -0.12032919 1.0238549 273.51565 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 185 2.3488621 16.289173 -0.28145369 1.0570459 238.66368 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 186 2.0451384 26.400785 -0.36375046 0.93912373 255.79394 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 201 1.5009543 52.167686 -0.0022014946 0.91708237 250.82393 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 204 1.6924125 56.282737 -0.30445241 1.0095842 240.30922 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 206 0.60029133 95.382229 -0.25343038 0.87957566 290.01131 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 213 0.15456277 118.23659 -0.28225131 0.70163681 288.84682 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 235 1.7566080 -44.434194 -0.11128389 0.88394092 224.96879 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 257 2.5262943 46.906303 -0.092521242 0.91322467 238.65112 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 259 0.61947164 180.70053 -0.33206132 0.78596268 237.53190 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 260 7.4023091 -55.871768 0.020593686 1.6775320 270.60062 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 261 0.99886505 67.568140 -0.051202968 0.95374564 236.76890 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 265 0.95935575 12.305943 0.040394522 1.1555023 231.72767 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 271 1.6664161 4.8804913 -0.20237154 0.73491979 271.86233 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 276 0.47864158 -39.525720 -0.096447206 0.96002134 232.72698 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 281 0.28751123 -94.954308 -0.44204923 0.69740618 298.58947 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 284 3.1071536 -110.38525 -0.048772828 0.94685437 219.14572 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 307 0.38387831 -79.694096 -0.30003157 0.75199525 334.08535 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 4 308 1.3869589 10.265845 -0.38923235 0.88575578 326.77637 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 4 0.90405056 0.0097600011 -0.23255399 0.93509573 0.97455879 LOCATESKYLINES_2: sdR-r2-00034587.fit: sigma-clipped to 224 of 225 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034587.fit: comb2 l,chi^2/dof,fit: 4 0.76270472 0.0046691361 -0.23392307 0.93836242 0.97991728 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 224 of 225 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.283024-0.2339230.025862 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 0 0.96119308 19.261342 -0.39317559 1.0352440 401.46317 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 6 -0.25000000 -541.58630 0.0000000 1.0000000 -206.81924 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 13 -0.25000000 -437.97754 0.0000000 1.0000000 -72.481087 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 18 -0.25000000 -489.88187 0.0000000 1.0000000 -99.311958 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 26 3.3783128 -81.418633 -0.37977914 1.1091107 288.60590 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 52 -0.25000000 -436.63489 0.0000000 1.0000000 -26.394859 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 60 -0.25000000 -314.42462 0.0000000 1.0000000 -32.125179 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 63 -0.25000000 -436.31119 0.0000000 1.0000000 -59.187881 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 82 2.9703109 -278.18637 -0.48062301 1.0176232 365.24681 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 84 0.49299209 -361.02780 -0.56516473 0.86761552 444.30974 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 109 0.39626587 -235.31574 -0.17984708 1.0689939 349.58308 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 114 0.18911749 -217.78449 -0.0089331211 0.83346918 302.67299 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 131 1.1932539 -101.46076 -0.22122575 1.0924062 379.25595 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 153 2.8510538 118.79519 -0.44300649 1.3170703 331.86790 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 176 0.74896636 75.187284 -0.15584626 0.96708193 364.62630 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 180 0.81021936 62.957157 -0.34407463 1.0407230 370.46682 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 184 1.3098020 70.509131 -0.36059060 1.1418731 379.56362 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 185 1.5633346 40.458628 -0.21333375 0.91472483 405.19362 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 186 0.41631482 40.483362 -0.41165653 1.1712179 335.91380 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 201 0.61336901 83.432915 -0.33370733 1.0249115 376.99984 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 204 0.55164704 102.16202 -0.45594648 0.98624456 392.28995 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 206 0.060540295 -3.0696249 1.0000000 0.60000000 1422.1241 LOCATESKYLINES_2: sdR-r2-00034587.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 213 0.34865309 126.72870 -0.27909752 1.0602361 412.88745 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 235 3.9640100 8.9954385 -0.031007270 0.95649402 385.19068 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 257 0.49403496 105.79431 -0.14721840 0.80440145 345.15678 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 259 1.3551954 191.55990 -0.22177145 1.0805173 334.95949 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 260 1.6602462 9.8037302 -0.32809107 1.1948198 359.73148 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 261 2.7475594 87.873773 -0.11544569 0.96220108 345.53101 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 265 1.0169214 33.739591 -0.25534754 1.1396896 360.06594 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 271 1.4096868 34.361811 -0.31704271 0.88054783 372.51010 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 276 1.5604571 2.3028441 -0.27809944 0.94167894 368.46416 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 281 1.1908351 -99.660066 -0.46873404 1.1290069 383.96257 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 284 0.84639141 -57.763084 -0.30179200 0.91868636 380.56260 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 307 1.5505871 -67.669939 -0.23112484 1.0380769 395.70673 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 5 308 2.1693776 97.163334 -0.25393119 1.0573052 436.83292 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 5 0.87260201 0.00018584645 -0.28957990 1.0386606 0.98335930 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 252 of 252 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.338681-0.2895800.020719 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 0 2.6095120 30.600920 -0.42658064 0.98366405 646.01249 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 6 1.4786288 -546.34863 -0.21377585 0.93856523 757.18143 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 13 0.61379894 -417.52706 -0.37281043 1.1573843 599.92354 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 18 1.7545773 -543.87817 -0.18524802 1.0461323 734.88643 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 26 0.36223371 -107.66568 -0.43839829 0.97230675 718.45503 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 52 1.9788486 -414.52237 -0.39046986 0.97338472 695.45981 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 60 1.8034116 -355.09540 -0.39208641 0.88978940 804.51805 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 63 1.2740268 -433.61029 -0.33853831 0.84406544 785.25625 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 82 1.9469779 -285.34934 -0.41150258 0.98042493 705.47926 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 84 1.5345331 -376.60785 -0.38188318 0.95033184 642.09893 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 109 1.3566526 -271.57595 -0.35616808 1.0654152 661.63225 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 114 1.2524421 -249.35683 -0.32253942 0.99926882 755.52005 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 131 0.11433282 -114.14294 -0.16466109 0.76613103 758.37456 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 153 3.3480825 104.80610 -0.24739101 0.95689181 676.56855 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 176 2.0203529 71.376284 -0.39421335 0.94431391 687.00677 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 180 0.89308194 31.516199 -0.41774281 1.0259958 699.49976 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 184 2.7504249 76.307247 -0.32249139 0.98262051 695.72236 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 185 2.3808278 28.753315 -0.37875006 0.94892043 692.53825 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 186 1.7579471 -15.844132 -0.34204448 1.1478390 728.92430 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 201 0.94061125 87.016001 -0.31462385 0.96928806 672.68154 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 204 0.52325299 127.29802 -0.42857547 0.96698093 724.87268 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 206 0.56413603 92.015367 -0.36314605 0.92590240 729.68468 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 213 1.5602972 122.70128 -0.40785498 0.88342330 707.77259 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 235 1.9382329 -6.4313097 -0.18643779 0.87904941 779.99805 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 257 1.9082111 43.021606 -0.33580899 0.99252106 767.63094 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 259 1.5308785 167.35346 -0.37191657 0.87424512 716.01367 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 260 0.85948177 14.323834 -0.30628709 0.99907968 733.10944 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 261 0.64902503 94.443609 -0.32868080 0.96163583 700.27632 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 265 2.6145324 15.405563 -0.33622774 1.1153916 656.99230 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 271 1.3429779 38.781512 -0.35401050 0.79798813 724.65549 LOCATESKYLINES_2: sdR-r2-00034587.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 281 1.3250236 -41.995453 -0.34750371 0.85946758 712.25455 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 284 1.1065843 -61.541620 -0.38184187 0.97529938 673.92492 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 307 1.2092073 -89.783861 -0.38181920 1.0104769 740.38169 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 6 308 0.63996466 80.402165 -0.38988660 0.99682079 693.25621 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 6 1.2491681 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sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 52 0.90837427 -434.31935 -0.27959503 0.91803286 773.98840 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 60 2.1284630 -364.55643 -0.23847617 0.94612618 809.56135 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 63 1.4065569 -435.38540 -0.40337840 0.90786607 806.02971 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 82 2.6106591 -305.10597 -0.27522878 0.80274628 908.56594 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 84 0.59438396 -373.14111 -0.36505356 0.91052872 777.77557 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 109 0.29402980 -240.53173 -0.36089895 1.0592239 751.33495 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 114 0.45556464 -256.43236 -0.25556308 0.96699920 843.24114 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 131 1.3577342 -164.82290 -0.16285172 0.94454253 870.75645 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 153 1.8552938 51.574075 -0.25797249 1.0355252 834.77714 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 176 1.0526984 93.495173 -0.26984834 0.84761786 834.98654 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 180 3.4858063 41.422749 -0.37274348 0.90543077 847.62197 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 184 2.7325506 77.561782 -0.35616026 0.93966504 798.15013 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 185 1.4720577 39.759267 -0.28733240 1.0413837 716.62395 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 186 1.7006654 39.227517 -0.34398607 0.98136638 762.66523 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 201 2.5997160 95.978985 -0.24476296 0.84806467 852.37047 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 204 1.1454853 111.86812 -0.25305296 0.95473867 831.51971 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 206 1.1529340 98.555058 -0.44176653 1.0642616 839.04091 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 213 1.0221111 148.87657 -0.38712294 0.94372811 813.04225 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 235 1.4461634 28.836316 -0.11572397 0.79408549 775.89291 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 257 0.69999523 64.499178 -0.32932201 0.84735386 958.64965 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 259 3.3519235 197.48529 -0.30292020 0.86587500 861.63503 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 260 0.15290884 0.034804311 -0.26686843 0.99618115 854.83576 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 261 1.2749722 75.774002 -0.38446861 0.96930191 803.93369 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 265 3.4934328 38.937888 -0.41238698 0.89486135 782.73518 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 271 2.9509196 68.413537 -0.29455700 0.83229486 841.89147 LOCATESKYLINES_2: sdR-r2-00034587.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 281 2.2437859 -74.204977 -0.23802677 1.0729921 754.32964 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 284 1.7172992 -67.648596 -0.26338523 0.87778786 894.38914 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 307 4.4154241 -77.983444 -0.35989188 0.86833839 914.51991 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 7 308 2.7364832 52.844670 -0.35713983 0.90965780 827.73284 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 7 1.5631157 0.0011720192 -0.30494138 0.92345928 0.99316541 LOCATESKYLINES_2: sdR-r2-00034587.fit: sigma-clipped to 303 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034587.fit: comb2 l,chi^2/dof,fit: 7 1.3718499 0.00088086175 -0.29849669 0.92431797 0.99221793 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 303 of 306 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.347598-0.2984970.009556 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 0 2.4395776 -38.607370 -0.33642065 0.89839700 1121.8299 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 6 2.3171424 -563.38666 -0.25880405 0.93401985 1069.0055 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 13 0.90902514 -401.72657 -0.19658245 0.90714078 1206.5241 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 18 1.1010370 -479.51001 -0.25656103 0.92831718 1046.2257 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 26 7.7445188 -244.29061 -0.26239567 0.88083546 1215.7094 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 52 4.6195038 -419.28547 -0.17876515 0.95467957 1166.3728 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 60 4.1491878 -393.81945 -0.17439191 0.97439588 1116.6605 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 63 0.31804625 -393.09034 -0.23590481 0.93513049 1176.1623 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 82 2.2846639 -341.62483 -0.19274924 0.94750699 1095.0077 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 84 1.8276905 -545.65795 -0.31983208 0.92570786 1353.4505 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 109 0.85314772 -290.14144 -0.26725270 0.88790372 1114.2335 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 114 1.6223386 -295.34983 -0.22931730 0.88770296 1168.8946 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 131 1.9580325 -217.51881 -0.23662271 0.85938854 1195.8462 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 153 1.3759208 -32.801012 -0.28890181 0.89519744 1226.2976 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 176 0.59665394 18.970505 -0.20133667 0.88758545 1115.1828 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 180 0.23464088 5.1792923 -0.18311759 0.86971882 1122.3281 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 184 2.9199283 17.530807 -0.24463431 0.95339584 1103.4878 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 185 1.8136460 -20.839613 -0.19898435 0.99429168 1088.3585 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 186 3.5214211 -12.339442 -0.27108315 0.94406210 1172.2664 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 201 2.1857412 -29.752418 -0.26359436 0.90672747 1236.1893 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 204 1.8890161 10.195985 -0.24002447 0.92842092 1208.6868 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 206 0.88635433 15.863826 -0.34957354 0.98512139 1071.0474 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 213 2.1126121 -4.4301111 -0.28263687 0.88507031 1183.8498 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 235 3.9197072 -120.29054 -0.35961403 0.95527380 1188.2385 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 257 0.68826175 -10.311387 -0.29525890 0.91936876 1226.1662 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 259 2.3876106 84.561019 -0.23889596 0.87623462 1188.2297 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 260 0.85692566 -22.870290 -0.31683865 0.86527399 1161.3642 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 261 0.78724219 7.1325025 -0.24791863 0.98834886 1002.7096 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 265 1.2429955 -40.844205 -0.31814154 0.82360960 1247.9671 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 271 2.9147767 -50.110116 -0.24245360 0.90032345 1155.4525 LOCATESKYLINES_2: sdR-r2-00034587.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 281 1.1744359 -137.93024 -0.29935149 0.97517679 1156.1737 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 284 2.4535784 -164.48096 -0.36578056 1.0068943 1124.2959 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 307 1.6284787 -127.99867 -0.25897815 0.86189386 1176.5883 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 8 308 1.5338143 -19.458571 -0.28431178 0.92684723 1094.3585 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 8 1.5163666 0.00045095413 -0.26153198 0.91676560 0.99658433 LOCATESKYLINES_2: sdR-r2-00034587.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034587.fit: comb2 l,chi^2/dof,fit: 8 1.4291027 0.00069390558 -0.25967955 0.91910339 0.99527283 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.308781-0.2596800.007048 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 0 1.0049888 -38.863430 -0.23623205 0.95591916 1130.8914 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 6 1.3530512 -538.29452 -0.24973912 0.86920275 1246.9895 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 13 1.7490053 -386.35209 -0.25987970 1.0012549 1161.0308 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 18 0.64582172 -449.62150 -0.18701679 0.98386278 1130.2886 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 26 0.90036959 -210.36915 -0.29061890 0.85581994 1225.3263 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 52 2.9215214 -461.53485 -0.22274008 0.97633883 1367.0112 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 60 1.5832277 -347.90728 -0.20908660 0.92165524 1324.1585 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 63 0.83988923 -388.10874 -0.22688941 0.83915469 1364.2456 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 82 1.5919947 -349.69147 -0.28334484 0.89442096 1321.0426 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 84 1.8968042 -484.23317 -0.25128414 0.91574235 1370.9126 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 109 0.96325197 -301.82233 -0.25396651 0.96292793 1180.7518 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 114 1.9457105 -256.98354 -0.29635894 0.87765745 1269.9701 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 131 0.59429989 -238.30475 -0.28887004 0.89688814 1317.7688 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 153 0.32719393 12.680496 -0.26090844 0.93830509 1270.9577 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 176 0.81664873 8.8442933 -0.27296102 0.93879018 1202.0056 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 180 4.5097434 23.263076 -0.24316515 0.90912131 1250.0322 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 184 1.3020503 47.898639 -0.24105967 0.90353224 1198.8375 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 185 1.4112622 19.231485 -0.28495124 0.88484531 1284.2899 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 186 1.9394916 11.388506 -0.28455184 0.89007937 1284.4557 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 201 3.5721360 -0.25678008 -0.23396833 0.95460987 1293.7665 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 204 1.6972440 36.768632 -0.25793716 0.89929864 1225.6070 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 206 2.3744961 37.655607 -0.29671035 0.92880047 1294.1978 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 213 1.5281641 25.842208 -0.29330506 0.93688667 1211.2273 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 235 5.3158529 -91.022249 -0.19135267 0.87005691 1300.2239 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 257 1.5392820 0.30476896 -0.25511684 0.90059546 1370.2945 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 259 2.9333536 59.315943 -0.32208044 0.94503453 1305.0141 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 260 0.80797253 -35.770917 -0.32411745 1.0306793 1167.0511 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 261 1.3878476 -28.642408 -0.26396549 0.93762309 1281.8073 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 265 1.0506375 -93.692490 -0.23410427 0.97938516 1351.2980 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 271 2.2326265 -59.249658 -0.26437900 0.95844593 1253.2045 LOCATESKYLINES_2: sdR-r2-00034587.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 281 1.2038455 -133.21783 -0.26966445 0.90048988 1265.8229 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 284 3.1218090 -101.67096 -0.22764231 0.90812856 1245.2998 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 307 1.3495390 -128.95314 -0.28819519 1.0246958 1209.6607 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 9 308 1.7969579 5.4647700 -0.29065024 0.89847027 1225.5805 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 9 1.2790421 0.00028765928 -0.26200418 0.92392029 0.99790466 LOCATESKYLINES_2: sdR-r2-00034587.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034587.fit: comb2 l,chi^2/dof,fit: 9 1.2260699 0.00025766478 -0.26464295 0.92341092 1.0008850 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.313744-0.2646430.006581 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 0 1.9249176 -76.617740 -0.25585516 0.88103849 1105.4737 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 6 0.64680418 -623.45584 -0.32383301 0.88561267 1178.4652 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 13 0.99730214 -376.99929 -0.22038410 0.94751443 1166.9569 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 18 2.0344299 -444.32636 -0.19903899 0.83162818 1198.4179 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 26 2.1712660 -330.73779 -0.32378984 0.88506150 1208.4720 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 52 0.52240692 -404.10628 -0.29650042 0.99191424 1111.6654 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 60 1.5685759 -385.16990 -0.16295812 1.0020407 1172.4180 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 63 1.4422445 -360.11637 -0.26239852 0.90105653 1194.6712 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 82 2.5324878 -422.58247 -0.26449897 1.0004923 1128.2506 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 84 1.8552552 -550.37724 -0.21321213 0.94233238 1258.3593 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 109 1.9024536 -339.55024 -0.28332071 0.92365293 1123.3970 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 114 0.88236896 -355.25868 -0.28192949 0.98601369 1225.6808 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 131 3.6512356 -311.56896 -0.29703503 0.89447049 1275.0086 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 153 3.6725707 -119.30451 -0.15232876 0.98743264 1167.2798 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 176 1.1381515 -32.067291 -0.24875860 0.91227453 1164.7422 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 180 0.79999222 -26.357110 -0.23849580 0.87299804 1233.8109 LOCATESKYLINES_2: sdR-r2-00034587.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 185 3.6716151 -56.519060 -0.28583726 0.90397761 1173.8537 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 186 8.1895945 -58.774055 -0.21959286 0.96356520 1160.3579 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 201 0.16399284 -78.702941 -0.21021908 0.93913497 1131.9563 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 204 2.8035344 -24.947922 -0.23618245 0.85876765 1170.8716 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 206 3.3579847 -19.277087 -0.13574541 0.96652989 1189.7134 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 213 2.3248273 -93.983630 -0.27505867 0.97681175 1153.0057 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 235 1.5226005 -193.48426 -0.23838650 0.90061595 1158.9529 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 257 3.4674247 -93.562962 -0.18877897 0.95520147 1226.3579 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 259 1.7226531 8.3879929 -0.21688357 0.94465909 1209.9681 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 260 2.0039024 -109.66363 -0.16043521 0.91585206 1254.3431 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 261 4.7232912 -71.155800 -0.18451992 0.99130215 1187.4274 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 265 2.0334900 -108.36950 -0.22377378 0.92783322 1251.4848 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 271 0.27000618 -142.30755 -0.23401621 0.96958052 1203.6719 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 276 2.4700771 -151.84753 -0.27310091 0.99839782 1173.7348 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 281 2.1375336 -176.17526 -0.24388842 0.90400574 1203.6880 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 284 0.82779400 -209.55938 -0.28710685 0.89982340 1217.3978 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 307 0.22012278 -214.49734 -0.19477050 0.90065708 1150.3189 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 10 308 1.6797419 -152.02129 -0.35229055 0.94032334 1164.7989 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 10 1.5108186 0.00034622289 -0.24065346 0.93004794 0.99719429 LOCATESKYLINES_2: sdR-r2-00034587.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034587.fit: comb2 l,chi^2/dof,fit: 10 1.4570422 0.00063430226 -0.24376389 0.92754707 0.99686210 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.292865-0.2437640.007025 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 0 2.0853623 -74.583240 -0.25047954 0.88965442 1216.7494 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 6 1.8458290 -648.26228 -0.33436211 1.0000434 1316.5374 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 13 2.4057254 -404.91274 -0.25274072 1.1068949 1191.4905 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 18 1.9189543 -466.81187 -0.17773153 0.98643022 1274.9139 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 26 1.4368049 -304.51542 -0.19649108 0.90967154 1342.9532 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 52 0.76886037 -367.45910 -0.25819486 0.94220544 1298.0374 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 60 2.0094924 -344.83864 -0.24109714 0.90095882 1326.1495 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 63 1.1815953 -389.65281 -0.23819984 0.86156407 1439.3141 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 82 1.7275360 -390.06525 -0.23174221 0.92401654 1346.5082 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 84 1.2293716 -478.08113 -0.24507075 0.95253184 1316.9171 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 109 0.60396055 -305.36619 -0.24637218 0.87612489 1392.5929 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 114 1.7577543 -328.28987 -0.25593325 0.96047739 1356.1779 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 131 2.5817719 -261.68597 -0.20330149 0.89039812 1252.8659 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 153 0.97915730 -118.68182 -0.25004080 0.93657688 1286.3022 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 176 4.2755168 -68.943128 -0.18587399 0.92189048 1347.3256 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 180 1.9805215 -14.802333 -0.21566194 0.87418523 1341.1186 LOCATESKYLINES_2: sdR-r2-00034587.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 185 3.8694009 -23.919242 -0.26490358 0.90492998 1274.2893 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 186 3.1002771 -19.238798 -0.15949814 0.89956404 1258.0413 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 201 1.0176241 -94.259519 -0.23847472 0.95999552 1291.9809 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 204 1.1830058 -57.970409 -0.24817761 0.87489878 1295.9301 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 206 1.5997977 -65.798474 -0.23477411 0.85021749 1382.3007 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 213 2.0390706 -101.65802 -0.23633906 0.91025514 1314.1994 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 235 0.43773385 -143.39612 -0.27012414 0.76697862 1415.9879 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 257 2.9741148 -26.483747 -0.27731737 0.88471471 1312.4200 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 259 3.8745076 -35.491594 -0.25365611 0.95768125 1353.7673 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 260 2.1443073 -129.42516 -0.30614654 0.91188333 1366.6254 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 261 0.76717023 -87.320684 -0.19010151 1.0001224 1299.3340 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 265 2.1951049 -119.94553 -0.20879206 0.87933040 1391.4019 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 271 0.64415630 -128.54599 -0.23016926 0.89050859 1432.2633 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 276 1.9966362 -152.33891 -0.28447194 1.0427019 1307.2593 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 281 1.1173944 -204.05331 -0.22484262 0.90063472 1407.8572 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 284 2.7139032 -184.45396 -0.26635304 0.88427162 1352.6948 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 307 1.3234726 -201.25685 -0.29951637 0.90013711 1274.2316 LOCATESKYLINES_2: sdR-r2-00034587.fit: l,f,chi^2/dof,c: 11 308 0.46015446 -150.38602 -0.28638596 0.95127614 1240.0661 LOCATESKYLINES_2: sdR-r2-00034587.fit: comb1 l,chi^2/dof,fit: 11 1.5313851 0.00063297627 -0.24079780 0.91211562 0.99746321 LOCATESKYLINES_2: sdR-r2-00034587.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034587.fit: comb2 l,chi^2/dof,fit: 11 1.4171988 0.00055711589 -0.23528576 0.91390182 0.99622681 LOCATESKYLINES_2: sdR-r2-00034587.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034587.fit: offset, refoff, sigma: -0.284387-0.2352860.006390 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 FITMEANX: sdR-r2-00034587.fit: In skyline number 0 std-dev is 0.043166259 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 1 std-dev is 0.062071835 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 2 std-dev is 0.10396744 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 3 std-dev is 0.14331295 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 4 std-dev is 0.097350475 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 5 std-dev is 0.059518725 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 6 std-dev is 0.070574254 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 7 std-dev is 0.090199903 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 8 std-dev is 0.16029070 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 9 std-dev is 0.10451786 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 10 std-dev is 0.10052236 pix FITMEANX: sdR-r2-00034587.fit: In skyline number 11 std-dev is 0.055559071 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 6300.3040 coadded std-dev is 0.00421701 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 6363.7760 coadded std-dev is 0.00993453 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 6553.6100 coadded std-dev is 0.0631862 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 6923.2100 coadded std-dev is 0.0290555 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 6949.0300 coadded std-dev is 0.0258620 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 7571.7500 coadded std-dev is 0.0207188 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 7794.1200 coadded std-dev is 0.0110923 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 7821.5100 coadded std-dev is 0.00955593 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 8399.1600 coadded std-dev is 0.00704837 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 8430.1700 coadded std-dev is 0.00658111 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 8885.8300 coadded std-dev is 0.00702490 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: In sky feature at 8919.6100 coadded std-dev is 0.00639047 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034587.fit: Median arc shift = -0.33167524 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: Dispersion in arc shift = 0.024060549 pix LOCATESKYLINES_2: sdR-r2-00034587.fit: Maximum sky-line shift is 0.36420536 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Number of sky fibers = 34 ROW NITER SIG(med) CHI^2 .0000 2 0.86 0.96 .0001 10 0.86 0.68 .0002 20 0.86 0.55 .0003 9 0.86 0.90 .0004 15 0.86 1.31 .0005 20 0.86 0.65 .0006 1 0.86 0.78 .0007 20 0.86 0.67 .0008 7 0.86 0.84 .0009 6 0.86 1.05 .0010 10 0.86 0.80 .0011 15 0.86 1.70 .0012 20 0.86 0.77 .0013 1 0.86 0.60 .0014 13 0.86 1.69 .0015 2 0.86 1.01 .0016 20 0.86 0.85 .0017 6 0.86 1.03 .0018 1 0.86 0.70 .0019 9 0.86 0.74 .0020 16 0.82 1.16 .0021 11 0.82 0.71 .0022 20 0.82 1.40 .0023 20 0.82 1.26 .0024 8 0.82 0.88 .0025 9 0.82 0.87 .0026 2 0.82 0.80 .0027 20 0.82 1.35 .0028 9 0.82 0.97 .0029 11 0.82 1.08 .0030 10 0.82 0.89 .0031 13 0.82 0.84 .0032 20 0.82 0.97 .0033 9 0.82 1.06 .0034 20 0.82 0.92 .0035 11 0.82 1.88 .0036 4 0.82 1.00 .0037 12 0.82 1.13 .0038 10 0.82 0.87 .0039 11 0.82 1.17 .0040 20 0.85 1.26 .0041 13 0.85 0.91 .0042 12 0.85 0.95 .0043 9 0.85 0.83 .0044 6 0.85 0.78 .0045 20 0.85 0.88 .0046 20 0.85 2.33 .0047 11 0.85 1.30 .0048 5 0.85 0.70 .0049 9 0.85 0.90 .0050 10 0.85 0.85 .0051 20 0.85 0.95 .0052 1 0.85 0.71 .0053 11 0.85 0.81 .0054 13 0.85 0.99 .0055 19 0.85 0.87 .0056 12 0.85 0.93 .0057 7 0.85 0.88 .0058 8 0.85 1.10 .0059 12 0.85 0.87 .0060 2 0.84 0.72 .0061 10 0.84 0.93 .0062 14 0.84 0.85 .0063 2 0.84 0.75 .0064 20 0.84 1.07 .0065 7 0.84 0.75 .0066 14 0.84 0.90 .0067 12 0.84 1.41 .0068 9 0.84 0.87 .0069 20 0.84 1.42 .0070 15 0.84 1.04 .0071 5 0.84 0.77 .0072 11 0.84 1.30 .0073 13 0.84 0.87 .0074 10 0.84 0.73 .0075 15 0.84 0.98 .0076 20 0.84 1.05 .0077 11 0.84 1.58 .0078 20 0.84 0.89 .0079 8 0.84 0.90 .0080 20 0.84 0.75 .0081 10 0.84 0.91 .0082 1 0.84 0.61 .0083 6 0.84 1.13 .0084 1 0.84 0.68 .0085 5 0.84 0.66 .0086 20 0.84 1.32 .0087 12 0.84 0.96 .0088 15 0.84 0.95 .0089 8 0.84 0.74 .0090 9 0.84 1.49 .0091 9 0.84 0.72 .0092 5 0.84 0.94 .0093 9 0.84 0.91 .0094 8 0.84 0.99 .0095 6 0.84 1.22 .0096 20 0.84 0.71 .0097 19 0.84 0.66 .0098 11 0.84 1.13 .0099 8 0.84 0.88 .0100 9 0.84 0.97 .0101 20 0.84 0.66 .0102 20 0.84 2.36 .0103 13 0.84 0.85 .0104 10 0.84 1.05 .0105 20 0.84 1.00 .0106 6 0.84 0.75 .0107 20 0.84 0.57 .0108 8 0.84 0.87 .0109 4 0.84 0.72 .0110 5 0.84 0.56 .0111 11 0.84 0.80 .0112 13 0.84 1.53 .0113 10 0.84 0.86 .0114 1 0.84 0.78 .0115 5 0.84 0.95 .0116 13 0.84 0.83 .0117 20 0.84 0.89 .0118 10 0.84 0.83 .0119 14 0.84 0.93 .0120 10 0.79 0.94 .0121 12 0.79 0.91 .0122 19 0.79 0.57 .0123 10 0.79 0.97 .0124 7 0.79 0.96 .0125 10 0.79 0.76 .0126 7 0.79 0.82 .0127 9 0.79 0.85 .0128 20 0.79 0.75 .0129 7 0.79 0.87 .0130 20 0.79 0.80 .0131 3 0.79 0.66 .0132 10 0.79 1.46 .0133 5 0.79 1.12 .0134 5 0.79 1.17 .0135 11 0.79 0.89 .0136 5 0.79 0.51 .0137 13 0.79 0.85 .0138 6 0.79 0.90 .0139 19 0.79 0.67 .0140 8 0.80 0.83 .0141 19 0.80 0.91 .0142 20 0.80 1.20 .0143 7 0.80 0.93 .0144 10 0.80 1.08 .0145 5 0.80 0.74 .0146 7 0.80 0.81 .0147 10 0.80 0.79 .0148 11 0.80 1.02 .0149 20 0.80 1.46 .0150 18 0.80 0.93 .0151 7 0.80 1.12 .0152 8 0.80 0.81 .0153 1 0.80 0.88 .0154 20 0.80 1.02 .0155 20 0.80 0.92 .0156 8 0.80 1.02 .0157 20 0.80 1.10 .0158 9 0.80 0.80 .0159 12 0.80 1.15 .0160 7 0.78 1.09 .0161 11 0.78 0.96 .0162 10 0.78 0.94 .0163 7 0.78 0.93 .0164 7 0.78 0.96 .0165 2 0.78 0.71 .0166 5 0.78 0.56 .0167 10 0.78 0.93 .0168 4 0.78 0.86 .0169 5 0.78 1.06 .0170 13 0.78 1.00 .0171 9 0.78 0.83 .0172 2 0.78 0.83 .0173 5 0.78 0.79 .0174 2 0.78 0.67 .0175 5 0.78 0.71 .0176 2 0.78 1.05 .0177 5 0.78 0.79 .0178 2 0.78 0.80 .0179 9 0.78 0.98 .0180 3 0.80 1.38 .0181 7 0.80 0.62 .0182 2 0.80 0.89 .0183 13 0.80 0.91 .0184 2 0.80 0.86 .0185 2 0.80 1.24 .0186 4 0.80 1.01 .0187 1 0.80 0.76 .0188 10 0.80 1.11 .0189 5 0.80 1.16 .0190 2 0.80 0.92 .0191 2 0.80 0.86 .0192 1 0.80 0.91 .0193 2 0.80 0.72 .0194 2 0.80 0.85 .0195 3 0.80 0.91 .0196 2 0.80 0.84 .0197 12 0.80 0.83 .0198 1 0.80 0.71 .0199 2 0.80 0.73 .0200 10 0.78 0.97 .0201 3 0.78 0.82 .0202 20 0.78 0.98 .0203 10 0.78 0.91 .0204 3 0.78 0.87 .0205 20 0.78 1.12 .0206 1 0.78 0.80 .0207 20 0.78 1.26 .0208 10 0.78 1.18 .0209 20 0.78 1.38 .0210 9 0.78 1.02 .0211 9 0.78 0.91 .0212 13 0.78 0.77 .0213 3 0.78 0.80 .0214 5 0.78 0.75 .0215 16 0.78 0.90 .0216 20 0.78 0.62 .0217 20 0.78 0.98 .0218 5 0.78 0.57 .0219 9 0.78 0.79 .0220 8 0.78 1.03 .0221 5 0.78 0.91 .0222 14 0.78 0.82 .0223 19 0.78 0.59 .0224 10 0.78 0.67 .0225 5 0.78 0.64 .0226 18 0.78 0.65 .0227 5 0.78 0.54 .0228 20 0.78 1.04 .0229 4 0.78 0.85 .0230 5 0.78 0.66 .0231 6 0.78 1.03 .0232 1 0.78 0.75 .0233 4 0.78 0.84 .0234 10 0.78 0.86 .0235 2 0.78 0.79 .0236 10 0.78 0.95 .0237 8 0.78 0.93 .0238 20 0.78 1.00 .0239 1 0.78 0.70 .0240 20 0.80 0.68 .0241 0 0.80 0.00 .0242 20 0.80 0.95 .0243 7 0.80 0.99 .0244 14 0.80 0.84 .0245 14 0.80 0.85 .0246 10 0.80 0.91 .0247 6 0.80 0.83 .0248 11 0.80 1.04 .0249 9 0.80 0.88 .0250 4 0.80 0.94 .0251 16 0.80 0.99 .0252 8 0.80 0.86 .0253 10 0.80 0.92 .0254 5 0.80 0.64 .0255 8 0.80 0.97 .0256 8 0.80 0.63 .0257 4 0.80 0.91 .0258 9 0.80 0.81 .0259 4 0.80 1.01 .0260 2 0.81 0.92 .0261 1 0.81 0.88 .0262 20 0.81 0.64 .0263 0 0.81 0.00 .0264 5 0.81 1.10 .0265 1 0.81 1.20 .0266 14 0.81 0.79 .0267 6 0.81 0.69 .0268 7 0.81 0.86 .0269 11 0.81 1.20 .0270 9 0.81 1.13 .0271 2 0.81 0.96 .0272 5 0.81 0.89 .0273 6 0.81 0.97 .0274 9 0.81 0.81 .0275 20 0.81 0.70 .0276 2 0.81 0.41 .0277 9 0.81 1.42 .0278 15 0.81 0.99 .0279 7 0.81 1.11 .0280 9 0.81 0.88 .0281 2 0.81 0.81 .0282 10 0.81 0.99 .0283 9 0.81 0.93 .0284 3 0.81 0.96 .0285 3 0.81 0.81 .0286 9 0.81 0.70 .0287 9 0.81 0.78 .0288 9 0.81 0.86 .0289 9 0.81 0.94 .0290 11 0.81 0.83 .0291 17 0.81 0.91 .0292 0 0.81 0.00 .0293 15 0.81 0.82 .0294 9 0.81 0.81 .0295 5 0.81 0.62 .0296 12 0.81 0.78 .0297 11 0.81 0.94 .0298 20 0.81 0.79 .0299 9 0.81 1.06 .0300 7 0.85 0.82 .0301 5 0.85 0.83 .0302 7 0.85 0.85 .0303 20 0.85 1.18 .0304 5 0.85 1.03 .0305 9 0.85 0.75 .0306 7 0.85 0.83 .0307 1 0.85 0.81 .0308 1 0.85 0.78 .0309 11 0.85 0.92 .0310 12 0.85 0.71 .0311 0 0.85 0.00 .0312 20 0.85 1.31 .0313 16 0.85 0.54 .0314 10 0.85 0.78 .0315 13 0.85 1.52 .0316 20 0.85 0.95 .0317 9 0.85 0.88 .0318 9 0.85 0.76 .0319 4 0.85 0.44 EXTRACT_IMAGE: sdR-r2-00034587.fit: masked 3785 pixels SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 0 median sigma(arc)= 0.93745439 sigma(sky)= 1.2058965 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 0 sigma^2(add)= 0.57536248 +/- 0.38506733 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 1 median sigma(arc)= 0.92910100 sigma(sky)= 1.1330621 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 1 sigma^2(add)= 0.44474234 +/- 0.97038157 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 2 median sigma(arc)= 0.90485972 sigma(sky)= -8741.9484 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 2 sigma^2(add)= 71470869. +/- 3.1312491e+08 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 3 median sigma(arc)= 0.86253639 sigma(sky)= 1.5832676 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 3 sigma^2(add)= 1.7671218 +/- 0.99535098 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 4 median sigma(arc)= 0.85989228 sigma(sky)= 1.3274432 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 4 sigma^2(add)= 1.0011892 +/- 0.56096284 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 5 median sigma(arc)= 0.81288837 sigma(sky)= 1.0109335 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 5 sigma^2(add)= 0.43211985 +/- 0.84655709 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 6 median sigma(arc)= 0.80550025 sigma(sky)= 0.92488288 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 6 sigma^2(add)= 0.21471748 +/- 0.41171407 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 7 median sigma(arc)= 0.80498777 sigma(sky)= 0.85390156 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 7 sigma^2(add)= 0.099715149 +/- 0.45081566 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 8 median sigma(arc)= 0.81706125 sigma(sky)= 0.92922630 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 8 sigma^2(add)= 0.22282721 +/- 0.27209071 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 9 median sigma(arc)= 0.81905108 sigma(sky)= 0.99679436 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 9 sigma^2(add)= 0.36191109 +/- 0.27505839 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 10 median sigma(arc)= 0.86615618 sigma(sky)= 0.95529433 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 10 sigma^2(add)= 0.18583742 +/- 0.35275305 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 11 median sigma(arc)= 0.87105851 sigma(sky)= 0.95405180 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Line # 11 sigma^2(add)= 0.18190810 +/- 0.27958474 SKYLINE_DISPERSION: sdR-r2-00034587.fit: Flexure sigma^2(add) = 0.058269199 +/- 0.17354131 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034587.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034587.fit: Heliocentric correction = 23.147115 km/s FITVACSET: sdR-r2-00034587.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034587.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034587.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034587.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-r2-00034587.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-r2-00034587.fit: Airmass range = 1.20836 1.24962 SKYSUBTRACT: sdR-r2-00034587.fit: Discarding 0.00424194 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 of 2046 Bin 50 of 2046 Bin 51 of 2046 Bin 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sdR-r2-00034587.fit: Median sky-residual chi2 = 30.3951 SKYSUBTRACT: sdR-r2-00034587.fit: Max sky-residual chi2 = 135.842 REDMONSTER: sdR-r2-00034587.fit: WARNING: Bad sky residuals at 5827 to 9219 Ang; Peak chi= 11.66 EXTRACT_OBJECT: sdR-r2-00034587.fit: Calling skysubtract again; masked skyfibers 6 13 18 52 60 63 82 84 109 114 SKYSUBTRACT: sdR-r2-00034587.fit: Number of sky fibers = 22 SKYSUBTRACT: sdR-r2-00034587.fit: Airmass range = 1.20836 1.24962 SKYSUBTRACT: sdR-r2-00034587.fit: Discarding 0.00450550 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 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Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034587.fit: Median sky-residual chi2 = 5.89525 SKYSUBTRACT: sdR-r2-00034587.fit: Max sky-residual chi2 = 25.5850 QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 27 = -142.148 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 132 = -202.934 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 154 = 35.5311 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 177 = 43.6498 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 181 = 39.6578 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 186 = 28.6635 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 187 = 27.4059 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 202 = 31.8980 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 205 = 46.1323 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 207 = 73.3534 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 214 = 59.4038 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 236 = -57.8246 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 258 = 32.9166 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 260 = 125.950 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 261 = -20.2777 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 266 = 11.7036 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 282 = -103.890 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 285 = -104.146 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 308 = -77.7243 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Median sky-residual chi = 2.44528 QAPLOT_SKYSUB: sdR-r2-00034587.fit: Max sky-residual chi = 5.09965 at 7118.9182 Ang QAPLOT_SKYSUB: sdR-r2-00034587.fit: WARNING: Max sky-residual chi = 5.09965 at 7118.9182 Ang SKYSUBTRACT: sdR-r2-00034587.fit: Number of sky fibers = 22 SKYSUBTRACT: sdR-r2-00034587.fit: Airmass range = 1.20836 1.24962 SKYSUBTRACT: sdR-r2-00034587.fit: Discarding 0.00450550 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 of 2046 Bin 50 of 2046 Bin 51 of 2046 Bin 52 of 2046 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2046 Bin 1993 of 2046 Bin 1994 of 2046 Bin 1995 of 2046 Bin 1996 of 2046 Bin 1997 of 2046 Bin 1998 of 2046 Bin 1999 of 2046 Bin 2000 of 2046 Bin 2001 of 2046 Bin 2002 of 2046 Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034587.fit: Median sky-residual chi2 = 5.17996 SKYSUBTRACT: sdR-r2-00034587.fit: Max sky-residual chi2 = 24.4160 QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 1 = 79.0306 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 27 = -97.3944 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 132 = -215.605 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 154 = 16.2198 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 177 = 20.9320 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 181 = 15.7496 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 202 = 12.4272 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 205 = 27.4567 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 207 = 55.6712 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 214 = 44.3322 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 236 = -67.7729 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 258 = 34.4326 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 260 = 126.470 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 261 = -16.0210 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 266 = 18.7532 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 282 = -88.6853 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 285 = -86.2925 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 308 = -41.0130 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Warning: Median sky-sub flux in sky fiber 309 = 46.3095 electrons QAPLOT_SKYSUB: sdR-r2-00034587.fit: Median sky-residual chi = 2.28689 QAPLOT_SKYSUB: sdR-r2-00034587.fit: Max sky-residual chi = 4.59965 at 6306.5643 Ang % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r2-00034587.fit: Airmass range = 1.21 1.25 QAPLOT_SKYLINE: sdR-r2-00034587.fit: Flux dispersion for skyline 7343.0 = 5.72 % % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r2-00034587.fit: Airmass range = 1.21 1.25 QAPLOT_SKYLINE: sdR-r2-00034587.fit: Flux dispersion for skyline 8888.3 = 4.88 % SPADD_GUIDERINFO: sdR-r2-00034587.fit: Number of guider frames = 32 SPREDUCE: sdR-r2-00034587.fit: Elapsed time = 188. seconds SPREDUCE: sdR-r2-00034588.fit: Reading object sdR-r2-00034588.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034588.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034588.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034588.fit: Measured read-noise in DN for amp# 2 = 4.52437 SDSSPROC: sdR-r2-00034588.fit: Measured bias value in DN for amp# 2 = 485.065 SDSSPROC: sdR-r2-00034588.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034588.fit: Amp #2 Number of pix below bias-5*sigma= 463. DN is 0 SDSSPROC: sdR-r2-00034588.fit: Measured read-noise in DN for amp# 3 = 3.81393 SDSSPROC: sdR-r2-00034588.fit: Measured bias value in DN for amp# 3 = 1289.61 SDSSPROC: sdR-r2-00034588.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034588.fit: Amp #3 Number of pix below bias-5*sigma= 1269. DN is 0 SDSSPROC: sdR-r2-00034588.fit: Number of bleading columns = 3 SDSSPROC: sdR-r2-00034588.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034588.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034588.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034588.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034588.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034588.fit: Science 25-th-percentile = 1227.35 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202 EXTRACT_OBJECT: sdR-r2-00034588.fit: Whopping fibers: 5 12 14 20 23 27 29 32 34 38 40 46 55 62 64 66 70 77 80 86 96 102 105 112 130 132 142 144 149 154 157 159 170 197 205 207 209 211 217 226 238 245 251 275 277 303 316 EXTRACT_OBJECT: sdR-r2-00034588.fit: Median counts in all fibers = 25524.7 EXTRACT_OBJECT: sdR-r2-00034588.fit: Number of bright fibers = 47 EXTRACT_OBJECT: sdR-r2-00034588.fit: Sky fiber median 1680.54 EXTRACT_OBJECT: sdR-r2-00034588.fit: 5% and 95% count levels 1660.73 46937.6 EXTRACT_OBJECT: sdR-r2-00034588.fit: WARNING: Disable whopping terms sdR-r2-00034588.fit MATCH_TRACE: sdR-r2-00034588.fit: Iteration: 0 Pixels Rejected: 47563 Finished? 0 MATCH_TRACE: sdR-r2-00034588.fit: Iteration: 1 Pixels Rejected: 578 Finished? 0 MATCH_TRACE: sdR-r2-00034588.fit: Iteration: 2 Pixels Rejected: 58 Finished? 0 MATCH_TRACE: sdR-r2-00034588.fit: Iteration: 3 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: sdR-r2-00034588.fit: Iteration: 4 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: sdR-r2-00034588.fit: Iteration: 5 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-r2-00034588.fit: Warning: Large number of pixels rejected! 48207 EXTRACT_OBJECT: sdR-r2-00034588.fit: Shifting traces by match_trace 0.0598145 EXTRACT_OBJECT: sdR-r2-00034588.fit: Extracting frame sdR-r2-00034588.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034588.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 9.40 .0004 2 0.95 10.26 .0005 2 0.95 9.13 .0006 2 0.95 9.02 .0007 1 0.95 8.94 .0008 1 0.95 9.22 .0009 2 0.95 9.90 .0010 2 0.95 9.65 .0011 2 0.95 9.56 .0012 1 0.95 9.50 .0013 1 0.95 9.43 .0014 1 0.95 9.32 .0015 1 0.95 9.52 .0016 1 0.95 9.41 .0017 1 0.95 9.51 .0018 1 0.95 9.87 .0019 1 0.95 9.94 .0020 2 0.95 9.83 .0021 2 0.95 10.17 .0022 2 0.95 10.07 .0023 2 0.95 11.30 .0024 2 0.95 10.23 .0025 2 0.95 9.82 .0026 2 0.95 10.11 .0027 3 0.95 10.66 .0028 2 0.95 10.31 .0029 1 0.95 10.29 .0030 3 0.95 9.51 .0031 2 0.95 9.75 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0.92 6.81 .1914 2 0.92 6.13 .1915 1 0.92 5.70 .1916 2 0.92 5.93 .1917 3 0.92 6.13 .1918 2 0.92 6.05 .1919 2 0.92 6.44 .1920 2 0.92 5.73 .1921 1 0.92 5.72 .1922 3 0.92 5.60 .1923 2 0.92 5.93 .1924 2 0.92 5.75 .1925 2 0.92 5.93 .1926 1 0.92 6.23 .1927 2 0.92 5.53 .1928 1 0.92 6.12 .1929 1 0.92 6.10 .1930 1 0.92 5.92 .1931 2 0.92 5.83 .1932 1 0.92 5.55 .1933 1 0.92 5.76 .1934 1 0.92 5.66 .1935 1 0.92 6.04 .1936 1 0.92 6.43 .1937 1 0.92 5.93 .1938 1 0.92 6.43 .1939 1 0.92 7.70 .1940 2 0.92 6.55 .1941 2 0.92 6.34 .1942 2 0.92 6.25 .1943 2 0.92 6.27 .1944 1 0.92 6.50 .1945 1 0.92 6.59 .1946 2 0.92 6.26 .1947 2 0.92 6.74 .1948 1 0.92 6.83 .1949 3 0.92 6.48 .1950 1 0.92 6.15 .1951 1 0.92 6.17 .1952 1 0.92 6.10 .1953 1 0.92 6.33 .1954 2 0.92 6.07 .1955 3 0.92 6.06 .1956 1 0.92 6.63 .1957 1 0.92 6.00 .1958 1 0.92 6.68 .1959 1 0.92 5.89 .1960 1 0.92 5.89 .1961 1 0.92 5.92 .1962 2 0.92 5.89 .1963 2 0.92 6.06 .1964 2 0.92 6.18 .1965 3 0.92 6.24 .1966 3 0.92 5.99 .1967 1 0.92 6.15 .1968 1 0.92 5.95 .1969 2 0.92 5.95 .1970 1 0.92 6.89 .1971 3 0.92 5.85 .1972 4 0.92 6.37 .1973 1 0.92 5.99 .1974 1 0.92 5.93 .1975 2 0.92 6.04 .1976 2 0.92 6.19 .1977 2 0.92 6.28 .1978 1 0.92 6.10 .1979 2 0.92 5.93 .1980 1 0.92 5.77 .1981 2 0.92 6.30 .1982 2 0.92 6.75 .1983 1 0.92 6.13 .1984 1 0.92 6.14 .1985 3 0.92 6.33 .1986 2 0.92 6.14 .1987 3 0.92 6.24 .1988 2 0.92 5.97 .1989 2 0.92 6.08 .1990 1 0.92 6.79 .1991 2 0.92 6.29 .1992 1 0.92 6.53 .1993 2 0.92 6.10 .1994 2 0.92 6.15 .1995 1 0.92 6.04 .1996 2 0.92 5.92 .1997 1 0.92 5.93 .1998 1 0.92 6.02 .1999 3 0.92 6.10 .2000 3 0.92 5.62 .2001 2 0.92 5.55 .2002 1 0.92 5.99 .2003 1 0.92 6.41 .2004 1 0.92 5.38 .2005 1 0.92 5.73 .2006 2 0.92 5.93 .2007 2 0.92 5.80 .2008 1 0.92 6.11 .2009 1 0.92 5.90 .2010 1 0.92 6.07 .2011 2 0.92 5.75 .2012 2 0.92 5.96 .2013 3 0.92 6.82 .2014 3 0.92 6.04 .2015 2 0.92 6.04 .2016 1 0.92 6.71 .2017 2 0.92 5.82 .2018 1 0.92 5.92 .2019 1 0.92 5.79 .2020 1 0.92 5.85 .2021 2 0.92 5.90 .2022 1 0.92 6.15 .2023 1 0.92 5.90 .2024 2 0.92 6.10 .2025 1 0.92 5.76 .2026 2 0.92 5.79 .2027 1 0.92 5.54 .2028 2 0.92 6.01 .2029 3 0.92 6.52 .2030 4 0.92 5.51 .2031 2 0.92 5.66 .2032 1 0.92 5.44 .2033 1 0.92 5.75 .2034 2 0.92 5.30 .2035 2 0.92 5.51 .2036 2 0.92 5.34 .2037 1 0.92 5.25 .2038 3 0.92 5.08 .2039 1 0.92 5.45 .2040 3 0.92 5.15 .2041 1 0.92 5.10 .2042 1 0.92 5.14 .2043 1 0.92 5.00 .2044 2 0.92 5.53 .2045 2 0.92 5.22 .2046 2 0.92 5.42 .2047 3 0.92 4.71 EXTRACT_IMAGE: sdR-r2-00034588.fit: masked 1203 pixels EXTRACT_OBJECT: sdR-r2-00034588.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034588.fit: WARNING: Scattered light median = 365.419 electrons QAPLOT_SCATLIGHT: sdR-r2-00034588.fit: WARNING: Scattered light max = 686.524 electrons EXTRACT_OBJECT: sdR-r2-00034588.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034588.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034588.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034588.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.15 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.59 96 0.02 0.15 Step 36 of 2112 0.59 96 0.02 0.15 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.14 Step 92 of 2112 0.59 96 0.03 0.16 Step 100 of 2112 0.60 96 0.02 0.15 Step 108 of 2112 0.60 96 0.02 0.16 Step 116 of 2112 0.60 96 0.02 0.16 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.14 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.61 96 0.02 0.14 Step 172 of 2112 0.61 96 0.02 0.14 Step 180 of 2112 0.61 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.62 96 0.02 0.15 Step 236 of 2112 0.62 96 0.02 0.13 Step 244 of 2112 0.62 96 0.02 0.14 Step 252 of 2112 0.62 96 0.03 0.16 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.03 0.16 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.63 96 0.02 0.15 Step 308 of 2112 0.63 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.03 0.15 Step 340 of 2112 0.63 96 0.02 0.16 Step 348 of 2112 0.63 96 0.03 0.17 Step 356 of 2112 0.63 96 0.02 0.16 Step 364 of 2112 0.64 96 0.02 0.15 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.15 Step 396 of 2112 0.64 96 0.02 0.16 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.03 0.16 Step 420 of 2112 0.64 96 0.02 0.14 Step 428 of 2112 0.65 96 0.02 0.16 Step 436 of 2112 0.65 96 0.02 0.15 Step 444 of 2112 0.65 96 0.03 0.16 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.16 Step 468 of 2112 0.65 96 0.03 0.15 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 96 0.02 0.15 Step 492 of 2112 0.66 96 0.02 0.15 Step 500 of 2112 0.66 96 0.02 0.15 Step 508 of 2112 0.66 96 0.02 0.15 Step 516 of 2112 0.66 96 0.02 0.15 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.02 0.14 Step 540 of 2112 0.66 96 0.02 0.15 Step 548 of 2112 0.66 96 0.03 0.16 Step 556 of 2112 0.67 96 0.02 0.14 Step 564 of 2112 0.67 96 0.02 0.16 Step 572 of 2112 0.67 96 0.02 0.16 Step 580 of 2112 0.67 96 0.02 0.15 Step 588 of 2112 0.67 96 0.02 0.16 Step 596 of 2112 0.67 96 0.02 0.15 Step 604 of 2112 0.67 96 0.03 0.16 Step 612 of 2112 0.68 96 0.02 0.15 Step 620 of 2112 0.68 96 0.02 0.16 Step 628 of 2112 0.68 96 0.02 0.15 Step 636 of 2112 0.68 96 0.02 0.14 Step 644 of 2112 0.68 128 0.03 0.21 Step 652 of 2112 0.68 128 0.02 0.20 Step 660 of 2112 0.68 128 0.03 0.21 Step 668 of 2112 0.68 128 0.02 0.19 Step 676 of 2112 0.69 128 0.03 0.19 Step 684 of 2112 0.69 128 0.03 0.20 Step 692 of 2112 0.69 128 0.03 0.21 Step 700 of 2112 0.69 128 0.03 0.21 Step 708 of 2112 0.69 128 0.03 0.20 Step 716 of 2112 0.69 128 0.02 0.21 Step 724 of 2112 0.69 128 0.03 0.21 Step 732 of 2112 0.69 128 0.03 0.22 Step 740 of 2112 0.70 128 0.03 0.21 Step 748 of 2112 0.70 128 0.03 0.22 Step 756 of 2112 0.70 128 0.03 0.22 Step 764 of 2112 0.70 128 0.03 0.20 Step 772 of 2112 0.70 128 0.03 0.23 Step 780 of 2112 0.70 128 0.02 0.21 Step 788 of 2112 0.70 128 0.03 0.22 Step 796 of 2112 0.71 128 0.02 0.22 Step 804 of 2112 0.71 128 0.02 0.21 Step 812 of 2112 0.71 128 0.03 0.22 Step 820 of 2112 0.71 128 0.03 0.21 Step 828 of 2112 0.71 128 0.03 0.21 Step 836 of 2112 0.71 128 0.02 0.20 Step 844 of 2112 0.71 128 0.03 0.22 Step 852 of 2112 0.71 128 0.02 0.20 Step 860 of 2112 0.72 128 0.02 0.21 Step 868 of 2112 0.72 128 0.03 0.21 Step 876 of 2112 0.72 128 0.02 0.20 Step 884 of 2112 0.72 128 0.02 0.21 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.02 0.20 Step 908 of 2112 0.72 128 0.02 0.20 Step 916 of 2112 0.73 128 0.03 0.21 Step 924 of 2112 0.73 128 0.02 0.21 Step 932 of 2112 0.73 128 0.03 0.22 Step 940 of 2112 0.73 128 0.02 0.20 Step 948 of 2112 0.73 128 0.03 0.23 Step 956 of 2112 0.73 128 0.03 0.23 Step 964 of 2112 0.73 128 0.02 0.21 Step 972 of 2112 0.73 128 0.01 0.21 Step 980 of 2112 0.74 128 0.03 0.23 Step 988 of 2112 0.74 128 0.03 0.21 Step 996 of 2112 0.74 128 0.03 0.21 Step 1004 of 2112 0.74 128 0.02 0.20 Step 1012 of 2112 0.74 128 0.03 0.21 Step 1020 of 2112 0.74 128 0.03 0.21 Step 1028 of 2112 0.74 128 0.03 0.22 Step 1036 of 2112 0.75 128 0.02 0.21 Step 1044 of 2112 0.75 128 0.02 0.21 Step 1052 of 2112 0.75 128 0.03 0.21 Step 1060 of 2112 0.75 128 0.02 0.21 Step 1068 of 2112 0.75 128 0.02 0.20 Step 1076 of 2112 0.75 128 0.02 0.20 Step 1084 of 2112 0.75 128 0.02 0.22 Step 1092 of 2112 0.75 160 0.03 0.35 Step 1100 of 2112 0.76 160 0.04 0.36 Step 1108 of 2112 0.76 160 0.03 0.36 Step 1116 of 2112 0.76 160 0.04 0.34 Step 1124 of 2112 0.76 160 0.03 0.33 Step 1132 of 2112 0.76 160 0.03 0.32 Step 1140 of 2112 0.76 160 0.03 0.32 Step 1148 of 2112 0.76 160 0.03 0.33 Step 1156 of 2112 0.77 160 0.03 0.33 Step 1164 of 2112 0.77 160 0.03 0.32 Step 1172 of 2112 0.77 160 0.03 0.33 Step 1180 of 2112 0.77 160 0.03 0.33 Step 1188 of 2112 0.77 160 0.03 0.33 Step 1196 of 2112 0.77 160 0.03 0.34 Step 1204 of 2112 0.77 160 0.03 0.34 Step 1212 of 2112 0.78 160 0.03 0.34 Step 1220 of 2112 0.78 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.34 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.03 0.32 Step 1252 of 2112 0.78 160 0.03 0.33 Step 1260 of 2112 0.78 160 0.03 0.32 Step 1268 of 2112 0.78 160 0.03 0.32 Step 1276 of 2112 0.79 160 0.03 0.33 Step 1284 of 2112 0.79 160 0.03 0.35 Step 1292 of 2112 0.79 160 0.03 0.33 Step 1300 of 2112 0.79 160 0.03 0.33 Step 1308 of 2112 0.79 160 0.03 0.33 Step 1316 of 2112 0.79 160 0.03 0.32 Step 1324 of 2112 0.79 160 0.03 0.32 Step 1332 of 2112 0.80 160 0.03 0.32 Step 1340 of 2112 0.80 160 0.03 0.32 Step 1348 of 2112 0.80 160 0.03 0.32 Step 1356 of 2112 0.80 160 0.03 0.33 Step 1364 of 2112 0.80 160 0.02 0.32 Step 1372 of 2112 0.80 160 0.03 0.33 Step 1380 of 2112 0.80 160 0.03 0.34 Step 1388 of 2112 0.81 160 0.03 0.34 Step 1396 of 2112 0.81 160 0.03 0.33 Step 1404 of 2112 0.81 160 0.03 0.33 Step 1412 of 2112 0.81 160 0.03 0.33 Step 1420 of 2112 0.81 160 0.03 0.33 Step 1428 of 2112 0.81 160 0.03 0.34 Step 1436 of 2112 0.81 160 0.03 0.33 Step 1444 of 2112 0.82 160 0.03 0.33 Step 1452 of 2112 0.82 192 0.04 0.38 Step 1460 of 2112 0.82 192 0.04 0.38 Step 1468 of 2112 0.82 192 0.04 0.38 Step 1476 of 2112 0.82 192 0.04 0.37 Step 1484 of 2112 0.82 192 0.04 0.39 Step 1492 of 2112 0.82 192 0.04 0.37 Step 1500 of 2112 0.82 192 0.04 0.37 Step 1508 of 2112 0.83 192 0.04 0.37 Step 1516 of 2112 0.83 192 0.03 0.37 Step 1524 of 2112 0.83 192 0.04 0.37 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.04 0.38 Step 1548 of 2112 0.83 192 0.04 0.38 Step 1556 of 2112 0.83 192 0.04 0.36 Step 1564 of 2112 0.84 192 0.04 0.36 Step 1572 of 2112 0.84 192 0.04 0.36 Step 1580 of 2112 0.84 192 0.04 0.39 Step 1588 of 2112 0.84 192 0.04 0.39 Step 1596 of 2112 0.84 192 0.04 0.37 Step 1604 of 2112 0.84 192 0.04 0.37 Step 1612 of 2112 0.84 192 0.04 0.38 Step 1620 of 2112 0.85 192 0.04 0.38 Step 1628 of 2112 0.85 192 0.04 0.37 Step 1636 of 2112 0.85 192 0.04 0.39 Step 1644 of 2112 0.85 192 0.04 0.37 Step 1652 of 2112 0.85 192 0.04 0.39 Step 1660 of 2112 0.85 192 0.04 0.38 Step 1668 of 2112 0.85 192 0.04 0.38 Step 1676 of 2112 0.86 192 0.05 0.39 Step 1684 of 2112 0.86 192 0.04 0.41 Step 1692 of 2112 0.86 192 0.04 0.39 Step 1700 of 2112 0.86 192 0.04 0.37 Step 1708 of 2112 0.86 192 0.04 0.39 Step 1716 of 2112 0.86 192 0.04 0.37 Step 1724 of 2112 0.86 192 0.04 0.38 Step 1732 of 2112 0.87 192 0.04 0.37 Step 1740 of 2112 0.87 192 0.04 0.37 Step 1748 of 2112 0.87 224 0.04 0.49 Step 1756 of 2112 0.87 224 0.05 0.51 Step 1764 of 2112 0.87 224 0.03 0.53 Step 1772 of 2112 0.87 224 0.03 0.49 Step 1780 of 2112 0.87 224 0.04 0.51 Step 1788 of 2112 0.88 224 0.04 0.51 Step 1796 of 2112 0.88 224 0.04 0.49 Step 1804 of 2112 0.88 224 0.04 0.49 Step 1812 of 2112 0.88 224 0.04 0.50 Step 1820 of 2112 0.88 224 0.05 0.49 Step 1828 of 2112 0.88 224 0.05 0.51 Step 1836 of 2112 0.88 224 0.05 0.50 Step 1844 of 2112 0.89 224 0.04 0.47 Step 1852 of 2112 0.89 224 0.04 0.48 Step 1860 of 2112 0.89 224 0.04 0.47 Step 1868 of 2112 0.89 224 0.05 0.51 Step 1876 of 2112 0.89 224 0.04 0.47 Step 1884 of 2112 0.89 224 0.04 0.52 Step 1892 of 2112 0.89 224 0.04 0.49 Step 1900 of 2112 0.90 224 0.04 0.48 Step 1908 of 2112 0.90 224 0.05 0.49 Step 1916 of 2112 0.90 224 0.04 0.48 Step 1924 of 2112 0.90 224 0.04 0.49 Step 1932 of 2112 0.90 224 0.04 0.49 Step 1940 of 2112 0.90 224 0.03 0.48 Step 1948 of 2112 0.90 224 0.04 0.52 Step 1956 of 2112 0.91 224 0.04 0.49 Step 1964 of 2112 0.91 224 0.05 0.50 Step 1972 of 2112 0.91 224 0.05 0.47 Step 1980 of 2112 0.91 224 0.05 0.49 Step 1988 of 2112 0.91 224 0.05 0.48 Step 1996 of 2112 0.91 256 0.05 0.52 Step 2004 of 2112 0.91 256 0.05 0.55 Step 2012 of 2112 0.92 256 0.05 0.51 Step 2020 of 2112 0.92 256 0.05 0.51 Step 2028 of 2112 0.92 256 0.05 0.56 Step 2036 of 2112 0.92 256 0.06 0.53 Step 2044 of 2112 0.92 256 0.05 0.50 Step 2052 of 2112 0.92 256 0.06 0.51 Step 2060 of 2112 0.92 256 0.05 0.52 Step 2068 of 2112 0.93 256 0.06 0.55 Step 2076 of 2112 0.93 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.05 0.50 Step 2092 of 2112 0.93 256 0.05 0.52 Step 2100 of 2112 0.93 256 0.05 0.51 Step 2108 of 2112 0.93 256 0.06 0.52 EXTRACT_OBJECT: sdR-r2-00034588.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 9.15 .0004 2 0.95 10.01 .0005 2 0.95 8.88 .0006 2 0.95 8.73 .0007 1 0.95 8.64 .0008 1 0.95 8.90 .0009 2 0.95 9.56 .0010 2 0.95 9.31 .0011 2 0.95 9.21 .0012 1 0.95 9.16 .0013 1 0.95 9.06 .0014 1 0.95 8.96 .0015 1 0.95 9.15 .0016 1 0.95 9.04 .0017 1 0.95 9.15 .0018 1 0.95 9.48 .0019 1 0.95 9.52 .0020 2 0.95 9.41 .0021 2 0.95 9.76 .0022 2 0.95 9.66 .0023 2 0.95 10.88 .0024 2 0.95 9.80 .0025 2 0.95 9.41 .0026 2 0.95 9.68 .0027 2 0.95 10.21 .0028 3 0.95 9.37 .0029 2 0.95 9.35 .0030 2 0.95 9.08 .0031 2 0.95 9.32 .0032 3 0.95 9.32 .0033 2 0.95 9.08 .0034 2 0.95 9.33 .0035 2 0.95 9.24 .0036 2 0.95 8.98 .0037 2 0.95 9.26 .0038 2 0.95 9.13 .0039 2 0.95 9.42 .0040 2 0.95 9.35 .0041 2 0.95 9.59 .0042 3 0.95 9.06 .0043 3 0.95 9.96 .0044 2 0.95 9.25 .0045 2 0.95 9.28 .0046 2 0.95 9.32 .0047 2 0.95 9.03 .0048 2 0.95 9.98 .0049 2 0.95 9.36 .0050 2 0.95 9.34 .0051 2 0.95 9.77 .0052 2 0.95 9.10 .0053 3 0.95 9.83 .0054 3 0.95 9.07 .0055 2 0.95 9.49 .0056 2 0.95 10.14 .0057 2 0.95 9.02 .0058 2 0.95 9.01 .0059 2 0.95 9.16 .0060 2 0.95 9.57 .0061 2 0.95 9.17 .0062 2 0.95 9.16 .0063 2 0.95 9.59 .0064 2 0.95 8.93 .0065 2 0.95 9.24 .0066 2 0.95 9.85 .0067 2 0.95 9.67 .0068 2 0.95 9.81 .0069 2 0.95 10.51 .0070 2 0.95 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0.92 4.56 .2017 2 0.92 4.21 .2018 1 0.92 4.29 .2019 1 0.92 4.21 .2020 1 0.92 4.24 .2021 2 0.92 4.30 .2022 1 0.92 4.55 .2023 1 0.92 4.33 .2024 2 0.92 4.55 .2025 1 0.92 4.16 .2026 2 0.92 4.35 .2027 1 0.92 4.17 .2028 4 0.92 4.00 .2029 4 0.92 4.75 .2030 4 0.92 4.18 .2031 2 0.92 4.19 .2032 1 0.92 4.04 .2033 2 0.92 4.06 .2034 2 0.92 3.98 .2035 2 0.92 4.10 .2036 2 0.92 3.93 .2037 1 0.92 3.95 .2038 3 0.92 3.75 .2039 1 0.92 4.08 .2040 3 0.92 3.79 .2041 1 0.92 3.72 .2042 1 0.92 3.75 .2043 1 0.92 3.71 .2044 2 0.92 4.24 .2045 2 0.92 3.97 .2046 3 0.92 3.89 .2047 3 0.92 3.45 EXTRACT_IMAGE: sdR-r2-00034588.fit: masked 1364 pixels EXTRACT_OBJECT: sdR-r2-00034588.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034588.fit: WARNING: Scattered light median = 123.052 electrons QAPLOT_SCATLIGHT: sdR-r2-00034588.fit: WARNING: Scattered light max = 362.413 electrons EXTRACT_OBJECT: sdR-r2-00034588.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 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2 0.91 6.31 .1498 2 0.91 6.22 .1499 1 0.91 6.07 .1500 1 0.91 6.23 .1501 1 0.91 6.54 .1502 1 0.91 6.19 .1503 2 0.91 6.27 .1504 2 0.91 6.14 .1505 1 0.91 5.90 .1506 1 0.91 6.19 .1507 2 0.91 6.20 .1508 2 0.91 6.46 .1509 2 0.91 6.26 .1510 2 0.91 6.02 .1511 1 0.91 6.65 .1512 1 0.91 6.25 .1513 1 0.91 6.10 .1514 1 0.91 6.00 .1515 1 0.91 6.19 .1516 2 0.91 6.20 .1517 1 0.91 6.02 .1518 1 0.91 6.17 .1519 2 0.91 6.04 .1520 4 0.91 6.02 .1521 1 0.91 6.23 .1522 1 0.91 5.96 .1523 1 0.91 6.12 .1524 2 0.91 5.82 .1525 3 0.91 5.81 .1526 1 0.91 6.13 .1527 2 0.91 5.81 .1528 2 0.91 6.13 .1529 2 0.91 6.27 .1530 2 0.91 6.23 .1531 4 0.91 6.36 .1532 1 0.91 6.21 .1533 1 0.91 6.05 .1534 1 0.91 6.07 .1535 1 0.91 5.90 .1536 2 0.91 6.14 .1537 3 0.91 6.03 .1538 2 0.91 6.45 .1539 2 0.91 6.23 .1540 3 0.91 6.16 .1541 2 0.91 6.32 .1542 3 0.91 6.32 .1543 3 0.91 6.02 .1544 1 0.91 6.03 .1545 1 0.91 6.23 .1546 2 0.91 6.27 .1547 1 0.91 5.86 .1548 2 0.91 5.94 .1549 2 0.91 6.21 .1550 2 0.91 6.20 .1551 4 0.91 6.14 .1552 2 0.91 6.21 .1553 1 0.91 6.27 .1554 1 0.91 6.16 .1555 1 0.91 6.69 .1556 1 0.91 6.21 .1557 1 0.91 6.35 .1558 1 0.91 6.19 .1559 1 0.91 6.08 .1560 1 0.91 6.08 .1561 1 0.91 6.41 .1562 1 0.91 6.84 .1563 3 0.91 6.58 .1564 1 0.91 6.36 .1565 2 0.91 6.24 .1566 3 0.91 6.18 .1567 1 0.91 5.94 .1568 2 0.91 6.30 .1569 3 0.91 6.00 .1570 2 0.91 5.92 .1571 2 0.91 6.17 .1572 2 0.91 6.26 .1573 2 0.91 5.99 .1574 1 0.91 5.94 .1575 1 0.91 6.22 .1576 1 0.91 6.21 .1577 1 0.91 6.08 .1578 2 0.91 6.34 .1579 1 0.91 6.60 .1580 2 0.91 6.26 .1581 2 0.91 5.63 .1582 1 0.91 5.98 .1583 1 0.91 5.91 .1584 1 0.91 6.16 .1585 2 0.91 6.14 .1586 2 0.91 6.40 .1587 3 0.91 6.24 .1588 1 0.91 5.93 .1589 2 0.91 6.11 .1590 1 0.91 6.02 .1591 3 0.91 6.08 .1592 1 0.91 6.40 .1593 2 0.91 6.15 .1594 2 0.91 6.16 .1595 3 0.91 6.01 .1596 3 0.91 5.97 .1597 2 0.91 6.05 .1598 3 0.91 6.13 .1599 2 0.91 5.96 .1600 1 0.91 5.97 .1601 1 0.91 5.85 .1602 2 0.91 5.95 .1603 1 0.91 5.99 .1604 1 0.91 6.30 .1605 1 0.91 5.91 .1606 2 0.91 6.11 .1607 1 0.91 6.06 .1608 1 0.91 6.24 .1609 2 0.91 6.45 .1610 2 0.91 6.13 .1611 2 0.91 6.02 .1612 3 0.91 5.92 .1613 3 0.91 5.95 .1614 3 0.91 6.03 .1615 3 0.91 6.09 .1616 1 0.91 6.19 .1617 1 0.91 5.95 .1618 1 0.91 5.95 .1619 2 0.91 5.82 .1620 2 0.91 5.90 .1621 3 0.91 5.94 .1622 1 0.91 6.22 .1623 2 0.91 6.20 .1624 3 0.91 6.03 .1625 2 0.91 6.04 .1626 1 0.91 6.13 .1627 2 0.91 5.75 .1628 1 0.91 6.11 .1629 1 0.91 5.85 .1630 1 0.91 5.76 .1631 1 0.91 5.76 .1632 1 0.91 5.74 .1633 2 0.91 5.71 .1634 2 0.91 5.65 .1635 2 0.91 6.04 .1636 1 0.91 5.83 .1637 1 0.91 5.74 .1638 2 0.91 5.78 .1639 1 0.91 5.72 .1640 2 0.91 5.84 .1641 1 0.92 5.52 .1642 1 0.92 5.45 .1643 1 0.92 5.44 .1644 2 0.92 5.43 .1645 2 0.92 5.55 .1646 1 0.92 5.63 .1647 2 0.92 5.77 .1648 2 0.92 5.51 .1649 2 0.92 5.50 .1650 2 0.92 5.41 .1651 2 0.92 5.62 .1652 2 0.92 5.36 .1653 2 0.92 5.75 .1654 2 0.92 5.56 .1655 2 0.92 5.59 .1656 2 0.92 5.62 .1657 1 0.92 5.29 .1658 1 0.92 5.67 .1659 2 0.92 5.61 .1660 3 0.92 5.41 .1661 2 0.92 5.52 .1662 2 0.92 5.68 .1663 1 0.92 5.36 .1664 3 0.92 5.76 .1665 3 0.92 5.73 .1666 2 0.92 5.30 .1667 2 0.92 5.33 .1668 2 0.92 5.34 .1669 2 0.92 5.34 .1670 1 0.92 5.24 .1671 1 0.92 5.01 .1672 1 0.92 5.51 .1673 1 0.92 5.61 .1674 3 0.92 5.75 .1675 1 0.92 5.49 .1676 1 0.92 5.49 .1677 1 0.92 5.46 .1678 3 0.92 5.71 .1679 1 0.92 5.44 .1680 1 0.92 5.65 .1681 2 0.92 5.63 .1682 2 0.92 5.32 .1683 4 0.92 5.47 .1684 1 0.92 5.43 .1685 2 0.92 5.26 .1686 2 0.92 5.30 .1687 2 0.92 5.35 .1688 3 0.92 5.28 .1689 2 0.92 5.67 .1690 1 0.92 5.14 .1691 1 0.92 5.11 .1692 1 0.92 5.21 .1693 2 0.92 5.24 .1694 2 0.92 5.23 .1695 1 0.92 5.19 .1696 1 0.92 5.15 .1697 3 0.92 5.75 .1698 3 0.92 5.43 .1699 2 0.92 5.40 .1700 2 0.92 5.21 .1701 2 0.92 5.19 .1702 3 0.92 5.11 .1703 1 0.92 5.51 .1704 1 0.92 5.21 .1705 2 0.92 5.20 .1706 2 0.92 5.48 .1707 2 0.92 5.19 .1708 2 0.92 5.42 .1709 3 0.92 5.33 .1710 2 0.92 5.38 .1711 2 0.92 5.18 .1712 2 0.92 5.30 .1713 3 0.92 5.43 .1714 1 0.92 4.99 .1715 2 0.92 5.41 .1716 1 0.92 4.84 .1717 2 0.92 4.83 .1718 2 0.92 4.87 .1719 1 0.92 4.97 .1720 1 0.92 5.29 .1721 2 0.92 5.16 .1722 2 0.92 4.93 .1723 2 0.92 5.07 .1724 2 0.92 4.85 .1725 2 0.92 5.04 .1726 2 0.92 4.97 .1727 2 0.92 4.95 .1728 1 0.92 4.73 .1729 1 0.92 4.94 .1730 3 0.92 4.81 .1731 2 0.92 5.01 .1732 3 0.92 4.84 .1733 1 0.92 4.77 .1734 2 0.92 4.69 .1735 1 0.92 4.68 .1736 2 0.92 4.79 .1737 1 0.92 4.72 .1738 2 0.92 4.73 .1739 2 0.92 4.95 .1740 1 0.92 4.99 .1741 3 0.92 4.82 .1742 2 0.92 5.10 .1743 1 0.92 4.89 .1744 2 0.92 4.79 .1745 1 0.92 5.10 .1746 1 0.92 4.94 .1747 1 0.92 5.15 .1748 1 0.92 4.97 .1749 2 0.92 5.15 .1750 3 0.92 5.00 .1751 2 0.92 5.47 .1752 2 0.92 5.06 .1753 1 0.92 4.72 .1754 2 0.92 4.93 .1755 2 0.92 5.13 .1756 3 0.92 4.99 .1757 2 0.92 4.77 .1758 1 0.92 5.14 .1759 3 0.92 5.01 .1760 3 0.92 5.08 .1761 1 0.92 4.97 .1762 3 0.92 4.99 .1763 2 0.92 5.06 .1764 2 0.92 5.20 .1765 3 0.92 5.12 .1766 2 0.92 5.05 .1767 2 0.92 4.99 .1768 1 0.92 4.91 .1769 2 0.92 5.04 .1770 1 0.92 5.12 .1771 1 0.92 4.91 .1772 1 0.92 4.77 .1773 2 0.92 4.85 .1774 2 0.92 4.60 .1775 1 0.92 4.78 .1776 2 0.92 4.83 .1777 2 0.92 4.95 .1778 2 0.92 4.92 .1779 1 0.92 4.78 .1780 3 0.92 4.71 .1781 2 0.92 4.74 .1782 1 0.92 4.95 .1783 1 0.92 4.73 .1784 1 0.92 5.01 .1785 3 0.92 4.78 .1786 1 0.92 4.84 .1787 1 0.92 4.89 .1788 4 0.92 4.91 .1789 2 0.92 5.13 .1790 1 0.92 5.02 .1791 2 0.92 5.09 .1792 2 0.92 4.91 .1793 2 0.92 4.98 .1794 2 0.92 5.08 .1795 1 0.92 5.12 .1796 1 0.92 4.96 .1797 3 0.92 5.07 .1798 3 0.92 5.36 .1799 2 0.92 5.24 .1800 3 0.92 5.12 .1801 2 0.92 5.13 .1802 1 0.92 4.99 .1803 1 0.92 5.15 .1804 3 0.92 5.20 .1805 2 0.92 5.11 .1806 3 0.92 5.21 .1807 2 0.92 5.29 .1808 2 0.92 5.12 .1809 2 0.92 5.25 .1810 3 0.92 5.01 .1811 2 0.92 5.17 .1812 2 0.92 5.30 .1813 1 0.92 5.12 .1814 5 0.92 5.29 .1815 2 0.92 5.02 .1816 1 0.92 5.06 .1817 1 0.92 5.01 .1818 1 0.92 4.98 .1819 2 0.92 4.91 .1820 2 0.92 5.04 .1821 2 0.92 5.20 .1822 2 0.92 5.28 .1823 2 0.92 5.03 .1824 2 0.92 5.10 .1825 2 0.92 5.15 .1826 1 0.92 5.35 .1827 1 0.92 4.91 .1828 2 0.92 5.48 .1829 2 0.92 5.00 .1830 1 0.92 4.89 .1831 1 0.92 5.01 .1832 1 0.92 4.96 .1833 1 0.92 4.75 .1834 1 0.92 4.82 .1835 2 0.92 4.76 .1836 2 0.92 5.20 .1837 2 0.92 4.85 .1838 1 0.92 4.71 .1839 3 0.92 5.06 .1840 2 0.92 5.01 .1841 4 0.92 4.85 .1842 3 0.92 5.15 .1843 2 0.92 5.10 .1844 1 0.92 5.02 .1845 2 0.92 5.01 .1846 2 0.92 4.87 .1847 2 0.92 4.86 .1848 1 0.92 5.21 .1849 3 0.92 4.75 .1850 2 0.92 4.87 .1851 2 0.92 4.82 .1852 2 0.92 4.71 .1853 1 0.92 4.82 .1854 1 0.92 5.45 .1855 1 0.92 4.95 .1856 4 0.92 5.16 .1857 3 0.92 5.21 .1858 1 0.92 4.93 .1859 2 0.92 5.35 .1860 3 0.92 5.68 .1861 2 0.92 5.97 .1862 1 0.92 5.53 .1863 2 0.92 5.34 .1864 2 0.92 5.51 .1865 3 0.92 5.36 .1866 2 0.92 5.58 .1867 2 0.92 5.47 .1868 1 0.92 5.23 .1869 1 0.92 5.37 .1870 2 0.92 5.47 .1871 2 0.92 5.58 .1872 2 0.92 5.57 .1873 3 0.92 5.39 .1874 1 0.92 5.41 .1875 1 0.92 5.50 .1876 1 0.92 5.29 .1877 2 0.92 5.35 .1878 1 0.92 5.29 .1879 2 0.92 5.05 .1880 1 0.92 5.44 .1881 4 0.92 5.28 .1882 3 0.92 5.31 .1883 2 0.92 5.38 .1884 1 0.92 5.28 .1885 2 0.92 5.09 .1886 1 0.92 4.97 .1887 2 0.92 5.16 .1888 2 0.92 5.33 .1889 2 0.92 5.21 .1890 3 0.92 5.05 .1891 3 0.92 5.16 .1892 2 0.92 5.12 .1893 2 0.92 5.05 .1894 1 0.92 5.34 .1895 3 0.92 5.40 .1896 2 0.92 5.15 .1897 1 0.92 5.06 .1898 2 0.92 4.77 .1899 2 0.92 5.21 .1900 1 0.92 5.11 .1901 1 0.92 4.92 .1902 1 0.92 4.78 .1903 3 0.92 4.94 .1904 2 0.92 4.75 .1905 2 0.92 4.54 .1906 2 0.92 4.59 .1907 2 0.92 4.69 .1908 1 0.92 4.74 .1909 3 0.92 4.72 .1910 3 0.92 4.59 .1911 2 0.92 4.47 .1912 3 0.92 4.67 .1913 3 0.92 4.77 .1914 2 0.92 4.63 .1915 2 0.92 4.27 .1916 3 0.92 4.57 .1917 3 0.92 4.59 .1918 3 0.92 4.55 .1919 3 0.92 4.35 .1920 3 0.92 4.39 .1921 1 0.92 4.33 .1922 3 0.92 4.35 .1923 3 0.92 4.42 .1924 2 0.92 4.31 .1925 2 0.92 4.52 .1926 2 0.92 4.58 .1927 2 0.92 4.27 .1928 2 0.92 4.59 .1929 2 0.92 4.41 .1930 2 0.92 4.40 .1931 2 0.92 4.51 .1932 2 0.92 4.28 .1933 1 0.92 4.40 .1934 1 0.92 4.34 .1935 1 0.92 4.50 .1936 2 0.92 4.59 .1937 1 0.92 4.62 .1938 2 0.92 4.76 .1939 2 0.92 5.46 .1940 3 0.92 4.72 .1941 2 0.92 4.79 .1942 2 0.92 4.74 .1943 2 0.92 4.71 .1944 2 0.92 4.71 .1945 2 0.92 4.87 .1946 2 0.92 4.64 .1947 3 0.92 4.67 .1948 4 0.92 4.62 .1949 4 0.92 4.65 .1950 1 0.92 4.59 .1951 1 0.92 4.69 .1952 1 0.92 4.63 .1953 1 0.92 4.86 .1954 2 0.92 4.55 .1955 3 0.92 4.50 .1956 3 0.92 4.55 .1957 1 0.92 4.67 .1958 3 0.92 4.60 .1959 1 0.92 4.45 .1960 1 0.92 4.32 .1961 1 0.92 4.40 .1962 2 0.92 4.36 .1963 2 0.92 4.19 .1964 2 0.92 4.39 .1965 3 0.92 4.39 .1966 3 0.92 4.45 .1967 2 0.92 4.38 .1968 2 0.92 4.47 .1969 4 0.92 4.40 .1970 3 0.92 4.63 .1971 6 0.92 4.31 .1972 3 0.92 4.91 .1973 1 0.92 4.51 .1974 1 0.92 4.37 .1975 2 0.92 4.52 .1976 2 0.92 4.42 .1977 2 0.92 4.43 .1978 1 0.92 4.64 .1979 2 0.92 4.38 .1980 1 0.92 4.35 .1981 2 0.92 4.54 .1982 2 0.92 4.52 .1983 3 0.92 4.37 .1984 1 0.92 4.66 .1985 3 0.92 4.78 .1986 2 0.92 4.55 .1987 3 0.92 4.54 .1988 2 0.92 4.59 .1989 2 0.92 4.61 .1990 2 0.92 4.85 .1991 2 0.92 4.63 .1992 2 0.92 4.66 .1993 2 0.92 4.70 .1994 3 0.92 4.59 .1995 2 0.92 4.46 .1996 2 0.92 4.36 .1997 1 0.92 4.56 .1998 2 0.92 4.30 .1999 3 0.92 4.44 .2000 3 0.92 4.21 .2001 2 0.92 4.23 .2002 3 0.92 4.28 .2003 4 0.92 4.38 .2004 1 0.92 4.18 .2005 2 0.92 4.30 .2006 2 0.92 4.49 .2007 2 0.92 4.40 .2008 2 0.92 4.39 .2009 1 0.92 4.45 .2010 2 0.92 4.65 .2011 2 0.92 4.51 .2012 2 0.92 4.45 .2013 3 0.92 4.82 .2014 4 0.92 4.49 .2015 2 0.92 4.50 .2016 3 0.92 4.57 .2017 2 0.92 4.41 .2018 1 0.92 4.52 .2019 1 0.92 4.34 .2020 1 0.92 4.47 .2021 2 0.92 4.53 .2022 1 0.92 4.69 .2023 1 0.92 4.47 .2024 2 0.92 4.49 .2025 1 0.92 4.35 .2026 2 0.92 4.49 .2027 2 0.92 4.21 .2028 2 0.92 4.22 .2029 3 0.92 4.69 .2030 3 0.92 4.24 .2031 2 0.92 4.25 .2032 1 0.92 4.21 .2033 2 0.92 4.22 .2034 2 0.92 4.15 .2035 3 0.92 4.17 .2036 3 0.92 4.10 .2037 2 0.92 4.02 .2038 3 0.92 4.00 .2039 1 0.92 4.29 .2040 3 0.92 3.90 .2041 1 0.92 3.85 .2042 1 0.92 3.89 .2043 1 0.92 3.91 .2044 2 0.92 3.96 .2045 2 0.92 4.15 .2046 4 0.92 3.93 .2047 2 0.92 3.68 EXTRACT_IMAGE: sdR-r2-00034588.fit: masked 1935 pixels DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 394 low points in trace 54 DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 425 low points in trace 184 DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 338 low points in trace 224 DIVIDEFLAT: sdR-r2-00034588.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034588.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 741 low points in trace 276 DIVIDEFLAT: sdR-r2-00034588.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034588.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034588.fit: Warning: Reject 455 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034588.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034588.fit: WARNING: sky shift reference line, sigma 7794.1200 0.21020326 LOCATESKYLINES_2: sdR-r2-00034588.fit: sky shift reference line, offset: 7794.1200 -0.045851674 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 0 6.3456099 108.52685 -0.20130751 1.0058703 1959.6073 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 6 5.9281651 -332.62453 -0.23387247 1.0115711 1920.3303 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 13 4.8289612 -280.86088 -0.26305638 0.98318665 2050.0770 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 18 3.1692101 -330.98110 -0.22486558 1.0134118 1979.8621 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 26 4.9795670 -4.0968246 -0.22920328 0.99746850 2083.3676 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 52 6.5282997 -209.29817 -0.21668139 0.97956651 2027.6754 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 60 2.8222715 -187.53082 -0.23970201 0.96514392 2125.7176 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 63 2.5811471 -263.85520 -0.25251272 1.0375663 2011.1113 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 82 8.1270887 -226.62447 -0.23765991 1.0025127 1916.0303 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 84 3.9572189 -367.58523 -0.23410106 0.99080742 1988.4277 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 109 7.0169517 -338.78805 -0.25240248 1.0106376 1972.0870 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 114 10.246716 -351.92902 -0.21147568 0.97293218 2117.5781 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 131 7.8127182 -205.17597 -0.23174665 0.94936634 1949.4533 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 153 7.0539580 122.62186 -0.20335432 0.98066916 2025.6848 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 176 20.472805 123.49833 -0.22034955 0.96734162 2086.2279 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 180 14.209862 102.25519 -0.22987725 0.94145677 2161.4588 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 184 13.096424 177.39671 -0.19467680 0.97653374 2021.4938 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 185 13.850260 68.156200 -0.26186008 1.0011787 2117.6822 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 186 17.061152 94.796050 -0.19928715 0.97836818 2045.2795 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 201 9.0352581 113.62473 -0.22125584 0.95100587 2008.8438 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 204 7.7341742 92.017762 -0.20930808 1.0260086 2054.6951 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 206 8.3255564 154.54416 -0.24701231 0.98117201 1998.2141 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 213 10.744402 126.56345 -0.20117322 0.96735261 2101.0422 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 235 13.680536 2.8480181 -0.19712518 0.95919712 2029.5700 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 257 13.540352 54.024345 -0.21413001 0.94129364 2131.3388 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 259 15.541477 220.57455 -0.25799160 0.96732954 1997.7101 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 260 7.1908641 49.659497 -0.20069090 1.0081905 1927.6556 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 261 3.4796692 143.77946 -0.17668368 0.94161043 2030.8018 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 265 14.271224 76.468565 -0.24178437 0.95658027 2086.4292 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 271 12.577019 45.799576 -0.23484913 0.97425447 2121.2407 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 276 9.4154962 57.154670 -0.22875827 0.95479825 2084.7242 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 281 9.6812077 -79.771859 -0.17531487 0.95579144 2150.5907 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 284 6.4385655 -58.642399 -0.23231489 0.94059040 2064.1727 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 307 7.8715598 -10.907443 -0.22407770 1.0062170 2065.7970 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 0 308 9.0961612 54.882102 -0.22347339 0.93875166 2101.2813 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 0 5.5296388 0.00015145954 -0.22275376 0.97452462 0.99983901 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 287 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 0 3.5615983 -0.0058925341 -0.22582908 0.99096781 0.99416227 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 287 of 315 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.271681-0.2258290.004097 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 0 1.1500941 16.195230 -0.13542453 1.1042600 674.03347 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 6 1.8191362 -393.36892 -0.18974638 0.94628664 617.80474 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 13 2.0373096 -362.91748 -0.20612216 1.0887198 638.27995 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 18 2.5954951 -394.75621 -0.28944725 0.92413445 638.19313 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 26 4.3479630 -101.42541 -0.28597082 1.0540403 634.32368 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 52 1.3212202 -304.16031 -0.21278781 0.91477767 671.33314 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 60 0.56928342 -244.84578 -0.12343902 0.90908545 677.08221 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 63 1.5921388 -339.08285 -0.25465382 1.0121795 678.49120 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 82 2.2880256 -269.84049 -0.22762348 0.99509747 680.52021 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 84 Infinity -1.5735733e-40 -3.6194483e-07 0.99999987 2.2871002e-40 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 109 0.37862332 -382.04873 -0.16957415 0.97890348 644.53522 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 114 2.0844568 -403.94935 -0.24352379 1.0290591 607.89828 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 131 1.5895384 -291.40294 -0.18441424 1.0222730 653.81200 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 153 4.1406798 45.954257 -0.21357774 0.89030013 644.14393 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 176 1.9880504 47.422468 -0.18611736 0.97079812 699.90076 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 180 3.6819418 47.117096 -0.27555322 0.96562546 658.50853 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 184 2.7096360 94.261693 -0.15199192 0.92693707 719.18287 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 185 1.5779083 41.198478 -0.22493289 0.98161487 629.80242 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 186 2.0866355 32.507906 -0.16443009 0.91965520 731.52251 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 201 0.80295185 15.306235 -0.18473852 1.0745044 647.84266 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 204 4.2268129 45.199360 -0.24513031 1.0095680 602.38163 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 206 1.9555106 73.749879 -0.29257619 1.0073002 604.11041 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 213 1.1477384 40.940919 -0.15517457 1.0142919 654.71071 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 235 1.1457994 -61.615902 -0.099740653 0.94095134 637.88980 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 257 2.5710752 51.466154 -0.12268069 0.90906745 670.42876 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 259 1.7240378 154.09354 -0.12786866 0.95689146 715.83727 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 260 0.57589991 -24.497488 -0.29476005 1.0715056 623.83776 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 261 1.0529609 64.535902 -0.27908788 1.0032317 626.90719 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 265 1.1186546 65.471461 -0.27790746 0.94550336 643.69187 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 271 0.70464530 4.9429618 -0.22759375 0.99584346 677.25891 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 276 1.0261464 -8.2375668 -0.21774089 1.0218061 671.36624 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 281 0.60268830 -97.100225 -0.14195978 0.98815482 636.71548 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 284 3.1724665 -141.39094 -0.28684867 1.1350601 623.82649 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 307 0.96814512 -55.031984 -0.093408370 1.0115091 589.31370 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 1 308 1.4617172 40.013772 -0.16497720 0.85506518 660.58629 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 1 2.7019140 0.0011017171 -0.20215799 0.98149993 0.99593924 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 306 of 310 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 1 1.3845030 0.0011018130 -0.20215805 0.98149942 0.99593940 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 306 of 310 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.248010-0.2021580.009367 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 0 0.26705342 5.3035384 -0.52960794 1.1858312 104.32532 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 6 -0.25000000 -587.57288 0.0000000 1.0000000 -322.22629 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 13 -0.25000000 -506.82196 0.0000000 1.0000000 -361.26672 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 18 -0.25000000 -472.29193 0.0000000 1.0000000 -354.82550 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 26 0.65136210 -91.710921 -0.48111659 1.1137188 147.20858 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 52 -0.25000000 -417.65591 0.0000000 1.0000000 -216.97696 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 60 -0.25000000 -367.69937 0.0000000 1.0000000 -217.22711 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 63 -0.25000000 -425.92242 0.0000000 1.0000000 -239.99698 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 82 -0.25000000 -352.41284 0.0000000 1.0000000 -229.20399 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 84 -0.25000000 -497.69574 0.0000000 1.0000000 -284.43716 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 109 -0.25000000 -442.06009 0.0000000 1.0000000 -285.56027 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 114 -0.25000000 -432.53763 0.0000000 1.0000000 -275.30328 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 131 -0.25000000 -261.80292 0.0000000 1.0000000 -156.27003 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 153 1.7035593 42.022938 -0.049168505 0.96326802 133.16113 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 176 3.7496982 63.919184 0.32407565 0.70309861 97.671966 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 180 1.7534598 37.351906 -0.59578386 1.2542228 109.66789 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 184 4.0911596 75.772323 -0.0022598541 0.79450771 136.87554 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 185 3.8588233 46.939043 -0.20150354 0.73235498 96.879774 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 186 0.66467595 29.049540 -0.48295027 1.1042198 123.11589 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 201 2.9133169 37.602314 0.38481613 0.60000000 93.431557 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 204 15.244212 72.024270 -0.14849515 0.60000000 121.12674 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 206 3.6098784 56.603690 -0.13509603 0.60000000 205.35180 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 213 3.6412104 95.206064 -0.63376424 0.60000000 71.213421 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 235 1.1112051 -50.587390 -0.47296381 0.75023963 122.71965 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 257 4.4361020 68.702122 0.33391821 1.0851626 93.152806 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 259 2.2738461 159.82196 -0.31242182 0.75239290 114.37505 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 260 5.2130698 -38.091541 -0.33425530 0.91080156 128.96637 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 261 2.4069494 21.228957 -0.41950760 1.2314179 122.88959 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 265 3.2067206 27.044786 -0.050802691 0.60000000 159.54839 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 271 2.2482807 1.6791450 -0.28356768 0.60000000 142.67367 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 276 1.7864887 -46.181951 -0.61732953 0.85080806 168.18842 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 281 -0.25000000 -161.49084 0.0000000 1.0000000 -70.725075 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 284 17.446375 -100.58100 -0.077768519 0.60000000 94.878182 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 307 2.3199898 -40.856548 -0.75512132 0.61810057 65.251300 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 2 308 2.1797859 34.452154 -0.29549627 0.89794037 151.95199 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 2 0.73745532 0.014512528 -0.31237001 0.93952588 0.94328321 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 143 of 144 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 2 0.68393557 0.0026015880 -0.31509787 0.95335460 0.95320827 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 143 of 144 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.360950-0.3150980.061512 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 0 2.1804915 18.912064 -0.11492833 1.3440580 208.56747 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 6 -0.25000000 -540.15253 0.0000000 1.0000000 -281.57413 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 13 -0.25000000 -471.43799 0.0000000 1.0000000 -267.34027 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 18 -0.25000000 -469.36261 0.0000000 1.0000000 -199.76266 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 26 1.2465075 -95.991156 -0.31378485 0.92625624 267.55252 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 52 -0.25000000 -432.18234 0.0000000 1.0000000 -215.36627 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 60 -0.25000000 -359.51425 0.0000000 1.0000000 -127.14719 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 63 -0.25000000 -448.01559 0.0000000 1.0000000 -141.55251 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 82 -0.25000000 -322.56125 0.0000000 1.0000000 -24.372746 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 84 -0.25000000 -419.95740 0.0000000 1.0000000 -180.88216 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 109 -0.25000000 -390.66507 0.0000000 1.0000000 -88.235596 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 114 -0.25000000 -371.04733 0.0000000 1.0000000 -108.48847 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 131 1.7973078 -176.83305 -0.12876835 0.60000000 302.43854 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 153 2.2242760 64.944443 -0.16978564 1.4061444 219.74121 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 176 0.53594421 56.555197 -0.083761266 1.0632683 264.62864 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 180 0.52591790 33.824087 -0.21566185 1.0378136 241.87143 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 184 0.23096992 99.413386 -0.021519006 0.79363494 229.82249 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 185 1.6528863 22.285340 -0.49316798 0.88347017 247.79075 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 186 1.1663963 22.310963 -0.14614630 0.98338459 312.10926 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 201 0.41972093 54.944571 -0.36776667 1.0522551 197.07237 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 204 0.22400419 69.159137 -0.52746785 1.1893417 207.72600 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 206 0.96951966 128.74295 -0.34754700 0.94124240 190.12641 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 213 1.8274938 79.385944 -0.20303615 0.95344905 291.69718 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 235 0.78899962 -36.023474 -0.0025282069 0.80718660 268.81433 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 257 2.3268649 16.901313 -0.099998033 0.90742289 299.33829 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 259 0.85851782 140.94789 -0.19048388 1.0995870 298.52035 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 260 0.56957231 -3.9362313 -0.13184681 0.91012841 229.95688 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 261 0.70227562 75.532671 -0.35403700 0.93833885 208.91621 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 265 0.85257525 24.538860 -0.11614300 0.81969297 226.76855 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 271 2.0714617 -34.376712 -0.43757356 1.0257109 272.60384 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 276 0.77321245 -28.541210 -0.045259182 0.99310122 190.08451 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 281 0.84841664 -127.57912 -0.12016017 1.1621465 217.05541 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 284 0.10623778 -107.73826 0.12336469 0.86329915 201.61331 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 307 0.76719006 -107.21838 0.049580426 1.2682967 226.16942 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 3 308 1.1970359 44.851447 -0.32913631 0.98591785 217.64915 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 3 0.64531577 0.0073167704 -0.19778872 0.99019702 0.97769136 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 216 of 216 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.243640-0.1977890.027977 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 0 0.42281697 18.420418 -0.28497672 1.0537213 301.16731 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 6 -0.25000000 -552.91058 0.0000000 1.0000000 -274.66977 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 13 -0.25000000 -502.68085 0.0000000 1.0000000 -187.44745 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 18 -0.25000000 -506.86621 0.0000000 1.0000000 -245.24780 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 26 1.3084732 -81.273791 -0.10819420 0.80144107 317.11201 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 52 -0.25000000 -408.56152 0.0000000 1.0000000 -105.77177 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 60 -0.25000000 -343.68265 0.0000000 1.0000000 -96.793922 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 63 -0.25000000 -461.25690 0.0000000 1.0000000 -165.54456 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 82 6.7958112 -179.97786 -0.30600663 0.60000000 251.23654 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 84 -0.25000000 -479.99991 0.0000000 1.0000000 -153.87355 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 109 -0.25000000 -372.63815 0.0000000 1.0000000 -54.861992 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 114 -0.25000000 -387.82184 0.0000000 1.0000000 -89.784683 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 131 1.9543337 -171.74928 -0.21957175 0.70343421 285.61512 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 153 1.1769891 102.45771 -0.074178790 1.0050523 220.15042 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 176 2.4010386 54.075349 0.044758736 0.89798948 341.76556 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 180 0.41578592 41.767972 -0.22265187 0.95760493 287.11963 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 184 0.29030765 93.124658 -0.083293938 0.85449671 303.54129 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 185 2.2313809 57.029612 -0.38497794 0.97875946 224.39822 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 186 0.65315789 43.627025 0.092663002 0.96462482 222.00518 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 201 1.5033536 58.372947 -0.13766020 1.1061655 212.78727 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 204 0.13394436 87.881548 -0.18395626 0.88167045 270.43826 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 206 0.94749838 132.97142 -0.19105229 0.96463555 252.16013 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 213 0.91422436 85.268748 -0.27079358 1.3454844 221.22429 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 235 1.6931799 -28.167245 -0.11730167 0.92768385 278.60305 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 257 1.9796989 27.780783 -0.23645007 0.94615376 273.26046 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 259 0.10495177 170.47423 -0.27660539 1.0217080 275.73571 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 260 7.2746236 25.747578 -0.25691449 0.92478029 220.71201 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 261 1.1726882 75.118610 -0.21532332 0.96954082 254.66464 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 265 0.44868420 30.438910 0.25291935 0.93146588 289.17972 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 271 0.33878387 -8.6304497 -0.24865134 0.90553929 249.85435 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 276 1.0580165 -41.284372 0.023197582 0.83488309 278.23212 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 281 1.5619186 -86.799598 -0.14233539 0.73593190 304.16570 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 284 1.1023563 -134.56475 -0.12149287 0.89490143 258.78737 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 307 0.28516905 -83.519054 -0.28661004 0.95873100 291.36748 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 4 308 1.0512851 7.0968182 -0.26720262 1.1253932 320.80554 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 4 0.73694503 0.00025355775 -0.14183609 0.95542457 0.97590050 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 224 of 225 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 4 0.67777915 -0.0020462042 -0.14278729 0.95637415 0.97855801 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 224 of 225 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.188639-0.1427870.024745 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 0 0.39614485 85.013755 0.20886937 1.0725348 348.24096 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 6 -0.25000000 -545.84460 0.0000000 1.0000000 -104.82214 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 13 1.4920551 -344.64507 -0.21431203 0.82870231 430.98652 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 18 -0.25000000 -421.02774 0.0000000 1.0000000 -3.3603721 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 26 1.3728310 -75.423401 -0.16199377 1.0423696 352.11534 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 52 -0.25000000 -368.91879 0.0000000 1.0000000 -19.533264 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 60 0.25989241 -288.40534 -0.087702930 0.85678791 438.42747 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 63 0.40896622 -339.22410 -0.11149297 0.74235698 382.10519 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 82 0.56349756 -196.63607 -0.28777919 0.82050422 488.85520 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 84 -0.25000000 -342.49667 0.0000000 1.0000000 -11.158453 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 109 0.74830295 -209.58662 -0.28389910 0.65591192 362.20139 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 114 1.0451455 -184.16468 -0.064332762 0.85569224 304.91723 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 131 1.0717285 -110.55862 -0.12925992 0.98631240 381.15211 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 153 0.90093149 127.83638 -0.15912070 0.98250569 433.54467 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 176 2.6413285 74.797253 -0.089662053 0.93103533 418.64478 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 180 3.3191756 81.794193 -0.068986117 0.90211081 384.68372 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 184 0.59643747 68.163867 -0.14392265 1.2981450 353.38044 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 185 1.4116000 38.656307 -0.26684625 1.2462099 367.17863 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 186 1.0323340 49.859051 -0.052448885 0.96341163 394.00473 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 201 1.0727380 43.867622 -0.18915178 1.2513243 403.62738 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 204 1.9529200 87.250129 -0.26070303 1.1933122 357.44096 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 206 0.065364189 -3.0366562 1.0000000 0.60000000 1504.9964 LOCATESKYLINES_2: sdR-r2-00034588.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 213 0.46758519 123.76226 -0.0055642559 0.93569798 408.07100 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 235 3.3901351 28.931504 -0.021793129 0.80100681 408.10624 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 257 1.1135553 99.022133 -0.083528882 0.84127368 388.49009 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 259 1.0884336 158.56390 -0.44110871 1.2125540 369.24734 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 260 1.0348639 41.571392 -0.33345758 0.89789966 388.04844 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 261 2.0504632 76.207466 -0.22998825 1.0656874 379.40900 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 265 0.66847652 43.572213 -0.27882287 1.2773764 320.73346 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 271 3.1393594 51.402345 -0.54470720 0.97088746 339.68076 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 276 1.8929703 -20.131839 -0.20248387 1.0941241 386.48834 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 281 1.2239218 -29.143049 -0.26581458 0.93741617 306.24971 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 284 1.0314348 -34.126898 -0.21642333 0.94638307 320.55251 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 307 0.74485114 -38.058423 -0.16963138 0.97419953 330.63294 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 5 308 0.17462515 169.06791 -0.14027261 0.95623218 336.15759 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 5 1.0979373 0.0077471451 -0.16919230 0.97705271 0.97912074 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 266 of 267 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 5 1.0404418 0.0068395245 -0.16153979 0.98769115 0.97751510 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 266 of 267 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.207391-0.1615400.019449 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 0 0.72037071 31.428809 -0.29933326 0.98988254 713.12974 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 6 2.1028872 -513.07351 -0.21037906 0.87083212 683.99854 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 13 0.60923460 -371.28539 -0.28047920 0.91146023 657.41069 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 18 4.1104693 -521.36421 -0.19741544 1.0699261 760.85127 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 26 3.2074280 -121.90596 -0.23970605 0.86511662 840.08598 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 52 1.1280267 -403.62752 -0.25129702 0.89254306 742.85333 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 60 2.8026467 -297.48154 -0.19249560 0.95921094 723.32033 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 63 1.2405449 -434.92155 -0.31782067 1.1422314 759.28549 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 82 0.88570609 -263.65142 -0.32226853 1.0481793 755.01273 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 84 233.40243 -146.59984 -0.38557521 0.64095678 548.23808 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 109 1.1039840 -254.74012 -0.31675688 0.91990305 751.31112 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 114 0.92758101 -228.85599 -0.29283964 1.0510775 763.81555 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 131 0.30129905 -118.61454 -0.39171571 0.93878686 809.98736 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 153 2.7040460 108.76625 -0.25393586 1.1021539 695.99510 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 176 1.0522859 71.061883 -0.32943444 0.99121750 729.77949 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 180 1.8655353 45.952302 -0.41279478 1.0123006 739.39380 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 184 0.91913207 61.015006 -0.36259836 0.97103946 682.52437 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 185 2.7173405 24.316020 -0.23710183 0.95315216 766.35159 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 186 2.2713941 14.794759 -0.30705136 0.98099379 808.58611 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 201 0.53637208 56.098277 -0.29359180 1.0398285 714.46087 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 204 0.60686072 119.64651 -0.22634661 0.81740894 804.70406 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 206 1.9137141 111.10327 -0.26474489 0.92953605 705.35836 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 213 0.76548318 141.31657 -0.46295565 0.88461856 775.82879 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 235 1.5353698 1.6968780 -0.28765488 0.96635085 736.57561 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 257 2.0598022 79.349798 -0.32885352 1.0255154 769.18072 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 259 0.63018395 144.00658 -0.25429264 0.96224634 778.67938 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 260 0.66649844 57.291326 -0.30736609 0.89734754 734.14464 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 261 1.1478624 77.624086 -0.21158882 1.0015348 690.01743 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 265 2.1650488 44.979352 -0.25179302 0.96134872 714.80365 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 271 1.4095943 66.553127 -0.20403932 0.94106230 698.22550 LOCATESKYLINES_2: sdR-r2-00034588.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 281 1.4821986 -51.075073 -0.26010479 0.99582824 739.66981 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 284 1.4248483 -45.089151 -0.26387366 0.97438570 626.60803 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 307 0.27396753 -23.338839 -0.29089978 0.87599763 715.79582 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 6 308 4.5746349 117.30867 -0.27576325 1.0795023 693.37480 LOCATESKYLINES_2: sdR-r2-00034588.fit: trimmed 1high points: 0.048931908 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 6 5.0151731 0.0014669274 -0.28916256 0.96614325 0.99344964 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 300 of 305 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 6 1.2206014 4.6900139e-05 -0.29035719 0.97268498 0.99265610 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 300 of 305 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.336209-0.2903570.010666 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 0 0.57115237 35.786663 -0.31198167 0.78409269 864.01618 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 6 1.3476986 -566.22994 -0.25442200 1.0363452 848.36627 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 13 1.2234054 -472.59921 -0.28770898 0.98784071 871.05471 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 18 0.30640120 -518.39688 -0.19623085 0.95585390 967.45021 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 26 1.6754937 -145.08783 -0.25261284 0.97656952 927.00248 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 52 2.2727527 -422.02384 -0.25317335 1.0427822 882.23453 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 60 1.8143419 -311.87283 -0.14682355 0.95923789 902.67823 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 63 2.0582948 -383.10760 -0.41839806 0.83246407 882.00238 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 82 0.90824979 -243.93897 -0.24191423 0.89680811 878.14198 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 84 1.2738925 -348.87927 -0.30045631 0.92352062 971.66894 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 109 3.4073534 -197.85163 -0.26151979 0.97490162 839.75733 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 114 1.1007020 -239.23471 -0.14888945 1.0148600 868.62338 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 131 2.2846109 -171.14543 -0.26482702 0.95876997 898.70210 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 153 3.2542109 48.835169 -0.34140040 1.1501986 905.12069 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 176 0.33627947 63.526598 -0.23910931 0.90848703 903.18436 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 180 3.8016558 39.518949 -0.28704241 0.96136608 903.17723 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 184 2.0656565 65.720930 -0.28423084 0.95449132 892.50048 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 185 1.6327442 34.595998 -0.29457704 0.95341634 803.00027 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 186 1.7589811 19.753849 -0.26640815 0.97334521 945.01053 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 201 0.66599499 98.971091 -0.32453260 0.87883701 920.17422 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 204 0.34604252 169.92722 -0.28965383 0.84694160 872.26840 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 206 1.3374405 168.05108 -0.35096036 0.96934475 855.82046 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 213 1.1137733 135.85295 -0.25290320 0.94235321 830.38825 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 235 1.5766134 1.8088199 -0.13455051 1.0233317 845.76286 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 257 0.41897483 61.398534 -0.30161830 0.97111572 914.47668 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 259 0.33566423 158.60118 -0.24173285 0.95637438 892.27621 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 260 0.26255061 0.87921436 -0.22010860 0.93485661 887.32937 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 261 1.1123822 107.44284 -0.29378015 0.97208141 892.32849 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 265 0.68163306 58.547177 -0.31481101 0.89483187 832.23218 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 271 2.1023708 30.621613 -0.20299952 0.94166020 913.22703 LOCATESKYLINES_2: sdR-r2-00034588.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 281 1.8254494 -39.707722 -0.16689250 0.93563192 883.26190 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 284 2.0331986 -67.148307 -0.27960038 0.97646797 826.75464 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 307 4.7790610 -92.633785 -0.34663891 0.98242966 892.31079 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 7 308 3.5961119 82.918494 -0.32519726 0.85782938 931.77090 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 7 1.3190907 0.0011186978 -0.26864704 0.94920352 0.99516709 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 7 1.2044176 0.00045659438 -0.26437819 0.95069773 0.99593700 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.310230-0.2643780.008982 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 0 0.58477437 -1.4957029 -0.22038793 0.87803870 1235.7354 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 6 2.7353646 -535.43524 -0.28908323 0.90019582 1180.6302 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 13 1.1948574 -399.32174 -0.13156392 0.92012554 1256.0043 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 18 1.9998199 -433.67941 -0.14973915 0.90429817 1278.9926 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 26 2.7517302 -235.18169 -0.24323040 0.85809174 1337.1004 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 52 5.3015866 -369.44237 -0.17923247 0.84320652 1262.6021 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 60 1.7155373 -335.76105 -0.18503563 0.92305789 1294.0741 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 63 0.14813876 -407.11162 -0.11400717 1.0021305 1216.4251 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 82 1.2650347 -322.91953 -0.20374273 0.95452803 1176.2190 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 84 2.2837428 -447.44601 -0.24197358 0.98162978 1274.6119 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 109 1.5416535 -300.95721 -0.21049438 0.89778670 1242.0673 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 114 4.2712592 -296.12298 -0.10836440 0.91961565 1320.4694 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 131 0.90958740 -225.67729 -0.26975835 0.88574392 1254.5441 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 153 2.3294672 -33.132267 -0.20285727 0.96838596 1199.1218 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 176 0.51290608 12.497412 -0.17707428 0.92158968 1209.3152 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 180 1.2991222 -4.6933711 -0.21690953 0.91885779 1241.2456 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 184 0.99054058 15.626572 -0.21523587 0.90689622 1297.7134 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 185 6.1398288 16.285952 -0.23001024 0.85721294 1255.5571 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 186 2.7260760 -11.245263 -0.24055979 0.97296641 1215.5159 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 201 2.2957249 13.196177 -0.20863771 0.96136508 1151.0155 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 204 0.97176365 26.632338 -0.19685441 0.90427097 1212.4370 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 206 1.1554592 55.838898 -0.16891522 0.88932061 1257.6575 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 213 3.3442675 -5.3445931 -0.20789290 0.96085716 1188.6864 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 235 3.5606300 -87.465621 -0.16097241 0.93918858 1248.1023 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 257 2.5764493 5.5298475 -0.20489995 0.92167483 1273.8126 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 259 0.68854145 46.180425 -0.20770734 0.94105609 1201.4711 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 260 0.75963019 -46.334025 -0.18035998 0.93458423 1138.2977 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 261 0.86691247 43.626441 -0.22714892 0.86848839 1215.1059 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 265 0.37426267 -24.360803 -0.28147108 0.89296808 1211.8062 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 271 1.7730037 -49.993568 -0.19652831 0.86875977 1246.9060 LOCATESKYLINES_2: sdR-r2-00034588.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 281 3.6630460 -130.61176 -0.19578772 0.94724011 1260.0599 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 284 0.57405910 -150.30032 -0.23824664 0.94722272 1188.7218 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 307 1.4953649 -110.66966 -0.23476408 0.87317615 1243.0838 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 8 308 1.8371787 -2.9825878 -0.23520120 0.93876524 1256.4251 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 8 1.3829453 0.00052238061 -0.20751717 0.91485901 0.99843835 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 8 1.2470022 0.00065360984 -0.20863851 0.92093075 0.99590533 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.254490-0.2086390.006648 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 0 2.0806448 -12.428837 -0.22816470 0.88819301 1343.5680 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 6 1.4926594 -545.08781 -0.17690720 0.93416690 1271.9638 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 13 0.84753307 -351.40807 -0.23827798 0.99310487 1212.1748 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 18 2.8480388 -422.06852 -0.20927008 0.92919382 1264.5678 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 26 2.9445028 -235.58465 -0.16529537 0.92957762 1456.2407 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 52 3.6108418 -417.20869 -0.12974187 0.98169665 1349.3880 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 60 0.68190197 -365.16789 -0.14096104 1.0372110 1246.0262 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 63 2.2596910 -376.80119 -0.14191859 0.98643261 1239.6938 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 82 1.8222350 -340.00386 -0.18493677 1.0055780 1213.6599 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 84 2.1247181 -458.98128 -0.18951219 1.0336658 1254.9933 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 109 0.77805411 -303.35496 -0.21153518 0.96484935 1246.5120 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 114 1.0044158 -249.13560 -0.17495184 0.88027160 1392.4267 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 131 0.79028929 -191.94198 -0.24565183 0.91408127 1390.6319 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 153 0.39130651 1.4714520 -0.25228933 0.94173545 1353.7292 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 176 1.9623117 38.305501 -0.19139248 0.91478229 1291.1495 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 180 1.7888343 16.671249 -0.20645977 0.93391160 1391.7231 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 184 1.4113415 49.762939 -0.17625626 0.90030720 1250.6475 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 185 1.0355131 14.794082 -0.17878837 0.94599942 1314.1788 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 186 1.2845587 -2.9026556 -0.19796000 0.92169984 1400.0357 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 201 2.8019176 20.417458 -0.21294422 0.93797491 1271.1092 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 204 3.4195223 -2.0721465 -0.19981045 0.99343937 1245.3118 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 206 1.8957203 53.355061 -0.16451918 1.0078902 1240.5983 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 213 2.4494025 30.083649 -0.15503372 0.91486296 1349.0627 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 235 1.5614865 -41.167121 -0.14483308 0.86691837 1241.3151 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 257 1.8497218 28.955469 -0.18176397 0.87666164 1380.8448 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 259 1.0770273 70.633164 -0.21530475 0.89778336 1391.0159 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 260 1.7177503 -51.173552 -0.20902227 0.96778653 1306.9258 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 261 1.2036750 12.344642 -0.17458294 0.91047581 1348.9632 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 265 2.5009396 -71.361271 -0.15801417 1.0061075 1350.7289 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 271 1.7272263 -34.133719 -0.22441939 0.90617811 1283.2682 LOCATESKYLINES_2: sdR-r2-00034588.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 281 0.73547559 -104.95089 -0.27666056 0.87482790 1331.5276 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 284 0.63563575 -121.28049 -0.24696007 0.88938951 1332.5363 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 307 2.1626963 -164.82129 -0.21249255 0.98921518 1333.0856 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 9 308 0.67049278 -5.3075281 -0.22635766 0.91801657 1378.4111 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 9 1.2908526 0.00020218614 -0.19749500 0.93524424 0.99789645 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.243347-0.1974950.006312 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 0 1.5315977 -85.767380 -0.16593400 0.96289461 1084.6408 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 6 0.72255958 -604.27130 -0.10166913 1.0153578 1153.0772 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 13 2.1677611 -353.17072 -0.12095727 0.99473947 1184.5232 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 18 0.89312630 -420.40199 -0.13916590 0.94076981 1205.9876 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 26 4.1496420 -307.94305 -0.18434529 0.91156795 1351.0698 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 52 1.7545383 -386.37149 -0.11899102 0.99649090 1160.2189 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 60 2.3209850 -366.79002 -0.16779722 0.97956429 1275.2998 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 63 2.4073593 -340.44432 -0.16519459 0.91290007 1182.0485 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 82 1.7463013 -407.94595 -0.13897165 0.91007263 1288.5432 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 84 0.97597297 -490.09899 -0.28471049 0.90403737 1220.4771 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 109 1.1142557 -343.36322 -0.15171912 0.91218322 1262.5504 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 114 2.1965833 -325.42085 -0.24012929 0.86531410 1228.9597 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 131 1.9260511 -338.45498 -0.19958226 0.94915656 1346.6819 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 153 4.0332824 -106.48375 -0.15272905 0.92141320 1272.1152 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 176 1.1790098 -27.096281 -0.15921931 0.88258258 1257.6580 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 180 1.4025692 -30.035739 -0.15354688 0.92183852 1270.8128 LOCATESKYLINES_2: sdR-r2-00034588.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 185 5.5646202 -33.457712 -0.19548221 0.93024145 1239.0041 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 186 1.2335009 -69.024701 -0.19380461 0.95377060 1291.3535 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 201 1.8001760 -10.495458 -0.16807095 0.94818957 1253.5581 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 204 0.83349847 -43.972984 -0.16131542 0.84391395 1314.0296 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 206 2.2441922 -22.267160 -0.14218356 0.96787795 1231.6625 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 213 2.8438471 -93.612480 -0.10568467 0.93774142 1219.6342 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 235 0.65349879 -186.85441 -0.22674102 0.87622819 1332.7798 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 257 0.34410396 -55.365699 -0.15697490 0.93764756 1270.5002 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 259 2.4310715 0.95061262 -0.22301834 0.88989875 1310.5586 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 260 1.9281836 -116.33520 -0.16525966 0.90420125 1280.0655 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 261 3.2217510 -91.682678 -0.20773688 0.94804007 1345.0462 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 265 1.1371177 -121.19194 -0.26844827 0.93540332 1345.9015 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 271 0.23139306 -131.34699 -0.15629310 0.95246316 1242.1043 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 276 1.9292133 -121.97094 -0.19594957 0.96442324 1148.7931 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 281 1.8567385 -153.89610 -0.22569761 0.96957104 1126.1899 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 284 0.68482617 -207.66829 -0.21428135 0.92045166 1259.2987 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 307 1.2041119 -210.95953 -0.18358276 0.98673748 1127.6984 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 10 308 0.76777782 -103.88874 -0.20788043 0.88878138 1324.9312 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 10 1.2826905 0.00041577294 -0.18035767 0.92916910 0.99830093 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.226209-0.1803580.006610 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 0 4.7849309 -91.384043 -0.24829043 0.92906263 1369.1046 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 6 0.19087580 -564.50848 -0.32929242 0.90245583 1310.1943 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 13 3.9119868 -394.89330 -0.27164856 1.0663107 1369.2407 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 18 1.3627814 -429.96756 -0.26298177 0.94723112 1407.2989 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 26 1.4212540 -309.92957 -0.14716418 0.94797989 1462.6048 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 52 3.3328462 -399.81117 -0.17166413 0.98389608 1408.6667 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 60 1.4915771 -331.89739 -0.16521328 0.92228598 1365.9655 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 63 2.2822022 -371.67285 -0.17212415 0.90052463 1519.5545 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 82 3.3207379 -414.26603 -0.19626786 0.90852258 1458.0820 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 84 1.0558213 -422.80777 -0.18553199 0.86915361 1308.5658 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 109 0.59990041 -273.93079 -0.17352521 0.88231039 1432.3875 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 114 0.68351014 -330.83581 -0.20659561 0.92188818 1464.4085 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 131 1.2223920 -247.51990 -0.18678865 0.92443901 1335.2298 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 153 1.3406975 -111.61220 -0.17257157 0.88610749 1442.1988 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 176 2.9703559 -36.655096 -0.19684947 0.91252187 1426.1503 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 180 0.73524627 -15.260872 -0.13370042 0.84921621 1473.5344 LOCATESKYLINES_2: sdR-r2-00034588.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 185 1.1158555 -39.337603 -0.20852150 0.91982518 1427.3352 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 186 5.9999221 -16.707694 -0.15341798 0.92098722 1336.4547 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 201 1.5984057 -50.945506 -0.18757384 0.96207474 1266.9352 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 204 1.4133996 -31.758729 -0.25226004 0.87696105 1378.3459 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 206 1.5273647 -58.678379 -0.24086493 0.95634405 1386.1002 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 213 4.4930069 -60.600302 -0.17659688 0.90150258 1362.0257 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 235 1.4991705 -155.21298 -0.23938552 0.84381421 1445.9747 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 257 1.6827184 -33.880856 -0.17889161 0.87445828 1376.3701 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 259 3.2335538 -38.492344 -0.17657804 0.93907684 1452.8257 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 260 2.0714241 -110.85723 -0.20669147 0.98052275 1355.6438 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 261 0.97678743 -67.775507 -0.15384605 0.90525223 1423.2337 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 265 5.2228253 -98.166033 -0.17907884 0.86313381 1417.8701 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 271 1.0969176 -117.07484 -0.15290786 0.92656590 1413.9581 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 276 1.2666725 -134.48385 -0.19303233 0.96103513 1361.5277 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 281 0.64215450 -232.55330 -0.27309179 0.97523495 1388.7492 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 284 4.4821156 -166.16972 -0.22506362 0.89107890 1413.4997 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 307 0.98655765 -230.29279 -0.22855297 0.97837760 1420.3260 LOCATESKYLINES_2: sdR-r2-00034588.fit: l,f,chi^2/dof,c: 11 308 0.52953324 -90.749751 -0.15677092 0.86778164 1388.9317 LOCATESKYLINES_2: sdR-r2-00034588.fit: comb1 l,chi^2/dof,fit: 11 1.6008964 0.00036626129 -0.19637960 0.91528770 0.99776361 LOCATESKYLINES_2: sdR-r2-00034588.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034588.fit: comb2 l,chi^2/dof,fit: 11 1.4623318 0.00048251301 -0.19676937 0.91845879 0.99458124 LOCATESKYLINES_2: sdR-r2-00034588.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034588.fit: offset, refoff, sigma: -0.242621-0.1967690.006042 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 FITMEANX: sdR-r2-00034588.fit: In skyline number 0 std-dev is 0.034245484 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 1 std-dev is 0.068742975 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 2 std-dev is 0.15253035 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 3 std-dev is 0.087846179 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 4 std-dev is 0.14438012 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 5 std-dev is 0.049208144 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 6 std-dev is 0.058204159 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 7 std-dev is 0.072944127 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 8 std-dev is 0.089589555 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 9 std-dev is 0.045220191 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 10 std-dev is 0.076978168 pix FITMEANX: sdR-r2-00034588.fit: In skyline number 11 std-dev is 0.045020099 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 6300.3040 coadded std-dev is 0.00409708 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 6363.7760 coadded std-dev is 0.00936743 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 6553.6100 coadded std-dev is 0.0615123 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 6923.2100 coadded std-dev is 0.0279770 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 6949.0300 coadded std-dev is 0.0247449 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 7571.7500 coadded std-dev is 0.0194487 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 7794.1200 coadded std-dev is 0.0106661 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 7821.5100 coadded std-dev is 0.00898210 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 8399.1600 coadded std-dev is 0.00664765 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 8430.1700 coadded std-dev is 0.00631170 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 8885.8300 coadded std-dev is 0.00660998 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: In sky feature at 8919.6100 coadded std-dev is 0.00604150 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034588.fit: Median arc shift = -0.25993879 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: Dispersion in arc shift = 0.023366224 pix LOCATESKYLINES_2: sdR-r2-00034588.fit: Maximum sky-line shift is 0.29484822 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Number of sky fibers = 22 ROW NITER SIG(med) CHI^2 .0000 3 0.86 0.86 .0001 10 0.86 0.78 .0002 20 0.86 0.78 .0003 10 0.86 0.92 .0004 14 0.86 1.63 .0005 20 0.86 0.80 .0006 1 0.86 0.76 .0007 19 0.86 0.77 .0008 7 0.86 0.93 .0009 7 0.86 1.14 .0010 11 0.86 0.89 .0011 20 0.86 0.56 .0012 20 0.86 0.86 .0013 1 0.86 0.70 .0014 11 0.86 1.91 .0015 2 0.86 1.10 .0016 20 0.86 0.86 .0017 6 0.86 1.11 .0018 1 0.86 0.68 .0019 10 0.86 0.74 .0020 20 0.82 0.78 .0021 10 0.82 0.81 .0022 20 0.82 1.31 .0023 20 0.82 1.37 .0024 9 0.82 0.83 .0025 9 0.82 0.99 .0026 2 0.82 0.80 .0027 20 0.82 1.42 .0028 11 0.82 0.89 .0029 16 0.82 0.80 .0030 9 0.82 0.92 .0031 15 0.82 0.62 .0032 20 0.82 1.56 .0033 9 0.82 1.15 .0034 20 0.82 0.92 .0035 15 0.82 1.26 .0036 5 0.82 1.00 .0037 15 0.82 0.92 .0038 12 0.82 0.90 .0039 16 0.82 0.83 .0040 20 0.85 1.23 .0041 12 0.85 1.07 .0042 13 0.85 0.82 .0043 10 0.85 0.88 .0044 7 0.85 0.73 .0045 20 0.85 0.66 .0046 20 0.85 1.13 .0047 18 0.85 0.74 .0048 5 0.85 0.69 .0049 9 0.85 1.02 .0050 9 0.85 1.00 .0051 20 0.85 0.73 .0052 1 0.85 0.76 .0053 13 0.85 0.69 .0054 20 0.85 0.74 .0055 13 0.85 1.68 .0056 12 0.85 0.90 .0057 7 0.85 0.94 .0058 9 0.85 1.04 .0059 12 0.85 0.99 .0060 3 0.84 0.62 .0061 12 0.84 0.97 .0062 14 0.84 0.87 .0063 1 0.84 0.69 .0064 20 0.84 1.07 .0065 8 0.84 0.84 .0066 20 0.84 0.52 .0067 13 0.84 1.59 .0068 11 0.84 0.94 .0069 20 0.84 1.31 .0070 20 0.84 0.78 .0071 5 0.84 0.76 .0072 12 0.84 1.37 .0073 13 0.84 0.77 .0074 10 0.84 0.73 .0075 18 0.84 0.79 .0076 20 0.84 1.35 .0077 20 0.84 0.78 .0078 20 0.84 0.72 .0079 8 0.84 1.02 .0080 20 0.84 1.08 .0081 11 0.84 1.16 .0082 1 0.84 0.62 .0083 9 0.84 0.98 .0084 3 0.84 0.56 .0085 5 0.84 0.69 .0086 20 0.84 1.44 .0087 17 0.84 0.70 .0088 16 0.84 0.81 .0089 9 0.84 0.79 .0090 16 0.84 0.71 .0091 10 0.84 0.77 .0092 5 0.84 1.03 .0093 8 0.84 1.08 .0094 10 0.84 1.00 .0095 6 0.84 1.14 .0096 19 0.84 0.60 .0097 20 0.84 0.80 .0098 13 0.84 0.93 .0099 10 0.84 0.92 .0100 10 0.84 0.99 .0101 20 0.84 0.70 .0102 20 0.84 2.35 .0103 12 0.84 0.85 .0104 13 0.84 1.01 .0105 20 0.84 0.90 .0106 7 0.84 0.79 .0107 20 0.84 0.67 .0108 8 0.84 0.96 .0109 4 0.84 0.73 .0110 5 0.84 0.69 .0111 14 0.84 0.73 .0112 13 0.84 1.82 .0113 9 0.84 1.01 .0114 1 0.84 0.78 .0115 6 0.84 0.94 .0116 15 0.84 0.85 .0117 20 0.84 0.96 .0118 9 0.84 0.90 .0119 14 0.84 0.91 .0120 11 0.79 0.93 .0121 13 0.79 0.88 .0122 20 0.79 0.55 .0123 10 0.79 1.14 .0124 8 0.79 1.01 .0125 10 0.79 0.89 .0126 9 0.79 0.85 .0127 10 0.79 0.81 .0128 20 0.79 0.86 .0129 8 0.79 0.93 .0130 20 0.79 0.92 .0131 2 0.79 0.81 .0132 11 0.79 1.53 .0133 5 0.79 1.26 .0134 6 0.79 1.04 .0135 14 0.79 0.83 .0136 5 0.79 0.59 .0137 15 0.79 0.79 .0138 6 0.79 1.00 .0139 20 0.79 0.67 .0140 9 0.80 0.89 .0141 19 0.80 0.72 .0142 20 0.80 1.23 .0143 8 0.80 1.01 .0144 10 0.80 1.13 .0145 5 0.80 0.87 .0146 7 0.80 0.84 .0147 13 0.80 0.81 .0148 12 0.80 1.04 .0149 20 0.80 1.59 .0150 10 0.80 1.71 .0151 7 0.80 1.30 .0152 8 0.80 0.92 .0153 1 0.80 0.91 .0154 20 0.80 1.77 .0155 20 0.80 0.94 .0156 9 0.80 1.06 .0157 20 0.80 0.98 .0158 9 0.80 0.92 .0159 14 0.80 1.17 .0160 9 0.78 1.02 .0161 12 0.78 0.86 .0162 9 0.78 1.12 .0163 8 0.78 0.88 .0164 6 0.78 1.02 .0165 1 0.78 0.81 .0166 4 0.78 0.66 .0167 11 0.78 0.97 .0168 4 0.78 0.96 .0169 6 0.78 1.00 .0170 18 0.78 0.67 .0171 9 0.78 1.00 .0172 2 0.78 0.86 .0173 5 0.78 0.86 .0174 2 0.78 0.68 .0175 5 0.78 0.76 .0176 1 0.78 1.21 .0177 7 0.78 0.74 .0178 2 0.78 0.82 .0179 10 0.78 0.96 .0180 2 0.80 1.54 .0181 7 0.80 0.71 .0182 2 0.80 0.83 .0183 14 0.80 0.80 .0184 1 0.80 0.84 .0185 1 0.80 1.46 .0186 3 0.80 1.21 .0187 2 0.80 0.81 .0188 10 0.80 1.17 .0189 5 0.80 1.17 .0190 2 0.80 0.98 .0191 2 0.80 0.90 .0192 1 0.80 0.96 .0193 2 0.80 0.77 .0194 2 0.80 0.83 .0195 2 0.80 0.85 .0196 2 0.80 0.80 .0197 16 0.80 0.53 .0198 1 0.80 0.74 .0199 2 0.80 0.70 .0200 11 0.78 0.91 .0201 3 0.78 0.82 .0202 20 0.78 1.16 .0203 13 0.78 0.87 .0204 3 0.78 0.83 .0205 20 0.78 1.10 .0206 2 0.78 0.75 .0207 20 0.78 1.10 .0208 10 0.78 1.27 .0209 20 0.78 0.94 .0210 11 0.78 0.95 .0211 11 0.78 0.99 .0212 12 0.78 0.84 .0213 3 0.78 0.82 .0214 5 0.78 0.74 .0215 20 0.78 0.78 .0216 20 0.78 0.66 .0217 20 0.78 1.15 .0218 5 0.78 0.64 .0219 10 0.78 0.83 .0220 8 0.78 1.16 .0221 5 0.78 1.01 .0222 14 0.78 0.84 .0223 19 0.78 0.48 .0224 12 0.78 0.67 .0225 5 0.78 0.79 .0226 20 0.78 0.58 .0227 7 0.78 0.50 .0228 20 0.78 1.06 .0229 4 0.78 0.81 .0230 5 0.78 0.66 .0231 6 0.78 1.12 .0232 1 0.78 0.69 .0233 4 0.78 0.83 .0234 10 0.78 0.87 .0235 1 0.78 0.87 .0236 13 0.78 0.74 .0237 9 0.78 0.93 .0238 20 0.78 1.25 .0239 1 0.78 0.72 .0240 20 0.80 0.71 .0241 0 0.80 0.00 .0242 20 0.80 1.10 .0243 6 0.80 1.11 .0244 15 0.80 0.91 .0245 15 0.80 0.77 .0246 10 0.80 1.04 .0247 7 0.80 0.92 .0248 19 0.80 0.48 .0249 10 0.80 0.83 .0250 5 0.80 0.98 .0251 19 0.80 0.70 .0252 9 0.80 0.84 .0253 12 0.80 0.86 .0254 5 0.80 0.66 .0255 7 0.80 1.11 .0256 9 0.80 0.76 .0257 3 0.80 0.93 .0258 9 0.80 0.94 .0259 4 0.80 1.05 .0260 1 0.81 0.88 .0261 2 0.81 0.79 .0262 20 0.81 0.51 .0263 0 0.81 0.00 .0264 5 0.81 1.18 .0265 2 0.81 1.14 .0266 15 0.81 0.75 .0267 6 0.81 0.67 .0268 8 0.81 0.93 .0269 10 0.81 1.51 .0270 10 0.81 1.16 .0271 1 0.81 1.05 .0272 5 0.81 0.93 .0273 6 0.81 1.19 .0274 10 0.81 0.83 .0275 20 0.81 0.78 .0276 1 0.81 0.45 .0277 10 0.81 1.51 .0278 17 0.81 0.86 .0279 9 0.81 1.06 .0280 10 0.81 0.92 .0281 2 0.81 0.84 .0282 16 0.81 0.77 .0283 9 0.81 1.03 .0284 3 0.81 1.00 .0285 4 0.81 0.92 .0286 10 0.81 0.80 .0287 10 0.81 0.82 .0288 9 0.81 0.85 .0289 12 0.81 0.92 .0290 12 0.81 0.80 .0291 20 0.81 0.68 .0292 0 0.81 0.00 .0293 16 0.81 0.78 .0294 10 0.81 0.80 .0295 5 0.81 0.76 .0296 13 0.81 0.79 .0297 13 0.81 0.93 .0298 20 0.81 0.94 .0299 12 0.81 0.86 .0300 7 0.85 0.96 .0301 6 0.85 0.96 .0302 7 0.85 0.93 .0303 20 0.85 0.91 .0304 4 0.85 1.04 .0305 11 0.85 0.78 .0306 8 0.85 0.81 .0307 2 0.85 0.82 .0308 1 0.85 0.80 .0309 13 0.85 0.73 .0310 11 0.85 0.72 .0311 0 0.85 0.00 .0312 20 0.85 1.25 .0313 19 0.85 0.44 .0314 11 0.85 0.82 .0315 18 0.85 0.82 .0316 20 0.85 0.75 .0317 10 0.85 0.93 .0318 9 0.85 0.74 .0319 4 0.85 0.48 EXTRACT_IMAGE: sdR-r2-00034588.fit: masked 4093 pixels SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 0 median sigma(arc)= 0.93745518 sigma(sky)= 1.2036813 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 0 sigma^2(add)= 0.64749287 +/- 0.57184760 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 1 median sigma(arc)= 0.92910191 sigma(sky)= 0.77440049 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 1 sigma^2(add)= 1.0219920 +/- 1516996.4 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 2 median sigma(arc)= 0.90486055 sigma(sky)= -8607.9286 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 2 sigma^2(add)= 74145311. +/- 3.3177670e+08 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 3 median sigma(arc)= 0.86253661 sigma(sky)= 1.5367833 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 3 sigma^2(add)= 1.6177340 +/- 0.95635184 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 4 median sigma(arc)= 0.85989258 sigma(sky)= 1.3525157 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 4 sigma^2(add)= 0.99242925 +/- 0.59549107 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 5 median sigma(arc)= 0.81288992 sigma(sky)= -2.2577736 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 5 sigma^2(add)= 4.4367531 +/- 331359.14 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 6 median sigma(arc)= 0.80550155 sigma(sky)= 0.83411516 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 6 sigma^2(add)= 0.046947629 +/- 0.45858040 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 7 median sigma(arc)= 0.80498901 sigma(sky)= 0.97339152 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 7 sigma^2(add)= 0.31606849 +/- 0.36310390 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 8 median sigma(arc)= 0.81706226 sigma(sky)= 0.89715839 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 8 sigma^2(add)= 0.13736847 +/- 0.24616930 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 9 median sigma(arc)= 0.81905220 sigma(sky)= 1.0123818 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 9 sigma^2(add)= 0.35408648 +/- 0.26479113 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 10 median sigma(arc)= 0.86615672 sigma(sky)= 0.92884287 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 10 sigma^2(add)= 0.098390532 +/- 0.30696197 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 11 median sigma(arc)= 0.87105867 sigma(sky)= 0.94819353 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Line # 11 sigma^2(add)= 0.14061840 +/- 0.30453777 SKYLINE_DISPERSION: sdR-r2-00034588.fit: Flexure sigma^2(add) = 0.056470387 +/- 0.15072339 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034588.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034588.fit: Heliocentric correction = 23.162663 km/s FITVACSET: sdR-r2-00034588.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034588.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034588.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034588.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-r2-00034588.fit: Number of sky fibers = 22 SKYSUBTRACT: sdR-r2-00034588.fit: Airmass range = 1.24811 1.29529 SKYSUBTRACT: sdR-r2-00034588.fit: Discarding 0.00381747 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 of 2046 Bin 50 of 2046 Bin 51 of 2046 Bin 52 of 2046 Bin 53 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Median sky-residual chi2 = 5.22369 SKYSUBTRACT: sdR-r2-00034588.fit: Max sky-residual chi2 = 16.8206 EXTRACT_OBJECT: sdR-r2-00034588.fit: Calling skysubtract again; masked skyfibers 26 131 259 281 284 SKYSUBTRACT: sdR-r2-00034588.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-r2-00034588.fit: Airmass range = 1.24811 1.29529 SKYSUBTRACT: sdR-r2-00034588.fit: Discarding 0.00393497 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 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of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034588.fit: Median sky-residual chi2 = 2.58087 SKYSUBTRACT: sdR-r2-00034588.fit: Max sky-residual chi2 = 16.1955 QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 1 = -13.4010 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 154 = 20.8562 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 177 = 26.6151 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 181 = 21.1808 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 202 = 12.9980 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 205 = 26.6302 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 207 = 52.9736 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 214 = 41.3173 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 236 = -71.4872 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 258 = 11.6728 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 261 = -38.3658 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 272 = -22.6694 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 308 = -96.5637 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Median sky-residual chi = 1.63835 QAPLOT_SKYSUB: sdR-r2-00034588.fit: Max sky-residual chi = 4.75055 at 5809.1940 Ang SKYSUBTRACT: sdR-r2-00034588.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-r2-00034588.fit: Airmass range = 1.24811 1.29529 SKYSUBTRACT: sdR-r2-00034588.fit: Discarding 0.00393497 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 of 2046 Bin 50 of 2046 Bin 51 of 2046 Bin 52 of 2046 Bin 53 of 2046 Bin 54 of 2046 Bin 55 of 2046 Bin 56 of 2046 Bin 57 of 2046 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Bin 1997 of 2046 Bin 1998 of 2046 Bin 1999 of 2046 Bin 2000 of 2046 Bin 2001 of 2046 Bin 2002 of 2046 Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034588.fit: Median sky-residual chi2 = 2.18641 SKYSUBTRACT: sdR-r2-00034588.fit: Max sky-residual chi2 = 10.6346 QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 205 = 14.2830 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 207 = 41.4616 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 214 = 34.0633 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 236 = -70.0692 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 258 = 25.4617 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 261 = -22.5810 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 266 = 11.6729 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 308 = -48.2270 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Warning: Median sky-sub flux in sky fiber 309 = 56.0398 electrons QAPLOT_SKYSUB: sdR-r2-00034588.fit: Median sky-residual chi = 1.50714 QAPLOT_SKYSUB: sdR-r2-00034588.fit: Max sky-residual chi = 4.29490 at 5809.1940 Ang QAPLOT_SKYLINE: sdR-r2-00034588.fit: Airmass range = 1.25 1.30 QAPLOT_SKYLINE: sdR-r2-00034588.fit: Flux dispersion for skyline 7343.0 = 5.84 % % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r2-00034588.fit: Airmass range = 1.25 1.30 QAPLOT_SKYLINE: sdR-r2-00034588.fit: Flux dispersion for skyline 8888.3 = 4.07 % SPADD_GUIDERINFO: sdR-r2-00034588.fit: Number of guider frames = 24 SPREDUCE: sdR-r2-00034588.fit: Elapsed time = 169. seconds SPREDUCE: sdR-r2-00034589.fit: Reading object sdR-r2-00034589.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034589.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034589.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034589.fit: Measured read-noise in DN for amp# 2 = 4.82398 SDSSPROC: sdR-r2-00034589.fit: Measured bias value in DN for amp# 2 = 485.844 SDSSPROC: sdR-r2-00034589.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034589.fit: Amp #2 Number of pix below bias-5*sigma= 464. DN is 0 SDSSPROC: sdR-r2-00034589.fit: Measured read-noise in DN for amp# 3 = 3.84623 SDSSPROC: sdR-r2-00034589.fit: Measured bias value in DN for amp# 3 = 1288.44 SDSSPROC: sdR-r2-00034589.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034589.fit: Amp #3 Number of pix below bias-5*sigma= 1268. DN is 0 SDSSPROC: sdR-r2-00034589.fit: Number of bleading columns = 1 SDSSPROC: sdR-r2-00034589.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034589.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034589.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034589.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034589.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034589.fit: Science 25-th-percentile = 1187.24 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202 EXTRACT_OBJECT: sdR-r2-00034589.fit: Whopping fibers: 5 12 14 20 23 27 29 32 34 38 40 46 55 62 64 66 70 76 78 80 86 96 102 105 112 130 132 141 144 149 155 157 159 170 197 205 207 209 212 217 226 244 251 275 278 303 315 EXTRACT_OBJECT: sdR-r2-00034589.fit: Median counts in all fibers = 24824.0 EXTRACT_OBJECT: sdR-r2-00034589.fit: Number of bright fibers = 47 EXTRACT_OBJECT: sdR-r2-00034589.fit: Sky fiber median 1572.83 EXTRACT_OBJECT: sdR-r2-00034589.fit: 5% and 95% count levels 1578.96 45349.3 EXTRACT_OBJECT: sdR-r2-00034589.fit: WARNING: Disable whopping terms sdR-r2-00034589.fit MATCH_TRACE: sdR-r2-00034589.fit: Iteration: 0 Pixels Rejected: 39917 Finished? 0 MATCH_TRACE: sdR-r2-00034589.fit: Iteration: 1 Pixels Rejected: 569 Finished? 0 MATCH_TRACE: sdR-r2-00034589.fit: Iteration: 2 Pixels Rejected: 56 Finished? 0 MATCH_TRACE: sdR-r2-00034589.fit: Iteration: 3 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: sdR-r2-00034589.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-r2-00034589.fit: Warning: Large number of pixels rejected! 40543 EXTRACT_OBJECT: sdR-r2-00034589.fit: Shifting traces by match_trace 0.0490723 EXTRACT_OBJECT: sdR-r2-00034589.fit: Extracting frame sdR-r2-00034589.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034589.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 3 0.95 8.85 .0004 4 0.95 8.35 .0005 2 0.95 8.62 .0006 3 0.95 8.50 .0007 1 0.95 8.62 .0008 1 0.95 8.72 .0009 1 0.95 8.81 .0010 1 0.95 8.89 .0011 2 0.95 8.67 .0012 1 0.95 8.71 .0013 3 0.95 8.93 .0014 1 0.95 9.27 .0015 2 0.95 9.24 .0016 1 0.95 8.75 .0017 3 0.95 10.04 .0018 3 0.95 9.41 .0019 1 0.95 9.51 .0020 1 0.95 9.19 .0021 2 0.95 10.17 .0022 1 0.95 9.43 .0023 2 0.95 9.19 .0024 1 0.95 9.24 .0025 1 0.95 9.27 .0026 2 0.95 8.87 .0027 2 0.95 9.40 .0028 1 0.95 9.67 .0029 2 0.95 9.37 .0030 3 0.95 9.48 .0031 2 0.95 9.15 .0032 2 0.95 9.01 .0033 2 0.95 9.20 .0034 2 0.95 9.42 .0035 2 0.95 9.23 .0036 2 0.95 9.85 .0037 2 0.95 9.28 .0038 2 0.95 9.59 .0039 3 0.95 10.43 .0040 2 0.95 9.40 .0041 2 0.95 9.78 .0042 3 0.95 9.25 .0043 2 0.95 9.32 .0044 2 0.95 10.00 .0045 2 0.95 9.82 .0046 2 0.95 9.16 .0047 2 0.95 8.99 .0048 2 0.95 9.58 .0049 2 0.95 10.29 .0050 2 0.95 9.44 .0051 2 0.95 9.34 .0052 2 0.95 9.24 .0053 2 0.95 9.24 .0054 3 0.95 9.10 .0055 2 0.95 9.00 .0056 2 0.95 9.63 .0057 2 0.95 9.15 .0058 2 0.95 9.04 .0059 2 0.95 9.63 .0060 2 0.95 9.25 .0061 2 0.95 9.17 .0062 2 0.95 9.17 .0063 2 0.95 9.15 .0064 2 0.95 9.62 .0065 2 0.95 9.73 .0066 2 0.95 9.97 .0067 2 0.95 10.25 .0068 2 0.95 9.53 .0069 2 0.95 9.80 .0070 2 0.95 10.30 .0071 4 0.95 9.98 .0072 2 0.95 10.03 .0073 2 0.95 10.43 .0074 2 0.95 9.93 .0075 2 0.95 10.37 .0076 2 0.95 10.15 .0077 3 0.95 10.04 .0078 2 0.95 10.43 .0079 2 0.95 10.28 .0080 2 0.95 10.07 .0081 2 0.95 10.21 .0082 2 0.95 10.84 .0083 2 0.95 10.64 .0084 2 0.95 11.58 .0085 3 0.95 10.96 .0086 2 0.95 11.43 .0087 2 0.95 10.93 .0088 2 0.95 11.35 .0089 3 0.95 11.23 .0090 3 0.95 9.96 .0091 3 0.95 10.30 .0092 3 0.95 10.32 .0093 3 0.95 10.35 .0094 3 0.95 10.59 .0095 3 0.95 10.41 .0096 3 0.95 10.52 .0097 3 0.95 10.75 .0098 3 0.95 10.63 .0099 3 0.95 10.43 .0100 3 0.95 10.89 .0101 3 0.95 11.21 .0102 3 0.95 10.69 .0103 2 0.95 11.37 .0104 2 0.95 10.99 .0105 2 0.95 11.35 .0106 2 0.95 11.00 .0107 2 0.95 11.25 .0108 2 0.95 11.09 .0109 2 0.95 11.69 .0110 2 0.95 12.02 .0111 2 0.95 12.36 .0112 2 0.95 11.69 .0113 2 0.95 11.55 .0114 2 0.95 13.04 .0115 2 0.95 11.93 .0116 2 0.95 12.09 .0117 2 0.95 12.62 .0118 2 0.95 13.25 .0119 2 0.95 12.89 .0120 2 0.95 12.08 .0121 2 0.95 12.07 .0122 2 0.95 12.03 .0123 2 0.95 12.82 .0124 2 0.95 12.44 .0125 2 0.95 12.43 .0126 2 0.95 12.85 .0127 2 0.95 12.51 .0128 2 0.95 12.73 .0129 2 0.95 13.38 .0130 2 0.95 12.90 .0131 3 0.95 12.94 .0132 3 0.95 12.93 .0133 2 0.95 13.04 .0134 2 0.95 13.36 .0135 2 0.95 12.92 .0136 2 0.95 13.19 .0137 2 0.95 13.44 .0138 2 0.95 14.22 .0139 2 0.95 13.68 .0140 2 0.95 13.99 .0141 2 0.95 12.98 .0142 2 0.95 13.74 .0143 3 0.95 13.93 .0144 2 0.95 13.85 .0145 2 0.95 13.73 .0146 2 0.95 13.78 .0147 2 0.95 14.08 .0148 2 0.95 13.46 .0149 2 0.95 14.24 .0150 2 0.95 14.46 .0151 2 0.95 13.97 .0152 2 0.95 14.09 .0153 2 0.95 14.14 .0154 2 0.95 14.34 .0155 2 0.95 14.68 .0156 2 0.95 15.23 .0157 2 0.95 14.76 .0158 2 0.95 16.16 .0159 3 0.95 14.90 .0160 2 0.95 14.80 .0161 2 0.95 14.96 .0162 2 0.95 14.82 .0163 2 0.95 15.86 .0164 2 0.95 15.42 .0165 2 0.95 15.38 .0166 2 0.95 14.95 .0167 2 0.95 15.00 .0168 2 0.95 14.93 .0169 2 0.95 15.00 .0170 2 0.95 15.66 .0171 2 0.95 15.15 .0172 2 0.95 14.96 .0173 2 0.95 15.45 .0174 3 0.95 15.13 .0175 2 0.95 15.04 .0176 2 0.95 14.96 .0177 2 0.95 15.14 .0178 2 0.95 15.40 .0179 2 0.95 15.03 .0180 1 0.95 15.82 .0181 1 0.95 15.79 .0182 1 0.95 15.36 .0183 1 0.95 16.05 .0184 2 0.95 15.53 .0185 1 0.95 16.06 .0186 1 0.95 15.40 .0187 1 0.95 16.11 .0188 1 0.95 15.73 .0189 2 0.95 15.31 .0190 1 0.95 15.73 .0191 1 0.95 15.97 .0192 1 0.95 14.94 .0193 1 0.95 15.22 .0194 1 0.95 15.01 .0195 1 0.95 15.63 .0196 2 0.95 15.13 .0197 2 0.95 15.52 .0198 2 0.95 15.90 .0199 1 0.95 15.19 .0200 1 0.95 15.82 .0201 1 0.95 15.40 .0202 1 0.95 15.65 .0203 2 0.95 14.65 .0204 1 0.95 14.81 .0205 1 0.95 15.19 .0206 2 0.95 14.78 .0207 2 0.95 15.07 .0208 1 0.95 16.54 .0209 1 0.95 14.58 .0210 1 0.95 14.27 .0211 1 0.95 14.88 .0212 1 0.95 14.51 .0213 1 0.95 14.92 .0214 1 0.95 14.20 .0215 1 0.95 14.86 .0216 1 0.95 14.97 .0217 1 0.95 14.52 .0218 1 0.95 14.55 .0219 1 0.95 14.56 .0220 1 0.95 14.43 .0221 1 0.95 15.31 .0222 1 0.95 14.98 .0223 2 0.95 14.29 .0224 1 0.95 14.42 .0225 3 0.95 14.26 .0226 4 0.95 14.40 .0227 1 0.95 14.29 .0228 1 0.95 13.99 .0229 1 0.95 14.43 .0230 2 0.95 14.16 .0231 2 0.95 15.09 .0232 1 0.95 14.47 .0233 1 0.95 14.46 .0234 1 0.95 14.36 .0235 1 0.95 14.70 .0236 1 0.95 14.93 .0237 1 0.95 14.87 .0238 1 0.95 14.65 .0239 1 0.95 14.48 .0240 2 0.95 14.46 .0241 1 0.95 14.63 .0242 1 0.95 15.79 .0243 1 0.95 15.27 .0244 1 0.95 14.76 .0245 2 0.95 15.88 .0246 1 0.95 14.82 .0247 1 0.95 14.83 .0248 1 0.95 15.08 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1 0.91 7.53 .1589 2 0.91 7.16 .1590 1 0.91 8.04 .1591 1 0.91 7.30 .1592 1 0.91 7.32 .1593 1 0.91 7.69 .1594 2 0.91 7.29 .1595 1 0.91 7.74 .1596 1 0.91 7.03 .1597 1 0.91 7.71 .1598 2 0.91 7.67 .1599 2 0.91 7.41 .1600 2 0.91 7.16 .1601 2 0.91 7.27 .1602 2 0.91 7.72 .1603 3 0.91 8.68 .1604 1 0.91 7.86 .1605 1 0.91 7.04 .1606 2 0.91 7.70 .1607 1 0.91 7.61 .1608 2 0.91 7.54 .1609 2 0.91 7.28 .1610 1 0.91 7.70 .1611 2 0.91 7.58 .1612 1 0.91 7.51 .1613 1 0.91 7.76 .1614 1 0.91 7.30 .1615 1 0.91 7.30 .1616 1 0.91 7.35 .1617 2 0.91 7.27 .1618 3 0.91 7.43 .1619 1 0.91 7.84 .1620 3 0.91 7.50 .1621 1 0.91 7.50 .1622 2 0.91 7.06 .1623 3 0.91 7.44 .1624 1 0.91 7.36 .1625 3 0.91 7.44 .1626 2 0.91 7.32 .1627 2 0.91 7.58 .1628 2 0.91 7.35 .1629 2 0.91 7.27 .1630 1 0.91 7.57 .1631 2 0.91 7.36 .1632 1 0.91 7.27 .1633 1 0.91 7.52 .1634 1 0.91 7.20 .1635 1 0.91 7.19 .1636 3 0.91 6.77 .1637 1 0.91 7.01 .1638 1 0.91 7.35 .1639 1 0.91 6.74 .1640 3 0.91 6.80 .1641 1 0.92 7.08 .1642 1 0.92 6.91 .1643 1 0.92 6.83 .1644 2 0.92 6.91 .1645 1 0.92 7.45 .1646 2 0.92 7.38 .1647 2 0.92 7.55 .1648 1 0.92 7.41 .1649 1 0.92 7.18 .1650 2 0.92 7.79 .1651 2 0.92 6.96 .1652 2 0.92 6.64 .1653 1 0.92 6.72 .1654 3 0.92 6.92 .1655 1 0.92 6.66 .1656 1 0.92 6.81 .1657 3 0.92 6.66 .1658 1 0.92 7.12 .1659 1 0.92 6.80 .1660 1 0.92 6.88 .1661 2 0.92 7.08 .1662 2 0.92 6.54 .1663 1 0.92 6.76 .1664 1 0.92 6.77 .1665 1 0.92 6.76 .1666 2 0.92 7.17 .1667 1 0.92 7.43 .1668 1 0.92 6.46 .1669 1 0.92 6.52 .1670 1 0.92 6.42 .1671 1 0.92 6.92 .1672 2 0.92 7.05 .1673 3 0.92 6.99 .1674 2 0.92 7.49 .1675 2 0.92 6.79 .1676 3 0.92 7.11 .1677 1 0.92 6.69 .1678 1 0.92 6.80 .1679 1 0.92 6.82 .1680 1 0.92 6.90 .1681 1 0.92 6.49 .1682 1 0.92 6.75 .1683 2 0.92 6.90 .1684 3 0.92 6.52 .1685 2 0.92 6.88 .1686 2 0.92 6.73 .1687 1 0.92 6.53 .1688 1 0.92 6.73 .1689 1 0.92 7.21 .1690 2 0.92 6.76 .1691 1 0.92 6.96 .1692 2 0.92 6.65 .1693 1 0.92 6.50 .1694 1 0.92 6.44 .1695 1 0.92 6.86 .1696 1 0.92 6.82 .1697 2 0.92 7.29 .1698 2 0.92 7.24 .1699 2 0.92 6.44 .1700 3 0.92 6.45 .1701 1 0.92 7.01 .1702 2 0.92 6.98 .1703 1 0.92 6.54 .1704 1 0.92 6.86 .1705 3 0.92 6.71 .1706 2 0.92 6.69 .1707 1 0.92 6.43 .1708 1 0.92 6.65 .1709 1 0.92 6.50 .1710 1 0.92 6.63 .1711 2 0.92 6.63 .1712 1 0.92 6.48 .1713 1 0.92 6.35 .1714 2 0.92 6.88 .1715 3 0.92 6.45 .1716 2 0.92 6.38 .1717 1 0.92 6.35 .1718 2 0.92 6.20 .1719 2 0.92 6.43 .1720 1 0.92 6.27 .1721 1 0.92 6.05 .1722 1 0.92 6.16 .1723 2 0.92 6.40 .1724 1 0.92 6.84 .1725 2 0.92 6.29 .1726 1 0.92 6.70 .1727 2 0.92 6.02 .1728 2 0.92 6.16 .1729 1 0.92 6.11 .1730 1 0.92 5.89 .1731 1 0.92 6.61 .1732 1 0.92 6.18 .1733 1 0.92 6.44 .1734 2 0.92 5.93 .1735 1 0.92 5.96 .1736 1 0.92 6.04 .1737 2 0.92 5.62 .1738 3 0.92 5.83 .1739 2 0.92 6.63 .1740 2 0.92 6.22 .1741 2 0.92 6.62 .1742 2 0.92 6.17 .1743 2 0.92 6.14 .1744 1 0.92 6.13 .1745 1 0.92 6.45 .1746 2 0.92 6.26 .1747 1 0.92 6.23 .1748 3 0.92 6.65 .1749 2 0.92 6.25 .1750 1 0.92 5.97 .1751 1 0.92 6.59 .1752 1 0.92 6.31 .1753 1 0.92 6.11 .1754 1 0.92 6.54 .1755 1 0.92 6.32 .1756 1 0.92 6.08 .1757 2 0.92 6.42 .1758 2 0.92 6.29 .1759 2 0.92 6.36 .1760 1 0.92 6.59 .1761 1 0.92 6.17 .1762 3 0.92 6.41 .1763 2 0.92 6.00 .1764 1 0.92 6.00 .1765 1 0.92 6.30 .1766 1 0.92 6.17 .1767 2 0.92 6.29 .1768 2 0.92 5.99 .1769 1 0.92 6.88 .1770 2 0.92 6.16 .1771 2 0.92 6.38 .1772 1 0.92 6.38 .1773 2 0.92 5.99 .1774 2 0.92 5.98 .1775 1 0.92 5.90 .1776 2 0.92 6.25 .1777 2 0.92 6.37 .1778 2 0.92 5.92 .1779 2 0.92 5.96 .1780 1 0.92 6.52 .1781 2 0.92 6.27 .1782 1 0.92 6.33 .1783 3 0.92 5.68 .1784 2 0.92 6.04 .1785 1 0.92 6.26 .1786 1 0.92 6.08 .1787 3 0.92 5.91 .1788 1 0.92 6.00 .1789 1 0.92 6.12 .1790 1 0.92 6.99 .1791 1 0.92 5.91 .1792 3 0.92 6.30 .1793 2 0.92 6.77 .1794 2 0.92 6.35 .1795 1 0.92 6.46 .1796 1 0.92 6.24 .1797 1 0.92 6.37 .1798 3 0.92 6.35 .1799 1 0.92 6.68 .1800 1 0.92 6.27 .1801 3 0.92 6.62 .1802 3 0.92 7.27 .1803 2 0.92 6.77 .1804 1 0.92 6.30 .1805 1 0.92 6.52 .1806 1 0.92 6.41 .1807 1 0.92 6.39 .1808 2 0.92 6.31 .1809 2 0.92 6.35 .1810 1 0.92 6.43 .1811 1 0.92 6.67 .1812 2 0.92 6.57 .1813 1 0.92 7.39 .1814 2 0.92 6.58 .1815 2 0.92 7.13 .1816 3 0.92 6.28 .1817 2 0.92 6.41 .1818 1 0.92 6.33 .1819 2 0.92 6.66 .1820 2 0.92 6.66 .1821 1 0.92 7.05 .1822 2 0.92 6.77 .1823 1 0.92 6.47 .1824 2 0.92 6.65 .1825 2 0.92 6.64 .1826 2 0.92 6.59 .1827 2 0.92 6.55 .1828 2 0.92 6.56 .1829 1 0.92 6.38 .1830 1 0.92 6.08 .1831 1 0.92 6.24 .1832 1 0.92 6.15 .1833 2 0.92 6.25 .1834 1 0.92 6.17 .1835 1 0.92 7.04 .1836 2 0.92 6.05 .1837 1 0.92 6.08 .1838 1 0.92 6.16 .1839 1 0.92 6.09 .1840 2 0.92 6.38 .1841 1 0.92 6.30 .1842 3 0.92 6.29 .1843 1 0.92 6.33 .1844 1 0.92 6.23 .1845 1 0.92 6.53 .1846 2 0.92 6.03 .1847 1 0.92 6.03 .1848 1 0.92 6.00 .1849 2 0.92 6.62 .1850 2 0.92 6.43 .1851 2 0.92 6.50 .1852 2 0.92 6.08 .1853 2 0.92 6.09 .1854 2 0.92 6.46 .1855 2 0.92 6.35 .1856 2 0.92 6.44 .1857 2 0.92 6.67 .1858 2 0.92 6.50 .1859 1 0.92 6.46 .1860 1 0.92 6.58 .1861 1 0.92 6.86 .1862 2 0.92 6.87 .1863 1 0.92 6.94 .1864 1 0.92 6.80 .1865 2 0.92 6.95 .1866 1 0.92 7.05 .1867 2 0.92 7.15 .1868 2 0.92 6.60 .1869 2 0.92 6.66 .1870 2 0.92 7.00 .1871 2 0.92 6.77 .1872 2 0.92 6.81 .1873 2 0.92 7.07 .1874 1 0.92 6.85 .1875 2 0.92 6.99 .1876 2 0.92 6.56 .1877 2 0.92 6.72 .1878 1 0.92 7.50 .1879 2 0.92 6.58 .1880 1 0.92 6.32 .1881 1 0.92 6.52 .1882 2 0.92 6.48 .1883 2 0.92 6.71 .1884 1 0.92 6.89 .1885 2 0.92 6.43 .1886 2 0.92 6.41 .1887 2 0.92 6.86 .1888 2 0.92 6.88 .1889 2 0.92 6.86 .1890 1 0.92 6.98 .1891 2 0.92 6.53 .1892 1 0.92 6.31 .1893 2 0.92 6.54 .1894 1 0.92 6.44 .1895 1 0.92 6.43 .1896 1 0.92 6.46 .1897 1 0.92 6.08 .1898 1 0.92 6.41 .1899 2 0.92 6.20 .1900 1 0.92 6.66 .1901 1 0.92 6.16 .1902 2 0.92 6.38 .1903 1 0.92 6.34 .1904 1 0.92 6.16 .1905 1 0.92 6.02 .1906 1 0.92 6.10 .1907 1 0.92 6.05 .1908 1 0.92 5.74 .1909 2 0.92 6.34 .1910 1 0.92 5.92 .1911 1 0.92 5.74 .1912 1 0.92 5.60 .1913 1 0.92 5.78 .1914 2 0.92 5.42 .1915 3 0.92 6.20 .1916 1 0.92 5.97 .1917 3 0.92 5.51 .1918 2 0.92 6.07 .1919 2 0.92 5.54 .1920 2 0.92 5.41 .1921 1 0.92 5.32 .1922 2 0.92 5.34 .1923 1 0.92 5.33 .1924 1 0.92 5.50 .1925 2 0.92 5.33 .1926 2 0.92 5.64 .1927 1 0.92 5.37 .1928 1 0.92 5.36 .1929 1 0.92 5.43 .1930 3 0.92 5.49 .1931 3 0.92 5.59 .1932 2 0.92 5.35 .1933 2 0.92 5.62 .1934 2 0.92 5.67 .1935 2 0.92 6.35 .1936 1 0.92 5.86 .1937 2 0.92 5.70 .1938 2 0.92 5.75 .1939 2 0.92 5.84 .1940 2 0.92 5.85 .1941 3 0.92 6.29 .1942 2 0.92 6.07 .1943 2 0.92 6.01 .1944 2 0.92 6.13 .1945 1 0.92 6.48 .1946 2 0.92 6.67 .1947 1 0.92 6.71 .1948 1 0.92 6.13 .1949 1 0.92 5.80 .1950 2 0.92 6.24 .1951 2 0.92 5.98 .1952 3 0.92 5.80 .1953 2 0.92 5.98 .1954 1 0.92 5.74 .1955 1 0.92 5.85 .1956 1 0.92 5.84 .1957 2 0.92 5.89 .1958 2 0.92 5.61 .1959 2 0.92 5.47 .1960 2 0.92 5.61 .1961 1 0.92 5.86 .1962 2 0.92 5.49 .1963 1 0.92 5.50 .1964 1 0.92 5.67 .1965 1 0.92 5.71 .1966 2 0.92 5.98 .1967 1 0.92 5.61 .1968 1 0.92 5.99 .1969 1 0.92 5.60 .1970 2 0.92 6.27 .1971 2 0.92 6.07 .1972 2 0.92 5.89 .1973 3 0.92 5.72 .1974 1 0.92 5.60 .1975 1 0.92 5.83 .1976 1 0.92 5.71 .1977 1 0.92 6.11 .1978 1 0.92 6.14 .1979 1 0.92 5.73 .1980 2 0.92 5.57 .1981 1 0.92 5.61 .1982 1 0.92 5.91 .1983 1 0.92 5.98 .1984 2 0.92 6.14 .1985 1 0.92 5.83 .1986 1 0.92 5.52 .1987 1 0.92 5.91 .1988 1 0.92 5.87 .1989 1 0.92 5.62 .1990 1 0.92 5.69 .1991 1 0.92 5.43 .1992 1 0.92 5.74 .1993 2 0.92 5.45 .1994 1 0.92 5.31 .1995 2 0.92 5.31 .1996 2 0.92 5.64 .1997 2 0.92 5.42 .1998 2 0.92 5.47 .1999 1 0.92 5.20 .2000 1 0.92 5.22 .2001 1 0.92 5.40 .2002 2 0.92 5.32 .2003 2 0.92 5.41 .2004 2 0.92 5.43 .2005 2 0.92 5.66 .2006 1 0.92 6.02 .2007 2 0.92 5.92 .2008 2 0.92 5.52 .2009 2 0.92 5.60 .2010 1 0.92 5.85 .2011 1 0.92 5.29 .2012 1 0.92 5.80 .2013 2 0.92 5.61 .2014 1 0.92 5.57 .2015 2 0.92 5.80 .2016 1 0.92 6.52 .2017 1 0.92 5.78 .2018 1 0.92 5.56 .2019 1 0.92 5.64 .2020 2 0.92 5.57 .2021 2 0.92 5.91 .2022 2 0.92 5.48 .2023 2 0.92 5.63 .2024 1 0.92 5.75 .2025 2 0.92 5.31 .2026 1 0.92 5.45 .2027 1 0.92 5.42 .2028 1 0.92 5.75 .2029 1 0.92 6.04 .2030 1 0.92 5.34 .2031 1 0.92 5.38 .2032 2 0.92 5.22 .2033 1 0.92 5.00 .2034 2 0.92 5.72 .2035 2 0.92 4.90 .2036 1 0.92 4.97 .2037 2 0.92 5.24 .2038 2 0.92 5.37 .2039 2 0.92 5.07 .2040 1 0.92 4.92 .2041 2 0.92 5.22 .2042 2 0.92 5.03 .2043 4 0.92 4.85 .2044 1 0.92 4.82 .2045 1 0.92 4.67 .2046 1 0.92 4.81 .2047 1 0.92 4.71 EXTRACT_IMAGE: sdR-r2-00034589.fit: masked 1273 pixels EXTRACT_OBJECT: sdR-r2-00034589.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034589.fit: WARNING: Scattered light median = 348.768 electrons QAPLOT_SCATLIGHT: sdR-r2-00034589.fit: WARNING: Scattered light max = 669.398 electrons EXTRACT_OBJECT: sdR-r2-00034589.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034589.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034589.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034589.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.16 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.59 96 0.02 0.15 Step 36 of 2112 0.59 96 0.02 0.14 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.16 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.16 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.17 Step 100 of 2112 0.60 96 0.02 0.14 Step 108 of 2112 0.60 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.03 0.16 Step 164 of 2112 0.61 96 0.02 0.17 Step 172 of 2112 0.61 96 0.02 0.15 Step 180 of 2112 0.61 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.15 Step 228 of 2112 0.62 96 0.02 0.14 Step 236 of 2112 0.62 96 0.02 0.14 Step 244 of 2112 0.62 96 0.02 0.17 Step 252 of 2112 0.62 96 0.01 0.15 Step 260 of 2112 0.62 96 0.01 0.14 Step 268 of 2112 0.62 96 0.01 0.16 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.01 0.14 Step 292 of 2112 0.62 96 0.01 0.15 Step 300 of 2112 0.63 96 0.02 0.15 Step 308 of 2112 0.63 96 0.02 0.17 Step 316 of 2112 0.63 96 0.02 0.16 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.17 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.64 96 0.02 0.15 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.15 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.17 Step 412 of 2112 0.64 96 0.02 0.16 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.65 96 0.02 0.15 Step 436 of 2112 0.65 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.16 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.17 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.14 Step 484 of 2112 0.65 96 0.02 0.14 Step 492 of 2112 0.66 96 0.02 0.17 Step 500 of 2112 0.66 96 0.02 0.15 Step 508 of 2112 0.66 96 0.02 0.15 Step 516 of 2112 0.66 96 0.02 0.16 Step 524 of 2112 0.66 96 0.02 0.14 Step 532 of 2112 0.66 96 0.03 0.15 Step 540 of 2112 0.66 96 0.02 0.15 Step 548 of 2112 0.66 96 0.03 0.17 Step 556 of 2112 0.67 96 0.02 0.16 Step 564 of 2112 0.67 96 0.02 0.15 Step 572 of 2112 0.67 96 0.02 0.16 Step 580 of 2112 0.67 96 0.02 0.15 Step 588 of 2112 0.67 96 0.02 0.15 Step 596 of 2112 0.67 96 0.02 0.15 Step 604 of 2112 0.67 96 0.02 0.15 Step 612 of 2112 0.68 96 0.02 0.14 Step 620 of 2112 0.68 96 0.03 0.16 Step 628 of 2112 0.68 96 0.02 0.16 Step 636 of 2112 0.68 96 0.02 0.16 Step 644 of 2112 0.68 128 0.03 0.21 Step 652 of 2112 0.68 128 0.03 0.21 Step 660 of 2112 0.68 128 0.03 0.21 Step 668 of 2112 0.68 128 0.02 0.20 Step 676 of 2112 0.69 128 0.03 0.20 Step 684 of 2112 0.69 128 0.02 0.20 Step 692 of 2112 0.69 128 0.02 0.20 Step 700 of 2112 0.69 128 0.03 0.23 Step 708 of 2112 0.69 128 0.02 0.24 Step 716 of 2112 0.69 128 0.02 0.23 Step 724 of 2112 0.69 128 0.03 0.23 Step 732 of 2112 0.69 128 0.03 0.22 Step 740 of 2112 0.70 128 0.02 0.22 Step 748 of 2112 0.70 128 0.02 0.23 Step 756 of 2112 0.70 128 0.02 0.20 Step 764 of 2112 0.70 128 0.03 0.23 Step 772 of 2112 0.70 128 0.03 0.24 Step 780 of 2112 0.70 128 0.02 0.21 Step 788 of 2112 0.70 128 0.03 0.21 Step 796 of 2112 0.71 128 0.02 0.21 Step 804 of 2112 0.71 128 0.02 0.22 Step 812 of 2112 0.71 128 0.02 0.22 Step 820 of 2112 0.71 128 0.02 0.23 Step 828 of 2112 0.71 128 0.02 0.21 Step 836 of 2112 0.71 128 0.03 0.21 Step 844 of 2112 0.71 128 0.03 0.20 Step 852 of 2112 0.71 128 0.03 0.19 Step 860 of 2112 0.72 128 0.02 0.21 Step 868 of 2112 0.72 128 0.02 0.21 Step 876 of 2112 0.72 128 0.02 0.22 Step 884 of 2112 0.72 128 0.03 0.22 Step 892 of 2112 0.72 128 0.03 0.24 Step 900 of 2112 0.72 128 0.03 0.23 Step 908 of 2112 0.72 128 0.02 0.21 Step 916 of 2112 0.73 128 0.02 0.21 Step 924 of 2112 0.73 128 0.03 0.22 Step 932 of 2112 0.73 128 0.02 0.20 Step 940 of 2112 0.73 128 0.02 0.22 Step 948 of 2112 0.73 128 0.02 0.21 Step 956 of 2112 0.73 128 0.02 0.22 Step 964 of 2112 0.73 128 0.03 0.22 Step 972 of 2112 0.73 128 0.03 0.21 Step 980 of 2112 0.74 128 0.02 0.22 Step 988 of 2112 0.74 128 0.02 0.22 Step 996 of 2112 0.74 128 0.02 0.22 Step 1004 of 2112 0.74 128 0.03 0.24 Step 1012 of 2112 0.74 128 0.02 0.21 Step 1020 of 2112 0.74 128 0.03 0.21 Step 1028 of 2112 0.74 128 0.03 0.24 Step 1036 of 2112 0.75 128 0.03 0.22 Step 1044 of 2112 0.75 128 0.02 0.20 Step 1052 of 2112 0.75 128 0.02 0.21 Step 1060 of 2112 0.75 128 0.03 0.21 Step 1068 of 2112 0.75 128 0.03 0.24 Step 1076 of 2112 0.75 128 0.02 0.23 Step 1084 of 2112 0.75 128 0.02 0.22 Step 1092 of 2112 0.75 160 0.04 0.34 Step 1100 of 2112 0.76 160 0.03 0.32 Step 1108 of 2112 0.76 160 0.03 0.32 Step 1116 of 2112 0.76 160 0.04 0.36 Step 1124 of 2112 0.76 160 0.03 0.33 Step 1132 of 2112 0.76 160 0.03 0.34 Step 1140 of 2112 0.76 160 0.04 0.34 Step 1148 of 2112 0.76 160 0.03 0.33 Step 1156 of 2112 0.77 160 0.03 0.34 Step 1164 of 2112 0.77 160 0.03 0.32 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.34 Step 1188 of 2112 0.77 160 0.03 0.36 Step 1196 of 2112 0.77 160 0.03 0.35 Step 1204 of 2112 0.77 160 0.04 0.33 Step 1212 of 2112 0.78 160 0.03 0.34 Step 1220 of 2112 0.78 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.35 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.03 0.33 Step 1252 of 2112 0.78 160 0.03 0.36 Step 1260 of 2112 0.78 160 0.03 0.33 Step 1268 of 2112 0.78 160 0.03 0.33 Step 1276 of 2112 0.79 160 0.03 0.35 Step 1284 of 2112 0.79 160 0.03 0.33 Step 1292 of 2112 0.79 160 0.03 0.32 Step 1300 of 2112 0.79 160 0.03 0.34 Step 1308 of 2112 0.79 160 0.03 0.34 Step 1316 of 2112 0.79 160 0.03 0.32 Step 1324 of 2112 0.79 160 0.03 0.32 Step 1332 of 2112 0.80 160 0.03 0.42 Step 1340 of 2112 0.80 160 0.03 0.40 Step 1348 of 2112 0.80 160 0.03 0.34 Step 1356 of 2112 0.80 160 0.03 0.34 Step 1364 of 2112 0.80 160 0.03 0.33 Step 1372 of 2112 0.80 160 0.03 0.34 Step 1380 of 2112 0.80 160 0.02 0.34 Step 1388 of 2112 0.81 160 0.04 0.33 Step 1396 of 2112 0.81 160 0.03 0.34 Step 1404 of 2112 0.81 160 0.02 0.35 Step 1412 of 2112 0.81 160 0.02 0.36 Step 1420 of 2112 0.81 160 0.03 0.34 Step 1428 of 2112 0.81 160 0.03 0.33 Step 1436 of 2112 0.81 160 0.03 0.36 Step 1444 of 2112 0.82 160 0.04 0.34 Step 1452 of 2112 0.82 192 0.04 0.39 Step 1460 of 2112 0.82 192 0.04 0.42 Step 1468 of 2112 0.82 192 0.04 0.41 Step 1476 of 2112 0.82 192 0.04 0.40 Step 1484 of 2112 0.82 192 0.03 0.41 Step 1492 of 2112 0.82 192 0.02 0.41 Step 1500 of 2112 0.82 192 0.03 0.38 Step 1508 of 2112 0.83 192 0.04 0.42 Step 1516 of 2112 0.83 192 0.04 0.41 Step 1524 of 2112 0.83 192 0.05 0.42 Step 1532 of 2112 0.83 192 0.04 0.40 Step 1540 of 2112 0.83 192 0.04 0.39 Step 1548 of 2112 0.83 192 0.04 0.36 Step 1556 of 2112 0.83 192 0.03 0.36 Step 1564 of 2112 0.84 192 0.04 0.39 Step 1572 of 2112 0.84 192 0.04 0.41 Step 1580 of 2112 0.84 192 0.04 0.42 Step 1588 of 2112 0.84 192 0.04 0.41 Step 1596 of 2112 0.84 192 0.04 0.43 Step 1604 of 2112 0.84 192 0.05 0.43 Step 1612 of 2112 0.84 192 0.04 0.41 Step 1620 of 2112 0.85 192 0.04 0.42 Step 1628 of 2112 0.85 192 0.05 0.38 Step 1636 of 2112 0.85 192 0.04 0.38 Step 1644 of 2112 0.85 192 0.05 0.43 Step 1652 of 2112 0.85 192 0.04 0.38 Step 1660 of 2112 0.85 192 0.06 0.42 Step 1668 of 2112 0.85 192 0.05 0.42 Step 1676 of 2112 0.86 192 0.04 0.40 Step 1684 of 2112 0.86 192 0.04 0.38 Step 1692 of 2112 0.86 192 0.04 0.39 Step 1700 of 2112 0.86 192 0.04 0.38 Step 1708 of 2112 0.86 192 0.04 0.38 Step 1716 of 2112 0.86 192 0.03 0.37 Step 1724 of 2112 0.86 192 0.04 0.39 Step 1732 of 2112 0.87 192 0.04 0.37 Step 1740 of 2112 0.87 192 0.04 0.40 Step 1748 of 2112 0.87 224 0.04 0.51 Step 1756 of 2112 0.87 224 0.05 0.49 Step 1764 of 2112 0.87 224 0.04 0.48 Step 1772 of 2112 0.87 224 0.04 0.49 Step 1780 of 2112 0.87 224 0.05 0.51 Step 1788 of 2112 0.88 224 0.05 0.51 Step 1796 of 2112 0.88 224 0.06 0.53 Step 1804 of 2112 0.88 224 0.06 0.57 Step 1812 of 2112 0.88 224 0.04 0.55 Step 1820 of 2112 0.88 224 0.05 0.55 Step 1828 of 2112 0.88 224 0.07 0.55 Step 1836 of 2112 0.88 224 0.09 0.59 Step 1844 of 2112 0.89 224 0.07 0.52 Step 1852 of 2112 0.89 224 0.04 0.49 Step 1860 of 2112 0.89 224 0.03 0.49 Step 1868 of 2112 0.89 224 0.05 0.52 Step 1876 of 2112 0.89 224 0.05 0.51 Step 1884 of 2112 0.89 224 0.05 0.50 Step 1892 of 2112 0.89 224 0.04 0.50 Step 1900 of 2112 0.90 224 0.05 0.54 Step 1908 of 2112 0.90 224 0.04 0.58 Step 1916 of 2112 0.90 224 0.04 0.55 Step 1924 of 2112 0.90 224 0.06 0.55 Step 1932 of 2112 0.90 224 0.05 0.52 Step 1940 of 2112 0.90 224 0.05 0.55 Step 1948 of 2112 0.90 224 0.04 0.52 Step 1956 of 2112 0.91 224 0.04 0.49 Step 1964 of 2112 0.91 224 0.05 0.51 Step 1972 of 2112 0.91 224 0.05 0.50 Step 1980 of 2112 0.91 224 0.04 0.48 Step 1988 of 2112 0.91 224 0.04 0.54 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.07 0.63 Step 2012 of 2112 0.92 256 0.06 0.55 Step 2020 of 2112 0.92 256 0.05 0.54 Step 2028 of 2112 0.92 256 0.05 0.58 Step 2036 of 2112 0.92 256 0.04 0.59 Step 2044 of 2112 0.92 256 0.04 0.56 Step 2052 of 2112 0.92 256 0.04 0.52 Step 2060 of 2112 0.92 256 0.05 0.58 Step 2068 of 2112 0.93 256 0.06 0.62 Step 2076 of 2112 0.93 256 0.06 0.59 Step 2084 of 2112 0.93 256 0.05 0.61 Step 2092 of 2112 0.93 256 0.08 0.58 Step 2100 of 2112 0.93 256 0.06 0.53 Step 2108 of 2112 0.93 256 0.06 0.54 EXTRACT_OBJECT: sdR-r2-00034589.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 3 0.95 8.63 .0004 4 0.95 8.11 .0005 2 0.95 8.35 .0006 3 0.95 8.24 .0007 1 0.95 8.34 .0008 1 0.95 8.42 .0009 1 0.95 8.51 .0010 1 0.95 8.56 .0011 2 0.95 8.36 .0012 1 0.95 8.39 .0013 3 0.95 8.59 .0014 1 0.95 8.91 .0015 2 0.95 8.87 .0016 1 0.95 8.40 .0017 3 0.95 9.70 .0018 3 0.95 9.04 .0019 1 0.95 9.12 .0020 1 0.95 8.81 .0021 2 0.95 9.79 .0022 1 0.95 9.02 .0023 2 0.95 8.80 .0024 1 0.95 8.86 .0025 1 0.95 8.85 .0026 2 0.95 8.46 .0027 3 0.95 8.53 .0028 2 0.95 8.77 .0029 3 0.95 8.48 .0030 3 0.95 9.05 .0031 2 0.95 8.73 .0032 2 0.95 8.59 .0033 2 0.95 8.77 .0034 2 0.95 8.96 .0035 2 0.95 8.80 .0036 2 0.95 9.41 .0037 2 0.95 8.83 .0038 2 0.95 9.16 .0039 3 0.95 9.99 .0040 2 0.95 8.95 .0041 2 0.95 9.35 .0042 2 0.95 8.80 .0043 2 0.95 8.87 .0044 2 0.95 9.53 .0045 2 0.95 9.39 .0046 2 0.95 8.73 .0047 2 0.95 8.54 .0048 2 0.95 9.13 .0049 2 0.95 9.82 .0050 2 0.95 9.01 .0051 2 0.95 8.85 .0052 2 0.95 8.79 .0053 2 0.95 8.79 .0054 2 0.95 8.65 .0055 2 0.95 8.55 .0056 2 0.95 9.16 .0057 2 0.95 8.68 .0058 2 0.95 8.59 .0059 2 0.95 9.17 .0060 2 0.95 8.79 .0061 2 0.95 8.72 .0062 2 0.95 8.71 .0063 2 0.95 8.68 .0064 2 0.95 9.10 .0065 2 0.95 9.23 .0066 2 0.95 9.48 .0067 2 0.95 9.77 .0068 2 0.95 9.02 .0069 2 0.95 9.30 .0070 2 0.95 9.80 .0071 4 0.95 9.47 .0072 2 0.95 9.51 .0073 2 0.95 9.94 .0074 2 0.95 9.43 .0075 2 0.95 9.87 .0076 2 0.95 9.63 .0077 3 0.95 9.52 .0078 2 0.95 9.90 .0079 2 0.95 9.78 .0080 2 0.95 9.55 .0081 2 0.95 9.69 .0082 2 0.95 10.29 .0083 2 0.95 10.12 .0084 2 0.95 11.02 .0085 3 0.95 9.82 .0086 2 0.95 10.86 .0087 3 0.95 9.82 .0088 3 0.95 10.24 .0089 3 0.95 10.68 .0090 3 0.95 9.44 .0091 3 0.95 9.75 .0092 3 0.95 9.76 .0093 3 0.95 9.78 .0094 3 0.95 10.01 .0095 3 0.95 9.83 .0096 3 0.95 9.95 .0097 3 0.95 10.18 .0098 3 0.95 10.06 .0099 3 0.95 9.84 .0100 3 0.95 10.30 .0101 3 0.95 10.61 .0102 3 0.95 10.08 .0103 2 0.95 10.75 .0104 2 0.95 10.36 .0105 2 0.95 10.71 .0106 2 0.95 10.36 .0107 2 0.95 10.61 .0108 2 0.95 10.48 .0109 2 0.95 11.04 .0110 2 0.95 11.33 .0111 2 0.95 11.70 .0112 2 0.95 11.04 .0113 2 0.95 10.93 .0114 2 0.95 12.37 .0115 2 0.95 11.26 .0116 2 0.95 11.39 .0117 2 0.95 11.95 .0118 2 0.95 12.59 .0119 2 0.95 12.22 .0120 2 0.95 11.42 .0121 2 0.95 11.40 .0122 2 0.95 11.36 .0123 2 0.95 12.14 .0124 2 0.95 11.74 .0125 2 0.95 11.71 .0126 2 0.95 12.09 .0127 2 0.95 11.78 .0128 2 0.95 12.01 .0129 2 0.95 12.67 .0130 2 0.95 12.18 .0131 2 0.95 12.16 .0132 3 0.95 12.19 .0133 2 0.95 12.29 .0134 2 0.95 12.60 .0135 2 0.95 12.14 .0136 2 0.95 12.42 .0137 2 0.95 12.62 .0138 2 0.95 13.41 .0139 2 0.95 12.89 .0140 2 0.95 13.19 .0141 2 0.95 12.20 .0142 2 0.95 12.93 .0143 3 0.95 13.10 .0144 2 0.95 13.04 .0145 2 0.95 12.88 .0146 2 0.95 12.93 .0147 2 0.95 13.25 .0148 2 0.95 12.63 .0149 2 0.95 13.36 .0150 3 0.95 12.87 .0151 2 0.95 13.10 .0152 2 0.95 13.20 .0153 2 0.95 13.27 .0154 2 0.95 13.50 .0155 2 0.95 13.79 .0156 2 0.95 14.28 .0157 2 0.95 13.86 .0158 2 0.95 15.27 .0159 3 0.95 13.99 .0160 2 0.95 13.89 .0161 2 0.95 14.05 .0162 2 0.95 13.87 .0163 2 0.95 14.88 .0164 2 0.95 14.48 .0165 2 0.95 14.42 .0166 2 0.95 14.00 .0167 2 0.95 14.07 .0168 2 0.95 13.97 .0169 2 0.95 14.04 .0170 2 0.95 14.69 .0171 2 0.95 14.18 .0172 2 0.95 14.02 .0173 2 0.95 14.49 .0174 2 0.95 14.20 .0175 2 0.95 14.08 .0176 2 0.95 14.01 .0177 2 0.95 14.16 .0178 2 0.95 14.43 .0179 2 0.95 14.07 .0180 2 0.95 14.06 .0181 2 0.95 14.09 .0182 1 0.95 14.41 .0183 1 0.95 15.06 .0184 2 0.95 14.53 .0185 1 0.95 15.07 .0186 1 0.95 14.46 .0187 1 0.95 15.12 .0188 1 0.95 14.76 .0189 2 0.95 14.38 .0190 1 0.95 14.81 .0191 1 0.95 15.02 .0192 1 0.95 14.05 .0193 1 0.95 14.24 .0194 1 0.95 14.06 .0195 2 0.95 13.97 .0196 2 0.95 14.22 .0197 2 0.95 14.57 .0198 2 0.95 14.92 .0199 1 0.95 14.24 .0200 1 0.95 14.88 .0201 1 0.95 14.48 .0202 2 0.95 13.99 .0203 2 0.95 13.73 .0204 1 0.95 13.91 .0205 1 0.95 14.30 .0206 2 0.95 13.85 .0207 2 0.95 14.15 .0208 2 0.95 14.70 .0209 1 0.95 13.66 .0210 1 0.95 13.37 .0211 1 0.95 13.96 .0212 1 0.95 13.58 .0213 1 0.95 13.95 .0214 1 0.95 13.26 .0215 1 0.95 13.94 .0216 1 0.95 14.04 .0217 1 0.95 13.60 .0218 1 0.95 13.61 .0219 1 0.95 13.63 .0220 1 0.95 13.51 .0221 2 0.95 13.61 .0222 1 0.95 14.03 .0223 2 0.95 13.35 .0224 1 0.95 13.54 .0225 3 0.95 13.36 .0226 4 0.95 13.48 .0227 1 0.95 13.42 .0228 1 0.95 13.10 .0229 1 0.95 13.51 .0230 2 0.95 13.25 .0231 2 0.95 14.20 .0232 1 0.95 13.52 .0233 1 0.95 13.54 .0234 1 0.95 13.47 .0235 1 0.95 13.77 .0236 1 0.95 14.02 .0237 1 0.95 13.95 .0238 1 0.95 13.75 .0239 1 0.95 13.54 .0240 2 0.95 13.54 .0241 1 0.95 13.68 .0242 1 0.95 14.80 .0243 1 0.95 14.34 .0244 1 0.95 13.88 .0245 2 0.95 14.94 .0246 1 0.95 13.87 .0247 1 0.95 13.88 .0248 1 0.95 14.11 .0249 1 0.95 14.21 .0250 1 0.95 14.29 .0251 1 0.95 14.59 .0252 2 0.95 14.97 .0253 1 0.95 14.49 .0254 1 0.95 14.54 .0255 1 0.95 17.58 .0256 1 0.95 14.97 .0257 1 0.95 14.85 .0258 1 0.95 14.32 .0259 1 0.95 14.76 .0260 1 0.95 14.77 .0261 1 0.95 15.21 .0262 1 0.95 16.61 .0263 2 0.95 15.66 .0264 2 0.95 15.04 .0265 2 0.95 15.36 .0266 1 0.95 15.14 .0267 1 0.95 15.42 .0268 1 0.95 15.27 .0269 1 0.95 15.16 .0270 1 0.95 15.59 .0271 1 0.95 15.95 .0272 1 0.95 15.56 .0273 1 0.95 15.53 .0274 1 0.95 15.77 .0275 1 0.95 15.74 .0276 1 0.95 16.17 .0277 1 0.95 16.13 .0278 1 0.95 16.84 .0279 2 0.95 16.38 .0280 1 0.95 17.96 .0281 1 0.95 16.22 .0282 3 0.95 16.29 .0283 1 0.95 16.11 .0284 1 0.95 16.80 .0285 1 0.95 16.64 .0286 1 0.95 16.70 .0287 1 0.95 16.90 .0288 1 0.95 17.26 .0289 3 0.95 16.99 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1 0.92 5.15 .1867 2 0.92 5.12 .1868 2 0.92 4.79 .1869 2 0.92 4.87 .1870 2 0.92 5.12 .1871 2 0.92 4.93 .1872 2 0.92 5.01 .1873 3 0.92 4.90 .1874 1 0.92 4.96 .1875 2 0.92 5.19 .1876 2 0.92 4.78 .1877 2 0.92 4.81 .1878 3 0.92 5.12 .1879 2 0.92 4.91 .1880 1 0.92 4.68 .1881 1 0.92 4.77 .1882 2 0.92 4.73 .1883 2 0.92 5.00 .1884 2 0.92 4.68 .1885 2 0.92 4.64 .1886 2 0.92 4.69 .1887 2 0.92 5.10 .1888 2 0.92 5.06 .1889 2 0.92 5.01 .1890 2 0.92 4.80 .1891 2 0.92 4.78 .1892 1 0.92 4.56 .1893 2 0.92 4.74 .1894 1 0.92 4.70 .1895 1 0.92 4.59 .1896 1 0.92 4.64 .1897 1 0.92 4.35 .1898 1 0.92 4.64 .1899 2 0.92 4.49 .1900 1 0.92 4.87 .1901 1 0.92 4.41 .1902 2 0.92 4.70 .1903 1 0.92 4.63 .1904 1 0.92 4.40 .1905 1 0.92 4.35 .1906 1 0.92 4.39 .1907 1 0.92 4.38 .1908 1 0.92 4.15 .1909 3 0.92 4.31 .1910 1 0.92 4.24 .1911 1 0.92 4.11 .1912 1 0.92 4.00 .1913 1 0.92 4.21 .1914 2 0.92 3.91 .1915 3 0.92 4.64 .1916 1 0.92 4.46 .1917 3 0.92 4.01 .1918 3 0.92 4.39 .1919 2 0.92 4.11 .1920 2 0.92 3.97 .1921 1 0.92 3.80 .1922 2 0.92 3.85 .1923 1 0.92 3.83 .1924 1 0.92 4.02 .1925 2 0.92 3.91 .1926 2 0.92 4.14 .1927 1 0.92 3.97 .1928 1 0.92 3.91 .1929 1 0.92 3.98 .1930 3 0.92 4.02 .1931 3 0.92 4.13 .1932 2 0.92 3.91 .1933 2 0.92 4.10 .1934 3 0.92 3.96 .1935 3 0.92 4.43 .1936 1 0.92 4.33 .1937 2 0.92 4.28 .1938 2 0.92 4.23 .1939 2 0.92 4.27 .1940 2 0.92 4.25 .1941 3 0.92 4.45 .1942 2 0.92 4.44 .1943 2 0.92 4.47 .1944 2 0.92 4.48 .1945 2 0.92 4.59 .1946 4 0.92 4.50 .1947 1 0.92 5.14 .1948 1 0.92 4.52 .1949 1 0.92 4.25 .1950 2 0.92 4.65 .1951 2 0.92 4.43 .1952 3 0.92 4.26 .1953 2 0.92 4.37 .1954 1 0.92 4.17 .1955 1 0.92 4.23 .1956 1 0.92 4.27 .1957 2 0.92 4.29 .1958 2 0.92 4.04 .1959 2 0.92 3.87 .1960 2 0.92 3.98 .1961 2 0.92 4.04 .1962 2 0.92 3.90 .1963 1 0.92 3.92 .1964 1 0.92 4.10 .1965 1 0.92 4.15 .1966 2 0.92 4.38 .1967 1 0.92 4.01 .1968 1 0.92 4.30 .1969 1 0.92 4.04 .1970 2 0.92 4.26 .1971 2 0.92 4.14 .1972 2 0.92 4.26 .1973 2 0.92 4.15 .1974 1 0.92 4.06 .1975 1 0.92 4.23 .1976 1 0.92 4.07 .1977 2 0.92 4.16 .1978 2 0.92 4.13 .1979 1 0.92 4.12 .1980 2 0.92 3.99 .1981 1 0.92 4.09 .1982 1 0.92 4.28 .1983 2 0.92 4.09 .1984 2 0.92 4.53 .1985 1 0.92 4.29 .1986 1 0.92 4.00 .1987 1 0.92 4.36 .1988 1 0.92 4.26 .1989 1 0.92 4.12 .1990 1 0.92 4.21 .1991 1 0.92 3.96 .1992 2 0.92 3.99 .1993 2 0.92 3.91 .1994 1 0.92 3.87 .1995 2 0.92 3.87 .1996 2 0.92 4.17 .1997 2 0.92 3.90 .1998 2 0.92 4.02 .1999 1 0.92 3.76 .2000 1 0.92 3.87 .2001 1 0.92 3.97 .2002 2 0.92 3.89 .2003 2 0.92 3.99 .2004 2 0.92 3.98 .2005 2 0.92 4.20 .2006 1 0.92 4.52 .2007 2 0.92 4.45 .2008 2 0.92 3.97 .2009 2 0.92 4.17 .2010 1 0.92 4.37 .2011 1 0.92 3.87 .2012 2 0.92 4.02 .2013 2 0.92 4.09 .2014 1 0.92 4.04 .2015 2 0.92 4.30 .2016 3 0.92 4.01 .2017 1 0.92 4.24 .2018 1 0.92 4.01 .2019 1 0.92 4.03 .2020 2 0.92 4.08 .2021 3 0.92 4.20 .2022 2 0.92 4.03 .2023 2 0.92 4.18 .2024 1 0.92 4.30 .2025 2 0.92 3.97 .2026 1 0.92 4.02 .2027 1 0.92 3.97 .2028 1 0.92 4.30 .2029 2 0.92 4.33 .2030 1 0.92 4.00 .2031 1 0.92 4.05 .2032 2 0.92 3.87 .2033 1 0.92 3.75 .2034 2 0.92 4.34 .2035 2 0.92 3.60 .2036 1 0.92 3.66 .2037 2 0.92 3.99 .2038 2 0.92 3.98 .2039 3 0.92 3.56 .2040 1 0.92 3.66 .2041 3 0.92 3.69 .2042 2 0.92 3.79 .2043 3 0.92 3.60 .2044 1 0.92 3.60 .2045 1 0.92 3.41 .2046 1 0.92 3.55 .2047 1 0.92 3.49 EXTRACT_IMAGE: sdR-r2-00034589.fit: masked 1468 pixels EXTRACT_OBJECT: sdR-r2-00034589.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034589.fit: WARNING: Scattered light median = 118.997 electrons QAPLOT_SCATLIGHT: sdR-r2-00034589.fit: WARNING: Scattered light max = 354.152 electrons EXTRACT_OBJECT: sdR-r2-00034589.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 3 0.95 14.44 .0004 3 0.95 13.94 .0005 2 0.95 13.97 .0006 3 0.95 13.67 .0007 1 0.95 13.60 .0008 1 0.95 13.61 .0009 1 0.95 13.51 .0010 1 0.95 13.69 .0011 2 0.95 13.22 .0012 1 0.95 13.14 .0013 2 0.95 13.76 .0014 1 0.95 13.38 .0015 2 0.95 13.43 .0016 1 0.95 13.15 .0017 3 0.95 14.02 .0018 3 0.95 13.42 .0019 1 0.95 13.33 .0020 1 0.95 13.04 .0021 2 0.95 13.45 .0022 1 0.95 12.68 .0023 2 0.95 12.78 .0024 1 0.95 12.75 .0025 1 0.95 12.88 .0026 1 0.95 12.71 .0027 2 0.95 12.64 .0028 1 0.95 12.84 .0029 2 0.95 12.51 .0030 3 0.95 12.54 .0031 2 0.95 12.32 .0032 2 0.95 12.06 .0033 2 0.95 12.25 .0034 2 0.95 12.33 .0035 2 0.95 12.09 .0036 2 0.95 12.49 .0037 2 0.95 12.03 .0038 2 0.95 12.31 .0039 2 0.95 13.02 .0040 2 0.95 11.90 .0041 2 0.95 12.02 .0042 3 0.95 11.71 .0043 2 0.95 11.81 .0044 2 0.95 12.20 .0045 3 0.95 11.78 .0046 2 0.95 11.52 .0047 2 0.95 11.20 .0048 2 0.95 11.28 .0049 2 0.95 12.06 .0050 2 0.95 11.50 .0051 2 0.95 11.16 .0052 2 0.95 11.24 .0053 2 0.95 11.12 .0054 2 0.95 10.97 .0055 2 0.95 10.91 .0056 2 0.95 11.31 .0057 2 0.95 10.80 .0058 2 0.95 10.70 .0059 2 0.95 11.21 .0060 2 0.95 10.87 .0061 2 0.95 10.77 .0062 2 0.95 10.80 .0063 2 0.95 10.75 .0064 2 0.95 11.03 .0065 2 0.95 11.38 .0066 2 0.95 11.74 .0067 2 0.95 11.80 .0068 2 0.95 10.97 .0069 2 0.95 11.25 .0070 2 0.95 11.82 .0071 3 0.95 11.35 .0072 2 0.95 11.49 .0073 2 0.95 11.63 .0074 2 0.95 11.24 .0075 2 0.95 11.70 .0076 2 0.95 11.35 .0077 3 0.95 11.29 .0078 2 0.95 11.61 .0079 2 0.95 11.47 .0080 2 0.95 11.24 .0081 2 0.95 11.45 .0082 2 0.95 12.04 .0083 2 0.95 11.72 .0084 2 0.95 12.55 .0085 3 0.95 11.02 .0086 3 0.95 11.86 .0087 3 0.95 11.49 .0088 4 0.95 11.36 .0089 3 0.95 11.77 .0090 3 0.95 11.18 .0091 3 0.95 11.27 .0092 3 0.95 11.37 .0093 3 0.95 11.44 .0094 3 0.95 11.69 .0095 3 0.95 11.51 .0096 3 0.95 11.54 .0097 3 0.95 11.54 .0098 3 0.95 11.47 .0099 3 0.95 11.41 .0100 3 0.95 11.83 .0101 3 0.95 11.97 .0102 2 0.95 11.55 .0103 2 0.95 11.95 .0104 2 0.95 11.75 .0105 2 0.95 11.92 .0106 2 0.95 11.76 .0107 2 0.95 11.73 .0108 2 0.95 12.03 .0109 2 0.95 12.35 .0110 2 0.95 12.61 .0111 2 0.95 12.38 .0112 2 0.95 12.16 .0113 2 0.95 12.08 .0114 2 0.95 12.69 .0115 2 0.95 12.32 .0116 2 0.95 12.52 .0117 2 0.95 12.94 .0118 3 0.95 12.55 .0119 3 0.95 12.71 .0120 2 0.95 12.57 .0121 2 0.95 12.54 .0122 2 0.95 12.38 .0123 2 0.95 12.97 .0124 2 0.95 12.79 .0125 2 0.95 12.80 .0126 2 0.95 12.97 .0127 2 0.95 12.78 .0128 2 0.95 13.07 .0129 2 0.95 13.49 .0130 2 0.95 13.20 .0131 2 0.95 13.09 .0132 2 0.95 13.21 .0133 2 0.95 13.23 .0134 2 0.95 13.08 .0135 2 0.95 13.25 .0136 2 0.95 13.21 .0137 2 0.95 13.56 .0138 2 0.95 13.73 .0139 2 0.95 13.73 .0140 2 0.95 14.11 .0141 2 0.95 13.10 .0142 2 0.95 13.83 .0143 2 0.95 13.98 .0144 2 0.95 13.84 .0145 2 0.95 13.79 .0146 2 0.95 13.88 .0147 2 0.95 14.23 .0148 2 0.95 13.87 .0149 2 0.95 14.53 .0150 2 0.95 14.13 .0151 2 0.95 14.22 .0152 2 0.95 14.17 .0153 2 0.95 14.24 .0154 2 0.95 14.46 .0155 2 0.95 14.85 .0156 2 0.95 15.38 .0157 2 0.95 15.06 .0158 2 0.95 16.15 .0159 3 0.95 15.01 .0160 2 0.95 15.05 .0161 2 0.95 15.15 .0162 2 0.95 15.16 .0163 2 0.95 15.92 .0164 2 0.95 15.51 .0165 2 0.95 15.63 .0166 2 0.95 15.18 .0167 2 0.95 15.26 .0168 2 0.95 15.33 .0169 2 0.95 15.25 .0170 2 0.95 15.89 .0171 2 0.95 15.41 .0172 2 0.95 15.46 .0173 2 0.95 15.74 .0174 2 0.95 15.66 .0175 2 0.95 15.64 .0176 2 0.95 15.32 .0177 2 0.95 15.54 .0178 2 0.95 15.80 .0179 2 0.95 15.62 .0180 2 0.95 15.53 .0181 2 0.95 15.55 .0182 2 0.95 15.32 .0183 2 0.95 15.84 .0184 2 0.95 15.47 .0185 2 0.95 15.76 .0186 1 0.95 15.82 .0187 2 0.95 15.83 .0188 1 0.95 16.04 .0189 2 0.95 15.57 .0190 1 0.95 16.01 .0191 1 0.95 16.35 .0192 1 0.95 15.46 .0193 1 0.95 15.87 .0194 1 0.95 15.41 .0195 2 0.95 15.24 .0196 2 0.95 15.37 .0197 2 0.95 15.71 .0198 2 0.95 15.97 .0199 1 0.95 15.52 .0200 2 0.95 15.58 .0201 1 0.95 15.71 .0202 2 0.95 15.13 .0203 2 0.95 15.13 .0204 2 0.95 14.88 .0205 1 0.95 15.47 .0206 2 0.95 15.01 .0207 2 0.95 15.41 .0208 2 0.95 15.55 .0209 2 0.95 14.42 .0210 1 0.95 14.65 .0211 2 0.95 14.75 .0212 1 0.95 14.90 .0213 1 0.95 15.13 .0214 1 0.95 14.61 .0215 1 0.95 15.06 .0216 1 0.95 15.39 .0217 1 0.95 14.98 .0218 1 0.95 14.90 .0219 1 0.95 15.00 .0220 1 0.95 14.73 .0221 2 0.95 14.64 .0222 1 0.95 15.21 .0223 2 0.95 14.57 .0224 1 0.95 14.64 .0225 3 0.95 14.53 .0226 4 0.95 14.50 .0227 1 0.95 14.49 .0228 1 0.95 14.16 .0229 1 0.95 14.80 .0230 2 0.95 14.42 .0231 2 0.95 15.27 .0232 1 0.95 14.69 .0233 1 0.95 14.62 .0234 1 0.95 14.64 .0235 1 0.95 14.85 .0236 1 0.95 15.13 .0237 1 0.95 14.88 .0238 1 0.95 14.81 .0239 1 0.95 14.56 .0240 2 0.95 14.66 .0241 1 0.95 14.85 .0242 1 0.95 15.66 .0243 1 0.95 15.42 .0244 1 0.95 14.77 .0245 2 0.95 15.19 .0246 1 0.95 15.00 .0247 1 0.95 14.90 .0248 2 0.95 14.96 .0249 1 0.95 15.13 .0250 1 0.95 15.30 .0251 1 0.95 15.77 .0252 2 0.95 15.81 .0253 1 0.95 15.64 .0254 1 0.95 15.55 .0255 2 0.95 15.87 .0256 2 0.95 15.38 .0257 1 0.95 15.79 .0258 1 0.95 15.41 .0259 1 0.95 15.66 .0260 1 0.95 15.60 .0261 1 0.95 16.09 .0262 2 0.95 16.51 .0263 2 0.95 16.55 .0264 2 0.95 15.88 .0265 2 0.95 16.05 .0266 1 0.95 15.96 .0267 2 0.95 16.09 .0268 1 0.95 16.15 .0269 1 0.95 16.13 .0270 1 0.95 16.37 .0271 1 0.95 16.83 .0272 1 0.95 16.33 .0273 1 0.95 16.26 .0274 1 0.95 16.44 .0275 1 0.95 16.50 .0276 1 0.95 16.93 .0277 1 0.95 16.88 .0278 1 0.95 17.67 .0279 2 0.95 17.24 .0280 2 0.95 17.77 .0281 1 0.95 17.03 .0282 3 0.95 17.17 .0283 1 0.95 17.17 .0284 1 0.95 17.54 .0285 1 0.95 17.23 .0286 1 0.95 17.60 .0287 1 0.95 17.60 .0288 1 0.95 17.82 .0289 2 0.95 18.13 .0290 1 0.95 18.26 .0291 1 0.95 17.45 .0292 2 0.95 17.66 .0293 1 0.95 18.43 .0294 1 0.95 18.02 .0295 2 0.95 18.33 .0296 2 0.95 18.07 .0297 1 0.95 18.14 .0298 2 0.95 17.89 .0299 2 0.95 17.71 .0300 2 0.95 17.48 .0301 2 0.95 17.64 .0302 2 0.95 18.14 .0303 1 0.95 19.01 .0304 2 0.95 18.64 .0305 3 0.95 17.59 .0306 3 0.95 17.57 .0307 2 0.95 18.18 .0308 2 0.95 17.71 .0309 2 0.95 17.02 .0310 2 0.95 18.88 .0311 3 0.95 17.80 .0312 2 0.95 17.12 .0313 2 0.95 16.97 .0314 2 0.95 17.53 .0315 2 0.95 17.44 .0316 2 0.95 17.25 .0317 2 0.95 17.99 .0318 2 0.95 17.29 .0319 2 0.95 17.38 .0320 2 0.95 17.51 .0321 2 0.95 17.30 .0322 2 0.95 17.43 .0323 2 0.95 17.35 .0324 2 0.95 17.40 .0325 2 0.95 17.25 .0326 2 0.95 17.52 .0327 2 0.95 17.66 .0328 2 0.95 17.70 .0329 2 0.95 18.37 .0330 2 0.95 17.43 .0331 2 0.95 17.61 .0332 2 0.95 17.18 .0333 2 0.95 17.12 .0334 2 0.95 17.49 .0335 2 0.95 17.47 .0336 2 0.95 17.68 .0337 2 0.95 17.50 .0338 2 0.95 17.22 .0339 2 0.95 17.55 .0340 2 0.95 17.14 .0341 2 0.95 16.94 .0342 2 0.95 16.69 .0343 3 0.95 16.72 .0344 2 0.95 17.47 .0345 2 0.95 17.03 .0346 2 0.94 16.91 .0347 2 0.94 17.00 .0348 2 0.94 17.03 .0349 3 0.94 17.12 .0350 2 0.94 17.08 .0351 2 0.94 16.63 .0352 2 0.94 16.78 .0353 2 0.94 17.24 .0354 2 0.94 17.73 .0355 2 0.94 17.06 .0356 2 0.94 17.26 .0357 2 0.94 16.99 .0358 2 0.94 17.29 .0359 2 0.94 16.55 .0360 2 0.94 16.93 .0361 2 0.94 17.13 .0362 2 0.94 16.87 .0363 2 0.94 17.19 .0364 2 0.94 16.87 .0365 2 0.94 17.16 .0366 2 0.94 17.19 .0367 2 0.94 17.26 .0368 2 0.94 17.90 .0369 2 0.94 17.53 .0370 2 0.94 17.19 .0371 2 0.94 17.37 .0372 2 0.94 17.44 .0373 2 0.94 17.27 .0374 2 0.94 17.22 .0375 3 0.94 16.75 .0376 3 0.94 16.94 .0377 3 0.94 17.30 .0378 3 0.94 16.76 .0379 3 0.94 16.59 .0380 3 0.94 17.00 .0381 3 0.94 16.42 .0382 3 0.94 16.62 .0383 3 0.94 17.46 .0384 3 0.94 16.87 .0385 3 0.94 16.63 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15.15 .0439 2 0.94 15.13 .0440 2 0.94 15.04 .0441 2 0.94 15.06 .0442 2 0.94 14.65 .0443 2 0.94 15.12 .0444 2 0.94 15.20 .0445 2 0.94 15.07 .0446 2 0.94 15.31 .0447 3 0.94 15.05 .0448 2 0.94 15.64 .0449 2 0.94 15.62 .0450 2 0.94 15.06 .0451 2 0.94 14.97 .0452 2 0.94 15.07 .0453 2 0.94 15.05 .0454 2 0.94 15.28 .0455 2 0.94 15.10 .0456 2 0.94 15.53 .0457 2 0.94 15.30 .0458 2 0.94 15.95 .0459 3 0.94 15.50 .0460 2 0.94 15.34 .0461 2 0.94 14.85 .0462 3 0.94 14.62 .0463 2 0.94 15.35 .0464 2 0.94 14.81 .0465 2 0.94 14.25 .0466 2 0.94 15.10 .0467 2 0.94 14.41 .0468 2 0.94 14.43 .0469 2 0.94 14.87 .0470 2 0.94 14.74 .0471 2 0.94 14.93 .0472 2 0.94 15.05 .0473 2 0.94 14.60 .0474 2 0.94 14.89 .0475 2 0.94 15.04 .0476 2 0.94 14.92 .0477 2 0.94 14.50 .0478 2 0.94 14.56 .0479 2 0.94 14.96 .0480 3 0.94 14.36 .0481 2 0.94 14.67 .0482 2 0.94 14.80 .0483 2 0.94 14.61 .0484 2 0.94 14.05 .0485 2 0.94 14.47 .0486 2 0.94 14.14 .0487 2 0.94 14.76 .0488 2 0.94 14.45 .0489 2 0.94 14.94 .0490 2 0.94 14.67 .0491 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3 0.92 4.66 .1856 2 0.92 4.71 .1857 3 0.92 4.83 .1858 2 0.92 4.83 .1859 1 0.92 4.83 .1860 1 0.92 4.82 .1861 1 0.92 5.11 .1862 2 0.92 5.10 .1863 1 0.92 5.09 .1864 1 0.92 5.12 .1865 2 0.92 5.06 .1866 2 0.92 4.95 .1867 2 0.92 5.22 .1868 2 0.92 4.92 .1869 2 0.92 4.99 .1870 2 0.92 5.19 .1871 3 0.92 5.07 .1872 2 0.92 5.10 .1873 2 0.92 4.95 .1874 2 0.92 4.92 .1875 2 0.92 4.88 .1876 2 0.92 4.84 .1877 3 0.92 4.82 .1878 3 0.92 5.24 .1879 3 0.92 4.83 .1880 1 0.92 4.76 .1881 1 0.92 4.90 .1882 2 0.92 4.74 .1883 3 0.92 4.91 .1884 3 0.92 4.77 .1885 2 0.92 4.64 .1886 2 0.92 4.61 .1887 4 0.92 4.63 .1888 3 0.92 5.02 .1889 3 0.92 5.01 .1890 2 0.92 4.78 .1891 2 0.92 4.87 .1892 1 0.92 4.65 .1893 3 0.92 4.89 .1894 2 0.92 4.84 .1895 1 0.92 4.75 .1896 1 0.92 4.76 .1897 1 0.92 4.62 .1898 1 0.92 4.69 .1899 2 0.92 4.57 .1900 2 0.92 4.74 .1901 1 0.92 4.54 .1902 2 0.92 4.64 .1903 2 0.92 4.68 .1904 1 0.92 4.55 .1905 1 0.92 4.45 .1906 1 0.92 4.54 .1907 1 0.92 4.56 .1908 1 0.92 4.37 .1909 3 0.92 4.38 .1910 1 0.92 4.40 .1911 1 0.92 4.26 .1912 1 0.92 4.21 .1913 1 0.92 4.29 .1914 2 0.92 4.13 .1915 3 0.92 4.11 .1916 2 0.92 4.41 .1917 3 0.92 4.22 .1918 4 0.92 4.45 .1919 2 0.92 4.30 .1920 2 0.92 4.19 .1921 1 0.92 3.94 .1922 2 0.92 4.07 .1923 2 0.92 3.98 .1924 2 0.92 4.08 .1925 2 0.92 4.13 .1926 2 0.92 4.26 .1927 1 0.92 4.16 .1928 1 0.92 4.11 .1929 1 0.92 4.14 .1930 3 0.92 4.22 .1931 4 0.92 4.23 .1932 2 0.92 4.06 .1933 2 0.92 4.17 .1934 2 0.92 4.26 .1935 4 0.92 4.24 .1936 1 0.92 4.48 .1937 2 0.92 4.45 .1938 2 0.92 4.36 .1939 2 0.92 4.41 .1940 2 0.92 4.35 .1941 3 0.92 4.59 .1942 2 0.92 4.54 .1943 2 0.92 4.49 .1944 3 0.92 4.35 .1945 2 0.92 4.70 .1946 3 0.92 4.59 .1947 2 0.92 4.57 .1948 2 0.92 4.49 .1949 1 0.92 4.27 .1950 3 0.92 4.54 .1951 2 0.92 4.50 .1952 3 0.92 4.41 .1953 2 0.92 4.46 .1954 1 0.92 4.34 .1955 1 0.92 4.29 .1956 2 0.92 4.20 .1957 2 0.92 4.35 .1958 2 0.92 4.25 .1959 2 0.92 4.12 .1960 2 0.92 4.14 .1961 2 0.92 4.19 .1962 2 0.92 4.10 .1963 2 0.92 4.08 .1964 1 0.92 4.22 .1965 2 0.92 4.10 .1966 3 0.92 4.24 .1967 1 0.92 4.17 .1968 1 0.92 4.46 .1969 1 0.92 4.20 .1970 3 0.92 4.13 .1971 2 0.92 4.06 .1972 3 0.92 4.41 .1973 2 0.92 4.24 .1974 1 0.92 4.15 .1975 1 0.92 4.31 .1976 1 0.92 4.18 .1977 2 0.92 4.26 .1978 2 0.92 4.27 .1979 1 0.92 4.25 .1980 2 0.92 4.10 .1981 1 0.92 4.15 .1982 1 0.92 4.40 .1983 2 0.92 4.17 .1984 2 0.92 4.42 .1985 2 0.92 4.14 .1986 1 0.92 4.18 .1987 2 0.92 4.35 .1988 1 0.92 4.36 .1989 1 0.92 4.26 .1990 1 0.92 4.30 .1991 1 0.92 4.14 .1992 2 0.92 4.12 .1993 2 0.92 3.99 .1994 1 0.92 4.08 .1995 2 0.92 4.04 .1996 2 0.92 4.30 .1997 2 0.92 4.12 .1998 2 0.92 4.12 .1999 1 0.92 3.91 .2000 1 0.92 3.99 .2001 1 0.92 4.04 .2002 2 0.92 3.96 .2003 5 0.92 4.14 .2004 2 0.92 4.11 .2005 2 0.92 4.34 .2006 1 0.92 4.62 .2007 3 0.92 4.15 .2008 2 0.92 4.16 .2009 3 0.92 4.21 .2010 2 0.92 4.40 .2011 1 0.92 4.07 .2012 2 0.92 4.19 .2013 3 0.92 4.09 .2014 1 0.92 4.21 .2015 2 0.92 4.37 .2016 3 0.92 4.20 .2017 1 0.92 4.41 .2018 1 0.92 4.19 .2019 1 0.92 4.15 .2020 2 0.92 4.23 .2021 3 0.92 4.37 .2022 2 0.92 4.17 .2023 2 0.92 4.18 .2024 2 0.92 4.28 .2025 2 0.92 3.97 .2026 2 0.92 3.98 .2027 1 0.92 4.08 .2028 2 0.92 4.27 .2029 2 0.92 4.47 .2030 3 0.92 4.11 .2031 1 0.92 4.18 .2032 3 0.92 3.91 .2033 2 0.92 3.87 .2034 3 0.92 3.90 .2035 2 0.92 3.84 .2036 1 0.92 3.86 .2037 3 0.92 3.78 .2038 3 0.92 4.14 .2039 2 0.92 3.72 .2040 1 0.92 3.85 .2041 3 0.92 3.78 .2042 2 0.92 3.82 .2043 5 0.92 3.73 .2044 2 0.92 3.66 .2045 1 0.92 3.56 .2046 1 0.92 3.64 .2047 2 0.92 3.52 EXTRACT_IMAGE: sdR-r2-00034589.fit: masked 2053 pixels DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 394 low points in trace 54 DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 425 low points in trace 184 DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 338 low points in trace 224 DIVIDEFLAT: sdR-r2-00034589.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034589.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 741 low points in trace 276 DIVIDEFLAT: sdR-r2-00034589.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034589.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034589.fit: Warning: Reject 455 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034589.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 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314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034589.fit: WARNING: sky shift reference line, sigma 7794.1200 0.18344527 LOCATESKYLINES_2: sdR-r2-00034589.fit: sky shift reference line, offset: 7794.1200 -0.037995164 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 0 11.899927 52.742876 -0.15741039 1.0747249 2175.9674 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 6 2.6080611 -338.71986 -0.17172434 1.0187967 2193.1888 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 13 4.8234414 -242.17398 -0.18588035 0.98814698 2191.3490 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 18 4.5239458 -284.70064 -0.15963239 0.98818644 2185.1488 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 26 7.2474120 17.159319 -0.12608489 0.99109670 2427.2318 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 52 6.6276133 -244.21586 -0.10506833 0.99238420 2198.7880 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 60 3.9100239 -182.47266 -0.16926613 1.0142120 2237.8772 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 63 4.6762107 -232.93723 -0.17015864 0.98565968 2243.4475 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 82 7.5810897 -226.65238 -0.13165119 1.0280546 2214.1665 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 84 2.5978266 -353.32846 -0.14742290 0.97832983 2217.4681 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 109 8.7595673 -338.30530 -0.15874983 0.98704148 2221.7479 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 114 5.8812625 -307.03507 -0.15933365 0.98464878 2253.2105 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 131 9.2556910 -232.65120 -0.10395767 0.98582318 2322.9474 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 153 7.5930183 95.724428 -0.11869654 0.97874192 2313.7391 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 176 19.267752 135.72325 -0.095783327 0.95898213 2322.9576 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 180 22.773401 125.46941 -0.13642911 0.92212397 2435.0256 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 184 20.512113 159.08946 -0.14315563 0.95891431 2318.3320 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 185 15.440546 72.221807 -0.15162112 1.0105235 2302.9793 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 186 8.0224754 86.409953 -0.16195933 0.98779139 2255.3376 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 201 16.998994 99.264515 -0.13356152 0.99752693 2201.4458 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 204 12.703606 127.31299 -0.11865740 1.0035800 2267.0356 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 206 11.695375 159.46665 -0.12901979 0.97236615 2353.5878 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 213 15.888236 103.95001 -0.12399208 0.92078769 2365.3248 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 235 5.5565141 -13.583525 -0.11112303 0.95892786 2349.4489 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 257 15.562948 55.316151 -0.14710104 0.94377303 2378.5706 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 259 9.5161863 219.10659 -0.12812605 0.93926337 2416.1130 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 260 4.5211073 5.5545009 -0.11129604 1.0363780 2221.3239 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 261 10.793140 143.79471 -0.14337317 0.96384218 2250.8206 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 265 10.980191 107.46873 -0.16584424 0.93778122 2337.5216 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 271 15.371867 93.809022 -0.13057997 0.94474946 2376.7495 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 276 9.2011819 40.813764 -0.17636817 0.97923881 2246.7509 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 281 5.7541859 -75.278258 -0.13997537 0.97176594 2333.1861 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 284 15.501747 -67.627348 -0.16600003 0.96883391 2294.6344 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 307 4.8735442 -7.0342929 -0.13883993 0.95989088 2371.7808 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 0 308 11.696008 106.43413 -0.13721144 0.97432789 2392.8317 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 0 6.3464456 0.00028223411 -0.14043825 0.97480271 0.99991302 LOCATESKYLINES_2: sdR-r2-00034589.fit: sigma-clipped to 280 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034589.fit: comb2 l,chi^2/dof,fit: 0 3.7083149 -0.0020965087 -0.13966663 0.98635295 0.99230242 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 280 of 315 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.177662-0.1396670.003892 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 0 2.9279915 60.497669 -0.11459536 0.95244011 734.55768 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 6 0.30053361 -412.64508 -0.084164993 1.2023428 668.28520 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 13 3.1374066 -326.96726 -0.19901595 0.99567865 653.57273 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 18 2.2592964 -361.25495 -0.10647353 1.0163398 701.95337 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 26 2.4624994 -59.103060 -0.12168360 0.90779557 725.74446 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 52 2.9509776 -319.12515 -0.10335655 1.0425289 693.91820 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 60 0.17875214 -248.26250 -0.040368081 0.96137544 726.33378 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 63 1.0948244 -342.22177 -0.18137259 1.0483991 802.72975 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 82 0.77176069 -247.25816 -0.16966365 1.0424701 702.30819 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 84 Infinity 2.0011271e-33 -1.6434214e-08 1.0000000 0.0000000 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 109 3.2261409 -368.25783 -0.14873964 0.99349623 673.35332 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 114 2.2127302 -371.97037 -0.11344248 0.94790976 666.13056 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 131 1.9109015 -290.05104 -0.13683194 0.95545645 722.81918 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 153 2.0120860 16.270936 -0.13431679 1.0408572 731.08200 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 176 2.5621402 77.908817 -0.13462777 0.97206320 744.10353 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 180 2.9829021 50.054476 -0.096377287 0.93866021 777.74922 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 184 3.9386217 110.54633 -0.050831391 0.94912275 760.38178 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 185 6.3253110 61.427802 -0.088638742 1.0131762 695.87101 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 186 2.9247404 49.178929 -0.091276394 1.0270107 695.05799 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 201 3.7690775 12.679533 -0.11078236 0.98884053 744.35641 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 204 2.1516182 72.684744 -0.13791112 0.90515853 702.19705 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 206 1.0728168 26.522695 -0.14047776 1.1120693 752.15699 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 213 0.91116912 31.319586 -0.098710946 0.97376013 725.06445 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 235 1.1549884 -86.198840 -0.081579851 1.1404028 693.73380 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 257 1.4411532 36.575300 -0.14811110 0.95505477 765.62510 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 259 0.93215124 153.70575 -0.17860854 0.97586652 748.75350 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 260 0.77611506 -35.496877 -0.16200649 1.0379994 769.37951 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 261 0.85671245 28.341547 -0.18191783 1.0473838 738.45657 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 265 3.1762427 38.627655 -0.21041162 0.96956513 721.96446 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 271 2.7275948 0.73179566 -0.13657001 1.0198118 770.73250 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 276 1.0757005 -3.4763532 -0.14903748 0.98316027 742.68451 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 281 1.6979557 -99.192679 -0.11053476 0.98154118 717.57391 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 284 0.94963018 -110.45907 -0.21961421 1.0165874 711.09251 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 307 0.16553394 -52.570180 -0.10658297 1.0043439 721.24436 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 1 308 1.1610376 70.843906 -0.037059749 1.0788378 719.63707 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 1 1.4399127 0.0013828755 -0.12712580 0.99646865 0.99832410 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.165121-0.1271260.008591 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 0 1.5174252 23.724494 -0.44012577 0.60000000 91.996608 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 6 -0.25000000 -535.75702 0.0000000 1.0000000 -385.00769 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 13 -0.25000000 -524.43011 0.0000000 1.0000000 -280.14682 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 18 -0.25000000 -479.94382 0.0000000 1.0000000 -239.83829 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 26 1.1106743 -86.881375 -0.015509316 0.60000000 183.14142 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 52 -0.25000000 -379.39584 0.0000000 1.0000000 -171.67610 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 60 -0.25000000 -342.70786 0.0000000 1.0000000 -131.95692 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 63 -0.25000000 -381.17310 0.0000000 1.0000000 -234.47427 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 82 -0.25000000 -325.90833 0.0000000 1.0000000 -170.66139 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 84 -0.25000000 -455.38776 0.0000000 1.0000000 -328.48099 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 109 -0.25000000 -442.69165 0.0000000 1.0000000 -283.65451 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 114 -0.25000000 -383.76816 0.0000000 1.0000000 -42.914677 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 131 -0.25000000 -336.53210 0.0000000 1.0000000 -167.33664 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 153 1.3647197 21.559377 -0.23457658 0.94937521 110.50088 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 176 1.9811765 70.929653 -0.23436012 0.60000000 89.229865 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 180 3.7881413 47.272854 -0.47853594 0.68350094 162.21859 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 184 1.9309890 76.747771 -0.14984604 0.95845704 137.01778 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 185 3.7202905 41.303903 -0.54574180 0.60000000 157.73018 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 186 3.3398993 45.771039 -0.40180559 0.73468904 147.51027 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 201 4.0578449 48.112493 -0.17256843 0.60000000 144.35093 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 204 5.5850755 59.434795 -0.53698949 0.60000000 67.846668 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 206 3.8610286 54.615510 -0.072732931 0.75232298 141.45154 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 213 6.3745473 59.461367 -0.12701727 0.60000000 138.58136 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 235 2.8659810 -29.894365 -0.25936181 0.73212658 155.73648 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 257 4.2553710 72.823555 -0.78407805 0.74375668 103.66880 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 259 2.9829356 154.68221 -1.0000000 2.0000000 82.693184 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 260 0.55692135 -60.614861 -0.16903476 1.5193087 148.21579 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 261 0.50887872 37.644781 -0.41726660 0.81803580 147.95153 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 265 0.26069678 22.290529 -0.46701069 0.82309472 138.23191 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 271 1.9576003 14.042405 -0.24078765 0.60080844 143.43205 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 276 2.3323656 -70.137294 -1.0000000 1.7707721 145.76295 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 281 1.7078189 -110.90909 -0.28865220 0.83408067 135.61448 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 284 3.6248115 -82.789063 -0.0040022964 0.60000000 69.999970 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 307 3.0298762 -73.386848 -0.20502031 0.98929181 131.51024 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 2 308 0.74311612 135.05460 -1.0000000 0.60000000 114.90898 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 2 0.56881435 0.0076464504 -0.32718252 0.84986659 0.94866311 LOCATESKYLINES_2: sdR-r2-00034589.fit: sigma-clipped to 116 of 117 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034589.fit: comb2 l,chi^2/dof,fit: 2 0.51307993 -0.0010353070 -0.32633057 0.86018996 0.95513819 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 116 of 117 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.364326-0.3263310.055113 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 0 0.60342843 8.8868272 -0.33007844 0.88924054 255.93144 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 6 -0.25000000 -537.27777 0.0000000 1.0000000 -325.76614 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 13 -0.25000000 -454.45218 0.0000000 1.0000000 -183.04472 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 18 -0.25000000 -484.44196 0.0000000 1.0000000 -140.77281 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 26 0.47792540 -70.897037 -0.25731781 1.0391001 274.35470 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 52 -0.25000000 -475.97406 0.0000000 1.0000000 -205.36253 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 60 -0.25000000 -350.57169 0.0000000 1.0000000 -54.040730 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 63 -0.25000000 -405.07877 0.0000000 1.0000000 -165.01770 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 82 -0.25000000 -286.32941 0.0000000 1.0000000 -16.142454 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 84 -0.25000000 -396.28000 0.0000000 1.0000000 -132.14442 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 109 -0.25000000 -375.95190 0.0000000 1.0000000 -81.808708 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 114 -0.25000000 -340.43900 0.0000000 1.0000000 -101.70621 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 131 1.2088370 -153.78750 -0.15966792 0.66869784 237.38955 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 153 2.1185037 64.407088 0.18750784 1.2392478 228.41507 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 176 3.6148969 50.993753 -0.39296184 1.0268875 300.59498 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 180 0.54799120 47.353781 -0.13043173 1.1177925 267.35719 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 184 1.7486532 89.930685 -0.14527587 0.89251081 195.96594 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 185 0.76677820 35.516119 -0.17370219 1.0407726 233.21763 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 186 0.67300454 19.253292 0.0096683635 1.0988552 228.69197 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 201 2.1253160 43.441225 -0.25264176 0.96189792 225.87728 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 204 0.43834061 83.345506 0.030868069 0.88774736 267.55751 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 206 0.11524443 126.06015 -0.32436764 1.1199879 204.53259 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 213 1.2038920 82.773540 0.13270289 0.99332184 257.39579 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 235 1.4875935 -19.377192 -0.12524969 0.73392673 224.32471 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 257 2.9169436 36.798931 -0.33156293 0.99499745 246.19688 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 259 0.28216109 155.59723 -0.28282578 0.87772575 246.36833 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 260 1.1572115 -22.138664 -0.17059242 0.88982867 225.60085 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 261 2.7340266 69.345303 -0.12873877 0.88416199 179.18924 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 265 2.1689012 14.901196 -0.14494512 0.94316346 247.71819 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 271 1.7089040 0.060430400 0.078370770 0.95703861 252.73169 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 276 0.80232997 -35.291131 -0.074224851 0.85830077 232.69792 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 281 0.76547544 -98.688587 -0.18855596 1.0798013 215.27010 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 284 2.1752344 -124.89875 -0.34602798 0.95883683 207.81045 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 307 1.4567509 -102.18896 -0.25792081 1.1119859 260.31225 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 3 308 0.19268131 136.19591 -0.10120297 0.79404253 311.97062 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 3 0.73305868 0.0027782170 -0.16634597 0.98163825 0.97709634 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 225 of 225 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.204341-0.1663460.027441 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 0 1.2761672 28.400464 -0.12495714 0.93524665 294.74486 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 6 -0.25000000 -507.30200 0.0000000 1.0000000 -253.74870 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 13 -0.25000000 -476.90244 0.0000000 1.0000000 -146.64302 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 18 -0.25000000 -495.49258 0.0000000 1.0000000 -141.75858 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 26 1.5566532 -65.837882 -0.0015043260 0.60000000 278.48515 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 52 -0.25000000 -445.95383 0.0000000 1.0000000 -111.81582 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 60 -0.25000000 -309.85760 0.0000000 1.0000000 -52.129948 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 63 27.811467 -281.39861 -0.30062071 0.60850175 203.42626 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 82 2.9429619 -202.80853 -0.13318139 0.90171494 243.62065 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 84 -0.25000000 -413.59482 0.0000000 1.0000000 -132.62981 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 109 -0.25000000 -352.85074 0.0000000 1.0000000 -72.712212 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 114 -0.25000000 -375.18430 0.0000000 1.0000000 -29.734140 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 131 1.1854029 -194.90238 -0.044260381 0.97118826 270.26044 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 153 0.46631948 135.74618 0.075007019 0.87544686 257.86465 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 176 0.58247128 48.314820 -0.017489689 1.2434954 255.39420 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 180 2.8317357 53.233744 -0.20735824 0.88375634 300.45684 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 184 2.6577430 70.402882 -0.047168185 1.0060195 269.53778 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 185 2.0637712 36.851115 -0.093568795 1.0325387 307.20338 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 186 3.4181667 29.472159 -0.13101748 0.87017687 270.66589 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 201 1.3656151 32.217414 -0.13102724 0.85520667 362.97122 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 204 1.8878379 74.181016 -0.0016179094 1.0199454 237.36915 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 206 1.6021052 109.22709 -0.21765023 0.94725122 303.70879 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 213 0.57063922 128.08931 0.077675945 0.80360958 230.86806 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 235 0.84282074 -47.404335 0.011511809 0.86799809 367.77916 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 257 0.60818586 48.473397 0.060131734 0.99230972 255.13519 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 259 0.50739831 166.26872 -0.067324740 0.89357168 237.02749 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 260 3.3860275 25.989122 0.63235120 1.7513865 194.34152 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 261 0.96889259 74.599850 0.15310727 0.97204931 268.33831 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 265 1.9503398 25.001368 -0.13443838 1.1650003 263.38650 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 271 0.64350959 -4.6539411 -0.11591344 1.0468097 275.87511 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 276 0.33051916 -35.177112 -0.24619292 0.97105144 250.72950 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 281 3.6981983 -76.077549 -0.18645991 0.89353619 267.14317 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 284 0.57453691 -118.98982 -0.16779657 0.86362832 244.93345 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 307 0.94008284 -41.165678 -0.036839830 0.78377050 231.67720 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 4 308 0.81458490 140.08747 -0.25578085 1.0416499 230.92220 LOCATESKYLINES_2: sdR-r2-00034589.fit: trimmed 1high points: 0.16106509 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 4 1.3284661 0.0082855906 -0.088331141 0.94491166 0.98304414 LOCATESKYLINES_2: sdR-r2-00034589.fit: sigma-clipped to 231 of 233 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034589.fit: comb2 l,chi^2/dof,fit: 4 0.91947979 0.0013617595 -0.089432478 0.95061687 0.98974307 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 231 of 233 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.127428-0.0894320.024257 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 0 0.58599728 47.109749 0.052089015 0.98883508 396.31143 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 6 -0.25000000 -512.35828 0.0000000 1.0000000 -113.41647 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 13 3.0955726 -228.47050 -0.096945896 1.0073522 326.54699 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 18 -0.25000000 -393.35977 0.0000000 1.0000000 -27.088459 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 26 0.85145853 -57.364291 0.068841086 1.0020953 365.10806 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 52 0.85909203 -348.48388 -0.078212884 1.0094065 412.99472 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 60 1.7356496 -258.71490 0.0042505123 0.83227627 411.55198 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 63 -0.25000000 -413.33203 0.0000000 1.0000000 -14.468246 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 82 0.63957135 -154.17242 -0.029458400 1.0117070 328.32526 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 84 1.0987933 -286.36755 -0.32236250 0.92013388 327.96111 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 109 0.84070173 -229.73680 -0.016715971 1.0485407 420.03281 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 114 0.59257581 -199.58496 0.017467914 0.94008511 337.02856 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 131 0.64183119 -106.31325 -0.081541142 1.1326352 397.52301 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 153 2.0616178 116.46730 -0.032245599 1.0066560 425.90253 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 176 1.9701493 72.445010 0.075171164 1.1189765 386.99703 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 180 0.86828617 64.389700 -0.038124564 1.0564518 395.73310 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 184 2.0015870 92.915178 -0.35987684 1.0494247 353.44416 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 185 0.75861150 41.323538 -0.047945763 0.99484595 381.13900 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 186 1.2364140 49.683925 -0.10099690 1.0679467 416.16128 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 201 1.3031328 97.584687 -0.15981896 0.98776167 352.08556 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 204 1.8090193 117.59981 -0.28651280 0.87835202 355.00070 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 206 0.062978322 -2.9978515 1.0000000 0.60000000 1543.4183 LOCATESKYLINES_2: sdR-r2-00034589.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 213 1.1820164 102.70364 0.019429244 1.2880073 380.86013 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 235 1.1156587 24.203197 -0.099007658 0.89308261 379.79106 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 257 0.38845372 68.630832 -0.074664279 1.2187612 346.34985 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 259 0.76422129 178.46624 -0.025288351 0.93593822 369.60752 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 260 0.57820545 20.047878 -0.24554586 1.2471544 405.18848 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 261 2.5330074 70.581365 -0.16208504 1.0293178 404.74731 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 265 0.66839351 42.742219 -0.16168165 0.99545565 375.57207 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 271 0.63031959 66.531397 -0.14208750 0.66370208 433.34738 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 276 0.29689894 39.992807 -0.21310900 0.79717237 358.14849 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 281 0.20472183 -45.101305 -0.19129042 0.86244290 355.98446 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 284 1.1706936 -64.629777 -0.091071191 1.0405247 347.98521 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 307 3.2436494 -43.897279 0.076880143 1.0817079 413.82704 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 5 308 1.9144136 291.79926 -0.36347384 1.0041368 394.37061 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 5 0.99662917 0.0043530415 -0.097485285 1.0086823 0.98169836 LOCATESKYLINES_2: sdR-r2-00034589.fit: sigma-clipped to 278 of 279 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034589.fit: comb2 l,chi^2/dof,fit: 5 0.91810246 0.0031569780 -0.085977542 1.0212266 0.98144031 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 278 of 279 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.123973-0.0859780.019023 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 0 1.5939276 28.383534 -0.11237595 0.87815349 823.99380 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 6 2.0394009 -545.15546 -0.27083650 1.0407106 826.13788 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 13 0.40844677 -378.95265 -0.14973720 1.1665359 673.26350 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 18 1.9522673 -519.58251 0.041606681 1.0319829 917.66526 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 26 2.2231076 -97.530555 -0.26493694 0.93615023 791.69066 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 52 2.0117268 -389.67376 -0.17829258 0.91628260 787.06750 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 60 0.24510631 -335.12632 -0.19539907 1.1268991 780.08247 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 63 0.29013025 -378.75179 -0.20979864 0.96351356 782.39374 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 82 0.77791710 -211.43038 -0.030040415 1.2010007 749.00918 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 84 2.1949754 -351.62181 -0.23770578 1.0016537 701.18853 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 109 1.3457419 -232.70632 -0.25368832 0.89733602 864.75602 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 114 0.94864719 -238.93189 -0.19624122 1.0686019 841.40349 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 131 0.67851954 -85.097437 -0.16491618 0.92385751 816.11454 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 153 1.6689541 129.59417 -0.22611511 0.96952192 812.56179 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 176 1.3932589 58.232398 -0.21459622 0.91697552 836.76177 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 180 2.5936578 84.562376 -0.28433129 0.96419869 775.55293 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 184 2.2140398 60.392571 -0.21661468 0.98380239 736.28789 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 185 3.2927194 45.969008 -0.11993840 0.97604766 775.12373 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 186 0.15004262 67.416699 -0.34500211 0.94918454 701.97395 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 201 0.53642797 84.246039 -0.28327954 0.97655393 735.11613 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 204 1.1389079 153.92754 -0.20346465 0.88991806 751.53029 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 206 1.5360320 149.55154 -0.19076034 0.95322152 772.37649 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 213 0.55241718 125.88862 -0.25916280 0.98631856 774.51202 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 235 0.84708902 -4.7950040 -0.16716035 0.94820846 814.14280 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 257 1.9805058 84.381339 -0.25570536 1.0257984 696.00049 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 259 3.3517715 160.25769 -0.21078046 0.95101270 784.86615 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 260 0.37385153 40.791354 -0.10375723 0.96758024 746.68015 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 261 1.5213815 74.009792 -0.20005373 1.0842975 669.83504 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 265 1.6120670 69.042352 -0.22465501 1.0023218 682.38489 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 271 1.1767668 61.165970 -0.27807786 0.90302819 766.46046 LOCATESKYLINES_2: sdR-r2-00034589.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 281 2.2962746 -52.000471 -0.12965516 1.1350422 712.28347 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 284 2.0145478 -41.410719 -0.33939723 0.95757806 726.80467 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 307 2.8483242 -61.081302 -0.21859292 0.92504383 810.13679 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 6 308 2.5247212 269.62345 -0.18963924 1.1646990 597.11633 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 6 1.2983040 0.0018514516 -0.20665291 0.97608927 0.99489188 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.244648-0.2066530.010155 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 0 0.067694817 40.472263 -0.18281475 0.78529668 1001.5261 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 6 0.69569666 -579.55551 -0.14835006 1.0084605 963.68639 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 13 1.2655590 -460.71174 -0.21983866 0.86273040 915.42774 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 18 1.4019695 -474.16215 -0.10326239 0.93990894 956.72845 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 26 1.5701999 -105.37761 -0.14365221 1.0122553 873.61638 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 52 2.2736628 -383.45399 -0.092597015 0.94471299 877.16584 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 60 1.8341477 -338.24327 -0.14593581 1.0454798 941.54017 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 63 2.9549068 -355.28217 -0.28151393 0.91881416 962.57750 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 82 2.3983342 -140.70169 -0.077968918 0.77493033 940.95154 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 84 1.7351681 -352.62000 -0.29890014 0.98648450 882.37411 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 109 2.0183443 -196.97621 -0.24699451 1.0045812 862.01146 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 114 1.6187379 -223.41648 -0.074085185 0.88536247 949.70547 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 131 1.5860805 -143.43407 -0.15175820 0.98749981 831.26360 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 153 3.6247363 112.90071 -0.24040091 1.0012127 920.89163 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 176 0.51096804 59.714983 -0.14299146 0.96965273 914.46540 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 180 5.1497554 32.898435 -0.15973787 0.92447632 974.08489 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 184 2.6262852 74.803339 -0.14459866 0.96971637 900.85276 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 185 3.6039408 35.923798 -0.20615137 0.95962277 929.45931 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 186 2.6111843 15.194153 -0.14284521 1.0663792 872.83298 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 201 1.1208815 119.35181 -0.22509497 0.89861252 879.97188 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 204 1.4353863 142.10874 -0.25314670 0.96120488 916.58376 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 206 0.70402927 193.58522 -0.20554813 0.84603362 887.63050 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 213 0.78617869 160.72333 -0.23146334 0.86035507 967.42440 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 235 0.93713361 4.3012208 -0.068660266 0.86289879 920.23467 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 257 0.57459212 108.99764 -0.18945343 0.91557220 916.18407 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 259 1.1932405 158.38354 -0.16863978 0.91692770 934.49050 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 260 2.8415775 46.786952 -0.17681761 0.87495638 927.22723 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 261 0.76333504 94.884194 -0.18670800 0.98255194 871.33584 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 265 0.66469995 51.651681 -0.17269634 0.89900199 959.52168 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 271 6.2556876 24.577333 -0.18291548 0.92042236 963.27205 LOCATESKYLINES_2: sdR-r2-00034589.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 281 2.0651801 -55.479452 -0.087542868 0.90266640 893.29896 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 284 1.3903309 -45.614687 -0.12567805 0.88161145 856.78365 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 307 2.4471761 -48.841033 -0.22343285 0.90829804 846.62653 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 7 308 1.8614756 254.80771 -0.25389388 0.85855498 1034.2535 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 7 1.5135994 0.0010968610 -0.17241446 0.92721340 0.99465771 LOCATESKYLINES_2: sdR-r2-00034589.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034589.fit: comb2 l,chi^2/dof,fit: 7 1.4576623 0.00092880761 -0.17518133 0.93026970 0.99401584 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.213176-0.1751810.008554 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 0 1.1089845 -8.3545073 -0.11716307 0.85514360 1194.4102 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 6 3.2925217 -534.13510 -0.078887527 0.93841967 1199.4564 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 13 0.35263551 -384.34705 -0.10232295 0.94314163 1326.6959 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 18 0.86776437 -480.50802 -0.10937265 1.0002681 1250.7460 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 26 3.6815449 -223.73210 -0.15948459 0.92940991 1257.7805 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 52 0.82471513 -408.69251 -0.18828767 0.99852059 1206.1665 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 60 0.11818605 -314.14025 -0.095400772 0.93986419 1215.4575 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 63 1.3339336 -363.61775 -0.14882177 0.91822973 1263.1473 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 82 1.4627807 -262.86448 -0.18736490 0.99461170 1018.7270 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 84 1.6365299 -404.85742 -0.093392408 0.92644728 1257.3560 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 109 2.5031500 -242.17451 -0.15327909 0.82669855 1264.1421 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 114 2.5973562 -299.50727 -0.16311249 0.93469899 1251.6205 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 131 2.0505422 -240.05732 -0.17268688 0.93114497 1225.4407 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 153 2.8358135 -23.910253 -0.17686129 1.0173909 1215.1408 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 176 0.48056210 22.290910 -0.13712080 0.85777391 1245.9601 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 180 2.5408687 7.3961792 -0.17096838 0.89021037 1232.3593 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 184 1.0723863 40.754071 -0.11902604 0.96837091 1104.4728 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 185 3.9340536 4.5807104 -0.095505688 0.95848211 1181.4796 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 186 2.2611923 -7.2643687 -0.14905477 0.94441039 1199.7915 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 201 2.8011040 13.944624 -0.076505862 0.87003208 1166.7956 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 204 2.4331626 24.266604 -0.17237089 0.92427643 1137.3396 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 206 1.0770010 57.940732 -0.048993397 0.94163670 1153.9892 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 213 0.65204714 -30.429761 -0.19588982 0.90071296 1219.6460 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 235 3.6734063 -90.836771 -0.16315821 0.91303023 1185.0571 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 257 2.9673609 10.575823 -0.12755902 0.91289331 1233.9886 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 259 4.1427933 79.473492 -0.095809340 0.90516015 1190.6620 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 260 2.2486453 -13.101087 -0.16436986 0.86556346 1193.9182 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 261 0.63524890 -0.020136742 -0.094522377 0.94824353 1178.8224 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 265 2.9132789 -37.224235 -0.17836619 0.92097317 1204.1087 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 271 4.2392493 -55.106007 -0.17817367 0.91242824 1227.5477 LOCATESKYLINES_2: sdR-r2-00034589.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 281 2.3210255 -69.696468 -0.17804120 0.92284618 1078.5904 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 284 3.5327509 -119.58284 -0.16607950 0.92833113 1182.2577 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 307 2.1508064 -83.299957 -0.10535634 0.86632791 1098.3531 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 8 308 2.0796766 118.68677 -0.17185965 1.0663696 1059.7210 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 8 1.5388585 0.00070060524 -0.14002688 0.92110482 0.99849418 LOCATESKYLINES_2: sdR-r2-00034589.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034589.fit: comb2 l,chi^2/dof,fit: 8 1.4859946 0.00091363939 -0.13699171 0.91961298 0.99728078 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.174987-0.1369920.006761 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 0 1.4718620 -16.569347 -0.039922472 0.94409278 1286.0678 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 6 1.6492187 -539.81665 -0.097942577 0.92647141 1334.8703 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 13 1.7394173 -351.05041 -0.078073049 0.89785011 1354.8542 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 18 1.3585244 -405.45910 -0.10090327 0.95255159 1312.4482 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 26 1.9587105 -181.74949 -0.14490824 0.90554138 1416.6553 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 52 4.1118500 -413.54132 -0.12267579 1.0839882 1344.0199 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 60 3.3052464 -318.22757 -0.13288405 1.0053517 1320.2258 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 63 2.0301921 -354.23788 -0.091342907 0.84751037 1390.7652 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 82 2.9073368 -259.09842 -0.11890196 0.88310919 1390.2633 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 84 1.2996563 -418.94831 -0.070551074 1.0131723 1232.3834 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 109 0.89475840 -303.34895 -0.10241386 0.97291719 1366.7832 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 114 0.91803297 -228.84867 -0.14112948 0.87418743 1315.5965 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 131 2.4242714 -176.43116 -0.16128245 0.86386420 1428.3671 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 153 0.93738924 -2.9018221 -0.13522567 0.99932414 1434.3628 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 176 3.0854289 35.555151 -0.12301785 0.94184274 1350.4064 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 180 3.8619543 18.407575 -0.18497776 0.92160486 1335.4476 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 184 0.80799721 43.223434 -0.093064825 0.88087337 1347.4153 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 185 2.6444172 3.5229395 -0.17101685 0.91771789 1387.9698 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 186 0.95487547 -0.66225255 -0.15838494 0.92097539 1345.8021 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 201 1.7278877 19.422567 -0.13166248 0.95032780 1277.4632 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 204 1.4606523 21.563682 -0.10089177 0.97751423 1285.2776 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 206 2.4240558 57.841866 -0.092364242 0.93477849 1319.1129 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 213 0.97521595 27.321310 -0.17298156 0.84761917 1370.5798 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 235 2.5619492 -50.160104 -0.11323801 0.94428058 1197.6721 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 257 0.77096230 8.0303223 -0.19939196 0.93262370 1320.1614 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 259 0.74792697 121.94506 -0.17248092 0.87510646 1321.4648 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 260 1.1130891 -15.579791 -0.14505283 0.91514827 1399.9175 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 261 1.5944287 2.9874124 -0.14117429 1.0136096 1192.1927 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 265 1.5094646 -47.926476 -0.22709370 0.95329769 1381.9164 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 271 1.7044359 -35.776628 -0.12120161 0.89816619 1430.8207 LOCATESKYLINES_2: sdR-r2-00034589.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 281 0.42931216 -102.88576 -0.18599106 0.93402532 1248.5279 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 284 1.6359438 -116.06315 -0.11747020 0.95735037 1280.3575 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 307 5.3926331 -92.606849 -0.13859439 0.99553656 1216.1343 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 9 308 1.6759637 147.90927 -0.22874729 0.87635607 1288.3197 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 9 1.5320708 0.00040910094 -0.13992560 0.93054662 0.99720824 LOCATESKYLINES_2: sdR-r2-00034589.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034589.fit: comb2 l,chi^2/dof,fit: 9 1.4761766 -0.00018108845 -0.13980841 0.93106914 0.99775976 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.177804-0.1398080.006198 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 0 1.6085052 -98.385763 -0.16735488 0.95859513 1142.6556 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 6 3.7284729 -566.38567 -0.43642772 0.91457494 1503.4155 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 13 2.9331672 -366.40477 -0.11750601 0.96205357 1297.0301 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 18 1.1869577 -412.65164 -0.074844285 0.89045213 1270.6935 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 26 2.7843268 -300.93839 -0.12644765 0.92606853 1383.4519 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 52 1.2452122 -396.61403 -0.15475311 1.0714364 1180.5721 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 60 2.7749356 -338.88917 -0.067303125 1.0400187 1322.2039 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 63 1.5714561 -308.11537 -0.13721760 0.86772096 1359.4389 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 82 0.85819202 -371.99069 -0.076408257 0.93904283 1230.5038 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 84 1.7309551 -541.61775 -0.011506672 1.0021496 1278.0500 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 109 0.58141773 -336.60777 -0.078368804 0.99608568 1230.4011 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 114 1.9560641 -302.97690 -0.18720712 0.94146588 1259.8320 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 131 0.59245558 -299.06733 -0.069775515 0.96664287 1218.9237 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 153 0.48280267 -89.917393 -0.074827531 0.95525689 1286.0447 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 176 0.60996576 -45.395742 -0.073164208 0.93765853 1250.1095 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 180 1.3830034 -9.5443957 -0.095153911 0.88300001 1253.2670 LOCATESKYLINES_2: sdR-r2-00034589.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 185 4.0780452 -30.904624 -0.13897738 0.95860960 1181.8273 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 186 1.8028610 -56.355577 -0.12305141 0.96072341 1237.8651 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 201 1.3674372 -21.349297 -0.14583131 0.85680076 1231.3564 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 204 1.7330410 -44.187384 -0.14029668 0.85594871 1288.6106 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 206 4.4287789 -47.676449 0.016864617 1.0110204 1370.8907 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 213 2.7414607 -77.279522 -0.056341513 0.89812385 1304.2122 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 235 1.3640623 -169.70362 -0.16320653 0.93068926 1293.3802 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 257 1.8541807 -61.297312 -0.089741659 0.87177087 1278.0466 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 259 3.5090736 -17.966909 -0.093876621 0.98090957 1232.1830 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 260 2.9365915 -103.22847 -0.046987872 0.94464897 1262.4844 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 261 1.4157002 -73.335095 -0.14045093 0.96894969 1254.3803 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 265 2.3768298 -124.71046 -0.13302094 0.96063289 1290.9414 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 271 1.7088327 -113.45953 -0.11315904 0.97642715 1235.1422 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 276 1.0940203 -132.95492 -0.16272329 0.95249297 1275.5968 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 281 0.61401191 -121.05583 -0.14267165 0.89727238 1201.2339 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 284 1.1622744 -199.88268 -0.10603573 0.98198754 1234.9832 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 307 0.53379049 -194.42814 -0.046936151 0.94630855 1151.6764 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 10 308 0.10646618 -13.328026 -0.16618178 0.90694956 1316.4497 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 10 1.6616712 0.00039221278 -0.11673584 0.94216575 0.99498768 LOCATESKYLINES_2: sdR-r2-00034589.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034589.fit: comb2 l,chi^2/dof,fit: 10 1.4373951 0.00078678744 -0.11103042 0.93865859 0.99734871 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.149026-0.1110300.006570 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 0 2.9566687 -120.70967 -0.14028223 1.0028132 1327.1905 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 6 2.0268084 -529.83969 -0.17029345 0.90268783 1369.1970 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 13 0.80568468 -362.25364 -0.17127663 1.0149230 1272.4294 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 18 1.1247363 -408.86123 -0.14650856 0.95477098 1357.8710 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 26 2.4703929 -319.96591 -0.17673476 0.92947625 1499.2426 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 52 0.25303995 -353.89207 -0.12934212 0.91602390 1404.8473 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 60 2.3469959 -366.83660 -0.026322842 0.91209903 1475.4381 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 63 0.86071813 -368.02278 -0.18128945 0.91170964 1479.4885 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 82 2.6441020 -348.39526 -0.090642347 1.0023634 1419.0428 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 84 1.5584009 -461.49141 -0.15565348 1.0416779 1287.7169 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 109 0.91672350 -330.60622 -0.17673951 0.95197576 1432.7824 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 114 0.94235679 -332.19835 -0.15148383 0.98233113 1445.5361 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 131 0.54634262 -264.66829 -0.17172099 0.97919093 1399.1063 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 153 2.5147599 -122.01302 -0.11179485 0.95316963 1406.9543 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 176 3.0090381 -30.628458 -0.12496994 0.88583847 1446.1907 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 180 2.3777014 -18.229433 -0.11212051 0.87452196 1499.9756 LOCATESKYLINES_2: sdR-r2-00034589.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 185 3.7948948 -43.234720 -0.17706024 0.94627662 1424.7952 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 186 5.5849311 -20.727793 -0.069666507 0.93531235 1346.5206 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 201 1.8209506 -61.386096 -0.073306594 0.87385421 1398.5257 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 204 0.95330804 -60.282023 -0.089419652 0.87899063 1463.7140 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 206 0.82191797 -73.205493 -0.095358928 0.92853007 1392.5782 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 213 2.7817629 -77.550587 -0.11272409 0.90895320 1296.4173 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 235 2.0717605 -149.72575 -0.13861102 0.82235561 1512.8697 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 257 2.4779124 -37.339503 -0.085445098 0.89638371 1479.1271 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 259 2.9592714 -4.7106520 -0.12901272 0.93081566 1409.2265 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 260 0.96520233 -109.17421 -0.14850255 0.94556390 1417.6264 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 261 2.1761578 -70.355395 -0.096356035 0.91120287 1432.7152 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 265 4.7176274 -95.766929 -0.14108652 0.89103242 1500.3297 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 271 3.1473431 -109.43544 -0.11942591 0.94443284 1402.8096 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 276 1.6455323 -146.38912 -0.13012176 0.96119759 1351.6543 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 281 0.88097560 -170.28139 -0.13167465 1.0041117 1338.0104 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 284 1.6506352 -160.34519 -0.11088831 0.97274129 1329.0343 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 307 2.8010698 -181.32454 -0.18691631 0.93859169 1390.1206 LOCATESKYLINES_2: sdR-r2-00034589.fit: l,f,chi^2/dof,c: 11 308 0.81906736 25.765002 -0.070568082 0.88924302 1316.5489 LOCATESKYLINES_2: sdR-r2-00034589.fit: comb1 l,chi^2/dof,fit: 11 1.5822229 0.00037986758 -0.12587491 0.92695073 0.99823906 LOCATESKYLINES_2: sdR-r2-00034589.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034589.fit: offset, refoff, sigma: -0.163870-0.1258750.005929 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 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0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 FITMEANX: sdR-r2-00034589.fit: In skyline number 0 std-dev is 0.029621300 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 1 std-dev is 0.070953576 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 2 std-dev is 0.13876150 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 3 std-dev is 0.11672969 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 4 std-dev is 0.080892331 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 5 std-dev is 0.094008399 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 6 std-dev is 0.079739812 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 7 std-dev is 0.046608949 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 8 std-dev is 0.065839406 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 9 std-dev is 0.046181971 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 10 std-dev is 0.072591503 pix FITMEANX: sdR-r2-00034589.fit: In skyline number 11 std-dev is 0.059109268 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 6300.3040 coadded std-dev is 0.00389203 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 6363.7760 coadded std-dev is 0.00859111 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 6553.6100 coadded std-dev is 0.0551134 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 6923.2100 coadded std-dev is 0.0274407 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 6949.0300 coadded std-dev is 0.0242575 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 7571.7500 coadded std-dev is 0.0190225 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 7794.1200 coadded std-dev is 0.0101554 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 7821.5100 coadded std-dev is 0.00855362 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 8399.1600 coadded std-dev is 0.00676086 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 8430.1700 coadded std-dev is 0.00619754 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 8885.8300 coadded std-dev is 0.00656986 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: In sky feature at 8919.6100 coadded std-dev is 0.00592886 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034589.fit: Median arc shift = -0.17520032 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: Dispersion in arc shift = 0.022458567 pix LOCATESKYLINES_2: sdR-r2-00034589.fit: Maximum sky-line shift is 0.20927981 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Number of sky fibers = 17 ROW NITER SIG(med) CHI^2 .0000 3 0.86 0.84 .0001 10 0.86 0.77 .0002 20 0.86 0.57 .0003 10 0.86 1.13 .0004 15 0.86 1.77 .0005 18 0.86 0.75 .0006 2 0.86 0.69 .0007 20 0.86 0.79 .0008 8 0.86 0.84 .0009 9 0.86 1.06 .0010 14 0.86 0.77 .0011 13 0.86 1.66 .0012 20 0.86 1.00 .0013 1 0.86 0.68 .0014 20 0.86 0.88 .0015 4 0.86 1.01 .0016 20 0.86 0.72 .0017 6 0.86 1.13 .0018 1 0.86 0.62 .0019 9 0.86 0.87 .0020 17 0.82 0.72 .0021 11 0.82 0.75 .0022 20 0.82 1.48 .0023 20 0.82 1.60 .0024 9 0.82 0.94 .0025 10 0.82 1.08 .0026 2 0.82 0.76 .0027 20 0.82 1.42 .0028 13 0.82 0.82 .0029 18 0.82 0.52 .0030 11 0.82 0.82 .0031 18 0.82 0.54 .0032 20 0.82 1.80 .0033 11 0.82 1.13 .0034 20 0.82 1.26 .0035 20 0.82 1.08 .0036 4 0.82 1.05 .0037 15 0.82 1.17 .0038 10 0.82 1.05 .0039 13 0.82 1.10 .0040 20 0.85 1.03 .0041 18 0.85 0.89 .0042 12 0.85 1.16 .0043 10 0.85 1.00 .0044 7 0.85 0.79 .0045 20 0.85 0.69 .0046 20 0.85 2.36 .0047 14 0.85 1.34 .0048 5 0.85 0.83 .0049 12 0.85 0.85 .0050 11 0.85 0.98 .0051 20 0.85 0.71 .0052 1 0.85 0.76 .0053 12 0.85 0.76 .0054 20 0.85 0.53 .0055 12 0.85 1.89 .0056 15 0.85 0.95 .0057 9 0.85 0.89 .0058 8 0.85 1.13 .0059 17 0.85 0.83 .0060 2 0.84 0.63 .0061 14 0.84 0.84 .0062 16 0.84 0.74 .0063 2 0.84 0.62 .0064 20 0.84 0.76 .0065 9 0.84 0.93 .0066 20 0.84 0.50 .0067 20 0.84 0.84 .0068 9 0.84 1.03 .0069 20 0.84 1.28 .0070 20 0.84 0.94 .0071 3 0.84 0.77 .0072 20 0.84 0.86 .0073 12 0.84 0.84 .0074 11 0.84 0.79 .0075 11 0.84 1.67 .0076 20 0.84 0.76 .0077 18 0.84 0.74 .0078 20 0.84 0.62 .0079 9 0.84 0.96 .0080 20 0.84 0.97 .0081 14 0.84 0.79 .0082 1 0.84 0.53 .0083 9 0.84 1.02 .0084 2 0.84 0.55 .0085 6 0.84 0.78 .0086 20 0.84 1.26 .0087 17 0.84 0.63 .0088 20 0.84 0.62 .0089 9 0.84 0.81 .0090 20 0.84 0.55 .0091 12 0.84 0.76 .0092 5 0.84 1.11 .0093 11 0.84 0.99 .0094 10 0.84 1.03 .0095 6 0.84 1.31 .0096 20 0.84 0.64 .0097 20 0.84 0.73 .0098 14 0.84 0.92 .0099 11 0.84 1.01 .0100 10 0.84 1.05 .0101 19 0.84 0.58 .0102 20 0.84 1.15 .0103 14 0.84 0.82 .0104 12 0.84 0.82 .0105 20 0.84 1.04 .0106 9 0.84 0.77 .0107 20 0.84 0.75 .0108 11 0.84 0.87 .0109 4 0.84 0.70 .0110 5 0.84 0.69 .0111 17 0.84 0.48 .0112 20 0.84 1.04 .0113 10 0.84 1.01 .0114 1 0.84 0.83 .0115 6 0.84 0.99 .0116 18 0.84 0.57 .0117 16 0.84 1.94 .0118 10 0.84 0.91 .0119 17 0.84 0.59 .0120 10 0.79 1.14 .0121 17 0.79 0.82 .0122 19 0.79 0.50 .0123 13 0.79 0.93 .0124 9 0.79 1.06 .0125 10 0.79 0.94 .0126 10 0.79 0.86 .0127 10 0.79 0.89 .0128 20 0.79 0.88 .0129 9 0.79 0.91 .0130 20 0.79 1.15 .0131 3 0.79 0.77 .0132 11 0.79 1.73 .0133 6 0.79 1.22 .0134 6 0.79 1.12 .0135 13 0.79 0.93 .0136 5 0.79 0.63 .0137 15 0.79 0.76 .0138 6 0.79 0.98 .0139 20 0.79 0.60 .0140 10 0.80 0.83 .0141 20 0.80 1.07 .0142 20 0.80 1.12 .0143 8 0.80 1.05 .0144 14 0.80 0.94 .0145 5 0.80 0.91 .0146 8 0.80 0.91 .0147 14 0.80 0.86 .0148 11 0.80 1.24 .0149 20 0.80 1.42 .0150 10 0.80 1.72 .0151 8 0.80 1.09 .0152 11 0.80 0.94 .0153 2 0.80 0.79 .0154 20 0.80 1.91 .0155 20 0.80 1.06 .0156 9 0.80 1.00 .0157 20 0.80 1.28 .0158 10 0.80 0.89 .0159 19 0.80 0.48 .0160 11 0.78 1.01 .0161 12 0.78 0.86 .0162 12 0.78 0.90 .0163 10 0.78 0.87 .0164 7 0.78 1.04 .0165 3 0.78 0.83 .0166 5 0.78 0.63 .0167 11 0.78 1.09 .0168 6 0.78 0.82 .0169 5 0.78 1.09 .0170 17 0.78 0.65 .0171 13 0.78 0.71 .0172 2 0.78 0.80 .0173 5 0.78 0.88 .0174 1 0.78 0.72 .0175 5 0.78 0.91 .0176 2 0.78 1.06 .0177 7 0.78 0.78 .0178 2 0.78 0.77 .0179 11 0.78 0.91 .0180 2 0.80 1.43 .0181 8 0.80 0.71 .0182 2 0.80 0.79 .0183 12 0.80 1.01 .0184 1 0.80 0.82 .0185 3 0.80 1.20 .0186 1 0.80 1.30 .0187 1 0.80 0.81 .0188 11 0.80 1.12 .0189 5 0.80 1.24 .0190 2 0.80 0.82 .0191 1 0.80 0.94 .0192 2 0.80 0.84 .0193 2 0.80 0.70 .0194 2 0.80 0.79 .0195 1 0.80 0.89 .0196 1 0.80 0.79 .0197 13 0.80 0.63 .0198 1 0.80 0.73 .0199 1 0.80 0.77 .0200 9 0.78 1.24 .0201 3 0.78 0.78 .0202 20 0.78 1.48 .0203 13 0.78 0.74 .0204 4 0.78 0.66 .0205 20 0.78 1.68 .0206 1 0.78 0.69 .0207 20 0.78 1.66 .0208 12 0.78 1.18 .0209 20 0.78 1.65 .0210 15 0.78 0.76 .0211 12 0.78 0.79 .0212 14 0.78 0.71 .0213 3 0.78 0.82 .0214 5 0.78 0.78 .0215 20 0.78 0.94 .0216 20 0.78 0.94 .0217 20 0.78 0.98 .0218 5 0.78 0.64 .0219 10 0.78 0.85 .0220 9 0.78 1.19 .0221 5 0.78 1.08 .0222 14 0.78 0.84 .0223 19 0.78 0.53 .0224 11 0.78 0.76 .0225 5 0.78 0.85 .0226 20 0.78 0.65 .0227 6 0.78 0.62 .0228 20 0.78 1.29 .0229 4 0.78 0.86 .0230 5 0.78 0.73 .0231 6 0.78 1.16 .0232 1 0.78 0.66 .0233 4 0.78 0.84 .0234 11 0.78 0.87 .0235 2 0.78 0.80 .0236 14 0.78 0.88 .0237 9 0.78 0.98 .0238 20 0.78 0.93 .0239 1 0.78 0.74 .0240 19 0.80 0.58 .0241 0 0.80 0.00 .0242 20 0.80 1.19 .0243 7 0.80 1.08 .0244 18 0.80 0.55 .0245 14 0.80 0.82 .0246 11 0.80 1.02 .0247 7 0.80 1.01 .0248 18 0.80 0.49 .0249 10 0.80 0.80 .0250 5 0.80 1.03 .0251 20 0.80 0.70 .0252 10 0.80 0.97 .0253 12 0.80 0.83 .0254 5 0.80 0.69 .0255 8 0.80 1.14 .0256 10 0.80 0.70 .0257 4 0.80 0.85 .0258 12 0.80 0.69 .0259 4 0.80 0.95 .0260 2 0.81 0.74 .0261 1 0.81 0.80 .0262 20 0.81 0.59 .0263 0 0.81 0.00 .0264 6 0.81 1.16 .0265 2 0.81 1.11 .0266 18 0.81 0.48 .0267 5 0.81 0.77 .0268 9 0.81 0.93 .0269 19 0.81 0.54 .0270 10 0.81 1.33 .0271 4 0.81 0.86 .0272 6 0.81 1.06 .0273 6 0.81 1.21 .0274 10 0.81 0.89 .0275 20 0.81 0.86 .0276 1 0.81 0.38 .0277 18 0.81 0.62 .0278 19 0.81 0.75 .0279 8 0.81 1.16 .0280 11 0.81 0.91 .0281 2 0.81 0.76 .0282 13 0.81 0.85 .0283 10 0.81 0.96 .0284 3 0.81 0.87 .0285 5 0.81 0.83 .0286 10 0.81 0.79 .0287 11 0.81 0.77 .0288 9 0.81 0.90 .0289 11 0.81 1.02 .0290 15 0.81 0.66 .0291 20 0.81 0.52 .0292 0 0.81 0.00 .0293 16 0.81 0.68 .0294 10 0.81 0.83 .0295 5 0.81 0.75 .0296 13 0.81 0.93 .0297 12 0.81 0.93 .0298 20 0.81 0.86 .0299 12 0.81 0.86 .0300 4 0.85 0.81 .0301 5 0.85 0.99 .0302 8 0.85 0.98 .0303 20 0.85 0.96 .0304 4 0.85 1.00 .0305 10 0.85 0.86 .0306 8 0.85 0.92 .0307 3 0.85 0.72 .0308 1 0.85 0.67 .0309 17 0.85 0.48 .0310 14 0.85 0.74 .0311 0 0.85 0.00 .0312 20 0.85 0.80 .0313 20 0.85 0.50 .0314 10 0.85 0.96 .0315 18 0.85 0.80 .0316 20 0.85 1.10 .0317 10 0.85 0.89 .0318 10 0.85 0.64 .0319 5 0.85 0.44 EXTRACT_IMAGE: sdR-r2-00034589.fit: masked 4302 pixels SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 0 median sigma(arc)= 0.93745531 sigma(sky)= 1.2749498 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 0 sigma^2(add)= 0.71278871 +/- 0.60919949 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 1 median sigma(arc)= 0.92910205 sigma(sky)= -5.4624417 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 1 sigma^2(add)= 15.115341 +/- 1715759.8 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 2 median sigma(arc)= 0.90486063 sigma(sky)= -13378.969 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 2 sigma^2(add)= 1.8837557e+08 +/- 3.8634418e+08 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 3 median sigma(arc)= 0.86253659 sigma(sky)= 1.6061404 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 3 sigma^2(add)= 1.8357174 +/- 0.92603247 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 4 median sigma(arc)= 0.85989255 sigma(sky)= 1.3312880 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 4 sigma^2(add)= 1.0329652 +/- 0.66342631 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 5 median sigma(arc)= 0.81288966 sigma(sky)= -1.4065539 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 5 sigma^2(add)= 1.5837649 +/- 740498.11 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 6 median sigma(arc)= 0.80550132 sigma(sky)= 0.97271484 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 6 sigma^2(add)= 0.29734038 +/- 0.33544894 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 7 median sigma(arc)= 0.80498879 sigma(sky)= 0.92574705 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 7 sigma^2(add)= 0.20900215 +/- 0.33497696 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 8 median sigma(arc)= 0.81706241 sigma(sky)= 0.87258014 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 8 sigma^2(add)= 0.093806928 +/- 0.23895829 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 9 median sigma(arc)= 0.81905238 sigma(sky)= 0.96359229 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 9 sigma^2(add)= 0.25766188 +/- 0.28119851 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 10 median sigma(arc)= 0.86615683 sigma(sky)= 0.85948110 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 10 sigma^2(add)= -0.011520972 +/- 0.43002473 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 11 median sigma(arc)= 0.87105872 sigma(sky)= 0.90497574 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Line # 11 sigma^2(add)= 0.060237783 +/- 0.28945027 SKYLINE_DISPERSION: sdR-r2-00034589.fit: Flexure sigma^2(add) = 0.064469422 +/- 0.14860568 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034589.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034589.fit: Heliocentric correction = 23.177379 km/s FITVACSET: sdR-r2-00034589.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034589.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034589.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034589.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-r2-00034589.fit: Number of sky fibers = 17 SKYSUBTRACT: sdR-r2-00034589.fit: Airmass range = 1.29336 1.34732 SKYSUBTRACT: sdR-r2-00034589.fit: Discarding 0.00307330 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 of 2046 Bin 50 of 2046 Bin 51 of 2046 Bin 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sdR-r2-00034589.fit: Median sky-residual chi2 = 2.71586 SKYSUBTRACT: sdR-r2-00034589.fit: Max sky-residual chi2 = 13.7976 EXTRACT_OBJECT: sdR-r2-00034589.fit: Calling skysubtract again; masked skyfibers 307 308 SKYSUBTRACT: sdR-r2-00034589.fit: Number of sky fibers = 15 SKYSUBTRACT: sdR-r2-00034589.fit: Airmass range = 1.29336 1.34732 SKYSUBTRACT: sdR-r2-00034589.fit: Discarding 0.00309245 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 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QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 214 = 26.8629 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 236 = -77.1359 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 261 = -38.5663 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 272 = -22.5053 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Median sky-residual chi = 1.44893 QAPLOT_SKYSUB: sdR-r2-00034589.fit: Max sky-residual chi = 3.86608 at 6563.4267 Ang SKYSUBTRACT: sdR-r2-00034589.fit: Number of sky fibers = 15 SKYSUBTRACT: sdR-r2-00034589.fit: Airmass range = 1.29336 1.34732 SKYSUBTRACT: sdR-r2-00034589.fit: Discarding 0.00309245 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 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Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034589.fit: Median sky-residual chi2 = 1.77116 SKYSUBTRACT: sdR-r2-00034589.fit: Max sky-residual chi2 = 17.4634 QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 205 = 11.7895 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 207 = 43.6459 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 214 = 22.8309 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 236 = -71.0935 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 258 = 25.3671 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 261 = -21.3628 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Warning: Median sky-sub flux in sky fiber 266 = 11.3796 electrons QAPLOT_SKYSUB: sdR-r2-00034589.fit: Median sky-residual chi = 1.36669 QAPLOT_SKYSUB: sdR-r2-00034589.fit: Max sky-residual chi = 4.41706 at 6565.0136 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r2-00034589.fit: Airmass range = 1.29 1.35 QAPLOT_SKYLINE: sdR-r2-00034589.fit: Flux dispersion for skyline 7343.0 = 7.61 % % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r2-00034589.fit: Airmass range = 1.29 1.35 QAPLOT_SKYLINE: sdR-r2-00034589.fit: Flux dispersion for skyline 8888.3 = 4.94 % SPADD_GUIDERINFO: sdR-r2-00034589.fit: Number of guider frames = 24 SPREDUCE: sdR-r2-00034589.fit: Elapsed time = 174. seconds SPREDUCE: sdR-r2-00034590.fit: Reading object sdR-r2-00034590.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034590.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034590.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034590.fit: Measured read-noise in DN for amp# 2 = 4.75011 SDSSPROC: sdR-r2-00034590.fit: Measured bias value in DN for amp# 2 = 483.765 SDSSPROC: sdR-r2-00034590.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034590.fit: Amp #2 Number of pix below bias-5*sigma= 462. DN is 0 SDSSPROC: sdR-r2-00034590.fit: Measured read-noise in DN for amp# 3 = 3.73659 SDSSPROC: sdR-r2-00034590.fit: Measured bias value in DN for amp# 3 = 1291.21 SDSSPROC: sdR-r2-00034590.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034590.fit: Amp #3 Number of pix below bias-5*sigma= 1271. DN is 0 SDSSPROC: sdR-r2-00034590.fit: Number of bleading columns = 1 SDSSPROC: sdR-r2-00034590.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034590.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034590.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034590.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034590.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034590.fit: Science 25-th-percentile = 1086.10 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EXTRACT_OBJECT: sdR-r2-00034590.fit: Whopping fibers: 5 12 14 20 23 27 32 34 40 46 55 64 66 70 76 80 86 96 102 105 112 130 132 141 144 149 155 157 159 170 197 205 207 209 212 216 226 244 251 275 278 303 316 EXTRACT_OBJECT: sdR-r2-00034590.fit: Median counts in all fibers = 22731.5 EXTRACT_OBJECT: sdR-r2-00034590.fit: Number of bright fibers = 43 EXTRACT_OBJECT: sdR-r2-00034590.fit: Sky fiber median 1582.53 EXTRACT_OBJECT: sdR-r2-00034590.fit: 5% and 95% count levels 1484.25 40282.9 EXTRACT_OBJECT: sdR-r2-00034590.fit: WARNING: Disable whopping terms sdR-r2-00034590.fit MATCH_TRACE: sdR-r2-00034590.fit: Iteration: 0 Pixels Rejected: 32428 Finished? 0 MATCH_TRACE: sdR-r2-00034590.fit: Iteration: 1 Pixels Rejected: 427 Finished? 0 MATCH_TRACE: sdR-r2-00034590.fit: Iteration: 2 Pixels Rejected: 49 Finished? 0 MATCH_TRACE: sdR-r2-00034590.fit: Iteration: 3 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: sdR-r2-00034590.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-r2-00034590.fit: Warning: Large number of pixels rejected! 32910 EXTRACT_OBJECT: sdR-r2-00034590.fit: Shifting traces by match_trace 0.0300293 EXTRACT_OBJECT: sdR-r2-00034590.fit: Extracting frame sdR-r2-00034590.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034590.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 7.98 .0004 1 0.95 7.47 .0005 1 0.95 7.77 .0006 1 0.95 7.53 .0007 2 0.95 7.60 .0008 2 0.95 8.47 .0009 2 0.95 7.97 .0010 2 0.95 7.78 .0011 1 0.95 7.73 .0012 2 0.95 7.74 .0013 1 0.95 7.80 .0014 1 0.95 7.92 .0015 1 0.95 7.82 .0016 1 0.95 8.46 .0017 2 0.95 8.12 .0018 1 0.95 8.17 .0019 1 0.95 8.26 .0020 1 0.95 8.33 .0021 1 0.95 8.37 .0022 1 0.95 9.16 .0023 3 0.95 8.64 .0024 2 0.95 8.29 .0025 1 0.95 8.48 .0026 2 0.95 7.74 .0027 2 0.95 8.00 .0028 2 0.95 7.81 .0029 2 0.95 8.56 .0030 2 0.95 8.04 .0031 4 0.95 8.06 .0032 4 0.95 7.96 .0033 4 0.95 8.25 .0034 2 0.95 8.76 .0035 2 0.95 8.26 .0036 2 0.95 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0.92 5.91 .1652 2 0.92 6.46 .1653 1 0.92 6.25 .1654 1 0.92 6.04 .1655 2 0.92 6.17 .1656 1 0.92 6.36 .1657 1 0.92 6.08 .1658 1 0.92 6.05 .1659 1 0.92 6.57 .1660 2 0.92 6.27 .1661 3 0.92 6.14 .1662 2 0.92 6.54 .1663 1 0.92 7.14 .1664 2 0.92 6.96 .1665 2 0.92 6.24 .1666 2 0.92 6.52 .1667 3 0.92 6.55 .1668 2 0.92 6.25 .1669 1 0.92 5.60 .1670 2 0.92 5.52 .1671 1 0.92 6.18 .1672 1 0.92 5.84 .1673 1 0.92 6.40 .1674 1 0.92 6.10 .1675 2 0.92 6.26 .1676 1 0.92 6.31 .1677 1 0.92 6.46 .1678 1 0.92 6.69 .1679 1 0.92 6.06 .1680 1 0.92 6.52 .1681 1 0.92 6.18 .1682 1 0.92 6.20 .1683 1 0.92 6.23 .1684 3 0.92 6.40 .1685 1 0.92 6.82 .1686 2 0.92 5.96 .1687 3 0.92 6.08 .1688 2 0.92 6.44 .1689 1 0.92 6.24 .1690 2 0.92 6.26 .1691 4 0.92 6.41 .1692 2 0.92 6.57 .1693 2 0.92 6.35 .1694 3 0.92 5.98 .1695 1 0.92 5.78 .1696 2 0.92 6.04 .1697 1 0.92 5.88 .1698 1 0.92 6.51 .1699 1 0.92 5.86 .1700 1 0.92 5.76 .1701 1 0.92 6.45 .1702 2 0.92 6.02 .1703 2 0.92 5.81 .1704 1 0.92 6.04 .1705 2 0.92 6.13 .1706 3 0.92 5.91 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0.92 5.99 .1763 1 0.92 5.68 .1764 1 0.92 5.78 .1765 3 0.92 5.48 .1766 1 0.92 5.58 .1767 1 0.92 5.40 .1768 2 0.92 5.66 .1769 1 0.92 5.54 .1770 1 0.92 5.56 .1771 2 0.92 5.97 .1772 3 0.92 5.71 .1773 2 0.92 6.16 .1774 2 0.92 5.56 .1775 1 0.92 5.63 .1776 1 0.92 5.32 .1777 1 0.92 5.64 .1778 2 0.92 5.82 .1779 3 0.92 5.38 .1780 1 0.92 6.06 .1781 2 0.92 6.18 .1782 3 0.92 5.76 .1783 1 0.92 6.01 .1784 1 0.92 5.79 .1785 3 0.92 5.40 .1786 1 0.92 6.20 .1787 1 0.92 5.62 .1788 3 0.92 5.54 .1789 2 0.92 5.41 .1790 1 0.92 5.41 .1791 1 0.92 6.25 .1792 2 0.92 6.13 .1793 1 0.92 5.84 .1794 1 0.92 5.61 .1795 1 0.92 5.96 .1796 1 0.92 5.64 .1797 1 0.92 5.64 .1798 2 0.92 5.80 .1799 4 0.92 5.88 .1800 1 0.92 5.74 .1801 1 0.92 5.85 .1802 1 0.92 5.81 .1803 1 0.92 5.80 .1804 1 0.92 5.92 .1805 2 0.92 6.18 .1806 1 0.92 5.84 .1807 1 0.92 6.43 .1808 1 0.92 5.87 .1809 1 0.92 6.04 .1810 1 0.92 5.59 .1811 1 0.92 5.78 .1812 1 0.92 5.64 .1813 2 0.92 5.68 .1814 2 0.92 6.08 .1815 3 0.92 6.18 .1816 2 0.92 5.82 .1817 3 0.92 6.29 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0.92 6.91 .1874 2 0.92 6.07 .1875 1 0.92 6.04 .1876 1 0.92 5.81 .1877 1 0.92 5.76 .1878 2 0.92 6.18 .1879 1 0.92 6.12 .1880 1 0.92 6.04 .1881 1 0.92 5.81 .1882 1 0.92 6.03 .1883 1 0.92 5.86 .1884 1 0.92 6.20 .1885 2 0.92 5.85 .1886 1 0.92 5.64 .1887 1 0.92 5.72 .1888 2 0.92 6.16 .1889 1 0.92 6.16 .1890 1 0.92 6.13 .1891 1 0.92 6.30 .1892 1 0.92 5.74 .1893 1 0.92 6.03 .1894 1 0.92 5.93 .1895 1 0.92 6.17 .1896 1 0.92 5.78 .1897 1 0.92 6.02 .1898 2 0.92 5.63 .1899 1 0.92 5.67 .1900 1 0.92 5.55 .1901 2 0.92 5.74 .1902 2 0.92 5.55 .1903 2 0.92 5.47 .1904 1 0.92 5.56 .1905 3 0.92 5.80 .1906 2 0.92 5.86 .1907 2 0.92 5.49 .1908 2 0.92 5.35 .1909 1 0.92 5.53 .1910 1 0.92 5.68 .1911 1 0.92 5.40 .1912 2 0.92 5.35 .1913 1 0.92 5.29 .1914 1 0.92 5.14 .1915 1 0.92 5.38 .1916 2 0.92 5.23 .1917 2 0.92 5.65 .1918 1 0.92 5.64 .1919 2 0.92 5.31 .1920 4 0.92 4.91 .1921 2 0.92 5.42 .1922 2 0.92 5.02 .1923 1 0.92 4.89 .1924 1 0.92 4.92 .1925 1 0.92 5.44 .1926 1 0.92 5.38 .1927 1 0.92 5.35 .1928 2 0.92 4.82 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0.92 5.48 .1985 2 0.92 5.39 .1986 1 0.92 6.08 .1987 2 0.92 6.09 .1988 3 0.92 5.37 .1989 4 0.92 5.22 .1990 3 0.92 5.30 .1991 4 0.92 5.24 .1992 2 0.92 5.19 .1993 2 0.92 4.99 .1994 2 0.92 4.94 .1995 2 0.92 4.99 .1996 2 0.92 5.05 .1997 3 0.92 5.58 .1998 2 0.92 5.19 .1999 3 0.92 5.04 .2000 4 0.92 5.26 .2001 1 0.92 5.19 .2002 1 0.92 5.13 .2003 2 0.92 5.17 .2004 1 0.92 5.15 .2005 1 0.92 4.95 .2006 2 0.92 5.54 .2007 2 0.92 5.18 .2008 1 0.92 5.36 .2009 3 0.92 4.91 .2010 3 0.92 4.93 .2011 2 0.92 5.10 .2012 4 0.92 4.92 .2013 1 0.92 5.08 .2014 2 0.92 4.89 .2015 1 0.92 5.56 .2016 1 0.92 5.50 .2017 1 0.92 5.20 .2018 3 0.92 5.65 .2019 5 0.92 4.97 .2020 3 0.92 4.95 .2021 3 0.92 5.05 .2022 2 0.92 5.00 .2023 2 0.92 5.34 .2024 1 0.92 5.22 .2025 3 0.92 4.89 .2026 2 0.92 4.88 .2027 1 0.92 5.06 .2028 1 0.92 5.22 .2029 1 0.92 4.82 .2030 1 0.92 4.90 .2031 1 0.92 4.99 .2032 1 0.92 5.52 .2033 2 0.92 4.79 .2034 1 0.92 4.51 .2035 3 0.92 4.62 .2036 1 0.92 4.79 .2037 1 0.92 4.52 .2038 2 0.92 4.61 .2039 1 0.92 4.78 .2040 1 0.92 4.40 .2041 2 0.92 4.39 .2042 1 0.92 4.67 .2043 1 0.92 4.56 .2044 1 0.92 4.40 .2045 1 0.92 4.44 .2046 1 0.92 4.36 .2047 1 0.92 4.27 EXTRACT_IMAGE: sdR-r2-00034590.fit: masked 1440 pixels EXTRACT_OBJECT: sdR-r2-00034590.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034590.fit: WARNING: Scattered light median = 316.209 electrons QAPLOT_SCATLIGHT: sdR-r2-00034590.fit: WARNING: Scattered light max = 609.137 electrons EXTRACT_OBJECT: sdR-r2-00034590.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034590.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034590.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034590.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.15 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.14 Step 28 of 2112 0.59 96 0.02 0.14 Step 36 of 2112 0.59 96 0.02 0.14 Step 44 of 2112 0.59 96 0.02 0.14 Step 52 of 2112 0.59 96 0.02 0.14 Step 60 of 2112 0.59 96 0.02 0.14 Step 68 of 2112 0.59 96 0.02 0.14 Step 76 of 2112 0.59 96 0.02 0.14 Step 84 of 2112 0.59 96 0.02 0.14 Step 92 of 2112 0.59 96 0.02 0.14 Step 100 of 2112 0.60 96 0.02 0.14 Step 108 of 2112 0.60 96 0.02 0.14 Step 116 of 2112 0.60 96 0.02 0.14 Step 124 of 2112 0.60 96 0.02 0.14 Step 132 of 2112 0.60 96 0.02 0.14 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.61 96 0.02 0.15 Step 172 of 2112 0.61 96 0.02 0.15 Step 180 of 2112 0.61 96 0.02 0.16 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.16 Step 204 of 2112 0.61 96 0.02 0.17 Step 212 of 2112 0.61 96 0.02 0.16 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.62 96 0.02 0.14 Step 236 of 2112 0.62 96 0.02 0.15 Step 244 of 2112 0.62 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.16 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.63 96 0.02 0.15 Step 308 of 2112 0.63 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.16 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.64 96 0.02 0.15 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.16 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.14 Step 412 of 2112 0.64 96 0.02 0.14 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.65 96 0.02 0.16 Step 436 of 2112 0.65 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.16 Step 452 of 2112 0.65 96 0.02 0.16 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.16 Step 484 of 2112 0.65 96 0.02 0.16 Step 492 of 2112 0.66 96 0.02 0.17 Step 500 of 2112 0.66 96 0.02 0.17 Step 508 of 2112 0.66 96 0.02 0.15 Step 516 of 2112 0.66 96 0.02 0.15 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.02 0.15 Step 540 of 2112 0.66 96 0.02 0.15 Step 548 of 2112 0.66 96 0.02 0.16 Step 556 of 2112 0.67 96 0.01 0.15 Step 564 of 2112 0.67 96 0.01 0.15 Step 572 of 2112 0.67 96 0.01 0.15 Step 580 of 2112 0.67 96 0.01 0.15 Step 588 of 2112 0.67 96 0.02 0.16 Step 596 of 2112 0.67 96 0.01 0.15 Step 604 of 2112 0.67 96 0.02 0.15 Step 612 of 2112 0.68 96 0.02 0.16 Step 620 of 2112 0.68 96 0.02 0.15 Step 628 of 2112 0.68 96 0.02 0.14 Step 636 of 2112 0.68 96 0.02 0.15 Step 644 of 2112 0.68 128 0.02 0.21 Step 652 of 2112 0.68 128 0.02 0.20 Step 660 of 2112 0.68 128 0.03 0.21 Step 668 of 2112 0.68 128 0.02 0.21 Step 676 of 2112 0.69 128 0.03 0.21 Step 684 of 2112 0.69 128 0.02 0.20 Step 692 of 2112 0.69 128 0.02 0.20 Step 700 of 2112 0.69 128 0.02 0.23 Step 708 of 2112 0.69 128 0.02 0.20 Step 716 of 2112 0.69 128 0.02 0.20 Step 724 of 2112 0.69 128 0.03 0.21 Step 732 of 2112 0.69 128 0.03 0.21 Step 740 of 2112 0.70 128 0.02 0.22 Step 748 of 2112 0.70 128 0.02 0.21 Step 756 of 2112 0.70 128 0.03 0.19 Step 764 of 2112 0.70 128 0.02 0.19 Step 772 of 2112 0.70 128 0.03 0.20 Step 780 of 2112 0.70 128 0.04 0.22 Step 788 of 2112 0.70 128 0.04 0.21 Step 796 of 2112 0.71 128 0.03 0.20 Step 804 of 2112 0.71 128 0.03 0.19 Step 812 of 2112 0.71 128 0.03 0.21 Step 820 of 2112 0.71 128 0.02 0.22 Step 828 of 2112 0.71 128 0.02 0.22 Step 836 of 2112 0.71 128 0.02 0.19 Step 844 of 2112 0.71 128 0.02 0.20 Step 852 of 2112 0.71 128 0.03 0.20 Step 860 of 2112 0.72 128 0.03 0.22 Step 868 of 2112 0.72 128 0.03 0.23 Step 876 of 2112 0.72 128 0.03 0.22 Step 884 of 2112 0.72 128 0.03 0.21 Step 892 of 2112 0.72 128 0.03 0.23 Step 900 of 2112 0.72 128 0.03 0.23 Step 908 of 2112 0.72 128 0.03 0.22 Step 916 of 2112 0.73 128 0.03 0.22 Step 924 of 2112 0.73 128 0.03 0.22 Step 932 of 2112 0.73 128 0.02 0.20 Step 940 of 2112 0.73 128 0.03 0.21 Step 948 of 2112 0.73 128 0.03 0.22 Step 956 of 2112 0.73 128 0.02 0.21 Step 964 of 2112 0.73 128 0.02 0.20 Step 972 of 2112 0.73 128 0.03 0.21 Step 980 of 2112 0.74 128 0.02 0.20 Step 988 of 2112 0.74 128 0.02 0.21 Step 996 of 2112 0.74 128 0.02 0.21 Step 1004 of 2112 0.74 128 0.02 0.22 Step 1012 of 2112 0.74 128 0.02 0.23 Step 1020 of 2112 0.74 128 0.02 0.21 Step 1028 of 2112 0.74 128 0.03 0.23 Step 1036 of 2112 0.75 128 0.02 0.21 Step 1044 of 2112 0.75 128 0.03 0.21 Step 1052 of 2112 0.75 128 0.03 0.21 Step 1060 of 2112 0.75 128 0.02 0.21 Step 1068 of 2112 0.75 128 0.02 0.20 Step 1076 of 2112 0.75 128 0.02 0.20 Step 1084 of 2112 0.75 128 0.02 0.20 Step 1092 of 2112 0.75 160 0.03 0.35 Step 1100 of 2112 0.76 160 0.03 0.35 Step 1108 of 2112 0.76 160 0.03 0.35 Step 1116 of 2112 0.76 160 0.03 0.34 Step 1124 of 2112 0.76 160 0.03 0.35 Step 1132 of 2112 0.76 160 0.03 0.33 Step 1140 of 2112 0.76 160 0.03 0.34 Step 1148 of 2112 0.76 160 0.03 0.34 Step 1156 of 2112 0.77 160 0.03 0.35 Step 1164 of 2112 0.77 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.33 Step 1188 of 2112 0.77 160 0.03 0.33 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.03 0.32 Step 1212 of 2112 0.78 160 0.03 0.34 Step 1220 of 2112 0.78 160 0.02 0.32 Step 1228 of 2112 0.78 160 0.02 0.32 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.03 0.32 Step 1252 of 2112 0.78 160 0.03 0.32 Step 1260 of 2112 0.78 160 0.03 0.32 Step 1268 of 2112 0.78 160 0.03 0.32 Step 1276 of 2112 0.79 160 0.03 0.32 Step 1284 of 2112 0.79 160 0.03 0.31 Step 1292 of 2112 0.79 160 0.03 0.32 Step 1300 of 2112 0.79 160 0.03 0.35 Step 1308 of 2112 0.79 160 0.03 0.34 Step 1316 of 2112 0.79 160 0.03 0.33 Step 1324 of 2112 0.79 160 0.03 0.33 Step 1332 of 2112 0.80 160 0.04 0.34 Step 1340 of 2112 0.80 160 0.04 0.35 Step 1348 of 2112 0.80 160 0.03 0.33 Step 1356 of 2112 0.80 160 0.03 0.33 Step 1364 of 2112 0.80 160 0.04 0.34 Step 1372 of 2112 0.80 160 0.03 0.34 Step 1380 of 2112 0.80 160 0.03 0.32 Step 1388 of 2112 0.81 160 0.03 0.32 Step 1396 of 2112 0.81 160 0.03 0.32 Step 1404 of 2112 0.81 160 0.03 0.32 Step 1412 of 2112 0.81 160 0.03 0.32 Step 1420 of 2112 0.81 160 0.03 0.32 Step 1428 of 2112 0.81 160 0.03 0.32 Step 1436 of 2112 0.81 160 0.03 0.32 Step 1444 of 2112 0.82 160 0.03 0.32 Step 1452 of 2112 0.82 192 0.03 0.36 Step 1460 of 2112 0.82 192 0.04 0.35 Step 1468 of 2112 0.82 192 0.04 0.35 Step 1476 of 2112 0.82 192 0.04 0.38 Step 1484 of 2112 0.82 192 0.03 0.37 Step 1492 of 2112 0.82 192 0.04 0.37 Step 1500 of 2112 0.82 192 0.04 0.37 Step 1508 of 2112 0.83 192 0.03 0.37 Step 1516 of 2112 0.83 192 0.04 0.37 Step 1524 of 2112 0.83 192 0.02 0.35 Step 1532 of 2112 0.83 192 0.02 0.35 Step 1540 of 2112 0.83 192 0.04 0.37 Step 1548 of 2112 0.83 192 0.03 0.37 Step 1556 of 2112 0.83 192 0.04 0.36 Step 1564 of 2112 0.84 192 0.04 0.35 Step 1572 of 2112 0.84 192 0.05 0.37 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.04 0.37 Step 1596 of 2112 0.84 192 0.04 0.36 Step 1604 of 2112 0.84 192 0.04 0.37 Step 1612 of 2112 0.84 192 0.04 0.37 Step 1620 of 2112 0.85 192 0.04 0.39 Step 1628 of 2112 0.85 192 0.04 0.38 Step 1636 of 2112 0.85 192 0.04 0.37 Step 1644 of 2112 0.85 192 0.05 0.37 Step 1652 of 2112 0.85 192 0.04 0.37 Step 1660 of 2112 0.85 192 0.04 0.36 Step 1668 of 2112 0.85 192 0.04 0.38 Step 1676 of 2112 0.86 192 0.04 0.37 Step 1684 of 2112 0.86 192 0.04 0.37 Step 1692 of 2112 0.86 192 0.04 0.36 Step 1700 of 2112 0.86 192 0.04 0.36 Step 1708 of 2112 0.86 192 0.04 0.37 Step 1716 of 2112 0.86 192 0.03 0.36 Step 1724 of 2112 0.86 192 0.03 0.36 Step 1732 of 2112 0.87 192 0.04 0.36 Step 1740 of 2112 0.87 192 0.03 0.37 Step 1748 of 2112 0.87 224 0.04 0.47 Step 1756 of 2112 0.87 224 0.04 0.49 Step 1764 of 2112 0.87 224 0.05 0.48 Step 1772 of 2112 0.87 224 0.04 0.51 Step 1780 of 2112 0.87 224 0.04 0.49 Step 1788 of 2112 0.88 224 0.03 0.47 Step 1796 of 2112 0.88 224 0.04 0.48 Step 1804 of 2112 0.88 224 0.04 0.47 Step 1812 of 2112 0.88 224 0.04 0.48 Step 1820 of 2112 0.88 224 0.04 0.49 Step 1828 of 2112 0.88 224 0.04 0.48 Step 1836 of 2112 0.88 224 0.05 0.50 Step 1844 of 2112 0.89 224 0.04 0.47 Step 1852 of 2112 0.89 224 0.04 0.48 Step 1860 of 2112 0.89 224 0.04 0.47 Step 1868 of 2112 0.89 224 0.03 0.47 Step 1876 of 2112 0.89 224 0.04 0.49 Step 1884 of 2112 0.89 224 0.04 0.47 Step 1892 of 2112 0.89 224 0.05 0.49 Step 1900 of 2112 0.90 224 0.04 0.48 Step 1908 of 2112 0.90 224 0.05 0.48 Step 1916 of 2112 0.90 224 0.04 0.47 Step 1924 of 2112 0.90 224 0.04 0.47 Step 1932 of 2112 0.90 224 0.05 0.48 Step 1940 of 2112 0.90 224 0.04 0.49 Step 1948 of 2112 0.90 224 0.03 0.47 Step 1956 of 2112 0.91 224 0.04 0.47 Step 1964 of 2112 0.91 224 0.04 0.50 Step 1972 of 2112 0.91 224 0.04 0.48 Step 1980 of 2112 0.91 224 0.04 0.49 Step 1988 of 2112 0.91 224 0.03 0.49 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.05 0.51 Step 2012 of 2112 0.92 256 0.05 0.52 Step 2020 of 2112 0.92 256 0.04 0.49 Step 2028 of 2112 0.92 256 0.05 0.48 Step 2036 of 2112 0.92 256 0.05 0.50 Step 2044 of 2112 0.92 256 0.05 0.49 Step 2052 of 2112 0.92 256 0.04 0.51 Step 2060 of 2112 0.92 256 0.03 0.48 Step 2068 of 2112 0.93 256 0.03 0.48 Step 2076 of 2112 0.93 256 0.03 0.49 Step 2084 of 2112 0.93 256 0.03 0.48 Step 2092 of 2112 0.93 256 0.05 0.50 Step 2100 of 2112 0.93 256 0.05 0.50 Step 2108 of 2112 0.93 256 0.05 0.50 EXTRACT_OBJECT: sdR-r2-00034590.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.95 0.00 .0001 0 0.95 0.00 .0002 0 0.95 0.00 .0003 1 0.95 7.79 .0004 1 0.95 7.27 .0005 1 0.95 7.55 .0006 1 0.95 7.31 .0007 2 0.95 7.36 .0008 2 0.95 8.21 .0009 2 0.95 7.71 .0010 2 0.95 7.50 .0011 1 0.95 7.45 .0012 2 0.95 7.44 .0013 1 0.95 7.51 .0014 1 0.95 7.61 .0015 1 0.95 7.51 .0016 1 0.95 8.14 .0017 2 0.95 7.82 .0018 1 0.95 7.84 .0019 1 0.95 7.93 .0020 1 0.95 7.99 .0021 1 0.95 8.03 .0022 1 0.95 8.80 .0023 3 0.95 8.29 .0024 2 0.95 7.95 .0025 2 0.95 7.72 .0026 2 0.95 7.38 .0027 2 0.95 7.64 .0028 2 0.95 7.45 .0029 2 0.95 8.17 .0030 2 0.95 7.69 .0031 4 0.95 7.67 .0032 4 0.95 7.61 .0033 4 0.95 7.88 .0034 2 0.95 8.39 .0035 2 0.95 7.86 .0036 2 0.95 7.67 .0037 2 0.95 7.95 .0038 2 0.95 7.83 .0039 2 0.95 8.17 .0040 2 0.95 7.42 .0041 2 0.95 7.56 .0042 2 0.95 7.93 .0043 2 0.95 7.81 .0044 2 0.95 8.30 .0045 2 0.95 7.97 .0046 2 0.95 7.83 .0047 2 0.95 7.67 .0048 2 0.95 7.84 .0049 2 0.95 7.64 .0050 2 0.95 7.69 .0051 2 0.95 7.78 .0052 2 0.95 7.91 .0053 2 0.95 7.71 .0054 2 0.95 8.00 .0055 2 0.95 7.72 .0056 2 0.95 7.72 .0057 2 0.95 7.68 .0058 2 0.95 7.82 .0059 2 0.95 7.99 .0060 2 0.95 7.98 .0061 2 0.95 7.82 .0062 2 0.95 8.03 .0063 3 0.95 8.31 .0064 2 0.95 9.19 .0065 2 0.95 7.90 .0066 2 0.95 8.06 .0067 2 0.95 8.07 .0068 2 0.95 8.22 .0069 2 0.95 8.24 .0070 2 0.95 7.89 .0071 2 0.95 8.79 .0072 3 0.95 8.59 .0073 2 0.95 9.54 .0074 2 0.95 8.64 .0075 2 0.95 8.17 .0076 2 0.95 8.23 .0077 2 0.95 8.40 .0078 3 0.95 8.73 .0079 2 0.95 8.76 .0080 2 0.95 8.50 .0081 2 0.95 8.65 .0082 2 0.95 8.93 .0083 2 0.95 8.46 .0084 2 0.95 9.28 .0085 3 0.95 8.52 .0086 2 0.95 9.38 .0087 3 0.95 8.43 .0088 3 0.95 8.70 .0089 3 0.95 8.46 .0090 3 0.95 9.03 .0091 3 0.95 8.79 .0092 3 0.95 8.57 .0093 3 0.95 8.58 .0094 3 0.95 8.65 .0095 3 0.95 8.33 .0096 3 0.95 8.83 .0097 3 0.95 8.71 .0098 3 0.95 8.57 .0099 3 0.95 8.69 .0100 3 0.95 8.81 .0101 2 0.95 8.92 .0102 3 0.95 8.70 .0103 2 0.95 9.07 .0104 2 0.95 8.68 .0105 2 0.95 8.79 .0106 2 0.95 9.76 .0107 2 0.95 9.32 .0108 3 0.95 9.48 .0109 2 0.95 8.88 .0110 3 0.95 9.43 .0111 2 0.95 9.48 .0112 2 0.95 9.61 .0113 2 0.95 9.17 .0114 2 0.95 9.64 .0115 2 0.95 9.88 .0116 2 0.95 9.73 .0117 2 0.95 10.16 .0118 2 0.95 9.84 .0119 3 0.95 9.52 .0120 2 0.95 9.87 .0121 3 0.95 9.86 .0122 2 0.95 10.32 .0123 2 0.95 10.00 .0124 2 0.95 10.59 .0125 2 0.95 10.68 .0126 3 0.95 10.66 .0127 2 0.95 10.11 .0128 2 0.95 10.44 .0129 2 0.95 10.48 .0130 2 0.95 10.47 .0131 2 0.95 10.67 .0132 2 0.95 10.21 .0133 2 0.95 10.43 .0134 2 0.95 10.67 .0135 2 0.95 10.28 .0136 2 0.95 11.85 .0137 2 0.95 11.98 .0138 2 0.95 10.54 .0139 2 0.95 11.39 .0140 2 0.95 10.72 .0141 2 0.95 10.83 .0142 2 0.95 10.73 .0143 2 0.95 10.90 .0144 2 0.95 10.79 .0145 2 0.95 10.84 .0146 2 0.95 11.22 .0147 2 0.95 10.77 .0148 2 0.95 11.36 .0149 2 0.95 11.55 .0150 2 0.95 11.58 .0151 2 0.95 12.49 .0152 2 0.95 11.53 .0153 2 0.95 11.93 .0154 2 0.95 11.53 .0155 2 0.95 11.28 .0156 2 0.95 11.84 .0157 2 0.95 11.91 .0158 2 0.95 12.00 .0159 2 0.95 11.70 .0160 2 0.95 13.43 .0161 2 0.95 12.22 .0162 2 0.95 12.22 .0163 2 0.95 11.99 .0164 2 0.95 11.90 .0165 2 0.95 12.37 .0166 2 0.95 12.22 .0167 2 0.95 12.72 .0168 2 0.95 12.36 .0169 3 0.95 12.21 .0170 2 0.95 12.22 .0171 2 0.95 12.38 .0172 2 0.95 12.36 .0173 2 0.95 12.70 .0174 2 0.95 12.13 .0175 2 0.95 12.36 .0176 2 0.95 12.65 .0177 3 0.95 12.87 .0178 2 0.95 12.22 .0179 2 0.95 12.29 .0180 2 0.95 12.28 .0181 2 0.95 12.15 .0182 2 0.95 11.99 .0183 2 0.95 13.01 .0184 2 0.95 13.14 .0185 2 0.95 12.71 .0186 2 0.95 12.81 .0187 1 0.95 12.93 .0188 1 0.95 12.85 .0189 1 0.95 12.47 .0190 1 0.95 12.56 .0191 2 0.95 12.95 .0192 2 0.95 12.70 .0193 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11.34 .0134 2 0.95 11.76 .0135 2 0.95 11.52 .0136 2 0.95 11.96 .0137 3 0.95 12.37 .0138 2 0.95 11.74 .0139 2 0.95 11.83 .0140 2 0.95 11.91 .0141 2 0.95 11.91 .0142 2 0.95 11.85 .0143 2 0.95 11.93 .0144 2 0.95 11.82 .0145 2 0.95 12.10 .0146 2 0.95 12.33 .0147 2 0.95 11.91 .0148 2 0.95 12.39 .0149 2 0.95 12.65 .0150 2 0.95 12.58 .0151 2 0.95 13.01 .0152 2 0.95 12.67 .0153 2 0.95 12.96 .0154 2 0.95 12.58 .0155 2 0.95 12.50 .0156 2 0.95 12.99 .0157 2 0.95 12.99 .0158 2 0.95 13.17 .0159 2 0.95 12.92 .0160 3 0.95 13.31 .0161 2 0.95 13.35 .0162 2 0.95 13.32 .0163 2 0.95 13.32 .0164 2 0.95 13.30 .0165 2 0.95 13.68 .0166 3 0.95 13.13 .0167 2 0.95 13.51 .0168 2 0.95 13.74 .0169 2 0.95 13.68 .0170 2 0.95 13.47 .0171 2 0.95 13.66 .0172 2 0.95 13.89 .0173 2 0.95 14.05 .0174 2 0.95 13.71 .0175 2 0.95 13.90 .0176 2 0.95 14.06 .0177 2 0.95 14.36 .0178 2 0.95 13.92 .0179 2 0.95 13.80 .0180 2 0.95 13.98 .0181 2 0.95 13.79 .0182 2 0.95 13.68 .0183 2 0.95 14.17 .0184 3 0.95 14.22 .0185 3 0.95 13.84 .0186 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.1648 2 0.92 4.76 .1649 2 0.92 4.68 .1650 3 0.92 4.60 .1651 3 0.92 4.50 .1652 3 0.92 4.65 .1653 1 0.92 4.83 .1654 1 0.92 4.46 .1655 2 0.92 4.76 .1656 1 0.92 4.71 .1657 2 0.92 4.42 .1658 1 0.92 4.56 .1659 2 0.92 4.66 .1660 3 0.92 4.61 .1661 2 0.92 4.75 .1662 2 0.92 4.84 .1663 2 0.92 5.05 .1664 3 0.92 4.96 .1665 2 0.92 4.61 .1666 3 0.92 4.59 .1667 3 0.92 4.80 .1668 2 0.92 4.65 .1669 1 0.92 4.29 .1670 2 0.92 4.25 .1671 1 0.92 4.71 .1672 1 0.92 4.44 .1673 2 0.92 4.74 .1674 1 0.92 4.63 .1675 2 0.92 4.74 .1676 1 0.92 4.73 .1677 1 0.92 4.78 .1678 1 0.92 5.09 .1679 1 0.92 4.47 .1680 1 0.92 4.87 .1681 1 0.92 4.69 .1682 2 0.92 4.60 .1683 1 0.92 4.66 .1684 4 0.92 4.72 .1685 3 0.92 4.62 .1686 2 0.92 4.55 .1687 2 0.92 4.45 .1688 2 0.92 4.67 .1689 1 0.92 4.74 .1690 2 0.92 4.72 .1691 3 0.92 4.54 .1692 3 0.92 4.72 .1693 2 0.92 4.65 .1694 4 0.92 4.33 .1695 2 0.92 4.25 .1696 3 0.92 4.34 .1697 1 0.92 4.46 .1698 3 0.92 4.40 .1699 1 0.92 4.42 .1700 1 0.92 4.24 .1701 2 0.92 4.65 .1702 2 0.92 4.71 .1703 2 0.92 4.48 .1704 1 0.92 4.55 .1705 2 0.92 4.56 .1706 3 0.92 4.51 .1707 3 0.92 4.32 .1708 1 0.92 4.48 .1709 1 0.92 4.27 .1710 3 0.92 4.42 .1711 2 0.92 4.59 .1712 3 0.92 4.34 .1713 1 0.92 4.50 .1714 3 0.92 4.20 .1715 3 0.92 4.61 .1716 1 0.92 4.38 .1717 2 0.92 4.31 .1718 1 0.92 4.08 .1719 4 0.92 4.30 .1720 2 0.92 4.33 .1721 1 0.92 4.30 .1722 2 0.92 4.47 .1723 2 0.92 5.01 .1724 4 0.92 4.15 .1725 2 0.92 4.23 .1726 1 0.92 4.46 .1727 1 0.92 4.08 .1728 1 0.92 4.13 .1729 1 0.92 4.31 .1730 1 0.92 4.25 .1731 2 0.92 4.04 .1732 2 0.92 4.42 .1733 1 0.92 4.22 .1734 1 0.92 4.09 .1735 2 0.92 4.02 .1736 2 0.92 4.15 .1737 5 0.92 4.03 .1738 2 0.92 4.10 .1739 3 0.92 4.14 .1740 2 0.92 4.20 .1741 2 0.92 4.41 .1742 2 0.92 4.33 .1743 2 0.92 4.36 .1744 2 0.92 4.38 .1745 2 0.92 4.25 .1746 1 0.92 4.17 .1747 3 0.92 4.35 .1748 2 0.92 4.26 .1749 1 0.92 4.22 .1750 1 0.92 4.28 .1751 2 0.92 4.52 .1752 1 0.92 4.23 .1753 1 0.92 4.22 .1754 1 0.92 4.28 .1755 1 0.92 4.16 .1756 3 0.92 4.13 .1757 3 0.92 4.39 .1758 3 0.92 4.27 .1759 3 0.92 4.30 .1760 3 0.92 4.38 .1761 1 0.92 4.33 .1762 1 0.92 4.69 .1763 2 0.92 4.21 .1764 2 0.92 4.30 .1765 3 0.92 4.17 .1766 2 0.92 4.25 .1767 1 0.92 4.17 .1768 3 0.92 4.22 .1769 2 0.92 4.16 .1770 1 0.92 4.19 .1771 2 0.92 4.53 .1772 3 0.92 4.40 .1773 3 0.92 4.16 .1774 2 0.92 4.15 .1775 1 0.92 4.21 .1776 1 0.92 3.99 .1777 1 0.92 4.36 .1778 2 0.92 4.40 .1779 3 0.92 3.98 .1780 3 0.92 4.22 .1781 4 0.92 4.09 .1782 3 0.92 4.17 .1783 2 0.92 4.40 .1784 2 0.92 4.10 .1785 3 0.92 4.03 .1786 3 0.92 4.37 .1787 1 0.92 4.23 .1788 3 0.92 4.01 .1789 2 0.92 4.15 .1790 2 0.92 4.13 .1791 2 0.92 4.40 .1792 2 0.92 4.55 .1793 1 0.92 4.38 .1794 1 0.92 4.31 .1795 2 0.92 4.34 .1796 1 0.92 4.29 .1797 2 0.92 4.17 .1798 3 0.92 4.18 .1799 3 0.92 4.60 .1800 1 0.92 4.30 .1801 2 0.92 4.39 .1802 2 0.92 4.18 .1803 2 0.92 4.22 .1804 2 0.92 4.33 .1805 2 0.92 4.57 .1806 1 0.92 4.46 .1807 2 0.92 4.48 .1808 1 0.92 4.38 .1809 2 0.92 4.27 .1810 1 0.92 4.17 .1811 1 0.92 4.33 .1812 1 0.92 4.28 .1813 2 0.92 4.29 .1814 2 0.92 4.53 .1815 4 0.92 4.30 .1816 3 0.92 4.17 .1817 3 0.92 4.43 .1818 3 0.92 4.20 .1819 4 0.92 4.52 .1820 2 0.92 4.59 .1821 1 0.92 4.35 .1822 2 0.92 4.35 .1823 3 0.92 4.41 .1824 3 0.92 4.35 .1825 3 0.92 4.36 .1826 3 0.92 4.27 .1827 4 0.92 4.54 .1828 2 0.92 4.72 .1829 2 0.92 4.76 .1830 2 0.92 4.22 .1831 2 0.92 4.46 .1832 2 0.92 4.13 .1833 1 0.92 4.29 .1834 2 0.92 4.29 .1835 2 0.92 4.29 .1836 2 0.92 4.09 .1837 2 0.92 4.33 .1838 1 0.92 3.98 .1839 1 0.92 4.16 .1840 3 0.92 4.24 .1841 2 0.92 4.17 .1842 2 0.92 4.09 .1843 3 0.92 4.17 .1844 1 0.92 4.22 .1845 1 0.92 4.28 .1846 2 0.92 4.24 .1847 1 0.92 4.32 .1848 1 0.92 4.30 .1849 2 0.92 4.16 .1850 1 0.92 4.21 .1851 2 0.92 4.28 .1852 2 0.92 4.03 .1853 2 0.92 4.15 .1854 1 0.92 4.24 .1855 2 0.92 4.40 .1856 2 0.92 4.45 .1857 2 0.92 4.45 .1858 2 0.92 4.66 .1859 2 0.92 4.51 .1860 2 0.92 4.36 .1861 2 0.92 4.64 .1862 2 0.92 4.63 .1863 3 0.92 4.74 .1864 3 0.92 4.80 .1865 2 0.92 4.54 .1866 2 0.92 4.89 .1867 3 0.92 4.44 .1868 4 0.92 4.64 .1869 3 0.92 4.68 .1870 1 0.92 4.56 .1871 3 0.92 4.65 .1872 2 0.92 5.07 .1873 2 0.92 4.66 .1874 2 0.92 4.59 .1875 1 0.92 4.50 .1876 1 0.92 4.38 .1877 1 0.92 4.31 .1878 2 0.92 4.47 .1879 1 0.92 4.64 .1880 1 0.92 4.53 .1881 1 0.92 4.37 .1882 1 0.92 4.46 .1883 1 0.92 4.40 .1884 1 0.92 4.55 .1885 2 0.92 4.35 .1886 1 0.92 4.18 .1887 1 0.92 4.14 .1888 3 0.92 4.33 .1889 2 0.92 4.32 .1890 2 0.92 4.22 .1891 2 0.92 4.43 .1892 1 0.92 4.28 .1893 1 0.92 4.45 .1894 1 0.92 4.47 .1895 1 0.92 4.63 .1896 1 0.92 4.34 .1897 1 0.92 4.53 .1898 2 0.92 4.14 .1899 1 0.92 4.14 .1900 1 0.92 4.10 .1901 2 0.92 4.29 .1902 2 0.92 4.31 .1903 2 0.92 4.13 .1904 1 0.92 4.12 .1905 3 0.92 4.33 .1906 3 0.92 3.97 .1907 2 0.92 4.14 .1908 2 0.92 4.14 .1909 2 0.92 4.00 .1910 2 0.92 4.12 .1911 1 0.92 4.04 .1912 3 0.92 4.10 .1913 1 0.92 4.02 .1914 2 0.92 3.82 .1915 3 0.92 3.91 .1916 3 0.92 3.95 .1917 4 0.92 3.84 .1918 2 0.92 3.98 .1919 2 0.92 3.94 .1920 4 0.92 3.65 .1921 4 0.92 3.64 .1922 3 0.92 3.66 .1923 1 0.92 3.79 .1924 2 0.92 3.66 .1925 2 0.92 3.94 .1926 2 0.92 3.83 .1927 3 0.92 3.78 .1928 2 0.92 3.71 .1929 3 0.92 3.62 .1930 3 0.92 3.81 .1931 3 0.92 3.84 .1932 2 0.92 4.07 .1933 3 0.92 3.95 .1934 1 0.92 4.11 .1935 3 0.92 3.88 .1936 1 0.92 4.00 .1937 2 0.92 4.12 .1938 3 0.92 4.08 .1939 2 0.92 4.40 .1940 3 0.92 4.04 .1941 4 0.92 4.07 .1942 3 0.92 4.06 .1943 1 0.92 3.93 .1944 1 0.92 4.08 .1945 2 0.92 4.14 .1946 3 0.92 4.16 .1947 3 0.92 4.05 .1948 2 0.92 3.99 .1949 3 0.92 3.89 .1950 1 0.92 4.17 .1951 1 0.92 3.90 .1952 2 0.92 3.92 .1953 3 0.92 4.09 .1954 2 0.92 3.94 .1955 1 0.92 3.91 .1956 1 0.92 3.86 .1957 2 0.92 4.01 .1958 2 0.92 3.94 .1959 1 0.92 3.88 .1960 1 0.92 3.91 .1961 1 0.92 4.08 .1962 2 0.92 3.95 .1963 2 0.92 3.83 .1964 2 0.92 3.84 .1965 2 0.92 3.60 .1966 3 0.92 3.72 .1967 2 0.92 4.12 .1968 2 0.92 4.00 .1969 4 0.92 3.86 .1970 3 0.92 4.05 .1971 2 0.92 3.65 .1972 1 0.92 3.79 .1973 3 0.92 4.10 .1974 2 0.92 3.96 .1975 2 0.92 3.77 .1976 2 0.92 3.91 .1977 3 0.92 4.17 .1978 3 0.92 4.18 .1979 2 0.92 4.02 .1980 3 0.92 3.99 .1981 2 0.92 3.99 .1982 2 0.92 3.88 .1983 2 0.92 4.01 .1984 4 0.92 3.76 .1985 2 0.92 3.95 .1986 3 0.92 3.92 .1987 3 0.92 3.92 .1988 4 0.92 3.80 .1989 3 0.92 4.00 .1990 4 0.92 3.77 .1991 3 0.92 3.85 .1992 2 0.92 3.93 .1993 2 0.92 3.73 .1994 2 0.92 3.79 .1995 2 0.92 3.85 .1996 2 0.92 3.86 .1997 2 0.92 4.08 .1998 2 0.92 3.96 .1999 3 0.92 3.72 .2000 5 0.92 3.83 .2001 1 0.92 4.04 .2002 1 0.92 3.93 .2003 2 0.92 3.91 .2004 1 0.92 3.87 .2005 1 0.92 3.77 .2006 3 0.92 3.77 .2007 4 0.92 3.91 .2008 2 0.92 4.03 .2009 2 0.92 3.73 .2010 3 0.92 3.83 .2011 2 0.92 3.90 .2012 4 0.92 3.72 .2013 1 0.92 3.76 .2014 2 0.92 3.69 .2015 2 0.92 3.95 .2016 2 0.92 3.98 .2017 1 0.92 3.97 .2018 3 0.92 4.04 .2019 3 0.92 3.79 .2020 3 0.92 3.77 .2021 3 0.92 3.86 .2022 2 0.92 3.82 .2023 3 0.92 3.83 .2024 2 0.92 3.84 .2025 3 0.92 3.77 .2026 2 0.92 3.75 .2027 2 0.92 3.60 .2028 2 0.92 3.82 .2029 1 0.92 3.65 .2030 1 0.92 3.76 .2031 2 0.92 3.79 .2032 3 0.92 3.68 .2033 2 0.92 3.69 .2034 1 0.92 3.52 .2035 3 0.92 3.55 .2036 2 0.92 3.61 .2037 1 0.92 3.57 .2038 2 0.92 3.61 .2039 2 0.92 3.50 .2040 1 0.92 3.34 .2041 2 0.92 3.42 .2042 2 0.92 3.48 .2043 2 0.92 3.42 .2044 1 0.92 3.44 .2045 2 0.92 3.39 .2046 1 0.92 3.34 .2047 3 0.92 3.31 EXTRACT_IMAGE: sdR-r2-00034590.fit: masked 2327 pixels DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 394 low points in trace 54 DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 425 low points in trace 184 DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 338 low points in trace 224 DIVIDEFLAT: sdR-r2-00034590.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034590.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 741 low points in trace 276 DIVIDEFLAT: sdR-r2-00034590.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034590.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034590.fit: Warning: Reject 455 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034590.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034590.fit: sky shift reference line, offset: 7794.1200 -0.032491503 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 0 4.7441350 133.55733 -0.052989508 0.99524829 2395.1981 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 6 4.8023225 -280.68894 -0.042868827 1.0300464 2403.9985 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 13 8.8143986 -208.23009 -0.066534643 0.99424981 2364.5933 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 18 11.232321 -208.25176 -0.014203176 0.96921703 2434.6323 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 26 14.778370 67.321145 -0.033494015 0.96258366 2484.5481 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 52 11.448965 -132.54197 -0.055512025 0.98393093 2390.7170 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 60 9.6964827 -126.01923 -0.039220126 0.98929295 2491.2591 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 63 10.303063 -173.65192 -0.080211311 0.98824927 2338.8543 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 82 5.6039736 -135.10645 -0.038610185 0.98357541 2396.4119 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 84 7.5648624 -244.11888 -0.051559799 0.98528787 2275.1312 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 109 7.1176563 -286.48550 -0.085296979 1.0082170 2314.9996 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 114 7.7689348 -267.39188 -0.059539972 0.98534873 2374.1431 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 131 7.5974194 -158.17358 -0.082132936 0.96537440 2322.5269 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 153 7.8496875 120.85072 -0.023315737 0.97653636 2441.3354 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 176 20.787644 144.13784 -0.021510287 0.96922251 2463.7862 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 180 29.213375 120.83639 -0.041842521 0.96520556 2479.3333 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 184 17.699455 173.98922 -0.067270341 0.96033247 2497.0448 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 185 17.740268 85.079243 -0.057402511 1.0004021 2393.3622 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 186 15.211044 103.94930 -0.057323262 0.98797711 2550.3194 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 201 14.849944 82.900198 -0.097379332 0.98854720 2402.6685 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 204 13.902309 120.93280 -0.064218958 1.0040491 2411.5017 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 206 10.968771 161.96118 -0.041490831 0.97144773 2422.5947 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 213 16.477202 114.03824 -0.097626433 0.95354063 2422.5557 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 235 9.6500803 20.445755 -0.032854020 0.97433101 2433.8280 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 257 13.675097 99.348034 -0.040798292 0.94603322 2487.0236 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 259 23.704664 232.62837 -0.057466384 0.96039339 2475.4295 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 260 12.480251 89.945727 -0.069513755 0.97293287 2340.6226 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 261 6.1803857 149.13866 -0.036947659 0.99067404 2331.3463 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 265 14.553286 88.027961 -0.042968419 0.95289174 2511.3806 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 271 14.996202 83.090245 -0.044176950 0.95959996 2564.3472 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 276 10.036204 62.626865 -0.091515331 0.97366509 2477.6048 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 281 4.9836440 -56.591031 -0.068145139 0.96340186 2477.8456 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 284 18.744264 -31.212618 -0.054709778 0.96101670 2373.9076 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 307 6.6884292 6.5367783 -0.022011981 1.0131956 2404.1408 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 0 308 9.6335375 206.97895 -0.026160921 1.0038989 2392.7026 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 0 7.1250319 0.00013963358 -0.053151274 0.97705361 1.0000390 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 274 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 0 3.7656757 -0.011132302 -0.049151218 0.99639203 1.0006451 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 274 of 315 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.081643-0.0491510.003555 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 0 2.3879088 72.826296 -0.016842842 1.0138694 756.62494 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 6 1.3825958 -292.69375 -0.017252332 0.90818177 735.53234 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 13 1.3724704 -282.20393 -0.072448352 0.96564008 773.81277 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 18 3.6436520 -306.64996 -0.049288944 0.95690130 796.59461 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 26 2.7925521 -16.946626 0.089148299 1.0200792 772.10110 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 52 3.0353792 -236.00140 0.084544747 0.97353123 745.52727 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 60 2.2139006 -201.89161 -0.067863687 0.93511042 851.09500 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 63 0.54146494 -256.84032 -0.070290152 1.0126717 748.76186 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 82 2.7686524 -165.63044 0.0021014107 0.95323432 758.69116 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 84 Infinity 2.7544498e-23 1.1655654e-06 1.0000004 0.0000000 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 109 2.6981444 -333.36433 -0.031704862 0.94240627 804.67231 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 114 1.3954445 -331.45196 -0.14292502 0.93657023 776.51114 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 131 1.5187591 -242.41494 -0.012955114 1.0635425 705.36612 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 153 1.8223680 55.426310 -0.025412744 0.95648494 759.54184 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 176 11.157375 106.49509 -0.067213817 0.96451356 754.15335 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 180 6.3828961 76.139833 -0.066897553 0.93335258 760.81446 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 184 3.3266213 102.79031 -0.0092096147 1.0179093 793.27123 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 185 7.8947193 56.401806 -0.0036221622 0.95611859 747.76537 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 186 2.1154836 49.300502 -0.038149628 1.0239609 763.41240 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 201 3.4176132 58.732232 -0.058103729 0.94473713 760.37036 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 204 2.3763826 41.421090 -0.038437583 1.0617893 800.64834 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 206 2.9282259 101.06054 -0.062335879 0.93725002 753.12533 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 213 2.5947628 32.429343 -0.055816523 1.0247287 754.70512 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 235 2.7492793 -54.287142 0.012463491 0.93618490 821.61523 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 257 4.6068627 54.618513 -0.026159442 0.97236576 774.50332 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 259 2.0855196 201.10400 0.018592674 0.97270775 688.44448 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 260 1.9027002 3.1165759 -0.021958625 1.0000486 745.28484 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 261 0.90897816 64.414799 0.0048029711 1.0405663 799.75065 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 265 1.8433841 51.715001 -0.058149649 0.98480406 788.21795 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 271 1.5426889 60.099624 -0.055287754 0.92567486 766.22321 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 276 2.9806046 -4.1272858 -0.033625199 1.0514484 834.46844 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 281 1.5159948 -44.130337 -0.00030596439 0.92644192 733.84890 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 284 1.0233458 -99.803000 -0.11424123 1.0389252 773.32650 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 307 0.92018106 -17.337279 -0.075550393 0.98341878 749.02355 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 1 308 2.1536037 195.80549 0.095450970 0.98993661 740.11846 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 1 1.7979375 0.00069843860 -0.031819289 0.97905495 0.99763939 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 1 1.6123183 -0.0011348899 -0.031873997 0.98152787 0.99897263 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.064366-0.0318740.008037 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 0 0.43169138 15.704988 -0.078697073 1.2003982 148.21145 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 6 -0.25000000 -430.92877 0.0000000 1.0000000 -253.65506 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 13 -0.25000000 -417.83636 0.0000000 1.0000000 -270.90820 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 18 -0.25000000 -370.70731 0.0000000 1.0000000 -231.48816 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 26 1.3130409 -67.315001 0.013092890 1.0106116 179.99983 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 52 -0.25000000 -318.97882 0.0000000 1.0000000 -195.16681 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 60 -0.25000000 -284.63773 0.0000000 1.0000000 -109.94511 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 63 -0.25000000 -312.35114 0.0000000 1.0000000 -208.83788 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 82 -0.25000000 -258.42361 0.0000000 1.0000000 -96.211868 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 84 -0.25000000 -420.37442 0.0000000 1.0000000 -225.56883 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 109 -0.25000000 -379.92487 0.0000000 1.0000000 -182.07008 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 114 -0.25000000 -353.53040 0.0000000 1.0000000 -217.29033 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 131 -0.25000000 -261.09070 0.0000000 1.0000000 -84.907753 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 153 0.62634381 37.487203 -0.026326970 0.77717313 171.50293 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 176 1.9478095 65.914525 -0.25382906 0.83796081 107.11537 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 180 1.4137061 77.270124 0.18722695 1.0862277 97.707591 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 184 1.1890310 82.834753 -0.22170033 0.76882085 164.92898 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 185 2.6758951 55.409517 0.093625956 0.81402076 114.27670 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 186 2.4186680 37.580967 -0.16585653 1.0575544 112.62116 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 201 0.48513624 3.6170773 -0.089486786 0.79923185 0.0000000 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 204 2.1637307 82.146784 0.14482920 0.60000000 31.834253 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 206 1.2551038 86.229951 -0.41621976 0.74890574 145.98648 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 213 2.9376942 58.192244 -0.18618290 0.60000000 160.72481 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 235 0.30779826 -52.022090 -0.21809504 1.2848997 132.45797 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 257 4.1588400 42.239683 -0.35022681 1.0824004 117.60560 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 259 2.4601620 149.09199 -0.50876365 1.2063894 157.62892 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 260 0.28186506 -29.375008 -0.24290675 1.1790528 123.86692 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 261 0.69083896 38.500765 -0.32889877 1.0319358 150.68508 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 265 0.95119811 51.047448 0.045476753 0.89901840 159.98260 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 271 2.2625406 12.394417 0.12928083 0.92268562 157.58460 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 276 2.2915581 -20.353956 -0.26076807 0.99210947 124.11670 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 281 2.1514879 -106.97654 -0.026550166 0.86166129 164.39135 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 284 5.0876549 -69.576326 0.041513102 0.60000000 118.33934 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 307 1.1239313 -33.382462 -0.18564714 1.0094632 147.83108 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 2 308 0.77058808 217.49085 0.36050177 0.76225737 112.07053 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 2 0.61827334 0.011932221 -0.11211453 0.94993733 0.97026610 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 180 of 180 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.144606-0.1121150.045517 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 0 0.84530779 11.378381 0.13580555 1.2010702 251.70299 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 6 -0.25000000 -522.16711 0.0000000 1.0000000 -168.58148 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 13 -0.25000000 -439.11356 0.0000000 1.0000000 -86.646645 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 18 -0.25000000 -401.25412 0.0000000 1.0000000 -66.265511 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 26 0.56305626 -47.883988 -0.070705541 1.0943088 262.97962 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 52 15.074581 -331.99021 1.0000000 1.0176020 400.70861 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 60 0.86032977 -271.50225 -0.075381688 1.0324995 280.88546 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 63 -0.25000000 -346.89658 0.0000000 1.0000000 -62.044907 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 82 0.94552081 -167.48155 -0.22423783 1.0039741 257.44043 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 84 -0.25000000 -373.42075 0.0000000 1.0000000 -34.461830 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 109 -0.25000000 -345.62836 0.0000000 1.0000000 -67.565071 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 114 -0.25000000 -326.89493 0.0000000 1.0000000 -100.21171 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 131 0.34742687 -142.20688 -0.21209732 0.97270646 246.73282 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 153 2.5518041 96.590420 -0.22595184 0.83637452 213.54119 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 176 0.81588575 77.581652 -0.10460852 1.1160943 219.19398 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 180 0.94266313 52.077528 -0.065023408 0.92354515 264.33045 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 184 0.64727998 104.20468 0.019415939 0.94913402 214.65025 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 185 0.44237319 27.420309 -0.10535110 1.1183022 231.99682 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 186 1.1076952 41.831812 0.020417063 1.0300578 220.43530 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 201 0.85828146 45.091139 -0.41810948 1.3807447 188.64217 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 204 0.55125652 59.811430 -0.31707006 1.2095964 228.49063 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 206 0.65369842 151.69059 -0.16471467 0.87923314 248.06249 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 213 0.53363675 55.645219 -0.14536260 1.0984758 352.05526 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 235 0.53423901 -68.672595 -0.044837428 1.3807537 247.02480 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 257 1.0686346 36.669620 -0.12525901 1.2180504 245.88856 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 259 1.7173998 151.86547 0.00065753145 0.95614599 279.97202 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 260 1.3606871 -17.985888 -0.34390804 1.2257292 229.41021 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 261 0.62980662 56.871626 -0.14278536 0.86237171 291.28779 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 265 2.3068343 6.0383010 -0.21060324 1.2487917 245.50628 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 271 0.82709136 16.131468 0.028042302 0.74092421 231.70864 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 276 1.2968495 -8.1066667 -0.028378024 0.88288176 248.08271 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 281 0.50422787 -107.41225 -0.29246725 1.1057122 282.19239 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 284 1.2554437 -73.598187 -0.22123429 0.80381530 259.63097 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 307 1.7986164 -50.213287 0.015576082 0.74624945 253.63799 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 3 308 0.84258894 263.60164 0.14723022 0.99956235 268.26217 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 3 0.73140943 0.0063002702 -0.10280188 1.0315164 0.97559163 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 243 of 243 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.135293-0.1028020.025830 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 0 1.1753736 64.429562 -0.15748044 0.88148911 245.08582 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 6 -0.25000000 -440.13187 0.0000000 1.0000000 -148.45303 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 13 -0.25000000 -455.62662 0.0000000 1.0000000 -73.351913 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 18 -0.25000000 -355.82047 0.0000000 1.0000000 -131.04633 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 26 0.67804500 -37.786775 0.034254802 0.78129128 338.29986 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 52 -0.25000000 -352.13422 0.0000000 1.0000000 -50.501976 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 60 1.1699324 -261.90845 0.11610003 1.0652503 325.03344 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 63 -0.25000000 -369.87997 0.0000000 1.0000000 -46.286942 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 82 0.56276363 -145.86316 -0.031721265 1.1720538 278.80450 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 84 -0.25000000 -363.21826 0.0000000 1.0000000 -52.049488 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 109 2.7022684 -256.29303 -0.36580576 0.60000000 328.51589 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 114 17.026063 -309.65066 1.0000000 2.0000000 312.69572 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 131 1.8709633 -187.74750 -0.081493627 1.0816563 318.19984 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 153 1.6042391 99.982807 0.19401621 1.1356848 288.58129 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 176 1.3229478 83.717064 -0.11219503 1.0509511 253.37388 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 180 2.3723989 58.976129 0.075080255 0.93300840 310.30313 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 184 1.3214052 99.709847 0.047638995 0.90775607 237.98375 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 185 1.4221393 48.103770 -0.26664783 0.97511169 261.38908 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 186 1.4292409 45.326460 0.0084789014 0.80640919 320.14270 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 201 0.73712497 54.475824 -0.030691744 0.99119044 270.74918 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 204 1.8025030 80.367945 -0.044997326 0.83061499 331.91710 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 206 2.2810732 111.30203 -0.14725798 0.89006384 313.52598 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 213 0.62688329 94.819118 0.052438501 0.95110980 273.64021 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 235 0.42590710 2.0947559 -0.022564031 0.88927508 279.62640 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 257 0.56672580 32.308977 0.00083428440 1.0795354 309.28490 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 259 1.0454183 176.19119 0.050820008 1.0700425 283.20045 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 260 4.0620613 10.143280 0.094249211 1.2889679 276.41333 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 261 1.5708138 87.324700 0.30668966 0.97882165 260.03267 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 265 1.3074789 32.504827 -0.022036750 0.87616215 324.02839 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 271 1.3274003 23.626916 -0.21486517 0.98723754 290.09290 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 276 1.1947414 -38.980443 0.044311374 1.1115799 281.06138 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 281 0.98523209 -99.985325 -0.17131429 1.1786435 289.95951 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 284 0.46518129 -105.19598 -0.071186684 1.0226540 289.39361 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 307 0.89520551 -36.533877 -0.17623270 0.80766563 227.25866 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 4 308 0.75543142 318.17853 0.14587386 0.99575267 255.18965 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 4 0.81730714 0.0049125456 -0.022866301 0.97497946 0.98476649 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 242 of 243 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 4 0.75689251 0.0027363941 -0.024450143 0.97468233 0.98779642 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 242 of 243 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.056942-0.0244500.022176 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 0 0.91800567 78.456078 -0.24283446 1.0558144 371.70100 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 6 -0.25000000 -439.57050 0.0000000 1.0000000 -59.761543 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 13 1.7695405 -299.56540 0.11237817 1.1136173 366.53276 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 18 0.62613725 -319.46534 -0.10291859 1.1310277 377.98001 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 26 2.0564674 -9.8559382 0.071185029 0.85174566 394.59767 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 52 0.78013502 -264.36872 0.089764506 1.0306597 373.16304 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 60 0.78295011 -185.75098 0.14751570 0.81312390 395.05088 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 63 5.0834013 -316.79891 0.12662245 1.2900707 415.97511 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 82 0.71899012 -59.285002 0.0082342381 0.80427840 315.09696 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 84 0.45680808 -233.61044 -0.16055299 0.96206435 373.22920 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 109 2.4672519 -204.12121 0.087725527 1.2147902 382.49955 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 114 0.28488317 -173.10691 0.29345270 0.90522482 379.96093 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 131 2.5699337 -66.730063 0.17286819 1.1218955 352.42273 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 153 0.22670299 143.02321 -0.082016004 1.0159117 398.90570 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 176 0.48622167 84.202981 0.026467845 1.1102991 374.53785 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 180 1.6443244 63.831974 -0.080880712 1.0233519 383.46864 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 184 2.1007633 97.783504 -0.054401270 0.96896022 394.96593 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 185 2.1917022 63.608012 -0.17590193 1.0056161 364.36424 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 186 0.17946996 35.706823 -0.046206999 1.1210798 420.56032 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 201 2.7559554 83.222857 -0.10392021 1.0013507 397.58309 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 204 1.0831832 129.55136 0.014809183 1.0107307 356.12429 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 206 0.076096354 -3.3660438 1.0000000 0.60000000 1680.1427 LOCATESKYLINES_2: sdR-r2-00034590.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 213 0.85419008 124.95965 0.035694367 1.3241653 366.67923 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 235 2.4663816 42.222522 -0.064249144 1.0729313 339.43609 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 257 0.85124539 91.843757 -0.041878444 0.93720125 396.88488 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 259 1.2425183 199.40410 -0.097573484 0.93404160 364.50154 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 260 0.31282249 47.908030 -0.21561018 1.1495016 353.08047 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 261 0.54559048 72.597646 -0.058054841 1.0930155 435.12347 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 265 0.83123291 62.127539 -0.13105371 1.1955741 409.48408 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 271 0.11326058 67.599166 -0.11914506 0.98494186 330.62637 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 276 1.5833768 40.238262 -0.20122856 1.1213210 297.68177 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 281 0.49244525 -31.178763 -0.084013726 1.1565059 288.75129 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 284 0.81658227 -39.598806 -0.14793637 0.92889650 386.06765 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 307 2.9008286 -25.108845 -0.015736896 1.1678525 325.36851 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 5 308 1.2778483 411.48713 -0.059339193 1.3678455 402.31572 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 5 1.0614486 0.0034538572 -0.044354060 1.0577028 0.98449840 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 296 of 297 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 5 0.97372313 0.0043923098 -0.052095814 1.0481921 0.98507494 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 296 of 297 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.084587-0.0520960.018470 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 0 0.83726471 84.464620 -0.16746294 0.81241171 850.64003 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 6 1.6030106 -449.13683 -0.056704983 1.0072895 800.13534 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 13 0.55514798 -324.11512 -0.052357927 0.98526518 766.21464 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 18 1.5488151 -458.38292 -0.013203007 1.1065520 851.35091 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 26 0.91313722 -50.280414 -0.056398183 0.95601191 872.38634 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 52 2.3667816 -309.07895 0.040733638 0.88741648 827.16197 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 60 0.68167906 -247.34734 -0.17067971 0.96097802 814.11312 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 63 0.93536363 -392.72655 -0.20167711 1.0651136 951.35894 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 82 1.3690896 -113.62476 -0.098733942 0.94792235 798.54927 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 84 1.0727373 -241.47667 -0.090318251 0.89084876 756.60531 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 109 0.23878846 -202.11146 -0.19622806 1.0384929 810.77514 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 114 1.5938614 -186.54001 -0.086006043 0.94549126 882.83408 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 131 1.1980729 -90.862153 -0.14251830 0.92029005 855.81681 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 153 0.10808619 132.01901 -0.066171661 0.94894622 815.44345 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 176 3.6599144 84.980203 -0.094934087 0.95322898 831.35618 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 180 5.2133860 70.133233 -0.14405613 0.95451107 831.51342 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 184 2.8834836 81.885192 -0.16928377 1.0058875 769.33438 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 185 1.0420596 42.046727 -0.13970186 0.96657061 805.63087 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 186 1.9140923 48.183728 -0.15139577 1.0236485 851.43363 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 201 2.3812705 95.444177 -0.14422736 0.98065721 803.79963 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 204 2.5093775 109.08928 -0.19077877 0.99412621 834.19527 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 206 2.3350355 161.25550 -0.12041435 0.97580326 722.89693 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 213 3.5960256 112.58802 -0.19273950 0.86462200 806.70384 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 235 2.3969271 29.630492 -0.062109004 0.92782696 839.21456 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 257 2.3222524 86.827034 -0.11094650 1.0154798 832.58178 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 259 1.6798390 164.32751 -0.20156111 1.0104235 839.95561 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 260 0.12542592 62.593493 -0.13602777 1.0264165 825.32765 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 261 0.42859388 111.74921 -0.20777931 0.84601540 812.64531 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 265 1.3903786 91.277272 -0.047891858 0.87339315 777.97177 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 271 0.49962685 86.635664 -0.14018756 0.90845453 771.59842 LOCATESKYLINES_2: sdR-r2-00034590.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 281 0.81286371 -1.1463688 -0.12276450 1.0193904 788.23585 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 284 1.7916639 -25.824275 -0.090960725 0.97702679 762.64385 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 307 0.53914632 -26.922646 -0.20138024 0.93407364 868.11537 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 6 308 0.26035343 423.97469 -0.22215928 1.0413110 847.83881 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 6 1.2267977 0.00050029756 -0.12932822 0.96641945 0.99439816 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.161820-0.1293280.009315 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 0 1.5490210 77.601233 -0.049300638 0.78105575 1086.3296 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 6 1.5031828 -506.88849 -0.097536587 1.0254844 969.82445 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 13 1.4075289 -364.02375 -0.020605515 0.89458581 928.19514 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 18 0.94650059 -377.18735 -0.13431348 0.88708917 1093.2032 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 26 5.2770450 -107.85036 -0.072766284 0.95824024 1145.4485 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 52 1.1264269 -301.19641 -0.057490224 0.92784130 949.30051 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 60 1.8924122 -237.03530 -0.028869607 0.93491450 963.56293 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 63 4.6468450 -301.62292 -0.14027822 0.89260458 1052.5603 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 82 0.64521203 -119.13931 -0.069241026 0.82226493 1083.3320 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 84 3.0143157 -262.79476 -0.19656342 0.95201149 952.43073 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 109 1.9473245 -176.68118 -0.082587550 0.98921580 937.18952 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 114 1.9587198 -163.35111 -0.059489702 0.94624066 906.96173 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 131 2.4923680 -101.24030 0.0058452905 0.86439343 1058.1589 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 153 1.7285329 89.393880 -0.057744262 0.96032812 1065.6179 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 176 2.7315784 85.800209 -0.081176175 0.89497475 1033.3287 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 180 1.8147033 59.116461 -0.084689063 0.90748400 1054.6797 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 184 3.7813995 78.188612 -0.074531380 0.97713028 948.84835 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 185 2.8530136 38.669127 -0.10050467 0.96209079 930.79122 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 186 1.2267191 49.246553 -0.12367791 0.91618062 1042.0274 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 201 1.8472100 141.20741 -0.11298064 0.86714356 927.90279 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 204 1.0039375 141.62014 -0.12642933 0.88707940 1055.0409 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 206 0.90987613 201.08913 -0.19900245 0.81092913 964.11992 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 213 1.3979656 115.82989 -0.089111152 0.97478154 958.64453 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 235 1.9781875 18.346525 0.014246686 0.88949697 1064.7944 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 257 0.32209776 72.719545 -0.082113968 0.96775210 1037.9434 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 259 4.9179906 160.00419 -0.092877898 0.91336017 1055.5850 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 260 0.69375131 69.546486 -0.070337089 0.89843446 987.20439 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 261 0.66058732 109.56593 -0.14672640 0.96714999 1014.4859 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 265 1.5337783 50.943617 -0.13038730 0.89581987 958.82690 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 271 3.9891655 78.135697 -0.10478787 0.90010866 984.97528 LOCATESKYLINES_2: sdR-r2-00034590.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 281 2.1861710 -25.422009 -0.10126029 0.92195415 1007.2663 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 284 3.9396778 -31.259240 -0.13190796 0.93101132 991.37037 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 307 2.8936396 -9.4573760 -0.15816050 0.89431562 863.12287 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 7 308 2.3277108 396.83475 -0.16178344 0.88822194 1025.7110 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 7 1.5471828 0.00047816708 -0.091363717 0.91565537 0.99622357 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 7 1.4748406 0.00026424293 -0.095435989 0.92004086 0.99530812 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.127927-0.0954360.007731 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 0 0.92225012 -21.863407 -0.035418956 0.94112634 1302.4225 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 6 1.8454833 -448.46460 -0.0082122037 0.91206908 1151.1080 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 13 0.43293193 -296.26273 -0.053304216 0.93479799 1244.4608 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 18 0.81444723 -324.80345 -0.047481633 0.89186823 1271.2614 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 26 6.2626265 -176.92222 -0.073539043 0.83872675 1420.5410 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 52 1.8406252 -322.55139 -0.090925076 0.90216427 1311.1935 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 60 1.5683459 -268.82022 0.031616371 0.88227577 1381.0683 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 63 1.5954140 -304.99810 -0.10224621 0.91909653 1346.5371 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 82 1.0448278 -228.16266 -0.040393712 0.97987095 1304.2707 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 84 0.62682607 -407.40695 -0.0053695389 0.90757774 1458.5573 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 109 1.9005826 -270.56009 -0.038812321 0.90064590 1368.2629 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 114 1.7587575 -243.18198 -0.045815292 0.91218985 1247.8814 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 131 0.70313409 -184.24692 -0.022416349 0.88076426 1331.8545 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 153 6.8932583 3.3778461 -0.051754108 0.93323001 1386.4775 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 176 0.16706033 41.504918 -0.0052713760 0.84342114 1401.3432 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 180 2.7567390 20.661045 -0.043876550 0.87335435 1342.9951 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 184 4.5654722 30.533345 -0.0044664066 0.95017613 1258.4658 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 185 4.0853202 17.214840 -0.098809756 0.89772286 1257.2555 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 186 9.0782823 -4.4166844 -0.063168811 0.96246746 1269.5461 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 201 3.6321232 17.281113 -0.089824862 0.86043752 1291.5277 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 204 1.1823485 44.072508 -0.091376294 0.86229241 1327.8728 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 206 0.74783619 30.970676 -0.047391205 0.90160563 1253.6269 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 213 5.5301186 -27.806846 -0.071652304 0.97588552 1263.0618 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 235 4.8121375 -70.183984 -0.065054602 0.88316518 1297.8336 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 257 2.4841733 40.061950 -0.067484091 0.89867453 1297.1076 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 259 2.5556388 68.799523 -0.053327702 0.96144962 1283.1002 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 260 3.5479908 -26.941555 -0.043470227 0.91785145 1289.5151 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 261 0.64415785 3.0331502 -0.10290381 1.0034682 1213.4431 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 265 1.6564851 -2.0885472 -0.059851147 0.87156137 1360.5242 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 271 0.65711323 -16.388269 -0.019346741 0.89049357 1277.3216 LOCATESKYLINES_2: sdR-r2-00034590.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 281 1.7470415 -61.361544 -0.14493309 0.90687760 1279.2156 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 284 1.6155710 -115.83462 -0.057300258 0.99250443 1247.2681 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 307 0.70437926 -54.758651 0.0033841950 0.85717215 1303.3866 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 8 308 2.3981328 283.16076 -0.041127061 0.89189702 1210.2551 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 8 1.7213500 0.00025259930 -0.051913723 0.90820499 0.99722514 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 303 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 8 1.5204483 0.00067536009 -0.049095590 0.90746342 0.99410955 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 303 of 306 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.081587-0.0490960.006220 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 0 18.893330 68.089152 -0.085242941 0.83373560 1445.6970 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 6 1.6403505 -496.24494 -0.030295640 1.0004797 1357.5916 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 13 5.4330218 -296.27687 0.028104970 0.89648279 1412.5560 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 18 1.9141479 -330.60654 -0.10357213 1.0148064 1363.3711 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 26 1.6646653 -161.19718 -0.053531025 0.89175927 1593.8987 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 52 2.9317788 -351.63504 -0.062067002 0.95078483 1489.0447 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 60 2.4120171 -297.80960 -0.025756706 1.0163951 1385.8838 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 63 3.2946389 -337.42486 -0.064777757 0.89090872 1471.4387 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 82 1.6996978 -231.09434 -0.0054705612 0.97667981 1391.9941 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 84 3.1419861 -362.35240 0.016820266 0.92041265 1483.1641 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 109 3.6825461 -250.64391 -0.075334771 0.94338650 1454.5607 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 114 0.44294280 -194.68716 -0.018360752 0.91518064 1466.0668 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 131 5.0300365 -167.35885 -0.11397196 0.89393525 1481.4199 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 153 0.21635476 48.562088 0.0052644836 0.92193533 1447.6817 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 176 3.7580896 7.7766703 -0.039129684 0.94855057 1411.1193 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 180 2.8174466 49.331163 -0.061626840 0.89500968 1449.8509 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 184 0.88050597 44.509929 -0.071816121 0.90198497 1364.4525 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 185 0.94209554 33.641117 -0.090509438 0.90086454 1462.8005 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 186 1.5508542 22.818028 -0.099634898 0.89946734 1434.8385 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 201 2.9552325 10.979370 -0.019296956 0.96062543 1380.1755 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 204 1.8245362 56.496569 -0.026342828 0.88554299 1437.0551 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 206 2.2311678 66.844845 -0.14951628 0.94747194 1385.5614 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 213 1.3082713 62.403216 -0.0070395434 0.85385355 1487.5509 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 235 0.91394419 -60.822842 -0.038174356 0.88827702 1433.0189 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 257 1.4795400 43.172475 -0.058468481 0.89863946 1494.4317 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 259 1.0833751 121.37500 -0.017612472 0.90073246 1406.6420 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 260 0.74671386 5.4446966 -0.027747313 0.93322273 1414.7708 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 261 1.1575468 17.884827 -0.058578690 0.91935312 1472.2197 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 265 3.7809291 -45.570650 -0.058638237 0.93580951 1525.3424 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 271 3.4317220 -16.888092 -0.042590641 0.92753104 1495.5182 LOCATESKYLINES_2: sdR-r2-00034590.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 281 1.9467618 -101.99031 -0.054445852 0.97468728 1370.7006 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 284 2.7323092 -103.56777 -0.076790452 0.96951172 1377.3016 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 307 3.0885982 -102.98105 -0.074879545 1.0285336 1429.3043 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 9 308 1.5013284 230.64002 -0.12971226 0.94839003 1429.4820 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 9 1.9598545 0.00026931498 -0.053994471 0.92443946 0.99774738 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 303 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 9 1.6439509 -0.00019995490 -0.055788961 0.92731316 0.99716559 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 303 of 306 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.088280-0.0557890.005712 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 0 1.1511465 -71.846379 -0.039173312 0.95535810 1323.2941 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 6 3.3279775 -519.81689 -0.061039274 0.92433137 1209.1026 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 13 2.6675936 -357.20969 0.028005375 1.0466948 1380.5910 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 18 1.3211163 -364.71583 0.059327501 0.96703492 1342.4478 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 26 0.41743617 -281.99473 -0.11799633 0.91525945 1421.8320 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 52 1.5636106 -331.33442 -0.029760309 0.87361494 1408.5625 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 60 0.63245576 -311.58119 0.037271244 0.98556040 1319.1927 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 63 5.4499413 -315.26707 -0.049721402 0.98472622 1317.9837 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 82 0.96984862 -306.43976 0.037055799 0.92778047 1374.8058 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 84 2.4291332 -436.43821 0.058342720 0.91235842 1376.4686 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 109 0.52505980 -295.64833 0.089919140 0.95304961 1341.4008 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 114 6.9804989 -312.27676 -0.10761410 0.91258937 1603.8993 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 131 93.351172 -128.71460 -0.091319734 0.80082411 1355.6364 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 153 3.3400616 -73.311726 -0.027465061 1.0014186 1333.6049 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 176 1.6532826 -39.688821 -0.035168385 0.95448824 1415.4615 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 180 3.8200532 -14.257539 -0.047527440 0.91123239 1316.0149 LOCATESKYLINES_2: sdR-r2-00034590.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 185 3.9783045 -47.385246 -0.060059050 0.94384237 1401.7058 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 186 3.0343316 -45.791541 -0.017534661 0.90762998 1393.9601 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 201 1.8236725 -60.008007 -0.042318973 0.93258334 1384.0356 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 204 3.7358255 -39.574032 -0.070035409 0.87965517 1341.2963 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 206 1.7001228 -79.181524 0.22855315 1.2553110 1404.6387 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 213 2.3791128 -86.079003 -0.045811647 0.92231576 1339.9543 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 235 0.53879152 -177.58843 -0.042393238 0.92152204 1408.2769 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 257 5.7017987 -35.659757 -0.013064038 0.90564373 1406.0262 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 259 3.6344276 -6.3851060 0.054306994 0.92573729 1316.8259 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 260 6.9713418 -106.15804 0.026077304 0.99609643 1343.8406 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 261 2.8049042 -66.557293 0.056101757 0.94591480 1333.7087 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 265 1.1806010 -89.543108 -0.053230504 0.92572031 1418.5458 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 271 1.5447039 -49.943806 -0.064925490 0.92057784 1265.0029 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 276 1.2502951 -133.70001 0.020073088 1.0071650 1365.1370 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 281 1.2706719 -149.22584 -0.043738664 0.98331663 1261.7279 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 284 1.7186651 -195.54506 -0.045748296 0.92557217 1425.0023 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 307 4.0764333 -155.91499 -0.022536322 0.96659496 1287.5612 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 10 308 0.96680420 166.65792 -0.067709512 0.90114659 1277.6023 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 10 3.7503061 0.0013101725 -0.023538902 0.93969046 0.99629812 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 300 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 10 1.8234634 0.00031298148 -0.028471425 0.94093778 0.99581209 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 300 of 306 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.060963-0.0284710.006078 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 0 2.2334567 -83.381016 -0.067604572 0.95965031 1441.2010 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 6 2.2191708 -490.66986 -0.13831851 0.89836766 1423.3400 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 13 3.2594015 -296.10314 0.060600615 1.0087410 1484.9030 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 18 1.8037847 -379.23154 0.11903124 0.99297828 1587.3783 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 26 2.9331332 -250.91055 0.011636948 0.90649893 1705.1866 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 52 0.66861610 -315.69444 -0.022151153 0.89851287 1606.9117 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 60 1.7737960 -276.20759 0.030409657 0.90193298 1505.9982 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 63 0.69502718 -315.29201 -0.010967211 0.89413307 1598.4372 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 82 4.0004910 -299.16420 0.0042030038 0.94159673 1543.6472 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 84 0.83079277 -437.38785 -0.011759589 0.97285853 1564.3891 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 109 0.45820894 -276.58366 -0.030162627 0.92148002 1527.9432 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 114 1.0727338 -251.17831 -0.068432616 0.93554782 1423.6199 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 131 0.92628933 -208.20191 -0.037860089 0.95192390 1425.3603 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 153 1.1224808 -111.83560 -0.023482292 0.93237934 1535.3182 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 176 3.1010255 -21.771951 0.014736468 0.88501275 1546.1934 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 180 0.32433353 5.6680108 -0.045025110 0.83102865 1584.1249 LOCATESKYLINES_2: sdR-r2-00034590.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 185 3.9604801 -18.452524 -0.086644625 0.94749505 1517.2051 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 186 3.8778373 -18.563508 -0.055960183 0.93944344 1500.2847 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 201 0.079047061 -62.156934 -0.00011774990 0.86783388 1628.9672 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 204 1.2864390 -41.244974 -0.049474928 0.88801611 1495.8773 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 206 1.6826199 -26.376409 0.030247123 0.91285744 1549.9054 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 213 1.9701571 -104.72602 -0.034335792 0.92559997 1527.2627 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 235 1.6449148 -137.51576 -0.096364559 0.88215955 1519.7174 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 257 3.7978198 -9.6191248 -0.061923677 0.91746378 1482.2676 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 259 1.9053431 25.002016 -0.058526334 0.94066602 1422.2307 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 260 4.1786568 -78.856909 -0.079938776 0.94890647 1437.5806 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 261 3.0067252 -62.719081 -0.053227366 0.96781850 1446.7092 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 265 2.5503414 -79.500374 -0.037509030 0.89012580 1516.6475 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 271 5.0629068 -105.93388 -0.0059721890 0.96986359 1460.4419 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 276 0.51376716 -122.46985 -0.041366631 0.98429970 1455.8119 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 281 3.5612039 -146.99689 -0.078059513 0.95063667 1528.0088 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 284 3.2174515 -138.65615 -0.076773324 0.93277725 1462.6265 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 307 2.4882571 -165.50684 -0.065245069 0.97050912 1413.6882 LOCATESKYLINES_2: sdR-r2-00034590.fit: l,f,chi^2/dof,c: 11 308 0.79105999 52.460014 -0.035956471 0.99962564 1535.5040 LOCATESKYLINES_2: sdR-r2-00034590.fit: comb1 l,chi^2/dof,fit: 11 1.7306070 8.6143766e-05 -0.035482762 0.92679441 0.99664051 LOCATESKYLINES_2: sdR-r2-00034590.fit: sigma-clipped to 302 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034590.fit: comb2 l,chi^2/dof,fit: 11 1.4826151 0.00037497313 -0.039470428 0.92444651 0.99545591 LOCATESKYLINES_2: sdR-r2-00034590.fit: kept 302 of 306 points LOCATESKYLINES_2: sdR-r2-00034590.fit: offset, refoff, sigma: -0.071962-0.0394700.005642 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 FITMEANX: sdR-r2-00034590.fit: In skyline number 0 std-dev is 0.025356146 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 1 std-dev is 0.044911680 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 2 std-dev is 0.17349022 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 3 std-dev is 0.10081229 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 4 std-dev is 0.097222212 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 5 std-dev is 0.083525509 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 6 std-dev is 0.063566775 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 7 std-dev is 0.061075401 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 8 std-dev is 0.030743139 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 9 std-dev is 0.038389688 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 10 std-dev is 0.048514938 pix FITMEANX: sdR-r2-00034590.fit: In skyline number 11 std-dev is 0.046019484 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 6300.3040 coadded std-dev is 0.00355504 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 6363.7760 coadded std-dev is 0.00803682 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 6553.6100 coadded std-dev is 0.0455174 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 6923.2100 coadded std-dev is 0.0258295 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 6949.0300 coadded std-dev is 0.0221758 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 7571.7500 coadded std-dev is 0.0184703 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 7794.1200 coadded std-dev is 0.00931517 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 7821.5100 coadded std-dev is 0.00773086 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 8399.1600 coadded std-dev is 0.00622049 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 8430.1700 coadded std-dev is 0.00571240 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 8885.8300 coadded std-dev is 0.00607849 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: In sky feature at 8919.6100 coadded std-dev is 0.00564211 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034590.fit: Median arc shift = -0.083808631 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: Dispersion in arc shift = 0.030458125 pix LOCATESKYLINES_2: sdR-r2-00034590.fit: Maximum sky-line shift is 0.12728643 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Number of sky fibers = 15 ROW NITER SIG(med) CHI^2 .0000 3 0.86 0.82 .0001 11 0.86 0.80 .0002 20 0.86 0.59 .0003 11 0.86 1.05 .0004 15 0.86 1.83 .0005 20 0.86 1.20 .0006 1 0.86 0.69 .0007 20 0.86 0.79 .0008 8 0.86 0.87 .0009 8 0.86 1.13 .0010 13 0.86 0.76 .0011 15 0.86 1.78 .0012 20 0.86 1.03 .0013 1 0.86 0.62 .0014 20 0.86 0.92 .0015 4 0.86 1.00 .0016 20 0.86 0.63 .0017 6 0.86 1.07 .0018 2 0.86 0.67 .0019 9 0.86 0.85 .0020 19 0.82 0.77 .0021 9 0.82 0.83 .0022 20 0.82 1.65 .0023 20 0.82 1.97 .0024 10 0.82 0.85 .0025 11 0.82 1.01 .0026 3 0.82 0.75 .0027 20 0.82 2.15 .0028 13 0.82 0.79 .0029 12 0.82 1.07 .0030 10 0.82 0.91 .0031 17 0.82 0.47 .0032 20 0.82 1.64 .0033 11 0.82 1.08 .0034 20 0.82 1.27 .0035 16 0.82 1.40 .0036 4 0.82 0.96 .0037 12 0.82 1.33 .0038 11 0.82 0.98 .0039 15 0.82 0.81 .0040 20 0.85 1.68 .0041 13 0.85 1.09 .0042 14 0.85 0.99 .0043 10 0.85 0.93 .0044 7 0.85 0.86 .0045 19 0.85 0.75 .0046 20 0.85 1.61 .0047 19 0.85 0.74 .0048 5 0.85 0.81 .0049 10 0.85 1.08 .0050 11 0.85 1.01 .0051 20 0.85 1.20 .0052 1 0.85 0.80 .0053 12 0.85 0.83 .0054 20 0.85 0.80 .0055 12 0.85 1.83 .0056 13 0.85 0.86 .0057 9 0.85 0.92 .0058 13 0.85 0.88 .0059 13 0.85 0.92 .0060 3 0.84 0.60 .0061 13 0.84 0.83 .0062 15 0.84 0.99 .0063 2 0.84 0.79 .0064 20 0.84 1.10 .0065 9 0.84 0.86 .0066 20 0.84 0.64 .0067 20 0.84 0.81 .0068 10 0.84 0.89 .0069 20 0.84 1.17 .0070 20 0.84 0.72 .0071 6 0.84 0.67 .0072 13 0.84 1.38 .0073 15 0.84 0.75 .0074 12 0.84 0.72 .0075 20 0.84 0.79 .0076 20 0.84 1.71 .0077 17 0.84 0.70 .0078 20 0.84 0.90 .0079 10 0.84 0.85 .0080 20 0.84 1.06 .0081 19 0.84 0.52 .0082 1 0.84 0.54 .0083 8 0.84 1.14 .0084 1 0.84 0.62 .0085 6 0.84 0.80 .0086 20 0.84 1.18 .0087 18 0.84 0.56 .0088 19 0.84 0.59 .0089 9 0.84 0.89 .0090 20 0.84 0.55 .0091 11 0.84 0.77 .0092 5 0.84 1.11 .0093 10 0.84 0.97 .0094 9 0.84 1.18 .0095 6 0.84 1.36 .0096 20 0.84 0.68 .0097 20 0.84 1.13 .0098 15 0.84 0.90 .0099 12 0.84 0.91 .0100 10 0.84 1.05 .0101 19 0.84 0.55 .0102 20 0.84 1.10 .0103 13 0.84 0.80 .0104 15 0.84 0.98 .0105 20 0.84 1.34 .0106 10 0.84 0.76 .0107 20 0.84 0.83 .0108 9 0.84 0.86 .0109 3 0.84 0.73 .0110 5 0.84 0.71 .0111 13 0.84 0.73 .0112 13 0.84 1.76 .0113 10 0.84 0.96 .0114 2 0.84 0.81 .0115 6 0.84 0.85 .0116 16 0.84 0.55 .0117 20 0.84 0.99 .0118 11 0.84 0.79 .0119 20 0.84 0.61 .0120 11 0.79 1.16 .0121 12 0.79 1.09 .0122 19 0.79 0.57 .0123 14 0.79 0.90 .0124 9 0.79 1.01 .0125 13 0.79 0.89 .0126 9 0.79 0.91 .0127 12 0.79 0.90 .0128 20 0.79 1.02 .0129 9 0.79 0.92 .0130 20 0.79 1.12 .0131 2 0.79 0.73 .0132 12 0.79 1.66 .0133 6 0.79 1.28 .0134 6 0.79 1.08 .0135 13 0.79 0.86 .0136 5 0.79 0.69 .0137 17 0.79 0.69 .0138 7 0.79 0.95 .0139 19 0.79 0.65 .0140 10 0.80 0.90 .0141 20 0.80 0.90 .0142 20 0.80 1.52 .0143 8 0.80 1.09 .0144 13 0.80 1.07 .0145 6 0.80 0.88 .0146 9 0.80 0.80 .0147 14 0.80 0.85 .0148 11 0.80 1.20 .0149 20 0.80 1.15 .0150 13 0.80 1.54 .0151 8 0.80 1.07 .0152 11 0.80 0.86 .0153 3 0.80 0.81 .0154 20 0.80 1.80 .0155 20 0.80 1.20 .0156 9 0.80 1.06 .0157 20 0.80 1.20 .0158 11 0.80 0.86 .0159 20 0.80 0.71 .0160 10 0.78 1.09 .0161 12 0.78 0.97 .0162 13 0.78 0.92 .0163 9 0.78 0.95 .0164 7 0.78 1.06 .0165 1 0.78 0.77 .0166 5 0.78 0.63 .0167 14 0.78 0.83 .0168 5 0.78 0.87 .0169 5 0.78 1.12 .0170 20 0.78 0.63 .0171 11 0.78 0.87 .0172 2 0.78 0.82 .0173 5 0.78 0.85 .0174 2 0.78 0.64 .0175 5 0.78 0.84 .0176 5 0.78 0.90 .0177 7 0.78 0.77 .0178 3 0.78 0.83 .0179 10 0.78 0.89 .0180 6 0.80 0.93 .0181 8 0.80 0.82 .0182 3 0.80 0.85 .0183 15 0.80 0.75 .0184 1 0.80 0.82 .0185 2 0.80 1.44 .0186 4 0.80 1.12 .0187 2 0.80 0.74 .0188 11 0.80 1.07 .0189 5 0.80 1.22 .0190 3 0.80 0.68 .0191 2 0.80 0.92 .0192 3 0.80 0.72 .0193 2 0.80 0.80 .0194 2 0.80 0.80 .0195 2 0.80 0.90 .0196 3 0.80 0.76 .0197 16 0.80 0.48 .0198 1 0.80 0.80 .0199 1 0.80 0.81 .0200 13 0.78 0.94 .0201 3 0.78 0.83 .0202 20 0.78 1.37 .0203 19 0.78 0.47 .0204 4 0.78 0.72 .0205 20 0.78 1.66 .0206 1 0.78 0.75 .0207 20 0.78 1.95 .0208 13 0.78 0.96 .0209 20 0.78 1.80 .0210 12 0.78 0.83 .0211 13 0.78 0.75 .0212 12 0.78 0.74 .0213 3 0.78 0.86 .0214 5 0.78 0.74 .0215 20 0.78 0.79 .0216 20 0.78 1.38 .0217 20 0.78 1.15 .0218 5 0.78 0.70 .0219 12 0.78 0.77 .0220 9 0.78 1.23 .0221 6 0.78 0.99 .0222 14 0.78 0.82 .0223 20 0.78 0.71 .0224 14 0.78 0.57 .0225 5 0.78 0.80 .0226 20 0.78 0.63 .0227 6 0.78 0.70 .0228 20 0.78 0.87 .0229 4 0.78 0.79 .0230 5 0.78 0.81 .0231 5 0.78 1.21 .0232 1 0.78 0.64 .0233 4 0.78 0.90 .0234 12 0.78 0.81 .0235 3 0.78 0.70 .0236 13 0.78 0.71 .0237 9 0.78 1.04 .0238 20 0.78 1.00 .0239 2 0.78 0.62 .0240 20 0.80 0.94 .0241 0 0.80 0.00 .0242 20 0.80 0.77 .0243 7 0.80 1.05 .0244 16 0.80 0.68 .0245 17 0.80 0.60 .0246 11 0.80 1.01 .0247 8 0.80 0.93 .0248 17 0.80 0.51 .0249 12 0.80 0.81 .0250 5 0.80 1.01 .0251 19 0.80 0.67 .0252 9 0.80 0.92 .0253 14 0.80 0.89 .0254 5 0.80 0.75 .0255 9 0.80 1.06 .0256 9 0.80 0.72 .0257 3 0.80 0.82 .0258 12 0.80 0.85 .0259 4 0.80 0.89 .0260 2 0.81 0.80 .0261 2 0.81 0.76 .0262 19 0.81 0.65 .0263 0 0.81 0.00 .0264 5 0.81 1.25 .0265 4 0.81 0.85 .0266 15 0.81 0.86 .0267 7 0.81 0.67 .0268 9 0.81 0.87 .0269 19 0.81 0.65 .0270 11 0.81 1.14 .0271 5 0.81 0.82 .0272 6 0.81 0.95 .0273 7 0.81 1.16 .0274 13 0.81 0.73 .0275 20 0.81 0.96 .0276 2 0.81 0.31 .0277 19 0.81 0.63 .0278 19 0.81 0.76 .0279 10 0.81 1.13 .0280 12 0.81 0.87 .0281 3 0.81 0.72 .0282 14 0.81 0.78 .0283 11 0.81 0.88 .0284 4 0.81 0.84 .0285 5 0.81 0.85 .0286 10 0.81 0.80 .0287 11 0.81 0.87 .0288 9 0.81 0.99 .0289 12 0.81 0.88 .0290 16 0.81 0.76 .0291 20 0.81 0.88 .0292 0 0.81 0.00 .0293 19 0.81 0.63 .0294 11 0.81 0.79 .0295 5 0.81 0.75 .0296 13 0.81 0.91 .0297 13 0.81 0.93 .0298 20 0.81 0.87 .0299 12 0.81 0.76 .0300 8 0.85 0.97 .0301 5 0.85 1.11 .0302 9 0.85 0.96 .0303 20 0.85 0.81 .0304 5 0.85 1.03 .0305 11 0.85 0.87 .0306 9 0.85 0.83 .0307 2 0.85 0.72 .0308 1 0.85 0.59 .0309 13 0.85 0.64 .0310 13 0.85 0.77 .0311 0 0.85 0.00 .0312 20 0.85 1.43 .0313 20 0.85 0.47 .0314 12 0.85 0.84 .0315 20 0.85 0.80 .0316 20 0.85 0.80 .0317 14 0.85 0.75 .0318 10 0.85 0.66 .0319 5 0.85 0.39 EXTRACT_IMAGE: sdR-r2-00034590.fit: masked 4336 pixels SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 0 median sigma(arc)= 0.93745543 sigma(sky)= 1.2147524 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 0 sigma^2(add)= 0.59680015 +/- 0.35530488 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 1 median sigma(arc)= 0.92910218 sigma(sky)= 0.48682524 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 1 sigma^2(add)= 1.3639143 +/- 856879.51 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 2 median sigma(arc)= 0.90486074 sigma(sky)= -11712.182 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 2 sigma^2(add)= 1.4311293e+08 +/- 3.4207709e+08 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 3 median sigma(arc)= 0.86253655 sigma(sky)= 1.4802230 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 3 sigma^2(add)= 1.4470906 +/- 0.78567340 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 4 median sigma(arc)= 0.85989249 sigma(sky)= 1.4348186 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 4 sigma^2(add)= 1.1923376 +/- 0.95271191 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 5 median sigma(arc)= 0.81288943 sigma(sky)= -575.62421 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 5 sigma^2(add)= 331342.57 +/- 1100804.0 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 6 median sigma(arc)= 0.80550113 sigma(sky)= 0.91511874 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 6 sigma^2(add)= 0.18861024 +/- 0.36065124 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 7 median sigma(arc)= 0.80498861 sigma(sky)= 1.0461357 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 7 sigma^2(add)= 0.44639316 +/- 0.31491335 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 8 median sigma(arc)= 0.81706257 sigma(sky)= 0.95491735 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 8 sigma^2(add)= 0.24427702 +/- 0.22496558 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 9 median sigma(arc)= 0.81905255 sigma(sky)= 1.0409134 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 9 sigma^2(add)= 0.41265423 +/- 0.24349923 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 10 median sigma(arc)= 0.86615691 sigma(sky)= 0.86061736 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 10 sigma^2(add)= -0.0095659550 +/- 0.31057965 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 11 median sigma(arc)= 0.87105874 sigma(sky)= 0.91389952 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Line # 11 sigma^2(add)= 0.076468819 +/- 0.23011924 SKYLINE_DISPERSION: sdR-r2-00034590.fit: Flexure sigma^2(add) = 0.076035196 +/- 0.092755077 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034590.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034590.fit: Heliocentric correction = 23.191335 km/s FITVACSET: sdR-r2-00034590.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034590.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034590.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034590.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-r2-00034590.fit: Number of sky fibers = 15 SKYSUBTRACT: sdR-r2-00034590.fit: Airmass range = 1.34525 1.40708 SKYSUBTRACT: sdR-r2-00034590.fit: Discarding 0.00351562 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 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of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034590.fit: Median sky-residual chi2 = 1.84068 SKYSUBTRACT: sdR-r2-00034590.fit: Max sky-residual chi2 = 12.9074 EXTRACT_OBJECT: sdR-r2-00034590.fit: Calling skysubtract again; masked skyfibers 235 SKYSUBTRACT: sdR-r2-00034590.fit: Number of sky fibers = 14 SKYSUBTRACT: sdR-r2-00034590.fit: Airmass range = 1.34525 1.40708 SKYSUBTRACT: sdR-r2-00034590.fit: Discarding 0.00362723 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 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Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034590.fit: Median sky-residual chi2 = 1.70023 SKYSUBTRACT: sdR-r2-00034590.fit: Max sky-residual chi2 = 16.5023 QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 1 = -17.6605 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 177 = 13.4888 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 181 = 10.0170 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 205 = 13.1420 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 207 = 42.8547 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 214 = 11.1205 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 261 = -39.1044 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 272 = -20.9069 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Median sky-residual chi = 1.31476 QAPLOT_SKYSUB: sdR-r2-00034590.fit: Max sky-residual chi = 4.29754 at 6564.6294 Ang SKYSUBTRACT: sdR-r2-00034590.fit: Number of sky fibers = 14 SKYSUBTRACT: sdR-r2-00034590.fit: Airmass range = 1.34525 1.40708 SKYSUBTRACT: sdR-r2-00034590.fit: Discarding 0.00362723 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: 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Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034590.fit: Median sky-residual chi2 = 1.57742 SKYSUBTRACT: sdR-r2-00034590.fit: Max sky-residual chi2 = 24.4327 QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 187 = -11.1176 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 207 = 38.7797 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 258 = 17.2506 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Warning: Median sky-sub flux in sky fiber 261 = -27.2635 electrons QAPLOT_SKYSUB: sdR-r2-00034590.fit: Median sky-residual chi = 1.25370 QAPLOT_SKYSUB: sdR-r2-00034590.fit: Max sky-residual chi = 4.79350 at 6564.6294 Ang QAPLOT_SKYLINE: sdR-r2-00034590.fit: Airmass range = 1.35 1.41 QAPLOT_SKYLINE: sdR-r2-00034590.fit: Flux dispersion for skyline 7343.0 = 6.60 % QAPLOT_SKYLINE: sdR-r2-00034590.fit: Airmass range = 1.35 1.41 QAPLOT_SKYLINE: sdR-r2-00034590.fit: Flux dispersion for skyline 8888.3 = 5.08 % SPADD_GUIDERINFO: sdR-r2-00034590.fit: Number of guider frames = 24 SPREDUCE: sdR-r2-00034590.fit: Elapsed time = 195. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 1565. seconds SPREDUCE2D: Time to reduce camera r2 = 1565. seconds SPREDUCE2D: Time to reduce all cameras = 5348. seconds SPREDUCE2D: Max memory usage = 496.0 MB SPREDUCE2D: Total time for SPREDUCE2D = 5348. seconds SPREDUCE2D: Successful completion of SPREDUCE2D at Fri Feb 5 09:59:09 2010 % Program caused arithmetic error: Floating divide by 0 % Program caused arithmetic error: Floating underflow % Program caused arithmetic error: Floating overflow % Program caused arithmetic error: Floating illegal operand SPREDUCE2D: Log file spDiag2d-2338-53682.log opened Fri Feb 5 09:59:09 2010 SPREDUCE2D: Plot file spDiag2d-2338-53682.ps SPREDUCE2D: IDL version: x86_64 linux unix linux 6.4 Apr 26 2007 64 64 SPREDUCE2D: UNAME: Linux hammer5.astro.Princeton.EDU 2.6.18-128.7.1.el5 #1 SMP Mon Aug 24 08:21:56 EDT 2009 x86_64 x86_64 x86_64 GNU/Linux SPREDUCE2D: DISPLAY=localhost:15.0 SPREDUCE2D: idlspec2d version NOCVS:v5_3 SPREDUCE2D: idlutils version v5_3_0 SPREDUCE2D: specflat version v1_7 svn: '/u/dss/spectro/103/speclog_hacks/bin' does not exist SPREDUCE2D: speclog version trunk SPREDUCE2D: Plan file spPlan2d-2338-53682.par SPREDUCE2D: DOCAMS = b1 b2 r1 r2 SPREDUCE2D: Begin plate 2338 at Fri Feb 5 09:59:09 2010 SPREDUCE2D: Plug map file = plPlugMapM-2338-53678-01.par READPLUGMAP: b1: Rescaling SCI_EXPTIME values by 240.10000 READPLUGMAP: b1: Adding fields from calibObj file READPLUGMAP: b1: LIED about EBV. Set to 0.3 PLUG2TSOBJ: b1: WARNING: calibObj file not found for plate 2338 READPLUGMAP: b1: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: b1: Number of missing fibers: 3 SPCALIB: b1: Tracing flat # 1 of 2 SPCALIB: b1: Reading flat sdR-b1-00034673.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opECalib-51577.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.84311 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1217.88 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1199. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.06675 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1022.78 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1007. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Tracing 320 fibers in sdR-b1-00034673.fit TRACE320CEN: b1: Big gap at fiber= 20, x= 138.39, dx= 7.94 TRACE320CEN: b1: Big gap at fiber= 40, x= 264.93, dx= 8.12 TRACE320CEN: b1: Big gap at fiber= 60, x= 390.46, dx= 7.58 TRACE320CEN: b1: Big gap at fiber= 80, x= 516.88, dx= 8.73 TRACE320CEN: b1: Big gap at fiber= 100, x= 642.04, dx= 8.01 TRACE320CEN: b1: Big gap at fiber= 120, x= 767.57, dx= 8.53 TRACE320CEN: b1: Big gap at fiber= 140, x= 892.69, dx= 8.49 TRACE320CEN: b1: Big gap at fiber= 160, x=1017.17, dx= 7.97 TRACE320CEN: b1: Big gap at fiber= 180, x=1142.56, dx= 8.77 TRACE320CEN: b1: Big gap at fiber= 200, x=1267.47, dx= 7.70 TRACE320CEN: b1: Big gap at fiber= 220, x=1393.03, dx= 8.55 TRACE320CEN: b1: Big gap at fiber= 260, x=1643.74, dx= 8.27 TRACE320CEN: b1: Big gap at fiber= 280, x=1769.47, dx= 7.83 TRACE320CEN: b1: Big gap at fiber= 300, x=1896.06, dx= 8.36 TRACE320CRUDE: b1: Warning: Fixing traces: 90 91 163 164 251 294 SPCALIB: b1: Fitting traces in sdR-b1-00034673.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 1 2 2048 0 3 2048 1 4 2048 1 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 1 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 2 20 2048 0 21 2048 0 22 2048 1 23 2048 0 24 2048 2 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 4 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 1 83 2048 0 84 2048 0 85 2048 3 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 2 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 1 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 4 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 1 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 3 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 3 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 1 250 2048 1 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 2 257 2048 1 258 2048 0 259 2048 2 260 2048 3 261 2048 0 262 2048 0 263 2048 0 264 2048 1 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 22 278 2048 46 279 2048 38 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 2 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 1 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 151 SPCALIB: b1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 1.27 .0004 1 1.00 1.24 .0005 2 1.00 1.25 .0006 1 1.00 1.19 .0007 1 1.00 1.14 .0008 1 1.00 1.24 .0009 1 1.00 1.17 .0010 1 1.00 1.17 .0011 1 1.00 1.41 .0012 1 1.00 1.24 .0013 1 1.00 1.30 .0014 1 1.00 1.25 .0015 3 1.00 1.31 .0016 3 1.00 1.38 .0017 4 1.00 1.58 .0018 1 1.00 1.48 .0019 1 1.00 1.32 .0020 1 1.00 1.28 .0021 1 1.00 1.40 .0022 1 1.00 1.34 .0023 1 1.00 1.43 .0024 1 1.00 1.28 .0025 1 1.00 1.38 .0026 1 1.00 1.35 .0027 1 1.00 1.38 .0028 1 1.00 1.45 .0029 1 1.00 1.40 .0030 3 1.00 1.47 .0031 1 1.00 1.45 .0032 1 1.00 1.49 .0033 2 1.00 1.61 .0034 1 1.00 1.50 .0035 2 1.00 1.49 .0036 1 1.00 1.50 .0037 1 1.00 1.56 .0038 1 1.00 1.64 .0039 1 1.00 1.54 .0040 1 1.00 1.53 .0041 1 1.00 1.64 .0042 1 1.00 1.69 .0043 1 1.00 1.69 .0044 1 1.00 1.71 .0045 1 1.00 1.68 .0046 1 1.00 1.75 .0047 1 1.00 1.73 .0048 1 1.00 1.77 .0049 1 1.00 1.72 .0050 1 1.00 1.70 .0051 2 1.00 1.75 .0052 1 1.00 1.80 .0053 1 1.00 1.87 .0054 1 1.00 1.79 .0055 1 1.00 1.93 .0056 1 1.00 1.83 .0057 1 1.00 1.85 .0058 1 1.00 1.83 .0059 1 1.00 1.87 .0060 1 1.00 1.89 .0061 1 1.00 1.93 .0062 1 1.00 1.81 .0063 1 1.00 1.82 .0064 1 1.00 1.92 .0065 1 1.00 1.80 .0066 1 1.00 1.93 .0067 1 1.00 1.92 .0068 1 1.00 1.80 .0069 1 1.00 1.92 .0070 1 1.00 1.90 .0071 1 1.00 1.71 .0072 1 1.00 1.95 .0073 1 1.00 1.98 .0074 1 1.00 1.87 .0075 1 1.00 1.74 .0076 1 1.00 1.81 .0077 1 1.00 1.79 .0078 1 1.00 1.95 .0079 1 1.00 1.82 .0080 1 1.00 1.86 .0081 1 1.00 1.88 .0082 1 1.00 2.05 .0083 1 1.00 1.84 .0084 1 1.00 1.89 .0085 1 1.00 1.86 .0086 2 1.00 1.88 .0087 1 1.00 1.90 .0088 1 1.00 1.95 .0089 1 1.00 2.03 .0090 2 1.00 2.04 .0091 1 1.00 2.01 .0092 1 1.00 1.91 .0093 1 1.00 1.88 .0094 1 1.00 1.89 .0095 1 1.00 2.21 .0096 2 1.00 1.90 .0097 1 1.00 2.20 .0098 3 1.00 2.07 .0099 1 1.00 1.90 .0100 1 1.00 1.94 .0101 1 1.00 2.00 .0102 1 1.00 2.05 .0103 1 1.00 1.98 .0104 1 1.00 2.00 .0105 1 1.00 1.83 .0106 1 1.00 1.89 .0107 1 1.00 1.93 .0108 1 1.00 2.04 .0109 1 1.00 1.97 .0110 1 1.00 2.09 .0111 2 1.00 1.83 .0112 1 1.00 2.15 .0113 1 1.00 1.93 .0114 1 1.00 2.04 .0115 1 1.00 1.90 .0116 1 1.00 2.09 .0117 1 1.00 1.88 .0118 1 1.00 1.91 .0119 1 1.00 1.89 .0120 1 1.00 1.96 .0121 1 1.00 1.87 .0122 1 1.00 1.93 .0123 1 1.00 1.93 .0124 1 1.00 1.88 .0125 1 1.00 2.02 .0126 1 1.00 1.92 .0127 1 1.00 1.94 .0128 1 1.00 2.06 .0129 1 1.00 1.97 .0130 1 1.00 1.87 .0131 2 1.00 2.17 .0132 1 1.00 2.06 .0133 1 1.00 1.92 .0134 1 1.00 1.98 .0135 1 1.00 1.89 .0136 1 1.00 1.95 .0137 1 1.00 1.95 .0138 1 1.00 1.92 .0139 1 1.00 1.90 .0140 1 1.00 1.88 .0141 1 1.00 1.85 .0142 2 1.00 1.85 .0143 2 1.00 2.05 .0144 1 1.00 1.92 .0145 2 1.00 2.08 .0146 1 1.00 1.83 .0147 1 1.00 1.94 .0148 1 1.00 2.02 .0149 2 1.00 2.01 .0150 1 1.00 1.91 .0151 1 1.00 1.94 .0152 1 1.00 1.87 .0153 1 1.00 1.96 .0154 1 1.00 1.90 .0155 1 1.00 1.89 .0156 1 1.00 1.92 .0157 1 1.00 1.88 .0158 2 1.00 1.94 .0159 1 1.00 2.04 .0160 1 1.00 1.92 .0161 1 1.00 1.95 .0162 1 1.00 2.09 .0163 3 1.00 1.96 .0164 1 1.00 2.10 .0165 1 1.00 1.95 .0166 1 1.00 1.83 .0167 1 1.00 2.08 .0168 1 1.00 1.89 .0169 1 1.00 1.88 .0170 1 1.00 2.01 .0171 1 1.00 1.98 .0172 2 1.00 1.98 .0173 2 1.00 2.02 .0174 1 1.00 2.05 .0175 1 1.00 1.99 .0176 1 1.00 1.92 .0177 1 1.00 1.94 .0178 1 1.00 1.99 .0179 1 1.00 2.07 .0180 1 1.00 1.91 .0181 1 1.00 1.93 .0182 1 1.00 1.91 .0183 1 1.00 1.86 .0184 1 1.00 1.88 .0185 1 1.00 1.99 .0186 1 1.00 2.00 .0187 1 1.00 2.00 .0188 1 1.00 1.87 .0189 2 1.00 2.05 .0190 1 1.00 2.06 .0191 1 1.00 1.90 .0192 1 1.00 1.98 .0193 1 1.00 1.97 .0194 1 1.00 1.91 .0195 1 1.00 1.95 .0196 1 1.00 2.06 .0197 2 1.00 2.06 .0198 1 1.00 2.09 .0199 1 1.00 2.06 .0200 1 1.00 2.02 .0201 1 1.00 1.95 .0202 1 1.00 2.04 .0203 1 1.00 1.96 .0204 1 1.00 2.05 .0205 1 1.00 1.97 .0206 1 1.00 2.13 .0207 1 1.00 1.99 .0208 1 1.00 2.03 .0209 1 1.00 2.19 .0210 1 1.00 2.07 .0211 1 1.00 2.02 .0212 2 1.00 2.10 .0213 1 1.00 2.02 .0214 1 1.00 2.23 .0215 2 1.00 2.24 .0216 1 1.00 2.08 .0217 1 1.00 2.14 .0218 1 1.00 2.10 .0219 1 1.00 2.13 .0220 1 1.00 2.25 .0221 1 1.00 2.21 .0222 1 1.00 2.22 .0223 1 1.00 2.21 .0224 1 1.00 2.16 .0225 3 1.00 2.30 .0226 2 1.00 2.46 .0227 1 1.00 2.23 .0228 1 1.00 2.28 .0229 1 1.00 2.38 .0230 1 1.00 2.54 .0231 1 1.00 2.37 .0232 1 1.00 2.30 .0233 1 1.00 2.36 .0234 1 1.00 2.38 .0235 1 1.00 2.37 .0236 1 1.00 2.45 .0237 2 1.00 2.29 .0238 1 1.00 2.35 .0239 1 1.00 2.55 .0240 1 1.00 2.41 .0241 1 1.00 2.48 .0242 1 1.00 2.48 .0243 1 1.00 2.54 .0244 1 1.00 2.50 .0245 1 1.00 2.53 .0246 1 1.00 2.66 .0247 1 1.00 2.64 .0248 1 1.00 2.66 .0249 1 1.00 2.67 .0250 1 1.00 2.71 .0251 1 1.00 2.67 .0252 1 1.00 2.67 .0253 1 1.00 2.86 .0254 1 1.00 2.58 .0255 1 1.00 2.72 .0256 1 1.00 2.82 .0257 1 1.00 2.93 .0258 1 1.00 2.98 .0259 2 1.00 2.86 .0260 1 1.00 2.86 .0261 1 1.00 2.93 .0262 1 1.00 3.02 .0263 1 1.00 2.90 .0264 1 1.00 3.05 .0265 1 1.00 2.96 .0266 1 1.00 3.06 .0267 1 1.00 3.12 .0268 1 1.00 3.12 .0269 1 1.00 3.11 .0270 1 1.00 3.22 .0271 1 1.00 3.04 .0272 1 1.00 3.20 .0273 1 1.00 3.14 .0274 1 1.00 3.13 .0275 1 1.00 3.21 .0276 1 1.00 3.27 .0277 1 1.00 3.22 .0278 1 1.00 3.16 .0279 1 1.00 3.15 .0280 1 1.00 3.30 .0281 1 1.00 3.25 .0282 1 1.00 3.21 .0283 1 1.00 3.30 .0284 1 1.00 3.32 .0285 1 1.00 3.32 .0286 1 1.00 3.33 .0287 2 1.00 3.84 .0288 3 1.00 3.47 .0289 1 1.00 3.84 .0290 1 1.00 3.43 .0291 1 1.00 3.59 .0292 1 1.00 3.56 .0293 1 1.00 3.53 .0294 1 1.00 3.61 .0295 1 1.00 3.62 .0296 1 1.00 3.86 .0297 1 1.00 3.72 .0298 1 1.00 3.76 .0299 1 1.00 3.66 .0300 1 1.00 3.57 .0301 1 1.00 3.46 .0302 1 1.00 3.90 .0303 1 1.00 3.67 .0304 1 1.00 3.85 .0305 1 1.00 3.91 .0306 1 1.00 3.62 .0307 1 1.00 3.74 .0308 1 1.00 4.44 .0309 1 1.00 4.20 .0310 1 1.00 3.83 .0311 1 1.00 4.66 .0312 1 1.00 3.91 .0313 1 1.00 3.94 .0314 1 1.00 4.05 .0315 1 1.00 3.95 .0316 1 1.00 3.91 .0317 1 1.00 4.19 .0318 1 1.00 4.09 .0319 1 1.00 4.21 .0320 1 1.00 4.12 .0321 1 1.00 4.20 .0322 1 1.00 4.19 .0323 1 1.00 4.05 .0324 2 1.00 4.36 .0325 1 1.00 4.14 .0326 2 1.00 4.24 .0327 1 1.00 4.26 .0328 1 1.00 4.29 .0329 1 1.00 4.61 .0330 1 1.00 4.50 .0331 1 1.00 4.34 .0332 1 1.00 4.20 .0333 1 1.00 4.58 .0334 1 1.00 4.45 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1.00 4.87 .1612 1 1.00 4.91 .1613 1 1.00 4.62 .1614 1 1.00 4.88 .1615 1 1.00 4.75 .1616 1 1.00 5.01 .1617 1 1.00 4.73 .1618 1 1.00 4.59 .1619 1 1.00 4.79 .1620 1 1.00 4.67 .1621 1 1.00 4.51 .1622 1 1.00 4.88 .1623 1 1.00 4.89 .1624 1 1.00 4.81 .1625 1 1.00 4.53 .1626 1 1.00 4.70 .1627 1 1.00 4.89 .1628 1 1.00 4.81 .1629 1 1.00 4.61 .1630 1 1.00 4.70 .1631 1 1.00 4.63 .1632 1 1.00 4.53 .1633 1 1.00 4.52 .1634 1 1.00 4.81 .1635 1 1.00 4.46 .1636 1 1.00 4.53 .1637 1 1.00 4.94 .1638 1 1.00 5.13 .1639 1 1.00 4.98 .1640 1 1.00 4.67 .1641 1 1.00 4.56 .1642 1 1.00 4.69 .1643 1 1.00 4.52 .1644 1 1.00 4.57 .1645 1 1.00 4.76 .1646 1 1.00 4.75 .1647 1 1.00 4.52 .1648 1 1.00 4.47 .1649 1 1.00 4.40 .1650 1 1.00 4.49 .1651 1 1.00 4.22 .1652 1 1.00 4.22 .1653 1 1.00 4.42 .1654 1 1.00 4.46 .1655 1 1.00 4.77 .1656 1 1.00 4.54 .1657 1 1.00 4.33 .1658 1 1.00 4.44 .1659 1 1.00 4.39 .1660 1 1.00 4.50 .1661 1 1.00 4.46 .1662 1 1.00 4.49 .1663 1 1.00 4.33 .1664 1 1.00 4.39 .1665 1 1.00 4.27 .1666 2 1.00 4.29 .1667 1 1.00 4.40 .1668 1 1.00 4.30 .1669 1 1.00 4.32 .1670 1 1.00 4.42 .1671 1 1.00 4.52 .1672 1 1.00 4.18 .1673 1 1.00 4.48 .1674 1 1.00 4.39 .1675 1 1.00 4.32 .1676 2 1.00 4.26 .1677 1 1.00 4.39 .1678 1 1.00 4.40 .1679 1 1.00 4.23 .1680 1 1.00 4.35 .1681 1 1.00 4.17 .1682 1 1.00 4.30 .1683 1 1.00 4.34 .1684 1 1.00 4.43 .1685 1 1.00 4.42 .1686 1 1.00 4.91 .1687 2 1.00 4.39 .1688 1 1.00 4.61 .1689 1 1.00 4.33 .1690 1 1.00 4.18 .1691 1 1.00 4.28 .1692 1 1.00 4.15 .1693 1 1.00 4.29 .1694 2 1.00 4.76 .1695 2 1.00 4.17 .1696 1 1.00 4.34 .1697 1 1.00 4.31 .1698 1 1.00 4.19 .1699 1 1.00 4.09 .1700 1 1.00 4.34 .1701 1 1.00 4.17 .1702 1 1.00 3.98 .1703 1 1.00 4.19 .1704 1 1.00 4.18 .1705 1 1.00 4.15 .1706 1 1.00 4.15 .1707 1 1.00 4.06 .1708 1 1.00 4.05 .1709 1 1.00 4.01 .1710 1 1.00 3.76 .1711 1 1.00 3.90 .1712 1 1.00 3.73 .1713 2 1.00 4.06 .1714 1 1.00 3.87 .1715 1 1.00 3.98 .1716 1 1.00 3.97 .1717 1 1.00 3.91 .1718 1 1.00 3.71 .1719 1 1.00 3.85 .1720 1 1.00 3.92 .1721 1 1.00 3.87 .1722 1 1.00 3.82 .1723 1 1.00 3.85 .1724 1 1.00 3.74 .1725 1 1.00 3.83 .1726 1 1.00 3.80 .1727 1 1.00 3.77 .1728 1 1.00 3.91 .1729 1 1.00 3.58 .1730 1 1.00 3.78 .1731 1 1.00 3.71 .1732 1 1.00 3.63 .1733 1 1.00 3.84 .1734 1 1.00 3.78 .1735 1 1.00 3.75 .1736 1 1.00 3.76 .1737 1 1.00 3.83 .1738 2 1.00 3.77 .1739 1 1.00 3.71 .1740 1 1.00 3.79 .1741 1 1.00 3.51 .1742 1 1.00 3.83 .1743 2 1.00 3.67 .1744 1 1.00 3.57 .1745 2 1.00 3.76 .1746 1 1.00 3.79 .1747 1 1.00 3.60 .1748 1 1.00 3.61 .1749 1 1.00 3.71 .1750 1 1.00 3.81 .1751 1 1.00 4.15 .1752 1 1.00 3.75 .1753 1 1.00 3.68 .1754 1 1.00 3.72 .1755 2 1.00 3.70 .1756 1 1.00 3.56 .1757 1 1.00 3.57 .1758 1 1.00 4.04 .1759 1 1.00 3.74 .1760 1 1.00 3.70 .1761 1 1.00 3.59 .1762 1 1.00 3.73 .1763 1 1.00 3.55 .1764 1 1.00 3.60 .1765 1 1.00 3.75 .1766 2 1.00 3.81 .1767 1 1.00 3.96 .1768 1 1.00 3.73 .1769 1 1.00 3.66 .1770 1 1.00 3.57 .1771 1 1.00 3.58 .1772 1 1.00 3.59 .1773 1 1.00 4.02 .1774 1 1.00 3.85 .1775 1 1.00 3.39 .1776 1 1.00 3.61 .1777 1 1.00 3.43 .1778 2 1.00 3.60 .1779 1 1.00 4.06 .1780 1 1.00 3.46 .1781 1 1.00 3.43 .1782 1 1.00 3.46 .1783 1 1.00 3.60 .1784 1 1.00 3.36 .1785 1 1.00 3.44 .1786 1 1.00 3.41 .1787 1 1.00 3.49 .1788 1 1.00 3.41 .1789 1 1.00 3.45 .1790 1 1.00 3.65 .1791 1 1.00 3.42 .1792 1 1.00 3.37 .1793 1 1.00 3.53 .1794 1 1.00 3.48 .1795 1 1.00 3.60 .1796 2 1.00 3.44 .1797 1 1.00 3.46 .1798 1 1.00 3.55 .1799 1 1.00 3.60 .1800 1 1.00 3.43 .1801 1 1.00 3.32 .1802 1 1.00 3.46 .1803 1 1.00 3.37 .1804 1 1.00 3.58 .1805 1 1.00 3.44 .1806 1 1.00 3.57 .1807 1 1.00 3.50 .1808 2 1.00 3.49 .1809 1 1.00 3.33 .1810 1 1.00 3.55 .1811 1 1.00 3.60 .1812 1 1.00 3.50 .1813 1 1.00 3.49 .1814 1 1.00 3.42 .1815 1 1.00 3.48 .1816 1 1.00 3.95 .1817 1 1.00 3.59 .1818 1 1.00 3.38 .1819 1 1.00 3.50 .1820 1 1.00 3.36 .1821 1 1.00 3.47 .1822 1 1.00 3.51 .1823 1 1.00 3.33 .1824 1 1.00 3.51 .1825 2 1.00 3.66 .1826 1 1.00 3.53 .1827 1 1.00 3.43 .1828 1 1.00 3.44 .1829 1 1.00 3.38 .1830 1 1.00 3.42 .1831 1 1.00 3.45 .1832 1 1.00 3.55 .1833 1 1.00 3.63 .1834 1 1.00 3.46 .1835 1 1.00 3.47 .1836 1 1.00 3.54 .1837 1 1.00 3.47 .1838 1 1.00 3.57 .1839 1 1.00 3.48 .1840 1 1.00 3.48 .1841 1 1.00 3.51 .1842 1 1.00 3.48 .1843 1 1.00 3.23 .1844 1 1.00 3.49 .1845 1 1.00 3.34 .1846 1 1.00 3.48 .1847 1 1.00 3.35 .1848 1 1.00 3.18 .1849 1 1.00 3.27 .1850 1 1.00 3.25 .1851 1 1.00 3.18 .1852 1 1.00 3.18 .1853 1 1.00 3.02 .1854 1 1.00 3.14 .1855 1 1.00 3.27 .1856 1 1.00 3.28 .1857 1 1.00 3.45 .1858 1 1.00 3.46 .1859 1 1.00 3.52 .1860 1 1.00 3.59 .1861 1 1.00 3.73 .1862 1 1.00 3.72 .1863 1 1.00 3.64 .1864 1 1.00 3.63 .1865 1 1.00 3.34 .1866 1 1.00 3.47 .1867 1 1.00 3.58 .1868 1 1.00 3.26 .1869 1 1.00 3.34 .1870 1 1.00 3.29 .1871 1 1.00 3.26 .1872 1 1.00 3.26 .1873 1 1.00 3.18 .1874 1 1.00 3.10 .1875 1 1.00 3.22 .1876 1 1.00 3.03 .1877 1 1.00 3.06 .1878 1 1.00 2.99 .1879 1 1.00 3.04 .1880 1 1.00 3.17 .1881 1 1.00 3.24 .1882 1 1.00 2.97 .1883 1 1.00 3.22 .1884 1 1.00 3.14 .1885 1 1.00 3.03 .1886 1 1.00 3.22 .1887 1 1.00 3.03 .1888 1 1.00 3.19 .1889 1 1.00 3.05 .1890 1 1.00 3.07 .1891 1 1.00 3.07 .1892 1 1.00 3.28 .1893 1 1.00 3.24 .1894 1 1.00 3.00 .1895 1 1.00 3.15 .1896 1 1.00 3.00 .1897 1 1.00 3.13 .1898 1 1.00 3.15 .1899 1 1.00 2.93 .1900 1 1.00 3.09 .1901 2 1.00 3.16 .1902 1 1.00 3.11 .1903 1 1.00 3.20 .1904 1 1.00 3.21 .1905 2 1.00 3.05 .1906 1 1.00 3.43 .1907 1 1.00 3.06 .1908 1 1.00 2.90 .1909 1 1.00 3.13 .1910 1 1.00 3.09 .1911 1 1.00 3.17 .1912 1 1.00 3.03 .1913 1 1.00 3.10 .1914 1 1.00 2.96 .1915 1 1.00 2.84 .1916 1 1.00 2.91 .1917 1 1.00 3.03 .1918 1 1.00 2.88 .1919 1 1.00 2.94 .1920 1 1.00 2.90 .1921 1 1.00 2.86 .1922 1 1.00 3.24 .1923 1 1.00 2.95 .1924 1 1.00 2.84 .1925 1 1.00 2.81 .1926 1 1.00 2.92 .1927 1 1.00 2.91 .1928 1 1.00 2.79 .1929 1 1.00 2.94 .1930 1 1.00 2.78 .1931 2 1.00 2.75 .1932 2 1.00 2.77 .1933 2 1.00 2.91 .1934 1 1.00 2.85 .1935 2 1.00 2.81 .1936 2 1.00 2.75 .1937 2 1.00 2.72 .1938 1 1.00 2.60 .1939 1 1.00 2.54 .1940 1 1.00 2.59 .1941 1 1.00 2.71 .1942 1 1.00 2.57 .1943 1 1.00 2.61 .1944 1 1.00 2.55 .1945 1 1.00 2.64 .1946 1 1.00 2.66 .1947 2 1.00 2.73 .1948 1 1.00 2.75 .1949 1 1.00 2.61 .1950 1 1.00 2.59 .1951 1 1.00 2.87 .1952 1 1.00 2.55 .1953 1 1.00 2.58 .1954 1 1.00 2.68 .1955 1 1.00 2.48 .1956 1 1.00 2.64 .1957 1 1.00 2.50 .1958 1 1.00 2.54 .1959 2 1.00 2.55 .1960 1 1.00 2.71 .1961 1 1.00 2.75 .1962 1 1.00 2.40 .1963 1 1.00 2.54 .1964 1 1.00 2.88 .1965 2 1.00 2.86 .1966 2 1.00 2.52 .1967 1 1.00 2.95 .1968 1 1.00 2.53 .1969 1 1.00 2.60 .1970 1 1.00 2.58 .1971 1 1.00 2.66 .1972 1 1.00 2.56 .1973 2 1.00 2.49 .1974 2 1.00 2.63 .1975 1 1.00 2.58 .1976 1 1.00 2.93 .1977 2 1.00 2.83 .1978 2 1.00 2.55 .1979 1 1.00 2.52 .1980 1 1.00 2.62 .1981 1 1.00 2.55 .1982 1 1.00 2.59 .1983 2 1.00 2.66 .1984 1 1.00 2.50 .1985 1 1.00 2.51 .1986 1 1.00 2.46 .1987 2 1.00 2.78 .1988 2 1.00 2.73 .1989 2 1.00 2.35 .1990 1 1.00 2.53 .1991 1 1.00 2.46 .1992 1 1.00 2.48 .1993 1 1.00 2.59 .1994 1 1.00 2.21 .1995 1 1.00 2.64 .1996 1 1.00 2.40 .1997 1 1.00 2.66 .1998 3 1.00 2.99 .1999 2 1.00 2.33 .2000 2 1.00 2.44 .2001 1 1.00 2.41 .2002 1 1.00 2.91 .2003 1 1.00 2.46 .2004 1 1.00 2.24 .2005 1 1.00 2.76 .2006 1 1.00 2.28 .2007 1 1.00 2.25 .2008 1 1.00 2.23 .2009 1 1.00 2.30 .2010 1 1.00 2.25 .2011 1 1.00 2.20 .2012 1 1.00 2.20 .2013 1 1.00 2.17 .2014 1 1.00 2.25 .2015 1 1.00 2.21 .2016 1 1.00 2.15 .2017 1 1.00 2.25 .2018 1 1.00 2.21 .2019 1 1.00 2.22 .2020 1 1.00 2.25 .2021 1 1.00 2.23 .2022 1 1.00 2.30 .2023 1 1.00 2.25 .2024 1 1.00 2.15 .2025 1 1.00 2.13 .2026 1 1.00 2.14 .2027 1 1.00 2.29 .2028 1 1.00 2.16 .2029 1 1.00 2.11 .2030 1 1.00 2.10 .2031 1 1.00 2.08 .2032 1 1.00 2.14 .2033 2 1.00 2.17 .2034 1 1.00 2.61 .2035 1 1.00 2.16 .2036 1 1.00 2.01 .2037 1 1.00 2.06 .2038 3 1.00 2.12 .2039 1 1.00 2.24 .2040 1 1.00 2.19 .2041 1 1.00 2.23 .2042 1 1.00 2.18 .2043 1 1.00 2.04 .2044 1 1.00 2.04 .2045 1 1.00 2.10 .2046 1 1.00 2.15 .2047 1 1.00 2.14 EXTRACT_IMAGE: b1: masked 137 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITFLATWIDTH: b1: Median spatial widths = 0.96 0.97 0.98 0.98 pix (LL LR UL UR) SPCALIB: b1: Using Cubic, median chi squareds: vs SPCALIB: b1: Found 0 bright pixels in extracted flat sdR-b1-00034673.fit SPCALIB: b1: Tracing flat # 2 of 2 SPCALIB: b1: Reading flat sdR-b1-00034676.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.80121 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1219.35 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1200. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.08933 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1022.35 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1006. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Tracing 320 fibers in sdR-b1-00034676.fit TRACE320CEN: b1: Big gap at fiber= 20, x= 138.33, dx= 7.94 TRACE320CEN: b1: Big gap at fiber= 40, x= 264.88, dx= 8.12 TRACE320CEN: b1: Big gap at fiber= 60, x= 390.40, dx= 7.56 TRACE320CEN: b1: Big gap at fiber= 80, x= 516.83, dx= 8.73 TRACE320CEN: b1: Big gap at fiber= 100, x= 641.99, dx= 8.01 TRACE320CEN: b1: Big gap at fiber= 120, x= 767.50, dx= 8.52 TRACE320CEN: b1: Big gap at fiber= 140, x= 892.63, dx= 8.48 TRACE320CEN: b1: Big gap at fiber= 160, x=1017.12, dx= 7.97 TRACE320CEN: b1: Big gap at fiber= 180, x=1142.50, dx= 8.76 TRACE320CEN: b1: Big gap at fiber= 200, x=1267.39, dx= 7.69 TRACE320CEN: b1: Big gap at fiber= 220, x=1392.98, dx= 8.57 TRACE320CEN: b1: Big gap at fiber= 260, x=1643.68, dx= 8.29 TRACE320CEN: b1: Big gap at fiber= 280, x=1769.39, dx= 7.83 TRACE320CEN: b1: Big gap at fiber= 300, x=1896.01, dx= 8.38 TRACE320CRUDE: b1: Warning: Fixing traces: 90 91 163 164 251 294 SPCALIB: b1: Fitting traces in sdR-b1-00034676.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 4 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 1 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 1 20 2048 1 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 1 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 5 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 1 37 2048 4 38 2048 4 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 1 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 3 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 3 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 1 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 2 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 3 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 1 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 1 251 2048 0 252 2048 1 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 1 258 2048 0 259 2048 0 260 2048 0 261 2048 1 262 2048 0 263 2048 0 264 2048 0 265 2048 1 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 13 278 2048 50 279 2048 52 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 3 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 3 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 1 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 163 SPCALIB: b1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 1.27 .0004 1 1.00 1.22 .0005 1 1.00 1.27 .0006 1 1.00 1.14 .0007 1 1.00 1.23 .0008 1 1.00 1.28 .0009 1 1.00 1.22 .0010 1 1.00 1.24 .0011 1 1.00 1.21 .0012 2 1.00 1.17 .0013 2 1.00 1.28 .0014 2 1.00 1.26 .0015 2 1.00 1.50 .0016 1 1.00 1.28 .0017 1 1.00 1.38 .0018 1 1.00 1.36 .0019 1 1.00 1.29 .0020 1 1.00 1.29 .0021 1 1.00 1.37 .0022 2 1.00 1.42 .0023 1 1.00 1.33 .0024 1 1.00 1.41 .0025 1 1.00 1.39 .0026 2 1.00 1.48 .0027 1 1.00 1.53 .0028 2 1.00 1.55 .0029 1 1.00 1.51 .0030 1 1.00 1.46 .0031 1 1.00 1.52 .0032 1 1.00 1.42 .0033 2 1.00 1.49 .0034 1 1.00 1.57 .0035 1 1.00 1.54 .0036 1 1.00 1.58 .0037 1 1.00 1.63 .0038 1 1.00 1.58 .0039 1 1.00 1.56 .0040 1 1.00 1.57 .0041 1 1.00 1.68 .0042 1 1.00 1.63 .0043 1 1.00 1.69 .0044 1 1.00 1.66 .0045 1 1.00 1.77 .0046 1 1.00 1.71 .0047 1 1.00 1.74 .0048 1 1.00 1.75 .0049 1 1.00 1.76 .0050 2 1.00 1.81 .0051 3 1.00 1.70 .0052 2 1.00 1.84 .0053 1 1.00 1.88 .0054 1 1.00 1.90 .0055 3 1.00 1.78 .0056 1 1.00 1.97 .0057 1 1.00 1.87 .0058 1 1.00 1.86 .0059 1 1.00 1.88 .0060 1 1.00 1.89 .0061 1 1.00 1.88 .0062 1 1.00 1.81 .0063 1 1.00 1.68 .0064 1 1.00 1.82 .0065 1 1.00 1.87 .0066 1 1.00 1.99 .0067 1 1.00 1.88 .0068 1 1.00 1.75 .0069 1 1.00 1.93 .0070 1 1.00 1.95 .0071 3 1.00 1.81 .0072 2 1.00 2.46 .0073 1 1.00 1.86 .0074 1 1.00 1.87 .0075 1 1.00 1.95 .0076 1 1.00 1.95 .0077 1 1.00 2.00 .0078 1 1.00 1.87 .0079 1 1.00 1.80 .0080 1 1.00 1.93 .0081 1 1.00 1.96 .0082 1 1.00 1.97 .0083 2 1.00 1.77 .0084 1 1.00 1.96 .0085 1 1.00 1.93 .0086 1 1.00 1.79 .0087 1 1.00 1.97 .0088 1 1.00 1.93 .0089 1 1.00 1.91 .0090 1 1.00 1.85 .0091 1 1.00 2.03 .0092 1 1.00 1.97 .0093 2 1.00 2.02 .0094 1 1.00 2.44 .0095 2 1.00 1.99 .0096 1 1.00 1.96 .0097 1 1.00 1.90 .0098 1 1.00 2.01 .0099 1 1.00 1.95 .0100 1 1.00 1.98 .0101 1 1.00 1.97 .0102 1 1.00 1.90 .0103 1 1.00 1.96 .0104 1 1.00 1.96 .0105 1 1.00 1.89 .0106 1 1.00 1.96 .0107 1 1.00 1.96 .0108 1 1.00 2.08 .0109 1 1.00 1.98 .0110 1 1.00 1.89 .0111 1 1.00 1.94 .0112 1 1.00 1.97 .0113 1 1.00 1.96 .0114 1 1.00 1.89 .0115 1 1.00 1.96 .0116 1 1.00 1.97 .0117 1 1.00 1.92 .0118 1 1.00 2.02 .0119 1 1.00 1.90 .0120 2 1.00 1.99 .0121 1 1.00 1.97 .0122 1 1.00 1.96 .0123 1 1.00 1.87 .0124 1 1.00 2.01 .0125 1 1.00 1.82 .0126 1 1.00 1.94 .0127 1 1.00 1.89 .0128 1 1.00 2.01 .0129 2 1.00 1.98 .0130 1 1.00 1.92 .0131 1 1.00 1.87 .0132 1 1.00 1.96 .0133 2 1.00 1.99 .0134 1 1.00 1.91 .0135 1 1.00 1.94 .0136 1 1.00 2.02 .0137 1 1.00 1.83 .0138 1 1.00 1.96 .0139 1 1.00 2.03 .0140 1 1.00 1.99 .0141 1 1.00 2.04 .0142 1 1.00 1.90 .0143 1 1.00 1.83 .0144 1 1.00 1.90 .0145 1 1.00 1.84 .0146 1 1.00 1.97 .0147 3 1.00 1.83 .0148 1 1.00 1.85 .0149 1 1.00 1.84 .0150 1 1.00 1.98 .0151 1 1.00 1.95 .0152 1 1.00 1.90 .0153 1 1.00 1.97 .0154 1 1.00 1.95 .0155 1 1.00 1.90 .0156 1 1.00 1.93 .0157 1 1.00 2.00 .0158 1 1.00 1.94 .0159 1 1.00 1.95 .0160 1 1.00 1.97 .0161 1 1.00 1.92 .0162 1 1.00 1.92 .0163 1 1.00 1.91 .0164 3 1.00 2.02 .0165 3 1.00 2.02 .0166 1 1.00 1.89 .0167 1 1.00 1.92 .0168 1 1.00 1.95 .0169 1 1.00 2.04 .0170 1 1.00 1.93 .0171 1 1.00 1.90 .0172 2 1.00 1.95 .0173 1 1.00 2.05 .0174 1 1.00 1.90 .0175 2 1.00 2.03 .0176 1 1.00 1.95 .0177 1 1.00 1.89 .0178 3 1.00 1.94 .0179 1 1.00 2.41 .0180 2 1.00 2.03 .0181 1 1.00 1.99 .0182 1 1.00 1.91 .0183 1 1.00 2.05 .0184 1 1.00 1.96 .0185 1 1.00 1.91 .0186 1 1.00 2.06 .0187 1 1.00 1.97 .0188 1 1.00 2.07 .0189 1 1.00 1.96 .0190 1 1.00 2.03 .0191 1 1.00 1.97 .0192 1 1.00 2.00 .0193 1 1.00 2.09 .0194 1 1.00 1.94 .0195 1 1.00 1.93 .0196 1 1.00 2.03 .0197 1 1.00 1.98 .0198 1 1.00 1.92 .0199 1 1.00 1.93 .0200 1 1.00 1.98 .0201 1 1.00 1.93 .0202 1 1.00 2.13 .0203 2 1.00 2.34 .0204 1 1.00 2.00 .0205 1 1.00 1.96 .0206 1 1.00 1.92 .0207 1 1.00 2.05 .0208 3 1.00 2.20 .0209 2 1.00 2.27 .0210 1 1.00 1.98 .0211 1 1.00 2.20 .0212 1 1.00 2.06 .0213 1 1.00 2.05 .0214 1 1.00 2.04 .0215 1 1.00 2.14 .0216 1 1.00 2.24 .0217 1 1.00 2.23 .0218 1 1.00 2.18 .0219 2 1.00 2.05 .0220 1 1.00 2.30 .0221 1 1.00 2.09 .0222 2 1.00 2.34 .0223 2 1.00 2.40 .0224 2 1.00 2.44 .0225 1 1.00 2.26 .0226 1 1.00 2.16 .0227 1 1.00 2.19 .0228 1 1.00 2.36 .0229 1 1.00 2.35 .0230 2 1.00 2.59 .0231 2 1.00 2.31 .0232 1 1.00 2.50 .0233 1 1.00 2.37 .0234 2 1.00 2.34 .0235 1 1.00 2.35 .0236 1 1.00 2.46 .0237 1 1.00 2.48 .0238 1 1.00 2.36 .0239 1 1.00 2.43 .0240 1 1.00 2.44 .0241 2 1.00 2.53 .0242 1 1.00 2.67 .0243 1 1.00 2.52 .0244 1 1.00 2.58 .0245 2 1.00 2.54 .0246 2 1.00 2.62 .0247 1 1.00 2.58 .0248 1 1.00 2.73 .0249 1 1.00 2.84 .0250 1 1.00 2.61 .0251 1 1.00 2.64 .0252 1 1.00 2.76 .0253 1 1.00 2.79 .0254 1 1.00 2.85 .0255 1 1.00 2.75 .0256 1 1.00 2.92 .0257 1 1.00 2.83 .0258 1 1.00 2.81 .0259 2 1.00 2.86 .0260 1 1.00 2.97 .0261 1 1.00 2.99 .0262 1 1.00 2.83 .0263 1 1.00 2.87 .0264 1 1.00 3.01 .0265 1 1.00 2.97 .0266 1 1.00 2.91 .0267 1 1.00 3.03 .0268 1 1.00 3.19 .0269 3 1.00 2.96 .0270 1 1.00 2.98 .0271 1 1.00 3.33 .0272 1 1.00 3.21 .0273 1 1.00 3.09 .0274 1 1.00 3.06 .0275 1 1.00 3.13 .0276 1 1.00 3.36 .0277 1 1.00 3.21 .0278 1 1.00 3.11 .0279 1 1.00 3.30 .0280 1 1.00 3.31 .0281 1 1.00 3.14 .0282 1 1.00 3.36 .0283 1 1.00 3.22 .0284 1 1.00 3.33 .0285 1 1.00 3.53 .0286 1 1.00 3.34 .0287 1 1.00 3.34 .0288 1 1.00 3.34 .0289 1 1.00 3.43 .0290 1 1.00 3.65 .0291 1 1.00 3.44 .0292 1 1.00 3.39 .0293 1 1.00 3.46 .0294 1 1.00 3.63 .0295 1 1.00 3.55 .0296 1 1.00 3.51 .0297 1 1.00 3.81 .0298 1 1.00 3.60 .0299 1 1.00 3.56 .0300 1 1.00 3.86 .0301 2 1.00 3.77 .0302 1 1.00 3.75 .0303 1 1.00 3.68 .0304 1 1.00 3.75 .0305 1 1.00 3.77 .0306 1 1.00 3.74 .0307 1 1.00 3.95 .0308 1 1.00 3.92 .0309 1 1.00 3.91 .0310 1 1.00 3.91 .0311 1 1.00 3.84 .0312 1 1.00 3.99 .0313 1 1.00 3.89 .0314 1 1.00 3.82 .0315 1 1.00 4.06 .0316 1 1.00 4.00 .0317 1 1.00 4.15 .0318 1 1.00 4.01 .0319 1 1.00 4.31 .0320 1 1.00 4.03 .0321 2 1.00 4.31 .0322 2 1.00 4.28 .0323 1 1.00 4.14 .0324 1 1.00 4.16 .0325 1 1.00 4.24 .0326 1 1.00 4.18 .0327 1 1.00 4.31 .0328 1 1.00 4.18 .0329 1 1.00 4.41 .0330 1 1.00 4.44 .0331 1 1.00 4.35 .0332 1 1.00 4.27 .0333 1 1.00 4.25 .0334 1 1.00 4.45 .0335 1 1.00 4.34 .0336 1 1.00 4.43 .0337 1 1.00 4.42 .0338 1 1.00 4.57 .0339 1 1.00 4.40 .0340 1 1.00 4.41 .0341 1 1.00 4.70 .0342 1 1.00 4.55 .0343 1 1.00 4.55 .0344 1 1.00 4.51 .0345 1 1.00 4.54 .0346 1 1.00 4.66 .0347 1 1.00 4.63 .0348 1 1.00 4.58 .0349 1 1.00 4.63 .0350 1 1.00 4.69 .0351 1 1.00 4.57 .0352 1 1.00 4.82 .0353 1 1.00 4.63 .0354 1 1.00 4.73 .0355 1 1.00 4.83 .0356 1 1.00 4.77 .0357 1 1.00 4.93 .0358 1 1.00 4.84 .0359 1 1.00 4.81 .0360 1 1.00 4.88 .0361 1 1.00 4.95 .0362 1 1.00 4.85 .0363 1 1.00 5.00 .0364 1 1.00 5.48 .0365 1 1.00 4.88 .0366 1 1.00 4.70 .0367 1 1.00 5.70 .0368 1 1.00 4.74 .0369 1 1.00 5.08 .0370 1 1.00 5.07 .0371 1 1.00 4.96 .0372 1 1.00 4.84 .0373 1 1.00 5.00 .0374 1 1.00 5.38 .0375 1 1.00 5.22 .0376 1 1.00 5.04 .0377 1 1.00 5.27 .0378 1 1.00 5.42 .0379 1 1.00 5.32 .0380 1 1.00 5.24 .0381 1 1.00 5.22 .0382 1 1.00 5.44 .0383 1 1.00 5.27 .0384 1 1.00 5.28 .0385 1 1.00 5.54 .0386 1 1.00 5.29 .0387 1 1.00 5.22 .0388 1 1.00 5.48 .0389 1 1.00 5.35 .0390 1 1.00 5.59 .0391 1 1.00 5.36 .0392 1 1.00 5.49 .0393 1 1.00 5.36 .0394 1 1.00 5.57 .0395 1 1.00 5.46 .0396 1 1.00 5.51 .0397 1 1.00 5.58 .0398 1 1.00 5.78 .0399 1 1.00 5.85 .0400 1 1.00 5.44 .0401 1 1.00 5.66 .0402 1 1.00 5.57 .0403 1 1.00 5.69 .0404 1 1.00 5.63 .0405 1 1.00 5.47 .0406 1 1.00 5.64 .0407 1 1.00 5.60 .0408 1 1.00 5.85 .0409 1 1.00 5.87 .0410 1 1.00 5.87 .0411 1 1.00 5.58 .0412 1 1.00 6.01 .0413 1 1.00 5.57 .0414 1 1.00 6.22 .0415 1 1.00 5.77 .0416 1 1.00 5.65 .0417 1 1.00 5.92 .0418 1 1.00 5.99 .0419 1 1.00 6.02 .0420 1 1.00 5.77 .0421 1 1.00 5.85 .0422 1 1.00 6.03 .0423 1 1.00 5.74 .0424 1 1.00 5.94 .0425 1 1.00 6.12 .0426 1 1.00 5.80 .0427 1 1.00 5.95 .0428 1 1.00 5.89 .0429 1 1.00 5.90 .0430 1 1.00 6.18 .0431 1 1.00 6.04 .0432 1 1.00 5.99 .0433 1 1.00 5.94 .0434 1 1.00 6.11 .0435 1 1.00 6.14 .0436 1 1.00 6.16 .0437 1 1.00 6.05 .0438 1 1.00 6.16 .0439 1 1.00 6.37 .0440 1 1.00 6.15 .0441 1 1.00 6.76 .0442 1 1.00 6.15 .0443 1 1.00 6.26 .0444 1 1.00 6.46 .0445 1 1.00 6.24 .0446 1 1.00 6.27 .0447 1 1.00 6.52 .0448 1 1.00 6.79 .0449 1 1.00 6.28 .0450 1 1.00 6.10 .0451 1 1.00 6.32 .0452 1 1.00 6.51 .0453 1 1.00 6.37 .0454 1 1.00 6.19 .0455 1 1.00 6.38 .0456 1 1.00 6.54 .0457 1 1.00 6.62 .0458 1 1.00 6.25 .0459 1 1.00 6.48 .0460 1 1.00 6.16 .0461 1 1.00 6.61 .0462 1 1.00 6.48 .0463 1 1.00 6.46 .0464 1 1.00 6.12 .0465 1 1.00 6.44 .0466 1 1.00 6.44 .0467 1 1.00 6.60 .0468 1 1.00 6.87 .0469 1 1.00 6.46 .0470 1 1.00 6.57 .0471 1 1.00 6.41 .0472 1 1.00 6.61 .0473 1 1.00 6.34 .0474 1 1.00 6.50 .0475 1 1.00 6.58 .0476 1 1.00 6.84 .0477 3 1.00 6.18 .0478 1 1.00 6.69 .0479 1 1.00 6.65 .0480 1 1.00 6.66 .0481 1 1.00 6.60 .0482 1 1.00 6.30 .0483 1 1.00 6.37 .0484 1 1.00 6.49 .0485 1 1.00 6.44 .0486 1 1.00 6.23 .0487 1 1.00 6.49 .0488 1 1.00 6.69 .0489 1 1.00 6.48 .0490 1 1.00 6.45 .0491 1 1.00 6.25 .0492 1 1.00 6.43 .0493 1 1.00 6.68 .0494 1 1.00 6.60 .0495 1 1.00 6.35 .0496 1 1.00 6.32 .0497 1 1.00 6.33 .0498 1 1.00 6.54 .0499 1 1.00 6.51 .0500 1 1.00 6.25 .0501 1 1.00 6.77 .0502 1 1.00 6.45 .0503 1 1.00 6.22 .0504 1 1.00 6.26 .0505 1 1.00 6.55 .0506 1 1.00 6.29 .0507 1 1.00 6.34 .0508 1 1.00 6.44 .0509 1 1.00 6.25 .0510 1 1.00 6.35 .0511 1 1.00 6.29 .0512 1 1.00 6.33 .0513 1 1.00 6.16 .0514 1 1.00 6.27 .0515 1 1.00 6.34 .0516 1 1.00 6.19 .0517 1 1.00 6.03 .0518 1 1.00 6.20 .0519 1 1.00 6.17 .0520 1 1.00 6.49 .0521 1 1.00 6.13 .0522 1 1.00 6.34 .0523 1 1.00 7.11 .0524 1 1.00 6.35 .0525 1 1.00 6.42 .0526 1 1.00 6.23 .0527 1 1.00 6.25 .0528 1 1.00 6.38 .0529 1 1.00 6.22 .0530 1 1.00 6.13 .0531 1 1.00 6.20 .0532 1 1.00 6.39 .0533 1 1.00 6.50 .0534 1 1.00 6.28 .0535 1 1.00 6.10 .0536 1 1.00 6.24 .0537 1 1.00 6.21 .0538 1 1.00 6.29 .0539 1 1.00 6.94 .0540 1 1.00 6.12 .0541 1 1.00 6.12 .0542 1 1.00 6.37 .0543 1 1.00 6.11 .0544 1 1.00 6.40 .0545 1 1.00 6.08 .0546 1 1.00 6.03 .0547 1 1.00 6.04 .0548 1 1.00 6.13 .0549 1 1.00 6.19 .0550 1 1.00 6.12 .0551 1 1.00 6.13 .0552 1 1.00 6.17 .0553 1 1.00 6.08 .0554 1 1.00 6.21 .0555 1 1.00 6.13 .0556 1 1.00 5.96 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1.00 3.33 .1834 2 1.00 4.15 .1835 1 1.00 3.86 .1836 2 1.00 3.51 .1837 2 1.00 3.58 .1838 1 1.00 3.78 .1839 1 1.00 3.50 .1840 1 1.00 3.43 .1841 1 1.00 3.24 .1842 1 1.00 3.33 .1843 1 1.00 3.25 .1844 1 1.00 3.13 .1845 1 1.00 3.37 .1846 1 1.00 3.26 .1847 1 1.00 3.23 .1848 1 1.00 3.34 .1849 1 1.00 3.21 .1850 1 1.00 3.21 .1851 1 1.00 3.27 .1852 1 1.00 3.32 .1853 1 1.00 3.48 .1854 1 1.00 3.17 .1855 1 1.00 3.44 .1856 1 1.00 3.50 .1857 1 1.00 3.44 .1858 1 1.00 3.62 .1859 1 1.00 3.66 .1860 1 1.00 3.60 .1861 1 1.00 3.68 .1862 2 1.00 3.39 .1863 1 1.00 3.39 .1864 1 1.00 3.50 .1865 1 1.00 3.66 .1866 1 1.00 3.31 .1867 1 1.00 3.24 .1868 1 1.00 3.12 .1869 2 1.00 3.25 .1870 1 1.00 3.27 .1871 1 1.00 3.02 .1872 1 1.00 2.96 .1873 1 1.00 3.00 .1874 1 1.00 3.03 .1875 1 1.00 3.05 .1876 1 1.00 3.00 .1877 1 1.00 3.04 .1878 1 1.00 3.44 .1879 1 1.00 3.67 .1880 1 1.00 3.01 .1881 1 1.00 3.09 .1882 2 1.00 3.14 .1883 1 1.00 3.10 .1884 1 1.00 3.01 .1885 1 1.00 2.93 .1886 1 1.00 3.00 .1887 1 1.00 3.04 .1888 1 1.00 3.16 .1889 1 1.00 3.09 .1890 1 1.00 3.07 .1891 1 1.00 2.92 .1892 1 1.00 2.92 .1893 1 1.00 3.11 .1894 1 1.00 3.10 .1895 1 1.00 2.99 .1896 1 1.00 3.07 .1897 1 1.00 2.94 .1898 1 1.00 3.24 .1899 1 1.00 3.12 .1900 1 1.00 3.10 .1901 1 1.00 3.02 .1902 1 1.00 3.05 .1903 1 1.00 2.99 .1904 1 1.00 3.16 .1905 1 1.00 3.07 .1906 1 1.00 3.11 .1907 1 1.00 2.95 .1908 1 1.00 3.05 .1909 1 1.00 3.49 .1910 1 1.00 2.82 .1911 1 1.00 3.00 .1912 1 1.00 2.92 .1913 1 1.00 3.05 .1914 1 1.00 2.89 .1915 1 1.00 2.70 .1916 1 1.00 3.60 .1917 1 1.00 2.80 .1918 1 1.00 2.92 .1919 1 1.00 2.77 .1920 1 1.00 2.89 .1921 1 1.00 2.91 .1922 1 1.00 2.71 .1923 1 1.00 2.80 .1924 1 1.00 2.74 .1925 2 1.00 2.78 .1926 1 1.00 2.72 .1927 1 1.00 2.80 .1928 1 1.00 2.76 .1929 1 1.00 2.78 .1930 1 1.00 2.71 .1931 1 1.00 2.84 .1932 1 1.00 2.72 .1933 1 1.00 2.62 .1934 1 1.00 2.78 .1935 1 1.00 2.58 .1936 1 1.00 2.46 .1937 1 1.00 2.62 .1938 1 1.00 2.58 .1939 1 1.00 2.59 .1940 1 1.00 2.52 .1941 1 1.00 2.44 .1942 1 1.00 2.61 .1943 1 1.00 2.69 .1944 1 1.00 2.53 .1945 1 1.00 2.57 .1946 1 1.00 2.56 .1947 1 1.00 2.59 .1948 1 1.00 2.38 .1949 2 1.00 2.59 .1950 1 1.00 2.57 .1951 1 1.00 2.60 .1952 1 1.00 2.62 .1953 2 1.00 2.59 .1954 1 1.00 2.52 .1955 1 1.00 2.48 .1956 1 1.00 2.53 .1957 1 1.00 2.71 .1958 1 1.00 2.82 .1959 3 1.00 2.85 .1960 1 1.00 2.53 .1961 1 1.00 2.51 .1962 2 1.00 2.40 .1963 2 1.00 2.66 .1964 1 1.00 2.55 .1965 1 1.00 2.52 .1966 1 1.00 2.66 .1967 1 1.00 2.49 .1968 1 1.00 2.62 .1969 2 1.00 2.46 .1970 2 1.00 2.45 .1971 1 1.00 2.50 .1972 1 1.00 2.36 .1973 1 1.00 2.49 .1974 2 1.00 2.58 .1975 2 1.00 2.57 .1976 1 1.00 2.47 .1977 1 1.00 2.48 .1978 1 1.00 2.52 .1979 1 1.00 2.43 .1980 1 1.00 2.57 .1981 1 1.00 2.44 .1982 1 1.00 2.36 .1983 1 1.00 2.58 .1984 1 1.00 2.49 .1985 1 1.00 2.47 .1986 1 1.00 2.30 .1987 1 1.00 2.38 .1988 1 1.00 2.44 .1989 1 1.00 2.35 .1990 1 1.00 2.43 .1991 1 1.00 2.36 .1992 1 1.00 2.65 .1993 1 1.00 2.24 .1994 1 1.00 2.42 .1995 1 1.00 2.27 .1996 1 1.00 2.66 .1997 1 1.00 2.76 .1998 2 1.00 2.40 .1999 2 1.00 2.74 .2000 2 1.00 2.58 .2001 3 1.00 2.32 .2002 2 1.00 2.41 .2003 1 1.00 2.42 .2004 1 1.00 2.25 .2005 1 1.00 2.08 .2006 1 1.00 2.24 .2007 1 1.00 2.30 .2008 2 1.00 2.24 .2009 1 1.00 2.22 .2010 1 1.00 2.29 .2011 2 1.00 2.05 .2012 1 1.00 2.14 .2013 3 1.00 2.10 .2014 4 1.00 2.15 .2015 4 1.00 2.39 .2016 2 1.00 2.46 .2017 1 1.00 2.12 .2018 1 1.00 2.29 .2019 1 1.00 2.28 .2020 1 1.00 2.08 .2021 1 1.00 2.28 .2022 1 1.00 2.18 .2023 3 1.00 2.18 .2024 1 1.00 2.20 .2025 1 1.00 2.13 .2026 1 1.00 2.02 .2027 1 1.00 2.13 .2028 1 1.00 2.18 .2029 1 1.00 2.07 .2030 1 1.00 2.16 .2031 1 1.00 2.06 .2032 1 1.00 2.04 .2033 1 1.00 2.00 .2034 1 1.00 2.11 .2035 1 1.00 2.04 .2036 1 1.00 1.97 .2037 1 1.00 2.20 .2038 1 1.00 2.17 .2039 1 1.00 2.09 .2040 1 1.00 2.13 .2041 1 1.00 2.09 .2042 1 1.00 2.18 .2043 1 1.00 2.03 .2044 1 1.00 2.25 .2045 1 1.00 2.32 .2046 2 1.00 2.22 .2047 1 1.00 2.27 EXTRACT_IMAGE: b1: masked 136 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITFLATWIDTH: b1: Median spatial widths = 0.96 0.97 0.97 0.98 pix (LL LR UL UR) SPCALIB: b1: Using Cubic, median chi squareds: vs SPCALIB: b1: Found 0 bright pixels in extracted flat sdR-b1-00034676.fit SPCALIB: b1: Extracting arc # 1 of 2 SPCALIB: b1: Reading arc sdR-b1-00034674.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.71373 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1217.73 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1198. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 2.90591 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1021.80 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1006. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Fraction of bad pixels in arc = 3.55244e-05 SPCALIB: b1: Arc sdR-b1-00034674.fit paired with flat sdR-b1-00034673.fit MATCH_TRACE: b1: Iteration: 0 Pixels Rejected: 3450 Finished? 0 MATCH_TRACE: b1: Iteration: 1 Pixels Rejected: 210 Finished? 0 MATCH_TRACE: b1: Iteration: 2 Pixels Rejected: 25 Finished? 0 MATCH_TRACE: b1: Iteration: 3 Pixels Rejected: 3 Finished? 0 MATCH_TRACE: b1: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: b1: Iteration: 5 Pixels Rejected: 0 Finished? 1 SPCALIB: b1: Shifting traces with match_trace -0.00317383 SPCALIB: b1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 2 0.93 1.28 .0004 1 0.93 1.27 .0005 1 0.93 1.28 .0006 2 0.93 1.37 .0007 1 0.93 1.28 .0008 1 0.93 1.56 .0009 1 0.93 1.65 .0010 2 0.93 3.15 .0011 1 0.93 4.65 .0012 1 0.93 4.99 .0013 1 0.93 4.72 .0014 1 0.93 4.64 .0015 1 0.93 4.23 .0016 1 0.93 3.72 .0017 1 0.93 3.64 .0018 1 0.93 3.14 .0019 1 0.93 2.67 .0020 1 0.93 2.96 .0021 1 0.93 2.27 .0022 1 0.93 1.65 .0023 1 0.93 1.55 .0024 1 0.93 1.31 .0025 1 0.93 1.19 .0026 1 0.93 1.07 .0027 5 0.94 1.15 .0028 5 0.94 1.11 .0029 1 0.94 1.23 .0030 1 0.94 1.05 .0031 1 0.94 1.08 .0032 1 0.94 1.10 .0033 1 0.94 1.13 .0034 1 0.94 1.13 .0035 1 0.94 1.06 .0036 2 0.94 1.16 .0037 1 0.94 1.22 .0038 1 0.94 1.09 .0039 1 0.94 1.09 .0040 1 0.94 1.14 .0041 1 0.94 1.04 .0042 1 0.94 1.12 .0043 1 0.94 1.09 .0044 1 0.94 1.16 .0045 1 0.94 1.27 .0046 1 0.94 1.71 .0047 1 0.94 2.64 .0048 1 0.94 5.09 .0049 1 0.94 5.46 .0050 1 0.94 5.73 .0051 1 0.94 5.83 .0052 1 0.94 5.14 .0053 1 0.94 4.53 .0054 1 0.94 3.67 .0055 1 0.94 2.93 .0056 1 0.94 2.63 .0057 1 0.94 2.52 .0058 1 0.94 2.45 .0059 1 0.94 1.85 .0060 1 0.94 1.49 .0061 2 0.94 1.47 .0062 2 0.94 1.20 .0063 1 0.94 1.25 .0064 1 0.94 1.62 .0065 1 0.94 2.93 .0066 1 0.94 3.94 .0067 1 0.94 4.34 .0068 1 0.94 4.23 .0069 1 0.94 3.87 .0070 1 0.94 3.55 .0071 1 0.94 3.16 .0072 1 0.94 2.53 .0073 1 0.94 2.15 .0074 1 0.94 2.08 .0075 1 0.94 2.01 .0076 1 0.94 1.77 .0077 1 0.94 1.32 .0078 1 0.94 1.34 .0079 1 0.95 1.17 .0080 1 0.95 1.04 .0081 1 0.95 1.05 .0082 1 0.95 1.03 .0083 1 0.95 1.06 .0084 1 0.95 1.03 .0085 1 0.95 1.00 .0086 1 0.95 1.03 .0087 1 0.95 1.01 .0088 1 0.95 1.05 .0089 1 0.95 1.07 .0090 1 0.95 1.03 .0091 1 0.95 0.96 .0092 1 0.95 1.03 .0093 1 0.95 1.01 .0094 1 0.95 0.99 .0095 1 0.95 1.05 .0096 1 0.95 1.12 .0097 1 0.95 1.05 .0098 1 0.95 1.07 .0099 1 0.95 1.10 .0100 1 0.95 1.26 .0101 1 0.95 1.67 .0102 1 0.95 1.75 .0103 1 0.95 1.67 .0104 1 0.95 1.78 .0105 1 0.95 1.68 .0106 1 0.95 1.48 .0107 1 0.95 1.39 .0108 1 0.95 1.26 .0109 1 0.95 1.20 .0110 1 0.95 1.18 .0111 1 0.95 1.20 .0112 1 0.95 1.18 .0113 1 0.95 1.08 .0114 1 0.95 1.05 .0115 1 0.95 1.05 .0116 1 0.95 1.06 .0117 1 0.95 0.98 .0118 1 0.95 1.08 .0119 1 0.95 1.04 .0120 3 0.95 1.04 .0121 1 0.95 1.23 .0122 1 0.95 1.00 .0123 1 0.95 1.03 .0124 1 0.95 1.02 .0125 3 0.95 1.11 .0126 3 0.95 1.07 .0127 1 0.95 1.06 .0128 1 0.95 1.03 .0129 1 0.95 1.04 .0130 1 0.95 1.09 .0131 1 0.95 1.12 .0132 1 0.95 1.09 .0133 2 0.95 1.06 .0134 2 0.95 0.97 .0135 1 0.95 1.04 .0136 1 0.95 1.04 .0137 1 0.95 1.02 .0138 2 0.95 1.11 .0139 1 0.95 1.08 .0140 1 0.95 1.09 .0141 1 0.95 1.02 .0142 1 0.95 1.07 .0143 1 0.95 1.07 .0144 1 0.95 1.39 .0145 1 0.95 1.48 .0146 1 0.95 1.47 .0147 1 0.96 1.39 .0148 1 0.96 1.40 .0149 1 0.96 1.38 .0150 1 0.96 1.28 .0151 1 0.96 1.23 .0152 1 0.96 1.15 .0153 1 0.96 1.16 .0154 1 0.96 1.08 .0155 1 0.96 1.18 .0156 1 0.96 1.07 .0157 1 0.96 1.05 .0158 3 0.96 1.08 .0159 1 0.96 1.13 .0160 1 0.96 1.05 .0161 1 0.96 1.11 .0162 1 0.96 1.11 .0163 1 0.96 1.08 .0164 1 0.96 1.19 .0165 1 0.96 1.16 .0166 1 0.96 1.27 .0167 1 0.96 1.73 .0168 1 0.96 2.71 .0169 1 0.96 4.50 .0170 1 0.96 4.42 .0171 1 0.96 4.19 .0172 1 0.96 4.36 .0173 1 0.96 3.55 .0174 1 0.96 3.31 .0175 1 0.96 2.85 .0176 1 0.96 2.29 .0177 1 0.96 1.84 .0178 1 0.96 1.89 .0179 1 0.96 1.90 .0180 1 0.96 1.72 .0181 1 0.96 1.33 .0182 1 0.96 1.27 .0183 2 0.96 1.49 .0184 3 0.96 1.05 .0185 1 0.96 1.01 .0186 1 0.96 1.05 .0187 1 0.96 1.07 .0188 1 0.96 1.07 .0189 1 0.96 1.02 .0190 1 0.96 1.08 .0191 1 0.96 1.05 .0192 2 0.96 1.06 .0193 2 0.96 1.06 .0194 1 0.96 1.06 .0195 1 0.96 1.04 .0196 1 0.96 1.02 .0197 1 0.96 1.21 .0198 2 0.96 1.20 .0199 1 0.96 1.10 .0200 2 0.96 1.22 .0201 1 0.96 1.06 .0202 1 0.96 1.03 .0203 1 0.96 1.00 .0204 1 0.96 1.04 .0205 1 0.96 1.04 .0206 1 0.96 1.06 .0207 1 0.96 1.05 .0208 1 0.96 1.06 .0209 1 0.96 1.02 .0210 1 0.96 1.01 .0211 1 0.96 1.08 .0212 1 0.96 1.03 .0213 1 0.96 1.14 .0214 3 0.96 1.09 .0215 1 0.96 1.21 .0216 3 0.96 1.04 .0217 1 0.96 1.21 .0218 1 0.96 1.65 .0219 2 0.96 2.93 .0220 1 0.96 2.87 .0221 1 0.96 2.85 .0222 1 0.96 3.06 .0223 1 0.96 2.78 .0224 3 0.96 2.67 .0225 1 0.96 2.34 .0226 1 0.96 1.91 .0227 1 0.96 1.74 .0228 1 0.96 1.57 .0229 1 0.96 1.45 .0230 1 0.96 1.54 .0231 1 0.96 1.39 .0232 1 0.96 1.28 .0233 1 0.96 1.19 .0234 1 0.96 1.05 .0235 1 0.96 1.07 .0236 1 0.96 1.06 .0237 1 0.96 1.10 .0238 1 0.96 1.11 .0239 1 0.96 1.10 .0240 1 0.96 1.26 .0241 1 0.96 1.65 .0242 1 0.96 2.79 .0243 1 0.96 4.87 .0244 1 0.97 4.71 .0245 1 0.97 4.46 .0246 1 0.97 4.68 .0247 1 0.97 3.96 .0248 1 0.97 3.39 .0249 1 0.97 3.37 .0250 1 0.97 2.59 .0251 1 0.97 2.13 .0252 1 0.97 1.90 .0253 1 0.97 1.85 .0254 1 0.97 2.11 .0255 2 0.97 1.60 .0256 1 0.97 1.32 .0257 1 0.97 1.25 .0258 1 0.97 1.12 .0259 1 0.97 1.06 .0260 1 0.97 1.06 .0261 3 0.97 1.10 .0262 3 0.97 1.03 .0263 1 0.97 1.04 .0264 1 0.97 1.10 .0265 1 0.97 1.09 .0266 1 0.97 1.06 .0267 1 0.97 0.97 .0268 1 0.97 1.07 .0269 1 0.97 1.10 .0270 1 0.97 1.01 .0271 1 0.97 1.14 .0272 1 0.97 1.06 .0273 1 0.97 1.11 .0274 1 0.97 0.99 .0275 1 0.97 1.12 .0276 1 0.97 1.12 .0277 1 0.97 1.12 .0278 3 0.97 1.25 .0279 4 0.97 1.32 .0280 1 0.97 1.21 .0281 2 0.97 1.07 .0282 1 0.97 1.07 .0283 1 0.97 1.08 .0284 1 0.97 1.11 .0285 1 0.97 1.10 .0286 1 0.97 1.22 .0287 1 0.97 1.27 .0288 1 0.97 1.33 .0289 1 0.97 1.45 .0290 1 0.97 2.02 .0291 1 0.97 3.55 .0292 1 0.97 7.94 .0293 1 0.97 11.63 .0294 1 0.97 10.41 .0295 1 0.97 9.36 .0296 1 0.97 9.85 .0297 1 0.97 8.14 .0298 1 0.97 7.55 .0299 1 0.97 6.33 .0300 2 0.97 4.69 .0301 1 0.97 3.58 .0302 1 0.97 3.72 .0303 1 0.97 2.96 .0304 1 0.97 2.94 .0305 1 0.97 2.50 .0306 1 0.97 1.77 .0307 1 0.97 1.99 .0308 1 0.97 3.36 .0309 1 0.97 7.95 .0310 1 0.97 11.13 .0311 1 0.97 10.46 .0312 1 0.97 9.63 .0313 1 0.97 9.80 .0314 1 0.97 8.46 .0315 1 0.97 7.43 .0316 2 0.97 7.01 .0317 2 0.97 5.58 .0318 2 0.97 3.87 .0319 1 0.97 3.44 .0320 1 0.97 3.16 .0321 1 0.97 3.14 .0322 1 0.97 2.43 .0323 1 0.97 1.83 .0324 1 0.97 1.53 .0325 1 0.97 1.24 .0326 1 0.97 1.12 .0327 1 0.97 1.12 .0328 1 0.97 1.08 .0329 1 0.97 1.10 .0330 1 0.97 1.10 .0331 1 0.97 1.09 .0332 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0.98 0.96 .1663 1 0.98 1.03 .1664 1 0.98 1.04 .1665 1 0.98 1.05 .1666 2 0.98 1.12 .1667 3 0.98 1.09 .1668 1 0.98 1.08 .1669 1 0.98 1.02 .1670 2 0.98 1.04 .1671 2 0.98 1.25 .1672 2 0.98 1.15 .1673 2 0.98 1.21 .1674 2 0.98 1.06 .1675 3 0.98 1.06 .1676 1 0.98 1.08 .1677 1 0.98 0.99 .1678 1 0.98 0.97 .1679 2 0.98 1.08 .1680 1 0.98 1.10 .1681 1 0.98 1.02 .1682 1 0.98 1.01 .1683 1 0.98 1.11 .1684 2 0.98 1.09 .1685 1 0.98 1.02 .1686 3 0.98 1.06 .1687 1 0.98 1.03 .1688 1 0.98 0.97 .1689 1 0.98 1.05 .1690 1 0.98 1.04 .1691 3 0.98 1.02 .1692 3 0.98 1.04 .1693 1 0.98 1.09 .1694 1 0.98 1.01 .1695 2 0.98 1.08 .1696 1 0.98 0.99 .1697 1 0.98 1.00 .1698 2 0.98 1.09 .1699 1 0.98 1.04 .1700 1 0.98 1.04 .1701 1 0.98 1.05 .1702 1 0.98 1.00 .1703 2 0.98 1.14 .1704 1 0.98 1.00 .1705 1 0.98 1.06 .1706 1 0.98 1.08 .1707 1 0.98 1.05 .1708 1 0.98 0.99 .1709 1 0.98 1.03 .1710 1 0.98 0.99 .1711 1 0.98 0.99 .1712 1 0.98 0.99 .1713 1 0.98 1.04 .1714 3 0.98 0.99 .1715 3 0.98 0.98 .1716 1 0.98 1.02 .1717 1 0.98 1.02 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0.99 1.58 .1774 1 0.99 1.47 .1775 1 0.99 1.72 .1776 1 0.99 1.64 .1777 1 0.99 1.56 .1778 1 0.99 1.55 .1779 1 0.99 1.46 .1780 1 0.99 1.44 .1781 1 0.99 1.47 .1782 1 0.99 1.31 .1783 1 0.99 1.33 .1784 1 0.99 1.30 .1785 1 0.99 1.45 .1786 1 0.99 1.44 .1787 1 0.99 1.46 .1788 1 0.99 1.44 .1789 1 0.99 1.38 .1790 1 0.99 1.32 .1791 1 0.99 1.26 .1792 1 0.99 1.27 .1793 1 0.99 1.38 .1794 1 0.99 1.24 .1795 1 0.99 1.27 .1796 1 0.99 1.36 .1797 1 0.99 1.41 .1798 1 0.99 1.51 .1799 1 0.99 1.77 .1800 1 0.99 2.14 .1801 1 0.99 4.83 .1802 1 0.99 10.13 .1803 1 0.99 10.68 .1804 1 0.99 11.29 .1805 1 0.99 15.28 .1806 1 0.99 15.00 .1807 1 0.99 12.37 .1808 1 0.99 9.90 .1809 1 0.99 9.33 .1810 1 0.99 10.26 .1811 1 0.99 8.55 .1812 1 0.99 7.90 .1813 3 0.99 7.52 .1814 1 0.99 7.81 .1815 1 0.99 7.98 .1816 1 0.99 8.10 .1817 1 0.99 7.67 .1818 1 0.99 7.58 .1819 1 0.99 7.67 .1820 2 0.99 7.20 .1821 2 0.99 5.94 .1822 1 0.99 5.45 .1823 1 0.99 4.83 .1824 1 0.99 4.21 .1825 1 0.99 3.90 .1826 1 0.99 3.80 .1827 1 0.99 3.47 .1828 1 0.99 2.96 .1829 2 0.99 2.56 .1830 2 0.99 2.27 .1831 2 0.99 2.18 .1832 1 0.99 1.56 .1833 1 0.99 1.22 .1834 1 0.99 1.13 .1835 1 0.99 1.10 .1836 2 0.99 1.15 .1837 2 0.99 1.20 .1838 1 0.99 1.05 .1839 1 0.99 1.05 .1840 1 0.99 1.19 .1841 1 0.99 1.09 .1842 1 0.99 1.08 .1843 1 0.99 1.00 .1844 1 0.99 1.05 .1845 1 0.99 1.06 .1846 2 0.99 1.01 .1847 2 0.99 1.19 .1848 2 0.99 1.17 .1849 1 0.99 1.08 .1850 1 0.99 1.06 .1851 2 0.99 1.02 .1852 1 0.99 1.04 .1853 1 0.99 1.11 .1854 1 0.99 1.01 .1855 1 0.99 1.02 .1856 1 0.98 1.08 .1857 1 0.98 1.11 .1858 1 0.98 1.03 .1859 1 0.98 1.06 .1860 1 0.98 1.04 .1861 1 0.98 1.06 .1862 1 0.98 0.98 .1863 1 0.98 1.00 .1864 1 0.98 1.09 .1865 3 0.98 1.09 .1866 3 0.98 1.05 .1867 1 0.98 1.10 .1868 3 0.98 1.02 .1869 2 0.98 1.10 .1870 1 0.98 1.03 .1871 1 0.98 1.01 .1872 1 0.98 1.11 .1873 1 0.98 1.06 .1874 1 0.98 1.01 .1875 2 0.98 0.98 .1876 1 0.98 1.06 .1877 1 0.98 1.04 .1878 1 0.98 1.08 .1879 1 0.98 0.99 .1880 1 0.98 1.04 .1881 1 0.98 1.04 .1882 1 0.98 0.98 .1883 1 0.98 1.07 .1884 1 0.98 1.01 .1885 1 0.98 0.95 .1886 1 0.98 1.02 .1887 1 0.98 1.02 .1888 1 0.98 0.99 .1889 1 0.98 1.00 .1890 1 0.98 1.01 .1891 3 0.98 1.06 .1892 2 0.98 1.03 .1893 1 0.98 1.09 .1894 1 0.98 1.04 .1895 1 0.98 1.05 .1896 1 0.98 1.06 .1897 1 0.98 1.05 .1898 1 0.98 1.01 .1899 1 0.98 1.02 .1900 1 0.98 1.01 .1901 2 0.98 1.03 .1902 2 0.98 1.05 .1903 2 0.98 1.05 .1904 1 0.98 1.04 .1905 1 0.98 0.94 .1906 1 0.98 1.01 .1907 2 0.98 1.01 .1908 1 0.98 1.03 .1909 1 0.98 1.08 .1910 3 0.98 0.95 .1911 2 0.98 1.02 .1912 1 0.98 0.98 .1913 1 0.98 1.01 .1914 1 0.98 0.98 .1915 1 0.98 0.98 .1916 1 0.98 1.03 .1917 1 0.98 1.00 .1918 1 0.98 1.01 .1919 1 0.98 0.97 .1920 1 0.98 1.07 .1921 1 0.98 1.02 .1922 2 0.98 1.07 .1923 1 0.98 1.05 .1924 1 0.98 0.99 .1925 1 0.98 0.96 .1926 1 0.98 0.97 .1927 1 0.98 0.91 .1928 1 0.98 1.03 .1929 1 0.98 1.02 .1930 1 0.98 1.04 .1931 1 0.98 0.99 .1932 1 0.98 0.98 .1933 1 0.98 1.02 .1934 2 0.98 1.09 .1935 1 0.98 1.05 .1936 2 0.98 1.07 .1937 1 0.98 1.16 .1938 1 0.98 0.98 .1939 1 0.98 1.00 .1940 1 0.98 1.03 .1941 1 0.98 0.99 .1942 1 0.98 1.11 .1943 1 0.98 0.93 .1944 1 0.98 1.01 .1945 1 0.98 0.98 .1946 1 0.98 0.93 .1947 1 0.98 1.06 .1948 1 0.98 1.03 .1949 1 0.98 1.01 .1950 1 0.98 0.98 .1951 1 0.98 1.00 .1952 1 0.98 0.97 .1953 1 0.98 1.02 .1954 1 0.98 1.05 .1955 1 0.98 1.03 .1956 2 0.98 1.16 .1957 1 0.98 0.99 .1958 3 0.98 1.00 .1959 1 0.98 0.98 .1960 1 0.98 1.05 .1961 1 0.98 0.97 .1962 2 0.98 1.16 .1963 2 0.98 1.05 .1964 1 0.98 1.16 .1965 2 0.98 1.06 .1966 1 0.98 0.99 .1967 2 0.98 1.01 .1968 2 0.98 1.06 .1969 3 0.98 1.06 .1970 3 0.98 1.13 .1971 3 0.98 1.06 .1972 3 0.98 0.99 .1973 2 0.98 1.11 .1974 1 0.98 1.10 .1975 1 0.98 1.01 .1976 1 0.98 0.99 .1977 1 0.98 1.00 .1978 1 0.98 0.97 .1979 1 0.98 0.97 .1980 1 0.98 0.97 .1981 1 0.98 1.00 .1982 1 0.98 0.93 .1983 1 0.98 0.99 .1984 1 0.98 1.00 .1985 1 0.98 0.96 .1986 1 0.98 0.98 .1987 1 0.98 0.95 .1988 2 0.98 0.98 .1989 2 0.98 1.08 .1990 1 0.98 0.99 .1991 1 0.98 0.96 .1992 1 0.98 1.01 .1993 1 0.98 0.94 .1994 1 0.98 0.99 .1995 1 0.98 0.95 .1996 1 0.98 0.96 .1997 2 0.98 1.01 .1998 1 0.98 0.95 .1999 1 0.98 0.93 .2000 1 0.98 0.93 .2001 1 0.98 0.93 .2002 1 0.98 0.98 .2003 1 0.98 0.97 .2004 1 0.98 0.94 .2005 1 0.98 0.97 .2006 1 0.98 0.99 .2007 1 0.98 0.95 .2008 1 0.98 1.00 .2009 1 0.98 1.03 .2010 1 0.98 0.95 .2011 1 0.98 0.98 .2012 3 0.98 0.97 .2013 1 0.98 1.01 .2014 2 0.98 1.07 .2015 1 0.98 0.97 .2016 1 0.98 0.99 .2017 1 0.98 0.96 .2018 1 0.98 1.01 .2019 1 0.98 0.96 .2020 1 0.98 1.03 .2021 1 0.98 1.00 .2022 1 0.98 0.96 .2023 2 0.98 1.03 .2024 2 0.98 0.99 .2025 1 0.98 0.95 .2026 2 0.98 1.13 .2027 3 0.98 1.00 .2028 1 0.98 0.98 .2029 1 0.98 0.93 .2030 1 0.98 0.99 .2031 1 0.98 0.94 .2032 1 0.98 1.01 .2033 1 0.98 0.97 .2034 3 0.98 0.99 .2035 2 0.98 1.02 .2036 1 0.98 0.99 .2037 1 0.98 1.01 .2038 1 0.98 0.94 .2039 1 0.98 0.95 .2040 1 0.98 0.97 .2041 1 0.98 0.98 .2042 1 0.98 0.96 .2043 1 0.98 0.94 .2044 1 0.98 0.94 .2045 1 0.98 1.01 .2046 1 0.98 0.98 .2047 1 0.98 0.94 EXTRACT_IMAGE: b1: masked 438 pixels SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b1: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b1: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Searching about coefficients = 3.68870 -0.10512 -0.00419 0.00016 ARCFIT_ITER: b1: Searching lags from -146 to 146 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Initial wavelength fit = 3.68881 -0.10537 -0.00431 0.00018 ARCFIT_GUESS: b1: Initial correlation = 0.762590 FITARCIMAGE_GLOBAL: b1: Best correlation = 0.762590 FITARCIMAGE_GLOBAL: b1: ASET = 3.68881 -0.10537 -0.00431 0.00018 SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Iterating flux-weighted centers TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 0 0 3.9474867 0.23472068 . 0 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 1 0 7.8856762 0.25827789 . 1 320 0.046 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 2 0 0.39065212 3.7364923 0.30863231 -0.0000000 8.5374368 1 . 2 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 3 0 2.0738707 0.27484782 . 3 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 4 0 12.173914 0.25993892 . 4 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 5 0 9.0001491 0.24497871 . 5 320 0.043 . 6 320 0.043 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 7 0 6.0179867 0.20913515 . 7 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 8 0 5.3417793 0.27633584 . 8 320 0.055 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 9 0 4.2476976 3.7223532 0.31342745 -0.0000000 8.5055492 1 . 9 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 10 0 6.1749057 0.21640994 . 10 320 0.050 . 11 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 12 0 3.8514663 0.23100211 . 12 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 13 0 8.8170627 0.22658994 . 13 320 0.052 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 14 0 10.430978 3.8735466 0.53024731 -0.0000000 8.3935806 1 . 14 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 15 0 17.642791 0.22191597 . 15 320 0.048 . 16 320 0.043 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 17 0 5.0154349 0.26674695 . 17 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 18 0 5.2121361 0.20926213 . 18 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 19 0 3.3541556 0.25531240 . 19 320 0.052 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 20 0 1.3233960 3.6305272 0.33096979 -0.0000000 7.9742933 1 . 20 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 21 0 8.2151675 0.27621977 . 21 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 22 0 3.7732114 0.23385243 . 22 320 0.049 . 23 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 24 0 11.636310 0.20170574 . 24 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 25 0 6.2217579 0.22547723 . 25 320 0.050 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 26 0 12.041997 3.7588234 0.36883848 0.40949432 10.124890 1 . 26 320 0.054 . 27 320 0.052 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 28 0 11.715292 3.9058670 0.36912192 -0.0000000 8.7343779 2 . 28 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 29 0 5.6121578 0.24600195 . 29 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 30 0 -0.64023208 0.23760867 . 30 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 31 0 6.3097227 0.26402041 . 31 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 32 0 11.701781 0.23688558 . 32 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 33 0 1.8977111 0.27846295 . 33 320 0.047 . 34 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 35 0 -3.2625342 0.27451593 . 35 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 36 0 8.8583610 0.22296732 . 36 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 37 0 6.1311195 0.20925969 . 37 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 38 0 0.59343348 0.22228536 . 38 320 0.044 . 39 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 40 0 5.0385561 0.22582395 . 40 320 0.051 . 41 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 42 0 7.0491914 0.28433730 . 42 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 43 0 6.2177038 0.23670800 . 43 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 44 0 8.0164128 0.21610765 . 44 320 0.047 . 45 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 46 0 14.098887 0.21314963 . 46 320 0.043 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 47 0 7.5377740 0.20720596 . 47 320 0.041 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 48 0 7.6559249 0.20641456 . 48 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 49 0 2.6030828 0.20829895 . 49 320 0.064 . 50 320 0.048 . 51 320 0.045 . 52 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 53 0 6.6944496 0.25965411 . 53 320 0.268 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 54 0 4.9207263 0.20440849 . 54 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 55 0 14.293205 0.23733474 . 55 320 0.049 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 56 0 2.2260007 3.7892844 0.30868913 -0.0000000 8.6348514 1 . 56 320 0.041 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 57 0 9.0310624 3.8699001 0.32759760 -0.0000000 8.8631367 1 . 57 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 58 0 4.7939497 0.22434220 . 58 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 59 0 7.4844110 0.22224782 . 59 320 0.062 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 60 0 7.4475237 0.21467425 . 60 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 61 0 0.50761596 0.22971071 . 61 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 62 0 12.279782 0.20611205 . 62 320 0.044 . 63 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 64 0 5.2293141 0.21932361 . 64 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 65 0 7.3723634 0.26771546 . 65 320 0.057 . 66 320 0.050 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 67 0 0.092744792 3.6424338 0.31262229 -0.0000000 8.2788529 1 . 67 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 68 0 7.1413710 0.21562992 . 68 320 0.057 . 69 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 70 0 5.3291215 0.26282107 . 70 320 0.047 . 71 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 72 0 14.979555 0.28515565 . 72 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 73 0 3.1863558 0.20542816 . 73 320 0.057 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 74 0 4.4705316 3.8410692 0.30082775 -0.0000000 8.5627939 1 . 74 320 0.052 . 75 320 0.054 . 76 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 77 0 14.711967 0.25817636 . 77 320 0.056 . 78 320 0.048 . 79 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 80 0 7.6444040 0.20261415 . 80 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 81 0 0.15404142 0.21051404 . 81 320 0.046 . 82 320 0.049 . 83 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 84 0 -5.1960693 0.22001699 . 84 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 85 0 10.970545 0.20268819 . 85 320 0.047 . 86 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 87 0 5.8062612 0.24228489 . 87 320 0.045 . 88 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 89 0 2.0709814 0.25278813 . 89 320 0.052 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -4.8202241 2.8517055 0.34663682 -0.0000000 8.8938231 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -25.174629 3.9030244 0.69080860 -0.0000000 8.3866735 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -11.803902 2.9141695 37.367141 0.0000000 61558.623 5 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 90 3 -9.2382639 0.28890642 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -3.5808191 2.8292063 0.50031365 -0.0000000 8.8363580 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 5 -5.9522533 2.9959696 2.4718935 -0.0000000 11.578999 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 6 5.1765297 2.9543998 1.0662404 -0.0000000 8.7852070 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 7 -10.949825 2.4977026 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -53.734231 2.8131572 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 10 -40.136820 2.8230205 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -28.641044 2.6477962 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 12 -14.470837 2.5714922 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 13 -27.132095 2.5961182 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 14 -15.883504 2.7974943 0.50429691 -0.0000000 8.8421773 1 . 90 320 0.245 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 91 0 -1.9771870 3.5594355 0.96189591 -0.0000000 7.4294266 1 . 91 320 0.064 . 92 320 0.060 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 93 0 6.9009093 0.21523420 . 93 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 94 0 5.4931696 0.25769190 . 94 320 0.054 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 95 0 4.4155979 3.7710447 0.30959379 -0.0000000 8.4943731 1 . 95 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 96 0 12.741225 0.20802910 . 96 320 0.052 . 97 320 0.048 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 98 0 6.5993964 4.6476336 0.30513975 0.37949918 9.0730171 1 . 98 320 0.044 . 99 320 0.053 . 100 320 0.051 . 101 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 102 0 1.5643365 0.24215867 . 102 320 0.049 . 103 320 0.051 . 104 320 0.053 . 105 320 0.047 . 106 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 107 0 0.76681268 0.22089793 . 107 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 108 0 1.6915833 0.26032929 . 108 320 0.048 . 109 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 110 0 2.1913324 0.21473877 . 110 320 0.060 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 111 0 6.6013007 0.24958723 . 111 320 0.050 . 112 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 113 0 4.4406620 0.25853365 . 113 320 0.046 . 114 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 115 0 1.7289251 0.22549934 . 115 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 116 0 7.3808516 0.21517305 . 116 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 117 0 10.088780 0.23290306 . 117 320 0.051 . 118 320 0.050 . 119 320 0.059 . 120 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 121 0 7.0551461 0.26941891 . 121 320 0.049 . 122 320 0.055 . 123 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 124 0 18.113707 0.29293856 . 124 320 0.048 . 125 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 126 0 7.1197862 0.28104347 . 126 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 127 0 6.3756419 0.24070554 . 127 320 0.057 . 128 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 129 0 4.4991141 0.24539551 . 129 320 0.058 . 130 320 0.064 . 131 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 132 0 7.9084700 0.20681993 . 132 320 0.203 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 133 0 6.2134622 0.20488319 . 133 320 0.059 . 134 320 0.065 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 135 0 5.7028834 0.22260231 . 135 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 136 0 0.72255150 0.26416366 . 136 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 137 0 -0.75538910 0.25023654 . 137 320 0.055 . 138 320 0.052 . 139 320 0.061 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 140 0 8.9980347 0.28464428 . 140 320 0.056 . 141 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 142 0 4.6588996 0.21266236 . 142 320 0.061 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 143 0 12.291817 0.20580804 . 143 320 0.051 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 144 0 5.4411726 6.0279146 0.86740324 1.1015393 8.7355189 1 . 144 320 0.049 . 145 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 146 0 12.361437 0.24732547 . 146 320 0.049 . 147 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 148 0 9.0327992 0.22222296 . 148 320 0.056 . 149 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 150 0 8.6568118 0.21403608 . 150 320 0.060 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 151 0 11.134778 0.22656644 . 151 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 152 0 1.4169280 0.26018807 . 152 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 153 0 13.935999 0.26535158 . 153 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 154 0 6.9701487 0.23094715 . 154 320 0.057 . 155 320 0.054 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 156 0 7.8695487 4.2833217 0.31499170 0.38541750 9.4816741 1 . 156 320 0.083 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 157 0 11.561972 0.21917603 . 157 320 0.050 . 158 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 159 0 5.9856745 0.21391682 . 159 320 0.047 . 160 320 0.059 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 161 0 4.5759003 4.2834513 0.30791863 0.36602582 9.0507184 1 . 161 320 0.050 . 162 320 0.050 . 163 320 0.061 . 164 320 0.056 . 165 320 0.051 . 166 320 0.052 . 167 320 0.053 . 168 320 0.048 . 169 320 0.052 . 170 320 0.061 . 171 320 0.052 . 172 320 0.055 . 173 320 0.053 . 174 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 175 0 6.7980045 0.23625156 . 175 320 0.055 . 176 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 177 0 5.7138725 0.23044811 . 177 320 0.061 . 178 320 0.052 . 179 320 0.058 . 180 320 0.052 . 181 320 0.061 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 182 0 10.531598 0.23091536 . 182 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 183 0 5.3243058 0.21274523 . 183 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 184 0 3.6253237 0.29982512 . 184 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 185 0 3.9310096 0.23211718 . 185 320 0.052 . 186 320 0.051 . 187 320 0.051 . 188 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 189 0 5.0821225 0.23936073 . 189 320 0.057 . 190 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 191 0 -0.41960071 0.23333548 . 191 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 192 0 0.49830445 0.21324967 . 192 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 193 0 7.0113646 0.20631924 . 193 320 0.052 . 194 320 0.062 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 195 0 10.441179 0.21541976 . 195 320 0.052 . 196 320 0.053 . 197 320 0.054 . 198 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 199 0 6.6671308 0.23143160 . 199 320 0.053 . 200 320 0.052 . 201 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 202 0 2.0365871 0.22242799 . 202 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 203 0 5.3528994 0.22329877 . 203 320 0.062 . 204 320 0.050 . 205 320 0.050 . 206 320 0.055 . 207 320 0.065 . 208 320 0.051 . 209 320 0.050 . 210 320 0.054 . 211 320 0.052 . 212 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 213 0 4.0756000 0.21526908 . 213 320 0.055 . 214 320 0.058 . 215 320 0.055 . 216 320 0.062 . 217 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 218 0 4.3837109 0.21748420 . 218 320 0.665 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 219 0 8.2902372 0.25259052 . 219 320 0.055 . 220 320 0.049 . 221 320 0.054 . 222 320 0.048 . 223 320 0.055 . 224 320 0.053 . 225 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 226 0 4.9577185 0.20469481 . 226 320 0.048 . 227 320 0.051 . 228 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 229 0 9.6622016 0.24692614 . 229 320 0.049 . 230 320 0.062 . 231 320 0.047 . 232 320 0.051 . 233 320 0.050 . 234 320 0.053 . 235 320 0.045 . 236 320 0.050 . 237 320 0.048 . 238 320 0.051 . 239 320 0.052 . 240 320 0.050 . 241 320 0.050 . 242 320 0.051 . 243 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 244 0 5.4928899 0.22437715 . 244 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 245 0 3.4577258 0.23896044 . 245 320 0.052 . 246 320 0.050 . 247 320 0.047 . 248 320 0.050 . 249 320 0.060 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 250 0 9.4511374 0.21752168 . 250 320 0.056 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -2.6432419 2.3122625 0.87968581 -0.0000000 7.1838253 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -16.224688 3.5207943 0.32527409 -0.0000000 7.7532548 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -8.9381940 3.0509165 0.48651598 0.55093604 7.2115834 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 3 7.5528655 4.6459581 0.55806847 -0.0000000 9.6640930 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -3.6349356 1.9896771 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 5 -11.122044 2.1648801 0.46359965 -0.0000000 7.1219533 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 6 1.2368532 2.0313403 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 7 -9.8116918 2.3202986 0.32533523 -0.0000000 7.1572149 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 8 -44.618746 3.9981536 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 9 -33.662306 2.5756295 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 10 -31.904894 2.6049767 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 11 -33.788075 0.25709606 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 12 -17.083354 2.4268165 13.840958 -0.0000000 42504.663 5 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 13 -25.085160 3.0046625 0.43289634 -0.0000000 6.3261439 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 14 -7.5897956 2.0860178 0.0000000 0.0000000 0.0000000 1 . 251 320 0.210 . 252 320 0.051 . 253 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 254 0 1.5803687 0.20465965 . 254 320 0.046 . 255 320 0.052 . 256 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 257 0 5.4147552 0.23380103 . 257 320 0.053 . 258 320 0.050 . 259 320 0.050 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 260 0 -1.6058200 3.3669663 0.36839909 0.44285328 6.6903517 1 . 260 320 0.065 . 261 320 0.062 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 262 0 3.2238200 0.24152809 . 262 320 0.049 . 263 320 0.044 . 264 320 0.047 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 265 0 0.38302996 3.0704132 0.33181195 -0.0000000 6.9421517 2 . 265 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 266 0 3.6823970 0.23723939 . 266 320 0.044 . 267 320 0.047 . 268 320 0.048 . 269 320 0.061 . 270 320 0.047 . 271 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 272 0 5.3662695 0.20138829 . 272 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 273 0 8.0338077 0.20798740 . 273 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 274 0 11.633711 0.21423735 . 274 320 0.049 . 275 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 276 0 6.1445219 0.23825119 . 276 320 0.048 . 277 320 0.048 . 278 320 0.049 . 279 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 280 0 6.1612890 0.20013594 . 280 320 0.050 . 281 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 282 0 10.708516 0.27254403 . 282 320 0.051 . 283 320 0.046 . 284 320 0.055 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 285 0 2.9879442 2.9502090 0.30124528 -0.0000000 7.1073521 2 . 285 320 0.047 . 286 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 287 0 5.8857402 0.21943660 . 287 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 288 0 12.390361 0.26723245 . 288 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 289 0 9.2308662 0.20799132 . 289 320 0.049 . 290 320 0.053 . 291 320 0.045 . 292 320 0.054 . 293 320 0.047 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 0 2.7016266 2.4043691 0.52152239 -0.0000000 7.4006129 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 1 11.971925 3.3318781 0.33979733 0.39562669 9.8526740 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -7.5486501 2.2184518 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 3 44.016011 0.22495276 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 4 -5.8182463 2.7639508 0.69318676 -0.0000000 5.8885661 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 5 -0.45277641 2.2877872 1.2035233 -0.0000000 6.9547792 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 6 -1.8299727 2.2237442 1.2236420 -0.0000000 6.6006992 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 7 -10.853332 2.7644452 0.52358496 -0.0000000 5.9241901 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 9 -29.979794 0.21204787 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 10 -38.737684 0.29576315 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 11 -23.563161 0.22715663 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 12 -15.577189 2.7747199 0.91108667 -0.0000000 6.0835787 5 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 13 -19.515704 3.1170714 0.31611700 -0.0000000 6.4319039 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 14 -8.0871094 3.5599667 0.74213136 0.92350886 6.4599037 1 . 294 320 0.320 . 295 320 0.046 . 296 320 0.045 . 297 320 0.055 . 298 320 0.051 . 299 320 0.062 . 300 320 0.051 . 301 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 302 0 7.9224878 0.25437864 . 302 320 0.048 . 303 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 304 0 3.8012582 0.24026032 . 304 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 305 0 4.2103222 0.24350961 . 305 320 0.044 . 306 320 0.047 . 307 320 0.048 . 308 320 0.051 . 309 320 0.048 . 310 320 0.048 . 311 320 0.049 . 312 320 0.048 . 313 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 314 0 2.3930081 0.21966867 . 314 320 0.047 . 315 320 0.048 . 316 320 0.046 . 317 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 318 0 -0.32783267 0.20170833 . 318 320 0.045 . 319 320 0.045 FITARCIMAGE_GLOBAL: b1: Line 0, at 3983.8390 Ang: ERR= 0.174946 ERR_RMS= 0.0464341 pix, 23 masked. FITARCIMAGE_GLOBAL: b1: Line 1, at 4046.5720 Ang: ERR= 0.00466455 ERR_RMS= 0.000361743 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 2, at 4077.8380 Ang: ERR= 0.0163219 ERR_RMS= 0.00190422 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 3, at 4358.3370 Ang: ERR= 0.00321738 ERR_RMS= 0.0203453 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 4, at 4678.1490 Ang: ERR= 0.0294573 ERR_RMS= 0.00371267 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 5, at 4799.9120 Ang: ERR= 0.0152222 ERR_RMS= 0.00168190 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 6, at 4916.0700 Ang: ERR= 0.0515262 ERR_RMS= 0.00955834 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 7, at 5085.8220 Ang: ERR= 0.0113986 ERR_RMS= 0.00142319 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 8, at 5460.7530 Ang: ERR= 0.00248777 ERR_RMS= 0.0111186 pix, 1 masked. FITARCIMAGE_GLOBAL: b1: Line 9, at 5769.5980 Ang: ERR= 0.00502274 ERR_RMS= 0.0116340 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 10, at 5790.6630 Ang: ERR= 0.00506698 ERR_RMS= 0.0163318 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 11, at 5852.4880 Ang: ERR= 0.00740652 ERR_RMS= 0.0186638 pix, 1 masked. FITARCIMAGE_GLOBAL: b1: Line 12, at 5881.8950 Ang: ERR= 0.00959247 ERR_RMS= 0.000874400 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 13, at 5944.8340 Ang: ERR= 0.00788240 ERR_RMS= 0.000683444 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 14, at 6029.9970 Ang: ERR= 0.0154782 ERR_RMS= 0.00167375 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b1: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 1 2 15 1 3 15 1 4 15 1 5 15 0 6 15 0 7 15 1 8 15 1 9 15 1 10 15 1 11 15 0 12 15 0 13 15 0 14 15 1 15 15 0 16 15 1 17 15 1 18 15 1 19 15 0 20 15 1 21 15 1 22 15 1 23 15 0 24 15 0 25 15 1 26 15 1 27 15 0 28 15 1 29 15 0 30 15 1 31 15 2 32 15 1 33 15 1 34 15 1 35 15 0 36 15 1 37 15 0 38 15 1 39 15 1 40 15 0 41 15 0 42 15 1 43 15 1 44 15 1 45 15 0 46 15 1 47 15 1 48 15 0 49 15 0 50 15 0 51 15 0 52 15 1 53 15 1 54 15 0 55 15 1 56 15 1 57 15 1 58 15 0 59 15 2 60 15 1 61 15 0 62 15 0 63 15 0 64 15 1 65 15 0 66 15 0 67 15 1 68 15 0 69 15 1 70 15 1 71 15 1 72 15 1 73 15 0 74 15 1 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 1 85 15 1 86 15 0 87 15 0 88 15 1 89 15 0 90 15 13 91 15 1 92 15 2 93 15 1 94 15 0 95 15 1 96 15 1 97 15 0 98 15 1 99 15 0 100 15 1 101 15 0 102 15 0 103 15 0 104 15 0 105 15 1 106 15 0 107 15 0 108 15 0 109 15 0 110 15 1 111 15 0 112 15 1 113 15 1 114 15 0 115 15 1 116 15 0 117 15 1 118 15 1 119 15 0 120 15 1 121 15 0 122 15 0 123 15 0 124 15 0 125 15 1 126 15 0 127 15 0 128 15 0 129 15 0 130 15 1 131 15 1 132 15 0 133 15 1 134 15 1 135 15 1 136 15 0 137 15 1 138 15 0 139 15 0 140 15 1 141 15 1 142 15 0 143 15 1 144 15 1 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 1 151 15 0 152 15 0 153 15 0 154 15 1 155 15 0 156 15 1 157 15 0 158 15 0 159 15 0 160 15 1 161 15 1 162 15 0 163 15 1 164 15 0 165 15 1 166 15 1 167 15 1 168 15 1 169 15 1 170 15 0 171 15 0 172 15 1 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 1 179 15 0 180 15 1 181 15 0 182 15 1 183 15 0 184 15 0 185 15 1 186 15 1 187 15 0 188 15 0 189 15 1 190 15 0 191 15 0 192 15 1 193 15 0 194 15 1 195 15 0 196 15 0 197 15 0 198 15 0 199 15 1 200 15 0 201 15 1 202 15 1 203 15 1 204 15 1 205 15 0 206 15 1 207 15 0 208 15 1 209 15 0 210 15 0 211 15 0 212 15 0 213 15 1 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 1 222 15 0 223 15 1 224 15 0 225 15 0 226 15 0 227 15 1 228 15 0 229 15 0 230 15 0 231 15 1 232 15 0 233 15 2 234 15 0 235 15 0 236 15 0 237 15 2 238 15 0 239 15 1 240 15 0 241 15 0 242 15 0 243 15 1 244 15 1 245 15 1 246 15 1 247 15 0 248 15 0 249 15 0 250 15 1 251 15 14 252 15 1 253 15 0 254 15 0 255 15 1 256 15 0 257 15 1 258 15 0 259 15 1 260 15 3 261 15 0 262 15 0 263 15 1 264 15 0 265 15 1 266 15 1 267 15 0 268 15 1 269 15 0 270 15 0 271 15 0 272 15 0 273 15 1 274 15 0 275 15 1 276 15 1 277 15 0 278 15 1 279 15 5 280 15 1 281 15 1 282 15 0 283 15 0 284 15 1 285 15 1 286 15 1 287 15 0 288 15 1 289 15 1 290 15 0 291 15 0 292 15 0 293 15 0 294 15 10 295 15 0 296 15 1 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 1 304 15 0 305 15 1 306 15 0 307 15 0 308 15 1 309 15 0 310 15 0 311 15 1 312 15 0 313 15 1 314 15 1 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 190 Pass 1 complete FITARCIMAGE_GLOBAL: b1: Number of arclines after bundle test = 15 FITARCLINES: b1: ncoeffs (x,y): 4 5 FITARCLINES: b1: errored out 2 fibers: 90 251 FITARCLINES: b1: fit rchi2: 0.12180558 FITARCLINES: b1: offset stddev: 320 2.0527825e-13 FITARCLINES: b1: scale stddev: 320 3.5024597e-13 FITARCLINES: b1: poly x,y,stddev: 0 0 7.0526409e-07 FITARCLINES: b1: poly x,y,stddev: 1 0 2.0525423e-06 FITARCLINES: b1: poly x,y,stddev: 2 0 1.5931238e-06 FITARCLINES: b1: poly x,y,stddev: 3 0 3.1986396e-06 FITARCLINES: b1: poly x,y,stddev: 0 1 4.8044724e-07 FITARCLINES: b1: poly x,y,stddev: 1 1 1.3990038e-06 FITARCLINES: b1: poly x,y,stddev: 2 1 1.0870056e-06 FITARCLINES: b1: poly x,y,stddev: 3 1 2.1819124e-06 FITARCLINES: b1: poly x,y,stddev: 0 2 4.7675746e-07 FITARCLINES: b1: poly x,y,stddev: 1 2 1.4050052e-06 FITARCLINES: b1: poly x,y,stddev: 2 2 1.1040686e-06 FITARCLINES: b1: poly x,y,stddev: 3 2 2.2145327e-06 FITARCLINES: b1: correcting per-fiber coefficients for fibers: 90 239 251 294 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: BADARC lines masked: 90 239 251 294 FITARCIMAGE_GLOBAL: b1: IVAR=0 centroids masked: 62 Final arcfit complete FITARCIMAGE_GLOBAL: b1: Time 31. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 4 1.00 2.60 .0001 5 1.00 2.80 .0002 4 1.00 2.46 .0003 4 1.00 2.93 .0004 4 1.00 2.26 .0005 6 1.00 1.55 .0006 4 1.00 2.10 .0007 6 1.00 2.20 .0008 5 1.00 2.49 .0009 5 1.00 2.23 .0010 5 1.00 2.53 .0011 4 1.00 3.17 .0012 6 1.00 2.67 .0013 4 1.00 2.38 .0014 5 1.00 1.91 .0015 5 1.00 2.16 .0016 5 1.00 2.40 .0017 5 1.00 2.04 .0018 6 1.00 1.79 .0019 6 1.00 2.12 .0020 4 1.00 2.64 .0021 4 1.00 3.05 .0022 4 1.00 2.43 .0023 6 1.00 1.87 .0024 5 1.00 1.80 .0025 4 1.00 1.86 .0026 5 1.00 1.56 .0027 5 1.00 2.08 .0028 5 1.00 1.58 .0029 4 1.00 1.85 .0030 4 1.00 1.89 .0031 6 1.00 1.65 .0032 4 1.00 2.08 .0033 6 1.00 1.49 .0034 5 1.00 1.81 .0035 5 1.00 1.56 .0036 6 1.00 1.51 .0037 5 1.00 1.86 .0038 8 1.00 1.11 .0039 7 1.00 1.32 .0040 4 1.00 1.59 .0041 4 1.00 1.73 .0042 7 1.00 1.42 .0043 5 1.00 2.04 .0044 6 1.00 1.41 .0045 6 1.00 1.44 .0046 5 1.00 1.66 .0047 6 1.00 1.64 .0048 5 1.00 1.86 .0049 6 1.00 1.79 .0050 6 1.00 1.85 .0051 4 1.00 1.88 .0052 5 1.00 1.91 .0053 4 1.00 2.05 .0054 4 1.00 2.25 .0055 7 1.00 1.35 .0056 6 1.00 0.99 .0057 6 1.00 1.26 .0058 5 1.00 1.62 .0059 7 1.00 1.33 .0060 9 1.00 1.23 .0061 5 1.00 1.67 .0062 6 1.00 1.38 .0063 5 1.00 2.12 .0064 4 1.00 2.18 .0065 4 1.00 1.90 .0066 5 1.00 2.28 .0067 4 1.00 2.59 .0068 4 1.00 2.16 .0069 4 1.00 1.96 .0070 4 1.00 1.82 .0071 6 1.00 1.98 .0072 3 1.00 2.55 .0073 5 1.00 2.45 .0074 6 1.00 1.93 .0075 6 1.00 2.03 .0076 7 1.00 1.61 .0077 6 1.00 1.78 .0078 7 1.00 1.70 .0079 5 1.00 2.10 .0080 7 1.00 1.44 .0081 7 1.00 0.92 .0082 3 1.00 1.66 .0083 4 1.00 1.71 .0084 4 1.00 1.72 .0085 4 1.00 1.42 .0086 4 1.00 1.79 .0087 5 1.00 1.55 .0088 4 1.00 1.55 .0089 4 1.00 1.67 .0090 2 1.00 0.65 .0091 3 1.00 0.83 .0092 5 1.00 2.03 .0093 4 1.00 1.79 .0094 7 1.00 1.15 .0095 4 1.00 1.22 .0096 6 1.00 1.41 .0097 4 1.00 1.50 .0098 8 1.00 1.14 .0099 7 1.00 1.36 .0100 6 1.00 1.36 .0101 6 1.00 1.50 .0102 10 1.00 1.15 .0103 4 1.00 1.81 .0104 6 1.00 1.32 .0105 6 1.00 1.73 .0106 5 1.00 1.80 .0107 5 1.00 1.56 .0108 5 1.00 1.65 .0109 8 1.00 1.63 .0110 4 1.00 1.77 .0111 6 1.00 1.50 .0112 5 1.00 1.72 .0113 7 1.00 1.67 .0114 4 1.00 2.06 .0115 3 1.00 2.37 .0116 4 1.00 2.23 .0117 4 1.00 2.39 .0118 4 1.00 2.43 .0119 6 1.00 1.81 .0120 6 1.00 1.76 .0121 5 1.00 1.91 .0122 4 1.00 2.03 .0123 5 1.00 2.11 .0124 5 1.00 2.08 .0125 4 1.00 2.10 .0126 6 1.00 1.97 .0127 4 1.00 2.31 .0128 4 1.00 2.32 .0129 5 1.00 2.41 .0130 3 1.00 2.51 .0131 4 1.00 2.51 .0132 4 1.00 2.89 .0133 5 1.00 2.10 .0134 4 1.00 1.94 .0135 6 1.00 1.76 .0136 6 1.00 2.48 .0137 7 1.00 2.10 .0138 5 1.00 1.98 .0139 5 1.00 1.98 .0140 5 1.00 2.02 .0141 4 1.00 2.24 .0142 4 1.00 2.31 .0143 5 1.00 1.85 .0144 4 1.00 1.94 .0145 6 1.00 1.50 .0146 6 1.00 1.78 .0147 4 1.00 2.80 .0148 5 1.00 1.85 .0149 10 1.00 1.42 .0150 7 1.00 1.84 .0151 6 1.00 1.67 .0152 6 1.00 1.89 .0153 6 1.00 1.84 .0154 5 1.00 1.91 .0155 6 1.00 1.39 .0156 7 1.00 1.63 .0157 4 1.00 2.66 .0158 4 1.00 2.50 .0159 5 1.00 1.99 .0160 5 1.00 1.89 .0161 7 1.00 1.40 .0162 5 1.00 1.95 .0163 6 1.00 2.76 .0164 9 1.00 1.49 .0165 5 1.00 2.06 .0166 4 1.00 2.27 .0167 7 1.00 1.73 .0168 6 1.00 1.57 .0169 4 1.00 2.19 .0170 7 1.00 1.99 .0171 3 1.00 2.62 .0172 4 1.00 2.26 .0173 4 1.00 2.34 .0174 4 1.00 2.04 .0175 3 1.00 2.66 .0176 4 1.00 2.20 .0177 4 1.00 2.23 .0178 4 1.00 2.36 .0179 4 1.00 2.18 .0180 6 1.00 1.48 .0181 5 1.00 1.44 .0182 4 1.00 1.57 .0183 6 1.00 1.77 .0184 6 1.00 1.81 .0185 4 1.00 2.01 .0186 4 1.00 2.02 .0187 4 1.00 1.72 .0188 4 1.00 1.76 .0189 5 1.00 1.53 .0190 3 1.00 1.90 .0191 5 1.00 1.57 .0192 4 1.00 1.75 .0193 4 1.00 1.75 .0194 4 1.00 1.87 .0195 4 1.00 1.89 .0196 6 1.00 1.36 .0197 7 1.00 1.46 .0198 5 1.00 1.82 .0199 5 1.00 1.72 .0200 5 1.00 2.17 .0201 5 1.00 1.83 .0202 4 1.00 2.14 .0203 4 1.00 2.03 .0204 4 1.00 2.04 .0205 4 1.00 1.99 .0206 7 1.00 1.53 .0207 8 1.00 1.78 .0208 5 1.00 1.96 .0209 4 1.00 1.99 .0210 6 1.00 2.10 .0211 3 1.00 2.08 .0212 5 1.00 2.04 .0213 3 1.00 2.04 .0214 3 1.00 2.44 .0215 4 1.00 2.12 .0216 3 1.00 2.03 .0217 4 1.00 1.95 .0218 7 1.00 1.78 .0219 6 1.00 1.75 .0220 5 1.00 1.55 .0221 5 1.00 1.50 .0222 5 1.00 1.72 .0223 4 1.00 2.08 .0224 4 1.00 2.47 .0225 5 1.00 1.74 .0226 4 1.00 1.79 .0227 5 1.00 1.94 .0228 7 1.00 1.53 .0229 6 1.00 1.54 .0230 5 1.00 1.68 .0231 5 1.00 1.69 .0232 5 1.00 1.64 .0233 5 1.00 1.48 .0234 5 1.00 1.76 .0235 5 1.00 1.85 .0236 4 1.00 1.82 .0237 5 1.00 1.70 .0238 4 1.00 1.94 .0239 7 1.00 19.32 .0240 4 1.00 2.20 .0241 4 1.00 1.94 .0242 5 1.00 1.79 .0243 7 1.00 1.61 .0244 4 1.00 1.50 .0245 6 1.00 1.41 .0246 4 1.00 1.78 .0247 6 1.00 1.40 .0248 5 1.00 1.62 .0249 4 1.00 1.86 .0250 4 1.00 1.87 .0251 1 1.00 0.63 .0252 6 1.00 1.78 .0253 6 1.00 2.07 .0254 5 1.00 2.01 .0255 5 1.00 2.20 .0256 5 1.00 1.73 .0257 3 1.00 2.04 .0258 5 1.00 2.01 .0259 6 1.00 2.22 .0260 4 1.00 1.06 .0261 4 1.00 2.18 .0262 3 1.00 2.33 .0263 4 1.00 2.29 .0264 4 1.00 2.02 .0265 5 1.00 1.91 .0266 7 1.00 1.58 .0267 4 1.00 2.21 .0268 10 1.00 1.51 .0269 4 1.00 2.57 .0270 6 1.00 2.26 .0271 4 1.00 2.04 .0272 4 1.00 2.24 .0273 4 1.00 2.60 .0274 5 1.00 2.48 .0275 5 1.00 2.13 .0276 5 1.00 2.17 .0277 6 1.00 2.03 .0278 5 1.00 1.40 .0279 5 1.00 0.84 .0280 4 1.00 3.14 .0281 3 1.00 3.11 .0282 3 1.00 3.20 .0283 3 1.00 3.55 .0284 4 1.00 3.54 .0285 4 1.00 3.22 .0286 3 1.00 3.16 .0287 4 1.00 3.26 .0288 4 1.00 3.03 .0289 5 1.00 2.91 .0290 4 1.00 3.60 .0291 5 1.00 3.17 .0292 6 1.00 3.31 .0293 6 1.00 3.22 .0294 2 1.00 2.00 .0295 4 1.00 3.20 .0296 4 1.00 3.21 .0297 4 1.00 3.48 .0298 4 1.00 3.36 .0299 4 1.00 3.73 .0300 4 1.00 3.10 .0301 4 1.00 3.24 .0302 4 1.00 3.19 .0303 4 1.00 3.08 .0304 3 1.00 3.31 .0305 4 1.00 3.14 .0306 5 1.00 2.76 .0307 3 1.00 3.12 .0308 4 1.00 3.33 .0309 7 1.00 2.80 .0310 3 1.00 3.96 .0311 3 1.00 4.15 .0312 3 1.00 3.93 .0313 3 1.00 3.70 .0314 3 1.00 3.64 .0315 4 1.00 4.09 .0316 2 1.00 4.25 .0317 4 1.00 3.78 .0318 3 1.00 3.65 .0319 6 1.00 3.23 EXTRACT_IMAGE: b1: masked 2504 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 0 FITDISPERSION: b1: Median wavelength widths = 0.89 0.91 1.00 0.99 pix (LL LR UL UR) SPCALIB: b1: Extracting arc # 2 of 2 SPCALIB: b1: Reading arc sdR-b1-00034677.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.63905 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1219.16 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1200. DN is 1 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 2.93698 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1021.50 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1005. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Fraction of bad pixels in arc = 4.36306e-05 SPCALIB: b1: Arc sdR-b1-00034677.fit paired with flat sdR-b1-00034676.fit MATCH_TRACE: b1: Iteration: 0 Pixels Rejected: 3524 Finished? 0 MATCH_TRACE: b1: Iteration: 1 Pixels Rejected: 105 Finished? 0 MATCH_TRACE: b1: Iteration: 2 Pixels Rejected: 26 Finished? 0 MATCH_TRACE: b1: Iteration: 3 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: b1: Iteration: 4 Pixels Rejected: 0 Finished? 1 SPCALIB: b1: Shifting traces with match_trace -0.00207520 SPCALIB: b1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.35 .0004 1 0.93 1.15 .0005 2 0.93 1.27 .0006 1 0.93 1.13 .0007 1 0.93 1.29 .0008 1 0.93 1.30 .0009 1 0.93 1.68 .0010 1 0.93 3.10 .0011 1 0.93 4.77 .0012 1 0.93 5.26 .0013 1 0.93 5.17 .0014 1 0.93 5.13 .0015 1 0.93 4.75 .0016 1 0.93 3.98 .0017 1 0.93 3.43 .0018 1 0.93 2.91 .0019 1 0.93 2.99 .0020 1 0.93 3.04 .0021 1 0.93 2.50 .0022 1 0.93 1.68 .0023 2 0.93 1.72 .0024 2 0.93 1.50 .0025 1 0.93 1.25 .0026 1 0.93 1.16 .0027 1 0.93 1.08 .0028 1 0.93 1.10 .0029 1 0.93 1.09 .0030 1 0.93 1.06 .0031 3 0.94 1.09 .0032 2 0.94 1.16 .0033 3 0.94 1.03 .0034 3 0.94 1.10 .0035 3 0.94 1.12 .0036 1 0.94 1.08 .0037 1 0.94 1.07 .0038 1 0.94 1.04 .0039 1 0.94 1.02 .0040 1 0.94 1.11 .0041 1 0.94 1.14 .0042 1 0.94 1.09 .0043 1 0.94 1.14 .0044 1 0.94 1.28 .0045 2 0.94 1.34 .0046 1 0.94 1.74 .0047 1 0.94 2.66 .0048 1 0.94 5.33 .0049 1 0.94 5.74 .0050 1 0.94 6.03 .0051 1 0.94 5.91 .0052 1 0.94 5.31 .0053 1 0.94 4.62 .0054 1 0.94 3.89 .0055 1 0.94 2.98 .0056 1 0.94 2.65 .0057 1 0.94 2.55 .0058 1 0.94 2.62 .0059 1 0.94 1.79 .0060 1 0.94 1.46 .0061 2 0.94 1.49 .0062 2 0.94 1.20 .0063 1 0.94 1.29 .0064 2 0.94 1.89 .0065 2 0.94 3.09 .0066 1 0.94 4.08 .0067 1 0.94 4.31 .0068 2 0.94 4.27 .0069 1 0.94 4.00 .0070 1 0.94 3.85 .0071 1 0.94 3.14 .0072 1 0.94 2.47 .0073 1 0.94 2.20 .0074 1 0.94 1.98 .0075 1 0.94 2.15 .0076 1 0.94 1.74 .0077 2 0.94 1.43 .0078 1 0.95 1.55 .0079 1 0.95 1.24 .0080 3 0.95 1.11 .0081 3 0.95 1.07 .0082 1 0.95 1.13 .0083 1 0.95 1.06 .0084 1 0.95 1.04 .0085 1 0.95 1.25 .0086 1 0.95 1.15 .0087 1 0.95 1.04 .0088 1 0.95 1.23 .0089 2 0.95 1.16 .0090 1 0.95 1.06 .0091 1 0.95 1.04 .0092 1 0.95 0.99 .0093 1 0.95 1.01 .0094 1 0.95 1.05 .0095 1 0.95 1.05 .0096 1 0.95 1.05 .0097 1 0.95 1.06 .0098 1 0.95 1.05 .0099 1 0.95 1.15 .0100 1 0.95 1.30 .0101 1 0.95 1.67 .0102 1 0.95 1.69 .0103 1 0.95 1.73 .0104 1 0.95 1.78 .0105 1 0.95 1.61 .0106 1 0.95 1.47 .0107 1 0.95 1.48 .0108 1 0.95 1.28 .0109 1 0.95 1.21 .0110 1 0.95 1.18 .0111 1 0.95 1.31 .0112 1 0.95 1.06 .0113 1 0.95 1.14 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0.98 1.90 .1777 2 0.98 1.67 .1778 1 0.98 1.47 .1779 1 0.98 1.45 .1780 2 0.98 1.48 .1781 1 0.98 1.51 .1782 1 0.98 1.42 .1783 1 0.98 1.34 .1784 1 0.98 1.39 .1785 1 0.98 1.43 .1786 1 0.98 1.45 .1787 1 0.98 1.38 .1788 1 0.98 1.39 .1789 1 0.98 1.46 .1790 1 0.98 1.28 .1791 1 0.98 1.44 .1792 2 0.98 1.37 .1793 1 0.98 1.28 .1794 1 0.98 1.28 .1795 1 0.98 1.30 .1796 4 0.98 1.44 .1797 2 0.98 1.69 .1798 1 0.98 1.52 .1799 1 0.98 1.75 .1800 1 0.98 2.28 .1801 1 0.98 4.70 .1802 1 0.98 10.40 .1803 1 0.98 11.06 .1804 1 0.98 11.16 .1805 1 0.98 15.00 .1806 1 0.98 14.24 .1807 1 0.98 14.35 .1808 1 0.98 10.16 .1809 1 0.98 9.08 .1810 1 0.98 8.39 .1811 1 0.98 9.56 .1812 1 0.98 8.00 .1813 1 0.98 7.28 .1814 1 0.98 7.46 .1815 1 0.98 8.07 .1816 1 0.98 9.29 .1817 1 0.98 8.20 .1818 1 0.98 7.82 .1819 1 0.98 7.43 .1820 1 0.99 6.79 .1821 1 0.99 6.11 .1822 1 0.99 5.52 .1823 1 0.99 4.86 .1824 1 0.99 3.88 .1825 1 0.99 3.81 .1826 1 0.99 3.87 .1827 1 0.99 3.61 .1828 1 0.99 2.93 .1829 1 0.99 2.78 .1830 1 0.99 2.53 .1831 1 0.99 2.38 .1832 1 0.99 1.66 .1833 1 0.99 1.28 .1834 1 0.99 1.20 .1835 1 0.99 1.09 .1836 1 0.99 1.08 .1837 1 0.99 1.06 .1838 1 0.99 1.13 .1839 1 0.99 1.04 .1840 1 0.99 1.08 .1841 2 0.99 1.44 .1842 3 0.99 1.32 .1843 1 0.99 1.05 .1844 1 0.99 1.00 .1845 1 0.99 1.12 .1846 1 0.99 1.07 .1847 2 0.99 1.22 .1848 1 0.99 1.02 .1849 1 0.99 1.09 .1850 1 0.99 1.04 .1851 1 0.99 1.02 .1852 1 0.99 1.04 .1853 1 0.99 1.08 .1854 1 0.99 1.00 .1855 1 0.98 1.10 .1856 1 0.98 1.02 .1857 1 0.98 1.06 .1858 1 0.98 0.95 .1859 1 0.98 1.01 .1860 1 0.98 1.08 .1861 1 0.98 0.95 .1862 1 0.98 1.02 .1863 2 0.98 1.07 .1864 1 0.98 1.13 .1865 1 0.98 1.05 .1866 2 0.98 1.06 .1867 1 0.98 1.09 .1868 1 0.98 1.02 .1869 1 0.98 1.08 .1870 1 0.98 1.15 .1871 1 0.98 0.99 .1872 1 0.98 1.05 .1873 1 0.98 1.06 .1874 1 0.98 1.09 .1875 1 0.98 1.09 .1876 1 0.98 1.13 .1877 1 0.98 1.10 .1878 1 0.98 1.04 .1879 2 0.98 1.08 .1880 1 0.98 1.04 .1881 1 0.98 1.03 .1882 1 0.98 1.07 .1883 1 0.98 1.08 .1884 1 0.98 1.03 .1885 1 0.98 1.02 .1886 2 0.98 1.03 .1887 1 0.98 1.01 .1888 1 0.98 0.92 .1889 1 0.98 1.29 .1890 1 0.98 1.28 .1891 1 0.98 1.06 .1892 1 0.98 0.95 .1893 1 0.98 1.11 .1894 1 0.98 1.01 .1895 1 0.98 1.04 .1896 1 0.98 1.12 .1897 1 0.98 1.03 .1898 1 0.98 1.02 .1899 3 0.98 1.01 .1900 1 0.98 1.02 .1901 1 0.98 1.06 .1902 1 0.98 1.01 .1903 1 0.98 1.06 .1904 1 0.98 1.05 .1905 3 0.98 1.07 .1906 3 0.98 1.03 .1907 1 0.98 0.97 .1908 1 0.98 1.03 .1909 2 0.98 1.11 .1910 1 0.98 1.03 .1911 1 0.98 1.04 .1912 1 0.98 1.00 .1913 1 0.98 1.02 .1914 1 0.98 0.96 .1915 1 0.98 0.99 .1916 1 0.98 1.01 .1917 1 0.98 1.05 .1918 2 0.98 1.01 .1919 1 0.98 1.11 .1920 1 0.98 0.98 .1921 1 0.98 1.06 .1922 1 0.98 1.01 .1923 1 0.98 0.97 .1924 1 0.98 1.02 .1925 1 0.98 0.96 .1926 1 0.98 1.03 .1927 1 0.98 1.00 .1928 1 0.98 1.01 .1929 1 0.98 1.00 .1930 1 0.98 1.01 .1931 1 0.98 1.04 .1932 1 0.98 1.01 .1933 1 0.98 0.99 .1934 1 0.98 1.03 .1935 1 0.98 1.05 .1936 1 0.98 1.04 .1937 1 0.98 1.03 .1938 1 0.98 0.94 .1939 1 0.98 1.01 .1940 3 0.98 1.22 .1941 3 0.98 1.33 .1942 2 0.98 1.33 .1943 1 0.98 1.06 .1944 1 0.98 1.02 .1945 1 0.98 1.04 .1946 1 0.98 0.99 .1947 1 0.98 1.00 .1948 1 0.98 1.02 .1949 1 0.98 1.06 .1950 2 0.98 0.99 .1951 1 0.98 1.00 .1952 1 0.98 0.96 .1953 3 0.98 1.01 .1954 1 0.98 1.05 .1955 1 0.98 0.97 .1956 1 0.98 0.99 .1957 1 0.98 0.95 .1958 1 0.98 1.06 .1959 2 0.98 1.02 .1960 2 0.98 1.19 .1961 2 0.98 1.03 .1962 1 0.98 1.05 .1963 1 0.98 1.02 .1964 1 0.98 1.05 .1965 1 0.98 0.97 .1966 1 0.98 0.99 .1967 1 0.98 1.05 .1968 1 0.98 0.99 .1969 1 0.98 0.93 .1970 1 0.98 0.96 .1971 1 0.98 0.98 .1972 1 0.98 1.01 .1973 1 0.98 1.05 .1974 1 0.98 1.00 .1975 1 0.98 1.03 .1976 1 0.98 0.98 .1977 1 0.98 1.04 .1978 1 0.98 1.00 .1979 1 0.98 0.97 .1980 1 0.98 0.99 .1981 1 0.98 0.95 .1982 1 0.98 1.07 .1983 2 0.98 1.05 .1984 1 0.98 0.97 .1985 1 0.98 1.00 .1986 1 0.98 1.02 .1987 2 0.98 1.19 .1988 3 0.98 0.97 .1989 1 0.98 0.94 .1990 1 0.98 0.98 .1991 1 0.98 1.01 .1992 1 0.98 0.98 .1993 1 0.98 1.02 .1994 1 0.98 0.97 .1995 1 0.98 1.01 .1996 1 0.98 1.01 .1997 1 0.98 0.97 .1998 1 0.98 1.02 .1999 1 0.98 0.99 .2000 1 0.98 0.97 .2001 1 0.98 1.02 .2002 1 0.98 0.98 .2003 1 0.98 0.98 .2004 1 0.98 1.01 .2005 1 0.98 0.95 .2006 1 0.98 0.99 .2007 1 0.98 1.03 .2008 1 0.98 0.97 .2009 1 0.98 1.01 .2010 1 0.98 1.02 .2011 1 0.98 1.06 .2012 1 0.98 1.14 .2013 3 0.98 1.01 .2014 1 0.98 1.15 .2015 1 0.98 1.02 .2016 1 0.98 1.06 .2017 1 0.98 0.95 .2018 2 0.98 0.99 .2019 2 0.98 1.01 .2020 2 0.98 0.93 .2021 1 0.98 0.90 .2022 1 0.98 1.00 .2023 2 0.98 1.02 .2024 1 0.98 1.00 .2025 1 0.98 0.94 .2026 1 0.98 0.97 .2027 1 0.98 1.00 .2028 1 0.98 0.95 .2029 1 0.98 0.99 .2030 1 0.98 0.98 .2031 1 0.98 0.98 .2032 2 0.98 1.11 .2033 1 0.98 1.02 .2034 1 0.98 0.98 .2035 1 0.98 0.99 .2036 1 0.98 0.92 .2037 1 0.98 0.98 .2038 1 0.98 1.00 .2039 1 0.98 0.92 .2040 1 0.98 1.02 .2041 1 0.98 1.05 .2042 3 0.98 0.95 .2043 3 0.98 1.00 .2044 1 0.98 1.05 .2045 1 0.98 0.99 .2046 1 0.98 1.00 .2047 1 0.98 0.95 EXTRACT_IMAGE: b1: masked 473 pixels SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b1: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b1: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Searching about coefficients = 3.68870 -0.10512 -0.00419 0.00016 ARCFIT_ITER: b1: Searching lags from -146 to 146 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Initial wavelength fit = 3.68881 -0.10537 -0.00431 0.00018 ARCFIT_GUESS: b1: Initial correlation = 0.762011 FITARCIMAGE_GLOBAL: b1: Best correlation = 0.762011 FITARCIMAGE_GLOBAL: b1: ASET = 3.68881 -0.10537 -0.00431 0.00018 SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Iterating flux-weighted centers TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 0 0 6.0229049 0.21934894 . 0 320 0.043 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 1 0 3.8187217 0.22182982 . 1 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 2 0 10.508154 0.21121458 . 2 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 3 0 9.8046885 0.25507390 . 3 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 4 0 7.1595120 0.21421115 . 4 320 0.061 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 5 0 -3.0910085 0.24855764 . 5 320 0.058 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 6 0 15.872191 3.7593990 0.36032755 0.40464351 10.248990 1 . 6 320 0.054 . 7 320 0.049 . 8 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 9 0 6.6139063 0.26768665 . 9 320 0.061 . 10 320 0.055 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 11 0 5.3343516 4.6330276 0.45089193 0.55996756 8.4219330 1 . 11 320 0.071 . 12 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 13 0 8.3130592 0.26133621 . 13 320 0.059 . 14 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 15 0 10.076973 0.21463626 . 15 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 16 0 2.6161663 0.22110924 . 16 320 0.059 . 17 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 18 0 8.5928057 0.23492338 . 18 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 19 0 0.057455184 0.21311465 . 19 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 20 0 -0.58182942 0.28036952 . 20 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 21 0 6.0096646 0.23271612 . 21 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 22 0 4.3383361 0.22265486 . 22 320 0.075 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 23 0 5.2123948 0.24444109 . 23 320 0.062 . 24 320 0.062 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 25 0 3.9616417 0.21116407 . 25 320 0.051 . 26 320 0.052 . 27 320 0.048 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 28 0 13.232323 4.8321548 0.39020341 0.50284414 8.7966285 1 . 28 320 0.048 . 29 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 30 0 11.313007 0.20565720 . 30 320 0.046 . 31 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 32 0 4.7531376 0.23105146 . 32 320 0.049 . 33 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 34 0 4.7526558 0.24196688 . 34 320 0.050 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 35 0 6.6948223 3.8082159 0.37391687 -0.0000000 8.3518111 1 . 35 320 0.044 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 36 0 8.2353956 3.7836095 0.42891074 -0.0000000 8.3783859 2 . 36 320 0.044 . 37 320 0.057 . 38 320 0.048 . 39 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 40 0 3.1856004 0.28187796 . 40 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 41 0 5.5101000 0.25331686 . 41 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 42 0 4.2109898 0.22619257 . 42 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 43 0 6.2853029 0.28525672 . 43 320 0.058 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 44 0 10.691480 4.3180756 0.32346885 0.38231365 8.9052738 1 . 44 320 0.045 . 45 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 46 0 5.3539493 0.27412757 . 46 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 47 0 5.6756333 0.21038540 . 47 320 0.048 . 48 320 0.051 . 49 320 0.048 . 50 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 51 0 9.1410081 0.22899859 . 51 320 0.048 . 52 320 0.049 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 53 0 6.8138023 3.5717893 0.37173694 -0.0000000 8.0511300 1 . 53 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 54 0 7.2712551 0.21745143 . 54 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 55 0 1.8267295 0.24834339 . 55 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 56 0 7.3555161 0.22275045 . 56 320 0.048 . 57 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 58 0 3.8112240 0.22174589 . 58 320 0.254 . 59 320 0.061 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 60 0 9.7108323 0.20696044 . 60 320 0.061 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 61 0 3.8582801 3.7464869 0.51646174 -0.0000000 8.0528340 2 . 61 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 62 0 7.3734723 0.21969681 . 62 320 0.055 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 63 0 8.3459314 3.7500926 0.33943572 -0.0000000 8.5699407 1 . 63 320 0.053 . 64 320 0.064 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 65 0 10.659857 4.0196148 0.35656735 0.40672755 9.1891362 1 . 65 320 0.056 . 66 320 0.054 . 67 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 68 0 12.382868 0.22608843 . 68 320 0.058 . 69 320 0.051 . 70 320 0.047 . 71 320 0.063 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 72 0 4.3968869 0.22656657 . 72 320 0.059 . 73 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 74 0 7.9944987 0.24119340 . 74 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 75 0 -0.34763203 0.27678465 . 75 320 0.064 . 76 320 0.063 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 77 0 0.61620778 0.20982066 . 77 320 0.066 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 78 0 10.950980 0.24410107 . 78 320 0.059 . 79 320 0.074 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 80 0 3.1621795 0.22746246 . 80 320 0.061 . 81 320 0.046 . 82 320 0.060 . 83 320 0.056 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 84 0 -1.4511952 3.6151042 0.33059766 -0.0000000 7.9365199 1 . 84 320 0.048 . 85 320 0.047 . 86 320 0.048 . 87 320 0.054 . 88 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 89 0 6.2394903 0.22534412 . 89 320 0.048 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -3.4866814 2.4285251 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -26.445154 4.0098882 0.44534803 -0.0000000 8.5762424 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -12.842326 2.8598265 0.55662722 -0.0000000 8.5120375 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -4.0275495 2.4074615 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 5 -12.232078 3.2546115 0.97058668 -0.0000000 6.8163446 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 6 -3.1376370 3.1115469 0.35112156 0.37677956 8.9061245 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 7 -14.153497 3.3642072 0.80725382 -0.0000000 7.0465219 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -55.559358 3.1200829 1.2483704 -0.0000000 9.7956624 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 10 -54.009084 3.6432562 0.39199796 -0.0000000 7.2688271 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -24.107429 3.0109328 0.53611517 -0.0000000 9.9601714 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 12 -19.265624 2.5135649 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 13 -25.333176 2.5664336 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 14 -14.419700 3.2919203 1.3319208 -0.0000000 6.7918079 1 . 90 320 0.088 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 91 0 -3.8081586 0.23273283 . 91 320 0.068 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 92 0 7.3128740 0.25134754 . 92 320 0.059 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 93 0 9.8886338 4.6364439 0.30113472 0.36609471 9.0153465 1 . 93 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 94 0 1.4744602 0.21658828 . 94 320 0.048 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 95 0 3.4644120 3.5497328 0.34387214 -0.0000000 7.9957763 1 . 95 320 0.047 . 96 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 97 0 4.6138036 0.20119398 . 97 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 98 0 3.7732380 0.25214109 . 98 320 0.045 . 99 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 100 0 6.2515941 0.24007146 . 100 320 0.049 . 101 320 0.051 . 102 320 0.048 . 103 320 0.064 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 104 0 5.0764523 0.23421905 . 104 320 0.056 . 105 320 0.058 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 106 0 8.5304157 3.7183025 0.30095569 -0.0000000 8.5383926 1 . 106 320 0.051 . 107 320 0.052 . 108 320 0.056 . 109 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 110 0 9.3460305 0.28439525 . 110 320 0.050 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 111 0 13.514760 4.0012643 0.37443896 0.40628998 9.6892024 1 . 111 320 0.055 . 112 320 0.053 . 113 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 114 0 10.670438 0.24124109 . 114 320 0.061 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 115 0 6.0615767 0.25138407 . 115 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 116 0 8.9037874 0.23639356 . 116 320 0.050 . 117 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 118 0 3.5031729 0.26905737 . 118 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 119 0 6.6060659 0.22925493 . 119 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 120 0 10.260776 0.21003174 . 120 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 121 0 10.278489 0.29331315 . 121 320 0.052 . 122 320 0.053 . 123 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 124 0 9.8263777 0.28610476 . 124 320 0.059 . 125 320 0.045 . 126 320 0.052 . 127 320 0.052 . 128 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 129 0 2.3387017 0.23846146 . 129 320 0.275 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 130 0 5.6829567 0.25080536 . 130 320 0.064 . 131 320 0.053 . 132 320 0.052 . 133 320 0.055 . 134 320 0.050 . 135 320 0.053 . 136 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 137 0 2.5328115 0.20021186 . 137 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 138 0 0.91746712 0.25217673 . 138 320 0.051 . 139 320 0.065 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 140 0 9.2114697 0.24268963 . 140 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 141 0 2.7763313 0.22712257 . 141 320 0.055 . 142 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 143 0 4.1256346 0.22938670 . 143 320 0.061 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 144 0 8.8093879 5.1703575 1.4372435 1.9061358 9.9023048 1 . 144 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 145 0 2.1235387 0.22629633 . 145 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 146 0 5.9580066 0.20160045 . 146 320 0.057 . 147 320 0.055 . 148 320 0.059 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 149 0 11.682629 3.8442176 0.33296554 -0.0000000 8.5692937 1 . 149 320 0.049 . 150 320 0.052 . 151 320 0.053 . 152 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 153 0 1.5119626 0.22950352 . 153 320 0.052 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 154 0 10.178142 4.8804478 0.30757983 0.38366919 9.1434868 1 . 154 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 155 0 6.1046782 0.20724555 . 155 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 156 0 16.975353 0.20337995 . 156 320 0.051 . 157 320 0.052 . 158 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 159 0 8.8462563 0.23382095 . 159 320 0.047 . 160 320 0.051 . 161 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 162 0 8.9132033 0.23089135 . 162 320 0.051 . 163 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 164 0 2.1688857 0.21841167 . 164 320 0.049 . 165 320 0.053 . 166 320 0.055 . 167 320 0.051 . 168 320 0.054 . 169 320 0.051 . 170 320 0.055 . 171 320 0.054 . 172 320 0.050 . 173 320 0.051 . 174 320 0.057 . 175 320 0.051 . 176 320 0.048 . 177 320 0.051 . 178 320 0.068 . 179 320 0.056 . 180 320 0.057 . 181 320 0.053 . 182 320 0.052 . 183 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 184 0 9.1432592 0.23856429 . 184 320 0.051 . 185 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 186 0 -7.1133963 0.21046948 . 186 320 0.052 . 187 320 0.053 . 188 320 0.053 . 189 320 0.057 . 190 320 0.062 . 191 320 0.050 . 192 320 0.055 . 193 320 0.064 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 194 0 9.7153244 0.24694358 . 194 320 0.057 . 195 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 196 0 4.4274523 0.21128868 . 196 320 0.066 . 197 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 198 0 4.8049257 0.20153548 . 198 320 0.050 . 199 320 0.053 . 200 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 201 0 8.5389980 0.24979741 . 201 320 0.053 . 202 320 0.051 . 203 320 0.052 . 204 320 0.050 . 205 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 206 0 1.8749352 0.20797433 . 206 320 0.063 . 207 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 208 0 6.5426539 0.23129770 . 208 320 1.051 . 209 320 0.061 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 210 0 5.4773771 0.25807178 . 210 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 211 0 7.4121598 0.20104251 . 211 320 0.053 . 212 320 0.061 . 213 320 0.049 . 214 320 0.049 . 215 320 0.057 . 216 320 0.049 . 217 320 0.051 . 218 320 0.053 . 219 320 0.052 . 220 320 0.049 . 221 320 0.052 . 222 320 0.055 . 223 320 0.050 . 224 320 0.062 . 225 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 226 0 5.9304306 0.21136630 . 226 320 0.050 . 227 320 0.055 . 228 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 229 0 3.3469140 0.21317573 . 229 320 0.047 . 230 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 231 0 5.2612919 0.20871057 . 231 320 0.059 . 232 320 0.048 . 233 320 0.052 . 234 320 0.052 . 235 320 0.046 . 236 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 237 0 8.2654828 0.20828548 . 237 320 0.046 . 238 320 0.051 . 239 320 0.052 . 240 320 0.050 . 241 320 0.050 . 242 320 0.051 . 243 320 0.057 . 244 320 0.055 . 245 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 246 0 10.930641 0.20538288 . 246 320 0.053 . 247 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 248 0 7.9432102 0.29463352 . 248 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 249 0 3.6855420 0.20385868 . 249 320 0.072 . 250 320 0.051 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -0.63240990 2.3384323 0.90304962 -0.0000000 7.0256619 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -6.4815340 3.5952123 0.42895254 -0.0000000 7.3496285 2 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -12.622405 2.8416762 0.42878352 -0.0000000 6.1485249 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 3 -3.6637331 4.5720678 0.37980568 -0.0000000 9.9460563 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -1.0430986 2.2810103 0.47487980 -0.0000000 6.7372020 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 5 -5.5451917 2.6954301 1.2226503 -0.0000000 5.6913851 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 6 -0.13670784 2.0081124 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 7 -3.8118641 2.1337942 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 8 -33.554102 4.1663900 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 9 -55.305905 0.23074955 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 10 -50.741011 0.29468809 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 11 -27.536483 0.29038715 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 12 -18.102131 2.6186984 2.9194890 -0.0000000 1334.3223 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 13 -28.429475 3.0486298 0.40173851 -0.0000000 6.0342829 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 14 -5.2933834 2.4877375 1.6334376 -0.0000000 7.7822859 1 . 251 320 0.127 . 252 320 0.054 . 253 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 254 0 3.2297599 0.22384811 . 254 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 255 0 15.360588 0.24729372 . 255 320 0.049 . 256 320 0.051 . 257 320 0.048 . 258 320 0.051 . 259 320 0.054 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 260 0 4.0982738 3.1069731 1.0037345 -0.0000000 6.5044071 1 . 260 320 0.051 . 261 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 262 0 4.8306110 0.26787265 . 262 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 263 0 7.3944881 0.25684032 . 263 320 0.043 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 264 0 4.8683356 3.0982091 0.31488248 -0.0000000 7.1792394 1 . 264 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 265 0 11.993603 0.28932590 . 265 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 266 0 9.9790891 0.21117982 . 266 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 267 0 9.0446423 0.22663616 . 267 320 0.048 . 268 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 269 0 6.0731951 0.21347922 . 269 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 270 0 9.3629152 0.20013601 . 270 320 0.053 . 271 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 272 0 7.5688380 0.25910057 . 272 320 0.047 . 273 320 0.043 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 274 0 9.7737621 0.20307553 . 274 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 275 0 5.8200811 0.22996551 . 275 320 0.053 . 276 320 0.053 . 277 320 0.047 . 278 320 0.045 . 279 320 0.030 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 280 0 3.0681874 0.20916381 . 280 320 0.053 . 281 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 282 0 6.9043609 0.26749676 . 282 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 283 0 0.92050236 0.23500811 . 283 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 284 0 7.6858689 0.20092378 . 284 320 0.624 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 285 0 10.262558 0.24938385 . 285 320 0.064 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 286 0 6.9963488 0.25844806 . 286 320 0.049 . 287 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 288 0 9.4687059 0.24859884 . 288 320 0.052 . 289 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 290 0 7.0575923 0.21227857 . 290 320 0.051 . 291 320 0.044 . 292 320 0.057 . 293 320 0.049 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 0 -1.0264416 3.1306375 2.6088432 3.0245525 6.2415734 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 1 2.7917581 0.22366451 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -12.869784 2.3700170 0.60782045 -0.0000000 7.5377120 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 3 39.570087 4.2628772 0.32651020 0.35644737 11.357763 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 4 -5.8568461 2.2360067 0.34967954 -0.0000000 6.6579140 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 5 3.5149370 2.1138686 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 6 -4.2854555 2.5626917 1.8250421 -0.0000000 5.2939464 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 7 0.38182661 2.8463742 1.2860871 -0.0000000 6.0618380 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 9 -31.620663 0.24241693 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 10 -33.407417 3.6622507 0.50209915 -0.0000000 7.6051210 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 11 -13.323259 2.9734964 0.83337015 -0.0000000 6.6126889 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 12 -19.069460 0.24830077 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 13 -11.429985 2.5227868 0.33316541 -0.0000000 8.1555334 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 14 -8.4609350 2.4052804 0.42204416 -0.0000000 7.5943707 1 . 294 320 0.134 . 295 320 0.048 . 296 320 0.056 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 297 0 9.3514515 3.1004951 0.32512165 -0.0000000 7.0270994 2 . 297 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 298 0 13.370665 0.29907972 . 298 320 0.049 . 299 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 300 0 11.058614 0.22628871 . 300 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 301 0 5.4604087 0.21658576 . 301 320 0.054 . 302 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 303 0 12.212849 0.25675580 . 303 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 304 0 10.475849 0.21609305 . 304 320 0.043 . 305 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 306 0 5.7839115 0.21590538 . 306 320 0.046 . 307 320 0.048 . 308 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 309 0 4.5525159 0.20992107 . 309 320 0.046 . 310 320 0.046 . 311 320 0.047 . 312 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 313 0 10.098014 0.21453778 . 313 320 0.058 . 314 320 0.047 . 315 320 0.048 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 316 0 10.174503 4.0764304 0.38391214 0.47645209 7.7962887 1 . 316 320 0.053 . 317 320 0.043 . 318 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 319 0 8.0973112 0.23553595 . 319 320 0.052 FITARCIMAGE_GLOBAL: b1: Line 0, at 3983.8390 Ang: ERR= 0.171695 ERR_RMS= 0.0467422 pix, 26 masked. FITARCIMAGE_GLOBAL: b1: Line 1, at 4046.5720 Ang: ERR= 0.00465303 ERR_RMS= 0.0123258 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 2, at 4077.8380 Ang: ERR= 0.0162963 ERR_RMS= 0.00195874 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 3, at 4358.3370 Ang: ERR= 0.00321805 ERR_RMS= 0.0109837 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 4, at 4678.1490 Ang: ERR= 0.0291144 ERR_RMS= 0.00403263 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 5, at 4799.9120 Ang: ERR= 0.0150218 ERR_RMS= 0.00164467 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 6, at 4916.0700 Ang: ERR= 0.0514680 ERR_RMS= 0.00875432 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 7, at 5085.8220 Ang: ERR= 0.0112703 ERR_RMS= 0.00141749 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 8, at 5460.7530 Ang: ERR= 0.00248759 ERR_RMS= 0.0127953 pix, 1 masked. FITARCIMAGE_GLOBAL: b1: Line 9, at 5769.5980 Ang: ERR= 0.00501043 ERR_RMS= 0.0183747 pix, 1 masked. FITARCIMAGE_GLOBAL: b1: Line 10, at 5790.6630 Ang: ERR= 0.00505334 ERR_RMS= 0.0162722 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 11, at 5852.4880 Ang: ERR= 0.00731907 ERR_RMS= 0.0159116 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 12, at 5881.8950 Ang: ERR= 0.00950357 ERR_RMS= 0.0134404 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 13, at 5944.8340 Ang: ERR= 0.00782597 ERR_RMS= 0.000681303 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 14, at 6029.9970 Ang: ERR= 0.0154001 ERR_RMS= 0.00223309 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b1: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 1 2 15 0 3 15 0 4 15 1 5 15 0 6 15 1 7 15 0 8 15 0 9 15 1 10 15 0 11 15 1 12 15 1 13 15 1 14 15 1 15 15 1 16 15 0 17 15 1 18 15 0 19 15 1 20 15 1 21 15 0 22 15 0 23 15 1 24 15 1 25 15 2 26 15 0 27 15 0 28 15 1 29 15 0 30 15 0 31 15 0 32 15 1 33 15 1 34 15 1 35 15 1 36 15 1 37 15 1 38 15 0 39 15 1 40 15 1 41 15 1 42 15 0 43 15 1 44 15 1 45 15 1 46 15 1 47 15 0 48 15 1 49 15 0 50 15 0 51 15 1 52 15 1 53 15 1 54 15 1 55 15 1 56 15 0 57 15 0 58 15 1 59 15 0 60 15 0 61 15 1 62 15 0 63 15 1 64 15 0 65 15 1 66 15 1 67 15 1 68 15 1 69 15 0 70 15 0 71 15 0 72 15 1 73 15 0 74 15 0 75 15 1 76 15 0 77 15 0 78 15 0 79 15 1 80 15 1 81 15 1 82 15 0 83 15 0 84 15 1 85 15 1 86 15 1 87 15 0 88 15 1 89 15 0 90 15 13 91 15 2 92 15 1 93 15 1 94 15 0 95 15 1 96 15 0 97 15 0 98 15 0 99 15 1 100 15 0 101 15 0 102 15 1 103 15 1 104 15 1 105 15 1 106 15 1 107 15 0 108 15 1 109 15 1 110 15 1 111 15 1 112 15 0 113 15 1 114 15 1 115 15 1 116 15 0 117 15 0 118 15 1 119 15 1 120 15 0 121 15 1 122 15 0 123 15 1 124 15 0 125 15 0 126 15 0 127 15 1 128 15 0 129 15 1 130 15 1 131 15 1 132 15 1 133 15 0 134 15 1 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 1 141 15 1 142 15 0 143 15 0 144 15 1 145 15 0 146 15 0 147 15 0 148 15 0 149 15 1 150 15 0 151 15 1 152 15 1 153 15 0 154 15 1 155 15 1 156 15 0 157 15 1 158 15 0 159 15 1 160 15 1 161 15 0 162 15 1 163 15 1 164 15 1 165 15 0 166 15 0 167 15 1 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 1 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 1 180 15 1 181 15 1 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 1 188 15 1 189 15 0 190 15 1 191 15 1 192 15 1 193 15 0 194 15 1 195 15 1 196 15 1 197 15 1 198 15 0 199 15 1 200 15 0 201 15 1 202 15 0 203 15 1 204 15 1 205 15 0 206 15 1 207 15 1 208 15 0 209 15 1 210 15 1 211 15 0 212 15 1 213 15 0 214 15 1 215 15 0 216 15 0 217 15 1 218 15 0 219 15 1 220 15 0 221 15 0 222 15 1 223 15 1 224 15 1 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 1 235 15 0 236 15 0 237 15 0 238 15 1 239 15 1 240 15 1 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 1 248 15 1 249 15 1 250 15 1 251 15 12 252 15 1 253 15 0 254 15 1 255 15 1 256 15 0 257 15 0 258 15 1 259 15 0 260 15 3 261 15 1 262 15 1 263 15 0 264 15 1 265 15 1 266 15 0 267 15 0 268 15 1 269 15 0 270 15 1 271 15 1 272 15 0 273 15 0 274 15 1 275 15 1 276 15 0 277 15 1 278 15 2 279 15 4 280 15 0 281 15 0 282 15 0 283 15 1 284 15 1 285 15 1 286 15 1 287 15 0 288 15 0 289 15 0 290 15 1 291 15 0 292 15 1 293 15 0 294 15 11 295 15 0 296 15 0 297 15 1 298 15 0 299 15 1 300 15 0 301 15 1 302 15 0 303 15 0 304 15 0 305 15 0 306 15 1 307 15 0 308 15 1 309 15 1 310 15 0 311 15 1 312 15 0 313 15 0 314 15 1 315 15 0 316 15 1 317 15 1 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 206 Pass 1 complete FITARCIMAGE_GLOBAL: b1: Number of arclines after bundle test = 15 FITARCLINES: b1: ncoeffs (x,y): 4 5 FITARCLINES: b1: errored out 1 fibers: 90 FITARCLINES: b1: fit rchi2: 0.12526576 FITARCLINES: b1: offset stddev: 320 2.0342357e-13 FITARCLINES: b1: scale stddev: 320 3.5095893e-13 FITARCLINES: b1: poly x,y,stddev: 0 0 7.0452108e-07 FITARCLINES: b1: poly x,y,stddev: 1 0 2.0512391e-06 FITARCLINES: b1: poly x,y,stddev: 2 0 1.5917584e-06 FITARCLINES: b1: poly x,y,stddev: 3 0 3.1966411e-06 FITARCLINES: b1: poly x,y,stddev: 0 1 4.7998045e-07 FITARCLINES: b1: poly x,y,stddev: 1 1 1.3981585e-06 FITARCLINES: b1: poly x,y,stddev: 2 1 1.0860871e-06 FITARCLINES: b1: poly x,y,stddev: 3 1 2.1805097e-06 FITARCLINES: b1: poly x,y,stddev: 0 2 4.7593472e-07 FITARCLINES: b1: poly x,y,stddev: 1 2 1.4024580e-06 FITARCLINES: b1: poly x,y,stddev: 2 2 1.1021425e-06 FITARCLINES: b1: poly x,y,stddev: 3 2 2.2105341e-06 FITARCLINES: b1: correcting per-fiber coefficients for fibers: 90 239 251 294 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: BADARC lines masked: 90 239 251 294 FITARCIMAGE_GLOBAL: b1: IVAR=0 centroids masked: 63 Final arcfit complete FITARCIMAGE_GLOBAL: b1: Time 32. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 4 1.00 2.59 .0001 4 1.00 3.05 .0002 6 1.00 2.32 .0003 4 1.00 2.61 .0004 5 1.00 1.90 .0005 4 1.00 2.10 .0006 4 1.00 2.13 .0007 5 1.00 2.20 .0008 4 1.00 2.60 .0009 4 1.00 2.17 .0010 5 1.00 2.60 .0011 6 1.00 3.11 .0012 4 1.00 3.03 .0013 6 1.00 2.43 .0014 5 1.00 2.03 .0015 5 1.00 2.03 .0016 7 1.00 2.23 .0017 5 1.00 2.07 .0018 6 1.00 1.66 .0019 5 1.00 1.87 .0020 4 1.00 2.72 .0021 4 1.00 3.00 .0022 5 1.00 2.40 .0023 8 1.00 1.96 .0024 5 1.00 1.82 .0025 5 1.00 1.82 .0026 5 1.00 1.80 .0027 5 1.00 1.92 .0028 5 1.00 1.39 .0029 4 1.00 1.90 .0030 5 1.00 1.70 .0031 6 1.00 1.67 .0032 3 1.00 2.20 .0033 4 1.00 1.63 .0034 5 1.00 1.66 .0035 6 1.00 1.39 .0036 4 1.00 1.86 .0037 5 1.00 1.80 .0038 7 1.00 1.15 .0039 5 1.00 1.44 .0040 5 1.00 1.59 .0041 6 1.00 1.59 .0042 7 1.00 1.72 .0043 6 1.00 1.96 .0044 7 1.00 1.28 .0045 7 1.00 1.31 .0046 6 1.00 1.49 .0047 6 1.00 1.71 .0048 5 1.00 2.17 .0049 5 1.00 1.72 .0050 7 1.00 1.70 .0051 4 1.00 1.90 .0052 5 1.00 1.72 .0053 4 1.00 2.19 .0054 11 1.00 1.40 .0055 7 1.00 1.33 .0056 6 1.00 1.26 .0057 6 1.00 1.39 .0058 6 1.00 1.66 .0059 6 1.00 1.80 .0060 4 1.00 2.18 .0061 5 1.00 1.75 .0062 7 1.00 1.47 .0063 5 1.00 2.10 .0064 5 1.00 2.03 .0065 4 1.00 1.87 .0066 5 1.00 2.30 .0067 6 1.00 1.80 .0068 5 1.00 2.14 .0069 6 1.00 1.95 .0070 4 1.00 2.03 .0071 3 1.00 2.61 .0072 5 1.00 2.29 .0073 6 1.00 2.36 .0074 4 1.00 1.98 .0075 6 1.00 2.25 .0076 6 1.00 1.93 .0077 7 1.00 1.91 .0078 5 1.00 1.73 .0079 5 1.00 1.98 .0080 8 1.00 1.20 .0081 6 1.00 1.03 .0082 5 1.00 1.50 .0083 4 1.00 1.76 .0084 6 1.00 1.43 .0085 4 1.00 1.40 .0086 3 1.00 2.09 .0087 4 1.00 1.85 .0088 6 1.00 1.61 .0089 4 1.00 1.64 .0090 1 1.00 0.72 .0091 3 1.00 0.89 .0092 6 1.00 1.97 .0093 4 1.00 1.84 .0094 5 1.00 1.31 .0095 5 1.00 1.34 .0096 4 1.00 1.61 .0097 7 1.00 1.32 .0098 4 1.00 1.51 .0099 6 1.00 1.74 .0100 6 1.00 1.28 .0101 7 1.00 1.47 .0102 4 1.00 1.95 .0103 5 1.00 1.85 .0104 8 1.00 1.42 .0105 6 1.00 1.46 .0106 6 1.00 1.72 .0107 5 1.00 1.55 .0108 5 1.00 1.68 .0109 7 1.00 1.76 .0110 4 1.00 1.78 .0111 7 1.00 1.37 .0112 7 1.00 1.80 .0113 6 1.00 1.67 .0114 6 1.00 2.00 .0115 5 1.00 2.14 .0116 4 1.00 2.26 .0117 4 1.00 2.31 .0118 4 1.00 2.69 .0119 5 1.00 1.97 .0120 6 1.00 1.82 .0121 6 1.00 2.03 .0122 6 1.00 1.75 .0123 4 1.00 2.07 .0124 7 1.00 1.77 .0125 5 1.00 2.13 .0126 5 1.00 2.20 .0127 4 1.00 2.22 .0128 8 1.00 1.87 .0129 3 1.00 2.72 .0130 4 1.00 2.50 .0131 3 1.00 2.84 .0132 5 1.00 2.62 .0133 5 1.00 2.24 .0134 5 1.00 2.09 .0135 10 1.00 1.32 .0136 5 1.00 2.53 .0137 4 1.00 2.51 .0138 4 1.00 2.48 .0139 5 1.00 2.39 .0140 5 1.00 2.10 .0141 4 1.00 2.11 .0142 5 1.00 2.14 .0143 4 1.00 2.17 .0144 6 1.00 1.75 .0145 4 1.00 1.88 .0146 6 1.00 1.74 .0147 4 1.00 2.72 .0148 3 1.00 2.38 .0149 7 1.00 1.58 .0150 6 1.00 2.07 .0151 8 1.00 1.78 .0152 7 1.00 1.73 .0153 4 1.00 2.20 .0154 8 1.00 1.71 .0155 5 1.00 2.19 .0156 6 1.00 2.12 .0157 7 1.00 2.13 .0158 5 1.00 2.05 .0159 5 1.00 2.01 .0160 8 1.00 1.69 .0161 7 1.00 1.60 .0162 6 1.00 1.87 .0163 4 1.00 2.39 .0164 7 1.00 1.79 .0165 6 1.00 1.83 .0166 4 1.00 2.38 .0167 4 1.00 2.23 .0168 6 1.00 1.55 .0169 5 1.00 2.09 .0170 6 1.00 2.09 .0171 5 1.00 2.17 .0172 4 1.00 2.27 .0173 5 1.00 2.32 .0174 5 1.00 2.17 .0175 4 1.00 2.11 .0176 6 1.00 2.03 .0177 3 1.00 2.58 .0178 4 1.00 2.31 .0179 4 1.00 2.03 .0180 4 1.00 1.75 .0181 6 1.00 1.63 .0182 5 1.00 1.64 .0183 6 1.00 1.79 .0184 5 1.00 1.51 .0185 6 1.00 1.76 .0186 5 1.00 1.83 .0187 4 1.00 1.62 .0188 4 1.00 1.95 .0189 5 1.00 1.50 .0190 5 1.00 1.60 .0191 3 1.00 1.83 .0192 6 1.00 1.54 .0193 4 1.00 1.78 .0194 4 1.00 1.65 .0195 5 1.00 1.50 .0196 4 1.00 1.73 .0197 8 1.00 1.42 .0198 7 1.00 1.42 .0199 4 1.00 1.45 .0200 5 1.00 2.22 .0201 4 1.00 1.90 .0202 6 1.00 1.84 .0203 4 1.00 2.16 .0204 4 1.00 2.01 .0205 5 1.00 2.30 .0206 4 1.00 1.73 .0207 5 1.00 2.26 .0208 7 1.00 1.93 .0209 4 1.00 2.02 .0210 7 1.00 1.81 .0211 5 1.00 1.95 .0212 5 1.00 1.76 .0213 3 1.00 2.07 .0214 6 1.00 1.96 .0215 4 1.00 2.12 .0216 5 1.00 2.01 .0217 5 1.00 1.71 .0218 8 1.00 1.98 .0219 7 1.00 2.05 .0220 5 1.00 1.77 .0221 4 1.00 1.92 .0222 4 1.00 2.02 .0223 4 1.00 2.11 .0224 4 1.00 2.33 .0225 4 1.00 1.98 .0226 6 1.00 1.84 .0227 5 1.00 2.09 .0228 7 1.00 1.52 .0229 5 1.00 1.83 .0230 5 1.00 2.01 .0231 5 1.00 1.42 .0232 4 1.00 1.80 .0233 5 1.00 1.71 .0234 5 1.00 1.74 .0235 9 1.00 1.27 .0236 6 1.00 1.46 .0237 7 1.00 1.36 .0238 4 1.00 1.99 .0239 7 1.00 19.43 .0240 4 1.00 2.17 .0241 4 1.00 1.98 .0242 4 1.00 1.87 .0243 5 1.00 1.63 .0244 5 1.00 1.53 .0245 5 1.00 1.55 .0246 5 1.00 1.65 .0247 9 1.00 1.55 .0248 5 1.00 1.74 .0249 5 1.00 1.82 .0250 5 1.00 1.63 .0251 1 1.00 0.61 .0252 7 1.00 1.53 .0253 7 1.00 2.02 .0254 7 1.00 1.58 .0255 6 1.00 1.97 .0256 5 1.00 1.79 .0257 3 1.00 2.13 .0258 4 1.00 2.08 .0259 4 1.00 2.37 .0260 4 1.00 1.15 .0261 3 1.00 2.21 .0262 3 1.00 2.32 .0263 7 1.00 1.77 .0264 7 1.00 1.71 .0265 4 1.00 2.15 .0266 4 1.00 1.77 .0267 4 1.00 2.25 .0268 5 1.00 1.96 .0269 7 1.00 1.88 .0270 4 1.00 2.44 .0271 4 1.00 2.16 .0272 4 1.00 2.37 .0273 6 1.00 2.09 .0274 4 1.00 2.70 .0275 4 1.00 2.23 .0276 4 1.00 2.40 .0277 6 1.00 2.21 .0278 5 1.00 1.46 .0279 5 1.00 0.70 .0280 4 1.00 3.12 .0281 5 1.00 2.96 .0282 3 1.00 3.16 .0283 3 1.00 3.51 .0284 4 1.00 3.19 .0285 3 1.00 3.04 .0286 3 1.00 3.26 .0287 3 1.00 3.06 .0288 4 1.00 3.11 .0289 4 1.00 3.31 .0290 4 1.00 3.32 .0291 6 1.00 3.02 .0292 5 1.00 3.39 .0293 4 1.00 3.09 .0294 2 1.00 1.86 .0295 5 1.00 2.98 .0296 4 1.00 3.37 .0297 3 1.00 3.77 .0298 6 1.00 3.32 .0299 4 1.00 3.21 .0300 4 1.00 3.16 .0301 4 1.00 3.28 .0302 4 1.00 3.27 .0303 4 1.00 3.20 .0304 3 1.00 3.63 .0305 4 1.00 3.05 .0306 3 1.00 3.58 .0307 3 1.00 3.07 .0308 4 1.00 3.72 .0309 3 1.00 3.76 .0310 3 1.00 3.80 .0311 3 1.00 4.13 .0312 3 1.00 4.03 .0313 4 1.00 3.45 .0314 3 1.00 3.66 .0315 3 1.00 4.11 .0316 5 1.00 3.83 .0317 3 1.00 4.00 .0318 3 1.00 4.06 .0319 4 1.00 3.22 EXTRACT_IMAGE: b1: masked 2539 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 0 FITDISPERSION: b1: Median wavelength widths = 0.89 0.91 1.00 0.99 pix (LL LR UL UR) SPCALIB: b1: Create fiberflats for flat # 1 of 2 SPCALIB: b1: Flat sdR-b1-00034673.fit paired with arc sdR-b1-00034674.fit SPCALIB: b1: Reading flat sdR-b1-00034673.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.84311 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1217.88 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1199. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.06675 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1022.78 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1007. DN is 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.30 .0004 1 0.93 1.32 .0005 2 0.93 1.33 .0006 1 0.93 1.26 .0007 1 0.93 1.21 .0008 1 0.93 1.28 .0009 1 0.93 1.26 .0010 1 0.93 1.24 .0011 1 0.93 1.47 .0012 1 0.93 1.34 .0013 1 0.93 1.40 .0014 1 0.93 1.32 .0015 3 0.93 1.38 .0016 3 0.93 1.35 .0017 4 0.93 1.62 .0018 1 0.93 1.53 .0019 1 0.93 1.44 .0020 1 0.93 1.37 .0021 1 0.93 1.50 .0022 1 0.93 1.45 .0023 1 0.93 1.56 .0024 1 0.93 1.33 .0025 1 0.93 1.45 .0026 1 0.93 1.48 .0027 1 0.94 1.51 .0028 1 0.94 1.55 .0029 1 0.94 1.55 .0030 3 0.94 1.57 .0031 1 0.94 1.56 .0032 1 0.94 1.60 .0033 2 0.94 1.74 .0034 1 0.94 1.57 .0035 2 0.94 1.60 .0036 1 0.94 1.64 .0037 1 0.94 1.67 .0038 1 0.94 1.78 .0039 1 0.94 1.64 .0040 1 0.94 1.68 .0041 1 0.94 1.77 .0042 1 0.94 1.81 .0043 1 0.94 1.82 .0044 1 0.94 1.84 .0045 1 0.94 1.83 .0046 1 0.94 1.86 .0047 1 0.94 1.89 .0048 1 0.94 1.89 .0049 1 0.94 1.85 .0050 1 0.94 1.86 .0051 2 0.94 1.87 .0052 1 0.94 1.96 .0053 1 0.94 2.02 .0054 1 0.94 1.91 .0055 1 0.94 2.07 .0056 1 0.94 1.96 .0057 1 0.94 2.00 .0058 1 0.94 1.97 .0059 1 0.94 1.99 .0060 1 0.94 2.02 .0061 1 0.94 2.12 .0062 1 0.94 1.97 .0063 1 0.94 2.01 .0064 1 0.94 2.08 .0065 1 0.94 1.91 .0066 1 0.94 2.07 .0067 1 0.94 2.08 .0068 1 0.94 1.94 .0069 1 0.94 2.04 .0070 1 0.94 2.07 .0071 1 0.94 1.90 .0072 1 0.94 2.10 .0073 1 0.94 2.19 .0074 1 0.94 2.00 .0075 1 0.94 1.92 .0076 1 0.94 1.98 .0077 1 0.94 2.00 .0078 1 0.94 2.07 .0079 1 0.95 1.97 .0080 1 0.95 2.03 .0081 1 0.95 2.04 .0082 1 0.95 2.23 .0083 1 0.95 2.04 .0084 1 0.95 2.06 .0085 1 0.95 2.04 .0086 2 0.95 2.02 .0087 1 0.95 2.07 .0088 1 0.95 2.17 .0089 1 0.95 2.20 .0090 2 0.95 2.18 .0091 1 0.95 2.16 .0092 1 0.95 2.07 .0093 1 0.95 2.04 .0094 1 0.95 2.09 .0095 1 0.95 2.34 .0096 2 0.95 2.06 .0097 1 0.95 2.34 .0098 3 0.95 2.22 .0099 1 0.95 2.03 .0100 1 0.95 2.11 .0101 1 0.95 2.08 .0102 1 0.95 2.16 .0103 1 0.95 2.13 .0104 1 0.95 2.14 .0105 1 0.95 1.92 .0106 1 0.95 2.06 .0107 1 0.95 2.07 .0108 1 0.95 2.17 .0109 1 0.95 2.08 .0110 1 0.95 2.22 .0111 2 0.95 1.95 .0112 1 0.95 2.30 .0113 1 0.95 2.13 .0114 1 0.95 2.20 .0115 1 0.95 2.06 .0116 1 0.95 2.22 .0117 1 0.95 2.01 .0118 1 0.95 2.06 .0119 1 0.95 2.02 .0120 1 0.95 2.09 .0121 1 0.95 2.00 .0122 1 0.95 2.09 .0123 1 0.95 2.09 .0124 1 0.95 2.04 .0125 1 0.95 2.19 .0126 1 0.95 2.05 .0127 1 0.95 2.13 .0128 1 0.95 2.21 .0129 1 0.95 2.08 .0130 1 0.95 1.97 .0131 2 0.95 2.37 .0132 1 0.95 2.21 .0133 1 0.95 2.10 .0134 1 0.95 2.15 .0135 1 0.95 2.04 .0136 1 0.95 2.12 .0137 1 0.95 2.10 .0138 1 0.95 2.07 .0139 1 0.95 2.07 .0140 1 0.95 2.02 .0141 1 0.95 2.05 .0142 2 0.95 2.01 .0143 2 0.95 2.19 .0144 1 0.95 2.09 .0145 2 0.95 2.25 .0146 1 0.95 2.00 .0147 1 0.96 2.09 .0148 1 0.96 2.23 .0149 2 0.96 2.22 .0150 1 0.96 2.11 .0151 1 0.96 2.11 .0152 1 0.96 2.06 .0153 1 0.96 2.11 .0154 1 0.96 2.07 .0155 1 0.96 2.11 .0156 1 0.96 2.13 .0157 1 0.96 2.08 .0158 2 0.96 2.14 .0159 1 0.96 2.23 .0160 1 0.96 2.09 .0161 1 0.96 2.12 .0162 1 0.96 2.34 .0163 3 0.96 2.11 .0164 1 0.96 2.27 .0165 1 0.96 2.18 .0166 1 0.96 2.03 .0167 1 0.96 2.31 .0168 1 0.96 2.06 .0169 1 0.96 2.09 .0170 1 0.96 2.21 .0171 1 0.96 2.17 .0172 2 0.96 2.18 .0173 2 0.96 2.23 .0174 1 0.96 2.22 .0175 1 0.96 2.21 .0176 1 0.96 2.08 .0177 1 0.96 2.13 .0178 1 0.96 2.16 .0179 1 0.96 2.25 .0180 1 0.96 2.09 .0181 1 0.96 2.14 .0182 1 0.96 2.13 .0183 1 0.96 2.08 .0184 1 0.96 2.04 .0185 1 0.96 2.17 .0186 1 0.96 2.18 .0187 1 0.96 2.17 .0188 1 0.96 2.05 .0189 2 0.96 2.22 .0190 1 0.96 2.22 .0191 1 0.96 2.11 .0192 1 0.96 2.20 .0193 1 0.96 2.19 .0194 1 0.96 2.10 .0195 1 0.96 2.12 .0196 1 0.96 2.22 .0197 2 0.96 2.21 .0198 1 0.96 2.19 .0199 1 0.96 2.23 .0200 1 0.96 2.19 .0201 1 0.96 2.19 .0202 1 0.96 2.19 .0203 1 0.96 2.16 .0204 1 0.96 2.20 .0205 1 0.96 2.15 .0206 1 0.96 2.29 .0207 1 0.96 2.21 .0208 1 0.96 2.19 .0209 1 0.96 2.40 .0210 1 0.96 2.25 .0211 1 0.96 2.23 .0212 2 0.96 2.24 .0213 1 0.96 2.18 .0214 1 0.96 2.42 .0215 2 0.96 2.44 .0216 1 0.96 2.23 .0217 1 0.96 2.31 .0218 1 0.96 2.27 .0219 1 0.96 2.32 .0220 1 0.96 2.43 .0221 1 0.96 2.33 .0222 1 0.96 2.40 .0223 1 0.96 2.43 .0224 1 0.96 2.42 .0225 3 0.96 2.49 .0226 2 0.96 2.67 .0227 1 0.96 2.42 .0228 1 0.96 2.46 .0229 1 0.96 2.54 .0230 1 0.96 2.74 .0231 1 0.96 2.52 .0232 1 0.96 2.48 .0233 1 0.96 2.54 .0234 1 0.96 2.59 .0235 1 0.96 2.60 .0236 1 0.96 2.62 .0237 2 0.96 2.46 .0238 1 0.96 2.57 .0239 1 0.96 2.80 .0240 1 0.96 2.63 .0241 1 0.96 2.70 .0242 1 0.96 2.73 .0243 1 0.96 2.80 .0244 1 0.97 2.69 .0245 1 0.97 2.76 .0246 1 0.97 2.90 .0247 1 0.97 2.89 .0248 1 0.97 2.95 .0249 1 0.97 2.90 .0250 1 0.97 3.00 .0251 1 0.97 3.01 .0252 1 0.97 2.91 .0253 1 0.97 3.14 .0254 1 0.97 2.79 .0255 1 0.97 2.95 .0256 1 0.97 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1 0.98 2.50 .2029 1 0.98 2.48 .2030 1 0.98 2.49 .2031 1 0.98 2.47 .2032 1 0.98 2.47 .2033 2 0.98 2.53 .2034 1 0.98 2.95 .2035 1 0.98 2.56 .2036 1 0.98 2.37 .2037 1 0.98 2.45 .2038 3 0.98 2.49 .2039 1 0.98 2.59 .2040 1 0.98 2.57 .2041 1 0.98 2.64 .2042 1 0.98 2.49 .2043 1 0.98 2.38 .2044 1 0.98 2.39 .2045 1 0.98 2.45 .2046 1 0.98 2.42 .2047 1 0.98 2.50 EXTRACT_IMAGE: b1: masked 114 pixels DOSCATTER: b1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b1: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b1: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 64 0.03 0.13 Step 10 of 2080 0.61 64 0.03 0.12 Step 14 of 2080 0.61 64 0.02 0.11 Step 18 of 2080 0.61 64 0.03 0.13 Step 22 of 2080 0.61 64 0.03 0.12 Step 26 of 2080 0.61 64 0.03 0.11 Step 30 of 2080 0.61 64 0.03 0.12 Step 34 of 2080 0.61 64 0.03 0.11 Step 38 of 2080 0.61 64 0.03 0.12 Step 42 of 2080 0.61 64 0.03 0.13 Step 46 of 2080 0.61 64 0.03 0.12 Step 50 of 2080 0.61 64 0.03 0.11 Step 54 of 2080 0.61 64 0.03 0.11 Step 58 of 2080 0.61 64 0.03 0.11 Step 62 of 2080 0.61 64 0.03 0.12 Step 66 of 2080 0.61 64 0.03 0.14 Step 70 of 2080 0.61 64 0.03 0.11 Step 74 of 2080 0.61 64 0.03 0.12 Step 78 of 2080 0.61 64 0.03 0.11 Step 82 of 2080 0.61 64 0.03 0.12 Step 86 of 2080 0.61 64 0.03 0.13 Step 90 of 2080 0.60 64 0.03 0.12 Step 94 of 2080 0.60 64 0.03 0.12 Step 98 of 2080 0.60 64 0.03 0.12 Step 102 of 2080 0.60 64 0.03 0.11 Step 106 of 2080 0.60 64 0.03 0.13 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.04 0.13 Step 118 of 2080 0.60 64 0.04 0.12 Step 122 of 2080 0.60 64 0.04 0.13 Step 126 of 2080 0.60 64 0.05 0.12 Step 130 of 2080 0.60 64 0.04 0.15 Step 134 of 2080 0.60 64 0.04 0.13 Step 138 of 2080 0.60 64 0.03 0.13 Step 142 of 2080 0.60 64 0.04 0.13 Step 146 of 2080 0.60 64 0.04 0.13 Step 150 of 2080 0.60 64 0.03 0.12 Step 154 of 2080 0.60 64 0.04 0.12 Step 158 of 2080 0.60 64 0.03 0.13 Step 162 of 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64 0.03 0.14 Step 1630 of 2080 0.42 64 0.03 0.14 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.03 0.17 Step 1642 of 2080 0.42 64 0.03 0.13 Step 1646 of 2080 0.42 64 0.04 0.14 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.11 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.11 Step 1670 of 2080 0.42 64 0.03 0.11 Step 1674 of 2080 0.42 64 0.03 0.12 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.11 Step 1686 of 2080 0.42 64 0.03 0.11 Step 1690 of 2080 0.42 64 0.03 0.11 Step 1694 of 2080 0.42 64 0.03 0.11 Step 1698 of 2080 0.42 64 0.03 0.11 Step 1702 of 2080 0.42 64 0.03 0.11 Step 1706 of 2080 0.42 64 0.03 0.12 Step 1710 of 2080 0.42 64 0.03 0.13 Step 1714 of 2080 0.41 64 0.02 0.12 Step 1718 of 2080 0.41 64 0.02 0.12 Step 1722 of 2080 0.41 64 0.02 0.12 Step 1726 of 2080 0.41 64 0.02 0.12 Step 1730 of 2080 0.41 64 0.02 0.13 Step 1734 of 2080 0.41 64 0.02 0.12 Step 1738 of 2080 0.41 64 0.02 0.13 Step 1742 of 2080 0.41 64 0.02 0.12 Step 1746 of 2080 0.41 64 0.02 0.13 Step 1750 of 2080 0.41 64 0.02 0.11 Step 1754 of 2080 0.41 64 0.02 0.12 Step 1758 of 2080 0.41 64 0.02 0.12 Step 1762 of 2080 0.41 64 0.02 0.12 Step 1766 of 2080 0.41 64 0.02 0.11 Step 1770 of 2080 0.41 64 0.02 0.11 Step 1774 of 2080 0.41 64 0.02 0.13 Step 1778 of 2080 0.41 64 0.03 0.13 Step 1782 of 2080 0.41 64 0.03 0.14 Step 1786 of 2080 0.41 64 0.03 0.13 Step 1790 of 2080 0.41 64 0.03 0.13 Step 1794 of 2080 0.41 64 0.03 0.13 Step 1798 of 2080 0.41 64 0.03 0.13 Step 1802 of 2080 0.41 64 0.02 0.13 Step 1806 of 2080 0.41 64 0.02 0.13 Step 1810 of 2080 0.40 64 0.02 0.12 Step 1814 of 2080 0.40 64 0.04 0.15 Step 1818 of 2080 0.40 64 0.03 0.13 Step 1822 of 2080 0.40 64 0.02 0.12 Step 1826 of 2080 0.40 64 0.02 0.12 Step 1830 of 2080 0.40 64 0.03 0.13 Step 1834 of 2080 0.40 64 0.02 0.11 Step 1838 of 2080 0.40 64 0.02 0.12 Step 1842 of 2080 0.40 64 0.02 0.11 Step 1846 of 2080 0.40 64 0.02 0.11 Step 1850 of 2080 0.40 64 0.02 0.12 Step 1854 of 2080 0.40 64 0.02 0.12 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.02 0.11 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.13 Step 1874 of 2080 0.40 64 0.03 0.14 Step 1878 of 2080 0.40 64 0.03 0.13 Step 1882 of 2080 0.40 64 0.03 0.15 Step 1886 of 2080 0.40 64 0.03 0.13 Step 1890 of 2080 0.40 64 0.03 0.13 Step 1894 of 2080 0.40 64 0.02 0.11 Step 1898 of 2080 0.40 64 0.03 0.11 Step 1902 of 2080 0.40 64 0.02 0.12 Step 1906 of 2080 0.39 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.02 0.12 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.11 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.11 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.02 0.12 Step 1942 of 2080 0.39 64 0.02 0.11 Step 1946 of 2080 0.39 64 0.02 0.11 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.11 Step 1958 of 2080 0.39 64 0.02 0.11 Step 1962 of 2080 0.39 64 0.02 0.10 Step 1966 of 2080 0.39 64 0.02 0.11 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.03 0.13 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.11 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.02 0.12 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.38 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.03 0.12 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.04 0.14 Step 2034 of 2080 0.38 64 0.02 0.11 Step 2038 of 2080 0.38 64 0.03 0.13 Step 2042 of 2080 0.38 64 0.03 0.13 Step 2046 of 2080 0.38 32 0.01 0.06 Step 2050 of 2080 0.38 32 0.01 0.06 Step 2054 of 2080 0.38 32 0.01 0.06 Step 2058 of 2080 0.38 32 0.02 0.07 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.01 0.06 Step 2074 of 2080 0.38 32 0.02 0.07 Step 2078 of 2080 0.38 32 0.02 0.06 ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.24 .0004 1 0.93 1.23 .0005 2 0.93 1.24 .0006 1 0.93 1.18 .0007 1 0.93 1.13 .0008 1 0.93 1.19 .0009 1 0.93 1.15 .0010 1 0.93 1.14 .0011 1 0.93 1.37 .0012 1 0.93 1.24 .0013 1 0.93 1.26 .0014 1 0.93 1.19 .0015 3 0.93 1.29 .0016 3 0.93 1.27 .0017 4 0.93 1.52 .0018 1 0.93 1.40 .0019 1 0.93 1.28 .0020 1 0.93 1.27 .0021 1 0.93 1.35 .0022 1 0.93 1.29 .0023 1 0.93 1.41 .0024 1 0.93 1.23 .0025 1 0.93 1.33 .0026 1 0.93 1.32 .0027 1 0.94 1.33 .0028 1 0.94 1.43 .0029 1 0.94 1.38 .0030 3 0.94 1.43 .0031 1 0.94 1.44 .0032 1 0.94 1.48 .0033 2 0.94 1.57 .0034 1 0.94 1.47 .0035 2 0.94 1.49 .0036 1 0.94 1.49 .0037 1 0.94 1.51 .0038 1 0.94 1.62 .0039 1 0.94 1.50 .0040 1 0.94 1.52 .0041 1 0.94 1.65 .0042 1 0.94 1.63 .0043 1 0.94 1.60 .0044 1 0.94 1.65 .0045 1 0.94 1.63 .0046 1 0.94 1.69 .0047 1 0.94 1.69 .0048 1 0.94 1.71 .0049 1 0.94 1.66 .0050 1 0.94 1.67 .0051 2 0.94 1.68 .0052 1 0.94 1.77 .0053 1 0.94 1.84 .0054 1 0.94 1.73 .0055 1 0.94 1.87 .0056 1 0.94 1.75 .0057 1 0.94 1.78 .0058 1 0.94 1.81 .0059 1 0.94 1.77 .0060 1 0.94 1.81 .0061 1 0.94 1.86 .0062 1 0.94 1.74 .0063 1 0.94 1.78 .0064 1 0.94 1.84 .0065 1 0.94 1.71 .0066 1 0.94 1.86 .0067 1 0.94 1.83 .0068 1 0.94 1.74 .0069 1 0.94 1.83 .0070 1 0.94 1.84 .0071 1 0.94 1.65 .0072 1 0.94 1.87 .0073 1 0.94 1.90 .0074 1 0.94 1.81 .0075 1 0.94 1.69 .0076 1 0.94 1.76 .0077 1 0.94 1.76 .0078 1 0.94 1.84 .0079 1 0.95 1.75 .0080 1 0.95 1.79 .0081 1 0.95 1.79 .0082 1 0.95 1.95 .0083 1 0.95 1.77 .0084 1 0.95 1.84 .0085 1 0.95 1.80 .0086 2 0.95 1.80 .0087 1 0.95 1.86 .0088 1 0.95 1.86 .0089 1 0.95 1.95 .0090 2 0.95 1.96 .0091 1 0.95 1.93 .0092 1 0.95 1.82 .0093 1 0.95 1.82 .0094 1 0.95 1.82 .0095 1 0.95 2.14 .0096 2 0.95 1.81 .0097 1 0.95 2.07 .0098 3 0.95 1.99 .0099 1 0.95 1.81 .0100 1 0.95 1.86 .0101 1 0.95 1.89 .0102 1 0.95 1.90 .0103 1 0.95 1.87 .0104 1 0.95 1.89 .0105 1 0.95 1.73 .0106 1 0.95 1.80 .0107 1 0.95 1.83 .0108 1 0.95 1.96 .0109 1 0.95 1.87 .0110 1 0.95 1.98 .0111 2 0.95 1.74 .0112 1 0.95 2.06 .0113 1 0.95 1.86 .0114 1 0.95 1.92 .0115 1 0.95 1.81 .0116 1 0.95 1.97 .0117 1 0.95 1.78 .0118 1 0.95 1.80 .0119 1 0.95 1.81 .0120 1 0.95 1.87 .0121 1 0.95 1.77 .0122 1 0.95 1.84 .0123 1 0.95 1.82 .0124 1 0.95 1.79 .0125 1 0.95 1.92 .0126 1 0.95 1.80 .0127 1 0.95 1.85 .0128 1 0.95 1.93 .0129 1 0.95 1.83 .0130 1 0.95 1.78 .0131 2 0.95 2.06 .0132 1 0.95 1.95 .0133 1 0.95 1.80 .0134 1 0.95 1.85 .0135 1 0.95 1.74 .0136 1 0.95 1.86 .0137 1 0.95 1.81 .0138 1 0.95 1.78 .0139 1 0.95 1.81 .0140 1 0.95 1.79 .0141 1 0.95 1.76 .0142 2 0.95 1.74 .0143 2 0.95 1.92 .0144 1 0.95 1.82 .0145 2 0.95 1.95 .0146 1 0.95 1.75 .0147 1 0.96 1.80 .0148 1 0.96 1.89 .0149 2 0.96 1.92 .0150 1 0.96 1.81 .0151 1 0.96 1.82 .0152 1 0.96 1.77 .0153 1 0.96 1.81 .0154 1 0.96 1.79 .0155 1 0.96 1.73 .0156 1 0.96 1.80 .0157 1 0.96 1.76 .0158 2 0.96 1.84 .0159 1 0.96 1.90 .0160 1 0.96 1.79 .0161 1 0.96 1.79 .0162 1 0.96 1.96 .0163 3 0.96 1.82 .0164 1 0.96 1.96 .0165 1 0.96 1.86 .0166 1 0.96 1.73 .0167 1 0.96 1.98 .0168 1 0.96 1.76 .0169 1 0.96 1.77 .0170 1 0.96 1.88 .0171 1 0.96 1.83 .0172 2 0.96 1.86 .0173 2 0.96 1.88 .0174 1 0.96 1.87 .0175 1 0.96 1.86 .0176 1 0.96 1.79 .0177 1 0.96 1.82 .0178 1 0.96 1.85 .0179 1 0.96 1.91 .0180 1 0.96 1.76 .0181 1 0.96 1.80 .0182 1 0.96 1.75 .0183 1 0.96 1.76 .0184 1 0.96 1.76 .0185 1 0.96 1.83 .0186 1 0.96 1.84 .0187 1 0.96 1.88 .0188 1 0.96 1.73 .0189 2 0.96 1.86 .0190 1 0.96 1.93 .0191 1 0.96 1.79 .0192 1 0.96 1.85 .0193 1 0.96 1.88 .0194 1 0.96 1.81 .0195 1 0.96 1.81 .0196 1 0.96 1.92 .0197 2 0.96 1.91 .0198 1 0.96 1.93 .0199 1 0.96 1.90 .0200 1 0.96 1.88 .0201 1 0.96 1.83 .0202 1 0.96 1.90 .0203 1 0.96 1.80 .0204 1 0.96 1.90 .0205 1 0.96 1.83 .0206 1 0.96 1.97 .0207 1 0.96 1.90 .0208 1 0.96 1.90 .0209 1 0.96 2.03 .0210 1 0.96 1.98 .0211 1 0.96 1.89 .0212 2 0.96 1.95 .0213 1 0.96 1.90 .0214 1 0.96 2.10 .0215 2 0.96 2.10 .0216 1 0.96 1.94 .0217 1 0.96 1.98 .0218 1 0.96 1.96 .0219 1 0.96 1.98 .0220 1 0.96 2.09 .0221 1 0.96 2.08 .0222 1 0.96 2.07 .0223 1 0.96 2.07 .0224 1 0.96 2.05 .0225 3 0.96 2.11 .0226 2 0.96 2.28 .0227 1 0.96 2.05 .0228 1 0.96 2.10 .0229 1 0.96 2.22 .0230 1 0.96 2.31 .0231 1 0.96 2.18 .0232 1 0.96 2.14 .0233 1 0.96 2.14 .0234 1 0.96 2.19 .0235 1 0.96 2.19 .0236 1 0.96 2.24 .0237 2 0.96 2.10 .0238 1 0.96 2.17 .0239 1 0.96 2.34 .0240 1 0.96 2.19 .0241 1 0.96 2.28 .0242 1 0.96 2.29 .0243 1 0.96 2.40 .0244 1 0.97 2.29 .0245 1 0.97 2.26 .0246 1 0.97 2.42 .0247 1 0.97 2.42 .0248 1 0.97 2.44 .0249 1 0.97 2.45 .0250 1 0.97 2.50 .0251 1 0.97 2.48 .0252 1 0.97 2.39 .0253 1 0.97 2.61 .0254 1 0.97 2.37 .0255 1 0.97 2.45 .0256 1 0.97 2.60 .0257 1 0.97 2.66 .0258 1 0.97 2.74 .0259 2 0.97 2.63 .0260 1 0.97 2.64 .0261 1 0.97 2.72 .0262 1 0.97 2.78 .0263 1 0.97 2.65 .0264 1 0.97 2.77 .0265 1 0.97 2.73 .0266 1 0.97 2.81 .0267 1 0.97 2.86 .0268 1 0.97 2.86 .0269 1 0.97 2.88 .0270 1 0.97 2.95 .0271 1 0.97 2.78 .0272 1 0.97 2.90 .0273 1 0.97 2.95 .0274 1 0.97 2.87 .0275 1 0.97 2.97 .0276 1 0.97 3.01 .0277 1 0.97 2.96 .0278 1 0.97 2.94 .0279 1 0.97 2.89 .0280 1 0.97 3.00 .0281 1 0.97 3.01 .0282 1 0.97 2.97 .0283 1 0.97 3.05 .0284 1 0.97 3.05 .0285 1 0.97 3.08 .0286 1 0.97 3.03 .0287 3 0.97 3.16 .0288 3 0.97 3.17 .0289 1 0.97 3.61 .0290 1 0.97 3.15 .0291 1 0.97 3.34 .0292 1 0.97 3.36 .0293 1 0.97 3.30 .0294 1 0.97 3.41 .0295 1 0.97 3.39 .0296 1 0.97 3.54 .0297 1 0.97 3.45 .0298 1 0.97 3.45 .0299 1 0.97 3.38 .0300 1 0.97 3.31 .0301 1 0.97 3.24 .0302 1 0.97 3.59 .0303 1 0.97 3.40 .0304 1 0.97 3.51 .0305 1 0.97 3.64 .0306 1 0.97 3.32 .0307 1 0.97 3.44 .0308 1 0.97 4.20 .0309 1 0.97 3.92 .0310 1 0.97 3.51 .0311 1 0.97 4.36 .0312 1 0.97 3.61 .0313 1 0.97 3.60 .0314 1 0.97 3.73 .0315 1 0.97 3.62 .0316 1 0.97 3.64 .0317 1 0.97 3.76 .0318 1 0.97 3.74 .0319 1 0.97 3.91 .0320 1 0.97 3.81 .0321 1 0.97 3.81 .0322 1 0.97 3.78 .0323 1 0.97 3.69 .0324 2 0.97 3.94 .0325 1 0.97 3.76 .0326 2 0.97 3.87 .0327 1 0.97 3.94 .0328 1 0.97 3.90 .0329 1 0.97 4.21 .0330 1 0.97 4.23 .0331 1 0.97 3.98 .0332 1 0.97 3.82 .0333 1 0.97 4.21 .0334 1 0.97 4.04 .0335 1 0.97 3.95 .0336 1 0.97 4.14 .0337 1 0.97 4.08 .0338 1 0.97 3.96 .0339 1 0.97 4.04 .0340 2 0.97 4.29 .0341 2 0.97 4.89 .0342 1 0.97 4.21 .0343 1 0.97 4.20 .0344 2 0.97 4.44 .0345 2 0.97 4.23 .0346 1 0.97 4.26 .0347 1 0.97 4.11 .0348 1 0.97 4.25 .0349 1 0.97 4.16 .0350 1 0.97 4.23 .0351 1 0.97 4.17 .0352 1 0.97 4.28 .0353 1 0.97 4.29 .0354 1 0.97 4.32 .0355 1 0.97 4.44 .0356 1 0.97 4.43 .0357 1 0.97 4.43 .0358 1 0.97 4.48 .0359 1 0.97 4.36 .0360 1 0.97 4.37 .0361 1 0.97 4.71 .0362 1 0.97 4.22 .0363 1 0.97 4.26 .0364 1 0.97 4.54 .0365 1 0.97 4.55 .0366 1 0.97 4.65 .0367 1 0.97 4.79 .0368 1 0.97 4.42 .0369 1 0.97 4.85 .0370 2 0.97 4.58 .0371 1 0.97 4.92 .0372 2 0.97 4.83 .0373 1 0.97 4.63 .0374 1 0.97 4.66 .0375 3 0.97 4.76 .0376 1 0.97 4.46 .0377 1 0.97 4.70 .0378 1 0.97 4.76 .0379 1 0.97 4.69 .0380 1 0.97 4.96 .0381 1 0.97 5.04 .0382 1 0.97 4.85 .0383 1 0.97 5.24 .0384 2 0.97 5.09 .0385 1 0.97 5.32 .0386 1 0.97 5.29 .0387 1 0.97 5.90 .0388 1 0.97 5.54 .0389 1 0.97 5.06 .0390 1 0.97 5.24 .0391 1 0.97 5.16 .0392 1 0.97 4.86 .0393 1 0.97 4.95 .0394 1 0.97 5.14 .0395 1 0.97 4.91 .0396 1 0.97 5.01 .0397 1 0.97 5.24 .0398 1 0.97 5.19 .0399 1 0.97 5.04 .0400 1 0.97 5.13 .0401 1 0.97 5.17 .0402 1 0.97 5.07 .0403 1 0.97 5.21 .0404 1 0.97 5.18 .0405 1 0.97 5.26 .0406 1 0.97 5.34 .0407 1 0.97 5.04 .0408 1 0.97 5.23 .0409 1 0.97 5.25 .0410 1 0.97 5.30 .0411 1 0.97 5.27 .0412 1 0.97 5.30 .0413 2 0.97 5.17 .0414 1 0.97 5.36 .0415 1 0.97 6.04 .0416 1 0.97 5.36 .0417 1 0.97 5.82 .0418 3 0.97 5.48 .0419 2 0.97 5.64 .0420 1 0.97 5.43 .0421 1 0.97 5.30 .0422 1 0.97 5.35 .0423 1 0.97 5.45 .0424 1 0.97 5.37 .0425 1 0.97 5.32 .0426 1 0.97 5.58 .0427 1 0.97 5.46 .0428 1 0.97 5.70 .0429 1 0.97 5.53 .0430 1 0.97 5.30 .0431 1 0.97 5.30 .0432 1 0.97 5.60 .0433 1 0.97 5.72 .0434 1 0.97 5.52 .0435 1 0.97 5.82 .0436 1 0.97 5.62 .0437 1 0.97 5.66 .0438 1 0.97 5.71 .0439 1 0.97 5.52 .0440 1 0.97 5.57 .0441 1 0.97 5.70 .0442 1 0.97 5.62 .0443 1 0.97 5.81 .0444 1 0.97 5.96 .0445 1 0.97 5.60 .0446 2 0.97 5.80 .0447 1 0.97 5.77 .0448 1 0.97 5.74 .0449 1 0.97 5.69 .0450 1 0.97 5.62 .0451 1 0.97 5.60 .0452 1 0.97 5.62 .0453 1 0.97 5.59 .0454 3 0.97 5.49 .0455 1 0.97 5.92 .0456 1 0.97 6.68 .0457 1 0.97 5.65 .0458 1 0.97 5.80 .0459 1 0.97 5.68 .0460 1 0.97 5.88 .0461 1 0.97 5.86 .0462 1 0.97 5.86 .0463 1 0.97 5.97 .0464 1 0.97 5.84 .0465 1 0.97 6.09 .0466 1 0.97 5.85 .0467 1 0.97 6.06 .0468 1 0.97 5.74 .0469 1 0.97 6.42 .0470 1 0.97 6.05 .0471 1 0.97 5.88 .0472 1 0.97 5.78 .0473 1 0.97 5.75 .0474 1 0.97 5.79 .0475 1 0.97 6.52 .0476 1 0.97 5.81 .0477 1 0.97 5.81 .0478 2 0.97 5.97 .0479 1 0.97 6.03 .0480 1 0.97 5.98 .0481 1 0.97 6.03 .0482 1 0.97 6.17 .0483 1 0.97 6.25 .0484 1 0.97 5.81 .0485 1 0.97 5.81 .0486 1 0.97 5.90 .0487 1 0.97 6.07 .0488 1 0.97 5.99 .0489 2 0.97 6.91 .0490 3 0.97 6.17 .0491 1 0.97 6.14 .0492 2 0.97 6.13 .0493 1 0.97 5.88 .0494 1 0.97 6.23 .0495 2 0.97 6.39 .0496 1 0.97 6.33 .0497 1 0.97 6.10 .0498 1 0.97 6.36 .0499 1 0.97 6.31 .0500 1 0.97 6.13 .0501 1 0.97 6.11 .0502 1 0.97 5.98 .0503 1 0.97 6.17 .0504 1 0.97 6.20 .0505 1 0.97 6.20 .0506 1 0.97 6.12 .0507 1 0.97 6.05 .0508 1 0.97 5.95 .0509 1 0.97 6.67 .0510 1 0.97 6.10 .0511 1 0.97 6.07 .0512 1 0.97 6.29 .0513 1 0.97 6.00 .0514 1 0.97 5.98 .0515 1 0.97 5.98 .0516 1 0.97 6.00 .0517 1 0.97 5.96 .0518 1 0.97 6.22 .0519 1 0.97 5.71 .0520 1 0.97 6.12 .0521 1 0.97 5.99 .0522 1 0.97 6.05 .0523 1 0.97 5.87 .0524 1 0.97 6.55 .0525 1 0.97 6.21 .0526 1 0.97 6.04 .0527 1 0.97 6.26 .0528 1 0.97 6.05 .0529 1 0.97 5.59 .0530 1 0.97 6.36 .0531 1 0.97 5.78 .0532 1 0.97 5.69 .0533 1 0.97 5.73 .0534 1 0.97 5.69 .0535 1 0.97 5.53 .0536 1 0.97 5.52 .0537 1 0.97 5.69 .0538 1 0.97 5.38 .0539 1 0.97 6.61 .0540 1 0.97 6.18 .0541 1 0.97 5.51 .0542 1 0.97 5.63 .0543 1 0.97 5.53 .0544 1 0.97 5.56 .0545 1 0.97 5.66 .0546 1 0.97 5.58 .0547 1 0.97 5.77 .0548 1 0.97 5.49 .0549 1 0.97 6.14 .0550 1 0.97 5.98 .0551 1 0.97 5.68 .0552 1 0.97 5.30 .0553 1 0.97 5.60 .0554 1 0.97 5.61 .0555 1 0.97 5.44 .0556 1 0.97 5.51 .0557 1 0.97 5.68 .0558 1 0.97 5.40 .0559 1 0.97 5.28 .0560 1 0.97 5.44 .0561 1 0.97 5.37 .0562 1 0.97 5.47 .0563 1 0.97 5.24 .0564 1 0.97 5.36 .0565 1 0.97 5.41 .0566 1 0.97 5.33 .0567 1 0.97 5.39 .0568 1 0.97 5.45 .0569 1 0.97 5.93 .0570 1 0.97 5.26 .0571 1 0.97 5.10 .0572 1 0.97 5.36 .0573 1 0.97 5.46 .0574 1 0.97 5.39 .0575 1 0.97 5.64 .0576 2 0.97 6.03 .0577 1 0.97 5.53 .0578 1 0.97 5.60 .0579 1 0.97 5.59 .0580 1 0.97 5.25 .0581 1 0.97 5.28 .0582 1 0.97 5.56 .0583 1 0.97 5.29 .0584 1 0.97 5.41 .0585 1 0.97 5.42 .0586 1 0.97 5.59 .0587 1 0.97 5.41 .0588 1 0.97 5.40 .0589 1 0.97 5.07 .0590 1 0.97 5.46 .0591 1 0.97 5.59 .0592 1 0.97 5.44 .0593 1 0.97 5.33 .0594 1 0.97 5.20 .0595 1 0.97 5.44 .0596 1 0.97 5.47 .0597 1 0.97 5.44 .0598 1 0.97 5.28 .0599 1 0.97 5.29 .0600 1 0.97 5.23 .0601 1 0.97 5.25 .0602 1 0.97 5.20 .0603 1 0.97 5.44 .0604 1 0.97 5.16 .0605 1 0.97 5.29 .0606 1 0.97 5.13 .0607 1 0.97 5.23 .0608 1 0.97 5.25 .0609 1 0.97 5.28 .0610 1 0.97 5.38 .0611 1 0.97 4.92 .0612 1 0.97 5.20 .0613 1 0.97 5.14 .0614 1 0.97 4.98 .0615 1 0.97 5.21 .0616 1 0.97 5.16 .0617 1 0.97 5.10 .0618 1 0.97 4.92 .0619 1 0.97 4.93 .0620 1 0.97 5.04 .0621 1 0.97 4.99 .0622 1 0.97 4.88 .0623 1 0.97 5.07 .0624 1 0.97 5.09 .0625 1 0.97 5.28 .0626 1 0.97 5.09 .0627 1 0.97 4.94 .0628 1 0.97 4.94 .0629 1 0.97 5.08 .0630 1 0.97 5.19 .0631 1 0.97 5.07 .0632 1 0.97 5.04 .0633 1 0.97 4.79 .0634 1 0.97 4.92 .0635 1 0.97 5.46 .0636 1 0.97 5.21 .0637 1 0.97 5.25 .0638 1 0.97 5.04 .0639 1 0.97 5.21 .0640 1 0.97 4.90 .0641 1 0.97 4.98 .0642 1 0.97 4.93 .0643 1 0.97 4.97 .0644 1 0.97 4.94 .0645 1 0.97 5.14 .0646 1 0.97 5.04 .0647 1 0.97 5.09 .0648 1 0.97 5.13 .0649 1 0.97 5.02 .0650 1 0.97 4.93 .0651 1 0.97 5.16 .0652 3 0.97 5.17 .0653 2 0.97 5.27 .0654 1 0.97 5.10 .0655 1 0.97 5.17 .0656 2 0.97 5.31 .0657 2 0.97 5.49 .0658 1 0.97 5.28 .0659 1 0.97 5.28 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.1992 1 0.98 1.93 .1993 1 0.98 2.05 .1994 1 0.98 1.85 .1995 1 0.98 2.17 .1996 1 0.98 1.93 .1997 1 0.98 2.21 .1998 3 0.98 2.59 .1999 2 0.98 1.92 .2000 2 0.98 1.99 .2001 1 0.98 2.00 .2002 1 0.98 2.48 .2003 1 0.98 1.98 .2004 1 0.98 1.82 .2005 2 0.98 1.94 .2006 1 0.98 1.87 .2007 1 0.98 1.92 .2008 1 0.98 1.80 .2009 1 0.98 1.94 .2010 1 0.98 1.82 .2011 1 0.98 1.79 .2012 1 0.98 1.90 .2013 1 0.98 1.81 .2014 1 0.98 1.78 .2015 1 0.98 1.78 .2016 1 0.98 1.81 .2017 1 0.98 1.82 .2018 1 0.98 1.81 .2019 1 0.98 1.78 .2020 1 0.98 1.94 .2021 1 0.98 1.82 .2022 1 0.98 1.87 .2023 1 0.98 1.81 .2024 1 0.98 1.75 .2025 1 0.98 1.73 .2026 1 0.98 1.73 .2027 1 0.98 1.85 .2028 1 0.98 1.73 .2029 1 0.98 1.67 .2030 1 0.98 1.70 .2031 1 0.98 1.67 .2032 1 0.98 1.73 .2033 2 0.98 1.74 .2034 1 0.98 2.20 .2035 1 0.98 1.77 .2036 1 0.98 1.65 .2037 1 0.98 1.71 .2038 3 0.98 1.74 .2039 1 0.98 1.89 .2040 1 0.98 1.77 .2041 1 0.98 1.80 .2042 1 0.98 1.80 .2043 1 0.98 1.70 .2044 1 0.98 1.64 .2045 1 0.98 1.70 .2046 1 0.98 1.82 .2047 1 0.98 1.74 EXTRACT_IMAGE: b1: masked 152 pixels SPCALIB: b1: First extraction chi^2 0.00000 11.0881 SPCALIB: b1: Second extraction chi^2 0.00000 7.65503 SUPERFLAT: b1: Creating superflat from 313 fibers highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b1: Number of fiberflat points LE 0 = 8374 SPCALIB: b1: Create fiberflats for flat # 2 of 2 SPCALIB: b1: Flat sdR-b1-00034676.fit paired with arc sdR-b1-00034677.fit SPCALIB: b1: Reading flat sdR-b1-00034676.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.80121 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1219.35 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1200. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.08933 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1022.35 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1006. DN is 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.38 .0004 1 0.93 1.28 .0005 1 0.93 1.33 .0006 1 0.93 1.20 .0007 1 0.93 1.30 .0008 1 0.93 1.32 .0009 1 0.93 1.32 .0010 1 0.93 1.29 .0011 1 0.93 1.30 .0012 2 0.93 1.23 .0013 3 0.93 1.37 .0014 2 0.93 1.37 .0015 2 0.93 1.54 .0016 1 0.93 1.34 .0017 1 0.93 1.45 .0018 1 0.93 1.44 .0019 1 0.93 1.38 .0020 1 0.93 1.37 .0021 1 0.93 1.40 .0022 2 0.93 1.51 .0023 1 0.93 1.42 .0024 1 0.93 1.51 .0025 1 0.93 1.43 .0026 2 0.93 1.58 .0027 1 0.93 1.61 .0028 2 0.93 1.67 .0029 1 0.93 1.63 .0030 1 0.93 1.58 .0031 1 0.94 1.65 .0032 1 0.94 1.55 .0033 2 0.94 1.62 .0034 1 0.94 1.66 .0035 1 0.94 1.62 .0036 1 0.94 1.69 .0037 1 0.94 1.74 .0038 1 0.94 1.70 .0039 1 0.94 1.70 .0040 1 0.94 1.70 .0041 1 0.94 1.79 .0042 1 0.94 1.77 .0043 1 0.94 1.82 .0044 1 0.94 1.79 .0045 1 0.94 1.91 .0046 1 0.94 1.81 .0047 1 0.94 1.85 .0048 1 0.94 1.85 .0049 1 0.94 1.89 .0050 2 0.94 1.92 .0051 3 0.94 1.85 .0052 2 0.94 1.99 .0053 1 0.94 2.05 .0054 1 0.94 2.05 .0055 3 0.94 1.92 .0056 1 0.94 2.10 .0057 1 0.94 2.02 .0058 1 0.94 2.02 .0059 1 0.94 2.04 .0060 1 0.94 2.03 .0061 1 0.94 1.98 .0062 1 0.94 1.97 .0063 1 0.94 1.83 .0064 1 0.94 1.99 .0065 1 0.94 2.02 .0066 1 0.94 2.15 .0067 1 0.94 2.05 .0068 1 0.94 1.92 .0069 1 0.94 2.09 .0070 1 0.94 2.12 .0071 3 0.94 1.96 .0072 2 0.94 2.55 .0073 1 0.94 1.96 .0074 1 0.94 2.02 .0075 1 0.94 2.11 .0076 1 0.94 2.08 .0077 1 0.94 2.16 .0078 1 0.95 1.97 .0079 1 0.95 1.97 .0080 1 0.95 2.07 .0081 1 0.95 2.11 .0082 1 0.95 2.11 .0083 2 0.95 1.93 .0084 1 0.95 2.09 .0085 1 0.95 2.04 .0086 1 0.95 1.96 .0087 1 0.95 2.12 .0088 1 0.95 2.10 .0089 1 0.95 2.07 .0090 1 0.95 2.01 .0091 1 0.95 2.18 .0092 1 0.95 2.09 .0093 2 0.95 2.12 .0094 1 0.95 2.60 .0095 2 0.95 2.11 .0096 1 0.95 2.12 .0097 1 0.95 2.04 .0098 1 0.95 2.21 .0099 1 0.95 2.10 .0100 1 0.95 2.14 .0101 1 0.95 2.10 .0102 1 0.95 2.02 .0103 1 0.95 2.08 .0104 1 0.95 2.08 .0105 1 0.95 2.06 .0106 1 0.95 2.07 .0107 1 0.95 2.08 .0108 1 0.95 2.24 .0109 1 0.95 2.09 .0110 1 0.95 2.08 .0111 1 0.95 2.07 .0112 1 0.95 2.14 .0113 1 0.95 2.11 .0114 1 0.95 1.99 .0115 1 0.95 2.10 .0116 1 0.95 2.13 .0117 1 0.95 2.07 .0118 1 0.95 2.21 .0119 1 0.95 2.04 .0120 2 0.95 2.13 .0121 1 0.95 2.12 .0122 1 0.95 2.08 .0123 1 0.95 2.03 .0124 1 0.95 2.13 .0125 1 0.95 1.97 .0126 1 0.95 2.07 .0127 1 0.95 2.03 .0128 1 0.95 2.15 .0129 2 0.95 2.12 .0130 1 0.95 2.05 .0131 1 0.95 2.04 .0132 1 0.95 2.08 .0133 2 0.95 2.17 .0134 1 0.95 2.03 .0135 1 0.95 2.12 .0136 1 0.95 2.17 .0137 1 0.95 2.01 .0138 1 0.95 2.06 .0139 1 0.95 2.16 .0140 1 0.95 2.14 .0141 1 0.95 2.21 .0142 1 0.95 2.11 .0143 1 0.95 2.00 .0144 1 0.95 2.03 .0145 1 0.95 2.00 .0146 1 0.96 2.12 .0147 3 0.96 1.99 .0148 1 0.96 2.03 .0149 1 0.96 2.06 .0150 1 0.96 2.14 .0151 1 0.96 2.14 .0152 1 0.96 2.08 .0153 1 0.96 2.13 .0154 1 0.96 2.12 .0155 1 0.96 2.07 .0156 1 0.96 2.13 .0157 1 0.96 2.24 .0158 1 0.96 2.13 .0159 1 0.96 2.13 .0160 1 0.96 2.11 .0161 1 0.96 2.10 .0162 1 0.96 2.10 .0163 1 0.96 2.09 .0164 3 0.96 2.17 .0165 3 0.96 2.16 .0166 1 0.96 2.11 .0167 1 0.96 2.14 .0168 1 0.96 2.14 .0169 1 0.96 2.22 .0170 1 0.96 2.17 .0171 1 0.96 2.09 .0172 1 0.96 2.34 .0173 1 0.96 2.24 .0174 1 0.96 2.10 .0175 2 0.96 2.27 .0176 1 0.96 2.09 .0177 1 0.96 2.10 .0178 3 0.96 2.13 .0179 1 0.96 2.59 .0180 2 0.96 2.23 .0181 1 0.96 2.18 .0182 1 0.96 2.08 .0183 1 0.96 2.20 .0184 1 0.96 2.15 .0185 1 0.96 2.10 .0186 1 0.96 2.25 .0187 1 0.96 2.15 .0188 1 0.96 2.21 .0189 1 0.96 2.15 .0190 1 0.96 2.20 .0191 1 0.96 2.14 .0192 1 0.96 2.18 .0193 1 0.96 2.23 .0194 1 0.96 2.11 .0195 1 0.96 2.09 .0196 1 0.96 2.16 .0197 1 0.96 2.14 .0198 1 0.96 2.06 .0199 1 0.96 2.06 .0200 1 0.96 2.16 .0201 1 0.96 2.13 .0202 1 0.96 2.29 .0203 2 0.96 2.46 .0204 1 0.96 2.21 .0205 1 0.96 2.13 .0206 1 0.96 2.11 .0207 1 0.96 2.24 .0208 3 0.96 2.35 .0209 2 0.96 2.45 .0210 1 0.96 2.15 .0211 1 0.96 2.38 .0212 1 0.96 2.27 .0213 1 0.96 2.22 .0214 1 0.96 2.23 .0215 1 0.96 2.29 .0216 1 0.96 2.41 .0217 1 0.96 2.34 .0218 1 0.96 2.36 .0219 2 0.96 2.25 .0220 1 0.96 2.44 .0221 1 0.96 2.29 .0222 2 0.96 2.52 .0223 2 0.96 2.59 .0224 2 0.96 2.62 .0225 1 0.96 2.44 .0226 1 0.96 2.34 .0227 1 0.96 2.41 .0228 1 0.96 2.54 .0229 1 0.96 2.55 .0230 2 0.96 2.78 .0231 2 0.96 2.53 .0232 1 0.96 2.68 .0233 1 0.96 2.56 .0234 2 0.96 2.56 .0235 1 0.96 2.56 .0236 1 0.96 2.70 .0237 1 0.96 2.69 .0238 1 0.96 2.56 .0239 1 0.96 2.66 .0240 1 0.96 2.69 .0241 2 0.96 2.74 .0242 1 0.96 2.87 .0243 1 0.97 2.72 .0244 1 0.97 2.83 .0245 2 0.97 2.77 .0246 2 0.97 2.84 .0247 1 0.97 2.81 .0248 1 0.97 2.98 .0249 1 0.97 3.06 .0250 1 0.97 2.85 .0251 1 0.97 2.91 .0252 1 0.97 3.08 .0253 1 0.97 3.06 .0254 1 0.97 3.11 .0255 1 0.97 3.00 .0256 1 0.97 3.24 .0257 1 0.97 3.20 .0258 1 0.97 3.08 .0259 2 0.97 3.18 .0260 1 0.97 3.25 .0261 1 0.97 3.27 .0262 1 0.97 3.16 .0263 1 0.97 3.24 .0264 1 0.97 3.35 .0265 1 0.97 3.30 .0266 1 0.97 3.28 .0267 1 0.97 3.37 .0268 1 0.97 3.57 .0269 2 0.97 3.79 .0270 1 0.97 3.34 .0271 1 0.97 3.70 .0272 1 0.97 3.63 .0273 1 0.97 3.50 .0274 1 0.97 3.44 .0275 1 0.97 3.53 .0276 1 0.97 3.83 .0277 1 0.97 3.61 .0278 1 0.97 3.50 .0279 1 0.97 3.77 .0280 1 0.97 3.69 .0281 1 0.97 3.68 .0282 1 0.97 3.85 .0283 1 0.97 3.74 .0284 1 0.97 3.88 .0285 1 0.97 3.97 .0286 1 0.97 3.79 .0287 1 0.97 3.86 .0288 1 0.97 3.91 .0289 1 0.97 4.00 .0290 1 0.97 4.13 .0291 1 0.97 3.97 .0292 1 0.97 3.92 .0293 1 0.97 4.05 .0294 1 0.97 4.17 .0295 1 0.97 4.10 .0296 1 0.97 4.06 .0297 1 0.97 4.41 .0298 1 0.97 4.15 .0299 1 0.97 4.09 .0300 1 0.97 4.50 .0301 2 0.97 4.25 .0302 1 0.97 4.26 .0303 1 0.97 4.27 .0304 1 0.97 4.31 .0305 1 0.97 4.45 .0306 1 0.97 4.35 .0307 1 0.97 4.53 .0308 1 0.97 4.59 .0309 1 0.97 4.57 .0310 1 0.97 4.57 .0311 1 0.97 4.37 .0312 1 0.97 4.67 .0313 1 0.97 4.54 .0314 1 0.97 4.46 .0315 1 0.97 4.73 .0316 1 0.97 4.72 .0317 1 0.97 4.78 .0318 1 0.97 4.63 .0319 1 0.97 4.96 .0320 1 0.97 4.62 .0321 2 0.97 4.92 .0322 2 0.97 4.88 .0323 1 0.97 4.80 .0324 1 0.97 4.84 .0325 1 0.97 4.89 .0326 1 0.97 4.81 .0327 1 0.97 4.95 .0328 1 0.97 4.80 .0329 1 0.97 5.10 .0330 1 0.97 5.09 .0331 1 0.97 5.18 .0332 1 0.97 5.02 .0333 1 0.97 5.01 .0334 1 0.97 5.22 .0335 1 0.97 5.06 .0336 1 0.97 5.21 .0337 1 0.97 5.12 .0338 1 0.97 5.24 .0339 1 0.97 5.14 .0340 1 0.97 5.12 .0341 1 0.97 5.41 .0342 1 0.97 5.38 .0343 1 0.97 5.33 .0344 1 0.97 5.23 .0345 1 0.97 5.31 .0346 1 0.97 5.40 .0347 1 0.97 5.53 .0348 1 0.97 5.29 .0349 1 0.97 5.39 .0350 1 0.97 5.52 .0351 1 0.97 5.48 .0352 1 0.97 5.70 .0353 1 0.97 5.42 .0354 1 0.97 5.59 .0355 1 0.97 5.73 .0356 1 0.97 5.63 .0357 1 0.97 5.81 .0358 1 0.97 5.79 .0359 1 0.97 5.66 .0360 1 0.97 5.86 .0361 1 0.97 5.88 .0362 1 0.97 5.80 .0363 1 0.97 5.90 .0364 1 0.97 6.65 .0365 1 0.97 5.88 .0366 1 0.97 5.62 .0367 1 0.97 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2.86 .1973 1 0.98 2.95 .1974 2 0.98 3.02 .1975 2 0.98 2.98 .1976 1 0.98 2.94 .1977 1 0.98 2.94 .1978 1 0.98 2.99 .1979 1 0.98 2.93 .1980 1 0.98 3.08 .1981 1 0.98 2.92 .1982 1 0.98 2.81 .1983 1 0.98 3.03 .1984 1 0.98 2.97 .1985 1 0.98 2.95 .1986 1 0.98 2.68 .1987 1 0.98 2.87 .1988 1 0.98 2.91 .1989 1 0.98 2.80 .1990 1 0.98 2.96 .1991 1 0.98 2.80 .1992 1 0.98 3.07 .1993 1 0.98 2.69 .1994 1 0.98 2.88 .1995 1 0.98 2.68 .1996 1 0.98 3.11 .1997 1 0.98 3.17 .1998 2 0.98 2.87 .1999 2 0.98 3.19 .2000 2 0.98 3.02 .2001 1 0.98 3.43 .2002 1 0.98 3.23 .2003 1 0.98 2.79 .2004 1 0.98 2.70 .2005 1 0.98 2.54 .2006 1 0.98 2.66 .2007 1 0.98 2.70 .2008 2 0.98 2.63 .2009 1 0.98 2.72 .2010 1 0.98 2.65 .2011 2 0.98 2.40 .2012 1 0.98 2.56 .2013 3 0.98 2.49 .2014 4 0.98 2.54 .2015 4 0.98 2.81 .2016 2 0.98 2.93 .2017 1 0.98 2.55 .2018 1 0.98 2.75 .2019 1 0.98 2.68 .2020 1 0.98 2.49 .2021 1 0.98 2.66 .2022 1 0.98 2.57 .2023 3 0.98 2.55 .2024 1 0.98 2.56 .2025 1 0.98 2.54 .2026 1 0.98 2.38 .2027 1 0.98 2.55 .2028 1 0.98 2.53 .2029 1 0.98 2.43 .2030 1 0.98 2.48 .2031 1 0.98 2.39 .2032 1 0.98 2.43 .2033 1 0.98 2.43 .2034 1 0.98 2.48 .2035 1 0.98 2.48 .2036 1 0.98 2.34 .2037 1 0.98 2.61 .2038 1 0.98 2.49 .2039 1 0.98 2.39 .2040 1 0.98 2.54 .2041 1 0.98 2.47 .2042 1 0.98 2.48 .2043 1 0.98 2.41 .2044 1 0.98 2.61 .2045 1 0.98 2.64 .2046 2 0.98 2.59 .2047 1 0.98 2.60 EXTRACT_IMAGE: b1: masked 113 pixels DOSCATTER: b1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b1: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b1: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 64 0.02 0.11 Step 10 of 2080 0.61 64 0.02 0.11 Step 14 of 2080 0.61 64 0.03 0.11 Step 18 of 2080 0.61 64 0.02 0.12 Step 22 of 2080 0.61 64 0.03 0.12 Step 26 of 2080 0.61 64 0.03 0.13 Step 30 of 2080 0.61 64 0.03 0.11 Step 34 of 2080 0.61 64 0.04 0.13 Step 38 of 2080 0.61 64 0.03 0.12 Step 42 of 2080 0.61 64 0.03 0.12 Step 46 of 2080 0.61 64 0.04 0.12 Step 50 of 2080 0.61 64 0.03 0.12 Step 54 of 2080 0.61 64 0.03 0.11 Step 58 of 2080 0.61 64 0.03 0.12 Step 62 of 2080 0.61 64 0.03 0.12 Step 66 of 2080 0.61 64 0.03 0.11 Step 70 of 2080 0.61 64 0.03 0.12 Step 74 of 2080 0.61 64 0.03 0.12 Step 78 of 2080 0.61 64 0.04 0.13 Step 82 of 2080 0.61 64 0.03 0.12 Step 86 of 2080 0.61 64 0.03 0.12 Step 90 of 2080 0.60 64 0.04 0.15 Step 94 of 2080 0.60 64 0.03 0.13 Step 98 of 2080 0.60 64 0.03 0.14 Step 102 of 2080 0.60 64 0.03 0.13 Step 106 of 2080 0.60 64 0.03 0.13 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.04 0.14 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.13 Step 126 of 2080 0.60 64 0.03 0.11 Step 130 of 2080 0.60 64 0.04 0.12 Step 134 of 2080 0.60 64 0.03 0.12 Step 138 of 2080 0.60 64 0.03 0.12 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.03 0.12 Step 150 of 2080 0.60 64 0.04 0.13 Step 154 of 2080 0.60 64 0.04 0.13 Step 158 of 2080 0.60 64 0.03 0.11 Step 162 of 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0.13 Step 506 of 2080 0.55 64 0.06 0.16 Step 510 of 2080 0.55 64 0.03 0.15 Step 514 of 2080 0.55 64 0.04 0.13 Step 518 of 2080 0.55 64 0.03 0.12 Step 522 of 2080 0.55 64 0.03 0.13 Step 526 of 2080 0.55 64 0.04 0.12 Step 530 of 2080 0.55 64 0.03 0.15 Step 534 of 2080 0.55 64 0.03 0.13 Step 538 of 2080 0.55 64 0.03 0.13 Step 542 of 2080 0.55 64 0.03 0.13 Step 546 of 2080 0.55 64 0.03 0.12 Step 550 of 2080 0.55 64 0.03 0.13 Step 554 of 2080 0.55 64 0.03 0.14 Step 558 of 2080 0.55 64 0.03 0.12 Step 562 of 2080 0.55 64 0.03 0.11 Step 566 of 2080 0.55 64 0.03 0.13 Step 570 of 2080 0.55 64 0.03 0.13 Step 574 of 2080 0.54 64 0.03 0.14 Step 578 of 2080 0.54 64 0.03 0.12 Step 582 of 2080 0.54 64 0.04 0.14 Step 586 of 2080 0.54 64 0.03 0.13 Step 590 of 2080 0.54 64 0.04 0.13 Step 594 of 2080 0.54 64 0.03 0.12 Step 598 of 2080 0.54 64 0.04 0.14 Step 602 of 2080 0.54 64 0.04 0.14 Step 606 of 2080 0.54 64 0.03 0.12 Step 610 of 2080 0.54 64 0.03 0.14 Step 614 of 2080 0.54 64 0.03 0.13 Step 618 of 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0.15 Step 962 of 2080 0.50 64 0.03 0.12 Step 966 of 2080 0.50 64 0.03 0.11 Step 970 of 2080 0.50 64 0.03 0.12 Step 974 of 2080 0.50 64 0.03 0.13 Step 978 of 2080 0.50 64 0.03 0.13 Step 982 of 2080 0.50 64 0.03 0.12 Step 986 of 2080 0.50 64 0.03 0.14 Step 990 of 2080 0.50 64 0.03 0.11 Step 994 of 2080 0.49 64 0.03 0.13 Step 998 of 2080 0.49 64 0.04 0.13 Step 1002 of 2080 0.49 64 0.03 0.13 Step 1006 of 2080 0.49 64 0.03 0.13 Step 1010 of 2080 0.49 64 0.03 0.14 Step 1014 of 2080 0.49 64 0.03 0.12 Step 1018 of 2080 0.49 64 0.03 0.12 Step 1022 of 2080 0.49 64 0.03 0.13 Step 1026 of 2080 0.49 64 0.04 0.12 Step 1030 of 2080 0.49 64 0.04 0.12 Step 1034 of 2080 0.49 64 0.03 0.12 Step 1038 of 2080 0.49 64 0.04 0.12 Step 1042 of 2080 0.49 64 0.03 0.15 Step 1046 of 2080 0.49 64 0.03 0.12 Step 1050 of 2080 0.49 64 0.03 0.13 Step 1054 of 2080 0.49 64 0.03 0.13 Step 1058 of 2080 0.49 64 0.04 0.13 Step 1062 of 2080 0.49 64 0.03 0.12 Step 1066 of 2080 0.49 64 0.02 0.11 Step 1070 of 2080 0.49 64 0.04 0.14 Step 1074 of 2080 0.49 64 0.03 0.14 Step 1078 of 2080 0.49 64 0.03 0.14 Step 1082 of 2080 0.48 64 0.03 0.12 Step 1086 of 2080 0.48 64 0.03 0.12 Step 1090 of 2080 0.48 64 0.03 0.12 Step 1094 of 2080 0.48 64 0.03 0.13 Step 1098 of 2080 0.48 64 0.04 0.14 Step 1102 of 2080 0.48 64 0.03 0.13 Step 1106 of 2080 0.48 64 0.03 0.14 Step 1110 of 2080 0.48 64 0.03 0.14 Step 1114 of 2080 0.48 64 0.04 0.12 Step 1118 of 2080 0.48 64 0.03 0.12 Step 1122 of 2080 0.48 64 0.03 0.12 Step 1126 of 2080 0.48 64 0.03 0.12 Step 1130 of 2080 0.48 64 0.04 0.13 Step 1134 of 2080 0.48 64 0.03 0.12 Step 1138 of 2080 0.48 64 0.02 0.13 Step 1142 of 2080 0.48 64 0.03 0.13 Step 1146 of 2080 0.48 64 0.03 0.12 Step 1150 of 2080 0.48 64 0.03 0.12 Step 1154 of 2080 0.48 64 0.03 0.12 Step 1158 of 2080 0.48 64 0.03 0.12 Step 1162 of 2080 0.48 64 0.03 0.13 Step 1166 of 2080 0.47 64 0.03 0.13 Step 1170 of 2080 0.47 64 0.03 0.13 Step 1174 of 2080 0.47 64 0.03 0.13 Step 1178 of 2080 0.47 64 0.03 0.13 Step 1182 of 2080 0.47 64 0.04 0.13 Step 1186 of 2080 0.47 64 0.03 0.13 Step 1190 of 2080 0.47 64 0.03 0.12 Step 1194 of 2080 0.47 64 0.03 0.12 Step 1198 of 2080 0.47 64 0.03 0.13 Step 1202 of 2080 0.47 64 0.03 0.13 Step 1206 of 2080 0.47 64 0.03 0.12 Step 1210 of 2080 0.47 64 0.04 0.13 Step 1214 of 2080 0.47 64 0.04 0.12 Step 1218 of 2080 0.47 64 0.03 0.13 Step 1222 of 2080 0.47 64 0.04 0.14 Step 1226 of 2080 0.47 64 0.04 0.14 Step 1230 of 2080 0.47 64 0.03 0.13 Step 1234 of 2080 0.47 64 0.02 0.12 Step 1238 of 2080 0.47 64 0.02 0.12 Step 1242 of 2080 0.47 64 0.03 0.11 Step 1246 of 2080 0.47 64 0.03 0.12 Step 1250 of 2080 0.47 64 0.03 0.15 Step 1254 of 2080 0.46 64 0.03 0.13 Step 1258 of 2080 0.46 64 0.03 0.12 Step 1262 of 2080 0.46 64 0.03 0.12 Step 1266 of 2080 0.46 64 0.03 0.12 Step 1270 of 2080 0.46 64 0.03 0.12 Step 1274 of 2080 0.46 64 0.03 0.12 Step 1278 of 2080 0.46 64 0.03 0.12 Step 1282 of 2080 0.46 64 0.03 0.13 Step 1286 of 2080 0.46 64 0.03 0.12 Step 1290 of 2080 0.46 64 0.02 0.12 Step 1294 of 2080 0.46 64 0.02 0.11 Step 1298 of 2080 0.46 64 0.02 0.11 Step 1302 of 2080 0.46 64 0.02 0.12 Step 1306 of 2080 0.46 64 0.02 0.11 Step 1310 of 2080 0.46 64 0.02 0.11 Step 1314 of 2080 0.46 64 0.02 0.12 Step 1318 of 2080 0.46 64 0.03 0.13 Step 1322 of 2080 0.46 64 0.03 0.14 Step 1326 of 2080 0.46 64 0.03 0.13 Step 1330 of 2080 0.46 64 0.03 0.11 Step 1334 of 2080 0.46 64 0.03 0.12 Step 1338 of 2080 0.46 64 0.03 0.12 Step 1342 of 2080 0.45 64 0.02 0.12 Step 1346 of 2080 0.45 64 0.03 0.13 Step 1350 of 2080 0.45 64 0.03 0.12 Step 1354 of 2080 0.45 64 0.03 0.12 Step 1358 of 2080 0.45 64 0.03 0.13 Step 1362 of 2080 0.45 64 0.03 0.13 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.03 0.12 Step 1374 of 2080 0.45 64 0.03 0.12 Step 1378 of 2080 0.45 64 0.03 0.13 Step 1382 of 2080 0.45 64 0.03 0.13 Step 1386 of 2080 0.45 64 0.03 0.13 Step 1390 of 2080 0.45 64 0.03 0.14 Step 1394 of 2080 0.45 64 0.03 0.13 Step 1398 of 2080 0.45 64 0.02 0.13 Step 1402 of 2080 0.45 64 0.02 0.12 Step 1406 of 2080 0.45 64 0.02 0.12 Step 1410 of 2080 0.45 64 0.03 0.13 Step 1414 of 2080 0.45 64 0.03 0.13 Step 1418 of 2080 0.45 64 0.03 0.13 Step 1422 of 2080 0.45 64 0.02 0.12 Step 1426 of 2080 0.45 64 0.02 0.12 Step 1430 of 2080 0.45 64 0.02 0.13 Step 1434 of 2080 0.44 64 0.02 0.12 Step 1438 of 2080 0.44 64 0.02 0.12 Step 1442 of 2080 0.44 64 0.02 0.12 Step 1446 of 2080 0.44 64 0.02 0.12 Step 1450 of 2080 0.44 64 0.02 0.12 Step 1454 of 2080 0.44 64 0.02 0.13 Step 1458 of 2080 0.44 64 0.03 0.13 Step 1462 of 2080 0.44 64 0.03 0.14 Step 1466 of 2080 0.44 64 0.03 0.14 Step 1470 of 2080 0.44 64 0.03 0.13 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.03 0.12 Step 1482 of 2080 0.44 64 0.03 0.13 Step 1486 of 2080 0.44 64 0.03 0.13 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.03 0.13 Step 1498 of 2080 0.44 64 0.03 0.14 Step 1502 of 2080 0.44 64 0.03 0.12 Step 1506 of 2080 0.44 64 0.03 0.14 Step 1510 of 2080 0.44 64 0.04 0.14 Step 1514 of 2080 0.44 64 0.03 0.13 Step 1518 of 2080 0.44 64 0.04 0.12 Step 1522 of 2080 0.44 64 0.03 0.13 Step 1526 of 2080 0.43 64 0.03 0.13 Step 1530 of 2080 0.43 64 0.03 0.14 Step 1534 of 2080 0.43 64 0.03 0.12 Step 1538 of 2080 0.43 64 0.02 0.11 Step 1542 of 2080 0.43 64 0.03 0.11 Step 1546 of 2080 0.43 64 0.03 0.11 Step 1550 of 2080 0.43 64 0.03 0.12 Step 1554 of 2080 0.43 64 0.03 0.12 Step 1558 of 2080 0.43 64 0.02 0.12 Step 1562 of 2080 0.43 64 0.02 0.11 Step 1566 of 2080 0.43 64 0.03 0.12 Step 1570 of 2080 0.43 64 0.03 0.12 Step 1574 of 2080 0.43 64 0.03 0.12 Step 1578 of 2080 0.43 64 0.03 0.12 Step 1582 of 2080 0.43 64 0.03 0.12 Step 1586 of 2080 0.43 64 0.03 0.12 Step 1590 of 2080 0.43 64 0.03 0.12 Step 1594 of 2080 0.43 64 0.03 0.12 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.11 Step 1610 of 2080 0.43 64 0.03 0.12 Step 1614 of 2080 0.43 64 0.03 0.12 Step 1618 of 2080 0.42 64 0.03 0.12 Step 1622 of 2080 0.42 64 0.03 0.12 Step 1626 of 2080 0.42 64 0.03 0.13 Step 1630 of 2080 0.42 64 0.03 0.12 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.02 0.11 Step 1642 of 2080 0.42 64 0.03 0.14 Step 1646 of 2080 0.42 64 0.03 0.14 Step 1650 of 2080 0.42 64 0.03 0.13 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.11 Step 1666 of 2080 0.42 64 0.03 0.13 Step 1670 of 2080 0.42 64 0.03 0.14 Step 1674 of 2080 0.42 64 0.02 0.11 Step 1678 of 2080 0.42 64 0.02 0.12 Step 1682 of 2080 0.42 64 0.02 0.12 Step 1686 of 2080 0.42 64 0.02 0.12 Step 1690 of 2080 0.42 64 0.03 0.13 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.03 0.12 Step 1702 of 2080 0.42 64 0.03 0.13 Step 1706 of 2080 0.42 64 0.03 0.14 Step 1710 of 2080 0.42 64 0.03 0.13 Step 1714 of 2080 0.41 64 0.02 0.12 Step 1718 of 2080 0.41 64 0.02 0.11 Step 1722 of 2080 0.41 64 0.02 0.12 Step 1726 of 2080 0.41 64 0.02 0.12 Step 1730 of 2080 0.41 64 0.02 0.11 Step 1734 of 2080 0.41 64 0.03 0.13 Step 1738 of 2080 0.41 64 0.02 0.11 Step 1742 of 2080 0.41 64 0.02 0.10 Step 1746 of 2080 0.41 64 0.02 0.12 Step 1750 of 2080 0.41 64 0.02 0.11 Step 1754 of 2080 0.41 64 0.02 0.12 Step 1758 of 2080 0.41 64 0.02 0.12 Step 1762 of 2080 0.41 64 0.02 0.11 Step 1766 of 2080 0.41 64 0.02 0.13 Step 1770 of 2080 0.41 64 0.02 0.11 Step 1774 of 2080 0.41 64 0.03 0.12 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.13 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.12 Step 1798 of 2080 0.41 64 0.03 0.12 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.41 64 0.03 0.12 Step 1810 of 2080 0.40 64 0.03 0.14 Step 1814 of 2080 0.40 64 0.03 0.13 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.13 Step 1826 of 2080 0.40 64 0.04 0.13 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.02 0.12 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.11 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.02 0.11 Step 1854 of 2080 0.40 64 0.04 0.15 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.13 Step 1874 of 2080 0.40 64 0.03 0.12 Step 1878 of 2080 0.40 64 0.03 0.13 Step 1882 of 2080 0.40 64 0.04 0.13 Step 1886 of 2080 0.40 64 0.03 0.13 Step 1890 of 2080 0.40 64 0.04 0.12 Step 1894 of 2080 0.40 64 0.05 0.13 Step 1898 of 2080 0.40 64 0.03 0.11 Step 1902 of 2080 0.40 64 0.04 0.13 Step 1906 of 2080 0.39 64 0.04 0.13 Step 1910 of 2080 0.39 64 0.04 0.15 Step 1914 of 2080 0.39 64 0.04 0.14 Step 1918 of 2080 0.39 64 0.04 0.13 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.13 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.03 0.14 Step 1938 of 2080 0.39 64 0.03 0.13 Step 1942 of 2080 0.39 64 0.04 0.12 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.11 Step 1954 of 2080 0.39 64 0.03 0.11 Step 1958 of 2080 0.39 64 0.03 0.11 Step 1962 of 2080 0.39 64 0.04 0.13 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.04 0.13 Step 1974 of 2080 0.39 64 0.04 0.12 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.03 0.13 Step 1994 of 2080 0.39 64 0.03 0.13 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.11 Step 2006 of 2080 0.38 64 0.03 0.11 Step 2010 of 2080 0.38 64 0.03 0.11 Step 2014 of 2080 0.38 64 0.03 0.11 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.04 0.12 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.12 Step 2042 of 2080 0.38 64 0.03 0.11 Step 2046 of 2080 0.38 32 0.02 0.05 Step 2050 of 2080 0.38 32 0.01 0.05 Step 2054 of 2080 0.38 32 0.01 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.01 0.05 Step 2066 of 2080 0.38 32 0.01 0.05 Step 2070 of 2080 0.38 32 0.01 0.05 Step 2074 of 2080 0.38 32 0.01 0.05 Step 2078 of 2080 0.38 32 0.02 0.06 ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.27 .0004 1 0.93 1.19 .0005 1 0.93 1.22 .0006 1 0.93 1.12 .0007 1 0.93 1.20 .0008 1 0.93 1.24 .0009 1 0.93 1.22 .0010 1 0.93 1.21 .0011 1 0.93 1.19 .0012 2 0.93 1.12 .0013 2 0.93 1.26 .0014 2 0.93 1.24 .0015 2 0.93 1.41 .0016 1 0.93 1.23 .0017 1 0.93 1.33 .0018 1 0.93 1.33 .0019 1 0.93 1.24 .0020 1 0.93 1.24 .0021 1 0.93 1.27 .0022 2 0.93 1.38 .0023 1 0.93 1.28 .0024 1 0.93 1.40 .0025 1 0.93 1.36 .0026 2 0.93 1.40 .0027 1 0.93 1.48 .0028 2 0.93 1.53 .0029 1 0.93 1.47 .0030 1 0.93 1.43 .0031 1 0.94 1.49 .0032 1 0.94 1.43 .0033 2 0.94 1.46 .0034 1 0.94 1.59 .0035 1 0.94 1.54 .0036 1 0.94 1.58 .0037 1 0.94 1.63 .0038 1 0.94 1.58 .0039 1 0.94 1.59 .0040 1 0.94 1.54 .0041 1 0.94 1.67 .0042 1 0.94 1.62 .0043 1 0.94 1.65 .0044 1 0.94 1.63 .0045 1 0.94 1.74 .0046 1 0.94 1.66 .0047 1 0.94 1.69 .0048 1 0.94 1.70 .0049 1 0.94 1.71 .0050 2 0.94 1.81 .0051 3 0.94 1.64 .0052 2 0.94 1.80 .0053 1 0.94 1.83 .0054 1 0.94 1.83 .0055 3 0.94 1.70 .0056 1 0.94 1.92 .0057 1 0.94 1.79 .0058 1 0.94 1.76 .0059 1 0.94 1.84 .0060 1 0.94 1.83 .0061 1 0.94 1.80 .0062 1 0.94 1.78 .0063 1 0.94 1.61 .0064 1 0.94 1.76 .0065 1 0.94 1.81 .0066 1 0.94 1.90 .0067 1 0.94 1.81 .0068 1 0.94 1.70 .0069 1 0.94 1.87 .0070 1 0.94 1.92 .0071 3 0.94 1.74 .0072 2 0.94 2.40 .0073 1 0.94 1.80 .0074 1 0.94 1.80 .0075 1 0.94 1.91 .0076 1 0.94 1.89 .0077 1 0.94 1.92 .0078 1 0.95 1.78 .0079 1 0.95 1.74 .0080 1 0.95 1.84 .0081 1 0.95 1.88 .0082 1 0.95 1.91 .0083 2 0.95 1.74 .0084 1 0.95 1.89 .0085 1 0.95 1.84 .0086 1 0.95 1.72 .0087 1 0.95 1.89 .0088 1 0.95 1.84 .0089 1 0.95 1.83 .0090 1 0.95 1.79 .0091 1 0.95 1.93 .0092 1 0.95 1.91 .0093 2 0.95 1.93 .0094 1 0.95 2.37 .0095 2 0.95 1.90 .0096 1 0.95 1.89 .0097 1 0.95 1.80 .0098 1 0.95 1.94 .0099 1 0.95 1.85 .0100 1 0.95 1.86 .0101 1 0.95 1.84 .0102 1 0.95 1.82 .0103 1 0.95 1.83 .0104 1 0.95 1.87 .0105 1 0.95 1.77 .0106 1 0.95 1.87 .0107 1 0.95 1.85 .0108 1 0.95 1.97 .0109 1 0.95 1.86 .0110 1 0.95 1.82 .0111 1 0.95 1.84 .0112 1 0.95 1.87 .0113 1 0.95 1.87 .0114 1 0.95 1.78 .0115 1 0.95 1.86 .0116 1 0.95 1.87 .0117 1 0.95 1.81 .0118 1 0.95 1.97 .0119 1 0.95 1.79 .0120 2 0.95 1.90 .0121 1 0.95 1.87 .0122 1 0.95 1.84 .0123 1 0.95 1.76 .0124 1 0.95 1.91 .0125 1 0.95 1.76 .0126 1 0.95 1.84 .0127 1 0.95 1.82 .0128 1 0.95 1.92 .0129 2 0.95 1.90 .0130 1 0.95 1.79 .0131 1 0.95 1.78 .0132 1 0.95 1.85 .0133 2 0.95 1.89 .0134 1 0.95 1.81 .0135 1 0.95 1.84 .0136 1 0.95 1.91 .0137 1 0.95 1.73 .0138 1 0.95 1.81 .0139 1 0.95 1.87 .0140 1 0.95 1.87 .0141 1 0.95 1.92 .0142 1 0.95 1.82 .0143 1 0.95 1.76 .0144 1 0.95 1.76 .0145 1 0.95 1.73 .0146 1 0.96 1.82 .0147 3 0.96 1.70 .0148 1 0.96 1.74 .0149 1 0.96 1.71 .0150 1 0.96 1.85 .0151 1 0.96 1.81 .0152 1 0.96 1.78 .0153 1 0.96 1.83 .0154 1 0.96 1.82 .0155 1 0.96 1.78 .0156 1 0.96 1.80 .0157 1 0.96 1.89 .0158 1 0.96 1.83 .0159 1 0.96 1.80 .0160 1 0.96 1.83 .0161 1 0.96 1.80 .0162 1 0.96 1.79 .0163 1 0.96 1.77 .0164 3 0.96 1.88 .0165 3 0.96 1.87 .0166 1 0.96 1.73 .0167 1 0.96 1.81 .0168 1 0.96 1.82 .0169 1 0.96 1.91 .0170 1 0.96 1.84 .0171 1 0.96 1.79 .0172 2 0.96 1.84 .0173 1 0.96 1.91 .0174 1 0.96 1.79 .0175 2 0.96 1.89 .0176 1 0.96 1.80 .0177 1 0.96 1.80 .0178 3 0.96 1.81 .0179 1 0.96 2.28 .0180 2 0.96 1.89 .0181 1 0.96 1.85 .0182 1 0.96 1.77 .0183 1 0.96 1.89 .0184 1 0.96 1.81 .0185 1 0.96 1.74 .0186 1 0.96 1.91 .0187 1 0.96 1.85 .0188 1 0.96 1.93 .0189 1 0.96 1.82 .0190 1 0.96 1.86 .0191 1 0.96 1.82 .0192 1 0.96 1.84 .0193 1 0.96 1.93 .0194 1 0.96 1.82 .0195 1 0.96 1.81 .0196 1 0.96 1.89 .0197 1 0.96 1.84 .0198 1 0.96 1.79 .0199 1 0.96 1.80 .0200 1 0.96 1.88 .0201 1 0.96 1.79 .0202 1 0.96 2.02 .0203 2 0.96 2.16 .0204 1 0.96 1.87 .0205 1 0.96 1.80 .0206 1 0.96 1.81 .0207 1 0.96 1.88 .0208 3 0.96 2.06 .0209 2 0.96 2.15 .0210 1 0.96 1.87 .0211 1 0.96 2.04 .0212 1 0.96 1.91 .0213 1 0.96 1.91 .0214 1 0.96 1.92 .0215 1 0.96 1.95 .0216 1 0.96 2.09 .0217 1 0.96 2.05 .0218 1 0.96 2.05 .0219 2 0.96 1.92 .0220 1 0.96 2.10 .0221 1 0.96 1.92 .0222 2 0.96 2.18 .0223 2 0.96 2.27 .0224 2 0.96 2.30 .0225 1 0.96 2.11 .0226 1 0.96 2.00 .0227 1 0.96 2.04 .0228 1 0.96 2.17 .0229 1 0.96 2.17 .0230 3 0.96 2.12 .0231 2 0.96 2.16 .0232 1 0.96 2.33 .0233 1 0.96 2.18 .0234 2 0.96 2.16 .0235 1 0.96 2.16 .0236 1 0.96 2.26 .0237 1 0.96 2.25 .0238 1 0.96 2.19 .0239 1 0.96 2.26 .0240 1 0.96 2.25 .0241 2 0.96 2.31 .0242 1 0.96 2.43 .0243 1 0.97 2.30 .0244 1 0.97 2.41 .0245 2 0.97 2.34 .0246 2 0.97 2.43 .0247 1 0.97 2.36 .0248 1 0.97 2.47 .0249 1 0.97 2.62 .0250 1 0.97 2.38 .0251 1 0.97 2.42 .0252 1 0.97 2.55 .0253 1 0.97 2.54 .0254 1 0.97 2.59 .0255 1 0.97 2.51 .0256 1 0.97 2.68 .0257 1 0.97 2.67 .0258 1 0.97 2.57 .0259 2 0.97 2.66 .0260 1 0.97 2.68 .0261 1 0.97 2.64 .0262 1 0.97 2.59 .0263 1 0.97 2.70 .0264 1 0.97 2.77 .0265 1 0.97 2.71 .0266 1 0.97 2.66 .0267 1 0.97 2.77 .0268 1 0.97 2.97 .0269 3 0.97 2.71 .0270 1 0.97 2.72 .0271 1 0.97 3.03 .0272 1 0.97 2.98 .0273 1 0.97 2.80 .0274 1 0.97 2.78 .0275 1 0.97 2.87 .0276 1 0.97 3.11 .0277 1 0.97 2.95 .0278 1 0.97 2.88 .0279 1 0.97 3.07 .0280 1 0.97 3.00 .0281 1 0.97 2.95 .0282 1 0.97 3.13 .0283 1 0.97 2.99 .0284 1 0.97 3.12 .0285 1 0.97 3.24 .0286 1 0.97 3.07 .0287 1 0.97 3.08 .0288 1 0.97 3.09 .0289 1 0.97 3.19 .0290 1 0.97 3.35 .0291 1 0.97 3.18 .0292 1 0.97 3.14 .0293 1 0.97 3.26 .0294 1 0.97 3.32 .0295 1 0.97 3.29 .0296 1 0.97 3.25 .0297 1 0.97 3.54 .0298 1 0.97 3.33 .0299 1 0.97 3.24 .0300 1 0.97 3.63 .0301 2 0.97 3.40 .0302 1 0.97 3.45 .0303 1 0.97 3.39 .0304 1 0.97 3.50 .0305 1 0.97 3.52 .0306 1 0.97 3.46 .0307 1 0.97 3.61 .0308 1 0.97 3.69 .0309 1 0.97 3.63 .0310 1 0.97 3.60 .0311 1 0.97 3.50 .0312 1 0.97 3.70 .0313 1 0.97 3.62 .0314 1 0.97 3.49 .0315 1 0.97 3.80 .0316 1 0.97 3.73 .0317 1 0.97 3.82 .0318 1 0.97 3.72 .0319 1 0.97 3.89 .0320 1 0.97 3.67 .0321 2 0.97 3.94 .0322 2 0.97 3.88 .0323 1 0.97 3.76 .0324 1 0.97 3.85 .0325 1 0.97 3.88 .0326 1 0.97 3.76 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0.99 2.38 .1826 1 0.99 2.56 .1827 1 0.99 2.50 .1828 1 0.99 2.62 .1829 1 0.99 2.52 .1830 1 0.99 2.44 .1831 1 0.99 2.47 .1832 1 0.99 2.61 .1833 1 0.99 2.48 .1834 3 0.99 2.79 .1835 2 0.99 2.56 .1836 2 0.99 2.68 .1837 2 0.99 2.68 .1838 1 0.99 2.92 .1839 1 0.99 2.69 .1840 1 0.99 2.55 .1841 1 0.99 2.43 .1842 1 0.99 2.39 .1843 1 0.99 2.42 .1844 1 0.99 2.35 .1845 1 0.99 2.49 .1846 1 0.99 2.37 .1847 1 0.99 2.47 .1848 1 0.99 2.44 .1849 1 0.99 2.39 .1850 1 0.99 2.42 .1851 1 0.99 2.52 .1852 1 0.99 2.46 .1853 1 0.99 2.59 .1854 1 0.99 2.36 .1855 1 0.98 2.56 .1856 1 0.98 2.65 .1857 1 0.98 2.68 .1858 1 0.98 2.77 .1859 1 0.98 2.83 .1860 1 0.98 2.83 .1861 1 0.98 2.84 .1862 2 0.98 2.69 .1863 1 0.98 2.69 .1864 1 0.98 2.75 .1865 1 0.98 2.95 .1866 1 0.98 2.53 .1867 1 0.98 2.43 .1868 1 0.98 2.42 .1869 2 0.98 2.57 .1870 1 0.98 2.57 .1871 1 0.98 2.38 .1872 1 0.98 2.30 .1873 1 0.98 2.33 .1874 1 0.98 2.30 .1875 1 0.98 2.29 .1876 1 0.98 2.23 .1877 1 0.98 2.39 .1878 1 0.98 2.71 .1879 1 0.98 2.93 .1880 1 0.98 2.33 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0.98 1.85 .1937 1 0.98 2.01 .1938 1 0.98 2.00 .1939 1 0.98 1.89 .1940 1 0.98 1.91 .1941 1 0.98 1.83 .1942 1 0.98 2.02 .1943 1 0.98 2.07 .1944 1 0.98 1.93 .1945 1 0.98 1.92 .1946 1 0.98 1.92 .1947 1 0.98 1.93 .1948 1 0.98 1.84 .1949 2 0.98 1.99 .1950 1 0.98 1.95 .1951 1 0.98 1.97 .1952 1 0.98 2.04 .1953 2 0.98 2.00 .1954 1 0.98 1.97 .1955 1 0.98 1.91 .1956 1 0.98 2.03 .1957 1 0.98 2.08 .1958 1 0.98 2.16 .1959 3 0.98 2.22 .1960 1 0.98 1.94 .1961 1 0.98 1.93 .1962 2 0.98 1.79 .1963 2 0.98 2.08 .1964 1 0.98 2.04 .1965 1 0.98 1.93 .1966 1 0.98 2.00 .1967 1 0.98 1.99 .1968 1 0.98 2.02 .1969 2 0.98 1.92 .1970 2 0.98 1.93 .1971 1 0.98 1.85 .1972 1 0.98 1.85 .1973 1 0.98 1.97 .1974 2 0.98 1.98 .1975 2 0.98 1.97 .1976 1 0.98 2.02 .1977 1 0.98 2.02 .1978 1 0.98 1.99 .1979 1 0.98 1.92 .1980 1 0.98 2.00 .1981 1 0.98 1.95 .1982 1 0.98 1.94 .1983 1 0.98 2.11 .1984 1 0.98 1.97 .1985 1 0.98 2.01 .1986 1 0.98 1.78 .1987 1 0.98 1.87 .1988 1 0.98 1.92 .1989 1 0.98 1.95 .1990 1 0.98 1.99 .1991 1 0.98 1.86 .1992 2 0.98 1.82 .1993 1 0.98 1.80 .1994 1 0.98 1.91 .1995 1 0.98 1.87 .1996 1 0.98 2.18 .1997 1 0.98 2.38 .1998 2 0.98 1.92 .1999 2 0.98 2.33 .2000 2 0.98 2.19 .2001 3 0.98 1.95 .2002 2 0.98 1.99 .2003 1 0.98 1.98 .2004 1 0.98 1.82 .2005 1 0.98 1.70 .2006 1 0.98 1.86 .2007 1 0.98 1.87 .2008 2 0.98 1.84 .2009 1 0.98 1.90 .2010 1 0.98 1.94 .2011 2 0.98 1.70 .2012 1 0.98 1.71 .2013 3 0.98 1.75 .2014 4 0.98 1.73 .2015 4 0.98 1.97 .2016 2 0.98 2.09 .2017 1 0.98 1.75 .2018 1 0.98 1.86 .2019 1 0.98 1.89 .2020 1 0.98 1.68 .2021 1 0.98 1.89 .2022 1 0.98 1.72 .2023 3 0.98 1.78 .2024 1 0.98 1.73 .2025 1 0.98 1.71 .2026 1 0.98 1.68 .2027 1 0.98 1.70 .2028 1 0.98 1.75 .2029 1 0.98 1.70 .2030 1 0.98 1.84 .2031 1 0.98 1.64 .2032 1 0.98 1.69 .2033 1 0.98 1.72 .2034 1 0.98 1.77 .2035 1 0.98 1.74 .2036 1 0.98 1.62 .2037 1 0.98 1.81 .2038 1 0.98 1.73 .2039 1 0.98 1.68 .2040 1 0.98 1.73 .2041 1 0.98 1.69 .2042 1 0.98 1.81 .2043 1 0.98 1.70 .2044 1 0.98 1.88 .2045 1 0.98 1.94 .2046 2 0.98 1.82 .2047 1 0.98 1.92 EXTRACT_IMAGE: b1: masked 156 pixels SPCALIB: b1: First extraction chi^2 0.00000 11.7663 SPCALIB: b1: Second extraction chi^2 0.00000 7.67461 SUPERFLAT: b1: Creating superflat from 313 fibers highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b1: Number of fiberflat points LE 0 = 8418 SPCALIB: b1: Elapsed time = 450. seconds SPREDUCE: b1: Best flat = sdR-b1-00034673.fit SPREDUCE: b1: Best arc = sdR-b1-00034674.fit QAPLOT_ARCLINE: b1: Number of arc lines: 15 QAPLOT_ARCLINE: b1: Number of arc lines below 4000 Ang: 1 QAPLOT_ARCLINE: b1: Arcline 0: lambda= 3983.84 Ang, median dev= 0.020 pix, sigma dev= 0.221 pix QAPLOT_ARCLINE: b1: Arcline 1: lambda= 4046.57 Ang, median dev= -0.006 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 2: lambda= 4077.84 Ang, median dev= 0.026 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: b1: Arcline 3: lambda= 4358.34 Ang, median dev= -0.016 pix, sigma dev= 0.006 pix QAPLOT_ARCLINE: b1: Arcline 4: lambda= 4678.15 Ang, median dev= 0.041 pix, sigma dev= 0.032 pix QAPLOT_ARCLINE: b1: Arcline 5: lambda= 4799.91 Ang, median dev= 0.018 pix, sigma dev= 0.020 pix QAPLOT_ARCLINE: b1: Arcline 6: lambda= 4916.07 Ang, median dev= 0.035 pix, sigma dev= 0.055 pix QAPLOT_ARCLINE: b1: Arcline 7: lambda= 5085.82 Ang, median dev= -0.005 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: b1: Arcline 8: lambda= 5460.75 Ang, median dev= -0.023 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: b1: Arcline 9: lambda= 5769.60 Ang, median dev= 0.005 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 10: lambda= 5790.66 Ang, median dev= 0.019 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 11: lambda= 5852.49 Ang, median dev= 0.010 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b1: Arcline 12: lambda= 5881.90 Ang, median dev= 0.008 pix, sigma dev= 0.012 pix QAPLOT_ARCLINE: b1: Arcline 13: lambda= 5944.83 Ang, median dev= -0.009 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: b1: Arcline 14: lambda= 6030.00 Ang, median dev= -0.024 pix, sigma dev= 0.016 pix SPREDUCE: sdR-b1-00034675.fit: Reading object sdR-b1-00034675.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034675.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034675.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034675.fit: Measured read-noise in DN for amp# 2 = 3.68960 SDSSPROC: sdR-b1-00034675.fit: Measured bias value in DN for amp# 2 = 1217.71 SDSSPROC: sdR-b1-00034675.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034675.fit: Amp #2 Number of pix below bias-5*sigma= 1198. DN is 0 SDSSPROC: sdR-b1-00034675.fit: Measured read-noise in DN for amp# 3 = 2.93346 SDSSPROC: sdR-b1-00034675.fit: Measured bias value in DN for amp# 3 = 1021.86 SDSSPROC: sdR-b1-00034675.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034675.fit: Amp #3 Number of pix below bias-5*sigma= 1006. DN is 0 SDSSPROC: sdR-b1-00034675.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034675.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034675.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034675.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034675.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b1-00034675.fit: Science 25-th-percentile = 63.6870 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EXTRACT_OBJECT: sdR-b1-00034675.fit: Whopping fibers: -1 EXTRACT_OBJECT: sdR-b1-00034675.fit: Median counts in all fibers = 1463.58 EXTRACT_OBJECT: sdR-b1-00034675.fit: Number of bright fibers = 0 EXTRACT_OBJECT: sdR-b1-00034675.fit: Sky fiber median 253.714 EXTRACT_OBJECT: sdR-b1-00034675.fit: 5% and 95% count levels 181.876 4028.15 MATCH_TRACE: sdR-b1-00034675.fit: Iteration: 0 Pixels Rejected: 2405 Finished? 0 MATCH_TRACE: sdR-b1-00034675.fit: Iteration: 1 Pixels Rejected: 31 Finished? 0 MATCH_TRACE: sdR-b1-00034675.fit: Iteration: 2 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b1-00034675.fit: Shifting traces by match_trace -0.00537109 EXTRACT_OBJECT: sdR-b1-00034675.fit: Extracting frame sdR-b1-00034675.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034675.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.42 .0004 1 0.93 1.36 .0005 1 0.93 1.45 .0006 1 0.93 1.30 .0007 1 0.93 1.39 .0008 2 0.93 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1 0.98 1.48 .1952 4 0.98 1.60 .1953 3 0.98 1.54 .1954 1 0.98 1.44 .1955 2 0.98 1.47 .1956 3 0.98 1.59 .1957 3 0.98 1.45 .1958 3 0.98 1.43 .1959 3 0.98 1.37 .1960 2 0.98 1.33 .1961 1 0.98 1.35 .1962 1 0.98 1.33 .1963 1 0.98 1.30 .1964 2 0.98 1.32 .1965 2 0.98 1.33 .1966 1 0.98 1.37 .1967 1 0.98 1.29 .1968 2 0.98 1.30 .1969 2 0.98 1.38 .1970 1 0.98 1.37 .1971 2 0.98 1.31 .1972 2 0.98 1.38 .1973 2 0.98 1.38 .1974 2 0.98 1.37 .1975 4 0.98 1.32 .1976 2 0.98 1.52 .1977 1 0.98 1.46 .1978 1 0.98 1.45 .1979 1 0.98 1.34 .1980 1 0.98 1.24 .1981 1 0.98 1.47 .1982 3 0.98 1.47 .1983 3 0.98 1.51 .1984 3 0.98 1.51 .1985 2 0.98 1.50 .1986 1 0.98 1.37 .1987 3 0.98 1.40 .1988 4 0.98 1.44 .1989 3 0.98 1.45 .1990 1 0.98 1.46 .1991 1 0.98 1.48 .1992 3 0.98 1.45 .1993 3 0.98 1.39 .1994 1 0.98 1.42 .1995 1 0.98 1.37 .1996 1 0.98 1.48 .1997 1 0.98 1.57 .1998 3 0.98 1.49 .1999 1 0.98 1.46 .2000 1 0.98 1.41 .2001 1 0.98 1.40 .2002 1 0.98 1.40 .2003 1 0.98 1.42 .2004 2 0.98 1.50 .2005 3 0.98 1.48 .2006 1 0.98 1.53 .2007 1 0.98 1.40 .2008 1 0.98 1.31 .2009 1 0.98 1.52 .2010 4 0.98 1.47 .2011 2 0.98 1.48 .2012 2 0.98 1.24 .2013 1 0.98 1.24 .2014 1 0.98 1.39 .2015 1 0.98 1.32 .2016 1 0.98 1.30 .2017 1 0.98 1.31 .2018 2 0.98 1.34 .2019 2 0.98 1.33 .2020 1 0.98 1.31 .2021 1 0.98 1.22 .2022 1 0.98 1.33 .2023 2 0.98 1.27 .2024 3 0.98 1.26 .2025 1 0.98 1.19 .2026 1 0.98 1.23 .2027 1 0.98 1.35 .2028 2 0.98 1.38 .2029 3 0.98 1.37 .2030 1 0.98 1.38 .2031 1 0.98 1.31 .2032 1 0.98 1.23 .2033 1 0.98 1.30 .2034 1 0.98 1.29 .2035 1 0.98 1.34 .2036 1 0.98 1.43 .2037 1 0.98 1.36 .2038 1 0.98 1.34 .2039 3 0.98 1.34 .2040 3 0.98 1.28 .2041 2 0.98 1.40 .2042 1 0.98 1.42 .2043 2 0.98 1.42 .2044 1 0.98 1.34 .2045 1 0.98 1.29 .2046 2 0.98 1.46 .2047 2 0.98 1.40 EXTRACT_IMAGE: sdR-b1-00034675.fit: masked 1848 pixels EXTRACT_OBJECT: sdR-b1-00034675.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034675.fit: WARNING: Scattered light median = 21.9134 electrons QAPLOT_SCATLIGHT: sdR-b1-00034675.fit: WARNING: Scattered light max = 69.6386 electrons EXTRACT_OBJECT: sdR-b1-00034675.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034675.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034675.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034675.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.02 0.07 Step 6 of 2080 0.62 64 0.03 0.14 Step 10 of 2080 0.61 64 0.03 0.15 Step 14 of 2080 0.61 64 0.03 0.14 Step 18 of 2080 0.61 64 0.03 0.12 Step 22 of 2080 0.61 64 0.03 0.13 Step 26 of 2080 0.61 64 0.03 0.13 Step 30 of 2080 0.61 64 0.03 0.14 Step 34 of 2080 0.61 64 0.03 0.11 Step 38 of 2080 0.61 64 0.03 0.11 Step 42 of 2080 0.61 64 0.03 0.12 Step 46 of 2080 0.61 64 0.04 0.12 Step 50 of 2080 0.61 64 0.04 0.12 Step 54 of 2080 0.61 64 0.04 0.12 Step 58 of 2080 0.61 64 0.03 0.13 Step 62 of 2080 0.61 64 0.03 0.13 Step 66 of 2080 0.61 64 0.05 0.14 Step 70 of 2080 0.61 64 0.05 0.14 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of 2080 0.58 64 0.03 0.13 Step 306 of 2080 0.58 64 0.03 0.14 Step 310 of 2080 0.58 64 0.03 0.12 Step 314 of 2080 0.58 64 0.03 0.13 Step 318 of 2080 0.58 64 0.03 0.12 Step 322 of 2080 0.58 64 0.03 0.12 Step 326 of 2080 0.58 64 0.03 0.11 Step 330 of 2080 0.57 64 0.03 0.11 Step 334 of 2080 0.57 64 0.03 0.12 Step 338 of 2080 0.57 64 0.05 0.13 Step 342 of 2080 0.57 64 0.04 0.12 Step 346 of 2080 0.57 64 0.04 0.13 Step 350 of 2080 0.57 64 0.04 0.15 Step 354 of 2080 0.57 64 0.04 0.13 Step 358 of 2080 0.57 64 0.03 0.12 Step 362 of 2080 0.57 64 0.03 0.12 Step 366 of 2080 0.57 64 0.03 0.12 Step 370 of 2080 0.57 64 0.03 0.12 Step 374 of 2080 0.57 64 0.04 0.12 Step 378 of 2080 0.57 64 0.03 0.12 Step 382 of 2080 0.57 64 0.03 0.14 Step 386 of 2080 0.57 64 0.04 0.13 Step 390 of 2080 0.57 64 0.03 0.13 Step 394 of 2080 0.57 64 0.03 0.12 Step 398 of 2080 0.57 64 0.04 0.14 Step 402 of 2080 0.57 64 0.03 0.13 Step 406 of 2080 0.57 64 0.03 0.13 Step 410 of 2080 0.57 64 0.03 0.13 Step 414 of 2080 0.56 64 0.03 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0.12 Step 1654 of 2080 0.42 64 0.03 0.13 Step 1658 of 2080 0.42 64 0.03 0.13 Step 1662 of 2080 0.42 64 0.03 0.13 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.03 0.14 Step 1674 of 2080 0.42 64 0.03 0.13 Step 1678 of 2080 0.42 64 0.05 0.16 Step 1682 of 2080 0.42 64 0.04 0.14 Step 1686 of 2080 0.42 64 0.03 0.12 Step 1690 of 2080 0.42 64 0.03 0.12 Step 1694 of 2080 0.42 64 0.03 0.13 Step 1698 of 2080 0.42 64 0.03 0.12 Step 1702 of 2080 0.42 64 0.03 0.12 Step 1706 of 2080 0.42 64 0.03 0.12 Step 1710 of 2080 0.42 64 0.03 0.12 Step 1714 of 2080 0.41 64 0.03 0.13 Step 1718 of 2080 0.41 64 0.02 0.11 Step 1722 of 2080 0.41 64 0.03 0.13 Step 1726 of 2080 0.41 64 0.04 0.14 Step 1730 of 2080 0.41 64 0.03 0.14 Step 1734 of 2080 0.41 64 0.03 0.13 Step 1738 of 2080 0.41 64 0.02 0.12 Step 1742 of 2080 0.41 64 0.03 0.13 Step 1746 of 2080 0.41 64 0.02 0.11 Step 1750 of 2080 0.41 64 0.02 0.11 Step 1754 of 2080 0.41 64 0.02 0.11 Step 1758 of 2080 0.41 64 0.02 0.12 Step 1762 of 2080 0.41 64 0.02 0.11 Step 1766 of 2080 0.41 64 0.02 0.11 Step 1770 of 2080 0.41 64 0.02 0.11 Step 1774 of 2080 0.41 64 0.03 0.13 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.03 0.13 Step 1786 of 2080 0.41 64 0.03 0.12 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.02 0.11 Step 1798 of 2080 0.41 64 0.03 0.11 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.41 64 0.03 0.14 Step 1810 of 2080 0.40 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.03 0.13 Step 1818 of 2080 0.40 64 0.04 0.14 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.03 0.11 Step 1834 of 2080 0.40 64 0.03 0.12 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.12 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.03 0.12 Step 1858 of 2080 0.40 64 0.03 0.11 Step 1862 of 2080 0.40 64 0.03 0.11 Step 1866 of 2080 0.40 64 0.02 0.11 Step 1870 of 2080 0.40 64 0.03 0.11 Step 1874 of 2080 0.40 64 0.03 0.13 Step 1878 of 2080 0.40 64 0.04 0.13 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.03 0.14 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.12 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.03 0.12 Step 1906 of 2080 0.39 64 0.04 0.14 Step 1910 of 2080 0.39 64 0.04 0.13 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.14 Step 1922 of 2080 0.39 64 0.03 0.13 Step 1926 of 2080 0.39 64 0.02 0.12 Step 1930 of 2080 0.39 64 0.02 0.11 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.02 0.12 Step 1942 of 2080 0.39 64 0.02 0.12 Step 1946 of 2080 0.39 64 0.02 0.12 Step 1950 of 2080 0.39 64 0.02 0.11 Step 1954 of 2080 0.39 64 0.02 0.11 Step 1958 of 2080 0.39 64 0.02 0.11 Step 1962 of 2080 0.39 64 0.02 0.12 Step 1966 of 2080 0.39 64 0.02 0.12 Step 1970 of 2080 0.39 64 0.03 0.13 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.02 0.12 Step 1986 of 2080 0.39 64 0.04 0.13 Step 1990 of 2080 0.39 64 0.02 0.11 Step 1994 of 2080 0.39 64 0.03 0.14 Step 1998 of 2080 0.39 64 0.03 0.12 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.38 64 0.03 0.13 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.03 0.13 Step 2026 of 2080 0.38 64 0.03 0.11 Step 2030 of 2080 0.38 64 0.03 0.14 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.12 Step 2042 of 2080 0.38 64 0.05 0.15 Step 2046 of 2080 0.38 32 0.02 0.06 Step 2050 of 2080 0.38 32 0.02 0.06 Step 2054 of 2080 0.38 32 0.03 0.07 Step 2058 of 2080 0.38 32 0.01 0.06 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.02 0.06 Step 2074 of 2080 0.38 32 0.02 0.06 Step 2078 of 2080 0.38 32 0.02 0.06 EXTRACT_OBJECT: sdR-b1-00034675.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.93 0.00 .0001 0 0.93 0.00 .0002 0 0.93 0.00 .0003 1 0.93 1.29 .0004 1 0.93 1.22 .0005 1 0.93 1.27 .0006 1 0.93 1.13 .0007 1 0.93 1.22 .0008 2 0.93 1.17 .0009 3 0.93 1.20 .0010 1 0.93 1.22 .0011 1 0.93 1.10 .0012 1 0.93 1.16 .0013 4 0.93 1.09 .0014 3 0.93 1.23 .0015 1 0.93 1.18 .0016 2 0.93 1.19 .0017 1 0.93 1.16 .0018 1 0.93 1.07 .0019 3 0.93 1.23 .0020 1 0.93 1.36 .0021 2 0.93 1.13 .0022 3 0.93 1.23 .0023 1 0.93 1.24 .0024 1 0.93 1.11 .0025 3 0.93 1.20 .0026 2 0.93 1.38 .0027 4 0.94 1.33 .0028 2 0.94 1.25 .0029 3 0.94 1.30 .0030 2 0.94 1.36 .0031 1 0.94 1.32 .0032 3 0.94 1.30 .0033 3 0.94 1.39 .0034 4 0.94 1.39 .0035 3 0.94 1.39 .0036 1 0.94 1.37 .0037 1 0.94 1.31 .0038 2 0.94 1.46 .0039 3 0.94 1.51 .0040 1 0.94 1.30 .0041 3 0.94 1.30 .0042 1 0.94 1.41 .0043 1 0.94 1.30 .0044 1 0.94 1.36 .0045 1 0.94 1.37 .0046 1 0.94 1.36 .0047 3 0.94 1.44 .0048 3 0.94 1.38 .0049 3 0.94 1.38 .0050 4 0.94 1.45 .0051 3 0.94 1.54 .0052 3 0.94 1.52 .0053 1 0.94 1.62 .0054 3 0.94 1.51 .0055 3 0.94 1.41 .0056 4 0.94 1.50 .0057 4 0.94 1.40 .0058 2 0.94 1.60 .0059 1 0.94 1.52 .0060 1 0.94 1.52 .0061 1 0.94 1.43 .0062 2 0.94 1.44 .0063 2 0.94 1.51 .0064 1 0.94 1.46 .0065 2 0.94 1.49 .0066 3 0.94 1.39 .0067 3 0.94 1.47 .0068 1 0.94 1.57 .0069 1 0.94 1.47 .0070 3 0.94 1.51 .0071 3 0.94 1.57 .0072 2 0.94 1.61 .0073 1 0.94 1.44 .0074 1 0.94 1.55 .0075 2 0.94 1.48 .0076 1 0.94 1.55 .0077 3 0.94 1.47 .0078 2 0.94 1.78 .0079 3 0.95 1.65 .0080 1 0.95 1.49 .0081 1 0.95 1.42 .0082 1 0.95 1.40 .0083 1 0.95 1.44 .0084 2 0.95 1.77 .0085 1 0.95 1.63 .0086 1 0.95 1.51 .0087 3 0.95 1.58 .0088 3 0.95 1.46 .0089 1 0.95 1.45 .0090 4 0.95 1.41 .0091 3 0.95 1.51 .0092 1 0.95 1.65 .0093 1 0.95 1.45 .0094 2 0.95 1.55 .0095 1 0.95 1.60 .0096 1 0.95 1.51 .0097 1 0.95 1.55 .0098 1 0.95 1.57 .0099 1 0.95 1.45 .0100 2 0.95 1.54 .0101 1 0.95 1.43 .0102 1 0.95 1.67 .0103 2 0.95 1.48 .0104 2 0.95 1.58 .0105 1 0.95 1.54 .0106 3 0.95 1.68 .0107 4 0.95 1.48 .0108 2 0.95 1.65 .0109 1 0.95 1.48 .0110 1 0.95 1.50 .0111 1 0.95 1.55 .0112 2 0.95 1.51 .0113 2 0.95 1.60 .0114 1 0.95 1.50 .0115 1 0.95 1.60 .0116 1 0.95 1.57 .0117 3 0.95 1.51 .0118 2 0.95 1.71 .0119 3 0.95 1.59 .0120 2 0.95 1.59 .0121 3 0.95 1.55 .0122 2 0.95 1.60 .0123 2 0.95 1.46 .0124 1 0.95 1.50 .0125 1 0.95 1.58 .0126 2 0.95 1.52 .0127 1 0.95 1.62 .0128 3 0.95 1.57 .0129 1 0.95 1.55 .0130 1 0.95 1.63 .0131 1 0.95 1.51 .0132 1 0.95 1.47 .0133 1 0.95 1.53 .0134 2 0.95 1.54 .0135 2 0.95 1.52 .0136 2 0.95 1.51 .0137 1 0.95 1.57 .0138 1 0.95 1.54 .0139 1 0.95 1.54 .0140 1 0.95 1.49 .0141 1 0.95 1.51 .0142 3 0.95 1.59 .0143 2 0.95 1.54 .0144 1 0.95 1.60 .0145 1 0.95 1.46 .0146 1 0.95 1.47 .0147 1 0.96 1.50 .0148 1 0.96 1.45 .0149 1 0.96 1.44 .0150 2 0.96 1.50 .0151 1 0.96 1.44 .0152 1 0.96 1.53 .0153 1 0.96 1.54 .0154 1 0.96 1.52 .0155 1 0.96 1.43 .0156 1 0.96 1.49 .0157 1 0.96 1.55 .0158 2 0.96 1.47 .0159 2 0.96 1.46 .0160 2 0.96 1.40 .0161 1 0.96 1.47 .0162 1 0.96 1.44 .0163 4 0.96 1.57 .0164 1 0.96 1.60 .0165 3 0.96 1.47 .0166 1 0.96 1.55 .0167 1 0.96 1.48 .0168 2 0.96 1.55 .0169 3 0.96 1.55 .0170 2 0.96 1.63 .0171 1 0.96 1.59 .0172 3 0.96 1.55 .0173 1 0.96 1.44 .0174 4 0.96 1.57 .0175 1 0.96 1.56 .0176 1 0.96 1.65 .0177 1 0.96 1.54 .0178 3 0.96 1.47 .0179 1 0.96 1.74 .0180 1 0.96 1.54 .0181 1 0.96 1.58 .0182 3 0.96 1.64 .0183 2 0.96 1.60 .0184 3 0.96 1.40 .0185 3 0.96 1.56 .0186 3 0.96 1.65 .0187 2 0.96 1.61 .0188 2 0.96 1.52 .0189 1 0.96 1.43 .0190 1 0.96 1.51 .0191 2 0.96 1.47 .0192 3 0.96 1.43 .0193 1 0.96 1.48 .0194 2 0.96 1.62 .0195 1 0.96 1.57 .0196 1 0.96 1.56 .0197 2 0.96 1.57 .0198 2 0.96 1.69 .0199 1 0.96 1.50 .0200 1 0.96 1.51 .0201 1 0.96 1.48 .0202 1 0.96 1.57 .0203 1 0.96 1.47 .0204 2 0.96 1.51 .0205 2 0.96 1.71 .0206 2 0.96 1.52 .0207 3 0.96 1.47 .0208 3 0.96 1.50 .0209 1 0.96 1.42 .0210 1 0.96 1.55 .0211 3 0.96 1.53 .0212 3 0.96 1.57 .0213 1 0.96 1.47 .0214 1 0.96 1.54 .0215 3 0.96 1.61 .0216 3 0.96 1.49 .0217 3 0.96 1.50 .0218 3 0.96 1.59 .0219 5 0.96 1.49 .0220 3 0.96 1.58 .0221 1 0.96 1.65 .0222 3 0.96 1.56 .0223 2 0.96 1.61 .0224 1 0.96 1.79 .0225 3 0.96 1.60 .0226 3 0.96 1.70 .0227 2 0.96 1.61 .0228 2 0.96 1.72 .0229 2 0.96 1.56 .0230 3 0.96 1.63 .0231 2 0.96 1.63 .0232 2 0.96 1.67 .0233 1 0.96 1.53 .0234 1 0.96 1.59 .0235 1 0.96 1.64 .0236 3 0.96 1.56 .0237 3 0.96 1.71 .0238 4 0.96 1.68 .0239 3 0.96 1.64 .0240 1 0.96 1.64 .0241 1 0.96 1.51 .0242 1 0.96 1.79 .0243 4 0.96 1.78 .0244 2 0.97 1.79 .0245 1 0.97 1.71 .0246 2 0.97 1.71 .0247 2 0.97 1.70 .0248 2 0.97 1.67 .0249 1 0.97 1.62 .0250 1 0.97 1.74 .0251 2 0.97 1.60 .0252 1 0.97 1.75 .0253 2 0.97 1.70 .0254 1 0.97 1.73 .0255 2 0.97 1.74 .0256 1 0.97 1.73 .0257 1 0.97 1.65 .0258 1 0.97 1.79 .0259 3 0.97 1.80 .0260 1 0.97 1.77 .0261 2 0.97 1.80 .0262 1 0.97 1.79 .0263 3 0.97 1.67 .0264 3 0.97 1.85 .0265 3 0.97 1.79 .0266 3 0.97 1.84 .0267 2 0.97 1.72 .0268 1 0.97 1.85 .0269 1 0.97 1.84 .0270 3 0.97 1.77 .0271 3 0.97 1.85 .0272 1 0.97 2.00 .0273 1 0.97 1.89 .0274 2 0.97 1.89 .0275 2 0.97 1.80 .0276 1 0.97 1.92 .0277 1 0.97 1.76 .0278 1 0.97 1.83 .0279 2 0.97 1.87 .0280 1 0.97 1.87 .0281 1 0.97 1.88 .0282 1 0.97 1.86 .0283 1 0.97 1.93 .0284 1 0.97 1.82 .0285 1 0.97 2.01 .0286 2 0.97 1.91 .0287 1 0.97 1.87 .0288 1 0.97 1.79 .0289 2 0.97 1.97 .0290 1 0.97 1.90 .0291 1 0.97 1.90 .0292 1 0.97 1.88 .0293 1 0.97 1.85 .0294 1 0.97 1.98 .0295 3 0.97 1.87 .0296 3 0.97 1.86 .0297 3 0.97 1.93 .0298 2 0.97 2.00 .0299 1 0.97 1.93 .0300 1 0.97 1.80 .0301 1 0.97 1.86 .0302 2 0.97 2.00 .0303 3 0.97 1.94 .0304 2 0.97 1.93 .0305 1 0.97 2.04 .0306 1 0.97 1.95 .0307 1 0.97 1.86 .0308 1 0.97 1.85 .0309 1 0.97 1.89 .0310 1 0.97 1.98 .0311 1 0.97 1.96 .0312 2 0.97 2.07 .0313 1 0.97 1.97 .0314 2 0.97 2.05 .0315 1 0.97 2.10 .0316 2 0.97 2.01 .0317 1 0.97 2.02 .0318 2 0.97 1.87 .0319 1 0.97 1.89 .0320 1 0.97 1.95 .0321 1 0.97 2.02 .0322 2 0.97 1.83 .0323 1 0.97 1.94 .0324 1 0.97 2.01 .0325 1 0.97 1.99 .0326 1 0.97 2.01 .0327 1 0.97 2.00 .0328 1 0.97 1.92 .0329 1 0.97 2.03 .0330 1 0.97 1.89 .0331 2 0.97 1.96 .0332 2 0.97 1.89 .0333 1 0.97 1.94 .0334 4 0.97 2.05 .0335 2 0.97 2.10 .0336 2 0.97 2.13 .0337 1 0.97 2.03 .0338 3 0.97 1.96 .0339 1 0.97 1.86 .0340 1 0.97 1.94 .0341 1 0.97 1.86 .0342 1 0.97 2.03 .0343 2 0.97 1.97 .0344 2 0.97 1.98 .0345 1 0.97 1.93 .0346 1 0.97 2.03 .0347 1 0.97 1.89 .0348 1 0.97 1.90 .0349 1 0.97 1.87 .0350 1 0.97 1.98 .0351 1 0.97 1.99 .0352 1 0.97 2.02 .0353 2 0.97 1.90 .0354 1 0.97 1.94 .0355 1 0.97 1.98 .0356 3 0.97 1.96 .0357 4 0.97 1.91 .0358 3 0.97 2.03 .0359 1 0.97 1.98 .0360 2 0.97 2.01 .0361 2 0.97 1.94 .0362 3 0.97 1.94 .0363 3 0.97 1.97 .0364 2 0.97 1.89 .0365 2 0.97 1.88 .0366 1 0.97 1.84 .0367 1 0.97 1.87 .0368 2 0.97 1.99 .0369 3 0.97 2.06 .0370 3 0.97 1.91 .0371 4 0.97 1.96 .0372 3 0.97 2.01 .0373 2 0.97 2.09 .0374 1 0.97 1.90 .0375 1 0.97 1.94 .0376 2 0.97 2.02 .0377 2 0.97 1.98 .0378 2 0.97 1.94 .0379 1 0.97 1.96 .0380 1 0.97 1.99 .0381 1 0.97 2.05 .0382 1 0.97 1.99 .0383 1 0.97 1.97 .0384 1 0.97 1.93 .0385 1 0.97 2.07 .0386 1 0.97 2.00 .0387 1 0.97 1.91 .0388 1 0.97 1.93 .0389 2 0.97 1.97 .0390 2 0.97 2.15 .0391 1 0.97 2.01 .0392 2 0.97 1.96 .0393 2 0.97 2.09 .0394 2 0.97 2.14 .0395 2 0.97 1.99 .0396 2 0.97 2.00 .0397 1 0.97 1.93 .0398 3 0.97 1.92 .0399 2 0.97 2.10 .0400 1 0.97 1.96 .0401 1 0.97 2.00 .0402 1 0.97 1.94 .0403 1 0.97 1.90 .0404 1 0.97 2.01 .0405 2 0.97 1.97 .0406 1 0.97 1.92 .0407 1 0.97 1.91 .0408 1 0.97 1.95 .0409 1 0.97 2.06 .0410 1 0.97 1.82 .0411 3 0.97 2.02 .0412 3 0.97 2.03 .0413 1 0.97 1.83 .0414 2 0.97 2.00 .0415 1 0.97 2.02 .0416 1 0.97 1.87 .0417 3 0.97 2.04 .0418 3 0.97 1.92 .0419 2 0.97 2.21 .0420 1 0.97 1.90 .0421 1 0.97 1.80 .0422 1 0.97 1.88 .0423 1 0.97 2.00 .0424 1 0.97 1.99 .0425 3 0.97 1.95 .0426 2 0.97 2.07 .0427 1 0.97 1.94 .0428 1 0.97 1.92 .0429 1 0.97 2.05 .0430 1 0.97 1.94 .0431 1 0.97 1.89 .0432 1 0.97 1.93 .0433 1 0.97 1.96 .0434 3 0.97 1.92 .0435 1 0.97 1.91 .0436 1 0.97 1.96 .0437 2 0.97 1.92 .0438 1 0.97 1.91 .0439 1 0.97 1.98 .0440 1 0.97 1.88 .0441 1 0.97 2.02 .0442 3 0.97 1.91 .0443 2 0.97 1.91 .0444 2 0.97 1.89 .0445 1 0.97 1.86 .0446 1 0.97 1.89 .0447 3 0.97 1.96 .0448 3 0.97 1.93 .0449 3 0.97 1.95 .0450 2 0.97 1.90 .0451 2 0.97 2.03 .0452 3 0.97 1.94 .0453 2 0.97 2.03 .0454 2 0.97 1.90 .0455 3 0.97 2.02 .0456 2 0.97 1.91 .0457 1 0.97 1.80 .0458 1 0.97 1.86 .0459 2 0.97 1.91 .0460 2 0.97 1.89 .0461 1 0.97 1.88 .0462 3 0.97 1.80 .0463 3 0.97 1.91 .0464 2 0.97 1.92 .0465 2 0.97 2.12 .0466 1 0.97 2.11 .0467 1 0.97 2.13 .0468 2 0.97 2.27 .0469 1 0.97 2.08 .0470 1 0.97 2.12 .0471 1 0.97 1.94 .0472 1 0.97 2.09 .0473 2 0.97 1.98 .0474 2 0.97 2.07 .0475 2 0.97 2.00 .0476 2 0.97 1.95 .0477 1 0.97 1.89 .0478 1 0.97 1.94 .0479 2 0.97 2.03 .0480 2 0.97 1.96 .0481 3 0.97 2.12 .0482 1 0.97 2.01 .0483 1 0.97 1.94 .0484 2 0.97 1.94 .0485 3 0.97 2.01 .0486 1 0.97 2.05 .0487 1 0.97 1.93 .0488 1 0.97 1.96 .0489 1 0.97 2.01 .0490 1 0.97 1.91 .0491 1 0.97 1.93 .0492 1 0.97 1.92 .0493 1 0.97 2.01 .0494 1 0.97 1.91 .0495 1 0.97 2.04 .0496 1 0.97 2.05 .0497 1 0.97 2.04 .0498 1 0.97 1.90 .0499 1 0.97 2.05 .0500 1 0.97 1.93 .0501 2 0.97 2.06 .0502 3 0.97 1.89 .0503 2 0.97 2.14 .0504 3 0.97 1.97 .0505 2 0.97 2.02 .0506 2 0.97 1.87 .0507 2 0.97 2.06 .0508 2 0.97 2.03 .0509 1 0.97 2.00 .0510 2 0.97 1.87 .0511 2 0.97 2.13 .0512 1 0.97 1.93 .0513 1 0.97 1.93 .0514 1 0.97 2.00 .0515 1 0.97 1.88 .0516 1 0.97 1.95 .0517 1 0.97 1.91 .0518 1 0.97 1.92 .0519 1 0.97 1.81 .0520 3 0.97 1.87 .0521 2 0.97 1.91 .0522 4 0.97 1.82 .0523 2 0.97 1.97 .0524 1 0.97 1.89 .0525 1 0.97 1.94 .0526 1 0.97 1.88 .0527 5 0.97 1.87 .0528 1 0.97 1.91 .0529 3 0.97 1.87 .0530 2 0.97 1.94 .0531 1 0.97 1.85 .0532 3 0.97 2.08 .0533 1 0.97 2.03 .0534 2 0.97 1.89 .0535 2 0.97 1.95 .0536 2 0.97 1.86 .0537 1 0.97 1.85 .0538 1 0.97 1.82 .0539 2 0.97 1.88 .0540 1 0.97 1.80 .0541 1 0.97 1.81 .0542 2 0.97 1.79 .0543 2 0.97 1.81 .0544 1 0.97 1.90 .0545 1 0.97 1.82 .0546 1 0.97 1.87 .0547 1 0.97 2.06 .0548 1 0.97 1.81 .0549 1 0.97 1.79 .0550 2 0.97 1.79 .0551 3 0.97 1.98 .0552 2 0.97 1.99 .0553 1 0.97 1.71 .0554 1 0.97 2.01 .0555 2 0.97 1.93 .0556 2 0.97 1.81 .0557 1 0.97 1.78 .0558 2 0.97 1.91 .0559 2 0.97 1.94 .0560 2 0.97 1.89 .0561 3 0.97 1.84 .0562 3 0.97 2.08 .0563 3 0.97 1.89 .0564 2 0.97 1.87 .0565 2 0.97 1.91 .0566 1 0.97 1.82 .0567 1 0.97 1.91 .0568 1 0.97 1.88 .0569 1 0.97 1.92 .0570 2 0.97 2.04 .0571 1 0.97 1.88 .0572 1 0.97 1.83 .0573 2 0.97 1.98 .0574 1 0.97 1.74 .0575 2 0.97 1.95 .0576 1 0.97 1.86 .0577 1 0.97 1.88 .0578 2 0.97 1.94 .0579 3 0.97 1.84 .0580 2 0.97 2.07 .0581 1 0.97 1.88 .0582 1 0.97 1.98 .0583 1 0.97 1.83 .0584 2 0.97 1.95 .0585 1 0.97 1.86 .0586 3 0.97 1.96 .0587 1 0.97 2.00 .0588 1 0.97 1.81 .0589 2 0.97 1.81 .0590 2 0.97 1.83 .0591 2 0.97 1.86 .0592 2 0.97 1.90 .0593 1 0.97 1.81 .0594 1 0.97 1.93 .0595 1 0.97 1.91 .0596 2 0.97 1.85 .0597 2 0.97 1.92 .0598 1 0.97 1.93 .0599 1 0.97 1.81 .0600 2 0.97 1.99 .0601 2 0.97 1.96 .0602 1 0.97 1.72 .0603 1 0.97 1.89 .0604 2 0.97 2.13 .0605 3 0.97 1.88 .0606 3 0.97 1.79 .0607 3 0.97 1.81 .0608 3 0.97 1.97 .0609 1 0.97 1.87 .0610 1 0.97 1.85 .0611 1 0.97 1.83 .0612 2 0.97 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1.33 .1945 2 0.98 1.23 .1946 3 0.98 1.20 .1947 3 0.98 1.13 .1948 2 0.98 1.31 .1949 2 0.98 1.22 .1950 2 0.98 1.21 .1951 1 0.98 1.20 .1952 4 0.98 1.27 .1953 3 0.98 1.30 .1954 1 0.98 1.21 .1955 2 0.98 1.25 .1956 3 0.98 1.33 .1957 3 0.98 1.23 .1958 3 0.98 1.22 .1959 3 0.98 1.21 .1960 2 0.98 1.18 .1961 1 0.98 1.18 .1962 1 0.98 1.17 .1963 1 0.98 1.15 .1964 2 0.98 1.13 .1965 2 0.98 1.16 .1966 1 0.98 1.18 .1967 1 0.98 1.10 .1968 2 0.98 1.14 .1969 2 0.98 1.17 .1970 1 0.98 1.16 .1971 2 0.98 1.13 .1972 2 0.98 1.15 .1973 2 0.98 1.18 .1974 2 0.98 1.18 .1975 4 0.98 1.19 .1976 2 0.98 1.18 .1977 1 0.98 1.20 .1978 1 0.98 1.20 .1979 1 0.98 1.15 .1980 1 0.98 1.08 .1981 1 0.98 1.25 .1982 3 0.98 1.27 .1983 3 0.98 1.29 .1984 3 0.98 1.23 .1985 2 0.98 1.27 .1986 1 0.98 1.16 .1987 3 0.98 1.16 .1988 3 0.98 1.21 .1989 3 0.98 1.21 .1990 1 0.98 1.19 .1991 1 0.98 1.25 .1992 3 0.98 1.22 .1993 3 0.98 1.20 .1994 1 0.98 1.18 .1995 1 0.98 1.19 .1996 1 0.98 1.24 .1997 1 0.98 1.35 .1998 3 0.98 1.24 .1999 1 0.98 1.23 .2000 1 0.98 1.24 .2001 1 0.98 1.19 .2002 1 0.98 1.17 .2003 1 0.98 1.21 .2004 2 0.98 1.27 .2005 3 0.98 1.30 .2006 1 0.98 1.34 .2007 1 0.98 1.21 .2008 1 0.98 1.15 .2009 1 0.98 1.37 .2010 4 0.98 1.29 .2011 2 0.98 1.37 .2012 2 0.98 1.08 .2013 1 0.98 1.07 .2014 1 0.98 1.20 .2015 1 0.98 1.18 .2016 1 0.98 1.17 .2017 1 0.98 1.19 .2018 2 0.98 1.24 .2019 2 0.98 1.20 .2020 1 0.98 1.19 .2021 1 0.98 1.08 .2022 1 0.98 1.18 .2023 2 0.98 1.15 .2024 3 0.98 1.14 .2025 1 0.98 1.10 .2026 1 0.98 1.11 .2027 1 0.98 1.23 .2028 2 0.98 1.26 .2029 3 0.98 1.22 .2030 1 0.98 1.24 .2031 1 0.98 1.13 .2032 1 0.98 1.10 .2033 1 0.98 1.16 .2034 1 0.98 1.14 .2035 1 0.98 1.18 .2036 1 0.98 1.27 .2037 1 0.98 1.20 .2038 1 0.98 1.13 .2039 3 0.98 1.20 .2040 3 0.98 1.12 .2041 2 0.98 1.21 .2042 1 0.98 1.21 .2043 2 0.98 1.22 .2044 1 0.98 1.20 .2045 1 0.98 1.17 .2046 2 0.98 1.30 .2047 2 0.98 1.28 EXTRACT_IMAGE: sdR-b1-00034675.fit: masked 2014 pixels EXTRACT_OBJECT: sdR-b1-00034675.fit: Step 4: Find scattered light image 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0.96 1.58 .0153 1 0.96 1.58 .0154 1 0.96 1.59 .0155 1 0.96 1.45 .0156 1 0.96 1.52 .0157 1 0.96 1.55 .0158 2 0.96 1.51 .0159 2 0.96 1.46 .0160 3 0.96 1.51 .0161 1 0.96 1.53 .0162 1 0.96 1.43 .0163 3 0.96 1.59 .0164 2 0.96 1.59 .0165 4 0.96 1.49 .0166 1 0.96 1.59 .0167 1 0.96 1.51 .0168 3 0.96 1.58 .0169 3 0.96 1.60 .0170 3 0.96 1.63 .0171 3 0.96 1.53 .0172 3 0.96 1.62 .0173 2 0.96 1.50 .0174 3 0.96 1.58 .0175 1 0.96 1.66 .0176 2 0.96 1.59 .0177 1 0.96 1.57 .0178 4 0.96 1.47 .0179 2 0.96 1.67 .0180 2 0.96 1.54 .0181 2 0.96 1.57 .0182 4 0.96 1.60 .0183 3 0.96 1.65 .0184 3 0.96 1.49 .0185 3 0.96 1.57 .0186 4 0.96 1.67 .0187 3 0.96 1.60 .0188 2 0.96 1.60 .0189 1 0.96 1.54 .0190 1 0.96 1.56 .0191 4 0.96 1.55 .0192 3 0.96 1.52 .0193 1 0.96 1.56 .0194 3 0.96 1.61 .0195 2 0.96 1.61 .0196 1 0.96 1.66 .0197 2 0.96 1.68 .0198 2 0.96 1.74 .0199 2 0.96 1.60 .0200 1 0.96 1.58 .0201 1 0.96 1.60 .0202 1 0.96 1.65 .0203 1 0.96 1.49 .0204 2 0.96 1.59 .0205 4 0.96 1.64 .0206 2 0.96 1.57 .0207 3 0.96 1.57 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0.98 1.20 .1929 1 0.98 1.27 .1930 1 0.98 1.20 .1931 1 0.98 1.22 .1932 3 0.98 1.26 .1933 1 0.98 1.19 .1934 1 0.98 1.18 .1935 1 0.98 1.23 .1936 1 0.98 1.27 .1937 1 0.98 1.29 .1938 2 0.98 1.26 .1939 2 0.98 1.29 .1940 3 0.98 1.22 .1941 1 0.98 1.23 .1942 3 0.98 1.22 .1943 3 0.98 1.20 .1944 3 0.98 1.26 .1945 2 0.98 1.23 .1946 3 0.98 1.23 .1947 3 0.98 1.15 .1948 4 0.98 1.27 .1949 5 0.98 1.24 .1950 2 0.98 1.24 .1951 1 0.98 1.26 .1952 5 0.98 1.21 .1953 4 0.98 1.25 .1954 1 0.98 1.22 .1955 2 0.98 1.27 .1956 4 0.98 1.25 .1957 6 0.98 1.21 .1958 3 0.98 1.23 .1959 3 0.98 1.22 .1960 2 0.98 1.23 .1961 1 0.98 1.21 .1962 1 0.98 1.21 .1963 1 0.98 1.16 .1964 2 0.98 1.13 .1965 2 0.98 1.17 .1966 1 0.98 1.24 .1967 1 0.98 1.14 .1968 2 0.98 1.15 .1969 2 0.98 1.20 .1970 1 0.98 1.21 .1971 2 0.98 1.15 .1972 2 0.98 1.16 .1973 2 0.98 1.18 .1974 3 0.98 1.14 .1975 4 0.98 1.20 .1976 3 0.98 1.21 .1977 1 0.98 1.23 .1978 1 0.98 1.20 .1979 1 0.98 1.17 .1980 1 0.98 1.14 .1981 1 0.98 1.25 .1982 3 0.98 1.33 .1983 3 0.98 1.23 .1984 3 0.98 1.27 .1985 3 0.98 1.23 .1986 1 0.98 1.21 .1987 3 0.98 1.19 .1988 3 0.98 1.24 .1989 3 0.98 1.21 .1990 1 0.98 1.23 .1991 1 0.98 1.25 .1992 3 0.98 1.20 .1993 3 0.98 1.20 .1994 1 0.98 1.22 .1995 1 0.98 1.20 .1996 1 0.98 1.28 .1997 1 0.98 1.37 .1998 3 0.98 1.25 .1999 1 0.98 1.22 .2000 1 0.98 1.27 .2001 2 0.98 1.17 .2002 2 0.98 1.13 .2003 1 0.98 1.23 .2004 2 0.98 1.22 .2005 3 0.98 1.19 .2006 2 0.98 1.27 .2007 1 0.98 1.23 .2008 1 0.98 1.19 .2009 3 0.98 1.25 .2010 4 0.98 1.22 .2011 2 0.98 1.25 .2012 2 0.98 1.09 .2013 1 0.98 1.15 .2014 1 0.98 1.21 .2015 2 0.98 1.12 .2016 2 0.98 1.20 .2017 1 0.98 1.23 .2018 2 0.98 1.20 .2019 3 0.98 1.16 .2020 1 0.98 1.20 .2021 1 0.98 1.14 .2022 1 0.98 1.19 .2023 2 0.98 1.12 .2024 5 0.98 1.16 .2025 1 0.98 1.15 .2026 1 0.98 1.09 .2027 1 0.98 1.26 .2028 2 0.98 1.27 .2029 3 0.98 1.25 .2030 1 0.98 1.26 .2031 1 0.98 1.14 .2032 1 0.98 1.10 .2033 2 0.98 1.16 .2034 1 0.98 1.17 .2035 1 0.98 1.19 .2036 1 0.98 1.25 .2037 2 0.98 1.19 .2038 1 0.98 1.17 .2039 3 0.98 1.22 .2040 3 0.98 1.12 .2041 2 0.98 1.20 .2042 1 0.98 1.19 .2043 3 0.98 1.19 .2044 1 0.98 1.20 .2045 1 0.98 1.19 .2046 3 0.98 1.25 .2047 2 0.98 1.24 EXTRACT_IMAGE: sdR-b1-00034675.fit: masked 3281 pixels DIVIDEFLAT: sdR-b1-00034675.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034675.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034675.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034675.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034675.fit: Warning: Reject 437 low points in trace 279 DIVIDEFLAT: sdR-b1-00034675.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034675.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-b1-00034675.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034675.fit: sky shift reference line, offset: 5577.3390 0.015575756 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 8 0.33179823 29.094990 -0.72215676 0.79667565 44.059901 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 17 1.3296124 42.001051 -0.50723927 1.2403125 9.0209398 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 28 1.0419547 44.810961 -0.74241875 0.60000000 89.825901 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 32 0.50747946 32.744892 -0.68157009 1.1664565 30.815424 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 43 1.3373200 55.939615 -0.95496382 0.60000000 21.419567 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 44 0.68055365 42.089631 -0.34883643 1.5579592 31.668215 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 70 1.1374572 48.086176 -0.50802296 0.74504917 45.752054 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 78 1.3771371 31.905847 -0.53152105 0.97541532 44.530086 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 89 2.2115105 50.562195 -0.52494676 0.60000000 59.076593 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 95 1.0395252 44.086559 -0.16313359 0.60000000 37.095727 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 101 0.48829880 55.517369 -0.22406592 0.88431708 25.773317 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 123 1.7660750 49.589946 -0.80562068 1.1045524 44.646477 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 124 1.7679541 51.663335 -0.29261846 1.3393557 34.720767 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 126 0.29273399 52.077824 -1.0000000 0.62233680 21.835477 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 134 0.38725472 43.034286 -0.74787797 1.0965480 40.607521 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 156 0.60397507 50.939381 -0.62793810 0.61669956 44.200239 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 203 1.5186731 51.720234 -0.85288377 0.60000000 48.226532 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 216 0.73327488 51.454273 0.28975975 0.60000000 25.920940 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 218 1.3591301 38.745997 -0.55673669 1.0968530 44.865321 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 245 1.0561028 46.156129 -0.091169274 1.2236645 32.571601 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 255 1.3371136 52.103331 -0.22576898 0.97734846 38.862983 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 262 0.87422905 28.011055 0.64247881 2.0000000 38.561879 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 267 0.56797551 34.471890 -0.46307222 1.1901068 65.035940 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 273 0.36258607 46.478300 0.16705546 0.60000000 34.340905 LOCATESKYLINES_2: sdR-b1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 283 0.39011723 48.866901 -0.41966315 0.76118089 42.290110 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 289 0.48046837 41.735711 -0.47453301 0.77047206 58.133696 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 311 0.54139913 49.933309 -0.75544856 1.1515023 50.118968 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 314 2.9133021 49.375071 -0.33570361 0.67552634 55.562588 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 0 317 0.74087202 52.279474 -0.66760075 0.89158838 30.296895 LOCATESKYLINES_2: sdR-b1-00034675.fit: trimmed 1high points: 1.0580008 LOCATESKYLINES_2: sdR-b1-00034675.fit: comb1 l,chi^2/dof,fit: 0 0.47290076 0.012235140 -0.54546164 0.96789717 0.93685650 LOCATESKYLINES_2: sdR-b1-00034675.fit: kept 179 of 179 points LOCATESKYLINES_2: sdR-b1-00034675.fit: offset, refoff, sigma: -0.529886-0.5454620.077140 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 8 4.7247726 24.054125 -0.14838028 1.5719655 174.41534 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 17 0.29478423 51.383815 -0.22336643 1.0451639 177.10791 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 28 0.88578298 40.020664 -0.097233326 1.0412221 167.82497 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 32 1.7884934 39.619885 -0.020521501 1.1608974 171.47817 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 43 4.8988921 33.915215 -0.19627127 1.3742427 169.86228 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 44 0.79195329 50.810283 -0.010918160 1.2953604 179.99047 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 70 3.0361544 67.135873 -0.18000113 1.0846399 170.90997 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 78 0.64984616 61.410520 -0.14659782 1.2213745 160.84771 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 89 1.3685971 78.187753 -0.13590912 1.0001823 182.53317 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 95 0.12148221 60.993941 -0.15158665 1.2845588 182.34177 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 101 0.81518397 93.366735 -0.31353639 1.1579437 159.41709 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 123 1.0685700 90.139966 0.032335698 1.1415279 158.04725 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 124 0.62991446 56.508451 -0.29085262 1.8899313 163.08619 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 126 1.2041401 75.244488 -0.012447540 1.0361897 159.06654 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 134 1.6764605 63.977043 -0.088014812 1.2974615 192.89609 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 156 1.2660479 75.401998 -0.18504023 1.3454096 156.52203 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 203 1.8102271 93.103717 -0.18183778 1.0000170 164.48564 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 216 1.4716107 85.125643 -0.060960916 0.97713889 188.93705 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 218 2.2696063 69.393291 -0.098519137 1.2419949 150.50802 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 245 0.63847364 81.340226 -0.019961793 1.0542190 185.13930 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 255 0.76430013 68.026331 -0.18294292 1.3136765 190.98046 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 262 0.56068411 49.222900 -0.18033312 1.6093098 175.22007 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 267 1.0035325 64.004462 0.16476346 1.1712373 174.38752 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 273 0.85219947 58.162311 0.017823051 1.2069217 182.65581 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 283 0.81250357 73.504301 0.020604152 1.3551270 149.21038 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 289 1.5191152 70.849841 -0.23559331 1.0548324 191.78353 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 311 2.5551190 64.639515 -0.11635730 1.0896145 198.41352 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 314 0.61401919 75.521866 -0.31730116 1.1110901 178.23424 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 1 317 1.7637641 82.932939 -0.056904859 1.1204292 193.94179 LOCATESKYLINES_2: sdR-b1-00034675.fit: comb1 l,chi^2/dof,fit: 1 1.3815192 0.011648526 -0.12182943 1.1725988 0.98418001 LOCATESKYLINES_2: sdR-b1-00034675.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-b1-00034675.fit: offset, refoff, sigma: -0.106254-0.1218290.021419 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 8 1.3739399 72.718184 -0.0093686173 1.1720635 365.49329 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 17 4.0104335 40.002958 -0.074470345 1.0658853 406.49724 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 28 3.3175727 64.397712 0.034958502 1.1480995 382.32041 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 32 1.1111376 61.696114 -0.16124167 1.2967683 345.47283 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 43 1.2436808 96.101005 6.2790497e-05 1.1710414 394.63575 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 44 0.94054468 95.212813 -0.15426452 1.0829206 411.38369 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 70 1.3947437 139.19232 -0.025421012 1.1091854 418.80586 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 78 3.1713664 147.58751 0.047927813 1.0633632 409.26785 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 89 1.6927071 130.18854 0.033859432 1.0945535 420.02132 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 95 2.2028178 149.19524 0.11196181 1.1245583 394.14332 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 101 1.8330525 154.73026 0.092008195 1.0782851 396.53129 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 123 0.68493323 175.26090 0.14528381 1.1351144 405.11696 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 124 2.8215831 176.43299 0.14114344 0.89711570 405.69117 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 126 1.8579570 133.92284 0.075084853 1.1505305 411.47835 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 134 1.6061375 135.96501 -0.071194951 1.1971886 415.71786 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 156 1.6261546 156.05392 0.072079569 1.2122793 350.34455 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 203 2.4813025 146.95332 -0.031899104 1.1777836 391.98520 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 216 1.5644755 137.25447 0.077732891 1.1287490 404.91143 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 218 4.0159530 129.58046 0.069818656 1.1919275 386.40011 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 245 2.8168927 134.14756 0.049025443 1.2067362 414.74835 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 255 2.3411408 154.58750 0.14254421 1.1385408 415.64607 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 262 1.9899282 127.86683 -0.067172239 1.3433798 385.82979 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 267 2.3627622 139.02811 0.0045611892 1.1350531 427.88446 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 273 1.1128908 118.98330 0.022518314 1.1268552 415.79336 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 283 0.44128852 139.50059 0.089854576 1.0600253 422.19389 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 289 2.0106594 129.84104 0.085773620 1.2337373 403.15337 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 311 2.1552318 162.26485 -0.078534764 1.1404305 419.28212 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 314 0.96749635 161.97649 -0.099502241 1.1044362 432.79881 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 2 317 1.1063366 159.47109 -0.010351772 1.1492249 432.07733 LOCATESKYLINES_2: sdR-b1-00034675.fit: comb1 l,chi^2/dof,fit: 2 1.4956604 0.0017974900 0.022683209 1.1354947 0.99487246 LOCATESKYLINES_2: sdR-b1-00034675.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034675.fit: comb2 l,chi^2/dof,fit: 2 1.4260751 0.0017337623 0.018216596 1.1343817 0.99962249 LOCATESKYLINES_2: sdR-b1-00034675.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-b1-00034675.fit: offset, refoff, sigma: 0.0337920.0182170.012221 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 8 3.3143273 56.177100 -0.010382624 0.92183423 1874.3757 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 17 1.5526860 18.583370 0.013539332 0.94522371 1901.3655 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 28 0.96014667 55.760945 0.028235281 0.92673004 1902.2290 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 32 1.4671755 46.531724 0.0021772425 0.95563268 1901.8874 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 43 3.7425050 95.657181 -0.0066933110 0.96340783 1820.7142 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 44 1.2450290 102.47245 -0.025127206 0.93805120 1896.0013 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 70 3.3765409 128.95252 0.017176761 0.92075747 1892.5203 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 78 1.0083653 141.91698 0.019441307 0.91847121 1905.8478 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 89 2.9858486 131.92569 0.041851304 0.94020494 1854.6742 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 95 1.9134635 144.87052 0.026605252 0.90622708 1894.0634 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 101 2.9587263 134.44825 0.020836010 0.89995161 1935.1461 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 123 2.2918123 151.40014 0.052559880 0.96827281 1837.3335 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 124 6.2710910 139.36556 0.043313624 0.98310916 1781.8383 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 126 3.4733128 147.38576 0.027397948 0.94090549 1799.7035 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 134 2.3418036 155.48863 0.065567177 0.91532546 1893.3245 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 156 2.0593609 143.55683 0.043256897 0.94957310 1834.5293 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 203 3.5658825 157.80727 0.033714813 0.95061139 1755.6730 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 216 3.5804424 141.01915 0.044474417 0.92080042 1828.2949 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 218 6.3694029 129.11777 0.049051933 0.93739119 1845.8104 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 245 1.9054764 139.86871 0.051311581 0.91949038 1890.5213 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 255 3.0191067 150.66498 0.048164148 0.94328201 1824.2484 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 262 3.7346688 134.10434 0.067806716 0.95907600 1784.6399 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 267 5.0338907 126.03823 0.052535528 1.0008097 1706.3606 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 273 2.3103924 136.09195 0.031838618 0.95378523 1795.9095 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 283 1.8715047 128.21388 0.067346571 0.96206854 1890.1090 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 289 2.7837011 128.82421 0.034923153 0.94918548 1857.8102 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 311 1.1755397 146.38051 0.088553029 0.96532232 1838.0962 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 314 2.7806461 146.67689 0.056371021 0.99355682 1736.7283 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 3 317 2.6566797 139.44052 0.060060262 0.98311982 1814.2183 LOCATESKYLINES_2: sdR-b1-00034675.fit: comb1 l,chi^2/dof,fit: 3 2.1600894 9.4281013e-05 0.035973532 0.94362342 0.99916057 LOCATESKYLINES_2: sdR-b1-00034675.fit: sigma-clipped to 258 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034675.fit: comb2 l,chi^2/dof,fit: 3 1.9203256 0.00023816210 0.034288271 0.94299552 0.99822659 LOCATESKYLINES_2: sdR-b1-00034675.fit: kept 258 of 261 points LOCATESKYLINES_2: sdR-b1-00034675.fit: offset, refoff, sigma: 0.0498640.0342880.003733 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 8 10.206526 98.438264 0.013551194 0.89168816 597.00874 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 17 14.928149 89.589903 0.11655758 0.83389618 563.30967 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 28 27.847503 121.50996 0.013650130 0.85330770 569.32551 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 32 25.218313 100.96823 0.10332691 0.87972047 586.25321 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 43 29.972721 175.68699 0.038608626 0.81065200 473.79352 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 44 29.685520 145.39117 0.053347804 0.86011976 577.49502 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 70 27.179257 137.90646 0.038863031 0.87091575 642.07690 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 78 48.587932 188.12632 0.038906140 0.84555673 575.07792 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 89 21.035274 158.98795 0.094475059 0.85834110 628.47099 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 95 44.259459 226.43333 0.073583207 0.74013706 587.06728 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 101 59.873659 205.63673 0.064802454 0.79720594 552.71732 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 123 32.693691 191.83511 0.062493168 0.84024439 596.87813 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 124 30.375719 178.02594 0.11190471 0.83924126 588.48011 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 126 32.171356 174.85084 0.045364591 0.91324548 563.01370 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 134 45.321382 158.64810 0.13503759 0.83315780 607.19776 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 156 39.628379 207.57579 0.10425375 0.81892223 563.19204 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 203 20.617015 175.91059 0.058552970 0.83640834 574.44469 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 216 57.600777 207.54723 0.14297995 0.78151542 574.12763 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 218 37.367712 205.93604 0.12224375 0.78681547 583.21634 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 245 40.841803 205.06397 0.044971758 0.75859755 606.03897 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 255 40.090994 193.34282 0.10773994 0.83365672 567.13444 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 262 27.076208 159.22067 0.061948641 0.89126738 582.54189 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 267 35.877826 172.31012 0.084543771 0.82710375 585.09850 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 273 16.569430 166.35671 0.077885217 0.87001374 581.44402 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 283 16.636733 165.87656 0.14346815 0.87197266 621.83778 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 289 48.566348 183.28632 0.076572810 0.79932389 573.03817 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 311 27.796173 178.14342 0.10672389 0.90365494 592.96331 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 314 27.289329 205.14014 0.095188259 0.84331068 563.00484 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 4 317 16.453588 161.75394 0.13128498 0.94443840 605.50542 LOCATESKYLINES_2: sdR-b1-00034675.fit: comb1 l,chi^2/dof,fit: 4 18.467316 0.00052160000 0.081701590 0.84224839 0.99643397 LOCATESKYLINES_2: sdR-b1-00034675.fit: sigma-clipped to 216 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034675.fit: comb2 l,chi^2/dof,fit: 4 2.2988934 -0.061238477 0.078806669 0.92238123 1.0370726 LOCATESKYLINES_2: sdR-b1-00034675.fit: kept 216 of 261 points LOCATESKYLINES_2: sdR-b1-00034675.fit: offset, refoff, sigma: 0.0943820.0788070.007899 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 8 57.505566 138.11685 -0.069528212 0.71480517 444.12940 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 17 27.339167 99.529689 0.060341917 0.81869500 387.12616 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 28 36.825492 97.104182 0.10231913 0.85366552 426.28950 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 32 35.752088 116.76651 0.0053823109 0.80558255 442.22015 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 43 15.200836 139.91333 0.074670415 0.80301636 450.24351 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 44 36.112311 124.52698 -0.0037356394 0.82341609 447.59986 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 70 68.842279 160.49458 0.044681711 0.84196720 440.65143 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 78 28.062741 150.40236 -0.0077307635 0.85325338 465.64637 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 89 40.001751 192.06296 -0.069844411 0.74444186 418.46936 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 95 72.815164 192.88261 0.018344157 0.73275689 443.73732 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 101 78.065572 191.87422 -0.0026248664 0.78328630 419.59995 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 123 29.868975 176.71654 -0.027822902 0.86679243 408.73756 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 124 31.347583 159.27502 0.10278512 0.82994582 403.76442 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 126 36.559032 173.55219 0.056948128 0.77707886 411.42247 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 134 26.850713 153.20212 0.13523317 0.83225941 406.11507 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 156 27.939825 187.42337 0.094899361 0.78210432 430.60969 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 203 48.659311 178.39635 0.16549571 0.77445008 411.84149 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 216 64.183270 197.18955 0.073862039 0.78366721 402.90558 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 218 74.245682 185.63817 -0.018827165 0.80727329 343.61345 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 245 17.627746 166.27774 0.023551159 0.83368519 420.26351 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 255 32.434609 170.94667 0.066427510 0.94676982 380.96864 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 262 42.858737 187.17747 0.019004574 0.87549476 366.07832 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 267 18.855426 148.72245 0.079308489 0.77691727 415.38101 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 273 52.231914 189.78019 0.040989580 0.79225889 372.01808 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 283 49.079385 179.99779 0.027909741 0.86610899 386.35304 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 289 68.994179 200.42591 0.055444104 0.69506261 414.60129 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 311 47.871187 162.14086 0.059965503 0.88337309 405.13851 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 314 25.203704 172.65054 0.053804113 0.91233087 345.93199 LOCATESKYLINES_2: sdR-b1-00034675.fit: l,f,chi^2/dof,c: 5 317 66.035086 180.81127 0.11056484 0.78383765 434.14895 LOCATESKYLINES_2: sdR-b1-00034675.fit: comb1 l,chi^2/dof,fit: 5 24.789817 0.0010864333 0.046093363 0.80952562 0.99534160 LOCATESKYLINES_2: sdR-b1-00034675.fit: sigma-clipped to 210 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034675.fit: comb2 l,chi^2/dof,fit: 5 1.5878518 -0.097013688 0.052152367 0.92786273 1.0627900 LOCATESKYLINES_2: sdR-b1-00034675.fit: kept 210 of 261 points LOCATESKYLINES_2: sdR-b1-00034675.fit: offset, refoff, sigma: 0.0677280.0521520.010005 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 5923.5845 DOF = 1542 P(0) = 22.3608 P(1) = 0.00000 P(2) = 22.3608 P(3) = 22.3608 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 1687.2246 DOF = 1542 P(0) = 42.2404 P(1) = 4.04298E-05 P(2) = 29.1329 P(3) = 42.4268 P(4) = 0.000130000 P(5) = -0.0371127 Iter 3 CHI-SQUARE = 1684.7995 DOF = 1542 P(0) = 42.1547 P(1) = 2.74919E-05 P(2) = 28.6266 P(3) = 42.3863 P(4) = 0.000130000 P(5) = -0.0545122 Iter 4 CHI-SQUARE = 1683.9943 DOF = 1542 P(0) = 42.2598 P(1) = 2.81870E-05 P(2) = 28.6252 P(3) = 42.5245 P(4) = 0.000130000 P(5) = -0.0365098 Iter 5 CHI-SQUARE = 1683.9863 DOF = 1542 P(0) = 42.2606 P(1) = 2.79266E-05 P(2) = 28.6625 P(3) = 42.5219 P(4) = 0.000130000 P(5) = -0.0371268 Iter 6 CHI-SQUARE = 1683.9796 DOF = 1542 P(0) = 42.2518 P(1) = 2.76673E-05 P(2) = 28.6784 P(3) = 42.5130 P(4) = 0.000130000 P(5) = -0.0369734 Iter 7 CHI-SQUARE = 1683.9796 DOF = 1542 P(0) = 42.2499 P(1) = 2.77184E-05 P(2) = 28.6784 P(3) = 42.5119 P(4) = 0.000130000 P(5) = -0.0370246 Iter 8 CHI-SQUARE = 1683.9790 DOF = 1542 P(0) = 42.2491 P(1) = 2.76900E-05 P(2) = 28.6789 P(3) = 42.5114 P(4) = 0.000130000 P(5) = -0.0370568 Iter 9 CHI-SQUARE = 1683.9783 DOF = 1542 P(0) = 42.2474 P(1) = 2.76715E-05 P(2) = 28.6800 P(3) = 42.5108 P(4) = 0.000130000 P(5) = -0.0371289 Iter 10 CHI-SQUARE = 1683.9775 DOF = 1542 P(0) = 42.2463 P(1) = 2.76177E-05 P(2) = 28.6818 P(3) = 42.5103 P(4) = 0.000130000 P(5) = -0.0371486 Iter 11 CHI-SQUARE = 1683.9775 DOF = 1542 P(0) = 42.2463 P(1) = 2.76177E-05 P(2) = 28.6818 P(3) = 42.5103 P(4) = 0.000130000 P(5) = -0.0371486 Iter 12 CHI-SQUARE = 1683.9775 DOF = 1542 P(0) = 42.2463 P(1) = 2.76177E-05 P(2) = 28.6818 P(3) = 42.5103 P(4) = 0.000130000 P(5) = -0.0371486 Iter 13 CHI-SQUARE = 1683.9775 DOF = 1542 P(0) = 42.2463 P(1) = 2.76177E-05 P(2) = 28.6818 P(3) = 42.5103 P(4) = 0.000130000 P(5) = -0.0371487 FITMOONPLUSLINE: sdR-b1-00034675.fit: fit coeffs: 42.246333 2.7617677e-05 28.681758 42.510341 0.00013000000 -0.037148650 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034675.fit: changing 4046.58 correction from -0.529886 to -0.24989045 pixels, err= 0.084077173 Iter 1 CHI-SQUARE = 23601.166 DOF = 3200 P(0) = 33.3505 P(1) = 0.00000 P(2) = 33.3505 P(3) = 33.3505 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 4876.5285 DOF = 3200 P(0) = 62.5840 P(1) = 9.94607E-06 P(2) = 54.2040 P(3) = 168.918 P(4) = 0.000130000 P(5) = 0.170803 Iter 3 CHI-SQUARE = 4876.1794 DOF = 3200 P(0) = 62.4191 P(1) = 8.04035E-06 P(2) = 53.8139 P(3) = 169.380 P(4) = 0.000130000 P(5) = 0.170598 Iter 4 CHI-SQUARE = 4875.7969 DOF = 3200 P(0) = 62.5735 P(1) = 8.15393E-06 P(2) = 54.0201 P(3) = 169.340 P(4) = 0.000130000 P(5) = 0.170596 Iter 4 CHI-SQUARE = 4875.7969 DOF = 3200 P(0) = 62.5735 P(1) = 8.15393E-06 P(2) = 54.0201 P(3) = 169.340 P(4) = 0.000130000 P(5) = 0.170596 FITMOONPLUSLINE: sdR-b1-00034675.fit: fit coeffs: 62.573497 8.1539290e-06 54.020070 169.34029 0.00013000000 0.17059573 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034675.fit: changing 4358.33 correction from -0.106254 to -0.075283099 pixels, err= 0.022737472 Iter 1 CHI-SQUARE = 23217.181 DOF = 1070 P(0) = 81.3012 P(1) = 0.00000 P(2) = 81.3012 P(3) = 81.3012 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 3477.3781 DOF = 1070 P(0) = 133.781 P(1) = 1.06569E-05 P(2) = 177.706 P(3) = 349.876 P(4) = 0.000130000 P(5) = 0.368126 Iter 3 CHI-SQUARE = 3471.9451 DOF = 1070 P(0) = 133.218 P(1) = 1.01463E-05 P(2) = 194.056 P(3) = 348.034 P(4) = 0.000130000 P(5) = 0.389312 Iter 4 CHI-SQUARE = 3469.3544 DOF = 1070 P(0) = 133.112 P(1) = 9.84751E-06 P(2) = 197.689 P(3) = 347.725 P(4) = 0.000130000 P(5) = 0.369694 Iter 5 CHI-SQUARE = 3465.4799 DOF = 1070 P(0) = 133.670 P(1) = 9.59857E-06 P(2) = 198.401 P(3) = 348.052 P(4) = 0.000130000 P(5) = 0.368806 Iter 6 CHI-SQUARE = 3463.7360 DOF = 1070 P(0) = 134.841 P(1) = 9.11403E-06 P(2) = 198.550 P(3) = 348.203 P(4) = 0.000130000 P(5) = 0.360411 Iter 7 CHI-SQUARE = 3460.7536 DOF = 1070 P(0) = 133.228 P(1) = 8.80300E-06 P(2) = 197.390 P(3) = 347.591 P(4) = 0.000130000 P(5) = 0.376105 Iter 8 CHI-SQUARE = 3460.4565 DOF = 1070 P(0) = 134.859 P(1) = 8.63975E-06 P(2) = 197.692 P(3) = 348.165 P(4) = 0.000130000 P(5) = 0.366469 Iter 9 CHI-SQUARE = 3457.7440 DOF = 1070 P(0) = 133.943 P(1) = 8.61664E-06 P(2) = 197.379 P(3) = 347.839 P(4) = 0.000130000 P(5) = 0.359281 Iter 10 CHI-SQUARE = 3456.7804 DOF = 1070 P(0) = 134.230 P(1) = 8.34327E-06 P(2) = 196.498 P(3) = 348.168 P(4) = 0.000130000 P(5) = 0.317153 Iter 11 CHI-SQUARE = 3456.3666 DOF = 1070 P(0) = 134.035 P(1) = 8.04718E-06 P(2) = 195.586 P(3) = 348.211 P(4) = 0.000130000 P(5) = 0.287515 Iter 12 CHI-SQUARE = 3453.9277 DOF = 1070 P(0) = 134.341 P(1) = 7.95395E-06 P(2) = 195.400 P(3) = 348.339 P(4) = 0.000130000 P(5) = 0.338758 Iter 13 CHI-SQUARE = 3453.1177 DOF = 1070 P(0) = 133.455 P(1) = 7.68886E-06 P(2) = 194.123 P(3) = 348.200 P(4) = 0.000130000 P(5) = 0.323013 Iter 14 CHI-SQUARE = 3450.8028 DOF = 1070 P(0) = 133.545 P(1) = 7.40633E-06 P(2) = 193.095 P(3) = 348.437 P(4) = 0.000130000 P(5) = 0.335113 Iter 15 CHI-SQUARE = 3449.7899 DOF = 1070 P(0) = 134.232 P(1) = 7.29022E-06 P(2) = 193.089 P(3) = 348.680 P(4) = 0.000130000 P(5) = 0.344746 Iter 16 CHI-SQUARE = 3448.9731 DOF = 1070 P(0) = 133.820 P(1) = 7.14963E-06 P(2) = 192.778 P(3) = 348.447 P(4) = 0.000130000 P(5) = 0.335261 Iter 17 CHI-SQUARE = 3448.5215 DOF = 1070 P(0) = 134.328 P(1) = 7.02656E-06 P(2) = 192.546 P(3) = 348.672 P(4) = 0.000130000 P(5) = 0.355639 Iter 18 CHI-SQUARE = 3447.2619 DOF = 1070 P(0) = 133.909 P(1) = 6.88238E-06 P(2) = 192.033 P(3) = 348.528 P(4) = 0.000130000 P(5) = 0.355073 Iter 19 CHI-SQUARE = 3446.8978 DOF = 1070 P(0) = 134.205 P(1) = 6.75561E-06 P(2) = 191.673 P(3) = 348.728 P(4) = 0.000130000 P(5) = 0.356032 Iter 20 CHI-SQUARE = 3446.3521 DOF = 1070 P(0) = 133.910 P(1) = 6.63107E-06 P(2) = 191.292 P(3) = 348.637 P(4) = 0.000130000 P(5) = 0.333924 Iter 21 CHI-SQUARE = 3445.5347 DOF = 1070 P(0) = 133.770 P(1) = 6.50065E-06 P(2) = 190.707 P(3) = 348.690 P(4) = 0.000130000 P(5) = 0.347222 Iter 22 CHI-SQUARE = 3445.3398 DOF = 1070 P(0) = 133.697 P(1) = 6.44588E-06 P(2) = 190.503 P(3) = 348.701 P(4) = 0.000130000 P(5) = 0.348370 Iter 23 CHI-SQUARE = 3445.1805 DOF = 1070 P(0) = 133.625 P(1) = 6.41157E-06 P(2) = 190.158 P(3) = 348.764 P(4) = 0.000130000 P(5) = 0.365256 Iter 24 CHI-SQUARE = 3444.8583 DOF = 1070 P(0) = 133.899 P(1) = 6.38181E-06 P(2) = 190.080 P(3) = 348.945 P(4) = 0.000130000 P(5) = 0.357506 Iter 25 CHI-SQUARE = 3444.8373 DOF = 1070 P(0) = 133.537 P(1) = 6.29835E-06 P(2) = 189.788 P(3) = 348.767 P(4) = 0.000130000 P(5) = 0.356821 Iter 26 CHI-SQUARE = 3444.3748 DOF = 1070 P(0) = 133.740 P(1) = 6.26284E-06 P(2) = 189.680 P(3) = 348.896 P(4) = 0.000130000 P(5) = 0.363388 Iter 27 CHI-SQUARE = 3444.2646 DOF = 1070 P(0) = 133.941 P(1) = 6.24386E-06 P(2) = 189.841 P(3) = 348.878 P(4) = 0.000130000 P(5) = 0.365022 Iter 28 CHI-SQUARE = 3444.0230 DOF = 1070 P(0) = 134.017 P(1) = 6.18058E-06 P(2) = 189.745 P(3) = 348.895 P(4) = 0.000130000 P(5) = 0.360709 Iter 29 CHI-SQUARE = 3443.5913 DOF = 1070 P(0) = 133.680 P(1) = 6.05874E-06 P(2) = 189.187 P(3) = 348.846 P(4) = 0.000130000 P(5) = 0.354661 Iter 30 CHI-SQUARE = 3443.0829 DOF = 1070 P(0) = 134.067 P(1) = 5.93988E-06 P(2) = 188.993 P(3) = 348.988 P(4) = 0.000130000 P(5) = 0.362620 Iter 31 CHI-SQUARE = 3442.8555 DOF = 1070 P(0) = 133.779 P(1) = 5.90183E-06 P(2) = 188.884 P(3) = 348.853 P(4) = 0.000130000 P(5) = 0.356088 Iter 32 CHI-SQUARE = 3442.7556 DOF = 1070 P(0) = 134.051 P(1) = 5.86246E-06 P(2) = 188.741 P(3) = 349.033 P(4) = 0.000130000 P(5) = 0.359313 Iter 33 CHI-SQUARE = 3442.7524 DOF = 1070 P(0) = 134.188 P(1) = 5.80914E-06 P(2) = 188.709 P(3) = 349.053 P(4) = 0.000130000 P(5) = 0.355488 Iter 34 CHI-SQUARE = 3442.4989 DOF = 1070 P(0) = 134.088 P(1) = 5.78701E-06 P(2) = 188.726 P(3) = 348.943 P(4) = 0.000130000 P(5) = 0.359574 Iter 35 CHI-SQUARE = 3442.4075 DOF = 1070 P(0) = 133.885 P(1) = 5.79727E-06 P(2) = 188.569 P(3) = 348.940 P(4) = 0.000130000 P(5) = 0.358027 Iter 36 CHI-SQUARE = 3442.3280 DOF = 1070 P(0) = 133.956 P(1) = 5.77175E-06 P(2) = 188.452 P(3) = 349.019 P(4) = 0.000130000 P(5) = 0.359326 Iter 37 CHI-SQUARE = 3442.2356 DOF = 1070 P(0) = 133.969 P(1) = 5.74537E-06 P(2) = 188.383 P(3) = 349.014 P(4) = 0.000130000 P(5) = 0.362461 Iter 38 CHI-SQUARE = 3442.1921 DOF = 1070 P(0) = 133.979 P(1) = 5.73228E-06 P(2) = 188.350 P(3) = 349.020 P(4) = 0.000130000 P(5) = 0.362278 Iter 39 CHI-SQUARE = 3442.1202 DOF = 1070 P(0) = 133.913 P(1) = 5.72077E-06 P(2) = 188.261 P(3) = 349.007 P(4) = 0.000130000 P(5) = 0.364118 Iter 40 CHI-SQUARE = 3442.0679 DOF = 1070 P(0) = 134.004 P(1) = 5.69417E-06 P(2) = 188.209 P(3) = 349.057 P(4) = 0.000130000 P(5) = 0.361873 Iter 41 CHI-SQUARE = 3441.9530 DOF = 1070 P(0) = 133.824 P(1) = 5.67801E-06 P(2) = 188.137 P(3) = 348.969 P(4) = 0.000130000 P(5) = 0.361742 Iter 42 CHI-SQUARE = 3441.7784 DOF = 1070 P(0) = 133.859 P(1) = 5.62822E-06 P(2) = 187.932 P(3) = 349.047 P(4) = 0.000130000 P(5) = 0.356392 Iter 43 CHI-SQUARE = 3441.5814 DOF = 1070 P(0) = 133.876 P(1) = 5.57809E-06 P(2) = 187.771 P(3) = 349.061 P(4) = 0.000130000 P(5) = 0.361294 Iter 44 CHI-SQUARE = 3441.5666 DOF = 1070 P(0) = 133.814 P(1) = 5.57263E-06 P(2) = 187.740 P(3) = 349.034 P(4) = 0.000130000 P(5) = 0.361788 Iter 45 CHI-SQUARE = 3441.5069 DOF = 1070 P(0) = 133.834 P(1) = 5.55730E-06 P(2) = 187.666 P(3) = 349.068 P(4) = 0.000130000 P(5) = 0.362222 Iter 46 CHI-SQUARE = 3441.4670 DOF = 1070 P(0) = 133.707 P(1) = 5.52834E-06 P(2) = 187.465 P(3) = 349.058 P(4) = 0.000130000 P(5) = 0.364852 Iter 47 CHI-SQUARE = 3441.4647 DOF = 1070 P(0) = 133.612 P(1) = 5.49664E-06 P(2) = 187.295 P(3) = 349.063 P(4) = 0.000130000 P(5) = 0.360662 Iter 48 CHI-SQUARE = 3441.2887 DOF = 1070 P(0) = 133.741 P(1) = 5.48536E-06 P(2) = 187.214 P(3) = 349.186 P(4) = 0.000130000 P(5) = 0.359957 Iter 49 CHI-SQUARE = 3441.1459 DOF = 1070 P(0) = 133.879 P(1) = 5.45520E-06 P(2) = 187.300 P(3) = 349.143 P(4) = 0.000130000 P(5) = 0.362118 Iter 50 CHI-SQUARE = 3441.1000 DOF = 1070 P(0) = 133.758 P(1) = 5.43498E-06 P(2) = 187.229 P(3) = 349.086 P(4) = 0.000130000 P(5) = 0.363222 Iter 51 CHI-SQUARE = 3440.9521 DOF = 1070 P(0) = 133.943 P(1) = 5.39223E-06 P(2) = 187.186 P(3) = 349.156 P(4) = 0.000130000 P(5) = 0.359826 Iter 52 CHI-SQUARE = 3440.9155 DOF = 1070 P(0) = 133.834 P(1) = 5.38869E-06 P(2) = 187.152 P(3) = 349.105 P(4) = 0.000130000 P(5) = 0.362469 Iter 53 CHI-SQUARE = 3440.8580 DOF = 1070 P(0) = 133.832 P(1) = 5.36873E-06 P(2) = 187.089 P(3) = 349.125 P(4) = 0.000130000 P(5) = 0.358041 Iter 54 CHI-SQUARE = 3440.8076 DOF = 1070 P(0) = 133.935 P(1) = 5.35010E-06 P(2) = 187.044 P(3) = 349.177 P(4) = 0.000130000 P(5) = 0.359286 Iter 55 CHI-SQUARE = 3440.7231 DOF = 1070 P(0) = 133.897 P(1) = 5.32943E-06 P(2) = 187.003 P(3) = 349.135 P(4) = 0.000130000 P(5) = 0.364293 Iter 56 CHI-SQUARE = 3440.7200 DOF = 1070 P(0) = 133.877 P(1) = 5.33042E-06 P(2) = 187.012 P(3) = 349.119 P(4) = 0.000130000 P(5) = 0.363242 Iter 57 CHI-SQUARE = 3440.7123 DOF = 1070 P(0) = 133.863 P(1) = 5.32867E-06 P(2) = 187.009 P(3) = 349.113 P(4) = 0.000130000 P(5) = 0.362853 Iter 58 CHI-SQUARE = 3440.6974 DOF = 1070 P(0) = 133.861 P(1) = 5.32431E-06 P(2) = 186.988 P(3) = 349.124 P(4) = 0.000130000 P(5) = 0.362534 Iter 59 CHI-SQUARE = 3440.6680 DOF = 1070 P(0) = 133.853 P(1) = 5.31557E-06 P(2) = 186.948 P(3) = 349.131 P(4) = 0.000130000 P(5) = 0.362125 Iter 60 CHI-SQUARE = 3440.6102 DOF = 1070 P(0) = 133.852 P(1) = 5.29816E-06 P(2) = 186.872 P(3) = 349.145 P(4) = 0.000130000 P(5) = 0.362328 Iter 61 CHI-SQUARE = 3440.5265 DOF = 1070 P(0) = 133.840 P(1) = 5.26438E-06 P(2) = 186.721 P(3) = 349.156 P(4) = 0.000130000 P(5) = 0.369858 Iter 62 CHI-SQUARE = 3440.2995 DOF = 1070 P(0) = 133.780 P(1) = 5.19560E-06 P(2) = 186.471 P(3) = 349.175 P(4) = 0.000130000 P(5) = 0.358891 Iter 63 CHI-SQUARE = 3440.2671 DOF = 1070 P(0) = 134.078 P(1) = 5.13130E-06 P(2) = 186.508 P(3) = 349.210 P(4) = 0.000130000 P(5) = 0.369504 Iter 64 CHI-SQUARE = 3440.0528 DOF = 1070 P(0) = 134.014 P(1) = 5.06363E-06 P(2) = 186.303 P(3) = 349.224 P(4) = 0.000130000 P(5) = 0.347154 Iter 65 CHI-SQUARE = 3439.8683 DOF = 1070 P(0) = 134.118 P(1) = 4.99283E-06 P(2) = 186.133 P(3) = 349.250 P(4) = 0.000130000 P(5) = 0.361005 Iter 66 CHI-SQUARE = 3439.5491 DOF = 1070 P(0) = 133.992 P(1) = 4.92124E-06 P(2) = 185.789 P(3) = 349.253 P(4) = 0.000130000 P(5) = 0.370866 Iter 67 CHI-SQUARE = 3439.3707 DOF = 1070 P(0) = 134.049 P(1) = 4.85127E-06 P(2) = 185.617 P(3) = 349.294 P(4) = 0.000130000 P(5) = 0.359831 Iter 68 CHI-SQUARE = 3439.2137 DOF = 1070 P(0) = 133.767 P(1) = 4.82648E-06 P(2) = 185.450 P(3) = 349.202 P(4) = 0.000130000 P(5) = 0.357191 Iter 69 CHI-SQUARE = 3439.1247 DOF = 1070 P(0) = 133.793 P(1) = 4.79349E-06 P(2) = 185.244 P(3) = 349.295 P(4) = 0.000130000 P(5) = 0.355369 Iter 70 CHI-SQUARE = 3439.0890 DOF = 1070 P(0) = 133.820 P(1) = 4.79359E-06 P(2) = 185.214 P(3) = 349.315 P(4) = 0.000130000 P(5) = 0.360101 Iter 71 CHI-SQUARE = 3439.0510 DOF = 1070 P(0) = 133.827 P(1) = 4.78227E-06 P(2) = 185.186 P(3) = 349.310 P(4) = 0.000130000 P(5) = 0.363358 Iter 72 CHI-SQUARE = 3439.0173 DOF = 1070 P(0) = 133.736 P(1) = 4.75975E-06 P(2) = 185.050 P(3) = 349.298 P(4) = 0.000130000 P(5) = 0.364763 Iter 73 CHI-SQUARE = 3438.9584 DOF = 1070 P(0) = 133.895 P(1) = 4.74254E-06 P(2) = 185.022 P(3) = 349.389 P(4) = 0.000130000 P(5) = 0.360796 Iter 74 CHI-SQUARE = 3438.9043 DOF = 1070 P(0) = 133.766 P(1) = 4.72329E-06 P(2) = 184.961 P(3) = 349.310 P(4) = 0.000130000 P(5) = 0.364586 Iter 75 CHI-SQUARE = 3438.8423 DOF = 1070 P(0) = 133.702 P(1) = 4.67880E-06 P(2) = 184.767 P(3) = 349.326 P(4) = 0.000130000 P(5) = 0.358649 Iter 76 CHI-SQUARE = 3438.7688 DOF = 1070 P(0) = 133.799 P(1) = 4.67584E-06 P(2) = 184.786 P(3) = 349.357 P(4) = 0.000130000 P(5) = 0.363815 Iter 77 CHI-SQUARE = 3438.7394 DOF = 1070 P(0) = 133.737 P(1) = 4.65583E-06 P(2) = 184.699 P(3) = 349.338 P(4) = 0.000130000 P(5) = 0.365704 Iter 78 CHI-SQUARE = 3438.7390 DOF = 1070 P(0) = 134.020 P(1) = 4.62091E-06 P(2) = 184.822 P(3) = 349.370 P(4) = 0.000130000 P(5) = 0.367158 Iter 79 CHI-SQUARE = 3438.6165 DOF = 1070 P(0) = 133.951 P(1) = 4.59950E-06 P(2) = 184.733 P(3) = 349.354 P(4) = 0.000130000 P(5) = 0.366240 Iter 80 CHI-SQUARE = 3438.5575 DOF = 1070 P(0) = 134.013 P(1) = 4.55478E-06 P(2) = 184.628 P(3) = 349.389 P(4) = 0.000130000 P(5) = 0.359783 Iter 81 CHI-SQUARE = 3438.5510 DOF = 1070 P(0) = 134.076 P(1) = 4.50952E-06 P(2) = 184.543 P(3) = 349.387 P(4) = 0.000130000 P(5) = 0.369500 Iter 82 CHI-SQUARE = 3438.3347 DOF = 1070 P(0) = 133.931 P(1) = 4.49253E-06 P(2) = 184.511 P(3) = 349.313 P(4) = 0.000130000 P(5) = 0.361858 Iter 83 CHI-SQUARE = 3438.3223 DOF = 1070 P(0) = 133.860 P(1) = 4.49787E-06 P(2) = 184.431 P(3) = 349.328 P(4) = 0.000130000 P(5) = 0.362196 Iter 84 CHI-SQUARE = 3438.3220 DOF = 1070 P(0) = 133.852 P(1) = 4.49854E-06 P(2) = 184.411 P(3) = 349.337 P(4) = 0.000130000 P(5) = 0.362758 Iter 85 CHI-SQUARE = 3438.3216 DOF = 1070 P(0) = 133.847 P(1) = 4.49872E-06 P(2) = 184.399 P(3) = 349.341 P(4) = 0.000130000 P(5) = 0.363039 Iter 86 CHI-SQUARE = 3438.3204 DOF = 1070 P(0) = 133.842 P(1) = 4.49852E-06 P(2) = 184.385 P(3) = 349.346 P(4) = 0.000130000 P(5) = 0.363311 Iter 87 CHI-SQUARE = 3438.3173 DOF = 1070 P(0) = 133.837 P(1) = 4.49735E-06 P(2) = 184.377 P(3) = 349.347 P(4) = 0.000130000 P(5) = 0.363405 Iter 88 CHI-SQUARE = 3438.3147 DOF = 1070 P(0) = 133.833 P(1) = 4.49639E-06 P(2) = 184.359 P(3) = 349.354 P(4) = 0.000130000 P(5) = 0.363617 Iter 89 CHI-SQUARE = 3438.3093 DOF = 1070 P(0) = 133.831 P(1) = 4.49420E-06 P(2) = 184.345 P(3) = 349.360 P(4) = 0.000130000 P(5) = 0.363622 Iter 90 CHI-SQUARE = 3438.3093 DOF = 1070 P(0) = 133.831 P(1) = 4.49420E-06 P(2) = 184.345 P(3) = 349.360 P(4) = 0.000130000 P(5) = 0.363622 FITMOONPLUSLINE: sdR-b1-00034675.fit: fit coeffs: 133.83131 4.4942010e-06 184.34468 349.36034 0.00013000000 0.36362245 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034675.fit: changing 5460.94 correction from 0.0337924 to -0.046449935 pixels, err= 0.014112596 LOCATESKYLINES_2: sdR-b1-00034675.fit: applying -0.02 pixel correction to 0.09 0.07 0.58 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 FITMEANX: sdR-b1-00034675.fit: In skyline number 0 std-dev is 0.13814487 pix FITMEANX: sdR-b1-00034675.fit: In skyline number 1 std-dev is 0.078510169 pix FITMEANX: sdR-b1-00034675.fit: In skyline number 2 std-dev is 0.060094351 pix FITMEANX: sdR-b1-00034675.fit: In skyline number 3 std-dev is 0.014855106 pix FITMEANX: sdR-b1-00034675.fit: In skyline number 4 std-dev is 0.035599010 pix FITMEANX: sdR-b1-00034675.fit: In skyline number 5 std-dev is 0.044736455 pix LOCATESKYLINES_2: sdR-b1-00034675.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034675.fit: In sky feature at 4046.5600 coadded std-dev is 0.0840772 pix LOCATESKYLINES_2: sdR-b1-00034675.fit: In sky feature at 4358.3300 coadded std-dev is 0.0227375 pix LOCATESKYLINES_2: sdR-b1-00034675.fit: In sky feature at 5460.9400 coadded std-dev is 0.0141126 pix LOCATESKYLINES_2: sdR-b1-00034675.fit: In sky feature at 5577.3390 coadded std-dev is 0.00373324 pix LOCATESKYLINES_2: sdR-b1-00034675.fit: In sky feature at 5889.9500 coadded std-dev is 0.00789884 pix LOCATESKYLINES_2: sdR-b1-00034675.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034675.fit: Median arc shift = -0.028751087 pix LOCATESKYLINES_2: sdR-b1-00034675.fit: Dispersion in arc shift = 0.082083868 pix LOCATESKYLINES_2: sdR-b1-00034675.fit: Maximum sky-line shift is 0.15825654 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Number of sky fibers = 29 ROW NITER SIG(med) CHI^2 .0000 3 0.90 0.53 .0001 1 0.90 0.24 .0002 1 0.90 0.26 .0003 1 0.90 0.18 .0004 1 0.90 0.21 .0005 1 0.90 0.20 .0006 1 0.90 0.28 .0007 7 0.90 0.23 .0008 1 0.90 0.07 .0009 1 0.90 0.29 .0010 1 0.90 0.17 .0011 1 0.90 0.24 .0012 1 0.90 0.25 .0013 1 0.90 0.22 .0014 1 0.90 0.18 .0015 1 0.90 0.09 .0016 1 0.90 0.44 .0017 1 0.90 0.06 .0018 4 0.90 0.39 .0019 4 0.90 0.44 .0020 1 0.90 0.30 .0021 1 0.90 0.21 .0022 1 0.90 0.26 .0023 1 0.90 0.37 .0024 2 0.90 0.35 .0025 1 0.90 0.23 .0026 2 0.90 0.15 .0027 1 0.90 0.17 .0028 1 0.90 0.07 .0029 3 0.90 0.43 .0030 1 0.90 0.36 .0031 1 0.90 0.17 .0032 1 0.90 0.08 .0033 3 0.90 0.41 .0034 1 0.90 0.29 .0035 1 0.90 0.36 .0036 8 0.90 0.23 .0037 1 0.90 0.45 .0038 2 0.90 0.31 .0039 1 0.90 0.21 .0040 1 0.91 0.29 .0041 1 0.91 0.29 .0042 1 0.91 0.35 .0043 1 0.91 0.09 .0044 1 0.91 0.07 .0045 1 0.91 0.32 .0046 1 0.91 0.19 .0047 1 0.91 0.31 .0048 1 0.91 0.36 .0049 1 0.91 0.20 .0050 1 0.91 0.32 .0051 1 0.91 0.25 .0052 1 0.91 0.29 .0053 1 0.91 0.33 .0054 1 0.91 0.26 .0055 1 0.91 0.28 .0056 1 0.91 0.22 .0057 1 0.91 0.34 .0058 1 0.91 0.31 .0059 1 0.91 0.17 .0060 1 0.88 0.10 .0061 1 0.88 0.10 .0062 1 0.88 0.07 .0063 1 0.88 0.10 .0064 1 0.88 0.08 .0065 1 0.88 0.08 .0066 1 0.88 0.36 .0067 1 0.88 0.09 .0068 1 0.88 0.10 .0069 1 0.88 0.08 .0070 1 0.88 0.08 .0071 2 0.88 0.34 .0072 1 0.88 0.10 .0073 1 0.88 0.10 .0074 1 0.88 0.08 .0075 1 0.88 0.12 .0076 1 0.88 0.23 .0077 2 0.88 0.34 .0078 1 0.88 0.06 .0079 2 0.88 0.32 .0080 1 0.87 0.31 .0081 1 0.87 0.21 .0082 1 0.87 0.25 .0083 1 0.87 0.38 .0084 2 0.87 0.42 .0085 1 0.87 0.23 .0086 1 0.87 0.33 .0087 1 0.87 0.26 .0088 1 0.87 0.27 .0089 1 0.87 0.10 .0090 0 0.87 0.00 .0091 1 0.87 0.06 .0092 1 0.87 0.17 .0093 1 0.87 0.25 .0094 4 0.87 0.36 .0095 1 0.87 0.08 .0096 1 0.87 0.32 .0097 1 0.87 0.23 .0098 1 0.87 0.22 .0099 1 0.87 0.32 .0100 1 0.87 0.08 .0101 1 0.87 0.08 .0102 1 0.87 0.08 .0103 1 0.87 0.11 .0104 1 0.87 0.08 .0105 1 0.87 0.11 .0106 1 0.87 0.09 .0107 1 0.87 0.09 .0108 1 0.87 0.12 .0109 1 0.87 0.08 .0110 1 0.87 0.08 .0111 1 0.87 0.10 .0112 1 0.87 0.09 .0113 1 0.87 0.10 .0114 1 0.87 0.08 .0115 1 0.87 0.11 .0116 1 0.87 0.09 .0117 1 0.87 0.12 .0118 1 0.87 0.10 .0119 1 0.87 0.10 .0120 1 0.89 0.44 .0121 2 0.89 0.37 .0122 1 0.89 0.20 .0123 1 0.89 0.07 .0124 1 0.89 0.10 .0125 3 0.89 0.43 .0126 1 0.89 0.07 .0127 1 0.89 0.23 .0128 1 0.89 0.34 .0129 1 0.89 0.15 .0130 1 0.89 0.35 .0131 1 0.89 0.43 .0132 2 0.89 0.26 .0133 10 0.89 0.13 .0134 1 0.89 0.09 .0135 1 0.89 0.29 .0136 1 0.89 0.37 .0137 9 0.89 0.17 .0138 2 0.89 0.43 .0139 3 0.89 0.53 .0140 1 0.89 0.09 .0141 1 0.89 0.10 .0142 1 0.89 0.10 .0143 1 0.89 0.13 .0144 1 0.89 0.09 .0145 1 0.89 0.10 .0146 1 0.89 0.08 .0147 1 0.89 0.10 .0148 1 0.89 0.09 .0149 1 0.89 0.26 .0150 1 0.89 0.10 .0151 1 0.89 0.10 .0152 1 0.89 0.10 .0153 1 0.89 0.09 .0154 1 0.89 0.10 .0155 1 0.89 0.10 .0156 1 0.89 0.09 .0157 1 0.89 0.11 .0158 1 0.89 0.10 .0159 1 0.89 0.10 .0160 1 0.89 0.11 .0161 1 0.89 0.09 .0162 1 0.89 0.09 .0163 1 0.89 0.09 .0164 1 0.89 0.11 .0165 1 0.89 0.10 .0166 1 0.89 0.09 .0167 1 0.89 0.10 .0168 1 0.89 0.10 .0169 1 0.89 0.09 .0170 1 0.89 0.09 .0171 1 0.89 0.10 .0172 1 0.89 0.10 .0173 1 0.89 0.11 .0174 1 0.89 0.11 .0175 1 0.89 0.09 .0176 1 0.89 0.10 .0177 1 0.89 0.10 .0178 1 0.89 0.10 .0179 1 0.89 0.11 .0180 1 0.90 0.28 .0181 1 0.90 0.11 .0182 1 0.90 0.10 .0183 1 0.90 0.10 .0184 1 0.90 0.09 .0185 1 0.90 0.10 .0186 1 0.90 0.11 .0187 1 0.90 0.10 .0188 1 0.90 0.12 .0189 1 0.90 0.09 .0190 1 0.90 0.10 .0191 2 0.90 0.11 .0192 1 0.90 0.09 .0193 1 0.90 0.10 .0194 1 0.90 0.18 .0195 1 0.90 0.10 .0196 1 0.90 0.10 .0197 1 0.90 0.19 .0198 1 0.90 0.10 .0199 1 0.90 0.11 .0200 1 0.90 0.24 .0201 1 0.90 0.41 .0202 1 0.90 0.27 .0203 1 0.90 0.08 .0204 1 0.90 0.26 .0205 1 0.90 0.20 .0206 1 0.90 0.14 .0207 1 0.90 0.26 .0208 1 0.90 0.18 .0209 1 0.90 0.33 .0210 1 0.90 0.36 .0211 8 0.90 0.20 .0212 1 0.90 0.23 .0213 1 0.90 0.24 .0214 1 0.90 0.28 .0215 1 0.90 0.21 .0216 1 0.90 0.09 .0217 3 0.90 0.47 .0218 1 0.90 0.12 .0219 1 0.90 0.50 .0220 1 0.89 0.41 .0221 1 0.89 0.10 .0222 1 0.89 0.28 .0223 1 0.89 0.08 .0224 2 0.89 0.47 .0225 1 0.89 0.21 .0226 1 0.89 0.34 .0227 1 0.89 0.30 .0228 5 0.89 0.29 .0229 1 0.89 0.10 .0230 1 0.89 0.12 .0231 2 0.89 0.36 .0232 1 0.89 0.10 .0233 1 0.89 0.10 .0234 1 0.89 0.09 .0235 1 0.89 0.09 .0236 1 0.89 0.08 .0237 1 0.89 0.09 .0238 1 0.89 0.09 .0239 2 0.89 0.24 .0240 1 0.91 0.26 .0241 3 0.91 0.43 .0242 1 0.91 0.10 .0243 1 0.91 0.26 .0244 1 0.91 0.21 .0245 1 0.91 0.08 .0246 1 0.91 0.17 .0247 1 0.91 0.23 .0248 1 0.91 0.19 .0249 1 0.91 0.26 .0250 1 0.91 0.25 .0251 0 0.91 0.00 .0252 1 0.91 0.27 .0253 2 0.91 0.60 .0254 1 0.91 0.28 .0255 1 0.91 0.10 .0256 1 0.91 0.21 .0257 1 0.91 0.34 .0258 1 0.91 0.27 .0259 1 0.91 0.20 .0260 1 0.93 0.23 .0261 1 0.93 0.18 .0262 1 0.93 0.09 .0263 1 0.93 0.24 .0264 7 0.93 0.30 .0265 6 0.93 0.30 .0266 1 0.93 0.11 .0267 1 0.93 0.07 .0268 1 0.93 0.24 .0269 1 0.93 0.32 .0270 1 0.93 0.26 .0271 2 0.93 0.36 .0272 4 0.93 0.44 .0273 1 0.93 0.06 .0274 4 0.93 0.28 .0275 1 0.93 0.34 .0276 5 0.93 0.46 .0277 1 0.93 0.25 .0278 1 0.93 0.26 .0279 1 0.93 0.10 .0280 1 0.91 0.26 .0281 1 0.91 0.20 .0282 1 0.91 0.25 .0283 1 0.91 0.07 .0284 1 0.91 0.23 .0285 1 0.91 0.21 .0286 1 0.91 0.15 .0287 1 0.91 0.14 .0288 1 0.91 0.27 .0289 1 0.91 0.09 .0290 6 0.91 0.20 .0291 1 0.91 0.25 .0292 1 0.91 0.14 .0293 1 0.91 0.24 .0294 0 0.91 0.00 .0295 2 0.91 0.34 .0296 1 0.91 0.22 .0297 1 0.91 0.39 .0298 1 0.91 0.27 .0299 1 0.91 0.14 .0300 2 0.92 0.22 .0301 1 0.92 0.15 .0302 1 0.92 0.19 .0303 7 0.92 0.31 .0304 1 0.92 0.19 .0305 1 0.92 0.19 .0306 1 0.92 0.28 .0307 1 0.92 0.39 .0308 1 0.92 0.15 .0309 1 0.92 0.31 .0310 3 0.92 0.40 .0311 1 0.92 0.10 .0312 1 0.92 0.33 .0313 4 0.92 0.37 .0314 1 0.92 0.09 .0315 3 0.92 0.43 .0316 2 0.92 0.39 .0317 1 0.92 0.09 .0318 1 0.92 0.26 .0319 1 0.92 0.20 EXTRACT_IMAGE: sdR-b1-00034675.fit: masked 186 pixels SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 0 median sigma(arc)= 0.88147973 sigma(sky)= -2.4702901 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 0 sigma^2(add)= 3.4719142 +/- 76481.847 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 1 median sigma(arc)= 0.88162750 sigma(sky)= 0.40873060 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 1 sigma^2(add)= -0.25660636 +/- 0.32101118 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 2 median sigma(arc)= 0.89241929 sigma(sky)= 0.96763179 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 2 sigma^2(add)= 0.13989852 +/- 0.11364010 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 3 median sigma(arc)= 0.89801145 sigma(sky)= 1.0230832 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 3 sigma^2(add)= 0.24027439 +/- 0.42444215 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 4 median sigma(arc)= 0.99969441 sigma(sky)= 1.3833132 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 4 sigma^2(add)= 0.91416666 +/- 0.73704004 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 5 median sigma(arc)= 1.0480654 sigma(sky)= 1.4775697 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Line # 5 sigma^2(add)= 5758.8295 +/- 71740.976 SKYLINE_DISPERSION: sdR-b1-00034675.fit: Flexure sigma^2(add) = 0.095639616 +/- 0.18171484 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034675.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b1-00034675.fit: Heliocentric correction = 23.408088 km/s FITVACSET: sdR-b1-00034675.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034675.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034675.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034675.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b1-00034675.fit: Number of sky fibers = 29 SKYSUBTRACT: sdR-b1-00034675.fit: Airmass range = 1.32991 1.38481 SKYSUBTRACT: sdR-b1-00034675.fit: Discarding 0.00503435 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 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Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034675.fit: Median sky-residual chi2 = 2.03140 SKYSUBTRACT: sdR-b1-00034675.fit: Max sky-residual chi2 = 6.07711 EXTRACT_OBJECT: sdR-b1-00034675.fit: Calling skysubtract again; masked skyfibers 8 17 28 32 SKYSUBTRACT: sdR-b1-00034675.fit: Number of sky fibers = 25 SKYSUBTRACT: sdR-b1-00034675.fit: Airmass range = 1.32991 1.38481 SKYSUBTRACT: sdR-b1-00034675.fit: Discarding 0.00503906 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 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1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034675.fit: Median sky-residual chi2 = 1.29492 SKYSUBTRACT: sdR-b1-00034675.fit: Max sky-residual chi2 = 3.26154 QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 44 = -31.2917 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 45 = -22.7844 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 102 = 10.9489 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 124 = 14.3891 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 157 = 14.1568 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 274 = -13.7079 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 318 = 10.4169 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Median sky-residual chi = 1.14364 QAPLOT_SKYSUB: sdR-b1-00034675.fit: Max sky-residual chi = 1.91064 at 5427.3681 Ang SKYSUBTRACT: sdR-b1-00034675.fit: Number of sky fibers = 25 SKYSUBTRACT: sdR-b1-00034675.fit: Airmass range = 1.32991 1.38481 SKYSUBTRACT: sdR-b1-00034675.fit: Discarding 0.00503906 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 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of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034675.fit: Median sky-residual chi2 = 1.27306 SKYSUBTRACT: sdR-b1-00034675.fit: Max sky-residual chi2 = 3.65054 QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 44 = -18.7715 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 102 = 11.7191 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 124 = 12.1778 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 268 = -12.5528 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 274 = -15.8127 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 315 = 12.3896 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Warning: Median sky-sub flux in sky fiber 318 = 15.0775 electrons QAPLOT_SKYSUB: sdR-b1-00034675.fit: Median sky-residual chi = 1.12355 QAPLOT_SKYSUB: sdR-b1-00034675.fit: Max sky-residual chi = 1.88745 at 3803.5898 Ang % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b1-00034675.fit: Airmass range = 1.33 1.38 QAPLOT_SKYLINE: sdR-b1-00034675.fit: Flux dispersion for skyline 4359.5 = 12.37 % QAPLOT_SKYLINE: sdR-b1-00034675.fit: Airmass range = 1.33 1.38 QAPLOT_SKYLINE: sdR-b1-00034675.fit: Flux dispersion for skyline 5578.9 = 1.63 % SPADD_GUIDERINFO: sdR-b1-00034675.fit: Number of guider frames = 9 SPREDUCE: sdR-b1-00034675.fit: Elapsed time = 192. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 652. seconds SPREDUCE2D: Time to reduce camera b1 = 652. seconds READPLUGMAP: b2: Rescaling SCI_EXPTIME values by 240.10000 READPLUGMAP: b2: Adding fields from calibObj file READPLUGMAP: b2: LIED about EBV. Set to 0.3 PLUG2TSOBJ: b2: WARNING: calibObj file not found for plate 2338 READPLUGMAP: b2: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: b2: Number of missing fibers: 4 SPCALIB: b2: Tracing flat # 1 of 2 SPCALIB: b2: Reading flat sdR-b2-00034673.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opECalib-51577.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.89815 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1226.16 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1207. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.34462 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1199.09 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Tracing 320 fibers in sdR-b2-00034673.fit TRACE320CEN: b2: Big gap at fiber= 20, x= 138.68, dx= 8.03 TRACE320CEN: b2: Big gap at fiber= 40, x= 265.93, dx= 9.20 TRACE320CEN: b2: Big gap at fiber= 60, x= 391.35, dx= 8.00 TRACE320CEN: b2: Big gap at fiber= 80, x= 516.84, dx= 8.25 TRACE320CEN: b2: Big gap at fiber= 100, x= 642.03, dx= 8.21 TRACE320CEN: b2: Big gap at fiber= 160, x=1014.57, dx= 8.30 TRACE320CEN: b2: Big gap at fiber= 200, x=1262.64, dx= 7.90 TRACE320CEN: b2: Big gap at fiber= 220, x=1387.61, dx= 8.21 TRACE320CEN: b2: Big gap at fiber= 240, x=1512.26, dx= 7.85 TRACE320CEN: b2: Big gap at fiber= 260, x=1637.85, dx= 8.07 TRACE320CEN: b2: Big gap at fiber= 280, x=1763.17, dx= 8.05 TRACE320CEN: b2: Big gap at fiber= 300, x=1890.53, dx= 9.40 TRACE320CRUDE: b2: Warning: Fixing traces: 202 241 263 292 311 SPCALIB: b2: Fitting traces in sdR-b2-00034673.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 60 23 2048 65 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 4 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 38 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 1 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 1 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 169 SPCALIB: b2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 1 1.00 1.21 .0001 1 1.00 1.17 .0002 1 1.00 1.11 .0003 1 1.00 1.17 .0004 1 1.00 1.21 .0005 1 1.00 1.27 .0006 1 1.00 1.06 .0007 1 1.00 1.04 .0008 2 1.00 1.22 .0009 1 1.00 1.22 .0010 1 1.00 1.11 .0011 1 1.00 1.12 .0012 1 1.00 1.09 .0013 1 1.00 1.09 .0014 1 1.00 1.18 .0015 1 1.00 1.15 .0016 1 1.00 1.19 .0017 1 1.00 1.11 .0018 1 1.00 1.11 .0019 1 1.00 1.12 .0020 1 1.00 1.06 .0021 1 1.00 1.14 .0022 1 1.00 1.18 .0023 1 1.00 1.04 .0024 1 1.00 1.10 .0025 1 1.00 1.08 .0026 1 1.00 1.13 .0027 1 1.00 1.11 .0028 1 1.00 1.11 .0029 1 1.00 0.95 .0030 1 1.00 1.09 .0031 1 1.00 1.13 .0032 1 1.00 1.11 .0033 1 1.00 1.09 .0034 1 1.00 1.14 .0035 1 1.00 1.21 .0036 2 1.00 1.09 .0037 1 1.00 1.17 .0038 1 1.00 1.10 .0039 1 1.00 1.16 .0040 1 1.00 1.07 .0041 1 1.00 1.06 .0042 1 1.00 1.10 .0043 1 1.00 1.04 .0044 1 1.00 1.15 .0045 1 1.00 1.18 .0046 1 1.00 1.11 .0047 1 1.00 1.16 .0048 1 1.00 1.16 .0049 1 1.00 1.10 .0050 1 1.00 1.12 .0051 1 1.00 1.11 .0052 1 1.00 1.13 .0053 1 1.00 1.01 .0054 1 1.00 1.10 .0055 1 1.00 1.04 .0056 1 1.00 1.10 .0057 1 1.00 1.05 .0058 1 1.00 1.06 .0059 1 1.00 1.04 .0060 1 1.00 1.04 .0061 1 1.00 1.09 .0062 1 1.00 1.18 .0063 1 1.00 1.05 .0064 1 1.00 1.09 .0065 1 1.00 1.12 .0066 1 1.00 1.04 .0067 1 1.00 1.10 .0068 1 1.00 1.08 .0069 1 1.00 1.05 .0070 1 1.00 1.03 .0071 1 1.00 1.05 .0072 1 1.00 1.08 .0073 1 1.00 1.07 .0074 1 1.00 1.04 .0075 1 1.00 1.12 .0076 1 1.00 1.10 .0077 1 1.00 1.01 .0078 1 1.00 1.18 .0079 1 1.00 1.10 .0080 1 1.00 1.10 .0081 1 1.00 1.21 .0082 1 1.00 1.09 .0083 1 1.00 1.11 .0084 3 1.00 1.10 .0085 1 1.00 1.16 .0086 1 1.00 1.14 .0087 1 1.00 1.21 .0088 1 1.00 1.18 .0089 1 1.00 1.17 .0090 1 1.00 1.16 .0091 1 1.00 1.22 .0092 1 1.00 1.16 .0093 1 1.00 1.16 .0094 1 1.00 1.20 .0095 1 1.00 1.18 .0096 1 1.00 1.23 .0097 1 1.00 1.18 .0098 1 1.00 1.25 .0099 3 1.00 1.23 .0100 1 1.00 1.24 .0101 1 1.00 1.18 .0102 1 1.00 1.31 .0103 1 1.00 1.16 .0104 1 1.00 1.27 .0105 1 1.00 1.22 .0106 1 1.00 1.20 .0107 1 1.00 1.26 .0108 1 1.00 1.19 .0109 1 1.00 1.33 .0110 1 1.00 1.23 .0111 1 1.00 1.30 .0112 1 1.00 1.29 .0113 1 1.00 1.29 .0114 1 1.00 1.16 .0115 1 1.00 1.30 .0116 1 1.00 1.29 .0117 1 1.00 1.28 .0118 1 1.00 1.33 .0119 1 1.00 1.24 .0120 1 1.00 1.29 .0121 1 1.00 1.32 .0122 1 1.00 1.30 .0123 1 1.00 1.25 .0124 1 1.00 1.31 .0125 1 1.00 1.22 .0126 1 1.00 1.33 .0127 1 1.00 1.34 .0128 1 1.00 1.36 .0129 1 1.00 1.33 .0130 1 1.00 1.31 .0131 1 1.00 1.26 .0132 1 1.00 1.24 .0133 1 1.00 1.30 .0134 1 1.00 1.25 .0135 1 1.00 1.22 .0136 1 1.00 1.34 .0137 1 1.00 1.26 .0138 1 1.00 1.23 .0139 1 1.00 1.33 .0140 1 1.00 1.30 .0141 1 1.00 1.31 .0142 1 1.00 1.22 .0143 1 1.00 1.32 .0144 1 1.00 1.25 .0145 2 1.00 1.34 .0146 1 1.00 1.25 .0147 2 1.00 1.33 .0148 2 1.00 1.31 .0149 1 1.00 1.39 .0150 1 1.00 1.33 .0151 1 1.00 1.26 .0152 1 1.00 1.56 .0153 1 1.00 1.30 .0154 1 1.00 1.26 .0155 1 1.00 1.28 .0156 1 1.00 1.24 .0157 1 1.00 1.20 .0158 1 1.00 1.29 .0159 1 1.00 1.30 .0160 1 1.00 1.29 .0161 1 1.00 1.27 .0162 1 1.00 1.29 .0163 1 1.00 1.40 .0164 1 1.00 1.35 .0165 1 1.00 1.31 .0166 1 1.00 1.25 .0167 1 1.00 1.20 .0168 1 1.00 1.19 .0169 1 1.00 1.34 .0170 1 1.00 1.25 .0171 1 1.00 1.27 .0172 2 1.00 1.27 .0173 1 1.00 1.34 .0174 1 1.00 1.30 .0175 1 1.00 1.31 .0176 1 1.00 1.26 .0177 1 1.00 1.25 .0178 1 1.00 1.26 .0179 1 1.00 1.27 .0180 1 1.00 1.31 .0181 1 1.00 1.36 .0182 1 1.00 1.27 .0183 1 1.00 1.28 .0184 2 1.00 1.43 .0185 1 1.00 1.30 .0186 1 1.00 1.23 .0187 1 1.00 1.30 .0188 1 1.00 1.27 .0189 1 1.00 1.25 .0190 1 1.00 1.33 .0191 1 1.00 1.40 .0192 1 1.00 1.28 .0193 1 1.00 1.30 .0194 1 1.00 1.35 .0195 1 1.00 1.27 .0196 1 1.00 1.36 .0197 1 1.00 1.35 .0198 1 1.00 1.33 .0199 1 1.00 1.37 .0200 1 1.00 1.37 .0201 1 1.00 1.33 .0202 1 1.00 1.23 .0203 1 1.00 1.28 .0204 1 1.00 1.39 .0205 1 1.00 1.38 .0206 1 1.00 1.33 .0207 1 1.00 1.38 .0208 1 1.00 1.31 .0209 1 1.00 1.37 .0210 1 1.00 1.37 .0211 1 1.00 1.26 .0212 1 1.00 1.32 .0213 1 1.00 1.29 .0214 1 1.00 1.38 .0215 1 1.00 1.34 .0216 1 1.00 1.43 .0217 1 1.00 1.34 .0218 1 1.00 1.37 .0219 1 1.00 1.31 .0220 1 1.00 1.37 .0221 1 1.00 1.32 .0222 1 1.00 1.39 .0223 2 1.00 1.24 .0224 1 1.00 1.32 .0225 2 1.00 1.42 .0226 2 1.00 1.64 .0227 1 1.00 1.33 .0228 1 1.00 1.39 .0229 1 1.00 1.38 .0230 1 1.00 1.29 .0231 1 1.00 1.32 .0232 1 1.00 1.42 .0233 1 1.00 1.39 .0234 1 1.00 1.44 .0235 1 1.00 1.34 .0236 1 1.00 1.41 .0237 1 1.00 1.30 .0238 1 1.00 1.47 .0239 1 1.00 1.35 .0240 1 1.00 1.43 .0241 1 1.00 1.46 .0242 1 1.00 1.27 .0243 1 1.00 1.38 .0244 1 1.00 1.41 .0245 1 1.00 1.32 .0246 1 1.00 1.28 .0247 1 1.00 1.46 .0248 1 1.00 1.35 .0249 1 1.00 1.40 .0250 1 1.00 1.51 .0251 1 1.00 1.45 .0252 1 1.00 1.51 .0253 1 1.00 1.43 .0254 1 1.00 1.38 .0255 1 1.00 1.49 .0256 3 1.00 1.53 .0257 3 1.00 1.46 .0258 2 1.00 1.51 .0259 1 1.00 1.49 .0260 1 1.00 1.47 .0261 1 1.00 1.39 .0262 1 1.00 1.45 .0263 1 1.00 1.48 .0264 1 1.00 1.49 .0265 1 1.00 1.49 .0266 1 1.00 1.41 .0267 1 1.00 1.49 .0268 1 1.00 1.41 .0269 1 1.00 1.55 .0270 1 1.00 1.52 .0271 1 1.00 1.49 .0272 1 1.00 1.68 .0273 1 1.00 1.48 .0274 1 1.00 1.44 .0275 1 1.00 1.50 .0276 2 1.00 1.48 .0277 1 1.00 1.52 .0278 1 1.00 1.59 .0279 1 1.00 1.57 .0280 1 1.00 1.56 .0281 1 1.00 1.65 .0282 1 1.00 1.62 .0283 1 1.00 1.52 .0284 1 1.00 1.53 .0285 1 1.00 1.58 .0286 1 1.00 1.58 .0287 1 1.00 1.68 .0288 1 1.00 1.68 .0289 1 1.00 1.74 .0290 1 1.00 1.67 .0291 1 1.00 1.58 .0292 1 1.00 1.73 .0293 1 1.00 1.81 .0294 1 1.00 1.77 .0295 1 1.00 1.76 .0296 1 1.00 1.67 .0297 1 1.00 1.78 .0298 1 1.00 1.77 .0299 1 1.00 1.73 .0300 1 1.00 1.89 .0301 1 1.00 1.88 .0302 1 1.00 1.89 .0303 1 1.00 1.80 .0304 1 1.00 1.83 .0305 1 1.00 1.74 .0306 1 1.00 1.95 .0307 1 1.00 1.84 .0308 1 1.00 1.89 .0309 1 1.00 1.91 .0310 1 1.00 2.03 .0311 2 1.00 1.94 .0312 1 1.00 1.87 .0313 1 1.00 1.92 .0314 1 1.00 2.01 .0315 1 1.00 1.95 .0316 1 1.00 1.91 .0317 1 1.00 2.05 .0318 1 1.00 2.01 .0319 1 1.00 2.12 .0320 1 1.00 2.16 .0321 1 1.00 2.05 .0322 1 1.00 2.00 .0323 1 1.00 2.05 .0324 1 1.00 2.19 .0325 1 1.00 2.04 .0326 1 1.00 2.21 .0327 1 1.00 2.14 .0328 1 1.00 2.12 .0329 1 1.00 2.01 .0330 1 1.00 2.23 .0331 1 1.00 2.12 .0332 1 1.00 2.26 .0333 1 1.00 2.20 .0334 1 1.00 2.27 .0335 1 1.00 2.25 .0336 1 1.00 2.28 .0337 1 1.00 2.35 .0338 1 1.00 2.28 .0339 1 1.00 2.28 .0340 1 1.00 2.46 .0341 1 1.00 2.42 .0342 1 1.00 2.34 .0343 1 1.00 2.42 .0344 1 1.00 2.41 .0345 1 1.00 2.46 .0346 1 1.00 2.39 .0347 1 1.00 2.47 .0348 1 1.00 2.47 .0349 2 1.00 2.50 .0350 2 1.00 2.60 .0351 1 1.00 2.60 .0352 1 1.00 2.55 .0353 1 1.00 2.63 .0354 3 1.00 2.64 .0355 2 1.00 3.04 .0356 3 1.00 2.66 .0357 2 1.00 3.05 .0358 1 1.00 2.74 .0359 1 1.00 3.14 .0360 2 1.00 2.63 .0361 1 1.00 2.70 .0362 1 1.00 2.75 .0363 1 1.00 2.78 .0364 1 1.00 2.75 .0365 1 1.00 2.67 .0366 1 1.00 2.62 .0367 1 1.00 2.71 .0368 1 1.00 2.81 .0369 1 1.00 2.78 .0370 1 1.00 2.76 .0371 1 1.00 2.76 .0372 1 1.00 2.77 .0373 1 1.00 2.76 .0374 1 1.00 2.76 .0375 1 1.00 2.80 .0376 1 1.00 2.95 .0377 1 1.00 2.79 .0378 1 1.00 2.96 .0379 1 1.00 2.89 .0380 1 1.00 2.84 .0381 1 1.00 2.86 .0382 1 1.00 3.01 .0383 1 1.00 2.98 .0384 1 1.00 2.92 .0385 1 1.00 2.90 .0386 1 1.00 3.00 .0387 1 1.00 3.06 .0388 1 1.00 2.97 .0389 1 1.00 2.98 .0390 1 1.00 3.00 .0391 1 1.00 3.12 .0392 1 1.00 3.14 .0393 1 1.00 3.07 .0394 1 1.00 3.02 .0395 1 1.00 3.07 .0396 1 1.00 3.02 .0397 1 1.00 3.01 .0398 1 1.00 3.19 .0399 1 1.00 3.06 .0400 1 1.00 3.34 .0401 1 1.00 3.15 .0402 1 1.00 3.14 .0403 1 1.00 3.02 .0404 1 1.00 3.21 .0405 1 1.00 3.31 .0406 1 1.00 3.14 .0407 1 1.00 3.01 .0408 1 1.00 3.30 .0409 1 1.00 3.06 .0410 1 1.00 3.20 .0411 1 1.00 3.18 .0412 1 1.00 3.29 .0413 3 1.00 3.15 .0414 1 1.00 3.25 .0415 1 1.00 3.25 .0416 1 1.00 3.69 .0417 1 1.00 3.27 .0418 1 1.00 3.23 .0419 1 1.00 3.20 .0420 1 1.00 3.25 .0421 1 1.00 3.43 .0422 1 1.00 3.28 .0423 1 1.00 3.39 .0424 1 1.00 3.40 .0425 1 1.00 3.37 .0426 1 1.00 3.49 .0427 1 1.00 3.34 .0428 1 1.00 3.31 .0429 1 1.00 3.31 .0430 1 1.00 3.46 .0431 1 1.00 3.46 .0432 1 1.00 3.38 .0433 1 1.00 3.61 .0434 1 1.00 3.46 .0435 1 1.00 3.53 .0436 1 1.00 3.66 .0437 1 1.00 3.44 .0438 1 1.00 3.59 .0439 1 1.00 3.54 .0440 1 1.00 3.73 .0441 2 1.00 3.90 .0442 1 1.00 3.60 .0443 1 1.00 3.82 .0444 1 1.00 3.65 .0445 1 1.00 3.52 .0446 1 1.00 3.53 .0447 1 1.00 3.59 .0448 1 1.00 3.52 .0449 1 1.00 3.70 .0450 1 1.00 3.47 .0451 2 1.00 3.53 .0452 1 1.00 3.83 .0453 1 1.00 3.57 .0454 1 1.00 3.56 .0455 1 1.00 3.61 .0456 1 1.00 3.55 .0457 1 1.00 3.60 .0458 1 1.00 3.74 .0459 1 1.00 3.54 .0460 1 1.00 3.52 .0461 1 1.00 3.81 .0462 1 1.00 3.51 .0463 1 1.00 3.54 .0464 1 1.00 3.61 .0465 1 1.00 3.57 .0466 1 1.00 3.56 .0467 1 1.00 3.75 .0468 1 1.00 3.75 .0469 1 1.00 3.67 .0470 1 1.00 3.73 .0471 1 1.00 3.79 .0472 1 1.00 3.79 .0473 1 1.00 3.74 .0474 1 1.00 3.84 .0475 1 1.00 3.75 .0476 1 1.00 3.75 .0477 1 1.00 3.86 .0478 1 1.00 4.17 .0479 1 1.00 3.73 .0480 1 1.00 3.65 .0481 1 1.00 3.67 .0482 1 1.00 3.80 .0483 1 1.00 3.68 .0484 1 1.00 3.71 .0485 1 1.00 3.90 .0486 1 1.00 3.79 .0487 1 1.00 3.61 .0488 1 1.00 3.60 .0489 1 1.00 3.68 .0490 1 1.00 3.71 .0491 1 1.00 3.65 .0492 1 1.00 3.59 .0493 1 1.00 3.49 .0494 1 1.00 3.65 .0495 1 1.00 3.50 .0496 1 1.00 3.46 .0497 1 1.00 3.71 .0498 1 1.00 3.66 .0499 1 1.00 3.46 .0500 1 1.00 3.44 .0501 1 1.00 3.50 .0502 1 1.00 3.61 .0503 1 1.00 3.52 .0504 1 1.00 3.46 .0505 1 1.00 3.47 .0506 1 1.00 3.41 .0507 1 1.00 3.57 .0508 1 1.00 3.58 .0509 1 1.00 3.62 .0510 1 1.00 3.48 .0511 1 1.00 3.71 .0512 1 1.00 3.55 .0513 1 1.00 3.49 .0514 1 1.00 3.63 .0515 1 1.00 3.75 .0516 2 1.00 3.60 .0517 1 1.00 3.59 .0518 1 1.00 3.52 .0519 1 1.00 3.51 .0520 1 1.00 3.49 .0521 1 1.00 3.54 .0522 1 1.00 3.41 .0523 1 1.00 3.67 .0524 1 1.00 3.56 .0525 1 1.00 3.83 .0526 1 1.00 3.38 .0527 1 1.00 3.60 .0528 1 1.00 3.69 .0529 1 1.00 3.73 .0530 1 1.00 3.48 .0531 1 1.00 3.41 .0532 1 1.00 3.48 .0533 1 1.00 3.32 .0534 1 1.00 3.41 .0535 1 1.00 3.44 .0536 1 1.00 3.44 .0537 1 1.00 3.52 .0538 1 1.00 3.52 .0539 1 1.00 3.44 .0540 1 1.00 3.62 .0541 1 1.00 3.48 .0542 1 1.00 3.51 .0543 2 1.00 3.46 .0544 1 1.00 3.34 .0545 1 1.00 3.47 .0546 1 1.00 3.64 .0547 1 1.00 3.39 .0548 1 1.00 3.43 .0549 1 1.00 3.66 .0550 2 1.00 3.41 .0551 1 1.00 3.44 .0552 1 1.00 3.50 .0553 1 1.00 3.52 .0554 1 1.00 3.57 .0555 1 1.00 3.56 .0556 1 1.00 3.37 .0557 1 1.00 3.40 .0558 1 1.00 3.39 .0559 1 1.00 3.56 .0560 1 1.00 3.43 .0561 1 1.00 3.46 .0562 1 1.00 3.44 .0563 1 1.00 3.57 .0564 1 1.00 3.41 .0565 2 1.00 3.55 .0566 2 1.00 4.02 .0567 1 1.00 3.29 .0568 1 1.00 3.50 .0569 1 1.00 3.38 .0570 1 1.00 3.38 .0571 1 1.00 3.29 .0572 1 1.00 3.47 .0573 1 1.00 3.35 .0574 1 1.00 3.31 .0575 1 1.00 3.20 .0576 1 1.00 3.53 .0577 1 1.00 3.37 .0578 1 1.00 3.32 .0579 1 1.00 3.24 .0580 1 1.00 3.45 .0581 1 1.00 3.41 .0582 1 1.00 3.22 .0583 1 1.00 3.32 .0584 1 1.00 3.23 .0585 1 1.00 3.32 .0586 1 1.00 3.18 .0587 1 1.00 3.30 .0588 1 1.00 3.30 .0589 1 1.00 3.18 .0590 1 1.00 3.28 .0591 1 1.00 3.22 .0592 1 1.00 3.09 .0593 1 1.00 3.14 .0594 1 1.00 3.20 .0595 1 1.00 3.41 .0596 1 1.00 3.32 .0597 1 1.00 3.12 .0598 1 1.00 3.15 .0599 1 1.00 3.08 .0600 1 1.00 3.22 .0601 1 1.00 3.16 .0602 1 1.00 3.23 .0603 1 1.00 3.14 .0604 1 1.00 3.24 .0605 1 1.00 3.19 .0606 1 1.00 3.07 .0607 1 1.00 3.38 .0608 1 1.00 3.20 .0609 1 1.00 3.18 .0610 1 1.00 3.28 .0611 1 1.00 3.06 .0612 1 1.00 3.04 .0613 1 1.00 3.21 .0614 1 1.00 3.16 .0615 1 1.00 3.12 .0616 1 1.00 3.22 .0617 1 1.00 3.10 .0618 1 1.00 3.05 .0619 1 1.00 3.13 .0620 1 1.00 3.08 .0621 1 1.00 3.23 .0622 1 1.00 3.02 .0623 1 1.00 3.15 .0624 1 1.00 3.00 .0625 1 1.00 3.14 .0626 1 1.00 3.19 .0627 1 1.00 3.20 .0628 1 1.00 3.09 .0629 1 1.00 2.98 .0630 1 1.00 3.04 .0631 1 1.00 2.97 .0632 1 1.00 2.98 .0633 1 1.00 3.13 .0634 1 1.00 3.12 .0635 1 1.00 3.03 .0636 1 1.00 3.04 .0637 1 1.00 3.19 .0638 1 1.00 3.05 .0639 1 1.00 3.12 .0640 1 1.00 2.95 .0641 1 1.00 3.10 .0642 1 1.00 2.84 .0643 1 1.00 2.96 .0644 1 1.00 2.97 .0645 1 1.00 2.99 .0646 1 1.00 3.10 .0647 1 1.00 2.96 .0648 1 1.00 2.94 .0649 1 1.00 2.98 .0650 1 1.00 3.00 .0651 1 1.00 2.96 .0652 1 1.00 2.92 .0653 1 1.00 3.52 .0654 2 1.00 3.26 .0655 1 1.00 3.31 .0656 1 1.00 3.04 .0657 1 1.00 2.96 .0658 1 1.00 2.94 .0659 1 1.00 2.86 .0660 1 1.00 2.93 .0661 1 1.00 3.03 .0662 1 1.00 3.06 .0663 1 1.00 3.16 .0664 2 1.00 3.04 .0665 3 1.00 3.08 .0666 2 1.00 2.99 .0667 3 1.00 3.14 .0668 1 1.00 3.16 .0669 1 1.00 3.03 .0670 1 1.00 3.14 .0671 1 1.00 3.05 .0672 1 1.00 3.06 .0673 1 1.00 3.07 .0674 1 1.00 3.20 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1.00 3.37 .1841 1 1.00 3.46 .1842 1 1.00 3.52 .1843 1 1.00 3.21 .1844 1 1.00 3.35 .1845 1 1.00 3.31 .1846 1 1.00 3.40 .1847 1 1.00 3.42 .1848 1 1.00 3.44 .1849 1 1.00 3.56 .1850 1 1.00 3.67 .1851 1 1.00 3.48 .1852 1 1.00 3.35 .1853 1 1.00 3.33 .1854 1 1.00 3.43 .1855 1 1.00 3.48 .1856 1 1.00 3.37 .1857 1 1.00 3.25 .1858 1 1.00 3.54 .1859 1 1.00 3.50 .1860 1 1.00 3.28 .1861 1 1.00 3.86 .1862 1 1.00 3.66 .1863 1 1.00 3.45 .1864 1 1.00 3.36 .1865 1 1.00 3.36 .1866 1 1.00 3.44 .1867 1 1.00 3.29 .1868 1 1.00 3.45 .1869 1 1.00 3.43 .1870 1 1.00 3.39 .1871 1 1.00 3.49 .1872 1 1.00 3.41 .1873 1 1.00 3.37 .1874 1 1.00 3.44 .1875 1 1.00 3.72 .1876 1 1.00 3.36 .1877 1 1.00 3.34 .1878 1 1.00 3.61 .1879 1 1.00 3.24 .1880 1 1.00 3.54 .1881 1 1.00 3.43 .1882 2 1.00 3.56 .1883 1 1.00 3.34 .1884 1 1.00 3.46 .1885 1 1.00 3.73 .1886 1 1.00 3.48 .1887 1 1.00 3.41 .1888 1 1.00 3.21 .1889 1 1.00 3.31 .1890 1 1.00 3.41 .1891 1 1.00 3.26 .1892 1 1.00 3.46 .1893 1 1.00 3.20 .1894 1 1.00 3.51 .1895 1 1.00 3.25 .1896 1 1.00 3.30 .1897 1 1.00 3.33 .1898 1 1.00 3.17 .1899 1 1.00 3.56 .1900 2 1.00 3.67 .1901 1 1.00 3.21 .1902 1 1.00 3.38 .1903 1 1.00 3.32 .1904 1 1.00 3.29 .1905 1 1.00 3.12 .1906 1 1.00 3.21 .1907 1 1.00 3.36 .1908 1 1.00 3.38 .1909 1 1.00 3.19 .1910 1 1.00 3.38 .1911 1 1.00 3.24 .1912 1 1.00 3.24 .1913 1 1.00 3.08 .1914 1 1.00 3.11 .1915 1 1.00 3.26 .1916 1 1.00 3.33 .1917 3 1.00 3.38 .1918 1 1.00 3.43 .1919 1 1.00 3.07 .1920 1 1.00 3.19 .1921 1 1.00 3.19 .1922 1 1.00 3.35 .1923 1 1.00 3.10 .1924 1 1.00 3.12 .1925 1 1.00 3.13 .1926 1 1.00 3.14 .1927 1 1.00 2.95 .1928 1 1.00 3.05 .1929 1 1.00 3.15 .1930 1 1.00 3.14 .1931 1 1.00 3.06 .1932 1 1.00 3.03 .1933 2 1.00 3.13 .1934 1 1.00 3.07 .1935 1 1.00 3.21 .1936 1 1.00 3.07 .1937 1 1.00 3.10 .1938 1 1.00 3.14 .1939 1 1.00 3.09 .1940 1 1.00 3.06 .1941 1 1.00 3.07 .1942 1 1.00 3.06 .1943 1 1.00 3.15 .1944 1 1.00 3.01 .1945 1 1.00 3.00 .1946 1 1.00 2.93 .1947 1 1.00 3.19 .1948 1 1.00 3.01 .1949 1 1.00 3.03 .1950 1 1.00 2.95 .1951 1 1.00 3.14 .1952 1 1.00 2.92 .1953 1 1.00 2.88 .1954 1 1.00 3.06 .1955 1 1.00 2.96 .1956 1 1.00 3.05 .1957 1 1.00 3.08 .1958 1 1.00 3.07 .1959 1 1.00 2.90 .1960 1 1.00 2.91 .1961 1 1.00 3.02 .1962 1 1.00 3.02 .1963 1 1.00 2.83 .1964 1 1.00 2.91 .1965 2 1.00 2.98 .1966 1 1.00 2.92 .1967 1 1.00 3.03 .1968 1 1.00 3.36 .1969 2 1.00 2.97 .1970 1 1.00 3.00 .1971 1 1.00 3.20 .1972 1 1.00 2.91 .1973 1 1.00 2.84 .1974 1 1.00 2.87 .1975 1 1.00 2.86 .1976 1 1.00 2.92 .1977 1 1.00 2.82 .1978 1 1.00 2.94 .1979 1 1.00 3.32 .1980 1 1.00 2.65 .1981 1 1.00 2.71 .1982 1 1.00 2.71 .1983 1 1.00 2.76 .1984 2 1.00 2.77 .1985 2 1.00 2.85 .1986 1 1.00 2.90 .1987 1 1.00 2.73 .1988 1 1.00 2.57 .1989 1 1.00 2.87 .1990 1 1.00 2.76 .1991 1 1.00 2.64 .1992 3 1.00 2.72 .1993 3 1.00 2.87 .1994 1 1.00 2.64 .1995 1 1.00 2.81 .1996 2 1.00 2.71 .1997 1 1.00 2.77 .1998 1 1.00 2.52 .1999 1 1.00 2.52 .2000 1 1.00 2.68 .2001 1 1.00 2.49 .2002 1 1.00 2.69 .2003 1 1.00 2.61 .2004 1 1.00 2.80 .2005 1 1.00 2.54 .2006 1 1.00 2.63 .2007 1 1.00 2.50 .2008 2 1.00 2.57 .2009 1 1.00 2.86 .2010 1 1.00 2.65 .2011 1 1.00 2.78 .2012 1 1.00 2.59 .2013 1 1.00 2.32 .2014 1 1.00 2.56 .2015 1 1.00 2.54 .2016 1 1.00 2.56 .2017 1 1.00 2.48 .2018 2 1.00 2.57 .2019 1 1.00 2.48 .2020 1 1.00 2.50 .2021 1 1.00 2.61 .2022 1 1.00 2.65 .2023 1 1.00 2.35 .2024 1 1.00 2.33 .2025 1 1.00 2.39 .2026 1 1.00 2.27 .2027 1 1.00 2.52 .2028 1 1.00 2.52 .2029 1 1.00 2.43 .2030 3 1.00 2.42 .2031 2 1.00 2.56 .2032 1 1.00 2.55 .2033 3 1.00 2.74 .2034 1 1.00 2.69 .2035 1 1.00 2.27 .2036 1 1.00 2.20 .2037 1 1.00 2.32 .2038 1 1.00 2.38 .2039 1 1.00 2.30 .2040 1 1.00 2.21 .2041 1 1.00 2.32 .2042 1 1.00 2.25 .2043 1 1.00 2.29 .2044 1 1.00 2.36 .2045 1 1.00 2.25 .2046 1 1.00 2.39 .2047 1 1.00 2.36 EXTRACT_IMAGE: b2: masked 136 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITFLATWIDTH: b2: Median spatial widths = 0.91 0.91 0.90 0.91 pix (LL LR UL UR) SPCALIB: b2: Using Cubic, median chi squareds: vs SPCALIB: b2: Found 0 bright pixels in extracted flat sdR-b2-00034673.fit SPCALIB: b2: Tracing flat # 2 of 2 SPCALIB: b2: Reading flat sdR-b2-00034676.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.89986 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1225.94 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1207. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.33044 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1199.09 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Tracing 320 fibers in sdR-b2-00034676.fit TRACE320CEN: b2: Big gap at fiber= 20, x= 138.62, dx= 8.04 TRACE320CEN: b2: Big gap at fiber= 40, x= 265.88, dx= 9.21 TRACE320CEN: b2: Big gap at fiber= 60, x= 391.29, dx= 7.99 TRACE320CEN: b2: Big gap at fiber= 80, x= 516.78, dx= 8.27 TRACE320CEN: b2: Big gap at fiber= 100, x= 641.98, dx= 8.21 TRACE320CEN: b2: Big gap at fiber= 160, x=1014.50, dx= 8.28 TRACE320CEN: b2: Big gap at fiber= 200, x=1262.56, dx= 7.90 TRACE320CEN: b2: Big gap at fiber= 220, x=1387.54, dx= 8.22 TRACE320CEN: b2: Big gap at fiber= 240, x=1512.20, dx= 7.86 TRACE320CEN: b2: Big gap at fiber= 260, x=1637.78, dx= 8.07 TRACE320CEN: b2: Big gap at fiber= 280, x=1763.11, dx= 8.05 TRACE320CEN: b2: Big gap at fiber= 300, x=1890.45, dx= 9.38 TRACE320CRUDE: b2: Warning: Fixing traces: 202 241 263 292 311 SPCALIB: b2: Fitting traces in sdR-b2-00034676.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 56 23 2048 67 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 59 61 2048 0 62 2048 0 63 2048 0 64 2048 4 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 2 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 188 SPCALIB: b2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 1 1.00 1.17 .0001 1 1.00 1.18 .0002 1 1.00 1.26 .0003 1 1.00 1.20 .0004 1 1.00 1.29 .0005 1 1.00 1.19 .0006 1 1.00 1.16 .0007 3 1.00 1.15 .0008 1 1.00 1.12 .0009 1 1.00 1.22 .0010 1 1.00 1.13 .0011 1 1.00 1.19 .0012 1 1.00 1.13 .0013 1 1.00 1.14 .0014 1 1.00 1.16 .0015 1 1.00 1.15 .0016 1 1.00 1.13 .0017 1 1.00 1.18 .0018 1 1.00 1.14 .0019 1 1.00 1.09 .0020 1 1.00 1.13 .0021 1 1.00 1.10 .0022 1 1.00 1.11 .0023 1 1.00 1.11 .0024 1 1.00 1.13 .0025 1 1.00 1.18 .0026 1 1.00 1.11 .0027 1 1.00 1.14 .0028 1 1.00 1.01 .0029 1 1.00 1.09 .0030 1 1.00 1.15 .0031 1 1.00 1.13 .0032 1 1.00 1.06 .0033 1 1.00 1.07 .0034 1 1.00 1.03 .0035 1 1.00 1.07 .0036 1 1.00 1.05 .0037 1 1.00 1.14 .0038 1 1.00 1.09 .0039 1 1.00 1.10 .0040 1 1.00 1.13 .0041 3 1.00 1.14 .0042 1 1.00 1.01 .0043 1 1.00 1.08 .0044 1 1.00 1.08 .0045 1 1.00 1.26 .0046 2 1.00 1.15 .0047 1 1.00 1.03 .0048 1 1.00 1.14 .0049 1 1.00 1.18 .0050 1 1.00 1.10 .0051 1 1.00 1.10 .0052 1 1.00 1.08 .0053 1 1.00 1.13 .0054 1 1.00 1.07 .0055 1 1.00 1.06 .0056 1 1.00 1.12 .0057 1 1.00 1.09 .0058 1 1.00 1.02 .0059 1 1.00 1.05 .0060 1 1.00 1.11 .0061 2 1.00 1.14 .0062 1 1.00 1.01 .0063 1 1.00 1.09 .0064 1 1.00 1.11 .0065 1 1.00 1.09 .0066 1 1.00 1.09 .0067 2 1.00 1.00 .0068 1 1.00 1.21 .0069 1 1.00 1.12 .0070 1 1.00 1.02 .0071 1 1.00 1.03 .0072 1 1.00 1.15 .0073 1 1.00 1.05 .0074 1 1.00 1.13 .0075 1 1.00 1.10 .0076 1 1.00 1.09 .0077 1 1.00 1.06 .0078 1 1.00 1.34 .0079 2 1.00 1.21 .0080 1 1.00 1.18 .0081 1 1.00 1.09 .0082 1 1.00 1.18 .0083 1 1.00 1.12 .0084 1 1.00 1.16 .0085 1 1.00 1.15 .0086 1 1.00 1.10 .0087 1 1.00 1.20 .0088 1 1.00 1.16 .0089 1 1.00 1.27 .0090 1 1.00 1.10 .0091 2 1.00 1.19 .0092 3 1.00 1.17 .0093 1 1.00 1.21 .0094 1 1.00 1.20 .0095 1 1.00 1.22 .0096 1 1.00 1.19 .0097 1 1.00 1.21 .0098 1 1.00 1.22 .0099 1 1.00 1.23 .0100 1 1.00 1.22 .0101 1 1.00 1.14 .0102 1 1.00 1.20 .0103 1 1.00 1.21 .0104 1 1.00 1.19 .0105 1 1.00 1.22 .0106 1 1.00 1.18 .0107 2 1.00 1.29 .0108 1 1.00 1.28 .0109 1 1.00 1.27 .0110 1 1.00 1.30 .0111 1 1.00 1.36 .0112 1 1.00 1.34 .0113 1 1.00 1.23 .0114 1 1.00 1.21 .0115 1 1.00 1.27 .0116 1 1.00 1.33 .0117 1 1.00 1.30 .0118 1 1.00 1.26 .0119 1 1.00 1.30 .0120 3 1.00 1.26 .0121 1 1.00 1.58 .0122 1 1.00 1.32 .0123 1 1.00 1.24 .0124 1 1.00 1.31 .0125 1 1.00 1.27 .0126 2 1.00 1.27 .0127 1 1.00 1.24 .0128 1 1.00 1.29 .0129 2 1.00 1.25 .0130 1 1.00 1.24 .0131 1 1.00 1.30 .0132 1 1.00 1.28 .0133 1 1.00 1.27 .0134 1 1.00 1.23 .0135 3 1.00 1.30 .0136 1 1.00 1.25 .0137 1 1.00 1.28 .0138 1 1.00 1.34 .0139 1 1.00 1.37 .0140 1 1.00 1.26 .0141 1 1.00 1.18 .0142 1 1.00 1.27 .0143 1 1.00 1.27 .0144 1 1.00 1.28 .0145 1 1.00 1.24 .0146 1 1.00 1.18 .0147 1 1.00 1.21 .0148 1 1.00 1.34 .0149 1 1.00 1.18 .0150 1 1.00 1.24 .0151 1 1.00 1.24 .0152 1 1.00 1.31 .0153 1 1.00 1.34 .0154 1 1.00 1.31 .0155 1 1.00 1.36 .0156 1 1.00 1.27 .0157 1 1.00 1.23 .0158 1 1.00 1.24 .0159 1 1.00 1.33 .0160 1 1.00 1.31 .0161 1 1.00 1.23 .0162 1 1.00 1.25 .0163 1 1.00 1.30 .0164 1 1.00 1.19 .0165 1 1.00 1.33 .0166 1 1.00 1.24 .0167 1 1.00 1.32 .0168 1 1.00 1.22 .0169 1 1.00 1.27 .0170 1 1.00 1.32 .0171 1 1.00 1.56 .0172 2 1.00 1.38 .0173 1 1.00 1.33 .0174 1 1.00 1.28 .0175 1 1.00 1.26 .0176 1 1.00 1.27 .0177 2 1.00 1.25 .0178 1 1.00 1.23 .0179 1 1.00 1.27 .0180 1 1.00 1.44 .0181 3 1.00 1.27 .0182 1 1.00 1.26 .0183 1 1.00 1.24 .0184 1 1.00 1.24 .0185 1 1.00 1.28 .0186 1 1.00 1.30 .0187 1 1.00 1.27 .0188 1 1.00 1.29 .0189 1 1.00 1.32 .0190 1 1.00 1.27 .0191 1 1.00 1.29 .0192 1 1.00 1.29 .0193 1 1.00 1.31 .0194 1 1.00 1.22 .0195 1 1.00 1.27 .0196 1 1.00 1.30 .0197 1 1.00 1.29 .0198 1 1.00 1.34 .0199 1 1.00 1.36 .0200 1 1.00 1.29 .0201 1 1.00 1.27 .0202 1 1.00 1.26 .0203 2 1.00 1.34 .0204 2 1.00 1.27 .0205 1 1.00 1.26 .0206 1 1.00 1.40 .0207 1 1.00 1.41 .0208 1 1.00 1.33 .0209 1 1.00 1.29 .0210 1 1.00 1.29 .0211 1 1.00 1.30 .0212 1 1.00 1.31 .0213 1 1.00 1.30 .0214 1 1.00 1.36 .0215 1 1.00 1.41 .0216 2 1.00 1.41 .0217 2 1.00 1.31 .0218 2 1.00 1.34 .0219 3 1.00 1.44 .0220 1 1.00 1.38 .0221 1 1.00 1.36 .0222 1 1.00 1.37 .0223 1 1.00 1.35 .0224 1 1.00 1.41 .0225 1 1.00 1.44 .0226 2 1.00 1.40 .0227 2 1.00 1.35 .0228 1 1.00 1.37 .0229 1 1.00 1.41 .0230 1 1.00 1.53 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1.00 3.30 .1508 1 1.00 3.32 .1509 1 1.00 3.55 .1510 1 1.00 3.38 .1511 1 1.00 3.54 .1512 2 1.00 3.46 .1513 1 1.00 3.54 .1514 1 1.00 3.56 .1515 1 1.00 3.33 .1516 1 1.00 3.44 .1517 1 1.00 3.47 .1518 1 1.00 3.53 .1519 1 1.00 3.59 .1520 1 1.00 3.48 .1521 1 1.00 3.29 .1522 1 1.00 3.68 .1523 1 1.00 3.41 .1524 1 1.00 3.40 .1525 1 1.00 3.42 .1526 1 1.00 3.44 .1527 1 1.00 3.39 .1528 1 1.00 3.41 .1529 1 1.00 3.51 .1530 1 1.00 3.43 .1531 1 1.00 3.43 .1532 1 1.00 3.41 .1533 1 1.00 3.47 .1534 1 1.00 3.43 .1535 1 1.00 3.45 .1536 1 1.00 3.46 .1537 1 1.00 3.59 .1538 1 1.00 3.36 .1539 1 1.00 3.88 .1540 2 1.00 3.50 .1541 1 1.00 3.44 .1542 2 1.00 3.44 .1543 1 1.00 3.40 .1544 1 1.00 3.56 .1545 1 1.00 3.47 .1546 1 1.00 3.22 .1547 1 1.00 3.41 .1548 1 1.00 3.56 .1549 1 1.00 3.49 .1550 1 1.00 3.14 .1551 1 1.00 3.43 .1552 1 1.00 3.30 .1553 1 1.00 3.32 .1554 1 1.00 3.58 .1555 2 1.00 3.20 .1556 1 1.00 3.31 .1557 1 1.00 3.33 .1558 1 1.00 3.42 .1559 1 1.00 3.36 .1560 1 1.00 3.39 .1561 1 1.00 3.39 .1562 1 1.00 3.36 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1.00 3.21 .1619 1 1.00 3.33 .1620 1 1.00 3.25 .1621 1 1.00 3.26 .1622 1 1.00 3.26 .1623 1 1.00 3.31 .1624 1 1.00 3.69 .1625 1 1.00 3.36 .1626 1 1.00 3.40 .1627 1 1.00 3.18 .1628 1 1.00 3.27 .1629 1 1.00 3.33 .1630 1 1.00 3.37 .1631 1 1.00 3.27 .1632 1 1.00 3.34 .1633 1 1.00 3.37 .1634 1 1.00 3.29 .1635 1 1.00 3.43 .1636 1 1.00 3.25 .1637 1 1.00 3.26 .1638 1 1.00 3.29 .1639 1 1.00 3.35 .1640 1 1.00 3.46 .1641 1 1.00 3.27 .1642 1 1.00 3.15 .1643 1 1.00 3.22 .1644 1 1.00 3.41 .1645 1 1.00 3.28 .1646 1 1.00 3.34 .1647 1 1.00 3.32 .1648 1 1.00 3.30 .1649 1 1.00 3.40 .1650 1 1.00 3.32 .1651 1 1.00 3.51 .1652 1 1.00 3.37 .1653 1 1.00 3.62 .1654 1 1.00 3.25 .1655 1 1.00 3.26 .1656 1 1.00 3.19 .1657 1 1.00 3.17 .1658 1 1.00 3.36 .1659 1 1.00 3.23 .1660 1 1.00 3.42 .1661 1 1.00 3.29 .1662 1 1.00 3.32 .1663 1 1.00 3.30 .1664 1 1.00 3.13 .1665 1 1.00 3.31 .1666 1 1.00 3.21 .1667 1 1.00 3.40 .1668 1 1.00 3.35 .1669 1 1.00 3.36 .1670 2 1.00 3.24 .1671 1 1.00 3.32 .1672 1 1.00 3.22 .1673 1 1.00 3.28 .1674 1 1.00 3.36 .1675 1 1.00 3.38 .1676 1 1.00 3.30 .1677 1 1.00 3.30 .1678 1 1.00 3.41 .1679 1 1.00 3.30 .1680 1 1.00 3.50 .1681 1 1.00 3.21 .1682 1 1.00 3.37 .1683 1 1.00 3.39 .1684 1 1.00 3.31 .1685 1 1.00 3.43 .1686 1 1.00 3.28 .1687 1 1.00 3.30 .1688 1 1.00 3.45 .1689 1 1.00 3.29 .1690 1 1.00 3.40 .1691 1 1.00 3.39 .1692 1 1.00 3.29 .1693 1 1.00 3.39 .1694 1 1.00 3.22 .1695 1 1.00 3.30 .1696 1 1.00 3.22 .1697 1 1.00 3.92 .1698 1 1.00 3.61 .1699 1 1.00 3.35 .1700 1 1.00 3.39 .1701 1 1.00 3.35 .1702 1 1.00 3.33 .1703 1 1.00 3.52 .1704 1 1.00 3.45 .1705 2 1.00 3.41 .1706 1 1.00 3.33 .1707 1 1.00 3.34 .1708 1 1.00 3.37 .1709 1 1.00 3.52 .1710 1 1.00 3.47 .1711 1 1.00 3.31 .1712 2 1.00 3.26 .1713 1 1.00 3.41 .1714 1 1.00 3.25 .1715 1 1.00 3.29 .1716 1 1.00 3.28 .1717 1 1.00 3.27 .1718 1 1.00 3.47 .1719 1 1.00 3.50 .1720 1 1.00 3.44 .1721 1 1.00 3.49 .1722 1 1.00 3.51 .1723 1 1.00 3.27 .1724 1 1.00 3.41 .1725 1 1.00 3.36 .1726 1 1.00 3.41 .1727 1 1.00 3.24 .1728 1 1.00 3.51 .1729 1 1.00 3.40 .1730 1 1.00 3.94 .1731 1 1.00 3.77 .1732 1 1.00 3.28 .1733 1 1.00 3.51 .1734 1 1.00 3.35 .1735 1 1.00 3.46 .1736 1 1.00 3.39 .1737 1 1.00 3.42 .1738 1 1.00 3.44 .1739 1 1.00 3.19 .1740 1 1.00 3.43 .1741 1 1.00 3.41 .1742 1 1.00 3.50 .1743 1 1.00 3.28 .1744 1 1.00 3.45 .1745 1 1.00 3.36 .1746 1 1.00 3.40 .1747 1 1.00 3.54 .1748 1 1.00 3.63 .1749 1 1.00 3.43 .1750 1 1.00 3.42 .1751 1 1.00 3.45 .1752 1 1.00 3.28 .1753 1 1.00 3.38 .1754 1 1.00 3.41 .1755 1 1.00 3.59 .1756 1 1.00 3.40 .1757 1 1.00 3.43 .1758 1 1.00 3.43 .1759 1 1.00 3.23 .1760 1 1.00 3.41 .1761 1 1.00 3.30 .1762 1 1.00 3.46 .1763 1 1.00 3.28 .1764 2 1.00 3.19 .1765 1 1.00 3.32 .1766 1 1.00 3.43 .1767 2 1.00 3.50 .1768 2 1.00 3.30 .1769 2 1.00 3.15 .1770 1 1.00 3.46 .1771 1 1.00 3.28 .1772 1 1.00 3.38 .1773 1 1.00 3.24 .1774 1 1.00 3.27 .1775 1 1.00 3.29 .1776 1 1.00 3.41 .1777 1 1.00 3.25 .1778 1 1.00 3.27 .1779 1 1.00 3.27 .1780 1 1.00 3.40 .1781 1 1.00 3.31 .1782 1 1.00 3.44 .1783 1 1.00 3.26 .1784 1 1.00 3.34 .1785 1 1.00 3.20 .1786 1 1.00 3.39 .1787 1 1.00 3.30 .1788 1 1.00 3.26 .1789 1 1.00 3.46 .1790 1 1.00 3.23 .1791 1 1.00 3.42 .1792 1 1.00 3.35 .1793 1 1.00 3.35 .1794 1 1.00 3.30 .1795 1 1.00 3.42 .1796 1 1.00 3.18 .1797 1 1.00 3.37 .1798 2 1.00 3.49 .1799 1 1.00 3.29 .1800 1 1.00 3.29 .1801 1 1.00 3.54 .1802 1 1.00 3.41 .1803 2 1.00 3.87 .1804 1 1.00 3.83 .1805 1 1.00 3.62 .1806 2 1.00 3.55 .1807 2 1.00 3.55 .1808 1 1.00 3.50 .1809 1 1.00 3.56 .1810 1 1.00 3.27 .1811 1 1.00 3.55 .1812 1 1.00 3.42 .1813 1 1.00 3.31 .1814 1 1.00 3.22 .1815 1 1.00 3.35 .1816 1 1.00 3.31 .1817 1 1.00 3.39 .1818 1 1.00 3.22 .1819 1 1.00 3.45 .1820 1 1.00 3.43 .1821 1 1.00 3.33 .1822 1 1.00 3.38 .1823 1 1.00 3.39 .1824 1 1.00 3.24 .1825 1 1.00 3.42 .1826 2 1.00 3.46 .1827 1 1.00 3.28 .1828 1 1.00 3.48 .1829 1 1.00 3.32 .1830 1 1.00 3.30 .1831 1 1.00 3.51 .1832 1 1.00 3.50 .1833 1 1.00 3.44 .1834 2 1.00 3.42 .1835 1 1.00 3.43 .1836 1 1.00 3.29 .1837 1 1.00 3.30 .1838 1 1.00 3.48 .1839 1 1.00 3.43 .1840 1 1.00 3.38 .1841 1 1.00 3.28 .1842 1 1.00 3.45 .1843 1 1.00 3.42 .1844 2 1.00 3.41 .1845 1 1.00 3.39 .1846 1 1.00 3.35 .1847 1 1.00 3.25 .1848 1 1.00 3.47 .1849 2 1.00 3.35 .1850 1 1.00 3.57 .1851 1 1.00 3.38 .1852 1 1.00 3.46 .1853 1 1.00 3.19 .1854 1 1.00 3.27 .1855 1 1.00 3.23 .1856 1 1.00 3.24 .1857 1 1.00 3.50 .1858 1 1.00 3.59 .1859 1 1.00 3.44 .1860 1 1.00 3.43 .1861 1 1.00 3.36 .1862 1 1.00 3.35 .1863 1 1.00 3.28 .1864 1 1.00 3.30 .1865 1 1.00 3.45 .1866 1 1.00 3.39 .1867 1 1.00 3.31 .1868 1 1.00 3.39 .1869 1 1.00 3.33 .1870 1 1.00 3.46 .1871 1 1.00 3.46 .1872 1 1.00 3.45 .1873 1 1.00 3.27 .1874 1 1.00 3.36 .1875 1 1.00 3.38 .1876 1 1.00 3.23 .1877 1 1.00 3.36 .1878 1 1.00 3.35 .1879 1 1.00 3.26 .1880 1 1.00 3.26 .1881 1 1.00 3.39 .1882 1 1.00 3.36 .1883 1 1.00 3.14 .1884 1 1.00 3.32 .1885 1 1.00 3.49 .1886 1 1.00 3.25 .1887 1 1.00 3.32 .1888 1 1.00 3.44 .1889 1 1.00 3.29 .1890 1 1.00 3.40 .1891 1 1.00 3.38 .1892 1 1.00 3.38 .1893 1 1.00 3.39 .1894 1 1.00 3.38 .1895 1 1.00 3.40 .1896 1 1.00 3.31 .1897 1 1.00 3.34 .1898 1 1.00 3.50 .1899 1 1.00 3.49 .1900 1 1.00 3.26 .1901 1 1.00 3.33 .1902 1 1.00 3.30 .1903 1 1.00 3.25 .1904 1 1.00 3.30 .1905 1 1.00 3.21 .1906 1 1.00 3.05 .1907 1 1.00 3.33 .1908 1 1.00 3.08 .1909 1 1.00 3.12 .1910 1 1.00 3.27 .1911 1 1.00 3.29 .1912 1 1.00 3.19 .1913 1 1.00 3.18 .1914 1 1.00 3.07 .1915 1 1.00 3.20 .1916 1 1.00 3.24 .1917 1 1.00 3.26 .1918 1 1.00 3.14 .1919 1 1.00 3.22 .1920 1 1.00 3.19 .1921 1 1.00 3.25 .1922 1 1.00 3.18 .1923 1 1.00 3.13 .1924 1 1.00 3.12 .1925 1 1.00 3.10 .1926 1 1.00 3.19 .1927 1 1.00 3.23 .1928 2 1.00 3.50 .1929 1 1.00 3.17 .1930 1 1.00 3.22 .1931 1 1.00 3.03 .1932 1 1.00 3.05 .1933 1 1.00 3.11 .1934 1 1.00 3.19 .1935 1 1.00 3.07 .1936 1 1.00 3.07 .1937 1 1.00 3.14 .1938 1 1.00 2.98 .1939 1 1.00 3.21 .1940 1 1.00 3.02 .1941 1 1.00 3.09 .1942 1 1.00 3.03 .1943 1 1.00 2.97 .1944 1 1.00 3.04 .1945 1 1.00 3.04 .1946 1 1.00 3.02 .1947 1 1.00 3.01 .1948 1 1.00 2.85 .1949 1 1.00 2.87 .1950 1 1.00 3.04 .1951 1 1.00 2.99 .1952 1 1.00 2.85 .1953 1 1.00 3.10 .1954 1 1.00 3.00 .1955 1 1.00 2.94 .1956 1 1.00 3.35 .1957 1 1.00 3.32 .1958 1 1.00 2.80 .1959 1 1.00 2.98 .1960 1 1.00 2.96 .1961 1 1.00 2.87 .1962 1 1.00 2.91 .1963 1 1.00 2.84 .1964 1 1.00 2.91 .1965 1 1.00 2.92 .1966 1 1.00 2.95 .1967 1 1.00 2.92 .1968 2 1.00 2.94 .1969 1 1.00 3.05 .1970 1 1.00 2.88 .1971 1 1.00 2.98 .1972 1 1.00 2.76 .1973 1 1.00 2.94 .1974 1 1.00 2.91 .1975 1 1.00 2.75 .1976 1 1.00 2.86 .1977 1 1.00 2.91 .1978 1 1.00 2.84 .1979 1 1.00 2.72 .1980 1 1.00 2.91 .1981 1 1.00 2.83 .1982 1 1.00 2.98 .1983 1 1.00 2.87 .1984 1 1.00 2.72 .1985 1 1.00 2.68 .1986 1 1.00 2.69 .1987 1 1.00 2.70 .1988 1 1.00 2.77 .1989 1 1.00 2.97 .1990 1 1.00 2.68 .1991 1 1.00 2.73 .1992 1 1.00 2.53 .1993 1 1.00 2.62 .1994 1 1.00 2.76 .1995 1 1.00 2.68 .1996 1 1.00 2.74 .1997 1 1.00 2.76 .1998 1 1.00 2.73 .1999 3 1.00 2.73 .2000 1 1.00 3.02 .2001 1 1.00 2.65 .2002 1 1.00 2.61 .2003 2 1.00 2.57 .2004 1 1.00 2.74 .2005 1 1.00 2.59 .2006 1 1.00 2.48 .2007 1 1.00 2.57 .2008 1 1.00 2.55 .2009 1 1.00 2.81 .2010 1 1.00 2.62 .2011 1 1.00 2.41 .2012 1 1.00 2.39 .2013 1 1.00 2.57 .2014 2 1.00 2.39 .2015 1 1.00 2.78 .2016 1 1.00 2.44 .2017 1 1.00 2.48 .2018 1 1.00 2.66 .2019 1 1.00 2.41 .2020 1 1.00 2.50 .2021 1 1.00 2.49 .2022 1 1.00 2.53 .2023 1 1.00 2.49 .2024 1 1.00 2.45 .2025 1 1.00 2.33 .2026 1 1.00 2.36 .2027 1 1.00 2.41 .2028 1 1.00 2.42 .2029 1 1.00 2.43 .2030 1 1.00 2.35 .2031 1 1.00 2.28 .2032 1 1.00 2.39 .2033 1 1.00 2.29 .2034 1 1.00 2.39 .2035 2 1.00 2.63 .2036 1 1.00 2.32 .2037 1 1.00 2.34 .2038 1 1.00 2.48 .2039 1 1.00 2.42 .2040 1 1.00 2.45 .2041 1 1.00 2.22 .2042 1 1.00 2.42 .2043 1 1.00 2.27 .2044 1 1.00 2.29 .2045 1 1.00 2.34 .2046 1 1.00 2.51 .2047 1 1.00 2.39 EXTRACT_IMAGE: b2: masked 128 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITFLATWIDTH: b2: Median spatial widths = 0.91 0.91 0.90 0.91 pix (LL LR UL UR) SPCALIB: b2: Using Cubic, median chi squareds: vs SPCALIB: b2: Found 0 bright pixels in extracted flat sdR-b2-00034676.fit SPCALIB: b2: Extracting arc # 1 of 2 SPCALIB: b2: Reading arc sdR-b2-00034674.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.83846 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1225.48 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.26845 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1198.48 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Fraction of bad pixels in arc = 2.07424e-05 SPCALIB: b2: Arc sdR-b2-00034674.fit paired with flat sdR-b2-00034673.fit MATCH_TRACE: b2: Iteration: 0 Pixels Rejected: 2090 Finished? 0 MATCH_TRACE: b2: Iteration: 1 Pixels Rejected: 161 Finished? 0 MATCH_TRACE: b2: Iteration: 2 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: b2: Iteration: 3 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: b2: Iteration: 4 Pixels Rejected: 0 Finished? 1 SPCALIB: b2: Shifting traces with match_trace -0.00793457 SPCALIB: b2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 0.90 1.01 .0001 1 0.90 1.03 .0002 1 0.90 1.05 .0003 1 0.90 1.29 .0004 1 0.90 2.15 .0005 1 0.90 1.89 .0006 1 0.90 2.22 .0007 1 0.90 1.91 .0008 1 0.90 1.69 .0009 1 0.90 1.52 .0010 1 0.90 1.42 .0011 1 0.90 1.36 .0012 1 0.90 1.14 .0013 1 0.90 1.06 .0014 1 0.90 1.04 .0015 1 0.90 1.06 .0016 1 0.90 1.01 .0017 3 0.90 1.02 .0018 3 0.90 1.23 .0019 1 0.90 2.09 .0020 1 0.90 5.35 .0021 1 0.90 4.17 .0022 1 0.90 7.04 .0023 1 0.90 5.61 .0024 1 0.90 5.09 .0025 1 0.90 4.52 .0026 2 0.90 4.02 .0027 2 0.90 3.56 .0028 1 0.90 2.55 .0029 1 0.90 1.96 .0030 1 0.90 1.23 .0031 1 0.91 1.00 .0032 1 0.91 0.99 .0033 1 0.91 0.94 .0034 1 0.91 0.97 .0035 1 0.91 0.97 .0036 1 0.91 0.99 .0037 1 0.91 1.00 .0038 1 0.91 1.00 .0039 1 0.91 0.98 .0040 4 0.91 0.93 .0041 1 0.91 0.90 .0042 1 0.91 0.98 .0043 1 0.91 0.97 .0044 1 0.91 0.91 .0045 1 0.91 0.91 .0046 1 0.91 0.94 .0047 1 0.91 0.97 .0048 1 0.91 0.92 .0049 1 0.91 0.92 .0050 2 0.91 0.95 .0051 1 0.91 1.05 .0052 1 0.91 0.99 .0053 1 0.91 0.89 .0054 1 0.91 0.97 .0055 1 0.91 0.93 .0056 1 0.91 1.27 .0057 1 0.91 1.66 .0058 1 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1.08 .0613 1 0.91 1.09 .0614 1 0.91 1.07 .0615 1 0.91 1.03 .0616 1 0.91 1.04 .0617 1 0.91 1.02 .0618 1 0.91 1.15 .0619 2 0.91 1.07 .0620 1 0.91 1.09 .0621 1 0.91 1.18 .0622 2 0.91 1.13 .0623 1 0.91 1.04 .0624 1 0.91 1.10 .0625 1 0.91 1.00 .0626 1 0.91 1.05 .0627 1 0.91 1.12 .0628 1 0.91 1.03 .0629 1 0.91 1.09 .0630 1 0.91 1.08 .0631 1 0.91 1.03 .0632 1 0.92 1.02 .0633 1 0.92 1.03 .0634 1 0.92 1.09 .0635 1 0.92 0.98 .0636 1 0.92 1.02 .0637 1 0.92 1.00 .0638 1 0.92 1.03 .0639 1 0.92 1.04 .0640 1 0.92 1.08 .0641 1 0.92 0.97 .0642 1 0.92 1.03 .0643 1 0.92 1.05 .0644 1 0.92 1.01 .0645 1 0.92 1.10 .0646 1 0.92 1.03 .0647 1 0.92 1.00 .0648 1 0.92 1.00 .0649 1 0.92 0.97 .0650 1 0.92 1.06 .0651 1 0.92 1.03 .0652 1 0.92 0.96 .0653 1 0.92 0.96 .0654 2 0.92 1.04 .0655 2 0.92 1.05 .0656 1 0.92 1.00 .0657 1 0.92 0.97 .0658 1 0.92 0.99 .0659 1 0.92 0.95 .0660 1 0.92 0.99 .0661 1 0.92 1.01 .0662 1 0.92 0.97 .0663 1 0.92 1.04 .0664 1 0.92 1.04 .0665 1 0.92 1.04 .0666 1 0.92 1.05 .0667 1 0.92 1.04 .0668 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1 0.92 1.29 .0891 1 0.92 1.28 .0892 1 0.92 1.25 .0893 1 0.92 1.15 .0894 1 0.92 1.18 .0895 1 0.92 1.03 .0896 1 0.92 0.91 .0897 1 0.92 1.01 .0898 1 0.92 0.97 .0899 1 0.92 0.95 .0900 1 0.92 0.89 .0901 1 0.92 0.94 .0902 1 0.92 0.92 .0903 1 0.92 0.92 .0904 1 0.92 0.88 .0905 1 0.92 0.94 .0906 2 0.92 1.05 .0907 1 0.92 0.94 .0908 1 0.92 0.90 .0909 1 0.92 0.90 .0910 1 0.92 0.94 .0911 1 0.92 0.89 .0912 1 0.92 0.88 .0913 1 0.92 0.98 .0914 1 0.92 0.92 .0915 1 0.92 0.94 .0916 1 0.92 0.94 .0917 1 0.92 0.92 .0918 1 0.92 0.91 .0919 2 0.92 0.92 .0920 2 0.92 0.95 .0921 3 0.92 0.96 .0922 1 0.92 1.09 .0923 1 0.92 0.90 .0924 1 0.92 0.90 .0925 1 0.92 0.95 .0926 1 0.92 0.92 .0927 1 0.92 0.94 .0928 2 0.92 1.00 .0929 1 0.92 0.97 .0930 1 0.92 0.98 .0931 1 0.92 0.88 .0932 1 0.92 0.95 .0933 1 0.92 0.88 .0934 1 0.92 0.98 .0935 1 0.92 0.93 .0936 1 0.92 0.91 .0937 1 0.92 0.92 .0938 1 0.92 1.07 .0939 2 0.92 1.04 .0940 1 0.92 0.94 .0941 1 0.92 0.92 .0942 1 0.92 1.01 .0943 1 0.92 0.92 .0944 1 0.92 0.87 .0945 1 0.92 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1 0.91 0.94 .1113 1 0.91 0.93 .1114 1 0.91 0.90 .1115 1 0.91 0.87 .1116 1 0.91 0.89 .1117 1 0.91 0.89 .1118 1 0.91 0.93 .1119 1 0.91 0.87 .1120 1 0.91 0.95 .1121 1 0.91 0.92 .1122 1 0.91 1.11 .1123 1 0.91 1.20 .1124 1 0.91 1.49 .1125 2 0.91 1.37 .1126 1 0.91 1.36 .1127 1 0.91 1.26 .1128 1 0.91 1.15 .1129 1 0.91 1.49 .1130 3 0.91 1.19 .1131 3 0.91 1.21 .1132 3 0.91 1.21 .1133 2 0.91 1.12 .1134 1 0.91 1.11 .1135 1 0.91 1.06 .1136 2 0.91 1.15 .1137 2 0.91 1.05 .1138 1 0.91 1.10 .1139 1 0.91 1.02 .1140 1 0.91 0.99 .1141 1 0.91 0.98 .1142 1 0.91 1.00 .1143 1 0.91 0.92 .1144 1 0.91 0.97 .1145 2 0.91 0.95 .1146 1 0.91 0.94 .1147 1 0.91 0.92 .1148 1 0.91 1.08 .1149 2 0.91 0.92 .1150 1 0.91 0.95 .1151 1 0.91 0.94 .1152 1 0.91 0.92 .1153 1 0.91 0.95 .1154 1 0.91 0.92 .1155 1 0.91 0.91 .1156 1 0.91 0.94 .1157 2 0.91 1.02 .1158 1 0.91 0.93 .1159 1 0.91 0.95 .1160 1 0.91 1.01 .1161 1 0.91 0.88 .1162 1 0.91 0.87 .1163 3 0.91 0.88 .1164 1 0.91 0.98 .1165 1 0.91 0.92 .1166 1 0.91 0.91 .1167 2 0.91 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1 0.91 0.88 .1224 1 0.91 0.89 .1225 1 0.91 0.89 .1226 1 0.91 0.95 .1227 1 0.91 0.89 .1228 1 0.91 1.03 .1229 1 0.91 0.96 .1230 1 0.91 1.14 .1231 1 0.91 1.08 .1232 1 0.91 1.09 .1233 1 0.91 1.01 .1234 1 0.91 1.02 .1235 1 0.91 0.94 .1236 1 0.91 1.06 .1237 1 0.91 1.19 .1238 1 0.91 1.15 .1239 1 0.91 1.01 .1240 1 0.91 0.98 .1241 1 0.91 0.97 .1242 1 0.91 1.00 .1243 1 0.91 1.01 .1244 2 0.91 1.06 .1245 2 0.91 0.94 .1246 1 0.91 0.99 .1247 1 0.91 0.98 .1248 2 0.91 0.96 .1249 1 0.91 0.97 .1250 1 0.91 0.90 .1251 1 0.91 0.92 .1252 1 0.91 0.93 .1253 1 0.91 0.87 .1254 1 0.91 0.91 .1255 1 0.91 0.92 .1256 1 0.91 0.89 .1257 1 0.91 0.91 .1258 1 0.91 0.90 .1259 1 0.91 0.93 .1260 1 0.91 0.89 .1261 2 0.91 0.94 .1262 2 0.91 0.95 .1263 1 0.91 0.98 .1264 1 0.91 0.94 .1265 1 0.91 0.94 .1266 1 0.91 0.94 .1267 1 0.91 0.97 .1268 1 0.91 0.86 .1269 1 0.91 0.86 .1270 1 0.91 0.85 .1271 1 0.91 0.93 .1272 1 0.91 0.87 .1273 1 0.91 0.89 .1274 1 0.91 0.90 .1275 1 0.91 0.91 .1276 1 0.91 0.91 .1277 1 0.91 0.89 .1278 2 0.91 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1 0.90 0.93 .1723 1 0.90 0.96 .1724 2 0.90 0.99 .1725 1 0.90 1.01 .1726 1 0.90 0.97 .1727 1 0.90 0.96 .1728 3 0.90 1.03 .1729 1 0.90 1.07 .1730 2 0.90 1.06 .1731 1 0.90 0.99 .1732 1 0.90 1.08 .1733 1 0.90 1.02 .1734 1 0.90 1.02 .1735 1 0.90 0.93 .1736 1 0.90 1.00 .1737 1 0.90 0.98 .1738 1 0.90 0.94 .1739 1 0.90 0.96 .1740 4 0.90 0.99 .1741 4 0.90 1.11 .1742 3 0.90 1.01 .1743 1 0.90 1.09 .1744 1 0.90 0.94 .1745 1 0.90 0.96 .1746 1 0.90 0.98 .1747 3 0.90 0.93 .1748 2 0.90 0.94 .1749 2 0.90 1.08 .1750 3 0.90 1.01 .1751 1 0.90 1.02 .1752 1 0.90 0.89 .1753 1 0.90 1.03 .1754 1 0.90 0.97 .1755 1 0.90 0.95 .1756 1 0.90 0.98 .1757 1 0.90 0.91 .1758 1 0.90 0.98 .1759 1 0.90 0.96 .1760 1 0.90 1.18 .1761 1 0.90 1.01 .1762 1 0.90 0.96 .1763 1 0.90 0.96 .1764 1 0.90 1.01 .1765 1 0.90 0.98 .1766 1 0.90 0.95 .1767 1 0.90 0.96 .1768 1 0.90 1.02 .1769 1 0.90 0.98 .1770 1 0.90 0.97 .1771 1 0.90 0.98 .1772 1 0.90 0.94 .1773 2 0.90 0.99 .1774 2 0.90 0.96 .1775 1 0.90 0.96 .1776 1 0.90 1.02 .1777 1 0.90 1.22 .1778 1 0.90 1.40 .1779 1 0.90 1.63 .1780 1 0.90 2.02 .1781 1 0.90 1.77 .1782 1 0.90 1.57 .1783 1 0.90 1.43 .1784 1 0.90 1.39 .1785 1 0.90 1.34 .1786 1 0.90 1.28 .1787 1 0.90 1.26 .1788 1 0.90 1.20 .1789 1 0.90 1.32 .1790 1 0.90 1.18 .1791 1 0.90 1.20 .1792 1 0.90 1.20 .1793 1 0.90 1.22 .1794 1 0.90 1.26 .1795 1 0.90 1.27 .1796 1 0.90 1.28 .1797 1 0.90 1.28 .1798 1 0.90 1.26 .1799 1 0.90 1.25 .1800 1 0.90 1.22 .1801 1 0.90 1.19 .1802 1 0.90 1.22 .1803 1 0.90 1.24 .1804 3 0.90 1.09 .1805 2 0.90 1.44 .1806 1 0.90 1.28 .1807 1 0.90 4.68 .1808 1 0.90 5.79 .1809 1 0.90 10.06 .1810 1 0.90 16.16 .1811 1 0.90 16.88 .1812 1 0.90 12.43 .1813 1 0.90 10.13 .1814 1 0.90 8.03 .1815 1 0.90 7.25 .1816 1 0.90 6.87 .1817 1 0.90 6.32 .1818 1 0.90 6.29 .1819 1 0.90 6.74 .1820 1 0.90 5.52 .1821 1 0.90 5.01 .1822 1 0.90 4.89 .1823 1 0.90 5.42 .1824 1 0.90 5.21 .1825 1 0.90 5.54 .1826 1 0.90 5.47 .1827 1 0.90 4.98 .1828 1 0.90 4.56 .1829 1 0.90 4.23 .1830 1 0.90 4.08 .1831 1 0.90 4.00 .1832 1 0.90 3.40 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0.91 0.90 .1889 2 0.91 1.00 .1890 1 0.91 0.93 .1891 1 0.91 0.93 .1892 1 0.91 1.01 .1893 3 0.91 0.94 .1894 1 0.91 1.21 .1895 1 0.91 1.00 .1896 1 0.91 0.97 .1897 1 0.91 0.94 .1898 2 0.91 1.11 .1899 4 0.91 1.00 .1900 2 0.91 1.18 .1901 1 0.91 0.97 .1902 1 0.91 0.98 .1903 1 0.91 0.94 .1904 1 0.91 0.93 .1905 1 0.91 0.93 .1906 1 0.91 0.93 .1907 1 0.91 0.94 .1908 1 0.91 0.87 .1909 1 0.91 1.00 .1910 1 0.91 0.91 .1911 1 0.91 0.94 .1912 2 0.91 1.00 .1913 3 0.91 1.06 .1914 3 0.91 1.04 .1915 3 0.91 0.92 .1916 2 0.91 0.98 .1917 1 0.91 0.93 .1918 1 0.91 0.90 .1919 1 0.91 0.85 .1920 1 0.91 0.87 .1921 1 0.91 0.93 .1922 1 0.91 0.92 .1923 1 0.91 0.94 .1924 1 0.91 0.89 .1925 1 0.91 0.93 .1926 1 0.91 0.96 .1927 1 0.91 0.93 .1928 1 0.91 0.90 .1929 1 0.91 0.90 .1930 1 0.91 0.90 .1931 1 0.91 0.91 .1932 1 0.91 0.90 .1933 1 0.91 0.99 .1934 1 0.91 0.96 .1935 3 0.91 0.94 .1936 1 0.91 0.94 .1937 1 0.91 0.89 .1938 3 0.91 1.04 .1939 4 0.91 0.90 .1940 1 0.91 1.07 .1941 3 0.91 0.97 .1942 3 0.91 0.92 .1943 1 0.91 0.97 .1944 1 0.91 0.93 .1945 1 0.91 1.00 .1946 1 0.91 0.88 .1947 1 0.91 0.97 .1948 1 0.91 0.98 .1949 1 0.91 0.90 .1950 1 0.91 0.98 .1951 1 0.91 0.91 .1952 1 0.91 0.90 .1953 1 0.91 0.92 .1954 1 0.91 0.93 .1955 1 0.91 0.92 .1956 1 0.91 0.92 .1957 1 0.91 0.94 .1958 1 0.91 0.97 .1959 1 0.91 0.95 .1960 1 0.91 0.91 .1961 1 0.91 0.93 .1962 1 0.91 0.95 .1963 1 0.91 0.94 .1964 1 0.91 1.02 .1965 1 0.91 0.93 .1966 1 0.91 0.98 .1967 1 0.91 1.01 .1968 1 0.91 0.90 .1969 1 0.91 0.93 .1970 1 0.91 0.93 .1971 1 0.91 0.93 .1972 1 0.91 0.93 .1973 1 0.91 0.93 .1974 1 0.91 0.91 .1975 1 0.91 0.94 .1976 1 0.91 0.94 .1977 1 0.91 0.97 .1978 1 0.91 0.91 .1979 1 0.91 0.92 .1980 1 0.92 0.88 .1981 1 0.92 0.90 .1982 1 0.92 1.00 .1983 2 0.92 0.97 .1984 1 0.92 0.93 .1985 1 0.92 0.88 .1986 1 0.92 0.97 .1987 1 0.92 0.95 .1988 1 0.92 0.88 .1989 1 0.92 0.85 .1990 1 0.92 0.88 .1991 1 0.92 0.94 .1992 1 0.92 0.93 .1993 1 0.92 0.89 .1994 1 0.92 0.81 .1995 1 0.92 0.94 .1996 2 0.92 0.93 .1997 1 0.92 0.87 .1998 3 0.92 1.04 .1999 1 0.92 1.02 .2000 2 0.92 0.90 .2001 1 0.92 0.97 .2002 1 0.92 0.92 .2003 1 0.92 0.86 .2004 3 0.92 0.90 .2005 2 0.92 0.93 .2006 1 0.92 0.93 .2007 1 0.92 0.91 .2008 1 0.92 0.95 .2009 3 0.92 0.94 .2010 1 0.92 0.93 .2011 1 0.92 0.94 .2012 2 0.92 1.23 .2013 2 0.92 1.01 .2014 1 0.92 0.92 .2015 1 0.92 0.95 .2016 3 0.92 0.94 .2017 3 0.92 0.99 .2018 2 0.92 1.06 .2019 3 0.92 0.92 .2020 1 0.92 0.92 .2021 1 0.92 0.93 .2022 1 0.92 0.85 .2023 1 0.92 0.88 .2024 1 0.92 0.88 .2025 2 0.92 0.94 .2026 1 0.92 0.93 .2027 1 0.92 0.92 .2028 1 0.92 0.85 .2029 1 0.92 0.86 .2030 1 0.92 0.88 .2031 1 0.92 0.96 .2032 3 0.92 0.93 .2033 1 0.92 0.93 .2034 1 0.92 0.96 .2035 1 0.92 0.89 .2036 1 0.92 0.91 .2037 1 0.92 0.91 .2038 1 0.92 0.97 .2039 1 0.92 0.88 .2040 1 0.92 0.87 .2041 1 0.92 0.89 .2042 1 0.92 0.86 .2043 2 0.92 0.91 .2044 1 0.92 0.94 .2045 1 0.92 0.87 .2046 1 0.92 0.87 .2047 1 0.92 0.87 EXTRACT_IMAGE: b2: masked 446 pixels SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b2: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b2: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Searching about coefficients = 3.68951 -0.10542 -0.00419 0.00016 ARCFIT_ITER: b2: Searching lags from -146 to 145 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Initial wavelength fit = 3.68951 -0.10542 -0.00431 0.00020 ARCFIT_GUESS: b2: Initial correlation = 0.784492 FITARCIMAGE_GLOBAL: b2: Best correlation = 0.784492 FITARCIMAGE_GLOBAL: b2: ASET = 3.68951 -0.10542 -0.00431 0.00020 SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Iterating flux-weighted centers . 0 320 0.058 . 1 320 0.058 . 2 320 0.056 . 3 320 0.055 . 4 320 0.065 . 5 320 0.062 . 6 320 0.076 . 7 320 0.072 . 8 320 0.061 . 9 320 0.069 . 10 320 0.067 . 11 320 0.070 . 12 320 0.065 . 13 320 0.056 . 14 320 0.066 . 15 320 0.062 . 16 320 0.059 . 17 320 0.064 . 18 320 0.062 . 19 320 0.058 . 20 320 0.067 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 21 0 10.587339 0.20644418 . 21 320 0.066 . 22 320 0.056 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 23 0 19.192077 0.20845440 . 23 320 0.061 . 24 320 0.063 . 25 320 0.065 . 26 320 0.070 . 27 320 0.059 . 28 320 0.057 . 29 320 0.063 . 30 320 0.061 . 31 320 0.062 . 32 320 0.069 . 33 320 0.057 . 34 320 0.058 . 35 320 0.060 . 36 320 0.052 . 37 320 0.056 . 38 320 0.055 . 39 320 0.058 . 40 320 0.053 . 41 320 0.059 . 42 320 0.063 . 43 320 0.063 . 44 320 0.060 . 45 320 0.059 . 46 320 0.052 . 47 320 0.061 . 48 320 0.053 . 49 320 0.058 . 50 320 0.058 . 51 320 0.058 . 52 320 0.075 . 53 320 0.049 . 54 320 0.054 . 55 320 0.063 . 56 320 0.056 . 57 320 0.054 . 58 320 0.058 . 59 320 0.055 . 60 320 0.051 . 61 320 0.059 . 62 320 0.056 . 63 320 0.052 . 64 320 0.054 . 65 320 0.051 . 66 320 0.055 . 67 320 0.066 . 68 320 0.053 . 69 320 0.059 . 70 320 0.058 . 71 320 0.054 . 72 320 0.050 . 73 320 0.056 . 74 320 0.053 . 75 320 0.055 . 76 320 0.057 . 77 320 0.057 . 78 320 0.055 . 79 320 0.061 . 80 320 0.058 . 81 320 0.053 . 82 320 0.053 . 83 320 0.057 . 84 320 0.053 . 85 320 0.059 . 86 320 0.068 . 87 320 0.063 . 88 320 0.065 . 89 320 0.055 . 90 320 0.061 . 91 320 0.054 . 92 320 0.051 . 93 320 0.053 . 94 320 0.058 . 95 320 0.052 . 96 320 0.055 . 97 320 0.060 . 98 320 0.056 . 99 320 0.058 . 100 320 0.055 . 101 320 0.055 . 102 320 0.059 . 103 320 0.057 . 104 320 0.053 . 105 320 0.054 . 106 320 0.065 . 107 320 0.055 . 108 320 0.058 . 109 320 0.055 . 110 320 0.050 . 111 320 0.054 . 112 320 0.055 . 113 320 0.066 . 114 320 0.053 . 115 320 0.053 . 116 320 0.054 . 117 320 0.049 . 118 320 0.052 . 119 320 0.052 . 120 320 0.058 . 121 320 0.055 . 122 320 0.057 . 123 320 0.054 . 124 320 0.049 . 125 320 0.060 . 126 320 0.048 . 127 320 0.049 . 128 320 0.055 . 129 320 0.052 . 130 320 0.056 . 131 320 0.050 . 132 320 0.055 . 133 320 0.053 . 134 320 0.059 . 135 320 0.053 . 136 320 0.058 . 137 320 0.053 . 138 320 0.059 . 139 320 0.052 . 140 320 0.056 . 141 320 0.054 . 142 320 0.052 . 143 320 0.061 . 144 320 0.052 . 145 320 0.060 . 146 320 0.054 . 147 320 0.057 . 148 320 0.056 . 149 320 0.054 . 150 320 0.055 . 151 320 0.053 . 152 320 0.056 . 153 320 0.058 . 154 320 0.055 . 155 320 0.055 . 156 320 0.059 . 157 320 0.064 . 158 320 0.063 . 159 320 0.056 . 160 320 0.050 . 161 320 0.051 . 162 320 0.059 . 163 320 0.058 . 164 320 0.052 . 165 320 0.053 . 166 320 0.061 . 167 320 0.070 . 168 320 0.056 . 169 320 0.058 . 170 320 0.057 . 171 320 0.065 . 172 320 0.050 . 173 320 0.068 . 174 320 0.057 . 175 320 0.056 . 176 320 0.059 . 177 320 0.060 . 178 320 0.057 . 179 320 0.064 . 180 320 0.060 . 181 320 0.056 . 182 320 0.053 . 183 320 0.067 . 184 320 0.064 . 185 320 0.049 . 186 320 0.052 . 187 320 0.053 . 188 320 0.057 . 189 320 0.055 . 190 320 0.056 . 191 320 0.055 . 192 320 0.049 . 193 320 0.052 . 194 320 0.051 . 195 320 0.057 . 196 320 0.053 . 197 320 0.059 . 198 320 0.054 . 199 320 0.054 . 200 320 0.051 . 201 320 0.055 . 202 320 0.058 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 203 0 11.110706 0.21291834 . 203 320 0.062 . 204 320 0.056 . 205 320 0.055 . 206 320 0.054 . 207 320 0.060 . 208 320 0.057 . 209 320 0.054 . 210 320 0.053 . 211 320 0.058 . 212 320 0.052 . 213 320 0.052 . 214 320 0.055 . 215 320 0.059 . 216 320 0.054 . 217 320 0.053 . 218 320 0.052 . 219 320 0.051 . 220 320 0.051 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 221 11 25.058925 4.1629948 18.913919 -0.0000000 288812.13 5 . 221 320 0.182 . 222 320 0.055 . 223 320 0.055 . 224 320 0.058 . 225 320 0.053 . 226 320 0.051 . 227 320 0.053 . 228 320 0.054 . 229 320 0.052 . 230 320 0.054 . 231 320 0.056 . 232 320 0.056 . 233 320 0.051 . 234 320 0.058 . 235 320 0.063 . 236 320 0.067 . 237 320 0.049 . 238 320 0.055 . 239 320 0.054 . 240 320 0.054 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -7.4463054 3.3738829 1.1948047 -0.0000000 6.9484366 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -23.017376 3.0206205 0.55002094 -0.0000000 9.0780637 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -6.1457341 3.6001135 0.66417493 -0.0000000 7.2898613 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -23.204037 2.9053634 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -3.1214819 2.7421007 0.65744648 -0.0000000 8.3486282 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -2.2971664 2.4446400 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 6 4.1980100 2.4331131 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -4.4489547 3.9075424 0.56304532 0.66322806 7.6602854 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -29.731461 3.3231424 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -6.7949828 2.6517674 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -14.240079 2.8696288 2.4484183 -0.0000000 9.1458536 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -8.2613339 2.8274584 0.34591161 -0.0000000 9.1045162 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -7.8378113 2.7797495 1.0768387 -0.0000000 8.0735145 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 13 -7.0593277 2.4900546 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 14 4.5729039 3.4255374 0.74376680 0.83039352 8.2305067 1 . 241 320 0.090 . 242 320 0.054 . 243 320 0.054 . 244 320 0.053 . 245 320 0.051 . 246 320 0.053 . 247 320 0.053 . 248 320 0.058 . 249 320 0.052 . 250 320 0.054 . 251 320 0.054 . 252 320 0.052 . 253 320 0.056 . 254 320 0.062 . 255 320 0.053 . 256 320 0.056 . 257 320 0.050 . 258 320 0.058 . 259 320 0.061 . 260 320 0.052 . 261 320 0.056 . 262 320 0.060 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 0 -2.6129201 2.7811347 0.51887873 -0.0000000 8.7384955 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -17.150406 2.9341498 0.36993619 -0.0000000 9.3367028 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -14.017671 3.3562087 0.91318938 -0.0000000 6.8311852 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -29.796703 3.9765790 0.59049089 -0.0000000 7.8432763 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -3.1051043 3.4571976 1.0913152 -0.0000000 6.8753752 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 5 -4.6332689 2.8192196 0.36021989 -0.0000000 8.9241370 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 6 -1.5870711 2.4351733 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -5.0650130 2.7912759 0.62575631 -0.0000000 8.8612632 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -36.139735 3.3020390 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -12.756021 2.6489654 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -16.325413 2.5667376 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 11 -6.6972826 2.8518869 1.6810383 -0.0000000 8.6937039 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -6.4360660 2.9355380 638776.04 79090.551 6.2879551e+09 5 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 13 -4.6668976 2.5241723 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 14 -1.4506155 2.7900612 1.0082535 -0.0000000 8.7350208 1 . 263 320 0.218 . 264 320 0.058 . 265 320 0.053 . 266 320 0.052 . 267 320 0.058 . 268 320 0.062 . 269 320 0.053 . 270 320 0.059 . 271 320 0.052 . 272 320 0.056 . 273 320 0.052 . 274 320 0.052 . 275 320 0.053 . 276 320 0.058 . 277 320 0.060 . 278 320 0.056 . 279 320 0.056 . 280 320 0.057 . 281 320 0.058 . 282 320 0.058 . 283 320 0.062 . 284 320 0.062 . 285 320 0.054 . 286 320 0.062 . 287 320 0.055 . 288 320 0.066 . 289 320 0.059 . 290 320 0.056 . 291 320 0.056 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -4.1112715 2.7518475 0.70039443 -0.0000000 8.0970125 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -12.845399 3.6393153 0.74220972 -0.0000000 7.3493178 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -9.0935538 2.4459571 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 292 3 -23.858178 0.28395892 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 4 0.72988537 2.4777779 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -6.5570101 2.4039060 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -2.5576047 2.7846108 1.0977826 -0.0000000 8.2572132 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -6.3604234 2.8899771 0.72057573 -0.0000000 8.9704422 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -14.160253 2.6088574 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -21.207635 2.5028904 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 11 -10.906166 2.8905486 0.82929679 -0.0000000 8.9393484 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -8.8697358 2.4581714 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 13 -10.680788 2.8483528 0.53036897 -0.0000000 8.2926973 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 14 -1.5758612 2.5017882 0.0000000 0.0000000 0.0000000 3 . 292 320 0.089 . 293 320 0.052 . 294 320 0.055 . 295 320 0.062 . 296 320 0.062 . 297 320 0.053 . 298 320 0.055 . 299 320 0.054 . 300 320 0.058 . 301 320 0.054 . 302 320 0.057 . 303 320 0.054 . 304 320 0.061 . 305 320 0.055 . 306 320 0.057 . 307 320 0.061 . 308 320 0.056 . 309 320 0.054 . 310 320 0.058 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -1.3413721 2.4909643 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -1.2598426 2.6137128 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -14.803308 2.7851259 0.41115939 -0.0000000 8.7830365 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 311 3 -25.823602 0.24503992 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -7.1337281 3.8570073 0.88662155 1.0302405 7.3246313 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 311 5 -3.6584195 0.23610156 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -1.1580290 3.1955575 0.84907110 0.92058677 9.0663026 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -4.3532623 2.8192238 0.76418789 -0.0000000 8.2673923 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -62.138884 2.8799704 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -19.285069 2.5569564 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -19.835609 2.8802623 1.6333715 -0.0000000 8.5378297 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -14.239942 2.8414924 0.41224062 -0.0000000 8.5766316 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -18.063400 3.2844549 0.64461574 -0.0000000 6.9787213 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -13.307199 3.5250059 0.97774604 -0.0000000 7.2913969 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -8.7427664 2.7935099 0.73044604 -0.0000000 8.3796660 1 . 311 320 0.123 . 312 320 0.054 . 313 320 0.055 . 314 320 0.062 . 315 320 0.055 . 316 320 0.063 . 317 320 0.053 . 318 320 0.053 . 319 320 0.059 FITARCIMAGE_GLOBAL: b2: Line 0, at 3983.8390 Ang: ERR= 0.121885 ERR_RMS= 0.0255045 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 1, at 4046.5720 Ang: ERR= 0.00381565 ERR_RMS= 0.000166969 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 2, at 4077.8380 Ang: ERR= 0.0123447 ERR_RMS= 0.000719010 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 3, at 4358.3370 Ang: ERR= 0.00272399 ERR_RMS= 0.0208505 pix, 2 masked. FITARCIMAGE_GLOBAL: b2: Line 4, at 4678.1490 Ang: ERR= 0.0228422 ERR_RMS= 0.00263575 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Line 5, at 4799.9120 Ang: ERR= 0.0121488 ERR_RMS= 0.0131698 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 6, at 4916.0700 Ang: ERR= 0.0455740 ERR_RMS= 0.00540464 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 7, at 5085.8220 Ang: ERR= 0.00930567 ERR_RMS= 0.00261860 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 8, at 5460.7530 Ang: ERR= 0.00225044 ERR_RMS= 0.0101860 pix, 3 masked. FITARCIMAGE_GLOBAL: b2: Line 9, at 5769.5980 Ang: ERR= 0.00487250 ERR_RMS= 0.000209931 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 10, at 5790.6630 Ang: ERR= 0.00509137 ERR_RMS= 0.000230006 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 11, at 5852.4880 Ang: ERR= 0.00797269 ERR_RMS= 0.000406919 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Line 12, at 5881.8950 Ang: ERR= 0.00996940 ERR_RMS= 0.000619525 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 13, at 5944.8340 Ang: ERR= 0.00762433 ERR_RMS= 0.000385670 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 14, at 6029.9970 Ang: ERR= 0.0167011 ERR_RMS= 0.00102549 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b2: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 1 2 15 0 3 15 0 4 15 0 5 15 0 6 15 1 7 15 0 8 15 1 9 15 0 10 15 1 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 1 18 15 1 19 15 1 20 15 0 21 15 1 22 15 2 23 15 0 24 15 1 25 15 1 26 15 0 27 15 0 28 15 0 29 15 0 30 15 1 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 1 40 15 0 41 15 1 42 15 0 43 15 1 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 1 50 15 0 51 15 1 52 15 5 53 15 1 54 15 1 55 15 0 56 15 0 57 15 0 58 15 1 59 15 0 60 15 1 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 1 71 15 0 72 15 0 73 15 1 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 1 80 15 1 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 1 91 15 1 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 1 101 15 0 102 15 0 103 15 0 104 15 1 105 15 0 106 15 1 107 15 0 108 15 1 109 15 0 110 15 0 111 15 1 112 15 0 113 15 0 114 15 1 115 15 1 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 1 125 15 0 126 15 0 127 15 1 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 1 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 1 148 15 0 149 15 0 150 15 1 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 1 161 15 1 162 15 0 163 15 0 164 15 1 165 15 0 166 15 0 167 15 1 168 15 1 169 15 0 170 15 1 171 15 0 172 15 1 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 1 181 15 0 182 15 1 183 15 1 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 1 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 1 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 1 218 15 0 219 15 0 220 15 0 221 15 1 222 15 0 223 15 0 224 15 0 225 15 1 226 15 0 227 15 0 228 15 0 229 15 0 230 15 1 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 15 242 15 0 243 15 1 244 15 0 245 15 0 246 15 1 247 15 0 248 15 0 249 15 1 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 1 258 15 0 259 15 1 260 15 0 261 15 1 262 15 0 263 15 15 264 15 0 265 15 0 266 15 0 267 15 1 268 15 0 269 15 1 270 15 0 271 15 0 272 15 0 273 15 1 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 1 280 15 1 281 15 0 282 15 1 283 15 0 284 15 0 285 15 0 286 15 0 287 15 1 288 15 0 289 15 0 290 15 0 291 15 1 292 15 13 293 15 0 294 15 0 295 15 0 296 15 1 297 15 0 298 15 0 299 15 1 300 15 0 301 15 1 302 15 0 303 15 1 304 15 0 305 15 0 306 15 1 307 15 0 308 15 0 309 15 0 310 15 1 311 15 13 312 15 1 313 15 1 314 15 0 315 15 1 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 140 Pass 1 complete FITARCIMAGE_GLOBAL: b2: Number of arclines after bundle test = 15 FITARCLINES: b2: ncoeffs (x,y): 4 5 FITARCLINES: b2: errored out 4 fibers: 241 263 292 311 FITARCLINES: b2: fit rchi2: 0.079129422 FITARCLINES: b2: offset stddev: 320 2.0033431e-13 FITARCLINES: b2: scale stddev: 320 3.2501642e-13 FITARCLINES: b2: poly x,y,stddev: 0 0 6.8555813e-07 FITARCLINES: b2: poly x,y,stddev: 1 0 2.0104755e-06 FITARCLINES: b2: poly x,y,stddev: 2 0 1.5788500e-06 FITARCLINES: b2: poly x,y,stddev: 3 0 3.1772477e-06 FITARCLINES: b2: poly x,y,stddev: 0 1 4.5467619e-07 FITARCLINES: b2: poly x,y,stddev: 1 1 1.3334168e-06 FITARCLINES: b2: poly x,y,stddev: 2 1 1.0489495e-06 FITARCLINES: b2: poly x,y,stddev: 3 1 2.1093741e-06 FITARCLINES: b2: poly x,y,stddev: 0 2 4.6561511e-07 FITARCLINES: b2: poly x,y,stddev: 1 2 1.3830802e-06 FITARCLINES: b2: poly x,y,stddev: 2 2 1.0963691e-06 FITARCLINES: b2: poly x,y,stddev: 3 2 2.2067874e-06 FITARCLINES: b2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: b2: IVAR=0 centroids masked: 60 Final arcfit complete FITARCIMAGE_GLOBAL: b2: Time 33. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 7 1.00 1.59 .0001 8 1.00 1.60 .0002 9 1.00 1.58 .0003 8 1.00 1.94 .0004 6 1.00 2.09 .0005 3 1.00 3.21 .0006 10 1.00 1.34 .0007 7 1.00 1.80 .0008 5 1.00 2.14 .0009 7 1.00 1.73 .0010 5 1.00 1.94 .0011 7 1.00 1.78 .0012 3 1.00 2.81 .0013 8 1.00 1.33 .0014 5 1.00 2.04 .0015 10 1.00 1.24 .0016 4 1.00 1.85 .0017 5 1.00 2.18 .0018 7 1.00 1.52 .0019 5 1.00 1.50 .0020 5 1.00 1.59 .0021 6 1.00 2.29 .0022 4 1.00 2.48 .0023 9 1.00 1.74 .0024 5 1.00 2.05 .0025 5 1.00 2.24 .0026 5 1.00 1.97 .0027 7 1.00 1.87 .0028 6 1.00 1.77 .0029 6 1.00 1.71 .0030 7 1.00 1.62 .0031 7 1.00 1.40 .0032 4 1.00 2.24 .0033 7 1.00 1.60 .0034 5 1.00 1.87 .0035 5 1.00 2.64 .0036 6 1.00 2.16 .0037 4 1.00 2.44 .0038 6 1.00 1.46 .0039 9 1.00 1.75 .0040 8 1.00 1.83 .0041 5 1.00 1.86 .0042 6 1.00 1.44 .0043 4 1.00 2.57 .0044 6 1.00 1.79 .0045 10 1.00 1.45 .0046 11 1.00 0.93 .0047 4 1.00 2.11 .0048 7 1.00 1.21 .0049 11 1.00 1.41 .0050 4 1.00 2.38 .0051 7 1.00 1.61 .0052 4 1.00 2.70 .0053 5 1.00 2.39 .0054 4 1.00 2.52 .0055 7 1.00 1.69 .0056 4 1.00 1.89 .0057 10 1.00 1.17 .0058 9 1.00 0.98 .0059 10 1.00 1.08 .0060 6 1.00 1.73 .0061 7 1.00 0.87 .0062 7 1.00 1.10 .0063 5 1.00 1.11 .0064 9 1.00 1.03 .0065 6 1.00 0.81 .0066 4 1.00 2.21 .0067 11 1.00 0.94 .0068 6 1.00 0.81 .0069 6 1.00 1.11 .0070 8 1.00 1.00 .0071 4 1.00 1.93 .0072 12 1.00 1.45 .0073 5 1.00 2.39 .0074 6 1.00 1.23 .0075 8 1.00 1.27 .0076 8 1.00 1.08 .0077 5 1.00 1.16 .0078 11 1.00 0.98 .0079 9 1.00 1.11 .0080 10 1.00 0.91 .0081 7 1.00 1.34 .0082 5 1.00 0.90 .0083 7 1.00 0.92 .0084 13 1.00 0.87 .0085 4 1.00 1.79 .0086 4 1.00 1.32 .0087 4 1.00 1.88 .0088 9 1.00 0.97 .0089 5 1.00 1.45 .0090 7 1.00 1.14 .0091 11 1.00 0.84 .0092 14 1.00 0.88 .0093 6 1.00 1.33 .0094 5 1.00 1.24 .0095 6 1.00 1.00 .0096 6 1.00 1.28 .0097 4 1.00 1.81 .0098 7 1.00 1.13 .0099 11 1.00 1.06 .0100 4 1.00 1.46 .0101 9 1.00 1.21 .0102 6 1.00 1.11 .0103 6 1.00 1.08 .0104 7 1.00 0.96 .0105 5 1.00 1.27 .0106 6 1.00 0.95 .0107 7 1.00 0.89 .0108 8 1.00 0.92 .0109 6 1.00 0.90 .0110 11 1.00 0.89 .0111 13 1.00 0.89 .0112 4 1.00 1.03 .0113 5 1.00 1.10 .0114 6 1.00 1.09 .0115 8 1.00 1.01 .0116 7 1.00 1.01 .0117 10 1.00 0.93 .0118 9 1.00 0.92 .0119 3 1.00 2.42 .0120 9 1.00 0.90 .0121 8 1.00 0.98 .0122 12 1.00 0.76 .0123 7 1.00 1.07 .0124 6 1.00 1.60 .0125 12 1.00 0.92 .0126 9 1.00 0.94 .0127 6 1.00 1.25 .0128 5 1.00 1.30 .0129 7 1.00 0.99 .0130 5 1.00 1.19 .0131 6 1.00 1.11 .0132 8 1.00 1.17 .0133 5 1.00 1.45 .0134 7 1.00 1.29 .0135 7 1.00 1.34 .0136 4 1.00 1.24 .0137 7 1.00 1.28 .0138 4 1.00 1.67 .0139 11 1.00 0.95 .0140 11 1.00 0.93 .0141 12 1.00 1.08 .0142 11 1.00 0.93 .0143 4 1.00 1.94 .0144 6 1.00 1.69 .0145 6 1.00 1.61 .0146 9 1.00 1.00 .0147 4 1.00 1.77 .0148 4 1.00 2.17 .0149 4 1.00 2.10 .0150 15 1.00 0.97 .0151 6 1.00 2.04 .0152 7 1.00 1.81 .0153 6 1.00 1.54 .0154 8 1.00 1.49 .0155 8 1.00 1.33 .0156 3 1.00 2.42 .0157 6 1.00 1.60 .0158 7 1.00 1.74 .0159 7 1.00 1.45 .0160 5 1.00 1.66 .0161 6 1.00 1.56 .0162 4 1.00 1.79 .0163 5 1.00 1.85 .0164 5 1.00 2.15 .0165 4 1.00 2.04 .0166 4 1.00 2.13 .0167 6 1.00 1.69 .0168 4 1.00 1.67 .0169 3 1.00 2.44 .0170 4 1.00 1.90 .0171 4 1.00 1.94 .0172 4 1.00 2.05 .0173 4 1.00 2.17 .0174 6 1.00 1.72 .0175 3 1.00 2.34 .0176 4 1.00 2.10 .0177 7 1.00 1.23 .0178 4 1.00 1.92 .0179 4 1.00 2.12 .0180 10 1.00 1.43 .0181 4 1.00 2.28 .0182 13 1.00 1.27 .0183 11 1.00 1.23 .0184 5 1.00 1.68 .0185 12 1.00 1.25 .0186 13 1.00 1.14 .0187 4 1.00 1.39 .0188 6 1.00 1.34 .0189 5 1.00 1.67 .0190 8 1.00 0.86 .0191 5 1.00 1.54 .0192 7 1.00 1.22 .0193 6 1.00 1.09 .0194 5 1.00 1.55 .0195 7 1.00 1.20 .0196 9 1.00 1.15 .0197 10 1.00 1.27 .0198 5 1.00 1.59 .0199 14 1.00 1.09 .0200 6 1.00 1.05 .0201 10 1.00 0.97 .0202 6 1.00 1.07 .0203 10 1.00 0.86 .0204 10 1.00 1.05 .0205 6 1.00 1.01 .0206 5 1.00 0.97 .0207 5 1.00 1.17 .0208 6 1.00 1.28 .0209 3 1.00 2.00 .0210 12 1.00 0.94 .0211 16 1.00 1.15 .0212 11 1.00 1.11 .0213 5 1.00 1.55 .0214 7 1.00 1.56 .0215 9 1.00 0.97 .0216 6 1.00 1.32 .0217 10 1.00 1.26 .0218 6 1.00 1.23 .0219 7 1.00 1.21 .0220 12 1.00 0.96 .0221 12 1.00 1.01 .0222 6 1.00 1.12 .0223 8 1.00 1.05 .0224 10 1.00 0.82 .0225 6 1.00 0.91 .0226 9 1.00 0.84 .0227 7 1.00 1.12 .0228 8 1.00 1.00 .0229 5 1.00 0.96 .0230 4 1.00 1.68 .0231 8 1.00 1.06 .0232 6 1.00 1.18 .0233 9 1.00 1.15 .0234 6 1.00 1.21 .0235 5 1.00 1.78 .0236 6 1.00 1.44 .0237 11 1.00 0.91 .0238 10 1.00 0.84 .0239 9 1.00 0.95 .0240 5 1.00 1.20 .0241 1 1.00 0.25 .0242 12 1.00 1.12 .0243 14 1.00 1.04 .0244 7 1.00 1.59 .0245 5 1.00 1.46 .0246 6 1.00 1.11 .0247 8 1.00 0.93 .0248 5 1.00 1.28 .0249 11 1.00 0.81 .0250 6 1.00 1.14 .0251 5 1.00 0.96 .0252 6 1.00 0.82 .0253 10 1.00 0.96 .0254 5 1.00 1.36 .0255 8 1.00 1.29 .0256 13 1.00 1.06 .0257 6 1.00 1.84 .0258 6 1.00 1.48 .0259 5 1.00 1.38 .0260 5 1.00 1.35 .0261 9 1.00 0.92 .0262 9 1.00 0.93 .0263 1 1.00 0.35 .0264 4 1.00 1.46 .0265 13 1.00 1.23 .0266 6 1.00 1.50 .0267 11 1.00 1.27 .0268 4 1.00 1.69 .0269 6 1.00 1.54 .0270 4 1.00 2.25 .0271 8 1.00 1.56 .0272 13 1.00 1.25 .0273 7 1.00 1.50 .0274 6 1.00 1.61 .0275 7 1.00 1.65 .0276 4 1.00 1.67 .0277 4 1.00 1.70 .0278 5 1.00 1.36 .0279 5 1.00 1.74 .0280 6 1.00 1.43 .0281 5 1.00 1.86 .0282 6 1.00 2.11 .0283 7 1.00 1.62 .0284 4 1.00 2.08 .0285 8 1.00 1.31 .0286 5 1.00 1.97 .0287 4 1.00 2.67 .0288 12 1.00 1.32 .0289 4 1.00 2.01 .0290 6 1.00 1.39 .0291 8 1.00 1.43 .0292 1 1.00 0.51 .0293 6 1.00 1.56 .0294 7 1.00 1.63 .0295 6 1.00 1.73 .0296 10 1.00 1.21 .0297 8 1.00 2.10 .0298 5 1.00 2.30 .0299 7 1.00 1.90 .0300 6 1.00 1.39 .0301 5 1.00 1.39 .0302 5 1.00 1.53 .0303 5 1.00 1.60 .0304 8 1.00 1.24 .0305 7 1.00 1.54 .0306 6 1.00 1.90 .0307 6 1.00 2.02 .0308 4 1.00 2.22 .0309 5 1.00 1.79 .0310 6 1.00 1.67 .0311 2 1.00 0.61 .0312 4 1.00 1.68 .0313 5 1.00 1.69 .0314 5 1.00 2.54 .0315 4 1.00 2.65 .0316 5 1.00 2.28 .0317 7 1.00 2.07 .0318 6 1.00 1.67 .0319 6 1.00 2.29 EXTRACT_IMAGE: b2: masked 3916 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 0 FITDISPERSION: b2: Median wavelength widths = 0.83 0.82 0.86 0.85 pix (LL LR UL UR) SPCALIB: b2: Extracting arc # 2 of 2 SPCALIB: b2: Reading arc sdR-b2-00034677.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.78833 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1225.84 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.24154 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1198.45 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Fraction of bad pixels in arc = 3.00407e-05 SPCALIB: b2: Arc sdR-b2-00034677.fit paired with flat sdR-b2-00034676.fit MATCH_TRACE: b2: Iteration: 0 Pixels Rejected: 2302 Finished? 0 MATCH_TRACE: b2: Iteration: 1 Pixels Rejected: 136 Finished? 0 MATCH_TRACE: b2: Iteration: 2 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: b2: Iteration: 3 Pixels Rejected: 0 Finished? 1 SPCALIB: b2: Shifting traces with match_trace -0.0108643 SPCALIB: b2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 0.91 0.96 .0001 1 0.91 1.01 .0002 1 0.91 1.22 .0003 1 0.91 1.36 .0004 1 0.91 2.27 .0005 1 0.91 2.14 .0006 1 0.91 2.19 .0007 1 0.91 2.03 .0008 1 0.91 1.66 .0009 1 0.91 1.50 .0010 1 0.91 1.41 .0011 1 0.91 1.25 .0012 1 0.91 1.17 .0013 1 0.91 1.07 .0014 1 0.91 1.07 .0015 1 0.91 1.00 .0016 1 0.91 0.99 .0017 1 0.91 1.07 .0018 1 0.91 1.34 .0019 1 0.91 1.95 .0020 1 0.91 6.12 .0021 1 0.91 4.39 .0022 1 0.91 7.16 .0023 1 0.91 5.70 .0024 1 0.91 4.84 .0025 1 0.91 4.17 .0026 1 0.91 4.11 .0027 1 0.91 3.27 .0028 1 0.91 2.65 .0029 1 0.91 1.82 .0030 1 0.91 1.18 .0031 1 0.91 0.96 .0032 1 0.91 1.01 .0033 1 0.91 0.99 .0034 1 0.91 1.05 .0035 1 0.91 0.98 .0036 1 0.91 0.96 .0037 1 0.91 0.99 .0038 1 0.91 0.97 .0039 1 0.91 0.92 .0040 1 0.91 0.99 .0041 1 0.91 0.99 .0042 1 0.91 0.86 .0043 1 0.91 0.98 .0044 1 0.91 0.91 .0045 2 0.91 0.96 .0046 2 0.91 0.93 .0047 1 0.91 0.88 .0048 1 0.91 0.97 .0049 3 0.91 0.94 .0050 1 0.91 0.96 .0051 1 0.91 0.93 .0052 1 0.91 1.00 .0053 1 0.91 0.93 .0054 1 0.91 0.90 .0055 1 0.91 1.03 .0056 1 0.91 1.30 .0057 1 0.91 2.01 .0058 1 0.91 2.05 .0059 1 0.91 2.53 .0060 2 0.91 2.15 .0061 1 0.91 2.21 .0062 1 0.91 1.80 .0063 1 0.91 1.74 .0064 1 0.91 1.66 .0065 1 0.91 1.29 .0066 1 0.91 1.26 .0067 2 0.91 1.07 .0068 2 0.91 1.09 .0069 1 0.91 0.91 .0070 1 0.91 0.97 .0071 1 0.91 1.00 .0072 1 0.91 0.94 .0073 1 0.91 1.14 .0074 1 0.91 1.26 .0075 1 0.91 2.03 .0076 1 0.91 1.65 .0077 1 0.91 1.86 .0078 1 0.91 1.76 .0079 1 0.91 1.52 .0080 1 0.91 1.52 .0081 1 0.91 1.31 .0082 1 0.91 1.16 .0083 1 0.91 1.04 .0084 1 0.91 0.97 .0085 1 0.91 0.98 .0086 1 0.91 0.90 .0087 1 0.91 0.99 .0088 1 0.91 0.93 .0089 1 0.91 0.92 .0090 1 0.91 1.05 .0091 1 0.91 0.97 .0092 1 0.91 0.91 .0093 1 0.91 0.94 .0094 1 0.91 0.97 .0095 1 0.91 0.90 .0096 1 0.91 0.91 .0097 1 0.91 0.94 .0098 1 0.91 1.03 .0099 1 0.91 0.97 .0100 1 0.91 0.96 .0101 1 0.91 0.98 .0102 1 0.91 1.02 .0103 1 0.91 0.98 .0104 1 0.91 0.84 .0105 1 0.91 0.97 .0106 1 0.91 0.94 .0107 1 0.91 0.95 .0108 1 0.91 0.96 .0109 1 0.91 1.05 .0110 1 0.91 1.44 .0111 1 0.91 1.25 .0112 1 0.91 1.52 .0113 1 0.91 1.34 .0114 1 0.91 1.33 .0115 1 0.91 1.25 .0116 1 0.91 1.18 .0117 1 0.91 1.11 .0118 1 0.91 1.07 .0119 1 0.91 1.01 .0120 1 0.91 0.95 .0121 1 0.91 0.91 .0122 1 0.91 0.95 .0123 1 0.91 0.96 .0124 2 0.91 0.88 .0125 1 0.91 0.97 .0126 1 0.91 0.99 .0127 1 0.91 0.92 .0128 1 0.91 0.90 .0129 1 0.91 0.96 .0130 1 0.91 0.93 .0131 1 0.91 0.93 .0132 1 0.91 0.92 .0133 1 0.91 0.96 .0134 1 0.91 0.99 .0135 1 0.91 0.97 .0136 1 0.91 0.97 .0137 1 0.91 1.03 .0138 1 0.91 0.92 .0139 1 0.91 0.92 .0140 1 0.91 0.95 .0141 1 0.91 0.98 .0142 1 0.91 0.95 .0143 1 0.91 0.95 .0144 1 0.91 0.99 .0145 1 0.91 1.03 .0146 1 0.91 0.94 .0147 1 0.91 0.96 .0148 1 0.91 0.97 .0149 1 0.91 0.92 .0150 1 0.91 1.00 .0151 1 0.91 1.02 .0152 1 0.91 1.07 .0153 1 0.91 1.12 .0154 1 0.91 1.30 .0155 1 0.91 1.47 .0156 2 0.91 1.21 .0157 1 0.91 1.39 .0158 1 0.91 1.26 .0159 1 0.91 1.19 .0160 1 0.91 1.20 .0161 1 0.91 1.06 .0162 1 0.91 1.02 .0163 1 0.91 0.99 .0164 1 0.91 0.94 .0165 1 0.91 0.95 .0166 1 0.91 0.99 .0167 1 0.91 0.97 .0168 1 0.91 1.02 .0169 1 0.91 0.91 .0170 1 0.91 0.96 .0171 2 0.91 1.00 .0172 1 0.91 1.01 .0173 1 0.91 0.97 .0174 1 0.91 1.06 .0175 1 0.91 0.95 .0176 1 0.91 1.16 .0177 1 0.91 1.59 .0178 1 0.91 3.52 .0179 1 0.91 3.04 .0180 2 0.91 4.04 .0181 1 0.91 3.42 .0182 1 0.91 3.02 .0183 1 0.91 2.89 .0184 1 0.91 2.42 .0185 1 0.91 2.48 .0186 1 0.91 2.14 .0187 1 0.91 1.55 .0188 1 0.91 1.27 .0189 1 0.91 1.02 .0190 1 0.91 1.00 .0191 1 0.91 0.96 .0192 1 0.91 1.04 .0193 1 0.91 1.02 .0194 1 0.91 1.01 .0195 1 0.91 0.98 .0196 1 0.91 0.98 .0197 1 0.91 1.01 .0198 2 0.91 0.99 .0199 2 0.91 0.99 .0200 1 0.91 1.00 .0201 1 0.91 0.97 .0202 1 0.91 0.94 .0203 1 0.91 0.98 .0204 1 0.91 1.00 .0205 1 0.91 0.98 .0206 1 0.91 0.94 .0207 1 0.91 1.00 .0208 1 0.91 0.89 .0209 1 0.91 0.92 .0210 1 0.91 0.98 .0211 1 0.91 0.98 .0212 1 0.91 1.08 .0213 1 0.91 1.00 .0214 1 0.91 0.98 .0215 1 0.91 1.07 .0216 1 0.91 0.96 .0217 1 0.91 1.01 .0218 1 0.91 0.95 .0219 1 0.91 1.05 .0220 1 0.91 1.06 .0221 2 0.91 1.06 .0222 1 0.91 1.02 .0223 1 0.91 1.02 .0224 1 0.91 0.96 .0225 1 0.91 1.03 .0226 1 0.91 0.95 .0227 1 0.91 1.38 .0228 1 0.91 1.72 .0229 1 0.91 2.36 .0230 1 0.91 2.83 .0231 3 0.91 2.19 .0232 1 0.91 2.40 .0233 1 0.91 1.95 .0234 1 0.91 1.71 .0235 1 0.91 1.73 .0236 1 0.91 1.63 .0237 1 0.91 1.41 .0238 1 0.91 1.27 .0239 1 0.91 1.12 .0240 1 0.91 1.09 .0241 1 0.91 0.97 .0242 1 0.91 1.10 .0243 3 0.91 1.03 .0244 1 0.91 1.04 .0245 1 0.91 1.07 .0246 2 0.91 1.07 .0247 1 0.91 1.05 .0248 1 0.91 1.03 .0249 1 0.91 1.06 .0250 1 0.91 1.12 .0251 1 0.91 1.58 .0252 1 0.91 3.35 .0253 1 0.91 2.52 .0254 1 0.91 4.05 .0255 1 0.91 3.38 .0256 1 0.91 2.42 .0257 1 0.91 2.54 .0258 1 0.91 2.10 .0259 1 0.91 1.94 .0260 1 0.91 2.05 .0261 1 0.91 1.62 .0262 2 0.91 1.30 .0263 1 0.91 1.16 .0264 1 0.91 1.06 .0265 1 0.91 1.05 .0266 1 0.91 1.05 .0267 1 0.91 0.99 .0268 1 0.91 1.07 .0269 1 0.91 0.98 .0270 1 0.91 1.08 .0271 1 0.91 0.96 .0272 1 0.91 1.04 .0273 1 0.91 1.05 .0274 1 0.91 1.01 .0275 1 0.91 1.00 .0276 1 0.91 0.93 .0277 1 0.91 1.02 .0278 1 0.91 0.97 .0279 1 0.91 1.02 .0280 1 0.91 1.05 .0281 2 0.91 0.99 .0282 1 0.91 0.99 .0283 1 0.91 1.08 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0.91 1.03 .0340 2 0.91 1.01 .0341 1 0.91 1.15 .0342 1 0.91 0.98 .0343 1 0.91 1.04 .0344 1 0.91 0.99 .0345 1 0.91 0.98 .0346 1 0.91 1.04 .0347 1 0.91 0.97 .0348 1 0.91 0.97 .0349 1 0.91 1.00 .0350 1 0.91 1.00 .0351 1 0.91 1.04 .0352 1 0.91 0.96 .0353 1 0.91 0.98 .0354 1 0.91 0.98 .0355 1 0.91 0.94 .0356 1 0.91 0.95 .0357 1 0.91 1.05 .0358 1 0.91 0.98 .0359 1 0.91 1.03 .0360 1 0.91 0.96 .0361 1 0.91 1.07 .0362 1 0.91 0.96 .0363 1 0.91 1.01 .0364 1 0.91 0.99 .0365 1 0.91 1.04 .0366 1 0.91 0.98 .0367 1 0.91 0.93 .0368 1 0.91 0.95 .0369 1 0.91 1.00 .0370 1 0.91 0.98 .0371 1 0.91 0.97 .0372 1 0.91 1.08 .0373 1 0.91 1.01 .0374 1 0.91 1.03 .0375 1 0.91 0.98 .0376 1 0.91 1.10 .0377 1 0.91 1.05 .0378 1 0.91 0.97 .0379 1 0.91 0.95 .0380 1 0.91 1.01 .0381 1 0.91 0.98 .0382 1 0.91 1.02 .0383 1 0.91 0.97 .0384 1 0.91 0.99 .0385 1 0.91 1.01 .0386 1 0.91 0.95 .0387 1 0.91 1.02 .0388 1 0.91 0.97 .0389 1 0.91 0.97 .0390 1 0.91 0.94 .0391 1 0.91 1.02 .0392 1 0.91 0.98 .0393 3 0.91 0.99 .0394 2 0.91 1.01 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0.91 1.04 .0451 1 0.91 1.00 .0452 1 0.91 1.08 .0453 1 0.91 0.99 .0454 1 0.91 0.94 .0455 1 0.91 1.02 .0456 1 0.91 0.97 .0457 1 0.91 0.99 .0458 1 0.91 0.96 .0459 1 0.91 0.99 .0460 1 0.91 1.02 .0461 1 0.91 1.06 .0462 1 0.91 1.02 .0463 1 0.91 1.05 .0464 1 0.91 1.05 .0465 1 0.91 1.01 .0466 2 0.91 1.02 .0467 1 0.91 0.94 .0468 1 0.91 1.04 .0469 1 0.91 1.04 .0470 1 0.91 1.04 .0471 1 0.91 0.86 .0472 1 0.91 0.96 .0473 1 0.91 1.02 .0474 1 0.91 0.97 .0475 1 0.91 0.96 .0476 1 0.91 1.02 .0477 1 0.91 1.02 .0478 1 0.91 1.03 .0479 1 0.91 1.05 .0480 1 0.91 1.02 .0481 1 0.91 1.01 .0482 1 0.91 1.00 .0483 1 0.91 0.96 .0484 1 0.91 1.10 .0485 1 0.91 1.14 .0486 1 0.91 1.21 .0487 1 0.91 1.35 .0488 1 0.91 1.53 .0489 1 0.91 1.77 .0490 1 0.91 1.56 .0491 1 0.91 1.48 .0492 1 0.91 1.29 .0493 1 0.91 1.22 .0494 1 0.91 1.24 .0495 2 0.91 1.37 .0496 2 0.91 1.35 .0497 1 0.91 1.39 .0498 1 0.91 1.25 .0499 1 0.91 1.16 .0500 1 0.91 1.14 .0501 1 0.91 1.11 .0502 1 0.91 1.24 .0503 1 0.91 1.14 .0504 1 0.91 1.09 .0505 1 0.91 1.04 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0.91 1.20 .0562 1 0.91 1.63 .0563 1 0.91 2.21 .0564 1 0.91 2.20 .0565 1 0.91 2.38 .0566 2 0.91 2.39 .0567 1 0.91 3.78 .0568 1 0.91 13.38 .0569 1 0.91 17.51 .0570 1 0.91 20.79 .0571 1 0.91 32.76 .0572 1 0.91 28.60 .0573 1 0.91 24.79 .0574 1 0.91 20.48 .0575 1 0.91 20.90 .0576 1 0.91 26.74 .0577 1 0.91 17.52 .0578 1 0.91 14.93 .0579 1 0.91 16.98 .0580 1 0.91 15.23 .0581 1 0.91 9.90 .0582 1 0.91 4.78 .0583 1 0.91 2.33 .0584 1 0.91 1.61 .0585 3 0.91 1.51 .0586 1 0.91 1.39 .0587 1 0.91 1.30 .0588 1 0.91 1.18 .0589 1 0.91 1.21 .0590 1 0.91 1.12 .0591 1 0.91 1.14 .0592 1 0.91 1.19 .0593 1 0.91 1.16 .0594 1 0.91 1.17 .0595 2 0.91 1.15 .0596 1 0.91 1.11 .0597 1 0.91 1.07 .0598 1 0.91 1.09 .0599 1 0.91 1.12 .0600 1 0.91 1.05 .0601 1 0.91 1.19 .0602 1 0.91 1.06 .0603 1 0.91 1.04 .0604 1 0.91 1.06 .0605 1 0.91 1.11 .0606 1 0.91 1.05 .0607 1 0.91 1.10 .0608 1 0.91 1.07 .0609 2 0.91 1.08 .0610 1 0.91 1.09 .0611 1 0.91 1.09 .0612 1 0.91 1.08 .0613 1 0.91 1.08 .0614 1 0.91 1.02 .0615 1 0.91 1.11 .0616 1 0.91 1.09 .0617 1 0.91 1.14 .0618 1 0.91 1.06 .0619 1 0.91 1.09 .0620 1 0.91 1.15 .0621 3 0.91 1.06 .0622 1 0.91 1.03 .0623 1 0.91 1.07 .0624 1 0.91 0.99 .0625 1 0.91 1.10 .0626 3 0.91 1.11 .0627 3 0.91 1.10 .0628 3 0.91 0.98 .0629 1 0.91 1.04 .0630 1 0.91 1.01 .0631 1 0.91 0.97 .0632 1 0.91 1.03 .0633 1 0.91 1.01 .0634 1 0.91 1.10 .0635 1 0.91 1.00 .0636 2 0.91 1.04 .0637 1 0.91 0.96 .0638 1 0.91 1.00 .0639 1 0.91 1.02 .0640 1 0.91 1.20 .0641 2 0.91 0.99 .0642 1 0.91 1.04 .0643 3 0.91 1.07 .0644 3 0.91 1.03 .0645 1 0.91 1.06 .0646 1 0.91 1.01 .0647 1 0.91 0.98 .0648 1 0.91 0.99 .0649 1 0.91 0.99 .0650 1 0.91 1.03 .0651 1 0.91 0.94 .0652 1 0.91 0.96 .0653 1 0.91 1.02 .0654 2 0.91 1.18 .0655 1 0.91 1.12 .0656 1 0.91 0.95 .0657 1 0.91 1.03 .0658 1 0.91 1.07 .0659 1 0.91 0.98 .0660 1 0.91 0.97 .0661 1 0.91 1.00 .0662 1 0.91 0.93 .0663 1 0.92 1.03 .0664 1 0.92 1.01 .0665 1 0.92 1.04 .0666 1 0.92 1.03 .0667 1 0.92 0.91 .0668 1 0.92 1.04 .0669 1 0.92 0.97 .0670 1 0.92 1.04 .0671 1 0.92 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1 0.91 0.97 .1172 1 0.91 0.92 .1173 1 0.91 0.88 .1174 1 0.91 0.92 .1175 1 0.91 0.93 .1176 1 0.91 0.89 .1177 1 0.91 0.95 .1178 1 0.91 0.89 .1179 1 0.91 0.88 .1180 1 0.91 0.90 .1181 1 0.91 0.81 .1182 1 0.91 0.94 .1183 1 0.91 0.97 .1184 1 0.91 0.95 .1185 1 0.91 0.93 .1186 1 0.91 0.88 .1187 1 0.91 0.92 .1188 1 0.91 0.97 .1189 1 0.91 0.99 .1190 3 0.91 0.93 .1191 2 0.91 0.96 .1192 1 0.91 0.94 .1193 1 0.91 0.88 .1194 1 0.91 0.91 .1195 1 0.91 0.94 .1196 1 0.91 0.93 .1197 1 0.91 0.86 .1198 1 0.91 0.88 .1199 1 0.91 0.95 .1200 1 0.91 0.94 .1201 1 0.91 0.86 .1202 1 0.91 0.86 .1203 1 0.91 0.94 .1204 1 0.91 0.98 .1205 1 0.91 0.92 .1206 1 0.91 0.89 .1207 1 0.91 0.91 .1208 1 0.91 0.86 .1209 1 0.91 0.98 .1210 1 0.91 0.87 .1211 1 0.91 0.87 .1212 1 0.91 0.87 .1213 1 0.91 0.87 .1214 1 0.91 0.93 .1215 1 0.91 1.00 .1216 1 0.91 0.93 .1217 1 0.91 0.90 .1218 1 0.91 0.94 .1219 1 0.91 0.92 .1220 1 0.91 0.88 .1221 1 0.91 0.89 .1222 1 0.91 0.96 .1223 1 0.91 0.91 .1224 1 0.91 1.03 .1225 3 0.91 0.87 .1226 2 0.91 1.02 .1227 1 0.91 1.06 .1228 2 0.91 1.20 .1229 3 0.91 1.28 .1230 2 0.91 1.30 .1231 3 0.91 1.13 .1232 2 0.91 1.11 .1233 2 0.91 1.06 .1234 2 0.91 1.04 .1235 3 0.91 1.05 .1236 3 0.91 1.14 .1237 2 0.91 1.28 .1238 2 0.91 1.10 .1239 2 0.91 0.92 .1240 3 0.91 1.00 .1241 2 0.91 1.01 .1242 3 0.91 0.97 .1243 2 0.91 1.02 .1244 2 0.91 0.94 .1245 1 0.91 0.98 .1246 2 0.91 0.96 .1247 1 0.91 0.94 .1248 1 0.91 0.95 .1249 1 0.91 1.01 .1250 1 0.91 0.91 .1251 1 0.91 0.89 .1252 1 0.91 0.89 .1253 1 0.91 0.98 .1254 1 0.91 0.96 .1255 1 0.91 0.95 .1256 1 0.91 0.90 .1257 1 0.91 0.94 .1258 1 0.91 0.92 .1259 1 0.91 0.91 .1260 1 0.91 0.96 .1261 1 0.91 0.92 .1262 1 0.91 0.92 .1263 1 0.91 1.12 .1264 1 0.91 0.94 .1265 1 0.91 0.92 .1266 1 0.91 0.93 .1267 1 0.91 0.92 .1268 1 0.91 0.90 .1269 1 0.91 0.88 .1270 1 0.91 0.89 .1271 2 0.91 0.91 .1272 1 0.91 1.02 .1273 1 0.91 0.90 .1274 1 0.91 0.91 .1275 1 0.91 0.93 .1276 1 0.91 0.89 .1277 1 0.91 0.92 .1278 1 0.91 0.86 .1279 1 0.91 0.92 .1280 1 0.91 0.91 .1281 1 0.91 0.95 .1282 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1 0.90 0.93 .1394 1 0.90 0.95 .1395 1 0.90 0.95 .1396 1 0.90 0.97 .1397 1 0.90 0.97 .1398 1 0.90 1.02 .1399 1 0.90 0.95 .1400 1 0.90 1.18 .1401 3 0.90 0.92 .1402 1 0.90 0.87 .1403 1 0.90 0.97 .1404 1 0.90 1.00 .1405 1 0.90 0.98 .1406 1 0.90 0.99 .1407 1 0.90 1.01 .1408 1 0.90 0.95 .1409 1 0.90 0.97 .1410 2 0.90 1.00 .1411 1 0.90 1.02 .1412 1 0.90 0.96 .1413 1 0.90 0.95 .1414 1 0.90 1.00 .1415 1 0.90 0.94 .1416 1 0.90 0.98 .1417 1 0.90 0.97 .1418 1 0.90 1.11 .1419 3 0.90 1.00 .1420 1 0.90 0.98 .1421 1 0.90 1.02 .1422 1 0.90 0.99 .1423 1 0.90 1.00 .1424 1 0.90 0.95 .1425 1 0.90 0.93 .1426 1 0.90 1.03 .1427 1 0.90 1.00 .1428 1 0.90 1.08 .1429 1 0.90 1.06 .1430 2 0.90 1.06 .1431 2 0.90 1.11 .1432 1 0.90 1.00 .1433 2 0.90 1.20 .1434 1 0.90 1.08 .1435 1 0.90 1.14 .1436 1 0.90 1.15 .1437 1 0.90 1.19 .1438 1 0.90 1.16 .1439 1 0.90 1.15 .1440 1 0.90 1.09 .1441 1 0.90 1.06 .1442 1 0.90 1.12 .1443 1 0.90 1.07 .1444 2 0.90 1.08 .1445 1 0.90 1.11 .1446 1 0.90 1.04 .1447 1 0.90 1.05 .1448 1 0.90 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0.90 1.76 .1782 1 0.90 1.51 .1783 1 0.90 1.36 .1784 1 0.90 1.36 .1785 1 0.90 1.27 .1786 1 0.90 1.30 .1787 1 0.90 1.27 .1788 1 0.90 1.24 .1789 1 0.90 1.29 .1790 1 0.90 1.27 .1791 2 0.90 1.23 .1792 2 0.90 1.24 .1793 1 0.90 1.29 .1794 1 0.90 1.33 .1795 1 0.90 1.22 .1796 3 0.90 1.26 .1797 3 0.90 1.23 .1798 2 0.90 1.30 .1799 2 0.90 1.21 .1800 1 0.90 1.26 .1801 3 0.90 1.28 .1802 3 0.90 1.37 .1803 1 0.90 1.54 .1804 3 0.90 1.22 .1805 2 0.90 1.30 .1806 1 0.90 1.33 .1807 2 0.90 5.52 .1808 1 0.90 7.24 .1809 1 0.90 11.42 .1810 1 0.90 18.71 .1811 1 0.90 16.92 .1812 1 0.90 11.69 .1813 1 0.90 9.84 .1814 1 0.90 7.71 .1815 2 0.90 8.04 .1816 2 0.90 7.32 .1817 1 0.90 6.96 .1818 1 0.90 6.57 .1819 1 0.90 6.41 .1820 1 0.90 5.19 .1821 1 0.90 5.10 .1822 1 0.90 5.19 .1823 1 0.90 4.99 .1824 2 0.90 5.29 .1825 2 0.90 5.83 .1826 2 0.90 5.53 .1827 1 0.90 5.04 .1828 1 0.90 4.83 .1829 1 0.90 4.20 .1830 1 0.90 4.05 .1831 1 0.90 3.98 .1832 1 0.90 3.29 .1833 1 0.90 2.43 .1834 1 0.90 1.47 .1835 1 0.90 1.11 .1836 1 0.90 1.07 .1837 1 0.90 1.14 .1838 1 0.90 1.07 .1839 1 0.90 1.02 .1840 1 0.90 1.07 .1841 2 0.90 1.03 .1842 1 0.90 1.08 .1843 1 0.90 1.03 .1844 1 0.90 0.98 .1845 1 0.90 1.03 .1846 1 0.90 1.03 .1847 1 0.90 0.95 .1848 1 0.90 1.04 .1849 1 0.90 1.02 .1850 1 0.90 1.05 .1851 1 0.90 1.00 .1852 2 0.90 1.01 .1853 1 0.90 0.98 .1854 1 0.90 0.98 .1855 1 0.90 1.03 .1856 1 0.90 1.01 .1857 1 0.90 1.02 .1858 1 0.90 1.00 .1859 1 0.90 0.97 .1860 1 0.90 0.98 .1861 1 0.90 0.96 .1862 1 0.90 1.01 .1863 2 0.90 0.97 .1864 1 0.90 1.01 .1865 1 0.90 0.95 .1866 1 0.90 0.98 .1867 1 0.90 0.97 .1868 1 0.90 0.99 .1869 1 0.90 0.99 .1870 2 0.90 1.07 .1871 1 0.90 1.00 .1872 1 0.90 1.01 .1873 1 0.90 1.01 .1874 1 0.90 1.00 .1875 1 0.91 0.96 .1876 1 0.91 0.99 .1877 1 0.91 1.07 .1878 3 0.91 1.19 .1879 1 0.91 0.97 .1880 1 0.91 0.95 .1881 1 0.91 0.97 .1882 1 0.91 0.99 .1883 1 0.91 0.94 .1884 2 0.91 1.04 .1885 1 0.91 1.01 .1886 1 0.91 0.95 .1887 3 0.91 0.98 .1888 1 0.91 1.02 .1889 1 0.91 0.96 .1890 1 0.91 0.93 .1891 1 0.91 0.97 .1892 1 0.91 1.00 .1893 1 0.91 1.02 .1894 1 0.91 0.95 .1895 1 0.91 0.95 .1896 1 0.91 0.97 .1897 1 0.91 0.93 .1898 1 0.91 1.01 .1899 1 0.91 0.92 .1900 1 0.91 0.95 .1901 1 0.91 0.99 .1902 3 0.91 0.94 .1903 2 0.91 1.01 .1904 1 0.91 0.90 .1905 1 0.91 0.89 .1906 1 0.91 0.97 .1907 1 0.91 0.96 .1908 1 0.91 0.97 .1909 1 0.91 0.92 .1910 1 0.91 0.94 .1911 1 0.91 0.91 .1912 1 0.91 0.95 .1913 1 0.91 0.99 .1914 1 0.91 0.90 .1915 2 0.91 0.94 .1916 3 0.91 0.91 .1917 2 0.91 1.01 .1918 1 0.91 0.94 .1919 1 0.91 0.91 .1920 1 0.91 1.00 .1921 1 0.91 0.94 .1922 1 0.91 0.96 .1923 2 0.91 0.98 .1924 1 0.91 1.15 .1925 2 0.91 1.03 .1926 1 0.91 0.93 .1927 1 0.91 0.94 .1928 1 0.91 0.99 .1929 2 0.91 0.94 .1930 3 0.91 0.98 .1931 2 0.91 0.98 .1932 1 0.91 0.92 .1933 1 0.91 1.01 .1934 1 0.91 0.87 .1935 1 0.91 0.93 .1936 1 0.91 0.96 .1937 2 0.91 0.94 .1938 1 0.91 1.18 .1939 2 0.91 1.08 .1940 1 0.91 0.92 .1941 1 0.91 0.97 .1942 1 0.91 0.96 .1943 1 0.91 0.87 .1944 1 0.91 0.99 .1945 1 0.91 0.88 .1946 1 0.91 0.97 .1947 1 0.91 0.98 .1948 1 0.91 0.93 .1949 1 0.91 0.97 .1950 1 0.91 0.95 .1951 1 0.91 0.96 .1952 1 0.91 0.94 .1953 1 0.91 0.96 .1954 2 0.91 0.93 .1955 2 0.91 0.99 .1956 1 0.91 0.94 .1957 1 0.91 0.95 .1958 1 0.91 0.98 .1959 1 0.91 0.96 .1960 1 0.91 0.93 .1961 2 0.91 1.11 .1962 1 0.91 1.16 .1963 1 0.91 0.93 .1964 1 0.91 0.92 .1965 1 0.91 0.91 .1966 3 0.91 0.97 .1967 1 0.91 0.98 .1968 1 0.91 0.98 .1969 2 0.91 0.96 .1970 2 0.91 1.21 .1971 2 0.91 1.12 .1972 1 0.91 0.90 .1973 1 0.91 0.95 .1974 1 0.91 1.02 .1975 1 0.91 0.93 .1976 1 0.91 0.93 .1977 1 0.91 1.02 .1978 2 0.91 1.00 .1979 1 0.91 0.89 .1980 3 0.91 0.88 .1981 1 0.91 0.90 .1982 1 0.91 0.97 .1983 1 0.91 0.90 .1984 3 0.91 0.90 .1985 1 0.91 1.00 .1986 1 0.91 0.92 .1987 1 0.91 0.90 .1988 1 0.91 0.97 .1989 3 0.92 0.94 .1990 2 0.92 1.00 .1991 2 0.92 0.94 .1992 3 0.92 0.98 .1993 2 0.92 1.01 .1994 2 0.92 1.02 .1995 3 0.92 0.92 .1996 1 0.92 0.90 .1997 1 0.92 0.91 .1998 1 0.92 0.90 .1999 2 0.92 0.95 .2000 2 0.92 0.94 .2001 1 0.92 0.93 .2002 1 0.92 0.92 .2003 1 0.92 0.94 .2004 1 0.92 0.93 .2005 1 0.92 0.89 .2006 1 0.92 0.87 .2007 1 0.92 0.90 .2008 1 0.92 0.90 .2009 1 0.92 0.88 .2010 1 0.92 0.95 .2011 1 0.92 0.98 .2012 1 0.92 0.84 .2013 1 0.92 0.86 .2014 1 0.92 0.87 .2015 1 0.92 0.98 .2016 2 0.92 0.90 .2017 2 0.92 1.03 .2018 1 0.92 0.91 .2019 1 0.92 0.97 .2020 1 0.92 0.88 .2021 1 0.92 0.94 .2022 1 0.92 0.90 .2023 1 0.92 0.89 .2024 1 0.92 0.92 .2025 1 0.92 0.87 .2026 1 0.92 0.87 .2027 1 0.92 0.92 .2028 2 0.92 0.95 .2029 1 0.92 1.13 .2030 1 0.92 0.91 .2031 1 0.92 0.85 .2032 1 0.92 0.89 .2033 1 0.92 0.95 .2034 1 0.92 0.98 .2035 1 0.92 0.91 .2036 1 0.92 0.94 .2037 1 0.92 0.88 .2038 1 0.92 0.92 .2039 1 0.92 0.97 .2040 1 0.92 0.89 .2041 1 0.92 0.90 .2042 1 0.92 0.92 .2043 1 0.92 0.87 .2044 1 0.92 0.91 .2045 2 0.92 1.00 .2046 2 0.92 1.01 .2047 1 0.92 0.89 EXTRACT_IMAGE: b2: masked 377 pixels SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b2: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b2: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Searching about coefficients = 3.68951 -0.10542 -0.00419 0.00016 ARCFIT_ITER: b2: Searching lags from -146 to 145 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Initial wavelength fit = 3.68951 -0.10542 -0.00431 0.00020 ARCFIT_GUESS: b2: Initial correlation = 0.783275 FITARCIMAGE_GLOBAL: b2: Best correlation = 0.783275 FITARCIMAGE_GLOBAL: b2: ASET = 3.68951 -0.10542 -0.00431 0.00020 SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Iterating flux-weighted centers . 0 320 0.054 . 1 320 0.065 . 2 320 0.063 . 3 320 0.058 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 4 0 4.8719418 0.20304394 . 4 320 0.054 . 5 320 0.062 . 6 320 0.055 . 7 320 0.057 . 8 320 0.053 . 9 320 0.057 . 10 320 0.055 . 11 320 0.054 . 12 320 0.058 . 13 320 0.059 . 14 320 0.057 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 15 0 5.6012647 0.28320478 . 15 320 0.061 . 16 320 0.053 . 17 320 0.057 . 18 320 0.054 . 19 320 0.053 . 20 320 0.056 . 21 320 0.057 . 22 320 0.047 . 23 320 0.056 . 24 320 0.054 . 25 320 0.056 . 26 320 0.056 . 27 320 0.053 . 28 320 0.058 . 29 320 0.056 . 30 320 0.057 . 31 320 0.052 . 32 320 0.054 . 33 320 0.066 . 34 320 0.053 . 35 320 0.053 . 36 320 0.053 . 37 320 0.053 . 38 320 0.050 . 39 320 0.052 . 40 320 0.056 . 41 320 0.057 . 42 320 0.051 . 43 320 0.059 . 44 320 0.055 . 45 320 0.052 . 46 320 0.056 . 47 320 0.058 . 48 320 0.054 . 49 320 0.060 . 50 320 0.059 . 51 320 0.058 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 52 5 26.658989 5.1216173 0.83281456 0.36464024 224.89049 1 . 52 320 0.062 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 53 0 32.816197 0.22090333 . 53 320 0.054 . 54 320 0.051 . 55 320 0.059 . 56 320 0.062 . 57 320 0.053 . 58 320 0.056 . 59 320 0.066 . 60 320 0.063 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 61 0 17.154291 0.26566669 . 61 320 0.059 . 62 320 0.052 . 63 320 0.055 . 64 320 0.063 . 65 320 0.051 . 66 320 0.057 . 67 320 0.062 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 68 0 5.5096874 0.26474604 . 68 320 0.057 . 69 320 0.057 . 70 320 0.054 . 71 320 0.065 . 72 320 0.058 . 73 320 0.055 . 74 320 0.059 . 75 320 0.053 . 76 320 0.056 . 77 320 0.055 . 78 320 0.056 . 79 320 0.056 . 80 320 0.056 . 81 320 0.055 . 82 320 0.058 . 83 320 0.055 . 84 320 0.055 . 85 320 0.058 . 86 320 0.058 . 87 320 0.062 . 88 320 0.059 . 89 320 0.059 . 90 320 0.060 . 91 320 0.055 . 92 320 0.060 . 93 320 0.051 . 94 320 0.059 . 95 320 0.052 . 96 320 0.059 . 97 320 0.055 . 98 320 0.052 . 99 320 0.053 . 100 320 0.053 . 101 320 0.059 . 102 320 0.066 . 103 320 0.053 . 104 320 0.050 . 105 320 0.055 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 106 0 12.560835 0.23854678 . 106 320 0.056 . 107 320 0.055 . 108 320 0.054 . 109 320 0.059 . 110 320 0.062 . 111 320 0.061 . 112 320 0.058 . 113 320 0.059 . 114 320 0.059 . 115 320 0.062 . 116 320 0.052 . 117 320 0.048 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 118 0 10.203228 0.27783239 . 118 320 0.058 . 119 320 0.058 . 120 320 0.052 . 121 320 0.061 . 122 320 0.052 . 123 320 0.051 . 124 320 0.050 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 125 0 2.8683068 0.20960328 . 125 320 0.055 . 126 320 0.057 . 127 320 0.049 . 128 320 0.053 . 129 320 0.060 . 130 320 0.053 . 131 320 0.055 . 132 320 0.056 . 133 320 0.056 . 134 320 0.051 . 135 320 0.052 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 136 0 -0.38642776 0.27436427 . 136 320 0.065 . 137 320 0.057 . 138 320 0.056 . 139 320 0.051 . 140 320 0.057 . 141 320 0.054 . 142 320 0.051 . 143 320 0.053 . 144 320 0.055 . 145 320 0.055 . 146 320 0.051 . 147 320 0.058 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 148 0 10.766976 0.20878339 . 148 320 0.054 . 149 320 0.054 . 150 320 0.053 . 151 320 0.059 . 152 320 0.053 . 153 320 0.056 . 154 320 0.052 . 155 320 0.055 . 156 320 0.058 . 157 320 0.058 . 158 320 0.053 . 159 320 0.058 . 160 320 0.057 . 161 320 0.062 . 162 320 0.054 . 163 320 0.054 . 164 320 0.056 . 165 320 0.051 . 166 320 0.056 . 167 320 0.061 . 168 320 0.056 . 169 320 0.058 . 170 320 0.054 . 171 320 0.051 . 172 320 0.054 . 173 320 0.060 . 174 320 0.056 . 175 320 0.054 . 176 320 0.058 . 177 320 0.056 . 178 320 0.057 . 179 320 0.056 . 180 320 0.051 . 181 320 0.059 . 182 320 0.056 . 183 320 0.056 . 184 320 0.063 . 185 320 0.057 . 186 320 0.056 . 187 320 0.052 . 188 320 0.056 . 189 320 0.055 . 190 320 0.055 . 191 320 0.063 . 192 320 0.056 . 193 320 0.051 . 194 320 0.057 . 195 320 0.056 . 196 320 0.050 . 197 320 0.058 . 198 320 0.059 . 199 320 0.063 . 200 320 0.051 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 201 0 19.640282 0.24491428 . 201 320 0.058 . 202 320 0.065 . 203 320 0.065 . 204 320 0.053 . 205 320 0.056 . 206 320 0.066 . 207 320 0.058 . 208 320 0.056 . 209 320 0.057 . 210 320 0.060 . 211 320 0.054 . 212 320 0.053 . 213 320 0.055 . 214 320 0.053 . 215 320 0.053 . 216 320 0.054 . 217 320 0.051 . 218 320 0.049 . 219 320 0.056 . 220 320 0.054 . 221 320 0.054 . 222 320 0.057 . 223 320 0.061 . 224 320 0.055 . 225 320 0.054 . 226 320 0.057 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 227 4 25.549782 5.2716388 214.65505 26.045037 1.1004728e+08 5 . 227 320 0.176 . 228 320 0.061 . 229 320 0.051 . 230 320 0.058 . 231 320 0.058 . 232 320 0.052 . 233 320 0.051 . 234 320 0.057 . 235 320 0.062 . 236 320 0.063 . 237 320 0.057 . 238 320 0.051 . 239 320 0.055 . 240 320 0.056 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -0.81972437 2.7801599 0.69032172 -0.0000000 8.5209785 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -22.702970 3.6203482 0.61404407 -0.0000000 7.5659287 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -18.712648 3.4689525 0.47981726 0.57659501 7.5472147 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -28.518572 2.8220970 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 4 0.87957435 3.0959281 3.1318795 0.0000000 6.5643988 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -1.4332598 2.7664500 0.52732598 -0.0000000 8.6036172 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 6 0.45076412 2.7548618 1.1450224 -0.0000000 7.9606656 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -2.9321081 2.4605507 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -34.950598 3.2442424 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -15.196240 2.5940386 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -9.5992951 2.5826125 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -7.2183488 2.4800871 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -7.4824212 2.8152345 0.66987238 -0.0000000 8.5746682 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 13 -9.8688021 3.1041291 0.56407011 0.58587439 8.6798004 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -0.50400343 2.4414131 0.0000000 0.0000000 0.0000000 3 . 241 320 0.095 . 242 320 0.050 . 243 320 0.055 . 244 320 0.056 . 245 320 0.059 . 246 320 0.049 . 247 320 0.055 . 248 320 0.054 . 249 320 0.063 . 250 320 0.054 . 251 320 0.057 . 252 320 0.051 . 253 320 0.054 . 254 320 0.054 . 255 320 0.055 . 256 320 0.052 . 257 320 0.052 . 258 320 0.053 . 259 320 0.050 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 260 0 10.327066 0.22480936 . 260 320 0.054 . 261 320 0.052 . 262 320 0.052 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 0 3.3074017 2.4386428 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -15.544573 2.9581962 0.43673596 -0.0000000 9.4826509 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -0.65017860 3.1370770 1.9881916 -0.0000000 7.7230435 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 263 3 -41.278234 0.29128625 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 4 0.63736632 2.4541675 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 5 0.45378191 2.7792306 0.94019615 -0.0000000 8.6631994 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 6 -5.1142953 2.7793257 0.67464155 -0.0000000 8.1996852 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -2.7870111 3.1223075 1.0553488 -0.0000000 6.7150633 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -54.092301 4.2419206 0.39111030 0.41842631 9.6847819 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -12.235842 2.5592136 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -15.557271 2.5743658 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 11 -6.2782209 3.1511718 2.3205200 -0.0000000 8.6925878 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -5.2501236 2.8182640 0.64741429 -0.0000000 8.5991090 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 13 -5.2290440 2.4913361 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 14 -2.5718726 2.8573985 0.44332160 -0.0000000 8.5319209 1 . 263 320 0.100 . 264 320 0.065 . 265 320 0.055 . 266 320 0.051 . 267 320 0.060 . 268 320 0.052 . 269 320 0.053 . 270 320 0.054 . 271 320 0.052 . 272 320 0.054 . 273 320 0.050 . 274 320 0.053 . 275 320 0.056 . 276 320 0.056 . 277 320 0.052 . 278 320 0.059 . 279 320 0.055 . 280 320 0.050 . 281 320 0.055 . 282 320 0.057 . 283 320 0.069 . 284 320 0.056 . 285 320 0.053 . 286 320 0.059 . 287 320 0.058 . 288 320 0.065 . 289 320 0.055 . 290 320 0.055 . 291 320 0.055 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -2.6984257 2.7584654 0.61775350 -0.0000000 8.1046450 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -15.517849 3.3755394 0.39504112 -0.0000000 7.1693054 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -7.8905785 2.7827702 0.67560950 -0.0000000 8.2724634 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -14.358585 2.8187954 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -1.2529949 2.7819213 0.60499461 -0.0000000 8.4822481 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -6.1636804 3.3494387 0.46787022 -0.0000000 7.0757207 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -0.30866182 2.7627650 0.31212624 -0.0000000 8.9886405 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -3.3339964 2.4779859 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -18.821611 2.9029552 0.31326245 -0.0000000 8.6516488 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -16.077216 3.6967913 0.57290492 0.65160142 8.5447757 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 11 -5.8904459 2.5470077 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -8.9629302 2.7999088 0.41318620 -0.0000000 8.6658156 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 13 -13.997351 3.3698251 1.3000773 -0.0000000 6.8991326 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 14 -4.6837298 2.7411864 11.906081 0.0000000 8.3461092 1 . 292 320 0.101 . 293 320 0.053 . 294 320 0.053 . 295 320 0.056 . 296 320 0.052 . 297 320 0.056 . 298 320 0.065 . 299 320 0.066 . 300 320 0.059 . 301 320 0.054 . 302 320 0.055 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 303 0 9.0815586 0.25489404 . 303 320 0.056 . 304 320 0.058 . 305 320 0.059 . 306 320 0.054 . 307 320 0.054 . 308 320 0.063 . 309 320 0.057 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 310 0 -4.0200425 0.20336790 . 310 320 0.052 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -0.099765334 2.7935392 0.57140790 -0.0000000 8.7452178 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -8.6385051 3.5082473 0.67251408 -0.0000000 7.4500079 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -15.321936 3.1493239 1.7324807 1.6880652 7.6195491 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -23.121080 3.7272659 0.52996585 -0.0000000 7.6931071 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -4.3774700 2.7953435 0.71096196 -0.0000000 8.3397865 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -1.2139012 2.4605847 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -2.3237090 2.4400537 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -3.2808300 2.8340145 0.51319981 -0.0000000 9.0542847 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -26.080302 3.1098727 0.82586901 -0.0000000 8.4493543 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 311 10 -28.247452 0.23824228 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -14.580266 2.4536620 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -4.9360119 2.4684613 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -8.8797147 2.8133267 0.86749233 -0.0000000 8.9044102 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -7.9830031 2.7532465 0.65625618 -0.0000000 8.9353607 1 . 311 320 0.133 . 312 320 0.053 . 313 320 0.051 . 314 320 0.058 . 315 320 0.054 . 316 320 0.062 . 317 320 0.052 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 318 0 6.9189382 0.20216889 . 318 320 0.063 . 319 320 0.066 FITARCIMAGE_GLOBAL: b2: Line 0, at 3983.8390 Ang: ERR= 0.121970 ERR_RMS= 0.0351311 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 1, at 4046.5720 Ang: ERR= 0.00379203 ERR_RMS= 0.000169614 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 2, at 4077.8380 Ang: ERR= 0.0122714 ERR_RMS= 0.000710410 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 3, at 4358.3370 Ang: ERR= 0.00271420 ERR_RMS= 0.0162338 pix, 3 masked. FITARCIMAGE_GLOBAL: b2: Line 4, at 4678.1490 Ang: ERR= 0.0224467 ERR_RMS= 0.00254850 pix, 6 masked. FITARCIMAGE_GLOBAL: b2: Line 5, at 4799.9120 Ang: ERR= 0.0119008 ERR_RMS= 0.000686786 pix, 6 masked. FITARCIMAGE_GLOBAL: b2: Line 6, at 4916.0700 Ang: ERR= 0.0450309 ERR_RMS= 0.00491837 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Line 7, at 5085.8220 Ang: ERR= 0.00914348 ERR_RMS= 0.00179918 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 8, at 5460.7530 Ang: ERR= 0.00223993 ERR_RMS= 0.0124870 pix, 2 masked. FITARCIMAGE_GLOBAL: b2: Line 9, at 5769.5980 Ang: ERR= 0.00481516 ERR_RMS= 0.000203839 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 10, at 5790.6630 Ang: ERR= 0.00501280 ERR_RMS= 0.0131220 pix, 3 masked. FITARCIMAGE_GLOBAL: b2: Line 11, at 5852.4880 Ang: ERR= 0.00784867 ERR_RMS= 0.000403692 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 12, at 5881.8950 Ang: ERR= 0.00982095 ERR_RMS= 0.000694340 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 13, at 5944.8340 Ang: ERR= 0.00748268 ERR_RMS= 0.000381450 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 14, at 6029.9970 Ang: ERR= 0.0165440 ERR_RMS= 0.000973785 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b2: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 1 3 15 1 4 15 0 5 15 0 6 15 0 7 15 0 8 15 1 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 1 16 15 0 17 15 0 18 15 1 19 15 1 20 15 0 21 15 0 22 15 2 23 15 0 24 15 0 25 15 0 26 15 1 27 15 0 28 15 0 29 15 1 30 15 1 31 15 1 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 1 38 15 1 39 15 0 40 15 1 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 1 52 15 2 53 15 2 54 15 0 55 15 1 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 1 65 15 0 66 15 0 67 15 0 68 15 1 69 15 0 70 15 0 71 15 1 72 15 0 73 15 0 74 15 0 75 15 1 76 15 0 77 15 1 78 15 0 79 15 1 80 15 0 81 15 0 82 15 0 83 15 0 84 15 1 85 15 0 86 15 0 87 15 0 88 15 1 89 15 1 90 15 1 91 15 1 92 15 0 93 15 0 94 15 0 95 15 0 96 15 1 97 15 1 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 1 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 1 113 15 0 114 15 0 115 15 1 116 15 0 117 15 1 118 15 1 119 15 0 120 15 0 121 15 0 122 15 1 123 15 0 124 15 0 125 15 1 126 15 1 127 15 0 128 15 1 129 15 1 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 1 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 1 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 1 157 15 0 158 15 1 159 15 1 160 15 1 161 15 0 162 15 0 163 15 0 164 15 1 165 15 0 166 15 1 167 15 0 168 15 1 169 15 1 170 15 0 171 15 0 172 15 1 173 15 1 174 15 1 175 15 0 176 15 1 177 15 0 178 15 0 179 15 0 180 15 1 181 15 0 182 15 0 183 15 0 184 15 1 185 15 0 186 15 0 187 15 0 188 15 1 189 15 1 190 15 0 191 15 0 192 15 0 193 15 1 194 15 0 195 15 1 196 15 0 197 15 0 198 15 1 199 15 0 200 15 0 201 15 1 202 15 1 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 1 224 15 1 225 15 0 226 15 1 227 15 1 228 15 0 229 15 0 230 15 0 231 15 1 232 15 1 233 15 0 234 15 0 235 15 0 236 15 0 237 15 1 238 15 1 239 15 0 240 15 1 241 15 15 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 1 255 15 1 256 15 0 257 15 0 258 15 1 259 15 0 260 15 0 261 15 1 262 15 1 263 15 14 264 15 0 265 15 0 266 15 0 267 15 0 268 15 1 269 15 1 270 15 0 271 15 1 272 15 0 273 15 0 274 15 1 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 1 282 15 1 283 15 0 284 15 1 285 15 0 286 15 1 287 15 1 288 15 0 289 15 0 290 15 1 291 15 1 292 15 14 293 15 0 294 15 1 295 15 1 296 15 0 297 15 0 298 15 0 299 15 0 300 15 1 301 15 0 302 15 1 303 15 1 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 13 312 15 1 313 15 0 314 15 1 315 15 1 316 15 1 317 15 1 318 15 1 319 15 0 XY2TRACESET: b2: Total rejected = 159 Pass 1 complete FITARCIMAGE_GLOBAL: b2: Number of arclines after bundle test = 15 FITARCLINES: b2: ncoeffs (x,y): 4 5 FITARCLINES: b2: errored out 4 fibers: 241 263 292 311 FITARCLINES: b2: fit rchi2: 0.12095887 FITARCLINES: b2: offset stddev: 320 1.9942031e-13 FITARCLINES: b2: scale stddev: 320 3.2445290e-13 FITARCLINES: b2: poly x,y,stddev: 0 0 6.8450247e-07 FITARCLINES: b2: poly x,y,stddev: 1 0 2.0073915e-06 FITARCLINES: b2: poly x,y,stddev: 2 0 1.5762287e-06 FITARCLINES: b2: poly x,y,stddev: 3 0 3.1716532e-06 FITARCLINES: b2: poly x,y,stddev: 0 1 4.5433440e-07 FITARCLINES: b2: poly x,y,stddev: 1 1 1.3325516e-06 FITARCLINES: b2: poly x,y,stddev: 2 1 1.0481093e-06 FITARCLINES: b2: poly x,y,stddev: 3 1 2.1077151e-06 FITARCLINES: b2: poly x,y,stddev: 0 2 4.6415663e-07 FITARCLINES: b2: poly x,y,stddev: 1 2 1.3785711e-06 FITARCLINES: b2: poly x,y,stddev: 2 2 1.0927200e-06 FITARCLINES: b2: poly x,y,stddev: 3 2 2.1991844e-06 FITARCLINES: b2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: b2: IVAR=0 centroids masked: 62 Final arcfit complete FITARCIMAGE_GLOBAL: b2: Time 34. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 6 1.00 1.58 .0001 5 1.00 2.68 .0002 13 1.00 1.33 .0003 7 1.00 1.80 .0004 6 1.00 1.97 .0005 5 1.00 1.91 .0006 4 1.00 2.37 .0007 5 1.00 1.62 .0008 7 1.00 1.84 .0009 9 1.00 1.96 .0010 4 1.00 2.88 .0011 6 1.00 1.51 .0012 6 1.00 1.93 .0013 6 1.00 1.72 .0014 5 1.00 1.78 .0015 6 1.00 1.73 .0016 10 1.00 1.71 .0017 4 1.00 2.47 .0018 7 1.00 1.66 .0019 5 1.00 1.91 .0020 6 1.00 2.20 .0021 5 1.00 2.41 .0022 7 1.00 1.95 .0023 5 1.00 2.27 .0024 6 1.00 1.66 .0025 5 1.00 2.45 .0026 6 1.00 1.72 .0027 7 1.00 1.76 .0028 4 1.00 1.94 .0029 5 1.00 1.75 .0030 11 1.00 1.36 .0031 5 1.00 2.21 .0032 6 1.00 1.71 .0033 10 1.00 1.40 .0034 6 1.00 1.62 .0035 6 1.00 2.11 .0036 5 1.00 2.11 .0037 7 1.00 1.54 .0038 7 1.00 1.49 .0039 10 1.00 1.40 .0040 5 1.00 1.93 .0041 6 1.00 2.01 .0042 4 1.00 2.29 .0043 6 1.00 2.03 .0044 5 1.00 1.60 .0045 5 1.00 1.87 .0046 4 1.00 1.43 .0047 7 1.00 1.28 .0048 6 1.00 1.96 .0049 5 1.00 2.24 .0050 5 1.00 2.21 .0051 4 1.00 2.80 .0052 5 1.00 1.96 .0053 10 1.00 1.67 .0054 4 1.00 1.77 .0055 4 1.00 1.60 .0056 5 1.00 1.81 .0057 7 1.00 1.29 .0058 12 1.00 0.90 .0059 7 1.00 1.16 .0060 11 1.00 0.87 .0061 9 1.00 1.00 .0062 7 1.00 1.11 .0063 6 1.00 1.29 .0064 13 1.00 1.07 .0065 4 1.00 1.78 .0066 8 1.00 1.28 .0067 5 1.00 1.55 .0068 5 1.00 1.15 .0069 6 1.00 1.16 .0070 8 1.00 1.43 .0071 7 1.00 1.96 .0072 4 1.00 2.07 .0073 5 1.00 1.21 .0074 6 1.00 1.20 .0075 7 1.00 1.02 .0076 6 1.00 1.20 .0077 11 1.00 1.01 .0078 5 1.00 1.62 .0079 5 1.00 1.34 .0080 5 1.00 1.03 .0081 7 1.00 1.32 .0082 4 1.00 1.40 .0083 5 1.00 1.45 .0084 9 1.00 1.16 .0085 8 1.00 1.45 .0086 9 1.00 1.04 .0087 10 1.00 1.20 .0088 5 1.00 1.64 .0089 8 1.00 0.94 .0090 7 1.00 1.23 .0091 11 1.00 1.08 .0092 5 1.00 1.54 .0093 5 1.00 1.30 .0094 7 1.00 1.30 .0095 7 1.00 1.23 .0096 10 1.00 1.18 .0097 6 1.00 1.18 .0098 11 1.00 0.86 .0099 6 1.00 1.38 .0100 6 1.00 1.06 .0101 5 1.00 1.50 .0102 9 1.00 0.98 .0103 6 1.00 0.98 .0104 10 1.00 0.90 .0105 5 1.00 1.29 .0106 7 1.00 1.25 .0107 10 1.00 0.88 .0108 11 1.00 0.89 .0109 11 1.00 0.92 .0110 5 1.00 1.32 .0111 5 1.00 1.22 .0112 9 1.00 1.04 .0113 5 1.00 1.23 .0114 9 1.00 1.22 .0115 10 1.00 1.25 .0116 5 1.00 1.72 .0117 9 1.00 1.52 .0118 5 1.00 1.27 .0119 12 1.00 1.05 .0120 10 1.00 1.03 .0121 5 1.00 1.79 .0122 14 1.00 1.10 .0123 5 1.00 1.57 .0124 3 1.00 1.57 .0125 5 1.00 1.61 .0126 5 1.00 1.22 .0127 6 1.00 1.10 .0128 8 1.00 1.03 .0129 4 1.00 1.48 .0130 7 1.00 1.32 .0131 7 1.00 1.16 .0132 5 1.00 1.60 .0133 7 1.00 1.32 .0134 5 1.00 1.24 .0135 6 1.00 1.34 .0136 9 1.00 1.00 .0137 14 1.00 1.17 .0138 14 1.00 1.24 .0139 15 1.00 1.02 .0140 6 1.00 1.35 .0141 4 1.00 2.11 .0142 7 1.00 1.95 .0143 7 1.00 1.29 .0144 6 1.00 1.40 .0145 6 1.00 1.22 .0146 5 1.00 1.44 .0147 6 1.00 1.72 .0148 7 1.00 1.13 .0149 6 1.00 1.35 .0150 8 1.00 1.28 .0151 6 1.00 1.25 .0152 6 1.00 1.35 .0153 6 1.00 1.32 .0154 6 1.00 1.01 .0155 6 1.00 1.15 .0156 7 1.00 1.20 .0157 4 1.00 1.47 .0158 5 1.00 1.11 .0159 5 1.00 1.42 .0160 5 1.00 1.33 .0161 4 1.00 1.85 .0162 5 1.00 1.87 .0163 4 1.00 1.98 .0164 7 1.00 1.33 .0165 5 1.00 1.23 .0166 5 1.00 1.79 .0167 7 1.00 1.29 .0168 5 1.00 1.28 .0169 5 1.00 1.34 .0170 5 1.00 1.21 .0171 6 1.00 1.79 .0172 7 1.00 1.27 .0173 5 1.00 2.08 .0174 5 1.00 2.06 .0175 4 1.00 2.06 .0176 7 1.00 1.34 .0177 9 1.00 1.14 .0178 6 1.00 1.14 .0179 5 1.00 1.17 .0180 15 1.00 1.14 .0181 9 1.00 1.48 .0182 5 1.00 1.77 .0183 12 1.00 1.19 .0184 10 1.00 1.39 .0185 12 1.00 1.07 .0186 4 1.00 1.73 .0187 8 1.00 1.31 .0188 8 1.00 1.48 .0189 5 1.00 1.96 .0190 9 1.00 1.42 .0191 5 1.00 1.66 .0192 7 1.00 1.39 .0193 6 1.00 1.51 .0194 4 1.00 1.55 .0195 4 1.00 1.67 .0196 5 1.00 1.66 .0197 7 1.00 1.44 .0198 4 1.00 1.77 .0199 13 1.00 0.92 .0200 12 1.00 0.90 .0201 8 1.00 1.06 .0202 7 1.00 1.19 .0203 8 1.00 0.88 .0204 9 1.00 0.92 .0205 9 1.00 0.91 .0206 8 1.00 0.95 .0207 8 1.00 1.06 .0208 6 1.00 1.09 .0209 6 1.00 1.29 .0210 6 1.00 1.10 .0211 10 1.00 1.02 .0212 10 1.00 0.92 .0213 3 1.00 2.08 .0214 4 1.00 1.89 .0215 5 1.00 1.69 .0216 9 1.00 1.16 .0217 5 1.00 1.18 .0218 5 1.00 1.18 .0219 5 1.00 1.31 .0220 5 1.00 1.24 .0221 8 1.00 1.21 .0222 5 1.00 1.53 .0223 7 1.00 1.29 .0224 11 1.00 1.03 .0225 8 1.00 0.92 .0226 9 1.00 0.87 .0227 7 1.00 0.95 .0228 5 1.00 1.41 .0229 7 1.00 0.87 .0230 9 1.00 0.85 .0231 6 1.00 1.10 .0232 11 1.00 0.93 .0233 4 1.00 1.30 .0234 8 1.00 0.97 .0235 4 1.00 2.05 .0236 4 1.00 1.81 .0237 5 1.00 1.46 .0238 14 1.00 0.91 .0239 8 1.00 1.27 .0240 6 1.00 1.10 .0241 1 1.00 0.25 .0242 6 1.00 1.30 .0243 17 1.00 0.99 .0244 15 1.00 1.00 .0245 7 1.00 1.80 .0246 8 1.00 1.03 .0247 7 1.00 1.16 .0248 6 1.00 1.00 .0249 7 1.00 1.12 .0250 5 1.00 1.51 .0251 6 1.00 1.45 .0252 8 1.00 1.09 .0253 8 1.00 0.98 .0254 6 1.00 0.91 .0255 5 1.00 1.20 .0256 11 1.00 1.25 .0257 10 1.00 1.27 .0258 7 1.00 1.44 .0259 9 1.00 1.47 .0260 4 1.00 1.53 .0261 5 1.00 1.84 .0262 14 1.00 0.99 .0263 1 1.00 0.34 .0264 8 1.00 1.20 .0265 6 1.00 1.16 .0266 5 1.00 1.40 .0267 4 1.00 1.33 .0268 4 1.00 1.91 .0269 5 1.00 1.75 .0270 3 1.00 2.45 .0271 6 1.00 1.81 .0272 3 1.00 2.60 .0273 4 1.00 2.45 .0274 9 1.00 1.24 .0275 5 1.00 2.40 .0276 7 1.00 1.84 .0277 8 1.00 1.36 .0278 15 1.00 1.01 .0279 6 1.00 1.71 .0280 8 1.00 1.58 .0281 9 1.00 1.45 .0282 4 1.00 2.37 .0283 6 1.00 2.40 .0284 4 1.00 2.39 .0285 6 1.00 1.79 .0286 7 1.00 1.31 .0287 5 1.00 2.07 .0288 5 1.00 1.59 .0289 6 1.00 2.00 .0290 6 1.00 1.81 .0291 7 1.00 1.64 .0292 1 1.00 0.59 .0293 5 1.00 2.23 .0294 7 1.00 1.55 .0295 4 1.00 2.40 .0296 5 1.00 1.83 .0297 7 1.00 1.82 .0298 6 1.00 1.96 .0299 4 1.00 2.28 .0300 7 1.00 1.38 .0301 8 1.00 1.35 .0302 5 1.00 1.50 .0303 4 1.00 1.79 .0304 10 1.00 1.41 .0305 8 1.00 1.38 .0306 8 1.00 1.46 .0307 5 1.00 1.57 .0308 6 1.00 2.19 .0309 3 1.00 2.40 .0310 9 1.00 1.46 .0311 3 1.00 0.56 .0312 4 1.00 1.81 .0313 5 1.00 1.75 .0314 4 1.00 2.45 .0315 7 1.00 1.85 .0316 7 1.00 1.80 .0317 4 1.00 2.52 .0318 3 1.00 2.69 .0319 5 1.00 2.63 EXTRACT_IMAGE: b2: masked 3890 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 0 FITDISPERSION: b2: Median wavelength widths = 0.83 0.82 0.86 0.85 pix (LL LR UL UR) SPCALIB: b2: Create fiberflats for flat # 1 of 2 SPCALIB: b2: Flat sdR-b2-00034673.fit paired with arc sdR-b2-00034674.fit SPCALIB: b2: Reading flat sdR-b2-00034673.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.89815 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1226.16 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1207. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.34462 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1199.09 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 1 0.90 1.25 .0001 1 0.90 1.22 .0002 1 0.90 1.18 .0003 1 0.90 1.23 .0004 1 0.90 1.25 .0005 1 0.90 1.33 .0006 1 0.90 1.12 .0007 1 0.90 1.08 .0008 2 0.90 1.26 .0009 1 0.90 1.27 .0010 1 0.90 1.18 .0011 1 0.90 1.16 .0012 1 0.90 1.12 .0013 1 0.90 1.13 .0014 1 0.90 1.23 .0015 1 0.90 1.18 .0016 1 0.90 1.23 .0017 1 0.90 1.15 .0018 1 0.90 1.15 .0019 1 0.90 1.18 .0020 1 0.90 1.11 .0021 1 0.90 1.19 .0022 1 0.90 1.20 .0023 1 0.90 1.05 .0024 1 0.90 1.14 .0025 1 0.90 1.14 .0026 1 0.90 1.19 .0027 1 0.90 1.17 .0028 1 0.90 1.18 .0029 1 0.90 0.99 .0030 1 0.90 1.14 .0031 1 0.91 1.18 .0032 1 0.91 1.15 .0033 1 0.91 1.15 .0034 1 0.91 1.17 .0035 1 0.91 1.28 .0036 2 0.91 1.14 .0037 1 0.91 1.19 .0038 1 0.91 1.14 .0039 1 0.91 1.19 .0040 1 0.91 1.11 .0041 1 0.91 1.10 .0042 1 0.91 1.14 .0043 1 0.91 1.09 .0044 1 0.91 1.18 .0045 1 0.91 1.23 .0046 1 0.91 1.14 .0047 1 0.91 1.21 .0048 1 0.91 1.19 .0049 1 0.91 1.15 .0050 1 0.91 1.17 .0051 1 0.91 1.14 .0052 1 0.91 1.17 .0053 1 0.91 1.06 .0054 1 0.91 1.13 .0055 1 0.91 1.08 .0056 1 0.91 1.13 .0057 1 0.91 1.07 .0058 1 0.91 1.10 .0059 1 0.91 1.07 .0060 1 0.91 1.10 .0061 1 0.91 1.12 .0062 1 0.91 1.22 .0063 1 0.91 1.07 .0064 1 0.91 1.13 .0065 1 0.91 1.18 .0066 1 0.91 1.09 .0067 1 0.91 1.12 .0068 1 0.91 1.12 .0069 1 0.91 1.10 .0070 1 0.91 1.06 .0071 1 0.91 1.09 .0072 1 0.91 1.11 .0073 1 0.91 1.11 .0074 1 0.91 1.07 .0075 1 0.91 1.15 .0076 1 0.91 1.13 .0077 1 0.91 1.02 .0078 1 0.91 1.22 .0079 1 0.91 1.11 .0080 1 0.91 1.12 .0081 1 0.91 1.27 .0082 1 0.91 1.12 .0083 1 0.91 1.15 .0084 3 0.91 1.13 .0085 1 0.91 1.21 .0086 1 0.91 1.17 .0087 1 0.91 1.23 .0088 1 0.91 1.23 .0089 1 0.91 1.20 .0090 1 0.91 1.18 .0091 1 0.91 1.28 .0092 1 0.91 1.18 .0093 1 0.90 1.20 .0094 1 0.90 1.25 .0095 1 0.90 1.23 .0096 1 0.90 1.27 .0097 1 0.90 1.20 .0098 1 0.90 1.30 .0099 3 0.90 1.29 .0100 1 0.90 1.29 .0101 1 0.90 1.24 .0102 1 0.90 1.36 .0103 1 0.90 1.23 .0104 1 0.90 1.31 .0105 1 0.90 1.32 .0106 1 0.90 1.27 .0107 1 0.90 1.33 .0108 1 0.90 1.23 .0109 1 0.90 1.41 .0110 1 0.90 1.27 .0111 1 0.90 1.37 .0112 1 0.90 1.38 .0113 1 0.90 1.35 .0114 1 0.90 1.23 .0115 1 0.90 1.39 .0116 1 0.90 1.35 .0117 1 0.90 1.38 .0118 1 0.90 1.43 .0119 1 0.90 1.36 .0120 1 0.90 1.37 .0121 1 0.91 1.38 .0122 1 0.91 1.37 .0123 1 0.91 1.31 .0124 1 0.91 1.37 .0125 1 0.91 1.33 .0126 1 0.91 1.39 .0127 1 0.91 1.43 .0128 1 0.91 1.44 .0129 1 0.91 1.42 .0130 1 0.91 1.40 .0131 1 0.91 1.32 .0132 1 0.91 1.34 .0133 1 0.91 1.36 .0134 1 0.91 1.34 .0135 1 0.91 1.27 .0136 1 0.91 1.41 .0137 1 0.91 1.31 .0138 1 0.91 1.29 .0139 1 0.91 1.41 .0140 1 0.91 1.37 .0141 1 0.91 1.38 .0142 1 0.91 1.28 .0143 1 0.91 1.43 .0144 1 0.91 1.29 .0145 2 0.91 1.42 .0146 1 0.91 1.38 .0147 2 0.91 1.44 .0148 2 0.91 1.39 .0149 1 0.91 1.50 .0150 1 0.91 1.40 .0151 1 0.91 1.34 .0152 1 0.91 1.65 .0153 1 0.91 1.41 .0154 1 0.91 1.35 .0155 1 0.91 1.38 .0156 1 0.91 1.32 .0157 1 0.91 1.26 .0158 1 0.91 1.38 .0159 1 0.91 1.36 .0160 1 0.91 1.39 .0161 1 0.91 1.35 .0162 1 0.91 1.38 .0163 1 0.91 1.51 .0164 1 0.91 1.45 .0165 1 0.91 1.42 .0166 1 0.91 1.35 .0167 1 0.91 1.27 .0168 1 0.91 1.31 .0169 1 0.91 1.41 .0170 1 0.91 1.34 .0171 1 0.91 1.36 .0172 2 0.91 1.40 .0173 1 0.91 1.38 .0174 1 0.91 1.39 .0175 1 0.91 1.39 .0176 1 0.91 1.36 .0177 1 0.91 1.32 .0178 1 0.91 1.35 .0179 1 0.91 1.40 .0180 1 0.91 1.41 .0181 1 0.91 1.44 .0182 1 0.91 1.37 .0183 1 0.91 1.38 .0184 2 0.91 1.52 .0185 1 0.91 1.41 .0186 1 0.91 1.34 .0187 1 0.91 1.35 .0188 1 0.91 1.37 .0189 1 0.91 1.35 .0190 1 0.91 1.42 .0191 1 0.91 1.50 .0192 1 0.91 1.37 .0193 1 0.91 1.46 .0194 1 0.91 1.43 .0195 1 0.91 1.39 .0196 1 0.91 1.47 .0197 1 0.91 1.45 .0198 1 0.91 1.43 .0199 1 0.91 1.44 .0200 1 0.91 1.45 .0201 1 0.91 1.41 .0202 1 0.91 1.32 .0203 1 0.91 1.38 .0204 1 0.91 1.51 .0205 1 0.91 1.51 .0206 1 0.91 1.44 .0207 1 0.91 1.45 .0208 1 0.91 1.46 .0209 1 0.91 1.48 .0210 1 0.91 1.46 .0211 1 0.91 1.38 .0212 1 0.91 1.39 .0213 1 0.91 1.44 .0214 1 0.91 1.50 .0215 1 0.91 1.43 .0216 1 0.91 1.53 .0217 1 0.91 1.42 .0218 1 0.91 1.49 .0219 1 0.91 1.43 .0220 1 0.91 1.46 .0221 1 0.91 1.43 .0222 1 0.91 1.52 .0223 2 0.91 1.37 .0224 1 0.91 1.41 .0225 2 0.91 1.52 .0226 2 0.91 1.77 .0227 1 0.91 1.46 .0228 1 0.91 1.47 .0229 1 0.91 1.50 .0230 1 0.91 1.38 .0231 1 0.91 1.39 .0232 1 0.91 1.52 .0233 1 0.91 1.45 .0234 1 0.91 1.53 .0235 1 0.91 1.46 .0236 1 0.91 1.50 .0237 1 0.91 1.43 .0238 1 0.91 1.51 .0239 1 0.91 1.44 .0240 1 0.91 1.53 .0241 1 0.91 1.53 .0242 1 0.91 1.33 .0243 1 0.91 1.46 .0244 1 0.91 1.53 .0245 1 0.91 1.44 .0246 1 0.91 1.41 .0247 1 0.91 1.57 .0248 1 0.91 1.46 .0249 1 0.91 1.51 .0250 1 0.91 1.60 .0251 1 0.91 1.57 .0252 1 0.91 1.60 .0253 1 0.91 1.51 .0254 1 0.91 1.46 .0255 1 0.91 1.57 .0256 3 0.91 1.66 .0257 3 0.91 1.54 .0258 2 0.91 1.61 .0259 1 0.91 1.55 .0260 1 0.91 1.57 .0261 1 0.91 1.48 .0262 1 0.91 1.56 .0263 1 0.91 1.59 .0264 1 0.91 1.64 .0265 1 0.91 1.61 .0266 1 0.91 1.50 .0267 1 0.91 1.60 .0268 1 0.91 1.51 .0269 1 0.91 1.66 .0270 1 0.91 1.60 .0271 1 0.91 1.57 .0272 1 0.91 1.81 .0273 1 0.91 1.59 .0274 1 0.91 1.51 .0275 1 0.91 1.63 .0276 2 0.91 1.60 .0277 1 0.91 1.61 .0278 1 0.91 1.71 .0279 1 0.91 1.69 .0280 1 0.91 1.65 .0281 1 0.91 1.77 .0282 1 0.91 1.72 .0283 1 0.91 1.65 .0284 1 0.91 1.62 .0285 1 0.91 1.68 .0286 1 0.91 1.71 .0287 1 0.91 1.78 .0288 1 0.91 1.82 .0289 1 0.91 1.87 .0290 1 0.91 1.80 .0291 1 0.91 1.69 .0292 1 0.91 1.82 .0293 1 0.91 1.96 .0294 1 0.91 1.89 .0295 1 0.91 1.89 .0296 1 0.91 1.78 .0297 1 0.91 1.93 .0298 1 0.91 1.89 .0299 1 0.91 1.85 .0300 1 0.91 2.03 .0301 1 0.91 2.02 .0302 1 0.91 2.05 .0303 1 0.91 1.95 .0304 1 0.91 1.98 .0305 1 0.91 1.84 .0306 1 0.91 2.11 .0307 1 0.91 1.97 .0308 1 0.91 2.05 .0309 1 0.91 2.08 .0310 1 0.91 2.17 .0311 2 0.91 2.04 .0312 1 0.91 2.02 .0313 1 0.91 2.04 .0314 1 0.91 2.12 .0315 1 0.91 2.09 .0316 1 0.91 2.11 .0317 1 0.91 2.23 .0318 1 0.91 2.16 .0319 1 0.91 2.28 .0320 1 0.91 2.30 .0321 1 0.91 2.22 .0322 1 0.91 2.16 .0323 1 0.91 2.25 .0324 1 0.91 2.30 .0325 1 0.91 2.17 .0326 1 0.91 2.37 .0327 1 0.91 2.33 .0328 1 0.91 2.34 .0329 1 0.91 2.15 .0330 1 0.91 2.38 .0331 1 0.91 2.27 .0332 1 0.91 2.38 .0333 1 0.91 2.37 .0334 1 0.91 2.40 .0335 1 0.91 2.43 .0336 1 0.91 2.44 .0337 1 0.91 2.48 .0338 1 0.91 2.41 .0339 1 0.91 2.42 .0340 1 0.91 2.55 .0341 1 0.91 2.55 .0342 1 0.91 2.53 .0343 1 0.91 2.60 .0344 1 0.91 2.48 .0345 1 0.91 2.66 .0346 1 0.91 2.51 .0347 1 0.91 2.57 .0348 1 0.91 2.63 .0349 2 0.91 2.68 .0350 2 0.91 2.69 .0351 1 0.91 2.78 .0352 1 0.91 2.73 .0353 1 0.91 2.79 .0354 3 0.91 2.81 .0355 2 0.91 3.18 .0356 3 0.91 2.87 .0357 2 0.91 3.18 .0358 1 0.91 2.88 .0359 1 0.91 3.23 .0360 2 0.91 2.80 .0361 1 0.91 2.77 .0362 1 0.91 2.88 .0363 1 0.91 2.98 .0364 1 0.91 2.89 .0365 1 0.91 2.77 .0366 1 0.91 2.79 .0367 1 0.91 2.89 .0368 1 0.91 3.01 .0369 1 0.91 2.95 .0370 1 0.91 2.93 .0371 1 0.91 2.93 .0372 1 0.91 3.02 .0373 1 0.91 2.91 .0374 1 0.91 2.97 .0375 1 0.91 2.98 .0376 1 0.91 3.12 .0377 1 0.91 2.94 .0378 1 0.91 3.14 .0379 1 0.91 3.05 .0380 1 0.91 3.00 .0381 1 0.91 3.05 .0382 1 0.91 3.14 .0383 1 0.91 3.18 .0384 1 0.91 3.11 .0385 1 0.91 3.02 .0386 1 0.91 3.19 .0387 1 0.91 3.16 .0388 1 0.91 3.14 .0389 1 0.91 3.18 .0390 1 0.91 3.10 .0391 1 0.91 3.35 .0392 1 0.91 3.32 .0393 1 0.91 3.25 .0394 1 0.91 3.25 .0395 1 0.91 3.26 .0396 1 0.91 3.26 .0397 1 0.91 3.28 .0398 1 0.91 3.36 .0399 1 0.91 3.23 .0400 1 0.91 3.47 .0401 1 0.91 3.33 .0402 1 0.91 3.25 .0403 1 0.91 3.24 .0404 1 0.91 3.37 .0405 1 0.91 3.49 .0406 1 0.91 3.42 .0407 1 0.91 3.18 .0408 1 0.91 3.46 .0409 1 0.91 3.26 .0410 1 0.91 3.41 .0411 1 0.91 3.34 .0412 1 0.91 3.44 .0413 3 0.91 3.36 .0414 1 0.91 3.40 .0415 1 0.91 3.42 .0416 1 0.91 3.85 .0417 1 0.91 3.46 .0418 1 0.91 3.42 .0419 1 0.91 3.39 .0420 1 0.91 3.46 .0421 1 0.91 3.62 .0422 1 0.91 3.45 .0423 1 0.91 3.62 .0424 1 0.91 3.58 .0425 1 0.91 3.47 .0426 1 0.91 3.63 .0427 1 0.91 3.50 .0428 1 0.91 3.43 .0429 1 0.91 3.42 .0430 1 0.91 3.58 .0431 1 0.91 3.61 .0432 1 0.91 3.50 .0433 1 0.91 3.79 .0434 1 0.91 3.59 .0435 1 0.91 3.65 .0436 1 0.91 3.78 .0437 1 0.91 3.54 .0438 1 0.91 3.76 .0439 1 0.91 3.71 .0440 1 0.91 3.89 .0441 2 0.91 4.07 .0442 1 0.91 3.66 .0443 1 0.91 3.93 .0444 1 0.91 3.84 .0445 1 0.91 3.58 .0446 1 0.91 3.61 .0447 1 0.91 3.71 .0448 1 0.91 3.60 .0449 1 0.91 3.77 .0450 1 0.91 3.67 .0451 2 0.91 3.64 .0452 1 0.91 3.95 .0453 1 0.91 3.68 .0454 1 0.91 3.73 .0455 1 0.91 3.74 .0456 1 0.91 3.67 .0457 1 0.91 3.72 .0458 1 0.91 3.86 .0459 1 0.91 3.76 .0460 1 0.91 3.60 .0461 1 0.91 4.00 .0462 1 0.91 3.67 .0463 1 0.91 3.74 .0464 1 0.91 3.77 .0465 1 0.91 3.75 .0466 1 0.91 3.67 .0467 1 0.91 3.91 .0468 1 0.91 3.97 .0469 1 0.91 3.79 .0470 1 0.91 3.97 .0471 1 0.91 3.96 .0472 1 0.91 3.94 .0473 1 0.91 3.93 .0474 1 0.91 3.98 .0475 1 0.91 3.88 .0476 1 0.91 3.88 .0477 1 0.91 4.02 .0478 1 0.91 4.38 .0479 1 0.91 4.04 .0480 1 0.91 3.81 .0481 1 0.91 3.86 .0482 1 0.91 3.99 .0483 1 0.91 3.79 .0484 1 0.91 3.90 .0485 1 0.91 4.02 .0486 1 0.91 3.93 .0487 1 0.91 3.78 .0488 1 0.91 3.80 .0489 1 0.91 3.95 .0490 1 0.91 3.87 .0491 1 0.91 3.84 .0492 1 0.91 3.78 .0493 1 0.91 3.69 .0494 1 0.91 3.89 .0495 1 0.91 3.69 .0496 1 0.91 3.57 .0497 1 0.91 3.91 .0498 1 0.91 3.89 .0499 1 0.91 3.61 .0500 1 0.91 3.63 .0501 1 0.91 3.72 .0502 1 0.91 3.75 .0503 1 0.91 3.68 .0504 1 0.91 3.62 .0505 1 0.91 3.61 .0506 1 0.91 3.65 .0507 1 0.91 3.85 .0508 1 0.91 3.76 .0509 1 0.91 3.76 .0510 1 0.91 3.68 .0511 1 0.91 3.89 .0512 1 0.91 3.73 .0513 1 0.91 3.66 .0514 1 0.91 3.80 .0515 1 0.91 3.93 .0516 2 0.91 3.87 .0517 1 0.91 3.72 .0518 1 0.91 3.73 .0519 1 0.91 3.63 .0520 1 0.91 3.75 .0521 1 0.91 3.64 .0522 1 0.91 3.65 .0523 1 0.91 3.85 .0524 1 0.91 3.82 .0525 1 0.91 4.05 .0526 1 0.91 3.55 .0527 1 0.91 3.81 .0528 1 0.91 3.90 .0529 1 0.91 3.84 .0530 1 0.91 3.65 .0531 1 0.91 3.60 .0532 1 0.91 3.70 .0533 1 0.91 3.55 .0534 1 0.91 3.54 .0535 1 0.91 3.60 .0536 1 0.91 3.69 .0537 1 0.91 3.68 .0538 1 0.91 3.75 .0539 1 0.91 3.60 .0540 1 0.91 3.75 .0541 1 0.91 3.67 .0542 1 0.91 3.70 .0543 2 0.91 3.68 .0544 1 0.91 3.49 .0545 1 0.91 3.75 .0546 1 0.91 3.84 .0547 1 0.91 3.57 .0548 1 0.91 3.63 .0549 1 0.91 3.82 .0550 2 0.91 3.62 .0551 1 0.91 3.63 .0552 1 0.91 3.75 .0553 1 0.91 3.77 .0554 1 0.91 3.82 .0555 1 0.91 3.80 .0556 1 0.91 3.60 .0557 1 0.91 3.61 .0558 1 0.91 3.61 .0559 1 0.91 3.73 .0560 1 0.91 3.56 .0561 1 0.91 3.62 .0562 1 0.91 3.67 .0563 1 0.91 3.79 .0564 1 0.91 3.53 .0565 2 0.91 3.77 .0566 2 0.91 4.14 .0567 1 0.91 3.52 .0568 1 0.91 3.62 .0569 1 0.91 3.53 .0570 1 0.91 3.54 .0571 1 0.91 3.48 .0572 1 0.91 3.71 .0573 1 0.91 3.55 .0574 1 0.91 3.52 .0575 1 0.91 3.37 .0576 1 0.91 3.65 .0577 1 0.91 3.60 .0578 1 0.91 3.54 .0579 1 0.91 3.53 .0580 1 0.91 3.67 .0581 1 0.91 3.56 .0582 1 0.91 3.42 .0583 1 0.91 3.43 .0584 1 0.91 3.42 .0585 1 0.91 3.52 .0586 1 0.91 3.34 .0587 1 0.91 3.47 .0588 1 0.91 3.48 .0589 1 0.91 3.35 .0590 1 0.91 3.43 .0591 1 0.91 3.32 .0592 1 0.91 3.27 .0593 1 0.91 3.39 .0594 1 0.91 3.35 .0595 1 0.91 3.61 .0596 1 0.91 3.49 .0597 1 0.91 3.26 .0598 1 0.91 3.26 .0599 1 0.91 3.22 .0600 1 0.91 3.34 .0601 1 0.91 3.39 .0602 1 0.91 3.35 .0603 1 0.91 3.32 .0604 1 0.91 3.41 .0605 1 0.91 3.32 .0606 1 0.91 3.25 .0607 1 0.91 3.58 .0608 1 0.91 3.29 .0609 1 0.91 3.31 .0610 1 0.91 3.44 .0611 1 0.91 3.22 .0612 1 0.91 3.22 .0613 1 0.91 3.34 .0614 1 0.91 3.31 .0615 1 0.91 3.21 .0616 1 0.91 3.40 .0617 1 0.91 3.31 .0618 1 0.91 3.15 .0619 1 0.91 3.23 .0620 1 0.91 3.25 .0621 1 0.91 3.37 .0622 1 0.91 3.13 .0623 1 0.91 3.28 .0624 1 0.91 3.18 .0625 1 0.91 3.34 .0626 1 0.91 3.33 .0627 1 0.91 3.29 .0628 1 0.91 3.24 .0629 1 0.91 3.05 .0630 1 0.91 3.16 .0631 1 0.91 3.15 .0632 1 0.92 3.11 .0633 1 0.92 3.32 .0634 1 0.92 3.26 .0635 1 0.92 3.16 .0636 1 0.92 3.19 .0637 1 0.92 3.31 .0638 1 0.92 3.22 .0639 1 0.92 3.36 .0640 1 0.92 3.14 .0641 1 0.92 3.24 .0642 1 0.92 2.97 .0643 1 0.92 3.04 .0644 1 0.92 3.13 .0645 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2.68 .2033 3 0.92 2.89 .2034 1 0.92 2.83 .2035 1 0.92 2.46 .2036 1 0.92 2.39 .2037 1 0.92 2.50 .2038 1 0.92 2.52 .2039 1 0.92 2.46 .2040 1 0.92 2.39 .2041 1 0.92 2.58 .2042 1 0.92 2.44 .2043 1 0.92 2.43 .2044 1 0.92 2.54 .2045 1 0.92 2.38 .2046 1 0.92 2.59 .2047 1 0.92 2.57 EXTRACT_IMAGE: b2: masked 129 pixels DOSCATTER: b2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b2: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b2: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.01 0.06 Step 14 of 2080 0.62 64 0.02 0.11 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.02 0.11 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.02 0.11 Step 34 of 2080 0.61 64 0.02 0.11 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.03 0.13 Step 46 of 2080 0.61 64 0.02 0.11 Step 50 of 2080 0.61 64 0.03 0.12 Step 54 of 2080 0.61 64 0.02 0.12 Step 58 of 2080 0.61 64 0.03 0.12 Step 62 of 2080 0.61 64 0.03 0.12 Step 66 of 2080 0.61 64 0.03 0.12 Step 70 of 2080 0.61 64 0.02 0.11 Step 74 of 2080 0.61 64 0.03 0.11 Step 78 of 2080 0.61 64 0.03 0.11 Step 82 of 2080 0.61 64 0.03 0.12 Step 86 of 2080 0.61 64 0.03 0.11 Step 90 of 2080 0.61 64 0.03 0.11 Step 94 of 2080 0.61 64 0.03 0.13 Step 98 of 2080 0.60 64 0.03 0.12 Step 102 of 2080 0.60 64 0.03 0.12 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.04 0.13 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.02 0.12 Step 126 of 2080 0.60 64 0.03 0.12 Step 130 of 2080 0.60 64 0.03 0.12 Step 134 of 2080 0.60 64 0.03 0.11 Step 138 of 2080 0.60 64 0.03 0.12 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.04 0.13 Step 150 of 2080 0.60 64 0.04 0.13 Step 154 of 2080 0.60 64 0.04 0.13 Step 158 of 2080 0.60 64 0.03 0.12 Step 162 of 2080 0.60 64 0.04 0.14 Step 166 of 2080 0.60 64 0.04 0.14 Step 170 of 2080 0.60 64 0.03 0.12 Step 174 of 2080 0.60 64 0.04 0.13 Step 178 of 2080 0.59 64 0.03 0.11 Step 182 of 2080 0.59 64 0.03 0.11 Step 186 of 2080 0.59 64 0.03 0.11 Step 190 of 2080 0.59 64 0.03 0.12 Step 194 of 2080 0.59 64 0.03 0.11 Step 198 of 2080 0.59 64 0.03 0.11 Step 202 of 2080 0.59 64 0.03 0.11 Step 206 of 2080 0.59 64 0.03 0.11 Step 210 of 2080 0.59 64 0.03 0.12 Step 214 of 2080 0.59 64 0.04 0.12 Step 218 of 2080 0.59 64 0.04 0.12 Step 222 of 2080 0.59 64 0.03 0.12 Step 226 of 2080 0.59 64 0.03 0.12 Step 230 of 2080 0.59 64 0.04 0.12 Step 234 of 2080 0.59 64 0.03 0.12 Step 238 of 2080 0.59 64 0.04 0.12 Step 242 of 2080 0.59 64 0.04 0.11 Step 246 of 2080 0.59 64 0.04 0.12 Step 250 of 2080 0.59 64 0.04 0.11 Step 254 of 2080 0.59 64 0.04 0.12 Step 258 of 2080 0.58 64 0.04 0.12 Step 262 of 2080 0.58 64 0.04 0.12 Step 266 of 2080 0.58 64 0.04 0.12 Step 270 of 2080 0.58 64 0.04 0.13 Step 274 of 2080 0.58 64 0.03 0.11 Step 278 of 2080 0.58 64 0.04 0.12 Step 282 of 2080 0.58 64 0.04 0.12 Step 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0.03 0.12 Step 402 of 2080 0.57 64 0.03 0.13 Step 406 of 2080 0.57 64 0.03 0.11 Step 410 of 2080 0.57 64 0.02 0.11 Step 414 of 2080 0.57 64 0.03 0.11 Step 418 of 2080 0.56 64 0.03 0.12 Step 422 of 2080 0.56 64 0.03 0.12 Step 426 of 2080 0.56 64 0.03 0.11 Step 430 of 2080 0.56 64 0.03 0.11 Step 434 of 2080 0.56 64 0.03 0.11 Step 438 of 2080 0.56 64 0.03 0.11 Step 442 of 2080 0.56 64 0.03 0.11 Step 446 of 2080 0.56 64 0.03 0.11 Step 450 of 2080 0.56 64 0.03 0.11 Step 454 of 2080 0.56 64 0.03 0.11 Step 458 of 2080 0.56 64 0.03 0.11 Step 462 of 2080 0.56 64 0.03 0.11 Step 466 of 2080 0.56 64 0.03 0.11 Step 470 of 2080 0.56 64 0.03 0.11 Step 474 of 2080 0.56 64 0.03 0.11 Step 478 of 2080 0.56 64 0.03 0.11 Step 482 of 2080 0.56 64 0.03 0.11 Step 486 of 2080 0.56 64 0.03 0.11 Step 490 of 2080 0.56 64 0.03 0.11 Step 494 of 2080 0.56 64 0.03 0.12 Step 498 of 2080 0.56 64 0.02 0.11 Step 502 of 2080 0.55 64 0.02 0.10 Step 506 of 2080 0.55 64 0.02 0.11 Step 510 of 2080 0.55 64 0.02 0.12 Step 514 of 2080 0.55 64 0.02 0.11 Step 518 of 2080 0.55 64 0.02 0.11 Step 522 of 2080 0.55 64 0.02 0.12 Step 526 of 2080 0.55 64 0.03 0.11 Step 530 of 2080 0.55 64 0.02 0.11 Step 534 of 2080 0.55 64 0.02 0.11 Step 538 of 2080 0.55 64 0.03 0.12 Step 542 of 2080 0.55 64 0.03 0.12 Step 546 of 2080 0.55 64 0.02 0.11 Step 550 of 2080 0.55 64 0.02 0.12 Step 554 of 2080 0.55 64 0.03 0.12 Step 558 of 2080 0.55 64 0.03 0.12 Step 562 of 2080 0.55 64 0.03 0.12 Step 566 of 2080 0.55 64 0.03 0.12 Step 570 of 2080 0.55 64 0.03 0.11 Step 574 of 2080 0.55 64 0.03 0.12 Step 578 of 2080 0.55 64 0.03 0.12 Step 582 of 2080 0.54 64 0.03 0.12 Step 586 of 2080 0.54 64 0.03 0.12 Step 590 of 2080 0.54 64 0.03 0.12 Step 594 of 2080 0.54 64 0.03 0.12 Step 598 of 2080 0.54 64 0.03 0.12 Step 602 of 2080 0.54 64 0.03 0.11 Step 606 of 2080 0.54 64 0.03 0.12 Step 610 of 2080 0.54 64 0.03 0.13 Step 614 of 2080 0.54 64 0.03 0.12 Step 618 of 2080 0.54 64 0.03 0.12 Step 622 of 2080 0.54 64 0.03 0.12 Step 626 of 2080 0.54 64 0.03 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0.12 Step 1750 of 2080 0.41 64 0.03 0.12 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.11 Step 1762 of 2080 0.41 64 0.03 0.11 Step 1766 of 2080 0.41 64 0.03 0.11 Step 1770 of 2080 0.41 64 0.03 0.12 Step 1774 of 2080 0.41 64 0.03 0.11 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.11 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.11 Step 1798 of 2080 0.41 64 0.03 0.11 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.41 64 0.04 0.13 Step 1810 of 2080 0.41 64 0.04 0.12 Step 1814 of 2080 0.40 64 0.04 0.13 Step 1818 of 2080 0.40 64 0.04 0.12 Step 1822 of 2080 0.40 64 0.04 0.13 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.03 0.12 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.13 Step 1846 of 2080 0.40 64 0.04 0.12 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.04 0.13 Step 1858 of 2080 0.40 64 0.04 0.12 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.04 0.12 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.04 0.12 Step 1878 of 2080 0.40 64 0.04 0.12 Step 1882 of 2080 0.40 64 0.04 0.12 Step 1886 of 2080 0.40 64 0.03 0.12 Step 1890 of 2080 0.40 64 0.04 0.12 Step 1894 of 2080 0.40 64 0.04 0.13 Step 1898 of 2080 0.40 64 0.04 0.12 Step 1902 of 2080 0.40 64 0.04 0.12 Step 1906 of 2080 0.40 64 0.03 0.13 Step 1910 of 2080 0.39 64 0.03 0.13 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.11 Step 1922 of 2080 0.39 64 0.03 0.11 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.04 0.12 Step 1934 of 2080 0.39 64 0.04 0.12 Step 1938 of 2080 0.39 64 0.03 0.12 Step 1942 of 2080 0.39 64 0.04 0.13 Step 1946 of 2080 0.39 64 0.03 0.11 Step 1950 of 2080 0.39 64 0.04 0.12 Step 1954 of 2080 0.39 64 0.04 0.12 Step 1958 of 2080 0.39 64 0.04 0.12 Step 1962 of 2080 0.39 64 0.04 0.14 Step 1966 of 2080 0.39 64 0.04 0.13 Step 1970 of 2080 0.39 64 0.03 0.13 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.04 0.13 Step 1982 of 2080 0.39 64 0.03 0.13 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.04 0.12 Step 2002 of 2080 0.39 64 0.03 0.13 Step 2006 of 2080 0.39 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.13 Step 2014 of 2080 0.38 64 0.03 0.13 Step 2018 of 2080 0.38 64 0.04 0.13 Step 2022 of 2080 0.38 64 0.04 0.13 Step 2026 of 2080 0.38 64 0.04 0.14 Step 2030 of 2080 0.38 64 0.04 0.16 Step 2034 of 2080 0.38 64 0.03 0.14 Step 2038 of 2080 0.38 64 0.04 0.14 Step 2042 of 2080 0.38 64 0.04 0.14 Step 2046 of 2080 0.38 64 0.04 0.14 Step 2050 of 2080 0.38 64 0.04 0.13 Step 2054 of 2080 0.38 64 0.04 0.13 Step 2058 of 2080 0.38 64 0.04 0.13 Step 2062 of 2080 0.38 64 0.03 0.13 Step 2066 of 2080 0.38 64 0.03 0.13 Step 2070 of 2080 0.38 64 0.04 0.13 Step 2074 of 2080 0.38 64 0.03 0.13 Step 2078 of 2080 0.38 64 0.03 0.12 ROW NITER SIG(med) CHI^2 .0000 1 0.90 1.25 .0001 1 0.90 1.28 .0002 1 0.90 1.26 .0003 1 0.90 1.38 .0004 1 0.90 1.33 .0005 1 0.90 1.46 .0006 1 0.90 1.30 .0007 1 0.90 1.21 .0008 2 0.90 1.36 .0009 1 0.90 1.38 .0010 1 0.90 1.29 .0011 1 0.90 1.25 .0012 1 0.90 1.22 .0013 1 0.90 1.20 .0014 1 0.90 1.28 .0015 1 0.90 1.23 .0016 1 0.90 1.33 .0017 1 0.90 1.21 .0018 1 0.90 1.23 .0019 1 0.90 1.23 .0020 1 0.90 1.13 .0021 1 0.90 1.21 .0022 1 0.90 1.22 .0023 1 0.90 1.11 .0024 1 0.90 1.17 .0025 1 0.90 1.16 .0026 1 0.90 1.21 .0027 1 0.90 1.15 .0028 1 0.90 1.18 .0029 1 0.90 1.03 .0030 1 0.90 1.15 .0031 1 0.91 1.19 .0032 1 0.91 1.15 .0033 1 0.91 1.12 .0034 1 0.91 1.18 .0035 1 0.91 1.24 .0036 2 0.91 1.13 .0037 1 0.91 1.17 .0038 1 0.91 1.09 .0039 1 0.91 1.17 .0040 1 0.91 1.11 .0041 1 0.91 1.07 .0042 1 0.91 1.12 .0043 1 0.91 1.08 .0044 1 0.91 1.17 .0045 1 0.91 1.21 .0046 1 0.91 1.13 .0047 1 0.91 1.18 .0048 1 0.91 1.16 .0049 1 0.91 1.13 .0050 1 0.91 1.15 .0051 1 0.91 1.13 .0052 1 0.91 1.14 .0053 1 0.91 1.03 .0054 1 0.91 1.11 .0055 1 0.91 1.06 .0056 1 0.91 1.12 .0057 1 0.91 1.06 .0058 1 0.91 1.08 .0059 1 0.91 1.04 .0060 1 0.91 1.08 .0061 1 0.91 1.10 .0062 1 0.91 1.19 .0063 1 0.91 1.05 .0064 1 0.91 1.12 .0065 1 0.91 1.16 .0066 1 0.91 1.07 .0067 1 0.91 1.09 .0068 1 0.91 1.09 .0069 1 0.91 1.07 .0070 1 0.91 1.04 .0071 1 0.91 1.06 .0072 1 0.91 1.08 .0073 1 0.91 1.08 .0074 1 0.91 1.05 .0075 1 0.91 1.12 .0076 1 0.91 1.11 .0077 1 0.91 1.01 .0078 1 0.91 1.19 .0079 1 0.91 1.09 .0080 1 0.91 1.10 .0081 1 0.91 1.24 .0082 1 0.91 1.09 .0083 1 0.91 1.12 .0084 3 0.91 1.10 .0085 1 0.91 1.18 .0086 1 0.91 1.15 .0087 1 0.91 1.21 .0088 1 0.91 1.21 .0089 1 0.91 1.17 .0090 1 0.91 1.16 .0091 1 0.91 1.24 .0092 1 0.91 1.17 .0093 1 0.90 1.17 .0094 1 0.90 1.22 .0095 1 0.90 1.20 .0096 1 0.90 1.24 .0097 1 0.90 1.17 .0098 1 0.90 1.28 .0099 3 0.90 1.27 .0100 1 0.90 1.26 .0101 1 0.90 1.21 .0102 1 0.90 1.33 .0103 1 0.90 1.19 .0104 1 0.90 1.28 .0105 1 0.90 1.29 .0106 1 0.90 1.24 .0107 1 0.90 1.28 .0108 1 0.90 1.21 .0109 1 0.90 1.38 .0110 1 0.90 1.25 .0111 1 0.90 1.34 .0112 1 0.90 1.35 .0113 1 0.90 1.32 .0114 1 0.90 1.18 .0115 1 0.90 1.35 .0116 1 0.90 1.31 .0117 1 0.90 1.34 .0118 1 0.90 1.39 .0119 1 0.90 1.31 .0120 1 0.90 1.34 .0121 1 0.91 1.37 .0122 1 0.91 1.34 .0123 1 0.91 1.29 .0124 1 0.91 1.33 .0125 1 0.91 1.29 .0126 1 0.91 1.37 .0127 1 0.91 1.39 .0128 1 0.91 1.42 .0129 1 0.91 1.37 .0130 1 0.91 1.34 .0131 1 0.91 1.29 .0132 1 0.91 1.31 .0133 1 0.91 1.32 .0134 1 0.91 1.31 .0135 1 0.91 1.25 .0136 1 0.91 1.37 .0137 1 0.91 1.27 .0138 1 0.91 1.26 .0139 1 0.91 1.37 .0140 1 0.91 1.32 .0141 1 0.91 1.34 .0142 1 0.91 1.23 .0143 1 0.91 1.39 .0144 1 0.91 1.25 .0145 2 0.91 1.37 .0146 1 0.91 1.33 .0147 2 0.91 1.38 .0148 2 0.91 1.36 .0149 1 0.91 1.46 .0150 1 0.91 1.36 .0151 1 0.91 1.31 .0152 1 0.91 1.61 .0153 1 0.91 1.36 .0154 1 0.91 1.33 .0155 1 0.91 1.35 .0156 1 0.91 1.28 .0157 1 0.91 1.24 .0158 1 0.91 1.32 .0159 1 0.91 1.32 .0160 1 0.91 1.35 .0161 1 0.91 1.32 .0162 1 0.91 1.33 .0163 1 0.91 1.44 .0164 1 0.91 1.39 .0165 1 0.91 1.36 .0166 1 0.91 1.30 .0167 1 0.91 1.24 .0168 1 0.91 1.24 .0169 1 0.91 1.37 .0170 1 0.91 1.29 .0171 1 0.91 1.30 .0172 2 0.91 1.35 .0173 1 0.91 1.34 .0174 1 0.91 1.33 .0175 1 0.91 1.34 .0176 1 0.91 1.29 .0177 1 0.91 1.28 .0178 1 0.91 1.30 .0179 1 0.91 1.35 .0180 1 0.91 1.35 .0181 1 0.91 1.40 .0182 1 0.91 1.31 .0183 1 0.91 1.33 .0184 2 0.91 1.46 .0185 1 0.91 1.36 .0186 1 0.91 1.28 .0187 1 0.91 1.29 .0188 1 0.91 1.31 .0189 1 0.91 1.30 .0190 1 0.91 1.37 .0191 1 0.91 1.44 .0192 1 0.91 1.32 .0193 1 0.91 1.37 .0194 1 0.91 1.37 .0195 1 0.91 1.33 .0196 1 0.91 1.38 .0197 1 0.91 1.39 .0198 1 0.91 1.37 .0199 1 0.91 1.38 .0200 1 0.91 1.36 .0201 1 0.91 1.37 .0202 1 0.91 1.27 .0203 1 0.91 1.35 .0204 1 0.91 1.43 .0205 1 0.91 1.43 .0206 1 0.91 1.37 .0207 1 0.91 1.39 .0208 1 0.91 1.41 .0209 1 0.91 1.42 .0210 1 0.91 1.41 .0211 1 0.91 1.32 .0212 1 0.91 1.33 .0213 1 0.91 1.35 .0214 1 0.91 1.42 .0215 1 0.91 1.36 .0216 1 0.91 1.47 .0217 1 0.91 1.36 .0218 1 0.91 1.40 .0219 1 0.91 1.36 .0220 1 0.91 1.39 .0221 1 0.91 1.39 .0222 1 0.91 1.45 .0223 2 0.91 1.30 .0224 1 0.91 1.35 .0225 2 0.91 1.45 .0226 2 0.91 1.69 .0227 1 0.91 1.37 .0228 1 0.91 1.42 .0229 1 0.91 1.43 .0230 1 0.91 1.30 .0231 1 0.91 1.33 .0232 1 0.91 1.45 .0233 1 0.91 1.39 .0234 1 0.91 1.47 .0235 1 0.91 1.38 .0236 1 0.91 1.43 .0237 1 0.91 1.35 .0238 1 0.91 1.47 .0239 1 0.91 1.36 .0240 1 0.91 1.47 .0241 1 0.91 1.45 .0242 1 0.91 1.27 .0243 1 0.91 1.39 .0244 1 0.91 1.45 .0245 1 0.91 1.35 .0246 1 0.91 1.33 .0247 1 0.91 1.48 .0248 1 0.91 1.38 .0249 1 0.91 1.44 .0250 1 0.91 1.52 .0251 1 0.91 1.48 .0252 1 0.91 1.50 .0253 1 0.91 1.44 .0254 1 0.91 1.38 .0255 1 0.91 1.49 .0256 3 0.91 1.58 .0257 3 0.91 1.45 .0258 2 0.91 1.50 .0259 1 0.91 1.46 .0260 1 0.91 1.47 .0261 1 0.91 1.40 .0262 1 0.91 1.47 .0263 1 0.91 1.51 .0264 1 0.91 1.55 .0265 1 0.91 1.51 .0266 1 0.91 1.43 .0267 1 0.91 1.52 .0268 1 0.91 1.41 .0269 1 0.91 1.57 .0270 1 0.91 1.52 .0271 1 0.91 1.48 .0272 1 0.91 1.68 .0273 1 0.91 1.51 .0274 1 0.91 1.42 .0275 1 0.91 1.54 .0276 2 0.91 1.50 .0277 1 0.91 1.51 .0278 1 0.91 1.61 .0279 1 0.91 1.60 .0280 1 0.91 1.57 .0281 1 0.91 1.67 .0282 1 0.91 1.61 .0283 1 0.91 1.57 .0284 1 0.91 1.51 .0285 1 0.91 1.59 .0286 1 0.91 1.60 .0287 1 0.91 1.67 .0288 1 0.91 1.70 .0289 1 0.91 1.77 .0290 1 0.91 1.68 .0291 1 0.91 1.60 .0292 1 0.91 1.71 .0293 1 0.91 1.83 .0294 1 0.91 1.78 .0295 1 0.91 1.78 .0296 1 0.91 1.69 .0297 1 0.91 1.81 .0298 1 0.91 1.79 .0299 1 0.91 1.74 .0300 1 0.91 1.90 .0301 1 0.91 1.89 .0302 1 0.91 1.94 .0303 1 0.91 1.83 .0304 1 0.91 1.85 .0305 1 0.91 1.74 .0306 1 0.91 1.98 .0307 1 0.91 1.86 .0308 1 0.91 1.93 .0309 1 0.91 1.95 .0310 1 0.91 2.04 .0311 2 0.91 1.94 .0312 1 0.91 1.89 .0313 1 0.91 1.92 .0314 1 0.91 2.00 .0315 1 0.91 1.97 .0316 1 0.91 1.98 .0317 1 0.91 2.10 .0318 1 0.91 2.04 .0319 1 0.91 2.15 .0320 1 0.91 2.16 .0321 1 0.91 2.08 .0322 1 0.91 2.06 .0323 1 0.91 2.11 .0324 1 0.91 2.16 .0325 1 0.91 2.07 .0326 1 0.91 2.23 .0327 1 0.91 2.18 .0328 1 0.91 2.19 .0329 1 0.91 2.01 .0330 1 0.91 2.27 .0331 1 0.91 2.14 .0332 1 0.91 2.26 .0333 1 0.91 2.23 .0334 1 0.91 2.26 .0335 1 0.91 2.29 .0336 1 0.91 2.28 .0337 1 0.91 2.32 .0338 1 0.91 2.23 .0339 1 0.91 2.26 .0340 1 0.91 2.41 .0341 1 0.91 2.40 .0342 1 0.91 2.36 .0343 1 0.91 2.44 .0344 1 0.91 2.33 .0345 1 0.91 2.49 .0346 1 0.91 2.37 .0347 1 0.91 2.42 .0348 1 0.91 2.49 .0349 2 0.91 2.52 .0350 2 0.91 2.54 .0351 1 0.91 2.60 .0352 1 0.91 2.58 .0353 1 0.91 2.63 .0354 3 0.91 2.62 .0355 2 0.91 3.00 .0356 3 0.91 2.66 .0357 2 0.91 3.00 .0358 1 0.91 2.67 .0359 1 0.91 3.09 .0360 2 0.91 2.61 .0361 1 0.91 2.62 .0362 1 0.91 2.70 .0363 1 0.91 2.77 .0364 1 0.91 2.71 .0365 1 0.91 2.59 .0366 1 0.91 2.60 .0367 1 0.91 2.70 .0368 1 0.91 2.80 .0369 1 0.91 2.71 .0370 1 0.91 2.74 .0371 1 0.91 2.74 .0372 1 0.91 2.80 .0373 1 0.91 2.72 .0374 1 0.91 2.79 .0375 1 0.91 2.77 .0376 1 0.91 2.90 .0377 1 0.91 2.71 .0378 1 0.91 2.92 .0379 1 0.91 2.83 .0380 1 0.91 2.82 .0381 1 0.91 2.80 .0382 1 0.91 2.92 .0383 1 0.91 2.94 .0384 1 0.91 2.85 .0385 1 0.91 2.82 .0386 1 0.91 2.98 .0387 1 0.91 2.97 .0388 1 0.91 2.91 .0389 1 0.91 2.95 .0390 1 0.91 2.90 .0391 1 0.91 3.14 .0392 1 0.91 3.07 .0393 1 0.91 3.07 .0394 1 0.91 3.04 .0395 1 0.91 3.01 .0396 1 0.91 3.07 .0397 1 0.91 3.00 .0398 1 0.91 3.14 .0399 1 0.91 3.01 .0400 1 0.91 3.24 .0401 1 0.91 3.12 .0402 1 0.91 3.03 .0403 1 0.91 2.98 .0404 1 0.91 3.12 .0405 1 0.91 3.22 .0406 1 0.91 3.14 .0407 1 0.91 2.97 .0408 1 0.91 3.21 .0409 1 0.91 3.04 .0410 1 0.91 3.14 .0411 1 0.91 3.04 .0412 1 0.91 3.20 .0413 3 0.91 3.11 .0414 1 0.91 3.17 .0415 1 0.91 3.14 .0416 1 0.91 3.58 .0417 1 0.91 3.17 .0418 1 0.91 3.16 .0419 1 0.91 3.16 .0420 1 0.91 3.20 .0421 1 0.91 3.34 .0422 1 0.91 3.20 .0423 1 0.91 3.34 .0424 1 0.91 3.34 .0425 1 0.91 3.23 .0426 1 0.91 3.40 .0427 1 0.91 3.28 .0428 1 0.91 3.16 .0429 1 0.91 3.12 .0430 1 0.91 3.35 .0431 1 0.91 3.32 .0432 1 0.91 3.23 .0433 1 0.91 3.51 .0434 1 0.91 3.32 .0435 1 0.91 3.37 .0436 1 0.91 3.52 .0437 1 0.91 3.27 .0438 1 0.91 3.48 .0439 1 0.91 3.40 .0440 1 0.91 3.56 .0441 2 0.91 3.76 .0442 1 0.91 3.42 .0443 1 0.91 3.64 .0444 1 0.91 3.55 .0445 1 0.91 3.31 .0446 1 0.91 3.36 .0447 1 0.91 3.39 .0448 1 0.91 3.33 .0449 1 0.91 3.50 .0450 1 0.91 3.37 .0451 2 0.91 3.35 .0452 1 0.91 3.64 .0453 1 0.91 3.38 .0454 1 0.91 3.43 .0455 1 0.91 3.45 .0456 1 0.91 3.35 .0457 1 0.91 3.41 .0458 1 0.91 3.53 .0459 1 0.91 3.43 .0460 1 0.91 3.28 .0461 1 0.91 3.71 .0462 1 0.91 3.33 .0463 1 0.91 3.38 .0464 1 0.91 3.43 .0465 1 0.91 3.45 .0466 1 0.91 3.40 .0467 1 0.91 3.58 .0468 1 0.91 3.64 .0469 1 0.91 3.49 .0470 1 0.91 3.58 .0471 1 0.91 3.63 .0472 1 0.91 3.57 .0473 1 0.91 3.62 .0474 1 0.91 3.65 .0475 1 0.91 3.55 .0476 1 0.91 3.58 .0477 1 0.91 3.67 .0478 1 0.91 4.08 .0479 1 0.91 3.63 .0480 1 0.91 3.49 .0481 1 0.91 3.53 .0482 1 0.91 3.64 .0483 1 0.91 3.46 .0484 1 0.91 3.56 .0485 1 0.91 3.71 .0486 1 0.91 3.59 .0487 1 0.91 3.44 .0488 1 0.91 3.51 .0489 1 0.91 3.55 .0490 1 0.91 3.53 .0491 1 0.91 3.50 .0492 1 0.91 3.43 .0493 1 0.91 3.38 .0494 1 0.91 3.52 .0495 1 0.91 3.34 .0496 1 0.91 3.23 .0497 1 0.91 3.56 .0498 1 0.91 3.53 .0499 1 0.91 3.30 .0500 1 0.91 3.29 .0501 1 0.91 3.36 .0502 1 0.91 3.44 .0503 1 0.91 3.34 .0504 1 0.91 3.30 .0505 1 0.91 3.29 .0506 1 0.91 3.33 .0507 1 0.91 3.47 .0508 1 0.91 3.44 .0509 1 0.91 3.45 .0510 1 0.91 3.31 .0511 1 0.91 3.49 .0512 1 0.91 3.33 .0513 1 0.91 3.28 .0514 1 0.91 3.43 .0515 1 0.91 3.58 .0516 2 0.91 3.48 .0517 1 0.91 3.38 .0518 1 0.91 3.32 .0519 1 0.91 3.31 .0520 1 0.91 3.38 .0521 1 0.91 3.28 .0522 1 0.91 3.27 .0523 1 0.91 3.42 .0524 1 0.91 3.42 .0525 1 0.91 3.61 .0526 1 0.91 3.20 .0527 1 0.91 3.41 .0528 1 0.91 3.46 .0529 1 0.91 3.47 .0530 1 0.91 3.32 .0531 1 0.91 3.27 .0532 1 0.91 3.34 .0533 1 0.91 3.20 .0534 1 0.91 3.16 .0535 1 0.91 3.24 .0536 1 0.91 3.33 .0537 1 0.91 3.31 .0538 1 0.91 3.39 .0539 1 0.91 3.21 .0540 1 0.91 3.42 .0541 1 0.91 3.30 .0542 1 0.91 3.29 .0543 2 0.91 3.29 .0544 1 0.91 3.14 .0545 1 0.91 3.37 .0546 1 0.91 3.47 .0547 1 0.91 3.20 .0548 1 0.91 3.25 .0549 1 0.91 3.40 .0550 2 0.91 3.25 .0551 1 0.91 3.28 .0552 1 0.91 3.34 .0553 1 0.91 3.40 .0554 1 0.91 3.46 .0555 1 0.91 3.38 .0556 1 0.91 3.21 .0557 1 0.91 3.28 .0558 1 0.91 3.26 .0559 1 0.91 3.33 .0560 1 0.91 3.19 .0561 1 0.91 3.29 .0562 1 0.91 3.31 .0563 1 0.91 3.40 .0564 1 0.91 3.16 .0565 2 0.91 3.34 .0566 2 0.91 3.72 .0567 1 0.91 3.09 .0568 1 0.91 3.27 .0569 1 0.91 3.15 .0570 1 0.91 3.15 .0571 1 0.91 3.14 .0572 1 0.91 3.29 .0573 1 0.91 3.18 .0574 1 0.91 3.09 .0575 1 0.91 3.01 .0576 1 0.91 3.29 .0577 1 0.91 3.18 .0578 1 0.91 3.19 .0579 1 0.91 3.14 .0580 1 0.91 3.30 .0581 1 0.91 3.20 .0582 1 0.91 3.05 .0583 1 0.91 3.08 .0584 1 0.91 3.06 .0585 1 0.91 3.14 .0586 1 0.91 3.01 .0587 1 0.91 3.12 .0588 1 0.91 3.12 .0589 1 0.91 3.00 .0590 1 0.91 3.08 .0591 1 0.91 2.99 .0592 1 0.91 2.88 .0593 1 0.91 3.00 .0594 1 0.91 3.01 .0595 1 0.91 3.22 .0596 1 0.91 3.15 .0597 1 0.91 2.89 .0598 1 0.91 2.87 .0599 1 0.91 2.83 .0600 1 0.91 2.99 .0601 1 0.91 3.03 .0602 1 0.91 3.02 .0603 1 0.91 2.95 .0604 1 0.91 3.05 .0605 1 0.91 2.94 .0606 1 0.91 2.85 .0607 1 0.91 3.23 .0608 1 0.91 2.96 .0609 1 0.91 2.93 .0610 1 0.91 3.07 .0611 1 0.91 2.84 .0612 1 0.91 2.86 .0613 1 0.91 3.01 .0614 1 0.91 2.96 .0615 1 0.91 2.84 .0616 1 0.91 2.96 .0617 1 0.91 2.88 .0618 1 0.91 2.81 .0619 1 0.91 2.90 .0620 1 0.91 2.89 .0621 1 0.91 3.01 .0622 1 0.91 2.80 .0623 1 0.91 2.91 .0624 1 0.91 2.79 .0625 1 0.91 2.93 .0626 1 0.91 2.93 .0627 1 0.91 2.95 .0628 1 0.91 2.82 .0629 1 0.91 2.68 .0630 1 0.91 2.79 .0631 1 0.91 2.78 .0632 1 0.92 2.80 .0633 1 0.92 2.87 .0634 1 0.92 2.89 .0635 1 0.92 2.76 .0636 1 0.92 2.79 .0637 1 0.92 2.89 .0638 1 0.92 2.88 .0639 1 0.92 2.93 .0640 1 0.92 2.75 .0641 1 0.92 2.93 .0642 1 0.92 2.64 .0643 1 0.92 2.67 .0644 1 0.92 2.77 .0645 1 0.92 2.79 .0646 1 0.92 2.79 .0647 1 0.92 2.73 .0648 1 0.92 2.69 .0649 1 0.92 2.78 .0650 1 0.92 2.79 .0651 1 0.92 2.71 .0652 1 0.92 2.68 .0653 1 0.92 3.33 .0654 2 0.92 3.02 .0655 1 0.92 3.07 .0656 1 0.92 2.84 .0657 1 0.92 2.79 .0658 1 0.92 2.74 .0659 1 0.92 2.64 .0660 1 0.92 2.73 .0661 1 0.92 2.90 .0662 1 0.92 2.87 .0663 1 0.92 2.99 .0664 2 0.92 2.89 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.1886 1 0.91 3.43 .1887 1 0.91 3.33 .1888 1 0.91 3.14 .1889 1 0.91 3.23 .1890 1 0.91 3.37 .1891 1 0.91 3.21 .1892 1 0.91 3.43 .1893 1 0.91 3.16 .1894 1 0.91 3.44 .1895 1 0.91 3.25 .1896 1 0.91 3.25 .1897 1 0.91 3.33 .1898 1 0.91 3.09 .1899 1 0.91 3.49 .1900 2 0.91 3.59 .1901 1 0.91 3.19 .1902 1 0.91 3.27 .1903 1 0.91 3.20 .1904 1 0.91 3.19 .1905 1 0.91 3.05 .1906 1 0.91 3.18 .1907 1 0.91 3.32 .1908 1 0.91 3.29 .1909 1 0.91 3.20 .1910 1 0.91 3.27 .1911 1 0.91 3.14 .1912 1 0.91 3.24 .1913 1 0.91 3.07 .1914 1 0.91 2.98 .1915 1 0.91 3.12 .1916 1 0.91 3.26 .1917 3 0.91 3.33 .1918 1 0.91 3.39 .1919 1 0.91 2.97 .1920 1 0.91 3.12 .1921 1 0.91 3.08 .1922 1 0.91 3.30 .1923 1 0.91 3.00 .1924 1 0.91 3.01 .1925 1 0.91 3.07 .1926 1 0.91 3.04 .1927 1 0.91 2.89 .1928 1 0.91 2.95 .1929 1 0.91 3.06 .1930 1 0.91 3.12 .1931 1 0.91 3.02 .1932 1 0.91 2.96 .1933 2 0.91 3.03 .1934 1 0.91 3.03 .1935 1 0.91 3.08 .1936 1 0.91 2.94 .1937 1 0.91 3.08 .1938 1 0.91 3.02 .1939 1 0.91 3.00 .1940 1 0.91 2.95 .1941 1 0.91 2.98 .1942 1 0.91 2.94 .1943 1 0.91 3.04 .1944 1 0.91 2.90 .1945 1 0.91 2.92 .1946 1 0.91 2.88 .1947 1 0.91 3.14 .1948 1 0.91 2.95 .1949 1 0.91 2.98 .1950 1 0.91 2.88 .1951 1 0.91 3.08 .1952 1 0.91 2.81 .1953 1 0.91 2.77 .1954 1 0.91 2.93 .1955 1 0.91 2.90 .1956 1 0.91 3.02 .1957 1 0.91 2.95 .1958 1 0.91 2.95 .1959 1 0.91 2.80 .1960 1 0.91 2.82 .1961 1 0.91 2.90 .1962 1 0.91 2.94 .1963 1 0.91 2.71 .1964 1 0.91 2.84 .1965 2 0.91 2.87 .1966 1 0.91 2.81 .1967 1 0.91 2.97 .1968 1 0.91 3.25 .1969 2 0.91 2.90 .1970 1 0.91 2.92 .1971 1 0.91 3.05 .1972 1 0.91 2.82 .1973 1 0.91 2.73 .1974 1 0.91 2.78 .1975 1 0.91 2.74 .1976 1 0.91 2.81 .1977 1 0.91 2.73 .1978 1 0.91 2.87 .1979 1 0.91 3.21 .1980 1 0.92 2.57 .1981 1 0.92 2.56 .1982 1 0.92 2.62 .1983 1 0.92 2.65 .1984 2 0.92 2.65 .1985 2 0.92 2.72 .1986 1 0.92 2.76 .1987 1 0.92 2.65 .1988 1 0.92 2.47 .1989 1 0.92 2.78 .1990 1 0.92 2.65 .1991 1 0.92 2.55 .1992 3 0.92 2.63 .1993 3 0.92 2.75 .1994 1 0.92 2.56 .1995 1 0.92 2.70 .1996 2 0.92 2.62 .1997 1 0.92 2.69 .1998 1 0.92 2.44 .1999 1 0.92 2.41 .2000 1 0.92 2.60 .2001 1 0.92 2.41 .2002 1 0.92 2.63 .2003 1 0.92 2.53 .2004 1 0.92 2.72 .2005 1 0.92 2.46 .2006 1 0.92 2.55 .2007 1 0.92 2.42 .2008 2 0.92 2.52 .2009 1 0.92 2.77 .2010 1 0.92 2.57 .2011 1 0.92 2.71 .2012 1 0.92 2.48 .2013 1 0.92 2.29 .2014 1 0.92 2.50 .2015 1 0.92 2.46 .2016 1 0.92 2.49 .2017 1 0.92 2.40 .2018 2 0.92 2.52 .2019 1 0.92 2.40 .2020 1 0.92 2.44 .2021 1 0.92 2.48 .2022 1 0.92 2.59 .2023 1 0.92 2.30 .2024 1 0.92 2.25 .2025 1 0.92 2.32 .2026 1 0.92 2.20 .2027 1 0.92 2.46 .2028 1 0.92 2.47 .2029 1 0.92 2.41 .2030 3 0.92 2.37 .2031 2 0.92 2.50 .2032 1 0.92 2.45 .2033 4 0.92 2.38 .2034 1 0.92 2.64 .2035 1 0.92 2.23 .2036 1 0.92 2.17 .2037 1 0.92 2.27 .2038 1 0.92 2.29 .2039 1 0.92 2.23 .2040 1 0.92 2.15 .2041 1 0.92 2.32 .2042 1 0.92 2.19 .2043 1 0.92 2.21 .2044 1 0.92 2.29 .2045 1 0.92 2.21 .2046 1 0.92 2.35 .2047 1 0.92 2.34 EXTRACT_IMAGE: b2: masked 142 pixels SPCALIB: b2: First extraction chi^2 0.993526 4.87086 SPCALIB: b2: Second extraction chi^2 1.01288 4.31574 SUPERFLAT: b2: Creating superflat from 315 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174Lowest breakpoint does not cover lowest x value: changing .0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b2: Number of fiberflat points LE 0 = 8584 SPCALIB: b2: Create fiberflats for flat # 2 of 2 SPCALIB: b2: Flat sdR-b2-00034676.fit paired with arc sdR-b2-00034677.fit SPCALIB: b2: Reading flat sdR-b2-00034676.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.89986 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1225.94 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1207. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.33044 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1199.09 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.21 .0001 1 0.91 1.23 .0002 1 0.91 1.32 .0003 1 0.91 1.26 .0004 1 0.91 1.33 .0005 1 0.91 1.24 .0006 1 0.91 1.18 .0007 3 0.91 1.19 .0008 1 0.91 1.17 .0009 1 0.91 1.27 .0010 1 0.91 1.19 .0011 1 0.91 1.24 .0012 1 0.91 1.16 .0013 1 0.91 1.20 .0014 1 0.91 1.23 .0015 1 0.91 1.19 .0016 1 0.91 1.17 .0017 1 0.91 1.21 .0018 1 0.91 1.18 .0019 1 0.91 1.14 .0020 1 0.91 1.17 .0021 1 0.91 1.17 .0022 1 0.91 1.15 .0023 1 0.91 1.17 .0024 1 0.91 1.19 .0025 1 0.91 1.23 .0026 1 0.91 1.14 .0027 1 0.91 1.18 .0028 1 0.91 1.05 .0029 1 0.91 1.12 .0030 1 0.91 1.18 .0031 1 0.91 1.17 .0032 1 0.91 1.10 .0033 1 0.91 1.09 .0034 1 0.91 1.11 .0035 1 0.91 1.12 .0036 1 0.91 1.09 .0037 1 0.91 1.19 .0038 1 0.91 1.12 .0039 1 0.91 1.15 .0040 1 0.91 1.15 .0041 3 0.91 1.17 .0042 1 0.91 1.05 .0043 1 0.91 1.12 .0044 1 0.91 1.12 .0045 1 0.91 1.30 .0046 2 0.91 1.20 .0047 1 0.91 1.07 .0048 1 0.91 1.18 .0049 1 0.91 1.21 .0050 1 0.91 1.15 .0051 1 0.91 1.14 .0052 1 0.91 1.11 .0053 1 0.91 1.18 .0054 1 0.91 1.11 .0055 1 0.91 1.08 .0056 1 0.91 1.18 .0057 1 0.91 1.12 .0058 1 0.91 1.04 .0059 1 0.91 1.09 .0060 1 0.91 1.14 .0061 2 0.91 1.19 .0062 1 0.91 1.05 .0063 1 0.91 1.11 .0064 1 0.91 1.12 .0065 1 0.91 1.11 .0066 1 0.91 1.16 .0067 2 0.91 1.03 .0068 1 0.91 1.23 .0069 1 0.91 1.15 .0070 1 0.91 1.05 .0071 1 0.91 1.07 .0072 1 0.91 1.18 .0073 1 0.91 1.08 .0074 1 0.91 1.15 .0075 1 0.91 1.13 .0076 1 0.91 1.14 .0077 1 0.91 1.10 .0078 2 0.91 1.21 .0079 2 0.91 1.24 .0080 1 0.91 1.21 .0081 1 0.91 1.12 .0082 1 0.91 1.21 .0083 1 0.91 1.19 .0084 1 0.91 1.21 .0085 1 0.91 1.16 .0086 1 0.91 1.14 .0087 1 0.91 1.24 .0088 1 0.91 1.22 .0089 1 0.91 1.31 .0090 1 0.91 1.15 .0091 2 0.91 1.23 .0092 3 0.91 1.20 .0093 1 0.91 1.25 .0094 1 0.91 1.26 .0095 1 0.91 1.27 .0096 1 0.91 1.23 .0097 1 0.91 1.28 .0098 1 0.91 1.27 .0099 1 0.91 1.28 .0100 1 0.91 1.28 .0101 1 0.91 1.25 .0102 1 0.91 1.26 .0103 1 0.91 1.27 .0104 1 0.91 1.25 .0105 1 0.91 1.30 .0106 1 0.91 1.22 .0107 2 0.91 1.36 .0108 1 0.91 1.34 .0109 1 0.91 1.34 .0110 1 0.91 1.38 .0111 1 0.91 1.43 .0112 1 0.91 1.42 .0113 1 0.91 1.31 .0114 1 0.91 1.31 .0115 1 0.91 1.36 .0116 1 0.91 1.42 .0117 1 0.91 1.38 .0118 1 0.91 1.33 .0119 1 0.91 1.37 .0120 3 0.91 1.33 .0121 1 0.91 1.65 .0122 1 0.91 1.40 .0123 1 0.91 1.31 .0124 1 0.91 1.36 .0125 1 0.91 1.33 .0126 2 0.91 1.36 .0127 1 0.91 1.35 .0128 1 0.91 1.37 .0129 1 0.91 1.54 .0130 1 0.91 1.32 .0131 1 0.91 1.37 .0132 1 0.91 1.38 .0133 1 0.91 1.32 .0134 1 0.91 1.34 .0135 3 0.91 1.38 .0136 1 0.91 1.33 .0137 1 0.91 1.34 .0138 1 0.91 1.41 .0139 1 0.91 1.43 .0140 1 0.91 1.32 .0141 1 0.91 1.27 .0142 1 0.91 1.38 .0143 1 0.91 1.36 .0144 1 0.91 1.36 .0145 1 0.91 1.34 .0146 1 0.91 1.31 .0147 1 0.91 1.30 .0148 1 0.91 1.42 .0149 1 0.91 1.26 .0150 1 0.91 1.31 .0151 1 0.91 1.33 .0152 1 0.91 1.38 .0153 1 0.91 1.42 .0154 1 0.91 1.39 .0155 1 0.91 1.41 .0156 1 0.91 1.40 .0157 1 0.91 1.33 .0158 1 0.91 1.31 .0159 1 0.91 1.40 .0160 1 0.91 1.40 .0161 1 0.91 1.28 .0162 1 0.91 1.34 .0163 1 0.91 1.38 .0164 1 0.91 1.27 .0165 1 0.91 1.45 .0166 1 0.91 1.36 .0167 1 0.91 1.42 .0168 1 0.91 1.31 .0169 1 0.91 1.38 .0170 1 0.91 1.41 .0171 1 0.91 1.67 .0172 2 0.91 1.41 .0173 1 0.91 1.41 .0174 1 0.91 1.39 .0175 1 0.91 1.41 .0176 1 0.91 1.36 .0177 2 0.91 1.38 .0178 1 0.91 1.31 .0179 1 0.91 1.34 .0180 1 0.91 1.53 .0181 3 0.91 1.35 .0182 1 0.91 1.34 .0183 1 0.91 1.36 .0184 1 0.91 1.33 .0185 1 0.91 1.37 .0186 1 0.91 1.42 .0187 1 0.91 1.37 .0188 1 0.91 1.40 .0189 1 0.91 1.48 .0190 1 0.91 1.38 .0191 1 0.91 1.37 .0192 1 0.91 1.38 .0193 1 0.91 1.41 .0194 1 0.91 1.32 .0195 1 0.91 1.37 .0196 1 0.91 1.42 .0197 1 0.91 1.40 .0198 1 0.91 1.44 .0199 1 0.91 1.44 .0200 1 0.91 1.39 .0201 1 0.91 1.38 .0202 1 0.91 1.38 .0203 2 0.91 1.46 .0204 2 0.91 1.37 .0205 1 0.91 1.34 .0206 1 0.91 1.51 .0207 1 0.91 1.50 .0208 1 0.91 1.41 .0209 1 0.91 1.40 .0210 1 0.91 1.42 .0211 1 0.91 1.40 .0212 1 0.91 1.40 .0213 1 0.91 1.43 .0214 1 0.91 1.46 .0215 1 0.91 1.50 .0216 2 0.91 1.51 .0217 2 0.91 1.40 .0218 2 0.91 1.46 .0219 3 0.91 1.56 .0220 1 0.91 1.52 .0221 1 0.91 1.46 .0222 1 0.91 1.42 .0223 1 0.91 1.44 .0224 1 0.91 1.50 .0225 1 0.91 1.56 .0226 1 0.91 1.71 .0227 2 0.91 1.43 .0228 1 0.91 1.48 .0229 1 0.91 1.54 .0230 1 0.91 1.61 .0231 1 0.91 1.33 .0232 1 0.91 1.41 .0233 1 0.91 1.47 .0234 2 0.91 1.56 .0235 2 0.91 1.38 .0236 2 0.91 1.54 .0237 1 0.91 1.47 .0238 1 0.91 1.31 .0239 1 0.91 1.48 .0240 1 0.91 1.39 .0241 1 0.91 1.47 .0242 1 0.91 1.43 .0243 1 0.91 1.45 .0244 1 0.91 1.50 .0245 1 0.91 1.48 .0246 1 0.91 1.51 .0247 1 0.91 1.45 .0248 1 0.91 1.58 .0249 1 0.91 1.52 .0250 1 0.91 1.50 .0251 1 0.91 1.53 .0252 1 0.91 1.50 .0253 1 0.91 1.45 .0254 1 0.91 1.44 .0255 1 0.91 1.47 .0256 1 0.91 1.51 .0257 1 0.91 1.51 .0258 1 0.91 1.55 .0259 1 0.91 1.55 .0260 3 0.91 1.62 .0261 1 0.91 1.53 .0262 1 0.91 1.56 .0263 1 0.91 1.71 .0264 2 0.91 1.64 .0265 1 0.91 1.49 .0266 1 0.91 1.61 .0267 1 0.91 1.55 .0268 1 0.91 1.52 .0269 1 0.91 1.60 .0270 1 0.91 1.72 .0271 1 0.91 1.57 .0272 1 0.91 1.62 .0273 1 0.91 1.68 .0274 1 0.91 1.70 .0275 1 0.91 1.75 .0276 1 0.91 1.64 .0277 1 0.91 1.67 .0278 1 0.91 1.77 .0279 2 0.91 1.79 .0280 1 0.91 1.68 .0281 1 0.91 1.73 .0282 1 0.91 1.76 .0283 1 0.91 1.83 .0284 1 0.91 1.72 .0285 1 0.91 1.76 .0286 1 0.91 1.74 .0287 1 0.91 1.82 .0288 1 0.91 1.70 .0289 1 0.91 1.87 .0290 1 0.91 1.79 .0291 1 0.91 1.93 .0292 1 0.91 1.85 .0293 1 0.91 1.82 .0294 1 0.91 1.79 .0295 1 0.91 1.82 .0296 1 0.91 1.86 .0297 1 0.91 1.90 .0298 1 0.91 1.87 .0299 1 0.91 1.89 .0300 1 0.91 1.96 .0301 1 0.91 1.95 .0302 1 0.91 1.91 .0303 1 0.91 2.00 .0304 1 0.91 1.93 .0305 1 0.91 2.04 .0306 1 0.91 1.97 .0307 1 0.91 2.01 .0308 1 0.91 1.97 .0309 1 0.91 2.21 .0310 2 0.91 2.32 .0311 1 0.91 2.23 .0312 1 0.91 2.43 .0313 1 0.91 2.11 .0314 1 0.91 2.10 .0315 1 0.91 2.06 .0316 3 0.91 2.25 .0317 1 0.91 2.06 .0318 1 0.91 2.10 .0319 1 0.91 2.06 .0320 1 0.91 2.32 .0321 1 0.91 2.32 .0322 1 0.91 2.22 .0323 1 0.91 2.33 .0324 1 0.91 2.18 .0325 1 0.91 2.25 .0326 1 0.91 2.40 .0327 1 0.91 2.75 .0328 1 0.91 2.30 .0329 1 0.91 2.40 .0330 2 0.91 2.31 .0331 1 0.91 2.43 .0332 3 0.91 2.56 .0333 3 0.91 2.54 .0334 1 0.91 2.38 .0335 1 0.91 2.38 .0336 1 0.91 2.36 .0337 1 0.91 2.48 .0338 1 0.91 2.45 .0339 1 0.91 2.55 .0340 1 0.91 2.44 .0341 1 0.91 2.50 .0342 1 0.91 2.48 .0343 1 0.91 2.48 .0344 1 0.91 2.48 .0345 1 0.91 2.52 .0346 1 0.91 2.41 .0347 1 0.91 2.52 .0348 1 0.91 2.48 .0349 1 0.91 2.61 .0350 1 0.91 2.58 .0351 1 0.91 2.55 .0352 1 0.91 2.60 .0353 1 0.91 2.81 .0354 1 0.91 2.68 .0355 1 0.91 2.81 .0356 1 0.91 2.64 .0357 1 0.91 2.78 .0358 1 0.91 2.93 .0359 1 0.91 2.74 .0360 1 0.91 2.92 .0361 1 0.91 2.90 .0362 1 0.91 2.90 .0363 1 0.91 2.80 .0364 1 0.91 2.90 .0365 2 0.91 2.84 .0366 1 0.91 2.81 .0367 1 0.91 2.92 .0368 1 0.91 2.80 .0369 1 0.91 3.02 .0370 1 0.91 2.90 .0371 1 0.91 3.07 .0372 1 0.91 2.93 .0373 1 0.91 2.94 .0374 1 0.91 3.13 .0375 1 0.91 3.04 .0376 1 0.91 3.05 .0377 1 0.91 2.97 .0378 1 0.91 3.13 .0379 1 0.91 2.97 .0380 1 0.91 3.05 .0381 1 0.91 3.12 .0382 1 0.91 3.11 .0383 1 0.91 3.02 .0384 1 0.91 3.30 .0385 1 0.91 3.13 .0386 1 0.91 3.22 .0387 1 0.91 3.09 .0388 1 0.91 3.19 .0389 1 0.91 3.18 .0390 1 0.91 3.32 .0391 3 0.91 3.41 .0392 2 0.91 4.04 .0393 1 0.91 3.24 .0394 1 0.91 3.15 .0395 1 0.91 3.31 .0396 1 0.91 3.90 .0397 1 0.91 3.59 .0398 1 0.91 3.22 .0399 1 0.91 3.29 .0400 1 0.91 3.33 .0401 1 0.91 3.25 .0402 1 0.91 3.30 .0403 1 0.91 3.24 .0404 1 0.91 3.34 .0405 1 0.91 3.23 .0406 1 0.91 3.28 .0407 1 0.91 3.29 .0408 1 0.91 3.47 .0409 1 0.91 3.30 .0410 1 0.91 3.82 .0411 3 0.91 3.29 .0412 1 0.91 3.28 .0413 1 0.91 3.35 .0414 1 0.91 3.51 .0415 1 0.91 3.39 .0416 1 0.91 3.29 .0417 1 0.91 3.45 .0418 1 0.91 3.51 .0419 1 0.91 3.39 .0420 1 0.91 3.38 .0421 1 0.91 3.43 .0422 1 0.91 3.51 .0423 1 0.91 3.58 .0424 1 0.91 3.47 .0425 1 0.91 3.64 .0426 1 0.91 3.58 .0427 1 0.91 3.36 .0428 1 0.91 3.49 .0429 1 0.91 3.41 .0430 1 0.91 3.57 .0431 1 0.91 3.42 .0432 1 0.91 3.41 .0433 1 0.91 3.50 .0434 1 0.91 3.69 .0435 1 0.91 3.44 .0436 1 0.91 3.71 .0437 1 0.91 3.73 .0438 1 0.91 3.51 .0439 1 0.91 3.56 .0440 1 0.91 3.78 .0441 1 0.91 3.84 .0442 1 0.91 3.94 .0443 1 0.91 3.70 .0444 1 0.91 3.72 .0445 1 0.91 3.79 .0446 1 0.91 3.46 .0447 1 0.91 3.71 .0448 1 0.91 3.74 .0449 1 0.91 3.68 .0450 1 0.91 3.57 .0451 1 0.91 3.73 .0452 1 0.91 3.65 .0453 1 0.91 3.70 .0454 1 0.91 3.77 .0455 1 0.91 3.79 .0456 1 0.91 3.68 .0457 1 0.91 3.70 .0458 1 0.91 3.63 .0459 1 0.91 3.63 .0460 2 0.91 3.57 .0461 1 0.91 3.78 .0462 1 0.91 3.64 .0463 1 0.91 3.61 .0464 1 0.91 3.66 .0465 1 0.91 3.58 .0466 1 0.91 3.81 .0467 1 0.91 3.76 .0468 1 0.91 3.78 .0469 1 0.91 3.88 .0470 1 0.91 3.84 .0471 2 0.91 4.22 .0472 1 0.91 3.76 .0473 1 0.91 3.80 .0474 1 0.91 3.90 .0475 1 0.91 3.76 .0476 1 0.91 3.78 .0477 1 0.91 3.81 .0478 1 0.91 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1 0.91 3.06 .1978 1 0.91 3.00 .1979 1 0.91 2.87 .1980 1 0.91 3.10 .1981 1 0.91 2.99 .1982 1 0.91 3.16 .1983 1 0.91 3.09 .1984 1 0.91 2.88 .1985 1 0.91 2.82 .1986 1 0.91 2.86 .1987 1 0.91 2.90 .1988 1 0.91 2.97 .1989 1 0.92 3.12 .1990 1 0.92 2.85 .1991 1 0.92 2.88 .1992 1 0.92 2.73 .1993 1 0.92 2.79 .1994 1 0.92 2.89 .1995 1 0.92 2.88 .1996 1 0.92 2.91 .1997 1 0.92 2.95 .1998 1 0.92 2.91 .1999 3 0.92 2.91 .2000 1 0.92 3.21 .2001 1 0.92 2.85 .2002 1 0.92 2.77 .2003 2 0.92 2.71 .2004 1 0.92 2.92 .2005 1 0.92 2.79 .2006 1 0.92 2.65 .2007 1 0.92 2.75 .2008 1 0.92 2.73 .2009 1 0.92 3.02 .2010 1 0.92 2.82 .2011 1 0.92 2.62 .2012 1 0.92 2.57 .2013 1 0.92 2.76 .2014 2 0.92 2.59 .2015 1 0.92 2.99 .2016 1 0.92 2.65 .2017 1 0.92 2.63 .2018 1 0.92 2.84 .2019 1 0.92 2.57 .2020 1 0.92 2.66 .2021 1 0.92 2.64 .2022 1 0.92 2.74 .2023 1 0.92 2.65 .2024 1 0.92 2.60 .2025 1 0.92 2.53 .2026 1 0.92 2.60 .2027 1 0.92 2.56 .2028 1 0.92 2.62 .2029 1 0.92 2.57 .2030 1 0.92 2.52 .2031 1 0.92 2.45 .2032 1 0.92 2.54 .2033 1 0.92 2.44 .2034 1 0.92 2.54 .2035 2 0.92 2.87 .2036 1 0.92 2.55 .2037 1 0.92 2.51 .2038 1 0.92 2.62 .2039 1 0.92 2.57 .2040 1 0.92 2.59 .2041 1 0.92 2.38 .2042 1 0.92 2.53 .2043 1 0.92 2.44 .2044 1 0.92 2.47 .2045 1 0.92 2.51 .2046 1 0.92 2.64 .2047 1 0.92 2.58 EXTRACT_IMAGE: b2: masked 138 pixels DOSCATTER: b2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b2: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b2: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.01 0.06 Step 14 of 2080 0.62 64 0.01 0.11 Step 18 of 2080 0.61 64 0.01 0.11 Step 22 of 2080 0.61 64 0.02 0.12 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.02 0.12 Step 34 of 2080 0.61 64 0.02 0.11 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.02 0.13 Step 46 of 2080 0.61 64 0.02 0.12 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.02 0.12 Step 58 of 2080 0.61 64 0.02 0.12 Step 62 of 2080 0.61 64 0.02 0.12 Step 66 of 2080 0.61 64 0.02 0.11 Step 70 of 2080 0.61 64 0.02 0.11 Step 74 of 2080 0.61 64 0.02 0.11 Step 78 of 2080 0.61 64 0.03 0.13 Step 82 of 2080 0.61 64 0.02 0.12 Step 86 of 2080 0.61 64 0.03 0.12 Step 90 of 2080 0.61 64 0.03 0.12 Step 94 of 2080 0.61 64 0.03 0.13 Step 98 of 2080 0.60 64 0.03 0.12 Step 102 of 2080 0.60 64 0.03 0.12 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.13 Step 114 of 2080 0.60 64 0.03 0.12 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.13 Step 126 of 2080 0.60 64 0.04 0.12 Step 130 of 2080 0.60 64 0.03 0.12 Step 134 of 2080 0.60 64 0.04 0.13 Step 138 of 2080 0.60 64 0.04 0.12 Step 142 of 2080 0.60 64 0.04 0.12 Step 146 of 2080 0.60 64 0.05 0.12 Step 150 of 2080 0.60 64 0.04 0.13 Step 154 of 2080 0.60 64 0.05 0.14 Step 158 of 2080 0.60 64 0.04 0.14 Step 162 of 2080 0.60 64 0.03 0.12 Step 166 of 2080 0.60 64 0.04 0.13 Step 170 of 2080 0.60 64 0.03 0.14 Step 174 of 2080 0.60 64 0.03 0.12 Step 178 of 2080 0.59 64 0.03 0.13 Step 182 of 2080 0.59 64 0.03 0.12 Step 186 of 2080 0.59 64 0.04 0.12 Step 190 of 2080 0.59 64 0.04 0.13 Step 194 of 2080 0.59 64 0.04 0.12 Step 198 of 2080 0.59 64 0.05 0.14 Step 202 of 2080 0.59 64 0.04 0.12 Step 206 of 2080 0.59 64 0.04 0.13 Step 210 of 2080 0.59 64 0.03 0.12 Step 214 of 2080 0.59 64 0.03 0.12 Step 218 of 2080 0.59 64 0.03 0.11 Step 222 of 2080 0.59 64 0.03 0.12 Step 226 of 2080 0.59 64 0.03 0.11 Step 230 of 2080 0.59 64 0.03 0.12 Step 234 of 2080 0.59 64 0.03 0.11 Step 238 of 2080 0.59 64 0.02 0.11 Step 242 of 2080 0.59 64 0.03 0.12 Step 246 of 2080 0.59 64 0.03 0.12 Step 250 of 2080 0.59 64 0.04 0.13 Step 254 of 2080 0.59 64 0.05 0.13 Step 258 of 2080 0.58 64 0.04 0.13 Step 262 of 2080 0.58 64 0.05 0.12 Step 266 of 2080 0.58 64 0.04 0.13 Step 270 of 2080 0.58 64 0.04 0.12 Step 274 of 2080 0.58 64 0.03 0.12 Step 278 of 2080 0.58 64 0.03 0.11 Step 282 of 2080 0.58 64 0.04 0.12 Step 286 of 2080 0.58 64 0.04 0.12 Step 290 of 2080 0.58 64 0.04 0.12 Step 294 of 2080 0.58 64 0.04 0.12 Step 298 of 2080 0.58 64 0.04 0.12 Step 302 of 2080 0.58 64 0.04 0.13 Step 306 of 2080 0.58 64 0.03 0.12 Step 310 of 2080 0.58 64 0.03 0.12 Step 314 of 2080 0.58 64 0.04 0.12 Step 318 of 2080 0.58 64 0.04 0.12 Step 322 of 2080 0.58 64 0.04 0.12 Step 326 of 2080 0.58 64 0.04 0.12 Step 330 of 2080 0.58 64 0.04 0.12 Step 334 of 2080 0.58 64 0.04 0.13 Step 338 of 2080 0.57 64 0.03 0.12 Step 342 of 2080 0.57 64 0.03 0.12 Step 346 of 2080 0.57 64 0.04 0.12 Step 350 of 2080 0.57 64 0.04 0.13 Step 354 of 2080 0.57 64 0.04 0.13 Step 358 of 2080 0.57 64 0.03 0.12 Step 362 of 2080 0.57 64 0.03 0.11 Step 366 of 2080 0.57 64 0.04 0.13 Step 370 of 2080 0.57 64 0.03 0.12 Step 374 of 2080 0.57 64 0.03 0.12 Step 378 of 2080 0.57 64 0.03 0.13 Step 382 of 2080 0.57 64 0.02 0.12 Step 386 of 2080 0.57 64 0.03 0.12 Step 390 of 2080 0.57 64 0.03 0.13 Step 394 of 2080 0.57 64 0.03 0.12 Step 398 of 2080 0.57 64 0.03 0.13 Step 402 of 2080 0.57 64 0.04 0.13 Step 406 of 2080 0.57 64 0.04 0.12 Step 410 of 2080 0.57 64 0.03 0.12 Step 414 of 2080 0.57 64 0.03 0.12 Step 418 of 2080 0.56 64 0.03 0.12 Step 422 of 2080 0.56 64 0.03 0.13 Step 426 of 2080 0.56 64 0.03 0.12 Step 430 of 2080 0.56 64 0.03 0.12 Step 434 of 2080 0.56 64 0.03 0.13 Step 438 of 2080 0.56 64 0.03 0.12 Step 442 of 2080 0.56 64 0.03 0.12 Step 446 of 2080 0.56 64 0.03 0.12 Step 450 of 2080 0.56 64 0.03 0.12 Step 454 of 2080 0.56 64 0.03 0.12 Step 458 of 2080 0.56 64 0.04 0.12 Step 462 of 2080 0.56 64 0.03 0.12 Step 466 of 2080 0.56 64 0.04 0.13 Step 470 of 2080 0.56 64 0.03 0.12 Step 474 of 2080 0.56 64 0.03 0.12 Step 478 of 2080 0.56 64 0.04 0.12 Step 482 of 2080 0.56 64 0.03 0.11 Step 486 of 2080 0.56 64 0.04 0.12 Step 490 of 2080 0.56 64 0.03 0.12 Step 494 of 2080 0.56 64 0.03 0.12 Step 498 of 2080 0.56 64 0.03 0.12 Step 502 of 2080 0.55 64 0.03 0.13 Step 506 of 2080 0.55 64 0.05 0.15 Step 510 of 2080 0.55 64 0.02 0.11 Step 514 of 2080 0.55 64 0.02 0.11 Step 518 of 2080 0.55 64 0.02 0.11 Step 522 of 2080 0.55 64 0.03 0.11 Step 526 of 2080 0.55 64 0.03 0.12 Step 530 of 2080 0.55 64 0.03 0.12 Step 534 of 2080 0.55 64 0.03 0.11 Step 538 of 2080 0.55 64 0.02 0.11 Step 542 of 2080 0.55 64 0.03 0.11 Step 546 of 2080 0.55 64 0.03 0.11 Step 550 of 2080 0.55 64 0.03 0.11 Step 554 of 2080 0.55 64 0.03 0.11 Step 558 of 2080 0.55 64 0.03 0.11 Step 562 of 2080 0.55 64 0.03 0.12 Step 566 of 2080 0.55 64 0.04 0.12 Step 570 of 2080 0.55 64 0.04 0.13 Step 574 of 2080 0.55 64 0.03 0.11 Step 578 of 2080 0.55 64 0.03 0.11 Step 582 of 2080 0.54 64 0.03 0.12 Step 586 of 2080 0.54 64 0.03 0.11 Step 590 of 2080 0.54 64 0.03 0.13 Step 594 of 2080 0.54 64 0.03 0.12 Step 598 of 2080 0.54 64 0.03 0.11 Step 602 of 2080 0.54 64 0.02 0.11 Step 606 of 2080 0.54 64 0.03 0.11 Step 610 of 2080 0.54 64 0.03 0.11 Step 614 of 2080 0.54 64 0.03 0.12 Step 618 of 2080 0.54 64 0.03 0.12 Step 622 of 2080 0.54 64 0.03 0.12 Step 626 of 2080 0.54 64 0.03 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2080 0.53 64 0.03 0.12 Step 746 of 2080 0.52 64 0.02 0.11 Step 750 of 2080 0.52 64 0.03 0.12 Step 754 of 2080 0.52 64 0.03 0.11 Step 758 of 2080 0.52 64 0.04 0.13 Step 762 of 2080 0.52 64 0.03 0.13 Step 766 of 2080 0.52 64 0.03 0.11 Step 770 of 2080 0.52 64 0.05 0.15 Step 774 of 2080 0.52 64 0.03 0.13 Step 778 of 2080 0.52 64 0.03 0.12 Step 782 of 2080 0.52 64 0.03 0.12 Step 786 of 2080 0.52 64 0.04 0.12 Step 790 of 2080 0.52 64 0.04 0.12 Step 794 of 2080 0.52 64 0.04 0.13 Step 798 of 2080 0.52 64 0.03 0.12 Step 802 of 2080 0.52 64 0.02 0.11 Step 806 of 2080 0.52 64 0.03 0.12 Step 810 of 2080 0.52 64 0.03 0.12 Step 814 of 2080 0.52 64 0.03 0.12 Step 818 of 2080 0.52 64 0.03 0.12 Step 822 of 2080 0.52 64 0.03 0.12 Step 826 of 2080 0.52 64 0.03 0.12 Step 830 of 2080 0.51 64 0.03 0.13 Step 834 of 2080 0.51 64 0.03 0.13 Step 838 of 2080 0.51 64 0.03 0.12 Step 842 of 2080 0.51 64 0.03 0.12 Step 846 of 2080 0.51 64 0.03 0.13 Step 850 of 2080 0.51 64 0.03 0.12 Step 854 of 2080 0.51 64 0.04 0.13 Step 858 of 2080 0.51 64 0.03 0.12 Step 862 of 2080 0.51 64 0.04 0.12 Step 866 of 2080 0.51 64 0.03 0.11 Step 870 of 2080 0.51 64 0.03 0.11 Step 874 of 2080 0.51 64 0.04 0.12 Step 878 of 2080 0.51 64 0.04 0.12 Step 882 of 2080 0.51 64 0.04 0.13 Step 886 of 2080 0.51 64 0.03 0.11 Step 890 of 2080 0.51 64 0.04 0.13 Step 894 of 2080 0.51 64 0.04 0.12 Step 898 of 2080 0.51 64 0.04 0.12 Step 902 of 2080 0.51 64 0.04 0.13 Step 906 of 2080 0.51 64 0.04 0.12 Step 910 of 2080 0.51 64 0.04 0.12 Step 914 of 2080 0.50 64 0.04 0.12 Step 918 of 2080 0.50 64 0.04 0.13 Step 922 of 2080 0.50 64 0.04 0.13 Step 926 of 2080 0.50 64 0.03 0.13 Step 930 of 2080 0.50 64 0.03 0.12 Step 934 of 2080 0.50 64 0.04 0.12 Step 938 of 2080 0.50 64 0.03 0.12 Step 942 of 2080 0.50 64 0.03 0.12 Step 946 of 2080 0.50 64 0.03 0.12 Step 950 of 2080 0.50 64 0.03 0.12 Step 954 of 2080 0.50 64 0.03 0.12 Step 958 of 2080 0.50 64 0.04 0.13 Step 962 of 2080 0.50 64 0.04 0.13 Step 966 of 2080 0.50 64 0.03 0.12 Step 970 of 2080 0.50 64 0.02 0.11 Step 974 of 2080 0.50 64 0.02 0.11 Step 978 of 2080 0.50 64 0.02 0.11 Step 982 of 2080 0.50 64 0.03 0.11 Step 986 of 2080 0.50 64 0.02 0.11 Step 990 of 2080 0.50 64 0.03 0.11 Step 994 of 2080 0.50 64 0.03 0.12 Step 998 of 2080 0.50 64 0.03 0.12 Step 1002 of 2080 0.49 64 0.03 0.13 Step 1006 of 2080 0.49 64 0.04 0.14 Step 1010 of 2080 0.49 64 0.03 0.12 Step 1014 of 2080 0.49 64 0.04 0.13 Step 1018 of 2080 0.49 64 0.03 0.12 Step 1022 of 2080 0.49 64 0.03 0.11 Step 1026 of 2080 0.49 64 0.04 0.12 Step 1030 of 2080 0.49 64 0.03 0.11 Step 1034 of 2080 0.49 64 0.04 0.12 Step 1038 of 2080 0.49 64 0.03 0.12 Step 1042 of 2080 0.49 64 0.03 0.12 Step 1046 of 2080 0.49 64 0.04 0.14 Step 1050 of 2080 0.49 64 0.03 0.12 Step 1054 of 2080 0.49 64 0.03 0.12 Step 1058 of 2080 0.49 64 0.03 0.12 Step 1062 of 2080 0.49 64 0.03 0.12 Step 1066 of 2080 0.49 64 0.03 0.11 Step 1070 of 2080 0.49 64 0.03 0.12 Step 1074 of 2080 0.49 64 0.03 0.12 Step 1078 of 2080 0.49 64 0.03 0.12 Step 1082 of 2080 0.49 64 0.04 0.13 Step 1086 of 2080 0.48 64 0.03 0.12 Step 1090 of 2080 0.48 64 0.03 0.11 Step 1094 of 2080 0.48 64 0.04 0.12 Step 1098 of 2080 0.48 64 0.04 0.14 Step 1102 of 2080 0.48 64 0.03 0.12 Step 1106 of 2080 0.48 64 0.03 0.12 Step 1110 of 2080 0.48 64 0.03 0.12 Step 1114 of 2080 0.48 64 0.03 0.12 Step 1118 of 2080 0.48 64 0.03 0.13 Step 1122 of 2080 0.48 64 0.03 0.13 Step 1126 of 2080 0.48 64 0.03 0.12 Step 1130 of 2080 0.48 64 0.03 0.13 Step 1134 of 2080 0.48 64 0.03 0.13 Step 1138 of 2080 0.48 64 0.03 0.12 Step 1142 of 2080 0.48 64 0.04 0.13 Step 1146 of 2080 0.48 64 0.04 0.12 Step 1150 of 2080 0.48 64 0.04 0.12 Step 1154 of 2080 0.48 64 0.04 0.13 Step 1158 of 2080 0.48 64 0.04 0.12 Step 1162 of 2080 0.48 64 0.04 0.12 Step 1166 of 2080 0.48 64 0.05 0.12 Step 1170 of 2080 0.48 64 0.04 0.12 Step 1174 of 2080 0.47 64 0.04 0.11 Step 1178 of 2080 0.47 64 0.04 0.12 Step 1182 of 2080 0.47 64 0.04 0.12 Step 1186 of 2080 0.47 64 0.04 0.12 Step 1190 of 2080 0.47 64 0.04 0.12 Step 1194 of 2080 0.47 64 0.04 0.11 Step 1198 of 2080 0.47 64 0.05 0.13 Step 1202 of 2080 0.47 64 0.04 0.13 Step 1206 of 2080 0.47 64 0.05 0.13 Step 1210 of 2080 0.47 64 0.04 0.12 Step 1214 of 2080 0.47 64 0.05 0.13 Step 1218 of 2080 0.47 64 0.05 0.14 Step 1222 of 2080 0.47 64 0.05 0.13 Step 1226 of 2080 0.47 64 0.05 0.13 Step 1230 of 2080 0.47 64 0.04 0.14 Step 1234 of 2080 0.47 64 0.04 0.13 Step 1238 of 2080 0.47 64 0.04 0.13 Step 1242 of 2080 0.47 64 0.04 0.14 Step 1246 of 2080 0.47 64 0.04 0.13 Step 1250 of 2080 0.47 64 0.04 0.14 Step 1254 of 2080 0.47 64 0.03 0.11 Step 1258 of 2080 0.47 64 0.03 0.13 Step 1262 of 2080 0.46 64 0.03 0.12 Step 1266 of 2080 0.46 64 0.03 0.12 Step 1270 of 2080 0.46 64 0.03 0.12 Step 1274 of 2080 0.46 64 0.03 0.13 Step 1278 of 2080 0.46 64 0.04 0.13 Step 1282 of 2080 0.46 64 0.05 0.13 Step 1286 of 2080 0.46 64 0.05 0.14 Step 1290 of 2080 0.46 64 0.04 0.13 Step 1294 of 2080 0.46 64 0.03 0.12 Step 1298 of 2080 0.46 64 0.04 0.13 Step 1302 of 2080 0.46 64 0.04 0.13 Step 1306 of 2080 0.46 64 0.03 0.12 Step 1310 of 2080 0.46 64 0.03 0.11 Step 1314 of 2080 0.46 64 0.04 0.13 Step 1318 of 2080 0.46 64 0.04 0.13 Step 1322 of 2080 0.46 64 0.05 0.13 Step 1326 of 2080 0.46 64 0.04 0.13 Step 1330 of 2080 0.46 64 0.04 0.12 Step 1334 of 2080 0.46 64 0.03 0.12 Step 1338 of 2080 0.46 64 0.04 0.12 Step 1342 of 2080 0.46 64 0.04 0.14 Step 1346 of 2080 0.46 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.04 0.13 Step 1354 of 2080 0.45 64 0.03 0.13 Step 1358 of 2080 0.45 64 0.03 0.12 Step 1362 of 2080 0.45 64 0.03 0.11 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.04 0.14 Step 1374 of 2080 0.45 64 0.04 0.13 Step 1378 of 2080 0.45 64 0.04 0.13 Step 1382 of 2080 0.45 64 0.04 0.14 Step 1386 of 2080 0.45 64 0.04 0.14 Step 1390 of 2080 0.45 64 0.04 0.13 Step 1394 of 2080 0.45 64 0.05 0.15 Step 1398 of 2080 0.45 64 0.04 0.13 Step 1402 of 2080 0.45 64 0.03 0.12 Step 1406 of 2080 0.45 64 0.04 0.13 Step 1410 of 2080 0.45 64 0.04 0.13 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.03 0.13 Step 1422 of 2080 0.45 64 0.03 0.13 Step 1426 of 2080 0.45 64 0.03 0.12 Step 1430 of 2080 0.45 64 0.03 0.12 Step 1434 of 2080 0.45 64 0.03 0.13 Step 1438 of 2080 0.44 64 0.03 0.13 Step 1442 of 2080 0.44 64 0.03 0.12 Step 1446 of 2080 0.44 64 0.03 0.12 Step 1450 of 2080 0.44 64 0.03 0.12 Step 1454 of 2080 0.44 64 0.03 0.12 Step 1458 of 2080 0.44 64 0.03 0.12 Step 1462 of 2080 0.44 64 0.03 0.12 Step 1466 of 2080 0.44 64 0.03 0.12 Step 1470 of 2080 0.44 64 0.03 0.12 Step 1474 of 2080 0.44 64 0.02 0.11 Step 1478 of 2080 0.44 64 0.03 0.12 Step 1482 of 2080 0.44 64 0.03 0.12 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 0.44 64 0.03 0.11 Step 1494 of 2080 0.44 64 0.03 0.12 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.03 0.12 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.03 0.12 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.03 0.11 Step 1522 of 2080 0.44 64 0.03 0.12 Step 1526 of 2080 0.44 64 0.03 0.12 Step 1530 of 2080 0.43 64 0.03 0.11 Step 1534 of 2080 0.43 64 0.03 0.12 Step 1538 of 2080 0.43 64 0.03 0.12 Step 1542 of 2080 0.43 64 0.03 0.12 Step 1546 of 2080 0.43 64 0.03 0.12 Step 1550 of 2080 0.43 64 0.03 0.11 Step 1554 of 2080 0.43 64 0.03 0.12 Step 1558 of 2080 0.43 64 0.03 0.12 Step 1562 of 2080 0.43 64 0.03 0.12 Step 1566 of 2080 0.43 64 0.03 0.11 Step 1570 of 2080 0.43 64 0.03 0.12 Step 1574 of 2080 0.43 64 0.03 0.12 Step 1578 of 2080 0.43 64 0.03 0.12 Step 1582 of 2080 0.43 64 0.04 0.12 Step 1586 of 2080 0.43 64 0.03 0.14 Step 1590 of 2080 0.43 64 0.04 0.13 Step 1594 of 2080 0.43 64 0.04 0.13 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.11 Step 1606 of 2080 0.43 64 0.03 0.13 Step 1610 of 2080 0.43 64 0.04 0.13 Step 1614 of 2080 0.43 64 0.03 0.13 Step 1618 of 2080 0.43 64 0.04 0.13 Step 1622 of 2080 0.42 64 0.04 0.12 Step 1626 of 2080 0.42 64 0.03 0.12 Step 1630 of 2080 0.42 64 0.04 0.12 Step 1634 of 2080 0.42 64 0.03 0.11 Step 1638 of 2080 0.42 64 0.04 0.13 Step 1642 of 2080 0.42 64 0.03 0.13 Step 1646 of 2080 0.42 64 0.03 0.12 Step 1650 of 2080 0.42 64 0.04 0.13 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.11 Step 1670 of 2080 0.42 64 0.03 0.12 Step 1674 of 2080 0.42 64 0.04 0.13 Step 1678 of 2080 0.42 64 0.04 0.13 Step 1682 of 2080 0.42 64 0.03 0.12 Step 1686 of 2080 0.42 64 0.03 0.12 Step 1690 of 2080 0.42 64 0.04 0.13 Step 1694 of 2080 0.42 64 0.04 0.12 Step 1698 of 2080 0.42 64 0.03 0.13 Step 1702 of 2080 0.42 64 0.04 0.13 Step 1706 of 2080 0.42 64 0.03 0.13 Step 1710 of 2080 0.42 64 0.03 0.12 Step 1714 of 2080 0.42 64 0.03 0.12 Step 1718 of 2080 0.41 64 0.03 0.12 Step 1722 of 2080 0.41 64 0.04 0.12 Step 1726 of 2080 0.41 64 0.03 0.13 Step 1730 of 2080 0.41 64 0.03 0.12 Step 1734 of 2080 0.41 64 0.04 0.12 Step 1738 of 2080 0.41 64 0.04 0.13 Step 1742 of 2080 0.41 64 0.03 0.12 Step 1746 of 2080 0.41 64 0.03 0.14 Step 1750 of 2080 0.41 64 0.03 0.12 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.12 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.12 Step 1770 of 2080 0.41 64 0.04 0.13 Step 1774 of 2080 0.41 64 0.03 0.12 Step 1778 of 2080 0.41 64 0.03 0.11 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.04 0.13 Step 1790 of 2080 0.41 64 0.04 0.13 Step 1794 of 2080 0.41 64 0.03 0.12 Step 1798 of 2080 0.41 64 0.03 0.12 Step 1802 of 2080 0.41 64 0.03 0.11 Step 1806 of 2080 0.41 64 0.03 0.11 Step 1810 of 2080 0.41 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.04 0.14 Step 1834 of 2080 0.40 64 0.03 0.13 Step 1838 of 2080 0.40 64 0.03 0.13 Step 1842 of 2080 0.40 64 0.03 0.12 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.03 0.11 Step 1854 of 2080 0.40 64 0.03 0.12 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.04 0.13 Step 1874 of 2080 0.40 64 0.04 0.13 Step 1878 of 2080 0.40 64 0.03 0.13 Step 1882 of 2080 0.40 64 0.04 0.12 Step 1886 of 2080 0.40 64 0.04 0.12 Step 1890 of 2080 0.40 64 0.04 0.13 Step 1894 of 2080 0.40 64 0.03 0.14 Step 1898 of 2080 0.40 64 0.04 0.13 Step 1902 of 2080 0.40 64 0.03 0.12 Step 1906 of 2080 0.40 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.03 0.13 Step 1918 of 2080 0.39 64 0.03 0.13 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.03 0.12 Step 1942 of 2080 0.39 64 0.03 0.12 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.11 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.03 0.12 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.04 0.13 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.03 0.11 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.04 0.12 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.39 64 0.03 0.11 Step 2010 of 2080 0.38 64 0.03 0.11 Step 2014 of 2080 0.38 64 0.03 0.13 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.04 0.12 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.03 0.13 Step 2038 of 2080 0.38 64 0.03 0.12 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 64 0.03 0.11 Step 2050 of 2080 0.38 64 0.03 0.11 Step 2054 of 2080 0.38 64 0.03 0.12 Step 2058 of 2080 0.38 64 0.04 0.13 Step 2062 of 2080 0.38 64 0.03 0.12 Step 2066 of 2080 0.38 64 0.03 0.12 Step 2070 of 2080 0.38 64 0.03 0.12 Step 2074 of 2080 0.38 64 0.03 0.12 Step 2078 of 2080 0.38 64 0.03 0.11 ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.23 .0001 1 0.91 1.30 .0002 1 0.91 1.43 .0003 1 0.91 1.37 .0004 1 0.91 1.43 .0005 1 0.91 1.33 .0006 1 0.91 1.27 .0007 3 0.91 1.29 .0008 1 0.91 1.31 .0009 1 0.91 1.43 .0010 1 0.91 1.28 .0011 1 0.91 1.37 .0012 1 0.91 1.24 .0013 1 0.91 1.28 .0014 1 0.91 1.29 .0015 1 0.91 1.23 .0016 1 0.91 1.20 .0017 1 0.91 1.24 .0018 1 0.91 1.21 .0019 1 0.91 1.18 .0020 1 0.91 1.23 .0021 1 0.91 1.20 .0022 1 0.91 1.22 .0023 1 0.91 1.18 .0024 1 0.91 1.20 .0025 1 0.91 1.27 .0026 1 0.91 1.14 .0027 1 0.91 1.21 .0028 1 0.91 1.04 .0029 1 0.91 1.15 .0030 1 0.91 1.20 .0031 1 0.91 1.19 .0032 1 0.91 1.12 .0033 1 0.91 1.11 .0034 1 0.91 1.10 .0035 1 0.91 1.10 .0036 1 0.91 1.09 .0037 1 0.91 1.18 .0038 1 0.91 1.11 .0039 1 0.91 1.14 .0040 1 0.91 1.14 .0041 3 0.91 1.14 .0042 1 0.91 1.03 .0043 1 0.91 1.10 .0044 1 0.91 1.11 .0045 1 0.91 1.28 .0046 2 0.91 1.16 .0047 1 0.91 1.04 .0048 1 0.91 1.14 .0049 1 0.91 1.17 .0050 1 0.91 1.11 .0051 1 0.91 1.12 .0052 1 0.91 1.08 .0053 1 0.91 1.15 .0054 1 0.91 1.09 .0055 1 0.91 1.05 .0056 1 0.91 1.16 .0057 1 0.91 1.10 .0058 1 0.91 1.03 .0059 1 0.91 1.05 .0060 1 0.91 1.11 .0061 2 0.91 1.16 .0062 1 0.91 1.01 .0063 1 0.91 1.08 .0064 1 0.91 1.10 .0065 1 0.91 1.08 .0066 1 0.91 1.12 .0067 2 0.91 1.01 .0068 1 0.91 1.21 .0069 1 0.91 1.12 .0070 1 0.91 1.03 .0071 1 0.91 1.05 .0072 1 0.91 1.15 .0073 1 0.91 1.06 .0074 1 0.91 1.13 .0075 1 0.91 1.11 .0076 1 0.91 1.12 .0077 1 0.91 1.07 .0078 2 0.91 1.19 .0079 2 0.91 1.22 .0080 1 0.91 1.18 .0081 1 0.91 1.10 .0082 1 0.91 1.18 .0083 1 0.91 1.16 .0084 1 0.91 1.18 .0085 1 0.91 1.14 .0086 1 0.91 1.11 .0087 1 0.91 1.21 .0088 1 0.91 1.20 .0089 1 0.91 1.28 .0090 1 0.91 1.13 .0091 2 0.91 1.22 .0092 3 0.91 1.18 .0093 1 0.91 1.24 .0094 1 0.91 1.24 .0095 1 0.91 1.23 .0096 1 0.91 1.21 .0097 1 0.91 1.26 .0098 1 0.91 1.24 .0099 1 0.91 1.26 .0100 1 0.91 1.25 .0101 1 0.91 1.21 .0102 1 0.91 1.24 .0103 1 0.91 1.24 .0104 1 0.91 1.22 .0105 1 0.91 1.25 .0106 1 0.91 1.20 .0107 2 0.91 1.33 .0108 1 0.91 1.32 .0109 1 0.91 1.30 .0110 1 0.91 1.35 .0111 1 0.91 1.40 .0112 1 0.91 1.37 .0113 1 0.91 1.28 .0114 1 0.91 1.27 .0115 1 0.91 1.32 .0116 1 0.91 1.38 .0117 1 0.91 1.32 .0118 1 0.91 1.28 .0119 1 0.91 1.33 .0120 3 0.91 1.30 .0121 1 0.91 1.62 .0122 1 0.91 1.37 .0123 1 0.91 1.27 .0124 1 0.91 1.32 .0125 1 0.91 1.28 .0126 2 0.91 1.33 .0127 1 0.91 1.29 .0128 1 0.91 1.35 .0129 1 0.91 1.50 .0130 1 0.91 1.29 .0131 1 0.91 1.32 .0132 1 0.91 1.33 .0133 1 0.91 1.28 .0134 1 0.91 1.30 .0135 3 0.91 1.34 .0136 1 0.91 1.28 .0137 1 0.91 1.32 .0138 1 0.91 1.38 .0139 1 0.91 1.40 .0140 1 0.91 1.27 .0141 1 0.91 1.24 .0142 1 0.91 1.33 .0143 1 0.91 1.32 .0144 1 0.91 1.31 .0145 1 0.91 1.29 .0146 1 0.91 1.25 .0147 1 0.91 1.26 .0148 1 0.91 1.38 .0149 1 0.91 1.22 .0150 1 0.91 1.26 .0151 1 0.91 1.28 .0152 1 0.91 1.33 .0153 1 0.91 1.37 .0154 1 0.91 1.35 .0155 1 0.91 1.38 .0156 1 0.91 1.34 .0157 1 0.91 1.27 .0158 1 0.91 1.28 .0159 1 0.91 1.34 .0160 1 0.91 1.36 .0161 1 0.91 1.23 .0162 1 0.91 1.29 .0163 1 0.91 1.33 .0164 1 0.91 1.22 .0165 1 0.91 1.37 .0166 1 0.91 1.31 .0167 1 0.91 1.37 .0168 1 0.91 1.26 .0169 1 0.91 1.34 .0170 1 0.91 1.34 .0171 1 0.91 1.62 .0172 2 0.91 1.37 .0173 1 0.91 1.37 .0174 1 0.91 1.33 .0175 1 0.91 1.35 .0176 1 0.91 1.31 .0177 2 0.91 1.33 .0178 1 0.91 1.27 .0179 1 0.91 1.29 .0180 1 0.91 1.46 .0181 3 0.91 1.29 .0182 1 0.91 1.30 .0183 1 0.91 1.30 .0184 1 0.91 1.30 .0185 1 0.91 1.32 .0186 1 0.91 1.36 .0187 1 0.91 1.31 .0188 1 0.91 1.35 .0189 1 0.91 1.39 .0190 1 0.91 1.31 .0191 1 0.91 1.31 .0192 1 0.91 1.32 .0193 1 0.91 1.35 .0194 1 0.91 1.26 .0195 1 0.91 1.31 .0196 1 0.91 1.36 .0197 1 0.91 1.35 .0198 1 0.91 1.38 .0199 1 0.91 1.37 .0200 1 0.91 1.32 .0201 1 0.91 1.32 .0202 1 0.91 1.28 .0203 2 0.91 1.42 .0204 2 0.91 1.31 .0205 1 0.91 1.30 .0206 1 0.91 1.44 .0207 1 0.91 1.45 .0208 1 0.91 1.34 .0209 1 0.91 1.33 .0210 1 0.91 1.36 .0211 1 0.91 1.34 .0212 1 0.91 1.34 .0213 1 0.91 1.36 .0214 1 0.91 1.38 .0215 1 0.91 1.45 .0216 2 0.91 1.45 .0217 2 0.91 1.35 .0218 2 0.91 1.39 .0219 3 0.91 1.48 .0220 1 0.91 1.43 .0221 1 0.91 1.39 .0222 1 0.91 1.35 .0223 1 0.91 1.37 .0224 1 0.91 1.41 .0225 1 0.91 1.50 .0226 2 0.91 1.42 .0227 2 0.91 1.35 .0228 1 0.91 1.40 .0229 1 0.91 1.45 .0230 1 0.91 1.55 .0231 1 0.91 1.26 .0232 1 0.91 1.33 .0233 1 0.91 1.39 .0234 2 0.91 1.49 .0235 2 0.91 1.31 .0236 2 0.91 1.45 .0237 1 0.91 1.39 .0238 1 0.91 1.23 .0239 1 0.91 1.39 .0240 1 0.91 1.33 .0241 1 0.91 1.39 .0242 1 0.91 1.35 .0243 1 0.91 1.38 .0244 1 0.91 1.41 .0245 1 0.91 1.39 .0246 1 0.91 1.43 .0247 1 0.91 1.38 .0248 1 0.91 1.50 .0249 1 0.91 1.44 .0250 1 0.91 1.39 .0251 1 0.91 1.46 .0252 1 0.91 1.44 .0253 1 0.91 1.39 .0254 1 0.91 1.38 .0255 1 0.91 1.38 .0256 1 0.91 1.43 .0257 1 0.91 1.42 .0258 1 0.91 1.47 .0259 1 0.91 1.46 .0260 3 0.91 1.54 .0261 1 0.91 1.44 .0262 1 0.91 1.47 .0263 1 0.91 1.63 .0264 2 0.91 1.54 .0265 1 0.91 1.40 .0266 1 0.91 1.53 .0267 1 0.91 1.46 .0268 1 0.91 1.41 .0269 1 0.91 1.52 .0270 1 0.91 1.61 .0271 1 0.91 1.47 .0272 1 0.91 1.54 .0273 1 0.91 1.61 .0274 1 0.91 1.58 .0275 1 0.91 1.66 .0276 1 0.91 1.54 .0277 1 0.91 1.57 .0278 1 0.91 1.67 .0279 2 0.91 1.69 .0280 1 0.91 1.59 .0281 1 0.91 1.63 .0282 1 0.91 1.67 .0283 1 0.91 1.71 .0284 1 0.91 1.61 .0285 1 0.91 1.65 .0286 1 0.91 1.65 .0287 1 0.91 1.71 .0288 1 0.91 1.60 .0289 1 0.91 1.75 .0290 1 0.91 1.68 .0291 1 0.91 1.80 .0292 1 0.91 1.74 .0293 1 0.91 1.72 .0294 1 0.91 1.68 .0295 1 0.91 1.70 .0296 1 0.91 1.74 .0297 1 0.91 1.78 .0298 1 0.91 1.74 .0299 1 0.91 1.76 .0300 1 0.91 1.85 .0301 1 0.91 1.87 .0302 1 0.91 1.79 .0303 1 0.91 1.92 .0304 1 0.91 1.79 .0305 1 0.91 1.93 .0306 1 0.91 1.87 .0307 1 0.91 1.89 .0308 1 0.91 1.83 .0309 1 0.91 2.10 .0310 2 0.91 2.19 .0311 1 0.91 2.11 .0312 1 0.91 2.30 .0313 1 0.91 2.00 .0314 1 0.91 1.98 .0315 1 0.91 1.94 .0316 3 0.91 2.12 .0317 1 0.91 1.96 .0318 1 0.91 1.96 .0319 1 0.91 1.95 .0320 1 0.91 2.18 .0321 1 0.91 2.19 .0322 1 0.91 2.10 .0323 1 0.91 2.17 .0324 1 0.91 2.05 .0325 1 0.91 2.13 .0326 1 0.91 2.26 .0327 2 0.91 2.24 .0328 1 0.91 2.15 .0329 1 0.91 2.22 .0330 2 0.91 2.15 .0331 1 0.91 2.32 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0.90 3.42 .1720 1 0.90 3.40 .1721 1 0.90 3.46 .1722 1 0.90 3.45 .1723 1 0.90 3.24 .1724 1 0.90 3.39 .1725 1 0.90 3.29 .1726 1 0.90 3.33 .1727 1 0.90 3.23 .1728 1 0.90 3.49 .1729 1 0.90 3.39 .1730 1 0.90 3.88 .1731 1 0.90 3.78 .1732 1 0.90 3.20 .1733 1 0.90 3.42 .1734 1 0.90 3.29 .1735 1 0.90 3.45 .1736 1 0.90 3.41 .1737 1 0.90 3.45 .1738 1 0.90 3.41 .1739 1 0.90 3.22 .1740 1 0.90 3.34 .1741 1 0.90 3.39 .1742 1 0.90 3.41 .1743 1 0.90 3.30 .1744 1 0.90 3.45 .1745 1 0.90 3.36 .1746 1 0.90 3.36 .1747 1 0.90 3.50 .1748 1 0.90 3.57 .1749 1 0.90 3.44 .1750 1 0.90 3.39 .1751 1 0.90 3.48 .1752 1 0.90 3.22 .1753 1 0.90 3.36 .1754 1 0.90 3.38 .1755 1 0.90 3.54 .1756 1 0.90 3.38 .1757 1 0.90 3.39 .1758 1 0.90 3.36 .1759 1 0.90 3.30 .1760 1 0.90 3.46 .1761 1 0.90 3.28 .1762 1 0.90 3.43 .1763 1 0.90 3.36 .1764 2 0.90 3.20 .1765 1 0.90 3.30 .1766 1 0.90 3.39 .1767 2 0.90 3.45 .1768 2 0.90 3.32 .1769 2 0.90 3.15 .1770 1 0.90 3.40 .1771 1 0.90 3.30 .1772 1 0.90 3.47 .1773 1 0.90 3.33 .1774 1 0.90 3.24 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0.90 3.28 .1831 1 0.90 3.35 .1832 1 0.90 3.37 .1833 1 0.90 3.34 .1834 1 0.90 3.74 .1835 1 0.90 3.32 .1836 1 0.90 3.26 .1837 1 0.90 3.24 .1838 1 0.90 3.43 .1839 1 0.90 3.35 .1840 1 0.90 3.38 .1841 1 0.90 3.26 .1842 1 0.90 3.38 .1843 1 0.90 3.37 .1844 2 0.90 3.39 .1845 1 0.90 3.33 .1846 1 0.90 3.32 .1847 1 0.90 3.22 .1848 1 0.90 3.44 .1849 2 0.90 3.42 .1850 1 0.90 3.48 .1851 1 0.90 3.35 .1852 1 0.90 3.33 .1853 1 0.90 3.21 .1854 1 0.90 3.23 .1855 1 0.90 3.21 .1856 1 0.90 3.20 .1857 1 0.90 3.46 .1858 1 0.90 3.55 .1859 1 0.90 3.36 .1860 1 0.90 3.40 .1861 1 0.90 3.33 .1862 1 0.90 3.33 .1863 1 0.90 3.21 .1864 1 0.90 3.30 .1865 1 0.90 3.37 .1866 1 0.90 3.35 .1867 1 0.90 3.23 .1868 1 0.90 3.37 .1869 1 0.90 3.27 .1870 1 0.90 3.40 .1871 1 0.90 3.46 .1872 1 0.90 3.35 .1873 1 0.90 3.19 .1874 1 0.90 3.32 .1875 1 0.91 3.37 .1876 1 0.91 3.17 .1877 1 0.91 3.34 .1878 1 0.91 3.32 .1879 1 0.91 3.22 .1880 1 0.91 3.24 .1881 1 0.91 3.36 .1882 1 0.91 3.33 .1883 1 0.91 3.04 .1884 1 0.91 3.28 .1885 1 0.91 3.49 .1886 1 0.91 3.26 .1887 1 0.91 3.23 .1888 1 0.91 3.30 .1889 1 0.91 3.21 .1890 1 0.91 3.33 .1891 1 0.91 3.35 .1892 1 0.91 3.32 .1893 1 0.91 3.32 .1894 1 0.91 3.30 .1895 1 0.91 3.30 .1896 1 0.91 3.29 .1897 1 0.91 3.27 .1898 1 0.91 3.39 .1899 1 0.91 3.44 .1900 1 0.91 3.13 .1901 1 0.91 3.25 .1902 1 0.91 3.27 .1903 1 0.91 3.19 .1904 1 0.91 3.25 .1905 1 0.91 3.19 .1906 1 0.91 3.02 .1907 1 0.91 3.22 .1908 1 0.91 3.01 .1909 1 0.91 3.07 .1910 1 0.91 3.23 .1911 1 0.91 3.17 .1912 1 0.91 3.13 .1913 1 0.91 3.13 .1914 1 0.91 3.00 .1915 1 0.91 3.18 .1916 1 0.91 3.15 .1917 1 0.91 3.22 .1918 1 0.91 3.09 .1919 1 0.91 3.12 .1920 1 0.91 3.09 .1921 1 0.91 3.20 .1922 1 0.91 3.14 .1923 1 0.91 3.08 .1924 1 0.91 3.03 .1925 1 0.91 3.09 .1926 1 0.91 3.15 .1927 1 0.91 3.15 .1928 2 0.91 3.47 .1929 1 0.91 3.12 .1930 1 0.91 3.15 .1931 1 0.91 2.96 .1932 1 0.91 2.98 .1933 1 0.91 2.98 .1934 1 0.91 3.12 .1935 1 0.91 3.04 .1936 1 0.91 3.04 .1937 1 0.91 3.11 .1938 1 0.91 2.86 .1939 1 0.91 3.15 .1940 1 0.91 2.93 .1941 1 0.91 3.02 .1942 1 0.91 2.97 .1943 1 0.91 2.92 .1944 1 0.91 2.95 .1945 1 0.91 2.97 .1946 1 0.91 2.92 .1947 1 0.91 2.93 .1948 1 0.91 2.81 .1949 1 0.91 2.84 .1950 1 0.91 2.91 .1951 1 0.91 2.91 .1952 1 0.91 2.78 .1953 1 0.91 3.04 .1954 1 0.91 2.93 .1955 1 0.91 2.83 .1956 1 0.91 3.24 .1957 1 0.91 3.23 .1958 1 0.91 2.73 .1959 1 0.91 2.90 .1960 1 0.91 2.88 .1961 1 0.91 2.85 .1962 1 0.91 2.80 .1963 1 0.91 2.69 .1964 1 0.91 2.81 .1965 1 0.91 2.84 .1966 1 0.91 2.86 .1967 1 0.91 2.86 .1968 2 0.91 2.87 .1969 1 0.91 2.95 .1970 1 0.91 2.79 .1971 1 0.91 2.88 .1972 1 0.91 2.66 .1973 1 0.91 2.86 .1974 1 0.91 2.86 .1975 1 0.91 2.64 .1976 1 0.91 2.77 .1977 1 0.91 2.79 .1978 1 0.91 2.73 .1979 1 0.91 2.63 .1980 1 0.91 2.83 .1981 1 0.91 2.73 .1982 1 0.91 2.87 .1983 1 0.91 2.81 .1984 1 0.91 2.65 .1985 1 0.91 2.56 .1986 1 0.91 2.61 .1987 1 0.91 2.65 .1988 1 0.91 2.68 .1989 1 0.92 2.84 .1990 1 0.92 2.59 .1991 1 0.92 2.61 .1992 1 0.92 2.48 .1993 1 0.92 2.52 .1994 1 0.92 2.66 .1995 1 0.92 2.62 .1996 1 0.92 2.66 .1997 1 0.92 2.67 .1998 1 0.92 2.63 .1999 3 0.92 2.65 .2000 1 0.92 2.94 .2001 1 0.92 2.57 .2002 1 0.92 2.52 .2003 2 0.92 2.52 .2004 1 0.92 2.67 .2005 1 0.92 2.51 .2006 1 0.92 2.41 .2007 1 0.92 2.50 .2008 1 0.92 2.47 .2009 1 0.92 2.74 .2010 1 0.92 2.55 .2011 1 0.92 2.37 .2012 1 0.92 2.32 .2013 1 0.92 2.49 .2014 2 0.92 2.31 .2015 1 0.92 2.74 .2016 1 0.92 2.40 .2017 1 0.92 2.40 .2018 1 0.92 2.57 .2019 1 0.92 2.34 .2020 1 0.92 2.43 .2021 1 0.92 2.40 .2022 1 0.92 2.49 .2023 1 0.92 2.41 .2024 1 0.92 2.39 .2025 1 0.92 2.31 .2026 1 0.92 2.35 .2027 1 0.92 2.33 .2028 1 0.92 2.37 .2029 1 0.92 2.36 .2030 1 0.92 2.28 .2031 1 0.92 2.24 .2032 1 0.92 2.30 .2033 1 0.92 2.21 .2034 1 0.92 2.31 .2035 2 0.92 2.59 .2036 1 0.92 2.28 .2037 1 0.92 2.26 .2038 1 0.92 2.39 .2039 1 0.92 2.37 .2040 1 0.92 2.38 .2041 1 0.92 2.18 .2042 1 0.92 2.33 .2043 1 0.92 2.23 .2044 1 0.92 2.27 .2045 1 0.92 2.24 .2046 1 0.92 2.41 .2047 1 0.92 2.31 EXTRACT_IMAGE: b2: masked 144 pixels SPCALIB: b2: First extraction chi^2 1.02989 4.32543 SPCALIB: b2: Second extraction chi^2 1.01017 3.93258 SUPERFLAT: b2: Creating superflat from 315 fibers highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b2: Number of fiberflat points LE 0 = 8579 SPCALIB: b2: Elapsed time = 350. seconds SPREDUCE: b2: Best flat = sdR-b2-00034673.fit SPREDUCE: b2: Best arc = sdR-b2-00034674.fit QAPLOT_ARCLINE: b2: Number of arc lines: 15 QAPLOT_ARCLINE: b2: Number of arc lines below 4000 Ang: 1 QAPLOT_ARCLINE: b2: Arcline 0: lambda= 3983.84 Ang, median dev= -0.041 pix, sigma dev= 0.146 pix QAPLOT_ARCLINE: b2: Arcline 1: lambda= 4046.57 Ang, median dev= 0.000 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b2: Arcline 2: lambda= 4077.84 Ang, median dev= 0.008 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: b2: Arcline 3: lambda= 4358.34 Ang, median dev= -0.009 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b2: Arcline 4: lambda= 4678.15 Ang, median dev= 0.015 pix, sigma dev= 0.026 pix QAPLOT_ARCLINE: b2: Arcline 5: lambda= 4799.91 Ang, median dev= 0.017 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: b2: Arcline 6: lambda= 4916.07 Ang, median dev= 0.002 pix, sigma dev= 0.046 pix QAPLOT_ARCLINE: b2: Arcline 7: lambda= 5085.82 Ang, median dev= -0.009 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: b2: Arcline 8: lambda= 5460.75 Ang, median dev= -0.008 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: b2: Arcline 9: lambda= 5769.60 Ang, median dev= 0.003 pix, sigma dev= 0.006 pix QAPLOT_ARCLINE: b2: Arcline 10: lambda= 5790.66 Ang, median dev= 0.011 pix, sigma dev= 0.006 pix QAPLOT_ARCLINE: b2: Arcline 11: lambda= 5852.49 Ang, median dev= -0.006 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b2: Arcline 12: lambda= 5881.90 Ang, median dev= -0.000 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: b2: Arcline 13: lambda= 5944.83 Ang, median dev= 0.008 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b2: Arcline 14: lambda= 6030.00 Ang, median dev= -0.020 pix, sigma dev= 0.018 pix SPREDUCE: sdR-b2-00034675.fit: Reading object sdR-b2-00034675.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034675.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034675.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034675.fit: Measured read-noise in DN for amp# 2 = 3.84025 SDSSPROC: sdR-b2-00034675.fit: Measured bias value in DN for amp# 2 = 1225.70 SDSSPROC: sdR-b2-00034675.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034675.fit: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: sdR-b2-00034675.fit: Measured read-noise in DN for amp# 3 = 3.25844 SDSSPROC: sdR-b2-00034675.fit: Measured bias value in DN for amp# 3 = 1198.63 SDSSPROC: sdR-b2-00034675.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034675.fit: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: sdR-b2-00034675.fit: Number of bleading columns = 1 SDSSPROC: sdR-b2-00034675.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034675.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034675.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034675.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034675.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034675.fit: Science 25-th-percentile = 81.7121 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EXTRACT_OBJECT: sdR-b2-00034675.fit: Whopping fibers: -1 EXTRACT_OBJECT: sdR-b2-00034675.fit: Median counts in all fibers = 2043.47 EXTRACT_OBJECT: sdR-b2-00034675.fit: Number of bright fibers = 0 EXTRACT_OBJECT: sdR-b2-00034675.fit: Sky fiber median 217.977 EXTRACT_OBJECT: sdR-b2-00034675.fit: 5% and 95% count levels 212.135 5124.53 MATCH_TRACE: sdR-b2-00034675.fit: Iteration: 0 Pixels Rejected: 1419 Finished? 0 MATCH_TRACE: sdR-b2-00034675.fit: Iteration: 1 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: sdR-b2-00034675.fit: Iteration: 2 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b2-00034675.fit: Shifting traces by match_trace -0.00604248 EXTRACT_OBJECT: sdR-b2-00034675.fit: Extracting frame sdR-b2-00034675.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034675.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.90 1.10 .0001 1 0.90 1.26 .0002 1 0.90 1.28 .0003 1 0.90 1.12 .0004 1 0.90 1.14 .0005 1 0.90 1.18 .0006 1 0.90 1.17 .0007 1 0.90 1.07 .0008 2 0.90 1.21 .0009 1 0.90 1.16 .0010 3 0.90 1.17 .0011 2 0.90 1.17 .0012 1 0.90 1.26 .0013 1 0.90 1.13 .0014 1 0.90 1.04 .0015 1 0.90 1.17 .0016 1 0.90 1.15 .0017 1 0.90 1.14 .0018 1 0.90 1.13 .0019 1 0.90 1.12 .0020 1 0.90 1.09 .0021 1 0.90 1.15 .0022 1 0.90 1.16 .0023 1 0.90 1.22 .0024 1 0.90 1.14 .0025 1 0.90 1.18 .0026 3 0.90 1.14 .0027 1 0.90 1.23 .0028 3 0.90 1.13 .0029 3 0.90 1.11 .0030 3 0.90 1.22 .0031 3 0.91 1.16 .0032 2 0.91 1.15 .0033 3 0.91 1.11 .0034 4 0.91 1.29 .0035 3 0.91 1.23 .0036 1 0.91 1.16 .0037 1 0.91 1.14 .0038 2 0.91 1.13 .0039 2 0.91 1.19 .0040 3 0.91 1.19 .0041 2 0.91 1.23 .0042 3 0.91 1.23 .0043 3 0.91 1.18 .0044 1 0.91 1.12 .0045 2 0.91 1.18 .0046 2 0.91 1.20 .0047 1 0.91 1.13 .0048 1 0.91 1.12 .0049 1 0.91 1.18 .0050 1 0.91 1.14 .0051 1 0.91 1.09 .0052 1 0.91 1.15 .0053 2 0.91 1.14 .0054 1 0.91 1.15 .0055 1 0.91 1.05 .0056 1 0.91 1.13 .0057 1 0.91 1.09 .0058 1 0.91 1.05 .0059 1 0.91 1.09 .0060 1 0.91 1.01 .0061 1 0.91 1.15 .0062 3 0.91 1.07 .0063 3 0.91 1.14 .0064 1 0.91 1.14 .0065 1 0.91 1.18 .0066 1 0.91 1.09 .0067 1 0.91 1.10 .0068 1 0.91 1.07 .0069 1 0.91 1.12 .0070 1 0.91 1.11 .0071 1 0.91 1.08 .0072 2 0.91 1.08 .0073 1 0.91 1.12 .0074 1 0.91 1.12 .0075 1 0.91 1.10 .0076 1 0.91 1.15 .0077 2 0.91 1.16 .0078 2 0.91 1.18 .0079 1 0.91 1.09 .0080 1 0.91 1.22 .0081 1 0.91 1.09 .0082 1 0.91 1.12 .0083 3 0.91 1.11 .0084 4 0.91 1.19 .0085 2 0.91 1.15 .0086 2 0.91 1.24 .0087 4 0.91 1.33 .0088 1 0.91 1.20 .0089 1 0.91 1.13 .0090 2 0.91 1.17 .0091 3 0.91 1.22 .0092 2 0.91 1.24 .0093 1 0.90 1.25 .0094 1 0.90 1.24 .0095 1 0.90 1.28 .0096 1 0.90 1.23 .0097 1 0.90 1.33 .0098 3 0.90 1.16 .0099 1 0.90 1.22 .0100 1 0.90 1.27 .0101 1 0.90 1.25 .0102 1 0.90 1.22 .0103 1 0.90 1.24 .0104 1 0.90 1.29 .0105 2 0.90 1.34 .0106 1 0.90 1.30 .0107 2 0.90 1.23 .0108 1 0.90 1.22 .0109 1 0.90 1.21 .0110 1 0.90 1.29 .0111 1 0.90 1.27 .0112 1 0.90 1.27 .0113 2 0.90 1.30 .0114 1 0.90 1.21 .0115 1 0.90 1.27 .0116 2 0.90 1.24 .0117 2 0.90 1.25 .0118 1 0.90 1.22 .0119 3 0.90 1.31 .0120 1 0.90 1.41 .0121 2 0.91 1.31 .0122 1 0.91 1.28 .0123 4 0.91 1.23 .0124 1 0.91 1.34 .0125 2 0.91 1.22 .0126 3 0.91 1.36 .0127 5 0.91 1.30 .0128 3 0.91 1.36 .0129 3 0.91 1.32 .0130 1 0.91 1.22 .0131 1 0.91 1.28 .0132 1 0.91 1.30 .0133 1 0.91 1.19 .0134 2 0.91 1.23 .0135 2 0.91 1.42 .0136 3 0.91 1.21 .0137 2 0.91 1.38 .0138 1 0.91 1.28 .0139 3 0.91 1.18 .0140 2 0.91 1.28 .0141 1 0.91 1.20 .0142 1 0.91 1.24 .0143 1 0.91 1.24 .0144 2 0.91 1.26 .0145 1 0.91 1.30 .0146 3 0.91 1.26 .0147 3 0.91 1.31 .0148 2 0.91 1.25 .0149 1 0.91 1.30 .0150 2 0.91 1.24 .0151 1 0.91 1.35 .0152 3 0.91 1.30 .0153 3 0.91 1.32 .0154 1 0.91 1.20 .0155 1 0.91 1.33 .0156 1 0.91 1.33 .0157 2 0.91 1.35 .0158 1 0.91 1.23 .0159 1 0.91 1.24 .0160 2 0.91 1.31 .0161 2 0.91 1.41 .0162 1 0.91 1.27 .0163 1 0.91 1.27 .0164 1 0.91 1.32 .0165 2 0.91 1.23 .0166 2 0.91 1.36 .0167 1 0.91 1.35 .0168 1 0.91 1.27 .0169 1 0.91 1.22 .0170 1 0.91 1.21 .0171 1 0.91 1.34 .0172 1 0.91 1.27 .0173 2 0.91 1.29 .0174 2 0.91 1.50 .0175 5 0.91 1.25 .0176 1 0.91 1.20 .0177 2 0.91 1.29 .0178 1 0.91 1.22 .0179 1 0.91 1.34 .0180 1 0.91 1.20 .0181 2 0.91 1.28 .0182 1 0.91 1.33 .0183 1 0.91 1.27 .0184 1 0.91 1.29 .0185 1 0.91 1.29 .0186 3 0.91 1.30 .0187 2 0.91 1.30 .0188 1 0.91 1.22 .0189 1 0.91 1.32 .0190 1 0.91 1.22 .0191 2 0.91 1.20 .0192 2 0.91 1.27 .0193 3 0.91 1.35 .0194 2 0.91 1.23 .0195 2 0.91 1.35 .0196 1 0.91 1.26 .0197 1 0.91 1.22 .0198 1 0.91 1.20 .0199 1 0.91 1.28 .0200 2 0.91 1.35 .0201 4 0.91 1.32 .0202 3 0.91 1.36 .0203 2 0.91 1.30 .0204 1 0.91 1.29 .0205 2 0.91 1.25 .0206 1 0.91 1.25 .0207 1 0.91 1.21 .0208 1 0.91 1.28 .0209 1 0.91 1.38 .0210 1 0.91 1.24 .0211 3 0.91 1.36 .0212 1 0.91 1.27 .0213 1 0.91 1.30 .0214 3 0.91 1.30 .0215 3 0.91 1.25 .0216 2 0.91 1.25 .0217 2 0.91 1.25 .0218 1 0.91 1.29 .0219 1 0.91 1.28 .0220 1 0.91 1.29 .0221 1 0.91 1.32 .0222 1 0.91 1.25 .0223 1 0.91 1.26 .0224 1 0.91 1.28 .0225 2 0.91 1.25 .0226 1 0.91 1.17 .0227 1 0.91 1.30 .0228 1 0.91 1.28 .0229 1 0.91 1.19 .0230 1 0.91 1.25 .0231 1 0.91 1.34 .0232 1 0.91 1.28 .0233 3 0.91 1.35 .0234 3 0.91 1.36 .0235 1 0.91 1.36 .0236 1 0.91 1.22 .0237 1 0.91 1.30 .0238 1 0.91 1.26 .0239 2 0.91 1.34 .0240 2 0.91 1.30 .0241 1 0.91 1.28 .0242 1 0.91 1.29 .0243 2 0.91 1.34 .0244 1 0.91 1.37 .0245 2 0.91 1.29 .0246 2 0.91 1.33 .0247 1 0.91 1.35 .0248 3 0.91 1.24 .0249 4 0.91 1.27 .0250 3 0.91 1.30 .0251 1 0.91 1.36 .0252 1 0.91 1.34 .0253 1 0.91 1.25 .0254 1 0.91 1.31 .0255 1 0.91 1.31 .0256 1 0.91 1.24 .0257 3 0.91 1.30 .0258 2 0.91 1.26 .0259 1 0.91 1.24 .0260 3 0.91 1.32 .0261 1 0.91 1.34 .0262 4 0.91 1.34 .0263 3 0.91 1.41 .0264 1 0.91 1.19 .0265 1 0.91 1.35 .0266 2 0.91 1.24 .0267 2 0.91 1.20 .0268 3 0.91 1.27 .0269 1 0.91 1.28 .0270 4 0.91 1.32 .0271 1 0.91 1.42 .0272 1 0.91 1.29 .0273 1 0.91 1.39 .0274 1 0.91 1.31 .0275 2 0.91 1.34 .0276 1 0.91 1.26 .0277 1 0.91 1.40 .0278 1 0.91 1.34 .0279 1 0.91 1.46 .0280 1 0.91 1.40 .0281 1 0.91 1.40 .0282 2 0.91 1.41 .0283 1 0.91 1.34 .0284 2 0.91 1.27 .0285 1 0.91 1.36 .0286 1 0.91 1.40 .0287 3 0.91 1.38 .0288 2 0.91 1.33 .0289 1 0.91 1.30 .0290 1 0.91 1.41 .0291 1 0.91 1.38 .0292 1 0.91 1.42 .0293 3 0.91 1.37 .0294 2 0.91 1.39 .0295 1 0.91 1.35 .0296 1 0.91 1.41 .0297 3 0.91 1.29 .0298 1 0.91 1.45 .0299 2 0.91 1.35 .0300 1 0.91 1.35 .0301 2 0.91 1.38 .0302 3 0.91 1.36 .0303 1 0.91 1.35 .0304 1 0.91 1.43 .0305 1 0.91 1.41 .0306 1 0.91 1.40 .0307 2 0.91 1.42 .0308 1 0.91 1.35 .0309 1 0.91 1.48 .0310 1 0.91 1.45 .0311 1 0.91 1.32 .0312 3 0.91 1.38 .0313 1 0.91 1.38 .0314 1 0.91 1.43 .0315 1 0.91 1.37 .0316 3 0.91 1.39 .0317 5 0.91 1.43 .0318 4 0.91 1.47 .0319 4 0.91 1.34 .0320 1 0.91 1.54 .0321 1 0.91 1.35 .0322 1 0.91 1.40 .0323 1 0.91 1.40 .0324 1 0.91 1.44 .0325 1 0.91 1.35 .0326 1 0.91 1.42 .0327 2 0.91 1.37 .0328 4 0.91 1.43 .0329 4 0.91 1.48 .0330 2 0.91 1.55 .0331 1 0.91 1.40 .0332 1 0.91 1.37 .0333 2 0.91 1.44 .0334 1 0.91 1.42 .0335 2 0.91 1.51 .0336 1 0.91 1.53 .0337 1 0.91 1.50 .0338 1 0.91 1.48 .0339 2 0.91 1.58 .0340 2 0.91 1.47 .0341 1 0.91 1.45 .0342 2 0.91 1.57 .0343 1 0.91 1.51 .0344 1 0.91 1.50 .0345 1 0.91 1.51 .0346 1 0.91 1.54 .0347 1 0.91 1.52 .0348 1 0.91 1.58 .0349 3 0.91 1.45 .0350 1 0.91 1.48 .0351 1 0.91 1.40 .0352 1 0.91 1.55 .0353 1 0.91 1.59 .0354 1 0.91 1.55 .0355 2 0.91 1.50 .0356 2 0.91 1.55 .0357 2 0.91 1.56 .0358 3 0.91 1.67 .0359 2 0.91 1.62 .0360 3 0.91 1.53 .0361 2 0.91 1.58 .0362 2 0.91 1.51 .0363 1 0.91 1.44 .0364 1 0.91 1.50 .0365 1 0.91 1.49 .0366 2 0.91 1.39 .0367 1 0.91 1.48 .0368 1 0.91 1.39 .0369 2 0.91 1.44 .0370 1 0.91 1.45 .0371 3 0.91 1.47 .0372 2 0.91 1.59 .0373 1 0.91 1.42 .0374 1 0.91 1.53 .0375 1 0.91 1.48 .0376 2 0.91 1.42 .0377 2 0.91 1.53 .0378 1 0.91 1.58 .0379 1 0.91 1.47 .0380 3 0.91 1.55 .0381 1 0.91 1.54 .0382 3 0.91 1.47 .0383 3 0.91 1.52 .0384 1 0.91 1.47 .0385 1 0.91 1.43 .0386 1 0.91 1.52 .0387 1 0.91 1.53 .0388 1 0.91 1.53 .0389 3 0.91 1.62 .0390 2 0.91 1.63 .0391 1 0.91 1.44 .0392 2 0.91 1.56 .0393 2 0.91 1.56 .0394 3 0.91 1.56 .0395 1 0.91 1.55 .0396 1 0.91 1.62 .0397 1 0.91 1.50 .0398 1 0.91 1.50 .0399 2 0.91 1.64 .0400 3 0.91 1.52 .0401 1 0.91 1.49 .0402 1 0.91 1.45 .0403 1 0.91 1.46 .0404 2 0.91 1.52 .0405 1 0.91 1.44 .0406 1 0.91 1.48 .0407 1 0.91 1.50 .0408 3 0.91 1.76 .0409 2 0.91 1.75 .0410 2 0.91 1.45 .0411 3 0.91 1.51 .0412 2 0.91 1.44 .0413 2 0.91 1.48 .0414 2 0.91 1.45 .0415 2 0.91 1.52 .0416 2 0.91 1.67 .0417 3 0.91 1.65 .0418 2 0.91 1.56 .0419 2 0.91 1.55 .0420 3 0.91 1.49 .0421 3 0.91 1.45 .0422 3 0.91 1.61 .0423 3 0.91 1.53 .0424 2 0.91 1.48 .0425 1 0.91 1.50 .0426 1 0.91 1.52 .0427 2 0.91 1.45 .0428 2 0.91 1.62 .0429 1 0.91 1.50 .0430 2 0.91 1.53 .0431 3 0.91 1.56 .0432 3 0.91 1.54 .0433 1 0.91 1.71 .0434 1 0.91 1.51 .0435 2 0.91 1.59 .0436 3 0.91 1.58 .0437 3 0.91 1.73 .0438 1 0.91 1.51 .0439 1 0.91 1.55 .0440 1 0.91 1.52 .0441 1 0.91 1.59 .0442 1 0.91 1.62 .0443 1 0.91 1.49 .0444 1 0.91 1.57 .0445 1 0.91 1.50 .0446 1 0.91 1.53 .0447 1 0.91 1.52 .0448 2 0.91 1.57 .0449 3 0.91 1.48 .0450 1 0.91 1.60 .0451 1 0.91 1.48 .0452 1 0.91 1.46 .0453 1 0.91 1.52 .0454 3 0.91 1.50 .0455 1 0.91 1.49 .0456 1 0.91 1.52 .0457 4 0.91 1.43 .0458 4 0.91 1.64 .0459 2 0.91 1.49 .0460 2 0.91 1.56 .0461 1 0.91 1.55 .0462 1 0.91 1.61 .0463 1 0.91 1.64 .0464 2 0.91 1.69 .0465 2 0.91 1.51 .0466 2 0.91 1.61 .0467 1 0.91 1.45 .0468 1 0.91 1.54 .0469 2 0.91 1.52 .0470 1 0.91 1.48 .0471 2 0.91 1.54 .0472 1 0.91 1.54 .0473 1 0.91 1.42 .0474 1 0.91 1.52 .0475 1 0.91 1.68 .0476 2 0.91 1.57 .0477 1 0.91 1.85 .0478 1 0.91 1.81 .0479 1 0.91 1.55 .0480 1 0.91 1.64 .0481 1 0.91 1.56 .0482 1 0.91 1.60 .0483 2 0.91 1.56 .0484 1 0.91 1.52 .0485 1 0.91 1.59 .0486 2 0.91 1.50 .0487 2 0.91 1.83 .0488 2 0.91 1.67 .0489 3 0.91 1.82 .0490 4 0.91 1.62 .0491 3 0.91 1.64 .0492 3 0.91 1.77 .0493 1 0.91 1.53 .0494 1 0.91 1.43 .0495 2 0.91 1.52 .0496 1 0.91 1.47 .0497 1 0.91 1.50 .0498 1 0.91 1.43 .0499 2 0.91 1.65 .0500 3 0.91 1.65 .0501 1 0.91 1.59 .0502 1 0.91 1.38 .0503 2 0.91 1.56 .0504 1 0.91 1.47 .0505 1 0.91 1.54 .0506 2 0.91 1.58 .0507 2 0.91 1.58 .0508 3 0.91 1.61 .0509 1 0.91 1.39 .0510 2 0.91 1.51 .0511 1 0.91 1.41 .0512 1 0.91 1.44 .0513 1 0.91 1.54 .0514 2 0.91 1.52 .0515 4 0.91 1.52 .0516 1 0.91 1.44 .0517 1 0.91 1.71 .0518 2 0.91 1.51 .0519 2 0.91 1.53 .0520 1 0.91 1.50 .0521 1 0.91 1.54 .0522 1 0.91 1.50 .0523 2 0.91 1.50 .0524 1 0.91 1.47 .0525 1 0.91 1.51 .0526 1 0.91 1.48 .0527 1 0.91 1.58 .0528 1 0.91 1.48 .0529 1 0.91 1.60 .0530 2 0.91 1.54 .0531 2 0.91 1.57 .0532 1 0.91 1.52 .0533 1 0.91 1.50 .0534 1 0.91 1.52 .0535 1 0.91 1.53 .0536 1 0.91 1.46 .0537 3 0.91 1.56 .0538 2 0.91 1.55 .0539 2 0.91 1.62 .0540 1 0.91 1.57 .0541 1 0.91 1.54 .0542 1 0.91 1.46 .0543 1 0.91 1.49 .0544 2 0.91 1.57 .0545 2 0.91 1.49 .0546 1 0.91 1.51 .0547 1 0.91 1.52 .0548 1 0.91 1.54 .0549 1 0.91 1.55 .0550 1 0.91 1.51 .0551 1 0.91 1.53 .0552 2 0.91 1.53 .0553 2 0.91 1.57 .0554 3 0.91 1.56 .0555 2 0.91 1.66 .0556 3 0.91 1.57 .0557 2 0.91 1.58 .0558 2 0.91 1.61 .0559 2 0.91 1.45 .0560 1 0.91 1.64 .0561 1 0.91 1.50 .0562 1 0.91 1.49 .0563 3 0.91 1.59 .0564 2 0.91 1.62 .0565 1 0.91 1.55 .0566 3 0.91 1.60 .0567 3 0.91 1.50 .0568 2 0.91 1.61 .0569 1 0.91 1.59 .0570 1 0.91 1.52 .0571 1 0.91 1.58 .0572 3 0.91 1.56 .0573 2 0.91 1.56 .0574 1 0.91 1.53 .0575 1 0.91 1.54 .0576 1 0.91 1.54 .0577 1 0.91 1.44 .0578 1 0.91 1.53 .0579 1 0.91 1.54 .0580 1 0.91 1.60 .0581 1 0.91 1.55 .0582 2 0.91 1.50 .0583 1 0.91 1.54 .0584 1 0.91 1.52 .0585 1 0.91 1.63 .0586 1 0.91 1.61 .0587 3 0.91 1.64 .0588 1 0.91 1.54 .0589 1 0.91 1.61 .0590 1 0.91 1.48 .0591 1 0.91 1.51 .0592 1 0.91 1.50 .0593 1 0.91 1.55 .0594 2 0.91 1.56 .0595 3 0.91 1.53 .0596 1 0.91 1.47 .0597 1 0.91 1.49 .0598 1 0.91 1.43 .0599 1 0.91 1.52 .0600 1 0.91 1.39 .0601 3 0.91 1.61 .0602 1 0.91 1.56 .0603 1 0.91 1.45 .0604 1 0.91 1.51 .0605 3 0.91 1.55 .0606 1 0.91 1.52 .0607 1 0.91 1.48 .0608 1 0.91 1.51 .0609 1 0.91 1.51 .0610 3 0.91 1.41 .0611 1 0.91 1.47 .0612 2 0.91 1.72 .0613 2 0.91 1.56 .0614 2 0.91 1.45 .0615 2 0.91 1.52 .0616 2 0.91 1.47 .0617 2 0.91 1.60 .0618 1 0.91 1.40 .0619 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1.52 .0675 5 0.92 1.59 .0676 1 0.92 1.55 .0677 2 0.92 1.58 .0678 1 0.92 1.59 .0679 1 0.92 1.67 .0680 2 0.92 1.52 .0681 3 0.92 1.61 .0682 2 0.92 1.63 .0683 2 0.92 1.81 .0684 2 0.92 1.58 .0685 3 0.92 1.52 .0686 1 0.92 1.49 .0687 1 0.92 1.54 .0688 3 0.92 1.58 .0689 3 0.92 1.55 .0690 1 0.92 1.57 .0691 1 0.92 1.53 .0692 1 0.92 1.56 .0693 1 0.92 1.66 .0694 1 0.92 1.62 .0695 1 0.92 1.50 .0696 2 0.92 1.58 .0697 2 0.92 1.53 .0698 1 0.92 1.51 .0699 2 0.92 1.73 .0700 1 0.92 1.55 .0701 1 0.92 1.49 .0702 1 0.92 1.50 .0703 1 0.92 1.50 .0704 2 0.92 1.65 .0705 1 0.92 1.51 .0706 1 0.92 1.56 .0707 1 0.92 1.67 .0708 2 0.92 1.59 .0709 1 0.92 1.58 .0710 1 0.92 1.61 .0711 1 0.92 1.54 .0712 1 0.92 1.57 .0713 2 0.92 1.55 .0714 1 0.92 1.58 .0715 2 0.92 1.52 .0716 2 0.92 1.63 .0717 1 0.92 1.63 .0718 1 0.92 1.54 .0719 2 0.92 1.60 .0720 2 0.92 1.57 .0721 1 0.92 1.62 .0722 1 0.92 1.55 .0723 1 0.92 1.54 .0724 2 0.92 1.55 .0725 1 0.92 1.51 .0726 2 0.92 1.61 .0727 1 0.92 1.63 .0728 1 0.92 1.47 .0729 1 0.92 1.46 .0730 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1.47 .1119 1 0.91 1.43 .1120 1 0.91 1.40 .1121 1 0.91 1.40 .1122 2 0.91 1.51 .1123 3 0.91 1.56 .1124 2 0.91 1.64 .1125 2 0.91 1.43 .1126 2 0.91 1.43 .1127 2 0.91 1.41 .1128 1 0.91 1.42 .1129 2 0.91 1.42 .1130 2 0.91 1.39 .1131 1 0.91 1.46 .1132 1 0.91 1.43 .1133 1 0.91 1.45 .1134 2 0.91 1.54 .1135 2 0.91 1.41 .1136 1 0.91 1.51 .1137 1 0.91 1.51 .1138 2 0.91 1.54 .1139 2 0.91 1.57 .1140 1 0.91 1.39 .1141 1 0.91 1.42 .1142 1 0.91 1.57 .1143 2 0.91 1.47 .1144 1 0.91 1.66 .1145 5 0.91 1.47 .1146 3 0.91 1.46 .1147 3 0.91 1.49 .1148 1 0.91 1.49 .1149 1 0.91 1.52 .1150 1 0.91 1.47 .1151 1 0.91 1.49 .1152 1 0.91 1.44 .1153 3 0.91 1.38 .1154 1 0.91 1.46 .1155 1 0.91 1.51 .1156 1 0.91 1.42 .1157 1 0.91 1.38 .1158 1 0.91 1.52 .1159 1 0.91 1.43 .1160 1 0.91 1.47 .1161 1 0.91 1.41 .1162 2 0.91 1.48 .1163 1 0.91 1.52 .1164 3 0.91 1.52 .1165 1 0.91 1.32 .1166 1 0.91 1.52 .1167 1 0.91 1.38 .1168 1 0.91 1.51 .1169 1 0.91 1.47 .1170 1 0.91 1.39 .1171 1 0.91 1.46 .1172 1 0.91 1.46 .1173 1 0.91 1.45 .1174 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1.41 .1341 1 0.90 1.51 .1342 1 0.90 1.43 .1343 1 0.90 1.54 .1344 1 0.90 1.41 .1345 2 0.90 1.60 .1346 2 0.90 1.46 .1347 2 0.90 1.42 .1348 3 0.90 1.56 .1349 3 0.90 1.41 .1350 2 0.90 1.47 .1351 2 0.90 1.48 .1352 3 0.90 1.47 .1353 1 0.90 1.50 .1354 1 0.90 1.50 .1355 1 0.90 1.49 .1356 1 0.90 1.55 .1357 1 0.90 1.40 .1358 1 0.90 1.46 .1359 1 0.90 1.41 .1360 1 0.90 1.47 .1361 2 0.90 1.57 .1362 1 0.90 1.44 .1363 2 0.90 1.48 .1364 2 0.90 1.52 .1365 2 0.90 1.56 .1366 3 0.90 1.47 .1367 3 0.90 1.51 .1368 2 0.90 1.45 .1369 1 0.90 1.45 .1370 3 0.90 1.49 .1371 3 0.90 1.49 .1372 3 0.90 1.46 .1373 1 0.90 1.58 .1374 1 0.90 1.48 .1375 1 0.90 1.39 .1376 1 0.90 1.37 .1377 1 0.90 1.52 .1378 2 0.90 1.53 .1379 2 0.90 1.36 .1380 3 0.90 1.38 .1381 1 0.90 1.41 .1382 2 0.90 1.52 .1383 1 0.90 1.43 .1384 1 0.90 1.48 .1385 2 0.90 1.48 .1386 1 0.90 1.45 .1387 1 0.90 1.50 .1388 2 0.90 1.62 .1389 2 0.90 1.45 .1390 1 0.90 1.39 .1391 1 0.90 1.45 .1392 1 0.90 1.50 .1393 1 0.90 1.46 .1394 1 0.90 1.45 .1395 1 0.90 1.52 .1396 2 0.90 1.57 .1397 1 0.90 1.52 .1398 3 0.90 1.55 .1399 3 0.90 1.44 .1400 3 0.90 1.62 .1401 2 0.90 1.52 .1402 1 0.90 1.58 .1403 1 0.90 1.40 .1404 2 0.90 1.48 .1405 4 0.90 1.58 .1406 2 0.90 1.42 .1407 1 0.90 1.57 .1408 1 0.90 1.51 .1409 2 0.90 1.49 .1410 4 0.90 1.48 .1411 2 0.90 1.45 .1412 3 0.90 1.47 .1413 3 0.90 1.55 .1414 2 0.90 1.52 .1415 1 0.90 1.49 .1416 1 0.90 1.42 .1417 1 0.90 1.42 .1418 2 0.90 1.39 .1419 1 0.90 1.41 .1420 1 0.90 1.41 .1421 2 0.90 1.44 .1422 1 0.90 1.46 .1423 2 0.90 1.40 .1424 4 0.90 1.48 .1425 3 0.90 1.42 .1426 1 0.90 1.70 .1427 1 0.90 1.42 .1428 1 0.90 1.35 .1429 1 0.90 1.39 .1430 1 0.90 1.44 .1431 1 0.90 1.39 .1432 1 0.90 1.41 .1433 1 0.90 1.53 .1434 1 0.90 1.48 .1435 3 0.90 1.54 .1436 1 0.90 1.53 .1437 1 0.90 1.43 .1438 1 0.90 1.50 .1439 1 0.90 1.37 .1440 1 0.90 1.56 .1441 1 0.90 1.45 .1442 2 0.90 1.56 .1443 4 0.90 1.50 .1444 1 0.90 1.67 .1445 2 0.90 1.53 .1446 1 0.90 1.31 .1447 1 0.90 1.51 .1448 2 0.90 1.44 .1449 2 0.90 1.52 .1450 1 0.90 1.48 .1451 1 0.90 1.43 .1452 1 0.90 1.41 .1453 1 0.90 1.35 .1454 1 0.90 1.33 .1455 3 0.90 1.41 .1456 3 0.90 1.41 .1457 1 0.90 1.46 .1458 1 0.90 1.50 .1459 1 0.90 1.43 .1460 2 0.90 1.54 .1461 1 0.90 1.38 .1462 1 0.90 1.46 .1463 2 0.90 1.56 .1464 2 0.90 1.45 .1465 1 0.90 1.48 .1466 2 0.90 1.43 .1467 2 0.90 1.50 .1468 3 0.90 1.44 .1469 1 0.90 1.39 .1470 3 0.90 1.57 .1471 3 0.90 1.51 .1472 3 0.90 1.45 .1473 3 0.90 1.44 .1474 2 0.90 1.54 .1475 1 0.90 1.40 .1476 2 0.90 1.56 .1477 2 0.90 1.63 .1478 2 0.90 1.57 .1479 2 0.90 1.40 .1480 2 0.90 1.50 .1481 3 0.90 1.43 .1482 2 0.90 1.44 .1483 2 0.90 1.45 .1484 1 0.90 1.59 .1485 1 0.90 1.41 .1486 1 0.90 1.40 .1487 1 0.90 1.54 .1488 2 0.90 1.53 .1489 2 0.90 1.59 .1490 3 0.90 1.42 .1491 1 0.90 1.44 .1492 1 0.90 1.48 .1493 3 0.90 1.57 .1494 1 0.90 1.54 .1495 3 0.90 1.51 .1496 3 0.90 1.44 .1497 2 0.90 1.52 .1498 2 0.90 1.54 .1499 2 0.90 1.56 .1500 2 0.90 1.46 .1501 1 0.90 1.44 .1502 1 0.90 1.48 .1503 1 0.90 1.44 .1504 2 0.90 1.54 .1505 1 0.90 1.51 .1506 1 0.90 1.44 .1507 2 0.90 1.45 .1508 2 0.90 1.53 .1509 1 0.90 1.43 .1510 1 0.90 1.59 .1511 1 0.90 1.43 .1512 2 0.90 1.45 .1513 2 0.90 1.45 .1514 1 0.90 1.56 .1515 3 0.90 1.50 .1516 1 0.90 1.41 .1517 1 0.90 1.51 .1518 1 0.90 1.42 .1519 1 0.90 1.45 .1520 1 0.90 1.39 .1521 1 0.90 1.45 .1522 1 0.90 1.45 .1523 1 0.90 1.41 .1524 1 0.90 1.44 .1525 2 0.90 1.54 .1526 1 0.90 1.44 .1527 2 0.90 1.42 .1528 4 0.90 1.44 .1529 2 0.90 1.31 .1530 1 0.90 1.41 .1531 3 0.90 1.40 .1532 3 0.90 1.38 .1533 3 0.90 1.32 .1534 3 0.90 1.24 .1535 3 0.90 1.33 .1536 3 0.90 1.47 .1537 2 0.90 1.37 .1538 2 0.90 1.41 .1539 1 0.90 1.42 .1540 1 0.90 1.41 .1541 2 0.90 1.39 .1542 3 0.90 1.34 .1543 2 0.90 1.45 .1544 5 0.90 1.42 .1545 4 0.90 1.29 .1546 4 0.90 1.42 .1547 2 0.90 1.42 .1548 3 0.90 1.41 .1549 1 0.90 1.56 .1550 1 0.90 1.36 .1551 3 0.90 1.39 .1552 1 0.90 1.33 .1553 1 0.90 1.35 .1554 1 0.90 1.38 .1555 1 0.90 1.47 .1556 2 0.90 1.49 .1557 1 0.90 1.40 .1558 1 0.90 1.40 .1559 1 0.90 1.33 .1560 1 0.90 1.32 .1561 1 0.90 1.42 .1562 2 0.90 1.42 .1563 2 0.90 1.51 .1564 1 0.90 1.43 .1565 2 0.90 1.40 .1566 3 0.90 1.56 .1567 3 0.90 1.45 .1568 2 0.90 1.39 .1569 2 0.90 1.43 .1570 2 0.90 1.50 .1571 2 0.90 1.42 .1572 2 0.90 1.39 .1573 1 0.90 1.50 .1574 1 0.90 1.41 .1575 1 0.90 1.48 .1576 1 0.90 1.40 .1577 1 0.90 1.40 .1578 1 0.90 1.44 .1579 2 0.90 1.52 .1580 1 0.90 1.42 .1581 3 0.90 1.47 .1582 1 0.90 1.39 .1583 2 0.90 1.60 .1584 1 0.90 1.61 .1585 4 0.90 1.54 .1586 1 0.90 1.43 .1587 1 0.90 1.45 .1588 1 0.90 1.48 .1589 1 0.90 1.60 .1590 1 0.90 1.44 .1591 1 0.90 1.50 .1592 1 0.90 1.52 .1593 1 0.90 1.43 .1594 1 0.90 1.40 .1595 4 0.90 1.33 .1596 4 0.90 1.52 .1597 1 0.90 1.46 .1598 1 0.90 1.50 .1599 1 0.90 1.45 .1600 2 0.90 1.50 .1601 1 0.90 1.56 .1602 2 0.90 1.68 .1603 1 0.90 1.55 .1604 1 0.90 1.39 .1605 1 0.90 1.73 .1606 2 0.90 1.54 .1607 1 0.90 1.46 .1608 2 0.90 1.57 .1609 1 0.90 1.51 .1610 1 0.90 1.42 .1611 1 0.90 1.43 .1612 1 0.90 1.43 .1613 1 0.90 1.43 .1614 1 0.90 1.49 .1615 1 0.90 1.45 .1616 1 0.90 1.49 .1617 1 0.90 1.50 .1618 1 0.90 1.55 .1619 1 0.90 1.51 .1620 2 0.90 1.51 .1621 1 0.90 1.45 .1622 1 0.90 1.45 .1623 1 0.90 1.49 .1624 2 0.90 1.54 .1625 2 0.90 1.40 .1626 3 0.90 1.43 .1627 2 0.90 1.52 .1628 1 0.90 1.50 .1629 1 0.90 1.41 .1630 2 0.90 1.51 .1631 1 0.90 1.42 .1632 1 0.90 1.52 .1633 3 0.90 1.48 .1634 1 0.90 1.49 .1635 1 0.90 1.44 .1636 2 0.90 1.53 .1637 4 0.90 1.45 .1638 1 0.90 1.54 .1639 3 0.90 1.44 .1640 3 0.90 1.40 .1641 3 0.90 1.50 .1642 3 0.90 1.51 .1643 2 0.90 1.66 .1644 2 0.90 1.60 .1645 1 0.90 1.65 .1646 1 0.90 1.54 .1647 2 0.90 1.45 .1648 1 0.90 1.52 .1649 3 0.90 1.53 .1650 3 0.90 1.48 .1651 3 0.90 1.54 .1652 2 0.90 1.46 .1653 3 0.90 1.45 .1654 1 0.90 1.54 .1655 1 0.90 1.51 .1656 1 0.90 1.40 .1657 3 0.90 1.48 .1658 1 0.90 1.43 .1659 1 0.90 1.45 .1660 1 0.90 1.53 .1661 3 0.90 1.54 .1662 1 0.90 1.46 .1663 1 0.90 1.50 .1664 2 0.90 1.56 .1665 1 0.90 1.52 .1666 1 0.90 1.44 .1667 1 0.90 1.43 .1668 2 0.90 1.44 .1669 1 0.90 1.55 .1670 1 0.90 1.62 .1671 1 0.90 1.43 .1672 1 0.90 1.44 .1673 1 0.90 1.48 .1674 1 0.90 1.45 .1675 1 0.90 1.38 .1676 1 0.90 1.60 .1677 1 0.90 1.48 .1678 2 0.90 1.52 .1679 1 0.90 1.59 .1680 1 0.90 1.52 .1681 2 0.90 1.46 .1682 1 0.90 1.54 .1683 1 0.90 1.53 .1684 2 0.90 1.50 .1685 1 0.90 1.53 .1686 1 0.90 1.48 .1687 1 0.90 1.47 .1688 1 0.90 1.55 .1689 2 0.90 1.60 .1690 2 0.90 1.50 .1691 1 0.90 1.50 .1692 2 0.90 1.41 .1693 2 0.90 1.41 .1694 1 0.90 1.54 .1695 2 0.90 1.57 .1696 1 0.90 1.46 .1697 1 0.90 1.48 .1698 2 0.90 1.50 .1699 1 0.90 1.45 .1700 1 0.90 1.47 .1701 3 0.90 1.53 .1702 1 0.90 1.57 .1703 1 0.90 1.46 .1704 1 0.90 1.47 .1705 1 0.90 1.52 .1706 3 0.90 1.46 .1707 3 0.90 1.68 .1708 2 0.90 1.60 .1709 1 0.90 1.51 .1710 1 0.90 1.51 .1711 1 0.90 1.47 .1712 1 0.90 1.55 .1713 2 0.90 1.55 .1714 2 0.90 1.54 .1715 4 0.90 1.64 .1716 3 0.90 1.58 .1717 1 0.90 1.52 .1718 1 0.90 1.54 .1719 1 0.90 1.45 .1720 1 0.90 1.60 .1721 1 0.90 1.52 .1722 2 0.90 1.51 .1723 1 0.90 1.39 .1724 1 0.90 1.52 .1725 1 0.90 1.59 .1726 1 0.90 1.43 .1727 2 0.90 1.49 .1728 4 0.90 1.53 .1729 2 0.90 1.61 .1730 2 0.90 1.62 .1731 2 0.90 1.58 .1732 3 0.90 1.59 .1733 4 0.90 1.51 .1734 1 0.90 1.60 .1735 1 0.90 1.58 .1736 1 0.90 1.57 .1737 1 0.90 1.49 .1738 2 0.90 1.55 .1739 1 0.90 1.55 .1740 2 0.90 1.56 .1741 2 0.90 1.52 .1742 3 0.90 1.50 .1743 4 0.90 1.48 .1744 2 0.90 1.77 .1745 2 0.90 1.55 .1746 1 0.90 1.55 .1747 2 0.90 1.43 .1748 3 0.90 1.48 .1749 2 0.90 1.45 .1750 3 0.90 1.47 .1751 3 0.90 1.49 .1752 1 0.90 1.39 .1753 1 0.90 1.46 .1754 1 0.90 1.41 .1755 4 0.90 1.39 .1756 2 0.90 1.54 .1757 1 0.90 1.35 .1758 1 0.90 1.32 .1759 3 0.90 1.56 .1760 3 0.90 1.40 .1761 1 0.90 1.38 .1762 1 0.90 1.35 .1763 1 0.90 1.32 .1764 3 0.90 1.39 .1765 1 0.90 1.35 .1766 1 0.90 1.47 .1767 2 0.90 1.35 .1768 1 0.90 1.42 .1769 1 0.90 1.33 .1770 2 0.90 1.41 .1771 3 0.90 1.35 .1772 6 0.90 1.52 .1773 4 0.90 1.55 .1774 1 0.90 1.36 .1775 1 0.90 1.37 .1776 2 0.90 1.45 .1777 3 0.90 1.44 .1778 3 0.90 1.44 .1779 1 0.90 1.49 .1780 1 0.90 1.39 .1781 1 0.90 1.39 .1782 1 0.90 1.28 .1783 1 0.90 1.43 .1784 2 0.90 1.51 .1785 3 0.90 1.49 .1786 4 0.90 1.45 .1787 2 0.90 1.51 .1788 3 0.90 1.42 .1789 2 0.90 1.42 .1790 2 0.90 1.49 .1791 1 0.90 1.50 .1792 1 0.90 1.45 .1793 1 0.90 1.44 .1794 1 0.90 1.44 .1795 2 0.90 1.57 .1796 1 0.90 1.56 .1797 1 0.90 1.59 .1798 1 0.90 1.53 .1799 1 0.90 1.53 .1800 1 0.90 1.51 .1801 5 0.90 1.48 .1802 4 0.90 1.47 .1803 2 0.90 1.52 .1804 1 0.90 1.53 .1805 3 0.90 1.49 .1806 2 0.90 1.45 .1807 1 0.90 1.55 .1808 2 0.90 1.51 .1809 1 0.90 1.45 .1810 1 0.90 1.63 .1811 3 0.90 1.50 .1812 1 0.90 1.49 .1813 2 0.90 1.49 .1814 2 0.90 1.50 .1815 3 0.90 1.57 .1816 3 0.90 1.40 .1817 3 0.90 1.60 .1818 3 0.90 1.47 .1819 1 0.90 1.44 .1820 1 0.90 1.55 .1821 1 0.90 1.44 .1822 1 0.90 1.52 .1823 1 0.90 1.45 .1824 1 0.90 1.47 .1825 1 0.90 1.49 .1826 1 0.90 1.54 .1827 2 0.90 1.50 .1828 2 0.90 1.48 .1829 1 0.90 1.46 .1830 1 0.90 1.52 .1831 1 0.90 1.45 .1832 1 0.90 1.45 .1833 1 0.90 1.47 .1834 2 0.90 1.44 .1835 1 0.90 1.49 .1836 1 0.90 1.45 .1837 1 0.90 1.46 .1838 2 0.90 1.54 .1839 2 0.90 1.55 .1840 1 0.90 1.58 .1841 1 0.90 1.47 .1842 1 0.90 1.56 .1843 1 0.90 1.51 .1844 1 0.90 1.47 .1845 1 0.90 1.49 .1846 2 0.90 1.55 .1847 3 0.90 1.51 .1848 5 0.90 1.59 .1849 3 0.90 1.56 .1850 1 0.90 1.53 .1851 2 0.90 1.60 .1852 2 0.90 1.44 .1853 4 0.90 1.50 .1854 3 0.90 1.49 .1855 1 0.90 1.44 .1856 1 0.90 1.54 .1857 1 0.90 1.36 .1858 1 0.90 1.59 .1859 1 0.90 1.56 .1860 1 0.90 1.44 .1861 2 0.90 1.47 .1862 1 0.90 1.60 .1863 1 0.90 1.57 .1864 3 0.91 1.54 .1865 2 0.91 1.47 .1866 2 0.91 1.59 .1867 2 0.91 1.63 .1868 1 0.91 1.40 .1869 1 0.91 1.54 .1870 1 0.91 1.48 .1871 1 0.91 1.53 .1872 3 0.91 1.40 .1873 3 0.91 1.53 .1874 1 0.91 1.48 .1875 2 0.91 1.41 .1876 1 0.91 1.49 .1877 1 0.91 1.54 .1878 1 0.91 1.43 .1879 2 0.91 1.39 .1880 2 0.91 1.38 .1881 1 0.91 1.43 .1882 1 0.91 1.34 .1883 2 0.91 1.48 .1884 3 0.91 1.51 .1885 3 0.91 1.26 .1886 2 0.91 1.43 .1887 2 0.91 1.38 .1888 1 0.91 1.32 .1889 1 0.91 1.31 .1890 1 0.91 1.32 .1891 1 0.91 1.32 .1892 1 0.91 1.31 .1893 1 0.91 1.24 .1894 2 0.91 1.52 .1895 3 0.91 1.37 .1896 1 0.91 1.24 .1897 1 0.91 1.31 .1898 2 0.91 1.39 .1899 2 0.91 1.42 .1900 2 0.91 1.40 .1901 2 0.91 1.45 .1902 2 0.91 1.37 .1903 1 0.91 1.39 .1904 1 0.91 1.36 .1905 1 0.91 1.31 .1906 1 0.91 1.37 .1907 1 0.91 1.33 .1908 1 0.91 1.38 .1909 1 0.91 1.38 .1910 1 0.91 1.43 .1911 2 0.91 1.38 .1912 2 0.91 1.35 .1913 2 0.91 1.31 .1914 1 0.91 1.47 .1915 1 0.91 1.43 .1916 3 0.91 1.57 .1917 3 0.91 1.48 .1918 1 0.91 1.36 .1919 2 0.91 1.36 .1920 2 0.91 1.40 .1921 2 0.91 1.37 .1922 1 0.91 1.38 .1923 1 0.91 1.37 .1924 1 0.91 1.37 .1925 3 0.91 1.38 .1926 2 0.91 1.40 .1927 1 0.91 1.39 .1928 2 0.91 1.42 .1929 1 0.91 1.34 .1930 1 0.91 1.41 .1931 1 0.91 1.36 .1932 1 0.91 1.38 .1933 1 0.91 1.47 .1934 2 0.91 1.39 .1935 2 0.91 1.44 .1936 1 0.91 1.32 .1937 1 0.91 1.37 .1938 1 0.91 1.36 .1939 2 0.91 1.41 .1940 1 0.91 1.41 .1941 2 0.91 1.34 .1942 1 0.91 1.44 .1943 2 0.91 1.46 .1944 3 0.91 1.45 .1945 4 0.91 1.55 .1946 4 0.91 1.57 .1947 3 0.91 1.44 .1948 1 0.91 1.47 .1949 1 0.91 1.45 .1950 2 0.91 1.26 .1951 2 0.91 1.42 .1952 2 0.91 1.38 .1953 2 0.91 1.44 .1954 2 0.91 1.49 .1955 1 0.91 1.30 .1956 2 0.91 1.43 .1957 1 0.91 1.32 .1958 1 0.91 1.36 .1959 1 0.91 1.34 .1960 1 0.91 1.41 .1961 1 0.91 1.38 .1962 1 0.91 1.35 .1963 1 0.91 1.28 .1964 1 0.91 1.30 .1965 1 0.91 1.39 .1966 2 0.91 1.40 .1967 3 0.91 1.28 .1968 3 0.91 1.40 .1969 2 0.91 1.38 .1970 2 0.91 1.37 .1971 3 0.91 1.30 .1972 3 0.91 1.33 .1973 2 0.91 1.33 .1974 1 0.91 1.26 .1975 3 0.91 1.33 .1976 1 0.91 1.31 .1977 1 0.91 1.23 .1978 1 0.91 1.28 .1979 2 0.91 1.35 .1980 2 0.92 1.33 .1981 2 0.92 1.30 .1982 1 0.92 1.28 .1983 1 0.92 1.33 .1984 1 0.92 1.25 .1985 1 0.92 1.28 .1986 3 0.92 1.33 .1987 4 0.92 1.32 .1988 2 0.92 1.31 .1989 2 0.92 1.29 .1990 2 0.92 1.43 .1991 3 0.92 1.37 .1992 3 0.92 1.30 .1993 3 0.92 1.44 .1994 2 0.92 1.35 .1995 1 0.92 1.42 .1996 1 0.92 1.40 .1997 1 0.92 1.30 .1998 1 0.92 1.39 .1999 1 0.92 1.36 .2000 3 0.92 1.38 .2001 1 0.92 1.42 .2002 2 0.92 1.35 .2003 3 0.92 1.32 .2004 1 0.92 1.27 .2005 3 0.92 1.33 .2006 2 0.92 1.38 .2007 3 0.92 1.41 .2008 2 0.92 1.46 .2009 1 0.92 1.33 .2010 1 0.92 1.30 .2011 1 0.92 1.26 .2012 1 0.92 1.38 .2013 1 0.92 1.31 .2014 1 0.92 1.31 .2015 1 0.92 1.27 .2016 2 0.92 1.41 .2017 2 0.92 1.42 .2018 1 0.92 1.31 .2019 3 0.92 1.32 .2020 3 0.92 1.27 .2021 1 0.92 1.33 .2022 1 0.92 1.28 .2023 1 0.92 1.22 .2024 1 0.92 1.27 .2025 3 0.92 1.30 .2026 3 0.92 1.29 .2027 3 0.92 1.30 .2028 2 0.92 1.20 .2029 3 0.92 1.27 .2030 4 0.92 1.27 .2031 3 0.92 1.34 .2032 3 0.92 1.21 .2033 1 0.92 1.25 .2034 2 0.92 1.29 .2035 3 0.92 1.24 .2036 3 0.92 1.41 .2037 4 0.92 1.28 .2038 4 0.92 1.23 .2039 3 0.92 1.30 .2040 2 0.92 1.35 .2041 3 0.92 1.22 .2042 3 0.92 1.23 .2043 2 0.92 1.23 .2044 2 0.92 1.34 .2045 2 0.92 1.25 .2046 2 0.92 1.21 .2047 1 0.92 1.27 EXTRACT_IMAGE: sdR-b2-00034675.fit: masked 1738 pixels EXTRACT_OBJECT: sdR-b2-00034675.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034675.fit: Scattered light median = 17.6758 electrons QAPLOT_SCATLIGHT: sdR-b2-00034675.fit: Scattered light max = 30.7013 electrons EXTRACT_OBJECT: sdR-b2-00034675.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034675.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034675.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034675.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 32 0.01 0.06 Step 10 of 2080 0.62 32 0.01 0.06 Step 14 of 2080 0.62 64 0.02 0.12 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.02 0.12 Step 26 of 2080 0.61 64 0.03 0.13 Step 30 of 2080 0.61 64 0.03 0.13 Step 34 of 2080 0.61 64 0.03 0.12 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.02 0.11 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.02 0.11 Step 58 of 2080 0.61 64 0.02 0.10 Step 62 of 2080 0.61 64 0.02 0.11 Step 66 of 2080 0.61 64 0.02 0.11 Step 70 of 2080 0.61 64 0.02 0.11 Step 74 of 2080 0.61 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0.42 64 0.03 0.11 Step 1658 of 2080 0.42 64 0.03 0.11 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.11 Step 1670 of 2080 0.42 64 0.04 0.12 Step 1674 of 2080 0.42 64 0.03 0.13 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.11 Step 1686 of 2080 0.42 64 0.04 0.13 Step 1690 of 2080 0.42 64 0.03 0.12 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.03 0.12 Step 1702 of 2080 0.42 64 0.03 0.13 Step 1706 of 2080 0.42 64 0.03 0.13 Step 1710 of 2080 0.42 64 0.03 0.11 Step 1714 of 2080 0.42 64 0.03 0.11 Step 1718 of 2080 0.41 64 0.03 0.11 Step 1722 of 2080 0.41 64 0.02 0.11 Step 1726 of 2080 0.41 64 0.03 0.11 Step 1730 of 2080 0.41 64 0.03 0.13 Step 1734 of 2080 0.41 64 0.03 0.11 Step 1738 of 2080 0.41 64 0.03 0.12 Step 1742 of 2080 0.41 64 0.03 0.11 Step 1746 of 2080 0.41 64 0.03 0.11 Step 1750 of 2080 0.41 64 0.03 0.12 Step 1754 of 2080 0.41 64 0.03 0.11 Step 1758 of 2080 0.41 64 0.03 0.12 Step 1762 of 2080 0.41 64 0.04 0.12 Step 1766 of 2080 0.41 64 0.03 0.12 Step 1770 of 2080 0.41 64 0.03 0.11 Step 1774 of 2080 0.41 64 0.03 0.12 Step 1778 of 2080 0.41 64 0.03 0.11 Step 1782 of 2080 0.41 64 0.04 0.13 Step 1786 of 2080 0.41 64 0.03 0.12 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.13 Step 1798 of 2080 0.41 64 0.04 0.12 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.41 64 0.03 0.13 Step 1810 of 2080 0.41 64 0.05 0.14 Step 1814 of 2080 0.40 64 0.04 0.12 Step 1818 of 2080 0.40 64 0.04 0.12 Step 1822 of 2080 0.40 64 0.04 0.13 Step 1826 of 2080 0.40 64 0.04 0.13 Step 1830 of 2080 0.40 64 0.04 0.13 Step 1834 of 2080 0.40 64 0.04 0.14 Step 1838 of 2080 0.40 64 0.04 0.13 Step 1842 of 2080 0.40 64 0.03 0.13 Step 1846 of 2080 0.40 64 0.04 0.12 Step 1850 of 2080 0.40 64 0.04 0.12 Step 1854 of 2080 0.40 64 0.04 0.12 Step 1858 of 2080 0.40 64 0.04 0.14 Step 1862 of 2080 0.40 64 0.04 0.13 Step 1866 of 2080 0.40 64 0.03 0.13 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.03 0.12 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.11 Step 1886 of 2080 0.40 64 0.03 0.11 Step 1890 of 2080 0.40 64 0.04 0.13 Step 1894 of 2080 0.40 64 0.03 0.12 Step 1898 of 2080 0.40 64 0.03 0.13 Step 1902 of 2080 0.40 64 0.03 0.12 Step 1906 of 2080 0.40 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.03 0.11 Step 1918 of 2080 0.39 64 0.04 0.13 Step 1922 of 2080 0.39 64 0.04 0.12 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.03 0.11 Step 1942 of 2080 0.39 64 0.04 0.12 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.04 0.13 Step 1958 of 2080 0.39 64 0.04 0.13 Step 1962 of 2080 0.39 64 0.03 0.12 Step 1966 of 2080 0.39 64 0.03 0.12 Step 1970 of 2080 0.39 64 0.03 0.11 Step 1974 of 2080 0.39 64 0.03 0.13 Step 1978 of 2080 0.39 64 0.03 0.11 Step 1982 of 2080 0.39 64 0.03 0.11 Step 1986 of 2080 0.39 64 0.03 0.11 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.03 0.11 Step 1998 of 2080 0.39 64 0.02 0.11 Step 2002 of 2080 0.39 64 0.02 0.12 Step 2006 of 2080 0.39 64 0.02 0.11 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.11 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.12 Step 2042 of 2080 0.38 64 0.04 0.13 Step 2046 of 2080 0.38 64 0.03 0.12 Step 2050 of 2080 0.38 64 0.03 0.12 Step 2054 of 2080 0.38 64 0.03 0.11 Step 2058 of 2080 0.38 64 0.03 0.13 Step 2062 of 2080 0.38 64 0.03 0.12 Step 2066 of 2080 0.38 64 0.03 0.12 Step 2070 of 2080 0.38 64 0.03 0.12 Step 2074 of 2080 0.38 64 0.03 0.12 Step 2078 of 2080 0.38 64 0.04 0.13 EXTRACT_OBJECT: sdR-b2-00034675.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 1 0.90 1.16 .0001 1 0.90 1.42 .0002 1 0.90 1.43 .0003 1 0.90 1.33 .0004 1 0.90 1.36 .0005 1 0.90 1.37 .0006 1 0.90 1.32 .0007 1 0.90 1.26 .0008 2 0.90 1.39 .0009 1 0.90 1.37 .0010 3 0.90 1.29 .0011 2 0.90 1.30 .0012 1 0.90 1.37 .0013 1 0.90 1.27 .0014 1 0.90 1.16 .0015 1 0.90 1.31 .0016 1 0.90 1.30 .0017 1 0.90 1.29 .0018 1 0.90 1.24 .0019 1 0.90 1.16 .0020 1 0.90 1.18 .0021 1 0.90 1.27 .0022 1 0.90 1.24 .0023 1 0.90 1.29 .0024 1 0.90 1.18 .0025 1 0.90 1.25 .0026 3 0.90 1.19 .0027 1 0.90 1.26 .0028 3 0.90 1.20 .0029 3 0.90 1.14 .0030 3 0.90 1.22 .0031 3 0.91 1.19 .0032 2 0.91 1.15 .0033 3 0.91 1.13 .0034 4 0.91 1.29 .0035 3 0.91 1.22 .0036 1 0.91 1.18 .0037 1 0.91 1.13 .0038 2 0.91 1.11 .0039 2 0.91 1.17 .0040 3 0.91 1.17 .0041 2 0.91 1.22 .0042 3 0.91 1.22 .0043 3 0.91 1.17 .0044 1 0.91 1.11 .0045 2 0.91 1.19 .0046 2 0.91 1.19 .0047 1 0.91 1.11 .0048 1 0.91 1.09 .0049 1 0.91 1.15 .0050 1 0.91 1.15 .0051 1 0.91 1.07 .0052 1 0.91 1.14 .0053 2 0.91 1.12 .0054 1 0.91 1.13 .0055 1 0.91 1.04 .0056 1 0.91 1.11 .0057 1 0.91 1.08 .0058 1 0.91 1.04 .0059 1 0.91 1.08 .0060 1 0.91 1.00 .0061 1 0.91 1.12 .0062 3 0.91 1.06 .0063 3 0.91 1.13 .0064 1 0.91 1.13 .0065 1 0.91 1.17 .0066 1 0.91 1.08 .0067 1 0.91 1.09 .0068 1 0.91 1.06 .0069 1 0.91 1.11 .0070 1 0.91 1.10 .0071 1 0.91 1.06 .0072 2 0.91 1.07 .0073 1 0.91 1.11 .0074 1 0.91 1.10 .0075 1 0.91 1.09 .0076 1 0.91 1.13 .0077 2 0.91 1.15 .0078 2 0.91 1.16 .0079 1 0.91 1.08 .0080 1 0.91 1.20 .0081 1 0.91 1.08 .0082 1 0.91 1.11 .0083 3 0.91 1.09 .0084 4 0.91 1.17 .0085 2 0.91 1.13 .0086 2 0.91 1.21 .0087 4 0.91 1.33 .0088 1 0.91 1.19 .0089 1 0.91 1.12 .0090 2 0.91 1.16 .0091 3 0.91 1.20 .0092 2 0.91 1.22 .0093 1 0.90 1.22 .0094 1 0.90 1.22 .0095 1 0.90 1.26 .0096 1 0.90 1.21 .0097 1 0.90 1.30 .0098 3 0.90 1.12 .0099 1 0.90 1.22 .0100 1 0.90 1.27 .0101 1 0.90 1.24 .0102 1 0.90 1.19 .0103 1 0.90 1.22 .0104 1 0.90 1.28 .0105 2 0.90 1.32 .0106 1 0.90 1.29 .0107 2 0.90 1.21 .0108 1 0.90 1.20 .0109 1 0.90 1.18 .0110 1 0.90 1.27 .0111 1 0.90 1.25 .0112 1 0.90 1.26 .0113 2 0.90 1.27 .0114 1 0.90 1.19 .0115 1 0.90 1.23 .0116 2 0.90 1.22 .0117 2 0.90 1.24 .0118 1 0.90 1.20 .0119 3 0.90 1.28 .0120 1 0.90 1.39 .0121 2 0.91 1.28 .0122 1 0.91 1.26 .0123 4 0.91 1.21 .0124 1 0.91 1.31 .0125 2 0.91 1.19 .0126 3 0.91 1.33 .0127 5 0.91 1.28 .0128 3 0.91 1.32 .0129 3 0.91 1.28 .0130 1 0.91 1.20 .0131 1 0.91 1.26 .0132 1 0.91 1.25 .0133 1 0.91 1.17 .0134 2 0.91 1.21 .0135 2 0.91 1.38 .0136 3 0.91 1.19 .0137 2 0.91 1.37 .0138 1 0.91 1.26 .0139 3 0.91 1.16 .0140 2 0.91 1.22 .0141 1 0.91 1.18 .0142 1 0.91 1.22 .0143 1 0.91 1.24 .0144 2 0.91 1.23 .0145 1 0.91 1.27 .0146 3 0.91 1.23 .0147 3 0.91 1.27 .0148 2 0.91 1.23 .0149 1 0.91 1.28 .0150 2 0.91 1.22 .0151 1 0.91 1.32 .0152 3 0.91 1.27 .0153 3 0.91 1.29 .0154 1 0.91 1.18 .0155 1 0.91 1.29 .0156 1 0.91 1.32 .0157 2 0.91 1.31 .0158 1 0.91 1.19 .0159 1 0.91 1.21 .0160 2 0.91 1.27 .0161 2 0.91 1.39 .0162 1 0.91 1.23 .0163 1 0.91 1.24 .0164 1 0.91 1.28 .0165 2 0.91 1.20 .0166 2 0.91 1.33 .0167 1 0.91 1.32 .0168 1 0.91 1.23 .0169 1 0.91 1.21 .0170 1 0.91 1.19 .0171 1 0.91 1.28 .0172 1 0.91 1.24 .0173 2 0.91 1.26 .0174 2 0.91 1.48 .0175 5 0.91 1.20 .0176 1 0.91 1.16 .0177 2 0.91 1.26 .0178 1 0.91 1.19 .0179 1 0.91 1.30 .0180 1 0.91 1.18 .0181 2 0.91 1.24 .0182 1 0.91 1.30 .0183 1 0.91 1.24 .0184 1 0.91 1.26 .0185 1 0.91 1.26 .0186 3 0.91 1.26 .0187 2 0.91 1.26 .0188 1 0.91 1.20 .0189 1 0.91 1.28 .0190 1 0.91 1.19 .0191 2 0.91 1.18 .0192 2 0.91 1.23 .0193 3 0.91 1.33 .0194 2 0.91 1.23 .0195 2 0.91 1.30 .0196 1 0.91 1.23 .0197 1 0.91 1.18 .0198 1 0.91 1.18 .0199 1 0.91 1.25 .0200 2 0.91 1.30 .0201 4 0.91 1.30 .0202 4 0.91 1.27 .0203 2 0.91 1.27 .0204 1 0.91 1.25 .0205 2 0.91 1.22 .0206 1 0.91 1.22 .0207 1 0.91 1.18 .0208 1 0.91 1.26 .0209 1 0.91 1.34 .0210 1 0.91 1.21 .0211 3 0.91 1.33 .0212 1 0.91 1.23 .0213 1 0.91 1.26 .0214 3 0.91 1.27 .0215 3 0.91 1.21 .0216 2 0.91 1.22 .0217 2 0.91 1.22 .0218 1 0.91 1.26 .0219 1 0.91 1.24 .0220 1 0.91 1.25 .0221 1 0.91 1.29 .0222 1 0.91 1.19 .0223 1 0.91 1.23 .0224 1 0.91 1.25 .0225 2 0.91 1.21 .0226 1 0.91 1.15 .0227 1 0.91 1.26 .0228 1 0.91 1.25 .0229 1 0.91 1.15 .0230 1 0.91 1.22 .0231 1 0.91 1.32 .0232 1 0.91 1.25 .0233 3 0.91 1.30 .0234 3 0.91 1.34 .0235 1 0.91 1.34 .0236 1 0.91 1.19 .0237 1 0.91 1.25 .0238 1 0.91 1.24 .0239 2 0.91 1.31 .0240 2 0.91 1.27 .0241 1 0.91 1.26 .0242 1 0.91 1.26 .0243 2 0.91 1.31 .0244 1 0.91 1.35 .0245 2 0.91 1.25 .0246 2 0.91 1.28 .0247 1 0.91 1.30 .0248 3 0.91 1.21 .0249 4 0.91 1.22 .0250 3 0.91 1.26 .0251 1 0.91 1.32 .0252 1 0.91 1.29 .0253 1 0.91 1.21 .0254 1 0.91 1.28 .0255 1 0.91 1.29 .0256 1 0.91 1.20 .0257 3 0.91 1.27 .0258 2 0.91 1.23 .0259 1 0.91 1.19 .0260 3 0.91 1.27 .0261 1 0.91 1.30 .0262 4 0.91 1.31 .0263 3 0.91 1.36 .0264 1 0.91 1.16 .0265 1 0.91 1.30 .0266 2 0.91 1.20 .0267 2 0.91 1.17 .0268 3 0.91 1.25 .0269 1 0.91 1.23 .0270 4 0.91 1.28 .0271 1 0.91 1.39 .0272 1 0.91 1.26 .0273 1 0.91 1.36 .0274 1 0.91 1.28 .0275 2 0.91 1.30 .0276 1 0.91 1.22 .0277 1 0.91 1.35 .0278 1 0.91 1.32 .0279 1 0.91 1.42 .0280 1 0.91 1.34 .0281 1 0.91 1.37 .0282 2 0.91 1.36 .0283 1 0.91 1.31 .0284 2 0.91 1.22 .0285 1 0.91 1.32 .0286 1 0.91 1.34 .0287 3 0.91 1.34 .0288 2 0.91 1.28 .0289 1 0.91 1.24 .0290 1 0.91 1.37 .0291 1 0.91 1.33 .0292 1 0.91 1.40 .0293 3 0.91 1.31 .0294 2 0.91 1.33 .0295 1 0.91 1.32 .0296 1 0.91 1.37 .0297 3 0.91 1.26 .0298 1 0.91 1.40 .0299 2 0.91 1.31 .0300 1 0.91 1.30 .0301 2 0.91 1.35 .0302 3 0.91 1.33 .0303 1 0.91 1.29 .0304 1 0.91 1.38 .0305 1 0.91 1.36 .0306 1 0.91 1.34 .0307 2 0.91 1.36 .0308 1 0.91 1.31 .0309 1 0.91 1.43 .0310 1 0.91 1.41 .0311 1 0.91 1.27 .0312 3 0.91 1.32 .0313 1 0.91 1.32 .0314 1 0.91 1.38 .0315 1 0.91 1.33 .0316 3 0.91 1.34 .0317 5 0.91 1.37 .0318 4 0.91 1.41 .0319 4 0.91 1.29 .0320 1 0.91 1.50 .0321 1 0.91 1.30 .0322 1 0.91 1.34 .0323 1 0.91 1.36 .0324 1 0.91 1.39 .0325 1 0.91 1.29 .0326 1 0.91 1.38 .0327 2 0.91 1.32 .0328 4 0.91 1.35 .0329 4 0.91 1.43 .0330 2 0.91 1.48 .0331 1 0.91 1.35 .0332 1 0.91 1.33 .0333 2 0.91 1.39 .0334 1 0.91 1.38 .0335 2 0.91 1.45 .0336 1 0.91 1.46 .0337 1 0.91 1.43 .0338 1 0.91 1.43 .0339 2 0.91 1.52 .0340 2 0.91 1.39 .0341 1 0.91 1.40 .0342 2 0.91 1.52 .0343 1 0.91 1.44 .0344 1 0.91 1.44 .0345 1 0.91 1.43 .0346 1 0.91 1.48 .0347 1 0.91 1.45 .0348 1 0.91 1.51 .0349 3 0.91 1.38 .0350 1 0.91 1.43 .0351 1 0.91 1.36 .0352 1 0.91 1.49 .0353 1 0.91 1.51 .0354 1 0.91 1.47 .0355 2 0.91 1.44 .0356 2 0.91 1.47 .0357 2 0.91 1.49 .0358 3 0.91 1.60 .0359 2 0.91 1.52 .0360 3 0.91 1.46 .0361 2 0.91 1.51 .0362 2 0.91 1.45 .0363 1 0.91 1.38 .0364 1 0.91 1.42 .0365 1 0.91 1.42 .0366 2 0.91 1.33 .0367 1 0.91 1.42 .0368 1 0.91 1.35 .0369 2 0.91 1.35 .0370 1 0.91 1.38 .0371 3 0.91 1.39 .0372 2 0.91 1.54 .0373 1 0.91 1.36 .0374 1 0.91 1.47 .0375 1 0.91 1.41 .0376 2 0.91 1.35 .0377 2 0.91 1.45 .0378 1 0.91 1.52 .0379 1 0.91 1.40 .0380 4 0.91 1.40 .0381 1 0.91 1.48 .0382 3 0.91 1.40 .0383 3 0.91 1.45 .0384 1 0.91 1.40 .0385 1 0.91 1.40 .0386 1 0.91 1.43 .0387 1 0.91 1.45 .0388 1 0.91 1.45 .0389 3 0.91 1.52 .0390 2 0.91 1.56 .0391 1 0.91 1.37 .0392 2 0.91 1.50 .0393 2 0.91 1.47 .0394 3 0.91 1.47 .0395 1 0.91 1.49 .0396 1 0.91 1.55 .0397 1 0.91 1.43 .0398 1 0.91 1.45 .0399 2 0.91 1.58 .0400 3 0.91 1.45 .0401 1 0.91 1.43 .0402 1 0.91 1.39 .0403 1 0.91 1.40 .0404 2 0.91 1.45 .0405 1 0.91 1.37 .0406 1 0.91 1.44 .0407 1 0.91 1.44 .0408 3 0.91 1.70 .0409 2 0.91 1.70 .0410 2 0.91 1.38 .0411 3 0.91 1.45 .0412 2 0.91 1.36 .0413 2 0.91 1.40 .0414 2 0.91 1.37 .0415 2 0.91 1.44 .0416 2 0.91 1.60 .0417 3 0.91 1.58 .0418 2 0.91 1.48 .0419 2 0.91 1.47 .0420 3 0.91 1.42 .0421 3 0.91 1.39 .0422 3 0.91 1.54 .0423 3 0.91 1.46 .0424 2 0.91 1.41 .0425 1 0.91 1.43 .0426 1 0.91 1.45 .0427 2 0.91 1.37 .0428 2 0.91 1.54 .0429 1 0.91 1.44 .0430 2 0.91 1.47 .0431 3 0.91 1.49 .0432 3 0.91 1.47 .0433 1 0.91 1.65 .0434 1 0.91 1.45 .0435 2 0.91 1.52 .0436 3 0.91 1.50 .0437 3 0.91 1.64 .0438 1 0.91 1.44 .0439 1 0.91 1.48 .0440 1 0.91 1.45 .0441 1 0.91 1.51 .0442 1 0.91 1.54 .0443 1 0.91 1.42 .0444 1 0.91 1.49 .0445 1 0.91 1.44 .0446 1 0.91 1.48 .0447 1 0.91 1.42 .0448 2 0.91 1.49 .0449 3 0.91 1.40 .0450 1 0.91 1.53 .0451 1 0.91 1.41 .0452 1 0.91 1.39 .0453 1 0.91 1.45 .0454 3 0.91 1.42 .0455 1 0.91 1.41 .0456 1 0.91 1.44 .0457 4 0.91 1.35 .0458 4 0.91 1.56 .0459 2 0.91 1.43 .0460 2 0.91 1.50 .0461 1 0.91 1.47 .0462 1 0.91 1.55 .0463 1 0.91 1.56 .0464 2 0.91 1.60 .0465 2 0.91 1.45 .0466 2 0.91 1.53 .0467 1 0.91 1.40 .0468 1 0.91 1.45 .0469 2 0.91 1.46 .0470 1 0.91 1.41 .0471 2 0.91 1.47 .0472 1 0.91 1.47 .0473 1 0.91 1.35 .0474 1 0.91 1.45 .0475 1 0.91 1.60 .0476 2 0.91 1.51 .0477 1 0.91 1.77 .0478 1 0.91 1.75 .0479 1 0.91 1.49 .0480 1 0.91 1.55 .0481 1 0.91 1.48 .0482 1 0.91 1.51 .0483 2 0.91 1.48 .0484 1 0.91 1.46 .0485 1 0.91 1.49 .0486 2 0.91 1.42 .0487 2 0.91 1.73 .0488 2 0.91 1.61 .0489 5 0.91 1.53 .0490 4 0.91 1.53 .0491 3 0.91 1.55 .0492 4 0.91 1.55 .0493 1 0.91 1.44 .0494 1 0.91 1.35 .0495 2 0.91 1.43 .0496 1 0.91 1.39 .0497 1 0.91 1.41 .0498 1 0.91 1.36 .0499 2 0.91 1.57 .0500 3 0.91 1.57 .0501 1 0.91 1.46 .0502 1 0.91 1.32 .0503 2 0.91 1.47 .0504 1 0.91 1.40 .0505 1 0.91 1.47 .0506 2 0.91 1.50 .0507 2 0.91 1.47 .0508 3 0.91 1.52 .0509 1 0.91 1.33 .0510 2 0.91 1.42 .0511 1 0.91 1.34 .0512 1 0.91 1.34 .0513 1 0.91 1.47 .0514 2 0.91 1.44 .0515 4 0.91 1.43 .0516 1 0.91 1.34 .0517 1 0.91 1.62 .0518 2 0.91 1.42 .0519 2 0.91 1.45 .0520 1 0.91 1.41 .0521 1 0.91 1.47 .0522 1 0.91 1.40 .0523 2 0.91 1.44 .0524 1 0.91 1.39 .0525 1 0.91 1.42 .0526 1 0.91 1.39 .0527 1 0.91 1.50 .0528 1 0.91 1.39 .0529 1 0.91 1.51 .0530 2 0.91 1.47 .0531 2 0.91 1.48 .0532 1 0.91 1.44 .0533 1 0.91 1.42 .0534 1 0.91 1.42 .0535 1 0.91 1.43 .0536 1 0.91 1.40 .0537 3 0.91 1.47 .0538 2 0.91 1.45 .0539 2 0.91 1.51 .0540 1 0.91 1.48 .0541 1 0.91 1.46 .0542 1 0.91 1.38 .0543 1 0.91 1.41 .0544 2 0.91 1.46 .0545 2 0.91 1.43 .0546 1 0.91 1.42 .0547 1 0.91 1.43 .0548 1 0.91 1.47 .0549 1 0.91 1.46 .0550 1 0.91 1.40 .0551 1 0.91 1.42 .0552 2 0.91 1.44 .0553 2 0.91 1.47 .0554 3 0.91 1.47 .0555 2 0.91 1.57 .0556 3 0.91 1.46 .0557 2 0.91 1.50 .0558 2 0.91 1.53 .0559 2 0.91 1.37 .0560 1 0.91 1.55 .0561 1 0.91 1.42 .0562 1 0.91 1.41 .0563 3 0.91 1.52 .0564 2 0.91 1.54 .0565 1 0.91 1.46 .0566 3 0.91 1.49 .0567 3 0.91 1.43 .0568 2 0.91 1.53 .0569 1 0.91 1.49 .0570 1 0.91 1.44 .0571 1 0.91 1.49 .0572 3 0.91 1.50 .0573 2 0.91 1.52 .0574 1 0.91 1.43 .0575 1 0.91 1.44 .0576 1 0.91 1.44 .0577 1 0.91 1.35 .0578 1 0.91 1.44 .0579 1 0.91 1.45 .0580 1 0.91 1.52 .0581 1 0.91 1.46 .0582 2 0.91 1.39 .0583 1 0.91 1.44 .0584 1 0.91 1.45 .0585 1 0.91 1.52 .0586 1 0.91 1.49 .0587 4 0.91 1.43 .0588 1 0.91 1.45 .0589 1 0.91 1.53 .0590 1 0.91 1.40 .0591 1 0.91 1.42 .0592 1 0.91 1.43 .0593 1 0.91 1.46 .0594 2 0.91 1.49 .0595 3 0.91 1.44 .0596 1 0.91 1.38 .0597 1 0.91 1.40 .0598 1 0.91 1.34 .0599 1 0.91 1.44 .0600 1 0.91 1.29 .0601 3 0.91 1.50 .0602 1 0.91 1.45 .0603 1 0.91 1.38 .0604 1 0.91 1.40 .0605 3 0.91 1.45 .0606 1 0.91 1.43 .0607 1 0.91 1.41 .0608 1 0.91 1.43 .0609 1 0.91 1.41 .0610 3 0.91 1.34 .0611 1 0.91 1.40 .0612 2 0.91 1.63 .0613 2 0.91 1.48 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0.91 1.25 .1891 1 0.91 1.26 .1892 1 0.91 1.25 .1893 1 0.91 1.19 .1894 3 0.91 1.36 .1895 3 0.91 1.30 .1896 1 0.91 1.18 .1897 1 0.91 1.23 .1898 2 0.91 1.32 .1899 2 0.91 1.35 .1900 2 0.91 1.32 .1901 2 0.91 1.39 .1902 2 0.91 1.31 .1903 1 0.91 1.32 .1904 1 0.91 1.30 .1905 1 0.91 1.24 .1906 1 0.91 1.28 .1907 1 0.91 1.26 .1908 1 0.91 1.30 .1909 1 0.91 1.30 .1910 1 0.91 1.36 .1911 2 0.91 1.30 .1912 2 0.91 1.27 .1913 2 0.91 1.25 .1914 1 0.91 1.39 .1915 1 0.91 1.35 .1916 3 0.91 1.49 .1917 3 0.91 1.40 .1918 1 0.91 1.26 .1919 2 0.91 1.27 .1920 2 0.91 1.34 .1921 2 0.91 1.30 .1922 1 0.91 1.31 .1923 1 0.91 1.28 .1924 1 0.91 1.27 .1925 3 0.91 1.28 .1926 2 0.91 1.32 .1927 1 0.91 1.31 .1928 2 0.91 1.33 .1929 1 0.91 1.27 .1930 1 0.91 1.31 .1931 1 0.91 1.27 .1932 1 0.91 1.30 .1933 1 0.91 1.40 .1934 2 0.91 1.31 .1935 2 0.91 1.36 .1936 1 0.91 1.24 .1937 1 0.91 1.28 .1938 1 0.91 1.28 .1939 2 0.91 1.33 .1940 1 0.91 1.33 .1941 2 0.91 1.25 .1942 1 0.91 1.35 .1943 2 0.91 1.38 .1944 3 0.91 1.36 .1945 4 0.91 1.47 .1946 4 0.91 1.47 .1947 3 0.91 1.35 .1948 1 0.91 1.39 .1949 1 0.91 1.37 .1950 2 0.91 1.18 .1951 2 0.91 1.35 .1952 2 0.91 1.30 .1953 2 0.91 1.36 .1954 2 0.91 1.42 .1955 1 0.91 1.23 .1956 2 0.91 1.38 .1957 1 0.91 1.25 .1958 1 0.91 1.30 .1959 1 0.91 1.29 .1960 1 0.91 1.34 .1961 1 0.91 1.33 .1962 1 0.91 1.28 .1963 1 0.91 1.23 .1964 1 0.91 1.23 .1965 1 0.91 1.32 .1966 2 0.91 1.34 .1967 3 0.91 1.25 .1968 3 0.91 1.33 .1969 2 0.91 1.33 .1970 2 0.91 1.30 .1971 3 0.91 1.25 .1972 3 0.91 1.27 .1973 2 0.91 1.28 .1974 1 0.91 1.21 .1975 3 0.91 1.28 .1976 1 0.91 1.26 .1977 1 0.91 1.18 .1978 1 0.91 1.23 .1979 2 0.91 1.28 .1980 2 0.92 1.26 .1981 2 0.92 1.24 .1982 1 0.92 1.21 .1983 1 0.92 1.27 .1984 1 0.92 1.19 .1985 1 0.92 1.22 .1986 3 0.92 1.26 .1987 3 0.92 1.25 .1988 2 0.92 1.25 .1989 2 0.92 1.22 .1990 2 0.92 1.35 .1991 3 0.92 1.30 .1992 3 0.92 1.24 .1993 3 0.92 1.36 .1994 2 0.92 1.25 .1995 1 0.92 1.33 .1996 1 0.92 1.33 .1997 1 0.92 1.22 .1998 1 0.92 1.34 .1999 1 0.92 1.27 .2000 3 0.92 1.30 .2001 1 0.92 1.37 .2002 2 0.92 1.29 .2003 3 0.92 1.25 .2004 1 0.92 1.18 .2005 3 0.92 1.25 .2006 2 0.92 1.31 .2007 3 0.92 1.32 .2008 2 0.92 1.39 .2009 1 0.92 1.25 .2010 1 0.92 1.24 .2011 1 0.92 1.19 .2012 1 0.92 1.33 .2013 1 0.92 1.24 .2014 1 0.92 1.24 .2015 1 0.92 1.22 .2016 2 0.92 1.35 .2017 2 0.92 1.36 .2018 1 0.92 1.26 .2019 3 0.92 1.26 .2020 3 0.92 1.21 .2021 1 0.92 1.27 .2022 1 0.92 1.22 .2023 1 0.92 1.19 .2024 1 0.92 1.21 .2025 3 0.92 1.26 .2026 3 0.92 1.23 .2027 3 0.92 1.25 .2028 2 0.92 1.14 .2029 3 0.92 1.22 .2030 4 0.92 1.23 .2031 3 0.92 1.29 .2032 3 0.92 1.17 .2033 1 0.92 1.20 .2034 3 0.92 1.23 .2035 3 0.92 1.19 .2036 3 0.92 1.36 .2037 4 0.92 1.23 .2038 4 0.92 1.18 .2039 3 0.92 1.25 .2040 2 0.92 1.31 .2041 3 0.92 1.18 .2042 3 0.92 1.18 .2043 2 0.92 1.19 .2044 2 0.92 1.28 .2045 2 0.92 1.18 .2046 2 0.92 1.17 .2047 1 0.92 1.23 EXTRACT_IMAGE: sdR-b2-00034675.fit: masked 1769 pixels EXTRACT_OBJECT: sdR-b2-00034675.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034675.fit: Scattered light median = 1.13883 electrons QAPLOT_SCATLIGHT: sdR-b2-00034675.fit: Scattered light max = 17.0912 electrons EXTRACT_OBJECT: sdR-b2-00034675.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.90 1.80 .0001 2 0.90 1.60 .0002 2 0.90 1.47 .0003 1 0.90 1.45 .0004 1 0.90 1.44 .0005 1 0.90 1.46 .0006 2 0.90 1.38 .0007 1 0.90 1.37 .0008 2 0.90 1.46 .0009 1 0.90 1.48 .0010 3 0.90 1.39 .0011 2 0.90 1.36 .0012 1 0.90 1.48 .0013 1 0.90 1.36 .0014 2 0.90 1.29 .0015 1 0.90 1.38 .0016 1 0.90 1.41 .0017 2 0.90 1.35 .0018 1 0.90 1.35 .0019 2 0.90 1.28 .0020 1 0.90 1.26 .0021 1 0.90 1.34 .0022 1 0.90 1.27 .0023 1 0.90 1.32 .0024 1 0.90 1.23 .0025 1 0.90 1.31 .0026 3 0.90 1.26 .0027 1 0.90 1.30 .0028 3 0.90 1.25 .0029 3 0.90 1.20 .0030 4 0.90 1.25 .0031 5 0.91 1.19 .0032 4 0.91 1.18 .0033 3 0.91 1.16 .0034 4 0.91 1.23 .0035 3 0.91 1.24 .0036 1 0.91 1.20 .0037 1 0.91 1.14 .0038 4 0.91 1.18 .0039 2 0.91 1.17 .0040 3 0.91 1.20 .0041 2 0.91 1.24 .0042 4 0.91 1.18 .0043 3 0.91 1.18 .0044 1 0.91 1.16 .0045 2 0.91 1.22 .0046 5 0.91 1.19 .0047 1 0.91 1.12 .0048 1 0.91 1.11 .0049 1 0.91 1.17 .0050 1 0.91 1.18 .0051 1 0.91 1.10 .0052 1 0.91 1.16 .0053 2 0.91 1.12 .0054 1 0.91 1.14 .0055 1 0.91 1.06 .0056 1 0.91 1.12 .0057 2 0.91 1.10 .0058 1 0.91 1.05 .0059 1 0.91 1.07 .0060 1 0.91 1.02 .0061 1 0.91 1.12 .0062 5 0.91 1.05 .0063 5 0.91 1.14 .0064 1 0.91 1.11 .0065 1 0.91 1.21 .0066 1 0.91 1.10 .0067 1 0.91 1.09 .0068 1 0.91 1.07 .0069 1 0.91 1.14 .0070 1 0.91 1.12 .0071 1 0.91 1.08 .0072 2 0.91 1.08 .0073 1 0.91 1.12 .0074 1 0.91 1.12 .0075 1 0.91 1.13 .0076 1 0.91 1.16 .0077 2 0.91 1.16 .0078 2 0.91 1.16 .0079 1 0.91 1.12 .0080 1 0.91 1.21 .0081 1 0.91 1.14 .0082 1 0.91 1.18 .0083 3 0.91 1.11 .0084 3 0.91 1.20 .0085 2 0.91 1.16 .0086 2 0.91 1.23 .0087 4 0.91 1.25 .0088 1 0.91 1.21 .0089 1 0.91 1.14 .0090 2 0.91 1.18 .0091 3 0.91 1.23 .0092 2 0.91 1.25 .0093 1 0.90 1.24 .0094 1 0.90 1.20 .0095 1 0.90 1.31 .0096 1 0.90 1.24 .0097 1 0.90 1.27 .0098 3 0.90 1.14 .0099 1 0.90 1.23 .0100 1 0.90 1.29 .0101 1 0.90 1.29 .0102 1 0.90 1.23 .0103 1 0.90 1.29 .0104 1 0.90 1.31 .0105 2 0.90 1.35 .0106 1 0.90 1.29 .0107 3 0.90 1.17 .0108 1 0.90 1.24 .0109 1 0.90 1.24 .0110 1 0.90 1.31 .0111 1 0.90 1.26 .0112 2 0.90 1.20 .0113 2 0.90 1.29 .0114 1 0.90 1.26 .0115 1 0.90 1.30 .0116 2 0.90 1.25 .0117 2 0.90 1.28 .0118 1 0.90 1.27 .0119 3 0.90 1.33 .0120 3 0.90 1.30 .0121 4 0.91 1.28 .0122 1 0.91 1.30 .0123 4 0.91 1.29 .0124 1 0.91 1.40 .0125 2 0.91 1.27 .0126 3 0.91 1.31 .0127 4 0.91 1.32 .0128 3 0.91 1.32 .0129 3 0.91 1.28 .0130 1 0.91 1.25 .0131 1 0.91 1.30 .0132 1 0.91 1.32 .0133 1 0.91 1.24 .0134 2 0.91 1.25 .0135 3 0.91 1.36 .0136 2 0.91 1.25 .0137 3 0.91 1.43 .0138 1 0.91 1.31 .0139 3 0.91 1.26 .0140 5 0.91 1.28 .0141 1 0.91 1.19 .0142 1 0.91 1.26 .0143 1 0.91 1.29 .0144 2 0.91 1.27 .0145 1 0.91 1.31 .0146 3 0.91 1.30 .0147 3 0.91 1.31 .0148 4 0.91 1.26 .0149 1 0.91 1.33 .0150 2 0.91 1.27 .0151 1 0.91 1.37 .0152 3 0.91 1.32 .0153 3 0.91 1.21 .0154 1 0.91 1.21 .0155 1 0.91 1.33 .0156 1 0.91 1.36 .0157 4 0.91 1.30 .0158 1 0.91 1.28 .0159 1 0.91 1.25 .0160 2 0.91 1.37 .0161 3 0.91 1.43 .0162 1 0.91 1.31 .0163 2 0.91 1.28 .0164 1 0.91 1.31 .0165 2 0.91 1.27 .0166 2 0.91 1.39 .0167 2 0.91 1.26 .0168 1 0.91 1.33 .0169 1 0.91 1.23 .0170 1 0.91 1.29 .0171 1 0.91 1.30 .0172 1 0.91 1.23 .0173 4 0.91 1.28 .0174 4 0.91 1.34 .0175 5 0.91 1.25 .0176 1 0.91 1.22 .0177 2 0.91 1.31 .0178 1 0.91 1.24 .0179 1 0.91 1.33 .0180 1 0.91 1.23 .0181 2 0.91 1.29 .0182 1 0.91 1.34 .0183 1 0.91 1.29 .0184 1 0.91 1.31 .0185 1 0.91 1.30 .0186 5 0.91 1.35 .0187 2 0.91 1.33 .0188 1 0.91 1.27 .0189 2 0.91 1.30 .0190 1 0.91 1.28 .0191 2 0.91 1.24 .0192 2 0.91 1.29 .0193 2 0.91 1.41 .0194 5 0.91 1.27 .0195 3 0.91 1.28 .0196 1 0.91 1.28 .0197 1 0.91 1.26 .0198 1 0.91 1.23 .0199 1 0.91 1.31 .0200 5 0.91 1.25 .0201 6 0.91 1.35 .0202 4 0.91 1.35 .0203 2 0.91 1.31 .0204 1 0.91 1.31 .0205 2 0.91 1.27 .0206 1 0.91 1.32 .0207 1 0.91 1.28 .0208 1 0.91 1.32 .0209 1 0.91 1.41 .0210 1 0.91 1.28 .0211 3 0.91 1.35 .0212 2 0.91 1.26 .0213 1 0.91 1.32 .0214 3 0.91 1.26 .0215 3 0.91 1.25 .0216 2 0.91 1.27 .0217 2 0.91 1.28 .0218 1 0.91 1.32 .0219 1 0.91 1.36 .0220 2 0.91 1.33 .0221 1 0.91 1.37 .0222 1 0.91 1.26 .0223 1 0.91 1.32 .0224 1 0.91 1.34 .0225 2 0.91 1.28 .0226 1 0.91 1.26 .0227 1 0.91 1.36 .0228 1 0.91 1.31 .0229 1 0.91 1.26 .0230 1 0.91 1.30 .0231 1 0.91 1.37 .0232 1 0.91 1.30 .0233 3 0.91 1.35 .0234 3 0.91 1.39 .0235 1 0.91 1.39 .0236 1 0.91 1.24 .0237 1 0.91 1.31 .0238 1 0.91 1.30 .0239 2 0.91 1.36 .0240 2 0.91 1.31 .0241 2 0.91 1.32 .0242 1 0.91 1.38 .0243 3 0.91 1.31 .0244 1 0.91 1.38 .0245 2 0.91 1.32 .0246 2 0.91 1.33 .0247 1 0.91 1.36 .0248 3 0.91 1.29 .0249 4 0.91 1.24 .0250 3 0.91 1.27 .0251 1 0.91 1.34 .0252 1 0.91 1.33 .0253 1 0.91 1.26 .0254 1 0.91 1.31 .0255 1 0.91 1.34 .0256 1 0.91 1.29 .0257 5 0.91 1.34 .0258 2 0.91 1.24 .0259 1 0.91 1.27 .0260 3 0.91 1.31 .0261 1 0.91 1.31 .0262 4 0.91 1.34 .0263 4 0.91 1.36 .0264 1 0.91 1.25 .0265 1 0.91 1.37 .0266 2 0.91 1.25 .0267 2 0.91 1.24 .0268 3 0.91 1.31 .0269 1 0.91 1.30 .0270 4 0.91 1.29 .0271 1 0.91 1.43 .0272 1 0.91 1.33 .0273 1 0.91 1.42 .0274 1 0.91 1.29 .0275 2 0.91 1.38 .0276 1 0.91 1.33 .0277 1 0.91 1.38 .0278 1 0.91 1.35 .0279 1 0.91 1.44 .0280 1 0.91 1.39 .0281 1 0.91 1.38 .0282 2 0.91 1.41 .0283 1 0.91 1.34 .0284 2 0.91 1.32 .0285 3 0.91 1.34 .0286 1 0.91 1.42 .0287 3 0.91 1.39 .0288 2 0.91 1.32 .0289 1 0.91 1.34 .0290 1 0.91 1.43 .0291 1 0.91 1.43 .0292 1 0.91 1.40 .0293 3 0.91 1.42 .0294 2 0.91 1.37 .0295 1 0.91 1.39 .0296 1 0.91 1.45 .0297 3 0.91 1.34 .0298 4 0.91 1.37 .0299 2 0.91 1.32 .0300 1 0.91 1.41 .0301 2 0.91 1.41 .0302 3 0.91 1.36 .0303 1 0.91 1.35 .0304 1 0.91 1.41 .0305 1 0.91 1.37 .0306 1 0.91 1.41 .0307 3 0.91 1.40 .0308 1 0.91 1.34 .0309 2 0.91 1.38 .0310 1 0.91 1.47 .0311 1 0.91 1.33 .0312 3 0.91 1.41 .0313 1 0.91 1.40 .0314 1 0.91 1.46 .0315 1 0.91 1.43 .0316 3 0.91 1.38 .0317 5 0.91 1.43 .0318 3 0.91 1.45 .0319 3 0.91 1.39 .0320 2 0.91 1.52 .0321 1 0.91 1.38 .0322 1 0.91 1.39 .0323 1 0.91 1.42 .0324 1 0.91 1.44 .0325 1 0.91 1.35 .0326 1 0.91 1.46 .0327 2 0.91 1.39 .0328 4 0.91 1.43 .0329 4 0.91 1.46 .0330 4 0.91 1.45 .0331 1 0.91 1.42 .0332 1 0.91 1.37 .0333 3 0.91 1.36 .0334 1 0.91 1.48 .0335 2 0.91 1.51 .0336 1 0.91 1.52 .0337 1 0.91 1.48 .0338 1 0.91 1.50 .0339 2 0.91 1.54 .0340 3 0.91 1.49 .0341 2 0.91 1.50 .0342 3 0.91 1.55 .0343 1 0.91 1.48 .0344 1 0.91 1.49 .0345 1 0.91 1.49 .0346 1 0.91 1.52 .0347 1 0.91 1.49 .0348 1 0.91 1.53 .0349 3 0.91 1.47 .0350 2 0.91 1.42 .0351 1 0.91 1.47 .0352 1 0.91 1.54 .0353 1 0.91 1.58 .0354 1 0.91 1.51 .0355 2 0.91 1.48 .0356 2 0.91 1.55 .0357 2 0.91 1.57 .0358 3 0.91 1.61 .0359 2 0.91 1.58 .0360 3 0.91 1.55 .0361 2 0.91 1.51 .0362 2 0.91 1.49 .0363 2 0.91 1.47 .0364 1 0.91 1.50 .0365 1 0.91 1.49 .0366 3 0.91 1.40 .0367 1 0.91 1.45 .0368 1 0.91 1.40 .0369 2 0.91 1.42 .0370 1 0.91 1.45 .0371 4 0.91 1.38 .0372 2 0.91 1.58 .0373 1 0.91 1.40 .0374 1 0.91 1.50 .0375 1 0.91 1.45 .0376 2 0.91 1.45 .0377 2 0.91 1.49 .0378 1 0.91 1.57 .0379 1 0.91 1.42 .0380 4 0.91 1.45 .0381 1 0.91 1.49 .0382 3 0.91 1.49 .0383 4 0.91 1.48 .0384 1 0.91 1.53 .0385 1 0.91 1.45 .0386 1 0.91 1.52 .0387 1 0.91 1.48 .0388 1 0.91 1.54 .0389 4 0.91 1.56 .0390 3 0.91 1.51 .0391 2 0.91 1.37 .0392 4 0.91 1.49 .0393 3 0.91 1.54 .0394 3 0.91 1.51 .0395 1 0.91 1.52 .0396 2 0.91 1.52 .0397 1 0.91 1.51 .0398 1 0.91 1.53 .0399 5 0.91 1.52 .0400 3 0.91 1.51 .0401 1 0.91 1.49 .0402 1 0.91 1.50 .0403 1 0.91 1.47 .0404 2 0.91 1.47 .0405 1 0.91 1.40 .0406 1 0.91 1.47 .0407 2 0.91 1.42 .0408 4 0.91 1.59 .0409 2 0.91 1.79 .0410 2 0.91 1.47 .0411 3 0.91 1.56 .0412 3 0.91 1.41 .0413 2 0.91 1.51 .0414 2 0.91 1.44 .0415 2 0.91 1.47 .0416 3 0.91 1.52 .0417 4 0.91 1.49 .0418 3 0.91 1.52 .0419 2 0.91 1.52 .0420 3 0.91 1.51 .0421 3 0.91 1.48 .0422 3 0.91 1.57 .0423 3 0.91 1.50 .0424 3 0.91 1.46 .0425 2 0.91 1.47 .0426 1 0.91 1.47 .0427 2 0.91 1.43 .0428 2 0.91 1.57 .0429 1 0.91 1.51 .0430 2 0.91 1.55 .0431 3 0.91 1.59 .0432 3 0.91 1.53 .0433 1 0.91 1.66 .0434 1 0.91 1.50 .0435 2 0.91 1.59 .0436 3 0.91 1.61 .0437 5 0.91 1.64 .0438 1 0.91 1.51 .0439 1 0.91 1.55 .0440 1 0.91 1.51 .0441 1 0.91 1.57 .0442 1 0.91 1.58 .0443 1 0.91 1.44 .0444 1 0.91 1.53 .0445 1 0.91 1.44 .0446 1 0.91 1.48 .0447 1 0.91 1.48 .0448 3 0.91 1.55 .0449 3 0.91 1.47 .0450 1 0.91 1.58 .0451 1 0.91 1.46 .0452 1 0.91 1.47 .0453 1 0.91 1.46 .0454 3 0.91 1.49 .0455 1 0.91 1.43 .0456 1 0.91 1.51 .0457 4 0.91 1.44 .0458 5 0.91 1.56 .0459 2 0.91 1.48 .0460 2 0.91 1.52 .0461 1 0.91 1.57 .0462 1 0.91 1.60 .0463 1 0.91 1.56 .0464 2 0.91 1.60 .0465 2 0.91 1.48 .0466 2 0.91 1.56 .0467 1 0.91 1.46 .0468 1 0.91 1.48 .0469 3 0.91 1.45 .0470 1 0.91 1.45 .0471 2 0.91 1.51 .0472 2 0.91 1.46 .0473 1 0.91 1.47 .0474 1 0.91 1.67 .0475 1 0.91 1.89 .0476 2 0.91 1.73 .0477 2 0.91 1.79 .0478 2 0.91 1.79 .0479 1 0.91 1.65 .0480 1 0.91 1.63 .0481 1 0.91 1.63 .0482 1 0.91 1.59 .0483 2 0.91 1.57 .0484 1 0.91 1.54 .0485 1 0.91 1.55 .0486 2 0.91 1.47 .0487 2 0.91 1.55 .0488 2 0.91 1.57 .0489 3 0.91 1.53 .0490 4 0.91 1.62 .0491 4 0.91 1.52 .0492 3 0.91 1.60 .0493 1 0.91 1.54 .0494 1 0.91 1.45 .0495 2 0.91 1.48 .0496 1 0.91 1.48 .0497 1 0.91 1.44 .0498 1 0.91 1.46 .0499 3 0.91 1.52 .0500 3 0.91 1.65 .0501 1 0.91 1.52 .0502 1 0.91 1.39 .0503 2 0.91 1.48 .0504 1 0.91 1.46 .0505 1 0.91 1.53 .0506 2 0.91 1.50 .0507 3 0.91 1.45 .0508 3 0.91 1.53 .0509 1 0.91 1.41 .0510 2 0.91 1.50 .0511 1 0.91 1.43 .0512 1 0.91 1.42 .0513 1 0.91 1.52 .0514 2 0.91 1.49 .0515 4 0.91 1.46 .0516 1 0.91 1.38 .0517 3 0.91 1.51 .0518 2 0.91 1.47 .0519 2 0.91 1.49 .0520 1 0.91 1.45 .0521 2 0.91 1.50 .0522 1 0.91 1.46 .0523 2 0.91 1.45 .0524 1 0.91 1.46 .0525 1 0.91 1.51 .0526 1 0.91 1.46 .0527 1 0.91 1.53 .0528 2 0.91 1.41 .0529 2 0.91 1.47 .0530 2 0.91 1.48 .0531 3 0.91 1.53 .0532 1 0.91 1.46 .0533 1 0.91 1.46 .0534 1 0.91 1.46 .0535 1 0.91 1.48 .0536 1 0.91 1.48 .0537 2 0.91 1.53 .0538 2 0.91 1.50 .0539 2 0.91 1.55 .0540 1 0.91 1.53 .0541 1 0.91 1.47 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0.90 1.40 .1819 1 0.90 1.36 .1820 1 0.90 1.49 .1821 1 0.90 1.39 .1822 1 0.90 1.46 .1823 1 0.90 1.39 .1824 1 0.90 1.43 .1825 1 0.90 1.43 .1826 1 0.90 1.46 .1827 2 0.90 1.43 .1828 4 0.90 1.45 .1829 1 0.90 1.37 .1830 1 0.90 1.48 .1831 1 0.90 1.42 .1832 1 0.90 1.41 .1833 1 0.90 1.47 .1834 2 0.90 1.44 .1835 1 0.90 1.44 .1836 1 0.90 1.39 .1837 1 0.90 1.42 .1838 2 0.90 1.48 .1839 3 0.90 1.46 .1840 1 0.90 1.51 .1841 1 0.90 1.39 .1842 1 0.90 1.48 .1843 1 0.90 1.45 .1844 1 0.90 1.45 .1845 2 0.90 1.46 .1846 3 0.90 1.48 .1847 3 0.90 1.51 .1848 5 0.90 1.50 .1849 3 0.90 1.49 .1850 1 0.90 1.45 .1851 3 0.90 1.52 .1852 2 0.90 1.40 .1853 4 0.90 1.42 .1854 3 0.90 1.45 .1855 1 0.90 1.38 .1856 1 0.90 1.43 .1857 1 0.90 1.31 .1858 1 0.90 1.52 .1859 1 0.90 1.50 .1860 1 0.90 1.42 .1861 2 0.90 1.40 .1862 2 0.90 1.46 .1863 1 0.90 1.52 .1864 3 0.91 1.46 .1865 2 0.91 1.42 .1866 4 0.91 1.42 .1867 2 0.91 1.58 .1868 1 0.91 1.37 .1869 1 0.91 1.49 .1870 1 0.91 1.43 .1871 1 0.91 1.50 .1872 3 0.91 1.35 .1873 4 0.91 1.43 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0.91 1.30 .1930 1 0.91 1.35 .1931 1 0.91 1.32 .1932 1 0.91 1.34 .1933 2 0.91 1.33 .1934 2 0.91 1.34 .1935 2 0.91 1.39 .1936 1 0.91 1.32 .1937 1 0.91 1.32 .1938 1 0.91 1.32 .1939 2 0.91 1.36 .1940 1 0.91 1.38 .1941 2 0.91 1.31 .1942 1 0.91 1.42 .1943 2 0.91 1.38 .1944 4 0.91 1.33 .1945 4 0.91 1.43 .1946 4 0.91 1.48 .1947 4 0.91 1.41 .1948 3 0.91 1.38 .1949 1 0.91 1.41 .1950 5 0.91 1.21 .1951 3 0.91 1.41 .1952 2 0.91 1.34 .1953 2 0.91 1.38 .1954 2 0.91 1.40 .1955 1 0.91 1.26 .1956 4 0.91 1.35 .1957 1 0.91 1.28 .1958 1 0.91 1.32 .1959 1 0.91 1.34 .1960 1 0.91 1.34 .1961 1 0.91 1.31 .1962 1 0.91 1.29 .1963 1 0.91 1.25 .1964 1 0.91 1.23 .1965 1 0.91 1.34 .1966 2 0.91 1.35 .1967 2 0.91 1.27 .1968 2 0.91 1.32 .1969 2 0.91 1.32 .1970 2 0.91 1.33 .1971 3 0.91 1.22 .1972 3 0.91 1.28 .1973 2 0.91 1.31 .1974 1 0.91 1.24 .1975 3 0.91 1.30 .1976 1 0.91 1.35 .1977 1 0.91 1.24 .1978 1 0.91 1.28 .1979 3 0.91 1.31 .1980 2 0.92 1.30 .1981 2 0.92 1.27 .1982 1 0.92 1.30 .1983 1 0.92 1.31 .1984 1 0.92 1.24 .1985 1 0.92 1.26 .1986 4 0.92 1.27 .1987 4 0.92 1.30 .1988 3 0.92 1.21 .1989 2 0.92 1.25 .1990 3 0.92 1.25 .1991 3 0.92 1.32 .1992 4 0.92 1.27 .1993 3 0.92 1.36 .1994 2 0.92 1.31 .1995 1 0.92 1.41 .1996 1 0.92 1.38 .1997 1 0.92 1.27 .1998 1 0.92 1.39 .1999 1 0.92 1.34 .2000 3 0.92 1.37 .2001 1 0.92 1.42 .2002 2 0.92 1.31 .2003 3 0.92 1.31 .2004 1 0.92 1.24 .2005 2 0.92 1.28 .2006 2 0.92 1.35 .2007 4 0.92 1.35 .2008 3 0.92 1.29 .2009 1 0.92 1.30 .2010 1 0.92 1.28 .2011 1 0.92 1.19 .2012 1 0.92 1.35 .2013 1 0.92 1.32 .2014 1 0.92 1.32 .2015 1 0.92 1.31 .2016 3 0.92 1.28 .2017 3 0.92 1.32 .2018 1 0.92 1.28 .2019 4 0.92 1.28 .2020 3 0.92 1.20 .2021 1 0.92 1.31 .2022 1 0.92 1.26 .2023 1 0.92 1.21 .2024 1 0.92 1.23 .2025 3 0.92 1.22 .2026 3 0.92 1.23 .2027 4 0.92 1.26 .2028 2 0.92 1.19 .2029 3 0.92 1.25 .2030 4 0.92 1.29 .2031 3 0.92 1.27 .2032 3 0.92 1.16 .2033 1 0.92 1.22 .2034 4 0.92 1.22 .2035 3 0.92 1.21 .2036 3 0.92 1.22 .2037 4 0.92 1.25 .2038 4 0.92 1.21 .2039 4 0.92 1.24 .2040 3 0.92 1.22 .2041 3 0.92 1.24 .2042 3 0.92 1.23 .2043 2 0.92 1.28 .2044 2 0.92 1.31 .2045 2 0.92 1.25 .2046 2 0.92 1.22 .2047 1 0.92 1.31 EXTRACT_IMAGE: sdR-b2-00034675.fit: masked 2414 pixels DIVIDEFLAT: sdR-b2-00034675.fit: Warning: Reject 207 low points in trace 22 DIVIDEFLAT: sdR-b2-00034675.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034675.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034675.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034675.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034675.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034675.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034675.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034675.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034675.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034675.fit: sky shift reference line, offset: 5577.3390 -0.070730482 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 0 0.24794232 54.400421 -0.66710981 1.0446058 80.870005 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 6 1.0426516 53.627582 -0.85636633 0.60000000 73.032046 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 13 1.6418799 52.869482 -0.61917582 0.60000000 63.900553 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 18 2.0816220 53.253415 -0.58660376 0.60000000 63.390905 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 26 0.57769122 63.942709 0.27007679 0.60000000 33.803038 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 52 0.95780281 49.122765 -0.56585391 0.96148750 69.058599 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 60 0.93616824 57.054272 -0.30652732 0.64258978 52.774929 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 63 0.90732534 62.776179 0.19273986 0.60000000 48.829733 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 82 1.1315779 47.934585 -0.052019867 0.60000000 40.699253 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 84 1.0221467 44.849807 -0.70420768 0.60000000 67.892395 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 109 0.97171750 55.602836 -0.23985409 0.60000000 61.260329 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 114 0.93644421 53.699394 -0.46598886 0.89883570 54.987121 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 131 0.59206314 49.873476 -1.0000000 2.0000000 27.629426 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 153 0.57521690 51.127669 -0.26224833 1.1015251 33.019095 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 176 0.79560147 59.261261 -0.69523786 1.0044449 65.077439 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 180 4.5363629 60.370207 -0.12779568 0.87580888 47.106366 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 184 1.4614642 60.508544 0.29063143 1.2949717 27.662701 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 185 0.41796133 64.729903 -1.0000000 1.1960872 33.564729 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 186 0.44822155 62.853569 -0.45232917 0.65546346 72.704962 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 201 2.0852862 48.592012 -1.0000000 1.0138783 51.154272 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 204 0.17774201 44.232802 -0.71973575 0.68657969 60.489226 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 206 0.60393671 29.351743 -0.26773678 2.0000000 48.247371 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 213 0.28111807 52.315677 -1.0000000 0.60000000 55.805865 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 235 1.0701155 53.063970 -0.53602494 0.60000000 44.215906 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 257 1.0083966 57.236180 0.38376607 0.60000000 27.062838 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 259 0.72984022 70.806291 -0.57131727 0.60000000 63.014693 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 260 1.0572173 52.947581 0.11222621 0.96560654 42.010098 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 261 0.64619900 64.359014 -0.58216724 0.60000000 47.590167 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 265 0.33870607 43.997210 -0.54864518 1.2097328 49.408913 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 271 2.6165793 46.043421 -0.30523626 0.97699171 72.177954 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 276 1.9276079 48.347739 -0.51043051 0.60000000 66.780075 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 281 0.56447102 57.448384 -0.23719227 0.66754988 39.313512 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 284 0.23214941 52.453162 -0.27786514 1.1274145 48.088900 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 307 1.2697593 41.801445 -0.67460229 1.0229690 44.631976 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 0 308 0.75951204 58.919564 -0.066351066 0.60228608 77.692155 LOCATESKYLINES_2: sdR-b2-00034675.fit: trimmed 1high points: 0.99158556 LOCATESKYLINES_2: sdR-b2-00034675.fit: comb1 l,chi^2/dof,fit: 0 0.38102174 0.0045435347 -0.41787244 0.93495281 0.92824422 LOCATESKYLINES_2: sdR-b2-00034675.fit: kept 152 of 152 points LOCATESKYLINES_2: sdR-b2-00034675.fit: offset, refoff, sigma: -0.488603-0.4178720.065220 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 0 0.97544336 82.347331 -0.20692450 1.2493337 191.35211 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 6 2.3932022 82.864803 -0.33157658 1.1358790 236.43002 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 13 3.0523071 73.252351 -0.088276643 1.1554710 236.30046 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 18 1.1752272 92.402881 -0.10814734 1.0454782 174.06112 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 26 0.72074873 91.102218 -0.22447143 1.2891997 213.83982 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 52 1.6429018 74.719481 -0.31024321 1.2520491 201.75908 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 60 1.5070233 89.916912 -0.24766792 1.1103436 196.03142 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 63 0.72312155 77.104002 -0.12191456 1.0111787 234.63650 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 82 2.2271484 69.016749 -0.21763994 1.1736268 214.02088 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 84 1.2324068 61.545578 -0.17698660 1.1510973 268.08115 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 109 0.57307681 86.006004 -0.018530112 1.1536489 200.55919 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 114 2.4496076 84.466985 0.13285609 0.90149539 216.88396 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 131 0.84658260 89.089199 -0.16329946 1.1616149 168.53828 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 153 2.2885952 92.486170 -0.050582794 1.2091609 237.89267 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 176 0.64906967 102.89102 -0.23920427 1.0152729 207.42136 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 180 0.89576204 82.013075 -0.22827712 1.1888468 194.29220 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 184 1.3292646 82.260787 -0.13021198 1.0282822 244.13119 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 185 0.35851695 93.845965 -0.11646117 1.1235729 205.23857 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 186 1.5138004 97.765508 -0.17732588 1.0553875 192.67408 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 201 1.0280530 89.405903 -0.19298160 1.0229684 232.16620 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 204 1.2914987 85.334136 -0.10022021 1.1965226 160.72665 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 206 1.2625643 91.229568 -0.021104073 1.1200534 200.23753 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 213 1.1506589 88.201691 0.053525212 1.1091944 201.76523 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 235 3.0273168 68.321705 -0.30505142 1.4544181 204.02350 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 257 0.48681626 81.072252 -0.14158264 1.2636084 205.70059 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 259 1.2579840 83.232502 -0.16918783 1.0678689 221.92256 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 260 1.8395385 77.905781 0.029763798 1.1986766 218.03557 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 261 0.92501208 101.96112 -0.14946832 0.86320522 248.85991 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 265 0.65858973 97.305664 -0.15726783 0.91988287 231.66413 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 271 1.0896470 70.933956 -0.21115243 1.2104108 196.70731 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 276 1.0273969 92.817746 0.0018270892 0.91098918 212.28619 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 281 1.7118839 72.380249 -0.15497321 1.3359200 186.47152 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 1 284 0.67720001 61.890254 -0.13873999 1.5208791 193.16569 LOCATESKYLINES_2: 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0.10566910 0.99169591 463.76709 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 18 1.2536001 142.27919 0.060974608 1.1283991 442.46845 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 26 1.1016471 183.74457 0.070311245 0.96193419 496.09963 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 52 0.67774551 150.01547 -0.042277285 1.1942692 401.89036 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 60 1.7994604 157.97845 0.015889523 1.0581898 447.13233 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 63 2.5068675 161.76187 0.023141414 1.1088961 437.72936 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 82 3.0683005 148.12996 0.034862598 1.0864162 480.76373 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 84 2.0476044 144.58161 -0.049496223 1.1151796 433.26856 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 109 1.5162390 176.42872 -0.047019546 0.97579474 471.33080 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 114 0.24762249 141.91339 -0.067628065 1.1785056 460.19915 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 131 0.54262082 170.11591 -0.0064231139 1.0860827 397.69935 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 153 3.5487696 157.11561 0.012976751 1.0408445 491.16149 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 176 0.74312136 173.99150 -0.018157714 0.98063739 483.49552 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 180 1.8882121 165.66012 0.0014223938 1.0146004 480.91603 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 184 1.3690834 168.92080 0.042539392 1.0550907 454.02141 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 185 1.1618734 185.82876 0.019694675 0.94488746 443.06369 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 186 1.1826059 166.38955 0.081000379 1.0853063 455.91235 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 201 2.2714666 168.03569 0.093308053 0.99033588 443.74106 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 204 0.76545220 175.42323 0.0084336696 1.0821633 449.15258 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 206 1.3325142 154.18290 0.036322185 1.0300487 464.13217 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 213 1.3173787 169.99808 0.0026451048 1.0979483 432.01425 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 235 0.95447231 168.01498 0.018484729 1.0894358 405.19034 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 257 0.16065492 161.32542 0.027339035 0.99933205 455.72073 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 259 1.2578675 151.08850 -0.052975910 1.1793705 451.54848 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 260 0.72555794 161.19181 0.028158507 1.0446682 458.34612 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 261 0.83787150 170.91300 -0.013033750 1.1096612 448.25364 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 265 0.15893354 165.19536 0.032477733 1.0421898 444.48002 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 271 1.6870204 150.45541 -0.088521921 1.2292931 417.51131 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 276 3.1165827 171.35935 -0.0075350782 1.0138418 467.35685 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 281 0.87365069 153.16732 -0.10318302 1.0084543 460.06480 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 284 1.2095079 158.35852 -0.0023989212 1.0635292 463.83099 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 307 1.0848778 152.24577 -0.10036924 1.2367299 456.64878 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 2 308 1.0113610 160.77281 0.059975517 1.2155927 470.78394 LOCATESKYLINES_2: sdR-b2-00034675.fit: comb1 l,chi^2/dof,fit: 2 1.2395853 0.0018593335 0.0073957548 1.0590396 0.99636055 LOCATESKYLINES_2: sdR-b2-00034675.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034675.fit: offset, refoff, sigma: -0.0633350.0073960.009595 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 0 5.1476731 161.57759 -0.055353589 0.90895682 2013.6359 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 6 6.2043101 137.35769 -0.045151232 0.90171492 2054.5888 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 13 0.64147073 140.20247 -0.048510516 0.91487917 2004.8650 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 18 3.1983788 147.14626 -0.023383864 0.93998117 1960.9667 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 26 2.0144622 165.53767 -0.029086537 0.93201853 1984.3039 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 52 6.5980241 142.80426 -0.052172253 0.91892566 1957.6953 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 60 6.4229431 151.06352 -0.030509598 0.91657140 2041.1402 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 63 1.1373545 133.56027 -0.043065626 0.93548399 2008.3622 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 82 1.9883951 144.43121 -0.034398667 0.93528973 1948.7267 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 84 1.8418800 140.40201 0.011262489 0.93533519 1958.9860 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 109 2.9760764 127.65595 -0.0042557338 0.96304636 1950.1347 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 114 5.5370168 136.59512 -0.032170536 0.90715307 2061.1471 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 131 0.99841958 162.53641 0.018029540 0.88472110 2117.5495 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 153 3.1435423 162.56509 0.0029942019 0.89404481 2070.3094 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 176 1.9244487 156.28371 -0.039658450 0.91668582 1941.3124 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 180 2.0963446 147.54666 -0.012701155 0.88920867 2029.1879 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 184 1.0137833 151.28535 -0.022648304 0.92907581 1993.3783 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 185 2.7855284 154.42439 -0.017991702 0.92845144 1955.5577 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 186 2.6175811 153.74617 -0.034841321 0.91813228 2033.2809 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 201 7.0357822 128.99535 -0.052111161 0.93851235 2005.0240 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 204 6.5549390 144.40702 -0.0048283841 0.88346747 2039.0358 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 206 2.5684213 138.35443 0.0021215290 0.91036750 2014.6977 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 213 2.1619536 142.88467 -0.017341089 0.92788880 2048.1385 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 235 2.2416457 155.16215 -0.027668120 0.88263047 2080.2876 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 257 8.9450179 154.68333 -0.046021392 0.91411005 2002.0345 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 259 4.4921967 158.15483 -0.034796214 0.89090806 2040.6252 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 260 2.0088362 145.84726 -0.016763659 0.88634621 2053.8307 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 261 0.64290725 170.85823 -0.0095498886 0.91062189 2023.1018 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 265 4.1542963 156.55893 -0.048015934 0.87421274 2056.4683 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 271 1.0177508 159.45547 -0.011359038 0.87005458 2164.3382 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 276 0.97869759 147.01138 -0.038908650 0.89658858 2090.1196 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 281 2.1140502 157.97640 -0.045947734 0.88619683 2016.0901 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 284 1.9656889 157.21844 -0.023962625 0.89627173 2014.7057 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 307 3.0885361 163.50612 -0.038317131 0.88986998 2106.0623 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 3 308 5.9997074 166.80718 -0.013849298 0.89556136 2057.7313 LOCATESKYLINES_2: sdR-b2-00034675.fit: comb1 l,chi^2/dof,fit: 3 2.3295853 6.3277640e-05 -0.026114653 0.90799884 0.99923913 LOCATESKYLINES_2: sdR-b2-00034675.fit: sigma-clipped to 312 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034675.fit: comb2 l,chi^2/dof,fit: 3 2.1307157 0.00027168397 -0.023916580 0.90760264 0.99734918 LOCATESKYLINES_2: sdR-b2-00034675.fit: kept 312 of 315 points LOCATESKYLINES_2: sdR-b2-00034675.fit: offset, refoff, sigma: -0.094647-0.0239170.003067 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 0 47.172678 201.52881 0.0010617194 0.76526711 530.20524 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 6 16.626788 150.29904 -0.084673764 0.88205058 593.90598 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 13 29.372319 206.45969 -0.015054054 0.70516433 545.72722 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 18 18.410194 172.64566 -0.035357774 0.86917288 569.21083 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 26 18.742788 151.14345 -0.024557295 0.88504084 661.23273 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 52 30.007553 149.68771 0.073959571 0.91175870 533.57670 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 60 26.395542 152.03270 -0.025298931 0.82278263 577.69892 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 63 13.786839 145.59433 0.0073457674 0.87836857 550.86621 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 82 14.356950 164.43589 -0.0037038904 0.89286071 504.86948 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 84 13.618377 137.54655 0.00079398298 0.89302824 593.84157 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 109 15.986569 152.11411 0.042831974 0.89137498 543.44671 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 114 10.486526 159.44478 0.0051428088 0.84631588 630.32584 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 131 31.547218 196.57721 0.017279784 0.77311619 517.69292 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 153 32.100384 183.91544 0.075442526 0.89032117 516.08637 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 176 30.117809 171.39387 0.0058070664 0.84077801 561.34828 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 180 47.927016 186.72809 0.058940894 0.78987125 573.68088 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 184 44.021483 192.77523 0.053651612 0.80438113 498.90555 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 185 49.388219 181.47342 -0.018720664 0.84091219 518.30218 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 186 34.359786 195.94279 0.011181780 0.81339486 507.71236 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 201 30.295645 159.29497 0.044709542 0.87505924 539.40661 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 204 27.941239 148.64166 0.034599862 0.90806596 528.25840 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 206 24.794345 162.15423 -0.0084161221 0.80347094 579.22715 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 213 28.632593 190.01641 0.070313551 0.81189166 535.20511 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 235 18.091505 169.52893 0.019123779 0.82787365 549.38177 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 257 40.878545 167.72890 0.042360612 0.83672275 530.02330 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 259 49.170872 163.00794 0.060677805 0.84685997 562.59806 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 260 33.481905 204.00512 0.038409902 0.76700584 570.70254 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 261 39.199812 194.61059 0.081540966 0.77774738 533.99162 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 265 13.381326 181.08557 0.038571535 0.79134204 571.69245 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 271 44.330130 185.12707 -0.0071376707 0.80739308 528.73495 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 276 40.702385 186.41372 0.027683549 0.73425735 555.67606 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 281 32.901508 167.81284 -0.039811688 0.76359735 542.30387 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 284 42.855494 176.19641 -0.089682735 0.83350824 535.87768 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 307 24.017107 174.49595 0.052145488 0.87139205 536.44793 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 4 308 18.756236 201.90086 0.013243998 0.77191700 551.04969 LOCATESKYLINES_2: sdR-b2-00034675.fit: comb1 l,chi^2/dof,fit: 4 17.047546 0.00067994244 0.014065078 0.82918596 0.99575845 LOCATESKYLINES_2: sdR-b2-00034675.fit: sigma-clipped to 272 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034675.fit: comb2 l,chi^2/dof,fit: 4 2.2528507 -0.064131347 0.013487668 0.90950785 1.0355688 LOCATESKYLINES_2: sdR-b2-00034675.fit: kept 272 of 315 points LOCATESKYLINES_2: sdR-b2-00034675.fit: offset, refoff, sigma: -0.0572430.0134880.007224 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 0 65.751130 195.05632 0.050413776 0.67559601 426.74888 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 6 56.570267 150.27072 -0.13666252 0.82542358 383.33441 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 13 63.514479 208.38263 -0.046075706 0.77004875 344.13015 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 18 42.522321 179.82398 -0.074661589 0.80868955 385.61153 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 26 66.806818 199.98097 -0.10389971 0.74032002 401.02853 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 52 30.774484 165.85750 -0.010673595 0.81249033 391.47364 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 60 50.069372 173.12310 -0.013785096 0.83148948 409.82389 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 63 52.849324 185.01982 -0.0087068877 0.72598295 439.37369 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 82 49.657663 175.91537 -0.042203318 0.83151531 386.27584 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 84 48.616513 198.87546 0.0087115748 0.71443847 344.35693 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 109 54.910878 174.52364 -0.017716334 0.80472197 352.94086 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 114 70.937057 185.12159 0.035408165 0.68926611 444.10648 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 131 61.046807 208.16247 -0.042790596 0.60000000 380.65823 LOCATESKYLINES_2: sdR-b2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 153 33.453003 182.15009 -0.0091166810 0.74835250 381.84394 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 176 37.051158 152.75746 -0.058417717 0.80762861 378.51763 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 180 32.332590 147.57483 0.023974024 0.84774380 428.91133 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 184 24.537631 141.62619 0.048334101 0.95162895 387.80602 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 185 22.638119 168.90776 0.080336552 0.75946227 401.24341 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 186 75.252869 205.72751 0.0021582130 0.62083532 352.10857 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 201 52.979266 158.06783 0.081242496 0.90065045 392.43191 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 204 45.121731 168.16818 -0.0028831040 0.80388759 422.69823 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 206 40.807077 160.82993 0.031794053 0.82541033 408.07837 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 213 32.649933 163.37237 0.046328329 0.90368186 367.11982 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 235 32.658585 184.23079 -0.038901839 0.75913525 364.99054 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 257 33.299069 141.86310 0.079999498 0.85794384 397.86467 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 259 27.793106 148.61424 -0.045889388 0.80679841 440.23201 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 260 44.432795 173.42585 0.0099740765 0.83257097 365.58446 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 261 54.087075 191.29292 -0.14574507 0.60551296 459.29712 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 265 43.968496 180.91346 -0.066984055 0.78872063 347.24023 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 271 24.150363 166.56659 0.12767045 0.84580022 364.38575 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 276 79.471054 185.29560 -0.022911889 0.75610308 383.77057 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 281 32.899202 140.91049 0.021302843 0.84173245 463.35928 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 284 28.221663 147.96973 -0.046743202 0.78744011 451.00324 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 307 36.864568 163.83151 -0.0066139262 0.83774400 403.22620 LOCATESKYLINES_2: sdR-b2-00034675.fit: l,f,chi^2/dof,c: 5 308 27.190990 164.18423 -0.0080633615 0.83897668 406.25532 LOCATESKYLINES_2: sdR-b2-00034675.fit: comb1 l,chi^2/dof,fit: 5 24.891918 0.00038793844 -0.0012953028 0.80000000 0.98637568 LOCATESKYLINES_2: sdR-b2-00034675.fit: sigma-clipped to 250 of 306 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034675.fit: comb2 l,chi^2/dof,fit: 5 1.7823292 -0.094940271 -0.0044451952 0.90103660 1.0578968 LOCATESKYLINES_2: sdR-b2-00034675.fit: kept 250 of 306 points LOCATESKYLINES_2: sdR-b2-00034675.fit: offset, refoff, sigma: -0.075176-0.0044450.009132 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 8925.7523 DOF = 1863 P(0) = 27.2101 P(1) = 0.00000 P(2) = 27.2101 P(3) = 27.2101 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 2691.0609 DOF = 1863 P(0) = 50.1841 P(1) = 1.90614E-05 P(2) = 43.2490 P(3) = 50.4733 P(4) = 0.000130000 P(5) = 0.0204770 Iter 3 CHI-SQUARE = 2690.6175 DOF = 1863 P(0) = 50.2193 P(1) = 1.88715E-05 P(2) = 41.8748 P(3) = 50.6958 P(4) = 0.000130000 P(5) = 0.0186956 Iter 4 CHI-SQUARE = 2690.5591 DOF = 1863 P(0) = 50.1811 P(1) = 1.87599E-05 P(2) = 41.5299 P(3) = 50.6729 P(4) = 0.000130000 P(5) = 0.0179783 Iter 5 CHI-SQUARE = 2690.5169 DOF = 1863 P(0) = 50.1939 P(1) = 1.83747E-05 P(2) = 41.4880 P(3) = 50.6572 P(4) = 0.000130000 P(5) = 0.0161485 Iter 6 CHI-SQUARE = 2690.4480 DOF = 1863 P(0) = 50.1918 P(1) = 1.80864E-05 P(2) = 41.5422 P(3) = 50.6430 P(4) = 0.000130000 P(5) = 0.0221769 Iter 7 CHI-SQUARE = 2690.4183 DOF = 1863 P(0) = 50.1777 P(1) = 1.78549E-05 P(2) = 41.5719 P(3) = 50.6352 P(4) = 0.000130000 P(5) = 0.0228666 Iter 8 CHI-SQUARE = 2690.3796 DOF = 1863 P(0) = 50.1620 P(1) = 1.77206E-05 P(2) = 41.5834 P(3) = 50.6374 P(4) = 0.000130000 P(5) = 0.0188312 Iter 9 CHI-SQUARE = 2690.3636 DOF = 1863 P(0) = 50.1751 P(1) = 1.76280E-05 P(2) = 41.6247 P(3) = 50.6426 P(4) = 0.000130000 P(5) = 0.0209835 Iter 10 CHI-SQUARE = 2690.3579 DOF = 1863 P(0) = 50.1692 P(1) = 1.73683E-05 P(2) = 41.6745 P(3) = 50.6341 P(4) = 0.000130000 P(5) = 0.0234343 Iter 11 CHI-SQUARE = 2690.3164 DOF = 1863 P(0) = 50.1812 P(1) = 1.72743E-05 P(2) = 41.7051 P(3) = 50.6417 P(4) = 0.000130000 P(5) = 0.0211924 Iter 12 CHI-SQUARE = 2690.2950 DOF = 1863 P(0) = 50.1608 P(1) = 1.69887E-05 P(2) = 41.7431 P(3) = 50.6279 P(4) = 0.000130000 P(5) = 0.0224274 Iter 13 CHI-SQUARE = 2690.2852 DOF = 1863 P(0) = 50.1462 P(1) = 1.68012E-05 P(2) = 41.7650 P(3) = 50.6307 P(4) = 0.000130000 P(5) = 0.0172991 Iter 14 CHI-SQUARE = 2690.2523 DOF = 1863 P(0) = 50.1602 P(1) = 1.65106E-05 P(2) = 41.8378 P(3) = 50.6302 P(4) = 0.000130000 P(5) = 0.0169305 Iter 15 CHI-SQUARE = 2690.2105 DOF = 1863 P(0) = 50.1448 P(1) = 1.62505E-05 P(2) = 41.8814 P(3) = 50.6211 P(4) = 0.000130000 P(5) = 0.0196641 Iter 16 CHI-SQUARE = 2690.1969 DOF = 1863 P(0) = 50.1714 P(1) = 1.62293E-05 P(2) = 41.9258 P(3) = 50.6337 P(4) = 0.000130000 P(5) = 0.0203176 Iter 17 CHI-SQUARE = 2690.1936 DOF = 1863 P(0) = 50.1634 P(1) = 1.61715E-05 P(2) = 41.9275 P(3) = 50.6244 P(4) = 0.000130000 P(5) = 0.0197046 Iter 18 CHI-SQUARE = 2690.1887 DOF = 1863 P(0) = 50.1620 P(1) = 1.61122E-05 P(2) = 41.9382 P(3) = 50.6227 P(4) = 0.000130000 P(5) = 0.0201706 Iter 19 CHI-SQUARE = 2690.1829 DOF = 1863 P(0) = 50.1701 P(1) = 1.60558E-05 P(2) = 41.9603 P(3) = 50.6249 P(4) = 0.000130000 P(5) = 0.0206827 Iter 20 CHI-SQUARE = 2690.1777 DOF = 1863 P(0) = 50.1743 P(1) = 1.59981E-05 P(2) = 41.9769 P(3) = 50.6239 P(4) = 0.000130000 P(5) = 0.0206937 Iter 21 CHI-SQUARE = 2690.1737 DOF = 1863 P(0) = 50.1780 P(1) = 1.59523E-05 P(2) = 41.9895 P(3) = 50.6229 P(4) = 0.000130000 P(5) = 0.0193736 Iter 22 CHI-SQUARE = 2690.1683 DOF = 1863 P(0) = 50.1980 P(1) = 1.58315E-05 P(2) = 42.0343 P(3) = 50.6225 P(4) = 0.000130000 P(5) = 0.0194209 Iter 23 CHI-SQUARE = 2690.1608 DOF = 1863 P(0) = 50.1845 P(1) = 1.57200E-05 P(2) = 42.0456 P(3) = 50.6152 P(4) = 0.000130000 P(5) = 0.0214024 Iter 24 CHI-SQUARE = 2690.1516 DOF = 1863 P(0) = 50.1724 P(1) = 1.55994E-05 P(2) = 42.0581 P(3) = 50.6134 P(4) = 0.000130000 P(5) = 0.0213226 Iter 25 CHI-SQUARE = 2690.1468 DOF = 1863 P(0) = 50.1715 P(1) = 1.55022E-05 P(2) = 42.0758 P(3) = 50.6157 P(4) = 0.000130000 P(5) = 0.0186218 Iter 26 CHI-SQUARE = 2690.1353 DOF = 1863 P(0) = 50.1777 P(1) = 1.53701E-05 P(2) = 42.1100 P(3) = 50.6140 P(4) = 0.000130000 P(5) = 0.0190740 Iter 27 CHI-SQUARE = 2690.1317 DOF = 1863 P(0) = 50.1766 P(1) = 1.53306E-05 P(2) = 42.1194 P(3) = 50.6128 P(4) = 0.000130000 P(5) = 0.0193976 Iter 28 CHI-SQUARE = 2690.1292 DOF = 1863 P(0) = 50.1629 P(1) = 1.52568E-05 P(2) = 42.1210 P(3) = 50.6090 P(4) = 0.000130000 P(5) = 0.0203036 Iter 29 CHI-SQUARE = 2690.1275 DOF = 1863 P(0) = 50.1959 P(1) = 1.52095E-05 P(2) = 42.1690 P(3) = 50.6153 P(4) = 0.000130000 P(5) = 0.0202730 Iter 30 CHI-SQUARE = 2690.1222 DOF = 1863 P(0) = 50.1751 P(1) = 1.51356E-05 P(2) = 42.1599 P(3) = 50.6060 P(4) = 0.000130000 P(5) = 0.0208850 Iter 31 CHI-SQUARE = 2690.1189 DOF = 1863 P(0) = 50.1760 P(1) = 1.50680E-05 P(2) = 42.1744 P(3) = 50.6092 P(4) = 0.000130000 P(5) = 0.0192972 Iter 32 CHI-SQUARE = 2690.1166 DOF = 1863 P(0) = 50.1807 P(1) = 1.50445E-05 P(2) = 42.1861 P(3) = 50.6094 P(4) = 0.000130000 P(5) = 0.0196570 Iter 33 CHI-SQUARE = 2690.1157 DOF = 1863 P(0) = 50.1831 P(1) = 1.50242E-05 P(2) = 42.1931 P(3) = 50.6088 P(4) = 0.000130000 P(5) = 0.0197314 Iter 34 CHI-SQUARE = 2690.1141 DOF = 1863 P(0) = 50.1765 P(1) = 1.49822E-05 P(2) = 42.1939 P(3) = 50.6072 P(4) = 0.000130000 P(5) = 0.0195922 Iter 35 CHI-SQUARE = 2690.1130 DOF = 1863 P(0) = 50.1822 P(1) = 1.49697E-05 P(2) = 42.2042 P(3) = 50.6092 P(4) = 0.000130000 P(5) = 0.0199608 Iter 36 CHI-SQUARE = 2690.1116 DOF = 1863 P(0) = 50.1757 P(1) = 1.49300E-05 P(2) = 42.2043 P(3) = 50.6062 P(4) = 0.000130000 P(5) = 0.0197971 Iter 37 CHI-SQUARE = 2690.1082 DOF = 1863 P(0) = 50.1827 P(1) = 1.48469E-05 P(2) = 42.2291 P(3) = 50.6062 P(4) = 0.000130000 P(5) = 0.0200594 Iter 38 CHI-SQUARE = 2690.1071 DOF = 1863 P(0) = 50.1609 P(1) = 1.46849E-05 P(2) = 42.2410 P(3) = 50.6012 P(4) = 0.000130000 P(5) = 0.0208683 Iter 39 CHI-SQUARE = 2690.1042 DOF = 1863 P(0) = 50.1952 P(1) = 1.46399E-05 P(2) = 42.2865 P(3) = 50.6035 P(4) = 0.000130000 P(5) = 0.0197696 Iter 40 CHI-SQUARE = 2690.1012 DOF = 1863 P(0) = 50.1712 P(1) = 1.45673E-05 P(2) = 42.2758 P(3) = 50.6011 P(4) = 0.000130000 P(5) = 0.0193995 Iter 41 CHI-SQUARE = 2690.0988 DOF = 1863 P(0) = 50.1804 P(1) = 1.45556E-05 P(2) = 42.2905 P(3) = 50.6034 P(4) = 0.000130000 P(5) = 0.0200283 Iter 42 CHI-SQUARE = 2690.0988 DOF = 1863 P(0) = 50.1796 P(1) = 1.45558E-05 P(2) = 42.2900 P(3) = 50.6018 P(4) = 0.000130000 P(5) = 0.0200706 Iter 43 CHI-SQUARE = 2690.0988 DOF = 1863 P(0) = 50.1795 P(1) = 1.45559E-05 P(2) = 42.2899 P(3) = 50.6016 P(4) = 0.000130000 P(5) = 0.0200761 Iter 44 CHI-SQUARE = 2690.0988 DOF = 1863 P(0) = 50.1795 P(1) = 1.45557E-05 P(2) = 42.2898 P(3) = 50.6016 P(4) = 0.000130000 P(5) = 0.0200770 Iter 45 CHI-SQUARE = 2690.0988 DOF = 1863 P(0) = 50.1794 P(1) = 1.45554E-05 P(2) = 42.2898 P(3) = 50.6015 P(4) = 0.000130000 P(5) = 0.0200786 Iter 46 CHI-SQUARE = 2690.0988 DOF = 1863 P(0) = 50.1794 P(1) = 1.45548E-05 P(2) = 42.2898 P(3) = 50.6014 P(4) = 0.000130000 P(5) = 0.0200816 Iter 47 CHI-SQUARE = 2690.0987 DOF = 1863 P(0) = 50.1794 P(1) = 1.45542E-05 P(2) = 42.2898 P(3) = 50.6013 P(4) = 0.000130000 P(5) = 0.0200841 Iter 48 CHI-SQUARE = 2690.0987 DOF = 1863 P(0) = 50.1793 P(1) = 1.45536E-05 P(2) = 42.2898 P(3) = 50.6013 P(4) = 0.000130000 P(5) = 0.0200861 Iter 48 CHI-SQUARE = 2690.0987 DOF = 1863 P(0) = 50.1793 P(1) = 1.45536E-05 P(2) = 42.2898 P(3) = 50.6013 P(4) = 0.000130000 P(5) = 0.0200861 FITMOONPLUSLINE: sdR-b2-00034675.fit: fit coeffs: 50.179335 1.4553629e-05 42.289765 50.601295 0.00013000000 0.020086087 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034675.fit: changing 4046.58 correction from -0.488603 to -0.13158026 pixels, err= 0.046952758 Iter 1 CHI-SQUARE = 35787.519 DOF = 3854 P(0) = 44.0745 P(1) = 0.00000 P(2) = 44.0745 P(3) = 44.0745 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 7734.8154 DOF = 3854 P(0) = 77.6830 P(1) = 4.46625E-05 P(2) = 63.1111 P(3) = 197.503 P(4) = 0.000130000 P(5) = 0.202198 Iter 3 CHI-SQUARE = 7562.5558 DOF = 3854 P(0) = 77.2438 P(1) = 1.93432E-05 P(2) = 61.0306 P(3) = 198.890 P(4) = 0.000130000 P(5) = 0.224957 Iter 4 CHI-SQUARE = 7547.0358 DOF = 3854 P(0) = 77.6744 P(1) = 2.04347E-05 P(2) = 62.9660 P(3) = 199.547 P(4) = 0.000130000 P(5) = 0.199737 Iter 5 CHI-SQUARE = 7546.8549 DOF = 3854 P(0) = 77.6486 P(1) = 1.98957E-05 P(2) = 62.8718 P(3) = 199.588 P(4) = 0.000130000 P(5) = 0.201723 Iter 6 CHI-SQUARE = 7546.8487 DOF = 3854 P(0) = 77.6516 P(1) = 2.00085E-05 P(2) = 62.8791 P(3) = 199.586 P(4) = 0.000130000 P(5) = 0.201827 Iter 7 CHI-SQUARE = 7546.8485 DOF = 3854 P(0) = 77.6507 P(1) = 2.00605E-05 P(2) = 62.8791 P(3) = 199.583 P(4) = 0.000130000 P(5) = 0.201865 Iter 8 CHI-SQUARE = 7546.8476 DOF = 3854 P(0) = 77.6500 P(1) = 2.00363E-05 P(2) = 62.8785 P(3) = 199.581 P(4) = 0.000130000 P(5) = 0.201909 Iter 9 CHI-SQUARE = 7546.8476 DOF = 3854 P(0) = 77.6498 P(1) = 2.00425E-05 P(2) = 62.8784 P(3) = 199.581 P(4) = 0.000130000 P(5) = 0.201917 Iter 10 CHI-SQUARE = 7546.8476 DOF = 3854 P(0) = 77.6498 P(1) = 2.00426E-05 P(2) = 62.8784 P(3) = 199.581 P(4) = 0.000130000 P(5) = 0.201917 Iter 10 CHI-SQUARE = 7546.8476 DOF = 3854 P(0) = 77.6498 P(1) = 2.00426E-05 P(2) = 62.8784 P(3) = 199.581 P(4) = 0.000130000 P(5) = 0.201917 FITMOONPLUSLINE: sdR-b2-00034675.fit: fit coeffs: 77.649811 2.0042551e-05 62.878443 199.58109 0.00013000000 0.20191677 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034675.fit: changing 4358.33 correction from -0.203873 to -0.18478211 pixels, err= 0.018158728 Iter 1 CHI-SQUARE = 31511.869 DOF = 1291 P(0) = 96.5329 P(1) = 0.00000 P(2) = 96.5329 P(3) = 96.5329 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 3182.8537 DOF = 1291 P(0) = 156.489 P(1) = 4.85748E-05 P(2) = 153.113 P(3) = 382.184 P(4) = 0.000130000 P(5) = 0.330662 Iter 3 CHI-SQUARE = 2882.8017 DOF = 1291 P(0) = 142.878 P(1) = 1.62309E-05 P(2) = 172.900 P(3) = 369.209 P(4) = 0.000130000 P(5) = 0.909548 Iter 4 CHI-SQUARE = 2014.8755 DOF = 1291 P(0) = 154.604 P(1) = 1.68725E-05 P(2) = 178.307 P(3) = 381.346 P(4) = 0.000130000 P(5) = 0.366455 Iter 5 CHI-SQUARE = 2011.7709 DOF = 1291 P(0) = 153.982 P(1) = 1.51665E-05 P(2) = 174.493 P(3) = 381.029 P(4) = 0.000130000 P(5) = 0.344669 Iter 6 CHI-SQUARE = 1990.5544 DOF = 1291 P(0) = 155.620 P(1) = 1.49948E-05 P(2) = 172.828 P(3) = 382.323 P(4) = 0.000130000 P(5) = 0.339044 Iter 7 CHI-SQUARE = 1986.5440 DOF = 1291 P(0) = 156.769 P(1) = 1.45669E-05 P(2) = 172.505 P(3) = 382.112 P(4) = 0.000130000 P(5) = 0.341462 Iter 8 CHI-SQUARE = 1984.2368 DOF = 1291 P(0) = 156.034 P(1) = 1.40413E-05 P(2) = 171.019 P(3) = 381.605 P(4) = 0.000130000 P(5) = 0.317286 Iter 9 CHI-SQUARE = 1982.4362 DOF = 1291 P(0) = 156.239 P(1) = 1.34564E-05 P(2) = 168.279 P(3) = 381.977 P(4) = 0.000130000 P(5) = 0.367735 Iter 10 CHI-SQUARE = 1981.2964 DOF = 1291 P(0) = 156.347 P(1) = 1.32104E-05 P(2) = 166.913 P(3) = 382.143 P(4) = 0.000130000 P(5) = 0.361139 Iter 11 CHI-SQUARE = 1979.8504 DOF = 1291 P(0) = 156.112 P(1) = 1.27662E-05 P(2) = 165.301 P(3) = 382.220 P(4) = 0.000130000 P(5) = 0.321139 Iter 12 CHI-SQUARE = 1979.1141 DOF = 1291 P(0) = 156.636 P(1) = 1.23392E-05 P(2) = 163.598 P(3) = 382.589 P(4) = 0.000130000 P(5) = 0.312689 Iter 13 CHI-SQUARE = 1978.7941 DOF = 1291 P(0) = 156.510 P(1) = 1.23340E-05 P(2) = 163.383 P(3) = 382.431 P(4) = 0.000130000 P(5) = 0.321841 Iter 14 CHI-SQUARE = 1978.5332 DOF = 1291 P(0) = 156.421 P(1) = 1.22014E-05 P(2) = 162.719 P(3) = 382.479 P(4) = 0.000130000 P(5) = 0.325685 Iter 15 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 16 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 17 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 18 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 19 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 20 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 21 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 22 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 23 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 24 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 25 CHI-SQUARE = 1978.5329 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326218 Iter 26 CHI-SQUARE = 1978.5328 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326219 Iter 27 CHI-SQUARE = 1978.5328 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326220 Iter 28 CHI-SQUARE = 1978.5328 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326222 Iter 29 CHI-SQUARE = 1978.5328 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326225 Iter 30 CHI-SQUARE = 1978.5328 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326227 Iter 31 CHI-SQUARE = 1978.5328 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.685 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326230 Iter 32 CHI-SQUARE = 1978.5327 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.684 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326232 Iter 33 CHI-SQUARE = 1978.5327 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.684 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326236 Iter 34 CHI-SQUARE = 1978.5326 DOF = 1291 P(0) = 156.415 P(1) = 1.22047E-05 P(2) = 162.684 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326242 Iter 35 CHI-SQUARE = 1978.5325 DOF = 1291 P(0) = 156.415 P(1) = 1.22046E-05 P(2) = 162.683 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326251 Iter 36 CHI-SQUARE = 1978.5323 DOF = 1291 P(0) = 156.415 P(1) = 1.22046E-05 P(2) = 162.683 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326264 Iter 37 CHI-SQUARE = 1978.5320 DOF = 1291 P(0) = 156.415 P(1) = 1.22044E-05 P(2) = 162.682 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326280 Iter 38 CHI-SQUARE = 1978.5317 DOF = 1291 P(0) = 156.414 P(1) = 1.22043E-05 P(2) = 162.680 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326302 Iter 39 CHI-SQUARE = 1978.5311 DOF = 1291 P(0) = 156.414 P(1) = 1.22042E-05 P(2) = 162.677 P(3) = 382.477 P(4) = 0.000130000 P(5) = 0.326362 Iter 40 CHI-SQUARE = 1978.5299 DOF = 1291 P(0) = 156.413 P(1) = 1.22039E-05 P(2) = 162.670 P(3) = 382.477 P(4) = 0.000130000 P(5) = 0.326480 Iter 41 CHI-SQUARE = 1978.5275 DOF = 1291 P(0) = 156.412 P(1) = 1.22028E-05 P(2) = 162.661 P(3) = 382.477 P(4) = 0.000130000 P(5) = 0.326623 Iter 42 CHI-SQUARE = 1978.5267 DOF = 1291 P(0) = 156.410 P(1) = 1.22034E-05 P(2) = 162.648 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.326836 Iter 43 CHI-SQUARE = 1978.5246 DOF = 1291 P(0) = 156.408 P(1) = 1.22029E-05 P(2) = 162.635 P(3) = 382.478 P(4) = 0.000130000 P(5) = 0.327053 Iter 44 CHI-SQUARE = 1978.5228 DOF = 1291 P(0) = 156.403 P(1) = 1.22035E-05 P(2) = 162.605 P(3) = 382.480 P(4) = 0.000130000 P(5) = 0.327506 Iter 45 CHI-SQUARE = 1978.5191 DOF = 1291 P(0) = 156.402 P(1) = 1.22012E-05 P(2) = 162.596 P(3) = 382.481 P(4) = 0.000130000 P(5) = 0.327634 Iter 46 CHI-SQUARE = 1978.5154 DOF = 1291 P(0) = 156.399 P(1) = 1.21995E-05 P(2) = 162.574 P(3) = 382.483 P(4) = 0.000130000 P(5) = 0.327942 Iter 47 CHI-SQUARE = 1978.5083 DOF = 1291 P(0) = 156.394 P(1) = 1.21954E-05 P(2) = 162.544 P(3) = 382.486 P(4) = 0.000130000 P(5) = 0.328287 Iter 48 CHI-SQUARE = 1978.4954 DOF = 1291 P(0) = 156.391 P(1) = 1.21873E-05 P(2) = 162.445 P(3) = 382.509 P(4) = 0.000130000 P(5) = 0.329294 Iter 49 CHI-SQUARE = 1978.4703 DOF = 1291 P(0) = 156.379 P(1) = 1.21688E-05 P(2) = 162.322 P(3) = 382.528 P(4) = 0.000130000 P(5) = 0.329941 Iter 50 CHI-SQUARE = 1978.4344 DOF = 1291 P(0) = 156.413 P(1) = 1.21324E-05 P(2) = 162.099 P(3) = 382.583 P(4) = 0.000130000 P(5) = 0.331267 Iter 51 CHI-SQUARE = 1978.3924 DOF = 1291 P(0) = 156.305 P(1) = 1.20675E-05 P(2) = 161.901 P(3) = 382.539 P(4) = 0.000130000 P(5) = 0.324985 Iter 52 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328606 Iter 53 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328606 Iter 54 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328606 Iter 55 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328606 Iter 56 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328606 Iter 57 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328606 Iter 58 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328607 Iter 59 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328607 Iter 60 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328608 Iter 61 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328609 Iter 62 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328609 Iter 63 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328609 Iter 63 CHI-SQUARE = 1978.3278 DOF = 1291 P(0) = 156.386 P(1) = 1.20396E-05 P(2) = 161.674 P(3) = 382.633 P(4) = 0.000130000 P(5) = 0.328609 FITMOONPLUSLINE: sdR-b2-00034675.fit: fit coeffs: 156.38581 1.2039626e-05 161.67400 382.63315 0.00013000000 0.32860867 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034675.fit: changing 5460.94 correction from -0.0633347 to -0.12425800 pixels, err= 0.011969404 LOCATESKYLINES_2: sdR-b2-00034675.fit: applying -0.01 pixel correction to -0.06 -0.08 0.58 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 FITMEANX: sdR-b2-00034675.fit: In skyline number 0 std-dev is 0.14992092 pix FITMEANX: sdR-b2-00034675.fit: In skyline number 1 std-dev is 0.063496752 pix FITMEANX: sdR-b2-00034675.fit: In skyline number 2 std-dev is 0.039437929 pix FITMEANX: sdR-b2-00034675.fit: In skyline number 3 std-dev is 0.017418546 pix FITMEANX: sdR-b2-00034675.fit: In skyline number 4 std-dev is 0.030704639 pix FITMEANX: sdR-b2-00034675.fit: In skyline number 5 std-dev is 0.045392891 pix LOCATESKYLINES_2: sdR-b2-00034675.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034675.fit: In sky feature at 4046.5600 coadded std-dev is 0.0469528 pix LOCATESKYLINES_2: sdR-b2-00034675.fit: In sky feature at 4358.3300 coadded std-dev is 0.0181587 pix LOCATESKYLINES_2: sdR-b2-00034675.fit: In sky feature at 5460.9400 coadded std-dev is 0.0119694 pix LOCATESKYLINES_2: sdR-b2-00034675.fit: In sky feature at 5577.3390 coadded std-dev is 0.00306724 pix LOCATESKYLINES_2: sdR-b2-00034675.fit: In sky feature at 5889.9500 coadded std-dev is 0.00722406 pix LOCATESKYLINES_2: sdR-b2-00034675.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034675.fit: Median arc shift = -0.13068819 pix LOCATESKYLINES_2: sdR-b2-00034675.fit: Dispersion in arc shift = 0.049543326 pix LOCATESKYLINES_2: sdR-b2-00034675.fit: Maximum sky-line shift is 0.20884702 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Number of sky fibers = 35 ROW NITER SIG(med) CHI^2 .0000 1 0.85 0.10 .0001 1 0.85 0.26 .0002 1 0.85 0.38 .0003 1 0.85 0.14 .0004 3 0.85 0.38 .0005 9 0.85 0.27 .0006 1 0.85 0.14 .0007 2 0.85 0.41 .0008 1 0.85 0.18 .0009 1 0.85 0.48 .0010 1 0.85 0.28 .0011 4 0.85 0.29 .0012 6 0.85 0.34 .0013 1 0.85 0.10 .0014 2 0.85 0.52 .0015 1 0.85 0.34 .0016 2 0.85 0.27 .0017 1 0.85 0.49 .0018 1 0.85 0.09 .0019 1 0.85 0.15 .0020 2 0.83 0.38 .0021 1 0.83 0.13 .0022 4 0.83 0.54 .0023 8 0.83 0.28 .0024 1 0.83 0.25 .0025 1 0.83 0.24 .0026 1 0.83 0.10 .0027 10 0.83 0.22 .0028 1 0.83 0.22 .0029 1 0.83 0.29 .0030 1 0.83 0.18 .0031 1 0.83 0.29 .0032 8 0.83 0.23 .0033 1 0.83 0.33 .0034 6 0.83 0.35 .0035 2 0.83 0.39 .0036 1 0.83 0.21 .0037 1 0.83 0.32 .0038 1 0.83 0.27 .0039 1 0.83 0.26 .0040 5 0.86 0.36 .0041 1 0.86 0.27 .0042 1 0.86 0.24 .0043 1 0.86 0.22 .0044 1 0.86 0.16 .0045 3 0.86 0.46 .0046 5 0.86 0.33 .0047 1 0.86 0.30 .0048 1 0.86 0.19 .0049 1 0.86 0.20 .0050 1 0.86 0.27 .0051 3 0.86 0.42 .0052 1 0.86 0.10 .0053 1 0.86 0.20 .0054 2 0.86 0.58 .0055 4 0.86 0.36 .0056 2 0.86 0.25 .0057 1 0.86 0.33 .0058 1 0.86 0.32 .0059 1 0.86 0.17 .0060 1 0.84 0.11 .0061 2 0.84 0.27 .0062 1 0.84 0.31 .0063 1 0.84 0.09 .0064 6 0.84 0.38 .0065 1 0.84 0.30 .0066 1 0.84 0.35 .0067 1 0.84 0.34 .0068 1 0.84 0.24 .0069 5 0.84 0.27 .0070 5 0.84 0.39 .0071 1 0.84 0.18 .0072 1 0.84 0.28 .0073 1 0.84 0.20 .0074 1 0.84 0.19 .0075 1 0.84 0.26 .0076 6 0.84 0.39 .0077 2 0.84 0.34 .0078 3 0.84 0.43 .0079 1 0.84 0.17 .0080 2 0.84 0.55 .0081 1 0.84 0.26 .0082 1 0.84 0.09 .0083 1 0.84 0.35 .0084 1 0.84 0.08 .0085 1 0.84 0.21 .0086 8 0.84 0.21 .0087 1 0.84 0.36 .0088 1 0.84 0.35 .0089 1 0.84 0.27 .0090 1 0.84 0.29 .0091 1 0.84 0.20 .0092 1 0.84 0.24 .0093 1 0.84 0.35 .0094 1 0.84 0.23 .0095 1 0.84 0.29 .0096 2 0.84 0.45 .0097 2 0.84 0.43 .0098 1 0.84 0.32 .0099 1 0.84 0.23 .0100 1 0.85 0.24 .0101 2 0.85 0.23 .0102 4 0.85 0.53 .0103 1 0.85 0.21 .0104 1 0.85 0.25 .0105 5 0.85 0.44 .0106 1 0.85 0.20 .0107 1 0.85 0.34 .0108 1 0.85 0.22 .0109 1 0.85 0.09 .0110 1 0.85 0.15 .0111 1 0.85 0.24 .0112 4 0.85 0.39 .0113 1 0.85 0.20 .0114 1 0.85 0.10 .0115 1 0.85 0.26 .0116 1 0.85 0.26 .0117 3 0.85 0.32 .0118 1 0.85 0.21 .0119 1 0.85 0.24 .0120 1 0.83 0.26 .0121 1 0.83 0.23 .0122 1 0.83 0.31 .0123 1 0.83 0.35 .0124 1 0.83 0.22 .0125 1 0.83 0.22 .0126 1 0.83 0.18 .0127 1 0.83 0.22 .0128 4 0.83 0.34 .0129 1 0.83 0.33 .0130 4 0.83 0.50 .0131 1 0.83 0.06 .0132 4 0.83 0.27 .0133 1 0.83 0.39 .0134 1 0.83 0.35 .0135 1 0.83 0.27 .0136 1 0.83 0.14 .0137 2 0.83 0.29 .0138 1 0.83 0.23 .0139 3 0.83 0.36 .0140 1 0.83 0.17 .0141 4 0.83 0.61 .0142 10 0.83 0.23 .0143 1 0.83 0.18 .0144 1 0.83 0.30 .0145 1 0.83 0.27 .0146 1 0.83 0.21 .0147 1 0.83 0.23 .0148 1 0.83 0.25 .0149 8 0.83 0.19 .0150 1 0.83 0.24 .0151 1 0.83 0.34 .0152 1 0.83 0.22 .0153 1 0.83 0.09 .0154 10 0.83 0.27 .0155 6 0.83 0.41 .0156 1 0.83 0.27 .0157 8 0.83 0.31 .0158 1 0.83 0.21 .0159 1 0.83 0.31 .0160 1 0.84 0.24 .0161 1 0.84 0.33 .0162 1 0.84 0.25 .0163 1 0.84 0.24 .0164 1 0.84 0.33 .0165 1 0.84 0.10 .0166 1 0.84 0.18 .0167 1 0.84 0.24 .0168 1 0.84 0.26 .0169 1 0.84 0.38 .0170 1 0.84 0.39 .0171 1 0.84 0.17 .0172 1 0.84 0.08 .0173 1 0.84 0.21 .0174 1 0.84 0.11 .0175 1 0.84 0.20 .0176 1 0.84 0.14 .0177 1 0.84 0.29 .0178 1 0.84 0.11 .0179 1 0.84 0.14 .0180 1 0.84 0.11 .0181 1 0.84 0.19 .0182 1 0.84 0.10 .0183 1 0.84 0.29 .0184 1 0.84 0.10 .0185 1 0.84 0.08 .0186 1 0.84 0.10 .0187 1 0.84 0.09 .0188 1 0.84 0.22 .0189 1 0.84 0.37 .0190 1 0.84 0.11 .0191 1 0.84 0.10 .0192 1 0.84 0.09 .0193 1 0.84 0.10 .0194 1 0.84 0.12 .0195 1 0.84 0.12 .0196 1 0.84 0.12 .0197 1 0.84 0.45 .0198 1 0.84 0.11 .0199 1 0.84 0.09 .0200 1 0.83 0.25 .0201 1 0.83 0.15 .0202 6 0.83 0.40 .0203 1 0.83 0.29 .0204 1 0.83 0.09 .0205 10 0.83 0.24 .0206 1 0.83 0.08 .0207 8 0.83 0.33 .0208 1 0.83 0.26 .0209 4 0.83 0.47 .0210 1 0.83 0.38 .0211 1 0.83 0.34 .0212 1 0.83 0.33 .0213 1 0.83 0.08 .0214 1 0.83 0.22 .0215 2 0.83 0.41 .0216 6 0.83 0.30 .0217 4 0.83 0.59 .0218 1 0.83 0.17 .0219 1 0.83 0.23 .0220 1 0.84 0.31 .0221 1 0.84 0.38 .0222 1 0.84 0.28 .0223 4 0.84 0.55 .0224 1 0.84 0.29 .0225 1 0.84 0.22 .0226 2 0.84 0.40 .0227 1 0.84 0.12 .0228 3 0.84 0.47 .0229 1 0.84 0.35 .0230 1 0.84 0.19 .0231 1 0.84 0.34 .0232 3 0.84 0.09 .0233 1 0.84 0.29 .0234 1 0.84 0.33 .0235 1 0.84 0.10 .0236 1 0.84 0.32 .0237 1 0.84 0.31 .0238 5 0.84 0.42 .0239 1 0.84 0.08 .0240 4 0.84 0.40 .0241 0 0.84 0.00 .0242 9 0.84 0.25 .0243 1 0.84 0.51 .0244 1 0.84 0.41 .0245 1 0.84 0.36 .0246 1 0.84 0.26 .0247 1 0.84 0.40 .0248 1 0.84 0.41 .0249 1 0.84 0.29 .0250 1 0.84 0.23 .0251 2 0.84 0.48 .0252 1 0.84 0.27 .0253 1 0.84 0.26 .0254 1 0.84 0.10 .0255 1 0.84 0.39 .0256 1 0.84 0.23 .0257 1 0.84 0.11 .0258 1 0.84 0.27 .0259 1 0.84 0.12 .0260 1 0.84 0.07 .0261 1 0.84 0.09 .0262 2 0.84 0.44 .0263 0 0.84 0.00 .0264 1 0.84 0.38 .0265 1 0.84 0.10 .0266 1 0.84 0.36 .0267 2 0.84 0.29 .0268 1 0.84 0.37 .0269 1 0.84 0.33 .0270 1 0.84 0.34 .0271 1 0.84 0.10 .0272 1 0.84 0.28 .0273 2 0.84 0.52 .0274 1 0.84 0.28 .0275 8 0.84 0.22 .0276 1 0.84 0.10 .0277 1 0.84 0.43 .0278 1 0.84 0.52 .0279 1 0.84 0.50 .0280 1 0.85 0.34 .0281 1 0.85 0.10 .0282 1 0.85 0.30 .0283 1 0.85 0.24 .0284 1 0.85 0.08 .0285 1 0.85 0.38 .0286 1 0.85 0.22 .0287 1 0.85 0.22 .0288 1 0.85 0.31 .0289 1 0.85 0.28 .0290 1 0.85 0.32 .0291 1 0.85 0.37 .0292 0 0.85 0.00 .0293 2 0.85 0.38 .0294 1 0.85 0.23 .0295 1 0.85 0.23 .0296 1 0.85 0.31 .0297 1 0.85 0.34 .0298 4 0.85 0.48 .0299 1 0.85 0.34 .0300 1 0.85 0.31 .0301 1 0.85 0.36 .0302 1 0.85 0.29 .0303 7 0.85 0.38 .0304 1 0.85 0.45 .0305 1 0.85 0.23 .0306 1 0.85 0.25 .0307 1 0.85 0.11 .0308 1 0.85 0.08 .0309 1 0.85 0.25 .0310 1 0.85 0.30 .0311 0 0.85 0.00 .0312 4 0.85 0.56 .0313 2 0.85 0.36 .0314 1 0.85 0.25 .0315 2 0.85 0.56 .0316 9 0.85 0.49 .0317 1 0.85 0.26 .0318 1 0.85 0.33 .0319 1 0.85 0.33 EXTRACT_IMAGE: sdR-b2-00034675.fit: masked 352 pixels SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 0 median sigma(arc)= 0.85361801 sigma(sky)= -0.22643778 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 0 sigma^2(add)= 0.27063786 +/- 38781.110 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 1 median sigma(arc)= 0.85324059 sigma(sky)= -0.076831915 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 1 sigma^2(add)= 0.25742650 +/- 111763.25 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 2 median sigma(arc)= 0.83789933 sigma(sky)= 0.94003189 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 2 sigma^2(add)= 0.18445911 +/- 0.090436136 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 3 median sigma(arc)= 0.83443631 sigma(sky)= 0.91716047 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 3 sigma^2(add)= 0.16995974 +/- 0.22052891 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 4 median sigma(arc)= 0.86912855 sigma(sky)= 1.1553417 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 4 sigma^2(add)= 0.58298737 +/- 0.25896761 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 5 median sigma(arc)= 0.90541016 sigma(sky)= 1.1056825 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Line # 5 sigma^2(add)= 68.203170 +/- 6454.4582 SKYLINE_DISPERSION: sdR-b2-00034675.fit: Flexure sigma^2(add) = 0.15633682 +/- 0.21410959 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034675.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034675.fit: Heliocentric correction = 22.999903 km/s FITVACSET: sdR-b2-00034675.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034675.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034675.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034675.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034675.fit: Number of sky fibers = 33 SKYSUBTRACT: sdR-b2-00034675.fit: Airmass range = 1.32292 1.38134 SKYSUBTRACT: sdR-b2-00034675.fit: Discarding 0.000665838 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 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Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034675.fit: Median sky-residual chi2 = 1.08539 SKYSUBTRACT: sdR-b2-00034675.fit: Max sky-residual chi2 = 2.53345 QAPLOT_SKYSUB: sdR-b2-00034675.fit: Warning: Median sky-sub flux in sky fiber 85 = -11.7211 electrons QAPLOT_SKYSUB: sdR-b2-00034675.fit: Warning: Median sky-sub flux in sky fiber 262 = 13.1750 electrons QAPLOT_SKYSUB: sdR-b2-00034675.fit: Median sky-residual chi = 1.05727 QAPLOT_SKYSUB: sdR-b2-00034675.fit: Max sky-residual chi = 1.66738 at 4085.8077 Ang SKYSUBTRACT: sdR-b2-00034675.fit: Number of sky fibers = 33 SKYSUBTRACT: sdR-b2-00034675.fit: Airmass range = 1.32292 1.38134 SKYSUBTRACT: sdR-b2-00034675.fit: Discarding 0.000665838 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 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of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 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of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 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Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034675.fit: Median sky-residual chi2 = 1.05483 SKYSUBTRACT: sdR-b2-00034675.fit: Max sky-residual chi2 = 2.59586 QAPLOT_SKYSUB: sdR-b2-00034675.fit: Warning: Median sky-sub flux in sky fiber 27 = 11.5200 electrons QAPLOT_SKYSUB: sdR-b2-00034675.fit: Warning: Median sky-sub flux in sky fiber 262 = 10.2551 electrons QAPLOT_SKYSUB: sdR-b2-00034675.fit: Median sky-residual chi = 1.04219 QAPLOT_SKYSUB: sdR-b2-00034675.fit: Max sky-residual chi = 1.63069 at 4638.9753 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b2-00034675.fit: Airmass range = 1.32 1.38 QAPLOT_SKYLINE: sdR-b2-00034675.fit: Flux dispersion for skyline 4359.5 = 14.31 % QAPLOT_SKYLINE: sdR-b2-00034675.fit: Airmass range = 1.32 1.38 QAPLOT_SKYLINE: sdR-b2-00034675.fit: Flux dispersion for skyline 5578.9 = 1.79 % SPADD_GUIDERINFO: sdR-b2-00034675.fit: Number of guider frames = 9 SPREDUCE: sdR-b2-00034675.fit: Elapsed time = 161. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 524. seconds SPREDUCE2D: Time to reduce camera b2 = 524. seconds READPLUGMAP: r1: Rescaling SCI_EXPTIME values by 240.10000 READPLUGMAP: r1: Adding fields from calibObj file READPLUGMAP: r1: LIED about EBV. Set to 0.3 PLUG2TSOBJ: r1: WARNING: calibObj file not found for plate 2338 READPLUGMAP: r1: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: r1: Number of missing fibers: 3 SPCALIB: r1: Tracing flat # 1 of 2 SPCALIB: r1: Reading flat sdR-r1-00034673.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opECalib-51577.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.98984 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1184.20 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1164. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.69474 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1234.02 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1214. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Tracing 320 fibers in sdR-r1-00034673.fit TRACE320CEN: r1: Big gap at fiber= 20, x= 149.82, dx= 7.99 TRACE320CEN: r1: Big gap at fiber= 40, x= 276.67, dx= 8.22 TRACE320CEN: r1: Big gap at fiber= 60, x= 402.38, dx= 7.56 TRACE320CEN: r1: Big gap at fiber= 80, x= 528.92, dx= 8.72 TRACE320CEN: r1: Big gap at fiber= 100, x= 654.12, dx= 7.96 TRACE320CEN: r1: Big gap at fiber= 120, x= 779.72, dx= 8.56 TRACE320CEN: r1: Big gap at fiber= 140, x= 904.79, dx= 8.48 TRACE320CEN: r1: Big gap at fiber= 160, x=1029.29, dx= 7.94 TRACE320CEN: r1: Big gap at fiber= 180, x=1154.73, dx= 8.77 TRACE320CEN: r1: Big gap at fiber= 200, x=1279.73, dx= 7.75 TRACE320CEN: r1: Big gap at fiber= 220, x=1405.42, dx= 8.53 TRACE320CEN: r1: Big gap at fiber= 240, x=1530.73, dx= 7.50 TRACE320CEN: r1: Big gap at fiber= 260, x=1656.85, dx= 8.42 TRACE320CEN: r1: Big gap at fiber= 280, x=1782.96, dx= 7.90 TRACE320CEN: r1: Big gap at fiber= 300, x=1910.16, dx= 8.38 TRACE320CRUDE: r1: Warning: Fixing traces: 11 45 90 98 103 145 173 174 187 188 216 249 251 268 269 294 297 298 305 316 SPCALIB: r1: Fitting traces in sdR-r1-00034673.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 1 10 2048 0 11 2048 0 12 2048 32 13 2048 23 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 24 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 61 45 2048 0 46 2048 11 47 2048 15 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 3 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 15 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 75 100 2048 39 101 2048 0 102 2048 0 103 2048 0 104 2048 67 105 2048 18 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 21 137 2048 98 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 8 145 2048 0 146 2048 57 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 1 173 2048 0 174 2048 0 175 2048 15 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 1 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 72 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 17 248 2048 70 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 1 267 2048 56 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 1 288 2048 1 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 38 304 2048 34 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 875 SPCALIB: r1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 2 1.00 1.40 .0001 2 1.00 1.25 .0002 2 1.00 1.27 .0003 2 1.00 1.23 .0004 2 1.00 1.25 .0005 2 1.00 1.30 .0006 2 1.00 1.28 .0007 2 1.00 1.25 .0008 2 1.00 1.26 .0009 2 1.00 1.28 .0010 2 1.00 1.44 .0011 2 1.00 1.32 .0012 2 1.00 1.24 .0013 2 1.00 1.30 .0014 2 1.00 1.38 .0015 2 1.00 1.30 .0016 2 1.00 1.28 .0017 2 1.00 1.38 .0018 2 1.00 1.37 .0019 2 1.00 1.44 .0020 2 1.00 1.35 .0021 2 1.00 1.46 .0022 2 1.00 1.46 .0023 2 1.00 1.39 .0024 2 1.00 1.46 .0025 2 1.00 1.45 .0026 2 1.00 1.42 .0027 2 1.00 1.38 .0028 2 1.00 1.50 .0029 2 1.00 1.50 .0030 2 1.00 1.44 .0031 2 1.00 1.44 .0032 2 1.00 1.40 .0033 2 1.00 1.42 .0034 2 1.00 1.50 .0035 2 1.00 1.53 .0036 2 1.00 1.53 .0037 2 1.00 1.42 .0038 2 1.00 1.55 .0039 2 1.00 1.54 .0040 2 1.00 1.56 .0041 2 1.00 1.65 .0042 2 1.00 1.67 .0043 2 1.00 1.59 .0044 2 1.00 1.70 .0045 2 1.00 1.54 .0046 2 1.00 1.63 .0047 3 1.00 1.68 .0048 3 1.00 1.84 .0049 2 1.00 1.71 .0050 2 1.00 1.71 .0051 1 1.00 1.84 .0052 1 1.00 1.98 .0053 1 1.00 1.98 .0054 1 1.00 1.87 .0055 1 1.00 1.95 .0056 1 1.00 2.01 .0057 1 1.00 1.82 .0058 1 1.00 1.89 .0059 1 1.00 1.96 .0060 1 1.00 1.94 .0061 1 1.00 1.90 .0062 1 1.00 1.84 .0063 1 1.00 1.83 .0064 1 1.00 1.79 .0065 1 1.00 1.87 .0066 1 1.00 1.84 .0067 1 1.00 1.76 .0068 1 1.00 2.00 .0069 1 1.00 1.92 .0070 2 1.00 1.86 .0071 3 1.00 1.81 .0072 1 1.00 1.95 .0073 1 1.00 1.87 .0074 1 1.00 1.87 .0075 1 1.00 1.85 .0076 1 1.00 1.96 .0077 1 1.00 1.94 .0078 1 1.00 1.80 .0079 1 1.00 1.84 .0080 1 1.00 1.87 .0081 1 1.00 1.86 .0082 1 1.00 1.84 .0083 1 1.00 1.81 .0084 1 1.00 1.84 .0085 1 1.00 1.83 .0086 1 1.00 1.96 .0087 1 1.00 1.89 .0088 1 1.00 1.81 .0089 1 1.00 1.93 .0090 1 1.00 1.81 .0091 3 1.00 1.95 .0092 2 1.00 2.12 .0093 1 1.00 1.81 .0094 1 1.00 1.88 .0095 2 1.00 1.91 .0096 2 1.00 1.71 .0097 1 1.00 2.00 .0098 1 1.00 1.71 .0099 1 1.00 1.86 .0100 2 1.00 1.90 .0101 4 1.00 1.77 .0102 2 1.00 2.09 .0103 1 1.00 1.89 .0104 1 1.00 1.84 .0105 1 1.00 1.84 .0106 1 1.00 1.80 .0107 1 1.00 1.83 .0108 1 1.00 1.73 .0109 1 1.00 1.88 .0110 1 1.00 2.02 .0111 1 1.00 1.98 .0112 1 1.00 1.74 .0113 1 1.00 1.78 .0114 1 1.00 1.78 .0115 1 1.00 1.80 .0116 1 1.00 1.71 .0117 1 1.00 1.68 .0118 1 1.00 1.79 .0119 1 1.00 2.22 .0120 1 1.00 1.87 .0121 1 1.00 2.00 .0122 1 1.00 1.67 .0123 1 1.00 1.82 .0124 1 1.00 1.88 .0125 1 1.00 1.77 .0126 1 1.00 1.85 .0127 1 1.00 1.83 .0128 1 1.00 1.79 .0129 1 1.00 1.82 .0130 1 1.00 1.75 .0131 1 1.00 1.84 .0132 1 1.00 1.84 .0133 1 1.00 1.75 .0134 1 1.00 1.72 .0135 1 1.00 1.72 .0136 1 1.00 1.79 .0137 1 1.00 1.69 .0138 1 1.00 1.71 .0139 1 1.00 1.72 .0140 3 1.00 1.71 .0141 1 1.00 1.73 .0142 1 1.00 1.78 .0143 1 1.00 1.73 .0144 1 1.00 1.65 .0145 1 1.00 1.61 .0146 1 1.00 1.66 .0147 1 1.00 1.69 .0148 1 1.00 1.67 .0149 1 1.00 1.61 .0150 1 1.00 1.77 .0151 1 1.00 1.68 .0152 1 1.00 1.77 .0153 1 1.00 1.65 .0154 1 1.00 1.71 .0155 1 1.00 1.75 .0156 1 1.00 1.73 .0157 1 1.00 1.67 .0158 1 1.00 1.77 .0159 1 1.00 1.63 .0160 1 1.00 1.74 .0161 1 1.00 1.53 .0162 1 1.00 1.69 .0163 2 1.00 1.64 .0164 1 1.00 1.67 .0165 1 1.00 1.80 .0166 1 1.00 1.75 .0167 2 1.00 1.69 .0168 2 1.00 1.76 .0169 2 1.00 1.93 .0170 2 1.00 1.79 .0171 1 1.00 1.63 .0172 1 1.00 1.78 .0173 1 1.00 1.71 .0174 1 1.00 1.75 .0175 1 1.00 1.74 .0176 1 1.00 1.67 .0177 1 1.00 1.65 .0178 1 1.00 1.72 .0179 1 1.00 1.78 .0180 1 1.00 1.74 .0181 1 1.00 1.71 .0182 1 1.00 1.79 .0183 1 1.00 1.67 .0184 1 1.00 1.83 .0185 1 1.00 1.72 .0186 1 1.00 1.96 .0187 1 1.00 1.85 .0188 1 1.00 1.83 .0189 1 1.00 1.76 .0190 1 1.00 1.69 .0191 1 1.00 1.78 .0192 2 1.00 1.81 .0193 1 1.00 1.84 .0194 1 1.00 1.78 .0195 1 1.00 1.74 .0196 1 1.00 1.71 .0197 1 1.00 1.84 .0198 1 1.00 1.81 .0199 2 1.00 1.89 .0200 1 1.00 1.77 .0201 1 1.00 1.82 .0202 1 1.00 1.84 .0203 1 1.00 1.88 .0204 1 1.00 1.85 .0205 1 1.00 2.15 .0206 1 1.00 1.92 .0207 1 1.00 1.88 .0208 1 1.00 1.78 .0209 1 1.00 1.97 .0210 1 1.00 1.94 .0211 1 1.00 1.94 .0212 1 1.00 1.89 .0213 1 1.00 2.08 .0214 1 1.00 2.07 .0215 1 1.00 1.97 .0216 1 1.00 1.87 .0217 1 1.00 2.01 .0218 1 1.00 2.10 .0219 1 1.00 2.05 .0220 1 1.00 2.13 .0221 1 1.00 2.32 .0222 1 1.00 2.39 .0223 1 1.00 2.20 .0224 1 1.00 2.04 .0225 1 1.00 2.10 .0226 1 1.00 2.29 .0227 1 1.00 2.33 .0228 1 1.00 2.22 .0229 1 1.00 2.42 .0230 1 1.00 2.33 .0231 1 1.00 2.19 .0232 2 1.00 2.20 .0233 1 1.00 2.20 .0234 1 1.00 2.25 .0235 1 1.00 2.11 .0236 1 1.00 2.20 .0237 1 1.00 2.16 .0238 1 1.00 2.11 .0239 1 1.00 2.20 .0240 1 1.00 2.33 .0241 1 1.00 2.16 .0242 1 1.00 2.19 .0243 1 1.00 2.24 .0244 1 1.00 2.08 .0245 1 1.00 2.13 .0246 1 1.00 2.29 .0247 1 1.00 2.32 .0248 1 1.00 2.15 .0249 1 1.00 2.23 .0250 1 1.00 2.28 .0251 1 1.00 2.14 .0252 1 1.00 2.18 .0253 1 1.00 2.23 .0254 1 1.00 2.05 .0255 1 1.00 2.16 .0256 1 1.00 2.07 .0257 1 1.00 2.14 .0258 1 1.00 2.26 .0259 1 1.00 2.11 .0260 3 1.00 2.08 .0261 1 1.00 2.09 .0262 1 1.00 1.96 .0263 1 1.00 2.14 .0264 1 1.00 1.98 .0265 1 1.00 2.00 .0266 1 1.00 1.93 .0267 1 1.00 2.04 .0268 1 1.00 1.96 .0269 1 1.00 2.09 .0270 1 1.00 1.98 .0271 1 1.00 1.97 .0272 1 1.00 2.03 .0273 1 1.00 1.91 .0274 1 1.00 1.83 .0275 2 1.00 2.68 .0276 4 1.00 2.15 .0277 1 1.00 1.97 .0278 1 1.00 1.83 .0279 1 1.00 1.94 .0280 1 1.00 1.96 .0281 1 1.00 2.05 .0282 1 1.00 1.98 .0283 1 1.00 1.96 .0284 1 1.00 2.05 .0285 1 1.00 1.90 .0286 1 1.00 1.86 .0287 1 1.00 1.96 .0288 1 1.00 1.99 .0289 1 1.00 1.97 .0290 1 1.00 1.87 .0291 1 1.00 1.84 .0292 1 1.00 1.75 .0293 1 1.00 1.86 .0294 1 1.00 1.80 .0295 1 1.00 2.32 .0296 1 1.00 1.84 .0297 1 1.00 1.70 .0298 1 1.00 1.76 .0299 1 1.00 1.77 .0300 1 1.00 1.84 .0301 2 1.00 1.75 .0302 1 1.00 1.83 .0303 1 1.00 1.96 .0304 1 1.00 1.69 .0305 1 1.00 1.83 .0306 1 1.00 1.73 .0307 2 1.00 2.26 .0308 1 1.00 1.85 .0309 1 1.00 1.82 .0310 1 1.00 1.86 .0311 1 1.00 1.85 .0312 1 1.00 1.90 .0313 1 1.00 1.84 .0314 1 1.00 1.78 .0315 2 1.00 1.93 .0316 1 1.00 1.97 .0317 1 1.00 1.78 .0318 2 1.00 2.00 .0319 2 1.00 1.91 .0320 1 1.00 1.85 .0321 1 1.00 1.82 .0322 1 1.00 1.80 .0323 1 1.00 1.94 .0324 1 1.00 1.96 .0325 1 1.00 1.94 .0326 1 1.00 1.92 .0327 1 1.00 1.87 .0328 1 1.00 1.91 .0329 1 1.00 1.82 .0330 1 1.00 1.86 .0331 1 1.00 1.94 .0332 1 1.00 1.90 .0333 1 1.00 1.86 .0334 1 1.00 1.89 .0335 1 1.00 1.86 .0336 1 1.00 1.84 .0337 1 1.00 1.90 .0338 1 1.00 1.94 .0339 1 1.00 1.92 .0340 1 1.00 1.83 .0341 1 1.00 1.88 .0342 2 1.00 1.97 .0343 1 1.00 1.94 .0344 1 1.00 2.02 .0345 1 1.00 1.85 .0346 1 1.00 1.98 .0347 1 1.00 1.87 .0348 1 1.00 1.97 .0349 1 1.00 1.92 .0350 1 1.00 1.86 .0351 1 1.00 1.86 .0352 1 1.00 1.87 .0353 1 1.00 1.87 .0354 1 1.00 1.89 .0355 1 1.00 1.95 .0356 1 1.00 1.80 .0357 1 1.00 1.86 .0358 1 1.00 2.28 .0359 1 1.00 1.80 .0360 1 1.00 1.88 .0361 1 1.00 2.23 .0362 1 1.00 1.86 .0363 1 1.00 1.90 .0364 1 1.00 1.87 .0365 1 1.00 1.72 .0366 1 1.00 1.87 .0367 2 1.00 1.90 .0368 2 1.00 1.87 .0369 2 1.00 1.83 .0370 1 1.00 1.84 .0371 1 1.00 1.87 .0372 1 1.00 1.82 .0373 1 1.00 1.74 .0374 1 1.00 1.79 .0375 1 1.00 1.82 .0376 1 1.00 1.91 .0377 2 1.00 1.82 .0378 2 1.00 1.88 .0379 2 1.00 1.84 .0380 2 1.00 1.85 .0381 2 1.00 1.84 .0382 2 1.00 1.74 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1.00 1.80 .0439 1 1.00 1.74 .0440 1 1.00 1.62 .0441 1 1.00 1.74 .0442 1 1.00 1.66 .0443 2 1.00 1.77 .0444 1 1.00 1.79 .0445 1 1.00 1.72 .0446 1 1.00 1.73 .0447 1 1.00 1.63 .0448 1 1.00 1.56 .0449 1 1.00 1.68 .0450 1 1.00 1.65 .0451 1 1.00 1.77 .0452 1 1.00 1.71 .0453 1 1.00 1.67 .0454 1 1.00 1.64 .0455 1 1.00 1.58 .0456 1 1.00 1.66 .0457 1 1.00 1.67 .0458 1 1.00 1.77 .0459 1 1.00 1.65 .0460 1 1.00 1.71 .0461 1 1.00 1.69 .0462 1 1.00 1.73 .0463 1 1.00 1.68 .0464 1 1.00 1.66 .0465 1 1.00 1.79 .0466 1 1.00 1.69 .0467 1 1.00 1.63 .0468 1 1.00 1.75 .0469 1 1.00 1.69 .0470 1 1.00 1.61 .0471 1 1.00 1.68 .0472 1 1.00 1.72 .0473 1 1.00 1.70 .0474 1 1.00 1.73 .0475 1 1.00 1.69 .0476 3 1.00 1.72 .0477 3 1.00 1.70 .0478 1 1.00 1.68 .0479 1 1.00 1.72 .0480 1 1.00 1.66 .0481 1 1.00 1.70 .0482 1 1.00 1.64 .0483 1 1.00 1.58 .0484 1 1.00 1.69 .0485 1 1.00 1.70 .0486 1 1.00 1.70 .0487 1 1.00 1.64 .0488 2 1.00 1.69 .0489 1 1.00 1.76 .0490 1 1.00 1.62 .0491 1 1.00 1.59 .0492 1 1.00 1.63 .0493 1 1.00 1.68 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.1715 1 1.00 3.71 .1716 1 1.00 3.43 .1717 1 1.00 3.36 .1718 2 1.00 3.39 .1719 1 1.00 3.83 .1720 1 1.00 3.43 .1721 1 1.00 3.67 .1722 1 1.00 3.87 .1723 1 1.00 3.44 .1724 1 1.00 3.48 .1725 1 1.00 3.29 .1726 1 1.00 3.58 .1727 1 1.00 3.76 .1728 1 1.00 3.42 .1729 1 1.00 3.32 .1730 1 1.00 3.68 .1731 1 1.00 3.38 .1732 1 1.00 3.46 .1733 1 1.00 3.65 .1734 1 1.00 3.56 .1735 1 1.00 3.54 .1736 1 1.00 3.51 .1737 1 1.00 3.57 .1738 1 1.00 4.49 .1739 1 1.00 4.42 .1740 1 1.00 3.74 .1741 1 1.00 3.62 .1742 1 1.00 3.55 .1743 1 1.00 3.61 .1744 1 1.00 3.85 .1745 1 1.00 3.47 .1746 1 1.00 3.31 .1747 1 1.00 3.52 .1748 1 1.00 3.50 .1749 1 1.00 3.45 .1750 1 1.00 3.50 .1751 1 1.00 3.42 .1752 1 1.00 3.29 .1753 1 1.00 3.98 .1754 1 1.00 4.04 .1755 1 1.00 3.48 .1756 1 1.00 3.53 .1757 1 1.00 3.54 .1758 1 1.00 3.48 .1759 1 1.00 3.47 .1760 1 1.00 3.73 .1761 1 1.00 3.43 .1762 1 1.00 3.52 .1763 1 1.00 3.53 .1764 2 1.00 3.37 .1765 2 1.00 3.43 .1766 1 1.00 3.50 .1767 1 1.00 3.45 .1768 1 1.00 3.41 .1769 2 1.00 3.37 .1770 1 1.00 3.57 .1771 1 1.00 3.60 .1772 1 1.00 3.43 .1773 1 1.00 3.56 .1774 1 1.00 3.60 .1775 1 1.00 3.55 .1776 1 1.00 3.24 .1777 1 1.00 3.79 .1778 1 1.00 3.89 .1779 2 1.00 3.67 .1780 2 1.00 3.35 .1781 2 1.00 3.68 .1782 1 1.00 3.41 .1783 1 1.00 3.30 .1784 1 1.00 3.52 .1785 1 1.00 3.51 .1786 1 1.00 3.50 .1787 1 1.00 3.51 .1788 1 1.00 3.64 .1789 1 1.00 3.44 .1790 1 1.00 3.34 .1791 1 1.00 3.56 .1792 1 1.00 3.37 .1793 1 1.00 3.29 .1794 1 1.00 3.36 .1795 1 1.00 3.36 .1796 1 1.00 3.43 .1797 1 1.00 3.50 .1798 1 1.00 3.37 .1799 1 1.00 3.30 .1800 1 1.00 3.30 .1801 1 1.00 3.39 .1802 1 1.00 3.44 .1803 1 1.00 3.43 .1804 1 1.00 3.28 .1805 3 1.00 3.82 .1806 1 1.00 3.60 .1807 1 1.00 3.48 .1808 2 1.00 3.60 .1809 1 1.00 3.58 .1810 1 1.00 3.30 .1811 1 1.00 3.37 .1812 1 1.00 3.36 .1813 1 1.00 3.33 .1814 1 1.00 3.51 .1815 1 1.00 3.46 .1816 1 1.00 3.59 .1817 1 1.00 3.40 .1818 1 1.00 3.72 .1819 1 1.00 3.49 .1820 1 1.00 3.40 .1821 1 1.00 3.61 .1822 1 1.00 3.54 .1823 1 1.00 3.67 .1824 1 1.00 3.53 .1825 1 1.00 3.71 .1826 1 1.00 3.63 .1827 1 1.00 3.57 .1828 1 1.00 3.62 .1829 1 1.00 3.46 .1830 1 1.00 3.56 .1831 1 1.00 3.46 .1832 1 1.00 3.63 .1833 1 1.00 3.46 .1834 1 1.00 3.51 .1835 1 1.00 3.52 .1836 1 1.00 3.54 .1837 1 1.00 3.66 .1838 1 1.00 3.48 .1839 1 1.00 3.51 .1840 1 1.00 3.48 .1841 1 1.00 3.39 .1842 1 1.00 3.55 .1843 1 1.00 3.31 .1844 1 1.00 3.57 .1845 1 1.00 3.58 .1846 1 1.00 3.54 .1847 2 1.00 3.70 .1848 1 1.00 3.54 .1849 1 1.00 3.58 .1850 1 1.00 3.44 .1851 1 1.00 3.50 .1852 1 1.00 3.29 .1853 1 1.00 3.51 .1854 1 1.00 3.45 .1855 1 1.00 3.53 .1856 1 1.00 3.59 .1857 1 1.00 3.38 .1858 1 1.00 3.61 .1859 1 1.00 3.52 .1860 1 1.00 3.44 .1861 1 1.00 3.60 .1862 1 1.00 3.73 .1863 2 1.00 3.64 .1864 1 1.00 4.17 .1865 1 1.00 3.61 .1866 1 1.00 3.61 .1867 1 1.00 3.55 .1868 1 1.00 3.69 .1869 1 1.00 3.73 .1870 1 1.00 3.61 .1871 1 1.00 3.70 .1872 1 1.00 3.53 .1873 1 1.00 3.51 .1874 1 1.00 4.09 .1875 1 1.00 3.76 .1876 1 1.00 3.92 .1877 1 1.00 3.80 .1878 1 1.00 3.88 .1879 1 1.00 3.63 .1880 1 1.00 3.56 .1881 1 1.00 3.55 .1882 1 1.00 3.46 .1883 1 1.00 3.56 .1884 1 1.00 3.57 .1885 1 1.00 3.47 .1886 1 1.00 3.58 .1887 1 1.00 3.65 .1888 1 1.00 3.71 .1889 1 1.00 3.52 .1890 1 1.00 3.51 .1891 1 1.00 3.62 .1892 1 1.00 3.48 .1893 1 1.00 3.62 .1894 1 1.00 3.77 .1895 1 1.00 3.69 .1896 1 1.00 3.62 .1897 1 1.00 4.03 .1898 1 1.00 3.69 .1899 1 1.00 3.83 .1900 1 1.00 3.70 .1901 1 1.00 3.88 .1902 1 1.00 3.73 .1903 1 1.00 3.74 .1904 1 1.00 3.95 .1905 1 1.00 3.99 .1906 1 1.00 4.06 .1907 1 1.00 3.96 .1908 2 1.00 4.14 .1909 1 1.00 4.04 .1910 1 1.00 3.94 .1911 1 1.00 3.89 .1912 1 1.00 3.66 .1913 1 1.00 3.49 .1914 1 1.00 3.65 .1915 1 1.00 3.60 .1916 1 1.00 3.73 .1917 1 1.00 3.79 .1918 1 1.00 3.66 .1919 1 1.00 3.74 .1920 1 1.00 3.68 .1921 1 1.00 3.83 .1922 1 1.00 3.80 .1923 1 1.00 3.84 .1924 1 1.00 3.70 .1925 1 1.00 3.61 .1926 1 1.00 3.76 .1927 1 1.00 3.89 .1928 1 1.00 3.62 .1929 1 1.00 3.72 .1930 1 1.00 3.72 .1931 1 1.00 3.68 .1932 1 1.00 3.75 .1933 1 1.00 3.75 .1934 1 1.00 3.83 .1935 1 1.00 3.62 .1936 1 1.00 3.66 .1937 2 1.00 4.93 .1938 1 1.00 4.13 .1939 1 1.00 3.69 .1940 1 1.00 3.90 .1941 1 1.00 3.95 .1942 1 1.00 3.85 .1943 1 1.00 3.79 .1944 1 1.00 3.94 .1945 1 1.00 3.54 .1946 1 1.00 3.67 .1947 1 1.00 3.95 .1948 1 1.00 3.82 .1949 1 1.00 4.06 .1950 1 1.00 3.74 .1951 1 1.00 3.47 .1952 1 1.00 4.22 .1953 3 1.00 3.71 .1954 1 1.00 3.75 .1955 1 1.00 3.70 .1956 1 1.00 3.72 .1957 1 1.00 3.88 .1958 1 1.00 3.57 .1959 1 1.00 3.62 .1960 1 1.00 3.80 .1961 1 1.00 3.81 .1962 1 1.00 3.74 .1963 1 1.00 3.64 .1964 1 1.00 3.93 .1965 1 1.00 3.76 .1966 1 1.00 3.55 .1967 1 1.00 3.85 .1968 1 1.00 3.76 .1969 1 1.00 3.87 .1970 1 1.00 3.95 .1971 1 1.00 3.98 .1972 1 1.00 3.77 .1973 1 1.00 3.85 .1974 1 1.00 3.80 .1975 1 1.00 3.87 .1976 1 1.00 3.87 .1977 1 1.00 4.16 .1978 1 1.00 3.85 .1979 1 1.00 3.95 .1980 1 1.00 3.73 .1981 1 1.00 3.84 .1982 1 1.00 3.71 .1983 1 1.00 4.38 .1984 1 1.00 3.86 .1985 1 1.00 3.85 .1986 1 1.00 3.88 .1987 1 1.00 3.86 .1988 1 1.00 3.72 .1989 1 1.00 3.74 .1990 1 1.00 3.79 .1991 1 1.00 3.92 .1992 1 1.00 3.70 .1993 1 1.00 3.73 .1994 1 1.00 3.73 .1995 1 1.00 3.70 .1996 1 1.00 3.65 .1997 1 1.00 3.70 .1998 1 1.00 3.69 .1999 1 1.00 3.95 .2000 1 1.00 3.67 .2001 1 1.00 3.81 .2002 1 1.00 4.19 .2003 2 1.00 3.68 .2004 1 1.00 3.66 .2005 1 1.00 3.80 .2006 1 1.00 3.79 .2007 1 1.00 3.53 .2008 1 1.00 3.61 .2009 1 1.00 3.67 .2010 1 1.00 3.72 .2011 1 1.00 3.76 .2012 1 1.00 3.61 .2013 1 1.00 3.76 .2014 1 1.00 4.20 .2015 1 1.00 3.64 .2016 1 1.00 3.51 .2017 1 1.00 3.44 .2018 1 1.00 3.56 .2019 1 1.00 3.55 .2020 1 1.00 3.53 .2021 1 1.00 3.66 .2022 1 1.00 3.67 .2023 1 1.00 3.61 .2024 1 1.00 3.73 .2025 1 1.00 3.67 .2026 1 1.00 3.58 .2027 1 1.00 3.81 .2028 1 1.00 3.71 .2029 1 1.00 3.54 .2030 1 1.00 3.63 .2031 1 1.00 3.56 .2032 1 1.00 3.39 .2033 1 1.00 3.58 .2034 1 1.00 3.59 .2035 1 1.00 3.62 .2036 1 1.00 3.38 .2037 1 1.00 3.25 .2038 1 1.00 3.11 .2039 1 1.00 3.32 .2040 1 1.00 3.13 .2041 1 1.00 3.39 .2042 1 1.00 3.32 .2043 1 1.00 3.43 .2044 1 1.00 3.39 .2045 1 1.00 3.59 .2046 1 1.00 3.84 .2047 1 1.00 3.53 EXTRACT_IMAGE: r1: masked 259 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITFLATWIDTH: r1: Median spatial widths = 0.92 0.93 0.91 0.92 pix (LL LR UL UR) SPCALIB: r1: Using Cubic, median chi squareds: vs SPCALIB: r1: Found 0 bright pixels in extracted flat sdR-r1-00034673.fit SPCALIB: r1: Tracing flat # 2 of 2 SPCALIB: r1: Reading flat sdR-r1-00034676.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.95557 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1184.40 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1164. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.68300 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1234.18 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1214. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Tracing 320 fibers in sdR-r1-00034676.fit TRACE320CEN: r1: Big gap at fiber= 20, x= 149.75, dx= 7.98 TRACE320CEN: r1: Big gap at fiber= 40, x= 276.60, dx= 8.22 TRACE320CEN: r1: Big gap at fiber= 60, x= 402.31, dx= 7.55 TRACE320CEN: r1: Big gap at fiber= 80, x= 528.87, dx= 8.73 TRACE320CEN: r1: Big gap at fiber= 100, x= 654.07, dx= 7.96 TRACE320CEN: r1: Big gap at fiber= 120, x= 779.64, dx= 8.54 TRACE320CEN: r1: Big gap at fiber= 140, x= 904.72, dx= 8.47 TRACE320CEN: r1: Big gap at fiber= 160, x=1029.22, dx= 7.93 TRACE320CEN: r1: Big gap at fiber= 180, x=1154.67, dx= 8.77 TRACE320CEN: r1: Big gap at fiber= 200, x=1279.66, dx= 7.74 TRACE320CEN: r1: Big gap at fiber= 220, x=1405.34, dx= 8.53 TRACE320CEN: r1: Big gap at fiber= 240, x=1530.66, dx= 7.50 TRACE320CEN: r1: Big gap at fiber= 260, x=1656.77, dx= 8.43 TRACE320CEN: r1: Big gap at fiber= 280, x=1782.89, dx= 7.89 TRACE320CEN: r1: Big gap at fiber= 300, x=1910.09, dx= 8.40 TRACE320CRUDE: r1: Warning: Fixing traces: 11 45 90 98 103 145 173 174 187 188 216 249 251 268 269 294 297 298 305 316 SPCALIB: r1: Fitting traces in sdR-r1-00034676.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 22 13 2048 24 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 22 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 51 45 2048 0 46 2048 10 47 2048 1 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 1 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 4 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 20 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 91 100 2048 36 101 2048 0 102 2048 0 103 2048 0 104 2048 77 105 2048 7 106 2048 0 107 2048 0 108 2048 1 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 30 137 2048 77 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 1 143 2048 0 144 2048 11 145 2048 0 146 2048 98 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 4 173 2048 0 174 2048 0 175 2048 15 176 2048 1 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 1 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 2 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 19 248 2048 76 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 2 266 2048 12 267 2048 49 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 41 304 2048 33 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 839 SPCALIB: r1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 2 1.00 1.63 .0001 2 1.00 1.32 .0002 2 1.00 1.31 .0003 2 1.00 1.36 .0004 2 1.00 1.32 .0005 2 1.00 1.24 .0006 2 1.00 1.25 .0007 2 1.00 1.36 .0008 2 1.00 1.49 .0009 2 1.00 1.41 .0010 2 1.00 1.35 .0011 2 1.00 1.34 .0012 2 1.00 1.30 .0013 2 1.00 1.41 .0014 2 1.00 1.49 .0015 2 1.00 1.41 .0016 2 1.00 1.40 .0017 2 1.00 1.34 .0018 2 1.00 1.39 .0019 2 1.00 1.45 .0020 2 1.00 1.34 .0021 2 1.00 1.34 .0022 2 1.00 1.40 .0023 2 1.00 1.51 .0024 2 1.00 1.42 .0025 2 1.00 1.34 .0026 2 1.00 1.55 .0027 3 1.00 1.50 .0028 2 1.00 1.42 .0029 2 1.00 1.49 .0030 2 1.00 1.49 .0031 2 1.00 1.47 .0032 2 1.00 1.51 .0033 2 1.00 1.50 .0034 2 1.00 1.55 .0035 2 1.00 1.52 .0036 2 1.00 1.48 .0037 2 1.00 1.57 .0038 2 1.00 1.48 .0039 2 1.00 1.72 .0040 2 1.00 1.63 .0041 2 1.00 1.66 .0042 2 1.00 1.88 .0043 2 1.00 1.66 .0044 2 1.00 1.66 .0045 2 1.00 1.60 .0046 2 1.00 1.67 .0047 1 1.00 1.84 .0048 1 1.00 2.10 .0049 1 1.00 1.95 .0050 1 1.00 1.92 .0051 1 1.00 2.01 .0052 1 1.00 2.52 .0053 1 1.00 1.90 .0054 1 1.00 1.93 .0055 1 1.00 1.88 .0056 1 1.00 1.88 .0057 1 1.00 1.93 .0058 1 1.00 1.80 .0059 1 1.00 1.89 .0060 1 1.00 1.90 .0061 1 1.00 1.92 .0062 1 1.00 1.91 .0063 1 1.00 1.79 .0064 1 1.00 1.89 .0065 1 1.00 1.78 .0066 1 1.00 1.88 .0067 1 1.00 1.88 .0068 1 1.00 1.99 .0069 2 1.00 2.04 .0070 1 1.00 1.93 .0071 1 1.00 1.77 .0072 1 1.00 1.86 .0073 1 1.00 1.98 .0074 2 1.00 1.91 .0075 1 1.00 1.99 .0076 1 1.00 1.95 .0077 1 1.00 1.96 .0078 1 1.00 1.98 .0079 1 1.00 1.90 .0080 1 1.00 1.89 .0081 1 1.00 1.99 .0082 1 1.00 2.00 .0083 3 1.00 1.93 .0084 2 1.00 2.04 .0085 1 1.00 1.87 .0086 1 1.00 1.95 .0087 1 1.00 1.98 .0088 2 1.00 2.00 .0089 1 1.00 1.97 .0090 2 1.00 1.90 .0091 1 1.00 1.83 .0092 1 1.00 1.89 .0093 1 1.00 1.97 .0094 1 1.00 1.97 .0095 1 1.00 1.88 .0096 1 1.00 1.75 .0097 1 1.00 2.16 .0098 1 1.00 1.83 .0099 1 1.00 1.83 .0100 1 1.00 1.95 .0101 1 1.00 1.83 .0102 1 1.00 1.78 .0103 1 1.00 1.79 .0104 2 1.00 1.83 .0105 1 1.00 1.82 .0106 1 1.00 1.87 .0107 1 1.00 1.81 .0108 1 1.00 1.88 .0109 2 1.00 2.09 .0110 1 1.00 1.99 .0111 1 1.00 1.84 .0112 1 1.00 2.01 .0113 1 1.00 1.88 .0114 2 1.00 1.82 .0115 1 1.00 1.83 .0116 1 1.00 1.90 .0117 1 1.00 1.84 .0118 1 1.00 2.06 .0119 1 1.00 1.72 .0120 1 1.00 1.89 .0121 1 1.00 1.87 .0122 1 1.00 1.93 .0123 1 1.00 1.89 .0124 1 1.00 1.85 .0125 1 1.00 1.92 .0126 1 1.00 1.96 .0127 1 1.00 1.90 .0128 1 1.00 1.85 .0129 1 1.00 1.91 .0130 1 1.00 1.82 .0131 1 1.00 1.91 .0132 1 1.00 1.90 .0133 1 1.00 1.87 .0134 1 1.00 1.93 .0135 1 1.00 1.82 .0136 1 1.00 1.89 .0137 1 1.00 1.82 .0138 1 1.00 1.82 .0139 1 1.00 1.80 .0140 1 1.00 1.86 .0141 1 1.00 1.77 .0142 1 1.00 1.72 .0143 1 1.00 1.85 .0144 1 1.00 1.66 .0145 1 1.00 1.74 .0146 1 1.00 1.81 .0147 1 1.00 1.75 .0148 1 1.00 1.85 .0149 1 1.00 1.76 .0150 1 1.00 1.82 .0151 1 1.00 1.77 .0152 2 1.00 1.78 .0153 1 1.00 1.74 .0154 1 1.00 1.78 .0155 1 1.00 1.81 .0156 1 1.00 1.79 .0157 1 1.00 2.13 .0158 2 1.00 1.85 .0159 1 1.00 1.72 .0160 1 1.00 1.74 .0161 1 1.00 1.74 .0162 1 1.00 1.83 .0163 2 1.00 1.70 .0164 1 1.00 1.68 .0165 1 1.00 1.69 .0166 1 1.00 1.86 .0167 1 1.00 1.76 .0168 1 1.00 1.80 .0169 1 1.00 1.78 .0170 1 1.00 1.80 .0171 1 1.00 1.77 .0172 1 1.00 1.74 .0173 1 1.00 1.70 .0174 2 1.00 1.84 .0175 1 1.00 1.90 .0176 1 1.00 1.68 .0177 1 1.00 1.77 .0178 2 1.00 1.79 .0179 1 1.00 1.73 .0180 1 1.00 1.81 .0181 1 1.00 1.79 .0182 1 1.00 2.01 .0183 1 1.00 1.73 .0184 1 1.00 1.93 .0185 1 1.00 1.81 .0186 1 1.00 1.77 .0187 1 1.00 1.84 .0188 1 1.00 1.83 .0189 1 1.00 1.81 .0190 1 1.00 1.86 .0191 1 1.00 1.87 .0192 1 1.00 1.90 .0193 1 1.00 1.88 .0194 1 1.00 1.83 .0195 1 1.00 1.89 .0196 1 1.00 1.91 .0197 1 1.00 1.89 .0198 1 1.00 1.86 .0199 1 1.00 1.95 .0200 2 1.00 1.88 .0201 1 1.00 2.11 .0202 1 1.00 1.84 .0203 1 1.00 1.95 .0204 1 1.00 1.99 .0205 1 1.00 1.91 .0206 1 1.00 1.96 .0207 1 1.00 2.01 .0208 1 1.00 1.91 .0209 1 1.00 2.05 .0210 1 1.00 1.97 .0211 1 1.00 2.02 .0212 1 1.00 2.09 .0213 1 1.00 1.97 .0214 1 1.00 2.16 .0215 1 1.00 2.13 .0216 1 1.00 2.11 .0217 1 1.00 2.14 .0218 3 1.00 2.19 .0219 3 1.00 2.08 .0220 1 1.00 2.12 .0221 1 1.00 2.11 .0222 1 1.00 2.36 .0223 1 1.00 2.21 .0224 1 1.00 2.13 .0225 1 1.00 2.20 .0226 1 1.00 2.21 .0227 1 1.00 2.23 .0228 1 1.00 2.32 .0229 1 1.00 2.37 .0230 1 1.00 2.30 .0231 1 1.00 2.26 .0232 1 1.00 2.26 .0233 1 1.00 2.32 .0234 1 1.00 2.19 .0235 1 1.00 2.27 .0236 1 1.00 2.28 .0237 1 1.00 2.42 .0238 2 1.00 2.37 .0239 1 1.00 2.18 .0240 1 1.00 2.36 .0241 1 1.00 2.26 .0242 1 1.00 2.15 .0243 1 1.00 2.19 .0244 1 1.00 2.22 .0245 1 1.00 2.32 .0246 1 1.00 2.68 .0247 1 1.00 2.13 .0248 1 1.00 2.17 .0249 1 1.00 2.38 .0250 1 1.00 2.15 .0251 1 1.00 2.26 .0252 1 1.00 2.17 .0253 1 1.00 2.20 .0254 1 1.00 2.18 .0255 1 1.00 2.14 .0256 1 1.00 2.08 .0257 1 1.00 2.12 .0258 1 1.00 2.12 .0259 1 1.00 2.18 .0260 1 1.00 2.09 .0261 1 1.00 2.05 .0262 1 1.00 2.13 .0263 1 1.00 2.02 .0264 1 1.00 2.02 .0265 2 1.00 2.06 .0266 1 1.00 2.01 .0267 2 1.00 2.11 .0268 1 1.00 2.07 .0269 1 1.00 2.13 .0270 1 1.00 1.95 .0271 1 1.00 1.93 .0272 1 1.00 1.94 .0273 1 1.00 1.98 .0274 1 1.00 1.92 .0275 1 1.00 1.94 .0276 1 1.00 2.00 .0277 1 1.00 1.99 .0278 1 1.00 2.12 .0279 1 1.00 2.08 .0280 1 1.00 2.12 .0281 1 1.00 1.97 .0282 1 1.00 2.03 .0283 1 1.00 1.91 .0284 1 1.00 1.92 .0285 2 1.00 1.79 .0286 2 1.00 2.20 .0287 1 1.00 2.01 .0288 1 1.00 1.99 .0289 1 1.00 1.81 .0290 1 1.00 1.80 .0291 1 1.00 1.82 .0292 1 1.00 1.92 .0293 1 1.00 1.99 .0294 1 1.00 1.88 .0295 1 1.00 1.93 .0296 1 1.00 1.81 .0297 1 1.00 1.96 .0298 1 1.00 1.90 .0299 1 1.00 1.86 .0300 1 1.00 1.84 .0301 1 1.00 1.91 .0302 1 1.00 1.92 .0303 1 1.00 1.81 .0304 1 1.00 1.87 .0305 1 1.00 1.91 .0306 1 1.00 1.79 .0307 1 1.00 1.80 .0308 1 1.00 1.78 .0309 1 1.00 1.81 .0310 1 1.00 1.91 .0311 1 1.00 1.83 .0312 1 1.00 1.98 .0313 1 1.00 1.95 .0314 1 1.00 1.91 .0315 1 1.00 1.94 .0316 1 1.00 1.93 .0317 1 1.00 1.87 .0318 1 1.00 1.76 .0319 1 1.00 1.87 .0320 1 1.00 1.80 .0321 1 1.00 1.93 .0322 2 1.00 1.87 .0323 2 1.00 1.74 .0324 1 1.00 1.87 .0325 1 1.00 1.88 .0326 1 1.00 1.93 .0327 1 1.00 1.84 .0328 1 1.00 1.79 .0329 2 1.00 2.30 .0330 1 1.00 1.88 .0331 1 1.00 1.84 .0332 1 1.00 1.86 .0333 1 1.00 1.88 .0334 1 1.00 1.91 .0335 1 1.00 1.91 .0336 1 1.00 1.86 .0337 1 1.00 1.79 .0338 1 1.00 2.08 .0339 1 1.00 1.91 .0340 1 1.00 2.03 .0341 1 1.00 2.04 .0342 1 1.00 1.89 .0343 1 1.00 2.00 .0344 1 1.00 2.04 .0345 1 1.00 1.95 .0346 1 1.00 1.93 .0347 1 1.00 1.91 .0348 1 1.00 1.99 .0349 1 1.00 1.99 .0350 1 1.00 2.05 .0351 1 1.00 2.10 .0352 1 1.00 1.95 .0353 1 1.00 1.98 .0354 1 1.00 1.86 .0355 1 1.00 1.92 .0356 1 1.00 2.05 .0357 1 1.00 1.93 .0358 1 1.00 1.87 .0359 1 1.00 1.96 .0360 1 1.00 1.90 .0361 1 1.00 1.99 .0362 1 1.00 1.76 .0363 1 1.00 1.88 .0364 1 1.00 1.95 .0365 1 1.00 1.87 .0366 1 1.00 1.81 .0367 1 1.00 1.87 .0368 1 1.00 1.82 .0369 2 1.00 1.82 .0370 2 1.00 1.87 .0371 2 1.00 1.81 .0372 2 1.00 1.92 .0373 2 1.00 1.85 .0374 2 1.00 1.86 .0375 2 1.00 1.77 .0376 2 1.00 1.98 .0377 2 1.00 1.92 .0378 2 1.00 1.81 .0379 2 1.00 1.91 .0380 2 1.00 2.01 .0381 2 1.00 1.86 .0382 2 1.00 1.94 .0383 2 1.00 1.90 .0384 2 1.00 2.01 .0385 2 1.00 1.85 .0386 2 1.00 1.82 .0387 2 1.00 1.78 .0388 3 1.00 1.82 .0389 2 1.00 2.01 .0390 2 1.00 1.88 .0391 2 1.00 1.83 .0392 2 1.00 1.80 .0393 2 1.00 1.91 .0394 2 1.00 1.74 .0395 1 1.00 2.12 .0396 1 1.00 2.12 .0397 2 1.00 1.77 .0398 1 1.00 2.02 .0399 1 1.00 1.93 .0400 1 1.00 1.91 .0401 1 1.00 1.94 .0402 1 1.00 1.82 .0403 1 1.00 1.85 .0404 1 1.00 1.91 .0405 1 1.00 1.84 .0406 2 1.00 1.92 .0407 1 1.00 1.81 .0408 1 1.00 1.73 .0409 1 1.00 1.92 .0410 1 1.00 1.76 .0411 1 1.00 1.95 .0412 1 1.00 1.80 .0413 1 1.00 1.84 .0414 1 1.00 1.83 .0415 1 1.00 1.80 .0416 1 1.00 1.83 .0417 1 1.00 1.85 .0418 1 1.00 1.73 .0419 1 1.00 1.86 .0420 1 1.00 1.72 .0421 1 1.00 1.70 .0422 1 1.00 1.76 .0423 1 1.00 1.79 .0424 1 1.00 1.80 .0425 1 1.00 1.66 .0426 1 1.00 1.77 .0427 1 1.00 1.70 .0428 1 1.00 1.78 .0429 1 1.00 1.81 .0430 1 1.00 1.69 .0431 2 1.00 1.84 .0432 1 1.00 1.73 .0433 1 1.00 1.81 .0434 1 1.00 1.76 .0435 1 1.00 1.83 .0436 1 1.00 1.64 .0437 1 1.00 1.78 .0438 1 1.00 1.70 .0439 1 1.00 1.71 .0440 1 1.00 1.75 .0441 1 1.00 1.86 .0442 1 1.00 1.67 .0443 1 1.00 1.67 .0444 1 1.00 1.75 .0445 1 1.00 1.67 .0446 1 1.00 1.74 .0447 1 1.00 1.68 .0448 1 1.00 1.64 .0449 1 1.00 1.73 .0450 1 1.00 1.67 .0451 1 1.00 1.75 .0452 1 1.00 1.76 .0453 1 1.00 1.59 .0454 1 1.00 1.68 .0455 1 1.00 1.67 .0456 1 1.00 1.59 .0457 1 1.00 1.61 .0458 2 1.00 1.75 .0459 1 1.00 1.58 .0460 1 1.00 1.62 .0461 1 1.00 1.66 .0462 1 1.00 1.69 .0463 1 1.00 1.66 .0464 1 1.00 1.66 .0465 1 1.00 1.72 .0466 1 1.00 1.69 .0467 1 1.00 1.72 .0468 1 1.00 1.66 .0469 1 1.00 1.72 .0470 1 1.00 1.57 .0471 1 1.00 1.66 .0472 1 1.00 1.70 .0473 1 1.00 1.76 .0474 1 1.00 1.66 .0475 1 1.00 1.80 .0476 1 1.00 1.70 .0477 1 1.00 1.74 .0478 1 1.00 1.66 .0479 1 1.00 1.62 .0480 1 1.00 1.59 .0481 1 1.00 1.72 .0482 1 1.00 1.83 .0483 2 1.00 1.63 .0484 1 1.00 1.95 .0485 1 1.00 1.76 .0486 1 1.00 1.82 .0487 1 1.00 1.65 .0488 1 1.00 1.79 .0489 1 1.00 1.66 .0490 1 1.00 1.66 .0491 2 1.00 1.68 .0492 1 1.00 1.68 .0493 1 1.00 1.72 .0494 1 1.00 1.71 .0495 1 1.00 1.78 .0496 1 1.00 1.89 .0497 1 1.00 1.70 .0498 1 1.00 1.64 .0499 1 1.00 1.72 .0500 1 1.00 1.67 .0501 1 1.00 1.60 .0502 1 1.00 1.66 .0503 1 1.00 1.76 .0504 3 1.00 1.67 .0505 1 1.00 1.92 .0506 1 1.00 1.68 .0507 1 1.00 1.62 .0508 1 1.00 1.59 .0509 1 1.00 1.61 .0510 1 1.00 1.74 .0511 2 1.00 1.83 .0512 2 1.00 1.76 .0513 1 1.00 1.68 .0514 1 1.00 1.75 .0515 1 1.00 1.72 .0516 1 1.00 1.71 .0517 1 1.00 1.78 .0518 1 1.00 1.70 .0519 1 1.00 1.67 .0520 1 1.00 1.78 .0521 1 1.00 1.81 .0522 1 1.00 1.70 .0523 1 1.00 1.69 .0524 1 1.00 1.83 .0525 1 1.00 1.78 .0526 2 1.00 1.80 .0527 1 1.00 1.93 .0528 1 1.00 1.86 .0529 1 1.00 1.83 .0530 2 1.00 2.03 .0531 1 1.00 1.84 .0532 1 1.00 1.80 .0533 1 1.00 1.78 .0534 1 1.00 1.93 .0535 1 1.00 1.94 .0536 1 1.00 1.90 .0537 1 1.00 1.81 .0538 1 1.00 1.86 .0539 2 1.00 1.61 .0540 2 1.00 1.72 .0541 2 1.00 1.64 .0542 2 1.00 1.69 .0543 1 1.00 1.93 .0544 2 1.00 1.65 .0545 3 1.00 1.74 .0546 3 1.00 1.58 .0547 2 1.00 1.69 .0548 3 1.00 1.67 .0549 2 1.00 1.67 .0550 3 1.00 1.75 .0551 2 1.00 1.67 .0552 2 1.00 1.62 .0553 2 1.00 1.60 .0554 2 1.00 1.71 .0555 2 1.00 1.74 .0556 2 1.00 1.76 .0557 2 1.00 1.75 .0558 2 1.00 1.88 .0559 4 1.00 1.87 .0560 2 1.00 1.73 .0561 2 1.00 1.78 .0562 2 1.00 1.67 .0563 1 1.00 1.81 .0564 1 1.00 1.67 .0565 1 1.00 1.73 .0566 1 1.00 1.80 .0567 1 1.00 1.82 .0568 1 1.00 1.71 .0569 1 1.00 1.86 .0570 1 1.00 1.89 .0571 1 1.00 1.85 .0572 2 1.00 1.85 .0573 1 1.00 1.94 .0574 2 1.00 1.78 .0575 1 1.00 1.77 .0576 1 1.00 1.77 .0577 1 1.00 1.77 .0578 1 1.00 1.74 .0579 1 1.00 1.74 .0580 1 1.00 1.79 .0581 1 1.00 1.80 .0582 1 1.00 1.86 .0583 1 1.00 1.81 .0584 1 1.00 1.93 .0585 1 1.00 1.80 .0586 1 1.00 1.86 .0587 2 1.00 1.89 .0588 1 1.00 1.89 .0589 1 1.00 1.85 .0590 1 1.00 1.83 .0591 1 1.00 1.93 .0592 1 1.00 1.84 .0593 1 1.00 1.97 .0594 1 1.00 1.88 .0595 2 1.00 1.79 .0596 1 1.00 2.16 .0597 1 1.00 2.02 .0598 1 1.00 1.95 .0599 2 1.00 1.90 .0600 1 1.00 2.12 .0601 1 1.00 1.98 .0602 1 1.00 1.98 .0603 1 1.00 2.00 .0604 2 1.00 2.00 .0605 1 1.00 2.08 .0606 1 1.00 2.01 .0607 1 1.00 2.03 .0608 1 1.00 2.13 .0609 1 1.00 2.01 .0610 1 1.00 2.03 .0611 2 1.00 2.06 .0612 3 1.00 2.19 .0613 2 1.00 2.02 .0614 1 1.00 1.96 .0615 1 1.00 2.02 .0616 1 1.00 2.12 .0617 1 1.00 1.91 .0618 1 1.00 2.10 .0619 1 1.00 2.00 .0620 1 1.00 2.03 .0621 1 1.00 2.37 .0622 1 1.00 2.10 .0623 1 1.00 2.07 .0624 1 1.00 2.08 .0625 1 1.00 1.99 .0626 1 1.00 1.99 .0627 1 1.00 2.26 .0628 3 1.00 2.11 .0629 1 1.00 2.14 .0630 1 1.00 2.07 .0631 1 1.00 2.17 .0632 2 1.00 2.13 .0633 1 1.00 2.14 .0634 1 1.00 2.03 .0635 1 1.00 2.13 .0636 1 1.00 2.11 .0637 2 1.00 2.10 .0638 1 1.00 2.18 .0639 1 1.00 2.21 .0640 1 1.00 2.05 .0641 1 1.00 2.05 .0642 1 1.00 2.04 .0643 1 1.00 2.10 .0644 1 1.00 2.10 .0645 1 1.00 2.10 .0646 1 1.00 2.11 .0647 1 1.00 2.23 .0648 1 1.00 2.07 .0649 1 1.00 2.12 .0650 1 1.00 2.21 .0651 1 1.00 2.30 .0652 1 1.00 2.24 .0653 1 1.00 2.14 .0654 1 1.00 2.26 .0655 1 1.00 2.21 .0656 1 1.00 2.31 .0657 1 1.00 2.21 .0658 1 1.00 2.18 .0659 1 1.00 2.19 .0660 1 1.00 2.36 .0661 1 1.00 2.15 .0662 1 1.00 2.20 .0663 1 1.00 2.26 .0664 1 1.00 2.26 .0665 1 1.00 2.29 .0666 1 1.00 2.32 .0667 1 1.00 2.16 .0668 1 1.00 2.18 .0669 1 1.00 2.21 .0670 1 1.00 2.29 .0671 1 1.00 2.26 .0672 1 1.00 2.45 .0673 1 1.00 2.20 .0674 1 1.00 2.37 .0675 1 1.00 2.40 .0676 1 1.00 2.28 .0677 1 1.00 2.26 .0678 1 1.00 2.23 .0679 1 1.00 2.57 .0680 1 1.00 2.49 .0681 2 1.00 2.43 .0682 1 1.00 2.46 .0683 2 1.00 2.42 .0684 1 1.00 2.29 .0685 1 1.00 2.31 .0686 1 1.00 2.29 .0687 1 1.00 2.39 .0688 1 1.00 2.35 .0689 1 1.00 2.42 .0690 1 1.00 2.52 .0691 1 1.00 2.39 .0692 1 1.00 2.46 .0693 1 1.00 2.36 .0694 1 1.00 2.30 .0695 1 1.00 2.62 .0696 1 1.00 2.50 .0697 1 1.00 2.52 .0698 1 1.00 2.38 .0699 1 1.00 2.41 .0700 1 1.00 2.49 .0701 1 1.00 2.54 .0702 1 1.00 2.42 .0703 1 1.00 2.47 .0704 1 1.00 2.55 .0705 1 1.00 2.41 .0706 1 1.00 2.50 .0707 1 1.00 2.70 .0708 1 1.00 2.57 .0709 2 1.00 2.47 .0710 1 1.00 3.07 .0711 1 1.00 2.72 .0712 1 1.00 2.66 .0713 1 1.00 2.54 .0714 1 1.00 2.44 .0715 1 1.00 2.50 .0716 1 1.00 2.70 .0717 1 1.00 2.60 .0718 1 1.00 2.61 .0719 1 1.00 2.64 .0720 1 1.00 2.55 .0721 1 1.00 2.62 .0722 1 1.00 2.67 .0723 1 1.00 2.58 .0724 1 1.00 2.59 .0725 1 1.00 2.42 .0726 1 1.00 2.64 .0727 1 1.00 2.54 .0728 1 1.00 2.59 .0729 1 1.00 2.77 .0730 1 1.00 2.86 .0731 1 1.00 2.59 .0732 1 1.00 2.62 .0733 1 1.00 2.72 .0734 1 1.00 2.73 .0735 1 1.00 2.75 .0736 1 1.00 2.80 .0737 1 1.00 2.89 .0738 1 1.00 2.82 .0739 1 1.00 2.81 .0740 1 1.00 2.71 .0741 1 1.00 2.70 .0742 1 1.00 2.76 .0743 1 1.00 2.55 .0744 1 1.00 2.74 .0745 1 1.00 2.87 .0746 1 1.00 2.75 .0747 1 1.00 2.68 .0748 1 1.00 2.78 .0749 1 1.00 2.82 .0750 1 1.00 2.70 .0751 1 1.00 2.78 .0752 1 1.00 2.68 .0753 1 1.00 2.75 .0754 1 1.00 2.80 .0755 1 1.00 2.63 .0756 1 1.00 2.82 .0757 1 1.00 3.01 .0758 1 1.00 2.69 .0759 1 1.00 2.67 .0760 1 1.00 2.82 .0761 1 1.00 3.26 .0762 1 1.00 3.25 .0763 1 1.00 2.66 .0764 1 1.00 2.66 .0765 1 1.00 2.60 .0766 1 1.00 2.80 .0767 1 1.00 2.78 .0768 1 1.00 2.87 .0769 1 1.00 2.77 .0770 1 1.00 2.81 .0771 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3.38 EXTRACT_IMAGE: r1: masked 269 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITFLATWIDTH: r1: Median spatial widths = 0.92 0.93 0.91 0.92 pix (LL LR UL UR) SPCALIB: r1: Using Cubic, median chi squareds: vs SPCALIB: r1: Found 0 bright pixels in extracted flat sdR-r1-00034676.fit SPCALIB: r1: Extracting arc # 1 of 2 SPCALIB: r1: Reading arc sdR-r1-00034674.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.89356 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1183.59 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1163. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.59730 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1233.41 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1213. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Fraction of bad pixels in arc = 3.60012e-05 SPCALIB: r1: Arc sdR-r1-00034674.fit paired with flat sdR-r1-00034673.fit MATCH_TRACE: r1: Iteration: 0 Pixels Rejected: 7764 Finished? 0 MATCH_TRACE: r1: Iteration: 1 Pixels Rejected: 261 Finished? 0 MATCH_TRACE: r1: Iteration: 2 Pixels Rejected: 68 Finished? 0 MATCH_TRACE: r1: Iteration: 3 Pixels Rejected: 27 Finished? 0 MATCH_TRACE: r1: Iteration: 4 Pixels Rejected: 9 Finished? 0 MATCH_TRACE: r1: Iteration: 5 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r1: Iteration: 6 Pixels Rejected: 0 Finished? 1 SPCALIB: r1: Shifting traces with match_trace -0.0156860 SPCALIB: r1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 3 0.98 1.39 .0001 1 0.98 1.30 .0002 1 0.97 1.03 .0003 1 0.97 1.09 .0004 1 0.97 1.06 .0005 1 0.97 1.13 .0006 1 0.97 1.08 .0007 1 0.97 1.11 .0008 1 0.97 1.04 .0009 1 0.97 1.15 .0010 1 0.97 1.16 .0011 1 0.97 1.38 .0012 1 0.97 1.38 .0013 1 0.97 1.32 .0014 1 0.97 1.37 .0015 1 0.97 1.29 .0016 2 0.97 1.16 .0017 1 0.97 0.98 .0018 2 0.97 1.01 .0019 1 0.97 1.02 .0020 1 0.97 1.06 .0021 1 0.97 1.03 .0022 1 0.97 1.07 .0023 1 0.97 1.13 .0024 1 0.97 0.95 .0025 1 0.97 1.10 .0026 1 0.97 1.14 .0027 1 0.97 1.14 .0028 3 0.97 1.19 .0029 3 0.97 1.09 .0030 1 0.97 1.09 .0031 1 0.97 1.11 .0032 1 0.97 1.10 .0033 2 0.97 1.11 .0034 2 0.97 1.09 .0035 2 0.97 1.17 .0036 1 0.97 1.24 .0037 3 0.97 1.37 .0038 1 0.97 1.32 .0039 1 0.97 1.42 .0040 1 0.97 1.47 .0041 2 0.97 1.32 .0042 1 0.97 1.36 .0043 1 0.97 1.40 .0044 1 0.97 1.43 .0045 3 0.97 1.30 .0046 2 0.97 1.44 .0047 2 0.97 1.44 .0048 2 0.97 1.53 .0049 1 0.97 1.42 .0050 1 0.97 1.37 .0051 1 0.97 1.51 .0052 1 0.97 1.64 .0053 1 0.97 1.93 .0054 1 0.97 2.17 .0055 1 0.97 2.05 .0056 1 0.97 1.86 .0057 1 0.97 2.05 .0058 1 0.97 1.44 .0059 1 0.97 1.21 .0060 1 0.97 1.39 .0061 1 0.96 1.31 .0062 1 0.96 1.37 .0063 1 0.96 1.30 .0064 2 0.96 1.30 .0065 1 0.96 1.43 .0066 1 0.96 1.26 .0067 1 0.96 1.39 .0068 1 0.96 1.35 .0069 1 0.96 1.28 .0070 1 0.96 1.30 .0071 1 0.96 1.39 .0072 1 0.96 1.50 .0073 1 0.96 1.85 .0074 1 0.96 1.74 .0075 1 0.96 1.71 .0076 1 0.96 1.80 .0077 1 0.96 1.71 .0078 1 0.96 1.07 .0079 1 0.96 1.09 .0080 1 0.96 1.10 .0081 1 0.96 1.12 .0082 1 0.96 1.15 .0083 1 0.96 1.21 .0084 1 0.96 1.23 .0085 1 0.96 1.32 .0086 1 0.96 1.27 .0087 1 0.96 1.29 .0088 1 0.96 1.41 .0089 1 0.96 1.44 .0090 1 0.96 1.32 .0091 1 0.96 1.35 .0092 2 0.96 1.42 .0093 1 0.96 1.47 .0094 2 0.96 1.49 .0095 1 0.96 1.57 .0096 1 0.96 1.57 .0097 1 0.96 1.60 .0098 1 0.96 1.67 .0099 1 0.96 1.84 .0100 1 0.96 2.26 .0101 1 0.96 2.06 .0102 1 0.96 1.87 .0103 1 0.96 2.06 .0104 1 0.96 1.87 .0105 1 0.96 2.04 .0106 1 0.96 1.95 .0107 1 0.96 1.93 .0108 1 0.96 1.95 .0109 1 0.96 2.03 .0110 1 0.96 2.08 .0111 2 0.96 2.06 .0112 1 0.96 1.98 .0113 1 0.96 2.18 .0114 1 0.96 2.51 .0115 1 0.96 3.26 .0116 2 0.96 3.41 .0117 1 0.96 3.10 .0118 1 0.96 3.54 .0119 1 0.96 3.56 .0120 1 0.96 1.82 .0121 1 0.96 1.20 .0122 1 0.96 1.18 .0123 1 0.96 1.17 .0124 1 0.96 1.14 .0125 1 0.96 1.20 .0126 1 0.96 1.07 .0127 1 0.96 1.13 .0128 1 0.96 1.13 .0129 3 0.95 1.16 .0130 3 0.95 1.08 .0131 2 0.95 1.21 .0132 2 0.95 1.19 .0133 1 0.95 1.13 .0134 1 0.95 1.16 .0135 1 0.95 1.26 .0136 3 0.95 1.31 .0137 1 0.95 1.25 .0138 1 0.95 1.41 .0139 1 0.95 1.48 .0140 1 0.95 1.28 .0141 1 0.95 1.05 .0142 1 0.95 1.02 .0143 1 0.95 1.08 .0144 1 0.95 1.08 .0145 1 0.95 1.11 .0146 1 0.95 1.11 .0147 2 0.95 1.08 .0148 1 0.95 1.13 .0149 1 0.95 1.10 .0150 1 0.95 1.15 .0151 1 0.95 1.07 .0152 1 0.95 1.07 .0153 1 0.95 1.25 .0154 2 0.95 1.14 .0155 4 0.95 1.35 .0156 1 0.95 1.32 .0157 1 0.95 1.22 .0158 1 0.95 1.24 .0159 1 0.95 1.19 .0160 1 0.95 1.20 .0161 1 0.95 1.25 .0162 1 0.95 1.25 .0163 1 0.95 1.12 .0164 3 0.95 1.29 .0165 1 0.95 1.37 .0166 1 0.95 1.22 .0167 1 0.95 1.31 .0168 1 0.95 1.27 .0169 1 0.95 1.39 .0170 2 0.95 1.52 .0171 2 0.95 1.65 .0172 1 0.95 1.80 .0173 1 0.95 1.76 .0174 1 0.95 1.88 .0175 1 0.95 2.22 .0176 1 0.95 2.06 .0177 1 0.95 1.52 .0178 1 0.95 1.46 .0179 2 0.95 1.69 .0180 2 0.95 1.73 .0181 2 0.95 1.84 .0182 2 0.95 1.98 .0183 2 0.95 2.16 .0184 2 0.95 2.23 .0185 2 0.95 2.49 .0186 1 0.95 2.72 .0187 1 0.95 3.15 .0188 1 0.95 2.94 .0189 1 0.95 3.02 .0190 1 0.95 3.10 .0191 1 0.95 3.01 .0192 2 0.95 3.04 .0193 1 0.95 3.05 .0194 1 0.95 2.85 .0195 1 0.95 3.09 .0196 1 0.95 3.02 .0197 1 0.95 3.09 .0198 1 0.95 3.28 .0199 1 0.95 3.44 .0200 1 0.95 4.20 .0201 1 0.95 4.93 .0202 1 0.95 4.94 .0203 1 0.95 4.33 .0204 1 0.95 4.84 .0205 1 0.95 5.07 .0206 1 0.95 2.99 .0207 1 0.95 2.77 .0208 1 0.95 2.90 .0209 1 0.94 3.07 .0210 1 0.94 3.14 .0211 1 0.94 3.48 .0212 1 0.94 3.74 .0213 1 0.94 3.97 .0214 1 0.94 5.01 .0215 1 0.94 6.00 .0216 1 0.94 7.20 .0217 1 0.94 6.31 .0218 1 0.94 6.53 .0219 1 0.94 7.61 .0220 1 0.94 5.48 .0221 1 0.94 5.06 .0222 1 0.94 3.90 .0223 1 0.94 4.14 .0224 1 0.94 4.47 .0225 1 0.94 4.62 .0226 1 0.94 5.14 .0227 3 0.94 5.35 .0228 2 0.94 5.53 .0229 2 0.94 6.81 .0230 2 0.94 6.54 .0231 1 0.94 8.32 .0232 1 0.94 8.50 .0233 1 0.94 8.17 .0234 1 0.94 7.63 .0235 1 0.94 7.92 .0236 1 0.94 8.10 .0237 1 0.94 7.88 .0238 1 0.94 7.12 .0239 1 0.94 7.74 .0240 1 0.94 8.33 .0241 1 0.94 7.93 .0242 1 0.94 8.71 .0243 1 0.94 8.53 .0244 1 0.94 8.49 .0245 1 0.94 11.31 .0246 1 0.94 14.53 .0247 1 0.94 14.32 .0248 1 0.94 11.56 .0249 1 0.94 12.93 .0250 1 0.94 13.30 .0251 1 0.94 4.87 .0252 1 0.94 3.24 .0253 1 0.94 3.22 .0254 1 0.94 3.19 .0255 1 0.94 3.31 .0256 1 0.94 3.34 .0257 1 0.94 2.74 .0258 1 0.94 3.17 .0259 2 0.94 4.06 .0260 3 0.94 4.91 .0261 1 0.94 4.12 .0262 1 0.94 3.87 .0263 1 0.94 4.80 .0264 1 0.94 2.77 .0265 1 0.94 1.48 .0266 1 0.94 1.46 .0267 1 0.94 1.42 .0268 1 0.94 1.38 .0269 1 0.94 1.48 .0270 1 0.94 1.46 .0271 1 0.94 1.42 .0272 1 0.94 1.32 .0273 1 0.94 1.35 .0274 1 0.94 1.46 .0275 1 0.94 1.45 .0276 1 0.94 1.44 .0277 1 0.94 1.44 .0278 1 0.94 1.63 .0279 1 0.94 1.65 .0280 1 0.94 1.66 .0281 1 0.94 2.00 .0282 1 0.94 1.81 .0283 1 0.94 1.88 .0284 1 0.94 1.87 .0285 1 0.94 1.90 .0286 1 0.94 1.73 .0287 1 0.94 1.80 .0288 1 0.94 1.82 .0289 1 0.94 1.79 .0290 1 0.94 1.92 .0291 2 0.94 1.83 .0292 1 0.94 1.82 .0293 1 0.94 2.31 .0294 1 0.94 2.49 .0295 1 0.94 3.23 .0296 1 0.94 3.06 .0297 1 0.94 3.21 .0298 1 0.94 4.03 .0299 1 0.94 2.66 .0300 1 0.94 2.29 .0301 1 0.94 2.69 .0302 1 0.94 2.75 .0303 1 0.94 2.54 .0304 1 0.94 2.58 .0305 1 0.94 2.49 .0306 1 0.94 2.44 .0307 1 0.93 2.53 .0308 1 0.93 2.79 .0309 2 0.93 2.72 .0310 1 0.93 3.31 .0311 1 0.93 3.35 .0312 1 0.93 3.32 .0313 1 0.93 3.99 .0314 1 0.93 4.20 .0315 1 0.93 4.05 .0316 1 0.93 4.13 .0317 1 0.93 3.95 .0318 1 0.93 3.47 .0319 1 0.93 3.78 .0320 1 0.93 4.31 .0321 1 0.93 4.39 .0322 1 0.93 4.18 .0323 1 0.93 4.22 .0324 1 0.93 3.94 .0325 1 0.93 5.05 .0326 1 0.93 6.33 .0327 1 0.93 6.99 .0328 1 0.93 5.49 .0329 1 0.93 6.04 .0330 1 0.93 7.05 .0331 1 0.93 2.79 .0332 1 0.93 1.68 .0333 1 0.93 1.66 .0334 2 0.93 1.69 .0335 1 0.93 1.79 .0336 1 0.93 2.07 .0337 1 0.93 2.42 .0338 1 0.93 2.83 .0339 1 0.93 3.05 .0340 1 0.93 3.32 .0341 1 0.93 3.81 .0342 1 0.93 4.01 .0343 1 0.93 4.00 .0344 1 0.93 4.35 .0345 1 0.93 4.93 .0346 1 0.93 4.90 .0347 1 0.93 4.91 .0348 1 0.93 4.77 .0349 1 0.93 4.43 .0350 1 0.93 4.84 .0351 2 0.93 5.43 .0352 1 0.93 5.36 .0353 1 0.93 5.11 .0354 1 0.93 6.05 .0355 1 0.93 6.62 .0356 1 0.93 5.21 .0357 1 0.93 6.64 .0358 1 0.93 6.86 .0359 1 0.93 6.25 .0360 1 0.93 6.97 .0361 1 0.93 6.64 .0362 1 0.93 5.76 .0363 1 0.93 6.48 .0364 1 0.93 7.77 .0365 1 0.93 6.93 .0366 1 0.93 6.91 .0367 1 0.93 6.67 .0368 1 0.93 6.86 .0369 2 0.93 9.16 .0370 1 0.93 13.25 .0371 1 0.93 12.66 .0372 2 0.93 10.19 .0373 1 0.93 13.79 .0374 1 0.93 12.30 .0375 1 0.93 4.48 .0376 1 0.93 4.85 .0377 1 0.93 5.20 .0378 1 0.93 4.82 .0379 1 0.93 5.00 .0380 1 0.93 5.78 .0381 1 0.93 7.05 .0382 1 0.93 8.34 .0383 1 0.93 9.45 .0384 1 0.93 10.35 .0385 1 0.93 11.63 .0386 1 0.93 14.06 .0387 1 0.93 15.33 .0388 1 0.93 16.96 .0389 1 0.93 18.95 .0390 1 0.93 17.92 .0391 1 0.93 17.92 .0392 1 0.93 18.34 .0393 1 0.93 17.10 .0394 1 0.93 19.17 .0395 1 0.93 19.00 .0396 1 0.93 17.60 .0397 1 0.93 17.84 .0398 1 0.93 19.90 .0399 1 0.93 20.77 .0400 1 0.93 25.60 .0401 1 0.93 29.81 .0402 1 0.93 31.59 .0403 1 0.93 29.70 .0404 1 0.93 33.85 .0405 1 0.93 31.65 .0406 1 0.93 23.19 .0407 1 0.93 25.71 .0408 1 0.93 26.40 .0409 1 0.93 24.44 .0410 1 0.93 26.47 .0411 1 0.93 27.96 .0412 1 0.93 30.96 .0413 1 0.93 39.08 .0414 1 0.93 42.56 .0415 1 0.93 31.26 .0416 1 0.93 35.97 .0417 1 0.93 40.06 .0418 1 0.93 13.36 .0419 2 0.93 6.23 .0420 1 0.93 5.77 .0421 3 0.93 4.21 .0422 2 0.93 3.75 .0423 2 0.93 3.02 .0424 1 0.93 2.07 .0425 1 0.93 1.86 .0426 1 0.93 1.58 .0427 1 0.93 1.66 .0428 1 0.93 1.45 .0429 1 0.93 1.37 .0430 1 0.93 1.46 .0431 1 0.93 1.37 .0432 3 0.93 1.27 .0433 1 0.93 1.38 .0434 1 0.93 1.25 .0435 1 0.93 1.23 .0436 3 0.93 1.32 .0437 1 0.93 1.28 .0438 1 0.93 1.30 .0439 3 0.93 1.31 .0440 2 0.93 1.44 .0441 3 0.93 1.20 .0442 1 0.92 1.15 .0443 1 0.92 1.17 .0444 1 0.92 1.14 .0445 1 0.92 1.20 .0446 1 0.92 1.33 .0447 1 0.92 2.04 .0448 1 0.92 2.57 .0449 2 0.92 3.19 .0450 1 0.92 3.82 .0451 1 0.92 4.34 .0452 1 0.92 4.45 .0453 1 0.92 5.06 .0454 1 0.92 5.70 .0455 1 0.92 6.98 .0456 1 0.92 7.61 .0457 1 0.92 7.18 .0458 1 0.92 6.63 .0459 1 0.92 6.38 .0460 1 0.92 6.66 .0461 1 0.92 6.64 .0462 1 0.92 6.83 .0463 1 0.92 6.43 .0464 1 0.92 7.46 .0465 1 0.92 8.48 .0466 1 0.92 8.98 .0467 1 0.92 9.38 .0468 1 0.92 11.80 .0469 1 0.92 11.73 .0470 1 0.92 13.13 .0471 1 0.92 12.19 .0472 1 0.92 11.10 .0473 1 0.92 12.98 .0474 1 0.92 13.33 .0475 1 0.92 12.39 .0476 1 0.92 13.48 .0477 1 0.92 12.98 .0478 1 0.92 15.10 .0479 1 0.92 18.36 .0480 1 0.92 22.27 .0481 1 0.92 15.56 .0482 1 0.92 17.72 .0483 1 0.92 21.08 .0484 1 0.92 7.67 .0485 1 0.92 4.53 .0486 1 0.92 4.20 .0487 1 0.92 3.94 .0488 2 0.92 3.63 .0489 1 0.92 3.66 .0490 1 0.92 3.75 .0491 1 0.92 3.72 .0492 1 0.92 3.51 .0493 1 0.92 3.69 .0494 1 0.92 3.71 .0495 1 0.92 4.02 .0496 1 0.92 5.20 .0497 1 0.92 5.05 .0498 1 0.92 4.34 .0499 1 0.92 5.24 .0500 1 0.92 4.61 .0501 1 0.92 1.43 .0502 1 0.92 1.40 .0503 1 0.92 1.30 .0504 1 0.92 1.21 .0505 1 0.92 1.17 .0506 1 0.92 1.51 .0507 4 0.92 1.55 .0508 1 0.92 1.75 .0509 1 0.92 1.87 .0510 1 0.92 1.97 .0511 1 0.92 2.36 .0512 3 0.92 2.59 .0513 1 0.92 2.51 .0514 1 0.92 2.84 .0515 1 0.92 2.82 .0516 1 0.92 2.74 .0517 1 0.92 2.70 .0518 1 0.92 2.76 .0519 1 0.92 2.67 .0520 1 0.92 2.92 .0521 1 0.92 2.69 .0522 1 0.92 2.50 .0523 1 0.92 2.94 .0524 1 0.92 3.08 .0525 1 0.92 3.36 .0526 1 0.92 3.62 .0527 1 0.92 4.34 .0528 2 0.92 4.66 .0529 1 0.92 3.93 .0530 1 0.92 3.69 .0531 1 0.92 4.14 .0532 1 0.92 4.62 .0533 1 0.92 4.44 .0534 1 0.92 4.30 .0535 1 0.92 4.26 .0536 1 0.92 4.26 .0537 1 0.92 5.46 .0538 1 0.92 7.15 .0539 1 0.92 5.85 .0540 1 0.92 6.26 .0541 1 0.92 8.11 .0542 2 0.92 2.60 .0543 2 0.92 1.37 .0544 1 0.92 1.23 .0545 1 0.92 1.25 .0546 1 0.92 1.16 .0547 1 0.92 1.23 .0548 1 0.92 1.20 .0549 1 0.92 1.09 .0550 1 0.92 1.06 .0551 1 0.92 1.21 .0552 1 0.92 1.16 .0553 1 0.92 1.25 .0554 1 0.92 1.14 .0555 1 0.92 1.22 .0556 2 0.92 2.00 .0557 2 0.92 2.39 .0558 3 0.92 2.85 .0559 2 0.92 3.30 .0560 1 0.92 3.32 .0561 1 0.92 3.93 .0562 1 0.92 4.06 .0563 1 0.92 4.74 .0564 1 0.92 4.96 .0565 1 0.92 4.81 .0566 1 0.92 4.77 .0567 1 0.92 4.61 .0568 1 0.92 4.80 .0569 1 0.92 4.48 .0570 1 0.92 4.94 .0571 1 0.92 4.43 .0572 1 0.92 4.69 .0573 1 0.92 5.12 .0574 1 0.92 5.95 .0575 2 0.92 6.19 .0576 1 0.92 6.71 .0577 1 0.92 8.29 .0578 1 0.92 7.92 .0579 1 0.92 7.27 .0580 1 0.92 7.57 .0581 1 0.92 8.59 .0582 1 0.92 8.60 .0583 1 0.92 8.67 .0584 1 0.92 8.97 .0585 1 0.92 10.00 .0586 2 0.92 10.39 .0587 1 0.92 13.27 .0588 1 0.92 12.31 .0589 1 0.92 9.87 .0590 1 0.92 13.69 .0591 1 0.92 10.52 .0592 1 0.92 3.58 .0593 1 0.92 3.37 .0594 1 0.92 3.51 .0595 1 0.92 3.09 .0596 1 0.92 3.17 .0597 1 0.92 3.26 .0598 1 0.92 3.59 .0599 1 0.92 3.98 .0600 1 0.92 3.88 .0601 1 0.92 5.42 .0602 1 0.92 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0.91 1.21 .1823 1 0.91 1.13 .1824 1 0.91 1.28 .1825 2 0.91 1.16 .1826 1 0.91 1.13 .1827 1 0.91 1.23 .1828 1 0.91 1.20 .1829 2 0.91 1.20 .1830 1 0.91 1.30 .1831 1 0.91 1.16 .1832 1 0.91 1.14 .1833 1 0.91 1.19 .1834 1 0.91 1.17 .1835 1 0.91 1.16 .1836 1 0.91 1.15 .1837 1 0.91 1.14 .1838 1 0.91 1.14 .1839 1 0.91 1.16 .1840 1 0.91 1.06 .1841 1 0.91 1.18 .1842 2 0.91 1.46 .1843 3 0.91 1.19 .1844 1 0.91 1.18 .1845 1 0.91 1.22 .1846 1 0.91 1.27 .1847 1 0.91 1.26 .1848 1 0.91 1.16 .1849 1 0.91 1.21 .1850 1 0.91 1.19 .1851 1 0.91 1.12 .1852 1 0.91 1.15 .1853 1 0.91 1.23 .1854 1 0.91 1.25 .1855 1 0.91 1.24 .1856 1 0.91 1.29 .1857 1 0.91 1.28 .1858 1 0.91 1.26 .1859 1 0.91 1.16 .1860 1 0.91 1.24 .1861 1 0.91 1.17 .1862 1 0.91 1.05 .1863 1 0.91 1.24 .1864 4 0.91 1.30 .1865 3 0.91 1.39 .1866 1 0.91 1.21 .1867 1 0.91 1.22 .1868 1 0.91 1.19 .1869 1 0.91 1.14 .1870 1 0.91 1.19 .1871 1 0.91 1.16 .1872 1 0.91 1.24 .1873 1 0.91 1.03 .1874 1 0.91 1.08 .1875 1 0.91 1.12 .1876 1 0.91 1.20 .1877 1 0.91 1.16 .1878 1 0.91 1.39 .1879 1 0.91 1.21 .1880 2 0.91 1.39 .1881 3 0.91 1.13 .1882 2 0.91 1.19 .1883 2 0.91 1.08 .1884 2 0.91 1.24 .1885 1 0.91 1.23 .1886 1 0.91 1.27 .1887 1 0.91 1.12 .1888 1 0.91 1.23 .1889 1 0.91 1.26 .1890 1 0.91 1.53 .1891 1 0.91 1.18 .1892 1 0.91 1.16 .1893 1 0.91 1.05 .1894 2 0.91 1.34 .1895 1 0.91 1.14 .1896 2 0.91 1.17 .1897 1 0.91 1.14 .1898 1 0.91 1.11 .1899 1 0.91 1.16 .1900 1 0.91 1.15 .1901 1 0.91 1.31 .1902 2 0.91 1.10 .1903 1 0.91 1.16 .1904 1 0.91 1.11 .1905 1 0.91 1.14 .1906 1 0.91 1.15 .1907 1 0.91 1.21 .1908 3 0.91 1.12 .1909 1 0.91 1.35 .1910 1 0.91 1.14 .1911 1 0.91 1.17 .1912 1 0.91 1.08 .1913 1 0.91 1.18 .1914 1 0.91 1.16 .1915 1 0.91 1.06 .1916 1 0.91 1.20 .1917 1 0.91 1.14 .1918 1 0.91 1.11 .1919 1 0.91 1.17 .1920 1 0.91 1.17 .1921 1 0.91 1.13 .1922 1 0.91 1.15 .1923 1 0.91 1.14 .1924 1 0.91 1.17 .1925 1 0.91 1.13 .1926 1 0.91 1.10 .1927 1 0.91 1.10 .1928 1 0.91 1.11 .1929 1 0.91 1.16 .1930 1 0.91 1.13 .1931 1 0.91 1.13 .1932 1 0.91 1.12 .1933 1 0.91 1.11 .1934 1 0.91 1.14 .1935 1 0.91 1.10 .1936 1 0.91 1.15 .1937 1 0.91 1.19 .1938 2 0.91 1.15 .1939 2 0.91 1.19 .1940 1 0.91 1.17 .1941 1 0.91 1.17 .1942 1 0.91 1.16 .1943 1 0.91 1.14 .1944 2 0.91 1.15 .1945 2 0.91 1.17 .1946 1 0.91 1.17 .1947 1 0.91 1.23 .1948 1 0.91 1.18 .1949 1 0.91 1.16 .1950 1 0.91 1.14 .1951 1 0.91 1.15 .1952 1 0.91 1.18 .1953 2 0.91 1.17 .1954 1 0.91 1.22 .1955 1 0.91 1.19 .1956 1 0.91 1.18 .1957 1 0.91 1.21 .1958 1 0.91 1.14 .1959 1 0.91 1.15 .1960 1 0.91 1.13 .1961 1 0.91 1.10 .1962 1 0.91 1.23 .1963 1 0.91 1.11 .1964 1 0.91 1.15 .1965 1 0.91 1.17 .1966 1 0.91 1.17 .1967 2 0.91 1.19 .1968 1 0.91 1.16 .1969 1 0.91 1.17 .1970 1 0.91 1.26 .1971 1 0.91 1.22 .1972 1 0.91 1.12 .1973 1 0.91 1.19 .1974 1 0.91 1.26 .1975 1 0.91 1.15 .1976 1 0.91 1.15 .1977 1 0.91 1.12 .1978 1 0.91 1.15 .1979 2 0.91 1.19 .1980 1 0.91 1.10 .1981 1 0.91 1.14 .1982 1 0.91 1.17 .1983 3 0.91 1.13 .1984 1 0.91 1.12 .1985 1 0.91 1.13 .1986 1 0.91 1.20 .1987 3 0.91 1.18 .1988 3 0.91 1.18 .1989 1 0.91 1.18 .1990 2 0.91 1.23 .1991 1 0.91 1.15 .1992 1 0.91 1.12 .1993 1 0.91 1.20 .1994 1 0.91 1.24 .1995 1 0.91 1.16 .1996 1 0.91 1.13 .1997 1 0.91 1.12 .1998 1 0.91 1.15 .1999 1 0.91 1.21 .2000 1 0.91 1.22 .2001 1 0.91 1.12 .2002 1 0.91 1.21 .2003 1 0.91 1.12 .2004 1 0.91 1.11 .2005 1 0.91 1.14 .2006 1 0.91 1.19 .2007 1 0.91 1.24 .2008 1 0.91 1.27 .2009 2 0.91 1.12 .2010 1 0.91 1.12 .2011 1 0.91 1.10 .2012 1 0.91 1.21 .2013 1 0.91 1.19 .2014 1 0.91 1.22 .2015 1 0.91 1.07 .2016 1 0.91 1.25 .2017 2 0.91 1.19 .2018 1 0.91 1.12 .2019 1 0.91 1.19 .2020 1 0.91 1.17 .2021 1 0.91 1.12 .2022 1 0.91 1.20 .2023 1 0.91 1.16 .2024 1 0.91 1.13 .2025 1 0.91 1.16 .2026 1 0.91 1.11 .2027 1 0.91 1.10 .2028 1 0.91 1.12 .2029 1 0.91 1.15 .2030 1 0.91 1.15 .2031 1 0.91 1.20 .2032 1 0.91 1.00 .2033 1 0.91 1.21 .2034 1 0.91 1.17 .2035 1 0.91 1.07 .2036 1 0.91 1.22 .2037 2 0.91 1.12 .2038 1 0.91 1.21 .2039 1 0.91 1.12 .2040 1 0.91 1.09 .2041 1 0.91 1.11 .2042 1 0.91 1.17 .2043 1 0.91 1.16 .2044 1 0.91 1.23 .2045 1 0.91 1.21 .2046 1 0.91 1.18 .2047 1 0.91 1.08 EXTRACT_IMAGE: r1: masked 395 pixels SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r1: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r1: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Searching about coefficients = 3.86684 0.10142 -0.00449 -0.00022 ARCFIT_ITER: r1: Searching lags from -151 to 151 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Initial wavelength fit = 3.86684 0.10142 -0.00449 -0.00024 ARCFIT_GUESS: r1: Initial correlation = 0.762186 FITARCIMAGE_GLOBAL: r1: Best correlation = 0.762186 FITARCIMAGE_GLOBAL: r1: ASET = 3.86684 0.10142 -0.00449 -0.00024 SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Tracing 36 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 35 320 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Iterating flux-weighted centers . 0 320 0.142 . 1 320 0.131 . 2 320 0.132 . 3 320 0.128 . 4 320 0.131 . 5 320 0.134 . 6 320 0.130 . 7 320 0.135 . 8 320 0.137 . 9 320 0.135 . 10 320 0.131 . 11 320 0.134 . 12 320 0.134 . 13 320 0.131 . 14 320 0.135 . 15 320 0.131 . 16 320 0.133 . 17 320 0.142 . 18 320 0.137 . 19 320 0.127 . 20 320 0.139 . 21 320 0.129 . 22 320 0.132 . 23 320 0.132 . 24 320 0.134 . 25 320 0.129 . 26 320 0.136 . 27 320 0.122 . 28 320 0.129 . 29 320 0.134 . 30 320 0.137 . 31 320 0.135 . 32 320 0.129 . 33 320 0.128 . 34 320 0.136 . 35 320 0.132 . 36 320 0.138 . 37 320 0.127 . 38 320 0.133 . 39 320 0.137 . 40 320 0.145 . 41 320 0.139 . 42 320 0.134 . 43 320 0.128 . 44 320 0.139 . 45 320 0.125 . 46 320 0.132 . 47 320 0.139 . 48 320 0.133 . 49 320 0.132 . 50 320 0.132 . 51 320 0.134 . 52 320 0.153 . 53 320 0.135 . 54 320 0.135 . 55 320 0.135 . 56 320 0.135 . 57 320 0.154 . 58 320 0.136 . 59 320 0.136 . 60 320 0.128 . 61 320 0.141 . 62 320 0.134 . 63 320 0.132 . 64 320 0.137 . 65 320 0.136 . 66 320 0.142 . 67 320 0.127 . 68 320 0.128 . 69 320 0.130 . 70 320 0.126 . 71 320 0.128 . 72 320 0.144 . 73 320 0.137 . 74 320 0.134 . 75 320 0.135 . 76 320 0.125 . 77 320 0.132 . 78 320 0.135 . 79 320 0.133 . 80 320 0.132 . 81 320 0.118 . 82 320 0.131 . 83 320 0.122 . 84 320 0.132 . 85 320 0.139 . 86 320 0.132 . 87 320 0.128 . 88 320 0.128 . 89 320 0.129 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -10.556318 3.6334241 0.37887730 0.44259947 8.1774848 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -4.7590293 3.6413465 0.47200304 -0.0000000 7.3542803 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 3 -5.6501588 3.5824090 0.47282806 -0.0000000 7.5749716 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -6.5639363 3.8587256 0.54636862 0.64972741 8.0637936 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 5 -9.8338649 0.23254954 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 8 -34.910751 3.8293463 0.31853650 -0.0000000 8.2362525 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -15.568554 3.6716111 0.41691448 -0.0000000 8.0789195 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 11 -20.991132 0.26127605 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 16 -26.184003 0.24473868 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 20 -5.4727434 3.9489044 0.51162640 -0.0000000 8.0580721 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 22 -10.725841 4.0720688 0.38218588 0.41290003 8.6583000 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 23 -1.8519081 3.8371579 0.80719860 -0.0000000 7.7714165 5 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 24 -11.611246 2.6665544 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 25 -6.3693048 2.9843296 0.36319918 -0.0000000 9.7208120 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 26 -4.0368997 3.4068068 0.32228751 0.35230080 10.184333 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 27 -7.2762001 2.7694862 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 28 -9.0511161 3.5916278 0.44964198 0.46733467 10.585597 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 29 -16.955467 0.23580722 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 30 -17.649226 4.2736727 0.46935572 -0.0000000 8.8923546 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 31 -15.841993 3.2642011 0.94459002 -0.0000000 10.190527 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 32 -27.123403 4.2339881 0.43946739 0.48144719 9.3645083 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 33 -26.147689 4.2104334 0.48758831 -0.0000000 8.8508837 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 34 -9.1687004 3.0348967 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 35 -13.915183 0.29490788 . 90 320 0.297 . 91 320 0.129 . 92 320 0.133 . 93 320 0.131 . 94 320 0.136 . 95 320 0.131 . 96 320 0.129 . 97 320 0.128 . 98 320 0.125 . 99 320 0.130 . 100 320 0.131 . 101 320 0.128 . 102 320 0.132 . 103 320 0.126 . 104 320 0.122 . 105 320 0.118 . 106 320 0.128 . 107 320 0.130 . 108 320 0.126 . 109 320 0.128 . 110 320 0.140 . 111 320 0.144 . 112 320 0.154 . 113 320 0.148 . 114 320 0.163 . 115 320 0.144 . 116 320 0.134 . 117 320 0.134 . 118 320 0.136 . 119 320 0.131 . 120 320 0.129 . 121 320 0.140 . 122 320 0.143 . 123 320 0.137 . 124 320 0.135 . 125 320 0.138 . 126 320 0.135 . 127 320 0.141 . 128 320 0.147 . 129 320 0.144 . 130 320 0.163 . 131 320 0.141 . 132 320 0.190 . 133 320 0.177 . 134 320 0.137 . 135 320 0.134 . 136 320 0.133 . 137 320 0.125 . 138 320 0.134 . 139 320 0.127 . 140 320 0.137 . 141 320 0.138 . 142 320 0.140 . 143 320 0.139 . 144 320 0.127 . 145 320 0.127 . 146 320 0.133 . 147 320 0.137 . 148 320 0.136 . 149 320 0.136 . 150 320 0.142 . 151 320 0.142 . 152 320 0.132 . 153 320 0.132 . 154 320 0.135 . 155 320 0.129 . 156 320 0.140 . 157 320 0.137 . 158 320 0.141 . 159 320 0.137 . 160 320 0.133 . 161 320 0.137 . 162 320 0.132 . 163 320 0.133 . 164 320 0.133 . 165 320 0.124 . 166 320 0.135 . 167 320 0.137 . 168 320 0.129 . 169 320 0.137 . 170 320 0.133 . 171 320 0.139 . 172 320 0.135 . 173 320 0.087 . 174 320 0.100 . 175 320 0.131 . 176 320 0.138 . 177 320 0.135 . 178 320 0.139 . 179 320 0.129 . 180 320 0.138 . 181 320 0.134 . 182 320 0.138 . 183 320 0.131 . 184 320 0.139 . 185 320 0.156 . 186 320 0.136 . 187 320 0.141 . 188 320 0.128 . 189 320 0.135 . 190 320 0.130 . 191 320 0.144 . 192 320 0.138 . 193 320 0.131 . 194 320 0.143 . 195 320 0.148 . 196 320 0.135 . 197 320 0.132 . 198 320 0.140 . 199 320 0.141 . 200 320 0.140 . 201 320 0.144 . 202 320 0.133 . 203 320 0.138 . 204 320 0.140 . 205 320 0.140 . 206 320 0.142 . 207 320 0.136 . 208 320 0.143 . 209 320 0.137 . 210 320 0.139 . 211 320 0.127 . 212 320 0.142 . 213 320 0.126 . 214 320 0.138 . 215 320 0.139 . 216 320 0.128 . 217 320 0.134 . 218 320 0.134 . 219 320 0.133 . 220 320 0.130 . 221 320 0.133 . 222 320 0.138 . 223 320 0.140 . 224 320 0.139 . 225 320 0.131 . 226 320 0.132 . 227 320 0.135 . 228 320 0.137 . 229 320 0.135 . 230 320 0.136 . 231 320 0.135 . 232 320 0.140 . 233 320 0.145 . 234 320 0.141 . 235 320 0.139 . 236 320 0.141 . 237 320 0.131 . 238 320 0.137 . 239 320 0.128 . 240 320 0.140 . 241 320 0.137 . 242 320 0.141 . 243 320 0.137 . 244 320 0.135 . 245 320 0.133 . 246 320 0.130 . 247 320 0.133 . 248 320 0.128 . 249 320 0.081 . 250 320 0.139 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -9.4781840 3.6592819 0.42170751 0.50656018 7.2150922 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -4.5707034 3.2094415 0.49894407 -0.0000000 6.8091338 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 3 -13.506586 0.20681171 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -7.5878850 2.6065566 0.40126872 -0.0000000 8.3351280 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 5 -24.875656 0.25549218 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 9 -15.694854 0.23477976 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 11 -37.494723 0.21509379 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 20 -12.595504 3.6847811 0.38491949 -0.0000000 8.0944745 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 22 -8.1092630 3.1832158 0.34966054 0.31267226 9.5178593 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 23 -4.2026321 2.8365296 0.32566291 -0.0000000 8.9711620 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 24 -10.345027 3.0806181 0.34511179 0.34310234 9.4008792 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 25 -5.5849120 2.6885643 1.0515251 -0.0000000 8.3776835 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 26 -3.6084110 3.2855962 0.48708317 0.56699144 8.9381359 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 27 -11.913187 0.22686527 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 28 -11.339031 2.6147367 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 29 -21.652498 0.22392535 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 30 -9.9003662 2.8977634 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 31 -21.777147 3.6093058 0.42423473 -0.0000000 7.7670390 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 32 -16.695880 2.7996058 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 33 -9.7876024 3.2892507 2.8613544 -0.0000000 47.408506 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 34 -8.1464357 3.8369800 0.44895520 0.51914424 10.854087 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 35 -17.539737 3.7859698 1.4047314 -0.0000000 7.5679680 1 . 251 320 0.218 . 252 320 0.128 . 253 320 0.127 . 254 320 0.126 . 255 320 0.132 . 256 320 0.139 . 257 320 0.128 . 258 320 0.131 . 259 320 0.130 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 260 35 60.734749 0.23963415 . 260 320 0.136 . 261 320 0.130 . 262 320 0.131 . 263 320 0.134 . 264 320 0.132 . 265 320 0.127 . 266 320 0.127 . 267 320 0.127 . 268 320 0.123 . 269 320 0.127 . 270 320 0.134 . 271 320 0.134 . 272 320 0.125 . 273 320 0.124 . 274 320 0.129 . 275 320 0.126 . 276 320 0.128 . 277 320 0.136 . 278 320 0.124 . 279 320 0.137 . 280 320 0.131 . 281 320 0.140 . 282 320 0.127 . 283 320 0.127 . 284 320 0.130 . 285 320 0.125 . 286 320 0.129 . 287 320 0.127 . 288 320 0.121 . 289 320 0.146 . 290 320 0.134 . 291 320 0.132 . 292 320 0.132 . 293 320 0.122 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 1 -1.0892812 2.6554919 0.41625708 -0.0000000 8.1808471 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 2 -8.6040403 0.24708496 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 4 -3.2021238 3.2555944 0.44523623 -0.0000000 7.0211941 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 5 -2.7135239 0.26852530 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 8 -41.075965 0.29010207 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 9 -7.8345461 0.28317396 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 11 -26.647252 0.23653808 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 16 -25.535809 0.22337101 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 20 -8.7743068 0.25997834 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 23 -9.9259239 2.7595210 0.54486834 -0.0000000 8.2596431 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 24 -0.32729639 3.7074492 0.91219567 1.0535943 7.9882113 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 25 -4.4924873 2.7462791 0.38103834 -0.0000000 8.7116595 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 26 -7.8889892 3.3548331 1.0764555 -0.0000000 6.8543066 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 27 -9.1400508 2.5301215 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 28 -6.7033481 2.7248860 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 29 -16.271561 3.3842731 0.43755569 -0.0000000 10.845660 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 30 -15.152589 3.7649937 0.88987424 0.98560782 10.282555 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 31 -18.676077 2.7652469 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 32 -22.146391 2.7935772 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 33 -25.891706 3.2225682 0.83065251 -0.0000000 10.340278 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 34 -13.186204 2.7076305 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 35 -23.546368 3.0482577 0.50575326 -0.0000000 9.8421774 1 . 294 320 0.204 . 295 320 0.132 . 296 320 0.139 . 297 320 0.127 . 298 320 0.133 . 299 320 0.125 . 300 320 0.129 . 301 320 0.125 . 302 320 0.115 . 303 320 0.124 . 304 320 0.127 . 305 320 0.118 . 306 320 0.130 . 307 320 0.126 . 308 320 0.124 . 309 320 0.134 . 310 320 0.127 . 311 320 0.128 . 312 320 0.125 . 313 320 0.123 . 314 320 0.125 . 315 320 0.127 . 316 320 0.115 . 317 320 0.124 . 318 320 0.123 . 319 320 0.127 FITARCIMAGE_GLOBAL: r1: Discarding trace 0, at 5790.6630 with 201 centroids too close to an edge FITARCIMAGE_GLOBAL: r1: Line 1, at 5852.4880 Ang: ERR= 0.0118442 ERR_RMS= 0.00104480 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 2, at 5881.8950 Ang: ERR= 0.0117126 ERR_RMS= 0.0132567 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 3, at 5944.8340 Ang: ERR= 0.00756561 ERR_RMS= 0.0144636 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 4, at 6029.9970 Ang: ERR= 0.0146862 ERR_RMS= 0.00142588 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 5, at 6074.3380 Ang: ERR= 0.00721924 ERR_RMS= 0.0238063 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 6, at 6096.1630 Ang: ERR= 0.00549970 ERR_RMS= 0.0153528 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 7, at 6143.0630 Ang: ERR= 0.00361259 ERR_RMS= 0.00727310 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 8, at 6163.5940 Ang: ERR= 0.00641862 ERR_RMS= 0.0186153 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 9, at 6217.2810 Ang: ERR= 0.00853309 ERR_RMS= 0.0201708 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 10, at 6266.4950 Ang: ERR= 0.00492381 ERR_RMS= 0.0136798 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 11, at 6304.7890 Ang: ERR= 0.00781093 ERR_RMS= 0.0224063 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 12, at 6334.4280 Ang: ERR= 0.00381561 ERR_RMS= 0.00945076 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 13, at 6382.9920 Ang: ERR= 0.00369019 ERR_RMS= 0.00790511 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 14, at 6402.2460 Ang: ERR= 0.00239140 ERR_RMS= 0.00397557 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 15, at 6506.5280 Ang: ERR= 0.00307599 ERR_RMS= 0.00649846 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 16, at 6532.8820 Ang: ERR= 0.00578604 ERR_RMS= 0.0196101 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 17, at 6598.9530 Ang: ERR= 0.00496260 ERR_RMS= 0.0119776 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 18, at 6717.0430 Ang: ERR= 0.00447916 ERR_RMS= 0.0106023 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 19, at 6929.4670 Ang: ERR= 0.00379105 ERR_RMS= 0.00869159 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 20, at 7173.9380 Ang: ERR= 0.00824571 ERR_RMS= 0.0141773 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 21, at 7245.1670 Ang: ERR= 0.00391774 ERR_RMS= 0.00904467 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 22, at 7438.9000 Ang: ERR= 0.00821964 ERR_RMS= 0.0107661 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 23, at 7488.8710 Ang: ERR= 0.0150588 ERR_RMS= 0.00138439 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 24, at 7535.7740 Ang: ERR= 0.0171341 ERR_RMS= 0.00162938 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 25, at 7635.1060 Ang: ERR= 0.0286169 ERR_RMS= 0.00336026 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 26, at 8014.7860 Ang: ERR= 0.0732360 ERR_RMS= 0.0134628 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 27, at 8103.6930 Ang: ERR= 0.0545734 ERR_RMS= 0.0119763 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 28, at 8300.3260 Ang: ERR= 0.0242509 ERR_RMS= 0.00255707 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 29, at 8377.6065 Ang: ERR= 0.00962558 ERR_RMS= 0.0176319 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 30, at 8495.3598 Ang: ERR= 0.0138506 ERR_RMS= 0.00135953 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 31, at 8591.2583 Ang: ERR= 0.0258261 ERR_RMS= 0.00261558 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 32, at 8634.6470 Ang: ERR= 0.0279598 ERR_RMS= 0.00282649 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 33, at 8654.3831 Ang: ERR= 0.0176846 ERR_RMS= 0.00173296 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 34, at 8853.8670 Ang: ERR= 0.0407814 ERR_RMS= 0.00451125 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 35, at 9122.9674 Ang: ERR= 0.0849845 ERR_RMS= 0.0193490 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Number of good arc lines: 35 FITARCIMAGE_GLOBAL: r1: Number of arclines = 35 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 1 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 1 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 1 27 35 1 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 1 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 1 43 35 0 44 35 0 45 35 3 46 35 2 47 35 1 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 1 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 1 76 35 0 77 35 0 78 35 1 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 24 91 35 0 92 35 1 93 35 0 94 35 0 95 35 0 96 35 1 97 35 1 98 35 1 99 35 1 100 35 0 101 35 0 102 35 0 103 35 0 104 35 1 105 35 1 106 35 0 107 35 0 108 35 1 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 1 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 1 133 35 0 134 35 0 135 35 0 136 35 0 137 35 2 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 1 144 35 0 145 35 1 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 1 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 1 171 35 0 172 35 0 173 35 14 174 35 9 175 35 1 176 35 0 177 35 0 178 35 0 179 35 0 180 35 1 181 35 0 182 35 0 183 35 0 184 35 1 185 35 0 186 35 0 187 35 1 188 35 3 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 1 207 35 0 208 35 0 209 35 0 210 35 1 211 35 0 212 35 1 213 35 0 214 35 0 215 35 0 216 35 2 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 1 249 35 14 250 35 0 251 35 23 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 3 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 1 268 35 1 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 1 294 35 20 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 2 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 3 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 159 Pass 1 complete FITARCIMAGE_GLOBAL: r1: Number of arclines after bundle test = 35 FITARCLINES: r1: ncoeffs (x,y): 4 5 FITARCLINES: r1: fit rchi2: 0.067528701 FITARCLINES: r1: offset stddev: 320 2.5241551e-13 FITARCLINES: r1: scale stddev: 320 6.0915778e-13 FITARCLINES: r1: poly x,y,stddev: 0 0 5.2610168e-07 FITARCLINES: r1: poly x,y,stddev: 1 0 1.5746431e-06 FITARCLINES: r1: poly x,y,stddev: 2 0 1.2580268e-06 FITARCLINES: r1: poly x,y,stddev: 3 0 2.5227037e-06 FITARCLINES: r1: poly x,y,stddev: 0 1 3.8003046e-07 FITARCLINES: r1: poly x,y,stddev: 1 1 1.1417085e-06 FITARCLINES: r1: poly x,y,stddev: 2 1 9.1499108e-07 FITARCLINES: r1: poly x,y,stddev: 3 1 1.8339864e-06 FITARCLINES: r1: poly x,y,stddev: 0 2 2.5805456e-07 FITARCLINES: r1: poly x,y,stddev: 1 2 7.6007877e-07 FITARCLINES: r1: poly x,y,stddev: 2 2 5.9768155e-07 FITARCLINES: r1: poly x,y,stddev: 3 2 1.1997226e-06 FITARCLINES: r1: correcting per-fiber coefficients for fibers: 239 294 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: BADARC lines masked: 239 294 FITARCIMAGE_GLOBAL: r1: IVAR=0 centroids masked: 112 Final arcfit complete FITARCIMAGE_GLOBAL: r1: Time 68. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 2 1.00 8.11 .0001 1 1.00 9.62 .0002 2 1.00 8.54 .0003 2 1.00 9.04 .0004 2 1.00 8.55 .0005 2 1.00 8.69 .0006 1 1.00 10.21 .0007 1 1.00 10.48 .0008 2 1.00 8.88 .0009 2 1.00 9.59 .0010 1 1.00 9.55 .0011 2 1.00 9.18 .0012 2 1.00 7.83 .0013 2 1.00 7.83 .0014 2 1.00 8.67 .0015 3 1.00 7.79 .0016 2 1.00 9.06 .0017 2 1.00 7.88 .0018 2 1.00 8.84 .0019 2 1.00 8.80 .0020 3 1.00 8.01 .0021 3 1.00 8.49 .0022 2 1.00 8.46 .0023 2 1.00 8.45 .0024 2 1.00 9.24 .0025 2 1.00 8.63 .0026 4 1.00 7.40 .0027 3 1.00 8.33 .0028 2 1.00 9.45 .0029 2 1.00 8.54 .0030 2 1.00 9.11 .0031 2 1.00 9.06 .0032 3 1.00 8.09 .0033 3 1.00 7.53 .0034 2 1.00 7.93 .0035 2 1.00 8.63 .0036 2 1.00 8.96 .0037 3 1.00 7.46 .0038 1 1.00 9.32 .0039 2 1.00 8.43 .0040 4 1.00 7.31 .0041 2 1.00 8.58 .0042 2 1.00 8.60 .0043 3 1.00 8.34 .0044 4 1.00 8.67 .0045 3 1.00 7.87 .0046 2 1.00 8.06 .0047 2 1.00 9.35 .0048 3 1.00 7.43 .0049 2 1.00 8.93 .0050 2 1.00 9.11 .0051 3 1.00 8.06 .0052 2 1.00 9.35 .0053 2 1.00 9.47 .0054 2 1.00 8.04 .0055 3 1.00 7.88 .0056 3 1.00 8.58 .0057 1 1.00 10.79 .0058 3 1.00 8.66 .0059 2 1.00 8.08 .0060 5 1.00 6.88 .0061 3 1.00 8.08 .0062 3 1.00 9.33 .0063 3 1.00 8.04 .0064 3 1.00 7.78 .0065 3 1.00 6.82 .0066 3 1.00 8.23 .0067 2 1.00 8.53 .0068 2 1.00 9.34 .0069 3 1.00 8.49 .0070 3 1.00 7.51 .0071 3 1.00 8.08 .0072 3 1.00 8.32 .0073 3 1.00 8.16 .0074 2 1.00 8.17 .0075 2 1.00 8.65 .0076 3 1.00 7.35 .0077 3 1.00 8.92 .0078 3 1.00 8.58 .0079 3 1.00 8.03 .0080 2 1.00 7.22 .0081 6 1.00 5.19 .0082 2 1.00 8.10 .0083 3 1.00 6.79 .0084 3 1.00 5.40 .0085 3 1.00 6.37 .0086 3 1.00 6.05 .0087 3 1.00 6.87 .0088 2 1.00 7.06 .0089 3 1.00 6.36 .0090 1 1.00 0.88 .0091 2 1.00 2.28 .0092 4 1.00 5.85 .0093 3 1.00 6.44 .0094 3 1.00 6.82 .0095 4 1.00 5.83 .0096 4 1.00 6.00 .0097 3 1.00 6.60 .0098 4 1.00 5.45 .0099 1 1.00 6.36 .0100 4 1.00 5.95 .0101 4 1.00 6.65 .0102 4 1.00 5.94 .0103 3 1.00 6.68 .0104 3 1.00 6.56 .0105 4 1.00 6.31 .0106 4 1.00 5.89 .0107 3 1.00 6.80 .0108 3 1.00 7.18 .0109 4 1.00 6.47 .0110 3 1.00 6.77 .0111 4 1.00 5.97 .0112 3 1.00 7.51 .0113 3 1.00 6.59 .0114 3 1.00 6.77 .0115 3 1.00 7.76 .0116 4 1.00 6.52 .0117 3 1.00 7.77 .0118 4 1.00 6.98 .0119 4 1.00 6.10 .0120 3 1.00 5.41 .0121 4 1.00 5.24 .0122 3 1.00 7.11 .0123 3 1.00 7.38 .0124 2 1.00 8.07 .0125 4 1.00 6.75 .0126 5 1.00 5.61 .0127 3 1.00 7.66 .0128 3 1.00 6.72 .0129 3 1.00 7.26 .0130 4 1.00 6.75 .0131 3 1.00 7.18 .0132 3 1.00 7.73 .0133 3 1.00 6.51 .0134 3 1.00 7.50 .0135 4 1.00 6.72 .0136 3 1.00 7.00 .0137 3 1.00 5.64 .0138 3 1.00 5.73 .0139 4 1.00 6.25 .0140 3 1.00 7.12 .0141 2 1.00 8.33 .0142 3 1.00 6.35 .0143 4 1.00 6.61 .0144 4 1.00 6.25 .0145 3 1.00 6.59 .0146 3 1.00 6.91 .0147 3 1.00 7.10 .0148 3 1.00 6.89 .0149 3 1.00 7.06 .0150 3 1.00 7.19 .0151 4 1.00 6.33 .0152 4 1.00 5.98 .0153 3 1.00 6.86 .0154 4 1.00 6.44 .0155 3 1.00 6.90 .0156 3 1.00 6.70 .0157 3 1.00 7.08 .0158 3 1.00 6.97 .0159 3 1.00 6.69 .0160 4 1.00 6.44 .0161 3 1.00 6.78 .0162 3 1.00 7.20 .0163 3 1.00 6.83 .0164 3 1.00 6.88 .0165 3 1.00 7.36 .0166 3 1.00 7.16 .0167 4 1.00 6.80 .0168 4 1.00 7.12 .0169 3 1.00 7.62 .0170 3 1.00 7.47 .0171 3 1.00 7.06 .0172 2 1.00 7.88 .0173 5 1.00 1.59 .0174 1 1.00 5.42 .0175 4 1.00 6.86 .0176 3 1.00 7.00 .0177 3 1.00 7.96 .0178 4 1.00 6.27 .0179 3 1.00 7.62 .0180 3 1.00 5.99 .0181 4 1.00 5.96 .0182 3 1.00 6.28 .0183 3 1.00 5.38 .0184 4 1.00 5.33 .0185 3 1.00 5.89 .0186 4 1.00 5.59 .0187 4 1.00 5.55 .0188 3 1.00 4.88 .0189 4 1.00 5.63 .0190 4 1.00 5.79 .0191 3 1.00 6.22 .0192 3 1.00 5.84 .0193 3 1.00 6.31 .0194 3 1.00 5.91 .0195 3 1.00 5.94 .0196 4 1.00 5.69 .0197 3 1.00 6.66 .0198 3 1.00 6.34 .0199 4 1.00 5.74 .0200 3 1.00 7.47 .0201 3 1.00 7.37 .0202 3 1.00 7.17 .0203 3 1.00 7.29 .0204 3 1.00 7.10 .0205 3 1.00 6.46 .0206 3 1.00 6.35 .0207 3 1.00 6.66 .0208 3 1.00 6.45 .0209 3 1.00 7.12 .0210 4 1.00 6.48 .0211 3 1.00 6.95 .0212 4 1.00 6.46 .0213 3 1.00 6.02 .0214 3 1.00 7.20 .0215 3 1.00 7.21 .0216 3 1.00 7.07 .0217 3 1.00 7.35 .0218 3 1.00 7.39 .0219 3 1.00 7.25 .0220 4 1.00 6.72 .0221 3 1.00 7.65 .0222 3 1.00 7.19 .0223 3 1.00 7.44 .0224 3 1.00 7.22 .0225 4 1.00 7.42 .0226 3 1.00 7.40 .0227 3 1.00 7.75 .0228 3 1.00 7.13 .0229 3 1.00 7.59 .0230 3 1.00 7.26 .0231 3 1.00 7.63 .0232 3 1.00 7.30 .0233 3 1.00 7.60 .0234 3 1.00 7.12 .0235 3 1.00 7.75 .0236 3 1.00 7.78 .0237 3 1.00 6.96 .0238 2 1.00 7.82 .0239 2 1.00 138.40 .0240 5 1.00 6.30 .0241 3 1.00 7.10 .0242 4 1.00 6.32 .0243 3 1.00 6.83 .0244 3 1.00 6.94 .0245 4 1.00 6.12 .0246 3 1.00 6.45 .0247 3 1.00 6.98 .0248 4 1.00 5.75 .0249 1 1.00 5.03 .0250 3 1.00 7.63 .0251 1 1.00 1.00 .0252 3 1.00 7.22 .0253 4 1.00 6.24 .0254 4 1.00 6.01 .0255 4 1.00 6.43 .0256 3 1.00 7.19 .0257 2 1.00 6.57 .0258 2 1.00 7.99 .0259 2 1.00 7.67 .0260 2 1.00 3.32 .0261 3 1.00 5.38 .0262 4 1.00 5.04 .0263 3 1.00 4.86 .0264 4 1.00 5.25 .0265 3 1.00 5.82 .0266 4 1.00 5.69 .0267 3 1.00 6.15 .0268 4 1.00 5.81 .0269 3 1.00 6.89 .0270 6 1.00 5.62 .0271 3 1.00 6.64 .0272 4 1.00 6.00 .0273 3 1.00 5.90 .0274 3 1.00 6.61 .0275 4 1.00 6.34 .0276 3 1.00 5.95 .0277 4 1.00 5.99 .0278 3 1.00 6.32 .0279 3 1.00 7.15 .0280 3 1.00 6.99 .0281 3 1.00 7.54 .0282 3 1.00 7.09 .0283 4 1.00 6.11 .0284 3 1.00 6.84 .0285 4 1.00 5.41 .0286 3 1.00 6.09 .0287 3 1.00 6.99 .0288 3 1.00 6.05 .0289 3 1.00 7.00 .0290 3 1.00 6.73 .0291 4 1.00 6.60 .0292 5 1.00 6.33 .0293 4 1.00 5.66 .0294 1 1.00 1.19 .0295 3 1.00 7.03 .0296 3 1.00 7.06 .0297 3 1.00 6.99 .0298 3 1.00 6.76 .0299 4 1.00 6.08 .0300 3 1.00 6.48 .0301 3 1.00 6.16 .0302 4 1.00 5.71 .0303 3 1.00 5.70 .0304 3 1.00 5.26 .0305 4 1.00 4.99 .0306 4 1.00 5.17 .0307 3 1.00 6.14 .0308 3 1.00 7.19 .0309 4 1.00 5.55 .0310 3 1.00 5.35 .0311 4 1.00 5.85 .0312 3 1.00 7.16 .0313 3 1.00 6.99 .0314 3 1.00 6.57 .0315 3 1.00 6.92 .0316 2 1.00 6.22 .0317 3 1.00 6.85 .0318 3 1.00 6.89 .0319 4 1.00 6.01 EXTRACT_IMAGE: r1: masked 683 pixels TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 0 FITDISPERSION: r1: Median wavelength widths = 0.84 0.85 0.82 0.80 pix (LL LR UL UR) SPCALIB: r1: Extracting arc # 2 of 2 SPCALIB: r1: Reading arc sdR-r1-00034677.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.90661 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1183.75 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1163. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.59848 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1233.56 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1213. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Fraction of bad pixels in arc = 6.58035e-05 SPCALIB: r1: Arc sdR-r1-00034677.fit paired with flat sdR-r1-00034676.fit MATCH_TRACE: r1: Iteration: 0 Pixels Rejected: 7912 Finished? 0 MATCH_TRACE: r1: Iteration: 1 Pixels Rejected: 265 Finished? 0 MATCH_TRACE: r1: Iteration: 2 Pixels Rejected: 72 Finished? 0 MATCH_TRACE: r1: Iteration: 3 Pixels Rejected: 17 Finished? 0 MATCH_TRACE: r1: Iteration: 4 Pixels Rejected: 4 Finished? 0 MATCH_TRACE: r1: Iteration: 5 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r1: Iteration: 6 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r1: Iteration: 7 Pixels Rejected: 0 Finished? 1 SPCALIB: r1: Shifting traces with match_trace -0.0130615 SPCALIB: r1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 0.98 1.42 .0001 1 0.98 1.29 .0002 1 0.98 1.00 .0003 1 0.98 1.07 .0004 1 0.98 1.03 .0005 1 0.98 1.13 .0006 1 0.98 1.09 .0007 1 0.98 1.08 .0008 1 0.98 1.02 .0009 1 0.98 1.16 .0010 1 0.98 1.22 .0011 2 0.98 1.36 .0012 2 0.98 1.64 .0013 1 0.98 1.27 .0014 1 0.98 1.32 .0015 1 0.98 1.27 .0016 1 0.98 1.09 .0017 1 0.98 1.02 .0018 1 0.98 0.98 .0019 1 0.98 1.04 .0020 1 0.98 1.09 .0021 1 0.98 1.15 .0022 2 0.98 1.07 .0023 1 0.98 1.03 .0024 1 0.98 1.04 .0025 1 0.98 1.05 .0026 2 0.98 1.17 .0027 1 0.98 1.10 .0028 1 0.98 1.11 .0029 1 0.98 1.08 .0030 1 0.98 1.05 .0031 1 0.98 1.06 .0032 1 0.98 1.10 .0033 2 0.98 1.11 .0034 2 0.97 1.17 .0035 2 0.97 1.22 .0036 2 0.97 1.39 .0037 2 0.97 1.35 .0038 1 0.97 1.29 .0039 1 0.97 1.28 .0040 1 0.97 1.28 .0041 1 0.97 1.37 .0042 1 0.97 1.38 .0043 1 0.97 1.36 .0044 1 0.97 1.34 .0045 1 0.97 1.35 .0046 1 0.97 1.40 .0047 1 0.97 1.45 .0048 1 0.97 1.33 .0049 1 0.97 1.48 .0050 1 0.97 1.39 .0051 1 0.97 1.44 .0052 2 0.97 1.64 .0053 1 0.97 1.84 .0054 1 0.97 2.10 .0055 1 0.97 1.86 .0056 1 0.97 1.97 .0057 1 0.97 1.97 .0058 1 0.97 1.41 .0059 1 0.97 1.28 .0060 1 0.97 1.25 .0061 1 0.97 1.36 .0062 1 0.97 1.35 .0063 1 0.97 1.30 .0064 1 0.97 1.34 .0065 1 0.97 1.25 .0066 1 0.97 1.28 .0067 1 0.97 1.34 .0068 1 0.97 1.37 .0069 1 0.97 1.30 .0070 1 0.97 1.29 .0071 1 0.97 1.48 .0072 1 0.97 1.52 .0073 1 0.97 1.74 .0074 2 0.97 2.00 .0075 3 0.97 1.77 .0076 2 0.97 2.00 .0077 1 0.97 1.74 .0078 1 0.97 1.02 .0079 1 0.97 1.12 .0080 1 0.97 1.12 .0081 1 0.97 1.15 .0082 1 0.97 1.23 .0083 1 0.97 1.24 .0084 1 0.97 1.25 .0085 1 0.97 1.30 .0086 2 0.97 1.32 .0087 1 0.97 1.27 .0088 2 0.97 1.45 .0089 3 0.97 1.52 .0090 3 0.97 1.38 .0091 2 0.97 1.37 .0092 1 0.97 1.31 .0093 1 0.97 1.38 .0094 1 0.97 1.39 .0095 1 0.96 1.59 .0096 1 0.96 1.38 .0097 1 0.96 1.64 .0098 1 0.96 1.69 .0099 1 0.96 1.91 .0100 1 0.96 2.16 .0101 1 0.96 2.04 .0102 1 0.96 1.93 .0103 1 0.96 2.00 .0104 2 0.96 2.02 .0105 2 0.96 2.21 .0106 1 0.96 1.98 .0107 1 0.96 1.90 .0108 1 0.96 1.89 .0109 1 0.96 2.07 .0110 1 0.96 2.07 .0111 1 0.96 2.20 .0112 1 0.96 1.94 .0113 1 0.96 2.19 .0114 1 0.96 2.61 .0115 1 0.96 3.57 .0116 1 0.96 3.27 .0117 1 0.96 3.11 .0118 1 0.96 3.56 .0119 2 0.96 4.06 .0120 1 0.96 1.69 .0121 1 0.96 1.21 .0122 1 0.96 1.23 .0123 1 0.96 1.14 .0124 4 0.96 1.18 .0125 2 0.96 1.27 .0126 1 0.96 1.20 .0127 1 0.96 1.13 .0128 1 0.96 1.14 .0129 1 0.96 1.07 .0130 1 0.96 1.09 .0131 1 0.96 1.17 .0132 1 0.96 1.20 .0133 1 0.96 1.16 .0134 2 0.96 1.09 .0135 1 0.96 1.29 .0136 1 0.96 1.32 .0137 1 0.96 1.35 .0138 1 0.96 1.36 .0139 1 0.96 1.49 .0140 1 0.96 1.25 .0141 1 0.96 1.00 .0142 1 0.96 1.08 .0143 1 0.96 1.02 .0144 1 0.96 1.08 .0145 1 0.96 1.08 .0146 1 0.96 1.06 .0147 1 0.96 1.13 .0148 1 0.96 1.09 .0149 1 0.96 1.00 .0150 1 0.96 1.08 .0151 1 0.96 1.03 .0152 1 0.96 1.06 .0153 1 0.96 1.09 .0154 1 0.96 1.12 .0155 1 0.96 1.09 .0156 1 0.96 1.17 .0157 1 0.96 1.22 .0158 1 0.96 1.25 .0159 1 0.96 1.15 .0160 1 0.96 1.12 .0161 1 0.96 1.16 .0162 2 0.96 1.23 .0163 3 0.96 1.13 .0164 2 0.96 1.20 .0165 1 0.95 1.21 .0166 1 0.95 1.32 .0167 1 0.95 1.33 .0168 2 0.95 1.28 .0169 1 0.95 1.48 .0170 1 0.95 1.57 .0171 1 0.95 1.61 .0172 1 0.95 1.72 .0173 1 0.95 1.67 .0174 2 0.95 1.96 .0175 1 0.95 2.21 .0176 1 0.95 1.92 .0177 1 0.95 1.63 .0178 1 0.95 1.46 .0179 1 0.95 1.53 .0180 1 0.95 1.63 .0181 1 0.95 1.88 .0182 1 0.95 2.01 .0183 1 0.95 2.20 .0184 1 0.95 2.28 .0185 1 0.95 2.41 .0186 1 0.95 2.78 .0187 1 0.95 2.99 .0188 1 0.95 3.06 .0189 1 0.95 3.03 .0190 1 0.95 3.10 .0191 2 0.95 3.09 .0192 2 0.95 3.25 .0193 2 0.95 3.06 .0194 1 0.95 3.08 .0195 1 0.95 2.92 .0196 1 0.95 3.14 .0197 1 0.95 3.50 .0198 3 0.95 3.28 .0199 1 0.95 3.57 .0200 1 0.95 4.93 .0201 1 0.95 6.63 .0202 1 0.95 4.87 .0203 1 0.95 4.44 .0204 1 0.95 4.78 .0205 1 0.95 5.01 .0206 1 0.95 3.06 .0207 1 0.95 2.90 .0208 1 0.95 2.84 .0209 1 0.95 2.95 .0210 1 0.95 3.63 .0211 1 0.95 3.51 .0212 1 0.95 3.53 .0213 1 0.95 3.65 .0214 1 0.95 4.96 .0215 1 0.95 5.94 .0216 1 0.95 6.85 .0217 1 0.95 6.11 .0218 1 0.95 6.80 .0219 2 0.95 7.83 .0220 2 0.95 5.36 .0221 2 0.95 4.43 .0222 1 0.95 4.11 .0223 2 0.95 4.21 .0224 1 0.95 4.45 .0225 1 0.95 4.65 .0226 1 0.95 4.42 .0227 1 0.95 4.95 .0228 1 0.95 4.95 .0229 1 0.95 5.83 .0230 1 0.95 6.05 .0231 1 0.95 7.00 .0232 1 0.95 8.28 .0233 1 0.95 8.44 .0234 3 0.95 7.44 .0235 1 0.95 7.64 .0236 1 0.95 8.04 .0237 1 0.95 7.48 .0238 1 0.95 7.35 .0239 1 0.95 7.91 .0240 1 0.95 8.41 .0241 1 0.95 8.50 .0242 1 0.95 8.03 .0243 1 0.95 8.40 .0244 1 0.95 8.54 .0245 1 0.95 11.39 .0246 1 0.95 14.98 .0247 1 0.95 13.81 .0248 1 0.94 11.47 .0249 1 0.94 12.68 .0250 1 0.94 13.00 .0251 1 0.94 4.46 .0252 1 0.94 3.27 .0253 1 0.94 3.19 .0254 1 0.94 3.08 .0255 1 0.94 3.02 .0256 1 0.94 3.04 .0257 1 0.94 2.81 .0258 1 0.94 3.37 .0259 1 0.94 4.01 .0260 1 0.94 5.64 .0261 1 0.94 3.97 .0262 1 0.94 3.97 .0263 1 0.94 4.70 .0264 1 0.94 2.64 .0265 1 0.94 1.52 .0266 1 0.94 1.36 .0267 1 0.94 1.36 .0268 1 0.94 1.41 .0269 1 0.94 1.43 .0270 1 0.94 1.43 .0271 1 0.94 1.47 .0272 1 0.94 1.48 .0273 1 0.94 1.38 .0274 1 0.94 1.48 .0275 1 0.94 1.29 .0276 1 0.94 1.47 .0277 1 0.94 1.51 .0278 1 0.94 1.64 .0279 3 0.94 1.58 .0280 1 0.94 1.68 .0281 1 0.94 2.01 .0282 1 0.94 1.86 .0283 1 0.94 1.74 .0284 2 0.94 2.20 .0285 2 0.94 1.90 .0286 2 0.94 1.79 .0287 1 0.94 1.84 .0288 1 0.94 1.93 .0289 1 0.94 1.85 .0290 1 0.94 1.93 .0291 1 0.94 1.79 .0292 1 0.94 1.94 .0293 1 0.94 2.34 .0294 1 0.94 2.49 .0295 1 0.94 3.18 .0296 1 0.94 3.20 .0297 1 0.94 3.31 .0298 2 0.94 3.92 .0299 1 0.94 2.73 .0300 1 0.94 2.35 .0301 1 0.94 2.69 .0302 1 0.94 2.71 .0303 1 0.94 2.59 .0304 1 0.94 2.48 .0305 1 0.94 2.44 .0306 1 0.94 2.56 .0307 1 0.94 2.54 .0308 1 0.94 2.84 .0309 1 0.94 2.79 .0310 1 0.94 2.96 .0311 1 0.94 3.24 .0312 1 0.94 3.38 .0313 1 0.94 4.25 .0314 1 0.94 4.30 .0315 1 0.94 3.70 .0316 1 0.94 4.09 .0317 1 0.94 3.84 .0318 1 0.94 3.59 .0319 1 0.94 3.86 .0320 1 0.94 4.28 .0321 1 0.94 4.23 .0322 1 0.94 4.24 .0323 1 0.94 4.06 .0324 1 0.94 4.14 .0325 1 0.94 4.90 .0326 1 0.94 6.19 .0327 1 0.94 7.10 .0328 1 0.94 5.68 .0329 1 0.94 6.40 .0330 1 0.94 6.94 .0331 1 0.94 2.49 .0332 1 0.94 1.57 .0333 1 0.94 1.58 .0334 1 0.94 1.63 .0335 1 0.94 1.70 .0336 1 0.94 2.01 .0337 1 0.94 2.67 .0338 1 0.94 2.98 .0339 1 0.94 3.09 .0340 1 0.94 3.38 .0341 1 0.94 3.63 .0342 1 0.94 4.00 .0343 1 0.94 4.01 .0344 1 0.94 4.29 .0345 1 0.94 5.06 .0346 1 0.94 4.98 .0347 1 0.94 4.91 .0348 1 0.94 4.84 .0349 1 0.94 4.35 .0350 1 0.94 4.90 .0351 1 0.94 5.08 .0352 1 0.94 5.16 .0353 1 0.94 4.85 .0354 1 0.93 6.21 .0355 1 0.93 6.19 .0356 1 0.93 5.32 .0357 1 0.93 6.57 .0358 1 0.93 7.05 .0359 1 0.93 6.29 .0360 1 0.93 6.84 .0361 1 0.93 6.47 .0362 1 0.93 5.93 .0363 1 0.93 6.79 .0364 1 0.93 7.15 .0365 1 0.93 7.56 .0366 1 0.93 7.06 .0367 1 0.93 6.37 .0368 1 0.93 7.12 .0369 1 0.93 9.34 .0370 1 0.93 12.31 .0371 1 0.93 12.42 .0372 2 0.93 10.16 .0373 1 0.93 13.83 .0374 1 0.93 12.16 .0375 1 0.93 4.67 .0376 1 0.93 4.77 .0377 1 0.93 5.48 .0378 1 0.93 4.77 .0379 1 0.93 5.10 .0380 1 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0.92 1.23 .1542 1 0.92 1.22 .1543 1 0.92 1.26 .1544 1 0.92 1.37 .1545 1 0.92 1.39 .1546 1 0.92 1.44 .1547 1 0.92 1.28 .1548 1 0.92 1.30 .1549 1 0.92 1.14 .1550 1 0.92 1.13 .1551 1 0.92 1.23 .1552 1 0.92 1.18 .1553 1 0.92 1.08 .1554 1 0.92 1.21 .1555 1 0.92 1.18 .1556 1 0.92 1.09 .1557 1 0.92 1.23 .1558 1 0.92 1.14 .1559 1 0.92 1.12 .1560 1 0.92 1.09 .1561 1 0.92 1.14 .1562 1 0.92 1.07 .1563 1 0.92 1.21 .1564 1 0.92 1.21 .1565 1 0.92 1.08 .1566 1 0.92 1.23 .1567 1 0.92 1.40 .1568 1 0.92 1.52 .1569 1 0.92 1.59 .1570 2 0.92 1.59 .1571 1 0.92 1.79 .1572 1 0.92 1.81 .1573 1 0.92 1.89 .1574 1 0.92 1.88 .1575 1 0.92 1.84 .1576 1 0.92 1.80 .1577 1 0.92 1.57 .1578 2 0.92 1.72 .1579 2 0.92 1.70 .1580 1 0.92 1.84 .1581 1 0.92 1.55 .1582 1 0.92 1.60 .1583 1 0.92 1.81 .1584 1 0.92 1.83 .1585 1 0.92 2.03 .1586 1 0.92 2.23 .1587 1 0.92 2.52 .1588 1 0.92 2.92 .1589 1 0.92 3.55 .1590 1 0.92 2.82 .1591 1 0.92 2.23 .1592 1 0.92 1.55 .1593 2 0.92 1.29 .1594 1 0.92 1.32 .1595 1 0.92 1.25 .1596 1 0.92 1.18 .1597 1 0.92 1.28 .1598 1 0.92 1.26 .1599 1 0.92 1.19 .1600 1 0.92 1.19 .1601 1 0.92 1.33 .1602 1 0.92 1.25 .1603 1 0.92 1.19 .1604 1 0.92 1.34 .1605 1 0.92 1.26 .1606 1 0.92 1.22 .1607 1 0.92 1.26 .1608 1 0.92 1.27 .1609 1 0.92 1.30 .1610 1 0.92 1.34 .1611 1 0.92 1.38 .1612 1 0.92 1.30 .1613 1 0.92 1.41 .1614 1 0.91 1.31 .1615 1 0.91 1.19 .1616 1 0.91 1.18 .1617 1 0.91 1.18 .1618 1 0.91 1.27 .1619 1 0.91 1.21 .1620 1 0.91 1.15 .1621 1 0.91 1.15 .1622 1 0.91 1.19 .1623 2 0.91 1.11 .1624 2 0.91 1.28 .1625 1 0.91 1.41 .1626 2 0.91 1.25 .1627 1 0.91 1.16 .1628 1 0.91 1.17 .1629 1 0.91 1.11 .1630 1 0.91 1.16 .1631 1 0.91 1.13 .1632 1 0.91 1.10 .1633 1 0.91 1.22 .1634 1 0.91 1.30 .1635 1 0.91 1.36 .1636 1 0.91 1.31 .1637 1 0.91 1.38 .1638 1 0.91 1.46 .1639 1 0.91 1.55 .1640 1 0.91 1.44 .1641 1 0.91 1.42 .1642 1 0.91 1.43 .1643 1 0.91 1.33 .1644 1 0.91 1.52 .1645 1 0.91 1.48 .1646 1 0.91 1.47 .1647 1 0.91 1.46 .1648 1 0.91 1.43 .1649 2 0.91 1.44 .1650 1 0.91 1.55 .1651 1 0.91 1.55 .1652 1 0.91 1.47 .1653 1 0.91 1.52 .1654 1 0.91 1.81 .1655 1 0.91 2.03 .1656 1 0.91 2.18 .1657 1 0.91 1.99 .1658 1 0.91 1.58 .1659 1 0.91 1.35 .1660 1 0.91 1.11 .1661 1 0.91 1.26 .1662 1 0.91 1.22 .1663 1 0.91 1.21 .1664 1 0.91 1.15 .1665 1 0.91 1.18 .1666 1 0.91 1.17 .1667 1 0.91 1.24 .1668 1 0.91 1.19 .1669 1 0.91 1.18 .1670 1 0.91 1.23 .1671 5 0.91 1.28 .1672 1 0.91 1.18 .1673 1 0.91 1.11 .1674 1 0.91 1.21 .1675 1 0.91 1.13 .1676 1 0.91 1.25 .1677 1 0.91 1.20 .1678 1 0.91 1.25 .1679 1 0.91 1.25 .1680 1 0.91 1.16 .1681 2 0.91 1.17 .1682 2 0.91 1.35 .1683 1 0.91 1.25 .1684 2 0.91 1.11 .1685 1 0.91 1.16 .1686 1 0.91 1.15 .1687 1 0.91 1.12 .1688 1 0.91 1.15 .1689 2 0.91 1.10 .1690 1 0.91 1.21 .1691 1 0.91 1.12 .1692 1 0.91 1.21 .1693 1 0.91 1.17 .1694 2 0.91 1.50 .1695 3 0.91 1.42 .1696 2 0.91 1.23 .1697 1 0.91 1.24 .1698 1 0.91 1.29 .1699 1 0.91 1.30 .1700 2 0.91 1.39 .1701 1 0.91 1.25 .1702 1 0.91 1.33 .1703 2 0.91 1.31 .1704 1 0.91 1.29 .1705 1 0.91 1.29 .1706 1 0.91 1.33 .1707 1 0.91 1.33 .1708 1 0.91 1.27 .1709 1 0.91 1.38 .1710 1 0.91 1.53 .1711 1 0.91 1.36 .1712 1 0.91 1.28 .1713 1 0.91 1.18 .1714 1 0.91 1.19 .1715 1 0.91 1.19 .1716 1 0.91 1.13 .1717 1 0.91 1.36 .1718 2 0.91 1.25 .1719 1 0.91 1.22 .1720 1 0.91 1.29 .1721 1 0.91 1.30 .1722 2 0.91 1.11 .1723 1 0.91 1.31 .1724 1 0.91 1.46 .1725 3 0.91 1.32 .1726 3 0.91 1.45 .1727 2 0.91 1.38 .1728 2 0.91 1.39 .1729 2 0.91 1.58 .1730 2 0.91 1.35 .1731 2 0.91 1.45 .1732 1 0.91 1.39 .1733 1 0.91 1.55 .1734 2 0.91 1.49 .1735 1 0.91 1.71 .1736 1 0.91 1.52 .1737 1 0.91 1.61 .1738 2 0.91 1.29 .1739 1 0.91 1.32 .1740 2 0.91 1.42 .1741 1 0.91 1.37 .1742 1 0.91 1.48 .1743 1 0.91 1.58 .1744 1 0.91 1.73 .1745 1 0.91 1.79 .1746 1 0.91 1.88 .1747 1 0.91 1.72 .1748 1 0.91 1.45 .1749 1 0.91 1.25 .1750 1 0.91 1.25 .1751 1 0.91 1.22 .1752 1 0.91 1.25 .1753 1 0.91 1.24 .1754 1 0.91 1.19 .1755 1 0.91 1.13 .1756 1 0.91 1.33 .1757 1 0.91 1.17 .1758 1 0.91 1.09 .1759 1 0.91 1.20 .1760 1 0.91 1.25 .1761 1 0.91 1.12 .1762 1 0.91 1.29 .1763 2 0.91 1.16 .1764 1 0.91 1.25 .1765 1 0.91 1.15 .1766 1 0.91 1.12 .1767 1 0.91 1.15 .1768 1 0.91 1.13 .1769 1 0.91 1.15 .1770 1 0.91 1.08 .1771 1 0.91 1.16 .1772 2 0.91 1.23 .1773 1 0.91 1.26 .1774 1 0.91 1.16 .1775 1 0.91 1.17 .1776 1 0.91 1.21 .1777 1 0.91 1.17 .1778 1 0.91 1.11 .1779 2 0.91 1.16 .1780 1 0.91 1.11 .1781 3 0.91 1.15 .1782 3 0.91 1.04 .1783 1 0.91 1.08 .1784 1 0.91 1.13 .1785 1 0.91 1.19 .1786 1 0.91 1.09 .1787 1 0.91 1.15 .1788 1 0.91 1.16 .1789 1 0.91 1.15 .1790 1 0.91 1.09 .1791 1 0.91 1.10 .1792 1 0.91 1.26 .1793 1 0.91 1.13 .1794 1 0.91 1.11 .1795 1 0.91 1.17 .1796 1 0.91 1.18 .1797 1 0.91 1.20 .1798 1 0.91 1.30 .1799 1 0.91 1.43 .1800 3 0.91 1.37 .1801 2 0.91 1.60 .1802 1 0.91 1.50 .1803 1 0.91 1.43 .1804 1 0.91 1.44 .1805 2 0.91 1.47 .1806 3 0.91 1.59 .1807 2 0.91 1.64 .1808 4 0.91 1.44 .1809 3 0.91 1.50 .1810 1 0.91 1.51 .1811 1 0.91 1.33 .1812 1 0.91 1.48 .1813 1 0.91 1.41 .1814 1 0.91 1.53 .1815 1 0.91 1.62 .1816 1 0.91 1.88 .1817 1 0.91 1.87 .1818 1 0.91 1.94 .1819 1 0.91 1.47 .1820 1 0.91 1.45 .1821 1 0.91 1.29 .1822 1 0.91 1.30 .1823 2 0.91 1.22 .1824 4 0.91 1.24 .1825 1 0.91 1.28 .1826 1 0.91 1.14 .1827 1 0.91 1.09 .1828 1 0.91 1.22 .1829 2 0.91 1.26 .1830 3 0.91 1.33 .1831 1 0.91 1.06 .1832 1 0.91 1.19 .1833 1 0.91 1.20 .1834 2 0.91 1.02 .1835 1 0.91 1.52 .1836 2 0.91 1.22 .1837 2 0.91 1.27 .1838 1 0.91 1.19 .1839 1 0.91 1.19 .1840 1 0.91 1.19 .1841 1 0.91 1.23 .1842 2 0.91 1.09 .1843 1 0.91 1.19 .1844 1 0.91 1.16 .1845 1 0.91 1.14 .1846 1 0.91 1.17 .1847 2 0.91 1.38 .1848 3 0.91 1.24 .1849 3 0.91 1.22 .1850 2 0.91 1.22 .1851 1 0.91 1.19 .1852 1 0.91 1.24 .1853 2 0.91 1.35 .1854 1 0.91 1.23 .1855 1 0.91 1.27 .1856 1 0.91 1.22 .1857 1 0.91 1.34 .1858 2 0.91 1.38 .1859 1 0.91 1.28 .1860 1 0.91 1.24 .1861 2 0.91 1.17 .1862 1 0.91 1.14 .1863 1 0.91 1.17 .1864 1 0.91 1.20 .1865 1 0.91 1.14 .1866 1 0.91 1.25 .1867 2 0.91 1.42 .1868 2 0.91 1.17 .1869 1 0.91 1.11 .1870 3 0.91 1.18 .1871 1 0.91 1.34 .1872 1 0.91 1.17 .1873 1 0.91 1.13 .1874 2 0.91 1.14 .1875 2 0.91 1.15 .1876 1 0.91 1.18 .1877 1 0.91 1.09 .1878 1 0.91 1.24 .1879 1 0.91 1.15 .1880 1 0.91 1.17 .1881 1 0.91 1.09 .1882 1 0.91 1.15 .1883 1 0.91 1.14 .1884 1 0.91 1.09 .1885 1 0.91 1.21 .1886 1 0.91 1.14 .1887 1 0.91 1.08 .1888 1 0.91 1.11 .1889 1 0.91 1.17 .1890 1 0.91 1.20 .1891 1 0.91 1.16 .1892 1 0.91 1.19 .1893 1 0.91 1.14 .1894 2 0.91 1.20 .1895 1 0.91 1.13 .1896 2 0.91 1.12 .1897 1 0.91 1.22 .1898 3 0.91 1.31 .1899 2 0.91 1.25 .1900 1 0.91 1.40 .1901 2 0.91 1.42 .1902 1 0.91 1.18 .1903 2 0.91 1.19 .1904 2 0.91 1.27 .1905 1 0.91 1.16 .1906 1 0.91 1.20 .1907 1 0.91 1.14 .1908 1 0.91 1.18 .1909 1 0.91 1.13 .1910 2 0.91 1.26 .1911 2 0.91 1.17 .1912 1 0.91 1.14 .1913 1 0.91 1.15 .1914 1 0.91 1.10 .1915 1 0.91 1.18 .1916 1 0.91 1.10 .1917 1 0.91 1.25 .1918 1 0.91 1.17 .1919 1 0.91 1.18 .1920 1 0.91 1.12 .1921 1 0.91 1.08 .1922 1 0.91 1.14 .1923 1 0.91 1.21 .1924 1 0.91 1.13 .1925 1 0.91 1.20 .1926 1 0.91 1.14 .1927 2 0.91 1.30 .1928 2 0.91 1.27 .1929 1 0.91 1.16 .1930 1 0.91 1.13 .1931 1 0.91 1.22 .1932 3 0.91 1.21 .1933 1 0.91 1.26 .1934 1 0.91 1.18 .1935 1 0.91 1.21 .1936 1 0.91 1.16 .1937 1 0.91 1.17 .1938 1 0.91 1.10 .1939 1 0.91 1.22 .1940 2 0.91 1.09 .1941 2 0.91 1.20 .1942 1 0.91 1.10 .1943 1 0.91 1.14 .1944 1 0.91 1.20 .1945 1 0.91 1.15 .1946 1 0.91 1.18 .1947 1 0.91 1.20 .1948 2 0.91 1.17 .1949 1 0.91 1.19 .1950 1 0.91 1.24 .1951 1 0.91 1.15 .1952 1 0.91 1.22 .1953 2 0.91 1.21 .1954 1 0.91 1.13 .1955 1 0.91 1.11 .1956 1 0.91 1.14 .1957 1 0.91 1.18 .1958 1 0.91 1.19 .1959 1 0.91 1.21 .1960 1 0.91 1.13 .1961 1 0.91 1.07 .1962 1 0.91 1.13 .1963 1 0.91 1.05 .1964 1 0.91 1.21 .1965 1 0.91 1.24 .1966 1 0.91 1.14 .1967 1 0.91 1.12 .1968 1 0.91 1.17 .1969 1 0.91 1.11 .1970 1 0.91 1.34 .1971 6 0.91 1.24 .1972 1 0.91 1.18 .1973 2 0.91 1.10 .1974 1 0.91 1.16 .1975 1 0.91 1.17 .1976 1 0.91 1.15 .1977 1 0.91 1.15 .1978 1 0.91 1.10 .1979 1 0.91 1.15 .1980 1 0.91 1.12 .1981 1 0.91 1.20 .1982 1 0.91 1.16 .1983 1 0.91 1.18 .1984 1 0.91 1.16 .1985 1 0.91 1.19 .1986 1 0.91 1.19 .1987 1 0.91 1.19 .1988 2 0.91 1.19 .1989 1 0.91 1.15 .1990 2 0.91 1.16 .1991 2 0.91 1.18 .1992 1 0.91 1.43 .1993 1 0.91 1.19 .1994 1 0.91 1.15 .1995 1 0.91 1.19 .1996 1 0.91 1.11 .1997 1 0.91 1.23 .1998 1 0.91 1.12 .1999 1 0.91 1.23 .2000 1 0.91 1.16 .2001 1 0.91 1.19 .2002 1 0.91 1.24 .2003 1 0.91 1.20 .2004 1 0.91 1.16 .2005 1 0.91 1.21 .2006 1 0.91 1.27 .2007 2 0.91 1.25 .2008 1 0.91 1.22 .2009 1 0.91 1.12 .2010 1 0.91 1.21 .2011 1 0.91 1.15 .2012 1 0.91 1.15 .2013 1 0.91 1.11 .2014 4 0.91 1.22 .2015 2 0.91 1.24 .2016 1 0.91 1.26 .2017 1 0.91 1.17 .2018 1 0.91 1.21 .2019 1 0.91 1.15 .2020 1 0.91 1.21 .2021 1 0.91 1.09 .2022 1 0.91 1.22 .2023 1 0.91 1.23 .2024 1 0.91 1.19 .2025 1 0.91 1.15 .2026 1 0.91 1.17 .2027 1 0.91 1.17 .2028 1 0.91 1.15 .2029 1 0.91 1.14 .2030 1 0.91 1.21 .2031 2 0.91 1.23 .2032 1 0.91 1.16 .2033 3 0.91 1.15 .2034 2 0.91 1.14 .2035 3 0.91 1.11 .2036 2 0.91 1.20 .2037 1 0.91 1.21 .2038 1 0.91 1.22 .2039 1 0.91 1.12 .2040 1 0.91 1.18 .2041 1 0.91 1.13 .2042 1 0.91 1.09 .2043 1 0.91 1.40 .2044 2 0.91 1.22 .2045 2 0.91 1.20 .2046 1 0.91 1.47 .2047 1 0.91 1.21 EXTRACT_IMAGE: r1: masked 355 pixels SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r1: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r1: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Searching about coefficients = 3.86684 0.10142 -0.00449 -0.00022 ARCFIT_ITER: r1: Searching lags from -151 to 151 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Initial wavelength fit = 3.86684 0.10142 -0.00449 -0.00024 ARCFIT_GUESS: r1: Initial correlation = 0.760244 FITARCIMAGE_GLOBAL: r1: Best correlation = 0.760244 FITARCIMAGE_GLOBAL: r1: ASET = 3.86684 0.10142 -0.00449 -0.00024 SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Tracing 36 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 35 320 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Iterating flux-weighted centers . 0 320 0.134 . 1 320 0.131 . 2 320 0.138 . 3 320 0.133 . 4 320 0.134 . 5 320 0.137 . 6 320 0.133 . 7 320 0.135 . 8 320 0.137 . 9 320 0.137 . 10 320 0.132 . 11 320 0.132 . 12 320 0.131 . 13 320 0.131 . 14 320 0.138 . 15 320 0.147 . 16 320 0.138 . 17 320 0.140 . 18 320 0.135 . 19 320 0.137 . 20 320 0.126 . 21 320 0.135 . 22 320 0.135 . 23 320 0.136 . 24 320 0.131 . 25 320 0.133 . 26 320 0.129 . 27 320 0.128 . 28 320 0.132 . 29 320 0.133 . 30 320 0.133 . 31 320 0.140 . 32 320 0.138 . 33 320 0.125 . 34 320 0.132 . 35 320 0.132 . 36 320 0.131 . 37 320 0.136 . 38 320 0.129 . 39 320 0.145 . 40 320 0.139 . 41 320 0.136 . 42 320 0.139 . 43 320 0.133 . 44 320 0.144 . 45 320 0.119 . 46 320 0.126 . 47 320 0.141 . 48 320 0.131 . 49 320 0.129 . 50 320 0.127 . 51 320 0.136 . 52 320 0.138 . 53 320 0.136 . 54 320 0.132 . 55 320 0.141 . 56 320 0.135 . 57 320 0.153 . 58 320 0.129 . 59 320 0.130 . 60 320 0.130 . 61 320 0.139 . 62 320 0.132 . 63 320 0.131 . 64 320 0.138 . 65 320 0.135 . 66 320 0.138 . 67 320 0.128 . 68 320 0.129 . 69 320 0.130 . 70 320 0.128 . 71 320 0.128 . 72 320 0.134 . 73 320 0.130 . 74 320 0.131 . 75 320 0.127 . 76 320 0.124 . 77 320 0.128 . 78 320 0.130 . 79 320 0.138 . 80 320 0.125 . 81 320 0.123 . 82 320 0.130 . 83 320 0.122 . 84 320 0.136 . 85 320 0.137 . 86 320 0.139 . 87 320 0.127 . 88 320 0.123 . 89 320 0.126 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -2.9036186 4.0268332 1.0245685 1.2503879 7.5487327 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -8.4914602 2.9305241 0.30406847 -0.0000000 9.1807075 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 3 -0.16888559 0.20842924 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -4.7868710 3.4983909 0.76341063 -0.0000000 7.3920736 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 5 -4.8054062 0.29127100 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 6 -17.385022 0.29846983 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -3.6076340 3.8329229 0.59280552 -0.0000000 8.1679836 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -20.909968 4.1167523 0.45717716 -0.0000000 8.4984449 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 16 -28.621674 0.24286982 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 17 -12.021714 0.21338622 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 20 -8.0001253 4.1506578 0.35756438 0.40167702 9.5966670 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 22 -11.546808 3.8130275 0.36866210 -0.0000000 8.1793555 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 23 -4.5995752 3.2046831 0.52391443 -0.0000000 9.8606276 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 24 -10.268044 3.8857158 0.72388463 -0.0000000 7.7932552 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 25 -6.6458446 2.9752612 0.50503071 -0.0000000 9.5557074 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 26 -3.0963395 3.7360562 1.6744507 -0.0000000 7.5718146 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 27 -5.7691726 3.1760353 5.1782694 0.0000000 10.035268 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 28 -5.9969948 2.8807205 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 30 -30.032112 0.24588916 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 31 -14.583829 3.3530673 1.9497781 -0.0000000 10.210472 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 32 -22.602314 4.1887000 0.57361060 -0.0000000 8.8537962 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 33 -27.028076 5.4668411 0.59130475 0.75138494 8.7650058 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 34 -11.166526 3.4019107 0.56956489 -0.0000000 10.168108 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 35 -14.594031 3.7205096 2.2637568 -0.0000000 9.7279294 1 . 90 320 0.289 . 91 320 0.137 . 92 320 0.137 . 93 320 0.127 . 94 320 0.136 . 95 320 0.137 . 96 320 0.129 . 97 320 0.130 . 98 320 0.121 . 99 320 0.129 . 100 320 0.126 . 101 320 0.131 . 102 320 0.130 . 103 320 0.128 . 104 320 0.125 . 105 320 0.122 . 106 320 0.132 . 107 320 0.125 . 108 320 0.124 . 109 320 0.127 . 110 320 0.125 . 111 320 0.125 . 112 320 0.137 . 113 320 0.129 . 114 320 0.142 . 115 320 0.134 . 116 320 0.134 . 117 320 0.141 . 118 320 0.134 . 119 320 0.134 . 120 320 0.124 . 121 320 0.134 . 122 320 0.135 . 123 320 0.132 . 124 320 0.128 . 125 320 0.127 . 126 320 0.125 . 127 320 0.134 . 128 320 0.136 . 129 320 0.140 . 130 320 0.136 . 131 320 0.135 . 132 320 0.133 . 133 320 0.132 . 134 320 0.131 . 135 320 0.136 . 136 320 0.127 . 137 320 0.131 . 138 320 0.126 . 139 320 0.134 . 140 320 0.136 . 141 320 0.138 . 142 320 0.140 . 143 320 0.130 . 144 320 0.130 . 145 320 0.129 . 146 320 0.144 . 147 320 0.135 . 148 320 0.127 . 149 320 0.134 . 150 320 0.142 . 151 320 0.138 . 152 320 0.134 . 153 320 0.129 . 154 320 0.132 . 155 320 0.128 . 156 320 0.128 . 157 320 0.131 . 158 320 0.128 . 159 320 0.134 . 160 320 0.126 . 161 320 0.133 . 162 320 0.130 . 163 320 0.132 . 164 320 0.133 . 165 320 0.133 . 166 320 0.131 . 167 320 0.136 . 168 320 0.136 . 169 320 0.137 . 170 320 0.146 . 171 320 0.131 . 172 320 0.131 . 173 320 0.080 . 174 320 0.100 . 175 320 0.121 . 176 320 0.135 . 177 320 0.134 . 178 320 0.128 . 179 320 0.138 . 180 320 0.138 . 181 320 0.133 . 182 320 0.131 . 183 320 0.133 . 184 320 0.131 . 185 320 0.133 . 186 320 0.134 . 187 320 0.124 . 188 320 0.122 . 189 320 0.138 . 190 320 0.138 . 191 320 0.139 . 192 320 0.134 . 193 320 0.130 . 194 320 0.133 . 195 320 0.136 . 196 320 0.126 . 197 320 0.135 . 198 320 0.134 . 199 320 0.137 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 200 0 1.9986021 3.4754181 6.7955010 -0.0000000 611.37511 1 . 200 320 0.163 . 201 320 0.132 . 202 320 0.133 . 203 320 0.128 . 204 320 0.137 . 205 320 0.129 . 206 320 0.134 . 207 320 0.133 . 208 320 0.135 . 209 320 0.131 . 210 320 0.137 . 211 320 0.132 . 212 320 0.138 . 213 320 0.140 . 214 320 0.142 . 215 320 0.140 . 216 320 0.133 . 217 320 0.142 . 218 320 0.131 . 219 320 0.132 . 220 320 0.149 . 221 320 0.135 . 222 320 0.136 . 223 320 0.136 . 224 320 0.130 . 225 320 0.135 . 226 320 0.139 . 227 320 0.137 . 228 320 0.145 . 229 320 0.141 . 230 320 0.140 . 231 320 0.142 . 232 320 0.145 . 233 320 0.141 . 234 320 0.139 . 235 320 0.138 . 236 320 0.138 . 237 320 0.129 . 238 320 0.135 . 239 320 0.128 . 240 320 0.140 . 241 320 0.143 . 242 320 0.134 . 243 320 0.127 . 244 320 0.129 . 245 320 0.125 . 246 320 0.128 . 247 320 0.135 . 248 320 0.133 . 249 320 0.080 . 250 320 0.137 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -5.6358366 2.8044090 0.31259833 -0.0000000 8.3145620 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -3.5159055 2.6737082 0.35087822 -0.0000000 8.4483801 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -3.3640986 2.7113104 0.44453048 -0.0000000 8.7411219 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 3 -10.765167 0.20710388 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -6.2051366 2.6219334 0.79208515 -0.0000000 8.4997920 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 5 -23.610998 3.5347974 0.31173603 -0.0000000 7.8752951 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 9 -13.586040 3.4626759 0.34497805 -0.0000000 7.5273430 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 20 -13.602343 3.5990204 0.40060949 -0.0000000 8.0758082 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 22 -11.124809 0.25952137 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 23 -8.1510826 2.7832599 3.4180259 -0.0000000 244.35085 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 24 -5.6003474 2.8497043 0.59554705 -0.0000000 8.8557890 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 25 -6.0227043 2.6755873 1.2991763 -0.0000000 8.3794035 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 26 -0.76845267 2.8411165 5.1269988 0.0000000 8.9247092 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 27 -13.432189 3.5661231 0.86364581 -0.0000000 7.4814947 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 28 -11.065999 3.0656535 0.47045795 -0.0000000 9.3965344 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 30 -15.056027 3.2532025 0.51564592 -0.0000000 10.800251 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 31 -8.9576125 3.2512310 0.39715959 -0.0000000 10.420955 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 32 -13.779542 3.3327951 0.68913399 -0.0000000 10.076354 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 33 -19.703661 2.7850737 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 34 -14.359196 3.1768742 2.2576595 -0.0000000 9.8281114 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 35 -10.751758 3.1998044 0.60208981 -0.0000000 10.062244 1 . 251 320 0.248 . 252 320 0.128 . 253 320 0.128 . 254 320 0.128 . 255 320 0.131 . 256 320 0.131 . 257 320 0.129 . 258 320 0.134 . 259 320 0.130 . 260 320 0.132 . 261 320 0.129 . 262 320 0.127 . 263 320 0.134 . 264 320 0.136 . 265 320 0.132 . 266 320 0.129 . 267 320 0.128 . 268 320 0.128 . 269 320 0.132 . 270 320 0.134 . 271 320 0.128 . 272 320 0.124 . 273 320 0.125 . 274 320 0.129 . 275 320 0.126 . 276 320 0.127 . 277 320 0.128 . 278 320 0.131 . 279 320 0.133 . 280 320 0.131 . 281 320 0.135 . 282 320 0.128 . 283 320 0.124 . 284 320 0.132 . 285 320 0.129 . 286 320 0.125 . 287 320 0.127 . 288 320 0.124 . 289 320 0.128 . 290 320 0.136 . 291 320 0.126 . 292 320 0.127 . 293 320 0.120 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 1 -5.6687834 4.4416887 0.34468345 0.46840802 7.1222637 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 2 0.27613088 3.2876489 0.50658914 -0.0000000 6.7573607 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 3 -5.2439143 0.21121749 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 4 -6.8224129 2.5508006 0.47740727 -0.0000000 7.7874032 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 9 -5.8841035 0.26950618 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 11 -11.523452 0.22006817 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 16 -22.010705 0.27035776 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 20 -7.2472871 0.22567837 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 22 -16.817375 3.4534534 0.33287648 -0.0000000 7.5947046 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 23 -11.661421 2.7675914 0.36256624 -0.0000000 9.2225579 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 24 -5.5370050 2.8217863 0.59889376 -0.0000000 9.0231260 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 25 -11.722029 3.1964713 0.41556053 -0.0000000 6.7491109 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 26 -6.2036865 3.4884308 1.2997074 -0.0000000 6.9672184 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 27 -15.747349 2.7966987 0.32517157 -0.0000000 9.4685921 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 28 -11.949055 3.0478730 0.55498871 -0.0000000 9.4641971 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 29 -18.094444 3.3998823 0.46399878 -0.0000000 10.744758 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 30 -13.701925 3.2893527 0.43584772 -0.0000000 11.120589 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 31 -9.6576648 3.6985212 1.1256588 1.2987197 10.797525 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 32 -14.653850 3.2765202 0.50489764 -0.0000000 10.356755 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 33 -21.898700 2.8550554 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 34 -19.023472 3.9386926 0.61099135 0.72183714 8.3961654 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 35 -13.964616 2.7514513 0.0000000 0.0000000 0.0000000 3 . 294 320 0.230 . 295 320 0.135 . 296 320 0.139 . 297 320 0.139 . 298 320 0.134 . 299 320 0.126 . 300 320 0.129 . 301 320 0.127 . 302 320 0.122 . 303 320 0.126 . 304 320 0.125 . 305 320 0.123 . 306 320 0.129 . 307 320 0.124 . 308 320 0.124 . 309 320 0.131 . 310 320 0.130 . 311 320 0.126 . 312 320 0.131 . 313 320 0.129 . 314 320 0.128 . 315 320 0.128 . 316 320 0.123 . 317 320 0.127 . 318 320 0.123 . 319 320 0.122 FITARCIMAGE_GLOBAL: r1: Discarding trace 0, at 5790.6630 with 203 centroids too close to an edge FITARCIMAGE_GLOBAL: r1: Line 1, at 5852.4880 Ang: ERR= 0.0120017 ERR_RMS= 0.000976994 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 2, at 5881.8950 Ang: ERR= 0.0117566 ERR_RMS= 0.000984658 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 3, at 5944.8340 Ang: ERR= 0.00754606 ERR_RMS= 0.0195383 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 4, at 6029.9970 Ang: ERR= 0.0146528 ERR_RMS= 0.00135952 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 5, at 6074.3380 Ang: ERR= 0.00719141 ERR_RMS= 0.0191658 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 6, at 6096.1630 Ang: ERR= 0.00549803 ERR_RMS= 0.0190352 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 7, at 6143.0630 Ang: ERR= 0.00362270 ERR_RMS= 0.00757587 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 8, at 6163.5940 Ang: ERR= 0.00640800 ERR_RMS= 0.0160055 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 9, at 6217.2810 Ang: ERR= 0.00850964 ERR_RMS= 0.0147006 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 10, at 6266.4950 Ang: ERR= 0.00494126 ERR_RMS= 0.0148584 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 11, at 6304.7890 Ang: ERR= 0.00785781 ERR_RMS= 0.0158169 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 12, at 6334.4280 Ang: ERR= 0.00381101 ERR_RMS= 0.00884134 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 13, at 6382.9920 Ang: ERR= 0.00366917 ERR_RMS= 0.00813519 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 14, at 6402.2460 Ang: ERR= 0.00238258 ERR_RMS= 0.00387556 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 15, at 6506.5280 Ang: ERR= 0.00306919 ERR_RMS= 0.00536405 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 16, at 6532.8820 Ang: ERR= 0.00576260 ERR_RMS= 0.0212169 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 17, at 6598.9530 Ang: ERR= 0.00494332 ERR_RMS= 0.0147596 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 18, at 6717.0430 Ang: ERR= 0.00447423 ERR_RMS= 0.0101453 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 19, at 6929.4670 Ang: ERR= 0.00377866 ERR_RMS= 0.00812766 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 20, at 7173.9380 Ang: ERR= 0.00823461 ERR_RMS= 0.0122513 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 21, at 7245.1670 Ang: ERR= 0.00390252 ERR_RMS= 0.00851178 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 22, at 7438.9000 Ang: ERR= 0.00821297 ERR_RMS= 0.0142047 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 23, at 7488.8710 Ang: ERR= 0.0150260 ERR_RMS= 0.00140642 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 24, at 7535.7740 Ang: ERR= 0.0170980 ERR_RMS= 0.00177595 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 25, at 7635.1060 Ang: ERR= 0.0299921 ERR_RMS= 0.00339817 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 26, at 8014.7860 Ang: ERR= 0.0773811 ERR_RMS= 0.0118099 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 27, at 8103.6930 Ang: ERR= 0.0574189 ERR_RMS= 0.00850580 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 28, at 8300.3260 Ang: ERR= 0.0240634 ERR_RMS= 0.00264249 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 29, at 8377.6065 Ang: ERR= 0.00955623 ERR_RMS= 0.0141203 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 30, at 8495.3598 Ang: ERR= 0.0137406 ERR_RMS= 0.0131626 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 31, at 8591.2583 Ang: ERR= 0.0256609 ERR_RMS= 0.00339766 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 32, at 8634.6470 Ang: ERR= 0.0277293 ERR_RMS= 0.00293415 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 33, at 8654.3831 Ang: ERR= 0.0175672 ERR_RMS= 0.00170589 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 34, at 8853.8670 Ang: ERR= 0.0403399 ERR_RMS= 0.00451439 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 35, at 9122.9674 Ang: ERR= 0.0879392 ERR_RMS= 0.0159917 pix, 8 masked. FITARCIMAGE_GLOBAL: r1: Number of good arc lines: 35 FITARCIMAGE_GLOBAL: r1: Number of arclines = 35 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 1 17 35 1 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 1 27 35 1 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 4 46 35 2 47 35 1 48 35 0 49 35 1 50 35 0 51 35 0 52 35 0 53 35 0 54 35 1 55 35 0 56 35 0 57 35 1 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 1 65 35 0 66 35 0 67 35 0 68 35 1 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 1 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 20 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 1 99 35 2 100 35 0 101 35 0 102 35 0 103 35 0 104 35 2 105 35 1 106 35 0 107 35 0 108 35 0 109 35 0 110 35 1 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 1 134 35 0 135 35 0 136 35 0 137 35 2 138 35 1 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 1 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 1 152 35 1 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 1 162 35 1 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 1 173 35 14 174 35 8 175 35 1 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 1 184 35 1 185 35 0 186 35 0 187 35 0 188 35 2 189 35 0 190 35 1 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 2 217 35 0 218 35 0 219 35 0 220 35 1 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 1 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 1 249 35 14 250 35 0 251 35 22 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 1 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 26 295 35 0 296 35 0 297 35 0 298 35 0 299 35 1 300 35 0 301 35 1 302 35 0 303 35 0 304 35 0 305 35 3 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 2 317 35 0 318 35 1 319 35 0 XY2TRACESET: r1: Total rejected = 158 Pass 1 complete FITARCIMAGE_GLOBAL: r1: Number of arclines after bundle test = 35 FITARCLINES: r1: ncoeffs (x,y): 4 5 FITARCLINES: r1: fit rchi2: 0.066624467 FITARCLINES: r1: offset stddev: 320 2.5713035e-13 FITARCLINES: r1: scale stddev: 320 6.4368713e-13 FITARCLINES: r1: poly x,y,stddev: 0 0 5.3270304e-07 FITARCLINES: r1: poly x,y,stddev: 1 0 1.5877883e-06 FITARCLINES: r1: poly x,y,stddev: 2 0 1.2795565e-06 FITARCLINES: r1: poly x,y,stddev: 3 0 2.5473660e-06 FITARCLINES: r1: poly x,y,stddev: 0 1 3.8445413e-07 FITARCLINES: r1: poly x,y,stddev: 1 1 1.1507304e-06 FITARCLINES: r1: poly x,y,stddev: 2 1 9.2945327e-07 FITARCLINES: r1: poly x,y,stddev: 3 1 1.8507809e-06 FITARCLINES: r1: poly x,y,stddev: 0 2 2.6014457e-07 FITARCLINES: r1: poly x,y,stddev: 1 2 7.6413390e-07 FITARCLINES: r1: poly x,y,stddev: 2 2 6.0397953e-07 FITARCLINES: r1: poly x,y,stddev: 3 2 1.2066076e-06 FITARCLINES: r1: correcting per-fiber coefficients for fibers: 239 260 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: BADARC lines masked: 239 260 FITARCIMAGE_GLOBAL: r1: IVAR=0 centroids masked: 115 Final arcfit complete FITARCIMAGE_GLOBAL: r1: Time 65. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 2 1.00 7.69 .0001 1 1.00 9.59 .0002 3 1.00 7.94 .0003 1 1.00 9.48 .0004 2 1.00 8.98 .0005 2 1.00 8.60 .0006 1 1.00 10.21 .0007 1 1.00 10.07 .0008 1 1.00 10.47 .0009 1 1.00 10.01 .0010 1 1.00 9.25 .0011 1 1.00 9.45 .0012 1 1.00 8.35 .0013 2 1.00 7.82 .0014 1 1.00 9.21 .0015 1 1.00 8.84 .0016 1 1.00 9.61 .0017 3 1.00 8.18 .0018 2 1.00 8.66 .0019 1 1.00 9.10 .0020 2 1.00 8.40 .0021 1 1.00 9.30 .0022 2 1.00 8.47 .0023 2 1.00 8.57 .0024 2 1.00 9.28 .0025 2 1.00 8.47 .0026 1 1.00 8.74 .0027 3 1.00 8.27 .0028 1 1.00 9.76 .0029 2 1.00 8.39 .0030 2 1.00 8.11 .0031 2 1.00 8.85 .0032 2 1.00 8.56 .0033 1 1.00 8.34 .0034 2 1.00 8.43 .0035 2 1.00 8.68 .0036 2 1.00 8.46 .0037 2 1.00 8.06 .0038 1 1.00 9.38 .0039 3 1.00 7.95 .0040 3 1.00 7.36 .0041 2 1.00 8.77 .0042 2 1.00 8.75 .0043 2 1.00 8.68 .0044 2 1.00 9.72 .0045 3 1.00 8.08 .0046 2 1.00 7.85 .0047 2 1.00 9.12 .0048 3 1.00 7.28 .0049 2 1.00 8.53 .0050 2 1.00 9.03 .0051 3 1.00 8.25 .0052 3 1.00 8.09 .0053 2 1.00 9.33 .0054 2 1.00 8.46 .0055 2 1.00 8.67 .0056 2 1.00 8.79 .0057 1 1.00 10.78 .0058 3 1.00 8.41 .0059 2 1.00 8.08 .0060 3 1.00 7.64 .0061 2 1.00 8.28 .0062 3 1.00 9.15 .0063 4 1.00 8.03 .0064 3 1.00 7.99 .0065 3 1.00 6.70 .0066 2 1.00 8.36 .0067 2 1.00 8.00 .0068 2 1.00 9.29 .0069 3 1.00 8.43 .0070 3 1.00 7.25 .0071 3 1.00 8.04 .0072 3 1.00 8.46 .0073 3 1.00 8.09 .0074 2 1.00 8.50 .0075 2 1.00 8.56 .0076 3 1.00 7.28 .0077 3 1.00 8.66 .0078 3 1.00 8.51 .0079 3 1.00 8.18 .0080 2 1.00 7.06 .0081 4 1.00 5.39 .0082 2 1.00 7.99 .0083 3 1.00 6.68 .0084 3 1.00 5.25 .0085 3 1.00 6.37 .0086 4 1.00 6.37 .0087 2 1.00 7.18 .0088 3 1.00 6.48 .0089 2 1.00 6.60 .0090 1 1.00 0.86 .0091 2 1.00 2.10 .0092 3 1.00 6.32 .0093 3 1.00 6.42 .0094 3 1.00 6.80 .0095 2 1.00 7.31 .0096 2 1.00 6.14 .0097 4 1.00 6.19 .0098 3 1.00 5.44 .0099 2 1.00 5.77 .0100 4 1.00 5.74 .0101 5 1.00 6.48 .0102 3 1.00 6.33 .0103 3 1.00 6.64 .0104 2 1.00 6.31 .0105 3 1.00 6.10 .0106 3 1.00 5.98 .0107 3 1.00 6.31 .0108 3 1.00 7.16 .0109 4 1.00 6.43 .0110 3 1.00 6.63 .0111 4 1.00 5.76 .0112 3 1.00 7.31 .0113 3 1.00 6.66 .0114 3 1.00 6.83 .0115 3 1.00 7.59 .0116 4 1.00 6.42 .0117 3 1.00 7.73 .0118 3 1.00 7.18 .0119 3 1.00 6.15 .0120 6 1.00 4.46 .0121 4 1.00 5.52 .0122 3 1.00 6.85 .0123 3 1.00 7.03 .0124 2 1.00 7.82 .0125 3 1.00 6.63 .0126 4 1.00 5.52 .0127 3 1.00 7.40 .0128 4 1.00 6.31 .0129 3 1.00 7.14 .0130 3 1.00 6.65 .0131 3 1.00 7.06 .0132 4 1.00 6.73 .0133 3 1.00 6.57 .0134 3 1.00 7.35 .0135 4 1.00 6.58 .0136 2 1.00 7.25 .0137 3 1.00 5.93 .0138 3 1.00 5.83 .0139 3 1.00 5.99 .0140 4 1.00 6.48 .0141 2 1.00 8.25 .0142 2 1.00 6.88 .0143 3 1.00 6.65 .0144 3 1.00 6.61 .0145 3 1.00 6.34 .0146 3 1.00 6.62 .0147 3 1.00 6.56 .0148 3 1.00 6.93 .0149 3 1.00 6.87 .0150 3 1.00 6.87 .0151 4 1.00 6.37 .0152 3 1.00 6.27 .0153 3 1.00 6.82 .0154 3 1.00 6.75 .0155 3 1.00 6.54 .0156 3 1.00 6.59 .0157 4 1.00 6.46 .0158 3 1.00 6.76 .0159 3 1.00 6.56 .0160 4 1.00 6.49 .0161 3 1.00 6.57 .0162 3 1.00 7.32 .0163 3 1.00 6.65 .0164 3 1.00 6.52 .0165 3 1.00 7.18 .0166 3 1.00 6.89 .0167 3 1.00 7.00 .0168 4 1.00 6.73 .0169 3 1.00 7.64 .0170 4 1.00 6.72 .0171 4 1.00 6.88 .0172 2 1.00 7.82 .0173 4 1.00 1.72 .0174 1 1.00 5.43 .0175 4 1.00 6.74 .0176 3 1.00 7.19 .0177 2 1.00 8.44 .0178 3 1.00 7.04 .0179 3 1.00 7.41 .0180 3 1.00 6.16 .0181 4 1.00 5.81 .0182 3 1.00 6.10 .0183 4 1.00 5.68 .0184 4 1.00 5.37 .0185 4 1.00 5.79 .0186 4 1.00 5.59 .0187 3 1.00 5.64 .0188 4 1.00 4.98 .0189 4 1.00 5.59 .0190 4 1.00 5.82 .0191 4 1.00 5.89 .0192 4 1.00 5.74 .0193 3 1.00 6.38 .0194 3 1.00 6.21 .0195 3 1.00 5.92 .0196 3 1.00 5.72 .0197 3 1.00 6.62 .0198 3 1.00 6.21 .0199 4 1.00 5.65 .0200 3 1.00 7.18 .0201 3 1.00 7.21 .0202 3 1.00 7.16 .0203 3 1.00 7.14 .0204 3 1.00 7.02 .0205 3 1.00 6.43 .0206 2 1.00 6.51 .0207 3 1.00 6.62 .0208 3 1.00 6.34 .0209 3 1.00 7.04 .0210 3 1.00 6.96 .0211 4 1.00 6.72 .0212 4 1.00 6.42 .0213 3 1.00 6.25 .0214 3 1.00 6.88 .0215 3 1.00 7.16 .0216 3 1.00 6.84 .0217 3 1.00 7.34 .0218 2 1.00 8.06 .0219 4 1.00 6.73 .0220 3 1.00 7.32 .0221 3 1.00 7.73 .0222 3 1.00 7.05 .0223 2 1.00 7.66 .0224 4 1.00 6.57 .0225 3 1.00 7.64 .0226 3 1.00 7.30 .0227 3 1.00 7.47 .0228 3 1.00 7.08 .0229 3 1.00 7.68 .0230 2 1.00 7.46 .0231 3 1.00 7.68 .0232 2 1.00 7.85 .0233 3 1.00 7.56 .0234 3 1.00 6.99 .0235 3 1.00 7.62 .0236 2 1.00 7.99 .0237 3 1.00 6.67 .0238 3 1.00 7.32 .0239 2 1.00 138.71 .0240 4 1.00 6.19 .0241 3 1.00 7.02 .0242 5 1.00 5.90 .0243 3 1.00 6.99 .0244 4 1.00 6.56 .0245 4 1.00 5.98 .0246 4 1.00 6.04 .0247 3 1.00 6.88 .0248 4 1.00 5.75 .0249 1 1.00 4.85 .0250 3 1.00 7.57 .0251 1 1.00 0.95 .0252 3 1.00 6.90 .0253 4 1.00 6.02 .0254 3 1.00 5.96 .0255 4 1.00 6.16 .0256 3 1.00 7.20 .0257 2 1.00 6.49 .0258 2 1.00 7.81 .0259 2 1.00 7.54 .0260 4 1.00 7.91 .0261 3 1.00 5.28 .0262 3 1.00 5.00 .0263 3 1.00 4.98 .0264 4 1.00 6.11 .0265 3 1.00 5.61 .0266 4 1.00 5.95 .0267 3 1.00 5.88 .0268 4 1.00 5.72 .0269 3 1.00 6.95 .0270 6 1.00 5.51 .0271 4 1.00 6.27 .0272 4 1.00 6.01 .0273 3 1.00 5.59 .0274 4 1.00 6.02 .0275 3 1.00 6.06 .0276 3 1.00 6.05 .0277 5 1.00 5.77 .0278 4 1.00 6.20 .0279 3 1.00 7.01 .0280 3 1.00 6.90 .0281 3 1.00 7.47 .0282 3 1.00 6.87 .0283 4 1.00 5.92 .0284 4 1.00 6.34 .0285 3 1.00 5.79 .0286 3 1.00 6.02 .0287 4 1.00 6.37 .0288 3 1.00 5.84 .0289 3 1.00 6.91 .0290 3 1.00 6.63 .0291 2 1.00 7.18 .0292 2 1.00 7.44 .0293 4 1.00 5.45 .0294 1 1.00 1.02 .0295 3 1.00 6.68 .0296 4 1.00 6.53 .0297 3 1.00 6.73 .0298 2 1.00 6.77 .0299 3 1.00 6.48 .0300 3 1.00 6.41 .0301 3 1.00 6.17 .0302 3 1.00 6.11 .0303 3 1.00 5.75 .0304 4 1.00 5.44 .0305 4 1.00 4.86 .0306 4 1.00 4.83 .0307 3 1.00 6.16 .0308 3 1.00 7.14 .0309 3 1.00 5.47 .0310 3 1.00 6.00 .0311 4 1.00 5.97 .0312 3 1.00 7.12 .0313 3 1.00 7.00 .0314 4 1.00 6.08 .0315 3 1.00 6.78 .0316 2 1.00 6.38 .0317 3 1.00 7.04 .0318 4 1.00 6.16 .0319 4 1.00 6.05 EXTRACT_IMAGE: r1: masked 652 pixels TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 0 FITDISPERSION: r1: Median wavelength widths = 0.85 0.85 0.81 0.80 pix (LL LR UL UR) SPCALIB: r1: Create fiberflats for flat # 1 of 2 SPCALIB: r1: Flat sdR-r1-00034673.fit paired with arc sdR-r1-00034674.fit SPCALIB: r1: Reading flat sdR-r1-00034673.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.98984 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1184.20 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1164. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.69474 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1234.02 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1214. DN is 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 2 0.98 1.54 .0001 2 0.98 1.32 .0002 2 0.97 1.35 .0003 2 0.97 1.33 .0004 2 0.97 1.35 .0005 2 0.97 1.39 .0006 2 0.97 1.38 .0007 2 0.97 1.32 .0008 2 0.97 1.36 .0009 2 0.97 1.36 .0010 2 0.97 1.54 .0011 2 0.97 1.41 .0012 2 0.97 1.33 .0013 2 0.97 1.44 .0014 2 0.97 1.53 .0015 2 0.97 1.40 .0016 2 0.97 1.38 .0017 2 0.97 1.44 .0018 2 0.97 1.47 .0019 2 0.97 1.53 .0020 2 0.97 1.47 .0021 2 0.97 1.58 .0022 2 0.97 1.56 .0023 2 0.97 1.49 .0024 2 0.97 1.62 .0025 2 0.97 1.58 .0026 2 0.97 1.50 .0027 2 0.97 1.48 .0028 2 0.97 1.64 .0029 2 0.97 1.58 .0030 2 0.97 1.53 .0031 2 0.97 1.53 .0032 2 0.97 1.50 .0033 2 0.97 1.58 .0034 2 0.97 1.58 .0035 2 0.97 1.63 .0036 2 0.97 1.67 .0037 2 0.97 1.51 .0038 2 0.97 1.68 .0039 2 0.97 1.61 .0040 2 0.97 1.72 .0041 2 0.97 1.78 .0042 2 0.97 1.77 .0043 2 0.97 1.69 .0044 2 0.97 1.80 .0045 2 0.97 1.65 .0046 2 0.97 1.73 .0047 3 0.97 1.80 .0048 3 0.97 1.96 .0049 2 0.97 1.84 .0050 2 0.97 1.84 .0051 1 0.97 1.96 .0052 1 0.97 2.09 .0053 1 0.97 2.03 .0054 1 0.97 1.98 .0055 1 0.97 2.09 .0056 1 0.97 2.07 .0057 1 0.97 1.91 .0058 1 0.97 1.99 .0059 1 0.97 2.10 .0060 1 0.97 2.12 .0061 1 0.96 2.00 .0062 1 0.96 1.97 .0063 1 0.96 1.90 .0064 1 0.96 1.91 .0065 1 0.96 1.92 .0066 1 0.96 1.90 .0067 1 0.96 1.87 .0068 1 0.96 2.13 .0069 1 0.96 1.97 .0070 2 0.96 1.94 .0071 3 0.96 1.90 .0072 1 0.96 2.00 .0073 1 0.96 1.91 .0074 1 0.96 1.95 .0075 1 0.96 1.93 .0076 1 0.96 2.09 .0077 1 0.96 2.00 .0078 1 0.96 1.87 .0079 1 0.96 1.93 .0080 1 0.96 2.00 .0081 1 0.96 1.96 .0082 1 0.96 1.96 .0083 1 0.96 1.88 .0084 1 0.96 1.92 .0085 1 0.96 1.93 .0086 1 0.96 2.03 .0087 1 0.96 2.01 .0088 1 0.96 1.91 .0089 1 0.96 2.01 .0090 1 0.96 1.93 .0091 3 0.96 1.96 .0092 2 0.96 2.20 .0093 1 0.96 1.87 .0094 1 0.96 1.99 .0095 2 0.96 2.03 .0096 2 0.96 1.78 .0097 1 0.96 2.07 .0098 1 0.96 1.82 .0099 1 0.96 1.94 .0100 2 0.96 2.00 .0101 4 0.96 1.87 .0102 1 0.96 2.49 .0103 1 0.96 1.99 .0104 1 0.96 1.91 .0105 1 0.96 1.93 .0106 1 0.96 1.92 .0107 1 0.96 1.93 .0108 1 0.96 1.83 .0109 1 0.96 1.94 .0110 1 0.96 2.10 .0111 1 0.96 2.04 .0112 1 0.96 1.81 .0113 1 0.96 1.89 .0114 1 0.96 1.85 .0115 1 0.96 1.91 .0116 1 0.96 1.81 .0117 1 0.96 1.77 .0118 1 0.96 1.88 .0119 1 0.96 2.34 .0120 1 0.96 1.95 .0121 1 0.96 2.03 .0122 1 0.96 1.75 .0123 1 0.96 1.90 .0124 1 0.96 1.92 .0125 1 0.96 1.87 .0126 1 0.96 1.97 .0127 1 0.96 1.94 .0128 1 0.96 1.90 .0129 1 0.95 1.91 .0130 1 0.95 1.83 .0131 1 0.95 1.93 .0132 1 0.95 1.91 .0133 1 0.95 1.81 .0134 1 0.95 1.82 .0135 1 0.95 1.81 .0136 1 0.95 1.89 .0137 1 0.95 1.75 .0138 1 0.95 1.84 .0139 1 0.95 1.87 .0140 3 0.95 1.83 .0141 1 0.95 1.83 .0142 1 0.95 1.84 .0143 1 0.95 1.86 .0144 1 0.95 1.79 .0145 1 0.95 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5.39 .1922 1 0.91 5.37 .1923 1 0.91 5.28 .1924 1 0.91 5.10 .1925 1 0.91 4.99 .1926 1 0.91 5.16 .1927 1 0.91 5.34 .1928 1 0.91 4.97 .1929 1 0.91 5.12 .1930 1 0.91 5.11 .1931 1 0.91 5.03 .1932 1 0.91 5.13 .1933 1 0.91 5.13 .1934 1 0.91 5.16 .1935 1 0.91 5.10 .1936 1 0.91 5.05 .1937 2 0.91 6.25 .1938 1 0.91 5.57 .1939 1 0.91 5.16 .1940 1 0.91 5.39 .1941 1 0.91 5.43 .1942 1 0.91 5.36 .1943 1 0.91 5.34 .1944 1 0.91 5.54 .1945 1 0.91 5.05 .1946 1 0.91 5.14 .1947 1 0.91 5.50 .1948 1 0.91 5.34 .1949 1 0.91 5.49 .1950 1 0.91 5.22 .1951 1 0.91 5.01 .1952 1 0.91 5.60 .1953 3 0.91 5.23 .1954 1 0.91 5.30 .1955 1 0.91 5.36 .1956 1 0.91 5.38 .1957 1 0.91 5.41 .1958 1 0.91 5.14 .1959 1 0.91 5.13 .1960 1 0.91 5.20 .1961 1 0.91 5.19 .1962 1 0.91 5.24 .1963 1 0.91 4.95 .1964 1 0.91 5.34 .1965 1 0.91 5.08 .1966 1 0.91 4.96 .1967 1 0.91 5.30 .1968 1 0.91 5.19 .1969 1 0.91 5.17 .1970 1 0.91 5.23 .1971 1 0.91 5.26 .1972 1 0.91 5.01 .1973 1 0.91 5.18 .1974 1 0.91 5.16 .1975 1 0.91 5.12 .1976 1 0.91 5.11 .1977 1 0.91 5.50 .1978 1 0.91 5.17 .1979 1 0.91 5.21 .1980 1 0.91 4.90 .1981 1 0.91 5.17 .1982 1 0.91 4.90 .1983 1 0.91 5.61 .1984 1 0.91 5.06 .1985 1 0.91 5.27 .1986 1 0.91 5.33 .1987 1 0.91 5.06 .1988 1 0.91 5.11 .1989 1 0.91 5.17 .1990 1 0.91 5.22 .1991 1 0.91 5.31 .1992 1 0.91 5.11 .1993 1 0.91 5.20 .1994 1 0.91 5.12 .1995 1 0.91 5.07 .1996 1 0.91 5.10 .1997 1 0.91 5.13 .1998 1 0.91 4.95 .1999 1 0.91 5.24 .2000 1 0.91 5.02 .2001 1 0.91 5.20 .2002 1 0.91 5.52 .2003 1 0.91 5.54 .2004 1 0.91 4.84 .2005 1 0.91 5.09 .2006 1 0.91 5.14 .2007 1 0.91 4.73 .2008 1 0.91 4.76 .2009 1 0.91 4.88 .2010 1 0.91 4.96 .2011 1 0.91 5.01 .2012 1 0.91 4.83 .2013 1 0.91 5.01 .2014 1 0.91 5.32 .2015 1 0.91 4.82 .2016 1 0.91 4.74 .2017 1 0.91 4.66 .2018 1 0.91 4.81 .2019 1 0.91 4.81 .2020 1 0.91 4.84 .2021 1 0.91 5.04 .2022 1 0.91 5.06 .2023 1 0.91 4.86 .2024 1 0.91 5.12 .2025 1 0.91 5.12 .2026 1 0.91 5.02 .2027 1 0.91 5.31 .2028 1 0.91 5.02 .2029 1 0.91 5.05 .2030 1 0.91 5.02 .2031 1 0.91 5.03 .2032 1 0.91 4.72 .2033 1 0.91 5.05 .2034 1 0.91 5.16 .2035 1 0.91 5.10 .2036 1 0.91 4.79 .2037 1 0.91 4.59 .2038 1 0.91 4.56 .2039 1 0.91 4.79 .2040 1 0.91 4.47 .2041 1 0.91 4.79 .2042 1 0.91 4.90 .2043 1 0.91 4.84 .2044 1 0.91 4.63 .2045 1 0.91 4.96 .2046 1 0.91 5.31 .2047 1 0.91 4.84 EXTRACT_IMAGE: r1: masked 280 pixels DOSCATTER: r1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r1: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r1: adding rows: 64 Step 4 of 2112 0.58 96 0.01 0.15 Step 12 of 2112 0.58 96 0.01 0.14 Step 20 of 2112 0.58 96 0.01 0.15 Step 28 of 2112 0.58 96 0.01 0.14 Step 36 of 2112 0.58 96 0.01 0.15 Step 44 of 2112 0.58 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.16 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.16 Step 92 of 2112 0.59 96 0.02 0.16 Step 100 of 2112 0.59 96 0.02 0.14 Step 108 of 2112 0.59 96 0.02 0.14 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.01 0.15 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.60 96 0.02 0.15 Step 172 of 2112 0.60 96 0.02 0.15 Step 180 of 2112 0.60 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.14 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.15 Step 228 of 2112 0.61 96 0.02 0.15 Step 236 of 2112 0.61 96 0.02 0.15 Step 244 of 2112 0.61 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.16 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.14 Step 292 of 2112 0.62 96 0.02 0.14 Step 300 of 2112 0.62 96 0.02 0.14 Step 308 of 2112 0.62 96 0.02 0.13 Step 316 of 2112 0.63 96 0.02 0.14 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.14 Step 356 of 2112 0.63 96 0.02 0.14 Step 364 of 2112 0.63 96 0.02 0.14 Step 372 of 2112 0.63 96 0.02 0.14 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.15 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.16 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.01 0.15 Step 428 of 2112 0.64 96 0.01 0.15 Step 436 of 2112 0.64 96 0.01 0.15 Step 444 of 2112 0.65 96 0.01 0.16 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.14 Step 468 of 2112 0.65 96 0.02 0.14 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.02 0.21 Step 492 of 2112 0.65 128 0.02 0.21 Step 500 of 2112 0.65 128 0.02 0.21 Step 508 of 2112 0.66 128 0.03 0.21 Step 516 of 2112 0.66 128 0.02 0.20 Step 524 of 2112 0.66 128 0.02 0.21 Step 532 of 2112 0.66 128 0.02 0.21 Step 540 of 2112 0.66 128 0.02 0.21 Step 548 of 2112 0.66 128 0.02 0.21 Step 556 of 2112 0.66 128 0.02 0.21 Step 564 of 2112 0.66 128 0.02 0.21 Step 572 of 2112 0.67 128 0.03 0.21 Step 580 of 2112 0.67 128 0.02 0.21 Step 588 of 2112 0.67 128 0.03 0.20 Step 596 of 2112 0.67 128 0.02 0.20 Step 604 of 2112 0.67 128 0.02 0.21 Step 612 of 2112 0.67 128 0.02 0.20 Step 620 of 2112 0.67 128 0.03 0.20 Step 628 of 2112 0.68 128 0.03 0.21 Step 636 of 2112 0.68 128 0.03 0.21 Step 644 of 2112 0.68 128 0.04 0.21 Step 652 of 2112 0.68 128 0.03 0.21 Step 660 of 2112 0.68 128 0.03 0.19 Step 668 of 2112 0.68 128 0.03 0.19 Step 676 of 2112 0.68 128 0.03 0.19 Step 684 of 2112 0.68 128 0.03 0.21 Step 692 of 2112 0.69 128 0.03 0.22 Step 700 of 2112 0.69 128 0.03 0.21 Step 708 of 2112 0.69 128 0.02 0.20 Step 716 of 2112 0.69 128 0.02 0.20 Step 724 of 2112 0.69 128 0.02 0.19 Step 732 of 2112 0.69 128 0.02 0.19 Step 740 of 2112 0.69 128 0.02 0.20 Step 748 of 2112 0.69 128 0.03 0.21 Step 756 of 2112 0.70 128 0.02 0.20 Step 764 of 2112 0.70 128 0.02 0.20 Step 772 of 2112 0.70 128 0.02 0.20 Step 780 of 2112 0.70 128 0.02 0.20 Step 788 of 2112 0.70 128 0.02 0.19 Step 796 of 2112 0.70 128 0.03 0.21 Step 804 of 2112 0.70 128 0.03 0.21 Step 812 of 2112 0.71 128 0.02 0.20 Step 820 of 2112 0.71 128 0.02 0.21 Step 828 of 2112 0.71 128 0.03 0.20 Step 836 of 2112 0.71 128 0.03 0.21 Step 844 of 2112 0.71 128 0.03 0.20 Step 852 of 2112 0.71 128 0.03 0.20 Step 860 of 2112 0.71 128 0.04 0.20 Step 868 of 2112 0.71 128 0.03 0.18 Step 876 of 2112 0.72 128 0.03 0.21 Step 884 of 2112 0.72 128 0.03 0.21 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.02 0.21 Step 908 of 2112 0.72 128 0.03 0.21 Step 916 of 2112 0.72 128 0.02 0.21 Step 924 of 2112 0.72 128 0.03 0.24 Step 932 of 2112 0.72 128 0.04 0.22 Step 940 of 2112 0.73 128 0.03 0.21 Step 948 of 2112 0.73 128 0.02 0.21 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.02 0.21 Step 972 of 2112 0.73 128 0.03 0.21 Step 980 of 2112 0.73 160 0.03 0.33 Step 988 of 2112 0.73 160 0.03 0.32 Step 996 of 2112 0.74 160 0.03 0.32 Step 1004 of 2112 0.74 160 0.03 0.33 Step 1012 of 2112 0.74 160 0.03 0.32 Step 1020 of 2112 0.74 160 0.03 0.33 Step 1028 of 2112 0.74 160 0.03 0.34 Step 1036 of 2112 0.74 160 0.03 0.34 Step 1044 of 2112 0.74 160 0.04 0.33 Step 1052 of 2112 0.75 160 0.04 0.33 Step 1060 of 2112 0.75 160 0.03 0.33 Step 1068 of 2112 0.75 160 0.04 0.33 Step 1076 of 2112 0.75 160 0.04 0.32 Step 1084 of 2112 0.75 160 0.04 0.33 Step 1092 of 2112 0.75 160 0.04 0.34 Step 1100 of 2112 0.75 160 0.04 0.33 Step 1108 of 2112 0.75 160 0.04 0.33 Step 1116 of 2112 0.76 160 0.03 0.34 Step 1124 of 2112 0.76 160 0.03 0.32 Step 1132 of 2112 0.76 160 0.03 0.32 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.03 0.33 Step 1156 of 2112 0.76 160 0.03 0.33 Step 1164 of 2112 0.76 160 0.03 0.34 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.32 Step 1188 of 2112 0.77 160 0.03 0.32 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.03 0.34 Step 1212 of 2112 0.77 160 0.03 0.33 Step 1220 of 2112 0.77 160 0.03 0.34 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.03 0.33 Step 1252 of 2112 0.78 160 0.03 0.33 Step 1260 of 2112 0.78 160 0.03 0.33 Step 1268 of 2112 0.78 160 0.03 0.34 Step 1276 of 2112 0.78 160 0.02 0.32 Step 1284 of 2112 0.78 160 0.02 0.32 Step 1292 of 2112 0.79 160 0.02 0.32 Step 1300 of 2112 0.79 160 0.02 0.33 Step 1308 of 2112 0.79 160 0.02 0.33 Step 1316 of 2112 0.79 160 0.02 0.34 Step 1324 of 2112 0.79 160 0.02 0.34 Step 1332 of 2112 0.79 160 0.03 0.32 Step 1340 of 2112 0.79 160 0.03 0.32 Step 1348 of 2112 0.80 160 0.03 0.32 Step 1356 of 2112 0.80 160 0.03 0.32 Step 1364 of 2112 0.80 192 0.04 0.36 Step 1372 of 2112 0.80 192 0.03 0.36 Step 1380 of 2112 0.80 192 0.03 0.35 Step 1388 of 2112 0.80 192 0.03 0.36 Step 1396 of 2112 0.80 192 0.04 0.36 Step 1404 of 2112 0.81 192 0.04 0.37 Step 1412 of 2112 0.81 192 0.04 0.38 Step 1420 of 2112 0.81 192 0.03 0.36 Step 1428 of 2112 0.81 192 0.04 0.36 Step 1436 of 2112 0.81 192 0.04 0.37 Step 1444 of 2112 0.81 192 0.04 0.36 Step 1452 of 2112 0.81 192 0.04 0.35 Step 1460 of 2112 0.82 192 0.03 0.35 Step 1468 of 2112 0.82 192 0.04 0.36 Step 1476 of 2112 0.82 192 0.03 0.36 Step 1484 of 2112 0.82 192 0.04 0.36 Step 1492 of 2112 0.82 192 0.03 0.35 Step 1500 of 2112 0.82 192 0.03 0.36 Step 1508 of 2112 0.82 192 0.04 0.37 Step 1516 of 2112 0.83 192 0.03 0.36 Step 1524 of 2112 0.83 192 0.04 0.36 Step 1532 of 2112 0.83 192 0.04 0.36 Step 1540 of 2112 0.83 192 0.03 0.35 Step 1548 of 2112 0.83 192 0.04 0.38 Step 1556 of 2112 0.83 192 0.03 0.38 Step 1564 of 2112 0.83 192 0.04 0.36 Step 1572 of 2112 0.84 192 0.04 0.36 Step 1580 of 2112 0.84 192 0.03 0.36 Step 1588 of 2112 0.84 192 0.04 0.36 Step 1596 of 2112 0.84 192 0.03 0.36 Step 1604 of 2112 0.84 192 0.04 0.37 Step 1612 of 2112 0.84 192 0.02 0.36 Step 1620 of 2112 0.84 192 0.02 0.37 Step 1628 of 2112 0.84 192 0.04 0.38 Step 1636 of 2112 0.85 192 0.04 0.37 Step 1644 of 2112 0.85 192 0.04 0.37 Step 1652 of 2112 0.85 192 0.04 0.38 Step 1660 of 2112 0.85 192 0.04 0.38 Step 1668 of 2112 0.85 192 0.04 0.37 Step 1676 of 2112 0.85 192 0.04 0.39 Step 1684 of 2112 0.85 192 0.04 0.38 Step 1692 of 2112 0.86 224 0.04 0.50 Step 1700 of 2112 0.86 224 0.05 0.48 Step 1708 of 2112 0.86 224 0.05 0.49 Step 1716 of 2112 0.86 224 0.04 0.48 Step 1724 of 2112 0.86 224 0.04 0.49 Step 1732 of 2112 0.86 224 0.04 0.48 Step 1740 of 2112 0.86 224 0.04 0.47 Step 1748 of 2112 0.87 224 0.05 0.48 Step 1756 of 2112 0.87 224 0.05 0.47 Step 1764 of 2112 0.87 224 0.04 0.46 Step 1772 of 2112 0.87 224 0.04 0.48 Step 1780 of 2112 0.87 224 0.03 0.47 Step 1788 of 2112 0.87 224 0.03 0.47 Step 1796 of 2112 0.87 224 0.03 0.47 Step 1804 of 2112 0.88 224 0.03 0.47 Step 1812 of 2112 0.88 224 0.05 0.49 Step 1820 of 2112 0.88 224 0.05 0.49 Step 1828 of 2112 0.88 224 0.05 0.49 Step 1836 of 2112 0.88 224 0.05 0.48 Step 1844 of 2112 0.88 224 0.05 0.47 Step 1852 of 2112 0.88 224 0.05 0.47 Step 1860 of 2112 0.89 224 0.04 0.48 Step 1868 of 2112 0.89 224 0.04 0.46 Step 1876 of 2112 0.89 224 0.06 0.47 Step 1884 of 2112 0.89 224 0.05 0.49 Step 1892 of 2112 0.89 224 0.05 0.47 Step 1900 of 2112 0.89 224 0.05 0.46 Step 1908 of 2112 0.89 224 0.06 0.48 Step 1916 of 2112 0.90 224 0.06 0.50 Step 1924 of 2112 0.90 224 0.05 0.48 Step 1932 of 2112 0.90 224 0.04 0.49 Step 1940 of 2112 0.90 224 0.04 0.46 Step 1948 of 2112 0.90 224 0.05 0.48 Step 1956 of 2112 0.90 224 0.04 0.52 Step 1964 of 2112 0.90 256 0.06 0.55 Step 1972 of 2112 0.91 256 0.05 0.50 Step 1980 of 2112 0.91 256 0.05 0.54 Step 1988 of 2112 0.91 256 0.05 0.49 Step 1996 of 2112 0.91 256 0.05 0.49 Step 2004 of 2112 0.91 256 0.06 0.51 Step 2012 of 2112 0.91 256 0.06 0.55 Step 2020 of 2112 0.91 256 0.05 0.54 Step 2028 of 2112 0.92 256 0.05 0.50 Step 2036 of 2112 0.92 256 0.05 0.51 Step 2044 of 2112 0.92 256 0.05 0.52 Step 2052 of 2112 0.92 256 0.05 0.50 Step 2060 of 2112 0.92 256 0.06 0.53 Step 2068 of 2112 0.92 256 0.06 0.56 Step 2076 of 2112 0.92 256 0.06 0.54 Step 2084 of 2112 0.93 256 0.05 0.50 Step 2092 of 2112 0.93 256 0.04 0.51 Step 2100 of 2112 0.93 256 0.05 0.51 Step 2108 of 2112 0.93 256 0.05 0.49 ROW NITER SIG(med) CHI^2 .0000 2 0.98 1.51 .0001 2 0.98 1.29 .0002 2 0.97 1.32 .0003 2 0.97 1.29 .0004 2 0.97 1.32 .0005 2 0.97 1.36 .0006 2 0.97 1.34 .0007 2 0.97 1.29 .0008 2 0.97 1.32 .0009 2 0.97 1.32 .0010 2 0.97 1.50 .0011 2 0.97 1.37 .0012 2 0.97 1.29 .0013 2 0.97 1.39 .0014 2 0.97 1.48 .0015 2 0.97 1.35 .0016 2 0.97 1.33 .0017 2 0.97 1.40 .0018 2 0.97 1.42 .0019 2 0.97 1.47 .0020 2 0.97 1.41 .0021 2 0.97 1.51 .0022 2 0.97 1.50 .0023 2 0.97 1.42 .0024 2 0.97 1.55 .0025 2 0.97 1.51 .0026 2 0.97 1.45 .0027 2 0.97 1.42 .0028 2 0.97 1.56 .0029 2 0.97 1.52 .0030 2 0.97 1.47 .0031 2 0.97 1.47 .0032 2 0.97 1.43 .0033 2 0.97 1.51 .0034 2 0.97 1.52 .0035 2 0.97 1.56 .0036 2 0.97 1.59 .0037 2 0.97 1.44 .0038 2 0.97 1.61 .0039 2 0.97 1.55 .0040 2 0.97 1.63 .0041 2 0.97 1.70 .0042 2 0.97 1.69 .0043 2 0.97 1.61 .0044 2 0.97 1.72 .0045 2 0.97 1.57 .0046 2 0.97 1.66 .0047 3 0.97 1.72 .0048 3 0.97 1.88 .0049 2 0.97 1.76 .0050 2 0.97 1.76 .0051 2 0.97 1.67 .0052 1 0.97 2.01 .0053 1 0.97 1.96 .0054 1 0.97 1.90 .0055 1 0.97 2.01 .0056 1 0.97 2.00 .0057 1 0.97 1.83 .0058 1 0.97 1.91 .0059 1 0.97 2.01 .0060 1 0.97 2.01 .0061 1 0.96 1.92 .0062 1 0.96 1.88 .0063 1 0.96 1.82 .0064 1 0.96 1.83 .0065 1 0.96 1.83 .0066 1 0.96 1.82 .0067 1 0.96 1.78 .0068 1 0.96 2.04 .0069 1 0.96 1.89 .0070 2 0.96 1.85 .0071 3 0.96 1.82 .0072 1 0.96 1.93 .0073 1 0.96 1.84 .0074 1 0.96 1.86 .0075 1 0.96 1.84 .0076 1 0.96 2.00 .0077 1 0.96 1.91 .0078 1 0.96 1.79 .0079 1 0.96 1.84 .0080 1 0.96 1.90 .0081 1 0.96 1.86 .0082 1 0.96 1.88 .0083 1 0.96 1.80 .0084 1 0.96 1.84 .0085 1 0.96 1.84 .0086 1 0.96 1.95 .0087 1 0.96 1.90 .0088 1 0.96 1.82 .0089 1 0.96 1.92 .0090 1 0.96 1.83 .0091 3 0.96 1.88 .0092 2 0.96 2.10 .0093 1 0.96 1.78 .0094 1 0.96 1.89 .0095 2 0.96 1.92 .0096 2 0.96 1.70 .0097 1 0.96 1.98 .0098 1 0.96 1.73 .0099 1 0.96 1.85 .0100 2 0.96 1.90 .0101 4 0.96 1.77 .0102 1 0.96 2.40 .0103 1 0.96 1.90 .0104 1 0.96 1.81 .0105 1 0.96 1.85 .0106 1 0.96 1.81 .0107 1 0.96 1.83 .0108 1 0.96 1.72 .0109 1 0.96 1.86 .0110 1 0.96 2.00 .0111 1 0.96 1.94 .0112 1 0.96 1.72 .0113 1 0.96 1.78 .0114 1 0.96 1.76 .0115 1 0.96 1.81 .0116 1 0.96 1.73 .0117 1 0.96 1.68 .0118 1 0.96 1.79 .0119 1 0.96 2.23 .0120 1 0.96 1.86 .0121 1 0.96 1.94 .0122 1 0.96 1.66 .0123 1 0.96 1.81 .0124 1 0.96 1.84 .0125 1 0.96 1.78 .0126 1 0.96 1.87 .0127 1 0.96 1.83 .0128 1 0.96 1.79 .0129 1 0.95 1.81 .0130 1 0.95 1.74 .0131 1 0.95 1.83 .0132 1 0.95 1.83 .0133 1 0.95 1.71 .0134 1 0.95 1.72 .0135 1 0.95 1.69 .0136 1 0.95 1.79 .0137 1 0.95 1.65 .0138 1 0.95 1.73 .0139 1 0.95 1.75 .0140 3 0.95 1.72 .0141 1 0.95 1.73 .0142 1 0.95 1.73 .0143 1 0.95 1.74 .0144 1 0.95 1.68 .0145 1 0.95 1.65 .0146 1 0.95 1.66 .0147 1 0.95 1.76 .0148 1 0.95 1.66 .0149 1 0.95 1.60 .0150 1 0.95 1.81 .0151 1 0.95 1.67 .0152 1 0.95 1.76 .0153 1 0.95 1.63 .0154 1 0.95 1.67 .0155 1 0.95 1.82 .0156 1 0.95 1.75 .0157 1 0.95 1.67 .0158 1 0.95 1.79 .0159 1 0.95 1.65 .0160 1 0.95 1.71 .0161 1 0.95 1.58 .0162 1 0.95 1.73 .0163 2 0.95 1.61 .0164 1 0.95 1.67 .0165 1 0.95 1.78 .0166 1 0.95 1.75 .0167 2 0.95 1.68 .0168 2 0.95 1.74 .0169 2 0.95 1.92 .0170 2 0.95 1.79 .0171 1 0.95 1.61 .0172 1 0.95 1.75 .0173 1 0.95 1.74 .0174 1 0.95 1.73 .0175 1 0.95 1.73 .0176 1 0.95 1.64 .0177 1 0.95 1.66 .0178 1 0.95 1.71 .0179 1 0.95 1.80 .0180 1 0.95 1.78 .0181 1 0.95 1.72 .0182 1 0.95 1.76 .0183 1 0.95 1.66 .0184 1 0.95 1.84 .0185 1 0.95 1.73 .0186 1 0.95 1.97 .0187 1 0.95 1.89 .0188 1 0.95 1.86 .0189 1 0.95 1.80 .0190 1 0.95 1.69 .0191 1 0.95 1.81 .0192 2 0.95 1.81 .0193 1 0.95 1.83 .0194 1 0.95 1.79 .0195 1 0.95 1.76 .0196 1 0.95 1.76 .0197 1 0.95 1.93 .0198 1 0.95 1.90 .0199 2 0.95 1.97 .0200 1 0.95 1.82 .0201 1 0.95 1.89 .0202 1 0.95 1.88 .0203 1 0.95 1.96 .0204 1 0.95 1.92 .0205 1 0.95 2.21 .0206 1 0.95 1.94 .0207 1 0.95 1.95 .0208 1 0.95 1.85 .0209 1 0.94 2.03 .0210 1 0.94 2.03 .0211 1 0.94 2.01 .0212 1 0.94 1.95 .0213 1 0.94 2.14 .0214 1 0.94 2.15 .0215 1 0.94 2.02 .0216 1 0.94 1.95 .0217 1 0.94 2.06 .0218 1 0.94 2.21 .0219 1 0.94 2.12 .0220 1 0.94 2.14 .0221 1 0.94 2.33 .0222 1 0.94 2.37 .0223 1 0.94 2.19 .0224 1 0.94 2.14 .0225 1 0.94 2.12 .0226 1 0.94 2.33 .0227 1 0.94 2.35 .0228 1 0.94 2.27 .0229 1 0.94 2.41 .0230 1 0.94 2.35 .0231 1 0.94 2.20 .0232 2 0.94 2.20 .0233 1 0.94 2.16 .0234 1 0.94 2.24 .0235 1 0.94 2.05 .0236 1 0.94 2.15 .0237 1 0.94 2.14 .0238 1 0.94 2.08 .0239 1 0.94 2.17 .0240 1 0.94 2.24 .0241 1 0.94 2.10 .0242 1 0.94 2.14 .0243 1 0.94 2.17 .0244 1 0.94 2.06 .0245 1 0.94 2.10 .0246 1 0.94 2.20 .0247 1 0.94 2.26 .0248 1 0.94 2.10 .0249 1 0.94 2.17 .0250 1 0.94 2.22 .0251 1 0.94 2.09 .0252 1 0.94 2.14 .0253 1 0.94 2.17 .0254 1 0.94 2.03 .0255 1 0.94 2.07 .0256 1 0.94 1.98 .0257 1 0.94 2.06 .0258 1 0.94 2.21 .0259 1 0.94 2.03 .0260 3 0.94 2.03 .0261 1 0.94 2.04 .0262 1 0.94 1.90 .0263 1 0.94 2.05 .0264 1 0.94 1.93 .0265 1 0.94 1.95 .0266 1 0.94 1.90 .0267 1 0.94 2.03 .0268 1 0.94 1.96 .0269 1 0.94 2.04 .0270 1 0.94 1.99 .0271 1 0.94 1.96 .0272 1 0.94 1.99 .0273 1 0.94 1.90 .0274 1 0.94 1.78 .0275 3 0.94 2.33 .0276 4 0.94 2.09 .0277 1 0.94 1.91 .0278 1 0.94 1.84 .0279 1 0.94 1.91 .0280 1 0.94 1.94 .0281 1 0.94 2.04 .0282 1 0.94 1.95 .0283 1 0.94 1.89 .0284 1 0.94 2.01 .0285 1 0.94 1.89 .0286 1 0.94 1.83 .0287 1 0.94 1.96 .0288 1 0.94 1.98 .0289 1 0.94 2.02 .0290 1 0.94 1.87 .0291 1 0.94 1.85 .0292 1 0.94 1.76 .0293 1 0.94 1.80 .0294 1 0.94 1.81 .0295 1 0.94 2.28 .0296 1 0.94 1.86 .0297 1 0.94 1.77 .0298 1 0.94 1.76 .0299 1 0.94 1.77 .0300 1 0.94 1.90 .0301 2 0.94 1.78 .0302 2 0.94 1.88 .0303 2 0.94 2.01 .0304 2 0.94 1.71 .0305 2 0.94 1.87 .0306 2 0.94 1.90 .0307 3 0.93 2.35 .0308 2 0.93 1.91 .0309 2 0.93 1.93 .0310 1 0.93 1.87 .0311 1 0.93 1.87 .0312 1 0.93 1.89 .0313 1 0.93 1.90 .0314 1 0.93 1.85 .0315 2 0.93 1.90 .0316 1 0.93 1.94 .0317 1 0.93 1.82 .0318 2 0.93 2.03 .0319 2 0.93 1.95 .0320 1 0.93 1.84 .0321 1 0.93 1.83 .0322 1 0.93 1.88 .0323 1 0.93 1.95 .0324 1 0.93 1.97 .0325 1 0.93 1.96 .0326 1 0.93 1.92 .0327 1 0.93 1.90 .0328 1 0.93 1.95 .0329 1 0.93 1.84 .0330 1 0.93 1.89 .0331 1 0.93 1.89 .0332 1 0.93 1.94 .0333 1 0.93 1.92 .0334 1 0.93 1.89 .0335 1 0.93 1.90 .0336 1 0.93 1.87 .0337 1 0.93 1.88 .0338 1 0.93 1.94 .0339 1 0.93 1.95 .0340 1 0.93 1.88 .0341 1 0.93 1.89 .0342 2 0.93 1.96 .0343 1 0.93 1.93 .0344 1 0.93 2.03 .0345 1 0.93 1.83 .0346 1 0.93 1.96 .0347 1 0.93 1.90 .0348 1 0.93 1.95 .0349 1 0.93 1.88 .0350 1 0.93 1.89 .0351 1 0.93 1.86 .0352 1 0.93 1.85 .0353 1 0.93 1.84 .0354 1 0.93 1.88 .0355 1 0.93 1.95 .0356 1 0.93 1.78 .0357 1 0.93 1.81 .0358 1 0.93 2.26 .0359 1 0.93 1.81 .0360 1 0.93 1.90 .0361 1 0.93 2.19 .0362 1 0.93 1.86 .0363 1 0.93 1.87 .0364 1 0.93 1.86 .0365 1 0.93 1.77 .0366 1 0.93 1.87 .0367 3 0.93 1.87 .0368 3 0.93 1.86 .0369 3 0.93 1.78 .0370 2 0.93 1.89 .0371 2 0.93 1.89 .0372 2 0.93 1.86 .0373 2 0.93 1.77 .0374 2 0.93 1.78 .0375 2 0.93 1.85 .0376 2 0.93 1.91 .0377 2 0.93 1.78 .0378 2 0.93 1.89 .0379 2 0.93 1.84 .0380 2 0.93 1.79 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0.92 3.08 .1658 1 0.92 2.95 .1659 1 0.92 3.16 .1660 1 0.92 3.14 .1661 1 0.92 3.11 .1662 1 0.92 2.98 .1663 1 0.92 3.10 .1664 1 0.92 3.20 .1665 1 0.92 3.04 .1666 1 0.92 3.10 .1667 1 0.92 3.01 .1668 1 0.92 3.23 .1669 1 0.92 3.11 .1670 1 0.92 3.18 .1671 1 0.92 2.87 .1672 1 0.92 3.04 .1673 1 0.92 3.00 .1674 1 0.92 3.13 .1675 1 0.92 2.86 .1676 1 0.92 3.01 .1677 1 0.92 2.96 .1678 1 0.92 2.98 .1679 1 0.92 2.94 .1680 1 0.92 2.99 .1681 1 0.92 2.99 .1682 1 0.92 3.05 .1683 1 0.92 3.07 .1684 1 0.92 3.03 .1685 1 0.92 3.36 .1686 1 0.92 3.40 .1687 1 0.92 2.96 .1688 1 0.92 3.16 .1689 1 0.92 3.14 .1690 1 0.92 3.19 .1691 1 0.92 3.31 .1692 1 0.92 3.24 .1693 1 0.92 3.73 .1694 1 0.92 3.14 .1695 1 0.92 3.09 .1696 1 0.92 3.21 .1697 1 0.92 3.19 .1698 1 0.92 3.17 .1699 1 0.92 3.20 .1700 1 0.92 3.13 .1701 1 0.92 3.04 .1702 1 0.92 3.00 .1703 1 0.92 3.07 .1704 1 0.92 3.23 .1705 1 0.92 3.01 .1706 1 0.92 2.99 .1707 1 0.92 2.95 .1708 1 0.92 3.11 .1709 1 0.92 3.05 .1710 1 0.92 2.98 .1711 2 0.92 3.04 .1712 1 0.92 3.06 .1713 1 0.92 3.21 .1714 1 0.92 3.09 .1715 1 0.92 3.32 .1716 1 0.92 3.02 .1717 1 0.92 2.95 .1718 2 0.92 3.03 .1719 1 0.92 3.38 .1720 1 0.92 2.99 .1721 1 0.92 3.19 .1722 2 0.92 2.97 .1723 1 0.92 2.91 .1724 1 0.92 3.06 .1725 1 0.92 2.87 .1726 1 0.92 3.07 .1727 1 0.92 3.26 .1728 1 0.92 2.96 .1729 1 0.92 2.89 .1730 1 0.92 3.21 .1731 1 0.92 2.98 .1732 1 0.92 2.94 .1733 1 0.92 3.18 .1734 1 0.92 3.03 .1735 1 0.92 3.05 .1736 1 0.92 3.05 .1737 1 0.92 3.10 .1738 2 0.92 3.51 .1739 1 0.92 4.00 .1740 1 0.92 3.28 .1741 1 0.92 3.14 .1742 1 0.92 3.04 .1743 1 0.92 3.23 .1744 1 0.92 3.34 .1745 1 0.92 2.96 .1746 1 0.92 2.86 .1747 1 0.92 3.03 .1748 1 0.92 3.07 .1749 1 0.92 2.96 .1750 1 0.92 2.94 .1751 1 0.92 2.92 .1752 1 0.92 2.88 .1753 2 0.92 3.11 .1754 1 0.92 3.58 .1755 1 0.92 3.07 .1756 1 0.92 3.07 .1757 1 0.92 3.08 .1758 1 0.92 2.97 .1759 1 0.92 2.97 .1760 1 0.92 3.25 .1761 1 0.92 2.90 .1762 1 0.92 3.01 .1763 1 0.92 2.97 .1764 2 0.92 2.91 .1765 2 0.92 2.93 .1766 1 0.92 2.98 .1767 1 0.92 2.90 .1768 1 0.92 2.85 .1769 2 0.92 2.87 .1770 1 0.92 3.02 .1771 1 0.92 3.04 .1772 1 0.92 2.91 .1773 1 0.92 3.01 .1774 1 0.92 3.04 .1775 1 0.92 3.04 .1776 1 0.92 2.77 .1777 1 0.92 3.23 .1778 1 0.92 3.41 .1779 2 0.92 3.19 .1780 2 0.92 2.91 .1781 2 0.92 3.12 .1782 1 0.92 2.91 .1783 1 0.92 2.89 .1784 1 0.92 2.95 .1785 1 0.92 3.04 .1786 1 0.92 2.98 .1787 1 0.92 3.04 .1788 1 0.92 3.16 .1789 1 0.92 2.96 .1790 1 0.92 2.93 .1791 1 0.92 3.06 .1792 1 0.92 2.94 .1793 1 0.92 2.85 .1794 1 0.92 2.94 .1795 1 0.92 2.90 .1796 1 0.92 2.92 .1797 1 0.92 2.98 .1798 1 0.92 2.91 .1799 1 0.92 2.80 .1800 1 0.92 2.78 .1801 1 0.92 2.87 .1802 1 0.92 2.91 .1803 1 0.92 2.95 .1804 1 0.91 2.74 .1805 2 0.91 3.22 .1806 1 0.91 3.04 .1807 1 0.91 2.94 .1808 2 0.91 3.12 .1809 1 0.91 3.03 .1810 1 0.91 2.75 .1811 1 0.91 2.87 .1812 1 0.91 2.84 .1813 1 0.91 2.82 .1814 1 0.91 3.01 .1815 1 0.91 2.87 .1816 1 0.91 3.00 .1817 1 0.91 2.87 .1818 1 0.91 3.13 .1819 1 0.91 2.95 .1820 1 0.91 2.91 .1821 1 0.91 3.06 .1822 1 0.91 3.00 .1823 1 0.91 3.10 .1824 1 0.91 2.93 .1825 1 0.91 3.13 .1826 1 0.91 3.13 .1827 1 0.91 3.07 .1828 1 0.91 3.02 .1829 1 0.91 2.94 .1830 1 0.91 2.96 .1831 1 0.91 2.89 .1832 1 0.91 3.08 .1833 1 0.91 2.87 .1834 1 0.91 2.99 .1835 1 0.91 3.02 .1836 1 0.91 3.07 .1837 1 0.91 3.10 .1838 1 0.91 2.93 .1839 1 0.91 2.92 .1840 1 0.91 2.93 .1841 1 0.91 2.79 .1842 1 0.91 2.91 .1843 1 0.91 2.80 .1844 1 0.91 2.96 .1845 1 0.91 2.91 .1846 1 0.91 2.92 .1847 2 0.91 2.99 .1848 1 0.91 2.86 .1849 1 0.91 2.93 .1850 1 0.91 2.86 .1851 1 0.91 2.92 .1852 1 0.91 2.78 .1853 1 0.91 2.96 .1854 1 0.91 2.82 .1855 1 0.91 2.98 .1856 1 0.91 3.10 .1857 1 0.91 2.76 .1858 1 0.91 3.02 .1859 1 0.91 3.02 .1860 1 0.91 2.97 .1861 1 0.91 3.13 .1862 1 0.91 3.19 .1863 2 0.91 3.11 .1864 2 0.91 3.16 .1865 1 0.91 3.08 .1866 1 0.91 3.07 .1867 1 0.91 3.09 .1868 1 0.91 3.05 .1869 1 0.91 3.18 .1870 1 0.91 3.04 .1871 1 0.91 3.15 .1872 1 0.91 2.97 .1873 1 0.91 2.94 .1874 1 0.91 3.51 .1875 1 0.91 3.14 .1876 1 0.91 3.30 .1877 1 0.91 3.20 .1878 1 0.91 3.28 .1879 1 0.91 3.02 .1880 1 0.91 2.99 .1881 1 0.91 2.91 .1882 1 0.91 2.89 .1883 1 0.91 2.96 .1884 1 0.91 2.97 .1885 1 0.91 2.92 .1886 1 0.91 2.90 .1887 1 0.91 3.05 .1888 1 0.91 3.16 .1889 1 0.91 2.97 .1890 1 0.91 2.91 .1891 1 0.91 2.97 .1892 1 0.91 2.89 .1893 1 0.91 2.94 .1894 1 0.91 3.11 .1895 1 0.91 3.04 .1896 1 0.91 2.95 .1897 1 0.91 3.21 .1898 1 0.91 3.00 .1899 1 0.91 3.10 .1900 1 0.91 2.99 .1901 1 0.91 3.15 .1902 1 0.91 3.05 .1903 1 0.91 3.11 .1904 1 0.91 3.21 .1905 1 0.91 3.30 .1906 1 0.91 3.35 .1907 1 0.91 3.27 .1908 2 0.91 3.43 .1909 1 0.91 3.41 .1910 1 0.91 3.29 .1911 1 0.91 3.19 .1912 1 0.91 3.03 .1913 1 0.91 2.86 .1914 1 0.91 2.98 .1915 1 0.91 2.94 .1916 1 0.91 2.95 .1917 1 0.91 3.06 .1918 1 0.91 2.95 .1919 1 0.91 3.01 .1920 1 0.91 2.90 .1921 1 0.91 3.12 .1922 1 0.91 3.12 .1923 1 0.91 3.07 .1924 1 0.91 2.98 .1925 1 0.91 2.92 .1926 1 0.91 2.96 .1927 1 0.91 3.15 .1928 1 0.91 2.87 .1929 1 0.91 3.09 .1930 1 0.91 3.02 .1931 1 0.91 2.95 .1932 1 0.91 3.07 .1933 1 0.91 3.11 .1934 1 0.91 3.03 .1935 1 0.91 2.99 .1936 1 0.91 2.99 .1937 2 0.91 4.16 .1938 1 0.91 3.46 .1939 1 0.91 3.05 .1940 1 0.91 3.19 .1941 1 0.91 3.20 .1942 1 0.91 3.20 .1943 1 0.91 3.12 .1944 1 0.91 3.20 .1945 1 0.91 2.90 .1946 1 0.91 2.97 .1947 1 0.91 3.27 .1948 1 0.91 3.17 .1949 1 0.91 3.35 .1950 1 0.91 3.05 .1951 1 0.91 2.86 .1952 2 0.91 3.10 .1953 3 0.91 3.01 .1954 1 0.91 3.11 .1955 1 0.91 3.07 .1956 1 0.91 3.04 .1957 1 0.91 3.15 .1958 1 0.91 2.90 .1959 1 0.91 2.99 .1960 1 0.91 3.02 .1961 1 0.91 3.01 .1962 1 0.91 3.01 .1963 1 0.91 2.87 .1964 1 0.91 3.02 .1965 1 0.91 2.96 .1966 1 0.91 2.78 .1967 1 0.91 3.06 .1968 1 0.91 2.91 .1969 1 0.91 3.01 .1970 1 0.91 3.05 .1971 1 0.91 3.14 .1972 1 0.91 2.92 .1973 1 0.91 2.97 .1974 1 0.91 2.90 .1975 1 0.91 3.07 .1976 1 0.91 3.03 .1977 1 0.91 3.39 .1978 1 0.91 3.04 .1979 1 0.91 3.14 .1980 1 0.91 2.95 .1981 1 0.91 3.05 .1982 1 0.91 2.90 .1983 2 0.91 3.01 .1984 1 0.91 3.10 .1985 1 0.91 3.10 .1986 1 0.91 3.16 .1987 1 0.91 3.07 .1988 1 0.91 3.08 .1989 1 0.91 3.05 .1990 1 0.91 3.13 .1991 1 0.91 3.15 .1992 1 0.91 2.96 .1993 1 0.91 3.02 .1994 1 0.91 3.03 .1995 1 0.91 2.97 .1996 1 0.91 2.97 .1997 1 0.91 2.94 .1998 1 0.91 2.95 .1999 1 0.91 3.15 .2000 1 0.91 2.93 .2001 1 0.91 3.06 .2002 1 0.91 3.43 .2003 2 0.91 2.91 .2004 1 0.91 2.94 .2005 1 0.91 3.03 .2006 1 0.91 3.07 .2007 1 0.91 2.81 .2008 1 0.91 2.89 .2009 1 0.91 2.98 .2010 1 0.91 3.04 .2011 1 0.91 3.10 .2012 1 0.91 2.94 .2013 1 0.91 3.19 .2014 2 0.91 3.23 .2015 1 0.91 3.03 .2016 1 0.91 2.90 .2017 1 0.91 2.74 .2018 1 0.91 2.89 .2019 1 0.91 2.92 .2020 1 0.91 2.89 .2021 1 0.91 2.94 .2022 1 0.91 2.98 .2023 1 0.91 2.99 .2024 1 0.91 3.06 .2025 1 0.91 3.13 .2026 1 0.91 2.97 .2027 1 0.91 3.18 .2028 1 0.91 3.11 .2029 1 0.91 3.01 .2030 1 0.91 3.06 .2031 1 0.91 3.03 .2032 1 0.91 2.85 .2033 1 0.91 3.07 .2034 1 0.91 3.12 .2035 1 0.91 3.12 .2036 1 0.91 2.97 .2037 1 0.91 2.80 .2038 1 0.91 2.69 .2039 1 0.91 2.95 .2040 1 0.91 2.79 .2041 1 0.91 3.00 .2042 1 0.91 3.04 .2043 1 0.91 3.05 .2044 1 0.91 3.03 .2045 1 0.91 3.20 .2046 1 0.91 3.50 .2047 1 0.91 3.04 EXTRACT_IMAGE: r1: masked 358 pixels SPCALIB: r1: First extraction chi^2 1.31805 6.50185 SPCALIB: r1: Second extraction chi^2 1.28686 4.15664 SUPERFLAT: r1: Creating superflat from 304 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179Lowest breakpoint does not cover lowest x value: changing .0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r1: Number of fiberflat points LE 0 = 10864 SPCALIB: r1: Create fiberflats for flat # 2 of 2 SPCALIB: r1: Flat sdR-r1-00034676.fit paired with arc sdR-r1-00034677.fit SPCALIB: r1: Reading flat sdR-r1-00034676.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.95557 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1184.40 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1164. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.68300 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1234.18 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1214. DN is 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 2 0.98 1.72 .0001 2 0.98 1.42 .0002 2 0.98 1.38 .0003 2 0.98 1.45 .0004 2 0.98 1.39 .0005 2 0.98 1.34 .0006 2 0.98 1.36 .0007 2 0.98 1.41 .0008 2 0.98 1.56 .0009 2 0.98 1.50 .0010 2 0.98 1.44 .0011 2 0.98 1.40 .0012 2 0.98 1.43 .0013 2 0.98 1.48 .0014 2 0.98 1.55 .0015 2 0.98 1.48 .0016 2 0.98 1.49 .0017 2 0.98 1.47 .0018 2 0.98 1.48 .0019 2 0.98 1.54 .0020 2 0.98 1.48 .0021 2 0.98 1.47 .0022 2 0.98 1.51 .0023 2 0.98 1.59 .0024 2 0.98 1.53 .0025 2 0.98 1.46 .0026 2 0.98 1.66 .0027 3 0.98 1.64 .0028 2 0.98 1.56 .0029 2 0.98 1.58 .0030 2 0.98 1.62 .0031 2 0.98 1.60 .0032 2 0.98 1.65 .0033 2 0.98 1.62 .0034 2 0.97 1.71 .0035 2 0.97 1.65 .0036 2 0.97 1.58 .0037 2 0.97 1.67 .0038 2 0.97 1.59 .0039 2 0.97 1.82 .0040 2 0.97 1.76 .0041 2 0.97 1.76 .0042 2 0.97 2.00 .0043 2 0.97 1.79 .0044 2 0.97 1.78 .0045 2 0.97 1.74 .0046 2 0.97 1.75 .0047 1 0.97 1.96 .0048 1 0.97 2.24 .0049 1 0.97 2.07 .0050 1 0.97 2.03 .0051 1 0.97 2.11 .0052 1 0.97 2.62 .0053 1 0.97 2.04 .0054 1 0.97 2.07 .0055 1 0.97 2.00 .0056 1 0.97 2.02 .0057 1 0.97 2.05 .0058 1 0.97 1.92 .0059 1 0.97 2.00 .0060 1 0.97 2.01 .0061 1 0.97 2.04 .0062 1 0.97 2.06 .0063 1 0.97 1.92 .0064 1 0.97 2.00 .0065 1 0.97 1.90 .0066 1 0.97 1.97 .0067 1 0.97 2.01 .0068 1 0.97 2.14 .0069 2 0.97 2.18 .0070 1 0.97 2.01 .0071 1 0.97 1.90 .0072 1 0.97 1.96 .0073 1 0.97 2.06 .0074 2 0.97 2.00 .0075 1 0.97 2.09 .0076 1 0.97 2.04 .0077 1 0.97 2.04 .0078 1 0.97 2.08 .0079 1 0.97 1.98 .0080 1 0.97 2.00 .0081 1 0.97 2.05 .0082 1 0.97 2.11 .0083 3 0.97 2.02 .0084 2 0.97 2.15 .0085 1 0.97 1.97 .0086 1 0.97 2.08 .0087 1 0.97 2.08 .0088 2 0.97 2.06 .0089 1 0.97 2.05 .0090 2 0.97 2.07 .0091 1 0.97 1.94 .0092 1 0.97 1.99 .0093 1 0.97 2.08 .0094 1 0.97 2.08 .0095 1 0.96 1.98 .0096 1 0.96 1.84 .0097 1 0.96 2.26 .0098 1 0.96 1.91 .0099 1 0.96 1.95 .0100 1 0.96 2.03 .0101 1 0.96 1.87 .0102 1 0.96 1.88 .0103 1 0.96 1.92 .0104 2 0.96 1.92 .0105 1 0.96 1.94 .0106 1 0.96 1.92 .0107 1 0.96 1.83 .0108 1 0.96 1.94 .0109 3 0.96 1.90 .0110 1 0.96 2.04 .0111 1 0.96 1.91 .0112 1 0.96 2.07 .0113 1 0.96 1.92 .0114 2 0.96 1.92 .0115 1 0.96 1.88 .0116 1 0.96 1.97 .0117 1 0.96 1.90 .0118 1 0.96 2.12 .0119 1 0.96 1.81 .0120 1 0.96 1.92 .0121 1 0.96 1.94 .0122 1 0.96 2.00 .0123 1 0.96 1.94 .0124 1 0.96 1.89 .0125 1 0.96 2.01 .0126 1 0.96 2.03 .0127 1 0.96 1.99 .0128 1 0.96 1.90 .0129 1 0.96 1.99 .0130 1 0.96 1.92 .0131 1 0.96 2.00 .0132 1 0.96 2.00 .0133 1 0.96 1.96 .0134 1 0.96 2.00 .0135 1 0.96 1.88 .0136 1 0.96 2.01 .0137 1 0.96 1.88 .0138 1 0.96 1.93 .0139 1 0.96 1.91 .0140 1 0.96 1.94 .0141 1 0.96 1.88 .0142 1 0.96 1.83 .0143 1 0.96 1.97 .0144 1 0.96 1.73 .0145 1 0.96 1.85 .0146 1 0.96 1.96 .0147 1 0.96 1.90 .0148 1 0.96 1.96 .0149 1 0.96 1.90 .0150 1 0.96 1.96 .0151 1 0.96 1.86 .0152 2 0.96 1.89 .0153 1 0.96 1.84 .0154 1 0.96 1.89 .0155 1 0.96 1.90 .0156 1 0.96 1.91 .0157 1 0.96 2.28 .0158 2 0.96 1.97 .0159 1 0.96 1.83 .0160 1 0.96 1.86 .0161 1 0.96 1.83 .0162 1 0.96 1.98 .0163 2 0.96 1.87 .0164 1 0.96 1.76 .0165 1 0.95 1.80 .0166 1 0.95 2.02 .0167 1 0.95 1.80 .0168 1 0.95 1.94 .0169 1 0.95 1.86 .0170 1 0.95 1.89 .0171 1 0.95 1.88 .0172 1 0.95 1.85 .0173 1 0.95 1.83 .0174 2 0.95 1.97 .0175 1 0.95 2.03 .0176 1 0.95 1.83 .0177 1 0.95 1.88 .0178 2 0.95 1.95 .0179 1 0.95 1.93 .0180 1 0.95 1.92 .0181 1 0.95 1.94 .0182 1 0.95 2.19 .0183 1 0.95 1.91 .0184 1 0.95 2.10 .0185 1 0.95 2.00 .0186 1 0.95 1.97 .0187 1 0.95 2.00 .0188 1 0.95 2.00 .0189 1 0.95 2.00 .0190 1 0.95 1.99 .0191 1 0.95 2.05 .0192 1 0.95 2.11 .0193 1 0.95 2.04 .0194 1 0.95 2.05 .0195 1 0.95 2.09 .0196 1 0.95 2.09 .0197 1 0.95 2.11 .0198 1 0.95 2.07 .0199 1 0.95 2.14 .0200 2 0.95 2.07 .0201 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5.10 .1922 1 0.91 5.20 .1923 1 0.91 5.19 .1924 1 0.91 5.13 .1925 1 0.91 5.47 .1926 1 0.91 5.25 .1927 1 0.91 5.16 .1928 1 0.91 5.13 .1929 1 0.91 5.11 .1930 1 0.91 4.90 .1931 1 0.91 5.06 .1932 1 0.91 5.05 .1933 1 0.91 5.05 .1934 1 0.91 4.88 .1935 1 0.91 5.02 .1936 1 0.91 5.14 .1937 1 0.91 4.99 .1938 1 0.91 4.98 .1939 1 0.91 4.84 .1940 1 0.91 4.93 .1941 2 0.91 5.17 .1942 1 0.91 5.37 .1943 1 0.91 5.20 .1944 1 0.91 5.40 .1945 1 0.91 4.98 .1946 1 0.91 5.39 .1947 1 0.91 5.19 .1948 1 0.91 5.30 .1949 1 0.91 5.01 .1950 1 0.91 4.78 .1951 1 0.91 5.28 .1952 1 0.91 5.08 .1953 1 0.91 5.04 .1954 1 0.91 5.35 .1955 1 0.91 5.17 .1956 1 0.91 5.07 .1957 1 0.91 5.07 .1958 1 0.91 5.29 .1959 1 0.91 5.26 .1960 1 0.91 5.43 .1961 1 0.91 5.17 .1962 1 0.91 5.17 .1963 1 0.91 5.12 .1964 1 0.91 5.14 .1965 1 0.91 5.12 .1966 1 0.91 5.27 .1967 1 0.91 5.04 .1968 1 0.91 5.33 .1969 1 0.91 4.87 .1970 1 0.91 5.06 .1971 1 0.91 4.85 .1972 1 0.91 5.02 .1973 1 0.91 4.87 .1974 1 0.91 5.03 .1975 1 0.91 5.10 .1976 1 0.91 4.92 .1977 1 0.91 5.19 .1978 1 0.91 4.91 .1979 1 0.91 5.15 .1980 1 0.91 4.81 .1981 1 0.91 4.92 .1982 1 0.91 5.31 .1983 1 0.91 4.91 .1984 1 0.91 4.85 .1985 1 0.91 4.97 .1986 1 0.91 4.95 .1987 1 0.91 5.20 .1988 1 0.91 5.01 .1989 1 0.91 5.06 .1990 1 0.91 5.03 .1991 1 0.91 5.22 .1992 1 0.91 5.05 .1993 1 0.91 5.12 .1994 1 0.91 5.24 .1995 1 0.91 5.17 .1996 1 0.91 4.96 .1997 1 0.91 4.99 .1998 1 0.91 5.20 .1999 1 0.91 5.04 .2000 1 0.91 5.03 .2001 1 0.91 4.98 .2002 1 0.91 5.29 .2003 1 0.91 4.74 .2004 1 0.91 4.97 .2005 2 0.91 5.33 .2006 1 0.91 4.83 .2007 1 0.91 5.00 .2008 1 0.91 4.84 .2009 1 0.91 4.84 .2010 1 0.91 4.93 .2011 1 0.91 4.74 .2012 1 0.91 4.85 .2013 1 0.91 5.03 .2014 1 0.91 4.67 .2015 1 0.91 4.96 .2016 1 0.91 4.96 .2017 1 0.91 4.75 .2018 1 0.91 4.94 .2019 1 0.91 4.85 .2020 1 0.91 4.83 .2021 1 0.91 4.92 .2022 1 0.91 4.64 .2023 1 0.91 5.06 .2024 1 0.91 4.79 .2025 1 0.91 4.92 .2026 1 0.91 4.98 .2027 1 0.91 4.81 .2028 1 0.91 4.85 .2029 1 0.91 5.03 .2030 1 0.91 4.89 .2031 1 0.91 5.13 .2032 1 0.91 4.77 .2033 1 0.91 4.96 .2034 1 0.91 5.27 .2035 1 0.91 5.00 .2036 1 0.91 4.81 .2037 1 0.91 4.79 .2038 1 0.91 4.78 .2039 1 0.91 4.72 .2040 1 0.91 4.68 .2041 1 0.91 4.81 .2042 1 0.91 5.06 .2043 1 0.91 4.87 .2044 1 0.91 4.67 .2045 1 0.91 4.55 .2046 1 0.91 4.72 .2047 1 0.91 4.62 EXTRACT_IMAGE: r1: masked 278 pixels DOSCATTER: r1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r1: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r1: adding rows: 64 Step 4 of 2112 0.58 96 0.01 0.15 Step 12 of 2112 0.58 96 0.01 0.15 Step 20 of 2112 0.58 96 0.02 0.16 Step 28 of 2112 0.58 96 0.02 0.15 Step 36 of 2112 0.58 96 0.02 0.14 Step 44 of 2112 0.58 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.03 0.17 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.59 96 0.02 0.14 Step 108 of 2112 0.59 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.16 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.14 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.14 Step 164 of 2112 0.60 96 0.02 0.14 Step 172 of 2112 0.60 96 0.02 0.14 Step 180 of 2112 0.60 96 0.02 0.14 Step 188 of 2112 0.61 96 0.02 0.14 Step 196 of 2112 0.61 96 0.02 0.14 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.15 Step 228 of 2112 0.61 96 0.02 0.15 Step 236 of 2112 0.61 96 0.02 0.15 Step 244 of 2112 0.61 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.02 0.14 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.62 96 0.02 0.15 Step 308 of 2112 0.62 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.14 Step 324 of 2112 0.63 96 0.02 0.14 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.14 Step 356 of 2112 0.63 96 0.02 0.14 Step 364 of 2112 0.63 96 0.02 0.15 Step 372 of 2112 0.63 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.16 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.64 96 0.02 0.14 Step 436 of 2112 0.64 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.14 Step 460 of 2112 0.65 96 0.02 0.14 Step 468 of 2112 0.65 96 0.02 0.14 Step 476 of 2112 0.65 96 0.02 0.14 Step 484 of 2112 0.65 128 0.03 0.21 Step 492 of 2112 0.65 128 0.03 0.21 Step 500 of 2112 0.65 128 0.04 0.22 Step 508 of 2112 0.66 128 0.03 0.21 Step 516 of 2112 0.66 128 0.03 0.20 Step 524 of 2112 0.66 128 0.02 0.19 Step 532 of 2112 0.66 128 0.03 0.21 Step 540 of 2112 0.66 128 0.02 0.20 Step 548 of 2112 0.66 128 0.02 0.19 Step 556 of 2112 0.66 128 0.02 0.19 Step 564 of 2112 0.66 128 0.03 0.20 Step 572 of 2112 0.67 128 0.03 0.20 Step 580 of 2112 0.67 128 0.03 0.20 Step 588 of 2112 0.67 128 0.03 0.21 Step 596 of 2112 0.67 128 0.03 0.19 Step 604 of 2112 0.67 128 0.03 0.20 Step 612 of 2112 0.67 128 0.03 0.22 Step 620 of 2112 0.67 128 0.03 0.21 Step 628 of 2112 0.68 128 0.03 0.23 Step 636 of 2112 0.68 128 0.03 0.24 Step 644 of 2112 0.68 128 0.03 0.26 Step 652 of 2112 0.68 128 0.03 0.21 Step 660 of 2112 0.68 128 0.02 0.22 Step 668 of 2112 0.68 128 0.03 0.23 Step 676 of 2112 0.68 128 0.02 0.20 Step 684 of 2112 0.68 128 0.03 0.19 Step 692 of 2112 0.69 128 0.03 0.20 Step 700 of 2112 0.69 128 0.02 0.20 Step 708 of 2112 0.69 128 0.03 0.21 Step 716 of 2112 0.69 128 0.02 0.19 Step 724 of 2112 0.69 128 0.02 0.19 Step 732 of 2112 0.69 128 0.02 0.20 Step 740 of 2112 0.69 128 0.02 0.20 Step 748 of 2112 0.69 128 0.03 0.21 Step 756 of 2112 0.70 128 0.03 0.19 Step 764 of 2112 0.70 128 0.02 0.19 Step 772 of 2112 0.70 128 0.03 0.20 Step 780 of 2112 0.70 128 0.02 0.18 Step 788 of 2112 0.70 128 0.03 0.18 Step 796 of 2112 0.70 128 0.03 0.21 Step 804 of 2112 0.70 128 0.02 0.20 Step 812 of 2112 0.71 128 0.03 0.20 Step 820 of 2112 0.71 128 0.03 0.20 Step 828 of 2112 0.71 128 0.03 0.20 Step 836 of 2112 0.71 128 0.02 0.20 Step 844 of 2112 0.71 128 0.02 0.20 Step 852 of 2112 0.71 128 0.02 0.20 Step 860 of 2112 0.71 128 0.02 0.20 Step 868 of 2112 0.71 128 0.01 0.20 Step 876 of 2112 0.72 128 0.01 0.19 Step 884 of 2112 0.72 128 0.01 0.20 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.02 0.20 Step 908 of 2112 0.72 128 0.02 0.19 Step 916 of 2112 0.72 128 0.02 0.20 Step 924 of 2112 0.72 128 0.03 0.22 Step 932 of 2112 0.72 128 0.03 0.20 Step 940 of 2112 0.73 128 0.02 0.21 Step 948 of 2112 0.73 128 0.03 0.20 Step 956 of 2112 0.73 128 0.03 0.21 Step 964 of 2112 0.73 128 0.03 0.21 Step 972 of 2112 0.73 128 0.03 0.21 Step 980 of 2112 0.73 160 0.04 0.33 Step 988 of 2112 0.73 160 0.04 0.31 Step 996 of 2112 0.74 160 0.04 0.32 Step 1004 of 2112 0.74 160 0.03 0.32 Step 1012 of 2112 0.74 160 0.04 0.35 Step 1020 of 2112 0.74 160 0.03 0.32 Step 1028 of 2112 0.74 160 0.03 0.33 Step 1036 of 2112 0.74 160 0.03 0.32 Step 1044 of 2112 0.74 160 0.03 0.32 Step 1052 of 2112 0.75 160 0.03 0.32 Step 1060 of 2112 0.75 160 0.03 0.33 Step 1068 of 2112 0.75 160 0.03 0.32 Step 1076 of 2112 0.75 160 0.03 0.33 Step 1084 of 2112 0.75 160 0.03 0.35 Step 1092 of 2112 0.75 160 0.04 0.34 Step 1100 of 2112 0.75 160 0.03 0.34 Step 1108 of 2112 0.75 160 0.03 0.34 Step 1116 of 2112 0.76 160 0.03 0.33 Step 1124 of 2112 0.76 160 0.03 0.32 Step 1132 of 2112 0.76 160 0.03 0.33 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.04 0.37 Step 1156 of 2112 0.76 160 0.03 0.32 Step 1164 of 2112 0.76 160 0.03 0.34 Step 1172 of 2112 0.77 160 0.04 0.34 Step 1180 of 2112 0.77 160 0.03 0.35 Step 1188 of 2112 0.77 160 0.03 0.34 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.04 0.34 Step 1212 of 2112 0.77 160 0.03 0.32 Step 1220 of 2112 0.77 160 0.04 0.37 Step 1228 of 2112 0.78 160 0.03 0.34 Step 1236 of 2112 0.78 160 0.03 0.34 Step 1244 of 2112 0.78 160 0.03 0.35 Step 1252 of 2112 0.78 160 0.04 0.33 Step 1260 of 2112 0.78 160 0.03 0.34 Step 1268 of 2112 0.78 160 0.03 0.34 Step 1276 of 2112 0.78 160 0.03 0.33 Step 1284 of 2112 0.78 160 0.03 0.34 Step 1292 of 2112 0.79 160 0.03 0.33 Step 1300 of 2112 0.79 160 0.03 0.34 Step 1308 of 2112 0.79 160 0.04 0.33 Step 1316 of 2112 0.79 160 0.03 0.32 Step 1324 of 2112 0.79 160 0.03 0.33 Step 1332 of 2112 0.79 160 0.03 0.32 Step 1340 of 2112 0.79 160 0.03 0.32 Step 1348 of 2112 0.80 160 0.03 0.35 Step 1356 of 2112 0.80 160 0.03 0.33 Step 1364 of 2112 0.80 192 0.04 0.39 Step 1372 of 2112 0.80 192 0.04 0.39 Step 1380 of 2112 0.80 192 0.04 0.38 Step 1388 of 2112 0.80 192 0.04 0.36 Step 1396 of 2112 0.80 192 0.05 0.40 Step 1404 of 2112 0.81 192 0.04 0.39 Step 1412 of 2112 0.81 192 0.04 0.36 Step 1420 of 2112 0.81 192 0.04 0.37 Step 1428 of 2112 0.81 192 0.04 0.37 Step 1436 of 2112 0.81 192 0.04 0.38 Step 1444 of 2112 0.81 192 0.04 0.38 Step 1452 of 2112 0.81 192 0.04 0.36 Step 1460 of 2112 0.82 192 0.03 0.38 Step 1468 of 2112 0.82 192 0.04 0.37 Step 1476 of 2112 0.82 192 0.03 0.36 Step 1484 of 2112 0.82 192 0.03 0.38 Step 1492 of 2112 0.82 192 0.04 0.37 Step 1500 of 2112 0.82 192 0.04 0.37 Step 1508 of 2112 0.82 192 0.03 0.37 Step 1516 of 2112 0.83 192 0.03 0.36 Step 1524 of 2112 0.83 192 0.03 0.37 Step 1532 of 2112 0.83 192 0.04 0.36 Step 1540 of 2112 0.83 192 0.04 0.39 Step 1548 of 2112 0.83 192 0.04 0.38 Step 1556 of 2112 0.83 192 0.04 0.37 Step 1564 of 2112 0.83 192 0.04 0.38 Step 1572 of 2112 0.84 192 0.04 0.38 Step 1580 of 2112 0.84 192 0.04 0.39 Step 1588 of 2112 0.84 192 0.04 0.39 Step 1596 of 2112 0.84 192 0.04 0.39 Step 1604 of 2112 0.84 192 0.04 0.40 Step 1612 of 2112 0.84 192 0.04 0.40 Step 1620 of 2112 0.84 192 0.04 0.39 Step 1628 of 2112 0.84 192 0.04 0.39 Step 1636 of 2112 0.85 192 0.04 0.42 Step 1644 of 2112 0.85 192 0.04 0.37 Step 1652 of 2112 0.85 192 0.05 0.37 Step 1660 of 2112 0.85 192 0.04 0.38 Step 1668 of 2112 0.85 192 0.05 0.40 Step 1676 of 2112 0.85 192 0.04 0.36 Step 1684 of 2112 0.85 192 0.04 0.40 Step 1692 of 2112 0.86 224 0.04 0.51 Step 1700 of 2112 0.86 224 0.05 0.52 Step 1708 of 2112 0.86 224 0.05 0.49 Step 1716 of 2112 0.86 224 0.05 0.54 Step 1724 of 2112 0.86 224 0.04 0.49 Step 1732 of 2112 0.86 224 0.04 0.49 Step 1740 of 2112 0.86 224 0.04 0.49 Step 1748 of 2112 0.87 224 0.04 0.50 Step 1756 of 2112 0.87 224 0.04 0.47 Step 1764 of 2112 0.87 224 0.04 0.47 Step 1772 of 2112 0.87 224 0.04 0.48 Step 1780 of 2112 0.87 224 0.05 0.50 Step 1788 of 2112 0.87 224 0.05 0.50 Step 1796 of 2112 0.87 224 0.04 0.52 Step 1804 of 2112 0.88 224 0.04 0.47 Step 1812 of 2112 0.88 224 0.05 0.50 Step 1820 of 2112 0.88 224 0.05 0.49 Step 1828 of 2112 0.88 224 0.05 0.50 Step 1836 of 2112 0.88 224 0.05 0.52 Step 1844 of 2112 0.88 224 0.03 0.54 Step 1852 of 2112 0.88 224 0.03 0.51 Step 1860 of 2112 0.89 224 0.04 0.50 Step 1868 of 2112 0.89 224 0.04 0.49 Step 1876 of 2112 0.89 224 0.03 0.50 Step 1884 of 2112 0.89 224 0.04 0.50 Step 1892 of 2112 0.89 224 0.04 0.52 Step 1900 of 2112 0.89 224 0.04 0.47 Step 1908 of 2112 0.89 224 0.05 0.53 Step 1916 of 2112 0.90 224 0.05 0.59 Step 1924 of 2112 0.90 224 0.05 0.50 Step 1932 of 2112 0.90 224 0.06 0.49 Step 1940 of 2112 0.90 224 0.05 0.50 Step 1948 of 2112 0.90 224 0.04 0.50 Step 1956 of 2112 0.90 224 0.04 0.52 Step 1964 of 2112 0.90 256 0.05 0.53 Step 1972 of 2112 0.91 256 0.05 0.51 Step 1980 of 2112 0.91 256 0.06 0.52 Step 1988 of 2112 0.91 256 0.06 0.53 Step 1996 of 2112 0.91 256 0.06 0.55 Step 2004 of 2112 0.91 256 0.06 0.56 Step 2012 of 2112 0.91 256 0.06 0.50 Step 2020 of 2112 0.91 256 0.05 0.52 Step 2028 of 2112 0.92 256 0.05 0.52 Step 2036 of 2112 0.92 256 0.03 0.52 Step 2044 of 2112 0.92 256 0.05 0.49 Step 2052 of 2112 0.92 256 0.05 0.52 Step 2060 of 2112 0.92 256 0.05 0.51 Step 2068 of 2112 0.92 256 0.05 0.51 Step 2076 of 2112 0.92 256 0.06 0.59 Step 2084 of 2112 0.93 256 0.06 0.56 Step 2092 of 2112 0.93 256 0.06 0.51 Step 2100 of 2112 0.93 256 0.05 0.52 Step 2108 of 2112 0.93 256 0.04 0.48 ROW NITER SIG(med) CHI^2 .0000 2 0.98 1.69 .0001 2 0.98 1.39 .0002 2 0.98 1.36 .0003 2 0.98 1.42 .0004 2 0.98 1.36 .0005 2 0.98 1.31 .0006 2 0.98 1.33 .0007 2 0.98 1.38 .0008 2 0.98 1.53 .0009 2 0.98 1.46 .0010 2 0.98 1.40 .0011 2 0.98 1.36 .0012 2 0.98 1.38 .0013 2 0.98 1.44 .0014 2 0.98 1.50 .0015 2 0.98 1.43 .0016 2 0.98 1.45 .0017 2 0.98 1.41 .0018 2 0.98 1.44 .0019 2 0.98 1.49 .0020 2 0.98 1.42 .0021 2 0.98 1.41 .0022 2 0.98 1.45 .0023 2 0.98 1.53 .0024 2 0.98 1.48 .0025 2 0.98 1.40 .0026 2 0.98 1.59 .0027 3 0.98 1.57 .0028 2 0.98 1.49 .0029 2 0.98 1.53 .0030 2 0.98 1.55 .0031 2 0.98 1.53 .0032 2 0.98 1.57 .0033 2 0.98 1.56 .0034 2 0.97 1.63 .0035 2 0.97 1.58 .0036 2 0.97 1.52 .0037 2 0.97 1.60 .0038 2 0.97 1.52 .0039 2 0.97 1.75 .0040 2 0.97 1.68 .0041 2 0.97 1.69 .0042 2 0.97 1.92 .0043 2 0.97 1.71 .0044 2 0.97 1.70 .0045 2 0.97 1.65 .0046 2 0.97 1.68 .0047 2 0.97 1.66 .0048 1 0.97 2.16 .0049 1 0.97 1.99 .0050 1 0.97 1.95 .0051 1 0.97 2.03 .0052 1 0.97 2.54 .0053 1 0.97 1.96 .0054 1 0.97 1.99 .0055 1 0.97 1.92 .0056 1 0.97 1.94 .0057 1 0.97 1.97 .0058 1 0.97 1.84 .0059 1 0.97 1.92 .0060 1 0.97 1.93 .0061 1 0.97 1.95 .0062 1 0.97 1.97 .0063 1 0.97 1.84 .0064 1 0.97 1.91 .0065 1 0.97 1.82 .0066 1 0.97 1.89 .0067 1 0.97 1.93 .0068 1 0.97 2.03 .0069 2 0.97 2.08 .0070 1 0.97 1.93 .0071 1 0.97 1.80 .0072 1 0.97 1.87 .0073 1 0.97 1.97 .0074 2 0.97 1.92 .0075 1 0.97 2.01 .0076 1 0.97 1.96 .0077 1 0.97 1.95 .0078 1 0.97 1.99 .0079 1 0.97 1.89 .0080 1 0.97 1.91 .0081 1 0.97 1.98 .0082 1 0.97 2.02 .0083 3 0.97 1.94 .0084 2 0.97 2.05 .0085 1 0.97 1.88 .0086 1 0.97 1.98 .0087 1 0.97 1.98 .0088 2 0.97 1.97 .0089 1 0.97 1.96 .0090 2 0.97 1.97 .0091 1 0.97 1.84 .0092 1 0.97 1.90 .0093 1 0.97 1.98 .0094 1 0.97 1.99 .0095 1 0.96 1.88 .0096 1 0.96 1.75 .0097 1 0.96 2.17 .0098 1 0.96 1.83 .0099 1 0.96 1.85 .0100 1 0.96 1.95 .0101 1 0.96 1.79 .0102 1 0.96 1.78 .0103 1 0.96 1.83 .0104 2 0.96 1.82 .0105 1 0.96 1.85 .0106 1 0.96 1.84 .0107 1 0.96 1.75 .0108 1 0.96 1.85 .0109 3 0.96 1.82 .0110 1 0.96 1.95 .0111 1 0.96 1.83 .0112 1 0.96 1.97 .0113 1 0.96 1.82 .0114 2 0.96 1.82 .0115 1 0.96 1.80 .0116 1 0.96 1.88 .0117 1 0.96 1.82 .0118 1 0.96 2.04 .0119 1 0.96 1.70 .0120 1 0.96 1.84 .0121 1 0.96 1.86 .0122 1 0.96 1.91 .0123 1 0.96 1.84 .0124 1 0.96 1.80 .0125 1 0.96 1.92 .0126 1 0.96 1.93 .0127 1 0.96 1.90 .0128 1 0.96 1.81 .0129 1 0.96 1.88 .0130 1 0.96 1.81 .0131 1 0.96 1.91 .0132 1 0.96 1.90 .0133 1 0.96 1.86 .0134 1 0.96 1.89 .0135 1 0.96 1.78 .0136 1 0.96 1.91 .0137 1 0.96 1.78 .0138 1 0.96 1.82 .0139 1 0.96 1.81 .0140 1 0.96 1.84 .0141 1 0.96 1.78 .0142 1 0.96 1.72 .0143 1 0.96 1.86 .0144 1 0.96 1.63 .0145 1 0.96 1.75 .0146 1 0.96 1.84 .0147 1 0.96 1.78 .0148 1 0.96 1.85 .0149 1 0.96 1.77 .0150 1 0.96 1.84 .0151 1 0.96 1.77 .0152 2 0.96 1.78 .0153 1 0.96 1.74 .0154 1 0.96 1.78 .0155 1 0.96 1.78 .0156 1 0.96 1.80 .0157 1 0.96 2.17 .0158 2 0.96 1.86 .0159 1 0.96 1.73 .0160 1 0.96 1.74 .0161 1 0.96 1.72 .0162 1 0.96 1.85 .0163 2 0.96 1.73 .0164 1 0.96 1.65 .0165 1 0.95 1.69 .0166 1 0.95 1.88 .0167 1 0.95 1.70 .0168 1 0.95 1.79 .0169 1 0.95 1.74 .0170 1 0.95 1.76 .0171 1 0.95 1.77 .0172 1 0.95 1.73 .0173 1 0.95 1.72 .0174 2 0.95 1.84 .0175 1 0.95 1.90 .0176 1 0.95 1.70 .0177 1 0.95 1.76 .0178 2 0.95 1.83 .0179 1 0.95 1.77 .0180 1 0.95 1.79 .0181 1 0.95 1.80 .0182 1 0.95 2.02 .0183 1 0.95 1.76 .0184 1 0.95 1.95 .0185 1 0.95 1.84 .0186 1 0.95 1.82 .0187 1 0.95 1.86 .0188 1 0.95 1.86 .0189 1 0.95 1.84 .0190 1 0.95 1.84 .0191 1 0.95 1.89 .0192 1 0.95 1.94 .0193 1 0.95 1.86 .0194 1 0.95 1.87 .0195 1 0.95 1.91 .0196 1 0.95 1.92 .0197 1 0.95 1.93 .0198 1 0.95 1.89 .0199 1 0.95 1.96 .0200 2 0.95 1.91 .0201 1 0.95 2.14 .0202 1 0.95 1.94 .0203 1 0.95 1.97 .0204 1 0.95 1.98 .0205 1 0.95 1.96 .0206 1 0.95 1.98 .0207 1 0.95 2.08 .0208 1 0.95 1.94 .0209 1 0.95 2.04 .0210 1 0.95 2.04 .0211 1 0.95 2.05 .0212 1 0.95 2.13 .0213 1 0.95 2.03 .0214 1 0.95 2.17 .0215 1 0.95 2.18 .0216 1 0.95 2.16 .0217 1 0.95 2.18 .0218 3 0.95 2.24 .0219 3 0.95 2.16 .0220 1 0.95 2.18 .0221 1 0.95 2.15 .0222 1 0.95 2.30 .0223 1 0.95 2.15 .0224 1 0.95 2.16 .0225 1 0.95 2.21 .0226 1 0.95 2.26 .0227 1 0.95 2.24 .0228 1 0.95 2.29 .0229 1 0.95 2.39 .0230 1 0.95 2.32 .0231 1 0.95 2.23 .0232 1 0.95 2.32 .0233 1 0.95 2.32 .0234 1 0.95 2.21 .0235 1 0.95 2.26 .0236 1 0.95 2.24 .0237 1 0.95 2.39 .0238 2 0.95 2.32 .0239 1 0.95 2.18 .0240 1 0.95 2.35 .0241 1 0.95 2.18 .0242 1 0.95 2.08 .0243 1 0.95 2.14 .0244 1 0.95 2.15 .0245 1 0.95 2.27 .0246 1 0.95 2.60 .0247 1 0.95 2.13 .0248 1 0.94 2.12 .0249 1 0.94 2.34 .0250 1 0.94 2.11 .0251 1 0.94 2.20 .0252 1 0.94 2.12 .0253 1 0.94 2.13 .0254 1 0.94 2.12 .0255 1 0.94 2.09 .0256 1 0.94 1.99 .0257 1 0.94 2.06 .0258 1 0.94 2.07 .0259 1 0.94 2.11 .0260 1 0.94 2.06 .0261 1 0.94 2.07 .0262 1 0.94 2.06 .0263 1 0.94 1.93 .0264 1 0.94 1.97 .0265 2 0.94 2.02 .0266 1 0.94 1.99 .0267 2 0.94 2.07 .0268 1 0.94 2.01 .0269 1 0.94 2.10 .0270 1 0.94 1.92 .0271 1 0.94 1.91 .0272 1 0.94 1.90 .0273 1 0.94 1.91 .0274 1 0.94 1.87 .0275 1 0.94 1.89 .0276 1 0.94 1.97 .0277 1 0.94 1.99 .0278 1 0.94 2.09 .0279 1 0.94 2.05 .0280 1 0.94 2.09 .0281 1 0.94 1.99 .0282 1 0.94 2.04 .0283 1 0.94 1.92 .0284 1 0.94 1.85 .0285 2 0.94 1.76 .0286 2 0.94 2.18 .0287 1 0.94 1.99 .0288 1 0.94 2.02 .0289 1 0.94 1.82 .0290 1 0.94 1.84 .0291 1 0.94 1.81 .0292 1 0.94 1.90 .0293 1 0.94 1.99 .0294 1 0.94 1.89 .0295 1 0.94 1.90 .0296 1 0.94 1.77 .0297 1 0.94 1.99 .0298 1 0.94 1.90 .0299 1 0.94 1.88 .0300 1 0.94 1.89 .0301 1 0.94 1.92 .0302 1 0.94 1.93 .0303 1 0.94 1.79 .0304 1 0.94 1.87 .0305 1 0.94 1.94 .0306 1 0.94 1.78 .0307 1 0.94 1.79 .0308 1 0.94 1.79 .0309 1 0.94 1.78 .0310 1 0.94 1.94 .0311 1 0.94 1.80 .0312 1 0.94 1.96 .0313 1 0.94 1.96 .0314 1 0.94 1.89 .0315 1 0.94 1.90 .0316 1 0.94 1.98 .0317 1 0.94 1.89 .0318 1 0.94 1.76 .0319 1 0.94 1.93 .0320 1 0.94 1.84 .0321 1 0.94 1.95 .0322 2 0.94 1.89 .0323 2 0.94 1.75 .0324 1 0.94 1.91 .0325 1 0.94 1.90 .0326 1 0.94 1.93 .0327 1 0.94 1.83 .0328 1 0.94 1.86 .0329 2 0.94 2.26 .0330 1 0.94 1.84 .0331 1 0.94 1.86 .0332 1 0.94 1.89 .0333 1 0.94 1.94 .0334 1 0.94 1.96 .0335 1 0.94 1.96 .0336 1 0.94 1.89 .0337 1 0.94 1.86 .0338 1 0.94 2.10 .0339 1 0.94 1.94 .0340 1 0.94 2.05 .0341 1 0.94 2.03 .0342 1 0.94 1.97 .0343 1 0.94 2.01 .0344 1 0.94 2.06 .0345 1 0.94 1.94 .0346 1 0.94 1.95 .0347 1 0.94 1.91 .0348 1 0.94 1.99 .0349 1 0.94 2.06 .0350 1 0.94 2.02 .0351 1 0.94 2.08 .0352 1 0.94 1.96 .0353 1 0.94 1.98 .0354 1 0.93 1.89 .0355 1 0.93 1.91 .0356 1 0.93 2.06 .0357 1 0.93 1.96 .0358 1 0.93 1.89 .0359 1 0.93 1.94 .0360 2 0.93 1.90 .0361 2 0.93 1.97 .0362 2 0.93 1.78 .0363 2 0.93 1.86 .0364 2 0.93 1.92 .0365 2 0.93 1.86 .0366 2 0.93 1.84 .0367 2 0.93 1.88 .0368 2 0.93 1.81 .0369 2 0.93 1.82 .0370 2 0.93 1.84 .0371 2 0.93 1.81 .0372 2 0.93 1.88 .0373 2 0.93 1.84 .0374 2 0.93 1.87 .0375 2 0.93 1.76 .0376 2 0.93 1.92 .0377 2 0.93 1.85 .0378 2 0.93 1.77 .0379 2 0.93 1.92 .0380 2 0.93 1.96 .0381 2 0.93 1.84 .0382 2 0.93 1.90 .0383 2 0.93 1.88 .0384 2 0.93 2.02 .0385 2 0.93 1.82 .0386 2 0.93 1.78 .0387 2 0.93 1.73 .0388 2 0.93 1.78 .0389 2 0.93 2.02 .0390 2 0.93 1.83 .0391 2 0.93 1.81 .0392 2 0.93 1.83 .0393 2 0.93 1.87 .0394 2 0.93 1.73 .0395 2 0.93 1.86 .0396 2 0.93 1.87 .0397 2 0.93 1.74 .0398 2 0.93 1.77 .0399 1 0.93 1.93 .0400 1 0.93 1.87 .0401 1 0.93 1.94 .0402 1 0.93 1.86 .0403 1 0.93 1.82 .0404 1 0.93 1.93 .0405 1 0.93 1.88 .0406 2 0.93 1.87 .0407 1 0.93 1.82 .0408 1 0.93 1.74 .0409 1 0.93 1.92 .0410 1 0.93 1.78 .0411 1 0.93 1.97 .0412 1 0.93 1.82 .0413 1 0.93 1.89 .0414 1 0.93 1.84 .0415 1 0.93 1.84 .0416 1 0.93 1.90 .0417 1 0.93 1.91 .0418 1 0.93 1.76 .0419 1 0.93 1.84 .0420 1 0.93 1.77 .0421 1 0.93 1.74 .0422 1 0.93 1.76 .0423 1 0.93 1.83 .0424 1 0.93 1.87 .0425 1 0.93 1.70 .0426 1 0.93 1.79 .0427 1 0.93 1.71 .0428 1 0.93 1.76 .0429 1 0.93 1.83 .0430 1 0.93 1.73 .0431 2 0.93 1.84 .0432 1 0.93 1.76 .0433 1 0.93 1.87 .0434 1 0.93 1.81 .0435 1 0.93 1.84 .0436 1 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0.91 2.99 .1658 1 0.91 3.08 .1659 1 0.91 2.89 .1660 1 0.91 3.07 .1661 1 0.91 3.00 .1662 1 0.91 2.92 .1663 1 0.91 3.04 .1664 1 0.91 2.94 .1665 1 0.91 2.89 .1666 1 0.91 3.03 .1667 1 0.91 3.09 .1668 1 0.91 3.06 .1669 1 0.91 3.07 .1670 1 0.91 3.01 .1671 1 0.91 3.04 .1672 1 0.91 2.94 .1673 1 0.91 2.89 .1674 1 0.91 3.04 .1675 1 0.91 2.97 .1676 1 0.91 3.02 .1677 1 0.91 3.00 .1678 1 0.91 2.98 .1679 1 0.91 3.00 .1680 1 0.91 2.99 .1681 1 0.91 3.04 .1682 1 0.91 3.29 .1683 1 0.91 3.08 .1684 1 0.91 3.03 .1685 1 0.91 2.91 .1686 1 0.91 2.98 .1687 1 0.91 3.09 .1688 1 0.91 3.02 .1689 1 0.91 3.20 .1690 1 0.91 3.23 .1691 1 0.91 3.03 .1692 1 0.91 3.05 .1693 1 0.91 3.24 .1694 2 0.91 3.04 .1695 2 0.91 3.03 .1696 1 0.91 3.37 .1697 1 0.91 3.14 .1698 1 0.91 3.04 .1699 1 0.91 3.16 .1700 1 0.91 2.93 .1701 1 0.91 3.18 .1702 1 0.91 3.23 .1703 2 0.91 3.24 .1704 3 0.91 3.14 .1705 2 0.91 3.04 .1706 2 0.91 2.97 .1707 1 0.91 3.01 .1708 1 0.91 3.15 .1709 1 0.91 3.13 .1710 1 0.91 3.32 .1711 1 0.91 3.06 .1712 2 0.91 2.99 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0.91 2.83 .1769 1 0.91 3.01 .1770 1 0.91 2.89 .1771 1 0.91 2.95 .1772 1 0.91 2.98 .1773 1 0.91 2.94 .1774 1 0.91 3.11 .1775 1 0.91 2.97 .1776 1 0.91 2.83 .1777 1 0.91 3.15 .1778 1 0.91 2.88 .1779 1 0.91 2.87 .1780 1 0.91 2.97 .1781 1 0.91 3.26 .1782 1 0.91 2.82 .1783 1 0.91 3.00 .1784 1 0.91 3.13 .1785 1 0.91 2.91 .1786 1 0.91 2.97 .1787 1 0.91 2.82 .1788 1 0.91 2.99 .1789 1 0.91 3.00 .1790 1 0.91 2.96 .1791 1 0.91 2.92 .1792 1 0.91 2.98 .1793 1 0.91 2.75 .1794 2 0.91 2.85 .1795 1 0.91 2.82 .1796 1 0.91 2.82 .1797 2 0.91 2.99 .1798 1 0.91 2.72 .1799 1 0.91 2.99 .1800 1 0.91 2.73 .1801 1 0.91 2.70 .1802 1 0.91 2.83 .1803 1 0.91 2.82 .1804 1 0.91 2.73 .1805 1 0.91 2.98 .1806 1 0.91 2.72 .1807 1 0.91 2.84 .1808 1 0.91 2.71 .1809 1 0.91 2.81 .1810 1 0.91 2.79 .1811 1 0.91 2.87 .1812 1 0.91 2.84 .1813 1 0.91 2.91 .1814 1 0.91 3.06 .1815 1 0.91 2.93 .1816 1 0.91 2.90 .1817 1 0.91 3.04 .1818 1 0.91 3.06 .1819 1 0.91 2.89 .1820 1 0.91 2.76 .1821 1 0.91 3.05 .1822 1 0.91 2.87 .1823 1 0.91 2.79 .1824 1 0.91 2.85 .1825 1 0.91 2.97 .1826 1 0.91 3.16 .1827 1 0.91 2.92 .1828 1 0.91 2.92 .1829 1 0.91 2.89 .1830 1 0.91 2.98 .1831 1 0.91 2.89 .1832 1 0.91 2.95 .1833 1 0.91 3.06 .1834 1 0.91 2.76 .1835 1 0.91 2.93 .1836 1 0.91 2.87 .1837 1 0.91 2.85 .1838 1 0.91 2.72 .1839 1 0.91 2.69 .1840 1 0.91 2.88 .1841 1 0.91 2.78 .1842 1 0.91 2.90 .1843 1 0.91 2.92 .1844 1 0.91 2.85 .1845 1 0.91 2.98 .1846 1 0.91 2.96 .1847 1 0.91 3.04 .1848 1 0.91 3.00 .1849 1 0.91 2.77 .1850 1 0.91 2.64 .1851 1 0.91 2.96 .1852 1 0.91 2.92 .1853 1 0.91 2.90 .1854 1 0.91 2.98 .1855 1 0.91 2.84 .1856 2 0.91 2.90 .1857 1 0.91 2.94 .1858 1 0.91 2.93 .1859 1 0.91 2.97 .1860 1 0.91 3.16 .1861 1 0.91 3.23 .1862 1 0.91 2.97 .1863 1 0.91 3.16 .1864 1 0.91 3.20 .1865 1 0.91 2.98 .1866 1 0.91 3.10 .1867 1 0.91 2.97 .1868 1 0.91 3.37 .1869 3 0.91 2.99 .1870 1 0.91 3.28 .1871 1 0.91 3.09 .1872 1 0.91 3.27 .1873 1 0.91 3.20 .1874 1 0.91 2.98 .1875 1 0.91 2.98 .1876 1 0.91 2.93 .1877 1 0.91 2.95 .1878 1 0.91 2.92 .1879 1 0.91 3.05 .1880 1 0.91 3.12 .1881 1 0.91 2.82 .1882 1 0.91 3.07 .1883 1 0.91 3.02 .1884 1 0.91 2.98 .1885 1 0.91 2.92 .1886 1 0.91 3.01 .1887 1 0.91 2.83 .1888 1 0.91 2.95 .1889 1 0.91 2.87 .1890 1 0.91 2.97 .1891 1 0.91 3.03 .1892 1 0.91 3.04 .1893 1 0.91 3.05 .1894 1 0.91 2.89 .1895 1 0.91 3.13 .1896 1 0.91 3.04 .1897 1 0.91 2.99 .1898 1 0.91 3.00 .1899 1 0.91 3.04 .1900 1 0.91 3.04 .1901 1 0.91 3.07 .1902 1 0.91 3.21 .1903 1 0.91 2.98 .1904 1 0.91 3.21 .1905 1 0.91 3.21 .1906 1 0.91 3.13 .1907 1 0.91 3.20 .1908 1 0.91 3.32 .1909 1 0.91 3.05 .1910 1 0.91 2.97 .1911 1 0.91 3.04 .1912 1 0.91 3.07 .1913 1 0.91 2.82 .1914 1 0.91 2.95 .1915 1 0.91 3.21 .1916 1 0.91 2.90 .1917 1 0.91 2.90 .1918 1 0.91 2.93 .1919 1 0.91 2.86 .1920 1 0.91 2.83 .1921 1 0.91 2.98 .1922 1 0.91 3.03 .1923 1 0.91 3.07 .1924 1 0.91 3.11 .1925 1 0.91 3.30 .1926 1 0.91 3.08 .1927 1 0.91 3.04 .1928 1 0.91 3.01 .1929 1 0.91 2.99 .1930 1 0.91 2.88 .1931 1 0.91 2.93 .1932 1 0.91 2.99 .1933 1 0.91 2.92 .1934 1 0.91 2.91 .1935 1 0.91 2.90 .1936 1 0.91 3.02 .1937 1 0.91 2.87 .1938 1 0.91 3.02 .1939 1 0.91 2.98 .1940 1 0.91 3.03 .1941 2 0.91 3.06 .1942 1 0.91 3.19 .1943 1 0.91 3.08 .1944 1 0.91 3.21 .1945 1 0.91 2.90 .1946 1 0.91 3.09 .1947 1 0.91 2.96 .1948 1 0.91 3.11 .1949 1 0.91 2.85 .1950 1 0.91 2.87 .1951 1 0.91 3.14 .1952 1 0.91 3.00 .1953 1 0.91 2.90 .1954 1 0.91 3.08 .1955 1 0.91 2.95 .1956 1 0.91 2.91 .1957 1 0.91 2.90 .1958 1 0.91 3.01 .1959 1 0.91 2.93 .1960 1 0.91 3.08 .1961 1 0.91 2.97 .1962 1 0.91 3.00 .1963 1 0.91 2.96 .1964 1 0.91 2.91 .1965 1 0.91 2.86 .1966 1 0.91 3.00 .1967 1 0.91 2.93 .1968 1 0.91 3.21 .1969 1 0.91 2.85 .1970 1 0.91 2.99 .1971 1 0.91 2.81 .1972 1 0.91 3.01 .1973 1 0.91 2.87 .1974 1 0.91 2.92 .1975 1 0.91 2.98 .1976 1 0.91 2.91 .1977 1 0.91 3.09 .1978 1 0.91 2.89 .1979 1 0.91 3.01 .1980 1 0.91 2.84 .1981 1 0.91 2.95 .1982 1 0.91 3.12 .1983 1 0.91 2.94 .1984 1 0.91 2.86 .1985 1 0.91 2.85 .1986 1 0.91 2.93 .1987 1 0.91 3.02 .1988 1 0.91 2.98 .1989 1 0.91 2.94 .1990 1 0.91 2.86 .1991 1 0.91 3.03 .1992 1 0.91 2.98 .1993 1 0.91 2.96 .1994 1 0.91 3.05 .1995 1 0.91 2.98 .1996 1 0.91 2.93 .1997 1 0.91 2.88 .1998 1 0.91 3.06 .1999 1 0.91 2.95 .2000 1 0.91 2.92 .2001 1 0.91 2.94 .2002 1 0.91 3.28 .2003 1 0.91 2.77 .2004 1 0.91 2.99 .2005 2 0.91 3.48 .2006 1 0.91 2.80 .2007 1 0.91 3.00 .2008 1 0.91 2.91 .2009 1 0.91 2.88 .2010 1 0.91 2.99 .2011 1 0.91 2.89 .2012 1 0.91 2.98 .2013 1 0.91 3.10 .2014 1 0.91 2.89 .2015 1 0.91 2.99 .2016 1 0.91 3.05 .2017 1 0.91 2.71 .2018 1 0.91 2.93 .2019 1 0.91 2.95 .2020 1 0.91 2.93 .2021 1 0.91 2.93 .2022 1 0.91 2.74 .2023 1 0.91 2.97 .2024 1 0.91 2.88 .2025 1 0.91 2.94 .2026 1 0.91 2.96 .2027 1 0.91 2.87 .2028 1 0.91 2.85 .2029 1 0.91 2.94 .2030 1 0.91 2.98 .2031 1 0.91 3.11 .2032 1 0.91 2.83 .2033 1 0.91 3.07 .2034 1 0.91 3.37 .2035 1 0.91 2.92 .2036 1 0.91 2.89 .2037 1 0.91 2.80 .2038 1 0.91 2.95 .2039 1 0.91 2.84 .2040 1 0.91 2.90 .2041 1 0.91 2.95 .2042 1 0.91 3.03 .2043 1 0.91 2.97 .2044 1 0.91 2.89 .2045 1 0.91 2.85 .2046 1 0.91 2.95 .2047 1 0.91 2.90 EXTRACT_IMAGE: r1: masked 361 pixels SPCALIB: r1: First extraction chi^2 1.34325 7.58466 SPCALIB: r1: Second extraction chi^2 1.30900 3.72892 SUPERFLAT: r1: Creating superflat from 303 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000highest breakpoint does not cover highest x value, changing .0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179Lowest breakpoint does not cover lowest x value: changing .0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r1: Number of fiberflat points LE 0 = 10861 SPCALIB: r1: Elapsed time = 510. seconds SPREDUCE: r1: Best flat = sdR-r1-00034673.fit SPREDUCE: r1: Best arc = sdR-r1-00034674.fit QAPLOT_ARCLINE: r1: Number of arc lines: 35 QAPLOT_ARCLINE: r1: Number of arc lines above 8000 Ang: 10 QAPLOT_ARCLINE: r1: Arcline 0: lambda= 5852.49 Ang, median dev= -0.011 pix, sigma dev= 0.020 pix QAPLOT_ARCLINE: r1: Arcline 1: lambda= 5881.90 Ang, median dev= -0.003 pix, sigma dev= 0.016 pix QAPLOT_ARCLINE: r1: Arcline 2: lambda= 5944.83 Ang, median dev= 0.016 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: r1: Arcline 3: lambda= 6030.00 Ang, median dev= 0.011 pix, sigma dev= 0.016 pix QAPLOT_ARCLINE: r1: Arcline 4: lambda= 6074.34 Ang, median dev= -0.003 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 5: lambda= 6096.16 Ang, median dev= -0.009 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 6: lambda= 6143.06 Ang, median dev= -0.010 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 7: lambda= 6163.59 Ang, median dev= 0.002 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r1: Arcline 8: lambda= 6217.28 Ang, median dev= 0.004 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 9: lambda= 6266.49 Ang, median dev= 0.007 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r1: Arcline 10: lambda= 6304.79 Ang, median dev= 0.007 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 11: lambda= 6334.43 Ang, median dev= 0.001 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 12: lambda= 6382.99 Ang, median dev= 0.003 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 13: lambda= 6402.25 Ang, median dev= -0.003 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 14: lambda= 6506.53 Ang, median dev= -0.003 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 15: lambda= 6532.88 Ang, median dev= 0.000 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r1: Arcline 16: lambda= 6598.95 Ang, median dev= 0.003 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 17: lambda= 6717.04 Ang, median dev= -0.004 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 18: lambda= 6929.47 Ang, median dev= -0.004 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 19: lambda= 7173.94 Ang, median dev= 0.003 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r1: Arcline 20: lambda= 7245.17 Ang, median dev= -0.008 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 21: lambda= 7438.90 Ang, median dev= 0.001 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r1: Arcline 22: lambda= 7488.87 Ang, median dev= 0.005 pix, sigma dev= 0.017 pix QAPLOT_ARCLINE: r1: Arcline 23: lambda= 7535.77 Ang, median dev= 0.014 pix, sigma dev= 0.017 pix QAPLOT_ARCLINE: r1: Arcline 24: lambda= 7635.11 Ang, median dev= 0.014 pix, sigma dev= 0.030 pix QAPLOT_ARCLINE: r1: Arcline 25: lambda= 8014.79 Ang, median dev= 0.024 pix, sigma dev= 0.083 pix QAPLOT_ARCLINE: r1: Arcline 26: lambda= 8103.69 Ang, median dev= 0.014 pix, sigma dev= 0.055 pix QAPLOT_ARCLINE: r1: Arcline 27: lambda= 8300.33 Ang, median dev= 0.029 pix, sigma dev= 0.027 pix QAPLOT_ARCLINE: r1: Arcline 28: lambda= 8377.61 Ang, median dev= -0.036 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: r1: Arcline 29: lambda= 8495.36 Ang, median dev= -0.009 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r1: Arcline 30: lambda= 8591.26 Ang, median dev= -0.007 pix, sigma dev= 0.025 pix QAPLOT_ARCLINE: r1: Arcline 31: lambda= 8634.65 Ang, median dev= 0.006 pix, sigma dev= 0.029 pix QAPLOT_ARCLINE: r1: Arcline 32: lambda= 8654.38 Ang, median dev= 0.032 pix, sigma dev= 0.019 pix QAPLOT_ARCLINE: r1: Arcline 33: lambda= 8853.87 Ang, median dev= 0.003 pix, sigma dev= 0.043 pix QAPLOT_ARCLINE: r1: Arcline 34: lambda= 9122.97 Ang, median dev= -0.024 pix, sigma dev= 0.096 pix SPREDUCE: sdR-r1-00034675.fit: Reading object sdR-r1-00034675.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034675.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034675.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034675.fit: Measured read-noise in DN for amp# 2 = 3.91283 SDSSPROC: sdR-r1-00034675.fit: Measured bias value in DN for amp# 2 = 1183.81 SDSSPROC: sdR-r1-00034675.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034675.fit: Amp #2 Number of pix below bias-5*sigma= 1163. DN is 0 SDSSPROC: sdR-r1-00034675.fit: Measured read-noise in DN for amp# 3 = 3.59740 SDSSPROC: sdR-r1-00034675.fit: Measured bias value in DN for amp# 3 = 1233.53 SDSSPROC: sdR-r1-00034675.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034675.fit: Amp #3 Number of pix below bias-5*sigma= 1213. DN is 0 SDSSPROC: sdR-r1-00034675.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034675.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034675.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034675.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034675.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034675.fit: Science 25-th-percentile = 135.618 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034675.fit: Whopping fibers: -1 EXTRACT_OBJECT: sdR-r1-00034675.fit: Median counts in all fibers = 3397.13 EXTRACT_OBJECT: sdR-r1-00034675.fit: Number of bright fibers = 0 EXTRACT_OBJECT: sdR-r1-00034675.fit: Sky fiber median 610.155 EXTRACT_OBJECT: sdR-r1-00034675.fit: 5% and 95% count levels 426.977 6492.63 MATCH_TRACE: sdR-r1-00034675.fit: Iteration: 0 Pixels Rejected: 1552 Finished? 0 MATCH_TRACE: sdR-r1-00034675.fit: Iteration: 1 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: sdR-r1-00034675.fit: Iteration: 2 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r1-00034675.fit: Shifting traces by match_trace -0.0160217 EXTRACT_OBJECT: sdR-r1-00034675.fit: Extracting frame sdR-r1-00034675.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034675.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 2 0.98 1.22 .0001 3 0.98 1.20 .0002 1 0.97 1.17 .0003 1 0.97 1.21 .0004 2 0.97 1.24 .0005 2 0.97 1.27 .0006 3 0.97 1.22 .0007 2 0.97 1.22 .0008 2 0.97 1.38 .0009 2 0.97 1.26 .0010 2 0.97 1.39 .0011 1 0.97 1.24 .0012 1 0.97 1.15 .0013 1 0.97 1.34 .0014 2 0.97 1.28 .0015 1 0.97 1.23 .0016 2 0.97 1.31 .0017 1 0.97 1.23 .0018 3 0.97 1.23 .0019 3 0.97 1.32 .0020 2 0.97 1.23 .0021 1 0.97 1.27 .0022 1 0.97 1.35 .0023 2 0.97 1.40 .0024 2 0.97 1.31 .0025 1 0.97 1.32 .0026 1 0.97 1.33 .0027 1 0.97 1.37 .0028 2 0.97 1.37 .0029 3 0.97 1.33 .0030 1 0.97 1.54 .0031 3 0.97 1.37 .0032 3 0.97 1.52 .0033 2 0.97 1.38 .0034 1 0.97 1.31 .0035 2 0.97 1.49 .0036 1 0.97 1.37 .0037 2 0.97 1.46 .0038 2 0.97 1.54 .0039 3 0.97 1.60 .0040 6 0.97 1.42 .0041 3 0.97 1.47 .0042 2 0.97 1.47 .0043 1 0.97 1.54 .0044 1 0.97 1.38 .0045 1 0.97 1.53 .0046 2 0.97 1.55 .0047 1 0.97 1.46 .0048 1 0.97 1.46 .0049 1 0.97 1.54 .0050 1 0.97 1.41 .0051 3 0.97 1.54 .0052 3 0.97 1.53 .0053 1 0.97 1.46 .0054 1 0.97 1.56 .0055 1 0.97 1.58 .0056 1 0.97 1.64 .0057 2 0.97 1.48 .0058 1 0.97 1.52 .0059 1 0.97 1.57 .0060 2 0.97 1.59 .0061 2 0.96 1.58 .0062 1 0.96 1.48 .0063 5 0.96 1.61 .0064 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2.38 .1119 1 0.91 2.24 .1120 1 0.91 2.17 .1121 1 0.91 2.28 .1122 1 0.91 2.24 .1123 1 0.91 2.19 .1124 1 0.91 2.18 .1125 3 0.91 2.23 .1126 3 0.91 2.31 .1127 1 0.91 2.40 .1128 3 0.91 2.13 .1129 2 0.91 2.06 .1130 3 0.91 2.33 .1131 4 0.91 2.15 .1132 3 0.91 2.13 .1133 1 0.91 2.15 .1134 3 0.91 1.99 .1135 2 0.91 1.87 .1136 1 0.91 1.89 .1137 1 0.91 1.91 .1138 2 0.91 1.83 .1139 2 0.91 1.78 .1140 1 0.91 1.68 .1141 3 0.91 1.71 .1142 3 0.91 1.55 .1143 2 0.91 1.59 .1144 1 0.91 1.54 .1145 1 0.91 1.72 .1146 1 0.91 1.68 .1147 1 0.91 1.75 .1148 2 0.91 1.76 .1149 1 0.91 1.71 .1150 1 0.91 1.75 .1151 1 0.91 1.74 .1152 1 0.91 1.94 .1153 1 0.91 1.94 .1154 3 0.91 1.96 .1155 3 0.91 1.87 .1156 1 0.91 1.75 .1157 1 0.91 1.81 .1158 1 0.91 1.75 .1159 2 0.91 1.91 .1160 2 0.91 1.93 .1161 1 0.91 1.97 .1162 1 0.91 1.96 .1163 3 0.91 1.86 .1164 2 0.91 1.93 .1165 2 0.91 2.00 .1166 1 0.91 1.94 .1167 3 0.91 1.97 .1168 1 0.91 2.05 .1169 2 0.91 1.98 .1170 1 0.91 2.07 .1171 1 0.91 2.16 .1172 1 0.91 2.15 .1173 3 0.91 2.31 .1174 3 0.91 2.10 .1175 1 0.91 2.43 .1176 2 0.91 2.36 .1177 2 0.91 2.20 .1178 2 0.91 2.31 .1179 3 0.91 2.16 .1180 2 0.91 2.29 .1181 1 0.91 2.19 .1182 2 0.91 2.17 .1183 2 0.91 2.17 .1184 1 0.91 2.40 .1185 1 0.91 2.31 .1186 2 0.91 2.30 .1187 1 0.91 2.31 .1188 1 0.91 2.25 .1189 1 0.91 2.41 .1190 1 0.91 2.33 .1191 2 0.91 2.28 .1192 1 0.91 2.25 .1193 1 0.91 2.37 .1194 1 0.91 2.29 .1195 1 0.91 2.30 .1196 2 0.91 2.33 .1197 1 0.91 2.22 .1198 1 0.91 2.27 .1199 1 0.91 2.34 .1200 1 0.91 2.35 .1201 1 0.91 2.34 .1202 2 0.91 2.34 .1203 1 0.91 2.34 .1204 1 0.91 2.26 .1205 1 0.91 2.30 .1206 1 0.91 2.40 .1207 2 0.91 2.63 .1208 3 0.91 2.47 .1209 3 0.91 2.43 .1210 3 0.91 2.48 .1211 1 0.91 2.72 .1212 2 0.91 2.36 .1213 1 0.91 2.42 .1214 1 0.91 2.26 .1215 2 0.91 2.29 .1216 5 0.91 2.35 .1217 3 0.91 2.52 .1218 2 0.91 2.42 .1219 3 0.91 2.33 .1220 1 0.91 2.36 .1221 2 0.91 2.25 .1222 3 0.91 2.44 .1223 1 0.91 2.45 .1224 1 0.91 2.20 .1225 2 0.91 2.54 .1226 1 0.91 2.40 .1227 1 0.91 2.40 .1228 2 0.91 2.41 .1229 2 0.91 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2 0.92 2.21 .1508 1 0.92 2.23 .1509 1 0.92 2.09 .1510 1 0.92 2.36 .1511 1 0.92 2.23 .1512 1 0.92 2.14 .1513 1 0.92 2.03 .1514 1 0.92 2.06 .1515 2 0.92 2.12 .1516 1 0.92 2.11 .1517 1 0.92 2.03 .1518 1 0.92 2.22 .1519 2 0.92 2.11 .1520 1 0.92 2.18 .1521 1 0.92 2.23 .1522 3 0.92 2.10 .1523 2 0.92 2.21 .1524 1 0.92 2.21 .1525 2 0.92 2.13 .1526 2 0.92 2.23 .1527 1 0.92 2.21 .1528 2 0.92 2.26 .1529 1 0.92 2.21 .1530 1 0.92 2.23 .1531 1 0.92 2.27 .1532 1 0.92 2.17 .1533 1 0.92 2.16 .1534 2 0.92 2.27 .1535 3 0.92 2.14 .1536 4 0.92 2.19 .1537 2 0.92 2.19 .1538 2 0.92 2.22 .1539 1 0.92 2.17 .1540 1 0.92 2.11 .1541 1 0.92 2.12 .1542 1 0.92 2.18 .1543 1 0.92 2.19 .1544 1 0.92 2.23 .1545 1 0.92 2.15 .1546 2 0.92 2.22 .1547 3 0.92 2.18 .1548 1 0.92 2.23 .1549 2 0.92 2.23 .1550 1 0.92 2.17 .1551 1 0.92 2.22 .1552 2 0.92 2.21 .1553 1 0.92 2.17 .1554 1 0.92 2.05 .1555 2 0.92 2.18 .1556 3 0.92 2.07 .1557 3 0.92 2.21 .1558 2 0.92 2.26 .1559 3 0.92 2.26 .1560 1 0.92 2.13 .1561 1 0.92 2.16 .1562 3 0.92 2.22 .1563 1 0.92 2.15 .1564 2 0.92 2.20 .1565 1 0.92 2.07 .1566 1 0.92 2.23 .1567 1 0.92 2.22 .1568 2 0.92 2.19 .1569 1 0.92 2.30 .1570 1 0.92 2.11 .1571 1 0.92 2.15 .1572 1 0.92 2.19 .1573 2 0.92 2.28 .1574 2 0.92 2.16 .1575 1 0.92 2.17 .1576 1 0.92 2.14 .1577 2 0.92 2.38 .1578 2 0.92 2.27 .1579 2 0.92 2.14 .1580 1 0.92 2.22 .1581 1 0.92 2.46 .1582 1 0.92 2.12 .1583 1 0.92 2.27 .1584 1 0.92 2.27 .1585 2 0.92 2.32 .1586 2 0.92 2.30 .1587 3 0.92 2.32 .1588 1 0.92 2.14 .1589 1 0.92 2.17 .1590 1 0.92 2.17 .1591 1 0.92 2.24 .1592 1 0.92 2.26 .1593 1 0.92 2.22 .1594 1 0.92 2.33 .1595 3 0.92 2.08 .1596 1 0.92 2.01 .1597 1 0.92 2.31 .1598 1 0.92 2.16 .1599 1 0.92 2.23 .1600 2 0.92 2.32 .1601 3 0.92 2.37 .1602 3 0.92 2.17 .1603 1 0.92 2.12 .1604 1 0.92 2.28 .1605 1 0.92 2.26 .1606 1 0.92 2.15 .1607 2 0.92 2.20 .1608 2 0.92 2.13 .1609 2 0.92 2.17 .1610 2 0.92 2.40 .1611 1 0.92 2.26 .1612 3 0.92 2.63 .1613 2 0.92 2.21 .1614 2 0.92 2.33 .1615 1 0.92 2.28 .1616 2 0.92 1.99 .1617 2 0.92 2.21 .1618 3 0.92 2.33 .1619 4 0.92 2.23 .1620 2 0.92 2.40 .1621 2 0.92 2.17 .1622 2 0.92 2.34 .1623 2 0.92 2.22 .1624 1 0.92 2.25 .1625 3 0.92 2.21 .1626 3 0.92 2.23 .1627 1 0.92 2.16 .1628 1 0.92 2.09 .1629 2 0.92 2.29 .1630 2 0.92 2.25 .1631 2 0.92 2.11 .1632 1 0.92 2.30 .1633 2 0.92 2.22 .1634 2 0.92 2.08 .1635 2 0.92 2.10 .1636 2 0.92 2.27 .1637 2 0.92 2.28 .1638 3 0.92 2.21 .1639 1 0.92 2.11 .1640 1 0.92 2.10 .1641 1 0.92 2.22 .1642 3 0.92 2.23 .1643 2 0.92 2.30 .1644 1 0.92 2.26 .1645 1 0.92 2.14 .1646 1 0.92 2.18 .1647 2 0.92 2.25 .1648 1 0.92 2.27 .1649 1 0.92 2.25 .1650 1 0.92 2.26 .1651 1 0.92 2.22 .1652 1 0.92 2.19 .1653 1 0.92 2.20 .1654 2 0.92 2.26 .1655 1 0.92 2.28 .1656 1 0.92 2.20 .1657 1 0.92 2.13 .1658 1 0.92 2.02 .1659 1 0.92 2.18 .1660 3 0.92 2.14 .1661 3 0.92 2.28 .1662 1 0.92 2.16 .1663 1 0.92 2.14 .1664 1 0.92 2.24 .1665 1 0.92 2.24 .1666 1 0.92 2.27 .1667 3 0.92 2.21 .1668 2 0.92 2.26 .1669 1 0.92 2.17 .1670 3 0.92 2.50 .1671 3 0.92 2.15 .1672 2 0.92 2.04 .1673 3 0.92 2.30 .1674 1 0.92 2.16 .1675 2 0.92 2.22 .1676 3 0.92 2.08 .1677 1 0.92 2.03 .1678 1 0.92 2.18 .1679 3 0.92 2.21 .1680 3 0.92 2.11 .1681 3 0.92 2.05 .1682 2 0.92 2.04 .1683 1 0.92 2.35 .1684 3 0.92 2.28 .1685 2 0.92 2.29 .1686 2 0.92 2.17 .1687 2 0.92 2.18 .1688 6 0.92 2.06 .1689 1 0.92 2.48 .1690 1 0.92 2.29 .1691 2 0.92 2.37 .1692 1 0.92 2.15 .1693 1 0.92 2.07 .1694 1 0.92 2.20 .1695 1 0.92 2.13 .1696 2 0.92 2.00 .1697 2 0.92 2.34 .1698 1 0.92 2.12 .1699 1 0.92 2.15 .1700 1 0.92 2.25 .1701 2 0.92 2.18 .1702 1 0.92 2.09 .1703 2 0.92 2.23 .1704 1 0.92 2.05 .1705 2 0.92 2.08 .1706 2 0.92 2.15 .1707 3 0.92 2.12 .1708 2 0.92 2.26 .1709 1 0.92 2.28 .1710 1 0.92 2.20 .1711 1 0.92 2.14 .1712 1 0.92 2.04 .1713 1 0.92 1.99 .1714 1 0.92 2.24 .1715 1 0.92 2.09 .1716 2 0.92 2.11 .1717 1 0.92 2.03 .1718 1 0.92 2.10 .1719 1 0.92 2.12 .1720 1 0.92 2.14 .1721 1 0.92 2.13 .1722 1 0.92 2.11 .1723 1 0.92 2.15 .1724 1 0.92 2.06 .1725 1 0.92 2.04 .1726 1 0.92 2.18 .1727 1 0.92 2.21 .1728 1 0.92 2.24 .1729 1 0.92 2.18 .1730 1 0.92 2.08 .1731 1 0.92 2.02 .1732 2 0.92 2.25 .1733 2 0.92 2.17 .1734 1 0.92 2.04 .1735 2 0.92 2.10 .1736 1 0.92 1.99 .1737 3 0.92 1.94 .1738 1 0.92 2.10 .1739 2 0.92 2.08 .1740 1 0.92 2.00 .1741 1 0.92 2.12 .1742 2 0.92 2.08 .1743 1 0.92 1.99 .1744 1 0.92 2.08 .1745 2 0.92 2.07 .1746 2 0.92 2.17 .1747 1 0.92 1.89 .1748 1 0.92 1.92 .1749 1 0.92 2.00 .1750 1 0.92 2.04 .1751 1 0.92 1.99 .1752 2 0.92 1.97 .1753 2 0.92 1.86 .1754 1 0.92 2.12 .1755 1 0.92 1.96 .1756 1 0.92 2.03 .1757 1 0.92 1.98 .1758 1 0.92 2.07 .1759 1 0.92 2.19 .1760 1 0.92 1.99 .1761 1 0.92 2.00 .1762 4 0.92 2.11 .1763 2 0.92 2.27 .1764 3 0.92 2.20 .1765 3 0.92 2.17 .1766 3 0.92 2.10 .1767 3 0.92 2.04 .1768 3 0.92 2.05 .1769 2 0.92 2.14 .1770 1 0.92 2.22 .1771 2 0.92 2.02 .1772 1 0.92 2.14 .1773 2 0.92 2.25 .1774 1 0.92 2.04 .1775 1 0.92 2.05 .1776 2 0.92 2.05 .1777 1 0.92 2.16 .1778 1 0.92 1.98 .1779 1 0.92 1.89 .1780 1 0.92 2.04 .1781 1 0.92 2.16 .1782 1 0.92 2.00 .1783 2 0.92 2.07 .1784 1 0.92 2.03 .1785 1 0.92 2.06 .1786 1 0.92 2.01 .1787 1 0.92 2.12 .1788 1 0.92 2.09 .1789 1 0.92 2.13 .1790 2 0.92 2.11 .1791 3 0.92 2.16 .1792 4 0.92 2.06 .1793 2 0.92 2.01 .1794 1 0.92 2.04 .1795 2 0.92 2.09 .1796 1 0.92 2.08 .1797 1 0.92 2.04 .1798 1 0.92 1.88 .1799 1 0.92 2.03 .1800 1 0.92 1.92 .1801 2 0.92 1.95 .1802 1 0.92 1.96 .1803 2 0.92 2.24 .1804 1 0.91 2.19 .1805 2 0.91 2.03 .1806 1 0.91 1.93 .1807 1 0.91 2.01 .1808 2 0.91 2.08 .1809 2 0.91 2.16 .1810 2 0.91 2.07 .1811 1 0.91 2.05 .1812 1 0.91 1.94 .1813 2 0.91 2.17 .1814 4 0.91 2.11 .1815 2 0.91 2.04 .1816 2 0.91 2.18 .1817 1 0.91 2.15 .1818 1 0.91 2.08 .1819 1 0.91 2.03 .1820 3 0.91 1.93 .1821 1 0.91 2.08 .1822 1 0.91 1.95 .1823 1 0.91 2.08 .1824 3 0.91 2.07 .1825 3 0.91 2.10 .1826 2 0.91 2.16 .1827 1 0.91 2.18 .1828 4 0.91 1.99 .1829 4 0.91 2.22 .1830 3 0.91 2.14 .1831 1 0.91 2.12 .1832 1 0.91 2.13 .1833 1 0.91 2.04 .1834 2 0.91 2.04 .1835 1 0.91 2.15 .1836 2 0.91 2.20 .1837 2 0.91 2.01 .1838 2 0.91 2.06 .1839 2 0.91 2.03 .1840 1 0.91 2.10 .1841 2 0.91 2.19 .1842 3 0.91 2.27 .1843 1 0.91 2.04 .1844 1 0.91 2.20 .1845 1 0.91 2.10 .1846 1 0.91 1.99 .1847 1 0.91 2.09 .1848 1 0.91 2.07 .1849 1 0.91 2.00 .1850 1 0.91 2.01 .1851 1 0.91 2.09 .1852 2 0.91 2.06 .1853 3 0.91 1.98 .1854 3 0.91 2.08 .1855 3 0.91 2.01 .1856 2 0.91 2.11 .1857 2 0.91 2.02 .1858 1 0.91 1.94 .1859 1 0.91 1.99 .1860 1 0.91 2.12 .1861 1 0.91 2.12 .1862 1 0.91 1.92 .1863 2 0.91 2.08 .1864 1 0.91 1.98 .1865 2 0.91 1.95 .1866 3 0.91 2.16 .1867 1 0.91 2.02 .1868 2 0.91 2.05 .1869 3 0.91 2.07 .1870 1 0.91 1.96 .1871 1 0.91 2.08 .1872 1 0.91 1.93 .1873 3 0.91 2.15 .1874 1 0.91 2.09 .1875 1 0.91 2.11 .1876 1 0.91 2.21 .1877 1 0.91 2.13 .1878 1 0.91 2.03 .1879 2 0.91 2.09 .1880 3 0.91 2.10 .1881 1 0.91 2.17 .1882 1 0.91 2.02 .1883 1 0.91 2.14 .1884 1 0.91 2.21 .1885 1 0.91 1.99 .1886 1 0.91 2.06 .1887 1 0.91 2.06 .1888 2 0.91 2.06 .1889 2 0.91 2.11 .1890 4 0.91 2.18 .1891 3 0.91 2.13 .1892 1 0.91 2.22 .1893 1 0.91 2.16 .1894 2 0.91 2.19 .1895 3 0.91 2.36 .1896 2 0.91 2.22 .1897 2 0.91 2.05 .1898 3 0.91 2.05 .1899 1 0.91 2.14 .1900 1 0.91 2.09 .1901 3 0.91 2.28 .1902 2 0.91 2.07 .1903 2 0.91 2.14 .1904 1 0.91 2.09 .1905 1 0.91 2.15 .1906 2 0.91 1.97 .1907 1 0.91 2.01 .1908 3 0.91 2.14 .1909 5 0.91 2.59 .1910 4 0.91 2.06 .1911 1 0.91 1.95 .1912 1 0.91 1.98 .1913 1 0.91 2.02 .1914 1 0.91 2.11 .1915 1 0.91 2.04 .1916 2 0.91 2.29 .1917 2 0.91 2.04 .1918 3 0.91 1.85 .1919 5 0.91 2.06 .1920 3 0.91 2.15 .1921 1 0.91 2.04 .1922 1 0.91 1.96 .1923 2 0.91 1.82 .1924 1 0.91 1.93 .1925 1 0.91 1.94 .1926 1 0.91 1.87 .1927 3 0.91 2.10 .1928 1 0.91 1.99 .1929 3 0.91 2.13 .1930 3 0.91 2.05 .1931 3 0.91 2.10 .1932 3 0.91 2.00 .1933 3 0.91 1.90 .1934 2 0.91 2.01 .1935 1 0.91 1.87 .1936 1 0.91 1.99 .1937 2 0.91 1.97 .1938 2 0.91 2.25 .1939 4 0.91 1.85 .1940 3 0.91 2.00 .1941 3 0.91 1.76 .1942 2 0.91 1.97 .1943 2 0.91 1.99 .1944 2 0.91 1.83 .1945 1 0.91 1.94 .1946 1 0.91 1.92 .1947 1 0.91 1.82 .1948 1 0.91 1.95 .1949 1 0.91 2.08 .1950 3 0.91 2.25 .1951 1 0.91 2.16 .1952 1 0.91 1.87 .1953 1 0.91 1.99 .1954 2 0.91 1.92 .1955 1 0.91 2.10 .1956 2 0.91 2.19 .1957 3 0.91 2.09 .1958 1 0.91 2.14 .1959 2 0.91 2.15 .1960 2 0.91 2.07 .1961 1 0.91 2.08 .1962 1 0.91 2.13 .1963 1 0.91 1.96 .1964 1 0.91 2.01 .1965 5 0.91 2.01 .1966 7 0.91 1.98 .1967 1 0.91 2.19 .1968 1 0.91 1.92 .1969 1 0.91 2.12 .1970 1 0.91 1.99 .1971 1 0.91 1.99 .1972 1 0.91 1.92 .1973 1 0.91 1.96 .1974 1 0.91 2.05 .1975 2 0.91 1.87 .1976 2 0.91 1.89 .1977 2 0.91 2.11 .1978 2 0.91 2.00 .1979 1 0.91 1.94 .1980 3 0.91 1.90 .1981 1 0.91 1.98 .1982 1 0.91 1.97 .1983 1 0.91 1.97 .1984 1 0.91 1.96 .1985 1 0.91 1.96 .1986 1 0.91 2.02 .1987 3 0.91 2.04 .1988 3 0.91 2.03 .1989 3 0.91 1.93 .1990 3 0.91 2.06 .1991 2 0.91 2.18 .1992 3 0.91 2.07 .1993 4 0.91 2.11 .1994 2 0.91 2.08 .1995 1 0.91 2.01 .1996 1 0.91 2.04 .1997 1 0.91 2.10 .1998 1 0.91 1.95 .1999 1 0.91 2.05 .2000 2 0.91 1.98 .2001 1 0.91 2.01 .2002 3 0.91 2.01 .2003 1 0.91 1.97 .2004 1 0.91 2.02 .2005 3 0.91 2.00 .2006 2 0.91 2.13 .2007 1 0.91 2.00 .2008 1 0.91 1.99 .2009 1 0.91 1.96 .2010 1 0.91 1.98 .2011 1 0.91 1.96 .2012 2 0.91 1.92 .2013 3 0.91 2.07 .2014 3 0.91 2.00 .2015 2 0.91 1.99 .2016 2 0.91 2.02 .2017 1 0.91 2.01 .2018 1 0.91 1.96 .2019 1 0.91 2.06 .2020 1 0.91 2.03 .2021 1 0.91 2.02 .2022 1 0.91 2.01 .2023 1 0.91 1.89 .2024 2 0.91 1.90 .2025 1 0.91 2.11 .2026 1 0.91 1.94 .2027 3 0.91 2.08 .2028 2 0.91 2.02 .2029 1 0.91 1.93 .2030 1 0.91 1.88 .2031 2 0.91 1.90 .2032 1 0.91 2.19 .2033 1 0.91 2.04 .2034 2 0.91 1.97 .2035 1 0.91 1.95 .2036 1 0.91 2.02 .2037 1 0.91 1.98 .2038 1 0.91 2.00 .2039 2 0.91 1.98 .2040 1 0.91 2.05 .2041 2 0.91 1.98 .2042 2 0.91 2.03 .2043 4 0.91 1.89 .2044 2 0.91 1.98 .2045 1 0.91 2.02 .2046 1 0.91 2.02 .2047 1 0.91 1.93 EXTRACT_IMAGE: sdR-r1-00034675.fit: masked 1623 pixels EXTRACT_OBJECT: sdR-r1-00034675.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034675.fit: WARNING: Scattered light median = 54.0510 electrons QAPLOT_SCATLIGHT: sdR-r1-00034675.fit: WARNING: Scattered light max = 118.687 electrons EXTRACT_OBJECT: sdR-r1-00034675.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034675.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034675.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034675.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.14 Step 12 of 2112 0.58 96 0.02 0.17 Step 20 of 2112 0.58 96 0.02 0.16 Step 28 of 2112 0.58 96 0.02 0.17 Step 36 of 2112 0.58 96 0.03 0.16 Step 44 of 2112 0.58 96 0.02 0.14 Step 52 of 2112 0.59 96 0.02 0.14 Step 60 of 2112 0.59 96 0.02 0.16 Step 68 of 2112 0.59 96 0.02 0.16 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.59 96 0.02 0.15 Step 108 of 2112 0.59 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.16 Step 124 of 2112 0.60 96 0.02 0.16 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.60 96 0.03 0.16 Step 172 of 2112 0.60 96 0.02 0.17 Step 180 of 2112 0.60 96 0.02 0.17 Step 188 of 2112 0.61 96 0.02 0.16 Step 196 of 2112 0.61 96 0.02 0.16 Step 204 of 2112 0.61 96 0.02 0.16 Step 212 of 2112 0.61 96 0.02 0.15 Step 220 of 2112 0.61 96 0.02 0.17 Step 228 of 2112 0.61 96 0.02 0.16 Step 236 of 2112 0.61 96 0.02 0.16 Step 244 of 2112 0.61 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.17 Step 260 of 2112 0.62 96 0.02 0.16 Step 268 of 2112 0.62 96 0.02 0.16 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.18 Step 300 of 2112 0.62 96 0.03 0.19 Step 308 of 2112 0.62 96 0.03 0.19 Step 316 of 2112 0.63 96 0.03 0.18 Step 324 of 2112 0.63 96 0.02 0.17 Step 332 of 2112 0.63 96 0.02 0.18 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.17 Step 356 of 2112 0.63 96 0.02 0.17 Step 364 of 2112 0.63 96 0.02 0.16 Step 372 of 2112 0.63 96 0.02 0.16 Step 380 of 2112 0.64 96 0.02 0.17 Step 388 of 2112 0.64 96 0.02 0.19 Step 396 of 2112 0.64 96 0.02 0.19 Step 404 of 2112 0.64 96 0.02 0.19 Step 412 of 2112 0.64 96 0.02 0.18 Step 420 of 2112 0.64 96 0.03 0.18 Step 428 of 2112 0.64 96 0.02 0.17 Step 436 of 2112 0.64 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.14 Step 452 of 2112 0.65 96 0.03 0.14 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.17 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.02 0.21 Step 492 of 2112 0.65 128 0.03 0.21 Step 500 of 2112 0.65 128 0.03 0.21 Step 508 of 2112 0.66 128 0.02 0.23 Step 516 of 2112 0.66 128 0.03 0.21 Step 524 of 2112 0.66 128 0.03 0.21 Step 532 of 2112 0.66 128 0.02 0.23 Step 540 of 2112 0.66 128 0.03 0.23 Step 548 of 2112 0.66 128 0.04 0.25 Step 556 of 2112 0.66 128 0.03 0.23 Step 564 of 2112 0.66 128 0.02 0.23 Step 572 of 2112 0.67 128 0.02 0.21 Step 580 of 2112 0.67 128 0.01 0.22 Step 588 of 2112 0.67 128 0.03 0.25 Step 596 of 2112 0.67 128 0.04 0.24 Step 604 of 2112 0.67 128 0.03 0.24 Step 612 of 2112 0.67 128 0.02 0.23 Step 620 of 2112 0.67 128 0.02 0.23 Step 628 of 2112 0.68 128 0.02 0.23 Step 636 of 2112 0.68 128 0.02 0.23 Step 644 of 2112 0.68 128 0.02 0.21 Step 652 of 2112 0.68 128 0.02 0.21 Step 660 of 2112 0.68 128 0.02 0.24 Step 668 of 2112 0.68 128 0.03 0.22 Step 676 of 2112 0.68 128 0.03 0.24 Step 684 of 2112 0.68 128 0.03 0.22 Step 692 of 2112 0.69 128 0.02 0.22 Step 700 of 2112 0.69 128 0.02 0.25 Step 708 of 2112 0.69 128 0.03 0.21 Step 716 of 2112 0.69 128 0.03 0.21 Step 724 of 2112 0.69 128 0.03 0.21 Step 732 of 2112 0.69 128 0.02 0.21 Step 740 of 2112 0.69 128 0.03 0.23 Step 748 of 2112 0.69 128 0.03 0.23 Step 756 of 2112 0.70 128 0.03 0.22 Step 764 of 2112 0.70 128 0.03 0.20 Step 772 of 2112 0.70 128 0.03 0.22 Step 780 of 2112 0.70 128 0.02 0.23 Step 788 of 2112 0.70 128 0.02 0.22 Step 796 of 2112 0.70 128 0.02 0.23 Step 804 of 2112 0.70 128 0.02 0.21 Step 812 of 2112 0.71 128 0.02 0.21 Step 820 of 2112 0.71 128 0.02 0.23 Step 828 of 2112 0.71 128 0.02 0.23 Step 836 of 2112 0.71 128 0.03 0.23 Step 844 of 2112 0.71 128 0.02 0.21 Step 852 of 2112 0.71 128 0.02 0.22 Step 860 of 2112 0.71 128 0.02 0.20 Step 868 of 2112 0.71 128 0.02 0.20 Step 876 of 2112 0.72 128 0.02 0.22 Step 884 of 2112 0.72 128 0.02 0.21 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.02 0.22 Step 908 of 2112 0.72 128 0.03 0.22 Step 916 of 2112 0.72 128 0.02 0.23 Step 924 of 2112 0.72 128 0.02 0.23 Step 932 of 2112 0.72 128 0.02 0.22 Step 940 of 2112 0.73 128 0.02 0.20 Step 948 of 2112 0.73 128 0.02 0.22 Step 956 of 2112 0.73 128 0.01 0.21 Step 964 of 2112 0.73 128 0.01 0.22 Step 972 of 2112 0.73 128 0.02 0.21 Step 980 of 2112 0.73 160 0.02 0.33 Step 988 of 2112 0.73 160 0.02 0.34 Step 996 of 2112 0.74 160 0.03 0.34 Step 1004 of 2112 0.74 160 0.03 0.33 Step 1012 of 2112 0.74 160 0.03 0.36 Step 1020 of 2112 0.74 160 0.04 0.34 Step 1028 of 2112 0.74 160 0.03 0.35 Step 1036 of 2112 0.74 160 0.03 0.34 Step 1044 of 2112 0.74 160 0.03 0.35 Step 1052 of 2112 0.75 160 0.02 0.33 Step 1060 of 2112 0.75 160 0.03 0.33 Step 1068 of 2112 0.75 160 0.03 0.33 Step 1076 of 2112 0.75 160 0.03 0.35 Step 1084 of 2112 0.75 160 0.03 0.35 Step 1092 of 2112 0.75 160 0.02 0.33 Step 1100 of 2112 0.75 160 0.03 0.38 Step 1108 of 2112 0.75 160 0.03 0.34 Step 1116 of 2112 0.76 160 0.03 0.33 Step 1124 of 2112 0.76 160 0.03 0.33 Step 1132 of 2112 0.76 160 0.03 0.35 Step 1140 of 2112 0.76 160 0.03 0.35 Step 1148 of 2112 0.76 160 0.03 0.34 Step 1156 of 2112 0.76 160 0.03 0.35 Step 1164 of 2112 0.76 160 0.03 0.35 Step 1172 of 2112 0.77 160 0.03 0.35 Step 1180 of 2112 0.77 160 0.03 0.35 Step 1188 of 2112 0.77 160 0.03 0.34 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.03 0.32 Step 1212 of 2112 0.77 160 0.03 0.33 Step 1220 of 2112 0.77 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.32 Step 1244 of 2112 0.78 160 0.04 0.34 Step 1252 of 2112 0.78 160 0.05 0.35 Step 1260 of 2112 0.78 160 0.05 0.35 Step 1268 of 2112 0.78 160 0.04 0.33 Step 1276 of 2112 0.78 160 0.03 0.33 Step 1284 of 2112 0.78 160 0.03 0.34 Step 1292 of 2112 0.79 160 0.03 0.32 Step 1300 of 2112 0.79 160 0.03 0.33 Step 1308 of 2112 0.79 160 0.03 0.35 Step 1316 of 2112 0.79 160 0.03 0.35 Step 1324 of 2112 0.79 160 0.04 0.35 Step 1332 of 2112 0.79 160 0.03 0.34 Step 1340 of 2112 0.79 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.04 0.35 Step 1356 of 2112 0.80 160 0.03 0.35 Step 1364 of 2112 0.80 192 0.03 0.38 Step 1372 of 2112 0.80 192 0.04 0.38 Step 1380 of 2112 0.80 192 0.04 0.39 Step 1388 of 2112 0.80 192 0.04 0.37 Step 1396 of 2112 0.80 192 0.04 0.37 Step 1404 of 2112 0.81 192 0.03 0.38 Step 1412 of 2112 0.81 192 0.04 0.37 Step 1420 of 2112 0.81 192 0.03 0.39 Step 1428 of 2112 0.81 192 0.03 0.40 Step 1436 of 2112 0.81 192 0.04 0.42 Step 1444 of 2112 0.81 192 0.04 0.40 Step 1452 of 2112 0.81 192 0.02 0.38 Step 1460 of 2112 0.82 192 0.04 0.38 Step 1468 of 2112 0.82 192 0.05 0.40 Step 1476 of 2112 0.82 192 0.05 0.39 Step 1484 of 2112 0.82 192 0.04 0.39 Step 1492 of 2112 0.82 192 0.04 0.40 Step 1500 of 2112 0.82 192 0.04 0.41 Step 1508 of 2112 0.82 192 0.04 0.37 Step 1516 of 2112 0.83 192 0.04 0.38 Step 1524 of 2112 0.83 192 0.04 0.40 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.04 0.38 Step 1548 of 2112 0.83 192 0.04 0.37 Step 1556 of 2112 0.83 192 0.04 0.38 Step 1564 of 2112 0.83 192 0.04 0.37 Step 1572 of 2112 0.84 192 0.04 0.40 Step 1580 of 2112 0.84 192 0.03 0.37 Step 1588 of 2112 0.84 192 0.04 0.40 Step 1596 of 2112 0.84 192 0.04 0.39 Step 1604 of 2112 0.84 192 0.03 0.39 Step 1612 of 2112 0.84 192 0.04 0.39 Step 1620 of 2112 0.84 192 0.04 0.41 Step 1628 of 2112 0.84 192 0.03 0.41 Step 1636 of 2112 0.85 192 0.04 0.41 Step 1644 of 2112 0.85 192 0.04 0.39 Step 1652 of 2112 0.85 192 0.04 0.40 Step 1660 of 2112 0.85 192 0.05 0.38 Step 1668 of 2112 0.85 192 0.04 0.37 Step 1676 of 2112 0.85 192 0.04 0.39 Step 1684 of 2112 0.85 192 0.04 0.39 Step 1692 of 2112 0.86 224 0.05 0.49 Step 1700 of 2112 0.86 224 0.05 0.49 Step 1708 of 2112 0.86 224 0.05 0.47 Step 1716 of 2112 0.86 224 0.04 0.47 Step 1724 of 2112 0.86 224 0.04 0.49 Step 1732 of 2112 0.86 224 0.04 0.49 Step 1740 of 2112 0.86 224 0.04 0.48 Step 1748 of 2112 0.87 224 0.04 0.47 Step 1756 of 2112 0.87 224 0.04 0.48 Step 1764 of 2112 0.87 224 0.05 0.47 Step 1772 of 2112 0.87 224 0.05 0.49 Step 1780 of 2112 0.87 224 0.06 0.50 Step 1788 of 2112 0.87 224 0.04 0.50 Step 1796 of 2112 0.87 224 0.04 0.50 Step 1804 of 2112 0.88 224 0.04 0.49 Step 1812 of 2112 0.88 224 0.05 0.51 Step 1820 of 2112 0.88 224 0.05 0.48 Step 1828 of 2112 0.88 224 0.05 0.47 Step 1836 of 2112 0.88 224 0.05 0.46 Step 1844 of 2112 0.88 224 0.06 0.48 Step 1852 of 2112 0.88 224 0.06 0.49 Step 1860 of 2112 0.89 224 0.05 0.50 Step 1868 of 2112 0.89 224 0.04 0.52 Step 1876 of 2112 0.89 224 0.03 0.50 Step 1884 of 2112 0.89 224 0.03 0.50 Step 1892 of 2112 0.89 224 0.03 0.49 Step 1900 of 2112 0.89 224 0.03 0.50 Step 1908 of 2112 0.89 224 0.06 0.54 Step 1916 of 2112 0.90 224 0.04 0.50 Step 1924 of 2112 0.90 224 0.04 0.51 Step 1932 of 2112 0.90 224 0.04 0.52 Step 1940 of 2112 0.90 224 0.05 0.52 Step 1948 of 2112 0.90 224 0.05 0.48 Step 1956 of 2112 0.90 224 0.04 0.47 Step 1964 of 2112 0.90 256 0.05 0.52 Step 1972 of 2112 0.91 256 0.05 0.53 Step 1980 of 2112 0.91 256 0.06 0.53 Step 1988 of 2112 0.91 256 0.06 0.51 Step 1996 of 2112 0.91 256 0.05 0.52 Step 2004 of 2112 0.91 256 0.05 0.50 Step 2012 of 2112 0.91 256 0.06 0.54 Step 2020 of 2112 0.91 256 0.06 0.50 Step 2028 of 2112 0.92 256 0.06 0.57 Step 2036 of 2112 0.92 256 0.05 0.50 Step 2044 of 2112 0.92 256 0.06 0.51 Step 2052 of 2112 0.92 256 0.03 0.50 Step 2060 of 2112 0.92 256 0.04 0.52 Step 2068 of 2112 0.92 256 0.05 0.54 Step 2076 of 2112 0.92 256 0.05 0.54 Step 2084 of 2112 0.93 256 0.05 0.51 Step 2092 of 2112 0.93 256 0.05 0.54 Step 2100 of 2112 0.93 256 0.06 0.52 Step 2108 of 2112 0.93 256 0.05 0.53 EXTRACT_OBJECT: sdR-r1-00034675.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 2 0.98 1.21 .0001 3 0.98 1.20 .0002 1 0.97 1.17 .0003 1 0.97 1.21 .0004 2 0.97 1.24 .0005 2 0.97 1.27 .0006 3 0.97 1.21 .0007 2 0.97 1.21 .0008 2 0.97 1.37 .0009 2 0.97 1.25 .0010 2 0.97 1.38 .0011 1 0.97 1.23 .0012 1 0.97 1.14 .0013 1 0.97 1.33 .0014 2 0.97 1.27 .0015 1 0.97 1.22 .0016 2 0.97 1.30 .0017 1 0.97 1.21 .0018 3 0.97 1.22 .0019 3 0.97 1.30 .0020 2 0.97 1.22 .0021 1 0.97 1.25 .0022 1 0.97 1.33 .0023 2 0.97 1.39 .0024 2 0.97 1.30 .0025 1 0.97 1.31 .0026 1 0.97 1.31 .0027 1 0.97 1.35 .0028 2 0.97 1.35 .0029 3 0.97 1.31 .0030 1 0.97 1.51 .0031 3 0.97 1.34 .0032 3 0.97 1.49 .0033 2 0.97 1.35 .0034 1 0.97 1.29 .0035 2 0.97 1.46 .0036 1 0.97 1.33 .0037 2 0.97 1.42 .0038 2 0.97 1.50 .0039 3 0.97 1.56 .0040 6 0.97 1.38 .0041 3 0.97 1.42 .0042 2 0.97 1.43 .0043 1 0.97 1.50 .0044 1 0.97 1.35 .0045 1 0.97 1.49 .0046 2 0.97 1.51 .0047 1 0.97 1.41 .0048 1 0.97 1.41 .0049 1 0.97 1.48 .0050 1 0.97 1.36 .0051 3 0.97 1.48 .0052 3 0.97 1.48 .0053 1 0.97 1.41 .0054 1 0.97 1.51 .0055 1 0.97 1.52 .0056 1 0.97 1.57 .0057 2 0.97 1.42 .0058 1 0.97 1.45 .0059 1 0.97 1.50 .0060 2 0.97 1.53 .0061 2 0.96 1.51 .0062 1 0.96 1.41 .0063 5 0.96 1.53 .0064 3 0.96 1.58 .0065 1 0.96 1.43 .0066 1 0.96 1.55 .0067 2 0.96 1.51 .0068 1 0.96 1.78 .0069 1 0.96 1.50 .0070 1 0.96 1.53 .0071 1 0.96 1.54 .0072 3 0.96 1.64 .0073 3 0.96 1.61 .0074 3 0.96 1.67 .0075 1 0.96 1.63 .0076 1 0.96 1.57 .0077 2 0.96 1.54 .0078 1 0.96 1.63 .0079 1 0.96 1.63 .0080 1 0.96 1.58 .0081 1 0.96 1.65 .0082 2 0.96 1.62 .0083 2 0.96 1.64 .0084 1 0.96 1.54 .0085 1 0.96 1.66 .0086 1 0.96 1.71 .0087 3 0.96 1.62 .0088 3 0.96 1.57 .0089 1 0.96 1.77 .0090 1 0.96 1.70 .0091 1 0.96 1.62 .0092 1 0.96 1.63 .0093 1 0.96 1.60 .0094 1 0.96 1.68 .0095 2 0.96 1.72 .0096 3 0.96 1.61 .0097 1 0.96 1.61 .0098 1 0.96 1.62 .0099 1 0.96 1.56 .0100 1 0.96 1.59 .0101 1 0.96 1.64 .0102 1 0.96 1.60 .0103 1 0.96 1.56 .0104 1 0.96 1.58 .0105 3 0.96 1.67 .0106 2 0.96 1.73 .0107 1 0.96 1.66 .0108 2 0.96 1.65 .0109 2 0.96 1.75 .0110 2 0.96 1.71 .0111 1 0.96 1.52 .0112 1 0.96 1.65 .0113 1 0.96 1.76 .0114 1 0.96 1.57 .0115 1 0.96 1.65 .0116 1 0.96 1.69 .0117 1 0.96 1.54 .0118 1 0.96 1.74 .0119 1 0.96 1.58 .0120 2 0.96 1.69 .0121 3 0.96 1.63 .0122 1 0.96 1.64 .0123 2 0.96 1.57 .0124 1 0.96 1.58 .0125 3 0.96 1.65 .0126 2 0.96 1.75 .0127 3 0.96 1.64 .0128 4 0.96 1.63 .0129 1 0.95 1.60 .0130 2 0.95 1.68 .0131 2 0.95 1.61 .0132 1 0.95 1.57 .0133 2 0.95 1.68 .0134 2 0.95 1.63 .0135 2 0.95 1.55 .0136 3 0.95 1.66 .0137 1 0.95 1.53 .0138 2 0.95 1.64 .0139 3 0.95 1.56 .0140 3 0.95 1.55 .0141 3 0.95 1.55 .0142 2 0.95 1.83 .0143 1 0.95 1.53 .0144 1 0.95 1.48 .0145 2 0.95 1.59 .0146 2 0.95 1.62 .0147 2 0.95 1.56 .0148 1 0.95 1.68 .0149 1 0.95 1.64 .0150 1 0.95 1.58 .0151 1 0.95 1.58 .0152 1 0.95 1.63 .0153 1 0.95 1.61 .0154 1 0.95 1.69 .0155 3 0.95 1.65 .0156 1 0.95 1.58 .0157 1 0.95 1.61 .0158 1 0.95 1.49 .0159 1 0.95 1.56 .0160 1 0.95 1.54 .0161 2 0.95 1.55 .0162 1 0.95 1.49 .0163 1 0.95 1.64 .0164 3 0.95 1.56 .0165 2 0.95 1.60 .0166 1 0.95 1.63 .0167 2 0.95 1.61 .0168 3 0.95 1.56 .0169 1 0.95 1.66 .0170 3 0.95 1.64 .0171 1 0.95 1.61 .0172 1 0.95 1.51 .0173 2 0.95 1.66 .0174 2 0.95 1.65 .0175 1 0.95 1.66 .0176 1 0.95 1.63 .0177 3 0.95 1.58 .0178 2 0.95 1.69 .0179 1 0.95 1.56 .0180 1 0.95 1.56 .0181 2 0.95 1.69 .0182 1 0.95 1.54 .0183 1 0.95 1.66 .0184 1 0.95 1.67 .0185 2 0.95 1.54 .0186 3 0.95 1.56 .0187 3 0.95 1.71 .0188 3 0.95 1.72 .0189 1 0.95 1.70 .0190 1 0.95 1.68 .0191 1 0.95 1.59 .0192 2 0.95 1.70 .0193 3 0.95 1.78 .0194 3 0.95 1.70 .0195 1 0.95 1.60 .0196 2 0.95 1.66 .0197 1 0.95 1.58 .0198 1 0.95 1.67 .0199 1 0.95 1.61 .0200 1 0.95 1.70 .0201 1 0.95 1.69 .0202 2 0.95 1.71 .0203 2 0.95 1.87 .0204 1 0.95 1.71 .0205 1 0.95 1.72 .0206 1 0.95 1.82 .0207 1 0.95 1.75 .0208 2 0.95 1.83 .0209 1 0.94 1.79 .0210 1 0.94 1.75 .0211 3 0.94 1.74 .0212 4 0.94 1.85 .0213 3 0.94 1.68 .0214 2 0.94 1.88 .0215 1 0.94 1.81 .0216 1 0.94 1.91 .0217 1 0.94 1.82 .0218 2 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1.51 .1535 3 0.92 1.62 .1536 4 0.92 1.56 .1537 2 0.92 1.62 .1538 2 0.92 1.54 .1539 1 0.92 1.66 .1540 1 0.92 1.47 .1541 1 0.92 1.51 .1542 1 0.92 1.56 .1543 1 0.92 1.59 .1544 1 0.92 1.60 .1545 1 0.92 1.58 .1546 2 0.92 1.61 .1547 5 0.92 1.53 .1548 1 0.92 1.61 .1549 2 0.92 1.54 .1550 1 0.92 1.56 .1551 2 0.92 1.54 .1552 3 0.92 1.56 .1553 1 0.92 1.59 .1554 1 0.92 1.49 .1555 2 0.92 1.55 .1556 3 0.92 1.52 .1557 5 0.92 1.49 .1558 2 0.92 1.66 .1559 3 0.92 1.69 .1560 2 0.92 1.50 .1561 1 0.92 1.55 .1562 3 0.92 1.56 .1563 1 0.92 1.54 .1564 2 0.92 1.61 .1565 1 0.92 1.50 .1566 1 0.92 1.58 .1567 1 0.92 1.59 .1568 2 0.92 1.61 .1569 1 0.92 1.81 .1570 1 0.92 1.69 .1571 1 0.92 1.75 .1572 2 0.92 1.55 .1573 2 0.92 1.63 .1574 3 0.92 1.54 .1575 1 0.92 1.52 .1576 1 0.92 1.61 .1577 2 0.92 1.53 .1578 2 0.92 1.64 .1579 2 0.92 1.53 .1580 1 0.92 1.58 .1581 1 0.92 1.69 .1582 1 0.92 1.49 .1583 1 0.92 1.58 .1584 1 0.92 1.64 .1585 2 0.92 1.53 .1586 2 0.92 1.61 .1587 5 0.92 1.54 .1588 1 0.92 1.56 .1589 1 0.92 1.54 .1590 1 0.92 1.53 .1591 1 0.92 1.56 .1592 1 0.92 1.60 .1593 1 0.92 1.60 .1594 1 0.92 1.63 .1595 3 0.92 1.53 .1596 1 0.92 1.49 .1597 1 0.92 1.61 .1598 1 0.92 1.55 .1599 1 0.92 1.63 .1600 2 0.92 1.73 .1601 3 0.92 1.75 .1602 3 0.92 1.68 .1603 1 0.92 1.60 .1604 1 0.92 1.64 .1605 1 0.92 1.58 .1606 1 0.92 1.54 .1607 2 0.92 1.58 .1608 3 0.92 1.52 .1609 3 0.92 1.57 .1610 2 0.92 1.61 .1611 2 0.92 1.60 .1612 3 0.92 1.67 .1613 2 0.92 1.57 .1614 3 0.92 1.53 .1615 2 0.92 1.59 .1616 2 0.92 1.48 .1617 2 0.92 1.70 .1618 3 0.92 1.69 .1619 3 0.92 1.74 .1620 2 0.92 1.71 .1621 2 0.92 1.54 .1622 2 0.92 1.63 .1623 2 0.92 1.58 .1624 2 0.92 1.55 .1625 4 0.92 1.55 .1626 3 0.92 1.53 .1627 1 0.92 1.50 .1628 1 0.92 1.47 .1629 3 0.92 1.47 .1630 2 0.92 1.56 .1631 2 0.92 1.55 .1632 1 0.92 1.62 .1633 2 0.92 1.60 .1634 2 0.92 1.48 .1635 2 0.92 1.52 .1636 2 0.92 1.55 .1637 2 0.92 1.63 .1638 3 0.92 1.64 .1639 1 0.92 1.60 .1640 1 0.92 1.55 .1641 1 0.92 1.58 .1642 3 0.92 1.55 .1643 2 0.92 1.57 .1644 2 0.92 1.51 .1645 1 0.92 1.47 .1646 1 0.92 1.54 .1647 2 0.92 1.56 .1648 1 0.92 1.56 .1649 1 0.92 1.53 .1650 1 0.92 1.57 .1651 1 0.92 1.56 .1652 1 0.92 1.49 .1653 1 0.92 1.55 .1654 2 0.92 1.60 .1655 2 0.92 1.57 .1656 1 0.92 1.57 .1657 1 0.92 1.47 .1658 1 0.92 1.46 .1659 1 0.92 1.54 .1660 3 0.92 1.49 .1661 4 0.92 1.64 .1662 1 0.92 1.55 .1663 2 0.92 1.48 .1664 1 0.92 1.57 .1665 1 0.92 1.55 .1666 1 0.92 1.54 .1667 3 0.92 1.50 .1668 3 0.92 1.57 .1669 1 0.92 1.51 .1670 4 0.92 1.60 .1671 3 0.92 1.48 .1672 2 0.92 1.42 .1673 3 0.92 1.54 .1674 1 0.92 1.51 .1675 2 0.92 1.54 .1676 3 0.92 1.42 .1677 1 0.92 1.45 .1678 2 0.92 1.55 .1679 3 0.92 1.54 .1680 3 0.92 1.49 .1681 3 0.92 1.57 .1682 3 0.92 1.48 .1683 2 0.92 1.48 .1684 4 0.92 1.56 .1685 2 0.92 1.55 .1686 2 0.92 1.52 .1687 2 0.92 1.50 .1688 5 0.92 1.47 .1689 3 0.92 1.55 .1690 1 0.92 1.63 .1691 3 0.92 1.48 .1692 1 0.92 1.50 .1693 1 0.92 1.47 .1694 1 0.92 1.55 .1695 1 0.92 1.48 .1696 2 0.92 1.45 .1697 3 0.92 1.52 .1698 1 0.92 1.51 .1699 1 0.92 1.43 .1700 1 0.92 1.51 .1701 3 0.92 1.55 .1702 1 0.92 1.47 .1703 2 0.92 1.50 .1704 1 0.92 1.44 .1705 2 0.92 1.44 .1706 4 0.92 1.46 .1707 4 0.92 1.47 .1708 4 0.92 1.51 .1709 3 0.92 1.49 .1710 1 0.92 1.54 .1711 1 0.92 1.48 .1712 1 0.92 1.47 .1713 1 0.92 1.46 .1714 1 0.92 1.51 .1715 1 0.92 1.46 .1716 3 0.92 1.48 .1717 1 0.92 1.45 .1718 1 0.92 1.47 .1719 1 0.92 1.47 .1720 1 0.92 1.50 .1721 1 0.92 1.52 .1722 1 0.92 1.47 .1723 1 0.92 1.52 .1724 1 0.92 1.50 .1725 1 0.92 1.45 .1726 1 0.92 1.49 .1727 1 0.92 1.50 .1728 1 0.92 1.55 .1729 1 0.92 1.54 .1730 1 0.92 1.41 .1731 1 0.92 1.42 .1732 2 0.92 1.53 .1733 2 0.92 1.59 .1734 1 0.92 1.51 .1735 2 0.92 1.46 .1736 1 0.92 1.41 .1737 3 0.92 1.38 .1738 1 0.92 1.54 .1739 2 0.92 1.49 .1740 1 0.92 1.44 .1741 2 0.92 1.45 .1742 2 0.92 1.44 .1743 1 0.92 1.42 .1744 1 0.92 1.53 .1745 3 0.92 1.44 .1746 4 0.92 1.60 .1747 1 0.92 1.37 .1748 1 0.92 1.37 .1749 1 0.92 1.42 .1750 1 0.92 1.51 .1751 1 0.92 1.45 .1752 2 0.92 1.43 .1753 2 0.92 1.35 .1754 1 0.92 1.58 .1755 1 0.92 1.45 .1756 1 0.92 1.50 .1757 1 0.92 1.45 .1758 1 0.92 1.43 .1759 3 0.92 1.47 .1760 1 0.92 1.46 .1761 1 0.92 1.40 .1762 3 0.92 1.58 .1763 3 0.92 1.46 .1764 3 0.92 1.51 .1765 3 0.92 1.52 .1766 3 0.92 1.50 .1767 3 0.92 1.45 .1768 3 0.92 1.48 .1769 2 0.92 1.51 .1770 2 0.92 1.43 .1771 3 0.92 1.47 .1772 1 0.92 1.54 .1773 3 0.92 1.48 .1774 1 0.92 1.48 .1775 1 0.92 1.48 .1776 2 0.92 1.42 .1777 2 0.92 1.44 .1778 1 0.92 1.45 .1779 1 0.92 1.41 .1780 1 0.92 1.46 .1781 2 0.92 1.48 .1782 1 0.92 1.45 .1783 2 0.92 1.46 .1784 2 0.92 1.43 .1785 1 0.92 1.54 .1786 1 0.92 1.48 .1787 1 0.92 1.55 .1788 1 0.92 1.44 .1789 1 0.92 1.53 .1790 2 0.92 1.49 .1791 3 0.92 1.58 .1792 3 0.92 1.48 .1793 2 0.92 1.48 .1794 2 0.92 1.46 .1795 4 0.92 1.51 .1796 1 0.92 1.55 .1797 1 0.92 1.45 .1798 1 0.92 1.47 .1799 1 0.92 1.48 .1800 2 0.92 1.39 .1801 2 0.92 1.48 .1802 1 0.92 1.51 .1803 3 0.92 1.64 .1804 2 0.91 1.56 .1805 3 0.91 1.51 .1806 1 0.91 1.50 .1807 1 0.91 1.53 .1808 2 0.91 1.56 .1809 3 0.91 1.62 .1810 3 0.91 1.45 .1811 1 0.91 1.53 .1812 1 0.91 1.42 .1813 2 0.91 1.47 .1814 4 0.91 1.50 .1815 2 0.91 1.50 .1816 3 0.91 1.53 .1817 1 0.91 1.55 .1818 1 0.91 1.54 .1819 2 0.91 1.43 .1820 3 0.91 1.39 .1821 2 0.91 1.42 .1822 1 0.91 1.41 .1823 1 0.91 1.53 .1824 3 0.91 1.43 .1825 3 0.91 1.54 .1826 2 0.91 1.55 .1827 1 0.91 1.64 .1828 3 0.91 1.44 .1829 4 0.91 1.66 .1830 4 0.91 1.47 .1831 1 0.91 1.48 .1832 2 0.91 1.58 .1833 1 0.91 1.52 .1834 2 0.91 1.55 .1835 1 0.91 1.69 .1836 3 0.91 1.52 .1837 2 0.91 1.54 .1838 2 0.91 1.58 .1839 2 0.91 1.53 .1840 1 0.91 1.54 .1841 3 0.91 1.66 .1842 3 0.91 1.92 .1843 1 0.91 1.70 .1844 1 0.91 1.79 .1845 1 0.91 1.57 .1846 1 0.91 1.44 .1847 1 0.91 1.53 .1848 1 0.91 1.54 .1849 1 0.91 1.51 .1850 1 0.91 1.45 .1851 1 0.91 1.47 .1852 3 0.91 1.41 .1853 3 0.91 1.43 .1854 3 0.91 1.50 .1855 4 0.91 1.45 .1856 2 0.91 1.46 .1857 2 0.91 1.43 .1858 1 0.91 1.45 .1859 1 0.91 1.51 .1860 1 0.91 1.53 .1861 1 0.91 1.55 .1862 1 0.91 1.39 .1863 3 0.91 1.39 .1864 1 0.91 1.52 .1865 2 0.91 1.50 .1866 4 0.91 1.51 .1867 1 0.91 1.52 .1868 3 0.91 1.58 .1869 3 0.91 1.57 .1870 1 0.91 1.51 .1871 1 0.91 1.54 .1872 1 0.91 1.51 .1873 3 0.91 1.62 .1874 1 0.91 1.61 .1875 1 0.91 1.77 .1876 1 0.91 1.71 .1877 1 0.91 1.59 .1878 1 0.91 1.59 .1879 2 0.91 1.61 .1880 2 0.91 1.58 .1881 2 0.91 1.47 .1882 1 0.91 1.45 .1883 1 0.91 1.53 .1884 2 0.91 1.58 .1885 1 0.91 1.45 .1886 1 0.91 1.51 .1887 1 0.91 1.54 .1888 2 0.91 1.52 .1889 2 0.91 1.64 .1890 3 0.91 1.56 .1891 2 0.91 1.62 .1892 1 0.91 1.68 .1893 1 0.91 1.62 .1894 2 0.91 1.80 .1895 4 0.91 1.78 .1896 2 0.91 1.65 .1897 2 0.91 1.59 .1898 3 0.91 1.47 .1899 1 0.91 1.54 .1900 1 0.91 1.48 .1901 4 0.91 1.60 .1902 2 0.91 1.54 .1903 2 0.91 1.59 .1904 1 0.91 1.49 .1905 2 0.91 1.49 .1906 2 0.91 1.50 .1907 1 0.91 1.54 .1908 3 0.91 1.52 .1909 5 0.91 1.61 .1910 4 0.91 1.50 .1911 1 0.91 1.46 .1912 1 0.91 1.48 .1913 2 0.91 1.40 .1914 1 0.91 1.51 .1915 1 0.91 1.60 .1916 4 0.91 1.61 .1917 2 0.91 1.55 .1918 3 0.91 1.37 .1919 3 0.91 1.49 .1920 3 0.91 1.52 .1921 1 0.91 1.46 .1922 2 0.91 1.36 .1923 3 0.91 1.40 .1924 1 0.91 1.45 .1925 1 0.91 1.48 .1926 1 0.91 1.38 .1927 3 0.91 1.50 .1928 2 0.91 1.42 .1929 3 0.91 1.54 .1930 3 0.91 1.50 .1931 3 0.91 1.49 .1932 3 0.91 1.50 .1933 3 0.91 1.41 .1934 2 0.91 1.47 .1935 1 0.91 1.42 .1936 1 0.91 1.49 .1937 3 0.91 1.42 .1938 3 0.91 1.49 .1939 3 0.91 1.42 .1940 4 0.91 1.53 .1941 3 0.91 1.31 .1942 3 0.91 1.41 .1943 2 0.91 1.45 .1944 2 0.91 1.41 .1945 1 0.91 1.43 .1946 1 0.91 1.42 .1947 1 0.91 1.36 .1948 1 0.91 1.41 .1949 2 0.91 1.51 .1950 3 0.91 1.54 .1951 2 0.91 1.46 .1952 1 0.91 1.36 .1953 1 0.91 1.43 .1954 2 0.91 1.42 .1955 1 0.91 1.53 .1956 3 0.91 1.44 .1957 3 0.91 1.52 .1958 1 0.91 1.48 .1959 2 0.91 1.53 .1960 2 0.91 1.46 .1961 2 0.91 1.50 .1962 2 0.91 1.46 .1963 1 0.91 1.40 .1964 2 0.91 1.40 .1965 5 0.91 1.41 .1966 7 0.91 1.47 .1967 1 0.91 1.56 .1968 1 0.91 1.46 .1969 1 0.91 1.56 .1970 1 0.91 1.44 .1971 1 0.91 1.41 .1972 1 0.91 1.35 .1973 1 0.91 1.44 .1974 2 0.91 1.41 .1975 3 0.91 1.35 .1976 2 0.91 1.42 .1977 3 0.91 1.49 .1978 2 0.91 1.45 .1979 1 0.91 1.41 .1980 3 0.91 1.42 .1981 2 0.91 1.44 .1982 1 0.91 1.45 .1983 1 0.91 1.44 .1984 1 0.91 1.42 .1985 1 0.91 1.39 .1986 2 0.91 1.43 .1987 3 0.91 1.45 .1988 3 0.91 1.45 .1989 3 0.91 1.40 .1990 3 0.91 1.52 .1991 4 0.91 1.53 .1992 4 0.91 1.46 .1993 4 0.91 1.43 .1994 3 0.91 1.43 .1995 1 0.91 1.47 .1996 1 0.91 1.43 .1997 2 0.91 1.41 .1998 1 0.91 1.43 .1999 2 0.91 1.41 .2000 4 0.91 1.42 .2001 1 0.91 1.41 .2002 3 0.91 1.43 .2003 1 0.91 1.41 .2004 2 0.91 1.41 .2005 4 0.91 1.34 .2006 2 0.91 1.50 .2007 1 0.91 1.39 .2008 2 0.91 1.39 .2009 1 0.91 1.44 .2010 1 0.91 1.43 .2011 1 0.91 1.45 .2012 2 0.91 1.34 .2013 3 0.91 1.49 .2014 4 0.91 1.44 .2015 3 0.91 1.41 .2016 3 0.91 1.41 .2017 1 0.91 1.45 .2018 1 0.91 1.45 .2019 1 0.91 1.47 .2020 1 0.91 1.47 .2021 1 0.91 1.49 .2022 2 0.91 1.46 .2023 1 0.91 1.39 .2024 3 0.91 1.38 .2025 2 0.91 1.41 .2026 1 0.91 1.43 .2027 2 0.91 1.56 .2028 2 0.91 1.51 .2029 1 0.91 1.36 .2030 1 0.91 1.36 .2031 2 0.91 1.37 .2032 2 0.91 1.52 .2033 1 0.91 1.44 .2034 2 0.91 1.39 .2035 1 0.91 1.41 .2036 2 0.91 1.40 .2037 1 0.91 1.46 .2038 1 0.91 1.43 .2039 2 0.91 1.44 .2040 3 0.91 1.39 .2041 5 0.91 1.44 .2042 3 0.91 1.40 .2043 5 0.91 1.41 .2044 2 0.91 1.45 .2045 1 0.91 1.47 .2046 1 0.91 1.51 .2047 1 0.91 1.45 EXTRACT_IMAGE: sdR-r1-00034675.fit: masked 2355 pixels DIVIDEFLAT: sdR-r1-00034675.fit: Warning: Reject 241 low points in trace 45 DIVIDEFLAT: sdR-r1-00034675.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034675.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034675.fit: Warning: Reject 529 low points in trace 173 DIVIDEFLAT: sdR-r1-00034675.fit: Warning: Reject 668 low points in trace 174 DIVIDEFLAT: sdR-r1-00034675.fit: Warning: Reject 1061 low points in trace 249 DIVIDEFLAT: sdR-r1-00034675.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034675.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034675.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034675.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034675.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034675.fit: sky shift reference line, offset: 7794.1200 -0.038105860 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 8 11.939283 301.25042 0.081000796 0.93885662 1013.0188 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 17 9.9384658 263.91566 0.017723391 0.96301122 1046.8329 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 28 6.3552663 281.94966 0.056434896 0.90054020 1051.1548 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 32 8.6517052 250.35194 -0.026354251 0.90049870 1065.4925 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 43 7.5428025 296.63198 0.0090032500 0.93317940 1068.4496 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 44 8.9636472 287.40553 0.034659314 0.91118110 1107.1852 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 70 8.6133561 305.31533 0.029531662 0.92979123 1088.5918 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 78 10.980136 308.44051 -0.058937844 0.95814556 1052.8150 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 89 12.784320 319.87647 0.027418431 0.94028336 1066.9285 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 95 6.3768737 292.59541 -0.00047694607 0.94146806 1117.6372 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 101 11.679045 307.00201 -0.026047568 1.0063995 1043.9368 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 123 5.7099543 348.68875 0.018769649 0.91405449 1036.4988 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 124 7.8416341 335.23486 0.060616158 0.87450357 1079.9169 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 126 8.8331891 326.84609 0.0082730558 0.90740256 1129.2356 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 134 13.140670 329.48806 -0.023770827 0.95496840 1066.0794 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 156 7.9479073 351.17542 0.029140134 0.96161764 994.19476 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 203 9.3859863 314.74742 -0.11054905 0.97470895 1065.0920 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 216 9.2352130 307.55007 -0.071470197 0.96414071 1071.7486 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 218 13.352741 301.11562 0.017624947 0.99113990 1056.5958 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 245 7.3699156 333.62490 -0.014166853 0.90219701 1093.3967 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 255 11.150971 342.35881 -0.021558721 0.91943098 1037.0577 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 262 10.564449 301.15677 -0.028848989 0.95474817 1094.5178 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 267 7.4999743 295.57650 -0.017236345 0.94079258 965.93999 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 273 4.9386529 282.66794 0.014103708 0.89940838 1051.2482 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 283 3.2022136 302.18047 -0.034131825 0.94609611 1091.1860 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 289 7.3453178 320.49342 -0.061973922 0.95728312 984.50728 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 311 8.3818500 329.86313 -0.0055494122 0.89757619 1055.8889 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 314 5.2097330 339.31462 0.0073403331 0.89742246 1112.5579 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 0 317 7.8060174 308.69636 -0.026494138 1.0328499 1016.6253 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 0 5.3663803 0.00021365201 -0.0043701120 0.93881043 0.99724751 LOCATESKYLINES_2: sdR-r1-00034675.fit: sigma-clipped to 235 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034675.fit: comb2 l,chi^2/dof,fit: 0 3.1215144 -0.015342265 0.0016409030 0.95517766 1.0049904 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 235 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: -0.0364650.0016410.006130 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 8 3.1840702 267.86072 -0.076475715 1.0295007 363.81330 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 17 4.1701305 246.48388 0.26305847 0.99167514 382.30006 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 28 1.0108758 221.36248 0.078048398 1.1855641 385.91157 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 32 0.31074949 255.49264 0.013548924 0.93424513 349.94717 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 43 0.56150352 290.63755 0.036549979 0.91266103 411.40297 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 44 2.7294946 262.68248 0.0094629911 1.0852635 379.80587 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 70 3.0839950 272.10864 0.052377955 0.90753711 431.46729 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 78 0.88854761 304.76958 -0.021182510 0.91941414 357.48331 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 89 1.9649563 321.58899 0.032961825 0.92997950 355.30208 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 95 2.3913673 313.51922 0.021904392 0.88789900 377.61887 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 101 3.0641557 320.38967 0.025469454 1.0202299 354.80632 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 123 2.7831585 326.26725 0.014216990 0.89457004 382.25670 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 124 3.1237484 316.08577 0.062988140 0.88159521 441.59696 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 126 2.5218220 318.18785 0.059498455 0.97464913 375.76080 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 134 1.0752148 320.08711 -0.035790374 1.0051286 393.83472 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 156 1.9767137 324.10498 0.015339049 0.90217878 371.00121 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 203 1.4775997 306.87979 -0.048131021 1.0463391 405.80055 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 216 3.5273628 304.01190 -0.18383716 1.0216898 374.93521 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 218 4.0976912 284.01577 -0.038100160 1.1171824 406.47820 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 245 1.1306299 297.49236 -0.10607775 1.0098890 382.84860 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 255 4.8406406 306.63938 -0.10703558 0.91228888 412.97737 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 262 2.0249354 305.35779 -0.0019986584 0.92120212 419.54989 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 267 1.5887292 283.24194 0.039098639 0.87175883 438.05102 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 273 1.2723620 264.27126 -0.0040987499 1.0161518 368.64032 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 283 2.8568477 288.21409 0.093733594 0.88453968 445.74170 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 289 0.90811256 286.75737 0.045169835 0.92139848 424.09243 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 311 0.82826216 283.40209 -0.0019906660 0.94511680 396.07932 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 314 2.2718244 309.29267 0.028864666 1.0161533 393.69064 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 1 317 1.1515697 312.79816 0.0015324345 0.95113514 404.72675 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 1 1.5536981 0.0020962772 0.0094727166 0.96091248 0.99426589 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: -0.0286330.0094730.013502 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 8 1.0375325 239.52197 -0.076508689 0.89824671 118.32740 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 17 2.5081044 188.11131 -0.24534254 1.2071325 118.77272 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 28 1.8488155 199.45773 0.31938931 0.96622658 137.96403 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 32 1.7357307 199.69232 -0.19575933 1.1356470 84.484688 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 43 1.2846753 254.66231 -0.27776153 0.80591673 101.35703 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 44 2.1006051 199.17098 -0.35820916 1.4506650 180.11700 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 70 0.24169429 275.08763 0.017269611 0.60000000 114.25322 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 78 0.63141113 251.40241 -0.11725692 1.2892526 102.56747 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 89 1.0230399 228.59255 -0.70430405 2.0000000 119.70568 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 95 1.9904664 254.01807 0.088046207 0.64621112 151.12787 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 101 0.86375749 239.74304 -0.71955779 2.0000000 128.77985 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 123 1.0237422 245.50558 -0.45801420 1.5860494 142.54328 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 124 1.4936094 249.56414 -0.66407834 1.4988124 113.79118 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 126 1.1891307 291.91427 -0.48375417 1.0867947 112.45272 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 134 1.2982345 263.26508 -1.0000000 2.0000000 106.84754 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 156 0.63325516 252.63557 -0.12509502 1.8165818 95.996735 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 203 2.7080036 257.90335 -0.30902462 1.0875387 121.07983 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 216 2.7255386 278.15436 -0.39346723 0.85246602 128.45463 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 218 1.8658038 284.26753 -0.15246039 0.83857280 93.555963 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 245 1.7913858 267.94456 0.26708305 1.0564576 118.00185 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 255 1.1485880 286.63055 -0.081117959 0.71405745 121.92327 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 262 1.3229890 243.84810 -0.16134531 1.2680355 140.25996 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 267 1.5812604 241.37601 0.023669958 1.1853551 115.94042 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 273 2.2439917 229.05842 -0.67445855 1.1863304 136.07289 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 283 0.77570906 199.73115 -0.24185711 2.0000000 138.42129 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 289 1.9901686 222.95737 -1.0000000 2.0000000 133.03637 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 311 2.4304505 227.64897 -0.44478543 1.4018558 143.43085 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 314 0.81226555 286.96285 -0.39142325 1.1795370 101.19103 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 2 317 3.6606798 268.57476 -1.0000000 2.0000000 78.560515 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: trimmed 1high points: 1.0319886 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 2 1.0065632 0.026816789 -0.22644025 1.1180240 0.94191335 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 197 of 197 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: -0.264546-0.2264400.048536 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 8 1.6400723 231.99824 -0.10108197 1.0451649 180.51011 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 17 1.1825783 200.44783 0.11267575 1.4401229 154.54917 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 28 2.9394484 216.29529 0.35239400 1.0755899 173.65760 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 32 0.22845022 223.83655 -0.21996910 0.83264787 209.77257 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 43 2.1839688 253.29790 -0.27495242 0.94468538 180.26970 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 44 2.1469676 275.54181 -0.071849064 0.89435376 182.46110 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 70 0.51874517 281.08747 0.26065623 0.83464028 148.89001 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 78 1.0114985 276.34140 -0.049847480 1.0099061 171.73597 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 89 1.7332237 302.55018 0.28325824 0.60000000 193.73348 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 95 0.75684124 263.81474 0.44147834 1.2603465 175.26157 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 101 0.47250290 293.85120 0.12412024 1.0217620 152.87109 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 123 0.36939706 285.59901 0.12045594 1.0229395 173.63945 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 124 0.46646165 281.26530 0.29647555 1.1200030 155.65754 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 126 0.76737223 304.00052 -0.052128430 0.94067316 161.54456 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 134 3.7274090 304.25888 0.24579326 1.0236387 156.54955 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 156 0.52736258 297.70064 0.055073604 0.95392068 173.59277 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 203 0.84783621 288.32419 0.037229094 0.98874685 178.55168 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 216 2.4923348 279.78152 0.31869174 1.2827899 166.35213 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 218 0.85607188 313.90935 -0.13410325 0.87708364 128.27760 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 245 0.69889617 303.06743 -0.16394109 0.70100879 173.63818 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 255 0.79238210 287.59555 0.18657625 0.84464322 172.38262 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 262 3.1640951 295.87023 -0.28288664 0.60000000 222.53401 LOCATESKYLINES_2: sdR-r1-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 267 1.3600374 259.37874 -0.11166962 1.1312675 165.27627 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 273 2.6260988 260.45709 0.17302669 1.0805904 155.02954 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 283 1.0731096 265.06872 0.19169698 1.0257931 174.01544 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 289 0.41339589 251.51820 -0.092856483 1.1873796 198.03688 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 311 1.4052550 272.41284 -0.052406597 1.1941351 198.31318 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 314 1.1372338 324.34513 -0.11379952 0.98496794 179.13589 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 3 317 0.69468789 277.58391 -0.55672395 1.3343772 192.17423 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 3 1.0195416 0.014591528 0.0087124609 1.0109072 0.96883906 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 243 of 243 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: -0.0293930.0087120.031020 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 8 0.48859595 234.68696 0.094797906 0.85409891 216.43703 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 17 0.60169052 222.13471 -0.17312953 0.78644917 255.93320 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 28 1.2021525 212.32421 -0.052793182 0.99337753 193.11932 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 32 1.5849367 208.58638 0.035109915 1.0361654 255.91189 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 43 1.1293814 242.90224 0.26012588 0.92950595 247.58194 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 44 0.38127144 260.45529 0.062497926 0.97141733 202.32713 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 70 1.7351632 290.36316 -0.030980369 0.80812633 217.88472 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 78 0.73710371 283.47368 0.13271762 0.98093702 195.40437 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 89 0.56244272 291.03495 -0.19872838 0.84267706 212.08370 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 95 0.70757800 308.37892 0.085445262 0.81990680 213.76225 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 101 0.13170571 304.10854 0.22489507 0.86094538 171.40588 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 123 1.1665456 277.52320 0.12882164 1.3424347 217.05633 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 124 0.58817158 300.42089 -0.036637240 0.89630333 239.16468 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 126 1.8217055 306.43480 -0.011104806 0.98828600 219.93548 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 134 2.2156115 309.07782 0.012089044 1.1607510 190.17448 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 156 1.3428389 321.95159 -0.042466983 0.78950422 206.83334 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 203 1.9108169 297.51043 0.15089331 0.92601068 247.84965 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 216 1.2144681 303.61213 -0.021217622 1.2205329 168.15351 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 218 0.87901128 291.34704 0.056414199 0.91339630 228.74845 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 245 1.4186651 309.13029 0.078567442 0.86078308 218.50070 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 255 2.3584355 309.84403 0.14850458 0.80694830 179.53906 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 262 0.58170421 287.44992 0.12551886 0.95758905 192.52548 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 267 1.2386634 284.38012 -0.032470470 0.92707912 188.61781 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 273 0.76901187 276.42501 -0.097216792 0.84081652 238.27296 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 283 1.1133820 301.61476 0.018854328 0.78464352 201.87560 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 289 0.80027591 277.05840 -0.087387393 1.2788382 178.88588 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 311 0.31827941 308.42681 0.14246539 0.84524089 192.20758 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 314 0.43949449 326.09906 -0.082995652 0.75917427 287.00663 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 4 317 0.28145733 319.43375 -0.041452000 0.87267157 218.76262 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 4 0.89389146 0.0037287200 0.022642817 0.92469418 0.97820116 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: -0.0154630.0226430.023480 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 8 1.3553562 260.77786 0.18338245 0.85673402 237.45093 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 17 0.66347750 249.53549 0.30344740 0.95311022 248.18804 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 28 1.4528913 236.33681 0.22845192 1.0284486 221.15283 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 32 0.79860797 244.54991 0.060783418 1.1141241 228.39159 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 43 2.0221688 275.67615 0.18536116 0.96441165 262.47765 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 44 1.5212582 267.28350 0.28536024 0.96183062 256.98615 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 70 0.12945915 279.44568 0.27778815 0.98931803 268.57345 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 78 1.5867280 298.70069 0.12138156 0.98428093 248.56605 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 89 0.91004681 317.94515 0.19356324 0.69908520 249.87153 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 95 1.6740540 299.00499 0.40517550 0.80926089 207.30215 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 101 0.29645598 290.95802 0.13700281 1.1566281 263.29288 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 123 0.36478782 317.83537 0.13491526 0.96297379 297.16816 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 124 1.1593524 293.29140 0.16450056 1.0676418 273.32767 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 126 2.2903561 290.24784 0.0093331327 0.96854475 281.82098 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 134 0.71490670 315.46289 0.0039151853 0.91024916 248.74301 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 156 1.5936987 316.83367 0.12837907 0.96636943 231.67639 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 203 1.7489891 296.34637 0.15509922 0.96267909 255.73314 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 216 0.95857374 318.22297 0.21295220 1.0632191 254.63017 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 218 0.70009626 308.32736 -0.022004865 0.78893351 260.07108 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 245 1.1232199 312.71428 -0.094518432 0.91247811 257.41686 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 255 0.59339651 285.81177 0.063496405 1.0826751 264.13714 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 262 0.55737653 283.70663 -0.021635761 0.93798781 271.57333 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 267 0.95803165 260.19185 0.21161185 1.0013686 252.95836 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 273 1.0834624 268.97337 0.21245150 0.75258912 299.46872 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 283 2.2026049 280.92472 0.10716184 1.1914118 242.81204 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 289 1.8336534 257.71889 -0.041723442 1.1103074 264.43847 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 311 0.64233107 284.93129 0.11912821 1.1239799 252.07660 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 314 1.7750767 286.39811 -0.16111406 1.3545262 302.00982 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 5 317 1.1799006 331.53466 -0.019448616 0.93202604 218.41241 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 5 1.0404418 0.0032195155 0.10874313 0.99677160 0.97906961 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: 0.0706370.1087430.021310 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 8 0.28010816 195.65492 -0.050347634 1.0340447 524.97953 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 17 3.1010901 204.06150 -0.025258970 0.99476097 535.03348 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 28 3.0712537 194.25917 0.035986689 0.94545598 569.46110 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 32 1.9008277 192.67105 -0.058044238 1.0252348 508.36870 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 43 1.7355656 236.13617 0.034689544 0.91965141 535.14982 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 44 1.4909718 238.53918 -0.10510411 0.90009352 634.16976 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 70 1.4208937 252.91672 -0.16907557 0.90067484 620.90421 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 78 1.4124494 258.72420 -0.032090777 0.94606484 567.08541 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 89 1.1975342 281.39559 -0.026438772 0.93783142 557.05163 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 95 1.9256945 255.42456 0.0093782641 1.0068118 544.59235 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 101 0.96367228 288.02553 -0.095429107 0.87365405 611.10301 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 123 3.7729534 282.50040 -0.078886034 1.0056620 554.14155 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 124 2.6389234 290.28477 -0.012572779 0.87024788 617.42930 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 126 3.4882522 272.28859 -0.075221734 0.95111861 578.74837 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 134 3.7935270 275.79087 -0.085591367 0.97081665 596.21842 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 156 0.49485796 294.60926 -0.078333366 0.94377677 558.36740 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 203 3.0224631 273.78960 -0.075901064 1.0348533 489.52002 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 216 2.8493006 277.55740 -0.060430713 0.98211989 575.32480 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 218 2.4760202 287.19086 -0.053705919 0.87614990 590.46858 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 245 1.2397031 279.19569 -0.048447692 0.90622568 582.82404 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 255 1.5383809 269.76306 -0.071532530 0.93472775 553.18937 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 262 1.5854263 258.00267 -0.013526366 0.86816164 560.87712 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 267 1.6557042 246.07401 -0.087972116 0.90075079 544.36720 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 273 2.6317694 231.58287 -0.016725493 0.92766066 582.87863 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 283 1.0236647 255.83022 -0.029835705 0.99946237 555.22047 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 289 2.9949976 260.27753 -0.082344443 0.84541592 591.19370 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 311 2.5244341 271.67073 0.019107778 0.96646684 552.25353 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 314 0.91618694 277.47365 -0.036135110 0.89051115 620.37101 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 6 317 1.6504167 282.87908 -0.12267885 0.93080120 556.37761 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 6 1.4041862 0.00074235431 -0.055758231 0.93445907 0.99704363 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: -0.093864-0.0557580.010285 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 8 0.87665241 221.88355 -0.085142145 0.99143252 623.00900 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 17 2.2710248 213.72246 0.026526379 0.91591689 717.94366 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 28 2.3478540 217.76949 -0.013037475 1.0222424 623.02324 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 32 2.4297370 184.13507 0.0015998307 0.92755733 712.63049 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 43 1.7090425 228.02111 -0.062788608 1.0412094 682.08571 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 44 1.2855043 251.70561 0.072707155 0.95584912 693.28220 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 70 4.1382482 247.26923 0.057161115 0.92008445 718.03340 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 78 0.93425328 295.03364 0.0086026487 0.91899828 675.34848 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 89 1.5049937 270.99375 -0.019175433 0.93830401 739.19995 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 95 2.1568395 246.77994 0.014861495 0.91744513 682.39051 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 101 1.6286209 296.27624 -0.082153690 0.86185344 726.67263 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 123 0.79703050 279.00397 -0.031240357 0.95119657 735.24945 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 124 3.0348050 285.06007 -0.010743489 0.90890438 727.10542 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 126 4.0845164 263.68665 -0.043241394 0.96106826 780.79371 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 134 1.0869069 258.15968 -0.022216100 1.0685905 694.27500 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 156 1.2200805 297.15110 -0.15422136 0.88254003 759.68681 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 203 1.8427066 278.70501 -0.052571360 0.87692812 729.05488 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 216 2.2692774 299.53516 -0.049283747 0.90098927 702.85262 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 218 1.7447560 305.17595 -0.040468882 0.89927660 683.37723 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 245 1.4814441 278.80587 -0.060692292 0.95887119 699.43486 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 255 5.2506078 268.29856 -0.010037439 0.92423645 659.12629 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 262 0.71440919 268.68318 0.024967642 0.89082421 711.42747 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 267 0.46169996 238.24190 0.017810443 0.94424147 642.69548 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 273 0.51884153 240.65513 -0.0031082771 0.89492473 708.70583 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 283 2.7713211 243.59468 0.0081830856 0.96298377 704.98765 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 289 2.2017591 261.98224 -0.064979402 0.99177778 644.90660 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 311 2.2426853 280.16017 0.039308852 0.92068705 683.11960 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 314 2.9639778 316.55486 0.098902058 0.77875273 684.49479 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 7 317 2.4322709 301.13837 -0.019548294 0.90563818 666.66498 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 7 1.5394286 7.6016820e-05 -0.019082947 0.93175765 0.99471146 LOCATESKYLINES_2: sdR-r1-00034675.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034675.fit: comb2 l,chi^2/dof,fit: 7 1.4716652 3.3147570e-05 -0.022623152 0.93094417 0.99903185 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: -0.060729-0.0226230.008739 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 8 0.52698107 124.36573 0.010391708 0.91063611 767.17159 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 17 1.5732816 114.14582 0.072491430 0.92922104 860.95988 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 28 1.6014819 91.985219 0.076363471 0.91126100 830.47371 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 32 1.6682850 104.40528 0.051283052 0.90378705 808.60956 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 43 1.3795006 131.09439 -0.0063453968 0.96212585 822.85849 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 44 1.0286482 144.14483 0.081748330 0.88037972 839.62259 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 70 0.93969808 165.08407 0.00084013648 0.89499192 787.13115 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 78 2.7828495 155.86901 0.028715895 0.89147626 868.73909 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 89 1.0479333 175.67783 0.021848774 0.91397424 774.41501 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 95 2.8791878 147.44500 0.087188934 0.89722899 844.27682 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 101 2.1324019 173.62749 -0.0051037169 0.95274067 735.68490 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 123 2.8057738 154.22214 0.086193076 0.88013474 912.06726 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 124 2.4176756 160.31263 0.15494183 0.88202819 920.23793 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 126 3.4631884 153.64432 0.074567766 0.91834690 884.36267 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 134 2.9929208 172.16614 -0.010103800 0.91094266 843.31048 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 156 1.5977628 179.80331 0.049106691 0.87054949 831.58397 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 203 4.8548732 147.10745 0.027524188 0.90838986 892.03051 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 216 1.3411283 142.49634 -0.013738961 0.92623493 864.06145 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 218 1.3847859 165.52860 0.0071875292 0.94807298 803.49384 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 245 1.4275993 155.05008 0.033303261 0.90942666 839.13092 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 255 0.74927094 152.94341 -0.010127959 0.91318204 890.03042 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 262 0.75370286 128.66121 -0.0064541879 0.87178051 879.61265 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 267 0.79753355 123.52862 0.082981884 0.90782280 836.73327 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 273 0.30822368 98.027776 0.030686138 0.95055492 851.39017 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 283 2.6913784 146.03757 0.012083244 0.90530898 850.55544 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 289 1.0684048 157.59016 -0.029463050 0.91146339 795.39199 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 311 1.8907748 138.22299 0.095529876 0.91772728 790.02478 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 314 2.7922365 154.50406 0.048579014 0.95726437 841.56795 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 8 317 0.72860690 156.06755 0.014323238 0.94726150 805.32856 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 8 1.2508120 -2.7297319e-05 0.038121571 0.91330689 0.99749075 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: 0.0000160.0381220.007003 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 8 0.77132268 136.37597 0.091773480 0.91151649 853.94375 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 17 4.9091925 132.09495 0.062227713 0.91998677 930.31206 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 28 2.2762762 93.364761 0.046952884 0.95646988 908.47445 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 32 1.1964873 113.60997 0.016394343 0.94014411 962.31089 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 43 1.0411387 107.26797 -0.032214290 0.95782815 1006.4875 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 44 3.1054585 133.40513 0.090625010 0.97531913 982.07791 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 70 1.4023301 165.49299 0.021421147 0.92001484 955.09247 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 78 2.9229366 141.70131 0.053333873 0.96014705 938.00123 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 89 1.6149078 141.55001 0.0068787346 0.97964241 959.91503 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 95 0.28701548 136.49777 0.013622844 0.98214651 923.12553 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 101 4.6048971 189.34907 0.038587538 0.85840957 921.57012 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 123 0.69629333 178.36625 0.085372106 0.89902096 961.92987 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 124 1.1688162 173.72193 0.090529645 0.87467223 946.14463 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 126 1.5624042 157.62729 0.041300975 0.91610753 992.26229 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 134 1.5914626 159.73346 0.060331349 0.91735017 943.95033 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 156 2.6077831 169.41546 0.030213906 0.93803203 985.26632 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 203 2.7257704 174.26371 0.047579008 0.84392806 1011.4795 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 216 3.4700229 159.14794 -0.11147576 0.91902313 897.37869 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 218 1.9327316 164.35666 0.0088276660 0.95735862 918.71316 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 245 3.0967608 152.89046 -0.010417406 0.95562533 923.84840 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 255 1.4728012 166.26637 0.061817352 0.93162636 905.39392 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 262 5.8090855 186.09945 0.0055480865 0.96175854 917.32954 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 267 0.85895940 115.63812 -0.028176850 0.99889233 877.96181 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 273 1.7326914 97.590463 0.049296790 1.0160618 945.56558 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 283 1.1034177 134.93668 0.083130351 0.91510622 1014.3808 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 289 2.4062178 149.14893 0.015442124 0.95190132 930.23512 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 311 2.2880402 129.26964 0.054393026 0.93141640 980.87652 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 314 2.0647364 169.33747 0.013072705 0.87423020 934.22948 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 9 317 1.8504541 152.86739 0.011566828 0.94667364 959.52950 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 9 1.6601216 0.00023245761 0.032070020 0.93332556 0.99718862 LOCATESKYLINES_2: sdR-r1-00034675.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034675.fit: comb2 l,chi^2/dof,fit: 9 1.5605326 4.8347686e-05 0.032779902 0.93247639 0.99786926 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: -0.0053260.0327800.006458 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 8 0.66931515 68.186326 0.10344717 0.91821647 805.94522 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 17 2.1091368 66.092821 0.097954562 1.0113213 789.04249 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 28 0.39021298 51.467981 0.049442772 0.97385391 816.57987 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 32 0.73869312 35.907650 0.046423980 0.95205541 891.14308 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 43 1.5944608 67.282569 0.042898278 0.95090027 850.32365 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 44 1.5899368 79.322432 0.051458572 0.98502609 837.01069 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 70 0.45586496 96.350304 -0.012644324 0.92345657 903.84721 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 78 0.99117876 89.987110 0.0042839652 0.92102827 887.68594 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 89 0.28977650 106.74986 0.035212799 0.89264251 834.32851 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 95 2.0460069 96.380249 0.10156737 0.90187247 831.52984 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 101 0.60529571 90.755480 0.011748023 0.97482024 875.53675 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 123 0.64879993 99.017701 0.072316176 0.90088965 864.36902 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 124 3.1505242 112.39750 0.088954107 0.86262739 919.30373 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 126 2.7729156 99.807495 0.070874858 0.95619074 837.17486 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 134 0.42926568 97.920998 -0.020914802 0.91871153 891.50426 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 156 0.45452156 93.638070 0.073817404 1.0189607 836.28863 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 203 1.7093225 81.775706 0.12740699 0.94825646 813.88244 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 216 1.4809856 98.284200 0.010928485 0.92733177 859.59551 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 218 1.5124812 92.730699 -0.033727636 0.89552964 904.94903 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 245 0.14823057 102.70231 0.051873721 0.93266708 895.13106 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 255 0.81851105 83.475258 0.016123156 0.95276296 858.40419 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 262 1.8887646 56.149961 0.13664746 0.96501113 859.62478 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 267 1.6845779 42.016019 -0.0036155274 0.88539996 902.93646 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 273 2.0914592 74.004171 0.043341552 0.96379582 808.09671 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 283 0.49857946 62.851866 0.071924329 0.97783106 893.31288 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 289 1.1640327 80.045282 0.051112971 0.96486489 863.89247 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 311 0.98336774 71.962038 0.053788152 0.93792987 823.57363 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 314 1.0234896 93.988874 0.043388762 0.92700099 836.76001 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 10 317 1.9746144 96.871121 -0.0090045711 0.90143033 837.59560 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 10 1.0948912 0.00039518509 0.043439504 0.93722466 0.99778219 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: 0.0053340.0434400.006644 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 8 0.65913957 73.478362 0.11846788 0.92085642 960.22039 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 17 0.57959729 80.884753 0.086704707 0.95596062 970.41792 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 28 0.69353121 68.918044 0.037682498 0.87037306 1046.1277 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 32 2.4344967 50.453642 0.066546246 0.95903188 951.22005 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 43 2.1275871 94.170844 0.0094417983 0.91826127 1004.5701 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 44 1.2836271 69.147319 0.081321319 0.98050319 1005.2178 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 70 1.2707246 107.29609 0.043140327 0.89744994 941.62678 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 78 4.0358800 91.338116 0.019504085 0.94126806 1021.4898 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 89 2.1036900 94.025167 0.078272106 0.94666110 971.01143 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 95 1.3396999 100.59372 0.10046334 0.94167542 976.07370 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 101 0.56527235 113.38173 0.070581049 0.87647334 1003.4842 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 123 1.1364545 113.02848 0.068609986 0.89131246 972.95354 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 124 2.6202951 96.353406 0.11864329 0.92034579 1022.8365 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 126 3.9435402 107.02734 0.032973341 0.90116472 1056.8114 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 134 0.51235074 77.619651 0.076053224 0.94992734 988.87556 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 156 3.5387165 117.20311 0.031389973 0.95451623 934.75774 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 203 15.502446 161.44440 -0.023784598 0.90697440 910.32433 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 216 2.8115213 93.273120 0.0098906651 0.92426789 1027.1336 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 218 3.4648857 99.253795 0.037890552 0.90944467 1042.7339 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 245 1.5802924 91.805993 0.0026185679 0.94361263 959.58285 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 255 2.0508024 81.404081 0.042136053 0.92490374 984.12065 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 262 1.2192646 75.760679 0.072401806 0.89856786 957.31314 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 267 2.2312567 47.874216 0.011265200 1.0224385 915.58389 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 273 2.0865891 69.267782 0.096294762 0.93164738 946.84961 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 283 2.2285189 64.280931 0.038845341 0.95437632 984.02160 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 289 3.8760434 102.76585 0.0015916926 0.94944667 904.52631 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 311 1.2302149 73.396970 0.0030670992 0.92950643 966.68397 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 314 1.7315162 79.382858 0.053902533 0.96751494 929.32429 LOCATESKYLINES_2: sdR-r1-00034675.fit: l,f,chi^2/dof,c: 11 317 2.5296840 93.269129 0.0071511618 0.99605064 922.70221 LOCATESKYLINES_2: sdR-r1-00034675.fit: comb1 l,chi^2/dof,fit: 11 1.7577564 0.00028301818 0.048748279 0.93121319 0.99841328 LOCATESKYLINES_2: sdR-r1-00034675.fit: sigma-clipped to 259 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034675.fit: comb2 l,chi^2/dof,fit: 11 1.5277236 -0.00078985812 0.048985326 0.93225273 0.99937062 LOCATESKYLINES_2: sdR-r1-00034675.fit: kept 259 of 261 points LOCATESKYLINES_2: sdR-r1-00034675.fit: offset, refoff, sigma: 0.0108790.0489850.006040 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 FITMEANX: sdR-r1-00034675.fit: In skyline number 0 std-dev is 0.027177615 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 1 std-dev is 0.041747926 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 2 std-dev is 0.060914150 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 3 std-dev is 0.070157080 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 4 std-dev is 0.038439276 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 5 std-dev is 0.047229999 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 6 std-dev is 0.029114270 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 7 std-dev is 0.033521717 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 8 std-dev is 0.031739197 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 9 std-dev is 0.040675138 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 10 std-dev is 0.039649684 pix FITMEANX: sdR-r1-00034675.fit: In skyline number 11 std-dev is 0.037333814 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 6300.3040 coadded std-dev is 0.00613013 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 6363.7760 coadded std-dev is 0.0135021 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 6553.6100 coadded std-dev is 0.0485361 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 6923.2100 coadded std-dev is 0.0310196 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 6949.0300 coadded std-dev is 0.0234801 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 7571.7500 coadded std-dev is 0.0213102 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 7794.1200 coadded std-dev is 0.0102849 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 7821.5100 coadded std-dev is 0.00873942 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 8399.1600 coadded std-dev is 0.00700250 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 8430.1700 coadded std-dev is 0.00645765 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 8885.8300 coadded std-dev is 0.00664368 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: In sky feature at 8919.6100 coadded std-dev is 0.00604024 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034675.fit: Median arc shift = -0.033653570 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: Dispersion in arc shift = 0.018339262 pix LOCATESKYLINES_2: sdR-r1-00034675.fit: Maximum sky-line shift is 0.057569260 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Number of sky fibers = 29 ROW NITER SIG(med) CHI^2 .0000 14 0.85 0.74 .0001 6 0.85 0.73 .0002 5 0.85 0.68 .0003 4 0.85 0.83 .0004 5 0.85 0.89 .0005 6 0.85 0.71 .0006 7 0.85 0.80 .0007 12 0.85 1.76 .0008 3 0.85 0.60 .0009 6 0.85 0.87 .0010 2 0.85 0.78 .0011 6 0.85 0.83 .0012 9 0.85 0.75 .0013 6 0.85 0.66 .0014 6 0.85 0.74 .0015 3 0.85 0.71 .0016 4 0.85 0.66 .0017 2 0.85 0.65 .0018 14 0.85 0.86 .0019 12 0.85 0.82 .0020 4 0.83 0.79 .0021 6 0.83 0.82 .0022 5 0.83 0.78 .0023 7 0.83 0.82 .0024 12 0.83 0.84 .0025 5 0.83 0.83 .0026 5 0.83 0.66 .0027 6 0.83 0.66 .0028 1 0.83 0.75 .0029 14 0.83 0.87 .0030 9 0.83 0.81 .0031 3 0.83 0.61 .0032 1 0.83 0.72 .0033 10 0.83 0.75 .0034 5 0.83 0.65 .0035 9 0.83 0.87 .0036 13 0.83 1.37 .0037 4 0.83 0.82 .0038 10 0.83 0.80 .0039 5 0.83 0.71 .0040 6 0.84 0.77 .0041 5 0.84 0.73 .0042 10 0.84 0.76 .0043 1 0.84 0.70 .0044 2 0.84 0.76 .0045 9 0.84 0.79 .0046 7 0.84 0.76 .0047 8 0.84 0.82 .0048 4 0.84 0.74 .0049 6 0.84 0.78 .0050 5 0.84 0.80 .0051 5 0.84 0.85 .0052 4 0.84 0.84 .0053 10 0.84 0.76 .0054 7 0.84 0.87 .0055 7 0.84 0.80 .0056 8 0.84 0.78 .0057 4 0.84 0.77 .0058 9 0.84 0.79 .0059 6 0.84 0.83 .0060 2 0.82 0.71 .0061 2 0.82 0.67 .0062 3 0.82 0.79 .0063 3 0.82 0.74 .0064 3 0.82 0.58 .0065 2 0.82 0.76 .0066 11 0.82 0.83 .0067 2 0.82 0.78 .0068 2 0.82 0.84 .0069 2 0.82 0.78 .0070 2 0.82 0.75 .0071 11 0.82 0.82 .0072 3 0.82 0.69 .0073 3 0.82 0.70 .0074 3 0.82 0.68 .0075 2 0.82 0.75 .0076 7 0.82 0.88 .0077 10 0.82 0.79 .0078 2 0.82 0.73 .0079 11 0.82 0.81 .0080 7 0.82 0.79 .0081 6 0.82 0.86 .0082 5 0.82 0.69 .0083 11 0.82 0.72 .0084 12 0.82 0.79 .0085 6 0.82 0.83 .0086 7 0.82 0.75 .0087 5 0.82 0.77 .0088 7 0.82 0.73 .0089 2 0.82 0.71 .0090 0 0.82 0.00 .0091 1 0.82 0.26 .0092 4 0.82 0.79 .0093 7 0.82 0.79 .0094 15 0.82 1.00 .0095 1 0.82 0.74 .0096 5 0.82 0.80 .0097 6 0.82 0.76 .0098 3 0.82 0.64 .0099 9 0.82 0.89 .0100 1 0.82 0.77 .0101 3 0.82 0.77 .0102 3 0.82 0.80 .0103 2 0.82 0.72 .0104 3 0.82 0.62 .0105 3 0.82 0.72 .0106 2 0.82 0.62 .0107 2 0.82 0.76 .0108 2 0.82 0.79 .0109 2 0.82 0.81 .0110 3 0.82 0.74 .0111 2 0.82 0.76 .0112 2 0.82 0.88 .0113 2 0.82 0.76 .0114 4 0.82 0.63 .0115 4 0.82 0.71 .0116 3 0.82 0.76 .0117 2 0.82 0.83 .0118 2 0.82 0.83 .0119 3 0.82 0.82 .0120 12 0.78 0.86 .0121 12 0.78 0.71 .0122 4 0.78 0.75 .0123 3 0.78 0.72 .0124 3 0.78 0.68 .0125 14 0.78 0.95 .0126 3 0.78 0.78 .0127 6 0.78 0.96 .0128 7 0.78 0.93 .0129 5 0.78 0.79 .0130 9 0.78 0.67 .0131 4 0.78 0.89 .0132 3 0.78 0.84 .0133 16 0.78 1.14 .0134 3 0.78 0.73 .0135 11 0.78 0.83 .0136 7 0.78 0.91 .0137 15 0.78 1.21 .0138 12 0.78 0.86 .0139 12 0.78 0.76 .0140 2 0.80 0.76 .0141 2 0.80 0.75 .0142 1 0.80 0.72 .0143 3 0.80 0.65 .0144 3 0.80 0.79 .0145 3 0.80 0.62 .0146 1 0.80 0.73 .0147 2 0.80 0.78 .0148 3 0.80 0.78 .0149 4 0.80 0.82 .0150 3 0.80 0.80 .0151 2 0.80 0.79 .0152 2 0.80 0.73 .0153 3 0.80 0.78 .0154 4 0.80 0.82 .0155 4 0.80 0.74 .0156 3 0.80 0.76 .0157 3 0.80 0.82 .0158 3 0.80 0.76 .0159 2 0.80 0.75 .0160 4 0.82 0.81 .0161 3 0.82 0.77 .0162 3 0.82 0.78 .0163 3 0.82 0.83 .0164 3 0.82 0.70 .0165 3 0.82 0.79 .0166 3 0.82 0.80 .0167 3 0.82 0.84 .0168 2 0.82 0.81 .0169 2 0.82 0.81 .0170 5 0.82 0.80 .0171 3 0.82 0.76 .0172 4 0.82 0.75 .0173 4 0.82 0.64 .0174 3 0.82 0.35 .0175 2 0.82 0.89 .0176 3 0.82 0.70 .0177 3 0.82 0.86 .0178 3 0.82 0.80 .0179 3 0.82 0.84 .0180 8 0.79 0.62 .0181 1 0.79 0.72 .0182 4 0.79 0.77 .0183 3 0.79 0.78 .0184 3 0.79 0.79 .0185 2 0.79 0.73 .0186 3 0.79 0.75 .0187 2 0.79 0.72 .0188 2 0.79 0.54 .0189 4 0.79 0.74 .0190 2 0.79 0.83 .0191 2 0.79 0.84 .0192 2 0.79 0.82 .0193 2 0.79 0.78 .0194 4 0.79 0.74 .0195 2 0.79 0.83 .0196 2 0.79 0.80 .0197 9 0.79 0.75 .0198 2 0.79 0.67 .0199 1 0.79 0.70 .0200 6 0.81 0.80 .0201 4 0.81 0.83 .0202 8 0.81 0.93 .0203 3 0.81 0.83 .0204 6 0.81 0.84 .0205 7 0.81 0.76 .0206 5 0.81 0.78 .0207 4 0.81 0.75 .0208 5 0.81 0.76 .0209 10 0.81 0.77 .0210 11 0.81 0.85 .0211 12 0.81 1.81 .0212 7 0.81 0.94 .0213 10 0.81 0.60 .0214 4 0.81 0.82 .0215 3 0.81 0.74 .0216 2 0.81 0.78 .0217 14 0.81 0.86 .0218 3 0.81 0.64 .0219 12 0.81 1.03 .0220 11 0.82 0.71 .0221 2 0.82 0.73 .0222 6 0.82 0.81 .0223 2 0.82 0.70 .0224 13 0.82 0.78 .0225 4 0.82 0.82 .0226 7 0.82 0.95 .0227 5 0.82 0.87 .0228 14 0.82 0.87 .0229 2 0.82 0.69 .0230 2 0.82 0.68 .0231 11 0.82 0.78 .0232 3 0.82 0.74 .0233 3 0.82 0.79 .0234 2 0.82 0.73 .0235 2 0.82 0.86 .0236 2 0.82 0.80 .0237 1 0.82 0.82 .0238 3 0.82 0.78 .0239 1 0.82 1.45 .0240 7 0.80 0.80 .0241 13 0.80 0.99 .0242 3 0.80 0.83 .0243 9 0.80 0.87 .0244 8 0.80 0.83 .0245 2 0.80 0.70 .0246 6 0.80 0.84 .0247 4 0.80 0.79 .0248 2 0.80 0.69 choldc failed 28 .0249 1 0.80 231.77 .0250 7 0.80 0.88 .0251 0 0.80 0.00 .0252 9 0.80 0.78 .0253 14 0.80 1.03 .0254 5 0.80 0.87 .0255 2 0.80 0.78 .0256 4 0.80 0.75 .0257 12 0.80 0.93 .0258 6 0.80 0.84 .0259 6 0.80 0.86 .0260 10 0.81 0.87 .0261 4 0.81 0.90 .0262 1 0.81 0.78 .0263 4 0.81 0.89 .0264 14 0.81 1.55 .0265 14 0.81 1.00 .0266 4 0.81 0.86 .0267 1 0.81 0.66 .0268 9 0.81 0.73 .0269 11 0.81 0.81 .0270 6 0.81 0.89 .0271 11 0.81 0.88 .0272 12 0.81 0.95 .0273 2 0.81 0.67 .0274 11 0.81 0.82 .0275 13 0.81 0.69 .0276 13 0.81 1.27 .0277 5 0.81 0.80 .0278 5 0.81 0.89 .0279 5 0.81 0.78 .0280 4 0.82 0.85 .0281 7 0.82 0.81 .0282 7 0.82 0.82 .0283 2 0.82 0.74 .0284 9 0.82 0.93 .0285 9 0.82 0.75 .0286 5 0.82 0.67 .0287 7 0.82 0.70 .0288 9 0.82 0.85 .0289 2 0.82 0.77 .0290 14 0.82 0.91 .0291 7 0.82 0.87 .0292 2 0.82 0.80 .0293 10 0.82 0.76 .0294 0 0.82 0.00 .0295 14 0.82 0.82 .0296 6 0.82 0.85 .0297 12 0.82 0.82 .0298 3 0.82 0.92 .0299 3 0.82 0.73 .0300 6 0.83 0.90 .0301 2 0.83 0.67 .0302 4 0.83 0.77 .0303 14 0.83 1.45 .0304 6 0.83 0.72 .0305 8 0.83 0.70 .0306 4 0.83 0.68 .0307 11 0.83 0.79 .0308 5 0.83 0.82 .0309 9 0.83 0.67 .0310 14 0.83 0.69 .0311 2 0.83 0.79 .0312 3 0.83 0.79 .0313 14 0.83 1.05 .0314 2 0.83 0.74 .0315 13 0.83 0.88 .0316 12 0.83 0.71 .0317 2 0.83 0.71 .0318 9 0.83 0.71 .0319 4 0.83 0.77 EXTRACT_IMAGE: sdR-r1-00034675.fit: masked 1872 pixels SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 0 median sigma(arc)= 0.85908366 sigma(sky)= 0.64299089 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 0 sigma^2(add)= -0.32461992 +/- 0.29546438 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 1 median sigma(arc)= 0.85496656 sigma(sky)= 1.2413702 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 1 sigma^2(add)= 0.81003328 +/- 0.26984571 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 2 median sigma(arc)= 0.84459083 sigma(sky)= -795.61542 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 2 sigma^2(add)= 483517.29 +/- 1015202.1 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 3 median sigma(arc)= 0.83173984 sigma(sky)= 1.1126658 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 3 sigma^2(add)= 0.54649287 +/- 0.81341289 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 4 median sigma(arc)= 0.83116370 sigma(sky)= 1.1007815 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 4 sigma^2(add)= 0.52741608 +/- 0.55429481 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 5 median sigma(arc)= 0.82761495 sigma(sky)= 0.78749356 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 5 sigma^2(add)= 0.015830456 +/- 0.49356785 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 6 median sigma(arc)= 0.83036128 sigma(sky)= 0.85791300 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 6 sigma^2(add)= 0.054522591 +/- 0.20712648 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 7 median sigma(arc)= 0.83081951 sigma(sky)= 0.96215686 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 7 sigma^2(add)= 0.25140480 +/- 0.20117087 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 8 median sigma(arc)= 0.84552722 sigma(sky)= 0.83896719 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 8 sigma^2(add)= -0.011050405 +/- 0.17572999 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 9 median sigma(arc)= 0.84654754 sigma(sky)= 0.81935843 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 9 sigma^2(add)= -0.030340431 +/- 0.14247921 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 10 median sigma(arc)= 0.86349843 sigma(sky)= 0.86982263 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 10 sigma^2(add)= 0.016437234 +/- 0.12726807 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 11 median sigma(arc)= 0.86487550 sigma(sky)= 0.87749104 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Line # 11 sigma^2(add)= 0.021980410 +/- 0.15229087 SKYLINE_DISPERSION: sdR-r1-00034675.fit: Flexure sigma^2(add) = 0.043267265 +/- 0.12878871 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034675.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034675.fit: Heliocentric correction = 23.408088 km/s FITVACSET: sdR-r1-00034675.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034675.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034675.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034675.fit: Number of pixels rejected: 1 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034675.fit: Number of sky fibers = 27 SKYSUBTRACT: sdR-r1-00034675.fit: Airmass range = 1.32991 1.38481 SKYSUBTRACT: sdR-r1-00034675.fit: Discarding 0.00294777 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 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not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034675.fit: Median sky-residual chi2 = 1.68299 SKYSUBTRACT: sdR-r1-00034675.fit: Max sky-residual chi2 = 5.22799 QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 9 = -28.6023 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 18 = -35.6485 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 29 = -37.9316 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 33 = -41.3391 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 44 = -19.6430 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 45 = -13.3041 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 90 = 11.8647 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 102 = 16.5464 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 124 = 17.0319 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 125 = 18.5606 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 127 = 21.8106 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 135 = 16.8999 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 157 = 26.5488 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 246 = 11.9193 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 274 = -22.9283 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 315 = 11.5777 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 318 = 12.1265 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Median sky-residual chi = 1.30248 QAPLOT_SKYSUB: sdR-r1-00034675.fit: Max sky-residual chi = 2.52512 at 6901.4155 Ang SKYSUBTRACT: sdR-r1-00034675.fit: Number of sky fibers = 27 SKYSUBTRACT: sdR-r1-00034675.fit: Airmass range = 1.32991 1.38481 SKYSUBTRACT: sdR-r1-00034675.fit: Discarding 0.00294777 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 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Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034675.fit: Median sky-residual chi2 = 1.26540 SKYSUBTRACT: sdR-r1-00034675.fit: Max sky-residual chi2 = 4.04515 QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 29 = -14.1199 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 33 = -20.5608 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 71 = 10.5800 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 102 = 10.1707 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 204 = -10.5876 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 263 = -12.6383 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 274 = -28.2393 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 284 = -10.1337 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 315 = 21.5840 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Warning: Median sky-sub flux in sky fiber 318 = 23.5626 electrons QAPLOT_SKYSUB: sdR-r1-00034675.fit: Median sky-residual chi = 1.13654 QAPLOT_SKYSUB: sdR-r1-00034675.fit: Max sky-residual chi = 2.07468 at 6901.4155 Ang QAPLOT_SKYLINE: sdR-r1-00034675.fit: Airmass range = 1.33 1.38 QAPLOT_SKYLINE: sdR-r1-00034675.fit: Flux dispersion for skyline 7343.0 = 6.33 % QAPLOT_SKYLINE: sdR-r1-00034675.fit: Airmass range = 1.33 1.38 QAPLOT_SKYLINE: sdR-r1-00034675.fit: Flux dispersion for skyline 8888.3 = 4.85 % SPADD_GUIDERINFO: sdR-r1-00034675.fit: Number of guider frames = 9 SPREDUCE: sdR-r1-00034675.fit: Elapsed time = 206. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 724. seconds SPREDUCE2D: Time to reduce camera r1 = 724. seconds READPLUGMAP: r2: Rescaling SCI_EXPTIME values by 240.10000 READPLUGMAP: r2: Adding fields from calibObj file READPLUGMAP: r2: LIED about EBV. Set to 0.3 PLUG2TSOBJ: r2: WARNING: calibObj file not found for plate 2338 READPLUGMAP: r2: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: r2: Number of missing fibers: 4 SPCALIB: r2: Tracing flat # 1 of 2 SPCALIB: r2: Reading flat sdR-r2-00034673.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opECalib-51577.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.56626 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 470.066 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.76255 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1317.63 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1297. DN is 0 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Tracing 320 fibers in sdR-r2-00034673.fit TRACE320CEN: r2: Big gap at fiber= 20, x= 155.19, dx= 8.10 TRACE320CEN: r2: Big gap at fiber= 40, x= 283.58, dx= 9.34 TRACE320CEN: r2: Big gap at fiber= 60, x= 409.99, dx= 8.05 TRACE320CEN: r2: Big gap at fiber= 80, x= 536.36, dx= 8.31 TRACE320CEN: r2: Big gap at fiber= 100, x= 662.48, dx= 8.33 TRACE320CEN: r2: Big gap at fiber= 160, x=1037.40, dx= 8.30 TRACE320CEN: r2: Big gap at fiber= 180, x=1161.88, dx= 7.56 TRACE320CEN: r2: Big gap at fiber= 200, x=1287.08, dx= 8.01 TRACE320CEN: r2: Big gap at fiber= 220, x=1412.95, dx= 8.27 TRACE320CEN: r2: Big gap at fiber= 240, x=1538.55, dx= 7.91 TRACE320CEN: r2: Big gap at fiber= 260, x=1665.06, dx= 8.16 TRACE320CEN: r2: Big gap at fiber= 280, x=1791.46, dx= 8.16 TRACE320CEN: r2: Big gap at fiber= 300, x=1919.95, dx= 9.47 TRACE320CRUDE: r2: Warning: Fixing traces: 54 168 169 223 224 228 241 247 248 263 275 276 292 311 318 319 SPCALIB: r2: Fitting traces in sdR-r2-00034673.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 35 56 2048 19 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 1 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 77 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 1 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 1 162 2048 0 163 2048 0 164 2048 0 165 2048 22 166 2048 102 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 8 184 2048 66 185 2048 2 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 3 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 17 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 9 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 1 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 1 315 2048 0 316 2048 0 317 2048 12 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 377 SPCALIB: r2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 2.88 .0004 1 1.00 2.63 .0005 1 1.00 2.56 .0006 1 1.00 2.85 .0007 1 1.00 2.56 .0008 1 1.00 2.74 .0009 1 1.00 2.51 .0010 1 1.00 2.85 .0011 1 1.00 2.73 .0012 1 1.00 2.73 .0013 1 1.00 2.87 .0014 1 1.00 2.74 .0015 1 1.00 2.72 .0016 1 1.00 2.80 .0017 1 1.00 2.96 .0018 1 1.00 2.79 .0019 1 1.00 2.93 .0020 1 1.00 3.14 .0021 1 1.00 2.85 .0022 1 1.00 2.95 .0023 1 1.00 2.84 .0024 1 1.00 2.98 .0025 1 1.00 2.94 .0026 1 1.00 2.70 .0027 2 1.00 2.54 .0028 2 1.00 2.61 .0029 2 1.00 2.57 .0030 2 1.00 2.51 .0031 2 1.00 2.66 .0032 2 1.00 2.61 .0033 2 1.00 2.86 .0034 3 1.00 2.56 .0035 2 1.00 2.58 .0036 2 1.00 2.72 .0037 2 1.00 2.63 .0038 2 1.00 2.67 .0039 2 1.00 2.71 .0040 2 1.00 2.68 .0041 2 1.00 2.79 .0042 2 1.00 2.73 .0043 2 1.00 2.62 .0044 2 1.00 2.76 .0045 2 1.00 2.73 .0046 2 1.00 2.67 .0047 2 1.00 2.71 .0048 2 1.00 2.83 .0049 2 1.00 2.66 .0050 2 1.00 2.65 .0051 2 1.00 2.57 .0052 2 1.00 2.70 .0053 2 1.00 2.80 .0054 2 1.00 2.73 .0055 2 1.00 2.73 .0056 2 1.00 2.76 .0057 2 1.00 2.63 .0058 2 1.00 2.63 .0059 2 1.00 2.75 .0060 2 1.00 2.72 .0061 2 1.00 2.71 .0062 2 1.00 2.71 .0063 2 1.00 2.69 .0064 2 1.00 2.73 .0065 3 1.00 3.12 .0066 2 1.00 2.71 .0067 2 1.00 2.85 .0068 2 1.00 2.65 .0069 2 1.00 2.72 .0070 2 1.00 2.81 .0071 2 1.00 2.94 .0072 4 1.00 2.81 .0073 2 1.00 2.71 .0074 2 1.00 2.58 .0075 2 1.00 2.76 .0076 2 1.00 2.61 .0077 2 1.00 2.60 .0078 2 1.00 2.64 .0079 2 1.00 2.71 .0080 2 1.00 2.72 .0081 2 1.00 2.58 .0082 2 1.00 2.78 .0083 2 1.00 2.68 .0084 2 1.00 2.77 .0085 2 1.00 2.75 .0086 2 1.00 2.77 .0087 2 1.00 2.75 .0088 2 1.00 2.74 .0089 2 1.00 2.85 .0090 2 1.00 2.78 .0091 2 1.00 2.69 .0092 2 1.00 2.80 .0093 2 1.00 2.88 .0094 2 1.00 2.65 .0095 2 1.00 2.93 .0096 2 1.00 2.95 .0097 2 1.00 2.89 .0098 2 1.00 2.89 .0099 2 1.00 2.98 .0100 2 1.00 2.87 .0101 2 1.00 3.01 .0102 2 1.00 3.08 .0103 2 1.00 2.70 .0104 2 1.00 2.81 .0105 2 1.00 2.80 .0106 2 1.00 2.69 .0107 2 1.00 2.72 .0108 2 1.00 2.57 .0109 2 1.00 2.91 .0110 2 1.00 2.74 .0111 2 1.00 2.73 .0112 2 1.00 2.72 .0113 2 1.00 2.77 .0114 2 1.00 2.80 .0115 2 1.00 2.87 .0116 2 1.00 2.82 .0117 2 1.00 2.87 .0118 2 1.00 3.01 .0119 2 1.00 2.82 .0120 2 1.00 2.80 .0121 2 1.00 2.75 .0122 2 1.00 2.81 .0123 2 1.00 2.85 .0124 2 1.00 3.00 .0125 2 1.00 3.05 .0126 2 1.00 2.88 .0127 2 1.00 2.97 .0128 2 1.00 2.99 .0129 2 1.00 3.10 .0130 2 1.00 2.91 .0131 2 1.00 2.95 .0132 2 1.00 2.98 .0133 2 1.00 3.22 .0134 2 1.00 3.22 .0135 2 1.00 3.19 .0136 2 1.00 3.16 .0137 2 1.00 3.22 .0138 2 1.00 3.27 .0139 2 1.00 3.05 .0140 2 1.00 3.17 .0141 2 1.00 3.15 .0142 2 1.00 3.19 .0143 2 1.00 3.28 .0144 2 1.00 3.26 .0145 2 1.00 3.27 .0146 2 1.00 3.18 .0147 2 1.00 3.18 .0148 2 1.00 3.66 .0149 2 1.00 3.28 .0150 2 1.00 3.36 .0151 2 1.00 3.46 .0152 2 1.00 3.44 .0153 2 1.00 3.44 .0154 2 1.00 3.54 .0155 2 1.00 3.55 .0156 2 1.00 3.55 .0157 2 1.00 3.64 .0158 2 1.00 3.60 .0159 2 1.00 3.52 .0160 2 1.00 3.64 .0161 2 1.00 3.67 .0162 2 1.00 3.87 .0163 2 1.00 3.78 .0164 2 1.00 3.75 .0165 2 1.00 3.82 .0166 2 1.00 3.77 .0167 2 1.00 3.76 .0168 2 1.00 3.75 .0169 2 1.00 3.73 .0170 2 1.00 3.88 .0171 2 1.00 3.86 .0172 2 1.00 3.78 .0173 2 1.00 3.90 .0174 2 1.00 4.13 .0175 2 1.00 4.01 .0176 2 1.00 4.10 .0177 2 1.00 4.00 .0178 2 1.00 3.93 .0179 2 1.00 3.98 .0180 2 1.00 4.02 .0181 2 1.00 4.10 .0182 2 1.00 4.00 .0183 2 1.00 4.00 .0184 2 1.00 4.05 .0185 2 1.00 4.11 .0186 2 1.00 4.07 .0187 2 1.00 3.96 .0188 2 1.00 4.04 .0189 2 1.00 3.89 .0190 2 1.00 4.15 .0191 2 1.00 3.96 .0192 2 1.00 4.01 .0193 2 1.00 3.83 .0194 2 1.00 3.73 .0195 2 1.00 3.88 .0196 2 1.00 3.83 .0197 2 1.00 3.83 .0198 2 1.00 3.99 .0199 2 1.00 3.63 .0200 2 1.00 3.82 .0201 2 1.00 3.72 .0202 2 1.00 3.72 .0203 2 1.00 3.80 .0204 2 1.00 3.74 .0205 2 1.00 3.80 .0206 2 1.00 3.73 .0207 2 1.00 3.81 .0208 2 1.00 3.46 .0209 1 1.00 4.13 .0210 1 1.00 3.93 .0211 1 1.00 4.07 .0212 1 1.00 4.10 .0213 2 1.00 4.17 .0214 1 1.00 4.23 .0215 1 1.00 4.02 .0216 1 1.00 3.95 .0217 1 1.00 4.09 .0218 1 1.00 3.90 .0219 1 1.00 3.85 .0220 1 1.00 3.94 .0221 1 1.00 4.00 .0222 1 1.00 3.70 .0223 1 1.00 3.87 .0224 1 1.00 3.95 .0225 1 1.00 3.72 .0226 1 1.00 3.86 .0227 1 1.00 3.78 .0228 1 1.00 3.90 .0229 1 1.00 3.67 .0230 1 1.00 3.65 .0231 1 1.00 3.74 .0232 1 1.00 3.91 .0233 1 1.00 3.67 .0234 1 1.00 3.55 .0235 1 1.00 3.76 .0236 1 1.00 3.78 .0237 1 1.00 3.78 .0238 1 1.00 4.13 .0239 1 1.00 3.60 .0240 1 1.00 3.57 .0241 1 1.00 3.67 .0242 1 1.00 3.74 .0243 1 1.00 3.73 .0244 1 1.00 3.69 .0245 1 1.00 3.67 .0246 1 1.00 3.80 .0247 1 1.00 3.69 .0248 1 1.00 4.23 .0249 1 1.00 3.80 .0250 1 1.00 3.78 .0251 1 1.00 3.76 .0252 1 1.00 3.69 .0253 1 1.00 3.97 .0254 1 1.00 3.86 .0255 1 1.00 3.72 .0256 1 1.00 3.92 .0257 1 1.00 3.88 .0258 1 1.00 3.89 .0259 1 1.00 3.82 .0260 1 1.00 4.06 .0261 1 1.00 3.94 .0262 1 1.00 3.96 .0263 1 1.00 3.93 .0264 1 1.00 3.78 .0265 1 1.00 4.24 .0266 1 1.00 4.00 .0267 1 1.00 4.53 .0268 2 1.00 3.96 .0269 2 1.00 4.08 .0270 1 1.00 4.23 .0271 1 1.00 4.08 .0272 1 1.00 4.04 .0273 1 1.00 4.10 .0274 1 1.00 4.25 .0275 1 1.00 5.05 .0276 1 1.00 4.40 .0277 1 1.00 4.18 .0278 1 1.00 4.19 .0279 1 1.00 4.22 .0280 1 1.00 4.19 .0281 1 1.00 4.26 .0282 1 1.00 4.09 .0283 1 1.00 4.39 .0284 1 1.00 4.41 .0285 1 1.00 4.34 .0286 1 1.00 4.45 .0287 1 1.00 4.29 .0288 1 1.00 4.39 .0289 2 1.00 4.40 .0290 1 1.00 4.41 .0291 1 1.00 4.60 .0292 1 1.00 4.30 .0293 1 1.00 4.41 .0294 1 1.00 4.38 .0295 1 1.00 4.32 .0296 1 1.00 4.32 .0297 1 1.00 4.42 .0298 1 1.00 4.42 .0299 1 1.00 4.48 .0300 1 1.00 4.45 .0301 1 1.00 4.55 .0302 1 1.00 4.42 .0303 2 1.00 4.01 .0304 2 1.00 3.92 .0305 2 1.00 4.21 .0306 2 1.00 3.92 .0307 2 1.00 3.92 .0308 2 1.00 3.81 .0309 2 1.00 3.91 .0310 2 1.00 3.93 .0311 2 1.00 4.01 .0312 2 1.00 3.85 .0313 2 1.00 3.97 .0314 2 1.00 3.97 .0315 2 1.00 4.00 .0316 2 1.00 3.87 .0317 2 1.00 3.80 .0318 2 1.00 3.98 .0319 2 1.00 3.94 .0320 2 1.00 3.89 .0321 2 1.00 3.74 .0322 2 1.00 3.66 .0323 2 1.00 3.64 .0324 2 1.00 3.80 .0325 2 1.00 3.81 .0326 2 1.00 3.61 .0327 2 1.00 3.78 .0328 2 1.00 3.49 .0329 2 1.00 3.63 .0330 2 1.00 3.73 .0331 2 1.00 3.47 .0332 2 1.00 3.71 .0333 2 1.00 3.53 .0334 2 1.00 3.33 .0335 2 1.00 3.62 .0336 2 1.00 3.55 .0337 2 1.00 3.47 .0338 2 1.00 3.63 .0339 2 1.00 3.42 .0340 2 1.00 3.43 .0341 2 1.00 3.63 .0342 2 1.00 3.63 .0343 2 1.00 3.50 .0344 2 1.00 3.51 .0345 2 1.00 3.38 .0346 2 1.00 3.34 .0347 2 1.00 3.58 .0348 2 1.00 3.55 .0349 2 1.00 3.42 .0350 2 1.00 3.29 .0351 2 1.00 3.48 .0352 2 1.00 3.54 .0353 2 1.00 3.36 .0354 2 1.00 3.46 .0355 2 1.00 3.54 .0356 2 1.00 3.26 .0357 2 1.00 3.36 .0358 2 1.00 3.33 .0359 2 1.00 3.28 .0360 2 1.00 3.17 .0361 2 1.00 3.24 .0362 2 1.00 3.38 .0363 2 1.00 3.17 .0364 2 1.00 3.38 .0365 2 1.00 3.25 .0366 2 1.00 3.31 .0367 2 1.00 3.19 .0368 2 1.00 3.15 .0369 2 1.00 3.24 .0370 2 1.00 3.37 .0371 2 1.00 3.75 .0372 2 1.00 3.34 .0373 2 1.00 3.20 .0374 2 1.00 3.20 .0375 2 1.00 3.14 .0376 2 1.00 3.21 .0377 2 1.00 3.14 .0378 2 1.00 3.25 .0379 2 1.00 3.28 .0380 2 1.00 3.16 .0381 2 1.00 3.31 .0382 2 1.00 3.27 .0383 2 1.00 3.29 .0384 2 1.00 3.30 .0385 2 1.00 3.30 .0386 2 1.00 3.16 .0387 2 1.00 3.23 .0388 2 1.00 3.32 .0389 2 1.00 3.31 .0390 2 1.00 3.25 .0391 2 1.00 3.18 .0392 2 1.00 3.38 .0393 2 1.00 3.39 .0394 2 1.00 3.25 .0395 2 1.00 3.24 .0396 2 1.00 3.49 .0397 2 1.00 3.55 .0398 2 1.00 3.45 .0399 2 1.00 3.18 .0400 2 1.00 3.48 .0401 2 1.00 2.89 .0402 2 1.00 3.24 .0403 2 1.00 3.00 .0404 2 1.00 3.09 .0405 2 1.00 3.09 .0406 2 1.00 3.13 .0407 2 1.00 2.85 .0408 2 1.00 3.05 .0409 2 1.00 2.86 .0410 2 1.00 3.01 .0411 2 1.00 3.10 .0412 2 1.00 3.14 .0413 2 1.00 2.96 .0414 2 1.00 2.98 .0415 2 1.00 2.84 .0416 2 1.00 2.94 .0417 2 1.00 3.06 .0418 2 1.00 2.90 .0419 2 1.00 2.91 .0420 2 1.00 2.90 .0421 2 1.00 2.93 .0422 2 1.00 2.69 .0423 2 1.00 2.89 .0424 2 1.00 3.00 .0425 2 1.00 2.97 .0426 2 1.00 2.79 .0427 2 1.00 2.97 .0428 2 1.00 2.97 .0429 2 1.00 2.69 .0430 2 1.00 2.97 .0431 2 1.00 2.85 .0432 2 1.00 2.78 .0433 2 1.00 3.01 .0434 2 1.00 3.04 .0435 2 1.00 2.81 .0436 2 1.00 2.92 .0437 2 1.00 2.88 .0438 2 1.00 2.82 .0439 2 1.00 2.99 .0440 2 1.00 2.88 .0441 2 1.00 2.90 .0442 2 1.00 2.85 .0443 2 1.00 2.91 .0444 2 1.00 2.78 .0445 2 1.00 2.70 .0446 2 1.00 2.87 .0447 2 1.00 2.68 .0448 2 1.00 2.83 .0449 2 1.00 2.89 .0450 2 1.00 2.79 .0451 2 1.00 2.99 .0452 2 1.00 2.79 .0453 2 1.00 2.93 .0454 2 1.00 2.88 .0455 2 1.00 2.78 .0456 2 1.00 2.87 .0457 2 1.00 2.87 .0458 2 1.00 2.75 .0459 2 1.00 2.83 .0460 2 1.00 2.74 .0461 2 1.00 2.82 .0462 2 1.00 2.77 .0463 2 1.00 2.65 .0464 2 1.00 2.83 .0465 2 1.00 2.81 .0466 2 1.00 2.79 .0467 2 1.00 2.71 .0468 2 1.00 2.85 .0469 2 1.00 2.88 .0470 2 1.00 2.87 .0471 2 1.00 3.06 .0472 2 1.00 2.93 .0473 2 1.00 2.61 .0474 2 1.00 2.87 .0475 2 1.00 2.83 .0476 2 1.00 2.71 .0477 2 1.00 2.91 .0478 2 1.00 2.98 .0479 2 1.00 2.87 .0480 2 1.00 2.78 .0481 2 1.00 2.93 .0482 2 1.00 2.87 .0483 2 1.00 2.94 .0484 2 1.00 2.87 .0485 2 1.00 2.85 .0486 2 1.00 2.89 .0487 2 1.00 2.91 .0488 2 1.00 2.73 .0489 2 1.00 2.83 .0490 2 1.00 2.91 .0491 2 1.00 2.84 .0492 2 1.00 2.83 .0493 2 1.00 3.24 .0494 2 1.00 2.78 .0495 2 1.00 2.91 .0496 2 1.00 2.85 .0497 2 1.00 2.98 .0498 2 1.00 2.78 .0499 2 1.00 2.89 .0500 2 1.00 2.99 .0501 2 1.00 3.41 .0502 3 1.00 3.01 .0503 2 1.00 3.03 .0504 2 1.00 3.33 .0505 2 1.00 3.01 .0506 2 1.00 3.05 .0507 2 1.00 3.03 .0508 2 1.00 3.21 .0509 2 1.00 3.04 .0510 2 1.00 2.98 .0511 2 1.00 2.95 .0512 2 1.00 3.09 .0513 2 1.00 2.83 .0514 2 1.00 3.17 .0515 2 1.00 2.87 .0516 2 1.00 3.31 .0517 2 1.00 3.06 .0518 2 1.00 3.21 .0519 2 1.00 3.13 .0520 2 1.00 3.18 .0521 2 1.00 3.14 .0522 2 1.00 3.21 .0523 2 1.00 3.24 .0524 2 1.00 3.15 .0525 2 1.00 3.18 .0526 2 1.00 3.10 .0527 2 1.00 3.21 .0528 2 1.00 3.32 .0529 2 1.00 3.21 .0530 2 1.00 3.34 .0531 2 1.00 3.31 .0532 2 1.00 3.16 .0533 2 1.00 3.29 .0534 2 1.00 3.32 .0535 2 1.00 3.32 .0536 2 1.00 3.32 .0537 2 1.00 3.40 .0538 2 1.00 3.37 .0539 2 1.00 3.33 .0540 1 1.00 3.75 .0541 1 1.00 3.86 .0542 1 1.00 3.80 .0543 1 1.00 3.88 .0544 3 1.00 3.89 .0545 1 1.00 3.77 .0546 1 1.00 3.73 .0547 1 1.00 3.67 .0548 1 1.00 3.74 .0549 1 1.00 3.52 .0550 1 1.00 3.69 .0551 1 1.00 3.67 .0552 1 1.00 3.76 .0553 1 1.00 3.86 .0554 1 1.00 3.75 .0555 1 1.00 3.64 .0556 1 1.00 3.92 .0557 1 1.00 3.77 .0558 1 1.00 3.77 .0559 1 1.00 3.57 .0560 1 1.00 3.64 .0561 1 1.00 3.64 .0562 1 1.00 3.73 .0563 1 1.00 3.98 .0564 1 1.00 3.79 .0565 1 1.00 3.83 .0566 1 1.00 3.65 .0567 1 1.00 3.81 .0568 1 1.00 3.93 .0569 1 1.00 3.82 .0570 1 1.00 3.86 .0571 1 1.00 3.99 .0572 1 1.00 3.91 .0573 1 1.00 3.88 .0574 1 1.00 3.78 .0575 1 1.00 3.84 .0576 1 1.00 3.86 .0577 1 1.00 3.88 .0578 1 1.00 3.70 .0579 1 1.00 3.92 .0580 1 1.00 3.87 .0581 1 1.00 3.83 .0582 1 1.00 3.96 .0583 1 1.00 3.92 .0584 2 1.00 4.00 .0585 2 1.00 3.83 .0586 1 1.00 4.04 .0587 1 1.00 3.73 .0588 1 1.00 3.86 .0589 1 1.00 3.94 .0590 1 1.00 3.90 .0591 1 1.00 4.06 .0592 1 1.00 3.74 .0593 1 1.00 3.86 .0594 1 1.00 3.77 .0595 1 1.00 3.87 .0596 1 1.00 3.96 .0597 1 1.00 4.01 .0598 1 1.00 3.95 .0599 1 1.00 3.97 .0600 1 1.00 4.10 .0601 1 1.00 3.90 .0602 1 1.00 3.99 .0603 1 1.00 4.14 .0604 1 1.00 4.18 .0605 1 1.00 4.09 .0606 1 1.00 4.20 .0607 1 1.00 4.24 .0608 1 1.00 4.14 .0609 1 1.00 4.17 .0610 1 1.00 4.46 .0611 1 1.00 4.06 .0612 1 1.00 4.15 .0613 1 1.00 4.26 .0614 1 1.00 4.28 .0615 1 1.00 4.12 .0616 1 1.00 4.12 .0617 1 1.00 4.45 .0618 1 1.00 4.12 .0619 1 1.00 4.39 .0620 1 1.00 4.53 .0621 1 1.00 4.44 .0622 1 1.00 4.32 .0623 1 1.00 4.27 .0624 1 1.00 4.46 .0625 1 1.00 4.52 .0626 1 1.00 4.32 .0627 1 1.00 4.51 .0628 1 1.00 4.58 .0629 1 1.00 4.40 .0630 1 1.00 4.45 .0631 1 1.00 4.49 .0632 1 1.00 4.29 .0633 1 1.00 4.40 .0634 1 1.00 4.42 .0635 1 1.00 4.41 .0636 1 1.00 4.56 .0637 1 1.00 4.52 .0638 1 1.00 4.67 .0639 1 1.00 4.51 .0640 1 1.00 4.63 .0641 1 1.00 4.79 .0642 1 1.00 4.75 .0643 1 1.00 4.67 .0644 1 1.00 4.78 .0645 2 1.00 4.77 .0646 1 1.00 4.81 .0647 1 1.00 4.98 .0648 1 1.00 4.72 .0649 1 1.00 4.78 .0650 1 1.00 4.96 .0651 1 1.00 5.01 .0652 1 1.00 5.09 .0653 1 1.00 4.87 .0654 2 1.00 5.05 .0655 1 1.00 5.15 .0656 1 1.00 4.82 .0657 1 1.00 4.81 .0658 1 1.00 5.06 .0659 1 1.00 5.29 .0660 2 1.00 6.73 .0661 2 1.00 5.99 .0662 1 1.00 5.31 .0663 1 1.00 5.00 .0664 1 1.00 5.17 .0665 1 1.00 5.12 .0666 1 1.00 5.39 .0667 1 1.00 5.14 .0668 1 1.00 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4.83 .1890 1 1.00 5.00 .1891 1 1.00 4.92 .1892 2 1.00 4.97 .1893 1 1.00 4.90 .1894 1 1.00 4.69 .1895 1 1.00 4.96 .1896 1 1.00 4.88 .1897 1 1.00 4.70 .1898 1 1.00 4.81 .1899 1 1.00 4.70 .1900 1 1.00 4.72 .1901 1 1.00 4.67 .1902 1 1.00 4.75 .1903 1 1.00 4.88 .1904 1 1.00 4.88 .1905 1 1.00 4.92 .1906 1 1.00 4.67 .1907 1 1.00 4.65 .1908 1 1.00 4.60 .1909 2 1.00 4.64 .1910 2 1.00 5.48 .1911 1 1.00 4.76 .1912 1 1.00 4.62 .1913 1 1.00 4.71 .1914 1 1.00 4.64 .1915 2 1.00 4.55 .1916 1 1.00 4.93 .1917 1 1.00 4.72 .1918 1 1.00 4.73 .1919 1 1.00 4.80 .1920 1 1.00 4.61 .1921 1 1.00 4.49 .1922 1 1.00 4.56 .1923 1 1.00 4.61 .1924 1 1.00 4.45 .1925 1 1.00 4.70 .1926 1 1.00 4.51 .1927 1 1.00 4.75 .1928 1 1.00 4.65 .1929 1 1.00 4.81 .1930 1 1.00 4.95 .1931 1 1.00 4.58 .1932 1 1.00 4.66 .1933 1 1.00 4.68 .1934 1 1.00 5.24 .1935 1 1.00 4.79 .1936 1 1.00 4.54 .1937 1 1.00 4.73 .1938 1 1.00 4.79 .1939 1 1.00 4.89 .1940 1 1.00 4.62 .1941 1 1.00 4.91 .1942 1 1.00 4.80 .1943 1 1.00 4.65 .1944 1 1.00 4.66 .1945 1 1.00 4.55 .1946 1 1.00 4.62 .1947 1 1.00 4.71 .1948 1 1.00 4.56 .1949 1 1.00 4.50 .1950 1 1.00 4.63 .1951 1 1.00 4.54 .1952 1 1.00 4.62 .1953 1 1.00 4.51 .1954 1 1.00 4.40 .1955 1 1.00 4.51 .1956 1 1.00 4.45 .1957 1 1.00 4.53 .1958 1 1.00 4.53 .1959 1 1.00 4.53 .1960 1 1.00 4.42 .1961 1 1.00 4.68 .1962 1 1.00 4.54 .1963 1 1.00 4.37 .1964 1 1.00 4.61 .1965 1 1.00 4.66 .1966 1 1.00 4.58 .1967 1 1.00 4.56 .1968 1 1.00 4.55 .1969 1 1.00 4.46 .1970 1 1.00 4.44 .1971 1 1.00 4.39 .1972 1 1.00 4.50 .1973 1 1.00 4.50 .1974 1 1.00 4.50 .1975 1 1.00 4.34 .1976 1 1.00 4.45 .1977 1 1.00 4.58 .1978 1 1.00 4.68 .1979 1 1.00 4.51 .1980 1 1.00 4.54 .1981 1 1.00 4.63 .1982 1 1.00 4.79 .1983 1 1.00 4.69 .1984 1 1.00 4.55 .1985 1 1.00 4.65 .1986 1 1.00 4.47 .1987 1 1.00 4.36 .1988 1 1.00 4.54 .1989 1 1.00 4.45 .1990 1 1.00 4.52 .1991 1 1.00 4.47 .1992 1 1.00 4.40 .1993 1 1.00 4.44 .1994 1 1.00 4.41 .1995 1 1.00 4.35 .1996 1 1.00 4.13 .1997 1 1.00 4.19 .1998 1 1.00 4.16 .1999 1 1.00 4.30 .2000 1 1.00 4.43 .2001 1 1.00 4.23 .2002 1 1.00 4.29 .2003 1 1.00 4.21 .2004 1 1.00 4.24 .2005 1 1.00 4.19 .2006 1 1.00 4.26 .2007 1 1.00 4.39 .2008 1 1.00 4.51 .2009 1 1.00 4.65 .2010 3 1.00 4.44 .2011 1 1.00 4.40 .2012 1 1.00 4.43 .2013 1 1.00 4.57 .2014 1 1.00 4.52 .2015 1 1.00 4.40 .2016 1 1.00 5.00 .2017 1 1.00 4.37 .2018 1 1.00 4.37 .2019 1 1.00 4.52 .2020 1 1.00 4.40 .2021 1 1.00 4.19 .2022 1 1.00 4.40 .2023 1 1.00 4.22 .2024 1 1.00 4.06 .2025 1 1.00 4.30 .2026 1 1.00 4.05 .2027 1 1.00 4.22 .2028 1 1.00 4.26 .2029 1 1.00 4.48 .2030 1 1.00 4.09 .2031 1 1.00 4.18 .2032 1 1.00 4.03 .2033 1 1.00 4.17 .2034 1 1.00 4.00 .2035 1 1.00 4.16 .2036 1 1.00 3.96 .2037 1 1.00 4.12 .2038 1 1.00 4.09 .2039 1 1.00 3.95 .2040 1 1.00 4.08 .2041 1 1.00 3.98 .2042 1 1.00 4.02 .2043 1 1.00 4.01 .2044 1 1.00 4.00 .2045 1 1.00 3.94 .2046 1 1.00 4.22 .2047 1 1.00 5.85 EXTRACT_IMAGE: r2: masked 506 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITFLATWIDTH: r2: Median spatial widths = 0.92 0.91 0.96 0.90 pix (LL LR UL UR) SPCALIB: r2: Using Cubic, median chi squareds: vs SPCALIB: r2: Found 0 bright pixels in extracted flat sdR-r2-00034673.fit SPCALIB: r2: Tracing flat # 2 of 2 SPCALIB: r2: Reading flat sdR-r2-00034676.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.54652 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 468.525 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 447. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.75895 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1319.83 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1299. DN is 0 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Tracing 320 fibers in sdR-r2-00034676.fit TRACE320CEN: r2: Big gap at fiber= 20, x= 155.13, dx= 8.10 TRACE320CEN: r2: Big gap at fiber= 40, x= 283.50, dx= 9.32 TRACE320CEN: r2: Big gap at fiber= 60, x= 409.95, dx= 8.05 TRACE320CEN: r2: Big gap at fiber= 80, x= 536.30, dx= 8.30 TRACE320CEN: r2: Big gap at fiber= 100, x= 662.42, dx= 8.32 TRACE320CEN: r2: Big gap at fiber= 140, x= 911.96, dx= 7.51 TRACE320CEN: r2: Big gap at fiber= 160, x=1037.33, dx= 8.29 TRACE320CEN: r2: Big gap at fiber= 180, x=1161.83, dx= 7.57 TRACE320CEN: r2: Big gap at fiber= 200, x=1287.04, dx= 8.02 TRACE320CEN: r2: Big gap at fiber= 220, x=1412.89, dx= 8.29 TRACE320CEN: r2: Big gap at fiber= 240, x=1538.47, dx= 7.89 TRACE320CEN: r2: Big gap at fiber= 260, x=1665.00, dx= 8.17 TRACE320CEN: r2: Big gap at fiber= 280, x=1791.37, dx= 8.14 TRACE320CEN: r2: Big gap at fiber= 300, x=1919.89, dx= 9.49 TRACE320CRUDE: r2: Warning: Fixing traces: 54 168 169 223 224 228 241 247 248 263 275 276 292 311 318 319 SPCALIB: r2: Fitting traces in sdR-r2-00034676.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 1 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 1 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 27 56 2048 13 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 79 113 2048 1 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 2 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 7 166 2048 88 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 10 184 2048 68 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 14 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 4 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 3 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 12 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 1 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 17 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 348 SPCALIB: r2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 2 1.00 2.63 .0004 1 1.00 2.83 .0005 1 1.00 2.72 .0006 1 1.00 2.65 .0007 1 1.00 2.63 .0008 1 1.00 2.73 .0009 1 1.00 2.80 .0010 1 1.00 2.66 .0011 1 1.00 2.75 .0012 1 1.00 2.81 .0013 1 1.00 2.84 .0014 1 1.00 2.83 .0015 1 1.00 2.73 .0016 1 1.00 2.82 .0017 1 1.00 2.92 .0018 1 1.00 2.64 .0019 1 1.00 2.88 .0020 1 1.00 2.92 .0021 1 1.00 2.81 .0022 1 1.00 2.92 .0023 2 1.00 2.98 .0024 1 1.00 2.84 .0025 1 1.00 2.99 .0026 2 1.00 2.56 .0027 2 1.00 2.55 .0028 2 1.00 2.51 .0029 2 1.00 2.62 .0030 2 1.00 2.62 .0031 2 1.00 2.57 .0032 2 1.00 2.61 .0033 2 1.00 2.64 .0034 2 1.00 2.83 .0035 2 1.00 2.53 .0036 2 1.00 2.69 .0037 2 1.00 2.76 .0038 2 1.00 2.71 .0039 2 1.00 2.66 .0040 2 1.00 2.73 .0041 2 1.00 2.75 .0042 2 1.00 2.79 .0043 2 1.00 2.60 .0044 2 1.00 2.69 .0045 2 1.00 2.91 .0046 2 1.00 2.56 .0047 2 1.00 2.71 .0048 2 1.00 2.71 .0049 2 1.00 2.69 .0050 2 1.00 2.69 .0051 2 1.00 2.71 .0052 2 1.00 2.57 .0053 2 1.00 2.93 .0054 2 1.00 2.89 .0055 2 1.00 3.26 .0056 2 1.00 2.62 .0057 2 1.00 2.86 .0058 2 1.00 2.82 .0059 2 1.00 2.90 .0060 2 1.00 2.92 .0061 2 1.00 2.81 .0062 2 1.00 2.74 .0063 2 1.00 2.76 .0064 2 1.00 2.61 .0065 2 1.00 2.71 .0066 2 1.00 2.77 .0067 2 1.00 2.70 .0068 2 1.00 2.77 .0069 2 1.00 2.63 .0070 2 1.00 2.81 .0071 2 1.00 2.86 .0072 2 1.00 2.78 .0073 2 1.00 2.71 .0074 2 1.00 2.84 .0075 2 1.00 2.83 .0076 2 1.00 2.77 .0077 2 1.00 2.73 .0078 2 1.00 2.79 .0079 2 1.00 2.90 .0080 2 1.00 2.74 .0081 2 1.00 2.71 .0082 2 1.00 2.85 .0083 2 1.00 2.83 .0084 2 1.00 2.71 .0085 2 1.00 2.86 .0086 2 1.00 2.82 .0087 2 1.00 2.82 .0088 2 1.00 2.91 .0089 2 1.00 2.80 .0090 2 1.00 2.74 .0091 2 1.00 2.79 .0092 2 1.00 2.94 .0093 2 1.00 2.83 .0094 2 1.00 2.90 .0095 2 1.00 2.96 .0096 2 1.00 3.16 .0097 2 1.00 2.91 .0098 2 1.00 3.03 .0099 2 1.00 3.04 .0100 2 1.00 2.91 .0101 2 1.00 2.71 .0102 2 1.00 2.81 .0103 2 1.00 2.80 .0104 2 1.00 2.79 .0105 3 1.00 2.76 .0106 2 1.00 2.87 .0107 2 1.00 3.04 .0108 2 1.00 2.89 .0109 2 1.00 2.84 .0110 2 1.00 2.77 .0111 2 1.00 2.94 .0112 2 1.00 3.20 .0113 2 1.00 3.31 .0114 2 1.00 2.77 .0115 2 1.00 2.77 .0116 2 1.00 2.90 .0117 2 1.00 2.80 .0118 2 1.00 2.89 .0119 2 1.00 2.71 .0120 2 1.00 2.80 .0121 2 1.00 2.76 .0122 2 1.00 2.87 .0123 2 1.00 2.77 .0124 2 1.00 2.94 .0125 2 1.00 2.97 .0126 2 1.00 2.91 .0127 2 1.00 3.05 .0128 2 1.00 2.97 .0129 2 1.00 3.09 .0130 2 1.00 3.11 .0131 2 1.00 3.01 .0132 2 1.00 3.04 .0133 2 1.00 3.27 .0134 2 1.00 3.05 .0135 2 1.00 3.14 .0136 2 1.00 3.05 .0137 2 1.00 3.02 .0138 2 1.00 3.14 .0139 2 1.00 3.05 .0140 2 1.00 3.17 .0141 2 1.00 3.32 .0142 2 1.00 3.12 .0143 2 1.00 3.34 .0144 2 1.00 3.21 .0145 2 1.00 3.23 .0146 2 1.00 3.29 .0147 2 1.00 3.32 .0148 2 1.00 3.23 .0149 2 1.00 3.39 .0150 2 1.00 3.73 .0151 2 1.00 3.36 .0152 2 1.00 3.65 .0153 2 1.00 3.51 .0154 2 1.00 3.49 .0155 2 1.00 3.58 .0156 2 1.00 4.29 .0157 2 1.00 3.50 .0158 2 1.00 3.70 .0159 3 1.00 3.52 .0160 3 1.00 3.60 .0161 2 1.00 3.58 .0162 2 1.00 3.76 .0163 2 1.00 3.54 .0164 2 1.00 3.73 .0165 2 1.00 3.93 .0166 2 1.00 3.80 .0167 2 1.00 3.79 .0168 2 1.00 3.88 .0169 2 1.00 3.83 .0170 2 1.00 3.77 .0171 2 1.00 3.87 .0172 2 1.00 3.72 .0173 2 1.00 3.73 .0174 2 1.00 3.83 .0175 2 1.00 3.85 .0176 2 1.00 3.82 .0177 2 1.00 3.92 .0178 2 1.00 3.81 .0179 2 1.00 4.02 .0180 2 1.00 3.80 .0181 2 1.00 3.88 .0182 2 1.00 4.08 .0183 2 1.00 4.05 .0184 2 1.00 3.94 .0185 2 1.00 4.11 .0186 2 1.00 3.95 .0187 2 1.00 3.98 .0188 2 1.00 4.03 .0189 2 1.00 3.83 .0190 2 1.00 4.04 .0191 2 1.00 3.79 .0192 2 1.00 3.98 .0193 2 1.00 4.01 .0194 2 1.00 3.86 .0195 2 1.00 3.79 .0196 2 1.00 4.01 .0197 2 1.00 3.81 .0198 2 1.00 3.86 .0199 2 1.00 3.70 .0200 2 1.00 3.80 .0201 2 1.00 3.75 .0202 2 1.00 3.75 .0203 2 1.00 3.80 .0204 2 1.00 3.75 .0205 2 1.00 3.79 .0206 1 1.00 4.25 .0207 1 1.00 4.17 .0208 1 1.00 4.02 .0209 1 1.00 4.22 .0210 1 1.00 3.99 .0211 1 1.00 4.13 .0212 1 1.00 4.16 .0213 1 1.00 3.96 .0214 1 1.00 3.95 .0215 1 1.00 3.99 .0216 1 1.00 4.02 .0217 1 1.00 3.97 .0218 1 1.00 3.96 .0219 1 1.00 4.15 .0220 1 1.00 3.67 .0221 1 1.00 3.93 .0222 1 1.00 3.79 .0223 1 1.00 3.80 .0224 1 1.00 3.92 .0225 1 1.00 3.95 .0226 1 1.00 3.71 .0227 1 1.00 3.96 .0228 1 1.00 3.79 .0229 2 1.00 3.73 .0230 1 1.00 3.87 .0231 1 1.00 3.74 .0232 1 1.00 3.85 .0233 1 1.00 3.78 .0234 1 1.00 3.64 .0235 1 1.00 3.65 .0236 1 1.00 3.76 .0237 1 1.00 3.58 .0238 1 1.00 3.61 .0239 1 1.00 4.01 .0240 1 1.00 3.57 .0241 1 1.00 3.73 .0242 1 1.00 3.63 .0243 1 1.00 3.58 .0244 1 1.00 3.63 .0245 1 1.00 3.53 .0246 1 1.00 3.62 .0247 1 1.00 3.93 .0248 1 1.00 3.58 .0249 1 1.00 3.72 .0250 1 1.00 3.76 .0251 1 1.00 3.70 .0252 1 1.00 3.59 .0253 1 1.00 3.76 .0254 1 1.00 3.76 .0255 1 1.00 3.79 .0256 1 1.00 3.94 .0257 1 1.00 3.77 .0258 1 1.00 3.82 .0259 1 1.00 3.78 .0260 1 1.00 3.90 .0261 1 1.00 3.63 .0262 1 1.00 3.82 .0263 1 1.00 3.81 .0264 1 1.00 4.11 .0265 2 1.00 4.30 .0266 1 1.00 4.03 .0267 1 1.00 4.05 .0268 1 1.00 3.86 .0269 1 1.00 3.96 .0270 1 1.00 4.19 .0271 1 1.00 3.94 .0272 1 1.00 4.38 .0273 1 1.00 4.04 .0274 1 1.00 3.99 .0275 1 1.00 3.96 .0276 1 1.00 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4.64 .1498 1 1.00 4.97 .1499 1 1.00 4.57 .1500 1 1.00 4.60 .1501 1 1.00 4.62 .1502 1 1.00 4.65 .1503 1 1.00 5.00 .1504 1 1.00 4.64 .1505 1 1.00 4.70 .1506 1 1.00 4.31 .1507 1 1.00 4.65 .1508 1 1.00 4.56 .1509 1 1.00 4.59 .1510 1 1.00 4.58 .1511 1 1.00 4.58 .1512 1 1.00 4.60 .1513 1 1.00 4.68 .1514 1 1.00 4.46 .1515 1 1.00 4.65 .1516 1 1.00 4.68 .1517 1 1.00 4.71 .1518 1 1.00 4.59 .1519 1 1.00 4.49 .1520 1 1.00 4.72 .1521 1 1.00 4.39 .1522 1 1.00 4.53 .1523 1 1.00 4.63 .1524 1 1.00 4.42 .1525 1 1.00 4.42 .1526 1 1.00 4.63 .1527 1 1.00 4.57 .1528 1 1.00 4.59 .1529 1 1.00 4.54 .1530 1 1.00 4.67 .1531 1 1.00 4.51 .1532 1 1.00 4.66 .1533 1 1.00 4.57 .1534 1 1.00 4.60 .1535 1 1.00 4.50 .1536 1 1.00 4.60 .1537 1 1.00 4.59 .1538 1 1.00 4.52 .1539 1 1.00 4.59 .1540 1 1.00 4.74 .1541 1 1.00 4.67 .1542 1 1.00 4.59 .1543 1 1.00 4.56 .1544 1 1.00 4.72 .1545 1 1.00 4.39 .1546 1 1.00 4.28 .1547 1 1.00 4.54 .1548 1 1.00 4.53 .1549 1 1.00 4.52 .1550 1 1.00 4.49 .1551 1 1.00 4.62 .1552 1 1.00 4.43 .1553 1 1.00 4.48 .1554 1 1.00 4.84 .1555 1 1.00 4.57 .1556 1 1.00 4.84 .1557 1 1.00 4.68 .1558 1 1.00 4.85 .1559 1 1.00 4.56 .1560 1 1.00 4.44 .1561 1 1.00 4.67 .1562 1 1.00 4.64 .1563 1 1.00 4.51 .1564 1 1.00 4.87 .1565 1 1.00 4.74 .1566 1 1.00 4.70 .1567 1 1.00 4.71 .1568 1 1.00 4.66 .1569 1 1.00 4.81 .1570 1 1.00 4.68 .1571 1 1.00 4.71 .1572 1 1.00 4.62 .1573 1 1.00 4.56 .1574 1 1.00 4.34 .1575 1 1.00 4.43 .1576 1 1.00 4.47 .1577 1 1.00 4.58 .1578 1 1.00 4.48 .1579 1 1.00 4.48 .1580 1 1.00 4.42 .1581 1 1.00 4.58 .1582 1 1.00 4.73 .1583 1 1.00 4.57 .1584 1 1.00 4.63 .1585 1 1.00 4.43 .1586 1 1.00 4.66 .1587 1 1.00 4.65 .1588 1 1.00 4.64 .1589 1 1.00 4.53 .1590 1 1.00 4.69 .1591 1 1.00 4.67 .1592 1 1.00 4.71 .1593 1 1.00 4.63 .1594 1 1.00 4.64 .1595 1 1.00 4.75 .1596 1 1.00 4.69 .1597 2 1.00 4.55 .1598 1 1.00 4.68 .1599 1 1.00 4.75 .1600 1 1.00 4.84 .1601 1 1.00 4.65 .1602 1 1.00 4.62 .1603 1 1.00 4.97 .1604 1 1.00 4.61 .1605 1 1.00 4.55 .1606 1 1.00 4.60 .1607 1 1.00 4.73 .1608 1 1.00 4.75 .1609 1 1.00 4.79 .1610 1 1.00 4.61 .1611 1 1.00 4.60 .1612 1 1.00 4.66 .1613 1 1.00 4.81 .1614 1 1.00 4.81 .1615 1 1.00 4.58 .1616 2 1.00 4.73 .1617 1 1.00 4.92 .1618 1 1.00 4.69 .1619 1 1.00 4.82 .1620 1 1.00 4.95 .1621 1 1.00 5.26 .1622 1 1.00 4.65 .1623 1 1.00 5.14 .1624 1 1.00 4.85 .1625 1 1.00 4.68 .1626 1 1.00 5.03 .1627 1 1.00 4.61 .1628 1 1.00 4.87 .1629 1 1.00 4.60 .1630 1 1.00 4.78 .1631 1 1.00 4.67 .1632 1 1.00 4.49 .1633 1 1.00 4.62 .1634 1 1.00 4.72 .1635 1 1.00 5.04 .1636 1 1.00 4.82 .1637 1 1.00 4.66 .1638 1 1.00 4.58 .1639 1 1.00 4.64 .1640 1 1.00 4.76 .1641 1 1.00 4.44 .1642 1 1.00 4.72 .1643 1 1.00 4.71 .1644 1 1.00 4.61 .1645 1 1.00 4.69 .1646 1 1.00 4.66 .1647 1 1.00 4.74 .1648 1 1.00 4.95 .1649 1 1.00 4.62 .1650 1 1.00 4.72 .1651 1 1.00 4.80 .1652 1 1.00 4.79 .1653 1 1.00 4.67 .1654 1 1.00 4.51 .1655 1 1.00 4.83 .1656 1 1.00 4.55 .1657 1 1.00 4.75 .1658 1 1.00 4.70 .1659 1 1.00 4.92 .1660 1 1.00 4.69 .1661 1 1.00 4.49 .1662 1 1.00 4.54 .1663 1 1.00 4.57 .1664 1 1.00 4.77 .1665 1 1.00 4.49 .1666 1 1.00 4.51 .1667 1 1.00 4.61 .1668 1 1.00 4.48 .1669 1 1.00 4.48 .1670 1 1.00 4.68 .1671 1 1.00 4.77 .1672 2 1.00 4.64 .1673 1 1.00 4.93 .1674 1 1.00 4.59 .1675 1 1.00 4.85 .1676 1 1.00 4.89 .1677 1 1.00 4.63 .1678 1 1.00 4.73 .1679 1 1.00 4.55 .1680 1 1.00 4.63 .1681 1 1.00 4.46 .1682 1 1.00 4.48 .1683 1 1.00 4.57 .1684 1 1.00 4.40 .1685 1 1.00 4.57 .1686 1 1.00 4.53 .1687 1 1.00 4.49 .1688 1 1.00 4.44 .1689 1 1.00 4.49 .1690 1 1.00 4.30 .1691 1 1.00 4.45 .1692 1 1.00 4.44 .1693 1 1.00 4.50 .1694 1 1.00 4.36 .1695 1 1.00 4.47 .1696 1 1.00 4.56 .1697 1 1.00 4.33 .1698 1 1.00 4.35 .1699 1 1.00 4.50 .1700 1 1.00 4.64 .1701 1 1.00 4.35 .1702 1 1.00 4.47 .1703 1 1.00 4.31 .1704 1 1.00 4.36 .1705 1 1.00 4.23 .1706 1 1.00 4.24 .1707 1 1.00 4.35 .1708 1 1.00 4.37 .1709 1 1.00 4.47 .1710 1 1.00 4.13 .1711 1 1.00 4.42 .1712 1 1.00 4.29 .1713 1 1.00 4.44 .1714 1 1.00 4.38 .1715 1 1.00 4.37 .1716 1 1.00 4.34 .1717 1 1.00 4.34 .1718 1 1.00 4.48 .1719 1 1.00 4.23 .1720 1 1.00 4.29 .1721 1 1.00 4.38 .1722 1 1.00 4.43 .1723 1 1.00 4.32 .1724 1 1.00 4.30 .1725 1 1.00 4.36 .1726 1 1.00 4.36 .1727 1 1.00 4.26 .1728 1 1.00 4.17 .1729 1 1.00 4.38 .1730 1 1.00 4.30 .1731 1 1.00 4.33 .1732 1 1.00 4.30 .1733 1 1.00 4.22 .1734 1 1.00 4.18 .1735 1 1.00 4.37 .1736 1 1.00 4.43 .1737 1 1.00 4.18 .1738 1 1.00 4.27 .1739 1 1.00 4.35 .1740 1 1.00 4.37 .1741 2 1.00 4.29 .1742 1 1.00 4.51 .1743 1 1.00 4.30 .1744 1 1.00 4.27 .1745 1 1.00 4.34 .1746 1 1.00 4.16 .1747 1 1.00 4.30 .1748 1 1.00 4.22 .1749 1 1.00 4.12 .1750 1 1.00 4.20 .1751 1 1.00 4.34 .1752 1 1.00 4.18 .1753 1 1.00 4.22 .1754 1 1.00 4.11 .1755 1 1.00 4.23 .1756 1 1.00 4.21 .1757 1 1.00 4.19 .1758 1 1.00 4.32 .1759 1 1.00 4.26 .1760 1 1.00 4.33 .1761 1 1.00 4.29 .1762 1 1.00 4.14 .1763 1 1.00 4.35 .1764 1 1.00 4.14 .1765 1 1.00 4.15 .1766 1 1.00 4.16 .1767 1 1.00 4.29 .1768 1 1.00 4.45 .1769 1 1.00 4.21 .1770 1 1.00 4.39 .1771 1 1.00 4.20 .1772 1 1.00 4.12 .1773 1 1.00 4.28 .1774 1 1.00 4.39 .1775 1 1.00 4.12 .1776 1 1.00 4.42 .1777 1 1.00 4.37 .1778 1 1.00 4.32 .1779 1 1.00 5.02 .1780 1 1.00 4.31 .1781 1 1.00 4.38 .1782 1 1.00 4.44 .1783 1 1.00 4.52 .1784 1 1.00 4.47 .1785 1 1.00 4.18 .1786 1 1.00 4.42 .1787 1 1.00 4.49 .1788 1 1.00 4.37 .1789 1 1.00 4.49 .1790 1 1.00 4.27 .1791 1 1.00 4.33 .1792 1 1.00 4.49 .1793 1 1.00 4.29 .1794 1 1.00 4.35 .1795 1 1.00 4.27 .1796 1 1.00 4.46 .1797 1 1.00 4.29 .1798 1 1.00 4.33 .1799 1 1.00 4.39 .1800 1 1.00 4.34 .1801 1 1.00 4.41 .1802 1 1.00 4.41 .1803 1 1.00 4.74 .1804 1 1.00 4.44 .1805 1 1.00 4.29 .1806 1 1.00 4.29 .1807 1 1.00 4.36 .1808 1 1.00 4.32 .1809 1 1.00 4.30 .1810 1 1.00 4.29 .1811 1 1.00 4.43 .1812 1 1.00 4.48 .1813 2 1.00 4.76 .1814 1 1.00 5.04 .1815 1 1.00 4.54 .1816 1 1.00 4.60 .1817 1 1.00 4.57 .1818 1 1.00 4.54 .1819 2 1.00 4.64 .1820 1 1.00 4.63 .1821 1 1.00 4.54 .1822 1 1.00 4.63 .1823 1 1.00 4.70 .1824 1 1.00 4.72 .1825 1 1.00 5.03 .1826 1 1.00 4.63 .1827 1 1.00 4.60 .1828 1 1.00 4.60 .1829 1 1.00 4.66 .1830 1 1.00 4.58 .1831 1 1.00 4.80 .1832 1 1.00 4.71 .1833 1 1.00 4.57 .1834 1 1.00 4.56 .1835 1 1.00 4.58 .1836 1 1.00 4.57 .1837 1 1.00 4.64 .1838 1 1.00 4.81 .1839 1 1.00 4.84 .1840 1 1.00 4.59 .1841 1 1.00 4.73 .1842 1 1.00 4.65 .1843 1 1.00 4.86 .1844 1 1.00 4.77 .1845 1 1.00 4.70 .1846 1 1.00 4.61 .1847 1 1.00 4.61 .1848 1 1.00 4.61 .1849 1 1.00 5.21 .1850 1 1.00 4.70 .1851 1 1.00 4.58 .1852 1 1.00 4.49 .1853 1 1.00 4.63 .1854 1 1.00 4.66 .1855 1 1.00 4.61 .1856 1 1.00 4.55 .1857 1 1.00 4.70 .1858 1 1.00 4.50 .1859 1 1.00 4.79 .1860 1 1.00 4.64 .1861 1 1.00 4.69 .1862 1 1.00 4.83 .1863 1 1.00 4.82 .1864 1 1.00 4.70 .1865 1 1.00 4.74 .1866 1 1.00 4.76 .1867 1 1.00 4.85 .1868 1 1.00 4.74 .1869 1 1.00 4.93 .1870 1 1.00 4.82 .1871 1 1.00 5.02 .1872 1 1.00 4.59 .1873 1 1.00 4.97 .1874 1 1.00 4.61 .1875 2 1.00 5.37 .1876 1 1.00 4.87 .1877 1 1.00 4.94 .1878 1 1.00 4.87 .1879 1 1.00 4.73 .1880 1 1.00 4.92 .1881 1 1.00 4.69 .1882 1 1.00 4.79 .1883 1 1.00 5.04 .1884 1 1.00 4.86 .1885 1 1.00 5.06 .1886 1 1.00 4.98 .1887 1 1.00 5.31 .1888 1 1.00 5.18 .1889 1 1.00 4.73 .1890 1 1.00 4.85 .1891 1 1.00 4.86 .1892 1 1.00 4.87 .1893 1 1.00 4.93 .1894 1 1.00 4.60 .1895 1 1.00 4.88 .1896 1 1.00 4.95 .1897 1 1.00 4.64 .1898 1 1.00 4.87 .1899 1 1.00 4.69 .1900 1 1.00 4.53 .1901 1 1.00 4.42 .1902 1 1.00 4.76 .1903 1 1.00 4.77 .1904 1 1.00 4.30 .1905 1 1.00 4.90 .1906 1 1.00 4.91 .1907 1 1.00 4.61 .1908 1 1.00 4.61 .1909 1 1.00 4.54 .1910 1 1.00 4.65 .1911 1 1.00 4.71 .1912 1 1.00 4.85 .1913 1 1.00 4.71 .1914 1 1.00 5.03 .1915 2 1.00 4.49 .1916 1 1.00 4.52 .1917 1 1.00 4.87 .1918 1 1.00 4.48 .1919 1 1.00 4.62 .1920 1 1.00 4.87 .1921 1 1.00 4.53 .1922 1 1.00 4.61 .1923 1 1.00 4.68 .1924 1 1.00 4.48 .1925 1 1.00 4.56 .1926 1 1.00 4.65 .1927 1 1.00 4.68 .1928 1 1.00 4.62 .1929 1 1.00 4.92 .1930 1 1.00 4.40 .1931 1 1.00 5.03 .1932 1 1.00 4.73 .1933 1 1.00 4.67 .1934 1 1.00 4.56 .1935 1 1.00 4.87 .1936 1 1.00 4.79 .1937 1 1.00 4.95 .1938 1 1.00 4.80 .1939 1 1.00 4.59 .1940 1 1.00 4.77 .1941 1 1.00 4.77 .1942 1 1.00 4.72 .1943 1 1.00 4.64 .1944 1 1.00 4.62 .1945 1 1.00 4.45 .1946 1 1.00 4.49 .1947 1 1.00 4.52 .1948 1 1.00 4.40 .1949 1 1.00 4.56 .1950 1 1.00 4.46 .1951 1 1.00 4.38 .1952 2 1.00 4.52 .1953 1 1.00 4.26 .1954 1 1.00 4.38 .1955 1 1.00 4.35 .1956 1 1.00 4.48 .1957 1 1.00 4.44 .1958 1 1.00 4.65 .1959 1 1.00 4.49 .1960 1 1.00 4.52 .1961 1 1.00 4.43 .1962 1 1.00 4.49 .1963 1 1.00 4.44 .1964 1 1.00 4.46 .1965 1 1.00 4.46 .1966 1 1.00 4.58 .1967 1 1.00 4.51 .1968 1 1.00 4.29 .1969 1 1.00 4.57 .1970 1 1.00 4.72 .1971 1 1.00 4.77 .1972 1 1.00 4.49 .1973 1 1.00 4.63 .1974 1 1.00 4.51 .1975 1 1.00 4.39 .1976 1 1.00 4.30 .1977 1 1.00 4.35 .1978 1 1.00 4.43 .1979 1 1.00 4.36 .1980 1 1.00 4.58 .1981 1 1.00 4.65 .1982 1 1.00 4.65 .1983 1 1.00 4.38 .1984 1 1.00 4.57 .1985 1 1.00 4.44 .1986 1 1.00 4.46 .1987 1 1.00 4.35 .1988 1 1.00 4.54 .1989 1 1.00 4.64 .1990 1 1.00 4.57 .1991 1 1.00 4.44 .1992 1 1.00 4.34 .1993 1 1.00 4.21 .1994 1 1.00 4.44 .1995 1 1.00 4.32 .1996 1 1.00 4.32 .1997 1 1.00 4.21 .1998 1 1.00 4.22 .1999 1 1.00 4.24 .2000 1 1.00 4.36 .2001 1 1.00 4.27 .2002 1 1.00 4.27 .2003 1 1.00 4.16 .2004 1 1.00 4.10 .2005 1 1.00 4.17 .2006 1 1.00 4.36 .2007 1 1.00 4.23 .2008 1 1.00 4.36 .2009 1 1.00 4.93 .2010 1 1.00 4.52 .2011 1 1.00 4.75 .2012 2 1.00 4.51 .2013 1 1.00 4.67 .2014 2 1.00 4.47 .2015 2 1.00 4.41 .2016 2 1.00 4.54 .2017 2 1.00 4.56 .2018 2 1.00 4.58 .2019 1 1.00 4.59 .2020 1 1.00 4.52 .2021 1 1.00 4.52 .2022 1 1.00 4.26 .2023 1 1.00 4.19 .2024 1 1.00 4.28 .2025 1 1.00 4.19 .2026 1 1.00 4.24 .2027 1 1.00 4.47 .2028 1 1.00 4.02 .2029 1 1.00 4.08 .2030 1 1.00 4.17 .2031 1 1.00 4.12 .2032 1 1.00 4.17 .2033 1 1.00 3.87 .2034 1 1.00 4.13 .2035 1 1.00 3.94 .2036 1 1.00 4.29 .2037 1 1.00 4.10 .2038 1 1.00 4.06 .2039 1 1.00 3.82 .2040 1 1.00 3.96 .2041 1 1.00 3.99 .2042 1 1.00 4.04 .2043 1 1.00 3.77 .2044 1 1.00 4.19 .2045 1 1.00 4.20 .2046 1 1.00 4.03 .2047 1 1.00 4.12 EXTRACT_IMAGE: r2: masked 490 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITFLATWIDTH: r2: Median spatial widths = 0.92 0.91 0.96 0.90 pix (LL LR UL UR) SPCALIB: r2: Using Cubic, median chi squareds: vs SPCALIB: r2: Found 0 bright pixels in extracted flat sdR-r2-00034676.fit SPCALIB: r2: Extracting arc # 1 of 2 SPCALIB: r2: Reading arc sdR-r2-00034674.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.48808 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 469.435 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.65861 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1317.83 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1297. DN is 0 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Fraction of bad pixels in arc = 4.76837e-05 SPCALIB: r2: Arc sdR-r2-00034674.fit paired with flat sdR-r2-00034673.fit MATCH_TRACE: r2: Iteration: 0 Pixels Rejected: 11387 Finished? 0 MATCH_TRACE: r2: Iteration: 1 Pixels Rejected: 450 Finished? 0 MATCH_TRACE: r2: Iteration: 2 Pixels Rejected: 96 Finished? 0 MATCH_TRACE: r2: Iteration: 3 Pixels Rejected: 15 Finished? 0 MATCH_TRACE: r2: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r2: Iteration: 5 Pixels Rejected: 0 Finished? 1 SPCALIB: r2: Shifting traces with match_trace -0.00732422 SPCALIB: r2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 1.28 .0004 1 0.92 1.38 .0005 1 0.92 1.37 .0006 1 0.92 1.28 .0007 1 0.92 1.42 .0008 1 0.92 1.57 .0009 1 0.92 1.60 .0010 1 0.92 1.66 .0011 1 0.92 1.97 .0012 3 0.92 1.94 .0013 2 0.92 2.51 .0014 1 0.92 2.48 .0015 1 0.92 2.67 .0016 1 0.92 2.59 .0017 1 0.92 3.05 .0018 1 0.92 2.40 .0019 1 0.92 2.78 .0020 3 0.92 2.65 .0021 2 0.92 2.34 .0022 1 0.92 2.24 .0023 1 0.92 2.31 .0024 1 0.92 2.49 .0025 1 0.92 2.52 .0026 1 0.92 2.56 .0027 1 0.92 2.33 .0028 1 0.92 2.40 .0029 1 0.92 2.38 .0030 1 0.92 2.29 .0031 1 0.92 2.48 .0032 1 0.92 3.27 .0033 1 0.92 2.77 .0034 1 0.92 2.30 .0035 1 0.92 2.21 .0036 2 0.92 2.18 .0037 2 0.92 1.65 .0038 1 0.92 1.48 .0039 1 0.92 1.55 .0040 1 0.92 1.71 .0041 1 0.92 1.57 .0042 1 0.92 1.66 .0043 2 0.92 1.74 .0044 2 0.92 1.83 .0045 1 0.92 1.85 .0046 1 0.92 1.90 .0047 1 0.92 1.75 .0048 1 0.92 1.72 .0049 1 0.92 1.69 .0050 1 0.92 1.65 .0051 1 0.92 1.76 .0052 1 0.92 2.35 .0053 1 0.92 1.94 .0054 1 0.92 1.45 .0055 1 0.92 1.80 .0056 1 0.92 2.05 .0057 1 0.92 2.11 .0058 1 0.92 2.24 .0059 1 0.92 2.50 .0060 1 0.92 2.84 .0061 1 0.92 2.42 .0062 1 0.92 2.45 .0063 1 0.92 2.17 .0064 1 0.92 1.91 .0065 1 0.92 1.80 .0066 1 0.92 1.70 .0067 1 0.92 1.52 .0068 1 0.92 1.55 .0069 1 0.92 1.50 .0070 1 0.92 1.68 .0071 2 0.92 1.89 .0072 2 0.92 1.89 .0073 1 0.92 2.03 .0074 1 0.92 2.08 .0075 1 0.92 2.07 .0076 1 0.92 2.29 .0077 2 0.92 2.28 .0078 2 0.92 2.26 .0079 2 0.92 2.45 .0080 2 0.92 2.36 .0081 1 0.92 2.65 .0082 1 0.92 2.43 .0083 1 0.92 2.40 .0084 1 0.92 2.41 .0085 1 0.92 2.43 .0086 1 0.92 2.78 .0087 1 0.92 2.94 .0088 1 0.92 3.09 .0089 1 0.92 2.83 .0090 1 0.92 2.80 .0091 1 0.92 2.75 .0092 1 0.92 2.50 .0093 1 0.92 2.66 .0094 1 0.92 3.34 .0095 1 0.92 4.03 .0096 1 0.92 2.27 .0097 1 0.92 2.17 .0098 1 0.92 2.30 .0099 2 0.92 1.23 .0100 2 0.92 1.25 .0101 2 0.92 1.18 .0102 1 0.92 1.27 .0103 2 0.92 1.27 .0104 3 0.92 1.29 .0105 1 0.92 1.18 .0106 2 0.92 1.21 .0107 2 0.92 1.37 .0108 1 0.92 1.31 .0109 1 0.92 1.23 .0110 1 0.92 1.21 .0111 1 0.92 1.25 .0112 1 0.92 1.26 .0113 1 0.92 1.32 .0114 1 0.92 1.54 .0115 1 0.92 1.63 .0116 1 0.92 1.69 .0117 1 0.92 1.67 .0118 1 0.92 1.62 .0119 1 0.92 1.45 .0120 1 0.92 1.39 .0121 1 0.92 1.28 .0122 1 0.92 1.32 .0123 1 0.92 1.32 .0124 1 0.92 1.30 .0125 1 0.92 1.14 .0126 1 0.92 1.15 .0127 1 0.92 1.20 .0128 1 0.92 1.20 .0129 1 0.92 1.39 .0130 1 0.92 1.22 .0131 1 0.92 1.31 .0132 1 0.92 1.25 .0133 1 0.92 1.27 .0134 1 0.92 1.46 .0135 2 0.92 1.37 .0136 3 0.92 1.31 .0137 2 0.92 1.31 .0138 2 0.92 1.42 .0139 1 0.92 1.39 .0140 1 0.92 1.36 .0141 1 0.92 1.32 .0142 1 0.92 1.59 .0143 1 0.92 2.62 .0144 1 0.92 3.30 .0145 1 0.92 3.66 .0146 1 0.92 3.74 .0147 1 0.92 4.13 .0148 1 0.92 3.92 .0149 1 0.92 3.75 .0150 1 0.92 3.80 .0151 1 0.92 3.35 .0152 1 0.92 3.16 .0153 1 0.92 2.88 .0154 1 0.92 2.58 .0155 1 0.92 2.51 .0156 1 0.92 2.10 .0157 1 0.92 3.20 .0158 1 0.92 4.81 .0159 1 0.92 5.93 .0160 1 0.92 6.06 .0161 1 0.92 6.69 .0162 1 0.92 7.65 .0163 1 0.92 7.24 .0164 1 0.92 8.06 .0165 2 0.92 6.91 .0166 2 0.92 6.01 .0167 2 0.92 5.69 .0168 1 0.92 6.31 .0169 1 0.92 5.20 .0170 1 0.92 5.56 .0171 1 0.92 5.56 .0172 1 0.92 6.39 .0173 1 0.92 7.19 .0174 1 0.92 7.62 .0175 1 0.92 7.45 .0176 1 0.92 7.28 .0177 1 0.92 7.38 .0178 1 0.92 7.66 .0179 2 0.92 6.62 .0180 3 0.92 7.24 .0181 2 0.92 9.26 .0182 2 0.92 7.23 .0183 1 0.92 7.35 .0184 1 0.92 6.58 .0185 1 0.92 6.11 .0186 1 0.92 6.37 .0187 1 0.92 6.79 .0188 1 0.92 7.81 .0189 1 0.92 10.07 .0190 1 0.92 11.62 .0191 1 0.92 11.64 .0192 1 0.92 12.00 .0193 1 0.92 12.88 .0194 1 0.92 12.23 .0195 1 0.92 14.61 .0196 1 0.92 14.63 .0197 1 0.92 9.29 .0198 1 0.92 8.20 .0199 1 0.92 8.32 .0200 2 0.92 4.48 .0201 1 0.92 4.41 .0202 1 0.92 4.71 .0203 1 0.92 5.96 .0204 1 0.92 6.81 .0205 1 0.92 7.47 .0206 1 0.92 7.82 .0207 1 0.92 8.37 .0208 1 0.92 8.28 .0209 1 0.92 9.44 .0210 1 0.92 9.59 .0211 2 0.92 8.68 .0212 2 0.92 8.68 .0213 1 0.92 9.16 .0214 1 0.92 9.08 .0215 1 0.92 9.17 .0216 1 0.92 9.86 .0217 1 0.92 10.18 .0218 1 0.92 11.59 .0219 1 0.92 12.30 .0220 1 0.92 12.70 .0221 1 0.92 12.31 .0222 1 0.92 11.92 .0223 1 0.92 11.25 .0224 1 0.92 10.29 .0225 1 0.92 10.88 .0226 1 0.92 14.46 .0227 1 0.92 13.86 .0228 1 0.92 8.51 .0229 1 0.92 7.17 .0230 1 0.92 7.32 .0231 1 0.92 3.43 .0232 1 0.92 3.48 .0233 1 0.92 3.65 .0234 1 0.92 3.62 .0235 1 0.92 3.29 .0236 1 0.92 2.99 .0237 1 0.92 2.99 .0238 1 0.92 3.27 .0239 1 0.92 3.96 .0240 1 0.92 5.28 .0241 1 0.92 3.69 .0242 1 0.92 3.81 .0243 1 0.92 3.33 .0244 1 0.92 2.30 .0245 1 0.92 2.11 .0246 1 0.92 1.79 .0247 1 0.92 1.69 .0248 1 0.92 1.82 .0249 1 0.92 1.46 .0250 1 0.92 1.47 .0251 1 0.92 1.51 .0252 1 0.92 1.61 .0253 1 0.92 1.86 .0254 1 0.92 1.77 .0255 1 0.92 1.81 .0256 1 0.92 1.98 .0257 1 0.92 1.94 .0258 1 0.92 1.99 .0259 1 0.92 1.93 .0260 1 0.92 2.10 .0261 1 0.92 2.16 .0262 1 0.92 2.16 .0263 1 0.92 2.13 .0264 1 0.92 2.08 .0265 1 0.92 2.26 .0266 2 0.92 2.59 .0267 1 0.92 2.59 .0268 1 0.92 2.69 .0269 1 0.92 2.80 .0270 1 0.92 3.66 .0271 1 0.92 4.63 .0272 1 0.92 5.36 .0273 1 0.92 5.61 .0274 1 0.92 6.47 .0275 1 0.92 7.86 .0276 1 0.92 6.64 .0277 1 0.92 7.35 .0278 1 0.92 5.45 .0279 1 0.92 4.29 .0280 1 0.92 3.98 .0281 1 0.92 3.79 .0282 1 0.92 3.19 .0283 1 0.92 3.25 .0284 1 0.92 3.76 .0285 1 0.92 4.22 .0286 1 0.92 4.46 .0287 1 0.92 4.70 .0288 1 0.92 4.89 .0289 1 0.92 4.96 .0290 1 0.92 5.63 .0291 1 0.92 5.19 .0292 1 0.92 5.80 .0293 2 0.92 5.59 .0294 1 0.92 6.37 .0295 1 0.92 6.32 .0296 1 0.92 6.80 .0297 1 0.92 7.31 .0298 1 0.92 7.79 .0299 1 0.92 8.91 .0300 1 0.92 9.09 .0301 1 0.92 9.01 .0302 1 0.92 8.73 .0303 1 0.92 7.57 .0304 1 0.92 7.76 .0305 1 0.92 7.05 .0306 1 0.92 7.69 .0307 1 0.92 10.52 .0308 1 0.92 6.57 .0309 1 0.92 6.28 .0310 1 0.92 4.78 .0311 1 0.92 3.03 .0312 1 0.92 2.33 .0313 1 0.92 2.23 .0314 1 0.92 3.04 .0315 1 0.92 4.69 .0316 1 0.92 6.38 .0317 1 0.92 7.29 .0318 1 0.92 8.14 .0319 1 0.92 9.54 .0320 1 0.92 8.68 .0321 1 0.92 8.49 .0322 1 0.92 8.28 .0323 1 0.92 7.19 .0324 1 0.92 6.98 .0325 1 0.92 7.08 .0326 1 0.92 6.14 .0327 1 0.92 6.07 .0328 1 0.92 6.05 .0329 1 0.92 6.65 .0330 1 0.92 8.13 .0331 2 0.92 7.72 .0332 1 0.92 8.85 .0333 1 0.92 7.96 .0334 1 0.92 8.35 .0335 1 0.92 7.47 .0336 2 0.92 6.92 .0337 2 0.92 7.29 .0338 2 0.92 7.47 .0339 2 0.92 7.95 .0340 1 0.92 8.72 .0341 1 0.92 8.77 .0342 1 0.92 10.27 .0343 1 0.92 11.36 .0344 1 0.92 10.67 .0345 1 0.92 10.79 .0346 1 0.92 11.09 .0347 1 0.92 12.51 .0348 1 0.92 13.83 .0349 1 0.92 13.59 .0350 1 0.92 15.37 .0351 1 0.92 21.48 .0352 1 0.92 15.13 .0353 1 0.92 14.53 .0354 1 0.92 10.68 .0355 1 0.92 7.18 .0356 1 0.92 6.76 .0357 1 0.92 6.32 .0358 1 0.92 8.16 .0359 1 0.92 14.09 .0360 1 0.92 22.07 .0361 1 0.92 25.23 .0362 1 0.92 26.74 .0363 1 0.92 31.50 .0364 1 0.92 30.16 .0365 1 0.92 30.72 .0366 1 0.92 29.19 .0367 1 0.92 24.96 .0368 1 0.92 27.47 .0369 2 0.92 24.19 .0370 2 0.92 21.88 .0371 1 0.92 24.05 .0372 1 0.92 25.21 .0373 1 0.92 29.52 .0374 1 0.92 31.99 .0375 1 0.92 32.27 .0376 1 0.92 33.35 .0377 1 0.92 33.39 .0378 1 0.92 32.63 .0379 1 0.92 30.10 .0380 2 0.92 31.45 .0381 2 0.92 33.82 .0382 2 0.92 38.76 .0383 2 0.92 36.81 .0384 1 0.92 39.23 .0385 1 0.92 35.80 .0386 1 0.92 40.25 .0387 1 0.92 39.41 .0388 1 0.92 38.83 .0389 1 0.92 38.45 .0390 1 0.92 35.67 .0391 1 0.92 33.29 .0392 1 0.92 32.35 .0393 1 0.92 32.31 .0394 1 0.92 39.59 .0395 1 0.92 39.93 .0396 1 0.92 21.93 .0397 1 0.92 17.72 .0398 1 0.92 21.65 .0399 1 0.92 5.38 .0400 1 0.92 4.25 .0401 1 0.92 3.55 .0402 2 0.92 2.95 .0403 1 0.92 2.40 .0404 2 0.92 2.00 .0405 2 0.92 1.51 .0406 2 0.92 1.33 .0407 1 0.92 1.50 .0408 1 0.92 1.23 .0409 1 0.92 1.33 .0410 1 0.92 1.36 .0411 1 0.92 1.38 .0412 1 0.92 1.35 .0413 1 0.92 1.38 .0414 1 0.92 1.35 .0415 2 0.92 1.52 .0416 2 0.92 1.29 .0417 1 0.92 1.25 .0418 1 0.92 1.42 .0419 1 0.92 1.29 .0420 1 0.92 1.27 .0421 1 0.92 1.29 .0422 1 0.92 1.13 .0423 1 0.92 1.23 .0424 1 0.92 1.19 .0425 1 0.92 1.90 .0426 1 0.92 5.12 .0427 2 0.92 7.51 .0428 1 0.92 9.37 .0429 1 0.92 10.55 .0430 1 0.92 11.70 .0431 1 0.92 11.82 .0432 1 0.92 11.61 .0433 1 0.92 10.89 .0434 1 0.92 9.02 .0435 1 0.92 8.53 .0436 1 0.92 8.12 .0437 1 0.92 6.69 .0438 1 0.92 6.96 .0439 1 0.92 7.71 .0440 1 0.92 9.35 .0441 1 0.92 9.91 .0442 1 0.92 10.27 .0443 1 0.92 10.94 .0444 1 0.92 12.38 .0445 1 0.92 12.35 .0446 1 0.92 11.68 .0447 2 0.92 12.93 .0448 2 0.92 14.10 .0449 2 0.92 14.45 .0450 2 0.92 15.11 .0451 1 0.92 16.60 .0452 1 0.92 16.35 .0453 1 0.92 18.44 .0454 1 0.92 18.10 .0455 1 0.92 17.89 .0456 1 0.92 17.15 .0457 1 0.92 15.79 .0458 1 0.92 14.69 .0459 1 0.92 14.39 .0460 1 0.92 15.54 .0461 1 0.92 21.30 .0462 1 0.92 12.16 .0463 1 0.92 12.27 .0464 1 0.92 10.56 .0465 2 0.92 4.59 .0466 2 0.92 3.71 .0467 2 0.91 3.93 .0468 1 0.91 3.92 .0469 1 0.91 3.86 .0470 1 0.91 4.58 .0471 1 0.91 4.51 .0472 1 0.91 4.64 .0473 1 0.91 4.14 .0474 1 0.91 4.11 .0475 1 0.91 4.02 .0476 2 0.91 4.15 .0477 1 0.91 4.36 .0478 1 0.91 5.45 .0479 1 0.91 4.01 .0480 1 0.91 3.45 .0481 1 0.91 3.26 .0482 1 0.91 1.71 .0483 1 0.91 1.74 .0484 1 0.91 1.96 .0485 1 0.91 2.59 .0486 1 0.91 3.58 .0487 1 0.91 4.09 .0488 1 0.91 4.66 .0489 3 0.91 5.21 .0490 1 0.91 5.71 .0491 1 0.91 4.62 .0492 1 0.91 4.53 .0493 1 0.91 3.88 .0494 1 0.91 3.75 .0495 1 0.91 3.75 .0496 1 0.91 3.06 .0497 1 0.91 3.57 .0498 1 0.91 4.40 .0499 1 0.91 4.10 .0500 1 0.91 4.13 .0501 1 0.91 4.26 .0502 1 0.91 4.71 .0503 3 0.91 4.82 .0504 1 0.91 5.04 .0505 1 0.91 4.24 .0506 1 0.91 5.07 .0507 2 0.91 4.77 .0508 2 0.91 4.97 .0509 2 0.91 5.37 .0510 1 0.91 5.71 .0511 1 0.91 6.16 .0512 1 0.91 7.34 .0513 1 0.91 6.88 .0514 1 0.91 6.66 .0515 1 0.91 5.80 .0516 1 0.91 5.15 .0517 1 0.91 4.95 .0518 1 0.91 5.36 .0519 1 0.91 6.76 .0520 1 0.91 6.06 .0521 1 0.91 5.56 .0522 1 0.91 3.03 .0523 1 0.91 2.90 .0524 1 0.91 1.37 .0525 1 0.91 1.24 .0526 1 0.91 1.26 .0527 1 0.91 1.10 .0528 1 0.91 1.13 .0529 1 0.91 1.17 .0530 1 0.91 1.12 .0531 1 0.91 1.12 .0532 1 0.91 1.19 .0533 1 0.91 1.16 .0534 1 0.91 1.35 .0535 1 0.91 2.30 .0536 1 0.91 4.89 .0537 1 0.91 6.73 .0538 1 0.91 7.43 .0539 1 0.91 8.11 .0540 1 0.91 9.28 .0541 1 0.91 8.33 .0542 1 0.91 8.18 .0543 1 0.91 6.76 .0544 1 0.91 6.69 .0545 1 0.91 6.43 .0546 1 0.91 5.39 .0547 1 0.91 5.95 .0548 1 0.91 6.65 .0549 1 0.91 7.72 .0550 1 0.91 7.96 .0551 1 0.91 7.79 .0552 1 0.91 8.50 .0553 1 0.91 8.95 .0554 1 0.91 7.87 .0555 1 0.91 7.40 .0556 1 0.91 8.70 .0557 1 0.91 9.84 .0558 1 0.91 12.44 .0559 1 0.91 11.08 .0560 1 0.91 11.88 .0561 1 0.91 15.37 .0562 1 0.91 17.15 .0563 1 0.91 16.15 .0564 1 0.91 16.14 .0565 1 0.91 14.50 .0566 1 0.91 13.34 .0567 1 0.91 12.48 .0568 1 0.91 12.58 .0569 1 0.91 15.87 .0570 1 0.91 10.84 .0571 1 0.91 10.96 .0572 1 0.91 8.26 .0573 1 0.91 5.39 .0574 1 0.91 4.89 .0575 1 0.91 5.01 .0576 1 0.91 5.41 .0577 1 0.91 5.40 .0578 1 0.91 5.16 .0579 1 0.91 4.51 .0580 1 0.91 4.96 .0581 1 0.91 5.51 .0582 1 0.91 6.09 .0583 1 0.91 6.15 .0584 1 0.91 6.52 .0585 1 0.91 7.26 .0586 1 0.91 8.24 .0587 1 0.91 7.94 .0588 1 0.91 7.39 .0589 1 0.91 6.59 .0590 1 0.91 6.07 .0591 1 0.91 5.80 .0592 1 0.91 6.25 .0593 1 0.91 7.63 .0594 1 0.91 5.95 .0595 1 0.91 5.91 .0596 1 0.91 3.13 .0597 2 0.91 2.22 .0598 1 0.91 1.37 .0599 1 0.91 1.27 .0600 1 0.91 1.20 .0601 1 0.91 1.24 .0602 1 0.91 1.24 .0603 1 0.91 1.17 .0604 1 0.91 1.03 .0605 1 0.91 1.13 .0606 1 0.91 1.07 .0607 1 0.91 1.09 .0608 1 0.91 1.12 .0609 1 0.91 1.09 .0610 1 0.91 1.10 .0611 1 0.91 1.18 .0612 1 0.91 1.12 .0613 1 0.91 1.01 .0614 1 0.91 1.07 .0615 1 0.91 1.01 .0616 1 0.91 1.10 .0617 1 0.91 1.12 .0618 1 0.91 1.11 .0619 1 0.91 1.13 .0620 1 0.91 1.04 .0621 1 0.91 1.11 .0622 1 0.91 1.04 .0623 1 0.91 1.13 .0624 1 0.91 1.06 .0625 1 0.91 1.07 .0626 1 0.91 1.16 .0627 2 0.91 1.14 .0628 2 0.91 1.32 .0629 3 0.91 1.11 .0630 3 0.91 1.07 .0631 1 0.91 1.08 .0632 1 0.91 1.07 .0633 1 0.91 1.08 .0634 1 0.91 1.05 .0635 1 0.91 0.99 .0636 1 0.91 1.13 .0637 1 0.91 1.19 .0638 2 0.91 1.03 .0639 1 0.91 1.04 .0640 1 0.91 1.06 .0641 1 0.91 1.05 .0642 1 0.91 1.07 .0643 1 0.91 1.01 .0644 1 0.91 1.06 .0645 1 0.91 1.06 .0646 1 0.91 1.08 .0647 1 0.91 1.09 .0648 1 0.91 1.12 .0649 1 0.91 1.03 .0650 1 0.91 1.17 .0651 1 0.91 1.12 .0652 1 0.91 1.13 .0653 1 0.91 1.16 .0654 1 0.91 1.10 .0655 2 0.91 1.14 .0656 1 0.91 1.19 .0657 1 0.91 1.11 .0658 2 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1 0.91 1.13 .1323 1 0.91 1.06 .1324 1 0.91 1.14 .1325 1 0.91 1.10 .1326 1 0.91 1.14 .1327 2 0.91 1.16 .1328 1 0.91 1.11 .1329 2 0.91 1.28 .1330 2 0.91 1.09 .1331 1 0.91 1.10 .1332 1 0.91 1.08 .1333 1 0.91 1.04 .1334 1 0.91 1.07 .1335 1 0.91 1.04 .1336 1 0.91 1.11 .1337 1 0.91 1.17 .1338 1 0.91 1.04 .1339 1 0.91 1.09 .1340 2 0.91 1.06 .1341 1 0.91 1.07 .1342 1 0.91 1.08 .1343 1 0.91 1.07 .1344 1 0.91 1.07 .1345 1 0.91 1.08 .1346 1 0.91 1.05 .1347 1 0.91 1.14 .1348 1 0.91 1.13 .1349 1 0.91 1.13 .1350 1 0.91 1.18 .1351 1 0.91 1.14 .1352 2 0.91 1.15 .1353 1 0.91 1.17 .1354 1 0.91 1.10 .1355 1 0.91 1.12 .1356 1 0.91 1.08 .1357 1 0.91 1.08 .1358 1 0.91 1.14 .1359 1 0.91 1.19 .1360 1 0.91 1.13 .1361 1 0.91 1.06 .1362 1 0.91 1.11 .1363 1 0.91 1.08 .1364 1 0.91 1.12 .1365 1 0.91 1.13 .1366 1 0.91 1.12 .1367 1 0.91 1.23 .1368 2 0.91 1.09 .1369 1 0.91 1.22 .1370 1 0.91 1.13 .1371 1 0.91 1.15 .1372 1 0.91 1.15 .1373 1 0.91 1.02 .1374 1 0.91 1.12 .1375 1 0.91 1.12 .1376 1 0.91 1.12 .1377 1 0.91 1.04 .1378 1 0.91 1.06 .1379 1 0.91 1.15 .1380 1 0.91 1.09 .1381 1 0.91 1.11 .1382 1 0.91 1.17 .1383 1 0.91 1.17 .1384 2 0.91 1.10 .1385 1 0.91 1.07 .1386 1 0.91 1.19 .1387 1 0.91 1.07 .1388 1 0.91 1.15 .1389 1 0.91 1.07 .1390 1 0.91 1.05 .1391 1 0.91 1.09 .1392 1 0.91 1.10 .1393 1 0.91 1.12 .1394 1 0.91 1.08 .1395 1 0.91 1.13 .1396 1 0.91 1.18 .1397 1 0.91 1.11 .1398 2 0.91 1.16 .1399 1 0.91 1.08 .1400 2 0.91 1.19 .1401 1 0.91 1.29 .1402 1 0.91 1.24 .1403 1 0.91 1.18 .1404 1 0.91 1.30 .1405 1 0.91 1.19 .1406 1 0.91 1.32 .1407 1 0.91 1.31 .1408 1 0.91 1.16 .1409 1 0.91 1.17 .1410 1 0.91 1.19 .1411 1 0.91 1.26 .1412 1 0.91 1.21 .1413 1 0.91 1.27 .1414 1 0.91 1.33 .1415 1 0.91 1.24 .1416 1 0.91 1.25 .1417 1 0.91 1.31 .1418 1 0.91 1.25 .1419 1 0.91 1.21 .1420 1 0.91 1.28 .1421 1 0.91 1.29 .1422 3 0.91 1.18 .1423 1 0.91 1.25 .1424 1 0.91 1.34 .1425 1 0.91 1.29 .1426 1 0.91 1.36 .1427 1 0.91 1.20 .1428 2 0.91 1.13 .1429 2 0.91 1.25 .1430 1 0.91 1.20 .1431 1 0.91 1.16 .1432 1 0.91 1.16 .1433 1 0.91 1.14 .1434 1 0.91 1.19 .1435 2 0.91 1.20 .1436 1 0.91 1.16 .1437 1 0.91 1.19 .1438 1 0.91 1.27 .1439 1 0.91 1.12 .1440 3 0.92 1.11 .1441 2 0.92 1.11 .1442 1 0.92 1.53 .1443 3 0.92 1.13 .1444 2 0.92 1.18 .1445 1 0.92 1.17 .1446 1 0.92 1.08 .1447 1 0.92 1.16 .1448 1 0.92 1.16 .1449 1 0.92 1.05 .1450 1 0.92 1.13 .1451 1 0.92 1.16 .1452 1 0.92 1.10 .1453 1 0.92 1.13 .1454 1 0.92 1.11 .1455 1 0.92 1.06 .1456 1 0.92 1.13 .1457 3 0.92 1.05 .1458 1 0.92 1.13 .1459 1 0.92 1.15 .1460 1 0.92 1.10 .1461 1 0.92 1.06 .1462 1 0.92 1.15 .1463 1 0.92 1.09 .1464 1 0.92 1.06 .1465 1 0.92 1.10 .1466 3 0.92 1.15 .1467 3 0.92 1.06 .1468 2 0.92 1.14 .1469 1 0.92 1.10 .1470 1 0.92 1.09 .1471 1 0.92 1.07 .1472 1 0.92 1.15 .1473 1 0.92 1.08 .1474 1 0.92 1.14 .1475 1 0.92 1.12 .1476 1 0.92 1.08 .1477 1 0.92 1.14 .1478 1 0.92 1.10 .1479 3 0.92 1.12 .1480 1 0.92 1.28 .1481 1 0.92 1.13 .1482 2 0.92 1.16 .1483 1 0.92 1.14 .1484 1 0.92 1.11 .1485 1 0.92 1.14 .1486 1 0.92 1.11 .1487 1 0.92 1.19 .1488 2 0.92 1.14 .1489 1 0.92 1.22 .1490 1 0.92 1.24 .1491 1 0.92 1.16 .1492 1 0.92 1.16 .1493 1 0.92 1.12 .1494 1 0.92 1.12 .1495 1 0.92 1.21 .1496 1 0.92 1.19 .1497 1 0.92 1.17 .1498 1 0.92 1.15 .1499 1 0.92 1.14 .1500 1 0.92 1.20 .1501 1 0.92 1.23 .1502 1 0.92 1.19 .1503 1 0.92 1.21 .1504 1 0.92 1.11 .1505 1 0.92 1.17 .1506 1 0.92 1.22 .1507 1 0.92 1.24 .1508 1 0.92 1.19 .1509 1 0.92 1.26 .1510 1 0.92 1.26 .1511 1 0.92 1.21 .1512 1 0.92 1.17 .1513 1 0.92 1.14 .1514 1 0.92 1.18 .1515 1 0.92 1.22 .1516 1 0.92 1.21 .1517 1 0.92 1.20 .1518 1 0.92 1.20 .1519 1 0.92 1.25 .1520 1 0.92 1.20 .1521 1 0.92 1.23 .1522 1 0.92 1.25 .1523 1 0.92 1.17 .1524 3 0.92 1.23 .1525 2 0.92 1.29 .1526 1 0.92 1.26 .1527 1 0.92 1.16 .1528 2 0.92 1.33 .1529 1 0.92 1.28 .1530 1 0.92 1.36 .1531 1 0.92 1.41 .1532 1 0.92 1.25 .1533 1 0.92 1.23 .1534 2 0.92 1.17 .1535 1 0.92 1.15 .1536 1 0.92 1.19 .1537 1 0.92 1.11 .1538 1 0.92 1.06 .1539 1 0.92 1.22 .1540 1 0.92 1.15 .1541 1 0.92 1.16 .1542 4 0.92 1.27 .1543 1 0.92 1.30 .1544 1 0.92 1.19 .1545 1 0.92 1.18 .1546 1 0.92 1.12 .1547 1 0.92 1.18 .1548 1 0.92 1.43 .1549 2 0.92 1.18 .1550 1 0.92 1.23 .1551 1 0.92 1.47 .1552 1 0.92 1.73 .1553 1 0.92 1.78 .1554 1 0.92 1.88 .1555 1 0.92 1.87 .1556 1 0.92 1.78 .1557 1 0.92 1.88 .1558 2 0.92 1.84 .1559 2 0.92 1.80 .1560 1 0.92 2.00 .1561 1 0.92 1.98 .1562 1 0.92 1.90 .1563 1 0.92 1.85 .1564 2 0.92 1.88 .1565 2 0.92 1.85 .1566 1 0.92 1.89 .1567 1 0.92 2.06 .1568 2 0.92 2.06 .1569 1 0.92 1.87 .1570 1 0.92 1.69 .1571 1 0.92 1.91 .1572 1 0.92 2.17 .1573 1 0.92 2.32 .1574 1 0.92 2.59 .1575 1 0.92 2.75 .1576 1 0.92 2.18 .1577 1 0.92 1.67 .1578 1 0.92 1.21 .1579 1 0.92 1.26 .1580 1 0.92 1.28 .1581 1 0.92 1.26 .1582 1 0.92 1.25 .1583 1 0.92 1.26 .1584 1 0.92 1.34 .1585 1 0.92 1.34 .1586 1 0.92 1.24 .1587 1 0.92 1.27 .1588 1 0.92 1.22 .1589 1 0.92 1.24 .1590 1 0.92 1.31 .1591 1 0.92 1.15 .1592 1 0.92 1.32 .1593 1 0.92 1.24 .1594 1 0.92 1.27 .1595 1 0.92 1.20 .1596 1 0.92 1.34 .1597 1 0.92 1.32 .1598 2 0.92 1.38 .1599 1 0.92 1.36 .1600 1 0.92 1.26 .1601 1 0.93 1.27 .1602 3 0.93 1.22 .1603 3 0.93 1.19 .1604 1 0.93 1.18 .1605 1 0.93 1.12 .1606 1 0.93 1.25 .1607 1 0.93 1.21 .1608 1 0.93 1.10 .1609 1 0.93 1.11 .1610 1 0.93 1.11 .1611 1 0.93 1.18 .1612 1 0.93 1.26 .1613 1 0.93 1.17 .1614 1 0.93 1.19 .1615 1 0.93 1.12 .1616 1 0.93 1.14 .1617 2 0.93 1.15 .1618 1 0.93 1.28 .1619 1 0.93 1.35 .1620 1 0.93 1.52 .1621 2 0.93 1.53 .1622 1 0.93 1.60 .1623 1 0.93 1.56 .1624 1 0.93 1.47 .1625 1 0.93 1.44 .1626 1 0.93 1.52 .1627 1 0.93 1.49 .1628 1 0.93 1.48 .1629 1 0.93 1.56 .1630 2 0.93 1.61 .1631 1 0.93 1.48 .1632 1 0.93 1.52 .1633 1 0.93 1.49 .1634 1 0.93 1.59 .1635 3 0.93 1.53 .1636 1 0.93 1.44 .1637 1 0.93 1.41 .1638 1 0.93 1.37 .1639 4 0.93 1.69 .1640 1 0.93 1.65 .1641 1 0.93 2.00 .1642 1 0.93 1.89 .1643 1 0.93 1.51 .1644 1 0.93 1.41 .1645 1 0.93 1.18 .1646 1 0.93 1.17 .1647 1 0.93 1.18 .1648 1 0.93 1.23 .1649 1 0.93 1.12 .1650 2 0.93 1.36 .1651 1 0.93 1.17 .1652 1 0.93 1.15 .1653 1 0.93 1.19 .1654 1 0.93 1.13 .1655 1 0.93 1.16 .1656 1 0.93 1.22 .1657 1 0.93 1.28 .1658 1 0.93 1.18 .1659 3 0.93 1.18 .1660 1 0.93 1.15 .1661 1 0.93 1.16 .1662 1 0.93 1.08 .1663 1 0.93 1.20 .1664 1 0.93 1.21 .1665 2 0.93 1.19 .1666 1 0.93 1.17 .1667 1 0.93 1.22 .1668 1 0.93 1.23 .1669 1 0.93 1.19 .1670 1 0.93 1.19 .1671 1 0.93 1.17 .1672 1 0.93 1.19 .1673 1 0.93 1.22 .1674 1 0.93 1.20 .1675 1 0.93 1.28 .1676 1 0.93 1.35 .1677 1 0.93 1.39 .1678 1 0.93 1.26 .1679 1 0.93 1.27 .1680 1 0.93 1.31 .1681 1 0.93 1.23 .1682 1 0.93 1.31 .1683 1 0.93 1.31 .1684 1 0.93 1.23 .1685 1 0.93 1.29 .1686 1 0.93 1.19 .1687 1 0.93 1.25 .1688 1 0.93 1.30 .1689 1 0.93 1.29 .1690 1 0.93 1.31 .1691 1 0.93 1.26 .1692 1 0.93 1.20 .1693 1 0.93 1.25 .1694 1 0.93 1.33 .1695 2 0.93 1.44 .1696 1 0.93 1.41 .1697 1 0.93 1.42 .1698 1 0.93 1.20 .1699 1 0.93 1.22 .1700 1 0.93 1.21 .1701 1 0.93 1.19 .1702 1 0.93 1.25 .1703 1 0.93 1.26 .1704 1 0.93 1.28 .1705 1 0.93 1.14 .1706 1 0.93 1.33 .1707 1 0.93 1.26 .1708 2 0.93 1.47 .1709 1 0.93 1.43 .1710 1 0.93 1.41 .1711 1 0.93 1.47 .1712 1 0.93 1.59 .1713 2 0.93 1.68 .1714 1 0.93 1.54 .1715 1 0.93 1.48 .1716 1 0.93 1.48 .1717 1 0.93 1.38 .1718 1 0.93 1.56 .1719 1 0.93 1.47 .1720 1 0.93 1.64 .1721 2 0.93 1.46 .1722 1 0.93 1.35 .1723 1 0.93 1.42 .1724 1 0.93 1.43 .1725 1 0.93 1.56 .1726 2 0.93 1.52 .1727 1 0.93 1.35 .1728 1 0.93 1.61 .1729 1 0.93 1.35 .1730 1 0.93 1.51 .1731 1 0.93 1.60 .1732 1 0.93 1.78 .1733 1 0.93 1.53 .1734 1 0.93 1.19 .1735 1 0.93 1.26 .1736 2 0.93 1.19 .1737 2 0.93 1.16 .1738 1 0.93 1.18 .1739 1 0.93 1.20 .1740 1 0.93 1.26 .1741 1 0.93 1.13 .1742 1 0.93 1.14 .1743 1 0.93 1.18 .1744 3 0.93 1.14 .1745 2 0.93 1.21 .1746 1 0.93 1.16 .1747 1 0.93 1.20 .1748 1 0.93 1.15 .1749 1 0.93 1.10 .1750 1 0.93 1.18 .1751 1 0.93 1.12 .1752 1 0.93 1.17 .1753 1 0.93 1.18 .1754 1 0.93 1.29 .1755 1 0.93 1.23 .1756 1 0.93 1.19 .1757 1 0.93 1.10 .1758 1 0.93 1.15 .1759 1 0.93 1.08 .1760 1 0.93 1.10 .1761 1 0.93 1.16 .1762 1 0.93 1.15 .1763 1 0.93 1.15 .1764 1 0.93 1.22 .1765 2 0.93 1.19 .1766 1 0.93 1.14 .1767 1 0.93 1.15 .1768 1 0.93 1.18 .1769 1 0.93 1.17 .1770 1 0.93 1.16 .1771 1 0.93 1.29 .1772 1 0.93 1.19 .1773 1 0.93 1.13 .1774 1 0.93 1.17 .1775 2 0.93 1.16 .1776 1 0.93 1.25 .1777 1 0.93 1.16 .1778 1 0.93 1.20 .1779 1 0.93 1.14 .1780 2 0.93 1.18 .1781 1 0.93 1.24 .1782 1 0.93 1.35 .1783 1 0.93 1.37 .1784 2 0.93 1.35 .1785 1 0.93 1.50 .1786 1 0.93 1.42 .1787 1 0.93 1.52 .1788 1 0.93 1.52 .1789 1 0.93 1.52 .1790 1 0.93 1.69 .1791 1 0.93 1.49 .1792 1 0.93 1.53 .1793 1 0.93 1.53 .1794 1 0.93 1.62 .1795 1 0.93 1.64 .1796 1 0.93 1.86 .1797 1 0.93 1.65 .1798 1 0.93 1.54 .1799 1 0.93 1.40 .1800 1 0.93 1.43 .1801 1 0.93 1.67 .1802 1 0.93 1.59 .1803 1 0.93 1.69 .1804 2 0.93 1.58 .1805 1 0.93 1.44 .1806 3 0.93 1.59 .1807 1 0.93 1.33 .1808 1 0.93 1.20 .1809 1 0.93 1.23 .1810 1 0.93 1.18 .1811 1 0.93 1.17 .1812 1 0.94 1.12 .1813 1 0.94 1.18 .1814 1 0.94 1.25 .1815 1 0.94 1.18 .1816 1 0.94 1.21 .1817 2 0.94 1.15 .1818 1 0.94 1.15 .1819 1 0.94 1.17 .1820 1 0.94 1.17 .1821 1 0.94 1.17 .1822 1 0.94 1.24 .1823 1 0.94 1.25 .1824 1 0.94 1.17 .1825 1 0.94 1.31 .1826 1 0.94 1.25 .1827 1 0.94 1.20 .1828 1 0.94 1.30 .1829 1 0.94 1.24 .1830 1 0.94 1.18 .1831 1 0.94 1.28 .1832 1 0.94 1.30 .1833 1 0.94 1.23 .1834 1 0.94 1.24 .1835 1 0.94 1.29 .1836 1 0.94 1.29 .1837 1 0.94 1.35 .1838 2 0.94 1.35 .1839 1 0.94 1.27 .1840 1 0.94 1.24 .1841 1 0.94 1.17 .1842 1 0.94 1.27 .1843 2 0.94 1.32 .1844 1 0.94 1.33 .1845 1 0.94 1.29 .1846 1 0.94 1.20 .1847 1 0.94 1.24 .1848 1 0.94 1.15 .1849 1 0.94 1.21 .1850 1 0.94 1.22 .1851 1 0.94 1.22 .1852 1 0.94 1.25 .1853 1 0.94 1.15 .1854 1 0.94 1.17 .1855 1 0.94 1.23 .1856 1 0.94 1.20 .1857 1 0.94 1.14 .1858 1 0.94 1.25 .1859 1 0.94 1.14 .1860 1 0.94 1.11 .1861 1 0.94 1.15 .1862 1 0.94 1.16 .1863 1 0.94 1.14 .1864 1 0.94 1.16 .1865 1 0.94 1.18 .1866 1 0.94 1.17 .1867 1 0.94 1.18 .1868 1 0.94 1.14 .1869 1 0.94 1.20 .1870 1 0.94 1.21 .1871 1 0.94 1.13 .1872 1 0.94 1.20 .1873 1 0.94 1.18 .1874 1 0.94 1.24 .1875 1 0.94 1.16 .1876 1 0.94 1.16 .1877 1 0.94 1.20 .1878 1 0.94 1.14 .1879 1 0.94 1.16 .1880 1 0.94 1.15 .1881 1 0.94 1.19 .1882 1 0.94 1.14 .1883 1 0.94 1.17 .1884 1 0.94 1.19 .1885 1 0.94 1.17 .1886 1 0.94 1.18 .1887 1 0.94 1.13 .1888 1 0.94 1.14 .1889 1 0.94 1.20 .1890 1 0.94 1.24 .1891 1 0.94 1.18 .1892 1 0.94 1.20 .1893 1 0.94 1.15 .1894 1 0.94 1.09 .1895 1 0.94 1.10 .1896 1 0.94 1.18 .1897 1 0.94 1.24 .1898 1 0.94 1.05 .1899 1 0.94 1.20 .1900 1 0.94 1.15 .1901 1 0.94 1.17 .1902 2 0.94 1.23 .1903 1 0.94 1.27 .1904 1 0.94 1.23 .1905 2 0.94 1.17 .1906 1 0.94 1.32 .1907 1 0.94 1.28 .1908 1 0.94 1.21 .1909 1 0.94 1.17 .1910 1 0.94 1.11 .1911 1 0.94 1.09 .1912 1 0.94 1.22 .1913 1 0.94 1.18 .1914 1 0.94 1.15 .1915 1 0.94 1.15 .1916 1 0.94 1.20 .1917 1 0.94 1.11 .1918 1 0.94 1.20 .1919 1 0.94 1.11 .1920 1 0.94 1.13 .1921 1 0.94 1.20 .1922 1 0.94 1.14 .1923 1 0.94 1.19 .1924 1 0.94 1.14 .1925 1 0.94 1.17 .1926 1 0.94 1.12 .1927 1 0.94 1.14 .1928 1 0.94 1.07 .1929 1 0.94 1.12 .1930 1 0.94 1.19 .1931 3 0.94 1.19 .1932 1 0.94 1.29 .1933 1 0.94 1.19 .1934 1 0.94 1.14 .1935 1 0.94 1.16 .1936 1 0.94 1.16 .1937 1 0.94 1.25 .1938 1 0.94 1.19 .1939 1 0.94 1.14 .1940 1 0.94 1.12 .1941 1 0.94 1.19 .1942 1 0.94 1.16 .1943 1 0.94 1.13 .1944 2 0.94 1.19 .1945 2 0.94 1.39 .1946 2 0.94 1.06 .1947 1 0.94 1.19 .1948 2 0.94 1.28 .1949 2 0.94 1.27 .1950 4 0.94 1.20 .1951 1 0.94 1.24 .1952 1 0.94 1.16 .1953 1 0.94 1.09 .1954 1 0.94 1.18 .1955 1 0.94 1.16 .1956 2 0.94 1.23 .1957 1 0.94 1.23 .1958 1 0.94 1.12 .1959 1 0.94 1.16 .1960 1 0.94 1.25 .1961 2 0.94 1.21 .1962 2 0.94 1.10 .1963 1 0.94 1.13 .1964 1 0.94 1.23 .1965 1 0.94 1.15 .1966 1 0.93 1.14 .1967 1 0.93 1.15 .1968 2 0.93 1.13 .1969 2 0.93 1.20 .1970 2 0.93 1.21 .1971 2 0.93 1.20 .1972 1 0.93 1.21 .1973 1 0.93 1.15 .1974 1 0.93 1.19 .1975 1 0.93 1.08 .1976 1 0.93 1.18 .1977 1 0.93 1.14 .1978 2 0.93 1.31 .1979 2 0.93 1.23 .1980 1 0.93 1.19 .1981 1 0.93 1.23 .1982 1 0.93 1.20 .1983 1 0.93 1.16 .1984 1 0.93 1.23 .1985 1 0.93 1.19 .1986 1 0.93 1.21 .1987 1 0.93 1.18 .1988 1 0.93 1.14 .1989 1 0.93 1.15 .1990 1 0.93 1.18 .1991 1 0.93 1.15 .1992 1 0.93 1.11 .1993 1 0.93 1.27 .1994 1 0.93 1.25 .1995 2 0.93 1.22 .1996 2 0.93 1.16 .1997 1 0.93 1.19 .1998 1 0.93 1.16 .1999 1 0.93 1.19 .2000 1 0.93 1.12 .2001 1 0.93 1.18 .2002 1 0.93 1.13 .2003 1 0.93 1.21 .2004 1 0.93 1.16 .2005 1 0.93 1.20 .2006 1 0.93 1.15 .2007 1 0.93 1.17 .2008 1 0.93 1.12 .2009 1 0.93 1.25 .2010 1 0.93 1.11 .2011 1 0.93 1.17 .2012 1 0.93 1.17 .2013 1 0.93 1.13 .2014 1 0.93 1.16 .2015 1 0.93 1.22 .2016 1 0.93 1.15 .2017 1 0.93 1.16 .2018 1 0.93 1.17 .2019 1 0.93 1.22 .2020 1 0.93 1.18 .2021 2 0.93 1.32 .2022 1 0.93 1.19 .2023 1 0.93 1.16 .2024 1 0.93 1.19 .2025 1 0.93 1.20 .2026 1 0.93 1.11 .2027 1 0.93 1.22 .2028 1 0.93 1.24 .2029 1 0.93 1.17 .2030 1 0.93 1.15 .2031 1 0.93 1.19 .2032 1 0.93 1.15 .2033 1 0.93 1.16 .2034 1 0.93 1.17 .2035 1 0.93 1.20 .2036 1 0.93 1.16 .2037 1 0.93 1.22 .2038 1 0.93 1.12 .2039 1 0.93 1.14 .2040 1 0.93 1.18 .2041 1 0.93 1.12 .2042 1 0.93 1.17 .2043 1 0.93 1.16 .2044 1 0.93 1.26 .2045 1 0.93 1.20 .2046 1 0.93 1.17 .2047 1 0.93 1.15 EXTRACT_IMAGE: r2: masked 316 pixels SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r2: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r2: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Searching about coefficients = 3.86863 0.10078 -0.00438 -0.00022 ARCFIT_ITER: r2: Searching lags from -152 to 152 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Initial wavelength fit = 3.86863 0.10078 -0.00438 -0.00026 ARCFIT_GUESS: r2: Initial correlation = 0.758705 FITARCIMAGE_GLOBAL: r2: Best correlation = 0.758705 FITARCIMAGE_GLOBAL: r2: ASET = 3.86863 0.10078 -0.00438 -0.00026 SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Tracing 35 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Iterating flux-weighted centers . 0 320 0.120 . 1 320 0.123 . 2 320 0.139 . 3 320 0.124 . 4 320 0.122 . 5 320 0.125 . 6 320 0.115 . 7 320 0.116 . 8 320 0.113 . 9 320 0.122 . 10 320 0.115 . 11 320 0.118 . 12 320 0.114 . 13 320 0.115 . 14 320 0.119 . 15 320 0.122 . 16 320 0.113 . 17 320 0.124 . 18 320 0.121 . 19 320 0.120 . 20 320 0.128 . 21 320 0.119 . 22 320 0.119 . 23 320 0.137 . 24 320 0.122 . 25 320 0.122 . 26 320 0.116 . 27 320 0.122 . 28 320 0.127 . 29 320 0.122 . 30 320 0.121 . 31 320 0.121 . 32 320 0.116 . 33 320 0.117 . 34 320 0.120 . 35 320 0.122 . 36 320 0.128 . 37 320 0.119 . 38 320 0.128 . 39 320 0.126 . 40 320 0.126 . 41 320 0.133 . 42 320 0.132 . 43 320 0.129 . 44 320 0.114 . 45 320 0.127 . 46 320 0.131 . 47 320 0.137 . 48 320 0.121 . 49 320 0.134 . 50 320 0.144 . 51 320 0.136 . 52 320 0.134 . 53 320 0.123 . 54 320 0.104 . 55 320 0.124 . 56 320 0.129 . 57 320 0.125 . 58 320 0.125 . 59 320 0.130 . 60 320 0.123 . 61 320 0.119 . 62 320 0.127 . 63 320 0.121 . 64 320 0.126 . 65 320 0.127 . 66 320 0.136 . 67 320 0.124 . 68 320 0.128 . 69 320 0.131 . 70 320 0.128 . 71 320 0.127 . 72 320 0.139 . 73 320 0.129 . 74 320 0.135 . 75 320 0.126 . 76 320 0.133 . 77 320 0.131 . 78 320 0.130 . 79 320 0.135 . 80 320 0.139 . 81 320 0.134 . 82 320 0.128 . 83 320 0.125 . 84 320 0.125 . 85 320 0.135 . 86 320 0.139 . 87 320 0.136 . 88 320 0.135 . 89 320 0.133 . 90 320 0.130 . 91 320 0.133 . 92 320 0.127 . 93 320 0.137 . 94 320 0.127 . 95 320 0.128 . 96 320 0.134 . 97 320 0.136 . 98 320 0.129 . 99 320 0.130 . 100 320 0.133 . 101 320 0.131 . 102 320 0.130 . 103 320 0.128 . 104 320 0.128 . 105 320 0.137 . 106 320 0.132 . 107 320 0.131 . 108 320 0.133 . 109 320 0.131 . 110 320 0.123 . 111 320 0.129 . 112 320 0.129 . 113 320 0.133 . 114 320 0.122 . 115 320 0.125 . 116 320 0.128 . 117 320 0.135 . 118 320 0.126 . 119 320 0.135 . 120 320 0.132 . 121 320 0.128 . 122 320 0.133 . 123 320 0.135 . 124 320 0.128 . 125 320 0.140 . 126 320 0.129 . 127 320 0.133 . 128 320 0.129 . 129 320 0.132 . 130 320 0.130 . 131 320 0.130 . 132 320 0.135 . 133 320 0.142 . 134 320 0.143 . 135 320 0.143 . 136 320 0.129 . 137 320 0.127 . 138 320 0.131 . 139 320 0.127 . 140 320 0.127 . 141 320 0.130 . 142 320 0.131 . 143 320 0.132 . 144 320 0.145 . 145 320 0.139 . 146 320 0.137 . 147 320 0.139 . 148 320 0.137 . 149 320 0.141 . 150 320 0.127 . 151 320 0.129 . 152 320 0.132 . 153 320 0.135 . 154 320 0.137 . 155 320 0.138 . 156 320 0.141 . 157 320 0.143 . 158 320 0.140 . 159 320 0.140 . 160 320 0.133 . 161 320 0.133 . 162 320 0.133 . 163 320 0.136 . 164 320 0.134 . 165 320 0.129 . 166 320 0.119 . 167 320 0.131 . 168 320 0.125 . 169 320 0.116 . 170 320 0.138 . 171 320 0.136 . 172 320 0.135 . 173 320 0.141 . 174 320 0.141 . 175 320 0.152 . 176 320 0.137 . 177 320 0.136 . 178 320 0.140 . 179 320 0.132 . 180 320 0.140 . 181 320 0.138 . 182 320 0.139 . 183 320 0.141 . 184 320 0.130 . 185 320 0.135 . 186 320 0.131 . 187 320 0.132 . 188 320 0.134 . 189 320 0.138 . 190 320 0.129 . 191 320 0.132 . 192 320 0.133 . 193 320 0.131 . 194 320 0.135 . 195 320 0.136 . 196 320 0.137 . 197 320 0.135 . 198 320 0.143 . 199 320 0.136 . 200 320 0.133 . 201 320 0.125 . 202 320 0.139 . 203 320 0.134 . 204 320 0.135 . 205 320 0.133 . 206 320 0.137 . 207 320 0.141 . 208 320 0.135 . 209 320 0.133 . 210 320 0.142 . 211 320 0.139 . 212 320 0.137 . 213 320 0.143 . 214 320 0.138 . 215 320 0.136 . 216 320 0.135 . 217 320 0.134 . 218 320 0.130 . 219 320 0.138 . 220 320 0.132 . 221 320 0.130 . 222 320 0.134 . 223 320 0.136 . 224 320 0.106 . 225 320 0.134 . 226 320 0.144 . 227 320 0.132 . 228 320 0.121 . 229 320 0.133 . 230 320 0.147 . 231 320 0.135 . 232 320 0.138 . 233 320 0.141 . 234 320 0.143 . 235 320 0.147 . 236 320 0.142 . 237 320 0.131 . 238 320 0.132 . 239 320 0.145 . 240 320 0.139 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -16.405732 3.3538957 0.94910900 1.1113035 7.5483967 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -14.106555 2.2489550 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -7.6727538 2.4039271 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -17.601313 3.1715157 1.1670995 -0.0000000 6.5340334 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -30.158465 2.5639684 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -24.402117 2.6384600 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 6 -28.855224 3.1569891 0.65875388 -0.0000000 9.9169415 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -14.133782 3.4543852 0.45012365 0.47463958 8.7112794 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -15.134252 2.9207859 1.2139949 -0.0000000 8.5555967 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -19.828374 2.7094962 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -37.061037 2.6339962 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -34.267396 3.3950482 0.52810995 -0.0000000 10.513590 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -73.539696 3.6181939 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 241 13 35.144334 0.25858400 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -28.618985 3.1217031 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 15 -21.738139 3.7289240 0.72217167 -0.0000000 7.6514299 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 16 -19.914870 3.7814114 0.61662733 -0.0000000 7.7809091 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 241 17 -25.308519 0.29583673 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 18 -34.481011 2.8254874 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 19 -14.941899 2.9631418 0.58865406 -0.0000000 8.6198686 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 20 -18.500093 3.7990719 0.82401457 -0.0000000 7.7953489 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 21 -12.648177 2.8398338 0.67688981 -0.0000000 9.1865290 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 22 -7.9708957 2.8344660 1.5845905 -0.0000000 9.1178705 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 23 -9.2411646 3.3366616 0.59750429 -0.0000000 6.8665643 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 241 24 -9.3818346 0.27480678 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 25 -4.3330664 3.3375006 1.1162066 -0.0000000 7.0402351 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 26 -9.3273502 2.5026232 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 27 -10.911888 2.9029162 0.31223577 -0.0000000 9.4267607 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 28 -23.321190 3.1249110 0.70160460 -0.0000000 9.4124833 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 29 -21.079106 2.6869732 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 30 -17.349371 3.7537093 0.39143224 0.43620034 9.2892033 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 31 -22.655830 3.6745476 0.84944425 0.90433632 8.6625125 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 32 -25.574657 3.8043114 0.36599540 -0.0000000 8.1747996 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 33 -19.055902 2.7096221 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 34 -17.155555 3.4222433 0.33961166 0.37179842 10.717001 1 . 241 320 0.243 . 242 320 0.141 . 243 320 0.141 . 244 320 0.130 . 245 320 0.133 . 246 320 0.132 . 247 320 0.132 . 248 320 0.128 . 249 320 0.141 . 250 320 0.131 . 251 320 0.133 . 252 320 0.135 . 253 320 0.140 . 254 320 0.129 . 255 320 0.126 . 256 320 0.138 . 257 320 0.134 . 258 320 0.135 . 259 320 0.135 . 260 320 0.134 . 261 320 0.132 . 262 320 0.131 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 0 -14.900270 3.0095645 0.69299841 -0.0000000 6.4125531 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -12.892371 3.1896310 0.44539770 -0.0000000 6.8074315 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 2 -13.440648 0.22190200 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -14.172064 2.3459785 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -34.909012 3.4391079 0.38256918 -0.0000000 7.0742583 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 5 -23.038533 4.2253344 0.34396169 0.41391806 8.5810861 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 6 -31.608556 4.6218036 0.42588933 0.50792567 8.2070190 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -14.716277 2.9391118 1.0357718 -0.0000000 8.2878423 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -19.970658 3.3810068 0.61458760 -0.0000000 7.1203500 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 9 -21.143019 0.23464205 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -33.813797 3.6870996 1.1172267 -0.0000000 7.3656649 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 11 -42.677530 0.24178658 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -55.366945 3.9647111 0.37697121 -0.0000000 12.486031 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 13 -7.9640638 0.20099364 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 15 -20.040183 4.0547458 0.39096281 0.45640178 8.8033609 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 16 -17.961320 3.8178359 1.1990214 1.3317720 8.4552561 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 17 -15.302070 2.6814355 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 18 -20.990766 2.8064237 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 19 -15.301629 2.8558085 0.43557538 -0.0000000 9.0473701 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 20 -16.920576 3.0827980 1.3010164 -0.0000000 10.083097 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 21 -14.886371 2.7737319 0.62187125 -0.0000000 8.9455036 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 22 -9.7100009 3.2687984 1.2404081 -0.0000000 6.8299020 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 23 -8.4754723 2.4791780 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 24 -7.8600458 2.6716773 2.2309499 -0.0000000 7.6223885 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 25 -5.8669041 2.8325138 0.43806399 -0.0000000 9.1949778 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 26 -17.238074 3.4672727 0.90126689 -0.0000000 7.3289899 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 27 -15.123018 2.9024924 0.37431442 -0.0000000 8.8012565 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 28 -27.916835 3.0977782 1.8876527 -0.0000000 9.9398698 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 29 -19.145900 2.7281872 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 30 -16.175655 3.0555849 0.36702816 -0.0000000 10.019700 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 31 -22.738540 2.7666876 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 32 -18.992535 2.8182838 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 33 -22.372867 3.0215470 32.230721 -0.0000000 249661.29 5 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 34 -24.197853 0.26423000 . 263 320 1.331 . 264 320 0.136 . 265 320 0.136 . 266 320 0.137 . 267 320 0.129 . 268 320 0.131 . 269 320 0.140 . 270 320 0.134 . 271 320 0.138 . 272 320 0.136 . 273 320 0.140 . 274 320 0.126 . 275 320 0.133 . 276 320 0.105 . 277 320 0.136 . 278 320 0.133 . 279 320 0.141 . 280 320 0.132 . 281 320 0.130 . 282 320 0.136 . 283 320 0.142 . 284 320 0.130 . 285 320 0.128 . 286 320 0.121 . 287 320 0.128 . 288 320 0.134 . 289 320 0.133 . 290 320 0.128 . 291 320 0.122 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -10.264303 3.2981662 1.0040423 1.1822712 7.2139294 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -11.575966 2.8633245 0.35102433 0.31475151 9.0412960 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -10.095409 2.7550729 0.57380680 -0.0000000 8.4166962 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -14.749518 2.3818054 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -26.387705 3.5504684 0.41405231 0.46983251 8.0068693 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 5 -40.287860 0.27759876 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 6 -36.800858 0.25331173 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -35.408756 2.5242017 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 8 -16.398383 2.8143586 0.91420605 -0.0000000 8.6384535 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -18.451288 2.6814856 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -21.346700 2.6447154 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 11 -37.305637 0.22377702 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 12 -55.942090 0.27049473 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 13 -68.498156 0.25893626 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 14 -46.850482 0.21518761 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 15 -32.501687 3.0310544 0.75575959 -0.0000000 9.0155668 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 16 -30.759126 3.7323069 0.30342501 -0.0000000 7.8957863 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 17 -23.601193 0.26984273 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 19 -27.088294 3.4453911 0.56862357 -0.0000000 7.2238861 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 20 -30.094606 0.29016332 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 21 -18.176739 2.7662266 0.38231669 -0.0000000 9.0142974 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 22 -10.035101 2.5228355 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 23 -11.251294 2.8337191 0.42314880 -0.0000000 8.6369311 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 25 -10.357393 2.3914150 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 26 -15.057444 2.7622100 0.47742439 -0.0000000 8.2984261 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 27 -13.293022 3.0256345 0.48388188 -0.0000000 9.1680160 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 28 -25.344081 2.6684830 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 29 -21.794635 2.6961737 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 30 -18.957826 2.9792555 0.88110127 -0.0000000 9.1080756 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 31 -24.796887 2.6734194 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 32 -23.950979 2.7807690 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 33 -22.117755 3.0221528 9.8402263 0.0000000 160.02243 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 34 -30.013221 3.4040402 0.57062892 -0.0000000 7.4985688 1 . 292 320 0.644 . 293 320 0.128 . 294 320 0.128 . 295 320 0.132 . 296 320 0.123 . 297 320 0.126 . 298 320 0.137 . 299 320 0.132 . 300 320 0.120 . 301 320 0.126 . 302 320 0.134 . 303 320 0.127 . 304 320 0.126 . 305 320 0.132 . 306 320 0.129 . 307 320 0.127 . 308 320 0.133 . 309 320 0.137 . 310 320 0.130 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -9.1320533 2.3855718 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -14.329916 3.5708450 1.5865296 1.8906416 6.9668701 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -14.777866 2.8992641 0.37720216 0.36051044 9.1776714 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -9.6210527 3.1926348 0.85446144 -0.0000000 6.5211800 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -27.066861 3.2831568 0.43933957 -0.0000000 6.6558519 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -40.922464 2.4987799 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -35.098279 3.5049163 0.68114769 -0.0000000 7.0879657 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -58.495840 2.4735286 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -16.594844 2.3914558 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -27.964450 3.6637100 0.41212556 -0.0000000 7.5951513 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -31.784237 2.5465393 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -43.708946 3.7693028 0.49322192 -0.0000000 7.6439870 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -58.566343 4.0703968 0.35146061 -0.0000000 8.4629361 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -100.93715 3.3772359 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -41.377026 3.5204883 0.34073235 0.31310657 11.016278 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 15 -53.392344 2.9658538 2.5899647 -0.0000000 8.9340260 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 16 -23.181361 2.5835574 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 17 -41.820061 3.3971051 0.38550481 -0.0000000 7.2874107 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 311 18 -41.033431 0.29018869 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 19 -24.492797 2.4829998 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 20 -38.854831 3.6089904 0.48830965 -0.0000000 7.4147647 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 21 -19.553941 2.5223542 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 22 -19.589712 3.2720378 0.93210872 -0.0000000 6.7643584 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 23 -20.971672 2.7066622 1.2764556 -0.0000000 8.0500409 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 24 -14.394686 2.4314297 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 25 -15.102724 3.4817271 0.70735570 0.79042662 7.4085934 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 26 -15.341080 2.4976886 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 27 -17.306479 2.5419989 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 28 -35.968003 2.5773131 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 29 -32.056236 2.9647638 0.79725443 -0.0000000 9.2396811 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 30 -27.110825 3.3303409 0.54428910 0.61923133 9.7032402 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 31 -38.178831 2.6197794 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 32 -37.104520 2.6396507 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 33 -29.867756 2.6232214 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 34 -23.617492 2.6551941 0.0000000 0.0000000 0.0000000 3 . 311 320 0.185 . 312 320 0.124 . 313 320 0.116 . 314 320 0.136 . 315 320 0.138 . 316 320 0.129 . 317 320 0.134 . 318 320 0.117 . 319 320 0.076 FITARCIMAGE_GLOBAL: r2: Discarding trace 0, at 5852.4880 with 41 centroids too close to an edge FITARCIMAGE_GLOBAL: r2: Line 1, at 5881.8950 Ang: ERR= 0.00985046 ERR_RMS= 0.000662097 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 2, at 5944.8340 Ang: ERR= 0.00706544 ERR_RMS= 0.0121508 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 3, at 6029.9970 Ang: ERR= 0.0127729 ERR_RMS= 0.000791115 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 4, at 6074.3380 Ang: ERR= 0.00561543 ERR_RMS= 0.000313253 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 5, at 6096.1630 Ang: ERR= 0.00447245 ERR_RMS= 0.0153907 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 6, at 6143.0630 Ang: ERR= 0.00364669 ERR_RMS= 0.0140680 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 7, at 6163.5940 Ang: ERR= 0.00671261 ERR_RMS= 0.000356974 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 8, at 6217.2810 Ang: ERR= 0.00797729 ERR_RMS= 0.000425643 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 9, at 6266.4950 Ang: ERR= 0.00434917 ERR_RMS= 0.0129770 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 10, at 6304.7890 Ang: ERR= 0.00736789 ERR_RMS= 0.000393860 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 11, at 6334.4280 Ang: ERR= 0.00379379 ERR_RMS= 0.0182322 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 12, at 6382.9920 Ang: ERR= 0.00358786 ERR_RMS= 0.0150393 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 13, at 6402.2460 Ang: ERR= 0.00231383 ERR_RMS= 0.0232261 pix, 2 masked. FITARCIMAGE_GLOBAL: r2: Line 14, at 6506.5280 Ang: ERR= 0.00311764 ERR_RMS= 0.0152202 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 15, at 6532.8820 Ang: ERR= 0.00604534 ERR_RMS= 0.000297027 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 16, at 6598.9530 Ang: ERR= 0.00475039 ERR_RMS= 0.000225176 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 17, at 6717.0430 Ang: ERR= 0.00445764 ERR_RMS= 0.0221720 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 18, at 6929.4670 Ang: ERR= 0.00378800 ERR_RMS= 0.0192963 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 19, at 7173.9380 Ang: ERR= 0.00840918 ERR_RMS= 0.000455432 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 20, at 7245.1670 Ang: ERR= 0.00408810 ERR_RMS= 0.0161195 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 21, at 7438.9000 Ang: ERR= 0.00786527 ERR_RMS= 0.000374939 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 22, at 7488.8710 Ang: ERR= 0.0147074 ERR_RMS= 0.000953528 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 23, at 7535.7740 Ang: ERR= 0.0172523 ERR_RMS= 0.00106325 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 24, at 7635.1060 Ang: ERR= 0.0318877 ERR_RMS= 0.0164370 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 25, at 8014.7860 Ang: ERR= 0.0811029 ERR_RMS= 0.0104732 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 26, at 8103.6930 Ang: ERR= 0.0595344 ERR_RMS= 0.00604177 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 27, at 8300.3260 Ang: ERR= 0.0244156 ERR_RMS= 0.00174023 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 28, at 8377.6065 Ang: ERR= 0.00946738 ERR_RMS= 0.000526884 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 29, at 8495.3598 Ang: ERR= 0.0135120 ERR_RMS= 0.000978439 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 30, at 8591.2583 Ang: ERR= 0.0258167 ERR_RMS= 0.00222516 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 31, at 8634.6470 Ang: ERR= 0.0281361 ERR_RMS= 0.00213985 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 32, at 8654.3831 Ang: ERR= 0.0176535 ERR_RMS= 0.00127198 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 33, at 8853.8670 Ang: ERR= 0.0397463 ERR_RMS= 0.00380275 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 34, at 9122.9674 Ang: ERR= 0.0954122 ERR_RMS= 0.0192903 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Number of good arc lines: 34 FITARCIMAGE_GLOBAL: r2: Number of arclines = 34 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 1 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 1 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 1 50 34 0 51 34 0 52 34 0 53 34 0 54 34 5 55 34 3 56 34 1 57 34 0 58 34 0 59 34 0 60 34 0 61 34 1 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 1 69 34 1 70 34 0 71 34 1 72 34 2 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 1 79 34 0 80 34 1 81 34 0 82 34 0 83 34 1 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 1 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 1 124 34 1 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 1 132 34 0 133 34 0 134 34 0 135 34 0 136 34 1 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 1 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 1 167 34 0 168 34 0 169 34 2 170 34 0 171 34 0 172 34 0 173 34 1 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 5 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 2 223 34 1 224 34 8 225 34 0 226 34 0 227 34 0 228 34 4 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 31 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 1 248 34 0 249 34 0 250 34 0 251 34 0 252 34 1 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 28 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 8 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 27 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 33 312 34 1 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 3 319 34 15 XY2TRACESET: r2: Total rejected = 199 Pass 1 complete FITARCIMAGE_GLOBAL: r2: Number of arclines after bundle test = 34 FITARCLINES: r2: ncoeffs (x,y): 4 5 FITARCLINES: r2: errored out 1 fibers: 311 FITARCLINES: r2: fit rchi2: 0.062793474 FITARCLINES: r2: offset stddev: 320 2.7782189e-13 FITARCLINES: r2: scale stddev: 320 6.9772594e-13 FITARCLINES: r2: poly x,y,stddev: 0 0 5.9184128e-07 FITARCLINES: r2: poly x,y,stddev: 1 0 1.7721438e-06 FITARCLINES: r2: poly x,y,stddev: 2 0 1.4164362e-06 FITARCLINES: r2: poly x,y,stddev: 3 0 2.8416801e-06 FITARCLINES: r2: poly x,y,stddev: 0 1 4.1744829e-07 FITARCLINES: r2: poly x,y,stddev: 1 1 1.2548032e-06 FITARCLINES: r2: poly x,y,stddev: 2 1 1.0055193e-06 FITARCLINES: r2: poly x,y,stddev: 3 1 2.0151565e-06 FITARCLINES: r2: poly x,y,stddev: 0 2 2.7466068e-07 FITARCLINES: r2: poly x,y,stddev: 1 2 8.1375318e-07 FITARCLINES: r2: poly x,y,stddev: 2 2 6.4137519e-07 FITARCLINES: r2: poly x,y,stddev: 3 2 1.2895089e-06 FITARCLINES: r2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: r2: IVAR=0 centroids masked: 173 Final arcfit complete FITARCIMAGE_GLOBAL: r2: Time 62. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 3 1.00 7.55 .0001 2 1.00 7.71 .0002 1 1.00 9.30 .0003 2 1.00 8.62 .0004 3 1.00 7.98 .0005 4 1.00 8.20 .0006 2 1.00 7.96 .0007 2 1.00 8.39 .0008 2 1.00 7.98 .0009 3 1.00 9.10 .0010 1 1.00 9.79 .0011 3 1.00 6.78 .0012 2 1.00 7.76 .0013 2 1.00 9.12 .0014 2 1.00 8.29 .0015 4 1.00 7.25 .0016 3 1.00 8.26 .0017 3 1.00 8.86 .0018 2 1.00 8.35 .0019 3 1.00 6.06 .0020 3 1.00 8.27 .0021 3 1.00 7.53 .0022 3 1.00 8.45 .0023 2 1.00 9.02 .0024 2 1.00 7.65 .0025 3 1.00 8.47 .0026 4 1.00 7.91 .0027 4 1.00 8.23 .0028 3 1.00 7.70 .0029 2 1.00 8.45 .0030 2 1.00 8.72 .0031 3 1.00 8.02 .0032 3 1.00 7.86 .0033 3 1.00 8.77 .0034 3 1.00 7.38 .0035 2 1.00 8.47 .0036 2 1.00 9.32 .0037 2 1.00 9.07 .0038 3 1.00 6.96 .0039 4 1.00 7.81 .0040 2 1.00 9.64 .0041 2 1.00 8.52 .0042 1 1.00 8.73 .0043 1 1.00 10.76 .0044 4 1.00 8.31 .0045 3 1.00 7.11 .0046 2 1.00 7.20 .0047 1 1.00 10.70 .0048 2 1.00 7.44 .0049 2 1.00 11.24 .0050 1 1.00 10.99 .0051 1 1.00 10.48 .0052 2 1.00 11.03 .0053 3 1.00 8.88 .0054 4 1.00 6.30 .0055 2 1.00 8.35 .0056 2 1.00 10.12 .0057 2 1.00 9.95 .0058 2 1.00 8.03 .0059 2 1.00 8.24 .0060 3 1.00 7.40 .0061 3 1.00 7.29 .0062 2 1.00 9.27 .0063 2 1.00 8.65 .0064 3 1.00 7.83 .0065 3 1.00 7.15 .0066 2 1.00 10.21 .0067 2 1.00 8.50 .0068 3 1.00 6.18 .0069 2 1.00 7.25 .0070 2 1.00 8.73 .0071 3 1.00 8.43 .0072 3 1.00 7.88 .0073 2 1.00 8.62 .0074 2 1.00 8.43 .0075 2 1.00 8.69 .0076 1 1.00 10.60 .0077 1 1.00 10.38 .0078 3 1.00 8.04 .0079 4 1.00 7.74 .0080 2 1.00 8.09 .0081 2 1.00 8.93 .0082 2 1.00 7.13 .0083 2 1.00 8.07 .0084 3 1.00 6.12 .0085 2 1.00 9.42 .0086 3 1.00 7.40 .0087 2 1.00 9.66 .0088 3 1.00 6.72 .0089 3 1.00 6.11 .0090 3 1.00 8.09 .0091 2 1.00 7.59 .0092 3 1.00 8.34 .0093 3 1.00 7.13 .0094 3 1.00 7.98 .0095 3 1.00 6.88 .0096 2 1.00 7.58 .0097 2 1.00 8.98 .0098 3 1.00 7.23 .0099 3 1.00 7.26 .0100 3 1.00 6.79 .0101 2 1.00 8.53 .0102 3 1.00 7.53 .0103 3 1.00 7.05 .0104 2 1.00 8.34 .0105 2 1.00 8.57 .0106 2 1.00 7.98 .0107 4 1.00 6.86 .0108 3 1.00 7.34 .0109 3 1.00 7.78 .0110 3 1.00 7.74 .0111 3 1.00 8.06 .0112 2 1.00 8.26 .0113 2 1.00 7.60 .0114 2 1.00 7.20 .0115 2 1.00 7.53 .0116 2 1.00 7.97 .0117 3 1.00 7.28 .0118 3 1.00 6.45 .0119 2 1.00 8.92 .0120 3 1.00 7.66 .0121 3 1.00 7.71 .0122 3 1.00 7.31 .0123 3 1.00 7.69 .0124 3 1.00 5.61 .0125 3 1.00 5.91 .0126 2 1.00 6.71 .0127 2 1.00 7.84 .0128 2 1.00 7.45 .0129 4 1.00 7.49 .0130 4 1.00 7.85 .0131 3 1.00 7.16 .0132 3 1.00 7.26 .0133 3 1.00 6.55 .0134 3 1.00 6.96 .0135 2 1.00 8.72 .0136 2 1.00 6.94 .0137 2 1.00 8.83 .0138 2 1.00 10.22 .0139 2 1.00 8.65 .0140 3 1.00 6.10 .0141 3 1.00 7.28 .0142 3 1.00 7.12 .0143 3 1.00 7.54 .0144 2 1.00 9.22 .0145 2 1.00 10.08 .0146 2 1.00 8.12 .0147 3 1.00 8.16 .0148 2 1.00 10.05 .0149 2 1.00 10.13 .0150 2 1.00 9.52 .0151 2 1.00 10.95 .0152 3 1.00 8.63 .0153 3 1.00 8.14 .0154 3 1.00 7.89 .0155 3 1.00 7.72 .0156 3 1.00 9.67 .0157 3 1.00 9.63 .0158 3 1.00 9.15 .0159 2 1.00 9.79 .0160 2 1.00 9.44 .0161 3 1.00 8.87 .0162 2 1.00 8.90 .0163 2 1.00 10.83 .0164 2 1.00 10.85 .0165 2 1.00 9.74 .0166 4 1.00 8.48 .0167 5 1.00 8.27 .0168 2 1.00 7.02 .0169 2 1.00 7.57 .0170 4 1.00 7.35 .0171 3 1.00 7.38 .0172 4 1.00 7.17 .0173 3 1.00 9.80 .0174 2 1.00 10.90 .0175 1 1.00 11.33 .0176 1 1.00 10.83 .0177 1 1.00 11.96 .0178 2 1.00 8.82 .0179 2 1.00 10.11 .0180 2 1.00 10.03 .0181 1 1.00 12.41 .0182 2 1.00 9.75 .0183 1 1.00 10.32 .0184 1 1.00 11.16 .0185 1 1.00 11.41 .0186 2 1.00 9.41 .0187 2 1.00 7.47 .0188 2 1.00 9.26 .0189 1 1.00 11.71 .0190 2 1.00 9.93 .0191 1 1.00 11.64 .0192 2 1.00 10.64 .0193 2 1.00 10.26 .0194 1 1.00 10.64 .0195 1 1.00 10.81 .0196 1 1.00 11.16 .0197 1 1.00 11.83 .0198 1 1.00 10.55 .0199 2 1.00 10.33 .0200 3 1.00 8.95 .0201 3 1.00 7.95 .0202 1 1.00 10.84 .0203 2 1.00 7.56 .0204 1 1.00 8.87 .0205 3 1.00 7.75 .0206 2 1.00 8.45 .0207 2 1.00 9.04 .0208 2 1.00 8.63 .0209 2 1.00 10.50 .0210 2 1.00 10.00 .0211 1 1.00 11.22 .0212 2 1.00 9.60 .0213 2 1.00 9.59 .0214 2 1.00 9.74 .0215 2 1.00 10.09 .0216 2 1.00 10.68 .0217 2 1.00 10.29 .0218 2 1.00 10.07 .0219 3 1.00 8.89 .0220 2 1.00 7.18 .0221 2 1.00 7.46 .0222 2 1.00 7.81 .0223 2 1.00 7.70 .0224 1 1.00 8.74 .0225 2 1.00 8.35 .0226 2 1.00 7.83 .0227 2 1.00 8.90 .0228 2 1.00 7.90 .0229 2 1.00 8.53 .0230 2 1.00 9.27 .0231 2 1.00 8.64 .0232 2 1.00 8.84 .0233 2 1.00 7.45 .0234 3 1.00 9.36 .0235 2 1.00 11.16 .0236 3 1.00 8.99 .0237 3 1.00 8.25 .0238 2 1.00 7.65 .0239 1 1.00 12.34 .0240 2 1.00 8.32 .0241 1 1.00 0.97 .0242 2 1.00 8.11 .0243 2 1.00 9.01 .0244 2 1.00 7.81 .0245 2 1.00 8.57 .0246 2 1.00 7.78 .0247 3 1.00 6.92 .0248 2 1.00 9.09 .0249 2 1.00 8.26 .0250 2 1.00 9.44 .0251 2 1.00 9.12 .0252 3 1.00 7.01 .0253 3 1.00 8.32 .0254 3 1.00 7.32 .0255 3 1.00 7.77 .0256 3 1.00 7.85 .0257 4 1.00 7.98 .0258 3 1.00 9.05 .0259 3 1.00 8.11 .0260 3 1.00 6.48 .0261 2 1.00 7.29 .0262 2 1.00 8.10 .0263 1 1.00 0.82 .0264 2 1.00 7.85 .0265 2 1.00 8.69 .0266 2 1.00 8.06 .0267 2 1.00 7.01 .0268 2 1.00 6.95 .0269 2 1.00 8.54 .0270 2 1.00 8.85 .0271 2 1.00 9.55 .0272 2 1.00 8.97 .0273 2 1.00 8.48 .0274 3 1.00 6.84 .0275 2 1.00 8.68 .0276 1 1.00 7.49 .0277 2 1.00 8.55 .0278 2 1.00 7.87 .0279 4 1.00 6.35 .0280 2 1.00 9.11 .0281 1 1.00 9.33 .0282 4 1.00 7.68 .0283 3 1.00 7.08 .0284 5 1.00 5.91 .0285 2 1.00 7.33 .0286 3 1.00 7.02 .0287 1 1.00 10.03 .0288 2 1.00 6.64 .0289 2 1.00 8.47 .0290 2 1.00 7.45 .0291 2 1.00 6.66 .0292 1 1.00 0.98 .0293 2 1.00 8.60 .0294 3 1.00 7.82 .0295 4 1.00 7.08 .0296 3 1.00 5.81 .0297 3 1.00 7.38 .0298 3 1.00 8.23 .0299 3 1.00 7.67 .0300 3 1.00 6.74 .0301 3 1.00 7.11 .0302 2 1.00 7.00 .0303 2 1.00 7.22 .0304 2 1.00 7.26 .0305 2 1.00 7.30 .0306 2 1.00 7.00 .0307 2 1.00 7.33 .0308 2 1.00 7.37 .0309 2 1.00 7.77 .0310 2 1.00 8.16 .0311 1 1.00 1.38 .0312 3 1.00 6.31 .0313 3 1.00 6.51 .0314 1 1.00 10.43 .0315 1 1.00 8.85 .0316 3 1.00 6.97 .0317 3 1.00 7.30 .0318 2 1.00 7.62 .0319 5 1.00 2.25 EXTRACT_IMAGE: r2: masked 520 pixels TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: r2: Total rejected = 0 FITDISPERSION: r2: Median wavelength widths = 0.87 0.85 0.82 0.78 pix (LL LR UL UR) SPCALIB: r2: Extracting arc # 2 of 2 SPCALIB: r2: Reading arc sdR-r2-00034677.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.46449 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 467.637 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 446. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.66465 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1320.33 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1300. DN is 1 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Fraction of bad pixels in arc = 7.72476e-05 SPCALIB: r2: Arc sdR-r2-00034677.fit paired with flat sdR-r2-00034676.fit MATCH_TRACE: r2: Iteration: 0 Pixels Rejected: 11419 Finished? 0 MATCH_TRACE: r2: Iteration: 1 Pixels Rejected: 390 Finished? 0 MATCH_TRACE: r2: Iteration: 2 Pixels Rejected: 56 Finished? 0 MATCH_TRACE: r2: Iteration: 3 Pixels Rejected: 9 Finished? 0 MATCH_TRACE: r2: Iteration: 4 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: r2: Iteration: 5 Pixels Rejected: 0 Finished? 1 SPCALIB: r2: Shifting traces with match_trace -0.00720215 SPCALIB: r2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 2 0.92 1.50 .0004 1 0.92 1.39 .0005 1 0.92 1.28 .0006 1 0.92 1.34 .0007 1 0.92 1.42 .0008 1 0.92 1.61 .0009 1 0.92 1.60 .0010 1 0.92 1.63 .0011 1 0.92 1.68 .0012 1 0.92 1.85 .0013 1 0.92 2.12 .0014 1 0.92 2.51 .0015 1 0.92 2.63 .0016 1 0.92 2.57 .0017 1 0.92 2.75 .0018 1 0.92 2.45 .0019 1 0.92 2.52 .0020 1 0.92 2.47 .0021 1 0.92 2.33 .0022 1 0.92 2.25 .0023 1 0.92 2.40 .0024 1 0.92 2.41 .0025 1 0.92 2.58 .0026 1 0.92 2.66 .0027 1 0.92 2.54 .0028 1 0.92 2.29 .0029 1 0.92 2.39 .0030 1 0.92 2.23 .0031 1 0.92 2.43 .0032 1 0.92 3.13 .0033 1 0.92 3.11 .0034 1 0.92 3.02 .0035 1 0.92 2.20 .0036 2 0.92 2.03 .0037 1 0.92 1.76 .0038 1 0.92 1.63 .0039 1 0.92 1.57 .0040 1 0.92 1.61 .0041 1 0.92 1.50 .0042 1 0.92 1.66 .0043 1 0.92 1.60 .0044 1 0.92 1.84 .0045 1 0.92 1.88 .0046 1 0.92 1.94 .0047 1 0.92 1.86 .0048 2 0.92 1.82 .0049 3 0.92 1.63 .0050 2 0.92 1.70 .0051 1 0.92 1.76 .0052 1 0.92 2.36 .0053 1 0.92 2.14 .0054 1 0.92 1.49 .0055 1 0.92 1.73 .0056 1 0.92 2.24 .0057 1 0.92 2.05 .0058 1 0.92 2.23 .0059 1 0.92 2.33 .0060 1 0.92 2.78 .0061 1 0.92 2.45 .0062 1 0.92 2.57 .0063 1 0.92 2.33 .0064 1 0.92 2.02 .0065 1 0.92 1.85 .0066 1 0.92 1.85 .0067 1 0.92 1.61 .0068 1 0.92 1.56 .0069 1 0.92 1.58 .0070 1 0.92 1.54 .0071 1 0.92 1.81 .0072 1 0.92 1.84 .0073 2 0.92 2.12 .0074 3 0.92 2.02 .0075 3 0.92 2.09 .0076 3 0.92 2.41 .0077 3 0.92 2.38 .0078 2 0.92 2.41 .0079 2 0.92 2.83 .0080 2 0.92 2.37 .0081 1 0.92 2.65 .0082 1 0.92 2.45 .0083 1 0.92 2.63 .0084 1 0.92 2.79 .0085 1 0.92 2.50 .0086 1 0.92 2.66 .0087 1 0.92 2.94 .0088 1 0.92 3.03 .0089 1 0.92 3.08 .0090 1 0.92 2.82 .0091 1 0.92 2.77 .0092 1 0.92 2.62 .0093 1 0.92 2.58 .0094 1 0.92 3.32 .0095 1 0.92 4.15 .0096 1 0.92 2.56 .0097 1 0.92 2.26 .0098 2 0.92 2.28 .0099 2 0.92 1.35 .0100 2 0.92 1.28 .0101 2 0.92 1.13 .0102 1 0.92 1.24 .0103 1 0.92 1.22 .0104 1 0.92 1.17 .0105 1 0.92 1.24 .0106 1 0.92 1.12 .0107 1 0.92 1.26 .0108 4 0.92 1.32 .0109 1 0.92 1.39 .0110 1 0.92 1.27 .0111 1 0.92 1.28 .0112 1 0.92 1.22 .0113 1 0.92 1.31 .0114 1 0.92 1.45 .0115 1 0.92 1.72 .0116 1 0.92 1.69 .0117 1 0.92 1.60 .0118 1 0.92 1.59 .0119 1 0.92 1.50 .0120 1 0.92 1.49 .0121 1 0.92 1.34 .0122 1 0.92 1.19 .0123 1 0.92 1.27 .0124 1 0.92 1.19 .0125 1 0.92 1.13 .0126 1 0.92 1.14 .0127 2 0.92 1.25 .0128 1 0.92 1.27 .0129 1 0.92 1.27 .0130 1 0.92 1.29 .0131 1 0.92 1.21 .0132 1 0.92 1.33 .0133 1 0.92 1.33 .0134 1 0.92 1.35 .0135 2 0.92 1.34 .0136 2 0.92 1.30 .0137 2 0.92 1.38 .0138 2 0.92 1.47 .0139 2 0.92 1.55 .0140 1 0.92 1.42 .0141 1 0.92 1.35 .0142 1 0.92 1.53 .0143 1 0.92 2.47 .0144 1 0.92 3.21 .0145 1 0.92 3.50 .0146 1 0.92 3.72 .0147 1 0.92 4.13 .0148 1 0.92 4.17 .0149 1 0.92 3.88 .0150 1 0.92 3.92 .0151 1 0.92 3.31 .0152 1 0.92 3.30 .0153 1 0.92 2.94 .0154 1 0.92 2.74 .0155 1 0.92 2.49 .0156 1 0.92 2.14 .0157 1 0.92 3.04 .0158 1 0.92 4.57 .0159 1 0.92 5.76 .0160 1 0.92 6.17 .0161 1 0.92 6.63 .0162 1 0.92 7.68 .0163 1 0.92 7.54 .0164 1 0.92 7.92 .0165 2 0.92 7.30 .0166 2 0.92 6.40 .0167 2 0.92 5.83 .0168 1 0.92 6.74 .0169 1 0.92 5.50 .0170 2 0.92 5.58 .0171 1 0.92 5.57 .0172 1 0.92 6.17 .0173 1 0.92 7.17 .0174 1 0.92 7.68 .0175 1 0.92 7.43 .0176 1 0.92 7.76 .0177 1 0.92 7.51 .0178 1 0.92 7.59 .0179 1 0.92 7.49 .0180 2 0.92 6.89 .0181 2 0.92 8.78 .0182 2 0.92 7.56 .0183 1 0.92 7.40 .0184 1 0.92 6.46 .0185 1 0.92 6.83 .0186 1 0.92 5.72 .0187 1 0.92 6.48 .0188 2 0.92 7.53 .0189 2 0.92 10.26 .0190 1 0.92 13.69 .0191 1 0.92 11.91 .0192 1 0.92 12.18 .0193 1 0.92 13.26 .0194 1 0.92 12.38 .0195 1 0.92 14.76 .0196 1 0.92 16.20 .0197 1 0.92 9.27 .0198 1 0.92 8.82 .0199 1 0.92 8.87 .0200 1 0.92 4.82 .0201 1 0.92 4.34 .0202 1 0.92 4.51 .0203 1 0.92 5.73 .0204 1 0.92 6.92 .0205 1 0.92 7.38 .0206 1 0.92 7.78 .0207 1 0.92 8.40 .0208 1 0.92 8.58 .0209 1 0.92 9.08 .0210 1 0.92 8.92 .0211 1 0.92 9.40 .0212 2 0.92 8.82 .0213 1 0.92 9.19 .0214 1 0.92 9.05 .0215 1 0.92 8.93 .0216 1 0.92 9.63 .0217 1 0.92 10.15 .0218 1 0.92 11.42 .0219 1 0.92 12.34 .0220 1 0.92 12.84 .0221 1 0.92 13.72 .0222 1 0.92 11.92 .0223 1 0.92 11.28 .0224 1 0.92 10.33 .0225 1 0.92 10.48 .0226 1 0.92 13.66 .0227 1 0.92 15.54 .0228 1 0.92 8.73 .0229 1 0.92 7.63 .0230 1 0.92 8.38 .0231 1 0.92 3.55 .0232 1 0.92 3.51 .0233 1 0.92 3.63 .0234 1 0.92 3.51 .0235 1 0.92 3.38 .0236 1 0.92 3.23 .0237 1 0.92 3.23 .0238 1 0.92 3.14 .0239 1 0.92 3.81 .0240 1 0.92 4.94 .0241 1 0.92 3.80 .0242 1 0.92 3.83 .0243 1 0.92 3.24 .0244 1 0.92 2.47 .0245 1 0.92 2.20 .0246 1 0.92 1.86 .0247 1 0.92 1.84 .0248 1 0.92 1.80 .0249 1 0.92 1.70 .0250 1 0.92 1.45 .0251 1 0.92 1.50 .0252 1 0.92 1.61 .0253 3 0.92 1.85 .0254 3 0.92 2.16 .0255 1 0.92 1.86 .0256 1 0.92 1.85 .0257 1 0.92 1.97 .0258 1 0.92 2.03 .0259 1 0.92 1.91 .0260 1 0.92 2.04 .0261 1 0.92 2.05 .0262 1 0.92 2.11 .0263 1 0.92 2.17 .0264 1 0.92 2.20 .0265 1 0.92 2.12 .0266 1 0.92 2.23 .0267 1 0.92 2.54 .0268 1 0.92 2.65 .0269 1 0.92 2.89 .0270 1 0.92 3.38 .0271 1 0.92 4.54 .0272 1 0.92 5.31 .0273 1 0.92 6.38 .0274 1 0.92 6.45 .0275 1 0.92 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39.97 .0385 1 0.92 36.75 .0386 1 0.92 42.35 .0387 1 0.92 42.42 .0388 1 0.92 38.51 .0389 1 0.92 40.54 .0390 1 0.92 36.18 .0391 1 0.92 34.30 .0392 1 0.92 33.28 .0393 1 0.92 32.05 .0394 1 0.92 37.80 .0395 1 0.92 43.39 .0396 1 0.92 21.90 .0397 1 0.92 20.33 .0398 1 0.92 23.57 .0399 2 0.92 6.56 .0400 2 0.92 4.31 .0401 2 0.92 3.82 .0402 2 0.92 3.30 .0403 2 0.92 2.52 .0404 2 0.92 2.24 .0405 2 0.92 1.67 .0406 2 0.92 1.48 .0407 1 0.92 1.49 .0408 1 0.92 1.45 .0409 1 0.92 1.35 .0410 1 0.92 1.52 .0411 2 0.92 1.38 .0412 1 0.92 1.38 .0413 1 0.92 1.43 .0414 1 0.92 1.29 .0415 1 0.92 1.36 .0416 1 0.92 1.35 .0417 1 0.92 1.31 .0418 1 0.92 1.43 .0419 1 0.92 1.26 .0420 1 0.92 1.28 .0421 1 0.92 1.35 .0422 1 0.92 1.26 .0423 1 0.92 1.26 .0424 1 0.92 1.19 .0425 1 0.92 1.68 .0426 1 0.92 3.44 .0427 1 0.92 6.57 .0428 1 0.92 8.86 .0429 1 0.92 9.58 .0430 1 0.92 11.22 .0431 1 0.92 12.13 .0432 1 0.92 11.54 .0433 1 0.92 11.46 .0434 1 0.92 9.21 .0435 1 0.92 8.94 .0436 1 0.92 8.48 .0437 1 0.92 7.06 .0438 1 0.92 7.09 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0.92 1.15 .1490 1 0.92 1.18 .1491 1 0.92 1.11 .1492 1 0.92 1.11 .1493 1 0.92 1.27 .1494 1 0.92 1.17 .1495 1 0.92 1.17 .1496 1 0.92 1.13 .1497 1 0.92 1.17 .1498 1 0.92 1.15 .1499 1 0.92 1.18 .1500 1 0.92 1.26 .1501 1 0.92 1.11 .1502 1 0.92 1.22 .1503 1 0.92 1.14 .1504 1 0.92 1.16 .1505 1 0.92 1.11 .1506 1 0.92 1.16 .1507 1 0.92 1.17 .1508 1 0.92 1.24 .1509 1 0.92 1.25 .1510 1 0.92 1.21 .1511 1 0.92 1.22 .1512 1 0.92 1.27 .1513 1 0.92 1.20 .1514 2 0.92 1.13 .1515 1 0.92 1.30 .1516 1 0.92 1.20 .1517 1 0.92 1.20 .1518 1 0.92 1.24 .1519 1 0.92 1.18 .1520 1 0.92 1.24 .1521 1 0.92 1.18 .1522 1 0.92 1.21 .1523 1 0.92 1.23 .1524 1 0.92 1.28 .1525 1 0.92 1.25 .1526 2 0.92 1.25 .1527 1 0.92 1.20 .1528 1 0.92 1.22 .1529 1 0.92 1.36 .1530 1 0.92 1.24 .1531 1 0.92 1.32 .1532 1 0.92 1.37 .1533 1 0.92 1.16 .1534 1 0.92 1.19 .1535 1 0.92 1.18 .1536 1 0.92 1.11 .1537 1 0.92 1.10 .1538 2 0.92 1.13 .1539 3 0.92 1.08 .1540 1 0.92 1.19 .1541 1 0.92 1.17 .1542 1 0.92 1.18 .1543 1 0.92 1.09 .1544 1 0.92 1.12 .1545 1 0.92 1.18 .1546 1 0.92 1.24 .1547 1 0.92 1.14 .1548 1 0.92 1.19 .1549 1 0.92 1.25 .1550 1 0.92 1.16 .1551 1 0.92 1.38 .1552 1 0.92 1.59 .1553 1 0.92 1.87 .1554 1 0.92 1.92 .1555 1 0.92 1.95 .1556 1 0.92 1.79 .1557 1 0.92 1.76 .1558 1 0.92 1.78 .1559 1 0.92 1.84 .1560 1 0.92 1.83 .1561 1 0.92 2.01 .1562 1 0.92 1.95 .1563 1 0.92 1.81 .1564 1 0.92 1.78 .1565 1 0.92 1.85 .1566 1 0.92 1.92 .1567 1 0.92 2.14 .1568 1 0.92 1.96 .1569 1 0.92 1.78 .1570 1 0.92 1.76 .1571 1 0.92 1.63 .1572 1 0.92 2.15 .1573 1 0.92 2.31 .1574 1 0.92 2.71 .1575 1 0.92 2.74 .1576 1 0.92 2.38 .1577 1 0.92 1.76 .1578 1 0.92 1.32 .1579 1 0.92 1.22 .1580 1 0.92 1.42 .1581 2 0.92 1.23 .1582 1 0.92 1.23 .1583 1 0.92 1.27 .1584 1 0.92 1.29 .1585 1 0.92 1.24 .1586 1 0.92 1.30 .1587 1 0.92 1.33 .1588 1 0.92 1.27 .1589 1 0.92 1.12 .1590 1 0.92 1.22 .1591 1 0.92 1.31 .1592 1 0.92 1.24 .1593 1 0.92 1.35 .1594 1 0.92 1.30 .1595 1 0.92 1.18 .1596 1 0.92 1.27 .1597 1 0.92 1.40 .1598 1 0.92 1.36 .1599 1 0.92 1.29 .1600 1 0.92 1.23 .1601 1 0.92 1.22 .1602 1 0.92 1.30 .1603 1 0.92 1.13 .1604 1 0.92 1.15 .1605 1 0.92 1.08 .1606 1 0.93 1.15 .1607 1 0.93 1.21 .1608 1 0.93 1.10 .1609 1 0.93 1.13 .1610 1 0.93 1.16 .1611 1 0.93 1.18 .1612 1 0.93 1.24 .1613 1 0.93 1.16 .1614 3 0.93 1.32 .1615 2 0.93 1.32 .1616 1 0.93 1.22 .1617 1 0.93 1.19 .1618 2 0.93 1.29 .1619 1 0.93 1.28 .1620 1 0.93 1.44 .1621 1 0.93 1.47 .1622 1 0.93 1.49 .1623 2 0.93 1.61 .1624 1 0.93 1.55 .1625 1 0.93 1.46 .1626 1 0.93 1.49 .1627 1 0.93 1.44 .1628 1 0.93 1.51 .1629 1 0.93 1.59 .1630 1 0.93 1.51 .1631 1 0.93 1.45 .1632 1 0.93 1.51 .1633 2 0.93 1.48 .1634 1 0.93 1.57 .1635 1 0.93 1.57 .1636 1 0.93 1.61 .1637 1 0.93 1.39 .1638 1 0.93 1.47 .1639 1 0.93 1.53 .1640 1 0.93 1.70 .1641 1 0.93 1.89 .1642 1 0.93 1.89 .1643 1 0.93 1.68 .1644 1 0.93 1.46 .1645 1 0.93 1.20 .1646 1 0.93 1.16 .1647 1 0.93 1.15 .1648 1 0.93 1.23 .1649 1 0.93 1.04 .1650 1 0.93 1.14 .1651 1 0.93 1.12 .1652 1 0.93 1.16 .1653 1 0.93 1.20 .1654 1 0.93 1.21 .1655 3 0.93 1.11 .1656 3 0.93 1.35 .1657 3 0.93 1.19 .1658 1 0.93 1.17 .1659 1 0.93 1.20 .1660 1 0.93 1.28 .1661 1 0.93 1.17 .1662 1 0.93 1.12 .1663 1 0.93 1.17 .1664 1 0.93 1.12 .1665 1 0.93 1.17 .1666 1 0.93 1.24 .1667 1 0.93 1.23 .1668 1 0.93 1.22 .1669 1 0.93 1.14 .1670 1 0.93 1.19 .1671 1 0.93 1.30 .1672 1 0.93 1.23 .1673 1 0.93 1.28 .1674 3 0.93 1.15 .1675 2 0.93 1.32 .1676 1 0.93 1.28 .1677 1 0.93 1.35 .1678 2 0.93 1.31 .1679 1 0.93 1.25 .1680 1 0.93 1.29 .1681 1 0.93 1.36 .1682 1 0.93 1.29 .1683 1 0.93 1.30 .1684 1 0.93 1.31 .1685 1 0.93 1.15 .1686 3 0.93 1.27 .1687 2 0.93 1.35 .1688 1 0.93 1.37 .1689 1 0.93 1.47 .1690 1 0.93 1.27 .1691 1 0.93 1.19 .1692 2 0.93 1.17 .1693 1 0.93 1.23 .1694 2 0.93 1.28 .1695 2 0.93 1.29 .1696 1 0.93 1.41 .1697 1 0.93 1.35 .1698 1 0.93 1.41 .1699 2 0.93 1.29 .1700 1 0.93 1.19 .1701 1 0.93 1.20 .1702 1 0.93 1.32 .1703 1 0.93 1.20 .1704 1 0.93 1.25 .1705 1 0.93 1.23 .1706 1 0.93 1.16 .1707 1 0.93 1.34 .1708 1 0.93 1.27 .1709 1 0.93 1.36 .1710 3 0.93 1.45 .1711 2 0.93 1.56 .1712 2 0.93 1.67 .1713 1 0.93 1.44 .1714 2 0.93 1.59 .1715 2 0.93 1.38 .1716 2 0.93 1.36 .1717 1 0.93 1.44 .1718 1 0.93 1.55 .1719 1 0.93 1.43 .1720 1 0.93 1.47 .1721 1 0.93 1.59 .1722 1 0.93 1.39 .1723 1 0.93 1.47 .1724 1 0.93 1.41 .1725 1 0.93 1.48 .1726 1 0.93 1.36 .1727 2 0.93 1.59 .1728 3 0.93 1.39 .1729 1 0.93 1.33 .1730 1 0.93 1.56 .1731 1 0.93 1.66 .1732 1 0.93 1.63 .1733 1 0.93 1.51 .1734 1 0.93 1.30 .1735 1 0.93 1.21 .1736 1 0.93 1.23 .1737 1 0.93 1.20 .1738 3 0.93 1.26 .1739 1 0.93 1.27 .1740 1 0.93 1.33 .1741 1 0.93 1.20 .1742 1 0.93 1.19 .1743 1 0.93 1.21 .1744 1 0.93 1.16 .1745 4 0.93 1.20 .1746 3 0.93 1.22 .1747 1 0.93 1.24 .1748 1 0.93 1.15 .1749 1 0.93 1.18 .1750 1 0.93 1.13 .1751 1 0.93 1.13 .1752 1 0.93 1.23 .1753 1 0.93 1.11 .1754 1 0.93 1.13 .1755 1 0.93 1.21 .1756 1 0.93 1.17 .1757 1 0.93 1.16 .1758 1 0.93 1.17 .1759 1 0.93 1.16 .1760 1 0.93 1.12 .1761 1 0.93 1.11 .1762 1 0.93 1.21 .1763 1 0.93 1.12 .1764 1 0.93 1.14 .1765 1 0.93 1.19 .1766 1 0.93 1.17 .1767 1 0.93 1.16 .1768 1 0.93 1.18 .1769 1 0.93 1.19 .1770 1 0.93 1.12 .1771 1 0.93 1.17 .1772 2 0.93 1.16 .1773 1 0.93 1.21 .1774 1 0.93 1.18 .1775 2 0.93 1.21 .1776 2 0.93 1.11 .1777 3 0.93 1.10 .1778 3 0.93 1.17 .1779 1 0.93 1.18 .1780 2 0.93 1.22 .1781 2 0.93 1.34 .1782 1 0.93 1.26 .1783 1 0.93 1.39 .1784 1 0.93 1.49 .1785 1 0.93 1.50 .1786 1 0.93 1.53 .1787 1 0.93 1.59 .1788 1 0.93 1.57 .1789 2 0.93 1.54 .1790 1 0.93 1.53 .1791 1 0.93 1.60 .1792 1 0.93 1.47 .1793 1 0.93 1.59 .1794 1 0.93 1.50 .1795 1 0.93 1.56 .1796 1 0.93 1.58 .1797 1 0.93 1.50 .1798 1 0.93 1.45 .1799 1 0.93 1.43 .1800 1 0.93 1.32 .1801 1 0.93 1.41 .1802 1 0.93 1.53 .1803 1 0.93 1.61 .1804 1 0.93 1.56 .1805 1 0.93 1.42 .1806 3 0.93 1.32 .1807 1 0.93 1.23 .1808 1 0.93 1.18 .1809 1 0.93 1.15 .1810 1 0.93 1.14 .1811 1 0.93 1.16 .1812 2 0.93 1.20 .1813 2 0.93 1.21 .1814 1 0.93 1.41 .1815 1 0.93 1.13 .1816 1 0.93 1.10 .1817 1 0.93 1.14 .1818 1 0.93 1.18 .1819 1 0.93 1.17 .1820 1 0.93 1.34 .1821 1 0.93 1.36 .1822 2 0.94 1.19 .1823 1 0.94 1.34 .1824 1 0.94 1.22 .1825 1 0.94 1.21 .1826 1 0.94 1.26 .1827 1 0.94 1.21 .1828 1 0.94 1.23 .1829 1 0.94 1.20 .1830 1 0.94 1.13 .1831 1 0.94 1.27 .1832 1 0.94 1.28 .1833 1 0.94 1.21 .1834 1 0.94 1.27 .1835 1 0.94 1.26 .1836 1 0.94 1.33 .1837 1 0.94 1.18 .1838 1 0.94 1.28 .1839 1 0.94 1.33 .1840 1 0.94 1.28 .1841 1 0.94 1.26 .1842 1 0.94 1.18 .1843 1 0.94 1.23 .1844 1 0.94 1.24 .1845 1 0.94 1.34 .1846 1 0.94 1.10 .1847 1 0.94 1.19 .1848 1 0.94 1.16 .1849 1 0.94 1.27 .1850 1 0.94 1.19 .1851 1 0.94 1.14 .1852 2 0.94 1.15 .1853 2 0.94 1.25 .1854 1 0.94 1.17 .1855 1 0.94 1.16 .1856 1 0.94 1.09 .1857 1 0.94 1.18 .1858 1 0.94 1.18 .1859 1 0.94 1.24 .1860 1 0.94 1.18 .1861 1 0.94 1.15 .1862 1 0.94 1.14 .1863 1 0.94 1.14 .1864 1 0.94 1.36 .1865 2 0.94 1.26 .1866 1 0.94 1.15 .1867 1 0.94 1.20 .1868 1 0.94 1.18 .1869 1 0.94 1.18 .1870 1 0.94 1.16 .1871 1 0.94 1.15 .1872 2 0.94 1.30 .1873 1 0.94 1.33 .1874 1 0.94 1.21 .1875 1 0.94 1.12 .1876 1 0.94 1.10 .1877 1 0.94 1.13 .1878 1 0.94 1.13 .1879 1 0.94 1.21 .1880 1 0.94 1.16 .1881 1 0.94 1.22 .1882 1 0.94 1.17 .1883 1 0.94 1.20 .1884 1 0.94 1.19 .1885 1 0.94 1.14 .1886 2 0.94 1.30 .1887 2 0.94 1.26 .1888 1 0.94 1.20 .1889 1 0.94 1.24 .1890 2 0.94 1.12 .1891 1 0.94 1.25 .1892 1 0.94 1.20 .1893 1 0.94 1.18 .1894 1 0.94 1.22 .1895 2 0.94 1.26 .1896 1 0.94 1.22 .1897 1 0.94 1.13 .1898 1 0.94 1.21 .1899 1 0.94 1.21 .1900 3 0.94 1.17 .1901 1 0.94 1.18 .1902 2 0.94 1.18 .1903 2 0.94 1.26 .1904 1 0.94 1.18 .1905 1 0.94 1.18 .1906 1 0.94 1.15 .1907 1 0.94 1.08 .1908 1 0.94 1.16 .1909 1 0.94 1.19 .1910 1 0.94 1.11 .1911 1 0.94 1.24 .1912 1 0.94 1.21 .1913 1 0.94 1.26 .1914 1 0.94 1.16 .1915 1 0.94 1.18 .1916 1 0.94 1.16 .1917 1 0.94 1.16 .1918 1 0.94 1.22 .1919 1 0.94 1.06 .1920 1 0.94 1.04 .1921 1 0.94 1.16 .1922 1 0.94 1.14 .1923 1 0.94 1.17 .1924 1 0.94 1.21 .1925 1 0.94 1.18 .1926 1 0.94 1.10 .1927 1 0.94 1.17 .1928 1 0.94 1.14 .1929 1 0.94 1.13 .1930 1 0.94 1.11 .1931 1 0.94 1.17 .1932 1 0.94 1.10 .1933 1 0.94 1.20 .1934 1 0.94 1.10 .1935 1 0.94 1.16 .1936 1 0.94 1.18 .1937 1 0.94 1.14 .1938 1 0.94 1.17 .1939 1 0.94 1.10 .1940 1 0.94 1.14 .1941 1 0.94 1.17 .1942 1 0.94 1.14 .1943 1 0.94 1.21 .1944 1 0.94 1.14 .1945 1 0.94 1.17 .1946 1 0.94 1.18 .1947 1 0.94 1.25 .1948 1 0.94 1.14 .1949 1 0.94 1.13 .1950 1 0.94 1.15 .1951 1 0.94 1.20 .1952 1 0.94 1.18 .1953 2 0.94 1.19 .1954 1 0.94 1.23 .1955 1 0.94 1.16 .1956 1 0.94 1.11 .1957 1 0.94 1.18 .1958 1 0.94 1.23 .1959 1 0.94 1.12 .1960 1 0.94 1.14 .1961 1 0.94 1.12 .1962 1 0.94 1.20 .1963 1 0.93 1.07 .1964 1 0.93 1.13 .1965 1 0.93 1.15 .1966 1 0.93 1.13 .1967 1 0.93 1.18 .1968 1 0.93 1.24 .1969 1 0.93 1.11 .1970 1 0.93 1.20 .1971 1 0.93 1.18 .1972 1 0.93 1.22 .1973 1 0.93 1.11 .1974 1 0.93 1.13 .1975 1 0.93 1.23 .1976 1 0.93 1.16 .1977 1 0.93 1.19 .1978 2 0.93 1.19 .1979 1 0.93 1.23 .1980 1 0.93 1.20 .1981 1 0.93 1.16 .1982 1 0.93 1.20 .1983 1 0.93 1.17 .1984 1 0.93 1.17 .1985 1 0.93 1.28 .1986 1 0.93 1.10 .1987 1 0.93 1.16 .1988 1 0.93 1.19 .1989 1 0.93 1.19 .1990 1 0.93 1.09 .1991 1 0.93 1.16 .1992 1 0.93 1.20 .1993 1 0.93 1.18 .1994 1 0.93 1.14 .1995 1 0.93 1.18 .1996 1 0.93 1.15 .1997 1 0.93 1.15 .1998 1 0.93 1.14 .1999 1 0.93 1.27 .2000 2 0.93 1.23 .2001 1 0.93 1.21 .2002 1 0.93 1.20 .2003 1 0.93 1.18 .2004 1 0.93 1.27 .2005 1 0.93 1.16 .2006 1 0.93 1.16 .2007 1 0.93 1.20 .2008 1 0.93 1.25 .2009 1 0.93 1.07 .2010 1 0.93 1.15 .2011 1 0.93 1.17 .2012 1 0.93 1.19 .2013 1 0.93 1.18 .2014 1 0.93 1.16 .2015 1 0.93 1.14 .2016 1 0.93 1.10 .2017 1 0.93 1.24 .2018 1 0.93 1.16 .2019 1 0.93 1.19 .2020 1 0.93 1.19 .2021 1 0.93 1.21 .2022 1 0.93 1.10 .2023 1 0.93 1.12 .2024 1 0.93 1.17 .2025 2 0.93 1.32 .2026 1 0.93 1.26 .2027 1 0.93 1.09 .2028 1 0.93 1.21 .2029 1 0.93 1.23 .2030 1 0.93 1.20 .2031 1 0.93 1.19 .2032 1 0.93 1.15 .2033 1 0.93 1.18 .2034 1 0.93 1.14 .2035 1 0.93 1.19 .2036 1 0.93 1.20 .2037 1 0.93 1.19 .2038 3 0.93 1.20 .2039 1 0.93 1.15 .2040 1 0.93 1.22 .2041 1 0.93 1.16 .2042 1 0.93 1.21 .2043 1 0.93 1.16 .2044 1 0.93 1.20 .2045 2 0.93 1.15 .2046 1 0.93 1.21 .2047 1 0.93 1.17 EXTRACT_IMAGE: r2: masked 312 pixels SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r2: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r2: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Searching about coefficients = 3.86863 0.10078 -0.00438 -0.00022 ARCFIT_ITER: r2: Searching lags from -152 to 152 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Initial wavelength fit = 3.86863 0.10078 -0.00438 -0.00026 ARCFIT_GUESS: r2: Initial correlation = 0.755839 FITARCIMAGE_GLOBAL: r2: Best correlation = 0.755839 FITARCIMAGE_GLOBAL: r2: ASET = 3.86863 0.10078 -0.00438 -0.00026 SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Tracing 35 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Iterating flux-weighted centers . 0 320 0.115 . 1 320 0.118 . 2 320 0.124 . 3 320 0.125 . 4 320 0.137 . 5 320 0.119 . 6 320 0.123 . 7 320 0.116 . 8 320 0.131 . 9 320 0.126 . 10 320 0.110 . 11 320 0.116 . 12 320 0.119 . 13 320 0.122 . 14 320 0.123 . 15 320 0.120 . 16 320 0.114 . 17 320 0.125 . 18 320 0.118 . 19 320 0.119 . 20 320 0.120 . 21 320 0.122 . 22 320 0.119 . 23 320 0.124 . 24 320 0.123 . 25 320 0.122 . 26 320 0.124 . 27 320 0.121 . 28 320 0.125 . 29 320 0.122 . 30 320 0.117 . 31 320 0.124 . 32 320 0.125 . 33 320 0.113 . 34 320 0.116 . 35 320 0.123 . 36 320 0.120 . 37 320 0.127 . 38 320 0.125 . 39 320 0.130 . 40 320 0.128 . 41 320 0.126 . 42 320 0.120 . 43 320 0.128 . 44 320 0.125 . 45 320 0.132 . 46 320 0.127 . 47 320 0.130 . 48 320 0.122 . 49 320 0.141 . 50 320 0.139 . 51 320 0.141 . 52 320 0.150 . 53 320 0.137 . 54 320 0.115 . 55 320 0.119 . 56 320 0.128 . 57 320 0.130 . 58 320 0.126 . 59 320 0.130 . 60 320 0.126 . 61 320 0.126 . 62 320 0.136 . 63 320 0.122 . 64 320 0.129 . 65 320 0.121 . 66 320 0.135 . 67 320 0.134 . 68 320 0.129 . 69 320 0.125 . 70 320 0.121 . 71 320 0.130 . 72 320 0.141 . 73 320 0.139 . 74 320 0.128 . 75 320 0.130 . 76 320 0.139 . 77 320 0.129 . 78 320 0.135 . 79 320 0.147 . 80 320 0.135 . 81 320 0.136 . 82 320 0.130 . 83 320 0.131 . 84 320 0.132 . 85 320 0.139 . 86 320 0.135 . 87 320 0.137 . 88 320 0.127 . 89 320 0.126 . 90 320 0.131 . 91 320 0.129 . 92 320 0.129 . 93 320 0.131 . 94 320 0.127 . 95 320 0.129 . 96 320 0.128 . 97 320 0.128 . 98 320 0.125 . 99 320 0.134 . 100 320 0.129 . 101 320 0.135 . 102 320 0.133 . 103 320 0.150 . 104 320 0.146 . 105 320 0.139 . 106 320 0.138 . 107 320 0.134 . 108 320 0.145 . 109 320 0.147 . 110 320 0.126 . 111 320 0.127 . 112 320 0.141 . 113 320 0.129 . 114 320 0.129 . 115 320 0.128 . 116 320 0.132 . 117 320 0.130 . 118 320 0.129 . 119 320 0.145 . 120 320 0.135 . 121 320 0.132 . 122 320 0.140 . 123 320 0.136 . 124 320 0.129 . 125 320 0.144 . 126 320 0.129 . 127 320 0.127 . 128 320 0.125 . 129 320 0.130 . 130 320 0.132 . 131 320 0.134 . 132 320 0.142 . 133 320 0.145 . 134 320 0.146 . 135 320 0.132 . 136 320 0.135 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 137 21 186.73593 9.8035582 2.4783667 0.59109741 34986.490 1 . 137 320 0.141 . 138 320 0.128 . 139 320 0.125 . 140 320 0.132 . 141 320 0.154 . 142 320 0.147 . 143 320 0.144 . 144 320 0.149 . 145 320 0.137 . 146 320 0.134 . 147 320 0.130 . 148 320 0.128 . 149 320 0.129 . 150 320 0.130 . 151 320 0.132 . 152 320 0.136 . 153 320 0.145 . 154 320 0.139 . 155 320 0.150 . 156 320 0.148 . 157 320 0.152 . 158 320 0.143 . 159 320 0.142 . 160 320 0.138 . 161 320 0.137 . 162 320 0.139 . 163 320 0.143 . 164 320 0.126 . 165 320 0.130 . 166 320 0.134 . 167 320 0.143 . 168 320 0.134 . 169 320 0.130 . 170 320 0.130 . 171 320 0.145 . 172 320 0.139 . 173 320 0.141 . 174 320 0.137 . 175 320 0.140 . 176 320 0.140 . 177 320 0.139 . 178 320 0.131 . 179 320 0.133 . 180 320 0.128 . 181 320 0.133 . 182 320 0.130 . 183 320 0.135 . 184 320 0.119 . 185 320 0.131 . 186 320 0.131 . 187 320 0.124 . 188 320 0.132 . 189 320 0.135 . 190 320 0.132 . 191 320 0.132 . 192 320 0.139 . 193 320 0.131 . 194 320 0.138 . 195 320 0.143 . 196 320 0.134 . 197 320 0.137 . 198 320 0.139 . 199 320 0.143 . 200 320 0.140 . 201 320 0.134 . 202 320 0.149 . 203 320 0.130 . 204 320 0.143 . 205 320 0.138 . 206 320 0.139 . 207 320 0.139 . 208 320 0.135 . 209 320 0.138 . 210 320 0.139 . 211 320 0.141 . 212 320 0.134 . 213 320 0.137 . 214 320 0.133 . 215 320 0.140 . 216 320 0.133 . 217 320 0.137 . 218 320 0.133 . 219 320 0.135 . 220 320 0.130 . 221 320 0.134 . 222 320 0.137 . 223 320 0.139 . 224 320 0.111 . 225 320 0.133 . 226 320 0.137 . 227 320 0.132 . 228 320 0.121 . 229 320 0.134 . 230 320 0.134 . 231 320 0.137 . 232 320 0.137 . 233 320 0.134 . 234 320 0.138 . 235 320 0.142 . 236 320 0.144 . 237 320 0.141 . 238 320 0.131 . 239 320 0.145 . 240 320 0.142 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -16.909864 3.1250716 0.43540273 0.48973682 8.7177451 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -9.6838173 2.3982617 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -15.108204 3.4802940 0.68425838 0.80984397 7.6465770 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -15.540238 2.6727685 0.35294571 -0.0000000 8.3359209 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -39.474458 2.5352687 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -25.048911 2.7030872 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 6 -28.078825 3.2161531 0.43708957 -0.0000000 9.7879901 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -15.416106 2.8761391 56.356653 0.0000000 345674.14 5 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -16.556425 2.5041897 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 241 9 -27.027746 0.23471504 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -29.284866 2.6340137 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -30.968561 2.9983800 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -75.901322 3.5585517 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 13 32.283364 4.5394979 0.35247130 -0.0000000 13.744516 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -28.351096 3.1449314 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 15 -10.623079 2.8146836 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 16 -13.722507 3.0884744 1.0618457 -0.0000000 11.607720 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 17 -23.136468 3.7396454 0.54313548 -0.0000000 7.8467505 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 18 -29.027223 2.9013325 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 19 -9.1118771 3.8992165 1.0672159 1.2502093 7.8674628 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 20 -18.840411 3.9028700 0.64298199 -0.0000000 7.9447056 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 21 -14.615186 4.4323652 2.0626262 2.7525128 6.9616155 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 22 -9.0134502 2.4653163 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 23 -11.058251 2.7829780 0.30678768 -0.0000000 9.0843907 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 24 -4.2050550 2.8008822 0.52875272 -0.0000000 8.2492696 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 25 -14.335179 3.2701102 0.41970262 -0.0000000 6.8455630 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 26 -9.1944275 2.5368236 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 27 -14.488931 2.9201410 0.67048846 -0.0000000 9.2836286 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 28 -28.659366 3.6129870 0.59769145 -0.0000000 7.5203548 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 29 -27.960229 3.6838405 0.30229443 0.33716402 8.9399924 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 30 -16.720116 3.7149436 0.58049106 -0.0000000 7.9141396 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 31 -23.445534 3.1461439 1.5704247 -0.0000000 9.7713848 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 32 -21.532180 3.1008526 0.75837489 -0.0000000 9.0940107 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 33 -19.845845 3.0682627 0.47611161 -0.0000000 9.7456143 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 34 -14.254664 3.1714998 0.60850019 -0.0000000 9.7715679 1 . 241 320 0.368 . 242 320 0.141 . 243 320 0.140 . 244 320 0.132 . 245 320 0.130 . 246 320 0.135 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 247 18 171.69390 12.687870 36.888226 4.5758572 4.1726281e+08 5 . 247 320 0.257 . 248 320 0.135 . 249 320 0.136 . 250 320 0.135 . 251 320 0.128 . 252 320 0.147 . 253 320 0.138 . 254 320 0.140 . 255 320 0.143 . 256 320 0.138 . 257 320 0.130 . 258 320 0.139 . 259 320 0.129 . 260 320 0.139 . 261 320 0.137 . 262 320 0.138 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 0 -18.312041 0.25477085 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -14.309431 3.2371235 0.58005695 0.63937885 7.2078310 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -12.660119 3.2634094 0.54389668 -0.0000000 6.9016922 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -8.8044004 2.4137183 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -39.409973 3.5049309 0.44879823 -0.0000000 7.1982178 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 5 -35.519385 0.28870633 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 6 -32.811988 0.20373138 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 7 -18.639349 0.28764708 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -14.337819 2.8874794 1.3787300 -0.0000000 8.8578640 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -36.825534 3.6562452 0.56866172 -0.0000000 7.4795621 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 11 -39.962191 4.0649194 0.32850642 -0.0000000 8.8556798 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 12 -63.786033 0.23772250 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 15 -18.933723 3.1250651 0.36862463 -0.0000000 10.345748 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 16 -15.553342 2.7430338 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 17 -10.647342 3.8684667 0.69783816 0.76663499 9.3407191 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 18 -18.554102 3.3870647 0.43586954 -0.0000000 11.142881 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 19 -8.3210775 2.9908118 5.2423216 0.0000000 8.4008506 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 20 -16.003961 3.8628219 0.89454505 -0.0000000 8.0096483 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 21 -10.834432 2.4984611 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 22 -7.2982921 2.4404177 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 23 -7.5796894 3.4739433 1.5878779 -0.0000000 7.2588898 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 24 -9.2625262 2.3864484 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 25 -3.9875638 2.9983412 1.1148166 1.0309461 8.8280427 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 26 -13.416536 2.8536196 0.68780964 -0.0000000 8.4638313 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 27 -3.5883243 2.7770854 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 28 -21.943261 3.1595625 1.2741080 -0.0000000 9.3940718 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 29 -12.032009 3.6640450 0.92278714 0.98482980 9.6823980 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 30 -18.066165 3.6541468 1.0549588 -0.0000000 7.7992215 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 31 -18.472217 2.7752023 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 32 -22.294373 2.7406005 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 33 -22.827333 2.7075263 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 34 -21.622626 3.7750027 0.77398744 0.95518437 8.6282380 1 . 263 320 0.248 . 264 320 0.135 . 265 320 0.135 . 266 320 0.135 . 267 320 0.134 . 268 320 0.137 . 269 320 0.130 . 270 320 0.131 . 271 320 0.135 . 272 320 0.141 . 273 320 0.131 . 274 320 0.121 . 275 320 0.135 . 276 320 0.106 . 277 320 0.133 . 278 320 0.126 . 279 320 0.128 . 280 320 0.133 . 281 320 0.132 . 282 320 0.136 . 283 320 0.142 . 284 320 0.129 . 285 320 0.134 . 286 320 0.127 . 287 320 0.136 . 288 320 0.134 . 289 320 0.137 . 290 320 0.136 . 291 320 0.136 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -8.4823345 2.6949047 0.61453154 -0.0000000 7.9964251 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -12.922412 2.7057599 0.40190193 -0.0000000 7.9158874 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -5.8522040 2.7190737 0.42452937 -0.0000000 8.5648437 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -9.2702450 3.7480421 1.2639784 1.6015728 6.7917609 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -19.595466 3.5700650 0.61497141 -0.0000000 7.3892007 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -33.390178 3.5074280 0.55826322 -0.0000000 7.2096487 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -34.004568 2.5296565 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 8 -16.136489 2.8536130 0.60834452 -0.0000000 8.9540592 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 9 -27.307509 0.20750588 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -27.370378 3.3799276 0.63201167 0.63522955 8.8299451 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 11 -40.397182 0.29429555 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -42.276843 4.8897906 0.44415601 -0.0000000 9.4333837 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 13 -60.790544 0.27214781 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 14 -44.907414 0.26181601 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 15 -43.080556 3.5582540 0.59513834 -0.0000000 7.4706527 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 16 -31.234679 3.5296037 0.40760394 -0.0000000 7.4227527 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 17 -25.833637 0.24405076 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 18 -37.748422 3.9237015 0.44255849 -0.0000000 7.9627479 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 19 -18.467495 2.4985195 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 20 -21.703746 2.7147064 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 21 -16.936899 2.3984249 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 22 -15.080644 2.3852244 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 23 -13.695367 2.9372765 0.73063257 0.62976261 8.8324246 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 24 -6.5424387 2.3836164 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 25 -9.0662626 3.0390093 0.56274534 0.50951862 9.0796817 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 26 -11.324963 2.8445835 2.1846347 -0.0000000 7.9945424 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 27 -14.468971 2.8793343 0.48685147 -0.0000000 9.2729351 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 28 -28.393534 2.7376046 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 29 -19.556949 2.6917503 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 30 -22.849379 2.7042127 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 31 -21.051503 3.0828952 0.50256787 -0.0000000 9.6023221 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 32 -26.712141 3.7407776 0.84546957 -0.0000000 7.6669435 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 33 -19.856355 3.1230945 1.8345208 -0.0000000 9.4745674 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 34 -30.128267 3.7332966 0.40395740 0.48743448 8.1506311 1 . 292 320 0.262 . 293 320 0.121 . 294 320 0.127 . 295 320 0.129 . 296 320 0.130 . 297 320 0.132 . 298 320 0.129 . 299 320 0.129 . 300 320 0.134 . 301 320 0.130 . 302 320 0.144 . 303 320 0.126 . 304 320 0.131 . 305 320 0.126 . 306 320 0.119 . 307 320 0.132 . 308 320 0.138 . 309 320 0.126 . 310 320 0.128 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -9.5460600 2.6505960 0.79959613 -0.0000000 7.7741918 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -15.641412 2.6366841 0.43530805 -0.0000000 7.9663095 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -15.631433 3.1803222 0.68968852 -0.0000000 6.6528840 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -10.912930 2.5575150 43.962610 0.0000000 74682.618 5 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 311 4 -20.158853 0.25665569 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -44.460217 2.8591533 0.44738578 -0.0000000 9.2084087 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -40.541693 3.4135201 0.32760162 -0.0000000 7.3019729 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -64.620806 2.4496923 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -20.966429 3.2080702 0.65843224 0.70505467 7.6798078 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 311 9 -32.548733 0.20497664 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -32.749269 2.4579458 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -48.703912 3.8178037 0.34787665 -0.0000000 7.9153980 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -65.383161 3.9461906 0.38385473 -0.0000000 8.1914093 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -97.824802 3.4619627 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -38.148099 2.8883205 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 15 -55.165007 2.5414775 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 311 16 -27.231928 0.27221527 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 311 17 -41.685195 0.27088756 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 18 -43.405491 3.5605682 0.36724768 -0.0000000 7.3421226 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 19 -30.284934 3.4467307 0.60920525 -0.0000000 7.0802151 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 20 -37.275105 2.9197842 0.62324002 -0.0000000 9.2738934 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 21 -23.564124 2.8146926 1.0030597 -0.0000000 8.6554840 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 22 -21.165282 3.1067098 0.88909543 -0.0000000 6.4798568 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 23 -18.922857 2.8064747 0.64415852 -0.0000000 8.5859994 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 24 -9.5020848 2.7591460 1.3365194 -0.0000000 7.9907303 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 25 -13.763456 2.7322219 1.4296678 -0.0000000 8.1430617 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 26 -15.019881 2.5321843 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 27 -20.753670 2.8939740 1.5968706 -0.0000000 8.9089979 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 28 -35.641126 2.7116763 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 311 29 -32.593670 0.27820397 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 30 -25.611785 2.9328766 1.9822633 -0.0000000 9.0599427 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 31 -39.021004 2.9741773 0.47420234 -0.0000000 9.2752660 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 32 -26.015528 2.7905327 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 33 -34.495416 2.5433676 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 34 -33.091958 2.9655521 0.54797997 -0.0000000 9.4024182 1 . 311 320 0.426 . 312 320 0.125 . 313 320 0.117 . 314 320 0.137 . 315 320 0.137 . 316 320 0.131 . 317 320 0.130 . 318 320 0.119 . 319 320 0.075 FITARCIMAGE_GLOBAL: r2: Discarding trace 0, at 5852.4880 with 41 centroids too close to an edge FITARCIMAGE_GLOBAL: r2: Line 1, at 5881.8950 Ang: ERR= 0.00972426 ERR_RMS= 0.000632322 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 2, at 5944.8340 Ang: ERR= 0.00700122 ERR_RMS= 0.000425254 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 3, at 6029.9970 Ang: ERR= 0.0125768 ERR_RMS= 0.000786704 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 4, at 6074.3380 Ang: ERR= 0.00560288 ERR_RMS= 0.0141484 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 5, at 6096.1630 Ang: ERR= 0.00442401 ERR_RMS= 0.0160191 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 6, at 6143.0630 Ang: ERR= 0.00361061 ERR_RMS= 0.0150618 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 7, at 6163.5940 Ang: ERR= 0.00666243 ERR_RMS= 0.0158357 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 8, at 6217.2810 Ang: ERR= 0.00801666 ERR_RMS= 0.000433803 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 9, at 6266.4950 Ang: ERR= 0.00434301 ERR_RMS= 0.0227972 pix, 1 masked. FITARCIMAGE_GLOBAL: r2: Line 10, at 6304.7890 Ang: ERR= 0.00723119 ERR_RMS= 0.000380011 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 11, at 6334.4280 Ang: ERR= 0.00373454 ERR_RMS= 0.0163721 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 12, at 6382.9920 Ang: ERR= 0.00355666 ERR_RMS= 0.0131946 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 13, at 6402.2460 Ang: ERR= 0.00229737 ERR_RMS= 0.0177254 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 14, at 6506.5280 Ang: ERR= 0.00308775 ERR_RMS= 0.0166930 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 15, at 6532.8820 Ang: ERR= 0.00599432 ERR_RMS= 0.000297017 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 16, at 6598.9530 Ang: ERR= 0.00473340 ERR_RMS= 0.0150487 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 17, at 6717.0430 Ang: ERR= 0.00440123 ERR_RMS= 0.0201623 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 18, at 6929.4670 Ang: ERR= 0.00375122 ERR_RMS= 0.000168789 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 19, at 7173.9380 Ang: ERR= 0.00825119 ERR_RMS= 0.000451056 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 20, at 7245.1670 Ang: ERR= 0.00403386 ERR_RMS= 0.000170499 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 21, at 7438.9000 Ang: ERR= 0.00781015 ERR_RMS= 0.000369918 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 22, at 7488.8710 Ang: ERR= 0.0145319 ERR_RMS= 0.00101402 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 23, at 7535.7740 Ang: ERR= 0.0170202 ERR_RMS= 0.00103606 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 24, at 7635.1060 Ang: ERR= 0.0333337 ERR_RMS= 0.00229130 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 25, at 8014.7860 Ang: ERR= 0.0845324 ERR_RMS= 0.0125908 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 26, at 8103.6930 Ang: ERR= 0.0621720 ERR_RMS= 0.00632580 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 27, at 8300.3260 Ang: ERR= 0.0240653 ERR_RMS= 0.00163900 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 28, at 8377.6065 Ang: ERR= 0.00936733 ERR_RMS= 0.000524463 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 29, at 8495.3598 Ang: ERR= 0.0133252 ERR_RMS= 0.0149968 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 30, at 8591.2583 Ang: ERR= 0.0253913 ERR_RMS= 0.00190752 pix, 8 masked. FITARCIMAGE_GLOBAL: r2: Line 31, at 8634.6470 Ang: ERR= 0.0275759 ERR_RMS= 0.00218608 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 32, at 8654.3831 Ang: ERR= 0.0174224 ERR_RMS= 0.00122679 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 33, at 8853.8670 Ang: ERR= 0.0393861 ERR_RMS= 0.00330245 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 34, at 9122.9674 Ang: ERR= 0.0981494 ERR_RMS= 0.0168953 pix, 8 masked. FITARCIMAGE_GLOBAL: r2: Number of good arc lines: 34 FITARCIMAGE_GLOBAL: r2: Number of arclines = 34 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 1 11 34 0 12 34 0 13 34 0 14 34 0 15 34 1 16 34 0 17 34 1 18 34 0 19 34 0 20 34 0 21 34 1 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 1 38 34 1 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 1 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 1 54 34 6 55 34 3 56 34 1 57 34 0 58 34 0 59 34 0 60 34 1 61 34 0 62 34 0 63 34 0 64 34 0 65 34 1 66 34 0 67 34 1 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 1 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 1 93 34 0 94 34 0 95 34 0 96 34 1 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 1 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 2 118 34 0 119 34 0 120 34 0 121 34 1 122 34 0 123 34 1 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 1 137 34 1 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 1 167 34 0 168 34 0 169 34 2 170 34 0 171 34 1 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 5 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 1 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 1 223 34 1 224 34 8 225 34 0 226 34 0 227 34 0 228 34 4 229 34 1 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 33 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 1 248 34 0 249 34 0 250 34 0 251 34 1 252 34 0 253 34 1 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 28 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 1 270 34 0 271 34 0 272 34 0 273 34 1 274 34 0 275 34 0 276 34 8 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 29 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 1 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 29 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 3 319 34 15 XY2TRACESET: r2: Total rejected = 207 Pass 1 complete FITARCIMAGE_GLOBAL: r2: Number of arclines after bundle test = 34 FITARCLINES: r2: ncoeffs (x,y): 4 5 FITARCLINES: r2: errored out 1 fibers: 241 FITARCLINES: r2: fit rchi2: 0.068035931 FITARCLINES: r2: offset stddev: 320 2.7560377e-13 FITARCLINES: r2: scale stddev: 320 6.9503759e-13 FITARCLINES: r2: poly x,y,stddev: 0 0 5.9458084e-07 FITARCLINES: r2: poly x,y,stddev: 1 0 1.7803976e-06 FITARCLINES: r2: poly x,y,stddev: 2 0 1.4237872e-06 FITARCLINES: r2: poly x,y,stddev: 3 0 2.8491739e-06 FITARCLINES: r2: poly x,y,stddev: 0 1 4.1937471e-07 FITARCLINES: r2: poly x,y,stddev: 1 1 1.2606341e-06 FITARCLINES: r2: poly x,y,stddev: 2 1 1.0107171e-06 FITARCLINES: r2: poly x,y,stddev: 3 1 2.0211926e-06 FITARCLINES: r2: poly x,y,stddev: 0 2 2.7537990e-07 FITARCLINES: r2: poly x,y,stddev: 1 2 8.1611590e-07 FITARCLINES: r2: poly x,y,stddev: 2 2 6.4336908e-07 FITARCLINES: r2: poly x,y,stddev: 3 2 1.2917036e-06 FITARCLINES: r2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: r2: IVAR=0 centroids masked: 177 Final arcfit complete FITARCIMAGE_GLOBAL: r2: Time 65. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 3 1.00 8.17 .0001 1 1.00 9.13 .0002 2 1.00 8.77 .0003 2 1.00 9.04 .0004 1 1.00 9.32 .0005 3 1.00 9.03 .0006 3 1.00 8.28 .0007 1 1.00 9.21 .0008 3 1.00 7.71 .0009 1 1.00 10.45 .0010 3 1.00 7.61 .0011 2 1.00 7.23 .0012 2 1.00 9.20 .0013 2 1.00 9.16 .0014 4 1.00 7.38 .0015 2 1.00 8.88 .0016 3 1.00 8.48 .0017 3 1.00 8.43 .0018 2 1.00 9.17 .0019 3 1.00 6.40 .0020 3 1.00 8.16 .0021 2 1.00 8.29 .0022 2 1.00 8.88 .0023 2 1.00 8.61 .0024 2 1.00 7.65 .0025 4 1.00 8.35 .0026 1 1.00 9.34 .0027 3 1.00 8.04 .0028 3 1.00 7.81 .0029 2 1.00 9.21 .0030 2 1.00 8.63 .0031 3 1.00 7.70 .0032 1 1.00 9.87 .0033 2 1.00 8.82 .0034 3 1.00 7.35 .0035 2 1.00 9.85 .0036 2 1.00 9.25 .0037 3 1.00 7.95 .0038 3 1.00 7.82 .0039 2 1.00 9.81 .0040 3 1.00 8.98 .0041 2 1.00 10.04 .0042 1 1.00 9.05 .0043 2 1.00 9.80 .0044 3 1.00 7.90 .0045 2 1.00 9.36 .0046 2 1.00 7.40 .0047 2 1.00 10.04 .0048 2 1.00 7.45 .0049 1 1.00 12.47 .0050 1 1.00 10.97 .0051 2 1.00 10.25 .0052 2 1.00 10.01 .0053 2 1.00 9.14 .0054 4 1.00 6.15 .0055 3 1.00 8.80 .0056 2 1.00 10.63 .0057 1 1.00 9.92 .0058 2 1.00 8.48 .0059 2 1.00 9.20 .0060 2 1.00 8.01 .0061 3 1.00 7.76 .0062 1 1.00 9.05 .0063 4 1.00 7.91 .0064 2 1.00 8.70 .0065 3 1.00 7.42 .0066 1 1.00 10.65 .0067 2 1.00 8.10 .0068 3 1.00 6.75 .0069 1 1.00 7.62 .0070 3 1.00 8.05 .0071 4 1.00 8.23 .0072 3 1.00 8.82 .0073 2 1.00 9.65 .0074 2 1.00 9.31 .0075 2 1.00 8.61 .0076 1 1.00 10.97 .0077 1 1.00 10.23 .0078 3 1.00 8.78 .0079 2 1.00 8.53 .0080 2 1.00 8.16 .0081 3 1.00 8.72 .0082 3 1.00 6.97 .0083 1 1.00 9.76 .0084 3 1.00 6.44 .0085 1 1.00 10.26 .0086 1 1.00 8.52 .0087 3 1.00 8.33 .0088 2 1.00 7.91 .0089 2 1.00 7.13 .0090 1 1.00 9.26 .0091 3 1.00 7.41 .0092 3 1.00 7.43 .0093 4 1.00 7.05 .0094 2 1.00 8.65 .0095 2 1.00 7.62 .0096 2 1.00 8.45 .0097 2 1.00 8.21 .0098 3 1.00 7.78 .0099 3 1.00 7.93 .0100 3 1.00 6.81 .0101 2 1.00 9.13 .0102 2 1.00 7.59 .0103 2 1.00 7.88 .0104 2 1.00 8.27 .0105 2 1.00 7.95 .0106 2 1.00 7.11 .0107 2 1.00 7.91 .0108 5 1.00 6.53 .0109 3 1.00 7.30 .0110 2 1.00 8.29 .0111 2 1.00 8.28 .0112 2 1.00 7.32 .0113 2 1.00 7.27 .0114 2 1.00 7.72 .0115 4 1.00 6.14 .0116 1 1.00 9.36 .0117 1 1.00 9.10 .0118 1 1.00 7.01 .0119 2 1.00 8.48 .0120 4 1.00 7.10 .0121 4 1.00 6.96 .0122 2 1.00 7.52 .0123 2 1.00 6.67 .0124 3 1.00 5.59 .0125 2 1.00 6.73 .0126 3 1.00 6.71 .0127 3 1.00 7.55 .0128 2 1.00 7.86 .0129 3 1.00 7.98 .0130 4 1.00 7.56 .0131 3 1.00 6.20 .0132 3 1.00 7.19 .0133 4 1.00 6.49 .0134 2 1.00 8.32 .0135 2 1.00 9.22 .0136 1 1.00 7.58 .0137 2 1.00 9.41 .0138 1 1.00 10.52 .0139 3 1.00 7.15 .0140 4 1.00 5.41 .0141 3 1.00 7.43 .0142 3 1.00 7.82 .0143 2 1.00 9.01 .0144 2 1.00 9.63 .0145 2 1.00 10.84 .0146 2 1.00 8.64 .0147 1 1.00 9.97 .0148 2 1.00 10.37 .0149 2 1.00 10.08 .0150 2 1.00 8.02 .0151 3 1.00 8.69 .0152 3 1.00 8.01 .0153 2 1.00 9.75 .0154 3 1.00 8.53 .0155 3 1.00 8.77 .0156 1 1.00 11.67 .0157 1 1.00 12.12 .0158 2 1.00 10.15 .0159 2 1.00 10.26 .0160 2 1.00 9.83 .0161 2 1.00 9.83 .0162 2 1.00 9.56 .0163 1 1.00 11.62 .0164 2 1.00 10.63 .0165 2 1.00 8.27 .0166 4 1.00 8.02 .0167 2 1.00 9.95 .0168 4 1.00 6.50 .0169 3 1.00 7.35 .0170 3 1.00 7.37 .0171 3 1.00 7.42 .0172 1 1.00 9.54 .0173 1 1.00 11.54 .0174 1 1.00 11.85 .0175 1 1.00 12.40 .0176 1 1.00 11.27 .0177 1 1.00 11.96 .0178 1 1.00 9.69 .0179 2 1.00 10.10 .0180 2 1.00 10.73 .0181 2 1.00 10.24 .0182 1 1.00 10.68 .0183 1 1.00 10.64 .0184 1 1.00 11.62 .0185 1 1.00 10.98 .0186 1 1.00 9.61 .0187 2 1.00 7.84 .0188 1 1.00 10.02 .0189 1 1.00 11.51 .0190 1 1.00 10.62 .0191 1 1.00 11.72 .0192 1 1.00 10.48 .0193 1 1.00 10.81 .0194 1 1.00 10.27 .0195 1 1.00 10.38 .0196 1 1.00 10.62 .0197 1 1.00 11.05 .0198 2 1.00 8.72 .0199 1 1.00 10.80 .0200 2 1.00 9.19 .0201 2 1.00 8.43 .0202 1 1.00 10.56 .0203 2 1.00 7.48 .0204 2 1.00 8.18 .0205 2 1.00 8.06 .0206 2 1.00 8.47 .0207 1 1.00 8.98 .0208 2 1.00 8.38 .0209 1 1.00 10.76 .0210 1 1.00 10.35 .0211 1 1.00 10.99 .0212 2 1.00 9.36 .0213 2 1.00 9.59 .0214 1 1.00 10.10 .0215 1 1.00 10.32 .0216 1 1.00 10.92 .0217 2 1.00 9.82 .0218 2 1.00 9.58 .0219 1 1.00 10.97 .0220 3 1.00 7.98 .0221 1 1.00 9.33 .0222 3 1.00 8.22 .0223 2 1.00 7.06 .0224 2 1.00 7.63 .0225 2 1.00 8.80 .0226 2 1.00 8.11 .0227 1 1.00 9.40 .0228 2 1.00 8.02 .0229 2 1.00 8.61 .0230 2 1.00 8.89 .0231 1 1.00 9.84 .0232 1 1.00 9.85 .0233 2 1.00 8.20 .0234 1 1.00 10.64 .0235 1 1.00 13.05 .0236 3 1.00 9.64 .0237 3 1.00 8.45 .0238 2 1.00 8.03 .0239 2 1.00 10.40 .0240 2 1.00 8.79 .0241 1 1.00 0.93 .0242 2 1.00 8.61 .0243 2 1.00 9.48 .0244 2 1.00 8.01 .0245 2 1.00 8.89 .0246 2 1.00 7.60 .0247 3 1.00 7.65 .0248 2 1.00 8.03 .0249 2 1.00 7.29 .0250 2 1.00 9.38 .0251 2 1.00 9.91 .0252 2 1.00 7.97 .0253 2 1.00 9.22 .0254 2 1.00 7.95 .0255 2 1.00 8.62 .0256 4 1.00 7.67 .0257 2 1.00 8.51 .0258 3 1.00 8.57 .0259 1 1.00 9.89 .0260 1 1.00 7.45 .0261 1 1.00 7.57 .0262 3 1.00 7.12 .0263 1 1.00 0.82 .0264 4 1.00 7.80 .0265 1 1.00 9.91 .0266 2 1.00 8.66 .0267 2 1.00 7.49 .0268 2 1.00 6.78 .0269 2 1.00 8.04 .0270 2 1.00 8.60 .0271 2 1.00 8.48 .0272 3 1.00 8.34 .0273 3 1.00 7.90 .0274 2 1.00 7.60 .0275 2 1.00 8.91 .0276 1 1.00 7.91 .0277 2 1.00 8.79 .0278 2 1.00 7.99 .0279 2 1.00 7.99 .0280 1 1.00 9.33 .0281 1 1.00 9.02 .0282 1 1.00 11.09 .0283 2 1.00 9.19 .0284 3 1.00 7.10 .0285 2 1.00 7.54 .0286 4 1.00 5.93 .0287 1 1.00 9.40 .0288 1 1.00 7.94 .0289 1 1.00 9.49 .0290 2 1.00 7.91 .0291 2 1.00 7.09 .0292 1 1.00 0.82 .0293 2 1.00 8.09 .0294 2 1.00 8.24 .0295 3 1.00 8.09 .0296 2 1.00 6.57 .0297 2 1.00 8.02 .0298 1 1.00 8.72 .0299 2 1.00 7.82 .0300 3 1.00 6.71 .0301 1 1.00 8.44 .0302 1 1.00 7.68 .0303 2 1.00 7.07 .0304 2 1.00 7.43 .0305 1 1.00 8.47 .0306 3 1.00 6.44 .0307 2 1.00 7.09 .0308 2 1.00 7.20 .0309 1 1.00 8.10 .0310 1 1.00 8.95 .0311 1 1.00 1.26 .0312 2 1.00 6.57 .0313 2 1.00 6.58 .0314 1 1.00 9.71 .0315 1 1.00 9.26 .0316 1 1.00 8.29 .0317 1 1.00 8.23 .0318 1 1.00 7.49 .0319 4 1.00 2.47 EXTRACT_IMAGE: r2: masked 386 pixels TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: r2: Total rejected = 0 FITDISPERSION: r2: Median wavelength widths = 0.87 0.86 0.82 0.78 pix (LL LR UL UR) SPCALIB: r2: Create fiberflats for flat # 1 of 2 SPCALIB: r2: Flat sdR-r2-00034673.fit paired with arc sdR-r2-00034674.fit SPCALIB: r2: Reading flat sdR-r2-00034673.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.56626 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 470.066 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.76255 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1317.63 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1297. DN is 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 3.15 .0004 1 0.92 2.94 .0005 1 0.92 2.93 .0006 1 0.92 3.19 .0007 1 0.92 2.98 .0008 1 0.92 3.04 .0009 1 0.92 2.90 .0010 1 0.92 3.12 .0011 1 0.92 3.06 .0012 1 0.92 3.10 .0013 1 0.92 3.25 .0014 1 0.92 3.12 .0015 1 0.92 3.05 .0016 1 0.92 3.12 .0017 1 0.92 3.26 .0018 1 0.92 3.08 .0019 1 0.92 3.27 .0020 1 0.92 3.40 .0021 1 0.92 3.16 .0022 1 0.92 3.31 .0023 1 0.92 3.21 .0024 1 0.92 3.35 .0025 1 0.92 3.27 .0026 1 0.92 3.07 .0027 1 0.92 3.22 .0028 1 0.92 3.29 .0029 2 0.92 2.92 .0030 2 0.92 2.84 .0031 2 0.92 2.99 .0032 2 0.92 2.96 .0033 2 0.92 3.20 .0034 3 0.92 2.92 .0035 2 0.92 2.90 .0036 2 0.92 3.03 .0037 2 0.92 2.98 .0038 2 0.92 3.03 .0039 2 0.92 3.04 .0040 2 0.92 2.98 .0041 2 0.92 3.14 .0042 2 0.92 3.04 .0043 2 0.92 2.98 .0044 2 0.92 3.08 .0045 2 0.92 3.07 .0046 2 0.92 3.01 .0047 2 0.92 3.00 .0048 2 0.92 3.10 .0049 2 0.92 2.98 .0050 2 0.92 2.97 .0051 2 0.92 2.89 .0052 2 0.92 3.02 .0053 2 0.92 3.10 .0054 2 0.92 3.02 .0055 2 0.92 3.02 .0056 2 0.92 3.08 .0057 2 0.92 2.92 .0058 2 0.92 2.92 .0059 2 0.92 3.09 .0060 2 0.92 2.99 .0061 2 0.92 3.07 .0062 2 0.92 3.01 .0063 2 0.92 3.04 .0064 2 0.92 3.05 .0065 3 0.92 3.42 .0066 2 0.92 3.02 .0067 2 0.92 3.15 .0068 2 0.92 3.00 .0069 2 0.92 3.03 .0070 2 0.92 3.17 .0071 2 0.92 3.22 .0072 3 0.92 3.48 .0073 2 0.92 2.98 .0074 2 0.92 2.93 .0075 2 0.92 3.11 .0076 2 0.92 2.93 .0077 2 0.92 2.93 .0078 2 0.92 2.98 .0079 2 0.92 3.10 .0080 2 0.92 3.02 .0081 2 0.92 2.95 .0082 2 0.92 3.11 .0083 2 0.92 2.97 .0084 2 0.92 3.09 .0085 2 0.92 3.07 .0086 2 0.92 3.12 .0087 2 0.92 3.07 .0088 2 0.92 3.09 .0089 2 0.92 3.23 .0090 2 0.92 3.14 .0091 2 0.92 3.04 .0092 2 0.92 3.17 .0093 2 0.92 3.17 .0094 2 0.92 3.01 .0095 2 0.92 3.23 .0096 2 0.92 3.29 .0097 2 0.92 3.21 .0098 2 0.92 3.24 .0099 2 0.92 3.31 .0100 2 0.92 3.22 .0101 2 0.92 3.42 .0102 2 0.92 3.44 .0103 2 0.92 3.30 .0104 2 0.92 3.39 .0105 2 0.92 3.47 .0106 2 0.92 3.31 .0107 2 0.92 3.06 .0108 2 0.92 2.95 .0109 2 0.92 3.26 .0110 2 0.92 3.13 .0111 2 0.92 3.06 .0112 2 0.92 3.09 .0113 2 0.92 3.12 .0114 2 0.92 3.16 .0115 2 0.92 3.21 .0116 2 0.92 3.25 .0117 2 0.92 3.26 .0118 2 0.92 3.41 .0119 2 0.92 3.19 .0120 2 0.92 3.19 .0121 2 0.92 3.21 .0122 2 0.92 3.21 .0123 2 0.92 3.25 .0124 2 0.92 3.41 .0125 2 0.92 3.41 .0126 2 0.92 3.27 .0127 2 0.92 3.38 .0128 2 0.92 3.39 .0129 2 0.92 3.52 .0130 2 0.92 3.36 .0131 2 0.92 3.45 .0132 2 0.92 3.48 .0133 2 0.92 3.74 .0134 2 0.92 3.69 .0135 2 0.92 3.65 .0136 2 0.92 3.59 .0137 2 0.92 3.69 .0138 2 0.92 3.75 .0139 2 0.92 3.50 .0140 2 0.92 3.61 .0141 2 0.92 3.64 .0142 2 0.92 3.71 .0143 2 0.92 3.78 .0144 2 0.92 3.73 .0145 2 0.92 3.76 .0146 2 0.92 3.66 .0147 2 0.92 3.72 .0148 2 0.92 4.12 .0149 2 0.92 3.73 .0150 2 0.92 3.93 .0151 2 0.92 4.01 .0152 2 0.92 3.95 .0153 2 0.92 3.99 .0154 2 0.92 4.01 .0155 3 0.92 4.13 .0156 2 0.92 4.02 .0157 2 0.92 4.16 .0158 2 0.92 4.07 .0159 2 0.92 4.05 .0160 2 0.92 4.16 .0161 2 0.92 4.15 .0162 2 0.92 4.46 .0163 2 0.92 4.28 .0164 2 0.92 4.29 .0165 2 0.92 4.38 .0166 2 0.92 4.26 .0167 2 0.92 4.34 .0168 2 0.92 4.32 .0169 2 0.92 4.32 .0170 2 0.92 4.49 .0171 2 0.92 4.41 .0172 2 0.92 4.31 .0173 2 0.92 4.44 .0174 3 0.92 4.70 .0175 2 0.92 4.52 .0176 2 0.92 4.70 .0177 2 0.92 4.53 .0178 2 0.92 4.49 .0179 2 0.92 4.59 .0180 2 0.92 4.61 .0181 2 0.92 4.67 .0182 2 0.92 4.52 .0183 2 0.92 4.54 .0184 2 0.92 4.60 .0185 2 0.92 4.65 .0186 2 0.92 4.61 .0187 2 0.92 4.45 .0188 2 0.92 4.60 .0189 2 0.92 4.46 .0190 2 0.92 4.74 .0191 2 0.92 4.52 .0192 2 0.92 4.56 .0193 2 0.92 4.39 .0194 2 0.92 4.26 .0195 2 0.92 4.44 .0196 2 0.92 4.29 .0197 2 0.92 4.37 .0198 2 0.92 4.55 .0199 2 0.92 4.23 .0200 2 0.92 4.34 .0201 2 0.92 4.23 .0202 2 0.92 4.26 .0203 2 0.92 4.29 .0204 2 0.92 4.26 .0205 2 0.92 4.37 .0206 2 0.92 4.23 .0207 1 0.92 4.87 .0208 2 0.92 3.93 .0209 1 0.92 4.69 .0210 1 0.92 4.48 .0211 1 0.92 4.62 .0212 1 0.92 4.57 .0213 1 0.92 5.21 .0214 1 0.92 4.76 .0215 1 0.92 4.47 .0216 1 0.92 4.48 .0217 1 0.92 4.65 .0218 1 0.92 4.52 .0219 1 0.92 4.38 .0220 1 0.92 4.45 .0221 1 0.92 4.55 .0222 1 0.92 4.25 .0223 1 0.92 4.35 .0224 1 0.92 4.46 .0225 1 0.92 4.31 .0226 1 0.92 4.42 .0227 1 0.92 4.29 .0228 1 0.92 4.36 .0229 1 0.92 4.21 .0230 1 0.92 4.26 .0231 1 0.92 4.35 .0232 1 0.92 4.53 .0233 1 0.92 4.11 .0234 1 0.92 4.19 .0235 1 0.92 4.34 .0236 1 0.92 4.27 .0237 1 0.92 4.43 .0238 1 0.92 4.72 .0239 1 0.92 4.19 .0240 1 0.92 4.18 .0241 1 0.92 4.31 .0242 1 0.92 4.32 .0243 1 0.92 4.36 .0244 1 0.92 4.30 .0245 1 0.92 4.31 .0246 1 0.92 4.41 .0247 1 0.92 4.38 .0248 1 0.92 4.92 .0249 1 0.92 4.43 .0250 1 0.92 4.40 .0251 1 0.92 4.40 .0252 1 0.92 4.34 .0253 1 0.92 4.60 .0254 1 0.92 4.52 .0255 1 0.92 4.42 .0256 1 0.92 4.61 .0257 1 0.92 4.64 .0258 1 0.92 4.55 .0259 1 0.92 4.49 .0260 1 0.92 4.78 .0261 1 0.92 4.63 .0262 1 0.92 4.67 .0263 1 0.92 4.62 .0264 1 0.92 4.53 .0265 1 0.92 4.92 .0266 1 0.92 4.74 .0267 1 0.92 5.19 .0268 2 0.92 4.70 .0269 2 0.92 4.86 .0270 1 0.92 4.94 .0271 1 0.92 4.87 .0272 1 0.92 4.78 .0273 1 0.92 4.79 .0274 1 0.92 5.01 .0275 1 0.92 5.74 .0276 1 0.92 5.09 .0277 1 0.92 4.91 .0278 1 0.92 4.92 .0279 1 0.92 4.93 .0280 1 0.92 4.87 .0281 1 0.92 4.96 .0282 1 0.92 4.84 .0283 1 0.92 5.12 .0284 1 0.92 5.16 .0285 1 0.92 5.05 .0286 1 0.92 5.11 .0287 1 0.92 5.04 .0288 1 0.92 5.04 .0289 2 0.92 5.10 .0290 1 0.92 5.07 .0291 1 0.92 5.27 .0292 1 0.92 4.93 .0293 1 0.92 5.12 .0294 1 0.92 4.92 .0295 1 0.92 5.03 .0296 1 0.92 4.97 .0297 1 0.92 5.10 .0298 1 0.92 5.07 .0299 1 0.92 5.10 .0300 1 0.92 5.10 .0301 1 0.92 5.18 .0302 1 0.92 5.06 .0303 1 0.92 5.16 .0304 2 0.92 4.56 .0305 1 0.92 5.39 .0306 2 0.92 4.63 .0307 2 0.92 4.56 .0308 2 0.92 4.41 .0309 2 0.92 4.47 .0310 2 0.92 4.52 .0311 2 0.92 4.57 .0312 2 0.92 4.47 .0313 2 0.92 4.59 .0314 2 0.92 4.52 .0315 2 0.92 4.60 .0316 2 0.92 4.51 .0317 2 0.92 4.40 .0318 2 0.92 4.56 .0319 2 0.92 4.50 .0320 2 0.92 4.52 .0321 2 0.92 4.28 .0322 2 0.92 4.28 .0323 2 0.92 4.23 .0324 2 0.92 4.34 .0325 2 0.92 4.41 .0326 2 0.92 4.13 .0327 2 0.92 4.38 .0328 2 0.92 4.09 .0329 2 0.92 4.26 .0330 2 0.92 4.29 .0331 2 0.92 4.06 .0332 2 0.92 4.28 .0333 2 0.92 4.13 .0334 2 0.92 3.93 .0335 2 0.92 4.16 .0336 2 0.92 4.15 .0337 2 0.92 4.04 .0338 2 0.92 4.20 .0339 2 0.92 4.04 .0340 2 0.92 4.04 .0341 2 0.92 4.21 .0342 2 0.92 4.19 .0343 2 0.92 4.14 .0344 2 0.92 4.09 .0345 2 0.92 4.00 .0346 2 0.92 3.96 .0347 2 0.92 4.19 .0348 2 0.92 4.10 .0349 2 0.92 3.97 .0350 2 0.92 3.94 .0351 2 0.92 4.06 .0352 2 0.92 4.10 .0353 2 0.92 3.94 .0354 2 0.92 4.00 .0355 2 0.92 4.09 .0356 2 0.92 3.88 .0357 2 0.92 3.99 .0358 2 0.92 3.97 .0359 2 0.92 3.81 .0360 2 0.92 3.73 .0361 2 0.92 3.85 .0362 2 0.92 3.90 .0363 2 0.92 3.71 .0364 2 0.92 3.99 .0365 2 0.92 3.87 .0366 2 0.92 3.91 .0367 2 0.92 3.76 .0368 2 0.92 3.62 .0369 2 0.92 3.75 .0370 2 0.92 3.89 .0371 2 0.92 4.32 .0372 2 0.92 3.85 .0373 2 0.92 3.81 .0374 2 0.92 3.72 .0375 2 0.92 3.66 .0376 2 0.92 3.75 .0377 2 0.92 3.73 .0378 2 0.92 3.81 .0379 2 0.92 3.81 .0380 2 0.92 3.72 .0381 2 0.92 3.82 .0382 2 0.92 3.74 .0383 2 0.92 3.78 .0384 2 0.92 3.79 .0385 2 0.92 3.70 .0386 2 0.92 3.74 .0387 2 0.92 3.74 .0388 2 0.92 3.84 .0389 2 0.92 3.83 .0390 2 0.92 3.84 .0391 2 0.92 3.73 .0392 2 0.92 3.92 .0393 2 0.92 3.93 .0394 2 0.92 3.72 .0395 2 0.92 3.67 .0396 2 0.92 4.01 .0397 2 0.92 4.11 .0398 2 0.92 3.89 .0399 2 0.92 3.68 .0400 2 0.92 4.03 .0401 2 0.92 3.70 .0402 2 0.92 4.16 .0403 2 0.92 3.79 .0404 2 0.92 4.03 .0405 2 0.92 3.53 .0406 2 0.92 3.62 .0407 2 0.92 3.35 .0408 2 0.92 3.51 .0409 2 0.92 3.33 .0410 2 0.92 3.46 .0411 2 0.92 3.55 .0412 2 0.92 3.56 .0413 2 0.92 3.42 .0414 2 0.92 3.50 .0415 2 0.92 3.27 .0416 2 0.92 3.38 .0417 2 0.92 3.50 .0418 2 0.92 3.31 .0419 2 0.92 3.35 .0420 2 0.92 3.40 .0421 2 0.92 3.46 .0422 2 0.92 3.20 .0423 2 0.92 3.36 .0424 2 0.92 3.41 .0425 2 0.92 3.48 .0426 2 0.92 3.28 .0427 2 0.92 3.41 .0428 2 0.92 3.38 .0429 2 0.92 3.11 .0430 2 0.92 3.43 .0431 2 0.92 3.37 .0432 2 0.92 3.18 .0433 2 0.92 3.47 .0434 2 0.92 3.47 .0435 2 0.92 3.20 .0436 2 0.92 3.41 .0437 2 0.92 3.36 .0438 2 0.92 3.32 .0439 2 0.92 3.37 .0440 2 0.92 3.29 .0441 2 0.92 3.34 .0442 2 0.92 3.29 .0443 2 0.92 3.39 .0444 2 0.92 3.24 .0445 2 0.92 3.19 .0446 2 0.92 3.31 .0447 2 0.92 3.11 .0448 2 0.92 3.24 .0449 2 0.92 3.27 .0450 2 0.92 3.25 .0451 2 0.92 3.36 .0452 2 0.92 3.23 .0453 2 0.92 3.36 .0454 2 0.92 3.32 .0455 2 0.92 3.22 .0456 2 0.92 3.26 .0457 2 0.92 3.28 .0458 2 0.92 3.20 .0459 2 0.92 3.25 .0460 2 0.92 3.13 .0461 2 0.92 3.21 .0462 2 0.92 3.16 .0463 2 0.92 3.10 .0464 2 0.92 3.24 .0465 2 0.92 3.25 .0466 2 0.92 3.21 .0467 2 0.91 3.15 .0468 2 0.91 3.22 .0469 2 0.91 3.34 .0470 2 0.91 3.36 .0471 2 0.91 3.53 .0472 2 0.91 3.34 .0473 2 0.91 3.09 .0474 2 0.91 3.27 .0475 2 0.91 3.29 .0476 2 0.91 3.20 .0477 2 0.91 3.30 .0478 2 0.91 3.50 .0479 2 0.91 3.34 .0480 2 0.91 3.28 .0481 2 0.91 3.38 .0482 2 0.91 3.46 .0483 2 0.91 3.50 .0484 2 0.91 3.40 .0485 2 0.91 3.37 .0486 2 0.91 3.45 .0487 2 0.91 3.48 .0488 2 0.91 3.36 .0489 2 0.91 3.35 .0490 2 0.91 3.49 .0491 2 0.91 3.41 .0492 2 0.91 3.39 .0493 2 0.91 3.81 .0494 2 0.91 3.33 .0495 2 0.91 3.49 .0496 2 0.91 3.60 .0497 2 0.91 3.61 .0498 2 0.91 3.39 .0499 2 0.91 3.44 .0500 2 0.91 3.65 .0501 2 0.91 4.04 .0502 3 0.91 3.60 .0503 2 0.91 3.70 .0504 2 0.91 4.04 .0505 2 0.91 3.62 .0506 2 0.91 3.76 .0507 2 0.91 3.72 .0508 2 0.91 3.89 .0509 2 0.91 3.72 .0510 2 0.91 3.62 .0511 2 0.91 3.58 .0512 2 0.91 3.79 .0513 2 0.91 3.57 .0514 2 0.91 3.91 .0515 2 0.91 3.50 .0516 2 0.91 3.99 .0517 2 0.91 3.81 .0518 2 0.91 3.99 .0519 2 0.91 3.84 .0520 2 0.91 3.90 .0521 2 0.91 3.87 .0522 2 0.91 3.90 .0523 2 0.91 3.96 .0524 2 0.91 3.83 .0525 2 0.91 3.93 .0526 2 0.91 3.85 .0527 2 0.91 3.94 .0528 2 0.91 4.04 .0529 2 0.91 3.97 .0530 2 0.91 4.04 .0531 2 0.91 4.11 .0532 2 0.91 3.87 .0533 2 0.91 4.04 .0534 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0.93 5.79 .1811 1 0.93 5.72 .1812 1 0.94 6.04 .1813 1 0.94 5.76 .1814 1 0.94 5.77 .1815 1 0.94 5.75 .1816 1 0.94 6.55 .1817 1 0.94 5.95 .1818 1 0.94 6.23 .1819 1 0.94 6.16 .1820 1 0.94 6.05 .1821 1 0.94 6.14 .1822 1 0.94 6.04 .1823 1 0.94 6.27 .1824 1 0.94 5.94 .1825 1 0.94 5.85 .1826 1 0.94 6.15 .1827 1 0.94 6.05 .1828 1 0.94 6.19 .1829 1 0.94 5.81 .1830 1 0.94 5.85 .1831 1 0.94 5.93 .1832 1 0.94 5.73 .1833 1 0.94 5.91 .1834 1 0.94 6.16 .1835 1 0.94 5.92 .1836 1 0.94 6.35 .1837 1 0.94 6.18 .1838 1 0.94 5.86 .1839 1 0.94 6.36 .1840 1 0.94 5.97 .1841 1 0.94 5.97 .1842 1 0.94 6.09 .1843 1 0.94 6.22 .1844 1 0.94 6.36 .1845 1 0.94 6.11 .1846 2 0.94 6.22 .1847 1 0.94 6.82 .1848 1 0.94 5.88 .1849 1 0.94 6.52 .1850 2 0.94 6.16 .1851 1 0.94 6.84 .1852 1 0.94 6.19 .1853 1 0.94 6.73 .1854 2 0.94 6.40 .1855 1 0.94 6.38 .1856 1 0.94 6.06 .1857 1 0.94 6.18 .1858 1 0.94 6.24 .1859 1 0.94 6.82 .1860 2 0.94 6.39 .1861 1 0.94 6.26 .1862 1 0.94 6.61 .1863 1 0.94 7.27 .1864 1 0.94 6.45 .1865 1 0.94 6.51 .1866 1 0.94 6.06 .1867 1 0.94 6.49 .1868 1 0.94 6.12 .1869 1 0.94 6.08 .1870 1 0.94 6.22 .1871 1 0.94 6.30 .1872 1 0.94 6.00 .1873 1 0.94 6.58 .1874 1 0.94 6.37 .1875 1 0.94 6.53 .1876 1 0.94 6.79 .1877 1 0.94 7.13 .1878 1 0.94 6.10 .1879 1 0.94 6.19 .1880 1 0.94 6.16 .1881 1 0.94 6.54 .1882 1 0.94 6.37 .1883 1 0.94 6.18 .1884 1 0.94 6.23 .1885 1 0.94 6.19 .1886 1 0.94 6.36 .1887 1 0.94 6.47 .1888 1 0.94 6.42 .1889 1 0.94 6.32 .1890 1 0.94 6.39 .1891 1 0.94 6.41 .1892 2 0.94 6.31 .1893 1 0.94 6.27 .1894 1 0.94 5.97 .1895 1 0.94 6.33 .1896 1 0.94 6.24 .1897 1 0.94 6.00 .1898 1 0.94 5.99 .1899 1 0.94 6.03 .1900 1 0.94 5.94 .1901 1 0.94 5.93 .1902 1 0.94 6.00 .1903 1 0.94 6.18 .1904 1 0.94 6.15 .1905 1 0.94 6.19 .1906 1 0.94 6.02 .1907 1 0.94 5.92 .1908 1 0.94 5.99 .1909 2 0.94 5.98 .1910 2 0.94 6.70 .1911 1 0.94 6.05 .1912 1 0.94 5.94 .1913 1 0.94 6.11 .1914 1 0.94 5.91 .1915 1 0.94 6.63 .1916 1 0.94 6.31 .1917 1 0.94 5.95 .1918 1 0.94 6.01 .1919 1 0.94 6.13 .1920 1 0.94 5.82 .1921 1 0.94 5.71 .1922 1 0.94 5.77 .1923 1 0.94 5.83 .1924 1 0.94 5.75 .1925 1 0.94 6.00 .1926 1 0.94 5.85 .1927 1 0.94 6.05 .1928 1 0.94 5.98 .1929 1 0.94 6.10 .1930 1 0.94 6.20 .1931 1 0.94 6.00 .1932 1 0.94 5.88 .1933 1 0.94 5.93 .1934 1 0.94 6.56 .1935 1 0.94 6.11 .1936 1 0.94 5.92 .1937 1 0.94 6.05 .1938 1 0.94 6.04 .1939 1 0.94 6.18 .1940 1 0.94 5.96 .1941 1 0.94 6.22 .1942 1 0.94 5.99 .1943 1 0.94 5.91 .1944 1 0.94 5.96 .1945 1 0.94 5.87 .1946 1 0.94 6.06 .1947 1 0.94 5.91 .1948 1 0.94 5.82 .1949 1 0.94 5.81 .1950 1 0.94 5.91 .1951 1 0.94 5.81 .1952 1 0.94 5.82 .1953 1 0.94 5.71 .1954 1 0.94 5.60 .1955 1 0.94 5.65 .1956 1 0.94 5.68 .1957 1 0.94 5.71 .1958 1 0.94 5.78 .1959 1 0.94 5.83 .1960 1 0.94 5.74 .1961 1 0.94 5.84 .1962 1 0.94 5.81 .1963 1 0.94 5.75 .1964 1 0.94 5.86 .1965 1 0.94 5.95 .1966 1 0.93 5.90 .1967 1 0.93 5.74 .1968 1 0.93 5.79 .1969 1 0.93 5.62 .1970 1 0.93 5.70 .1971 1 0.93 5.71 .1972 1 0.93 5.85 .1973 1 0.93 5.84 .1974 1 0.93 5.86 .1975 1 0.93 5.76 .1976 1 0.93 5.71 .1977 1 0.93 5.90 .1978 1 0.93 6.09 .1979 1 0.93 5.78 .1980 1 0.93 5.86 .1981 1 0.93 5.96 .1982 1 0.93 6.23 .1983 1 0.93 6.10 .1984 1 0.93 6.00 .1985 1 0.93 5.93 .1986 1 0.93 5.73 .1987 1 0.93 5.60 .1988 1 0.93 5.85 .1989 1 0.93 5.67 .1990 1 0.93 5.75 .1991 1 0.93 5.84 .1992 1 0.93 5.77 .1993 1 0.93 5.62 .1994 1 0.93 5.45 .1995 1 0.93 5.55 .1996 1 0.93 5.20 .1997 1 0.93 5.29 .1998 1 0.93 5.32 .1999 1 0.93 5.46 .2000 1 0.93 5.48 .2001 1 0.93 5.41 .2002 1 0.93 5.47 .2003 1 0.93 5.35 .2004 1 0.93 5.41 .2005 1 0.93 5.33 .2006 1 0.93 5.34 .2007 1 0.93 5.57 .2008 1 0.93 5.78 .2009 1 0.93 5.86 .2010 3 0.93 5.65 .2011 1 0.93 5.42 .2012 1 0.93 5.44 .2013 1 0.93 5.61 .2014 1 0.93 5.75 .2015 1 0.93 5.46 .2016 1 0.93 6.15 .2017 1 0.93 5.27 .2018 1 0.93 5.33 .2019 1 0.93 5.50 .2020 1 0.93 5.48 .2021 1 0.93 5.18 .2022 1 0.93 5.52 .2023 1 0.93 5.18 .2024 1 0.93 5.08 .2025 1 0.93 5.25 .2026 1 0.93 5.03 .2027 1 0.93 5.06 .2028 1 0.93 5.26 .2029 1 0.93 5.39 .2030 1 0.93 4.94 .2031 1 0.93 5.10 .2032 1 0.93 4.93 .2033 1 0.93 5.03 .2034 1 0.93 4.85 .2035 1 0.93 5.02 .2036 1 0.93 4.86 .2037 1 0.93 5.00 .2038 1 0.93 4.93 .2039 1 0.93 4.85 .2040 1 0.93 4.88 .2041 1 0.93 4.92 .2042 1 0.93 4.90 .2043 1 0.93 4.84 .2044 1 0.93 4.82 .2045 1 0.93 4.83 .2046 1 0.93 5.10 .2047 1 0.93 5.90 EXTRACT_IMAGE: r2: masked 482 pixels DOSCATTER: r2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r2: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r2: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.15 Step 12 of 2112 0.58 96 0.02 0.14 Step 20 of 2112 0.58 96 0.02 0.14 Step 28 of 2112 0.59 96 0.02 0.14 Step 36 of 2112 0.59 96 0.02 0.14 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.16 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.16 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.13 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.60 96 0.02 0.15 Step 108 of 2112 0.60 96 0.02 0.15 Step 116 of 2112 0.60 96 0.01 0.16 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.14 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.14 Step 164 of 2112 0.61 96 0.02 0.15 Step 172 of 2112 0.61 96 0.02 0.15 Step 180 of 2112 0.61 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.14 Step 196 of 2112 0.61 96 0.02 0.14 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.62 96 0.02 0.14 Step 236 of 2112 0.62 96 0.02 0.15 Step 244 of 2112 0.62 96 0.02 0.14 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.14 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.63 96 0.03 0.16 Step 300 of 2112 0.63 96 0.02 0.16 Step 308 of 2112 0.63 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.14 Step 332 of 2112 0.63 96 0.02 0.16 Step 340 of 2112 0.63 96 0.02 0.16 Step 348 of 2112 0.63 96 0.03 0.15 Step 356 of 2112 0.63 96 0.02 0.14 Step 364 of 2112 0.64 96 0.02 0.13 Step 372 of 2112 0.64 96 0.02 0.14 Step 380 of 2112 0.64 96 0.02 0.16 Step 388 of 2112 0.64 96 0.02 0.14 Step 396 of 2112 0.64 96 0.02 0.16 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.14 Step 420 of 2112 0.64 96 0.02 0.14 Step 428 of 2112 0.65 96 0.03 0.15 Step 436 of 2112 0.65 96 0.02 0.16 Step 444 of 2112 0.65 96 0.02 0.14 Step 452 of 2112 0.65 96 0.02 0.14 Step 460 of 2112 0.65 96 0.02 0.17 Step 468 of 2112 0.65 96 0.02 0.16 Step 476 of 2112 0.65 96 0.02 0.17 Step 484 of 2112 0.65 96 0.02 0.15 Step 492 of 2112 0.66 96 0.02 0.15 Step 500 of 2112 0.66 96 0.02 0.17 Step 508 of 2112 0.66 96 0.02 0.16 Step 516 of 2112 0.66 96 0.02 0.15 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.02 0.14 Step 540 of 2112 0.66 96 0.02 0.14 Step 548 of 2112 0.67 96 0.02 0.15 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.16 Step 572 of 2112 0.67 96 0.02 0.16 Step 580 of 2112 0.67 96 0.02 0.15 Step 588 of 2112 0.67 96 0.02 0.15 Step 596 of 2112 0.67 96 0.02 0.14 Step 604 of 2112 0.67 96 0.02 0.15 Step 612 of 2112 0.68 96 0.02 0.14 Step 620 of 2112 0.68 96 0.02 0.14 Step 628 of 2112 0.68 96 0.02 0.15 Step 636 of 2112 0.68 96 0.02 0.15 Step 644 of 2112 0.68 128 0.02 0.19 Step 652 of 2112 0.68 128 0.03 0.21 Step 660 of 2112 0.68 128 0.04 0.23 Step 668 of 2112 0.68 128 0.03 0.23 Step 676 of 2112 0.69 128 0.04 0.25 Step 684 of 2112 0.69 128 0.03 0.23 Step 692 of 2112 0.69 128 0.04 0.27 Step 700 of 2112 0.69 128 0.03 0.23 Step 708 of 2112 0.69 128 0.03 0.22 Step 716 of 2112 0.69 128 0.03 0.21 Step 724 of 2112 0.69 128 0.02 0.23 Step 732 of 2112 0.69 128 0.03 0.23 Step 740 of 2112 0.70 128 0.01 0.21 Step 748 of 2112 0.70 128 0.01 0.20 Step 756 of 2112 0.70 128 0.01 0.22 Step 764 of 2112 0.70 128 0.02 0.24 Step 772 of 2112 0.70 128 0.02 0.22 Step 780 of 2112 0.70 128 0.02 0.22 Step 788 of 2112 0.70 128 0.02 0.23 Step 796 of 2112 0.71 128 0.02 0.21 Step 804 of 2112 0.71 128 0.03 0.23 Step 812 of 2112 0.71 128 0.02 0.21 Step 820 of 2112 0.71 128 0.03 0.22 Step 828 of 2112 0.71 128 0.02 0.21 Step 836 of 2112 0.71 128 0.04 0.23 Step 844 of 2112 0.71 128 0.02 0.25 Step 852 of 2112 0.71 128 0.02 0.21 Step 860 of 2112 0.72 128 0.02 0.21 Step 868 of 2112 0.72 128 0.03 0.25 Step 876 of 2112 0.72 128 0.03 0.25 Step 884 of 2112 0.72 128 0.02 0.23 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.03 0.23 Step 908 of 2112 0.72 128 0.03 0.22 Step 916 of 2112 0.73 128 0.03 0.27 Step 924 of 2112 0.73 128 0.03 0.27 Step 932 of 2112 0.73 128 0.03 0.26 Step 940 of 2112 0.73 128 0.02 0.24 Step 948 of 2112 0.73 128 0.03 0.22 Step 956 of 2112 0.73 128 0.02 0.21 Step 964 of 2112 0.73 128 0.02 0.21 Step 972 of 2112 0.73 128 0.03 0.23 Step 980 of 2112 0.74 128 0.02 0.21 Step 988 of 2112 0.74 128 0.02 0.21 Step 996 of 2112 0.74 128 0.02 0.22 Step 1004 of 2112 0.74 128 0.03 0.22 Step 1012 of 2112 0.74 128 0.02 0.21 Step 1020 of 2112 0.74 128 0.02 0.23 Step 1028 of 2112 0.74 128 0.02 0.24 Step 1036 of 2112 0.75 128 0.03 0.24 Step 1044 of 2112 0.75 128 0.03 0.23 Step 1052 of 2112 0.75 128 0.03 0.24 Step 1060 of 2112 0.75 128 0.02 0.24 Step 1068 of 2112 0.75 128 0.03 0.23 Step 1076 of 2112 0.75 128 0.02 0.22 Step 1084 of 2112 0.75 128 0.02 0.22 Step 1092 of 2112 0.75 160 0.03 0.34 Step 1100 of 2112 0.76 160 0.03 0.35 Step 1108 of 2112 0.76 160 0.03 0.35 Step 1116 of 2112 0.76 160 0.03 0.33 Step 1124 of 2112 0.76 160 0.03 0.34 Step 1132 of 2112 0.76 160 0.03 0.32 Step 1140 of 2112 0.76 160 0.03 0.36 Step 1148 of 2112 0.76 160 0.03 0.34 Step 1156 of 2112 0.77 160 0.03 0.32 Step 1164 of 2112 0.77 160 0.03 0.35 Step 1172 of 2112 0.77 160 0.03 0.33 Step 1180 of 2112 0.77 160 0.05 0.39 Step 1188 of 2112 0.77 160 0.03 0.33 Step 1196 of 2112 0.77 160 0.03 0.36 Step 1204 of 2112 0.77 160 0.03 0.36 Step 1212 of 2112 0.78 160 0.03 0.33 Step 1220 of 2112 0.78 160 0.03 0.36 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.34 Step 1244 of 2112 0.78 160 0.03 0.32 Step 1252 of 2112 0.78 160 0.03 0.35 Step 1260 of 2112 0.78 160 0.03 0.36 Step 1268 of 2112 0.78 160 0.03 0.37 Step 1276 of 2112 0.79 160 0.03 0.34 Step 1284 of 2112 0.79 160 0.03 0.37 Step 1292 of 2112 0.79 160 0.03 0.34 Step 1300 of 2112 0.79 160 0.03 0.35 Step 1308 of 2112 0.79 160 0.03 0.35 Step 1316 of 2112 0.79 160 0.03 0.37 Step 1324 of 2112 0.79 160 0.03 0.35 Step 1332 of 2112 0.80 160 0.03 0.38 Step 1340 of 2112 0.80 160 0.04 0.38 Step 1348 of 2112 0.80 160 0.04 0.34 Step 1356 of 2112 0.80 160 0.03 0.36 Step 1364 of 2112 0.80 160 0.03 0.34 Step 1372 of 2112 0.80 160 0.03 0.32 Step 1380 of 2112 0.80 160 0.03 0.36 Step 1388 of 2112 0.81 160 0.03 0.33 Step 1396 of 2112 0.81 160 0.03 0.33 Step 1404 of 2112 0.81 160 0.03 0.33 Step 1412 of 2112 0.81 160 0.03 0.34 Step 1420 of 2112 0.81 160 0.03 0.35 Step 1428 of 2112 0.81 160 0.03 0.39 Step 1436 of 2112 0.81 160 0.03 0.36 Step 1444 of 2112 0.82 160 0.03 0.33 Step 1452 of 2112 0.82 192 0.03 0.37 Step 1460 of 2112 0.82 192 0.04 0.39 Step 1468 of 2112 0.82 192 0.04 0.37 Step 1476 of 2112 0.82 192 0.04 0.40 Step 1484 of 2112 0.82 192 0.04 0.40 Step 1492 of 2112 0.82 192 0.05 0.41 Step 1500 of 2112 0.82 192 0.04 0.39 Step 1508 of 2112 0.83 192 0.04 0.39 Step 1516 of 2112 0.83 192 0.04 0.39 Step 1524 of 2112 0.83 192 0.03 0.37 Step 1532 of 2112 0.83 192 0.03 0.38 Step 1540 of 2112 0.83 192 0.04 0.37 Step 1548 of 2112 0.83 192 0.04 0.40 Step 1556 of 2112 0.83 192 0.03 0.41 Step 1564 of 2112 0.84 192 0.04 0.41 Step 1572 of 2112 0.84 192 0.04 0.40 Step 1580 of 2112 0.84 192 0.03 0.40 Step 1588 of 2112 0.84 192 0.04 0.39 Step 1596 of 2112 0.84 192 0.04 0.40 Step 1604 of 2112 0.84 192 0.02 0.40 Step 1612 of 2112 0.84 192 0.04 0.44 Step 1620 of 2112 0.85 192 0.03 0.39 Step 1628 of 2112 0.85 192 0.04 0.42 Step 1636 of 2112 0.85 192 0.04 0.40 Step 1644 of 2112 0.85 192 0.04 0.37 Step 1652 of 2112 0.85 192 0.04 0.39 Step 1660 of 2112 0.85 192 0.04 0.39 Step 1668 of 2112 0.85 192 0.03 0.38 Step 1676 of 2112 0.86 192 0.03 0.38 Step 1684 of 2112 0.86 192 0.04 0.40 Step 1692 of 2112 0.86 192 0.04 0.39 Step 1700 of 2112 0.86 192 0.04 0.39 Step 1708 of 2112 0.86 192 0.04 0.40 Step 1716 of 2112 0.86 192 0.04 0.41 Step 1724 of 2112 0.86 192 0.04 0.38 Step 1732 of 2112 0.87 192 0.04 0.42 Step 1740 of 2112 0.87 192 0.04 0.43 Step 1748 of 2112 0.87 224 0.05 0.54 Step 1756 of 2112 0.87 224 0.05 0.52 Step 1764 of 2112 0.87 224 0.04 0.49 Step 1772 of 2112 0.87 224 0.05 0.51 Step 1780 of 2112 0.87 224 0.04 0.51 Step 1788 of 2112 0.88 224 0.05 0.50 Step 1796 of 2112 0.88 224 0.04 0.49 Step 1804 of 2112 0.88 224 0.04 0.50 Step 1812 of 2112 0.88 224 0.04 0.51 Step 1820 of 2112 0.88 224 0.04 0.49 Step 1828 of 2112 0.88 224 0.03 0.51 Step 1836 of 2112 0.88 224 0.03 0.49 Step 1844 of 2112 0.89 224 0.04 0.52 Step 1852 of 2112 0.89 224 0.05 0.52 Step 1860 of 2112 0.89 224 0.04 0.51 Step 1868 of 2112 0.89 224 0.04 0.50 Step 1876 of 2112 0.89 224 0.04 0.52 Step 1884 of 2112 0.89 224 0.04 0.54 Step 1892 of 2112 0.89 224 0.05 0.51 Step 1900 of 2112 0.90 224 0.06 0.52 Step 1908 of 2112 0.90 224 0.05 0.52 Step 1916 of 2112 0.90 224 0.05 0.50 Step 1924 of 2112 0.90 224 0.04 0.49 Step 1932 of 2112 0.90 224 0.04 0.52 Step 1940 of 2112 0.90 224 0.05 0.49 Step 1948 of 2112 0.90 224 0.04 0.49 Step 1956 of 2112 0.91 224 0.04 0.49 Step 1964 of 2112 0.91 224 0.05 0.51 Step 1972 of 2112 0.91 224 0.04 0.52 Step 1980 of 2112 0.91 224 0.04 0.50 Step 1988 of 2112 0.91 224 0.04 0.49 Step 1996 of 2112 0.91 256 0.06 0.52 Step 2004 of 2112 0.91 256 0.05 0.54 Step 2012 of 2112 0.92 256 0.05 0.54 Step 2020 of 2112 0.92 256 0.05 0.53 Step 2028 of 2112 0.92 256 0.05 0.49 Step 2036 of 2112 0.92 256 0.05 0.55 Step 2044 of 2112 0.92 256 0.06 0.55 Step 2052 of 2112 0.92 256 0.05 0.50 Step 2060 of 2112 0.92 256 0.05 0.52 Step 2068 of 2112 0.93 256 0.03 0.50 Step 2076 of 2112 0.93 256 0.03 0.50 Step 2084 of 2112 0.93 256 0.03 0.50 Step 2092 of 2112 0.93 256 0.03 0.51 Step 2100 of 2112 0.93 256 0.03 0.52 Step 2108 of 2112 0.93 256 0.05 0.55 ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 3.11 .0004 1 0.92 2.90 .0005 1 0.92 2.89 .0006 1 0.92 3.15 .0007 1 0.92 2.93 .0008 1 0.92 2.98 .0009 1 0.92 2.85 .0010 1 0.92 3.07 .0011 1 0.92 3.01 .0012 1 0.92 3.05 .0013 1 0.92 3.19 .0014 1 0.92 3.06 .0015 1 0.92 3.00 .0016 1 0.92 3.07 .0017 1 0.92 3.21 .0018 1 0.92 3.02 .0019 1 0.92 3.21 .0020 1 0.92 3.35 .0021 1 0.92 3.11 .0022 1 0.92 3.25 .0023 1 0.92 3.16 .0024 1 0.92 3.28 .0025 1 0.92 3.20 .0026 1 0.92 3.01 .0027 2 0.92 2.82 .0028 1 0.92 3.22 .0029 2 0.92 2.86 .0030 2 0.92 2.77 .0031 2 0.92 2.92 .0032 2 0.92 2.90 .0033 2 0.92 3.14 .0034 3 0.92 2.86 .0035 2 0.92 2.84 .0036 2 0.92 2.97 .0037 2 0.92 2.91 .0038 2 0.92 2.97 .0039 2 0.92 2.99 .0040 2 0.92 2.92 .0041 2 0.92 3.08 .0042 2 0.92 2.99 .0043 2 0.92 2.91 .0044 2 0.92 3.02 .0045 2 0.92 3.00 .0046 2 0.92 2.95 .0047 2 0.92 2.94 .0048 2 0.92 3.04 .0049 2 0.92 2.92 .0050 2 0.92 2.90 .0051 2 0.92 2.83 .0052 2 0.92 2.95 .0053 2 0.92 3.03 .0054 2 0.92 2.95 .0055 2 0.92 2.96 .0056 2 0.92 3.01 .0057 2 0.92 2.86 .0058 2 0.92 2.86 .0059 2 0.92 3.02 .0060 2 0.92 2.92 .0061 2 0.92 3.00 .0062 2 0.92 2.94 .0063 2 0.92 2.97 .0064 2 0.92 2.98 .0065 3 0.92 3.36 .0066 2 0.92 2.95 .0067 2 0.92 3.09 .0068 2 0.92 2.93 .0069 2 0.92 2.97 .0070 2 0.92 3.10 .0071 2 0.92 3.15 .0072 3 0.92 3.40 .0073 2 0.92 2.91 .0074 2 0.92 2.86 .0075 2 0.92 3.04 .0076 2 0.92 2.86 .0077 2 0.92 2.86 .0078 2 0.92 2.92 .0079 2 0.92 3.01 .0080 2 0.92 2.95 .0081 2 0.92 2.88 .0082 2 0.92 3.04 .0083 2 0.92 2.90 .0084 2 0.92 3.01 .0085 2 0.92 3.00 .0086 2 0.92 3.04 .0087 2 0.92 2.99 .0088 2 0.92 3.01 .0089 2 0.92 3.15 .0090 2 0.92 3.06 .0091 2 0.92 2.97 .0092 2 0.92 3.09 .0093 2 0.92 3.10 .0094 2 0.92 2.92 .0095 2 0.92 3.16 .0096 2 0.92 3.21 .0097 2 0.92 3.13 .0098 2 0.92 3.16 .0099 2 0.92 3.24 .0100 2 0.92 3.14 .0101 2 0.92 3.33 .0102 2 0.92 3.37 .0103 2 0.92 3.22 .0104 2 0.92 3.31 .0105 2 0.92 3.37 .0106 2 0.92 3.24 .0107 2 0.92 2.96 .0108 2 0.92 2.87 .0109 2 0.92 3.17 .0110 2 0.92 3.03 .0111 2 0.92 2.98 .0112 2 0.92 3.00 .0113 2 0.92 3.03 .0114 2 0.92 3.06 .0115 2 0.92 3.11 .0116 2 0.92 3.15 .0117 2 0.92 3.16 .0118 2 0.92 3.30 .0119 2 0.92 3.07 .0120 2 0.92 3.09 .0121 2 0.92 3.11 .0122 2 0.92 3.11 .0123 2 0.92 3.14 .0124 2 0.92 3.29 .0125 2 0.92 3.30 .0126 2 0.92 3.17 .0127 2 0.92 3.28 .0128 2 0.92 3.27 .0129 2 0.92 3.40 .0130 2 0.92 3.24 .0131 2 0.92 3.32 .0132 2 0.92 3.35 .0133 2 0.92 3.61 .0134 2 0.92 3.55 .0135 2 0.92 3.53 .0136 2 0.92 3.46 .0137 2 0.92 3.55 .0138 2 0.92 3.60 .0139 2 0.92 3.37 .0140 2 0.92 3.47 .0141 2 0.92 3.49 .0142 2 0.92 3.55 .0143 2 0.92 3.64 .0144 2 0.92 3.59 .0145 2 0.92 3.61 .0146 2 0.92 3.52 .0147 2 0.92 3.56 .0148 2 0.92 3.97 .0149 2 0.92 3.58 .0150 2 0.92 3.76 .0151 2 0.92 3.85 .0152 2 0.92 3.78 .0153 2 0.92 3.83 .0154 2 0.92 3.86 .0155 3 0.92 3.97 .0156 2 0.92 3.86 .0157 2 0.92 4.00 .0158 2 0.92 3.92 .0159 2 0.92 3.89 .0160 2 0.92 4.00 .0161 2 0.92 4.00 .0162 2 0.92 4.30 .0163 2 0.92 4.14 .0164 2 0.92 4.13 .0165 2 0.92 4.23 .0166 2 0.92 4.13 .0167 2 0.92 4.20 .0168 2 0.92 4.18 .0169 2 0.92 4.19 .0170 2 0.92 4.36 .0171 2 0.92 4.28 .0172 2 0.92 4.18 .0173 2 0.92 4.31 .0174 2 0.92 4.57 .0175 2 0.92 4.40 .0176 2 0.92 4.57 .0177 2 0.92 4.42 .0178 2 0.92 4.37 .0179 2 0.92 4.46 .0180 2 0.92 4.47 .0181 2 0.92 4.56 .0182 2 0.92 4.39 .0183 2 0.92 4.43 .0184 2 0.92 4.49 .0185 2 0.92 4.53 .0186 2 0.92 4.50 .0187 2 0.92 4.36 .0188 2 0.92 4.50 .0189 2 0.92 4.34 .0190 2 0.92 4.62 .0191 2 0.92 4.40 .0192 2 0.92 4.44 .0193 2 0.92 4.27 .0194 2 0.92 4.15 .0195 2 0.92 4.33 .0196 2 0.92 4.19 .0197 2 0.92 4.26 .0198 2 0.92 4.44 .0199 2 0.92 4.10 .0200 2 0.92 4.23 .0201 2 0.92 4.12 .0202 2 0.92 4.14 .0203 2 0.92 4.17 .0204 2 0.92 4.14 .0205 2 0.92 4.26 .0206 2 0.92 4.12 .0207 2 0.92 4.23 .0208 2 0.92 3.82 .0209 1 0.92 4.59 .0210 1 0.92 4.36 .0211 1 0.92 4.49 .0212 1 0.92 4.47 .0213 1 0.92 5.09 .0214 1 0.92 4.65 .0215 1 0.92 4.35 .0216 1 0.92 4.37 .0217 1 0.92 4.53 .0218 1 0.92 4.39 .0219 1 0.92 4.25 .0220 1 0.92 4.32 .0221 1 0.92 4.43 .0222 1 0.92 4.13 .0223 1 0.92 4.22 .0224 1 0.92 4.33 .0225 1 0.92 4.18 .0226 1 0.92 4.29 .0227 1 0.92 4.16 .0228 1 0.92 4.25 .0229 1 0.92 4.07 .0230 1 0.92 4.13 .0231 1 0.92 4.22 .0232 1 0.92 4.38 .0233 1 0.92 3.99 .0234 1 0.92 4.06 .0235 1 0.92 4.19 .0236 1 0.92 4.13 .0237 1 0.92 4.28 .0238 1 0.92 4.59 .0239 1 0.92 4.05 .0240 1 0.92 4.04 .0241 1 0.92 4.17 .0242 1 0.92 4.16 .0243 1 0.92 4.20 .0244 1 0.92 4.15 .0245 1 0.92 4.17 .0246 1 0.92 4.26 .0247 1 0.92 4.23 .0248 1 0.92 4.77 .0249 1 0.92 4.28 .0250 1 0.92 4.23 .0251 1 0.92 4.24 .0252 1 0.92 4.18 .0253 1 0.92 4.45 .0254 1 0.92 4.36 .0255 1 0.92 4.27 .0256 1 0.92 4.45 .0257 1 0.92 4.48 .0258 1 0.92 4.40 .0259 1 0.92 4.32 .0260 1 0.92 4.61 .0261 1 0.92 4.47 .0262 1 0.92 4.50 .0263 1 0.92 4.47 .0264 1 0.92 4.37 .0265 1 0.92 4.76 .0266 1 0.92 4.58 .0267 1 0.92 5.05 .0268 2 0.92 4.55 .0269 2 0.92 4.71 .0270 1 0.92 4.80 .0271 1 0.92 4.70 .0272 1 0.92 4.62 .0273 1 0.92 4.64 .0274 1 0.92 4.86 .0275 1 0.92 5.59 .0276 1 0.92 4.95 .0277 1 0.92 4.76 .0278 1 0.92 4.77 .0279 1 0.92 4.76 .0280 1 0.92 4.72 .0281 1 0.92 4.82 .0282 1 0.92 4.69 .0283 1 0.92 4.97 .0284 1 0.92 5.01 .0285 1 0.92 4.91 .0286 1 0.92 4.96 .0287 1 0.92 4.90 .0288 1 0.92 4.92 .0289 2 0.92 4.96 .0290 1 0.92 4.94 .0291 1 0.92 5.12 .0292 1 0.92 4.78 .0293 1 0.92 4.97 .0294 1 0.92 4.79 .0295 1 0.92 4.90 .0296 1 0.92 4.83 .0297 1 0.92 4.97 .0298 1 0.92 4.95 .0299 1 0.92 4.96 .0300 1 0.92 4.96 .0301 1 0.92 5.05 .0302 1 0.92 4.93 .0303 2 0.92 4.46 .0304 2 0.92 4.41 .0305 2 0.92 4.66 .0306 2 0.92 4.47 .0307 2 0.92 4.42 .0308 2 0.92 4.28 .0309 2 0.92 4.33 .0310 2 0.92 4.38 .0311 2 0.92 4.42 .0312 2 0.92 4.32 .0313 2 0.92 4.44 .0314 2 0.92 4.38 .0315 2 0.92 4.46 .0316 2 0.92 4.36 .0317 2 0.92 4.26 .0318 2 0.92 4.42 .0319 2 0.92 4.36 .0320 2 0.92 4.38 .0321 2 0.92 4.15 .0322 2 0.92 4.15 .0323 2 0.92 4.10 .0324 2 0.92 4.20 .0325 2 0.92 4.26 .0326 2 0.92 4.01 .0327 2 0.92 4.25 .0328 2 0.92 3.95 .0329 2 0.92 4.12 .0330 2 0.92 4.16 .0331 2 0.92 3.92 .0332 2 0.92 4.15 .0333 2 0.92 4.00 .0334 2 0.92 3.78 .0335 2 0.92 4.02 .0336 2 0.92 4.03 .0337 2 0.92 3.90 .0338 2 0.92 4.08 .0339 2 0.92 3.91 .0340 2 0.92 3.92 .0341 2 0.92 4.07 .0342 2 0.92 4.07 .0343 2 0.92 4.00 .0344 2 0.92 3.98 .0345 2 0.92 3.87 .0346 2 0.92 3.83 .0347 2 0.92 4.05 .0348 2 0.92 3.98 .0349 2 0.92 3.85 .0350 2 0.92 3.81 .0351 2 0.92 3.95 .0352 2 0.92 3.97 .0353 2 0.92 3.81 .0354 2 0.92 3.88 .0355 2 0.92 3.97 .0356 2 0.92 3.76 .0357 2 0.92 3.86 .0358 2 0.92 3.85 .0359 2 0.92 3.70 .0360 2 0.92 3.59 .0361 2 0.92 3.73 .0362 2 0.92 3.80 .0363 2 0.92 3.58 .0364 2 0.92 3.87 .0365 2 0.92 3.75 .0366 2 0.92 3.79 .0367 2 0.92 3.63 .0368 2 0.92 3.51 .0369 2 0.92 3.64 .0370 2 0.92 3.76 .0371 2 0.92 4.18 .0372 2 0.92 3.74 .0373 2 0.92 3.69 .0374 2 0.92 3.60 .0375 2 0.92 3.55 .0376 2 0.92 3.64 .0377 2 0.92 3.62 .0378 2 0.92 3.69 .0379 2 0.92 3.69 .0380 2 0.92 3.61 .0381 2 0.92 3.71 .0382 2 0.92 3.62 .0383 2 0.92 3.65 .0384 2 0.92 3.68 .0385 2 0.92 3.60 .0386 2 0.92 3.61 .0387 2 0.92 3.62 .0388 2 0.92 3.72 .0389 2 0.92 3.71 .0390 2 0.92 3.72 .0391 2 0.92 3.60 .0392 2 0.92 3.79 .0393 2 0.92 3.81 .0394 2 0.92 3.61 .0395 2 0.92 3.56 .0396 2 0.92 3.90 .0397 2 0.92 3.99 .0398 2 0.92 3.78 .0399 2 0.92 3.56 .0400 2 0.92 3.91 .0401 2 0.92 3.59 .0402 2 0.92 4.04 .0403 2 0.92 3.68 .0404 2 0.92 3.93 .0405 2 0.92 3.40 .0406 2 0.92 3.48 .0407 2 0.92 3.24 .0408 2 0.92 3.39 .0409 2 0.92 3.21 .0410 2 0.92 3.35 .0411 2 0.92 3.44 .0412 2 0.92 3.44 .0413 2 0.92 3.32 .0414 2 0.92 3.38 .0415 2 0.92 3.17 .0416 2 0.92 3.27 .0417 2 0.92 3.40 .0418 2 0.92 3.22 .0419 2 0.92 3.23 .0420 2 0.92 3.27 .0421 2 0.92 3.35 .0422 2 0.92 3.09 .0423 2 0.92 3.24 .0424 2 0.92 3.31 .0425 2 0.92 3.36 .0426 2 0.92 3.16 .0427 2 0.92 3.30 .0428 2 0.92 3.25 .0429 2 0.92 3.00 .0430 2 0.92 3.32 .0431 2 0.92 3.25 .0432 2 0.92 3.08 .0433 2 0.92 3.34 .0434 2 0.92 3.35 .0435 2 0.92 3.08 .0436 2 0.92 3.30 .0437 2 0.92 3.25 .0438 2 0.92 3.19 .0439 2 0.92 3.26 .0440 2 0.92 3.18 .0441 2 0.92 3.23 .0442 2 0.92 3.18 .0443 2 0.92 3.26 .0444 2 0.92 3.11 .0445 2 0.92 3.06 .0446 2 0.92 3.18 .0447 2 0.92 2.99 .0448 2 0.92 3.12 .0449 2 0.92 3.14 .0450 2 0.92 3.13 .0451 2 0.92 3.24 .0452 2 0.92 3.12 .0453 2 0.92 3.24 .0454 2 0.92 3.19 .0455 2 0.92 3.10 .0456 2 0.92 3.14 .0457 2 0.92 3.18 .0458 2 0.92 3.08 .0459 2 0.92 3.13 .0460 2 0.92 2.99 .0461 2 0.92 3.09 .0462 2 0.92 3.03 .0463 2 0.92 2.97 .0464 2 0.92 3.10 .0465 2 0.92 3.11 .0466 2 0.92 3.07 .0467 2 0.91 3.01 .0468 2 0.91 3.08 .0469 2 0.91 3.19 .0470 2 0.91 3.21 .0471 2 0.91 3.38 .0472 2 0.91 3.21 .0473 2 0.91 2.94 .0474 2 0.91 3.12 .0475 2 0.91 3.12 .0476 2 0.91 3.03 .0477 2 0.91 3.16 .0478 2 0.91 3.34 .0479 2 0.91 3.19 .0480 2 0.91 3.13 .0481 2 0.91 3.24 .0482 2 0.91 3.30 .0483 2 0.91 3.35 .0484 2 0.91 3.23 .0485 2 0.91 3.21 .0486 2 0.91 3.27 .0487 2 0.91 3.31 .0488 2 0.91 3.18 .0489 2 0.91 3.19 .0490 2 0.91 3.31 .0491 2 0.91 3.23 .0492 2 0.91 3.23 .0493 2 0.91 3.64 .0494 2 0.91 3.17 .0495 2 0.91 3.32 .0496 2 0.91 3.41 .0497 2 0.91 3.43 .0498 2 0.91 3.21 .0499 2 0.91 3.27 .0500 2 0.91 3.45 .0501 2 0.91 3.87 .0502 3 0.91 3.42 .0503 2 0.91 3.52 .0504 2 0.91 3.83 .0505 2 0.91 3.44 .0506 2 0.91 3.57 .0507 2 0.91 3.55 .0508 2 0.91 3.69 .0509 2 0.91 3.52 .0510 2 0.91 3.42 .0511 2 0.91 3.40 .0512 2 0.91 3.59 .0513 2 0.91 3.39 .0514 2 0.91 3.70 .0515 2 0.91 3.32 .0516 2 0.91 3.80 .0517 2 0.91 3.60 .0518 2 0.91 3.76 .0519 2 0.91 3.63 .0520 2 0.91 3.71 .0521 2 0.91 3.66 .0522 2 0.91 3.70 .0523 2 0.91 3.76 .0524 2 0.91 3.63 .0525 2 0.91 3.72 .0526 2 0.91 3.65 .0527 2 0.91 3.73 .0528 2 0.91 3.83 .0529 2 0.91 3.75 .0530 2 0.91 3.82 .0531 2 0.91 3.88 .0532 2 0.91 3.65 .0533 2 0.91 3.83 .0534 2 0.91 3.87 .0535 2 0.91 3.90 .0536 2 0.91 3.84 .0537 2 0.91 3.90 .0538 2 0.91 3.84 .0539 2 0.91 3.85 .0540 1 0.91 4.34 .0541 1 0.91 4.43 .0542 1 0.91 4.39 .0543 1 0.91 4.49 .0544 2 0.91 5.05 .0545 1 0.91 4.37 .0546 1 0.91 4.27 .0547 1 0.91 4.23 .0548 1 0.91 4.28 .0549 1 0.91 4.09 .0550 1 0.91 4.28 .0551 1 0.91 4.23 .0552 1 0.91 4.39 .0553 1 0.91 4.43 .0554 1 0.91 4.35 .0555 1 0.91 4.22 .0556 1 0.91 4.41 .0557 1 0.91 4.43 .0558 1 0.91 4.30 .0559 1 0.91 4.20 .0560 1 0.91 4.24 .0561 1 0.91 4.24 .0562 1 0.91 4.30 .0563 1 0.91 4.56 .0564 1 0.91 4.39 .0565 1 0.91 4.37 .0566 1 0.91 4.27 .0567 1 0.91 4.46 .0568 1 0.91 4.52 .0569 1 0.91 4.44 .0570 1 0.91 4.45 .0571 1 0.91 4.55 .0572 1 0.91 4.50 .0573 1 0.91 4.49 .0574 1 0.91 4.43 .0575 1 0.91 4.44 .0576 1 0.91 4.46 .0577 1 0.91 4.43 .0578 1 0.91 4.32 .0579 1 0.91 4.50 .0580 1 0.91 4.50 .0581 1 0.91 4.44 .0582 1 0.91 4.54 .0583 1 0.91 4.53 .0584 1 0.91 5.23 .0585 2 0.91 4.44 .0586 1 0.91 4.65 .0587 1 0.91 4.50 .0588 1 0.91 4.48 .0589 1 0.91 4.65 .0590 1 0.91 4.55 .0591 1 0.91 4.71 .0592 1 0.91 4.41 .0593 1 0.91 4.56 .0594 1 0.91 4.40 .0595 1 0.91 4.57 .0596 1 0.91 4.72 .0597 1 0.91 4.74 .0598 1 0.91 4.60 .0599 1 0.91 4.74 .0600 1 0.91 4.82 .0601 1 0.91 4.65 .0602 1 0.91 4.80 .0603 1 0.91 4.90 .0604 1 0.91 4.97 .0605 1 0.91 4.86 .0606 1 0.91 4.96 .0607 1 0.91 4.96 .0608 1 0.91 4.88 .0609 1 0.91 4.93 .0610 1 0.91 5.24 .0611 1 0.91 4.84 .0612 1 0.91 4.96 .0613 1 0.91 5.06 .0614 1 0.91 5.05 .0615 1 0.91 4.88 .0616 1 0.91 4.93 .0617 1 0.91 5.25 .0618 1 0.91 5.05 .0619 1 0.91 5.23 .0620 1 0.91 5.32 .0621 1 0.91 5.19 .0622 1 0.91 5.16 .0623 1 0.91 5.03 .0624 1 0.91 5.23 .0625 1 0.91 5.27 .0626 1 0.91 5.20 .0627 1 0.91 5.26 .0628 1 0.91 5.36 .0629 1 0.91 5.18 .0630 1 0.91 5.27 .0631 1 0.91 5.31 .0632 1 0.91 5.07 .0633 1 0.91 5.21 .0634 1 0.91 5.26 .0635 1 0.91 5.17 .0636 1 0.91 5.38 .0637 1 0.91 5.40 .0638 1 0.91 5.47 .0639 1 0.91 5.26 .0640 1 0.91 5.48 .0641 1 0.91 5.55 .0642 1 0.91 5.56 .0643 1 0.91 5.51 .0644 1 0.91 5.54 .0645 2 0.91 5.62 .0646 1 0.91 5.60 .0647 1 0.91 5.78 .0648 1 0.91 5.54 .0649 1 0.91 5.62 .0650 1 0.91 5.94 .0651 1 0.91 5.89 .0652 1 0.91 5.96 .0653 1 0.91 5.74 .0654 1 0.91 6.61 .0655 1 0.91 6.04 .0656 1 0.91 5.70 .0657 1 0.91 5.71 .0658 1 0.91 5.90 .0659 1 0.91 6.05 .0660 1 0.91 8.73 .0661 1 0.91 7.70 .0662 1 0.91 6.17 .0663 1 0.91 5.86 .0664 1 0.91 6.11 .0665 1 0.91 6.04 .0666 1 0.91 6.22 .0667 1 0.91 5.96 .0668 1 0.90 6.23 .0669 1 0.90 6.42 .0670 1 0.90 5.95 .0671 1 0.90 6.12 .0672 1 0.90 6.10 .0673 1 0.90 6.38 .0674 1 0.90 6.23 .0675 1 0.90 6.28 .0676 1 0.90 6.27 .0677 1 0.90 6.17 .0678 1 0.90 6.31 .0679 2 0.90 6.57 .0680 1 0.90 6.71 .0681 1 0.90 6.42 .0682 1 0.90 6.52 .0683 1 0.90 6.48 .0684 1 0.90 6.56 .0685 1 0.90 6.37 .0686 1 0.90 6.30 .0687 1 0.90 6.60 .0688 1 0.90 6.72 .0689 1 0.90 6.87 .0690 1 0.90 6.57 .0691 1 0.90 6.69 .0692 1 0.90 6.65 .0693 1 0.90 6.63 .0694 1 0.90 6.69 .0695 1 0.90 6.67 .0696 1 0.90 6.62 .0697 1 0.90 6.85 .0698 1 0.90 6.83 .0699 1 0.90 7.50 .0700 1 0.90 6.61 .0701 1 0.90 6.74 .0702 1 0.90 6.87 .0703 1 0.90 7.36 .0704 2 0.90 7.50 .0705 1 0.90 6.95 .0706 1 0.90 6.98 .0707 1 0.90 7.03 .0708 1 0.90 6.91 .0709 1 0.90 6.83 .0710 1 0.90 7.10 .0711 1 0.90 6.92 .0712 1 0.90 6.76 .0713 1 0.90 6.99 .0714 1 0.90 6.85 .0715 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4.30 .1992 1 0.93 4.25 .1993 1 0.93 4.18 .1994 1 0.93 4.13 .1995 1 0.93 4.11 .1996 1 0.93 3.82 .1997 1 0.93 3.98 .1998 1 0.93 3.96 .1999 1 0.93 4.07 .2000 1 0.93 4.17 .2001 1 0.93 4.02 .2002 1 0.93 4.11 .2003 1 0.93 4.01 .2004 1 0.93 4.15 .2005 1 0.93 4.07 .2006 1 0.93 4.02 .2007 1 0.93 4.27 .2008 1 0.93 4.34 .2009 1 0.93 4.53 .2010 3 0.93 4.34 .2011 1 0.93 4.23 .2012 1 0.93 4.28 .2013 1 0.93 4.39 .2014 1 0.93 4.36 .2015 1 0.93 4.28 .2016 1 0.93 4.82 .2017 1 0.93 4.22 .2018 1 0.93 4.26 .2019 1 0.93 4.34 .2020 1 0.93 4.33 .2021 1 0.93 4.12 .2022 1 0.93 4.35 .2023 1 0.93 4.09 .2024 1 0.93 4.02 .2025 1 0.93 4.21 .2026 1 0.93 3.95 .2027 1 0.93 4.05 .2028 1 0.93 4.14 .2029 1 0.93 4.33 .2030 1 0.93 3.97 .2031 1 0.93 4.06 .2032 1 0.93 3.95 .2033 1 0.93 4.07 .2034 1 0.93 3.88 .2035 1 0.93 4.04 .2036 1 0.93 3.92 .2037 1 0.93 3.97 .2038 1 0.93 4.01 .2039 1 0.93 3.93 .2040 1 0.93 4.00 .2041 1 0.93 3.94 .2042 1 0.93 3.97 .2043 1 0.93 4.04 .2044 1 0.93 3.99 .2045 1 0.93 4.05 .2046 1 0.93 4.33 .2047 3 0.93 4.06 EXTRACT_IMAGE: r2: masked 506 pixels SPCALIB: r2: First extraction chi^2 0.00000 10.8097 SPCALIB: r2: Second extraction chi^2 0.00000 9.99069 SUPERFLAT: r2: Creating superflat from 305 fibers highest breakpoint does not cover highest x value, changing .0000highest breakpoint does not cover highest x value, changing .0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r2: Number of fiberflat points LE 0 = 12966 SPCALIB: r2: Create fiberflats for flat # 2 of 2 SPCALIB: r2: Flat sdR-r2-00034676.fit paired with arc sdR-r2-00034677.fit SPCALIB: r2: Reading flat sdR-r2-00034676.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.54652 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 468.525 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 447. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.75895 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1319.83 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1299. DN is 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 2 0.92 2.98 .0004 1 0.92 3.16 .0005 1 0.92 3.12 .0006 1 0.92 3.00 .0007 1 0.92 2.98 .0008 1 0.92 3.06 .0009 1 0.92 3.16 .0010 1 0.92 2.96 .0011 1 0.92 3.04 .0012 1 0.92 3.14 .0013 1 0.92 3.19 .0014 1 0.92 3.16 .0015 1 0.92 3.02 .0016 1 0.92 3.16 .0017 1 0.92 3.23 .0018 1 0.92 3.01 .0019 1 0.92 3.24 .0020 1 0.92 3.25 .0021 1 0.92 3.17 .0022 1 0.92 3.28 .0023 2 0.92 3.32 .0024 1 0.92 3.16 .0025 1 0.92 3.33 .0026 1 0.92 3.24 .0027 2 0.92 2.93 .0028 2 0.92 2.86 .0029 2 0.92 2.92 .0030 2 0.92 2.93 .0031 2 0.92 2.89 .0032 2 0.92 2.91 .0033 2 0.92 2.94 .0034 2 0.92 3.19 .0035 2 0.92 2.83 .0036 2 0.92 3.00 .0037 2 0.92 3.11 .0038 2 0.92 3.03 .0039 2 0.92 3.02 .0040 2 0.92 3.04 .0041 2 0.92 3.02 .0042 2 0.92 3.11 .0043 2 0.92 2.92 .0044 2 0.92 2.97 .0045 2 0.92 3.23 .0046 2 0.92 2.91 .0047 2 0.92 3.05 .0048 2 0.92 3.00 .0049 2 0.92 3.01 .0050 2 0.92 3.03 .0051 2 0.92 3.02 .0052 2 0.92 2.87 .0053 2 0.92 3.25 .0054 3 0.92 3.19 .0055 2 0.92 3.63 .0056 2 0.92 2.85 .0057 2 0.92 3.17 .0058 2 0.92 3.10 .0059 2 0.92 3.26 .0060 2 0.92 3.24 .0061 2 0.92 3.13 .0062 2 0.92 3.04 .0063 2 0.92 3.04 .0064 2 0.92 2.91 .0065 2 0.92 3.03 .0066 2 0.92 3.08 .0067 2 0.92 3.00 .0068 2 0.92 3.10 .0069 2 0.92 2.91 .0070 2 0.92 3.11 .0071 2 0.92 3.15 .0072 2 0.92 3.15 .0073 2 0.92 3.02 .0074 2 0.92 3.09 .0075 2 0.92 3.23 .0076 2 0.92 3.10 .0077 2 0.92 3.05 .0078 2 0.92 3.13 .0079 2 0.92 3.21 .0080 2 0.92 3.09 .0081 2 0.92 3.11 .0082 2 0.92 3.18 .0083 2 0.92 3.17 .0084 2 0.92 3.04 .0085 2 0.92 3.19 .0086 2 0.92 3.18 .0087 2 0.92 3.13 .0088 2 0.92 3.29 .0089 2 0.92 3.10 .0090 2 0.92 3.10 .0091 2 0.92 3.16 .0092 2 0.92 3.25 .0093 2 0.92 3.20 .0094 2 0.92 3.26 .0095 2 0.92 3.31 .0096 2 0.92 3.49 .0097 2 0.92 3.28 .0098 2 0.92 3.37 .0099 2 0.92 3.41 .0100 2 0.92 3.46 .0101 2 0.92 3.36 .0102 2 0.92 3.53 .0103 2 0.92 3.50 .0104 2 0.92 3.13 .0105 2 0.92 3.47 .0106 2 0.92 3.21 .0107 2 0.92 3.38 .0108 2 0.92 3.24 .0109 2 0.92 3.21 .0110 2 0.92 3.10 .0111 2 0.92 3.29 .0112 2 0.92 3.55 .0113 2 0.92 3.67 .0114 2 0.92 3.13 .0115 2 0.92 3.11 .0116 2 0.92 3.24 .0117 2 0.92 3.21 .0118 2 0.92 3.25 .0119 2 0.92 3.05 .0120 2 0.92 3.19 .0121 2 0.92 3.15 .0122 2 0.92 3.30 .0123 2 0.92 3.18 .0124 2 0.92 3.40 .0125 2 0.92 3.40 .0126 2 0.92 3.30 .0127 2 0.92 3.45 .0128 2 0.92 3.43 .0129 2 0.92 3.51 .0130 2 0.92 3.52 .0131 2 0.92 3.38 .0132 2 0.92 3.47 .0133 2 0.92 3.73 .0134 2 0.92 3.47 .0135 2 0.92 3.56 .0136 2 0.92 3.43 .0137 2 0.92 3.51 .0138 2 0.92 3.65 .0139 2 0.92 3.56 .0140 2 0.92 3.59 .0141 2 0.92 3.76 .0142 2 0.92 3.64 .0143 2 0.92 3.83 .0144 2 0.92 3.73 .0145 2 0.92 3.66 .0146 2 0.92 3.77 .0147 2 0.92 3.85 .0148 2 0.92 3.75 .0149 2 0.92 3.94 .0150 2 0.92 4.27 .0151 2 0.92 3.87 .0152 2 0.92 4.15 .0153 2 0.92 4.12 .0154 2 0.92 4.00 .0155 2 0.92 4.09 .0156 2 0.92 4.77 .0157 2 0.92 4.02 .0158 2 0.92 4.16 .0159 3 0.92 4.01 .0160 3 0.92 4.03 .0161 2 0.92 4.09 .0162 2 0.92 4.23 .0163 2 0.92 4.10 .0164 2 0.92 4.36 .0165 2 0.92 4.46 .0166 2 0.92 4.41 .0167 2 0.92 4.29 .0168 2 0.92 4.33 .0169 2 0.92 4.32 .0170 2 0.92 4.28 .0171 2 0.92 4.39 .0172 2 0.92 4.29 .0173 2 0.92 4.21 .0174 2 0.92 4.43 .0175 2 0.92 4.32 .0176 2 0.92 4.42 .0177 2 0.92 4.45 .0178 2 0.92 4.31 .0179 2 0.92 4.58 .0180 2 0.92 4.42 .0181 2 0.92 4.42 .0182 2 0.92 4.59 .0183 2 0.92 4.50 .0184 2 0.92 4.50 .0185 2 0.92 4.70 .0186 2 0.92 4.49 .0187 2 0.92 4.45 .0188 2 0.92 4.55 .0189 2 0.92 4.38 .0190 2 0.92 4.60 .0191 2 0.92 4.34 .0192 2 0.92 4.47 .0193 2 0.92 4.52 .0194 2 0.92 4.37 .0195 2 0.92 4.31 .0196 2 0.92 4.56 .0197 2 0.92 4.29 .0198 2 0.92 4.42 .0199 2 0.92 4.23 .0200 2 0.92 4.39 .0201 2 0.92 4.28 .0202 2 0.92 4.24 .0203 2 0.92 4.28 .0204 2 0.92 4.31 .0205 1 0.92 4.78 .0206 1 0.92 4.77 .0207 1 0.92 4.71 .0208 1 0.92 4.57 .0209 1 0.92 4.72 .0210 1 0.92 4.56 .0211 1 0.92 4.57 .0212 1 0.92 4.70 .0213 1 0.92 4.49 .0214 1 0.92 4.39 .0215 1 0.92 4.47 .0216 1 0.92 4.59 .0217 1 0.92 4.50 .0218 1 0.92 4.42 .0219 1 0.92 4.59 .0220 1 0.92 4.20 .0221 1 0.92 4.38 .0222 1 0.92 4.25 .0223 1 0.92 4.29 .0224 1 0.92 4.44 .0225 1 0.92 4.47 .0226 1 0.92 4.18 .0227 1 0.92 4.56 .0228 1 0.92 4.25 .0229 2 0.92 4.21 .0230 1 0.92 4.42 .0231 1 0.92 4.19 .0232 1 0.92 4.37 .0233 1 0.92 4.28 .0234 1 0.92 4.16 .0235 1 0.92 4.22 .0236 1 0.92 4.35 .0237 1 0.92 4.16 .0238 1 0.92 4.18 .0239 1 0.92 4.59 .0240 1 0.92 4.17 .0241 1 0.92 4.27 .0242 1 0.92 4.18 .0243 1 0.92 4.24 .0244 1 0.92 4.27 .0245 1 0.92 4.10 .0246 1 0.92 4.17 .0247 1 0.92 4.55 .0248 1 0.92 4.23 .0249 1 0.92 4.28 .0250 1 0.92 4.33 .0251 1 0.92 4.29 .0252 1 0.92 4.16 .0253 1 0.92 4.50 .0254 1 0.92 4.50 .0255 1 0.92 4.39 .0256 1 0.92 4.57 .0257 1 0.92 4.44 .0258 1 0.92 4.50 .0259 1 0.92 4.45 .0260 1 0.92 4.57 .0261 1 0.92 4.31 .0262 1 0.92 4.41 .0263 1 0.92 4.52 .0264 1 0.92 4.81 .0265 2 0.92 4.94 .0266 1 0.92 4.71 .0267 1 0.92 4.78 .0268 1 0.92 4.61 .0269 1 0.92 4.66 .0270 1 0.92 4.86 .0271 1 0.92 4.59 .0272 1 0.92 5.16 .0273 1 0.92 4.67 .0274 1 0.92 4.70 .0275 1 0.92 4.62 .0276 1 0.92 4.90 .0277 1 0.92 5.03 .0278 1 0.92 4.97 .0279 1 0.92 4.93 .0280 1 0.92 4.89 .0281 1 0.92 4.78 .0282 1 0.92 4.89 .0283 1 0.92 5.08 .0284 1 0.92 4.90 .0285 1 0.92 4.84 .0286 1 0.92 5.07 .0287 1 0.92 5.06 .0288 1 0.92 4.99 .0289 1 0.92 5.04 .0290 1 0.92 4.86 .0291 1 0.92 4.88 .0292 1 0.92 4.97 .0293 1 0.92 5.11 .0294 1 0.92 5.15 .0295 1 0.92 5.01 .0296 1 0.92 5.34 .0297 1 0.92 5.17 .0298 1 0.92 5.12 .0299 1 0.92 5.21 .0300 2 0.92 4.49 .0301 2 0.92 4.57 .0302 1 0.92 5.29 .0303 2 0.92 4.50 .0304 2 0.92 4.51 .0305 2 0.92 4.40 .0306 2 0.92 4.75 .0307 3 0.92 4.66 .0308 2 0.92 4.41 .0309 2 0.92 4.44 .0310 2 0.92 4.47 .0311 2 0.92 4.42 .0312 2 0.92 4.51 .0313 2 0.92 4.54 .0314 2 0.92 4.75 .0315 2 0.92 4.47 .0316 2 0.92 4.47 .0317 2 0.92 4.38 .0318 2 0.92 4.51 .0319 2 0.92 4.46 .0320 2 0.92 4.32 .0321 2 0.92 4.41 .0322 2 0.92 4.39 .0323 2 0.92 4.28 .0324 2 0.92 4.43 .0325 2 0.92 4.39 .0326 2 0.92 4.33 .0327 2 0.92 4.11 .0328 2 0.92 4.31 .0329 2 0.92 4.41 .0330 2 0.92 4.25 .0331 2 0.92 4.25 .0332 2 0.92 4.24 .0333 2 0.92 4.23 .0334 2 0.92 4.05 .0335 2 0.92 4.35 .0336 2 0.92 4.14 .0337 2 0.92 4.32 .0338 2 0.92 4.28 .0339 2 0.92 3.89 .0340 2 0.92 3.93 .0341 2 0.92 4.19 .0342 2 0.92 4.05 .0343 2 0.92 3.97 .0344 2 0.92 4.27 .0345 2 0.92 4.09 .0346 2 0.92 4.16 .0347 2 0.92 4.18 .0348 2 0.92 3.95 .0349 2 0.92 4.17 .0350 2 0.92 3.97 .0351 2 0.92 4.15 .0352 2 0.92 3.87 .0353 2 0.92 3.77 .0354 2 0.92 3.88 .0355 2 0.92 3.93 .0356 2 0.92 3.97 .0357 2 0.92 3.97 .0358 2 0.92 3.89 .0359 2 0.92 3.79 .0360 2 0.92 3.81 .0361 2 0.92 3.93 .0362 2 0.92 3.80 .0363 2 0.92 3.79 .0364 2 0.92 3.93 .0365 2 0.92 4.02 .0366 2 0.92 4.27 .0367 2 0.92 3.71 .0368 2 0.92 3.82 .0369 2 0.92 3.72 .0370 2 0.92 3.73 .0371 2 0.92 3.76 .0372 2 0.92 3.69 .0373 2 0.92 3.84 .0374 2 0.92 3.64 .0375 2 0.92 3.72 .0376 2 0.92 3.82 .0377 2 0.92 3.49 .0378 3 0.92 3.84 .0379 2 0.92 3.86 .0380 2 0.92 3.76 .0381 2 0.92 3.85 .0382 2 0.92 3.78 .0383 2 0.92 3.79 .0384 2 0.92 3.84 .0385 2 0.92 3.84 .0386 2 0.92 3.95 .0387 2 0.92 3.69 .0388 2 0.92 3.85 .0389 2 0.92 3.89 .0390 2 0.92 3.80 .0391 2 0.92 3.89 .0392 2 0.92 3.85 .0393 2 0.92 3.99 .0394 2 0.92 3.79 .0395 2 0.92 3.97 .0396 2 0.92 4.07 .0397 2 0.92 3.92 .0398 3 0.92 3.89 .0399 3 0.92 4.54 .0400 2 0.92 4.60 .0401 3 0.92 3.62 .0402 2 0.92 3.51 .0403 2 0.92 3.57 .0404 2 0.92 3.63 .0405 2 0.92 3.42 .0406 2 0.92 3.46 .0407 2 0.92 3.48 .0408 2 0.92 3.42 .0409 2 0.92 3.42 .0410 2 0.92 3.54 .0411 2 0.92 3.86 .0412 2 0.92 3.65 .0413 2 0.92 3.50 .0414 2 0.92 3.42 .0415 2 0.92 3.82 .0416 2 0.92 3.53 .0417 2 0.92 3.48 .0418 2 0.92 3.62 .0419 2 0.92 3.39 .0420 2 0.92 3.60 .0421 2 0.92 3.62 .0422 2 0.92 3.39 .0423 2 0.92 3.56 .0424 2 0.92 3.38 .0425 2 0.92 3.31 .0426 2 0.92 3.35 .0427 2 0.92 3.21 .0428 2 0.92 3.20 .0429 2 0.92 3.20 .0430 2 0.92 3.26 .0431 2 0.92 3.25 .0432 2 0.92 3.21 .0433 2 0.92 3.47 .0434 2 0.92 3.36 .0435 2 0.92 3.30 .0436 2 0.92 3.25 .0437 2 0.92 3.28 .0438 2 0.92 3.32 .0439 2 0.92 3.49 .0440 2 0.92 3.44 .0441 2 0.92 3.25 .0442 2 0.92 3.37 .0443 2 0.92 3.33 .0444 2 0.92 3.29 .0445 2 0.92 3.24 .0446 2 0.92 3.25 .0447 2 0.92 3.32 .0448 2 0.92 3.36 .0449 2 0.92 3.29 .0450 2 0.92 3.25 .0451 2 0.92 3.44 .0452 2 0.92 3.25 .0453 3 0.92 3.25 .0454 2 0.92 3.54 .0455 2 0.92 3.28 .0456 2 0.92 3.20 .0457 2 0.92 3.32 .0458 2 0.92 3.49 .0459 2 0.92 3.55 .0460 2 0.92 3.15 .0461 2 0.92 3.04 .0462 2 0.92 3.29 .0463 2 0.92 3.03 .0464 2 0.92 3.29 .0465 2 0.92 3.32 .0466 2 0.92 3.22 .0467 2 0.92 3.26 .0468 2 0.92 3.18 .0469 2 0.92 3.23 .0470 2 0.92 3.33 .0471 2 0.92 3.29 .0472 2 0.92 3.19 .0473 2 0.92 3.14 .0474 2 0.92 3.28 .0475 2 0.92 3.34 .0476 2 0.92 3.29 .0477 2 0.91 3.44 .0478 2 0.91 3.35 .0479 2 0.91 3.42 .0480 2 0.91 3.35 .0481 2 0.91 3.39 .0482 2 0.91 3.31 .0483 2 0.91 3.61 .0484 2 0.91 3.56 .0485 2 0.91 3.33 .0486 2 0.91 3.35 .0487 2 0.91 3.40 .0488 2 0.91 3.45 .0489 3 0.91 3.45 .0490 2 0.91 3.38 .0491 2 0.91 3.40 .0492 2 0.91 3.34 .0493 3 0.91 3.28 .0494 2 0.91 3.38 .0495 2 0.91 3.41 .0496 2 0.91 3.44 .0497 2 0.91 3.76 .0498 2 0.91 3.53 .0499 2 0.91 3.41 .0500 2 0.91 3.64 .0501 2 0.91 3.56 .0502 2 0.91 3.42 .0503 2 0.91 3.65 .0504 2 0.91 3.56 .0505 2 0.91 3.66 .0506 2 0.91 3.53 .0507 2 0.91 3.52 .0508 2 0.91 3.69 .0509 2 0.91 3.74 .0510 2 0.91 3.50 .0511 2 0.91 3.56 .0512 2 0.91 3.69 .0513 2 0.91 3.57 .0514 2 0.91 3.84 .0515 2 0.91 3.48 .0516 2 0.91 3.56 .0517 2 0.91 3.62 .0518 2 0.91 3.70 .0519 2 0.91 3.70 .0520 2 0.91 3.75 .0521 2 0.91 3.90 .0522 2 0.91 3.82 .0523 2 0.91 3.80 .0524 2 0.91 3.77 .0525 2 0.91 3.88 .0526 2 0.91 3.87 .0527 2 0.91 3.85 .0528 2 0.91 3.97 .0529 2 0.91 4.01 .0530 2 0.91 4.02 .0531 2 0.91 3.97 .0532 2 0.91 3.76 .0533 2 0.91 3.81 .0534 2 0.91 4.02 .0535 1 0.91 4.37 .0536 1 0.91 4.41 .0537 1 0.91 4.46 .0538 1 0.91 4.58 .0539 1 0.91 4.48 .0540 1 0.91 4.40 .0541 1 0.91 4.58 .0542 1 0.91 4.33 .0543 1 0.91 4.40 .0544 1 0.91 4.27 .0545 1 0.91 4.46 .0546 1 0.91 4.40 .0547 1 0.91 4.55 .0548 1 0.91 4.58 .0549 1 0.91 4.53 .0550 1 0.91 4.46 .0551 1 0.91 4.35 .0552 1 0.91 4.37 .0553 1 0.91 4.63 .0554 1 0.91 4.42 .0555 1 0.91 4.59 .0556 1 0.91 4.55 .0557 1 0.91 4.48 .0558 1 0.91 4.52 .0559 1 0.91 4.54 .0560 1 0.91 4.55 .0561 1 0.91 4.56 .0562 1 0.91 4.49 .0563 1 0.91 4.73 .0564 1 0.91 4.54 .0565 2 0.91 4.65 .0566 1 0.91 4.61 .0567 1 0.91 4.73 .0568 1 0.91 4.56 .0569 1 0.91 4.74 .0570 1 0.91 4.85 .0571 1 0.91 4.66 .0572 1 0.91 4.77 .0573 1 0.91 4.76 .0574 1 0.91 4.80 .0575 1 0.91 4.79 .0576 1 0.91 4.74 .0577 1 0.91 4.78 .0578 1 0.91 4.87 .0579 1 0.91 4.95 .0580 1 0.91 4.88 .0581 1 0.91 4.79 .0582 1 0.91 4.95 .0583 1 0.91 5.04 .0584 1 0.91 4.78 .0585 1 0.91 4.80 .0586 1 0.91 4.79 .0587 1 0.91 5.10 .0588 1 0.91 5.99 .0589 3 0.91 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0.94 5.83 .1922 1 0.94 5.92 .1923 1 0.94 5.89 .1924 1 0.94 5.73 .1925 1 0.94 5.83 .1926 1 0.94 6.02 .1927 1 0.94 5.90 .1928 1 0.94 5.83 .1929 1 0.94 6.07 .1930 1 0.94 5.77 .1931 1 0.94 6.22 .1932 1 0.94 6.06 .1933 1 0.94 6.03 .1934 1 0.94 5.85 .1935 1 0.94 6.19 .1936 1 0.94 6.13 .1937 1 0.94 6.27 .1938 1 0.94 6.04 .1939 1 0.94 5.82 .1940 1 0.94 6.19 .1941 1 0.94 6.00 .1942 1 0.94 5.85 .1943 1 0.94 5.81 .1944 1 0.94 5.70 .1945 1 0.94 5.76 .1946 1 0.94 5.80 .1947 1 0.94 5.75 .1948 1 0.94 5.79 .1949 1 0.94 5.90 .1950 1 0.94 5.70 .1951 1 0.94 5.57 .1952 2 0.94 5.80 .1953 1 0.94 5.61 .1954 1 0.94 5.68 .1955 1 0.94 5.47 .1956 1 0.94 5.69 .1957 1 0.94 5.68 .1958 1 0.94 5.75 .1959 1 0.94 5.76 .1960 1 0.94 5.71 .1961 1 0.94 5.76 .1962 1 0.94 5.77 .1963 1 0.93 5.69 .1964 1 0.93 5.65 .1965 1 0.93 5.64 .1966 1 0.93 5.83 .1967 1 0.93 5.78 .1968 1 0.93 5.56 .1969 1 0.93 5.93 .1970 1 0.93 5.86 .1971 1 0.93 6.17 .1972 1 0.93 5.73 .1973 1 0.93 5.92 .1974 1 0.93 5.82 .1975 1 0.93 5.79 .1976 1 0.93 5.63 .1977 1 0.93 5.56 .1978 1 0.93 5.78 .1979 1 0.93 5.57 .1980 1 0.93 5.96 .1981 1 0.93 6.08 .1982 1 0.93 6.11 .1983 1 0.93 5.72 .1984 1 0.93 5.85 .1985 1 0.93 5.67 .1986 1 0.93 5.86 .1987 1 0.93 5.67 .1988 1 0.93 5.67 .1989 1 0.93 5.98 .1990 1 0.93 5.83 .1991 1 0.93 5.81 .1992 1 0.93 5.64 .1993 1 0.93 5.47 .1994 1 0.93 5.58 .1995 1 0.93 5.39 .1996 1 0.93 5.48 .1997 1 0.93 5.49 .1998 1 0.93 5.40 .1999 1 0.93 5.45 .2000 1 0.93 5.44 .2001 1 0.93 5.33 .2002 1 0.93 5.41 .2003 1 0.93 5.31 .2004 1 0.93 5.24 .2005 1 0.93 5.28 .2006 1 0.93 5.59 .2007 1 0.93 5.39 .2008 1 0.93 5.57 .2009 1 0.93 6.23 .2010 1 0.93 5.63 .2011 1 0.93 5.84 .2012 2 0.93 5.59 .2013 1 0.93 5.70 .2014 2 0.93 5.46 .2015 2 0.93 5.50 .2016 2 0.93 5.56 .2017 1 0.93 6.41 .2018 1 0.93 6.42 .2019 1 0.93 5.49 .2020 1 0.93 5.47 .2021 1 0.93 5.41 .2022 1 0.93 5.21 .2023 1 0.93 5.26 .2024 1 0.93 5.31 .2025 1 0.93 5.14 .2026 1 0.93 5.32 .2027 1 0.93 5.40 .2028 1 0.93 5.03 .2029 1 0.93 5.08 .2030 1 0.93 5.07 .2031 1 0.93 4.91 .2032 1 0.93 5.02 .2033 1 0.93 4.74 .2034 1 0.93 4.99 .2035 1 0.93 4.82 .2036 1 0.93 5.05 .2037 1 0.93 4.88 .2038 1 0.93 4.91 .2039 1 0.93 4.66 .2040 1 0.93 4.73 .2041 1 0.93 4.72 .2042 1 0.93 4.88 .2043 1 0.93 4.76 .2044 1 0.93 5.02 .2045 1 0.93 5.02 .2046 1 0.93 4.82 .2047 1 0.93 5.00 EXTRACT_IMAGE: r2: masked 471 pixels DOSCATTER: r2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r2: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r2: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.15 Step 12 of 2112 0.58 96 0.02 0.16 Step 20 of 2112 0.58 96 0.02 0.16 Step 28 of 2112 0.59 96 0.02 0.17 Step 36 of 2112 0.59 96 0.02 0.16 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.14 Step 60 of 2112 0.59 96 0.02 0.16 Step 68 of 2112 0.59 96 0.02 0.16 Step 76 of 2112 0.59 96 0.02 0.16 Step 84 of 2112 0.59 96 0.02 0.16 Step 92 of 2112 0.59 96 0.02 0.18 Step 100 of 2112 0.60 96 0.02 0.17 Step 108 of 2112 0.60 96 0.02 0.17 Step 116 of 2112 0.60 96 0.02 0.16 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.02 0.14 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.14 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.61 96 0.02 0.15 Step 172 of 2112 0.61 96 0.02 0.15 Step 180 of 2112 0.61 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.14 Step 196 of 2112 0.61 96 0.02 0.17 Step 204 of 2112 0.61 96 0.02 0.16 Step 212 of 2112 0.61 96 0.03 0.17 Step 220 of 2112 0.61 96 0.03 0.18 Step 228 of 2112 0.62 96 0.02 0.15 Step 236 of 2112 0.62 96 0.02 0.17 Step 244 of 2112 0.62 96 0.02 0.14 Step 252 of 2112 0.62 96 0.02 0.16 Step 260 of 2112 0.62 96 0.02 0.16 Step 268 of 2112 0.62 96 0.01 0.17 Step 276 of 2112 0.62 96 0.02 0.18 Step 284 of 2112 0.62 96 0.02 0.18 Step 292 of 2112 0.63 96 0.02 0.18 Step 300 of 2112 0.63 96 0.02 0.19 Step 308 of 2112 0.63 96 0.02 0.16 Step 316 of 2112 0.63 96 0.02 0.19 Step 324 of 2112 0.63 96 0.02 0.19 Step 332 of 2112 0.63 96 0.02 0.18 Step 340 of 2112 0.63 96 0.02 0.17 Step 348 of 2112 0.63 96 0.02 0.17 Step 356 of 2112 0.63 96 0.02 0.16 Step 364 of 2112 0.64 96 0.02 0.15 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.16 Step 388 of 2112 0.64 96 0.02 0.16 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.16 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.65 96 0.02 0.16 Step 436 of 2112 0.65 96 0.02 0.16 Step 444 of 2112 0.65 96 0.02 0.17 Step 452 of 2112 0.65 96 0.01 0.15 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.16 Step 484 of 2112 0.65 96 0.02 0.15 Step 492 of 2112 0.66 96 0.02 0.15 Step 500 of 2112 0.66 96 0.02 0.17 Step 508 of 2112 0.66 96 0.02 0.16 Step 516 of 2112 0.66 96 0.02 0.16 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.02 0.17 Step 540 of 2112 0.66 96 0.02 0.18 Step 548 of 2112 0.67 96 0.02 0.15 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.15 Step 572 of 2112 0.67 96 0.02 0.15 Step 580 of 2112 0.67 96 0.02 0.16 Step 588 of 2112 0.67 96 0.02 0.16 Step 596 of 2112 0.67 96 0.02 0.16 Step 604 of 2112 0.67 96 0.02 0.16 Step 612 of 2112 0.68 96 0.02 0.17 Step 620 of 2112 0.68 96 0.02 0.16 Step 628 of 2112 0.68 96 0.02 0.16 Step 636 of 2112 0.68 96 0.02 0.16 Step 644 of 2112 0.68 128 0.03 0.22 Step 652 of 2112 0.68 128 0.03 0.23 Step 660 of 2112 0.68 128 0.04 0.25 Step 668 of 2112 0.68 128 0.02 0.23 Step 676 of 2112 0.69 128 0.02 0.22 Step 684 of 2112 0.69 128 0.02 0.21 Step 692 of 2112 0.69 128 0.02 0.21 Step 700 of 2112 0.69 128 0.03 0.24 Step 708 of 2112 0.69 128 0.03 0.23 Step 716 of 2112 0.69 128 0.03 0.24 Step 724 of 2112 0.69 128 0.03 0.24 Step 732 of 2112 0.69 128 0.02 0.24 Step 740 of 2112 0.70 128 0.03 0.25 Step 748 of 2112 0.70 128 0.03 0.24 Step 756 of 2112 0.70 128 0.02 0.23 Step 764 of 2112 0.70 128 0.03 0.24 Step 772 of 2112 0.70 128 0.02 0.22 Step 780 of 2112 0.70 128 0.03 0.21 Step 788 of 2112 0.70 128 0.03 0.22 Step 796 of 2112 0.71 128 0.03 0.24 Step 804 of 2112 0.71 128 0.03 0.24 Step 812 of 2112 0.71 128 0.03 0.22 Step 820 of 2112 0.71 128 0.02 0.22 Step 828 of 2112 0.71 128 0.03 0.23 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.03 0.21 Step 852 of 2112 0.71 128 0.03 0.21 Step 860 of 2112 0.72 128 0.03 0.20 Step 868 of 2112 0.72 128 0.03 0.22 Step 876 of 2112 0.72 128 0.03 0.20 Step 884 of 2112 0.72 128 0.02 0.20 Step 892 of 2112 0.72 128 0.03 0.24 Step 900 of 2112 0.72 128 0.02 0.24 Step 908 of 2112 0.72 128 0.03 0.23 Step 916 of 2112 0.73 128 0.03 0.22 Step 924 of 2112 0.73 128 0.03 0.20 Step 932 of 2112 0.73 128 0.03 0.22 Step 940 of 2112 0.73 128 0.03 0.21 Step 948 of 2112 0.73 128 0.02 0.22 Step 956 of 2112 0.73 128 0.02 0.23 Step 964 of 2112 0.73 128 0.02 0.23 Step 972 of 2112 0.73 128 0.02 0.23 Step 980 of 2112 0.74 128 0.02 0.22 Step 988 of 2112 0.74 128 0.03 0.23 Step 996 of 2112 0.74 128 0.03 0.21 Step 1004 of 2112 0.74 128 0.02 0.22 Step 1012 of 2112 0.74 128 0.02 0.22 Step 1020 of 2112 0.74 128 0.03 0.22 Step 1028 of 2112 0.74 128 0.03 0.24 Step 1036 of 2112 0.75 128 0.03 0.25 Step 1044 of 2112 0.75 128 0.03 0.24 Step 1052 of 2112 0.75 128 0.02 0.21 Step 1060 of 2112 0.75 128 0.03 0.22 Step 1068 of 2112 0.75 128 0.02 0.21 Step 1076 of 2112 0.75 128 0.02 0.21 Step 1084 of 2112 0.75 128 0.02 0.22 Step 1092 of 2112 0.75 160 0.03 0.34 Step 1100 of 2112 0.76 160 0.03 0.35 Step 1108 of 2112 0.76 160 0.04 0.36 Step 1116 of 2112 0.76 160 0.02 0.34 Step 1124 of 2112 0.76 160 0.03 0.34 Step 1132 of 2112 0.76 160 0.02 0.33 Step 1140 of 2112 0.76 160 0.02 0.32 Step 1148 of 2112 0.76 160 0.03 0.35 Step 1156 of 2112 0.77 160 0.03 0.32 Step 1164 of 2112 0.77 160 0.03 0.34 Step 1172 of 2112 0.77 160 0.02 0.36 Step 1180 of 2112 0.77 160 0.02 0.33 Step 1188 of 2112 0.77 160 0.02 0.32 Step 1196 of 2112 0.77 160 0.03 0.36 Step 1204 of 2112 0.77 160 0.03 0.34 Step 1212 of 2112 0.78 160 0.03 0.34 Step 1220 of 2112 0.78 160 0.03 0.32 Step 1228 of 2112 0.78 160 0.03 0.37 Step 1236 of 2112 0.78 160 0.03 0.34 Step 1244 of 2112 0.78 160 0.03 0.35 Step 1252 of 2112 0.78 160 0.03 0.36 Step 1260 of 2112 0.78 160 0.03 0.38 Step 1268 of 2112 0.78 160 0.03 0.38 Step 1276 of 2112 0.79 160 0.03 0.34 Step 1284 of 2112 0.79 160 0.02 0.33 Step 1292 of 2112 0.79 160 0.03 0.35 Step 1300 of 2112 0.79 160 0.03 0.34 Step 1308 of 2112 0.79 160 0.03 0.33 Step 1316 of 2112 0.79 160 0.03 0.34 Step 1324 of 2112 0.79 160 0.03 0.36 Step 1332 of 2112 0.80 160 0.03 0.37 Step 1340 of 2112 0.80 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.34 Step 1356 of 2112 0.80 160 0.04 0.35 Step 1364 of 2112 0.80 160 0.03 0.34 Step 1372 of 2112 0.80 160 0.03 0.36 Step 1380 of 2112 0.80 160 0.04 0.34 Step 1388 of 2112 0.81 160 0.04 0.33 Step 1396 of 2112 0.81 160 0.03 0.34 Step 1404 of 2112 0.81 160 0.03 0.34 Step 1412 of 2112 0.81 160 0.03 0.33 Step 1420 of 2112 0.81 160 0.03 0.32 Step 1428 of 2112 0.81 160 0.03 0.33 Step 1436 of 2112 0.81 160 0.03 0.34 Step 1444 of 2112 0.82 160 0.03 0.34 Step 1452 of 2112 0.82 192 0.04 0.39 Step 1460 of 2112 0.82 192 0.03 0.38 Step 1468 of 2112 0.82 192 0.03 0.36 Step 1476 of 2112 0.82 192 0.04 0.38 Step 1484 of 2112 0.82 192 0.04 0.38 Step 1492 of 2112 0.82 192 0.03 0.37 Step 1500 of 2112 0.82 192 0.04 0.42 Step 1508 of 2112 0.83 192 0.04 0.42 Step 1516 of 2112 0.83 192 0.05 0.44 Step 1524 of 2112 0.83 192 0.04 0.41 Step 1532 of 2112 0.83 192 0.04 0.38 Step 1540 of 2112 0.83 192 0.03 0.39 Step 1548 of 2112 0.83 192 0.04 0.40 Step 1556 of 2112 0.83 192 0.04 0.41 Step 1564 of 2112 0.84 192 0.03 0.41 Step 1572 of 2112 0.84 192 0.04 0.41 Step 1580 of 2112 0.84 192 0.04 0.41 Step 1588 of 2112 0.84 192 0.04 0.38 Step 1596 of 2112 0.84 192 0.04 0.40 Step 1604 of 2112 0.84 192 0.04 0.41 Step 1612 of 2112 0.84 192 0.04 0.37 Step 1620 of 2112 0.85 192 0.04 0.40 Step 1628 of 2112 0.85 192 0.04 0.39 Step 1636 of 2112 0.85 192 0.04 0.40 Step 1644 of 2112 0.85 192 0.04 0.39 Step 1652 of 2112 0.85 192 0.04 0.40 Step 1660 of 2112 0.85 192 0.04 0.40 Step 1668 of 2112 0.85 192 0.04 0.37 Step 1676 of 2112 0.86 192 0.03 0.38 Step 1684 of 2112 0.86 192 0.04 0.41 Step 1692 of 2112 0.86 192 0.04 0.38 Step 1700 of 2112 0.86 192 0.04 0.39 Step 1708 of 2112 0.86 192 0.05 0.37 Step 1716 of 2112 0.86 192 0.04 0.38 Step 1724 of 2112 0.86 192 0.04 0.38 Step 1732 of 2112 0.87 192 0.03 0.38 Step 1740 of 2112 0.87 192 0.04 0.37 Step 1748 of 2112 0.87 224 0.04 0.52 Step 1756 of 2112 0.87 224 0.04 0.50 Step 1764 of 2112 0.87 224 0.04 0.51 Step 1772 of 2112 0.87 224 0.05 0.53 Step 1780 of 2112 0.87 224 0.04 0.48 Step 1788 of 2112 0.88 224 0.04 0.46 Step 1796 of 2112 0.88 224 0.04 0.48 Step 1804 of 2112 0.88 224 0.04 0.50 Step 1812 of 2112 0.88 224 0.05 0.51 Step 1820 of 2112 0.88 224 0.05 0.52 Step 1828 of 2112 0.88 224 0.04 0.53 Step 1836 of 2112 0.88 224 0.06 0.53 Step 1844 of 2112 0.89 224 0.03 0.52 Step 1852 of 2112 0.89 224 0.03 0.51 Step 1860 of 2112 0.89 224 0.03 0.51 Step 1868 of 2112 0.89 224 0.03 0.51 Step 1876 of 2112 0.89 224 0.04 0.51 Step 1884 of 2112 0.89 224 0.04 0.49 Step 1892 of 2112 0.89 224 0.05 0.52 Step 1900 of 2112 0.90 224 0.04 0.49 Step 1908 of 2112 0.90 224 0.04 0.52 Step 1916 of 2112 0.90 224 0.04 0.52 Step 1924 of 2112 0.90 224 0.04 0.52 Step 1932 of 2112 0.90 224 0.03 0.49 Step 1940 of 2112 0.90 224 0.04 0.50 Step 1948 of 2112 0.90 224 0.03 0.49 Step 1956 of 2112 0.91 224 0.03 0.50 Step 1964 of 2112 0.91 224 0.03 0.47 Step 1972 of 2112 0.91 224 0.05 0.49 Step 1980 of 2112 0.91 224 0.04 0.50 Step 1988 of 2112 0.91 224 0.04 0.50 Step 1996 of 2112 0.91 256 0.05 0.51 Step 2004 of 2112 0.91 256 0.05 0.49 Step 2012 of 2112 0.92 256 0.06 0.49 Step 2020 of 2112 0.92 256 0.06 0.53 Step 2028 of 2112 0.92 256 0.05 0.50 Step 2036 of 2112 0.92 256 0.05 0.51 Step 2044 of 2112 0.92 256 0.03 0.52 Step 2052 of 2112 0.92 256 0.05 0.50 Step 2060 of 2112 0.92 256 0.03 0.48 Step 2068 of 2112 0.93 256 0.05 0.51 Step 2076 of 2112 0.93 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.05 0.49 Step 2092 of 2112 0.93 256 0.05 0.52 Step 2100 of 2112 0.93 256 0.06 0.52 Step 2108 of 2112 0.93 256 0.05 0.51 ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 2 0.92 2.94 .0004 1 0.92 3.12 .0005 1 0.92 3.08 .0006 1 0.92 2.95 .0007 1 0.92 2.93 .0008 1 0.92 3.01 .0009 1 0.92 3.10 .0010 1 0.92 2.91 .0011 1 0.92 2.99 .0012 1 0.92 3.09 .0013 1 0.92 3.13 .0014 1 0.92 3.11 .0015 1 0.92 2.97 .0016 1 0.92 3.12 .0017 1 0.92 3.18 .0018 1 0.92 2.96 .0019 1 0.92 3.19 .0020 1 0.92 3.19 .0021 1 0.92 3.12 .0022 1 0.92 3.22 .0023 2 0.92 3.26 .0024 1 0.92 3.10 .0025 1 0.92 3.28 .0026 1 0.92 3.18 .0027 2 0.92 2.86 .0028 2 0.92 2.80 .0029 2 0.92 2.86 .0030 2 0.92 2.87 .0031 2 0.92 2.83 .0032 2 0.92 2.85 .0033 2 0.92 2.87 .0034 2 0.92 3.13 .0035 2 0.92 2.78 .0036 2 0.92 2.93 .0037 2 0.92 3.05 .0038 2 0.92 2.97 .0039 2 0.92 2.96 .0040 2 0.92 2.98 .0041 2 0.92 2.97 .0042 2 0.92 3.05 .0043 2 0.92 2.87 .0044 2 0.92 2.91 .0045 2 0.92 3.16 .0046 2 0.92 2.85 .0047 2 0.92 2.99 .0048 2 0.92 2.95 .0049 2 0.92 2.95 .0050 2 0.92 2.98 .0051 2 0.92 2.96 .0052 2 0.92 2.81 .0053 2 0.92 3.19 .0054 2 0.92 3.13 .0055 2 0.92 3.56 .0056 2 0.92 2.79 .0057 2 0.92 3.10 .0058 2 0.92 3.04 .0059 2 0.92 3.20 .0060 2 0.92 3.18 .0061 2 0.92 3.07 .0062 2 0.92 2.98 .0063 2 0.92 2.97 .0064 2 0.92 2.85 .0065 2 0.92 2.96 .0066 2 0.92 3.00 .0067 2 0.92 2.92 .0068 2 0.92 3.03 .0069 2 0.92 2.85 .0070 2 0.92 3.04 .0071 2 0.92 3.08 .0072 2 0.92 3.08 .0073 2 0.92 2.94 .0074 2 0.92 3.02 .0075 2 0.92 3.15 .0076 2 0.92 3.03 .0077 2 0.92 2.98 .0078 2 0.92 3.06 .0079 2 0.92 3.14 .0080 2 0.92 3.01 .0081 2 0.92 3.02 .0082 2 0.92 3.10 .0083 2 0.92 3.09 .0084 2 0.92 2.97 .0085 2 0.92 3.11 .0086 2 0.92 3.10 .0087 2 0.92 3.04 .0088 2 0.92 3.21 .0089 2 0.92 3.03 .0090 2 0.92 3.02 .0091 2 0.92 3.07 .0092 2 0.92 3.18 .0093 2 0.92 3.13 .0094 2 0.92 3.18 .0095 2 0.92 3.22 .0096 2 0.92 3.41 .0097 2 0.92 3.19 .0098 2 0.92 3.28 .0099 2 0.92 3.32 .0100 2 0.92 3.39 .0101 2 0.92 3.28 .0102 2 0.92 3.46 .0103 2 0.92 3.41 .0104 2 0.92 3.03 .0105 2 0.92 3.39 .0106 2 0.92 3.13 .0107 2 0.92 3.29 .0108 2 0.92 3.16 .0109 2 0.92 3.13 .0110 2 0.92 3.02 .0111 2 0.92 3.20 .0112 2 0.92 3.46 .0113 2 0.92 3.58 .0114 2 0.92 3.04 .0115 2 0.92 3.01 .0116 2 0.92 3.13 .0117 2 0.92 3.11 .0118 2 0.92 3.15 .0119 2 0.92 2.94 .0120 2 0.92 3.10 .0121 2 0.92 3.04 .0122 2 0.92 3.19 .0123 2 0.92 3.07 .0124 2 0.92 3.29 .0125 2 0.92 3.28 .0126 2 0.92 3.19 .0127 2 0.92 3.34 .0128 2 0.92 3.30 .0129 2 0.92 3.38 .0130 2 0.92 3.40 .0131 2 0.92 3.28 .0132 2 0.92 3.35 .0133 2 0.92 3.59 .0134 2 0.92 3.34 .0135 2 0.92 3.42 .0136 2 0.92 3.31 .0137 2 0.92 3.37 .0138 2 0.92 3.50 .0139 2 0.92 3.42 .0140 2 0.92 3.46 .0141 2 0.92 3.62 .0142 2 0.92 3.48 .0143 2 0.92 3.68 .0144 2 0.92 3.58 .0145 2 0.92 3.53 .0146 2 0.92 3.62 .0147 2 0.92 3.70 .0148 2 0.92 3.59 .0149 2 0.92 3.78 .0150 2 0.92 4.12 .0151 2 0.92 3.71 .0152 2 0.92 4.00 .0153 2 0.92 3.94 .0154 2 0.92 3.84 .0155 2 0.92 3.93 .0156 2 0.92 4.62 .0157 2 0.92 3.87 .0158 2 0.92 4.00 .0159 3 0.92 3.87 .0160 3 0.92 3.89 .0161 2 0.92 3.93 .0162 2 0.92 4.09 .0163 2 0.92 3.95 .0164 2 0.92 4.21 .0165 2 0.92 4.32 .0166 2 0.92 4.26 .0167 2 0.92 4.15 .0168 2 0.92 4.19 .0169 2 0.92 4.20 .0170 2 0.92 4.16 .0171 2 0.92 4.26 .0172 2 0.92 4.17 .0173 2 0.92 4.09 .0174 2 0.92 4.30 .0175 2 0.92 4.20 .0176 2 0.92 4.29 .0177 2 0.92 4.33 .0178 2 0.92 4.20 .0179 2 0.92 4.45 .0180 2 0.92 4.29 .0181 2 0.92 4.30 .0182 2 0.92 4.49 .0183 2 0.92 4.39 .0184 2 0.92 4.39 .0185 2 0.92 4.58 .0186 2 0.92 4.37 .0187 2 0.92 4.34 .0188 2 0.92 4.44 .0189 2 0.92 4.26 .0190 2 0.92 4.49 .0191 2 0.92 4.23 .0192 2 0.92 4.36 .0193 2 0.92 4.40 .0194 2 0.92 4.27 .0195 2 0.92 4.19 .0196 2 0.92 4.46 .0197 2 0.92 4.18 .0198 2 0.92 4.31 .0199 2 0.92 4.11 .0200 2 0.92 4.27 .0201 2 0.92 4.16 .0202 2 0.92 4.13 .0203 2 0.92 4.16 .0204 2 0.92 4.19 .0205 2 0.92 4.16 .0206 1 0.92 4.66 .0207 1 0.92 4.59 .0208 1 0.92 4.46 .0209 1 0.92 4.61 .0210 1 0.92 4.44 .0211 1 0.92 4.47 .0212 1 0.92 4.59 .0213 1 0.92 4.38 .0214 1 0.92 4.28 .0215 1 0.92 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4.21 .0327 2 0.92 3.97 .0328 2 0.92 4.17 .0329 2 0.92 4.27 .0330 2 0.92 4.11 .0331 2 0.92 4.11 .0332 2 0.92 4.10 .0333 2 0.92 4.11 .0334 2 0.92 3.91 .0335 2 0.92 4.21 .0336 2 0.92 4.00 .0337 2 0.92 4.17 .0338 2 0.92 4.15 .0339 2 0.92 3.77 .0340 2 0.92 3.79 .0341 2 0.92 4.08 .0342 2 0.92 3.94 .0343 2 0.92 3.86 .0344 2 0.92 4.13 .0345 2 0.92 3.96 .0346 2 0.92 4.04 .0347 2 0.92 4.06 .0348 2 0.92 3.82 .0349 2 0.92 4.04 .0350 2 0.92 3.84 .0351 2 0.92 4.02 .0352 2 0.92 3.74 .0353 2 0.92 3.66 .0354 2 0.92 3.77 .0355 2 0.92 3.82 .0356 2 0.92 3.85 .0357 2 0.92 3.85 .0358 2 0.92 3.77 .0359 2 0.92 3.67 .0360 2 0.92 3.70 .0361 2 0.92 3.80 .0362 2 0.92 3.66 .0363 2 0.92 3.67 .0364 2 0.92 3.81 .0365 2 0.92 3.90 .0366 2 0.92 4.16 .0367 2 0.92 3.59 .0368 2 0.92 3.70 .0369 2 0.92 3.61 .0370 2 0.92 3.62 .0371 2 0.92 3.63 .0372 2 0.92 3.57 .0373 2 0.92 3.72 .0374 2 0.92 3.52 .0375 2 0.92 3.60 .0376 2 0.92 3.70 .0377 2 0.92 3.38 .0378 3 0.92 3.73 .0379 2 0.92 3.75 .0380 2 0.92 3.64 .0381 2 0.92 3.72 .0382 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1 0.91 4.89 .0605 1 0.91 4.93 .0606 1 0.91 4.85 .0607 1 0.91 5.07 .0608 1 0.91 4.95 .0609 1 0.91 4.97 .0610 1 0.91 5.06 .0611 1 0.91 4.88 .0612 1 0.91 5.10 .0613 1 0.91 5.13 .0614 1 0.91 5.04 .0615 1 0.91 4.93 .0616 1 0.91 5.01 .0617 1 0.91 5.29 .0618 1 0.91 4.98 .0619 1 0.91 4.98 .0620 1 0.91 5.29 .0621 1 0.91 5.10 .0622 1 0.91 5.14 .0623 1 0.91 5.15 .0624 1 0.91 5.19 .0625 1 0.91 5.22 .0626 1 0.91 5.30 .0627 1 0.91 5.08 .0628 1 0.91 5.26 .0629 1 0.91 5.38 .0630 1 0.91 5.16 .0631 1 0.91 5.20 .0632 1 0.91 5.21 .0633 1 0.91 5.41 .0634 1 0.91 5.09 .0635 1 0.91 5.39 .0636 1 0.91 5.28 .0637 1 0.91 5.21 .0638 1 0.91 5.60 .0639 1 0.91 5.49 .0640 1 0.91 5.55 .0641 1 0.91 5.37 .0642 1 0.91 5.72 .0643 1 0.91 5.62 .0644 1 0.91 5.70 .0645 1 0.91 5.63 .0646 1 0.91 5.70 .0647 1 0.91 5.67 .0648 1 0.91 5.47 .0649 1 0.91 5.75 .0650 1 0.91 5.89 .0651 1 0.91 5.59 .0652 1 0.91 5.93 .0653 1 0.91 5.74 .0654 1 0.91 5.87 .0655 1 0.91 5.84 .0656 1 0.91 5.70 .0657 1 0.91 6.10 .0658 1 0.91 6.02 .0659 1 0.91 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0.92 4.46 .1548 1 0.92 4.49 .1549 1 0.92 4.44 .1550 1 0.92 4.48 .1551 1 0.92 4.58 .1552 1 0.92 4.40 .1553 1 0.92 4.41 .1554 1 0.92 4.81 .1555 1 0.92 4.50 .1556 1 0.92 4.77 .1557 1 0.92 4.59 .1558 1 0.92 4.75 .1559 1 0.92 4.56 .1560 1 0.92 4.45 .1561 1 0.92 4.67 .1562 1 0.92 4.61 .1563 1 0.92 4.46 .1564 1 0.92 4.74 .1565 1 0.92 4.65 .1566 1 0.92 4.62 .1567 1 0.92 4.65 .1568 1 0.92 4.63 .1569 1 0.92 4.76 .1570 1 0.92 4.62 .1571 1 0.92 4.56 .1572 1 0.92 4.58 .1573 1 0.92 4.41 .1574 1 0.92 4.32 .1575 1 0.92 4.42 .1576 1 0.92 4.39 .1577 1 0.92 4.49 .1578 1 0.92 4.34 .1579 1 0.92 4.44 .1580 1 0.92 4.33 .1581 1 0.92 4.54 .1582 1 0.92 4.72 .1583 1 0.92 4.54 .1584 1 0.92 4.56 .1585 1 0.92 4.38 .1586 1 0.92 4.53 .1587 1 0.92 4.68 .1588 1 0.92 4.52 .1589 1 0.92 4.45 .1590 1 0.92 4.59 .1591 1 0.92 4.64 .1592 1 0.92 4.58 .1593 1 0.92 4.63 .1594 1 0.92 4.44 .1595 1 0.92 4.63 .1596 1 0.92 4.62 .1597 2 0.92 4.46 .1598 1 0.92 4.61 .1599 1 0.92 4.74 .1600 1 0.92 4.75 .1601 1 0.92 4.62 .1602 1 0.92 4.50 .1603 1 0.92 4.86 .1604 1 0.92 4.62 .1605 1 0.92 4.49 .1606 1 0.93 4.59 .1607 1 0.93 4.71 .1608 1 0.93 4.67 .1609 1 0.93 4.69 .1610 1 0.93 4.51 .1611 1 0.93 4.64 .1612 1 0.93 4.56 .1613 1 0.93 4.66 .1614 1 0.93 4.72 .1615 1 0.93 4.45 .1616 2 0.93 4.63 .1617 1 0.93 4.95 .1618 1 0.93 4.59 .1619 1 0.93 4.77 .1620 1 0.93 4.79 .1621 1 0.93 5.21 .1622 1 0.93 4.55 .1623 1 0.93 5.01 .1624 1 0.93 4.76 .1625 1 0.93 4.64 .1626 1 0.93 4.90 .1627 1 0.93 4.56 .1628 1 0.93 4.72 .1629 1 0.93 4.50 .1630 1 0.93 4.67 .1631 1 0.93 4.57 .1632 1 0.93 4.35 .1633 1 0.93 4.47 .1634 1 0.93 4.55 .1635 1 0.93 4.83 .1636 1 0.93 4.54 .1637 1 0.93 4.48 .1638 1 0.93 4.39 .1639 1 0.93 4.42 .1640 1 0.93 4.60 .1641 1 0.93 4.29 .1642 1 0.93 4.55 .1643 1 0.93 4.53 .1644 1 0.93 4.44 .1645 1 0.93 4.51 .1646 1 0.93 4.55 .1647 1 0.93 4.67 .1648 1 0.93 4.78 .1649 1 0.93 4.49 .1650 1 0.93 4.52 .1651 1 0.93 4.66 .1652 1 0.93 4.59 .1653 1 0.93 4.56 .1654 1 0.93 4.37 .1655 1 0.93 4.69 .1656 1 0.93 4.39 .1657 1 0.93 4.55 .1658 1 0.93 4.57 .1659 1 0.93 4.78 .1660 1 0.93 4.61 .1661 1 0.93 4.44 .1662 1 0.93 4.39 .1663 1 0.93 4.45 .1664 1 0.93 4.55 .1665 1 0.93 4.35 .1666 1 0.93 4.42 .1667 1 0.93 4.56 .1668 1 0.93 4.38 .1669 1 0.93 4.39 .1670 1 0.93 4.59 .1671 1 0.93 4.63 .1672 2 0.93 4.50 .1673 1 0.93 4.81 .1674 1 0.93 4.47 .1675 1 0.93 4.71 .1676 1 0.93 4.71 .1677 1 0.93 4.49 .1678 1 0.93 4.48 .1679 1 0.93 4.37 .1680 1 0.93 4.28 .1681 1 0.93 4.23 .1682 1 0.93 4.34 .1683 1 0.93 4.27 .1684 1 0.93 4.20 .1685 1 0.93 4.33 .1686 1 0.93 4.38 .1687 1 0.93 4.19 .1688 1 0.93 4.30 .1689 1 0.93 4.20 .1690 1 0.93 4.15 .1691 1 0.93 4.13 .1692 1 0.93 4.30 .1693 1 0.93 4.33 .1694 1 0.93 4.22 .1695 1 0.93 4.24 .1696 1 0.93 4.32 .1697 1 0.93 4.10 .1698 1 0.93 4.19 .1699 1 0.93 4.29 .1700 1 0.93 4.40 .1701 1 0.93 4.22 .1702 1 0.93 4.23 .1703 1 0.93 4.12 .1704 1 0.93 4.22 .1705 1 0.93 4.20 .1706 1 0.93 4.08 .1707 1 0.93 4.18 .1708 1 0.93 4.20 .1709 1 0.93 4.37 .1710 1 0.93 4.04 .1711 1 0.93 4.27 .1712 1 0.93 4.15 .1713 1 0.93 4.19 .1714 1 0.93 4.22 .1715 1 0.93 4.27 .1716 1 0.93 4.16 .1717 1 0.93 4.25 .1718 1 0.93 4.39 .1719 1 0.93 4.13 .1720 1 0.93 4.13 .1721 1 0.93 4.27 .1722 1 0.93 4.27 .1723 1 0.93 4.07 .1724 1 0.93 4.06 .1725 1 0.93 4.19 .1726 1 0.93 4.27 .1727 1 0.93 4.01 .1728 1 0.93 4.05 .1729 1 0.93 4.28 .1730 1 0.93 4.08 .1731 1 0.93 4.07 .1732 1 0.93 4.12 .1733 1 0.93 4.00 .1734 1 0.93 3.96 .1735 1 0.93 4.16 .1736 1 0.93 4.19 .1737 1 0.93 4.02 .1738 1 0.93 3.98 .1739 1 0.93 4.01 .1740 1 0.93 4.08 .1741 2 0.93 4.10 .1742 1 0.93 4.26 .1743 1 0.93 4.12 .1744 1 0.93 4.12 .1745 1 0.93 4.08 .1746 1 0.93 4.00 .1747 1 0.93 4.08 .1748 1 0.93 4.01 .1749 1 0.93 3.85 .1750 1 0.93 4.04 .1751 1 0.93 4.12 .1752 1 0.93 3.95 .1753 1 0.93 4.07 .1754 1 0.93 3.95 .1755 1 0.93 3.98 .1756 1 0.93 4.05 .1757 1 0.93 3.97 .1758 1 0.93 4.14 .1759 1 0.93 4.03 .1760 1 0.93 4.16 .1761 1 0.93 4.17 .1762 1 0.93 3.98 .1763 1 0.93 4.12 .1764 1 0.93 4.00 .1765 1 0.93 4.03 .1766 1 0.93 4.00 .1767 1 0.93 4.09 .1768 1 0.93 4.14 .1769 1 0.93 4.01 .1770 1 0.93 4.19 .1771 1 0.93 4.05 .1772 1 0.93 3.94 .1773 1 0.93 4.08 .1774 1 0.93 4.17 .1775 1 0.93 3.96 .1776 1 0.93 4.28 .1777 1 0.93 4.21 .1778 1 0.93 4.12 .1779 1 0.93 4.81 .1780 1 0.93 4.06 .1781 1 0.93 4.21 .1782 1 0.93 4.15 .1783 1 0.93 4.28 .1784 1 0.93 4.24 .1785 1 0.93 3.95 .1786 1 0.93 4.24 .1787 1 0.93 4.23 .1788 1 0.93 4.16 .1789 1 0.93 4.20 .1790 1 0.93 4.10 .1791 1 0.93 4.09 .1792 1 0.93 4.33 .1793 1 0.93 4.07 .1794 1 0.93 4.13 .1795 1 0.93 4.11 .1796 1 0.93 4.32 .1797 1 0.93 4.16 .1798 1 0.93 4.20 .1799 1 0.93 4.12 .1800 1 0.93 4.16 .1801 1 0.93 4.15 .1802 1 0.93 4.19 .1803 1 0.93 4.60 .1804 1 0.93 4.23 .1805 1 0.93 4.11 .1806 1 0.93 3.99 .1807 1 0.93 4.07 .1808 1 0.93 4.11 .1809 1 0.93 4.04 .1810 1 0.93 4.19 .1811 1 0.93 4.33 .1812 1 0.93 4.33 .1813 2 0.93 4.55 .1814 1 0.93 4.90 .1815 1 0.93 4.40 .1816 1 0.93 4.39 .1817 1 0.93 4.41 .1818 1 0.93 4.45 .1819 2 0.93 4.44 .1820 1 0.93 4.36 .1821 1 0.93 4.32 .1822 1 0.94 4.46 .1823 1 0.94 4.52 .1824 1 0.94 4.47 .1825 1 0.94 4.84 .1826 1 0.94 4.45 .1827 1 0.94 4.37 .1828 1 0.94 4.32 .1829 1 0.94 4.43 .1830 1 0.94 4.38 .1831 1 0.94 4.58 .1832 1 0.94 4.53 .1833 1 0.94 4.36 .1834 1 0.94 4.31 .1835 1 0.94 4.37 .1836 1 0.94 4.35 .1837 1 0.94 4.40 .1838 1 0.94 4.64 .1839 1 0.94 4.54 .1840 1 0.94 4.35 .1841 1 0.94 4.49 .1842 1 0.94 4.38 .1843 1 0.94 4.68 .1844 1 0.94 4.45 .1845 1 0.94 4.49 .1846 1 0.94 4.37 .1847 1 0.94 4.44 .1848 1 0.94 4.40 .1849 2 0.94 4.42 .1850 1 0.94 4.46 .1851 1 0.94 4.36 .1852 1 0.94 4.25 .1853 1 0.94 4.46 .1854 1 0.94 4.48 .1855 1 0.94 4.44 .1856 1 0.94 4.35 .1857 1 0.94 4.48 .1858 1 0.94 4.33 .1859 1 0.94 4.66 .1860 1 0.94 4.54 .1861 1 0.94 4.54 .1862 1 0.94 4.64 .1863 1 0.94 4.57 .1864 1 0.94 4.44 .1865 1 0.94 4.52 .1866 1 0.94 4.56 .1867 1 0.94 4.65 .1868 1 0.94 4.54 .1869 1 0.94 4.76 .1870 1 0.94 4.65 .1871 1 0.94 4.79 .1872 1 0.94 4.25 .1873 1 0.94 4.63 .1874 1 0.94 4.30 .1875 2 0.94 4.97 .1876 1 0.94 4.47 .1877 1 0.94 4.59 .1878 1 0.94 4.61 .1879 1 0.94 4.42 .1880 1 0.94 4.57 .1881 1 0.94 4.38 .1882 1 0.94 4.48 .1883 1 0.94 4.76 .1884 1 0.94 4.61 .1885 1 0.94 4.69 .1886 1 0.94 4.66 .1887 1 0.94 5.07 .1888 1 0.94 4.88 .1889 1 0.94 4.46 .1890 1 0.94 4.51 .1891 1 0.94 4.66 .1892 1 0.94 4.59 .1893 1 0.94 4.68 .1894 1 0.94 4.31 .1895 1 0.94 4.56 .1896 1 0.94 4.73 .1897 1 0.94 4.37 .1898 1 0.94 4.62 .1899 1 0.94 4.53 .1900 1 0.94 4.34 .1901 1 0.94 4.28 .1902 1 0.94 4.59 .1903 1 0.94 4.50 .1904 1 0.94 4.13 .1905 1 0.94 4.65 .1906 1 0.94 4.72 .1907 1 0.94 4.40 .1908 1 0.94 4.43 .1909 1 0.94 4.33 .1910 1 0.94 4.48 .1911 1 0.94 4.52 .1912 1 0.94 4.70 .1913 1 0.94 4.54 .1914 1 0.94 4.78 .1915 2 0.94 4.21 .1916 1 0.94 4.30 .1917 1 0.94 4.63 .1918 1 0.94 4.23 .1919 1 0.94 4.34 .1920 1 0.94 4.64 .1921 1 0.94 4.29 .1922 1 0.94 4.38 .1923 1 0.94 4.44 .1924 1 0.94 4.28 .1925 1 0.94 4.39 .1926 1 0.94 4.47 .1927 1 0.94 4.45 .1928 1 0.94 4.32 .1929 1 0.94 4.65 .1930 1 0.94 4.20 .1931 1 0.94 4.75 .1932 1 0.94 4.54 .1933 1 0.94 4.44 .1934 1 0.94 4.37 .1935 1 0.94 4.66 .1936 1 0.94 4.50 .1937 1 0.94 4.66 .1938 1 0.94 4.54 .1939 1 0.94 4.30 .1940 1 0.94 4.53 .1941 1 0.94 4.48 .1942 1 0.94 4.40 .1943 1 0.94 4.38 .1944 1 0.94 4.35 .1945 1 0.94 4.20 .1946 1 0.94 4.32 .1947 1 0.94 4.30 .1948 1 0.94 4.29 .1949 1 0.94 4.37 .1950 1 0.94 4.27 .1951 1 0.94 4.17 .1952 2 0.94 4.37 .1953 1 0.94 4.10 .1954 1 0.94 4.20 .1955 1 0.94 4.08 .1956 1 0.94 4.29 .1957 1 0.94 4.19 .1958 1 0.94 4.37 .1959 1 0.94 4.29 .1960 1 0.94 4.24 .1961 1 0.94 4.26 .1962 1 0.94 4.23 .1963 1 0.93 4.21 .1964 1 0.93 4.27 .1965 1 0.93 4.24 .1966 1 0.93 4.35 .1967 1 0.93 4.30 .1968 1 0.93 4.08 .1969 1 0.93 4.37 .1970 1 0.93 4.45 .1971 1 0.93 4.61 .1972 1 0.93 4.26 .1973 1 0.93 4.40 .1974 1 0.93 4.32 .1975 1 0.93 4.25 .1976 1 0.93 4.14 .1977 1 0.93 4.22 .1978 1 0.93 4.30 .1979 1 0.93 4.16 .1980 1 0.93 4.44 .1981 1 0.93 4.52 .1982 1 0.93 4.55 .1983 1 0.93 4.22 .1984 1 0.93 4.42 .1985 1 0.93 4.28 .1986 1 0.93 4.35 .1987 1 0.93 4.18 .1988 1 0.93 4.26 .1989 1 0.93 4.42 .1990 1 0.93 4.36 .1991 1 0.93 4.27 .1992 1 0.93 4.12 .1993 1 0.93 4.03 .1994 1 0.93 4.16 .1995 1 0.93 4.06 .1996 1 0.93 4.06 .1997 1 0.93 3.99 .1998 1 0.93 4.00 .1999 1 0.93 4.03 .2000 1 0.93 4.11 .2001 1 0.93 4.05 .2002 1 0.93 4.07 .2003 1 0.93 3.97 .2004 1 0.93 3.95 .2005 1 0.93 4.00 .2006 1 0.93 4.22 .2007 1 0.93 4.01 .2008 1 0.93 4.17 .2009 1 0.93 4.79 .2010 1 0.93 4.33 .2011 1 0.93 4.55 .2012 2 0.93 4.31 .2013 1 0.93 4.44 .2014 2 0.93 4.21 .2015 2 0.93 4.26 .2016 2 0.93 4.31 .2017 2 0.93 4.44 .2018 2 0.93 4.40 .2019 1 0.93 4.42 .2020 1 0.93 4.34 .2021 1 0.93 4.35 .2022 1 0.93 4.07 .2023 1 0.93 4.12 .2024 1 0.93 4.18 .2025 1 0.93 4.07 .2026 1 0.93 4.19 .2027 1 0.93 4.30 .2028 1 0.93 3.91 .2029 1 0.93 3.98 .2030 1 0.93 4.01 .2031 1 0.93 3.97 .2032 1 0.93 4.01 .2033 1 0.93 3.76 .2034 1 0.93 3.99 .2035 1 0.93 3.80 .2036 1 0.93 4.11 .2037 1 0.93 3.90 .2038 1 0.93 3.86 .2039 1 0.93 3.72 .2040 1 0.93 3.82 .2041 1 0.93 3.88 .2042 1 0.93 3.89 .2043 1 0.93 3.77 .2044 1 0.93 4.11 .2045 1 0.93 4.12 .2046 1 0.93 4.05 .2047 1 0.93 4.06 EXTRACT_IMAGE: r2: masked 483 pixels SPCALIB: r2: First extraction chi^2 0.00000 11.2652 SPCALIB: r2: Second extraction chi^2 0.00000 10.3630 SUPERFLAT: r2: Creating superflat from 305 fibers highest breakpoint does not cover highest x value, changing .0000highest breakpoint does not cover highest x value, changing .0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r2: Number of fiberflat points LE 0 = 13028 SPCALIB: r2: Elapsed time = 486. seconds SPREDUCE: r2: Best flat = sdR-r2-00034673.fit SPREDUCE: r2: Best arc = sdR-r2-00034674.fit QAPLOT_ARCLINE: r2: Number of arc lines: 34 QAPLOT_ARCLINE: r2: Number of arc lines above 8000 Ang: 10 QAPLOT_ARCLINE: r2: Arcline 0: lambda= 5881.90 Ang, median dev= -0.000 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: r2: Arcline 1: lambda= 5944.83 Ang, median dev= -0.002 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r2: Arcline 2: lambda= 6030.00 Ang, median dev= 0.011 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: r2: Arcline 3: lambda= 6074.34 Ang, median dev= -0.001 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 4: lambda= 6096.16 Ang, median dev= -0.002 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 5: lambda= 6143.06 Ang, median dev= -0.009 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 6: lambda= 6163.59 Ang, median dev= 0.003 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r2: Arcline 7: lambda= 6217.28 Ang, median dev= 0.005 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 8: lambda= 6266.49 Ang, median dev= 0.002 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r2: Arcline 9: lambda= 6304.79 Ang, median dev= 0.011 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 10: lambda= 6334.43 Ang, median dev= -0.004 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 11: lambda= 6382.99 Ang, median dev= 0.003 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 12: lambda= 6402.25 Ang, median dev= -0.010 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r2: Arcline 13: lambda= 6506.53 Ang, median dev= -0.002 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 14: lambda= 6532.88 Ang, median dev= 0.011 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 15: lambda= 6598.95 Ang, median dev= 0.003 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r2: Arcline 16: lambda= 6717.04 Ang, median dev= -0.002 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 17: lambda= 6929.47 Ang, median dev= -0.005 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 18: lambda= 7173.94 Ang, median dev= 0.004 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r2: Arcline 19: lambda= 7245.17 Ang, median dev= -0.012 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r2: Arcline 20: lambda= 7438.90 Ang, median dev= -0.002 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r2: Arcline 21: lambda= 7488.87 Ang, median dev= 0.005 pix, sigma dev= 0.017 pix QAPLOT_ARCLINE: r2: Arcline 22: lambda= 7535.77 Ang, median dev= 0.014 pix, sigma dev= 0.020 pix QAPLOT_ARCLINE: r2: Arcline 23: lambda= 7635.11 Ang, median dev= 0.026 pix, sigma dev= 0.035 pix QAPLOT_ARCLINE: r2: Arcline 24: lambda= 8014.79 Ang, median dev= 0.014 pix, sigma dev= 0.083 pix QAPLOT_ARCLINE: r2: Arcline 25: lambda= 8103.69 Ang, median dev= 0.011 pix, sigma dev= 0.056 pix QAPLOT_ARCLINE: r2: Arcline 26: lambda= 8300.33 Ang, median dev= 0.035 pix, sigma dev= 0.024 pix QAPLOT_ARCLINE: r2: Arcline 27: lambda= 8377.61 Ang, median dev= -0.031 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: r2: Arcline 28: lambda= 8495.36 Ang, median dev= -0.006 pix, sigma dev= 0.016 pix QAPLOT_ARCLINE: r2: Arcline 29: lambda= 8591.26 Ang, median dev= -0.004 pix, sigma dev= 0.028 pix QAPLOT_ARCLINE: r2: Arcline 30: lambda= 8634.65 Ang, median dev= -0.002 pix, sigma dev= 0.029 pix QAPLOT_ARCLINE: r2: Arcline 31: lambda= 8654.38 Ang, median dev= 0.029 pix, sigma dev= 0.019 pix QAPLOT_ARCLINE: r2: Arcline 32: lambda= 8853.87 Ang, median dev= -0.007 pix, sigma dev= 0.040 pix QAPLOT_ARCLINE: r2: Arcline 33: lambda= 9122.97 Ang, median dev= -0.005 pix, sigma dev= 0.098 pix SPREDUCE: sdR-r2-00034675.fit: Reading object sdR-r2-00034675.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034675.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034675.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034675.fit: Measured read-noise in DN for amp# 2 = 4.44891 SDSSPROC: sdR-r2-00034675.fit: Measured bias value in DN for amp# 2 = 469.069 SDSSPROC: sdR-r2-00034675.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034675.fit: Amp #2 Number of pix below bias-5*sigma= 447. DN is 0 SDSSPROC: sdR-r2-00034675.fit: Measured read-noise in DN for amp# 3 = 3.73058 SDSSPROC: sdR-r2-00034675.fit: Measured bias value in DN for amp# 3 = 1317.46 SDSSPROC: sdR-r2-00034675.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034675.fit: Amp #3 Number of pix below bias-5*sigma= 1297. DN is 0 SDSSPROC: sdR-r2-00034675.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034675.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034675.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034675.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034675.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034675.fit: Science 25-th-percentile = 220.695 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202 EXTRACT_OBJECT: sdR-r2-00034675.fit: Whopping fibers: -1 EXTRACT_OBJECT: sdR-r2-00034675.fit: Median counts in all fibers = 4223.36 EXTRACT_OBJECT: sdR-r2-00034675.fit: Number of bright fibers = 0 EXTRACT_OBJECT: sdR-r2-00034675.fit: Sky fiber median 549.466 EXTRACT_OBJECT: sdR-r2-00034675.fit: 5% and 95% count levels 524.107 7291.30 MATCH_TRACE: sdR-r2-00034675.fit: Iteration: 0 Pixels Rejected: 3284 Finished? 0 MATCH_TRACE: sdR-r2-00034675.fit: Iteration: 1 Pixels Rejected: 16 Finished? 0 MATCH_TRACE: sdR-r2-00034675.fit: Iteration: 2 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r2-00034675.fit: Shifting traces by match_trace -0.00842285 EXTRACT_OBJECT: sdR-r2-00034675.fit: Extracting frame sdR-r2-00034675.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034675.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 2 0.92 2.05 .0004 1 0.92 1.99 .0005 1 0.92 2.20 .0006 2 0.92 2.09 .0007 2 0.92 1.95 .0008 3 0.92 2.11 .0009 3 0.92 1.95 .0010 1 0.92 2.19 .0011 1 0.92 2.05 .0012 1 0.92 2.07 .0013 1 0.92 2.19 .0014 1 0.92 2.12 .0015 1 0.92 2.10 .0016 1 0.92 2.24 .0017 1 0.92 2.09 .0018 1 0.92 2.13 .0019 2 0.92 2.32 .0020 2 0.92 2.15 .0021 3 0.92 2.12 .0022 2 0.92 2.19 .0023 1 0.92 2.20 .0024 1 0.92 2.18 .0025 1 0.92 2.12 .0026 1 0.92 2.14 .0027 1 0.92 2.26 .0028 1 0.92 2.04 .0029 2 0.92 2.21 .0030 3 0.92 2.10 .0031 2 0.92 2.13 .0032 2 0.92 2.18 .0033 1 0.92 2.10 .0034 1 0.92 2.16 .0035 1 0.92 2.35 .0036 2 0.92 2.26 .0037 3 0.92 2.13 .0038 2 0.92 2.31 .0039 1 0.92 2.27 .0040 1 0.92 2.28 .0041 1 0.92 2.39 .0042 1 0.92 2.29 .0043 1 0.92 2.27 .0044 1 0.92 2.30 .0045 2 0.92 2.19 .0046 2 0.92 2.37 .0047 2 0.92 2.29 .0048 2 0.92 2.21 .0049 3 0.92 2.21 .0050 3 0.92 2.50 .0051 2 0.92 2.19 .0052 1 0.92 2.41 .0053 5 0.92 2.18 .0054 3 0.92 2.18 .0055 3 0.92 2.10 .0056 3 0.92 2.24 .0057 2 0.92 2.09 .0058 2 0.92 2.36 .0059 3 0.92 2.32 .0060 2 0.92 2.13 .0061 2 0.92 2.30 .0062 3 0.92 2.17 .0063 2 0.92 2.10 .0064 2 0.92 2.29 .0065 3 0.92 2.47 .0066 4 0.92 2.27 .0067 2 0.92 2.28 .0068 2 0.92 2.22 .0069 2 0.92 2.23 .0070 2 0.92 2.29 .0071 2 0.92 2.26 .0072 2 0.92 2.16 .0073 2 0.92 2.26 .0074 2 0.92 2.22 .0075 2 0.92 2.44 .0076 3 0.92 2.31 .0077 3 0.92 2.43 .0078 3 0.92 2.15 .0079 2 0.92 2.27 .0080 2 0.92 2.38 .0081 2 0.92 2.31 .0082 2 0.92 2.33 .0083 2 0.92 2.24 .0084 2 0.92 2.29 .0085 2 0.92 2.37 .0086 2 0.92 2.30 .0087 2 0.92 2.26 .0088 2 0.92 2.28 .0089 2 0.92 2.30 .0090 3 0.92 2.24 .0091 2 0.92 2.41 .0092 2 0.92 2.55 .0093 2 0.92 2.33 .0094 2 0.92 2.24 .0095 2 0.92 2.39 .0096 2 0.92 2.37 .0097 2 0.92 2.40 .0098 2 0.92 2.40 .0099 3 0.92 2.54 .0100 2 0.92 2.70 .0101 2 0.92 2.58 .0102 2 0.92 2.40 .0103 2 0.92 2.43 .0104 2 0.92 2.42 .0105 2 0.92 2.70 .0106 3 0.92 2.46 .0107 2 0.92 3.04 .0108 3 0.92 2.31 .0109 3 0.92 2.38 .0110 3 0.92 2.36 .0111 3 0.92 2.41 .0112 4 0.92 2.31 .0113 4 0.92 2.41 .0114 3 0.92 2.35 .0115 3 0.92 2.56 .0116 3 0.92 2.37 .0117 3 0.92 2.55 .0118 3 0.92 2.45 .0119 3 0.92 2.42 .0120 2 0.92 2.64 .0121 2 0.92 2.53 .0122 2 0.92 2.47 .0123 2 0.92 2.60 .0124 2 0.92 2.41 .0125 2 0.92 2.47 .0126 2 0.92 2.51 .0127 2 0.92 2.41 .0128 2 0.92 2.55 .0129 2 0.92 2.56 .0130 2 0.92 2.45 .0131 2 0.92 2.64 .0132 2 0.92 2.68 .0133 2 0.92 2.69 .0134 2 0.92 2.48 .0135 2 0.92 2.50 .0136 2 0.92 2.60 .0137 2 0.92 2.69 .0138 2 0.92 2.79 .0139 2 0.92 2.74 .0140 2 0.92 2.86 .0141 2 0.92 2.82 .0142 2 0.92 2.83 .0143 2 0.92 2.73 .0144 2 0.92 2.68 .0145 2 0.92 2.83 .0146 2 0.92 2.98 .0147 3 0.92 3.02 .0148 3 0.92 2.87 .0149 2 0.92 3.00 .0150 2 0.92 2.87 .0151 2 0.92 3.34 .0152 2 0.92 2.93 .0153 2 0.92 2.92 .0154 2 0.92 2.93 .0155 2 0.92 3.03 .0156 2 0.92 3.04 .0157 3 0.92 2.92 .0158 2 0.92 2.94 .0159 2 0.92 2.98 .0160 2 0.92 2.93 .0161 2 0.92 3.05 .0162 2 0.92 2.99 .0163 2 0.92 3.08 .0164 2 0.92 2.92 .0165 2 0.92 3.18 .0166 2 0.92 3.23 .0167 2 0.92 3.31 .0168 3 0.92 3.33 .0169 2 0.92 3.07 .0170 3 0.92 3.22 .0171 2 0.92 3.11 .0172 2 0.92 3.13 .0173 2 0.92 3.12 .0174 2 0.92 3.19 .0175 2 0.92 3.02 .0176 2 0.92 3.03 .0177 2 0.92 3.11 .0178 2 0.92 3.37 .0179 2 0.92 3.23 .0180 2 0.92 3.30 .0181 2 0.92 3.05 .0182 2 0.92 3.26 .0183 2 0.92 3.14 .0184 2 0.92 3.14 .0185 2 0.92 3.32 .0186 3 0.92 3.48 .0187 2 0.92 3.28 .0188 3 0.92 3.18 .0189 2 0.92 3.33 .0190 2 0.92 3.25 .0191 2 0.92 3.39 .0192 2 0.92 3.22 .0193 1 0.92 3.53 .0194 3 0.92 3.46 .0195 2 0.92 3.36 .0196 1 0.92 3.41 .0197 1 0.92 3.34 .0198 1 0.92 3.41 .0199 1 0.92 3.42 .0200 1 0.92 3.33 .0201 1 0.92 3.31 .0202 1 0.92 3.37 .0203 2 0.92 3.14 .0204 1 0.92 3.39 .0205 1 0.92 3.43 .0206 2 0.92 3.14 .0207 1 0.92 3.32 .0208 1 0.92 3.28 .0209 2 0.92 3.31 .0210 2 0.92 3.36 .0211 2 0.92 3.24 .0212 2 0.92 3.08 .0213 2 0.92 3.25 .0214 2 0.92 3.29 .0215 2 0.92 3.32 .0216 2 0.92 3.35 .0217 3 0.92 3.19 .0218 3 0.92 3.41 .0219 2 0.92 3.22 .0220 3 0.92 3.51 .0221 3 0.92 3.35 .0222 1 0.92 3.01 .0223 1 0.92 3.21 .0224 1 0.92 3.29 .0225 3 0.92 3.09 .0226 2 0.92 3.37 .0227 2 0.92 3.08 .0228 2 0.92 3.48 .0229 1 0.92 3.22 .0230 1 0.92 3.21 .0231 2 0.92 3.20 .0232 3 0.92 3.29 .0233 1 0.92 3.13 .0234 2 0.92 3.34 .0235 1 0.92 3.20 .0236 1 0.92 3.15 .0237 1 0.92 3.30 .0238 1 0.92 3.20 .0239 1 0.92 3.17 .0240 1 0.92 3.42 .0241 1 0.92 3.32 .0242 1 0.92 3.08 .0243 1 0.92 3.20 .0244 2 0.92 3.43 .0245 2 0.92 3.54 .0246 3 0.92 3.66 .0247 3 0.92 3.50 .0248 1 0.92 3.29 .0249 1 0.92 3.24 .0250 1 0.92 3.48 .0251 3 0.92 3.41 .0252 2 0.92 3.54 .0253 1 0.92 3.26 .0254 1 0.92 3.33 .0255 2 0.92 3.20 .0256 1 0.92 3.42 .0257 1 0.92 3.26 .0258 2 0.92 3.38 .0259 1 0.92 3.25 .0260 1 0.92 3.37 .0261 1 0.92 3.30 .0262 2 0.92 3.60 .0263 1 0.92 3.64 .0264 1 0.92 3.53 .0265 2 0.92 3.31 .0266 1 0.92 3.42 .0267 2 0.92 3.41 .0268 1 0.92 3.46 .0269 1 0.92 3.62 .0270 2 0.92 3.45 .0271 2 0.92 3.63 .0272 1 0.92 3.44 .0273 1 0.92 3.78 .0274 2 0.92 3.77 .0275 1 0.92 3.50 .0276 1 0.92 3.58 .0277 1 0.92 3.59 .0278 1 0.92 3.87 .0279 1 0.92 3.82 .0280 3 0.92 3.68 .0281 1 0.92 3.70 .0282 1 0.92 3.69 .0283 1 0.92 3.92 .0284 1 0.92 3.80 .0285 1 0.92 3.61 .0286 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3.73 .0342 2 0.92 3.74 .0343 2 0.92 3.68 .0344 2 0.92 3.64 .0345 2 0.92 3.75 .0346 2 0.92 3.75 .0347 2 0.92 3.82 .0348 2 0.92 3.64 .0349 2 0.92 3.62 .0350 2 0.92 3.62 .0351 2 0.92 3.62 .0352 2 0.92 3.78 .0353 2 0.92 3.65 .0354 2 0.92 3.62 .0355 2 0.92 3.71 .0356 2 0.92 3.74 .0357 3 0.92 3.89 .0358 2 0.92 4.08 .0359 2 0.92 3.53 .0360 2 0.92 4.19 .0361 2 0.92 3.67 .0362 2 0.92 3.61 .0363 2 0.92 3.79 .0364 2 0.92 3.56 .0365 2 0.92 3.77 .0366 3 0.92 3.87 .0367 2 0.92 3.78 .0368 2 0.92 3.44 .0369 2 0.92 3.57 .0370 2 0.92 3.77 .0371 3 0.92 3.69 .0372 3 0.92 3.59 .0373 2 0.92 3.64 .0374 2 0.92 3.74 .0375 2 0.92 3.71 .0376 2 0.92 3.81 .0377 2 0.92 3.74 .0378 2 0.92 3.56 .0379 2 0.92 3.58 .0380 2 0.92 3.76 .0381 2 0.92 3.73 .0382 2 0.92 3.49 .0383 2 0.92 3.66 .0384 2 0.92 3.58 .0385 2 0.92 3.66 .0386 2 0.92 3.64 .0387 2 0.92 3.60 .0388 2 0.92 3.53 .0389 3 0.92 3.78 .0390 2 0.92 3.68 .0391 2 0.92 3.75 .0392 2 0.92 3.76 .0393 2 0.92 3.72 .0394 2 0.92 3.70 .0395 2 0.92 3.90 .0396 2 0.92 3.68 .0397 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2.24 .1452 1 0.92 2.19 .1453 1 0.92 2.16 .1454 2 0.92 2.11 .1455 3 0.92 2.16 .1456 2 0.92 2.16 .1457 2 0.92 2.22 .1458 2 0.92 2.10 .1459 1 0.92 2.20 .1460 2 0.92 2.37 .1461 1 0.92 2.20 .1462 1 0.92 2.01 .1463 1 0.92 2.12 .1464 1 0.92 2.20 .1465 1 0.92 2.04 .1466 1 0.92 2.18 .1467 1 0.92 2.16 .1468 2 0.92 2.21 .1469 1 0.92 1.94 .1470 2 0.92 2.15 .1471 1 0.92 2.11 .1472 2 0.92 2.14 .1473 2 0.92 2.22 .1474 3 0.92 2.10 .1475 3 0.92 2.14 .1476 1 0.92 2.21 .1477 2 0.92 2.05 .1478 2 0.92 2.25 .1479 4 0.92 2.29 .1480 3 0.92 2.24 .1481 2 0.92 2.11 .1482 1 0.92 2.11 .1483 1 0.92 2.17 .1484 2 0.92 2.28 .1485 1 0.92 2.12 .1486 1 0.92 2.07 .1487 1 0.92 2.06 .1488 2 0.92 2.07 .1489 3 0.92 2.05 .1490 3 0.92 2.24 .1491 2 0.92 2.39 .1492 2 0.92 2.26 .1493 1 0.92 2.12 .1494 3 0.92 2.10 .1495 2 0.92 2.06 .1496 1 0.92 2.22 .1497 1 0.92 2.09 .1498 1 0.92 2.04 .1499 2 0.92 2.20 .1500 2 0.92 2.40 .1501 2 0.92 2.29 .1502 2 0.92 2.22 .1503 1 0.92 2.03 .1504 1 0.92 2.13 .1505 1 0.92 2.09 .1506 1 0.92 2.05 .1507 3 0.92 2.13 .1508 2 0.92 2.09 .1509 2 0.92 2.11 .1510 1 0.92 2.12 .1511 1 0.92 2.09 .1512 1 0.92 2.05 .1513 1 0.92 2.09 .1514 2 0.92 2.06 .1515 3 0.92 1.91 .1516 3 0.92 2.18 .1517 5 0.92 2.11 .1518 2 0.92 2.68 .1519 1 0.92 2.14 .1520 1 0.92 2.05 .1521 2 0.92 2.16 .1522 1 0.92 1.96 .1523 1 0.92 2.00 .1524 1 0.92 2.19 .1525 3 0.92 1.99 .1526 1 0.92 2.02 .1527 1 0.92 2.15 .1528 2 0.92 2.17 .1529 1 0.92 2.06 .1530 1 0.92 2.18 .1531 2 0.92 2.07 .1532 3 0.92 2.08 .1533 2 0.92 2.19 .1534 1 0.92 2.07 .1535 2 0.92 2.05 .1536 1 0.92 2.01 .1537 2 0.92 2.10 .1538 3 0.92 2.32 .1539 2 0.92 2.11 .1540 2 0.92 2.09 .1541 1 0.92 2.02 .1542 1 0.92 2.12 .1543 1 0.92 2.27 .1544 2 0.92 2.12 .1545 2 0.92 2.11 .1546 4 0.92 2.14 .1547 2 0.92 2.04 .1548 2 0.92 1.95 .1549 2 0.92 2.33 .1550 4 0.92 2.15 .1551 1 0.92 2.22 .1552 2 0.92 2.31 .1553 1 0.92 2.25 .1554 1 0.92 2.22 .1555 1 0.92 2.22 .1556 2 0.92 2.23 .1557 1 0.92 2.32 .1558 2 0.92 2.34 .1559 2 0.92 2.12 .1560 1 0.92 2.13 .1561 4 0.92 2.21 .1562 4 0.92 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3 0.93 2.23 .1619 1 0.93 2.13 .1620 1 0.93 2.03 .1621 1 0.93 2.16 .1622 1 0.93 2.12 .1623 1 0.93 1.96 .1624 2 0.93 2.21 .1625 3 0.93 2.14 .1626 1 0.93 2.10 .1627 1 0.93 1.94 .1628 1 0.93 2.08 .1629 2 0.93 2.19 .1630 1 0.93 2.07 .1631 2 0.93 2.25 .1632 1 0.93 2.02 .1633 1 0.93 2.19 .1634 2 0.93 2.14 .1635 2 0.93 1.95 .1636 1 0.93 2.06 .1637 1 0.93 2.07 .1638 1 0.93 2.05 .1639 1 0.93 2.04 .1640 1 0.93 1.99 .1641 1 0.93 1.98 .1642 2 0.93 1.89 .1643 3 0.93 2.00 .1644 3 0.93 1.99 .1645 1 0.93 1.93 .1646 1 0.93 2.06 .1647 2 0.93 2.05 .1648 2 0.93 2.04 .1649 1 0.93 2.00 .1650 1 0.93 2.01 .1651 1 0.93 1.97 .1652 2 0.93 1.91 .1653 1 0.93 1.92 .1654 3 0.93 1.82 .1655 1 0.93 1.96 .1656 1 0.93 1.93 .1657 1 0.93 1.83 .1658 1 0.93 2.01 .1659 1 0.93 2.06 .1660 1 0.93 1.93 .1661 1 0.93 2.06 .1662 1 0.93 1.93 .1663 1 0.93 2.01 .1664 3 0.93 1.97 .1665 3 0.93 1.96 .1666 3 0.93 1.93 .1667 1 0.93 2.05 .1668 1 0.93 1.83 .1669 4 0.93 1.91 .1670 5 0.93 1.91 .1671 1 0.93 1.97 .1672 1 0.93 2.14 .1673 2 0.93 2.15 .1674 1 0.93 1.91 .1675 1 0.93 2.16 .1676 2 0.93 1.80 .1677 1 0.93 1.85 .1678 1 0.93 1.92 .1679 1 0.93 1.91 .1680 1 0.93 1.99 .1681 2 0.93 1.92 .1682 2 0.93 2.00 .1683 4 0.93 2.30 .1684 3 0.93 2.06 .1685 2 0.93 1.99 .1686 2 0.93 1.92 .1687 1 0.93 2.03 .1688 1 0.93 1.92 .1689 2 0.93 1.89 .1690 1 0.93 1.96 .1691 1 0.93 1.91 .1692 1 0.93 2.04 .1693 1 0.93 1.99 .1694 1 0.93 2.01 .1695 3 0.93 1.96 .1696 4 0.93 1.93 .1697 1 0.93 1.78 .1698 2 0.93 1.86 .1699 2 0.93 1.84 .1700 1 0.93 1.94 .1701 1 0.93 2.03 .1702 4 0.93 1.90 .1703 6 0.93 1.90 .1704 2 0.93 2.08 .1705 1 0.93 1.86 .1706 3 0.93 2.03 .1707 3 0.93 1.88 .1708 1 0.93 1.90 .1709 1 0.93 1.92 .1710 2 0.93 1.94 .1711 1 0.93 1.97 .1712 3 0.93 1.92 .1713 2 0.93 2.01 .1714 2 0.93 1.95 .1715 3 0.93 1.93 .1716 2 0.93 1.89 .1717 2 0.93 1.97 .1718 2 0.93 1.93 .1719 2 0.93 1.82 .1720 1 0.93 1.83 .1721 1 0.93 1.87 .1722 1 0.93 1.87 .1723 2 0.93 1.89 .1724 1 0.93 1.88 .1725 1 0.93 1.88 .1726 3 0.93 1.97 .1727 1 0.93 1.87 .1728 2 0.93 1.88 .1729 3 0.93 1.85 .1730 3 0.93 1.72 .1731 2 0.93 1.81 .1732 3 0.93 1.90 .1733 3 0.93 1.90 .1734 2 0.93 1.90 .1735 1 0.93 1.84 .1736 1 0.93 2.05 .1737 4 0.93 1.82 .1738 1 0.93 1.68 .1739 1 0.93 1.79 .1740 2 0.93 1.93 .1741 2 0.93 1.97 .1742 1 0.93 1.75 .1743 1 0.93 1.93 .1744 1 0.93 1.83 .1745 1 0.93 1.87 .1746 1 0.93 1.83 .1747 1 0.93 1.90 .1748 2 0.93 1.90 .1749 1 0.93 1.95 .1750 2 0.93 1.81 .1751 1 0.93 1.86 .1752 1 0.93 1.89 .1753 1 0.93 1.82 .1754 1 0.93 1.84 .1755 2 0.93 1.97 .1756 1 0.93 1.93 .1757 2 0.93 1.89 .1758 2 0.93 1.75 .1759 2 0.93 1.84 .1760 2 0.93 1.89 .1761 2 0.93 2.00 .1762 3 0.93 1.96 .1763 3 0.93 1.88 .1764 2 0.93 1.94 .1765 1 0.93 1.87 .1766 1 0.93 1.74 .1767 1 0.93 1.88 .1768 1 0.93 1.74 .1769 1 0.93 1.83 .1770 3 0.93 1.83 .1771 1 0.93 1.81 .1772 1 0.93 1.87 .1773 1 0.93 1.99 .1774 2 0.93 1.97 .1775 2 0.93 1.89 .1776 1 0.93 1.91 .1777 1 0.93 1.89 .1778 1 0.93 1.79 .1779 1 0.93 1.88 .1780 1 0.93 1.89 .1781 1 0.93 1.92 .1782 2 0.93 2.01 .1783 1 0.93 1.83 .1784 1 0.93 1.88 .1785 3 0.93 1.90 .1786 3 0.93 1.93 .1787 4 0.93 1.91 .1788 2 0.93 1.99 .1789 3 0.93 1.89 .1790 2 0.93 1.96 .1791 1 0.93 1.93 .1792 2 0.93 2.04 .1793 1 0.93 2.01 .1794 1 0.93 1.89 .1795 2 0.93 1.87 .1796 1 0.93 1.95 .1797 1 0.93 1.90 .1798 1 0.93 1.86 .1799 1 0.93 1.78 .1800 1 0.93 2.08 .1801 1 0.93 2.07 .1802 2 0.93 1.99 .1803 3 0.93 1.89 .1804 2 0.93 2.07 .1805 2 0.93 1.99 .1806 1 0.93 1.90 .1807 2 0.93 1.92 .1808 1 0.93 1.90 .1809 2 0.93 1.89 .1810 2 0.93 1.97 .1811 1 0.93 2.00 .1812 2 0.94 1.92 .1813 1 0.94 2.08 .1814 2 0.94 2.10 .1815 2 0.94 2.10 .1816 2 0.94 1.89 .1817 2 0.94 2.06 .1818 2 0.94 1.95 .1819 3 0.94 1.94 .1820 3 0.94 1.98 .1821 1 0.94 1.99 .1822 2 0.94 1.94 .1823 2 0.94 2.00 .1824 2 0.94 1.90 .1825 1 0.94 1.82 .1826 1 0.94 2.01 .1827 2 0.94 2.07 .1828 1 0.94 1.98 .1829 2 0.94 1.86 .1830 2 0.94 1.89 .1831 1 0.94 1.85 .1832 2 0.94 2.30 .1833 3 0.94 2.07 .1834 2 0.94 1.95 .1835 2 0.94 1.84 .1836 3 0.94 1.84 .1837 3 0.94 1.72 .1838 3 0.94 1.88 .1839 4 0.94 1.81 .1840 2 0.94 1.89 .1841 2 0.94 1.75 .1842 2 0.94 1.76 .1843 1 0.94 1.95 .1844 1 0.94 1.96 .1845 3 0.94 1.82 .1846 1 0.94 1.97 .1847 1 0.94 1.87 .1848 2 0.94 1.92 .1849 2 0.94 1.94 .1850 3 0.94 1.92 .1851 3 0.94 1.97 .1852 4 0.94 1.84 .1853 2 0.94 1.96 .1854 1 0.94 2.07 .1855 1 0.94 2.02 .1856 1 0.94 1.99 .1857 1 0.94 1.98 .1858 1 0.94 1.92 .1859 2 0.94 1.97 .1860 2 0.94 1.93 .1861 2 0.94 2.14 .1862 4 0.94 2.04 .1863 3 0.94 2.16 .1864 3 0.94 1.97 .1865 4 0.94 1.92 .1866 3 0.94 2.06 .1867 5 0.94 1.95 .1868 4 0.94 2.25 .1869 2 0.94 2.02 .1870 1 0.94 2.08 .1871 2 0.94 1.95 .1872 1 0.94 1.97 .1873 2 0.94 2.05 .1874 2 0.94 1.95 .1875 3 0.94 1.80 .1876 2 0.94 2.03 .1877 3 0.94 2.06 .1878 1 0.94 1.90 .1879 1 0.94 1.98 .1880 1 0.94 2.00 .1881 2 0.94 1.93 .1882 3 0.94 2.16 .1883 2 0.94 2.05 .1884 2 0.94 2.03 .1885 3 0.94 1.94 .1886 3 0.94 1.92 .1887 2 0.94 1.96 .1888 1 0.94 1.92 .1889 2 0.94 1.94 .1890 1 0.94 1.88 .1891 2 0.94 1.85 .1892 2 0.94 1.81 .1893 1 0.94 1.89 .1894 1 0.94 1.95 .1895 1 0.94 1.85 .1896 1 0.94 2.07 .1897 2 0.94 1.87 .1898 2 0.94 1.84 .1899 1 0.94 1.84 .1900 1 0.94 1.84 .1901 1 0.94 1.87 .1902 2 0.94 1.90 .1903 2 0.94 1.90 .1904 1 0.94 1.84 .1905 1 0.94 1.77 .1906 3 0.94 1.92 .1907 1 0.94 1.88 .1908 1 0.94 1.81 .1909 2 0.94 1.70 .1910 1 0.94 1.78 .1911 1 0.94 1.70 .1912 1 0.94 1.76 .1913 1 0.94 1.81 .1914 1 0.94 1.75 .1915 1 0.94 1.51 .1916 2 0.94 1.73 .1917 3 0.94 1.61 .1918 1 0.94 1.80 .1919 3 0.94 1.68 .1920 3 0.94 1.69 .1921 1 0.94 1.55 .1922 2 0.94 1.56 .1923 2 0.94 1.57 .1924 2 0.94 1.73 .1925 3 0.94 1.74 .1926 1 0.94 1.72 .1927 1 0.94 1.67 .1928 2 0.94 1.71 .1929 1 0.94 1.62 .1930 2 0.94 1.94 .1931 2 0.94 1.94 .1932 2 0.94 1.78 .1933 2 0.94 1.77 .1934 1 0.94 1.73 .1935 1 0.94 1.76 .1936 1 0.94 1.86 .1937 1 0.94 1.74 .1938 1 0.94 1.80 .1939 1 0.94 1.77 .1940 1 0.94 1.67 .1941 1 0.94 1.77 .1942 1 0.94 1.78 .1943 1 0.94 1.81 .1944 1 0.94 1.72 .1945 1 0.94 1.69 .1946 1 0.94 1.73 .1947 1 0.94 1.83 .1948 1 0.94 1.82 .1949 1 0.94 1.74 .1950 2 0.94 1.62 .1951 2 0.94 1.81 .1952 1 0.94 1.78 .1953 1 0.94 1.74 .1954 1 0.94 1.69 .1955 1 0.94 1.81 .1956 1 0.94 1.80 .1957 1 0.94 1.70 .1958 1 0.94 1.84 .1959 2 0.94 1.69 .1960 3 0.94 1.73 .1961 3 0.94 1.86 .1962 2 0.94 1.78 .1963 1 0.94 1.77 .1964 2 0.94 1.69 .1965 2 0.94 1.76 .1966 1 0.93 1.71 .1967 3 0.93 1.73 .1968 1 0.93 1.93 .1969 1 0.93 1.78 .1970 1 0.93 1.73 .1971 3 0.93 1.72 .1972 2 0.93 1.61 .1973 1 0.93 1.70 .1974 1 0.93 1.83 .1975 3 0.93 1.84 .1976 4 0.93 1.76 .1977 3 0.93 1.72 .1978 3 0.93 1.75 .1979 3 0.93 1.74 .1980 1 0.93 1.66 .1981 2 0.93 1.73 .1982 2 0.93 1.75 .1983 1 0.93 1.74 .1984 2 0.93 1.89 .1985 2 0.93 1.87 .1986 1 0.93 1.74 .1987 1 0.93 1.64 .1988 1 0.93 1.67 .1989 3 0.93 1.79 .1990 2 0.93 1.80 .1991 1 0.93 1.65 .1992 1 0.93 1.62 .1993 1 0.93 1.76 .1994 1 0.93 1.70 .1995 2 0.93 1.67 .1996 1 0.93 1.72 .1997 2 0.93 1.59 .1998 2 0.93 1.65 .1999 2 0.93 1.63 .2000 2 0.93 1.86 .2001 2 0.93 1.66 .2002 3 0.93 1.66 .2003 2 0.93 1.65 .2004 2 0.93 1.66 .2005 2 0.93 1.59 .2006 1 0.93 1.82 .2007 1 0.93 1.72 .2008 2 0.93 1.67 .2009 2 0.93 1.67 .2010 2 0.93 1.69 .2011 3 0.93 1.70 .2012 4 0.93 1.76 .2013 3 0.93 1.61 .2014 2 0.93 1.81 .2015 3 0.93 1.63 .2016 2 0.93 1.70 .2017 1 0.93 1.73 .2018 2 0.93 1.83 .2019 1 0.93 1.63 .2020 1 0.93 1.80 .2021 1 0.93 1.71 .2022 2 0.93 1.63 .2023 1 0.93 1.50 .2024 2 0.93 1.63 .2025 1 0.93 1.61 .2026 2 0.93 1.68 .2027 2 0.93 1.70 .2028 3 0.93 1.53 .2029 2 0.93 1.72 .2030 5 0.93 1.58 .2031 2 0.93 1.72 .2032 3 0.93 1.59 .2033 3 0.93 1.71 .2034 2 0.93 1.77 .2035 2 0.93 1.57 .2036 2 0.93 1.57 .2037 2 0.93 1.65 .2038 3 0.93 1.57 .2039 1 0.93 1.59 .2040 1 0.93 1.57 .2041 1 0.93 1.48 .2042 1 0.93 1.64 .2043 1 0.93 1.51 .2044 1 0.93 1.67 .2045 2 0.93 1.54 .2046 2 0.93 1.64 .2047 2 0.93 1.56 EXTRACT_IMAGE: sdR-r2-00034675.fit: masked 1877 pixels EXTRACT_OBJECT: sdR-r2-00034675.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034675.fit: WARNING: Scattered light median = 64.0500 electrons QAPLOT_SCATLIGHT: sdR-r2-00034675.fit: WARNING: Scattered light max = 118.576 electrons EXTRACT_OBJECT: sdR-r2-00034675.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034675.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034675.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034675.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.14 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.59 96 0.02 0.14 Step 36 of 2112 0.59 96 0.02 0.15 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.19 Step 84 of 2112 0.59 96 0.02 0.17 Step 92 of 2112 0.59 96 0.02 0.16 Step 100 of 2112 0.60 96 0.02 0.17 Step 108 of 2112 0.60 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.16 Step 124 of 2112 0.60 96 0.02 0.16 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.61 96 0.02 0.16 Step 172 of 2112 0.61 96 0.02 0.16 Step 180 of 2112 0.61 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.01 0.15 Step 212 of 2112 0.61 96 0.01 0.15 Step 220 of 2112 0.61 96 0.02 0.16 Step 228 of 2112 0.62 96 0.02 0.15 Step 236 of 2112 0.62 96 0.02 0.17 Step 244 of 2112 0.62 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.17 Step 260 of 2112 0.62 96 0.02 0.16 Step 268 of 2112 0.62 96 0.02 0.17 Step 276 of 2112 0.62 96 0.02 0.16 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.63 96 0.02 0.17 Step 300 of 2112 0.63 96 0.02 0.16 Step 308 of 2112 0.63 96 0.02 0.16 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.16 Step 340 of 2112 0.63 96 0.02 0.16 Step 348 of 2112 0.63 96 0.02 0.17 Step 356 of 2112 0.63 96 0.02 0.14 Step 364 of 2112 0.64 96 0.02 0.15 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.17 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.16 Step 412 of 2112 0.64 96 0.01 0.15 Step 420 of 2112 0.64 96 0.01 0.15 Step 428 of 2112 0.65 96 0.01 0.15 Step 436 of 2112 0.65 96 0.01 0.17 Step 444 of 2112 0.65 96 0.01 0.17 Step 452 of 2112 0.65 96 0.02 0.17 Step 460 of 2112 0.65 96 0.01 0.17 Step 468 of 2112 0.65 96 0.01 0.16 Step 476 of 2112 0.65 96 0.01 0.16 Step 484 of 2112 0.65 96 0.01 0.17 Step 492 of 2112 0.66 96 0.02 0.14 Step 500 of 2112 0.66 96 0.02 0.14 Step 508 of 2112 0.66 96 0.02 0.15 Step 516 of 2112 0.66 96 0.03 0.16 Step 524 of 2112 0.66 96 0.02 0.16 Step 532 of 2112 0.66 96 0.02 0.15 Step 540 of 2112 0.66 96 0.02 0.17 Step 548 of 2112 0.67 96 0.02 0.17 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.16 Step 572 of 2112 0.67 96 0.02 0.15 Step 580 of 2112 0.67 96 0.02 0.15 Step 588 of 2112 0.67 96 0.02 0.14 Step 596 of 2112 0.67 96 0.02 0.14 Step 604 of 2112 0.67 96 0.02 0.14 Step 612 of 2112 0.68 96 0.02 0.15 Step 620 of 2112 0.68 96 0.02 0.15 Step 628 of 2112 0.68 96 0.02 0.15 Step 636 of 2112 0.68 96 0.02 0.16 Step 644 of 2112 0.68 128 0.03 0.21 Step 652 of 2112 0.68 128 0.02 0.21 Step 660 of 2112 0.68 128 0.02 0.23 Step 668 of 2112 0.68 128 0.03 0.23 Step 676 of 2112 0.69 128 0.02 0.21 Step 684 of 2112 0.69 128 0.02 0.21 Step 692 of 2112 0.69 128 0.03 0.23 Step 700 of 2112 0.69 128 0.03 0.23 Step 708 of 2112 0.69 128 0.03 0.23 Step 716 of 2112 0.69 128 0.02 0.21 Step 724 of 2112 0.69 128 0.02 0.20 Step 732 of 2112 0.69 128 0.02 0.20 Step 740 of 2112 0.70 128 0.02 0.21 Step 748 of 2112 0.70 128 0.02 0.21 Step 756 of 2112 0.70 128 0.01 0.21 Step 764 of 2112 0.70 128 0.02 0.22 Step 772 of 2112 0.70 128 0.02 0.23 Step 780 of 2112 0.70 128 0.02 0.22 Step 788 of 2112 0.70 128 0.03 0.21 Step 796 of 2112 0.71 128 0.02 0.21 Step 804 of 2112 0.71 128 0.02 0.20 Step 812 of 2112 0.71 128 0.02 0.22 Step 820 of 2112 0.71 128 0.02 0.22 Step 828 of 2112 0.71 128 0.02 0.21 Step 836 of 2112 0.71 128 0.03 0.24 Step 844 of 2112 0.71 128 0.03 0.23 Step 852 of 2112 0.71 128 0.02 0.23 Step 860 of 2112 0.72 128 0.03 0.23 Step 868 of 2112 0.72 128 0.03 0.20 Step 876 of 2112 0.72 128 0.02 0.21 Step 884 of 2112 0.72 128 0.02 0.22 Step 892 of 2112 0.72 128 0.02 0.23 Step 900 of 2112 0.72 128 0.03 0.21 Step 908 of 2112 0.72 128 0.02 0.22 Step 916 of 2112 0.73 128 0.02 0.21 Step 924 of 2112 0.73 128 0.03 0.21 Step 932 of 2112 0.73 128 0.02 0.21 Step 940 of 2112 0.73 128 0.03 0.21 Step 948 of 2112 0.73 128 0.03 0.21 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.02 0.20 Step 972 of 2112 0.73 128 0.03 0.22 Step 980 of 2112 0.74 128 0.03 0.21 Step 988 of 2112 0.74 128 0.02 0.22 Step 996 of 2112 0.74 128 0.03 0.21 Step 1004 of 2112 0.74 128 0.03 0.22 Step 1012 of 2112 0.74 128 0.02 0.21 Step 1020 of 2112 0.74 128 0.03 0.22 Step 1028 of 2112 0.74 128 0.03 0.23 Step 1036 of 2112 0.75 128 0.03 0.22 Step 1044 of 2112 0.75 128 0.02 0.20 Step 1052 of 2112 0.75 128 0.02 0.22 Step 1060 of 2112 0.75 128 0.02 0.22 Step 1068 of 2112 0.75 128 0.02 0.20 Step 1076 of 2112 0.75 128 0.03 0.21 Step 1084 of 2112 0.75 128 0.02 0.21 Step 1092 of 2112 0.75 160 0.02 0.34 Step 1100 of 2112 0.76 160 0.03 0.33 Step 1108 of 2112 0.76 160 0.03 0.33 Step 1116 of 2112 0.76 160 0.03 0.33 Step 1124 of 2112 0.76 160 0.03 0.34 Step 1132 of 2112 0.76 160 0.03 0.34 Step 1140 of 2112 0.76 160 0.03 0.32 Step 1148 of 2112 0.76 160 0.03 0.35 Step 1156 of 2112 0.77 160 0.03 0.34 Step 1164 of 2112 0.77 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.33 Step 1180 of 2112 0.77 160 0.03 0.33 Step 1188 of 2112 0.77 160 0.03 0.33 Step 1196 of 2112 0.77 160 0.03 0.32 Step 1204 of 2112 0.77 160 0.03 0.32 Step 1212 of 2112 0.78 160 0.03 0.33 Step 1220 of 2112 0.78 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.32 Step 1236 of 2112 0.78 160 0.03 0.35 Step 1244 of 2112 0.78 160 0.03 0.34 Step 1252 of 2112 0.78 160 0.03 0.34 Step 1260 of 2112 0.78 160 0.03 0.35 Step 1268 of 2112 0.78 160 0.03 0.35 Step 1276 of 2112 0.79 160 0.03 0.36 Step 1284 of 2112 0.79 160 0.03 0.35 Step 1292 of 2112 0.79 160 0.03 0.34 Step 1300 of 2112 0.79 160 0.03 0.32 Step 1308 of 2112 0.79 160 0.03 0.33 Step 1316 of 2112 0.79 160 0.03 0.33 Step 1324 of 2112 0.79 160 0.03 0.35 Step 1332 of 2112 0.80 160 0.05 0.34 Step 1340 of 2112 0.80 160 0.03 0.34 Step 1348 of 2112 0.80 160 0.03 0.34 Step 1356 of 2112 0.80 160 0.03 0.34 Step 1364 of 2112 0.80 160 0.03 0.33 Step 1372 of 2112 0.80 160 0.03 0.32 Step 1380 of 2112 0.80 160 0.03 0.32 Step 1388 of 2112 0.81 160 0.03 0.33 Step 1396 of 2112 0.81 160 0.03 0.34 Step 1404 of 2112 0.81 160 0.03 0.32 Step 1412 of 2112 0.81 160 0.03 0.33 Step 1420 of 2112 0.81 160 0.03 0.33 Step 1428 of 2112 0.81 160 0.03 0.34 Step 1436 of 2112 0.81 160 0.03 0.34 Step 1444 of 2112 0.82 160 0.03 0.34 Step 1452 of 2112 0.82 192 0.04 0.37 Step 1460 of 2112 0.82 192 0.04 0.39 Step 1468 of 2112 0.82 192 0.04 0.38 Step 1476 of 2112 0.82 192 0.04 0.38 Step 1484 of 2112 0.82 192 0.02 0.37 Step 1492 of 2112 0.82 192 0.03 0.38 Step 1500 of 2112 0.82 192 0.03 0.38 Step 1508 of 2112 0.83 192 0.03 0.37 Step 1516 of 2112 0.83 192 0.03 0.36 Step 1524 of 2112 0.83 192 0.04 0.38 Step 1532 of 2112 0.83 192 0.04 0.36 Step 1540 of 2112 0.83 192 0.03 0.38 Step 1548 of 2112 0.83 192 0.04 0.37 Step 1556 of 2112 0.83 192 0.03 0.36 Step 1564 of 2112 0.84 192 0.03 0.37 Step 1572 of 2112 0.84 192 0.04 0.37 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.04 0.37 Step 1596 of 2112 0.84 192 0.04 0.38 Step 1604 of 2112 0.84 192 0.04 0.38 Step 1612 of 2112 0.84 192 0.04 0.40 Step 1620 of 2112 0.85 192 0.04 0.41 Step 1628 of 2112 0.85 192 0.03 0.39 Step 1636 of 2112 0.85 192 0.03 0.37 Step 1644 of 2112 0.85 192 0.04 0.36 Step 1652 of 2112 0.85 192 0.03 0.38 Step 1660 of 2112 0.85 192 0.05 0.38 Step 1668 of 2112 0.85 192 0.04 0.36 Step 1676 of 2112 0.86 192 0.05 0.38 Step 1684 of 2112 0.86 192 0.04 0.38 Step 1692 of 2112 0.86 192 0.04 0.39 Step 1700 of 2112 0.86 192 0.03 0.37 Step 1708 of 2112 0.86 192 0.04 0.36 Step 1716 of 2112 0.86 192 0.04 0.37 Step 1724 of 2112 0.86 192 0.04 0.37 Step 1732 of 2112 0.87 192 0.04 0.39 Step 1740 of 2112 0.87 192 0.04 0.37 Step 1748 of 2112 0.87 224 0.04 0.48 Step 1756 of 2112 0.87 224 0.05 0.50 Step 1764 of 2112 0.87 224 0.05 0.49 Step 1772 of 2112 0.87 224 0.04 0.48 Step 1780 of 2112 0.87 224 0.04 0.48 Step 1788 of 2112 0.88 224 0.04 0.48 Step 1796 of 2112 0.88 224 0.05 0.47 Step 1804 of 2112 0.88 224 0.04 0.47 Step 1812 of 2112 0.88 224 0.04 0.47 Step 1820 of 2112 0.88 224 0.04 0.47 Step 1828 of 2112 0.88 224 0.05 0.50 Step 1836 of 2112 0.88 224 0.04 0.47 Step 1844 of 2112 0.89 224 0.04 0.47 Step 1852 of 2112 0.89 224 0.04 0.47 Step 1860 of 2112 0.89 224 0.05 0.48 Step 1868 of 2112 0.89 224 0.04 0.48 Step 1876 of 2112 0.89 224 0.04 0.48 Step 1884 of 2112 0.89 224 0.04 0.47 Step 1892 of 2112 0.89 224 0.04 0.47 Step 1900 of 2112 0.90 224 0.04 0.48 Step 1908 of 2112 0.90 224 0.04 0.53 Step 1916 of 2112 0.90 224 0.05 0.52 Step 1924 of 2112 0.90 224 0.03 0.48 Step 1932 of 2112 0.90 224 0.04 0.48 Step 1940 of 2112 0.90 224 0.04 0.49 Step 1948 of 2112 0.90 224 0.04 0.51 Step 1956 of 2112 0.91 224 0.03 0.52 Step 1964 of 2112 0.91 224 0.04 0.47 Step 1972 of 2112 0.91 224 0.04 0.50 Step 1980 of 2112 0.91 224 0.05 0.48 Step 1988 of 2112 0.91 224 0.04 0.49 Step 1996 of 2112 0.91 256 0.05 0.53 Step 2004 of 2112 0.91 256 0.06 0.54 Step 2012 of 2112 0.92 256 0.06 0.58 Step 2020 of 2112 0.92 256 0.05 0.51 Step 2028 of 2112 0.92 256 0.03 0.52 Step 2036 of 2112 0.92 256 0.03 0.49 Step 2044 of 2112 0.92 256 0.06 0.54 Step 2052 of 2112 0.92 256 0.05 0.51 Step 2060 of 2112 0.92 256 0.06 0.52 Step 2068 of 2112 0.93 256 0.05 0.52 Step 2076 of 2112 0.93 256 0.05 0.50 Step 2084 of 2112 0.93 256 0.05 0.55 Step 2092 of 2112 0.93 256 0.05 0.54 Step 2100 of 2112 0.93 256 0.05 0.51 Step 2108 of 2112 0.93 256 0.03 0.51 EXTRACT_OBJECT: sdR-r2-00034675.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 2 0.92 2.02 .0004 1 0.92 1.97 .0005 1 0.92 2.18 .0006 2 0.92 2.07 .0007 2 0.92 1.93 .0008 3 0.92 2.07 .0009 3 0.92 1.92 .0010 1 0.92 2.16 .0011 1 0.92 2.02 .0012 1 0.92 2.04 .0013 1 0.92 2.15 .0014 1 0.92 2.08 .0015 1 0.92 2.07 .0016 1 0.92 2.20 .0017 1 0.92 2.05 .0018 1 0.92 2.09 .0019 2 0.92 2.27 .0020 2 0.92 2.11 .0021 3 0.92 2.08 .0022 2 0.92 2.15 .0023 1 0.92 2.15 .0024 1 0.92 2.13 .0025 1 0.92 2.07 .0026 1 0.92 2.09 .0027 1 0.92 2.21 .0028 1 0.92 1.99 .0029 2 0.92 2.17 .0030 3 0.92 2.06 .0031 2 0.92 2.08 .0032 2 0.92 2.13 .0033 1 0.92 2.05 .0034 1 0.92 2.11 .0035 1 0.92 2.30 .0036 2 0.92 2.20 .0037 3 0.92 2.08 .0038 2 0.92 2.26 .0039 1 0.92 2.22 .0040 1 0.92 2.24 .0041 1 0.92 2.34 .0042 1 0.92 2.25 .0043 1 0.92 2.22 .0044 1 0.92 2.26 .0045 2 0.92 2.15 .0046 2 0.92 2.32 .0047 2 0.92 2.24 .0048 2 0.92 2.15 .0049 3 0.92 2.16 .0050 3 0.92 2.44 .0051 2 0.92 2.13 .0052 1 0.92 2.36 .0053 5 0.92 2.12 .0054 3 0.92 2.12 .0055 3 0.92 2.05 .0056 3 0.92 2.19 .0057 2 0.92 2.04 .0058 2 0.92 2.30 .0059 3 0.92 2.27 .0060 2 0.92 2.08 .0061 2 0.92 2.25 .0062 3 0.92 2.11 .0063 2 0.92 2.05 .0064 2 0.92 2.24 .0065 3 0.92 2.40 .0066 3 0.92 2.22 .0067 2 0.92 2.23 .0068 2 0.92 2.16 .0069 2 0.92 2.18 .0070 2 0.92 2.23 .0071 2 0.92 2.20 .0072 2 0.92 2.10 .0073 2 0.92 2.20 .0074 2 0.92 2.16 .0075 2 0.92 2.38 .0076 3 0.92 2.26 .0077 3 0.92 2.37 .0078 3 0.92 2.10 .0079 2 0.92 2.20 .0080 2 0.92 2.32 .0081 2 0.92 2.25 .0082 2 0.92 2.27 .0083 2 0.92 2.18 .0084 2 0.92 2.22 .0085 2 0.92 2.30 .0086 2 0.92 2.24 .0087 2 0.92 2.20 .0088 2 0.92 2.22 .0089 2 0.92 2.23 .0090 3 0.92 2.18 .0091 2 0.92 2.35 .0092 2 0.92 2.48 .0093 2 0.92 2.26 .0094 2 0.92 2.18 .0095 2 0.92 2.33 .0096 2 0.92 2.30 .0097 2 0.92 2.33 .0098 2 0.92 2.33 .0099 3 0.92 2.48 .0100 2 0.92 2.64 .0101 2 0.92 2.52 .0102 2 0.92 2.33 .0103 2 0.92 2.36 .0104 2 0.92 2.35 .0105 2 0.92 2.63 .0106 3 0.92 2.40 .0107 2 0.92 2.95 .0108 3 0.92 2.25 .0109 3 0.92 2.31 .0110 3 0.92 2.30 .0111 3 0.92 2.35 .0112 4 0.92 2.24 .0113 4 0.92 2.34 .0114 3 0.92 2.28 .0115 3 0.92 2.48 .0116 3 0.92 2.30 .0117 3 0.92 2.48 .0118 3 0.92 2.38 .0119 3 0.92 2.35 .0120 2 0.92 2.56 .0121 2 0.92 2.46 .0122 2 0.92 2.39 .0123 2 0.92 2.54 .0124 2 0.92 2.34 .0125 2 0.92 2.39 .0126 2 0.92 2.44 .0127 2 0.92 2.35 .0128 2 0.92 2.47 .0129 2 0.92 2.49 .0130 2 0.92 2.38 .0131 2 0.92 2.55 .0132 2 0.92 2.60 .0133 2 0.92 2.61 .0134 2 0.92 2.41 .0135 2 0.92 2.42 .0136 2 0.92 2.52 .0137 2 0.92 2.61 .0138 2 0.92 2.71 .0139 2 0.92 2.67 .0140 2 0.92 2.77 .0141 2 0.92 2.74 .0142 2 0.92 2.75 .0143 2 0.92 2.64 .0144 2 0.92 2.59 .0145 2 0.92 2.74 .0146 2 0.92 2.90 .0147 3 0.92 2.93 .0148 3 0.92 2.78 .0149 2 0.92 2.90 .0150 2 0.92 2.77 .0151 2 0.92 3.24 .0152 2 0.92 2.83 .0153 2 0.92 2.84 .0154 2 0.92 2.83 .0155 2 0.92 2.93 .0156 2 0.92 2.94 .0157 3 0.92 2.82 .0158 2 0.92 2.84 .0159 2 0.92 2.87 .0160 2 0.92 2.84 .0161 2 0.92 2.95 .0162 2 0.92 2.89 .0163 2 0.92 2.97 .0164 2 0.92 2.80 .0165 2 0.92 3.08 .0166 2 0.92 3.13 .0167 2 0.92 3.20 .0168 3 0.92 3.22 .0169 2 0.92 2.95 .0170 3 0.92 3.09 .0171 2 0.92 2.99 .0172 2 0.92 3.03 .0173 2 0.92 3.01 .0174 2 0.92 3.07 .0175 2 0.92 2.89 .0176 2 0.92 2.93 .0177 2 0.92 2.99 .0178 2 0.92 3.24 .0179 2 0.92 3.12 .0180 2 0.92 3.18 .0181 2 0.92 2.94 .0182 2 0.92 3.11 .0183 2 0.92 3.02 .0184 2 0.92 3.00 .0185 2 0.92 3.19 .0186 2 0.92 3.34 .0187 2 0.92 3.15 .0188 3 0.92 3.06 .0189 2 0.92 3.21 .0190 2 0.92 3.12 .0191 2 0.92 3.25 .0192 2 0.92 3.10 .0193 2 0.92 3.22 .0194 3 0.92 3.32 .0195 2 0.92 3.24 .0196 2 0.92 3.12 .0197 1 0.92 3.21 .0198 1 0.92 3.27 .0199 1 0.92 3.29 .0200 1 0.92 3.21 .0201 1 0.92 3.19 .0202 1 0.92 3.23 .0203 2 0.92 3.03 .0204 1 0.92 3.26 .0205 1 0.92 3.29 .0206 2 0.92 3.03 .0207 1 0.92 3.19 .0208 1 0.92 3.16 .0209 2 0.92 3.19 .0210 2 0.92 3.23 .0211 2 0.92 3.12 .0212 2 0.92 2.96 .0213 2 0.92 3.12 .0214 2 0.92 3.17 .0215 2 0.92 3.20 .0216 2 0.92 3.24 .0217 3 0.92 3.06 .0218 3 0.92 3.29 .0219 2 0.92 3.10 .0220 3 0.92 3.39 .0221 3 0.92 3.21 .0222 1 0.92 2.89 .0223 1 0.92 3.08 .0224 1 0.92 3.16 .0225 3 0.92 2.97 .0226 2 0.92 3.26 .0227 2 0.92 2.95 .0228 3 0.92 3.15 .0229 1 0.92 3.10 .0230 1 0.92 3.08 .0231 2 0.92 3.08 .0232 3 0.92 3.14 .0233 1 0.92 3.02 .0234 2 0.92 3.20 .0235 1 0.92 3.08 .0236 1 0.92 3.04 .0237 1 0.92 3.18 .0238 1 0.92 3.09 .0239 1 0.92 3.06 .0240 1 0.92 3.30 .0241 1 0.92 3.19 .0242 1 0.92 2.97 .0243 1 0.92 3.07 .0244 2 0.92 3.30 .0245 2 0.92 3.41 .0246 3 0.92 3.53 .0247 2 0.92 3.37 .0248 1 0.92 3.16 .0249 1 0.92 3.11 .0250 1 0.92 3.33 .0251 3 0.92 3.26 .0252 3 0.92 3.24 .0253 1 0.92 3.12 .0254 1 0.92 3.20 .0255 2 0.92 3.07 .0256 1 0.92 3.29 .0257 1 0.92 3.12 .0258 2 0.92 3.23 .0259 1 0.92 3.14 .0260 1 0.92 3.24 .0261 1 0.92 3.17 .0262 2 0.92 3.47 .0263 1 0.92 3.49 .0264 1 0.92 3.37 .0265 2 0.92 3.16 .0266 1 0.92 3.28 .0267 2 0.92 3.28 .0268 1 0.92 3.32 .0269 1 0.92 3.48 .0270 2 0.92 3.31 .0271 2 0.92 3.48 .0272 1 0.92 3.27 .0273 1 0.92 3.63 .0274 2 0.92 3.61 .0275 1 0.92 3.37 .0276 1 0.92 3.43 .0277 1 0.92 3.44 .0278 1 0.92 3.71 .0279 1 0.92 3.66 .0280 3 0.92 3.52 .0281 1 0.92 3.55 .0282 1 0.92 3.54 .0283 1 0.92 3.76 .0284 1 0.92 3.64 .0285 1 0.92 3.47 .0286 2 0.92 3.57 .0287 1 0.92 3.55 .0288 1 0.92 3.67 .0289 1 0.92 3.67 .0290 1 0.92 3.47 .0291 1 0.92 3.76 .0292 1 0.92 3.73 .0293 1 0.92 3.80 .0294 1 0.92 3.78 .0295 1 0.92 3.69 .0296 1 0.92 3.70 .0297 1 0.92 3.73 .0298 3 0.92 3.83 .0299 1 0.92 3.77 .0300 1 0.92 3.65 .0301 3 0.92 3.82 .0302 1 0.92 3.99 .0303 1 0.92 3.78 .0304 1 0.92 3.66 .0305 1 0.92 3.79 .0306 1 0.92 3.81 .0307 1 0.92 3.73 .0308 3 0.92 3.58 .0309 1 0.92 3.92 .0310 1 0.92 3.54 .0311 2 0.92 4.15 .0312 2 0.92 3.97 .0313 1 0.92 3.97 .0314 1 0.92 3.77 .0315 1 0.92 3.64 .0316 1 0.92 3.73 .0317 1 0.92 3.79 .0318 1 0.92 3.61 .0319 1 0.92 3.73 .0320 2 0.92 3.89 .0321 3 0.92 3.84 .0322 1 0.92 3.80 .0323 3 0.92 3.78 .0324 3 0.92 3.96 .0325 1 0.92 3.85 .0326 1 0.92 3.79 .0327 2 0.92 3.76 .0328 1 0.92 3.77 .0329 1 0.92 3.68 .0330 1 0.92 3.89 .0331 2 0.92 3.53 .0332 2 0.92 3.60 .0333 2 0.92 3.67 .0334 2 0.92 3.77 .0335 2 0.92 3.43 .0336 2 0.92 3.55 .0337 2 0.92 3.73 .0338 3 0.92 3.79 .0339 2 0.92 3.82 .0340 2 0.92 3.43 .0341 2 0.92 3.54 .0342 2 0.92 3.57 .0343 2 0.92 3.50 .0344 2 0.92 3.45 .0345 2 0.92 3.55 .0346 2 0.92 3.57 .0347 2 0.92 3.63 .0348 2 0.92 3.45 .0349 2 0.92 3.44 .0350 2 0.92 3.44 .0351 2 0.92 3.43 .0352 2 0.92 3.59 .0353 2 0.92 3.45 .0354 2 0.92 3.44 .0355 2 0.92 3.52 .0356 2 0.92 3.55 .0357 3 0.92 3.72 .0358 2 0.92 3.91 .0359 2 0.92 3.35 .0360 2 0.92 4.00 .0361 2 0.92 3.49 .0362 2 0.92 3.44 .0363 2 0.92 3.60 .0364 2 0.92 3.39 .0365 2 0.92 3.59 .0366 3 0.92 3.50 .0367 2 0.92 3.59 .0368 2 0.92 3.26 .0369 2 0.92 3.38 .0370 2 0.92 3.58 .0371 3 0.92 3.51 .0372 3 0.92 3.41 .0373 2 0.92 3.46 .0374 2 0.92 3.57 .0375 2 0.92 3.53 .0376 2 0.92 3.62 .0377 2 0.92 3.56 .0378 2 0.92 3.38 .0379 2 0.92 3.39 .0380 2 0.92 3.56 .0381 2 0.92 3.54 .0382 2 0.92 3.30 .0383 2 0.92 3.48 .0384 2 0.92 3.42 .0385 2 0.92 3.49 .0386 2 0.92 3.46 .0387 2 0.92 3.40 .0388 2 0.92 3.33 .0389 3 0.92 3.58 .0390 2 0.92 3.49 .0391 2 0.92 3.55 .0392 2 0.92 3.57 .0393 2 0.92 3.53 .0394 2 0.92 3.49 .0395 2 0.92 3.71 .0396 2 0.92 3.49 .0397 2 0.92 3.68 .0398 2 0.92 3.55 .0399 2 0.92 3.74 .0400 2 0.92 3.80 .0401 2 0.92 3.59 .0402 2 0.92 3.54 .0403 3 0.92 3.40 .0404 3 0.92 3.48 .0405 3 0.92 4.10 .0406 3 0.92 3.35 .0407 4 0.92 3.62 .0408 3 0.92 3.37 .0409 3 0.92 3.43 .0410 3 0.92 3.26 .0411 3 0.92 3.43 .0412 3 0.92 3.41 .0413 3 0.92 3.23 .0414 3 0.92 3.29 .0415 3 0.92 3.23 .0416 3 0.92 3.37 .0417 3 0.92 3.34 .0418 3 0.92 3.68 .0419 3 0.92 3.32 .0420 3 0.92 3.24 .0421 3 0.92 3.36 .0422 3 0.92 3.16 .0423 2 0.92 3.54 .0424 2 0.92 3.24 .0425 2 0.92 3.36 .0426 2 0.92 3.10 .0427 2 0.92 3.36 .0428 2 0.92 3.16 .0429 2 0.92 3.22 .0430 2 0.92 3.29 .0431 2 0.92 3.22 .0432 2 0.92 3.21 .0433 2 0.92 3.41 .0434 2 0.92 3.30 .0435 2 0.92 3.39 .0436 2 0.92 3.26 .0437 2 0.92 3.18 .0438 2 0.92 2.97 .0439 2 0.92 3.19 .0440 2 0.92 3.12 .0441 2 0.92 3.19 .0442 2 0.92 3.30 .0443 2 0.92 3.06 .0444 3 0.92 3.13 .0445 2 0.92 3.34 .0446 2 0.92 3.19 .0447 2 0.92 3.43 .0448 2 0.92 3.26 .0449 2 0.92 3.06 .0450 2 0.92 3.24 .0451 2 0.92 3.08 .0452 2 0.92 3.20 .0453 2 0.92 3.14 .0454 2 0.92 3.18 .0455 2 0.92 3.18 .0456 2 0.92 3.14 .0457 3 0.92 3.19 .0458 2 0.92 3.03 .0459 2 0.92 3.17 .0460 2 0.92 3.22 .0461 2 0.92 3.06 .0462 3 0.92 3.20 .0463 2 0.92 2.95 .0464 2 0.92 3.01 .0465 2 0.92 3.00 .0466 2 0.92 3.01 .0467 2 0.91 3.12 .0468 2 0.91 3.31 .0469 2 0.91 3.19 .0470 3 0.91 2.93 .0471 2 0.91 3.00 .0472 2 0.91 3.01 .0473 2 0.91 3.22 .0474 2 0.91 3.05 .0475 2 0.91 3.22 .0476 2 0.91 3.02 .0477 2 0.91 3.00 .0478 2 0.91 3.14 .0479 2 0.91 2.98 .0480 2 0.91 3.08 .0481 2 0.91 3.07 .0482 2 0.91 3.02 .0483 3 0.91 3.12 .0484 3 0.91 2.90 .0485 2 0.91 3.20 .0486 2 0.91 2.90 .0487 2 0.91 2.80 .0488 2 0.91 2.86 .0489 2 0.91 2.89 .0490 2 0.91 2.77 .0491 3 0.91 2.96 .0492 3 0.91 2.83 .0493 2 0.91 3.14 .0494 2 0.91 2.87 .0495 2 0.91 2.95 .0496 2 0.91 2.96 .0497 3 0.91 3.27 .0498 2 0.91 2.97 .0499 2 0.91 3.17 .0500 2 0.91 3.34 .0501 3 0.91 3.12 .0502 2 0.91 3.19 .0503 2 0.91 3.31 .0504 3 0.91 3.28 .0505 3 0.91 3.37 .0506 2 0.91 3.29 .0507 2 0.91 3.16 .0508 2 0.91 3.31 .0509 2 0.91 3.24 .0510 2 0.91 3.32 .0511 2 0.91 3.25 .0512 2 0.91 3.25 .0513 2 0.91 3.24 .0514 2 0.91 3.31 .0515 1 0.91 3.59 .0516 2 0.91 3.25 .0517 2 0.91 3.26 .0518 1 0.91 3.58 .0519 1 0.91 3.54 .0520 1 0.91 3.68 .0521 2 0.91 3.57 .0522 2 0.91 3.62 .0523 2 0.91 3.41 .0524 1 0.91 3.45 .0525 1 0.91 3.54 .0526 2 0.91 3.42 .0527 1 0.91 3.65 .0528 1 0.91 3.60 .0529 1 0.91 3.59 .0530 1 0.91 3.44 .0531 1 0.91 3.66 .0532 1 0.91 3.85 .0533 2 0.91 3.71 .0534 2 0.91 3.48 .0535 2 0.91 3.74 .0536 2 0.91 3.68 .0537 1 0.91 3.48 .0538 1 0.91 3.55 .0539 1 0.91 3.57 .0540 1 0.91 3.78 .0541 1 0.91 3.51 .0542 3 0.91 3.62 .0543 1 0.91 3.78 .0544 1 0.91 3.70 .0545 2 0.91 3.58 .0546 2 0.91 3.67 .0547 3 0.91 3.48 .0548 1 0.91 3.63 .0549 2 0.91 3.53 .0550 1 0.91 3.43 .0551 1 0.91 3.72 .0552 1 0.91 3.76 .0553 1 0.91 3.37 .0554 1 0.91 3.54 .0555 2 0.91 3.25 .0556 2 0.91 3.43 .0557 2 0.91 3.53 .0558 2 0.91 3.63 .0559 2 0.91 3.65 .0560 2 0.91 3.66 .0561 3 0.91 3.49 .0562 2 0.91 3.65 .0563 1 0.91 3.44 .0564 1 0.91 3.32 .0565 1 0.91 3.35 .0566 1 0.91 3.49 .0567 2 0.91 3.46 .0568 2 0.91 3.65 .0569 2 0.91 3.32 .0570 2 0.91 3.23 .0571 2 0.91 3.64 .0572 1 0.91 3.32 .0573 1 0.91 3.41 .0574 1 0.91 3.21 .0575 1 0.91 3.49 .0576 2 0.91 3.56 .0577 3 0.91 3.70 .0578 4 0.91 3.45 .0579 3 0.91 3.45 .0580 1 0.91 3.64 .0581 1 0.91 3.42 .0582 1 0.91 3.47 .0583 1 0.91 3.38 .0584 3 0.91 3.39 .0585 2 0.91 3.44 .0586 1 0.91 3.60 .0587 1 0.91 3.27 .0588 1 0.91 3.22 .0589 2 0.91 3.35 .0590 1 0.91 3.31 .0591 1 0.91 3.31 .0592 1 0.91 3.35 .0593 1 0.91 3.35 .0594 1 0.91 3.27 .0595 1 0.91 3.39 .0596 1 0.91 3.38 .0597 1 0.91 3.44 .0598 1 0.91 3.29 .0599 1 0.91 3.10 .0600 1 0.91 3.27 .0601 1 0.91 3.30 .0602 3 0.91 3.52 .0603 3 0.91 3.51 .0604 2 0.91 3.32 .0605 1 0.91 3.30 .0606 1 0.91 3.19 .0607 2 0.91 3.50 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0.93 1.51 .1996 1 0.93 1.55 .1997 2 0.93 1.39 .1998 2 0.93 1.48 .1999 2 0.93 1.43 .2000 2 0.93 1.67 .2001 2 0.93 1.48 .2002 3 0.93 1.46 .2003 2 0.93 1.45 .2004 2 0.93 1.48 .2005 2 0.93 1.41 .2006 2 0.93 1.49 .2007 1 0.93 1.53 .2008 2 0.93 1.49 .2009 2 0.93 1.48 .2010 2 0.93 1.50 .2011 3 0.93 1.54 .2012 4 0.93 1.54 .2013 3 0.93 1.44 .2014 2 0.93 1.61 .2015 3 0.93 1.46 .2016 2 0.93 1.52 .2017 1 0.93 1.56 .2018 2 0.93 1.64 .2019 1 0.93 1.44 .2020 1 0.93 1.60 .2021 1 0.93 1.52 .2022 2 0.93 1.44 .2023 1 0.93 1.36 .2024 2 0.93 1.47 .2025 1 0.93 1.45 .2026 2 0.93 1.50 .2027 2 0.93 1.51 .2028 3 0.93 1.35 .2029 3 0.93 1.46 .2030 5 0.93 1.42 .2031 2 0.93 1.55 .2032 3 0.93 1.39 .2033 3 0.93 1.54 .2034 2 0.93 1.62 .2035 2 0.93 1.40 .2036 2 0.93 1.43 .2037 2 0.93 1.49 .2038 3 0.93 1.41 .2039 1 0.93 1.41 .2040 1 0.93 1.42 .2041 1 0.93 1.33 .2042 1 0.93 1.48 .2043 1 0.93 1.34 .2044 1 0.93 1.48 .2045 2 0.93 1.37 .2046 2 0.93 1.48 .2047 2 0.93 1.41 EXTRACT_IMAGE: sdR-r2-00034675.fit: masked 1930 pixels EXTRACT_OBJECT: sdR-r2-00034675.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034675.fit: WARNING: Scattered light median = 21.1464 electrons QAPLOT_SCATLIGHT: sdR-r2-00034675.fit: WARNING: Scattered light max = 69.0170 electrons EXTRACT_OBJECT: sdR-r2-00034675.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 2 0.92 2.78 .0004 1 0.92 2.58 .0005 1 0.92 2.86 .0006 2 0.92 2.62 .0007 2 0.92 2.57 .0008 3 0.92 2.70 .0009 3 0.92 2.55 .0010 1 0.92 2.67 .0011 1 0.92 2.56 .0012 1 0.92 2.60 .0013 2 0.92 2.61 .0014 1 0.92 2.71 .0015 1 0.92 2.66 .0016 1 0.92 2.72 .0017 1 0.92 2.59 .0018 1 0.92 2.56 .0019 2 0.92 2.84 .0020 2 0.92 2.71 .0021 3 0.92 2.58 .0022 2 0.92 2.63 .0023 1 0.92 2.65 .0024 1 0.92 2.61 .0025 1 0.92 2.60 .0026 1 0.92 2.55 .0027 1 0.92 2.64 .0028 1 0.92 2.48 .0029 2 0.92 2.63 .0030 3 0.92 2.56 .0031 2 0.92 2.51 .0032 2 0.92 2.54 .0033 1 0.92 2.50 .0034 1 0.92 2.50 .0035 1 0.92 2.69 .0036 2 0.92 2.61 .0037 3 0.92 2.41 .0038 2 0.92 2.68 .0039 1 0.92 2.65 .0040 1 0.92 2.59 .0041 1 0.92 2.65 .0042 2 0.92 2.51 .0043 1 0.92 2.61 .0044 2 0.92 2.58 .0045 2 0.92 2.47 .0046 3 0.92 2.46 .0047 3 0.92 2.47 .0048 2 0.92 2.51 .0049 2 0.92 2.56 .0050 3 0.92 2.59 .0051 2 0.92 2.47 .0052 2 0.92 2.45 .0053 4 0.92 2.49 .0054 5 0.92 2.50 .0055 2 0.92 2.38 .0056 2 0.92 2.56 .0057 2 0.92 2.35 .0058 2 0.92 2.63 .0059 2 0.92 2.70 .0060 2 0.92 2.44 .0061 2 0.92 2.56 .0062 3 0.92 2.44 .0063 2 0.92 2.37 .0064 2 0.92 2.56 .0065 3 0.92 2.67 .0066 3 0.92 2.48 .0067 3 0.92 2.45 .0068 2 0.92 2.39 .0069 2 0.92 2.51 .0070 2 0.92 2.47 .0071 2 0.92 2.46 .0072 2 0.92 2.35 .0073 2 0.92 2.46 .0074 2 0.92 2.41 .0075 2 0.92 2.48 .0076 3 0.92 2.36 .0077 4 0.92 2.54 .0078 3 0.92 2.36 .0079 2 0.92 2.50 .0080 2 0.92 2.57 .0081 2 0.92 2.46 .0082 2 0.92 2.45 .0083 2 0.92 2.48 .0084 2 0.92 2.41 .0085 2 0.92 2.51 .0086 2 0.92 2.53 .0087 2 0.92 2.44 .0088 2 0.92 2.47 .0089 2 0.92 2.40 .0090 3 0.92 2.37 .0091 3 0.92 2.41 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0.92 2.83 .0148 2 0.92 2.82 .0149 2 0.92 2.94 .0150 2 0.92 2.87 .0151 2 0.92 3.07 .0152 2 0.92 2.89 .0153 2 0.92 2.95 .0154 2 0.92 2.92 .0155 2 0.92 3.01 .0156 2 0.92 3.04 .0157 3 0.92 2.95 .0158 2 0.92 2.95 .0159 2 0.92 2.94 .0160 2 0.92 2.93 .0161 2 0.92 3.02 .0162 2 0.92 3.00 .0163 2 0.92 3.09 .0164 2 0.92 2.90 .0165 2 0.92 3.18 .0166 2 0.92 3.24 .0167 3 0.92 3.19 .0168 2 0.92 3.29 .0169 2 0.92 3.09 .0170 3 0.92 3.24 .0171 2 0.92 3.27 .0172 2 0.92 3.15 .0173 2 0.92 3.18 .0174 2 0.92 3.20 .0175 2 0.92 3.09 .0176 2 0.92 3.15 .0177 2 0.92 3.18 .0178 2 0.92 3.36 .0179 2 0.92 3.36 .0180 2 0.92 3.27 .0181 2 0.92 3.13 .0182 2 0.92 3.30 .0183 2 0.92 3.20 .0184 2 0.92 3.25 .0185 2 0.92 3.36 .0186 2 0.92 3.44 .0187 2 0.92 3.34 .0188 2 0.92 3.20 .0189 2 0.92 3.33 .0190 2 0.92 3.30 .0191 2 0.92 3.40 .0192 2 0.92 3.38 .0193 2 0.92 3.39 .0194 2 0.92 3.46 .0195 2 0.92 3.36 .0196 2 0.92 3.25 .0197 2 0.92 3.20 .0198 2 0.92 3.28 .0199 2 0.92 3.31 .0200 2 0.92 3.16 .0201 2 0.92 3.27 .0202 2 0.92 3.34 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0.92 3.45 .0259 1 0.92 3.29 .0260 1 0.92 3.47 .0261 2 0.92 3.32 .0262 2 0.92 3.63 .0263 2 0.92 3.42 .0264 1 0.92 3.52 .0265 2 0.92 3.36 .0266 1 0.92 3.55 .0267 2 0.92 3.45 .0268 1 0.92 3.47 .0269 1 0.92 3.59 .0270 2 0.92 3.56 .0271 2 0.92 3.61 .0272 1 0.92 3.42 .0273 1 0.92 3.77 .0274 2 0.92 3.61 .0275 1 0.92 3.57 .0276 1 0.92 3.55 .0277 1 0.92 3.57 .0278 1 0.92 3.90 .0279 2 0.92 3.78 .0280 3 0.92 3.69 .0281 1 0.92 3.73 .0282 1 0.92 3.74 .0283 1 0.92 3.89 .0284 1 0.92 3.79 .0285 1 0.92 3.57 .0286 2 0.92 3.71 .0287 1 0.92 3.71 .0288 1 0.92 3.86 .0289 1 0.92 3.75 .0290 1 0.92 3.64 .0291 1 0.92 3.94 .0292 1 0.92 3.91 .0293 1 0.92 3.94 .0294 1 0.92 3.98 .0295 1 0.92 3.80 .0296 1 0.92 3.83 .0297 1 0.92 3.90 .0298 2 0.92 3.98 .0299 1 0.92 3.85 .0300 1 0.92 3.76 .0301 3 0.92 3.97 .0302 1 0.92 4.15 .0303 1 0.92 3.90 .0304 1 0.92 3.89 .0305 1 0.92 3.99 .0306 1 0.92 3.89 .0307 1 0.92 3.88 .0308 3 0.92 3.80 .0309 1 0.92 4.02 .0310 1 0.92 3.77 .0311 2 0.92 4.11 .0312 2 0.92 4.05 .0313 2 0.92 3.90 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0.92 3.64 .0370 2 0.92 3.83 .0371 3 0.92 3.75 .0372 3 0.92 3.72 .0373 2 0.92 3.68 .0374 2 0.92 3.79 .0375 2 0.92 3.71 .0376 2 0.92 3.83 .0377 2 0.92 3.74 .0378 2 0.92 3.68 .0379 2 0.92 3.59 .0380 2 0.92 3.74 .0381 2 0.92 3.71 .0382 2 0.92 3.60 .0383 2 0.92 3.69 .0384 2 0.92 3.59 .0385 2 0.92 3.65 .0386 2 0.92 3.68 .0387 2 0.92 3.62 .0388 2 0.92 3.58 .0389 3 0.92 3.79 .0390 2 0.92 3.70 .0391 2 0.92 3.71 .0392 2 0.92 3.74 .0393 2 0.92 3.70 .0394 2 0.92 3.70 .0395 2 0.92 3.85 .0396 3 0.92 3.65 .0397 3 0.92 3.74 .0398 3 0.92 3.58 .0399 3 0.92 3.79 .0400 3 0.92 3.63 .0401 3 0.92 3.62 .0402 3 0.92 3.54 .0403 3 0.92 3.60 .0404 3 0.92 3.59 .0405 3 0.92 4.16 .0406 3 0.92 3.72 .0407 3 0.92 3.83 .0408 3 0.92 3.58 .0409 3 0.92 3.58 .0410 3 0.92 3.44 .0411 3 0.92 3.60 .0412 3 0.92 3.57 .0413 3 0.92 3.54 .0414 3 0.92 3.53 .0415 3 0.92 3.42 .0416 3 0.92 3.52 .0417 3 0.92 3.54 .0418 3 0.92 3.73 .0419 3 0.92 3.51 .0420 3 0.92 3.44 .0421 3 0.92 3.55 .0422 3 0.92 3.37 .0423 2 0.92 3.70 .0424 2 0.92 3.48 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0.94 1.48 .1924 2 0.94 1.62 .1925 3 0.94 1.66 .1926 2 0.94 1.64 .1927 1 0.94 1.60 .1928 3 0.94 1.64 .1929 1 0.94 1.56 .1930 3 0.94 1.62 .1931 3 0.94 1.72 .1932 2 0.94 1.65 .1933 5 0.94 1.61 .1934 1 0.94 1.59 .1935 1 0.94 1.60 .1936 3 0.94 1.57 .1937 1 0.94 1.53 .1938 1 0.94 1.61 .1939 1 0.94 1.59 .1940 1 0.94 1.53 .1941 1 0.94 1.57 .1942 2 0.94 1.57 .1943 1 0.94 1.60 .1944 1 0.94 1.54 .1945 1 0.94 1.49 .1946 1 0.94 1.54 .1947 1 0.94 1.60 .1948 1 0.94 1.60 .1949 2 0.94 1.52 .1950 2 0.94 1.46 .1951 2 0.94 1.62 .1952 1 0.94 1.61 .1953 1 0.94 1.57 .1954 1 0.94 1.51 .1955 2 0.94 1.62 .1956 1 0.94 1.63 .1957 1 0.94 1.51 .1958 2 0.94 1.64 .1959 3 0.94 1.51 .1960 3 0.94 1.55 .1961 4 0.94 1.52 .1962 3 0.94 1.57 .1963 1 0.94 1.56 .1964 3 0.94 1.54 .1965 2 0.94 1.57 .1966 1 0.93 1.58 .1967 3 0.93 1.55 .1968 2 0.93 1.62 .1969 2 0.93 1.56 .1970 1 0.93 1.54 .1971 3 0.93 1.55 .1972 2 0.93 1.47 .1973 1 0.93 1.51 .1974 1 0.93 1.63 .1975 3 0.93 1.58 .1976 3 0.93 1.61 .1977 3 0.93 1.57 .1978 2 0.93 1.54 .1979 3 0.93 1.52 .1980 1 0.93 1.47 .1981 2 0.93 1.53 .1982 2 0.93 1.59 .1983 1 0.93 1.56 .1984 3 0.93 1.64 .1985 3 0.93 1.56 .1986 1 0.93 1.55 .1987 1 0.93 1.50 .1988 1 0.93 1.51 .1989 3 0.93 1.64 .1990 2 0.93 1.56 .1991 1 0.93 1.47 .1992 1 0.93 1.48 .1993 2 0.93 1.57 .1994 1 0.93 1.58 .1995 3 0.93 1.54 .1996 1 0.93 1.57 .1997 2 0.93 1.41 .1998 2 0.93 1.55 .1999 4 0.93 1.47 .2000 3 0.93 1.55 .2001 2 0.93 1.55 .2002 3 0.93 1.45 .2003 2 0.93 1.45 .2004 2 0.93 1.49 .2005 2 0.93 1.44 .2006 3 0.93 1.52 .2007 1 0.93 1.54 .2008 2 0.93 1.48 .2009 2 0.93 1.46 .2010 2 0.93 1.49 .2011 3 0.93 1.52 .2012 3 0.93 1.56 .2013 3 0.93 1.45 .2014 3 0.93 1.58 .2015 3 0.93 1.50 .2016 2 0.93 1.56 .2017 1 0.93 1.55 .2018 3 0.93 1.61 .2019 1 0.93 1.48 .2020 1 0.93 1.59 .2021 1 0.93 1.52 .2022 2 0.93 1.46 .2023 1 0.93 1.41 .2024 4 0.93 1.52 .2025 1 0.93 1.49 .2026 2 0.93 1.52 .2027 2 0.93 1.56 .2028 3 0.93 1.33 .2029 3 0.93 1.45 .2030 4 0.93 1.43 .2031 2 0.93 1.54 .2032 3 0.93 1.41 .2033 5 0.93 1.43 .2034 3 0.93 1.56 .2035 5 0.93 1.43 .2036 2 0.93 1.43 .2037 2 0.93 1.51 .2038 3 0.93 1.45 .2039 1 0.93 1.42 .2040 1 0.93 1.42 .2041 1 0.93 1.36 .2042 1 0.93 1.52 .2043 1 0.93 1.36 .2044 1 0.93 1.53 .2045 2 0.93 1.39 .2046 3 0.93 1.43 .2047 2 0.93 1.45 EXTRACT_IMAGE: sdR-r2-00034675.fit: masked 2721 pixels DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 355 low points in trace 54 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 354 low points in trace 184 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 596 low points in trace 224 DIVIDEFLAT: sdR-r2-00034675.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034675.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 572 low points in trace 276 DIVIDEFLAT: sdR-r2-00034675.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034675.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 219 low points in trace 318 DIVIDEFLAT: sdR-r2-00034675.fit: Warning: Reject 481 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034675.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 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sdR-r2-00034675.fit: WARNING: sky shift reference line, sigma 7794.1200 0.087781248 LOCATESKYLINES_2: sdR-r2-00034675.fit: sky shift reference line, offset: 7794.1200 -0.013996545 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 0 4.8198349 344.98119 0.077989699 0.98099331 1123.2784 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 6 6.3727437 230.15605 0.076281881 0.98660656 1100.1586 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 13 4.0357911 225.83199 0.081249829 1.0200542 1168.7585 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 18 2.1432634 263.38882 0.14038924 0.99801179 1106.0737 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 26 8.0041605 357.68788 0.11974894 0.96856650 1188.6373 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 52 7.0792898 240.04251 0.11199794 1.0444969 1163.7867 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 60 5.1316835 279.71010 0.13025624 0.95281606 1218.4700 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 63 5.2052977 277.31498 0.11074212 0.94180225 1232.1420 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 82 7.5613360 269.59722 0.10170999 0.94512166 1160.8432 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 84 5.4865251 222.45649 0.042531102 0.95772821 1229.2431 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 109 9.2203841 262.15706 0.093900239 0.95794405 1169.2388 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 114 4.9485986 264.35388 0.12997477 0.95635621 1158.6080 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 131 13.326047 284.40770 0.057242098 0.90870134 1147.6935 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 153 6.3268260 360.04078 0.096600944 0.97111884 1130.4693 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 176 6.2367885 354.30162 0.13903758 0.96739497 1171.5384 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 180 8.6949619 367.86212 0.082436810 0.94998410 1139.9279 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 184 17.289430 348.13453 0.045437823 0.94934561 1177.5083 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 185 13.726128 357.97170 0.13036659 0.97133053 1125.7140 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 186 12.915875 352.75930 0.046778299 0.98968756 1174.1174 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 201 9.9317964 349.27686 0.084677863 0.95124478 1216.7524 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 204 7.9418680 325.83347 0.094668658 0.96746689 1168.9998 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 206 7.3938479 351.90490 0.095733971 0.92656697 1217.2199 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 213 5.7366165 318.22220 0.030363315 0.94786535 1190.2959 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 235 13.889655 301.71544 0.14681009 0.96774057 1179.9450 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 257 8.9343914 340.40134 0.077299357 0.95298843 1183.2741 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 259 6.3106514 382.86761 0.073465716 0.92336355 1185.3735 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 260 7.8093986 311.46150 0.064801711 0.99135961 1186.9827 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 261 9.4548747 351.73873 0.028335965 0.98687632 1188.2428 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 265 3.7194662 379.12089 0.091115523 0.90116138 1216.0067 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 271 11.299944 359.77027 0.074974283 0.93864588 1224.9418 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 276 5.5653823 363.49229 0.088524099 0.97399314 1109.7487 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 281 8.5376654 334.19698 0.086854598 0.95734116 1194.0584 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 284 5.5565182 306.56685 0.070431543 0.97486431 1179.4744 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 307 5.4581559 350.46405 0.069464545 0.96278002 1216.6464 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 0 308 6.9556712 366.46807 0.10081032 0.95045436 1207.0881 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 0 4.6787245 0.00024653457 0.088336979 0.96074371 0.99913940 LOCATESKYLINES_2: sdR-r2-00034675.fit: sigma-clipped to 295 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034675.fit: comb2 l,chi^2/dof,fit: 0 3.3446208 -0.0091320629 0.089110105 0.97612143 1.0010337 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 295 of 315 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.0751140.0891100.005227 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 0 1.8378680 287.29825 0.052569307 0.91448566 400.24314 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 6 1.7672595 177.64289 0.12991203 0.94539881 406.07475 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 13 0.92807892 184.08297 0.15305826 0.95080073 414.90516 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 18 2.3700609 193.83018 0.15513003 0.95532103 369.38914 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 26 1.5362650 293.31847 0.079265025 0.94811981 337.04120 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 52 1.3422319 216.00453 0.26965866 1.0230585 326.00069 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 60 0.82144143 252.68165 0.059703771 0.94021153 356.11288 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 63 1.6526806 230.80855 0.20786361 0.97684181 359.33358 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 82 1.6899158 220.29405 0.13832013 0.84179182 417.38315 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 84 1.2867679 192.42821 -0.0082056168 1.0252687 339.89414 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 109 4.2458546 195.50401 0.12574860 0.85266833 382.17783 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 114 1.8198920 192.96103 0.039472695 1.0138683 375.46491 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 131 1.5932126 250.11011 0.19161269 0.96089962 363.26902 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 153 1.0843281 295.05962 0.15039072 0.94046464 387.17062 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 176 1.3657658 296.33302 0.12510647 0.95942150 355.60343 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 180 0.85373575 287.31896 0.11738338 0.95304078 409.54982 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 184 1.3401387 301.03324 0.22837608 0.93839229 339.53010 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 185 1.6429680 294.07427 0.18260817 1.0226094 383.96493 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 186 2.1331910 294.40481 0.012889107 1.0083496 347.11067 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 201 0.078801749 280.74355 0.068893160 0.90957670 378.67485 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 204 0.76162418 281.41924 0.081573250 0.97839396 389.42579 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 206 0.79823582 291.43380 0.050429439 0.98184016 357.40446 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 213 3.0976793 280.96901 0.20656795 0.93571014 359.11444 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 235 3.5472095 282.27624 0.29895501 0.98359441 384.81420 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 257 2.8050294 286.67019 0.12367633 0.84896793 426.56050 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 259 2.0212297 301.01928 0.19920609 0.91862005 378.71850 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 260 3.1891306 272.10931 0.25479904 1.0701493 353.10543 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 261 0.94743361 333.75061 0.12536246 1.1803847 301.40925 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 265 0.99027013 306.28337 0.073367646 0.89602154 379.56682 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 271 2.9966230 279.98884 0.098373762 1.0855006 393.94438 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 276 1.5690846 285.69690 0.095619073 0.97245203 414.09964 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 281 2.0485884 272.07466 0.16061072 0.92103224 384.35891 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 284 1.7954009 261.69920 0.16632479 0.94342851 419.45882 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 307 1.1521343 298.97706 0.25979718 0.75698216 435.08972 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 1 308 1.1128909 314.94178 0.093261706 0.86704050 332.91153 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 1 1.2783972 0.0012230764 0.13663689 0.94877903 0.99295551 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.1226400.1366370.012425 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 0 0.29228131 246.60509 0.25433866 1.0985607 61.328226 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 6 0.53361980 117.12817 -0.55465102 0.86749060 83.534454 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 13 0.42799447 147.81164 0.33942599 0.63091529 136.39331 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 18 0.30094961 148.17126 0.0077698084 0.95936607 119.24100 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 26 1.4675886 194.34406 -0.40351422 2.0000000 118.36137 LOCATESKYLINES_2: sdR-r2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 52 1.8556488 158.89430 -0.21583961 1.5071324 93.880594 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 60 1.0174411 178.55013 -0.31675521 0.96082846 122.88095 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 63 0.29750023 174.33858 -0.26928638 0.93369252 101.26296 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 82 0.69056175 192.00068 -0.033482231 0.63794890 80.519664 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 84 1.2446361 134.05330 0.44742446 2.0000000 75.159583 LOCATESKYLINES_2: sdR-r2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 109 0.92187265 174.61786 -0.10352773 0.89418902 84.271770 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 114 0.35254454 169.02688 -0.39431639 0.64038239 133.88860 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 131 3.2193876 188.32077 0.41413977 0.73949930 95.958042 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 153 0.29020642 258.82978 0.026171759 0.79118406 137.01667 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 176 1.2847428 277.66505 -0.094204762 0.83069512 82.490798 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 180 1.6145152 263.57917 0.091282059 0.60000000 128.27086 LOCATESKYLINES_2: sdR-r2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 184 1.1846726 246.51958 0.060749442 1.1612267 121.18189 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 185 2.0516826 259.73116 -0.11604807 1.2855648 71.387614 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 186 0.67656927 246.27395 0.26819484 1.3632619 111.48950 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 201 1.3729471 242.15794 0.037376025 0.87788811 95.510669 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 204 0.53293877 251.65807 0.0056216563 1.1306641 78.046035 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 206 0.90619855 243.80831 0.51030227 0.60000000 70.509173 LOCATESKYLINES_2: sdR-r2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 213 0.72481390 266.65041 -0.090022920 1.2413113 90.173427 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 235 1.1402997 253.88796 0.40511990 0.88849068 99.954907 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 257 1.6383730 256.23209 -0.19390396 0.93113906 96.568686 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 259 0.56435980 277.95546 -0.27843855 0.71389082 78.915607 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 260 0.56158656 248.98358 0.25942486 1.3002951 57.492036 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 261 0.32638405 261.79758 -0.38067891 1.4889139 96.985914 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 265 0.83444348 259.32522 -0.024909481 0.73195681 127.87146 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 271 2.4718176 252.20173 0.42535689 0.91370998 123.82540 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 276 1.9547522 235.98580 0.059097210 1.1948746 102.62085 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 281 1.5008702 201.94705 -0.74344379 2.0000000 127.09340 LOCATESKYLINES_2: sdR-r2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 284 0.48278028 233.56411 0.042653146 0.87825315 111.91969 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 307 2.4197635 256.28264 -0.20878439 1.3243585 96.888512 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 2 308 1.4455338 258.80996 0.019397392 1.0420602 101.43674 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 2 0.76611730 0.0085614828 -0.0015644605 0.99972877 0.92818836 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 270 of 270 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: -0.015561-0.0015640.046282 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 0 0.18380945 287.38841 0.35331384 0.87297533 145.50090 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 6 0.71531938 143.81592 -0.10995353 0.93936908 158.19616 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 13 1.3425077 203.42205 0.0038215774 0.65465744 146.07878 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 18 0.22240686 174.02716 0.13272231 1.0273216 134.91145 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 26 0.17984415 286.71270 -0.061380541 0.64808354 217.14551 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 52 1.2346918 175.43433 0.13410870 0.94047886 191.91118 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 60 0.62626930 202.72776 0.070896595 0.97219054 193.79703 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 63 0.19745149 189.35724 -0.43705430 0.84522315 195.88369 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 82 0.56066891 194.47303 0.093331494 1.1514293 175.50272 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 84 1.0765681 182.73172 0.026354530 0.89386663 190.66198 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 109 1.0728724 173.45366 0.39756826 1.1621299 164.70419 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 114 0.88617851 201.28015 -0.098790713 1.0775457 150.76308 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 131 0.99448066 258.38375 -0.10535432 0.86620999 147.52721 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 153 0.14634548 277.54235 0.091387872 1.0330384 183.52311 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 176 0.66965222 263.23296 0.15424927 0.99664375 201.17581 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 180 1.0090069 296.25823 -0.14421832 0.91668131 116.18708 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 184 1.3781611 288.10822 0.076688718 1.0042291 119.72394 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 185 1.8379868 277.15170 0.36310646 1.1884755 148.30782 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 186 0.42406679 278.79133 0.13824447 1.0984962 167.22107 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 201 2.1382275 259.85219 0.13357494 1.0191338 137.63092 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 204 1.0081653 274.28952 -0.13291827 0.95890360 168.47380 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 206 0.65444442 262.43833 -0.014068207 1.4362178 129.40628 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 213 0.66817606 278.46962 0.094461745 0.92843832 184.10022 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 235 2.6071199 264.92341 0.12009929 1.0391905 169.73841 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 257 3.0164175 273.73375 0.27323790 1.1841241 136.71143 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 259 1.2316351 287.17131 0.17341612 0.95051565 228.41203 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 260 1.1782390 260.53128 -0.036693643 1.0921966 184.83056 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 261 1.1245935 327.25724 -0.078907972 1.0129146 224.99363 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 265 1.3335781 284.87523 -0.065051719 1.1347009 170.34443 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 271 2.1132674 264.34539 0.030697554 0.99351371 198.12257 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 276 2.3493853 273.66152 -0.043094284 0.93205064 169.98417 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 281 1.0398780 274.48127 0.050803095 0.81516562 201.14725 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 284 0.78454948 257.44745 0.0018291507 0.90651649 174.04155 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 307 1.6277972 292.13555 -0.092691562 1.2874959 155.35342 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 3 308 0.80948010 312.40235 0.045706509 0.70118892 140.69467 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 3 0.89506974 0.0061322110 0.041618685 0.98072737 0.97538980 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.0276220.0416190.026283 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 0 0.34576144 295.98176 0.10680200 0.86584342 160.89693 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 6 1.7935255 153.04959 0.029997016 0.74032569 229.13315 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 13 0.35580787 170.89260 0.31538470 1.2000352 191.13593 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 18 0.64675534 177.03047 0.20316931 0.83896001 244.42288 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 26 1.7657900 263.41871 0.36776801 0.61385379 278.11330 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 52 1.4203593 194.23589 0.54440089 0.85105153 194.95716 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 60 1.0858689 210.97783 0.16645452 0.87984478 192.35570 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 63 0.66342118 204.66972 0.44015678 0.60000000 185.40851 LOCATESKYLINES_2: sdR-r2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 82 0.57701012 216.95487 -0.0020652210 0.96148837 200.30281 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 84 0.39776746 190.99419 0.22201387 0.90517915 144.33981 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 109 1.5610169 201.29956 0.21000950 0.92823652 226.91371 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 114 0.31847757 209.29004 -0.036834029 0.99413076 186.64355 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 131 0.88270478 208.33668 0.15982733 1.0684462 218.24675 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 153 1.5526278 290.87626 0.22018916 1.0689518 204.50292 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 176 1.1190571 305.66264 0.092616442 0.86420721 181.13123 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 180 3.5622288 282.31996 0.17585971 1.0063551 169.29922 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 184 0.51213908 291.84610 0.036570391 1.0594252 191.98408 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 185 1.7844665 271.20754 0.082429252 1.2963312 168.29757 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 186 1.2484436 293.96807 0.14890768 0.92840066 195.43955 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 201 0.36930986 281.07661 0.28073445 1.0831254 146.19784 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 204 1.9269564 286.79824 0.33809118 0.81399804 184.93498 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 206 0.67209539 300.65660 0.22867059 0.70846040 185.20430 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 213 1.7091272 249.52271 0.070517020 1.0793588 188.64156 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 235 2.7183926 254.99550 0.23445578 0.87749293 194.16912 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 257 1.5698896 266.97726 0.21477341 0.90435540 215.88368 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 259 0.70272011 295.89715 0.19723868 0.89548005 206.81700 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 260 2.9103500 270.14693 0.49969276 1.4772255 172.49082 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 261 0.56326117 308.86757 0.046822050 1.0331463 203.66963 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 265 0.18371346 307.82059 0.025362435 0.84006472 217.08229 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 271 0.20526583 285.50855 -0.0088844913 0.80826098 213.82421 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 276 0.30009893 287.25277 0.11149217 0.77460916 225.53485 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 281 1.1147622 252.85124 0.28067449 1.1142149 216.11486 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 284 0.88920756 261.13151 0.043704213 0.79614622 178.38190 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 307 0.50056604 277.85848 -0.0052007550 1.4725076 183.66119 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 4 308 1.2820963 317.91430 0.26071726 0.98329688 128.73528 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 4 1.0225736 0.010273055 0.16343820 0.91941513 0.97606840 LOCATESKYLINES_2: sdR-r2-00034675.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034675.fit: comb2 l,chi^2/dof,fit: 4 0.95788021 0.0080737779 0.16280609 0.92071426 0.97842762 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.1488100.1628060.022683 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 0 1.1400958 268.12722 0.092784055 0.92660707 232.33600 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 6 0.33427063 115.17018 0.26580258 1.9817055 184.99278 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 13 0.81421256 188.30095 0.46110630 0.78958554 197.00186 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 18 1.3234393 178.54289 0.15263789 1.0143021 240.35005 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 26 1.6354361 243.05604 0.14776947 1.1319504 238.27005 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 52 0.81424049 185.96624 -0.15382336 0.98162544 226.89188 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 60 1.5068789 182.59222 0.19120778 1.1598499 268.42561 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 63 0.73731636 184.89424 0.27703895 0.97044329 249.24854 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 82 0.92555474 232.68032 0.14087289 0.90495046 236.06099 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 84 0.56660399 157.46052 -0.071650037 1.1127137 255.16197 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 109 0.22078015 227.45047 0.00098734598 0.96961380 209.94987 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 114 1.2237677 212.57622 0.16361829 1.0173877 286.17045 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 131 0.45636678 220.74448 0.16689949 1.1209288 251.12214 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 153 1.1808817 292.32817 0.081848996 1.0486567 226.43457 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 176 1.2239736 280.03657 0.12698292 1.1935367 218.10954 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 180 0.41870542 278.95344 -0.19511268 1.1278576 225.98380 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 184 1.0457831 278.08660 0.034650346 1.1712223 217.64250 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 185 0.85797349 274.51140 0.049879431 1.1253713 230.95690 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 186 0.69806689 271.41299 0.23001430 1.0282303 213.53400 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 201 0.67370946 288.49153 -0.13886004 0.95371365 197.21245 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 204 0.85204403 269.71285 0.075141837 1.2024267 203.72877 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 206 1.4241082 295.93876 -0.018589591 0.91917314 227.73002 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 213 1.6046323 276.42642 0.11054577 0.95621401 255.09573 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 235 0.91501334 275.48765 0.15427881 0.75661914 247.56895 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 257 1.1536296 292.77647 -0.0078816492 0.70960326 279.34169 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 259 0.40515866 302.40301 0.22933530 0.97873773 213.12448 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 260 0.53432281 271.54935 0.024934313 1.0277329 271.75169 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 261 1.7906379 314.13510 0.19296865 0.91279404 274.74681 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 265 0.50976594 283.30398 0.12292389 1.0771735 247.61815 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 271 0.67920744 296.49590 0.17379154 0.89213755 206.44554 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 276 2.5079899 290.36135 0.22565053 0.91500193 200.69814 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 281 0.32060269 276.28994 0.17581454 1.1629216 215.52153 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 284 0.38599670 263.91518 0.085202226 0.79199169 278.41264 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 307 0.085811511 299.39835 0.24951797 0.93755538 232.17027 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 5 308 0.72362580 313.85414 0.32738356 1.2269882 201.25219 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 5 0.97682986 0.0070193994 0.10547921 1.0073225 0.97756040 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.0914830.1054790.020570 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 0 4.3626041 244.52783 -0.034450892 1.0269573 477.92997 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 6 0.56662324 128.00075 0.022298721 1.0656971 483.22832 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 13 2.8717695 143.36187 0.089395827 0.94279070 572.23131 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 18 0.79910696 153.33444 -0.13610262 1.0333749 503.67931 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 26 1.8754771 230.64592 0.024002671 0.98306981 577.29932 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 52 1.7604746 168.94872 -0.014667255 1.0074269 501.19275 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 60 1.9126510 204.76319 0.011863140 0.83020377 577.44916 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 63 0.50886695 172.01897 0.00093083579 0.94388917 560.87911 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 82 1.0522351 195.37962 -0.041757049 1.0851545 473.86059 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 84 0.61123315 142.36069 -0.10974460 0.93852723 544.57453 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 109 1.7817999 184.22791 -0.019535134 0.96676555 504.61641 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 114 3.6010264 197.72718 -0.051604911 0.94980550 534.84272 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 131 2.1574096 225.65799 0.025694352 0.85653429 544.09395 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 153 2.7892706 279.83263 0.023328779 0.88296624 518.94941 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 176 1.7776550 285.50936 0.081222744 0.87244778 518.84377 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 180 1.7292576 257.68036 -0.083650625 1.0540007 532.50881 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 184 4.7393359 264.15574 -0.014330871 0.99548121 498.58312 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 185 2.0875069 250.26868 0.032787679 1.0302697 523.38052 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 186 1.3789467 264.06214 -0.043462791 0.96097212 477.03532 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 201 1.5959585 274.30927 -0.060113989 0.87867857 522.61267 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 204 1.4976052 283.67824 -0.027749627 0.91394599 560.05933 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 206 2.5579708 278.75689 -0.053619476 1.0152680 509.97551 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 213 1.0532910 251.18968 0.021733595 1.0202648 533.74763 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 235 164.33296 336.77967 0.053579649 0.68439574 544.71649 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 257 3.2224000 271.35348 0.029719690 0.93877940 533.76137 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 259 0.89835139 253.44409 -0.052404066 1.0001647 570.24907 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 260 0.42937910 272.32892 -0.044285559 0.93105935 548.52497 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 261 1.1816043 286.12924 0.011779630 0.91562847 555.75570 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 265 0.62458003 277.12132 -0.0023709915 0.90994335 533.21106 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 271 1.1030223 274.54188 0.033180226 0.88734731 558.81619 LOCATESKYLINES_2: sdR-r2-00034675.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 281 3.2833110 241.08030 -0.13518917 1.0032300 511.56370 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 284 1.3803129 248.23160 0.034937587 0.97640002 500.01203 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 307 1.2949751 274.09606 -0.060348829 1.0046305 525.35616 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 6 308 1.1678667 301.70485 0.047186520 0.92867749 553.73712 LOCATESKYLINES_2: sdR-r2-00034675.fit: trimmed 1high points: 4.0881782 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 6 1.5348732 -0.0013682275 -0.010412819 0.95410963 0.99559105 LOCATESKYLINES_2: sdR-r2-00034675.fit: sigma-clipped to 303 of 305 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034675.fit: comb2 l,chi^2/dof,fit: 6 1.3880702 0.00010549857 -0.014929335 0.95663317 0.99345125 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 303 of 305 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: -0.028926-0.0149290.010099 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 0 2.9012336 254.82429 0.050045104 0.93088016 614.84600 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 6 3.2359301 115.58846 0.066348598 0.89667326 670.50307 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 13 0.93724371 165.71658 0.12204097 0.91243658 613.25709 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 18 2.9952803 161.75994 0.084147124 0.83181553 651.93598 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 26 2.8141288 217.51028 0.082776611 1.0232646 660.45630 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 52 2.5832912 149.42004 0.038240906 0.91647161 670.22587 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 60 1.4626659 180.33764 0.14567872 0.93913363 620.47084 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 63 2.9558121 182.58392 0.078806551 0.80436758 636.15770 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 82 1.0538599 215.60313 0.081963729 0.87363674 603.25096 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 84 0.70384217 174.17756 0.013230456 0.93914143 638.52305 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 109 7.5351136 195.49337 -0.031269175 0.94409782 636.23980 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 114 0.65586207 204.72954 0.084575581 0.97434141 621.21719 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 131 1.5178841 218.57248 0.13758892 0.92392717 656.17238 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 153 1.4991806 272.32678 -0.013451410 0.93682396 670.76987 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 176 0.61671761 274.32887 0.080148461 0.84340477 653.92519 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 180 0.49305990 260.81085 0.029885031 0.86358397 708.42340 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 184 1.1921236 259.18795 0.064144857 0.94994279 680.20725 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 185 1.6507414 262.66325 0.043346250 0.94883306 630.41546 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 186 1.4888694 266.63253 -0.055052315 0.93796749 662.78028 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 201 1.4123543 255.40950 -0.013062990 0.91376089 627.47481 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 204 0.79753216 254.52049 0.064884843 1.0242277 607.35777 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 206 0.71622590 298.56415 0.00055009558 0.87490341 643.46710 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 213 0.58439422 289.39934 0.026051263 0.92805702 602.53027 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 235 0.62897172 243.61221 -0.014035157 0.92571507 636.45719 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 257 1.8040931 273.80384 0.012751269 0.86070504 681.67185 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 259 1.9234451 263.76892 0.016639139 0.98358170 659.59676 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 260 0.95794361 254.07402 -0.035541565 0.85680065 713.85270 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 261 2.6034305 283.37585 0.00083219738 0.91598621 662.30314 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 265 1.2906401 270.92820 0.011595232 0.96300421 650.79783 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 271 1.2980485 272.48894 0.039857742 0.84507138 655.93272 LOCATESKYLINES_2: sdR-r2-00034675.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 281 2.5294225 250.86459 0.018889540 1.0501929 542.25237 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 284 1.4070680 241.16732 -0.0061040523 0.98023425 578.81737 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 307 1.9247535 251.78652 0.12360516 0.89440828 687.50920 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 7 308 2.2825501 302.60232 -0.054183486 0.91904265 647.83131 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 7 1.3318739 0.00039656763 0.036178335 0.91951942 0.99558002 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.0221820.0361780.008360 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 0 1.9686561 139.38989 0.077188646 0.92685815 800.22990 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 6 1.6086217 37.434868 0.088293550 1.0015168 717.84114 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 13 1.2879474 75.108959 0.11375574 0.95275725 788.23067 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 18 0.43530930 57.428067 0.16247453 1.0090017 774.47011 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 26 1.6751034 116.54182 0.061026294 0.94457677 837.80960 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 52 1.4439453 97.923359 0.13089803 0.91355331 825.13602 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 60 1.5108499 93.070979 0.16037674 0.97257196 792.85586 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 63 1.5900439 84.498625 0.075928983 0.88433554 867.33707 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 82 0.96538576 99.185029 0.13688022 1.0187709 732.77352 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 84 1.4011184 76.148979 0.077721233 0.87762138 870.79485 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 109 2.6053172 80.546073 0.12929361 0.99172549 840.65485 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 114 1.0790159 92.752582 0.12338867 0.91375378 809.12811 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 131 2.8701632 111.42168 0.051965509 0.91805121 796.19102 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 153 1.8339089 164.73137 0.017996324 0.89418874 820.17566 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 176 1.0290307 159.10529 0.032650032 0.90865653 798.65379 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 180 0.86151092 160.09165 0.080019939 0.95196651 855.09942 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 184 1.0484784 164.01961 0.12312911 0.99558761 764.25744 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 185 1.6272937 173.54763 0.084256541 0.87551294 794.54038 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 186 1.1004848 166.50238 0.012396207 0.93526972 760.35263 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 201 3.1952193 153.85285 0.039708881 0.87766256 830.35112 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 204 2.8317906 161.26665 0.098195805 0.85167847 830.59408 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 206 1.7226457 168.36892 0.13478767 0.88829533 824.36045 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 213 0.59242348 177.23104 0.026333249 0.86944141 826.65004 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 235 2.0394467 136.26140 0.060724996 0.97068208 823.43765 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 257 1.7393816 154.44547 0.018668766 0.92327491 831.06435 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 259 2.0516916 166.33005 0.062809052 0.86782660 810.42045 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 260 1.9687414 157.24529 0.018317405 0.87983122 777.47674 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 261 0.63810546 156.30145 0.074065208 1.0040577 780.09609 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 265 1.0713798 175.52338 0.036541607 0.87656472 856.71863 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 271 0.55500906 166.32432 0.078280896 0.82283411 901.94733 LOCATESKYLINES_2: sdR-r2-00034675.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 281 0.50252472 148.45581 0.056737248 0.93639660 831.65571 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 284 0.91102774 136.29232 0.031910322 0.91952987 844.65698 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 307 1.6395439 161.05600 0.13335476 0.87430498 873.01107 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 8 308 2.3363092 201.41015 0.043610783 0.86926189 797.50650 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 8 1.3137543 0.00038020502 0.074702388 0.91681392 0.99651766 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.0607060.0747020.006547 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 0 1.1381366 172.76231 0.058857507 0.95305710 816.94971 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 6 2.3302535 60.491344 0.14813876 0.95235612 919.82360 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 13 0.70980332 86.746981 0.19182186 0.95836226 901.88026 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 18 1.2824993 77.088465 0.057616280 0.94360609 882.49664 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 26 2.4709079 86.382635 0.067023049 0.97621126 1017.2500 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 52 2.9058685 76.487345 0.11864102 1.0250581 894.03627 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 60 2.2657459 98.294049 0.054665836 0.94396107 927.77145 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 63 1.4521824 98.453394 0.0043134362 0.92296949 922.79189 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 82 0.86412926 114.80806 0.012906631 0.89556478 916.97490 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 84 1.2809097 86.018636 0.028044351 0.89729668 931.57981 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 109 2.5096259 90.797073 0.035442051 0.99444502 878.34052 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 114 0.84770580 134.52047 0.074643653 0.87772403 866.18364 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 131 0.45025945 118.43347 0.019870066 0.89653118 926.54302 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 153 0.80389743 180.56602 0.058694011 0.85247901 1011.1853 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 176 1.7624537 163.68239 0.093608846 0.95292947 928.32572 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 180 3.5200004 172.46061 0.056141820 0.93447543 930.97382 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 184 0.84722302 168.25042 0.12561535 0.93833840 925.06615 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 185 0.16439412 151.82541 0.048056756 0.91272033 954.23927 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 186 0.25950028 170.57701 0.026508373 0.89759472 921.72769 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 201 2.7509095 133.25733 0.068420289 1.0046470 960.03149 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 204 2.1166470 143.91555 0.088573056 0.91618344 970.22979 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 206 0.69832827 158.78523 0.044344377 0.95794463 908.82742 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 213 1.4657263 185.96844 0.11667932 0.84366503 923.77465 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 235 1.2850783 174.86570 0.043413454 0.85261514 940.46393 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 257 0.26135894 167.06990 0.039046004 0.87612802 958.47197 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 259 0.91882624 179.38468 0.018392560 0.88738866 910.62906 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 260 1.7796899 178.42769 0.13222280 0.91982971 939.30579 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 261 3.5696923 189.68944 0.10300467 0.92319824 955.26106 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 265 1.0610150 146.37880 0.043717964 0.98576471 893.73579 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 271 2.7889887 160.70781 0.0099976340 0.90287625 952.20802 LOCATESKYLINES_2: sdR-r2-00034675.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 281 0.80948665 163.60982 0.027275840 0.88681032 934.88786 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 284 0.76892950 138.66308 0.037626613 0.97711489 835.56782 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 307 3.2744566 149.28476 0.092152830 0.97735364 913.49974 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 9 308 2.6818845 186.77951 0.081724635 0.89880846 965.59736 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 9 1.3675094 0.00039194104 0.062706227 0.92558665 0.99695647 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.0487100.0627060.005994 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 0 1.7843116 91.423833 0.12044235 0.86794561 776.75375 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 6 0.58148581 -20.012310 0.098974606 0.91898591 877.05648 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 13 2.0946769 29.320302 0.11851675 0.95674565 897.05311 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 18 0.36769362 19.601716 0.14920647 0.99563913 820.65195 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 26 3.7242156 53.612383 0.10463207 0.94876051 870.93041 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 52 0.40983797 40.465181 0.12096138 0.97811429 812.12864 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 60 0.83956234 51.047432 0.12447093 0.96447911 877.16130 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 63 1.3713808 51.534077 0.11064080 0.86168655 984.78894 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 82 2.2173384 30.794387 0.098345337 1.0312930 793.41831 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 84 1.8801162 -4.6219439 0.017134471 0.98334895 832.82339 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 109 0.65622065 41.464751 0.10547385 0.96598747 836.28067 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 114 1.9887061 39.127734 -0.011371909 0.92881669 893.55009 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 131 1.4367609 38.274195 0.098888463 0.96744846 816.15238 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 153 1.9132209 88.067720 0.092277018 0.93399599 880.08806 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 176 0.76045202 113.06046 0.13197283 0.92246333 859.23893 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 180 0.63457526 97.850273 0.10685988 0.92224016 870.62212 LOCATESKYLINES_2: sdR-r2-00034675.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 185 2.6713492 97.879990 0.093956967 0.87846532 923.94897 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 186 4.6431157 100.51013 0.11721596 0.95938989 845.76063 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 201 1.5691536 86.566817 0.095960314 0.94401859 873.29500 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 204 0.63272900 93.105736 0.13493096 0.86659188 923.80160 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 206 3.2130112 93.393074 0.094424353 0.96410366 836.08809 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 213 3.2554927 94.306380 0.064844381 0.90762566 859.82720 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 235 0.64085638 92.321496 0.070881380 0.88708602 825.55029 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 257 2.0428226 93.838099 0.072682030 0.92110823 853.38382 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 259 4.3378243 114.91621 0.15231290 0.91319898 868.52039 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 260 4.0603178 79.264481 0.080130691 0.96316617 841.03617 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 261 2.1170096 102.66993 0.061391224 0.88292871 967.97665 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 265 0.94154379 93.258436 0.097346342 0.87869738 894.65409 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 271 20.898061 99.957682 0.25109476 0.60000000 3025.7005 LOCATESKYLINES_2: sdR-r2-00034675.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 276 4.5249728 102.96675 0.085676370 0.92582616 888.07483 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 281 1.2670789 89.934552 0.059349837 0.90497411 896.72550 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 284 0.43507260 72.478149 0.066508747 0.85602677 947.17391 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 307 2.0471523 89.076837 0.076473674 0.89429865 905.08214 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 10 308 1.3061635 105.15943 0.064245910 0.91996620 871.25017 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 10 1.3542029 0.00019875058 0.093496192 0.92147556 0.99844907 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 297 of 297 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.0795000.0934960.006167 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 0 2.1960843 90.970920 0.13664253 0.95737541 844.65254 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 6 1.3819094 -12.114163 0.15874594 0.94551346 904.15195 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 13 1.0590700 57.100112 0.13367788 0.88253644 1008.3897 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 18 0.47305675 38.843426 0.15429321 1.0036455 952.19131 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 26 1.4934849 89.014979 0.12008519 0.91503660 945.62321 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 52 3.0871237 38.771797 0.13104636 1.0215282 903.44455 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 60 0.78612010 29.459376 0.16330004 0.97562427 997.73843 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 63 0.56818585 47.815390 0.15607704 0.96455774 936.23286 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 82 0.50074363 15.403779 0.10182902 1.0056010 1015.1833 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 84 3.4697556 22.313126 0.052517893 0.95419248 992.37495 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 109 0.67705433 44.828644 0.10233244 0.95199023 947.74526 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 114 4.0376680 67.982057 0.092006046 0.94840551 888.84985 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 131 2.4730084 49.789742 0.080148642 1.0393898 924.39019 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 153 1.4476378 82.248836 0.14818360 0.92406208 958.69635 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 176 2.0480643 103.43339 0.037105044 0.92374570 978.80743 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 180 0.72733930 105.15585 0.13784400 0.95431381 926.88412 LOCATESKYLINES_2: sdR-r2-00034675.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 185 2.3464599 126.14142 0.094280424 0.86079879 958.37714 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 186 2.7154836 110.83643 0.11618540 0.90137649 973.74881 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 201 2.0949302 93.351655 0.12509189 0.91930032 955.28878 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 204 2.2880444 88.262112 0.10042295 0.92368383 945.57071 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 206 0.71712275 109.07938 0.074072790 0.90359966 1008.3736 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 213 2.4458760 80.106688 0.079910390 0.91365917 1005.0436 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 235 0.48486545 101.39976 0.075458587 0.86212120 949.54640 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 257 2.4126680 106.08332 0.041874165 0.88807671 1012.4237 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 259 3.0193824 84.171680 0.073404545 0.90201716 1040.8136 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 260 2.3797684 96.445107 0.093268944 0.91977308 940.31360 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 261 3.2084459 125.49035 0.057489447 0.86366497 999.23145 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 265 1.8286517 108.44203 0.092441468 0.90313505 1006.5844 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 271 1.7387069 86.162573 0.048809811 0.88726112 1019.3614 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 276 1.6493292 99.823645 0.087856158 0.97192449 981.92322 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 281 0.76769561 75.376355 0.15308990 0.91978006 1003.2297 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 284 1.5651338 99.854577 0.046880733 0.87444533 977.04640 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 307 0.17811189 93.235147 0.084605771 0.96132250 1021.8262 LOCATESKYLINES_2: sdR-r2-00034675.fit: l,f,chi^2/dof,c: 11 308 1.0006757 98.758845 0.057030884 0.91459434 1043.8822 LOCATESKYLINES_2: sdR-r2-00034675.fit: comb1 l,chi^2/dof,fit: 11 1.4532414 0.00040630033 0.098653573 0.92432677 0.99871917 LOCATESKYLINES_2: sdR-r2-00034675.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034675.fit: offset, refoff, sigma: 0.0846570.0986540.005606 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034675.fit: Total rejected = 0 FITMEANX: sdR-r2-00034675.fit: In skyline number 0 std-dev is 0.021588243 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 1 std-dev is 0.031971222 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 2 std-dev is 0.058921006 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 3 std-dev is 0.044997503 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 4 std-dev is 0.048771387 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 5 std-dev is 0.047441630 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 6 std-dev is 0.033454750 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 7 std-dev is 0.028447672 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 8 std-dev is 0.031663503 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 9 std-dev is 0.036235715 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 10 std-dev is 0.031980523 pix FITMEANX: sdR-r2-00034675.fit: In skyline number 11 std-dev is 0.029183779 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 6300.3040 coadded std-dev is 0.00522661 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 6363.7760 coadded std-dev is 0.0124255 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 6553.6100 coadded std-dev is 0.0462821 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 6923.2100 coadded std-dev is 0.0262833 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 6949.0300 coadded std-dev is 0.0226828 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 7571.7500 coadded std-dev is 0.0205699 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 7794.1200 coadded std-dev is 0.0100990 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 7821.5100 coadded std-dev is 0.00835956 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 8399.1600 coadded std-dev is 0.00654743 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 8430.1700 coadded std-dev is 0.00599398 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 8885.8300 coadded std-dev is 0.00616682 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: In sky feature at 8919.6100 coadded std-dev is 0.00560620 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034675.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034675.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034675.fit: Median arc shift = 0.068852995 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: Dispersion in arc shift = 0.038216212 pix LOCATESKYLINES_2: sdR-r2-00034675.fit: Maximum sky-line shift is 0.15330120 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034675.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Number of sky fibers = 35 ROW NITER SIG(med) CHI^2 .0000 2 0.86 0.71 .0001 6 0.86 0.56 .0002 10 0.86 0.76 .0003 6 0.86 0.62 .0004 11 0.86 0.84 .0005 18 0.86 0.77 .0006 3 0.86 0.59 .0007 11 0.86 0.82 .0008 5 0.86 0.54 .0009 5 0.86 0.59 .0010 6 0.86 0.63 .0011 12 0.86 0.75 .0012 13 0.86 0.85 .0013 1 0.86 0.60 .0014 12 0.86 0.82 .0015 1 0.86 0.47 .0016 10 0.86 0.73 .0017 4 0.86 0.60 .0018 2 0.86 0.54 .0019 6 0.86 0.45 .0020 10 0.84 0.78 .0021 3 0.84 0.64 .0022 14 0.84 0.77 .0023 18 0.84 0.70 .0024 5 0.84 0.59 .0025 6 0.84 0.67 .0026 1 0.84 0.77 .0027 20 0.84 0.69 .0028 6 0.84 0.59 .0029 8 0.84 0.65 .0030 7 0.84 0.55 .0031 8 0.84 0.56 .0032 17 0.84 0.81 .0033 6 0.84 0.71 .0034 12 0.84 0.99 .0035 10 0.84 0.77 .0036 3 0.84 0.55 .0037 10 0.84 0.66 .0038 6 0.84 0.64 .0039 9 0.84 0.56 .0040 15 0.85 0.90 .0041 8 0.85 0.68 .0042 7 0.85 0.63 .0043 7 0.85 0.52 .0044 4 0.85 0.53 .0045 12 0.85 0.76 .0046 19 0.85 0.57 .0047 9 0.85 0.68 .0048 3 0.85 0.46 .0049 7 0.85 0.51 .0050 5 0.85 0.65 .0051 11 0.85 0.72 .0052 1 0.85 0.67 .0053 8 0.85 0.55 .0054 11 0.85 0.90 .0055 11 0.85 0.63 .0056 7 0.85 0.65 .0057 5 0.85 0.58 .0058 6 0.85 0.61 .0059 6 0.85 0.67 .0060 1 0.84 0.76 .0061 7 0.84 0.58 .0062 9 0.84 0.66 .0063 2 0.84 0.66 .0064 14 0.84 0.73 .0065 5 0.84 0.51 .0066 10 0.84 0.61 .0067 10 0.84 0.72 .0068 6 0.84 0.51 .0069 16 0.84 0.85 .0070 11 0.84 0.80 .0071 3 0.84 0.48 .0072 8 0.84 0.71 .0073 8 0.84 0.53 .0074 6 0.84 0.58 .0075 8 0.84 0.71 .0076 19 0.84 0.62 .0077 9 0.84 0.75 .0078 12 0.84 0.91 .0079 6 0.84 0.50 .0080 12 0.84 0.83 .0081 8 0.84 0.59 .0082 1 0.84 0.59 .0083 6 0.84 0.49 .0084 1 0.84 0.58 .0085 4 0.84 0.52 .0086 19 0.84 0.61 .0087 9 0.84 0.65 .0088 9 0.84 0.69 .0089 5 0.84 0.62 .0090 9 0.84 0.61 .0091 5 0.84 0.55 .0092 3 0.84 0.58 .0093 5 0.84 0.52 .0094 6 0.84 0.62 .0095 5 0.84 0.55 .0096 10 0.84 0.77 .0097 12 0.84 0.78 .0098 7 0.84 0.74 .0099 7 0.84 0.51 .0100 7 0.84 0.59 .0101 9 0.84 0.72 .0102 16 0.84 0.82 .0103 7 0.84 0.60 .0104 7 0.84 0.73 .0105 16 0.84 0.80 .0106 4 0.84 0.56 .0107 10 0.84 0.71 .0108 6 0.84 0.63 .0109 2 0.84 0.82 .0110 3 0.84 0.47 .0111 7 0.84 0.62 .0112 12 0.84 0.81 .0113 6 0.84 0.55 .0114 2 0.84 0.67 .0115 3 0.84 0.51 .0116 8 0.84 0.58 .0117 11 0.84 0.81 .0118 5 0.84 0.58 .0119 9 0.84 0.63 .0120 8 0.82 0.50 .0121 7 0.82 0.69 .0122 10 0.82 0.65 .0123 7 0.82 0.61 .0124 6 0.82 0.61 .0125 6 0.82 0.56 .0126 6 0.82 0.48 .0127 6 0.82 0.53 .0128 11 0.82 0.84 .0129 4 0.82 0.57 .0130 14 0.82 0.86 .0131 4 0.82 0.53 .0132 9 0.82 0.84 .0133 4 0.82 0.63 .0134 4 0.82 0.51 .0135 8 0.82 0.62 .0136 4 0.82 0.35 .0137 9 0.82 0.71 .0138 4 0.82 0.53 .0139 12 0.82 0.75 .0140 6 0.83 0.42 .0141 14 0.83 0.79 .0142 18 0.83 0.69 .0143 6 0.83 0.62 .0144 7 0.83 0.76 .0145 4 0.83 0.55 .0146 5 0.83 0.54 .0147 7 0.83 0.59 .0148 7 0.83 0.67 .0149 15 0.83 0.74 .0150 8 0.83 0.73 .0151 6 0.83 0.62 .0152 7 0.83 0.56 .0153 3 0.83 0.68 .0154 16 0.83 0.84 .0155 12 0.83 0.99 .0156 6 0.83 0.57 .0157 15 0.83 0.83 .0158 6 0.83 0.58 .0159 9 0.83 0.75 .0160 6 0.82 0.66 .0161 6 0.82 0.67 .0162 5 0.82 0.61 .0163 4 0.82 0.59 .0164 4 0.82 0.58 .0165 2 0.82 0.77 .0166 3 0.82 0.52 .0167 7 0.82 0.56 .0168 2 0.82 0.57 .0169 3 0.82 0.54 .0170 9 0.82 0.75 .0171 6 0.82 0.61 .0172 2 0.82 0.68 .0173 3 0.82 0.55 .0174 2 0.82 0.77 .0175 5 0.82 0.42 .0176 2 0.82 0.71 .0177 3 0.82 0.60 .0178 2 0.82 0.73 .0179 5 0.82 0.81 .0180 4 0.78 0.71 .0181 5 0.78 0.52 .0182 2 0.78 0.80 .0183 6 0.78 0.73 .0184 2 0.78 0.58 .0185 3 0.78 0.62 .0186 3 0.78 0.70 .0187 3 0.78 0.65 .0188 6 0.78 0.67 .0189 3 0.78 0.65 .0190 3 0.78 0.70 .0191 3 0.78 0.84 .0192 3 0.78 0.70 .0193 3 0.78 0.60 .0194 2 0.78 0.80 .0195 2 0.78 0.79 .0196 2 0.78 0.80 .0197 8 0.78 0.76 .0198 2 0.78 0.81 .0199 2 0.78 0.85 .0200 7 0.77 0.67 .0201 2 0.77 0.74 .0202 19 0.77 0.66 .0203 8 0.77 0.54 .0204 2 0.77 0.75 .0205 17 0.77 0.76 .0206 3 0.77 0.60 .0207 17 0.77 0.89 .0208 7 0.77 0.61 .0209 16 0.77 0.77 .0210 6 0.77 0.64 .0211 7 0.77 0.63 .0212 7 0.77 0.67 .0213 2 0.77 0.73 .0214 4 0.77 0.49 .0215 10 0.77 0.97 .0216 12 0.77 0.98 .0217 17 0.77 0.85 .0218 3 0.77 0.57 .0219 6 0.77 0.61 .0220 6 0.77 0.66 .0221 3 0.77 0.58 .0222 9 0.77 0.66 .0223 15 0.77 0.65 .0224 4 0.77 0.30 .0225 4 0.77 0.51 .0226 10 0.77 0.73 .0227 4 0.77 0.50 .0228 13 0.77 0.84 .0229 3 0.77 0.45 .0230 3 0.77 0.48 .0231 4 0.77 0.59 .0232 1 0.77 0.74 .0233 3 0.77 0.51 .0234 6 0.77 0.58 .0235 3 0.77 0.76 .0236 8 0.77 0.48 .0237 6 0.77 0.64 .0238 12 0.77 0.90 .0239 3 0.77 0.76 .0240 12 0.79 0.63 .0241 0 0.79 0.00 .0242 14 0.79 0.70 .0243 4 0.79 0.67 .0244 9 0.79 0.66 .0245 8 0.79 0.65 .0246 5 0.79 0.73 .0247 4 0.79 0.52 .0248 9 0.79 0.60 .0249 6 0.79 0.55 .0250 2 0.79 0.64 .0251 10 0.79 0.75 .0252 5 0.79 0.58 .0253 7 0.79 0.61 .0254 1 0.79 0.68 .0255 6 0.79 0.62 .0256 5 0.79 0.62 .0257 3 0.79 0.74 .0258 6 0.79 0.61 .0259 3 0.79 0.76 .0260 2 0.79 0.71 .0261 3 0.79 0.66 .0262 11 0.79 0.71 .0263 0 0.79 0.00 .0264 4 0.79 0.62 .0265 3 0.79 0.68 .0266 8 0.79 0.72 .0267 3 0.79 0.51 .0268 5 0.79 0.62 .0269 7 0.79 0.68 .0270 7 0.79 0.63 .0271 3 0.79 0.73 .0272 5 0.79 0.53 .0273 5 0.79 0.59 .0274 6 0.79 0.62 .0275 14 0.79 0.81 .0276 2 0.79 0.36 .0277 9 0.79 0.71 .0278 10 0.79 0.67 .0279 5 0.79 0.61 .0280 7 0.79 0.64 .0281 3 0.79 0.65 .0282 7 0.79 0.62 .0283 6 0.79 0.53 .0284 3 0.79 0.69 .0285 4 0.79 0.52 .0286 6 0.79 0.53 .0287 7 0.79 0.59 .0288 6 0.79 0.59 .0289 6 0.79 0.62 .0290 7 0.79 0.68 .0291 9 0.79 0.71 .0292 0 0.79 0.00 .0293 9 0.79 0.62 .0294 6 0.79 0.55 .0295 3 0.79 0.48 .0296 7 0.79 0.56 .0297 10 0.79 0.66 .0298 11 0.79 0.85 .0299 7 0.79 0.62 .0300 5 0.84 0.53 .0301 3 0.84 0.55 .0302 6 0.84 0.58 .0303 14 0.84 0.69 .0304 3 0.84 0.47 .0305 6 0.84 0.62 .0306 6 0.84 0.52 .0307 3 0.84 0.60 .0308 2 0.84 0.67 .0309 8 0.84 0.54 .0310 8 0.84 0.55 .0311 0 0.84 0.00 .0312 15 0.84 0.80 .0313 9 0.84 0.82 .0314 6 0.84 0.49 .0315 11 0.84 0.76 .0316 15 0.84 0.83 .0317 7 0.84 0.54 .0318 8 0.84 0.53 .0319 1 0.84 0.47 EXTRACT_IMAGE: sdR-r2-00034675.fit: masked 2204 pixels SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 0 median sigma(arc)= 0.92927892 sigma(sky)= 1.0642696 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 0 sigma^2(add)= 0.26910907 +/- 0.21337777 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 1 median sigma(arc)= 0.92132131 sigma(sky)= 0.80305921 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 1 sigma^2(add)= -0.16232910 +/- 0.47553918 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 2 median sigma(arc)= 0.89840865 sigma(sky)= -1661.9723 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 2 sigma^2(add)= 2762151.0 +/- 10354966. SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 3 median sigma(arc)= 0.85957800 sigma(sky)= 1.3499753 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 3 sigma^2(add)= 1.0868718 +/- 0.58963508 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 4 median sigma(arc)= 0.85723487 sigma(sky)= 1.3087557 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 4 sigma^2(add)= 1.0035747 +/- 0.50071954 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 5 median sigma(arc)= 0.82049185 sigma(sky)= 0.69458665 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 5 sigma^2(add)= 0.037760084 +/- 0.55037007 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 6 median sigma(arc)= 0.81843779 sigma(sky)= 0.87445940 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 6 sigma^2(add)= 0.10388516 +/- 0.23440448 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 7 median sigma(arc)= 0.81865261 sigma(sky)= 0.83107636 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 7 sigma^2(add)= 0.028278340 +/- 0.22955757 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 8 median sigma(arc)= 0.85009637 sigma(sky)= 0.86507301 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 8 sigma^2(add)= 0.046204170 +/- 0.15103417 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 9 median sigma(arc)= 0.85336207 sigma(sky)= 0.89533228 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 9 sigma^2(add)= 0.10943879 +/- 0.14708749 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 10 median sigma(arc)= 0.92234588 sigma(sky)= 0.85569723 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 10 sigma^2(add)= -0.063532376 +/- 0.12237405 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 11 median sigma(arc)= 0.92911573 sigma(sky)= 0.88187662 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Line # 11 sigma^2(add)= -0.0011749862 +/- 0.17638671 SKYLINE_DISPERSION: sdR-r2-00034675.fit: Flexure sigma^2(add) = 0.056757534 +/- 0.13453085 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034675.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034675.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034675.fit: Heliocentric correction = 22.999903 km/s FITVACSET: sdR-r2-00034675.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034675.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034675.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034675.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034675.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-r2-00034675.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-r2-00034675.fit: Airmass range = 1.32292 1.38134 SKYSUBTRACT: sdR-r2-00034675.fit: Discarding 0.00302124 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 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of 2046 Bin 1945 of 2046 Bin 1946 of 2046 Bin 1947 of 2046 Bin 1948 of 2046 Bin 1949 of 2046 Bin 1950 of 2046 Bin 1951 of 2046 Bin 1952 of 2046 Bin 1953 of 2046 Bin 1954 of 2046 Bin 1955 of 2046 Bin 1956 of 2046 Bin 1957 of 2046 Bin 1958 of 2046 Bin 1959 of 2046 Bin 1960 of 2046 Bin 1961 of 2046 Bin 1962 of 2046 Bin 1963 of 2046 Bin 1964 of 2046 Bin 1965 of 2046 Bin 1966 of 2046 Bin 1967 of 2046 Bin 1968 of 2046 Bin 1969 of 2046 Bin 1970 of 2046 Bin 1971 of 2046 Bin 1972 of 2046 Bin 1973 of 2046 Bin 1974 of 2046 Bin 1975 of 2046 Bin 1976 of 2046 Bin 1977 of 2046 Bin 1978 of 2046 Bin 1979 of 2046 Bin 1980 of 2046 Bin 1981 of 2046 Bin 1982 of 2046 Bin 1983 of 2046 Bin 1984 of 2046 Bin 1985 of 2046 Bin 1986 of 2046 Bin 1987 of 2046 Bin 1988 of 2046 Bin 1989 of 2046 Bin 1990 of 2046 Bin 1991 of 2046 Bin 1992 of 2046 Bin 1993 of 2046 Bin 1994 of 2046 Bin 1995 of 2046 Bin 1996 of 2046 Bin 1997 of 2046 Bin 1998 of 2046 Bin 1999 of 2046 Bin 2000 of 2046 Bin 2001 of 2046 Bin 2002 of 2046 Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034675.fit: Median sky-residual chi2 = 3.03336 SKYSUBTRACT: sdR-r2-00034675.fit: Max sky-residual chi2 = 8.33151 QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 14 = -68.9451 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 27 = -11.6944 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 53 = -56.8856 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 61 = -46.6135 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 64 = -59.2507 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 83 = -43.1954 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 110 = -48.7285 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 115 = -49.3558 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 132 = -32.7942 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 154 = 24.2704 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 177 = 21.8542 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 181 = 22.5573 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 186 = 18.5598 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 187 = 19.3815 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 202 = 13.6638 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 205 = 16.5980 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 207 = 18.8944 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 214 = 14.6688 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 258 = 22.3357 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 260 = 29.3856 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 261 = 14.0666 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 266 = 26.2901 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 272 = 19.1845 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 308 = 24.4894 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 309 = 36.3853 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Median sky-residual chi = 1.73143 QAPLOT_SKYSUB: sdR-r2-00034675.fit: Max sky-residual chi = 3.07879 at 7192.0138 Ang SKYSUBTRACT: sdR-r2-00034675.fit: Number of sky fibers = 29 SKYSUBTRACT: sdR-r2-00034675.fit: Airmass range = 1.32292 1.38134 SKYSUBTRACT: sdR-r2-00034675.fit: Discarding 0.00282866 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 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2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034675.fit: Median sky-residual chi2 = 1.98962 SKYSUBTRACT: sdR-r2-00034675.fit: Max sky-residual chi2 = 6.57380 QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 1 = 50.9525 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 14 = -24.7565 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 27 = 28.7484 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 53 = -24.6687 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 61 = -16.0952 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 64 = -29.4570 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 83 = -18.9357 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 110 = -33.0161 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 115 = -35.1240 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 132 = -22.2439 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 154 = 29.0578 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 177 = 20.5027 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 181 = 20.4805 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 186 = 15.2471 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 187 = 16.1074 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 207 = 10.8101 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 236 = -10.5916 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 260 = 10.5729 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 282 = -14.5553 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Warning: Median sky-sub flux in sky fiber 285 = -24.8495 electrons QAPLOT_SKYSUB: sdR-r2-00034675.fit: Median sky-residual chi = 1.39249 QAPLOT_SKYSUB: sdR-r2-00034675.fit: Max sky-residual chi = 2.57512 at 6224.8463 Ang QAPLOT_SKYLINE: sdR-r2-00034675.fit: Airmass range = 1.32 1.38 QAPLOT_SKYLINE: sdR-r2-00034675.fit: Flux dispersion for skyline 7343.0 = 5.39 % QAPLOT_SKYLINE: sdR-r2-00034675.fit: Airmass range = 1.32 1.38 QAPLOT_SKYLINE: sdR-r2-00034675.fit: Flux dispersion for skyline 8888.3 = 2.50 % SPADD_GUIDERINFO: sdR-r2-00034675.fit: Number of guider frames = 9 SPREDUCE: sdR-r2-00034675.fit: Elapsed time = 202. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 695. seconds SPREDUCE2D: Time to reduce camera r2 = 695. seconds SPREDUCE2D: Time to reduce all cameras = 2594. seconds SPREDUCE2D: Max memory usage = 496.0 MB SPREDUCE2D: Total time for SPREDUCE2D = 2594. seconds SPREDUCE2D: Successful completion of SPREDUCE2D at Fri Feb 5 10:42:23 2010 % Program caused arithmetic error: Floating divide by 0 % Program caused arithmetic error: Floating underflow % Program caused arithmetic error: Floating illegal operand SPREDUCE2D: Log file spDiag2d-2338-53683.log opened Fri Feb 5 10:42:23 2010 SPREDUCE2D: Plot file spDiag2d-2338-53683.ps SPREDUCE2D: IDL version: x86_64 linux unix linux 6.4 Apr 26 2007 64 64 SPREDUCE2D: UNAME: Linux hammer5.astro.Princeton.EDU 2.6.18-128.7.1.el5 #1 SMP Mon Aug 24 08:21:56 EDT 2009 x86_64 x86_64 x86_64 GNU/Linux SPREDUCE2D: DISPLAY=localhost:15.0 SPREDUCE2D: idlspec2d version NOCVS:v5_3 SPREDUCE2D: idlutils version v5_3_0 SPREDUCE2D: specflat version v1_7 svn: '/u/dss/spectro/103/speclog_hacks/bin' does not exist SPREDUCE2D: speclog version trunk SPREDUCE2D: Plan file spPlan2d-2338-53683.par SPREDUCE2D: DOCAMS = b1 b2 r1 r2 SPREDUCE2D: Begin plate 2338 at Fri Feb 5 10:42:23 2010 SPREDUCE2D: Plug map file = plPlugMapM-2338-53678-01.par READPLUGMAP: b1: Rescaling SCI_EXPTIME values by 240.10000 READPLUGMAP: b1: Adding fields from calibObj file READPLUGMAP: b1: LIED about EBV. Set to 0.3 PLUG2TSOBJ: b1: WARNING: calibObj file not found for plate 2338 READPLUGMAP: b1: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: b1: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: b1: Number of missing fibers: 3 SPCALIB: b1: Tracing flat # 1 of 2 SPCALIB: b1: Reading flat sdR-b1-00034750.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opECalib-51577.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.81448 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1220.93 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1202. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.09887 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1021.87 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1006. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Tracing 320 fibers in sdR-b1-00034750.fit TRACE320CEN: b1: Big gap at fiber= 20, x= 138.29, dx= 7.92 TRACE320CEN: b1: Big gap at fiber= 40, x= 264.86, dx= 8.11 TRACE320CEN: b1: Big gap at fiber= 60, x= 390.42, dx= 7.56 TRACE320CEN: b1: Big gap at fiber= 80, x= 516.86, dx= 8.70 TRACE320CEN: b1: Big gap at fiber= 100, x= 642.03, dx= 7.99 TRACE320CEN: b1: Big gap at fiber= 120, x= 767.61, dx= 8.54 TRACE320CEN: b1: Big gap at fiber= 140, x= 892.75, dx= 8.50 TRACE320CEN: b1: Big gap at fiber= 160, x=1017.23, dx= 7.96 TRACE320CEN: b1: Big gap at fiber= 180, x=1142.66, dx= 8.78 TRACE320CEN: b1: Big gap at fiber= 200, x=1267.62, dx= 7.75 TRACE320CEN: b1: Big gap at fiber= 220, x=1393.14, dx= 8.48 TRACE320CEN: b1: Big gap at fiber= 260, x=1643.92, dx= 8.24 TRACE320CEN: b1: Big gap at fiber= 280, x=1769.71, dx= 7.87 TRACE320CEN: b1: Big gap at fiber= 300, x=1896.29, dx= 8.37 TRACE320CRUDE: b1: Warning: Fixing traces: 90 91 163 164 251 294 SPCALIB: b1: Fitting traces in sdR-b1-00034750.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 3 2 2048 0 3 2048 2 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 2 13 2048 0 14 2048 0 15 2048 3 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 3 22 2048 0 23 2048 0 24 2048 3 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 5 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 3 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 1 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 1 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 3 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 1 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 1 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 2 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 2 167 2048 0 168 2048 0 169 2048 2 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 1 177 2048 0 178 2048 1 179 2048 1 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 1 200 2048 0 201 2048 0 202 2048 0 203 2048 2 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 1 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 1 218 2048 0 219 2048 1 220 2048 0 221 2048 1 222 2048 1 223 2048 1 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 1 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 5 235 2048 5 236 2048 1 237 2048 0 238 2048 1 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 2 247 2048 0 248 2048 0 249 2048 0 250 2048 1 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 2 256 2048 0 257 2048 0 258 2048 1 259 2048 0 260 2048 48 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 4 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 9 278 2048 62 279 2048 51 280 2048 0 281 2048 0 282 2048 0 283 2048 2 284 2048 0 285 2048 0 286 2048 2 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 1 300 2048 1 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 2 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 250 SPCALIB: b1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 1.30 .0004 1 1.00 1.31 .0005 1 1.00 1.33 .0006 1 1.00 1.20 .0007 1 1.00 1.24 .0008 1 1.00 1.22 .0009 1 1.00 1.30 .0010 2 1.00 1.41 .0011 1 1.00 1.18 .0012 1 1.00 1.19 .0013 1 1.00 1.22 .0014 1 1.00 1.16 .0015 1 1.00 1.26 .0016 1 1.00 1.20 .0017 1 1.00 1.20 .0018 1 1.00 1.21 .0019 1 1.00 1.23 .0020 1 1.00 1.23 .0021 1 1.00 1.39 .0022 1 1.00 1.16 .0023 1 1.00 1.24 .0024 1 1.00 1.28 .0025 1 1.00 1.27 .0026 2 1.00 1.24 .0027 1 1.00 1.40 .0028 1 1.00 1.37 .0029 1 1.00 1.32 .0030 1 1.00 1.37 .0031 1 1.00 1.36 .0032 1 1.00 1.45 .0033 1 1.00 1.39 .0034 1 1.00 1.36 .0035 2 1.00 1.57 .0036 3 1.00 1.49 .0037 1 1.00 1.51 .0038 2 1.00 1.57 .0039 2 1.00 1.57 .0040 1 1.00 1.48 .0041 1 1.00 1.52 .0042 2 1.00 1.58 .0043 1 1.00 1.51 .0044 1 1.00 1.46 .0045 1 1.00 1.69 .0046 1 1.00 1.53 .0047 1 1.00 1.64 .0048 1 1.00 1.58 .0049 1 1.00 1.51 .0050 1 1.00 1.69 .0051 1 1.00 1.67 .0052 1 1.00 1.54 .0053 1 1.00 1.63 .0054 1 1.00 1.62 .0055 1 1.00 1.75 .0056 1 1.00 1.68 .0057 1 1.00 1.57 .0058 1 1.00 1.71 .0059 1 1.00 1.68 .0060 1 1.00 1.69 .0061 1 1.00 1.65 .0062 1 1.00 1.74 .0063 1 1.00 1.60 .0064 1 1.00 1.72 .0065 1 1.00 1.75 .0066 1 1.00 1.72 .0067 1 1.00 1.75 .0068 1 1.00 1.70 .0069 1 1.00 1.71 .0070 1 1.00 1.79 .0071 2 1.00 1.90 .0072 1 1.00 1.72 .0073 1 1.00 1.79 .0074 1 1.00 1.66 .0075 1 1.00 1.77 .0076 1 1.00 1.74 .0077 1 1.00 1.75 .0078 1 1.00 1.80 .0079 1 1.00 1.79 .0080 2 1.00 1.74 .0081 1 1.00 1.78 .0082 1 1.00 1.84 .0083 1 1.00 1.85 .0084 1 1.00 1.90 .0085 1 1.00 1.92 .0086 1 1.00 1.95 .0087 1 1.00 1.85 .0088 1 1.00 1.93 .0089 1 1.00 1.81 .0090 1 1.00 1.86 .0091 2 1.00 1.94 .0092 1 1.00 1.95 .0093 1 1.00 1.73 .0094 1 1.00 1.90 .0095 1 1.00 1.82 .0096 1 1.00 1.83 .0097 1 1.00 1.92 .0098 1 1.00 1.84 .0099 1 1.00 1.94 .0100 1 1.00 1.80 .0101 1 1.00 1.96 .0102 1 1.00 1.85 .0103 1 1.00 1.77 .0104 1 1.00 1.82 .0105 1 1.00 1.84 .0106 1 1.00 1.85 .0107 1 1.00 1.88 .0108 1 1.00 1.95 .0109 1 1.00 1.83 .0110 1 1.00 1.94 .0111 1 1.00 1.85 .0112 1 1.00 1.96 .0113 1 1.00 1.94 .0114 1 1.00 1.81 .0115 1 1.00 1.81 .0116 1 1.00 1.79 .0117 1 1.00 2.08 .0118 1 1.00 1.93 .0119 1 1.00 1.91 .0120 1 1.00 1.95 .0121 1 1.00 1.81 .0122 1 1.00 2.00 .0123 1 1.00 1.85 .0124 1 1.00 1.89 .0125 1 1.00 1.96 .0126 1 1.00 1.95 .0127 1 1.00 1.98 .0128 1 1.00 1.93 .0129 1 1.00 2.01 .0130 1 1.00 1.89 .0131 1 1.00 1.88 .0132 1 1.00 1.88 .0133 1 1.00 1.84 .0134 1 1.00 1.91 .0135 1 1.00 1.95 .0136 1 1.00 1.99 .0137 1 1.00 1.81 .0138 1 1.00 2.04 .0139 1 1.00 1.87 .0140 1 1.00 1.83 .0141 1 1.00 1.95 .0142 1 1.00 1.83 .0143 1 1.00 1.95 .0144 1 1.00 1.94 .0145 1 1.00 1.88 .0146 1 1.00 1.90 .0147 1 1.00 1.99 .0148 1 1.00 1.98 .0149 1 1.00 2.10 .0150 1 1.00 1.84 .0151 2 1.00 1.84 .0152 1 1.00 1.93 .0153 1 1.00 1.94 .0154 1 1.00 2.27 .0155 1 1.00 2.09 .0156 1 1.00 1.83 .0157 1 1.00 1.87 .0158 1 1.00 1.88 .0159 1 1.00 1.88 .0160 1 1.00 1.86 .0161 1 1.00 1.90 .0162 1 1.00 2.05 .0163 1 1.00 1.85 .0164 1 1.00 1.90 .0165 1 1.00 1.83 .0166 1 1.00 1.73 .0167 1 1.00 2.23 .0168 2 1.00 2.06 .0169 2 1.00 1.93 .0170 1 1.00 2.02 .0171 1 1.00 2.02 .0172 1 1.00 1.94 .0173 1 1.00 1.92 .0174 1 1.00 1.89 .0175 1 1.00 1.92 .0176 1 1.00 1.94 .0177 1 1.00 1.90 .0178 1 1.00 2.05 .0179 1 1.00 1.97 .0180 1 1.00 1.97 .0181 1 1.00 1.91 .0182 1 1.00 1.94 .0183 2 1.00 2.18 .0184 1 1.00 2.00 .0185 1 1.00 1.95 .0186 1 1.00 1.94 .0187 1 1.00 1.94 .0188 1 1.00 1.89 .0189 1 1.00 1.92 .0190 1 1.00 1.89 .0191 1 1.00 1.90 .0192 1 1.00 1.88 .0193 1 1.00 2.01 .0194 1 1.00 2.06 .0195 1 1.00 2.02 .0196 1 1.00 2.01 .0197 1 1.00 2.03 .0198 3 1.00 2.16 .0199 1 1.00 2.10 .0200 1 1.00 2.13 .0201 1 1.00 2.03 .0202 1 1.00 2.03 .0203 1 1.00 1.95 .0204 1 1.00 1.95 .0205 1 1.00 1.99 .0206 1 1.00 2.03 .0207 1 1.00 1.87 .0208 1 1.00 2.19 .0209 1 1.00 1.96 .0210 1 1.00 2.03 .0211 1 1.00 2.14 .0212 1 1.00 2.00 .0213 1 1.00 2.00 .0214 1 1.00 1.99 .0215 1 1.00 2.11 .0216 2 1.00 2.07 .0217 2 1.00 2.18 .0218 1 1.00 2.09 .0219 1 1.00 2.02 .0220 1 1.00 1.98 .0221 1 1.00 2.11 .0222 1 1.00 2.05 .0223 1 1.00 2.22 .0224 1 1.00 2.05 .0225 1 1.00 2.19 .0226 1 1.00 2.10 .0227 1 1.00 2.25 .0228 2 1.00 2.24 .0229 1 1.00 2.37 .0230 1 1.00 2.19 .0231 1 1.00 2.04 .0232 1 1.00 2.31 .0233 1 1.00 2.65 .0234 1 1.00 2.43 .0235 1 1.00 2.23 .0236 1 1.00 2.21 .0237 1 1.00 2.25 .0238 1 1.00 2.19 .0239 1 1.00 2.27 .0240 1 1.00 2.29 .0241 1 1.00 2.28 .0242 1 1.00 2.39 .0243 1 1.00 2.67 .0244 1 1.00 2.58 .0245 1 1.00 2.43 .0246 1 1.00 2.53 .0247 1 1.00 2.55 .0248 1 1.00 2.44 .0249 1 1.00 2.54 .0250 1 1.00 2.42 .0251 1 1.00 2.64 .0252 1 1.00 2.68 .0253 1 1.00 2.53 .0254 1 1.00 2.58 .0255 1 1.00 2.60 .0256 1 1.00 2.71 .0257 1 1.00 2.75 .0258 1 1.00 2.62 .0259 1 1.00 2.85 .0260 1 1.00 2.79 .0261 1 1.00 2.76 .0262 1 1.00 2.71 .0263 1 1.00 2.93 .0264 1 1.00 2.97 .0265 1 1.00 2.94 .0266 1 1.00 2.97 .0267 2 1.00 3.04 .0268 1 1.00 3.08 .0269 1 1.00 2.99 .0270 1 1.00 3.00 .0271 1 1.00 3.00 .0272 1 1.00 3.01 .0273 1 1.00 3.25 .0274 1 1.00 3.11 .0275 1 1.00 3.09 .0276 1 1.00 3.16 .0277 1 1.00 3.14 .0278 1 1.00 3.13 .0279 1 1.00 3.40 .0280 1 1.00 3.20 .0281 1 1.00 3.30 .0282 1 1.00 3.29 .0283 1 1.00 3.27 .0284 1 1.00 3.27 .0285 1 1.00 3.38 .0286 1 1.00 3.43 .0287 1 1.00 3.17 .0288 1 1.00 3.42 .0289 1 1.00 3.35 .0290 1 1.00 3.43 .0291 1 1.00 3.43 .0292 1 1.00 3.75 .0293 1 1.00 3.68 .0294 1 1.00 3.61 .0295 1 1.00 3.58 .0296 1 1.00 3.82 .0297 1 1.00 3.70 .0298 1 1.00 3.95 .0299 1 1.00 3.67 .0300 1 1.00 3.70 .0301 1 1.00 3.80 .0302 1 1.00 3.92 .0303 1 1.00 3.74 .0304 1 1.00 3.86 .0305 1 1.00 3.82 .0306 1 1.00 3.64 .0307 1 1.00 3.97 .0308 1 1.00 3.95 .0309 1 1.00 3.89 .0310 1 1.00 3.85 .0311 1 1.00 4.07 .0312 1 1.00 4.14 .0313 1 1.00 4.14 .0314 1 1.00 4.18 .0315 1 1.00 4.11 .0316 1 1.00 4.14 .0317 1 1.00 3.98 .0318 1 1.00 4.08 .0319 1 1.00 4.45 .0320 1 1.00 4.07 .0321 1 1.00 4.37 .0322 1 1.00 3.97 .0323 1 1.00 4.30 .0324 1 1.00 4.53 .0325 1 1.00 4.29 .0326 1 1.00 4.45 .0327 1 1.00 4.32 .0328 1 1.00 4.31 .0329 1 1.00 4.48 .0330 1 1.00 4.43 .0331 1 1.00 4.52 .0332 1 1.00 4.28 .0333 1 1.00 4.39 .0334 1 1.00 4.33 .0335 1 1.00 4.69 .0336 1 1.00 4.46 .0337 1 1.00 4.46 .0338 1 1.00 4.63 .0339 1 1.00 4.53 .0340 1 1.00 4.68 .0341 1 1.00 4.82 .0342 1 1.00 4.68 .0343 1 1.00 4.59 .0344 1 1.00 4.75 .0345 1 1.00 4.94 .0346 1 1.00 5.57 .0347 1 1.00 4.58 .0348 1 1.00 4.75 .0349 1 1.00 4.86 .0350 1 1.00 4.94 .0351 1 1.00 5.14 .0352 1 1.00 4.92 .0353 1 1.00 5.01 .0354 1 1.00 4.80 .0355 1 1.00 4.83 .0356 1 1.00 5.44 .0357 1 1.00 5.13 .0358 1 1.00 4.97 .0359 1 1.00 4.84 .0360 1 1.00 4.92 .0361 1 1.00 5.14 .0362 1 1.00 4.99 .0363 1 1.00 5.20 .0364 1 1.00 5.32 .0365 1 1.00 5.35 .0366 1 1.00 5.72 .0367 3 1.00 5.43 .0368 1 1.00 5.19 .0369 1 1.00 5.48 .0370 1 1.00 5.30 .0371 1 1.00 5.41 .0372 1 1.00 5.27 .0373 1 1.00 5.42 .0374 1 1.00 5.42 .0375 1 1.00 5.60 .0376 1 1.00 5.46 .0377 1 1.00 5.49 .0378 1 1.00 5.43 .0379 1 1.00 5.47 .0380 1 1.00 5.53 .0381 1 1.00 5.42 .0382 1 1.00 5.68 .0383 1 1.00 5.64 .0384 1 1.00 5.57 .0385 1 1.00 5.49 .0386 1 1.00 5.76 .0387 1 1.00 5.73 .0388 1 1.00 5.70 .0389 1 1.00 5.71 .0390 1 1.00 5.51 .0391 1 1.00 5.88 .0392 2 1.00 6.28 .0393 2 1.00 6.98 .0394 2 1.00 5.71 .0395 1 1.00 6.06 .0396 1 1.00 6.02 .0397 1 1.00 5.89 .0398 1 1.00 6.05 .0399 1 1.00 5.83 .0400 1 1.00 5.70 .0401 1 1.00 5.75 .0402 1 1.00 5.96 .0403 1 1.00 5.87 .0404 1 1.00 5.87 .0405 1 1.00 5.99 .0406 1 1.00 5.86 .0407 1 1.00 6.00 .0408 1 1.00 6.26 .0409 1 1.00 6.16 .0410 1 1.00 5.88 .0411 1 1.00 6.03 .0412 1 1.00 6.44 .0413 1 1.00 6.36 .0414 1 1.00 6.02 .0415 1 1.00 6.22 .0416 1 1.00 5.96 .0417 1 1.00 6.17 .0418 1 1.00 6.00 .0419 1 1.00 6.30 .0420 1 1.00 6.09 .0421 1 1.00 6.04 .0422 1 1.00 6.30 .0423 1 1.00 6.11 .0424 1 1.00 6.12 .0425 1 1.00 6.29 .0426 1 1.00 6.60 .0427 1 1.00 6.25 .0428 1 1.00 6.51 .0429 1 1.00 6.23 .0430 1 1.00 6.33 .0431 1 1.00 6.55 .0432 1 1.00 6.27 .0433 2 1.00 6.42 .0434 1 1.00 6.22 .0435 1 1.00 6.53 .0436 1 1.00 6.36 .0437 1 1.00 6.38 .0438 1 1.00 6.37 .0439 1 1.00 6.32 .0440 1 1.00 6.66 .0441 1 1.00 6.54 .0442 1 1.00 6.45 .0443 1 1.00 6.75 .0444 1 1.00 6.67 .0445 1 1.00 6.64 .0446 1 1.00 6.39 .0447 1 1.00 6.25 .0448 1 1.00 6.49 .0449 1 1.00 6.52 .0450 1 1.00 6.53 .0451 1 1.00 6.57 .0452 1 1.00 6.73 .0453 1 1.00 6.56 .0454 1 1.00 6.79 .0455 1 1.00 6.63 .0456 1 1.00 6.72 .0457 1 1.00 6.98 .0458 2 1.00 6.75 .0459 1 1.00 6.56 .0460 1 1.00 6.74 .0461 1 1.00 6.81 .0462 1 1.00 6.70 .0463 1 1.00 6.85 .0464 1 1.00 6.65 .0465 1 1.00 6.76 .0466 1 1.00 6.83 .0467 1 1.00 6.96 .0468 1 1.00 6.95 .0469 1 1.00 7.02 .0470 1 1.00 6.78 .0471 1 1.00 7.07 .0472 1 1.00 6.68 .0473 1 1.00 6.65 .0474 1 1.00 6.81 .0475 1 1.00 6.98 .0476 2 1.00 7.21 .0477 1 1.00 7.12 .0478 1 1.00 6.86 .0479 1 1.00 6.82 .0480 1 1.00 6.56 .0481 1 1.00 6.81 .0482 1 1.00 6.71 .0483 1 1.00 6.87 .0484 1 1.00 6.84 .0485 1 1.00 6.78 .0486 1 1.00 6.62 .0487 1 1.00 6.63 .0488 1 1.00 6.73 .0489 1 1.00 6.57 .0490 1 1.00 6.62 .0491 1 1.00 6.90 .0492 1 1.00 6.77 .0493 1 1.00 7.08 .0494 1 1.00 6.79 .0495 2 1.00 6.87 .0496 1 1.00 6.66 .0497 1 1.00 6.87 .0498 1 1.00 6.53 .0499 1 1.00 6.49 .0500 1 1.00 6.69 .0501 1 1.00 6.89 .0502 1 1.00 6.59 .0503 1 1.00 6.55 .0504 1 1.00 6.66 .0505 1 1.00 6.82 .0506 1 1.00 6.98 .0507 1 1.00 6.65 .0508 1 1.00 6.90 .0509 1 1.00 6.63 .0510 1 1.00 6.51 .0511 1 1.00 6.67 .0512 1 1.00 6.69 .0513 1 1.00 6.64 .0514 1 1.00 6.76 .0515 1 1.00 6.53 .0516 1 1.00 6.58 .0517 1 1.00 6.62 .0518 1 1.00 7.16 .0519 1 1.00 6.82 .0520 1 1.00 6.57 .0521 1 1.00 6.81 .0522 1 1.00 6.64 .0523 1 1.00 6.69 .0524 1 1.00 6.59 .0525 1 1.00 6.49 .0526 1 1.00 6.54 .0527 1 1.00 6.43 .0528 1 1.00 6.77 .0529 1 1.00 6.62 .0530 1 1.00 6.64 .0531 1 1.00 6.61 .0532 1 1.00 6.39 .0533 1 1.00 6.81 .0534 1 1.00 6.43 .0535 1 1.00 6.72 .0536 1 1.00 6.64 .0537 1 1.00 6.54 .0538 1 1.00 6.59 .0539 1 1.00 6.44 .0540 1 1.00 6.52 .0541 1 1.00 6.77 .0542 1 1.00 6.69 .0543 1 1.00 7.11 .0544 1 1.00 6.54 .0545 1 1.00 6.48 .0546 1 1.00 6.51 .0547 1 1.00 6.40 .0548 1 1.00 6.54 .0549 1 1.00 6.60 .0550 1 1.00 6.51 .0551 1 1.00 6.66 .0552 1 1.00 6.60 .0553 1 1.00 6.63 .0554 1 1.00 6.51 .0555 1 1.00 6.41 .0556 1 1.00 6.38 .0557 1 1.00 6.31 .0558 1 1.00 6.32 .0559 1 1.00 6.51 .0560 1 1.00 6.24 .0561 1 1.00 6.48 .0562 1 1.00 6.26 .0563 1 1.00 6.29 .0564 1 1.00 6.26 .0565 1 1.00 6.25 .0566 1 1.00 6.63 .0567 1 1.00 6.34 .0568 1 1.00 6.85 .0569 1 1.00 6.15 .0570 1 1.00 6.24 .0571 1 1.00 6.03 .0572 1 1.00 6.05 .0573 1 1.00 5.99 .0574 1 1.00 6.15 .0575 1 1.00 6.37 .0576 1 1.00 6.15 .0577 1 1.00 6.07 .0578 1 1.00 6.20 .0579 1 1.00 6.03 .0580 1 1.00 5.97 .0581 1 1.00 6.08 .0582 1 1.00 6.08 .0583 1 1.00 5.90 .0584 1 1.00 7.18 .0585 1 1.00 6.40 .0586 1 1.00 6.10 .0587 1 1.00 6.08 .0588 1 1.00 6.13 .0589 1 1.00 5.94 .0590 1 1.00 5.99 .0591 1 1.00 6.07 .0592 1 1.00 5.94 .0593 1 1.00 6.10 .0594 1 1.00 5.89 .0595 1 1.00 5.95 .0596 1 1.00 5.97 .0597 1 1.00 5.98 .0598 1 1.00 6.08 .0599 1 1.00 5.85 .0600 1 1.00 6.06 .0601 1 1.00 5.89 .0602 1 1.00 5.89 .0603 1 1.00 6.01 .0604 1 1.00 6.00 .0605 1 1.00 5.71 .0606 1 1.00 6.02 .0607 1 1.00 5.98 .0608 1 1.00 6.08 .0609 1 1.00 5.87 .0610 1 1.00 5.86 .0611 1 1.00 5.92 .0612 1 1.00 5.82 .0613 1 1.00 6.19 .0614 1 1.00 5.75 .0615 1 1.00 6.04 .0616 1 1.00 5.97 .0617 1 1.00 5.94 .0618 1 1.00 5.91 .0619 1 1.00 5.86 .0620 1 1.00 5.75 .0621 1 1.00 5.92 .0622 1 1.00 6.00 .0623 1 1.00 5.83 .0624 1 1.00 5.73 .0625 1 1.00 5.99 .0626 1 1.00 5.70 .0627 1 1.00 5.80 .0628 1 1.00 5.73 .0629 1 1.00 5.81 .0630 1 1.00 5.63 .0631 1 1.00 5.85 .0632 1 1.00 5.86 .0633 1 1.00 5.71 .0634 1 1.00 5.80 .0635 1 1.00 5.74 .0636 1 1.00 5.84 .0637 1 1.00 5.65 .0638 1 1.00 5.77 .0639 1 1.00 5.72 .0640 1 1.00 5.61 .0641 1 1.00 5.67 .0642 1 1.00 5.71 .0643 1 1.00 5.68 .0644 1 1.00 5.70 .0645 1 1.00 5.71 .0646 1 1.00 5.60 .0647 1 1.00 6.11 .0648 1 1.00 5.53 .0649 1 1.00 5.46 .0650 1 1.00 5.45 .0651 1 1.00 5.70 .0652 1 1.00 5.62 .0653 1 1.00 5.72 .0654 2 1.00 5.52 .0655 1 1.00 5.70 .0656 1 1.00 5.72 .0657 1 1.00 5.61 .0658 1 1.00 5.64 .0659 1 1.00 5.69 .0660 1 1.00 5.60 .0661 1 1.00 5.77 .0662 1 1.00 5.64 .0663 1 1.00 5.58 .0664 1 1.00 5.60 .0665 1 1.00 5.40 .0666 1 1.00 5.63 .0667 1 1.00 5.62 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.2000 1 1.00 2.70 .2001 1 1.00 2.76 .2002 1 1.00 2.63 .2003 1 1.00 2.66 .2004 1 1.00 2.69 .2005 1 1.00 2.73 .2006 1 1.00 2.85 .2007 1 1.00 2.92 .2008 1 1.00 2.64 .2009 1 1.00 2.64 .2010 1 1.00 2.55 .2011 1 1.00 2.74 .2012 1 1.00 2.60 .2013 1 1.00 2.89 .2014 2 1.00 2.71 .2015 1 1.00 2.85 .2016 1 1.00 2.58 .2017 1 1.00 2.45 .2018 1 1.00 2.55 .2019 1 1.00 2.63 .2020 1 1.00 2.51 .2021 2 1.00 2.38 .2022 1 1.00 2.60 .2023 1 1.00 2.43 .2024 1 1.00 2.68 .2025 1 1.00 2.49 .2026 1 1.00 2.42 .2027 1 1.00 2.55 .2028 1 1.00 2.40 .2029 1 1.00 2.42 .2030 1 1.00 2.49 .2031 1 1.00 2.45 .2032 1 1.00 2.36 .2033 1 1.00 2.41 .2034 1 1.00 2.36 .2035 1 1.00 2.62 .2036 1 1.00 2.42 .2037 1 1.00 2.45 .2038 1 1.00 2.40 .2039 1 1.00 2.30 .2040 1 1.00 2.41 .2041 1 1.00 2.48 .2042 1 1.00 2.59 .2043 1 1.00 2.42 .2044 1 1.00 2.39 .2045 1 1.00 2.26 .2046 1 1.00 2.48 .2047 1 1.00 2.45 EXTRACT_IMAGE: b1: masked 77 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITFLATWIDTH: b1: Median spatial widths = 0.98 0.97 1.00 0.98 pix (LL LR UL UR) SPCALIB: b1: Using Cubic, median chi squareds: vs SPCALIB: b1: Found 0 bright pixels in extracted flat sdR-b1-00034750.fit SPCALIB: b1: Tracing flat # 2 of 2 SPCALIB: b1: Reading flat sdR-b1-00034756.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.77900 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1221.40 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1202. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.10148 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1021.81 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1006. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Tracing 320 fibers in sdR-b1-00034756.fit TRACE320CEN: b1: Big gap at fiber= 20, x= 138.25, dx= 7.93 TRACE320CEN: b1: Big gap at fiber= 40, x= 264.83, dx= 8.12 TRACE320CEN: b1: Big gap at fiber= 60, x= 390.37, dx= 7.56 TRACE320CEN: b1: Big gap at fiber= 80, x= 516.81, dx= 8.71 TRACE320CEN: b1: Big gap at fiber= 100, x= 641.99, dx= 8.00 TRACE320CEN: b1: Big gap at fiber= 120, x= 767.54, dx= 8.53 TRACE320CEN: b1: Big gap at fiber= 140, x= 892.69, dx= 8.50 TRACE320CEN: b1: Big gap at fiber= 160, x=1017.17, dx= 7.96 TRACE320CEN: b1: Big gap at fiber= 180, x=1142.58, dx= 8.77 TRACE320CEN: b1: Big gap at fiber= 200, x=1267.52, dx= 7.72 TRACE320CEN: b1: Big gap at fiber= 220, x=1393.07, dx= 8.51 TRACE320CEN: b1: Big gap at fiber= 260, x=1643.83, dx= 8.26 TRACE320CEN: b1: Big gap at fiber= 280, x=1769.61, dx= 7.86 TRACE320CEN: b1: Big gap at fiber= 300, x=1896.18, dx= 8.35 TRACE320CRUDE: b1: Warning: Fixing traces: 90 91 163 164 251 294 SPCALIB: b1: Fitting traces in sdR-b1-00034756.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 2 2 2048 0 3 2048 1 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 2 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 1 18 2048 0 19 2048 2 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 1 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 3 31 2048 0 32 2048 1 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 1 47 2048 0 48 2048 3 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 1 54 2048 2 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 3 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 1 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 1 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 2 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 1 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 3 156 2048 0 157 2048 1 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 1 178 2048 0 179 2048 0 180 2048 0 181 2048 4 182 2048 4 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 1 193 2048 0 194 2048 0 195 2048 1 196 2048 0 197 2048 1 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 8 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 1 226 2048 0 227 2048 0 228 2048 1 229 2048 0 230 2048 0 231 2048 3 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 1 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 1 243 2048 0 244 2048 0 245 2048 0 246 2048 2 247 2048 0 248 2048 5 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 2 254 2048 1 255 2048 0 256 2048 0 257 2048 1 258 2048 2 259 2048 2 260 2048 18 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 3 268 2048 1 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 18 278 2048 33 279 2048 48 280 2048 0 281 2048 0 282 2048 1 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 2 291 2048 1 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 2 300 2048 0 301 2048 0 302 2048 0 303 2048 1 304 2048 0 305 2048 0 306 2048 0 307 2048 4 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 206 SPCALIB: b1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 4 1.00 1.31 .0004 2 1.00 1.49 .0005 2 1.00 1.38 .0006 1 1.00 1.25 .0007 1 1.00 1.26 .0008 1 1.00 1.16 .0009 1 1.00 1.23 .0010 1 1.00 1.18 .0011 1 1.00 1.19 .0012 1 1.00 1.24 .0013 1 1.00 1.20 .0014 1 1.00 1.17 .0015 1 1.00 1.20 .0016 1 1.00 1.24 .0017 1 1.00 1.32 .0018 1 1.00 1.22 .0019 1 1.00 1.26 .0020 1 1.00 1.25 .0021 1 1.00 1.23 .0022 1 1.00 1.27 .0023 1 1.00 1.34 .0024 1 1.00 1.27 .0025 1 1.00 1.25 .0026 1 1.00 1.30 .0027 1 1.00 1.29 .0028 1 1.00 1.26 .0029 1 1.00 1.30 .0030 1 1.00 1.48 .0031 1 1.00 1.37 .0032 2 1.00 1.43 .0033 2 1.00 1.32 .0034 1 1.00 1.47 .0035 1 1.00 1.41 .0036 1 1.00 1.50 .0037 1 1.00 1.50 .0038 1 1.00 1.59 .0039 1 1.00 1.49 .0040 1 1.00 1.48 .0041 1 1.00 1.45 .0042 1 1.00 1.44 .0043 1 1.00 1.55 .0044 1 1.00 1.56 .0045 1 1.00 1.50 .0046 1 1.00 1.49 .0047 1 1.00 1.60 .0048 1 1.00 1.55 .0049 1 1.00 1.59 .0050 1 1.00 1.65 .0051 1 1.00 1.68 .0052 1 1.00 1.69 .0053 1 1.00 1.59 .0054 2 1.00 1.72 .0055 1 1.00 1.69 .0056 1 1.00 1.72 .0057 1 1.00 1.61 .0058 1 1.00 1.68 .0059 1 1.00 1.81 .0060 1 1.00 1.67 .0061 1 1.00 1.68 .0062 1 1.00 1.81 .0063 1 1.00 1.69 .0064 1 1.00 1.72 .0065 1 1.00 1.75 .0066 1 1.00 1.80 .0067 1 1.00 1.75 .0068 1 1.00 1.74 .0069 1 1.00 1.88 .0070 1 1.00 1.75 .0071 1 1.00 1.77 .0072 1 1.00 1.81 .0073 1 1.00 1.68 .0074 1 1.00 1.70 .0075 1 1.00 1.70 .0076 1 1.00 1.94 .0077 2 1.00 1.83 .0078 1 1.00 1.87 .0079 1 1.00 1.82 .0080 2 1.00 1.80 .0081 1 1.00 1.75 .0082 1 1.00 2.11 .0083 1 1.00 1.80 .0084 1 1.00 1.84 .0085 1 1.00 1.74 .0086 1 1.00 1.90 .0087 1 1.00 1.88 .0088 2 1.00 1.83 .0089 1 1.00 1.83 .0090 1 1.00 1.86 .0091 1 1.00 1.81 .0092 1 1.00 1.82 .0093 1 1.00 1.82 .0094 1 1.00 1.75 .0095 1 1.00 1.70 .0096 1 1.00 1.88 .0097 1 1.00 1.90 .0098 1 1.00 1.77 .0099 1 1.00 1.87 .0100 1 1.00 1.80 .0101 1 1.00 1.77 .0102 1 1.00 1.86 .0103 1 1.00 1.91 .0104 1 1.00 1.80 .0105 1 1.00 1.86 .0106 1 1.00 1.76 .0107 1 1.00 1.83 .0108 1 1.00 1.84 .0109 1 1.00 1.87 .0110 1 1.00 1.85 .0111 1 1.00 1.82 .0112 1 1.00 1.80 .0113 1 1.00 1.85 .0114 1 1.00 1.92 .0115 1 1.00 1.91 .0116 1 1.00 1.94 .0117 1 1.00 1.93 .0118 1 1.00 1.91 .0119 1 1.00 1.96 .0120 2 1.00 2.06 .0121 4 1.00 2.25 .0122 1 1.00 1.90 .0123 1 1.00 1.82 .0124 1 1.00 1.91 .0125 1 1.00 1.91 .0126 1 1.00 1.82 .0127 1 1.00 2.01 .0128 1 1.00 1.88 .0129 1 1.00 1.91 .0130 1 1.00 1.86 .0131 1 1.00 1.91 .0132 1 1.00 1.92 .0133 2 1.00 1.90 .0134 1 1.00 1.97 .0135 1 1.00 2.13 .0136 1 1.00 1.95 .0137 1 1.00 1.82 .0138 1 1.00 1.79 .0139 1 1.00 1.98 .0140 1 1.00 1.89 .0141 1 1.00 1.95 .0142 1 1.00 1.94 .0143 1 1.00 1.90 .0144 1 1.00 1.83 .0145 1 1.00 1.91 .0146 1 1.00 1.83 .0147 1 1.00 1.89 .0148 1 1.00 1.93 .0149 1 1.00 1.95 .0150 1 1.00 1.94 .0151 1 1.00 1.96 .0152 1 1.00 2.01 .0153 1 1.00 1.87 .0154 1 1.00 1.83 .0155 1 1.00 1.97 .0156 1 1.00 1.87 .0157 1 1.00 1.82 .0158 1 1.00 1.88 .0159 1 1.00 1.80 .0160 1 1.00 1.86 .0161 1 1.00 1.85 .0162 1 1.00 1.97 .0163 1 1.00 1.95 .0164 2 1.00 2.11 .0165 2 1.00 1.95 .0166 2 1.00 1.90 .0167 2 1.00 1.90 .0168 1 1.00 1.95 .0169 1 1.00 1.95 .0170 1 1.00 1.98 .0171 1 1.00 1.93 .0172 1 1.00 1.96 .0173 1 1.00 1.87 .0174 1 1.00 1.78 .0175 1 1.00 1.94 .0176 1 1.00 1.90 .0177 1 1.00 1.91 .0178 1 1.00 1.94 .0179 1 1.00 1.83 .0180 1 1.00 1.84 .0181 1 1.00 1.90 .0182 1 1.00 1.90 .0183 1 1.00 1.89 .0184 1 1.00 1.94 .0185 1 1.00 1.96 .0186 1 1.00 1.97 .0187 1 1.00 2.04 .0188 1 1.00 2.07 .0189 1 1.00 1.83 .0190 1 1.00 1.87 .0191 1 1.00 1.95 .0192 1 1.00 1.83 .0193 1 1.00 1.98 .0194 1 1.00 1.99 .0195 2 1.00 1.99 .0196 1 1.00 2.04 .0197 1 1.00 1.97 .0198 1 1.00 1.89 .0199 1 1.00 2.02 .0200 1 1.00 1.89 .0201 1 1.00 2.01 .0202 1 1.00 1.91 .0203 1 1.00 1.93 .0204 1 1.00 1.95 .0205 1 1.00 2.04 .0206 1 1.00 1.98 .0207 1 1.00 2.02 .0208 1 1.00 2.06 .0209 3 1.00 2.34 .0210 1 1.00 1.99 .0211 1 1.00 2.01 .0212 1 1.00 2.46 .0213 1 1.00 1.99 .0214 2 1.00 2.15 .0215 3 1.00 2.36 .0216 1 1.00 1.88 .0217 1 1.00 2.09 .0218 3 1.00 2.17 .0219 1 1.00 2.24 .0220 1 1.00 2.11 .0221 1 1.00 2.03 .0222 1 1.00 2.26 .0223 1 1.00 2.10 .0224 1 1.00 2.25 .0225 1 1.00 2.15 .0226 1 1.00 2.04 .0227 1 1.00 2.05 .0228 1 1.00 2.21 .0229 1 1.00 2.16 .0230 1 1.00 2.16 .0231 1 1.00 2.24 .0232 2 1.00 2.12 .0233 1 1.00 2.10 .0234 1 1.00 2.24 .0235 1 1.00 2.20 .0236 1 1.00 2.32 .0237 1 1.00 2.27 .0238 2 1.00 2.33 .0239 2 1.00 2.27 .0240 1 1.00 2.46 .0241 2 1.00 2.37 .0242 1 1.00 2.46 .0243 1 1.00 2.26 .0244 1 1.00 2.40 .0245 1 1.00 2.40 .0246 1 1.00 2.42 .0247 1 1.00 2.41 .0248 1 1.00 2.42 .0249 1 1.00 2.42 .0250 1 1.00 2.47 .0251 1 1.00 2.48 .0252 1 1.00 2.54 .0253 1 1.00 2.39 .0254 1 1.00 2.69 .0255 1 1.00 2.61 .0256 1 1.00 2.79 .0257 1 1.00 2.70 .0258 1 1.00 2.73 .0259 3 1.00 2.68 .0260 1 1.00 2.82 .0261 1 1.00 2.73 .0262 1 1.00 2.91 .0263 1 1.00 2.83 .0264 1 1.00 2.82 .0265 1 1.00 2.98 .0266 1 1.00 2.82 .0267 1 1.00 2.86 .0268 1 1.00 2.82 .0269 2 1.00 2.85 .0270 1 1.00 3.08 .0271 1 1.00 2.88 .0272 1 1.00 2.93 .0273 1 1.00 3.03 .0274 1 1.00 3.09 .0275 1 1.00 2.98 .0276 1 1.00 3.16 .0277 1 1.00 3.11 .0278 1 1.00 3.04 .0279 1 1.00 3.22 .0280 1 1.00 3.20 .0281 1 1.00 3.02 .0282 1 1.00 3.10 .0283 1 1.00 3.20 .0284 2 1.00 3.70 .0285 1 1.00 3.93 .0286 3 1.00 3.34 .0287 1 1.00 3.28 .0288 1 1.00 3.10 .0289 1 1.00 3.35 .0290 1 1.00 3.30 .0291 1 1.00 3.25 .0292 1 1.00 3.40 .0293 1 1.00 3.41 .0294 1 1.00 3.55 .0295 1 1.00 3.30 .0296 1 1.00 3.64 .0297 1 1.00 3.46 .0298 1 1.00 3.47 .0299 1 1.00 3.55 .0300 1 1.00 3.50 .0301 1 1.00 3.61 .0302 1 1.00 3.68 .0303 1 1.00 3.61 .0304 1 1.00 3.81 .0305 1 1.00 3.76 .0306 1 1.00 4.02 .0307 2 1.00 3.80 .0308 1 1.00 4.00 .0309 1 1.00 3.75 .0310 1 1.00 4.31 .0311 1 1.00 3.89 .0312 1 1.00 3.74 .0313 1 1.00 3.77 .0314 1 1.00 4.00 .0315 1 1.00 3.93 .0316 1 1.00 3.82 .0317 1 1.00 4.02 .0318 1 1.00 4.00 .0319 1 1.00 4.18 .0320 1 1.00 3.92 .0321 1 1.00 3.91 .0322 1 1.00 4.22 .0323 2 1.00 4.23 .0324 1 1.00 4.01 .0325 1 1.00 4.14 .0326 1 1.00 4.11 .0327 1 1.00 4.15 .0328 1 1.00 4.19 .0329 1 1.00 4.45 .0330 1 1.00 4.23 .0331 1 1.00 4.30 .0332 1 1.00 4.57 .0333 2 1.00 4.36 .0334 2 1.00 4.34 .0335 1 1.00 4.24 .0336 1 1.00 4.27 .0337 1 1.00 4.40 .0338 1 1.00 4.49 .0339 1 1.00 4.54 .0340 1 1.00 4.57 .0341 1 1.00 4.48 .0342 1 1.00 4.56 .0343 1 1.00 4.45 .0344 1 1.00 4.47 .0345 1 1.00 4.75 .0346 1 1.00 4.67 .0347 1 1.00 4.69 .0348 1 1.00 4.49 .0349 1 1.00 4.52 .0350 1 1.00 4.79 .0351 1 1.00 4.74 .0352 1 1.00 4.65 .0353 1 1.00 4.59 .0354 1 1.00 4.64 .0355 2 1.00 4.69 .0356 2 1.00 4.85 .0357 1 1.00 4.88 .0358 1 1.00 4.84 .0359 1 1.00 4.81 .0360 1 1.00 4.67 .0361 1 1.00 4.94 .0362 1 1.00 5.10 .0363 1 1.00 4.86 .0364 1 1.00 5.20 .0365 1 1.00 5.07 .0366 1 1.00 5.00 .0367 1 1.00 4.98 .0368 1 1.00 4.92 .0369 1 1.00 4.98 .0370 1 1.00 5.28 .0371 1 1.00 5.12 .0372 1 1.00 5.13 .0373 1 1.00 5.22 .0374 1 1.00 5.18 .0375 1 1.00 5.35 .0376 1 1.00 5.27 .0377 1 1.00 5.18 .0378 1 1.00 5.18 .0379 1 1.00 5.53 .0380 1 1.00 5.40 .0381 1 1.00 5.48 .0382 1 1.00 5.31 .0383 1 1.00 5.18 .0384 1 1.00 5.26 .0385 1 1.00 4.99 .0386 1 1.00 5.32 .0387 1 1.00 5.30 .0388 1 1.00 5.42 .0389 1 1.00 5.50 .0390 1 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1.00 4.98 .1612 1 1.00 4.71 .1613 1 1.00 5.00 .1614 2 1.00 4.80 .1615 1 1.00 5.28 .1616 1 1.00 4.74 .1617 1 1.00 4.66 .1618 1 1.00 5.05 .1619 1 1.00 4.90 .1620 2 1.00 4.91 .1621 1 1.00 5.12 .1622 1 1.00 4.88 .1623 1 1.00 4.56 .1624 1 1.00 4.81 .1625 1 1.00 5.09 .1626 1 1.00 4.84 .1627 1 1.00 5.07 .1628 1 1.00 4.56 .1629 1 1.00 4.78 .1630 1 1.00 4.91 .1631 1 1.00 4.70 .1632 1 1.00 4.67 .1633 1 1.00 4.82 .1634 1 1.00 4.74 .1635 1 1.00 4.67 .1636 1 1.00 4.79 .1637 1 1.00 4.90 .1638 1 1.00 5.25 .1639 1 1.00 5.08 .1640 1 1.00 4.93 .1641 1 1.00 4.78 .1642 1 1.00 4.90 .1643 1 1.00 4.84 .1644 1 1.00 4.55 .1645 1 1.00 4.73 .1646 1 1.00 4.58 .1647 1 1.00 4.74 .1648 1 1.00 4.50 .1649 1 1.00 4.47 .1650 1 1.00 4.90 .1651 1 1.00 4.77 .1652 1 1.00 5.02 .1653 1 1.00 4.81 .1654 1 1.00 4.53 .1655 1 1.00 4.52 .1656 1 1.00 4.67 .1657 1 1.00 4.68 .1658 1 1.00 4.51 .1659 1 1.00 4.66 .1660 1 1.00 4.56 .1661 1 1.00 4.50 .1662 1 1.00 4.51 .1663 1 1.00 4.56 .1664 1 1.00 4.66 .1665 1 1.00 4.55 .1666 1 1.00 4.55 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1.00 4.09 .1723 1 1.00 4.16 .1724 1 1.00 4.00 .1725 1 1.00 4.14 .1726 1 1.00 4.05 .1727 1 1.00 3.85 .1728 1 1.00 4.13 .1729 1 1.00 3.90 .1730 1 1.00 3.95 .1731 1 1.00 3.86 .1732 1 1.00 3.92 .1733 1 1.00 3.79 .1734 1 1.00 3.96 .1735 1 1.00 3.96 .1736 1 1.00 3.96 .1737 1 1.00 4.01 .1738 1 1.00 3.94 .1739 1 1.00 3.92 .1740 1 1.00 3.92 .1741 1 1.00 3.91 .1742 1 1.00 3.98 .1743 1 1.00 3.84 .1744 1 1.00 3.98 .1745 1 1.00 3.95 .1746 1 1.00 3.82 .1747 1 1.00 4.08 .1748 1 1.00 4.16 .1749 1 1.00 3.83 .1750 1 1.00 3.79 .1751 1 1.00 4.22 .1752 1 1.00 4.48 .1753 1 1.00 3.94 .1754 1 1.00 3.97 .1755 1 1.00 3.90 .1756 2 1.00 4.03 .1757 1 1.00 3.94 .1758 1 1.00 4.02 .1759 2 1.00 4.00 .1760 1 1.00 3.83 .1761 1 1.00 3.91 .1762 2 1.00 3.82 .1763 1 1.00 3.90 .1764 1 1.00 3.96 .1765 1 1.00 3.96 .1766 1 1.00 3.92 .1767 1 1.00 3.82 .1768 1 1.00 3.79 .1769 1 1.00 3.97 .1770 3 1.00 4.00 .1771 3 1.00 3.95 .1772 1 1.00 3.96 .1773 1 1.00 4.00 .1774 1 1.00 4.31 .1775 1 1.00 3.66 .1776 1 1.00 4.06 .1777 1 1.00 4.05 .1778 2 1.00 4.17 .1779 3 1.00 3.80 .1780 3 1.00 3.86 .1781 1 1.00 4.13 .1782 2 1.00 3.79 .1783 1 1.00 4.21 .1784 2 1.00 4.60 .1785 1 1.00 3.55 .1786 1 1.00 3.75 .1787 1 1.00 3.60 .1788 1 1.00 3.57 .1789 1 1.00 3.76 .1790 1 1.00 3.72 .1791 1 1.00 3.49 .1792 2 1.00 3.66 .1793 1 1.00 3.59 .1794 1 1.00 3.67 .1795 1 1.00 3.80 .1796 1 1.00 3.58 .1797 1 1.00 3.74 .1798 1 1.00 3.99 .1799 1 1.00 3.80 .1800 1 1.00 3.54 .1801 1 1.00 3.58 .1802 1 1.00 4.06 .1803 1 1.00 3.82 .1804 1 1.00 3.65 .1805 1 1.00 3.75 .1806 1 1.00 3.64 .1807 1 1.00 3.73 .1808 1 1.00 3.72 .1809 1 1.00 4.03 .1810 1 1.00 3.67 .1811 1 1.00 3.83 .1812 2 1.00 3.90 .1813 1 1.00 3.86 .1814 1 1.00 3.63 .1815 1 1.00 3.62 .1816 1 1.00 3.62 .1817 1 1.00 3.86 .1818 2 1.00 3.71 .1819 1 1.00 3.85 .1820 1 1.00 3.67 .1821 1 1.00 3.68 .1822 2 1.00 4.24 .1823 1 1.00 4.02 .1824 1 1.00 3.86 .1825 1 1.00 3.61 .1826 1 1.00 3.71 .1827 1 1.00 3.81 .1828 2 1.00 3.82 .1829 1 1.00 3.61 .1830 1 1.00 3.72 .1831 1 1.00 3.78 .1832 1 1.00 4.10 .1833 1 1.00 3.70 .1834 1 1.00 3.85 .1835 1 1.00 3.49 .1836 1 1.00 3.91 .1837 1 1.00 3.83 .1838 2 1.00 3.85 .1839 1 1.00 3.83 .1840 1 1.00 3.80 .1841 1 1.00 3.61 .1842 1 1.00 3.67 .1843 1 1.00 3.64 .1844 1 1.00 3.60 .1845 1 1.00 3.49 .1846 1 1.00 3.79 .1847 1 1.00 3.68 .1848 1 1.00 3.66 .1849 1 1.00 3.59 .1850 1 1.00 3.70 .1851 1 1.00 3.58 .1852 1 1.00 3.56 .1853 1 1.00 3.66 .1854 1 1.00 3.72 .1855 1 1.00 3.73 .1856 1 1.00 3.69 .1857 1 1.00 3.48 .1858 1 1.00 3.59 .1859 1 1.00 3.52 .1860 1 1.00 3.57 .1861 1 1.00 3.67 .1862 1 1.00 3.68 .1863 2 1.00 3.85 .1864 1 1.00 3.81 .1865 1 1.00 4.05 .1866 1 1.00 4.07 .1867 1 1.00 3.94 .1868 2 1.00 3.86 .1869 1 1.00 4.01 .1870 2 1.00 3.63 .1871 1 1.00 3.89 .1872 2 1.00 3.75 .1873 1 1.00 4.22 .1874 1 1.00 3.87 .1875 1 1.00 3.44 .1876 1 1.00 3.69 .1877 1 1.00 3.27 .1878 1 1.00 3.39 .1879 1 1.00 3.20 .1880 1 1.00 3.44 .1881 1 1.00 3.26 .1882 1 1.00 3.42 .1883 1 1.00 3.78 .1884 1 1.00 3.54 .1885 1 1.00 3.27 .1886 1 1.00 3.38 .1887 1 1.00 3.21 .1888 1 1.00 3.38 .1889 1 1.00 3.39 .1890 1 1.00 3.47 .1891 1 1.00 3.36 .1892 1 1.00 3.40 .1893 1 1.00 3.22 .1894 1 1.00 3.43 .1895 1 1.00 3.35 .1896 1 1.00 3.44 .1897 1 1.00 3.44 .1898 1 1.00 3.30 .1899 1 1.00 3.30 .1900 1 1.00 3.28 .1901 1 1.00 3.28 .1902 2 1.00 3.26 .1903 2 1.00 3.53 .1904 1 1.00 3.37 .1905 1 1.00 3.23 .1906 1 1.00 3.36 .1907 1 1.00 3.39 .1908 3 1.00 3.53 .1909 1 1.00 3.18 .1910 1 1.00 3.24 .1911 1 1.00 3.64 .1912 1 1.00 3.82 .1913 1 1.00 3.41 .1914 1 1.00 3.22 .1915 1 1.00 3.18 .1916 1 1.00 3.08 .1917 1 1.00 3.20 .1918 1 1.00 3.28 .1919 1 1.00 3.15 .1920 1 1.00 3.29 .1921 1 1.00 3.16 .1922 1 1.00 3.31 .1923 1 1.00 3.14 .1924 1 1.00 3.14 .1925 1 1.00 3.22 .1926 1 1.00 3.04 .1927 1 1.00 3.16 .1928 1 1.00 3.07 .1929 1 1.00 2.99 .1930 1 1.00 3.03 .1931 1 1.00 3.21 .1932 1 1.00 3.09 .1933 1 1.00 3.04 .1934 1 1.00 3.05 .1935 1 1.00 3.02 .1936 1 1.00 2.99 .1937 2 1.00 3.06 .1938 1 1.00 3.41 .1939 1 1.00 3.14 .1940 1 1.00 3.02 .1941 1 1.00 2.89 .1942 1 1.00 2.90 .1943 1 1.00 3.10 .1944 1 1.00 2.84 .1945 1 1.00 2.79 .1946 1 1.00 2.75 .1947 1 1.00 3.09 .1948 1 1.00 2.80 .1949 1 1.00 2.73 .1950 1 1.00 2.86 .1951 1 1.00 3.13 .1952 1 1.00 2.72 .1953 1 1.00 2.85 .1954 1 1.00 2.86 .1955 1 1.00 3.15 .1956 1 1.00 2.88 .1957 1 1.00 2.80 .1958 1 1.00 2.83 .1959 1 1.00 2.88 .1960 2 1.00 3.14 .1961 2 1.00 2.95 .1962 1 1.00 2.77 .1963 1 1.00 2.74 .1964 1 1.00 2.75 .1965 1 1.00 2.75 .1966 1 1.00 2.84 .1967 1 1.00 2.67 .1968 1 1.00 2.80 .1969 1 1.00 2.71 .1970 1 1.00 2.69 .1971 1 1.00 2.75 .1972 1 1.00 2.96 .1973 1 1.00 2.76 .1974 1 1.00 2.81 .1975 1 1.00 2.75 .1976 1 1.00 2.81 .1977 1 1.00 2.71 .1978 1 1.00 2.84 .1979 1 1.00 2.76 .1980 1 1.00 2.85 .1981 1 1.00 2.88 .1982 1 1.00 2.94 .1983 1 1.00 2.83 .1984 1 1.00 2.86 .1985 1 1.00 2.73 .1986 1 1.00 2.64 .1987 1 1.00 2.74 .1988 1 1.00 2.68 .1989 1 1.00 2.69 .1990 1 1.00 2.84 .1991 1 1.00 2.75 .1992 1 1.00 2.87 .1993 1 1.00 2.78 .1994 1 1.00 2.62 .1995 1 1.00 2.63 .1996 1 1.00 2.76 .1997 1 1.00 2.60 .1998 1 1.00 2.63 .1999 1 1.00 2.80 .2000 2 1.00 2.76 .2001 1 1.00 2.69 .2002 1 1.00 2.58 .2003 1 1.00 2.59 .2004 1 1.00 2.60 .2005 1 1.00 2.56 .2006 1 1.00 2.71 .2007 1 1.00 2.63 .2008 1 1.00 2.54 .2009 1 1.00 2.53 .2010 1 1.00 2.56 .2011 1 1.00 2.59 .2012 1 1.00 2.68 .2013 2 1.00 2.47 .2014 1 1.00 2.49 .2015 1 1.00 2.81 .2016 1 1.00 2.34 .2017 1 1.00 2.47 .2018 1 1.00 2.36 .2019 1 1.00 2.59 .2020 1 1.00 2.40 .2021 1 1.00 2.36 .2022 2 1.00 2.94 .2023 2 1.00 3.09 .2024 3 1.00 2.41 .2025 1 1.00 2.32 .2026 1 1.00 2.33 .2027 1 1.00 2.45 .2028 1 1.00 2.34 .2029 1 1.00 2.36 .2030 1 1.00 2.76 .2031 1 1.00 2.37 .2032 1 1.00 2.44 .2033 1 1.00 2.40 .2034 1 1.00 2.27 .2035 1 1.00 2.30 .2036 1 1.00 2.29 .2037 1 1.00 2.29 .2038 1 1.00 2.34 .2039 1 1.00 2.46 .2040 1 1.00 2.52 .2041 1 1.00 2.34 .2042 1 1.00 2.29 .2043 1 1.00 2.26 .2044 1 1.00 2.30 .2045 1 1.00 2.40 .2046 1 1.00 2.43 .2047 2 1.00 2.28 EXTRACT_IMAGE: b1: masked 152 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITFLATWIDTH: b1: Median spatial widths = 0.97 0.97 0.99 0.98 pix (LL LR UL UR) SPCALIB: b1: Using Cubic, median chi squareds: vs SPCALIB: b1: Found 0 bright pixels in extracted flat sdR-b1-00034756.fit SPCALIB: b1: Extracting arc # 1 of 2 SPCALIB: b1: Reading arc sdR-b1-00034751.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.63879 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1220.92 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1202. DN is 1 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 2.91468 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1020.90 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1005. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Fraction of bad pixels in arc = 3.64780e-05 SPCALIB: b1: Arc sdR-b1-00034751.fit paired with flat sdR-b1-00034750.fit MATCH_TRACE: b1: Iteration: 0 Pixels Rejected: 3404 Finished? 0 MATCH_TRACE: b1: Iteration: 1 Pixels Rejected: 206 Finished? 0 MATCH_TRACE: b1: Iteration: 2 Pixels Rejected: 42 Finished? 0 MATCH_TRACE: b1: Iteration: 3 Pixels Rejected: 9 Finished? 0 MATCH_TRACE: b1: Iteration: 4 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: b1: Iteration: 5 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: b1: Iteration: 6 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: b1: Iteration: 7 Pixels Rejected: 0 Finished? 1 SPCALIB: b1: Shifting traces with match_trace 0.00378418 SPCALIB: b1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 1.32 .0004 1 0.92 1.21 .0005 1 0.92 1.13 .0006 1 0.92 1.16 .0007 1 0.92 1.28 .0008 1 0.92 1.71 .0009 1 0.92 2.38 .0010 1 0.92 3.83 .0011 1 0.92 4.89 .0012 1 0.92 4.63 .0013 1 0.92 4.44 .0014 1 0.92 3.91 .0015 1 0.93 3.50 .0016 1 0.93 2.95 .0017 1 0.93 2.61 .0018 1 0.93 2.20 .0019 1 0.93 2.18 .0020 1 0.93 1.99 .0021 1 0.93 1.60 .0022 1 0.93 1.45 .0023 1 0.93 1.32 .0024 1 0.93 1.21 .0025 1 0.93 1.12 .0026 1 0.93 1.00 .0027 1 0.93 1.11 .0028 1 0.93 1.13 .0029 1 0.93 1.08 .0030 1 0.93 1.04 .0031 1 0.93 1.11 .0032 1 0.93 1.04 .0033 1 0.93 1.05 .0034 1 0.93 1.03 .0035 1 0.93 1.13 .0036 1 0.93 1.08 .0037 2 0.93 1.19 .0038 1 0.93 1.13 .0039 2 0.93 1.11 .0040 2 0.93 1.08 .0041 1 0.93 1.16 .0042 1 0.93 1.13 .0043 1 0.93 1.19 .0044 1 0.93 1.26 .0045 1 0.93 1.38 .0046 1 0.93 1.96 .0047 1 0.93 3.42 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.1490 1 0.98 1.16 .1491 1 0.98 1.17 .1492 1 0.98 1.19 .1493 1 0.98 1.16 .1494 1 0.98 1.22 .1495 1 0.98 1.27 .1496 1 0.98 1.22 .1497 1 0.98 1.29 .1498 1 0.98 1.28 .1499 1 0.98 1.58 .1500 3 0.98 1.35 .1501 1 0.98 1.63 .1502 1 0.98 1.76 .1503 1 0.98 2.10 .1504 2 0.98 2.33 .1505 1 0.98 3.09 .1506 1 0.98 4.15 .1507 1 0.98 9.26 .1508 1 0.98 19.15 .1509 1 0.98 21.21 .1510 1 0.98 18.82 .1511 1 0.98 23.02 .1512 1 0.98 26.69 .1513 1 0.98 23.37 .1514 1 0.98 19.44 .1515 1 0.98 17.27 .1516 1 0.98 17.41 .1517 1 0.98 17.30 .1518 1 0.98 15.46 .1519 1 0.98 16.98 .1520 1 0.98 18.66 .1521 1 0.98 19.65 .1522 1 0.98 17.29 .1523 1 0.98 17.06 .1524 1 0.98 15.86 .1525 2 0.98 12.98 .1526 1 0.98 11.41 .1527 1 0.98 10.59 .1528 1 0.98 9.13 .1529 1 0.98 7.07 .1530 1 0.98 6.90 .1531 1 0.98 5.81 .1532 1 0.98 4.28 .1533 1 0.98 3.84 .1534 1 0.98 3.73 .1535 3 0.98 2.63 .1536 1 0.98 1.93 .1537 1 0.98 1.46 .1538 1 0.98 1.45 .1539 2 0.98 1.38 .1540 2 0.98 1.41 .1541 1 0.98 1.24 .1542 3 0.98 1.20 .1543 1 0.98 1.26 .1544 2 0.98 1.20 .1545 1 0.98 1.29 .1546 1 0.98 1.07 .1547 1 0.98 1.12 .1548 1 0.98 1.07 .1549 1 0.98 1.13 .1550 1 0.98 1.13 .1551 1 0.98 1.15 .1552 1 0.98 1.10 .1553 1 0.98 1.04 .1554 1 0.98 1.11 .1555 1 0.98 1.12 .1556 1 0.98 1.13 .1557 1 0.98 1.08 .1558 1 0.98 1.17 .1559 1 0.98 1.22 .1560 2 0.98 1.14 .1561 1 0.98 1.09 .1562 1 0.98 1.08 .1563 1 0.98 1.04 .1564 1 0.98 1.07 .1565 1 0.98 1.11 .1566 1 0.98 1.07 .1567 1 0.98 1.11 .1568 1 0.98 1.05 .1569 1 0.98 1.07 .1570 1 0.98 1.10 .1571 1 0.98 1.06 .1572 1 0.98 1.07 .1573 1 0.98 1.08 .1574 1 0.98 1.03 .1575 1 0.98 1.01 .1576 1 0.98 1.02 .1577 1 0.98 1.15 .1578 1 0.98 1.08 .1579 1 0.98 1.10 .1580 1 0.98 1.04 .1581 1 0.98 1.14 .1582 2 0.98 1.25 .1583 2 0.98 1.14 .1584 1 0.98 1.04 .1585 1 0.98 0.99 .1586 1 0.98 1.03 .1587 1 0.98 1.06 .1588 1 0.98 1.05 .1589 1 0.98 1.03 .1590 1 0.98 1.06 .1591 1 0.98 1.10 .1592 1 0.98 1.08 .1593 1 0.98 1.02 .1594 1 0.98 1.09 .1595 1 0.98 1.02 .1596 1 0.98 1.07 .1597 1 0.98 1.07 .1598 1 0.98 1.08 .1599 1 0.98 1.08 .1600 1 0.98 1.03 .1601 1 0.98 1.06 .1602 1 0.98 1.00 .1603 1 0.98 1.08 .1604 1 0.98 1.01 .1605 1 0.98 1.08 .1606 1 0.98 1.08 .1607 1 0.98 1.02 .1608 1 0.98 1.06 .1609 1 0.98 1.01 .1610 1 0.98 1.06 .1611 1 0.98 1.11 .1612 1 0.98 1.06 .1613 1 0.98 1.01 .1614 1 0.98 1.03 .1615 1 0.98 1.06 .1616 1 0.98 1.04 .1617 1 0.98 1.08 .1618 1 0.98 1.05 .1619 1 0.98 1.01 .1620 1 0.98 0.99 .1621 1 0.98 1.07 .1622 1 0.98 1.03 .1623 1 0.98 1.08 .1624 1 0.98 1.05 .1625 1 0.98 1.01 .1626 1 0.98 1.08 .1627 2 0.98 1.10 .1628 1 0.98 1.24 .1629 1 0.98 1.05 .1630 1 0.98 1.00 .1631 1 0.98 1.00 .1632 1 0.98 1.04 .1633 1 0.98 1.04 .1634 1 0.98 1.03 .1635 1 0.98 1.03 .1636 1 0.98 1.02 .1637 1 0.98 1.04 .1638 1 0.98 1.01 .1639 1 0.98 0.98 .1640 1 0.98 0.99 .1641 1 0.98 1.00 .1642 1 0.98 1.04 .1643 1 0.98 0.98 .1644 1 0.98 1.04 .1645 2 0.98 1.19 .1646 3 0.98 1.07 .1647 1 0.98 1.05 .1648 1 0.98 1.05 .1649 1 0.98 1.07 .1650 1 0.98 1.06 .1651 1 0.98 1.06 .1652 1 0.98 1.05 .1653 1 0.98 0.99 .1654 1 0.98 1.05 .1655 1 0.98 0.98 .1656 1 0.98 1.00 .1657 1 0.98 1.00 .1658 1 0.98 1.02 .1659 1 0.98 1.08 .1660 1 0.98 1.04 .1661 1 0.98 1.10 .1662 1 0.98 1.01 .1663 1 0.98 1.04 .1664 1 0.98 1.09 .1665 1 0.98 1.02 .1666 1 0.98 1.02 .1667 1 0.98 1.06 .1668 2 0.98 0.99 .1669 3 0.98 1.10 .1670 2 0.98 1.04 .1671 1 0.98 1.02 .1672 1 0.98 1.08 .1673 1 0.98 1.07 .1674 1 0.98 1.02 .1675 1 0.98 1.02 .1676 1 0.98 1.08 .1677 1 0.98 1.05 .1678 1 0.98 1.03 .1679 1 0.98 1.08 .1680 1 0.98 1.06 .1681 1 0.98 1.07 .1682 1 0.98 1.01 .1683 1 0.98 1.08 .1684 1 0.98 0.96 .1685 1 0.98 0.99 .1686 1 0.98 0.99 .1687 1 0.98 1.00 .1688 1 0.98 0.95 .1689 1 0.98 0.99 .1690 1 0.98 1.02 .1691 1 0.98 0.99 .1692 1 0.98 1.02 .1693 1 0.98 1.06 .1694 1 0.98 1.26 .1695 2 0.98 1.10 .1696 1 0.98 1.03 .1697 1 0.98 1.02 .1698 1 0.98 1.04 .1699 1 0.98 1.05 .1700 1 0.98 1.00 .1701 1 0.98 1.04 .1702 1 0.98 1.00 .1703 2 0.98 1.09 .1704 1 0.98 1.07 .1705 2 0.98 1.03 .1706 1 0.98 1.07 .1707 1 0.98 1.09 .1708 1 0.98 1.00 .1709 1 0.98 0.98 .1710 1 0.98 1.00 .1711 1 0.98 0.99 .1712 1 0.98 1.04 .1713 2 0.98 1.25 .1714 2 0.98 1.14 .1715 1 0.98 0.99 .1716 1 0.98 1.06 .1717 1 0.98 0.98 .1718 1 0.98 1.08 .1719 3 0.99 1.10 .1720 1 0.99 1.01 .1721 1 0.99 1.01 .1722 1 0.99 1.12 .1723 1 0.99 0.97 .1724 1 0.99 1.07 .1725 1 0.99 1.03 .1726 1 0.99 1.05 .1727 1 0.99 0.96 .1728 1 0.99 1.01 .1729 1 0.99 1.03 .1730 1 0.99 1.00 .1731 1 0.99 1.04 .1732 1 0.99 1.05 .1733 1 0.99 1.01 .1734 1 0.99 1.02 .1735 1 0.99 1.01 .1736 1 0.99 0.97 .1737 1 0.99 1.03 .1738 1 0.99 1.05 .1739 1 0.99 1.18 .1740 1 0.99 1.03 .1741 1 0.99 0.92 .1742 1 0.99 0.99 .1743 1 0.99 0.98 .1744 1 0.99 1.00 .1745 1 0.99 1.01 .1746 1 0.99 1.05 .1747 1 0.99 1.04 .1748 2 0.99 1.04 .1749 1 0.99 0.98 .1750 1 0.99 1.03 .1751 1 0.99 1.06 .1752 3 0.99 1.01 .1753 1 0.99 1.14 .1754 1 0.99 1.08 .1755 1 0.99 1.04 .1756 1 0.99 1.13 .1757 1 0.99 1.05 .1758 1 0.99 1.11 .1759 1 0.99 1.04 .1760 1 0.99 0.97 .1761 1 0.99 1.04 .1762 1 0.99 1.10 .1763 1 0.99 1.08 .1764 1 0.99 1.04 .1765 1 0.99 1.12 .1766 1 0.99 1.16 .1767 1 0.99 1.10 .1768 1 0.99 1.12 .1769 1 0.99 1.14 .1770 1 0.99 1.15 .1771 1 0.99 1.35 .1772 1 0.99 1.59 .1773 1 0.99 1.58 .1774 1 0.99 1.60 .1775 1 0.99 1.83 .1776 1 0.99 1.65 .1777 1 0.99 1.53 .1778 1 0.99 1.53 .1779 1 0.99 1.48 .1780 1 0.99 1.47 .1781 1 0.99 1.48 .1782 1 0.99 1.47 .1783 3 0.99 1.44 .1784 1 0.99 1.52 .1785 2 0.99 1.53 .1786 3 0.99 1.41 .1787 1 0.99 1.38 .1788 1 0.99 1.38 .1789 1 0.99 1.33 .1790 1 0.99 1.41 .1791 1 0.99 1.18 .1792 1 0.99 1.32 .1793 1 0.99 1.28 .1794 2 0.99 1.52 .1795 3 0.99 1.28 .1796 2 0.99 1.44 .1797 1 0.99 1.37 .1798 1 0.99 1.45 .1799 1 0.99 1.73 .1800 1 0.99 2.69 .1801 1 0.99 6.41 .1802 1 0.99 10.80 .1803 1 0.99 10.70 .1804 1 0.99 12.99 .1805 1 0.99 16.06 .1806 1 0.99 14.18 .1807 1 0.99 11.92 .1808 1 0.99 10.94 .1809 1 0.99 9.53 .1810 1 0.99 8.81 .1811 1 0.99 8.65 .1812 1 0.99 7.42 .1813 1 0.99 7.30 .1814 1 0.99 7.94 .1815 2 0.99 8.21 .1816 1 0.99 7.55 .1817 1 0.99 7.70 .1818 2 0.99 8.41 .1819 2 0.99 7.78 .1820 1 0.99 6.96 .1821 1 0.99 5.96 .1822 1 0.99 5.18 .1823 1 0.99 4.45 .1824 1 0.99 3.93 .1825 1 0.99 3.66 .1826 2 0.99 3.70 .1827 3 0.99 3.22 .1828 1 0.99 2.74 .1829 1 0.99 2.36 .1830 1 0.99 2.32 .1831 1 0.99 2.15 .1832 1 0.99 1.51 .1833 1 0.99 1.23 .1834 1 0.99 1.11 .1835 1 0.99 1.11 .1836 1 0.99 1.12 .1837 1 0.99 1.13 .1838 1 0.99 1.10 .1839 1 0.99 1.08 .1840 1 0.99 1.09 .1841 1 0.99 1.06 .1842 1 0.99 1.09 .1843 1 0.99 1.01 .1844 1 0.99 1.12 .1845 1 0.99 1.08 .1846 1 0.99 1.07 .1847 1 0.99 1.08 .1848 1 0.99 1.01 .1849 1 0.99 1.06 .1850 1 0.99 1.04 .1851 1 0.99 1.06 .1852 1 0.99 1.04 .1853 1 0.99 1.04 .1854 1 0.99 1.02 .1855 1 1.00 1.08 .1856 1 1.00 1.03 .1857 1 1.00 1.06 .1858 1 1.00 1.05 .1859 1 1.00 1.07 .1860 1 1.00 1.02 .1861 1 1.00 1.05 .1862 1 1.00 1.05 .1863 1 1.00 0.97 .1864 1 1.00 1.03 .1865 1 1.00 1.06 .1866 2 1.00 1.05 .1867 2 1.00 1.08 .1868 1 1.00 1.08 .1869 1 1.00 1.05 .1870 1 1.00 1.07 .1871 1 1.00 1.10 .1872 2 1.00 1.11 .1873 2 1.00 1.09 .1874 2 1.00 1.06 .1875 1 1.00 0.99 .1876 1 1.00 1.00 .1877 1 1.00 1.08 .1878 1 1.00 1.09 .1879 1 1.00 1.03 .1880 1 1.00 1.08 .1881 1 1.00 1.08 .1882 1 1.00 1.00 .1883 1 1.00 1.04 .1884 1 1.00 0.97 .1885 1 1.00 1.00 .1886 1 1.00 1.05 .1887 1 1.00 1.01 .1888 1 1.00 1.10 .1889 1 1.00 1.03 .1890 1 1.00 1.09 .1891 1 1.00 1.02 .1892 1 1.00 1.04 .1893 1 1.00 1.08 .1894 1 1.00 0.98 .1895 1 1.00 1.02 .1896 1 1.00 1.04 .1897 2 1.00 1.16 .1898 2 1.00 1.18 .1899 1 1.00 1.16 .1900 2 1.00 1.02 .1901 2 1.00 0.99 .1902 1 1.00 0.94 .1903 3 1.00 1.03 .1904 2 1.00 1.04 .1905 1 1.00 1.02 .1906 1 1.00 1.05 .1907 2 1.00 1.09 .1908 2 1.00 1.06 .1909 1 1.00 1.07 .1910 1 1.00 1.06 .1911 2 1.00 1.01 .1912 2 1.00 1.05 .1913 2 1.00 1.09 .1914 1 1.00 1.01 .1915 2 1.00 1.10 .1916 1 1.00 1.06 .1917 1 1.00 0.97 .1918 1 1.00 1.05 .1919 1 1.00 1.05 .1920 1 1.00 1.03 .1921 1 1.00 1.00 .1922 1 1.00 0.96 .1923 1 1.00 0.96 .1924 1 1.00 0.99 .1925 1 1.00 1.12 .1926 2 1.00 1.00 .1927 2 1.00 0.99 .1928 1 1.00 1.15 .1929 1 1.00 1.05 .1930 1 1.00 1.01 .1931 1 1.00 1.05 .1932 1 1.00 0.97 .1933 1 1.00 1.05 .1934 1 1.00 0.94 .1935 1 1.00 1.02 .1936 1 1.00 0.95 .1937 1 1.00 1.00 .1938 1 1.00 1.08 .1939 1 1.00 0.96 .1940 1 1.00 1.00 .1941 1 1.00 0.99 .1942 1 1.00 1.01 .1943 1 1.00 1.06 .1944 1 1.00 1.07 .1945 1 1.00 1.07 .1946 1 1.00 1.01 .1947 1 1.00 1.00 .1948 1 1.00 1.01 .1949 1 1.00 1.00 .1950 1 1.00 1.01 .1951 1 1.00 0.97 .1952 3 1.00 1.00 .1953 2 1.00 1.03 .1954 1 1.00 1.04 .1955 1 1.00 0.95 .1956 1 1.00 1.00 .1957 1 1.00 1.05 .1958 1 1.00 1.07 .1959 2 1.00 0.99 .1960 1 1.00 1.02 .1961 1 1.00 1.00 .1962 1 1.00 1.00 .1963 1 1.00 0.98 .1964 1 1.00 0.99 .1965 1 1.00 0.98 .1966 1 1.00 1.02 .1967 1 1.00 1.01 .1968 1 1.00 1.13 .1969 2 1.00 1.06 .1970 3 1.00 0.95 .1971 2 1.00 1.06 .1972 2 1.00 1.03 .1973 2 1.00 0.99 .1974 2 1.00 1.00 .1975 2 1.00 1.04 .1976 2 1.00 1.05 .1977 2 1.00 1.12 .1978 2 1.00 1.21 .1979 3 1.00 0.95 .1980 3 1.00 1.18 .1981 3 1.00 1.15 .1982 1 1.01 0.99 .1983 1 1.01 1.03 .1984 2 1.01 1.03 .1985 2 1.01 1.08 .1986 1 1.01 0.97 .1987 1 1.01 0.99 .1988 1 1.01 1.03 .1989 5 1.01 0.97 .1990 4 1.01 1.23 .1991 1 1.01 1.05 .1992 4 1.01 1.01 .1993 1 1.01 1.01 .1994 1 1.01 0.96 .1995 1 1.01 1.02 .1996 2 1.01 1.16 .1997 2 1.01 1.19 .1998 1 1.01 0.95 .1999 1 1.01 1.00 .2000 1 1.01 1.00 .2001 1 1.01 1.02 .2002 1 1.01 1.08 .2003 2 1.01 0.98 .2004 1 1.01 1.16 .2005 3 1.01 1.03 .2006 1 1.01 1.16 .2007 2 1.01 0.96 .2008 1 1.01 0.98 .2009 1 1.01 1.00 .2010 1 1.01 0.98 .2011 1 1.01 0.99 .2012 1 1.01 1.08 .2013 1 1.01 1.02 .2014 1 1.01 0.99 .2015 1 1.01 0.97 .2016 1 1.01 0.99 .2017 1 1.01 1.01 .2018 1 1.01 0.97 .2019 1 1.01 0.94 .2020 1 1.01 1.01 .2021 1 1.01 0.97 .2022 2 1.01 1.00 .2023 2 1.01 0.99 .2024 1 1.01 0.99 .2025 2 1.01 0.99 .2026 1 1.01 1.05 .2027 1 1.01 0.95 .2028 1 1.01 0.97 .2029 1 1.01 0.99 .2030 1 1.01 1.01 .2031 1 1.01 0.96 .2032 1 1.01 0.99 .2033 1 1.01 1.01 .2034 1 1.01 0.94 .2035 1 1.01 0.99 .2036 1 1.01 1.00 .2037 1 1.01 0.96 .2038 1 1.01 0.98 .2039 1 1.01 0.98 .2040 1 1.01 1.00 .2041 2 1.01 1.01 .2042 2 1.01 0.98 .2043 2 1.01 0.98 .2044 1 1.01 1.05 .2045 1 1.01 1.02 .2046 1 1.01 1.07 .2047 2 1.01 0.89 EXTRACT_IMAGE: b1: masked 416 pixels SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b1: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b1: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Searching about coefficients = 3.68870 -0.10512 -0.00419 0.00016 ARCFIT_ITER: b1: Searching lags from -146 to 146 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Initial wavelength fit = 3.68881 -0.10537 -0.00431 0.00018 ARCFIT_GUESS: b1: Initial correlation = 0.768584 FITARCIMAGE_GLOBAL: b1: Best correlation = 0.768584 FITARCIMAGE_GLOBAL: b1: ASET = 3.68881 -0.10537 -0.00431 0.00018 SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Iterating flux-weighted centers TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 0 0 11.853236 0.22945655 . 0 320 0.049 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 1 0 9.9185031 4.1844864 0.30505936 0.35385119 9.1974736 1 . 1 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 2 0 8.4484451 0.26809187 . 2 320 0.046 . 3 320 0.048 . 4 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 5 0 -0.64315940 0.20555344 . 5 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 6 0 12.520819 0.20293647 . 6 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 7 0 1.6910721 0.21115533 . 7 320 0.052 . 8 320 0.055 . 9 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 10 0 7.8782051 0.22565005 . 10 320 0.054 . 11 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 12 0 9.3413937 0.28265217 . 12 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 13 0 -0.98697791 0.25177208 . 13 320 0.051 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 14 0 10.379362 4.4199733 0.37544009 0.45962058 9.2214419 1 . 14 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 15 0 10.117802 0.23494217 . 15 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 16 0 5.0569644 0.22370200 . 16 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 17 0 6.8265405 0.23834570 . 17 320 0.051 . 18 320 0.049 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 19 0 13.406957 3.8836332 0.35329010 -0.0000000 8.6980732 1 . 19 320 0.054 . 20 320 0.053 . 21 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 22 0 3.6934900 0.25122471 . 22 320 0.051 . 23 320 0.051 . 24 320 0.045 . 25 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 26 0 3.3248575 0.26463339 . 26 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 27 0 11.110598 0.21136863 . 27 320 0.045 . 28 320 0.043 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 29 0 -1.5788761 0.24879763 . 29 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 30 0 14.960992 0.27083892 . 30 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 31 0 7.0123953 0.20082589 . 31 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 32 0 7.8507011 0.21188860 . 32 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 33 0 3.9512296 0.20410731 . 33 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 34 0 9.4441728 0.21742610 . 34 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 35 0 9.3152930 0.23808016 . 35 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 36 0 -1.6624113 0.20763110 . 36 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 37 0 4.5834024 0.24604269 . 37 320 0.049 . 38 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 39 0 4.4623460 0.24970233 . 39 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 40 0 12.378084 0.25778380 . 40 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 41 0 16.877342 0.27161631 . 41 320 0.049 . 42 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 43 0 9.5789918 0.21073427 . 43 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 44 0 4.3475599 0.25703904 . 44 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 45 0 6.2451743 0.23182711 . 45 320 0.054 . 46 320 0.042 . 47 320 0.046 . 48 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 49 0 5.9923591 0.29951784 . 49 320 0.056 . 50 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 51 0 11.941760 0.21041290 . 51 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 52 0 8.0769164 0.22534828 . 52 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 53 0 3.2023994 0.26911078 . 53 320 0.047 . 54 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 55 0 12.293925 0.21619961 . 55 320 0.050 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 56 0 6.5807114 4.0696315 0.35594702 0.42277211 9.4251396 1 . 56 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 57 0 6.7519537 0.22619755 . 57 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 58 0 10.247769 0.22256530 . 58 320 0.059 . 59 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 60 0 3.2721896 0.27000593 . 60 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 61 0 13.572877 0.27309681 . 61 320 0.057 . 62 320 0.051 . 63 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 64 0 5.5622812 0.20286040 . 64 320 0.057 . 65 320 0.049 . 66 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 67 0 11.163611 0.25548741 . 67 320 0.048 . 68 320 0.057 . 69 320 0.045 . 70 320 0.046 . 71 320 0.047 . 72 320 0.046 . 73 320 0.051 . 74 320 0.053 . 75 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 76 0 8.3458240 0.26289995 . 76 320 0.053 . 77 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 78 0 11.334426 0.21027665 . 78 320 0.050 . 79 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 80 0 9.9611083 0.24375834 . 80 320 0.057 . 81 320 0.043 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 82 0 15.371214 0.27902723 . 82 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 83 0 9.0119548 0.22152361 . 83 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 84 0 11.474608 0.20684001 . 84 320 0.050 . 85 320 0.049 . 86 320 0.052 . 87 320 0.047 . 88 320 0.052 . 89 320 0.048 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -3.2103277 2.4692665 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 90 1 -20.567730 0.22353163 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -12.949506 2.9495857 0.35744880 -0.0000000 9.4692667 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 4 0.16091204 2.4855547 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 5 -13.246428 3.4286759 0.41858316 0.48165439 7.8583330 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 6 -6.0855693 3.3423389 0.97878767 -0.0000000 6.9005375 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 7 -11.342791 2.8628124 0.32347510 -0.0000000 9.3656338 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -40.757005 2.8552610 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 10 -37.529018 2.8384989 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -28.569767 2.6382308 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 12 -20.784520 2.9524644 0.63812514 0.0000000 12.148124 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 13 -26.098477 2.5814230 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 14 -17.587656 2.8075268 0.52631032 -0.0000000 8.3732026 1 . 90 320 0.091 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 91 0 -1.6370706 4.2698554 0.48605333 0.60542731 8.0611440 1 . 91 320 0.061 . 92 320 0.050 . 93 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 94 0 -1.4699042 0.21401113 . 94 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 95 0 7.9474233 0.25293246 . 95 320 0.045 . 96 320 0.048 . 97 320 0.048 . 98 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 99 0 8.9281592 0.21785510 . 99 320 0.057 . 100 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 101 0 8.4760658 0.26441667 . 101 320 0.054 . 102 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 103 0 15.216941 0.24985413 . 103 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 104 0 9.4011701 0.22500014 . 104 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 105 0 0.67944437 0.21737607 . 105 320 0.048 . 106 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 107 0 3.2973534 0.23124567 . 107 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 108 0 6.6808992 0.20161242 . 108 320 0.056 . 109 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 110 0 11.543299 0.21522277 . 110 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 111 0 13.453048 0.24728821 . 111 320 0.057 . 112 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 113 0 11.001260 0.29954812 . 113 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 114 0 6.6299498 0.20315251 . 114 320 0.056 . 115 320 0.052 . 116 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 117 0 6.0853086 0.23659405 . 117 320 0.051 . 118 320 0.053 . 119 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 120 0 10.591252 0.23306057 . 120 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 121 0 13.345576 0.25466504 . 121 320 0.056 . 122 320 0.051 . 123 320 0.056 . 124 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 125 0 4.8686849 0.22010460 . 125 320 0.267 . 126 320 0.049 . 127 320 0.063 . 128 320 0.054 . 129 320 0.049 . 130 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 131 0 7.4109970 0.20275207 . 131 320 0.055 . 132 320 0.055 . 133 320 0.050 . 134 320 0.046 . 135 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 136 0 3.2901111 0.24121269 . 136 320 0.054 . 137 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 138 0 4.4382254 0.22603168 . 138 320 0.068 . 139 320 0.056 . 140 320 0.057 . 141 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 142 0 2.0619366 0.20186661 . 142 320 0.052 . 143 320 0.054 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 144 0 3.2890280 4.3608824 0.83902243 -0.0000000 10.395045 1 . 144 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 145 0 5.2527004 0.21627378 . 145 320 0.053 . 146 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 147 0 4.8844848 0.20073246 . 147 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 148 0 7.9420981 0.22514636 . 148 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 149 0 9.2395310 0.21514928 . 149 320 0.049 . 150 320 0.053 . 151 320 0.054 . 152 320 0.048 . 153 320 0.062 . 154 320 0.048 . 155 320 0.048 . 156 320 0.053 . 157 320 0.056 . 158 320 0.056 . 159 320 0.049 . 160 320 0.056 . 161 320 0.053 . 162 320 0.053 . 163 320 0.052 . 164 320 0.059 . 165 320 0.050 . 166 320 0.052 . 167 320 0.047 . 168 320 0.055 . 169 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 170 0 2.8231588 0.20712000 . 170 320 0.044 . 171 320 0.049 . 172 320 0.047 . 173 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 174 0 3.8098424 0.20576378 . 174 320 0.044 . 175 320 0.045 . 176 320 0.054 . 177 320 0.052 . 178 320 0.054 . 179 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 180 0 10.997808 0.23988879 . 180 320 0.055 . 181 320 0.051 . 182 320 0.064 . 183 320 0.060 . 184 320 0.052 . 185 320 0.053 . 186 320 0.055 . 187 320 0.053 . 188 320 0.048 . 189 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 190 0 12.923553 0.20460160 . 190 320 0.060 . 191 320 0.054 . 192 320 0.054 . 193 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 194 0 5.1594781 0.23012187 . 194 320 0.052 . 195 320 0.061 . 196 320 0.054 . 197 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 198 0 7.2677611 0.20888553 . 198 320 0.061 . 199 320 0.056 . 200 320 0.053 . 201 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 202 0 8.6417426 0.26941974 . 202 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 203 0 5.1562700 0.21070402 . 203 320 0.059 . 204 320 0.060 . 205 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 206 0 6.4026209 0.25429552 . 206 320 0.062 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 207 0 3.8112413 0.21199187 . 207 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 208 0 6.4006057 0.22469580 . 208 320 0.065 . 209 320 0.051 . 210 320 0.055 . 211 320 0.056 . 212 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 213 0 2.3119863 0.27283446 . 213 320 0.052 . 214 320 0.049 . 215 320 0.050 . 216 320 0.052 . 217 320 0.052 . 218 320 0.050 . 219 320 0.051 . 220 320 0.051 . 221 320 0.052 . 222 320 0.050 . 223 320 0.051 . 224 320 0.051 . 225 320 0.047 . 226 320 0.048 . 227 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 228 0 5.6402877 0.20439536 . 228 320 0.059 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 229 0 14.171917 0.20370197 . 229 320 0.054 . 230 320 0.056 . 231 320 0.046 . 232 320 0.047 . 233 320 0.051 . 234 320 0.051 . 235 320 0.048 . 236 320 0.049 . 237 320 0.049 . 238 320 0.057 . 239 320 0.052 . 240 320 0.058 . 241 320 0.047 . 242 320 0.048 . 243 320 0.045 . 244 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 245 0 5.9123182 0.24806035 . 245 320 0.058 . 246 320 0.053 . 247 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 248 0 6.8582160 0.23569610 . 248 320 0.051 . 249 320 0.054 . 250 320 0.049 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -0.15430952 2.0377353 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -9.2996741 3.5454494 0.47691920 -0.0000000 7.3039366 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -6.5467631 2.4409051 0.48362975 -0.0000000 7.6771505 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 3 3.0414408 0.26049235 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 4 -7.1719628 0.26938604 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 5 -6.7033515 2.3351974 0.51888965 -0.0000000 6.7698762 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 6 -1.8176710 2.3171083 1.1019690 -0.0000000 7.2732717 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 7 -11.829851 3.3926550 0.44623526 0.54584859 6.7134980 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 8 -30.681061 4.0992213 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 9 -49.212452 3.1876510 0.31116831 -0.0000000 7.4458312 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 10 -38.399692 2.5681176 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 11 -32.692875 0.27862503 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 12 -7.1412158 2.5735891 1.2662113 -0.0000000 7.2705198 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 13 -26.983624 2.9822325 0.47254542 -0.0000000 6.1897099 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 14 -13.420873 2.6811098 1.0214078 -0.0000000 5.4520091 1 . 251 320 0.102 . 252 320 0.049 . 253 320 0.051 . 254 320 0.051 . 255 320 0.051 . 256 320 0.049 . 257 320 0.049 . 258 320 0.051 . 259 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 260 0 3.7439495 0.28464467 . 260 320 0.063 . 261 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 262 0 8.5953622 0.24353890 . 262 320 0.054 . 263 320 0.048 . 264 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 265 0 11.782420 0.22989279 . 265 320 0.050 . 266 320 0.047 . 267 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 268 0 7.7149242 0.21235471 . 268 320 0.048 . 269 320 0.053 . 270 320 0.054 . 271 320 0.052 . 272 320 0.055 . 273 320 0.045 . 274 320 0.060 . 275 320 0.048 . 276 320 0.051 . 277 320 0.050 . 278 320 0.052 . 279 320 0.039 . 280 320 0.054 . 281 320 0.051 . 282 320 0.048 . 283 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 284 0 4.4009991 0.23819464 . 284 320 0.052 . 285 320 0.052 . 286 320 0.053 . 287 320 0.057 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 288 0 9.3412709 3.2296307 0.30960596 -0.0000000 7.5178836 1 . 288 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 289 0 11.316733 0.28714119 . 289 320 0.051 . 290 320 0.055 . 291 320 0.060 . 292 320 0.049 . 293 320 0.057 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 0 -1.4429619 2.3916188 0.66455645 -0.0000000 7.2272505 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -12.283424 2.6106959 0.78318098 0.84669404 8.4733214 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 3 40.227896 4.6296632 0.36775334 -0.0000000 9.7002101 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 4 -2.2668905 2.2733176 0.53330928 -0.0000000 7.5140185 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 5 2.1313524 2.3648704 0.75408130 -0.0000000 7.5016228 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 6 -2.9562087 2.2986719 0.58839301 -0.0000000 6.5850913 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 7 -6.9869311 2.6198928 0.84280377 -0.0000000 5.6061718 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 8 40.891929 0.24563123 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 9 -32.082181 0.23747193 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 10 -36.838442 3.5194337 0.36725961 -0.0000000 7.2564222 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 11 -11.607576 2.8313681 0.67750271 -0.0000000 6.0536869 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 12 -12.036511 3.5663998 0.72242446 0.88544014 6.1565601 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 13 -23.163561 3.0743063 0.30962604 -0.0000000 6.2747314 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 14 -7.5396968 2.9785032 0.66511302 0.76721206 7.3358858 1 . 294 320 0.129 . 295 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 296 0 3.6605110 0.20351039 . 296 320 0.050 . 297 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 298 0 3.9981509 0.22321486 . 298 320 0.053 . 299 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 300 0 6.5778863 0.21600419 . 300 320 0.050 . 301 320 0.046 . 302 320 0.053 . 303 320 0.052 . 304 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 305 0 7.2525623 0.27790221 . 305 320 0.048 . 306 320 0.046 . 307 320 0.048 . 308 320 0.045 . 309 320 0.048 . 310 320 0.055 . 311 320 0.050 . 312 320 0.045 . 313 320 0.047 . 314 320 0.046 . 315 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 316 0 11.215400 0.23864178 . 316 320 0.050 . 317 320 0.045 . 318 320 0.046 . 319 320 0.047 FITARCIMAGE_GLOBAL: b1: Line 0, at 3983.8390 Ang: ERR= 0.162403 ERR_RMS= 0.0472675 pix, 10 masked. FITARCIMAGE_GLOBAL: b1: Line 1, at 4046.5720 Ang: ERR= 0.00487679 ERR_RMS= 0.0124907 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 2, at 4077.8380 Ang: ERR= 0.0166904 ERR_RMS= 0.00186153 pix, 4 masked. FITARCIMAGE_GLOBAL: b1: Line 3, at 4358.3370 Ang: ERR= 0.00329457 ERR_RMS= 0.0165909 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 4, at 4678.1490 Ang: ERR= 0.0271684 ERR_RMS= 0.0142870 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 5, at 4799.9120 Ang: ERR= 0.0141692 ERR_RMS= 0.00168233 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 6, at 4916.0700 Ang: ERR= 0.0541965 ERR_RMS= 0.00843648 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 7, at 5085.8220 Ang: ERR= 0.0106810 ERR_RMS= 0.00120114 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 8, at 5460.7530 Ang: ERR= 0.00252711 ERR_RMS= 0.0151552 pix, 1 masked. FITARCIMAGE_GLOBAL: b1: Line 9, at 5769.5980 Ang: ERR= 0.00520939 ERR_RMS= 0.0130523 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 10, at 5790.6630 Ang: ERR= 0.00526422 ERR_RMS= 0.000430076 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 11, at 5852.4880 Ang: ERR= 0.00751400 ERR_RMS= 0.0152427 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 12, at 5881.8950 Ang: ERR= 0.00972534 ERR_RMS= 0.000968294 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 13, at 5944.8340 Ang: ERR= 0.00779100 ERR_RMS= 0.000709529 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 14, at 6029.9970 Ang: ERR= 0.0152500 ERR_RMS= 0.00165830 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b1: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 1 2 15 0 3 15 0 4 15 1 5 15 1 6 15 1 7 15 0 8 15 0 9 15 1 10 15 0 11 15 1 12 15 0 13 15 0 14 15 1 15 15 0 16 15 0 17 15 0 18 15 0 19 15 2 20 15 1 21 15 1 22 15 1 23 15 1 24 15 1 25 15 0 26 15 0 27 15 0 28 15 1 29 15 1 30 15 0 31 15 1 32 15 1 33 15 0 34 15 0 35 15 1 36 15 0 37 15 0 38 15 1 39 15 1 40 15 1 41 15 1 42 15 1 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 1 49 15 1 50 15 1 51 15 1 52 15 1 53 15 1 54 15 0 55 15 0 56 15 1 57 15 0 58 15 0 59 15 1 60 15 0 61 15 0 62 15 0 63 15 1 64 15 1 65 15 0 66 15 0 67 15 1 68 15 0 69 15 1 70 15 1 71 15 0 72 15 0 73 15 1 74 15 0 75 15 0 76 15 1 77 15 1 78 15 0 79 15 0 80 15 1 81 15 1 82 15 0 83 15 0 84 15 0 85 15 1 86 15 0 87 15 0 88 15 0 89 15 1 90 15 12 91 15 1 92 15 0 93 15 0 94 15 1 95 15 0 96 15 0 97 15 1 98 15 1 99 15 1 100 15 0 101 15 1 102 15 1 103 15 0 104 15 0 105 15 1 106 15 1 107 15 1 108 15 1 109 15 0 110 15 0 111 15 1 112 15 1 113 15 1 114 15 1 115 15 0 116 15 0 117 15 1 118 15 0 119 15 1 120 15 0 121 15 0 122 15 1 123 15 1 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 1 134 15 1 135 15 1 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 1 142 15 1 143 15 0 144 15 1 145 15 0 146 15 0 147 15 0 148 15 1 149 15 0 150 15 0 151 15 0 152 15 1 153 15 1 154 15 0 155 15 1 156 15 1 157 15 0 158 15 0 159 15 0 160 15 1 161 15 0 162 15 1 163 15 0 164 15 1 165 15 0 166 15 0 167 15 0 168 15 0 169 15 1 170 15 1 171 15 1 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 1 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 1 188 15 0 189 15 1 190 15 0 191 15 1 192 15 0 193 15 1 194 15 0 195 15 1 196 15 0 197 15 0 198 15 1 199 15 1 200 15 1 201 15 0 202 15 1 203 15 0 204 15 1 205 15 1 206 15 0 207 15 1 208 15 0 209 15 1 210 15 0 211 15 1 212 15 1 213 15 2 214 15 1 215 15 0 216 15 0 217 15 0 218 15 0 219 15 1 220 15 1 221 15 0 222 15 0 223 15 1 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 1 230 15 0 231 15 1 232 15 1 233 15 1 234 15 0 235 15 0 236 15 1 237 15 0 238 15 0 239 15 0 240 15 0 241 15 1 242 15 1 243 15 0 244 15 0 245 15 0 246 15 1 247 15 0 248 15 0 249 15 1 250 15 0 251 15 12 252 15 1 253 15 1 254 15 1 255 15 0 256 15 0 257 15 0 258 15 0 259 15 1 260 15 1 261 15 0 262 15 0 263 15 1 264 15 0 265 15 1 266 15 0 267 15 1 268 15 0 269 15 1 270 15 1 271 15 0 272 15 1 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 1 279 15 3 280 15 0 281 15 1 282 15 0 283 15 1 284 15 1 285 15 0 286 15 0 287 15 0 288 15 1 289 15 1 290 15 1 291 15 0 292 15 1 293 15 0 294 15 12 295 15 0 296 15 0 297 15 2 298 15 1 299 15 1 300 15 0 301 15 0 302 15 0 303 15 1 304 15 1 305 15 1 306 15 0 307 15 0 308 15 1 309 15 0 310 15 0 311 15 0 312 15 0 313 15 1 314 15 0 315 15 0 316 15 1 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 179 Pass 1 complete FITARCIMAGE_GLOBAL: b1: Number of arclines after bundle test = 15 FITARCLINES: b1: ncoeffs (x,y): 4 5 FITARCLINES: b1: fit rchi2: 0.11675602 FITARCLINES: b1: offset stddev: 320 2.1988468e-13 FITARCLINES: b1: scale stddev: 320 3.9650742e-13 FITARCLINES: b1: poly x,y,stddev: 0 0 7.0483745e-07 FITARCLINES: b1: poly x,y,stddev: 1 0 2.0528090e-06 FITARCLINES: b1: poly x,y,stddev: 2 0 1.5934580e-06 FITARCLINES: b1: poly x,y,stddev: 3 0 3.2013774e-06 FITARCLINES: b1: poly x,y,stddev: 0 1 4.8028886e-07 FITARCLINES: b1: poly x,y,stddev: 1 1 1.3989786e-06 FITARCLINES: b1: poly x,y,stddev: 2 1 1.0868541e-06 FITARCLINES: b1: poly x,y,stddev: 3 1 2.1832367e-06 FITARCLINES: b1: poly x,y,stddev: 0 2 4.7367069e-07 FITARCLINES: b1: poly x,y,stddev: 1 2 1.3975865e-06 FITARCLINES: b1: poly x,y,stddev: 2 2 1.0983267e-06 FITARCLINES: b1: poly x,y,stddev: 3 2 2.2044654e-06 FITARCLINES: b1: correcting per-fiber coefficients for fibers: 90 239 251 294 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: BADARC lines masked: 90 239 251 294 FITARCIMAGE_GLOBAL: b1: IVAR=0 centroids masked: 46 Final arcfit complete FITARCIMAGE_GLOBAL: b1: Time 31. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 4 1.00 2.50 .0001 7 1.00 2.34 .0002 3 1.00 2.42 .0003 5 1.00 2.63 .0004 4 1.00 2.13 .0005 5 1.00 2.30 .0006 5 1.00 2.37 .0007 4 1.00 2.29 .0008 4 1.00 1.89 .0009 5 1.00 1.90 .0010 5 1.00 2.15 .0011 6 1.00 2.45 .0012 5 1.00 2.64 .0013 7 1.00 1.98 .0014 4 1.00 2.27 .0015 4 1.00 2.06 .0016 5 1.00 2.26 .0017 7 1.00 1.98 .0018 4 1.00 1.70 .0019 5 1.00 2.66 .0020 6 1.00 2.26 .0021 6 1.00 1.86 .0022 6 1.00 1.87 .0023 7 1.00 1.96 .0024 4 1.00 2.17 .0025 4 1.00 2.11 .0026 6 1.00 1.30 .0027 6 1.00 1.62 .0028 7 1.00 1.41 .0029 5 1.00 1.84 .0030 7 1.00 1.54 .0031 9 1.00 1.67 .0032 5 1.00 1.81 .0033 7 1.00 1.08 .0034 9 1.00 0.94 .0035 9 1.00 0.87 .0036 7 1.00 1.08 .0037 4 1.00 1.54 .0038 5 1.00 1.33 .0039 7 1.00 1.17 .0040 7 1.00 1.33 .0041 5 1.00 1.66 .0042 6 1.00 2.04 .0043 6 1.00 1.99 .0044 5 1.00 1.88 .0045 6 1.00 1.83 .0046 4 1.00 1.46 .0047 5 1.00 2.02 .0048 9 1.00 1.31 .0049 6 1.00 1.61 .0050 6 1.00 1.49 .0051 7 1.00 1.26 .0052 6 1.00 1.60 .0053 5 1.00 1.74 .0054 7 1.00 1.53 .0055 7 1.00 1.72 .0056 5 1.00 1.59 .0057 6 1.00 2.00 .0058 5 1.00 2.30 .0059 8 1.00 1.46 .0060 7 1.00 1.32 .0061 6 1.00 1.45 .0062 5 1.00 1.47 .0063 5 1.00 1.45 .0064 4 1.00 1.64 .0065 4 1.00 1.48 .0066 6 1.00 1.49 .0067 6 1.00 1.66 .0068 6 1.00 1.60 .0069 8 1.00 1.09 .0070 5 1.00 1.58 .0071 5 1.00 1.55 .0072 6 1.00 1.64 .0073 8 1.00 1.78 .0074 5 1.00 1.54 .0075 4 1.00 1.94 .0076 4 1.00 2.42 .0077 9 1.00 1.34 .0078 4 1.00 2.60 .0079 6 1.00 1.87 .0080 4 1.00 1.58 .0081 4 1.00 1.35 .0082 5 1.00 1.52 .0083 5 1.00 1.58 .0084 5 1.00 1.07 .0085 4 1.00 1.22 .0086 6 1.00 1.21 .0087 5 1.00 1.06 .0088 6 1.00 1.10 .0089 5 1.00 1.00 .0090 2 1.00 0.61 .0091 3 1.00 0.82 .0092 4 1.00 1.55 .0093 4 1.00 2.02 .0094 5 1.00 1.59 .0095 3 1.00 1.90 .0096 3 1.00 2.16 .0097 3 1.00 2.04 .0098 6 1.00 1.73 .0099 7 1.00 1.78 .0100 4 1.00 2.07 .0101 4 1.00 2.09 .0102 3 1.00 2.44 .0103 5 1.00 2.11 .0104 5 1.00 1.91 .0105 5 1.00 2.04 .0106 6 1.00 2.19 .0107 5 1.00 1.77 .0108 8 1.00 1.80 .0109 6 1.00 1.99 .0110 4 1.00 2.35 .0111 3 1.00 2.32 .0112 4 1.00 2.30 .0113 6 1.00 1.56 .0114 4 1.00 2.36 .0115 5 1.00 1.66 .0116 4 1.00 1.57 .0117 5 1.00 1.94 .0118 4 1.00 1.88 .0119 6 1.00 1.93 .0120 3 1.00 2.03 .0121 5 1.00 1.96 .0122 6 1.00 1.76 .0123 3 1.00 2.10 .0124 4 1.00 2.55 .0125 4 1.00 2.00 .0126 6 1.00 1.75 .0127 4 1.00 2.21 .0128 5 1.00 1.90 .0129 5 1.00 2.27 .0130 4 1.00 2.48 .0131 4 1.00 2.49 .0132 5 1.00 1.90 .0133 4 1.00 2.12 .0134 4 1.00 1.85 .0135 4 1.00 1.86 .0136 6 1.00 2.01 .0137 6 1.00 1.61 .0138 7 1.00 1.51 .0139 6 1.00 1.73 .0140 3 1.00 2.12 .0141 3 1.00 2.17 .0142 6 1.00 1.85 .0143 3 1.00 2.12 .0144 3 1.00 2.07 .0145 5 1.00 1.69 .0146 5 1.00 1.60 .0147 4 1.00 2.14 .0148 4 1.00 2.12 .0149 5 1.00 1.85 .0150 5 1.00 2.13 .0151 4 1.00 1.89 .0152 5 1.00 2.06 .0153 4 1.00 2.26 .0154 6 1.00 1.46 .0155 6 1.00 1.19 .0156 4 1.00 1.69 .0157 6 1.00 1.49 .0158 6 1.00 1.88 .0159 7 1.00 1.31 .0160 5 1.00 1.88 .0161 7 1.00 1.69 .0162 5 1.00 2.02 .0163 4 1.00 2.54 .0164 5 1.00 2.43 .0165 4 1.00 2.15 .0166 6 1.00 2.04 .0167 5 1.00 2.04 .0168 7 1.00 1.95 .0169 3 1.00 3.04 .0170 5 1.00 1.74 .0171 3 1.00 2.77 .0172 6 1.00 2.56 .0173 5 1.00 2.38 .0174 4 1.00 2.40 .0175 7 1.00 1.83 .0176 4 1.00 2.33 .0177 7 1.00 1.86 .0178 4 1.00 2.60 .0179 5 1.00 2.17 .0180 3 1.00 1.64 .0181 3 1.00 1.72 .0182 4 1.00 1.55 .0183 4 1.00 1.57 .0184 6 1.00 1.17 .0185 4 1.00 1.60 .0186 7 1.00 1.40 .0187 9 1.00 1.32 .0188 5 1.00 1.56 .0189 5 1.00 1.68 .0190 6 1.00 1.73 .0191 7 1.00 1.92 .0192 5 1.00 1.58 .0193 5 1.00 1.31 .0194 4 1.00 1.46 .0195 4 1.00 1.70 .0196 5 1.00 1.45 .0197 5 1.00 1.56 .0198 6 1.00 1.50 .0199 5 1.00 1.63 .0200 5 1.00 2.17 .0201 3 1.00 2.56 .0202 4 1.00 2.19 .0203 3 1.00 2.55 .0204 7 1.00 1.79 .0205 5 1.00 1.75 .0206 5 1.00 1.52 .0207 4 1.00 1.96 .0208 4 1.00 1.77 .0209 4 1.00 2.03 .0210 4 1.00 2.16 .0211 5 1.00 2.21 .0212 4 1.00 2.28 .0213 3 1.00 2.40 .0214 4 1.00 2.18 .0215 5 1.00 2.32 .0216 5 1.00 2.09 .0217 10 1.00 1.43 .0218 6 1.00 2.17 .0219 4 1.00 2.31 .0220 5 1.00 1.50 .0221 6 1.00 1.60 .0222 7 1.00 1.38 .0223 4 1.00 1.86 .0224 5 1.00 1.54 .0225 6 1.00 1.13 .0226 7 1.00 1.08 .0227 4 1.00 1.60 .0228 6 1.00 1.36 .0229 6 1.00 1.63 .0230 4 1.00 2.07 .0231 4 1.00 1.85 .0232 5 1.00 1.73 .0233 4 1.00 2.05 .0234 3 1.00 2.46 .0235 4 1.00 2.09 .0236 7 1.00 1.60 .0237 6 1.00 1.59 .0238 3 1.00 2.49 .0239 8 1.00 12.47 .0240 4 1.00 2.10 .0241 4 1.00 1.83 .0242 4 1.00 2.04 .0243 6 1.00 1.30 .0244 5 1.00 1.90 .0245 4 1.00 2.00 .0246 4 1.00 1.48 .0247 3 1.00 2.35 .0248 5 1.00 1.35 .0249 4 1.00 1.88 .0250 4 1.00 1.99 .0251 1 1.00 0.65 .0252 4 1.00 1.75 .0253 5 1.00 2.45 .0254 6 1.00 1.56 .0255 4 1.00 2.24 .0256 4 1.00 2.36 .0257 5 1.00 2.39 .0258 5 1.00 1.85 .0259 3 1.00 2.17 .0260 4 1.00 1.26 .0261 4 1.00 1.84 .0262 5 1.00 2.10 .0263 6 1.00 1.26 .0264 3 1.00 2.36 .0265 4 1.00 2.50 .0266 4 1.00 2.11 .0267 4 1.00 2.38 .0268 3 1.00 2.52 .0269 4 1.00 2.21 .0270 4 1.00 2.30 .0271 6 1.00 1.92 .0272 4 1.00 2.12 .0273 4 1.00 2.30 .0274 4 1.00 2.27 .0275 3 1.00 2.62 .0276 4 1.00 2.60 .0277 4 1.00 2.62 .0278 4 1.00 2.78 .0279 3 1.00 1.29 .0280 5 1.00 3.30 .0281 4 1.00 3.04 .0282 6 1.00 3.02 .0283 4 1.00 3.03 .0284 4 1.00 3.67 .0285 4 1.00 3.15 .0286 3 1.00 3.71 .0287 3 1.00 4.40 .0288 5 1.00 3.06 .0289 4 1.00 3.76 .0290 3 1.00 3.54 .0291 4 1.00 3.45 .0292 5 1.00 3.89 .0293 4 1.00 3.30 .0294 3 1.00 1.98 .0295 3 1.00 4.16 .0296 7 1.00 3.65 .0297 4 1.00 3.60 .0298 4 1.00 4.01 .0299 4 1.00 4.16 .0300 5 1.00 3.05 .0301 3 1.00 3.57 .0302 3 1.00 3.54 .0303 3 1.00 3.32 .0304 3 1.00 3.27 .0305 3 1.00 3.41 .0306 4 1.00 3.49 .0307 4 1.00 3.43 .0308 3 1.00 3.25 .0309 5 1.00 3.45 .0310 4 1.00 3.80 .0311 4 1.00 4.20 .0312 4 1.00 3.93 .0313 3 1.00 3.84 .0314 6 1.00 3.05 .0315 3 1.00 3.56 .0316 4 1.00 3.50 .0317 4 1.00 3.46 .0318 3 1.00 3.93 .0319 4 1.00 3.53 EXTRACT_IMAGE: b1: masked 2345 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 0 FITDISPERSION: b1: Median wavelength widths = 0.90 0.89 1.01 0.98 pix (LL LR UL UR) SPCALIB: b1: Extracting arc # 2 of 2 SPCALIB: b1: Reading arc sdR-b1-00034757.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.67077 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1220.70 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1201. DN is 4 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 2.92370 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1020.99 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1005. DN is 0 SDSSPROC: b1: Number of saturated rows = 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b1: Fraction of bad pixels in arc = 4.19617e-05 SPCALIB: b1: Arc sdR-b1-00034757.fit paired with flat sdR-b1-00034756.fit MATCH_TRACE: b1: Iteration: 0 Pixels Rejected: 4356 Finished? 0 MATCH_TRACE: b1: Iteration: 1 Pixels Rejected: 287 Finished? 0 MATCH_TRACE: b1: Iteration: 2 Pixels Rejected: 33 Finished? 0 MATCH_TRACE: b1: Iteration: 3 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: b1: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: b1: Iteration: 5 Pixels Rejected: 0 Finished? 1 SPCALIB: b1: Shifting traces with match_trace 0.00738525 SPCALIB: b1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 1.20 .0004 1 0.92 1.23 .0005 1 0.92 1.16 .0006 1 0.92 1.20 .0007 1 0.92 1.32 .0008 1 0.92 1.51 .0009 2 0.92 2.07 .0010 1 0.92 3.01 .0011 1 0.92 4.58 .0012 2 0.93 4.81 .0013 2 0.93 4.94 .0014 1 0.93 4.53 .0015 1 0.93 3.84 .0016 3 0.93 3.77 .0017 2 0.93 3.15 .0018 1 0.93 2.32 .0019 1 0.93 2.53 .0020 2 0.93 2.24 .0021 1 0.93 1.77 .0022 1 0.93 1.51 .0023 1 0.93 1.43 .0024 1 0.93 1.26 .0025 1 0.93 1.22 .0026 1 0.93 1.14 .0027 1 0.93 1.11 .0028 1 0.93 1.07 .0029 1 0.93 1.12 .0030 1 0.93 1.11 .0031 1 0.93 1.10 .0032 1 0.93 1.12 .0033 1 0.93 0.98 .0034 1 0.93 1.04 .0035 1 0.93 1.07 .0036 1 0.93 1.11 .0037 1 0.93 1.07 .0038 1 0.93 1.04 .0039 1 0.93 1.08 .0040 3 0.93 1.17 .0041 1 0.93 1.16 .0042 1 0.93 1.14 .0043 1 0.93 1.19 .0044 1 0.93 1.16 .0045 1 0.93 1.25 .0046 2 0.93 1.58 .0047 3 0.93 2.54 .0048 1 0.93 5.28 .0049 1 0.93 4.93 .0050 2 0.93 5.33 .0051 1 0.93 5.87 .0052 1 0.93 5.29 .0053 1 0.93 4.38 .0054 1 0.93 3.59 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0.95 1.13 .0111 1 0.95 1.21 .0112 1 0.95 1.12 .0113 1 0.95 1.10 .0114 1 0.95 1.24 .0115 2 0.95 1.04 .0116 1 0.95 1.03 .0117 1 0.95 1.00 .0118 1 0.95 1.06 .0119 1 0.95 0.98 .0120 1 0.95 0.99 .0121 1 0.95 1.06 .0122 1 0.95 1.06 .0123 1 0.95 1.01 .0124 1 0.95 0.98 .0125 1 0.95 1.05 .0126 1 0.95 1.04 .0127 1 0.95 1.02 .0128 1 0.95 1.06 .0129 1 0.95 1.03 .0130 1 0.95 1.04 .0131 1 0.95 1.05 .0132 1 0.95 1.04 .0133 1 0.95 1.00 .0134 1 0.95 1.03 .0135 1 0.95 1.04 .0136 1 0.95 1.06 .0137 1 0.95 1.00 .0138 1 0.95 1.07 .0139 1 0.95 1.03 .0140 1 0.95 1.07 .0141 1 0.95 1.18 .0142 3 0.95 1.11 .0143 1 0.95 1.12 .0144 1 0.95 1.36 .0145 1 0.95 1.42 .0146 1 0.95 1.47 .0147 1 0.95 1.50 .0148 1 0.95 1.44 .0149 1 0.95 1.44 .0150 1 0.95 1.39 .0151 1 0.95 1.31 .0152 1 0.95 1.16 .0153 1 0.95 1.15 .0154 1 0.95 1.15 .0155 1 0.95 1.11 .0156 1 0.95 1.15 .0157 1 0.95 1.09 .0158 1 0.95 1.08 .0159 2 0.95 1.11 .0160 1 0.95 1.08 .0161 1 0.95 1.05 .0162 1 0.95 1.06 .0163 1 0.95 1.10 .0164 1 0.95 1.12 .0165 2 0.95 1.06 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0.96 2.92 .0222 1 0.96 3.11 .0223 1 0.96 2.47 .0224 1 0.96 2.50 .0225 1 0.96 2.44 .0226 1 0.96 2.03 .0227 1 0.96 1.66 .0228 1 0.96 1.50 .0229 1 0.96 1.47 .0230 2 0.96 1.46 .0231 1 0.96 1.46 .0232 1 0.96 1.20 .0233 1 0.96 1.10 .0234 1 0.96 1.12 .0235 1 0.96 1.05 .0236 2 0.96 1.18 .0237 2 0.96 1.28 .0238 1 0.96 1.10 .0239 1 0.96 1.21 .0240 1 0.96 1.37 .0241 1 0.96 1.55 .0242 1 0.96 2.79 .0243 1 0.96 4.75 .0244 1 0.96 4.46 .0245 1 0.96 4.41 .0246 1 0.96 4.91 .0247 1 0.96 4.16 .0248 1 0.96 3.74 .0249 1 0.96 3.32 .0250 1 0.96 2.64 .0251 1 0.96 2.06 .0252 1 0.96 1.93 .0253 1 0.96 1.78 .0254 1 0.96 1.74 .0255 2 0.96 1.47 .0256 1 0.96 1.33 .0257 1 0.96 1.27 .0258 1 0.96 1.13 .0259 1 0.97 1.12 .0260 1 0.97 1.08 .0261 2 0.97 1.08 .0262 3 0.97 1.13 .0263 2 0.97 1.09 .0264 1 0.97 1.09 .0265 1 0.97 1.11 .0266 1 0.97 1.09 .0267 1 0.97 1.06 .0268 1 0.97 1.09 .0269 1 0.97 0.99 .0270 1 0.97 1.09 .0271 1 0.97 1.04 .0272 1 0.97 1.17 .0273 1 0.97 1.08 .0274 1 0.97 0.99 .0275 1 0.97 1.11 .0276 1 0.97 1.04 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0.98 1.00 .1663 1 0.99 1.02 .1664 2 0.99 1.02 .1665 1 0.99 1.24 .1666 2 0.99 1.06 .1667 1 0.99 1.18 .1668 1 0.99 1.03 .1669 1 0.99 0.98 .1670 1 0.99 1.00 .1671 1 0.99 1.06 .1672 1 0.99 1.01 .1673 1 0.99 0.98 .1674 1 0.99 1.02 .1675 1 0.99 1.05 .1676 1 0.99 0.99 .1677 1 0.99 0.98 .1678 1 0.99 1.02 .1679 1 0.99 1.02 .1680 1 0.99 1.07 .1681 1 0.99 1.05 .1682 1 0.99 1.05 .1683 1 0.99 1.02 .1684 2 0.99 0.97 .1685 1 0.99 1.02 .1686 1 0.99 0.95 .1687 1 0.99 1.04 .1688 2 0.99 1.05 .1689 1 0.99 1.02 .1690 1 0.99 1.03 .1691 2 0.99 1.08 .1692 1 0.99 1.19 .1693 1 0.99 1.01 .1694 1 0.99 1.07 .1695 1 0.99 0.95 .1696 1 0.99 1.03 .1697 1 0.99 0.97 .1698 1 0.99 1.05 .1699 2 0.99 1.07 .1700 1 0.99 1.03 .1701 1 0.99 1.04 .1702 1 0.99 1.04 .1703 1 0.99 1.00 .1704 1 0.99 1.00 .1705 1 0.99 1.04 .1706 1 0.99 1.05 .1707 1 0.99 1.06 .1708 1 0.99 0.97 .1709 1 0.99 1.03 .1710 1 0.99 1.00 .1711 1 0.99 1.00 .1712 2 0.99 1.10 .1713 1 0.99 0.98 .1714 1 0.99 1.00 .1715 1 0.99 1.01 .1716 2 0.99 1.10 .1717 1 0.99 1.03 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0.99 1.59 .1774 1 0.99 1.74 .1775 1 0.99 1.71 .1776 1 0.99 1.70 .1777 1 0.99 1.65 .1778 1 0.99 1.85 .1779 1 0.99 1.54 .1780 2 0.99 1.58 .1781 1 0.99 1.60 .1782 1 0.99 1.43 .1783 1 0.99 1.35 .1784 1 0.99 1.35 .1785 1 0.99 1.46 .1786 1 0.99 1.43 .1787 1 0.99 1.39 .1788 1 0.99 1.42 .1789 1 0.99 1.36 .1790 2 0.99 1.40 .1791 1 0.99 1.32 .1792 1 0.99 1.28 .1793 1 0.99 1.26 .1794 1 0.99 1.21 .1795 2 0.99 1.32 .1796 1 0.99 1.36 .1797 1 0.99 1.43 .1798 1 0.99 1.43 .1799 1 0.99 1.65 .1800 1 0.99 2.10 .1801 1 0.99 4.13 .1802 1 0.99 9.44 .1803 1 0.99 11.61 .1804 1 0.99 12.04 .1805 1 0.99 15.05 .1806 1 0.99 15.67 .1807 1 0.99 12.97 .1808 1 0.99 10.08 .1809 1 0.99 9.03 .1810 1 0.99 8.38 .1811 1 0.99 9.44 .1812 1 0.99 7.94 .1813 1 0.99 7.23 .1814 1 0.99 7.62 .1815 1 0.99 8.15 .1816 1 0.99 7.99 .1817 1 0.99 7.73 .1818 1 0.99 7.62 .1819 1 0.99 7.69 .1820 1 0.99 7.03 .1821 2 0.99 6.48 .1822 2 0.99 6.79 .1823 3 0.99 5.35 .1824 4 0.99 4.28 .1825 2 0.99 3.95 .1826 1 0.99 3.48 .1827 1 0.99 3.44 .1828 1 0.99 2.91 .1829 1 0.99 2.55 .1830 2 0.99 2.63 .1831 3 0.99 2.28 .1832 1 0.99 1.78 .1833 1 0.99 1.36 .1834 3 0.99 1.17 .1835 3 0.99 1.13 .1836 1 0.99 1.15 .1837 1 0.99 1.03 .1838 1 0.99 1.06 .1839 1 0.99 1.10 .1840 1 0.99 1.08 .1841 1 0.99 1.11 .1842 1 0.99 1.05 .1843 2 0.99 1.10 .1844 1 0.99 1.27 .1845 1 0.99 1.07 .1846 1 0.99 1.05 .1847 3 0.99 1.10 .1848 3 0.99 1.12 .1849 4 0.99 1.19 .1850 5 0.99 1.28 .1851 3 0.99 1.29 .1852 2 0.99 1.00 .1853 1 0.99 1.05 .1854 1 0.99 1.07 .1855 1 0.99 1.07 .1856 1 0.99 1.06 .1857 1 0.99 1.03 .1858 1 0.99 1.05 .1859 1 0.99 1.07 .1860 1 0.99 1.03 .1861 1 0.99 1.05 .1862 1 0.99 1.05 .1863 1 0.99 1.01 .1864 1 0.99 1.02 .1865 1 0.99 1.05 .1866 1 0.99 1.02 .1867 1 0.99 1.09 .1868 1 0.99 1.00 .1869 1 0.99 1.06 .1870 1 0.99 1.00 .1871 1 0.99 1.07 .1872 1 0.99 1.08 .1873 1 0.99 1.06 .1874 1 0.99 0.99 .1875 1 0.99 1.00 .1876 3 0.99 1.03 .1877 3 0.99 1.03 .1878 1 0.99 0.98 .1879 1 0.99 1.04 .1880 1 0.99 1.00 .1881 1 0.99 0.96 .1882 1 0.99 1.08 .1883 1 0.99 1.01 .1884 1 0.99 1.02 .1885 1 0.99 0.94 .1886 1 0.99 1.01 .1887 1 0.99 1.22 .1888 3 0.99 1.08 .1889 2 0.99 1.13 .1890 1 0.99 1.02 .1891 1 0.99 0.98 .1892 1 0.99 1.00 .1893 1 0.99 1.00 .1894 1 0.99 0.94 .1895 1 0.99 1.07 .1896 1 0.99 0.98 .1897 1 0.99 1.01 .1898 1 0.99 1.05 .1899 1 0.99 1.02 .1900 3 0.99 1.03 .1901 2 0.99 1.10 .1902 1 0.99 1.00 .1903 1 0.99 0.93 .1904 1 0.99 1.07 .1905 1 0.99 1.06 .1906 1 0.99 1.04 .1907 1 0.99 1.03 .1908 1 0.99 1.02 .1909 1 0.99 0.89 .1910 1 0.99 1.01 .1911 1 0.99 0.96 .1912 1 0.99 1.01 .1913 1 0.99 1.00 .1914 1 0.99 1.02 .1915 1 0.99 0.89 .1916 1 0.99 1.01 .1917 1 0.99 0.98 .1918 1 0.99 0.99 .1919 1 0.99 0.95 .1920 1 0.99 0.95 .1921 1 0.99 1.11 .1922 3 0.99 1.04 .1923 1 0.99 1.07 .1924 1 0.99 1.03 .1925 2 0.99 1.02 .1926 1 0.99 0.96 .1927 1 0.99 0.98 .1928 1 0.99 0.97 .1929 1 0.99 1.01 .1930 1 0.99 1.00 .1931 2 0.99 1.01 .1932 1 0.99 0.99 .1933 1 0.99 1.00 .1934 1 0.99 0.97 .1935 1 0.99 0.97 .1936 1 0.99 0.99 .1937 1 0.99 1.05 .1938 1 0.99 1.03 .1939 2 0.99 0.99 .1940 1 0.99 0.99 .1941 1 0.99 0.99 .1942 1 0.99 0.99 .1943 1 0.99 1.01 .1944 1 0.99 1.04 .1945 2 0.99 0.99 .1946 1 0.99 0.98 .1947 1 0.99 1.04 .1948 1 0.99 0.96 .1949 1 0.99 1.02 .1950 1 0.99 0.98 .1951 3 0.99 1.01 .1952 1 0.99 1.16 .1953 1 0.99 1.00 .1954 1 0.99 0.99 .1955 1 0.99 1.01 .1956 1 0.99 0.96 .1957 2 0.99 1.06 .1958 1 0.99 1.01 .1959 1 0.99 1.03 .1960 1 0.99 0.98 .1961 1 0.99 0.96 .1962 1 0.99 0.99 .1963 1 0.99 1.06 .1964 1 0.99 1.00 .1965 1 0.99 1.00 .1966 1 0.99 0.97 .1967 1 0.99 1.01 .1968 1 0.99 1.02 .1969 1 0.99 1.01 .1970 2 0.99 0.99 .1971 1 0.99 1.05 .1972 1 0.99 0.93 .1973 1 0.99 0.97 .1974 1 0.99 0.97 .1975 1 0.99 0.99 .1976 1 0.99 0.97 .1977 1 0.99 1.03 .1978 1 0.99 1.02 .1979 1 0.99 0.95 .1980 2 0.99 1.04 .1981 1 0.99 0.98 .1982 1 0.99 0.97 .1983 1 0.99 1.00 .1984 1 0.99 0.95 .1985 1 0.99 1.02 .1986 1 0.99 0.93 .1987 1 0.99 1.01 .1988 1 0.99 0.98 .1989 1 0.99 0.97 .1990 1 0.99 1.00 .1991 2 0.99 0.97 .1992 1 0.99 0.95 .1993 1 0.99 1.00 .1994 1 0.99 0.97 .1995 2 0.99 1.03 .1996 2 0.99 0.99 .1997 1 0.99 0.94 .1998 1 0.99 1.14 .1999 2 0.99 1.08 .2000 2 1.00 1.01 .2001 3 1.00 0.99 .2002 2 1.00 1.01 .2003 1 1.00 0.99 .2004 1 1.00 1.03 .2005 1 1.00 0.98 .2006 1 1.00 1.02 .2007 1 1.00 0.96 .2008 1 1.00 0.96 .2009 1 1.00 0.96 .2010 1 1.00 0.96 .2011 1 1.00 0.99 .2012 1 1.00 0.92 .2013 1 1.00 0.90 .2014 1 1.00 1.10 .2015 2 1.00 1.12 .2016 3 1.00 1.05 .2017 3 1.00 0.97 .2018 1 1.00 1.02 .2019 2 1.00 1.02 .2020 3 1.00 1.02 .2021 2 1.00 1.12 .2022 1 1.00 1.23 .2023 1 1.00 0.96 .2024 1 1.00 0.94 .2025 1 1.00 0.99 .2026 1 1.00 0.98 .2027 1 1.00 0.97 .2028 1 1.00 0.96 .2029 1 1.00 0.97 .2030 1 1.00 0.99 .2031 1 1.00 0.98 .2032 1 1.00 1.02 .2033 1 1.00 0.96 .2034 1 1.00 0.94 .2035 1 1.00 0.96 .2036 1 1.00 0.95 .2037 1 1.00 1.00 .2038 1 1.00 0.92 .2039 1 1.00 1.01 .2040 3 1.00 0.96 .2041 1 1.00 1.06 .2042 1 1.00 0.99 .2043 1 1.00 0.97 .2044 1 1.00 1.00 .2045 1 1.00 0.98 .2046 1 1.00 0.93 .2047 1 1.00 1.05 EXTRACT_IMAGE: b1: masked 446 pixels SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b1: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b1: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Searching about coefficients = 3.68891 -0.10509 -0.00419 0.00016 ARCFIT_ITER: b1: Searching lags from -146 to 146 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 ARCFIT_GUESS: b1: Initial wavelength fit = 3.68881 -0.10537 -0.00431 0.00018 ARCFIT_GUESS: b1: Initial correlation = 0.761474 FITARCIMAGE_GLOBAL: b1: Best correlation = 0.761474 FITARCIMAGE_GLOBAL: b1: ASET = 3.68881 -0.10537 -0.00431 0.00018 SPCALIB: b1: Searching for wavelength solution FITARCIMAGE_GLOBAL: b1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: Iterating flux-weighted centers . 0 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 1 0 -2.8418779 0.23534547 . 1 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 2 0 2.9381085 0.29847101 . 2 320 0.044 . 3 320 0.045 . 4 320 0.042 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 5 0 3.5779453 5.0797959 0.30383349 0.40389223 8.4409316 1 . 5 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 6 0 3.7979266 0.28340490 . 6 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 7 0 9.4974099 0.21624395 . 7 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 8 0 17.957962 0.21050977 . 8 320 0.045 . 9 320 0.048 . 10 320 0.045 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 11 0 1.3900893 3.8258640 0.32854206 -0.0000000 8.5198412 1 . 11 320 0.046 . 12 320 0.059 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 13 0 12.510539 4.1310528 0.32547156 0.37228863 9.5654920 1 . 13 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 14 0 1.9593039 0.22263049 . 14 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 15 0 6.2820290 0.21294376 . 15 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 16 0 13.086401 0.20149749 . 16 320 0.045 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 17 0 11.360922 4.0217053 0.31098710 0.33273619 10.205534 1 . 17 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 18 0 11.704723 0.24257241 . 18 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 19 0 8.8884820 0.28691774 . 19 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 20 0 1.6589624 0.23806247 . 20 320 0.715 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 21 0 -0.88710074 0.21355206 . 21 320 0.055 . 22 320 0.050 . 23 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 24 0 11.375768 0.22027779 . 24 320 0.046 . 25 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 26 0 -4.4673385 0.20289619 . 26 320 0.046 . 27 320 0.049 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 28 0 7.2488178 4.0046519 0.32363167 0.37957733 9.7465391 1 . 28 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 29 0 1.2728126 0.24994834 . 29 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 30 0 10.859339 0.21070292 . 30 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 31 0 10.848898 0.20972098 . 31 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 32 0 -4.2503166 0.21725523 . 32 320 0.045 . 33 320 0.060 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 34 0 6.9902213 0.21929965 . 34 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 35 0 10.218026 0.24250597 . 35 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 36 0 -1.4629261 0.24530475 . 36 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 37 0 9.2259615 0.23180528 . 37 320 0.046 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 38 0 6.8864776 4.7070232 0.32905161 0.41578280 8.8963730 1 . 38 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 39 0 9.8772346 0.23836272 . 39 320 0.056 . 40 320 0.062 . 41 320 0.056 . 42 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 43 0 13.182129 0.25988085 . 43 320 0.054 . 44 320 0.046 . 45 320 0.045 . 46 320 0.043 . 47 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 48 0 12.535315 0.23080435 . 48 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 49 0 14.591669 0.20488616 . 49 320 0.055 . 50 320 0.053 . 51 320 0.052 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 52 0 9.6853020 3.8839494 0.30909128 -0.0000000 8.9106639 1 . 52 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 53 0 7.6571075 0.22600191 . 53 320 0.057 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 54 0 4.6426998 0.26196625 . 54 320 0.056 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 55 0 6.9137867 3.8546802 0.36869561 -0.0000000 8.6012427 2 . 55 320 0.049 . 56 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 57 0 4.7744766 0.29332529 . 57 320 0.044 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 58 0 2.9074602 0.21833290 . 58 320 0.051 . 59 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 60 0 2.7977548 0.20031646 . 60 320 0.054 . 61 320 0.053 . 62 320 0.043 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 63 0 8.8038813 0.22012838 . 63 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 64 0 4.8530081 0.26603107 . 64 320 0.042 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 65 0 4.4594446 0.25978933 . 65 320 0.047 . 66 320 0.048 . 67 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 68 0 6.9571031 0.24196230 . 68 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 69 0 16.690746 0.20616516 . 69 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 70 0 1.9459602 0.24936761 . 70 320 0.048 . 71 320 0.047 . 72 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 73 0 7.0400569 0.29394363 . 73 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 74 0 12.346055 0.24706098 . 74 320 0.051 . 75 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 76 0 7.4521530 0.22316183 . 76 320 0.052 . 77 320 0.049 . 78 320 0.048 . 79 320 0.058 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 80 0 4.3149547 0.24649460 . 80 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 81 0 8.6152902 0.20162564 . 81 320 0.040 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 82 0 9.0090659 3.8635619 0.50068038 0.57193891 9.0298141 1 . 82 320 0.049 . 83 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 84 0 4.1307911 0.25220537 . 84 320 0.051 . 85 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 86 0 9.1137627 0.21423330 . 86 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 87 0 1.5062207 0.27121461 . 87 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 88 0 7.3165479 0.21488508 . 88 320 0.059 . 89 320 0.047 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -5.1884101 3.0321852 1.6241195 -0.0000000 8.3842283 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 90 1 -34.300016 0.22138497 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -12.235969 2.8375131 0.58302357 -0.0000000 8.9917216 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -5.4791779 3.1022263 0.54990995 0.52941539 8.5587868 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 5 -10.761615 2.7941788 0.98086565 -0.0000000 8.4244466 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 6 -0.76985263 2.8280829 3001.6199 0.0000000 30286689. 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 7 -7.9189372 2.5329906 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 9 -54.181866 3.1556161 2.2395340 -0.0000000 9.9635110 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 10 -42.611898 2.8493397 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 11 -28.468608 2.9759301 0.44148474 -0.0000000 9.2963818 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 12 -19.250880 2.5803981 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 13 -25.905135 2.6563980 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 90 14 -7.9300905 2.8998739 0.37349688 -0.0000000 9.1805047 1 . 90 320 0.219 . 91 320 0.059 . 92 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 93 0 12.832034 0.28571005 . 93 320 0.057 . 94 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 95 0 1.6427615 0.24225941 . 95 320 0.048 . 96 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 97 0 7.5951048 0.20804169 . 97 320 0.049 . 98 320 0.045 . 99 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 100 0 7.0463986 0.26646726 . 100 320 0.045 . 101 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 102 0 7.8495523 0.20455252 . 102 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 103 0 1.5752261 0.20881169 . 103 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 104 0 4.5105275 0.21282736 . 104 320 0.130 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 105 0 5.0108113 0.22395808 . 105 320 0.058 . 106 320 0.051 . 107 320 0.045 . 108 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 109 0 10.002830 0.22418181 . 109 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 110 0 5.9766027 0.26141923 . 110 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 111 0 6.9012097 0.28522994 . 111 320 0.048 . 112 320 0.049 . 113 320 0.052 . 114 320 0.047 . 115 320 0.051 . 116 320 0.051 . 117 320 0.058 . 118 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 119 0 8.1276837 0.21736908 . 119 320 0.061 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 120 0 2.6860455 0.21610590 . 120 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 121 0 12.254522 0.21452667 . 121 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 122 0 0.41440731 0.21298456 . 122 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 123 0 -0.68269565 0.20299700 . 123 320 0.051 . 124 320 0.050 . 125 320 0.050 . 126 320 0.053 . 127 320 0.048 . 128 320 0.050 . 129 320 0.051 . 130 320 0.050 . 131 320 0.049 . 132 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 133 0 13.414488 0.27724313 . 133 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 134 0 5.1703642 0.22117159 . 134 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 135 0 8.0915306 0.28724770 . 135 320 0.048 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 136 0 4.7245377 4.8486913 0.31384697 0.39539214 8.6353926 1 . 136 320 0.056 . 137 320 0.060 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 138 0 8.2199215 0.23600694 . 138 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 139 0 6.5480693 0.22626163 . 139 320 0.051 . 140 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 141 0 3.3216389 0.21779873 . 141 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 142 0 1.9869262 0.21237300 . 142 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 143 0 7.9477536 0.25264354 . 143 320 0.056 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 144 0 6.4094862 4.4373964 89.892499 0.0000000 609082.20 5 . 144 320 0.176 . 145 320 0.043 . 146 320 0.046 . 147 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 148 0 7.0744649 0.21322113 . 148 320 0.059 . 149 320 0.045 . 150 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 151 0 8.6801944 0.23211915 . 151 320 0.051 . 152 320 0.057 . 153 320 0.046 . 154 320 0.052 . 155 320 0.045 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 156 0 10.426933 4.4675385 0.30103390 0.36429146 9.3084914 1 . 156 320 0.053 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 157 0 5.2120770 0.20698736 . 157 320 0.052 . 158 320 0.054 . 159 320 0.050 . 160 320 0.056 . 161 320 0.052 . 162 320 0.048 . 163 320 0.051 . 164 320 0.059 . 165 320 0.051 . 166 320 0.050 . 167 320 0.051 . 168 320 0.054 . 169 320 0.050 . 170 320 0.061 . 171 320 0.052 . 172 320 0.048 . 173 320 0.053 . 174 320 0.048 . 175 320 0.047 . 176 320 0.050 . 177 320 0.050 . 178 320 0.054 . 179 320 0.058 . 180 320 0.057 . 181 320 0.053 . 182 320 0.053 . 183 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 184 0 8.2583594 0.22820581 . 184 320 0.051 . 185 320 0.052 . 186 320 0.050 . 187 320 0.052 . 188 320 0.048 . 189 320 0.057 . 190 320 0.059 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 191 0 5.5767805 3.0842545 0.33993900 -0.0000000 7.0958298 2 . 191 320 0.052 . 192 320 0.048 . 193 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 194 0 3.8045145 0.22577007 . 194 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 195 0 3.3191770 0.20928992 . 195 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 196 0 5.3678288 0.28235689 . 196 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 197 0 7.2552783 0.22069153 . 197 320 0.734 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 198 0 7.8671894 0.21948920 . 198 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 199 0 -0.94022084 0.23296023 . 199 320 0.048 . 200 320 0.064 . 201 320 0.048 . 202 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 203 0 5.2889530 0.21202491 . 203 320 0.056 . 204 320 0.050 . 205 320 0.054 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 206 0 1.4542930 2.9714247 0.33143764 -0.0000000 6.9211276 2 . 206 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 207 0 1.7817445 0.28152588 . 207 320 0.050 . 208 320 0.055 . 209 320 0.056 . 210 320 0.051 . 211 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 212 0 14.473390 0.20436802 . 212 320 0.065 . 213 320 0.051 . 214 320 0.047 . 215 320 0.052 . 216 320 0.058 . 217 320 0.053 . 218 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 219 0 11.018191 0.21006188 . 219 320 0.054 . 220 320 0.053 . 221 320 0.047 . 222 320 0.050 . 223 320 0.054 . 224 320 0.052 . 225 320 0.048 . 226 320 0.047 . 227 320 0.046 . 228 320 0.055 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 229 0 10.368804 0.20872598 . 229 320 0.056 . 230 320 0.051 . 231 320 0.051 . 232 320 0.061 . 233 320 0.050 . 234 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 235 0 5.1201356 0.23610302 . 235 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 236 0 8.7270669 0.23352367 . 236 320 3.507 . 237 320 0.050 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 238 0 3.4730091 0.20456403 . 238 320 0.053 . 239 320 0.048 . 240 320 0.048 . 241 320 0.050 . 242 320 0.054 . 243 320 0.045 . 244 320 0.061 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 245 0 10.024416 4.1128665 0.30854328 0.37816241 7.8740512 1 . 245 320 0.058 . 246 320 0.045 . 247 320 0.046 . 248 320 0.045 . 249 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 250 0 0.63898114 0.20975099 . 250 320 0.055 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -2.2615777 2.0566835 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -4.6295589 3.3259049 0.43096995 0.45734599 9.5360949 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 251 2 -15.326562 0.28024827 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 3 8.2854940 4.6071965 0.47865453 -0.0000000 9.6575865 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -0.18350420 2.0140514 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 5 -5.7032921 2.0201215 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 6 -5.9939860 2.2221374 0.50529636 -0.0000000 6.4470454 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 7 -11.446378 2.3333742 0.63496411 -0.0000000 6.9175479 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 8 -26.327076 4.1078811 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 9 -42.562502 2.4785094 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 10 -44.444687 3.3973698 0.37332052 -0.0000000 6.9923177 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 11 -26.294886 2.8953401 0.45499631 -0.0000000 6.8200908 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 12 -20.515122 3.0478679 0.42549604 -0.0000000 6.2802251 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 13 -29.642001 3.0569770 0.40110493 -0.0000000 6.0348704 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 251 14 -8.7141768 2.3747666 0.60901794 -0.0000000 7.5077986 1 . 251 320 0.330 . 252 320 0.051 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 253 0 -1.4782521 0.22753706 . 253 320 0.057 . 254 320 0.050 . 255 320 0.050 . 256 320 0.052 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 257 0 2.8174774 0.21123712 . 257 320 0.051 . 258 320 0.051 . 259 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 260 0 0.96259975 0.29503132 . 260 320 0.053 . 261 320 0.051 . 262 320 0.053 . 263 320 0.049 . 264 320 0.047 . 265 320 0.047 . 266 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 267 0 5.4198568 0.21111644 . 267 320 0.052 . 268 320 0.050 . 269 320 0.051 . 270 320 0.047 . 271 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 272 0 5.1849096 0.21836669 . 272 320 0.047 . 273 320 0.057 . 274 320 0.047 . 275 320 0.043 . 276 320 0.046 . 277 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 278 0 8.8913099 0.21585577 . 278 320 0.052 . 279 320 0.032 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 280 0 11.618607 0.26829422 . 280 320 0.047 . 281 320 0.057 . 282 320 0.060 . 283 320 0.055 . 284 320 0.047 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 285 0 4.4586090 0.20107672 . 285 320 0.049 . 286 320 0.047 . 287 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 288 0 9.5645938 0.26083526 . 288 320 0.046 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 289 0 8.6806721 0.21172098 . 289 320 0.048 . 290 320 0.058 . 291 320 0.054 . 292 320 0.049 . 293 320 0.046 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 0 -7.0216191 2.2468012 0.65210470 -0.0000000 6.7860500 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 1 16.042600 2.6364836 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -13.296676 2.4122133 0.45806819 -0.0000000 7.4944062 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 3 33.950883 4.5098344 0.42957649 -0.0000000 9.3451352 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 4 1.3794273 2.3835519 0.45292164 -0.0000000 7.1694974 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 5 -2.0985700 2.0051315 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 6 -0.36413166 2.2293123 0.67067015 -0.0000000 6.6367482 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 7 -7.8312430 2.8539939 0.52943809 -0.0000000 6.0906308 1 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 8 38.319544 0.27296322 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 294 10 -43.410570 0.29715714 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 11 -15.719700 3.1924743 0.70586177 -0.0000000 6.4590671 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 12 -16.236131 2.7491076 0.51989975 -0.0000000 5.9899763 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 13 -14.819121 3.0938524 0.56140066 -0.0000000 6.3750003 1 TRACE_MPFITPEAK: b1: FAIL: spec, arc, peak, xerr, status, msg 294 14 -6.1954321 3.6913732 0.41368094 0.51164698 6.1855964 1 . 294 320 0.127 . 295 320 0.049 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 296 0 2.3930592 0.22491022 . 296 320 0.049 . 297 320 0.049 . 298 320 0.056 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 299 0 2.8444309 0.21426117 . 299 320 0.056 . 300 320 0.051 . 301 320 0.054 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 302 0 9.3797783 0.22447974 . 302 320 0.054 . 303 320 0.042 . 304 320 0.050 . 305 320 0.045 . 306 320 0.043 . 307 320 0.051 . 308 320 0.050 . 309 320 0.044 . 310 320 0.050 . 311 320 0.048 . 312 320 0.056 . 313 320 0.048 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 314 0 1.2038761 0.20260327 . 314 320 0.045 . 315 320 0.047 . 316 320 0.045 . 317 320 0.044 . 318 320 0.045 TRACE_MPFITPEAK: b1: POOR: spec, arc, peak, xerr, status, msg 319 0 4.0477077 0.21768384 . 319 320 0.047 FITARCIMAGE_GLOBAL: b1: Line 0, at 3983.8390 Ang: ERR= 0.170395 ERR_RMS= 0.0438867 pix, 19 masked. FITARCIMAGE_GLOBAL: b1: Line 1, at 4046.5720 Ang: ERR= 0.00476268 ERR_RMS= 0.0124523 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 2, at 4077.8380 Ang: ERR= 0.0163965 ERR_RMS= 0.0149911 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 3, at 4358.3370 Ang: ERR= 0.00324602 ERR_RMS= 0.0107722 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 4, at 4678.1490 Ang: ERR= 0.0315244 ERR_RMS= 0.00393975 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 5, at 4799.9120 Ang: ERR= 0.0161641 ERR_RMS= 0.00185668 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 6, at 4916.0700 Ang: ERR= 0.0525032 ERR_RMS= 0.0105585 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 7, at 5085.8220 Ang: ERR= 0.0120394 ERR_RMS= 0.00151977 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 8, at 5460.7530 Ang: ERR= 0.00249761 ERR_RMS= 0.0177561 pix, 1 masked. FITARCIMAGE_GLOBAL: b1: Line 9, at 5769.5980 Ang: ERR= 0.00508182 ERR_RMS= 0.0106959 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 10, at 5790.6630 Ang: ERR= 0.00513624 ERR_RMS= 0.0164068 pix, 2 masked. FITARCIMAGE_GLOBAL: b1: Line 11, at 5852.4880 Ang: ERR= 0.00749332 ERR_RMS= 0.000686139 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 12, at 5881.8950 Ang: ERR= 0.00973264 ERR_RMS= 0.000949939 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 13, at 5944.8340 Ang: ERR= 0.00780550 ERR_RMS= 0.000694431 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Line 14, at 6029.9970 Ang: ERR= 0.0153493 ERR_RMS= 0.00157357 pix, 3 masked. FITARCIMAGE_GLOBAL: b1: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b1: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 1 1 15 1 2 15 1 3 15 1 4 15 1 5 15 1 6 15 1 7 15 0 8 15 0 9 15 1 10 15 0 11 15 1 12 15 0 13 15 1 14 15 1 15 15 0 16 15 1 17 15 1 18 15 1 19 15 1 20 15 0 21 15 0 22 15 0 23 15 1 24 15 0 25 15 1 26 15 1 27 15 0 28 15 1 29 15 1 30 15 1 31 15 1 32 15 1 33 15 0 34 15 1 35 15 0 36 15 1 37 15 1 38 15 1 39 15 1 40 15 1 41 15 0 42 15 1 43 15 1 44 15 1 45 15 0 46 15 0 47 15 0 48 15 1 49 15 0 50 15 1 51 15 1 52 15 1 53 15 0 54 15 0 55 15 1 56 15 0 57 15 1 58 15 1 59 15 0 60 15 1 61 15 0 62 15 0 63 15 0 64 15 1 65 15 1 66 15 1 67 15 0 68 15 1 69 15 1 70 15 0 71 15 0 72 15 1 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 1 82 15 1 83 15 1 84 15 0 85 15 0 86 15 0 87 15 1 88 15 1 89 15 0 90 15 12 91 15 2 92 15 0 93 15 1 94 15 0 95 15 0 96 15 1 97 15 1 98 15 1 99 15 0 100 15 0 101 15 1 102 15 0 103 15 0 104 15 0 105 15 0 106 15 1 107 15 1 108 15 0 109 15 0 110 15 1 111 15 1 112 15 1 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 1 119 15 1 120 15 0 121 15 1 122 15 1 123 15 1 124 15 0 125 15 0 126 15 1 127 15 1 128 15 1 129 15 1 130 15 1 131 15 1 132 15 0 133 15 0 134 15 1 135 15 1 136 15 1 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 1 145 15 0 146 15 0 147 15 0 148 15 0 149 15 1 150 15 0 151 15 0 152 15 0 153 15 0 154 15 1 155 15 0 156 15 1 157 15 0 158 15 1 159 15 0 160 15 1 161 15 0 162 15 0 163 15 0 164 15 1 165 15 1 166 15 0 167 15 0 168 15 1 169 15 0 170 15 1 171 15 1 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 1 178 15 0 179 15 0 180 15 1 181 15 1 182 15 0 183 15 0 184 15 1 185 15 0 186 15 0 187 15 0 188 15 1 189 15 0 190 15 1 191 15 1 192 15 1 193 15 1 194 15 0 195 15 1 196 15 0 197 15 0 198 15 0 199 15 1 200 15 0 201 15 1 202 15 0 203 15 0 204 15 0 205 15 1 206 15 1 207 15 0 208 15 0 209 15 1 210 15 0 211 15 0 212 15 0 213 15 1 214 15 0 215 15 1 216 15 1 217 15 1 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 1 225 15 0 226 15 0 227 15 0 228 15 0 229 15 1 230 15 0 231 15 0 232 15 1 233 15 0 234 15 0 235 15 1 236 15 1 237 15 0 238 15 0 239 15 1 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 1 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 14 252 15 1 253 15 1 254 15 0 255 15 0 256 15 0 257 15 1 258 15 1 259 15 0 260 15 1 261 15 0 262 15 1 263 15 1 264 15 0 265 15 0 266 15 0 267 15 1 268 15 1 269 15 1 270 15 0 271 15 0 272 15 0 273 15 0 274 15 1 275 15 0 276 15 1 277 15 0 278 15 1 279 15 4 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 1 288 15 0 289 15 0 290 15 1 291 15 0 292 15 1 293 15 0 294 15 12 295 15 0 296 15 0 297 15 0 298 15 1 299 15 2 300 15 1 301 15 1 302 15 1 303 15 0 304 15 0 305 15 0 306 15 1 307 15 1 308 15 1 309 15 1 310 15 1 311 15 0 312 15 0 313 15 1 314 15 1 315 15 1 316 15 1 317 15 0 318 15 1 319 15 1 XY2TRACESET: b1: Total rejected = 189 Pass 1 complete FITARCIMAGE_GLOBAL: b1: Number of arclines after bundle test = 14 b1: # Lambda Bundles b1: 0 3983.84 4 2 2 0 1 0 1 2 0 1 1 0 1 1 0 0 FITARCIMAGE_GLOBAL: b1: NOT masking these lines FITARCLINES: b1: ncoeffs (x,y): 4 5 FITARCLINES: b1: errored out 1 fibers: 251 FITARCLINES: b1: fit rchi2: 0.11420612 FITARCLINES: b1: offset stddev: 320 2.1535897e-13 FITARCLINES: b1: scale stddev: 320 3.7621721e-13 FITARCLINES: b1: poly x,y,stddev: 0 0 7.0523050e-07 FITARCLINES: b1: poly x,y,stddev: 1 0 2.0551503e-06 FITARCLINES: b1: poly x,y,stddev: 2 0 1.5959467e-06 FITARCLINES: b1: poly x,y,stddev: 3 0 3.2097215e-06 FITARCLINES: b1: poly x,y,stddev: 0 1 4.8177826e-07 FITARCLINES: b1: poly x,y,stddev: 1 1 1.4036518e-06 FITARCLINES: b1: poly x,y,stddev: 2 1 1.0910699e-06 FITARCLINES: b1: poly x,y,stddev: 3 1 2.1929863e-06 FITARCLINES: b1: poly x,y,stddev: 0 2 4.7893658e-07 FITARCLINES: b1: poly x,y,stddev: 1 2 1.4127918e-06 FITARCLINES: b1: poly x,y,stddev: 2 2 1.1106158e-06 FITARCLINES: b1: poly x,y,stddev: 3 2 2.2291562e-06 FITARCLINES: b1: correcting per-fiber coefficients for fibers: 90 239 251 294 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b1: Total rejected = 0 FITARCIMAGE_GLOBAL: b1: BADARC lines masked: 90 239 251 294 FITARCIMAGE_GLOBAL: b1: IVAR=0 centroids masked: 57 Final arcfit complete FITARCIMAGE_GLOBAL: b1: Time 43. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 5 1.00 1.98 .0001 4 1.00 2.95 .0002 4 1.00 3.34 .0003 7 1.00 2.72 .0004 4 1.00 2.10 .0005 5 1.00 2.13 .0006 7 1.00 1.79 .0007 4 1.00 2.27 .0008 5 1.00 2.44 .0009 7 1.00 1.88 .0010 5 1.00 2.37 .0011 6 1.00 2.49 .0012 6 1.00 2.52 .0013 5 1.00 2.47 .0014 5 1.00 1.74 .0015 6 1.00 2.03 .0016 7 1.00 2.13 .0017 4 1.00 2.30 .0018 4 1.00 1.79 .0019 5 1.00 1.99 .0020 4 1.00 2.96 .0021 4 1.00 2.41 .0022 5 1.00 2.52 .0023 5 1.00 2.24 .0024 5 1.00 1.85 .0025 5 1.00 1.76 .0026 5 1.00 1.79 .0027 4 1.00 2.16 .0028 9 1.00 0.98 .0029 6 1.00 1.66 .0030 4 1.00 1.82 .0031 5 1.00 1.74 .0032 3 1.00 2.11 .0033 6 1.00 1.32 .0034 4 1.00 1.82 .0035 6 1.00 1.33 .0036 6 1.00 1.45 .0037 7 1.00 1.59 .0038 5 1.00 1.50 .0039 8 1.00 0.96 .0040 4 1.00 1.49 .0041 5 1.00 1.47 .0042 6 1.00 1.70 .0043 6 1.00 1.78 .0044 10 1.00 1.21 .0045 5 1.00 1.30 .0046 6 1.00 1.21 .0047 6 1.00 1.71 .0048 9 1.00 1.59 .0049 6 1.00 2.21 .0050 6 1.00 1.95 .0051 5 1.00 1.68 .0052 6 1.00 1.89 .0053 6 1.00 1.43 .0054 6 1.00 2.08 .0055 6 1.00 1.53 .0056 6 1.00 1.22 .0057 6 1.00 1.28 .0058 5 1.00 1.74 .0059 8 1.00 1.43 .0060 5 1.00 1.68 .0061 6 1.00 1.73 .0062 4 1.00 1.93 .0063 6 1.00 1.40 .0064 5 1.00 1.74 .0065 5 1.00 1.93 .0066 8 1.00 1.69 .0067 9 1.00 1.70 .0068 8 1.00 1.65 .0069 4 1.00 1.98 .0070 5 1.00 1.76 .0071 3 1.00 2.43 .0072 5 1.00 2.32 .0073 6 1.00 2.09 .0074 11 1.00 1.69 .0075 6 1.00 1.94 .0076 7 1.00 1.59 .0077 7 1.00 1.85 .0078 7 1.00 1.47 .0079 7 1.00 1.63 .0080 6 1.00 1.25 .0081 6 1.00 1.03 .0082 3 1.00 1.50 .0083 7 1.00 1.33 .0084 8 1.00 1.06 .0085 4 1.00 1.54 .0086 7 1.00 1.39 .0087 5 1.00 1.28 .0088 4 1.00 1.56 .0089 4 1.00 1.36 .0090 2 1.00 0.64 .0091 4 1.00 0.83 .0092 4 1.00 2.00 .0093 6 1.00 1.81 .0094 5 1.00 1.29 .0095 6 1.00 1.29 .0096 10 1.00 0.92 .0097 6 1.00 1.14 .0098 5 1.00 1.41 .0099 8 1.00 1.34 .0100 6 1.00 1.18 .0101 7 1.00 1.38 .0102 8 1.00 1.25 .0103 10 1.00 1.10 .0104 3 1.00 2.02 .0105 6 1.00 1.52 .0106 7 1.00 1.58 .0107 5 1.00 1.73 .0108 4 1.00 1.66 .0109 9 1.00 1.67 .0110 4 1.00 1.80 .0111 5 1.00 1.49 .0112 6 1.00 1.62 .0113 6 1.00 1.65 .0114 7 1.00 1.54 .0115 5 1.00 2.04 .0116 4 1.00 2.12 .0117 4 1.00 2.20 .0118 4 1.00 2.51 .0119 5 1.00 1.92 .0120 5 1.00 2.04 .0121 6 1.00 1.94 .0122 5 1.00 1.77 .0123 4 1.00 2.67 .0124 7 1.00 2.02 .0125 5 1.00 2.42 .0126 9 1.00 1.72 .0127 5 1.00 2.38 .0128 6 1.00 2.04 .0129 4 1.00 2.96 .0130 7 1.00 2.06 .0131 6 1.00 2.26 .0132 5 1.00 2.34 .0133 6 1.00 2.07 .0134 5 1.00 1.81 .0135 4 1.00 2.18 .0136 5 1.00 2.84 .0137 4 1.00 2.23 .0138 3 1.00 2.10 .0139 5 1.00 2.23 .0140 5 1.00 1.89 .0141 4 1.00 2.09 .0142 5 1.00 2.16 .0143 6 1.00 1.98 .0144 7 1.00 1.56 .0145 7 1.00 1.59 .0146 6 1.00 1.72 .0147 6 1.00 2.38 .0148 5 1.00 1.98 .0149 9 1.00 1.45 .0150 6 1.00 2.21 .0151 7 1.00 2.02 .0152 6 1.00 1.95 .0153 4 1.00 2.20 .0154 5 1.00 1.58 .0155 4 1.00 1.71 .0156 4 1.00 2.01 .0157 3 1.00 2.07 .0158 4 1.00 2.56 .0159 5 1.00 1.80 .0160 8 1.00 1.59 .0161 5 1.00 1.79 .0162 6 1.00 1.73 .0163 5 1.00 2.10 .0164 4 1.00 2.06 .0165 6 1.00 1.90 .0166 4 1.00 2.00 .0167 5 1.00 1.90 .0168 5 1.00 1.59 .0169 4 1.00 2.25 .0170 5 1.00 2.13 .0171 5 1.00 1.90 .0172 5 1.00 2.39 .0173 4 1.00 1.91 .0174 6 1.00 1.90 .0175 5 1.00 1.99 .0176 4 1.00 2.07 .0177 5 1.00 2.03 .0178 5 1.00 2.41 .0179 6 1.00 1.67 .0180 8 1.00 1.65 .0181 8 1.00 1.40 .0182 6 1.00 1.71 .0183 6 1.00 1.63 .0184 5 1.00 1.38 .0185 4 1.00 1.82 .0186 5 1.00 1.73 .0187 4 1.00 1.75 .0188 4 1.00 1.75 .0189 4 1.00 1.75 .0190 5 1.00 1.74 .0191 4 1.00 1.83 .0192 4 1.00 1.70 .0193 8 1.00 1.32 .0194 8 1.00 1.16 .0195 4 1.00 1.78 .0196 8 1.00 1.15 .0197 7 1.00 1.38 .0198 5 1.00 1.27 .0199 4 1.00 1.56 .0200 4 1.00 1.99 .0201 5 1.00 1.89 .0202 5 1.00 2.27 .0203 4 1.00 2.20 .0204 4 1.00 2.21 .0205 4 1.00 2.12 .0206 5 1.00 1.70 .0207 3 1.00 2.42 .0208 4 1.00 2.32 .0209 4 1.00 1.99 .0210 3 1.00 2.69 .0211 5 1.00 2.21 .0212 4 1.00 1.95 .0213 4 1.00 2.06 .0214 6 1.00 1.77 .0215 6 1.00 1.77 .0216 4 1.00 2.19 .0217 4 1.00 1.86 .0218 5 1.00 2.36 .0219 5 1.00 2.38 .0220 5 1.00 1.79 .0221 6 1.00 1.64 .0222 4 1.00 1.93 .0223 4 1.00 2.01 .0224 3 1.00 2.55 .0225 6 1.00 1.69 .0226 5 1.00 1.54 .0227 4 1.00 1.93 .0228 4 1.00 2.19 .0229 4 1.00 1.61 .0230 7 1.00 1.67 .0231 5 1.00 1.44 .0232 5 1.00 1.89 .0233 6 1.00 1.56 .0234 4 1.00 1.81 .0235 4 1.00 2.04 .0236 5 1.00 1.88 .0237 4 1.00 1.65 .0238 4 1.00 1.95 .0239 20 1.00 5.08 .0240 4 1.00 2.29 .0241 5 1.00 1.88 .0242 5 1.00 1.71 .0243 8 1.00 1.35 .0244 6 1.00 1.70 .0245 5 1.00 1.62 .0246 7 1.00 1.06 .0247 5 1.00 1.84 .0248 4 1.00 1.64 .0249 5 1.00 1.90 .0250 5 1.00 1.88 .0251 1 1.00 0.62 .0252 4 1.00 2.08 .0253 5 1.00 2.22 .0254 5 1.00 1.84 .0255 6 1.00 1.91 .0256 5 1.00 2.06 .0257 5 1.00 1.92 .0258 5 1.00 2.03 .0259 4 1.00 2.38 .0260 4 1.00 1.10 .0261 4 1.00 2.22 .0262 5 1.00 2.42 .0263 6 1.00 2.04 .0264 4 1.00 1.97 .0265 3 1.00 2.28 .0266 4 1.00 1.94 .0267 5 1.00 2.22 .0268 4 1.00 2.45 .0269 4 1.00 2.29 .0270 4 1.00 2.27 .0271 6 1.00 1.86 .0272 4 1.00 2.49 .0273 4 1.00 2.65 .0274 5 1.00 2.17 .0275 5 1.00 2.05 .0276 4 1.00 2.20 .0277 7 1.00 2.22 .0278 10 1.00 1.83 .0279 5 1.00 0.88 .0280 4 1.00 3.57 .0281 4 1.00 3.59 .0282 4 1.00 3.15 .0283 5 1.00 3.36 .0284 5 1.00 3.20 .0285 4 1.00 3.40 .0286 4 1.00 3.41 .0287 4 1.00 3.22 .0288 5 1.00 3.35 .0289 4 1.00 3.71 .0290 5 1.00 3.72 .0291 6 1.00 3.56 .0292 6 1.00 3.62 .0293 4 1.00 3.41 .0294 2 1.00 1.78 .0295 4 1.00 3.26 .0296 4 1.00 3.95 .0297 5 1.00 3.48 .0298 4 1.00 3.86 .0299 5 1.00 4.11 .0300 4 1.00 3.12 .0301 3 1.00 3.95 .0302 3 1.00 3.49 .0303 4 1.00 3.30 .0304 3 1.00 3.34 .0305 5 1.00 2.82 .0306 5 1.00 2.76 .0307 3 1.00 4.05 .0308 5 1.00 3.05 .0309 3 1.00 3.60 .0310 3 1.00 3.94 .0311 3 1.00 4.04 .0312 3 1.00 3.79 .0313 3 1.00 3.89 .0314 3 1.00 4.09 .0315 3 1.00 3.93 .0316 5 1.00 3.58 .0317 3 1.00 4.13 .0318 6 1.00 3.80 .0319 4 1.00 3.75 EXTRACT_IMAGE: b1: masked 2571 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b1: Total rejected = 0 FITDISPERSION: b1: Median wavelength widths = 0.90 0.90 1.01 0.99 pix (LL LR UL UR) SPCALIB: b1: Create fiberflats for flat # 1 of 2 SPCALIB: b1: Flat sdR-b1-00034750.fit paired with arc sdR-b1-00034751.fit SPCALIB: b1: Reading flat sdR-b1-00034750.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.81448 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1220.93 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1202. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.09887 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1021.87 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1006. DN is 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 1.36 .0004 1 0.92 1.39 .0005 1 0.92 1.39 .0006 1 0.92 1.30 .0007 1 0.92 1.35 .0008 1 0.92 1.27 .0009 1 0.92 1.39 .0010 2 0.92 1.48 .0011 1 0.92 1.26 .0012 1 0.92 1.29 .0013 1 0.92 1.30 .0014 1 0.92 1.20 .0015 1 0.93 1.32 .0016 1 0.93 1.29 .0017 1 0.93 1.28 .0018 1 0.93 1.32 .0019 1 0.93 1.30 .0020 1 0.93 1.29 .0021 1 0.93 1.47 .0022 1 0.93 1.24 .0023 1 0.93 1.32 .0024 1 0.93 1.38 .0025 1 0.93 1.34 .0026 2 0.93 1.34 .0027 1 0.93 1.46 .0028 1 0.93 1.45 .0029 1 0.93 1.40 .0030 1 0.93 1.45 .0031 1 0.93 1.46 .0032 1 0.93 1.50 .0033 1 0.93 1.46 .0034 1 0.93 1.43 .0035 2 0.93 1.67 .0036 3 0.93 1.56 .0037 1 0.93 1.61 .0038 2 0.93 1.62 .0039 2 0.93 1.70 .0040 1 0.93 1.60 .0041 1 0.93 1.63 .0042 2 0.93 1.68 .0043 1 0.93 1.60 .0044 1 0.93 1.57 .0045 1 0.93 1.83 .0046 1 0.93 1.64 .0047 1 0.93 1.79 .0048 1 0.93 1.68 .0049 1 0.93 1.60 .0050 1 0.93 1.86 .0051 1 0.93 1.78 .0052 1 0.93 1.65 .0053 1 0.93 1.70 .0054 1 0.93 1.73 .0055 1 0.93 1.86 .0056 1 0.94 1.79 .0057 1 0.94 1.68 .0058 1 0.94 1.85 .0059 1 0.94 1.80 .0060 1 0.94 1.79 .0061 1 0.94 1.75 .0062 1 0.94 1.85 .0063 1 0.94 1.73 .0064 1 0.94 1.89 .0065 1 0.94 1.83 .0066 1 0.94 1.83 .0067 1 0.94 1.89 .0068 1 0.94 1.82 .0069 1 0.94 1.85 .0070 1 0.94 1.92 .0071 2 0.94 2.00 .0072 1 0.94 1.88 .0073 1 0.94 1.91 .0074 1 0.94 1.76 .0075 1 0.94 1.88 .0076 1 0.94 1.82 .0077 1 0.94 1.88 .0078 1 0.94 1.87 .0079 1 0.94 1.87 .0080 2 0.94 1.86 .0081 1 0.94 1.90 .0082 1 0.94 1.95 .0083 1 0.94 1.99 .0084 1 0.94 1.98 .0085 1 0.94 2.02 .0086 1 0.94 2.05 .0087 1 0.94 1.95 .0088 1 0.94 2.04 .0089 1 0.94 1.90 .0090 1 0.94 1.97 .0091 2 0.94 2.01 .0092 1 0.94 2.06 .0093 1 0.94 1.84 .0094 1 0.94 2.00 .0095 1 0.94 2.16 .0096 1 0.94 2.18 .0097 1 0.94 2.27 .0098 1 0.94 2.14 .0099 1 0.94 2.24 .0100 1 0.94 1.90 .0101 1 0.94 2.03 .0102 1 0.94 1.97 .0103 1 0.95 1.89 .0104 1 0.95 1.93 .0105 1 0.95 1.96 .0106 1 0.95 1.92 .0107 1 0.95 1.98 .0108 1 0.95 2.06 .0109 1 0.95 1.94 .0110 1 0.95 2.07 .0111 1 0.95 1.98 .0112 1 0.95 2.06 .0113 1 0.95 2.05 .0114 1 0.95 1.95 .0115 1 0.95 1.92 .0116 1 0.95 1.89 .0117 1 0.95 2.18 .0118 1 0.95 2.02 .0119 1 0.95 1.99 .0120 1 0.95 2.12 .0121 1 0.95 1.90 .0122 1 0.95 2.16 .0123 1 0.95 1.97 .0124 1 0.95 2.04 .0125 1 0.95 2.08 .0126 1 0.95 2.03 .0127 1 0.95 2.08 .0128 1 0.95 2.03 .0129 1 0.95 2.16 .0130 1 0.95 2.01 .0131 1 0.95 1.98 .0132 1 0.95 1.97 .0133 1 0.95 1.96 .0134 1 0.95 2.08 .0135 1 0.95 2.05 .0136 1 0.95 2.08 .0137 1 0.95 1.98 .0138 1 0.95 2.21 .0139 1 0.95 2.06 .0140 1 0.95 1.99 .0141 1 0.95 2.07 .0142 1 0.95 1.92 .0143 1 0.95 2.08 .0144 1 0.95 2.10 .0145 1 0.95 2.06 .0146 1 0.95 2.05 .0147 1 0.95 2.17 .0148 1 0.95 2.14 .0149 1 0.95 2.23 .0150 1 0.95 1.96 .0151 2 0.95 2.00 .0152 1 0.95 2.07 .0153 1 0.95 2.12 .0154 1 0.95 2.41 .0155 1 0.95 2.23 .0156 1 0.95 1.94 .0157 1 0.95 2.05 .0158 1 0.95 2.01 .0159 1 0.96 2.04 .0160 1 0.96 2.07 .0161 1 0.96 2.04 .0162 1 0.96 2.20 .0163 1 0.96 1.99 .0164 1 0.96 2.04 .0165 1 0.96 1.95 .0166 1 0.96 1.89 .0167 1 0.96 2.36 .0168 2 0.96 2.20 .0169 2 0.96 2.04 .0170 1 0.96 2.15 .0171 1 0.96 2.17 .0172 1 0.96 2.10 .0173 1 0.96 2.04 .0174 1 0.96 2.06 .0175 1 0.96 2.03 .0176 1 0.96 2.08 .0177 1 0.96 2.06 .0178 1 0.96 2.20 .0179 1 0.96 2.07 .0180 1 0.96 2.08 .0181 1 0.96 2.07 .0182 1 0.96 2.07 .0183 2 0.96 2.32 .0184 1 0.96 2.15 .0185 1 0.96 2.09 .0186 1 0.96 2.08 .0187 1 0.96 2.07 .0188 1 0.96 2.03 .0189 1 0.96 2.05 .0190 1 0.96 2.04 .0191 1 0.96 2.05 .0192 1 0.96 2.01 .0193 1 0.96 2.17 .0194 1 0.96 2.21 .0195 1 0.96 2.19 .0196 1 0.96 2.17 .0197 1 0.96 2.20 .0198 2 0.96 2.65 .0199 1 0.96 2.26 .0200 1 0.96 2.28 .0201 1 0.96 2.17 .0202 1 0.96 2.14 .0203 1 0.96 2.10 .0204 1 0.96 2.08 .0205 1 0.96 2.15 .0206 1 0.96 2.17 .0207 1 0.96 2.02 .0208 1 0.96 2.36 .0209 1 0.96 2.10 .0210 1 0.96 2.13 .0211 1 0.96 2.29 .0212 1 0.96 2.17 .0213 1 0.96 2.15 .0214 1 0.96 2.17 .0215 1 0.96 2.25 .0216 2 0.96 2.18 .0217 2 0.96 2.27 .0218 1 0.96 2.20 .0219 1 0.96 2.15 .0220 1 0.96 2.14 .0221 1 0.96 2.21 .0222 1 0.96 2.17 .0223 1 0.96 2.37 .0224 1 0.96 2.22 .0225 1 0.96 2.38 .0226 1 0.96 2.26 .0227 1 0.96 2.36 .0228 2 0.96 2.38 .0229 1 0.96 2.51 .0230 1 0.96 2.34 .0231 1 0.97 2.19 .0232 1 0.97 2.48 .0233 1 0.97 2.77 .0234 1 0.97 2.61 .0235 1 0.97 2.35 .0236 1 0.97 2.37 .0237 1 0.97 2.41 .0238 1 0.97 2.33 .0239 1 0.97 2.39 .0240 1 0.97 2.42 .0241 1 0.97 2.47 .0242 1 0.97 2.56 .0243 1 0.97 2.80 .0244 1 0.97 2.78 .0245 1 0.97 2.56 .0246 1 0.97 2.69 .0247 1 0.97 2.73 .0248 1 0.97 2.58 .0249 1 0.97 2.69 .0250 1 0.97 2.59 .0251 1 0.97 2.82 .0252 1 0.97 2.87 .0253 1 0.97 2.68 .0254 1 0.97 2.78 .0255 1 0.97 2.83 .0256 1 0.97 2.92 .0257 1 0.97 3.02 .0258 1 0.97 2.85 .0259 1 0.97 3.06 .0260 1 0.97 2.98 .0261 1 0.97 2.99 .0262 1 0.97 2.97 .0263 1 0.97 3.14 .0264 1 0.97 3.22 .0265 1 0.97 3.17 .0266 1 0.97 3.22 .0267 2 0.97 3.25 .0268 1 0.97 3.33 .0269 1 0.97 3.14 .0270 1 0.97 3.27 .0271 1 0.97 3.21 .0272 1 0.97 3.28 .0273 1 0.97 3.54 .0274 1 0.97 3.33 .0275 1 0.97 3.34 .0276 1 0.97 3.46 .0277 1 0.97 3.38 .0278 1 0.97 3.49 .0279 1 0.97 3.67 .0280 1 0.97 3.52 .0281 1 0.97 3.59 .0282 1 0.97 3.58 .0283 1 0.97 3.61 .0284 1 0.97 3.62 .0285 1 0.97 3.75 .0286 1 0.97 3.79 .0287 1 0.97 3.55 .0288 1 0.97 3.73 .0289 1 0.97 3.71 .0290 1 0.97 3.80 .0291 1 0.97 3.78 .0292 1 0.97 4.10 .0293 1 0.97 4.14 .0294 1 0.97 3.92 .0295 1 0.97 3.92 .0296 1 0.97 4.15 .0297 1 0.97 4.14 .0298 1 0.97 4.36 .0299 1 0.97 4.07 .0300 1 0.97 4.08 .0301 1 0.97 4.24 .0302 1 0.97 4.39 .0303 1 0.97 4.23 .0304 1 0.97 4.31 .0305 1 0.97 4.27 .0306 1 0.97 4.03 .0307 1 0.97 4.47 .0308 1 0.97 4.43 .0309 1 0.97 4.41 .0310 1 0.97 4.35 .0311 1 0.97 4.54 .0312 1 0.97 4.56 .0313 1 0.97 4.56 .0314 1 0.97 4.58 .0315 1 0.97 4.57 .0316 1 0.97 4.49 .0317 1 0.97 4.39 .0318 1 0.97 4.47 .0319 1 0.97 4.95 .0320 1 0.97 4.50 .0321 1 0.97 4.78 .0322 1 0.97 4.40 .0323 1 0.97 4.73 .0324 1 0.97 5.07 .0325 1 0.97 4.85 .0326 1 0.97 4.94 .0327 1 0.97 4.83 .0328 1 0.97 4.70 .0329 1 0.97 4.92 .0330 1 0.97 4.93 .0331 1 0.97 4.97 .0332 1 0.97 4.83 .0333 1 0.97 4.95 .0334 1 0.97 4.87 .0335 1 0.97 5.23 .0336 1 0.97 5.05 .0337 1 0.97 4.92 .0338 1 0.97 5.13 .0339 1 0.97 4.97 .0340 1 0.98 5.18 .0341 1 0.98 5.34 .0342 1 0.98 5.18 .0343 1 0.98 5.17 .0344 1 0.98 5.29 .0345 1 0.98 5.52 .0346 1 0.98 6.31 .0347 1 0.98 5.26 .0348 1 0.98 5.37 .0349 1 0.98 5.52 .0350 1 0.98 5.54 .0351 1 0.98 5.79 .0352 1 0.98 5.40 .0353 1 0.98 5.60 .0354 1 0.98 5.38 .0355 1 0.98 5.36 .0356 1 0.98 6.12 .0357 1 0.98 5.84 .0358 1 0.98 5.62 .0359 1 0.98 5.55 .0360 1 0.98 5.54 .0361 1 0.98 5.77 .0362 1 0.98 5.76 .0363 1 0.98 5.92 .0364 1 0.98 5.98 .0365 1 0.98 6.16 .0366 1 0.98 6.47 .0367 3 0.98 6.16 .0368 1 0.98 5.89 .0369 1 0.98 6.28 .0370 1 0.98 6.11 .0371 1 0.98 6.20 .0372 1 0.98 6.07 .0373 1 0.98 6.13 .0374 1 0.98 6.13 .0375 1 0.98 6.36 .0376 1 0.98 6.21 .0377 1 0.98 6.28 .0378 1 0.98 6.34 .0379 1 0.98 6.10 .0380 1 0.98 6.35 .0381 1 0.98 6.30 .0382 1 0.98 6.51 .0383 1 0.98 6.79 .0384 1 0.98 6.34 .0385 1 0.98 6.29 .0386 1 0.98 6.52 .0387 1 0.98 6.62 .0388 1 0.98 6.62 .0389 1 0.98 6.69 .0390 1 0.98 6.46 .0391 1 0.98 6.86 .0392 1 0.98 7.77 .0393 2 0.98 7.71 .0394 1 0.98 7.26 .0395 1 0.98 6.95 .0396 1 0.98 7.01 .0397 1 0.98 6.72 .0398 1 0.98 6.93 .0399 1 0.98 6.54 .0400 1 0.98 6.60 .0401 1 0.98 6.60 .0402 1 0.98 6.98 .0403 1 0.98 6.63 .0404 1 0.98 6.83 .0405 1 0.98 6.87 .0406 1 0.98 6.72 .0407 1 0.98 6.81 .0408 1 0.98 7.06 .0409 1 0.98 7.05 .0410 1 0.98 6.62 .0411 1 0.98 6.99 .0412 1 0.98 7.31 .0413 1 0.98 7.21 .0414 1 0.98 6.93 .0415 1 0.98 7.16 .0416 1 0.98 6.92 .0417 1 0.98 7.10 .0418 1 0.98 6.99 .0419 1 0.98 7.29 .0420 1 0.98 7.07 .0421 1 0.98 7.00 .0422 1 0.98 7.29 .0423 1 0.98 7.25 .0424 1 0.98 7.11 .0425 1 0.98 7.41 .0426 1 0.98 7.58 .0427 1 0.98 7.51 .0428 1 0.98 7.39 .0429 1 0.98 7.29 .0430 1 0.98 7.31 .0431 1 0.98 7.70 .0432 1 0.98 7.38 .0433 1 0.98 8.62 .0434 1 0.98 7.34 .0435 1 0.98 7.42 .0436 1 0.98 7.65 .0437 1 0.98 7.56 .0438 1 0.98 7.50 .0439 1 0.98 7.54 .0440 1 0.98 7.96 .0441 1 0.98 7.78 .0442 1 0.98 7.73 .0443 1 0.98 8.05 .0444 1 0.98 7.87 .0445 1 0.98 8.06 .0446 1 0.98 7.65 .0447 1 0.98 7.47 .0448 1 0.98 7.76 .0449 1 0.98 7.87 .0450 1 0.98 8.02 .0451 1 0.98 7.89 .0452 1 0.98 8.12 .0453 1 0.98 8.02 .0454 1 0.98 8.21 .0455 1 0.98 8.02 .0456 1 0.98 8.18 .0457 1 0.98 8.23 .0458 2 0.98 8.18 .0459 1 0.98 7.99 .0460 1 0.98 8.24 .0461 1 0.98 8.38 .0462 1 0.98 8.21 .0463 1 0.98 8.29 .0464 1 0.98 8.12 .0465 1 0.98 8.35 .0466 1 0.98 8.41 .0467 1 0.98 8.55 .0468 1 0.98 8.39 .0469 1 0.98 8.42 .0470 1 0.98 8.25 .0471 1 0.98 8.64 .0472 1 0.98 8.04 .0473 1 0.98 8.29 .0474 1 0.98 8.22 .0475 1 0.98 8.37 .0476 1 0.98 9.59 .0477 1 0.98 8.54 .0478 1 0.98 8.31 .0479 1 0.98 8.22 .0480 1 0.98 8.01 .0481 1 0.98 8.34 .0482 1 0.98 8.03 .0483 1 0.98 8.32 .0484 1 0.98 8.31 .0485 1 0.98 8.15 .0486 1 0.98 7.89 .0487 1 0.98 7.87 .0488 1 0.98 8.04 .0489 1 0.98 7.92 .0490 1 0.98 7.86 .0491 1 0.98 8.23 .0492 1 0.98 8.25 .0493 1 0.98 8.43 .0494 1 0.98 8.03 .0495 2 0.98 8.17 .0496 1 0.98 7.96 .0497 1 0.98 8.13 .0498 1 0.98 7.89 .0499 1 0.98 7.77 .0500 1 0.98 8.04 .0501 1 0.98 8.19 .0502 1 0.98 7.88 .0503 1 0.98 7.82 .0504 1 0.98 8.00 .0505 1 0.98 8.01 .0506 1 0.98 8.51 .0507 1 0.98 7.91 .0508 1 0.98 8.01 .0509 1 0.98 7.88 .0510 1 0.98 7.62 .0511 1 0.98 7.97 .0512 1 0.98 7.89 .0513 1 0.98 7.81 .0514 1 0.98 8.27 .0515 1 0.98 7.79 .0516 1 0.98 7.71 .0517 1 0.98 7.94 .0518 1 0.98 8.33 .0519 1 0.98 7.95 .0520 1 0.98 7.71 .0521 1 0.98 8.17 .0522 1 0.98 7.87 .0523 1 0.98 8.03 .0524 1 0.98 7.82 .0525 1 0.98 7.83 .0526 1 0.98 7.68 .0527 1 0.98 7.74 .0528 1 0.98 8.02 .0529 1 0.98 7.98 .0530 1 0.98 7.92 .0531 1 0.98 8.03 .0532 1 0.98 7.59 .0533 1 0.98 8.22 .0534 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7.36 .0590 1 0.98 7.32 .0591 1 0.98 7.47 .0592 1 0.98 7.34 .0593 1 0.98 7.47 .0594 1 0.98 7.33 .0595 1 0.98 7.34 .0596 1 0.98 7.36 .0597 1 0.98 7.30 .0598 1 0.98 7.52 .0599 1 0.98 7.21 .0600 1 0.98 7.46 .0601 1 0.98 7.42 .0602 1 0.98 7.22 .0603 1 0.98 7.39 .0604 1 0.98 7.30 .0605 1 0.98 7.04 .0606 1 0.98 7.30 .0607 1 0.98 7.33 .0608 1 0.98 7.51 .0609 1 0.98 7.28 .0610 1 0.98 7.39 .0611 1 0.98 7.28 .0612 1 0.98 7.20 .0613 1 0.98 7.64 .0614 1 0.98 7.19 .0615 1 0.98 7.45 .0616 1 0.98 7.49 .0617 1 0.98 7.38 .0618 1 0.98 7.31 .0619 1 0.98 7.26 .0620 1 0.98 7.27 .0621 1 0.98 7.36 .0622 1 0.98 7.32 .0623 1 0.98 7.17 .0624 1 0.98 7.04 .0625 1 0.98 7.42 .0626 1 0.98 7.01 .0627 1 0.98 7.24 .0628 1 0.98 7.06 .0629 1 0.98 7.30 .0630 1 0.98 7.10 .0631 1 0.98 7.22 .0632 1 0.98 7.23 .0633 1 0.98 7.12 .0634 1 0.98 7.23 .0635 1 0.98 7.04 .0636 1 0.98 7.29 .0637 1 0.98 7.16 .0638 1 0.98 7.07 .0639 1 0.98 7.19 .0640 1 0.98 7.14 .0641 1 0.98 7.10 .0642 1 0.98 7.15 .0643 1 0.98 7.11 .0644 1 0.98 7.00 .0645 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1.00 3.28 .1977 1 1.00 3.56 .1978 1 1.00 3.38 .1979 1 1.00 3.39 .1980 1 1.00 3.45 .1981 1 1.00 3.27 .1982 1 1.01 3.34 .1983 1 1.01 3.57 .1984 1 1.01 3.49 .1985 1 1.01 3.22 .1986 1 1.01 3.27 .1987 2 1.01 3.48 .1988 1 1.01 3.36 .1989 1 1.01 3.38 .1990 1 1.01 3.33 .1991 1 1.01 3.53 .1992 1 1.01 3.41 .1993 1 1.01 3.32 .1994 1 1.01 3.31 .1995 1 1.01 3.30 .1996 1 1.01 2.97 .1997 1 1.01 3.66 .1998 2 1.01 3.27 .1999 1 1.01 3.06 .2000 1 1.01 3.13 .2001 1 1.01 3.23 .2002 1 1.01 3.10 .2003 1 1.01 3.17 .2004 1 1.01 3.12 .2005 1 1.01 3.14 .2006 1 1.01 3.29 .2007 1 1.01 3.32 .2008 1 1.01 3.07 .2009 1 1.01 3.03 .2010 1 1.01 2.91 .2011 1 1.01 3.14 .2012 1 1.01 3.02 .2013 1 1.01 3.27 .2014 2 1.01 3.10 .2015 1 1.01 3.22 .2016 1 1.01 3.02 .2017 1 1.01 2.82 .2018 1 1.01 2.98 .2019 1 1.01 3.04 .2020 1 1.01 2.86 .2021 2 1.01 2.81 .2022 1 1.01 3.02 .2023 1 1.01 2.80 .2024 1 1.01 3.09 .2025 1 1.01 2.86 .2026 1 1.01 2.76 .2027 1 1.01 2.96 .2028 1 1.01 2.79 .2029 1 1.01 2.88 .2030 1 1.01 2.85 .2031 1 1.01 2.86 .2032 1 1.01 2.69 .2033 1 1.01 2.76 .2034 1 1.01 2.86 .2035 1 1.01 3.00 .2036 1 1.01 2.78 .2037 1 1.01 2.76 .2038 1 1.01 2.73 .2039 1 1.01 2.64 .2040 1 1.01 2.77 .2041 1 1.01 2.88 .2042 1 1.01 2.98 .2043 1 1.01 2.75 .2044 1 1.01 2.72 .2045 1 1.01 2.61 .2046 1 1.01 2.87 .2047 1 1.01 2.73 EXTRACT_IMAGE: b1: masked 54 pixels DOSCATTER: b1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b1: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b1: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 64 0.03 0.11 Step 10 of 2080 0.61 64 0.03 0.11 Step 14 of 2080 0.61 64 0.02 0.12 Step 18 of 2080 0.61 64 0.03 0.12 Step 22 of 2080 0.61 64 0.03 0.12 Step 26 of 2080 0.61 64 0.03 0.12 Step 30 of 2080 0.61 64 0.03 0.12 Step 34 of 2080 0.61 64 0.03 0.11 Step 38 of 2080 0.61 64 0.03 0.11 Step 42 of 2080 0.61 64 0.03 0.11 Step 46 of 2080 0.61 64 0.03 0.11 Step 50 of 2080 0.61 64 0.02 0.12 Step 54 of 2080 0.61 64 0.02 0.11 Step 58 of 2080 0.61 64 0.03 0.11 Step 62 of 2080 0.61 64 0.03 0.11 Step 66 of 2080 0.61 64 0.02 0.12 Step 70 of 2080 0.61 64 0.03 0.12 Step 74 of 2080 0.61 64 0.03 0.11 Step 78 of 2080 0.61 64 0.03 0.12 Step 82 of 2080 0.61 64 0.02 0.11 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.60 64 0.02 0.11 Step 94 of 2080 0.60 64 0.03 0.13 Step 98 of 2080 0.60 64 0.02 0.12 Step 102 of 2080 0.60 64 0.03 0.12 Step 106 of 2080 0.60 64 0.02 0.11 Step 110 of 2080 0.60 64 0.02 0.11 Step 114 of 2080 0.60 64 0.03 0.12 Step 118 of 2080 0.60 64 0.02 0.12 Step 122 of 2080 0.60 64 0.02 0.11 Step 126 of 2080 0.60 64 0.02 0.12 Step 130 of 2080 0.60 64 0.03 0.12 Step 134 of 2080 0.60 64 0.03 0.11 Step 138 of 2080 0.60 64 0.03 0.11 Step 142 of 2080 0.60 64 0.03 0.13 Step 146 of 2080 0.60 64 0.02 0.11 Step 150 of 2080 0.60 64 0.03 0.12 Step 154 of 2080 0.60 64 0.03 0.11 Step 158 of 2080 0.60 64 0.03 0.12 Step 162 of 2080 0.60 64 0.03 0.12 Step 166 of 2080 0.60 64 0.02 0.12 Step 170 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64 0.03 0.12 Step 1194 of 2080 0.47 64 0.04 0.13 Step 1198 of 2080 0.47 64 0.03 0.12 Step 1202 of 2080 0.47 64 0.04 0.12 Step 1206 of 2080 0.47 64 0.04 0.13 Step 1210 of 2080 0.47 64 0.03 0.12 Step 1214 of 2080 0.47 64 0.03 0.12 Step 1218 of 2080 0.47 64 0.04 0.11 Step 1222 of 2080 0.47 64 0.03 0.12 Step 1226 of 2080 0.47 64 0.03 0.12 Step 1230 of 2080 0.47 64 0.02 0.11 Step 1234 of 2080 0.47 64 0.02 0.11 Step 1238 of 2080 0.47 64 0.02 0.11 Step 1242 of 2080 0.47 64 0.02 0.11 Step 1246 of 2080 0.47 64 0.02 0.11 Step 1250 of 2080 0.47 64 0.02 0.11 Step 1254 of 2080 0.46 64 0.02 0.11 Step 1258 of 2080 0.46 64 0.02 0.12 Step 1262 of 2080 0.46 64 0.02 0.11 Step 1266 of 2080 0.46 64 0.03 0.11 Step 1270 of 2080 0.46 64 0.03 0.11 Step 1274 of 2080 0.46 64 0.03 0.12 Step 1278 of 2080 0.46 64 0.03 0.12 Step 1282 of 2080 0.46 64 0.03 0.13 Step 1286 of 2080 0.46 64 0.03 0.11 Step 1290 of 2080 0.46 64 0.03 0.12 Step 1294 of 2080 0.46 64 0.03 0.13 Step 1298 of 2080 0.46 64 0.03 0.12 Step 1302 of 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2080 0.41 64 0.02 0.12 Step 1750 of 2080 0.41 64 0.02 0.11 Step 1754 of 2080 0.41 64 0.02 0.11 Step 1758 of 2080 0.41 64 0.02 0.11 Step 1762 of 2080 0.41 64 0.02 0.10 Step 1766 of 2080 0.41 64 0.02 0.11 Step 1770 of 2080 0.41 64 0.02 0.11 Step 1774 of 2080 0.41 64 0.02 0.11 Step 1778 of 2080 0.41 64 0.04 0.13 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.12 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.12 Step 1798 of 2080 0.41 64 0.03 0.12 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.40 64 0.03 0.11 Step 1810 of 2080 0.40 64 0.03 0.11 Step 1814 of 2080 0.40 64 0.03 0.11 Step 1818 of 2080 0.40 64 0.03 0.11 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.03 0.11 Step 1834 of 2080 0.40 64 0.03 0.11 Step 1838 of 2080 0.40 64 0.03 0.11 Step 1842 of 2080 0.40 64 0.03 0.12 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.04 0.12 Step 1858 of 2080 0.40 64 0.04 0.13 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.03 0.11 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.03 0.12 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.03 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.11 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.04 0.13 Step 1906 of 2080 0.39 64 0.04 0.13 Step 1910 of 2080 0.39 64 0.04 0.13 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.04 0.13 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.04 0.12 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.02 0.11 Step 1942 of 2080 0.39 64 0.02 0.11 Step 1946 of 2080 0.39 64 0.02 0.12 Step 1950 of 2080 0.39 64 0.02 0.12 Step 1954 of 2080 0.39 64 0.02 0.12 Step 1958 of 2080 0.39 64 0.02 0.12 Step 1962 of 2080 0.39 64 0.02 0.11 Step 1966 of 2080 0.39 64 0.02 0.11 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.02 0.11 Step 1990 of 2080 0.39 64 0.03 0.13 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.03 0.12 Step 2002 of 2080 0.39 64 0.04 0.13 Step 2006 of 2080 0.38 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.04 0.12 Step 2018 of 2080 0.38 64 0.04 0.12 Step 2022 of 2080 0.38 64 0.04 0.12 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.04 0.13 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.11 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 32 0.02 0.07 Step 2050 of 2080 0.38 32 0.01 0.06 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.01 0.06 Step 2070 of 2080 0.38 32 0.02 0.06 Step 2074 of 2080 0.38 32 0.02 0.06 Step 2078 of 2080 0.38 32 0.01 0.06 ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 1.28 .0004 1 0.92 1.28 .0005 1 0.92 1.30 .0006 1 0.92 1.20 .0007 1 0.92 1.23 .0008 1 0.92 1.18 .0009 1 0.92 1.27 .0010 2 0.92 1.36 .0011 1 0.92 1.15 .0012 1 0.92 1.16 .0013 1 0.92 1.18 .0014 1 0.92 1.10 .0015 1 0.93 1.20 .0016 1 0.93 1.17 .0017 1 0.93 1.15 .0018 1 0.93 1.19 .0019 1 0.93 1.19 .0020 1 0.93 1.18 .0021 1 0.93 1.32 .0022 1 0.93 1.13 .0023 1 0.93 1.18 .0024 1 0.93 1.21 .0025 1 0.93 1.21 .0026 2 0.93 1.21 .0027 1 0.93 1.29 .0028 1 0.93 1.30 .0029 1 0.93 1.25 .0030 1 0.93 1.33 .0031 1 0.93 1.29 .0032 1 0.93 1.45 .0033 1 0.93 1.30 .0034 1 0.93 1.33 .0035 2 0.93 1.50 .0036 3 0.93 1.46 .0037 1 0.93 1.45 .0038 2 0.93 1.50 .0039 2 0.93 1.51 .0040 1 0.93 1.42 .0041 1 0.93 1.47 .0042 2 0.93 1.49 .0043 1 0.93 1.49 .0044 1 0.93 1.41 .0045 1 0.93 1.65 .0046 1 0.93 1.44 .0047 1 0.93 1.57 .0048 1 0.93 1.50 .0049 1 0.93 1.43 .0050 1 0.93 1.65 .0051 1 0.93 1.59 .0052 1 0.93 1.46 .0053 1 0.93 1.54 .0054 1 0.93 1.56 .0055 1 0.93 1.69 .0056 1 0.94 1.61 .0057 1 0.94 1.50 .0058 1 0.94 1.63 .0059 1 0.94 1.63 .0060 1 0.94 1.62 .0061 1 0.94 1.58 .0062 1 0.94 1.65 .0063 1 0.94 1.53 .0064 1 0.94 1.67 .0065 1 0.94 1.65 .0066 1 0.94 1.62 .0067 1 0.94 1.67 .0068 1 0.94 1.65 .0069 1 0.94 1.63 .0070 1 0.94 1.70 .0071 2 0.94 1.81 .0072 1 0.94 1.65 .0073 1 0.94 1.72 .0074 1 0.94 1.58 .0075 1 0.94 1.70 .0076 1 0.94 1.64 .0077 1 0.94 1.68 .0078 1 0.94 1.72 .0079 1 0.94 1.71 .0080 2 0.94 1.65 .0081 1 0.94 1.68 .0082 1 0.94 1.77 .0083 1 0.94 1.75 .0084 1 0.94 1.79 .0085 1 0.94 1.82 .0086 1 0.94 1.86 .0087 1 0.94 1.74 .0088 1 0.94 1.82 .0089 1 0.94 1.71 .0090 1 0.94 1.75 .0091 2 0.94 1.84 .0092 1 0.94 1.85 .0093 1 0.94 1.66 .0094 1 0.94 1.81 .0095 1 0.94 1.99 .0096 1 0.94 1.97 .0097 1 0.94 2.08 .0098 2 0.94 1.73 .0099 1 0.94 2.04 .0100 1 0.94 1.69 .0101 1 0.94 1.83 .0102 1 0.94 1.73 .0103 1 0.95 1.66 .0104 1 0.95 1.72 .0105 1 0.95 1.72 .0106 1 0.95 1.75 .0107 1 0.95 1.76 .0108 1 0.95 1.80 .0109 1 0.95 1.71 .0110 1 0.95 1.79 .0111 1 0.95 1.73 .0112 1 0.95 1.82 .0113 1 0.95 1.83 .0114 1 0.95 1.69 .0115 1 0.95 1.69 .0116 1 0.95 1.68 .0117 1 0.95 1.91 .0118 1 0.95 1.77 .0119 1 0.95 1.80 .0120 1 0.95 1.87 .0121 1 0.95 1.67 .0122 1 0.95 1.86 .0123 1 0.95 1.76 .0124 1 0.95 1.77 .0125 1 0.95 1.84 .0126 1 0.95 1.81 .0127 1 0.95 1.86 .0128 1 0.95 1.80 .0129 1 0.95 1.85 .0130 1 0.95 1.74 .0131 1 0.95 1.76 .0132 1 0.95 1.76 .0133 1 0.95 1.73 .0134 1 0.95 1.79 .0135 1 0.95 1.77 .0136 1 0.95 1.87 .0137 1 0.95 1.73 .0138 1 0.95 1.93 .0139 1 0.95 1.76 .0140 1 0.95 1.70 .0141 1 0.95 1.79 .0142 1 0.95 1.69 .0143 1 0.95 1.83 .0144 1 0.95 1.82 .0145 1 0.95 1.74 .0146 1 0.95 1.76 .0147 1 0.95 1.82 .0148 1 0.95 1.84 .0149 1 0.95 1.91 .0150 1 0.95 1.71 .0151 2 0.95 1.72 .0152 1 0.95 1.79 .0153 1 0.95 1.77 .0154 2 0.95 1.85 .0155 1 0.95 1.92 .0156 1 0.95 1.66 .0157 1 0.95 1.71 .0158 1 0.95 1.73 .0159 1 0.96 1.73 .0160 1 0.96 1.74 .0161 1 0.96 1.76 .0162 1 0.96 1.90 .0163 1 0.96 1.66 .0164 1 0.96 1.74 .0165 1 0.96 1.67 .0166 1 0.96 1.60 .0167 1 0.96 2.03 .0168 2 0.96 1.88 .0169 2 0.96 1.75 .0170 1 0.96 1.84 .0171 1 0.96 1.89 .0172 1 0.96 1.78 .0173 1 0.96 1.78 .0174 1 0.96 1.74 .0175 1 0.96 1.74 .0176 1 0.96 1.77 .0177 1 0.96 1.73 .0178 1 0.96 1.90 .0179 1 0.96 1.78 .0180 1 0.96 1.82 .0181 1 0.96 1.73 .0182 1 0.96 1.79 .0183 2 0.96 2.00 .0184 1 0.96 1.79 .0185 1 0.96 1.77 .0186 1 0.96 1.78 .0187 1 0.96 1.74 .0188 1 0.96 1.75 .0189 1 0.96 1.76 .0190 1 0.96 1.70 .0191 1 0.96 1.73 .0192 1 0.96 1.72 .0193 1 0.96 1.84 .0194 1 0.96 1.86 .0195 1 0.96 1.86 .0196 1 0.96 1.84 .0197 1 0.96 1.86 .0198 3 0.96 2.02 .0199 1 0.96 1.99 .0200 1 0.96 1.93 .0201 1 0.96 1.86 .0202 1 0.96 1.85 .0203 1 0.96 1.77 .0204 1 0.96 1.79 .0205 1 0.96 1.79 .0206 1 0.96 1.87 .0207 1 0.96 1.72 .0208 1 0.96 2.05 .0209 1 0.96 1.81 .0210 1 0.96 1.86 .0211 1 0.96 1.96 .0212 1 0.96 1.85 .0213 1 0.96 1.82 .0214 1 0.96 1.82 .0215 1 0.96 1.91 .0216 2 0.96 1.88 .0217 2 0.96 1.97 .0218 1 0.96 1.85 .0219 1 0.96 1.84 .0220 1 0.96 1.82 .0221 1 0.96 1.94 .0222 1 0.96 1.87 .0223 1 0.96 2.02 .0224 1 0.96 1.91 .0225 1 0.96 1.98 .0226 1 0.96 1.96 .0227 1 0.96 2.02 .0228 2 0.96 2.05 .0229 1 0.96 2.14 .0230 1 0.96 1.99 .0231 1 0.97 1.86 .0232 1 0.97 2.05 .0233 1 0.97 2.42 .0234 1 0.97 2.22 .0235 1 0.97 2.00 .0236 1 0.97 1.99 .0237 1 0.97 2.00 .0238 1 0.97 1.96 .0239 1 0.97 2.06 .0240 1 0.97 2.02 .0241 1 0.97 2.07 .0242 1 0.97 2.19 .0243 1 0.97 2.33 .0244 1 0.97 2.30 .0245 1 0.97 2.15 .0246 1 0.97 2.25 .0247 1 0.97 2.31 .0248 1 0.97 2.18 .0249 1 0.97 2.29 .0250 1 0.97 2.14 .0251 1 0.97 2.37 .0252 1 0.97 2.40 .0253 1 0.97 2.27 .0254 1 0.97 2.34 .0255 1 0.97 2.38 .0256 1 0.97 2.41 .0257 1 0.97 2.50 .0258 1 0.97 2.38 .0259 1 0.97 2.54 .0260 1 0.97 2.48 .0261 1 0.97 2.45 .0262 1 0.97 2.45 .0263 1 0.97 2.62 .0264 1 0.97 2.67 .0265 1 0.97 2.60 .0266 1 0.97 2.69 .0267 2 0.97 2.75 .0268 1 0.97 2.80 .0269 1 0.97 2.65 .0270 1 0.97 2.70 .0271 1 0.97 2.66 .0272 1 0.97 2.67 .0273 1 0.97 2.96 .0274 1 0.97 2.73 .0275 1 0.97 2.77 .0276 1 0.97 2.85 .0277 1 0.97 2.82 .0278 1 0.97 2.83 .0279 1 0.97 3.08 .0280 1 0.97 2.91 .0281 1 0.97 2.99 .0282 1 0.97 2.99 .0283 1 0.97 2.94 .0284 1 0.97 2.93 .0285 1 0.97 3.06 .0286 1 0.97 3.09 .0287 1 0.97 2.88 .0288 1 0.97 3.10 .0289 1 0.97 3.03 .0290 1 0.97 3.08 .0291 1 0.97 3.08 .0292 1 0.97 3.37 .0293 1 0.97 3.38 .0294 1 0.97 3.24 .0295 1 0.97 3.21 .0296 1 0.97 3.39 .0297 1 0.97 3.34 .0298 1 0.97 3.61 .0299 1 0.97 3.28 .0300 1 0.97 3.31 .0301 1 0.97 3.41 .0302 1 0.97 3.58 .0303 1 0.97 3.42 .0304 1 0.97 3.47 .0305 1 0.97 3.43 .0306 1 0.97 3.23 .0307 1 0.97 3.56 .0308 1 0.97 3.50 .0309 1 0.97 3.51 .0310 1 0.97 3.46 .0311 1 0.97 3.64 .0312 1 0.97 3.65 .0313 1 0.97 3.65 .0314 1 0.97 3.69 .0315 1 0.97 3.62 .0316 1 0.97 3.54 .0317 1 0.97 3.50 .0318 1 0.97 3.58 .0319 1 0.97 3.97 .0320 1 0.97 3.56 .0321 1 0.97 3.86 .0322 1 0.97 3.46 .0323 1 0.97 3.78 .0324 1 0.97 3.92 .0325 1 0.97 3.74 .0326 1 0.97 3.89 .0327 1 0.97 3.76 .0328 1 0.97 3.71 .0329 1 0.97 3.90 .0330 1 0.97 3.94 .0331 1 0.97 3.89 .0332 1 0.97 3.74 .0333 1 0.97 3.88 .0334 1 0.97 3.76 .0335 1 0.97 4.11 .0336 1 0.97 3.93 .0337 1 0.97 3.85 .0338 1 0.97 4.06 .0339 1 0.97 3.93 .0340 1 0.98 4.01 .0341 1 0.98 4.16 .0342 1 0.98 4.04 .0343 1 0.98 4.03 .0344 1 0.98 4.14 .0345 1 0.98 4.29 .0346 2 0.98 4.43 .0347 1 0.98 4.03 .0348 1 0.98 4.14 .0349 1 0.98 4.37 .0350 1 0.98 4.26 .0351 1 0.98 4.46 .0352 1 0.98 4.27 .0353 1 0.98 4.31 .0354 1 0.98 4.21 .0355 1 0.98 4.13 .0356 1 0.98 4.80 .0357 1 0.98 4.43 .0358 1 0.98 4.32 .0359 1 0.98 4.29 .0360 1 0.98 4.25 .0361 1 0.98 4.49 .0362 1 0.98 4.35 .0363 1 0.98 4.59 .0364 1 0.98 4.55 .0365 1 0.98 4.65 .0366 1 0.98 5.07 .0367 3 0.98 4.73 .0368 1 0.98 4.51 .0369 1 0.98 4.88 .0370 1 0.98 4.65 .0371 1 0.98 4.75 .0372 1 0.98 4.64 .0373 1 0.98 4.78 .0374 1 0.98 4.70 .0375 1 0.98 4.93 .0376 1 0.98 4.83 .0377 1 0.98 4.81 .0378 1 0.98 4.83 .0379 1 0.98 4.68 .0380 1 0.98 4.85 .0381 1 0.98 4.88 .0382 1 0.98 4.97 .0383 1 0.98 5.24 .0384 1 0.98 4.88 .0385 1 0.98 4.81 .0386 1 0.98 5.08 .0387 1 0.98 5.03 .0388 1 0.98 5.06 .0389 1 0.98 5.15 .0390 1 0.98 4.93 .0391 1 0.98 5.37 .0392 2 0.98 5.55 .0393 2 0.98 6.23 .0394 1 0.98 5.66 .0395 1 0.98 5.40 .0396 1 0.98 5.36 .0397 1 0.98 5.20 .0398 1 0.98 5.39 .0399 1 0.98 5.15 .0400 1 0.98 5.21 .0401 1 0.98 5.14 .0402 1 0.98 5.47 .0403 1 0.98 5.19 .0404 1 0.98 5.36 .0405 1 0.98 5.38 .0406 1 0.98 5.25 .0407 1 0.98 5.40 .0408 1 0.98 5.56 .0409 1 0.98 5.52 .0410 1 0.98 5.15 .0411 1 0.98 5.49 .0412 1 0.98 5.69 .0413 1 0.98 5.68 .0414 1 0.98 5.34 .0415 1 0.98 5.63 .0416 1 0.98 5.32 .0417 1 0.98 5.53 .0418 1 0.98 5.35 .0419 1 0.98 5.66 .0420 1 0.98 5.54 .0421 1 0.98 5.44 .0422 1 0.98 5.61 .0423 1 0.98 5.58 .0424 1 0.98 5.48 .0425 1 0.98 5.66 .0426 1 0.98 5.80 .0427 1 0.98 5.64 .0428 1 0.98 5.67 .0429 1 0.98 5.46 .0430 1 0.98 5.63 .0431 1 0.98 5.88 .0432 1 0.98 5.51 .0433 2 0.98 5.69 .0434 1 0.98 5.46 .0435 1 0.98 5.63 .0436 1 0.98 5.64 .0437 1 0.98 5.68 .0438 1 0.98 5.57 .0439 1 0.98 5.57 .0440 1 0.98 5.89 .0441 1 0.98 5.72 .0442 1 0.98 5.59 .0443 1 0.98 5.81 .0444 1 0.98 5.75 .0445 1 0.98 5.83 .0446 1 0.98 5.49 .0447 1 0.98 5.40 .0448 1 0.98 5.61 .0449 1 0.98 5.72 .0450 1 0.98 5.68 .0451 1 0.98 5.66 .0452 1 0.98 5.82 .0453 1 0.98 5.60 .0454 1 0.98 5.84 .0455 1 0.98 5.66 .0456 1 0.98 5.73 .0457 1 0.98 5.80 .0458 2 0.98 5.88 .0459 1 0.98 5.66 .0460 1 0.98 5.80 .0461 1 0.98 5.97 .0462 1 0.98 5.70 .0463 1 0.98 5.97 .0464 1 0.98 5.68 .0465 1 0.98 5.98 .0466 1 0.98 5.94 .0467 1 0.98 6.12 .0468 1 0.98 6.00 .0469 1 0.98 5.93 .0470 1 0.98 5.91 .0471 1 0.98 6.14 .0472 1 0.98 5.80 .0473 1 0.98 5.83 .0474 1 0.98 5.88 .0475 1 0.98 6.02 .0476 2 0.98 6.27 .0477 1 0.98 6.20 .0478 1 0.98 5.97 .0479 1 0.98 5.89 .0480 1 0.98 5.81 .0481 1 0.98 5.90 .0482 1 0.98 5.94 .0483 1 0.98 5.97 .0484 1 0.98 6.12 .0485 1 0.98 6.00 .0486 1 0.98 5.82 .0487 1 0.98 5.85 .0488 1 0.98 5.89 .0489 1 0.98 5.90 .0490 1 0.98 5.83 .0491 1 0.98 6.18 .0492 1 0.98 6.16 .0493 1 0.98 6.36 .0494 1 0.98 6.16 .0495 2 0.98 6.14 .0496 1 0.98 6.10 .0497 1 0.98 6.29 .0498 1 0.98 6.04 .0499 1 0.98 6.04 .0500 1 0.98 6.13 .0501 1 0.98 6.25 .0502 1 0.98 6.07 .0503 1 0.98 6.04 .0504 1 0.98 6.19 .0505 1 0.98 6.30 .0506 1 0.98 6.69 .0507 1 0.98 6.13 .0508 1 0.98 6.33 .0509 1 0.98 6.17 .0510 1 0.98 6.03 .0511 1 0.98 6.21 .0512 1 0.98 6.15 .0513 1 0.98 6.11 .0514 1 0.98 6.28 .0515 1 0.98 6.03 .0516 1 0.98 5.93 .0517 1 0.98 6.09 .0518 1 0.98 6.51 .0519 1 0.98 6.23 .0520 1 0.98 5.95 .0521 1 0.98 6.37 .0522 1 0.98 5.96 .0523 1 0.98 6.01 .0524 1 0.98 5.91 .0525 1 0.98 5.84 .0526 1 0.98 5.81 .0527 1 0.98 5.77 .0528 1 0.98 6.02 .0529 1 0.98 5.87 .0530 1 0.98 5.81 .0531 1 0.98 5.84 .0532 1 0.98 5.51 .0533 1 0.98 6.00 .0534 1 0.98 5.66 .0535 1 0.98 5.85 .0536 1 0.98 5.83 .0537 1 0.98 5.69 .0538 1 0.98 5.81 .0539 1 0.98 5.59 .0540 1 0.98 5.64 .0541 1 0.98 5.90 .0542 1 0.98 5.75 .0543 1 0.98 6.18 .0544 1 0.98 5.63 .0545 1 0.98 5.63 .0546 1 0.98 5.72 .0547 1 0.98 5.57 .0548 1 0.98 5.55 .0549 1 0.98 5.64 .0550 1 0.98 5.55 .0551 1 0.98 5.60 .0552 1 0.98 5.85 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1.00 2.41 .1941 1 1.00 2.30 .1942 1 1.00 2.21 .1943 1 1.00 2.36 .1944 1 1.00 2.22 .1945 1 1.00 2.36 .1946 2 1.00 2.24 .1947 1 1.00 2.26 .1948 1 1.00 2.29 .1949 2 1.00 2.27 .1950 1 1.00 2.28 .1951 1 1.00 2.25 .1952 1 1.00 2.29 .1953 2 1.00 2.16 .1954 1 1.00 2.26 .1955 1 1.00 2.33 .1956 1 1.00 2.14 .1957 2 1.00 2.45 .1958 1 1.00 2.48 .1959 1 1.00 2.27 .1960 1 1.00 2.19 .1961 1 1.00 2.22 .1962 1 1.00 2.25 .1963 1 1.00 2.34 .1964 1 1.00 2.37 .1965 2 1.00 2.25 .1966 1 1.00 2.19 .1967 1 1.00 2.17 .1968 1 1.00 2.28 .1969 1 1.00 2.11 .1970 1 1.00 2.25 .1971 1 1.00 2.27 .1972 1 1.00 2.31 .1973 1 1.00 2.29 .1974 1 1.00 2.15 .1975 1 1.00 2.21 .1976 1 1.00 2.23 .1977 1 1.00 2.32 .1978 1 1.00 2.15 .1979 1 1.00 2.27 .1980 1 1.00 2.29 .1981 1 1.00 2.21 .1982 1 1.01 2.16 .1983 1 1.01 2.35 .1984 1 1.01 2.31 .1985 1 1.01 2.19 .1986 1 1.01 2.20 .1987 2 1.01 2.45 .1988 1 1.01 2.27 .1989 1 1.01 2.29 .1990 1 1.01 2.35 .1991 1 1.01 2.44 .1992 1 1.01 2.31 .1993 1 1.01 2.27 .1994 1 1.01 2.33 .1995 1 1.01 2.29 .1996 1 1.01 2.07 .1997 2 1.01 2.24 .1998 2 1.01 2.27 .1999 1 1.01 2.17 .2000 1 1.01 2.20 .2001 1 1.01 2.25 .2002 1 1.01 2.20 .2003 1 1.01 2.19 .2004 1 1.01 2.13 .2005 1 1.01 2.23 .2006 1 1.01 2.26 .2007 1 1.01 2.35 .2008 1 1.01 2.10 .2009 1 1.01 2.06 .2010 1 1.01 2.05 .2011 1 1.01 2.21 .2012 1 1.01 2.12 .2013 1 1.01 2.32 .2014 2 1.01 2.08 .2015 2 1.01 2.00 .2016 1 1.01 1.99 .2017 1 1.01 1.96 .2018 1 1.01 2.08 .2019 1 1.01 2.06 .2020 1 1.01 2.06 .2021 2 1.01 1.92 .2022 1 1.01 2.13 .2023 1 1.01 1.90 .2024 1 1.01 2.14 .2025 1 1.01 1.98 .2026 1 1.01 1.95 .2027 1 1.01 2.04 .2028 1 1.01 1.96 .2029 1 1.01 1.94 .2030 1 1.01 1.95 .2031 1 1.01 1.95 .2032 1 1.01 1.81 .2033 1 1.01 1.93 .2034 1 1.01 1.92 .2035 1 1.01 2.07 .2036 1 1.01 1.95 .2037 1 1.01 1.90 .2038 1 1.01 1.93 .2039 1 1.01 1.90 .2040 1 1.01 1.99 .2041 1 1.01 2.02 .2042 1 1.01 2.09 .2043 1 1.01 1.96 .2044 1 1.01 1.91 .2045 1 1.01 1.79 .2046 1 1.01 1.99 .2047 1 1.01 1.96 EXTRACT_IMAGE: b1: masked 99 pixels SPCALIB: b1: First extraction chi^2 0.00000 11.7536 SPCALIB: b1: Second extraction chi^2 0.00000 7.39806 SUPERFLAT: b1: Creating superflat from 314 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b1: Number of fiberflat points LE 0 = 8304 SPCALIB: b1: Create fiberflats for flat # 2 of 2 SPCALIB: b1: Flat sdR-b1-00034756.fit paired with arc sdR-b1-00034757.fit SPCALIB: b1: Reading flat sdR-b1-00034756.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b1: Selecting op file opConfig-50000.par FINDOPFILE: b1: Selecting op file opBC-51813.par SDSSPROC: b1: Measured read-noise in DN for amp# 2 = 3.77900 SDSSPROC: b1: Measured bias value in DN for amp# 2 = 1221.40 SDSSPROC: b1: Applying gain for amp# 2 = 1.10000 SDSSPROC: b1: Amp #2 Number of pix below bias-5*sigma= 1202. DN is 0 SDSSPROC: b1: Measured read-noise in DN for amp# 3 = 3.10148 SDSSPROC: b1: Measured bias value in DN for amp# 3 = 1021.81 SDSSPROC: b1: Applying gain for amp# 3 = 1.05000 SDSSPROC: b1: Amp #3 Number of pix below bias-5*sigma= 1006. DN is 0 FINDOPFILE: b1: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: b1: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b1: Selecting op file pixflatave-53678-b1.fits SDSSPROC: b1: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 4 0.92 1.37 .0004 2 0.92 1.55 .0005 1 0.92 1.63 .0006 1 0.92 1.32 .0007 1 0.92 1.34 .0008 1 0.92 1.21 .0009 1 0.92 1.29 .0010 1 0.92 1.26 .0011 1 0.92 1.26 .0012 1 0.93 1.31 .0013 1 0.93 1.28 .0014 1 0.93 1.24 .0015 1 0.93 1.26 .0016 1 0.93 1.32 .0017 1 0.93 1.38 .0018 1 0.93 1.30 .0019 1 0.93 1.31 .0020 1 0.93 1.32 .0021 1 0.93 1.29 .0022 1 0.93 1.32 .0023 1 0.93 1.43 .0024 1 0.93 1.33 .0025 1 0.93 1.30 .0026 1 0.93 1.38 .0027 1 0.93 1.36 .0028 1 0.93 1.39 .0029 1 0.93 1.39 .0030 1 0.93 1.54 .0031 1 0.93 1.43 .0032 2 0.93 1.52 .0033 2 0.93 1.40 .0034 1 0.93 1.58 .0035 1 0.93 1.51 .0036 1 0.93 1.60 .0037 1 0.93 1.59 .0038 1 0.93 1.69 .0039 1 0.93 1.61 .0040 1 0.93 1.58 .0041 1 0.93 1.56 .0042 1 0.93 1.55 .0043 1 0.93 1.67 .0044 1 0.93 1.73 .0045 1 0.93 1.62 .0046 1 0.93 1.61 .0047 1 0.93 1.69 .0048 1 0.93 1.67 .0049 1 0.93 1.70 .0050 1 0.93 1.78 .0051 1 0.93 1.77 .0052 1 0.93 1.80 .0053 1 0.93 1.71 .0054 2 0.93 1.83 .0055 1 0.94 1.86 .0056 1 0.94 1.84 .0057 1 0.94 1.72 .0058 1 0.94 1.82 .0059 1 0.94 1.91 .0060 1 0.94 1.81 .0061 1 0.94 1.80 .0062 1 0.94 1.94 .0063 1 0.94 1.77 .0064 1 0.94 1.85 .0065 1 0.94 1.87 .0066 1 0.94 1.94 .0067 1 0.94 1.92 .0068 1 0.94 1.92 .0069 1 0.94 2.05 .0070 1 0.94 1.89 .0071 1 0.94 1.91 .0072 1 0.94 1.94 .0073 1 0.94 1.80 .0074 1 0.94 1.82 .0075 1 0.94 1.90 .0076 1 0.94 2.13 .0077 2 0.94 1.99 .0078 1 0.94 1.98 .0079 1 0.94 1.94 .0080 1 0.94 2.34 .0081 1 0.94 1.86 .0082 1 0.94 2.22 .0083 1 0.94 1.90 .0084 1 0.94 1.98 .0085 1 0.94 1.90 .0086 1 0.94 2.04 .0087 1 0.94 1.98 .0088 2 0.94 1.96 .0089 1 0.94 1.98 .0090 1 0.94 1.94 .0091 1 0.94 1.89 .0092 1 0.94 1.95 .0093 1 0.94 1.92 .0094 1 0.94 1.86 .0095 1 0.94 1.79 .0096 1 0.94 2.01 .0097 1 0.94 2.04 .0098 1 0.94 1.88 .0099 1 0.94 1.98 .0100 1 0.94 1.91 .0101 1 0.94 1.87 .0102 1 0.94 1.97 .0103 1 0.94 2.05 .0104 1 0.94 1.91 .0105 1 0.94 1.99 .0106 1 0.95 1.87 .0107 1 0.95 1.93 .0108 1 0.95 1.98 .0109 1 0.95 1.99 .0110 1 0.95 1.96 .0111 1 0.95 1.92 .0112 1 0.95 1.93 .0113 1 0.95 1.96 .0114 1 0.95 2.05 .0115 1 0.95 2.03 .0116 1 0.95 2.05 .0117 1 0.95 2.05 .0118 1 0.95 2.03 .0119 1 0.95 2.04 .0120 2 0.95 2.16 .0121 3 0.95 2.67 .0122 1 0.95 2.01 .0123 1 0.95 1.92 .0124 1 0.95 2.03 .0125 1 0.95 2.05 .0126 1 0.95 1.92 .0127 1 0.95 2.13 .0128 1 0.95 1.98 .0129 1 0.95 2.01 .0130 1 0.95 1.97 .0131 1 0.95 2.08 .0132 1 0.95 2.06 .0133 2 0.95 2.04 .0134 1 0.95 2.12 .0135 1 0.95 2.30 .0136 1 0.95 2.10 .0137 1 0.95 1.95 .0138 1 0.95 1.91 .0139 1 0.95 2.07 .0140 1 0.95 2.03 .0141 1 0.95 2.09 .0142 1 0.95 2.09 .0143 1 0.95 2.03 .0144 1 0.95 1.96 .0145 1 0.95 2.07 .0146 1 0.95 1.98 .0147 1 0.95 2.01 .0148 1 0.95 2.09 .0149 1 0.95 2.10 .0150 1 0.95 2.10 .0151 1 0.95 2.12 .0152 1 0.95 2.19 .0153 1 0.95 2.02 .0154 1 0.95 1.95 .0155 1 0.95 2.12 .0156 1 0.95 2.06 .0157 1 0.95 1.99 .0158 1 0.95 2.02 .0159 1 0.95 1.99 .0160 1 0.95 2.01 .0161 1 0.95 2.00 .0162 1 0.95 2.13 .0163 1 0.95 2.09 .0164 2 0.95 2.24 .0165 2 0.95 2.11 .0166 2 0.95 2.05 .0167 2 0.95 2.07 .0168 1 0.95 2.14 .0169 1 0.95 2.08 .0170 1 0.96 2.13 .0171 1 0.96 2.07 .0172 1 0.96 2.18 .0173 1 0.96 2.00 .0174 1 0.96 1.91 .0175 1 0.96 2.07 .0176 1 0.96 2.02 .0177 1 0.96 2.04 .0178 1 0.96 2.13 .0179 1 0.96 2.03 .0180 1 0.96 2.04 .0181 1 0.96 2.01 .0182 1 0.96 2.08 .0183 1 0.96 2.04 .0184 1 0.96 2.12 .0185 1 0.96 2.12 .0186 1 0.96 2.16 .0187 1 0.96 2.17 .0188 1 0.96 2.24 .0189 1 0.96 2.00 .0190 1 0.96 2.02 .0191 1 0.96 2.08 .0192 1 0.96 2.01 .0193 1 0.96 2.11 .0194 1 0.96 2.13 .0195 2 0.96 2.14 .0196 1 0.96 2.19 .0197 1 0.96 2.09 .0198 1 0.96 2.04 .0199 1 0.96 2.16 .0200 1 0.96 2.04 .0201 1 0.96 2.15 .0202 1 0.96 2.06 .0203 1 0.96 2.07 .0204 1 0.96 2.12 .0205 1 0.96 2.21 .0206 1 0.96 2.12 .0207 1 0.96 2.21 .0208 1 0.96 2.25 .0209 3 0.96 2.49 .0210 1 0.96 2.17 .0211 1 0.96 2.16 .0212 1 0.96 2.65 .0213 1 0.96 2.13 .0214 2 0.96 2.33 .0215 3 0.96 2.58 .0216 1 0.96 2.00 .0217 1 0.96 2.23 .0218 3 0.96 2.30 .0219 1 0.96 2.39 .0220 1 0.96 2.26 .0221 1 0.96 2.21 .0222 1 0.96 2.45 .0223 1 0.96 2.28 .0224 1 0.96 2.42 .0225 1 0.96 2.35 .0226 1 0.96 2.18 .0227 1 0.96 2.24 .0228 1 0.96 2.39 .0229 1 0.96 2.34 .0230 1 0.96 2.34 .0231 1 0.96 2.44 .0232 2 0.96 2.27 .0233 1 0.96 2.25 .0234 1 0.96 2.49 .0235 1 0.96 2.42 .0236 1 0.96 2.54 .0237 1 0.96 2.45 .0238 2 0.96 2.47 .0239 2 0.96 2.47 .0240 1 0.96 2.67 .0241 2 0.96 2.53 .0242 1 0.96 2.65 .0243 1 0.96 2.47 .0244 1 0.96 2.64 .0245 1 0.96 2.58 .0246 1 0.96 2.62 .0247 1 0.96 2.68 .0248 1 0.96 2.58 .0249 1 0.96 2.58 .0250 1 0.96 2.69 .0251 1 0.96 2.72 .0252 1 0.96 2.75 .0253 1 0.96 2.55 .0254 1 0.96 2.91 .0255 1 0.96 2.87 .0256 1 0.96 3.00 .0257 1 0.96 2.89 .0258 1 0.96 2.99 .0259 3 0.97 2.94 .0260 1 0.97 3.10 .0261 1 0.97 3.00 .0262 1 0.97 3.18 .0263 1 0.97 3.13 .0264 1 0.97 3.09 .0265 1 0.97 3.20 .0266 1 0.97 3.08 .0267 1 0.97 3.17 .0268 1 0.97 3.04 .0269 1 0.97 3.56 .0270 1 0.97 3.40 .0271 1 0.97 3.15 .0272 1 0.97 3.24 .0273 1 0.97 3.32 .0274 1 0.97 3.35 .0275 1 0.97 3.29 .0276 1 0.97 3.49 .0277 1 0.97 3.42 .0278 1 0.97 3.39 .0279 1 0.97 3.57 .0280 1 0.97 3.57 .0281 1 0.97 3.41 .0282 1 0.97 3.51 .0283 1 0.97 3.58 .0284 2 0.97 4.06 .0285 1 0.97 4.31 .0286 2 0.97 4.17 .0287 1 0.97 3.65 .0288 1 0.97 3.51 .0289 1 0.97 3.85 .0290 1 0.97 3.66 .0291 1 0.97 3.71 .0292 1 0.97 3.87 .0293 1 0.97 3.91 .0294 1 0.97 3.96 .0295 1 0.97 3.72 .0296 1 0.97 4.02 .0297 1 0.97 3.92 .0298 1 0.97 4.01 .0299 1 0.97 4.01 .0300 1 0.97 3.96 .0301 1 0.97 4.05 .0302 1 0.97 4.19 .0303 1 0.97 4.18 .0304 1 0.97 4.27 .0305 1 0.97 4.27 .0306 1 0.97 4.47 .0307 2 0.97 4.23 .0308 1 0.97 4.51 .0309 1 0.97 4.22 .0310 1 0.97 4.78 .0311 1 0.97 4.39 .0312 1 0.97 4.36 .0313 1 0.97 4.38 .0314 1 0.97 4.51 .0315 1 0.97 4.41 .0316 1 0.97 4.31 .0317 1 0.97 4.57 .0318 1 0.97 4.49 .0319 1 0.97 4.75 .0320 1 0.97 4.39 .0321 1 0.97 4.48 .0322 1 0.97 4.80 .0323 2 0.97 4.82 .0324 1 0.97 4.61 .0325 1 0.97 4.75 .0326 1 0.97 4.67 .0327 1 0.97 4.72 .0328 1 0.97 4.80 .0329 1 0.97 5.17 .0330 1 0.97 4.89 .0331 1 0.97 4.88 .0332 1 0.97 5.16 .0333 2 0.97 4.95 .0334 2 0.97 4.94 .0335 1 0.97 4.91 .0336 1 0.97 4.83 .0337 1 0.97 5.03 .0338 1 0.97 5.08 .0339 1 0.97 5.12 .0340 1 0.97 5.32 .0341 1 0.97 5.10 .0342 1 0.97 5.30 .0343 1 0.97 5.21 .0344 1 0.97 5.05 .0345 1 0.97 5.39 .0346 1 0.97 5.40 .0347 1 0.97 5.44 .0348 1 0.97 5.27 .0349 1 0.97 5.23 .0350 1 0.97 5.62 .0351 1 0.97 5.44 .0352 1 0.97 5.35 .0353 1 0.97 5.43 .0354 1 0.97 5.42 .0355 2 0.97 5.48 .0356 2 0.97 5.65 .0357 1 0.97 5.71 .0358 1 0.97 5.53 .0359 1 0.97 5.57 .0360 1 0.97 5.60 .0361 1 0.97 5.83 .0362 1 0.97 5.99 .0363 1 0.97 5.69 .0364 1 0.97 6.11 .0365 1 0.97 5.92 .0366 1 0.97 5.87 .0367 1 0.97 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.1977 1 0.99 3.28 .1978 1 0.99 3.34 .1979 1 0.99 3.21 .1980 1 0.99 3.36 .1981 1 0.99 3.37 .1982 1 0.99 3.39 .1983 1 0.99 3.35 .1984 1 0.99 3.36 .1985 1 0.99 3.18 .1986 1 0.99 3.08 .1987 1 0.99 3.18 .1988 1 0.99 3.18 .1989 1 0.99 3.13 .1990 1 0.99 3.29 .1991 1 0.99 3.21 .1992 1 0.99 3.30 .1993 1 0.99 3.31 .1994 1 0.99 3.15 .1995 1 0.99 3.02 .1996 1 0.99 3.26 .1997 1 0.99 3.04 .1998 1 0.99 3.14 .1999 1 0.99 3.30 .2000 2 1.00 3.20 .2001 1 1.00 3.11 .2002 1 1.00 3.05 .2003 1 1.00 3.02 .2004 1 1.00 3.04 .2005 1 1.00 3.08 .2006 1 1.00 3.09 .2007 1 1.00 3.06 .2008 1 1.00 3.01 .2009 1 1.00 2.94 .2010 1 1.00 3.00 .2011 1 1.00 3.07 .2012 1 1.00 3.10 .2013 2 1.00 2.94 .2014 1 1.00 2.92 .2015 1 1.00 3.22 .2016 1 1.00 2.75 .2017 1 1.00 2.83 .2018 1 1.00 2.80 .2019 1 1.00 2.95 .2020 1 1.00 2.86 .2021 1 1.00 2.85 .2022 3 1.00 3.37 .2023 2 1.00 3.52 .2024 3 1.00 2.79 .2025 1 1.00 2.76 .2026 1 1.00 2.72 .2027 1 1.00 2.85 .2028 1 1.00 2.73 .2029 1 1.00 2.75 .2030 1 1.00 3.15 .2031 1 1.00 2.77 .2032 1 1.00 2.74 .2033 1 1.00 2.77 .2034 1 1.00 2.61 .2035 1 1.00 2.71 .2036 1 1.00 2.68 .2037 1 1.00 2.70 .2038 1 1.00 2.76 .2039 1 1.00 2.86 .2040 1 1.00 2.89 .2041 1 1.00 2.72 .2042 1 1.00 2.67 .2043 1 1.00 2.58 .2044 1 1.00 2.65 .2045 1 1.00 2.75 .2046 1 1.00 2.76 .2047 2 1.00 2.64 EXTRACT_IMAGE: b1: masked 121 pixels DOSCATTER: b1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b1: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b1: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 64 0.02 0.11 Step 10 of 2080 0.61 64 0.03 0.12 Step 14 of 2080 0.61 64 0.03 0.12 Step 18 of 2080 0.61 64 0.03 0.11 Step 22 of 2080 0.61 64 0.03 0.12 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.02 0.12 Step 34 of 2080 0.61 64 0.03 0.12 Step 38 of 2080 0.61 64 0.03 0.12 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.02 0.12 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.03 0.12 Step 58 of 2080 0.61 64 0.03 0.12 Step 62 of 2080 0.61 64 0.03 0.12 Step 66 of 2080 0.61 64 0.03 0.13 Step 70 of 2080 0.61 64 0.03 0.12 Step 74 of 2080 0.61 64 0.03 0.12 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.02 0.11 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.60 64 0.02 0.11 Step 94 of 2080 0.60 64 0.03 0.11 Step 98 of 2080 0.60 64 0.03 0.11 Step 102 of 2080 0.60 64 0.03 0.11 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.11 Step 114 of 2080 0.60 64 0.03 0.12 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.03 0.11 Step 130 of 2080 0.60 64 0.03 0.12 Step 134 of 2080 0.60 64 0.03 0.12 Step 138 of 2080 0.60 64 0.03 0.11 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.03 0.11 Step 150 of 2080 0.60 64 0.03 0.11 Step 154 of 2080 0.60 64 0.02 0.11 Step 158 of 2080 0.60 64 0.03 0.11 Step 162 of 2080 0.60 64 0.02 0.11 Step 166 of 2080 0.60 64 0.02 0.11 Step 170 of 2080 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Step 514 of 2080 0.55 64 0.03 0.11 Step 518 of 2080 0.55 64 0.02 0.11 Step 522 of 2080 0.55 64 0.02 0.11 Step 526 of 2080 0.55 64 0.03 0.11 Step 530 of 2080 0.55 64 0.03 0.11 Step 534 of 2080 0.55 64 0.03 0.12 Step 538 of 2080 0.55 64 0.03 0.11 Step 542 of 2080 0.55 64 0.03 0.12 Step 546 of 2080 0.55 64 0.03 0.11 Step 550 of 2080 0.55 64 0.03 0.13 Step 554 of 2080 0.55 64 0.03 0.12 Step 558 of 2080 0.55 64 0.02 0.11 Step 562 of 2080 0.55 64 0.02 0.11 Step 566 of 2080 0.55 64 0.03 0.11 Step 570 of 2080 0.55 64 0.03 0.11 Step 574 of 2080 0.54 64 0.03 0.12 Step 578 of 2080 0.54 64 0.02 0.11 Step 582 of 2080 0.54 64 0.02 0.11 Step 586 of 2080 0.54 64 0.03 0.11 Step 590 of 2080 0.54 64 0.02 0.12 Step 594 of 2080 0.54 64 0.03 0.11 Step 598 of 2080 0.54 64 0.03 0.12 Step 602 of 2080 0.54 64 0.03 0.12 Step 606 of 2080 0.54 64 0.03 0.12 Step 610 of 2080 0.54 64 0.03 0.11 Step 614 of 2080 0.54 64 0.03 0.11 Step 618 of 2080 0.54 64 0.02 0.11 Step 622 of 2080 0.54 64 0.03 0.11 Step 626 of 2080 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Step 742 of 2080 0.52 64 0.02 0.11 Step 746 of 2080 0.52 64 0.03 0.12 Step 750 of 2080 0.52 64 0.03 0.12 Step 754 of 2080 0.52 64 0.03 0.12 Step 758 of 2080 0.52 64 0.03 0.12 Step 762 of 2080 0.52 64 0.03 0.12 Step 766 of 2080 0.52 64 0.02 0.12 Step 770 of 2080 0.52 64 0.02 0.11 Step 774 of 2080 0.52 64 0.03 0.12 Step 778 of 2080 0.52 64 0.02 0.11 Step 782 of 2080 0.52 64 0.03 0.12 Step 786 of 2080 0.52 64 0.02 0.12 Step 790 of 2080 0.52 64 0.03 0.11 Step 794 of 2080 0.52 64 0.02 0.11 Step 798 of 2080 0.52 64 0.03 0.11 Step 802 of 2080 0.52 64 0.03 0.12 Step 806 of 2080 0.52 64 0.02 0.11 Step 810 of 2080 0.52 64 0.02 0.11 Step 814 of 2080 0.52 64 0.03 0.12 Step 818 of 2080 0.52 64 0.02 0.12 Step 822 of 2080 0.52 64 0.03 0.12 Step 826 of 2080 0.51 64 0.02 0.12 Step 830 of 2080 0.51 64 0.02 0.11 Step 834 of 2080 0.51 64 0.03 0.12 Step 838 of 2080 0.51 64 0.03 0.12 Step 842 of 2080 0.51 64 0.03 0.12 Step 846 of 2080 0.51 64 0.02 0.11 Step 850 of 2080 0.51 64 0.02 0.12 Step 854 of 2080 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Step 970 of 2080 0.50 64 0.03 0.11 Step 974 of 2080 0.50 64 0.04 0.12 Step 978 of 2080 0.50 64 0.03 0.12 Step 982 of 2080 0.50 64 0.03 0.12 Step 986 of 2080 0.50 64 0.03 0.12 Step 990 of 2080 0.50 64 0.03 0.11 Step 994 of 2080 0.49 64 0.04 0.12 Step 998 of 2080 0.49 64 0.03 0.12 Step 1002 of 2080 0.49 64 0.03 0.12 Step 1006 of 2080 0.49 64 0.03 0.12 Step 1010 of 2080 0.49 64 0.04 0.13 Step 1014 of 2080 0.49 64 0.03 0.12 Step 1018 of 2080 0.49 64 0.03 0.11 Step 1022 of 2080 0.49 64 0.03 0.12 Step 1026 of 2080 0.49 64 0.03 0.11 Step 1030 of 2080 0.49 64 0.04 0.13 Step 1034 of 2080 0.49 64 0.03 0.12 Step 1038 of 2080 0.49 64 0.03 0.12 Step 1042 of 2080 0.49 64 0.03 0.13 Step 1046 of 2080 0.49 64 0.03 0.13 Step 1050 of 2080 0.49 64 0.03 0.12 Step 1054 of 2080 0.49 64 0.03 0.12 Step 1058 of 2080 0.49 64 0.03 0.12 Step 1062 of 2080 0.49 64 0.03 0.12 Step 1066 of 2080 0.49 64 0.03 0.11 Step 1070 of 2080 0.49 64 0.03 0.12 Step 1074 of 2080 0.49 64 0.03 0.12 Step 1078 of 2080 0.49 64 0.03 0.11 Step 1082 of 2080 0.48 64 0.03 0.11 Step 1086 of 2080 0.48 64 0.03 0.11 Step 1090 of 2080 0.48 64 0.03 0.12 Step 1094 of 2080 0.48 64 0.03 0.12 Step 1098 of 2080 0.48 64 0.03 0.11 Step 1102 of 2080 0.48 64 0.03 0.11 Step 1106 of 2080 0.48 64 0.03 0.11 Step 1110 of 2080 0.48 64 0.03 0.11 Step 1114 of 2080 0.48 64 0.03 0.11 Step 1118 of 2080 0.48 64 0.03 0.11 Step 1122 of 2080 0.48 64 0.03 0.11 Step 1126 of 2080 0.48 64 0.03 0.12 Step 1130 of 2080 0.48 64 0.03 0.11 Step 1134 of 2080 0.48 64 0.03 0.12 Step 1138 of 2080 0.48 64 0.03 0.11 Step 1142 of 2080 0.48 64 0.03 0.12 Step 1146 of 2080 0.48 64 0.03 0.12 Step 1150 of 2080 0.48 64 0.03 0.12 Step 1154 of 2080 0.48 64 0.03 0.12 Step 1158 of 2080 0.48 64 0.03 0.12 Step 1162 of 2080 0.48 64 0.04 0.13 Step 1166 of 2080 0.47 64 0.03 0.11 Step 1170 of 2080 0.47 64 0.03 0.13 Step 1174 of 2080 0.47 64 0.03 0.12 Step 1178 of 2080 0.47 64 0.03 0.12 Step 1182 of 2080 0.47 64 0.03 0.12 Step 1186 of 2080 0.47 64 0.03 0.12 Step 1190 of 2080 0.47 64 0.02 0.11 Step 1194 of 2080 0.47 64 0.02 0.11 Step 1198 of 2080 0.47 64 0.03 0.12 Step 1202 of 2080 0.47 64 0.03 0.12 Step 1206 of 2080 0.47 64 0.04 0.13 Step 1210 of 2080 0.47 64 0.04 0.12 Step 1214 of 2080 0.47 64 0.03 0.12 Step 1218 of 2080 0.47 64 0.03 0.12 Step 1222 of 2080 0.47 64 0.03 0.12 Step 1226 of 2080 0.47 64 0.04 0.12 Step 1230 of 2080 0.47 64 0.03 0.12 Step 1234 of 2080 0.47 64 0.03 0.12 Step 1238 of 2080 0.47 64 0.04 0.12 Step 1242 of 2080 0.47 64 0.04 0.13 Step 1246 of 2080 0.47 64 0.03 0.12 Step 1250 of 2080 0.47 64 0.03 0.12 Step 1254 of 2080 0.46 64 0.03 0.11 Step 1258 of 2080 0.46 64 0.03 0.12 Step 1262 of 2080 0.46 64 0.03 0.11 Step 1266 of 2080 0.46 64 0.03 0.12 Step 1270 of 2080 0.46 64 0.03 0.12 Step 1274 of 2080 0.46 64 0.03 0.12 Step 1278 of 2080 0.46 64 0.03 0.11 Step 1282 of 2080 0.46 64 0.03 0.12 Step 1286 of 2080 0.46 64 0.03 0.11 Step 1290 of 2080 0.46 64 0.03 0.11 Step 1294 of 2080 0.46 64 0.03 0.12 Step 1298 of 2080 0.46 64 0.03 0.11 Step 1302 of 2080 0.46 64 0.03 0.12 Step 1306 of 2080 0.46 64 0.03 0.12 Step 1310 of 2080 0.46 64 0.03 0.12 Step 1314 of 2080 0.46 64 0.03 0.12 Step 1318 of 2080 0.46 64 0.03 0.13 Step 1322 of 2080 0.46 64 0.04 0.13 Step 1326 of 2080 0.46 64 0.03 0.12 Step 1330 of 2080 0.46 64 0.03 0.11 Step 1334 of 2080 0.46 64 0.03 0.12 Step 1338 of 2080 0.46 64 0.03 0.12 Step 1342 of 2080 0.45 64 0.03 0.12 Step 1346 of 2080 0.45 64 0.03 0.11 Step 1350 of 2080 0.45 64 0.03 0.13 Step 1354 of 2080 0.45 64 0.03 0.12 Step 1358 of 2080 0.45 64 0.03 0.13 Step 1362 of 2080 0.45 64 0.03 0.12 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.03 0.11 Step 1374 of 2080 0.45 64 0.03 0.12 Step 1378 of 2080 0.45 64 0.03 0.12 Step 1382 of 2080 0.45 64 0.04 0.13 Step 1386 of 2080 0.45 64 0.03 0.12 Step 1390 of 2080 0.45 64 0.03 0.12 Step 1394 of 2080 0.45 64 0.03 0.11 Step 1398 of 2080 0.45 64 0.03 0.11 Step 1402 of 2080 0.45 64 0.03 0.11 Step 1406 of 2080 0.45 64 0.03 0.11 Step 1410 of 2080 0.45 64 0.03 0.11 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.03 0.11 Step 1422 of 2080 0.45 64 0.03 0.12 Step 1426 of 2080 0.45 64 0.03 0.12 Step 1430 of 2080 0.45 64 0.03 0.11 Step 1434 of 2080 0.44 64 0.04 0.12 Step 1438 of 2080 0.44 64 0.04 0.13 Step 1442 of 2080 0.44 64 0.04 0.12 Step 1446 of 2080 0.44 64 0.03 0.13 Step 1450 of 2080 0.44 64 0.03 0.12 Step 1454 of 2080 0.44 64 0.04 0.12 Step 1458 of 2080 0.44 64 0.04 0.12 Step 1462 of 2080 0.44 64 0.04 0.12 Step 1466 of 2080 0.44 64 0.04 0.13 Step 1470 of 2080 0.44 64 0.03 0.12 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.03 0.12 Step 1482 of 2080 0.44 64 0.04 0.12 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 0.44 64 0.04 0.12 Step 1494 of 2080 0.44 64 0.04 0.12 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.03 0.12 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.03 0.12 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.03 0.12 Step 1522 of 2080 0.44 64 0.04 0.12 Step 1526 of 2080 0.43 64 0.04 0.12 Step 1530 of 2080 0.43 64 0.04 0.12 Step 1534 of 2080 0.43 64 0.04 0.12 Step 1538 of 2080 0.43 64 0.04 0.11 Step 1542 of 2080 0.43 64 0.04 0.12 Step 1546 of 2080 0.43 64 0.04 0.12 Step 1550 of 2080 0.43 64 0.04 0.12 Step 1554 of 2080 0.43 64 0.04 0.12 Step 1558 of 2080 0.43 64 0.04 0.12 Step 1562 of 2080 0.43 64 0.03 0.12 Step 1566 of 2080 0.43 64 0.04 0.13 Step 1570 of 2080 0.43 64 0.04 0.12 Step 1574 of 2080 0.43 64 0.04 0.13 Step 1578 of 2080 0.43 64 0.04 0.13 Step 1582 of 2080 0.43 64 0.04 0.12 Step 1586 of 2080 0.43 64 0.03 0.12 Step 1590 of 2080 0.43 64 0.03 0.13 Step 1594 of 2080 0.43 64 0.03 0.12 Step 1598 of 2080 0.43 64 0.03 0.13 Step 1602 of 2080 0.43 64 0.03 0.13 Step 1606 of 2080 0.43 64 0.03 0.12 Step 1610 of 2080 0.43 64 0.04 0.12 Step 1614 of 2080 0.43 64 0.03 0.12 Step 1618 of 2080 0.42 64 0.04 0.12 Step 1622 of 2080 0.42 64 0.03 0.12 Step 1626 of 2080 0.42 64 0.03 0.11 Step 1630 of 2080 0.42 64 0.03 0.11 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.03 0.12 Step 1642 of 2080 0.42 64 0.03 0.12 Step 1646 of 2080 0.42 64 0.04 0.13 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.11 Step 1658 of 2080 0.42 64 0.04 0.13 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.11 Step 1670 of 2080 0.42 64 0.03 0.11 Step 1674 of 2080 0.42 64 0.03 0.11 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.02 0.11 Step 1686 of 2080 0.42 64 0.02 0.11 Step 1690 of 2080 0.42 64 0.02 0.11 Step 1694 of 2080 0.42 64 0.02 0.11 Step 1698 of 2080 0.42 64 0.02 0.11 Step 1702 of 2080 0.42 64 0.02 0.11 Step 1706 of 2080 0.42 64 0.02 0.11 Step 1710 of 2080 0.42 64 0.03 0.12 Step 1714 of 2080 0.41 64 0.02 0.11 Step 1718 of 2080 0.41 64 0.02 0.11 Step 1722 of 2080 0.41 64 0.03 0.12 Step 1726 of 2080 0.41 64 0.02 0.11 Step 1730 of 2080 0.41 64 0.02 0.11 Step 1734 of 2080 0.41 64 0.03 0.11 Step 1738 of 2080 0.41 64 0.02 0.11 Step 1742 of 2080 0.41 64 0.02 0.11 Step 1746 of 2080 0.41 64 0.02 0.11 Step 1750 of 2080 0.41 64 0.02 0.11 Step 1754 of 2080 0.41 64 0.02 0.11 Step 1758 of 2080 0.41 64 0.02 0.11 Step 1762 of 2080 0.41 64 0.02 0.11 Step 1766 of 2080 0.41 64 0.02 0.10 Step 1770 of 2080 0.41 64 0.02 0.10 Step 1774 of 2080 0.41 64 0.03 0.11 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.03 0.11 Step 1786 of 2080 0.41 64 0.04 0.13 Step 1790 of 2080 0.41 64 0.02 0.12 Step 1794 of 2080 0.41 64 0.03 0.11 Step 1798 of 2080 0.41 64 0.03 0.11 Step 1802 of 2080 0.41 64 0.02 0.12 Step 1806 of 2080 0.41 64 0.02 0.12 Step 1810 of 2080 0.40 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.03 0.11 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.11 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.03 0.11 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.11 Step 1846 of 2080 0.40 64 0.03 0.11 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.02 0.11 Step 1858 of 2080 0.40 64 0.03 0.11 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.11 Step 1874 of 2080 0.40 64 0.02 0.11 Step 1878 of 2080 0.40 64 0.03 0.11 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.03 0.13 Step 1890 of 2080 0.40 64 0.03 0.13 Step 1894 of 2080 0.40 64 0.03 0.12 Step 1898 of 2080 0.40 64 0.03 0.11 Step 1902 of 2080 0.40 64 0.03 0.11 Step 1906 of 2080 0.39 64 0.03 0.11 Step 1910 of 2080 0.39 64 0.03 0.11 Step 1914 of 2080 0.39 64 0.04 0.12 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.03 0.11 Step 1938 of 2080 0.39 64 0.02 0.11 Step 1942 of 2080 0.39 64 0.02 0.11 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.13 Step 1954 of 2080 0.39 64 0.02 0.11 Step 1958 of 2080 0.39 64 0.03 0.11 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.04 0.13 Step 1978 of 2080 0.39 64 0.04 0.13 Step 1982 of 2080 0.39 64 0.04 0.13 Step 1986 of 2080 0.39 64 0.04 0.13 Step 1990 of 2080 0.39 64 0.04 0.12 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.03 0.12 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.38 64 0.04 0.12 Step 2010 of 2080 0.38 64 0.03 0.11 Step 2014 of 2080 0.38 64 0.03 0.11 Step 2018 of 2080 0.38 64 0.04 0.12 Step 2022 of 2080 0.38 64 0.04 0.13 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.04 0.13 Step 2034 of 2080 0.38 64 0.03 0.13 Step 2038 of 2080 0.38 64 0.03 0.11 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 32 0.01 0.05 Step 2050 of 2080 0.38 32 0.02 0.06 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.02 0.06 Step 2074 of 2080 0.38 32 0.02 0.06 Step 2078 of 2080 0.38 32 0.02 0.06 ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 4 0.92 1.29 .0004 2 0.92 1.47 .0005 2 0.92 1.35 .0006 1 0.92 1.23 .0007 1 0.92 1.23 .0008 1 0.92 1.12 .0009 1 0.92 1.19 .0010 1 0.92 1.15 .0011 1 0.92 1.17 .0012 1 0.93 1.21 .0013 1 0.93 1.16 .0014 1 0.93 1.14 .0015 1 0.93 1.14 .0016 1 0.93 1.20 .0017 1 0.93 1.27 .0018 1 0.93 1.19 .0019 1 0.93 1.21 .0020 1 0.93 1.20 .0021 1 0.93 1.17 .0022 1 0.93 1.20 .0023 1 0.93 1.25 .0024 1 0.93 1.21 .0025 1 0.93 1.21 .0026 1 0.93 1.24 .0027 1 0.93 1.22 .0028 1 0.93 1.25 .0029 1 0.93 1.23 .0030 1 0.93 1.41 .0031 1 0.93 1.32 .0032 2 0.93 1.34 .0033 2 0.93 1.28 .0034 1 0.93 1.39 .0035 1 0.93 1.37 .0036 1 0.93 1.44 .0037 1 0.93 1.47 .0038 1 0.93 1.51 .0039 1 0.93 1.46 .0040 1 0.93 1.42 .0041 1 0.93 1.44 .0042 1 0.93 1.43 .0043 1 0.93 1.49 .0044 1 0.93 1.51 .0045 1 0.93 1.45 .0046 1 0.93 1.42 .0047 1 0.93 1.54 .0048 1 0.93 1.51 .0049 1 0.93 1.54 .0050 1 0.93 1.59 .0051 1 0.93 1.61 .0052 1 0.93 1.63 .0053 1 0.93 1.52 .0054 2 0.93 1.66 .0055 1 0.94 1.65 .0056 1 0.94 1.65 .0057 1 0.94 1.54 .0058 1 0.94 1.63 .0059 1 0.94 1.76 .0060 1 0.94 1.62 .0061 1 0.94 1.63 .0062 1 0.94 1.73 .0063 1 0.94 1.62 .0064 1 0.94 1.66 .0065 1 0.94 1.65 .0066 1 0.94 1.76 .0067 1 0.94 1.72 .0068 1 0.94 1.71 .0069 1 0.94 1.81 .0070 1 0.94 1.69 .0071 1 0.94 1.69 .0072 1 0.94 1.76 .0073 1 0.94 1.62 .0074 1 0.94 1.60 .0075 1 0.94 1.65 .0076 1 0.94 1.90 .0077 2 0.94 1.76 .0078 1 0.94 1.78 .0079 1 0.94 1.72 .0080 2 0.94 1.71 .0081 1 0.94 1.66 .0082 1 0.94 2.01 .0083 1 0.94 1.72 .0084 1 0.94 1.77 .0085 1 0.94 1.66 .0086 1 0.94 1.83 .0087 1 0.94 1.80 .0088 2 0.94 1.75 .0089 1 0.94 1.75 .0090 1 0.94 1.73 .0091 1 0.94 1.70 .0092 1 0.94 1.75 .0093 1 0.94 1.73 .0094 1 0.94 1.66 .0095 1 0.94 1.60 .0096 1 0.94 1.82 .0097 1 0.94 1.81 .0098 1 0.94 1.66 .0099 1 0.94 1.78 .0100 1 0.94 1.68 .0101 1 0.94 1.67 .0102 1 0.94 1.76 .0103 1 0.94 1.79 .0104 1 0.94 1.69 .0105 1 0.94 1.75 .0106 1 0.95 1.66 .0107 1 0.95 1.70 .0108 1 0.95 1.70 .0109 1 0.95 1.74 .0110 1 0.95 1.78 .0111 1 0.95 1.69 .0112 1 0.95 1.69 .0113 1 0.95 1.76 .0114 1 0.95 1.84 .0115 1 0.95 1.82 .0116 1 0.95 1.84 .0117 1 0.95 1.82 .0118 1 0.95 1.79 .0119 1 0.95 1.85 .0120 2 0.95 1.95 .0121 3 0.95 2.49 .0122 1 0.95 1.76 .0123 1 0.95 1.67 .0124 1 0.95 1.80 .0125 1 0.95 1.79 .0126 1 0.95 1.73 .0127 1 0.95 1.90 .0128 1 0.95 1.75 .0129 1 0.95 1.79 .0130 1 0.95 1.71 .0131 1 0.95 1.80 .0132 1 0.95 1.77 .0133 2 0.95 1.79 .0134 1 0.95 1.84 .0135 1 0.95 1.98 .0136 1 0.95 1.82 .0137 1 0.95 1.73 .0138 1 0.95 1.65 .0139 1 0.95 1.80 .0140 1 0.95 1.76 .0141 1 0.95 1.81 .0142 1 0.95 1.80 .0143 1 0.95 1.79 .0144 1 0.95 1.72 .0145 1 0.95 1.76 .0146 1 0.95 1.69 .0147 1 0.95 1.73 .0148 1 0.95 1.80 .0149 1 0.95 1.80 .0150 1 0.95 1.80 .0151 1 0.95 1.83 .0152 1 0.95 1.84 .0153 1 0.95 1.75 .0154 1 0.95 1.65 .0155 1 0.95 1.86 .0156 1 0.95 1.73 .0157 1 0.95 1.71 .0158 1 0.95 1.75 .0159 1 0.95 1.66 .0160 1 0.95 1.71 .0161 1 0.95 1.71 .0162 1 0.95 1.79 .0163 1 0.95 1.80 .0164 2 0.95 1.93 .0165 2 0.95 1.77 .0166 2 0.95 1.76 .0167 2 0.95 1.75 .0168 1 0.95 1.83 .0169 1 0.95 1.80 .0170 1 0.96 1.85 .0171 1 0.96 1.76 .0172 1 0.96 1.80 .0173 1 0.96 1.74 .0174 1 0.96 1.65 .0175 1 0.96 1.78 .0176 1 0.96 1.74 .0177 1 0.96 1.75 .0178 1 0.96 1.81 .0179 1 0.96 1.72 .0180 1 0.96 1.68 .0181 1 0.96 1.72 .0182 1 0.96 1.76 .0183 1 0.96 1.77 .0184 1 0.96 1.76 .0185 1 0.96 1.82 .0186 1 0.96 1.81 .0187 1 0.96 1.89 .0188 1 0.96 1.89 .0189 1 0.96 1.67 .0190 1 0.96 1.74 .0191 1 0.96 1.81 .0192 1 0.96 1.71 .0193 1 0.96 1.81 .0194 1 0.96 1.84 .0195 2 0.96 1.85 .0196 1 0.96 1.91 .0197 1 0.96 1.76 .0198 1 0.96 1.74 .0199 1 0.96 1.88 .0200 1 0.96 1.72 .0201 1 0.96 1.86 .0202 1 0.96 1.76 .0203 1 0.96 1.78 .0204 1 0.96 1.77 .0205 1 0.96 1.91 .0206 1 0.96 1.82 .0207 1 0.96 1.90 .0208 1 0.96 1.91 .0209 4 0.96 1.92 .0210 1 0.96 1.86 .0211 1 0.96 1.89 .0212 1 0.96 2.32 .0213 1 0.96 1.84 .0214 2 0.96 1.99 .0215 3 0.96 2.22 .0216 1 0.96 1.73 .0217 1 0.96 1.96 .0218 3 0.96 2.01 .0219 1 0.96 2.06 .0220 1 0.96 1.95 .0221 1 0.96 1.88 .0222 1 0.96 2.11 .0223 1 0.96 1.90 .0224 1 0.96 2.07 .0225 1 0.96 1.97 .0226 1 0.96 1.87 .0227 1 0.96 1.87 .0228 1 0.96 2.03 .0229 1 0.96 1.95 .0230 1 0.96 1.96 .0231 1 0.96 2.07 .0232 2 0.96 1.94 .0233 1 0.96 1.89 .0234 1 0.96 2.08 .0235 1 0.96 1.99 .0236 1 0.96 2.11 .0237 1 0.96 2.09 .0238 2 0.96 2.15 .0239 2 0.96 2.09 .0240 1 0.96 2.22 .0241 2 0.96 2.15 .0242 1 0.96 2.18 .0243 1 0.96 2.07 .0244 1 0.96 2.17 .0245 1 0.96 2.18 .0246 1 0.96 2.20 .0247 1 0.96 2.21 .0248 1 0.96 2.16 .0249 1 0.96 2.24 .0250 1 0.96 2.23 .0251 1 0.96 2.26 .0252 1 0.96 2.28 .0253 1 0.96 2.15 .0254 1 0.96 2.44 .0255 1 0.96 2.34 .0256 1 0.96 2.49 .0257 1 0.96 2.41 .0258 1 0.96 2.49 .0259 3 0.97 2.44 .0260 1 0.97 2.53 .0261 1 0.97 2.52 .0262 1 0.97 2.61 .0263 1 0.97 2.60 .0264 1 0.97 2.53 .0265 1 0.97 2.69 .0266 1 0.97 2.56 .0267 1 0.97 2.59 .0268 1 0.97 2.55 .0269 2 0.97 2.57 .0270 1 0.97 2.86 .0271 1 0.97 2.62 .0272 1 0.97 2.70 .0273 1 0.97 2.78 .0274 1 0.97 2.80 .0275 1 0.97 2.74 .0276 1 0.97 2.91 .0277 1 0.97 2.85 .0278 1 0.97 2.82 .0279 1 0.97 2.93 .0280 1 0.97 2.92 .0281 1 0.97 2.81 .0282 1 0.97 2.86 .0283 1 0.97 2.95 .0284 2 0.97 3.35 .0285 2 0.97 3.16 .0286 3 0.97 3.07 .0287 1 0.97 2.97 .0288 1 0.97 2.84 .0289 1 0.97 3.16 .0290 1 0.97 3.00 .0291 1 0.97 3.04 .0292 1 0.97 3.12 .0293 1 0.97 3.11 .0294 1 0.97 3.23 .0295 1 0.97 3.00 .0296 1 0.97 3.24 .0297 1 0.97 3.22 .0298 1 0.97 3.21 .0299 1 0.97 3.33 .0300 1 0.97 3.24 .0301 1 0.97 3.26 .0302 1 0.97 3.36 .0303 1 0.97 3.37 .0304 1 0.97 3.47 .0305 1 0.97 3.45 .0306 1 0.97 3.71 .0307 2 0.97 3.47 .0308 1 0.97 3.66 .0309 1 0.97 3.36 .0310 1 0.97 3.93 .0311 1 0.97 3.53 .0312 1 0.97 3.51 .0313 1 0.97 3.45 .0314 1 0.97 3.60 .0315 1 0.97 3.54 .0316 1 0.97 3.43 .0317 1 0.97 3.63 .0318 1 0.97 3.55 .0319 1 0.97 3.77 .0320 1 0.97 3.55 .0321 1 0.97 3.51 .0322 1 0.97 3.78 .0323 2 0.97 3.81 .0324 1 0.97 3.58 .0325 1 0.97 3.72 .0326 1 0.97 3.73 .0327 1 0.97 3.64 .0328 1 0.97 3.73 .0329 1 0.97 4.07 .0330 1 0.97 3.80 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.1663 1 0.99 3.45 .1664 1 0.99 3.46 .1665 1 0.99 3.49 .1666 1 0.99 3.44 .1667 1 0.99 3.23 .1668 1 0.99 3.41 .1669 1 0.99 3.43 .1670 1 0.99 3.56 .1671 1 0.99 3.40 .1672 1 0.99 3.34 .1673 1 0.99 3.48 .1674 1 0.99 3.60 .1675 1 0.99 3.48 .1676 1 0.99 3.37 .1677 2 0.99 3.87 .1678 3 0.99 3.41 .1679 2 0.99 4.00 .1680 1 0.99 3.53 .1681 1 0.99 3.41 .1682 1 0.99 3.47 .1683 1 0.99 3.46 .1684 1 0.99 3.33 .1685 1 0.99 3.31 .1686 1 0.99 3.34 .1687 1 0.99 3.25 .1688 1 0.99 3.55 .1689 1 0.99 3.41 .1690 1 0.99 3.31 .1691 1 0.99 3.18 .1692 2 0.99 3.27 .1693 1 0.99 3.36 .1694 1 0.99 3.21 .1695 1 0.99 3.12 .1696 1 0.99 3.09 .1697 1 0.99 3.30 .1698 1 0.99 3.61 .1699 1 0.99 3.31 .1700 1 0.99 3.22 .1701 1 0.99 3.13 .1702 1 0.99 3.20 .1703 1 0.99 3.36 .1704 1 0.99 3.15 .1705 2 0.99 3.19 .1706 2 0.99 3.37 .1707 1 0.99 3.12 .1708 1 0.99 3.12 .1709 1 0.99 3.17 .1710 1 0.99 3.52 .1711 1 0.99 3.10 .1712 1 0.99 3.07 .1713 1 0.99 3.14 .1714 1 0.99 3.11 .1715 1 0.99 3.08 .1716 1 0.99 3.06 .1717 1 0.99 2.97 .1718 1 0.99 3.00 .1719 1 0.99 3.00 .1720 1 0.99 3.00 .1721 1 0.99 3.06 .1722 1 0.99 2.99 .1723 1 0.99 3.09 .1724 1 0.99 2.85 .1725 1 0.99 2.96 .1726 1 0.99 2.92 .1727 1 0.99 2.64 .1728 1 0.99 2.85 .1729 1 0.99 2.79 .1730 1 0.99 2.77 .1731 1 0.99 2.71 .1732 1 0.99 2.90 .1733 1 0.99 2.76 .1734 1 0.99 2.82 .1735 1 0.99 2.74 .1736 1 0.99 2.83 .1737 1 0.99 2.84 .1738 1 0.99 2.74 .1739 1 0.99 2.79 .1740 1 0.99 2.80 .1741 1 0.99 2.81 .1742 1 0.99 2.81 .1743 1 0.99 2.77 .1744 1 0.99 2.89 .1745 1 0.99 2.87 .1746 1 0.99 2.75 .1747 1 0.99 2.88 .1748 1 0.99 2.99 .1749 1 0.99 2.68 .1750 1 0.99 2.60 .1751 1 0.99 3.15 .1752 1 0.99 3.38 .1753 1 0.99 2.81 .1754 1 0.99 2.85 .1755 1 0.99 2.82 .1756 2 0.99 2.95 .1757 1 0.99 2.88 .1758 1 0.99 2.96 .1759 2 0.99 2.85 .1760 1 0.99 2.74 .1761 1 0.99 2.79 .1762 2 0.99 2.78 .1763 1 0.99 2.85 .1764 1 0.99 2.87 .1765 1 0.99 2.73 .1766 1 0.99 2.90 .1767 1 0.99 2.89 .1768 1 0.99 2.67 .1769 1 0.99 2.94 .1770 3 0.99 2.76 .1771 3 0.99 2.81 .1772 1 0.99 2.79 .1773 1 0.99 2.86 .1774 2 0.99 2.81 .1775 1 0.99 2.58 .1776 1 0.99 2.82 .1777 1 0.99 2.91 .1778 2 0.99 3.15 .1779 3 0.99 2.71 .1780 3 0.99 2.77 .1781 1 0.99 2.92 .1782 2 0.99 2.80 .1783 1 0.99 3.22 .1784 2 0.99 3.43 .1785 1 0.99 2.47 .1786 1 0.99 2.71 .1787 1 0.99 2.52 .1788 1 0.99 2.45 .1789 1 0.99 2.51 .1790 1 0.99 2.64 .1791 1 0.99 2.50 .1792 2 0.99 2.52 .1793 1 0.99 2.53 .1794 1 0.99 2.56 .1795 1 0.99 2.80 .1796 1 0.99 2.51 .1797 1 0.99 2.58 .1798 1 0.99 2.79 .1799 1 0.99 2.72 .1800 1 0.99 2.48 .1801 1 0.99 2.48 .1802 1 0.99 2.88 .1803 1 0.99 2.70 .1804 1 0.99 2.50 .1805 1 0.99 2.64 .1806 1 0.99 2.68 .1807 1 0.99 2.68 .1808 1 0.99 2.59 .1809 1 0.99 2.97 .1810 1 0.99 2.66 .1811 1 0.99 2.75 .1812 2 0.99 2.87 .1813 1 0.99 2.86 .1814 1 0.99 2.67 .1815 1 0.99 2.61 .1816 1 0.99 2.66 .1817 1 0.99 2.85 .1818 2 0.99 2.74 .1819 1 0.99 2.78 .1820 1 0.99 2.72 .1821 1 0.99 2.70 .1822 3 0.99 2.77 .1823 1 0.99 3.12 .1824 1 0.99 2.79 .1825 1 0.99 2.60 .1826 1 0.99 2.83 .1827 1 0.99 2.94 .1828 2 0.99 2.84 .1829 1 0.99 2.67 .1830 1 0.99 2.77 .1831 1 0.99 2.81 .1832 1 0.99 3.13 .1833 1 0.99 2.84 .1834 1 0.99 2.85 .1835 1 0.99 2.71 .1836 1 0.99 2.90 .1837 1 0.99 2.91 .1838 2 0.99 2.94 .1839 1 0.99 2.85 .1840 1 0.99 2.77 .1841 1 0.99 2.66 .1842 1 0.99 2.70 .1843 1 0.99 2.72 .1844 1 0.99 2.69 .1845 1 0.99 2.62 .1846 1 0.99 2.81 .1847 1 0.99 2.64 .1848 1 0.99 2.71 .1849 1 0.99 2.70 .1850 1 0.99 2.76 .1851 1 0.99 2.62 .1852 1 0.99 2.67 .1853 1 0.99 2.75 .1854 1 0.99 2.86 .1855 1 0.99 2.76 .1856 1 0.99 2.78 .1857 1 0.99 2.60 .1858 1 0.99 2.69 .1859 1 0.99 2.63 .1860 1 0.99 2.71 .1861 1 0.99 2.75 .1862 1 0.99 2.83 .1863 2 0.99 2.94 .1864 1 0.99 3.01 .1865 1 0.99 3.11 .1866 1 0.99 3.14 .1867 1 0.99 3.13 .1868 2 0.99 3.06 .1869 1 0.99 3.14 .1870 2 0.99 2.89 .1871 1 0.99 3.00 .1872 2 0.99 2.97 .1873 1 0.99 3.31 .1874 1 0.99 3.12 .1875 1 0.99 2.74 .1876 1 0.99 2.95 .1877 1 0.99 2.60 .1878 1 0.99 2.54 .1879 1 0.99 2.41 .1880 1 0.99 2.55 .1881 1 0.99 2.47 .1882 1 0.99 2.52 .1883 1 0.99 2.98 .1884 1 0.99 2.71 .1885 1 0.99 2.52 .1886 1 0.99 2.48 .1887 1 0.99 2.44 .1888 1 0.99 2.62 .1889 1 0.99 2.60 .1890 1 0.99 2.68 .1891 1 0.99 2.54 .1892 1 0.99 2.62 .1893 1 0.99 2.51 .1894 1 0.99 2.69 .1895 1 0.99 2.60 .1896 1 0.99 2.64 .1897 1 0.99 2.63 .1898 1 0.99 2.53 .1899 1 0.99 2.53 .1900 1 0.99 2.44 .1901 1 0.99 2.49 .1902 2 0.99 2.52 .1903 2 0.99 2.80 .1904 1 0.99 2.50 .1905 1 0.99 2.44 .1906 1 0.99 2.50 .1907 1 0.99 2.52 .1908 3 0.99 2.63 .1909 1 0.99 2.40 .1910 1 0.99 2.47 .1911 1 0.99 2.77 .1912 1 0.99 3.01 .1913 1 0.99 2.54 .1914 1 0.99 2.47 .1915 1 0.99 2.38 .1916 1 0.99 2.34 .1917 1 0.99 2.49 .1918 1 0.99 2.47 .1919 1 0.99 2.40 .1920 1 0.99 2.51 .1921 1 0.99 2.37 .1922 1 0.99 2.38 .1923 1 0.99 2.34 .1924 1 0.99 2.37 .1925 1 0.99 2.44 .1926 1 0.99 2.26 .1927 1 0.99 2.33 .1928 1 0.99 2.42 .1929 1 0.99 2.26 .1930 1 0.99 2.31 .1931 1 0.99 2.37 .1932 1 0.99 2.33 .1933 1 0.99 2.35 .1934 1 0.99 2.28 .1935 1 0.99 2.26 .1936 1 0.99 2.26 .1937 2 0.99 2.38 .1938 2 0.99 2.24 .1939 1 0.99 2.42 .1940 1 0.99 2.26 .1941 1 0.99 2.22 .1942 1 0.99 2.14 .1943 1 0.99 2.37 .1944 1 0.99 2.14 .1945 1 0.99 2.11 .1946 1 0.99 2.11 .1947 1 0.99 2.46 .1948 1 0.99 2.19 .1949 1 0.99 2.13 .1950 1 0.99 2.19 .1951 1 0.99 2.57 .1952 1 0.99 2.09 .1953 1 0.99 2.14 .1954 1 0.99 2.15 .1955 2 0.99 2.09 .1956 1 0.99 2.22 .1957 1 0.99 2.17 .1958 1 0.99 2.18 .1959 1 0.99 2.22 .1960 3 0.99 2.18 .1961 2 0.99 2.31 .1962 1 0.99 2.23 .1963 1 0.99 2.14 .1964 1 0.99 2.18 .1965 1 0.99 2.11 .1966 1 0.99 2.16 .1967 1 0.99 2.07 .1968 1 0.99 2.18 .1969 1 0.99 2.07 .1970 1 0.99 2.16 .1971 1 0.99 2.17 .1972 1 0.99 2.21 .1973 1 0.99 2.19 .1974 1 0.99 2.25 .1975 1 0.99 2.15 .1976 1 0.99 2.14 .1977 1 0.99 2.14 .1978 1 0.99 2.24 .1979 1 0.99 2.14 .1980 1 0.99 2.22 .1981 1 0.99 2.25 .1982 1 0.99 2.45 .1983 1 0.99 2.26 .1984 1 0.99 2.20 .1985 1 0.99 2.14 .1986 1 0.99 2.07 .1987 1 0.99 2.12 .1988 1 0.99 2.11 .1989 1 0.99 2.18 .1990 1 0.99 2.24 .1991 1 0.99 2.20 .1992 1 0.99 2.32 .1993 1 0.99 2.21 .1994 1 0.99 2.11 .1995 1 0.99 2.12 .1996 1 0.99 2.25 .1997 1 0.99 2.14 .1998 1 0.99 2.18 .1999 1 0.99 2.26 .2000 2 1.00 2.32 .2001 1 1.00 2.20 .2002 1 1.00 2.11 .2003 1 1.00 2.11 .2004 1 1.00 2.08 .2005 1 1.00 2.12 .2006 1 1.00 2.18 .2007 1 1.00 2.12 .2008 1 1.00 2.03 .2009 1 1.00 2.02 .2010 1 1.00 2.14 .2011 1 1.00 2.08 .2012 1 1.00 2.20 .2013 2 1.00 2.02 .2014 1 1.00 2.02 .2015 1 1.00 2.31 .2016 1 1.00 1.89 .2017 1 1.00 2.01 .2018 1 1.00 1.92 .2019 1 1.00 2.11 .2020 1 1.00 1.94 .2021 1 1.00 1.89 .2022 2 1.00 2.49 .2023 2 1.00 2.64 .2024 3 1.00 1.92 .2025 1 1.00 1.87 .2026 1 1.00 1.91 .2027 1 1.00 1.95 .2028 1 1.00 1.90 .2029 1 1.00 1.93 .2030 2 1.00 1.94 .2031 1 1.00 1.93 .2032 1 1.00 1.96 .2033 1 1.00 1.98 .2034 1 1.00 1.84 .2035 1 1.00 1.82 .2036 1 1.00 1.90 .2037 1 1.00 1.86 .2038 1 1.00 1.87 .2039 1 1.00 1.99 .2040 1 1.00 2.03 .2041 1 1.00 1.88 .2042 1 1.00 1.90 .2043 1 1.00 1.84 .2044 1 1.00 1.86 .2045 1 1.00 1.91 .2046 1 1.00 1.96 .2047 2 1.00 1.89 EXTRACT_IMAGE: b1: masked 168 pixels SPCALIB: b1: First extraction chi^2 0.00000 11.0876 SPCALIB: b1: Second extraction chi^2 0.00000 7.12380 SUPERFLAT: b1: Creating superflat from 313 fibers highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139Lowest breakpoint does not cover lowest x value: changing .0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b1: Number of fiberflat points LE 0 = 8346 SPCALIB: b1: Elapsed time = 391. seconds SPREDUCE: b1: Best flat = sdR-b1-00034756.fit SPREDUCE: b1: Best arc = sdR-b1-00034757.fit QAPLOT_ARCLINE: b1: Number of arc lines: 15 QAPLOT_ARCLINE: b1: Number of arc lines below 4000 Ang: 1 QAPLOT_ARCLINE: b1: Arcline 0: lambda= 3983.84 Ang, median dev= -0.007 pix, sigma dev= 0.224 pix QAPLOT_ARCLINE: b1: Arcline 1: lambda= 4046.57 Ang, median dev= -0.004 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 2: lambda= 4077.84 Ang, median dev= 0.022 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: b1: Arcline 3: lambda= 4358.34 Ang, median dev= -0.015 pix, sigma dev= 0.006 pix QAPLOT_ARCLINE: b1: Arcline 4: lambda= 4678.15 Ang, median dev= 0.039 pix, sigma dev= 0.034 pix QAPLOT_ARCLINE: b1: Arcline 5: lambda= 4799.91 Ang, median dev= 0.018 pix, sigma dev= 0.020 pix QAPLOT_ARCLINE: b1: Arcline 6: lambda= 4916.07 Ang, median dev= 0.033 pix, sigma dev= 0.053 pix QAPLOT_ARCLINE: b1: Arcline 7: lambda= 5085.82 Ang, median dev= -0.002 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: b1: Arcline 8: lambda= 5460.75 Ang, median dev= -0.023 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: b1: Arcline 9: lambda= 5769.60 Ang, median dev= 0.004 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 10: lambda= 5790.66 Ang, median dev= 0.019 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b1: Arcline 11: lambda= 5852.49 Ang, median dev= 0.010 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: b1: Arcline 12: lambda= 5881.90 Ang, median dev= 0.009 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: b1: Arcline 13: lambda= 5944.83 Ang, median dev= -0.010 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: b1: Arcline 14: lambda= 6030.00 Ang, median dev= -0.023 pix, sigma dev= 0.016 pix SPREDUCE: sdR-b1-00034752.fit: Reading object sdR-b1-00034752.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034752.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034752.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034752.fit: Measured read-noise in DN for amp# 2 = 3.65510 SDSSPROC: sdR-b1-00034752.fit: Measured bias value in DN for amp# 2 = 1222.03 SDSSPROC: sdR-b1-00034752.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034752.fit: Amp #2 Number of pix below bias-5*sigma= 1203. DN is 0 SDSSPROC: sdR-b1-00034752.fit: Measured read-noise in DN for amp# 3 = 2.95545 SDSSPROC: sdR-b1-00034752.fit: Measured bias value in DN for amp# 3 = 1020.62 SDSSPROC: sdR-b1-00034752.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034752.fit: Amp #3 Number of pix below bias-5*sigma= 1004. DN is 0 SDSSPROC: sdR-b1-00034752.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034752.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034752.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034752.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034752.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b1-00034752.fit: Science 25-th-percentile = 81.1295 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EXTRACT_OBJECT: sdR-b1-00034752.fit: Whopping fibers: 264 EXTRACT_OBJECT: sdR-b1-00034752.fit: Median counts in all fibers = 1543.78 EXTRACT_OBJECT: sdR-b1-00034752.fit: Number of bright fibers = 1 EXTRACT_OBJECT: sdR-b1-00034752.fit: Sky fiber median 277.657 EXTRACT_OBJECT: sdR-b1-00034752.fit: 5% and 95% count levels 217.762 5752.09 MATCH_TRACE: sdR-b1-00034752.fit: Iteration: 0 Pixels Rejected: 4149 Finished? 0 MATCH_TRACE: sdR-b1-00034752.fit: Iteration: 1 Pixels Rejected: 35 Finished? 0 MATCH_TRACE: sdR-b1-00034752.fit: Iteration: 2 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b1-00034752.fit: Shifting traces by match_trace 0.0441284 EXTRACT_OBJECT: sdR-b1-00034752.fit: Extracting frame sdR-b1-00034752.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034752.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 1.67 .0004 1 0.92 1.53 .0005 1 0.92 1.60 .0006 3 0.92 1.59 .0007 1 0.92 1.64 .0008 1 0.92 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2.58 .1785 1 0.99 2.37 .1786 1 0.99 2.27 .1787 1 0.99 2.26 .1788 1 0.99 2.35 .1789 1 0.99 2.45 .1790 1 0.99 2.34 .1791 1 0.99 2.37 .1792 1 0.99 2.28 .1793 2 0.99 2.52 .1794 3 0.99 2.31 .1795 2 0.99 2.26 .1796 2 0.99 2.34 .1797 2 0.99 2.59 .1798 2 0.99 2.61 .1799 2 0.99 2.37 .1800 1 0.99 2.46 .1801 3 0.99 2.43 .1802 1 0.99 2.35 .1803 2 0.99 2.37 .1804 2 0.99 2.35 .1805 1 0.99 2.33 .1806 2 0.99 2.48 .1807 2 0.99 2.84 .1808 3 0.99 2.64 .1809 3 0.99 2.38 .1810 3 0.99 2.29 .1811 3 0.99 2.38 .1812 2 0.99 2.42 .1813 1 0.99 2.37 .1814 1 0.99 2.25 .1815 2 0.99 2.47 .1816 2 0.99 2.35 .1817 2 0.99 2.29 .1818 2 0.99 2.50 .1819 2 0.99 2.60 .1820 1 0.99 2.33 .1821 2 0.99 2.40 .1822 1 0.99 2.26 .1823 2 0.99 2.49 .1824 2 0.99 2.70 .1825 1 0.99 2.69 .1826 3 0.99 2.45 .1827 3 0.99 2.32 .1828 1 0.99 2.41 .1829 2 0.99 2.45 .1830 2 0.99 2.41 .1831 1 0.99 2.42 .1832 2 0.99 2.45 .1833 3 0.99 2.46 .1834 2 0.99 2.42 .1835 2 0.99 2.58 .1836 2 0.99 2.45 .1837 1 0.99 2.39 .1838 3 0.99 2.25 .1839 3 0.99 2.40 .1840 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1.73 .1896 1 0.99 1.79 .1897 2 0.99 1.80 .1898 1 0.99 1.92 .1899 2 0.99 1.94 .1900 2 0.99 1.78 .1901 3 0.99 1.90 .1902 3 0.99 1.94 .1903 1 0.99 1.98 .1904 1 0.99 1.99 .1905 1 0.99 2.26 .1906 1 0.99 1.94 .1907 1 0.99 1.87 .1908 1 0.99 1.96 .1909 1 0.99 2.12 .1910 1 0.99 1.96 .1911 2 0.99 1.95 .1912 4 0.99 2.03 .1913 3 0.99 1.93 .1914 1 0.99 2.00 .1915 1 0.99 1.80 .1916 1 0.99 1.79 .1917 1 0.99 1.84 .1918 2 0.99 1.83 .1919 1 0.99 1.90 .1920 1 0.99 1.80 .1921 1 0.99 1.95 .1922 1 0.99 1.90 .1923 2 0.99 1.92 .1924 1 0.99 1.95 .1925 1 0.99 1.98 .1926 1 0.99 1.87 .1927 1 0.99 1.92 .1928 1 0.99 1.93 .1929 3 0.99 2.20 .1930 3 0.99 1.92 .1931 1 0.99 1.97 .1932 1 0.99 2.03 .1933 2 0.99 2.11 .1934 2 0.99 1.95 .1935 1 0.99 1.98 .1936 1 0.99 2.00 .1937 1 0.99 1.99 .1938 2 0.99 2.04 .1939 5 0.99 2.06 .1940 3 0.99 1.95 .1941 1 0.99 1.91 .1942 1 0.99 1.96 .1943 3 0.99 1.88 .1944 2 0.99 2.19 .1945 2 0.99 1.92 .1946 2 0.99 2.09 .1947 1 0.99 1.98 .1948 1 0.99 1.94 .1949 1 0.99 1.85 .1950 1 0.99 1.78 .1951 4 0.99 1.84 .1952 2 0.99 2.09 .1953 1 0.99 1.87 .1954 1 0.99 1.71 .1955 1 0.99 1.91 .1956 1 0.99 1.85 .1957 1 0.99 1.71 .1958 1 0.99 1.67 .1959 1 0.99 1.66 .1960 1 0.99 1.66 .1961 1 0.99 1.64 .1962 1 0.99 1.52 .1963 1 0.99 1.57 .1964 3 0.99 1.67 .1965 3 0.99 1.55 .1966 1 0.99 1.55 .1967 1 0.99 1.65 .1968 1 0.99 1.82 .1969 1 0.99 1.73 .1970 3 0.99 1.74 .1971 5 0.99 1.67 .1972 2 0.99 1.89 .1973 5 0.99 1.81 .1974 2 0.99 1.90 .1975 1 0.99 1.77 .1976 3 0.99 1.74 .1977 3 0.99 1.86 .1978 2 0.99 1.85 .1979 3 0.99 1.91 .1980 1 0.99 1.93 .1981 2 0.99 1.75 .1982 2 0.99 1.87 .1983 1 0.99 1.87 .1984 3 0.99 1.91 .1985 4 0.99 1.87 .1986 4 0.99 2.00 .1987 2 0.99 2.35 .1988 3 0.99 2.10 .1989 1 0.99 1.91 .1990 2 0.99 1.97 .1991 3 0.99 1.91 .1992 3 0.99 2.07 .1993 2 0.99 1.99 .1994 1 0.99 1.91 .1995 1 0.99 1.86 .1996 1 0.99 1.87 .1997 2 0.99 1.91 .1998 2 0.99 1.98 .1999 1 0.99 2.02 .2000 1 1.00 1.88 .2001 1 1.00 1.87 .2002 1 1.00 1.94 .2003 1 1.00 1.84 .2004 1 1.00 1.72 .2005 1 1.00 1.87 .2006 1 1.00 1.71 .2007 1 1.00 1.71 .2008 1 1.00 1.67 .2009 2 1.00 1.71 .2010 1 1.00 1.63 .2011 1 1.00 1.70 .2012 3 1.00 1.61 .2013 1 1.00 1.61 .2014 2 1.00 1.72 .2015 3 1.00 1.53 .2016 2 1.00 1.77 .2017 1 1.00 1.54 .2018 1 1.00 1.65 .2019 1 1.00 1.50 .2020 1 1.00 1.54 .2021 3 1.00 1.57 .2022 3 1.00 1.59 .2023 3 1.00 1.53 .2024 1 1.00 1.62 .2025 1 1.00 1.48 .2026 3 1.00 1.48 .2027 1 1.00 1.54 .2028 1 1.00 1.54 .2029 4 1.00 1.78 .2030 3 1.00 1.72 .2031 1 1.00 1.55 .2032 3 1.00 1.64 .2033 3 1.00 1.56 .2034 1 1.00 1.54 .2035 2 1.00 1.62 .2036 2 1.00 1.72 .2037 1 1.00 1.63 .2038 2 1.00 1.64 .2039 2 1.00 1.71 .2040 4 1.00 1.69 .2041 2 1.00 1.65 .2042 1 1.00 1.62 .2043 4 1.00 1.80 .2044 3 1.00 1.70 .2045 1 1.00 1.84 .2046 2 1.00 1.65 .2047 3 1.00 1.74 EXTRACT_IMAGE: sdR-b1-00034752.fit: masked 1754 pixels EXTRACT_OBJECT: sdR-b1-00034752.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034752.fit: WARNING: Scattered light median = 27.6948 electrons QAPLOT_SCATLIGHT: sdR-b1-00034752.fit: WARNING: Scattered light max = 86.0008 electrons EXTRACT_OBJECT: sdR-b1-00034752.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034752.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034752.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034752.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 64 0.03 0.14 Step 10 of 2080 0.61 64 0.03 0.12 Step 14 of 2080 0.61 64 0.03 0.12 Step 18 of 2080 0.61 64 0.03 0.12 Step 22 of 2080 0.61 64 0.03 0.12 Step 26 of 2080 0.61 64 0.03 0.12 Step 30 of 2080 0.61 64 0.03 0.11 Step 34 of 2080 0.61 64 0.04 0.13 Step 38 of 2080 0.61 64 0.03 0.13 Step 42 of 2080 0.61 64 0.03 0.11 Step 46 of 2080 0.61 64 0.03 0.12 Step 50 of 2080 0.61 64 0.03 0.12 Step 54 of 2080 0.61 64 0.03 0.12 Step 58 of 2080 0.61 64 0.03 0.11 Step 62 of 2080 0.61 64 0.03 0.12 Step 66 of 2080 0.61 64 0.03 0.12 Step 70 of 2080 0.61 64 0.03 0.12 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of 2080 0.58 64 0.03 0.13 Step 306 of 2080 0.58 64 0.03 0.11 Step 310 of 2080 0.58 64 0.04 0.13 Step 314 of 2080 0.58 64 0.04 0.14 Step 318 of 2080 0.58 64 0.04 0.13 Step 322 of 2080 0.58 64 0.03 0.13 Step 326 of 2080 0.58 64 0.04 0.13 Step 330 of 2080 0.57 64 0.04 0.13 Step 334 of 2080 0.57 64 0.04 0.13 Step 338 of 2080 0.57 64 0.04 0.13 Step 342 of 2080 0.57 64 0.04 0.13 Step 346 of 2080 0.57 64 0.04 0.13 Step 350 of 2080 0.57 64 0.04 0.12 Step 354 of 2080 0.57 64 0.04 0.12 Step 358 of 2080 0.57 64 0.04 0.13 Step 362 of 2080 0.57 64 0.04 0.13 Step 366 of 2080 0.57 64 0.04 0.12 Step 370 of 2080 0.57 64 0.04 0.13 Step 374 of 2080 0.57 64 0.04 0.13 Step 378 of 2080 0.57 64 0.04 0.13 Step 382 of 2080 0.57 64 0.03 0.12 Step 386 of 2080 0.57 64 0.02 0.12 Step 390 of 2080 0.57 64 0.03 0.12 Step 394 of 2080 0.57 64 0.03 0.12 Step 398 of 2080 0.57 64 0.03 0.12 Step 402 of 2080 0.57 64 0.03 0.12 Step 406 of 2080 0.57 64 0.03 0.12 Step 410 of 2080 0.57 64 0.03 0.12 Step 414 of 2080 0.56 64 0.03 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64 0.02 0.11 Step 1322 of 2080 0.46 64 0.03 0.11 Step 1326 of 2080 0.46 64 0.03 0.11 Step 1330 of 2080 0.46 64 0.03 0.12 Step 1334 of 2080 0.46 64 0.03 0.14 Step 1338 of 2080 0.46 64 0.03 0.12 Step 1342 of 2080 0.45 64 0.03 0.12 Step 1346 of 2080 0.45 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.03 0.13 Step 1354 of 2080 0.45 64 0.03 0.13 Step 1358 of 2080 0.45 64 0.03 0.12 Step 1362 of 2080 0.45 64 0.03 0.12 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.04 0.13 Step 1374 of 2080 0.45 64 0.03 0.13 Step 1378 of 2080 0.45 64 0.03 0.13 Step 1382 of 2080 0.45 64 0.03 0.12 Step 1386 of 2080 0.45 64 0.04 0.13 Step 1390 of 2080 0.45 64 0.03 0.12 Step 1394 of 2080 0.45 64 0.04 0.13 Step 1398 of 2080 0.45 64 0.03 0.12 Step 1402 of 2080 0.45 64 0.03 0.13 Step 1406 of 2080 0.45 64 0.03 0.12 Step 1410 of 2080 0.45 64 0.04 0.12 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.03 0.13 Step 1422 of 2080 0.45 64 0.03 0.13 Step 1426 of 2080 0.45 64 0.03 0.13 Step 1430 of 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0.13 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.04 0.13 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.04 0.13 Step 1670 of 2080 0.42 64 0.04 0.12 Step 1674 of 2080 0.42 64 0.03 0.12 Step 1678 of 2080 0.42 64 0.04 0.12 Step 1682 of 2080 0.42 64 0.04 0.13 Step 1686 of 2080 0.42 64 0.04 0.13 Step 1690 of 2080 0.42 64 0.04 0.12 Step 1694 of 2080 0.42 64 0.04 0.13 Step 1698 of 2080 0.42 64 0.04 0.12 Step 1702 of 2080 0.42 64 0.04 0.15 Step 1706 of 2080 0.42 64 0.03 0.13 Step 1710 of 2080 0.42 64 0.04 0.13 Step 1714 of 2080 0.41 64 0.04 0.11 Step 1718 of 2080 0.41 64 0.04 0.11 Step 1722 of 2080 0.41 64 0.04 0.11 Step 1726 of 2080 0.41 64 0.04 0.11 Step 1730 of 2080 0.41 64 0.04 0.11 Step 1734 of 2080 0.41 64 0.04 0.11 Step 1738 of 2080 0.41 64 0.04 0.11 Step 1742 of 2080 0.41 64 0.04 0.11 Step 1746 of 2080 0.41 64 0.04 0.11 Step 1750 of 2080 0.41 64 0.04 0.11 Step 1754 of 2080 0.41 64 0.04 0.12 Step 1758 of 2080 0.41 64 0.02 0.11 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.12 Step 1770 of 2080 0.41 64 0.03 0.12 Step 1774 of 2080 0.41 64 0.03 0.12 Step 1778 of 2080 0.41 64 0.05 0.14 Step 1782 of 2080 0.41 64 0.04 0.13 Step 1786 of 2080 0.41 64 0.04 0.12 Step 1790 of 2080 0.41 64 0.05 0.13 Step 1794 of 2080 0.41 64 0.04 0.12 Step 1798 of 2080 0.41 64 0.04 0.12 Step 1802 of 2080 0.41 64 0.05 0.12 Step 1806 of 2080 0.41 64 0.05 0.12 Step 1810 of 2080 0.40 64 0.04 0.13 Step 1814 of 2080 0.40 64 0.04 0.12 Step 1818 of 2080 0.40 64 0.04 0.13 Step 1822 of 2080 0.40 64 0.04 0.13 Step 1826 of 2080 0.40 64 0.05 0.15 Step 1830 of 2080 0.40 64 0.04 0.13 Step 1834 of 2080 0.40 64 0.04 0.13 Step 1838 of 2080 0.40 64 0.04 0.13 Step 1842 of 2080 0.40 64 0.03 0.13 Step 1846 of 2080 0.40 64 0.04 0.13 Step 1850 of 2080 0.40 64 0.05 0.15 Step 1854 of 2080 0.40 64 0.03 0.12 Step 1858 of 2080 0.40 64 0.04 0.12 Step 1862 of 2080 0.40 64 0.04 0.13 Step 1866 of 2080 0.40 64 0.04 0.13 Step 1870 of 2080 0.40 64 0.04 0.14 Step 1874 of 2080 0.40 64 0.04 0.13 Step 1878 of 2080 0.40 64 0.04 0.14 Step 1882 of 2080 0.40 64 0.04 0.13 Step 1886 of 2080 0.40 64 0.04 0.13 Step 1890 of 2080 0.40 64 0.05 0.14 Step 1894 of 2080 0.40 64 0.04 0.13 Step 1898 of 2080 0.40 64 0.04 0.13 Step 1902 of 2080 0.40 64 0.04 0.13 Step 1906 of 2080 0.39 64 0.04 0.13 Step 1910 of 2080 0.39 64 0.04 0.13 Step 1914 of 2080 0.39 64 0.04 0.14 Step 1918 of 2080 0.39 64 0.04 0.13 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.02 0.11 Step 1942 of 2080 0.39 64 0.03 0.12 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.12 Step 1958 of 2080 0.39 64 0.03 0.11 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.04 0.13 Step 1974 of 2080 0.39 64 0.06 0.14 Step 1978 of 2080 0.39 64 0.04 0.14 Step 1982 of 2080 0.39 64 0.04 0.13 Step 1986 of 2080 0.39 64 0.03 0.11 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.38 64 0.03 0.11 Step 2010 of 2080 0.38 64 0.03 0.11 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.03 0.12 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.13 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.13 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 32 0.01 0.05 Step 2050 of 2080 0.38 32 0.01 0.05 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.02 0.06 Step 2074 of 2080 0.38 32 0.01 0.05 Step 2078 of 2080 0.38 32 0.02 0.06 EXTRACT_OBJECT: sdR-b1-00034752.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 1.47 .0004 1 0.92 1.32 .0005 1 0.92 1.39 .0006 3 0.92 1.33 .0007 1 0.92 1.38 .0008 1 0.92 1.33 .0009 2 0.92 1.29 .0010 3 0.92 1.33 .0011 1 0.92 1.29 .0012 1 0.93 1.20 .0013 3 0.93 1.33 .0014 3 0.93 1.17 .0015 1 0.93 1.21 .0016 3 0.93 1.34 .0017 4 0.93 1.13 .0018 3 0.93 1.34 .0019 3 0.93 1.19 .0020 2 0.93 1.38 .0021 1 0.93 1.19 .0022 1 0.93 1.27 .0023 1 0.93 1.17 .0024 2 0.93 1.29 .0025 2 0.93 1.16 .0026 1 0.93 1.20 .0027 2 0.93 1.34 .0028 1 0.93 1.30 .0029 3 0.93 1.20 .0030 1 0.93 1.23 .0031 3 0.93 1.22 .0032 3 0.93 1.30 .0033 2 0.93 1.34 .0034 1 0.93 1.29 .0035 1 0.93 1.41 .0036 1 0.93 1.37 .0037 1 0.93 1.41 .0038 1 0.93 1.32 .0039 2 0.93 1.50 .0040 1 0.93 1.30 .0041 1 0.93 1.40 .0042 1 0.93 1.39 .0043 1 0.93 1.44 .0044 3 0.93 1.46 .0045 1 0.93 1.50 .0046 1 0.93 1.44 .0047 1 0.93 1.45 .0048 1 0.93 1.50 .0049 1 0.93 1.45 .0050 1 0.93 1.50 .0051 2 0.93 1.53 .0052 1 0.93 1.56 .0053 1 0.93 1.54 .0054 1 0.93 1.54 .0055 1 0.94 1.58 .0056 1 0.94 1.50 .0057 2 0.94 1.80 .0058 4 0.94 1.75 .0059 3 0.94 1.69 .0060 3 0.94 1.81 .0061 1 0.94 1.56 .0062 1 0.94 1.57 .0063 1 0.94 1.64 .0064 2 0.94 1.66 .0065 1 0.94 1.65 .0066 1 0.94 1.70 .0067 2 0.94 1.74 .0068 1 0.94 1.68 .0069 1 0.94 1.75 .0070 2 0.94 1.77 .0071 2 0.94 1.63 .0072 3 0.94 1.84 .0073 1 0.94 1.82 .0074 3 0.94 1.75 .0075 2 0.94 1.79 .0076 1 0.94 1.72 .0077 1 0.94 1.88 .0078 1 0.94 1.75 .0079 2 0.94 1.70 .0080 1 0.94 1.67 .0081 1 0.94 1.84 .0082 2 0.94 1.84 .0083 1 0.94 1.77 .0084 2 0.94 1.90 .0085 1 0.94 1.87 .0086 1 0.94 1.76 .0087 1 0.94 1.81 .0088 2 0.94 1.78 .0089 2 0.94 1.77 .0090 2 0.94 1.79 .0091 2 0.94 1.77 .0092 2 0.94 1.79 .0093 2 0.94 1.77 .0094 2 0.94 1.78 .0095 1 0.94 1.89 .0096 3 0.94 1.79 .0097 3 0.94 1.82 .0098 2 0.94 1.77 .0099 1 0.94 1.84 .0100 1 0.94 1.76 .0101 1 0.94 1.79 .0102 1 0.94 1.81 .0103 1 0.94 1.82 .0104 2 0.94 1.81 .0105 1 0.94 1.79 .0106 2 0.95 1.83 .0107 2 0.95 1.80 .0108 1 0.95 1.68 .0109 1 0.95 1.85 .0110 1 0.95 1.79 .0111 1 0.95 1.81 .0112 1 0.95 1.93 .0113 2 0.95 1.91 .0114 1 0.95 1.71 .0115 1 0.95 1.87 .0116 2 0.95 1.66 .0117 1 0.95 1.72 .0118 1 0.95 1.92 .0119 3 0.95 1.85 .0120 2 0.95 1.85 .0121 1 0.95 1.79 .0122 1 0.95 1.91 .0123 1 0.95 1.99 .0124 1 0.95 1.78 .0125 1 0.95 1.86 .0126 1 0.95 1.79 .0127 1 0.95 1.77 .0128 2 0.95 1.75 .0129 1 0.95 1.97 .0130 1 0.95 1.80 .0131 1 0.95 1.89 .0132 1 0.95 1.86 .0133 1 0.95 1.79 .0134 1 0.95 1.74 .0135 2 0.95 1.84 .0136 2 0.95 1.81 .0137 2 0.95 1.84 .0138 1 0.95 1.74 .0139 1 0.95 1.83 .0140 4 0.95 1.80 .0141 2 0.95 1.97 .0142 2 0.95 1.89 .0143 2 0.95 1.85 .0144 3 0.95 1.91 .0145 4 0.95 1.62 .0146 3 0.95 1.84 .0147 4 0.95 1.82 .0148 1 0.95 1.84 .0149 2 0.95 1.93 .0150 3 0.95 1.85 .0151 3 0.95 1.96 .0152 1 0.95 1.76 .0153 2 0.95 1.86 .0154 3 0.95 1.91 .0155 3 0.95 1.81 .0156 2 0.95 1.84 .0157 2 0.95 1.82 .0158 3 0.95 2.03 .0159 2 0.95 1.92 .0160 1 0.95 1.79 .0161 2 0.95 1.92 .0162 2 0.95 1.96 .0163 2 0.95 1.90 .0164 2 0.95 1.88 .0165 3 0.95 1.73 .0166 3 0.95 1.94 .0167 3 0.95 2.05 .0168 3 0.95 1.88 .0169 3 0.95 1.87 .0170 2 0.96 1.87 .0171 3 0.96 1.95 .0172 3 0.96 2.10 .0173 3 0.96 1.86 .0174 4 0.96 1.87 .0175 1 0.96 1.75 .0176 2 0.96 1.94 .0177 3 0.96 1.84 .0178 2 0.96 1.99 .0179 1 0.96 1.74 .0180 1 0.96 1.82 .0181 2 0.96 1.80 .0182 2 0.96 1.88 .0183 1 0.96 1.78 .0184 1 0.96 1.87 .0185 1 0.96 1.86 .0186 1 0.96 2.05 .0187 1 0.96 1.84 .0188 2 0.96 1.92 .0189 2 0.96 1.87 .0190 1 0.96 1.91 .0191 1 0.96 1.78 .0192 1 0.96 1.78 .0193 1 0.96 1.92 .0194 3 0.96 1.87 .0195 1 0.96 1.88 .0196 1 0.96 1.85 .0197 1 0.96 1.80 .0198 1 0.96 1.90 .0199 1 0.96 1.78 .0200 1 0.96 1.86 .0201 1 0.96 1.92 .0202 1 0.96 1.85 .0203 1 0.96 1.86 .0204 1 0.96 1.82 .0205 1 0.96 1.88 .0206 1 0.96 1.82 .0207 2 0.96 1.90 .0208 1 0.96 1.75 .0209 1 0.96 1.83 .0210 1 0.96 1.80 .0211 1 0.96 1.73 .0212 1 0.96 1.74 .0213 1 0.96 1.84 .0214 1 0.96 1.83 .0215 1 0.96 1.79 .0216 1 0.96 1.78 .0217 1 0.96 1.92 .0218 3 0.96 1.82 .0219 1 0.96 1.98 .0220 3 0.96 2.05 .0221 2 0.96 2.32 .0222 2 0.96 1.96 .0223 2 0.96 1.91 .0224 1 0.96 1.95 .0225 1 0.96 1.96 .0226 1 0.96 1.95 .0227 1 0.96 2.03 .0228 2 0.96 1.94 .0229 2 0.96 1.90 .0230 2 0.96 1.99 .0231 1 0.96 1.97 .0232 1 0.96 2.02 .0233 1 0.96 1.79 .0234 2 0.96 1.87 .0235 3 0.96 2.02 .0236 1 0.96 1.94 .0237 2 0.96 1.90 .0238 2 0.96 2.07 .0239 3 0.96 2.04 .0240 3 0.96 1.98 .0241 1 0.96 1.98 .0242 1 0.96 2.03 .0243 1 0.96 2.11 .0244 1 0.96 1.95 .0245 1 0.96 2.01 .0246 3 0.96 2.01 .0247 4 0.96 2.35 .0248 4 0.96 2.07 .0249 5 0.96 1.98 .0250 2 0.96 2.25 .0251 3 0.96 2.05 .0252 1 0.96 2.11 .0253 2 0.96 2.13 .0254 3 0.96 2.14 .0255 2 0.96 2.09 .0256 1 0.96 2.28 .0257 2 0.96 2.18 .0258 1 0.96 2.25 .0259 1 0.97 2.26 .0260 1 0.97 2.19 .0261 1 0.97 2.22 .0262 1 0.97 2.22 .0263 1 0.97 2.29 .0264 1 0.97 2.21 .0265 1 0.97 2.30 .0266 1 0.97 2.09 .0267 1 0.97 2.26 .0268 1 0.97 2.47 .0269 1 0.97 2.32 .0270 1 0.97 2.37 .0271 1 0.97 2.27 .0272 1 0.97 2.42 .0273 1 0.97 2.44 .0274 2 0.97 2.68 .0275 2 0.97 2.51 .0276 3 0.97 2.36 .0277 1 0.97 2.51 .0278 1 0.97 2.47 .0279 1 0.97 2.42 .0280 1 0.97 2.34 .0281 1 0.97 2.37 .0282 1 0.97 2.44 .0283 1 0.97 2.46 .0284 1 0.97 2.38 .0285 1 0.97 2.30 .0286 1 0.97 2.38 .0287 1 0.97 2.52 .0288 2 0.97 2.63 .0289 3 0.97 2.43 .0290 1 0.97 2.48 .0291 2 0.97 2.45 .0292 3 0.97 2.65 .0293 2 0.97 2.65 .0294 2 0.97 2.58 .0295 2 0.97 2.61 .0296 2 0.97 2.46 .0297 2 0.97 2.43 .0298 1 0.97 2.43 .0299 1 0.97 2.50 .0300 1 0.97 2.41 .0301 1 0.97 2.49 .0302 1 0.97 2.54 .0303 1 0.97 2.53 .0304 1 0.97 2.58 .0305 1 0.97 2.52 .0306 1 0.97 2.42 .0307 3 0.97 2.40 .0308 1 0.97 2.55 .0309 1 0.97 2.54 .0310 1 0.97 2.58 .0311 1 0.97 2.60 .0312 2 0.97 2.60 .0313 2 0.97 2.58 .0314 2 0.97 2.62 .0315 1 0.97 2.87 .0316 1 0.97 2.57 .0317 2 0.97 2.69 .0318 1 0.97 2.43 .0319 3 0.97 2.64 .0320 1 0.97 2.46 .0321 1 0.97 2.50 .0322 1 0.97 2.51 .0323 1 0.97 2.70 .0324 1 0.97 2.53 .0325 1 0.97 2.69 .0326 1 0.97 2.44 .0327 1 0.97 2.58 .0328 1 0.97 2.50 .0329 2 0.97 2.52 .0330 1 0.97 2.98 .0331 3 0.97 2.69 .0332 2 0.97 2.71 .0333 2 0.97 2.67 .0334 1 0.97 2.62 .0335 1 0.97 2.56 .0336 1 0.97 2.52 .0337 2 0.97 2.63 .0338 2 0.97 2.67 .0339 2 0.97 2.90 .0340 1 0.97 2.54 .0341 4 0.97 2.54 .0342 2 0.97 2.64 .0343 1 0.97 2.65 .0344 1 0.97 2.79 .0345 1 0.97 2.50 .0346 2 0.97 2.55 .0347 2 0.97 2.70 .0348 2 0.97 2.53 .0349 1 0.97 2.68 .0350 1 0.97 2.58 .0351 1 0.97 2.63 .0352 1 0.97 2.43 .0353 1 0.97 2.56 .0354 1 0.97 2.61 .0355 1 0.97 2.62 .0356 1 0.97 2.48 .0357 1 0.97 2.62 .0358 1 0.97 2.57 .0359 1 0.97 2.68 .0360 2 0.97 2.61 .0361 2 0.97 2.67 .0362 1 0.97 2.58 .0363 3 0.97 2.54 .0364 4 0.97 2.44 .0365 2 0.97 2.52 .0366 1 0.97 2.48 .0367 2 0.97 2.69 .0368 1 0.97 2.58 .0369 1 0.97 2.54 .0370 2 0.97 2.82 .0371 2 0.97 2.52 .0372 2 0.97 2.67 .0373 2 0.97 2.65 .0374 1 0.97 2.51 .0375 1 0.97 2.63 .0376 1 0.97 2.53 .0377 1 0.97 2.53 .0378 2 0.97 2.59 .0379 2 0.97 2.59 .0380 2 0.97 2.55 .0381 4 0.97 2.55 .0382 2 0.97 2.71 .0383 1 0.97 2.65 .0384 1 0.97 2.53 .0385 1 0.97 2.56 .0386 1 0.97 2.67 .0387 3 0.97 2.67 .0388 1 0.97 2.69 .0389 2 0.97 2.67 .0390 1 0.97 2.56 .0391 2 0.97 2.68 .0392 1 0.97 2.61 .0393 2 0.97 2.58 .0394 1 0.97 2.66 .0395 1 0.97 2.62 .0396 4 0.97 2.72 .0397 3 0.97 2.59 .0398 1 0.97 2.63 .0399 1 0.97 2.61 .0400 1 0.97 2.46 .0401 1 0.97 2.49 .0402 1 0.97 2.55 .0403 1 0.97 2.53 .0404 1 0.97 2.78 .0405 2 0.97 2.83 .0406 2 0.97 2.63 .0407 2 0.97 2.53 .0408 2 0.97 2.70 .0409 1 0.97 2.54 .0410 2 0.97 2.74 .0411 2 0.97 2.48 .0412 2 0.97 2.69 .0413 3 0.97 2.65 .0414 1 0.97 2.73 .0415 2 0.97 2.48 .0416 1 0.97 2.72 .0417 1 0.97 2.77 .0418 1 0.97 2.60 .0419 2 0.97 2.56 .0420 2 0.97 2.65 .0421 1 0.97 2.65 .0422 1 0.97 2.68 .0423 2 0.98 2.69 .0424 2 0.98 2.57 .0425 1 0.98 2.65 .0426 3 0.98 2.76 .0427 2 0.98 2.68 .0428 4 0.98 2.76 .0429 3 0.98 2.61 .0430 1 0.98 2.64 .0431 2 0.98 2.70 .0432 2 0.98 2.53 .0433 1 0.98 2.51 .0434 1 0.98 2.45 .0435 1 0.98 2.59 .0436 1 0.98 2.43 .0437 1 0.98 2.68 .0438 1 0.98 2.53 .0439 3 0.98 2.49 .0440 3 0.98 2.71 .0441 2 0.98 2.50 .0442 1 0.98 2.61 .0443 1 0.98 2.52 .0444 2 0.98 2.60 .0445 1 0.98 2.53 .0446 1 0.98 2.42 .0447 1 0.98 2.53 .0448 2 0.98 2.62 .0449 3 0.98 2.60 .0450 2 0.98 2.67 .0451 1 0.98 2.44 .0452 1 0.98 2.58 .0453 2 0.98 2.90 .0454 3 0.98 2.59 .0455 2 0.98 2.53 .0456 2 0.98 2.46 .0457 1 0.98 2.52 .0458 1 0.98 2.60 .0459 2 0.98 2.53 .0460 1 0.98 2.45 .0461 1 0.98 2.65 .0462 1 0.98 2.61 .0463 3 0.98 2.42 .0464 1 0.98 2.63 .0465 1 0.98 2.74 .0466 2 0.98 2.56 .0467 1 0.98 2.73 .0468 2 0.98 2.66 .0469 2 0.98 2.70 .0470 1 0.98 2.86 .0471 2 0.98 2.54 .0472 2 0.98 2.52 .0473 2 0.98 2.64 .0474 2 0.98 2.59 .0475 3 0.98 2.76 .0476 2 0.98 2.70 .0477 1 0.98 2.51 .0478 1 0.98 2.48 .0479 1 0.98 2.42 .0480 1 0.98 2.56 .0481 1 0.98 2.42 .0482 1 0.98 2.57 .0483 1 0.98 2.52 .0484 1 0.98 2.53 .0485 1 0.98 2.53 .0486 1 0.98 2.43 .0487 1 0.98 2.53 .0488 1 0.98 2.49 .0489 1 0.98 2.49 .0490 2 0.98 2.52 .0491 1 0.98 2.59 .0492 1 0.98 2.56 .0493 2 0.98 2.50 .0494 4 0.98 2.54 .0495 3 0.98 2.63 .0496 2 0.98 2.55 .0497 1 0.98 2.54 .0498 1 0.98 2.54 .0499 1 0.98 2.58 .0500 2 0.98 2.71 .0501 3 0.98 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1.53 .1945 2 0.99 1.40 .1946 3 0.99 1.49 .1947 1 0.99 1.43 .1948 1 0.99 1.41 .1949 1 0.99 1.33 .1950 1 0.99 1.28 .1951 4 0.99 1.31 .1952 3 0.99 1.48 .1953 1 0.99 1.37 .1954 1 0.99 1.29 .1955 1 0.99 1.43 .1956 1 0.99 1.42 .1957 1 0.99 1.33 .1958 1 0.99 1.29 .1959 1 0.99 1.34 .1960 1 0.99 1.29 .1961 1 0.99 1.30 .1962 1 0.99 1.18 .1963 1 0.99 1.23 .1964 3 0.99 1.34 .1965 3 0.99 1.18 .1966 1 0.99 1.21 .1967 1 0.99 1.28 .1968 1 0.99 1.41 .1969 1 0.99 1.34 .1970 3 0.99 1.37 .1971 5 0.99 1.31 .1972 2 0.99 1.46 .1973 5 0.99 1.38 .1974 2 0.99 1.45 .1975 1 0.99 1.36 .1976 3 0.99 1.31 .1977 3 0.99 1.35 .1978 2 0.99 1.39 .1979 3 0.99 1.46 .1980 1 0.99 1.44 .1981 2 0.99 1.29 .1982 2 0.99 1.34 .1983 1 0.99 1.37 .1984 3 0.99 1.44 .1985 4 0.99 1.38 .1986 4 0.99 1.47 .1987 4 0.99 1.49 .1988 3 0.99 1.52 .1989 1 0.99 1.43 .1990 2 0.99 1.45 .1991 3 0.99 1.42 .1992 3 0.99 1.57 .1993 3 0.99 1.38 .1994 1 0.99 1.40 .1995 1 0.99 1.41 .1996 1 0.99 1.42 .1997 2 0.99 1.45 .1998 3 0.99 1.48 .1999 1 0.99 1.61 .2000 1 1.00 1.43 .2001 1 1.00 1.46 .2002 1 1.00 1.53 .2003 1 1.00 1.40 .2004 1 1.00 1.35 .2005 1 1.00 1.45 .2006 1 1.00 1.36 .2007 1 1.00 1.36 .2008 1 1.00 1.33 .2009 2 1.00 1.36 .2010 1 1.00 1.35 .2011 1 1.00 1.37 .2012 3 1.00 1.29 .2013 1 1.00 1.27 .2014 2 1.00 1.41 .2015 3 1.00 1.23 .2016 2 1.00 1.46 .2017 1 1.00 1.27 .2018 1 1.00 1.37 .2019 1 1.00 1.23 .2020 1 1.00 1.26 .2021 3 1.00 1.30 .2022 3 1.00 1.37 .2023 3 1.00 1.28 .2024 1 1.00 1.34 .2025 1 1.00 1.20 .2026 3 1.00 1.22 .2027 1 1.00 1.29 .2028 1 1.00 1.25 .2029 5 1.00 1.41 .2030 3 1.00 1.43 .2031 1 1.00 1.27 .2032 2 1.00 1.32 .2033 3 1.00 1.27 .2034 1 1.00 1.19 .2035 2 1.00 1.28 .2036 2 1.00 1.39 .2037 1 1.00 1.26 .2038 2 1.00 1.29 .2039 2 1.00 1.38 .2040 4 1.00 1.30 .2041 2 1.00 1.31 .2042 1 1.00 1.26 .2043 4 1.00 1.50 .2044 3 1.00 1.40 .2045 1 1.00 1.51 .2046 2 1.00 1.32 .2047 3 1.00 1.35 EXTRACT_IMAGE: sdR-b1-00034752.fit: masked 2008 pixels EXTRACT_OBJECT: sdR-b1-00034752.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034752.fit: Scattered light median = 7.05185 electrons QAPLOT_SCATLIGHT: sdR-b1-00034752.fit: WARNING: Scattered light max = 47.2746 electrons EXTRACT_OBJECT: sdR-b1-00034752.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 2.92 .0004 1 0.92 2.46 .0005 1 0.92 2.18 .0006 4 0.92 2.05 .0007 1 0.92 2.01 .0008 1 0.92 1.94 .0009 2 0.92 1.88 .0010 3 0.92 1.90 .0011 1 0.92 1.84 .0012 1 0.93 1.67 .0013 3 0.93 1.68 .0014 3 0.93 1.59 .0015 1 0.93 1.62 .0016 3 0.93 1.61 .0017 4 0.93 1.45 .0018 4 0.93 1.48 .0019 5 0.93 1.38 .0020 3 0.93 1.42 .0021 1 0.93 1.33 .0022 1 0.93 1.33 .0023 1 0.93 1.28 .0024 3 0.93 1.34 .0025 2 0.93 1.26 .0026 1 0.93 1.27 .0027 2 0.93 1.28 .0028 2 0.93 1.35 .0029 3 0.93 1.31 .0030 1 0.93 1.37 .0031 3 0.93 1.41 .0032 2 0.93 1.51 .0033 2 0.93 1.63 .0034 1 0.93 1.61 .0035 1 0.93 1.72 .0036 1 0.93 1.77 .0037 1 0.93 1.83 .0038 1 0.93 1.70 .0039 3 0.93 1.87 .0040 1 0.93 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2.78 .0374 1 0.97 2.70 .0375 1 0.97 2.80 .0376 1 0.97 2.73 .0377 1 0.97 2.75 .0378 2 0.97 2.82 .0379 2 0.97 2.77 .0380 2 0.97 2.67 .0381 3 0.97 2.81 .0382 2 0.97 2.86 .0383 2 0.97 2.75 .0384 1 0.97 2.75 .0385 1 0.97 2.77 .0386 1 0.97 2.79 .0387 3 0.97 2.85 .0388 1 0.97 2.79 .0389 2 0.97 2.80 .0390 2 0.97 2.68 .0391 2 0.97 2.81 .0392 1 0.97 2.73 .0393 2 0.97 2.80 .0394 1 0.97 2.82 .0395 1 0.97 2.78 .0396 3 0.97 2.85 .0397 5 0.97 2.75 .0398 1 0.97 2.73 .0399 1 0.97 2.75 .0400 1 0.97 2.60 .0401 1 0.97 2.67 .0402 1 0.97 2.72 .0403 1 0.97 2.69 .0404 2 0.97 2.79 .0405 2 0.97 2.76 .0406 2 0.97 2.71 .0407 2 0.97 2.63 .0408 3 0.97 2.71 .0409 2 0.97 2.58 .0410 2 0.97 2.90 .0411 2 0.97 2.71 .0412 2 0.97 2.84 .0413 4 0.97 2.74 .0414 1 0.97 2.84 .0415 2 0.97 2.68 .0416 1 0.97 2.81 .0417 2 0.97 2.86 .0418 1 0.97 2.78 .0419 2 0.97 2.76 .0420 2 0.97 2.78 .0421 1 0.97 2.83 .0422 2 0.97 2.80 .0423 2 0.98 2.94 .0424 2 0.98 2.74 .0425 1 0.98 2.84 .0426 3 0.98 2.91 .0427 2 0.98 2.80 .0428 5 0.98 2.85 .0429 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1.56 .1817 2 0.99 1.65 .1818 2 0.99 1.67 .1819 3 0.99 1.63 .1820 1 0.99 1.57 .1821 3 0.99 1.58 .1822 1 0.99 1.53 .1823 3 0.99 1.59 .1824 2 0.99 1.85 .1825 2 0.99 1.72 .1826 3 0.99 1.61 .1827 3 0.99 1.63 .1828 1 0.99 1.62 .1829 2 0.99 1.68 .1830 2 0.99 1.62 .1831 1 0.99 1.61 .1832 2 0.99 1.75 .1833 3 0.99 1.64 .1834 2 0.99 1.65 .1835 2 0.99 1.77 .1836 3 0.99 1.70 .1837 1 0.99 1.67 .1838 3 0.99 1.56 .1839 6 0.99 1.60 .1840 3 0.99 1.73 .1841 2 0.99 1.68 .1842 3 0.99 1.65 .1843 2 0.99 1.74 .1844 1 0.99 1.84 .1845 1 0.99 1.57 .1846 2 0.99 1.66 .1847 3 0.99 1.61 .1848 3 0.99 1.62 .1849 3 0.99 1.59 .1850 3 0.99 1.65 .1851 3 0.99 1.67 .1852 3 0.99 1.56 .1853 2 0.99 1.66 .1854 2 0.99 1.57 .1855 2 0.99 1.64 .1856 3 0.99 1.58 .1857 4 0.99 1.71 .1858 5 0.99 1.54 .1859 3 0.99 1.62 .1860 3 0.99 1.52 .1861 2 0.99 1.60 .1862 3 0.99 1.57 .1863 3 0.99 1.63 .1864 1 0.99 1.67 .1865 1 0.99 1.46 .1866 1 0.99 1.59 .1867 3 0.99 1.46 .1868 2 0.99 1.51 .1869 2 0.99 1.64 .1870 1 0.99 1.52 .1871 1 0.99 1.44 .1872 3 0.99 1.57 .1873 1 0.99 1.53 .1874 3 0.99 1.52 .1875 2 0.99 1.54 .1876 1 0.99 1.43 .1877 3 0.99 1.40 .1878 2 0.99 1.50 .1879 2 0.99 1.43 .1880 2 0.99 1.48 .1881 1 0.99 1.40 .1882 3 0.99 1.35 .1883 2 0.99 1.32 .1884 2 0.99 1.36 .1885 3 0.99 1.33 .1886 1 0.99 1.23 .1887 2 0.99 1.32 .1888 2 0.99 1.28 .1889 2 0.99 1.39 .1890 2 0.99 1.38 .1891 1 0.99 1.30 .1892 3 0.99 1.35 .1893 3 0.99 1.32 .1894 1 0.99 1.39 .1895 1 0.99 1.33 .1896 1 0.99 1.38 .1897 2 0.99 1.39 .1898 1 0.99 1.44 .1899 3 0.99 1.41 .1900 2 0.99 1.40 .1901 3 0.99 1.42 .1902 3 0.99 1.45 .1903 1 0.99 1.48 .1904 1 0.99 1.41 .1905 2 0.99 1.53 .1906 1 0.99 1.40 .1907 1 0.99 1.43 .1908 1 0.99 1.45 .1909 1 0.99 1.57 .1910 1 0.99 1.47 .1911 3 0.99 1.44 .1912 3 0.99 1.56 .1913 3 0.99 1.39 .1914 1 0.99 1.49 .1915 1 0.99 1.37 .1916 1 0.99 1.41 .1917 1 0.99 1.45 .1918 2 0.99 1.39 .1919 1 0.99 1.47 .1920 1 0.99 1.39 .1921 1 0.99 1.45 .1922 1 0.99 1.47 .1923 3 0.99 1.45 .1924 1 0.99 1.47 .1925 1 0.99 1.46 .1926 1 0.99 1.41 .1927 1 0.99 1.39 .1928 1 0.99 1.45 .1929 3 0.99 1.56 .1930 3 0.99 1.40 .1931 2 0.99 1.50 .1932 1 0.99 1.50 .1933 2 0.99 1.52 .1934 2 0.99 1.44 .1935 1 0.99 1.45 .1936 1 0.99 1.43 .1937 1 0.99 1.49 .1938 3 0.99 1.48 .1939 4 0.99 1.52 .1940 3 0.99 1.42 .1941 1 0.99 1.38 .1942 1 0.99 1.43 .1943 3 0.99 1.45 .1944 3 0.99 1.46 .1945 2 0.99 1.42 .1946 2 0.99 1.52 .1947 1 0.99 1.44 .1948 1 0.99 1.40 .1949 1 0.99 1.36 .1950 1 0.99 1.31 .1951 4 0.99 1.32 .1952 4 0.99 1.49 .1953 1 0.99 1.43 .1954 1 0.99 1.31 .1955 1 0.99 1.41 .1956 1 0.99 1.46 .1957 1 0.99 1.38 .1958 1 0.99 1.36 .1959 1 0.99 1.36 .1960 1 0.99 1.35 .1961 1 0.99 1.37 .1962 1 0.99 1.24 .1963 1 0.99 1.26 .1964 3 0.99 1.37 .1965 3 0.99 1.28 .1966 1 0.99 1.26 .1967 1 0.99 1.31 .1968 1 0.99 1.41 .1969 1 0.99 1.38 .1970 4 0.99 1.33 .1971 4 0.99 1.33 .1972 3 0.99 1.40 .1973 4 0.99 1.43 .1974 3 0.99 1.39 .1975 1 0.99 1.37 .1976 3 0.99 1.39 .1977 4 0.99 1.33 .1978 2 0.99 1.42 .1979 5 0.99 1.43 .1980 2 0.99 1.36 .1981 2 0.99 1.38 .1982 3 0.99 1.36 .1983 1 0.99 1.43 .1984 3 0.99 1.44 .1985 4 0.99 1.40 .1986 4 0.99 1.49 .1987 3 0.99 1.57 .1988 3 0.99 1.55 .1989 1 0.99 1.48 .1990 3 0.99 1.46 .1991 3 0.99 1.49 .1992 4 0.99 1.58 .1993 3 0.99 1.48 .1994 1 0.99 1.48 .1995 1 0.99 1.47 .1996 1 0.99 1.50 .1997 2 0.99 1.53 .1998 3 0.99 1.58 .1999 2 0.99 1.55 .2000 1 1.00 1.53 .2001 1 1.00 1.51 .2002 2 1.00 1.54 .2003 1 1.00 1.50 .2004 1 1.00 1.43 .2005 1 1.00 1.49 .2006 1 1.00 1.42 .2007 1 1.00 1.47 .2008 1 1.00 1.39 .2009 3 1.00 1.36 .2010 1 1.00 1.39 .2011 1 1.00 1.42 .2012 3 1.00 1.33 .2013 1 1.00 1.28 .2014 2 1.00 1.39 .2015 5 1.00 1.28 .2016 3 1.00 1.40 .2017 2 1.00 1.26 .2018 1 1.00 1.41 .2019 1 1.00 1.29 .2020 1 1.00 1.28 .2021 3 1.00 1.29 .2022 4 1.00 1.32 .2023 3 1.00 1.31 .2024 1 1.00 1.40 .2025 1 1.00 1.23 .2026 3 1.00 1.25 .2027 2 1.00 1.28 .2028 2 1.00 1.23 .2029 4 1.00 1.43 .2030 6 1.00 1.34 .2031 1 1.00 1.33 .2032 3 1.00 1.30 .2033 3 1.00 1.31 .2034 1 1.00 1.28 .2035 2 1.00 1.29 .2036 2 1.00 1.42 .2037 1 1.00 1.29 .2038 2 1.00 1.34 .2039 2 1.00 1.38 .2040 4 1.00 1.36 .2041 2 1.00 1.42 .2042 1 1.00 1.36 .2043 5 1.00 1.44 .2044 3 1.00 1.36 .2045 2 1.00 1.47 .2046 2 1.00 1.42 .2047 3 1.00 1.39 EXTRACT_IMAGE: sdR-b1-00034752.fit: masked 2663 pixels DIVIDEFLAT: sdR-b1-00034752.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034752.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034752.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034752.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034752.fit: Warning: Reject 420 low points in trace 279 DIVIDEFLAT: sdR-b1-00034752.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034752.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-b1-00034752.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034752.fit: WARNING: sky shift reference line, sigma 5577.3390 0.067014356 LOCATESKYLINES_2: sdR-b1-00034752.fit: sky shift reference line, offset: 5577.3390 -0.15901881 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 8 1.1858099 25.458057 0.37046736 0.60000000 36.684175 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 17 1.1594370 18.126921 -0.71251636 0.60000000 59.532159 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 28 0.78830527 46.865559 -0.30124986 0.96963002 0.0000000 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 32 1.0491832 29.645678 -1.0000000 0.60000000 31.357934 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 43 1.0994662 34.608778 -0.74391770 0.97276614 30.772589 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 44 0.91007872 44.293177 -1.0000000 0.95911756 27.968729 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 70 1.4093229 55.596695 -1.0000000 0.86424028 25.611074 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 78 0.56628353 38.335015 -0.26718713 1.0721390 0.0000000 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 89 1.7842937 53.886041 -0.16329905 0.87034475 0.0000000 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 95 2.6982794 26.419117 -0.77008092 1.4740375 44.673670 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 101 1.1302596 56.665936 -1.0000000 0.60000000 34.219775 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 123 0.79055861 46.194987 0.072677795 2.0000000 34.281742 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 124 1.9100009 50.685580 0.087383344 0.60000000 27.766977 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 126 0.38081230 47.244312 -0.55789397 0.68187876 40.282206 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 134 0.98656179 48.824161 -1.0000000 0.60000000 37.512922 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 156 0.50532727 59.249657 -0.12765181 0.60000000 12.486079 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 203 0.85276254 58.067374 -0.13916893 0.94116970 0.0000000 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 216 2.3179479 44.606526 -0.36256995 0.60000000 41.559547 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 218 1.8426083 56.225673 -1.0000000 1.1742703 10.906378 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 245 3.4346030 46.390303 -1.0000000 0.60000000 46.620840 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 255 1.4886041 59.163510 -0.56334491 0.60000000 27.848947 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 262 0.32956468 44.439397 -0.68591706 0.60000000 28.401065 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 267 2.6494321 28.134570 -0.84054179 1.2199733 44.018109 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 273 0.58220791 33.357527 -0.43817998 0.78741900 72.166337 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 283 0.61270368 42.539766 -1.0000000 0.98418279 25.885700 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 289 1.3222381 53.429512 -0.99009969 0.60000000 44.475138 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 311 0.81351899 52.220678 -0.82868035 0.88670631 48.950378 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 314 3.3787073 57.764610 -0.85460038 0.60000000 18.281590 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 0 317 1.2393880 52.048150 -0.15785807 2.0000000 25.319490 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: trimmed 1high points: 1.0019351 LOCATESKYLINES_2: sdR-b1-00034752.fit: comb1 l,chi^2/dof,fit: 0 0.19224794 0.0023165412 -0.66851695 1.0106925 0.90247863 LOCATESKYLINES_2: sdR-b1-00034752.fit: kept 53 of 53 points LOCATESKYLINES_2: sdR-b1-00034752.fit: offset, refoff, sigma: -0.827536-0.6685170.139143 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 8 2.6320274 40.462087 0.14497196 0.97684945 92.666285 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 17 0.21954182 16.259468 -0.39531360 1.2554267 120.96214 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 28 1.0865397 44.533162 0.092487288 1.3242632 96.717955 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 32 1.9175787 -3.0113749 -0.47934148 2.0000000 110.82974 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 43 0.55330912 54.704392 -0.25142848 0.97948630 96.996111 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 44 2.7296773 37.580274 -0.75796866 2.0000000 107.99687 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 70 0.43552875 79.577448 -0.59267153 1.1625458 106.14617 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 78 0.78483982 36.301495 -0.81241222 1.8473195 117.65036 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 89 0.33354133 59.113277 -0.36887119 1.6404592 104.79339 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 95 0.46615161 78.625169 -0.73020881 0.96242195 111.03808 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 101 1.3394605 64.658645 -0.51241723 1.5740513 143.52682 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 123 2.4020536 72.991386 -0.35285173 1.5619029 131.40480 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 124 2.6056954 80.749259 -0.55472338 1.1636897 110.62633 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 126 2.0603425 66.642542 -0.58123898 2.0000000 100.20220 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 134 0.53257294 86.025269 -0.32190747 0.98722890 93.007481 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 156 0.68527144 73.691901 -0.47956017 1.6615288 105.29545 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 203 0.67700131 83.828556 -0.24869019 1.1719478 109.62953 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 216 0.18783592 70.101684 -0.25920201 1.4088960 109.63820 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 218 0.37907856 69.462239 -0.26792639 1.1731183 128.70963 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 245 1.2071823 67.033733 -0.11807161 1.5252304 143.76828 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 255 1.3934116 95.529675 -0.028940516 1.1173362 106.21655 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 262 0.40164524 68.854686 -0.58637557 1.2122328 133.75742 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 267 3.0928560 71.161577 -0.23176135 1.2116600 117.21631 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 273 0.46742731 63.546376 0.051008639 0.90228715 123.53030 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 283 1.1135359 72.362716 -0.30906697 1.0675217 117.77456 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 289 1.3489839 67.426380 -0.40254849 1.3321751 139.66657 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 311 4.2541699 68.316976 -0.33859410 1.3146508 143.14092 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 314 0.76891619 91.551998 -0.35805507 0.85721491 144.18691 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 1 317 0.57513207 88.282318 -0.087481260 1.1961096 120.65777 LOCATESKYLINES_2: sdR-b1-00034752.fit: comb1 l,chi^2/dof,fit: 1 1.0935418 0.024508012 -0.30910801 1.2253890 0.96022627 LOCATESKYLINES_2: sdR-b1-00034752.fit: kept 234 of 234 points LOCATESKYLINES_2: sdR-b1-00034752.fit: offset, refoff, sigma: -0.468127-0.3091080.033727 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 8 2.0883904 8.5310712 -0.015018813 1.3779091 214.12314 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 17 1.1010663 12.119549 0.094811004 0.90249808 210.49177 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 28 0.70241161 72.646469 0.020591138 0.95307465 236.43611 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 32 0.56104707 43.948293 -0.28800109 1.0559432 225.23550 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 43 1.4258285 74.040579 -0.23253062 0.99251365 232.07055 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 44 1.0355543 95.640987 -0.0095586214 1.0969742 214.80802 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 70 1.6790780 110.49654 -0.19108780 1.1916522 298.34588 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 78 1.3211508 137.20147 0.032324617 1.1960269 211.31954 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 89 0.86875222 123.22648 -0.31582807 1.0304578 270.59552 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 95 0.26419883 133.54816 0.052885512 0.97922982 226.47578 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 101 2.3603403 145.98451 -0.096358197 0.96087766 274.56977 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 123 2.0736670 177.51865 -0.16197364 0.95266443 229.12919 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 124 1.2893172 144.97439 -0.21479927 1.1976899 202.83273 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 126 0.53347904 131.77273 -0.013232741 1.3368387 228.41542 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 134 0.31910298 119.42521 -0.40984164 1.1844149 267.26975 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 156 0.50072893 177.57358 -0.21993565 0.95334188 255.93223 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 203 2.0517530 148.33991 0.032437539 0.94050621 291.63435 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 216 1.7623119 140.17251 -0.013120459 1.0098935 243.92087 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 218 0.70709068 146.92266 -0.19750867 0.85074277 241.20298 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 245 2.6590006 146.35208 -0.15278853 1.0426299 279.07713 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 255 0.57184993 162.49471 -0.032465880 1.1036128 245.13663 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 262 0.67615485 163.63649 -0.093218675 0.98826127 216.88721 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 267 1.6957921 123.45027 -0.15134575 1.0494550 291.25546 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 273 2.0489811 123.48485 -0.056970195 1.0072860 264.92743 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 283 1.4635889 125.80977 -0.11351678 1.0592424 295.91677 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 289 1.1171069 120.27406 -0.079039842 1.3201962 279.09473 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 311 2.4906754 156.97884 -0.033970470 1.2194769 230.63297 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 314 0.63339230 155.27600 0.11440546 1.1315205 295.39986 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 2 317 2.0994116 164.50648 -0.11342466 1.0716075 277.46868 LOCATESKYLINES_2: sdR-b1-00034752.fit: comb1 l,chi^2/dof,fit: 2 1.2060716 0.0037074691 -0.10835154 1.0704599 0.98434527 LOCATESKYLINES_2: sdR-b1-00034752.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-b1-00034752.fit: offset, refoff, sigma: -0.267370-0.1083520.018367 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 8 3.4530634 5.8822837 -0.15332977 0.95522314 1120.6562 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 17 1.0012404 1.8819832 -0.16271516 1.0110707 1082.0656 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 28 1.6128592 16.992526 -0.16465540 0.96609861 1104.2327 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 32 1.3259139 13.188426 -0.19366623 0.99086282 1108.3638 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 43 1.0214415 55.690516 -0.23170589 1.0311642 980.25422 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 44 1.6074312 62.757333 -0.20819018 1.0012058 1088.6343 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 70 0.36474955 108.84742 -0.16105905 0.96321014 1095.3949 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 78 2.3413575 117.84052 -0.17101600 0.97080728 1113.0148 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 89 0.88180587 132.35170 -0.16533958 0.89318467 1130.5846 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 95 3.2295186 107.13723 -0.19993729 0.96311322 1116.6810 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 101 2.5483075 133.32361 -0.12839827 0.92674928 1173.2821 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 123 0.71778900 160.33309 -0.16840108 0.92262315 1180.2734 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 124 2.2019204 148.23365 -0.098288153 0.93112151 1072.1529 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 126 0.61765186 139.31009 -0.13250187 0.99227311 1078.3804 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 134 1.7514237 148.20866 -0.13486695 0.91343310 1160.6926 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 156 0.61795444 148.28610 -0.15619453 0.93788528 1146.8957 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 203 2.2770591 123.18220 -0.13027789 0.96889416 1101.7818 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 216 1.8720260 136.02896 -0.13461095 0.97605913 1079.4055 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 218 2.5222451 131.11983 -0.12858077 0.96951525 1112.8291 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 245 1.4510482 155.61125 -0.15139732 0.95600119 1127.8360 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 255 2.1956002 152.62431 -0.068341847 0.96307480 1085.8683 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 262 1.7258449 117.88865 -0.061223604 1.0416041 1054.2527 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 267 0.76939118 131.86682 -0.14897920 0.96156003 1054.6408 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 273 1.8378356 121.27458 -0.14159369 0.96259525 1120.6078 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 283 1.6148194 130.03220 -0.11830217 0.94656293 1142.6532 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 289 3.1657857 146.83908 -0.13597280 0.89198142 1177.9285 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 311 1.2867430 131.82713 -0.10734049 1.0374195 1065.1622 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 314 1.5662712 169.47468 -0.096770614 0.96201049 1103.7737 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 3 317 1.6763585 166.91374 -0.13937999 0.95332759 1142.0485 LOCATESKYLINES_2: sdR-b1-00034752.fit: comb1 l,chi^2/dof,fit: 3 1.4884700 0.00024593860 -0.14324129 0.95982172 0.99848996 LOCATESKYLINES_2: sdR-b1-00034752.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034752.fit: comb2 l,chi^2/dof,fit: 3 1.4160131 0.00040410592 -0.14555181 0.95847909 0.99779305 LOCATESKYLINES_2: sdR-b1-00034752.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-b1-00034752.fit: offset, refoff, sigma: -0.304571-0.1455520.005378 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 8 11.390821 71.615450 -0.14675737 0.75965443 376.49737 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 17 4.1232126 13.018571 -0.11882305 0.89120765 350.81135 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 28 6.2469678 69.312510 -0.084674422 0.84577680 338.34329 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 32 2.7864211 33.889480 -0.14261492 0.91691333 364.83833 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 43 8.4676918 100.14617 -0.13361641 0.92857272 300.53039 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 44 8.4605424 104.58431 -0.12689980 0.88784049 348.36923 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 70 25.292758 131.50729 -0.087463349 0.76944690 357.51856 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 78 12.623169 133.81753 -0.078671960 0.76739209 338.31238 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 89 8.1295582 104.33945 -0.13128128 0.78740217 445.61844 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 95 15.261359 125.41995 -0.098672751 0.88310871 378.72403 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 101 19.078488 162.68427 -0.11692750 0.84536487 361.30387 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 123 7.8164524 123.03067 0.00084662581 0.81376216 383.69838 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 124 11.025578 115.49603 -0.045903536 0.97902900 324.56829 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 126 12.629902 108.17939 0.028746584 0.90063618 396.80316 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 134 14.829999 111.80996 -0.088036835 0.85329011 362.96063 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 156 15.726117 139.83553 -0.095357347 0.88051702 368.59855 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 203 5.2478206 109.22174 0.0027148761 0.94282268 371.41556 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 216 17.515757 135.75536 -0.15252521 0.77445585 402.09808 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 218 17.941616 134.81281 -0.046118153 0.78632385 350.94587 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 245 15.778674 138.42806 -0.039905853 0.89045954 330.27544 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 255 13.689631 141.38102 -0.059775507 0.85254875 389.22922 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 262 3.1663954 137.22354 -0.032975284 0.93002695 349.36575 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 267 12.377351 141.41386 -0.11852920 0.98996682 349.40453 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 273 5.8782779 103.96377 -0.080390101 0.91155618 384.80184 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 283 23.681060 163.41820 -0.021022903 0.74380488 358.33048 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 289 12.716771 151.10430 0.027787882 0.83366764 380.53246 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 311 10.142029 123.00667 0.021276453 0.98564903 390.01028 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 314 10.600680 168.20294 -0.064789712 0.85819844 369.26583 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 4 317 16.512472 172.11603 -0.012812597 0.80672535 401.12580 LOCATESKYLINES_2: sdR-b1-00034752.fit: comb1 l,chi^2/dof,fit: 4 7.1445569 0.0012708926 -0.070534820 0.85660445 0.99400954 LOCATESKYLINES_2: sdR-b1-00034752.fit: sigma-clipped to 233 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034752.fit: comb2 l,chi^2/dof,fit: 4 1.4898035 -0.064667467 -0.074213699 0.93432859 1.0410783 LOCATESKYLINES_2: sdR-b1-00034752.fit: kept 233 of 261 points LOCATESKYLINES_2: sdR-b1-00034752.fit: offset, refoff, sigma: -0.233233-0.0742140.011237 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 8 35.281664 95.358600 -0.34850290 0.76667868 207.21221 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 17 22.368846 48.993383 -0.16467340 0.79562785 165.21539 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 28 17.369997 80.677272 -0.11930667 0.80329004 209.75736 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 32 24.633796 75.070520 -0.19414651 0.60000000 262.08993 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 43 17.498063 90.119590 0.043417665 0.80674420 201.28965 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 44 22.269848 117.57387 -0.022362474 0.78099434 206.46279 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 70 33.192865 149.15633 -0.10190845 0.60000000 265.61781 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 78 14.900435 114.93167 0.0050350575 0.76298530 260.52871 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 89 38.886655 142.46028 -0.14840665 0.78187742 224.23230 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 95 42.757655 160.09792 -0.16707654 0.60000000 254.32931 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 101 57.493719 172.94061 -0.16039815 0.60000000 290.71189 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 123 19.062525 136.20663 -0.30831929 0.80299014 239.41706 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 124 24.214497 140.73902 -0.12302166 0.80821173 189.19707 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 126 24.026927 131.45976 -0.10763786 0.79164131 232.61349 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 134 28.428532 122.79188 0.045597749 0.74621244 249.28585 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 156 30.257695 156.41532 -0.11020540 0.82301229 234.00744 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 203 28.626019 155.38019 -0.085256614 0.68447608 181.93375 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 216 53.289249 160.10975 -0.10213796 0.60000000 247.40449 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 218 11.491924 125.15546 -0.022212307 0.82129649 232.37251 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 245 17.984338 139.36565 -0.15010473 0.82470411 236.35458 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 255 29.038840 157.20503 -0.060957717 0.75092317 272.41641 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 262 26.997691 163.00031 -0.21317154 0.67186518 213.76107 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 267 22.288359 136.25918 0.026714447 0.87893557 214.75191 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 273 40.750947 144.06001 -0.20623779 0.78568266 217.55193 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 283 35.801133 161.66451 -0.051269875 0.72710452 263.31485 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 289 14.779982 138.39076 -0.079733044 0.79622432 243.78166 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 311 34.892964 150.32517 -0.13888439 0.79914362 223.86802 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 314 24.583560 156.54448 -0.035304212 0.80409051 235.74661 LOCATESKYLINES_2: sdR-b1-00034752.fit: l,f,chi^2/dof,c: 5 317 42.959970 193.51369 -0.12329407 0.60000000 247.64911 LOCATESKYLINES_2: sdR-b1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034752.fit: trimmed 1high points: -0.099758449 LOCATESKYLINES_2: sdR-b1-00034752.fit: comb1 l,chi^2/dof,fit: 5 11.442009 -0.00042997011 -0.093913877 0.80000000 0.98236045 LOCATESKYLINES_2: sdR-b1-00034752.fit: sigma-clipped to 181 of 206 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034752.fit: comb2 l,chi^2/dof,fit: 5 1.4598590 -0.14704011 -0.087155620 0.93505663 1.1085045 LOCATESKYLINES_2: sdR-b1-00034752.fit: kept 181 of 206 points LOCATESKYLINES_2: sdR-b1-00034752.fit: offset, refoff, sigma: -0.246174-0.0871560.017812 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 6373.0208 DOF = 1542 P(0) = 23.6602 P(1) = 0.00000 P(2) = 23.6602 P(3) = 23.6602 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 1979.0550 DOF = 1542 P(0) = 46.2930 P(1) = 5.92982E-05 P(2) = 48.0144 P(3) = 26.9977 P(4) = 0.000130000 P(5) = -0.120809 Iter 3 CHI-SQUARE = 1975.8380 DOF = 1542 P(0) = 45.6717 P(1) = 3.74856E-05 P(2) = 50.4617 P(3) = 29.0739 P(4) = 0.000130000 P(5) = -0.150446 Iter 4 CHI-SQUARE = 1971.4930 DOF = 1542 P(0) = 46.0511 P(1) = 3.93533E-05 P(2) = 51.8113 P(3) = 29.2402 P(4) = 0.000130000 P(5) = -0.129559 Iter 5 CHI-SQUARE = 1971.1615 DOF = 1542 P(0) = 46.1646 P(1) = 3.89470E-05 P(2) = 51.9740 P(3) = 29.2325 P(4) = 0.000130000 P(5) = -0.119788 Iter 6 CHI-SQUARE = 1971.1613 DOF = 1542 P(0) = 46.1633 P(1) = 3.88857E-05 P(2) = 51.9786 P(3) = 29.2285 P(4) = 0.000130000 P(5) = -0.120030 Iter 7 CHI-SQUARE = 1971.1613 DOF = 1542 P(0) = 46.1639 P(1) = 3.88510E-05 P(2) = 51.9833 P(3) = 29.2268 P(4) = 0.000130000 P(5) = -0.120036 Iter 8 CHI-SQUARE = 1971.1613 DOF = 1542 P(0) = 46.1655 P(1) = 3.88585E-05 P(2) = 51.9870 P(3) = 29.2260 P(4) = 0.000130000 P(5) = -0.119985 Iter 9 CHI-SQUARE = 1971.1613 DOF = 1542 P(0) = 46.1656 P(1) = 3.88526E-05 P(2) = 51.9876 P(3) = 29.2256 P(4) = 0.000130000 P(5) = -0.119978 Iter 10 CHI-SQUARE = 1971.1613 DOF = 1542 P(0) = 46.1654 P(1) = 3.88556E-05 P(2) = 51.9875 P(3) = 29.2253 P(4) = 0.000130000 P(5) = -0.119977 Iter 10 CHI-SQUARE = 1971.1613 DOF = 1542 P(0) = 46.1654 P(1) = 3.88556E-05 P(2) = 51.9875 P(3) = 29.2253 P(4) = 0.000130000 P(5) = -0.119977 FITMOONPLUSLINE: sdR-b1-00034752.fit: fit coeffs: 46.165412 3.8855555e-05 51.987471 29.225315 0.00013000000 -0.11997695 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034752.fit: changing 4046.58 correction from -0.827536 to -0.35161578 pixels, err= 0.083495986 Iter 1 CHI-SQUARE = 24698.695 DOF = 3198 P(0) = 34.5437 P(1) = 0.00000 P(2) = 34.5437 P(3) = 34.5437 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 6405.7772 DOF = 3198 P(0) = 68.3565 P(1) = 9.35959E-05 P(2) = 66.9181 P(3) = 102.341 P(4) = 0.000130000 P(5) = 0.194697 Iter 3 CHI-SQUARE = 6199.4182 DOF = 3198 P(0) = 68.2989 P(1) = 4.85908E-05 P(2) = 64.5568 P(3) = 105.262 P(4) = 0.000130000 P(5) = 0.203188 Iter 4 CHI-SQUARE = 6195.4069 DOF = 3198 P(0) = 68.2899 P(1) = 4.44203E-05 P(2) = 66.8338 P(3) = 107.237 P(4) = 0.000130000 P(5) = 0.187399 Iter 5 CHI-SQUARE = 6194.5521 DOF = 3198 P(0) = 68.2194 P(1) = 4.42560E-05 P(2) = 66.7305 P(3) = 107.165 P(4) = 0.000130000 P(5) = 0.194228 Iter 6 CHI-SQUARE = 6194.5320 DOF = 3198 P(0) = 68.2179 P(1) = 4.47872E-05 P(2) = 66.7313 P(3) = 107.159 P(4) = 0.000130000 P(5) = 0.194223 Iter 7 CHI-SQUARE = 6194.5309 DOF = 3198 P(0) = 68.2224 P(1) = 4.46910E-05 P(2) = 66.7282 P(3) = 107.171 P(4) = 0.000130000 P(5) = 0.194266 Iter 8 CHI-SQUARE = 6194.5309 DOF = 3198 P(0) = 68.2224 P(1) = 4.46910E-05 P(2) = 66.7282 P(3) = 107.171 P(4) = 0.000130000 P(5) = 0.194266 FITMOONPLUSLINE: sdR-b1-00034752.fit: fit coeffs: 68.222382 4.4690956e-05 66.728158 107.17138 0.00013000000 0.19426570 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034752.fit: changing 4358.33 correction from -0.468127 to -0.41266722 pixels, err= 0.031079135 Iter 1 CHI-SQUARE = 18527.718 DOF = 1069 P(0) = 70.7359 P(1) = 0.00000 P(2) = 70.7359 P(3) = 70.7359 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 5585.2857 DOF = 1069 P(0) = 128.804 P(1) = 0.000104966 P(2) = 162.123 P(3) = 204.081 P(4) = 0.000130000 P(5) = 0.178507 Iter 3 CHI-SQUARE = 5185.5749 DOF = 1069 P(0) = 125.578 P(1) = 3.15126E-05 P(2) = 128.678 P(3) = 189.952 P(4) = 0.000130000 P(5) = 1.27227 Iter 4 CHI-SQUARE = 4580.7059 DOF = 1069 P(0) = 127.981 P(1) = 2.99497E-05 P(2) = 120.614 P(3) = 210.858 P(4) = 0.000130000 P(5) = 0.192383 Iter 5 CHI-SQUARE = 4580.6532 DOF = 1069 P(0) = 128.068 P(1) = 3.02309E-05 P(2) = 121.720 P(3) = 210.856 P(4) = 0.000130000 P(5) = 0.188250 Iter 6 CHI-SQUARE = 4580.6316 DOF = 1069 P(0) = 128.070 P(1) = 3.02045E-05 P(2) = 122.243 P(3) = 210.730 P(4) = 0.000130000 P(5) = 0.194853 Iter 7 CHI-SQUARE = 4580.6294 DOF = 1069 P(0) = 128.080 P(1) = 3.02251E-05 P(2) = 122.299 P(3) = 210.730 P(4) = 0.000130000 P(5) = 0.195233 Iter 8 CHI-SQUARE = 4580.6260 DOF = 1069 P(0) = 128.070 P(1) = 3.02487E-05 P(2) = 122.353 P(3) = 210.721 P(4) = 0.000130000 P(5) = 0.195439 Iter 9 CHI-SQUARE = 4580.6234 DOF = 1069 P(0) = 128.095 P(1) = 3.02954E-05 P(2) = 122.422 P(3) = 210.728 P(4) = 0.000130000 P(5) = 0.195191 Iter 10 CHI-SQUARE = 4580.6167 DOF = 1069 P(0) = 128.066 P(1) = 3.03388E-05 P(2) = 122.481 P(3) = 210.705 P(4) = 0.000130000 P(5) = 0.195130 Iter 11 CHI-SQUARE = 4580.6167 DOF = 1069 P(0) = 128.066 P(1) = 3.03387E-05 P(2) = 122.478 P(3) = 210.706 P(4) = 0.000130000 P(5) = 0.195120 Iter 12 CHI-SQUARE = 4580.6167 DOF = 1069 P(0) = 128.066 P(1) = 3.03388E-05 P(2) = 122.478 P(3) = 210.706 P(4) = 0.000130000 P(5) = 0.195119 Iter 13 CHI-SQUARE = 4580.6167 DOF = 1069 P(0) = 128.066 P(1) = 3.03391E-05 P(2) = 122.477 P(3) = 210.706 P(4) = 0.000130000 P(5) = 0.195118 Iter 14 CHI-SQUARE = 4580.6167 DOF = 1069 P(0) = 128.066 P(1) = 3.03393E-05 P(2) = 122.477 P(3) = 210.706 P(4) = 0.000130000 P(5) = 0.195117 Iter 15 CHI-SQUARE = 4580.6167 DOF = 1069 P(0) = 128.066 P(1) = 3.03398E-05 P(2) = 122.476 P(3) = 210.706 P(4) = 0.000130000 P(5) = 0.195115 Iter 16 CHI-SQUARE = 4580.6166 DOF = 1069 P(0) = 128.066 P(1) = 3.03408E-05 P(2) = 122.475 P(3) = 210.706 P(4) = 0.000130000 P(5) = 0.195111 Iter 17 CHI-SQUARE = 4580.6164 DOF = 1069 P(0) = 128.066 P(1) = 3.03427E-05 P(2) = 122.472 P(3) = 210.707 P(4) = 0.000130000 P(5) = 0.195101 Iter 18 CHI-SQUARE = 4580.6161 DOF = 1069 P(0) = 128.066 P(1) = 3.03465E-05 P(2) = 122.471 P(3) = 210.707 P(4) = 0.000130000 P(5) = 0.195089 Iter 19 CHI-SQUARE = 4580.6158 DOF = 1069 P(0) = 128.066 P(1) = 3.03502E-05 P(2) = 122.469 P(3) = 210.709 P(4) = 0.000130000 P(5) = 0.195080 Iter 20 CHI-SQUARE = 4580.6158 DOF = 1069 P(0) = 128.066 P(1) = 3.03502E-05 P(2) = 122.469 P(3) = 210.709 P(4) = 0.000130000 P(5) = 0.195080 FITMOONPLUSLINE: sdR-b1-00034752.fit: fit coeffs: 128.06633 3.0350235e-05 122.46944 210.70906 0.00013000000 0.19507964 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034752.fit: changing 5460.94 correction from -0.267370 to -0.31371271 pixels, err= 0.023269861 LOCATESKYLINES_2: sdR-b1-00034752.fit: applying -0.01 pixel correction to -0.23 -0.25 0.62 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 FITMEANX: sdR-b1-00034752.fit: In skyline number 0 std-dev is 0.18723513 pix FITMEANX: sdR-b1-00034752.fit: In skyline number 1 std-dev is 0.13904823 pix FITMEANX: sdR-b1-00034752.fit: In skyline number 2 std-dev is 0.074024289 pix FITMEANX: sdR-b1-00034752.fit: In skyline number 3 std-dev is 0.028480082 pix FITMEANX: sdR-b1-00034752.fit: In skyline number 4 std-dev is 0.036864221 pix FITMEANX: sdR-b1-00034752.fit: In skyline number 5 std-dev is 0.081629511 pix LOCATESKYLINES_2: sdR-b1-00034752.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034752.fit: In sky feature at 4046.5600 coadded std-dev is 0.0834960 pix LOCATESKYLINES_2: sdR-b1-00034752.fit: In sky feature at 4358.3300 coadded std-dev is 0.0310791 pix LOCATESKYLINES_2: sdR-b1-00034752.fit: In sky feature at 5460.9400 coadded std-dev is 0.0232699 pix LOCATESKYLINES_2: sdR-b1-00034752.fit: In sky feature at 5577.3390 coadded std-dev is 0.00537809 pix LOCATESKYLINES_2: sdR-b1-00034752.fit: In sky feature at 5889.9500 coadded std-dev is 0.0112366 pix LOCATESKYLINES_2: sdR-b1-00034752.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034752.fit: Median arc shift = -0.33655050 pix LOCATESKYLINES_2: sdR-b1-00034752.fit: Dispersion in arc shift = 0.070513520 pix LOCATESKYLINES_2: sdR-b1-00034752.fit: Maximum sky-line shift is 0.44780366 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Number of sky fibers = 29 ROW NITER SIG(med) CHI^2 .0000 4 0.91 0.49 .0001 2 0.91 0.24 .0002 1 0.91 0.24 .0003 1 0.91 0.27 .0004 1 0.91 0.27 .0005 1 0.91 0.26 .0006 1 0.91 0.38 .0007 10 0.91 0.16 .0008 1 0.91 0.13 .0009 1 0.91 0.32 .0010 1 0.91 0.16 .0011 1 0.91 0.28 .0012 2 0.91 0.28 .0013 1 0.91 0.31 .0014 1 0.91 0.24 .0015 1 0.91 0.15 .0016 1 0.91 0.53 .0017 1 0.91 0.11 .0018 4 0.91 0.48 .0019 3 0.91 0.43 .0020 1 0.91 0.54 .0021 1 0.91 0.30 .0022 1 0.91 0.33 .0023 1 0.91 0.30 .0024 4 0.91 0.50 .0025 1 0.91 0.28 .0026 1 0.91 0.13 .0027 1 0.91 0.28 .0028 1 0.91 0.12 .0029 5 0.91 0.53 .0030 1 0.91 0.50 .0031 1 0.91 0.19 .0032 1 0.91 0.16 .0033 3 0.91 0.32 .0034 1 0.91 0.26 .0035 1 0.91 0.27 .0036 9 0.91 0.26 .0037 1 0.91 0.62 .0038 2 0.91 0.39 .0039 1 0.91 0.24 .0040 1 0.93 0.23 .0041 1 0.93 0.27 .0042 1 0.93 0.35 .0043 1 0.93 0.14 .0044 1 0.93 0.14 .0045 1 0.93 0.32 .0046 1 0.93 0.22 .0047 1 0.93 0.45 .0048 1 0.93 0.46 .0049 1 0.93 0.18 .0050 1 0.93 0.33 .0051 1 0.93 0.41 .0052 1 0.93 0.34 .0053 1 0.93 0.42 .0054 1 0.93 0.27 .0055 2 0.93 0.43 .0056 1 0.93 0.31 .0057 1 0.93 0.46 .0058 2 0.93 0.39 .0059 1 0.93 0.22 .0060 1 0.89 0.16 .0061 1 0.89 0.11 .0062 1 0.89 0.13 .0063 1 0.89 0.13 .0064 1 0.89 0.19 .0065 1 0.89 0.13 .0066 1 0.89 0.60 .0067 1 0.89 0.15 .0068 1 0.89 0.14 .0069 1 0.89 0.14 .0070 1 0.89 0.16 .0071 3 0.89 0.47 .0072 1 0.89 0.10 .0073 1 0.89 0.19 .0074 1 0.89 0.13 .0075 1 0.89 0.15 .0076 1 0.89 0.42 .0077 2 0.89 0.63 .0078 1 0.89 0.15 .0079 3 0.89 0.39 .0080 1 0.87 0.43 .0081 1 0.87 0.32 .0082 1 0.87 0.33 .0083 2 0.87 0.35 .0084 2 0.87 0.26 .0085 1 0.87 0.17 .0086 1 0.87 0.37 .0087 1 0.87 0.37 .0088 1 0.87 0.28 .0089 1 0.87 0.16 .0090 0 0.87 0.00 .0091 1 0.87 0.09 .0092 1 0.87 0.24 .0093 1 0.87 0.49 .0094 10 0.87 0.35 .0095 1 0.87 0.16 .0096 1 0.87 0.38 .0097 1 0.87 0.30 .0098 1 0.87 0.36 .0099 2 0.87 0.49 .0100 1 0.86 0.13 .0101 1 0.86 0.16 .0102 2 0.86 0.14 .0103 1 0.86 0.16 .0104 1 0.86 0.15 .0105 1 0.86 0.15 .0106 1 0.86 0.13 .0107 1 0.86 0.14 .0108 1 0.86 0.15 .0109 1 0.86 0.14 .0110 1 0.86 0.13 .0111 1 0.86 0.18 .0112 1 0.86 0.14 .0113 1 0.86 0.15 .0114 1 0.86 0.17 .0115 1 0.86 0.14 .0116 1 0.86 0.16 .0117 1 0.86 0.14 .0118 1 0.86 0.15 .0119 1 0.86 0.13 .0120 1 0.88 0.42 .0121 2 0.88 0.24 .0122 1 0.88 0.21 .0123 1 0.88 0.17 .0124 1 0.88 0.12 .0125 3 0.88 0.53 .0126 1 0.88 0.11 .0127 1 0.88 0.34 .0128 1 0.88 0.36 .0129 1 0.88 0.23 .0130 1 0.88 0.53 .0131 1 0.88 0.50 .0132 1 0.88 0.45 .0133 9 0.88 0.18 .0134 1 0.88 0.15 .0135 2 0.88 0.41 .0136 1 0.88 0.37 .0137 10 0.88 0.17 .0138 1 0.88 0.38 .0139 4 0.88 0.73 .0140 1 0.87 0.11 .0141 1 0.87 0.13 .0142 1 0.87 0.13 .0143 1 0.87 0.15 .0144 1 0.87 0.14 .0145 1 0.87 0.13 .0146 1 0.87 0.13 .0147 1 0.87 0.12 .0148 1 0.87 0.13 .0149 1 0.87 0.40 .0150 1 0.87 0.12 .0151 1 0.87 0.14 .0152 1 0.87 0.11 .0153 1 0.87 0.15 .0154 1 0.87 0.16 .0155 1 0.87 0.16 .0156 1 0.87 0.18 .0157 1 0.87 0.14 .0158 1 0.87 0.16 .0159 1 0.87 0.11 .0160 1 0.87 0.15 .0161 1 0.87 0.13 .0162 1 0.87 0.15 .0163 1 0.87 0.14 .0164 1 0.87 0.15 .0165 1 0.87 0.18 .0166 1 0.87 0.15 .0167 1 0.87 0.15 .0168 1 0.87 0.16 .0169 1 0.87 0.14 .0170 1 0.87 0.18 .0171 2 0.87 0.16 .0172 1 0.87 0.18 .0173 1 0.87 0.13 .0174 1 0.87 0.12 .0175 1 0.87 0.16 .0176 1 0.87 0.14 .0177 1 0.87 0.15 .0178 1 0.87 0.17 .0179 1 0.87 0.16 .0180 1 0.88 0.50 .0181 1 0.88 0.12 .0182 1 0.88 0.14 .0183 1 0.88 0.13 .0184 1 0.88 0.13 .0185 1 0.88 0.14 .0186 1 0.88 0.15 .0187 1 0.88 0.13 .0188 1 0.88 0.12 .0189 1 0.88 0.13 .0190 1 0.88 0.12 .0191 1 0.88 0.16 .0192 1 0.88 0.13 .0193 1 0.88 0.11 .0194 1 0.88 0.30 .0195 1 0.88 0.11 .0196 1 0.88 0.13 .0197 2 0.88 0.33 .0198 1 0.88 0.13 .0199 1 0.88 0.14 .0200 1 0.89 0.35 .0201 1 0.89 0.53 .0202 1 0.89 0.31 .0203 1 0.89 0.11 .0204 1 0.89 0.27 .0205 1 0.89 0.21 .0206 1 0.89 0.14 .0207 2 0.89 0.41 .0208 1 0.89 0.16 .0209 1 0.89 0.35 .0210 2 0.89 0.37 .0211 7 0.89 0.40 .0212 1 0.89 0.27 .0213 1 0.89 0.31 .0214 1 0.89 0.39 .0215 1 0.89 0.28 .0216 1 0.89 0.15 .0217 3 0.89 0.54 .0218 1 0.89 0.14 .0219 3 0.89 0.60 .0220 4 0.88 0.50 .0221 1 0.88 0.11 .0222 1 0.88 0.48 .0223 1 0.88 0.12 .0224 4 0.88 0.57 .0225 1 0.88 0.39 .0226 1 0.88 0.61 .0227 1 0.88 0.57 .0228 8 0.88 0.25 .0229 1 0.88 0.17 .0230 1 0.88 0.12 .0231 2 0.88 0.62 .0232 1 0.88 0.17 .0233 1 0.88 0.14 .0234 1 0.88 0.14 .0235 1 0.88 0.17 .0236 1 0.88 0.14 .0237 1 0.88 0.14 .0238 1 0.88 0.15 .0239 3 0.88 0.23 .0240 1 0.89 0.26 .0241 4 0.89 0.44 .0242 1 0.89 0.13 .0243 1 0.89 0.24 .0244 1 0.89 0.26 .0245 1 0.89 0.16 .0246 1 0.89 0.23 .0247 1 0.89 0.22 .0248 1 0.89 0.17 .0249 1 0.89 0.35 .0250 1 0.89 0.28 .0251 0 0.89 0.00 .0252 1 0.89 0.25 .0253 3 0.89 0.52 .0254 1 0.89 0.27 .0255 1 0.89 0.13 .0256 1 0.89 0.24 .0257 1 0.89 0.31 .0258 1 0.89 0.30 .0259 1 0.89 0.20 .0260 1 0.91 0.24 .0261 1 0.91 0.26 .0262 1 0.91 0.10 .0263 1 0.91 0.26 .0264 9 0.91 0.24 .0265 6 0.91 0.39 .0266 1 0.91 0.15 .0267 1 0.91 0.14 .0268 1 0.91 0.34 .0269 2 0.91 0.54 .0270 1 0.91 0.50 .0271 1 0.91 0.41 .0272 4 0.91 0.73 .0273 1 0.91 0.15 .0274 2 0.91 0.38 .0275 2 0.91 0.42 .0276 7 0.91 0.36 .0277 1 0.91 0.30 .0278 1 0.91 0.60 .0279 1 0.91 0.15 .0280 1 0.90 0.37 .0281 1 0.90 0.22 .0282 1 0.90 0.23 .0283 1 0.90 0.13 .0284 1 0.90 0.17 .0285 1 0.90 0.22 .0286 1 0.90 0.14 .0287 1 0.90 0.16 .0288 1 0.90 0.22 .0289 1 0.90 0.14 .0290 4 0.90 0.26 .0291 1 0.90 0.28 .0292 1 0.90 0.12 .0293 1 0.90 0.17 .0294 0 0.90 0.00 .0295 2 0.90 0.28 .0296 1 0.90 0.16 .0297 1 0.90 0.27 .0298 1 0.90 0.21 .0299 1 0.90 0.17 .0300 1 0.90 0.22 .0301 1 0.90 0.14 .0302 1 0.90 0.16 .0303 9 0.90 0.20 .0304 1 0.90 0.16 .0305 1 0.90 0.26 .0306 1 0.90 0.22 .0307 1 0.90 0.41 .0308 1 0.90 0.13 .0309 1 0.90 0.22 .0310 2 0.90 0.42 .0311 1 0.90 0.14 .0312 1 0.90 0.37 .0313 4 0.90 0.37 .0314 1 0.90 0.12 .0315 2 0.90 0.48 .0316 2 0.90 0.29 .0317 1 0.90 0.15 .0318 1 0.90 0.24 .0319 1 0.90 0.17 EXTRACT_IMAGE: sdR-b1-00034752.fit: masked 234 pixels SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 0 median sigma(arc)= 0.90158255 sigma(sky)= -377.01714 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 0 sigma^2(add)= 132309.60 +/- 164441.58 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 1 median sigma(arc)= 0.90169328 sigma(sky)= -281.23644 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 1 sigma^2(add)= 66661.810 +/- 265536.04 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 2 median sigma(arc)= 0.91137882 sigma(sky)= 1.0698197 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 2 sigma^2(add)= 0.31389995 +/- 0.17813123 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 3 median sigma(arc)= 0.91698511 sigma(sky)= 1.0257927 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 3 sigma^2(add)= 0.17110542 +/- 0.37040220 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 4 median sigma(arc)= 1.0317262 sigma(sky)= 1.4513908 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 4 sigma^2(add)= 1.0288941 +/- 1.4586422 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 5 median sigma(arc)= 1.0889022 sigma(sky)= 111.38790 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Line # 5 sigma^2(add)= 34487.292 +/- 108845.49 SKYLINE_DISPERSION: sdR-b1-00034752.fit: Flexure sigma^2(add) = 0.11617158 +/- 0.21589249 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034752.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b1-00034752.fit: Heliocentric correction = 23.241952 km/s FITVACSET: sdR-b1-00034752.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034752.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034752.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034752.fit: Number of pixels rejected: 1 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034752.fit: Number of sky fibers = 28 SKYSUBTRACT: sdR-b1-00034752.fit: Airmass range = 1.12575 1.15180 SKYSUBTRACT: sdR-b1-00034752.fit: Discarding 0.00552804 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034752.fit: Median sky-residual chi2 = 2.69273 SKYSUBTRACT: sdR-b1-00034752.fit: Max sky-residual chi2 = 11.8031 EXTRACT_OBJECT: sdR-b1-00034752.fit: Calling skysubtract again; masked skyfibers 8 17 28 32 SKYSUBTRACT: sdR-b1-00034752.fit: Number of sky fibers = 24 SKYSUBTRACT: sdR-b1-00034752.fit: Airmass range = 1.12575 1.15180 SKYSUBTRACT: sdR-b1-00034752.fit: Discarding 0.00557454 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 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1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034752.fit: Median sky-residual chi2 = 1.62878 SKYSUBTRACT: sdR-b1-00034752.fit: Max sky-residual chi2 = 5.39477 QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 44 = -47.7704 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 45 = -31.7638 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 79 = -14.6092 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 102 = 12.7582 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 124 = 15.4936 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 157 = 19.2512 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 246 = 15.5354 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 256 = 15.3719 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 268 = -11.3962 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 274 = -13.4054 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 312 = 10.7191 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 315 = 16.0788 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 318 = 19.0276 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Median sky-residual chi = 1.27159 QAPLOT_SKYSUB: sdR-b1-00034752.fit: Max sky-residual chi = 2.26263 at 5497.8463 Ang SKYSUBTRACT: sdR-b1-00034752.fit: Number of sky fibers = 24 SKYSUBTRACT: sdR-b1-00034752.fit: Airmass range = 1.12575 1.15180 SKYSUBTRACT: sdR-b1-00034752.fit: Discarding 0.00557454 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 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of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034752.fit: Median sky-residual chi2 = 1.45204 SKYSUBTRACT: sdR-b1-00034752.fit: Max sky-residual chi2 = 4.95802 QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 44 = -24.6886 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 102 = 18.8755 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 124 = 16.5165 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 157 = 14.1469 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 217 = -10.9495 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 219 = -11.1284 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 268 = -19.5701 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 274 = -21.7887 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 315 = 14.3864 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Warning: Median sky-sub flux in sky fiber 318 = 17.6817 electrons QAPLOT_SKYSUB: sdR-b1-00034752.fit: Median sky-residual chi = 1.20552 QAPLOT_SKYSUB: sdR-b1-00034752.fit: Max sky-residual chi = 2.39302 at 5008.3904 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b1-00034752.fit: Airmass range = 1.13 1.15 QAPLOT_SKYLINE: sdR-b1-00034752.fit: Flux dispersion for skyline 4359.5 = 17.95 % QAPLOT_SKYLINE: sdR-b1-00034752.fit: Airmass range = 1.13 1.15 QAPLOT_SKYLINE: sdR-b1-00034752.fit: Flux dispersion for skyline 5578.9 = 1.64 % SPADD_GUIDERINFO: sdR-b1-00034752.fit: Number of guider frames = 7 SPREDUCE: sdR-b1-00034752.fit: Elapsed time = 194. seconds SPREDUCE: sdR-b1-00034753.fit: Reading object sdR-b1-00034753.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034753.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034753.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034753.fit: Measured read-noise in DN for amp# 2 = 3.65187 SDSSPROC: sdR-b1-00034753.fit: Measured bias value in DN for amp# 2 = 1222.48 SDSSPROC: sdR-b1-00034753.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034753.fit: Amp #2 Number of pix below bias-5*sigma= 1203. DN is 0 SDSSPROC: sdR-b1-00034753.fit: Measured read-noise in DN for amp# 3 = 2.91941 SDSSPROC: sdR-b1-00034753.fit: Measured bias value in DN for amp# 3 = 1020.55 SDSSPROC: sdR-b1-00034753.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034753.fit: Amp #3 Number of pix below bias-5*sigma= 1004. DN is 0 SDSSPROC: sdR-b1-00034753.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034753.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034753.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034753.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034753.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b1-00034753.fit: Science 25-th-percentile = 154.859 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b1-00034753.fit: Whopping fibers: 7 36 94 133 137 228 264 EXTRACT_OBJECT: sdR-b1-00034753.fit: Median counts in all fibers = 3044.10 EXTRACT_OBJECT: sdR-b1-00034753.fit: Number of bright fibers = 7 EXTRACT_OBJECT: sdR-b1-00034753.fit: Sky fiber median 527.846 EXTRACT_OBJECT: sdR-b1-00034753.fit: 5% and 95% count levels 440.838 10513.3 MATCH_TRACE: sdR-b1-00034753.fit: Iteration: 0 Pixels Rejected: 7293 Finished? 0 MATCH_TRACE: sdR-b1-00034753.fit: Iteration: 1 Pixels Rejected: 113 Finished? 0 MATCH_TRACE: sdR-b1-00034753.fit: Iteration: 2 Pixels Rejected: 17 Finished? 0 MATCH_TRACE: sdR-b1-00034753.fit: Iteration: 3 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b1-00034753.fit: Shifting traces by match_trace 0.0354614 EXTRACT_OBJECT: sdR-b1-00034753.fit: Extracting frame sdR-b1-00034753.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034753.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 2.06 .0004 1 0.92 1.97 .0005 2 0.92 2.00 .0006 3 0.92 2.09 .0007 1 0.92 2.06 .0008 3 0.92 1.81 .0009 2 0.92 1.85 .0010 1 0.92 1.81 .0011 1 0.92 1.77 .0012 2 0.93 1.90 .0013 1 0.93 1.85 .0014 1 0.93 1.75 .0015 1 0.93 1.68 .0016 1 0.93 1.73 .0017 3 0.93 1.86 .0018 1 0.93 1.82 .0019 1 0.93 1.76 .0020 1 0.93 1.89 .0021 1 0.93 1.89 .0022 1 0.93 1.74 .0023 1 0.93 1.79 .0024 1 0.93 1.91 .0025 1 0.93 1.94 .0026 1 0.93 2.05 .0027 3 0.93 1.94 .0028 4 0.93 2.08 .0029 4 0.93 2.62 .0030 2 0.93 2.20 .0031 1 0.93 2.01 .0032 2 0.93 2.19 .0033 1 0.93 2.19 .0034 2 0.93 2.36 .0035 5 0.93 2.35 .0036 3 0.93 2.10 .0037 3 0.93 2.29 .0038 2 0.93 2.30 .0039 2 0.93 2.34 .0040 1 0.93 2.47 .0041 3 0.93 2.47 .0042 3 0.93 2.37 .0043 3 0.93 2.36 .0044 2 0.93 2.51 .0045 3 0.93 2.44 .0046 2 0.93 2.62 .0047 3 0.93 2.59 .0048 2 0.93 2.65 .0049 3 0.93 2.49 .0050 3 0.93 2.72 .0051 1 0.93 2.78 .0052 1 0.93 2.88 .0053 3 0.93 2.71 .0054 1 0.93 2.81 .0055 1 0.94 3.06 .0056 2 0.94 2.75 .0057 1 0.94 3.02 .0058 2 0.94 3.01 .0059 1 0.94 2.95 .0060 2 0.94 2.90 .0061 2 0.94 3.05 .0062 2 0.94 3.12 .0063 2 0.94 3.26 .0064 3 0.94 3.15 .0065 1 0.94 3.08 .0066 1 0.94 3.06 .0067 1 0.94 3.08 .0068 3 0.94 3.18 .0069 1 0.94 3.20 .0070 1 0.94 3.16 .0071 1 0.94 3.18 .0072 1 0.94 3.19 .0073 1 0.94 3.45 .0074 2 0.94 3.48 .0075 1 0.94 3.31 .0076 2 0.94 3.33 .0077 2 0.94 3.17 .0078 3 0.94 3.37 .0079 2 0.94 3.47 .0080 2 0.94 3.48 .0081 1 0.94 3.40 .0082 1 0.94 3.33 .0083 1 0.94 3.36 .0084 3 0.94 3.39 .0085 1 0.94 4.05 .0086 2 0.94 3.35 .0087 1 0.94 3.74 .0088 2 0.94 3.41 .0089 2 0.94 3.44 .0090 2 0.94 3.61 .0091 3 0.94 3.74 .0092 1 0.94 3.45 .0093 2 0.94 3.63 .0094 3 0.94 3.49 .0095 2 0.94 3.46 .0096 2 0.94 3.60 .0097 2 0.94 3.70 .0098 3 0.94 3.78 .0099 2 0.94 3.68 .0100 2 0.94 3.82 .0101 3 0.94 3.75 .0102 1 0.94 3.69 .0103 1 0.94 3.62 .0104 2 0.94 3.50 .0105 2 0.94 3.83 .0106 2 0.95 3.82 .0107 3 0.95 3.67 .0108 2 0.95 3.53 .0109 2 0.95 3.74 .0110 2 0.95 3.96 .0111 2 0.95 3.72 .0112 2 0.95 3.79 .0113 2 0.95 3.89 .0114 2 0.95 3.60 .0115 4 0.95 3.55 .0116 4 0.95 3.70 .0117 2 0.95 3.68 .0118 2 0.95 3.96 .0119 1 0.95 3.96 .0120 2 0.95 3.92 .0121 3 0.95 3.77 .0122 1 0.95 3.92 .0123 1 0.95 3.62 .0124 3 0.95 3.65 .0125 3 0.95 3.79 .0126 3 0.95 3.63 .0127 2 0.95 3.91 .0128 2 0.95 3.86 .0129 4 0.95 3.72 .0130 1 0.95 3.97 .0131 1 0.95 3.83 .0132 3 0.95 3.77 .0133 2 0.95 3.75 .0134 2 0.95 3.81 .0135 1 0.95 4.07 .0136 2 0.95 3.81 .0137 2 0.95 4.01 .0138 1 0.95 3.52 .0139 1 0.95 3.64 .0140 2 0.95 3.66 .0141 2 0.95 3.65 .0142 1 0.95 3.62 .0143 3 0.95 3.65 .0144 1 0.95 4.06 .0145 2 0.95 3.76 .0146 4 0.95 3.91 .0147 1 0.95 3.86 .0148 1 0.95 3.86 .0149 2 0.95 3.56 .0150 1 0.95 3.69 .0151 2 0.95 3.77 .0152 1 0.95 3.63 .0153 2 0.95 3.83 .0154 3 0.95 3.67 .0155 2 0.95 3.65 .0156 1 0.95 3.89 .0157 2 0.95 3.51 .0158 2 0.95 3.79 .0159 1 0.95 3.71 .0160 1 0.95 3.58 .0161 1 0.95 3.69 .0162 2 0.95 3.67 .0163 1 0.95 3.36 .0164 1 0.95 3.72 .0165 2 0.95 3.56 .0166 1 0.95 3.58 .0167 1 0.95 3.62 .0168 2 0.95 3.75 .0169 2 0.95 3.68 .0170 1 0.96 3.54 .0171 2 0.96 3.57 .0172 1 0.96 3.53 .0173 3 0.96 3.65 .0174 2 0.96 3.56 .0175 1 0.96 3.68 .0176 2 0.96 4.05 .0177 2 0.96 3.67 .0178 3 0.96 3.91 .0179 3 0.96 3.35 .0180 2 0.96 3.80 .0181 1 0.96 3.76 .0182 3 0.96 3.88 .0183 4 0.96 3.58 .0184 2 0.96 3.91 .0185 1 0.96 3.96 .0186 2 0.96 3.71 .0187 1 0.96 3.70 .0188 2 0.96 3.55 .0189 1 0.96 3.63 .0190 1 0.96 3.75 .0191 2 0.96 3.68 .0192 2 0.96 3.89 .0193 1 0.96 3.95 .0194 1 0.96 3.71 .0195 3 0.96 3.68 .0196 3 0.96 3.91 .0197 4 0.96 3.65 .0198 2 0.96 3.87 .0199 1 0.96 4.05 .0200 3 0.96 3.62 .0201 4 0.96 3.69 .0202 1 0.96 3.86 .0203 1 0.96 3.60 .0204 1 0.96 3.72 .0205 1 0.96 3.71 .0206 2 0.96 3.66 .0207 1 0.96 3.69 .0208 2 0.96 3.54 .0209 2 0.96 3.45 .0210 1 0.96 3.43 .0211 1 0.96 3.67 .0212 1 0.96 3.54 .0213 2 0.96 3.56 .0214 1 0.96 3.33 .0215 1 0.96 3.35 .0216 1 0.96 3.31 .0217 1 0.96 3.53 .0218 1 0.96 3.40 .0219 2 0.96 3.52 .0220 1 0.96 3.52 .0221 1 0.96 3.88 .0222 2 0.96 3.78 .0223 1 0.96 3.70 .0224 4 0.96 4.09 .0225 1 0.96 4.13 .0226 2 0.96 4.27 .0227 2 0.96 4.03 .0228 2 0.96 3.96 .0229 2 0.96 4.55 .0230 1 0.96 4.13 .0231 1 0.96 4.00 .0232 3 0.96 4.07 .0233 1 0.96 3.81 .0234 1 0.96 3.98 .0235 2 0.96 4.06 .0236 3 0.96 4.21 .0237 1 0.96 4.08 .0238 3 0.96 4.00 .0239 3 0.96 4.42 .0240 2 0.96 4.10 .0241 3 0.96 4.51 .0242 1 0.96 4.48 .0243 2 0.96 4.32 .0244 3 0.96 4.08 .0245 2 0.96 4.95 .0246 2 0.96 4.44 .0247 2 0.96 4.95 .0248 2 0.96 4.36 .0249 2 0.96 4.39 .0250 2 0.96 4.34 .0251 2 0.96 4.65 .0252 3 0.96 4.38 .0253 2 0.96 4.45 .0254 3 0.96 4.74 .0255 3 0.96 4.56 .0256 2 0.96 4.86 .0257 1 0.96 4.74 .0258 3 0.96 4.85 .0259 1 0.97 4.75 .0260 2 0.97 4.62 .0261 3 0.97 4.94 .0262 2 0.97 4.93 .0263 1 0.97 5.09 .0264 1 0.97 4.84 .0265 1 0.97 4.76 .0266 1 0.97 4.79 .0267 3 0.97 4.84 .0268 2 0.97 4.87 .0269 2 0.97 5.12 .0270 2 0.97 4.86 .0271 1 0.97 5.23 .0272 2 0.97 4.97 .0273 1 0.97 5.02 .0274 3 0.97 5.20 .0275 2 0.97 5.56 .0276 2 0.97 5.46 .0277 1 0.97 5.19 .0278 2 0.97 5.32 .0279 1 0.97 5.19 .0280 2 0.97 5.15 .0281 1 0.97 5.06 .0282 2 0.97 5.44 .0283 2 0.97 5.66 .0284 2 0.97 5.24 .0285 2 0.97 5.23 .0286 1 0.97 5.54 .0287 3 0.97 5.24 .0288 2 0.97 5.72 .0289 2 0.97 5.40 .0290 2 0.97 5.38 .0291 1 0.97 5.79 .0292 1 0.97 5.37 .0293 1 0.97 5.22 .0294 1 0.97 5.04 .0295 1 0.97 5.17 .0296 1 0.97 5.45 .0297 1 0.97 5.33 .0298 1 0.97 5.16 .0299 3 0.97 5.49 .0300 2 0.97 5.86 .0301 1 0.97 5.24 .0302 1 0.97 5.39 .0303 2 0.97 5.48 .0304 3 0.97 5.16 .0305 2 0.97 5.88 .0306 1 0.97 5.48 .0307 1 0.97 5.31 .0308 1 0.97 5.27 .0309 2 0.97 5.48 .0310 1 0.97 5.27 .0311 1 0.97 5.54 .0312 1 0.97 5.36 .0313 1 0.97 5.37 .0314 2 0.97 5.27 .0315 2 0.97 5.66 .0316 1 0.97 5.58 .0317 1 0.97 5.50 .0318 1 0.97 5.52 .0319 2 0.97 5.61 .0320 2 0.97 5.56 .0321 1 0.97 5.61 .0322 1 0.97 5.80 .0323 2 0.97 5.69 .0324 3 0.97 5.86 .0325 2 0.97 6.05 .0326 1 0.97 5.81 .0327 1 0.97 5.47 .0328 1 0.97 6.08 .0329 1 0.97 5.57 .0330 1 0.97 5.71 .0331 1 0.97 5.74 .0332 2 0.97 5.55 .0333 2 0.97 5.79 .0334 2 0.97 5.76 .0335 2 0.97 5.97 .0336 1 0.97 6.01 .0337 2 0.97 6.20 .0338 3 0.97 5.75 .0339 2 0.97 5.36 .0340 2 0.97 5.76 .0341 2 0.97 5.55 .0342 2 0.97 5.70 .0343 2 0.97 5.73 .0344 3 0.97 5.94 .0345 3 0.97 5.63 .0346 2 0.97 5.80 .0347 2 0.97 5.91 .0348 2 0.97 6.03 .0349 2 0.97 5.92 .0350 2 0.97 5.66 .0351 2 0.97 5.73 .0352 2 0.97 5.73 .0353 1 0.97 6.14 .0354 2 0.97 6.19 .0355 2 0.97 5.66 .0356 1 0.97 5.47 .0357 1 0.97 5.61 .0358 1 0.97 5.48 .0359 2 0.97 5.56 .0360 2 0.97 5.58 .0361 3 0.97 5.58 .0362 2 0.97 5.67 .0363 2 0.97 5.47 .0364 1 0.97 5.48 .0365 2 0.97 6.01 .0366 4 0.97 5.60 .0367 2 0.97 5.91 .0368 1 0.97 5.46 .0369 1 0.97 5.57 .0370 1 0.97 5.56 .0371 2 0.97 5.69 .0372 1 0.97 5.49 .0373 1 0.97 5.47 .0374 2 0.97 6.06 .0375 2 0.97 5.97 .0376 2 0.97 5.61 .0377 2 0.97 5.88 .0378 1 0.97 6.07 .0379 2 0.97 5.65 .0380 1 0.97 5.53 .0381 2 0.97 5.68 .0382 2 0.97 6.03 .0383 2 0.97 5.71 .0384 1 0.97 5.73 .0385 1 0.97 5.66 .0386 1 0.97 5.63 .0387 1 0.97 5.69 .0388 1 0.97 5.54 .0389 1 0.97 5.47 .0390 1 0.97 5.75 .0391 2 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0.99 3.48 .1835 3 0.99 3.38 .1836 3 0.99 3.51 .1837 2 0.99 3.47 .1838 2 0.99 3.41 .1839 2 0.99 3.57 .1840 2 0.99 3.54 .1841 3 0.99 3.68 .1842 2 0.99 3.42 .1843 3 0.99 3.37 .1844 2 0.99 3.61 .1845 1 0.99 3.30 .1846 2 0.99 3.24 .1847 3 0.99 3.38 .1848 3 0.99 3.60 .1849 2 0.99 3.58 .1850 2 0.99 3.24 .1851 1 0.99 3.25 .1852 3 0.99 3.29 .1853 2 0.99 3.54 .1854 1 0.99 3.14 .1855 1 0.99 3.24 .1856 1 0.99 3.10 .1857 2 0.99 3.28 .1858 1 0.99 3.21 .1859 1 0.99 3.06 .1860 1 0.99 3.23 .1861 1 0.99 3.42 .1862 2 0.99 3.42 .1863 3 0.99 3.26 .1864 3 0.99 3.28 .1865 1 0.99 2.92 .1866 1 0.99 2.91 .1867 1 0.99 2.91 .1868 3 0.99 3.03 .1869 2 0.99 2.88 .1870 2 0.99 2.90 .1871 1 0.99 2.84 .1872 1 0.99 2.76 .1873 1 0.99 2.71 .1874 2 0.99 2.61 .1875 1 0.99 2.53 .1876 2 0.99 2.46 .1877 2 0.99 2.54 .1878 4 0.99 2.69 .1879 2 0.99 2.56 .1880 2 0.99 2.34 .1881 3 0.99 2.28 .1882 4 0.99 2.11 .1883 2 0.99 2.19 .1884 2 0.99 2.10 .1885 3 0.99 1.98 .1886 4 0.99 1.97 .1887 3 0.99 1.97 .1888 2 0.99 2.11 .1889 1 0.99 1.92 .1890 1 0.99 2.07 .1891 3 0.99 2.25 .1892 3 0.99 2.21 .1893 2 0.99 2.21 .1894 2 0.99 2.39 .1895 2 0.99 2.36 .1896 2 0.99 2.44 .1897 2 0.99 2.37 .1898 3 0.99 2.43 .1899 3 0.99 2.44 .1900 1 0.99 2.42 .1901 2 0.99 2.76 .1902 6 0.99 2.74 .1903 2 0.99 2.53 .1904 3 0.99 2.62 .1905 3 0.99 2.79 .1906 3 0.99 2.71 .1907 1 0.99 2.62 .1908 2 0.99 2.65 .1909 2 0.99 2.81 .1910 3 0.99 2.68 .1911 3 0.99 2.74 .1912 2 0.99 2.65 .1913 2 0.99 2.65 .1914 2 0.99 2.57 .1915 1 0.99 2.44 .1916 1 0.99 2.38 .1917 1 0.99 2.35 .1918 2 0.99 2.30 .1919 3 0.99 2.22 .1920 2 0.99 2.30 .1921 2 0.99 2.42 .1922 1 0.99 2.31 .1923 2 0.99 2.81 .1924 3 0.99 2.53 .1925 2 0.99 2.46 .1926 2 0.99 2.56 .1927 2 0.99 2.57 .1928 1 0.99 2.59 .1929 1 0.99 2.77 .1930 2 0.99 2.66 .1931 1 0.99 2.59 .1932 2 0.99 2.52 .1933 2 0.99 2.75 .1934 2 0.99 2.77 .1935 3 0.99 2.65 .1936 2 0.99 2.72 .1937 1 0.99 2.74 .1938 2 0.99 2.77 .1939 1 0.99 2.70 .1940 1 0.99 2.70 .1941 1 0.99 2.67 .1942 1 0.99 2.62 .1943 1 0.99 2.58 .1944 2 0.99 2.75 .1945 2 0.99 2.81 .1946 2 0.99 2.61 .1947 1 0.99 2.53 .1948 1 0.99 2.34 .1949 3 0.99 2.66 .1950 2 0.99 2.65 .1951 2 0.99 2.44 .1952 1 0.99 2.44 .1953 2 0.99 2.42 .1954 2 0.99 2.39 .1955 3 0.99 2.20 .1956 1 0.99 2.33 .1957 3 0.99 2.42 .1958 4 0.99 2.38 .1959 3 0.99 2.44 .1960 2 0.99 2.28 .1961 2 0.99 2.09 .1962 2 0.99 2.11 .1963 3 0.99 2.09 .1964 2 0.99 2.00 .1965 2 0.99 2.06 .1966 3 0.99 2.27 .1967 4 0.99 1.97 .1968 4 0.99 2.10 .1969 3 0.99 2.16 .1970 3 0.99 2.28 .1971 3 0.99 2.02 .1972 1 0.99 2.25 .1973 4 0.99 2.15 .1974 7 0.99 2.86 .1975 4 0.99 2.63 .1976 4 0.99 2.38 .1977 3 0.99 2.30 .1978 3 0.99 2.48 .1979 3 0.99 2.39 .1980 2 0.99 2.44 .1981 1 0.99 2.53 .1982 3 0.99 2.47 .1983 2 0.99 2.57 .1984 2 0.99 2.56 .1985 2 0.99 2.48 .1986 3 0.99 2.51 .1987 2 0.99 2.68 .1988 2 0.99 2.54 .1989 3 0.99 2.57 .1990 1 0.99 2.59 .1991 2 0.99 2.55 .1992 1 0.99 2.50 .1993 2 0.99 2.57 .1994 1 0.99 2.42 .1995 1 0.99 2.52 .1996 2 0.99 2.61 .1997 1 0.99 2.96 .1998 3 0.99 2.47 .1999 3 0.99 2.52 .2000 2 1.00 2.49 .2001 1 1.00 2.51 .2002 1 1.00 2.54 .2003 2 1.00 2.40 .2004 1 1.00 2.72 .2005 2 1.00 2.61 .2006 3 1.00 2.40 .2007 2 1.00 2.36 .2008 2 1.00 2.57 .2009 2 1.00 2.31 .2010 2 1.00 2.20 .2011 2 1.00 2.20 .2012 2 1.00 2.11 .2013 1 1.00 2.02 .2014 3 1.00 2.04 .2015 1 1.00 2.06 .2016 3 1.00 1.96 .2017 4 1.00 1.87 .2018 1 1.00 2.02 .2019 3 1.00 1.89 .2020 2 1.00 1.92 .2021 2 1.00 1.90 .2022 1 1.00 1.80 .2023 1 1.00 1.82 .2024 1 1.00 1.77 .2025 3 1.00 1.80 .2026 1 1.00 1.76 .2027 2 1.00 1.92 .2028 4 1.00 2.15 .2029 3 1.00 1.97 .2030 3 1.00 2.06 .2031 2 1.00 2.07 .2032 2 1.00 2.02 .2033 2 1.00 2.08 .2034 1 1.00 2.14 .2035 1 1.00 2.00 .2036 1 1.00 2.10 .2037 2 1.00 2.07 .2038 1 1.00 2.08 .2039 1 1.00 2.26 .2040 2 1.00 2.11 .2041 2 1.00 2.04 .2042 3 1.00 2.21 .2043 1 1.00 2.19 .2044 1 1.00 2.23 .2045 3 1.00 2.25 .2046 2 1.00 2.02 .2047 2 1.00 1.96 EXTRACT_IMAGE: sdR-b1-00034753.fit: masked 2238 pixels EXTRACT_OBJECT: sdR-b1-00034753.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034753.fit: WARNING: Scattered light median = 43.6331 electrons QAPLOT_SCATLIGHT: sdR-b1-00034753.fit: WARNING: Scattered light max = 191.099 electrons EXTRACT_OBJECT: sdR-b1-00034753.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034753.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034753.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034753.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 64 0.03 0.12 Step 10 of 2080 0.61 64 0.03 0.12 Step 14 of 2080 0.61 64 0.03 0.12 Step 18 of 2080 0.61 64 0.03 0.12 Step 22 of 2080 0.61 64 0.03 0.13 Step 26 of 2080 0.61 64 0.03 0.12 Step 30 of 2080 0.61 64 0.03 0.12 Step 34 of 2080 0.61 64 0.03 0.13 Step 38 of 2080 0.61 64 0.03 0.11 Step 42 of 2080 0.61 64 0.03 0.11 Step 46 of 2080 0.61 64 0.03 0.11 Step 50 of 2080 0.61 64 0.04 0.13 Step 54 of 2080 0.61 64 0.04 0.12 Step 58 of 2080 0.61 64 0.03 0.12 Step 62 of 2080 0.61 64 0.04 0.12 Step 66 of 2080 0.61 64 0.04 0.12 Step 70 of 2080 0.61 64 0.03 0.12 Step 74 of 2080 0.61 64 0.04 0.11 Step 78 of 2080 0.61 64 0.03 0.13 Step 82 of 2080 0.61 64 0.04 0.15 Step 86 of 2080 0.61 64 0.03 0.13 Step 90 of 2080 0.60 64 0.03 0.15 Step 94 of 2080 0.60 64 0.04 0.13 Step 98 of 2080 0.60 64 0.03 0.12 Step 102 of 2080 0.60 64 0.03 0.12 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.13 Step 114 of 2080 0.60 64 0.04 0.14 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.12 Step 126 of 2080 0.60 64 0.03 0.13 Step 130 of 2080 0.60 64 0.03 0.12 Step 134 of 2080 0.60 64 0.03 0.13 Step 138 of 2080 0.60 64 0.03 0.13 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.03 0.12 Step 150 of 2080 0.60 64 0.03 0.13 Step 154 of 2080 0.60 64 0.03 0.12 Step 158 of 2080 0.60 64 0.03 0.13 Step 162 of 2080 0.60 64 0.03 0.12 Step 166 of 2080 0.60 64 0.03 0.11 Step 170 of 2080 0.59 64 0.03 0.12 Step 174 of 2080 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Step 290 of 2080 0.58 64 0.04 0.13 Step 294 of 2080 0.58 64 0.03 0.12 Step 298 of 2080 0.58 64 0.04 0.13 Step 302 of 2080 0.58 64 0.03 0.11 Step 306 of 2080 0.58 64 0.03 0.12 Step 310 of 2080 0.58 64 0.03 0.12 Step 314 of 2080 0.58 64 0.03 0.12 Step 318 of 2080 0.58 64 0.03 0.11 Step 322 of 2080 0.58 64 0.03 0.11 Step 326 of 2080 0.58 64 0.03 0.13 Step 330 of 2080 0.57 64 0.03 0.12 Step 334 of 2080 0.57 64 0.03 0.12 Step 338 of 2080 0.57 64 0.03 0.12 Step 342 of 2080 0.57 64 0.03 0.12 Step 346 of 2080 0.57 64 0.02 0.12 Step 350 of 2080 0.57 64 0.02 0.12 Step 354 of 2080 0.57 64 0.03 0.12 Step 358 of 2080 0.57 64 0.03 0.12 Step 362 of 2080 0.57 64 0.03 0.12 Step 366 of 2080 0.57 64 0.03 0.12 Step 370 of 2080 0.57 64 0.03 0.12 Step 374 of 2080 0.57 64 0.03 0.12 Step 378 of 2080 0.57 64 0.03 0.12 Step 382 of 2080 0.57 64 0.03 0.13 Step 386 of 2080 0.57 64 0.03 0.14 Step 390 of 2080 0.57 64 0.03 0.12 Step 394 of 2080 0.57 64 0.03 0.11 Step 398 of 2080 0.57 64 0.03 0.12 Step 402 of 2080 0.57 64 0.03 0.12 Step 406 of 2080 0.57 64 0.03 0.11 Step 410 of 2080 0.57 64 0.03 0.11 Step 414 of 2080 0.56 64 0.03 0.12 Step 418 of 2080 0.56 64 0.03 0.12 Step 422 of 2080 0.56 64 0.03 0.12 Step 426 of 2080 0.56 64 0.03 0.12 Step 430 of 2080 0.56 64 0.04 0.12 Step 434 of 2080 0.56 64 0.03 0.12 Step 438 of 2080 0.56 64 0.03 0.13 Step 442 of 2080 0.56 64 0.03 0.12 Step 446 of 2080 0.56 64 0.03 0.12 Step 450 of 2080 0.56 64 0.03 0.11 Step 454 of 2080 0.56 64 0.03 0.11 Step 458 of 2080 0.56 64 0.03 0.12 Step 462 of 2080 0.56 64 0.03 0.12 Step 466 of 2080 0.56 64 0.03 0.11 Step 470 of 2080 0.56 64 0.03 0.12 Step 474 of 2080 0.56 64 0.03 0.11 Step 478 of 2080 0.56 64 0.03 0.12 Step 482 of 2080 0.56 64 0.03 0.11 Step 486 of 2080 0.56 64 0.03 0.12 Step 490 of 2080 0.56 64 0.03 0.12 Step 494 of 2080 0.55 64 0.03 0.12 Step 498 of 2080 0.55 64 0.03 0.11 Step 502 of 2080 0.55 64 0.03 0.12 Step 506 of 2080 0.55 64 0.03 0.11 Step 510 of 2080 0.55 64 0.03 0.13 Step 514 of 2080 0.55 64 0.03 0.12 Step 518 of 2080 0.55 64 0.03 0.12 Step 522 of 2080 0.55 64 0.03 0.13 Step 526 of 2080 0.55 64 0.03 0.12 Step 530 of 2080 0.55 64 0.03 0.11 Step 534 of 2080 0.55 64 0.03 0.12 Step 538 of 2080 0.55 64 0.03 0.11 Step 542 of 2080 0.55 64 0.03 0.11 Step 546 of 2080 0.55 64 0.03 0.12 Step 550 of 2080 0.55 64 0.03 0.11 Step 554 of 2080 0.55 64 0.03 0.12 Step 558 of 2080 0.55 64 0.03 0.12 Step 562 of 2080 0.55 64 0.03 0.12 Step 566 of 2080 0.55 64 0.03 0.12 Step 570 of 2080 0.55 64 0.03 0.11 Step 574 of 2080 0.54 64 0.03 0.12 Step 578 of 2080 0.54 64 0.03 0.11 Step 582 of 2080 0.54 64 0.02 0.11 Step 586 of 2080 0.54 64 0.03 0.11 Step 590 of 2080 0.54 64 0.03 0.11 Step 594 of 2080 0.54 64 0.03 0.12 Step 598 of 2080 0.54 64 0.03 0.12 Step 602 of 2080 0.54 64 0.03 0.12 Step 606 of 2080 0.54 64 0.03 0.12 Step 610 of 2080 0.54 64 0.03 0.12 Step 614 of 2080 0.54 64 0.03 0.12 Step 618 of 2080 0.54 64 0.03 0.12 Step 622 of 2080 0.54 64 0.03 0.11 Step 626 of 2080 0.54 64 0.03 0.12 Step 630 of 2080 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Step 974 of 2080 0.50 64 0.03 0.12 Step 978 of 2080 0.50 64 0.03 0.12 Step 982 of 2080 0.50 64 0.03 0.12 Step 986 of 2080 0.50 64 0.03 0.13 Step 990 of 2080 0.50 64 0.03 0.12 Step 994 of 2080 0.49 64 0.03 0.12 Step 998 of 2080 0.49 64 0.03 0.12 Step 1002 of 2080 0.49 64 0.03 0.11 Step 1006 of 2080 0.49 64 0.03 0.12 Step 1010 of 2080 0.49 64 0.03 0.12 Step 1014 of 2080 0.49 64 0.03 0.11 Step 1018 of 2080 0.49 64 0.03 0.11 Step 1022 of 2080 0.49 64 0.03 0.12 Step 1026 of 2080 0.49 64 0.03 0.11 Step 1030 of 2080 0.49 64 0.03 0.12 Step 1034 of 2080 0.49 64 0.03 0.11 Step 1038 of 2080 0.49 64 0.03 0.11 Step 1042 of 2080 0.49 64 0.03 0.12 Step 1046 of 2080 0.49 64 0.03 0.12 Step 1050 of 2080 0.49 64 0.03 0.11 Step 1054 of 2080 0.49 64 0.03 0.12 Step 1058 of 2080 0.49 64 0.03 0.12 Step 1062 of 2080 0.49 64 0.03 0.12 Step 1066 of 2080 0.49 64 0.03 0.13 Step 1070 of 2080 0.49 64 0.03 0.12 Step 1074 of 2080 0.49 64 0.03 0.11 Step 1078 of 2080 0.49 64 0.03 0.13 Step 1082 of 2080 0.48 64 0.03 0.12 Step 1086 of 2080 0.48 64 0.03 0.12 Step 1090 of 2080 0.48 64 0.03 0.12 Step 1094 of 2080 0.48 64 0.03 0.12 Step 1098 of 2080 0.48 64 0.03 0.12 Step 1102 of 2080 0.48 64 0.04 0.12 Step 1106 of 2080 0.48 64 0.03 0.12 Step 1110 of 2080 0.48 64 0.03 0.12 Step 1114 of 2080 0.48 64 0.03 0.12 Step 1118 of 2080 0.48 64 0.03 0.11 Step 1122 of 2080 0.48 64 0.03 0.11 Step 1126 of 2080 0.48 64 0.03 0.11 Step 1130 of 2080 0.48 64 0.04 0.13 Step 1134 of 2080 0.48 64 0.04 0.13 Step 1138 of 2080 0.48 64 0.03 0.12 Step 1142 of 2080 0.48 64 0.03 0.12 Step 1146 of 2080 0.48 64 0.03 0.12 Step 1150 of 2080 0.48 64 0.03 0.12 Step 1154 of 2080 0.48 64 0.03 0.12 Step 1158 of 2080 0.48 64 0.04 0.12 Step 1162 of 2080 0.48 64 0.03 0.12 Step 1166 of 2080 0.47 64 0.04 0.12 Step 1170 of 2080 0.47 64 0.04 0.12 Step 1174 of 2080 0.47 64 0.04 0.12 Step 1178 of 2080 0.47 64 0.03 0.12 Step 1182 of 2080 0.47 64 0.03 0.12 Step 1186 of 2080 0.47 64 0.03 0.11 Step 1190 of 2080 0.47 64 0.03 0.11 Step 1194 of 2080 0.47 64 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0.46 64 0.03 0.12 Step 1310 of 2080 0.46 64 0.03 0.12 Step 1314 of 2080 0.46 64 0.03 0.11 Step 1318 of 2080 0.46 64 0.04 0.12 Step 1322 of 2080 0.46 64 0.03 0.12 Step 1326 of 2080 0.46 64 0.03 0.12 Step 1330 of 2080 0.46 64 0.03 0.12 Step 1334 of 2080 0.46 64 0.04 0.13 Step 1338 of 2080 0.46 64 0.03 0.12 Step 1342 of 2080 0.45 64 0.03 0.11 Step 1346 of 2080 0.45 64 0.04 0.12 Step 1350 of 2080 0.45 64 0.03 0.12 Step 1354 of 2080 0.45 64 0.03 0.11 Step 1358 of 2080 0.45 64 0.04 0.12 Step 1362 of 2080 0.45 64 0.04 0.12 Step 1366 of 2080 0.45 64 0.04 0.12 Step 1370 of 2080 0.45 64 0.03 0.12 Step 1374 of 2080 0.45 64 0.04 0.13 Step 1378 of 2080 0.45 64 0.03 0.13 Step 1382 of 2080 0.45 64 0.03 0.12 Step 1386 of 2080 0.45 64 0.04 0.13 Step 1390 of 2080 0.45 64 0.03 0.13 Step 1394 of 2080 0.45 64 0.03 0.12 Step 1398 of 2080 0.45 64 0.03 0.12 Step 1402 of 2080 0.45 64 0.04 0.12 Step 1406 of 2080 0.45 64 0.03 0.12 Step 1410 of 2080 0.45 64 0.03 0.12 Step 1414 of 2080 0.45 64 0.03 0.13 Step 1418 of 2080 0.45 64 0.03 0.12 Step 1422 of 2080 0.45 64 0.03 0.13 Step 1426 of 2080 0.45 64 0.03 0.12 Step 1430 of 2080 0.45 64 0.04 0.13 Step 1434 of 2080 0.44 64 0.04 0.12 Step 1438 of 2080 0.44 64 0.03 0.12 Step 1442 of 2080 0.44 64 0.04 0.12 Step 1446 of 2080 0.44 64 0.04 0.12 Step 1450 of 2080 0.44 64 0.04 0.12 Step 1454 of 2080 0.44 64 0.04 0.12 Step 1458 of 2080 0.44 64 0.04 0.12 Step 1462 of 2080 0.44 64 0.04 0.12 Step 1466 of 2080 0.44 64 0.04 0.13 Step 1470 of 2080 0.44 64 0.04 0.13 Step 1474 of 2080 0.44 64 0.04 0.12 Step 1478 of 2080 0.44 64 0.04 0.12 Step 1482 of 2080 0.44 64 0.04 0.12 Step 1486 of 2080 0.44 64 0.03 0.11 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.04 0.12 Step 1498 of 2080 0.44 64 0.03 0.11 Step 1502 of 2080 0.44 64 0.04 0.12 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.04 0.13 Step 1514 of 2080 0.44 64 0.04 0.12 Step 1518 of 2080 0.44 64 0.03 0.11 Step 1522 of 2080 0.44 64 0.03 0.11 Step 1526 of 2080 0.43 64 0.03 0.13 Step 1530 of 2080 0.43 64 0.03 0.12 Step 1534 of 2080 0.43 64 0.03 0.12 Step 1538 of 2080 0.43 64 0.03 0.13 Step 1542 of 2080 0.43 64 0.03 0.12 Step 1546 of 2080 0.43 64 0.04 0.12 Step 1550 of 2080 0.43 64 0.03 0.11 Step 1554 of 2080 0.43 64 0.03 0.12 Step 1558 of 2080 0.43 64 0.03 0.13 Step 1562 of 2080 0.43 64 0.03 0.12 Step 1566 of 2080 0.43 64 0.03 0.14 Step 1570 of 2080 0.43 64 0.02 0.12 Step 1574 of 2080 0.43 64 0.03 0.12 Step 1578 of 2080 0.43 64 0.03 0.12 Step 1582 of 2080 0.43 64 0.03 0.12 Step 1586 of 2080 0.43 64 0.03 0.12 Step 1590 of 2080 0.43 64 0.03 0.12 Step 1594 of 2080 0.43 64 0.03 0.12 Step 1598 of 2080 0.43 64 0.03 0.13 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.12 Step 1610 of 2080 0.43 64 0.03 0.12 Step 1614 of 2080 0.43 64 0.03 0.12 Step 1618 of 2080 0.42 64 0.03 0.12 Step 1622 of 2080 0.42 64 0.03 0.12 Step 1626 of 2080 0.42 64 0.03 0.12 Step 1630 of 2080 0.42 64 0.03 0.13 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.03 0.12 Step 1642 of 2080 0.42 64 0.04 0.14 Step 1646 of 2080 0.42 64 0.03 0.12 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.11 Step 1658 of 2080 0.42 64 0.03 0.11 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.11 Step 1670 of 2080 0.42 64 0.03 0.12 Step 1674 of 2080 0.42 64 0.03 0.11 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.13 Step 1686 of 2080 0.42 64 0.03 0.13 Step 1690 of 2080 0.42 64 0.04 0.14 Step 1694 of 2080 0.42 64 0.04 0.14 Step 1698 of 2080 0.42 64 0.04 0.14 Step 1702 of 2080 0.42 64 0.04 0.13 Step 1706 of 2080 0.42 64 0.04 0.12 Step 1710 of 2080 0.42 64 0.04 0.12 Step 1714 of 2080 0.41 64 0.03 0.11 Step 1718 of 2080 0.41 64 0.03 0.11 Step 1722 of 2080 0.41 64 0.03 0.11 Step 1726 of 2080 0.41 64 0.03 0.11 Step 1730 of 2080 0.41 64 0.03 0.12 Step 1734 of 2080 0.41 64 0.03 0.12 Step 1738 of 2080 0.41 64 0.03 0.11 Step 1742 of 2080 0.41 64 0.03 0.12 Step 1746 of 2080 0.41 64 0.03 0.11 Step 1750 of 2080 0.41 64 0.03 0.11 Step 1754 of 2080 0.41 64 0.03 0.11 Step 1758 of 2080 0.41 64 0.03 0.11 Step 1762 of 2080 0.41 64 0.03 0.11 Step 1766 of 2080 0.41 64 0.03 0.11 Step 1770 of 2080 0.41 64 0.03 0.11 Step 1774 of 2080 0.41 64 0.03 0.11 Step 1778 of 2080 0.41 64 0.04 0.13 Step 1782 of 2080 0.41 64 0.04 0.12 Step 1786 of 2080 0.41 64 0.03 0.12 Step 1790 of 2080 0.41 64 0.03 0.13 Step 1794 of 2080 0.41 64 0.03 0.12 Step 1798 of 2080 0.41 64 0.03 0.12 Step 1802 of 2080 0.41 64 0.03 0.11 Step 1806 of 2080 0.41 64 0.03 0.13 Step 1810 of 2080 0.40 64 0.03 0.11 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.13 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.03 0.12 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.11 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.03 0.13 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.03 0.13 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.11 Step 1874 of 2080 0.40 64 0.03 0.12 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.03 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.12 Step 1898 of 2080 0.40 64 0.03 0.11 Step 1902 of 2080 0.40 64 0.03 0.12 Step 1906 of 2080 0.39 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.03 0.11 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.13 Step 1934 of 2080 0.39 64 0.02 0.11 Step 1938 of 2080 0.39 64 0.03 0.13 Step 1942 of 2080 0.39 64 0.02 0.12 Step 1946 of 2080 0.39 64 0.02 0.11 Step 1950 of 2080 0.39 64 0.03 0.11 Step 1954 of 2080 0.39 64 0.02 0.12 Step 1958 of 2080 0.39 64 0.02 0.11 Step 1962 of 2080 0.39 64 0.02 0.11 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.04 0.13 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.03 0.12 Step 1998 of 2080 0.39 64 0.04 0.12 Step 2002 of 2080 0.39 64 0.04 0.12 Step 2006 of 2080 0.38 64 0.03 0.13 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.04 0.13 Step 2018 of 2080 0.38 64 0.04 0.13 Step 2022 of 2080 0.38 64 0.03 0.12 Step 2026 of 2080 0.38 64 0.04 0.12 Step 2030 of 2080 0.38 64 0.04 0.12 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.13 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 32 0.02 0.06 Step 2050 of 2080 0.38 32 0.02 0.06 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.02 0.06 Step 2074 of 2080 0.38 32 0.02 0.06 Step 2078 of 2080 0.38 32 0.02 0.06 EXTRACT_OBJECT: sdR-b1-00034753.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 1.77 .0004 1 0.92 1.63 .0005 2 0.92 1.64 .0006 4 0.92 1.58 .0007 2 0.92 1.56 .0008 3 0.92 1.41 .0009 2 0.92 1.47 .0010 1 0.92 1.40 .0011 1 0.92 1.35 .0012 3 0.93 1.39 .0013 1 0.93 1.41 .0014 1 0.93 1.30 .0015 1 0.93 1.24 .0016 1 0.93 1.27 .0017 2 0.93 1.40 .0018 1 0.93 1.38 .0019 1 0.93 1.28 .0020 1 0.93 1.35 .0021 1 0.93 1.35 .0022 1 0.93 1.23 .0023 1 0.93 1.26 .0024 1 0.93 1.34 .0025 1 0.93 1.34 .0026 1 0.93 1.41 .0027 2 0.93 1.36 .0028 4 0.93 1.44 .0029 5 0.93 1.55 .0030 2 0.93 1.56 .0031 1 0.93 1.41 .0032 2 0.93 1.47 .0033 1 0.93 1.58 .0034 2 0.93 1.72 .0035 4 0.93 1.67 .0036 3 0.93 1.53 .0037 3 0.93 1.60 .0038 2 0.93 1.62 .0039 2 0.93 1.61 .0040 1 0.93 1.77 .0041 3 0.93 1.72 .0042 3 0.93 1.59 .0043 3 0.93 1.67 .0044 3 0.93 1.68 .0045 3 0.93 1.70 .0046 2 0.93 1.88 .0047 3 0.93 1.81 .0048 2 0.93 1.85 .0049 3 0.93 1.75 .0050 3 0.93 1.95 .0051 1 0.93 1.88 .0052 1 0.93 2.01 .0053 3 0.93 1.85 .0054 1 0.93 2.02 .0055 1 0.94 2.26 .0056 2 0.94 1.92 .0057 1 0.94 2.12 .0058 2 0.94 2.12 .0059 1 0.94 2.07 .0060 2 0.94 2.10 .0061 2 0.94 2.21 .0062 2 0.94 2.24 .0063 2 0.94 2.38 .0064 3 0.94 2.26 .0065 1 0.94 2.17 .0066 1 0.94 2.15 .0067 1 0.94 2.14 .0068 3 0.94 2.25 .0069 1 0.94 2.27 .0070 1 0.94 2.27 .0071 1 0.94 2.29 .0072 1 0.94 2.28 .0073 1 0.94 2.55 .0074 2 0.94 2.44 .0075 1 0.94 2.40 .0076 2 0.94 2.41 .0077 2 0.94 2.23 .0078 3 0.94 2.42 .0079 2 0.94 2.56 .0080 2 0.94 2.53 .0081 1 0.94 2.44 .0082 1 0.94 2.35 .0083 1 0.94 2.39 .0084 3 0.94 2.41 .0085 3 0.94 2.57 .0086 2 0.94 2.36 .0087 1 0.94 2.72 .0088 2 0.94 2.37 .0089 2 0.94 2.38 .0090 2 0.94 2.55 .0091 3 0.94 2.54 .0092 1 0.94 2.41 .0093 2 0.94 2.59 .0094 3 0.94 2.43 .0095 3 0.94 2.31 .0096 3 0.94 2.47 .0097 3 0.94 2.41 .0098 3 0.94 2.61 .0099 2 0.94 2.66 .0100 2 0.94 2.77 .0101 3 0.94 2.60 .0102 1 0.94 2.51 .0103 1 0.94 2.45 .0104 2 0.94 2.44 .0105 2 0.94 2.74 .0106 3 0.95 2.55 .0107 3 0.95 2.45 .0108 2 0.95 2.42 .0109 2 0.95 2.67 .0110 2 0.95 2.63 .0111 2 0.95 2.65 .0112 2 0.95 2.65 .0113 3 0.95 2.63 .0114 2 0.95 2.52 .0115 4 0.95 2.47 .0116 4 0.95 2.59 .0117 2 0.95 2.50 .0118 2 0.95 2.83 .0119 2 0.95 2.63 .0120 3 0.95 2.59 .0121 3 0.95 2.51 .0122 1 0.95 2.74 .0123 1 0.95 2.54 .0124 3 0.95 2.52 .0125 3 0.95 2.58 .0126 3 0.95 2.45 .0127 2 0.95 2.77 .0128 2 0.95 2.64 .0129 4 0.95 2.48 .0130 1 0.95 2.73 .0131 1 0.95 2.69 .0132 3 0.95 2.59 .0133 2 0.95 2.62 .0134 2 0.95 2.66 .0135 1 0.95 3.01 .0136 2 0.95 2.56 .0137 3 0.95 2.64 .0138 1 0.95 2.37 .0139 1 0.95 2.48 .0140 2 0.95 2.47 .0141 2 0.95 2.49 .0142 1 0.95 2.44 .0143 3 0.95 2.51 .0144 1 0.95 2.95 .0145 2 0.95 2.62 .0146 3 0.95 2.59 .0147 1 0.95 2.62 .0148 1 0.95 2.60 .0149 2 0.95 2.41 .0150 1 0.95 2.49 .0151 2 0.95 2.52 .0152 1 0.95 2.53 .0153 2 0.95 2.58 .0154 3 0.95 2.45 .0155 2 0.95 2.42 .0156 1 0.95 2.69 .0157 2 0.95 2.36 .0158 3 0.95 2.45 .0159 1 0.95 2.51 .0160 1 0.95 2.37 .0161 1 0.95 2.51 .0162 2 0.95 2.50 .0163 1 0.95 2.23 .0164 1 0.95 2.50 .0165 2 0.95 2.39 .0166 1 0.95 2.44 .0167 1 0.95 2.46 .0168 2 0.95 2.53 .0169 2 0.95 2.43 .0170 1 0.96 2.44 .0171 2 0.96 2.41 .0172 1 0.96 2.44 .0173 3 0.96 2.50 .0174 2 0.96 2.39 .0175 1 0.96 2.49 .0176 3 0.96 2.66 .0177 2 0.96 2.48 .0178 3 0.96 2.66 .0179 3 0.96 2.30 .0180 3 0.96 2.47 .0181 1 0.96 2.58 .0182 4 0.96 2.56 .0183 4 0.96 2.54 .0184 2 0.96 2.74 .0185 1 0.96 2.67 .0186 3 0.96 2.43 .0187 2 0.96 2.39 .0188 2 0.96 2.46 .0189 1 0.96 2.51 .0190 1 0.96 2.54 .0191 2 0.96 2.53 .0192 3 0.96 2.63 .0193 2 0.96 2.55 .0194 1 0.96 2.54 .0195 3 0.96 2.52 .0196 2 0.96 2.72 .0197 4 0.96 2.50 .0198 2 0.96 2.70 .0199 1 0.96 2.91 .0200 3 0.96 2.49 .0201 4 0.96 2.56 .0202 1 0.96 2.70 .0203 1 0.96 2.51 .0204 1 0.96 2.59 .0205 1 0.96 2.63 .0206 2 0.96 2.48 .0207 1 0.96 2.58 .0208 2 0.96 2.55 .0209 2 0.96 2.43 .0210 1 0.96 2.45 .0211 1 0.96 2.69 .0212 1 0.96 2.63 .0213 2 0.96 2.53 .0214 1 0.96 2.32 .0215 1 0.96 2.38 .0216 1 0.96 2.33 .0217 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sdR-b1-00034753.fit: masked 2670 pixels EXTRACT_OBJECT: sdR-b1-00034753.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034753.fit: Scattered light median = 12.5853 electrons QAPLOT_SCATLIGHT: sdR-b1-00034753.fit: WARNING: Scattered light max = 121.617 electrons EXTRACT_OBJECT: sdR-b1-00034753.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 3.45 .0004 1 0.92 2.93 .0005 2 0.92 2.74 .0006 3 0.92 2.69 .0007 2 0.92 2.52 .0008 3 0.92 2.26 .0009 2 0.92 2.33 .0010 1 0.92 2.17 .0011 1 0.92 1.99 .0012 3 0.93 2.03 .0013 1 0.93 2.11 .0014 1 0.93 1.81 .0015 1 0.93 1.74 .0016 1 0.93 1.74 .0017 2 0.93 1.78 .0018 1 0.93 1.68 .0019 1 0.93 1.53 .0020 1 0.93 1.60 .0021 1 0.93 1.54 .0022 1 0.93 1.38 .0023 1 0.93 1.39 .0024 1 0.93 1.45 .0025 1 0.93 1.45 .0026 1 0.93 1.54 .0027 2 0.93 1.51 .0028 5 0.93 1.54 .0029 5 0.93 1.59 .0030 2 0.93 1.66 .0031 2 0.93 1.59 .0032 2 0.93 1.70 .0033 1 0.93 1.85 .0034 2 0.93 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2 0.98 2.53 .1645 1 0.98 2.30 .1646 2 0.98 2.27 .1647 2 0.98 2.41 .1648 3 0.98 2.51 .1649 4 0.98 2.41 .1650 4 0.98 2.56 .1651 3 0.98 2.27 .1652 3 0.98 2.30 .1653 2 0.98 2.34 .1654 2 0.98 2.17 .1655 1 0.98 2.28 .1656 1 0.98 2.39 .1657 3 0.98 2.24 .1658 1 0.98 2.29 .1659 2 0.98 2.25 .1660 2 0.98 2.28 .1661 1 0.98 2.24 .1662 1 0.98 2.19 .1663 3 0.99 2.15 .1664 2 0.99 2.28 .1665 2 0.99 2.23 .1666 3 0.99 2.28 .1667 2 0.99 2.16 .1668 1 0.99 2.18 .1669 3 0.99 2.09 .1670 1 0.99 2.34 .1671 3 0.99 2.14 .1672 1 0.99 2.05 .1673 1 0.99 2.28 .1674 1 0.99 2.26 .1675 1 0.99 2.11 .1676 1 0.99 2.09 .1677 3 0.99 2.19 .1678 4 0.99 2.26 .1679 1 0.99 2.32 .1680 2 0.99 2.16 .1681 1 0.99 2.16 .1682 1 0.99 2.10 .1683 1 0.99 2.19 .1684 2 0.99 2.07 .1685 1 0.99 2.18 .1686 2 0.99 2.16 .1687 4 0.99 2.20 .1688 3 0.99 2.15 .1689 1 0.99 2.07 .1690 1 0.99 2.03 .1691 2 0.99 2.05 .1692 2 0.99 2.05 .1693 1 0.99 2.14 .1694 1 0.99 2.07 .1695 3 0.99 2.21 .1696 2 0.99 2.01 .1697 2 0.99 2.16 .1698 4 0.99 2.25 .1699 1 0.99 2.21 .1700 5 0.99 2.21 .1701 4 0.99 2.05 .1702 1 0.99 2.10 .1703 1 0.99 2.18 .1704 2 0.99 2.20 .1705 1 0.99 2.18 .1706 1 0.99 2.17 .1707 2 0.99 2.17 .1708 4 0.99 2.01 .1709 4 0.99 2.14 .1710 5 0.99 2.14 .1711 2 0.99 2.13 .1712 3 0.99 2.18 .1713 4 0.99 2.03 .1714 4 0.99 2.06 .1715 4 0.99 2.04 .1716 2 0.99 1.98 .1717 1 0.99 2.00 .1718 3 0.99 2.00 .1719 3 0.99 2.03 .1720 4 0.99 2.00 .1721 3 0.99 2.04 .1722 3 0.99 1.95 .1723 3 0.99 1.94 .1724 3 0.99 2.11 .1725 2 0.99 2.03 .1726 2 0.99 1.81 .1727 1 0.99 1.89 .1728 1 0.99 1.82 .1729 4 0.99 1.88 .1730 3 0.99 1.89 .1731 2 0.99 1.96 .1732 3 0.99 1.91 .1733 1 0.99 1.87 .1734 1 0.99 1.94 .1735 1 0.99 1.81 .1736 1 0.99 1.91 .1737 2 0.99 1.87 .1738 1 0.99 1.91 .1739 1 0.99 1.88 .1740 2 0.99 1.87 .1741 2 0.99 1.89 .1742 3 0.99 1.81 .1743 4 0.99 1.92 .1744 3 0.99 1.72 .1745 1 0.99 1.79 .1746 2 0.99 1.98 .1747 2 0.99 1.87 .1748 3 0.99 1.77 .1749 2 0.99 1.75 .1750 4 0.99 1.68 .1751 2 0.99 1.82 .1752 1 0.99 1.72 .1753 2 0.99 1.68 .1754 2 0.99 1.71 .1755 3 0.99 1.75 .1756 1 0.99 1.73 .1757 3 0.99 1.76 .1758 3 0.99 1.56 .1759 3 0.99 1.72 .1760 4 0.99 1.73 .1761 2 0.99 1.71 .1762 1 0.99 1.66 .1763 2 0.99 1.68 .1764 3 0.99 1.62 .1765 1 0.99 1.79 .1766 1 0.99 1.68 .1767 1 0.99 1.72 .1768 1 0.99 1.67 .1769 3 0.99 1.78 .1770 1 0.99 1.76 .1771 1 0.99 1.86 .1772 3 0.99 1.83 .1773 4 0.99 1.86 .1774 3 0.99 1.81 .1775 3 0.99 1.78 .1776 3 0.99 1.87 .1777 4 0.99 1.85 .1778 1 0.99 1.79 .1779 2 0.99 1.97 .1780 3 0.99 1.86 .1781 1 0.99 1.97 .1782 2 0.99 2.03 .1783 3 0.99 1.84 .1784 3 0.99 1.86 .1785 1 0.99 1.85 .1786 2 0.99 1.85 .1787 1 0.99 1.82 .1788 2 0.99 1.92 .1789 3 0.99 1.85 .1790 4 0.99 1.89 .1791 1 0.99 1.97 .1792 4 0.99 1.86 .1793 4 0.99 2.09 .1794 6 0.99 1.88 .1795 4 0.99 1.84 .1796 4 0.99 1.89 .1797 2 0.99 1.92 .1798 1 0.99 1.81 .1799 1 0.99 1.88 .1800 3 0.99 1.91 .1801 3 0.99 1.87 .1802 2 0.99 1.92 .1803 2 0.99 1.88 .1804 1 0.99 2.00 .1805 1 0.99 1.95 .1806 1 0.99 1.91 .1807 3 0.99 1.83 .1808 3 0.99 1.83 .1809 2 0.99 2.05 .1810 2 0.99 1.93 .1811 2 0.99 1.92 .1812 1 0.99 2.00 .1813 3 0.99 2.09 .1814 3 0.99 1.86 .1815 2 0.99 1.93 .1816 3 0.99 1.93 .1817 2 0.99 2.03 .1818 4 0.99 2.00 .1819 3 0.99 2.11 .1820 3 0.99 2.14 .1821 3 0.99 2.07 .1822 1 0.99 2.30 .1823 1 0.99 2.10 .1824 1 0.99 2.08 .1825 3 0.99 2.02 .1826 1 0.99 2.03 .1827 2 0.99 2.20 .1828 1 0.99 2.04 .1829 1 0.99 2.12 .1830 1 0.99 2.17 .1831 1 0.99 2.14 .1832 1 0.99 2.09 .1833 3 0.99 2.09 .1834 3 0.99 2.12 .1835 3 0.99 2.11 .1836 3 0.99 2.05 .1837 3 0.99 2.10 .1838 2 0.99 2.10 .1839 2 0.99 2.27 .1840 2 0.99 2.27 .1841 3 0.99 2.17 .1842 2 0.99 2.01 .1843 3 0.99 2.07 .1844 4 0.99 2.05 .1845 2 0.99 2.07 .1846 3 0.99 1.89 .1847 3 0.99 2.10 .1848 3 0.99 2.07 .1849 3 0.99 2.08 .1850 6 0.99 1.90 .1851 1 0.99 2.02 .1852 3 0.99 1.98 .1853 3 0.99 2.06 .1854 1 0.99 1.97 .1855 1 0.99 2.03 .1856 1 0.99 1.92 .1857 2 0.99 2.04 .1858 2 0.99 1.89 .1859 1 0.99 1.85 .1860 2 0.99 1.98 .1861 3 0.99 1.93 .1862 2 0.99 2.10 .1863 4 0.99 1.98 .1864 2 0.99 2.09 .1865 1 0.99 1.87 .1866 2 0.99 1.76 .1867 1 0.99 1.90 .1868 3 0.99 1.87 .1869 2 0.99 1.89 .1870 2 0.99 1.85 .1871 2 0.99 1.76 .1872 1 0.99 1.80 .1873 2 0.99 1.69 .1874 2 0.99 1.77 .1875 1 0.99 1.79 .1876 3 0.99 1.67 .1877 3 0.99 1.74 .1878 3 0.99 1.86 .1879 3 0.99 1.85 .1880 2 0.99 1.69 .1881 6 0.99 1.53 .1882 4 0.99 1.56 .1883 2 0.99 1.69 .1884 3 0.99 1.51 .1885 3 0.99 1.50 .1886 4 0.99 1.51 .1887 3 0.99 1.45 .1888 2 0.99 1.61 .1889 1 0.99 1.42 .1890 2 0.99 1.45 .1891 3 0.99 1.58 .1892 3 0.99 1.60 .1893 2 0.99 1.66 .1894 3 0.99 1.57 .1895 3 0.99 1.68 .1896 2 0.99 1.69 .1897 3 0.99 1.57 .1898 4 0.99 1.68 .1899 3 0.99 1.66 .1900 1 0.99 1.62 .1901 3 0.99 1.71 .1902 7 0.99 1.70 .1903 2 0.99 1.76 .1904 3 0.99 1.80 .1905 2 0.99 1.89 .1906 3 0.99 1.78 .1907 1 0.99 1.83 .1908 2 0.99 1.80 .1909 3 0.99 1.85 .1910 3 0.99 1.83 .1911 5 0.99 1.75 .1912 2 0.99 1.77 .1913 3 0.99 1.82 .1914 2 0.99 1.79 .1915 2 0.99 1.62 .1916 1 0.99 1.72 .1917 1 0.99 1.68 .1918 2 0.99 1.65 .1919 3 0.99 1.61 .1920 3 0.99 1.58 .1921 2 0.99 1.72 .1922 1 0.99 1.61 .1923 3 0.99 1.78 .1924 3 0.99 1.68 .1925 2 0.99 1.75 .1926 2 0.99 1.73 .1927 2 0.99 1.72 .1928 1 0.99 1.80 .1929 3 0.99 1.77 .1930 3 0.99 1.68 .1931 1 0.99 1.66 .1932 3 0.99 1.60 .1933 3 0.99 1.81 .1934 5 0.99 1.69 .1935 3 0.99 1.70 .1936 2 0.99 1.79 .1937 2 0.99 1.73 .1938 2 0.99 1.79 .1939 1 0.99 1.79 .1940 1 0.99 1.72 .1941 1 0.99 1.74 .1942 1 0.99 1.68 .1943 1 0.99 1.64 .1944 3 0.99 1.71 .1945 3 0.99 1.70 .1946 3 0.99 1.61 .1947 1 0.99 1.61 .1948 1 0.99 1.64 .1949 4 0.99 1.60 .1950 3 0.99 1.78 .1951 2 0.99 1.62 .1952 1 0.99 1.66 .1953 2 0.99 1.57 .1954 2 0.99 1.61 .1955 3 0.99 1.52 .1956 1 0.99 1.59 .1957 4 0.99 1.62 .1958 5 0.99 1.57 .1959 3 0.99 1.64 .1960 2 0.99 1.53 .1961 2 0.99 1.52 .1962 3 0.99 1.46 .1963 4 0.99 1.53 .1964 2 0.99 1.43 .1965 4 0.99 1.48 .1966 3 0.99 1.64 .1967 4 0.99 1.43 .1968 5 0.99 1.51 .1969 3 0.99 1.49 .1970 3 0.99 1.58 .1971 3 0.99 1.48 .1972 2 0.99 1.50 .1973 4 0.99 1.48 .1974 7 0.99 1.67 .1975 4 0.99 1.65 .1976 4 0.99 1.72 .1977 3 0.99 1.55 .1978 3 0.99 1.66 .1979 4 0.99 1.58 .1980 2 0.99 1.70 .1981 2 0.99 1.60 .1982 3 0.99 1.75 .1983 3 0.99 1.78 .1984 3 0.99 1.66 .1985 2 0.99 1.70 .1986 3 0.99 1.75 .1987 2 0.99 1.84 .1988 3 0.99 1.67 .1989 3 0.99 1.72 .1990 2 0.99 1.76 .1991 3 0.99 1.70 .1992 1 0.99 1.78 .1993 2 0.99 1.87 .1994 2 0.99 1.70 .1995 1 0.99 1.87 .1996 2 0.99 1.88 .1997 4 0.99 2.05 .1998 4 0.99 1.81 .1999 3 0.99 1.96 .2000 2 1.00 1.92 .2001 2 1.00 1.77 .2002 2 1.00 1.89 .2003 3 1.00 1.84 .2004 2 1.00 1.92 .2005 5 1.00 1.86 .2006 3 1.00 1.87 .2007 2 1.00 1.81 .2008 3 1.00 1.78 .2009 2 1.00 1.78 .2010 2 1.00 1.69 .2011 2 1.00 1.66 .2012 2 1.00 1.57 .2013 1 1.00 1.59 .2014 3 1.00 1.58 .2015 2 1.00 1.53 .2016 3 1.00 1.54 .2017 3 1.00 1.47 .2018 1 1.00 1.56 .2019 3 1.00 1.46 .2020 2 1.00 1.50 .2021 2 1.00 1.50 .2022 1 1.00 1.40 .2023 1 1.00 1.50 .2024 1 1.00 1.40 .2025 3 1.00 1.48 .2026 1 1.00 1.34 .2027 3 1.00 1.49 .2028 4 1.00 1.59 .2029 3 1.00 1.49 .2030 2 1.00 1.48 .2031 3 1.00 1.55 .2032 2 1.00 1.50 .2033 2 1.00 1.54 .2034 2 1.00 1.52 .2035 1 1.00 1.47 .2036 1 1.00 1.59 .2037 2 1.00 1.54 .2038 1 1.00 1.57 .2039 2 1.00 1.57 .2040 2 1.00 1.57 .2041 2 1.00 1.50 .2042 3 1.00 1.67 .2043 2 1.00 1.51 .2044 3 1.00 1.53 .2045 3 1.00 1.64 .2046 2 1.00 1.50 .2047 2 1.00 1.48 EXTRACT_IMAGE: sdR-b1-00034753.fit: masked 3742 pixels DIVIDEFLAT: sdR-b1-00034753.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034753.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034753.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034753.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034753.fit: Warning: Reject 420 low points in trace 279 DIVIDEFLAT: sdR-b1-00034753.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034753.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-b1-00034753.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034753.fit: WARNING: sky shift reference line, sigma 5577.3390 0.052060200 LOCATESKYLINES_2: sdR-b1-00034753.fit: sky shift reference line, offset: 5577.3390 -0.13945161 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 8 0.60919694 46.925479 -1.0000000 1.0230592 61.797519 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 17 1.3699367 55.148325 -0.78638810 2.0000000 35.938629 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 28 0.96635894 70.994155 -1.0000000 1.3905605 66.545806 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 32 2.3759121 77.723215 -0.98034575 0.60000000 122.86943 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 43 1.3899001 98.531633 -0.17782453 1.0361794 39.005880 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 44 0.71793598 104.98168 -1.0000000 1.3212465 62.593566 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 70 0.82504801 106.71137 -0.32321385 0.75728099 62.916126 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 78 0.94934327 86.007666 -0.75355453 0.62081919 73.368519 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 89 0.66648024 112.21134 -1.0000000 1.0162476 54.861174 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 95 1.2275449 103.80634 -0.18426251 0.60000000 43.215393 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 101 0.34734936 127.38732 -0.73107889 0.64078511 83.773805 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 123 2.1982827 134.30950 -1.0000000 0.60000000 89.271483 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 124 3.4163132 114.68633 -0.10761860 0.60000000 44.724391 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 126 0.47713683 120.27667 -0.99344456 0.74807115 74.509870 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 134 2.6270848 100.26728 -0.26445895 0.60591054 67.246331 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 156 2.3435700 139.57753 -0.92811983 0.60000000 69.726074 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 203 2.4893797 127.77749 -0.67678717 0.60000000 26.098835 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 216 1.0278960 117.05425 -0.66454531 0.60000000 54.731492 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 218 2.2219857 108.00322 -0.57844690 0.64553619 47.567005 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 245 1.7479041 120.49212 -1.0000000 0.95393351 62.676517 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 255 0.51054633 122.97392 -0.99575177 1.1032918 44.945574 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 262 1.0391199 107.05389 -0.45103652 0.60000000 100.58690 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 267 0.57546123 106.75095 -0.83529433 0.60000000 69.223649 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 273 2.6158289 105.17538 -0.53926036 0.60000000 40.787601 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 283 0.47856004 114.27535 -0.64737452 1.4366212 43.209180 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 289 1.5438095 117.70360 -0.46523183 0.60000000 78.485727 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 311 1.3597604 138.54787 -0.63820386 0.84552697 53.309101 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 314 0.54335950 122.94351 -0.54768896 0.69424176 51.159166 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 0 317 0.39172179 124.63477 -0.99920795 0.74661212 52.770743 LOCATESKYLINES_2: sdR-b1-00034753.fit: trimmed 1high points: 1.0054791 LOCATESKYLINES_2: sdR-b1-00034753.fit: comb1 l,chi^2/dof,fit: 0 0.29463768 0.0034060647 -0.68918788 0.80372122 0.90813297 LOCATESKYLINES_2: sdR-b1-00034753.fit: kept 107 of 107 points LOCATESKYLINES_2: sdR-b1-00034753.fit: offset, refoff, sigma: -0.828639-0.6891880.089733 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 8 1.4110185 92.890869 -0.60377988 1.3528004 238.40425 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 17 0.34049776 60.021630 -0.11502621 1.0434140 238.44208 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 28 1.3481101 145.84986 -0.31995228 1.0126151 218.39145 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 32 0.28413971 74.772357 -0.29180665 1.2476761 242.98875 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 43 2.0275597 113.37592 -0.24582355 1.7979268 200.55469 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 44 2.5919223 83.423525 -0.55830054 1.9541042 231.38484 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 70 0.60145215 187.71373 0.091767832 1.0080329 196.59750 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 78 2.5672320 148.59209 -0.34666115 1.2160041 233.37086 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 89 0.75832672 183.49189 -0.065970496 1.0896636 224.26169 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 95 0.53247365 187.32725 -0.23750089 0.78286498 267.70592 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 101 2.1938948 196.96842 -0.38224635 1.1652867 257.65759 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 123 0.61276746 205.40725 -0.11025368 1.0466944 255.06453 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 124 2.8864319 168.21328 -0.44370841 1.6229946 219.91810 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 126 1.6092568 188.54422 -0.34776190 1.3288774 227.07635 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 134 1.9527731 180.68433 -0.35542119 1.4473319 211.65452 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 156 1.3198957 190.35648 -0.35511491 1.2684732 254.29167 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 203 1.2685370 190.37988 -0.36127628 1.1407408 227.84039 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 216 1.7270214 154.19664 -0.52869795 1.5607076 239.60862 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 218 2.4332090 176.28152 -0.21525333 1.2359421 224.01682 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 245 1.7330675 203.68122 -0.20392430 1.0791121 256.43533 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 255 0.97373028 185.08323 -0.30094543 1.2485621 284.17655 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 262 1.6630112 185.66667 -0.33853518 1.4031237 214.17309 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 267 2.0184589 137.67890 -0.20151926 1.3385541 297.31356 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 273 1.3987837 117.32679 -0.15360967 1.5834825 252.98420 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 283 2.4022427 146.10466 -0.42357820 1.6300104 238.52986 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 289 2.0612801 169.20621 -0.24677509 1.1570181 257.11495 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 311 0.79429223 203.43091 -0.23936080 1.0746289 267.82761 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 314 0.49324451 193.43726 -0.25440182 1.0806022 242.74610 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 1 317 2.5345647 201.01622 -0.37527125 1.2213899 251.78014 LOCATESKYLINES_2: sdR-b1-00034753.fit: comb1 l,chi^2/dof,fit: 1 1.7213706 0.018313934 -0.27301045 1.2238569 0.97592880 LOCATESKYLINES_2: sdR-b1-00034753.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034753.fit: comb2 l,chi^2/dof,fit: 1 1.6485386 0.016201565 -0.27080317 1.2232880 0.97897473 LOCATESKYLINES_2: sdR-b1-00034753.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-b1-00034753.fit: offset, refoff, sigma: -0.410255-0.2708030.021333 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 8 4.3605831 133.94346 0.0091296140 1.1777554 463.35835 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 17 1.2666675 11.863884 -0.30652166 1.3223664 441.64842 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 28 3.4201151 157.81112 -0.46543570 1.1930377 597.43125 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 32 0.71623034 87.477048 -0.021910623 1.2080554 472.75157 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 43 3.2414131 154.06645 -0.098463613 1.2112940 545.91864 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 44 2.4701921 231.78431 -0.14944648 1.0627846 514.60984 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 70 1.3953563 269.80177 -0.13543119 1.2599563 480.04217 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 78 1.7734588 301.54773 -0.16235828 1.1237604 528.83637 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 89 1.1271190 275.11131 -0.037667708 1.1610307 547.37674 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 95 0.16021650 269.99140 -0.11287182 1.1113913 509.16744 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 101 1.5855989 332.47109 -0.078833861 1.0826725 559.34456 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 123 1.6268801 360.44809 -0.066107244 1.0708199 550.35111 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 124 1.7082403 307.37540 -0.14109949 1.1662711 547.34303 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 126 1.6491793 303.70301 -0.10040684 1.0896960 546.38125 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 134 1.0474746 271.26270 -0.040892805 1.2394361 555.52845 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 156 0.27520506 378.38038 -0.076001862 1.0731777 559.93817 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 203 1.6839481 329.04870 -0.098527518 0.98933322 527.14725 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 216 2.9775746 295.42644 -0.029875937 1.0308003 597.55828 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 218 0.83306001 306.33434 -0.12977158 1.1477423 523.53519 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 245 0.39314165 323.89862 -0.080291690 1.1556643 547.25473 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 255 1.6650947 362.31036 -0.063765898 1.2304984 541.86423 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 262 0.65471530 316.44422 -0.076104432 1.0843957 533.85925 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 267 2.7448615 286.87463 -0.040412339 1.3111036 555.39159 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 273 0.97231238 275.58790 -0.061078606 1.1333094 575.24821 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 283 0.84590618 346.64846 -0.12233414 0.96354937 541.47816 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 289 3.6341112 300.04548 -0.10916309 1.2454908 531.23290 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 311 2.7262576 366.27397 -0.069218534 1.1196481 534.79857 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 314 3.6423827 347.93245 0.055147770 1.1991563 622.66884 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 2 317 1.9630083 372.46473 -0.074527661 1.0468557 612.95550 LOCATESKYLINES_2: sdR-b1-00034753.fit: comb1 l,chi^2/dof,fit: 2 1.5153948 0.0014640388 -0.092095117 1.1376269 0.99303336 LOCATESKYLINES_2: sdR-b1-00034753.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034753.fit: comb2 l,chi^2/dof,fit: 2 1.3887793 0.0025713788 -0.084967886 1.1309009 0.99180878 LOCATESKYLINES_2: sdR-b1-00034753.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-b1-00034753.fit: offset, refoff, sigma: -0.224419-0.0849680.012289 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 8 3.3798468 124.09861 -0.048404327 0.94760561 2091.9079 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 17 1.2568063 -24.213314 -0.065380657 0.98346212 2139.7106 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 28 2.5041044 112.44507 -0.10586600 0.94293498 2171.5833 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 32 0.70466725 92.595852 -0.074596206 0.92944105 2224.8223 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 43 2.9840083 175.03576 -0.086144064 0.95846877 2124.3559 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 44 1.0115319 198.72826 -0.096764149 0.91724235 2250.1163 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 70 3.6098336 254.82908 -0.095896919 0.94147494 2221.1687 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 78 2.9915490 263.56873 -0.11813764 0.98362913 2195.6851 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 89 1.9152694 269.35225 -0.11570910 0.96413104 2187.1901 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 95 4.7765948 252.73014 -0.11558973 0.95146702 2162.6003 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 101 5.3032011 299.06312 -0.11386526 0.94925863 2276.8790 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 123 0.89216505 346.64304 -0.11154383 0.93821936 2314.0713 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 124 4.5856389 326.08283 -0.093447785 0.94865266 2209.4901 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 126 2.3422667 320.66510 -0.099728253 0.94178349 2267.3301 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 134 3.0946445 246.21940 -0.090134885 0.93516147 2263.7965 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 156 1.8486465 337.16572 -0.076605987 0.93137874 2258.1016 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 203 1.7873004 268.09664 -0.055686470 0.97552519 2215.1792 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 216 5.2387221 285.23133 -0.072219343 0.92681584 2263.1310 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 218 3.0275107 263.13182 -0.10349211 0.98519635 2193.2472 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 245 1.1116553 347.18714 -0.063138349 0.90708804 2267.2864 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 255 5.8302239 327.69909 -0.072916007 0.94575330 2201.3292 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 262 2.2158962 301.87550 -0.031431540 0.95302064 2203.0683 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 267 0.28745798 292.75030 -0.083084358 0.97025256 2116.5748 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 273 2.2961320 295.29673 -0.046957238 0.93605378 2216.7368 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 283 5.0618909 313.56904 -0.056522474 0.92540498 2249.2871 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 289 5.9005536 315.25101 -0.069737188 0.93674930 2190.0999 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 311 2.0969307 323.20736 -0.081251165 0.96223441 2278.9775 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 314 0.89067191 354.17501 -0.068537874 0.96250515 2246.7170 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 3 317 4.8816079 328.85678 -0.078895261 0.95357213 2258.8874 LOCATESKYLINES_2: sdR-b1-00034753.fit: comb1 l,chi^2/dof,fit: 3 1.9743632 5.6581308e-05 -0.083224632 0.94755890 0.99931938 LOCATESKYLINES_2: sdR-b1-00034753.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034753.fit: comb2 l,chi^2/dof,fit: 3 1.9107881 0.00012172372 -0.082181450 0.94888407 0.99860661 LOCATESKYLINES_2: sdR-b1-00034753.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-b1-00034753.fit: offset, refoff, sigma: -0.221633-0.0821810.003754 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 8 25.973679 190.10356 -0.010525380 0.74666078 734.29817 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 17 6.5524692 67.681465 -0.066010973 0.93561095 734.28430 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 28 14.054680 167.97612 -0.098971296 0.80685270 789.46088 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 32 10.317238 158.00978 0.022522158 0.82496920 764.69345 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 43 26.226249 230.02555 -0.026520227 0.88915057 701.46009 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 44 17.050530 216.27014 -0.019009903 0.83050162 739.19429 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 70 8.8821488 248.42943 -0.020505114 0.86171401 749.43040 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 78 29.056908 304.54927 -0.0052950842 0.81305198 736.58632 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 89 18.621139 235.43438 -0.033898422 0.96790671 775.04109 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 95 38.346126 298.13285 -0.11705329 0.82231251 735.12078 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 101 36.184036 361.68366 -0.019924952 0.76851171 806.25559 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 123 28.325021 314.63445 -0.019633942 0.88529365 753.53724 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 124 26.979081 285.35238 0.016560947 0.87867336 708.31261 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 126 18.355884 278.60836 -0.094639394 0.88742801 706.65381 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 134 28.005197 244.28064 -0.010516886 0.90405221 700.56206 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 156 29.497834 329.95618 0.0040222740 0.89105211 759.94359 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 203 15.627555 260.02644 0.022864333 0.86961012 700.89576 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 216 38.250812 334.35974 0.051584468 0.76085850 746.76742 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 218 40.379363 325.95998 0.048547711 0.83527887 725.27886 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 245 32.274064 327.19323 0.015535917 0.83578509 708.30561 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 255 23.250512 333.41685 0.073571913 0.85272862 750.96097 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 262 10.284775 284.05908 0.0092302676 0.90494011 766.35035 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 267 30.393867 312.74527 0.078534937 0.83679680 717.59587 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 273 13.352284 283.83160 -0.036252734 0.82089910 799.26122 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 283 43.072710 353.55586 0.018017130 0.76942973 733.80051 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 289 37.989637 346.09629 0.033040006 0.78684155 793.24612 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 311 19.364997 316.75466 -0.0092988605 0.87705491 755.22394 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 314 21.818845 330.95630 -0.026791670 0.87327473 781.65778 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 4 317 42.733230 356.03478 0.0027087755 0.82594422 750.89349 LOCATESKYLINES_2: sdR-b1-00034753.fit: comb1 l,chi^2/dof,fit: 4 14.687768 0.00050694136 -0.0069235629 0.84695683 0.99499417 LOCATESKYLINES_2: sdR-b1-00034753.fit: sigma-clipped to 221 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034753.fit: comb2 l,chi^2/dof,fit: 4 1.9479709 -0.064321305 -0.0074628181 0.92207239 1.0369889 LOCATESKYLINES_2: sdR-b1-00034753.fit: kept 221 of 261 points LOCATESKYLINES_2: sdR-b1-00034753.fit: offset, refoff, sigma: -0.146914-0.0074630.007905 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 8 61.131689 215.85415 -0.14659249 0.64592967 458.97848 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 17 37.411374 161.92034 -0.18950484 0.64754095 482.37766 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 28 46.614122 184.46813 -0.16731105 0.82323972 435.06487 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 32 45.252276 194.61295 -0.12806647 0.73494748 475.87854 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 43 33.684349 214.44535 0.039355980 0.85550127 466.56164 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 44 35.559311 241.60010 -0.13836857 0.79219470 473.18202 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 70 65.745870 324.65004 -0.089088920 0.65499127 451.38285 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 78 32.593327 267.98079 0.022652675 0.77388858 500.10188 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 89 68.308078 313.73545 -0.013251588 0.72802768 455.45297 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 95 88.144665 351.72415 -0.046009147 0.60000000 461.77432 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 101 118.03017 355.49792 -0.095558736 0.60000000 557.53120 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 123 53.630822 324.60595 -0.012172453 0.80768433 485.96363 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 124 49.830564 282.36175 -0.0014714275 0.79100680 540.90200 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 126 47.667177 319.32611 -0.13149519 0.75402835 434.50931 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 134 53.093746 252.78860 -0.040777547 0.79775013 499.49511 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 156 55.937800 340.91277 -0.057210492 0.77450185 506.00329 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 203 51.347747 322.11437 0.12378094 0.72081272 460.35500 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 216 88.477040 343.85026 -0.071546192 0.62141433 525.27592 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 218 83.509709 352.41090 0.037204018 0.60000000 472.08607 LOCATESKYLINES_2: sdR-b1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 245 28.756379 311.41752 -0.046881222 0.81182319 499.54895 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 255 47.393110 326.75771 0.048211722 0.79011337 464.65539 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 262 52.635153 350.16147 -0.15282204 0.69672268 407.63673 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 267 27.280694 281.20385 0.044831079 0.77598690 530.11310 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 273 83.663855 330.94555 0.048296153 0.79174248 391.81117 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 283 67.974191 352.47742 -0.070903848 0.73050889 481.61511 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 289 26.576547 306.22157 0.080348090 0.78939413 551.88385 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 311 59.550027 341.99757 -0.047032031 0.82123578 498.19844 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 314 41.416255 333.73033 -0.096612798 0.74259756 539.35645 LOCATESKYLINES_2: sdR-b1-00034753.fit: l,f,chi^2/dof,c: 5 317 85.242643 384.34118 -0.033848904 0.65804409 477.13645 LOCATESKYLINES_2: sdR-b1-00034753.fit: comb1 l,chi^2/dof,fit: 5 26.621472 -0.0062743703 -0.031070159 0.80000000 0.96730422 LOCATESKYLINES_2: sdR-b1-00034753.fit: sigma-clipped to 193 of 234 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034753.fit: comb2 l,chi^2/dof,fit: 5 1.9629967 -0.12160651 -0.026584891 0.88528177 1.0808645 LOCATESKYLINES_2: sdR-b1-00034753.fit: kept 193 of 234 points LOCATESKYLINES_2: sdR-b1-00034753.fit: offset, refoff, sigma: -0.166036-0.0265850.011034 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 16208.621 DOF = 1542 P(0) = 52.3880 P(1) = 0.00000 P(2) = 52.3880 P(3) = 52.3880 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 2710.8163 DOF = 1542 P(0) = 103.992 P(1) = 4.68308E-05 P(2) = 97.0333 P(3) = 67.2342 P(4) = 0.000130000 P(5) = -0.205293 Iter 3 CHI-SQUARE = 2705.8803 DOF = 1542 P(0) = 103.578 P(1) = 3.52923E-05 P(2) = 100.161 P(3) = 70.3350 P(4) = 0.000130000 P(5) = -0.168339 Iter 4 CHI-SQUARE = 2704.8334 DOF = 1542 P(0) = 103.563 P(1) = 3.37760E-05 P(2) = 100.941 P(3) = 70.2893 P(4) = 0.000130000 P(5) = -0.183384 Iter 5 CHI-SQUARE = 2703.9981 DOF = 1542 P(0) = 103.865 P(1) = 3.40345E-05 P(2) = 101.353 P(3) = 70.3720 P(4) = 0.000130000 P(5) = -0.202254 Iter 6 CHI-SQUARE = 2703.9728 DOF = 1542 P(0) = 103.797 P(1) = 3.50641E-05 P(2) = 101.041 P(3) = 70.4312 P(4) = 0.000130000 P(5) = -0.202952 Iter 7 CHI-SQUARE = 2703.9688 DOF = 1542 P(0) = 103.797 P(1) = 3.48817E-05 P(2) = 101.056 P(3) = 70.4240 P(4) = 0.000130000 P(5) = -0.203053 Iter 8 CHI-SQUARE = 2703.9661 DOF = 1542 P(0) = 103.811 P(1) = 3.49561E-05 P(2) = 101.069 P(3) = 70.4356 P(4) = 0.000130000 P(5) = -0.203779 Iter 9 CHI-SQUARE = 2703.9637 DOF = 1542 P(0) = 103.807 P(1) = 3.49202E-05 P(2) = 101.068 P(3) = 70.4287 P(4) = 0.000130000 P(5) = -0.204325 Iter 10 CHI-SQUARE = 2703.9622 DOF = 1542 P(0) = 103.806 P(1) = 3.48809E-05 P(2) = 101.073 P(3) = 70.4233 P(4) = 0.000130000 P(5) = -0.204833 Iter 11 CHI-SQUARE = 2703.9616 DOF = 1542 P(0) = 103.805 P(1) = 3.48312E-05 P(2) = 101.079 P(3) = 70.4193 P(4) = 0.000130000 P(5) = -0.204925 Iter 12 CHI-SQUARE = 2703.9613 DOF = 1542 P(0) = 103.807 P(1) = 3.48088E-05 P(2) = 101.083 P(3) = 70.4194 P(4) = 0.000130000 P(5) = -0.204940 Iter 13 CHI-SQUARE = 2703.9612 DOF = 1542 P(0) = 103.807 P(1) = 3.47965E-05 P(2) = 101.085 P(3) = 70.4192 P(4) = 0.000130000 P(5) = -0.204955 Iter 14 CHI-SQUARE = 2703.9612 DOF = 1542 P(0) = 103.807 P(1) = 3.47914E-05 P(2) = 101.085 P(3) = 70.4191 P(4) = 0.000130000 P(5) = -0.204960 Iter 15 CHI-SQUARE = 2703.9611 DOF = 1542 P(0) = 103.807 P(1) = 3.47902E-05 P(2) = 101.088 P(3) = 70.4184 P(4) = 0.000130000 P(5) = -0.204997 Iter 16 CHI-SQUARE = 2703.9611 DOF = 1542 P(0) = 103.807 P(1) = 3.47854E-05 P(2) = 101.088 P(3) = 70.4183 P(4) = 0.000130000 P(5) = -0.205003 Iter 17 CHI-SQUARE = 2703.9611 DOF = 1542 P(0) = 103.807 P(1) = 3.47855E-05 P(2) = 101.088 P(3) = 70.4183 P(4) = 0.000130000 P(5) = -0.205003 Iter 17 CHI-SQUARE = 2703.9611 DOF = 1542 P(0) = 103.807 P(1) = 3.47855E-05 P(2) = 101.088 P(3) = 70.4183 P(4) = 0.000130000 P(5) = -0.205003 FITMOONPLUSLINE: sdR-b1-00034753.fit: fit coeffs: 103.80747 3.4785462e-05 101.08817 70.418261 0.00013000000 -0.20500273 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 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129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034753.fit: changing 4046.58 correction from -0.828640 to -0.31478396 pixels, err= 0.052611090 Iter 1 CHI-SQUARE = 59443.766 DOF = 3198 P(0) = 77.7876 P(1) = 0.00000 P(2) = 77.7876 P(3) = 77.7876 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 8620.8383 DOF = 3198 P(0) = 153.735 P(1) = 7.29359E-05 P(2) = 146.439 P(3) = 231.051 P(4) = 0.000130000 P(5) = 0.351779 Iter 3 CHI-SQUARE = 8368.6799 DOF = 3198 P(0) = 153.541 P(1) = 4.49536E-05 P(2) = 143.689 P(3) = 236.017 P(4) = 0.000130000 P(5) = 0.371071 Iter 4 CHI-SQUARE = 8351.4007 DOF = 3198 P(0) = 153.352 P(1) = 3.89824E-05 P(2) = 145.469 P(3) = 238.418 P(4) = 0.000130000 P(5) = 0.361029 Iter 5 CHI-SQUARE = 8349.1069 DOF = 3198 P(0) = 153.429 P(1) = 3.71594E-05 P(2) = 146.055 P(3) = 238.207 P(4) = 0.000130000 P(5) = 0.351147 Iter 6 CHI-SQUARE = 8348.9437 DOF = 3198 P(0) = 153.571 P(1) = 3.69454E-05 P(2) = 146.274 P(3) = 238.115 P(4) = 0.000130000 P(5) = 0.351439 Iter 7 CHI-SQUARE = 8348.9184 DOF = 3198 P(0) = 153.573 P(1) = 3.66042E-05 P(2) = 146.294 P(3) = 238.100 P(4) = 0.000130000 P(5) = 0.351158 Iter 8 CHI-SQUARE = 8348.9182 DOF = 3198 P(0) = 153.570 P(1) = 3.65528E-05 P(2) = 146.295 P(3) = 238.094 P(4) = 0.000130000 P(5) = 0.351163 Iter 9 CHI-SQUARE = 8348.9174 DOF = 3198 P(0) = 153.568 P(1) = 3.65749E-05 P(2) = 146.296 P(3) = 238.088 P(4) = 0.000130000 P(5) = 0.351178 Iter 9 CHI-SQUARE = 8348.9174 DOF = 3198 P(0) = 153.568 P(1) = 3.65749E-05 P(2) = 146.296 P(3) = 238.088 P(4) = 0.000130000 P(5) = 0.351178 FITMOONPLUSLINE: sdR-b1-00034753.fit: fit coeffs: 153.56785 3.6574877e-05 146.29609 238.08833 0.00013000000 0.35117782 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034753.fit: changing 4358.33 correction from -0.410255 to -0.33772395 pixels, err= 0.019019017 Iter 1 CHI-SQUARE = 44885.883 DOF = 1069 P(0) = 162.334 P(1) = 0.00000 P(2) = 162.334 P(3) = 162.334 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 11436.019 DOF = 1069 P(0) = 291.234 P(1) = 9.09249E-05 P(2) = 381.422 P(3) = 456.991 P(4) = 0.000130000 P(5) = 0.306295 Iter 3 CHI-SQUARE = 9860.4639 DOF = 1069 P(0) = 284.480 P(1) = 3.37214E-05 P(2) = 361.260 P(3) = 432.789 P(4) = 0.000130000 P(5) = -0.0508451 Iter 4 CHI-SQUARE = 9714.7707 DOF = 1069 P(0) = 284.500 P(1) = 2.60765E-05 P(2) = 297.125 P(3) = 469.785 P(4) = 0.000130000 P(5) = 0.103798 Iter 5 CHI-SQUARE = 9681.0257 DOF = 1069 P(0) = 294.364 P(1) = 2.73143E-05 P(2) = 327.264 P(3) = 468.030 P(4) = 0.000130000 P(5) = 0.357093 Iter 6 CHI-SQUARE = 9656.0555 DOF = 1069 P(0) = 291.061 P(1) = 2.65300E-05 P(2) = 317.195 P(3) = 468.626 P(4) = 0.000130000 P(5) = 0.286909 Iter 7 CHI-SQUARE = 9653.7557 DOF = 1069 P(0) = 289.793 P(1) = 2.67162E-05 P(2) = 318.653 P(3) = 468.352 P(4) = 0.000130000 P(5) = 0.352555 Iter 8 CHI-SQUARE = 9653.6831 DOF = 1069 P(0) = 290.143 P(1) = 2.71860E-05 P(2) = 320.909 P(3) = 468.216 P(4) = 0.000130000 P(5) = 0.335133 Iter 9 CHI-SQUARE = 9653.6463 DOF = 1069 P(0) = 289.972 P(1) = 2.69332E-05 P(2) = 318.388 P(3) = 468.407 P(4) = 0.000130000 P(5) = 0.335193 Iter 10 CHI-SQUARE = 9653.6421 DOF = 1069 P(0) = 289.939 P(1) = 2.69224E-05 P(2) = 318.697 P(3) = 468.362 P(4) = 0.000130000 P(5) = 0.337557 Iter 11 CHI-SQUARE = 9653.6386 DOF = 1069 P(0) = 289.921 P(1) = 2.69361E-05 P(2) = 318.917 P(3) = 468.348 P(4) = 0.000130000 P(5) = 0.339658 Iter 12 CHI-SQUARE = 9653.6376 DOF = 1069 P(0) = 289.910 P(1) = 2.69484E-05 P(2) = 318.958 P(3) = 468.341 P(4) = 0.000130000 P(5) = 0.339484 Iter 13 CHI-SQUARE = 9653.6364 DOF = 1069 P(0) = 289.931 P(1) = 2.69464E-05 P(2) = 318.951 P(3) = 468.362 P(4) = 0.000130000 P(5) = 0.339907 Iter 13 CHI-SQUARE = 9653.6364 DOF = 1069 P(0) = 289.931 P(1) = 2.69464E-05 P(2) = 318.951 P(3) = 468.362 P(4) = 0.000130000 P(5) = 0.339907 FITMOONPLUSLINE: sdR-b1-00034753.fit: fit coeffs: 289.93070 2.6946437e-05 318.95086 468.36154 0.00013000000 0.33990712 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034753.fit: changing 5460.94 correction from -0.224419 to -0.27852892 pixels, err= 0.014429437 LOCATESKYLINES_2: sdR-b1-00034753.fit: applying -0.01 pixel correction to -0.15 -0.17 0.61 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 FITMEANX: sdR-b1-00034753.fit: In skyline number 0 std-dev is 0.15150297 pix FITMEANX: sdR-b1-00034753.fit: In skyline number 1 std-dev is 0.059134328 pix FITMEANX: sdR-b1-00034753.fit: In skyline number 2 std-dev is 0.026321290 pix FITMEANX: sdR-b1-00034753.fit: In skyline number 3 std-dev is 0.017490810 pix FITMEANX: sdR-b1-00034753.fit: In skyline number 4 std-dev is 0.036895752 pix FITMEANX: sdR-b1-00034753.fit: In skyline number 5 std-dev is 0.047440057 pix LOCATESKYLINES_2: sdR-b1-00034753.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034753.fit: In sky feature at 4046.5600 coadded std-dev is 0.0526111 pix LOCATESKYLINES_2: sdR-b1-00034753.fit: In sky feature at 4358.3300 coadded std-dev is 0.0190190 pix LOCATESKYLINES_2: sdR-b1-00034753.fit: In sky feature at 5460.9400 coadded std-dev is 0.0144294 pix LOCATESKYLINES_2: sdR-b1-00034753.fit: In sky feature at 5577.3390 coadded std-dev is 0.00375351 pix LOCATESKYLINES_2: sdR-b1-00034753.fit: In sky feature at 5889.9500 coadded std-dev is 0.00790529 pix LOCATESKYLINES_2: sdR-b1-00034753.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034753.fit: Median arc shift = -0.27106060 pix LOCATESKYLINES_2: sdR-b1-00034753.fit: Dispersion in arc shift = 0.075432128 pix LOCATESKYLINES_2: sdR-b1-00034753.fit: Maximum sky-line shift is 0.39006656 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Number of sky fibers = 24 ROW NITER SIG(med) CHI^2 .0000 5 0.91 0.58 .0001 1 0.91 0.34 .0002 1 0.91 0.44 .0003 1 0.91 0.40 .0004 1 0.91 0.40 .0005 1 0.91 0.46 .0006 1 0.91 0.56 .0007 11 0.91 0.23 .0008 1 0.91 0.15 .0009 1 0.91 0.56 .0010 1 0.91 0.25 .0011 1 0.91 0.42 .0012 2 0.91 0.51 .0013 1 0.91 0.45 .0014 1 0.91 0.38 .0015 1 0.91 0.19 .0016 2 0.91 0.82 .0017 1 0.91 0.13 .0018 9 0.91 0.28 .0019 4 0.91 0.64 .0020 2 0.91 0.79 .0021 2 0.91 0.50 .0022 2 0.91 0.49 .0023 1 0.91 0.59 .0024 4 0.91 0.66 .0025 1 0.91 0.52 .0026 1 0.91 0.21 .0027 1 0.91 0.44 .0028 1 0.91 0.21 .0029 9 0.91 0.25 .0030 2 0.91 0.68 .0031 1 0.91 0.32 .0032 1 0.91 0.15 .0033 3 0.91 0.57 .0034 1 0.91 0.42 .0035 1 0.91 0.56 .0036 9 0.91 0.28 .0037 3 0.91 0.91 .0038 3 0.91 0.66 .0039 1 0.91 0.35 .0040 1 0.93 0.39 .0041 1 0.93 0.44 .0042 2 0.93 0.61 .0043 1 0.93 0.14 .0044 1 0.93 0.19 .0045 1 0.93 0.59 .0046 1 0.93 0.36 .0047 3 0.93 0.65 .0048 3 0.93 0.81 .0049 1 0.93 0.37 .0050 1 0.93 0.49 .0051 1 0.93 0.59 .0052 1 0.93 0.60 .0053 2 0.93 0.55 .0054 1 0.93 0.42 .0055 2 0.93 0.53 .0056 1 0.93 0.48 .0057 1 0.93 0.85 .0058 3 0.93 0.56 .0059 1 0.93 0.36 .0060 1 0.89 0.19 .0061 2 0.89 0.21 .0062 1 0.89 0.19 .0063 1 0.89 0.18 .0064 1 0.89 0.20 .0065 1 0.89 0.17 .0066 4 0.89 0.75 .0067 1 0.89 0.19 .0068 1 0.89 0.25 .0069 1 0.89 0.19 .0070 1 0.89 0.20 .0071 3 0.89 0.68 .0072 1 0.89 0.18 .0073 1 0.89 0.18 .0074 1 0.89 0.17 .0075 1 0.89 0.20 .0076 2 0.89 0.60 .0077 4 0.89 0.69 .0078 1 0.89 0.25 .0079 4 0.89 0.62 .0080 2 0.87 0.70 .0081 1 0.87 0.43 .0082 1 0.87 0.54 .0083 2 0.87 0.70 .0084 3 0.87 0.42 .0085 1 0.87 0.31 .0086 1 0.87 0.62 .0087 2 0.87 0.54 .0088 2 0.87 0.41 .0089 1 0.87 0.16 .0090 0 0.87 0.00 .0091 1 0.87 0.07 .0092 1 0.87 0.40 .0093 2 0.87 0.71 .0094 9 0.87 0.41 .0095 1 0.87 0.19 .0096 1 0.87 0.59 .0097 1 0.87 0.56 .0098 1 0.87 0.58 .0099 4 0.87 0.68 .0100 1 0.86 0.17 .0101 2 0.86 0.13 .0102 1 0.86 0.16 .0103 1 0.86 0.18 .0104 1 0.86 0.19 .0105 2 0.86 0.12 .0106 1 0.86 0.17 .0107 1 0.86 0.24 .0108 1 0.86 0.23 .0109 1 0.86 0.15 .0110 1 0.86 0.15 .0111 1 0.86 0.16 .0112 1 0.86 0.16 .0113 1 0.86 0.20 .0114 1 0.86 0.16 .0115 1 0.86 0.25 .0116 1 0.86 0.20 .0117 1 0.86 0.23 .0118 1 0.86 0.21 .0119 3 0.86 0.18 .0120 2 0.88 0.61 .0121 3 0.88 0.45 .0122 1 0.88 0.36 .0123 1 0.88 0.20 .0124 1 0.88 0.16 .0125 4 0.88 0.54 .0126 1 0.88 0.19 .0127 1 0.88 0.50 .0128 1 0.88 0.58 .0129 1 0.88 0.32 .0130 2 0.88 0.77 .0131 3 0.88 0.73 .0132 1 0.88 0.80 .0133 9 0.88 0.21 .0134 1 0.88 0.17 .0135 3 0.88 0.51 .0136 1 0.88 0.60 .0137 11 0.88 0.19 .0138 3 0.88 0.54 .0139 5 0.88 0.68 .0140 1 0.87 0.14 .0141 1 0.87 0.17 .0142 1 0.87 0.13 .0143 1 0.87 0.18 .0144 1 0.87 0.18 .0145 1 0.87 0.19 .0146 1 0.87 0.19 .0147 1 0.87 0.21 .0148 1 0.87 0.17 .0149 1 0.87 0.69 .0150 1 0.87 0.18 .0151 1 0.87 0.13 .0152 1 0.87 0.17 .0153 1 0.87 0.24 .0154 1 0.87 0.16 .0155 1 0.87 0.17 .0156 1 0.87 0.19 .0157 1 0.87 0.16 .0158 1 0.87 0.15 .0159 1 0.87 0.16 .0160 1 0.87 0.17 .0161 1 0.87 0.19 .0162 1 0.87 0.18 .0163 1 0.87 0.19 .0164 1 0.87 0.20 .0165 1 0.87 0.22 .0166 1 0.87 0.19 .0167 1 0.87 0.20 .0168 1 0.87 0.23 .0169 1 0.87 0.21 .0170 2 0.87 0.16 .0171 1 0.87 0.18 .0172 1 0.87 0.19 .0173 1 0.87 0.19 .0174 1 0.87 0.18 .0175 1 0.87 0.21 .0176 1 0.87 0.20 .0177 1 0.87 0.20 .0178 1 0.87 0.19 .0179 1 0.87 0.22 .0180 2 0.88 0.72 .0181 1 0.88 0.17 .0182 1 0.88 0.15 .0183 1 0.88 0.17 .0184 1 0.88 0.16 .0185 1 0.88 0.15 .0186 1 0.88 0.16 .0187 1 0.88 0.18 .0188 1 0.88 0.14 .0189 1 0.88 0.14 .0190 1 0.88 0.15 .0191 1 0.88 0.15 .0192 2 0.88 0.18 .0193 1 0.88 0.19 .0194 1 0.88 0.56 .0195 1 0.88 0.18 .0196 1 0.88 0.14 .0197 3 0.88 0.41 .0198 1 0.88 0.14 .0199 1 0.88 0.17 .0200 1 0.89 0.44 .0201 2 0.89 0.87 .0202 3 0.89 0.52 .0203 1 0.89 0.15 .0204 1 0.89 0.49 .0205 1 0.89 0.32 .0206 1 0.89 0.20 .0207 2 0.89 0.63 .0208 1 0.89 0.22 .0209 2 0.89 0.49 .0210 3 0.89 0.50 .0211 9 0.89 0.35 .0212 1 0.89 0.44 .0213 2 0.89 0.41 .0214 2 0.89 0.57 .0215 1 0.89 0.40 .0216 1 0.89 0.18 .0217 4 0.89 0.67 .0218 1 0.89 0.16 .0219 5 0.89 0.73 .0220 5 0.88 0.67 .0221 1 0.88 0.17 .0222 1 0.88 0.74 .0223 1 0.88 0.14 .0224 4 0.88 0.61 .0225 2 0.88 0.60 .0226 2 0.88 0.76 .0227 2 0.88 0.85 .0228 9 0.88 0.33 .0229 1 0.88 0.19 .0230 1 0.88 0.14 .0231 3 0.88 0.71 .0232 1 0.88 0.19 .0233 1 0.88 0.14 .0234 1 0.88 0.19 .0235 1 0.88 0.16 .0236 1 0.88 0.17 .0237 1 0.88 0.17 .0238 1 0.88 0.15 .0239 3 0.88 0.33 .0240 1 0.89 0.40 .0241 5 0.89 0.58 .0242 1 0.89 0.16 .0243 2 0.89 0.37 .0244 1 0.89 0.44 .0245 2 0.89 0.19 .0246 1 0.89 0.35 .0247 1 0.89 0.40 .0248 1 0.89 0.24 .0249 1 0.89 0.58 .0250 1 0.89 0.44 .0251 0 0.89 0.00 .0252 1 0.89 0.43 .0253 9 0.89 0.31 .0254 1 0.89 0.45 .0255 1 0.89 0.16 .0256 1 0.89 0.32 .0257 2 0.89 0.41 .0258 1 0.89 0.51 .0259 1 0.89 0.28 .0260 1 0.91 0.35 .0261 1 0.91 0.41 .0262 1 0.91 0.16 .0263 1 0.91 0.48 .0264 10 0.91 0.30 .0265 10 0.91 0.16 .0266 1 0.91 0.19 .0267 1 0.91 0.14 .0268 1 0.91 0.59 .0269 4 0.91 0.57 .0270 1 0.91 0.69 .0271 3 0.91 0.49 .0272 7 0.91 0.54 .0273 1 0.91 0.14 .0274 4 0.91 0.43 .0275 3 0.91 0.57 .0276 9 0.91 0.21 .0277 1 0.91 0.52 .0278 1 0.91 0.80 .0279 1 0.91 0.22 .0280 1 0.90 0.53 .0281 1 0.90 0.31 .0282 1 0.90 0.28 .0283 1 0.90 0.16 .0284 1 0.90 0.29 .0285 1 0.90 0.28 .0286 1 0.90 0.19 .0287 1 0.90 0.24 .0288 2 0.90 0.30 .0289 1 0.90 0.18 .0290 5 0.90 0.37 .0291 1 0.90 0.34 .0292 1 0.90 0.21 .0293 1 0.90 0.34 .0294 0 0.90 0.00 .0295 3 0.90 0.46 .0296 1 0.90 0.27 .0297 2 0.90 0.43 .0298 1 0.90 0.30 .0299 2 0.90 0.21 .0300 1 0.90 0.32 .0301 1 0.90 0.21 .0302 1 0.90 0.20 .0303 10 0.90 0.21 .0304 1 0.90 0.19 .0305 2 0.90 0.31 .0306 1 0.90 0.36 .0307 1 0.90 0.55 .0308 1 0.90 0.16 .0309 1 0.90 0.35 .0310 5 0.90 0.50 .0311 1 0.90 0.17 .0312 2 0.90 0.45 .0313 5 0.90 0.50 .0314 1 0.90 0.15 .0315 3 0.90 0.64 .0316 2 0.90 0.50 .0317 1 0.90 0.16 .0318 1 0.90 0.39 .0319 1 0.90 0.19 EXTRACT_IMAGE: sdR-b1-00034753.fit: masked 444 pixels SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 0 median sigma(arc)= 0.90158268 sigma(sky)= -642.85654 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 0 sigma^2(add)= 384255.61 +/- 638301.63 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 1 median sigma(arc)= 0.90169342 sigma(sky)= -492.54614 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 1 sigma^2(add)= 202030.60 +/- 814460.47 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 2 median sigma(arc)= 0.91137922 sigma(sky)= 1.0408272 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 2 sigma^2(add)= 0.25325153 +/- 0.16661304 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 3 median sigma(arc)= 0.91698542 sigma(sky)= 0.98086236 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 3 sigma^2(add)= 0.10173364 +/- 0.37004453 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 4 median sigma(arc)= 1.0317260 sigma(sky)= 1.4347115 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 4 sigma^2(add)= 0.98753166 +/- 0.79670147 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 5 median sigma(arc)= 1.0889020 sigma(sky)= 229.50633 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Line # 5 sigma^2(add)= 207174.82 +/- 620985.81 SKYLINE_DISPERSION: sdR-b1-00034753.fit: Flexure sigma^2(add) = 0.12632141 +/- 0.21378235 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034753.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b1-00034753.fit: Heliocentric correction = 23.254874 km/s FITVACSET: sdR-b1-00034753.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034753.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034753.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034753.fit: Number of pixels rejected: 1 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034753.fit: Number of sky fibers = 22 SKYSUBTRACT: sdR-b1-00034753.fit: Airmass range = 1.14532 1.17425 SKYSUBTRACT: sdR-b1-00034753.fit: Discarding 0.00557085 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 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1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 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1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 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1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034753.fit: Median sky-residual chi2 = 2.16763 SKYSUBTRACT: sdR-b1-00034753.fit: Max sky-residual chi2 = 11.3663 EXTRACT_OBJECT: sdR-b1-00034753.fit: Calling skysubtract again; masked skyfibers 43 44 SKYSUBTRACT: sdR-b1-00034753.fit: Number of sky fibers = 20 SKYSUBTRACT: sdR-b1-00034753.fit: Airmass range = 1.14532 1.17425 SKYSUBTRACT: sdR-b1-00034753.fit: Discarding 0.00561523 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 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of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 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1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 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Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034753.fit: Median sky-residual chi2 = 1.69713 SKYSUBTRACT: sdR-b1-00034753.fit: Max sky-residual chi2 = 6.16956 QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 71 = -25.8545 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 79 = -30.7005 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 90 = -25.9598 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 102 = 15.0255 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 124 = 23.2997 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 157 = 28.6761 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 217 = -10.5752 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 219 = -10.8520 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 246 = 13.8283 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 256 = 16.3141 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 268 = -25.4950 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 274 = -27.6103 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 284 = -11.0496 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 312 = 15.9659 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 315 = 25.0008 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 318 = 26.1982 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Median sky-residual chi = 1.30972 QAPLOT_SKYSUB: sdR-b1-00034753.fit: Max sky-residual chi = 2.69127 at 5009.6464 Ang SKYSUBTRACT: sdR-b1-00034753.fit: Number of sky fibers = 20 SKYSUBTRACT: sdR-b1-00034753.fit: Airmass range = 1.14532 1.17425 SKYSUBTRACT: sdR-b1-00034753.fit: Discarding 0.00561523 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 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of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 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of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034753.fit: Median sky-residual chi2 = 1.67489 SKYSUBTRACT: sdR-b1-00034753.fit: Max sky-residual chi2 = 6.04638 QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 71 = -15.5557 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 79 = -21.5180 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 90 = -18.0998 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 102 = 20.2462 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 124 = 28.0219 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 157 = 29.3626 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 204 = -10.0175 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 217 = -13.0720 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 219 = -12.3361 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 256 = 12.4616 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 268 = -30.2380 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 274 = -31.5734 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 284 = -15.6824 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 312 = 10.3426 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 315 = 19.9967 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Warning: Median sky-sub flux in sky fiber 318 = 20.6475 electrons QAPLOT_SKYSUB: sdR-b1-00034753.fit: Median sky-residual chi = 1.30257 QAPLOT_SKYSUB: sdR-b1-00034753.fit: Max sky-residual chi = 2.49615 at 3801.5746 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b1-00034753.fit: Airmass range = 1.15 1.17 QAPLOT_SKYLINE: sdR-b1-00034753.fit: Flux dispersion for skyline 4359.5 = 9.91 % QAPLOT_SKYLINE: sdR-b1-00034753.fit: Airmass range = 1.15 1.17 QAPLOT_SKYLINE: sdR-b1-00034753.fit: Flux dispersion for skyline 5578.9 = 2.39 % SPADD_GUIDERINFO: sdR-b1-00034753.fit: Number of guider frames = 11 SPREDUCE: sdR-b1-00034753.fit: Elapsed time = 211. seconds SPREDUCE: sdR-b1-00034754.fit: Reading object sdR-b1-00034754.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034754.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034754.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034754.fit: Measured read-noise in DN for amp# 2 = 3.65299 SDSSPROC: sdR-b1-00034754.fit: Measured bias value in DN for amp# 2 = 1222.47 SDSSPROC: sdR-b1-00034754.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034754.fit: Amp #2 Number of pix below bias-5*sigma= 1203. DN is 0 SDSSPROC: sdR-b1-00034754.fit: Measured read-noise in DN for amp# 3 = 2.94868 SDSSPROC: sdR-b1-00034754.fit: Measured bias value in DN for amp# 3 = 1020.60 SDSSPROC: sdR-b1-00034754.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034754.fit: Amp #3 Number of pix below bias-5*sigma= 1004. DN is 0 SDSSPROC: sdR-b1-00034754.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034754.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034754.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034754.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034754.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b1-00034754.fit: Science 25-th-percentile = 222.355 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b1-00034754.fit: Whopping fibers: 7 18 33 36 94 125 133 138 211 217 219 228 241 253 257 264 272 274 276 290 303 310 315 EXTRACT_OBJECT: sdR-b1-00034754.fit: Median counts in all fibers = 6430.01 EXTRACT_OBJECT: sdR-b1-00034754.fit: Number of bright fibers = 23 EXTRACT_OBJECT: sdR-b1-00034754.fit: Sky fiber median 736.314 EXTRACT_OBJECT: sdR-b1-00034754.fit: 5% and 95% count levels 420.507 18366.0 EXTRACT_OBJECT: sdR-b1-00034754.fit: WARNING: Disable whopping terms sdR-b1-00034754.fit MATCH_TRACE: sdR-b1-00034754.fit: Iteration: 0 Pixels Rejected: 10343 Finished? 0 MATCH_TRACE: sdR-b1-00034754.fit: Iteration: 1 Pixels Rejected: 113 Finished? 0 MATCH_TRACE: sdR-b1-00034754.fit: Iteration: 2 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: sdR-b1-00034754.fit: Iteration: 3 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b1-00034754.fit: Shifting traces by match_trace 0.0276947 EXTRACT_OBJECT: sdR-b1-00034754.fit: Extracting frame sdR-b1-00034754.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034754.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 3.30 .0004 2 0.92 3.22 .0005 2 0.92 2.98 .0006 3 0.92 3.28 .0007 1 0.92 3.13 .0008 2 0.92 2.96 .0009 1 0.92 2.84 .0010 2 0.92 2.94 .0011 4 0.92 2.96 .0012 4 0.93 3.09 .0013 2 0.93 3.25 .0014 1 0.93 2.86 .0015 3 0.93 2.83 .0016 2 0.93 2.90 .0017 3 0.93 2.81 .0018 4 0.93 2.89 .0019 2 0.93 3.11 .0020 2 0.93 2.98 .0021 1 0.93 2.92 .0022 1 0.93 3.02 .0023 1 0.93 3.02 .0024 1 0.93 2.90 .0025 3 0.93 3.08 .0026 1 0.93 3.18 .0027 4 0.93 3.08 .0028 3 0.93 3.09 .0029 3 0.93 3.16 .0030 1 0.93 3.32 .0031 2 0.93 3.18 .0032 2 0.93 3.40 .0033 2 0.93 3.33 .0034 2 0.93 3.48 .0035 2 0.93 3.49 .0036 2 0.93 3.73 .0037 3 0.93 3.89 .0038 2 0.93 3.69 .0039 2 0.93 3.88 .0040 3 0.93 3.83 .0041 1 0.93 3.99 .0042 1 0.93 4.35 .0043 1 0.93 3.96 .0044 3 0.93 4.11 .0045 2 0.93 4.14 .0046 1 0.93 4.06 .0047 1 0.93 4.16 .0048 1 0.93 4.18 .0049 2 0.93 4.30 .0050 3 0.93 5.09 .0051 2 0.93 4.65 .0052 1 0.93 4.63 .0053 1 0.93 4.55 .0054 3 0.93 5.12 .0055 3 0.94 4.63 .0056 1 0.94 4.74 .0057 2 0.94 4.88 .0058 3 0.94 4.76 .0059 1 0.94 5.00 .0060 2 0.94 5.21 .0061 2 0.94 5.03 .0062 1 0.94 4.84 .0063 2 0.94 4.83 .0064 1 0.94 5.30 .0065 1 0.94 5.45 .0066 2 0.94 5.26 .0067 1 0.94 5.50 .0068 2 0.94 5.49 .0069 2 0.94 5.47 .0070 2 0.94 5.61 .0071 2 0.94 5.67 .0072 2 0.94 5.23 .0073 2 0.94 5.39 .0074 1 0.94 5.34 .0075 1 0.94 5.60 .0076 2 0.94 5.44 .0077 1 0.94 5.43 .0078 1 0.94 5.57 .0079 2 0.94 6.03 .0080 1 0.94 6.00 .0081 2 0.94 5.76 .0082 1 0.94 5.76 .0083 1 0.94 5.82 .0084 2 0.94 5.70 .0085 1 0.94 5.79 .0086 1 0.94 5.77 .0087 1 0.94 5.91 .0088 2 0.94 5.97 .0089 2 0.94 5.78 .0090 1 0.94 6.08 .0091 2 0.94 6.00 .0092 2 0.94 5.63 .0093 1 0.94 5.74 .0094 1 0.94 5.83 .0095 1 0.94 6.07 .0096 1 0.94 6.26 .0097 2 0.94 6.74 .0098 1 0.94 6.17 .0099 2 0.94 5.93 .0100 1 0.94 6.26 .0101 1 0.94 6.07 .0102 3 0.94 6.47 .0103 5 0.94 5.98 .0104 2 0.94 6.95 .0105 2 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0.99 7.01 .1814 1 0.99 6.58 .1815 1 0.99 6.71 .1816 3 0.99 6.98 .1817 3 0.99 6.72 .1818 2 0.99 6.33 .1819 2 0.99 6.45 .1820 1 0.99 6.32 .1821 3 0.99 6.32 .1822 3 0.99 6.78 .1823 1 0.99 7.12 .1824 2 0.99 6.67 .1825 1 0.99 6.36 .1826 2 0.99 6.61 .1827 2 0.99 6.90 .1828 1 0.99 6.44 .1829 1 0.99 6.50 .1830 1 0.99 6.44 .1831 1 0.99 6.49 .1832 1 0.99 6.66 .1833 1 0.99 6.61 .1834 1 0.99 6.37 .1835 2 0.99 6.81 .1836 1 0.99 6.56 .1837 2 0.99 6.65 .1838 2 0.99 6.83 .1839 2 0.99 6.53 .1840 1 0.99 6.39 .1841 1 0.99 7.02 .1842 2 0.99 6.19 .1843 2 0.99 6.22 .1844 2 0.99 6.55 .1845 3 0.99 6.46 .1846 1 0.99 6.19 .1847 1 0.99 6.40 .1848 2 0.99 5.82 .1849 2 0.99 6.19 .1850 2 0.99 6.40 .1851 3 0.99 6.15 .1852 2 0.99 6.06 .1853 3 0.99 6.41 .1854 2 0.99 6.97 .1855 3 0.99 6.67 .1856 1 0.99 5.91 .1857 2 0.99 6.27 .1858 2 0.99 5.83 .1859 2 0.99 5.79 .1860 2 0.99 5.81 .1861 1 0.99 5.77 .1862 2 0.99 5.58 .1863 1 0.99 5.65 .1864 1 0.99 5.77 .1865 2 0.99 5.35 .1866 2 0.99 5.39 .1867 3 0.99 5.76 .1868 1 0.99 5.31 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0.99 4.64 .1925 1 0.99 4.53 .1926 2 0.99 4.75 .1927 1 0.99 4.79 .1928 3 0.99 4.96 .1929 3 0.99 5.94 .1930 3 0.99 5.05 .1931 3 0.99 4.86 .1932 1 0.99 4.91 .1933 2 0.99 5.30 .1934 2 0.99 5.10 .1935 3 0.99 5.03 .1936 3 0.99 5.31 .1937 1 0.99 5.04 .1938 2 0.99 5.26 .1939 2 0.99 5.22 .1940 3 0.99 5.05 .1941 1 0.99 5.18 .1942 2 0.99 5.12 .1943 3 0.99 5.00 .1944 2 0.99 5.20 .1945 3 0.99 4.98 .1946 3 0.99 4.99 .1947 2 0.99 4.78 .1948 2 0.99 4.82 .1949 3 0.99 4.69 .1950 3 0.99 4.84 .1951 4 0.99 4.53 .1952 2 0.99 4.47 .1953 1 0.99 4.21 .1954 1 0.99 4.35 .1955 1 0.99 4.06 .1956 2 0.99 4.31 .1957 3 0.99 4.22 .1958 1 0.99 4.58 .1959 3 0.99 3.81 .1960 1 0.99 3.79 .1961 2 0.99 3.71 .1962 3 0.99 3.61 .1963 3 0.99 3.97 .1964 2 0.99 3.82 .1965 2 0.99 3.75 .1966 2 0.99 4.07 .1967 2 0.99 3.88 .1968 3 0.99 3.98 .1969 1 0.99 3.80 .1970 3 0.99 4.65 .1971 3 0.99 3.69 .1972 3 0.99 3.75 .1973 2 0.99 3.98 .1974 2 0.99 3.98 .1975 3 0.99 4.17 .1976 3 0.99 4.05 .1977 3 0.99 3.90 .1978 3 0.99 4.11 .1979 2 0.99 4.06 .1980 3 0.99 4.37 .1981 3 0.99 4.25 .1982 3 0.99 4.59 .1983 4 0.99 4.56 .1984 1 0.99 4.93 .1985 2 0.99 4.43 .1986 1 0.99 4.49 .1987 1 0.99 4.43 .1988 2 0.99 4.72 .1989 2 0.99 4.67 .1990 1 0.99 4.52 .1991 2 0.99 4.62 .1992 3 0.99 5.40 .1993 3 0.99 4.77 .1994 2 0.99 4.73 .1995 2 0.99 4.61 .1996 5 0.99 4.51 .1997 3 0.99 4.96 .1998 1 0.99 4.70 .1999 1 0.99 4.53 .2000 2 1.00 4.70 .2001 2 1.00 4.33 .2002 3 1.00 4.54 .2003 2 1.00 4.62 .2004 3 1.00 4.86 .2005 3 1.00 4.70 .2006 2 1.00 4.29 .2007 3 1.00 4.58 .2008 3 1.00 4.22 .2009 2 1.00 3.90 .2010 1 1.00 3.94 .2011 3 1.00 3.74 .2012 1 1.00 3.71 .2013 3 1.00 3.70 .2014 1 1.00 3.35 .2015 1 1.00 3.75 .2016 1 1.00 3.36 .2017 2 1.00 3.53 .2018 2 1.00 3.09 .2019 2 1.00 3.21 .2020 3 1.00 3.67 .2021 4 1.00 3.28 .2022 6 1.00 3.04 .2023 1 1.00 3.05 .2024 1 1.00 2.91 .2025 1 1.00 3.16 .2026 2 1.00 3.42 .2027 1 1.00 3.23 .2028 1 1.00 3.33 .2029 2 1.00 3.21 .2030 1 1.00 3.23 .2031 1 1.00 3.21 .2032 1 1.00 3.29 .2033 2 1.00 3.42 .2034 2 1.00 3.74 .2035 1 1.00 3.51 .2036 1 1.00 3.41 .2037 1 1.00 3.60 .2038 1 1.00 3.85 .2039 2 1.00 3.67 .2040 2 1.00 3.69 .2041 1 1.00 4.00 .2042 2 1.00 3.97 .2043 3 1.00 4.12 .2044 3 1.00 3.59 .2045 1 1.00 3.56 .2046 1 1.00 3.41 .2047 1 1.00 3.56 EXTRACT_IMAGE: sdR-b1-00034754.fit: masked 1596 pixels EXTRACT_OBJECT: sdR-b1-00034754.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034754.fit: WARNING: Scattered light median = 87.0568 electrons QAPLOT_SCATLIGHT: sdR-b1-00034754.fit: WARNING: Scattered light max = 285.336 electrons EXTRACT_OBJECT: sdR-b1-00034754.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034754.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034754.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034754.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.03 0.07 Step 6 of 2080 0.62 64 0.06 0.16 Step 10 of 2080 0.61 64 0.05 0.16 Step 14 of 2080 0.61 64 0.05 0.15 Step 18 of 2080 0.61 64 0.03 0.11 Step 22 of 2080 0.61 64 0.03 0.12 Step 26 of 2080 0.61 64 0.02 0.12 Step 30 of 2080 0.61 64 0.02 0.11 Step 34 of 2080 0.61 64 0.02 0.11 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.03 0.11 Step 46 of 2080 0.61 64 0.03 0.13 Step 50 of 2080 0.61 64 0.03 0.12 Step 54 of 2080 0.61 64 0.03 0.12 Step 58 of 2080 0.61 64 0.03 0.12 Step 62 of 2080 0.61 64 0.03 0.12 Step 66 of 2080 0.61 64 0.03 0.12 Step 70 of 2080 0.61 64 0.03 0.12 Step 74 of 2080 0.61 64 0.04 0.12 Step 78 of 2080 0.61 64 0.03 0.11 Step 82 of 2080 0.61 64 0.04 0.12 Step 86 of 2080 0.61 64 0.04 0.13 Step 90 of 2080 0.60 64 0.04 0.12 Step 94 of 2080 0.60 64 0.04 0.13 Step 98 of 2080 0.60 64 0.03 0.12 Step 102 of 2080 0.60 64 0.04 0.12 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.03 0.13 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.03 0.11 Step 130 of 2080 0.60 64 0.03 0.11 Step 134 of 2080 0.60 64 0.03 0.11 Step 138 of 2080 0.60 64 0.03 0.12 Step 142 of 2080 0.60 64 0.03 0.12 Step 146 of 2080 0.60 64 0.03 0.12 Step 150 of 2080 0.60 64 0.03 0.12 Step 154 of 2080 0.60 64 0.03 0.13 Step 158 of 2080 0.60 64 0.03 0.13 Step 162 of 2080 0.60 64 0.03 0.12 Step 166 of 2080 0.60 64 0.03 0.12 Step 170 of 2080 0.59 64 0.03 0.12 Step 174 of 2080 0.59 64 0.03 0.12 Step 178 of 2080 0.59 64 0.03 0.12 Step 182 of 2080 0.59 64 0.04 0.13 Step 186 of 2080 0.59 64 0.03 0.12 Step 190 of 2080 0.59 64 0.04 0.13 Step 194 of 2080 0.59 64 0.03 0.12 Step 198 of 2080 0.59 64 0.04 0.12 Step 202 of 2080 0.59 64 0.03 0.11 Step 206 of 2080 0.59 64 0.03 0.12 Step 210 of 2080 0.59 64 0.03 0.12 Step 214 of 2080 0.59 64 0.04 0.13 Step 218 of 2080 0.59 64 0.03 0.13 Step 222 of 2080 0.59 64 0.03 0.13 Step 226 of 2080 0.59 64 0.03 0.12 Step 230 of 2080 0.59 64 0.03 0.12 Step 234 of 2080 0.59 64 0.03 0.13 Step 238 of 2080 0.59 64 0.03 0.12 Step 242 of 2080 0.59 64 0.03 0.12 Step 246 of 2080 0.59 64 0.03 0.12 Step 250 of 2080 0.58 64 0.03 0.12 Step 254 of 2080 0.58 64 0.02 0.11 Step 258 of 2080 0.58 64 0.02 0.12 Step 262 of 2080 0.58 64 0.03 0.11 Step 266 of 2080 0.58 64 0.03 0.12 Step 270 of 2080 0.58 64 0.03 0.11 Step 274 of 2080 0.58 64 0.03 0.11 Step 278 of 2080 0.58 64 0.03 0.13 Step 282 of 2080 0.58 64 0.03 0.12 Step 286 of 2080 0.58 64 0.03 0.11 Step 290 of 2080 0.58 64 0.03 0.12 Step 294 of 2080 0.58 64 0.03 0.12 Step 298 of 2080 0.58 64 0.03 0.12 Step 302 of 2080 0.58 64 0.03 0.11 Step 306 of 2080 0.58 64 0.03 0.12 Step 310 of 2080 0.58 64 0.04 0.13 Step 314 of 2080 0.58 64 0.03 0.12 Step 318 of 2080 0.58 64 0.04 0.13 Step 322 of 2080 0.58 64 0.03 0.12 Step 326 of 2080 0.58 64 0.03 0.13 Step 330 of 2080 0.57 64 0.03 0.12 Step 334 of 2080 0.57 64 0.03 0.12 Step 338 of 2080 0.57 64 0.03 0.12 Step 342 of 2080 0.57 64 0.04 0.13 Step 346 of 2080 0.57 64 0.04 0.13 Step 350 of 2080 0.57 64 0.04 0.14 Step 354 of 2080 0.57 64 0.05 0.14 Step 358 of 2080 0.57 64 0.04 0.13 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Step 1822 of 2080 0.40 64 0.04 0.13 Step 1826 of 2080 0.40 64 0.04 0.13 Step 1830 of 2080 0.40 64 0.04 0.14 Step 1834 of 2080 0.40 64 0.03 0.13 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.13 Step 1846 of 2080 0.40 64 0.04 0.12 Step 1850 of 2080 0.40 64 0.04 0.13 Step 1854 of 2080 0.40 64 0.04 0.14 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.04 0.13 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.13 Step 1874 of 2080 0.40 64 0.04 0.15 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.02 0.11 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.04 0.13 Step 1898 of 2080 0.40 64 0.04 0.13 Step 1902 of 2080 0.40 64 0.03 0.13 Step 1906 of 2080 0.39 64 0.04 0.12 Step 1910 of 2080 0.39 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.03 0.11 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.03 0.11 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.04 0.12 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.02 0.11 Step 1942 of 2080 0.39 64 0.02 0.11 Step 1946 of 2080 0.39 64 0.02 0.11 Step 1950 of 2080 0.39 64 0.02 0.11 Step 1954 of 2080 0.39 64 0.03 0.11 Step 1958 of 2080 0.39 64 0.02 0.11 Step 1962 of 2080 0.39 64 0.03 0.12 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.03 0.13 Step 1974 of 2080 0.39 64 0.04 0.13 Step 1978 of 2080 0.39 64 0.03 0.11 Step 1982 of 2080 0.39 64 0.04 0.13 Step 1986 of 2080 0.39 64 0.04 0.12 Step 1990 of 2080 0.39 64 0.04 0.12 Step 1994 of 2080 0.39 64 0.04 0.12 Step 1998 of 2080 0.39 64 0.04 0.12 Step 2002 of 2080 0.39 64 0.04 0.12 Step 2006 of 2080 0.38 64 0.04 0.13 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.13 Step 2018 of 2080 0.38 64 0.04 0.13 Step 2022 of 2080 0.38 64 0.03 0.12 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.12 Step 2042 of 2080 0.38 64 0.03 0.13 Step 2046 of 2080 0.38 32 0.02 0.06 Step 2050 of 2080 0.38 32 0.02 0.06 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.01 0.06 Step 2062 of 2080 0.38 32 0.01 0.06 Step 2066 of 2080 0.38 32 0.02 0.06 Step 2070 of 2080 0.38 32 0.01 0.06 Step 2074 of 2080 0.38 32 0.02 0.07 Step 2078 of 2080 0.38 32 0.02 0.06 EXTRACT_OBJECT: sdR-b1-00034754.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 2.46 .0004 2 0.92 2.28 .0005 2 0.92 2.00 .0006 3 0.92 2.21 .0007 1 0.92 2.02 .0008 2 0.92 1.85 .0009 1 0.92 1.73 .0010 2 0.92 1.78 .0011 3 0.92 1.80 .0012 4 0.93 1.72 .0013 3 0.93 1.65 .0014 1 0.93 1.62 .0015 2 0.93 1.55 .0016 2 0.93 1.54 .0017 3 0.93 1.51 .0018 3 0.93 1.49 .0019 3 0.93 1.51 .0020 2 0.93 1.50 .0021 1 0.93 1.43 .0022 1 0.93 1.52 .0023 1 0.93 1.44 .0024 1 0.93 1.41 .0025 3 0.93 1.41 .0026 1 0.93 1.60 .0027 3 0.93 1.47 .0028 3 0.93 1.48 .0029 2 0.93 1.56 .0030 1 0.93 1.72 .0031 2 0.93 1.55 .0032 2 0.93 1.82 .0033 2 0.93 1.70 .0034 2 0.93 1.76 .0035 2 0.93 1.91 .0036 3 0.93 1.98 .0037 2 0.93 2.09 .0038 2 0.93 2.03 .0039 2 0.93 2.08 .0040 3 0.93 2.24 .0041 1 0.93 2.34 .0042 2 0.93 2.26 .0043 1 0.93 2.08 .0044 3 0.93 2.13 .0045 2 0.93 2.13 .0046 1 0.93 1.98 .0047 1 0.93 2.24 .0048 1 0.93 2.18 .0049 2 0.93 2.32 .0050 4 0.93 2.49 .0051 2 0.93 2.51 .0052 1 0.93 2.53 .0053 1 0.93 2.40 .0054 3 0.93 2.55 .0055 3 0.94 2.42 .0056 1 0.94 2.63 .0057 2 0.94 2.61 .0058 2 0.94 2.64 .0059 1 0.94 2.70 .0060 2 0.94 2.86 .0061 2 0.94 2.72 .0062 1 0.94 2.63 .0063 2 0.94 2.54 .0064 1 0.94 2.97 .0065 2 0.94 2.71 .0066 2 0.94 2.89 .0067 1 0.94 3.11 .0068 2 0.94 3.04 .0069 2 0.94 3.18 .0070 3 0.94 2.99 .0071 3 0.94 3.05 .0072 2 0.94 2.97 .0073 3 0.94 2.92 .0074 1 0.94 2.91 .0075 1 0.94 3.05 .0076 2 0.94 2.90 .0077 1 0.94 3.02 .0078 1 0.94 3.04 .0079 3 0.94 3.22 .0080 2 0.94 3.32 .0081 2 0.94 3.06 .0082 1 0.94 3.25 .0083 2 0.94 3.11 .0084 2 0.94 3.19 .0085 1 0.94 3.16 .0086 1 0.94 3.16 .0087 1 0.94 3.25 .0088 2 0.94 3.28 .0089 2 0.94 3.09 .0090 1 0.94 3.33 .0091 2 0.94 3.23 .0092 2 0.94 3.13 .0093 1 0.94 3.03 .0094 1 0.94 3.11 .0095 1 0.94 3.23 .0096 2 0.94 3.21 .0097 2 0.94 3.84 .0098 1 0.94 3.41 .0099 2 0.94 3.20 .0100 1 0.94 3.43 .0101 1 0.94 3.11 .0102 3 0.94 3.35 .0103 5 0.94 3.16 .0104 3 0.94 3.79 .0105 3 0.94 3.31 .0106 3 0.95 3.36 .0107 3 0.95 3.17 .0108 3 0.95 3.49 .0109 1 0.95 3.27 .0110 1 0.95 3.14 .0111 2 0.95 3.06 .0112 2 0.95 3.15 .0113 2 0.95 3.35 .0114 2 0.95 3.67 .0115 2 0.95 3.46 .0116 2 0.95 3.21 .0117 1 0.95 3.28 .0118 1 0.95 3.32 .0119 3 0.95 3.28 .0120 2 0.95 3.31 .0121 1 0.95 3.16 .0122 3 0.95 3.22 .0123 1 0.95 3.18 .0124 1 0.95 3.26 .0125 1 0.95 3.07 .0126 1 0.95 3.26 .0127 3 0.95 3.24 .0128 3 0.95 3.30 .0129 3 0.95 3.36 .0130 4 0.95 3.46 .0131 2 0.95 3.41 .0132 2 0.95 3.08 .0133 2 0.95 3.52 .0134 3 0.95 3.88 .0135 1 0.95 3.58 .0136 3 0.95 3.04 .0137 1 0.95 3.36 .0138 1 0.95 3.23 .0139 2 0.95 3.49 .0140 3 0.95 3.27 .0141 1 0.95 3.38 .0142 2 0.95 3.36 .0143 3 0.95 3.39 .0144 1 0.95 3.13 .0145 2 0.95 3.36 .0146 2 0.95 3.36 .0147 2 0.95 3.17 .0148 1 0.95 3.48 .0149 1 0.95 3.15 .0150 1 0.95 3.25 .0151 2 0.95 3.43 .0152 1 0.95 3.02 .0153 2 0.95 3.33 .0154 1 0.95 3.28 .0155 3 0.95 3.37 .0156 1 0.95 3.41 .0157 2 0.95 2.99 .0158 2 0.95 3.19 .0159 1 0.95 3.14 .0160 1 0.95 3.15 .0161 1 0.95 3.39 .0162 1 0.95 3.15 .0163 1 0.95 3.00 .0164 2 0.95 3.22 .0165 3 0.95 2.99 .0166 2 0.95 3.12 .0167 2 0.95 3.08 .0168 1 0.95 3.09 .0169 3 0.95 3.04 .0170 1 0.96 3.28 .0171 1 0.96 3.05 .0172 1 0.96 3.15 .0173 2 0.96 3.10 .0174 2 0.96 3.01 .0175 1 0.96 3.08 .0176 3 0.96 3.36 .0177 2 0.96 3.20 .0178 3 0.96 3.15 .0179 2 0.96 3.24 .0180 3 0.96 3.09 .0181 2 0.96 3.33 .0182 3 0.96 3.34 .0183 1 0.96 3.19 .0184 2 0.96 3.08 .0185 2 0.96 3.11 .0186 3 0.96 3.25 .0187 1 0.96 3.17 .0188 2 0.96 3.18 .0189 1 0.96 3.25 .0190 2 0.96 3.22 .0191 4 0.96 3.49 .0192 3 0.96 3.38 .0193 2 0.96 3.26 .0194 2 0.96 3.51 .0195 3 0.96 3.38 .0196 3 0.96 3.28 .0197 2 0.96 3.28 .0198 1 0.96 3.36 .0199 1 0.96 3.55 .0200 3 0.96 3.51 .0201 2 0.96 3.44 .0202 5 0.96 3.34 .0203 3 0.96 3.43 .0204 2 0.96 3.45 .0205 1 0.96 3.28 .0206 1 0.96 3.34 .0207 2 0.96 3.17 .0208 1 0.96 3.30 .0209 2 0.96 3.30 .0210 2 0.96 3.18 .0211 1 0.96 3.16 .0212 2 0.96 3.39 .0213 3 0.96 3.06 .0214 2 0.96 3.10 .0215 1 0.96 3.08 .0216 1 0.96 3.13 .0217 1 0.96 3.03 .0218 1 0.96 3.19 .0219 2 0.96 3.38 .0220 1 0.96 3.26 .0221 2 0.96 3.31 .0222 4 0.96 3.29 .0223 3 0.96 3.65 .0224 2 0.96 3.46 .0225 2 0.96 3.36 .0226 2 0.96 3.36 .0227 2 0.96 3.61 .0228 1 0.96 3.36 .0229 3 0.96 3.72 .0230 2 0.96 3.39 .0231 2 0.96 3.45 .0232 3 0.96 3.49 .0233 2 0.96 3.44 .0234 1 0.96 3.84 .0235 2 0.96 3.62 .0236 1 0.96 3.37 .0237 2 0.96 3.54 .0238 1 0.96 3.36 .0239 2 0.96 3.45 .0240 1 0.96 3.71 .0241 2 0.96 4.08 .0242 1 0.96 3.82 .0243 2 0.96 3.54 .0244 1 0.96 3.62 .0245 1 0.96 3.79 .0246 2 0.96 3.77 .0247 1 0.96 4.32 .0248 3 0.96 3.64 .0249 2 0.96 3.80 .0250 1 0.96 3.97 .0251 2 0.96 3.83 .0252 1 0.96 4.18 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0.99 1.73 .1974 3 0.99 1.63 .1975 3 0.99 1.83 .1976 3 0.99 1.94 .1977 3 0.99 1.73 .1978 2 0.99 1.76 .1979 2 0.99 1.70 .1980 3 0.99 1.85 .1981 3 0.99 1.87 .1982 4 0.99 1.99 .1983 4 0.99 2.13 .1984 3 0.99 2.00 .1985 2 0.99 1.91 .1986 1 0.99 2.01 .1987 1 0.99 2.01 .1988 2 0.99 2.24 .1989 3 0.99 2.07 .1990 1 0.99 2.04 .1991 3 0.99 2.03 .1992 3 0.99 2.56 .1993 3 0.99 2.26 .1994 2 0.99 2.23 .1995 2 0.99 2.25 .1996 4 0.99 2.23 .1997 3 0.99 2.34 .1998 1 0.99 2.36 .1999 1 0.99 2.22 .2000 3 1.00 2.26 .2001 2 1.00 2.12 .2002 3 1.00 2.22 .2003 2 1.00 2.34 .2004 4 1.00 2.09 .2005 4 1.00 2.26 .2006 3 1.00 2.13 .2007 3 1.00 2.39 .2008 2 1.00 2.02 .2009 2 1.00 1.93 .2010 1 1.00 1.98 .2011 2 1.00 1.85 .2012 1 1.00 2.02 .2013 3 1.00 1.92 .2014 1 1.00 1.73 .2015 2 1.00 1.85 .2016 2 1.00 1.75 .2017 3 1.00 1.86 .2018 2 1.00 1.69 .2019 2 1.00 1.73 .2020 3 1.00 1.80 .2021 4 1.00 1.70 .2022 6 1.00 1.64 .2023 1 1.00 1.63 .2024 1 1.00 1.61 .2025 1 1.00 1.63 .2026 3 1.00 1.64 .2027 1 1.00 1.70 .2028 1 1.00 1.72 .2029 2 1.00 1.71 .2030 1 1.00 1.62 .2031 1 1.00 1.62 .2032 1 1.00 1.68 .2033 2 1.00 1.79 .2034 2 1.00 1.89 .2035 1 1.00 1.80 .2036 1 1.00 1.70 .2037 1 1.00 1.80 .2038 2 1.00 1.87 .2039 2 1.00 1.86 .2040 2 1.00 1.90 .2041 2 1.00 1.95 .2042 3 1.00 1.95 .2043 4 1.00 2.01 .2044 3 1.00 1.81 .2045 1 1.00 1.86 .2046 1 1.00 1.74 .2047 1 1.00 1.82 EXTRACT_IMAGE: sdR-b1-00034754.fit: masked 2433 pixels EXTRACT_OBJECT: sdR-b1-00034754.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034754.fit: WARNING: Scattered light median = 20.3450 electrons QAPLOT_SCATLIGHT: sdR-b1-00034754.fit: WARNING: Scattered light max = 147.878 electrons EXTRACT_OBJECT: sdR-b1-00034754.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 7.11 .0004 2 0.92 5.86 .0005 2 0.92 5.08 .0006 2 0.92 4.80 .0007 1 0.92 4.42 .0008 2 0.92 4.12 .0009 1 0.92 3.95 .0010 2 0.92 3.73 .0011 3 0.92 3.50 .0012 3 0.93 3.46 .0013 2 0.93 3.13 .0014 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2.49 .1735 1 0.99 2.33 .1736 2 0.99 2.48 .1737 1 0.99 2.36 .1738 3 0.99 2.35 .1739 5 0.99 2.44 .1740 2 0.99 2.77 .1741 3 0.99 2.48 .1742 2 0.99 2.38 .1743 2 0.99 2.34 .1744 6 0.99 2.22 .1745 1 0.99 2.32 .1746 5 0.99 2.35 .1747 4 0.99 2.31 .1748 4 0.99 2.34 .1749 2 0.99 2.26 .1750 1 0.99 2.29 .1751 2 0.99 2.46 .1752 3 0.99 2.21 .1753 4 0.99 2.29 .1754 4 0.99 2.09 .1755 2 0.99 2.04 .1756 3 0.99 2.00 .1757 3 0.99 2.02 .1758 3 0.99 2.12 .1759 1 0.99 2.02 .1760 2 0.99 2.08 .1761 3 0.99 2.04 .1762 2 0.99 2.08 .1763 4 0.99 2.02 .1764 3 0.99 2.22 .1765 2 0.99 2.12 .1766 2 0.99 2.26 .1767 4 0.99 2.01 .1768 2 0.99 2.20 .1769 3 0.99 2.10 .1770 1 0.99 2.20 .1771 2 0.99 2.14 .1772 3 0.99 2.29 .1773 3 0.99 2.31 .1774 3 0.99 2.29 .1775 3 0.99 2.16 .1776 2 0.99 2.41 .1777 3 0.99 2.30 .1778 4 0.99 2.36 .1779 4 0.99 2.32 .1780 4 0.99 2.49 .1781 4 0.99 2.12 .1782 3 0.99 2.38 .1783 2 0.99 2.41 .1784 3 0.99 2.35 .1785 4 0.99 2.38 .1786 2 0.99 2.35 .1787 3 0.99 2.18 .1788 3 0.99 2.34 .1789 2 0.99 2.33 .1790 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2.49 .1846 2 0.99 2.43 .1847 3 0.99 2.40 .1848 3 0.99 2.41 .1849 2 0.99 2.66 .1850 2 0.99 2.55 .1851 3 0.99 2.48 .1852 5 0.99 2.43 .1853 3 0.99 2.61 .1854 4 0.99 2.65 .1855 4 0.99 2.39 .1856 2 0.99 2.39 .1857 2 0.99 2.61 .1858 3 0.99 2.31 .1859 3 0.99 2.31 .1860 4 0.99 2.35 .1861 2 0.99 2.39 .1862 2 0.99 2.38 .1863 2 0.99 2.42 .1864 3 0.99 2.30 .1865 3 0.99 2.41 .1866 3 0.99 2.37 .1867 3 0.99 2.52 .1868 2 0.99 2.26 .1869 3 0.99 2.43 .1870 5 0.99 2.27 .1871 2 0.99 2.44 .1872 3 0.99 2.40 .1873 3 0.99 2.25 .1874 3 0.99 2.38 .1875 4 0.99 2.21 .1876 2 0.99 2.11 .1877 5 0.99 2.01 .1878 5 0.99 2.11 .1879 2 0.99 2.08 .1880 4 0.99 2.12 .1881 3 0.99 2.05 .1882 5 0.99 2.07 .1883 3 0.99 2.05 .1884 4 0.99 1.91 .1885 2 0.99 1.96 .1886 3 0.99 2.01 .1887 3 0.99 1.77 .1888 2 0.99 1.88 .1889 2 0.99 1.87 .1890 2 0.99 1.77 .1891 2 0.99 1.97 .1892 4 0.99 1.77 .1893 1 0.99 1.88 .1894 3 0.99 1.87 .1895 3 0.99 1.86 .1896 2 0.99 1.99 .1897 3 0.99 1.92 .1898 2 0.99 1.95 .1899 3 0.99 2.00 .1900 2 0.99 2.14 .1901 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1.95 .1957 3 0.99 1.95 .1958 5 0.99 1.92 .1959 3 0.99 1.77 .1960 1 0.99 1.96 .1961 2 0.99 1.85 .1962 3 0.99 1.73 .1963 3 0.99 1.83 .1964 3 0.99 1.88 .1965 3 0.99 1.75 .1966 3 0.99 1.78 .1967 3 0.99 1.79 .1968 4 0.99 1.79 .1969 1 0.99 1.85 .1970 4 0.99 1.84 .1971 3 0.99 1.83 .1972 4 0.99 1.73 .1973 4 0.99 1.78 .1974 3 0.99 1.78 .1975 3 0.99 1.93 .1976 3 0.99 1.91 .1977 3 0.99 1.84 .1978 2 0.99 1.85 .1979 4 0.99 1.83 .1980 3 0.99 2.00 .1981 3 0.99 2.04 .1982 4 0.99 2.05 .1983 5 0.99 2.10 .1984 3 0.99 2.14 .1985 2 0.99 2.01 .1986 1 0.99 2.04 .1987 1 0.99 2.16 .1988 3 0.99 2.34 .1989 3 0.99 2.17 .1990 1 0.99 2.14 .1991 3 0.99 2.10 .1992 3 0.99 2.43 .1993 3 0.99 2.32 .1994 2 0.99 2.36 .1995 3 0.99 2.26 .1996 5 0.99 2.28 .1997 3 0.99 2.45 .1998 1 0.99 2.40 .1999 1 0.99 2.33 .2000 3 1.00 2.38 .2001 2 1.00 2.22 .2002 3 1.00 2.31 .2003 2 1.00 2.44 .2004 5 1.00 2.07 .2005 3 1.00 2.29 .2006 2 1.00 2.18 .2007 4 1.00 2.25 .2008 2 1.00 2.08 .2009 2 1.00 2.02 .2010 2 1.00 2.00 .2011 2 1.00 1.85 .2012 1 1.00 2.05 .2013 3 1.00 1.93 .2014 1 1.00 1.77 .2015 3 1.00 1.80 .2016 2 1.00 1.84 .2017 2 1.00 1.97 .2018 2 1.00 1.72 .2019 2 1.00 1.74 .2020 3 1.00 1.83 .2021 4 1.00 1.73 .2022 6 1.00 1.70 .2023 1 1.00 1.66 .2024 2 1.00 1.61 .2025 1 1.00 1.70 .2026 3 1.00 1.67 .2027 3 1.00 1.60 .2028 1 1.00 1.69 .2029 2 1.00 1.70 .2030 1 1.00 1.62 .2031 1 1.00 1.62 .2032 1 1.00 1.73 .2033 2 1.00 1.81 .2034 2 1.00 1.83 .2035 1 1.00 1.84 .2036 1 1.00 1.71 .2037 1 1.00 1.81 .2038 2 1.00 1.92 .2039 2 1.00 1.92 .2040 2 1.00 1.92 .2041 2 1.00 2.00 .2042 3 1.00 1.91 .2043 3 1.00 2.05 .2044 3 1.00 1.93 .2045 2 1.00 1.95 .2046 2 1.00 1.84 .2047 1 1.00 1.98 EXTRACT_IMAGE: sdR-b1-00034754.fit: masked 3915 pixels DIVIDEFLAT: sdR-b1-00034754.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034754.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034754.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034754.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034754.fit: Warning: Reject 420 low points in trace 279 DIVIDEFLAT: sdR-b1-00034754.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034754.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-b1-00034754.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034754.fit: sky shift reference line, offset: 5577.3390 -0.077481076 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 8 0.67889853 -6.4423496 0.11118652 0.60000000 0.0000000 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 17 0.73778727 27.466899 -0.39878799 0.87171453 0.0000000 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 28 3.2904779 48.542183 -0.20752154 0.60000000 34.096197 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 32 0.35863853 8.9508039 0.69318043 2.0000000 42.791395 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 43 0.38781876 44.998801 -0.11636594 0.87105316 0.0000000 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 44 1.4346496 42.431591 -1.0000000 2.0000000 34.889354 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 70 0.43552661 79.454110 -1.0000000 1.0689745 17.397110 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 78 0.70906827 46.325699 -1.0000000 1.9194952 38.697236 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 89 2.0091416 85.170709 -0.26389957 0.74349697 45.822961 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 95 1.4116718 61.859358 -1.0000000 0.60000000 32.932602 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 101 0.90518986 103.02718 0.14987597 1.2214564 8.6527730 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 123 0.84082859 106.03258 -0.039164663 1.1738728 0.0000000 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 124 0.85066797 76.572337 -0.61262714 1.7272444 25.244776 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 126 1.6098528 70.190283 -1.0000000 1.0641947 56.028559 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 134 0.34224404 48.458808 -0.99343047 0.60000000 19.618802 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 156 1.2615793 89.118952 -1.0000000 2.0000000 36.720484 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 203 4.4056293 92.525328 0.54144960 0.60000000 13.680263 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 216 1.4662169 48.202277 -0.98242783 1.3309812 54.892028 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 218 1.6269695 44.100190 -1.0000000 0.87911858 25.642449 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 245 0.95791945 79.348448 -1.0000000 2.0000000 28.816354 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 255 1.3387397 80.966809 -1.0000000 1.2850142 9.2184465 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 262 0.69711386 52.313102 -0.54611977 1.0822331 63.561964 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 267 0.88109087 36.143325 -0.52626755 0.88907747 50.907147 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 273 0.72883545 27.869127 -1.0000000 0.81204035 27.079808 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 283 1.9750357 51.779845 -0.81024496 0.60000000 21.795890 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 289 0.72737676 55.716391 -1.0000000 1.3815822 32.426098 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 311 0.23613997 79.503780 -0.97435534 0.65613867 85.087228 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 314 0.57941450 63.498380 -1.0000000 0.84402673 39.901153 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 0 317 1.9926581 62.665107 -1.0000000 1.2186177 42.192035 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: trimmed 1high points: 0.97537240 LOCATESKYLINES_2: sdR-b1-00034754.fit: comb1 l,chi^2/dof,fit: 0 0.16586817 -0.021344645 -0.79800477 1.1258906 0.86860500 LOCATESKYLINES_2: sdR-b1-00034754.fit: kept 62 of 62 points LOCATESKYLINES_2: sdR-b1-00034754.fit: offset, refoff, sigma: -0.875486-0.7980050.176540 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 8 0.80354501 -68.663492 -0.14159012 1.7587593 140.04434 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 17 1.7914503 -37.365820 -0.21165660 1.2348646 141.80492 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 28 1.0873762 11.105729 -0.48907518 1.4933537 131.37858 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 32 1.6218880 -17.972450 -0.070728928 1.0313363 193.39065 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 43 0.82440018 3.5641813 -0.13208313 1.5669394 140.76563 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 44 2.8233180 32.935133 -0.096364708 1.1792596 216.29594 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 70 1.0223026 67.716131 -0.45137723 1.5266917 186.77109 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 78 0.88893774 65.074614 -0.14726468 1.3073266 191.09308 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 89 1.2276955 90.882545 -0.26859116 1.1340722 172.09104 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 95 3.2127354 80.965530 -0.65083185 1.4897055 181.04582 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 101 0.87465248 143.08242 -0.43825765 1.1006189 165.58105 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 123 1.4383504 151.58928 -0.30353013 0.94607575 170.71247 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 124 0.66766217 108.58457 -0.070489484 1.6431899 153.84357 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 126 3.0873308 98.812368 -0.46768895 1.2252223 171.48155 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 134 0.74202288 97.468451 -0.053462644 1.0338258 161.36331 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 156 4.3274336 132.20184 -0.068609016 1.3670732 165.24883 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 203 1.5556532 109.89531 -0.072264082 1.0096340 162.52200 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 216 1.2357937 93.322108 -0.34070918 1.3578372 152.31353 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 218 1.3816363 85.447376 0.033335900 1.1011094 192.10895 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 245 1.2173639 113.41090 0.076683329 0.79287138 209.63389 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 255 0.88346803 86.077296 -0.081049010 1.4789627 177.16675 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 262 0.87255538 96.692036 0.12259569 0.79759351 152.23774 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 267 0.49101489 34.979091 -0.20845704 1.3876157 163.65962 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 273 0.55911696 28.698591 -0.38215890 1.2728497 175.27344 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 283 0.86125210 48.461566 -0.16361854 1.1477684 148.97192 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 289 0.93077962 60.624251 0.091318827 1.2827281 174.46621 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 311 0.56881086 117.30204 -0.44962484 1.0669908 191.80598 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 314 0.38219875 81.225757 -0.086359338 1.5726445 185.91181 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 1 317 0.97300722 107.12212 -0.066523525 1.4222874 207.56270 LOCATESKYLINES_2: sdR-b1-00034754.fit: comb1 l,chi^2/dof,fit: 1 1.2636217 0.010055985 -0.18447330 1.2520476 0.96158595 LOCATESKYLINES_2: sdR-b1-00034754.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-b1-00034754.fit: offset, refoff, sigma: -0.261954-0.1844730.030945 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 8 1.1787494 -246.50845 -0.0096578434 1.3405320 308.18141 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 17 1.7269287 -297.09984 0.33356404 1.3635080 303.33959 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 28 0.50443385 -131.77569 -0.082574715 1.2319848 249.77806 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 32 0.41559089 -190.21120 -0.094252465 1.1301629 300.51467 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 43 0.75973532 -99.716284 0.0053547918 1.0819346 342.23500 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 44 1.4317032 -35.637400 -0.055170071 1.0328663 276.37653 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 70 1.2153045 109.71160 -0.14636504 1.1050546 275.70855 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 78 0.86013725 95.831099 -0.11736056 1.2048288 262.16051 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 89 0.67611009 119.05569 -0.0072990341 1.0186520 319.36829 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 95 0.86119955 111.65743 0.046923175 1.0775713 307.43472 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 101 0.46054395 162.78627 0.13916483 1.2108523 290.69882 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 123 3.6047109 172.27447 -0.14904495 1.2725396 276.70451 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 124 1.2422960 149.28289 0.16249262 1.0975761 258.07456 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 126 0.47342652 165.12337 -0.23891112 0.83840291 317.73932 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 134 1.3798883 120.52750 0.13604735 1.0108240 318.28603 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 156 1.4745802 219.22920 0.15251378 0.96096419 321.38203 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 203 0.40033856 145.03678 0.053369441 1.0211317 312.33131 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 216 2.7906603 138.41045 -0.19696120 1.1112555 293.33946 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 218 0.80198995 156.72602 -0.095790407 0.97323557 276.01756 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 245 0.42505842 178.48471 -0.019898314 1.0672284 297.21871 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 255 1.4895001 187.67389 -0.066495234 1.1599220 267.16495 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 262 1.1169122 181.82712 0.080558048 1.2292010 234.73880 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 267 0.79584986 146.96535 -0.036158751 0.96840126 259.98251 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 273 1.8072530 73.953213 0.044822582 1.2070869 276.67506 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 283 0.77154614 85.020301 0.077982966 1.3893651 298.00985 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 289 0.18590695 97.606961 -0.13026394 1.0871649 310.48332 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 311 1.1688738 207.09075 -0.064013750 1.1477982 292.97002 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 314 0.36350801 195.09685 0.099071969 1.0768248 314.71485 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 2 317 1.4918216 199.62267 -0.012787441 0.94330059 272.45586 LOCATESKYLINES_2: sdR-b1-00034754.fit: comb1 l,chi^2/dof,fit: 2 0.96068635 0.0056651523 -0.0088094109 1.0919293 0.98812954 LOCATESKYLINES_2: sdR-b1-00034754.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-b1-00034754.fit: offset, refoff, sigma: -0.086290-0.0088090.020757 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 8 2.3049926 -235.31568 -0.087344008 0.96596507 2096.3002 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 17 1.4975238 -349.87084 -0.051062830 1.0032001 2061.8658 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 28 2.7936539 -233.23844 -0.065465197 0.97843315 2165.8033 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 32 2.6765710 -228.40232 -0.095727886 0.94559038 2195.8125 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 43 3.1572240 -118.52893 -0.091810804 0.94015452 2103.6150 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 44 1.1049805 -69.335716 -0.086596733 0.97364257 2186.0588 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 70 1.0825854 95.667291 -0.083271444 0.93856770 2173.7476 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 78 3.3415503 110.98591 -0.074546011 0.94447104 2185.2232 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 89 1.3300487 92.067534 -0.088660634 0.94665793 2281.8171 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 95 0.72169766 117.48893 -0.054958932 0.91249440 2321.1353 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 101 3.8436413 156.12580 -0.063076979 0.91901724 2290.8896 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 123 1.3916752 209.70080 -0.068586318 0.92118621 2218.3284 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 124 2.3061431 156.05143 -0.061595099 0.96574893 2144.5664 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 126 2.2811842 129.78537 -0.077122315 0.94182616 2218.7399 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 134 0.070433371 136.76229 -0.054866419 0.89333078 2377.7568 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 156 2.3213544 208.10855 -0.049129274 0.91980837 2167.7075 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 203 2.0376547 140.57961 -0.036126821 0.92046497 2139.0043 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 216 1.0964447 97.213173 -0.026859171 0.95497155 2168.3057 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 218 5.9061836 87.889142 -0.034121552 0.96482402 2162.1030 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 245 1.0667845 151.66017 -0.0082858370 0.97958200 2132.3434 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 255 4.2315049 160.56113 -0.054256305 0.94663060 2223.6320 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 262 4.9150123 142.20761 -0.022068490 0.99465706 2081.7927 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 267 0.92162340 70.246933 -0.026360870 0.99001428 2092.0787 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 273 1.4402264 47.013342 0.0034075567 0.97639414 2165.2749 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 283 2.9190288 88.032003 -0.0056732162 0.91539043 2148.9152 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 289 2.6156274 101.41328 -0.016440119 0.92985483 2266.9620 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 311 1.5150724 179.10055 0.015144430 0.95768652 2137.4938 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 314 2.9583005 186.25050 -0.0051276664 0.92192474 2259.2883 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 3 317 3.8355471 147.93327 -0.027987959 0.98668104 2221.7741 LOCATESKYLINES_2: sdR-b1-00034754.fit: comb1 l,chi^2/dof,fit: 3 1.9816058 4.8624991e-05 -0.048738775 0.94756166 0.99857069 LOCATESKYLINES_2: sdR-b1-00034754.fit: sigma-clipped to 258 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034754.fit: comb2 l,chi^2/dof,fit: 3 1.7443616 0.00033856448 -0.054278544 0.94546738 0.99572833 LOCATESKYLINES_2: sdR-b1-00034754.fit: kept 258 of 261 points LOCATESKYLINES_2: sdR-b1-00034754.fit: offset, refoff, sigma: -0.131760-0.0542790.003866 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 8 20.223492 -50.044430 -0.059205793 0.85678517 527.58045 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 17 4.5552360 -206.06049 0.054078272 0.84061409 630.50159 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 28 11.322857 -118.38185 0.029142883 0.87839174 551.93578 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 32 7.5868359 -140.10948 0.0077067690 0.85298695 564.54140 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 43 15.806778 -44.368420 -0.036906124 0.96853470 527.21402 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 44 14.962170 -6.7787908 -0.017799901 0.85891878 510.54019 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 70 6.3865219 116.07062 -0.040581520 0.85981555 563.62524 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 78 23.830902 110.77164 0.080922963 0.86542121 554.67152 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 89 14.030107 106.07600 0.073730919 0.80750312 658.75614 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 95 32.893678 154.01684 0.016126744 0.68052089 655.74847 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 101 35.115320 194.66721 -0.011796239 0.81350994 582.48790 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 123 18.825369 145.77936 0.010609831 0.87354508 581.17093 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 124 12.705030 152.03155 -0.031146765 0.88418733 493.86024 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 126 23.757931 101.51210 0.049990827 0.85759174 670.32818 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 134 14.821110 119.82332 0.048368874 0.87925526 570.74093 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 156 26.841578 212.12570 0.067996223 0.84519597 563.53825 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 203 12.794775 96.745430 -0.037728998 0.89811200 525.57217 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 216 29.620162 143.30413 0.022119600 0.79790965 594.66388 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 218 17.226322 167.67307 0.041554607 0.67412584 511.71344 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 245 19.354236 186.05446 0.094608507 0.81222838 551.12865 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 255 22.984708 146.92204 0.049150162 0.91181772 577.69324 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 262 10.853417 145.04992 0.090663487 0.88929971 532.28741 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 267 16.460526 148.52117 0.066516843 0.82400399 515.92126 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 273 8.9686788 78.811935 0.0044036890 0.92521468 593.26058 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 283 6.2312549 105.10787 -0.013626820 0.82378905 636.77521 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 289 17.929808 156.81204 0.086900803 0.78228153 573.68199 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 311 16.429978 135.34114 0.11119482 0.91794056 566.77664 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 314 20.785795 199.45850 0.019557608 0.83069420 519.16779 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 4 317 25.125871 211.61492 -0.00094369169 0.76690468 573.10145 LOCATESKYLINES_2: sdR-b1-00034754.fit: comb1 l,chi^2/dof,fit: 4 10.301708 0.00061687345 0.027567554 0.84203663 0.99371933 LOCATESKYLINES_2: sdR-b1-00034754.fit: sigma-clipped to 228 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034754.fit: comb2 l,chi^2/dof,fit: 4 1.7541303 -0.069185891 0.026982433 0.92005585 1.0442003 LOCATESKYLINES_2: sdR-b1-00034754.fit: kept 228 of 261 points LOCATESKYLINES_2: sdR-b1-00034754.fit: offset, refoff, sigma: -0.0504990.0269820.009474 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 8 43.503993 -42.329506 -0.031724906 0.65091155 333.83461 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 17 23.649456 -155.98958 -0.13437536 0.67112480 252.90412 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 28 24.692108 -125.21268 0.025854112 0.76919296 327.39196 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 32 27.771983 -112.26086 -0.0052870231 0.73442109 309.52337 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 43 17.835118 -10.376505 0.031845783 0.76853840 250.34582 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 44 21.599883 3.2421825 0.062794669 0.72291681 352.68287 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 70 55.659699 138.34570 -0.056918795 0.72834020 355.06930 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 78 18.082337 97.960976 -0.082112304 0.81028230 385.62759 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 89 44.478788 120.77378 -0.090799003 0.85809745 370.79781 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 95 60.571696 156.97695 0.099061480 0.67877226 369.48765 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 101 73.999310 213.73625 -0.018227376 0.62462255 343.64202 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 123 33.344538 142.69096 -0.076112515 0.83177363 353.90593 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 124 30.705847 137.95906 -0.041205034 0.78485585 361.44926 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 126 34.086571 120.87759 0.0053651989 0.79373766 391.07472 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 134 25.838895 125.33063 0.068870842 0.78163095 290.99225 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 156 33.308014 194.82511 0.034252518 0.79638538 397.44883 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 203 32.829804 154.74560 0.13891521 0.74197564 285.54921 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 216 61.727688 165.88761 -0.049646102 0.73377988 309.97987 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 218 40.889530 183.24412 0.026044729 0.60000000 267.12711 LOCATESKYLINES_2: sdR-b1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 245 14.069886 154.97214 0.083766335 0.78375243 338.92809 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 255 34.882075 146.26355 0.073371593 0.80809020 366.24358 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 262 31.120558 154.56042 0.073492234 0.77555980 331.79341 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 267 14.447462 125.67434 -0.014189703 0.82566089 333.53298 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 273 51.787943 125.05045 0.0078506990 0.74976894 300.12644 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 283 39.005513 168.59810 0.031920072 0.68804691 296.56599 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 289 15.378583 95.024203 0.088582774 0.88439646 361.24533 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 311 29.367916 164.38556 0.064624227 0.74009551 378.03687 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 314 22.996728 160.77153 0.025904129 0.86875773 399.87803 LOCATESKYLINES_2: sdR-b1-00034754.fit: l,f,chi^2/dof,c: 5 317 54.583504 215.72398 0.00013193743 0.67190848 330.78847 LOCATESKYLINES_2: sdR-b1-00034754.fit: trimmed 1high points: 1.1785631 LOCATESKYLINES_2: sdR-b1-00034754.fit: comb1 l,chi^2/dof,fit: 5 18.388202 -0.0088166943 0.019977455 0.80000000 0.98286785 LOCATESKYLINES_2: sdR-b1-00034754.fit: sigma-clipped to 215 of 251 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034754.fit: comb2 l,chi^2/dof,fit: 5 1.4711568 -0.15270935 0.024331536 0.92346612 1.1119714 LOCATESKYLINES_2: sdR-b1-00034754.fit: kept 215 of 251 points LOCATESKYLINES_2: sdR-b1-00034754.fit: offset, refoff, sigma: -0.0531500.0243320.013680 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 8054.0023 DOF = 1542 P(0) = 29.6815 P(1) = 0.00000 P(2) = 29.6815 P(3) = 29.6815 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 3424.7712 DOF = 1542 P(0) = 61.8332 P(1) = 3.52823E-06 P(2) = 73.3824 P(3) = 39.8658 P(4) = 0.000130000 P(5) = 0.162984 Iter 3 CHI-SQUARE = 3424.7711 DOF = 1542 P(0) = 61.8649 P(1) = 3.55346E-06 P(2) = 73.5071 P(3) = 40.0454 P(4) = 0.000130000 P(5) = 0.163137 Iter 4 CHI-SQUARE = 3424.7634 DOF = 1542 P(0) = 61.8386 P(1) = 3.56645E-06 P(2) = 73.4881 P(3) = 40.0479 P(4) = 0.000130000 P(5) = 0.162774 Iter 5 CHI-SQUARE = 3424.7622 DOF = 1542 P(0) = 61.8390 P(1) = 3.57989E-06 P(2) = 73.4951 P(3) = 40.0608 P(4) = 0.000130000 P(5) = 0.162655 Iter 6 CHI-SQUARE = 3424.7600 DOF = 1542 P(0) = 61.8266 P(1) = 3.59133E-06 P(2) = 73.4838 P(3) = 40.0603 P(4) = 0.000130000 P(5) = 0.162804 Iter 7 CHI-SQUARE = 3424.7595 DOF = 1542 P(0) = 61.8300 P(1) = 3.59826E-06 P(2) = 73.4900 P(3) = 40.0658 P(4) = 0.000130000 P(5) = 0.163192 Iter 8 CHI-SQUARE = 3424.7586 DOF = 1542 P(0) = 61.8283 P(1) = 3.60552E-06 P(2) = 73.4880 P(3) = 40.0662 P(4) = 0.000130000 P(5) = 0.162929 Iter 9 CHI-SQUARE = 3424.7571 DOF = 1542 P(0) = 61.8249 P(1) = 3.61958E-06 P(2) = 73.4828 P(3) = 40.0672 P(4) = 0.000130000 P(5) = 0.162636 Iter 10 CHI-SQUARE = 3424.7566 DOF = 1542 P(0) = 61.8170 P(1) = 3.62519E-06 P(2) = 73.4738 P(3) = 40.0652 P(4) = 0.000130000 P(5) = 0.162723 Iter 11 CHI-SQUARE = 3424.7563 DOF = 1542 P(0) = 61.8263 P(1) = 3.62741E-06 P(2) = 73.4857 P(3) = 40.0704 P(4) = 0.000130000 P(5) = 0.163052 Iter 12 CHI-SQUARE = 3424.7557 DOF = 1542 P(0) = 61.8180 P(1) = 3.63531E-06 P(2) = 73.4765 P(3) = 40.0681 P(4) = 0.000130000 P(5) = 0.163362 Iter 13 CHI-SQUARE = 3424.7549 DOF = 1542 P(0) = 61.8140 P(1) = 3.64409E-06 P(2) = 73.4716 P(3) = 40.0692 P(4) = 0.000130000 P(5) = 0.163253 Iter 14 CHI-SQUARE = 3424.7537 DOF = 1542 P(0) = 61.8210 P(1) = 3.65226E-06 P(2) = 73.4778 P(3) = 40.0722 P(4) = 0.000130000 P(5) = 0.162739 Iter 15 CHI-SQUARE = 3424.7532 DOF = 1542 P(0) = 61.8136 P(1) = 3.65960E-06 P(2) = 73.4691 P(3) = 40.0700 P(4) = 0.000130000 P(5) = 0.162936 Iter 16 CHI-SQUARE = 3424.7526 DOF = 1542 P(0) = 61.8299 P(1) = 3.66452E-06 P(2) = 73.4868 P(3) = 40.0747 P(4) = 0.000130000 P(5) = 0.162831 Iter 17 CHI-SQUARE = 3424.7520 DOF = 1542 P(0) = 61.8082 P(1) = 3.67737E-06 P(2) = 73.4620 P(3) = 40.0703 P(4) = 0.000130000 P(5) = 0.163145 Iter 18 CHI-SQUARE = 3424.7498 DOF = 1542 P(0) = 61.8277 P(1) = 3.69131E-06 P(2) = 73.4823 P(3) = 40.0756 P(4) = 0.000130000 P(5) = 0.163103 Iter 19 CHI-SQUARE = 3424.7491 DOF = 1542 P(0) = 61.8231 P(1) = 3.69923E-06 P(2) = 73.4743 P(3) = 40.0739 P(4) = 0.000130000 P(5) = 0.162332 Iter 20 CHI-SQUARE = 3424.7479 DOF = 1542 P(0) = 61.8252 P(1) = 3.70813E-06 P(2) = 73.4771 P(3) = 40.0748 P(4) = 0.000130000 P(5) = 0.162958 Iter 21 CHI-SQUARE = 3424.7475 DOF = 1542 P(0) = 61.8153 P(1) = 3.71398E-06 P(2) = 73.4656 P(3) = 40.0730 P(4) = 0.000130000 P(5) = 0.162913 Iter 22 CHI-SQUARE = 3424.7468 DOF = 1542 P(0) = 61.8277 P(1) = 3.71972E-06 P(2) = 73.4790 P(3) = 40.0778 P(4) = 0.000130000 P(5) = 0.162711 Iter 23 CHI-SQUARE = 3424.7464 DOF = 1542 P(0) = 61.8095 P(1) = 3.73266E-06 P(2) = 73.4569 P(3) = 40.0746 P(4) = 0.000130000 P(5) = 0.162400 Iter 24 CHI-SQUARE = 3424.7451 DOF = 1542 P(0) = 61.8074 P(1) = 3.74778E-06 P(2) = 73.4540 P(3) = 40.0771 P(4) = 0.000130000 P(5) = 0.162440 Iter 25 CHI-SQUARE = 3424.7429 DOF = 1542 P(0) = 61.8311 P(1) = 3.76020E-06 P(2) = 73.4799 P(3) = 40.0810 P(4) = 0.000130000 P(5) = 0.162967 Iter 26 CHI-SQUARE = 3424.7424 DOF = 1542 P(0) = 61.8224 P(1) = 3.76166E-06 P(2) = 73.4694 P(3) = 40.0761 P(4) = 0.000130000 P(5) = 0.163013 Iter 27 CHI-SQUARE = 3424.7423 DOF = 1542 P(0) = 61.8293 P(1) = 3.76708E-06 P(2) = 73.4774 P(3) = 40.0796 P(4) = 0.000130000 P(5) = 0.163321 Iter 28 CHI-SQUARE = 3424.7412 DOF = 1542 P(0) = 61.8260 P(1) = 3.77409E-06 P(2) = 73.4725 P(3) = 40.0787 P(4) = 0.000130000 P(5) = 0.163117 Iter 29 CHI-SQUARE = 3424.7408 DOF = 1542 P(0) = 61.8293 P(1) = 3.78128E-06 P(2) = 73.4759 P(3) = 40.0801 P(4) = 0.000130000 P(5) = 0.163305 Iter 30 CHI-SQUARE = 3424.7404 DOF = 1542 P(0) = 61.8273 P(1) = 3.78443E-06 P(2) = 73.4735 P(3) = 40.0792 P(4) = 0.000130000 P(5) = 0.163341 Iter 31 CHI-SQUARE = 3424.7399 DOF = 1542 P(0) = 61.8218 P(1) = 3.78598E-06 P(2) = 73.4661 P(3) = 40.0780 P(4) = 0.000130000 P(5) = 0.162923 Iter 32 CHI-SQUARE = 3424.7393 DOF = 1542 P(0) = 61.8230 P(1) = 3.79240E-06 P(2) = 73.4666 P(3) = 40.0805 P(4) = 0.000130000 P(5) = 0.162648 Iter 33 CHI-SQUARE = 3424.7390 DOF = 1542 P(0) = 61.8162 P(1) = 3.79679E-06 P(2) = 73.4589 P(3) = 40.0789 P(4) = 0.000130000 P(5) = 0.162727 Iter 34 CHI-SQUARE = 3424.7383 DOF = 1542 P(0) = 61.8192 P(1) = 3.80182E-06 P(2) = 73.4627 P(3) = 40.0815 P(4) = 0.000130000 P(5) = 0.162870 Iter 35 CHI-SQUARE = 3424.7378 DOF = 1542 P(0) = 61.8153 P(1) = 3.81099E-06 P(2) = 73.4567 P(3) = 40.0814 P(4) = 0.000130000 P(5) = 0.162459 Iter 36 CHI-SQUARE = 3424.7365 DOF = 1542 P(0) = 61.8194 P(1) = 3.82006E-06 P(2) = 73.4620 P(3) = 40.0828 P(4) = 0.000130000 P(5) = 0.163103 Iter 37 CHI-SQUARE = 3424.7351 DOF = 1542 P(0) = 61.8268 P(1) = 3.83841E-06 P(2) = 73.4688 P(3) = 40.0843 P(4) = 0.000130000 P(5) = 0.163533 Iter 38 CHI-SQUARE = 3424.7328 DOF = 1542 P(0) = 61.8190 P(1) = 3.85752E-06 P(2) = 73.4578 P(3) = 40.0844 P(4) = 0.000130000 P(5) = 0.163182 Iter 39 CHI-SQUARE = 3424.7302 DOF = 1542 P(0) = 61.8396 P(1) = 3.89502E-06 P(2) = 73.4740 P(3) = 40.0888 P(4) = 0.000130000 P(5) = 0.162541 Iter 40 CHI-SQUARE = 3424.7282 DOF = 1542 P(0) = 61.8156 P(1) = 3.93238E-06 P(2) = 73.4423 P(3) = 40.0896 P(4) = 0.000130000 P(5) = 0.161244 Iter 41 CHI-SQUARE = 3424.7265 DOF = 1542 P(0) = 61.7899 P(1) = 3.96928E-06 P(2) = 73.4153 P(3) = 40.0916 P(4) = 0.000130000 P(5) = 0.162116 Iter 42 CHI-SQUARE = 3424.7199 DOF = 1542 P(0) = 61.8169 P(1) = 3.98548E-06 P(2) = 73.4464 P(3) = 40.0964 P(4) = 0.000130000 P(5) = 0.163214 Iter 43 CHI-SQUARE = 3424.7191 DOF = 1542 P(0) = 61.8158 P(1) = 3.99684E-06 P(2) = 73.4414 P(3) = 40.0952 P(4) = 0.000130000 P(5) = 0.162306 Iter 44 CHI-SQUARE = 3424.7187 DOF = 1542 P(0) = 61.8348 P(1) = 4.00582E-06 P(2) = 73.4628 P(3) = 40.0974 P(4) = 0.000130000 P(5) = 0.163307 Iter 45 CHI-SQUARE = 3424.7167 DOF = 1542 P(0) = 61.8162 P(1) = 4.01689E-06 P(2) = 73.4400 P(3) = 40.0939 P(4) = 0.000130000 P(5) = 0.162885 Iter 46 CHI-SQUARE = 3424.7144 DOF = 1542 P(0) = 61.8144 P(1) = 4.04189E-06 P(2) = 73.4357 P(3) = 40.0977 P(4) = 0.000130000 P(5) = 0.162583 Iter 47 CHI-SQUARE = 3424.7130 DOF = 1542 P(0) = 61.8056 P(1) = 4.06542E-06 P(2) = 73.4244 P(3) = 40.0989 P(4) = 0.000130000 P(5) = 0.162498 Iter 48 CHI-SQUARE = 3424.7128 DOF = 1542 P(0) = 61.8290 P(1) = 4.08574E-06 P(2) = 73.4521 P(3) = 40.1018 P(4) = 0.000130000 P(5) = 0.164470 Iter 49 CHI-SQUARE = 3424.7091 DOF = 1542 P(0) = 61.8138 P(1) = 4.09437E-06 P(2) = 73.4316 P(3) = 40.0994 P(4) = 0.000130000 P(5) = 0.163148 Iter 50 CHI-SQUARE = 3424.7079 DOF = 1542 P(0) = 61.8285 P(1) = 4.11734E-06 P(2) = 73.4422 P(3) = 40.1044 P(4) = 0.000130000 P(5) = 0.161816 Iter 51 CHI-SQUARE = 3424.7060 DOF = 1542 P(0) = 61.8372 P(1) = 4.13898E-06 P(2) = 73.4529 P(3) = 40.1050 P(4) = 0.000130000 P(5) = 0.163480 Iter 52 CHI-SQUARE = 3424.7026 DOF = 1542 P(0) = 61.8334 P(1) = 4.16354E-06 P(2) = 73.4444 P(3) = 40.1062 P(4) = 0.000130000 P(5) = 0.162616 Iter 53 CHI-SQUARE = 3424.7017 DOF = 1542 P(0) = 61.8276 P(1) = 4.17307E-06 P(2) = 73.4365 P(3) = 40.1062 P(4) = 0.000130000 P(5) = 0.162141 Iter 54 CHI-SQUARE = 3424.7001 DOF = 1542 P(0) = 61.8231 P(1) = 4.18313E-06 P(2) = 73.4321 P(3) = 40.1066 P(4) = 0.000130000 P(5) = 0.162613 Iter 55 CHI-SQUARE = 3424.6998 DOF = 1542 P(0) = 61.8193 P(1) = 4.18634E-06 P(2) = 73.4292 P(3) = 40.1063 P(4) = 0.000130000 P(5) = 0.163111 Iter 56 CHI-SQUARE = 3424.6993 DOF = 1542 P(0) = 61.8237 P(1) = 4.19484E-06 P(2) = 73.4345 P(3) = 40.1087 P(4) = 0.000130000 P(5) = 0.163456 Iter 57 CHI-SQUARE = 3424.6986 DOF = 1542 P(0) = 61.8282 P(1) = 4.20388E-06 P(2) = 73.4386 P(3) = 40.1097 P(4) = 0.000130000 P(5) = 0.163432 Iter 58 CHI-SQUARE = 3424.6977 DOF = 1542 P(0) = 61.8134 P(1) = 4.21021E-06 P(2) = 73.4198 P(3) = 40.1073 P(4) = 0.000130000 P(5) = 0.162627 Iter 59 CHI-SQUARE = 3424.6965 DOF = 1542 P(0) = 61.8185 P(1) = 4.21901E-06 P(2) = 73.4258 P(3) = 40.1106 P(4) = 0.000130000 P(5) = 0.162853 Iter 60 CHI-SQUARE = 3424.6954 DOF = 1542 P(0) = 61.8185 P(1) = 4.23623E-06 P(2) = 73.4223 P(3) = 40.1116 P(4) = 0.000130000 P(5) = 0.162126 Iter 61 CHI-SQUARE = 3424.6934 DOF = 1542 P(0) = 61.8273 P(1) = 4.25378E-06 P(2) = 73.4307 P(3) = 40.1134 P(4) = 0.000130000 P(5) = 0.162455 Iter 62 CHI-SQUARE = 3424.6920 DOF = 1542 P(0) = 61.8436 P(1) = 4.28697E-06 P(2) = 73.4446 P(3) = 40.1157 P(4) = 0.000130000 P(5) = 0.162826 Iter 63 CHI-SQUARE = 3424.6895 DOF = 1542 P(0) = 61.8187 P(1) = 4.28978E-06 P(2) = 73.4173 P(3) = 40.1104 P(4) = 0.000130000 P(5) = 0.162784 Iter 64 CHI-SQUARE = 3424.6889 DOF = 1542 P(0) = 61.8177 P(1) = 4.30611E-06 P(2) = 73.4143 P(3) = 40.1159 P(4) = 0.000130000 P(5) = 0.161916 Iter 65 CHI-SQUARE = 3424.6867 DOF = 1542 P(0) = 61.8295 P(1) = 4.32197E-06 P(2) = 73.4280 P(3) = 40.1182 P(4) = 0.000130000 P(5) = 0.162863 Iter 66 CHI-SQUARE = 3424.6859 DOF = 1542 P(0) = 61.7981 P(1) = 4.35335E-06 P(2) = 73.3904 P(3) = 40.1179 P(4) = 0.000130000 P(5) = 0.162232 Iter 67 CHI-SQUARE = 3424.6830 DOF = 1542 P(0) = 61.8159 P(1) = 4.36552E-06 P(2) = 73.4130 P(3) = 40.1215 P(4) = 0.000130000 P(5) = 0.163742 Iter 68 CHI-SQUARE = 3424.6800 DOF = 1542 P(0) = 61.8312 P(1) = 4.39696E-06 P(2) = 73.4242 P(3) = 40.1232 P(4) = 0.000130000 P(5) = 0.163455 Iter 69 CHI-SQUARE = 3424.6785 DOF = 1542 P(0) = 61.8183 P(1) = 4.41032E-06 P(2) = 73.4100 P(3) = 40.1217 P(4) = 0.000130000 P(5) = 0.163713 Iter 70 CHI-SQUARE = 3424.6769 DOF = 1542 P(0) = 61.8169 P(1) = 4.42432E-06 P(2) = 73.4075 P(3) = 40.1238 P(4) = 0.000130000 P(5) = 0.163575 Iter 71 CHI-SQUARE = 3424.6759 DOF = 1542 P(0) = 61.8137 P(1) = 4.43319E-06 P(2) = 73.4009 P(3) = 40.1247 P(4) = 0.000130000 P(5) = 0.162394 Iter 72 CHI-SQUARE = 3424.6751 DOF = 1542 P(0) = 61.8285 P(1) = 4.44244E-06 P(2) = 73.4162 P(3) = 40.1279 P(4) = 0.000130000 P(5) = 0.162371 Iter 73 CHI-SQUARE = 3424.6751 DOF = 1542 P(0) = 61.8348 P(1) = 4.45121E-06 P(2) = 73.4236 P(3) = 40.1269 P(4) = 0.000130000 P(5) = 0.163384 Iter 74 CHI-SQUARE = 3424.6735 DOF = 1542 P(0) = 61.8232 P(1) = 4.45434E-06 P(2) = 73.4090 P(3) = 40.1225 P(4) = 0.000130000 P(5) = 0.162996 Iter 75 CHI-SQUARE = 3424.6732 DOF = 1542 P(0) = 61.8145 P(1) = 4.45863E-06 P(2) = 73.3988 P(3) = 40.1238 P(4) = 0.000130000 P(5) = 0.162718 Iter 76 CHI-SQUARE = 3424.6726 DOF = 1542 P(0) = 61.8167 P(1) = 4.46420E-06 P(2) = 73.4016 P(3) = 40.1270 P(4) = 0.000130000 P(5) = 0.162619 Iter 77 CHI-SQUARE = 3424.6723 DOF = 1542 P(0) = 61.8131 P(1) = 4.47427E-06 P(2) = 73.3959 P(3) = 40.1274 P(4) = 0.000130000 P(5) = 0.162136 Iter 78 CHI-SQUARE = 3424.6713 DOF = 1542 P(0) = 61.8308 P(1) = 4.48257E-06 P(2) = 73.4165 P(3) = 40.1303 P(4) = 0.000130000 P(5) = 0.163073 Iter 79 CHI-SQUARE = 3424.6701 DOF = 1542 P(0) = 61.8298 P(1) = 4.49444E-06 P(2) = 73.4135 P(3) = 40.1291 P(4) = 0.000130000 P(5) = 0.163081 Iter 80 CHI-SQUARE = 3424.6687 DOF = 1542 P(0) = 61.8271 P(1) = 4.50604E-06 P(2) = 73.4087 P(3) = 40.1296 P(4) = 0.000130000 P(5) = 0.162724 Iter 81 CHI-SQUARE = 3424.6670 DOF = 1542 P(0) = 61.8293 P(1) = 4.52758E-06 P(2) = 73.4101 P(3) = 40.1314 P(4) = 0.000130000 P(5) = 0.163271 Iter 82 CHI-SQUARE = 3424.6659 DOF = 1542 P(0) = 61.8114 P(1) = 4.53550E-06 P(2) = 73.3895 P(3) = 40.1292 P(4) = 0.000130000 P(5) = 0.162844 Iter 83 CHI-SQUARE = 3424.6636 DOF = 1542 P(0) = 61.8180 P(1) = 4.55592E-06 P(2) = 73.3956 P(3) = 40.1337 P(4) = 0.000130000 P(5) = 0.162884 Iter 84 CHI-SQUARE = 3424.6630 DOF = 1542 P(0) = 61.8305 P(1) = 4.56798E-06 P(2) = 73.4078 P(3) = 40.1358 P(4) = 0.000130000 P(5) = 0.162800 Iter 85 CHI-SQUARE = 3424.6628 DOF = 1542 P(0) = 61.8030 P(1) = 4.57729E-06 P(2) = 73.3769 P(3) = 40.1320 P(4) = 0.000130000 P(5) = 0.162726 Iter 86 CHI-SQUARE = 3424.6612 DOF = 1542 P(0) = 61.8159 P(1) = 4.58228E-06 P(2) = 73.3924 P(3) = 40.1379 P(4) = 0.000130000 P(5) = 0.162891 Iter 87 CHI-SQUARE = 3424.6603 DOF = 1542 P(0) = 61.8251 P(1) = 4.59510E-06 P(2) = 73.4011 P(3) = 40.1372 P(4) = 0.000130000 P(5) = 0.163293 Iter 88 CHI-SQUARE = 3424.6596 DOF = 1542 P(0) = 61.8343 P(1) = 4.60822E-06 P(2) = 73.4084 P(3) = 40.1382 P(4) = 0.000130000 P(5) = 0.162966 Iter 89 CHI-SQUARE = 3424.6588 DOF = 1542 P(0) = 61.8054 P(1) = 4.61528E-06 P(2) = 73.3757 P(3) = 40.1343 P(4) = 0.000130000 P(5) = 0.162656 Iter 90 CHI-SQUARE = 3424.6567 DOF = 1542 P(0) = 61.8148 P(1) = 4.62899E-06 P(2) = 73.3858 P(3) = 40.1392 P(4) = 0.000130000 P(5) = 0.162680 Iter 91 CHI-SQUARE = 3424.6562 DOF = 1542 P(0) = 61.8252 P(1) = 4.63693E-06 P(2) = 73.3975 P(3) = 40.1404 P(4) = 0.000130000 P(5) = 0.163174 Iter 92 CHI-SQUARE = 3424.6551 DOF = 1542 P(0) = 61.8171 P(1) = 4.64542E-06 P(2) = 73.3863 P(3) = 40.1384 P(4) = 0.000130000 P(5) = 0.162709 Iter 93 CHI-SQUARE = 3424.6546 DOF = 1542 P(0) = 61.8207 P(1) = 4.65304E-06 P(2) = 73.3912 P(3) = 40.1401 P(4) = 0.000130000 P(5) = 0.163354 Iter 94 CHI-SQUARE = 3424.6546 DOF = 1542 P(0) = 61.8069 P(1) = 4.65855E-06 P(2) = 73.3739 P(3) = 40.1385 P(4) = 0.000130000 P(5) = 0.162541 Iter 95 CHI-SQUARE = 3424.6536 DOF = 1542 P(0) = 61.8135 P(1) = 4.66222E-06 P(2) = 73.3819 P(3) = 40.1425 P(4) = 0.000130000 P(5) = 0.162677 Iter 96 CHI-SQUARE = 3424.6529 DOF = 1542 P(0) = 61.8127 P(1) = 4.67103E-06 P(2) = 73.3798 P(3) = 40.1415 P(4) = 0.000130000 P(5) = 0.162581 Iter 97 CHI-SQUARE = 3424.6518 DOF = 1542 P(0) = 61.8193 P(1) = 4.67968E-06 P(2) = 73.3866 P(3) = 40.1430 P(4) = 0.000130000 P(5) = 0.162746 Iter 98 CHI-SQUARE = 3424.6514 DOF = 1542 P(0) = 61.8032 P(1) = 4.69488E-06 P(2) = 73.3677 P(3) = 40.1414 P(4) = 0.000130000 P(5) = 0.162837 Iter 99 CHI-SQUARE = 3424.6501 DOF = 1542 P(0) = 61.8194 P(1) = 4.70110E-06 P(2) = 73.3868 P(3) = 40.1454 P(4) = 0.000130000 P(5) = 0.163421 Iter 100 CHI-SQUARE = 3424.6491 DOF = 1542 P(0) = 61.8235 P(1) = 4.71704E-06 P(2) = 73.3853 P(3) = 40.1455 P(4) = 0.000130000 P(5) = 0.161947 Iter 101 CHI-SQUARE = 3424.6467 DOF = 1542 P(0) = 61.8236 P(1) = 4.73452E-06 P(2) = 73.3851 P(3) = 40.1456 P(4) = 0.000130000 P(5) = 0.162741 Iter 102 CHI-SQUARE = 3424.6441 DOF = 1542 P(0) = 61.8121 P(1) = 4.76921E-06 P(2) = 73.3681 P(3) = 40.1477 P(4) = 0.000130000 P(5) = 0.162066 Iter 103 CHI-SQUARE = 3424.6407 DOF = 1542 P(0) = 61.8287 P(1) = 4.80396E-06 P(2) = 73.3829 P(3) = 40.1514 P(4) = 0.000130000 P(5) = 0.162259 Iter 104 CHI-SQUARE = 3424.6396 DOF = 1542 P(0) = 61.8313 P(1) = 4.81533E-06 P(2) = 73.3862 P(3) = 40.1515 P(4) = 0.000130000 P(5) = 0.162851 Iter 105 CHI-SQUARE = 3424.6380 DOF = 1542 P(0) = 61.8154 P(1) = 4.82564E-06 P(2) = 73.3680 P(3) = 40.1496 P(4) = 0.000130000 P(5) = 0.162812 Iter 106 CHI-SQUARE = 3424.6374 DOF = 1542 P(0) = 61.8025 P(1) = 4.84728E-06 P(2) = 73.3521 P(3) = 40.1524 P(4) = 0.000130000 P(5) = 0.162269 Iter 107 CHI-SQUARE = 3424.6357 DOF = 1542 P(0) = 61.8282 P(1) = 4.85480E-06 P(2) = 73.3806 P(3) = 40.1574 P(4) = 0.000130000 P(5) = 0.162504 Iter 108 CHI-SQUARE = 3424.6334 DOF = 1542 P(0) = 61.8105 P(1) = 4.87716E-06 P(2) = 73.3586 P(3) = 40.1543 P(4) = 0.000130000 P(5) = 0.162669 Iter 109 CHI-SQUARE = 3424.6320 DOF = 1542 P(0) = 61.8001 P(1) = 4.92266E-06 P(2) = 73.3413 P(3) = 40.1585 P(4) = 0.000130000 P(5) = 0.161607 Iter 110 CHI-SQUARE = 3424.6280 DOF = 1542 P(0) = 61.8436 P(1) = 4.96631E-06 P(2) = 73.3831 P(3) = 40.1635 P(4) = 0.000130000 P(5) = 0.161986 Iter 111 CHI-SQUARE = 3424.6248 DOF = 1542 P(0) = 61.8445 P(1) = 5.01278E-06 P(2) = 73.3777 P(3) = 40.1652 P(4) = 0.000130000 P(5) = 0.161509 Iter 112 CHI-SQUARE = 3424.6191 DOF = 1542 P(0) = 61.8388 P(1) = 5.05962E-06 P(2) = 73.3681 P(3) = 40.1680 P(4) = 0.000130000 P(5) = 0.161662 Iter 113 CHI-SQUARE = 3424.6159 DOF = 1542 P(0) = 61.8329 P(1) = 5.07923E-06 P(2) = 73.3654 P(3) = 40.1684 P(4) = 0.000130000 P(5) = 0.163537 Iter 114 CHI-SQUARE = 3424.6149 DOF = 1542 P(0) = 61.8418 P(1) = 5.10005E-06 P(2) = 73.3722 P(3) = 40.1713 P(4) = 0.000130000 P(5) = 0.163091 Iter 115 CHI-SQUARE = 3424.6129 DOF = 1542 P(0) = 61.8062 P(1) = 5.11612E-06 P(2) = 73.3299 P(3) = 40.1693 P(4) = 0.000130000 P(5) = 0.161642 Iter 116 CHI-SQUARE = 3424.6108 DOF = 1542 P(0) = 61.8083 P(1) = 5.12047E-06 P(2) = 73.3359 P(3) = 40.1716 P(4) = 0.000130000 P(5) = 0.162902 Iter 117 CHI-SQUARE = 3424.6102 DOF = 1542 P(0) = 61.8034 P(1) = 5.13459E-06 P(2) = 73.3285 P(3) = 40.1726 P(4) = 0.000130000 P(5) = 0.162345 Iter 118 CHI-SQUARE = 3424.6085 DOF = 1542 P(0) = 61.8283 P(1) = 5.14782E-06 P(2) = 73.3555 P(3) = 40.1761 P(4) = 0.000130000 P(5) = 0.163054 Iter 119 CHI-SQUARE = 3424.6075 DOF = 1542 P(0) = 61.8096 P(1) = 5.15509E-06 P(2) = 73.3334 P(3) = 40.1719 P(4) = 0.000130000 P(5) = 0.162836 Iter 120 CHI-SQUARE = 3424.6072 DOF = 1542 P(0) = 61.8363 P(1) = 5.17206E-06 P(2) = 73.3605 P(3) = 40.1776 P(4) = 0.000130000 P(5) = 0.162787 Iter 121 CHI-SQUARE = 3424.6066 DOF = 1542 P(0) = 61.8369 P(1) = 5.18128E-06 P(2) = 73.3604 P(3) = 40.1764 P(4) = 0.000130000 P(5) = 0.163095 Iter 122 CHI-SQUARE = 3424.6042 DOF = 1542 P(0) = 61.8193 P(1) = 5.18859E-06 P(2) = 73.3391 P(3) = 40.1735 P(4) = 0.000130000 P(5) = 0.162603 Iter 123 CHI-SQUARE = 3424.6033 DOF = 1542 P(0) = 61.8255 P(1) = 5.20772E-06 P(2) = 73.3435 P(3) = 40.1786 P(4) = 0.000130000 P(5) = 0.161979 Iter 124 CHI-SQUARE = 3424.6012 DOF = 1542 P(0) = 61.8209 P(1) = 5.22416E-06 P(2) = 73.3403 P(3) = 40.1785 P(4) = 0.000130000 P(5) = 0.163315 Iter 125 CHI-SQUARE = 3424.6004 DOF = 1542 P(0) = 61.8077 P(1) = 5.23324E-06 P(2) = 73.3247 P(3) = 40.1778 P(4) = 0.000130000 P(5) = 0.162867 Iter 126 CHI-SQUARE = 3424.5999 DOF = 1542 P(0) = 61.8071 P(1) = 5.24317E-06 P(2) = 73.3251 P(3) = 40.1799 P(4) = 0.000130000 P(5) = 0.163369 Iter 127 CHI-SQUARE = 3424.5986 DOF = 1542 P(0) = 61.8239 P(1) = 5.25148E-06 P(2) = 73.3412 P(3) = 40.1837 P(4) = 0.000130000 P(5) = 0.162597 Iter 128 CHI-SQUARE = 3424.5972 DOF = 1542 P(0) = 61.8292 P(1) = 5.27248E-06 P(2) = 73.3429 P(3) = 40.1832 P(4) = 0.000130000 P(5) = 0.162429 Iter 129 CHI-SQUARE = 3424.5961 DOF = 1542 P(0) = 61.8097 P(1) = 5.27893E-06 P(2) = 73.3215 P(3) = 40.1798 P(4) = 0.000130000 P(5) = 0.162613 Iter 130 CHI-SQUARE = 3424.5942 DOF = 1542 P(0) = 61.8166 P(1) = 5.29741E-06 P(2) = 73.3280 P(3) = 40.1846 P(4) = 0.000130000 P(5) = 0.162505 Iter 131 CHI-SQUARE = 3424.5937 DOF = 1542 P(0) = 61.8251 P(1) = 5.30798E-06 P(2) = 73.3359 P(3) = 40.1863 P(4) = 0.000130000 P(5) = 0.162308 Iter 132 CHI-SQUARE = 3424.5924 DOF = 1542 P(0) = 61.8185 P(1) = 5.31761E-06 P(2) = 73.3290 P(3) = 40.1845 P(4) = 0.000130000 P(5) = 0.163002 Iter 133 CHI-SQUARE = 3424.5919 DOF = 1542 P(0) = 61.8260 P(1) = 5.32671E-06 P(2) = 73.3357 P(3) = 40.1873 P(4) = 0.000130000 P(5) = 0.162551 Iter 134 CHI-SQUARE = 3424.5907 DOF = 1542 P(0) = 61.8138 P(1) = 5.33580E-06 P(2) = 73.3217 P(3) = 40.1849 P(4) = 0.000130000 P(5) = 0.162779 Iter 135 CHI-SQUARE = 3424.5896 DOF = 1542 P(0) = 61.8242 P(1) = 5.35353E-06 P(2) = 73.3327 P(3) = 40.1885 P(4) = 0.000130000 P(5) = 0.163262 Iter 136 CHI-SQUARE = 3424.5889 DOF = 1542 P(0) = 61.8126 P(1) = 5.35699E-06 P(2) = 73.3189 P(3) = 40.1856 P(4) = 0.000130000 P(5) = 0.162973 Iter 137 CHI-SQUARE = 3424.5881 DOF = 1542 P(0) = 61.8149 P(1) = 5.36734E-06 P(2) = 73.3197 P(3) = 40.1892 P(4) = 0.000130000 P(5) = 0.162295 Iter 138 CHI-SQUARE = 3424.5869 DOF = 1542 P(0) = 61.8161 P(1) = 5.37800E-06 P(2) = 73.3208 P(3) = 40.1898 P(4) = 0.000130000 P(5) = 0.162634 Iter 139 CHI-SQUARE = 3424.5855 DOF = 1542 P(0) = 61.8080 P(1) = 5.39750E-06 P(2) = 73.3114 P(3) = 40.1902 P(4) = 0.000130000 P(5) = 0.163082 Iter 140 CHI-SQUARE = 3424.5835 DOF = 1542 P(0) = 61.8261 P(1) = 5.43593E-06 P(2) = 73.3227 P(3) = 40.1948 P(4) = 0.000130000 P(5) = 0.161537 Iter 141 CHI-SQUARE = 3424.5812 DOF = 1542 P(0) = 61.8062 P(1) = 5.44879E-06 P(2) = 73.3050 P(3) = 40.1925 P(4) = 0.000130000 P(5) = 0.163308 Iter 142 CHI-SQUARE = 3424.5807 DOF = 1542 P(0) = 61.7973 P(1) = 5.48221E-06 P(2) = 73.2891 P(3) = 40.1967 P(4) = 0.000130000 P(5) = 0.161564 Iter 143 CHI-SQUARE = 3424.5773 DOF = 1542 P(0) = 61.8057 P(1) = 5.49412E-06 P(2) = 73.3022 P(3) = 40.1979 P(4) = 0.000130000 P(5) = 0.163440 Iter 144 CHI-SQUARE = 3424.5750 DOF = 1542 P(0) = 61.8226 P(1) = 5.52467E-06 P(2) = 73.3170 P(3) = 40.2003 P(4) = 0.000130000 P(5) = 0.163783 Iter 145 CHI-SQUARE = 3424.5722 DOF = 1542 P(0) = 61.7985 P(1) = 5.55541E-06 P(2) = 73.2870 P(3) = 40.2006 P(4) = 0.000130000 P(5) = 0.162978 Iter 146 CHI-SQUARE = 3424.5708 DOF = 1542 P(0) = 61.8004 P(1) = 5.56722E-06 P(2) = 73.2883 P(3) = 40.2027 P(4) = 0.000130000 P(5) = 0.162690 Iter 147 CHI-SQUARE = 3424.5688 DOF = 1542 P(0) = 61.8148 P(1) = 5.57819E-06 P(2) = 73.3029 P(3) = 40.2053 P(4) = 0.000130000 P(5) = 0.162669 Iter 148 CHI-SQUARE = 3424.5679 DOF = 1542 P(0) = 61.8049 P(1) = 5.59995E-06 P(2) = 73.2880 P(3) = 40.2044 P(4) = 0.000130000 P(5) = 0.162108 Iter 149 CHI-SQUARE = 3424.5657 DOF = 1542 P(0) = 61.8038 P(1) = 5.62226E-06 P(2) = 73.2856 P(3) = 40.2062 P(4) = 0.000130000 P(5) = 0.162340 Iter 150 CHI-SQUARE = 3424.5648 DOF = 1542 P(0) = 61.8041 P(1) = 5.63228E-06 P(2) = 73.2854 P(3) = 40.2070 P(4) = 0.000130000 P(5) = 0.162348 Iter 151 CHI-SQUARE = 3424.5636 DOF = 1542 P(0) = 61.8064 P(1) = 5.64098E-06 P(2) = 73.2886 P(3) = 40.2077 P(4) = 0.000130000 P(5) = 0.162899 Iter 152 CHI-SQUARE = 3424.5620 DOF = 1542 P(0) = 61.8237 P(1) = 5.65801E-06 P(2) = 73.3050 P(3) = 40.2102 P(4) = 0.000130000 P(5) = 0.162939 Iter 153 CHI-SQUARE = 3424.5590 DOF = 1542 P(0) = 61.8253 P(1) = 5.69404E-06 P(2) = 73.3024 P(3) = 40.2113 P(4) = 0.000130000 P(5) = 0.163064 Iter 154 CHI-SQUARE = 3424.5547 DOF = 1542 P(0) = 61.8146 P(1) = 5.76542E-06 P(2) = 73.2795 P(3) = 40.2163 P(4) = 0.000130000 P(5) = 0.161190 Iter 155 CHI-SQUARE = 3424.5518 DOF = 1542 P(0) = 61.8027 P(1) = 5.79002E-06 P(2) = 73.2675 P(3) = 40.2170 P(4) = 0.000130000 P(5) = 0.161740 Iter 156 CHI-SQUARE = 3424.5482 DOF = 1542 P(0) = 61.8128 P(1) = 5.81166E-06 P(2) = 73.2798 P(3) = 40.2196 P(4) = 0.000130000 P(5) = 0.163049 Iter 157 CHI-SQUARE = 3424.5472 DOF = 1542 P(0) = 61.8011 P(1) = 5.83099E-06 P(2) = 73.2654 P(3) = 40.2195 P(4) = 0.000130000 P(5) = 0.162886 Iter 158 CHI-SQUARE = 3424.5468 DOF = 1542 P(0) = 61.8305 P(1) = 5.84841E-06 P(2) = 73.2924 P(3) = 40.2243 P(4) = 0.000130000 P(5) = 0.161734 Iter 159 CHI-SQUARE = 3424.5444 DOF = 1542 P(0) = 61.8249 P(1) = 5.85776E-06 P(2) = 73.2872 P(3) = 40.2214 P(4) = 0.000130000 P(5) = 0.162848 Iter 160 CHI-SQUARE = 3424.5443 DOF = 1542 P(0) = 61.8121 P(1) = 5.87744E-06 P(2) = 73.2685 P(3) = 40.2230 P(4) = 0.000130000 P(5) = 0.161381 Iter 161 CHI-SQUARE = 3424.5415 DOF = 1542 P(0) = 61.8140 P(1) = 5.88687E-06 P(2) = 73.2734 P(3) = 40.2240 P(4) = 0.000130000 P(5) = 0.162703 Iter 162 CHI-SQUARE = 3424.5399 DOF = 1542 P(0) = 61.8144 P(1) = 5.90839E-06 P(2) = 73.2707 P(3) = 40.2259 P(4) = 0.000130000 P(5) = 0.162209 Iter 163 CHI-SQUARE = 3424.5392 DOF = 1542 P(0) = 61.8179 P(1) = 5.91452E-06 P(2) = 73.2761 P(3) = 40.2263 P(4) = 0.000130000 P(5) = 0.163059 Iter 164 CHI-SQUARE = 3424.5388 DOF = 1542 P(0) = 61.8083 P(1) = 5.91997E-06 P(2) = 73.2641 P(3) = 40.2247 P(4) = 0.000130000 P(5) = 0.162654 Iter 165 CHI-SQUARE = 3424.5381 DOF = 1542 P(0) = 61.8118 P(1) = 5.92659E-06 P(2) = 73.2674 P(3) = 40.2274 P(4) = 0.000130000 P(5) = 0.162428 Iter 166 CHI-SQUARE = 3424.5370 DOF = 1542 P(0) = 61.8100 P(1) = 5.93925E-06 P(2) = 73.2644 P(3) = 40.2276 P(4) = 0.000130000 P(5) = 0.162527 Iter 167 CHI-SQUARE = 3424.5350 DOF = 1542 P(0) = 61.8193 P(1) = 5.96432E-06 P(2) = 73.2709 P(3) = 40.2302 P(4) = 0.000130000 P(5) = 0.162270 Iter 168 CHI-SQUARE = 3424.5349 DOF = 1542 P(0) = 61.7968 P(1) = 6.01378E-06 P(2) = 73.2396 P(3) = 40.2326 P(4) = 0.000130000 P(5) = 0.161069 Iter 169 CHI-SQUARE = 3424.5285 DOF = 1542 P(0) = 61.8201 P(1) = 6.03855E-06 P(2) = 73.2657 P(3) = 40.2360 P(4) = 0.000130000 P(5) = 0.162360 Iter 170 CHI-SQUARE = 3424.5277 DOF = 1542 P(0) = 61.8142 P(1) = 6.04790E-06 P(2) = 73.2604 P(3) = 40.2343 P(4) = 0.000130000 P(5) = 0.163246 Iter 171 CHI-SQUARE = 3424.5267 DOF = 1542 P(0) = 61.8139 P(1) = 6.06777E-06 P(2) = 73.2549 P(3) = 40.2368 P(4) = 0.000130000 P(5) = 0.161751 Iter 172 CHI-SQUARE = 3424.5265 DOF = 1542 P(0) = 61.7976 P(1) = 6.08542E-06 P(2) = 73.2413 P(3) = 40.2363 P(4) = 0.000130000 P(5) = 0.163828 Iter 173 CHI-SQUARE = 3424.5239 DOF = 1542 P(0) = 61.8086 P(1) = 6.09538E-06 P(2) = 73.2521 P(3) = 40.2397 P(4) = 0.000130000 P(5) = 0.163397 Iter 174 CHI-SQUARE = 3424.5236 DOF = 1542 P(0) = 61.7923 P(1) = 6.11636E-06 P(2) = 73.2314 P(3) = 40.2387 P(4) = 0.000130000 P(5) = 0.163043 Iter 175 CHI-SQUARE = 3424.5208 DOF = 1542 P(0) = 61.8085 P(1) = 6.12582E-06 P(2) = 73.2484 P(3) = 40.2429 P(4) = 0.000130000 P(5) = 0.162790 Iter 176 CHI-SQUARE = 3424.5204 DOF = 1542 P(0) = 61.7959 P(1) = 6.14731E-06 P(2) = 73.2308 P(3) = 40.2412 P(4) = 0.000130000 P(5) = 0.162380 Iter 177 CHI-SQUARE = 3424.5181 DOF = 1542 P(0) = 61.8080 P(1) = 6.15815E-06 P(2) = 73.2445 P(3) = 40.2439 P(4) = 0.000130000 P(5) = 0.162883 Iter 178 CHI-SQUARE = 3424.5169 DOF = 1542 P(0) = 61.8287 P(1) = 6.18089E-06 P(2) = 73.2629 P(3) = 40.2455 P(4) = 0.000130000 P(5) = 0.162836 Iter 179 CHI-SQUARE = 3424.5144 DOF = 1542 P(0) = 61.8169 P(1) = 6.20364E-06 P(2) = 73.2488 P(3) = 40.2448 P(4) = 0.000130000 P(5) = 0.163268 Iter 180 CHI-SQUARE = 3424.5131 DOF = 1542 P(0) = 61.7998 P(1) = 6.22363E-06 P(2) = 73.2280 P(3) = 40.2458 P(4) = 0.000130000 P(5) = 0.162578 Iter 181 CHI-SQUARE = 3424.5106 DOF = 1542 P(0) = 61.8162 P(1) = 6.24427E-06 P(2) = 73.2435 P(3) = 40.2497 P(4) = 0.000130000 P(5) = 0.162385 Iter 182 CHI-SQUARE = 3424.5076 DOF = 1542 P(0) = 61.8116 P(1) = 6.28580E-06 P(2) = 73.2328 P(3) = 40.2513 P(4) = 0.000130000 P(5) = 0.161936 Iter 183 CHI-SQUARE = 3424.5065 DOF = 1542 P(0) = 61.8049 P(1) = 6.29991E-06 P(2) = 73.2254 P(3) = 40.2514 P(4) = 0.000130000 P(5) = 0.162062 Iter 184 CHI-SQUARE = 3424.5057 DOF = 1542 P(0) = 61.8201 P(1) = 6.31064E-06 P(2) = 73.2442 P(3) = 40.2537 P(4) = 0.000130000 P(5) = 0.163453 Iter 185 CHI-SQUARE = 3424.5038 DOF = 1542 P(0) = 61.8196 P(1) = 6.32469E-06 P(2) = 73.2405 P(3) = 40.2539 P(4) = 0.000130000 P(5) = 0.162836 Iter 186 CHI-SQUARE = 3424.5032 DOF = 1542 P(0) = 61.8051 P(1) = 6.33467E-06 P(2) = 73.2231 P(3) = 40.2526 P(4) = 0.000130000 P(5) = 0.162470 Iter 187 CHI-SQUARE = 3424.5019 DOF = 1542 P(0) = 61.8098 P(1) = 6.34627E-06 P(2) = 73.2280 P(3) = 40.2556 P(4) = 0.000130000 P(5) = 0.162544 Iter 188 CHI-SQUARE = 3424.5006 DOF = 1542 P(0) = 61.8032 P(1) = 6.36894E-06 P(2) = 73.2180 P(3) = 40.2565 P(4) = 0.000130000 P(5) = 0.162223 Iter 189 CHI-SQUARE = 3424.4985 DOF = 1542 P(0) = 61.8097 P(1) = 6.39146E-06 P(2) = 73.2256 P(3) = 40.2584 P(4) = 0.000130000 P(5) = 0.163385 Iter 190 CHI-SQUARE = 3424.4956 DOF = 1542 P(0) = 61.8322 P(1) = 6.43770E-06 P(2) = 73.2418 P(3) = 40.2624 P(4) = 0.000130000 P(5) = 0.162590 Iter 191 CHI-SQUARE = 3424.4935 DOF = 1542 P(0) = 61.8013 P(1) = 6.45293E-06 P(2) = 73.2077 P(3) = 40.2599 P(4) = 0.000130000 P(5) = 0.162346 Iter 192 CHI-SQUARE = 3424.4914 DOF = 1542 P(0) = 61.8093 P(1) = 6.47085E-06 P(2) = 73.2160 P(3) = 40.2642 P(4) = 0.000130000 P(5) = 0.162415 Iter 193 CHI-SQUARE = 3424.4891 DOF = 1542 P(0) = 61.8148 P(1) = 6.50652E-06 P(2) = 73.2206 P(3) = 40.2661 P(4) = 0.000130000 P(5) = 0.163581 Iter 194 CHI-SQUARE = 3424.4872 DOF = 1542 P(0) = 61.7965 P(1) = 6.53389E-06 P(2) = 73.1964 P(3) = 40.2671 P(4) = 0.000130000 P(5) = 0.162378 Iter 195 CHI-SQUARE = 3424.4836 DOF = 1542 P(0) = 61.8147 P(1) = 6.56184E-06 P(2) = 73.2138 P(3) = 40.2707 P(4) = 0.000130000 P(5) = 0.162624 Iter 196 CHI-SQUARE = 3424.4825 DOF = 1542 P(0) = 61.8041 P(1) = 6.58696E-06 P(2) = 73.1984 P(3) = 40.2711 P(4) = 0.000130000 P(5) = 0.161890 Iter 197 CHI-SQUARE = 3424.4814 DOF = 1542 P(0) = 61.8074 P(1) = 6.61020E-06 P(2) = 73.2051 P(3) = 40.2727 P(4) = 0.000130000 P(5) = 0.163988 Iter 198 CHI-SQUARE = 3424.4782 DOF = 1542 P(0) = 61.8085 P(1) = 6.63430E-06 P(2) = 73.1991 P(3) = 40.2751 P(4) = 0.000130000 P(5) = 0.161913 Iter 199 CHI-SQUARE = 3424.4738 DOF = 1542 P(0) = 61.8043 P(1) = 6.68677E-06 P(2) = 73.1925 P(3) = 40.2780 P(4) = 0.000130000 P(5) = 0.163308 Iter 200 CHI-SQUARE = 3424.4729 DOF = 1542 P(0) = 61.8004 P(1) = 6.69723E-06 P(2) = 73.1874 P(3) = 40.2783 P(4) = 0.000130000 P(5) = 0.162795 FITMOONPLUSLINE: sdR-b1-00034754.fit: fit coeffs: 61.800354 6.6972258e-06 73.187354 40.278334 0.00013000000 0.16279509 FITMOONPLUSLINE: sdR-b1-00034754.fit: fit did not converge. err: res: 61.800354 6.6972258e-06 73.187354 40.278334 0.00013000000 0.16279509 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034754.fit: changing 4046.58 correction from -0.875486 to 2.9047791e+08 pixels, err= 10000000. Iter 1 CHI-SQUARE = 30344.722 DOF = 3198 P(0) = 38.6867 P(1) = 0.00000 P(2) = 38.6867 P(3) = 38.6867 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 15458.910 DOF = 3198 P(0) = 80.1770 P(1) = 5.49702E-05 P(2) = 92.4927 P(3) = 153.288 P(4) = 0.000130000 P(5) = 0.211075 Iter 3 CHI-SQUARE = 15344.896 DOF = 3198 P(0) = 81.2564 P(1) = 2.49656E-05 P(2) = 90.1979 P(3) = 154.925 P(4) = 0.000130000 P(5) = 0.213949 Iter 4 CHI-SQUARE = 15334.892 DOF = 3198 P(0) = 80.2343 P(1) = 1.83298E-05 P(2) = 92.0065 P(3) = 155.648 P(4) = 0.000130000 P(5) = 0.189535 Iter 5 CHI-SQUARE = 15330.896 DOF = 3198 P(0) = 80.1233 P(1) = 1.82999E-05 P(2) = 91.8818 P(3) = 155.410 P(4) = 0.000130000 P(5) = 0.211315 Iter 6 CHI-SQUARE = 15330.896 DOF = 3198 P(0) = 80.1247 P(1) = 1.82334E-05 P(2) = 91.8868 P(3) = 155.409 P(4) = 0.000130000 P(5) = 0.211144 Iter 7 CHI-SQUARE = 15330.895 DOF = 3198 P(0) = 80.1247 P(1) = 1.82489E-05 P(2) = 91.8885 P(3) = 155.406 P(4) = 0.000130000 P(5) = 0.211183 Iter 8 CHI-SQUARE = 15330.895 DOF = 3198 P(0) = 80.1246 P(1) = 1.82529E-05 P(2) = 91.8886 P(3) = 155.406 P(4) = 0.000130000 P(5) = 0.211194 Iter 9 CHI-SQUARE = 15330.895 DOF = 3198 P(0) = 80.1245 P(1) = 1.82512E-05 P(2) = 91.8887 P(3) = 155.406 P(4) = 0.000130000 P(5) = 0.211199 Iter 10 CHI-SQUARE = 15330.895 DOF = 3198 P(0) = 80.1245 P(1) = 1.82510E-05 P(2) = 91.8888 P(3) = 155.405 P(4) = 0.000130000 P(5) = 0.211211 Iter 11 CHI-SQUARE = 15330.895 DOF = 3198 P(0) = 80.1245 P(1) = 1.82477E-05 P(2) = 91.8888 P(3) = 155.405 P(4) = 0.000130000 P(5) = 0.211212 Iter 12 CHI-SQUARE = 15330.895 DOF = 3198 P(0) = 80.1244 P(1) = 1.82461E-05 P(2) = 91.8889 P(3) = 155.405 P(4) = 0.000130000 P(5) = 0.211214 Iter 12 CHI-SQUARE = 15330.895 DOF = 3198 P(0) = 80.1244 P(1) = 1.82461E-05 P(2) = 91.8889 P(3) = 155.405 P(4) = 0.000130000 P(5) = 0.211214 FITMOONPLUSLINE: sdR-b1-00034754.fit: fit coeffs: 80.124445 1.8246100e-05 91.888870 155.40515 0.00013000000 0.21121418 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034754.fit: changing 4358.33 correction from -0.261954 to -0.16847909 pixels, err= 0.030027286 Iter 1 CHI-SQUARE = 26791.371 DOF = 1069 P(0) = 53.7172 P(1) = 0.00000 P(2) = 53.7172 P(3) = 53.7172 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 17954.850 DOF = 1069 P(0) = 107.173 P(1) = 6.27218E-05 P(2) = 213.490 P(3) = 244.365 P(4) = 0.000130000 P(5) = 0.678845 Iter 3 CHI-SQUARE = 17628.687 DOF = 1069 P(0) = 108.725 P(1) = 2.45131E-05 P(2) = 146.340 P(3) = 239.683 P(4) = 0.000130000 P(5) = 0.278108 Iter 4 CHI-SQUARE = 17584.408 DOF = 1069 P(0) = 109.265 P(1) = 2.22501E-05 P(2) = 158.230 P(3) = 244.965 P(4) = 0.000130000 P(5) = 0.526957 Iter 5 CHI-SQUARE = 17566.835 DOF = 1069 P(0) = 103.364 P(1) = 1.66982E-05 P(2) = 150.213 P(3) = 247.357 P(4) = 0.000130000 P(5) = 0.716178 Iter 6 CHI-SQUARE = 17549.684 DOF = 1069 P(0) = 104.953 P(1) = 1.48642E-05 P(2) = 160.482 P(3) = 249.132 P(4) = 0.000130000 P(5) = 0.618919 Iter 7 CHI-SQUARE = 17537.299 DOF = 1069 P(0) = 107.257 P(1) = 9.92621E-06 P(2) = 160.235 P(3) = 249.212 P(4) = 0.000130000 P(5) = 0.692042 Iter 8 CHI-SQUARE = 17537.066 DOF = 1069 P(0) = 106.445 P(1) = 1.06907E-05 P(2) = 179.882 P(3) = 247.669 P(4) = 0.000130000 P(5) = 0.654406 Iter 9 CHI-SQUARE = 17536.372 DOF = 1069 P(0) = 106.891 P(1) = 1.03821E-05 P(2) = 177.031 P(3) = 247.917 P(4) = 0.000130000 P(5) = 0.701544 Iter 10 CHI-SQUARE = 17536.232 DOF = 1069 P(0) = 106.963 P(1) = 1.00997E-05 P(2) = 176.987 P(3) = 247.963 P(4) = 0.000130000 P(5) = 0.682104 Iter 11 CHI-SQUARE = 17536.230 DOF = 1069 P(0) = 106.818 P(1) = 1.01920E-05 P(2) = 178.145 P(3) = 247.799 P(4) = 0.000130000 P(5) = 0.683012 Iter 12 CHI-SQUARE = 17536.164 DOF = 1069 P(0) = 106.794 P(1) = 1.00460E-05 P(2) = 177.590 P(3) = 247.810 P(4) = 0.000130000 P(5) = 0.691188 Iter 13 CHI-SQUARE = 17536.160 DOF = 1069 P(0) = 106.573 P(1) = 9.74682E-06 P(2) = 176.965 P(3) = 247.793 P(4) = 0.000130000 P(5) = 0.688112 Iter 14 CHI-SQUARE = 17536.075 DOF = 1069 P(0) = 106.671 P(1) = 9.60608E-06 P(2) = 177.230 P(3) = 247.866 P(4) = 0.000130000 P(5) = 0.690649 Iter 15 CHI-SQUARE = 17536.059 DOF = 1069 P(0) = 106.882 P(1) = 9.34579E-06 P(2) = 177.166 P(3) = 247.942 P(4) = 0.000130000 P(5) = 0.680396 Iter 16 CHI-SQUARE = 17536.049 DOF = 1069 P(0) = 106.878 P(1) = 9.36761E-06 P(2) = 177.454 P(3) = 247.896 P(4) = 0.000130000 P(5) = 0.682160 Iter 17 CHI-SQUARE = 17536.042 DOF = 1069 P(0) = 106.868 P(1) = 9.35864E-06 P(2) = 177.558 P(3) = 247.865 P(4) = 0.000130000 P(5) = 0.683506 Iter 18 CHI-SQUARE = 17536.033 DOF = 1069 P(0) = 106.846 P(1) = 9.36451E-06 P(2) = 177.726 P(3) = 247.818 P(4) = 0.000130000 P(5) = 0.685586 Iter 19 CHI-SQUARE = 17536.027 DOF = 1069 P(0) = 106.829 P(1) = 9.36197E-06 P(2) = 177.915 P(3) = 247.785 P(4) = 0.000130000 P(5) = 0.688366 Iter 20 CHI-SQUARE = 17536.026 DOF = 1069 P(0) = 106.832 P(1) = 9.36558E-06 P(2) = 177.988 P(3) = 247.785 P(4) = 0.000130000 P(5) = 0.689219 Iter 21 CHI-SQUARE = 17536.026 DOF = 1069 P(0) = 106.827 P(1) = 9.36385E-06 P(2) = 178.003 P(3) = 247.777 P(4) = 0.000130000 P(5) = 0.689419 Iter 22 CHI-SQUARE = 17536.026 DOF = 1069 P(0) = 106.821 P(1) = 9.36221E-06 P(2) = 178.028 P(3) = 247.773 P(4) = 0.000130000 P(5) = 0.689864 Iter 23 CHI-SQUARE = 17536.025 DOF = 1069 P(0) = 106.813 P(1) = 9.36084E-06 P(2) = 178.037 P(3) = 247.767 P(4) = 0.000130000 P(5) = 0.689956 Iter 24 CHI-SQUARE = 17536.025 DOF = 1069 P(0) = 106.811 P(1) = 9.35910E-06 P(2) = 178.039 P(3) = 247.768 P(4) = 0.000130000 P(5) = 0.690017 Iter 25 CHI-SQUARE = 17536.025 DOF = 1069 P(0) = 106.811 P(1) = 9.35820E-06 P(2) = 178.040 P(3) = 247.769 P(4) = 0.000130000 P(5) = 0.690043 Iter 25 CHI-SQUARE = 17536.025 DOF = 1069 P(0) = 106.811 P(1) = 9.35820E-06 P(2) = 178.040 P(3) = 247.769 P(4) = 0.000130000 P(5) = 0.690043 FITMOONPLUSLINE: sdR-b1-00034754.fit: fit coeffs: 106.81063 9.3582049e-06 178.04017 247.76942 0.00013000000 0.69004275 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034754.fit: changing 5460.94 correction from -0.0862905 to -0.096728775 pixels, err= 0.025487333 LOCATESKYLINES_2: sdR-b1-00034754.fit: applying -0.00 pixel correction to -0.05 -0.05 0.62 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 FITMEANX: sdR-b1-00034754.fit: In skyline number 0 std-dev is 0.19746802 pix FITMEANX: sdR-b1-00034754.fit: In skyline number 1 std-dev is 0.12027790 pix FITMEANX: sdR-b1-00034754.fit: In skyline number 2 std-dev is 0.064469853 pix FITMEANX: sdR-b1-00034754.fit: In skyline number 3 std-dev is 0.015213034 pix FITMEANX: sdR-b1-00034754.fit: In skyline number 4 std-dev is 0.054453271 pix FITMEANX: sdR-b1-00034754.fit: In skyline number 5 std-dev is 0.060621256 pix LOCATESKYLINES_2: sdR-b1-00034754.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034754.fit: In sky feature at 4046.5600 coadded std-dev is 1.00000e+07 pix LOCATESKYLINES_2: sdR-b1-00034754.fit: In sky feature at 4358.3300 coadded std-dev is 0.0300273 pix LOCATESKYLINES_2: sdR-b1-00034754.fit: In sky feature at 5460.9400 coadded std-dev is 0.0254873 pix LOCATESKYLINES_2: sdR-b1-00034754.fit: In sky feature at 5577.3390 coadded std-dev is 0.00386585 pix LOCATESKYLINES_2: sdR-b1-00034754.fit: In sky feature at 5889.9500 coadded std-dev is 0.00947414 pix LOCATESKYLINES_2: sdR-b1-00034754.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034754.fit: Median arc shift = -0.12697811 pix LOCATESKYLINES_2: sdR-b1-00034754.fit: Dispersion in arc shift = 0.048206838 pix LOCATESKYLINES_2: sdR-b1-00034754.fit: Maximum sky-line shift is 0.20303826 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Number of sky fibers = 20 ROW NITER SIG(med) CHI^2 .0000 7 0.91 0.57 .0001 1 0.91 0.71 .0002 2 0.91 0.76 .0003 1 0.91 0.56 .0004 1 0.91 0.66 .0005 1 0.91 0.60 .0006 4 0.91 0.74 .0007 11 0.91 0.32 .0008 1 0.91 0.09 .0009 1 0.91 0.87 .0010 1 0.91 0.53 .0011 1 0.91 0.79 .0012 3 0.91 0.59 .0013 1 0.91 0.71 .0014 1 0.91 0.58 .0015 1 0.91 0.18 .0016 5 0.91 0.70 .0017 1 0.91 0.08 .0018 10 0.91 0.34 .0019 5 0.91 0.83 .0020 2 0.91 0.86 .0021 2 0.91 0.63 .0022 2 0.91 0.59 .0023 4 0.91 0.82 .0024 4 0.91 0.72 .0025 1 0.91 0.50 .0026 1 0.91 0.48 .0027 3 0.91 0.53 .0028 1 0.91 0.10 .0029 9 0.91 0.29 .0030 3 0.91 0.74 .0031 1 0.91 0.45 .0032 1 0.91 0.09 .0033 5 0.91 0.65 .0034 2 0.91 0.74 .0035 4 0.91 0.85 .0036 11 0.91 0.29 .0037 3 0.91 1.15 .0038 6 0.91 0.65 .0039 1 0.91 0.57 .0040 1 0.93 0.85 .0041 3 0.93 0.82 .0042 5 0.93 0.73 .0043 1 0.93 0.08 .0044 1 0.93 0.10 .0045 2 0.93 0.85 .0046 3 0.93 0.75 .0047 2 0.93 0.83 .0048 3 0.93 1.14 .0049 2 0.93 0.71 .0050 3 0.93 0.81 .0051 1 0.93 0.78 .0052 2 0.93 0.80 .0053 2 0.93 0.88 .0054 3 0.93 0.69 .0055 4 0.93 0.62 .0056 3 0.93 0.61 .0057 3 0.93 0.79 .0058 4 0.93 0.70 .0059 1 0.93 0.60 .0060 1 0.89 0.24 .0061 1 0.89 0.10 .0062 1 0.89 0.14 .0063 1 0.89 0.14 .0064 1 0.89 0.16 .0065 3 0.89 0.12 .0066 4 0.89 1.01 .0067 2 0.89 0.10 .0068 1 0.89 0.11 .0069 1 0.89 0.12 .0070 1 0.89 0.10 .0071 4 0.89 0.69 .0072 1 0.89 0.11 .0073 1 0.89 0.14 .0074 1 0.89 0.12 .0075 1 0.89 0.18 .0076 2 0.89 0.74 .0077 4 0.89 0.75 .0078 1 0.89 0.12 .0079 3 0.89 0.75 .0080 3 0.87 0.84 .0081 2 0.87 0.67 .0082 1 0.87 0.69 .0083 3 0.87 0.86 .0084 7 0.87 0.69 .0085 2 0.87 0.63 .0086 3 0.87 0.85 .0087 3 0.87 0.80 .0088 3 0.87 0.61 .0089 1 0.87 0.11 .0090 0 0.87 0.00 .0091 1 0.87 0.08 .0092 1 0.87 0.51 .0093 4 0.87 0.82 .0094 10 0.87 0.49 .0095 1 0.87 0.10 .0096 3 0.87 0.81 .0097 1 0.87 0.70 .0098 1 0.87 0.64 .0099 4 0.87 0.82 .0100 1 0.86 0.13 .0101 1 0.86 0.11 .0102 1 0.86 0.09 .0103 1 0.86 0.13 .0104 1 0.86 0.15 .0105 1 0.86 0.15 .0106 1 0.86 0.16 .0107 1 0.86 0.15 .0108 2 0.86 0.18 .0109 1 0.86 0.11 .0110 1 0.86 0.11 .0111 1 0.86 0.16 .0112 1 0.86 0.12 .0113 1 0.86 0.17 .0114 1 0.86 0.14 .0115 1 0.86 0.12 .0116 1 0.86 0.10 .0117 1 0.86 0.16 .0118 1 0.86 0.12 .0119 1 0.86 0.09 .0120 6 0.88 0.74 .0121 8 0.88 0.44 .0122 2 0.88 0.56 .0123 1 0.88 0.11 .0124 1 0.88 0.09 .0125 9 0.88 0.44 .0126 1 0.88 0.11 .0127 1 0.88 0.84 .0128 2 0.88 0.91 .0129 1 0.88 0.54 .0130 2 0.88 1.04 .0131 3 0.88 1.24 .0132 4 0.88 0.79 .0133 9 0.88 0.23 .0134 1 0.88 0.10 .0135 3 0.88 0.71 .0136 5 0.88 0.85 .0137 11 0.88 0.29 .0138 6 0.88 0.72 .0139 5 0.88 0.90 .0140 1 0.87 0.08 .0141 1 0.87 0.10 .0142 1 0.87 0.12 .0143 1 0.87 0.10 .0144 1 0.87 0.12 .0145 1 0.87 0.14 .0146 1 0.87 0.10 .0147 1 0.87 0.17 .0148 1 0.87 0.11 .0149 1 0.87 0.80 .0150 1 0.87 0.09 .0151 1 0.87 0.10 .0152 1 0.87 0.14 .0153 1 0.87 0.16 .0154 1 0.87 0.08 .0155 1 0.87 0.13 .0156 1 0.87 0.12 .0157 1 0.87 0.13 .0158 1 0.87 0.10 .0159 1 0.87 0.16 .0160 1 0.87 0.12 .0161 1 0.87 0.12 .0162 1 0.87 0.13 .0163 1 0.87 0.10 .0164 1 0.87 0.09 .0165 1 0.87 0.10 .0166 1 0.87 0.14 .0167 1 0.87 0.10 .0168 2 0.87 0.17 .0169 1 0.87 0.12 .0170 1 0.87 0.09 .0171 1 0.87 0.15 .0172 1 0.87 0.13 .0173 1 0.87 0.10 .0174 1 0.87 0.13 .0175 1 0.87 0.13 .0176 1 0.87 0.12 .0177 1 0.87 0.12 .0178 1 0.87 0.10 .0179 1 0.87 0.13 .0180 2 0.88 0.84 .0181 1 0.88 0.19 .0182 1 0.88 0.08 .0183 1 0.88 0.09 .0184 1 0.88 0.12 .0185 1 0.88 0.13 .0186 1 0.88 0.09 .0187 1 0.88 0.11 .0188 1 0.88 0.15 .0189 2 0.88 0.15 .0190 1 0.88 0.10 .0191 1 0.88 0.09 .0192 1 0.88 0.11 .0193 1 0.88 0.17 .0194 1 0.88 0.70 .0195 1 0.88 0.09 .0196 1 0.88 0.09 .0197 3 0.88 0.53 .0198 1 0.88 0.10 .0199 1 0.88 0.14 .0200 2 0.89 0.72 .0201 10 0.89 0.76 .0202 4 0.89 0.68 .0203 1 0.89 0.10 .0204 3 0.89 0.92 .0205 2 0.89 0.69 .0206 1 0.89 0.34 .0207 4 0.89 0.74 .0208 1 0.89 0.55 .0209 4 0.89 0.67 .0210 4 0.89 0.81 .0211 11 0.89 0.38 .0212 3 0.89 0.69 .0213 3 0.89 0.52 .0214 3 0.89 0.72 .0215 1 0.89 0.68 .0216 1 0.89 0.10 .0217 8 0.89 0.74 .0218 1 0.89 0.10 .0219 7 0.89 0.88 .0220 4 0.88 0.76 .0221 1 0.88 0.18 .0222 3 0.88 0.69 .0223 1 0.88 0.12 .0224 5 0.88 0.79 .0225 2 0.88 0.71 .0226 3 0.88 0.90 .0227 2 0.88 0.96 .0228 9 0.88 0.45 .0229 1 0.88 0.14 .0230 1 0.88 0.09 .0231 3 0.88 0.70 .0232 1 0.88 0.14 .0233 1 0.88 0.13 .0234 1 0.88 0.12 .0235 1 0.88 0.13 .0236 1 0.88 0.13 .0237 1 0.88 0.12 .0238 1 0.88 0.11 .0239 3 0.88 0.22 .0240 1 0.89 0.79 .0241 9 0.89 0.53 .0242 1 0.89 0.24 .0243 4 0.89 0.69 .0244 3 0.89 0.80 .0245 1 0.89 0.07 .0246 2 0.89 0.67 .0247 2 0.89 0.78 .0248 2 0.89 0.69 .0249 3 0.89 0.89 .0250 3 0.89 0.75 .0251 0 0.89 0.00 .0252 2 0.89 0.83 .0253 9 0.89 0.73 .0254 4 0.89 0.93 .0255 1 0.89 0.09 .0256 1 0.89 0.58 .0257 6 0.89 0.69 .0258 3 0.89 0.97 .0259 2 0.89 0.88 .0260 4 0.91 0.65 .0261 1 0.91 0.65 .0262 1 0.91 0.08 .0263 2 0.91 0.79 .0264 11 0.91 0.31 .0265 10 0.91 0.23 .0266 1 0.91 0.25 .0267 1 0.91 0.07 .0268 2 0.91 0.72 .0269 3 0.91 0.72 .0270 4 0.91 0.75 .0271 4 0.91 0.81 .0272 7 0.91 0.74 .0273 1 0.91 0.08 .0274 6 0.91 0.42 .0275 6 0.91 0.88 .0276 9 0.91 0.28 .0277 2 0.91 0.81 .0278 2 0.91 0.91 .0279 1 0.91 0.29 .0280 5 0.90 0.77 .0281 2 0.90 0.57 .0282 4 0.90 0.73 .0283 1 0.90 0.09 .0284 4 0.90 0.63 .0285 4 0.90 0.67 .0286 1 0.90 0.49 .0287 1 0.90 0.56 .0288 3 0.90 0.71 .0289 1 0.90 0.08 .0290 11 0.90 0.26 .0291 3 0.90 0.82 .0292 1 0.90 0.46 .0293 3 0.90 0.79 .0294 0 0.90 0.00 .0295 5 0.90 0.77 .0296 3 0.90 0.69 .0297 4 0.90 0.81 .0298 4 0.90 0.87 .0299 2 0.90 0.51 .0300 1 0.90 0.76 .0301 1 0.90 0.55 .0302 1 0.90 0.52 .0303 10 0.90 0.25 .0304 2 0.90 0.70 .0305 3 0.90 0.62 .0306 2 0.90 0.84 .0307 5 0.90 0.79 .0308 1 0.90 0.50 .0309 3 0.90 0.71 .0310 5 0.90 0.69 .0311 1 0.90 0.07 .0312 3 0.90 0.85 .0313 9 0.90 0.32 .0314 1 0.90 0.07 .0315 8 0.90 0.74 .0316 9 0.90 0.56 .0317 1 0.90 0.08 .0318 3 0.90 0.76 .0319 2 0.90 0.51 EXTRACT_IMAGE: sdR-b1-00034754.fit: masked 865 pixels SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 0 median sigma(arc)= 0.90158278 sigma(sky)= -1451.2920 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 0 sigma^2(add)= 2106491.8 +/- 2180230.1 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 1 median sigma(arc)= 0.90169353 sigma(sky)= -1182.3235 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 1 sigma^2(add)= 1398348.1 +/- 2295320.2 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 2 median sigma(arc)= 0.91137947 sigma(sky)= 1.0872934 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 2 sigma^2(add)= 0.35172794 +/- 0.20539454 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 3 median sigma(arc)= 0.91698560 sigma(sky)= 0.56066109 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 3 sigma^2(add)= -0.40226775 +/- 0.56210999 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 4 median sigma(arc)= 1.0317260 sigma(sky)= 1.5913081 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 4 sigma^2(add)= 1.9178805 +/- 79149.156 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 5 median sigma(arc)= 1.0889018 sigma(sky)= 201.15359 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Line # 5 sigma^2(add)= 218206.72 +/- 576648.05 SKYLINE_DISPERSION: sdR-b1-00034754.fit: Flexure sigma^2(add) = 0.093290155 +/- 0.18322001 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034754.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b1-00034754.fit: Heliocentric correction = 23.276670 km/s FITVACSET: sdR-b1-00034754.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034754.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 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249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034754.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034754.fit: Number of pixels rejected: 2 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034754.fit: Number of sky fibers = 20 SKYSUBTRACT: sdR-b1-00034754.fit: Airmass range = 1.18519 1.21977 SKYSUBTRACT: sdR-b1-00034754.fit: Discarding 0.00588379 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 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1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034754.fit: Median sky-residual chi2 = 2.73483 SKYSUBTRACT: sdR-b1-00034754.fit: Max sky-residual chi2 = 10.5077 EXTRACT_OBJECT: sdR-b1-00034754.fit: Calling skysubtract again; masked skyfibers 273 SKYSUBTRACT: sdR-b1-00034754.fit: Number of sky fibers = 19 SKYSUBTRACT: sdR-b1-00034754.fit: Airmass range = 1.18519 1.21977 SKYSUBTRACT: sdR-b1-00034754.fit: Discarding 0.00598787 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 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of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 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of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 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of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 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of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 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of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034754.fit: Median sky-residual chi2 = 2.41881 SKYSUBTRACT: sdR-b1-00034754.fit: Max sky-residual chi2 = 7.32126 QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 71 = -13.5598 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 79 = -30.4347 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 90 = -20.1352 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 102 = 25.6271 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 124 = 36.5314 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 157 = 46.6379 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 217 = -11.6036 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 219 = -13.3442 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 246 = 12.6504 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 256 = 16.1144 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 268 = -47.6406 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 284 = -53.6334 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 290 = -47.1894 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 312 = 11.7877 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 315 = 12.3497 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 318 = 21.3527 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Median sky-residual chi = 1.55377 QAPLOT_SKYSUB: sdR-b1-00034754.fit: Max sky-residual chi = 3.04873 at 5593.7601 Ang SKYSUBTRACT: sdR-b1-00034754.fit: Number of sky fibers = 19 SKYSUBTRACT: sdR-b1-00034754.fit: Airmass range = 1.18519 1.21977 SKYSUBTRACT: sdR-b1-00034754.fit: Discarding 0.00598787 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 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of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 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of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 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of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 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1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 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1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034754.fit: Median sky-residual chi2 = 2.55901 SKYSUBTRACT: sdR-b1-00034754.fit: Max sky-residual chi2 = 8.50482 QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 71 = -11.5206 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 79 = -29.8826 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 90 = -21.7700 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 102 = 22.4466 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 124 = 31.7210 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 157 = 39.5453 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 204 = -11.6898 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 217 = -17.6474 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 219 = -18.9967 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 246 = 10.4227 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 256 = 15.5383 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 268 = -46.2816 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 284 = -48.8488 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 290 = -40.1734 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 312 = 24.1893 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 315 = 26.2063 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Warning: Median sky-sub flux in sky fiber 318 = 34.8766 electrons QAPLOT_SKYSUB: sdR-b1-00034754.fit: Median sky-residual chi = 1.58500 QAPLOT_SKYSUB: sdR-b1-00034754.fit: Max sky-residual chi = 3.26164 at 4682.6005 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. QAPLOT_SKYLINE: sdR-b1-00034754.fit: Airmass range = 1.19 1.22 QAPLOT_SKYLINE: sdR-b1-00034754.fit: Flux dispersion for skyline 4359.5 = 29.28 % QAPLOT_SKYLINE: sdR-b1-00034754.fit: Airmass range = 1.19 1.22 QAPLOT_SKYLINE: sdR-b1-00034754.fit: Flux dispersion for skyline 5578.9 = 1.46 % SPADD_GUIDERINFO: sdR-b1-00034754.fit: Number of guider frames = 11 SPREDUCE: sdR-b1-00034754.fit: Elapsed time = 173. seconds SPREDUCE: sdR-b1-00034755.fit: Reading object sdR-b1-00034755.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b1-00034755.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b1-00034755.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b1-00034755.fit: Measured read-noise in DN for amp# 2 = 3.66588 SDSSPROC: sdR-b1-00034755.fit: Measured bias value in DN for amp# 2 = 1221.06 SDSSPROC: sdR-b1-00034755.fit: Applying gain for amp# 2 = 1.10000 SDSSPROC: sdR-b1-00034755.fit: Amp #2 Number of pix below bias-5*sigma= 1202. DN is 0 SDSSPROC: sdR-b1-00034755.fit: Measured read-noise in DN for amp# 3 = 2.95862 SDSSPROC: sdR-b1-00034755.fit: Measured bias value in DN for amp# 3 = 1021.05 SDSSPROC: sdR-b1-00034755.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-b1-00034755.fit: Amp #3 Number of pix below bias-5*sigma= 1005. DN is 0 SDSSPROC: sdR-b1-00034755.fit: Number of bleading columns = 2 SDSSPROC: sdR-b1-00034755.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b1-00034755.fit: Selecting op file pixbiasave-00001-b1.fits SDSSPROC: sdR-b1-00034755.fit: Correcting with bias image pixbiasave-00001-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b1-00034755.fit: Selecting op file pixflatave-53678-b1.fits SDSSPROC: sdR-b1-00034755.fit: Correcting with pixel flat pixflatave-53678-b1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b1-00034755.fit: Science 25-th-percentile = 246.829 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b1-00034755.fit: Whopping fibers: 0 7 18 33 36 77 94 125 133 139 211 217 219 224 228 241 253 257 264 272 275 290 303 310 313 315 EXTRACT_OBJECT: sdR-b1-00034755.fit: Median counts in all fibers = 7348.50 EXTRACT_OBJECT: sdR-b1-00034755.fit: Number of bright fibers = 26 EXTRACT_OBJECT: sdR-b1-00034755.fit: Sky fiber median 784.891 EXTRACT_OBJECT: sdR-b1-00034755.fit: 5% and 95% count levels 431.724 21770.5 EXTRACT_OBJECT: sdR-b1-00034755.fit: WARNING: Disable whopping terms sdR-b1-00034755.fit MATCH_TRACE: sdR-b1-00034755.fit: Iteration: 0 Pixels Rejected: 12213 Finished? 0 MATCH_TRACE: sdR-b1-00034755.fit: Iteration: 1 Pixels Rejected: 217 Finished? 0 MATCH_TRACE: sdR-b1-00034755.fit: Iteration: 2 Pixels Rejected: 24 Finished? 0 MATCH_TRACE: sdR-b1-00034755.fit: Iteration: 3 Pixels Rejected: 3 Finished? 0 MATCH_TRACE: sdR-b1-00034755.fit: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: sdR-b1-00034755.fit: Iteration: 5 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b1-00034755.fit: Shifting traces by match_trace 0.0222168 EXTRACT_OBJECT: sdR-b1-00034755.fit: Extracting frame sdR-b1-00034755.fit with 4 step process EXTRACT_OBJECT: sdR-b1-00034755.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 3.64 .0004 1 0.92 3.52 .0005 1 0.92 3.31 .0006 1 0.92 3.11 .0007 1 0.92 3.26 .0008 1 0.92 3.17 .0009 1 0.92 3.17 .0010 1 0.92 3.11 .0011 3 0.92 3.25 .0012 1 0.93 3.32 .0013 1 0.93 3.11 .0014 1 0.93 3.11 .0015 1 0.93 3.13 .0016 2 0.93 3.10 .0017 1 0.93 3.30 .0018 2 0.93 3.17 .0019 1 0.93 3.20 .0020 3 0.93 3.19 .0021 1 0.93 3.53 .0022 1 0.93 3.34 .0023 2 0.93 3.38 .0024 2 0.93 3.43 .0025 2 0.93 3.32 .0026 2 0.93 3.45 .0027 1 0.93 3.68 .0028 2 0.93 3.55 .0029 1 0.93 4.02 .0030 2 0.93 3.94 .0031 1 0.93 3.92 .0032 1 0.93 3.75 .0033 1 0.93 3.71 .0034 1 0.93 3.77 .0035 1 0.93 4.06 .0036 1 0.93 3.96 .0037 1 0.93 4.11 .0038 2 0.93 4.49 .0039 2 0.93 4.31 .0040 1 0.93 4.38 .0041 2 0.93 4.18 .0042 1 0.93 4.37 .0043 1 0.93 4.58 .0044 1 0.93 4.55 .0045 1 0.93 4.65 .0046 1 0.93 4.89 .0047 2 0.93 4.76 .0048 1 0.93 4.78 .0049 2 0.93 4.80 .0050 2 0.93 4.69 .0051 1 0.93 5.48 .0052 1 0.93 5.32 .0053 2 0.93 5.18 .0054 1 0.93 5.30 .0055 2 0.94 5.30 .0056 1 0.94 5.30 .0057 2 0.94 5.60 .0058 2 0.94 5.85 .0059 1 0.94 5.49 .0060 3 0.94 5.57 .0061 2 0.94 5.55 .0062 1 0.94 5.54 .0063 3 0.94 5.76 .0064 2 0.94 5.94 .0065 2 0.94 6.02 .0066 2 0.94 6.03 .0067 3 0.94 6.04 .0068 1 0.94 5.80 .0069 1 0.94 6.01 .0070 1 0.94 6.19 .0071 1 0.94 6.11 .0072 1 0.94 6.06 .0073 2 0.94 6.21 .0074 1 0.94 6.40 .0075 1 0.94 6.13 .0076 1 0.94 6.57 .0077 1 0.94 6.35 .0078 1 0.94 6.28 .0079 1 0.94 6.61 .0080 2 0.94 6.20 .0081 1 0.94 6.22 .0082 1 0.94 6.31 .0083 1 0.94 6.53 .0084 1 0.94 6.31 .0085 1 0.94 6.51 .0086 1 0.94 6.47 .0087 1 0.94 6.39 .0088 1 0.94 6.37 .0089 2 0.94 6.72 .0090 1 0.94 6.64 .0091 1 0.94 6.56 .0092 1 0.94 6.47 .0093 2 0.94 6.42 .0094 1 0.94 6.45 .0095 1 0.94 6.57 .0096 1 0.94 6.94 .0097 2 0.94 6.61 .0098 2 0.94 6.61 .0099 2 0.94 6.65 .0100 3 0.94 6.62 .0101 2 0.94 6.63 .0102 1 0.94 6.67 .0103 1 0.94 6.68 .0104 2 0.94 7.82 .0105 2 0.94 6.77 .0106 2 0.95 6.87 .0107 2 0.95 6.92 .0108 1 0.95 6.62 .0109 1 0.95 6.56 .0110 2 0.95 7.37 .0111 1 0.95 7.16 .0112 2 0.95 7.00 .0113 2 0.95 7.11 .0114 2 0.95 6.84 .0115 2 0.95 6.82 .0116 1 0.95 7.63 .0117 1 0.95 6.96 .0118 1 0.95 6.96 .0119 1 0.95 7.19 .0120 1 0.95 7.18 .0121 2 0.95 7.07 .0122 2 0.95 6.96 .0123 1 0.95 7.07 .0124 2 0.95 7.03 .0125 1 0.95 7.40 .0126 1 0.95 6.83 .0127 1 0.95 7.05 .0128 1 0.95 7.28 .0129 2 0.95 7.04 .0130 2 0.95 7.54 .0131 5 0.95 7.35 .0132 4 0.95 7.17 .0133 4 0.95 7.86 .0134 2 0.95 7.13 .0135 2 0.95 7.25 .0136 2 0.95 7.12 .0137 1 0.95 7.20 .0138 3 0.95 7.14 .0139 3 0.95 7.20 .0140 2 0.95 7.05 .0141 1 0.95 7.29 .0142 1 0.95 6.82 .0143 1 0.95 7.05 .0144 2 0.95 7.01 .0145 1 0.95 7.00 .0146 2 0.95 7.54 .0147 2 0.95 6.84 .0148 2 0.95 7.16 .0149 1 0.95 7.06 .0150 1 0.95 7.05 .0151 1 0.95 7.06 .0152 1 0.95 7.09 .0153 1 0.95 7.29 .0154 1 0.95 7.08 .0155 2 0.95 6.99 .0156 1 0.95 6.83 .0157 1 0.95 7.20 .0158 2 0.95 7.07 .0159 1 0.95 7.56 .0160 1 0.95 7.00 .0161 1 0.95 6.83 .0162 1 0.95 6.77 .0163 1 0.95 6.94 .0164 2 0.95 6.98 .0165 1 0.95 6.82 .0166 1 0.95 6.74 .0167 2 0.95 7.00 .0168 1 0.95 7.32 .0169 1 0.95 7.01 .0170 2 0.96 7.20 .0171 2 0.96 7.17 .0172 3 0.96 6.63 .0173 1 0.96 6.95 .0174 1 0.96 6.90 .0175 1 0.96 6.94 .0176 1 0.96 6.94 .0177 1 0.96 6.81 .0178 2 0.96 7.07 .0179 2 0.96 7.54 .0180 1 0.96 7.09 .0181 2 0.96 6.87 .0182 2 0.96 7.00 .0183 1 0.96 6.91 .0184 1 0.96 6.71 .0185 2 0.96 7.45 .0186 4 0.96 7.07 .0187 2 0.96 7.29 .0188 1 0.96 7.04 .0189 3 0.96 7.30 .0190 3 0.96 6.84 .0191 1 0.96 7.75 .0192 1 0.96 6.96 .0193 1 0.96 6.92 .0194 1 0.96 6.81 .0195 1 0.96 6.99 .0196 1 0.96 7.21 .0197 2 0.96 7.51 .0198 3 0.96 6.95 .0199 2 0.96 7.16 .0200 1 0.96 7.33 .0201 4 0.96 7.24 .0202 3 0.96 7.25 .0203 2 0.96 6.98 .0204 2 0.96 6.94 .0205 1 0.96 6.88 .0206 1 0.96 6.85 .0207 1 0.96 7.00 .0208 1 0.96 6.81 .0209 2 0.96 6.80 .0210 1 0.96 6.61 .0211 1 0.96 7.04 .0212 2 0.96 7.37 .0213 1 0.96 7.22 .0214 1 0.96 6.97 .0215 1 0.96 6.81 .0216 1 0.96 6.82 .0217 3 0.96 7.33 .0218 3 0.96 7.73 .0219 2 0.96 7.20 .0220 1 0.96 7.15 .0221 1 0.96 7.29 .0222 2 0.96 7.04 .0223 2 0.96 7.66 .0224 2 0.96 7.75 .0225 1 0.96 7.42 .0226 2 0.96 7.54 .0227 1 0.96 7.66 .0228 1 0.96 7.69 .0229 3 0.96 7.84 .0230 2 0.96 8.41 .0231 2 0.96 7.77 .0232 1 0.96 8.13 .0233 3 0.96 7.90 .0234 1 0.96 8.09 .0235 3 0.96 7.88 .0236 1 0.96 8.06 .0237 3 0.96 8.07 .0238 1 0.96 7.96 .0239 2 0.96 8.38 .0240 2 0.96 8.32 .0241 2 0.96 8.60 .0242 2 0.96 8.71 .0243 1 0.96 8.19 .0244 1 0.96 8.24 .0245 1 0.96 8.47 .0246 1 0.96 8.30 .0247 1 0.96 8.83 .0248 2 0.96 8.74 .0249 1 0.96 8.70 .0250 1 0.96 8.59 .0251 1 0.96 8.90 .0252 1 0.96 9.10 .0253 1 0.96 9.51 .0254 2 0.96 9.01 .0255 2 0.96 9.00 .0256 1 0.96 9.19 .0257 1 0.96 9.48 .0258 1 0.96 9.83 .0259 2 0.97 9.82 .0260 2 0.97 9.49 .0261 1 0.97 10.15 .0262 3 0.97 9.85 .0263 2 0.97 10.10 .0264 2 0.97 10.49 .0265 1 0.97 10.96 .0266 2 0.97 10.20 .0267 2 0.97 10.52 .0268 2 0.97 10.25 .0269 2 0.97 10.57 .0270 2 0.97 10.84 .0271 1 0.97 10.67 .0272 1 0.97 9.87 .0273 1 0.97 9.79 .0274 1 0.97 9.85 .0275 1 0.97 10.13 .0276 1 0.97 10.19 .0277 2 0.97 11.53 .0278 4 0.97 10.44 .0279 2 0.97 11.07 .0280 3 0.97 10.19 .0281 2 0.97 10.51 .0282 1 0.97 9.99 .0283 1 0.97 10.61 .0284 2 0.97 10.19 .0285 2 0.97 11.01 .0286 2 0.97 10.17 .0287 1 0.97 10.29 .0288 1 0.97 10.36 .0289 1 0.97 10.49 .0290 1 0.97 10.41 .0291 1 0.97 10.08 .0292 1 0.97 10.62 .0293 1 0.97 10.25 .0294 1 0.97 10.58 .0295 1 0.97 10.87 .0296 1 0.97 10.23 .0297 2 0.97 10.29 .0298 1 0.97 10.61 .0299 1 0.97 10.77 .0300 2 0.97 11.19 .0301 2 0.97 10.80 .0302 2 0.97 10.68 .0303 1 0.97 10.31 .0304 1 0.97 10.73 .0305 1 0.97 10.96 .0306 1 0.97 10.73 .0307 1 0.97 10.59 .0308 1 0.97 10.97 .0309 1 0.97 11.79 .0310 2 0.97 11.02 .0311 1 0.97 10.66 .0312 1 0.97 10.62 .0313 1 0.97 10.72 .0314 2 0.97 10.73 .0315 2 0.97 11.11 .0316 1 0.97 11.04 .0317 1 0.97 10.73 .0318 2 0.97 11.03 .0319 1 0.97 11.86 .0320 2 0.97 11.40 .0321 1 0.97 11.02 .0322 2 0.97 11.34 .0323 2 0.97 10.99 .0324 1 0.97 10.61 .0325 1 0.97 11.27 .0326 2 0.97 11.18 .0327 1 0.97 11.55 .0328 1 0.97 11.13 .0329 1 0.97 11.38 .0330 1 0.97 10.99 .0331 2 0.97 11.10 .0332 1 0.97 12.73 .0333 1 0.97 11.71 .0334 1 0.97 11.10 .0335 1 0.97 11.44 .0336 2 0.97 12.09 .0337 1 0.97 11.77 .0338 2 0.97 11.27 .0339 1 0.97 11.39 .0340 2 0.97 11.14 .0341 1 0.97 11.15 .0342 1 0.97 11.26 .0343 1 0.97 10.72 .0344 1 0.97 10.99 .0345 1 0.97 11.69 .0346 1 0.97 11.05 .0347 1 0.97 11.10 .0348 1 0.97 11.48 .0349 1 0.97 11.14 .0350 2 0.97 11.16 .0351 1 0.97 10.89 .0352 1 0.97 11.26 .0353 2 0.97 10.93 .0354 1 0.97 11.63 .0355 1 0.97 10.86 .0356 1 0.97 11.41 .0357 1 0.97 11.00 .0358 2 0.97 10.77 .0359 1 0.97 10.73 .0360 2 0.97 10.44 .0361 1 0.97 10.91 .0362 3 0.97 10.85 .0363 2 0.97 12.60 .0364 1 0.97 10.54 .0365 1 0.97 10.85 .0366 1 0.97 11.35 .0367 1 0.97 11.03 .0368 2 0.97 11.41 .0369 1 0.97 11.73 .0370 1 0.97 11.40 .0371 1 0.97 11.41 .0372 2 0.97 11.24 .0373 2 0.97 11.26 .0374 1 0.97 11.48 .0375 1 0.97 11.97 .0376 1 0.97 11.49 .0377 1 0.97 11.39 .0378 1 0.97 10.90 .0379 2 0.97 11.12 .0380 1 0.97 11.19 .0381 1 0.97 11.07 .0382 1 0.97 11.37 .0383 1 0.97 11.32 .0384 2 0.97 10.99 .0385 2 0.97 11.24 .0386 1 0.97 11.30 .0387 1 0.97 11.23 .0388 1 0.97 11.10 .0389 3 0.97 11.76 .0390 1 0.97 12.09 .0391 3 0.97 11.51 .0392 1 0.97 11.41 .0393 2 0.97 11.54 .0394 2 0.97 11.56 .0395 1 0.97 11.75 .0396 1 0.97 11.62 .0397 2 0.97 11.61 .0398 1 0.97 11.77 .0399 2 0.97 11.11 .0400 1 0.97 11.26 .0401 2 0.97 11.56 .0402 1 0.97 11.41 .0403 1 0.97 11.45 .0404 1 0.97 11.55 .0405 1 0.97 11.41 .0406 1 0.97 11.95 .0407 1 0.97 11.39 .0408 1 0.97 11.69 .0409 1 0.97 12.04 .0410 1 0.97 11.42 .0411 1 0.97 11.69 .0412 1 0.97 11.31 .0413 1 0.97 11.46 .0414 1 0.97 11.33 .0415 1 0.97 11.38 .0416 1 0.97 11.43 .0417 1 0.97 11.81 .0418 2 0.97 12.09 .0419 2 0.97 11.49 .0420 2 0.97 11.01 .0421 1 0.97 12.45 .0422 1 0.97 12.67 .0423 2 0.98 11.86 .0424 1 0.98 12.07 .0425 1 0.98 12.20 .0426 1 0.98 11.95 .0427 1 0.98 11.20 .0428 1 0.98 11.99 .0429 2 0.98 11.24 .0430 2 0.98 11.08 .0431 2 0.98 11.45 .0432 1 0.98 11.48 .0433 2 0.98 11.45 .0434 2 0.98 11.37 .0435 1 0.98 10.99 .0436 2 0.98 11.05 .0437 3 0.98 11.29 .0438 1 0.98 11.31 .0439 1 0.98 11.28 .0440 1 0.98 11.10 .0441 1 0.98 10.93 .0442 1 0.98 11.42 .0443 1 0.98 12.18 .0444 2 0.98 11.38 .0445 2 0.98 11.54 .0446 1 0.98 10.62 .0447 1 0.98 10.99 .0448 1 0.98 11.43 .0449 1 0.98 12.74 .0450 2 0.98 10.90 .0451 2 0.98 10.92 .0452 1 0.98 11.04 .0453 1 0.98 10.95 .0454 2 0.98 10.65 .0455 1 0.98 10.79 .0456 2 0.98 10.47 .0457 1 0.98 10.83 .0458 1 0.98 10.72 .0459 1 0.98 11.16 .0460 1 0.98 10.80 .0461 1 0.98 11.83 .0462 1 0.98 11.12 .0463 1 0.98 10.80 .0464 1 0.98 10.69 .0465 1 0.98 10.94 .0466 1 0.98 10.83 .0467 1 0.98 10.38 .0468 2 0.98 10.70 .0469 1 0.98 10.65 .0470 2 0.98 11.01 .0471 2 0.98 11.67 .0472 1 0.98 11.00 .0473 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7.36 .1829 1 0.99 7.20 .1830 1 0.99 7.36 .1831 2 0.99 7.61 .1832 3 0.99 7.41 .1833 3 0.99 7.00 .1834 1 0.99 6.88 .1835 1 0.99 6.89 .1836 1 0.99 7.28 .1837 2 0.99 7.54 .1838 1 0.99 6.99 .1839 1 0.99 6.91 .1840 2 0.99 7.09 .1841 2 0.99 9.02 .1842 2 0.99 7.24 .1843 3 0.99 7.11 .1844 3 0.99 6.75 .1845 2 0.99 6.70 .1846 1 0.99 7.09 .1847 1 0.99 6.72 .1848 2 0.99 6.91 .1849 1 0.99 7.24 .1850 2 0.99 7.04 .1851 2 0.99 6.67 .1852 1 0.99 6.48 .1853 2 0.99 6.61 .1854 2 0.99 6.45 .1855 1 0.99 6.57 .1856 1 0.99 6.33 .1857 1 0.99 6.45 .1858 3 0.99 6.50 .1859 3 0.99 6.23 .1860 1 0.99 6.27 .1861 1 0.99 6.50 .1862 1 0.99 6.05 .1863 2 0.99 6.64 .1864 2 0.99 6.64 .1865 1 0.99 6.32 .1866 1 0.99 6.07 .1867 2 0.99 5.72 .1868 2 0.99 5.82 .1869 2 0.99 5.70 .1870 3 0.99 5.65 .1871 2 0.99 5.40 .1872 1 0.99 5.26 .1873 1 0.99 5.31 .1874 3 0.99 5.46 .1875 2 0.99 5.06 .1876 2 0.99 4.71 .1877 2 0.99 4.55 .1878 2 0.99 4.30 .1879 2 0.99 4.34 .1880 2 0.99 4.38 .1881 2 0.99 3.90 .1882 2 0.99 3.90 .1883 3 0.99 3.85 .1884 1 0.99 3.74 .1885 1 0.99 3.74 .1886 1 0.99 3.87 .1887 2 0.99 4.45 .1888 2 0.99 3.93 .1889 2 0.99 4.10 .1890 2 0.99 4.06 .1891 1 0.99 4.09 .1892 2 0.99 4.57 .1893 1 0.99 4.22 .1894 2 0.99 4.34 .1895 1 0.99 4.52 .1896 1 0.99 4.49 .1897 1 0.99 4.54 .1898 1 0.99 4.87 .1899 2 0.99 5.29 .1900 2 0.99 4.80 .1901 1 0.99 5.38 .1902 1 0.99 5.03 .1903 2 0.99 5.18 .1904 1 0.99 5.51 .1905 3 0.99 5.53 .1906 2 0.99 5.73 .1907 1 0.99 5.34 .1908 2 0.99 5.57 .1909 2 0.99 5.78 .1910 2 0.99 5.28 .1911 2 0.99 5.05 .1912 2 0.99 5.09 .1913 2 0.99 4.87 .1914 2 0.99 5.12 .1915 3 0.99 4.66 .1916 3 0.99 4.50 .1917 2 0.99 4.82 .1918 1 0.99 4.57 .1919 1 0.99 4.58 .1920 1 0.99 5.43 .1921 3 0.99 5.48 .1922 4 0.99 4.84 .1923 1 0.99 4.98 .1924 1 0.99 4.87 .1925 1 0.99 4.81 .1926 2 0.99 5.11 .1927 1 0.99 5.07 .1928 1 0.99 5.13 .1929 2 0.99 5.05 .1930 3 0.99 5.61 .1931 2 0.99 5.62 .1932 2 0.99 5.47 .1933 1 0.99 5.41 .1934 2 0.99 5.23 .1935 2 0.99 5.42 .1936 2 0.99 5.43 .1937 2 0.99 5.86 .1938 2 0.99 5.44 .1939 1 0.99 5.39 .1940 1 0.99 5.77 .1941 1 0.99 5.61 .1942 1 0.99 5.02 .1943 1 0.99 5.26 .1944 1 0.99 5.45 .1945 2 0.99 5.76 .1946 3 0.99 5.26 .1947 2 0.99 5.19 .1948 2 0.99 5.19 .1949 3 0.99 4.85 .1950 2 0.99 5.01 .1951 2 0.99 4.92 .1952 2 0.99 4.84 .1953 2 0.99 4.74 .1954 1 0.99 4.67 .1955 1 0.99 4.70 .1956 3 0.99 5.38 .1957 2 0.99 4.28 .1958 2 0.99 4.55 .1959 2 0.99 4.16 .1960 2 0.99 4.30 .1961 2 0.99 4.25 .1962 4 0.99 4.14 .1963 3 0.99 3.96 .1964 2 0.99 3.97 .1965 1 0.99 3.89 .1966 4 0.99 4.44 .1967 3 0.99 4.01 .1968 2 0.99 3.99 .1969 2 0.99 3.75 .1970 1 0.99 3.86 .1971 1 0.99 4.17 .1972 2 0.99 4.15 .1973 1 0.99 3.98 .1974 1 0.99 3.97 .1975 1 0.99 4.19 .1976 1 0.99 4.16 .1977 1 0.99 4.26 .1978 3 0.99 4.30 .1979 3 0.99 4.50 .1980 2 0.99 4.59 .1981 1 0.99 4.64 .1982 1 0.99 4.63 .1983 1 0.99 4.60 .1984 2 0.99 4.82 .1985 1 0.99 4.82 .1986 1 0.99 4.85 .1987 2 0.99 5.01 .1988 1 0.99 5.01 .1989 2 0.99 4.92 .1990 3 0.99 4.88 .1991 3 0.99 5.11 .1992 3 0.99 5.12 .1993 2 0.99 4.98 .1994 1 0.99 4.91 .1995 1 0.99 4.93 .1996 2 0.99 5.02 .1997 2 0.99 4.85 .1998 2 0.99 5.05 .1999 1 0.99 5.11 .2000 1 1.00 4.76 .2001 1 1.00 4.83 .2002 5 1.00 4.82 .2003 5 1.00 4.52 .2004 3 1.00 5.06 .2005 3 1.00 4.64 .2006 1 1.00 4.49 .2007 2 1.00 4.58 .2008 2 1.00 4.24 .2009 2 1.00 4.37 .2010 2 1.00 3.92 .2011 3 1.00 4.02 .2012 2 1.00 3.99 .2013 3 1.00 4.02 .2014 2 1.00 3.60 .2015 2 1.00 4.11 .2016 3 1.00 3.56 .2017 1 1.00 3.55 .2018 3 1.00 3.40 .2019 1 1.00 3.47 .2020 1 1.00 3.30 .2021 3 1.00 3.47 .2022 3 1.00 3.26 .2023 3 1.00 3.43 .2024 1 1.00 3.36 .2025 2 1.00 3.58 .2026 2 1.00 3.61 .2027 2 1.00 3.53 .2028 2 1.00 3.18 .2029 1 1.00 3.47 .2030 2 1.00 3.52 .2031 2 1.00 3.59 .2032 5 1.00 3.68 .2033 3 1.00 3.92 .2034 3 1.00 3.80 .2035 2 1.00 3.97 .2036 3 1.00 4.10 .2037 3 1.00 3.73 .2038 2 1.00 4.58 .2039 3 1.00 4.00 .2040 3 1.00 4.24 .2041 3 1.00 4.40 .2042 2 1.00 4.65 .2043 2 1.00 4.07 .2044 2 1.00 3.91 .2045 1 1.00 3.75 .2046 1 1.00 3.78 .2047 2 1.00 4.02 EXTRACT_IMAGE: sdR-b1-00034755.fit: masked 1312 pixels EXTRACT_OBJECT: sdR-b1-00034755.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b1-00034755.fit: WARNING: Scattered light median = 97.6347 electrons QAPLOT_SCATLIGHT: sdR-b1-00034755.fit: WARNING: Scattered light max = 313.361 electrons EXTRACT_OBJECT: sdR-b1-00034755.fit: Step 3: Calculate halo image DOSCATTER: sdR-b1-00034755.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b1-00034755.fit: Selecting op file scattering-b1-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b1-00034755.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 64 0.02 0.11 Step 10 of 2080 0.61 64 0.03 0.12 Step 14 of 2080 0.61 64 0.03 0.11 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.02 0.11 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.03 0.11 Step 34 of 2080 0.61 64 0.03 0.11 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.02 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of 2080 0.58 64 0.03 0.11 Step 282 of 2080 0.58 64 0.03 0.11 Step 286 of 2080 0.58 64 0.03 0.11 Step 290 of 2080 0.58 64 0.03 0.11 Step 294 of 2080 0.58 64 0.03 0.11 Step 298 of 2080 0.58 64 0.04 0.12 Step 302 of 2080 0.58 64 0.04 0.13 Step 306 of 2080 0.58 64 0.04 0.13 Step 310 of 2080 0.58 64 0.04 0.13 Step 314 of 2080 0.58 64 0.04 0.13 Step 318 of 2080 0.58 64 0.04 0.12 Step 322 of 2080 0.58 64 0.04 0.12 Step 326 of 2080 0.58 64 0.04 0.12 Step 330 of 2080 0.57 64 0.04 0.12 Step 334 of 2080 0.57 64 0.04 0.12 Step 338 of 2080 0.57 64 0.04 0.12 Step 342 of 2080 0.57 64 0.04 0.13 Step 346 of 2080 0.57 64 0.04 0.13 Step 350 of 2080 0.57 64 0.05 0.14 Step 354 of 2080 0.57 64 0.05 0.14 Step 358 of 2080 0.57 64 0.04 0.13 Step 362 of 2080 0.57 64 0.04 0.14 Step 366 of 2080 0.57 64 0.04 0.12 Step 370 of 2080 0.57 64 0.04 0.13 Step 374 of 2080 0.57 64 0.03 0.13 Step 378 of 2080 0.57 64 0.03 0.13 Step 382 of 2080 0.57 64 0.03 0.12 Step 386 of 2080 0.57 64 0.03 0.12 Step 390 of 2080 0.57 64 0.03 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1186 of 2080 0.47 64 0.02 0.11 Step 1190 of 2080 0.47 64 0.02 0.11 Step 1194 of 2080 0.47 64 0.02 0.11 Step 1198 of 2080 0.47 64 0.02 0.11 Step 1202 of 2080 0.47 64 0.04 0.12 Step 1206 of 2080 0.47 64 0.03 0.12 Step 1210 of 2080 0.47 64 0.03 0.11 Step 1214 of 2080 0.47 64 0.03 0.11 Step 1218 of 2080 0.47 64 0.03 0.11 Step 1222 of 2080 0.47 64 0.03 0.12 Step 1226 of 2080 0.47 64 0.03 0.11 Step 1230 of 2080 0.47 64 0.03 0.11 Step 1234 of 2080 0.47 64 0.03 0.11 Step 1238 of 2080 0.47 64 0.03 0.11 Step 1242 of 2080 0.47 64 0.03 0.11 Step 1246 of 2080 0.47 64 0.03 0.11 Step 1250 of 2080 0.47 64 0.03 0.12 Step 1254 of 2080 0.46 64 0.03 0.11 Step 1258 of 2080 0.46 64 0.03 0.11 Step 1262 of 2080 0.46 64 0.03 0.11 Step 1266 of 2080 0.46 64 0.03 0.12 Step 1270 of 2080 0.46 64 0.03 0.12 Step 1274 of 2080 0.46 64 0.03 0.12 Step 1278 of 2080 0.46 64 0.03 0.11 Step 1282 of 2080 0.46 64 0.03 0.12 Step 1286 of 2080 0.46 64 0.03 0.11 Step 1290 of 2080 0.46 64 0.03 0.12 Step 1294 of 2080 0.46 64 0.03 0.12 Step 1298 of 2080 0.46 64 0.03 0.12 Step 1302 of 2080 0.46 64 0.03 0.12 Step 1306 of 2080 0.46 64 0.03 0.12 Step 1310 of 2080 0.46 64 0.03 0.12 Step 1314 of 2080 0.46 64 0.03 0.12 Step 1318 of 2080 0.46 64 0.03 0.12 Step 1322 of 2080 0.46 64 0.03 0.12 Step 1326 of 2080 0.46 64 0.03 0.12 Step 1330 of 2080 0.46 64 0.03 0.11 Step 1334 of 2080 0.46 64 0.03 0.12 Step 1338 of 2080 0.46 64 0.03 0.11 Step 1342 of 2080 0.45 64 0.03 0.12 Step 1346 of 2080 0.45 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.03 0.12 Step 1354 of 2080 0.45 64 0.03 0.12 Step 1358 of 2080 0.45 64 0.03 0.12 Step 1362 of 2080 0.45 64 0.03 0.12 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.03 0.11 Step 1374 of 2080 0.45 64 0.03 0.12 Step 1378 of 2080 0.45 64 0.02 0.11 Step 1382 of 2080 0.45 64 0.03 0.12 Step 1386 of 2080 0.45 64 0.03 0.12 Step 1390 of 2080 0.45 64 0.03 0.12 Step 1394 of 2080 0.45 64 0.03 0.13 Step 1398 of 2080 0.45 64 0.04 0.14 Step 1402 of 2080 0.45 64 0.03 0.12 Step 1406 of 2080 0.45 64 0.03 0.12 Step 1410 of 2080 0.45 64 0.03 0.12 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.03 0.12 Step 1422 of 2080 0.45 64 0.03 0.12 Step 1426 of 2080 0.45 64 0.03 0.12 Step 1430 of 2080 0.45 64 0.03 0.13 Step 1434 of 2080 0.44 64 0.03 0.12 Step 1438 of 2080 0.44 64 0.03 0.11 Step 1442 of 2080 0.44 64 0.03 0.11 Step 1446 of 2080 0.44 64 0.03 0.12 Step 1450 of 2080 0.44 64 0.03 0.12 Step 1454 of 2080 0.44 64 0.03 0.12 Step 1458 of 2080 0.44 64 0.03 0.12 Step 1462 of 2080 0.44 64 0.04 0.13 Step 1466 of 2080 0.44 64 0.03 0.13 Step 1470 of 2080 0.44 64 0.02 0.12 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.03 0.12 Step 1482 of 2080 0.44 64 0.03 0.12 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 0.44 64 0.03 0.11 Step 1494 of 2080 0.44 64 0.03 0.11 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.03 0.12 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.03 0.12 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.03 0.11 Step 1522 of 2080 0.44 64 0.03 0.12 Step 1526 of 2080 0.43 64 0.03 0.12 Step 1530 of 2080 0.43 64 0.03 0.12 Step 1534 of 2080 0.43 64 0.03 0.12 Step 1538 of 2080 0.43 64 0.02 0.11 Step 1542 of 2080 0.43 64 0.03 0.12 Step 1546 of 2080 0.43 64 0.02 0.11 Step 1550 of 2080 0.43 64 0.03 0.11 Step 1554 of 2080 0.43 64 0.03 0.11 Step 1558 of 2080 0.43 64 0.03 0.12 Step 1562 of 2080 0.43 64 0.03 0.12 Step 1566 of 2080 0.43 64 0.04 0.13 Step 1570 of 2080 0.43 64 0.03 0.12 Step 1574 of 2080 0.43 64 0.03 0.11 Step 1578 of 2080 0.43 64 0.04 0.12 Step 1582 of 2080 0.43 64 0.03 0.12 Step 1586 of 2080 0.43 64 0.03 0.13 Step 1590 of 2080 0.43 64 0.03 0.11 Step 1594 of 2080 0.43 64 0.03 0.12 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.11 Step 1606 of 2080 0.43 64 0.03 0.13 Step 1610 of 2080 0.43 64 0.03 0.11 Step 1614 of 2080 0.43 64 0.03 0.11 Step 1618 of 2080 0.42 64 0.03 0.11 Step 1622 of 2080 0.42 64 0.03 0.12 Step 1626 of 2080 0.42 64 0.03 0.11 Step 1630 of 2080 0.42 64 0.04 0.13 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.04 0.14 Step 1642 of 2080 0.42 64 0.03 0.12 Step 1646 of 2080 0.42 64 0.04 0.12 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.11 Step 1658 of 2080 0.42 64 0.03 0.11 Step 1662 of 2080 0.42 64 0.04 0.12 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.04 0.12 Step 1674 of 2080 0.42 64 0.04 0.12 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.12 Step 1686 of 2080 0.42 64 0.03 0.11 Step 1690 of 2080 0.42 64 0.03 0.12 Step 1694 of 2080 0.42 64 0.04 0.12 Step 1698 of 2080 0.42 64 0.04 0.12 Step 1702 of 2080 0.42 64 0.04 0.12 Step 1706 of 2080 0.42 64 0.03 0.12 Step 1710 of 2080 0.42 64 0.03 0.12 Step 1714 of 2080 0.41 64 0.03 0.11 Step 1718 of 2080 0.41 64 0.03 0.12 Step 1722 of 2080 0.41 64 0.03 0.11 Step 1726 of 2080 0.41 64 0.03 0.11 Step 1730 of 2080 0.41 64 0.03 0.11 Step 1734 of 2080 0.41 64 0.03 0.11 Step 1738 of 2080 0.41 64 0.03 0.12 Step 1742 of 2080 0.41 64 0.03 0.11 Step 1746 of 2080 0.41 64 0.03 0.11 Step 1750 of 2080 0.41 64 0.03 0.13 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.11 Step 1762 of 2080 0.41 64 0.03 0.11 Step 1766 of 2080 0.41 64 0.03 0.11 Step 1770 of 2080 0.41 64 0.03 0.11 Step 1774 of 2080 0.41 64 0.03 0.11 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.04 0.12 Step 1786 of 2080 0.41 64 0.03 0.13 Step 1790 of 2080 0.41 64 0.03 0.14 Step 1794 of 2080 0.41 64 0.03 0.12 Step 1798 of 2080 0.41 64 0.03 0.12 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.41 64 0.03 0.12 Step 1810 of 2080 0.40 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.13 Step 1822 of 2080 0.40 64 0.03 0.13 Step 1826 of 2080 0.40 64 0.03 0.13 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.03 0.12 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.12 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.02 0.12 Step 1858 of 2080 0.40 64 0.02 0.12 Step 1862 of 2080 0.40 64 0.03 0.11 Step 1866 of 2080 0.40 64 0.02 0.11 Step 1870 of 2080 0.40 64 0.03 0.11 Step 1874 of 2080 0.40 64 0.03 0.11 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.03 0.13 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.12 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.03 0.12 Step 1906 of 2080 0.39 64 0.03 0.13 Step 1910 of 2080 0.39 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.02 0.11 Step 1934 of 2080 0.39 64 0.03 0.12 Step 1938 of 2080 0.39 64 0.02 0.11 Step 1942 of 2080 0.39 64 0.02 0.11 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.02 0.11 Step 1954 of 2080 0.39 64 0.02 0.11 Step 1958 of 2080 0.39 64 0.02 0.11 Step 1962 of 2080 0.39 64 0.02 0.11 Step 1966 of 2080 0.39 64 0.02 0.11 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.13 Step 1986 of 2080 0.39 64 0.03 0.13 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.03 0.13 Step 1998 of 2080 0.39 64 0.03 0.12 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.38 64 0.03 0.12 Step 2010 of 2080 0.38 64 0.03 0.11 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.03 0.12 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.04 0.12 Step 2038 of 2080 0.38 64 0.03 0.11 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 32 0.01 0.06 Step 2050 of 2080 0.38 32 0.01 0.06 Step 2054 of 2080 0.38 32 0.02 0.06 Step 2058 of 2080 0.38 32 0.02 0.06 Step 2062 of 2080 0.38 32 0.02 0.06 Step 2066 of 2080 0.38 32 0.01 0.06 Step 2070 of 2080 0.38 32 0.01 0.06 Step 2074 of 2080 0.38 32 0.02 0.07 Step 2078 of 2080 0.38 32 0.02 0.06 EXTRACT_OBJECT: sdR-b1-00034755.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.92 0.00 .0001 0 0.92 0.00 .0002 0 0.92 0.00 .0003 1 0.92 2.67 .0004 1 0.92 2.35 .0005 1 0.92 2.10 .0006 1 0.92 1.90 .0007 1 0.92 1.98 .0008 1 0.92 1.90 .0009 1 0.92 1.87 .0010 1 0.92 1.78 .0011 3 0.92 1.83 .0012 1 0.93 1.82 .0013 1 0.93 1.67 .0014 1 0.93 1.62 .0015 1 0.93 1.61 .0016 2 0.93 1.51 .0017 1 0.93 1.63 .0018 2 0.93 1.54 .0019 1 0.93 1.51 .0020 3 0.93 1.46 .0021 2 0.93 1.54 .0022 1 0.93 1.54 .0023 2 0.93 1.51 .0024 2 0.93 1.46 .0025 2 0.93 1.53 .0026 2 0.93 1.55 .0027 2 0.93 1.65 .0028 2 0.93 1.59 .0029 3 0.93 1.74 .0030 3 0.93 1.80 .0031 1 0.93 1.90 .0032 1 0.93 1.90 .0033 1 0.93 1.90 .0034 1 0.93 2.09 .0035 1 0.93 2.07 .0036 1 0.93 2.19 .0037 1 0.93 2.22 .0038 2 0.93 2.28 .0039 2 0.93 2.51 .0040 1 0.93 2.45 .0041 2 0.93 2.47 .0042 1 0.93 2.41 .0043 1 0.93 2.51 .0044 1 0.93 2.35 .0045 1 0.93 2.38 .0046 1 0.93 2.46 .0047 2 0.93 2.27 .0048 1 0.93 2.41 .0049 2 0.93 2.53 .0050 2 0.93 2.42 .0051 2 0.93 2.77 .0052 1 0.93 2.88 .0053 2 0.93 2.68 .0054 2 0.93 2.60 .0055 2 0.94 2.76 .0056 1 0.94 2.71 .0057 2 0.94 2.75 .0058 2 0.94 3.13 .0059 1 0.94 2.93 .0060 3 0.94 2.89 .0061 2 0.94 3.02 .0062 1 0.94 2.87 .0063 3 0.94 3.00 .0064 2 0.94 3.11 .0065 2 0.94 3.14 .0066 2 0.94 3.24 .0067 2 0.94 3.39 .0068 1 0.94 3.23 .0069 1 0.94 3.29 .0070 1 0.94 3.24 .0071 1 0.94 3.27 .0072 1 0.94 3.22 .0073 2 0.94 3.33 .0074 1 0.94 3.58 .0075 1 0.94 3.30 .0076 1 0.94 3.77 .0077 1 0.94 3.48 .0078 1 0.94 3.37 .0079 2 0.94 3.54 .0080 2 0.94 3.43 .0081 1 0.94 3.34 .0082 1 0.94 3.42 .0083 1 0.94 3.47 .0084 1 0.94 3.31 .0085 1 0.94 3.49 .0086 1 0.94 3.60 .0087 1 0.94 3.36 .0088 1 0.94 3.40 .0089 2 0.94 3.60 .0090 1 0.94 3.57 .0091 1 0.94 3.31 .0092 1 0.94 3.45 .0093 2 0.94 3.36 .0094 1 0.94 3.37 .0095 1 0.94 3.44 .0096 2 0.94 3.50 .0097 2 0.94 3.46 .0098 2 0.94 3.50 .0099 2 0.94 3.48 .0100 3 0.94 3.38 .0101 2 0.94 3.39 .0102 1 0.94 3.54 .0103 1 0.94 3.44 .0104 3 0.94 4.14 .0105 3 0.94 3.45 .0106 3 0.95 3.44 .0107 2 0.95 3.68 .0108 1 0.95 3.52 .0109 1 0.95 3.38 .0110 2 0.95 3.61 .0111 2 0.95 3.54 .0112 2 0.95 3.52 .0113 2 0.95 3.53 .0114 2 0.95 3.53 .0115 2 0.95 3.49 .0116 2 0.95 3.72 .0117 1 0.95 3.55 .0118 2 0.95 3.43 .0119 1 0.95 3.85 .0120 2 0.95 3.51 .0121 2 0.95 3.68 .0122 2 0.95 3.55 .0123 1 0.95 3.65 .0124 2 0.95 3.48 .0125 1 0.95 3.96 .0126 1 0.95 3.44 .0127 1 0.95 3.62 .0128 2 0.95 3.64 .0129 2 0.95 3.48 .0130 2 0.95 3.97 .0131 5 0.95 3.90 .0132 4 0.95 3.72 .0133 4 0.95 4.33 .0134 2 0.95 3.71 .0135 2 0.95 3.68 .0136 2 0.95 3.64 .0137 1 0.95 3.65 .0138 2 0.95 3.62 .0139 3 0.95 3.64 .0140 2 0.95 3.62 .0141 1 0.95 3.77 .0142 1 0.95 3.42 .0143 1 0.95 3.58 .0144 2 0.95 3.54 .0145 1 0.95 3.46 .0146 2 0.95 3.73 .0147 2 0.95 3.42 .0148 2 0.95 3.67 .0149 1 0.95 3.54 .0150 1 0.95 3.46 .0151 1 0.95 3.54 .0152 1 0.95 3.53 .0153 1 0.95 3.59 .0154 1 0.95 3.51 .0155 2 0.95 3.51 .0156 1 0.95 3.38 .0157 2 0.95 3.42 .0158 2 0.95 3.58 .0159 2 0.95 3.68 .0160 1 0.95 3.43 .0161 1 0.95 3.36 .0162 1 0.95 3.24 .0163 1 0.95 3.42 .0164 2 0.95 3.66 .0165 2 0.95 3.25 .0166 1 0.95 3.33 .0167 3 0.95 3.43 .0168 2 0.95 3.71 .0169 1 0.95 3.46 .0170 2 0.96 3.63 .0171 2 0.96 3.66 .0172 3 0.96 3.28 .0173 1 0.96 3.44 .0174 1 0.96 3.43 .0175 1 0.96 3.49 .0176 1 0.96 3.42 .0177 1 0.96 3.42 .0178 2 0.96 3.47 .0179 2 0.96 3.71 .0180 1 0.96 3.59 .0181 2 0.96 3.43 .0182 2 0.96 3.50 .0183 1 0.96 3.48 .0184 1 0.96 3.33 .0185 3 0.96 3.55 .0186 3 0.96 3.71 .0187 2 0.96 3.90 .0188 2 0.96 3.52 .0189 3 0.96 3.40 .0190 3 0.96 3.60 .0191 2 0.96 3.81 .0192 1 0.96 3.64 .0193 1 0.96 3.58 .0194 1 0.96 3.49 .0195 1 0.96 3.53 .0196 2 0.96 3.66 .0197 2 0.96 4.11 .0198 3 0.96 3.54 .0199 2 0.96 3.76 .0200 1 0.96 4.04 .0201 4 0.96 3.96 .0202 4 0.96 3.70 .0203 2 0.96 3.59 .0204 2 0.96 3.68 .0205 1 0.96 3.61 .0206 1 0.96 3.61 .0207 1 0.96 3.64 .0208 1 0.96 3.56 .0209 2 0.96 3.54 .0210 1 0.96 3.38 .0211 1 0.96 3.91 .0212 3 0.96 3.94 .0213 2 0.96 3.77 .0214 1 0.96 3.68 .0215 1 0.96 3.48 .0216 1 0.96 3.48 .0217 4 0.96 3.58 .0218 4 0.96 4.13 .0219 2 0.96 3.69 .0220 1 0.96 3.59 .0221 1 0.96 3.66 .0222 2 0.96 3.51 .0223 3 0.96 3.56 .0224 2 0.96 3.81 .0225 1 0.96 3.72 .0226 2 0.96 3.71 .0227 1 0.96 3.78 .0228 1 0.96 3.77 .0229 2 0.96 3.84 .0230 3 0.96 3.80 .0231 2 0.96 3.77 .0232 2 0.96 3.95 .0233 3 0.96 3.88 .0234 2 0.96 3.78 .0235 3 0.96 3.78 .0236 1 0.96 3.92 .0237 3 0.96 3.87 .0238 1 0.96 3.91 .0239 2 0.96 4.27 .0240 2 0.96 4.19 .0241 2 0.96 3.88 .0242 3 0.96 4.06 .0243 1 0.96 3.95 .0244 1 0.96 3.99 .0245 1 0.96 4.08 .0246 1 0.96 3.96 .0247 1 0.96 4.38 .0248 2 0.96 4.15 .0249 1 0.96 4.10 .0250 1 0.96 4.17 .0251 1 0.96 4.29 .0252 1 0.96 4.37 .0253 2 0.96 4.47 .0254 2 0.96 4.30 .0255 2 0.96 4.47 .0256 1 0.96 4.47 .0257 1 0.96 4.80 .0258 1 0.96 5.07 .0259 2 0.97 4.70 .0260 2 0.97 4.78 .0261 2 0.97 4.93 .0262 3 0.97 5.15 .0263 2 0.97 5.31 .0264 2 0.97 5.06 .0265 2 0.97 4.80 .0266 2 0.97 4.89 .0267 2 0.97 4.98 .0268 2 0.97 4.98 .0269 2 0.97 5.18 .0270 3 0.97 5.05 .0271 2 0.97 5.41 .0272 1 0.97 5.06 .0273 1 0.97 4.96 .0274 1 0.97 4.98 .0275 1 0.97 5.06 .0276 1 0.97 5.29 .0277 2 0.97 6.00 .0278 4 0.97 5.59 .0279 3 0.97 5.22 .0280 3 0.97 5.18 .0281 3 0.97 5.10 .0282 1 0.97 5.10 .0283 2 0.97 5.27 .0284 2 0.97 5.20 .0285 3 0.97 5.26 .0286 2 0.97 5.23 .0287 1 0.97 5.26 .0288 1 0.97 5.37 .0289 1 0.97 5.47 .0290 1 0.97 5.37 .0291 1 0.97 5.10 .0292 1 0.97 5.46 .0293 1 0.97 5.25 .0294 1 0.97 5.65 .0295 2 0.97 5.37 .0296 1 0.97 5.40 .0297 2 0.97 5.32 .0298 1 0.97 5.55 .0299 2 0.97 5.38 .0300 3 0.97 5.68 .0301 2 0.97 5.81 .0302 2 0.97 5.69 .0303 1 0.97 5.33 .0304 1 0.97 5.57 .0305 1 0.97 5.88 .0306 1 0.97 5.73 .0307 1 0.97 5.53 .0308 1 0.97 6.03 .0309 2 0.97 6.21 .0310 3 0.97 5.44 .0311 1 0.97 5.68 .0312 1 0.97 5.51 .0313 1 0.97 5.56 .0314 2 0.97 5.57 .0315 2 0.97 5.98 .0316 1 0.97 5.87 .0317 1 0.97 5.63 .0318 2 0.97 5.80 .0319 1 0.97 6.53 .0320 4 0.97 5.44 .0321 2 0.97 5.51 .0322 2 0.97 5.99 .0323 2 0.97 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2 0.99 2.31 .1751 3 0.99 2.36 .1752 2 0.99 2.37 .1753 2 0.99 2.42 .1754 3 0.99 2.34 .1755 3 0.99 2.20 .1756 2 0.99 2.22 .1757 3 0.99 2.23 .1758 6 0.99 2.33 .1759 3 0.99 2.45 .1760 4 0.99 2.09 .1761 3 0.99 2.24 .1762 3 0.99 2.11 .1763 3 0.99 2.16 .1764 4 0.99 2.23 .1765 2 0.99 2.23 .1766 4 0.99 2.12 .1767 2 0.99 2.40 .1768 3 0.99 2.35 .1769 4 0.99 2.35 .1770 3 0.99 2.27 .1771 2 0.99 2.38 .1772 3 0.99 2.42 .1773 1 0.99 2.30 .1774 1 0.99 2.22 .1775 1 0.99 2.36 .1776 2 0.99 2.34 .1777 3 0.99 2.40 .1778 3 0.99 2.58 .1779 3 0.99 2.59 .1780 2 0.99 2.44 .1781 3 0.99 2.56 .1782 4 0.99 2.54 .1783 2 0.99 2.63 .1784 3 0.99 2.56 .1785 4 0.99 2.31 .1786 2 0.99 2.35 .1787 3 0.99 2.51 .1788 3 0.99 2.48 .1789 2 0.99 2.46 .1790 1 0.99 2.48 .1791 3 0.99 2.49 .1792 5 0.99 2.46 .1793 1 0.99 2.62 .1794 1 0.99 2.42 .1795 3 0.99 2.60 .1796 3 0.99 2.53 .1797 2 0.99 2.51 .1798 2 0.99 2.61 .1799 3 0.99 2.46 .1800 3 0.99 2.66 .1801 3 0.99 2.60 .1802 1 0.99 2.60 .1803 1 0.99 2.44 .1804 2 0.99 2.54 .1805 2 0.99 2.65 .1806 3 0.99 2.53 .1807 3 0.99 2.54 .1808 3 0.99 2.61 .1809 1 0.99 2.67 .1810 3 0.99 2.64 .1811 2 0.99 2.54 .1812 2 0.99 2.60 .1813 1 0.99 2.72 .1814 2 0.99 2.77 .1815 3 0.99 2.65 .1816 2 0.99 2.60 .1817 4 0.99 2.75 .1818 1 0.99 2.65 .1819 1 0.99 2.71 .1820 3 0.99 2.64 .1821 2 0.99 2.68 .1822 2 0.99 2.75 .1823 3 0.99 2.62 .1824 2 0.99 2.76 .1825 3 0.99 2.74 .1826 2 0.99 2.73 .1827 2 0.99 3.00 .1828 4 0.99 2.94 .1829 1 0.99 2.87 .1830 2 0.99 2.79 .1831 3 0.99 2.81 .1832 3 0.99 2.83 .1833 3 0.99 2.78 .1834 1 0.99 2.78 .1835 1 0.99 2.71 .1836 2 0.99 2.88 .1837 2 0.99 2.96 .1838 2 0.99 2.71 .1839 2 0.99 2.72 .1840 2 0.99 2.81 .1841 5 0.99 2.79 .1842 3 0.99 2.81 .1843 4 0.99 2.87 .1844 3 0.99 2.64 .1845 2 0.99 2.62 .1846 2 0.99 2.77 .1847 1 0.99 2.74 .1848 3 0.99 2.80 .1849 3 0.99 2.65 .1850 2 0.99 2.76 .1851 2 0.99 2.76 .1852 1 0.99 2.57 .1853 3 0.99 2.63 .1854 2 0.99 2.63 .1855 2 0.99 2.60 .1856 2 0.99 2.61 .1857 1 0.99 2.57 .1858 4 0.99 2.65 .1859 5 0.99 2.38 .1860 1 0.99 2.54 .1861 3 0.99 2.48 .1862 2 0.99 2.39 .1863 4 0.99 2.61 .1864 2 0.99 2.80 .1865 4 0.99 2.49 .1866 1 0.99 2.63 .1867 2 0.99 2.51 .1868 2 0.99 2.58 .1869 2 0.99 2.47 .1870 3 0.99 2.51 .1871 2 0.99 2.40 .1872 2 0.99 2.39 .1873 2 0.99 2.36 .1874 5 0.99 2.23 .1875 2 0.99 2.42 .1876 3 0.99 2.29 .1877 2 0.99 2.27 .1878 2 0.99 2.04 .1879 3 0.99 1.93 .1880 2 0.99 2.18 .1881 2 0.99 2.09 .1882 2 0.99 1.95 .1883 3 0.99 1.87 .1884 1 0.99 1.86 .1885 1 0.99 1.86 .1886 1 0.99 1.97 .1887 3 0.99 2.06 .1888 3 0.99 1.78 .1889 2 0.99 1.94 .1890 2 0.99 1.88 .1891 1 0.99 1.85 .1892 4 0.99 1.87 .1893 1 0.99 1.90 .1894 2 0.99 1.88 .1895 1 0.99 1.93 .1896 1 0.99 1.95 .1897 1 0.99 2.08 .1898 2 0.99 2.00 .1899 3 0.99 2.21 .1900 2 0.99 2.02 .1901 2 0.99 2.19 .1902 1 0.99 2.19 .1903 2 0.99 2.29 .1904 2 0.99 2.16 .1905 3 0.99 2.33 .1906 3 0.99 2.29 .1907 1 0.99 2.27 .1908 3 0.99 2.25 .1909 2 0.99 2.38 .1910 2 0.99 2.38 .1911 2 0.99 2.18 .1912 3 0.99 2.16 .1913 3 0.99 2.18 .1914 4 0.99 2.12 .1915 3 0.99 2.13 .1916 2 0.99 2.00 .1917 4 0.99 2.07 .1918 2 0.99 2.08 .1919 1 0.99 2.08 .1920 3 0.99 2.24 .1921 5 0.99 2.12 .1922 3 0.99 2.11 .1923 1 0.99 2.14 .1924 2 0.99 1.94 .1925 2 0.99 2.03 .1926 2 0.99 2.10 .1927 2 0.99 2.11 .1928 1 0.99 2.11 .1929 3 0.99 2.12 .1930 4 0.99 2.39 .1931 5 0.99 2.19 .1932 2 0.99 2.23 .1933 1 0.99 2.27 .1934 3 0.99 2.09 .1935 2 0.99 2.15 .1936 3 0.99 2.19 .1937 3 0.99 2.22 .1938 3 0.99 2.28 .1939 2 0.99 2.16 .1940 3 0.99 2.13 .1941 2 0.99 2.17 .1942 1 0.99 2.07 .1943 1 0.99 2.15 .1944 3 0.99 2.17 .1945 3 0.99 2.36 .1946 4 0.99 2.07 .1947 3 0.99 2.15 .1948 3 0.99 2.30 .1949 6 0.99 2.11 .1950 3 0.99 2.08 .1951 2 0.99 2.15 .1952 2 0.99 2.16 .1953 2 0.99 2.12 .1954 2 0.99 2.02 .1955 3 0.99 2.05 .1956 3 0.99 2.18 .1957 2 0.99 1.99 .1958 4 0.99 1.99 .1959 2 0.99 2.05 .1960 3 0.99 1.95 .1961 3 0.99 1.89 .1962 5 0.99 2.08 .1963 4 0.99 1.94 .1964 2 0.99 1.91 .1965 1 0.99 1.89 .1966 5 0.99 1.89 .1967 4 0.99 1.85 .1968 3 0.99 1.83 .1969 2 0.99 1.81 .1970 2 0.99 1.74 .1971 1 0.99 1.91 .1972 2 0.99 1.83 .1973 1 0.99 1.79 .1974 2 0.99 1.88 .1975 1 0.99 1.84 .1976 1 0.99 1.89 .1977 1 0.99 1.88 .1978 3 0.99 1.98 .1979 3 0.99 2.00 .1980 2 0.99 2.10 .1981 1 0.99 2.05 .1982 1 0.99 2.07 .1983 1 0.99 2.01 .1984 2 0.99 2.16 .1985 1 0.99 2.17 .1986 1 0.99 2.08 .1987 3 0.99 2.15 .1988 1 0.99 2.26 .1989 2 0.99 2.31 .1990 3 0.99 2.18 .1991 4 0.99 2.30 .1992 3 0.99 2.20 .1993 2 0.99 2.36 .1994 1 0.99 2.39 .1995 1 0.99 2.39 .1996 2 0.99 2.44 .1997 2 0.99 2.41 .1998 2 0.99 2.59 .1999 1 0.99 2.52 .2000 1 1.00 2.40 .2001 1 1.00 2.42 .2002 4 1.00 2.40 .2003 4 1.00 2.30 .2004 4 1.00 2.54 .2005 3 1.00 2.31 .2006 3 1.00 2.25 .2007 2 1.00 2.30 .2008 2 1.00 2.11 .2009 3 1.00 2.14 .2010 3 1.00 1.98 .2011 3 1.00 2.07 .2012 2 1.00 2.08 .2013 3 1.00 2.05 .2014 3 1.00 1.81 .2015 3 1.00 1.87 .2016 5 1.00 1.83 .2017 1 1.00 1.95 .2018 3 1.00 1.83 .2019 1 1.00 1.79 .2020 1 1.00 1.72 .2021 3 1.00 1.83 .2022 3 1.00 1.74 .2023 3 1.00 1.77 .2024 2 1.00 1.58 .2025 4 1.00 1.64 .2026 3 1.00 1.81 .2027 2 1.00 1.82 .2028 2 1.00 1.64 .2029 1 1.00 1.71 .2030 2 1.00 1.83 .2031 3 1.00 1.70 .2032 4 1.00 1.78 .2033 3 1.00 1.92 .2034 3 1.00 1.98 .2035 3 1.00 1.96 .2036 4 1.00 1.84 .2037 4 1.00 1.89 .2038 3 1.00 1.84 .2039 4 1.00 1.97 .2040 3 1.00 2.06 .2041 4 1.00 2.02 .2042 3 1.00 2.11 .2043 3 1.00 1.93 .2044 2 1.00 2.03 .2045 1 1.00 2.02 .2046 1 1.00 2.05 .2047 3 1.00 2.07 EXTRACT_IMAGE: sdR-b1-00034755.fit: masked 3561 pixels DIVIDEFLAT: sdR-b1-00034755.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-b1-00034755.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-b1-00034755.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-b1-00034755.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-b1-00034755.fit: Warning: Reject 420 low points in trace 279 DIVIDEFLAT: sdR-b1-00034755.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-b1-00034755.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-b1-00034755.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034755.fit: sky shift reference line, offset: 5577.3390 -0.046056688 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 8 1.2895553 -41.065720 -1.0000000 2.0000000 64.369984 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 17 0.52773882 -13.061855 -0.11764775 0.72686123 85.778958 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 28 0.52506657 37.237304 0.72344872 2.0000000 35.232860 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 32 1.3473078 21.876386 -0.088811879 1.4028555 0.0000000 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 43 0.83830019 29.033570 -0.61731537 0.88204629 56.317894 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 44 0.51510929 34.173497 -0.84067244 1.3694455 65.162668 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 70 2.1182812 58.429749 -1.0000000 0.72774283 47.870381 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 78 1.4382517 44.611422 -0.41862136 0.83925316 47.155815 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 89 0.63985078 88.587344 -0.89778578 0.60000000 26.695509 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 95 1.2395905 35.829032 -1.0000000 2.0000000 32.596345 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 101 2.3131829 74.035923 -0.82243538 2.0000000 45.253437 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 123 1.7117985 87.492366 -1.0000000 0.86136599 44.629012 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 124 0.98644483 54.332195 -0.64955417 0.60356899 71.987968 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 126 1.2483966 45.996662 -0.76424473 0.60000000 77.282256 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 134 0.54547835 42.539951 -0.42598057 0.70886362 43.079369 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 156 0.39180005 84.642433 -0.85311991 2.0000000 34.274152 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 203 1.1027162 41.723402 0.034963619 2.0000000 46.925631 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 216 0.21411356 49.303752 -0.98380987 1.0661190 48.890704 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 218 2.0607137 63.585242 -0.23941809 1.1786918 0.0000000 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 245 2.0026932 51.983976 -1.0000000 2.0000000 50.545610 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 255 2.6097431 61.183500 -0.57895767 0.60000000 48.713488 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 262 1.0177381 49.177675 -0.24161982 0.60000000 35.284231 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 267 0.43628358 27.281196 -0.45233895 0.60000000 42.408562 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 273 0.35540638 -4.0290011 -1.0000000 1.5315797 36.899138 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 283 0.43904427 40.908598 -0.80511792 0.60000000 36.156568 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 289 2.6433887 28.991621 1.0000000 0.60000000 24.868027 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 311 2.8419950 61.242674 -0.37240533 0.60000000 52.795834 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 314 1.6176161 40.773600 -0.92830528 0.61174224 87.401974 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 0 317 2.2360074 51.946847 -1.0000000 1.4172228 24.062266 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: comb1 l,chi^2/dof,fit: 0 0.17843973 0.0020467902 -0.68567974 0.91205126 0.88467379 LOCATESKYLINES_2: sdR-b1-00034755.fit: kept 72 of 72 points LOCATESKYLINES_2: sdR-b1-00034755.fit: offset, refoff, sigma: -0.731736-0.6856800.128088 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 8 0.91520463 -59.142258 0.45158345 0.74931610 133.01504 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 17 2.2358968 -59.999840 -0.23631030 1.0564286 156.04629 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 28 0.26257806 10.078457 -0.26712631 1.1243798 139.17822 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 32 1.1790109 -41.260447 -0.037570188 1.4084826 122.93276 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 43 0.67272210 -27.515534 -0.30306878 1.3969420 155.84884 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 44 1.1552819 36.744065 -0.029159572 1.1777949 173.71438 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 70 0.70211926 88.055781 -0.097776071 0.88503580 133.75131 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 78 2.2584353 55.931368 -0.16168954 1.0458488 152.85736 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 89 0.84832025 77.398802 -0.12709878 1.4163350 138.14492 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 95 1.0693390 58.513174 -0.16909742 1.3461558 137.30866 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 101 0.90489048 113.71661 -0.34228521 1.1176629 150.67835 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 123 0.19788791 111.38404 -0.029032127 1.2735330 155.52320 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 124 0.98441163 114.58950 -0.28794318 0.63963200 134.64655 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 126 0.54774682 78.838506 -0.23448814 1.1372154 181.31531 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 134 1.0518092 70.268852 0.029628714 1.2497483 179.02659 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 156 1.0995930 122.21627 -0.23437447 1.5801859 130.06351 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 203 1.2651515 89.266988 0.035438318 1.0898310 109.65379 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 216 2.6882397 72.568945 -0.085486710 1.5195759 143.86300 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 218 2.1351432 101.83436 0.59527614 0.60000000 169.70461 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 245 0.99490340 72.851675 0.023488819 1.4158669 168.64645 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 255 1.0493042 93.357086 -0.18296166 1.0706351 179.19935 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 262 0.92758596 47.095036 0.27786973 1.0767263 173.16751 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 267 0.34910027 0.78990978 -0.17408203 1.5193478 176.00208 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 273 1.6685936 11.076641 -0.17853977 0.94057156 111.87920 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 283 0.38261751 30.504392 0.12694143 0.90603348 155.98101 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 289 0.67007547 50.157414 -0.27549299 1.2160153 154.44963 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 311 0.91670480 66.192819 0.054241682 1.5856861 164.56266 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 314 0.68117110 96.614683 0.085631241 0.99719097 139.98254 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 1 317 0.87613039 108.11878 0.033373773 1.1525507 121.59332 LOCATESKYLINES_2: sdR-b1-00034755.fit: comb1 l,chi^2/dof,fit: 1 0.92669012 0.013133065 -0.10113501 1.1952554 0.96244733 LOCATESKYLINES_2: sdR-b1-00034755.fit: kept 252 of 252 points LOCATESKYLINES_2: sdR-b1-00034755.fit: offset, refoff, sigma: -0.147192-0.1011350.035732 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 8 -0.25000000 -283.80725 0.0000000 1.0000000 -22.341320 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 17 -0.25000000 -432.21362 0.0000000 1.0000000 -177.54771 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 28 2.9197345 -264.25761 -0.25983817 1.8754104 228.61892 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -258.50159 0.0000000 1.0000000 -51.425137 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 43 0.72506813 -150.47869 -0.046958084 1.1243232 237.53980 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 44 0.51055020 -71.208587 -0.080606622 1.1151999 199.17315 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 70 0.62533407 81.272057 -0.10113477 1.4247270 177.74970 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 78 0.91594193 91.275288 0.17884073 0.96790229 200.06331 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 89 0.50866334 69.602561 0.097180390 0.71813632 231.90372 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 95 0.63173518 56.971826 -0.036070764 1.0759858 221.35653 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 101 0.32989893 120.58184 -0.17176736 1.3497186 212.16123 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 123 2.4391716 163.51937 -0.057948411 0.92666472 251.19017 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 124 0.98002017 104.38235 0.11455785 1.0195769 219.87624 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 126 1.7862616 102.77084 0.096954072 0.96518287 221.94353 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 134 0.81421978 40.799956 0.078545670 1.5481977 205.77209 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 156 0.92504637 169.10897 -0.044444876 1.4571755 190.80697 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 203 0.84771040 109.40215 0.030524223 1.1247720 224.77599 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 216 1.5854420 93.755441 -0.18145273 0.95376841 217.94700 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 218 0.94408482 70.572728 0.14068454 1.2748934 242.01571 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 245 0.98515233 106.32515 -0.20155317 1.5374288 211.92455 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 255 0.18185326 161.55745 0.11445595 0.93072453 209.13113 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 262 0.97921494 106.19268 -0.092203051 1.0267613 263.67218 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 267 1.9887507 69.915427 -0.048400813 1.2984079 210.59752 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 273 0.40220826 42.079569 -0.0045725076 0.68101884 235.54867 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 283 0.29764032 45.488669 0.097269819 1.4468764 176.25448 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 289 0.75875339 40.086749 0.015975351 1.2199909 202.70791 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 311 1.3409874 145.13828 0.29928280 1.1126163 208.14380 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 314 1.2036368 172.56019 0.27372924 0.90090175 191.19199 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 2 317 0.91437568 124.07841 -0.047009720 1.2631470 210.18026 LOCATESKYLINES_2: sdR-b1-00034755.fit: comb1 l,chi^2/dof,fit: 2 1.0517556 0.020373720 0.018245617 1.1082886 0.96604974 LOCATESKYLINES_2: sdR-b1-00034755.fit: sigma-clipped to 233 of 234 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034755.fit: comb2 l,chi^2/dof,fit: 2 0.98594558 0.018430727 0.022367192 1.1038137 0.97023199 LOCATESKYLINES_2: sdR-b1-00034755.fit: kept 233 of 234 points LOCATESKYLINES_2: sdR-b1-00034755.fit: offset, refoff, sigma: -0.0236890.0223670.029342 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 8 2.3511516 -312.16409 -0.0067738791 0.95847611 2310.3940 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 17 3.0968317 -399.15434 -0.048630768 0.98733387 2217.0705 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 28 2.0045097 -282.76805 -0.037892479 0.94539390 2362.7486 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 32 1.4010347 -292.43596 -0.042091391 0.96664630 2240.5458 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 43 1.3003493 -168.95407 -0.051369120 0.99858368 2183.9476 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 44 1.1379094 -132.01826 -0.053845771 0.95670647 2369.4200 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 70 1.7072825 58.364038 -0.029066583 0.95040905 2372.1159 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 78 5.9503321 78.608788 -0.036252184 0.96072249 2222.4063 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 89 1.5685730 51.914713 -0.014345996 0.95712403 2327.4758 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 95 0.98423180 51.625326 -0.011615573 0.92514259 2417.4673 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 101 2.3823694 112.68490 -0.031722836 0.92144961 2449.8577 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 123 2.9586486 127.08095 0.021625306 0.93499886 2457.9802 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 124 6.6622541 86.059094 -0.012862336 0.95454819 2293.3323 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 126 1.6552816 112.96494 -0.0075081401 0.95020552 2314.9895 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 134 4.0925403 132.33758 0.023254358 0.90628328 2397.8707 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 156 0.45159098 158.96525 0.0082419468 0.90689421 2395.4459 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 203 1.3279034 64.315203 0.0088277045 0.94410062 2375.4393 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 216 4.4117980 61.042393 -0.0087844742 0.95481532 2298.3946 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 218 1.7709651 61.095796 -0.0095862707 0.93842485 2301.4672 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 245 2.6129258 116.95932 0.029900495 0.96544210 2249.9719 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 255 2.7511285 107.40814 -0.012354486 0.97678248 2374.0296 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 262 3.8827020 99.624724 0.0032570041 0.95433693 2258.6645 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 267 7.0552391 36.124347 -0.017573156 0.98305778 2274.3464 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 273 0.21490303 25.907129 0.012466084 0.95387945 2314.2619 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 283 3.6679988 50.226928 0.021663897 0.90304238 2377.1238 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 289 4.2548515 37.190196 0.010397254 0.92979569 2446.7252 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 311 2.0426483 119.62399 0.019129121 0.97975748 2242.6735 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 314 2.2249900 128.84967 -0.0041823880 0.97794146 2330.8261 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 3 317 0.86092800 119.83975 0.028664689 0.96724176 2377.4687 LOCATESKYLINES_2: sdR-b1-00034755.fit: comb1 l,chi^2/dof,fit: 3 2.0009392 5.6799507e-05 -0.0073405817 0.94909657 0.99949995 LOCATESKYLINES_2: sdR-b1-00034755.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034755.fit: comb2 l,chi^2/dof,fit: 3 1.9347037 0.00029608651 -0.0069326373 0.94941629 0.99897184 LOCATESKYLINES_2: sdR-b1-00034755.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-b1-00034755.fit: offset, refoff, sigma: -0.052989-0.0069330.003648 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 8 6.8767363 -180.93050 -0.070971270 0.97640285 515.62588 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 17 8.3847342 -270.93867 -0.016484560 0.87346936 559.91976 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 28 16.541731 -172.92625 -0.0091257654 0.85912622 552.88598 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 32 11.675968 -200.99701 0.071430610 0.99361699 559.10567 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 43 15.662399 -76.732383 0.089681458 0.94496029 470.81979 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 44 20.010438 -46.913408 0.060601797 0.82809604 548.69851 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 70 8.9968102 83.037479 -0.012998522 0.90540685 599.10169 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 78 24.743959 84.841319 0.095752466 0.83482619 582.75725 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 89 14.381952 64.390443 0.0063255757 0.89887304 614.43758 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 95 25.342642 127.27088 0.052906447 0.73248357 587.40967 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 101 36.201884 159.88777 0.046117552 0.79724820 587.78861 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 123 17.495121 129.64109 0.059708164 0.81945888 623.18948 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 124 11.798271 96.716036 0.092173747 0.93207986 502.82066 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 126 12.796000 107.61881 0.013686110 0.84039897 568.31163 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 134 19.600143 59.291426 0.040990656 0.82626070 606.82346 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 156 28.009782 184.32940 0.069926150 0.83731021 572.15933 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 203 11.047227 76.850637 0.13088922 0.93230933 529.41130 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 216 30.997015 121.80505 0.11734289 0.79029307 562.51635 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 218 28.936695 124.57699 0.097739252 0.79562134 517.65948 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 245 30.770243 121.04411 0.057769467 0.87811650 558.76049 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 255 28.266381 132.20538 0.048673363 0.92490964 493.56067 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 262 12.534101 72.778164 0.14411570 0.97123087 551.40205 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 267 22.595443 91.514902 0.034837618 0.86936564 501.58065 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 273 10.069881 50.981733 0.0032118322 0.96394686 523.56157 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 283 5.0791690 63.455993 0.15091662 0.94972487 547.67511 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 289 20.124090 114.45979 0.13052056 0.68204882 609.78179 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 311 14.188035 112.32876 0.046346064 0.88231854 563.49816 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 314 22.128698 123.22087 0.045467996 0.87722790 593.19494 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 4 317 25.647085 179.84680 0.11446335 0.74434839 555.12444 LOCATESKYLINES_2: sdR-b1-00034755.fit: comb1 l,chi^2/dof,fit: 4 11.044928 0.0013891346 0.062187724 0.85740802 0.99377261 LOCATESKYLINES_2: sdR-b1-00034755.fit: sigma-clipped to 229 of 261 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034755.fit: comb2 l,chi^2/dof,fit: 4 2.1038044 -0.072818627 0.061687955 0.94773390 1.0472338 LOCATESKYLINES_2: sdR-b1-00034755.fit: kept 229 of 261 points LOCATESKYLINES_2: sdR-b1-00034755.fit: offset, refoff, sigma: 0.0156310.0616880.009626 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 8 30.410048 -96.264497 -0.18754579 0.60000000 285.67278 LOCATESKYLINES_2: sdR-b1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 17 21.151653 -223.16354 -0.063353992 0.79989679 293.31067 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 28 17.217220 -147.49456 0.030049464 0.86937447 296.93250 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 32 22.519104 -144.41599 0.087870551 0.73749054 246.86738 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 43 12.559199 -68.147198 -0.066640058 0.76120876 334.25992 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 44 22.394331 -59.199381 0.10669903 0.89091787 322.98622 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 70 56.691683 120.35043 0.036172485 0.74868209 263.76429 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 78 15.990158 56.970770 0.022917678 0.78085639 383.22420 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 89 42.133722 100.70902 -0.065604472 0.79343574 360.58145 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 95 54.720760 109.70149 0.045467541 0.62264903 366.81414 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 101 70.158150 168.43559 0.0076753253 0.65444942 333.92550 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 123 27.404333 114.37152 0.21418096 0.76411358 296.63823 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 124 24.914055 91.705049 0.070178168 0.72011708 309.13047 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 126 25.621184 99.616643 0.076591313 0.74685570 327.32608 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 134 25.493458 50.953598 -0.0051998568 0.75291085 421.97141 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 156 32.078200 167.59027 0.040564963 0.75721048 410.29488 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 203 33.465674 106.14870 -0.045148398 0.81174325 309.24516 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 216 50.099886 122.73040 0.063073062 0.63856620 350.04312 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 218 45.991861 130.03572 0.20498679 0.66613952 302.61484 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 245 19.459930 96.455934 0.17999186 0.76831190 379.88216 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 255 31.072662 124.64170 0.26153327 0.86002896 320.06980 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 262 23.916958 128.47140 0.092965960 0.70370292 302.96483 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 267 15.128516 52.584854 0.17064663 0.92373441 340.39769 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 273 41.962770 94.884154 0.030731233 0.79106971 299.17118 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 283 32.033460 102.84756 -0.11509080 0.75093323 302.20140 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 289 9.2745452 92.668456 0.029200927 0.66071212 398.42370 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 311 27.941056 132.08741 0.022379576 0.74490689 376.05515 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 314 20.448910 121.68318 0.096428330 0.67998467 402.35811 LOCATESKYLINES_2: sdR-b1-00034755.fit: l,f,chi^2/dof,c: 5 317 44.453483 167.14187 0.078729205 0.69615647 331.02998 LOCATESKYLINES_2: sdR-b1-00034755.fit: trimmed 1high points: 1.2083935 LOCATESKYLINES_2: sdR-b1-00034755.fit: comb1 l,chi^2/dof,fit: 5 16.910851 -0.0091068602 0.063907483 0.80000000 0.96469919 LOCATESKYLINES_2: sdR-b1-00034755.fit: sigma-clipped to 217 of 251 points; iterating fit LOCATESKYLINES_2: sdR-b1-00034755.fit: comb2 l,chi^2/dof,fit: 5 1.7247739 -0.14009485 0.066868175 0.89750763 1.0921161 LOCATESKYLINES_2: sdR-b1-00034755.fit: kept 217 of 251 points LOCATESKYLINES_2: sdR-b1-00034755.fit: offset, refoff, sigma: 0.0208110.0668680.013800 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 7002.9719 DOF = 1542 P(0) = 25.2693 P(1) = 0.00000 P(2) = 25.2693 P(3) = 25.2693 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 3602.7172 DOF = 1542 P(0) = 52.8096 P(1) = -2.35432E-05 P(2) = 66.1501 P(3) = 38.3990 P(4) = 0.000130000 P(5) = 0.211261 Iter 3 CHI-SQUARE = 3602.2042 DOF = 1542 P(0) = 52.8880 P(1) = -2.25232E-05 P(2) = 67.9161 P(3) = 37.4008 P(4) = 0.000130000 P(5) = 0.219299 Iter 4 CHI-SQUARE = 3602.1853 DOF = 1542 P(0) = 52.7291 P(1) = -2.13668E-05 P(2) = 67.7739 P(3) = 37.3346 P(4) = 0.000130000 P(5) = 0.210965 Iter 5 CHI-SQUARE = 3602.1745 DOF = 1542 P(0) = 52.7546 P(1) = -2.10004E-05 P(2) = 67.7495 P(3) = 37.3794 P(4) = 0.000130000 P(5) = 0.215571 Iter 6 CHI-SQUARE = 3602.1244 DOF = 1542 P(0) = 52.8101 P(1) = -2.10567E-05 P(2) = 67.8087 P(3) = 37.4160 P(4) = 0.000130000 P(5) = 0.213341 Iter 7 CHI-SQUARE = 3602.1095 DOF = 1542 P(0) = 52.8636 P(1) = -2.10492E-05 P(2) = 67.8455 P(3) = 37.3816 P(4) = 0.000130000 P(5) = 0.211259 Iter 8 CHI-SQUARE = 3602.1095 DOF = 1542 P(0) = 52.8652 P(1) = -2.10612E-05 P(2) = 67.8482 P(3) = 37.3822 P(4) = 0.000130000 P(5) = 0.211394 Iter 9 CHI-SQUARE = 3602.1094 DOF = 1542 P(0) = 52.8644 P(1) = -2.10668E-05 P(2) = 67.8480 P(3) = 37.3810 P(4) = 0.000130000 P(5) = 0.211352 Iter 10 CHI-SQUARE = 3602.1093 DOF = 1542 P(0) = 52.8636 P(1) = -2.10730E-05 P(2) = 67.8478 P(3) = 37.3799 P(4) = 0.000130000 P(5) = 0.211333 Iter 11 CHI-SQUARE = 3602.1093 DOF = 1542 P(0) = 52.8644 P(1) = -2.10787E-05 P(2) = 67.8494 P(3) = 37.3802 P(4) = 0.000130000 P(5) = 0.211296 Iter 12 CHI-SQUARE = 3602.1093 DOF = 1542 P(0) = 52.8641 P(1) = -2.10784E-05 P(2) = 67.8495 P(3) = 37.3797 P(4) = 0.000130000 P(5) = 0.211268 Iter 13 CHI-SQUARE = 3602.1093 DOF = 1542 P(0) = 52.8640 P(1) = -2.10793E-05 P(2) = 67.8495 P(3) = 37.3796 P(4) = 0.000130000 P(5) = 0.211264 Iter 13 CHI-SQUARE = 3602.1093 DOF = 1542 P(0) = 52.8640 P(1) = -2.10793E-05 P(2) = 67.8495 P(3) = 37.3796 P(4) = 0.000130000 P(5) = 0.211264 FITMOONPLUSLINE: sdR-b1-00034755.fit: fit coeffs: 52.864027 -2.1079345e-05 67.849479 37.379558 0.00013000000 0.21126360 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034755.fit: changing 4046.58 correction from -0.731736 to 0.19075064 pixels, err= 0.081393690 Iter 1 CHI-SQUARE = 25806.348 DOF = 3198 P(0) = 28.4966 P(1) = 0.00000 P(2) = 28.4966 P(3) = 28.4966 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 14876.009 DOF = 3198 P(0) = 64.0661 P(1) = 2.89858E-05 P(2) = 82.1983 P(3) = 132.383 P(4) = 0.000130000 P(5) = 0.145735 Iter 3 CHI-SQUARE = 14838.060 DOF = 3198 P(0) = 63.7527 P(1) = 5.48301E-06 P(2) = 79.9815 P(3) = 133.271 P(4) = 0.000130000 P(5) = 0.161772 Iter 4 CHI-SQUARE = 14835.262 DOF = 3198 P(0) = 63.8895 P(1) = 7.39002E-06 P(2) = 82.1333 P(3) = 132.715 P(4) = 0.000130000 P(5) = 0.136149 Iter 5 CHI-SQUARE = 14834.319 DOF = 3198 P(0) = 64.0350 P(1) = 8.14346E-06 P(2) = 81.9972 P(3) = 132.882 P(4) = 0.000130000 P(5) = 0.145980 Iter 6 CHI-SQUARE = 14834.319 DOF = 3198 P(0) = 64.0352 P(1) = 8.14456E-06 P(2) = 81.9971 P(3) = 132.882 P(4) = 0.000130000 P(5) = 0.145978 Iter 7 CHI-SQUARE = 14834.319 DOF = 3198 P(0) = 64.0352 P(1) = 8.14393E-06 P(2) = 81.9971 P(3) = 132.882 P(4) = 0.000130000 P(5) = 0.145978 Iter 8 CHI-SQUARE = 14834.319 DOF = 3198 P(0) = 64.0353 P(1) = 8.14411E-06 P(2) = 81.9970 P(3) = 132.882 P(4) = 0.000130000 P(5) = 0.145977 Iter 8 CHI-SQUARE = 14834.319 DOF = 3198 P(0) = 64.0353 P(1) = 8.14411E-06 P(2) = 81.9970 P(3) = 132.882 P(4) = 0.000130000 P(5) = 0.145977 FITMOONPLUSLINE: sdR-b1-00034755.fit: fit coeffs: 64.035255 8.1441133e-06 81.997021 132.88242 0.00013000000 0.14597737 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034755.fit: changing 4358.33 correction from -0.147192 to -0.075200043 pixels, err= 0.034918319 Iter 1 CHI-SQUARE = 23985.550 DOF = 1069 P(0) = 25.9849 P(1) = 0.00000 P(2) = 25.9849 P(3) = 25.9849 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 19118.176 DOF = 1069 P(0) = 62.9484 P(1) = 7.14420E-05 P(2) = 224.293 P(3) = 174.005 P(4) = 0.000130000 P(5) = 0.479783 Iter 3 CHI-SQUARE = 19076.083 DOF = 1069 P(0) = 61.1724 P(1) = 6.51852E-05 P(2) = 257.175 P(3) = 160.417 P(4) = 0.000130000 P(5) = 0.400998 Iter 4 CHI-SQUARE = 19038.214 DOF = 1069 P(0) = 63.4056 P(1) = 5.70317E-05 P(2) = 245.747 P(3) = 160.207 P(4) = 0.000130000 P(5) = 0.462779 Iter 5 CHI-SQUARE = 19022.710 DOF = 1069 P(0) = 65.5549 P(1) = 5.15730E-05 P(2) = 214.745 P(3) = 164.382 P(4) = 0.000130000 P(5) = 0.545801 Iter 6 CHI-SQUARE = 18953.989 DOF = 1069 P(0) = 66.1299 P(1) = 3.77026E-05 P(2) = 169.811 P(3) = 170.160 P(4) = 0.000130000 P(5) = 0.533606 Iter 7 CHI-SQUARE = 18862.668 DOF = 1069 P(0) = 59.4557 P(1) = 1.49515E-05 P(2) = 110.301 P(3) = 177.917 P(4) = 0.000130000 P(5) = 0.262092 Iter 8 CHI-SQUARE = 18816.495 DOF = 1069 P(0) = 60.8234 P(1) = 6.19070E-07 P(2) = 154.844 P(3) = 179.009 P(4) = 0.000130000 P(5) = 0.346062 Iter 9 CHI-SQUARE = 18805.424 DOF = 1069 P(0) = 61.4007 P(1) = 6.49823E-07 P(2) = 180.710 P(3) = 177.999 P(4) = 0.000130000 P(5) = 0.432879 Iter 10 CHI-SQUARE = 18802.782 DOF = 1069 P(0) = 61.8232 P(1) = 6.67208E-07 P(2) = 189.824 P(3) = 177.427 P(4) = 0.000130000 P(5) = 0.465007 Iter 11 CHI-SQUARE = 18801.403 DOF = 1069 P(0) = 62.4268 P(1) = 6.80108E-07 P(2) = 197.611 P(3) = 176.431 P(4) = 0.000130000 P(5) = 0.486802 Iter 12 CHI-SQUARE = 18801.319 DOF = 1069 P(0) = 62.5201 P(1) = 6.78809E-07 P(2) = 198.979 P(3) = 176.164 P(4) = 0.000130000 P(5) = 0.490920 Iter 13 CHI-SQUARE = 18801.261 DOF = 1069 P(0) = 62.6688 P(1) = 6.79481E-07 P(2) = 200.069 P(3) = 175.945 P(4) = 0.000130000 P(5) = 0.493355 Iter 14 CHI-SQUARE = 18801.256 DOF = 1069 P(0) = 62.7254 P(1) = 6.79395E-07 P(2) = 200.621 P(3) = 175.792 P(4) = 0.000130000 P(5) = 0.493778 Iter 15 CHI-SQUARE = 18801.255 DOF = 1069 P(0) = 62.7423 P(1) = 6.79716E-07 P(2) = 200.683 P(3) = 175.781 P(4) = 0.000130000 P(5) = 0.493725 Iter 16 CHI-SQUARE = 18801.255 DOF = 1069 P(0) = 62.7340 P(1) = 6.79548E-07 P(2) = 200.702 P(3) = 175.766 P(4) = 0.000130000 P(5) = 0.493634 Iter 17 CHI-SQUARE = 18801.255 DOF = 1069 P(0) = 62.7326 P(1) = 6.79645E-07 P(2) = 200.720 P(3) = 175.762 P(4) = 0.000130000 P(5) = 0.493737 Iter 18 CHI-SQUARE = 18801.255 DOF = 1069 P(0) = 62.7353 P(1) = 6.79853E-07 P(2) = 200.724 P(3) = 175.764 P(4) = 0.000130000 P(5) = 0.493700 Iter 19 CHI-SQUARE = 18801.255 DOF = 1069 P(0) = 62.7326 P(1) = 6.79950E-07 P(2) = 200.725 P(3) = 175.760 P(4) = 0.000130000 P(5) = 0.493682 Iter 19 CHI-SQUARE = 18801.255 DOF = 1069 P(0) = 62.7326 P(1) = 6.79950E-07 P(2) = 200.725 P(3) = 175.760 P(4) = 0.000130000 P(5) = 0.493682 FITMOONPLUSLINE: sdR-b1-00034755.fit: fit coeffs: 62.732574 6.7995007e-07 200.72509 175.75994 0.00013000000 0.49368203 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034755.fit: changing 5460.94 correction from -0.0236895 to -0.0070280897 pixels, err= 0.011219457 LOCATESKYLINES_2: sdR-b1-00034755.fit: applying 0.00 pixel correction to 0.02 0.02 0.63 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 FITMEANX: sdR-b1-00034755.fit: In skyline number 0 std-dev is 0.23506449 pix FITMEANX: sdR-b1-00034755.fit: In skyline number 1 std-dev is 0.10563322 pix FITMEANX: sdR-b1-00034755.fit: In skyline number 2 std-dev is 0.067288566 pix FITMEANX: sdR-b1-00034755.fit: In skyline number 3 std-dev is 0.019572038 pix FITMEANX: sdR-b1-00034755.fit: In skyline number 4 std-dev is 0.050488011 pix FITMEANX: sdR-b1-00034755.fit: In skyline number 5 std-dev is 0.072311108 pix LOCATESKYLINES_2: sdR-b1-00034755.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034755.fit: In sky feature at 4046.5600 coadded std-dev is 0.0813937 pix LOCATESKYLINES_2: sdR-b1-00034755.fit: In sky feature at 4358.3300 coadded std-dev is 0.0349183 pix LOCATESKYLINES_2: sdR-b1-00034755.fit: In sky feature at 5460.9400 coadded std-dev is 0.0112195 pix LOCATESKYLINES_2: sdR-b1-00034755.fit: In sky feature at 5577.3390 coadded std-dev is 0.00364750 pix LOCATESKYLINES_2: sdR-b1-00034755.fit: In sky feature at 5889.9500 coadded std-dev is 0.00962568 pix LOCATESKYLINES_2: sdR-b1-00034755.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b1-00034755.fit: Median arc shift = -0.031606614 pix LOCATESKYLINES_2: sdR-b1-00034755.fit: Dispersion in arc shift = 0.025957841 pix LOCATESKYLINES_2: sdR-b1-00034755.fit: Maximum sky-line shift is 0.072561836 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Number of sky fibers = 19 ROW NITER SIG(med) CHI^2 .0000 7 0.91 0.54 .0001 2 0.91 0.63 .0002 3 0.91 0.82 .0003 2 0.91 0.58 .0004 2 0.91 0.60 .0005 1 0.91 0.70 .0006 3 0.91 0.88 .0007 11 0.91 0.36 .0008 1 0.91 0.10 .0009 2 0.91 0.93 .0010 1 0.91 0.55 .0011 2 0.91 0.72 .0012 4 0.91 0.62 .0013 2 0.91 0.66 .0014 1 0.91 0.63 .0015 1 0.91 0.20 .0016 5 0.91 0.88 .0017 1 0.91 0.07 .0018 10 0.91 0.35 .0019 9 0.91 0.72 .0020 2 0.91 1.05 .0021 2 0.91 0.74 .0022 3 0.91 0.69 .0023 3 0.91 1.00 .0024 8 0.91 0.32 .0025 2 0.91 0.72 .0026 1 0.91 0.38 .0027 1 0.91 0.62 .0028 1 0.91 0.07 .0029 9 0.91 0.41 .0030 5 0.91 0.72 .0031 1 0.91 0.53 .0032 1 0.91 0.07 .0033 5 0.91 0.79 .0034 1 0.91 0.89 .0035 3 0.91 0.83 .0036 11 0.91 0.25 .0037 4 0.91 1.35 .0038 4 0.91 0.78 .0039 1 0.91 0.62 .0040 1 0.93 0.96 .0041 3 0.93 0.95 .0042 3 0.93 0.88 .0043 1 0.93 0.07 .0044 1 0.93 0.07 .0045 4 0.93 0.82 .0046 2 0.93 0.82 .0047 4 0.93 0.96 .0048 3 0.93 1.24 .0049 2 0.93 0.77 .0050 3 0.93 0.86 .0051 2 0.93 0.81 .0052 3 0.93 0.88 .0053 4 0.93 0.79 .0054 2 0.93 0.82 .0055 2 0.93 0.73 .0056 3 0.93 0.64 .0057 3 0.93 0.92 .0058 5 0.93 0.72 .0059 4 0.93 0.51 .0060 1 0.89 0.20 .0061 1 0.89 0.10 .0062 1 0.89 0.10 .0063 1 0.89 0.13 .0064 2 0.89 0.13 .0065 1 0.89 0.09 .0066 3 0.89 1.13 .0067 1 0.89 0.09 .0068 1 0.89 0.11 .0069 1 0.89 0.13 .0070 1 0.89 0.07 .0071 4 0.89 0.74 .0072 1 0.89 0.09 .0073 1 0.89 0.14 .0074 1 0.89 0.08 .0075 1 0.89 0.19 .0076 2 0.89 0.71 .0077 5 0.89 0.82 .0078 2 0.89 0.10 .0079 4 0.89 0.81 .0080 4 0.87 0.83 .0081 2 0.87 0.72 .0082 2 0.87 0.75 .0083 3 0.87 0.82 .0084 8 0.87 0.67 .0085 2 0.87 0.71 .0086 4 0.87 0.93 .0087 4 0.87 0.80 .0088 3 0.87 0.69 .0089 1 0.87 0.06 .0090 0 0.87 0.00 .0091 1 0.87 0.07 .0092 1 0.87 0.58 .0093 4 0.87 0.81 .0094 10 0.87 0.42 .0095 1 0.87 0.06 .0096 3 0.87 0.79 .0097 1 0.87 0.80 .0098 1 0.87 0.74 .0099 5 0.87 0.84 .0100 1 0.86 0.10 .0101 1 0.86 0.11 .0102 1 0.86 0.08 .0103 1 0.86 0.09 .0104 1 0.86 0.10 .0105 1 0.86 0.10 .0106 1 0.86 0.16 .0107 1 0.86 0.11 .0108 1 0.86 0.23 .0109 1 0.86 0.10 .0110 1 0.86 0.10 .0111 1 0.86 0.09 .0112 1 0.86 0.11 .0113 1 0.86 0.17 .0114 1 0.86 0.14 .0115 1 0.86 0.12 .0116 1 0.86 0.09 .0117 1 0.86 0.18 .0118 1 0.86 0.12 .0119 1 0.86 0.09 .0120 6 0.88 0.67 .0121 9 0.88 0.37 .0122 3 0.88 0.52 .0123 2 0.88 0.07 .0124 1 0.88 0.08 .0125 9 0.88 0.50 .0126 1 0.88 0.07 .0127 2 0.88 0.83 .0128 2 0.88 0.98 .0129 1 0.88 0.66 .0130 2 0.88 1.16 .0131 8 0.88 0.89 .0132 3 0.88 0.78 .0133 10 0.88 0.24 .0134 1 0.88 0.07 .0135 3 0.88 0.84 .0136 3 0.88 0.92 .0137 10 0.88 0.28 .0138 7 0.88 0.64 .0139 6 0.88 1.00 .0140 1 0.87 0.07 .0141 1 0.87 0.11 .0142 1 0.87 0.09 .0143 1 0.87 0.13 .0144 1 0.87 0.10 .0145 1 0.87 0.11 .0146 1 0.87 0.11 .0147 1 0.87 0.18 .0148 1 0.87 0.09 .0149 3 0.87 0.80 .0150 1 0.87 0.10 .0151 1 0.87 0.12 .0152 1 0.87 0.15 .0153 1 0.87 0.17 .0154 1 0.87 0.08 .0155 1 0.87 0.12 .0156 1 0.87 0.07 .0157 1 0.87 0.09 .0158 1 0.87 0.08 .0159 1 0.87 0.13 .0160 1 0.87 0.10 .0161 1 0.87 0.10 .0162 1 0.87 0.12 .0163 1 0.87 0.09 .0164 1 0.87 0.10 .0165 1 0.87 0.08 .0166 1 0.87 0.13 .0167 1 0.87 0.08 .0168 1 0.87 0.16 .0169 1 0.87 0.10 .0170 1 0.87 0.10 .0171 1 0.87 0.10 .0172 1 0.87 0.10 .0173 1 0.87 0.10 .0174 1 0.87 0.15 .0175 1 0.87 0.07 .0176 1 0.87 0.09 .0177 1 0.87 0.09 .0178 1 0.87 0.09 .0179 1 0.87 0.11 .0180 2 0.88 0.92 .0181 1 0.88 0.20 .0182 1 0.88 0.10 .0183 1 0.88 0.09 .0184 1 0.88 0.14 .0185 1 0.88 0.11 .0186 1 0.88 0.09 .0187 1 0.88 0.09 .0188 1 0.88 0.12 .0189 1 0.88 0.10 .0190 1 0.88 0.09 .0191 1 0.88 0.10 .0192 1 0.88 0.09 .0193 1 0.88 0.14 .0194 2 0.88 0.68 .0195 1 0.88 0.11 .0196 1 0.88 0.10 .0197 4 0.88 0.53 .0198 1 0.88 0.10 .0199 1 0.88 0.17 .0200 2 0.89 0.84 .0201 3 0.89 1.65 .0202 4 0.89 0.67 .0203 1 0.89 0.07 .0204 3 0.89 0.85 .0205 2 0.89 0.83 .0206 2 0.89 0.34 .0207 3 0.89 0.98 .0208 2 0.89 0.52 .0209 5 0.89 0.63 .0210 4 0.89 0.84 .0211 11 0.89 0.40 .0212 3 0.89 0.82 .0213 3 0.89 0.61 .0214 3 0.89 0.69 .0215 1 0.89 0.72 .0216 1 0.89 0.08 .0217 9 0.89 0.87 .0218 1 0.89 0.07 .0219 8 0.89 0.85 .0220 6 0.88 0.93 .0221 1 0.88 0.15 .0222 3 0.88 0.86 .0223 2 0.88 0.12 .0224 9 0.88 0.51 .0225 2 0.88 0.76 .0226 4 0.88 0.80 .0227 3 0.88 0.85 .0228 10 0.88 0.36 .0229 1 0.88 0.17 .0230 1 0.88 0.09 .0231 7 0.88 0.61 .0232 1 0.88 0.14 .0233 1 0.88 0.10 .0234 1 0.88 0.10 .0235 1 0.88 0.12 .0236 1 0.88 0.12 .0237 1 0.88 0.09 .0238 1 0.88 0.10 .0239 2 0.88 0.20 .0240 1 0.89 0.87 .0241 8 0.89 0.57 .0242 1 0.89 0.25 .0243 4 0.89 0.74 .0244 2 0.89 0.84 .0245 1 0.89 0.07 .0246 2 0.89 0.69 .0247 3 0.89 0.80 .0248 2 0.89 0.71 .0249 3 0.89 1.11 .0250 2 0.89 0.91 .0251 0 0.89 0.00 .0252 5 0.89 0.84 .0253 8 0.89 0.67 .0254 2 0.89 0.98 .0255 1 0.89 0.09 .0256 2 0.89 0.61 .0257 4 0.89 0.82 .0258 3 0.89 0.97 .0259 2 0.89 0.86 .0260 5 0.91 0.57 .0261 2 0.91 0.68 .0262 1 0.91 0.07 .0263 3 0.91 0.86 .0264 10 0.91 0.29 .0265 9 0.91 0.24 .0266 1 0.91 0.34 .0267 1 0.91 0.08 .0268 2 0.91 0.72 .0269 4 0.91 0.83 .0270 3 0.91 0.84 .0271 5 0.91 0.89 .0272 9 0.91 0.68 .0273 1 0.91 0.06 .0274 8 0.91 0.39 .0275 4 0.91 0.89 .0276 10 0.91 0.27 .0277 3 0.91 0.80 .0278 5 0.91 0.88 .0279 1 0.91 0.28 .0280 3 0.90 1.14 .0281 2 0.90 0.63 .0282 2 0.90 0.79 .0283 1 0.90 0.07 .0284 3 0.90 0.72 .0285 3 0.90 0.73 .0286 1 0.90 0.46 .0287 1 0.90 0.60 .0288 2 0.90 0.78 .0289 1 0.90 0.14 .0290 11 0.90 0.34 .0291 2 0.90 0.91 .0292 1 0.90 0.55 .0293 4 0.90 0.65 .0294 0 0.90 0.00 .0295 9 0.90 0.44 .0296 2 0.90 0.77 .0297 7 0.90 0.56 .0298 5 0.90 0.73 .0299 1 0.90 0.58 .0300 2 0.90 0.79 .0301 2 0.90 0.60 .0302 1 0.90 0.52 .0303 9 0.90 0.47 .0304 3 0.90 0.59 .0305 4 0.90 0.64 .0306 3 0.90 0.84 .0307 6 0.90 0.81 .0308 1 0.90 0.53 .0309 3 0.90 0.86 .0310 10 0.90 0.51 .0311 1 0.90 0.06 .0312 4 0.90 0.90 .0313 9 0.90 0.36 .0314 1 0.90 0.08 .0315 8 0.90 0.75 .0316 9 0.90 0.57 .0317 1 0.90 0.06 .0318 3 0.90 0.79 .0319 2 0.90 0.63 EXTRACT_IMAGE: sdR-b1-00034755.fit: masked 975 pixels SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 0 median sigma(arc)= 0.90158280 sigma(sky)= -1583.7888 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 0 sigma^2(add)= 2508386.1 +/- 2402355.2 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 1 median sigma(arc)= 0.90169356 sigma(sky)= -1127.4409 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 1 sigma^2(add)= 1271122.2 +/- 3225050.7 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 2 median sigma(arc)= 0.91137954 sigma(sky)= 1.1052284 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 2 sigma^2(add)= 0.39091560 +/- 0.19053126 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 3 median sigma(arc)= 0.91698566 sigma(sky)= 0.62950763 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 3 sigma^2(add)= -0.32444756 +/- 0.81246800 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 4 median sigma(arc)= 1.0317259 sigma(sky)= 1.6873102 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 4 sigma^2(add)= 1.7873356 +/- 1.2751595 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 5 median sigma(arc)= 1.0889019 sigma(sky)= 43.529662 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Line # 5 sigma^2(add)= 14279.716 +/- 609730.31 SKYLINE_DISPERSION: sdR-b1-00034755.fit: Flexure sigma^2(add) = 0.11089244 +/- 0.22803947 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b1-00034755.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b1-00034755.fit: Heliocentric correction = 23.292786 km/s FITVACSET: sdR-b1-00034755.fit: Tweaking to sky lines FITVACSET: sdR-b1-00034755.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b1-00034755.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b1-00034755.fit: Number of pixels rejected: 1 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034755.fit: Number of sky fibers = 19 SKYSUBTRACT: sdR-b1-00034755.fit: Airmass range = 1.22157 1.26125 SKYSUBTRACT: sdR-b1-00034755.fit: Discarding 0.00624486 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 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1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 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1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034755.fit: Median sky-residual chi2 = 2.70348 SKYSUBTRACT: sdR-b1-00034755.fit: Max sky-residual chi2 = 8.05099 QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 71 = -13.7437 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 79 = -34.2882 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 90 = -21.0419 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 102 = 33.8252 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 124 = 40.5704 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 157 = 50.5154 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 217 = -13.0990 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 219 = -15.3755 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 246 = 14.1010 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 256 = 20.1094 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 268 = -57.4961 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 284 = -61.9055 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 290 = -52.7679 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 312 = 11.2135 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 318 = 21.5664 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Median sky-residual chi = 1.65879 QAPLOT_SKYSUB: sdR-b1-00034755.fit: Max sky-residual chi = 3.95968 at 3801.8994 Ang SKYSUBTRACT: sdR-b1-00034755.fit: Number of sky fibers = 19 SKYSUBTRACT: sdR-b1-00034755.fit: Airmass range = 1.22157 1.26125 SKYSUBTRACT: sdR-b1-00034755.fit: Discarding 0.00624486 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 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of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b1-00034755.fit: Median sky-residual chi2 = 2.92264 SKYSUBTRACT: sdR-b1-00034755.fit: Max sky-residual chi2 = 9.39592 QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 71 = -12.9330 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 79 = -34.0080 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 90 = -23.4796 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 102 = 28.8484 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 124 = 32.4031 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 157 = 41.2521 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 204 = -11.9622 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 217 = -20.4664 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 219 = -22.8292 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 246 = 11.1576 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 256 = 19.7182 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 268 = -54.8861 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 284 = -55.4316 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 290 = -44.6912 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 312 = 27.7473 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 315 = 27.3371 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Warning: Median sky-sub flux in sky fiber 318 = 40.1435 electrons QAPLOT_SKYSUB: sdR-b1-00034755.fit: Median sky-residual chi = 1.71373 QAPLOT_SKYSUB: sdR-b1-00034755.fit: Max sky-residual chi = 3.57322 at 3803.8603 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b1-00034755.fit: Airmass range = 1.22 1.26 QAPLOT_SKYLINE: sdR-b1-00034755.fit: Flux dispersion for skyline 4359.5 = 35.86 % QAPLOT_SKYLINE: sdR-b1-00034755.fit: Airmass range = 1.22 1.26 QAPLOT_SKYLINE: sdR-b1-00034755.fit: Flux dispersion for skyline 5578.9 = 2.71 % SPADD_GUIDERINFO: sdR-b1-00034755.fit: Number of guider frames = 11 SPREDUCE: sdR-b1-00034755.fit: Elapsed time = 160. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 0 of 320 ( 0) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 1 of 320 ( 1) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 2 of 320 ( 2) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 3 of 320 ( 3) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 4 of 320 ( 4) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 5 of 320 ( 5) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 6 of 320 ( 6) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 7 of 320 ( 7) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 8 of 320 ( 8) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 9 of 320 ( 9) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 10 of 320 ( 10) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 11 of 320 ( 11) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 12 of 320 ( 12) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 13 of 320 ( 13) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 14 of 320 ( 14) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 15 of 320 ( 15) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 16 of 320 ( 16) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 17 of 320 ( 17) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 18 of 320 ( 18) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 19 of 320 ( 19) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 20 of 320 ( 20) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 21 of 320 ( 21) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 22 of 320 ( 22) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 23 of 320 ( 23) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 24 of 320 ( 24) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 25 of 320 ( 25) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 26 of 320 ( 26) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 27 of 320 ( 27) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 28 of 320 ( 28) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 29 of 320 ( 29) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 30 of 320 ( 30) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 31 of 320 ( 31) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 32 of 320 ( 32) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 33 of 320 ( 33) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 34 of 320 ( 34) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 35 of 320 ( 35) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 36 of 320 ( 36) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 37 of 320 ( 37) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 38 of 320 ( 38) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 39 of 320 ( 39) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 40 of 320 ( 40) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 41 of 320 ( 41) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 42 of 320 ( 42) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 43 of 320 ( 43) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 44 of 320 ( 44) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 45 of 320 ( 45) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 46 of 320 ( 46) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 47 of 320 ( 47) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 48 of 320 ( 48) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 49 of 320 ( 49) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 50 of 320 ( 50) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 51 of 320 ( 51) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 52 of 320 ( 52) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 53 of 320 ( 53) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 54 of 320 ( 54) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 55 of 320 ( 55) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 56 of 320 ( 56) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 57 of 320 ( 57) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 58 of 320 ( 58) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 59 of 320 ( 59) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 60 of 320 ( 60) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 61 of 320 ( 61) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 62 of 320 ( 62) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 63 of 320 ( 63) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 64 of 320 ( 64) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 65 of 320 ( 65) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 66 of 320 ( 66) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 67 of 320 ( 67) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 68 of 320 ( 68) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 69 of 320 ( 69) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 70 of 320 ( 70) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 71 of 320 ( 71) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 72 of 320 ( 72) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 73 of 320 ( 73) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 74 of 320 ( 74) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 75 of 320 ( 75) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 76 of 320 ( 76) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 77 of 320 ( 77) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 78 of 320 ( 78) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 79 of 320 ( 79) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 80 of 320 ( 80) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 81 of 320 ( 81) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 82 of 320 ( 82) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 83 of 320 ( 83) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 84 of 320 ( 84) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 85 of 320 ( 85) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 86 of 320 ( 86) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 87 of 320 ( 87) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 88 of 320 ( 88) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 89 of 320 ( 89) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 91 of 320 ( 91) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 92 of 320 ( 92) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 93 of 320 ( 93) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 94 of 320 ( 94) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 95 of 320 ( 95) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 96 of 320 ( 96) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 97 of 320 ( 97) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 98 of 320 ( 98) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 99 of 320 ( 99) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 100 of 320 ( 100) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 101 of 320 ( 101) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 102 of 320 ( 102) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 103 of 320 ( 103) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 104 of 320 ( 104) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 105 of 320 ( 105) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 106 of 320 ( 106) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 107 of 320 ( 107) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 108 of 320 ( 108) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 109 of 320 ( 109) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 110 of 320 ( 110) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 111 of 320 ( 111) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 112 of 320 ( 112) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 113 of 320 ( 113) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 114 of 320 ( 114) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 115 of 320 ( 115) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 116 of 320 ( 116) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 117 of 320 ( 117) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 118 of 320 ( 118) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 119 of 320 ( 119) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 120 of 320 ( 120) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 121 of 320 ( 121) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 122 of 320 ( 122) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 123 of 320 ( 123) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 124 of 320 ( 124) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 125 of 320 ( 125) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 126 of 320 ( 126) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 127 of 320 ( 127) done. FRAME_RATIOS: sdR-b1-00034755.fit: 2338-53683 Trace 128 of 320 ( 128) done. 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Iter 1 CHI-SQUARE = 16564.364 DOF = 897 P(0) = 0.00000 P(1) = 1.00000 P(2) = 0.00000 Iter 2 CHI-SQUARE = 5889.8818 DOF = 897 P(0) = -0.0186763 P(1) = -0.315833 P(2) = 0.000261923 Iter 3 CHI-SQUARE = 5307.2761 DOF = 897 P(0) = -0.0185274 P(1) = -0.129282 P(2) = -0.000941725 Iter 4 CHI-SQUARE = 4697.4978 DOF = 897 P(0) = -0.0188283 P(1) = -0.479410 P(2) = -0.000527237 Iter 5 CHI-SQUARE = 4667.5017 DOF = 897 P(0) = -0.0188116 P(1) = -0.487979 P(2) = -0.000622868 Iter 6 CHI-SQUARE = 4663.2878 DOF = 897 P(0) = -0.0188209 P(1) = -0.494598 P(2) = -0.000656600 Iter 7 CHI-SQUARE = 4662.5528 DOF = 897 P(0) = -0.0188233 P(1) = -0.495506 P(2) = -0.000670737 Iter 8 CHI-SQUARE = 4662.4026 DOF = 897 P(0) = -0.0188241 P(1) = -0.495680 P(2) = -0.000677108 Iter 9 CHI-SQUARE = 4662.3707 DOF = 897 P(0) = -0.0188245 P(1) = -0.495719 P(2) = -0.000680044 Iter 10 CHI-SQUARE = 4662.3637 DOF = 897 P(0) = -0.0188247 P(1) = -0.495730 P(2) = -0.000681411 Iter 11 CHI-SQUARE = 4662.3622 DOF = 897 P(0) = -0.0188248 P(1) = -0.495733 P(2) = -0.000682049 Iter 12 CHI-SQUARE = 4662.3619 DOF = 897 P(0) = -0.0188248 P(1) = -0.495734 P(2) = -0.000682348 Iter 13 CHI-SQUARE = 4662.3618 DOF = 897 P(0) = -0.0188248 P(1) = -0.495734 P(2) = -0.000682489 Iter 14 CHI-SQUARE = 4662.3618 DOF = 897 P(0) = -0.0188248 P(1) = -0.495734 P(2) = -0.000682555 Iter 15 CHI-SQUARE = 4662.3618 DOF = 897 P(0) = -0.0188248 P(1) = -0.495734 P(2) = -0.000682586 Iter 16 CHI-SQUARE = 4662.3618 DOF = 897 P(0) = -0.0188248 P(1) = -0.495734 P(2) = -0.000682600 Iter 17 CHI-SQUARE = 4662.3618 DOF = 897 P(0) = -0.0188248 P(1) = -0.495734 P(2) = -0.000682607 Iter 1 CHI-SQUARE = 248726.96 DOF = 1599 P(0) = 0.00000 % Program caused arithmetic error: Floating divide by 0 % Program caused arithmetic error: Floating underflow % Program caused arithmetic error: Floating overflow % Program caused arithmetic error: Floating illegal operand Iter 2 CHI-SQUARE = 248262.08 DOF = 1599 P(0) = 2.73103E-08 Iter 3 CHI-SQUARE = 248252.32 DOF = 1599 P(0) = 2.18940E-08 Iter 4 CHI-SQUARE = 248251.27 DOF = 1599 P(0) = 2.31195E-08 Iter 5 CHI-SQUARE = 248251.27 DOF = 1599 P(0) = 2.31416E-08 Iter 6 CHI-SQUARE = 248251.27 DOF = 1599 P(0) = 2.31498E-08 Iter 6 CHI-SQUARE = 248251.27 DOF = 1599 P(0) = 2.31498E-08 Iter 1 CHI-SQUARE = 248251.27 DOF = 1599 P(0) = 2.31498E-08 Iter 1 CHI-SQUARE = 248251.27 DOF = 1599 P(0) = 2.31498E-08 MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 0 of 320 ( 0) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 1 of 320 ( 1) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 2 of 320 ( 2) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 3 of 320 ( 3) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 4 of 320 ( 4) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 5 of 320 ( 5) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 6 of 320 ( 6) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 7 of 320 ( 7) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 8 of 320 ( 8) MAKE_POSTFLAT: 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of 320 ( 205) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 206 of 320 ( 206) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 207 of 320 ( 207) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 208 of 320 ( 208) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 209 of 320 ( 209) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 210 of 320 ( 210) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 211 of 320 ( 211) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 212 of 320 ( 212) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 213 of 320 ( 213) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 214 of 320 ( 214) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 215 of 320 ( 215) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 216 of 320 ( 216) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 217 of 320 ( 217) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 218 of 320 ( 218) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 219 of 320 ( 219) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 220 of 320 ( 220) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 221 of 320 ( 221) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 222 of 320 ( 222) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 223 of 320 ( 223) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 224 of 320 ( 224) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 225 of 320 ( 225) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 226 of 320 ( 226) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 227 of 320 ( 227) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 228 of 320 ( 228) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 229 of 320 ( 229) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 230 of 320 ( 230) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 231 of 320 ( 231) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 232 of 320 ( 232) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 233 of 320 ( 233) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 234 of 320 ( 234) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 235 of 320 ( 235) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 236 of 320 ( 236) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 237 of 320 ( 237) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 238 of 320 ( 238) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 239 of 320 ( 239) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 240 of 320 ( 240) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 241 of 320 ( 241) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 242 of 320 ( 242) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 243 of 320 ( 243) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 244 of 320 ( 244) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 245 of 320 ( 245) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 246 of 320 ( 246) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 247 of 320 ( 247) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 248 of 320 ( 248) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 249 of 320 ( 249) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 250 of 320 ( 250) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 251 of 320 ( 251) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 252 of 320 ( 252) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 253 of 320 ( 253) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 254 of 320 ( 254) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 255 of 320 ( 255) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 256 of 320 ( 256) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 257 of 320 ( 257) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 258 of 320 ( 258) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 259 of 320 ( 259) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 260 of 320 ( 260) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 261 of 320 ( 261) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 262 of 320 ( 262) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 263 of 320 ( 263) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 264 of 320 ( 264) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 265 of 320 ( 265) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 266 of 320 ( 266) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 267 of 320 ( 267) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 268 of 320 ( 268) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 269 of 320 ( 269) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 270 of 320 ( 270) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 271 of 320 ( 271) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 272 of 320 ( 272) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 273 of 320 ( 273) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 274 of 320 ( 274) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 275 of 320 ( 275) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 276 of 320 ( 276) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 277 of 320 ( 277) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 278 of 320 ( 278) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 279 of 320 ( 279) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 280 of 320 ( 280) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 281 of 320 ( 281) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 282 of 320 ( 282) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 283 of 320 ( 283) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 284 of 320 ( 284) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 285 of 320 ( 285) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 286 of 320 ( 286) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 287 of 320 ( 287) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 288 of 320 ( 288) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 289 of 320 ( 289) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 290 of 320 ( 290) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 291 of 320 ( 291) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 292 of 320 ( 292) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 293 of 320 ( 293) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 294 of 320 ( 294) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 295 of 320 ( 295) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 296 of 320 ( 296) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 297 of 320 ( 297) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 298 of 320 ( 298) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 299 of 320 ( 299) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 300 of 320 ( 300) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 301 of 320 ( 301) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 302 of 320 ( 302) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 303 of 320 ( 303) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 304 of 320 ( 304) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 305 of 320 ( 305) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 306 of 320 ( 306) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 307 of 320 ( 307) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 308 of 320 ( 308) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 309 of 320 ( 309) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 310 of 320 ( 310) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 311 of 320 ( 311) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 312 of 320 ( 312) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 313 of 320 ( 313) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 314 of 320 ( 314) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 315 of 320 ( 315) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 316 of 320 ( 316) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 317 of 320 ( 317) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 318 of 320 ( 318) MAKE_POSTFLAT: sdR-b1-00034755.fit: 2338-53683 trace: 319 of 320 ( 319) MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 1175. seconds SPREDUCE2D: Time to reduce camera b1 = 1175. seconds READPLUGMAP: b2: Rescaling SCI_EXPTIME values by 240.10000 READPLUGMAP: b2: Adding fields from calibObj file READPLUGMAP: b2: LIED about EBV. Set to 0.3 PLUG2TSOBJ: b2: WARNING: calibObj file not found for plate 2338 READPLUGMAP: b2: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: b2: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: b2: Number of missing fibers: 4 SPCALIB: b2: Tracing flat # 1 of 2 SPCALIB: b2: Reading flat sdR-b2-00034750.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opECalib-51577.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.90686 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1224.76 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1205. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.39531 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1198.20 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1181. DN is 0 SDSSPROC: b2: Number of bleading columns = 1 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Tracing 320 fibers in sdR-b2-00034750.fit TRACE320CEN: b2: Big gap at fiber= 20, x= 138.44, dx= 8.05 TRACE320CEN: b2: Big gap at fiber= 40, x= 265.76, dx= 9.24 TRACE320CEN: b2: Big gap at fiber= 60, x= 391.17, dx= 7.99 TRACE320CEN: b2: Big gap at fiber= 80, x= 516.68, dx= 8.28 TRACE320CEN: b2: Big gap at fiber= 100, x= 641.90, dx= 8.20 TRACE320CEN: b2: Big gap at fiber= 160, x=1014.48, dx= 8.28 TRACE320CEN: b2: Big gap at fiber= 200, x=1262.59, dx= 7.88 TRACE320CEN: b2: Big gap at fiber= 220, x=1387.58, dx= 8.20 TRACE320CEN: b2: Big gap at fiber= 240, x=1512.26, dx= 7.85 TRACE320CEN: b2: Big gap at fiber= 260, x=1637.86, dx= 8.06 TRACE320CEN: b2: Big gap at fiber= 280, x=1763.20, dx= 8.05 TRACE320CEN: b2: Big gap at fiber= 300, x=1890.59, dx= 9.39 TRACE320CRUDE: b2: Warning: Fixing traces: 202 241 263 292 311 SPCALIB: b2: Fitting traces in sdR-b2-00034750.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 77 23 2048 33 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 90 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 2 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 4 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 2 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 208 SPCALIB: b2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 1 1.00 1.19 .0001 1 1.00 1.52 .0002 1 1.00 1.22 .0003 1 1.00 1.20 .0004 1 1.00 1.14 .0005 1 1.00 1.19 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1.00 1.09 .0062 1 1.00 1.08 .0063 1 1.00 1.12 .0064 3 1.00 1.15 .0065 1 1.00 1.08 .0066 1 1.00 1.08 .0067 1 1.00 1.11 .0068 1 1.00 1.18 .0069 2 1.00 1.13 .0070 3 1.00 1.11 .0071 1 1.00 1.14 .0072 1 1.00 1.24 .0073 1 1.00 1.18 .0074 1 1.00 1.17 .0075 1 1.00 1.18 .0076 1 1.00 1.13 .0077 1 1.00 1.13 .0078 3 1.00 1.15 .0079 2 1.00 1.32 .0080 1 1.00 1.23 .0081 1 1.00 1.20 .0082 1 1.00 1.22 .0083 1 1.00 1.17 .0084 1 1.00 1.23 .0085 1 1.00 1.19 .0086 1 1.00 1.24 .0087 1 1.00 1.25 .0088 1 1.00 1.22 .0089 1 1.00 1.18 .0090 1 1.00 1.24 .0091 1 1.00 1.31 .0092 1 1.00 1.27 .0093 1 1.00 1.29 .0094 1 1.00 1.27 .0095 2 1.00 1.20 .0096 1 1.00 1.21 .0097 1 1.00 1.27 .0098 1 1.00 1.23 .0099 1 1.00 1.35 .0100 3 1.00 1.31 .0101 1 1.00 1.33 .0102 1 1.00 1.24 .0103 1 1.00 1.32 .0104 1 1.00 1.33 .0105 1 1.00 1.39 .0106 1 1.00 1.40 .0107 1 1.00 1.34 .0108 1 1.00 1.35 .0109 1 1.00 1.30 .0110 1 1.00 1.29 .0111 1 1.00 1.31 .0112 1 1.00 1.31 .0113 1 1.00 1.31 .0114 1 1.00 1.43 .0115 1 1.00 1.38 .0116 1 1.00 1.33 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0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 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2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITFLATWIDTH: b2: Median spatial widths = 0.92 0.93 0.92 0.92 pix (LL LR UL UR) SPCALIB: b2: Using Cubic, median chi squareds: vs SPCALIB: b2: Found 0 bright pixels in extracted flat sdR-b2-00034750.fit SPCALIB: b2: Tracing flat # 2 of 2 SPCALIB: b2: Reading flat sdR-b2-00034756.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.86447 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1225.71 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.32554 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1198.60 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: b2: Number of bleading columns = 1 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Tracing 320 fibers in sdR-b2-00034756.fit TRACE320CEN: b2: Big gap at fiber= 20, x= 138.52, dx= 8.06 TRACE320CEN: b2: Big gap at fiber= 40, x= 265.81, dx= 9.23 TRACE320CEN: b2: Big gap at fiber= 60, x= 391.22, dx= 7.99 TRACE320CEN: b2: Big gap at fiber= 80, x= 516.72, dx= 8.28 TRACE320CEN: b2: Big gap at fiber= 100, x= 641.93, dx= 8.20 TRACE320CEN: b2: Big gap at fiber= 160, x=1014.50, dx= 8.28 TRACE320CEN: b2: Big gap at fiber= 200, x=1262.71, dx= 8.00 TRACE320CEN: b2: Big gap at fiber= 220, x=1387.58, dx= 8.21 TRACE320CEN: b2: Big gap at fiber= 240, x=1512.24, dx= 7.86 TRACE320CEN: b2: Big gap at fiber= 260, x=1637.84, dx= 8.07 TRACE320CEN: b2: Big gap at fiber= 280, x=1763.17, dx= 8.04 TRACE320CEN: b2: Big gap at fiber= 300, x=1890.55, dx= 9.39 TRACE320CRUDE: b2: Warning: Fixing traces: 200 202 241 263 292 311 SPCALIB: b2: Fitting traces in sdR-b2-00034756.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 1 6 2048 5 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 76 23 2048 48 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 76 61 2048 0 62 2048 1 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 1 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 1 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 3 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 1 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 213 SPCALIB: b2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 1 1.00 1.13 .0001 1 1.00 1.19 .0002 1 1.00 1.17 .0003 1 1.00 1.11 .0004 1 1.00 1.18 .0005 1 1.00 1.07 .0006 1 1.00 1.17 .0007 1 1.00 1.17 .0008 1 1.00 1.10 .0009 1 1.00 1.19 .0010 1 1.00 1.15 .0011 2 1.00 1.16 .0012 1 1.00 1.18 .0013 1 1.00 1.18 .0014 1 1.00 1.16 .0015 1 1.00 1.05 .0016 1 1.00 1.13 .0017 1 1.00 1.19 .0018 1 1.00 1.06 .0019 1 1.00 1.11 .0020 1 1.00 1.03 .0021 1 1.00 1.05 .0022 1 1.00 1.15 .0023 1 1.00 1.13 .0024 1 1.00 1.06 .0025 1 1.00 1.11 .0026 1 1.00 1.16 .0027 1 1.00 1.10 .0028 1 1.00 1.16 .0029 1 1.00 1.12 .0030 1 1.00 1.10 .0031 1 1.00 1.02 .0032 1 1.00 1.05 .0033 1 1.00 1.08 .0034 2 1.00 1.10 .0035 2 1.00 1.12 .0036 1 1.00 1.15 .0037 1 1.00 1.15 .0038 3 1.00 1.24 .0039 1 1.00 1.05 .0040 1 1.00 1.06 .0041 1 1.00 1.09 .0042 1 1.00 1.16 .0043 1 1.00 1.15 .0044 1 1.00 1.15 .0045 1 1.00 1.14 .0046 1 1.00 1.07 .0047 1 1.00 1.07 .0048 1 1.00 1.08 .0049 1 1.00 1.06 .0050 1 1.00 1.13 .0051 1 1.00 1.14 .0052 1 1.00 1.10 .0053 1 1.00 1.03 .0054 2 1.00 1.07 .0055 1 1.00 1.06 .0056 1 1.00 1.07 .0057 1 1.00 1.05 .0058 1 1.00 1.11 .0059 1 1.00 1.10 .0060 1 1.00 1.08 .0061 1 1.00 1.14 .0062 1 1.00 1.04 .0063 1 1.00 1.08 .0064 1 1.00 1.17 .0065 1 1.00 1.12 .0066 1 1.00 1.13 .0067 1 1.00 1.23 .0068 1 1.00 1.06 .0069 1 1.00 1.22 .0070 1 1.00 1.04 .0071 1 1.00 1.07 .0072 1 1.00 1.18 .0073 1 1.00 1.19 .0074 1 1.00 1.12 .0075 1 1.00 1.17 .0076 1 1.00 1.23 .0077 1 1.00 1.34 .0078 1 1.00 1.14 .0079 1 1.00 1.17 .0080 1 1.00 1.25 .0081 3 1.00 1.23 .0082 5 1.00 1.31 .0083 1 1.00 1.20 .0084 1 1.00 1.25 .0085 1 1.00 1.29 .0086 1 1.00 1.20 .0087 1 1.00 1.30 .0088 2 1.00 1.25 .0089 1 1.00 1.17 .0090 1 1.00 1.31 .0091 1 1.00 1.29 .0092 1 1.00 1.25 .0093 1 1.00 1.27 .0094 1 1.00 1.44 .0095 2 1.00 1.36 .0096 3 1.00 1.37 .0097 1 1.00 1.39 .0098 1 1.00 1.30 .0099 1 1.00 1.30 .0100 1 1.00 1.25 .0101 1 1.00 1.30 .0102 1 1.00 1.34 .0103 1 1.00 1.30 .0104 1 1.00 1.37 .0105 2 1.00 1.36 .0106 1 1.00 1.31 .0107 1 1.00 1.33 .0108 1 1.00 1.34 .0109 1 1.00 1.29 .0110 1 1.00 1.37 .0111 1 1.00 1.30 .0112 1 1.00 1.33 .0113 1 1.00 1.40 .0114 1 1.00 1.41 .0115 1 1.00 1.38 .0116 1 1.00 1.41 .0117 1 1.00 1.30 .0118 1 1.00 1.38 .0119 1 1.00 1.31 .0120 1 1.00 1.34 .0121 1 1.00 1.33 .0122 1 1.00 1.31 .0123 1 1.00 1.26 .0124 1 1.00 1.42 .0125 1 1.00 1.31 .0126 1 1.00 1.31 .0127 1 1.00 1.36 .0128 1 1.00 1.47 .0129 1 1.00 1.26 .0130 1 1.00 1.34 .0131 1 1.00 1.35 .0132 1 1.00 1.35 .0133 1 1.00 1.31 .0134 1 1.00 1.37 .0135 1 1.00 1.37 .0136 1 1.00 1.23 .0137 1 1.00 1.37 .0138 1 1.00 1.36 .0139 1 1.00 1.42 .0140 1 1.00 1.37 .0141 1 1.00 1.35 .0142 1 1.00 1.52 .0143 1 1.00 1.36 .0144 1 1.00 1.38 .0145 2 1.00 1.48 .0146 2 1.00 1.22 .0147 2 1.00 1.41 .0148 1 1.00 1.35 .0149 1 1.00 1.26 .0150 1 1.00 1.37 .0151 1 1.00 1.39 .0152 1 1.00 1.29 .0153 1 1.00 1.29 .0154 1 1.00 1.33 .0155 1 1.00 1.34 .0156 1 1.00 1.34 .0157 1 1.00 1.29 .0158 1 1.00 1.36 .0159 1 1.00 1.30 .0160 1 1.00 1.43 .0161 1 1.00 1.35 .0162 1 1.00 1.55 .0163 1 1.00 1.38 .0164 1 1.00 1.39 .0165 1 1.00 1.30 .0166 1 1.00 1.38 .0167 1 1.00 1.37 .0168 1 1.00 1.33 .0169 1 1.00 1.30 .0170 1 1.00 1.34 .0171 1 1.00 1.36 .0172 1 1.00 1.43 .0173 1 1.00 1.32 .0174 2 1.00 1.41 .0175 4 1.00 1.47 .0176 1 1.00 1.42 .0177 1 1.00 1.36 .0178 1 1.00 1.30 .0179 2 1.00 1.38 .0180 1 1.00 1.32 .0181 1 1.00 1.34 .0182 1 1.00 1.32 .0183 1 1.00 1.33 .0184 1 1.00 1.34 .0185 1 1.00 1.27 .0186 1 1.00 1.42 .0187 1 1.00 1.30 .0188 1 1.00 1.39 .0189 1 1.00 1.28 .0190 1 1.00 1.35 .0191 1 1.00 1.35 .0192 3 1.00 1.33 .0193 1 1.00 1.44 .0194 1 1.00 1.40 .0195 1 1.00 1.36 .0196 1 1.00 1.38 .0197 1 1.00 1.48 .0198 1 1.00 1.36 .0199 1 1.00 1.44 .0200 1 1.00 1.39 .0201 1 1.00 1.41 .0202 1 1.00 1.38 .0203 1 1.00 1.39 .0204 1 1.00 1.34 .0205 1 1.00 1.38 .0206 1 1.00 1.32 .0207 1 1.00 1.43 .0208 1 1.00 1.37 .0209 1 1.00 1.33 .0210 1 1.00 1.49 .0211 1 1.00 1.44 .0212 1 1.00 1.32 .0213 1 1.00 1.39 .0214 1 1.00 1.37 .0215 1 1.00 1.41 .0216 1 1.00 1.41 .0217 1 1.00 1.45 .0218 1 1.00 1.37 .0219 1 1.00 1.37 .0220 1 1.00 1.52 .0221 1 1.00 1.46 .0222 1 1.00 1.48 .0223 1 1.00 1.48 .0224 1 1.00 1.48 .0225 1 1.00 1.50 .0226 1 1.00 1.53 .0227 1 1.00 1.49 .0228 1 1.00 1.50 .0229 1 1.00 1.62 .0230 1 1.00 1.41 .0231 1 1.00 1.52 .0232 1 1.00 1.46 .0233 1 1.00 1.44 .0234 1 1.00 1.61 .0235 1 1.00 1.51 .0236 1 1.00 1.50 .0237 1 1.00 1.58 .0238 1 1.00 1.49 .0239 1 1.00 1.38 .0240 1 1.00 1.49 .0241 1 1.00 1.56 .0242 1 1.00 1.50 .0243 1 1.00 1.44 .0244 1 1.00 1.53 .0245 1 1.00 1.49 .0246 1 1.00 1.47 .0247 1 1.00 1.48 .0248 1 1.00 1.50 .0249 1 1.00 1.50 .0250 1 1.00 1.49 .0251 1 1.00 1.50 .0252 1 1.00 1.58 .0253 1 1.00 1.57 .0254 1 1.00 1.57 .0255 1 1.00 1.55 .0256 1 1.00 1.53 .0257 1 1.00 1.50 .0258 1 1.00 1.65 .0259 1 1.00 1.52 .0260 1 1.00 1.48 .0261 1 1.00 1.53 .0262 1 1.00 1.57 .0263 1 1.00 1.70 .0264 1 1.00 1.65 .0265 1 1.00 1.61 .0266 1 1.00 1.66 .0267 1 1.00 1.68 .0268 1 1.00 1.67 .0269 1 1.00 1.74 .0270 1 1.00 1.63 .0271 1 1.00 1.70 .0272 1 1.00 1.70 .0273 1 1.00 1.75 .0274 1 1.00 1.82 .0275 1 1.00 1.85 .0276 1 1.00 1.75 .0277 1 1.00 1.69 .0278 1 1.00 1.77 .0279 1 1.00 1.82 .0280 1 1.00 1.81 .0281 1 1.00 1.83 .0282 1 1.00 1.83 .0283 1 1.00 1.77 .0284 1 1.00 1.90 .0285 1 1.00 1.90 .0286 1 1.00 1.94 .0287 1 1.00 1.95 .0288 1 1.00 1.98 .0289 2 1.00 2.01 .0290 2 1.00 2.25 .0291 1 1.00 1.92 .0292 1 1.00 2.02 .0293 1 1.00 1.93 .0294 1 1.00 2.04 .0295 1 1.00 2.05 .0296 1 1.00 1.97 .0297 1 1.00 1.99 .0298 1 1.00 2.10 .0299 1 1.00 2.10 .0300 1 1.00 2.11 .0301 1 1.00 2.24 .0302 1 1.00 2.15 .0303 1 1.00 2.14 .0304 1 1.00 2.27 .0305 1 1.00 2.23 .0306 1 1.00 2.25 .0307 1 1.00 2.23 .0308 1 1.00 2.17 .0309 1 1.00 2.26 .0310 1 1.00 2.29 .0311 1 1.00 2.37 .0312 1 1.00 2.53 .0313 1 1.00 2.40 .0314 1 1.00 2.33 .0315 1 1.00 2.33 .0316 1 1.00 2.27 .0317 1 1.00 2.31 .0318 1 1.00 2.39 .0319 1 1.00 2.57 .0320 1 1.00 2.42 .0321 1 1.00 2.47 .0322 1 1.00 2.52 .0323 1 1.00 2.49 .0324 1 1.00 2.59 .0325 1 1.00 2.53 .0326 1 1.00 2.38 .0327 1 1.00 2.51 .0328 1 1.00 2.43 .0329 1 1.00 2.60 .0330 1 1.00 2.52 .0331 1 1.00 2.62 .0332 1 1.00 2.60 .0333 1 1.00 2.57 .0334 1 1.00 2.52 .0335 1 1.00 2.60 .0336 1 1.00 2.70 .0337 1 1.00 2.62 .0338 1 1.00 2.67 .0339 1 1.00 2.59 .0340 1 1.00 2.78 .0341 2 1.00 2.68 .0342 1 1.00 2.80 .0343 1 1.00 2.75 .0344 1 1.00 2.75 .0345 1 1.00 2.77 .0346 1 1.00 2.78 .0347 1 1.00 2.86 .0348 1 1.00 2.92 .0349 1 1.00 2.90 .0350 1 1.00 2.96 .0351 1 1.00 2.76 .0352 1 1.00 2.88 .0353 1 1.00 3.08 .0354 1 1.00 3.05 .0355 1 1.00 3.06 .0356 1 1.00 3.21 .0357 1 1.00 3.07 .0358 1 1.00 3.10 .0359 1 1.00 3.09 .0360 1 1.00 2.98 .0361 1 1.00 3.12 .0362 1 1.00 3.11 .0363 1 1.00 3.15 .0364 1 1.00 3.14 .0365 1 1.00 2.96 .0366 1 1.00 3.04 .0367 1 1.00 3.11 .0368 1 1.00 3.04 .0369 1 1.00 3.18 .0370 1 1.00 3.35 .0371 1 1.00 3.18 .0372 1 1.00 3.14 .0373 1 1.00 3.29 .0374 1 1.00 3.28 .0375 1 1.00 3.23 .0376 1 1.00 3.19 .0377 1 1.00 3.47 .0378 2 1.00 3.63 .0379 2 1.00 3.80 .0380 1 1.00 3.38 .0381 1 1.00 3.18 .0382 1 1.00 3.32 .0383 2 1.00 3.52 .0384 1 1.00 3.33 .0385 1 1.00 3.48 .0386 1 1.00 3.54 .0387 1 1.00 3.57 .0388 1 1.00 3.43 .0389 1 1.00 3.66 .0390 1 1.00 3.54 .0391 1 1.00 3.69 .0392 1 1.00 3.50 .0393 1 1.00 3.32 .0394 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3.82 .1671 1 1.00 3.63 .1672 1 1.00 3.59 .1673 1 1.00 3.62 .1674 1 1.00 3.57 .1675 1 1.00 3.44 .1676 1 1.00 3.47 .1677 1 1.00 3.76 .1678 1 1.00 3.69 .1679 1 1.00 3.57 .1680 1 1.00 3.67 .1681 1 1.00 3.64 .1682 1 1.00 3.65 .1683 1 1.00 3.42 .1684 1 1.00 3.68 .1685 2 1.00 3.72 .1686 1 1.00 3.73 .1687 1 1.00 3.47 .1688 1 1.00 3.78 .1689 1 1.00 3.53 .1690 1 1.00 3.52 .1691 1 1.00 3.85 .1692 1 1.00 3.79 .1693 1 1.00 3.62 .1694 1 1.00 3.66 .1695 1 1.00 3.60 .1696 1 1.00 3.77 .1697 1 1.00 3.82 .1698 1 1.00 3.51 .1699 1 1.00 3.68 .1700 1 1.00 3.55 .1701 1 1.00 3.88 .1702 1 1.00 3.67 .1703 1 1.00 3.64 .1704 1 1.00 3.49 .1705 1 1.00 3.73 .1706 1 1.00 3.72 .1707 1 1.00 3.82 .1708 1 1.00 3.85 .1709 1 1.00 3.70 .1710 1 1.00 4.01 .1711 1 1.00 3.49 .1712 1 1.00 3.72 .1713 1 1.00 3.62 .1714 1 1.00 3.67 .1715 1 1.00 3.59 .1716 1 1.00 3.68 .1717 1 1.00 3.55 .1718 1 1.00 3.66 .1719 1 1.00 3.75 .1720 2 1.00 3.59 .1721 1 1.00 3.54 .1722 1 1.00 3.51 .1723 1 1.00 3.66 .1724 1 1.00 3.71 .1725 1 1.00 3.53 .1726 1 1.00 3.68 .1727 1 1.00 3.56 .1728 1 1.00 3.54 .1729 1 1.00 3.65 .1730 1 1.00 3.47 .1731 1 1.00 3.59 .1732 1 1.00 3.70 .1733 1 1.00 3.83 .1734 1 1.00 3.51 .1735 1 1.00 3.54 .1736 1 1.00 3.68 .1737 1 1.00 3.88 .1738 1 1.00 3.95 .1739 1 1.00 3.68 .1740 1 1.00 3.59 .1741 2 1.00 3.50 .1742 1 1.00 3.76 .1743 1 1.00 3.64 .1744 1 1.00 3.60 .1745 1 1.00 3.61 .1746 1 1.00 3.65 .1747 2 1.00 3.74 .1748 1 1.00 3.61 .1749 1 1.00 3.58 .1750 1 1.00 3.57 .1751 1 1.00 3.75 .1752 2 1.00 3.68 .1753 1 1.00 3.55 .1754 2 1.00 3.79 .1755 1 1.00 3.71 .1756 1 1.00 3.48 .1757 1 1.00 3.45 .1758 1 1.00 3.50 .1759 1 1.00 3.45 .1760 1 1.00 3.70 .1761 1 1.00 4.11 .1762 1 1.00 3.59 .1763 1 1.00 3.65 .1764 1 1.00 3.71 .1765 1 1.00 3.45 .1766 1 1.00 3.50 .1767 1 1.00 3.67 .1768 1 1.00 3.59 .1769 1 1.00 3.64 .1770 1 1.00 3.77 .1771 1 1.00 3.40 .1772 1 1.00 3.54 .1773 1 1.00 3.50 .1774 1 1.00 3.55 .1775 1 1.00 3.52 .1776 1 1.00 3.53 .1777 1 1.00 3.63 .1778 1 1.00 3.48 .1779 1 1.00 3.43 .1780 1 1.00 3.43 .1781 1 1.00 3.53 .1782 1 1.00 3.63 .1783 1 1.00 3.72 .1784 1 1.00 3.66 .1785 1 1.00 3.62 .1786 1 1.00 3.60 .1787 1 1.00 3.66 .1788 1 1.00 3.72 .1789 1 1.00 3.62 .1790 1 1.00 3.51 .1791 1 1.00 3.59 .1792 1 1.00 3.55 .1793 1 1.00 3.55 .1794 1 1.00 3.53 .1795 1 1.00 3.71 .1796 1 1.00 3.55 .1797 1 1.00 3.54 .1798 1 1.00 3.62 .1799 2 1.00 3.68 .1800 2 1.00 3.95 .1801 2 1.00 3.62 .1802 1 1.00 3.72 .1803 2 1.00 3.68 .1804 2 1.00 3.70 .1805 2 1.00 3.75 .1806 2 1.00 3.90 .1807 1 1.00 4.04 .1808 1 1.00 3.71 .1809 1 1.00 3.69 .1810 1 1.00 3.57 .1811 1 1.00 3.79 .1812 1 1.00 3.56 .1813 1 1.00 3.64 .1814 1 1.00 3.88 .1815 5 1.00 3.88 .1816 1 1.00 4.32 .1817 1 1.00 3.64 .1818 1 1.00 3.51 .1819 1 1.00 3.91 .1820 1 1.00 3.61 .1821 1 1.00 3.67 .1822 1 1.00 3.58 .1823 1 1.00 3.56 .1824 1 1.00 3.60 .1825 2 1.00 3.60 .1826 1 1.00 3.66 .1827 1 1.00 3.60 .1828 1 1.00 3.66 .1829 1 1.00 3.65 .1830 1 1.00 3.87 .1831 1 1.00 3.80 .1832 1 1.00 3.63 .1833 1 1.00 3.67 .1834 1 1.00 3.58 .1835 1 1.00 3.70 .1836 1 1.00 3.71 .1837 1 1.00 3.70 .1838 1 1.00 3.65 .1839 1 1.00 3.83 .1840 1 1.00 3.59 .1841 1 1.00 3.63 .1842 1 1.00 3.76 .1843 1 1.00 3.66 .1844 1 1.00 3.61 .1845 1 1.00 3.71 .1846 1 1.00 3.56 .1847 1 1.00 3.63 .1848 1 1.00 3.50 .1849 2 1.00 3.77 .1850 3 1.00 4.23 .1851 1 1.00 3.72 .1852 1 1.00 3.66 .1853 1 1.00 3.47 .1854 1 1.00 3.72 .1855 1 1.00 3.88 .1856 1 1.00 3.70 .1857 1 1.00 3.81 .1858 1 1.00 3.72 .1859 1 1.00 3.65 .1860 1 1.00 3.61 .1861 2 1.00 3.91 .1862 1 1.00 4.24 .1863 1 1.00 3.56 .1864 1 1.00 3.61 .1865 1 1.00 3.79 .1866 1 1.00 3.59 .1867 1 1.00 3.54 .1868 1 1.00 3.57 .1869 1 1.00 3.66 .1870 1 1.00 3.55 .1871 1 1.00 3.61 .1872 1 1.00 3.60 .1873 1 1.00 3.76 .1874 1 1.00 3.67 .1875 1 1.00 3.77 .1876 1 1.00 3.69 .1877 2 1.00 3.86 .1878 2 1.00 3.70 .1879 1 1.00 3.71 .1880 1 1.00 3.52 .1881 1 1.00 3.69 .1882 1 1.00 3.86 .1883 1 1.00 3.57 .1884 1 1.00 3.58 .1885 1 1.00 3.66 .1886 1 1.00 3.45 .1887 2 1.00 3.47 .1888 1 1.00 3.90 .1889 1 1.00 3.82 .1890 1 1.00 3.76 .1891 2 1.00 3.75 .1892 3 1.00 3.62 .1893 1 1.00 4.10 .1894 1 1.00 3.48 .1895 1 1.00 3.55 .1896 1 1.00 3.55 .1897 1 1.00 3.71 .1898 1 1.00 3.54 .1899 1 1.00 3.56 .1900 1 1.00 3.31 .1901 1 1.00 3.40 .1902 1 1.00 3.50 .1903 1 1.00 3.54 .1904 2 1.00 3.51 .1905 1 1.00 3.44 .1906 1 1.00 3.52 .1907 1 1.00 3.40 .1908 1 1.00 3.57 .1909 1 1.00 3.49 .1910 2 1.00 3.46 .1911 1 1.00 3.45 .1912 1 1.00 3.44 .1913 2 1.00 3.46 .1914 2 1.00 3.55 .1915 1 1.00 3.40 .1916 1 1.00 3.40 .1917 1 1.00 3.47 .1918 1 1.00 3.50 .1919 1 1.00 3.44 .1920 1 1.00 3.65 .1921 1 1.00 3.28 .1922 1 1.00 3.32 .1923 1 1.00 3.36 .1924 1 1.00 3.10 .1925 1 1.00 3.28 .1926 1 1.00 3.29 .1927 1 1.00 3.28 .1928 1 1.00 3.57 .1929 1 1.00 3.24 .1930 1 1.00 3.42 .1931 1 1.00 3.38 .1932 1 1.00 3.27 .1933 1 1.00 3.07 .1934 1 1.00 3.45 .1935 1 1.00 3.45 .1936 1 1.00 3.32 .1937 1 1.00 3.44 .1938 1 1.00 3.33 .1939 1 1.00 3.33 .1940 1 1.00 3.38 .1941 1 1.00 3.31 .1942 1 1.00 3.30 .1943 1 1.00 3.16 .1944 1 1.00 3.16 .1945 1 1.00 3.17 .1946 1 1.00 3.30 .1947 1 1.00 3.41 .1948 1 1.00 3.12 .1949 1 1.00 3.20 .1950 1 1.00 3.32 .1951 1 1.00 3.22 .1952 1 1.00 3.29 .1953 1 1.00 3.28 .1954 1 1.00 3.12 .1955 1 1.00 3.17 .1956 1 1.00 3.15 .1957 1 1.00 3.34 .1958 1 1.00 3.39 .1959 1 1.00 3.31 .1960 1 1.00 3.25 .1961 1 1.00 3.66 .1962 2 1.00 3.48 .1963 2 1.00 3.02 .1964 1 1.00 3.20 .1965 1 1.00 3.08 .1966 1 1.00 3.17 .1967 1 1.00 3.12 .1968 1 1.00 3.09 .1969 1 1.00 3.00 .1970 1 1.00 3.09 .1971 1 1.00 3.13 .1972 1 1.00 2.88 .1973 1 1.00 3.12 .1974 1 1.00 3.03 .1975 1 1.00 3.07 .1976 1 1.00 3.06 .1977 1 1.00 3.01 .1978 1 1.00 3.01 .1979 2 1.00 3.11 .1980 1 1.00 2.98 .1981 1 1.00 3.01 .1982 1 1.00 3.32 .1983 1 1.00 2.95 .1984 1 1.00 2.93 .1985 1 1.00 3.06 .1986 1 1.00 2.90 .1987 1 1.00 2.92 .1988 1 1.00 2.87 .1989 1 1.00 2.89 .1990 1 1.00 2.71 .1991 1 1.00 3.08 .1992 1 1.00 2.89 .1993 1 1.00 2.98 .1994 1 1.00 2.86 .1995 1 1.00 2.77 .1996 1 1.00 2.84 .1997 1 1.00 2.78 .1998 2 1.00 2.85 .1999 1 1.00 2.82 .2000 1 1.00 2.68 .2001 1 1.00 2.80 .2002 1 1.00 2.83 .2003 1 1.00 2.69 .2004 1 1.00 2.74 .2005 1 1.00 2.91 .2006 1 1.00 2.87 .2007 1 1.00 3.09 .2008 1 1.00 2.69 .2009 1 1.00 2.78 .2010 1 1.00 2.77 .2011 1 1.00 3.08 .2012 1 1.00 2.73 .2013 1 1.00 2.65 .2014 1 1.00 2.74 .2015 1 1.00 2.79 .2016 1 1.00 2.72 .2017 2 1.00 2.79 .2018 1 1.00 2.59 .2019 1 1.00 2.63 .2020 1 1.00 2.67 .2021 2 1.00 2.81 .2022 1 1.00 2.79 .2023 1 1.00 2.55 .2024 1 1.00 2.61 .2025 1 1.00 2.62 .2026 2 1.00 3.08 .2027 1 1.00 2.70 .2028 1 1.00 2.58 .2029 1 1.00 2.58 .2030 1 1.00 2.97 .2031 1 1.00 2.48 .2032 1 1.00 2.47 .2033 1 1.00 2.48 .2034 1 1.00 2.44 .2035 1 1.00 2.43 .2036 1 1.00 2.53 .2037 1 1.00 2.51 .2038 1 1.00 2.52 .2039 1 1.00 2.54 .2040 1 1.00 2.50 .2041 1 1.00 2.38 .2042 1 1.00 2.49 .2043 1 1.00 2.48 .2044 1 1.00 2.47 .2045 1 1.00 2.50 .2046 1 1.00 2.60 .2047 1 1.00 2.32 EXTRACT_IMAGE: b2: masked 136 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITFLATWIDTH: b2: Median spatial widths = 0.92 0.93 0.91 0.91 pix (LL LR UL UR) SPCALIB: b2: Using Cubic, median chi squareds: vs SPCALIB: b2: Found 0 bright pixels in extracted flat sdR-b2-00034756.fit SPCALIB: b2: Extracting arc # 1 of 2 SPCALIB: b2: Reading arc sdR-b2-00034751.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.83225 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1224.11 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1205. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.25976 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1197.59 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1181. DN is 0 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Fraction of bad pixels in arc = 3.60012e-05 SPCALIB: b2: Arc sdR-b2-00034751.fit paired with flat sdR-b2-00034750.fit MATCH_TRACE: b2: Iteration: 0 Pixels Rejected: 3122 Finished? 0 MATCH_TRACE: b2: Iteration: 1 Pixels Rejected: 113 Finished? 0 MATCH_TRACE: b2: Iteration: 2 Pixels Rejected: 10 Finished? 0 MATCH_TRACE: b2: Iteration: 3 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: b2: Iteration: 4 Pixels Rejected: 0 Finished? 1 SPCALIB: b2: Shifting traces with match_trace 0.00354004 SPCALIB: b2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.04 .0001 1 0.91 0.98 .0002 1 0.91 0.99 .0003 1 0.91 1.23 .0004 1 0.91 1.38 .0005 1 0.91 2.07 .0006 1 0.91 2.26 .0007 1 0.91 2.14 .0008 1 0.91 1.84 .0009 1 0.91 1.63 .0010 1 0.91 1.50 .0011 1 0.91 1.53 .0012 1 0.91 1.41 .0013 1 0.91 1.17 .0014 2 0.91 1.08 .0015 2 0.91 1.12 .0016 3 0.91 1.05 .0017 1 0.91 0.99 .0018 1 0.91 1.12 .0019 1 0.91 1.41 .0020 1 0.91 2.07 .0021 1 0.91 5.48 .0022 1 0.91 4.11 .0023 1 0.91 8.01 .0024 1 0.91 5.83 .0025 1 0.91 4.95 .0026 1 0.91 3.99 .0027 1 0.91 3.99 .0028 1 0.91 3.66 .0029 2 0.91 2.63 .0030 1 0.91 1.92 .0031 1 0.91 1.13 .0032 1 0.91 0.96 .0033 1 0.91 1.03 .0034 1 0.91 0.99 .0035 1 0.91 0.99 .0036 1 0.91 0.98 .0037 1 0.91 0.92 .0038 1 0.91 0.91 .0039 1 0.91 0.96 .0040 1 0.91 0.94 .0041 1 0.91 0.94 .0042 1 0.91 1.01 .0043 1 0.91 0.98 .0044 1 0.91 0.91 .0045 1 0.91 0.97 .0046 1 0.91 0.99 .0047 1 0.91 0.94 .0048 1 0.91 0.91 .0049 1 0.91 0.95 .0050 1 0.91 0.97 .0051 1 0.91 1.05 .0052 1 0.91 0.92 .0053 1 0.91 1.03 .0054 1 0.91 0.92 .0055 1 0.91 1.06 .0056 3 0.91 1.18 .0057 1 0.91 1.52 .0058 1 0.91 2.11 .0059 1 0.91 2.02 .0060 1 0.91 2.55 .0061 1 0.91 2.15 .0062 1 0.91 2.15 .0063 1 0.91 1.87 .0064 1 0.91 1.62 .0065 1 0.91 1.62 .0066 1 0.91 1.37 .0067 1 0.91 1.18 .0068 1 0.91 1.03 .0069 1 0.91 0.94 .0070 1 0.91 1.01 .0071 1 0.91 0.94 .0072 1 0.91 0.91 .0073 1 0.91 0.96 .0074 1 0.91 1.27 .0075 1 0.91 1.70 .0076 1 0.91 2.53 .0077 1 0.91 2.36 .0078 1 0.91 2.28 .0079 1 0.91 2.07 .0080 1 0.91 1.98 .0081 1 0.91 1.93 .0082 3 0.91 1.47 .0083 2 0.91 1.41 .0084 2 0.91 1.27 .0085 1 0.91 1.05 .0086 1 0.91 0.96 .0087 1 0.91 0.97 .0088 1 0.91 0.92 .0089 1 0.91 0.94 .0090 1 0.91 0.98 .0091 1 0.91 0.90 .0092 2 0.91 1.05 .0093 1 0.91 0.95 .0094 1 0.91 0.93 .0095 1 0.91 0.95 .0096 1 0.91 0.98 .0097 1 0.91 1.04 .0098 1 0.91 0.92 .0099 1 0.91 0.94 .0100 1 0.91 0.99 .0101 1 0.91 0.95 .0102 1 0.91 0.92 .0103 1 0.91 0.91 .0104 1 0.91 0.94 .0105 1 0.91 0.94 .0106 1 0.91 1.00 .0107 1 0.91 0.92 .0108 1 0.91 1.04 .0109 3 0.91 1.20 .0110 2 0.91 1.29 .0111 1 0.91 1.54 .0112 1 0.91 1.41 .0113 1 0.91 1.61 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1.03 .1168 1 0.93 0.93 .1169 1 0.93 0.89 .1170 1 0.93 0.91 .1171 4 0.93 1.03 .1172 3 0.93 0.90 .1173 1 0.93 0.97 .1174 3 0.93 0.93 .1175 1 0.93 0.94 .1176 1 0.93 0.90 .1177 1 0.93 0.90 .1178 1 0.93 1.05 .1179 2 0.93 0.99 .1180 1 0.93 0.85 .1181 1 0.93 0.94 .1182 1 0.92 0.91 .1183 1 0.92 0.93 .1184 1 0.92 0.88 .1185 2 0.92 0.95 .1186 1 0.92 0.91 .1187 1 0.92 0.92 .1188 1 0.92 0.92 .1189 1 0.92 0.89 .1190 1 0.92 0.93 .1191 1 0.92 0.91 .1192 1 0.92 1.05 .1193 3 0.92 0.93 .1194 1 0.92 0.86 .1195 1 0.92 0.91 .1196 1 0.92 0.94 .1197 2 0.92 0.90 .1198 3 0.92 0.99 .1199 1 0.92 0.92 .1200 1 0.92 0.96 .1201 1 0.92 0.86 .1202 3 0.92 0.97 .1203 3 0.92 0.86 .1204 2 0.92 1.44 .1205 4 0.92 1.08 .1206 3 0.92 0.98 .1207 1 0.92 1.09 .1208 1 0.92 0.91 .1209 1 0.92 0.88 .1210 2 0.92 0.92 .1211 2 0.92 0.95 .1212 1 0.92 0.92 .1213 1 0.92 0.89 .1214 1 0.92 0.82 .1215 1 0.92 0.91 .1216 1 0.92 0.88 .1217 1 0.92 0.88 .1218 1 0.92 0.92 .1219 1 0.92 0.96 .1220 1 0.92 0.87 .1221 1 0.92 0.87 .1222 1 0.92 0.94 .1223 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1 0.92 0.92 .1335 1 0.92 0.95 .1336 1 0.92 0.95 .1337 1 0.92 0.91 .1338 1 0.92 0.97 .1339 1 0.92 0.93 .1340 1 0.92 0.98 .1341 1 0.92 0.97 .1342 1 0.92 0.96 .1343 1 0.92 0.97 .1344 1 0.92 0.92 .1345 1 0.92 0.96 .1346 1 0.92 0.97 .1347 1 0.92 0.96 .1348 1 0.92 0.91 .1349 1 0.92 0.91 .1350 3 0.92 0.93 .1351 3 0.92 0.92 .1352 3 0.92 0.92 .1353 1 0.92 0.94 .1354 1 0.92 0.97 .1355 1 0.92 0.93 .1356 1 0.92 0.92 .1357 1 0.92 0.95 .1358 1 0.92 0.97 .1359 1 0.92 0.90 .1360 1 0.92 0.96 .1361 1 0.92 0.92 .1362 1 0.92 0.94 .1363 1 0.92 0.95 .1364 1 0.92 0.95 .1365 1 0.92 0.91 .1366 1 0.92 0.91 .1367 1 0.92 0.94 .1368 1 0.92 0.83 .1369 1 0.92 0.95 .1370 1 0.92 0.94 .1371 1 0.92 0.95 .1372 2 0.92 1.04 .1373 2 0.92 1.02 .1374 2 0.92 0.96 .1375 2 0.92 0.96 .1376 2 0.92 0.97 .1377 1 0.92 0.98 .1378 1 0.92 0.93 .1379 1 0.92 0.92 .1380 2 0.92 0.98 .1381 2 0.92 0.88 .1382 1 0.92 1.01 .1383 1 0.92 0.96 .1384 2 0.92 0.92 .1385 1 0.92 0.95 .1386 1 0.92 0.93 .1387 1 0.92 0.95 .1388 1 0.92 0.93 .1389 1 0.92 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1 0.91 1.12 .1446 2 0.91 1.05 .1447 1 0.91 1.06 .1448 1 0.91 0.96 .1449 1 0.91 0.97 .1450 1 0.91 0.99 .1451 1 0.91 0.98 .1452 2 0.91 0.95 .1453 1 0.91 1.04 .1454 3 0.91 0.95 .1455 3 0.91 0.99 .1456 1 0.91 0.94 .1457 2 0.91 1.09 .1458 1 0.91 1.03 .1459 1 0.91 0.94 .1460 1 0.91 1.05 .1461 1 0.91 0.93 .1462 1 0.91 1.01 .1463 1 0.91 0.92 .1464 1 0.91 0.93 .1465 1 0.91 0.93 .1466 1 0.91 0.99 .1467 1 0.91 0.99 .1468 1 0.91 0.96 .1469 1 0.91 0.95 .1470 1 0.91 0.96 .1471 1 0.91 0.99 .1472 1 0.91 0.95 .1473 1 0.91 0.95 .1474 1 0.91 0.98 .1475 1 0.91 0.96 .1476 1 0.91 0.96 .1477 1 0.91 0.97 .1478 1 0.91 1.01 .1479 1 0.91 1.00 .1480 1 0.91 1.05 .1481 1 0.91 0.99 .1482 2 0.91 1.11 .1483 3 0.91 1.22 .1484 2 0.91 1.06 .1485 3 0.91 0.96 .1486 1 0.91 1.15 .1487 1 0.91 1.03 .1488 1 0.91 0.98 .1489 1 0.91 0.96 .1490 1 0.91 1.02 .1491 1 0.91 1.04 .1492 1 0.91 0.98 .1493 1 0.91 1.02 .1494 1 0.91 1.03 .1495 1 0.91 1.04 .1496 1 0.91 1.09 .1497 1 0.91 1.07 .1498 1 0.91 1.04 .1499 1 0.91 1.08 .1500 1 0.91 1.12 .1501 1 0.91 0.99 .1502 1 0.91 1.10 .1503 1 0.91 1.05 .1504 1 0.91 1.07 .1505 1 0.91 1.06 .1506 1 0.91 1.08 .1507 1 0.91 1.14 .1508 1 0.91 1.15 .1509 1 0.91 1.32 .1510 1 0.91 1.45 .1511 1 0.91 1.63 .1512 1 0.91 1.74 .1513 2 0.91 1.89 .1514 1 0.91 2.08 .1515 1 0.91 8.51 .1516 1 0.91 9.24 .1517 1 0.91 14.25 .1518 1 0.91 22.60 .1519 1 0.91 24.18 .1520 1 0.91 18.93 .1521 1 0.91 13.56 .1522 1 0.91 11.02 .1523 1 0.91 9.62 .1524 1 0.91 9.18 .1525 1 0.91 9.28 .1526 1 0.91 8.50 .1527 1 0.91 7.01 .1528 1 0.91 6.39 .1529 1 0.91 6.68 .1530 1 0.91 5.80 .1531 1 0.91 6.03 .1532 1 0.91 6.29 .1533 1 0.91 6.23 .1534 1 0.91 5.87 .1535 1 0.91 4.78 .1536 1 0.91 4.63 .1537 1 0.91 3.87 .1538 1 0.91 3.17 .1539 1 0.91 1.80 .1540 1 0.91 1.27 .1541 3 0.91 1.29 .1542 1 0.91 1.42 .1543 1 0.91 1.21 .1544 1 0.91 1.11 .1545 1 0.91 1.05 .1546 1 0.91 1.09 .1547 2 0.91 1.06 .1548 1 0.91 1.13 .1549 1 0.91 1.10 .1550 2 0.91 1.06 .1551 1 0.91 1.10 .1552 1 0.91 1.03 .1553 1 0.91 1.03 .1554 1 0.91 1.03 .1555 1 0.91 1.01 .1556 1 0.91 1.06 .1557 1 0.91 1.06 .1558 1 0.91 0.96 .1559 1 0.91 1.08 .1560 1 0.91 1.01 .1561 1 0.91 1.04 .1562 1 0.91 1.06 .1563 1 0.91 1.07 .1564 1 0.91 1.02 .1565 1 0.91 0.97 .1566 1 0.91 1.02 .1567 1 0.91 1.00 .1568 1 0.91 1.02 .1569 1 0.91 0.98 .1570 1 0.91 0.94 .1571 1 0.91 1.04 .1572 1 0.91 0.98 .1573 1 0.91 0.98 .1574 1 0.91 1.00 .1575 1 0.91 0.99 .1576 1 0.91 1.03 .1577 1 0.91 1.01 .1578 1 0.91 1.01 .1579 1 0.91 0.97 .1580 1 0.91 1.00 .1581 1 0.91 1.04 .1582 1 0.91 0.98 .1583 1 0.91 1.03 .1584 1 0.91 0.95 .1585 1 0.91 0.99 .1586 1 0.91 1.06 .1587 1 0.91 0.97 .1588 1 0.91 1.04 .1589 1 0.91 0.93 .1590 1 0.91 1.00 .1591 1 0.91 0.97 .1592 3 0.91 0.96 .1593 1 0.91 1.04 .1594 1 0.91 1.02 .1595 1 0.91 0.98 .1596 1 0.91 0.99 .1597 1 0.91 0.95 .1598 1 0.91 0.94 .1599 1 0.91 0.95 .1600 1 0.91 1.00 .1601 1 0.91 1.06 .1602 3 0.91 1.02 .1603 3 0.91 0.99 .1604 1 0.91 0.95 .1605 1 0.91 0.95 .1606 1 0.91 1.00 .1607 1 0.91 0.90 .1608 1 0.91 0.95 .1609 1 0.91 0.98 .1610 2 0.91 0.94 .1611 1 0.91 0.95 .1612 1 0.91 0.95 .1613 1 0.91 0.98 .1614 1 0.91 0.96 .1615 1 0.91 0.94 .1616 1 0.91 1.01 .1617 1 0.91 0.94 .1618 1 0.91 0.93 .1619 1 0.91 0.96 .1620 1 0.91 0.98 .1621 1 0.91 0.99 .1622 3 0.91 0.97 .1623 1 0.91 1.00 .1624 1 0.91 1.10 .1625 2 0.91 1.07 .1626 3 0.91 0.91 .1627 3 0.91 0.97 .1628 3 0.91 0.93 .1629 3 0.91 0.90 .1630 2 0.91 1.07 .1631 2 0.91 1.10 .1632 1 0.91 0.99 .1633 1 0.91 1.03 .1634 1 0.91 1.00 .1635 1 0.91 1.00 .1636 1 0.91 1.02 .1637 3 0.91 0.97 .1638 3 0.91 0.95 .1639 1 0.91 0.95 .1640 1 0.91 0.93 .1641 1 0.91 0.92 .1642 1 0.91 0.95 .1643 1 0.91 1.02 .1644 1 0.91 0.99 .1645 1 0.91 0.94 .1646 1 0.91 0.98 .1647 1 0.91 0.97 .1648 1 0.91 0.95 .1649 1 0.91 0.95 .1650 1 0.91 0.93 .1651 1 0.91 0.89 .1652 1 0.91 0.99 .1653 1 0.91 0.99 .1654 1 0.91 1.02 .1655 1 0.91 1.00 .1656 1 0.91 0.97 .1657 1 0.91 1.01 .1658 1 0.91 0.92 .1659 1 0.91 1.00 .1660 1 0.91 0.95 .1661 1 0.91 0.97 .1662 1 0.91 0.94 .1663 1 0.91 0.94 .1664 1 0.91 0.91 .1665 1 0.91 0.99 .1666 1 0.91 0.92 .1667 1 0.91 0.99 .1668 1 0.91 0.90 .1669 3 0.91 1.11 .1670 2 0.91 1.05 .1671 1 0.91 0.98 .1672 1 0.91 0.98 .1673 2 0.91 1.01 .1674 3 0.91 0.95 .1675 3 0.91 0.95 .1676 1 0.91 0.93 .1677 1 0.91 0.99 .1678 1 0.91 0.93 .1679 1 0.91 1.00 .1680 1 0.91 0.98 .1681 1 0.91 0.94 .1682 1 0.91 0.96 .1683 1 0.91 0.95 .1684 1 0.91 0.97 .1685 3 0.91 0.96 .1686 2 0.91 0.99 .1687 1 0.91 0.94 .1688 1 0.91 0.95 .1689 1 0.91 0.95 .1690 1 0.91 0.93 .1691 1 0.91 0.89 .1692 1 0.91 0.97 .1693 1 0.91 0.95 .1694 3 0.91 1.01 .1695 1 0.91 1.05 .1696 1 0.91 0.96 .1697 1 0.91 0.99 .1698 1 0.91 0.90 .1699 1 0.91 1.02 .1700 1 0.91 0.94 .1701 1 0.91 0.94 .1702 1 0.91 0.94 .1703 3 0.91 1.14 .1704 2 0.91 1.09 .1705 2 0.91 1.10 .1706 1 0.91 0.93 .1707 1 0.91 0.96 .1708 1 0.91 0.95 .1709 1 0.91 0.97 .1710 1 0.91 0.97 .1711 1 0.91 0.98 .1712 1 0.91 0.95 .1713 1 0.91 0.95 .1714 1 0.91 0.87 .1715 1 0.91 0.89 .1716 1 0.91 0.92 .1717 1 0.91 0.93 .1718 1 0.91 0.99 .1719 1 0.91 0.96 .1720 1 0.91 0.94 .1721 1 0.91 1.00 .1722 1 0.91 1.01 .1723 1 0.91 1.00 .1724 1 0.91 1.04 .1725 1 0.91 1.05 .1726 2 0.91 0.99 .1727 1 0.91 1.05 .1728 1 0.91 0.96 .1729 1 0.91 1.05 .1730 1 0.91 1.03 .1731 1 0.91 0.93 .1732 1 0.91 1.08 .1733 2 0.91 1.16 .1734 3 0.91 1.05 .1735 1 0.91 1.07 .1736 3 0.91 0.95 .1737 1 0.91 1.06 .1738 3 0.91 0.98 .1739 1 0.91 1.03 .1740 1 0.91 0.98 .1741 1 0.91 0.93 .1742 1 0.91 0.98 .1743 1 0.91 0.96 .1744 1 0.91 0.91 .1745 1 0.91 1.12 .1746 3 0.91 0.94 .1747 1 0.91 0.87 .1748 1 0.91 0.96 .1749 1 0.91 0.93 .1750 1 0.91 1.01 .1751 1 0.91 0.98 .1752 1 0.91 0.98 .1753 1 0.91 0.94 .1754 2 0.91 1.05 .1755 1 0.91 1.12 .1756 1 0.91 1.00 .1757 1 0.91 0.95 .1758 1 0.91 0.98 .1759 1 0.91 0.96 .1760 1 0.91 1.02 .1761 2 0.91 0.94 .1762 1 0.91 0.97 .1763 1 0.91 0.97 .1764 1 0.91 1.02 .1765 1 0.91 0.99 .1766 1 0.91 1.00 .1767 1 0.91 0.92 .1768 1 0.91 0.98 .1769 1 0.91 0.96 .1770 1 0.91 0.97 .1771 1 0.91 0.95 .1772 1 0.91 0.92 .1773 1 0.91 0.97 .1774 2 0.91 0.98 .1775 2 0.91 1.02 .1776 2 0.91 1.05 .1777 1 0.91 1.05 .1778 3 0.91 1.25 .1779 1 0.91 1.48 .1780 1 0.91 1.53 .1781 1 0.91 1.78 .1782 1 0.91 1.82 .1783 1 0.91 1.50 .1784 1 0.91 1.47 .1785 1 0.91 1.35 .1786 1 0.91 1.31 .1787 1 0.91 1.21 .1788 1 0.91 1.29 .1789 1 0.91 1.27 .1790 3 0.91 1.30 .1791 3 0.91 1.23 .1792 4 0.91 1.20 .1793 3 0.91 1.27 .1794 1 0.91 1.23 .1795 1 0.91 1.23 .1796 1 0.91 1.26 .1797 1 0.91 1.21 .1798 1 0.91 1.24 .1799 1 0.91 1.18 .1800 1 0.91 1.16 .1801 2 0.91 1.17 .1802 2 0.91 1.18 .1803 1 0.91 1.21 .1804 1 0.91 1.26 .1805 1 0.91 1.22 .1806 1 0.91 1.18 .1807 1 0.91 1.27 .1808 2 0.91 4.61 .1809 1 0.91 5.55 .1810 1 0.91 9.68 .1811 2 0.91 16.77 .1812 1 0.91 17.12 .1813 1 0.91 12.57 .1814 1 0.91 10.19 .1815 1 0.91 8.25 .1816 1 0.91 7.97 .1817 1 0.91 7.10 .1818 1 0.91 6.42 .1819 1 0.91 6.82 .1820 1 0.91 7.22 .1821 1 0.91 5.26 .1822 1 0.92 5.14 .1823 1 0.92 5.18 .1824 1 0.92 5.34 .1825 1 0.92 4.86 .1826 1 0.92 5.53 .1827 1 0.92 5.50 .1828 1 0.92 5.24 .1829 1 0.92 4.93 .1830 1 0.92 4.47 .1831 1 0.92 4.12 .1832 1 0.92 3.91 .1833 1 0.92 3.53 .1834 1 0.92 3.02 .1835 2 0.92 1.79 .1836 1 0.92 1.11 .1837 1 0.92 1.05 .1838 1 0.92 1.03 .1839 1 0.92 1.02 .1840 1 0.92 1.03 .1841 1 0.92 0.94 .1842 1 0.92 0.97 .1843 1 0.92 1.02 .1844 1 0.92 1.03 .1845 1 0.92 1.01 .1846 1 0.92 1.01 .1847 1 0.92 0.96 .1848 3 0.92 1.10 .1849 1 0.92 1.20 .1850 3 0.92 0.98 .1851 1 0.92 1.10 .1852 1 0.92 1.02 .1853 1 0.92 1.02 .1854 1 0.92 0.98 .1855 1 0.92 0.95 .1856 1 0.92 0.98 .1857 2 0.92 1.01 .1858 2 0.92 0.96 .1859 1 0.92 1.07 .1860 3 0.92 0.98 .1861 1 0.92 1.02 .1862 1 0.92 0.95 .1863 1 0.92 1.12 .1864 2 0.92 1.08 .1865 1 0.92 0.95 .1866 1 0.92 1.00 .1867 1 0.92 0.92 .1868 1 0.92 0.96 .1869 1 0.92 0.96 .1870 1 0.92 1.08 .1871 2 0.92 1.00 .1872 1 0.92 1.01 .1873 1 0.92 1.02 .1874 2 0.92 0.97 .1875 2 0.92 1.06 .1876 2 0.92 1.11 .1877 1 0.92 0.96 .1878 2 0.92 1.15 .1879 2 0.92 1.16 .1880 1 0.92 0.92 .1881 1 0.92 0.93 .1882 1 0.92 0.96 .1883 1 0.92 0.93 .1884 1 0.92 0.97 .1885 1 0.92 0.91 .1886 1 0.92 0.98 .1887 1 0.92 0.96 .1888 1 0.92 0.95 .1889 1 0.92 0.94 .1890 1 0.92 0.98 .1891 1 0.92 0.88 .1892 1 0.92 0.96 .1893 1 0.92 0.93 .1894 1 0.92 0.98 .1895 1 0.92 0.99 .1896 1 0.92 0.96 .1897 1 0.92 0.97 .1898 1 0.92 0.92 .1899 1 0.92 0.91 .1900 1 0.92 1.03 .1901 3 0.92 1.08 .1902 1 0.92 0.91 .1903 1 0.92 0.96 .1904 1 0.92 0.86 .1905 1 0.92 0.88 .1906 1 0.92 0.89 .1907 2 0.92 1.04 .1908 2 0.92 0.97 .1909 1 0.92 0.89 .1910 1 0.92 0.97 .1911 1 0.92 0.97 .1912 1 0.92 0.97 .1913 1 0.92 0.93 .1914 1 0.92 0.93 .1915 1 0.92 0.92 .1916 1 0.92 0.96 .1917 1 0.92 0.90 .1918 1 0.92 0.87 .1919 1 0.92 0.88 .1920 1 0.92 0.98 .1921 1 0.92 0.92 .1922 1 0.92 1.02 .1923 3 0.92 0.93 .1924 3 0.92 0.93 .1925 1 0.92 0.98 .1926 1 0.92 0.95 .1927 1 0.92 0.90 .1928 1 0.92 0.92 .1929 1 0.92 0.99 .1930 1 0.92 0.88 .1931 1 0.92 0.92 .1932 1 0.92 0.90 .1933 1 0.93 0.94 .1934 1 0.93 0.93 .1935 2 0.93 0.93 .1936 2 0.93 0.92 .1937 1 0.93 0.93 .1938 1 0.93 0.93 .1939 1 0.93 0.91 .1940 1 0.93 0.92 .1941 1 0.93 0.99 .1942 1 0.93 0.88 .1943 1 0.93 0.88 .1944 1 0.93 0.94 .1945 1 0.93 0.90 .1946 1 0.93 0.97 .1947 1 0.93 0.97 .1948 2 0.93 0.97 .1949 2 0.93 0.93 .1950 1 0.93 0.91 .1951 1 0.93 0.98 .1952 1 0.93 0.97 .1953 1 0.93 0.96 .1954 1 0.93 0.94 .1955 1 0.93 0.95 .1956 1 0.93 0.99 .1957 1 0.93 0.99 .1958 2 0.93 0.98 .1959 1 0.93 0.94 .1960 1 0.93 0.98 .1961 1 0.93 0.99 .1962 2 0.93 0.92 .1963 1 0.93 1.08 .1964 2 0.93 1.12 .1965 3 0.93 0.93 .1966 2 0.93 1.12 .1967 1 0.93 0.90 .1968 1 0.93 0.93 .1969 1 0.93 0.92 .1970 1 0.93 0.92 .1971 1 0.93 1.00 .1972 1 0.93 1.12 .1973 3 0.93 0.94 .1974 2 0.93 0.97 .1975 1 0.93 0.88 .1976 1 0.93 0.94 .1977 1 0.93 0.94 .1978 2 0.93 0.96 .1979 2 0.93 0.95 .1980 1 0.93 0.96 .1981 2 0.93 0.94 .1982 3 0.93 0.97 .1983 1 0.93 0.91 .1984 1 0.93 0.91 .1985 1 0.93 0.87 .1986 1 0.93 0.96 .1987 1 0.93 0.90 .1988 2 0.93 0.92 .1989 1 0.93 0.95 .1990 1 0.93 0.92 .1991 1 0.93 0.90 .1992 2 0.93 0.98 .1993 1 0.93 1.06 .1994 1 0.93 0.89 .1995 2 0.93 0.92 .1996 1 0.93 1.00 .1997 2 0.93 0.90 .1998 1 0.93 0.92 .1999 1 0.93 0.87 .2000 2 0.93 1.04 .2001 3 0.93 0.90 .2002 2 0.93 1.21 .2003 1 0.93 1.10 .2004 1 0.93 0.90 .2005 1 0.93 0.94 .2006 1 0.93 0.91 .2007 1 0.93 0.93 .2008 1 0.93 0.95 .2009 1 0.93 0.90 .2010 1 0.93 0.93 .2011 1 0.93 0.85 .2012 1 0.93 0.89 .2013 1 0.93 0.91 .2014 1 0.94 0.87 .2015 1 0.94 0.93 .2016 1 0.94 0.91 .2017 1 0.94 0.94 .2018 2 0.94 0.92 .2019 3 0.94 0.93 .2020 1 0.94 1.18 .2021 2 0.94 0.90 .2022 1 0.94 0.89 .2023 1 0.94 0.92 .2024 1 0.94 0.87 .2025 1 0.94 0.93 .2026 1 0.94 0.91 .2027 1 0.94 0.87 .2028 2 0.94 0.92 .2029 2 0.94 1.00 .2030 1 0.94 0.89 .2031 1 0.94 0.83 .2032 1 0.94 0.88 .2033 1 0.94 0.87 .2034 1 0.94 0.88 .2035 1 0.94 0.87 .2036 1 0.94 0.90 .2037 1 0.94 0.91 .2038 1 0.94 0.90 .2039 1 0.94 0.87 .2040 1 0.94 0.93 .2041 1 0.94 0.88 .2042 1 0.94 0.84 .2043 1 0.94 0.96 .2044 1 0.94 0.88 .2045 1 0.94 0.88 .2046 1 0.94 0.90 .2047 1 0.94 0.88 EXTRACT_IMAGE: b2: masked 475 pixels SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b2: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b2: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Searching about coefficients = 3.68951 -0.10542 -0.00419 0.00016 ARCFIT_ITER: b2: Searching lags from -146 to 145 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Initial wavelength fit = 3.68961 -0.10541 -0.00431 0.00020 ARCFIT_GUESS: b2: Initial correlation = 0.786429 FITARCIMAGE_GLOBAL: b2: Best correlation = 0.786429 FITARCIMAGE_GLOBAL: b2: ASET = 3.68961 -0.10541 -0.00431 0.00020 SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Iterating flux-weighted centers . 0 320 0.063 . 1 320 0.052 . 2 320 0.067 . 3 320 0.063 . 4 320 0.061 . 5 320 0.060 . 6 320 0.053 . 7 320 0.054 . 8 320 0.062 . 9 320 0.060 . 10 320 0.055 . 11 320 0.053 . 12 320 0.066 . 13 320 0.054 . 14 320 0.057 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 15 0 4.2868848 0.20324230 . 15 320 0.056 . 16 320 0.053 . 17 320 0.059 . 18 320 0.056 . 19 320 0.054 . 20 320 0.059 . 21 320 0.057 . 22 320 0.054 . 23 320 0.052 . 24 320 0.053 . 25 320 0.059 . 26 320 0.059 . 27 320 0.055 . 28 320 0.058 . 29 320 0.066 . 30 320 0.055 . 31 320 0.055 . 32 320 0.052 . 33 320 0.053 . 34 320 0.056 . 35 320 0.055 . 36 320 0.052 . 37 320 0.051 . 38 320 0.050 . 39 320 0.051 . 40 320 0.054 . 41 320 0.060 . 42 320 0.058 . 43 320 0.068 . 44 320 0.056 . 45 320 0.057 . 46 320 0.055 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 47 0 9.9751946 0.20065738 . 47 320 0.056 . 48 320 0.056 . 49 320 0.054 . 50 320 0.062 . 51 320 0.054 . 52 320 0.059 . 53 320 0.064 . 54 320 0.050 . 55 320 0.051 . 56 320 0.069 . 57 320 0.056 . 58 320 0.054 . 59 320 0.054 . 60 320 0.050 . 61 320 0.052 . 62 320 0.053 . 63 320 0.052 . 64 320 0.048 . 65 320 0.052 . 66 320 0.054 . 67 320 0.054 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 68 0 13.340647 0.20838609 . 68 320 0.059 . 69 320 0.057 . 70 320 0.048 . 71 320 0.053 . 72 320 0.053 . 73 320 0.051 . 74 320 0.055 . 75 320 0.055 . 76 320 0.058 . 77 320 0.058 . 78 320 0.060 . 79 320 0.055 . 80 320 0.052 . 81 320 0.062 . 82 320 0.055 . 83 320 0.056 . 84 320 0.053 . 85 320 0.051 . 86 320 0.057 . 87 320 0.057 . 88 320 0.062 . 89 320 0.054 . 90 320 0.056 . 91 320 0.056 . 92 320 0.049 . 93 320 0.050 . 94 320 0.050 . 95 320 0.050 . 96 320 0.053 . 97 320 0.057 . 98 320 0.051 . 99 320 0.054 . 100 320 0.050 . 101 320 0.057 . 102 320 0.062 . 103 320 0.059 . 104 320 0.053 . 105 320 0.054 . 106 320 0.052 . 107 320 0.056 . 108 320 0.052 . 109 320 0.051 . 110 320 0.054 . 111 320 0.053 . 112 320 0.053 . 113 320 0.051 . 114 320 0.057 . 115 320 0.050 . 116 320 0.060 . 117 320 0.053 . 118 320 0.051 . 119 320 0.051 . 120 320 0.050 . 121 320 0.053 . 122 320 0.051 . 123 320 0.055 . 124 320 0.048 . 125 320 0.062 . 126 320 0.053 . 127 320 0.049 . 128 320 0.053 . 129 320 0.055 . 130 320 0.056 . 131 320 0.057 . 132 320 0.054 . 133 320 0.055 . 134 320 0.052 . 135 320 0.050 . 136 320 0.054 . 137 320 0.054 . 138 320 0.053 . 139 320 0.052 . 140 320 0.054 . 141 320 0.056 . 142 320 0.061 . 143 320 0.049 . 144 320 0.052 . 145 320 0.048 . 146 320 0.053 . 147 320 0.051 . 148 320 0.053 . 149 320 0.053 . 150 320 0.054 . 151 320 0.056 . 152 320 0.059 . 153 320 0.054 . 154 320 0.048 . 155 320 0.052 . 156 320 0.054 . 157 320 0.054 . 158 320 0.054 . 159 320 0.066 . 160 320 0.053 . 161 320 0.054 . 162 320 0.057 . 163 320 0.054 . 164 320 0.055 . 165 320 0.053 . 166 320 0.065 . 167 320 0.054 . 168 320 0.059 . 169 320 0.054 . 170 320 0.055 . 171 320 0.060 . 172 320 0.048 . 173 320 0.058 . 174 320 0.059 . 175 320 0.054 . 176 320 0.056 . 177 320 0.056 . 178 320 0.053 . 179 320 0.052 . 180 320 0.055 . 181 320 0.052 . 182 320 0.052 . 183 320 0.055 . 184 320 0.054 . 185 320 0.048 . 186 320 0.049 . 187 320 0.051 . 188 320 0.056 . 189 320 0.056 . 190 320 0.056 . 191 320 0.058 . 192 320 0.051 . 193 320 0.054 . 194 320 0.051 . 195 320 0.051 . 196 320 0.050 . 197 320 0.049 . 198 320 0.057 . 199 320 0.055 . 200 320 0.047 . 201 320 0.053 . 202 320 0.052 . 203 320 0.057 . 204 320 0.054 . 205 320 0.058 . 206 320 0.058 . 207 320 0.056 . 208 320 0.057 . 209 320 0.058 . 210 320 0.050 . 211 320 0.056 . 212 320 0.052 . 213 320 0.055 . 214 320 0.056 . 215 320 0.057 . 216 320 0.055 . 217 320 0.054 . 218 320 0.052 . 219 320 0.056 . 220 320 0.055 . 221 320 0.055 . 222 320 0.050 . 223 320 0.055 . 224 320 0.060 . 225 320 0.051 . 226 320 0.052 . 227 320 0.055 . 228 320 0.051 . 229 320 0.055 . 230 320 0.059 . 231 320 0.053 . 232 320 0.052 . 233 320 0.055 . 234 320 0.060 . 235 320 0.060 . 236 320 0.059 . 237 320 0.050 . 238 320 0.055 . 239 320 0.054 . 240 320 0.055 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -9.2102536 2.7553895 1.0998554 -0.0000000 8.3479019 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 241 1 -26.294227 0.22486304 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -7.7616535 2.7320128 0.60527613 -0.0000000 8.6639279 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -24.142447 2.8746778 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -2.2928507 2.4538299 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -6.3621280 3.6314429 0.54026459 0.62640522 7.4704403 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 6 -6.1236776 3.3961541 0.54080202 -0.0000000 7.0383832 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -5.6195749 2.4822683 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -40.814137 3.2169620 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -12.849734 2.6307454 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -10.383715 2.6234194 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -6.5312182 2.5608519 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -2.6823016 2.5146556 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 13 -10.660113 2.8497894 0.33711721 -0.0000000 8.3985741 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -4.0018948 2.7899026 0.43918030 -0.0000000 8.7392357 1 . 241 320 0.105 . 242 320 0.053 . 243 320 0.056 . 244 320 0.053 . 245 320 0.056 . 246 320 0.051 . 247 320 0.051 . 248 320 0.050 . 249 320 0.054 . 250 320 0.054 . 251 320 0.051 . 252 320 0.056 . 253 320 0.054 . 254 320 0.054 . 255 320 0.062 . 256 320 0.048 . 257 320 0.051 . 258 320 0.052 . 259 320 0.051 . 260 320 0.051 . 261 320 0.055 . 262 320 0.054 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 0 1.5220500 2.7645217 0.47771071 -0.0000000 8.6382380 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -20.959301 2.8700978 0.41251051 -0.0000000 9.0012121 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -9.3700427 2.8137517 0.73263061 -0.0000000 8.1421833 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -29.481355 2.8267977 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -0.46094185 2.7829155 0.48019890 -0.0000000 8.4627070 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 5 -3.5262742 2.8165554 0.66297803 -0.0000000 8.3309223 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 6 -2.7108394 2.4798894 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -6.4517615 2.4659869 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -44.507043 3.1703240 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -16.948031 2.6007304 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -12.510988 2.9965254 0.43680480 -0.0000000 9.1977038 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 11 -6.2147202 2.5541446 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -6.2316091 2.4873707 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 13 -10.680672 2.8126126 0.38825968 -0.0000000 9.0571314 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 14 -2.5098425 2.4588296 0.0000000 0.0000000 0.0000000 3 . 263 320 0.086 . 264 320 0.056 . 265 320 0.052 . 266 320 0.052 . 267 320 0.061 . 268 320 0.057 . 269 320 0.064 . 270 320 0.055 . 271 320 0.058 . 272 320 0.060 . 273 320 0.054 . 274 320 0.050 . 275 320 0.053 . 276 320 0.057 . 277 320 0.053 . 278 320 0.067 . 279 320 0.054 . 280 320 0.054 . 281 320 0.051 . 282 320 0.062 . 283 320 0.062 . 284 320 0.053 . 285 320 0.058 . 286 320 0.058 . 287 320 0.059 . 288 320 0.055 . 289 320 0.055 . 290 320 0.059 . 291 320 0.055 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -2.3805128 3.4683863 0.90084876 -0.0000000 7.0612749 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 292 1 -25.569985 0.23677591 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -11.141275 3.4314031 0.62632318 -0.0000000 7.0975660 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -16.671802 3.6956501 0.65031281 -0.0000000 8.1655989 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -5.6584174 3.3803197 1.3066209 -0.0000000 6.8757540 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -4.8276020 2.8064497 0.30377025 -0.0000000 8.6936496 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -3.2019714 2.7900739 1.5530331 -0.0000000 8.5127725 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -6.3714261 2.8684838 0.57664734 -0.0000000 8.4560323 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 292 8 -74.477401 0.20718951 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -23.940676 3.5107753 0.41283786 -0.0000000 7.1982005 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -26.241410 2.9272717 0.61790835 -0.0000000 9.1414529 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 11 -12.050450 2.5031222 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -8.1720755 2.8573640 0.59063644 -0.0000000 8.6206299 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 13 -13.007748 2.5421101 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 14 -1.6270168 2.4805185 0.0000000 0.0000000 0.0000000 1 . 292 320 0.099 . 293 320 0.055 . 294 320 0.057 . 295 320 0.062 . 296 320 0.054 . 297 320 0.051 . 298 320 0.055 . 299 320 0.051 . 300 320 0.054 . 301 320 0.060 . 302 320 0.052 . 303 320 0.056 . 304 320 0.051 . 305 320 0.055 . 306 320 0.064 . 307 320 0.054 . 308 320 0.054 . 309 320 0.062 . 310 320 0.059 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -3.3224459 2.8134090 1.2852035 -0.0000000 8.3175608 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -8.3818343 2.9006587 0.36512375 -0.0000000 9.2289515 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -12.683170 3.1408027 0.38242250 0.49893035 10.808967 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -16.958891 3.8203976 0.63491119 -0.0000000 7.6166471 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 4 0.41553090 2.4498856 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -4.4623064 2.5017535 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 6 2.5687736 2.5084047 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -4.1442060 2.5380824 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -58.623817 2.8578732 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -27.424391 3.4887129 0.44106852 -0.0000000 7.3131516 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -24.570750 2.8938835 0.90809566 -0.0000000 8.4788757 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -15.672243 3.3071880 0.71384741 -0.0000000 6.8918671 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -7.4464289 2.5643555 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -16.448707 2.8704994 0.35550987 -0.0000000 8.9889033 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -1.4345276 2.8582803 0.62569171 -0.0000000 8.9389995 1 . 311 320 0.135 . 312 320 0.053 . 313 320 0.058 . 314 320 0.060 . 315 320 0.055 . 316 320 0.051 . 317 320 0.054 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 318 0 -0.79662724 0.23374874 . 318 320 0.053 . 319 320 0.056 FITARCIMAGE_GLOBAL: b2: Line 0, at 3983.8390 Ang: ERR= 0.123695 ERR_RMS= 0.0254104 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 1, at 4046.5720 Ang: ERR= 0.00391714 ERR_RMS= 0.0180298 pix, 2 masked. FITARCIMAGE_GLOBAL: b2: Line 2, at 4077.8380 Ang: ERR= 0.0127480 ERR_RMS= 0.000702146 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 3, at 4358.3370 Ang: ERR= 0.00278881 ERR_RMS= 9.87644e-05 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 4, at 4678.1490 Ang: ERR= 0.0216640 ERR_RMS= 0.00218419 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 5, at 4799.9120 Ang: ERR= 0.0115792 ERR_RMS= 0.00311689 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Line 6, at 4916.0700 Ang: ERR= 0.0494587 ERR_RMS= 0.00702414 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 7, at 5085.8220 Ang: ERR= 0.00897763 ERR_RMS= 0.00149899 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 8, at 5460.7530 Ang: ERR= 0.00233690 ERR_RMS= 0.0115241 pix, 3 masked. FITARCIMAGE_GLOBAL: b2: Line 9, at 5769.5980 Ang: ERR= 0.00507642 ERR_RMS= 0.000195274 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 10, at 5790.6630 Ang: ERR= 0.00524609 ERR_RMS= 0.000209877 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 11, at 5852.4880 Ang: ERR= 0.00788276 ERR_RMS= 0.000381633 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 12, at 5881.8950 Ang: ERR= 0.0100340 ERR_RMS= 0.000803273 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 13, at 5944.8340 Ang: ERR= 0.00771799 ERR_RMS= 0.000349182 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 14, at 6029.9970 Ang: ERR= 0.0160057 ERR_RMS= 0.000859431 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b2: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 1 2 15 1 3 15 0 4 15 1 5 15 1 6 15 1 7 15 0 8 15 1 9 15 0 10 15 0 11 15 0 12 15 1 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 1 20 15 0 21 15 0 22 15 1 23 15 1 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 1 37 15 0 38 15 0 39 15 0 40 15 1 41 15 1 42 15 0 43 15 1 44 15 1 45 15 1 46 15 1 47 15 0 48 15 1 49 15 0 50 15 0 51 15 0 52 15 3 53 15 1 54 15 0 55 15 0 56 15 1 57 15 1 58 15 1 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 1 66 15 1 67 15 0 68 15 1 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 1 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 1 83 15 0 84 15 1 85 15 0 86 15 0 87 15 0 88 15 0 89 15 1 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 1 102 15 0 103 15 0 104 15 0 105 15 1 106 15 0 107 15 0 108 15 0 109 15 0 110 15 1 111 15 1 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 1 119 15 0 120 15 0 121 15 1 122 15 0 123 15 1 124 15 0 125 15 0 126 15 0 127 15 1 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 1 134 15 0 135 15 0 136 15 0 137 15 0 138 15 1 139 15 0 140 15 0 141 15 0 142 15 1 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 1 149 15 0 150 15 0 151 15 1 152 15 1 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 1 162 15 1 163 15 0 164 15 0 165 15 1 166 15 0 167 15 0 168 15 0 169 15 1 170 15 0 171 15 0 172 15 0 173 15 1 174 15 0 175 15 1 176 15 1 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 1 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 1 199 15 1 200 15 0 201 15 1 202 15 0 203 15 0 204 15 0 205 15 1 206 15 0 207 15 1 208 15 1 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 1 216 15 0 217 15 1 218 15 1 219 15 0 220 15 0 221 15 1 222 15 0 223 15 0 224 15 1 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 1 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 14 242 15 1 243 15 1 244 15 0 245 15 0 246 15 1 247 15 0 248 15 0 249 15 0 250 15 1 251 15 0 252 15 0 253 15 1 254 15 0 255 15 0 256 15 1 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 1 263 15 15 264 15 0 265 15 0 266 15 0 267 15 0 268 15 1 269 15 0 270 15 1 271 15 0 272 15 0 273 15 0 274 15 1 275 15 1 276 15 1 277 15 0 278 15 1 279 15 0 280 15 0 281 15 1 282 15 0 283 15 0 284 15 0 285 15 1 286 15 1 287 15 1 288 15 0 289 15 0 290 15 0 291 15 0 292 15 13 293 15 1 294 15 0 295 15 1 296 15 0 297 15 0 298 15 1 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 1 306 15 1 307 15 0 308 15 0 309 15 0 310 15 0 311 15 15 312 15 0 313 15 1 314 15 0 315 15 0 316 15 0 317 15 0 318 15 1 319 15 0 XY2TRACESET: b2: Total rejected = 147 Pass 1 complete FITARCIMAGE_GLOBAL: b2: Number of arclines after bundle test = 15 FITARCLINES: b2: ncoeffs (x,y): 4 5 FITARCLINES: b2: errored out 4 fibers: 241 263 292 311 FITARCLINES: b2: fit rchi2: 0.081025307 FITARCLINES: b2: offset stddev: 320 1.9081735e-13 FITARCLINES: b2: scale stddev: 320 3.0799089e-13 FITARCLINES: b2: poly x,y,stddev: 0 0 6.8321671e-07 FITARCLINES: b2: poly x,y,stddev: 1 0 2.0027224e-06 FITARCLINES: b2: poly x,y,stddev: 2 0 1.5709279e-06 FITARCLINES: b2: poly x,y,stddev: 3 0 3.1620630e-06 FITARCLINES: b2: poly x,y,stddev: 0 1 4.5349809e-07 FITARCLINES: b2: poly x,y,stddev: 1 1 1.3297628e-06 FITARCLINES: b2: poly x,y,stddev: 2 1 1.0454183e-06 FITARCLINES: b2: poly x,y,stddev: 3 1 2.1025209e-06 FITARCLINES: b2: poly x,y,stddev: 0 2 4.6419900e-07 FITARCLINES: b2: poly x,y,stddev: 1 2 1.3780723e-06 FITARCLINES: b2: poly x,y,stddev: 2 2 1.0909701e-06 FITARCLINES: b2: poly x,y,stddev: 3 2 2.1964164e-06 FITARCLINES: b2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: b2: IVAR=0 centroids masked: 59 Final arcfit complete FITARCIMAGE_GLOBAL: b2: Time 30. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 6 1.00 1.47 .0001 5 1.00 1.51 .0002 9 1.00 1.41 .0003 3 1.00 3.07 .0004 4 1.00 1.98 .0005 6 1.00 2.00 .0006 8 1.00 1.58 .0007 5 1.00 1.75 .0008 5 1.00 1.86 .0009 6 1.00 1.85 .0010 6 1.00 1.82 .0011 8 1.00 1.43 .0012 4 1.00 1.98 .0013 6 1.00 1.23 .0014 5 1.00 1.70 .0015 9 1.00 1.23 .0016 6 1.00 1.52 .0017 10 1.00 1.58 .0018 7 1.00 1.65 .0019 6 1.00 1.23 .0020 6 1.00 1.46 .0021 6 1.00 1.93 .0022 4 1.00 2.55 .0023 5 1.00 2.40 .0024 7 1.00 1.94 .0025 5 1.00 1.65 .0026 5 1.00 1.61 .0027 5 1.00 1.56 .0028 6 1.00 1.45 .0029 5 1.00 1.53 .0030 5 1.00 1.51 .0031 6 1.00 1.62 .0032 5 1.00 1.85 .0033 3 1.00 2.28 .0034 5 1.00 2.14 .0035 7 1.00 1.67 .0036 8 1.00 1.32 .0037 4 1.00 2.01 .0038 6 1.00 1.37 .0039 8 1.00 1.12 .0040 13 1.00 1.23 .0041 4 1.00 2.12 .0042 6 1.00 1.11 .0043 4 1.00 1.72 .0044 8 1.00 1.40 .0045 5 1.00 1.52 .0046 8 1.00 0.90 .0047 4 1.00 1.84 .0048 4 1.00 1.59 .0049 6 1.00 1.52 .0050 14 1.00 1.19 .0051 6 1.00 1.44 .0052 7 1.00 1.57 .0053 4 1.00 2.58 .0054 6 1.00 1.29 .0055 4 1.00 1.62 .0056 5 1.00 1.32 .0057 10 1.00 1.18 .0058 5 1.00 1.21 .0059 12 1.00 0.89 .0060 10 1.00 0.86 .0061 11 1.00 0.73 .0062 9 1.00 0.88 .0063 6 1.00 1.04 .0064 7 1.00 1.09 .0065 6 1.00 1.47 .0066 11 1.00 1.19 .0067 5 1.00 1.41 .0068 7 1.00 0.98 .0069 4 1.00 1.15 .0070 7 1.00 1.01 .0071 5 1.00 2.01 .0072 11 1.00 1.40 .0073 7 1.00 1.31 .0074 5 1.00 1.32 .0075 6 1.00 0.92 .0076 6 1.00 1.31 .0077 6 1.00 1.20 .0078 6 1.00 1.36 .0079 8 1.00 0.96 .0080 8 1.00 0.96 .0081 5 1.00 1.25 .0082 3 1.00 1.36 .0083 6 1.00 1.25 .0084 10 1.00 0.83 .0085 4 1.00 1.52 .0086 6 1.00 0.96 .0087 5 1.00 1.46 .0088 9 1.00 1.07 .0089 4 1.00 1.49 .0090 8 1.00 0.89 .0091 5 1.00 1.20 .0092 15 1.00 0.84 .0093 7 1.00 1.12 .0094 6 1.00 1.13 .0095 11 1.00 0.96 .0096 11 1.00 1.18 .0097 7 1.00 1.00 .0098 5 1.00 0.97 .0099 4 1.00 1.40 .0100 5 1.00 0.97 .0101 4 1.00 1.51 .0102 7 1.00 1.07 .0103 5 1.00 1.04 .0104 9 1.00 0.96 .0105 11 1.00 0.89 .0106 8 1.00 0.97 .0107 11 1.00 0.87 .0108 10 1.00 0.89 .0109 11 1.00 0.82 .0110 13 1.00 0.79 .0111 6 1.00 1.01 .0112 10 1.00 1.06 .0113 5 1.00 1.08 .0114 5 1.00 0.99 .0115 7 1.00 0.97 .0116 7 1.00 0.93 .0117 5 1.00 1.29 .0118 7 1.00 0.78 .0119 13 1.00 0.84 .0120 10 1.00 0.92 .0121 9 1.00 0.81 .0122 8 1.00 0.91 .0123 5 1.00 1.33 .0124 6 1.00 1.29 .0125 4 1.00 1.47 .0126 6 1.00 0.95 .0127 6 1.00 1.07 .0128 5 1.00 1.10 .0129 5 1.00 1.16 .0130 5 1.00 1.19 .0131 5 1.00 0.94 .0132 4 1.00 1.15 .0133 8 1.00 0.94 .0134 6 1.00 0.90 .0135 7 1.00 0.83 .0136 7 1.00 0.85 .0137 6 1.00 0.99 .0138 5 1.00 1.01 .0139 11 1.00 0.73 .0140 11 1.00 0.82 .0141 13 1.00 0.98 .0142 7 1.00 1.40 .0143 11 1.00 1.01 .0144 4 1.00 2.09 .0145 7 1.00 1.28 .0146 4 1.00 1.72 .0147 4 1.00 1.75 .0148 7 1.00 1.23 .0149 5 1.00 1.41 .0150 7 1.00 1.26 .0151 7 1.00 1.14 .0152 8 1.00 1.22 .0153 6 1.00 1.13 .0154 5 1.00 1.00 .0155 7 1.00 1.10 .0156 8 1.00 1.33 .0157 7 1.00 1.05 .0158 7 1.00 1.26 .0159 8 1.00 1.04 .0160 6 1.00 1.01 .0161 4 1.00 1.76 .0162 5 1.00 1.64 .0163 4 1.00 1.82 .0164 7 1.00 1.37 .0165 6 1.00 1.18 .0166 5 1.00 1.31 .0167 7 1.00 1.20 .0168 4 1.00 1.53 .0169 9 1.00 1.16 .0170 4 1.00 1.82 .0171 8 1.00 1.32 .0172 8 1.00 1.02 .0173 7 1.00 1.50 .0174 4 1.00 1.82 .0175 10 1.00 1.02 .0176 3 1.00 2.09 .0177 8 1.00 0.97 .0178 7 1.00 1.20 .0179 7 1.00 1.19 .0180 6 1.00 1.41 .0181 7 1.00 1.12 .0182 11 1.00 1.05 .0183 12 1.00 0.91 .0184 13 1.00 0.97 .0185 11 1.00 0.95 .0186 12 1.00 0.94 .0187 9 1.00 0.98 .0188 5 1.00 1.32 .0189 6 1.00 1.58 .0190 5 1.00 1.39 .0191 5 1.00 1.45 .0192 5 1.00 1.35 .0193 5 1.00 1.18 .0194 6 1.00 1.28 .0195 5 1.00 1.21 .0196 5 1.00 1.37 .0197 10 1.00 1.00 .0198 4 1.00 1.34 .0199 11 1.00 1.14 .0200 6 1.00 1.30 .0201 6 1.00 1.01 .0202 6 1.00 0.89 .0203 8 1.00 0.87 .0204 9 1.00 0.89 .0205 5 1.00 1.18 .0206 7 1.00 1.05 .0207 6 1.00 1.02 .0208 5 1.00 0.98 .0209 6 1.00 1.52 .0210 11 1.00 0.75 .0211 3 1.00 1.82 .0212 6 1.00 1.36 .0213 9 1.00 0.94 .0214 8 1.00 1.01 .0215 7 1.00 0.98 .0216 6 1.00 1.11 .0217 7 1.00 0.97 .0218 9 1.00 0.86 .0219 6 1.00 1.01 .0220 7 1.00 0.97 .0221 10 1.00 0.87 .0222 8 1.00 0.91 .0223 4 1.00 1.37 .0224 6 1.00 1.05 .0225 7 1.00 0.86 .0226 8 1.00 0.85 .0227 5 1.00 0.91 .0228 9 1.00 0.81 .0229 9 1.00 0.82 .0230 5 1.00 0.86 .0231 5 1.00 1.11 .0232 6 1.00 0.94 .0233 6 1.00 1.06 .0234 4 1.00 1.74 .0235 8 1.00 1.40 .0236 8 1.00 1.00 .0237 10 1.00 1.02 .0238 10 1.00 0.84 .0239 7 1.00 0.95 .0240 7 1.00 0.90 .0241 1 1.00 0.27 .0242 5 1.00 1.20 .0243 15 1.00 0.90 .0244 15 1.00 0.80 .0245 7 1.00 1.28 .0246 6 1.00 1.02 .0247 6 1.00 1.26 .0248 5 1.00 1.18 .0249 9 1.00 0.95 .0250 6 1.00 1.27 .0251 6 1.00 1.25 .0252 5 1.00 0.90 .0253 5 1.00 1.06 .0254 6 1.00 0.95 .0255 6 1.00 1.10 .0256 12 1.00 0.81 .0257 7 1.00 0.97 .0258 9 1.00 1.06 .0259 5 1.00 1.43 .0260 7 1.00 1.19 .0261 7 1.00 1.36 .0262 6 1.00 1.42 .0263 1 1.00 0.36 .0264 6 1.00 1.24 .0265 12 1.00 0.88 .0266 4 1.00 1.61 .0267 7 1.00 1.15 .0268 10 1.00 0.97 .0269 6 1.00 1.40 .0270 6 1.00 1.35 .0271 7 1.00 1.37 .0272 5 1.00 1.53 .0273 5 1.00 2.02 .0274 5 1.00 1.53 .0275 5 1.00 1.78 .0276 4 1.00 2.29 .0277 7 1.00 1.46 .0278 8 1.00 1.38 .0279 4 1.00 1.88 .0280 9 1.00 1.63 .0281 5 1.00 1.74 .0282 4 1.00 2.07 .0283 10 1.00 1.52 .0284 6 1.00 2.01 .0285 6 1.00 1.33 .0286 7 1.00 1.65 .0287 5 1.00 1.85 .0288 5 1.00 1.61 .0289 5 1.00 2.03 .0290 8 1.00 1.51 .0291 6 1.00 1.16 .0292 1 1.00 0.53 .0293 7 1.00 1.85 .0294 6 1.00 2.01 .0295 6 1.00 1.92 .0296 6 1.00 1.29 .0297 6 1.00 1.84 .0298 6 1.00 2.10 .0299 6 1.00 1.66 .0300 5 1.00 1.66 .0301 5 1.00 1.69 .0302 5 1.00 1.45 .0303 8 1.00 1.13 .0304 8 1.00 1.29 .0305 8 1.00 1.32 .0306 4 1.00 1.61 .0307 5 1.00 1.67 .0308 4 1.00 2.33 .0309 3 1.00 2.33 .0310 9 1.00 1.68 .0311 2 1.00 0.67 .0312 5 1.00 1.68 .0313 6 1.00 1.68 .0314 5 1.00 2.29 .0315 5 1.00 1.87 .0316 7 1.00 1.59 .0317 4 1.00 2.59 .0318 4 1.00 2.36 .0319 4 1.00 2.76 EXTRACT_IMAGE: b2: masked 3762 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 0 FITDISPERSION: b2: Median wavelength widths = 0.85 0.84 0.87 0.86 pix (LL LR UL UR) SPCALIB: b2: Extracting arc # 2 of 2 SPCALIB: b2: Reading arc sdR-b2-00034757.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.79148 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1225.00 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.27186 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1197.86 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1181. DN is 0 SDSSPROC: b2: Number of saturated rows = 0 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: b2: Fraction of bad pixels in arc = 2.00272e-05 SPCALIB: b2: Arc sdR-b2-00034757.fit paired with flat sdR-b2-00034756.fit MATCH_TRACE: b2: Iteration: 0 Pixels Rejected: 3224 Finished? 0 MATCH_TRACE: b2: Iteration: 1 Pixels Rejected: 200 Finished? 0 MATCH_TRACE: b2: Iteration: 2 Pixels Rejected: 13 Finished? 0 MATCH_TRACE: b2: Iteration: 3 Pixels Rejected: 0 Finished? 1 SPCALIB: b2: Shifting traces with match_trace -0.00195312 SPCALIB: b2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 2 0.91 1.14 .0001 1 0.91 0.97 .0002 1 0.91 1.07 .0003 1 0.91 1.21 .0004 1 0.91 1.91 .0005 1 0.91 1.87 .0006 1 0.91 2.43 .0007 1 0.91 2.09 .0008 1 0.91 1.99 .0009 1 0.91 1.65 .0010 1 0.91 1.51 .0011 1 0.91 1.38 .0012 1 0.91 1.24 .0013 1 0.91 1.15 .0014 1 0.91 1.09 .0015 3 0.91 1.06 .0016 2 0.91 1.14 .0017 1 0.91 1.05 .0018 1 0.91 0.93 .0019 1 0.91 1.80 .0020 1 0.91 2.24 .0021 1 0.91 5.28 .0022 1 0.91 5.67 .0023 1 0.91 6.13 .0024 1 0.91 5.56 .0025 1 0.91 4.33 .0026 1 0.91 3.62 .0027 1 0.91 3.66 .0028 1 0.91 2.91 .0029 1 0.91 2.23 .0030 1 0.91 1.33 .0031 1 0.91 1.11 .0032 1 0.91 1.01 .0033 1 0.91 0.97 .0034 1 0.91 1.00 .0035 1 0.91 0.99 .0036 1 0.91 0.95 .0037 1 0.91 0.93 .0038 1 0.91 0.98 .0039 1 0.91 0.98 .0040 1 0.91 1.00 .0041 1 0.91 1.09 .0042 1 0.91 0.97 .0043 1 0.91 0.94 .0044 1 0.91 0.94 .0045 1 0.91 0.95 .0046 1 0.91 0.97 .0047 1 0.91 0.95 .0048 1 0.91 0.94 .0049 1 0.91 0.90 .0050 1 0.91 1.01 .0051 1 0.91 0.95 .0052 1 0.91 0.92 .0053 1 0.91 1.00 .0054 1 0.91 0.92 .0055 1 0.91 1.00 .0056 1 0.91 1.06 .0057 1 0.91 1.26 .0058 1 0.91 2.29 .0059 1 0.91 2.02 .0060 1 0.91 2.49 .0061 1 0.91 2.02 .0062 1 0.91 2.12 .0063 1 0.91 1.79 .0064 2 0.91 1.71 .0065 1 0.91 1.42 .0066 1 0.91 1.24 .0067 1 0.91 1.22 .0068 1 0.91 0.96 .0069 1 0.91 0.94 .0070 1 0.91 0.98 .0071 1 0.91 1.05 .0072 1 0.91 0.95 .0073 1 0.91 1.00 .0074 1 0.91 1.33 .0075 1 0.91 2.01 .0076 1 0.91 2.16 .0077 1 0.91 2.70 .0078 1 0.91 2.18 .0079 1 0.91 2.14 .0080 1 0.91 1.85 .0081 1 0.91 1.64 .0082 2 0.91 1.55 .0083 1 0.91 1.37 .0084 1 0.91 1.18 .0085 2 0.91 1.11 .0086 1 0.91 0.97 .0087 1 0.91 1.01 .0088 1 0.91 0.91 .0089 3 0.91 0.94 .0090 1 0.91 0.99 .0091 1 0.91 0.92 .0092 1 0.91 0.96 .0093 1 0.91 0.95 .0094 1 0.91 0.98 .0095 1 0.91 0.88 .0096 1 0.91 0.95 .0097 1 0.91 0.94 .0098 1 0.91 0.92 .0099 1 0.91 0.97 .0100 1 0.91 0.98 .0101 1 0.91 0.92 .0102 1 0.91 0.90 .0103 1 0.91 0.94 .0104 1 0.91 0.94 .0105 1 0.91 0.97 .0106 1 0.91 0.94 .0107 1 0.91 0.91 .0108 1 0.91 0.94 .0109 1 0.91 1.08 .0110 3 0.91 1.10 .0111 3 0.91 1.59 .0112 3 0.91 1.50 .0113 1 0.91 1.55 .0114 1 0.91 1.39 .0115 1 0.91 1.40 .0116 1 0.91 1.23 .0117 1 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1 0.93 0.97 .0617 1 0.93 0.97 .0618 1 0.93 1.07 .0619 1 0.93 0.95 .0620 3 0.93 1.04 .0621 1 0.93 1.02 .0622 1 0.93 0.97 .0623 1 0.93 1.02 .0624 1 0.93 1.05 .0625 1 0.93 1.03 .0626 1 0.93 1.11 .0627 1 0.93 1.10 .0628 1 0.93 1.05 .0629 1 0.93 0.98 .0630 1 0.93 1.02 .0631 1 0.93 1.06 .0632 1 0.93 1.00 .0633 1 0.93 0.98 .0634 1 0.93 1.01 .0635 1 0.93 1.01 .0636 1 0.93 1.06 .0637 1 0.93 0.96 .0638 1 0.93 1.03 .0639 1 0.93 1.03 .0640 1 0.93 0.99 .0641 2 0.93 1.04 .0642 1 0.93 0.98 .0643 1 0.93 0.98 .0644 1 0.93 1.04 .0645 1 0.93 1.05 .0646 1 0.93 0.98 .0647 1 0.93 0.96 .0648 1 0.93 1.04 .0649 1 0.93 1.00 .0650 1 0.93 1.00 .0651 2 0.93 0.96 .0652 1 0.93 1.04 .0653 1 0.93 1.07 .0654 1 0.93 1.05 .0655 1 0.93 1.03 .0656 1 0.93 0.99 .0657 1 0.93 1.00 .0658 1 0.93 1.02 .0659 1 0.93 0.97 .0660 1 0.93 0.97 .0661 1 0.93 0.97 .0662 1 0.93 0.94 .0663 2 0.93 1.05 .0664 1 0.93 0.99 .0665 1 0.93 0.99 .0666 1 0.93 0.98 .0667 1 0.93 0.96 .0668 1 0.93 0.95 .0669 1 0.93 0.96 .0670 1 0.93 1.02 .0671 1 0.93 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1.06 .1338 2 0.92 0.90 .1339 1 0.92 0.97 .1340 1 0.92 0.97 .1341 1 0.92 0.93 .1342 1 0.92 0.95 .1343 1 0.92 0.96 .1344 1 0.92 0.94 .1345 1 0.92 0.94 .1346 1 0.92 0.91 .1347 1 0.92 0.93 .1348 1 0.92 0.87 .1349 1 0.92 0.90 .1350 1 0.92 1.00 .1351 2 0.92 0.97 .1352 1 0.92 0.99 .1353 1 0.92 0.99 .1354 1 0.92 0.97 .1355 1 0.92 0.90 .1356 1 0.92 0.94 .1357 1 0.92 0.89 .1358 1 0.92 0.94 .1359 1 0.92 0.91 .1360 1 0.92 1.00 .1361 1 0.92 0.91 .1362 1 0.92 0.92 .1363 1 0.92 0.88 .1364 1 0.92 0.95 .1365 1 0.92 0.91 .1366 1 0.92 0.92 .1367 1 0.92 1.00 .1368 1 0.92 0.94 .1369 1 0.92 0.93 .1370 1 0.92 0.96 .1371 1 0.92 0.93 .1372 1 0.92 0.99 .1373 1 0.91 0.93 .1374 1 0.91 1.00 .1375 3 0.91 0.89 .1376 1 0.91 1.03 .1377 1 0.91 0.94 .1378 1 0.91 0.94 .1379 1 0.91 0.93 .1380 1 0.91 0.89 .1381 1 0.91 0.93 .1382 1 0.91 0.94 .1383 1 0.91 0.95 .1384 1 0.91 0.88 .1385 1 0.91 0.94 .1386 1 0.91 0.94 .1387 1 0.91 0.91 .1388 1 0.91 0.95 .1389 1 0.91 0.94 .1390 1 0.91 0.90 .1391 1 0.91 0.91 .1392 1 0.91 0.93 .1393 1 0.91 0.94 .1394 1 0.91 0.94 .1395 1 0.91 0.89 .1396 1 0.91 0.94 .1397 1 0.91 0.89 .1398 1 0.91 0.94 .1399 1 0.91 1.00 .1400 1 0.91 0.88 .1401 1 0.91 0.92 .1402 2 0.91 1.04 .1403 1 0.91 0.95 .1404 1 0.91 0.98 .1405 1 0.91 0.96 .1406 1 0.91 0.95 .1407 1 0.91 0.93 .1408 1 0.91 0.89 .1409 1 0.91 1.00 .1410 2 0.91 1.00 .1411 2 0.91 0.99 .1412 1 0.91 0.97 .1413 1 0.91 0.94 .1414 1 0.91 0.89 .1415 1 0.91 0.93 .1416 1 0.91 1.00 .1417 1 0.91 0.96 .1418 1 0.91 1.02 .1419 2 0.91 1.00 .1420 2 0.91 1.02 .1421 3 0.91 0.94 .1422 1 0.91 0.98 .1423 1 0.91 0.91 .1424 1 0.91 0.96 .1425 1 0.91 0.97 .1426 1 0.91 1.01 .1427 1 0.91 1.06 .1428 1 0.91 1.10 .1429 1 0.91 1.10 .1430 1 0.91 1.16 .1431 1 0.91 1.15 .1432 1 0.91 1.07 .1433 1 0.91 1.10 .1434 1 0.91 1.06 .1435 1 0.91 1.16 .1436 1 0.91 1.19 .1437 1 0.91 1.20 .1438 1 0.91 1.17 .1439 1 0.91 1.20 .1440 2 0.91 1.27 .1441 1 0.91 1.20 .1442 1 0.91 1.09 .1443 1 0.91 1.09 .1444 1 0.91 1.03 .1445 1 0.91 1.03 .1446 1 0.91 0.99 .1447 1 0.91 0.99 .1448 1 0.91 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0.91 1.90 .1782 1 0.91 1.71 .1783 1 0.91 1.56 .1784 3 0.91 1.41 .1785 2 0.91 1.49 .1786 1 0.91 1.29 .1787 1 0.91 1.27 .1788 1 0.91 1.28 .1789 1 0.91 1.36 .1790 1 0.91 1.30 .1791 1 0.91 1.25 .1792 1 0.91 1.24 .1793 1 0.91 1.22 .1794 1 0.91 1.25 .1795 1 0.91 1.35 .1796 3 0.91 1.24 .1797 1 0.91 1.17 .1798 1 0.91 1.35 .1799 2 0.91 1.26 .1800 2 0.91 1.26 .1801 2 0.91 1.34 .1802 1 0.91 1.17 .1803 1 0.91 1.25 .1804 1 0.91 1.19 .1805 1 0.91 1.22 .1806 1 0.91 1.19 .1807 1 0.91 1.69 .1808 1 0.91 4.97 .1809 1 0.91 7.86 .1810 1 0.91 12.54 .1811 1 0.91 20.82 .1812 1 0.91 17.04 .1813 1 0.91 12.30 .1814 1 0.91 9.92 .1815 1 0.91 8.16 .1816 1 0.91 7.96 .1817 1 0.91 6.64 .1818 1 0.91 6.33 .1819 1 0.91 7.02 .1820 1 0.91 6.71 .1821 1 0.91 5.24 .1822 1 0.91 5.47 .1823 1 0.91 5.41 .1824 1 0.91 5.26 .1825 1 0.91 5.23 .1826 1 0.91 5.76 .1827 1 0.91 5.11 .1828 1 0.91 4.94 .1829 1 0.91 4.65 .1830 1 0.91 4.18 .1831 1 0.91 4.10 .1832 1 0.91 3.78 .1833 1 0.91 3.53 .1834 1 0.91 2.65 .1835 1 0.91 1.28 .1836 1 0.91 1.08 .1837 1 0.91 1.08 .1838 1 0.91 1.01 .1839 1 0.91 1.04 .1840 1 0.91 1.05 .1841 1 0.91 0.93 .1842 1 0.91 1.00 .1843 1 0.91 1.02 .1844 1 0.91 1.02 .1845 1 0.91 0.93 .1846 1 0.91 0.93 .1847 1 0.91 0.99 .1848 1 0.91 0.98 .1849 1 0.91 0.94 .1850 1 0.91 0.98 .1851 1 0.91 0.96 .1852 1 0.91 0.94 .1853 2 0.91 1.04 .1854 2 0.91 1.04 .1855 1 0.91 0.95 .1856 1 0.91 0.95 .1857 2 0.91 0.97 .1858 2 0.91 1.09 .1859 1 0.91 0.97 .1860 1 0.91 0.95 .1861 1 0.91 0.95 .1862 1 0.91 1.03 .1863 3 0.91 1.02 .1864 3 0.91 1.01 .1865 1 0.91 0.97 .1866 1 0.91 0.96 .1867 1 0.92 0.96 .1868 2 0.92 0.99 .1869 1 0.92 0.97 .1870 1 0.92 0.98 .1871 1 0.92 0.89 .1872 1 0.92 1.02 .1873 2 0.92 0.98 .1874 1 0.92 0.94 .1875 1 0.92 0.88 .1876 1 0.92 1.02 .1877 1 0.92 0.93 .1878 1 0.92 1.02 .1879 1 0.92 0.90 .1880 1 0.92 0.93 .1881 1 0.92 0.91 .1882 1 0.92 0.93 .1883 1 0.92 0.98 .1884 1 0.92 0.95 .1885 1 0.92 0.95 .1886 1 0.92 1.00 .1887 1 0.92 0.97 .1888 3 0.92 1.01 .1889 2 0.92 0.99 .1890 1 0.92 0.95 .1891 1 0.92 0.95 .1892 1 0.92 0.94 .1893 1 0.92 0.91 .1894 1 0.92 0.92 .1895 1 0.92 0.98 .1896 1 0.92 0.97 .1897 1 0.92 0.95 .1898 1 0.92 0.94 .1899 1 0.92 0.94 .1900 2 0.92 0.98 .1901 3 0.92 1.13 .1902 1 0.92 1.19 .1903 1 0.92 0.97 .1904 2 0.92 0.91 .1905 1 0.92 0.90 .1906 1 0.92 0.99 .1907 1 0.92 0.90 .1908 1 0.92 0.91 .1909 1 0.92 0.89 .1910 1 0.92 0.96 .1911 2 0.92 0.91 .1912 2 0.92 0.95 .1913 1 0.92 0.89 .1914 1 0.92 0.92 .1915 1 0.92 0.93 .1916 1 0.92 0.90 .1917 2 0.92 0.90 .1918 1 0.92 0.88 .1919 1 0.92 0.90 .1920 1 0.92 0.96 .1921 1 0.92 0.92 .1922 1 0.92 0.95 .1923 3 0.92 0.93 .1924 3 0.92 0.91 .1925 1 0.92 0.91 .1926 2 0.92 1.01 .1927 2 0.92 1.01 .1928 3 0.92 0.91 .1929 1 0.92 1.02 .1930 1 0.92 0.93 .1931 1 0.92 0.94 .1932 3 0.92 0.89 .1933 1 0.92 0.95 .1934 1 0.92 0.90 .1935 1 0.92 0.89 .1936 1 0.92 0.90 .1937 1 0.92 0.98 .1938 1 0.92 0.89 .1939 1 0.92 0.89 .1940 1 0.92 0.97 .1941 2 0.92 0.91 .1942 1 0.92 0.99 .1943 1 0.92 0.89 .1944 1 0.92 0.98 .1945 1 0.92 0.89 .1946 1 0.92 0.94 .1947 1 0.92 0.93 .1948 1 0.92 0.95 .1949 2 0.92 1.06 .1950 2 0.92 0.98 .1951 1 0.92 0.97 .1952 1 0.92 0.94 .1953 1 0.92 0.98 .1954 1 0.92 0.98 .1955 1 0.92 0.95 .1956 1 0.92 0.90 .1957 1 0.92 0.96 .1958 1 0.92 0.92 .1959 1 0.92 0.94 .1960 1 0.92 0.95 .1961 1 0.92 0.99 .1962 1 0.92 0.86 .1963 1 0.92 0.88 .1964 1 0.92 1.00 .1965 1 0.92 0.94 .1966 2 0.92 0.96 .1967 3 0.93 1.01 .1968 1 0.93 0.95 .1969 1 0.93 0.89 .1970 1 0.93 0.90 .1971 1 0.93 0.94 .1972 1 0.93 0.94 .1973 1 0.93 0.94 .1974 1 0.93 0.90 .1975 1 0.93 0.93 .1976 1 0.93 0.91 .1977 1 0.93 0.92 .1978 1 0.93 0.95 .1979 2 0.93 0.90 .1980 1 0.93 0.86 .1981 1 0.93 0.83 .1982 1 0.93 0.89 .1983 1 0.93 0.94 .1984 1 0.93 0.94 .1985 1 0.93 0.88 .1986 1 0.93 0.94 .1987 1 0.93 0.99 .1988 3 0.93 0.93 .1989 3 0.93 0.97 .1990 1 0.93 0.92 .1991 1 0.93 0.96 .1992 3 0.93 1.02 .1993 2 0.93 1.00 .1994 2 0.93 0.97 .1995 2 0.93 1.04 .1996 2 0.93 0.97 .1997 3 0.93 0.91 .1998 2 0.93 1.18 .1999 1 0.93 1.10 .2000 1 0.93 0.99 .2001 1 0.93 0.95 .2002 1 0.93 0.89 .2003 1 0.93 0.92 .2004 1 0.93 0.92 .2005 1 0.93 0.95 .2006 1 0.93 0.89 .2007 1 0.93 0.91 .2008 1 0.93 0.91 .2009 1 0.93 0.94 .2010 2 0.93 0.95 .2011 2 0.93 1.02 .2012 1 0.93 0.89 .2013 3 0.93 0.98 .2014 2 0.93 1.12 .2015 1 0.93 0.96 .2016 2 0.93 0.94 .2017 2 0.93 1.16 .2018 3 0.93 0.85 .2019 1 0.93 1.04 .2020 1 0.93 0.92 .2021 2 0.93 1.00 .2022 1 0.93 0.94 .2023 2 0.93 0.93 .2024 1 0.93 0.96 .2025 1 0.93 0.91 .2026 1 0.93 0.95 .2027 3 0.93 0.92 .2028 2 0.93 0.91 .2029 1 0.93 0.99 .2030 1 0.93 0.90 .2031 1 0.93 0.92 .2032 1 0.93 0.91 .2033 2 0.93 0.95 .2034 1 0.93 0.89 .2035 1 0.93 0.91 .2036 1 0.93 0.88 .2037 1 0.93 0.89 .2038 1 0.93 0.93 .2039 1 0.93 0.90 .2040 1 0.94 1.01 .2041 2 0.94 1.01 .2042 1 0.94 0.88 .2043 1 0.94 0.85 .2044 1 0.94 0.89 .2045 1 0.94 0.95 .2046 1 0.94 0.96 .2047 1 0.94 0.93 EXTRACT_IMAGE: b2: masked 372 pixels SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: b2: Searching about coefficients = 3.69300 -0.10440 -0.00410 0.00016 ARCFIT_ITER: b2: Searching lags from -736 to 734 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Searching about coefficients = 3.68951 -0.10542 -0.00419 0.00016 ARCFIT_ITER: b2: Searching lags from -146 to 145 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 ARCFIT_GUESS: b2: Initial wavelength fit = 3.68951 -0.10542 -0.00431 0.00020 ARCFIT_GUESS: b2: Initial correlation = 0.779276 FITARCIMAGE_GLOBAL: b2: Best correlation = 0.779276 FITARCIMAGE_GLOBAL: b2: ASET = 3.68951 -0.10542 -0.00431 0.00020 SPCALIB: b2: Searching for wavelength solution FITARCIMAGE_GLOBAL: b2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Tracing 15 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: Iterating flux-weighted centers . 0 320 0.056 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 1 0 13.542259 0.20836297 . 1 320 0.060 . 2 320 0.075 . 3 320 0.060 . 4 320 0.061 . 5 320 0.057 . 6 320 0.052 . 7 320 0.066 . 8 320 0.068 . 9 320 0.061 . 10 320 0.064 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 11 0 6.7210140 0.21912565 . 11 320 0.062 . 12 320 0.058 . 13 320 0.054 . 14 320 0.057 . 15 320 0.056 . 16 320 0.051 . 17 320 0.054 . 18 320 0.066 . 19 320 0.052 . 20 320 0.056 . 21 320 0.051 . 22 320 0.053 . 23 320 0.056 . 24 320 0.057 . 25 320 0.055 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 26 0 6.5124052 0.20158842 . 26 320 0.055 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 27 0 8.1453114 0.23504776 . 27 320 0.057 . 28 320 0.058 . 29 320 0.056 . 30 320 0.060 . 31 320 0.065 . 32 320 0.061 . 33 320 0.054 . 34 320 0.050 . 35 320 0.056 . 36 320 0.052 . 37 320 0.053 . 38 320 0.053 . 39 320 0.066 . 40 320 0.057 . 41 320 0.063 . 42 320 0.053 . 43 320 0.062 . 44 320 0.054 . 45 320 0.055 . 46 320 0.066 . 47 320 0.058 . 48 320 0.053 . 49 320 0.064 . 50 320 0.062 . 51 320 0.057 . 52 320 0.066 . 53 320 0.055 . 54 320 0.058 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 55 0 8.2766988 0.22498843 . 55 320 0.062 . 56 320 0.058 . 57 320 0.055 . 58 320 0.066 . 59 320 0.072 . 60 320 0.063 . 61 320 0.058 . 62 320 0.057 . 63 320 0.057 . 64 320 0.056 . 65 320 0.064 . 66 320 0.073 . 67 320 0.069 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 68 0 0.024249164 0.20153233 . 68 320 0.059 . 69 320 0.058 . 70 320 0.060 . 71 320 0.055 . 72 320 0.061 . 73 320 0.061 . 74 320 0.061 . 75 320 0.055 . 76 320 0.057 . 77 320 0.062 . 78 320 0.061 . 79 320 0.069 . 80 320 0.063 . 81 320 0.071 . 82 320 0.070 . 83 320 0.057 . 84 320 0.052 . 85 320 0.055 . 86 320 0.065 . 87 320 0.058 . 88 320 0.069 . 89 320 0.063 . 90 320 0.055 . 91 320 0.053 . 92 320 0.054 . 93 320 0.055 . 94 320 0.056 . 95 320 0.055 . 96 320 0.053 . 97 320 0.052 . 98 320 0.052 . 99 320 0.055 . 100 320 0.049 . 101 320 0.054 . 102 320 0.060 . 103 320 0.048 . 104 320 0.051 . 105 320 0.051 . 106 320 0.052 . 107 320 0.053 . 108 320 0.056 . 109 320 0.056 . 110 320 0.051 . 111 320 0.052 . 112 320 0.059 . 113 320 0.051 . 114 320 0.056 . 115 320 0.056 . 116 320 0.053 . 117 320 0.053 . 118 320 0.055 . 119 320 0.053 . 120 320 0.055 . 121 320 0.050 . 122 320 0.056 . 123 320 0.051 . 124 320 0.053 . 125 320 0.053 . 126 320 0.051 . 127 320 0.053 . 128 320 0.054 . 129 320 0.054 . 130 320 0.053 . 131 320 0.054 . 132 320 0.055 . 133 320 0.060 . 134 320 0.055 . 135 320 0.052 . 136 320 0.055 . 137 320 0.053 . 138 320 0.061 . 139 320 0.051 . 140 320 0.066 . 141 320 0.054 . 142 320 0.054 . 143 320 0.058 . 144 320 0.051 . 145 320 0.051 . 146 320 0.056 . 147 320 0.066 . 148 320 0.055 . 149 320 0.054 . 150 320 0.053 . 151 320 0.052 . 152 320 0.053 . 153 320 0.054 . 154 320 0.067 . 155 320 0.050 . 156 320 0.052 . 157 320 0.055 . 158 320 0.056 . 159 320 0.057 . 160 320 0.055 . 161 320 0.051 . 162 320 0.054 . 163 320 0.063 . 164 320 0.056 . 165 320 0.049 . 166 320 0.055 . 167 320 0.058 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 168 0 12.703376 0.20584762 . 168 320 0.058 . 169 320 0.054 . 170 320 0.051 . 171 320 0.055 . 172 320 0.055 . 173 320 0.063 . 174 320 0.059 . 175 320 0.054 . 176 320 0.052 . 177 320 0.055 . 178 320 0.060 . 179 320 0.060 . 180 320 0.054 . 181 320 0.055 . 182 320 0.052 . 183 320 0.060 . 184 320 0.057 . 185 320 0.053 . 186 320 0.054 . 187 320 0.053 . 188 320 0.052 . 189 320 0.056 . 190 320 0.053 . 191 320 0.060 . 192 320 0.051 . 193 320 0.056 . 194 320 0.057 . 195 320 0.057 . 196 320 0.054 . 197 320 0.051 . 198 320 0.058 . 199 320 0.055 . 200 320 0.061 . 201 320 0.050 . 202 320 0.050 . 203 320 0.060 . 204 320 0.051 . 205 320 0.055 . 206 320 0.055 . 207 320 0.054 . 208 320 0.050 . 209 320 0.051 . 210 320 0.053 . 211 320 0.056 . 212 320 0.056 . 213 320 0.053 . 214 320 0.052 . 215 320 0.060 . 216 320 0.070 . 217 320 0.055 . 218 320 0.057 . 219 320 0.056 . 220 320 0.058 . 221 320 0.062 . 222 320 0.057 . 223 320 0.065 . 224 320 0.053 . 225 320 0.056 . 226 320 0.054 . 227 320 0.057 . 228 320 0.053 . 229 320 0.063 . 230 320 0.053 . 231 320 0.060 . 232 320 0.055 . 233 320 0.062 . 234 320 0.055 . 235 320 0.059 . 236 320 0.063 . 237 320 0.063 . 238 320 0.053 . 239 320 0.059 . 240 320 0.053 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 0 2.1684631 2.7703695 0.75031592 -0.0000000 8.6600710 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -19.858827 2.6720773 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -5.5683214 2.8535695 0.70920860 -0.0000000 8.9838651 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -19.847054 2.9849080 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 4 0.62949122 2.8078397 0.85013081 -0.0000000 8.7469936 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -3.2576527 3.2761299 1.3688203 -0.0000000 6.8092861 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 6 2.8624469 2.8461052 1.2254456 -0.0000000 8.7104633 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -9.9732069 3.4691832 0.52955707 -0.0000000 7.1400919 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -42.408367 3.2355244 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -15.052033 2.5805208 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -14.198424 3.5474304 1.1758044 -0.0000000 6.9405678 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -10.534187 3.2705891 0.80421425 -0.0000000 6.6537019 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -2.2286066 2.5482622 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 13 -6.3121428 2.8902286 0.37852734 -0.0000000 8.7750853 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -5.6257724 2.4746144 0.0000000 0.0000000 0.0000000 1 . 241 320 0.270 . 242 320 0.054 . 243 320 0.054 . 244 320 0.052 . 245 320 0.053 . 246 320 0.049 . 247 320 0.055 . 248 320 0.051 . 249 320 0.051 . 250 320 0.056 . 251 320 0.049 . 252 320 0.055 . 253 320 0.053 . 254 320 0.055 . 255 320 0.055 . 256 320 0.052 . 257 320 0.056 . 258 320 0.056 . 259 320 0.054 . 260 320 0.052 . 261 320 0.061 . 262 320 0.057 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 0 -2.0358868 2.7695836 1.2529098 -0.0000000 8.4528006 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -24.701035 3.5010785 0.55100274 -0.0000000 7.2021813 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -7.2173001 3.1067945 0.34047493 0.32362930 8.6526788 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 263 3 -39.700528 0.27558165 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -1.4362730 2.4630471 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 5 -4.3902160 3.5211688 1.9774552 2.2800588 7.6733214 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 6 -2.3816590 2.8309703 0.40764648 -0.0000000 9.1350782 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -5.9594570 3.3964941 0.71287549 -0.0000000 7.2048019 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -54.634400 4.1110469 0.48771042 0.50184528 10.091641 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -14.328886 2.9092475 7.4264137 0.0000000 8.7326304 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -18.243885 2.5846081 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 11 -8.3327719 2.9081601 1.0168709 -0.0000000 9.1462065 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -6.2008187 2.4977243 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 13 -12.010379 2.5516887 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 263 14 2.1815152 2.4989695 0.0000000 0.0000000 0.0000000 1 . 263 320 0.118 . 264 320 0.053 . 265 320 0.052 . 266 320 0.060 . 267 320 0.058 . 268 320 0.056 . 269 320 0.060 . 270 320 0.061 . 271 320 0.060 . 272 320 0.058 . 273 320 0.058 . 274 320 0.051 . 275 320 0.059 . 276 320 0.054 . 277 320 0.053 . 278 320 0.062 . 279 320 0.053 . 280 320 0.055 . 281 320 0.051 . 282 320 0.057 . 283 320 0.058 . 284 320 0.060 . 285 320 0.056 . 286 320 0.057 . 287 320 0.056 . 288 320 0.052 . 289 320 0.054 . 290 320 0.058 . 291 320 0.052 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 0 0.77154892 3.1688184 2.1940192 0.0000000 9.0526136 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -2.5806401 2.6047740 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -4.8913582 2.4723949 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -14.675937 2.8899364 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -5.0032759 3.4993201 0.60261710 -0.0000000 7.1254516 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -2.2640477 2.4595020 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -4.2296775 3.7357023 1.1600002 1.3544035 7.4251183 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -2.4106693 2.9321902 1.1891325 -0.0000000 8.5356882 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 9 -18.713205 2.9418366 6.8106850 -0.0000000 16547.061 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -17.182606 3.5186601 1.3250153 -0.0000000 7.1417501 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 11 -12.243117 2.9205197 0.31748063 -0.0000000 8.9230584 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -11.778644 2.8415240 0.75871778 -0.0000000 8.5651368 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 13 -5.5977840 2.5491446 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 292 14 -7.3361705 3.4693131 0.58298679 0.66620608 8.0347117 1 . 292 320 0.112 . 293 320 0.068 . 294 320 0.052 . 295 320 0.057 . 296 320 0.053 . 297 320 0.055 . 298 320 0.067 . 299 320 0.052 . 300 320 0.055 . 301 320 0.063 . 302 320 0.062 . 303 320 0.054 . 304 320 0.059 . 305 320 0.054 . 306 320 0.059 . 307 320 0.059 . 308 320 0.058 . 309 320 0.053 . 310 320 0.056 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -3.8285469 3.8935964 2.2013561 2.6762942 7.2954335 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -15.420869 3.5040934 0.41456078 -0.0000000 7.3181829 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -6.5519179 2.9011560 0.67991700 -0.0000000 8.9123212 1 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 311 3 -24.345516 0.20679567 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -1.8355098 2.7876985 1.2825967 -0.0000000 8.0282597 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -1.0679841 2.7735986 1.2854627 -0.0000000 8.3532710 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -1.3635967 3.9122709 0.84428688 1.0403217 7.2809817 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -3.6622470 2.4329964 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -50.402068 2.9601990 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -22.992183 2.8880084 0.34233941 -0.0000000 8.8168264 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -25.993902 3.3677599 0.75138477 -0.0000000 6.8130782 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -14.463816 2.7414389 0.65758253 -0.0000000 8.7854612 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -19.559929 3.3906270 0.68902708 -0.0000000 6.9779496 1 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -12.536128 2.4932259 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: b2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -13.339548 2.7823638 0.54698100 -0.0000000 8.5003258 1 . 311 320 0.153 . 312 320 0.055 . 313 320 0.063 . 314 320 0.065 TRACE_MPFITPEAK: b2: POOR: spec, arc, peak, xerr, status, msg 315 0 8.0483796 0.20048724 . 315 320 0.075 . 316 320 0.056 . 317 320 0.055 . 318 320 0.062 . 319 320 0.064 FITARCIMAGE_GLOBAL: b2: Line 0, at 3983.8390 Ang: ERR= 0.121615 ERR_RMS= 0.0273865 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 1, at 4046.5720 Ang: ERR= 0.00384647 ERR_RMS= 0.000160290 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 2, at 4077.8380 Ang: ERR= 0.0124963 ERR_RMS= 0.000703158 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 3, at 4358.3370 Ang: ERR= 0.00274990 ERR_RMS= 0.0191355 pix, 2 masked. FITARCIMAGE_GLOBAL: b2: Line 4, at 4678.1490 Ang: ERR= 0.0247320 ERR_RMS= 0.00233892 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 5, at 4799.9120 Ang: ERR= 0.0129627 ERR_RMS= 0.00572533 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Line 6, at 4916.0700 Ang: ERR= 0.0475466 ERR_RMS= 0.00524005 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 7, at 5085.8220 Ang: ERR= 0.00995926 ERR_RMS= 0.00126185 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 8, at 5460.7530 Ang: ERR= 0.00229509 ERR_RMS= 0.00917960 pix, 3 masked. FITARCIMAGE_GLOBAL: b2: Line 9, at 5769.5980 Ang: ERR= 0.00490470 ERR_RMS= 0.000193509 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 10, at 5790.6630 Ang: ERR= 0.00505456 ERR_RMS= 0.000206451 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 11, at 5852.4880 Ang: ERR= 0.00779478 ERR_RMS= 0.000384679 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 12, at 5881.8950 Ang: ERR= 0.00994321 ERR_RMS= 0.000634178 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 13, at 5944.8340 Ang: ERR= 0.00763553 ERR_RMS= 0.000360633 pix, 4 masked. FITARCIMAGE_GLOBAL: b2: Line 14, at 6029.9970 Ang: ERR= 0.0159602 ERR_RMS= 0.000878387 pix, 5 masked. FITARCIMAGE_GLOBAL: b2: Number of good arc lines: 15 FITARCIMAGE_GLOBAL: b2: Number of arclines = 15 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 1 6 15 0 7 15 1 8 15 0 9 15 0 10 15 0 11 15 1 12 15 0 13 15 0 14 15 1 15 15 1 16 15 1 17 15 1 18 15 0 19 15 0 20 15 1 21 15 0 22 15 1 23 15 1 24 15 0 25 15 1 26 15 1 27 15 0 28 15 0 29 15 1 30 15 1 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 1 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 1 49 15 0 50 15 0 51 15 0 52 15 3 53 15 1 54 15 0 55 15 1 56 15 0 57 15 1 58 15 1 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 1 66 15 0 67 15 0 68 15 1 69 15 1 70 15 0 71 15 0 72 15 1 73 15 0 74 15 0 75 15 1 76 15 0 77 15 0 78 15 1 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 1 85 15 0 86 15 0 87 15 0 88 15 1 89 15 0 90 15 0 91 15 1 92 15 1 93 15 0 94 15 0 95 15 0 96 15 1 97 15 1 98 15 1 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 1 105 15 0 106 15 0 107 15 0 108 15 0 109 15 1 110 15 0 111 15 0 112 15 1 113 15 1 114 15 0 115 15 0 116 15 0 117 15 0 118 15 1 119 15 0 120 15 0 121 15 0 122 15 1 123 15 0 124 15 0 125 15 1 126 15 0 127 15 2 128 15 0 129 15 0 130 15 0 131 15 1 132 15 0 133 15 1 134 15 0 135 15 1 136 15 0 137 15 1 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 1 147 15 1 148 15 1 149 15 1 150 15 1 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 1 157 15 0 158 15 0 159 15 0 160 15 1 161 15 0 162 15 0 163 15 1 164 15 0 165 15 0 166 15 0 167 15 1 168 15 0 169 15 0 170 15 0 171 15 0 172 15 1 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 1 179 15 0 180 15 0 181 15 1 182 15 0 183 15 1 184 15 1 185 15 0 186 15 1 187 15 1 188 15 1 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 1 195 15 0 196 15 0 197 15 1 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 1 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 1 219 15 0 220 15 0 221 15 1 222 15 0 223 15 0 224 15 0 225 15 0 226 15 1 227 15 0 228 15 1 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 1 240 15 0 241 15 15 242 15 1 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 1 251 15 0 252 15 1 253 15 0 254 15 1 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 1 261 15 0 262 15 0 263 15 14 264 15 0 265 15 0 266 15 0 267 15 1 268 15 0 269 15 0 270 15 0 271 15 1 272 15 0 273 15 1 274 15 1 275 15 1 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 1 286 15 0 287 15 0 288 15 1 289 15 0 290 15 0 291 15 0 292 15 14 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 1 305 15 1 306 15 0 307 15 1 308 15 0 309 15 0 310 15 0 311 15 14 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 146 Pass 1 complete FITARCIMAGE_GLOBAL: b2: Number of arclines after bundle test = 15 FITARCLINES: b2: ncoeffs (x,y): 4 5 FITARCLINES: b2: errored out 4 fibers: 241 263 292 311 FITARCLINES: b2: fit rchi2: 0.086883279 FITARCLINES: b2: offset stddev: 320 1.9329481e-13 FITARCLINES: b2: scale stddev: 320 3.0937771e-13 FITARCLINES: b2: poly x,y,stddev: 0 0 6.8290816e-07 FITARCLINES: b2: poly x,y,stddev: 1 0 2.0019641e-06 FITARCLINES: b2: poly x,y,stddev: 2 0 1.5695406e-06 FITARCLINES: b2: poly x,y,stddev: 3 0 3.1598687e-06 FITARCLINES: b2: poly x,y,stddev: 0 1 4.5544389e-07 FITARCLINES: b2: poly x,y,stddev: 1 1 1.3355594e-06 FITARCLINES: b2: poly x,y,stddev: 2 1 1.0497268e-06 FITARCLINES: b2: poly x,y,stddev: 3 1 2.1114733e-06 FITARCLINES: b2: poly x,y,stddev: 0 2 4.6679055e-07 FITARCLINES: b2: poly x,y,stddev: 1 2 1.3864057e-06 FITARCLINES: b2: poly x,y,stddev: 2 2 1.0972574e-06 FITARCLINES: b2: poly x,y,stddev: 3 2 2.2096503e-06 FITARCLINES: b2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: b2: Total rejected = 0 FITARCIMAGE_GLOBAL: b2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: b2: IVAR=0 centroids masked: 59 Final arcfit complete FITARCIMAGE_GLOBAL: b2: Time 31. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 9 1.00 1.56 .0001 6 1.00 1.81 .0002 4 1.00 2.82 .0003 6 1.00 1.90 .0004 9 1.00 1.62 .0005 5 1.00 3.33 .0006 4 1.00 1.78 .0007 4 1.00 2.11 .0008 6 1.00 1.90 .0009 5 1.00 2.51 .0010 4 1.00 1.61 .0011 8 1.00 1.05 .0012 4 1.00 2.75 .0013 9 1.00 1.75 .0014 7 1.00 1.82 .0015 10 1.00 1.21 .0016 5 1.00 2.16 .0017 5 1.00 1.86 .0018 4 1.00 1.78 .0019 5 1.00 1.24 .0020 6 1.00 1.63 .0021 6 1.00 1.67 .0022 6 1.00 1.61 .0023 6 1.00 1.33 .0024 5 1.00 1.80 .0025 5 1.00 1.71 .0026 4 1.00 2.26 .0027 6 1.00 1.85 .0028 7 1.00 1.47 .0029 11 1.00 1.27 .0030 5 1.00 2.30 .0031 8 1.00 1.76 .0032 7 1.00 1.68 .0033 4 1.00 2.09 .0034 7 1.00 1.43 .0035 4 1.00 1.99 .0036 8 1.00 1.17 .0037 8 1.00 1.32 .0038 5 1.00 1.77 .0039 10 1.00 1.65 .0040 6 1.00 1.96 .0041 5 1.00 1.67 .0042 7 1.00 1.36 .0043 6 1.00 1.80 .0044 8 1.00 1.53 .0045 6 1.00 1.65 .0046 7 1.00 1.04 .0047 7 1.00 1.39 .0048 5 1.00 1.42 .0049 5 1.00 1.77 .0050 5 1.00 1.98 .0051 6 1.00 1.81 .0052 6 1.00 1.68 .0053 3 1.00 3.90 .0054 5 1.00 1.36 .0055 9 1.00 1.12 .0056 7 1.00 1.71 .0057 15 1.00 1.22 .0058 5 1.00 1.47 .0059 6 1.00 1.32 .0060 5 1.00 1.31 .0061 7 1.00 1.17 .0062 14 1.00 1.02 .0063 6 1.00 1.56 .0064 6 1.00 1.48 .0065 7 1.00 1.00 .0066 4 1.00 1.64 .0067 8 1.00 1.15 .0068 9 1.00 0.93 .0069 14 1.00 0.75 .0070 5 1.00 1.46 .0071 6 1.00 1.11 .0072 5 1.00 1.12 .0073 10 1.00 0.89 .0074 8 1.00 1.07 .0075 10 1.00 1.02 .0076 15 1.00 1.16 .0077 4 1.00 1.62 .0078 3 1.00 2.02 .0079 11 1.00 1.12 .0080 5 1.00 1.13 .0081 5 1.00 1.75 .0082 5 1.00 1.63 .0083 11 1.00 1.08 .0084 6 1.00 0.98 .0085 4 1.00 1.53 .0086 11 1.00 0.95 .0087 7 1.00 1.11 .0088 8 1.00 0.93 .0089 7 1.00 0.94 .0090 6 1.00 0.93 .0091 9 1.00 0.92 .0092 10 1.00 0.95 .0093 10 1.00 0.97 .0094 5 1.00 1.17 .0095 4 1.00 1.25 .0096 6 1.00 1.06 .0097 12 1.00 0.80 .0098 7 1.00 1.07 .0099 5 1.00 1.33 .0100 10 1.00 0.95 .0101 5 1.00 1.63 .0102 4 1.00 1.57 .0103 9 1.00 1.19 .0104 7 1.00 1.20 .0105 5 1.00 1.39 .0106 13 1.00 0.87 .0107 5 1.00 1.15 .0108 5 1.00 1.23 .0109 8 1.00 0.96 .0110 4 1.00 1.37 .0111 6 1.00 1.22 .0112 12 1.00 1.05 .0113 8 1.00 1.22 .0114 6 1.00 1.14 .0115 4 1.00 1.56 .0116 6 1.00 0.99 .0117 5 1.00 1.03 .0118 9 1.00 0.76 .0119 7 1.00 1.01 .0120 8 1.00 1.09 .0121 7 1.00 1.08 .0122 5 1.00 0.74 .0123 6 1.00 1.09 .0124 6 1.00 0.97 .0125 5 1.00 0.98 .0126 6 1.00 1.02 .0127 6 1.00 0.86 .0128 6 1.00 0.80 .0129 6 1.00 1.04 .0130 6 1.00 1.01 .0131 11 1.00 0.90 .0132 12 1.00 0.93 .0133 13 1.00 0.77 .0134 8 1.00 0.98 .0135 13 1.00 1.04 .0136 5 1.00 1.19 .0137 8 1.00 0.93 .0138 6 1.00 1.49 .0139 5 1.00 0.84 .0140 5 1.00 0.84 .0141 6 1.00 1.06 .0142 7 1.00 1.00 .0143 5 1.00 1.31 .0144 6 1.00 1.40 .0145 7 1.00 1.08 .0146 5 1.00 1.14 .0147 6 1.00 0.97 .0148 6 1.00 1.36 .0149 6 1.00 1.15 .0150 5 1.00 1.16 .0151 5 1.00 1.25 .0152 6 1.00 1.01 .0153 7 1.00 1.09 .0154 5 1.00 1.51 .0155 7 1.00 1.33 .0156 10 1.00 1.13 .0157 7 1.00 1.22 .0158 9 1.00 1.13 .0159 8 1.00 1.07 .0160 7 1.00 0.91 .0161 6 1.00 1.03 .0162 8 1.00 0.98 .0163 6 1.00 1.29 .0164 6 1.00 1.21 .0165 8 1.00 1.00 .0166 7 1.00 1.40 .0167 8 1.00 1.37 .0168 6 1.00 0.94 .0169 7 1.00 0.94 .0170 5 1.00 1.05 .0171 6 1.00 1.05 .0172 6 1.00 1.18 .0173 6 1.00 1.56 .0174 7 1.00 1.16 .0175 5 1.00 1.47 .0176 7 1.00 0.93 .0177 10 1.00 1.11 .0178 7 1.00 1.11 .0179 8 1.00 0.99 .0180 6 1.00 1.11 .0181 8 1.00 1.10 .0182 7 1.00 0.95 .0183 5 1.00 1.38 .0184 8 1.00 0.90 .0185 5 1.00 1.29 .0186 6 1.00 0.93 .0187 13 1.00 0.92 .0188 11 1.00 1.10 .0189 14 1.00 1.07 .0190 12 1.00 1.17 .0191 9 1.00 1.46 .0192 10 1.00 1.20 .0193 8 1.00 1.14 .0194 6 1.00 1.40 .0195 9 1.00 1.25 .0196 7 1.00 1.15 .0197 7 1.00 1.29 .0198 7 1.00 1.14 .0199 6 1.00 1.28 .0200 5 1.00 1.11 .0201 5 1.00 1.17 .0202 5 1.00 1.30 .0203 10 1.00 0.91 .0204 11 1.00 1.30 .0205 9 1.00 1.35 .0206 5 1.00 1.35 .0207 10 1.00 1.23 .0208 11 1.00 0.95 .0209 10 1.00 1.02 .0210 11 1.00 1.16 .0211 7 1.00 1.29 .0212 6 1.00 1.17 .0213 7 1.00 1.03 .0214 8 1.00 1.06 .0215 11 1.00 1.02 .0216 4 1.00 1.63 .0217 9 1.00 1.00 .0218 4 1.00 1.67 .0219 6 1.00 0.96 .0220 5 1.00 0.97 .0221 8 1.00 0.93 .0222 5 1.00 0.87 .0223 9 1.00 0.86 .0224 9 1.00 0.95 .0225 5 1.00 1.11 .0226 4 1.00 1.64 .0227 6 1.00 1.11 .0228 10 1.00 1.15 .0229 10 1.00 1.06 .0230 11 1.00 0.89 .0231 11 1.00 0.75 .0232 6 1.00 0.98 .0233 6 1.00 0.89 .0234 6 1.00 0.86 .0235 10 1.00 0.93 .0236 9 1.00 1.01 .0237 10 1.00 0.98 .0238 10 1.00 0.85 .0239 9 1.00 1.09 .0240 10 1.00 0.79 .0241 1 1.00 0.30 .0242 6 1.00 0.86 .0243 5 1.00 1.18 .0244 7 1.00 0.95 .0245 6 1.00 0.85 .0246 12 1.00 0.85 .0247 13 1.00 0.88 .0248 5 1.00 1.18 .0249 9 1.00 0.89 .0250 6 1.00 1.01 .0251 6 1.00 1.18 .0252 10 1.00 0.97 .0253 12 1.00 1.00 .0254 10 1.00 1.20 .0255 7 1.00 1.09 .0256 6 1.00 1.07 .0257 11 1.00 0.95 .0258 4 1.00 1.89 .0259 6 1.00 1.17 .0260 10 1.00 0.82 .0261 9 1.00 1.16 .0262 12 1.00 0.95 .0263 1 1.00 0.41 .0264 7 1.00 1.50 .0265 7 1.00 1.44 .0266 7 1.00 1.46 .0267 13 1.00 1.08 .0268 13 1.00 1.07 .0269 7 1.00 1.36 .0270 6 1.00 1.25 .0271 6 1.00 1.51 .0272 5 1.00 1.69 .0273 6 1.00 1.62 .0274 5 1.00 1.98 .0275 5 1.00 2.07 .0276 8 1.00 1.55 .0277 8 1.00 1.30 .0278 4 1.00 2.20 .0279 4 1.00 2.51 .0280 8 1.00 1.26 .0281 5 1.00 1.68 .0282 7 1.00 1.87 .0283 6 1.00 2.26 .0284 9 1.00 1.41 .0285 4 1.00 1.98 .0286 6 1.00 1.98 .0287 6 1.00 1.79 .0288 9 1.00 1.22 .0289 7 1.00 1.70 .0290 6 1.00 1.66 .0291 8 1.00 1.68 .0292 1 1.00 0.58 .0293 8 1.00 1.50 .0294 4 1.00 1.93 .0295 5 1.00 2.40 .0296 7 1.00 1.53 .0297 7 1.00 1.98 .0298 6 1.00 1.67 .0299 5 1.00 1.79 .0300 13 1.00 1.30 .0301 6 1.00 1.80 .0302 4 1.00 1.98 .0303 4 1.00 2.08 .0304 8 1.00 1.55 .0305 12 1.00 1.49 .0306 4 1.00 1.95 .0307 7 1.00 1.64 .0308 6 1.00 1.54 .0309 11 1.00 1.32 .0310 4 1.00 1.83 .0311 2 1.00 0.68 .0312 5 1.00 1.82 .0313 4 1.00 1.98 .0314 5 1.00 2.01 .0315 6 1.00 1.66 .0316 5 1.00 1.79 .0317 4 1.00 2.23 .0318 5 1.00 1.99 .0319 5 1.00 2.48 EXTRACT_IMAGE: b2: masked 4056 pixels TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: b2: Total rejected = 0 FITDISPERSION: b2: Median wavelength widths = 0.85 0.84 0.87 0.85 pix (LL LR UL UR) SPCALIB: b2: Create fiberflats for flat # 1 of 2 SPCALIB: b2: Flat sdR-b2-00034750.fit paired with arc sdR-b2-00034751.fit SPCALIB: b2: Reading flat sdR-b2-00034750.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.90686 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1224.76 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1205. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.39531 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1198.20 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1181. DN is 0 SDSSPROC: b2: Number of bleading columns = 1 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.20 .0001 1 0.91 1.56 .0002 1 0.91 1.24 .0003 1 0.91 1.27 .0004 1 0.91 1.18 .0005 1 0.91 1.20 .0006 1 0.91 1.23 .0007 1 0.91 1.12 .0008 1 0.91 1.18 .0009 1 0.91 1.21 .0010 1 0.91 1.16 .0011 1 0.91 1.21 .0012 1 0.91 1.21 .0013 1 0.91 1.25 .0014 1 0.91 1.24 .0015 1 0.91 1.29 .0016 1 0.91 1.19 .0017 1 0.91 1.31 .0018 1 0.91 1.16 .0019 1 0.91 1.19 .0020 1 0.91 1.17 .0021 1 0.91 1.18 .0022 1 0.91 1.13 .0023 1 0.91 1.19 .0024 1 0.91 1.26 .0025 1 0.91 1.21 .0026 1 0.91 1.22 .0027 1 0.91 1.13 .0028 1 0.91 1.14 .0029 1 0.91 1.19 .0030 1 0.91 1.11 .0031 1 0.91 1.17 .0032 2 0.91 1.22 .0033 1 0.91 1.13 .0034 1 0.91 1.10 .0035 3 0.91 1.09 .0036 1 0.91 1.38 .0037 1 0.91 1.12 .0038 1 0.91 1.23 .0039 1 0.91 1.15 .0040 1 0.91 1.19 .0041 1 0.91 1.12 .0042 1 0.91 1.12 .0043 1 0.91 1.13 .0044 2 0.91 1.12 .0045 1 0.91 1.10 .0046 1 0.91 1.12 .0047 1 0.91 1.17 .0048 1 0.91 1.15 .0049 1 0.91 1.11 .0050 1 0.91 1.18 .0051 1 0.91 1.12 .0052 3 0.91 1.09 .0053 1 0.91 1.12 .0054 1 0.91 1.16 .0055 1 0.91 1.10 .0056 1 0.91 1.11 .0057 1 0.91 1.13 .0058 1 0.91 1.14 .0059 1 0.91 1.13 .0060 1 0.91 1.12 .0061 1 0.91 1.12 .0062 1 0.91 1.09 .0063 1 0.91 1.14 .0064 2 0.91 1.31 .0065 1 0.91 1.12 .0066 1 0.91 1.08 .0067 1 0.91 1.12 .0068 1 0.91 1.20 .0069 2 0.91 1.19 .0070 3 0.91 1.15 .0071 1 0.91 1.20 .0072 1 0.91 1.31 .0073 1 0.91 1.21 .0074 1 0.91 1.17 .0075 1 0.91 1.18 .0076 1 0.91 1.14 .0077 1 0.91 1.16 .0078 3 0.91 1.17 .0079 2 0.91 1.36 .0080 1 0.91 1.26 .0081 1 0.91 1.22 .0082 1 0.91 1.26 .0083 1 0.91 1.22 .0084 1 0.91 1.28 .0085 1 0.91 1.24 .0086 1 0.91 1.31 .0087 1 0.91 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1 0.92 1.39 .0144 1 0.92 1.36 .0145 1 0.92 1.44 .0146 1 0.92 1.34 .0147 1 0.92 1.44 .0148 1 0.92 1.41 .0149 1 0.92 1.50 .0150 1 0.92 1.48 .0151 1 0.92 1.36 .0152 1 0.92 1.40 .0153 1 0.92 1.54 .0154 1 0.92 1.53 .0155 1 0.92 1.46 .0156 1 0.92 1.39 .0157 1 0.92 1.49 .0158 1 0.92 1.47 .0159 1 0.92 1.50 .0160 1 0.92 1.49 .0161 1 0.92 1.47 .0162 1 0.92 1.39 .0163 3 0.92 1.37 .0164 1 0.92 1.45 .0165 1 0.92 1.38 .0166 1 0.92 1.44 .0167 1 0.92 1.49 .0168 1 0.92 1.65 .0169 1 0.92 1.49 .0170 3 0.92 1.39 .0171 1 0.92 1.48 .0172 1 0.92 1.39 .0173 1 0.92 1.38 .0174 1 0.92 1.54 .0175 1 0.92 1.40 .0176 1 0.92 1.45 .0177 1 0.92 1.40 .0178 2 0.92 1.52 .0179 1 0.92 1.52 .0180 1 0.92 1.43 .0181 1 0.92 1.45 .0182 1 0.92 1.41 .0183 1 0.92 1.40 .0184 1 0.92 1.45 .0185 1 0.92 1.47 .0186 1 0.92 1.43 .0187 1 0.92 1.35 .0188 1 0.92 1.43 .0189 1 0.92 1.42 .0190 1 0.92 1.46 .0191 1 0.92 1.57 .0192 2 0.92 1.43 .0193 1 0.92 1.51 .0194 1 0.92 1.47 .0195 1 0.92 1.44 .0196 1 0.92 1.41 .0197 1 0.92 1.50 .0198 1 0.92 1.56 .0199 1 0.92 1.49 .0200 1 0.92 1.44 .0201 1 0.92 1.44 .0202 1 0.92 1.49 .0203 1 0.92 1.48 .0204 1 0.92 1.38 .0205 1 0.92 1.41 .0206 1 0.92 1.53 .0207 1 0.92 1.43 .0208 1 0.92 1.45 .0209 1 0.92 1.45 .0210 1 0.92 1.49 .0211 1 0.92 1.43 .0212 1 0.92 1.54 .0213 1 0.92 1.48 .0214 1 0.92 1.44 .0215 1 0.92 1.48 .0216 1 0.92 1.51 .0217 1 0.92 1.49 .0218 1 0.92 1.50 .0219 1 0.92 1.54 .0220 1 0.92 1.57 .0221 1 0.92 1.51 .0222 1 0.92 1.56 .0223 1 0.92 1.56 .0224 1 0.92 1.54 .0225 1 0.92 1.62 .0226 1 0.92 1.56 .0227 1 0.92 1.54 .0228 1 0.92 1.58 .0229 1 0.92 1.55 .0230 1 0.92 1.56 .0231 1 0.92 1.57 .0232 1 0.92 1.48 .0233 1 0.92 1.38 .0234 1 0.92 1.49 .0235 1 0.92 1.54 .0236 1 0.92 1.47 .0237 1 0.92 1.60 .0238 1 0.92 1.59 .0239 1 0.92 1.57 .0240 1 0.92 1.60 .0241 1 0.92 1.63 .0242 1 0.92 1.61 .0243 1 0.92 1.61 .0244 1 0.92 1.60 .0245 2 0.92 1.68 .0246 1 0.92 1.63 .0247 1 0.92 1.57 .0248 1 0.92 1.57 .0249 1 0.92 1.55 .0250 1 0.92 1.61 .0251 1 0.92 1.61 .0252 1 0.92 1.64 .0253 1 0.92 1.73 .0254 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1 0.94 2.71 .2031 1 0.94 2.84 .2032 1 0.94 2.83 .2033 1 0.94 2.83 .2034 1 0.94 2.78 .2035 1 0.94 2.57 .2036 1 0.94 2.72 .2037 1 0.94 2.67 .2038 1 0.94 2.73 .2039 3 0.94 2.65 .2040 2 0.94 2.80 .2041 1 0.94 2.64 .2042 1 0.94 2.75 .2043 1 0.94 2.73 .2044 1 0.94 2.61 .2045 2 0.94 2.84 .2046 1 0.94 2.73 .2047 1 0.94 2.53 EXTRACT_IMAGE: b2: masked 158 pixels DOSCATTER: b2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b2: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b2: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.01 0.06 Step 14 of 2080 0.62 64 0.02 0.11 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.02 0.11 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.02 0.11 Step 34 of 2080 0.61 64 0.02 0.11 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.02 0.11 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.02 0.12 Step 58 of 2080 0.61 64 0.02 0.12 Step 62 of 2080 0.61 64 0.03 0.12 Step 66 of 2080 0.61 64 0.02 0.11 Step 70 of 2080 0.61 64 0.02 0.11 Step 74 of 2080 0.61 64 0.03 0.11 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.02 0.11 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.61 64 0.02 0.11 Step 94 of 2080 0.61 64 0.02 0.11 Step 98 of 2080 0.60 64 0.02 0.11 Step 102 of 2080 0.60 64 0.02 0.11 Step 106 of 2080 0.60 64 0.02 0.11 Step 110 of 2080 0.60 64 0.02 0.11 Step 114 of 2080 0.60 64 0.02 0.10 Step 118 of 2080 0.60 64 0.02 0.10 Step 122 of 2080 0.60 64 0.02 0.11 Step 126 of 2080 0.60 64 0.02 0.11 Step 130 of 2080 0.60 64 0.02 0.11 Step 134 of 2080 0.60 64 0.02 0.10 Step 138 of 2080 0.60 64 0.02 0.11 Step 142 of 2080 0.60 64 0.02 0.11 Step 146 of 2080 0.60 64 0.02 0.11 Step 150 of 2080 0.60 64 0.03 0.11 Step 154 of 2080 0.60 64 0.02 0.11 Step 158 of 2080 0.60 64 0.03 0.11 Step 162 of 2080 0.60 64 0.03 0.11 Step 166 of 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2080 0.41 64 0.03 0.11 Step 1746 of 2080 0.41 64 0.03 0.11 Step 1750 of 2080 0.41 64 0.03 0.11 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.12 Step 1762 of 2080 0.41 64 0.03 0.13 Step 1766 of 2080 0.41 64 0.03 0.13 Step 1770 of 2080 0.41 64 0.03 0.12 Step 1774 of 2080 0.41 64 0.03 0.13 Step 1778 of 2080 0.41 64 0.03 0.11 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.12 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.11 Step 1798 of 2080 0.41 64 0.03 0.11 Step 1802 of 2080 0.41 64 0.03 0.12 Step 1806 of 2080 0.41 64 0.03 0.12 Step 1810 of 2080 0.41 64 0.03 0.13 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.05 0.15 Step 1834 of 2080 0.40 64 0.03 0.11 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.04 0.12 Step 1846 of 2080 0.40 64 0.04 0.13 Step 1850 of 2080 0.40 64 0.03 0.12 Step 1854 of 2080 0.40 64 0.03 0.11 Step 1858 of 2080 0.40 64 0.03 0.11 Step 1862 of 2080 0.40 64 0.03 0.11 Step 1866 of 2080 0.40 64 0.04 0.14 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.03 0.12 Step 1878 of 2080 0.40 64 0.04 0.13 Step 1882 of 2080 0.40 64 0.03 0.12 Step 1886 of 2080 0.40 64 0.03 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.11 Step 1898 of 2080 0.40 64 0.03 0.11 Step 1902 of 2080 0.40 64 0.03 0.11 Step 1906 of 2080 0.40 64 0.03 0.11 Step 1910 of 2080 0.40 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.11 Step 1922 of 2080 0.39 64 0.03 0.11 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.11 Step 1934 of 2080 0.39 64 0.03 0.11 Step 1938 of 2080 0.39 64 0.03 0.13 Step 1942 of 2080 0.39 64 0.05 0.13 Step 1946 of 2080 0.39 64 0.04 0.13 Step 1950 of 2080 0.39 64 0.03 0.13 Step 1954 of 2080 0.39 64 0.03 0.12 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.03 0.12 Step 1966 of 2080 0.39 64 0.03 0.12 Step 1970 of 2080 0.39 64 0.03 0.13 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.04 0.13 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.04 0.14 Step 1994 of 2080 0.39 64 0.03 0.13 Step 1998 of 2080 0.39 64 0.03 0.14 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.39 64 0.03 0.13 Step 2010 of 2080 0.39 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.11 Step 2018 of 2080 0.38 64 0.03 0.12 Step 2022 of 2080 0.38 64 0.03 0.13 Step 2026 of 2080 0.38 64 0.03 0.13 Step 2030 of 2080 0.38 64 0.03 0.13 Step 2034 of 2080 0.38 64 0.03 0.13 Step 2038 of 2080 0.38 64 0.03 0.13 Step 2042 of 2080 0.38 64 0.03 0.13 Step 2046 of 2080 0.38 64 0.03 0.13 Step 2050 of 2080 0.38 64 0.04 0.13 Step 2054 of 2080 0.38 64 0.04 0.12 Step 2058 of 2080 0.38 64 0.04 0.13 Step 2062 of 2080 0.38 64 0.05 0.16 Step 2066 of 2080 0.38 64 0.05 0.16 Step 2070 of 2080 0.38 64 0.04 0.15 Step 2074 of 2080 0.38 64 0.05 0.15 Step 2078 of 2080 0.38 64 0.04 0.16 ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.21 .0001 1 0.91 1.58 .0002 1 0.91 1.33 .0003 1 0.91 1.32 .0004 1 0.91 1.26 .0005 1 0.91 1.30 .0006 1 0.91 1.33 .0007 1 0.91 1.18 .0008 1 0.91 1.28 .0009 1 0.91 1.26 .0010 1 0.91 1.22 .0011 1 0.91 1.28 .0012 1 0.91 1.27 .0013 1 0.91 1.32 .0014 1 0.91 1.27 .0015 1 0.91 1.35 .0016 1 0.91 1.23 .0017 1 0.91 1.36 .0018 1 0.91 1.20 .0019 1 0.91 1.22 .0020 1 0.91 1.21 .0021 1 0.91 1.18 .0022 1 0.91 1.14 .0023 1 0.91 1.21 .0024 1 0.91 1.28 .0025 1 0.91 1.24 .0026 1 0.91 1.23 .0027 1 0.91 1.12 .0028 1 0.91 1.14 .0029 1 0.91 1.19 .0030 1 0.91 1.10 .0031 1 0.91 1.15 .0032 2 0.91 1.22 .0033 1 0.91 1.12 .0034 1 0.91 1.10 .0035 3 0.91 1.07 .0036 1 0.91 1.37 .0037 1 0.91 1.08 .0038 1 0.91 1.21 .0039 1 0.91 1.13 .0040 1 0.91 1.16 .0041 1 0.91 1.10 .0042 1 0.91 1.12 .0043 1 0.91 1.11 .0044 2 0.91 1.11 .0045 1 0.91 1.08 .0046 1 0.91 1.10 .0047 1 0.91 1.14 .0048 1 0.91 1.11 .0049 1 0.91 1.10 .0050 1 0.91 1.15 .0051 1 0.91 1.09 .0052 3 0.91 1.07 .0053 1 0.91 1.09 .0054 1 0.91 1.15 .0055 1 0.91 1.08 .0056 1 0.91 1.08 .0057 1 0.91 1.12 .0058 1 0.91 1.12 .0059 1 0.91 1.11 .0060 1 0.91 1.10 .0061 1 0.91 1.10 .0062 1 0.91 1.08 .0063 1 0.91 1.12 .0064 2 0.91 1.29 .0065 1 0.91 1.09 .0066 1 0.91 1.04 .0067 1 0.91 1.09 .0068 1 0.91 1.17 .0069 2 0.91 1.15 .0070 3 0.91 1.13 .0071 1 0.91 1.17 .0072 1 0.91 1.27 .0073 1 0.91 1.19 .0074 1 0.91 1.16 .0075 1 0.91 1.16 .0076 1 0.91 1.12 .0077 1 0.91 1.12 .0078 3 0.91 1.16 .0079 2 0.91 1.34 .0080 1 0.91 1.24 .0081 1 0.91 1.21 .0082 1 0.91 1.23 .0083 1 0.91 1.20 .0084 1 0.91 1.26 .0085 1 0.91 1.21 .0086 1 0.91 1.28 .0087 1 0.91 1.26 .0088 1 0.91 1.26 .0089 1 0.91 1.20 .0090 1 0.91 1.28 .0091 1 0.91 1.31 .0092 1 0.91 1.28 .0093 1 0.91 1.32 .0094 1 0.91 1.29 .0095 2 0.91 1.24 .0096 1 0.91 1.26 .0097 1 0.91 1.30 .0098 1 0.91 1.25 .0099 1 0.91 1.39 .0100 3 0.91 1.33 .0101 1 0.91 1.37 .0102 1 0.91 1.28 .0103 1 0.91 1.34 .0104 1 0.91 1.36 .0105 1 0.91 1.42 .0106 1 0.91 1.42 .0107 1 0.91 1.37 .0108 1 0.91 1.39 .0109 1 0.91 1.32 .0110 1 0.91 1.32 .0111 1 0.91 1.36 .0112 1 0.91 1.33 .0113 1 0.91 1.32 .0114 1 0.91 1.47 .0115 1 0.91 1.42 .0116 1 0.91 1.34 .0117 1 0.91 1.44 .0118 1 0.91 1.33 .0119 1 0.91 1.38 .0120 3 0.91 1.35 .0121 1 0.91 1.49 .0122 1 0.91 1.34 .0123 1 0.91 1.40 .0124 1 0.91 1.39 .0125 1 0.91 1.34 .0126 1 0.91 1.36 .0127 2 0.91 1.48 .0128 1 0.91 1.66 .0129 1 0.91 1.39 .0130 1 0.91 1.47 .0131 1 0.91 1.37 .0132 1 0.91 1.42 .0133 1 0.91 1.38 .0134 1 0.91 1.36 .0135 1 0.91 1.40 .0136 1 0.91 1.32 .0137 1 0.91 1.37 .0138 1 0.91 1.46 .0139 1 0.91 1.51 .0140 1 0.91 1.48 .0141 1 0.91 1.40 .0142 1 0.92 1.35 .0143 1 0.92 1.32 .0144 1 0.92 1.32 .0145 1 0.92 1.40 .0146 1 0.92 1.31 .0147 1 0.92 1.38 .0148 1 0.92 1.37 .0149 1 0.92 1.45 .0150 1 0.92 1.45 .0151 1 0.92 1.31 .0152 1 0.92 1.35 .0153 1 0.92 1.48 .0154 1 0.92 1.47 .0155 1 0.92 1.41 .0156 1 0.92 1.34 .0157 1 0.92 1.46 .0158 1 0.92 1.42 .0159 1 0.92 1.44 .0160 1 0.92 1.44 .0161 1 0.92 1.43 .0162 1 0.92 1.35 .0163 3 0.92 1.33 .0164 1 0.92 1.39 .0165 1 0.92 1.33 .0166 1 0.92 1.39 .0167 1 0.92 1.42 .0168 1 0.92 1.60 .0169 1 0.92 1.44 .0170 3 0.92 1.34 .0171 1 0.92 1.42 .0172 1 0.92 1.35 .0173 1 0.92 1.34 .0174 1 0.92 1.50 .0175 1 0.92 1.34 .0176 1 0.92 1.38 .0177 1 0.92 1.33 .0178 2 0.92 1.44 .0179 1 0.92 1.47 .0180 1 0.92 1.38 .0181 1 0.92 1.41 .0182 1 0.92 1.35 .0183 1 0.92 1.33 .0184 1 0.92 1.41 .0185 1 0.92 1.41 .0186 1 0.92 1.39 .0187 1 0.92 1.30 .0188 1 0.92 1.37 .0189 1 0.92 1.35 .0190 1 0.92 1.39 .0191 1 0.92 1.49 .0192 2 0.92 1.37 .0193 1 0.92 1.44 .0194 1 0.92 1.42 .0195 1 0.92 1.37 .0196 1 0.92 1.36 .0197 1 0.92 1.46 .0198 1 0.92 1.49 .0199 1 0.92 1.41 .0200 1 0.92 1.37 .0201 1 0.92 1.38 .0202 1 0.92 1.44 .0203 1 0.92 1.44 .0204 1 0.92 1.34 .0205 1 0.92 1.34 .0206 1 0.92 1.45 .0207 1 0.92 1.36 .0208 1 0.92 1.41 .0209 1 0.92 1.36 .0210 1 0.92 1.42 .0211 1 0.92 1.38 .0212 1 0.92 1.46 .0213 1 0.92 1.42 .0214 1 0.92 1.36 .0215 1 0.92 1.42 .0216 1 0.92 1.43 .0217 1 0.92 1.42 .0218 1 0.92 1.44 .0219 1 0.92 1.48 .0220 1 0.92 1.50 .0221 1 0.92 1.44 .0222 1 0.92 1.50 .0223 1 0.92 1.49 .0224 1 0.92 1.47 .0225 1 0.92 1.53 .0226 1 0.92 1.49 .0227 1 0.92 1.47 .0228 1 0.92 1.50 .0229 1 0.92 1.50 .0230 1 0.92 1.49 .0231 1 0.92 1.50 .0232 1 0.92 1.39 .0233 1 0.92 1.32 .0234 1 0.92 1.42 .0235 1 0.92 1.47 .0236 1 0.92 1.40 .0237 1 0.92 1.51 .0238 1 0.92 1.51 .0239 1 0.92 1.49 .0240 1 0.92 1.53 .0241 1 0.92 1.55 .0242 1 0.92 1.54 .0243 1 0.92 1.54 .0244 1 0.92 1.51 .0245 2 0.92 1.59 .0246 1 0.92 1.54 .0247 1 0.92 1.49 .0248 1 0.92 1.50 .0249 1 0.92 1.49 .0250 1 0.92 1.53 .0251 1 0.92 1.51 .0252 1 0.92 1.58 .0253 1 0.92 1.64 .0254 1 0.92 1.55 .0255 1 0.92 1.50 .0256 1 0.92 1.57 .0257 1 0.92 1.59 .0258 1 0.92 1.52 .0259 1 0.92 1.52 .0260 1 0.92 1.53 .0261 1 0.92 1.53 .0262 1 0.92 1.56 .0263 1 0.92 1.47 .0264 1 0.92 1.58 .0265 1 0.92 1.66 .0266 1 0.92 1.57 .0267 1 0.92 1.63 .0268 1 0.92 1.67 .0269 1 0.92 1.63 .0270 1 0.92 1.71 .0271 1 0.92 1.68 .0272 1 0.92 1.73 .0273 1 0.92 1.67 .0274 1 0.92 1.84 .0275 1 0.92 1.70 .0276 1 0.92 1.69 .0277 1 0.92 1.72 .0278 1 0.92 1.82 .0279 1 0.92 1.70 .0280 1 0.92 1.74 .0281 1 0.92 1.83 .0282 2 0.92 1.86 .0283 1 0.92 1.88 .0284 1 0.92 1.96 .0285 1 0.92 2.33 .0286 3 0.92 2.03 .0287 1 0.92 1.83 .0288 1 0.92 1.82 .0289 1 0.92 1.88 .0290 1 0.92 1.96 .0291 1 0.92 1.86 .0292 1 0.92 1.95 .0293 1 0.92 1.94 .0294 1 0.92 1.96 .0295 2 0.92 2.23 .0296 1 0.92 2.34 .0297 1 0.92 1.88 .0298 1 0.92 1.93 .0299 1 0.92 1.96 .0300 1 0.92 2.13 .0301 1 0.92 2.32 .0302 1 0.92 2.21 .0303 1 0.92 2.15 .0304 1 0.92 2.15 .0305 1 0.92 2.17 .0306 1 0.92 2.19 .0307 1 0.92 2.56 .0308 2 0.93 2.28 .0309 2 0.93 2.08 .0310 2 0.93 2.13 .0311 1 0.93 2.61 .0312 1 0.93 2.26 .0313 1 0.93 2.18 .0314 1 0.93 2.38 .0315 1 0.93 2.46 .0316 1 0.93 2.34 .0317 1 0.93 2.65 .0318 1 0.93 2.33 .0319 1 0.93 2.42 .0320 1 0.93 2.24 .0321 1 0.93 2.29 .0322 1 0.93 2.49 .0323 1 0.93 2.37 .0324 1 0.93 2.43 .0325 1 0.93 2.36 .0326 1 0.93 2.36 .0327 1 0.93 2.37 .0328 1 0.93 2.43 .0329 1 0.93 2.52 .0330 1 0.93 2.45 .0331 1 0.93 2.45 .0332 1 0.93 2.46 .0333 1 0.93 2.46 .0334 1 0.93 2.51 .0335 1 0.93 2.47 .0336 1 0.93 2.39 .0337 1 0.93 2.62 .0338 1 0.93 2.64 .0339 1 0.93 2.56 .0340 1 0.93 2.51 .0341 1 0.93 2.61 .0342 1 0.93 2.59 .0343 1 0.93 2.69 .0344 1 0.93 2.66 .0345 1 0.93 2.76 .0346 1 0.93 2.62 .0347 1 0.93 2.70 .0348 1 0.93 2.84 .0349 1 0.93 2.69 .0350 1 0.93 2.69 .0351 1 0.93 2.82 .0352 1 0.93 2.78 .0353 1 0.93 2.97 .0354 1 0.93 2.84 .0355 1 0.93 3.00 .0356 1 0.93 3.05 .0357 1 0.93 3.04 .0358 1 0.93 3.09 .0359 1 0.93 2.82 .0360 1 0.93 2.92 .0361 1 0.93 2.98 .0362 1 0.93 2.92 .0363 1 0.93 3.04 .0364 1 0.93 2.97 .0365 1 0.93 3.03 .0366 1 0.93 2.96 .0367 1 0.93 3.08 .0368 1 0.93 3.06 .0369 1 0.93 3.10 .0370 1 0.93 3.09 .0371 1 0.93 3.12 .0372 1 0.93 2.91 .0373 1 0.93 3.08 .0374 1 0.93 3.08 .0375 1 0.93 3.06 .0376 1 0.93 3.20 .0377 1 0.93 3.19 .0378 1 0.93 3.68 .0379 1 0.93 3.19 .0380 1 0.93 3.07 .0381 1 0.93 3.18 .0382 1 0.93 3.27 .0383 1 0.93 3.35 .0384 1 0.93 3.30 .0385 1 0.93 3.33 .0386 1 0.93 3.15 .0387 1 0.93 3.34 .0388 1 0.93 3.34 .0389 1 0.93 3.23 .0390 1 0.93 3.38 .0391 1 0.93 3.85 .0392 2 0.93 3.33 .0393 1 0.93 3.41 .0394 1 0.93 3.49 .0395 1 0.93 3.25 .0396 1 0.93 3.41 .0397 1 0.93 3.45 .0398 1 0.93 3.43 .0399 1 0.93 3.47 .0400 1 0.93 3.63 .0401 1 0.93 3.59 .0402 1 0.93 3.53 .0403 1 0.93 3.42 .0404 1 0.93 3.45 .0405 1 0.93 3.26 .0406 1 0.93 3.46 .0407 1 0.93 3.39 .0408 1 0.93 3.43 .0409 1 0.93 3.64 .0410 1 0.93 3.64 .0411 1 0.93 3.40 .0412 1 0.93 3.54 .0413 1 0.93 3.44 .0414 1 0.93 3.66 .0415 1 0.93 3.57 .0416 1 0.93 3.68 .0417 1 0.93 3.60 .0418 1 0.93 3.52 .0419 1 0.93 3.50 .0420 1 0.93 3.60 .0421 1 0.93 3.57 .0422 1 0.93 3.73 .0423 1 0.93 3.68 .0424 1 0.93 3.47 .0425 1 0.93 4.24 .0426 1 0.93 3.70 .0427 1 0.93 3.72 .0428 1 0.93 3.77 .0429 1 0.93 3.62 .0430 1 0.93 3.81 .0431 2 0.93 3.69 .0432 1 0.93 4.49 .0433 1 0.93 3.54 .0434 2 0.93 4.24 .0435 1 0.93 3.93 .0436 2 0.93 4.80 .0437 1 0.93 4.51 .0438 2 0.93 4.10 .0439 1 0.93 4.81 .0440 1 0.93 4.25 .0441 1 0.93 5.34 .0442 1 0.93 3.95 .0443 1 0.93 4.96 .0444 1 0.93 4.02 .0445 2 0.93 4.16 .0446 1 0.93 4.11 .0447 1 0.93 4.30 .0448 4 0.93 3.96 .0449 3 0.93 4.20 .0450 1 0.93 3.78 .0451 2 0.93 4.85 .0452 1 0.93 3.99 .0453 2 0.93 3.89 .0454 3 0.93 3.79 .0455 2 0.93 4.31 .0456 2 0.93 4.77 .0457 1 0.93 4.94 .0458 2 0.93 5.00 .0459 1 0.93 4.00 .0460 1 0.93 3.95 .0461 3 0.93 3.98 .0462 1 0.93 4.16 .0463 1 0.93 4.34 .0464 1 0.93 3.80 .0465 1 0.93 3.88 .0466 1 0.93 3.80 .0467 1 0.93 3.97 .0468 1 0.93 4.01 .0469 1 0.93 3.96 .0470 1 0.93 3.98 .0471 1 0.93 3.86 .0472 1 0.93 4.05 .0473 1 0.93 3.91 .0474 1 0.93 3.97 .0475 1 0.93 4.06 .0476 1 0.93 3.90 .0477 1 0.93 4.01 .0478 1 0.93 4.04 .0479 1 0.93 3.89 .0480 1 0.93 4.00 .0481 1 0.93 4.15 .0482 1 0.93 4.02 .0483 1 0.93 4.10 .0484 1 0.93 4.20 .0485 1 0.93 4.06 .0486 1 0.93 4.06 .0487 1 0.93 3.96 .0488 1 0.93 3.90 .0489 1 0.93 4.01 .0490 1 0.93 4.12 .0491 1 0.93 4.03 .0492 1 0.93 3.86 .0493 1 0.93 3.89 .0494 1 0.93 4.05 .0495 1 0.93 3.94 .0496 1 0.93 4.35 .0497 1 0.93 3.83 .0498 1 0.93 3.86 .0499 1 0.93 3.87 .0500 1 0.93 3.87 .0501 1 0.93 3.89 .0502 1 0.93 3.83 .0503 1 0.93 3.88 .0504 1 0.93 3.81 .0505 1 0.93 3.79 .0506 1 0.93 3.78 .0507 1 0.93 4.18 .0508 1 0.93 3.89 .0509 1 0.93 3.78 .0510 1 0.93 3.79 .0511 1 0.93 3.99 .0512 1 0.93 3.84 .0513 1 0.93 3.83 .0514 1 0.93 3.83 .0515 1 0.93 3.90 .0516 1 0.93 4.05 .0517 1 0.93 3.81 .0518 1 0.93 3.89 .0519 1 0.93 3.90 .0520 1 0.93 3.84 .0521 1 0.93 3.91 .0522 1 0.93 3.85 .0523 1 0.93 3.85 .0524 1 0.93 3.71 .0525 1 0.93 3.78 .0526 1 0.93 3.75 .0527 1 0.93 3.93 .0528 1 0.93 3.82 .0529 1 0.93 4.00 .0530 1 0.93 3.66 .0531 1 0.93 3.87 .0532 1 0.93 3.88 .0533 1 0.93 3.50 .0534 1 0.93 3.60 .0535 1 0.93 3.65 .0536 1 0.93 3.74 .0537 1 0.93 3.59 .0538 1 0.93 3.63 .0539 1 0.93 3.60 .0540 1 0.93 3.63 .0541 1 0.93 3.73 .0542 1 0.93 3.53 .0543 1 0.93 3.58 .0544 1 0.93 3.78 .0545 1 0.93 3.47 .0546 1 0.93 3.67 .0547 1 0.93 3.61 .0548 1 0.93 3.66 .0549 1 0.93 3.49 .0550 1 0.93 3.45 .0551 1 0.93 3.77 .0552 1 0.93 3.52 .0553 1 0.93 3.67 .0554 1 0.93 3.77 .0555 1 0.93 3.53 .0556 1 0.93 3.70 .0557 1 0.93 3.57 .0558 1 0.93 3.75 .0559 1 0.93 3.57 .0560 1 0.93 3.64 .0561 1 0.93 3.58 .0562 1 0.93 3.55 .0563 1 0.93 3.50 .0564 1 0.93 3.48 .0565 1 0.93 3.53 .0566 1 0.93 3.70 .0567 1 0.93 3.71 .0568 1 0.93 3.49 .0569 1 0.93 3.62 .0570 2 0.93 3.72 .0571 1 0.93 3.76 .0572 1 0.93 3.52 .0573 1 0.93 3.49 .0574 2 0.93 3.59 .0575 1 0.93 3.47 .0576 1 0.93 3.62 .0577 1 0.93 3.60 .0578 1 0.93 3.60 .0579 1 0.93 3.50 .0580 1 0.93 3.45 .0581 1 0.93 3.46 .0582 1 0.93 3.52 .0583 1 0.93 3.51 .0584 1 0.93 3.41 .0585 1 0.93 3.41 .0586 1 0.93 3.56 .0587 1 0.93 3.61 .0588 1 0.93 3.43 .0589 1 0.93 3.47 .0590 1 0.93 3.56 .0591 1 0.93 3.36 .0592 1 0.93 3.47 .0593 1 0.93 3.59 .0594 1 0.93 3.36 .0595 1 0.93 3.42 .0596 1 0.93 3.33 .0597 1 0.93 4.21 .0598 1 0.93 3.44 .0599 1 0.93 3.35 .0600 1 0.93 3.38 .0601 1 0.93 3.26 .0602 1 0.93 3.50 .0603 1 0.93 3.36 .0604 1 0.93 3.28 .0605 1 0.93 3.41 .0606 1 0.93 3.28 .0607 1 0.93 3.37 .0608 1 0.93 3.39 .0609 1 0.93 3.47 .0610 1 0.93 3.41 .0611 1 0.93 3.26 .0612 1 0.93 3.28 .0613 1 0.93 3.19 .0614 1 0.93 3.39 .0615 1 0.93 3.50 .0616 1 0.93 3.18 .0617 1 0.93 3.31 .0618 1 0.93 3.28 .0619 1 0.93 3.38 .0620 1 0.93 3.31 .0621 1 0.93 3.34 .0622 1 0.93 3.34 .0623 1 0.93 3.22 .0624 1 0.93 3.24 .0625 1 0.93 3.19 .0626 1 0.93 3.31 .0627 1 0.93 3.21 .0628 1 0.93 3.26 .0629 1 0.93 3.24 .0630 1 0.93 3.14 .0631 1 0.93 3.21 .0632 1 0.93 3.23 .0633 1 0.93 3.08 .0634 1 0.93 3.37 .0635 2 0.93 3.27 .0636 2 0.93 3.23 .0637 1 0.93 3.12 .0638 3 0.93 3.27 .0639 1 0.93 3.25 .0640 1 0.93 3.21 .0641 1 0.93 3.24 .0642 1 0.93 3.13 .0643 1 0.93 3.31 .0644 1 0.93 3.40 .0645 1 0.93 3.25 .0646 1 0.93 3.11 .0647 1 0.93 3.15 .0648 1 0.93 3.18 .0649 1 0.93 3.25 .0650 1 0.93 3.11 .0651 1 0.93 3.20 .0652 1 0.93 3.29 .0653 1 0.93 3.02 .0654 1 0.93 3.05 .0655 1 0.93 3.17 .0656 1 0.93 3.20 .0657 1 0.93 3.13 .0658 1 0.93 3.08 .0659 1 0.93 3.27 .0660 1 0.93 3.19 .0661 1 0.93 3.31 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.1883 1 0.92 3.24 .1884 1 0.92 3.42 .1885 1 0.92 3.29 .1886 1 0.92 3.41 .1887 1 0.92 3.40 .1888 1 0.92 3.28 .1889 1 0.92 3.28 .1890 1 0.92 3.36 .1891 1 0.92 3.36 .1892 1 0.92 3.43 .1893 2 0.92 3.79 .1894 1 0.92 3.41 .1895 1 0.92 3.30 .1896 1 0.92 3.30 .1897 1 0.92 3.37 .1898 2 0.92 3.67 .1899 2 0.92 3.26 .1900 2 0.92 3.42 .1901 3 0.92 3.39 .1902 1 0.92 3.26 .1903 1 0.92 3.35 .1904 1 0.92 3.42 .1905 1 0.92 3.27 .1906 1 0.92 3.42 .1907 1 0.92 3.24 .1908 1 0.92 3.25 .1909 1 0.92 3.27 .1910 1 0.92 3.19 .1911 1 0.92 3.16 .1912 1 0.92 3.17 .1913 1 0.92 3.34 .1914 1 0.92 3.27 .1915 1 0.92 3.19 .1916 1 0.92 3.09 .1917 1 0.92 3.19 .1918 1 0.92 3.19 .1919 1 0.92 3.23 .1920 1 0.92 3.12 .1921 1 0.92 3.15 .1922 1 0.92 3.28 .1923 1 0.92 3.10 .1924 1 0.92 3.30 .1925 1 0.92 3.20 .1926 1 0.92 3.29 .1927 1 0.92 3.18 .1928 1 0.92 3.16 .1929 1 0.92 3.19 .1930 1 0.92 3.18 .1931 1 0.92 3.19 .1932 1 0.92 3.30 .1933 1 0.93 3.19 .1934 1 0.93 3.30 .1935 1 0.93 3.26 .1936 1 0.93 3.34 .1937 1 0.93 3.17 .1938 1 0.93 3.20 .1939 1 0.93 3.07 .1940 1 0.93 3.16 .1941 1 0.93 3.05 .1942 2 0.93 3.12 .1943 1 0.93 3.03 .1944 1 0.93 3.00 .1945 1 0.93 3.10 .1946 1 0.93 3.06 .1947 1 0.93 3.14 .1948 1 0.93 3.14 .1949 1 0.93 3.09 .1950 1 0.93 2.94 .1951 1 0.93 3.13 .1952 1 0.93 2.98 .1953 1 0.93 3.17 .1954 1 0.93 3.06 .1955 1 0.93 3.01 .1956 1 0.93 3.07 .1957 2 0.93 3.14 .1958 2 0.93 3.03 .1959 1 0.93 2.95 .1960 1 0.93 2.99 .1961 1 0.93 2.97 .1962 1 0.93 2.90 .1963 1 0.93 2.97 .1964 1 0.93 3.08 .1965 1 0.93 2.86 .1966 1 0.93 2.98 .1967 1 0.93 2.93 .1968 1 0.93 3.10 .1969 1 0.93 3.01 .1970 1 0.93 3.31 .1971 1 0.93 2.97 .1972 1 0.93 2.96 .1973 1 0.93 3.02 .1974 1 0.93 2.99 .1975 1 0.93 3.01 .1976 1 0.93 2.85 .1977 1 0.93 2.98 .1978 1 0.93 2.82 .1979 1 0.93 2.91 .1980 1 0.93 2.77 .1981 1 0.93 2.92 .1982 1 0.93 2.80 .1983 1 0.93 2.77 .1984 1 0.93 3.00 .1985 1 0.93 2.64 .1986 1 0.93 2.87 .1987 1 0.93 2.82 .1988 1 0.93 2.63 .1989 1 0.93 2.85 .1990 1 0.93 2.85 .1991 1 0.93 2.92 .1992 1 0.93 2.84 .1993 1 0.93 2.74 .1994 1 0.93 2.46 .1995 1 0.93 2.71 .1996 1 0.93 2.82 .1997 1 0.93 2.76 .1998 1 0.93 2.66 .1999 1 0.93 2.72 .2000 1 0.93 2.94 .2001 1 0.93 2.70 .2002 1 0.93 2.84 .2003 2 0.93 2.58 .2004 1 0.93 2.85 .2005 1 0.93 2.71 .2006 1 0.93 2.71 .2007 1 0.93 2.65 .2008 1 0.93 2.54 .2009 1 0.93 2.85 .2010 1 0.93 2.56 .2011 1 0.93 2.63 .2012 1 0.93 2.56 .2013 1 0.93 2.68 .2014 1 0.94 2.59 .2015 1 0.94 2.56 .2016 1 0.94 2.60 .2017 1 0.94 2.66 .2018 1 0.94 2.53 .2019 1 0.94 2.62 .2020 1 0.94 2.73 .2021 1 0.94 2.70 .2022 1 0.94 2.65 .2023 1 0.94 2.51 .2024 1 0.94 2.34 .2025 2 0.94 2.69 .2026 1 0.94 2.56 .2027 1 0.94 2.61 .2028 1 0.94 2.45 .2029 1 0.94 2.39 .2030 1 0.94 2.41 .2031 1 0.94 2.57 .2032 1 0.94 2.51 .2033 1 0.94 2.53 .2034 1 0.94 2.52 .2035 1 0.94 2.35 .2036 1 0.94 2.42 .2037 1 0.94 2.41 .2038 1 0.94 2.45 .2039 3 0.94 2.38 .2040 2 0.94 2.59 .2041 1 0.94 2.38 .2042 1 0.94 2.50 .2043 1 0.94 2.44 .2044 1 0.94 2.37 .2045 2 0.94 2.57 .2046 1 0.94 2.47 .2047 1 0.94 2.29 EXTRACT_IMAGE: b2: masked 179 pixels SPCALIB: b2: First extraction chi^2 1.07808 5.73178 SPCALIB: b2: Second extraction chi^2 1.04390 5.34057 SUPERFLAT: b2: Creating superflat from 315 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174Lowest breakpoint does not cover lowest x value: changing .0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: b2: Number of fiberflat points LE 0 = 9082 SPCALIB: b2: Create fiberflats for flat # 2 of 2 SPCALIB: b2: Flat sdR-b2-00034756.fit paired with arc sdR-b2-00034757.fit SPCALIB: b2: Reading flat sdR-b2-00034756.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: b2: Selecting op file opConfig-50000.par FINDOPFILE: b2: Selecting op file opBC-51813.par SDSSPROC: b2: Measured read-noise in DN for amp# 2 = 3.86447 SDSSPROC: b2: Measured bias value in DN for amp# 2 = 1225.71 SDSSPROC: b2: Applying gain for amp# 2 = 1.23000 SDSSPROC: b2: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: b2: Measured read-noise in DN for amp# 3 = 3.32554 SDSSPROC: b2: Measured bias value in DN for amp# 3 = 1198.60 SDSSPROC: b2: Applying gain for amp# 3 = 1.26000 SDSSPROC: b2: Amp #3 Number of pix below bias-5*sigma= 1182. DN is 0 SDSSPROC: b2: Number of bleading columns = 1 FINDOPFILE: b2: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: b2: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: b2: Selecting op file pixflatave-53678-b2.fits SDSSPROC: b2: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.16 .0001 1 0.91 1.24 .0002 1 0.91 1.21 .0003 1 0.91 1.12 .0004 1 0.91 1.21 .0005 1 0.91 1.12 .0006 1 0.91 1.22 .0007 1 0.91 1.20 .0008 1 0.91 1.14 .0009 1 0.91 1.23 .0010 1 0.91 1.21 .0011 2 0.91 1.19 .0012 1 0.91 1.20 .0013 1 0.91 1.22 .0014 1 0.91 1.20 .0015 1 0.91 1.12 .0016 1 0.91 1.18 .0017 1 0.91 1.24 .0018 1 0.91 1.08 .0019 1 0.91 1.16 .0020 1 0.91 1.06 .0021 1 0.91 1.09 .0022 1 0.91 1.20 .0023 1 0.91 1.19 .0024 1 0.91 1.12 .0025 1 0.91 1.16 .0026 1 0.91 1.20 .0027 1 0.91 1.13 .0028 1 0.91 1.20 .0029 1 0.91 1.18 .0030 1 0.91 1.13 .0031 1 0.91 1.05 .0032 1 0.91 1.11 .0033 1 0.91 1.13 .0034 2 0.91 1.14 .0035 2 0.91 1.16 .0036 1 0.91 1.23 .0037 1 0.91 1.19 .0038 3 0.91 1.28 .0039 1 0.91 1.09 .0040 1 0.91 1.10 .0041 1 0.91 1.14 .0042 1 0.91 1.20 .0043 1 0.91 1.17 .0044 1 0.91 1.19 .0045 1 0.91 1.19 .0046 1 0.91 1.09 .0047 1 0.91 1.11 .0048 1 0.91 1.12 .0049 1 0.91 1.09 .0050 1 0.91 1.16 .0051 1 0.91 1.17 .0052 1 0.91 1.15 .0053 1 0.91 1.06 .0054 2 0.91 1.10 .0055 1 0.91 1.10 .0056 1 0.91 1.09 .0057 1 0.91 1.06 .0058 1 0.91 1.14 .0059 1 0.91 1.14 .0060 1 0.91 1.11 .0061 1 0.91 1.16 .0062 1 0.91 1.07 .0063 1 0.91 1.11 .0064 1 0.91 1.20 .0065 1 0.91 1.16 .0066 1 0.91 1.15 .0067 1 0.91 1.25 .0068 1 0.91 1.10 .0069 1 0.91 1.26 .0070 1 0.91 1.09 .0071 1 0.91 1.14 .0072 1 0.91 1.22 .0073 1 0.91 1.22 .0074 1 0.91 1.15 .0075 1 0.91 1.18 .0076 1 0.91 1.29 .0077 1 0.91 1.40 .0078 1 0.91 1.19 .0079 1 0.91 1.20 .0080 1 0.91 1.29 .0081 3 0.91 1.27 .0082 5 0.91 1.33 .0083 1 0.91 1.25 .0084 1 0.91 1.27 .0085 1 0.91 1.33 .0086 1 0.91 1.23 .0087 1 0.91 1.37 .0088 2 0.91 1.32 .0089 1 0.91 1.21 .0090 1 0.91 1.38 .0091 1 0.91 1.31 .0092 1 0.91 1.27 .0093 1 0.91 1.31 .0094 1 0.91 1.50 .0095 2 0.91 1.41 .0096 3 0.91 1.44 .0097 1 0.91 1.44 .0098 1 0.91 1.35 .0099 1 0.91 1.34 .0100 1 0.91 1.31 .0101 1 0.91 1.34 .0102 1 0.91 1.41 .0103 1 0.91 1.34 .0104 1 0.91 1.42 .0105 2 0.91 1.37 .0106 1 0.91 1.40 .0107 1 0.91 1.37 .0108 1 0.91 1.39 .0109 1 0.91 1.37 .0110 1 0.91 1.43 .0111 1 0.91 1.38 .0112 1 0.91 1.38 .0113 1 0.91 1.45 .0114 1 0.91 1.46 .0115 1 0.91 1.46 .0116 1 0.91 1.48 .0117 1 0.91 1.41 .0118 1 0.91 1.45 .0119 1 0.91 1.39 .0120 1 0.91 1.39 .0121 1 0.91 1.39 .0122 1 0.91 1.41 .0123 1 0.91 1.32 .0124 1 0.91 1.47 .0125 1 0.91 1.39 .0126 1 0.91 1.36 .0127 1 0.91 1.40 .0128 1 0.91 1.57 .0129 1 0.91 1.31 .0130 1 0.91 1.43 .0131 1 0.91 1.41 .0132 1 0.91 1.43 .0133 1 0.91 1.39 .0134 1 0.91 1.41 .0135 1 0.91 1.39 .0136 1 0.91 1.29 .0137 1 0.91 1.44 .0138 1 0.91 1.43 .0139 1 0.91 1.46 .0140 1 0.91 1.42 .0141 1 0.91 1.41 .0142 1 0.91 1.59 .0143 1 0.91 1.41 .0144 1 0.91 1.44 .0145 2 0.91 1.53 .0146 2 0.91 1.29 .0147 2 0.91 1.47 .0148 1 0.91 1.40 .0149 1 0.91 1.32 .0150 1 0.91 1.41 .0151 1 0.91 1.47 .0152 1 0.91 1.35 .0153 1 0.91 1.40 .0154 1 0.91 1.38 .0155 1 0.91 1.41 .0156 1 0.91 1.40 .0157 1 0.91 1.35 .0158 1 0.91 1.41 .0159 1 0.91 1.34 .0160 1 0.91 1.49 .0161 1 0.91 1.43 .0162 1 0.91 1.62 .0163 1 0.91 1.46 .0164 1 0.91 1.47 .0165 1 0.91 1.37 .0166 1 0.91 1.44 .0167 1 0.91 1.42 .0168 1 0.92 1.41 .0169 1 0.92 1.35 .0170 1 0.92 1.40 .0171 1 0.92 1.44 .0172 1 0.92 1.44 .0173 1 0.92 1.41 .0174 2 0.92 1.51 .0175 4 0.92 1.53 .0176 1 0.92 1.49 .0177 1 0.92 1.41 .0178 1 0.92 1.37 .0179 2 0.92 1.43 .0180 1 0.92 1.36 .0181 1 0.92 1.40 .0182 1 0.92 1.41 .0183 1 0.92 1.39 .0184 1 0.92 1.40 .0185 1 0.92 1.32 .0186 1 0.92 1.51 .0187 1 0.92 1.39 .0188 1 0.92 1.42 .0189 1 0.92 1.34 .0190 1 0.92 1.41 .0191 1 0.92 1.45 .0192 3 0.92 1.42 .0193 1 0.92 1.50 .0194 1 0.92 1.47 .0195 1 0.92 1.43 .0196 1 0.92 1.47 .0197 1 0.92 1.58 .0198 1 0.92 1.49 .0199 1 0.92 1.51 .0200 1 0.92 1.45 .0201 1 0.92 1.48 .0202 1 0.92 1.41 .0203 1 0.92 1.48 .0204 1 0.92 1.43 .0205 1 0.92 1.42 .0206 1 0.92 1.40 .0207 1 0.92 1.49 .0208 1 0.92 1.43 .0209 1 0.92 1.38 .0210 1 0.92 1.55 .0211 1 0.92 1.53 .0212 1 0.92 1.42 .0213 1 0.92 1.47 .0214 1 0.92 1.44 .0215 1 0.92 1.50 .0216 1 0.92 1.50 .0217 1 0.92 1.53 .0218 1 0.92 1.44 .0219 1 0.92 1.44 .0220 1 0.92 1.56 .0221 1 0.92 1.52 .0222 1 0.92 1.54 .0223 1 0.92 1.55 .0224 1 0.92 1.53 .0225 1 0.92 1.59 .0226 1 0.92 1.60 .0227 1 0.92 1.53 .0228 1 0.92 1.56 .0229 1 0.92 1.70 .0230 1 0.92 1.47 .0231 1 0.92 1.59 .0232 1 0.92 1.52 .0233 1 0.92 1.51 .0234 1 0.92 1.65 .0235 1 0.92 1.58 .0236 1 0.92 1.58 .0237 1 0.92 1.64 .0238 1 0.92 1.55 .0239 1 0.92 1.42 .0240 1 0.92 1.55 .0241 1 0.92 1.62 .0242 1 0.92 1.57 .0243 1 0.92 1.50 .0244 1 0.92 1.61 .0245 1 0.92 1.56 .0246 1 0.92 1.56 .0247 1 0.92 1.53 .0248 1 0.92 1.55 .0249 1 0.92 1.59 .0250 1 0.92 1.57 .0251 1 0.92 1.55 .0252 1 0.92 1.63 .0253 1 0.92 1.65 .0254 1 0.92 1.62 .0255 1 0.92 1.60 .0256 1 0.92 1.60 .0257 1 0.92 1.55 .0258 1 0.92 1.71 .0259 1 0.92 1.61 .0260 1 0.92 1.53 .0261 1 0.92 1.58 .0262 1 0.92 1.66 .0263 1 0.92 1.76 .0264 1 0.92 1.71 .0265 1 0.92 1.68 .0266 1 0.92 1.69 .0267 1 0.92 1.76 .0268 1 0.92 1.71 .0269 1 0.92 1.82 .0270 1 0.92 1.70 .0271 1 0.92 1.74 .0272 1 0.92 1.80 .0273 1 0.92 1.80 .0274 1 0.92 1.83 .0275 1 0.92 1.93 .0276 1 0.92 1.81 .0277 1 0.92 1.75 .0278 1 0.92 1.83 .0279 1 0.92 1.85 .0280 1 0.92 1.89 .0281 1 0.92 1.93 .0282 1 0.92 1.85 .0283 1 0.92 1.83 .0284 1 0.92 1.98 .0285 1 0.92 1.96 .0286 1 0.92 2.00 .0287 1 0.92 1.97 .0288 1 0.92 2.06 .0289 2 0.92 2.08 .0290 2 0.92 2.31 .0291 1 0.92 1.97 .0292 1 0.92 2.11 .0293 1 0.92 1.97 .0294 1 0.92 2.14 .0295 1 0.92 2.09 .0296 1 0.92 2.02 .0297 1 0.92 2.03 .0298 1 0.92 2.16 .0299 1 0.92 2.20 .0300 1 0.92 2.18 .0301 1 0.92 2.28 .0302 1 0.92 2.28 .0303 1 0.92 2.22 .0304 1 0.92 2.33 .0305 1 0.92 2.31 .0306 1 0.92 2.34 .0307 1 0.92 2.32 .0308 1 0.92 2.24 .0309 1 0.92 2.33 .0310 1 0.92 2.33 .0311 1 0.92 2.49 .0312 1 0.92 2.64 .0313 1 0.92 2.49 .0314 1 0.92 2.34 .0315 1 0.92 2.38 .0316 1 0.92 2.34 .0317 1 0.92 2.38 .0318 1 0.92 2.45 .0319 1 0.92 2.62 .0320 1 0.92 2.45 .0321 1 0.92 2.52 .0322 1 0.92 2.58 .0323 1 0.92 2.54 .0324 1 0.92 2.64 .0325 1 0.92 2.62 .0326 1 0.92 2.47 .0327 1 0.92 2.62 .0328 1 0.92 2.46 .0329 1 0.92 2.65 .0330 1 0.92 2.57 .0331 1 0.92 2.70 .0332 1 0.92 2.64 .0333 1 0.92 2.59 .0334 1 0.92 2.56 .0335 1 0.92 2.64 .0336 1 0.92 2.71 .0337 1 0.92 2.65 .0338 1 0.92 2.68 .0339 1 0.92 2.63 .0340 1 0.92 2.80 .0341 2 0.92 2.73 .0342 1 0.92 2.86 .0343 1 0.92 2.82 .0344 1 0.92 2.81 .0345 1 0.92 2.81 .0346 1 0.92 2.87 .0347 1 0.92 2.86 .0348 1 0.92 2.92 .0349 1 0.92 2.95 .0350 1 0.92 2.99 .0351 1 0.92 2.80 .0352 1 0.92 2.85 .0353 1 0.92 3.14 .0354 1 0.92 3.08 .0355 1 0.92 3.19 .0356 1 0.92 3.19 .0357 1 0.92 3.15 .0358 1 0.92 3.13 .0359 1 0.92 3.11 .0360 1 0.92 3.04 .0361 1 0.92 3.26 .0362 1 0.92 3.14 .0363 1 0.92 3.22 .0364 1 0.92 3.20 .0365 1 0.92 3.03 .0366 1 0.92 3.07 .0367 1 0.92 3.17 .0368 1 0.92 3.07 .0369 1 0.92 3.25 .0370 1 0.92 3.39 .0371 1 0.92 3.25 .0372 1 0.92 3.24 .0373 1 0.92 3.32 .0374 1 0.92 3.36 .0375 1 0.92 3.31 .0376 1 0.92 3.30 .0377 1 0.92 3.57 .0378 2 0.92 3.68 .0379 2 0.92 3.89 .0380 1 0.92 3.45 .0381 1 0.92 3.23 .0382 1 0.92 3.38 .0383 2 0.92 3.62 .0384 1 0.92 3.39 .0385 1 0.92 3.57 .0386 1 0.92 3.63 .0387 1 0.92 3.53 .0388 1 0.92 3.51 .0389 1 0.92 3.77 .0390 1 0.92 3.59 .0391 1 0.92 3.74 .0392 1 0.92 3.65 .0393 1 0.92 3.42 .0394 1 0.92 3.66 .0395 1 0.92 3.48 .0396 1 0.92 3.71 .0397 1 0.92 3.86 .0398 1 0.92 3.58 .0399 1 0.92 3.80 .0400 1 0.92 4.45 .0401 2 0.92 3.94 .0402 2 0.92 3.81 .0403 1 0.92 4.05 .0404 1 0.92 3.83 .0405 2 0.92 3.67 .0406 1 0.93 4.07 .0407 1 0.93 3.99 .0408 1 0.93 3.87 .0409 1 0.93 3.78 .0410 1 0.93 3.86 .0411 1 0.93 3.92 .0412 1 0.93 3.83 .0413 1 0.93 3.93 .0414 1 0.93 4.11 .0415 1 0.93 3.71 .0416 1 0.93 3.89 .0417 1 0.93 3.68 .0418 1 0.93 3.75 .0419 1 0.93 3.99 .0420 1 0.93 3.87 .0421 1 0.93 4.17 .0422 1 0.93 3.92 .0423 1 0.93 4.06 .0424 1 0.93 3.88 .0425 1 0.93 3.92 .0426 1 0.93 3.96 .0427 1 0.93 4.02 .0428 1 0.93 4.07 .0429 1 0.93 3.99 .0430 1 0.93 4.03 .0431 1 0.93 4.05 .0432 1 0.93 4.08 .0433 1 0.93 3.99 .0434 1 0.93 4.03 .0435 1 0.93 3.88 .0436 1 0.93 4.13 .0437 1 0.93 4.19 .0438 1 0.93 4.10 .0439 1 0.93 4.08 .0440 1 0.93 4.46 .0441 1 0.93 4.06 .0442 1 0.93 4.11 .0443 1 0.93 4.30 .0444 1 0.93 4.32 .0445 1 0.93 4.17 .0446 1 0.93 3.98 .0447 1 0.93 4.16 .0448 1 0.93 4.26 .0449 1 0.93 4.56 .0450 1 0.93 4.26 .0451 1 0.93 4.35 .0452 1 0.93 4.23 .0453 1 0.93 4.15 .0454 1 0.93 4.27 .0455 1 0.93 4.23 .0456 1 0.93 4.27 .0457 1 0.93 4.31 .0458 1 0.93 4.30 .0459 1 0.93 4.27 .0460 1 0.93 4.30 .0461 1 0.93 4.25 .0462 1 0.93 4.06 .0463 1 0.93 4.32 .0464 1 0.93 4.36 .0465 1 0.93 4.45 .0466 1 0.93 4.23 .0467 1 0.93 4.25 .0468 1 0.93 4.46 .0469 1 0.93 4.24 .0470 1 0.93 4.33 .0471 2 0.93 4.38 .0472 1 0.93 4.89 .0473 2 0.93 4.45 .0474 1 0.93 4.34 .0475 1 0.93 4.89 .0476 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1 0.92 3.68 .1920 1 0.92 3.89 .1921 1 0.92 3.49 .1922 1 0.92 3.58 .1923 1 0.92 3.56 .1924 1 0.92 3.30 .1925 1 0.92 3.50 .1926 1 0.92 3.52 .1927 1 0.92 3.50 .1928 1 0.92 3.74 .1929 1 0.92 3.43 .1930 1 0.92 3.65 .1931 1 0.92 3.58 .1932 1 0.92 3.51 .1933 1 0.92 3.27 .1934 1 0.92 3.69 .1935 1 0.92 3.64 .1936 1 0.92 3.50 .1937 1 0.92 3.59 .1938 1 0.92 3.49 .1939 1 0.92 3.54 .1940 1 0.92 3.58 .1941 1 0.92 3.50 .1942 1 0.92 3.46 .1943 1 0.92 3.34 .1944 1 0.92 3.34 .1945 1 0.92 3.39 .1946 1 0.92 3.52 .1947 1 0.92 3.59 .1948 1 0.92 3.31 .1949 1 0.92 3.39 .1950 1 0.92 3.47 .1951 1 0.92 3.41 .1952 1 0.92 3.47 .1953 1 0.92 3.43 .1954 1 0.92 3.29 .1955 1 0.92 3.34 .1956 1 0.92 3.32 .1957 1 0.92 3.50 .1958 1 0.92 3.55 .1959 1 0.92 3.50 .1960 1 0.92 3.36 .1961 1 0.92 3.80 .1962 2 0.92 3.60 .1963 2 0.92 3.19 .1964 1 0.92 3.32 .1965 1 0.92 3.26 .1966 1 0.92 3.31 .1967 1 0.93 3.30 .1968 1 0.93 3.22 .1969 1 0.93 3.23 .1970 1 0.93 3.25 .1971 1 0.93 3.27 .1972 1 0.93 3.05 .1973 1 0.93 3.33 .1974 1 0.93 3.22 .1975 1 0.93 3.17 .1976 1 0.93 3.23 .1977 1 0.93 3.20 .1978 1 0.93 3.17 .1979 2 0.93 3.24 .1980 1 0.93 3.12 .1981 1 0.93 3.12 .1982 1 0.93 3.44 .1983 1 0.93 3.12 .1984 1 0.93 3.10 .1985 1 0.93 3.23 .1986 1 0.93 3.05 .1987 1 0.93 3.11 .1988 1 0.93 3.02 .1989 1 0.93 3.07 .1990 1 0.93 2.88 .1991 1 0.93 3.23 .1992 1 0.93 3.02 .1993 1 0.93 3.14 .1994 1 0.93 3.01 .1995 1 0.93 2.97 .1996 1 0.93 3.03 .1997 1 0.93 2.95 .1998 2 0.93 3.04 .1999 1 0.93 2.99 .2000 1 0.93 2.87 .2001 1 0.93 2.97 .2002 1 0.93 3.00 .2003 1 0.93 2.86 .2004 1 0.93 2.92 .2005 1 0.93 3.07 .2006 1 0.93 3.07 .2007 1 0.93 3.27 .2008 1 0.93 2.87 .2009 1 0.93 2.94 .2010 1 0.93 2.89 .2011 1 0.93 3.23 .2012 1 0.93 2.87 .2013 1 0.93 2.82 .2014 1 0.93 2.91 .2015 1 0.93 2.97 .2016 1 0.93 2.91 .2017 2 0.93 2.96 .2018 1 0.93 2.77 .2019 1 0.93 2.79 .2020 1 0.93 2.83 .2021 2 0.93 3.00 .2022 1 0.93 2.99 .2023 1 0.93 2.69 .2024 1 0.93 2.74 .2025 1 0.93 2.77 .2026 2 0.93 3.23 .2027 1 0.93 2.91 .2028 1 0.93 2.76 .2029 1 0.93 2.74 .2030 1 0.93 3.13 .2031 1 0.93 2.68 .2032 1 0.93 2.65 .2033 1 0.93 2.65 .2034 1 0.93 2.64 .2035 1 0.93 2.59 .2036 1 0.93 2.69 .2037 1 0.93 2.67 .2038 1 0.93 2.69 .2039 1 0.93 2.72 .2040 1 0.94 2.66 .2041 1 0.94 2.57 .2042 1 0.94 2.66 .2043 1 0.94 2.66 .2044 1 0.94 2.60 .2045 1 0.94 2.65 .2046 1 0.94 2.78 .2047 1 0.94 2.50 EXTRACT_IMAGE: b2: masked 134 pixels DOSCATTER: b2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: b2: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: b2: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.01 0.06 Step 14 of 2080 0.62 64 0.02 0.11 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.02 0.11 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.02 0.11 Step 34 of 2080 0.61 64 0.02 0.11 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.02 0.11 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.02 0.11 Step 58 of 2080 0.61 64 0.03 0.12 Step 62 of 2080 0.61 64 0.02 0.11 Step 66 of 2080 0.61 64 0.02 0.11 Step 70 of 2080 0.61 64 0.02 0.11 Step 74 of 2080 0.61 64 0.02 0.11 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.02 0.11 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.61 64 0.02 0.11 Step 94 of 2080 0.61 64 0.02 0.11 Step 98 of 2080 0.60 64 0.02 0.11 Step 102 of 2080 0.60 64 0.02 0.11 Step 106 of 2080 0.60 64 0.02 0.11 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.03 0.11 Step 118 of 2080 0.60 64 0.02 0.10 Step 122 of 2080 0.60 64 0.02 0.10 Step 126 of 2080 0.60 64 0.02 0.11 Step 130 of 2080 0.60 64 0.02 0.11 Step 134 of 2080 0.60 64 0.02 0.11 Step 138 of 2080 0.60 64 0.02 0.11 Step 142 of 2080 0.60 64 0.02 0.11 Step 146 of 2080 0.60 64 0.03 0.11 Step 150 of 2080 0.60 64 0.03 0.11 Step 154 of 2080 0.60 64 0.02 0.11 Step 158 of 2080 0.60 64 0.02 0.11 Step 162 of 2080 0.60 64 0.02 0.12 Step 166 of 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0.13 Step 510 of 2080 0.55 64 0.02 0.11 Step 514 of 2080 0.55 64 0.02 0.11 Step 518 of 2080 0.55 64 0.02 0.11 Step 522 of 2080 0.55 64 0.03 0.12 Step 526 of 2080 0.55 64 0.03 0.11 Step 530 of 2080 0.55 64 0.03 0.11 Step 534 of 2080 0.55 64 0.02 0.11 Step 538 of 2080 0.55 64 0.02 0.11 Step 542 of 2080 0.55 64 0.02 0.11 Step 546 of 2080 0.55 64 0.02 0.11 Step 550 of 2080 0.55 64 0.02 0.11 Step 554 of 2080 0.55 64 0.02 0.11 Step 558 of 2080 0.55 64 0.02 0.12 Step 562 of 2080 0.55 64 0.03 0.12 Step 566 of 2080 0.55 64 0.03 0.12 Step 570 of 2080 0.55 64 0.02 0.11 Step 574 of 2080 0.55 64 0.02 0.11 Step 578 of 2080 0.55 64 0.03 0.12 Step 582 of 2080 0.54 64 0.02 0.12 Step 586 of 2080 0.54 64 0.02 0.12 Step 590 of 2080 0.54 64 0.03 0.12 Step 594 of 2080 0.54 64 0.03 0.12 Step 598 of 2080 0.54 64 0.03 0.11 Step 602 of 2080 0.54 64 0.03 0.11 Step 606 of 2080 0.54 64 0.03 0.12 Step 610 of 2080 0.54 64 0.03 0.12 Step 614 of 2080 0.54 64 0.03 0.12 Step 618 of 2080 0.54 64 0.03 0.12 Step 622 of 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0.12 Step 966 of 2080 0.50 64 0.03 0.13 Step 970 of 2080 0.50 64 0.03 0.15 Step 974 of 2080 0.50 64 0.04 0.14 Step 978 of 2080 0.50 64 0.03 0.12 Step 982 of 2080 0.50 64 0.03 0.12 Step 986 of 2080 0.50 64 0.04 0.13 Step 990 of 2080 0.50 64 0.04 0.13 Step 994 of 2080 0.50 64 0.04 0.13 Step 998 of 2080 0.50 64 0.04 0.13 Step 1002 of 2080 0.49 64 0.03 0.12 Step 1006 of 2080 0.49 64 0.03 0.11 Step 1010 of 2080 0.49 64 0.03 0.12 Step 1014 of 2080 0.49 64 0.03 0.12 Step 1018 of 2080 0.49 64 0.03 0.12 Step 1022 of 2080 0.49 64 0.03 0.12 Step 1026 of 2080 0.49 64 0.03 0.12 Step 1030 of 2080 0.49 64 0.03 0.12 Step 1034 of 2080 0.49 64 0.02 0.11 Step 1038 of 2080 0.49 64 0.03 0.12 Step 1042 of 2080 0.49 64 0.03 0.11 Step 1046 of 2080 0.49 64 0.02 0.11 Step 1050 of 2080 0.49 64 0.02 0.11 Step 1054 of 2080 0.49 64 0.02 0.11 Step 1058 of 2080 0.49 64 0.03 0.12 Step 1062 of 2080 0.49 64 0.02 0.12 Step 1066 of 2080 0.49 64 0.03 0.12 Step 1070 of 2080 0.49 64 0.03 0.12 Step 1074 of 2080 0.49 64 0.03 0.11 Step 1078 of 2080 0.49 64 0.03 0.11 Step 1082 of 2080 0.49 64 0.03 0.11 Step 1086 of 2080 0.48 64 0.03 0.12 Step 1090 of 2080 0.48 64 0.03 0.12 Step 1094 of 2080 0.48 64 0.02 0.11 Step 1098 of 2080 0.48 64 0.03 0.11 Step 1102 of 2080 0.48 64 0.03 0.12 Step 1106 of 2080 0.48 64 0.03 0.11 Step 1110 of 2080 0.48 64 0.03 0.11 Step 1114 of 2080 0.48 64 0.02 0.11 Step 1118 of 2080 0.48 64 0.02 0.11 Step 1122 of 2080 0.48 64 0.03 0.11 Step 1126 of 2080 0.48 64 0.03 0.11 Step 1130 of 2080 0.48 64 0.03 0.11 Step 1134 of 2080 0.48 64 0.02 0.11 Step 1138 of 2080 0.48 64 0.03 0.12 Step 1142 of 2080 0.48 64 0.03 0.12 Step 1146 of 2080 0.48 64 0.03 0.12 Step 1150 of 2080 0.48 64 0.03 0.13 Step 1154 of 2080 0.48 64 0.03 0.14 Step 1158 of 2080 0.48 64 0.03 0.12 Step 1162 of 2080 0.48 64 0.03 0.13 Step 1166 of 2080 0.48 64 0.03 0.12 Step 1170 of 2080 0.48 64 0.03 0.11 Step 1174 of 2080 0.47 64 0.03 0.12 Step 1178 of 2080 0.47 64 0.03 0.12 Step 1182 of 2080 0.47 64 0.02 0.12 Step 1186 of 2080 0.47 64 0.03 0.13 Step 1190 of 2080 0.47 64 0.03 0.12 Step 1194 of 2080 0.47 64 0.02 0.11 Step 1198 of 2080 0.47 64 0.02 0.12 Step 1202 of 2080 0.47 64 0.02 0.11 Step 1206 of 2080 0.47 64 0.02 0.12 Step 1210 of 2080 0.47 64 0.02 0.12 Step 1214 of 2080 0.47 64 0.02 0.12 Step 1218 of 2080 0.47 64 0.02 0.11 Step 1222 of 2080 0.47 64 0.03 0.13 Step 1226 of 2080 0.47 64 0.03 0.13 Step 1230 of 2080 0.47 64 0.03 0.14 Step 1234 of 2080 0.47 64 0.03 0.13 Step 1238 of 2080 0.47 64 0.03 0.12 Step 1242 of 2080 0.47 64 0.03 0.13 Step 1246 of 2080 0.47 64 0.03 0.13 Step 1250 of 2080 0.47 64 0.03 0.12 Step 1254 of 2080 0.47 64 0.03 0.12 Step 1258 of 2080 0.47 64 0.03 0.13 Step 1262 of 2080 0.46 64 0.03 0.12 Step 1266 of 2080 0.46 64 0.04 0.14 Step 1270 of 2080 0.46 64 0.04 0.13 Step 1274 of 2080 0.46 64 0.03 0.12 Step 1278 of 2080 0.46 64 0.03 0.12 Step 1282 of 2080 0.46 64 0.03 0.12 Step 1286 of 2080 0.46 64 0.03 0.12 Step 1290 of 2080 0.46 64 0.02 0.12 Step 1294 of 2080 0.46 64 0.02 0.11 Step 1298 of 2080 0.46 64 0.03 0.12 Step 1302 of 2080 0.46 64 0.02 0.11 Step 1306 of 2080 0.46 64 0.03 0.12 Step 1310 of 2080 0.46 64 0.02 0.11 Step 1314 of 2080 0.46 64 0.02 0.12 Step 1318 of 2080 0.46 64 0.02 0.11 Step 1322 of 2080 0.46 64 0.03 0.13 Step 1326 of 2080 0.46 64 0.03 0.13 Step 1330 of 2080 0.46 64 0.03 0.12 Step 1334 of 2080 0.46 64 0.03 0.12 Step 1338 of 2080 0.46 64 0.03 0.13 Step 1342 of 2080 0.46 64 0.02 0.11 Step 1346 of 2080 0.46 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.02 0.12 Step 1354 of 2080 0.45 64 0.02 0.12 Step 1358 of 2080 0.45 64 0.02 0.11 Step 1362 of 2080 0.45 64 0.03 0.11 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.02 0.12 Step 1374 of 2080 0.45 64 0.03 0.12 Step 1378 of 2080 0.45 64 0.03 0.12 Step 1382 of 2080 0.45 64 0.03 0.12 Step 1386 of 2080 0.45 64 0.03 0.12 Step 1390 of 2080 0.45 64 0.03 0.12 Step 1394 of 2080 0.45 64 0.03 0.12 Step 1398 of 2080 0.45 64 0.03 0.11 Step 1402 of 2080 0.45 64 0.03 0.11 Step 1406 of 2080 0.45 64 0.02 0.11 Step 1410 of 2080 0.45 64 0.02 0.11 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.03 0.12 Step 1422 of 2080 0.45 64 0.03 0.12 Step 1426 of 2080 0.45 64 0.03 0.13 Step 1430 of 2080 0.45 64 0.02 0.11 Step 1434 of 2080 0.45 64 0.02 0.11 Step 1438 of 2080 0.44 64 0.03 0.12 Step 1442 of 2080 0.44 64 0.05 0.14 Step 1446 of 2080 0.44 64 0.03 0.12 Step 1450 of 2080 0.44 64 0.04 0.13 Step 1454 of 2080 0.44 64 0.04 0.13 Step 1458 of 2080 0.44 64 0.04 0.13 Step 1462 of 2080 0.44 64 0.03 0.12 Step 1466 of 2080 0.44 64 0.03 0.12 Step 1470 of 2080 0.44 64 0.03 0.12 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.04 0.13 Step 1482 of 2080 0.44 64 0.03 0.12 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.03 0.13 Step 1498 of 2080 0.44 64 0.02 0.12 Step 1502 of 2080 0.44 64 0.03 0.11 Step 1506 of 2080 0.44 64 0.03 0.11 Step 1510 of 2080 0.44 64 0.03 0.11 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.03 0.13 Step 1522 of 2080 0.44 64 0.03 0.12 Step 1526 of 2080 0.44 64 0.03 0.11 Step 1530 of 2080 0.43 64 0.02 0.11 Step 1534 of 2080 0.43 64 0.03 0.12 Step 1538 of 2080 0.43 64 0.03 0.12 Step 1542 of 2080 0.43 64 0.03 0.12 Step 1546 of 2080 0.43 64 0.03 0.12 Step 1550 of 2080 0.43 64 0.03 0.12 Step 1554 of 2080 0.43 64 0.03 0.12 Step 1558 of 2080 0.43 64 0.03 0.13 Step 1562 of 2080 0.43 64 0.03 0.13 Step 1566 of 2080 0.43 64 0.03 0.13 Step 1570 of 2080 0.43 64 0.04 0.14 Step 1574 of 2080 0.43 64 0.03 0.13 Step 1578 of 2080 0.43 64 0.03 0.12 Step 1582 of 2080 0.43 64 0.03 0.12 Step 1586 of 2080 0.43 64 0.04 0.13 Step 1590 of 2080 0.43 64 0.03 0.14 Step 1594 of 2080 0.43 64 0.04 0.13 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.12 Step 1610 of 2080 0.43 64 0.03 0.12 Step 1614 of 2080 0.43 64 0.03 0.14 Step 1618 of 2080 0.43 64 0.03 0.14 Step 1622 of 2080 0.42 64 0.03 0.13 Step 1626 of 2080 0.42 64 0.03 0.12 Step 1630 of 2080 0.42 64 0.03 0.13 Step 1634 of 2080 0.42 64 0.03 0.14 Step 1638 of 2080 0.42 64 0.03 0.14 Step 1642 of 2080 0.42 64 0.03 0.15 Step 1646 of 2080 0.42 64 0.03 0.13 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.11 Step 1670 of 2080 0.42 64 0.03 0.12 Step 1674 of 2080 0.42 64 0.03 0.13 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.11 Step 1686 of 2080 0.42 64 0.03 0.12 Step 1690 of 2080 0.42 64 0.03 0.13 Step 1694 of 2080 0.42 64 0.04 0.12 Step 1698 of 2080 0.42 64 0.04 0.11 Step 1702 of 2080 0.42 64 0.04 0.12 Step 1706 of 2080 0.42 64 0.05 0.14 Step 1710 of 2080 0.42 64 0.04 0.14 Step 1714 of 2080 0.42 64 0.04 0.15 Step 1718 of 2080 0.41 64 0.03 0.13 Step 1722 of 2080 0.41 64 0.05 0.14 Step 1726 of 2080 0.41 64 0.03 0.13 Step 1730 of 2080 0.41 64 0.04 0.13 Step 1734 of 2080 0.41 64 0.04 0.12 Step 1738 of 2080 0.41 64 0.04 0.12 Step 1742 of 2080 0.41 64 0.04 0.12 Step 1746 of 2080 0.41 64 0.04 0.12 Step 1750 of 2080 0.41 64 0.04 0.13 Step 1754 of 2080 0.41 64 0.04 0.13 Step 1758 of 2080 0.41 64 0.03 0.12 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.12 Step 1770 of 2080 0.41 64 0.03 0.12 Step 1774 of 2080 0.41 64 0.03 0.13 Step 1778 of 2080 0.41 64 0.04 0.13 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.12 Step 1790 of 2080 0.41 64 0.03 0.11 Step 1794 of 2080 0.41 64 0.03 0.11 Step 1798 of 2080 0.41 64 0.03 0.12 Step 1802 of 2080 0.41 64 0.03 0.13 Step 1806 of 2080 0.41 64 0.03 0.11 Step 1810 of 2080 0.41 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.04 0.14 Step 1826 of 2080 0.40 64 0.03 0.12 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.03 0.13 Step 1838 of 2080 0.40 64 0.04 0.13 Step 1842 of 2080 0.40 64 0.04 0.13 Step 1846 of 2080 0.40 64 0.04 0.14 Step 1850 of 2080 0.40 64 0.05 0.14 Step 1854 of 2080 0.40 64 0.03 0.13 Step 1858 of 2080 0.40 64 0.03 0.12 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.02 0.12 Step 1870 of 2080 0.40 64 0.02 0.12 Step 1874 of 2080 0.40 64 0.02 0.11 Step 1878 of 2080 0.40 64 0.04 0.13 Step 1882 of 2080 0.40 64 0.03 0.11 Step 1886 of 2080 0.40 64 0.02 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.13 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.03 0.12 Step 1906 of 2080 0.40 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.11 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.11 Step 1922 of 2080 0.39 64 0.03 0.13 Step 1926 of 2080 0.39 64 0.03 0.13 Step 1930 of 2080 0.39 64 0.03 0.11 Step 1934 of 2080 0.39 64 0.03 0.13 Step 1938 of 2080 0.39 64 0.03 0.12 Step 1942 of 2080 0.39 64 0.02 0.12 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.12 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.04 0.14 Step 1966 of 2080 0.39 64 0.03 0.12 Step 1970 of 2080 0.39 64 0.03 0.14 Step 1974 of 2080 0.39 64 0.03 0.13 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.14 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.02 0.11 Step 1994 of 2080 0.39 64 0.02 0.12 Step 1998 of 2080 0.39 64 0.02 0.12 Step 2002 of 2080 0.39 64 0.02 0.12 Step 2006 of 2080 0.39 64 0.02 0.12 Step 2010 of 2080 0.38 64 0.02 0.13 Step 2014 of 2080 0.38 64 0.02 0.12 Step 2018 of 2080 0.38 64 0.02 0.13 Step 2022 of 2080 0.38 64 0.03 0.13 Step 2026 of 2080 0.38 64 0.02 0.13 Step 2030 of 2080 0.38 64 0.02 0.13 Step 2034 of 2080 0.38 64 0.02 0.14 Step 2038 of 2080 0.38 64 0.02 0.13 Step 2042 of 2080 0.38 64 0.03 0.14 Step 2046 of 2080 0.38 64 0.02 0.14 Step 2050 of 2080 0.38 64 0.03 0.13 Step 2054 of 2080 0.38 64 0.02 0.13 Step 2058 of 2080 0.38 64 0.03 0.13 Step 2062 of 2080 0.38 64 0.02 0.12 Step 2066 of 2080 0.38 64 0.02 0.11 Step 2070 of 2080 0.38 64 0.02 0.11 Step 2074 of 2080 0.38 64 0.03 0.12 Step 2078 of 2080 0.38 64 0.03 0.12 ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.19 .0001 1 0.91 1.30 .0002 1 0.91 1.29 .0003 1 0.91 1.19 .0004 1 0.91 1.30 .0005 1 0.91 1.24 .0006 1 0.91 1.26 .0007 1 0.91 1.29 .0008 1 0.91 1.21 .0009 1 0.91 1.34 .0010 1 0.91 1.26 .0011 2 0.91 1.28 .0012 1 0.91 1.32 .0013 1 0.91 1.28 .0014 1 0.91 1.25 .0015 1 0.91 1.14 .0016 1 0.91 1.18 .0017 1 0.91 1.27 .0018 1 0.91 1.10 .0019 1 0.91 1.16 .0020 1 0.91 1.07 .0021 1 0.91 1.13 .0022 1 0.91 1.23 .0023 1 0.91 1.19 .0024 1 0.91 1.14 .0025 1 0.91 1.16 .0026 1 0.91 1.21 .0027 1 0.91 1.14 .0028 1 0.91 1.19 .0029 1 0.91 1.16 .0030 1 0.91 1.12 .0031 1 0.91 1.04 .0032 1 0.91 1.09 .0033 1 0.91 1.13 .0034 2 0.91 1.13 .0035 2 0.91 1.15 .0036 1 0.91 1.19 .0037 1 0.91 1.17 .0038 3 0.91 1.26 .0039 1 0.91 1.07 .0040 1 0.91 1.08 .0041 1 0.91 1.11 .0042 1 0.91 1.17 .0043 1 0.91 1.16 .0044 1 0.91 1.16 .0045 1 0.91 1.15 .0046 1 0.91 1.08 .0047 1 0.91 1.09 .0048 1 0.91 1.09 .0049 1 0.91 1.07 .0050 1 0.91 1.13 .0051 1 0.91 1.15 .0052 1 0.91 1.12 .0053 1 0.91 1.04 .0054 2 0.91 1.08 .0055 1 0.91 1.06 .0056 1 0.91 1.08 .0057 1 0.91 1.04 .0058 1 0.91 1.12 .0059 1 0.91 1.11 .0060 1 0.91 1.08 .0061 1 0.91 1.13 .0062 1 0.91 1.05 .0063 1 0.91 1.09 .0064 1 0.91 1.17 .0065 1 0.91 1.12 .0066 1 0.91 1.14 .0067 1 0.91 1.22 .0068 1 0.91 1.07 .0069 1 0.91 1.24 .0070 1 0.91 1.06 .0071 1 0.91 1.11 .0072 1 0.91 1.19 .0073 1 0.91 1.19 .0074 1 0.91 1.13 .0075 1 0.91 1.15 .0076 1 0.91 1.25 .0077 1 0.91 1.36 .0078 1 0.91 1.16 .0079 1 0.91 1.19 .0080 1 0.91 1.27 .0081 3 0.91 1.25 .0082 5 0.91 1.30 .0083 1 0.91 1.23 .0084 1 0.91 1.25 .0085 1 0.91 1.30 .0086 1 0.91 1.22 .0087 1 0.91 1.35 .0088 2 0.91 1.30 .0089 1 0.91 1.17 .0090 1 0.91 1.34 .0091 1 0.91 1.29 .0092 1 0.91 1.25 .0093 1 0.91 1.28 .0094 1 0.91 1.45 .0095 2 0.91 1.40 .0096 3 0.91 1.41 .0097 1 0.91 1.41 .0098 1 0.91 1.32 .0099 1 0.91 1.31 .0100 1 0.91 1.29 .0101 1 0.91 1.31 .0102 1 0.91 1.36 .0103 1 0.91 1.31 .0104 1 0.91 1.39 .0105 2 0.91 1.34 .0106 1 0.91 1.37 .0107 1 0.91 1.35 .0108 1 0.91 1.35 .0109 1 0.91 1.33 .0110 1 0.91 1.40 .0111 1 0.91 1.34 .0112 1 0.91 1.35 .0113 1 0.91 1.40 .0114 1 0.91 1.42 .0115 1 0.91 1.43 .0116 1 0.91 1.43 .0117 1 0.91 1.37 .0118 1 0.91 1.40 .0119 1 0.91 1.34 .0120 1 0.91 1.37 .0121 1 0.91 1.36 .0122 1 0.91 1.38 .0123 1 0.91 1.28 .0124 1 0.91 1.42 .0125 1 0.91 1.35 .0126 1 0.91 1.30 .0127 1 0.91 1.37 .0128 1 0.91 1.53 .0129 1 0.91 1.27 .0130 1 0.91 1.38 .0131 1 0.91 1.37 .0132 1 0.91 1.38 .0133 1 0.91 1.34 .0134 1 0.91 1.37 .0135 1 0.91 1.36 .0136 1 0.91 1.27 .0137 1 0.91 1.39 .0138 1 0.91 1.38 .0139 1 0.91 1.42 .0140 1 0.91 1.39 .0141 1 0.91 1.37 .0142 1 0.91 1.54 .0143 1 0.91 1.37 .0144 1 0.91 1.40 .0145 2 0.91 1.48 .0146 2 0.91 1.25 .0147 2 0.91 1.42 .0148 1 0.91 1.35 .0149 1 0.91 1.28 .0150 1 0.91 1.37 .0151 1 0.91 1.42 .0152 1 0.91 1.29 .0153 1 0.91 1.35 .0154 1 0.91 1.32 .0155 1 0.91 1.36 .0156 1 0.91 1.35 .0157 1 0.91 1.31 .0158 1 0.91 1.36 .0159 1 0.91 1.30 .0160 1 0.91 1.45 .0161 1 0.91 1.39 .0162 1 0.91 1.55 .0163 1 0.91 1.41 .0164 1 0.91 1.42 .0165 1 0.91 1.33 .0166 1 0.91 1.39 .0167 1 0.91 1.36 .0168 1 0.92 1.37 .0169 1 0.92 1.31 .0170 1 0.92 1.35 .0171 1 0.92 1.38 .0172 1 0.92 1.39 .0173 1 0.92 1.35 .0174 2 0.92 1.43 .0175 4 0.92 1.47 .0176 1 0.92 1.45 .0177 1 0.92 1.35 .0178 1 0.92 1.31 .0179 2 0.92 1.38 .0180 1 0.92 1.33 .0181 1 0.92 1.34 .0182 1 0.92 1.34 .0183 1 0.92 1.34 .0184 1 0.92 1.34 .0185 1 0.92 1.26 .0186 1 0.92 1.44 .0187 1 0.92 1.35 .0188 1 0.92 1.37 .0189 1 0.92 1.30 .0190 1 0.92 1.35 .0191 1 0.92 1.38 .0192 3 0.92 1.39 .0193 1 0.92 1.45 .0194 1 0.92 1.40 .0195 1 0.92 1.36 .0196 1 0.92 1.40 .0197 1 0.92 1.51 .0198 1 0.92 1.43 .0199 1 0.92 1.45 .0200 1 0.92 1.40 .0201 1 0.92 1.41 .0202 1 0.92 1.35 .0203 1 0.92 1.42 .0204 1 0.92 1.37 .0205 1 0.92 1.37 .0206 1 0.92 1.32 .0207 1 0.92 1.44 .0208 1 0.92 1.37 .0209 1 0.92 1.32 .0210 1 0.92 1.49 .0211 1 0.92 1.44 .0212 1 0.92 1.35 .0213 1 0.92 1.39 .0214 1 0.92 1.37 .0215 1 0.92 1.42 .0216 1 0.92 1.43 .0217 1 0.92 1.46 .0218 1 0.92 1.36 .0219 1 0.92 1.37 .0220 1 0.92 1.50 .0221 1 0.92 1.44 .0222 1 0.92 1.48 .0223 1 0.92 1.49 .0224 1 0.92 1.49 .0225 1 0.92 1.50 .0226 1 0.92 1.52 .0227 1 0.92 1.47 .0228 1 0.92 1.50 .0229 1 0.92 1.61 .0230 1 0.92 1.42 .0231 1 0.92 1.50 .0232 1 0.92 1.45 .0233 1 0.92 1.42 .0234 1 0.92 1.58 .0235 1 0.92 1.51 .0236 1 0.92 1.51 .0237 1 0.92 1.57 .0238 1 0.92 1.48 .0239 1 0.92 1.36 .0240 1 0.92 1.48 .0241 1 0.92 1.55 .0242 1 0.92 1.47 .0243 1 0.92 1.45 .0244 1 0.92 1.52 .0245 1 0.92 1.47 .0246 1 0.92 1.47 .0247 1 0.92 1.44 .0248 1 0.92 1.49 .0249 1 0.92 1.51 .0250 1 0.92 1.49 .0251 1 0.92 1.49 .0252 1 0.92 1.55 .0253 1 0.92 1.56 .0254 1 0.92 1.53 .0255 1 0.92 1.53 .0256 1 0.92 1.51 .0257 1 0.92 1.46 .0258 1 0.92 1.62 .0259 1 0.92 1.54 .0260 1 0.92 1.45 .0261 1 0.92 1.50 .0262 1 0.92 1.57 .0263 1 0.92 1.67 .0264 1 0.92 1.61 .0265 1 0.92 1.60 .0266 1 0.92 1.60 .0267 1 0.92 1.67 .0268 1 0.92 1.62 .0269 1 0.92 1.72 .0270 1 0.92 1.59 .0271 1 0.92 1.66 .0272 1 0.92 1.69 .0273 1 0.92 1.70 .0274 1 0.92 1.75 .0275 1 0.92 1.80 .0276 1 0.92 1.71 .0277 1 0.92 1.63 .0278 1 0.92 1.74 .0279 1 0.92 1.75 .0280 1 0.92 1.78 .0281 1 0.92 1.83 .0282 1 0.92 1.78 .0283 1 0.92 1.72 .0284 1 0.92 1.89 .0285 1 0.92 1.88 .0286 1 0.92 1.89 .0287 1 0.92 1.86 .0288 1 0.92 1.93 .0289 2 0.92 1.95 .0290 2 0.92 2.19 .0291 1 0.92 1.86 .0292 1 0.92 1.99 .0293 1 0.92 1.88 .0294 1 0.92 2.02 .0295 1 0.92 1.99 .0296 1 0.92 1.91 .0297 1 0.92 1.93 .0298 1 0.92 2.05 .0299 1 0.92 2.06 .0300 1 0.92 2.06 .0301 1 0.92 2.15 .0302 1 0.92 2.12 .0303 1 0.92 2.09 .0304 1 0.92 2.21 .0305 1 0.92 2.18 .0306 1 0.92 2.21 .0307 1 0.92 2.22 .0308 1 0.92 2.09 .0309 1 0.92 2.20 .0310 1 0.92 2.21 .0311 1 0.92 2.33 .0312 1 0.92 2.47 .0313 1 0.92 2.33 .0314 1 0.92 2.24 .0315 1 0.92 2.25 .0316 1 0.92 2.21 .0317 1 0.92 2.25 .0318 1 0.92 2.33 .0319 1 0.92 2.49 .0320 1 0.92 2.33 .0321 1 0.92 2.36 .0322 1 0.92 2.44 .0323 1 0.92 2.40 .0324 1 0.92 2.49 .0325 1 0.92 2.51 .0326 1 0.92 2.32 .0327 1 0.92 2.45 .0328 1 0.92 2.33 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.1661 2 0.91 3.59 .1662 1 0.91 3.41 .1663 1 0.91 3.34 .1664 1 0.91 3.44 .1665 1 0.91 3.66 .1666 1 0.91 3.52 .1667 1 0.91 3.31 .1668 1 0.91 3.42 .1669 1 0.91 3.82 .1670 2 0.91 3.61 .1671 1 0.91 3.47 .1672 1 0.91 3.43 .1673 1 0.91 3.50 .1674 1 0.91 3.47 .1675 1 0.91 3.34 .1676 1 0.91 3.38 .1677 1 0.91 3.54 .1678 1 0.91 3.47 .1679 1 0.91 3.40 .1680 1 0.91 3.46 .1681 1 0.91 3.45 .1682 1 0.91 3.50 .1683 1 0.91 3.26 .1684 1 0.91 3.52 .1685 2 0.91 3.51 .1686 1 0.91 3.55 .1687 1 0.91 3.34 .1688 1 0.91 3.55 .1689 1 0.91 3.29 .1690 1 0.91 3.27 .1691 1 0.91 3.61 .1692 1 0.91 3.49 .1693 1 0.91 3.44 .1694 1 0.91 3.47 .1695 1 0.91 3.40 .1696 1 0.91 3.61 .1697 1 0.91 3.65 .1698 1 0.91 3.29 .1699 1 0.91 3.44 .1700 1 0.91 3.33 .1701 1 0.91 3.63 .1702 1 0.91 3.47 .1703 1 0.91 3.42 .1704 1 0.91 3.37 .1705 1 0.91 3.46 .1706 1 0.91 3.50 .1707 1 0.91 3.66 .1708 1 0.91 3.67 .1709 1 0.91 3.46 .1710 1 0.91 3.79 .1711 1 0.91 3.30 .1712 1 0.91 3.49 .1713 1 0.91 3.40 .1714 1 0.91 3.51 .1715 1 0.91 3.39 .1716 1 0.91 3.45 .1717 1 0.91 3.46 .1718 1 0.91 3.48 .1719 1 0.91 3.50 .1720 2 0.91 3.40 .1721 1 0.91 3.39 .1722 1 0.91 3.33 .1723 1 0.91 3.43 .1724 1 0.91 3.44 .1725 1 0.91 3.30 .1726 1 0.91 3.51 .1727 1 0.91 3.42 .1728 1 0.91 3.33 .1729 1 0.91 3.47 .1730 1 0.91 3.27 .1731 1 0.91 3.47 .1732 1 0.91 3.63 .1733 1 0.91 3.59 .1734 1 0.91 3.33 .1735 1 0.91 3.38 .1736 1 0.91 3.47 .1737 1 0.91 3.68 .1738 1 0.91 3.74 .1739 1 0.91 3.53 .1740 1 0.91 3.42 .1741 2 0.91 3.35 .1742 1 0.91 3.53 .1743 1 0.91 3.47 .1744 1 0.91 3.44 .1745 1 0.91 3.42 .1746 1 0.91 3.51 .1747 2 0.91 3.58 .1748 1 0.91 3.43 .1749 1 0.91 3.44 .1750 1 0.91 3.41 .1751 1 0.91 3.63 .1752 2 0.91 3.54 .1753 1 0.91 3.44 .1754 2 0.91 3.67 .1755 1 0.91 3.49 .1756 1 0.91 3.34 .1757 1 0.91 3.39 .1758 1 0.91 3.40 .1759 1 0.91 3.33 .1760 1 0.91 3.48 .1761 1 0.91 3.92 .1762 1 0.91 3.48 .1763 1 0.91 3.52 .1764 1 0.91 3.55 .1765 1 0.91 3.34 .1766 1 0.91 3.28 .1767 1 0.91 3.48 .1768 1 0.91 3.38 .1769 1 0.91 3.52 .1770 1 0.91 3.61 .1771 1 0.91 3.26 .1772 1 0.91 3.34 .1773 1 0.91 3.35 .1774 1 0.91 3.32 .1775 1 0.91 3.41 .1776 1 0.91 3.36 .1777 1 0.91 3.48 .1778 1 0.91 3.37 .1779 1 0.91 3.25 .1780 1 0.91 3.28 .1781 1 0.91 3.33 .1782 1 0.91 3.47 .1783 1 0.91 3.50 .1784 1 0.91 3.49 .1785 1 0.91 3.46 .1786 1 0.91 3.42 .1787 1 0.91 3.45 .1788 1 0.91 3.53 .1789 1 0.91 3.42 .1790 1 0.91 3.31 .1791 1 0.91 3.34 .1792 1 0.91 3.38 .1793 1 0.91 3.36 .1794 1 0.91 3.35 .1795 1 0.91 3.48 .1796 1 0.91 3.35 .1797 1 0.91 3.36 .1798 1 0.91 3.42 .1799 2 0.91 3.44 .1800 2 0.91 3.78 .1801 2 0.91 3.42 .1802 1 0.91 3.50 .1803 2 0.91 3.43 .1804 2 0.91 3.55 .1805 2 0.91 3.64 .1806 2 0.91 3.75 .1807 1 0.91 3.85 .1808 1 0.91 3.48 .1809 1 0.91 3.48 .1810 1 0.91 3.39 .1811 1 0.91 3.56 .1812 1 0.91 3.33 .1813 1 0.91 3.46 .1814 1 0.91 3.68 .1815 5 0.91 3.76 .1816 1 0.91 4.26 .1817 1 0.91 3.44 .1818 1 0.91 3.33 .1819 1 0.91 3.69 .1820 1 0.91 3.50 .1821 1 0.91 3.46 .1822 1 0.91 3.43 .1823 1 0.91 3.35 .1824 1 0.91 3.47 .1825 2 0.91 3.43 .1826 1 0.91 3.49 .1827 1 0.91 3.39 .1828 1 0.91 3.49 .1829 1 0.91 3.46 .1830 1 0.91 3.73 .1831 1 0.91 3.51 .1832 1 0.91 3.46 .1833 1 0.91 3.54 .1834 1 0.91 3.37 .1835 1 0.91 3.54 .1836 1 0.91 3.60 .1837 1 0.91 3.55 .1838 1 0.91 3.54 .1839 1 0.91 3.61 .1840 1 0.91 3.48 .1841 1 0.91 3.44 .1842 1 0.91 3.63 .1843 1 0.91 3.59 .1844 1 0.91 3.47 .1845 1 0.91 3.60 .1846 1 0.91 3.44 .1847 1 0.91 3.61 .1848 1 0.91 3.39 .1849 2 0.91 3.59 .1850 3 0.91 4.17 .1851 1 0.91 3.59 .1852 1 0.91 3.45 .1853 1 0.91 3.30 .1854 1 0.91 3.55 .1855 1 0.91 3.78 .1856 1 0.91 3.56 .1857 1 0.91 3.64 .1858 1 0.91 3.59 .1859 1 0.91 3.47 .1860 1 0.91 3.50 .1861 2 0.91 3.75 .1862 1 0.91 4.11 .1863 1 0.91 3.49 .1864 1 0.91 3.44 .1865 1 0.91 3.62 .1866 1 0.91 3.46 .1867 1 0.92 3.38 .1868 1 0.92 3.41 .1869 1 0.92 3.54 .1870 1 0.92 3.39 .1871 1 0.92 3.49 .1872 1 0.92 3.45 .1873 1 0.92 3.56 .1874 1 0.92 3.52 .1875 1 0.92 3.55 .1876 1 0.92 3.57 .1877 2 0.92 3.64 .1878 2 0.92 3.53 .1879 1 0.92 3.51 .1880 1 0.92 3.38 .1881 1 0.92 3.50 .1882 1 0.92 3.70 .1883 1 0.92 3.43 .1884 1 0.92 3.41 .1885 1 0.92 3.50 .1886 1 0.92 3.38 .1887 2 0.92 3.31 .1888 1 0.92 3.73 .1889 1 0.92 3.69 .1890 1 0.92 3.62 .1891 2 0.92 3.61 .1892 3 0.92 3.45 .1893 1 0.92 3.95 .1894 1 0.92 3.37 .1895 1 0.92 3.42 .1896 1 0.92 3.39 .1897 1 0.92 3.51 .1898 1 0.92 3.43 .1899 1 0.92 3.46 .1900 1 0.92 3.19 .1901 1 0.92 3.28 .1902 1 0.92 3.33 .1903 1 0.92 3.37 .1904 2 0.92 3.40 .1905 1 0.92 3.27 .1906 1 0.92 3.38 .1907 1 0.92 3.27 .1908 1 0.92 3.39 .1909 1 0.92 3.38 .1910 2 0.92 3.29 .1911 1 0.92 3.36 .1912 1 0.92 3.33 .1913 2 0.92 3.32 .1914 2 0.92 3.40 .1915 1 0.92 3.18 .1916 1 0.92 3.23 .1917 1 0.92 3.31 .1918 1 0.92 3.34 .1919 1 0.92 3.30 .1920 1 0.92 3.53 .1921 1 0.92 3.15 .1922 1 0.92 3.18 .1923 1 0.92 3.24 .1924 1 0.92 2.92 .1925 1 0.92 3.16 .1926 1 0.92 3.14 .1927 1 0.92 3.17 .1928 1 0.92 3.38 .1929 1 0.92 3.07 .1930 1 0.92 3.30 .1931 1 0.92 3.21 .1932 1 0.92 3.14 .1933 1 0.92 2.94 .1934 1 0.92 3.34 .1935 1 0.92 3.28 .1936 1 0.92 3.16 .1937 1 0.92 3.25 .1938 1 0.92 3.18 .1939 1 0.92 3.21 .1940 1 0.92 3.21 .1941 1 0.92 3.15 .1942 1 0.92 3.15 .1943 1 0.92 2.99 .1944 1 0.92 3.00 .1945 1 0.92 3.00 .1946 1 0.92 3.19 .1947 1 0.92 3.23 .1948 1 0.92 2.97 .1949 1 0.92 3.08 .1950 1 0.92 3.12 .1951 1 0.92 3.06 .1952 1 0.92 3.11 .1953 1 0.92 3.12 .1954 1 0.92 2.97 .1955 1 0.92 3.01 .1956 1 0.92 3.00 .1957 1 0.92 3.17 .1958 1 0.92 3.21 .1959 1 0.92 3.15 .1960 1 0.92 3.03 .1961 1 0.92 3.49 .1962 2 0.92 3.29 .1963 2 0.92 2.87 .1964 1 0.92 3.01 .1965 1 0.92 2.92 .1966 1 0.92 2.98 .1967 1 0.93 2.99 .1968 1 0.93 2.92 .1969 1 0.93 2.88 .1970 1 0.93 2.91 .1971 1 0.93 2.96 .1972 1 0.93 2.73 .1973 1 0.93 3.02 .1974 1 0.93 2.89 .1975 1 0.93 2.87 .1976 1 0.93 2.93 .1977 1 0.93 2.90 .1978 1 0.93 2.85 .1979 2 0.93 2.94 .1980 1 0.93 2.83 .1981 1 0.93 2.82 .1982 1 0.93 3.14 .1983 1 0.93 2.83 .1984 1 0.93 2.81 .1985 1 0.93 2.93 .1986 1 0.93 2.77 .1987 1 0.93 2.78 .1988 1 0.93 2.75 .1989 1 0.93 2.80 .1990 1 0.93 2.58 .1991 1 0.93 2.93 .1992 1 0.93 2.73 .1993 1 0.93 2.83 .1994 1 0.93 2.74 .1995 1 0.93 2.66 .1996 1 0.93 2.74 .1997 1 0.93 2.66 .1998 2 0.93 2.75 .1999 1 0.93 2.71 .2000 1 0.93 2.55 .2001 1 0.93 2.67 .2002 1 0.93 2.71 .2003 1 0.93 2.58 .2004 1 0.93 2.64 .2005 1 0.93 2.80 .2006 1 0.93 2.75 .2007 1 0.93 2.99 .2008 1 0.93 2.58 .2009 1 0.93 2.65 .2010 1 0.93 2.63 .2011 1 0.93 2.95 .2012 1 0.93 2.58 .2013 1 0.93 2.57 .2014 1 0.93 2.63 .2015 1 0.93 2.68 .2016 1 0.93 2.63 .2017 2 0.93 2.68 .2018 1 0.93 2.47 .2019 1 0.93 2.53 .2020 1 0.93 2.56 .2021 2 0.93 2.71 .2022 1 0.93 2.72 .2023 1 0.93 2.44 .2024 1 0.93 2.47 .2025 1 0.93 2.50 .2026 2 0.93 2.96 .2027 1 0.93 2.60 .2028 1 0.93 2.50 .2029 1 0.93 2.46 .2030 1 0.93 2.86 .2031 1 0.93 2.40 .2032 1 0.93 2.39 .2033 1 0.93 2.39 .2034 1 0.93 2.36 .2035 1 0.93 2.33 .2036 1 0.93 2.44 .2037 1 0.93 2.42 .2038 1 0.93 2.46 .2039 1 0.93 2.45 .2040 1 0.94 2.42 .2041 1 0.94 2.34 .2042 1 0.94 2.40 .2043 1 0.94 2.40 .2044 1 0.94 2.39 .2045 1 0.94 2.40 .2046 1 0.94 2.53 .2047 1 0.94 2.27 EXTRACT_IMAGE: b2: masked 140 pixels SPCALIB: b2: First extraction chi^2 1.05312 4.91321 SPCALIB: b2: Second extraction chi^2 1.03906 4.58452 SUPERFLAT: b2: Creating superflat from 314 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174Lowest breakpoint does not cover lowest x value: changing .0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318highest breakpoint does not cover highest x value, changing .0319 FIBERFLAT: b2: Number of fiberflat points LE 0 = 8802 SPCALIB: b2: Elapsed time = 411. seconds SPREDUCE: b2: Best flat = sdR-b2-00034756.fit SPREDUCE: b2: Best arc = sdR-b2-00034757.fit QAPLOT_ARCLINE: b2: Number of arc lines: 15 QAPLOT_ARCLINE: b2: Number of arc lines below 4000 Ang: 1 QAPLOT_ARCLINE: b2: Arcline 0: lambda= 3983.84 Ang, median dev= -0.045 pix, sigma dev= 0.153 pix QAPLOT_ARCLINE: b2: Arcline 1: lambda= 4046.57 Ang, median dev= 0.002 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b2: Arcline 2: lambda= 4077.84 Ang, median dev= 0.005 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: b2: Arcline 3: lambda= 4358.34 Ang, median dev= -0.008 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b2: Arcline 4: lambda= 4678.15 Ang, median dev= 0.015 pix, sigma dev= 0.029 pix QAPLOT_ARCLINE: b2: Arcline 5: lambda= 4799.91 Ang, median dev= 0.016 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: b2: Arcline 6: lambda= 4916.07 Ang, median dev= 0.012 pix, sigma dev= 0.049 pix QAPLOT_ARCLINE: b2: Arcline 7: lambda= 5085.82 Ang, median dev= -0.010 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: b2: Arcline 8: lambda= 5460.75 Ang, median dev= -0.008 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: b2: Arcline 9: lambda= 5769.60 Ang, median dev= 0.006 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b2: Arcline 10: lambda= 5790.66 Ang, median dev= 0.014 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: b2: Arcline 11: lambda= 5852.49 Ang, median dev= -0.009 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b2: Arcline 12: lambda= 5881.90 Ang, median dev= -0.004 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: b2: Arcline 13: lambda= 5944.83 Ang, median dev= 0.007 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: b2: Arcline 14: lambda= 6030.00 Ang, median dev= -0.016 pix, sigma dev= 0.017 pix SPREDUCE: sdR-b2-00034752.fit: Reading object sdR-b2-00034752.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034752.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034752.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034752.fit: Measured read-noise in DN for amp# 2 = 3.81775 SDSSPROC: sdR-b2-00034752.fit: Measured bias value in DN for amp# 2 = 1225.30 SDSSPROC: sdR-b2-00034752.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034752.fit: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: sdR-b2-00034752.fit: Measured read-noise in DN for amp# 3 = 3.27166 SDSSPROC: sdR-b2-00034752.fit: Measured bias value in DN for amp# 3 = 1198.20 SDSSPROC: sdR-b2-00034752.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034752.fit: Amp #3 Number of pix below bias-5*sigma= 1181. DN is 0 SDSSPROC: sdR-b2-00034752.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034752.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034752.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034752.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034752.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034752.fit: Science 25-th-percentile = 77.1531 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b2-00034752.fit: Whopping fibers: 157 303 316 EXTRACT_OBJECT: sdR-b2-00034752.fit: Median counts in all fibers = 1495.43 EXTRACT_OBJECT: sdR-b2-00034752.fit: Number of bright fibers = 3 EXTRACT_OBJECT: sdR-b2-00034752.fit: Sky fiber median 221.848 EXTRACT_OBJECT: sdR-b2-00034752.fit: 5% and 95% count levels 214.689 5870.51 MATCH_TRACE: sdR-b2-00034752.fit: Iteration: 0 Pixels Rejected: 1982 Finished? 0 MATCH_TRACE: sdR-b2-00034752.fit: Iteration: 1 Pixels Rejected: 16 Finished? 0 MATCH_TRACE: sdR-b2-00034752.fit: Iteration: 2 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b2-00034752.fit: Shifting traces by match_trace 0.00183105 EXTRACT_OBJECT: sdR-b2-00034752.fit: Extracting frame sdR-b2-00034752.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034752.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 2 0.91 1.38 .0001 1 0.91 1.27 .0002 1 0.91 1.44 .0003 3 0.91 1.25 .0004 2 0.91 1.25 .0005 3 0.91 1.32 .0006 3 0.91 1.23 .0007 1 0.91 1.22 .0008 2 0.91 1.29 .0009 3 0.91 1.30 .0010 2 0.91 1.22 .0011 1 0.91 1.31 .0012 1 0.91 1.29 .0013 2 0.91 1.22 .0014 1 0.91 1.25 .0015 3 0.91 1.28 .0016 1 0.91 1.26 .0017 2 0.91 1.20 .0018 2 0.91 1.26 .0019 3 0.91 1.18 .0020 1 0.91 1.17 .0021 1 0.91 1.27 .0022 1 0.91 1.34 .0023 1 0.91 1.20 .0024 2 0.91 1.17 .0025 1 0.91 1.15 .0026 1 0.91 1.22 .0027 1 0.91 1.15 .0028 1 0.91 1.17 .0029 1 0.91 1.18 .0030 1 0.91 1.32 .0031 1 0.91 1.17 .0032 1 0.91 1.18 .0033 1 0.91 1.16 .0034 2 0.91 1.27 .0035 2 0.91 1.22 .0036 2 0.91 1.26 .0037 2 0.91 1.23 .0038 2 0.91 1.15 .0039 1 0.91 1.19 .0040 2 0.91 1.15 .0041 1 0.91 1.19 .0042 3 0.91 1.20 .0043 1 0.91 1.22 .0044 1 0.91 1.13 .0045 1 0.91 1.20 .0046 1 0.91 1.16 .0047 1 0.91 1.19 .0048 2 0.91 1.21 .0049 2 0.91 1.23 .0050 1 0.91 1.16 .0051 2 0.91 1.10 .0052 2 0.91 1.14 .0053 2 0.91 1.24 .0054 2 0.91 1.18 .0055 1 0.91 1.27 .0056 1 0.91 1.13 .0057 1 0.91 1.24 .0058 2 0.91 1.12 .0059 1 0.91 1.32 .0060 1 0.91 1.17 .0061 1 0.91 1.21 .0062 1 0.91 1.15 .0063 2 0.91 1.36 .0064 3 0.91 1.36 .0065 1 0.91 1.21 .0066 1 0.91 1.24 .0067 1 0.91 1.27 .0068 1 0.91 1.31 .0069 1 0.91 1.20 .0070 1 0.91 1.35 .0071 3 0.91 1.29 .0072 1 0.91 1.37 .0073 4 0.91 1.21 .0074 3 0.91 1.26 .0075 1 0.91 1.48 .0076 1 0.91 1.40 .0077 1 0.91 1.31 .0078 1 0.91 1.36 .0079 1 0.91 1.32 .0080 4 0.91 1.38 .0081 3 0.91 1.39 .0082 3 0.91 1.45 .0083 1 0.91 1.29 .0084 1 0.91 1.42 .0085 1 0.91 1.41 .0086 2 0.91 1.45 .0087 1 0.91 1.38 .0088 1 0.91 1.45 .0089 3 0.91 1.43 .0090 3 0.91 1.44 .0091 1 0.91 1.42 .0092 1 0.91 1.45 .0093 1 0.91 1.47 .0094 1 0.91 1.45 .0095 1 0.91 1.42 .0096 2 0.91 1.46 .0097 2 0.91 1.45 .0098 2 0.91 1.47 .0099 2 0.91 1.66 .0100 1 0.91 1.48 .0101 1 0.91 1.48 .0102 3 0.91 1.44 .0103 3 0.91 1.52 .0104 2 0.91 1.56 .0105 1 0.91 1.45 .0106 1 0.91 1.49 .0107 1 0.91 1.59 .0108 2 0.91 1.44 .0109 1 0.91 1.52 .0110 2 0.91 1.57 .0111 4 0.91 1.59 .0112 2 0.91 1.61 .0113 2 0.91 1.58 .0114 3 0.91 1.53 .0115 2 0.91 1.57 .0116 1 0.91 1.35 .0117 1 0.91 1.44 .0118 1 0.91 1.45 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0.92 1.45 .0175 1 0.92 1.49 .0176 3 0.92 1.51 .0177 3 0.92 1.62 .0178 1 0.92 1.56 .0179 1 0.92 1.43 .0180 1 0.92 1.49 .0181 2 0.92 1.49 .0182 1 0.92 1.51 .0183 2 0.92 1.53 .0184 2 0.92 1.62 .0185 3 0.92 1.49 .0186 1 0.92 1.63 .0187 1 0.92 1.51 .0188 1 0.92 1.48 .0189 1 0.92 1.55 .0190 2 0.92 1.53 .0191 2 0.92 1.54 .0192 4 0.92 1.39 .0193 1 0.92 1.67 .0194 1 0.92 1.52 .0195 1 0.92 1.53 .0196 1 0.92 1.61 .0197 1 0.92 1.43 .0198 2 0.92 1.47 .0199 1 0.92 1.45 .0200 1 0.92 1.52 .0201 1 0.92 1.54 .0202 1 0.92 1.50 .0203 4 0.92 1.55 .0204 2 0.92 1.72 .0205 1 0.92 1.59 .0206 1 0.92 1.61 .0207 3 0.92 1.53 .0208 5 0.92 1.59 .0209 1 0.92 1.62 .0210 2 0.92 1.69 .0211 3 0.92 1.51 .0212 1 0.92 1.51 .0213 4 0.92 1.43 .0214 2 0.92 1.52 .0215 3 0.92 1.49 .0216 2 0.92 1.48 .0217 1 0.92 1.52 .0218 2 0.92 1.43 .0219 1 0.92 1.46 .0220 1 0.92 1.43 .0221 2 0.92 1.51 .0222 2 0.92 1.38 .0223 3 0.92 1.45 .0224 2 0.92 1.50 .0225 1 0.92 1.51 .0226 1 0.92 1.56 .0227 1 0.92 1.51 .0228 1 0.92 1.49 .0229 1 0.92 1.58 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0.92 1.80 .0286 1 0.92 1.74 .0287 2 0.92 1.75 .0288 3 0.92 1.83 .0289 2 0.92 1.68 .0290 2 0.92 1.70 .0291 1 0.92 1.74 .0292 1 0.92 1.74 .0293 1 0.92 1.67 .0294 3 0.92 1.67 .0295 2 0.92 1.68 .0296 1 0.92 1.97 .0297 1 0.92 1.81 .0298 1 0.92 1.79 .0299 1 0.92 1.85 .0300 1 0.92 1.79 .0301 1 0.92 1.77 .0302 3 0.92 1.79 .0303 1 0.92 1.81 .0304 2 0.92 1.71 .0305 3 0.92 1.79 .0306 2 0.92 1.76 .0307 3 0.92 1.86 .0308 3 0.92 1.85 .0309 1 0.92 1.79 .0310 2 0.92 1.80 .0311 3 0.92 1.86 .0312 4 0.92 1.83 .0313 3 0.92 1.95 .0314 4 0.92 1.83 .0315 2 0.92 1.80 .0316 3 0.92 1.80 .0317 1 0.92 1.80 .0318 1 0.92 1.75 .0319 2 0.92 1.82 .0320 1 0.92 1.80 .0321 1 0.92 1.77 .0322 3 0.92 1.74 .0323 1 0.92 1.90 .0324 2 0.92 1.85 .0325 1 0.92 1.90 .0326 2 0.92 1.91 .0327 3 0.92 1.80 .0328 2 0.92 1.74 .0329 1 0.92 1.84 .0330 3 0.92 1.86 .0331 3 0.92 1.78 .0332 1 0.92 1.74 .0333 1 0.92 1.78 .0334 1 0.92 1.72 .0335 2 0.92 1.83 .0336 3 0.92 1.78 .0337 4 0.92 1.72 .0338 1 0.92 1.89 .0339 1 0.92 1.87 .0340 1 0.92 1.77 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.1895 1 0.92 1.47 .1896 1 0.92 1.55 .1897 2 0.92 1.53 .1898 2 0.92 1.50 .1899 4 0.92 1.73 .1900 3 0.92 1.73 .1901 2 0.92 1.55 .1902 2 0.92 1.51 .1903 2 0.92 1.61 .1904 2 0.92 1.50 .1905 1 0.92 1.45 .1906 3 0.92 1.56 .1907 2 0.92 1.48 .1908 1 0.92 1.45 .1909 3 0.92 1.50 .1910 2 0.92 1.72 .1911 2 0.92 1.52 .1912 2 0.92 1.64 .1913 2 0.92 1.69 .1914 1 0.92 1.73 .1915 1 0.92 1.68 .1916 1 0.92 1.69 .1917 1 0.92 1.54 .1918 1 0.92 1.55 .1919 2 0.92 1.57 .1920 3 0.92 1.57 .1921 2 0.92 1.57 .1922 1 0.92 1.48 .1923 2 0.92 1.70 .1924 1 0.92 1.42 .1925 2 0.92 1.49 .1926 1 0.92 1.72 .1927 2 0.92 1.46 .1928 2 0.92 1.49 .1929 3 0.92 1.50 .1930 1 0.92 1.55 .1931 1 0.92 1.64 .1932 3 0.92 1.66 .1933 1 0.92 1.70 .1934 3 0.92 1.67 .1935 2 0.92 1.62 .1936 2 0.92 1.58 .1937 3 0.92 1.68 .1938 2 0.92 1.68 .1939 2 0.92 1.60 .1940 1 0.92 1.68 .1941 2 0.92 1.67 .1942 3 0.92 1.59 .1943 1 0.92 1.57 .1944 3 0.92 1.56 .1945 3 0.92 1.67 .1946 2 0.92 1.63 .1947 1 0.92 1.55 .1948 1 0.92 1.58 .1949 1 0.92 1.64 .1950 1 0.92 1.66 .1951 1 0.92 1.53 .1952 1 0.92 1.63 .1953 1 0.92 1.69 .1954 3 0.92 1.65 .1955 1 0.92 1.65 .1956 1 0.92 1.68 .1957 2 0.92 1.67 .1958 3 0.92 1.64 .1959 3 0.92 1.72 .1960 3 0.92 1.78 .1961 3 0.92 1.51 .1962 2 0.92 1.66 .1963 2 0.92 1.59 .1964 2 0.92 1.60 .1965 1 0.92 1.56 .1966 1 0.92 1.58 .1967 1 0.93 1.45 .1968 3 0.93 1.51 .1969 3 0.93 1.50 .1970 2 0.93 1.42 .1971 1 0.93 1.43 .1972 1 0.93 1.49 .1973 1 0.93 1.43 .1974 1 0.93 1.48 .1975 1 0.93 1.51 .1976 1 0.93 1.46 .1977 1 0.93 1.49 .1978 3 0.93 1.38 .1979 1 0.93 1.47 .1980 1 0.93 1.51 .1981 1 0.93 1.44 .1982 1 0.93 1.42 .1983 1 0.93 1.42 .1984 3 0.93 1.58 .1985 5 0.93 1.58 .1986 1 0.93 1.45 .1987 3 0.93 1.57 .1988 3 0.93 1.47 .1989 1 0.93 1.44 .1990 1 0.93 1.58 .1991 1 0.93 1.56 .1992 1 0.93 1.60 .1993 3 0.93 1.56 .1994 3 0.93 1.57 .1995 2 0.93 1.49 .1996 3 0.93 1.60 .1997 2 0.93 1.65 .1998 1 0.93 1.68 .1999 3 0.93 1.55 .2000 3 0.93 1.59 .2001 1 0.93 1.57 .2002 3 0.93 1.64 .2003 3 0.93 1.59 .2004 2 0.93 1.64 .2005 2 0.93 1.73 .2006 2 0.93 1.64 .2007 1 0.93 1.62 .2008 1 0.93 1.55 .2009 1 0.93 1.66 .2010 2 0.93 1.65 .2011 3 0.93 1.52 .2012 3 0.93 1.63 .2013 3 0.93 1.59 .2014 3 0.93 1.59 .2015 1 0.93 1.58 .2016 2 0.93 1.61 .2017 4 0.93 1.55 .2018 3 0.93 1.50 .2019 1 0.93 1.46 .2020 2 0.93 1.61 .2021 4 0.93 1.48 .2022 3 0.93 1.45 .2023 2 0.93 1.45 .2024 1 0.93 1.49 .2025 1 0.93 1.53 .2026 1 0.93 1.39 .2027 1 0.93 1.36 .2028 1 0.93 1.40 .2029 1 0.93 1.41 .2030 1 0.93 1.41 .2031 1 0.93 1.42 .2032 2 0.93 1.52 .2033 2 0.93 1.48 .2034 2 0.93 1.48 .2035 3 0.93 1.39 .2036 1 0.93 1.48 .2037 1 0.93 1.44 .2038 1 0.93 1.40 .2039 1 0.93 1.41 .2040 2 0.94 1.35 .2041 1 0.94 1.43 .2042 2 0.94 1.43 .2043 1 0.94 1.43 .2044 1 0.94 1.28 .2045 1 0.94 1.40 .2046 1 0.94 1.40 .2047 2 0.94 1.48 EXTRACT_IMAGE: sdR-b2-00034752.fit: masked 1745 pixels EXTRACT_OBJECT: sdR-b2-00034752.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034752.fit: Scattered light median = 15.6932 electrons QAPLOT_SCATLIGHT: sdR-b2-00034752.fit: Scattered light max = 26.8015 electrons EXTRACT_OBJECT: sdR-b2-00034752.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034752.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034752.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034752.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 32 0.01 0.06 Step 10 of 2080 0.62 32 0.01 0.06 Step 14 of 2080 0.62 64 0.02 0.13 Step 18 of 2080 0.61 64 0.03 0.14 Step 22 of 2080 0.61 64 0.03 0.13 Step 26 of 2080 0.61 64 0.03 0.13 Step 30 of 2080 0.61 64 0.03 0.11 Step 34 of 2080 0.61 64 0.02 0.11 Step 38 of 2080 0.61 64 0.03 0.11 Step 42 of 2080 0.61 64 0.03 0.11 Step 46 of 2080 0.61 64 0.03 0.12 Step 50 of 2080 0.61 64 0.03 0.12 Step 54 of 2080 0.61 64 0.03 0.12 Step 58 of 2080 0.61 64 0.03 0.11 Step 62 of 2080 0.61 64 0.03 0.12 Step 66 of 2080 0.61 64 0.03 0.11 Step 70 of 2080 0.61 64 0.03 0.12 Step 74 of 2080 0.61 64 0.03 0.11 Step 78 of 2080 0.61 64 0.03 0.11 Step 82 of 2080 0.61 64 0.03 0.11 Step 86 of 2080 0.61 64 0.03 0.11 Step 90 of 2080 0.61 64 0.03 0.11 Step 94 of 2080 0.61 64 0.03 0.11 Step 98 of 2080 0.60 64 0.03 0.11 Step 102 of 2080 0.60 64 0.03 0.11 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.03 0.12 Step 114 of 2080 0.60 64 0.03 0.13 Step 118 of 2080 0.60 64 0.03 0.12 Step 122 of 2080 0.60 64 0.03 0.13 Step 126 of 2080 0.60 64 0.03 0.12 Step 130 of 2080 0.60 64 0.02 0.11 Step 134 of 2080 0.60 64 0.04 0.14 Step 138 of 2080 0.60 64 0.03 0.11 Step 142 of 2080 0.60 64 0.04 0.12 Step 146 of 2080 0.60 64 0.04 0.13 Step 150 of 2080 0.60 64 0.04 0.12 Step 154 of 2080 0.60 64 0.04 0.16 Step 158 of 2080 0.60 64 0.03 0.13 Step 162 of 2080 0.60 64 0.04 0.14 Step 166 of 2080 0.60 64 0.03 0.12 Step 170 of 2080 0.60 64 0.03 0.14 Step 174 of 2080 0.60 64 0.03 0.13 Step 178 of 2080 0.59 64 0.03 0.13 Step 182 of 2080 0.59 64 0.03 0.12 Step 186 of 2080 0.59 64 0.04 0.13 Step 190 of 2080 0.59 64 0.03 0.12 Step 194 of 2080 0.59 64 0.03 0.14 Step 198 of 2080 0.59 64 0.04 0.13 Step 202 of 2080 0.59 64 0.03 0.14 Step 206 of 2080 0.59 64 0.04 0.13 Step 210 of 2080 0.59 64 0.03 0.12 Step 214 of 2080 0.59 64 0.04 0.13 Step 218 of 2080 0.59 64 0.03 0.12 Step 222 of 2080 0.59 64 0.04 0.13 Step 226 of 2080 0.59 64 0.04 0.14 Step 230 of 2080 0.59 64 0.04 0.14 Step 234 of 2080 0.59 64 0.04 0.14 Step 238 of 2080 0.59 64 0.03 0.12 Step 242 of 2080 0.59 64 0.03 0.12 Step 246 of 2080 0.59 64 0.04 0.13 Step 250 of 2080 0.59 64 0.03 0.12 Step 254 of 2080 0.59 64 0.04 0.12 Step 258 of 2080 0.58 64 0.03 0.13 Step 262 of 2080 0.58 64 0.03 0.12 Step 266 of 2080 0.58 64 0.03 0.13 Step 270 of 2080 0.58 64 0.03 0.12 Step 274 of 2080 0.58 64 0.04 0.13 Step 278 of 2080 0.58 64 0.04 0.14 Step 282 of 2080 0.58 64 0.04 0.12 Step 286 of 2080 0.58 64 0.03 0.11 Step 290 of 2080 0.58 64 0.03 0.12 Step 294 of 2080 0.58 64 0.04 0.13 Step 298 of 2080 0.58 64 0.04 0.14 Step 302 of 2080 0.58 64 0.03 0.12 Step 306 of 2080 0.58 64 0.03 0.14 Step 310 of 2080 0.58 64 0.03 0.12 Step 314 of 2080 0.58 64 0.03 0.11 Step 318 of 2080 0.58 64 0.03 0.12 Step 322 of 2080 0.58 64 0.03 0.12 Step 326 of 2080 0.58 64 0.03 0.12 Step 330 of 2080 0.58 64 0.03 0.11 Step 334 of 2080 0.58 64 0.03 0.12 Step 338 of 2080 0.57 64 0.03 0.12 Step 342 of 2080 0.57 64 0.03 0.11 Step 346 of 2080 0.57 64 0.03 0.12 Step 350 of 2080 0.57 64 0.03 0.13 Step 354 of 2080 0.57 64 0.03 0.12 Step 358 of 2080 0.57 64 0.03 0.12 Step 362 of 2080 0.57 64 0.03 0.12 Step 366 of 2080 0.57 64 0.03 0.12 Step 370 of 2080 0.57 64 0.02 0.11 Step 374 of 2080 0.57 64 0.03 0.12 Step 378 of 2080 0.57 64 0.03 0.12 Step 382 of 2080 0.57 64 0.03 0.12 Step 386 of 2080 0.57 64 0.03 0.13 Step 390 of 2080 0.57 64 0.03 0.11 Step 394 of 2080 0.57 64 0.03 0.12 Step 398 of 2080 0.57 64 0.03 0.13 Step 402 of 2080 0.57 64 0.02 0.12 Step 406 of 2080 0.57 64 0.03 0.12 Step 410 of 2080 0.57 64 0.03 0.12 Step 414 of 2080 0.57 64 0.03 0.11 Step 418 of 2080 0.57 64 0.02 0.11 Step 422 of 2080 0.56 64 0.02 0.11 Step 426 of 2080 0.56 64 0.02 0.11 Step 430 of 2080 0.56 64 0.03 0.12 Step 434 of 2080 0.56 64 0.03 0.11 Step 438 of 2080 0.56 64 0.03 0.11 Step 442 of 2080 0.56 64 0.02 0.10 Step 446 of 2080 0.56 64 0.02 0.10 Step 450 of 2080 0.56 64 0.03 0.12 Step 454 of 2080 0.56 64 0.03 0.11 Step 458 of 2080 0.56 64 0.03 0.12 Step 462 of 2080 0.56 64 0.03 0.12 Step 466 of 2080 0.56 64 0.03 0.11 Step 470 of 2080 0.56 64 0.02 0.12 Step 474 of 2080 0.56 64 0.03 0.12 Step 478 of 2080 0.56 64 0.03 0.12 Step 482 of 2080 0.56 64 0.03 0.12 Step 486 of 2080 0.56 64 0.03 0.13 Step 490 of 2080 0.56 64 0.04 0.12 Step 494 of 2080 0.56 64 0.03 0.13 Step 498 of 2080 0.56 64 0.02 0.11 Step 502 of 2080 0.55 64 0.03 0.13 Step 506 of 2080 0.55 64 0.02 0.11 Step 510 of 2080 0.55 64 0.02 0.11 Step 514 of 2080 0.55 64 0.02 0.11 Step 518 of 2080 0.55 64 0.02 0.12 Step 522 of 2080 0.55 64 0.03 0.12 Step 526 of 2080 0.55 64 0.03 0.12 Step 530 of 2080 0.55 64 0.03 0.13 Step 534 of 2080 0.55 64 0.02 0.11 Step 538 of 2080 0.55 64 0.02 0.12 Step 542 of 2080 0.55 64 0.03 0.11 Step 546 of 2080 0.55 64 0.03 0.12 Step 550 of 2080 0.55 64 0.02 0.10 Step 554 of 2080 0.55 64 0.03 0.12 Step 558 of 2080 0.55 64 0.02 0.11 Step 562 of 2080 0.55 64 0.03 0.12 Step 566 of 2080 0.55 64 0.03 0.11 Step 570 of 2080 0.55 64 0.03 0.11 Step 574 of 2080 0.55 64 0.03 0.11 Step 578 of 2080 0.55 64 0.03 0.11 Step 582 of 2080 0.54 64 0.04 0.12 Step 586 of 2080 0.54 64 0.03 0.12 Step 590 of 2080 0.54 64 0.03 0.13 Step 594 of 2080 0.54 64 0.03 0.12 Step 598 of 2080 0.54 64 0.03 0.12 Step 602 of 2080 0.54 64 0.03 0.12 Step 606 of 2080 0.54 64 0.03 0.11 Step 610 of 2080 0.54 64 0.03 0.12 Step 614 of 2080 0.54 64 0.02 0.11 Step 618 of 2080 0.54 64 0.02 0.11 Step 622 of 2080 0.54 64 0.02 0.11 Step 626 of 2080 0.54 64 0.03 0.12 Step 630 of 2080 0.54 64 0.03 0.13 Step 634 of 2080 0.54 64 0.02 0.12 Step 638 of 2080 0.54 64 0.04 0.13 Step 642 of 2080 0.54 64 0.04 0.13 Step 646 of 2080 0.54 64 0.03 0.12 Step 650 of 2080 0.54 64 0.03 0.12 Step 654 of 2080 0.54 64 0.03 0.11 Step 658 of 2080 0.54 64 0.04 0.14 Step 662 of 2080 0.54 64 0.04 0.14 Step 666 of 2080 0.53 64 0.03 0.13 Step 670 of 2080 0.53 64 0.04 0.13 Step 674 of 2080 0.53 64 0.03 0.13 Step 678 of 2080 0.53 64 0.03 0.12 Step 682 of 2080 0.53 64 0.04 0.14 Step 686 of 2080 0.53 64 0.05 0.14 Step 690 of 2080 0.53 64 0.04 0.13 Step 694 of 2080 0.53 64 0.04 0.13 Step 698 of 2080 0.53 64 0.05 0.14 Step 702 of 2080 0.53 64 0.03 0.13 Step 706 of 2080 0.53 64 0.04 0.13 Step 710 of 2080 0.53 64 0.04 0.13 Step 714 of 2080 0.53 64 0.04 0.12 Step 718 of 2080 0.53 64 0.04 0.14 Step 722 of 2080 0.53 64 0.04 0.12 Step 726 of 2080 0.53 64 0.03 0.12 Step 730 of 2080 0.53 64 0.03 0.12 Step 734 of 2080 0.53 64 0.03 0.12 Step 738 of 2080 0.53 64 0.03 0.12 Step 742 of 2080 0.53 64 0.03 0.13 Step 746 of 2080 0.53 64 0.03 0.12 Step 750 of 2080 0.52 64 0.04 0.13 Step 754 of 2080 0.52 64 0.05 0.14 Step 758 of 2080 0.52 64 0.03 0.12 Step 762 of 2080 0.52 64 0.03 0.12 Step 766 of 2080 0.52 64 0.03 0.14 Step 770 of 2080 0.52 64 0.03 0.13 Step 774 of 2080 0.52 64 0.03 0.13 Step 778 of 2080 0.52 64 0.04 0.14 Step 782 of 2080 0.52 64 0.03 0.14 Step 786 of 2080 0.52 64 0.04 0.12 Step 790 of 2080 0.52 64 0.03 0.12 Step 794 of 2080 0.52 64 0.03 0.12 Step 798 of 2080 0.52 64 0.03 0.12 Step 802 of 2080 0.52 64 0.04 0.13 Step 806 of 2080 0.52 64 0.03 0.12 Step 810 of 2080 0.52 64 0.03 0.12 Step 814 of 2080 0.52 64 0.04 0.13 Step 818 of 2080 0.52 64 0.03 0.12 Step 822 of 2080 0.52 64 0.03 0.12 Step 826 of 2080 0.52 64 0.03 0.11 Step 830 of 2080 0.52 64 0.03 0.11 Step 834 of 2080 0.51 64 0.03 0.11 Step 838 of 2080 0.51 64 0.03 0.12 Step 842 of 2080 0.51 64 0.03 0.12 Step 846 of 2080 0.51 64 0.03 0.14 Step 850 of 2080 0.51 64 0.03 0.14 Step 854 of 2080 0.51 64 0.04 0.14 Step 858 of 2080 0.51 64 0.04 0.13 Step 862 of 2080 0.51 64 0.05 0.13 Step 866 of 2080 0.51 64 0.04 0.14 Step 870 of 2080 0.51 64 0.04 0.13 Step 874 of 2080 0.51 64 0.03 0.13 Step 878 of 2080 0.51 64 0.05 0.15 Step 882 of 2080 0.51 64 0.04 0.12 Step 886 of 2080 0.51 64 0.03 0.12 Step 890 of 2080 0.51 64 0.03 0.12 Step 894 of 2080 0.51 64 0.03 0.11 Step 898 of 2080 0.51 64 0.03 0.12 Step 902 of 2080 0.51 64 0.03 0.11 Step 906 of 2080 0.51 64 0.03 0.13 Step 910 of 2080 0.51 64 0.03 0.11 Step 914 of 2080 0.51 64 0.03 0.13 Step 918 of 2080 0.50 64 0.03 0.12 Step 922 of 2080 0.50 64 0.03 0.13 Step 926 of 2080 0.50 64 0.03 0.12 Step 930 of 2080 0.50 64 0.03 0.12 Step 934 of 2080 0.50 64 0.03 0.11 Step 938 of 2080 0.50 64 0.03 0.11 Step 942 of 2080 0.50 64 0.04 0.12 Step 946 of 2080 0.50 64 0.03 0.13 Step 950 of 2080 0.50 64 0.03 0.12 Step 954 of 2080 0.50 64 0.03 0.12 Step 958 of 2080 0.50 64 0.04 0.15 Step 962 of 2080 0.50 64 0.03 0.13 Step 966 of 2080 0.50 64 0.03 0.13 Step 970 of 2080 0.50 64 0.03 0.14 Step 974 of 2080 0.50 64 0.03 0.12 Step 978 of 2080 0.50 64 0.03 0.12 Step 982 of 2080 0.50 64 0.03 0.11 Step 986 of 2080 0.50 64 0.03 0.12 Step 990 of 2080 0.50 64 0.03 0.14 Step 994 of 2080 0.50 64 0.03 0.14 Step 998 of 2080 0.50 64 0.03 0.12 Step 1002 of 2080 0.49 64 0.03 0.12 Step 1006 of 2080 0.49 64 0.04 0.12 Step 1010 of 2080 0.49 64 0.03 0.11 Step 1014 of 2080 0.49 64 0.03 0.11 Step 1018 of 2080 0.49 64 0.03 0.13 Step 1022 of 2080 0.49 64 0.04 0.12 Step 1026 of 2080 0.49 64 0.03 0.12 Step 1030 of 2080 0.49 64 0.04 0.13 Step 1034 of 2080 0.49 64 0.04 0.12 Step 1038 of 2080 0.49 64 0.04 0.12 Step 1042 of 2080 0.49 64 0.04 0.12 Step 1046 of 2080 0.49 64 0.04 0.13 Step 1050 of 2080 0.49 64 0.04 0.14 Step 1054 of 2080 0.49 64 0.03 0.12 Step 1058 of 2080 0.49 64 0.04 0.14 Step 1062 of 2080 0.49 64 0.03 0.14 Step 1066 of 2080 0.49 64 0.04 0.15 Step 1070 of 2080 0.49 64 0.05 0.13 Step 1074 of 2080 0.49 64 0.03 0.12 Step 1078 of 2080 0.49 64 0.03 0.13 Step 1082 of 2080 0.49 64 0.04 0.14 Step 1086 of 2080 0.48 64 0.04 0.14 Step 1090 of 2080 0.48 64 0.04 0.12 Step 1094 of 2080 0.48 64 0.04 0.12 Step 1098 of 2080 0.48 64 0.03 0.13 Step 1102 of 2080 0.48 64 0.04 0.13 Step 1106 of 2080 0.48 64 0.04 0.13 Step 1110 of 2080 0.48 64 0.04 0.13 Step 1114 of 2080 0.48 64 0.04 0.13 Step 1118 of 2080 0.48 64 0.03 0.14 Step 1122 of 2080 0.48 64 0.04 0.14 Step 1126 of 2080 0.48 64 0.04 0.12 Step 1130 of 2080 0.48 64 0.04 0.12 Step 1134 of 2080 0.48 64 0.03 0.12 Step 1138 of 2080 0.48 64 0.04 0.13 Step 1142 of 2080 0.48 64 0.03 0.12 Step 1146 of 2080 0.48 64 0.05 0.12 Step 1150 of 2080 0.48 64 0.04 0.13 Step 1154 of 2080 0.48 64 0.04 0.13 Step 1158 of 2080 0.48 64 0.05 0.14 Step 1162 of 2080 0.48 64 0.04 0.13 Step 1166 of 2080 0.48 64 0.04 0.12 Step 1170 of 2080 0.48 64 0.04 0.12 Step 1174 of 2080 0.47 64 0.04 0.12 Step 1178 of 2080 0.47 64 0.04 0.13 Step 1182 of 2080 0.47 64 0.04 0.12 Step 1186 of 2080 0.47 64 0.04 0.13 Step 1190 of 2080 0.47 64 0.04 0.13 Step 1194 of 2080 0.47 64 0.04 0.13 Step 1198 of 2080 0.47 64 0.04 0.13 Step 1202 of 2080 0.47 64 0.05 0.16 Step 1206 of 2080 0.47 64 0.03 0.12 Step 1210 of 2080 0.47 64 0.03 0.12 Step 1214 of 2080 0.47 64 0.05 0.13 Step 1218 of 2080 0.47 64 0.04 0.13 Step 1222 of 2080 0.47 64 0.04 0.13 Step 1226 of 2080 0.47 64 0.04 0.13 Step 1230 of 2080 0.47 64 0.04 0.13 Step 1234 of 2080 0.47 64 0.04 0.13 Step 1238 of 2080 0.47 64 0.04 0.12 Step 1242 of 2080 0.47 64 0.04 0.12 Step 1246 of 2080 0.47 64 0.03 0.12 Step 1250 of 2080 0.47 64 0.04 0.13 Step 1254 of 2080 0.47 64 0.03 0.12 Step 1258 of 2080 0.47 64 0.03 0.11 Step 1262 of 2080 0.46 64 0.03 0.13 Step 1266 of 2080 0.46 64 0.03 0.17 Step 1270 of 2080 0.46 64 0.03 0.11 Step 1274 of 2080 0.46 64 0.03 0.12 Step 1278 of 2080 0.46 64 0.02 0.13 Step 1282 of 2080 0.46 64 0.04 0.14 Step 1286 of 2080 0.46 64 0.04 0.14 Step 1290 of 2080 0.46 64 0.03 0.12 Step 1294 of 2080 0.46 64 0.03 0.12 Step 1298 of 2080 0.46 64 0.03 0.12 Step 1302 of 2080 0.46 64 0.02 0.11 Step 1306 of 2080 0.46 64 0.04 0.15 Step 1310 of 2080 0.46 64 0.03 0.13 Step 1314 of 2080 0.46 64 0.05 0.14 Step 1318 of 2080 0.46 64 0.05 0.14 Step 1322 of 2080 0.46 64 0.03 0.13 Step 1326 of 2080 0.46 64 0.03 0.11 Step 1330 of 2080 0.46 64 0.04 0.12 Step 1334 of 2080 0.46 64 0.03 0.11 Step 1338 of 2080 0.46 64 0.03 0.11 Step 1342 of 2080 0.46 64 0.04 0.13 Step 1346 of 2080 0.46 64 0.03 0.13 Step 1350 of 2080 0.45 64 0.03 0.14 Step 1354 of 2080 0.45 64 0.03 0.11 Step 1358 of 2080 0.45 64 0.03 0.12 Step 1362 of 2080 0.45 64 0.03 0.12 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.03 0.11 Step 1374 of 2080 0.45 64 0.03 0.12 Step 1378 of 2080 0.45 64 0.03 0.11 Step 1382 of 2080 0.45 64 0.03 0.14 Step 1386 of 2080 0.45 64 0.04 0.12 Step 1390 of 2080 0.45 64 0.03 0.12 Step 1394 of 2080 0.45 64 0.03 0.12 Step 1398 of 2080 0.45 64 0.03 0.11 Step 1402 of 2080 0.45 64 0.03 0.12 Step 1406 of 2080 0.45 64 0.04 0.14 Step 1410 of 2080 0.45 64 0.05 0.14 Step 1414 of 2080 0.45 64 0.03 0.13 Step 1418 of 2080 0.45 64 0.03 0.12 Step 1422 of 2080 0.45 64 0.03 0.11 Step 1426 of 2080 0.45 64 0.03 0.11 Step 1430 of 2080 0.45 64 0.03 0.12 Step 1434 of 2080 0.45 64 0.03 0.12 Step 1438 of 2080 0.44 64 0.04 0.14 Step 1442 of 2080 0.44 64 0.03 0.12 Step 1446 of 2080 0.44 64 0.03 0.12 Step 1450 of 2080 0.44 64 0.03 0.12 Step 1454 of 2080 0.44 64 0.04 0.12 Step 1458 of 2080 0.44 64 0.04 0.13 Step 1462 of 2080 0.44 64 0.03 0.12 Step 1466 of 2080 0.44 64 0.03 0.12 Step 1470 of 2080 0.44 64 0.02 0.12 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.02 0.13 Step 1482 of 2080 0.44 64 0.02 0.11 Step 1486 of 2080 0.44 64 0.02 0.12 Step 1490 of 2080 0.44 64 0.02 0.12 Step 1494 of 2080 0.44 64 0.03 0.13 Step 1498 of 2080 0.44 64 0.03 0.13 Step 1502 of 2080 0.44 64 0.04 0.12 Step 1506 of 2080 0.44 64 0.03 0.12 Step 1510 of 2080 0.44 64 0.03 0.13 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.03 0.12 Step 1522 of 2080 0.44 64 0.03 0.12 Step 1526 of 2080 0.44 64 0.03 0.12 Step 1530 of 2080 0.43 64 0.04 0.13 Step 1534 of 2080 0.43 64 0.04 0.14 Step 1538 of 2080 0.43 64 0.03 0.11 Step 1542 of 2080 0.43 64 0.04 0.13 Step 1546 of 2080 0.43 64 0.04 0.12 Step 1550 of 2080 0.43 64 0.04 0.13 Step 1554 of 2080 0.43 64 0.03 0.12 Step 1558 of 2080 0.43 64 0.03 0.13 Step 1562 of 2080 0.43 64 0.03 0.12 Step 1566 of 2080 0.43 64 0.03 0.12 Step 1570 of 2080 0.43 64 0.03 0.11 Step 1574 of 2080 0.43 64 0.03 0.11 Step 1578 of 2080 0.43 64 0.03 0.13 Step 1582 of 2080 0.43 64 0.03 0.11 Step 1586 of 2080 0.43 64 0.03 0.13 Step 1590 of 2080 0.43 64 0.02 0.12 Step 1594 of 2080 0.43 64 0.03 0.13 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.12 Step 1610 of 2080 0.43 64 0.03 0.13 Step 1614 of 2080 0.43 64 0.03 0.12 Step 1618 of 2080 0.43 64 0.03 0.14 Step 1622 of 2080 0.42 64 0.04 0.12 Step 1626 of 2080 0.42 64 0.04 0.14 Step 1630 of 2080 0.42 64 0.04 0.14 Step 1634 of 2080 0.42 64 0.04 0.14 Step 1638 of 2080 0.42 64 0.03 0.12 Step 1642 of 2080 0.42 64 0.04 0.13 Step 1646 of 2080 0.42 64 0.04 0.14 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.03 0.12 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.04 0.13 Step 1670 of 2080 0.42 64 0.03 0.11 Step 1674 of 2080 0.42 64 0.03 0.12 Step 1678 of 2080 0.42 64 0.03 0.11 Step 1682 of 2080 0.42 64 0.03 0.11 Step 1686 of 2080 0.42 64 0.03 0.11 Step 1690 of 2080 0.42 64 0.04 0.13 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.04 0.13 Step 1702 of 2080 0.42 64 0.03 0.12 Step 1706 of 2080 0.42 64 0.03 0.13 Step 1710 of 2080 0.42 64 0.02 0.12 Step 1714 of 2080 0.42 64 0.03 0.13 Step 1718 of 2080 0.41 64 0.03 0.13 Step 1722 of 2080 0.41 64 0.03 0.13 Step 1726 of 2080 0.41 64 0.03 0.12 Step 1730 of 2080 0.41 64 0.04 0.13 Step 1734 of 2080 0.41 64 0.03 0.13 Step 1738 of 2080 0.41 64 0.03 0.12 Step 1742 of 2080 0.41 64 0.04 0.13 Step 1746 of 2080 0.41 64 0.04 0.13 Step 1750 of 2080 0.41 64 0.04 0.13 Step 1754 of 2080 0.41 64 0.04 0.13 Step 1758 of 2080 0.41 64 0.04 0.13 Step 1762 of 2080 0.41 64 0.03 0.12 Step 1766 of 2080 0.41 64 0.03 0.11 Step 1770 of 2080 0.41 64 0.03 0.11 Step 1774 of 2080 0.41 64 0.04 0.12 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.03 0.14 Step 1786 of 2080 0.41 64 0.03 0.12 Step 1790 of 2080 0.41 64 0.03 0.11 Step 1794 of 2080 0.41 64 0.03 0.11 Step 1798 of 2080 0.41 64 0.04 0.13 Step 1802 of 2080 0.41 64 0.04 0.12 Step 1806 of 2080 0.41 64 0.03 0.13 Step 1810 of 2080 0.41 64 0.03 0.11 Step 1814 of 2080 0.40 64 0.03 0.12 Step 1818 of 2080 0.40 64 0.03 0.11 Step 1822 of 2080 0.40 64 0.03 0.13 Step 1826 of 2080 0.40 64 0.04 0.12 Step 1830 of 2080 0.40 64 0.04 0.13 Step 1834 of 2080 0.40 64 0.04 0.13 Step 1838 of 2080 0.40 64 0.04 0.12 Step 1842 of 2080 0.40 64 0.04 0.12 Step 1846 of 2080 0.40 64 0.04 0.13 Step 1850 of 2080 0.40 64 0.04 0.13 Step 1854 of 2080 0.40 64 0.04 0.12 Step 1858 of 2080 0.40 64 0.04 0.12 Step 1862 of 2080 0.40 64 0.04 0.12 Step 1866 of 2080 0.40 64 0.05 0.13 Step 1870 of 2080 0.40 64 0.04 0.13 Step 1874 of 2080 0.40 64 0.04 0.12 Step 1878 of 2080 0.40 64 0.03 0.13 Step 1882 of 2080 0.40 64 0.03 0.13 Step 1886 of 2080 0.40 64 0.04 0.13 Step 1890 of 2080 0.40 64 0.03 0.14 Step 1894 of 2080 0.40 64 0.03 0.12 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.04 0.13 Step 1906 of 2080 0.40 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.11 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.03 0.13 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.13 Step 1934 of 2080 0.39 64 0.04 0.12 Step 1938 of 2080 0.39 64 0.04 0.14 Step 1942 of 2080 0.39 64 0.04 0.12 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.02 0.12 Step 1954 of 2080 0.39 64 0.03 0.12 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.04 0.13 Step 1966 of 2080 0.39 64 0.03 0.13 Step 1970 of 2080 0.39 64 0.04 0.12 Step 1974 of 2080 0.39 64 0.04 0.13 Step 1978 of 2080 0.39 64 0.04 0.13 Step 1982 of 2080 0.39 64 0.04 0.13 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.04 0.12 Step 1994 of 2080 0.39 64 0.05 0.15 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.39 64 0.04 0.13 Step 2010 of 2080 0.38 64 0.04 0.13 Step 2014 of 2080 0.38 64 0.05 0.15 Step 2018 of 2080 0.38 64 0.03 0.13 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.03 0.11 Step 2030 of 2080 0.38 64 0.03 0.12 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.04 0.14 Step 2042 of 2080 0.38 64 0.03 0.13 Step 2046 of 2080 0.38 64 0.02 0.11 Step 2050 of 2080 0.38 64 0.03 0.12 Step 2054 of 2080 0.38 64 0.03 0.12 Step 2058 of 2080 0.38 64 0.03 0.12 Step 2062 of 2080 0.38 64 0.03 0.12 Step 2066 of 2080 0.38 64 0.03 0.11 Step 2070 of 2080 0.38 64 0.03 0.11 Step 2074 of 2080 0.38 64 0.03 0.11 Step 2078 of 2080 0.38 64 0.03 0.12 EXTRACT_OBJECT: sdR-b2-00034752.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 2 0.91 1.39 .0001 1 0.91 1.39 .0002 1 0.91 1.58 .0003 3 0.91 1.47 .0004 2 0.91 1.49 .0005 3 0.91 1.51 .0006 3 0.91 1.40 .0007 1 0.91 1.43 .0008 2 0.91 1.49 .0009 3 0.91 1.45 .0010 2 0.91 1.35 .0011 1 0.91 1.44 .0012 1 0.91 1.44 .0013 2 0.91 1.31 .0014 1 0.91 1.42 .0015 3 0.91 1.39 .0016 1 0.91 1.34 .0017 2 0.91 1.22 .0018 2 0.91 1.39 .0019 3 0.91 1.23 .0020 1 0.91 1.25 .0021 1 0.91 1.30 .0022 1 0.91 1.38 .0023 1 0.91 1.23 .0024 2 0.91 1.20 .0025 1 0.91 1.20 .0026 1 0.91 1.26 .0027 1 0.91 1.18 .0028 1 0.91 1.17 .0029 1 0.91 1.20 .0030 1 0.91 1.30 .0031 1 0.91 1.18 .0032 1 0.91 1.20 .0033 1 0.91 1.18 .0034 2 0.91 1.27 .0035 2 0.91 1.19 .0036 2 0.91 1.24 .0037 2 0.91 1.20 .0038 2 0.91 1.14 .0039 1 0.91 1.17 .0040 2 0.91 1.15 .0041 1 0.91 1.19 .0042 3 0.91 1.18 .0043 1 0.91 1.21 .0044 1 0.91 1.13 .0045 1 0.91 1.18 .0046 1 0.91 1.11 .0047 1 0.91 1.16 .0048 2 0.91 1.19 .0049 2 0.91 1.22 .0050 1 0.91 1.15 .0051 2 0.91 1.09 .0052 2 0.91 1.12 .0053 2 0.91 1.23 .0054 4 0.91 1.16 .0055 1 0.91 1.25 .0056 1 0.91 1.10 .0057 1 0.91 1.21 .0058 2 0.91 1.11 .0059 1 0.91 1.28 .0060 1 0.91 1.15 .0061 1 0.91 1.18 .0062 1 0.91 1.14 .0063 2 0.91 1.33 .0064 3 0.91 1.33 .0065 1 0.91 1.18 .0066 1 0.91 1.21 .0067 1 0.91 1.26 .0068 1 0.91 1.29 .0069 1 0.91 1.17 .0070 1 0.91 1.33 .0071 3 0.91 1.28 .0072 1 0.91 1.35 .0073 4 0.91 1.18 .0074 3 0.91 1.24 .0075 1 0.91 1.43 .0076 1 0.91 1.36 .0077 1 0.91 1.30 .0078 1 0.91 1.34 .0079 1 0.91 1.30 .0080 4 0.91 1.37 .0081 3 0.91 1.36 .0082 3 0.91 1.41 .0083 1 0.91 1.26 .0084 1 0.91 1.40 .0085 1 0.91 1.38 .0086 2 0.91 1.41 .0087 1 0.91 1.37 .0088 1 0.91 1.41 .0089 3 0.91 1.40 .0090 3 0.91 1.41 .0091 1 0.91 1.40 .0092 1 0.91 1.42 .0093 1 0.91 1.46 .0094 1 0.91 1.44 .0095 1 0.91 1.40 .0096 2 0.91 1.43 .0097 2 0.91 1.43 .0098 2 0.91 1.45 .0099 2 0.91 1.65 .0100 1 0.91 1.45 .0101 1 0.91 1.44 .0102 3 0.91 1.41 .0103 3 0.91 1.47 .0104 2 0.91 1.52 .0105 1 0.91 1.44 .0106 1 0.91 1.46 .0107 1 0.91 1.53 .0108 2 0.91 1.39 .0109 1 0.91 1.48 .0110 2 0.91 1.54 .0111 4 0.91 1.54 .0112 2 0.91 1.57 .0113 2 0.91 1.53 .0114 3 0.91 1.47 .0115 2 0.91 1.54 .0116 1 0.91 1.31 .0117 1 0.91 1.40 .0118 1 0.91 1.41 .0119 2 0.91 1.44 .0120 4 0.91 1.41 .0121 2 0.91 1.53 .0122 1 0.91 1.48 .0123 2 0.91 1.44 .0124 1 0.91 1.33 .0125 1 0.91 1.41 .0126 1 0.91 1.42 .0127 3 0.91 1.44 .0128 2 0.91 1.51 .0129 1 0.91 1.44 .0130 1 0.91 1.40 .0131 1 0.91 1.47 .0132 1 0.91 1.43 .0133 2 0.91 1.40 .0134 2 0.91 1.38 .0135 2 0.91 1.46 .0136 1 0.91 1.35 .0137 1 0.91 1.36 .0138 1 0.91 1.54 .0139 3 0.91 1.33 .0140 1 0.91 1.38 .0141 2 0.91 1.38 .0142 1 0.91 1.42 .0143 1 0.91 1.47 .0144 1 0.91 1.40 .0145 1 0.91 1.49 .0146 1 0.91 1.39 .0147 1 0.91 1.38 .0148 1 0.91 1.55 .0149 1 0.91 1.47 .0150 1 0.91 1.54 .0151 4 0.91 1.46 .0152 2 0.91 1.51 .0153 2 0.91 1.57 .0154 2 0.91 1.57 .0155 2 0.91 1.44 .0156 2 0.91 1.47 .0157 2 0.91 1.49 .0158 2 0.91 1.45 .0159 1 0.91 1.38 .0160 1 0.91 1.40 .0161 3 0.91 1.34 .0162 1 0.91 1.52 .0163 2 0.91 1.45 .0164 4 0.91 1.42 .0165 1 0.91 1.54 .0166 1 0.91 1.28 .0167 3 0.91 1.43 .0168 2 0.92 1.35 .0169 3 0.92 1.42 .0170 3 0.92 1.48 .0171 1 0.92 1.42 .0172 2 0.92 1.41 .0173 3 0.92 1.50 .0174 3 0.92 1.40 .0175 1 0.92 1.44 .0176 3 0.92 1.48 .0177 3 0.92 1.56 .0178 1 0.92 1.51 .0179 1 0.92 1.38 .0180 1 0.92 1.44 .0181 2 0.92 1.44 .0182 1 0.92 1.43 .0183 2 0.92 1.49 .0184 2 0.92 1.58 .0185 3 0.92 1.46 .0186 1 0.92 1.58 .0187 1 0.92 1.46 .0188 1 0.92 1.42 .0189 1 0.92 1.52 .0190 2 0.92 1.48 .0191 2 0.92 1.50 .0192 4 0.92 1.42 .0193 1 0.92 1.63 .0194 1 0.92 1.48 .0195 1 0.92 1.49 .0196 1 0.92 1.55 .0197 1 0.92 1.39 .0198 2 0.92 1.41 .0199 1 0.92 1.41 .0200 1 0.92 1.45 .0201 1 0.92 1.46 .0202 1 0.92 1.42 .0203 4 0.92 1.49 .0204 2 0.92 1.68 .0205 1 0.92 1.50 .0206 1 0.92 1.55 .0207 3 0.92 1.47 .0208 5 0.92 1.53 .0209 1 0.92 1.58 .0210 2 0.92 1.64 .0211 3 0.92 1.49 .0212 1 0.92 1.46 .0213 4 0.92 1.38 .0214 2 0.92 1.44 .0215 3 0.92 1.42 .0216 2 0.92 1.43 .0217 1 0.92 1.46 .0218 2 0.92 1.36 .0219 1 0.92 1.41 .0220 1 0.92 1.38 .0221 2 0.92 1.44 .0222 2 0.92 1.31 .0223 3 0.92 1.40 .0224 2 0.92 1.44 .0225 1 0.92 1.47 .0226 1 0.92 1.49 .0227 1 0.92 1.46 .0228 1 0.92 1.44 .0229 1 0.92 1.50 .0230 1 0.92 1.45 .0231 1 0.92 1.63 .0232 1 0.92 1.55 .0233 3 0.92 1.47 .0234 2 0.92 1.53 .0235 2 0.92 1.43 .0236 2 0.92 1.52 .0237 2 0.92 1.68 .0238 1 0.92 1.64 .0239 2 0.92 1.56 .0240 2 0.92 1.55 .0241 1 0.92 1.51 .0242 1 0.92 1.46 .0243 3 0.92 1.57 .0244 1 0.92 1.49 .0245 2 0.92 1.50 .0246 1 0.92 1.55 .0247 1 0.92 1.47 .0248 1 0.92 1.57 .0249 2 0.92 1.56 .0250 1 0.92 1.54 .0251 3 0.92 1.53 .0252 2 0.92 1.73 .0253 2 0.92 1.81 .0254 3 0.92 1.66 .0255 1 0.92 1.53 .0256 2 0.92 1.59 .0257 1 0.92 1.57 .0258 1 0.92 1.60 .0259 1 0.92 1.54 .0260 1 0.92 1.53 .0261 1 0.92 1.58 .0262 3 0.92 1.60 .0263 1 0.92 1.61 .0264 1 0.92 1.60 .0265 4 0.92 1.60 .0266 4 0.92 1.64 .0267 1 0.92 1.56 .0268 3 0.92 1.60 .0269 2 0.92 1.71 .0270 2 0.92 1.58 .0271 3 0.92 1.66 .0272 3 0.92 1.56 .0273 2 0.92 1.60 .0274 2 0.92 1.57 .0275 2 0.92 1.55 .0276 2 0.92 1.67 .0277 2 0.92 1.59 .0278 1 0.92 1.71 .0279 1 0.92 1.67 .0280 1 0.92 1.65 .0281 1 0.92 1.62 .0282 1 0.92 1.62 .0283 1 0.92 1.69 .0284 1 0.92 1.56 .0285 3 0.92 1.72 .0286 1 0.92 1.67 .0287 2 0.92 1.74 .0288 3 0.92 1.76 .0289 2 0.92 1.60 .0290 2 0.92 1.61 .0291 1 0.92 1.65 .0292 1 0.92 1.67 .0293 1 0.92 1.59 .0294 3 0.92 1.60 .0295 2 0.92 1.60 .0296 1 0.92 1.87 .0297 1 0.92 1.75 .0298 1 0.92 1.72 .0299 1 0.92 1.76 .0300 1 0.92 1.72 .0301 1 0.92 1.72 .0302 3 0.92 1.73 .0303 1 0.92 1.74 .0304 2 0.92 1.64 .0305 3 0.92 1.72 .0306 2 0.92 1.67 .0307 3 0.92 1.78 .0308 3 0.92 1.78 .0309 1 0.92 1.70 .0310 2 0.92 1.74 .0311 3 0.92 1.78 .0312 4 0.92 1.78 .0313 3 0.92 1.88 .0314 4 0.92 1.75 .0315 2 0.92 1.72 .0316 3 0.92 1.74 .0317 1 0.92 1.72 .0318 1 0.92 1.69 .0319 2 0.92 1.75 .0320 1 0.92 1.73 .0321 1 0.92 1.69 .0322 3 0.92 1.66 .0323 1 0.92 1.84 .0324 2 0.92 1.76 .0325 1 0.92 1.83 .0326 2 0.92 1.81 .0327 3 0.92 1.71 .0328 2 0.92 1.68 .0329 1 0.92 1.76 .0330 3 0.92 1.78 .0331 3 0.92 1.69 .0332 1 0.92 1.66 .0333 1 0.92 1.70 .0334 1 0.92 1.64 .0335 2 0.92 1.74 .0336 3 0.92 1.72 .0337 3 0.92 1.64 .0338 1 0.92 1.83 .0339 1 0.92 1.77 .0340 1 0.92 1.68 .0341 1 0.92 1.72 .0342 1 0.92 1.76 .0343 1 0.92 1.65 .0344 2 0.92 1.76 .0345 1 0.92 1.74 .0346 1 0.92 1.88 .0347 1 0.92 1.72 .0348 1 0.92 1.70 .0349 1 0.92 1.80 .0350 1 0.92 1.82 .0351 1 0.92 1.82 .0352 1 0.92 1.80 .0353 1 0.92 1.67 .0354 3 0.92 1.83 .0355 1 0.92 1.83 .0356 2 0.92 1.81 .0357 2 0.92 1.80 .0358 1 0.92 1.77 .0359 1 0.92 1.72 .0360 1 0.92 1.75 .0361 1 0.92 1.79 .0362 1 0.92 1.81 .0363 2 0.92 1.87 .0364 1 0.92 1.86 .0365 1 0.92 1.74 .0366 1 0.92 1.76 .0367 2 0.92 1.72 .0368 3 0.92 1.79 .0369 1 0.92 1.73 .0370 3 0.92 1.81 .0371 3 0.92 1.86 .0372 1 0.92 1.75 .0373 1 0.92 1.80 .0374 1 0.92 1.74 .0375 2 0.92 1.73 .0376 1 0.92 1.92 .0377 1 0.92 1.84 .0378 3 0.92 1.78 .0379 3 0.92 1.81 .0380 2 0.92 1.73 .0381 1 0.92 1.84 .0382 1 0.92 1.86 .0383 2 0.92 1.78 .0384 1 0.92 1.74 .0385 2 0.92 1.85 .0386 2 0.92 1.74 .0387 1 0.92 1.69 .0388 1 0.92 1.77 .0389 3 0.92 1.87 .0390 1 0.92 1.71 .0391 2 0.92 1.79 .0392 1 0.92 1.73 .0393 2 0.92 1.82 .0394 1 0.92 1.80 .0395 1 0.92 1.75 .0396 1 0.92 1.86 .0397 1 0.92 1.71 .0398 1 0.92 1.73 .0399 1 0.92 1.75 .0400 1 0.92 1.75 .0401 1 0.92 1.91 .0402 4 0.92 1.77 .0403 1 0.92 1.94 .0404 1 0.92 1.76 .0405 3 0.92 1.73 .0406 3 0.93 1.82 .0407 1 0.93 1.75 .0408 2 0.93 1.87 .0409 2 0.93 1.74 .0410 2 0.93 1.76 .0411 2 0.93 1.79 .0412 1 0.93 1.73 .0413 1 0.93 1.71 .0414 2 0.93 1.84 .0415 1 0.93 1.71 .0416 1 0.93 1.83 .0417 1 0.93 1.76 .0418 1 0.93 1.84 .0419 1 0.93 1.78 .0420 1 0.93 1.83 .0421 1 0.93 1.67 .0422 1 0.93 1.84 .0423 3 0.93 1.74 .0424 3 0.93 1.80 .0425 1 0.93 1.68 .0426 2 0.93 1.88 .0427 2 0.93 1.80 .0428 3 0.93 1.74 .0429 1 0.93 1.80 .0430 2 0.93 1.82 .0431 2 0.93 1.83 .0432 1 0.93 1.67 .0433 1 0.93 1.73 .0434 1 0.93 1.84 .0435 1 0.93 1.73 .0436 1 0.93 1.75 .0437 2 0.93 1.83 .0438 1 0.93 1.82 .0439 1 0.93 1.83 .0440 1 0.93 1.74 .0441 1 0.93 1.68 .0442 3 0.93 1.81 .0443 3 0.93 1.80 .0444 3 0.93 1.71 .0445 2 0.93 1.76 .0446 1 0.93 1.85 .0447 2 0.93 1.73 .0448 1 0.93 1.81 .0449 1 0.93 1.74 .0450 1 0.93 1.80 .0451 1 0.93 1.81 .0452 2 0.93 1.84 .0453 1 0.93 1.87 .0454 1 0.93 1.80 .0455 1 0.93 1.72 .0456 1 0.93 1.69 .0457 3 0.93 1.77 .0458 1 0.93 1.72 .0459 1 0.93 1.85 .0460 1 0.93 1.81 .0461 2 0.93 1.82 .0462 1 0.93 1.90 .0463 2 0.93 1.77 .0464 1 0.93 1.85 .0465 2 0.93 1.79 .0466 2 0.93 1.67 .0467 2 0.93 1.85 .0468 1 0.93 1.89 .0469 2 0.93 1.73 .0470 1 0.93 1.76 .0471 3 0.93 1.73 .0472 3 0.93 1.88 .0473 1 0.93 1.81 .0474 2 0.93 1.82 .0475 1 0.93 1.79 .0476 1 0.93 1.77 .0477 2 0.93 1.79 .0478 1 0.93 1.82 .0479 1 0.93 1.69 .0480 1 0.93 1.79 .0481 2 0.93 2.03 .0482 1 0.93 1.79 .0483 1 0.93 1.69 .0484 1 0.93 1.87 .0485 1 0.93 1.75 .0486 1 0.93 1.76 .0487 1 0.93 1.71 .0488 3 0.93 1.84 .0489 3 0.93 1.79 .0490 2 0.93 1.83 .0491 1 0.93 1.73 .0492 1 0.93 1.80 .0493 1 0.93 1.84 .0494 1 0.93 1.83 .0495 1 0.93 1.77 .0496 1 0.93 1.87 .0497 1 0.93 1.78 .0498 2 0.93 1.76 .0499 1 0.93 1.77 .0500 1 0.93 1.74 .0501 1 0.93 1.86 .0502 1 0.93 1.83 .0503 1 0.93 1.90 .0504 1 0.93 1.71 .0505 1 0.93 1.79 .0506 2 0.93 1.82 .0507 1 0.93 1.65 .0508 2 0.93 1.78 .0509 1 0.93 1.67 .0510 1 0.93 1.81 .0511 3 0.93 1.86 .0512 3 0.93 1.74 .0513 1 0.93 1.76 .0514 1 0.93 1.66 .0515 1 0.93 1.78 .0516 3 0.93 1.77 .0517 3 0.93 1.99 .0518 1 0.93 1.87 .0519 2 0.93 1.70 .0520 1 0.93 1.79 .0521 1 0.93 1.81 .0522 2 0.93 1.80 .0523 3 0.93 1.98 .0524 3 0.93 1.72 .0525 1 0.93 1.78 .0526 2 0.93 1.79 .0527 2 0.93 1.72 .0528 1 0.93 1.84 .0529 1 0.93 1.78 .0530 2 0.93 1.81 .0531 3 0.93 1.73 .0532 1 0.93 1.84 .0533 1 0.93 1.76 .0534 1 0.93 1.83 .0535 1 0.93 1.82 .0536 1 0.93 1.73 .0537 1 0.93 1.61 .0538 1 0.93 1.75 .0539 2 0.93 1.81 .0540 2 0.93 1.82 .0541 1 0.93 1.68 .0542 1 0.93 1.72 .0543 2 0.93 1.90 .0544 3 0.93 1.66 .0545 2 0.93 1.78 .0546 1 0.93 1.85 .0547 1 0.93 1.85 .0548 3 0.93 1.61 .0549 1 0.93 1.69 .0550 1 0.93 1.67 .0551 1 0.93 1.81 .0552 2 0.93 1.83 .0553 2 0.93 1.84 .0554 3 0.93 1.71 .0555 1 0.93 1.77 .0556 1 0.93 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1 0.91 1.55 .1612 1 0.91 1.54 .1613 2 0.91 1.52 .1614 3 0.91 1.52 .1615 2 0.91 1.45 .1616 1 0.91 1.47 .1617 1 0.91 1.50 .1618 1 0.91 1.51 .1619 4 0.91 1.46 .1620 3 0.91 1.48 .1621 1 0.91 1.49 .1622 1 0.91 1.55 .1623 1 0.91 1.44 .1624 1 0.91 1.52 .1625 1 0.91 1.50 .1626 1 0.91 1.50 .1627 1 0.91 1.68 .1628 1 0.91 1.51 .1629 1 0.91 1.58 .1630 2 0.91 1.62 .1631 2 0.91 1.47 .1632 1 0.91 1.58 .1633 1 0.91 1.44 .1634 2 0.91 1.39 .1635 3 0.91 1.70 .1636 2 0.91 1.54 .1637 1 0.91 1.56 .1638 1 0.91 1.40 .1639 1 0.91 1.48 .1640 4 0.91 1.47 .1641 2 0.91 1.60 .1642 1 0.91 1.51 .1643 1 0.91 1.63 .1644 2 0.91 1.60 .1645 1 0.91 1.53 .1646 1 0.91 1.53 .1647 1 0.91 1.48 .1648 1 0.91 1.50 .1649 1 0.91 1.58 .1650 1 0.91 1.61 .1651 3 0.91 1.45 .1652 3 0.91 1.63 .1653 1 0.91 1.56 .1654 1 0.91 1.50 .1655 3 0.91 1.64 .1656 3 0.91 1.54 .1657 3 0.91 1.60 .1658 3 0.91 1.52 .1659 1 0.91 1.44 .1660 1 0.91 1.53 .1661 1 0.91 1.47 .1662 1 0.91 1.64 .1663 1 0.91 1.67 .1664 2 0.91 1.54 .1665 1 0.91 1.54 .1666 1 0.91 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3 0.91 1.47 .1723 3 0.91 1.58 .1724 1 0.91 1.53 .1725 1 0.91 1.46 .1726 1 0.91 1.56 .1727 2 0.91 1.62 .1728 2 0.91 1.53 .1729 1 0.91 1.60 .1730 2 0.91 1.48 .1731 2 0.91 1.64 .1732 2 0.91 1.55 .1733 1 0.91 1.53 .1734 1 0.91 1.54 .1735 1 0.91 1.54 .1736 2 0.91 1.53 .1737 1 0.91 1.53 .1738 1 0.91 1.55 .1739 1 0.91 1.65 .1740 1 0.91 1.58 .1741 1 0.91 1.56 .1742 1 0.91 1.55 .1743 1 0.91 1.47 .1744 1 0.91 1.59 .1745 2 0.91 1.54 .1746 2 0.91 1.56 .1747 1 0.91 1.53 .1748 2 0.91 1.67 .1749 1 0.91 1.63 .1750 1 0.91 1.55 .1751 3 0.91 1.44 .1752 1 0.91 1.56 .1753 2 0.91 1.48 .1754 1 0.91 1.44 .1755 1 0.91 1.43 .1756 1 0.91 1.45 .1757 1 0.91 1.34 .1758 1 0.91 1.43 .1759 2 0.91 1.64 .1760 2 0.91 1.55 .1761 2 0.91 1.48 .1762 3 0.91 1.35 .1763 2 0.91 1.36 .1764 2 0.91 1.48 .1765 1 0.91 1.40 .1766 1 0.91 1.51 .1767 1 0.91 1.52 .1768 3 0.91 1.55 .1769 2 0.91 1.52 .1770 1 0.91 1.53 .1771 1 0.91 1.45 .1772 1 0.91 1.48 .1773 3 0.91 1.49 .1774 2 0.91 1.43 .1775 1 0.91 1.48 .1776 1 0.91 1.49 .1777 1 0.91 1.56 .1778 1 0.91 1.43 .1779 1 0.91 1.44 .1780 1 0.91 1.52 .1781 2 0.91 1.52 .1782 3 0.91 1.62 .1783 1 0.91 1.55 .1784 2 0.91 1.67 .1785 4 0.91 1.49 .1786 3 0.91 1.57 .1787 3 0.91 1.65 .1788 3 0.91 1.60 .1789 1 0.91 1.56 .1790 2 0.91 1.61 .1791 3 0.91 1.74 .1792 3 0.91 1.48 .1793 3 0.91 1.53 .1794 2 0.91 1.67 .1795 3 0.91 1.61 .1796 2 0.91 1.64 .1797 2 0.91 1.55 .1798 1 0.91 1.60 .1799 1 0.91 1.57 .1800 3 0.91 1.57 .1801 2 0.91 1.76 .1802 1 0.91 1.54 .1803 2 0.91 1.54 .1804 2 0.91 1.56 .1805 1 0.91 1.56 .1806 1 0.91 1.52 .1807 1 0.91 1.48 .1808 2 0.91 1.54 .1809 2 0.91 1.56 .1810 1 0.91 1.60 .1811 2 0.91 1.64 .1812 1 0.91 1.54 .1813 1 0.91 1.66 .1814 3 0.91 1.58 .1815 1 0.91 1.65 .1816 1 0.91 1.53 .1817 3 0.91 1.59 .1818 4 0.91 1.87 .1819 3 0.91 1.66 .1820 3 0.91 1.64 .1821 1 0.91 1.70 .1822 2 0.91 1.71 .1823 1 0.91 1.71 .1824 1 0.91 1.60 .1825 2 0.91 1.63 .1826 2 0.91 1.68 .1827 3 0.91 1.71 .1828 3 0.91 1.50 .1829 3 0.91 1.66 .1830 2 0.91 1.58 .1831 2 0.91 1.55 .1832 1 0.91 1.67 .1833 1 0.91 1.59 .1834 2 0.91 1.65 .1835 1 0.91 1.65 .1836 2 0.91 1.76 .1837 3 0.91 1.51 .1838 1 0.91 1.67 .1839 2 0.91 1.64 .1840 1 0.91 1.58 .1841 2 0.91 1.74 .1842 1 0.91 1.75 .1843 3 0.91 1.70 .1844 1 0.91 1.69 .1845 3 0.91 1.57 .1846 1 0.91 1.59 .1847 1 0.91 1.74 .1848 2 0.91 1.61 .1849 2 0.91 1.82 .1850 1 0.91 1.66 .1851 1 0.91 1.69 .1852 1 0.91 1.68 .1853 1 0.91 1.63 .1854 1 0.91 1.59 .1855 1 0.91 1.73 .1856 1 0.91 1.61 .1857 3 0.91 1.70 .1858 3 0.91 1.72 .1859 1 0.91 1.54 .1860 1 0.91 1.60 .1861 1 0.91 1.67 .1862 2 0.91 1.61 .1863 2 0.91 1.59 .1864 1 0.91 1.72 .1865 3 0.91 1.64 .1866 1 0.91 1.74 .1867 2 0.92 1.73 .1868 1 0.92 1.61 .1869 1 0.92 1.60 .1870 1 0.92 1.68 .1871 2 0.92 1.63 .1872 3 0.92 1.62 .1873 1 0.92 1.53 .1874 2 0.92 1.60 .1875 5 0.92 1.71 .1876 1 0.92 1.62 .1877 1 0.92 1.55 .1878 2 0.92 1.64 .1879 4 0.92 1.59 .1880 4 0.92 1.67 .1881 3 0.92 1.65 .1882 1 0.92 1.55 .1883 1 0.92 1.54 .1884 2 0.92 1.55 .1885 1 0.92 1.48 .1886 2 0.92 1.42 .1887 3 0.92 1.42 .1888 2 0.92 1.34 .1889 2 0.92 1.40 .1890 3 0.92 1.44 .1891 2 0.92 1.54 .1892 3 0.92 1.29 .1893 3 0.92 1.41 .1894 2 0.92 1.51 .1895 1 0.92 1.40 .1896 1 0.92 1.48 .1897 2 0.92 1.44 .1898 2 0.92 1.42 .1899 4 0.92 1.65 .1900 3 0.92 1.66 .1901 2 0.92 1.46 .1902 2 0.92 1.41 .1903 2 0.92 1.51 .1904 2 0.92 1.40 .1905 1 0.92 1.35 .1906 3 0.92 1.46 .1907 2 0.92 1.39 .1908 1 0.92 1.36 .1909 3 0.92 1.41 .1910 2 0.92 1.61 .1911 2 0.92 1.44 .1912 3 0.92 1.46 .1913 2 0.92 1.58 .1914 1 0.92 1.60 .1915 1 0.92 1.56 .1916 1 0.92 1.58 .1917 1 0.92 1.42 .1918 1 0.92 1.46 .1919 2 0.92 1.47 .1920 3 0.92 1.45 .1921 2 0.92 1.47 .1922 1 0.92 1.38 .1923 2 0.92 1.58 .1924 1 0.92 1.32 .1925 2 0.92 1.40 .1926 1 0.92 1.61 .1927 2 0.92 1.37 .1928 2 0.92 1.39 .1929 3 0.92 1.40 .1930 1 0.92 1.46 .1931 1 0.92 1.54 .1932 3 0.92 1.53 .1933 1 0.92 1.59 .1934 3 0.92 1.56 .1935 2 0.92 1.50 .1936 2 0.92 1.46 .1937 3 0.92 1.57 .1938 2 0.92 1.56 .1939 2 0.92 1.48 .1940 1 0.92 1.56 .1941 2 0.92 1.55 .1942 3 0.92 1.49 .1943 1 0.92 1.45 .1944 3 0.92 1.43 .1945 3 0.92 1.53 .1946 2 0.92 1.52 .1947 1 0.92 1.45 .1948 1 0.92 1.47 .1949 1 0.92 1.52 .1950 1 0.92 1.55 .1951 1 0.92 1.42 .1952 1 0.92 1.49 .1953 1 0.92 1.57 .1954 2 0.92 1.53 .1955 1 0.92 1.54 .1956 1 0.92 1.58 .1957 2 0.92 1.56 .1958 3 0.92 1.55 .1959 3 0.92 1.61 .1960 3 0.92 1.68 .1961 3 0.92 1.42 .1962 2 0.92 1.58 .1963 2 0.92 1.50 .1964 2 0.92 1.51 .1965 1 0.92 1.46 .1966 1 0.92 1.48 .1967 1 0.93 1.37 .1968 3 0.93 1.41 .1969 3 0.93 1.39 .1970 2 0.93 1.33 .1971 1 0.93 1.36 .1972 1 0.93 1.39 .1973 1 0.93 1.34 .1974 1 0.93 1.39 .1975 1 0.93 1.41 .1976 1 0.93 1.37 .1977 1 0.93 1.40 .1978 3 0.93 1.29 .1979 1 0.93 1.40 .1980 1 0.93 1.41 .1981 1 0.93 1.35 .1982 1 0.93 1.33 .1983 1 0.93 1.32 .1984 3 0.93 1.49 .1985 4 0.93 1.47 .1986 1 0.93 1.36 .1987 3 0.93 1.48 .1988 3 0.93 1.39 .1989 1 0.93 1.35 .1990 1 0.93 1.48 .1991 1 0.93 1.44 .1992 1 0.93 1.49 .1993 3 0.93 1.45 .1994 3 0.93 1.46 .1995 2 0.93 1.38 .1996 3 0.93 1.48 .1997 2 0.93 1.54 .1998 1 0.93 1.55 .1999 3 0.93 1.45 .2000 3 0.93 1.49 .2001 1 0.93 1.45 .2002 3 0.93 1.54 .2003 3 0.93 1.47 .2004 2 0.93 1.52 .2005 2 0.93 1.61 .2006 2 0.93 1.53 .2007 1 0.93 1.51 .2008 1 0.93 1.44 .2009 1 0.93 1.53 .2010 2 0.93 1.56 .2011 3 0.93 1.43 .2012 3 0.93 1.53 .2013 3 0.93 1.48 .2014 3 0.93 1.49 .2015 1 0.93 1.48 .2016 2 0.93 1.51 .2017 4 0.93 1.45 .2018 3 0.93 1.43 .2019 1 0.93 1.38 .2020 2 0.93 1.53 .2021 4 0.93 1.38 .2022 3 0.93 1.35 .2023 2 0.93 1.38 .2024 1 0.93 1.41 .2025 1 0.93 1.45 .2026 1 0.93 1.31 .2027 1 0.93 1.29 .2028 1 0.93 1.32 .2029 1 0.93 1.32 .2030 1 0.93 1.36 .2031 1 0.93 1.35 .2032 2 0.93 1.44 .2033 2 0.93 1.40 .2034 2 0.93 1.40 .2035 3 0.93 1.32 .2036 1 0.93 1.42 .2037 1 0.93 1.37 .2038 1 0.93 1.33 .2039 1 0.93 1.34 .2040 2 0.94 1.26 .2041 1 0.94 1.34 .2042 2 0.94 1.35 .2043 1 0.94 1.34 .2044 1 0.94 1.20 .2045 1 0.94 1.32 .2046 1 0.94 1.32 .2047 2 0.94 1.39 EXTRACT_IMAGE: sdR-b2-00034752.fit: masked 1772 pixels EXTRACT_OBJECT: sdR-b2-00034752.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034752.fit: Scattered light median = 1.63124 electrons QAPLOT_SCATLIGHT: sdR-b2-00034752.fit: Scattered light max = 17.6090 electrons EXTRACT_OBJECT: sdR-b2-00034752.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 2 0.91 1.78 .0001 1 0.91 1.56 .0002 1 0.91 1.66 .0003 3 0.91 1.55 .0004 3 0.91 1.51 .0005 4 0.91 1.56 .0006 3 0.91 1.45 .0007 1 0.91 1.51 .0008 3 0.91 1.48 .0009 3 0.91 1.53 .0010 2 0.91 1.42 .0011 1 0.91 1.47 .0012 1 0.91 1.49 .0013 3 0.91 1.31 .0014 1 0.91 1.43 .0015 4 0.91 1.38 .0016 2 0.91 1.31 .0017 2 0.91 1.27 .0018 2 0.91 1.39 .0019 3 0.91 1.29 .0020 1 0.91 1.27 .0021 1 0.91 1.31 .0022 2 0.91 1.31 .0023 1 0.91 1.24 .0024 2 0.91 1.20 .0025 1 0.91 1.22 .0026 1 0.91 1.27 .0027 1 0.91 1.22 .0028 1 0.91 1.17 .0029 1 0.91 1.20 .0030 1 0.91 1.28 .0031 1 0.91 1.18 .0032 1 0.91 1.23 .0033 1 0.91 1.20 .0034 2 0.91 1.27 .0035 2 0.91 1.20 .0036 2 0.91 1.25 .0037 2 0.91 1.22 .0038 2 0.91 1.15 .0039 1 0.91 1.19 .0040 4 0.91 1.17 .0041 1 0.91 1.19 .0042 3 0.91 1.21 .0043 1 0.91 1.21 .0044 1 0.91 1.19 .0045 1 0.91 1.19 .0046 1 0.91 1.15 .0047 2 0.91 1.15 .0048 4 0.91 1.16 .0049 2 0.91 1.18 .0050 1 0.91 1.17 .0051 2 0.91 1.11 .0052 2 0.91 1.13 .0053 2 0.91 1.25 .0054 4 0.91 1.17 .0055 2 0.91 1.20 .0056 1 0.91 1.10 .0057 1 0.91 1.24 .0058 2 0.91 1.15 .0059 3 0.91 1.21 .0060 1 0.91 1.17 .0061 1 0.91 1.18 .0062 1 0.91 1.17 .0063 2 0.91 1.31 .0064 2 0.91 1.33 .0065 1 0.91 1.23 .0066 1 0.91 1.22 .0067 1 0.91 1.28 .0068 1 0.91 1.32 .0069 1 0.91 1.23 .0070 1 0.91 1.33 .0071 3 0.91 1.29 .0072 1 0.91 1.34 .0073 4 0.91 1.24 .0074 3 0.91 1.25 .0075 1 0.91 1.43 .0076 1 0.91 1.39 .0077 1 0.91 1.36 .0078 1 0.91 1.34 .0079 1 0.91 1.32 .0080 6 0.91 1.40 .0081 3 0.91 1.37 .0082 3 0.91 1.36 .0083 1 0.91 1.30 .0084 1 0.91 1.39 .0085 1 0.91 1.41 .0086 2 0.91 1.44 .0087 1 0.91 1.38 .0088 1 0.91 1.46 .0089 4 0.91 1.39 .0090 3 0.91 1.42 .0091 1 0.91 1.44 .0092 1 0.91 1.43 .0093 1 0.91 1.48 .0094 1 0.91 1.46 .0095 1 0.91 1.42 .0096 2 0.91 1.42 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0.91 1.44 .0153 2 0.91 1.57 .0154 3 0.91 1.52 .0155 2 0.91 1.45 .0156 2 0.91 1.48 .0157 2 0.91 1.50 .0158 2 0.91 1.50 .0159 1 0.91 1.43 .0160 1 0.91 1.42 .0161 3 0.91 1.40 .0162 1 0.91 1.59 .0163 2 0.91 1.45 .0164 4 0.91 1.44 .0165 2 0.91 1.43 .0166 1 0.91 1.32 .0167 2 0.91 1.45 .0168 2 0.92 1.38 .0169 3 0.92 1.42 .0170 3 0.92 1.48 .0171 1 0.92 1.42 .0172 3 0.92 1.40 .0173 3 0.92 1.52 .0174 3 0.92 1.42 .0175 1 0.92 1.46 .0176 3 0.92 1.48 .0177 3 0.92 1.56 .0178 1 0.92 1.54 .0179 1 0.92 1.39 .0180 1 0.92 1.44 .0181 2 0.92 1.46 .0182 1 0.92 1.43 .0183 3 0.92 1.44 .0184 2 0.92 1.56 .0185 3 0.92 1.49 .0186 2 0.92 1.52 .0187 1 0.92 1.45 .0188 1 0.92 1.45 .0189 2 0.92 1.44 .0190 2 0.92 1.50 .0191 2 0.92 1.52 .0192 3 0.92 1.37 .0193 2 0.92 1.55 .0194 1 0.92 1.48 .0195 1 0.92 1.48 .0196 1 0.92 1.54 .0197 2 0.92 1.44 .0198 2 0.92 1.43 .0199 1 0.92 1.44 .0200 1 0.92 1.48 .0201 1 0.92 1.49 .0202 1 0.92 1.44 .0203 3 0.92 1.47 .0204 2 0.92 1.60 .0205 1 0.92 1.54 .0206 1 0.92 1.50 .0207 3 0.92 1.47 .0208 5 0.92 1.50 .0209 1 0.92 1.60 .0210 3 0.92 1.58 .0211 3 0.92 1.50 .0212 1 0.92 1.47 .0213 4 0.92 1.35 .0214 5 0.92 1.46 .0215 3 0.92 1.47 .0216 2 0.92 1.46 .0217 1 0.92 1.49 .0218 2 0.92 1.41 .0219 1 0.92 1.47 .0220 1 0.92 1.40 .0221 2 0.92 1.48 .0222 5 0.92 1.37 .0223 4 0.92 1.44 .0224 2 0.92 1.46 .0225 1 0.92 1.49 .0226 2 0.92 1.50 .0227 1 0.92 1.48 .0228 1 0.92 1.46 .0229 1 0.92 1.51 .0230 1 0.92 1.45 .0231 1 0.92 1.61 .0232 1 0.92 1.57 .0233 3 0.92 1.48 .0234 3 0.92 1.52 .0235 3 0.92 1.43 .0236 2 0.92 1.51 .0237 3 0.92 1.60 .0238 1 0.92 1.68 .0239 2 0.92 1.54 .0240 4 0.92 1.48 .0241 1 0.92 1.55 .0242 1 0.92 1.49 .0243 3 0.92 1.58 .0244 2 0.92 1.54 .0245 2 0.92 1.53 .0246 1 0.92 1.57 .0247 1 0.92 1.49 .0248 1 0.92 1.58 .0249 2 0.92 1.55 .0250 1 0.92 1.56 .0251 3 0.92 1.53 .0252 4 0.92 1.55 .0253 3 0.92 1.72 .0254 3 0.92 1.66 .0255 1 0.92 1.52 .0256 2 0.92 1.53 .0257 1 0.92 1.59 .0258 1 0.92 1.61 .0259 1 0.92 1.55 .0260 1 0.92 1.54 .0261 1 0.92 1.58 .0262 3 0.92 1.60 .0263 1 0.92 1.60 .0264 1 0.92 1.66 .0265 3 0.92 1.64 .0266 3 0.92 1.65 .0267 1 0.92 1.56 .0268 3 0.92 1.64 .0269 2 0.92 1.68 .0270 2 0.92 1.60 .0271 3 0.92 1.65 .0272 3 0.92 1.61 .0273 2 0.92 1.64 .0274 2 0.92 1.59 .0275 2 0.92 1.55 .0276 2 0.92 1.70 .0277 2 0.92 1.59 .0278 1 0.92 1.72 .0279 1 0.92 1.68 .0280 1 0.92 1.70 .0281 1 0.92 1.68 .0282 1 0.92 1.65 .0283 1 0.92 1.70 .0284 1 0.92 1.61 .0285 3 0.92 1.71 .0286 1 0.92 1.69 .0287 4 0.92 1.67 .0288 3 0.92 1.75 .0289 2 0.92 1.63 .0290 4 0.92 1.64 .0291 1 0.92 1.64 .0292 1 0.92 1.67 .0293 1 0.92 1.64 .0294 3 0.92 1.64 .0295 2 0.92 1.68 .0296 3 0.92 1.75 .0297 1 0.92 1.76 .0298 1 0.92 1.74 .0299 1 0.92 1.75 .0300 1 0.92 1.74 .0301 1 0.92 1.74 .0302 3 0.92 1.70 .0303 1 0.92 1.77 .0304 2 0.92 1.74 .0305 3 0.92 1.74 .0306 2 0.92 1.70 .0307 4 0.92 1.77 .0308 3 0.92 1.73 .0309 1 0.92 1.72 .0310 2 0.92 1.79 .0311 3 0.92 1.81 .0312 3 0.92 1.82 .0313 3 0.92 1.88 .0314 4 0.92 1.83 .0315 2 0.92 1.77 .0316 3 0.92 1.76 .0317 1 0.92 1.73 .0318 2 0.92 1.73 .0319 2 0.92 1.76 .0320 2 0.92 1.70 .0321 1 0.92 1.73 .0322 3 0.92 1.72 .0323 2 0.92 1.75 .0324 2 0.92 1.81 .0325 1 0.92 1.86 .0326 2 0.92 1.88 .0327 4 0.92 1.75 .0328 2 0.92 1.72 .0329 1 0.92 1.78 .0330 3 0.92 1.83 .0331 3 0.92 1.73 .0332 1 0.92 1.70 .0333 1 0.92 1.73 .0334 1 0.92 1.68 .0335 2 0.92 1.80 .0336 3 0.92 1.73 .0337 4 0.92 1.66 .0338 2 0.92 1.84 .0339 1 0.92 1.78 .0340 1 0.92 1.74 .0341 1 0.92 1.78 .0342 2 0.92 1.75 .0343 1 0.92 1.70 .0344 2 0.92 1.78 .0345 1 0.92 1.76 .0346 1 0.92 1.89 .0347 1 0.92 1.73 .0348 1 0.92 1.73 .0349 1 0.92 1.81 .0350 1 0.92 1.85 .0351 1 0.92 1.78 .0352 2 0.92 1.78 .0353 1 0.92 1.72 .0354 3 0.92 1.79 .0355 1 0.92 1.82 .0356 2 0.92 1.79 .0357 2 0.92 1.80 .0358 1 0.92 1.79 .0359 1 0.92 1.78 .0360 1 0.92 1.79 .0361 1 0.92 1.82 .0362 1 0.92 1.80 .0363 2 0.92 1.89 .0364 1 0.92 1.90 .0365 1 0.92 1.79 .0366 1 0.92 1.80 .0367 2 0.92 1.73 .0368 3 0.92 1.77 .0369 1 0.92 1.76 .0370 5 0.92 1.77 .0371 3 0.92 1.86 .0372 1 0.92 1.74 .0373 1 0.92 1.84 .0374 1 0.92 1.75 .0375 2 0.92 1.76 .0376 1 0.92 1.90 .0377 1 0.92 1.83 .0378 3 0.92 1.79 .0379 3 0.92 1.86 .0380 4 0.92 1.79 .0381 1 0.92 1.84 .0382 2 0.92 1.81 .0383 2 0.92 1.79 .0384 1 0.92 1.75 .0385 2 0.92 1.85 .0386 2 0.92 1.74 .0387 1 0.92 1.71 .0388 1 0.92 1.80 .0389 4 0.92 1.79 .0390 1 0.92 1.70 .0391 2 0.92 1.80 .0392 1 0.92 1.74 .0393 3 0.92 1.79 .0394 1 0.92 1.80 .0395 1 0.92 1.80 .0396 1 0.92 1.88 .0397 1 0.92 1.67 .0398 1 0.92 1.76 .0399 1 0.92 1.79 .0400 1 0.92 1.75 .0401 1 0.92 1.90 .0402 4 0.92 1.77 .0403 1 0.92 1.92 .0404 1 0.92 1.74 .0405 3 0.92 1.76 .0406 3 0.93 1.80 .0407 1 0.93 1.80 .0408 2 0.93 1.86 .0409 2 0.93 1.74 .0410 2 0.93 1.81 .0411 2 0.93 1.80 .0412 1 0.93 1.74 .0413 1 0.93 1.69 .0414 2 0.93 1.80 .0415 1 0.93 1.73 .0416 1 0.93 1.85 .0417 1 0.93 1.77 .0418 1 0.93 1.89 .0419 1 0.93 1.77 .0420 1 0.93 1.82 .0421 1 0.93 1.66 .0422 1 0.93 1.84 .0423 3 0.93 1.79 .0424 3 0.93 1.80 .0425 1 0.93 1.73 .0426 3 0.93 1.83 .0427 2 0.93 1.81 .0428 6 0.93 1.76 .0429 2 0.93 1.75 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0.91 1.63 .1818 3 0.91 1.93 .1819 3 0.91 1.73 .1820 3 0.91 1.72 .1821 2 0.91 1.70 .1822 2 0.91 1.81 .1823 1 0.91 1.77 .1824 1 0.91 1.68 .1825 2 0.91 1.72 .1826 2 0.91 1.74 .1827 3 0.91 1.77 .1828 3 0.91 1.58 .1829 3 0.91 1.72 .1830 3 0.91 1.60 .1831 2 0.91 1.63 .1832 1 0.91 1.75 .1833 1 0.91 1.62 .1834 2 0.91 1.73 .1835 2 0.91 1.71 .1836 2 0.91 1.84 .1837 3 0.91 1.62 .1838 1 0.91 1.76 .1839 2 0.91 1.73 .1840 1 0.91 1.68 .1841 2 0.91 1.77 .1842 1 0.91 1.79 .1843 3 0.91 1.75 .1844 1 0.91 1.73 .1845 3 0.91 1.65 .1846 1 0.91 1.69 .1847 1 0.91 1.78 .1848 2 0.91 1.68 .1849 3 0.91 1.77 .1850 1 0.91 1.68 .1851 1 0.91 1.70 .1852 1 0.91 1.73 .1853 1 0.91 1.68 .1854 1 0.91 1.65 .1855 1 0.91 1.75 .1856 1 0.91 1.67 .1857 3 0.91 1.73 .1858 3 0.91 1.73 .1859 1 0.91 1.63 .1860 1 0.91 1.63 .1861 1 0.91 1.73 .1862 2 0.91 1.73 .1863 2 0.91 1.67 .1864 1 0.91 1.80 .1865 3 0.91 1.67 .1866 1 0.91 1.76 .1867 3 0.92 1.71 .1868 3 0.92 1.65 .1869 1 0.92 1.65 .1870 1 0.92 1.74 .1871 2 0.92 1.68 .1872 3 0.92 1.66 .1873 1 0.92 1.59 .1874 3 0.92 1.59 .1875 5 0.92 1.65 .1876 1 0.92 1.66 .1877 1 0.92 1.61 .1878 2 0.92 1.70 .1879 6 0.92 1.61 .1880 5 0.92 1.63 .1881 4 0.92 1.61 .1882 1 0.92 1.58 .1883 1 0.92 1.54 .1884 3 0.92 1.50 .1885 1 0.92 1.44 .1886 3 0.92 1.38 .1887 3 0.92 1.47 .1888 2 0.92 1.39 .1889 2 0.92 1.40 .1890 3 0.92 1.44 .1891 3 0.92 1.55 .1892 3 0.92 1.32 .1893 3 0.92 1.46 .1894 2 0.92 1.51 .1895 2 0.92 1.48 .1896 1 0.92 1.50 .1897 4 0.92 1.41 .1898 3 0.92 1.44 .1899 4 0.92 1.57 .1900 4 0.92 1.64 .1901 2 0.92 1.48 .1902 2 0.92 1.52 .1903 3 0.92 1.50 .1904 2 0.92 1.49 .1905 1 0.92 1.44 .1906 4 0.92 1.51 .1907 2 0.92 1.44 .1908 1 0.92 1.48 .1909 3 0.92 1.50 .1910 4 0.92 1.62 .1911 2 0.92 1.52 .1912 3 0.92 1.52 .1913 2 0.92 1.65 .1914 1 0.92 1.64 .1915 1 0.92 1.56 .1916 1 0.92 1.59 .1917 1 0.92 1.51 .1918 1 0.92 1.53 .1919 2 0.92 1.50 .1920 3 0.92 1.46 .1921 3 0.92 1.45 .1922 1 0.92 1.43 .1923 3 0.92 1.53 .1924 1 0.92 1.36 .1925 2 0.92 1.46 .1926 2 0.92 1.51 .1927 3 0.92 1.42 .1928 2 0.92 1.44 .1929 3 0.92 1.43 .1930 1 0.92 1.54 .1931 1 0.92 1.62 .1932 3 0.92 1.58 .1933 2 0.92 1.56 .1934 2 0.92 1.57 .1935 2 0.92 1.56 .1936 3 0.92 1.56 .1937 4 0.92 1.53 .1938 2 0.92 1.63 .1939 2 0.92 1.52 .1940 2 0.92 1.59 .1941 2 0.92 1.60 .1942 3 0.92 1.58 .1943 1 0.92 1.54 .1944 3 0.92 1.56 .1945 3 0.92 1.63 .1946 2 0.92 1.62 .1947 1 0.92 1.53 .1948 1 0.92 1.57 .1949 1 0.92 1.62 .1950 1 0.92 1.60 .1951 1 0.92 1.48 .1952 1 0.92 1.56 .1953 1 0.92 1.65 .1954 2 0.92 1.57 .1955 1 0.92 1.60 .1956 1 0.92 1.61 .1957 2 0.92 1.58 .1958 4 0.92 1.50 .1959 4 0.92 1.54 .1960 4 0.92 1.64 .1961 3 0.92 1.49 .1962 2 0.92 1.58 .1963 3 0.92 1.50 .1964 2 0.92 1.55 .1965 1 0.92 1.49 .1966 1 0.92 1.48 .1967 1 0.93 1.35 .1968 3 0.93 1.44 .1969 3 0.93 1.42 .1970 2 0.93 1.38 .1971 1 0.93 1.37 .1972 1 0.93 1.44 .1973 1 0.93 1.35 .1974 1 0.93 1.44 .1975 1 0.93 1.44 .1976 1 0.93 1.41 .1977 1 0.93 1.43 .1978 2 0.93 1.34 .1979 2 0.93 1.44 .1980 1 0.93 1.44 .1981 1 0.93 1.41 .1982 1 0.93 1.38 .1983 1 0.93 1.40 .1984 3 0.93 1.50 .1985 4 0.93 1.55 .1986 1 0.93 1.45 .1987 3 0.93 1.55 .1988 3 0.93 1.48 .1989 1 0.93 1.41 .1990 1 0.93 1.55 .1991 1 0.93 1.49 .1992 1 0.93 1.50 .1993 3 0.93 1.47 .1994 3 0.93 1.53 .1995 2 0.93 1.39 .1996 3 0.93 1.57 .1997 2 0.93 1.60 .1998 1 0.93 1.55 .1999 3 0.93 1.54 .2000 3 0.93 1.53 .2001 1 0.93 1.48 .2002 3 0.93 1.65 .2003 3 0.93 1.50 .2004 2 0.93 1.58 .2005 4 0.93 1.65 .2006 2 0.93 1.56 .2007 1 0.93 1.55 .2008 1 0.93 1.44 .2009 1 0.93 1.58 .2010 3 0.93 1.60 .2011 3 0.93 1.47 .2012 3 0.93 1.56 .2013 3 0.93 1.49 .2014 3 0.93 1.50 .2015 1 0.93 1.49 .2016 2 0.93 1.54 .2017 4 0.93 1.54 .2018 3 0.93 1.48 .2019 1 0.93 1.39 .2020 3 0.93 1.50 .2021 4 0.93 1.43 .2022 3 0.93 1.41 .2023 2 0.93 1.39 .2024 1 0.93 1.45 .2025 2 0.93 1.38 .2026 1 0.93 1.34 .2027 1 0.93 1.32 .2028 1 0.93 1.36 .2029 1 0.93 1.33 .2030 1 0.93 1.37 .2031 1 0.93 1.39 .2032 2 0.93 1.49 .2033 3 0.93 1.37 .2034 2 0.93 1.36 .2035 3 0.93 1.37 .2036 3 0.93 1.32 .2037 1 0.93 1.43 .2038 1 0.93 1.40 .2039 1 0.93 1.37 .2040 2 0.94 1.34 .2041 1 0.94 1.38 .2042 2 0.94 1.43 .2043 1 0.94 1.38 .2044 1 0.94 1.31 .2045 1 0.94 1.44 .2046 1 0.94 1.42 .2047 2 0.94 1.49 EXTRACT_IMAGE: sdR-b2-00034752.fit: masked 2286 pixels DIVIDEFLAT: sdR-b2-00034752.fit: Warning: Reject 321 low points in trace 200 DIVIDEFLAT: sdR-b2-00034752.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034752.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034752.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034752.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034752.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034752.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034752.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034752.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034752.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034752.fit: WARNING: sky shift reference line, sigma 5577.3390 0.060178460 LOCATESKYLINES_2: sdR-b2-00034752.fit: sky shift reference line, offset: 5577.3390 0.090610585 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 0 0.72937106 57.833085 -0.83963092 1.0507060 28.262926 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 6 1.2848976 60.533748 -1.0000000 1.6878397 30.360791 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 13 0.29886405 60.388014 -0.60980345 1.5009612 34.977928 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 18 1.5227238 64.600412 -0.021137066 0.60000000 45.095737 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 26 0.85525491 73.473300 -0.011463585 0.60000000 24.981057 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 52 1.8927212 76.553620 -0.28630279 0.75050006 23.333987 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 60 1.5909617 75.272964 -0.78935924 1.5364306 24.371260 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 63 1.5266138 64.056580 -0.96862292 1.5261825 23.172896 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 82 2.2593283 49.717888 -0.22282446 0.60000000 43.447150 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 84 1.3077806 60.214430 0.13002379 0.62921847 41.565673 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 109 1.3178774 65.626264 -0.57333725 1.2576383 32.857740 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 114 1.2938455 68.822115 -0.58658446 0.73216652 40.945392 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 131 2.1677461 59.150684 -0.56226338 1.5132980 33.060585 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 153 0.78946197 53.295081 -0.33266760 0.60000000 29.498687 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 176 0.93187981 74.790835 -0.88464186 0.60000000 16.390321 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 180 1.3417703 68.432683 -0.076321490 1.0730131 0.0000000 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 184 0.52714187 65.403612 0.43076903 0.67118207 204.81581 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 185 1.1316313 66.411766 -0.85422237 1.3727650 44.106525 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 186 1.3210279 61.023568 -1.0000000 1.4642322 36.811249 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 201 1.4089052 35.080105 -1.0000000 1.9656890 61.257359 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 204 1.6072964 62.174731 0.055762831 0.60000000 34.199447 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 206 3.2312069 61.078560 0.34218814 0.60000000 25.928409 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 213 2.2778042 55.319493 0.0047904776 0.60000000 35.056938 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 235 1.9217978 35.866605 -0.42661628 2.0000000 46.993716 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 257 1.2298835 67.622860 -1.0000000 0.95246463 9.5287888 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 259 0.39851564 71.274977 -0.15725893 0.60000000 55.006599 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 260 0.72332375 59.870462 -0.71700423 0.66404907 41.378841 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 261 0.63542438 52.914199 -1.0000000 1.3241099 38.526691 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 265 1.3769077 57.370600 -1.0000000 0.60000000 42.459396 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 271 1.2711913 57.043746 -0.53090242 0.62961113 51.492268 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 276 1.1311921 49.799691 -0.19798652 0.60000000 59.668527 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 281 0.91246465 64.285790 -0.40095738 0.60000000 22.748056 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 284 2.1530347 70.302430 -0.10155319 0.72169048 54.304061 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 307 2.7112773 83.021344 0.069994627 1.1059621 0.0000000 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 0 308 0.48205783 65.914021 -0.53099424 0.66888473 55.138345 LOCATESKYLINES_2: sdR-b2-00034752.fit: trimmed 2high points: 0.0000000 0.0000000 LOCATESKYLINES_2: sdR-b2-00034752.fit: comb1 l,chi^2/dof,fit: 0 0.51270707 0.011181340 0.14737543 0.80000000 0.81734969 LOCATESKYLINES_2: sdR-b2-00034752.fit: kept 135 of 135 points LOCATESKYLINES_2: sdR-b2-00034752.fit: offset, refoff, sigma: 0.2379860.1473750.072372 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 0 0.97665283 97.816895 0.18155423 0.85625081 163.13672 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 6 0.80341150 106.07199 0.13582979 1.0708362 148.34239 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 13 1.6968261 96.658547 0.12881404 1.0595638 156.88869 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 18 1.1348045 101.02731 0.012702465 1.0570402 134.28744 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 26 1.2304335 89.179994 0.012011325 1.2591122 153.51375 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 52 2.2579517 118.61001 -0.17609038 0.60000000 151.30290 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 60 0.63580601 101.17260 0.0015248718 1.0828059 146.08782 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 63 0.32084297 104.10540 0.25684947 0.87514863 114.39520 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 82 0.68153732 98.220572 0.24026091 1.1956071 108.26882 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 84 0.77069791 95.038907 0.022933721 0.95229064 145.04874 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 109 1.2973561 101.02556 0.32156496 0.87421146 160.12130 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 114 0.39185056 116.89130 0.24559411 0.80737878 131.64611 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 131 0.72352562 82.949452 0.096188542 1.1250371 160.45412 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 153 0.37342243 102.93508 0.29835833 1.0154052 108.57217 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 176 1.1925675 100.05755 -0.17785809 1.0663354 138.52148 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 180 2.1354738 107.40003 -0.36909001 1.0868710 113.61800 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 184 2.7980924 92.738230 0.20508707 1.1430972 167.50264 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 185 2.0406137 92.098064 0.26148518 1.3003449 141.07581 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 186 0.40087670 106.10457 0.095140930 1.1645758 119.49495 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 201 0.62577950 103.10874 -0.16390254 0.89467125 144.04433 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 204 1.8096513 98.106792 0.31411489 1.0087183 135.01935 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 206 1.4092363 94.327906 0.065081400 1.1470455 159.78711 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 213 1.8031173 100.26421 0.051027248 1.0991289 135.58022 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 235 0.43010252 114.16718 0.035760334 0.97797491 152.80249 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 257 1.6405452 84.297552 -0.13080308 1.5225106 123.89075 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 259 1.9657226 116.50496 0.088025820 0.95258447 141.39762 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 260 0.86910781 107.51426 -0.015240545 1.3396446 123.47511 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 261 0.50404437 82.358851 0.059137829 1.3466029 162.23846 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 265 1.6327731 43.938986 -0.18859557 2.0000000 182.79245 LOCATESKYLINES_2: sdR-b2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 271 0.93205984 102.27876 0.17308052 1.2089045 110.26673 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 276 1.9582783 92.464025 0.25944474 1.0144870 142.77908 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 281 1.0110763 96.398520 0.24441361 1.0701372 119.10750 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 284 1.0731959 117.14211 -0.013431763 0.71796740 135.49098 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 307 0.74825294 110.46077 0.057888205 1.2910631 112.96073 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 1 308 1.3794983 117.58546 0.10634449 1.2239927 99.304841 LOCATESKYLINES_2: sdR-b2-00034752.fit: comb1 l,chi^2/dof,fit: 1 0.97038129 0.0051807838 0.095058249 1.0805309 0.97249068 LOCATESKYLINES_2: sdR-b2-00034752.fit: kept 297 of 297 points LOCATESKYLINES_2: sdR-b2-00034752.fit: offset, refoff, sigma: 0.1856690.0950580.024789 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 0 1.2767772 166.11251 0.30230507 1.0068979 260.22222 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 6 1.5417780 167.65376 0.22831142 1.0521166 280.81357 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 13 0.63335024 170.17585 0.038350839 1.1024916 246.08812 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 18 0.57966807 183.01178 0.30957575 1.1556908 235.44394 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 26 0.92245855 175.33847 0.077718162 1.1437423 251.44097 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 52 0.85461552 172.03699 0.12079454 1.1392744 214.69057 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 60 1.3133828 189.62911 0.31990691 0.85081537 284.89465 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 63 0.64151384 172.55238 0.16839197 1.0663258 278.69529 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 82 1.4373246 168.37415 0.24397931 1.0253403 276.87895 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 84 0.30679463 168.82469 0.32366993 1.1713704 208.43275 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 109 0.77035026 162.73513 0.053575037 1.0788723 275.06056 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 114 1.3397005 160.45513 0.26634012 1.0520092 304.09454 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 131 0.48274536 183.71068 0.19271806 0.95239486 227.45091 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 153 2.0185531 147.62281 0.20822333 1.2687493 275.88964 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 176 1.2825334 171.31343 0.16102720 1.1895272 238.23873 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 180 0.57827191 169.19716 0.13437776 1.2048253 251.63754 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 184 2.8799484 171.90070 0.14175027 1.2363118 250.35889 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 185 0.40287683 168.88398 0.25859992 1.0521566 295.19712 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 186 0.58637623 188.84010 0.34625047 0.97447743 275.57873 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 201 0.41816298 167.58385 0.28182352 1.1172026 241.54604 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 204 0.77052226 183.29071 0.23530390 1.0664985 247.34305 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 206 2.4046348 167.25380 0.34244654 1.0305195 261.84091 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 213 0.84850282 151.58883 0.21880165 1.3194741 272.05730 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 235 0.62541640 173.64102 0.39389422 1.1205028 231.60796 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 257 3.3068025 145.98929 0.20820463 1.2902662 258.29689 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 259 1.5734459 189.36067 0.18429866 1.0777653 264.89262 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 260 1.7999090 194.72547 0.069163931 0.98772632 266.65321 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 261 0.44160517 195.31917 0.26328858 1.0352105 246.21993 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 265 3.0296992 160.39984 0.0041474200 0.94467805 291.10708 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 271 0.30594629 178.04251 0.15755352 0.92326942 285.64879 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 276 1.5650639 156.81395 0.15098452 1.2995332 248.52679 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 281 1.9002248 171.97895 -0.025830617 1.0105167 256.18450 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 284 0.97697390 168.29918 0.081436411 1.1226366 221.33811 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 307 1.3494010 180.51353 0.25102808 1.1158247 296.92638 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 2 308 1.9069580 167.77490 0.27231919 1.0766897 266.25471 LOCATESKYLINES_2: sdR-b2-00034752.fit: comb1 l,chi^2/dof,fit: 2 1.1026783 0.0033815909 0.20149527 1.0865857 0.98868147 LOCATESKYLINES_2: sdR-b2-00034752.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034752.fit: offset, refoff, sigma: 0.2921060.2014950.015580 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 0 2.2796098 167.45925 0.15618035 0.92060895 1173.9939 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 6 4.7553961 151.54448 0.18063755 0.91991490 1202.2745 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 13 2.8220290 170.30398 0.16079292 0.87005606 1237.4139 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 18 2.2471506 161.91712 0.17590299 0.91926571 1195.3127 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 26 0.26054620 182.06868 0.13030180 0.93597274 1219.5491 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 52 1.2443163 154.23355 0.17455737 0.96375687 1164.7685 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 60 2.0755364 169.29518 0.20253963 0.92441077 1238.0979 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 63 0.93182718 182.15817 0.18387105 0.90458252 1237.5769 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 82 1.7666775 158.55324 0.20197389 0.92815264 1192.4730 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 84 1.4934731 147.58502 0.15346648 0.92195826 1168.1569 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 109 1.0077055 169.41858 0.19052402 0.94139568 1219.4027 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 114 2.0676463 153.83799 0.17330709 0.94237526 1239.2111 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 131 1.0809312 155.63777 0.19982913 0.92775825 1196.1227 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 153 2.6078336 153.52806 0.20757662 0.98229547 1192.3231 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 176 0.57378907 157.53803 0.11299509 0.97376902 1146.8473 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 180 4.0625550 157.02021 0.18719404 0.91398192 1245.7084 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 184 1.0227308 167.05164 0.18814541 0.94662974 1157.2724 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 185 3.1581440 160.68670 0.17117488 0.93007604 1196.4677 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 186 2.0727016 138.90591 0.21640730 0.97266175 1206.8775 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 201 1.6801758 139.66747 0.18302988 0.96231572 1164.2958 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 204 4.8953346 155.59185 0.18453416 0.90515538 1253.9278 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 206 4.2504538 161.40401 0.19363598 0.89708936 1193.4958 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 213 3.0519761 171.16776 0.15830140 0.88906791 1173.5319 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 235 1.4035648 164.89684 0.13965776 0.91552850 1164.6068 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 257 4.9395870 154.81254 0.13757782 0.91209586 1202.2211 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 259 3.3703127 158.07448 0.15396110 0.93419599 1251.7804 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 260 3.6278792 137.68005 0.16625642 0.93159771 1279.2378 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 261 1.2752620 171.40103 0.18354539 0.93841447 1157.4213 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 265 1.9584933 152.64603 0.14612417 0.96025817 1198.0153 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 271 2.3820738 160.01225 0.13931455 0.92319640 1217.1816 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 276 1.0130090 165.75331 0.14163670 0.94885009 1217.6389 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 281 1.8486934 170.73739 0.13432308 0.90646180 1219.1979 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 284 1.5423173 149.90888 0.14503475 0.93833603 1121.3727 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 307 1.9386999 159.18577 0.20145183 0.93850967 1245.3092 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 3 308 3.2287519 182.15737 0.14123045 0.90140105 1196.2280 LOCATESKYLINES_2: sdR-b2-00034752.fit: comb1 l,chi^2/dof,fit: 3 1.6065521 0.00016068948 0.16950425 0.92960086 0.99913112 LOCATESKYLINES_2: sdR-b2-00034752.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034752.fit: offset, refoff, sigma: 0.2601150.1695040.004348 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 0 25.010064 143.37712 0.26079933 0.88439116 356.74489 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 6 11.300296 156.69707 0.11556854 0.74841599 387.95601 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 13 17.190551 157.40394 0.22678795 0.91690945 315.53526 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 18 6.2097522 122.79457 0.17086526 0.93632690 417.38674 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 26 30.327054 170.42954 0.19797182 0.78054413 371.71186 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 52 13.249731 147.16935 0.22541493 0.92712656 389.22595 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 60 20.914298 216.57056 0.13627736 0.70459462 359.40387 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 63 23.222125 182.82969 0.17500268 0.73591482 356.15632 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 82 23.151847 175.97653 0.16345477 0.78680857 320.22376 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 84 15.807479 181.02566 0.32733997 0.70958425 384.55097 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 109 20.542529 164.27792 0.34911904 0.83405042 358.64866 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 114 20.079631 169.16265 0.24510240 0.76389777 419.78909 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 131 17.631890 157.43666 0.27537160 0.84703333 381.90714 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 153 16.380609 163.03677 0.20827909 0.88288926 361.97461 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 176 23.739243 152.80335 0.11510671 0.84779187 373.04831 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 180 18.728847 153.59454 0.30718967 0.86865402 388.69786 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 184 16.537069 166.79604 0.27466107 0.86065755 335.54406 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 185 17.452679 152.23922 0.30262256 0.88399466 378.24064 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 186 19.494083 154.63429 0.26125914 0.90562914 350.12028 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 201 20.955800 176.96935 0.36003969 0.77688800 377.39452 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 204 21.950586 182.97248 0.13754803 0.68767440 364.51474 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 206 19.334335 184.61198 0.32591721 0.66704396 364.53650 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 213 10.760538 155.88355 0.23052291 0.85658966 406.61204 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 235 16.094494 197.93166 0.26948657 0.73195874 324.06283 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 257 11.953387 153.60150 0.24589122 0.87238112 381.92978 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 259 13.933116 164.98991 0.28256199 0.87133068 365.80264 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 260 17.651912 158.33258 0.27658203 0.81083922 431.24443 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 261 15.648523 182.47450 0.21121992 0.78524838 398.37909 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 265 25.440798 162.31555 0.12772710 0.77288273 381.33733 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 271 12.672171 146.15754 0.24351538 0.88278792 308.30354 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 276 17.225184 147.19138 0.16191555 0.84926634 343.86711 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 281 9.8404042 150.38022 0.13469035 0.83292894 401.59736 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 284 16.374938 145.88116 0.20215957 0.84863935 364.32781 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 307 14.958053 182.75383 0.15563909 0.79703586 319.16987 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 4 308 6.4918557 165.98597 0.24027790 0.87436534 323.60002 LOCATESKYLINES_2: sdR-b2-00034752.fit: comb1 l,chi^2/dof,fit: 4 10.236425 0.00061173186 0.23021175 0.82817568 0.98871574 LOCATESKYLINES_2: sdR-b2-00034752.fit: sigma-clipped to 275 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034752.fit: comb2 l,chi^2/dof,fit: 4 1.8864910 -0.078097464 0.23372394 0.91961838 1.0467543 LOCATESKYLINES_2: sdR-b2-00034752.fit: kept 275 of 315 points LOCATESKYLINES_2: sdR-b2-00034752.fit: offset, refoff, sigma: 0.3243350.2337240.009664 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 0 12.072017 138.31321 0.16579430 0.65760899 320.86558 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 6 30.344068 151.50028 0.31313009 0.84402745 248.22891 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 13 12.749013 151.51381 0.21968185 0.69369437 254.43828 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 18 28.338864 162.90410 -0.070645565 0.67913933 226.73004 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 26 42.226853 154.16376 0.14565816 0.78295685 291.13288 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 52 31.140722 154.98484 0.14609679 0.80306779 241.94738 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 60 34.321778 188.38443 0.24695330 0.75305801 231.44308 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 63 6.0386402 138.25460 0.29623468 0.85434195 272.90613 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 82 31.828584 173.87571 0.094436271 0.75145224 255.37130 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 84 7.1402630 131.25439 0.25697736 1.0347842 235.27183 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 109 34.915390 169.01642 0.16059152 0.79890830 176.76374 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 114 11.322053 136.06539 0.13428173 0.73662157 300.80095 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 131 14.420713 143.52343 0.28481392 0.85724383 208.64724 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 153 32.948084 164.51760 0.28055993 0.78028641 247.49222 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 176 32.633765 158.80073 0.22600947 0.87091778 255.76297 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 180 25.494125 153.58924 0.20694283 0.76148420 258.93518 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 184 17.177481 156.41479 0.31774085 0.64026086 255.48023 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 185 16.048448 155.91508 0.18793890 0.75922243 240.21901 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 186 17.737524 149.85049 0.25399361 0.83406569 216.64589 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 201 31.995995 166.46560 0.23704438 0.81714225 193.64493 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 204 39.245852 155.43107 0.29582698 0.81651518 216.45025 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 206 24.395416 153.28795 0.18352421 0.80488007 226.17941 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 213 33.820453 155.43254 0.21930829 0.83097472 235.01262 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 235 27.684613 160.76455 0.27043573 0.75212448 217.51912 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 257 26.095383 154.32123 0.19712242 0.75924195 246.18339 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 259 19.871859 162.65470 0.11961878 0.76928810 285.72311 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 260 13.049797 145.51468 0.28450758 0.81071415 259.24930 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 261 15.071596 148.15698 0.14835390 0.79017336 294.09113 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 265 50.343843 153.50405 0.040342987 0.74721296 241.20702 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 271 17.510668 149.29854 0.12757483 0.77977466 236.16984 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 276 18.892218 136.38027 0.21374747 0.72757545 299.41248 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 281 31.350753 155.36680 0.32966053 0.72055160 246.87411 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 284 17.291679 154.14185 0.26247857 0.73714674 238.14097 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 307 26.368570 163.22386 0.070468943 0.64280611 226.17225 LOCATESKYLINES_2: sdR-b2-00034752.fit: l,f,chi^2/dof,c: 5 308 24.055521 156.95297 0.17082733 0.82221983 228.35179 LOCATESKYLINES_2: sdR-b2-00034752.fit: comb1 l,chi^2/dof,fit: 5 14.063586 -0.0034708152 0.19505970 0.80000000 0.97547731 LOCATESKYLINES_2: sdR-b2-00034752.fit: sigma-clipped to 278 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034752.fit: comb2 l,chi^2/dof,fit: 5 1.7453201 -0.11587290 0.19574567 0.89356112 1.0795976 LOCATESKYLINES_2: sdR-b2-00034752.fit: kept 278 of 315 points LOCATESKYLINES_2: sdR-b2-00034752.fit: offset, refoff, sigma: 0.2863560.1957460.012644 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 10522.931 DOF = 1862 P(0) = 31.9191 P(1) = 0.00000 P(2) = 31.9191 P(3) = 31.9191 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 2684.3105 DOF = 1862 P(0) = 60.2220 P(1) = -4.50491E-05 P(2) = 58.4764 P(3) = 38.2618 P(4) = 0.000130000 P(5) = -0.0435812 Iter 3 CHI-SQUARE = 2683.4376 DOF = 1862 P(0) = 60.2492 P(1) = -4.28035E-05 P(2) = 60.9137 P(3) = 37.7847 P(4) = 0.000130000 P(5) = -0.0551463 Iter 4 CHI-SQUARE = 2683.1416 DOF = 1862 P(0) = 60.2164 P(1) = -4.25946E-05 P(2) = 60.8811 P(3) = 37.8185 P(4) = 0.000130000 P(5) = -0.0414062 Iter 5 CHI-SQUARE = 2683.1244 DOF = 1862 P(0) = 60.2501 P(1) = -4.27523E-05 P(2) = 60.9269 P(3) = 37.8113 P(4) = 0.000130000 P(5) = -0.0436969 Iter 6 CHI-SQUARE = 2683.1239 DOF = 1862 P(0) = 60.2459 P(1) = -4.28051E-05 P(2) = 60.9306 P(3) = 37.8073 P(4) = 0.000130000 P(5) = -0.0434866 Iter 7 CHI-SQUARE = 2683.1236 DOF = 1862 P(0) = 60.2363 P(1) = -4.27645E-05 P(2) = 60.9168 P(3) = 37.8086 P(4) = 0.000130000 P(5) = -0.0435818 Iter 8 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2381 P(1) = -4.27851E-05 P(2) = 60.9206 P(3) = 37.8089 P(4) = 0.000130000 P(5) = -0.0436578 Iter 9 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2407 P(1) = -4.27645E-05 P(2) = 60.9219 P(3) = 37.8103 P(4) = 0.000130000 P(5) = -0.0436259 Iter 10 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27569E-05 P(2) = 60.9194 P(3) = 37.8101 P(4) = 0.000130000 P(5) = -0.0437217 Iter 11 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27558E-05 P(2) = 60.9193 P(3) = 37.8101 P(4) = 0.000130000 P(5) = -0.0437249 Iter 12 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27562E-05 P(2) = 60.9192 P(3) = 37.8102 P(4) = 0.000130000 P(5) = -0.0437282 Iter 13 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27558E-05 P(2) = 60.9192 P(3) = 37.8102 P(4) = 0.000130000 P(5) = -0.0437310 Iter 14 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27560E-05 P(2) = 60.9192 P(3) = 37.8102 P(4) = 0.000130000 P(5) = -0.0437325 Iter 15 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27559E-05 P(2) = 60.9191 P(3) = 37.8102 P(4) = 0.000130000 P(5) = -0.0437350 Iter 16 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27556E-05 P(2) = 60.9191 P(3) = 37.8102 P(4) = 0.000130000 P(5) = -0.0437363 Iter 17 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27555E-05 P(2) = 60.9191 P(3) = 37.8102 P(4) = 0.000130000 P(5) = -0.0437373 Iter 18 CHI-SQUARE = 2683.1234 DOF = 1862 P(0) = 60.2399 P(1) = -4.27556E-05 P(2) = 60.9191 P(3) = 37.8103 P(4) = 0.000130000 P(5) = -0.0437378 FITMOONPLUSLINE: sdR-b2-00034752.fit: fit coeffs: 60.239870 -4.2755582e-05 60.919076 37.810251 0.00013000000 -0.043737786 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 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2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034752.fit: changing 4046.58 correction from 0.237986 to 0.38658231 pixels, err= 0.065046494 Iter 1 CHI-SQUARE = 38541.403 DOF = 3853 P(0) = 47.7803 P(1) = 0.00000 P(2) = 47.7803 P(3) = 47.7803 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 4279.8998 DOF = 3853 P(0) = 90.3546 P(1) = -4.34829E-05 P(2) = 76.2656 P(3) = 128.216 P(4) = 0.000130000 P(5) = 0.244709 Iter 3 CHI-SQUARE = 4194.0976 DOF = 3853 P(0) = 90.4086 P(1) = -1.89717E-05 P(2) = 77.1543 P(3) = 127.194 P(4) = 0.000130000 P(5) = 0.218389 Iter 4 CHI-SQUARE = 4181.0659 DOF = 3853 P(0) = 90.3528 P(1) = -2.09974E-05 P(2) = 76.8280 P(3) = 128.602 P(4) = 0.000130000 P(5) = 0.237349 Iter 5 CHI-SQUARE = 4179.7699 DOF = 3853 P(0) = 90.3263 P(1) = -1.95653E-05 P(2) = 76.6761 P(3) = 128.607 P(4) = 0.000130000 P(5) = 0.243790 Iter 6 CHI-SQUARE = 4179.7610 DOF = 3853 P(0) = 90.3429 P(1) = -1.94739E-05 P(2) = 76.6730 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244219 Iter 7 CHI-SQUARE = 4179.7610 DOF = 3853 P(0) = 90.3429 P(1) = -1.94736E-05 P(2) = 76.6729 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244221 Iter 8 CHI-SQUARE = 4179.7609 DOF = 3853 P(0) = 90.3430 P(1) = -1.94739E-05 P(2) = 76.6729 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244222 Iter 9 CHI-SQUARE = 4179.7608 DOF = 3853 P(0) = 90.3430 P(1) = -1.94745E-05 P(2) = 76.6729 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244222 Iter 10 CHI-SQUARE = 4179.7608 DOF = 3853 P(0) = 90.3430 P(1) = -1.94751E-05 P(2) = 76.6729 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244223 Iter 11 CHI-SQUARE = 4179.7607 DOF = 3853 P(0) = 90.3430 P(1) = -1.94757E-05 P(2) = 76.6729 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244224 Iter 12 CHI-SQUARE = 4179.7606 DOF = 3853 P(0) = 90.3430 P(1) = -1.94762E-05 P(2) = 76.6729 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244225 Iter 13 CHI-SQUARE = 4179.7605 DOF = 3853 P(0) = 90.3430 P(1) = -1.94774E-05 P(2) = 76.6729 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244226 Iter 13 CHI-SQUARE = 4179.7605 DOF = 3853 P(0) = 90.3430 P(1) = -1.94774E-05 P(2) = 76.6729 P(3) = 128.633 P(4) = 0.000130000 P(5) = 0.244226 FITMOONPLUSLINE: sdR-b2-00034752.fit: fit coeffs: 90.343042 -1.9477389e-05 76.672875 128.63334 0.00013000000 0.24422600 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034752.fit: changing 4358.33 correction from 0.185669 to 0.17958443 pixels, err= 0.023897330 Iter 1 CHI-SQUARE = 27216.652 DOF = 1286 P(0) = 94.6734 P(1) = 0.00000 P(2) = 94.6734 P(3) = 94.6734 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 1860.0089 DOF = 1286 P(0) = 167.504 P(1) = -4.46403E-05 P(2) = 177.795 P(3) = 221.026 P(4) = 0.000130000 P(5) = 0.131298 Iter 3 CHI-SQUARE = 1785.3221 DOF = 1286 P(0) = 171.055 P(1) = -2.53581E-05 P(2) = 146.859 P(3) = 223.360 P(4) = 0.000130000 P(5) = -0.272614 Iter 4 CHI-SQUARE = 1638.2835 DOF = 1286 P(0) = 166.666 P(1) = -1.81936E-05 P(2) = 170.144 P(3) = 222.877 P(4) = 0.000130000 P(5) = 0.0341540 Iter 5 CHI-SQUARE = 1632.1068 DOF = 1286 P(0) = 166.611 P(1) = -1.91766E-05 P(2) = 172.012 P(3) = 222.763 P(4) = 0.000130000 P(5) = 0.117923 Iter 6 CHI-SQUARE = 1630.1010 DOF = 1286 P(0) = 167.241 P(1) = -1.94675E-05 P(2) = 171.418 P(3) = 222.875 P(4) = 0.000130000 P(5) = 0.123490 Iter 7 CHI-SQUARE = 1629.9098 DOF = 1286 P(0) = 167.250 P(1) = -1.88798E-05 P(2) = 172.679 P(3) = 222.741 P(4) = 0.000130000 P(5) = 0.134718 Iter 8 CHI-SQUARE = 1629.8647 DOF = 1286 P(0) = 167.369 P(1) = -1.88760E-05 P(2) = 173.109 P(3) = 222.722 P(4) = 0.000130000 P(5) = 0.131466 Iter 9 CHI-SQUARE = 1629.8635 DOF = 1286 P(0) = 167.378 P(1) = -1.88365E-05 P(2) = 173.218 P(3) = 222.710 P(4) = 0.000130000 P(5) = 0.130815 Iter 10 CHI-SQUARE = 1629.8631 DOF = 1286 P(0) = 167.373 P(1) = -1.88420E-05 P(2) = 173.232 P(3) = 222.704 P(4) = 0.000130000 P(5) = 0.131115 Iter 11 CHI-SQUARE = 1629.8628 DOF = 1286 P(0) = 167.371 P(1) = -1.88390E-05 P(2) = 173.234 P(3) = 222.702 P(4) = 0.000130000 P(5) = 0.131092 Iter 12 CHI-SQUARE = 1629.8627 DOF = 1286 P(0) = 167.369 P(1) = -1.88402E-05 P(2) = 173.236 P(3) = 222.700 P(4) = 0.000130000 P(5) = 0.131104 Iter 13 CHI-SQUARE = 1629.8627 DOF = 1286 P(0) = 167.368 P(1) = -1.88409E-05 P(2) = 173.237 P(3) = 222.699 P(4) = 0.000130000 P(5) = 0.131121 Iter 14 CHI-SQUARE = 1629.8627 DOF = 1286 P(0) = 167.368 P(1) = -1.88409E-05 P(2) = 173.237 P(3) = 222.699 P(4) = 0.000130000 P(5) = 0.131121 Iter 14 CHI-SQUARE = 1629.8627 DOF = 1286 P(0) = 167.368 P(1) = -1.88409E-05 P(2) = 173.237 P(3) = 222.699 P(4) = 0.000130000 P(5) = 0.131121 FITMOONPLUSLINE: sdR-b2-00034752.fit: fit coeffs: 167.36805 -1.8840869e-05 173.23698 222.69902 0.00013000000 0.13112137 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034752.fit: changing 5460.94 correction from 0.292106 to 0.19445769 pixels, err= 0.018736757 LOCATESKYLINES_2: sdR-b2-00034752.fit: applying -0.02 pixel correction to 0.32 0.29 0.60 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 FITMEANX: sdR-b2-00034752.fit: In skyline number 0 std-dev is 0.12517997 pix FITMEANX: sdR-b2-00034752.fit: In skyline number 1 std-dev is 0.078136880 pix FITMEANX: sdR-b2-00034752.fit: In skyline number 2 std-dev is 0.056200292 pix FITMEANX: sdR-b2-00034752.fit: In skyline number 3 std-dev is 0.022234917 pix FITMEANX: sdR-b2-00034752.fit: In skyline number 4 std-dev is 0.040842847 pix FITMEANX: sdR-b2-00034752.fit: In skyline number 5 std-dev is 0.058408751 pix LOCATESKYLINES_2: sdR-b2-00034752.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034752.fit: In sky feature at 4046.5600 coadded std-dev is 0.0650465 pix LOCATESKYLINES_2: sdR-b2-00034752.fit: In sky feature at 4358.3300 coadded std-dev is 0.0238973 pix LOCATESKYLINES_2: sdR-b2-00034752.fit: In sky feature at 5460.9400 coadded std-dev is 0.0187368 pix LOCATESKYLINES_2: sdR-b2-00034752.fit: In sky feature at 5577.3390 coadded std-dev is 0.00434837 pix LOCATESKYLINES_2: sdR-b2-00034752.fit: In sky feature at 5889.9500 coadded std-dev is 0.00966440 pix LOCATESKYLINES_2: sdR-b2-00034752.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034752.fit: Median arc shift = 0.22935462 pix LOCATESKYLINES_2: sdR-b2-00034752.fit: Dispersion in arc shift = 0.034909060 pix LOCATESKYLINES_2: sdR-b2-00034752.fit: Maximum sky-line shift is 0.27218755 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Number of sky fibers = 35 ROW NITER SIG(med) CHI^2 .0000 1 0.86 0.15 .0001 1 0.86 0.16 .0002 1 0.86 0.16 .0003 1 0.86 0.15 .0004 1 0.86 0.15 .0005 2 0.86 0.38 .0006 1 0.86 0.16 .0007 1 0.86 0.16 .0008 1 0.86 0.14 .0009 1 0.86 0.17 .0010 1 0.86 0.13 .0011 2 0.86 0.27 .0012 4 0.86 0.38 .0013 1 0.86 0.13 .0014 1 0.86 0.17 .0015 1 0.86 0.16 .0016 1 0.86 0.21 .0017 1 0.86 0.33 .0018 1 0.86 0.16 .0019 1 0.86 0.12 .0020 1 0.84 0.22 .0021 1 0.84 0.15 .0022 2 0.84 0.26 .0023 2 0.84 0.42 .0024 1 0.84 0.16 .0025 1 0.84 0.13 .0026 1 0.84 0.14 .0027 3 0.84 0.40 .0028 1 0.84 0.15 .0029 1 0.84 0.16 .0030 1 0.84 0.12 .0031 1 0.84 0.18 .0032 1 0.84 0.32 .0033 1 0.84 0.24 .0034 2 0.84 0.30 .0035 1 0.84 0.26 .0036 1 0.84 0.14 .0037 1 0.84 0.15 .0038 1 0.84 0.19 .0039 1 0.84 0.13 .0040 2 0.87 0.32 .0041 1 0.87 0.19 .0042 1 0.87 0.15 .0043 1 0.87 0.11 .0044 1 0.87 0.18 .0045 1 0.87 0.18 .0046 1 0.87 0.26 .0047 1 0.87 0.14 .0048 1 0.87 0.18 .0049 1 0.87 0.15 .0050 1 0.87 0.14 .0051 1 0.87 0.34 .0052 1 0.87 0.14 .0053 1 0.87 0.10 .0054 3 0.87 0.28 .0055 4 0.87 0.26 .0056 1 0.87 0.20 .0057 1 0.87 0.28 .0058 1 0.87 0.17 .0059 1 0.87 0.12 .0060 1 0.86 0.17 .0061 1 0.86 0.18 .0062 1 0.86 0.29 .0063 1 0.86 0.14 .0064 2 0.86 0.40 .0065 1 0.86 0.19 .0066 1 0.86 0.23 .0067 1 0.86 0.25 .0068 1 0.86 0.16 .0069 4 0.86 0.38 .0070 2 0.86 0.27 .0071 1 0.86 0.15 .0072 1 0.86 0.23 .0073 1 0.86 0.16 .0074 1 0.86 0.15 .0075 1 0.86 0.17 .0076 5 0.86 0.40 .0077 1 0.86 0.19 .0078 2 0.86 0.27 .0079 1 0.86 0.15 .0080 1 0.86 0.32 .0081 1 0.86 0.20 .0082 1 0.86 0.13 .0083 1 0.86 0.20 .0084 1 0.86 0.13 .0085 1 0.86 0.16 .0086 3 0.86 0.35 .0087 1 0.86 0.17 .0088 1 0.86 0.23 .0089 1 0.86 0.19 .0090 1 0.86 0.18 .0091 1 0.86 0.17 .0092 1 0.86 0.20 .0093 1 0.86 0.29 .0094 2 0.86 0.19 .0095 1 0.86 0.29 .0096 1 0.86 0.18 .0097 2 0.86 0.26 .0098 1 0.86 0.19 .0099 1 0.86 0.15 .0100 1 0.86 0.19 .0101 1 0.86 0.22 .0102 4 0.86 0.33 .0103 1 0.86 0.16 .0104 1 0.86 0.18 .0105 4 0.86 0.42 .0106 1 0.86 0.14 .0107 1 0.86 0.29 .0108 2 0.86 0.20 .0109 1 0.86 0.17 .0110 1 0.86 0.17 .0111 1 0.86 0.25 .0112 3 0.86 0.25 .0113 1 0.86 0.18 .0114 1 0.86 0.16 .0115 1 0.86 0.23 .0116 1 0.86 0.28 .0117 1 0.86 0.37 .0118 1 0.86 0.23 .0119 1 0.86 0.21 .0120 1 0.84 0.18 .0121 1 0.84 0.15 .0122 1 0.84 0.16 .0123 1 0.84 0.16 .0124 1 0.84 0.17 .0125 1 0.84 0.15 .0126 1 0.84 0.20 .0127 1 0.84 0.16 .0128 1 0.84 0.34 .0129 1 0.84 0.15 .0130 3 0.84 0.39 .0131 1 0.84 0.16 .0132 3 0.84 0.25 .0133 1 0.84 0.35 .0134 1 0.84 0.36 .0135 1 0.84 0.24 .0136 1 0.84 0.18 .0137 1 0.84 0.15 .0138 1 0.84 0.36 .0139 1 0.84 0.34 .0140 1 0.85 0.20 .0141 4 0.85 0.51 .0142 8 0.85 0.26 .0143 1 0.85 0.20 .0144 1 0.85 0.43 .0145 1 0.85 0.21 .0146 1 0.85 0.26 .0147 1 0.85 0.33 .0148 1 0.85 0.34 .0149 8 0.85 0.21 .0150 1 0.85 0.32 .0151 1 0.85 0.51 .0152 1 0.85 0.31 .0153 1 0.85 0.18 .0154 9 0.85 0.23 .0155 7 0.85 0.35 .0156 1 0.85 0.28 .0157 9 0.85 0.43 .0158 2 0.85 0.28 .0159 2 0.85 0.35 .0160 1 0.86 0.29 .0161 1 0.86 0.33 .0162 1 0.86 0.39 .0163 1 0.86 0.30 .0164 1 0.86 0.44 .0165 1 0.86 0.18 .0166 1 0.86 0.21 .0167 1 0.86 0.34 .0168 2 0.86 0.40 .0169 1 0.86 0.59 .0170 2 0.86 0.52 .0171 1 0.86 0.37 .0172 1 0.86 0.18 .0173 1 0.86 0.32 .0174 1 0.86 0.15 .0175 1 0.86 0.41 .0176 1 0.86 0.11 .0177 1 0.86 0.33 .0178 1 0.86 0.17 .0179 1 0.86 0.19 .0180 1 0.85 0.22 .0181 1 0.85 0.23 .0182 1 0.85 0.17 .0183 1 0.85 0.34 .0184 1 0.85 0.21 .0185 1 0.85 0.15 .0186 1 0.85 0.17 .0187 1 0.85 0.15 .0188 1 0.85 0.44 .0189 2 0.85 0.66 .0190 1 0.85 0.15 .0191 1 0.85 0.15 .0192 1 0.85 0.16 .0193 1 0.85 0.18 .0194 1 0.85 0.14 .0195 1 0.85 0.15 .0196 1 0.85 0.19 .0197 1 0.85 0.49 .0198 1 0.85 0.17 .0199 1 0.85 0.15 .0200 1 0.85 0.14 .0201 1 0.85 0.17 .0202 2 0.85 0.37 .0203 1 0.85 0.15 .0204 1 0.85 0.17 .0205 8 0.85 0.18 .0206 1 0.85 0.17 .0207 5 0.85 0.47 .0208 1 0.85 0.19 .0209 4 0.85 0.48 .0210 1 0.85 0.26 .0211 1 0.85 0.52 .0212 1 0.85 0.39 .0213 1 0.85 0.17 .0214 1 0.85 0.31 .0215 1 0.85 0.35 .0216 5 0.85 0.31 .0217 3 0.85 0.37 .0218 1 0.85 0.23 .0219 1 0.85 0.18 .0220 1 0.85 0.71 .0221 2 0.85 0.53 .0222 2 0.85 0.38 .0223 7 0.85 0.28 .0224 1 0.85 0.45 .0225 1 0.85 0.32 .0226 2 0.85 0.58 .0227 1 0.85 0.16 .0228 7 0.85 0.28 .0229 2 0.85 0.51 .0230 1 0.85 0.39 .0231 1 0.85 0.51 .0232 1 0.85 0.14 .0233 1 0.85 0.62 .0234 1 0.85 0.50 .0235 1 0.85 0.14 .0236 2 0.85 0.51 .0237 1 0.85 0.57 .0238 10 0.85 0.26 .0239 1 0.85 0.13 .0240 3 0.85 0.29 .0241 0 0.85 0.00 .0242 3 0.85 0.42 .0243 1 0.85 0.44 .0244 1 0.85 0.37 .0245 1 0.85 0.44 .0246 1 0.85 0.22 .0247 1 0.85 0.29 .0248 1 0.85 0.29 .0249 1 0.85 0.18 .0250 1 0.85 0.40 .0251 4 0.85 0.50 .0252 1 0.85 0.36 .0253 1 0.85 0.43 .0254 1 0.85 0.13 .0255 1 0.85 0.41 .0256 1 0.85 0.26 .0257 1 0.85 0.16 .0258 1 0.85 0.36 .0259 1 0.85 0.16 .0260 1 0.85 0.15 .0261 1 0.85 0.14 .0262 3 0.85 0.52 .0263 0 0.85 0.00 .0264 2 0.85 0.64 .0265 1 0.85 0.14 .0266 1 0.85 0.39 .0267 1 0.85 0.31 .0268 2 0.85 0.48 .0269 1 0.85 0.49 .0270 1 0.85 0.52 .0271 1 0.85 0.13 .0272 2 0.85 0.42 .0273 2 0.85 0.79 .0274 2 0.85 0.42 .0275 8 0.85 0.23 .0276 1 0.85 0.12 .0277 4 0.85 0.53 .0278 2 0.85 0.74 .0279 3 0.85 0.60 .0280 1 0.86 0.19 .0281 1 0.86 0.12 .0282 1 0.86 0.34 .0283 1 0.86 0.33 .0284 1 0.86 0.13 .0285 1 0.86 0.26 .0286 1 0.86 0.16 .0287 1 0.86 0.16 .0288 1 0.86 0.21 .0289 1 0.86 0.43 .0290 1 0.86 0.35 .0291 2 0.86 0.52 .0292 0 0.86 0.00 .0293 2 0.86 0.44 .0294 1 0.86 0.18 .0295 1 0.86 0.26 .0296 2 0.86 0.33 .0297 1 0.86 0.26 .0298 3 0.86 0.55 .0299 1 0.86 0.49 .0300 1 0.86 0.38 .0301 1 0.86 0.50 .0302 1 0.86 0.38 .0303 8 0.86 0.38 .0304 1 0.86 0.67 .0305 1 0.86 0.30 .0306 1 0.86 0.44 .0307 1 0.86 0.14 .0308 1 0.86 0.15 .0309 1 0.86 0.46 .0310 1 0.86 0.47 .0311 0 0.86 0.00 .0312 5 0.86 0.46 .0313 1 0.86 0.63 .0314 1 0.86 0.38 .0315 5 0.86 0.56 .0316 7 0.86 0.54 .0317 1 0.86 0.41 .0318 1 0.86 0.46 .0319 1 0.86 0.42 EXTRACT_IMAGE: sdR-b2-00034752.fit: masked 240 pixels SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 0 median sigma(arc)= 0.86140295 sigma(sky)= 0.80733969 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 0 sigma^2(add)= -0.073890940 +/- 0.35433936 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 1 median sigma(arc)= 0.86122834 sigma(sky)= 0.80919119 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 1 sigma^2(add)= -0.070550329 +/- 0.32565121 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 2 median sigma(arc)= 0.85466623 sigma(sky)= 0.92017696 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 2 sigma^2(add)= 0.14057380 +/- 0.11690244 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 3 median sigma(arc)= 0.85353813 sigma(sky)= 1.0101701 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 3 sigma^2(add)= 0.31417191 +/- 0.32135852 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 4 median sigma(arc)= 0.88248055 sigma(sky)= 1.1940393 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 4 sigma^2(add)= 0.65206102 +/- 0.41854744 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 5 median sigma(arc)= 0.90627069 sigma(sky)= -5.3351157 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Line # 5 sigma^2(add)= 22.830004 +/- 1305.4549 SKYLINE_DISPERSION: sdR-b2-00034752.fit: Flexure sigma^2(add) = 0.13873186 +/- 0.26032417 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034752.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034752.fit: Heliocentric correction = 22.838631 km/s FITVACSET: sdR-b2-00034752.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034752.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034752.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034752.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034752.fit: Number of sky fibers = 33 SKYSUBTRACT: sdR-b2-00034752.fit: Airmass range = 1.12137 1.14924 SKYSUBTRACT: sdR-b2-00034752.fit: Discarding 0.000665838 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 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of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 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of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034752.fit: Median sky-residual chi2 = 1.13326 SKYSUBTRACT: sdR-b2-00034752.fit: Max sky-residual chi2 = 2.78480 QAPLOT_SKYSUB: sdR-b2-00034752.fit: Warning: Median sky-sub flux in sky fiber 260 = 22.0930 electrons QAPLOT_SKYSUB: sdR-b2-00034752.fit: Warning: Median sky-sub flux in sky fiber 262 = 10.3170 electrons QAPLOT_SKYSUB: sdR-b2-00034752.fit: Warning: Median sky-sub flux in sky fiber 309 = 13.4153 electrons QAPLOT_SKYSUB: sdR-b2-00034752.fit: Median sky-residual chi = 1.07382 QAPLOT_SKYSUB: sdR-b2-00034752.fit: Max sky-residual chi = 1.64747 at 4804.8480 Ang SKYSUBTRACT: sdR-b2-00034752.fit: Number of sky fibers = 33 SKYSUBTRACT: sdR-b2-00034752.fit: Airmass range = 1.12137 1.14924 SKYSUBTRACT: sdR-b2-00034752.fit: Discarding 0.000665838 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 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Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034752.fit: Median sky-residual chi2 = 1.10214 SKYSUBTRACT: sdR-b2-00034752.fit: Max sky-residual chi2 = 2.58698 QAPLOT_SKYSUB: sdR-b2-00034752.fit: Warning: Median sky-sub flux in sky fiber 260 = 19.7514 electrons QAPLOT_SKYSUB: sdR-b2-00034752.fit: Median sky-residual chi = 1.05850 QAPLOT_SKYSUB: sdR-b2-00034752.fit: Max sky-residual chi = 1.73840 at 3807.9373 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b2-00034752.fit: Airmass range = 1.12 1.15 QAPLOT_SKYLINE: sdR-b2-00034752.fit: Flux dispersion for skyline 4359.5 = 20.07 % QAPLOT_SKYLINE: sdR-b2-00034752.fit: Airmass range = 1.12 1.15 QAPLOT_SKYLINE: sdR-b2-00034752.fit: Flux dispersion for skyline 5578.9 = 3.36 % SPADD_GUIDERINFO: sdR-b2-00034752.fit: Number of guider frames = 7 SPREDUCE: sdR-b2-00034752.fit: Elapsed time = 218. seconds SPREDUCE: sdR-b2-00034753.fit: Reading object sdR-b2-00034753.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034753.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034753.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034753.fit: Measured read-noise in DN for amp# 2 = 3.79166 SDSSPROC: sdR-b2-00034753.fit: Measured bias value in DN for amp# 2 = 1225.44 SDSSPROC: sdR-b2-00034753.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034753.fit: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: sdR-b2-00034753.fit: Measured read-noise in DN for amp# 3 = 3.26166 SDSSPROC: sdR-b2-00034753.fit: Measured bias value in DN for amp# 3 = 1198.36 SDSSPROC: sdR-b2-00034753.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034753.fit: Amp #3 Number of pix below bias-5*sigma= 1181. DN is 0 SDSSPROC: sdR-b2-00034753.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034753.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034753.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034753.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034753.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034753.fit: Science 25-th-percentile = 148.137 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b2-00034753.fit: Whopping fibers: 157 223 226 238 275 303 316 EXTRACT_OBJECT: sdR-b2-00034753.fit: Median counts in all fibers = 2838.68 EXTRACT_OBJECT: sdR-b2-00034753.fit: Number of bright fibers = 7 EXTRACT_OBJECT: sdR-b2-00034753.fit: Sky fiber median 450.130 EXTRACT_OBJECT: sdR-b2-00034753.fit: 5% and 95% count levels 437.014 10362.9 MATCH_TRACE: sdR-b2-00034753.fit: Iteration: 0 Pixels Rejected: 4217 Finished? 0 MATCH_TRACE: sdR-b2-00034753.fit: Iteration: 1 Pixels Rejected: 51 Finished? 0 MATCH_TRACE: sdR-b2-00034753.fit: Iteration: 2 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: sdR-b2-00034753.fit: Iteration: 3 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b2-00034753.fit: Shifting traces by match_trace 0.00170898 EXTRACT_OBJECT: sdR-b2-00034753.fit: Extracting frame sdR-b2-00034753.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034753.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.33 .0001 1 0.91 1.29 .0002 1 0.91 1.43 .0003 3 0.91 1.37 .0004 2 0.91 1.45 .0005 2 0.91 1.33 .0006 3 0.91 1.37 .0007 3 0.91 1.38 .0008 4 0.91 1.44 .0009 3 0.91 1.35 .0010 3 0.91 1.36 .0011 2 0.91 1.32 .0012 1 0.91 1.33 .0013 1 0.91 1.30 .0014 2 0.91 1.25 .0015 3 0.91 1.47 .0016 2 0.91 1.45 .0017 3 0.91 1.31 .0018 3 0.91 1.37 .0019 3 0.91 1.33 .0020 2 0.91 1.46 .0021 4 0.91 1.33 .0022 3 0.91 1.38 .0023 3 0.91 1.34 .0024 2 0.91 1.36 .0025 3 0.91 1.42 .0026 3 0.91 1.43 .0027 3 0.91 1.33 .0028 1 0.91 1.29 .0029 1 0.91 1.41 .0030 1 0.91 1.32 .0031 1 0.91 1.28 .0032 2 0.91 1.28 .0033 1 0.91 1.25 .0034 1 0.91 1.30 .0035 1 0.91 1.34 .0036 3 0.91 1.24 .0037 3 0.91 1.28 .0038 4 0.91 1.23 .0039 1 0.91 1.26 .0040 1 0.91 1.30 .0041 1 0.91 1.29 .0042 2 0.91 1.26 .0043 2 0.91 1.33 .0044 1 0.91 1.29 .0045 2 0.91 1.19 .0046 3 0.91 1.29 .0047 3 0.91 1.17 .0048 1 0.91 1.27 .0049 2 0.91 1.33 .0050 4 0.91 1.24 .0051 4 0.91 1.24 .0052 2 0.91 1.28 .0053 2 0.91 1.24 .0054 3 0.91 1.20 .0055 3 0.91 1.30 .0056 2 0.91 1.32 .0057 2 0.91 1.29 .0058 3 0.91 1.22 .0059 1 0.91 1.26 .0060 2 0.91 1.36 .0061 1 0.91 1.30 .0062 2 0.91 1.44 .0063 2 0.91 1.37 .0064 2 0.91 1.30 .0065 2 0.91 1.38 .0066 2 0.91 1.53 .0067 2 0.91 1.52 .0068 2 0.91 1.52 .0069 1 0.91 1.37 .0070 1 0.91 1.50 .0071 1 0.91 1.63 .0072 2 0.91 1.37 .0073 1 0.91 1.48 .0074 1 0.91 1.53 .0075 1 0.91 1.57 .0076 2 0.91 1.57 .0077 2 0.91 1.53 .0078 1 0.91 1.57 .0079 3 0.91 1.56 .0080 2 0.91 1.60 .0081 2 0.91 1.62 .0082 2 0.91 1.67 .0083 2 0.91 1.74 .0084 3 0.91 1.56 .0085 3 0.91 1.72 .0086 3 0.91 1.69 .0087 3 0.91 1.69 .0088 1 0.91 1.55 .0089 1 0.91 1.65 .0090 1 0.91 1.72 .0091 1 0.91 1.70 .0092 1 0.91 1.70 .0093 1 0.91 1.71 .0094 2 0.91 1.58 .0095 2 0.91 1.68 .0096 2 0.91 1.76 .0097 1 0.91 1.80 .0098 2 0.91 1.70 .0099 3 0.91 1.89 .0100 3 0.91 1.90 .0101 1 0.91 1.79 .0102 1 0.91 1.93 .0103 3 0.91 1.74 .0104 3 0.91 1.71 .0105 1 0.91 1.68 .0106 1 0.91 1.72 .0107 1 0.91 1.67 .0108 1 0.91 1.91 .0109 1 0.91 1.87 .0110 1 0.91 1.93 .0111 3 0.91 1.78 .0112 2 0.91 1.76 .0113 2 0.91 1.74 .0114 1 0.91 1.73 .0115 1 0.91 1.75 .0116 6 0.91 1.69 .0117 4 0.91 1.77 .0118 4 0.91 1.85 .0119 3 0.91 1.74 .0120 1 0.91 1.66 .0121 1 0.91 1.75 .0122 2 0.91 1.71 .0123 1 0.91 1.75 .0124 1 0.91 1.71 .0125 1 0.91 1.68 .0126 2 0.91 1.74 .0127 2 0.91 1.89 .0128 4 0.91 1.76 .0129 4 0.91 1.88 .0130 3 0.91 1.84 .0131 2 0.91 1.76 .0132 4 0.91 1.77 .0133 4 0.91 1.95 .0134 4 0.91 1.95 .0135 3 0.91 1.75 .0136 3 0.91 1.72 .0137 4 0.91 1.68 .0138 3 0.91 1.90 .0139 6 0.91 1.86 .0140 3 0.91 1.85 .0141 1 0.91 1.82 .0142 2 0.91 1.81 .0143 2 0.91 1.68 .0144 2 0.91 1.80 .0145 2 0.91 1.77 .0146 1 0.91 1.83 .0147 2 0.91 1.64 .0148 2 0.91 1.75 .0149 3 0.91 1.77 .0150 1 0.91 1.69 .0151 1 0.91 1.66 .0152 3 0.91 1.69 .0153 4 0.91 1.83 .0154 2 0.91 1.75 .0155 4 0.91 1.78 .0156 3 0.91 1.79 .0157 3 0.91 1.70 .0158 3 0.91 1.70 .0159 4 0.91 1.93 .0160 1 0.91 1.79 .0161 1 0.91 1.74 .0162 2 0.91 1.72 .0163 1 0.91 1.90 .0164 1 0.91 1.85 .0165 3 0.91 1.70 .0166 3 0.91 1.75 .0167 3 0.91 1.78 .0168 2 0.92 1.69 .0169 2 0.92 1.80 .0170 3 0.92 1.84 .0171 1 0.92 1.76 .0172 1 0.92 1.67 .0173 2 0.92 1.77 .0174 2 0.92 1.74 .0175 1 0.92 1.96 .0176 1 0.92 1.72 .0177 1 0.92 1.72 .0178 2 0.92 1.83 .0179 4 0.92 1.77 .0180 5 0.92 1.77 .0181 4 0.92 1.70 .0182 3 0.92 1.80 .0183 2 0.92 1.67 .0184 2 0.92 1.58 .0185 2 0.92 1.79 .0186 2 0.92 1.85 .0187 2 0.92 1.89 .0188 2 0.92 1.73 .0189 2 0.92 1.69 .0190 1 0.92 1.77 .0191 4 0.92 1.81 .0192 4 0.92 1.89 .0193 3 0.92 1.91 .0194 2 0.92 1.82 .0195 1 0.92 1.80 .0196 1 0.92 1.77 .0197 3 0.92 1.83 .0198 3 0.92 1.83 .0199 4 0.92 2.00 .0200 5 0.92 1.71 .0201 1 0.92 1.70 .0202 1 0.92 1.73 .0203 2 0.92 1.81 .0204 4 0.92 1.66 .0205 4 0.92 1.84 .0206 3 0.92 2.05 .0207 6 0.92 1.76 .0208 2 0.92 1.95 .0209 2 0.92 1.81 .0210 3 0.92 1.86 .0211 2 0.92 1.93 .0212 2 0.92 1.81 .0213 2 0.92 1.82 .0214 4 0.92 1.77 .0215 3 0.92 1.89 .0216 2 0.92 1.78 .0217 1 0.92 1.80 .0218 1 0.92 1.56 .0219 1 0.92 1.80 .0220 1 0.92 1.79 .0221 2 0.92 1.76 .0222 2 0.92 1.58 .0223 2 0.92 1.65 .0224 3 0.92 1.78 .0225 3 0.92 1.72 .0226 1 0.92 1.78 .0227 2 0.92 1.90 .0228 3 0.92 1.86 .0229 2 0.92 1.76 .0230 2 0.92 1.92 .0231 2 0.92 1.89 .0232 2 0.92 1.91 .0233 2 0.92 1.96 .0234 1 0.92 1.78 .0235 3 0.92 1.87 .0236 2 0.92 1.88 .0237 1 0.92 1.96 .0238 1 0.92 1.81 .0239 4 0.92 1.81 .0240 4 0.92 1.74 .0241 1 0.92 2.00 .0242 1 0.92 1.84 .0243 3 0.92 1.91 .0244 2 0.92 1.82 .0245 2 0.92 1.84 .0246 3 0.92 1.99 .0247 2 0.92 1.92 .0248 2 0.92 1.90 .0249 1 0.92 1.90 .0250 1 0.92 1.83 .0251 1 0.92 1.93 .0252 1 0.92 1.95 .0253 3 0.92 2.12 .0254 3 0.92 1.89 .0255 3 0.92 1.82 .0256 3 0.92 1.90 .0257 2 0.92 1.81 .0258 1 0.92 2.16 .0259 2 0.92 1.90 .0260 5 0.92 1.97 .0261 3 0.92 1.91 .0262 1 0.92 1.80 .0263 1 0.92 1.94 .0264 2 0.92 1.90 .0265 3 0.92 2.08 .0266 3 0.92 2.18 .0267 4 0.92 2.07 .0268 3 0.92 1.91 .0269 2 0.92 1.96 .0270 1 0.92 2.13 .0271 4 0.92 2.17 .0272 2 0.92 2.17 .0273 3 0.92 2.04 .0274 1 0.92 1.92 .0275 1 0.92 2.00 .0276 1 0.92 2.05 .0277 1 0.92 1.94 .0278 2 0.92 2.21 .0279 3 0.92 2.17 .0280 1 0.92 2.05 .0281 1 0.92 2.13 .0282 3 0.92 2.12 .0283 3 0.92 2.09 .0284 1 0.92 2.21 .0285 2 0.92 2.35 .0286 4 0.92 2.16 .0287 2 0.92 2.26 .0288 1 0.92 2.07 .0289 1 0.92 2.09 .0290 1 0.92 2.11 .0291 1 0.92 2.04 .0292 2 0.92 2.08 .0293 2 0.92 2.26 .0294 2 0.92 2.31 .0295 2 0.92 2.24 .0296 2 0.92 2.16 .0297 1 0.92 2.12 .0298 1 0.92 2.11 .0299 1 0.92 2.31 .0300 3 0.92 2.07 .0301 2 0.92 2.19 .0302 1 0.92 2.21 .0303 1 0.92 2.16 .0304 1 0.92 2.12 .0305 1 0.92 2.25 .0306 1 0.92 2.17 .0307 1 0.92 2.10 .0308 1 0.92 2.04 .0309 1 0.92 2.29 .0310 1 0.92 2.09 .0311 1 0.92 2.17 .0312 2 0.92 2.14 .0313 4 0.92 2.27 .0314 2 0.92 2.54 .0315 1 0.92 2.39 .0316 2 0.92 2.20 .0317 2 0.92 2.15 .0318 3 0.92 2.20 .0319 2 0.92 2.13 .0320 1 0.92 2.25 .0321 4 0.92 2.12 .0322 3 0.92 2.21 .0323 2 0.92 2.22 .0324 2 0.92 2.13 .0325 2 0.92 2.18 .0326 1 0.92 2.46 .0327 3 0.92 2.15 .0328 2 0.92 2.47 .0329 2 0.92 2.31 .0330 1 0.92 2.23 .0331 1 0.92 2.25 .0332 1 0.92 2.14 .0333 1 0.92 2.32 .0334 5 0.92 2.15 .0335 4 0.92 2.15 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0.91 2.20 .1724 2 0.91 2.17 .1725 3 0.91 2.21 .1726 1 0.91 2.14 .1727 2 0.91 1.92 .1728 1 0.91 2.10 .1729 1 0.91 2.15 .1730 3 0.91 2.06 .1731 3 0.91 2.09 .1732 3 0.91 2.39 .1733 3 0.91 2.17 .1734 2 0.91 2.21 .1735 2 0.91 2.07 .1736 1 0.91 2.11 .1737 3 0.91 2.09 .1738 3 0.91 2.12 .1739 2 0.91 2.19 .1740 1 0.91 2.21 .1741 3 0.91 2.07 .1742 2 0.91 2.08 .1743 2 0.91 2.24 .1744 3 0.91 2.27 .1745 3 0.91 2.06 .1746 2 0.91 1.96 .1747 1 0.91 2.16 .1748 4 0.91 1.97 .1749 3 0.91 2.37 .1750 3 0.91 1.90 .1751 3 0.91 2.02 .1752 2 0.91 1.98 .1753 2 0.91 1.95 .1754 1 0.91 1.88 .1755 1 0.91 1.99 .1756 2 0.91 1.93 .1757 3 0.91 1.80 .1758 1 0.91 1.85 .1759 2 0.91 1.73 .1760 2 0.91 1.95 .1761 1 0.91 1.75 .1762 3 0.91 1.85 .1763 2 0.91 2.01 .1764 3 0.91 1.92 .1765 2 0.91 1.91 .1766 4 0.91 1.81 .1767 3 0.91 1.93 .1768 3 0.91 1.86 .1769 2 0.91 1.97 .1770 1 0.91 1.87 .1771 4 0.91 1.86 .1772 5 0.91 1.95 .1773 3 0.91 1.92 .1774 3 0.91 1.98 .1775 2 0.91 2.13 .1776 1 0.91 2.06 .1777 3 0.91 1.95 .1778 2 0.91 1.88 .1779 3 0.91 1.98 .1780 1 0.91 2.16 .1781 1 0.91 1.95 .1782 3 0.91 1.99 .1783 2 0.91 2.02 .1784 2 0.91 1.99 .1785 3 0.91 2.04 .1786 3 0.91 2.30 .1787 5 0.91 2.05 .1788 2 0.91 2.02 .1789 2 0.91 2.50 .1790 2 0.91 2.17 .1791 2 0.91 2.14 .1792 2 0.91 2.24 .1793 3 0.91 2.02 .1794 2 0.91 2.29 .1795 1 0.91 2.01 .1796 1 0.91 2.06 .1797 2 0.91 2.12 .1798 1 0.91 2.21 .1799 2 0.91 2.13 .1800 1 0.91 2.15 .1801 1 0.91 2.14 .1802 2 0.91 2.20 .1803 2 0.91 2.10 .1804 3 0.91 2.11 .1805 2 0.91 2.39 .1806 4 0.91 2.12 .1807 2 0.91 2.40 .1808 2 0.91 2.23 .1809 2 0.91 2.29 .1810 1 0.91 2.24 .1811 1 0.91 2.24 .1812 1 0.91 2.30 .1813 2 0.91 2.26 .1814 1 0.91 2.25 .1815 1 0.91 2.31 .1816 2 0.91 2.30 .1817 3 0.91 2.31 .1818 3 0.91 2.25 .1819 1 0.91 2.42 .1820 1 0.91 2.30 .1821 1 0.91 2.20 .1822 2 0.91 2.22 .1823 1 0.91 2.33 .1824 3 0.91 2.28 .1825 3 0.91 2.17 .1826 2 0.91 2.25 .1827 2 0.91 2.29 .1828 3 0.91 2.28 .1829 1 0.91 2.55 .1830 1 0.91 2.24 .1831 1 0.91 2.25 .1832 1 0.91 2.28 .1833 1 0.91 2.36 .1834 2 0.91 2.32 .1835 3 0.91 2.53 .1836 2 0.91 2.38 .1837 2 0.91 2.30 .1838 2 0.91 2.40 .1839 2 0.91 2.48 .1840 2 0.91 2.53 .1841 2 0.91 2.57 .1842 2 0.91 2.28 .1843 2 0.91 2.29 .1844 1 0.91 2.33 .1845 1 0.91 2.31 .1846 1 0.91 2.36 .1847 1 0.91 2.19 .1848 2 0.91 2.40 .1849 3 0.91 2.36 .1850 2 0.91 2.15 .1851 1 0.91 2.45 .1852 3 0.91 2.16 .1853 1 0.91 2.26 .1854 3 0.91 2.27 .1855 2 0.91 2.40 .1856 1 0.91 2.31 .1857 1 0.91 2.24 .1858 2 0.91 2.24 .1859 2 0.91 2.41 .1860 1 0.91 2.34 .1861 1 0.91 2.32 .1862 1 0.91 2.37 .1863 1 0.91 2.37 .1864 3 0.91 2.34 .1865 3 0.91 2.34 .1866 3 0.91 2.27 .1867 2 0.92 2.22 .1868 2 0.92 2.21 .1869 2 0.92 2.26 .1870 3 0.92 2.17 .1871 3 0.92 2.22 .1872 3 0.92 2.18 .1873 2 0.92 2.22 .1874 1 0.92 2.32 .1875 2 0.92 2.14 .1876 2 0.92 2.28 .1877 2 0.92 2.11 .1878 1 0.92 2.35 .1879 1 0.92 2.04 .1880 1 0.92 2.01 .1881 1 0.92 1.98 .1882 1 0.92 1.97 .1883 1 0.92 2.27 .1884 3 0.92 1.95 .1885 3 0.92 1.87 .1886 3 0.92 1.85 .1887 2 0.92 1.80 .1888 1 0.92 1.73 .1889 3 0.92 1.89 .1890 4 0.92 1.88 .1891 1 0.92 1.70 .1892 3 0.92 1.83 .1893 1 0.92 1.85 .1894 1 0.92 1.84 .1895 1 0.92 1.82 .1896 1 0.92 1.76 .1897 1 0.92 1.72 .1898 1 0.92 1.81 .1899 1 0.92 1.81 .1900 4 0.92 1.74 .1901 3 0.92 1.77 .1902 2 0.92 1.85 .1903 3 0.92 1.70 .1904 2 0.92 1.94 .1905 1 0.92 1.89 .1906 2 0.92 1.78 .1907 1 0.92 1.89 .1908 1 0.92 1.84 .1909 1 0.92 1.85 .1910 2 0.92 1.86 .1911 1 0.92 2.10 .1912 1 0.92 2.03 .1913 1 0.92 2.25 .1914 1 0.92 2.18 .1915 2 0.92 2.26 .1916 3 0.92 2.11 .1917 1 0.92 1.99 .1918 1 0.92 1.97 .1919 1 0.92 2.01 .1920 1 0.92 2.11 .1921 3 0.92 2.09 .1922 2 0.92 2.07 .1923 2 0.92 1.99 .1924 3 0.92 2.04 .1925 1 0.92 1.91 .1926 2 0.92 1.90 .1927 2 0.92 1.99 .1928 2 0.92 2.00 .1929 3 0.92 1.98 .1930 3 0.92 2.26 .1931 2 0.92 2.03 .1932 2 0.92 1.97 .1933 2 0.92 1.95 .1934 2 0.92 2.07 .1935 3 0.92 2.10 .1936 2 0.92 2.25 .1937 2 0.92 2.33 .1938 1 0.92 2.02 .1939 3 0.92 2.00 .1940 3 0.92 1.92 .1941 4 0.92 2.24 .1942 5 0.92 2.15 .1943 5 0.92 2.00 .1944 5 0.92 2.04 .1945 4 0.92 2.24 .1946 5 0.92 2.03 .1947 4 0.92 1.94 .1948 1 0.92 2.23 .1949 2 0.92 2.13 .1950 1 0.92 2.13 .1951 1 0.92 2.23 .1952 2 0.92 2.24 .1953 1 0.92 2.11 .1954 2 0.92 2.12 .1955 1 0.92 2.15 .1956 1 0.92 2.03 .1957 1 0.92 2.31 .1958 3 0.92 2.04 .1959 2 0.92 2.13 .1960 1 0.92 2.19 .1961 2 0.92 2.12 .1962 2 0.92 1.91 .1963 2 0.92 1.99 .1964 3 0.92 2.05 .1965 3 0.92 1.91 .1966 2 0.92 1.74 .1967 2 0.93 1.95 .1968 2 0.93 1.94 .1969 2 0.93 1.95 .1970 1 0.93 1.80 .1971 1 0.93 1.73 .1972 3 0.93 1.90 .1973 3 0.93 1.83 .1974 2 0.93 1.84 .1975 3 0.93 1.91 .1976 2 0.93 2.12 .1977 3 0.93 1.85 .1978 3 0.93 2.17 .1979 3 0.93 1.82 .1980 3 0.93 1.92 .1981 1 0.93 1.91 .1982 2 0.93 2.15 .1983 2 0.93 1.90 .1984 1 0.93 1.85 .1985 2 0.93 1.88 .1986 1 0.93 1.80 .1987 1 0.93 1.87 .1988 1 0.93 1.79 .1989 3 0.93 1.96 .1990 2 0.93 2.04 .1991 1 0.93 1.88 .1992 1 0.93 1.88 .1993 3 0.93 2.08 .1994 3 0.93 2.11 .1995 5 0.93 2.01 .1996 4 0.93 2.16 .1997 3 0.93 2.19 .1998 2 0.93 2.11 .1999 3 0.93 2.04 .2000 2 0.93 2.03 .2001 3 0.93 2.14 .2002 2 0.93 2.29 .2003 2 0.93 2.04 .2004 4 0.93 2.21 .2005 5 0.93 2.30 .2006 2 0.93 2.25 .2007 3 0.93 2.06 .2008 2 0.93 2.07 .2009 2 0.93 1.97 .2010 1 0.93 1.99 .2011 1 0.93 1.95 .2012 2 0.93 2.00 .2013 3 0.93 1.99 .2014 3 0.93 1.92 .2015 1 0.93 1.79 .2016 2 0.93 1.80 .2017 3 0.93 1.81 .2018 3 0.93 1.78 .2019 1 0.93 1.78 .2020 1 0.93 2.04 .2021 3 0.93 1.81 .2022 1 0.93 1.71 .2023 2 0.93 1.88 .2024 1 0.93 1.66 .2025 3 0.93 1.66 .2026 1 0.93 1.73 .2027 3 0.93 1.74 .2028 3 0.93 1.58 .2029 2 0.93 1.60 .2030 1 0.93 1.64 .2031 2 0.93 1.74 .2032 3 0.93 1.68 .2033 2 0.93 1.61 .2034 2 0.93 1.64 .2035 1 0.93 1.74 .2036 2 0.93 1.68 .2037 3 0.93 1.61 .2038 2 0.93 1.65 .2039 2 0.93 1.66 .2040 1 0.94 1.66 .2041 1 0.94 1.58 .2042 1 0.94 1.59 .2043 1 0.94 1.75 .2044 2 0.94 1.71 .2045 3 0.94 1.74 .2046 3 0.94 1.67 .2047 1 0.94 1.81 EXTRACT_IMAGE: sdR-b2-00034753.fit: masked 2631 pixels EXTRACT_OBJECT: sdR-b2-00034753.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034753.fit: WARNING: Scattered light median = 28.7267 electrons QAPLOT_SCATLIGHT: sdR-b2-00034753.fit: WARNING: Scattered light max = 44.6086 electrons EXTRACT_OBJECT: sdR-b2-00034753.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034753.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034753.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034753.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.05 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.01 0.05 Step 14 of 2080 0.62 64 0.01 0.12 Step 18 of 2080 0.61 64 0.02 0.12 Step 22 of 2080 0.61 64 0.01 0.11 Step 26 of 2080 0.61 64 0.01 0.12 Step 30 of 2080 0.61 64 0.01 0.11 Step 34 of 2080 0.61 64 0.01 0.12 Step 38 of 2080 0.61 64 0.01 0.11 Step 42 of 2080 0.61 64 0.01 0.13 Step 46 of 2080 0.61 64 0.01 0.11 Step 50 of 2080 0.61 64 0.01 0.11 Step 54 of 2080 0.61 64 0.01 0.11 Step 58 of 2080 0.61 64 0.01 0.11 Step 62 of 2080 0.61 64 0.02 0.11 Step 66 of 2080 0.61 64 0.01 0.11 Step 70 of 2080 0.61 64 0.01 0.11 Step 74 of 2080 0.61 64 0.01 0.11 Step 78 of 2080 0.61 64 0.01 0.11 Step 82 of 2080 0.61 64 0.01 0.11 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.61 64 0.02 0.11 Step 94 of 2080 0.61 64 0.02 0.12 Step 98 of 2080 0.60 64 0.02 0.11 Step 102 of 2080 0.60 64 0.02 0.11 Step 106 of 2080 0.60 64 0.03 0.12 Step 110 of 2080 0.60 64 0.02 0.11 Step 114 of 2080 0.60 64 0.02 0.11 Step 118 of 2080 0.60 64 0.02 0.11 Step 122 of 2080 0.60 64 0.02 0.12 Step 126 of 2080 0.60 64 0.02 0.10 Step 130 of 2080 0.60 64 0.02 0.11 Step 134 of 2080 0.60 64 0.02 0.11 Step 138 of 2080 0.60 64 0.02 0.10 Step 142 of 2080 0.60 64 0.02 0.10 Step 146 of 2080 0.60 64 0.03 0.12 Step 150 of 2080 0.60 64 0.03 0.13 Step 154 of 2080 0.60 64 0.03 0.11 Step 158 of 2080 0.60 64 0.03 0.12 Step 162 of 2080 0.60 64 0.03 0.13 Step 166 of 2080 0.60 64 0.03 0.12 Step 170 of 2080 0.60 64 0.02 0.12 Step 174 of 2080 0.60 64 0.03 0.12 Step 178 of 2080 0.59 64 0.03 0.12 Step 182 of 2080 0.59 64 0.04 0.14 Step 186 of 2080 0.59 64 0.05 0.15 Step 190 of 2080 0.59 64 0.05 0.16 Step 194 of 2080 0.59 64 0.04 0.12 Step 198 of 2080 0.59 64 0.05 0.13 Step 202 of 2080 0.59 64 0.04 0.14 Step 206 of 2080 0.59 64 0.02 0.11 Step 210 of 2080 0.59 64 0.02 0.12 Step 214 of 2080 0.59 64 0.02 0.11 Step 218 of 2080 0.59 64 0.02 0.11 Step 222 of 2080 0.59 64 0.02 0.11 Step 226 of 2080 0.59 64 0.02 0.11 Step 230 of 2080 0.59 64 0.02 0.12 Step 234 of 2080 0.59 64 0.02 0.13 Step 238 of 2080 0.59 64 0.02 0.13 Step 242 of 2080 0.59 64 0.02 0.12 Step 246 of 2080 0.59 64 0.02 0.13 Step 250 of 2080 0.59 64 0.02 0.11 Step 254 of 2080 0.59 64 0.02 0.12 Step 258 of 2080 0.58 64 0.02 0.11 Step 262 of 2080 0.58 64 0.02 0.11 Step 266 of 2080 0.58 64 0.02 0.11 Step 270 of 2080 0.58 64 0.02 0.11 Step 274 of 2080 0.58 64 0.02 0.11 Step 278 of 2080 0.58 64 0.03 0.11 Step 282 of 2080 0.58 64 0.03 0.13 Step 286 of 2080 0.58 64 0.03 0.12 Step 290 of 2080 0.58 64 0.03 0.12 Step 294 of 2080 0.58 64 0.03 0.13 Step 298 of 2080 0.58 64 0.03 0.12 Step 302 of 2080 0.58 64 0.03 0.12 Step 306 of 2080 0.58 64 0.03 0.12 Step 310 of 2080 0.58 64 0.03 0.13 Step 314 of 2080 0.58 64 0.03 0.12 Step 318 of 2080 0.58 64 0.03 0.12 Step 322 of 2080 0.58 64 0.03 0.14 Step 326 of 2080 0.58 64 0.02 0.12 Step 330 of 2080 0.58 64 0.02 0.13 Step 334 of 2080 0.58 64 0.02 0.12 Step 338 of 2080 0.57 64 0.03 0.13 Step 342 of 2080 0.57 64 0.03 0.12 Step 346 of 2080 0.57 64 0.03 0.13 Step 350 of 2080 0.57 64 0.03 0.14 Step 354 of 2080 0.57 64 0.03 0.15 Step 358 of 2080 0.57 64 0.03 0.14 Step 362 of 2080 0.57 64 0.03 0.13 Step 366 of 2080 0.57 64 0.03 0.12 Step 370 of 2080 0.57 64 0.02 0.12 Step 374 of 2080 0.57 64 0.03 0.11 Step 378 of 2080 0.57 64 0.03 0.12 Step 382 of 2080 0.57 64 0.03 0.12 Step 386 of 2080 0.57 64 0.03 0.11 Step 390 of 2080 0.57 64 0.03 0.11 Step 394 of 2080 0.57 64 0.03 0.11 Step 398 of 2080 0.57 64 0.02 0.11 Step 402 of 2080 0.57 64 0.02 0.12 Step 406 of 2080 0.57 64 0.02 0.11 Step 410 of 2080 0.57 64 0.02 0.11 Step 414 of 2080 0.57 64 0.02 0.11 Step 418 of 2080 0.57 64 0.03 0.12 Step 422 of 2080 0.56 64 0.03 0.12 Step 426 of 2080 0.56 64 0.03 0.11 Step 430 of 2080 0.56 64 0.03 0.12 Step 434 of 2080 0.56 64 0.03 0.13 Step 438 of 2080 0.56 64 0.02 0.12 Step 442 of 2080 0.56 64 0.02 0.13 Step 446 of 2080 0.56 64 0.02 0.10 Step 450 of 2080 0.56 64 0.02 0.11 Step 454 of 2080 0.56 64 0.02 0.12 Step 458 of 2080 0.56 64 0.02 0.11 Step 462 of 2080 0.56 64 0.03 0.11 Step 466 of 2080 0.56 64 0.03 0.11 Step 470 of 2080 0.56 64 0.03 0.12 Step 474 of 2080 0.56 64 0.02 0.12 Step 478 of 2080 0.56 64 0.03 0.12 Step 482 of 2080 0.56 64 0.03 0.12 Step 486 of 2080 0.56 64 0.02 0.11 Step 490 of 2080 0.56 64 0.03 0.11 Step 494 of 2080 0.56 64 0.02 0.12 Step 498 of 2080 0.56 64 0.02 0.11 Step 502 of 2080 0.55 64 0.02 0.12 Step 506 of 2080 0.55 64 0.02 0.11 Step 510 of 2080 0.55 64 0.02 0.13 Step 514 of 2080 0.55 64 0.03 0.12 Step 518 of 2080 0.55 64 0.02 0.11 Step 522 of 2080 0.55 64 0.03 0.12 Step 526 of 2080 0.55 64 0.03 0.12 Step 530 of 2080 0.55 64 0.02 0.12 Step 534 of 2080 0.55 64 0.03 0.11 Step 538 of 2080 0.55 64 0.02 0.11 Step 542 of 2080 0.55 64 0.03 0.12 Step 546 of 2080 0.55 64 0.02 0.11 Step 550 of 2080 0.55 64 0.03 0.11 Step 554 of 2080 0.55 64 0.03 0.11 Step 558 of 2080 0.55 64 0.02 0.11 Step 562 of 2080 0.55 64 0.03 0.12 Step 566 of 2080 0.55 64 0.04 0.13 Step 570 of 2080 0.55 64 0.03 0.12 Step 574 of 2080 0.55 64 0.03 0.11 Step 578 of 2080 0.55 64 0.04 0.13 Step 582 of 2080 0.54 64 0.04 0.13 Step 586 of 2080 0.54 64 0.03 0.13 Step 590 of 2080 0.54 64 0.03 0.14 Step 594 of 2080 0.54 64 0.02 0.12 Step 598 of 2080 0.54 64 0.02 0.11 Step 602 of 2080 0.54 64 0.02 0.12 Step 606 of 2080 0.54 64 0.02 0.11 Step 610 of 2080 0.54 64 0.02 0.13 Step 614 of 2080 0.54 64 0.02 0.11 Step 618 of 2080 0.54 64 0.02 0.13 Step 622 of 2080 0.54 64 0.02 0.12 Step 626 of 2080 0.54 64 0.02 0.13 Step 630 of 2080 0.54 64 0.02 0.13 Step 634 of 2080 0.54 64 0.02 0.14 Step 638 of 2080 0.54 64 0.03 0.12 Step 642 of 2080 0.54 64 0.03 0.13 Step 646 of 2080 0.54 64 0.03 0.13 Step 650 of 2080 0.54 64 0.03 0.13 Step 654 of 2080 0.54 64 0.03 0.13 Step 658 of 2080 0.54 64 0.03 0.12 Step 662 of 2080 0.54 64 0.03 0.12 Step 666 of 2080 0.53 64 0.03 0.11 Step 670 of 2080 0.53 64 0.03 0.11 Step 674 of 2080 0.53 64 0.03 0.12 Step 678 of 2080 0.53 64 0.03 0.12 Step 682 of 2080 0.53 64 0.03 0.12 Step 686 of 2080 0.53 64 0.03 0.11 Step 690 of 2080 0.53 64 0.04 0.12 Step 694 of 2080 0.53 64 0.04 0.13 Step 698 of 2080 0.53 64 0.03 0.15 Step 702 of 2080 0.53 64 0.04 0.12 Step 706 of 2080 0.53 64 0.04 0.12 Step 710 of 2080 0.53 64 0.04 0.13 Step 714 of 2080 0.53 64 0.03 0.12 Step 718 of 2080 0.53 64 0.03 0.12 Step 722 of 2080 0.53 64 0.03 0.15 Step 726 of 2080 0.53 64 0.04 0.12 Step 730 of 2080 0.53 64 0.03 0.12 Step 734 of 2080 0.53 64 0.03 0.11 Step 738 of 2080 0.53 64 0.03 0.13 Step 742 of 2080 0.53 64 0.03 0.13 Step 746 of 2080 0.53 64 0.04 0.14 Step 750 of 2080 0.52 64 0.04 0.13 Step 754 of 2080 0.52 64 0.03 0.13 Step 758 of 2080 0.52 64 0.03 0.12 Step 762 of 2080 0.52 64 0.04 0.12 Step 766 of 2080 0.52 64 0.03 0.14 Step 770 of 2080 0.52 64 0.04 0.14 Step 774 of 2080 0.52 64 0.03 0.13 Step 778 of 2080 0.52 64 0.03 0.11 Step 782 of 2080 0.52 64 0.03 0.12 Step 786 of 2080 0.52 64 0.03 0.12 Step 790 of 2080 0.52 64 0.03 0.11 Step 794 of 2080 0.52 64 0.03 0.12 Step 798 of 2080 0.52 64 0.03 0.11 Step 802 of 2080 0.52 64 0.03 0.12 Step 806 of 2080 0.52 64 0.03 0.12 Step 810 of 2080 0.52 64 0.03 0.12 Step 814 of 2080 0.52 64 0.03 0.12 Step 818 of 2080 0.52 64 0.03 0.13 Step 822 of 2080 0.52 64 0.03 0.13 Step 826 of 2080 0.52 64 0.03 0.13 Step 830 of 2080 0.52 64 0.04 0.13 Step 834 of 2080 0.51 64 0.03 0.11 Step 838 of 2080 0.51 64 0.03 0.11 Step 842 of 2080 0.51 64 0.03 0.13 Step 846 of 2080 0.51 64 0.03 0.12 Step 850 of 2080 0.51 64 0.03 0.12 Step 854 of 2080 0.51 64 0.03 0.12 Step 858 of 2080 0.51 64 0.03 0.13 Step 862 of 2080 0.51 64 0.04 0.13 Step 866 of 2080 0.51 64 0.03 0.12 Step 870 of 2080 0.51 64 0.03 0.12 Step 874 of 2080 0.51 64 0.04 0.12 Step 878 of 2080 0.51 64 0.04 0.13 Step 882 of 2080 0.51 64 0.03 0.13 Step 886 of 2080 0.51 64 0.03 0.12 Step 890 of 2080 0.51 64 0.03 0.14 Step 894 of 2080 0.51 64 0.05 0.14 Step 898 of 2080 0.51 64 0.04 0.12 Step 902 of 2080 0.51 64 0.03 0.12 Step 906 of 2080 0.51 64 0.03 0.13 Step 910 of 2080 0.51 64 0.04 0.13 Step 914 of 2080 0.51 64 0.04 0.14 Step 918 of 2080 0.50 64 0.03 0.12 Step 922 of 2080 0.50 64 0.03 0.11 Step 926 of 2080 0.50 64 0.03 0.12 Step 930 of 2080 0.50 64 0.04 0.12 Step 934 of 2080 0.50 64 0.03 0.11 Step 938 of 2080 0.50 64 0.03 0.12 Step 942 of 2080 0.50 64 0.03 0.15 Step 946 of 2080 0.50 64 0.04 0.18 Step 950 of 2080 0.50 64 0.03 0.13 Step 954 of 2080 0.50 64 0.03 0.12 Step 958 of 2080 0.50 64 0.03 0.12 Step 962 of 2080 0.50 64 0.03 0.12 Step 966 of 2080 0.50 64 0.04 0.13 Step 970 of 2080 0.50 64 0.03 0.12 Step 974 of 2080 0.50 64 0.03 0.11 Step 978 of 2080 0.50 64 0.03 0.12 Step 982 of 2080 0.50 64 0.03 0.13 Step 986 of 2080 0.50 64 0.03 0.12 Step 990 of 2080 0.50 64 0.03 0.12 Step 994 of 2080 0.50 64 0.03 0.13 Step 998 of 2080 0.50 64 0.03 0.13 Step 1002 of 2080 0.49 64 0.04 0.15 Step 1006 of 2080 0.49 64 0.04 0.13 Step 1010 of 2080 0.49 64 0.03 0.12 Step 1014 of 2080 0.49 64 0.03 0.11 Step 1018 of 2080 0.49 64 0.03 0.12 Step 1022 of 2080 0.49 64 0.03 0.13 Step 1026 of 2080 0.49 64 0.03 0.12 Step 1030 of 2080 0.49 64 0.03 0.13 Step 1034 of 2080 0.49 64 0.03 0.11 Step 1038 of 2080 0.49 64 0.03 0.12 Step 1042 of 2080 0.49 64 0.03 0.12 Step 1046 of 2080 0.49 64 0.03 0.12 Step 1050 of 2080 0.49 64 0.03 0.12 Step 1054 of 2080 0.49 64 0.03 0.13 Step 1058 of 2080 0.49 64 0.03 0.11 Step 1062 of 2080 0.49 64 0.03 0.11 Step 1066 of 2080 0.49 64 0.03 0.12 Step 1070 of 2080 0.49 64 0.03 0.12 Step 1074 of 2080 0.49 64 0.03 0.13 Step 1078 of 2080 0.49 64 0.03 0.12 Step 1082 of 2080 0.49 64 0.03 0.11 Step 1086 of 2080 0.48 64 0.03 0.11 Step 1090 of 2080 0.48 64 0.03 0.14 Step 1094 of 2080 0.48 64 0.03 0.12 Step 1098 of 2080 0.48 64 0.03 0.12 Step 1102 of 2080 0.48 64 0.02 0.12 Step 1106 of 2080 0.48 64 0.02 0.11 Step 1110 of 2080 0.48 64 0.03 0.12 Step 1114 of 2080 0.48 64 0.03 0.12 Step 1118 of 2080 0.48 64 0.03 0.13 Step 1122 of 2080 0.48 64 0.03 0.13 Step 1126 of 2080 0.48 64 0.03 0.12 Step 1130 of 2080 0.48 64 0.03 0.11 Step 1134 of 2080 0.48 64 0.03 0.13 Step 1138 of 2080 0.48 64 0.03 0.13 Step 1142 of 2080 0.48 64 0.02 0.12 Step 1146 of 2080 0.48 64 0.02 0.12 Step 1150 of 2080 0.48 64 0.02 0.12 Step 1154 of 2080 0.48 64 0.03 0.13 Step 1158 of 2080 0.48 64 0.02 0.12 Step 1162 of 2080 0.48 64 0.02 0.12 Step 1166 of 2080 0.48 64 0.02 0.11 Step 1170 of 2080 0.48 64 0.02 0.12 Step 1174 of 2080 0.47 64 0.03 0.12 Step 1178 of 2080 0.47 64 0.03 0.11 Step 1182 of 2080 0.47 64 0.02 0.11 Step 1186 of 2080 0.47 64 0.03 0.12 Step 1190 of 2080 0.47 64 0.03 0.13 Step 1194 of 2080 0.47 64 0.03 0.12 Step 1198 of 2080 0.47 64 0.03 0.11 Step 1202 of 2080 0.47 64 0.02 0.11 Step 1206 of 2080 0.47 64 0.02 0.12 Step 1210 of 2080 0.47 64 0.03 0.13 Step 1214 of 2080 0.47 64 0.03 0.11 Step 1218 of 2080 0.47 64 0.03 0.12 Step 1222 of 2080 0.47 64 0.03 0.12 Step 1226 of 2080 0.47 64 0.03 0.11 Step 1230 of 2080 0.47 64 0.02 0.11 Step 1234 of 2080 0.47 64 0.02 0.11 Step 1238 of 2080 0.47 64 0.02 0.11 Step 1242 of 2080 0.47 64 0.03 0.12 Step 1246 of 2080 0.47 64 0.03 0.13 Step 1250 of 2080 0.47 64 0.03 0.12 Step 1254 of 2080 0.47 64 0.03 0.13 Step 1258 of 2080 0.47 64 0.04 0.13 Step 1262 of 2080 0.46 64 0.03 0.13 Step 1266 of 2080 0.46 64 0.03 0.13 Step 1270 of 2080 0.46 64 0.04 0.12 Step 1274 of 2080 0.46 64 0.04 0.12 Step 1278 of 2080 0.46 64 0.04 0.12 Step 1282 of 2080 0.46 64 0.04 0.13 Step 1286 of 2080 0.46 64 0.03 0.13 Step 1290 of 2080 0.46 64 0.03 0.12 Step 1294 of 2080 0.46 64 0.03 0.12 Step 1298 of 2080 0.46 64 0.04 0.12 Step 1302 of 2080 0.46 64 0.04 0.13 Step 1306 of 2080 0.46 64 0.03 0.12 Step 1310 of 2080 0.46 64 0.03 0.12 Step 1314 of 2080 0.46 64 0.03 0.12 Step 1318 of 2080 0.46 64 0.03 0.13 Step 1322 of 2080 0.46 64 0.03 0.12 Step 1326 of 2080 0.46 64 0.03 0.12 Step 1330 of 2080 0.46 64 0.04 0.13 Step 1334 of 2080 0.46 64 0.03 0.11 Step 1338 of 2080 0.46 64 0.03 0.12 Step 1342 of 2080 0.46 64 0.04 0.12 Step 1346 of 2080 0.46 64 0.03 0.12 Step 1350 of 2080 0.45 64 0.02 0.12 Step 1354 of 2080 0.45 64 0.03 0.12 Step 1358 of 2080 0.45 64 0.03 0.12 Step 1362 of 2080 0.45 64 0.03 0.12 Step 1366 of 2080 0.45 64 0.03 0.12 Step 1370 of 2080 0.45 64 0.03 0.12 Step 1374 of 2080 0.45 64 0.02 0.11 Step 1378 of 2080 0.45 64 0.02 0.12 Step 1382 of 2080 0.45 64 0.02 0.11 Step 1386 of 2080 0.45 64 0.02 0.11 Step 1390 of 2080 0.45 64 0.02 0.11 Step 1394 of 2080 0.45 64 0.02 0.11 Step 1398 of 2080 0.45 64 0.02 0.12 Step 1402 of 2080 0.45 64 0.03 0.13 Step 1406 of 2080 0.45 64 0.03 0.12 Step 1410 of 2080 0.45 64 0.03 0.12 Step 1414 of 2080 0.45 64 0.03 0.12 Step 1418 of 2080 0.45 64 0.02 0.13 Step 1422 of 2080 0.45 64 0.03 0.13 Step 1426 of 2080 0.45 64 0.03 0.12 Step 1430 of 2080 0.45 64 0.03 0.12 Step 1434 of 2080 0.45 64 0.03 0.11 Step 1438 of 2080 0.44 64 0.03 0.12 Step 1442 of 2080 0.44 64 0.03 0.11 Step 1446 of 2080 0.44 64 0.03 0.12 Step 1450 of 2080 0.44 64 0.03 0.11 Step 1454 of 2080 0.44 64 0.03 0.12 Step 1458 of 2080 0.44 64 0.02 0.11 Step 1462 of 2080 0.44 64 0.03 0.14 Step 1466 of 2080 0.44 64 0.04 0.13 Step 1470 of 2080 0.44 64 0.03 0.12 Step 1474 of 2080 0.44 64 0.03 0.12 Step 1478 of 2080 0.44 64 0.03 0.12 Step 1482 of 2080 0.44 64 0.03 0.11 Step 1486 of 2080 0.44 64 0.03 0.12 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.03 0.13 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.03 0.14 Step 1506 of 2080 0.44 64 0.04 0.13 Step 1510 of 2080 0.44 64 0.03 0.13 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.03 0.12 Step 1522 of 2080 0.44 64 0.03 0.15 Step 1526 of 2080 0.44 64 0.03 0.12 Step 1530 of 2080 0.43 64 0.03 0.12 Step 1534 of 2080 0.43 64 0.03 0.11 Step 1538 of 2080 0.43 64 0.03 0.13 Step 1542 of 2080 0.43 64 0.03 0.12 Step 1546 of 2080 0.43 64 0.03 0.13 Step 1550 of 2080 0.43 64 0.02 0.12 Step 1554 of 2080 0.43 64 0.03 0.12 Step 1558 of 2080 0.43 64 0.03 0.12 Step 1562 of 2080 0.43 64 0.03 0.14 Step 1566 of 2080 0.43 64 0.02 0.12 Step 1570 of 2080 0.43 64 0.03 0.12 Step 1574 of 2080 0.43 64 0.03 0.11 Step 1578 of 2080 0.43 64 0.03 0.13 Step 1582 of 2080 0.43 64 0.03 0.12 Step 1586 of 2080 0.43 64 0.03 0.13 Step 1590 of 2080 0.43 64 0.03 0.13 Step 1594 of 2080 0.43 64 0.03 0.13 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.11 Step 1606 of 2080 0.43 64 0.02 0.12 Step 1610 of 2080 0.43 64 0.03 0.11 Step 1614 of 2080 0.43 64 0.03 0.11 Step 1618 of 2080 0.43 64 0.03 0.12 Step 1622 of 2080 0.42 64 0.03 0.12 Step 1626 of 2080 0.42 64 0.03 0.13 Step 1630 of 2080 0.42 64 0.03 0.13 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.03 0.13 Step 1642 of 2080 0.42 64 0.03 0.11 Step 1646 of 2080 0.42 64 0.03 0.13 Step 1650 of 2080 0.42 64 0.02 0.12 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.02 0.12 Step 1662 of 2080 0.42 64 0.02 0.11 Step 1666 of 2080 0.42 64 0.03 0.14 Step 1670 of 2080 0.42 64 0.03 0.12 Step 1674 of 2080 0.42 64 0.03 0.12 Step 1678 of 2080 0.42 64 0.03 0.13 Step 1682 of 2080 0.42 64 0.02 0.11 Step 1686 of 2080 0.42 64 0.02 0.12 Step 1690 of 2080 0.42 64 0.03 0.12 Step 1694 of 2080 0.42 64 0.03 0.13 Step 1698 of 2080 0.42 64 0.03 0.11 Step 1702 of 2080 0.42 64 0.02 0.12 Step 1706 of 2080 0.42 64 0.02 0.11 Step 1710 of 2080 0.42 64 0.03 0.13 Step 1714 of 2080 0.42 64 0.02 0.15 Step 1718 of 2080 0.41 64 0.04 0.13 Step 1722 of 2080 0.41 64 0.03 0.12 Step 1726 of 2080 0.41 64 0.03 0.13 Step 1730 of 2080 0.41 64 0.03 0.12 Step 1734 of 2080 0.41 64 0.03 0.11 Step 1738 of 2080 0.41 64 0.03 0.11 Step 1742 of 2080 0.41 64 0.03 0.12 Step 1746 of 2080 0.41 64 0.03 0.12 Step 1750 of 2080 0.41 64 0.03 0.14 Step 1754 of 2080 0.41 64 0.03 0.12 Step 1758 of 2080 0.41 64 0.03 0.13 Step 1762 of 2080 0.41 64 0.02 0.12 Step 1766 of 2080 0.41 64 0.03 0.13 Step 1770 of 2080 0.41 64 0.03 0.12 Step 1774 of 2080 0.41 64 0.02 0.12 Step 1778 of 2080 0.41 64 0.02 0.11 Step 1782 of 2080 0.41 64 0.03 0.12 Step 1786 of 2080 0.41 64 0.03 0.12 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.13 Step 1798 of 2080 0.41 64 0.03 0.14 Step 1802 of 2080 0.41 64 0.03 0.11 Step 1806 of 2080 0.41 64 0.03 0.11 Step 1810 of 2080 0.41 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.02 0.12 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.03 0.11 Step 1830 of 2080 0.40 64 0.03 0.11 Step 1834 of 2080 0.40 64 0.02 0.11 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.02 0.12 Step 1846 of 2080 0.40 64 0.03 0.12 Step 1850 of 2080 0.40 64 0.02 0.12 Step 1854 of 2080 0.40 64 0.03 0.12 Step 1858 of 2080 0.40 64 0.02 0.12 Step 1862 of 2080 0.40 64 0.02 0.11 Step 1866 of 2080 0.40 64 0.03 0.13 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.03 0.13 Step 1878 of 2080 0.40 64 0.02 0.13 Step 1882 of 2080 0.40 64 0.02 0.11 Step 1886 of 2080 0.40 64 0.02 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.12 Step 1898 of 2080 0.40 64 0.03 0.13 Step 1902 of 2080 0.40 64 0.03 0.12 Step 1906 of 2080 0.40 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.13 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.04 0.13 Step 1926 of 2080 0.39 64 0.03 0.12 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.04 0.12 Step 1938 of 2080 0.39 64 0.04 0.12 Step 1942 of 2080 0.39 64 0.04 0.13 Step 1946 of 2080 0.39 64 0.03 0.11 Step 1950 of 2080 0.39 64 0.03 0.13 Step 1954 of 2080 0.39 64 0.03 0.12 Step 1958 of 2080 0.39 64 0.03 0.13 Step 1962 of 2080 0.39 64 0.04 0.13 Step 1966 of 2080 0.39 64 0.03 0.13 Step 1970 of 2080 0.39 64 0.03 0.14 Step 1974 of 2080 0.39 64 0.03 0.11 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.02 0.11 Step 1998 of 2080 0.39 64 0.02 0.13 Step 2002 of 2080 0.39 64 0.02 0.12 Step 2006 of 2080 0.39 64 0.02 0.12 Step 2010 of 2080 0.38 64 0.02 0.11 Step 2014 of 2080 0.38 64 0.03 0.13 Step 2018 of 2080 0.38 64 0.02 0.12 Step 2022 of 2080 0.38 64 0.02 0.11 Step 2026 of 2080 0.38 64 0.02 0.11 Step 2030 of 2080 0.38 64 0.02 0.11 Step 2034 of 2080 0.38 64 0.02 0.12 Step 2038 of 2080 0.38 64 0.02 0.13 Step 2042 of 2080 0.38 64 0.02 0.11 Step 2046 of 2080 0.38 64 0.02 0.13 Step 2050 of 2080 0.38 64 0.02 0.11 Step 2054 of 2080 0.38 64 0.02 0.11 Step 2058 of 2080 0.38 64 0.02 0.11 Step 2062 of 2080 0.38 64 0.02 0.11 Step 2066 of 2080 0.38 64 0.02 0.11 Step 2070 of 2080 0.38 64 0.03 0.13 Step 2074 of 2080 0.38 64 0.03 0.12 Step 2078 of 2080 0.38 64 0.03 0.11 EXTRACT_OBJECT: sdR-b2-00034753.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.46 .0001 1 0.91 1.59 .0002 1 0.91 1.80 .0003 2 0.91 1.84 .0004 2 0.91 1.90 .0005 2 0.91 1.72 .0006 3 0.91 1.84 .0007 2 0.91 1.82 .0008 4 0.91 1.80 .0009 2 0.91 1.75 .0010 3 0.91 1.70 .0011 2 0.91 1.59 .0012 1 0.91 1.57 .0013 1 0.91 1.56 .0014 2 0.91 1.48 .0015 3 0.91 1.74 .0016 2 0.91 1.65 .0017 3 0.91 1.55 .0018 3 0.91 1.50 .0019 3 0.91 1.49 .0020 2 0.91 1.63 .0021 4 0.91 1.49 .0022 3 0.91 1.48 .0023 3 0.91 1.41 .0024 2 0.91 1.48 .0025 3 0.91 1.47 .0026 3 0.91 1.49 .0027 3 0.91 1.35 .0028 1 0.91 1.35 .0029 1 0.91 1.41 .0030 1 0.91 1.37 .0031 1 0.91 1.29 .0032 2 0.91 1.33 .0033 1 0.91 1.25 .0034 1 0.91 1.34 .0035 1 0.91 1.34 .0036 3 0.91 1.23 .0037 3 0.91 1.28 .0038 4 0.91 1.20 .0039 1 0.91 1.23 .0040 1 0.91 1.28 .0041 1 0.91 1.27 .0042 2 0.91 1.22 .0043 2 0.91 1.31 .0044 1 0.91 1.28 .0045 2 0.91 1.17 .0046 3 0.91 1.27 .0047 3 0.91 1.15 .0048 1 0.91 1.25 .0049 2 0.91 1.31 .0050 4 0.91 1.21 .0051 4 0.91 1.22 .0052 2 0.91 1.25 .0053 2 0.91 1.23 .0054 3 0.91 1.17 .0055 3 0.91 1.27 .0056 2 0.91 1.30 .0057 2 0.91 1.26 .0058 3 0.91 1.20 .0059 1 0.91 1.23 .0060 2 0.91 1.32 .0061 1 0.91 1.26 .0062 2 0.91 1.42 .0063 2 0.91 1.33 .0064 2 0.91 1.27 .0065 2 0.91 1.36 .0066 2 0.91 1.49 .0067 2 0.91 1.47 .0068 2 0.91 1.48 .0069 1 0.91 1.34 .0070 1 0.91 1.48 .0071 1 0.91 1.59 .0072 2 0.91 1.34 .0073 1 0.91 1.46 .0074 1 0.91 1.50 .0075 1 0.91 1.52 .0076 2 0.91 1.53 .0077 2 0.91 1.50 .0078 1 0.91 1.53 .0079 3 0.91 1.52 .0080 2 0.91 1.56 .0081 2 0.91 1.58 .0082 2 0.91 1.63 .0083 2 0.91 1.70 .0084 3 0.91 1.52 .0085 3 0.91 1.68 .0086 3 0.91 1.65 .0087 3 0.91 1.64 .0088 1 0.91 1.51 .0089 1 0.91 1.62 .0090 1 0.91 1.67 .0091 1 0.91 1.65 .0092 1 0.91 1.67 .0093 1 0.91 1.67 .0094 2 0.91 1.53 .0095 2 0.91 1.62 .0096 2 0.91 1.72 .0097 1 0.91 1.74 .0098 2 0.91 1.67 .0099 3 0.91 1.86 .0100 3 0.91 1.87 .0101 1 0.91 1.74 .0102 1 0.91 1.88 .0103 3 0.91 1.68 .0104 3 0.91 1.68 .0105 1 0.91 1.66 .0106 1 0.91 1.68 .0107 1 0.91 1.62 .0108 1 0.91 1.85 .0109 1 0.91 1.82 .0110 2 0.91 1.71 .0111 3 0.91 1.75 .0112 2 0.91 1.70 .0113 2 0.91 1.68 .0114 1 0.91 1.68 .0115 1 0.91 1.70 .0116 6 0.91 1.65 .0117 4 0.91 1.74 .0118 4 0.91 1.81 .0119 3 0.91 1.68 .0120 1 0.91 1.60 .0121 1 0.91 1.70 .0122 2 0.91 1.66 .0123 1 0.91 1.71 .0124 1 0.91 1.66 .0125 1 0.91 1.65 .0126 2 0.91 1.69 .0127 2 0.91 1.82 .0128 4 0.91 1.71 .0129 4 0.91 1.84 .0130 3 0.91 1.81 .0131 2 0.91 1.70 .0132 4 0.91 1.72 .0133 5 0.91 1.82 .0134 4 0.91 1.90 .0135 3 0.91 1.70 .0136 3 0.91 1.67 .0137 4 0.91 1.61 .0138 3 0.91 1.85 .0139 5 0.91 1.90 .0140 3 0.91 1.81 .0141 1 0.91 1.78 .0142 2 0.91 1.76 .0143 2 0.91 1.64 .0144 2 0.91 1.75 .0145 2 0.91 1.72 .0146 1 0.91 1.76 .0147 2 0.91 1.58 .0148 2 0.91 1.72 .0149 3 0.91 1.71 .0150 1 0.91 1.64 .0151 1 0.91 1.61 .0152 3 0.91 1.64 .0153 4 0.91 1.76 .0154 2 0.91 1.69 .0155 4 0.91 1.71 .0156 3 0.91 1.73 .0157 3 0.91 1.64 .0158 3 0.91 1.65 .0159 4 0.91 1.86 .0160 1 0.91 1.72 .0161 1 0.91 1.66 .0162 2 0.91 1.68 .0163 1 0.91 1.83 .0164 1 0.91 1.80 .0165 3 0.91 1.64 .0166 3 0.91 1.69 .0167 3 0.91 1.73 .0168 2 0.92 1.62 .0169 2 0.92 1.76 .0170 3 0.92 1.80 .0171 1 0.92 1.70 .0172 1 0.92 1.61 .0173 2 0.92 1.71 .0174 2 0.92 1.70 .0175 1 0.92 1.88 .0176 1 0.92 1.67 .0177 1 0.92 1.66 .0178 2 0.92 1.78 .0179 4 0.92 1.73 .0180 5 0.92 1.71 .0181 3 0.92 1.64 .0182 3 0.92 1.73 .0183 2 0.92 1.60 .0184 2 0.92 1.54 .0185 2 0.92 1.72 .0186 2 0.92 1.81 .0187 2 0.92 1.82 .0188 2 0.92 1.68 .0189 2 0.92 1.63 .0190 1 0.92 1.73 .0191 4 0.92 1.75 .0192 4 0.92 1.81 .0193 3 0.92 1.83 .0194 2 0.92 1.75 .0195 1 0.92 1.73 .0196 1 0.92 1.71 .0197 3 0.92 1.77 .0198 3 0.92 1.76 .0199 4 0.92 1.94 .0200 4 0.92 1.64 .0201 1 0.92 1.67 .0202 1 0.92 1.69 .0203 2 0.92 1.74 .0204 4 0.92 1.60 .0205 4 0.92 1.79 .0206 4 0.92 1.84 .0207 6 0.92 1.70 .0208 2 0.92 1.88 .0209 2 0.92 1.77 .0210 3 0.92 1.82 .0211 2 0.92 1.85 .0212 2 0.92 1.74 .0213 2 0.92 1.75 .0214 4 0.92 1.69 .0215 3 0.92 1.84 .0216 2 0.92 1.74 .0217 1 0.92 1.73 .0218 1 0.92 1.53 .0219 1 0.92 1.74 .0220 1 0.92 1.74 .0221 2 0.92 1.69 .0222 2 0.92 1.52 .0223 2 0.92 1.57 .0224 3 0.92 1.70 .0225 3 0.92 1.66 .0226 1 0.92 1.72 .0227 2 0.92 1.84 .0228 3 0.92 1.77 .0229 2 0.92 1.69 .0230 2 0.92 1.85 .0231 2 0.92 1.81 .0232 2 0.92 1.83 .0233 2 0.92 1.90 .0234 1 0.92 1.70 .0235 3 0.92 1.81 .0236 2 0.92 1.82 .0237 1 0.92 1.87 .0238 1 0.92 1.73 .0239 4 0.92 1.74 .0240 4 0.92 1.68 .0241 1 0.92 1.92 .0242 1 0.92 1.80 .0243 3 0.92 1.81 .0244 2 0.92 1.75 .0245 2 0.92 1.77 .0246 3 0.92 1.90 .0247 2 0.92 1.84 .0248 2 0.92 1.83 .0249 1 0.92 1.82 .0250 1 0.92 1.76 .0251 1 0.92 1.84 .0252 1 0.92 1.88 .0253 5 0.92 1.79 .0254 3 0.92 1.82 .0255 3 0.92 1.74 .0256 3 0.92 1.82 .0257 2 0.92 1.73 .0258 1 0.92 2.09 .0259 2 0.92 1.85 .0260 5 0.92 1.90 .0261 3 0.92 1.86 .0262 1 0.92 1.72 .0263 1 0.92 1.87 .0264 2 0.92 1.83 .0265 3 0.92 2.02 .0266 3 0.92 2.12 .0267 4 0.92 2.00 .0268 3 0.92 1.87 .0269 2 0.92 1.89 .0270 1 0.92 2.04 .0271 4 0.92 2.08 .0272 2 0.92 2.12 .0273 3 0.92 1.98 .0274 1 0.92 1.85 .0275 1 0.92 1.93 .0276 1 0.92 1.98 .0277 1 0.92 1.86 .0278 2 0.92 2.12 .0279 4 0.92 2.09 .0280 1 0.92 1.98 .0281 1 0.92 2.07 .0282 3 0.92 2.03 .0283 3 0.92 1.98 .0284 2 0.92 2.04 .0285 2 0.92 2.27 .0286 4 0.92 2.09 .0287 2 0.92 2.17 .0288 1 0.92 1.98 .0289 1 0.92 2.01 .0290 1 0.92 2.04 .0291 1 0.92 1.96 .0292 2 0.92 2.01 .0293 2 0.92 2.17 .0294 2 0.92 2.22 .0295 2 0.92 2.13 .0296 2 0.92 2.08 .0297 1 0.92 2.05 .0298 1 0.92 2.03 .0299 1 0.92 2.22 .0300 3 0.92 1.99 .0301 2 0.92 2.11 .0302 1 0.92 2.13 .0303 1 0.92 2.08 .0304 1 0.92 2.03 .0305 1 0.92 2.17 .0306 1 0.92 2.10 .0307 1 0.92 2.02 .0308 1 0.92 1.95 .0309 1 0.92 2.20 .0310 1 0.92 2.01 .0311 1 0.92 2.08 .0312 2 0.92 2.05 .0313 4 0.92 2.18 .0314 2 0.92 2.44 .0315 1 0.92 2.31 .0316 2 0.92 2.12 .0317 2 0.92 2.08 .0318 3 0.92 2.14 .0319 2 0.92 2.04 .0320 1 0.92 2.17 .0321 4 0.92 2.05 .0322 3 0.92 2.14 .0323 2 0.92 2.13 .0324 2 0.92 2.05 .0325 2 0.92 2.11 .0326 1 0.92 2.38 .0327 3 0.92 2.08 .0328 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sdR-b2-00034753.fit: masked 2686 pixels EXTRACT_OBJECT: sdR-b2-00034753.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034753.fit: Scattered light median = 3.53783 electrons QAPLOT_SCATLIGHT: sdR-b2-00034753.fit: WARNING: Scattered light max = 40.1003 electrons EXTRACT_OBJECT: sdR-b2-00034753.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.95 .0001 1 0.91 1.84 .0002 1 0.91 1.95 .0003 3 0.91 1.86 .0004 4 0.91 1.94 .0005 3 0.91 1.77 .0006 3 0.91 1.95 .0007 3 0.91 1.80 .0008 4 0.91 1.77 .0009 3 0.91 1.79 .0010 3 0.91 1.78 .0011 3 0.91 1.65 .0012 1 0.91 1.65 .0013 1 0.91 1.67 .0014 2 0.91 1.53 .0015 3 0.91 1.77 .0016 2 0.91 1.66 .0017 4 0.91 1.54 .0018 5 0.91 1.53 .0019 3 0.91 1.48 .0020 3 0.91 1.67 .0021 3 0.91 1.53 .0022 3 0.91 1.52 .0023 3 0.91 1.48 .0024 2 0.91 1.47 .0025 4 0.91 1.50 .0026 3 0.91 1.49 .0027 3 0.91 1.39 .0028 1 0.91 1.36 .0029 1 0.91 1.47 .0030 1 0.91 1.39 .0031 1 0.91 1.30 .0032 3 0.91 1.36 .0033 1 0.91 1.26 .0034 1 0.91 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1 0.91 1.68 .1534 2 0.91 1.70 .1535 1 0.91 1.47 .1536 2 0.91 1.56 .1537 3 0.91 1.58 .1538 1 0.91 1.68 .1539 1 0.91 1.65 .1540 1 0.91 1.67 .1541 1 0.91 1.64 .1542 1 0.91 1.76 .1543 2 0.91 1.60 .1544 1 0.91 1.72 .1545 1 0.91 1.73 .1546 1 0.91 1.57 .1547 1 0.91 1.65 .1548 2 0.91 1.67 .1549 3 0.91 1.64 .1550 2 0.91 1.72 .1551 2 0.91 1.79 .1552 4 0.91 1.93 .1553 2 0.91 1.80 .1554 1 0.91 1.74 .1555 2 0.91 1.85 .1556 1 0.91 1.78 .1557 1 0.91 1.87 .1558 2 0.91 1.86 .1559 1 0.91 1.85 .1560 1 0.91 1.74 .1561 1 0.91 1.73 .1562 2 0.91 1.82 .1563 4 0.91 1.81 .1564 2 0.91 1.80 .1565 4 0.91 1.73 .1566 3 0.91 1.83 .1567 3 0.91 1.80 .1568 2 0.91 1.80 .1569 3 0.91 1.72 .1570 3 0.91 1.73 .1571 2 0.91 1.86 .1572 2 0.91 1.82 .1573 1 0.91 1.88 .1574 3 0.91 1.76 .1575 5 0.91 1.77 .1576 2 0.91 1.92 .1577 3 0.91 1.93 .1578 3 0.91 1.84 .1579 1 0.91 1.73 .1580 1 0.91 1.76 .1581 5 0.91 1.88 .1582 2 0.91 1.76 .1583 1 0.91 1.78 .1584 3 0.91 1.65 .1585 3 0.91 1.91 .1586 2 0.91 1.80 .1587 2 0.91 1.86 .1588 1 0.91 1.83 .1589 3 0.91 1.86 .1590 2 0.91 1.94 .1591 2 0.91 1.76 .1592 3 0.91 1.84 .1593 4 0.91 1.84 .1594 3 0.91 1.93 .1595 1 0.91 1.92 .1596 2 0.91 1.94 .1597 4 0.91 1.71 .1598 3 0.91 1.85 .1599 1 0.91 1.80 .1600 4 0.91 1.88 .1601 2 0.91 1.90 .1602 2 0.91 1.98 .1603 6 0.91 1.84 .1604 3 0.91 1.88 .1605 4 0.91 1.87 .1606 2 0.91 2.06 .1607 2 0.91 1.93 .1608 3 0.91 1.90 .1609 2 0.91 1.97 .1610 5 0.91 1.92 .1611 3 0.91 1.99 .1612 3 0.91 1.93 .1613 2 0.91 2.00 .1614 1 0.91 1.99 .1615 1 0.91 1.93 .1616 2 0.91 1.88 .1617 2 0.91 1.93 .1618 2 0.91 1.97 .1619 3 0.91 1.96 .1620 3 0.91 1.94 .1621 1 0.91 1.88 .1622 1 0.91 1.93 .1623 3 0.91 1.82 .1624 3 0.91 1.96 .1625 1 0.91 1.93 .1626 2 0.91 1.87 .1627 2 0.91 1.88 .1628 3 0.91 1.81 .1629 2 0.91 1.92 .1630 1 0.91 2.03 .1631 3 0.91 1.90 .1632 3 0.91 1.80 .1633 3 0.91 1.82 .1634 2 0.91 1.98 .1635 2 0.91 1.90 .1636 4 0.91 1.93 .1637 3 0.91 2.09 .1638 3 0.91 1.83 .1639 3 0.91 1.90 .1640 4 0.91 1.91 .1641 2 0.91 1.95 .1642 1 0.91 1.89 .1643 2 0.91 2.01 .1644 2 0.91 1.98 .1645 1 0.91 1.96 .1646 1 0.91 1.95 .1647 1 0.91 2.06 .1648 1 0.91 1.91 .1649 2 0.91 1.84 .1650 3 0.91 1.85 .1651 2 0.91 1.94 .1652 1 0.91 1.92 .1653 2 0.91 2.00 .1654 5 0.91 1.92 .1655 2 0.91 2.01 .1656 2 0.91 2.06 .1657 2 0.91 1.98 .1658 1 0.91 1.87 .1659 2 0.91 1.94 .1660 2 0.91 1.87 .1661 2 0.91 1.99 .1662 1 0.91 1.96 .1663 1 0.91 1.92 .1664 2 0.91 1.96 .1665 1 0.91 1.79 .1666 1 0.91 1.85 .1667 1 0.91 2.00 .1668 2 0.91 1.93 .1669 3 0.91 1.99 .1670 1 0.91 2.04 .1671 4 0.91 1.97 .1672 3 0.91 2.00 .1673 1 0.91 2.03 .1674 1 0.91 2.01 .1675 1 0.91 1.97 .1676 3 0.91 1.83 .1677 3 0.91 2.01 .1678 4 0.91 1.91 .1679 3 0.91 1.91 .1680 3 0.91 1.91 .1681 2 0.91 1.96 .1682 2 0.91 2.13 .1683 1 0.91 2.03 .1684 2 0.91 1.91 .1685 2 0.91 1.95 .1686 1 0.91 1.91 .1687 1 0.91 2.01 .1688 2 0.91 2.00 .1689 2 0.91 1.86 .1690 2 0.91 1.95 .1691 2 0.91 1.99 .1692 4 0.91 2.01 .1693 4 0.91 1.96 .1694 3 0.91 1.99 .1695 3 0.91 1.94 .1696 2 0.91 2.04 .1697 2 0.91 2.17 .1698 2 0.91 2.06 .1699 3 0.91 2.16 .1700 3 0.91 2.07 .1701 3 0.91 1.99 .1702 1 0.91 1.98 .1703 1 0.91 2.02 .1704 2 0.91 1.99 .1705 2 0.91 2.09 .1706 2 0.91 2.03 .1707 3 0.91 2.05 .1708 2 0.91 2.02 .1709 2 0.91 2.04 .1710 2 0.91 2.02 .1711 2 0.91 1.92 .1712 1 0.91 2.10 .1713 1 0.91 2.05 .1714 1 0.91 2.00 .1715 3 0.91 2.19 .1716 4 0.91 2.10 .1717 1 0.91 2.06 .1718 5 0.91 2.02 .1719 2 0.91 2.18 .1720 3 0.91 2.02 .1721 3 0.91 2.14 .1722 1 0.91 2.01 .1723 2 0.91 2.16 .1724 2 0.91 2.07 .1725 4 0.91 1.98 .1726 1 0.91 2.07 .1727 2 0.91 1.87 .1728 1 0.91 1.92 .1729 1 0.91 2.08 .1730 3 0.91 1.97 .1731 3 0.91 2.03 .1732 3 0.91 2.10 .1733 3 0.91 2.06 .1734 2 0.91 2.12 .1735 2 0.91 2.01 .1736 1 0.91 2.06 .1737 4 0.91 2.02 .1738 3 0.91 2.05 .1739 2 0.91 2.10 .1740 3 0.91 1.97 .1741 4 0.91 1.94 .1742 2 0.91 1.99 .1743 2 0.91 2.19 .1744 3 0.91 2.12 .1745 4 0.91 1.97 .1746 2 0.91 1.88 .1747 2 0.91 2.10 .1748 5 0.91 1.86 .1749 4 0.91 2.05 .1750 3 0.91 1.92 .1751 3 0.91 1.97 .1752 2 0.91 1.89 .1753 2 0.91 1.97 .1754 1 0.91 1.80 .1755 1 0.91 1.91 .1756 6 0.91 1.85 .1757 3 0.91 1.67 .1758 1 0.91 1.78 .1759 2 0.91 1.69 .1760 3 0.91 1.73 .1761 1 0.91 1.66 .1762 3 0.91 1.74 .1763 3 0.91 1.83 .1764 3 0.91 1.85 .1765 2 0.91 1.90 .1766 3 0.91 1.76 .1767 3 0.91 1.87 .1768 3 0.91 1.83 .1769 3 0.91 1.93 .1770 1 0.91 1.81 .1771 4 0.91 1.80 .1772 4 0.91 1.90 .1773 3 0.91 1.82 .1774 3 0.91 1.86 .1775 3 0.91 1.92 .1776 2 0.91 1.90 .1777 3 0.91 1.94 .1778 2 0.91 1.89 .1779 3 0.91 1.92 .1780 2 0.91 1.99 .1781 1 0.91 1.87 .1782 3 0.91 1.97 .1783 2 0.91 1.94 .1784 2 0.91 1.96 .1785 4 0.91 1.91 .1786 4 0.91 2.15 .1787 4 0.91 2.01 .1788 2 0.91 1.96 .1789 3 0.91 2.10 .1790 3 0.91 2.07 .1791 3 0.91 2.06 .1792 2 0.91 2.17 .1793 3 0.91 2.06 .1794 3 0.91 2.03 .1795 1 0.91 1.91 .1796 1 0.91 1.95 .1797 2 0.91 2.07 .1798 1 0.91 2.10 .1799 2 0.91 2.04 .1800 1 0.91 2.12 .1801 2 0.91 2.03 .1802 2 0.91 2.04 .1803 2 0.91 2.06 .1804 3 0.91 1.99 .1805 4 0.91 2.28 .1806 5 0.91 2.06 .1807 5 0.91 2.01 .1808 2 0.91 2.09 .1809 2 0.91 2.20 .1810 1 0.91 2.10 .1811 1 0.91 2.10 .1812 1 0.91 2.24 .1813 3 0.91 2.19 .1814 1 0.91 2.16 .1815 1 0.91 2.17 .1816 3 0.91 2.12 .1817 3 0.91 2.21 .1818 3 0.91 2.14 .1819 1 0.91 2.31 .1820 1 0.91 2.21 .1821 1 0.91 2.15 .1822 2 0.91 2.10 .1823 1 0.91 2.20 .1824 5 0.91 2.12 .1825 3 0.91 2.02 .1826 2 0.91 2.15 .1827 2 0.91 2.21 .1828 3 0.91 2.18 .1829 2 0.91 2.35 .1830 1 0.91 2.13 .1831 1 0.91 2.12 .1832 1 0.91 2.11 .1833 1 0.91 2.24 .1834 3 0.91 2.10 .1835 3 0.91 2.32 .1836 2 0.91 2.32 .1837 2 0.91 2.17 .1838 2 0.91 2.16 .1839 3 0.91 2.24 .1840 3 0.91 2.24 .1841 3 0.91 2.28 .1842 2 0.91 2.24 .1843 2 0.91 2.20 .1844 1 0.91 2.23 .1845 1 0.91 2.18 .1846 1 0.91 2.20 .1847 1 0.91 2.09 .1848 3 0.91 2.19 .1849 4 0.91 2.13 .1850 3 0.91 2.01 .1851 1 0.91 2.25 .1852 3 0.91 2.04 .1853 1 0.91 2.19 .1854 3 0.91 2.22 .1855 2 0.91 2.29 .1856 2 0.91 2.12 .1857 1 0.91 2.15 .1858 3 0.91 2.16 .1859 2 0.91 2.23 .1860 1 0.91 2.20 .1861 1 0.91 2.21 .1862 1 0.91 2.26 .1863 2 0.91 2.20 .1864 3 0.91 2.12 .1865 2 0.91 2.08 .1866 3 0.91 2.17 .1867 2 0.92 2.16 .1868 2 0.92 2.13 .1869 3 0.92 2.17 .1870 3 0.92 2.05 .1871 3 0.92 2.09 .1872 3 0.92 2.02 .1873 2 0.92 2.10 .1874 2 0.92 2.05 .1875 2 0.92 2.03 .1876 2 0.92 2.04 .1877 3 0.92 2.01 .1878 2 0.92 2.05 .1879 1 0.92 1.98 .1880 1 0.92 1.95 .1881 2 0.92 1.86 .1882 1 0.92 1.89 .1883 2 0.92 1.96 .1884 3 0.92 1.85 .1885 3 0.92 1.78 .1886 3 0.92 1.69 .1887 2 0.92 1.67 .1888 1 0.92 1.63 .1889 3 0.92 1.81 .1890 3 0.92 1.80 .1891 1 0.92 1.71 .1892 3 0.92 1.77 .1893 2 0.92 1.80 .1894 1 0.92 1.80 .1895 1 0.92 1.73 .1896 1 0.92 1.75 .1897 1 0.92 1.69 .1898 1 0.92 1.78 .1899 2 0.92 1.74 .1900 3 0.92 1.72 .1901 3 0.92 1.73 .1902 3 0.92 1.86 .1903 3 0.92 1.68 .1904 3 0.92 1.79 .1905 1 0.92 1.83 .1906 2 0.92 1.76 .1907 1 0.92 1.80 .1908 1 0.92 1.77 .1909 1 0.92 1.82 .1910 2 0.92 1.84 .1911 1 0.92 2.04 .1912 1 0.92 1.97 .1913 2 0.92 2.00 .1914 1 0.92 2.04 .1915 4 0.92 2.04 .1916 3 0.92 1.97 .1917 1 0.92 1.92 .1918 1 0.92 1.87 .1919 1 0.92 1.90 .1920 2 0.92 1.88 .1921 4 0.92 1.88 .1922 2 0.92 1.93 .1923 2 0.92 1.90 .1924 3 0.92 1.89 .1925 2 0.92 1.77 .1926 2 0.92 1.81 .1927 3 0.92 1.83 .1928 3 0.92 1.91 .1929 4 0.92 1.88 .1930 3 0.92 2.12 .1931 2 0.92 1.96 .1932 2 0.92 1.98 .1933 2 0.92 1.89 .1934 3 0.92 1.86 .1935 3 0.92 1.98 .1936 2 0.92 2.02 .1937 5 0.92 1.98 .1938 1 0.92 1.98 .1939 3 0.92 1.92 .1940 3 0.92 1.84 .1941 4 0.92 2.13 .1942 6 0.92 1.95 .1943 5 0.92 2.04 .1944 6 0.92 1.87 .1945 4 0.92 2.10 .1946 5 0.92 1.99 .1947 4 0.92 1.98 .1948 3 0.92 2.01 .1949 2 0.92 2.04 .1950 1 0.92 2.03 .1951 2 0.92 1.96 .1952 2 0.92 2.06 .1953 1 0.92 1.99 .1954 2 0.92 2.00 .1955 1 0.92 2.09 .1956 1 0.92 1.97 .1957 2 0.92 2.00 .1958 3 0.92 1.90 .1959 2 0.92 2.01 .1960 2 0.92 1.98 .1961 2 0.92 2.04 .1962 3 0.92 1.74 .1963 2 0.92 1.85 .1964 3 0.92 1.92 .1965 3 0.92 1.81 .1966 2 0.92 1.68 .1967 2 0.93 1.84 .1968 2 0.93 1.76 .1969 2 0.93 1.83 .1970 1 0.93 1.71 .1971 1 0.93 1.67 .1972 3 0.93 1.73 .1973 4 0.93 1.72 .1974 3 0.93 1.73 .1975 2 0.93 1.81 .1976 4 0.93 1.77 .1977 5 0.93 1.74 .1978 3 0.93 1.84 .1979 3 0.93 1.71 .1980 3 0.93 1.81 .1981 1 0.93 1.84 .1982 4 0.93 1.96 .1983 3 0.93 1.74 .1984 1 0.93 1.79 .1985 2 0.93 1.82 .1986 2 0.93 1.77 .1987 1 0.93 1.78 .1988 1 0.93 1.76 .1989 3 0.93 1.86 .1990 3 0.93 1.90 .1991 1 0.93 1.86 .1992 1 0.93 1.81 .1993 3 0.93 1.99 .1994 4 0.93 1.93 .1995 4 0.93 1.97 .1996 5 0.93 1.97 .1997 4 0.93 1.94 .1998 2 0.93 1.96 .1999 3 0.93 1.94 .2000 2 0.93 1.93 .2001 3 0.93 1.95 .2002 3 0.93 2.08 .2003 2 0.93 1.95 .2004 4 0.93 2.03 .2005 5 0.93 2.13 .2006 3 0.93 2.07 .2007 3 0.93 1.94 .2008 2 0.93 1.97 .2009 2 0.93 1.88 .2010 1 0.93 1.90 .2011 1 0.93 1.86 .2012 2 0.93 1.92 .2013 3 0.93 1.92 .2014 3 0.93 1.87 .2015 1 0.93 1.71 .2016 2 0.93 1.76 .2017 4 0.93 1.66 .2018 4 0.93 1.66 .2019 1 0.93 1.70 .2020 3 0.93 1.72 .2021 5 0.93 1.74 .2022 1 0.93 1.64 .2023 2 0.93 1.74 .2024 3 0.93 1.51 .2025 3 0.93 1.54 .2026 1 0.93 1.65 .2027 3 0.93 1.65 .2028 2 0.93 1.54 .2029 2 0.93 1.57 .2030 1 0.93 1.59 .2031 3 0.93 1.63 .2032 3 0.93 1.61 .2033 2 0.93 1.62 .2034 2 0.93 1.56 .2035 1 0.93 1.67 .2036 2 0.93 1.64 .2037 4 0.93 1.59 .2038 2 0.93 1.61 .2039 3 0.93 1.65 .2040 1 0.94 1.67 .2041 2 0.94 1.59 .2042 1 0.94 1.61 .2043 1 0.94 1.74 .2044 2 0.94 1.73 .2045 3 0.94 1.79 .2046 3 0.94 1.80 .2047 1 0.94 1.84 EXTRACT_IMAGE: sdR-b2-00034753.fit: masked 3526 pixels DIVIDEFLAT: sdR-b2-00034753.fit: Warning: Reject 321 low points in trace 200 DIVIDEFLAT: sdR-b2-00034753.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034753.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034753.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034753.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034753.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034753.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034753.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034753.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034753.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034753.fit: sky shift reference line, offset: 5577.3390 0.074065172 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 0 0.67786609 132.47015 -0.77945233 1.5393663 95.001168 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 6 0.68070096 158.39997 -0.57451388 0.60000000 73.318185 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 13 1.1654248 147.79202 -0.12170091 0.61349179 78.123778 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 18 2.5515509 127.94407 -1.0000000 1.5965199 86.858264 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 26 1.3031839 147.91847 -0.12374998 0.82746295 55.289526 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 52 1.3370854 147.59881 -0.70679607 0.60000000 92.764071 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 60 2.0494780 162.37034 0.088780561 1.5398909 25.537695 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 63 3.6798403 146.76582 -1.0000000 1.4033228 51.187441 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 82 2.7522649 123.85788 -1.0000000 1.2351550 84.473777 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 84 0.27190745 93.669423 -0.95718518 1.7540317 79.917233 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 109 1.2787273 145.52315 -0.31081605 0.66943770 75.768148 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 114 1.4251707 130.79665 -1.0000000 1.5173401 61.583171 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 131 1.4430268 108.34171 -0.66035336 1.2623826 91.547882 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 153 0.97012766 120.72258 -1.0000000 1.7466750 65.804115 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 176 1.0104469 139.32656 -0.79415786 0.85550273 72.224402 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 180 0.76461944 147.45159 -0.51465945 1.1025102 65.833291 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 184 1.4368118 150.40723 -0.47084832 0.91930430 92.747546 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 185 0.62479397 156.50246 -0.88880619 0.60000000 81.975919 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 186 2.7903574 143.56767 -1.0000000 0.75634327 68.441413 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 201 2.3220977 142.28036 -0.014883735 0.79174889 64.504017 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 204 1.8815687 137.05455 -0.56572836 0.68246631 83.796460 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 206 0.95199552 149.35718 -1.0000000 1.2827140 41.748499 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 213 3.4478654 125.15518 -1.0000000 1.1800312 68.705586 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 235 1.4672082 134.47523 0.056983787 0.60000000 44.267353 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 257 3.0712717 145.16318 -0.69045919 0.83671368 51.157499 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 259 0.91682716 159.40779 -0.39258748 0.74618156 95.714354 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 260 1.3612613 145.11195 -0.58436270 0.60000000 96.836122 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 261 1.6319929 147.55668 -0.53445790 0.66324651 64.575464 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 265 3.0579903 127.86935 -1.0000000 1.3548810 51.065857 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 271 1.1440393 140.55486 -1.0000000 1.1089037 57.141574 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 276 2.7289415 109.25319 -0.53541598 0.60000000 67.140059 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 281 0.43000684 144.61583 -0.30577310 0.60000000 74.811264 LOCATESKYLINES_2: sdR-b2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 284 2.0523992 148.03647 -0.79884147 1.0070091 62.397486 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 307 1.1670369 142.46442 -0.56245309 1.0627706 49.471512 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 0 308 0.63345881 139.99095 -0.36937882 0.77598496 87.370264 LOCATESKYLINES_2: sdR-b2-00034753.fit: comb1 l,chi^2/dof,fit: 0 0.55488221 0.028725833 -0.47605431 0.91686693 0.93418113 LOCATESKYLINES_2: sdR-b2-00034753.fit: kept 162 of 162 points LOCATESKYLINES_2: sdR-b2-00034753.fit: offset, refoff, sigma: -0.401989-0.4760540.064057 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 0 1.0005107 224.01692 0.25724294 1.0221598 265.62621 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 6 2.7327752 224.60525 0.0084642122 1.1089690 289.33604 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 13 1.3001351 231.64928 0.053174749 1.0072857 312.62374 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 18 1.4676417 185.13663 0.076287455 1.4098047 301.71499 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 26 1.7626194 215.61552 0.058156960 1.1595994 314.41142 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 52 0.61645695 193.96822 -0.052852195 1.1220217 336.78499 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 60 0.98466776 217.45594 0.083068561 1.0889485 302.21397 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 63 1.6785256 196.48072 -0.051256690 1.2077188 293.83274 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 82 2.4820175 205.96089 0.048487349 1.0067793 290.91317 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 84 1.7606969 195.52316 0.085834204 1.1484968 277.87739 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 109 0.99550576 214.46108 0.16670170 1.0264995 280.61537 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 114 1.3795470 208.46073 0.17478858 0.94884332 333.64884 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 131 1.0804349 213.39346 0.13743732 0.88316657 305.33936 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 153 0.27038407 210.17692 -0.19127294 1.1841598 272.60096 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 176 2.1643155 214.03605 0.0065944254 1.2486877 253.55330 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 180 2.1668092 230.59961 0.086912060 1.0183753 270.33728 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 184 2.3203683 196.44006 -0.076192281 1.2725794 303.18920 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 185 1.8967005 198.15362 0.079371870 1.1712786 312.91502 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 186 1.7672712 214.10591 -0.0024919239 1.2075299 280.91669 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 201 0.94185452 201.82535 0.025265448 1.1574448 305.87096 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 204 0.37832338 218.97029 0.063168418 1.0471494 315.17443 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 206 2.2720544 211.77347 0.23532267 1.0718896 315.71336 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 213 1.8923021 226.63709 0.031932734 1.0801861 263.37099 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 235 1.4512100 205.03714 0.025164304 1.0477827 259.88602 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 257 1.4358842 215.23280 0.16235044 1.0647664 271.04503 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 259 0.68301049 243.12997 0.015902183 1.1396620 283.43473 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 260 1.3713134 224.31231 0.088145240 1.1230148 280.69244 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 261 1.1771590 210.12544 -0.097998645 1.1635540 269.49608 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 265 2.0130532 217.97611 0.048684786 0.98453641 282.74693 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 271 1.1007326 231.48580 -0.019023557 0.88197861 318.93513 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 276 1.1781187 195.26443 -0.19290686 1.1353105 265.41744 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 281 1.2931756 244.29033 -0.035326209 0.81201259 280.23382 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 284 0.27689137 224.34026 -0.031877580 1.1882132 263.33967 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 307 0.83954662 205.38518 0.092298313 1.2004204 256.83922 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 1 308 2.2893557 198.81439 -0.0027388784 1.1410122 318.71049 LOCATESKYLINES_2: sdR-b2-00034753.fit: comb1 l,chi^2/dof,fit: 1 1.2697423 0.0050343885 0.044166488 1.0890432 0.98901848 LOCATESKYLINES_2: sdR-b2-00034753.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034753.fit: offset, refoff, sigma: 0.1182320.0441660.015293 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 0 1.6630832 361.72269 0.23988948 1.0288194 678.96724 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 6 0.78400727 360.70117 0.20413538 1.0568314 630.84934 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 13 1.2113573 348.81082 0.19479996 1.0088083 672.94595 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 18 0.48194054 392.70619 0.18441893 0.97768324 605.43446 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 26 5.0151782 385.82215 0.13386948 1.0074025 628.47012 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 52 1.4998418 364.58757 0.14935079 1.1737070 604.60832 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 60 0.68956593 394.67949 0.16466422 0.97657189 618.18832 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 63 1.3185111 383.83890 0.22965190 1.0858461 576.03727 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 82 1.0599434 350.08189 0.10274696 1.0815271 611.83634 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 84 1.4876208 375.73880 0.20004437 1.0371737 550.75868 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 109 1.3584803 357.87070 0.17424820 1.1034958 598.82055 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 114 1.5209277 354.30193 0.11898178 1.1046989 588.99783 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 131 3.1310540 336.38686 0.10138385 1.2169423 605.30770 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 153 1.1181110 370.22129 0.24257339 1.1800657 587.26553 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 176 1.1609409 355.74075 0.16294022 1.2126140 575.99061 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 180 1.8730280 357.70080 0.19755695 1.0202033 648.63234 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 184 3.0687132 389.63412 0.15264198 1.0457909 562.07761 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 185 0.50509769 374.44761 0.17787961 1.1622085 544.13601 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 186 0.97089109 379.08335 0.20571307 1.0473397 588.11183 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 201 0.23487624 355.87032 0.16053872 1.1309963 626.52690 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 204 1.2025774 376.27840 0.19076724 1.0312215 582.71081 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 206 0.81402044 380.87567 0.20342974 1.0623556 600.18950 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 213 1.4919213 376.47721 0.17530670 1.1076115 599.07448 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 235 1.7229058 347.96213 0.13729484 1.0841187 589.84683 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 257 3.9308071 353.52366 0.15053027 1.0512648 628.15700 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 259 3.3430797 406.76444 0.11335678 1.0780215 624.25817 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 260 2.2718607 364.59668 0.12913068 1.0654781 593.24476 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 261 1.8702751 401.49804 0.12096969 1.0435204 604.46481 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 265 1.0958263 364.29315 0.26897369 1.1310932 562.76288 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 271 1.3904600 397.31262 0.13434503 1.0163391 554.31412 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 276 2.6684150 325.90033 -0.050506110 1.2142095 575.73837 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 281 1.3200090 398.71289 0.31201559 1.0312080 574.00672 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 284 2.2500080 357.96578 0.29963331 1.1348853 555.12935 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 307 1.5961618 367.78343 0.21380639 1.0752178 555.70484 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 2 308 0.82185849 397.06589 0.035322788 1.1094693 598.96855 LOCATESKYLINES_2: sdR-b2-00034753.fit: comb1 l,chi^2/dof,fit: 2 1.3198709 0.0015823866 0.17214497 1.0771832 0.99678138 LOCATESKYLINES_2: sdR-b2-00034753.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034753.fit: offset, refoff, sigma: 0.2462100.1721450.009475 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 0 1.7670044 377.32540 0.13774398 0.89539971 2421.8314 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 6 3.4692600 343.41157 0.10878614 0.91820025 2358.4079 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 13 1.8707140 351.74250 0.071216575 0.94682837 2235.8746 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 18 3.2556780 367.41269 0.14213698 0.93669279 2315.2117 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 26 2.8242470 365.85844 0.13659007 0.91933125 2497.5781 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 52 7.7507306 334.30923 0.10754490 0.94946820 2324.0034 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 60 2.0849335 364.26671 0.13549595 0.93319376 2368.8786 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 63 0.58517661 355.97094 0.15439820 0.95732387 2254.6348 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 82 2.1685920 321.70524 0.15309398 0.99578691 2276.6793 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 84 1.6954737 323.42060 0.18723332 0.91958309 2396.9896 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 109 1.9893502 309.96650 0.14343027 0.95949334 2347.9884 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 114 4.4691324 342.71202 0.14590782 0.90234272 2367.8925 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 131 1.3962225 352.33342 0.15511742 0.88949317 2438.7136 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 153 3.1516889 360.23671 0.12713602 0.93713480 2423.4211 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 176 4.0086620 356.03868 0.15879011 0.91418306 2398.7989 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 180 3.4555883 360.51192 0.14275258 0.93190174 2344.4601 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 184 3.4383964 351.01817 0.13146855 0.95946602 2272.7637 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 185 3.5649867 358.26779 0.16692680 0.93111581 2310.3414 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 186 3.8526595 346.64025 0.17229441 0.92982790 2438.5920 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 201 4.5741883 328.30223 0.15678428 0.93916442 2408.7151 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 204 1.8135549 319.44463 0.16590539 0.95399370 2448.8505 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 206 2.0341019 361.41138 0.14535810 0.92205482 2441.1648 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 213 2.2415670 330.54367 0.12850506 0.93205096 2398.8492 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 235 2.3522252 340.31491 0.10783789 0.95036526 2338.4396 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 257 1.5772235 355.64126 0.10571892 0.91317790 2401.4397 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 259 2.0588309 385.12508 0.14304426 0.91481821 2496.7272 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 260 3.8368278 360.92845 0.14822510 0.89517964 2487.1478 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 261 0.99056054 383.74630 0.13387274 0.91526320 2492.3706 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 265 0.87873093 361.08304 0.10378059 0.89508793 2369.8075 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 271 6.8113103 350.97748 0.11545515 0.91510564 2497.5012 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 276 2.8757573 334.50595 0.10720810 0.92372150 2459.9148 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 281 2.5609016 340.24053 0.12581595 0.95386039 2349.6017 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 284 1.8791104 329.32950 0.094633190 0.94133159 2403.6674 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 307 2.6677481 364.21368 0.11557517 0.88403804 2459.5941 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 3 308 1.7943053 381.96754 0.13133830 0.91830314 2521.6645 LOCATESKYLINES_2: sdR-b2-00034753.fit: comb1 l,chi^2/dof,fit: 3 2.1381698 0.00011081376 0.13475769 0.92763381 0.99909877 LOCATESKYLINES_2: sdR-b2-00034753.fit: sigma-clipped to 312 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034753.fit: comb2 l,chi^2/dof,fit: 3 1.9311069 0.00042004499 0.13616926 0.92811380 0.99753799 LOCATESKYLINES_2: sdR-b2-00034753.fit: kept 312 of 315 points LOCATESKYLINES_2: sdR-b2-00034753.fit: offset, refoff, sigma: 0.2102340.1361690.003090 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 0 45.157510 392.02882 0.22687295 0.78668835 745.09667 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 6 19.575452 308.38669 0.11374555 0.84980473 779.81768 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 13 41.247848 346.50043 0.19123325 0.72048633 1119.7035 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 18 16.264378 346.85627 0.13262378 0.85526070 697.27573 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 26 45.086797 423.50348 0.17491093 0.68825937 860.73240 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 52 19.636825 299.31086 0.13951810 0.89141586 758.91149 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 60 61.572587 402.13202 0.16283019 0.75744000 688.83731 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 63 37.383855 375.62394 0.21890955 0.78860960 715.46579 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 82 45.900690 382.88999 0.19328536 0.84153989 683.90528 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 84 41.347208 350.24205 0.27141946 0.77913635 820.71835 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 109 54.339794 382.27799 0.19876679 0.77495470 697.09204 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 114 43.983188 372.41558 0.17207908 0.75462925 765.96935 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 131 41.165524 326.00264 0.24302070 0.80920101 747.87583 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 153 29.713243 346.39381 0.16832648 0.89520651 741.02612 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 176 21.683471 327.43762 0.20845097 0.87124443 761.85049 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 180 30.231106 346.32863 0.18175421 0.82884931 763.29098 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 184 39.364844 315.45373 0.23768714 0.82768082 733.42038 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 185 40.139992 334.03909 0.22262870 0.91357474 685.97143 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 186 39.619687 340.34142 0.24856706 0.88255437 744.28826 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 201 51.491369 370.93830 0.19390663 0.78863440 711.09146 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 204 49.891580 396.69804 0.23512931 0.78941418 691.90458 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 206 43.543942 376.54328 0.18549635 0.78673779 650.13824 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 213 19.277538 324.74879 0.23884415 0.88975345 772.79829 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 235 36.471983 375.79614 0.10565603 0.79045175 669.68478 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 257 16.473872 328.83761 0.18080983 0.86896929 814.72643 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 259 31.983441 383.39007 0.12897109 0.81049321 721.64229 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 260 35.559466 329.02615 0.11401102 0.82564810 755.94416 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 261 40.852373 382.32232 0.19638024 0.82007726 830.76179 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 265 44.036092 367.50933 0.12621607 0.76888492 706.15882 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 271 30.516060 330.01856 0.082004628 0.81985475 764.46777 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 276 29.196266 330.00372 0.19325279 0.87306071 718.59250 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 281 19.971053 330.50553 0.091695323 0.90612240 726.16187 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 284 24.057309 336.81284 0.079112681 0.83271215 735.14782 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 307 36.444038 401.32682 0.13330481 0.68760183 761.39860 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 4 308 14.194493 326.36575 0.17229067 0.82918346 806.82901 LOCATESKYLINES_2: sdR-b2-00034753.fit: comb1 l,chi^2/dof,fit: 4 20.565424 0.00060302416 0.17906704 0.81728913 0.99375095 LOCATESKYLINES_2: sdR-b2-00034753.fit: sigma-clipped to 253 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034753.fit: comb2 l,chi^2/dof,fit: 4 2.3964648 -0.067761403 0.17704091 0.89760133 1.0361299 LOCATESKYLINES_2: sdR-b2-00034753.fit: kept 253 of 315 points LOCATESKYLINES_2: sdR-b2-00034753.fit: offset, refoff, sigma: 0.2511060.1770410.006727 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 0 22.721991 324.49447 0.25643200 0.84528671 579.29931 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 6 69.341188 340.56464 0.15450663 0.76061306 509.26544 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 13 26.629935 315.50197 0.24774663 0.86941442 519.52792 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 18 57.595729 356.46445 0.16608462 0.78913021 484.93996 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 26 93.630569 375.28270 0.18341929 0.74507565 521.57910 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 52 52.700559 352.00735 0.092497743 0.71102498 530.76754 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 60 68.340699 372.53563 0.25212089 0.79797048 505.04199 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 63 15.844913 304.39210 0.16291244 0.83422706 507.32625 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 82 68.961814 388.69335 0.18967779 0.69165231 469.35371 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 84 11.671846 295.66884 0.32398946 0.87078920 486.11618 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 109 16.767841 291.06301 0.26335970 0.94176250 530.39213 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 114 20.482590 308.58273 0.21774731 0.82817535 545.03960 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 131 21.830514 321.34319 0.21522141 0.80542800 497.20606 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 153 67.279886 368.71064 0.25705346 0.79633482 432.40826 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 176 49.461195 359.67611 0.11617639 0.73746004 451.97330 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 180 66.879526 320.47310 0.14313535 0.76906679 534.59895 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 184 37.268138 309.49862 0.10716706 0.88444085 481.44441 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 185 43.975567 326.40837 0.25288856 0.70488091 541.53633 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 186 40.753782 317.63473 0.23149693 0.87363166 482.10880 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 201 80.230055 356.37756 0.18985651 0.71546426 466.05471 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 204 64.098670 378.41505 0.11526655 0.67359324 526.09865 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 206 61.769672 351.42329 0.13824573 0.72875865 446.99783 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 213 61.908252 345.52494 0.14779062 0.77463040 490.19939 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 235 73.455178 347.78945 -0.033345964 0.74687987 462.70630 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 257 62.855420 354.19367 0.050095069 0.75583555 447.65176 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 259 58.395758 354.33051 0.19297059 0.86579815 504.07265 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 260 33.420346 324.15419 0.14692704 0.88232094 481.41855 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 261 36.567410 316.19256 0.22338557 0.84978267 590.77335 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 265 86.654553 361.55438 0.049824019 0.68061608 471.17286 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 271 63.346318 315.85383 0.19531152 0.89549075 478.20950 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 276 39.202214 324.14865 0.20766056 0.75740617 501.12740 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 281 63.177659 363.89762 0.20810694 0.77846039 453.56742 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 284 45.392244 337.80853 0.10038644 0.77398189 490.09161 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 307 56.149719 369.91253 0.088701232 0.67464949 488.68643 LOCATESKYLINES_2: sdR-b2-00034753.fit: l,f,chi^2/dof,c: 5 308 52.812946 354.40866 0.14318749 0.75702424 463.74032 LOCATESKYLINES_2: sdR-b2-00034753.fit: comb1 l,chi^2/dof,fit: 5 29.363415 -0.00033507571 0.17627049 0.80000000 0.98577864 LOCATESKYLINES_2: sdR-b2-00034753.fit: sigma-clipped to 262 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034753.fit: comb2 l,chi^2/dof,fit: 5 2.2091355 -0.11444367 0.17942122 0.90304764 1.0824258 LOCATESKYLINES_2: sdR-b2-00034753.fit: kept 262 of 315 points LOCATESKYLINES_2: sdR-b2-00034753.fit: offset, refoff, sigma: 0.2534860.1794210.008830 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 26826.154 DOF = 1862 P(0) = 70.2528 P(1) = 0.00000 P(2) = 70.2528 P(3) = 70.2528 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 2508.7217 DOF = 1862 P(0) = 134.872 P(1) = -2.59418E-05 P(2) = 136.867 P(3) = 82.7730 P(4) = 0.000130000 P(5) = -0.0369816 Iter 3 CHI-SQUARE = 2507.3481 DOF = 1862 P(0) = 134.941 P(1) = -2.61739E-05 P(2) = 139.464 P(3) = 80.9324 P(4) = 0.000130000 P(5) = -0.0347814 Iter 4 CHI-SQUARE = 2507.3317 DOF = 1862 P(0) = 134.978 P(1) = -2.62039E-05 P(2) = 139.511 P(3) = 80.9236 P(4) = 0.000130000 P(5) = -0.0365052 Iter 5 CHI-SQUARE = 2507.3316 DOF = 1862 P(0) = 134.978 P(1) = -2.62038E-05 P(2) = 139.511 P(3) = 80.9235 P(4) = 0.000130000 P(5) = -0.0365839 Iter 6 CHI-SQUARE = 2507.3308 DOF = 1862 P(0) = 134.978 P(1) = -2.62110E-05 P(2) = 139.512 P(3) = 80.9235 P(4) = 0.000130000 P(5) = -0.0366164 Iter 7 CHI-SQUARE = 2507.3307 DOF = 1862 P(0) = 134.978 P(1) = -2.62113E-05 P(2) = 139.512 P(3) = 80.9231 P(4) = 0.000130000 P(5) = -0.0366650 Iter 8 CHI-SQUARE = 2507.3302 DOF = 1862 P(0) = 134.978 P(1) = -2.62162E-05 P(2) = 139.512 P(3) = 80.9230 P(4) = 0.000130000 P(5) = -0.0366759 Iter 9 CHI-SQUARE = 2507.3297 DOF = 1862 P(0) = 134.978 P(1) = -2.62202E-05 P(2) = 139.512 P(3) = 80.9229 P(4) = 0.000130000 P(5) = -0.0366847 Iter 10 CHI-SQUARE = 2507.3297 DOF = 1862 P(0) = 134.978 P(1) = -2.62201E-05 P(2) = 139.513 P(3) = 80.9226 P(4) = 0.000130000 P(5) = -0.0367073 Iter 10 CHI-SQUARE = 2507.3297 DOF = 1862 P(0) = 134.978 P(1) = -2.62201E-05 P(2) = 139.513 P(3) = 80.9226 P(4) = 0.000130000 P(5) = -0.0367073 FITMOONPLUSLINE: sdR-b2-00034753.fit: fit coeffs: 134.97762 -2.6220077e-05 139.51286 80.922635 0.00013000000 -0.036707285 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034753.fit: changing 4046.58 correction from -0.401989 to 0.23707446 pixels, err= 0.033426602 Iter 1 CHI-SQUARE = 96649.750 DOF = 3854 P(0) = 102.140 P(1) = 0.00000 P(2) = 102.140 P(3) = 102.140 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 5195.1192 DOF = 3854 P(0) = 194.391 P(1) = -3.37725E-05 P(2) = 165.305 P(3) = 273.471 P(4) = 0.000130000 P(5) = 0.503628 Iter 3 CHI-SQUARE = 5097.2375 DOF = 3854 P(0) = 196.903 P(1) = -1.49132E-05 P(2) = 168.603 P(3) = 271.325 P(4) = 0.000130000 P(5) = 0.512168 Iter 4 CHI-SQUARE = 5038.9337 DOF = 3854 P(0) = 194.433 P(1) = -1.41602E-05 P(2) = 166.144 P(3) = 273.516 P(4) = 0.000130000 P(5) = 0.498746 Iter 5 CHI-SQUARE = 5038.5761 DOF = 3854 P(0) = 194.448 P(1) = -1.48574E-05 P(2) = 166.147 P(3) = 273.550 P(4) = 0.000130000 P(5) = 0.498824 Iter 6 CHI-SQUARE = 5038.4208 DOF = 3854 P(0) = 194.412 P(1) = -1.45851E-05 P(2) = 166.054 P(3) = 273.544 P(4) = 0.000130000 P(5) = 0.502386 Iter 7 CHI-SQUARE = 5038.3265 DOF = 3854 P(0) = 194.410 P(1) = -1.50467E-05 P(2) = 166.062 P(3) = 273.548 P(4) = 0.000130000 P(5) = 0.501621 Iter 8 CHI-SQUARE = 5038.3180 DOF = 3854 P(0) = 194.405 P(1) = -1.51517E-05 P(2) = 166.063 P(3) = 273.539 P(4) = 0.000130000 P(5) = 0.501831 Iter 9 CHI-SQUARE = 5038.3103 DOF = 3854 P(0) = 194.402 P(1) = -1.51022E-05 P(2) = 166.063 P(3) = 273.535 P(4) = 0.000130000 P(5) = 0.502016 Iter 10 CHI-SQUARE = 5038.3081 DOF = 3854 P(0) = 194.402 P(1) = -1.51272E-05 P(2) = 166.063 P(3) = 273.534 P(4) = 0.000130000 P(5) = 0.502108 Iter 11 CHI-SQUARE = 5038.3065 DOF = 3854 P(0) = 194.401 P(1) = -1.51157E-05 P(2) = 166.063 P(3) = 273.533 P(4) = 0.000130000 P(5) = 0.502159 Iter 12 CHI-SQUARE = 5038.3059 DOF = 3854 P(0) = 194.401 P(1) = -1.51221E-05 P(2) = 166.063 P(3) = 273.533 P(4) = 0.000130000 P(5) = 0.502184 Iter 13 CHI-SQUARE = 5038.3052 DOF = 3854 P(0) = 194.401 P(1) = -1.51213E-05 P(2) = 166.063 P(3) = 273.533 P(4) = 0.000130000 P(5) = 0.502213 Iter 14 CHI-SQUARE = 5038.3040 DOF = 3854 P(0) = 194.400 P(1) = -1.51246E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502267 Iter 15 CHI-SQUARE = 5038.3030 DOF = 3854 P(0) = 194.400 P(1) = -1.51195E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502304 Iter 16 CHI-SQUARE = 5038.3023 DOF = 3854 P(0) = 194.400 P(1) = -1.51137E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502332 Iter 17 CHI-SQUARE = 5038.3019 DOF = 3854 P(0) = 194.400 P(1) = -1.51072E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502344 Iter 18 CHI-SQUARE = 5038.3018 DOF = 3854 P(0) = 194.400 P(1) = -1.51037E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502350 Iter 19 CHI-SQUARE = 5038.3016 DOF = 3854 P(0) = 194.400 P(1) = -1.51049E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502360 Iter 20 CHI-SQUARE = 5038.3015 DOF = 3854 P(0) = 194.400 P(1) = -1.51064E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502362 Iter 21 CHI-SQUARE = 5038.3015 DOF = 3854 P(0) = 194.400 P(1) = -1.51071E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502365 Iter 22 CHI-SQUARE = 5038.3014 DOF = 3854 P(0) = 194.400 P(1) = -1.51068E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502367 Iter 23 CHI-SQUARE = 5038.3014 DOF = 3854 P(0) = 194.400 P(1) = -1.51064E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502369 Iter 24 CHI-SQUARE = 5038.3014 DOF = 3854 P(0) = 194.400 P(1) = -1.51061E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502370 Iter 25 CHI-SQUARE = 5038.3014 DOF = 3854 P(0) = 194.400 P(1) = -1.51062E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502370 Iter 26 CHI-SQUARE = 5038.3014 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.532 P(4) = 0.000130000 P(5) = 0.502371 Iter 27 CHI-SQUARE = 5038.3014 DOF = 3854 P(0) = 194.400 P(1) = -1.51062E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 28 CHI-SQUARE = 5038.3014 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 29 CHI-SQUARE = 5038.3013 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 30 CHI-SQUARE = 5038.3013 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 31 CHI-SQUARE = 5038.3013 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 32 CHI-SQUARE = 5038.3013 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 33 CHI-SQUARE = 5038.3013 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 34 CHI-SQUARE = 5038.3013 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 35 CHI-SQUARE = 5038.3013 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 Iter 35 CHI-SQUARE = 5038.3013 DOF = 3854 P(0) = 194.400 P(1) = -1.51063E-05 P(2) = 166.063 P(3) = 273.531 P(4) = 0.000130000 P(5) = 0.502371 FITMOONPLUSLINE: sdR-b2-00034753.fit: fit coeffs: 194.39982 -1.5106313e-05 166.06290 273.53150 0.00013000000 0.50237135 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034753.fit: changing 4358.33 correction from 0.118232 to 0.13928269 pixels, err= 0.014956517 Iter 1 CHI-SQUARE = 66962.238 DOF = 1286 P(0) = 205.379 P(1) = 0.00000 P(2) = 205.379 P(3) = 205.379 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 2742.3894 DOF = 1286 P(0) = 362.281 P(1) = -3.73437E-05 P(2) = 375.174 P(3) = 504.903 P(4) = 0.000130000 P(5) = 0.469528 Iter 3 CHI-SQUARE = 2620.4330 DOF = 1286 P(0) = 358.537 P(1) = -3.47569E-05 P(2) = 279.006 P(3) = 506.212 P(4) = 0.000130000 P(5) = 0.399470 Iter 4 CHI-SQUARE = 2420.0396 DOF = 1286 P(0) = 363.189 P(1) = -2.78818E-05 P(2) = 272.626 P(3) = 511.658 P(4) = 0.000130000 P(5) = 0.500307 Iter 5 CHI-SQUARE = 2330.3233 DOF = 1286 P(0) = 364.413 P(1) = -1.40478E-05 P(2) = 355.435 P(3) = 507.840 P(4) = 0.000130000 P(5) = 0.160932 Iter 6 CHI-SQUARE = 2307.4174 DOF = 1286 P(0) = 364.700 P(1) = -1.34446E-05 P(2) = 376.670 P(3) = 506.553 P(4) = 0.000130000 P(5) = 0.354190 Iter 7 CHI-SQUARE = 2295.7384 DOF = 1286 P(0) = 363.160 P(1) = -1.37820E-05 P(2) = 375.624 P(3) = 505.844 P(4) = 0.000130000 P(5) = 0.373808 Iter 8 CHI-SQUARE = 2293.1229 DOF = 1286 P(0) = 362.666 P(1) = -1.36530E-05 P(2) = 375.021 P(3) = 505.927 P(4) = 0.000130000 P(5) = 0.412910 Iter 9 CHI-SQUARE = 2292.6116 DOF = 1286 P(0) = 362.569 P(1) = -1.36100E-05 P(2) = 374.857 P(3) = 506.055 P(4) = 0.000130000 P(5) = 0.431214 Iter 10 CHI-SQUARE = 2292.0665 DOF = 1286 P(0) = 362.390 P(1) = -1.36461E-05 P(2) = 374.512 P(3) = 506.149 P(4) = 0.000130000 P(5) = 0.449734 Iter 11 CHI-SQUARE = 2291.8977 DOF = 1286 P(0) = 362.121 P(1) = -1.36507E-05 P(2) = 373.638 P(3) = 506.444 P(4) = 0.000130000 P(5) = 0.463700 Iter 12 CHI-SQUARE = 2291.7671 DOF = 1286 P(0) = 362.124 P(1) = -1.37063E-05 P(2) = 373.230 P(3) = 506.550 P(4) = 0.000130000 P(5) = 0.459248 Iter 13 CHI-SQUARE = 2291.7211 DOF = 1286 P(0) = 362.335 P(1) = -1.37579E-05 P(2) = 373.026 P(3) = 506.599 P(4) = 0.000130000 P(5) = 0.471598 Iter 14 CHI-SQUARE = 2291.4173 DOF = 1286 P(0) = 362.298 P(1) = -1.38713E-05 P(2) = 372.376 P(3) = 506.662 P(4) = 0.000130000 P(5) = 0.466092 Iter 15 CHI-SQUARE = 2291.2501 DOF = 1286 P(0) = 362.420 P(1) = -1.40971E-05 P(2) = 371.165 P(3) = 506.790 P(4) = 0.000130000 P(5) = 0.487058 Iter 16 CHI-SQUARE = 2290.8641 DOF = 1286 P(0) = 362.013 P(1) = -1.41327E-05 P(2) = 370.572 P(3) = 506.750 P(4) = 0.000130000 P(5) = 0.463788 Iter 17 CHI-SQUARE = 2290.6841 DOF = 1286 P(0) = 361.969 P(1) = -1.42433E-05 P(2) = 369.695 P(3) = 506.907 P(4) = 0.000130000 P(5) = 0.466409 Iter 18 CHI-SQUARE = 2290.6253 DOF = 1286 P(0) = 362.188 P(1) = -1.42637E-05 P(2) = 369.572 P(3) = 507.006 P(4) = 0.000130000 P(5) = 0.465221 Iter 19 CHI-SQUARE = 2290.5778 DOF = 1286 P(0) = 362.160 P(1) = -1.42888E-05 P(2) = 369.488 P(3) = 506.957 P(4) = 0.000130000 P(5) = 0.464993 Iter 20 CHI-SQUARE = 2290.5621 DOF = 1286 P(0) = 362.228 P(1) = -1.43147E-05 P(2) = 369.370 P(3) = 506.975 P(4) = 0.000130000 P(5) = 0.468777 Iter 21 CHI-SQUARE = 2290.5533 DOF = 1286 P(0) = 362.330 P(1) = -1.43687E-05 P(2) = 369.160 P(3) = 507.007 P(4) = 0.000130000 P(5) = 0.469595 Iter 22 CHI-SQUARE = 2290.5218 DOF = 1286 P(0) = 362.233 P(1) = -1.43435E-05 P(2) = 369.161 P(3) = 506.986 P(4) = 0.000130000 P(5) = 0.463347 Iter 23 CHI-SQUARE = 2290.4773 DOF = 1286 P(0) = 362.096 P(1) = -1.43526E-05 P(2) = 369.119 P(3) = 506.922 P(4) = 0.000130000 P(5) = 0.464962 Iter 24 CHI-SQUARE = 2290.4325 DOF = 1286 P(0) = 362.105 P(1) = -1.43818E-05 P(2) = 368.849 P(3) = 507.010 P(4) = 0.000130000 P(5) = 0.467924 Iter 25 CHI-SQUARE = 2290.3749 DOF = 1286 P(0) = 362.022 P(1) = -1.44401E-05 P(2) = 368.465 P(3) = 507.038 P(4) = 0.000130000 P(5) = 0.462374 Iter 26 CHI-SQUARE = 2290.3460 DOF = 1286 P(0) = 362.009 P(1) = -1.44563E-05 P(2) = 368.279 P(3) = 507.058 P(4) = 0.000130000 P(5) = 0.467016 Iter 27 CHI-SQUARE = 2290.3105 DOF = 1286 P(0) = 362.079 P(1) = -1.44722E-05 P(2) = 368.202 P(3) = 507.089 P(4) = 0.000130000 P(5) = 0.467734 Iter 28 CHI-SQUARE = 2290.3105 DOF = 1286 P(0) = 362.079 P(1) = -1.44722E-05 P(2) = 368.202 P(3) = 507.089 P(4) = 0.000130000 P(5) = 0.467734 FITMOONPLUSLINE: sdR-b2-00034753.fit: fit coeffs: 362.07917 -1.4472223e-05 368.20214 507.08944 0.00013000000 0.46773432 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034753.fit: changing 5460.94 correction from 0.246210 to 0.14936914 pixels, err= 0.011107088 LOCATESKYLINES_2: sdR-b2-00034753.fit: applying 0.00 pixel correction to 0.25 0.25 0.60 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 FITMEANX: sdR-b2-00034753.fit: In skyline number 0 std-dev is 0.11491191 pix FITMEANX: sdR-b2-00034753.fit: In skyline number 1 std-dev is 0.049965523 pix FITMEANX: sdR-b2-00034753.fit: In skyline number 2 std-dev is 0.037003030 pix FITMEANX: sdR-b2-00034753.fit: In skyline number 3 std-dev is 0.019545598 pix FITMEANX: sdR-b2-00034753.fit: In skyline number 4 std-dev is 0.031728386 pix FITMEANX: sdR-b2-00034753.fit: In skyline number 5 std-dev is 0.033393177 pix LOCATESKYLINES_2: sdR-b2-00034753.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034753.fit: In sky feature at 4046.5600 coadded std-dev is 0.0334266 pix LOCATESKYLINES_2: sdR-b2-00034753.fit: In sky feature at 4358.3300 coadded std-dev is 0.0149565 pix LOCATESKYLINES_2: sdR-b2-00034753.fit: In sky feature at 5460.9400 coadded std-dev is 0.0111071 pix LOCATESKYLINES_2: sdR-b2-00034753.fit: In sky feature at 5577.3390 coadded std-dev is 0.00308955 pix LOCATESKYLINES_2: sdR-b2-00034753.fit: In sky feature at 5889.9500 coadded std-dev is 0.00672651 pix LOCATESKYLINES_2: sdR-b2-00034753.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034753.fit: Median arc shift = 0.18084529 pix LOCATESKYLINES_2: sdR-b2-00034753.fit: Dispersion in arc shift = 0.036027944 pix LOCATESKYLINES_2: sdR-b2-00034753.fit: Maximum sky-line shift is 0.22505057 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Number of sky fibers = 33 ROW NITER SIG(med) CHI^2 .0000 1 0.86 0.24 .0001 1 0.86 0.24 .0002 1 0.86 0.24 .0003 1 0.86 0.18 .0004 1 0.86 0.26 .0005 8 0.86 0.25 .0006 1 0.86 0.18 .0007 1 0.86 0.34 .0008 1 0.86 0.19 .0009 1 0.86 0.34 .0010 1 0.86 0.22 .0011 3 0.86 0.37 .0012 7 0.86 0.44 .0013 1 0.86 0.17 .0014 1 0.86 0.31 .0015 1 0.86 0.29 .0016 1 0.86 0.40 .0017 1 0.86 0.59 .0018 1 0.86 0.18 .0019 1 0.86 0.17 .0020 1 0.84 0.40 .0021 1 0.84 0.17 .0022 3 0.84 0.40 .0023 5 0.84 0.39 .0024 1 0.84 0.26 .0025 1 0.84 0.20 .0026 1 0.84 0.21 .0027 5 0.84 0.47 .0028 1 0.84 0.26 .0029 1 0.84 0.24 .0030 1 0.84 0.19 .0031 1 0.84 0.28 .0032 2 0.84 0.38 .0033 1 0.84 0.37 .0034 5 0.84 0.28 .0035 1 0.84 0.38 .0036 1 0.84 0.24 .0037 1 0.84 0.31 .0038 1 0.84 0.27 .0039 1 0.84 0.19 .0040 8 0.87 0.20 .0041 1 0.87 0.31 .0042 1 0.87 0.20 .0043 1 0.87 0.24 .0044 1 0.87 0.22 .0045 1 0.87 0.32 .0046 5 0.87 0.31 .0047 1 0.87 0.22 .0048 1 0.87 0.22 .0049 1 0.87 0.25 .0050 1 0.87 0.23 .0051 2 0.87 0.47 .0052 1 0.87 0.16 .0053 1 0.87 0.19 .0054 3 0.87 0.46 .0055 5 0.87 0.36 .0056 1 0.87 0.26 .0057 1 0.87 0.41 .0058 1 0.87 0.27 .0059 1 0.87 0.21 .0060 1 0.86 0.17 .0061 1 0.86 0.26 .0062 1 0.86 0.42 .0063 1 0.86 0.19 .0064 5 0.86 0.41 .0065 1 0.86 0.30 .0066 1 0.86 0.43 .0067 1 0.86 0.43 .0068 1 0.86 0.25 .0069 9 0.86 0.22 .0070 4 0.86 0.28 .0071 1 0.86 0.20 .0072 1 0.86 0.29 .0073 1 0.86 0.24 .0074 1 0.86 0.27 .0075 1 0.86 0.28 .0076 9 0.86 0.26 .0077 1 0.86 0.37 .0078 3 0.86 0.40 .0079 1 0.86 0.22 .0080 4 0.86 0.44 .0081 1 0.86 0.33 .0082 1 0.86 0.18 .0083 1 0.86 0.37 .0084 1 0.86 0.23 .0085 1 0.86 0.24 .0086 7 0.86 0.19 .0087 1 0.86 0.28 .0088 1 0.86 0.32 .0089 1 0.86 0.25 .0090 2 0.86 0.34 .0091 1 0.86 0.23 .0092 1 0.86 0.28 .0093 2 0.86 0.47 .0094 1 0.86 0.37 .0095 1 0.86 0.50 .0096 1 0.86 0.34 .0097 2 0.86 0.48 .0098 1 0.86 0.34 .0099 1 0.86 0.28 .0100 1 0.86 0.35 .0101 1 0.86 0.33 .0102 8 0.86 0.17 .0103 1 0.86 0.29 .0104 1 0.86 0.28 .0105 9 0.86 0.30 .0106 1 0.86 0.25 .0107 2 0.86 0.38 .0108 1 0.86 0.26 .0109 1 0.86 0.22 .0110 1 0.86 0.26 .0111 1 0.86 0.39 .0112 4 0.86 0.38 .0113 1 0.86 0.26 .0114 1 0.86 0.21 .0115 1 0.86 0.49 .0116 1 0.86 0.41 .0117 2 0.86 0.51 .0118 1 0.86 0.24 .0119 1 0.86 0.32 .0120 1 0.84 0.34 .0121 1 0.84 0.19 .0122 1 0.84 0.32 .0123 1 0.84 0.26 .0124 1 0.84 0.28 .0125 1 0.84 0.20 .0126 1 0.84 0.22 .0127 1 0.84 0.27 .0128 3 0.84 0.38 .0129 1 0.84 0.27 .0130 3 0.84 0.62 .0131 1 0.84 0.23 .0132 4 0.84 0.36 .0133 2 0.84 0.58 .0134 2 0.84 0.49 .0135 1 0.84 0.37 .0136 1 0.84 0.25 .0137 1 0.84 0.29 .0138 1 0.84 0.49 .0139 2 0.84 0.51 .0140 1 0.85 0.33 .0141 8 0.85 0.51 .0142 8 0.85 0.39 .0143 2 0.85 0.32 .0144 1 0.85 0.60 .0145 1 0.85 0.39 .0146 1 0.85 0.42 .0147 1 0.85 0.50 .0148 1 0.85 0.51 .0149 9 0.85 0.29 .0150 2 0.85 0.41 .0151 3 0.85 0.59 .0152 1 0.85 0.44 .0153 1 0.85 0.21 .0154 9 0.85 0.31 .0155 8 0.85 0.39 .0156 1 0.85 0.52 .0157 10 0.85 0.42 .0158 1 0.85 0.44 .0159 1 0.85 0.57 .0160 1 0.86 0.39 .0161 1 0.86 0.47 .0162 1 0.86 0.58 .0163 1 0.86 0.49 .0164 2 0.86 0.64 .0165 1 0.86 0.22 .0166 1 0.86 0.31 .0167 1 0.86 0.50 .0168 1 0.86 0.73 .0169 3 0.86 0.78 .0170 5 0.86 0.57 .0171 1 0.86 0.55 .0172 1 0.86 0.25 .0173 1 0.86 0.52 .0174 1 0.86 0.24 .0175 2 0.86 0.51 .0176 2 0.86 0.15 .0177 2 0.86 0.51 .0178 1 0.86 0.28 .0179 2 0.86 0.34 .0180 2 0.85 0.17 .0181 1 0.85 0.33 .0182 1 0.85 0.29 .0183 1 0.85 0.52 .0184 1 0.85 0.20 .0185 2 0.85 0.15 .0186 2 0.85 0.18 .0187 1 0.85 0.22 .0188 2 0.85 0.70 .0189 2 0.85 0.85 .0190 1 0.85 0.22 .0191 1 0.85 0.19 .0192 1 0.85 0.23 .0193 1 0.85 0.27 .0194 1 0.85 0.19 .0195 1 0.85 0.20 .0196 1 0.85 0.31 .0197 2 0.85 0.73 .0198 1 0.85 0.21 .0199 1 0.85 0.22 .0200 1 0.85 0.17 .0201 2 0.85 0.16 .0202 8 0.85 0.23 .0203 1 0.85 0.25 .0204 1 0.85 0.19 .0205 10 0.85 0.21 .0206 1 0.85 0.19 .0207 8 0.85 0.37 .0208 1 0.85 0.28 .0209 5 0.85 0.50 .0210 1 0.85 0.44 .0211 2 0.85 0.58 .0212 2 0.85 0.63 .0213 1 0.85 0.22 .0214 1 0.85 0.42 .0215 1 0.85 0.55 .0216 8 0.85 0.31 .0217 8 0.85 0.26 .0218 1 0.85 0.32 .0219 1 0.85 0.35 .0220 2 0.85 0.79 .0221 3 0.85 0.72 .0222 2 0.85 0.52 .0223 9 0.85 0.27 .0224 2 0.85 0.47 .0225 1 0.85 0.50 .0226 3 0.85 0.82 .0227 1 0.85 0.21 .0228 8 0.85 0.41 .0229 3 0.85 0.74 .0230 2 0.85 0.48 .0231 2 0.85 0.78 .0232 1 0.85 0.15 .0233 3 0.85 0.80 .0234 2 0.85 0.67 .0235 1 0.85 0.17 .0236 3 0.85 0.76 .0237 2 0.85 0.78 .0238 11 0.85 0.28 .0239 1 0.85 0.19 .0240 4 0.85 0.42 .0241 0 0.85 0.00 .0242 3 0.85 0.57 .0243 1 0.85 0.64 .0244 1 0.85 0.69 .0245 1 0.85 0.70 .0246 1 0.85 0.41 .0247 1 0.85 0.47 .0248 1 0.85 0.43 .0249 1 0.85 0.28 .0250 1 0.85 0.57 .0251 4 0.85 0.67 .0252 2 0.85 0.57 .0253 3 0.85 0.52 .0254 1 0.85 0.19 .0255 1 0.85 0.57 .0256 1 0.85 0.40 .0257 1 0.85 0.18 .0258 2 0.85 0.46 .0259 1 0.85 0.21 .0260 1 0.85 0.18 .0261 1 0.85 0.18 .0262 6 0.85 0.47 .0263 0 0.85 0.00 .0264 3 0.85 0.74 .0265 1 0.85 0.17 .0266 2 0.85 0.60 .0267 1 0.85 0.46 .0268 2 0.85 0.88 .0269 2 0.85 0.68 .0270 2 0.85 0.68 .0271 1 0.85 0.20 .0272 2 0.85 0.64 .0273 5 0.85 0.97 .0274 2 0.85 0.63 .0275 9 0.85 0.32 .0276 1 0.85 0.19 .0277 3 0.85 0.77 .0278 4 0.85 1.07 .0279 5 0.85 0.93 .0280 1 0.86 0.28 .0281 1 0.86 0.17 .0282 2 0.86 0.47 .0283 1 0.86 0.48 .0284 1 0.86 0.16 .0285 1 0.86 0.39 .0286 1 0.86 0.26 .0287 1 0.86 0.21 .0288 1 0.86 0.32 .0289 1 0.86 0.56 .0290 1 0.86 0.57 .0291 3 0.86 0.69 .0292 0 0.86 0.00 .0293 2 0.86 0.62 .0294 1 0.86 0.34 .0295 1 0.86 0.38 .0296 2 0.86 0.49 .0297 1 0.86 0.42 .0298 9 0.86 0.36 .0299 2 0.86 0.57 .0300 2 0.86 0.51 .0301 2 0.86 0.74 .0302 3 0.86 0.50 .0303 9 0.86 0.41 .0304 3 0.86 0.81 .0305 2 0.86 0.48 .0306 2 0.86 0.54 .0307 1 0.86 0.16 .0308 1 0.86 0.16 .0309 2 0.86 0.62 .0310 2 0.86 0.70 .0311 0 0.86 0.00 .0312 7 0.86 0.43 .0313 5 0.86 0.57 .0314 1 0.86 0.62 .0315 7 0.86 0.60 .0316 8 0.86 0.83 .0317 2 0.86 0.58 .0318 3 0.86 0.60 .0319 2 0.86 0.59 EXTRACT_IMAGE: sdR-b2-00034753.fit: masked 514 pixels SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 0 median sigma(arc)= 0.86140301 sigma(sky)= 0.82911236 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 0 sigma^2(add)= -0.052783682 +/- 0.29947695 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 1 median sigma(arc)= 0.86122840 sigma(sky)= 0.79587315 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 1 sigma^2(add)= -0.077352862 +/- 0.23268462 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 2 median sigma(arc)= 0.85466631 sigma(sky)= 0.94870121 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 2 sigma^2(add)= 0.17672851 +/- 0.094182106 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 3 median sigma(arc)= 0.85353819 sigma(sky)= 1.0014828 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 3 sigma^2(add)= 0.27469622 +/- 0.19376194 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 4 median sigma(arc)= 0.88248068 sigma(sky)= 1.1774182 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 4 sigma^2(add)= 0.61264656 +/- 0.21656357 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 5 median sigma(arc)= 0.90627059 sigma(sky)= 0.14694062 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Line # 5 sigma^2(add)= 1.5622432 +/- 22055.919 SKYLINE_DISPERSION: sdR-b2-00034753.fit: Flexure sigma^2(add) = 0.14146684 +/- 0.22523847 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034753.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034753.fit: Heliocentric correction = 22.851466 km/s FITVACSET: sdR-b2-00034753.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034753.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034753.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034753.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034753.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-b2-00034753.fit: Airmass range = 1.14072 1.17168 SKYSUBTRACT: sdR-b2-00034753.fit: Discarding 0.000701904 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 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1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034753.fit: Median sky-residual chi2 = 1.19935 SKYSUBTRACT: sdR-b2-00034753.fit: Max sky-residual chi2 = 4.24809 EXTRACT_OBJECT: sdR-b2-00034753.fit: Calling skysubtract again; masked skyfibers 259 SKYSUBTRACT: sdR-b2-00034753.fit: Number of sky fibers = 31 SKYSUBTRACT: sdR-b2-00034753.fit: Airmass range = 1.14072 1.17168 SKYSUBTRACT: sdR-b2-00034753.fit: Discarding 0.000582787 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 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1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 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1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 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1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 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1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 705 of 1534 Bin 706 of 1534 Bin 707 of 1534 Bin 708 of 1534 Bin 709 of 1534 Bin 710 of 1534 Bin 711 of 1534 Bin 712 of 1534 Bin 713 of 1534 Bin 714 of 1534 Bin 715 of 1534 Bin 716 of 1534 Bin 717 of 1534 Bin 718 of 1534 Bin 719 of 1534 Bin 720 of 1534 Bin 721 of 1534 Bin 722 of 1534 Bin 723 of 1534 Bin 724 of 1534 Bin 725 of 1534 Bin 726 of 1534 Bin 727 of 1534 Bin 728 of 1534 Bin 729 of 1534 Bin 730 of 1534 Bin 731 of 1534 Bin 732 of 1534 Bin 733 of 1534 Bin 734 of 1534 Bin 735 of 1534 Bin 736 of 1534 Bin 737 of 1534 Bin 738 of 1534 Bin 739 of 1534 Bin 740 of 1534 Bin 741 of 1534 Bin 742 of 1534 Bin 743 of 1534 Bin 744 of 1534 Bin 745 of 1534 Bin 746 of 1534 Bin 747 of 1534 Bin 748 of 1534 Bin 749 of 1534 Bin 750 of 1534 Bin 751 of 1534 Bin 752 of 1534 Bin 753 of 1534 Bin 754 of 1534 Bin 755 of 1534 Bin 756 of 1534 Bin 757 of 1534 Bin 758 of 1534 Bin 759 of 1534 Bin 760 of 1534 Bin 761 of 1534 Bin 762 of 1534 Bin 763 of 1534 Bin 764 of 1534 Bin 765 of 1534 Bin 766 of 1534 Bin 767 of 1534 Bin 768 of 1534 Bin 769 of 1534 Bin 770 of 1534 Bin 771 of 1534 Bin 772 of 1534 Bin 773 of 1534 Bin 774 of 1534 Bin 775 of 1534 Bin 776 of 1534 Bin 777 of 1534 Bin 778 of 1534 Bin 779 of 1534 Bin 780 of 1534 Bin 781 of 1534 Bin 782 of 1534 Bin 783 of 1534 Bin 784 of 1534 Bin 785 of 1534 Bin 786 of 1534 Bin 787 of 1534 Bin 788 of 1534 Bin 789 of 1534 Bin 790 of 1534 Bin 791 of 1534 Bin 792 of 1534 Bin 793 of 1534 Bin 794 of 1534 Bin 795 of 1534 Bin 796 of 1534 Bin 797 of 1534 Bin 798 of 1534 Bin 799 of 1534 Bin 800 of 1534 Bin 801 of 1534 Bin 802 of 1534 Bin 803 of 1534 Bin 804 of 1534 Bin 805 of 1534 Bin 806 of 1534 Bin 807 of 1534 Bin 808 of 1534 Bin 809 of 1534 Bin 810 of 1534 Bin 811 of 1534 Bin 812 of 1534 Bin 813 of 1534 Bin 814 of 1534 Bin 815 of 1534 Bin 816 of 1534 Bin 817 of 1534 Bin 818 of 1534 Bin 819 of 1534 Bin 820 of 1534 Bin 821 of 1534 Bin 822 of 1534 Bin 823 of 1534 Bin 824 of 1534 Bin 825 of 1534 Bin 826 of 1534 Bin 827 of 1534 Bin 828 of 1534 Bin 829 of 1534 Bin 830 of 1534 Bin 831 of 1534 Bin 832 of 1534 Bin 833 of 1534 Bin 834 of 1534 Bin 835 of 1534 Bin 836 of 1534 Bin 837 of 1534 Bin 838 of 1534 Bin 839 of 1534 Bin 840 of 1534 Bin 841 of 1534 Bin 842 of 1534 Bin 843 of 1534 Bin 844 of 1534 Bin 845 of 1534 Bin 846 of 1534 Bin 847 of 1534 Bin 848 of 1534 Bin 849 of 1534 Bin 850 of 1534 Bin 851 of 1534 Bin 852 of 1534 Bin 853 of 1534 Bin 854 of 1534 Bin 855 of 1534 Bin 856 of 1534 Bin 857 of 1534 Bin 858 of 1534 Bin 859 of 1534 Bin 860 of 1534 Bin 861 of 1534 Bin 862 of 1534 Bin 863 of 1534 Bin 864 of 1534 Bin 865 of 1534 Bin 866 of 1534 Bin 867 of 1534 Bin 868 of 1534 Bin 869 of 1534 Bin 870 of 1534 Bin 871 of 1534 Bin 872 of 1534 Bin 873 of 1534 Bin 874 of 1534 Bin 875 of 1534 Bin 876 of 1534 Bin 877 of 1534 Bin 878 of 1534 Bin 879 of 1534 Bin 880 of 1534 Bin 881 of 1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 944 of 1534 Bin 945 of 1534 Bin 946 of 1534 Bin 947 of 1534 Bin 948 of 1534 Bin 949 of 1534 Bin 950 of 1534 Bin 951 of 1534 Bin 952 of 1534 Bin 953 of 1534 Bin 954 of 1534 Bin 955 of 1534 Bin 956 of 1534 Bin 957 of 1534 Bin 958 of 1534 Bin 959 of 1534 Bin 960 of 1534 Bin 961 of 1534 Bin 962 of 1534 Bin 963 of 1534 Bin 964 of 1534 Bin 965 of 1534 Bin 966 of 1534 Bin 967 of 1534 Bin 968 of 1534 Bin 969 of 1534 Bin 970 of 1534 Bin 971 of 1534 Bin 972 of 1534 Bin 973 of 1534 Bin 974 of 1534 Bin 975 of 1534 Bin 976 of 1534 Bin 977 of 1534 Bin 978 of 1534 Bin 979 of 1534 Bin 980 of 1534 Bin 981 of 1534 Bin 982 of 1534 Bin 983 of 1534 Bin 984 of 1534 Bin 985 of 1534 Bin 986 of 1534 Bin 987 of 1534 Bin 988 of 1534 Bin 989 of 1534 Bin 990 of 1534 Bin 991 of 1534 Bin 992 of 1534 Bin 993 of 1534 Bin 994 of 1534 Bin 995 of 1534 Bin 996 of 1534 Bin 997 of 1534 Bin 998 of 1534 Bin 999 of 1534 Bin 1000 of 1534 Bin 1001 of 1534 Bin 1002 of 1534 Bin 1003 of 1534 Bin 1004 of 1534 Bin 1005 of 1534 Bin 1006 of 1534 Bin 1007 of 1534 Bin 1008 of 1534 Bin 1009 of 1534 Bin 1010 of 1534 Bin 1011 of 1534 Bin 1012 of 1534 Bin 1013 of 1534 Bin 1014 of 1534 Bin 1015 of 1534 Bin 1016 of 1534 Bin 1017 of 1534 Bin 1018 of 1534 Bin 1019 of 1534 Bin 1020 of 1534 Bin 1021 of 1534 Bin 1022 of 1534 Bin 1023 of 1534 Bin 1024 of 1534 Bin 1025 of 1534 Bin 1026 of 1534 Bin 1027 of 1534 Bin 1028 of 1534 Bin 1029 of 1534 Bin 1030 of 1534 Bin 1031 of 1534 Bin 1032 of 1534 Bin 1033 of 1534 Bin 1034 of 1534 Bin 1035 of 1534 Bin 1036 of 1534 Bin 1037 of 1534 Bin 1038 of 1534 Bin 1039 of 1534 Bin 1040 of 1534 Bin 1041 of 1534 Bin 1042 of 1534 Bin 1043 of 1534 Bin 1044 of 1534 Bin 1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034753.fit: Median sky-residual chi2 = 1.12311 SKYSUBTRACT: sdR-b2-00034753.fit: Max sky-residual chi2 = 2.86461 QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 27 = 14.9863 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 83 = -10.1104 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 85 = -13.5202 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 110 = -10.1490 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 115 = -13.4834 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 236 = -16.3468 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 262 = 16.2354 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 309 = 18.3003 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Median sky-residual chi = 1.07312 QAPLOT_SKYSUB: sdR-b2-00034753.fit: Max sky-residual chi = 1.90927 at 3808.0330 Ang SKYSUBTRACT: sdR-b2-00034753.fit: Number of sky fibers = 31 SKYSUBTRACT: sdR-b2-00034753.fit: Airmass range = 1.14072 1.17168 SKYSUBTRACT: sdR-b2-00034753.fit: Discarding 0.000582787 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 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1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 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1534 Bin 882 of 1534 Bin 883 of 1534 Bin 884 of 1534 Bin 885 of 1534 Bin 886 of 1534 Bin 887 of 1534 Bin 888 of 1534 Bin 889 of 1534 Bin 890 of 1534 Bin 891 of 1534 Bin 892 of 1534 Bin 893 of 1534 Bin 894 of 1534 Bin 895 of 1534 Bin 896 of 1534 Bin 897 of 1534 Bin 898 of 1534 Bin 899 of 1534 Bin 900 of 1534 Bin 901 of 1534 Bin 902 of 1534 Bin 903 of 1534 Bin 904 of 1534 Bin 905 of 1534 Bin 906 of 1534 Bin 907 of 1534 Bin 908 of 1534 Bin 909 of 1534 Bin 910 of 1534 Bin 911 of 1534 Bin 912 of 1534 Bin 913 of 1534 Bin 914 of 1534 Bin 915 of 1534 Bin 916 of 1534 Bin 917 of 1534 Bin 918 of 1534 Bin 919 of 1534 Bin 920 of 1534 Bin 921 of 1534 Bin 922 of 1534 Bin 923 of 1534 Bin 924 of 1534 Bin 925 of 1534 Bin 926 of 1534 Bin 927 of 1534 Bin 928 of 1534 Bin 929 of 1534 Bin 930 of 1534 Bin 931 of 1534 Bin 932 of 1534 Bin 933 of 1534 Bin 934 of 1534 Bin 935 of 1534 Bin 936 of 1534 Bin 937 of 1534 Bin 938 of 1534 Bin 939 of 1534 Bin 940 of 1534 Bin 941 of 1534 Bin 942 of 1534 Bin 943 of 1534 Bin 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1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034753.fit: Median sky-residual chi2 = 1.09812 SKYSUBTRACT: sdR-b2-00034753.fit: Max sky-residual chi2 = 3.06154 QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 27 = 16.2092 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 85 = -10.0439 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 185 = 10.5727 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 236 = -17.2850 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Warning: Median sky-sub flux in sky fiber 262 = 12.4496 electrons QAPLOT_SKYSUB: sdR-b2-00034753.fit: Median sky-residual chi = 1.06170 QAPLOT_SKYSUB: sdR-b2-00034753.fit: Max sky-residual chi = 2.01936 at 3808.0330 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b2-00034753.fit: Airmass range = 1.14 1.17 QAPLOT_SKYLINE: sdR-b2-00034753.fit: Flux dispersion for skyline 4359.5 = 11.94 % QAPLOT_SKYLINE: sdR-b2-00034753.fit: Airmass range = 1.14 1.17 QAPLOT_SKYLINE: sdR-b2-00034753.fit: Flux dispersion for skyline 5578.9 = 2.11 % SPADD_GUIDERINFO: sdR-b2-00034753.fit: Number of guider frames = 11 SPREDUCE: sdR-b2-00034753.fit: Elapsed time = 219. seconds SPREDUCE: sdR-b2-00034754.fit: Reading object sdR-b2-00034754.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034754.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034754.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034754.fit: Measured read-noise in DN for amp# 2 = 3.84292 SDSSPROC: sdR-b2-00034754.fit: Measured bias value in DN for amp# 2 = 1225.35 SDSSPROC: sdR-b2-00034754.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034754.fit: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: sdR-b2-00034754.fit: Measured read-noise in DN for amp# 3 = 3.27082 SDSSPROC: sdR-b2-00034754.fit: Measured bias value in DN for amp# 3 = 1198.38 SDSSPROC: sdR-b2-00034754.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034754.fit: Amp #3 Number of pix below bias-5*sigma= 1181. DN is 0 SDSSPROC: sdR-b2-00034754.fit: Number of bleading columns = 2 SDSSPROC: sdR-b2-00034754.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034754.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034754.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034754.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034754.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034754.fit: Science 25-th-percentile = 298.682 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b2-00034754.fit: Whopping fibers: 12 14 23 27 32 34 64 70 76 86 102 112 141 149 155 157 205 207 209 275 303 312 315 EXTRACT_OBJECT: sdR-b2-00034754.fit: Median counts in all fibers = 7563.67 EXTRACT_OBJECT: sdR-b2-00034754.fit: Number of bright fibers = 23 EXTRACT_OBJECT: sdR-b2-00034754.fit: Sky fiber median 522.833 EXTRACT_OBJECT: sdR-b2-00034754.fit: 5% and 95% count levels 477.225 20590.5 EXTRACT_OBJECT: sdR-b2-00034754.fit: WARNING: Disable whopping terms sdR-b2-00034754.fit MATCH_TRACE: sdR-b2-00034754.fit: Iteration: 0 Pixels Rejected: 4584 Finished? 0 MATCH_TRACE: sdR-b2-00034754.fit: Iteration: 1 Pixels Rejected: 37 Finished? 0 MATCH_TRACE: sdR-b2-00034754.fit: Iteration: 2 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b2-00034754.fit: Shifting traces by match_trace -0.000610352 EXTRACT_OBJECT: sdR-b2-00034754.fit: Extracting frame sdR-b2-00034754.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034754.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.67 .0001 2 0.91 1.60 .0002 2 0.91 1.73 .0003 1 0.91 1.65 .0004 4 0.91 1.48 .0005 3 0.91 1.57 .0006 2 0.91 1.65 .0007 1 0.91 1.47 .0008 2 0.91 1.62 .0009 2 0.91 1.61 .0010 3 0.91 1.60 .0011 2 0.91 1.54 .0012 1 0.91 1.55 .0013 1 0.91 1.58 .0014 1 0.91 1.52 .0015 3 0.91 1.53 .0016 3 0.91 1.71 .0017 4 0.91 1.58 .0018 2 0.91 1.59 .0019 1 0.91 1.56 .0020 1 0.91 1.52 .0021 2 0.91 1.53 .0022 3 0.91 1.54 .0023 1 0.91 1.55 .0024 2 0.91 1.60 .0025 4 0.91 1.53 .0026 3 0.91 1.57 .0027 3 0.91 1.40 .0028 2 0.91 1.48 .0029 1 0.91 1.39 .0030 3 0.91 1.51 .0031 2 0.91 1.61 .0032 2 0.91 1.46 .0033 3 0.91 1.39 .0034 2 0.91 1.34 .0035 1 0.91 1.49 .0036 1 0.91 1.45 .0037 3 0.91 1.46 .0038 4 0.91 1.42 .0039 1 0.91 1.50 .0040 1 0.91 1.37 .0041 2 0.91 1.31 .0042 1 0.91 1.36 .0043 2 0.91 1.41 .0044 1 0.91 1.39 .0045 3 0.91 1.38 .0046 2 0.91 1.32 .0047 3 0.91 1.30 .0048 3 0.91 1.44 .0049 1 0.91 1.36 .0050 3 0.91 1.34 .0051 3 0.91 1.34 .0052 2 0.91 1.46 .0053 2 0.91 1.37 .0054 1 0.91 1.32 .0055 1 0.91 1.33 .0056 4 0.91 1.43 .0057 3 0.91 1.72 .0058 1 0.91 1.36 .0059 1 0.91 1.37 .0060 1 0.91 1.32 .0061 1 0.91 1.44 .0062 1 0.91 1.51 .0063 1 0.91 1.40 .0064 2 0.91 1.49 .0065 2 0.91 1.50 .0066 2 0.91 1.64 .0067 3 0.91 1.50 .0068 1 0.91 1.61 .0069 1 0.91 1.62 .0070 1 0.91 1.71 .0071 2 0.91 1.74 .0072 5 0.91 1.76 .0073 3 0.91 1.75 .0074 3 0.91 1.75 .0075 3 0.91 2.00 .0076 2 0.91 2.06 .0077 3 0.91 1.67 .0078 1 0.91 1.76 .0079 1 0.91 1.75 .0080 2 0.91 1.89 .0081 2 0.91 1.85 .0082 1 0.91 1.85 .0083 2 0.91 1.93 .0084 4 0.91 1.84 .0085 3 0.91 1.99 .0086 1 0.91 2.00 .0087 2 0.91 2.07 .0088 2 0.91 1.96 .0089 1 0.91 1.95 .0090 2 0.91 1.96 .0091 1 0.91 2.10 .0092 1 0.91 1.87 .0093 1 0.91 2.08 .0094 2 0.91 2.05 .0095 1 0.91 2.02 .0096 1 0.91 2.07 .0097 3 0.91 2.01 .0098 4 0.91 2.03 .0099 3 0.91 2.08 .0100 1 0.91 2.10 .0101 3 0.91 1.99 .0102 3 0.91 2.12 .0103 4 0.91 1.97 .0104 1 0.91 2.11 .0105 2 0.91 2.07 .0106 2 0.91 2.12 .0107 1 0.91 2.25 .0108 2 0.91 2.19 .0109 1 0.91 2.22 .0110 2 0.91 2.17 .0111 2 0.91 2.09 .0112 3 0.91 2.14 .0113 1 0.91 2.11 .0114 1 0.91 2.18 .0115 1 0.91 2.08 .0116 3 0.91 2.04 .0117 3 0.91 2.17 .0118 1 0.91 2.62 .0119 3 0.91 2.18 .0120 1 0.91 2.15 .0121 2 0.91 2.23 .0122 1 0.91 2.10 .0123 3 0.91 2.11 .0124 2 0.91 2.23 .0125 1 0.91 2.23 .0126 2 0.91 2.26 .0127 2 0.91 2.43 .0128 4 0.91 2.36 .0129 2 0.91 2.31 .0130 2 0.91 2.25 .0131 3 0.91 2.17 .0132 2 0.91 2.07 .0133 1 0.91 2.18 .0134 2 0.91 2.16 .0135 1 0.91 2.12 .0136 1 0.91 2.02 .0137 1 0.91 2.16 .0138 2 0.91 2.17 .0139 5 0.91 2.16 .0140 2 0.91 2.06 .0141 3 0.91 2.11 .0142 3 0.91 2.27 .0143 2 0.91 2.28 .0144 1 0.91 2.23 .0145 2 0.91 2.27 .0146 2 0.91 2.27 .0147 1 0.91 2.24 .0148 3 0.91 2.12 .0149 2 0.91 2.52 .0150 1 0.91 2.22 .0151 1 0.91 2.20 .0152 1 0.91 2.20 .0153 2 0.91 2.40 .0154 4 0.91 2.20 .0155 1 0.91 2.14 .0156 2 0.91 2.31 .0157 1 0.91 2.32 .0158 1 0.91 2.34 .0159 2 0.91 2.20 .0160 2 0.91 2.12 .0161 4 0.91 2.16 .0162 3 0.91 2.17 .0163 1 0.91 2.19 .0164 2 0.91 2.19 .0165 1 0.91 2.21 .0166 1 0.91 2.24 .0167 2 0.91 2.33 .0168 1 0.92 2.23 .0169 2 0.92 2.20 .0170 2 0.92 2.23 .0171 3 0.92 2.41 .0172 1 0.92 2.20 .0173 1 0.92 2.26 .0174 2 0.92 2.14 .0175 2 0.92 2.22 .0176 1 0.92 2.18 .0177 1 0.92 2.12 .0178 1 0.92 2.18 .0179 1 0.92 2.21 .0180 1 0.92 2.09 .0181 1 0.92 2.18 .0182 3 0.92 2.27 .0183 3 0.92 2.37 .0184 3 0.92 2.39 .0185 1 0.92 2.46 .0186 1 0.92 2.34 .0187 1 0.92 2.16 .0188 2 0.92 2.23 .0189 3 0.92 2.13 .0190 2 0.92 2.13 .0191 1 0.92 2.23 .0192 2 0.92 2.10 .0193 3 0.92 2.61 .0194 2 0.92 2.26 .0195 1 0.92 2.50 .0196 1 0.92 2.37 .0197 2 0.92 2.39 .0198 1 0.92 2.28 .0199 1 0.92 2.47 .0200 2 0.92 2.42 .0201 1 0.92 2.18 .0202 1 0.92 2.45 .0203 1 0.92 2.24 .0204 1 0.92 2.25 .0205 1 0.92 2.25 .0206 1 0.92 2.18 .0207 1 0.92 2.38 .0208 3 0.92 2.17 .0209 2 0.92 2.22 .0210 2 0.92 2.26 .0211 3 0.92 2.31 .0212 1 0.92 2.31 .0213 2 0.92 2.38 .0214 1 0.92 2.24 .0215 3 0.92 2.38 .0216 2 0.92 2.17 .0217 1 0.92 2.36 .0218 1 0.92 2.27 .0219 1 0.92 2.13 .0220 2 0.92 2.22 .0221 3 0.92 2.17 .0222 1 0.92 2.25 .0223 1 0.92 2.07 .0224 1 0.92 2.27 .0225 2 0.92 2.16 .0226 1 0.92 2.27 .0227 2 0.92 2.15 .0228 1 0.92 2.24 .0229 1 0.92 2.46 .0230 2 0.92 2.25 .0231 1 0.92 2.26 .0232 1 0.92 2.27 .0233 1 0.92 2.38 .0234 1 0.92 2.26 .0235 2 0.92 2.40 .0236 1 0.92 2.60 .0237 2 0.92 2.35 .0238 1 0.92 2.37 .0239 1 0.92 2.33 .0240 2 0.92 2.37 .0241 3 0.92 2.65 .0242 1 0.92 2.25 .0243 2 0.92 2.52 .0244 3 0.92 2.50 .0245 1 0.92 2.52 .0246 1 0.92 2.43 .0247 2 0.92 2.31 .0248 3 0.92 2.58 .0249 3 0.92 2.64 .0250 2 0.92 2.32 .0251 2 0.92 2.54 .0252 2 0.92 2.32 .0253 2 0.92 2.32 .0254 1 0.92 2.38 .0255 2 0.92 2.45 .0256 2 0.92 2.43 .0257 2 0.92 2.41 .0258 3 0.92 2.65 .0259 3 0.92 2.36 .0260 2 0.92 2.39 .0261 1 0.92 2.48 .0262 1 0.92 2.36 .0263 2 0.92 2.59 .0264 1 0.92 2.67 .0265 2 0.92 2.74 .0266 4 0.92 2.73 .0267 1 0.92 2.63 .0268 1 0.92 2.59 .0269 2 0.92 2.59 .0270 4 0.92 2.69 .0271 3 0.92 2.65 .0272 1 0.92 2.62 .0273 1 0.92 2.66 .0274 2 0.92 2.84 .0275 2 0.92 2.59 .0276 1 0.92 2.61 .0277 3 0.92 2.53 .0278 3 0.92 2.62 .0279 1 0.92 3.02 .0280 3 0.92 2.73 .0281 2 0.92 2.74 .0282 2 0.92 2.96 .0283 3 0.92 2.84 .0284 2 0.92 2.88 .0285 2 0.92 3.00 .0286 1 0.92 2.88 .0287 3 0.92 2.92 .0288 3 0.92 3.16 .0289 3 0.92 2.75 .0290 1 0.92 2.79 .0291 2 0.92 2.61 .0292 1 0.92 2.93 .0293 2 0.92 2.87 .0294 1 0.92 2.88 .0295 1 0.92 2.72 .0296 1 0.92 2.81 .0297 1 0.92 2.78 .0298 1 0.92 2.85 .0299 1 0.92 2.67 .0300 2 0.92 2.99 .0301 3 0.92 2.98 .0302 2 0.92 2.79 .0303 3 0.92 2.82 .0304 3 0.92 2.98 .0305 1 0.92 2.95 .0306 2 0.92 2.95 .0307 2 0.92 3.04 .0308 2 0.92 3.10 .0309 1 0.92 2.94 .0310 3 0.92 3.17 .0311 2 0.92 3.19 .0312 1 0.92 2.98 .0313 1 0.92 2.97 .0314 1 0.92 3.00 .0315 1 0.92 3.21 .0316 2 0.92 3.15 .0317 3 0.92 2.98 .0318 2 0.92 3.04 .0319 1 0.92 3.07 .0320 3 0.92 3.06 .0321 4 0.92 3.23 .0322 2 0.92 3.30 .0323 1 0.92 2.98 .0324 2 0.92 3.10 .0325 1 0.92 3.04 .0326 1 0.92 2.90 .0327 2 0.92 3.16 .0328 1 0.92 2.98 .0329 1 0.92 3.11 .0330 2 0.92 2.98 .0331 2 0.92 3.12 .0332 3 0.92 2.99 .0333 3 0.92 3.18 .0334 4 0.92 3.07 .0335 2 0.92 3.35 .0336 2 0.92 3.16 .0337 1 0.92 3.22 .0338 1 0.92 3.21 .0339 3 0.92 3.14 .0340 2 0.92 3.17 .0341 1 0.92 3.07 .0342 1 0.92 3.26 .0343 3 0.92 3.18 .0344 2 0.92 3.34 .0345 1 0.92 3.21 .0346 1 0.92 3.24 .0347 2 0.92 3.23 .0348 1 0.92 3.15 .0349 1 0.92 3.14 .0350 2 0.92 3.18 .0351 1 0.92 3.27 .0352 1 0.92 3.27 .0353 3 0.92 3.20 .0354 1 0.92 3.24 .0355 3 0.92 3.27 .0356 2 0.92 3.52 .0357 2 0.92 3.31 .0358 1 0.92 3.50 .0359 3 0.92 3.36 .0360 3 0.92 3.52 .0361 2 0.92 3.29 .0362 1 0.92 3.45 .0363 1 0.92 3.16 .0364 3 0.92 3.37 .0365 3 0.92 3.13 .0366 3 0.92 3.34 .0367 3 0.92 3.18 .0368 3 0.92 3.31 .0369 3 0.92 3.23 .0370 2 0.92 3.40 .0371 2 0.92 3.33 .0372 2 0.92 3.27 .0373 1 0.92 3.18 .0374 1 0.92 3.31 .0375 2 0.92 3.35 .0376 1 0.92 3.30 .0377 1 0.92 3.29 .0378 2 0.92 3.15 .0379 1 0.92 3.24 .0380 3 0.92 3.34 .0381 3 0.92 3.27 .0382 1 0.92 3.27 .0383 1 0.92 3.57 .0384 1 0.92 3.29 .0385 2 0.92 3.65 .0386 1 0.92 3.14 .0387 1 0.92 3.69 .0388 1 0.92 3.27 .0389 2 0.92 3.17 .0390 3 0.92 3.33 .0391 1 0.92 3.60 .0392 3 0.92 3.32 .0393 1 0.92 3.46 .0394 1 0.92 3.41 .0395 1 0.92 3.18 .0396 1 0.92 3.34 .0397 1 0.92 3.65 .0398 1 0.92 3.30 .0399 1 0.92 3.50 .0400 2 0.92 3.48 .0401 2 0.92 3.62 .0402 2 0.92 3.26 .0403 1 0.92 3.27 .0404 2 0.92 3.47 .0405 1 0.92 3.18 .0406 1 0.93 3.32 .0407 2 0.93 3.24 .0408 1 0.93 3.09 .0409 3 0.93 3.37 .0410 2 0.93 3.55 .0411 3 0.93 3.40 .0412 1 0.93 3.89 .0413 2 0.93 3.09 .0414 1 0.93 3.20 .0415 1 0.93 3.34 .0416 1 0.93 3.37 .0417 1 0.93 3.22 .0418 2 0.93 3.20 .0419 1 0.93 3.26 .0420 2 0.93 3.31 .0421 4 0.93 3.36 .0422 3 0.93 3.36 .0423 3 0.93 3.55 .0424 1 0.93 3.25 .0425 3 0.93 3.29 .0426 3 0.93 3.33 .0427 2 0.93 3.42 .0428 3 0.93 3.22 .0429 1 0.93 3.30 .0430 1 0.93 3.23 .0431 3 0.93 3.35 .0432 3 0.93 3.45 .0433 2 0.93 3.53 .0434 2 0.93 3.42 .0435 1 0.93 3.39 .0436 1 0.93 3.43 .0437 3 0.93 3.56 .0438 4 0.93 3.50 .0439 2 0.93 3.55 .0440 2 0.93 3.42 .0441 1 0.93 3.38 .0442 1 0.93 3.39 .0443 1 0.93 3.29 .0444 1 0.93 3.80 .0445 1 0.93 3.26 .0446 1 0.93 3.42 .0447 1 0.93 3.24 .0448 1 0.93 3.19 .0449 3 0.93 3.36 .0450 2 0.93 3.67 .0451 3 0.93 3.42 .0452 2 0.93 3.82 .0453 1 0.93 3.82 .0454 3 0.93 3.52 .0455 3 0.93 3.57 .0456 1 0.93 3.73 .0457 2 0.93 3.28 .0458 2 0.93 3.41 .0459 1 0.93 3.36 .0460 2 0.93 3.42 .0461 1 0.93 3.24 .0462 2 0.93 3.39 .0463 1 0.93 3.30 .0464 1 0.93 3.19 .0465 3 0.93 3.25 .0466 1 0.93 3.32 .0467 1 0.93 3.47 .0468 1 0.93 3.66 .0469 3 0.93 3.36 .0470 1 0.93 3.36 .0471 1 0.93 3.18 .0472 2 0.93 3.34 .0473 2 0.93 3.37 .0474 1 0.93 3.26 .0475 1 0.93 3.45 .0476 1 0.93 3.43 .0477 1 0.93 3.55 .0478 1 0.93 3.35 .0479 1 0.93 3.66 .0480 3 0.93 3.52 .0481 1 0.93 3.83 .0482 1 0.93 3.41 .0483 1 0.93 3.54 .0484 1 0.93 3.40 .0485 1 0.93 3.46 .0486 1 0.93 3.35 .0487 1 0.93 3.35 .0488 1 0.93 3.30 .0489 1 0.93 3.31 .0490 1 0.93 3.32 .0491 2 0.93 3.40 .0492 1 0.93 3.44 .0493 1 0.93 3.42 .0494 1 0.93 3.42 .0495 2 0.93 3.23 .0496 1 0.93 3.42 .0497 1 0.93 3.35 .0498 1 0.93 3.64 .0499 4 0.93 3.46 .0500 3 0.93 3.97 .0501 1 0.93 3.57 .0502 1 0.93 3.47 .0503 3 0.93 3.31 .0504 2 0.93 3.96 .0505 1 0.93 3.36 .0506 1 0.93 3.32 .0507 1 0.93 3.29 .0508 1 0.93 3.39 .0509 1 0.93 3.37 .0510 1 0.93 3.36 .0511 1 0.93 3.30 .0512 2 0.93 3.29 .0513 2 0.93 3.60 .0514 3 0.93 3.16 .0515 3 0.93 3.25 .0516 1 0.93 3.25 .0517 1 0.93 3.38 .0518 2 0.93 3.30 .0519 2 0.93 3.26 .0520 2 0.93 3.43 .0521 2 0.93 3.37 .0522 2 0.93 3.32 .0523 2 0.93 3.76 .0524 2 0.93 3.39 .0525 2 0.93 3.44 .0526 2 0.93 3.46 .0527 2 0.93 3.50 .0528 1 0.93 3.32 .0529 3 0.93 3.53 .0530 1 0.93 3.38 .0531 2 0.93 3.38 .0532 1 0.93 3.49 .0533 4 0.93 3.23 .0534 3 0.93 3.29 .0535 3 0.93 3.20 .0536 1 0.93 3.54 .0537 2 0.93 3.25 .0538 2 0.93 3.57 .0539 2 0.93 3.52 .0540 1 0.93 3.28 .0541 4 0.93 3.27 .0542 1 0.93 3.50 .0543 3 0.93 3.38 .0544 2 0.93 3.38 .0545 1 0.93 3.66 .0546 1 0.93 3.30 .0547 1 0.93 3.18 .0548 1 0.93 3.37 .0549 3 0.93 3.26 .0550 3 0.93 3.81 .0551 2 0.93 3.17 .0552 1 0.93 3.28 .0553 1 0.93 3.48 .0554 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2 0.91 3.03 .1776 1 0.91 3.01 .1777 1 0.91 2.94 .1778 1 0.91 3.02 .1779 1 0.91 3.08 .1780 2 0.91 3.09 .1781 2 0.91 3.06 .1782 3 0.91 3.39 .1783 2 0.91 3.36 .1784 2 0.91 3.20 .1785 1 0.91 3.55 .1786 1 0.91 3.33 .1787 2 0.91 3.24 .1788 1 0.91 3.36 .1789 2 0.91 3.42 .1790 2 0.91 3.48 .1791 3 0.91 3.55 .1792 1 0.91 3.42 .1793 1 0.91 3.40 .1794 2 0.91 3.40 .1795 1 0.91 3.54 .1796 2 0.91 3.49 .1797 3 0.91 3.36 .1798 2 0.91 3.88 .1799 1 0.91 4.01 .1800 2 0.91 3.56 .1801 2 0.91 3.43 .1802 2 0.91 3.47 .1803 1 0.91 3.48 .1804 3 0.91 3.69 .1805 2 0.91 3.79 .1806 3 0.91 3.84 .1807 3 0.91 3.67 .1808 3 0.91 3.74 .1809 2 0.91 3.61 .1810 1 0.91 3.82 .1811 2 0.91 3.79 .1812 1 0.91 3.67 .1813 1 0.91 3.51 .1814 2 0.91 3.73 .1815 1 0.91 3.74 .1816 1 0.91 3.81 .1817 2 0.91 3.57 .1818 3 0.91 3.61 .1819 3 0.91 3.61 .1820 1 0.91 3.82 .1821 1 0.91 3.89 .1822 3 0.91 3.75 .1823 1 0.91 3.76 .1824 1 0.91 3.59 .1825 1 0.91 3.66 .1826 1 0.91 3.62 .1827 1 0.91 3.80 .1828 1 0.91 3.71 .1829 1 0.91 3.76 .1830 2 0.91 3.65 .1831 1 0.91 3.85 .1832 1 0.91 3.85 .1833 3 0.91 3.91 .1834 2 0.91 3.81 .1835 5 0.91 4.75 .1836 2 0.91 4.82 .1837 3 0.91 3.71 .1838 2 0.91 3.88 .1839 2 0.91 3.90 .1840 1 0.91 3.90 .1841 1 0.91 3.82 .1842 2 0.91 3.87 .1843 2 0.91 3.92 .1844 2 0.91 4.26 .1845 2 0.91 3.96 .1846 3 0.91 3.86 .1847 1 0.91 3.78 .1848 2 0.91 3.78 .1849 2 0.91 3.77 .1850 4 0.91 4.03 .1851 1 0.91 4.63 .1852 3 0.91 3.95 .1853 2 0.91 4.05 .1854 1 0.91 3.91 .1855 1 0.91 3.85 .1856 3 0.91 3.91 .1857 1 0.91 3.82 .1858 1 0.91 3.90 .1859 3 0.91 3.90 .1860 2 0.91 3.86 .1861 1 0.91 3.85 .1862 1 0.91 3.94 .1863 5 0.91 4.09 .1864 2 0.91 3.88 .1865 1 0.91 3.78 .1866 1 0.91 3.82 .1867 1 0.92 4.11 .1868 1 0.92 3.82 .1869 1 0.92 3.74 .1870 2 0.92 3.67 .1871 1 0.92 3.61 .1872 1 0.92 3.57 .1873 1 0.92 3.60 .1874 3 0.92 3.51 .1875 1 0.92 3.64 .1876 1 0.92 3.39 .1877 1 0.92 3.46 .1878 2 0.92 3.44 .1879 1 0.92 3.45 .1880 1 0.92 3.28 .1881 1 0.92 3.57 .1882 1 0.92 3.20 .1883 1 0.92 3.25 .1884 1 0.92 3.15 .1885 1 0.92 2.79 .1886 2 0.92 2.96 .1887 3 0.92 2.73 .1888 2 0.92 2.60 .1889 3 0.92 2.71 .1890 2 0.92 2.80 .1891 2 0.92 2.75 .1892 1 0.92 2.61 .1893 1 0.92 2.68 .1894 3 0.92 2.82 .1895 3 0.92 3.20 .1896 2 0.92 2.74 .1897 3 0.92 2.93 .1898 1 0.92 2.91 .1899 3 0.92 2.83 .1900 3 0.92 2.82 .1901 3 0.92 2.73 .1902 3 0.92 2.76 .1903 2 0.92 2.77 .1904 2 0.92 2.90 .1905 2 0.92 3.08 .1906 1 0.92 3.06 .1907 1 0.92 2.90 .1908 1 0.92 3.02 .1909 1 0.92 3.06 .1910 1 0.92 3.20 .1911 2 0.92 3.08 .1912 2 0.92 3.14 .1913 1 0.92 3.24 .1914 1 0.92 3.26 .1915 1 0.92 3.41 .1916 1 0.92 3.50 .1917 2 0.92 3.36 .1918 1 0.92 3.73 .1919 1 0.92 3.19 .1920 1 0.92 3.10 .1921 1 0.92 3.00 .1922 2 0.92 3.08 .1923 1 0.92 2.94 .1924 1 0.92 3.05 .1925 1 0.92 3.21 .1926 1 0.92 3.28 .1927 1 0.92 3.15 .1928 2 0.92 3.33 .1929 3 0.92 3.16 .1930 3 0.92 3.36 .1931 2 0.92 3.37 .1932 1 0.92 3.37 .1933 1 0.92 3.40 .1934 3 0.92 3.41 .1935 3 0.92 3.47 .1936 4 0.92 3.65 .1937 1 0.92 3.26 .1938 1 0.92 3.29 .1939 2 0.92 3.38 .1940 2 0.92 3.33 .1941 2 0.92 3.31 .1942 3 0.92 3.40 .1943 3 0.92 3.27 .1944 3 0.92 3.30 .1945 2 0.92 3.27 .1946 1 0.92 3.43 .1947 1 0.92 3.38 .1948 1 0.92 3.52 .1949 1 0.92 3.61 .1950 3 0.92 3.92 .1951 2 0.92 3.69 .1952 1 0.92 3.45 .1953 1 0.92 3.52 .1954 1 0.92 3.42 .1955 1 0.92 3.30 .1956 3 0.92 3.38 .1957 2 0.92 3.20 .1958 1 0.92 3.41 .1959 1 0.92 3.22 .1960 1 0.92 3.14 .1961 3 0.92 3.11 .1962 1 0.92 2.95 .1963 1 0.92 2.90 .1964 2 0.92 3.12 .1965 3 0.92 2.62 .1966 2 0.92 2.82 .1967 2 0.93 2.73 .1968 1 0.93 2.69 .1969 3 0.93 2.70 .1970 2 0.93 2.96 .1971 2 0.93 2.59 .1972 1 0.93 2.67 .1973 2 0.93 2.61 .1974 1 0.93 2.61 .1975 2 0.93 2.60 .1976 2 0.93 2.71 .1977 2 0.93 2.72 .1978 2 0.93 2.80 .1979 4 0.93 2.61 .1980 2 0.93 3.02 .1981 2 0.93 2.86 .1982 2 0.93 2.86 .1983 2 0.93 2.65 .1984 3 0.93 2.85 .1985 2 0.93 2.69 .1986 2 0.93 2.85 .1987 2 0.93 2.95 .1988 2 0.93 2.86 .1989 2 0.93 3.04 .1990 1 0.93 2.90 .1991 3 0.93 3.22 .1992 3 0.93 3.16 .1993 3 0.93 3.12 .1994 1 0.93 3.33 .1995 3 0.93 3.37 .1996 2 0.93 3.17 .1997 2 0.93 3.45 .1998 2 0.93 3.55 .1999 2 0.93 3.20 .2000 3 0.93 3.25 .2001 3 0.93 3.26 .2002 1 0.93 3.41 .2003 2 0.93 3.51 .2004 2 0.93 3.47 .2005 2 0.93 3.71 .2006 2 0.93 3.33 .2007 2 0.93 3.45 .2008 1 0.93 3.48 .2009 2 0.93 3.30 .2010 2 0.93 3.17 .2011 3 0.93 2.97 .2012 1 0.93 3.07 .2013 1 0.93 3.02 .2014 1 0.93 3.08 .2015 1 0.93 3.09 .2016 1 0.93 2.90 .2017 1 0.93 2.75 .2018 1 0.93 2.71 .2019 1 0.93 2.47 .2020 1 0.93 2.60 .2021 1 0.93 2.56 .2022 1 0.93 2.45 .2023 1 0.93 2.47 .2024 2 0.93 2.71 .2025 2 0.93 2.53 .2026 2 0.93 2.62 .2027 2 0.93 2.54 .2028 2 0.93 2.48 .2029 2 0.93 2.45 .2030 1 0.93 2.32 .2031 2 0.93 2.42 .2032 2 0.93 2.44 .2033 1 0.93 2.57 .2034 2 0.93 2.49 .2035 2 0.93 2.54 .2036 1 0.93 2.49 .2037 1 0.93 2.34 .2038 2 0.93 2.56 .2039 3 0.93 2.42 .2040 1 0.94 2.59 .2041 2 0.94 2.39 .2042 1 0.94 2.53 .2043 1 0.94 2.59 .2044 1 0.94 2.49 .2045 1 0.94 2.65 .2046 3 0.94 2.63 .2047 3 0.94 2.70 EXTRACT_IMAGE: sdR-b2-00034754.fit: masked 2169 pixels EXTRACT_OBJECT: sdR-b2-00034754.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034754.fit: WARNING: Scattered light median = 69.0342 electrons QAPLOT_SCATLIGHT: sdR-b2-00034754.fit: WARNING: Scattered light max = 119.041 electrons EXTRACT_OBJECT: sdR-b2-00034754.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034754.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034754.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034754.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 32 0.01 0.05 Step 10 of 2080 0.62 32 0.01 0.05 Step 14 of 2080 0.62 64 0.03 0.12 Step 18 of 2080 0.61 64 0.02 0.11 Step 22 of 2080 0.61 64 0.02 0.11 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.02 0.12 Step 34 of 2080 0.61 64 0.03 0.12 Step 38 of 2080 0.61 64 0.02 0.11 Step 42 of 2080 0.61 64 0.02 0.11 Step 46 of 2080 0.61 64 0.02 0.12 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.02 0.12 Step 58 of 2080 0.61 64 0.02 0.12 Step 62 of 2080 0.61 64 0.02 0.12 Step 66 of 2080 0.61 64 0.02 0.11 Step 70 of 2080 0.61 64 0.02 0.11 Step 74 of 2080 0.61 64 0.02 0.12 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.02 0.11 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.61 64 0.02 0.11 Step 94 of 2080 0.61 64 0.02 0.12 Step 98 of 2080 0.60 64 0.02 0.12 Step 102 of 2080 0.60 64 0.02 0.11 Step 106 of 2080 0.60 64 0.02 0.12 Step 110 of 2080 0.60 64 0.02 0.13 Step 114 of 2080 0.60 64 0.02 0.11 Step 118 of 2080 0.60 64 0.02 0.11 Step 122 of 2080 0.60 64 0.02 0.11 Step 126 of 2080 0.60 64 0.03 0.11 Step 130 of 2080 0.60 64 0.02 0.11 Step 134 of 2080 0.60 64 0.02 0.13 Step 138 of 2080 0.60 64 0.02 0.11 Step 142 of 2080 0.60 64 0.02 0.11 Step 146 of 2080 0.60 64 0.03 0.11 Step 150 of 2080 0.60 64 0.03 0.11 Step 154 of 2080 0.60 64 0.03 0.11 Step 158 of 2080 0.60 64 0.03 0.11 Step 162 of 2080 0.60 64 0.03 0.13 Step 166 of 2080 0.60 64 0.04 0.12 Step 170 of 2080 0.60 64 0.03 0.11 Step 174 of 2080 0.60 64 0.03 0.12 Step 178 of 2080 0.59 64 0.03 0.12 Step 182 of 2080 0.59 64 0.03 0.12 Step 186 of 2080 0.59 64 0.03 0.11 Step 190 of 2080 0.59 64 0.03 0.11 Step 194 of 2080 0.59 64 0.02 0.11 Step 198 of 2080 0.59 64 0.03 0.11 Step 202 of 2080 0.59 64 0.02 0.11 Step 206 of 2080 0.59 64 0.02 0.12 Step 210 of 2080 0.59 64 0.03 0.11 Step 214 of 2080 0.59 64 0.02 0.11 Step 218 of 2080 0.59 64 0.02 0.11 Step 222 of 2080 0.59 64 0.03 0.11 Step 226 of 2080 0.59 64 0.03 0.11 Step 230 of 2080 0.59 64 0.03 0.11 Step 234 of 2080 0.59 64 0.03 0.11 Step 238 of 2080 0.59 64 0.03 0.12 Step 242 of 2080 0.59 64 0.03 0.12 Step 246 of 2080 0.59 64 0.03 0.13 Step 250 of 2080 0.59 64 0.03 0.12 Step 254 of 2080 0.59 64 0.03 0.11 Step 258 of 2080 0.58 64 0.02 0.11 Step 262 of 2080 0.58 64 0.03 0.11 Step 266 of 2080 0.58 64 0.03 0.11 Step 270 of 2080 0.58 64 0.02 0.11 Step 274 of 2080 0.58 64 0.03 0.11 Step 278 of 2080 0.58 64 0.03 0.11 Step 282 of 2080 0.58 64 0.02 0.12 Step 286 of 2080 0.58 64 0.03 0.11 Step 290 of 2080 0.58 64 0.03 0.12 Step 294 of 2080 0.58 64 0.03 0.11 Step 298 of 2080 0.58 64 0.03 0.13 Step 302 of 2080 0.58 64 0.02 0.13 Step 306 of 2080 0.58 64 0.03 0.11 Step 310 of 2080 0.58 64 0.02 0.11 Step 314 of 2080 0.58 64 0.03 0.12 Step 318 of 2080 0.58 64 0.03 0.12 Step 322 of 2080 0.58 64 0.03 0.12 Step 326 of 2080 0.58 64 0.03 0.11 Step 330 of 2080 0.58 64 0.03 0.12 Step 334 of 2080 0.58 64 0.03 0.12 Step 338 of 2080 0.57 64 0.03 0.12 Step 342 of 2080 0.57 64 0.03 0.12 Step 346 of 2080 0.57 64 0.04 0.12 Step 350 of 2080 0.57 64 0.02 0.12 Step 354 of 2080 0.57 64 0.02 0.11 Step 358 of 2080 0.57 64 0.02 0.11 Step 362 of 2080 0.57 64 0.02 0.11 Step 366 of 2080 0.57 64 0.02 0.11 Step 370 of 2080 0.57 64 0.02 0.12 Step 374 of 2080 0.57 64 0.01 0.11 Step 378 of 2080 0.57 64 0.01 0.11 Step 382 of 2080 0.57 64 0.02 0.11 Step 386 of 2080 0.57 64 0.02 0.12 Step 390 of 2080 0.57 64 0.02 0.11 Step 394 of 2080 0.57 64 0.02 0.11 Step 398 of 2080 0.57 64 0.02 0.10 Step 402 of 2080 0.57 64 0.02 0.11 Step 406 of 2080 0.57 64 0.02 0.11 Step 410 of 2080 0.57 64 0.02 0.11 Step 414 of 2080 0.57 64 0.02 0.12 Step 418 of 2080 0.57 64 0.02 0.11 Step 422 of 2080 0.56 64 0.02 0.11 Step 426 of 2080 0.56 64 0.02 0.12 Step 430 of 2080 0.56 64 0.02 0.11 Step 434 of 2080 0.56 64 0.02 0.11 Step 438 of 2080 0.56 64 0.02 0.11 Step 442 of 2080 0.56 64 0.02 0.10 Step 446 of 2080 0.56 64 0.02 0.10 Step 450 of 2080 0.56 64 0.02 0.13 Step 454 of 2080 0.56 64 0.03 0.13 Step 458 of 2080 0.56 64 0.02 0.12 Step 462 of 2080 0.56 64 0.02 0.11 Step 466 of 2080 0.56 64 0.02 0.11 Step 470 of 2080 0.56 64 0.03 0.11 Step 474 of 2080 0.56 64 0.02 0.11 Step 478 of 2080 0.56 64 0.02 0.11 Step 482 of 2080 0.56 64 0.02 0.11 Step 486 of 2080 0.56 64 0.02 0.11 Step 490 of 2080 0.56 64 0.02 0.11 Step 494 of 2080 0.56 64 0.02 0.11 Step 498 of 2080 0.56 64 0.02 0.12 Step 502 of 2080 0.55 64 0.02 0.12 Step 506 of 2080 0.55 64 0.02 0.12 Step 510 of 2080 0.55 64 0.02 0.13 Step 514 of 2080 0.55 64 0.03 0.12 Step 518 of 2080 0.55 64 0.02 0.14 Step 522 of 2080 0.55 64 0.02 0.11 Step 526 of 2080 0.55 64 0.02 0.11 Step 530 of 2080 0.55 64 0.02 0.11 Step 534 of 2080 0.55 64 0.02 0.11 Step 538 of 2080 0.55 64 0.02 0.11 Step 542 of 2080 0.55 64 0.02 0.12 Step 546 of 2080 0.55 64 0.02 0.12 Step 550 of 2080 0.55 64 0.02 0.13 Step 554 of 2080 0.55 64 0.02 0.12 Step 558 of 2080 0.55 64 0.01 0.11 Step 562 of 2080 0.55 64 0.02 0.13 Step 566 of 2080 0.55 64 0.02 0.13 Step 570 of 2080 0.55 64 0.03 0.13 Step 574 of 2080 0.55 64 0.02 0.13 Step 578 of 2080 0.55 64 0.03 0.12 Step 582 of 2080 0.54 64 0.03 0.13 Step 586 of 2080 0.54 64 0.03 0.13 Step 590 of 2080 0.54 64 0.03 0.11 Step 594 of 2080 0.54 64 0.03 0.12 Step 598 of 2080 0.54 64 0.03 0.11 Step 602 of 2080 0.54 64 0.03 0.12 Step 606 of 2080 0.54 64 0.03 0.11 Step 610 of 2080 0.54 64 0.03 0.11 Step 614 of 2080 0.54 64 0.03 0.12 Step 618 of 2080 0.54 64 0.03 0.11 Step 622 of 2080 0.54 64 0.03 0.12 Step 626 of 2080 0.54 64 0.03 0.11 Step 630 of 2080 0.54 64 0.03 0.14 Step 634 of 2080 0.54 64 0.03 0.11 Step 638 of 2080 0.54 64 0.03 0.11 Step 642 of 2080 0.54 64 0.03 0.12 Step 646 of 2080 0.54 64 0.03 0.12 Step 650 of 2080 0.54 64 0.03 0.12 Step 654 of 2080 0.54 64 0.03 0.12 Step 658 of 2080 0.54 64 0.03 0.13 Step 662 of 2080 0.54 64 0.03 0.11 Step 666 of 2080 0.53 64 0.03 0.12 Step 670 of 2080 0.53 64 0.03 0.11 Step 674 of 2080 0.53 64 0.03 0.13 Step 678 of 2080 0.53 64 0.02 0.13 Step 682 of 2080 0.53 64 0.03 0.12 Step 686 of 2080 0.53 64 0.03 0.12 Step 690 of 2080 0.53 64 0.03 0.12 Step 694 of 2080 0.53 64 0.03 0.12 Step 698 of 2080 0.53 64 0.03 0.12 Step 702 of 2080 0.53 64 0.03 0.11 Step 706 of 2080 0.53 64 0.03 0.12 Step 710 of 2080 0.53 64 0.04 0.11 Step 714 of 2080 0.53 64 0.03 0.12 Step 718 of 2080 0.53 64 0.03 0.12 Step 722 of 2080 0.53 64 0.03 0.12 Step 726 of 2080 0.53 64 0.03 0.13 Step 730 of 2080 0.53 64 0.04 0.14 Step 734 of 2080 0.53 64 0.03 0.12 Step 738 of 2080 0.53 64 0.03 0.12 Step 742 of 2080 0.53 64 0.03 0.13 Step 746 of 2080 0.53 64 0.03 0.14 Step 750 of 2080 0.52 64 0.03 0.14 Step 754 of 2080 0.52 64 0.03 0.13 Step 758 of 2080 0.52 64 0.03 0.13 Step 762 of 2080 0.52 64 0.03 0.12 Step 766 of 2080 0.52 64 0.03 0.12 Step 770 of 2080 0.52 64 0.03 0.11 Step 774 of 2080 0.52 64 0.03 0.11 Step 778 of 2080 0.52 64 0.03 0.12 Step 782 of 2080 0.52 64 0.03 0.13 Step 786 of 2080 0.52 64 0.03 0.11 Step 790 of 2080 0.52 64 0.03 0.13 Step 794 of 2080 0.52 64 0.03 0.12 Step 798 of 2080 0.52 64 0.03 0.14 Step 802 of 2080 0.52 64 0.03 0.11 Step 806 of 2080 0.52 64 0.03 0.12 Step 810 of 2080 0.52 64 0.03 0.11 Step 814 of 2080 0.52 64 0.03 0.11 Step 818 of 2080 0.52 64 0.03 0.12 Step 822 of 2080 0.52 64 0.03 0.12 Step 826 of 2080 0.52 64 0.03 0.13 Step 830 of 2080 0.52 64 0.03 0.12 Step 834 of 2080 0.51 64 0.02 0.12 Step 838 of 2080 0.51 64 0.03 0.12 Step 842 of 2080 0.51 64 0.03 0.12 Step 846 of 2080 0.51 64 0.03 0.13 Step 850 of 2080 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of 2080 0.40 64 0.03 0.12 Step 1858 of 2080 0.40 64 0.04 0.12 Step 1862 of 2080 0.40 64 0.04 0.12 Step 1866 of 2080 0.40 64 0.03 0.12 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.03 0.12 Step 1878 of 2080 0.40 64 0.04 0.12 Step 1882 of 2080 0.40 64 0.04 0.13 Step 1886 of 2080 0.40 64 0.03 0.12 Step 1890 of 2080 0.40 64 0.03 0.12 Step 1894 of 2080 0.40 64 0.03 0.13 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.03 0.12 Step 1906 of 2080 0.40 64 0.03 0.12 Step 1910 of 2080 0.39 64 0.03 0.12 Step 1914 of 2080 0.39 64 0.03 0.12 Step 1918 of 2080 0.39 64 0.03 0.12 Step 1922 of 2080 0.39 64 0.03 0.13 Step 1926 of 2080 0.39 64 0.03 0.11 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.03 0.13 Step 1938 of 2080 0.39 64 0.03 0.12 Step 1942 of 2080 0.39 64 0.03 0.12 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.13 Step 1954 of 2080 0.39 64 0.03 0.11 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.03 0.12 Step 1966 of 2080 0.39 64 0.03 0.12 Step 1970 of 2080 0.39 64 0.03 0.12 Step 1974 of 2080 0.39 64 0.03 0.12 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.12 Step 1986 of 2080 0.39 64 0.03 0.13 Step 1990 of 2080 0.39 64 0.03 0.12 Step 1994 of 2080 0.39 64 0.03 0.11 Step 1998 of 2080 0.39 64 0.03 0.11 Step 2002 of 2080 0.39 64 0.03 0.12 Step 2006 of 2080 0.39 64 0.03 0.11 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.11 Step 2018 of 2080 0.38 64 0.03 0.11 Step 2022 of 2080 0.38 64 0.03 0.13 Step 2026 of 2080 0.38 64 0.03 0.11 Step 2030 of 2080 0.38 64 0.02 0.11 Step 2034 of 2080 0.38 64 0.03 0.11 Step 2038 of 2080 0.38 64 0.03 0.11 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 64 0.03 0.12 Step 2050 of 2080 0.38 64 0.03 0.12 Step 2054 of 2080 0.38 64 0.03 0.11 Step 2058 of 2080 0.38 64 0.03 0.11 Step 2062 of 2080 0.38 64 0.03 0.12 Step 2066 of 2080 0.38 64 0.03 0.11 Step 2070 of 2080 0.38 64 0.03 0.12 Step 2074 of 2080 0.38 64 0.03 0.13 Step 2078 of 2080 0.38 64 0.03 0.12 EXTRACT_OBJECT: sdR-b2-00034754.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 1 0.91 1.97 .0001 3 0.91 2.25 .0002 2 0.91 2.64 .0003 1 0.91 2.76 .0004 4 0.91 2.63 .0005 3 0.91 2.60 .0006 2 0.91 2.62 .0007 1 0.91 2.63 .0008 2 0.91 2.55 .0009 2 0.91 2.47 .0010 2 0.91 2.65 .0011 2 0.91 2.26 .0012 1 0.91 2.19 .0013 1 0.91 2.33 .0014 1 0.91 2.20 .0015 3 0.91 2.01 .0016 3 0.91 2.37 .0017 4 0.91 2.11 .0018 2 0.91 2.13 .0019 1 0.91 1.87 .0020 1 0.91 1.89 .0021 2 0.91 1.91 .0022 3 0.91 1.82 .0023 1 0.91 1.93 .0024 2 0.91 1.81 .0025 4 0.91 1.72 .0026 3 0.91 1.71 .0027 3 0.91 1.56 .0028 2 0.91 1.59 .0029 1 0.91 1.51 .0030 3 0.91 1.54 .0031 2 0.91 1.64 .0032 2 0.91 1.53 .0033 3 0.91 1.42 .0034 2 0.91 1.38 .0035 1 0.91 1.45 .0036 1 0.91 1.40 .0037 3 0.91 1.40 .0038 4 0.91 1.35 .0039 1 0.91 1.44 .0040 1 0.91 1.32 .0041 2 0.91 1.23 .0042 1 0.91 1.27 .0043 2 0.91 1.34 .0044 1 0.91 1.28 .0045 3 0.91 1.29 .0046 2 0.91 1.26 .0047 3 0.91 1.22 .0048 3 0.91 1.31 .0049 1 0.91 1.29 .0050 3 0.91 1.25 .0051 3 0.91 1.22 .0052 2 0.91 1.26 .0053 2 0.91 1.26 .0054 1 0.91 1.24 .0055 1 0.91 1.24 .0056 4 0.91 1.33 .0057 3 0.91 1.58 .0058 1 0.91 1.24 .0059 1 0.91 1.27 .0060 1 0.91 1.20 .0061 1 0.91 1.32 .0062 1 0.91 1.41 .0063 1 0.91 1.29 .0064 2 0.91 1.38 .0065 2 0.91 1.40 .0066 2 0.91 1.53 .0067 3 0.91 1.39 .0068 1 0.91 1.50 .0069 1 0.91 1.53 .0070 1 0.91 1.57 .0071 2 0.91 1.61 .0072 4 0.91 1.63 .0073 3 0.91 1.61 .0074 3 0.91 1.68 .0075 3 0.91 1.90 .0076 2 0.91 1.97 .0077 3 0.91 1.55 .0078 1 0.91 1.63 .0079 1 0.91 1.69 .0080 2 0.91 1.79 .0081 2 0.91 1.72 .0082 1 0.91 1.71 .0083 2 0.91 1.81 .0084 4 0.91 1.74 .0085 3 0.91 1.88 .0086 1 0.91 1.82 .0087 2 0.91 1.93 .0088 2 0.91 1.82 .0089 1 0.91 1.81 .0090 2 0.91 1.82 .0091 1 0.91 1.91 .0092 1 0.91 1.73 .0093 1 0.91 1.96 .0094 2 0.91 1.88 .0095 1 0.91 1.86 .0096 1 0.91 1.93 .0097 3 0.91 1.91 .0098 4 0.91 1.92 .0099 3 0.91 1.93 .0100 1 0.91 1.95 .0101 3 0.91 1.82 .0102 3 0.91 1.95 .0103 4 0.91 1.81 .0104 1 0.91 1.97 .0105 2 0.91 1.90 .0106 2 0.91 1.94 .0107 1 0.91 2.06 .0108 2 0.91 2.02 .0109 1 0.91 2.05 .0110 2 0.91 2.01 .0111 2 0.91 1.93 .0112 3 0.91 1.97 .0113 1 0.91 1.93 .0114 1 0.91 2.00 .0115 1 0.91 1.93 .0116 3 0.91 1.90 .0117 3 0.91 1.98 .0118 1 0.91 2.41 .0119 3 0.91 2.01 .0120 1 0.91 2.00 .0121 2 0.91 2.09 .0122 1 0.91 1.91 .0123 3 0.91 1.93 .0124 2 0.91 2.06 .0125 1 0.91 2.02 .0126 2 0.91 2.07 .0127 2 0.91 2.27 .0128 4 0.91 2.14 .0129 2 0.91 2.11 .0130 2 0.91 2.06 .0131 3 0.91 1.99 .0132 2 0.91 1.90 .0133 1 0.91 2.00 .0134 2 0.91 1.97 .0135 1 0.91 1.92 .0136 1 0.91 1.83 .0137 1 0.91 1.99 .0138 2 0.91 1.91 .0139 4 0.91 1.96 .0140 2 0.91 1.85 .0141 3 0.91 1.89 .0142 3 0.91 2.12 .0143 2 0.91 2.06 .0144 1 0.91 2.00 .0145 2 0.91 2.04 .0146 2 0.91 2.07 .0147 1 0.91 2.03 .0148 3 0.91 1.89 .0149 2 0.91 2.31 .0150 1 0.91 1.97 .0151 1 0.91 2.00 .0152 1 0.91 1.99 .0153 2 0.91 2.18 .0154 4 0.91 1.99 .0155 1 0.91 1.93 .0156 2 0.91 2.07 .0157 1 0.91 2.09 .0158 1 0.91 2.10 .0159 2 0.91 1.97 .0160 2 0.91 1.94 .0161 4 0.91 1.95 .0162 3 0.91 1.97 .0163 1 0.91 1.96 .0164 2 0.91 1.99 .0165 1 0.91 2.00 .0166 1 0.91 2.00 .0167 2 0.91 2.11 .0168 1 0.92 2.00 .0169 2 0.92 1.99 .0170 2 0.92 1.99 .0171 3 0.92 2.17 .0172 1 0.92 2.02 .0173 1 0.92 2.05 .0174 2 0.92 1.90 .0175 2 0.92 2.04 .0176 1 0.92 1.97 .0177 1 0.92 1.88 .0178 1 0.92 1.96 .0179 1 0.92 1.99 .0180 1 0.92 1.87 .0181 1 0.92 1.97 .0182 3 0.92 2.02 .0183 3 0.92 2.15 .0184 3 0.92 2.19 .0185 1 0.92 2.20 .0186 1 0.92 2.08 .0187 1 0.92 1.95 .0188 2 0.92 2.00 .0189 3 0.92 1.93 .0190 2 0.92 1.91 .0191 1 0.92 2.00 .0192 2 0.92 1.92 .0193 3 0.92 2.40 .0194 2 0.92 2.05 .0195 1 0.92 2.27 .0196 1 0.92 2.11 .0197 2 0.92 2.13 .0198 1 0.92 2.04 .0199 1 0.92 2.20 .0200 2 0.92 2.13 .0201 1 0.92 1.96 .0202 1 0.92 2.21 .0203 1 0.92 2.00 .0204 1 0.92 2.04 .0205 1 0.92 2.04 .0206 1 0.92 1.94 .0207 1 0.92 2.13 .0208 3 0.92 1.95 .0209 2 0.92 1.96 .0210 2 0.92 2.03 .0211 3 0.92 2.05 .0212 1 0.92 2.06 .0213 2 0.92 2.12 .0214 1 0.92 2.00 .0215 3 0.92 2.14 .0216 2 0.92 1.96 .0217 1 0.92 2.10 .0218 1 0.92 2.01 .0219 1 0.92 1.92 .0220 2 0.92 2.00 .0221 3 0.92 1.90 .0222 1 0.92 2.01 .0223 1 0.92 1.84 .0224 1 0.92 2.01 .0225 2 0.92 1.95 .0226 1 0.92 1.99 .0227 2 0.92 1.91 .0228 1 0.92 2.01 .0229 1 0.92 2.23 .0230 2 0.92 2.02 .0231 1 0.92 2.01 .0232 1 0.92 2.01 .0233 1 0.92 2.13 .0234 1 0.92 2.00 .0235 2 0.92 2.12 .0236 1 0.92 2.33 .0237 2 0.92 2.13 .0238 1 0.92 2.08 .0239 1 0.92 2.05 .0240 2 0.92 2.12 .0241 4 0.92 2.25 .0242 1 0.92 1.97 .0243 2 0.92 2.26 .0244 3 0.92 2.27 .0245 1 0.92 2.27 .0246 1 0.92 2.14 .0247 2 0.92 2.05 .0248 3 0.92 2.27 .0249 3 0.92 2.40 .0250 2 0.92 2.11 .0251 2 0.92 2.23 .0252 2 0.92 2.09 .0253 2 0.92 2.07 .0254 1 0.92 2.12 .0255 2 0.92 2.17 .0256 2 0.92 2.18 .0257 2 0.92 2.15 .0258 3 0.92 2.36 .0259 3 0.92 2.10 .0260 2 0.92 2.11 .0261 1 0.92 2.21 .0262 1 0.92 2.09 .0263 2 0.92 2.31 .0264 1 0.92 2.35 .0265 2 0.92 2.48 .0266 4 0.92 2.45 .0267 1 0.92 2.38 .0268 1 0.92 2.33 .0269 2 0.92 2.27 .0270 4 0.92 2.37 .0271 3 0.92 2.38 .0272 1 0.92 2.35 .0273 1 0.92 2.39 .0274 2 0.92 2.57 .0275 2 0.92 2.30 .0276 1 0.92 2.30 .0277 3 0.92 2.25 .0278 3 0.92 2.33 .0279 1 0.92 2.72 .0280 3 0.92 2.46 .0281 2 0.92 2.45 .0282 2 0.92 2.67 .0283 3 0.92 2.52 .0284 2 0.92 2.56 .0285 2 0.92 2.72 .0286 1 0.92 2.62 .0287 3 0.92 2.61 .0288 3 0.92 2.88 .0289 3 0.92 2.41 .0290 1 0.92 2.47 .0291 2 0.92 2.30 .0292 1 0.92 2.59 .0293 2 0.92 2.52 .0294 1 0.92 2.59 .0295 1 0.92 2.40 .0296 1 0.92 2.48 .0297 1 0.92 2.47 .0298 1 0.92 2.51 .0299 1 0.92 2.41 .0300 2 0.92 2.66 .0301 3 0.92 2.66 .0302 2 0.92 2.47 .0303 3 0.92 2.54 .0304 3 0.92 2.66 .0305 1 0.92 2.59 .0306 2 0.92 2.61 .0307 2 0.92 2.73 .0308 2 0.92 2.74 .0309 1 0.92 2.59 .0310 3 0.92 2.82 .0311 2 0.92 2.83 .0312 1 0.92 2.66 .0313 1 0.92 2.64 .0314 1 0.92 2.67 .0315 1 0.92 2.86 .0316 2 0.92 2.81 .0317 3 0.92 2.63 .0318 2 0.92 2.67 .0319 1 0.92 2.70 .0320 3 0.92 2.70 .0321 4 0.92 2.92 .0322 2 0.92 2.95 .0323 1 0.92 2.67 .0324 2 0.92 2.74 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2.18 .0198 2 0.92 2.12 .0199 1 0.92 2.25 .0200 2 0.92 2.26 .0201 1 0.92 2.09 .0202 2 0.92 2.21 .0203 1 0.92 2.16 .0204 1 0.92 2.18 .0205 1 0.92 2.16 .0206 1 0.92 2.11 .0207 1 0.92 2.22 .0208 3 0.92 2.06 .0209 2 0.92 2.09 .0210 2 0.92 2.16 .0211 3 0.92 2.14 .0212 1 0.92 2.16 .0213 2 0.92 2.25 .0214 2 0.92 2.17 .0215 3 0.92 2.24 .0216 2 0.92 2.09 .0217 1 0.92 2.23 .0218 1 0.92 2.15 .0219 1 0.92 2.04 .0220 2 0.92 2.13 .0221 3 0.92 2.03 .0222 1 0.92 2.12 .0223 1 0.92 1.97 .0224 1 0.92 2.12 .0225 3 0.92 2.06 .0226 2 0.92 2.15 .0227 2 0.92 2.02 .0228 1 0.92 2.17 .0229 2 0.92 2.17 .0230 2 0.92 2.12 .0231 1 0.92 2.08 .0232 1 0.92 2.16 .0233 2 0.92 2.12 .0234 1 0.92 2.09 .0235 2 0.92 2.21 .0236 2 0.92 2.27 .0237 2 0.92 2.23 .0238 1 0.92 2.21 .0239 1 0.92 2.14 .0240 2 0.92 2.29 .0241 4 0.92 2.22 .0242 1 0.92 2.08 .0243 3 0.92 2.31 .0244 4 0.92 2.35 .0245 2 0.92 2.22 .0246 1 0.92 2.24 .0247 2 0.92 2.15 .0248 2 0.92 2.31 .0249 3 0.92 2.34 .0250 2 0.92 2.19 .0251 3 0.92 2.14 .0252 2 0.92 2.17 .0253 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1 0.91 2.34 .1475 1 0.91 2.26 .1476 1 0.91 2.25 .1477 2 0.91 2.35 .1478 2 0.91 2.37 .1479 3 0.91 2.47 .1480 3 0.91 2.59 .1481 4 0.91 2.32 .1482 6 0.91 2.25 .1483 3 0.91 2.30 .1484 3 0.91 2.37 .1485 3 0.91 2.28 .1486 3 0.91 2.26 .1487 4 0.91 2.10 .1488 3 0.91 2.36 .1489 4 0.91 2.20 .1490 1 0.91 2.18 .1491 1 0.91 2.36 .1492 4 0.91 2.48 .1493 2 0.91 2.31 .1494 2 0.91 2.27 .1495 2 0.91 2.23 .1496 3 0.91 2.28 .1497 3 0.91 2.30 .1498 6 0.91 2.25 .1499 2 0.91 2.64 .1500 2 0.91 2.34 .1501 3 0.91 2.30 .1502 4 0.91 2.38 .1503 2 0.91 2.27 .1504 1 0.91 2.32 .1505 1 0.91 2.39 .1506 1 0.91 2.23 .1507 1 0.91 2.23 .1508 2 0.91 2.09 .1509 1 0.91 2.29 .1510 3 0.91 2.27 .1511 3 0.91 2.23 .1512 1 0.91 2.37 .1513 1 0.91 2.43 .1514 2 0.91 2.31 .1515 1 0.91 2.39 .1516 3 0.91 2.36 .1517 4 0.91 2.29 .1518 3 0.91 2.28 .1519 1 0.91 2.41 .1520 1 0.91 2.19 .1521 2 0.91 2.36 .1522 2 0.91 2.20 .1523 1 0.91 2.23 .1524 2 0.91 2.22 .1525 4 0.91 2.31 .1526 3 0.91 2.31 .1527 3 0.91 2.29 .1528 5 0.91 2.20 .1529 4 0.91 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3 0.91 2.39 .1586 1 0.91 2.37 .1587 2 0.91 2.37 .1588 1 0.91 2.30 .1589 2 0.91 2.42 .1590 2 0.91 2.41 .1591 3 0.91 2.44 .1592 1 0.91 2.49 .1593 1 0.91 2.43 .1594 1 0.91 2.30 .1595 1 0.91 2.37 .1596 1 0.91 2.31 .1597 2 0.91 2.29 .1598 3 0.91 2.48 .1599 3 0.91 2.44 .1600 4 0.91 2.43 .1601 3 0.91 2.37 .1602 2 0.91 2.49 .1603 1 0.91 2.48 .1604 1 0.91 2.44 .1605 1 0.91 2.52 .1606 3 0.91 2.42 .1607 1 0.91 2.36 .1608 2 0.91 2.37 .1609 2 0.91 2.42 .1610 3 0.91 2.45 .1611 2 0.91 2.67 .1612 1 0.91 2.49 .1613 3 0.91 2.51 .1614 3 0.91 2.58 .1615 3 0.91 2.55 .1616 1 0.91 2.44 .1617 1 0.91 2.49 .1618 1 0.91 2.47 .1619 1 0.91 2.48 .1620 3 0.91 2.47 .1621 2 0.91 2.51 .1622 1 0.91 2.42 .1623 3 0.91 2.51 .1624 3 0.91 2.48 .1625 2 0.91 2.59 .1626 3 0.91 2.48 .1627 2 0.91 2.55 .1628 2 0.91 2.45 .1629 1 0.91 2.46 .1630 1 0.91 2.47 .1631 3 0.91 2.44 .1632 1 0.91 2.58 .1633 1 0.91 2.40 .1634 1 0.91 2.50 .1635 1 0.91 2.46 .1636 3 0.91 2.60 .1637 2 0.91 2.46 .1638 2 0.91 2.56 .1639 1 0.91 2.59 .1640 1 0.91 2.37 .1641 2 0.91 2.38 .1642 2 0.91 2.45 .1643 1 0.91 2.51 .1644 2 0.91 2.55 .1645 2 0.91 2.68 .1646 3 0.91 2.61 .1647 1 0.91 2.56 .1648 1 0.91 2.48 .1649 1 0.91 2.61 .1650 1 0.91 2.57 .1651 1 0.91 2.57 .1652 1 0.91 2.70 .1653 3 0.91 2.64 .1654 4 0.91 2.68 .1655 1 0.91 2.60 .1656 2 0.91 2.67 .1657 3 0.91 2.48 .1658 3 0.91 2.64 .1659 2 0.91 2.77 .1660 2 0.91 2.68 .1661 2 0.91 2.64 .1662 3 0.91 2.56 .1663 2 0.91 2.70 .1664 4 0.91 2.69 .1665 5 0.91 2.68 .1666 3 0.91 2.64 .1667 2 0.91 2.65 .1668 3 0.91 2.57 .1669 3 0.91 2.62 .1670 3 0.91 2.58 .1671 3 0.91 2.75 .1672 2 0.91 2.80 .1673 3 0.91 2.68 .1674 3 0.91 2.63 .1675 3 0.91 2.60 .1676 2 0.91 2.65 .1677 2 0.91 2.76 .1678 3 0.91 2.82 .1679 2 0.91 2.56 .1680 3 0.91 2.67 .1681 2 0.91 2.70 .1682 2 0.91 2.66 .1683 2 0.91 2.53 .1684 3 0.91 2.70 .1685 2 0.91 2.48 .1686 2 0.91 2.70 .1687 2 0.91 2.51 .1688 1 0.91 2.68 .1689 2 0.91 2.55 .1690 2 0.91 2.79 .1691 3 0.91 2.69 .1692 2 0.91 2.69 .1693 2 0.91 2.69 .1694 1 0.91 2.75 .1695 3 0.91 2.69 .1696 3 0.91 2.76 .1697 2 0.91 2.74 .1698 2 0.91 2.78 .1699 5 0.91 2.88 .1700 2 0.91 2.79 .1701 1 0.91 2.76 .1702 2 0.91 2.82 .1703 2 0.91 2.79 .1704 2 0.91 2.76 .1705 2 0.91 2.88 .1706 3 0.91 2.63 .1707 2 0.91 2.68 .1708 1 0.91 2.69 .1709 1 0.91 2.79 .1710 1 0.91 2.74 .1711 1 0.91 2.84 .1712 1 0.91 2.64 .1713 1 0.91 2.81 .1714 2 0.91 2.72 .1715 2 0.91 2.92 .1716 1 0.91 2.75 .1717 1 0.91 2.70 .1718 2 0.91 2.73 .1719 3 0.91 2.90 .1720 2 0.91 2.70 .1721 1 0.91 2.85 .1722 2 0.91 2.87 .1723 2 0.91 3.01 .1724 2 0.91 2.78 .1725 3 0.91 2.75 .1726 2 0.91 2.87 .1727 3 0.91 2.81 .1728 3 0.91 2.95 .1729 4 0.91 2.85 .1730 3 0.91 2.75 .1731 1 0.91 2.72 .1732 2 0.91 2.81 .1733 1 0.91 2.63 .1734 1 0.91 2.73 .1735 1 0.91 2.80 .1736 3 0.91 2.83 .1737 2 0.91 2.86 .1738 1 0.91 2.66 .1739 2 0.91 2.67 .1740 2 0.91 2.74 .1741 2 0.91 2.65 .1742 4 0.91 2.82 .1743 2 0.91 2.86 .1744 1 0.91 2.59 .1745 1 0.91 2.68 .1746 1 0.91 2.74 .1747 1 0.91 2.73 .1748 1 0.91 2.58 .1749 1 0.91 2.64 .1750 2 0.91 2.77 .1751 2 0.91 2.64 .1752 1 0.91 2.69 .1753 1 0.91 2.40 .1754 3 0.91 2.44 .1755 2 0.91 2.46 .1756 3 0.91 2.40 .1757 2 0.91 2.33 .1758 2 0.91 2.20 .1759 2 0.91 2.24 .1760 1 0.91 2.16 .1761 2 0.91 2.21 .1762 2 0.91 2.29 .1763 2 0.91 2.30 .1764 3 0.91 2.39 .1765 2 0.91 2.37 .1766 1 0.91 2.34 .1767 3 0.91 2.31 .1768 3 0.91 2.47 .1769 2 0.91 2.37 .1770 1 0.91 2.42 .1771 3 0.91 2.42 .1772 1 0.91 2.35 .1773 1 0.91 2.49 .1774 1 0.91 2.36 .1775 2 0.91 2.57 .1776 1 0.91 2.55 .1777 1 0.91 2.42 .1778 1 0.91 2.52 .1779 1 0.91 2.54 .1780 2 0.91 2.47 .1781 2 0.91 2.47 .1782 3 0.91 2.71 .1783 2 0.91 2.77 .1784 2 0.91 2.67 .1785 1 0.91 2.79 .1786 1 0.91 2.73 .1787 2 0.91 2.66 .1788 1 0.91 2.75 .1789 2 0.91 2.75 .1790 2 0.91 2.83 .1791 3 0.91 2.87 .1792 1 0.91 2.76 .1793 1 0.91 2.76 .1794 5 0.91 2.74 .1795 2 0.91 2.67 .1796 2 0.91 2.80 .1797 3 0.91 2.79 .1798 2 0.91 3.06 .1799 2 0.91 2.88 .1800 2 0.91 2.89 .1801 2 0.91 2.81 .1802 2 0.91 2.74 .1803 1 0.91 2.86 .1804 3 0.91 2.90 .1805 3 0.91 3.02 .1806 3 0.91 3.12 .1807 3 0.91 2.99 .1808 3 0.91 2.99 .1809 3 0.91 2.84 .1810 2 0.91 3.01 .1811 2 0.91 3.00 .1812 1 0.91 2.94 .1813 1 0.91 2.83 .1814 2 0.91 3.06 .1815 2 0.91 3.00 .1816 1 0.91 3.02 .1817 2 0.91 2.94 .1818 3 0.91 2.93 .1819 3 0.91 2.93 .1820 1 0.91 3.08 .1821 1 0.91 3.11 .1822 3 0.91 3.06 .1823 1 0.91 3.06 .1824 1 0.91 2.89 .1825 1 0.91 2.93 .1826 1 0.91 2.92 .1827 1 0.91 3.05 .1828 1 0.91 3.01 .1829 1 0.91 3.02 .1830 2 0.91 3.03 .1831 1 0.91 3.01 .1832 1 0.91 3.08 .1833 3 0.91 3.23 .1834 3 0.91 2.98 .1835 6 0.91 3.07 .1836 5 0.91 3.35 .1837 3 0.91 3.10 .1838 2 0.91 3.14 .1839 2 0.91 3.12 .1840 1 0.91 3.05 .1841 1 0.91 3.09 .1842 2 0.91 3.18 .1843 2 0.91 3.11 .1844 3 0.91 3.19 .1845 2 0.91 3.02 .1846 3 0.91 3.05 .1847 1 0.91 3.01 .1848 2 0.91 3.11 .1849 2 0.91 3.05 .1850 5 0.91 3.12 .1851 3 0.91 3.29 .1852 4 0.91 3.20 .1853 2 0.91 3.07 .1854 1 0.91 3.15 .1855 1 0.91 3.12 .1856 3 0.91 3.20 .1857 1 0.91 3.13 .1858 1 0.91 3.12 .1859 3 0.91 3.10 .1860 2 0.91 3.18 .1861 2 0.91 2.94 .1862 1 0.91 3.17 .1863 3 0.91 3.12 .1864 2 0.91 3.17 .1865 1 0.91 3.07 .1866 1 0.91 3.09 .1867 2 0.92 3.21 .1868 1 0.92 3.11 .1869 1 0.92 3.11 .1870 2 0.92 3.01 .1871 1 0.92 2.94 .1872 1 0.92 2.91 .1873 1 0.92 3.05 .1874 3 0.92 2.85 .1875 1 0.92 2.99 .1876 1 0.92 2.85 .1877 1 0.92 2.81 .1878 2 0.92 2.90 .1879 1 0.92 2.83 .1880 1 0.92 2.67 .1881 2 0.92 2.68 .1882 1 0.92 2.62 .1883 3 0.92 2.49 .1884 1 0.92 2.63 .1885 1 0.92 2.32 .1886 3 0.92 2.43 .1887 3 0.92 2.31 .1888 2 0.92 2.28 .1889 3 0.92 2.30 .1890 3 0.92 2.28 .1891 2 0.92 2.34 .1892 1 0.92 2.19 .1893 1 0.92 2.19 .1894 3 0.92 2.27 .1895 3 0.92 2.41 .1896 2 0.92 2.33 .1897 4 0.92 2.42 .1898 1 0.92 2.47 .1899 3 0.92 2.40 .1900 3 0.92 2.43 .1901 3 0.92 2.24 .1902 2 0.92 2.36 .1903 2 0.92 2.32 .1904 2 0.92 2.37 .1905 2 0.92 2.58 .1906 1 0.92 2.50 .1907 1 0.92 2.45 .1908 1 0.92 2.46 .1909 1 0.92 2.62 .1910 1 0.92 2.63 .1911 3 0.92 2.53 .1912 2 0.92 2.72 .1913 1 0.92 2.70 .1914 1 0.92 2.69 .1915 1 0.92 2.80 .1916 2 0.92 2.75 .1917 2 0.92 2.77 .1918 3 0.92 2.73 .1919 1 0.92 2.60 .1920 1 0.92 2.48 .1921 1 0.92 2.41 .1922 2 0.92 2.42 .1923 1 0.92 2.49 .1924 1 0.92 2.46 .1925 1 0.92 2.49 .1926 1 0.92 2.64 .1927 1 0.92 2.51 .1928 2 0.92 2.58 .1929 3 0.92 2.58 .1930 3 0.92 2.65 .1931 2 0.92 2.74 .1932 1 0.92 2.78 .1933 1 0.92 2.75 .1934 3 0.92 2.77 .1935 3 0.92 2.72 .1936 4 0.92 2.94 .1937 1 0.92 2.76 .1938 2 0.92 2.69 .1939 2 0.92 2.85 .1940 2 0.92 2.72 .1941 2 0.92 2.73 .1942 3 0.92 2.83 .1943 3 0.92 2.76 .1944 3 0.92 2.76 .1945 2 0.92 2.74 .1946 1 0.92 2.91 .1947 1 0.92 2.89 .1948 1 0.92 2.99 .1949 2 0.92 2.82 .1950 3 0.92 2.93 .1951 2 0.92 2.92 .1952 1 0.92 2.92 .1953 1 0.92 2.87 .1954 1 0.92 2.75 .1955 1 0.92 2.80 .1956 3 0.92 2.76 .1957 2 0.92 2.61 .1958 2 0.92 2.74 .1959 1 0.92 2.65 .1960 1 0.92 2.56 .1961 3 0.92 2.67 .1962 1 0.92 2.43 .1963 1 0.92 2.42 .1964 3 0.92 2.44 .1965 3 0.92 2.24 .1966 3 0.92 2.24 .1967 3 0.93 2.22 .1968 1 0.93 2.17 .1969 3 0.93 2.19 .1970 2 0.93 2.30 .1971 2 0.93 2.09 .1972 1 0.93 2.14 .1973 2 0.93 2.22 .1974 1 0.93 2.17 .1975 2 0.93 2.11 .1976 2 0.93 2.18 .1977 3 0.93 2.16 .1978 3 0.93 2.37 .1979 3 0.93 2.29 .1980 3 0.93 2.28 .1981 3 0.93 2.30 .1982 2 0.93 2.36 .1983 2 0.93 2.23 .1984 3 0.93 2.41 .1985 2 0.93 2.32 .1986 4 0.93 2.41 .1987 2 0.93 2.45 .1988 2 0.93 2.44 .1989 2 0.93 2.47 .1990 1 0.93 2.45 .1991 3 0.93 2.68 .1992 3 0.93 2.62 .1993 3 0.93 2.52 .1994 1 0.93 2.78 .1995 3 0.93 2.77 .1996 2 0.93 2.61 .1997 2 0.93 2.79 .1998 3 0.93 2.79 .1999 2 0.93 2.66 .2000 3 0.93 2.73 .2001 3 0.93 2.68 .2002 1 0.93 2.92 .2003 2 0.93 2.91 .2004 3 0.93 2.85 .2005 3 0.93 2.98 .2006 2 0.93 2.88 .2007 2 0.93 2.91 .2008 3 0.93 2.75 .2009 3 0.93 2.65 .2010 2 0.93 2.75 .2011 3 0.93 2.59 .2012 1 0.93 2.66 .2013 1 0.93 2.63 .2014 1 0.93 2.68 .2015 2 0.93 2.73 .2016 1 0.93 2.62 .2017 1 0.93 2.48 .2018 1 0.93 2.35 .2019 1 0.93 2.25 .2020 1 0.93 2.31 .2021 1 0.93 2.36 .2022 1 0.93 2.12 .2023 1 0.93 2.18 .2024 2 0.93 2.19 .2025 2 0.93 2.15 .2026 2 0.93 2.14 .2027 4 0.93 2.06 .2028 2 0.93 2.06 .2029 2 0.93 2.05 .2030 1 0.93 1.95 .2031 3 0.93 2.13 .2032 2 0.93 2.06 .2033 1 0.93 2.12 .2034 2 0.93 2.07 .2035 2 0.93 2.16 .2036 1 0.93 2.09 .2037 1 0.93 2.00 .2038 3 0.93 2.17 .2039 3 0.93 2.07 .2040 2 0.94 2.21 .2041 2 0.94 2.10 .2042 2 0.94 2.17 .2043 1 0.94 2.34 .2044 1 0.94 2.32 .2045 1 0.94 2.47 .2046 4 0.94 2.45 .2047 3 0.94 2.59 EXTRACT_IMAGE: sdR-b2-00034754.fit: masked 3346 pixels DIVIDEFLAT: sdR-b2-00034754.fit: Warning: Reject 321 low points in trace 200 DIVIDEFLAT: sdR-b2-00034754.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034754.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034754.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034754.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034754.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034754.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034754.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034754.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034754.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034754.fit: sky shift reference line, offset: 5577.3390 -0.00044222229 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 0 1.5264119 89.720377 -0.59919537 1.2078943 56.440435 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 6 0.43768964 83.052715 -0.42175627 0.60000000 67.911303 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 13 0.65663525 70.298472 -0.23096986 0.60000000 110.62106 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 18 2.6442763 84.338959 -1.0000000 0.97171535 50.205965 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 26 1.2406783 75.060173 0.67179965 0.60000000 16.392758 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 52 2.1778232 68.704687 -0.56876050 0.60000000 56.006944 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 60 0.66230575 92.419010 -0.92084451 0.60515822 47.884567 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 63 1.2703550 57.412999 -0.82960913 0.60000000 87.093411 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 82 2.1305671 43.275491 -0.25044995 0.60000000 68.121277 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 84 1.0045403 5.1601882 -0.91138573 1.3639663 65.268209 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 109 3.4585649 63.064162 0.21107444 0.60000000 16.016891 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 114 1.0990139 34.570360 -1.0000000 1.1229621 73.740681 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 131 1.3629726 44.721521 -0.66437129 0.60000000 61.479939 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 153 1.3024609 60.251489 -0.43215279 0.61263273 62.845588 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 176 0.43098265 98.619434 -0.94839938 1.1229474 49.740938 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 180 3.0750150 103.39397 -0.99375458 0.82706333 65.474774 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 184 2.0039732 110.69588 -0.096267274 0.60000000 66.040563 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 185 0.73041286 110.69311 -0.81499580 0.60000000 59.068820 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 186 0.28772471 117.37063 -0.90877381 0.60000000 63.009781 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 201 1.6880821 68.934668 -1.0000000 0.65627743 43.801899 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 204 0.49136741 62.640453 -1.0000000 2.0000000 44.242336 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 206 1.2413498 67.253686 -1.0000000 0.60000000 65.173273 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 213 0.55699015 101.10814 -0.28878857 0.93855309 26.032880 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 235 2.3527618 59.470363 -0.19755452 1.0347267 54.391547 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 257 1.0465142 78.390975 -1.0000000 1.0509896 76.613736 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 259 1.4450700 102.83575 -0.98516718 1.1634615 55.709459 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 260 0.82383860 63.906494 -1.0000000 1.5435004 73.070909 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 261 1.9171282 76.580485 -0.61277512 1.5423542 52.204378 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 265 1.4827366 89.545591 0.056207174 0.60000000 27.698673 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 271 2.3536089 80.732338 -0.47657536 0.89173427 81.362592 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 276 1.0350318 62.480349 -0.81829845 0.69438233 74.617452 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 281 1.4312753 78.905142 -1.0000000 2.0000000 30.552250 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 284 0.26516224 90.047815 -0.69714489 0.70902607 73.315062 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 307 0.64239085 58.114873 -1.0000000 2.0000000 20.374364 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 0 308 0.91644537 68.882504 -0.40950854 0.60000000 56.829809 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: comb1 l,chi^2/dof,fit: 0 0.35793043 0.012898834 -0.72424493 0.95576830 0.92215295 LOCATESKYLINES_2: sdR-b2-00034754.fit: kept 117 of 117 points LOCATESKYLINES_2: sdR-b2-00034754.fit: offset, refoff, sigma: -0.724687-0.7242450.093689 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 0 0.88307026 158.93771 0.076633768 0.99965277 223.40543 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 6 1.8523579 130.25032 0.080362522 1.0647270 237.00264 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 13 0.65158452 144.50146 0.030433967 0.88632497 188.84025 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 18 0.70201387 131.22452 0.0077607421 1.0741616 191.43341 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 26 1.0194140 156.36784 0.040208683 1.0868969 200.09199 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 52 1.8332441 123.08976 0.10688950 0.88862290 204.95666 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 60 2.0633060 136.35014 -0.10006298 0.83672338 226.20646 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 63 1.3358239 107.47638 -0.13691723 0.94735150 252.64393 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 82 1.5729398 83.568550 -0.29703715 1.5502396 177.12103 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 84 2.1417699 59.238721 -0.13179195 1.6116945 197.48151 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 109 0.12738453 77.800792 -0.29357690 1.6046228 179.92063 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 114 2.5014832 121.13320 0.38075218 0.84440994 185.67652 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 131 1.1314623 98.834086 0.010293521 1.2366048 208.20301 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 153 1.0356431 150.12793 -0.060772746 1.1565417 228.64069 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 176 0.89710210 140.82069 0.10468375 0.97689056 240.32007 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 180 0.42720077 174.10050 0.066319939 0.93328752 177.70743 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 184 3.9718149 160.09151 0.12538238 0.97613476 204.70121 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 185 5.1251384 145.18096 0.12292441 1.1469883 213.25423 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 186 1.5481710 147.15890 0.057002009 1.1550419 192.97226 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 201 0.87602584 144.48685 0.22254440 0.89436654 220.30170 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 204 1.0671587 145.04810 -0.057932616 0.93870213 191.28843 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 206 0.25069187 129.95733 0.28442103 1.2283282 190.36291 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 213 1.6099912 132.89493 -0.27188210 1.5635252 189.20614 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 235 1.2416384 129.21002 -0.073371498 1.0151965 183.47599 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 257 1.2185268 120.34476 -0.10857371 1.6747558 171.51167 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 259 2.0392944 168.67274 0.10943404 0.94224534 226.66093 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 260 0.72242664 153.36331 -0.11335792 1.1103718 165.39810 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 261 0.78583741 162.93441 0.14565198 1.1126669 155.21287 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 265 0.80965564 116.32805 -0.011890521 1.5921290 209.20305 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 271 0.80681306 143.55304 0.028012314 1.2864840 160.77119 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 276 0.89506902 127.02913 -0.045666565 1.1643102 167.09149 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 281 0.083756514 137.40230 -0.038901432 1.0783888 200.83655 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 284 1.5647933 147.64547 0.18862939 0.93811275 227.19685 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 307 1.1185955 122.50399 0.012568825 1.3373849 201.60661 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 1 308 0.73259181 149.50263 0.015260210 1.1097135 192.20495 LOCATESKYLINES_2: sdR-b2-00034754.fit: comb1 l,chi^2/dof,fit: 1 1.3601866 0.016292098 0.037996713 1.0763974 0.97622677 LOCATESKYLINES_2: sdR-b2-00034754.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034754.fit: offset, refoff, sigma: 0.0375540.0379970.021700 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 0 0.38439317 189.19180 0.14296128 1.0857642 333.47443 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 6 0.40394974 114.24179 0.30006407 1.1547582 334.73846 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 13 2.3239021 149.61452 0.094496855 1.0590298 287.63937 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 18 0.20789607 140.47569 0.065582148 1.3165879 282.27614 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 26 0.54309776 231.84472 0.19769662 0.85095370 311.12847 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 52 1.9355884 172.32645 0.093424827 1.1612479 276.69217 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 60 0.88322676 165.95634 0.18405906 1.0841964 314.61580 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 63 1.1994381 140.92177 0.079449746 1.2549879 316.91866 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 82 0.88326169 153.92774 0.15730041 1.0617076 328.03113 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 84 1.4412131 126.93945 -0.10086897 1.3282238 296.91944 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 109 0.70610980 182.82790 0.18713186 1.1015150 287.12431 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 114 0.44308421 168.00295 0.19489677 1.2153077 279.59997 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 131 1.1384032 186.85933 0.16449362 1.1369334 294.23757 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 153 2.5231222 214.05811 0.22613127 1.0953826 324.01008 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 176 2.8886999 178.30765 0.28901953 1.1213708 287.57564 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 180 1.8637772 186.82696 0.089148017 1.3319693 300.65702 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 184 1.6476047 211.42111 0.26559926 1.1493467 311.31900 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 185 2.4968012 188.36276 0.17578846 1.3327077 308.28667 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 186 1.0246535 209.41244 0.21649073 1.0493989 348.84093 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 201 0.63844772 199.71561 0.21201828 1.0544387 316.24277 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 204 1.7704690 160.87880 0.10380120 1.3450925 347.71012 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 206 0.58938279 177.49452 -0.041623136 1.0977135 334.76073 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 213 0.32844213 216.82768 0.17654070 1.3757172 322.26392 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 235 1.8360738 173.82691 0.052483085 1.1340727 352.36127 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 257 2.7901836 196.30712 -0.0085542619 1.0737860 283.13111 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 259 0.41025852 241.87600 0.18595532 1.2275361 267.75200 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 260 2.2608288 197.30463 0.11529433 0.78472747 375.99689 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 261 0.16242612 233.43135 0.25975672 0.96303956 292.60206 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 265 1.0248385 157.64472 0.17851643 1.2960692 312.61299 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 271 0.84808864 199.41377 0.067642797 1.1109926 245.57854 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 276 0.28264329 204.46842 0.089155549 0.97939933 313.71247 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 281 1.2872889 187.67925 0.065289178 0.84790583 364.95195 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 284 0.98225370 198.80265 0.030183801 0.97399587 290.74960 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 307 1.3260099 166.48201 0.18183565 1.3789419 294.08739 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 2 308 0.16548804 207.36103 0.065824256 1.2303323 320.45731 LOCATESKYLINES_2: sdR-b2-00034754.fit: comb1 l,chi^2/dof,fit: 2 1.2308365 0.0064770111 0.14052574 1.1205625 0.98456581 LOCATESKYLINES_2: sdR-b2-00034754.fit: sigma-clipped to 314 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034754.fit: comb2 l,chi^2/dof,fit: 2 1.1673075 0.0053070095 0.14830326 1.1316363 0.98340402 LOCATESKYLINES_2: sdR-b2-00034754.fit: kept 314 of 315 points LOCATESKYLINES_2: sdR-b2-00034754.fit: offset, refoff, sigma: 0.1478610.1483030.016720 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 0 4.1708619 164.41875 0.12824633 0.92333646 2390.4537 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 6 5.6462028 105.45352 0.089058031 0.93238104 2403.0314 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 13 1.6018219 127.67390 0.085503159 0.96319567 2319.7625 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 18 3.6938489 135.75842 0.10977114 0.90382434 2333.1637 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 26 0.87483838 183.65198 0.076994944 0.90692997 2464.1548 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 52 6.1786784 121.14873 0.10180338 0.97026347 2278.5254 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 60 0.99987655 167.67593 0.095335700 0.93406886 2367.6656 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 63 1.8778162 144.18373 0.11041781 0.94629860 2292.1629 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 82 4.0959843 143.40933 0.11756878 0.94949513 2320.6113 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 84 1.4391339 114.04898 0.13685278 0.93388616 2295.7002 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 109 3.4143169 140.70962 0.11739372 0.96123876 2255.9755 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 114 2.0836475 150.62745 0.15215173 0.91281678 2414.1185 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 131 0.93298934 163.01280 0.14143357 0.93935881 2343.3267 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 153 4.1795550 203.82488 0.13487437 0.91724619 2340.2257 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 176 2.6896112 169.97756 0.13160450 0.94985810 2367.1464 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 180 3.0967895 163.57638 0.11915203 0.94012596 2371.1939 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 184 2.5879280 198.26194 0.11413849 0.92613169 2288.0030 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 185 2.9227344 187.12095 0.13899736 0.94706106 2239.7136 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 186 4.1808998 182.02915 0.13987373 0.92787613 2304.8226 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 201 1.9015999 163.88191 0.15224721 0.94827262 2377.0657 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 204 2.9108659 184.49425 0.12982984 0.94296711 2334.4520 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 206 3.3801655 179.55869 0.13173402 0.94346080 2323.5470 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 213 3.1313320 196.79843 0.093910733 0.96673867 2290.3791 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 235 1.9855392 172.51091 0.10862226 0.90456060 2304.3001 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 257 0.46261776 188.90042 0.091366935 0.91922277 2394.0383 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 259 1.9319393 221.79316 0.11364596 0.91768067 2383.2659 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 260 6.1503667 173.61271 0.11053107 0.91055185 2397.0306 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 261 6.7242813 164.45627 0.11677475 0.91532542 2438.6651 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 265 3.9208595 201.11067 0.11597674 0.88653389 2422.7601 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 271 4.3602190 179.11407 0.081871560 0.90706271 2388.2135 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 276 1.7343949 179.75541 0.098002388 0.91140158 2380.0063 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 281 3.7311375 181.87815 0.10043802 0.93227881 2294.4262 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 284 4.3234431 161.53007 0.062146499 0.90073772 2332.1645 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 307 1.6158184 168.86832 0.10609395 0.90514623 2433.8159 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 3 308 1.7923819 211.50322 0.12246203 0.93559694 2385.8889 LOCATESKYLINES_2: sdR-b2-00034754.fit: comb1 l,chi^2/dof,fit: 3 2.1830263 7.2838976e-05 0.11353188 0.92863224 0.99929064 LOCATESKYLINES_2: sdR-b2-00034754.fit: sigma-clipped to 312 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034754.fit: comb2 l,chi^2/dof,fit: 3 1.9704783 0.00033314062 0.11582902 0.92964041 0.99762415 LOCATESKYLINES_2: sdR-b2-00034754.fit: kept 312 of 315 points LOCATESKYLINES_2: sdR-b2-00034754.fit: offset, refoff, sigma: 0.1153870.1158290.003097 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 0 24.973152 192.05095 0.17152853 0.81726416 612.50250 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 6 26.014814 183.89241 0.18919210 0.77712082 522.21594 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 13 15.251168 153.24144 0.20881059 0.85449025 530.33055 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 18 21.740888 203.03359 0.16786852 0.79095933 564.63215 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 26 27.146321 245.71058 0.21152646 0.74193453 641.32513 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 52 9.8563594 153.36579 0.10708852 0.90325796 556.10422 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 60 33.497186 229.71203 0.28712083 0.74258119 547.83576 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 63 25.928979 210.76095 0.23648978 0.73265848 588.26299 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 82 21.946428 229.11813 0.21841394 0.76470886 568.65522 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 84 14.127769 210.38219 0.23533528 0.79199185 496.29862 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 109 26.746515 205.20242 0.12513381 0.80991974 485.00610 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 114 21.976856 173.89754 0.19658166 0.82191102 500.33754 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 131 23.716888 182.59067 0.20939207 0.85050857 580.24964 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 153 21.617174 191.35137 0.19891831 0.85174579 548.49624 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 176 22.874546 192.06061 0.12142084 0.87685547 540.35924 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 180 23.266587 170.75269 0.26293617 0.89578547 586.56016 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 184 20.392379 206.36964 0.14845322 0.82444482 528.35626 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 185 23.385134 192.91418 0.29562362 0.84459850 546.70037 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 186 23.811379 205.49020 0.25979767 0.84673189 528.94903 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 201 23.213488 214.88748 0.25382567 0.74782488 572.31218 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 204 25.307289 198.25569 0.20495788 0.87266031 513.37795 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 206 33.363044 198.99238 0.17636732 0.76302309 523.87412 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 213 12.538742 204.95526 0.20583221 0.86139494 552.19719 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 235 28.278615 212.33674 0.060360517 0.80673139 517.63752 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 257 22.145686 170.89647 0.13721949 0.87373352 584.90222 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 259 15.582914 211.93956 0.12743397 0.93540259 499.82703 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 260 17.209736 193.46962 0.28043427 0.81630039 610.96197 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 261 17.772362 204.63650 0.19862004 0.85576079 507.43085 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 265 26.187629 194.90815 0.080777102 0.74803012 560.55889 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 271 14.728882 159.82396 0.17992708 0.86167278 604.89130 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 276 12.812033 163.25570 0.097705309 0.90830352 497.64146 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 281 30.631296 217.64231 0.18458457 0.78940081 536.91164 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 284 15.027650 193.59356 0.13793660 0.84795015 525.29766 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 307 24.673417 204.07768 0.14370510 0.73811521 539.21029 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 4 308 23.303565 252.81626 0.095412524 0.70719256 603.90567 LOCATESKYLINES_2: sdR-b2-00034754.fit: comb1 l,chi^2/dof,fit: 4 12.872000 0.00010687153 0.18434397 0.82726520 0.99022419 LOCATESKYLINES_2: sdR-b2-00034754.fit: sigma-clipped to 269 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034754.fit: comb2 l,chi^2/dof,fit: 4 2.0669736 -0.067665304 0.19377844 0.90098998 1.0342913 LOCATESKYLINES_2: sdR-b2-00034754.fit: kept 269 of 315 points LOCATESKYLINES_2: sdR-b2-00034754.fit: offset, refoff, sigma: 0.1933360.1937780.008436 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 0 23.349670 172.14869 0.13222834 0.81793470 396.79897 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 6 38.669686 175.81673 -0.023003512 0.61338971 361.72793 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 13 20.278166 129.22522 0.13130177 0.80271191 362.19865 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 18 41.842977 199.35938 0.058467009 0.69882900 280.62683 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 26 6.7647775 199.06937 0.17248642 0.72232316 419.95258 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 52 47.783162 177.43907 0.10099660 0.78487078 311.69437 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 60 45.182137 201.92675 0.22106350 0.70898938 389.30759 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 63 10.426923 158.36336 0.25025818 0.84301588 380.48340 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 82 7.8478589 175.65980 0.16811037 0.87206554 355.06319 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 84 13.234597 151.03065 0.11357357 0.88989841 346.30193 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 109 12.165041 150.51299 0.18203362 0.78421998 379.16315 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 114 15.323613 155.04861 0.12084801 0.74573446 376.55251 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 131 26.410490 167.06703 0.25367685 0.89108644 341.83865 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 153 48.229845 198.39474 0.21280798 0.84145399 364.43046 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 176 57.336340 199.73339 0.072688989 0.94692003 320.10115 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 180 48.522622 186.05730 0.14364336 0.76197831 383.25174 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 184 37.268068 195.87784 0.26076305 0.85392204 290.98964 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 185 32.378042 171.36384 0.26418471 0.86660992 341.92918 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 186 29.973444 178.64501 0.24017158 0.83115305 379.99373 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 201 10.219973 163.62998 0.10509174 0.79109589 364.52939 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 204 49.567916 206.88251 0.067634123 0.60000000 334.17563 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 206 47.859787 191.14591 0.11990716 0.74578461 360.41978 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 213 42.233422 238.31638 0.16739450 0.78337420 313.57465 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 235 54.011143 223.11895 0.025473294 0.60000000 353.30844 LOCATESKYLINES_2: sdR-b2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 257 56.572147 189.70920 0.22786597 0.80381266 373.43553 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 259 44.266427 229.41247 0.12990233 0.72712158 346.96106 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 260 22.479789 182.25324 0.21778362 0.79610391 354.82400 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 261 26.140471 174.54821 0.10492291 0.79668908 383.10158 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 265 14.445063 144.60159 0.023723020 0.73473600 424.19006 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 271 39.905156 192.59726 0.040447912 0.75587079 332.69734 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 276 35.697931 170.22430 0.065578303 0.83949669 278.87768 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 281 46.344981 189.59259 0.19003981 0.76482333 324.52572 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 284 38.888639 177.09772 0.20559390 0.82710673 327.27389 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 307 40.210617 208.73234 0.10243914 0.68879196 309.97950 LOCATESKYLINES_2: sdR-b2-00034754.fit: l,f,chi^2/dof,c: 5 308 51.365370 215.59835 0.12094343 0.72104777 340.52632 LOCATESKYLINES_2: sdR-b2-00034754.fit: comb1 l,chi^2/dof,fit: 5 17.661538 -0.00066299314 0.15583873 0.80000000 0.98566269 LOCATESKYLINES_2: sdR-b2-00034754.fit: sigma-clipped to 259 of 297 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034754.fit: comb2 l,chi^2/dof,fit: 5 1.7885345 -0.11588939 0.16735685 0.90746384 1.0787967 LOCATESKYLINES_2: sdR-b2-00034754.fit: kept 259 of 297 points LOCATESKYLINES_2: sdR-b2-00034754.fit: offset, refoff, sigma: 0.1669150.1673570.011686 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 15525.448 DOF = 1862 P(0) = 41.6422 P(1) = 0.00000 P(2) = 41.6422 P(3) = 41.6422 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 9153.0348 DOF = 1862 P(0) = 74.7373 P(1) = 9.14497E-06 P(2) = 92.8917 P(3) = 60.9459 P(4) = 0.000130000 P(5) = 0.0161496 Iter 3 CHI-SQUARE = 9152.8792 DOF = 1862 P(0) = 74.7778 P(1) = 8.97100E-06 P(2) = 92.4030 P(3) = 61.3835 P(4) = 0.000130000 P(5) = 0.0124761 Iter 4 CHI-SQUARE = 9152.7821 DOF = 1862 P(0) = 74.7274 P(1) = 8.78958E-06 P(2) = 92.2972 P(3) = 61.4797 P(4) = 0.000130000 P(5) = 0.0201632 Iter 5 CHI-SQUARE = 9152.7205 DOF = 1862 P(0) = 74.6755 P(1) = 8.62784E-06 P(2) = 92.2793 P(3) = 61.4807 P(4) = 0.000130000 P(5) = 0.0209554 Iter 6 CHI-SQUARE = 9152.6955 DOF = 1862 P(0) = 74.6183 P(1) = 8.42652E-06 P(2) = 92.2525 P(3) = 61.4793 P(4) = 0.000130000 P(5) = 0.00971412 Iter 7 CHI-SQUARE = 9152.5797 DOF = 1862 P(0) = 74.6826 P(1) = 8.37102E-06 P(2) = 92.3662 P(3) = 61.5045 P(4) = 0.000130000 P(5) = 0.0152105 Iter 8 CHI-SQUARE = 9152.5597 DOF = 1862 P(0) = 74.6566 P(1) = 8.27710E-06 P(2) = 92.3552 P(3) = 61.4775 P(4) = 0.000130000 P(5) = 0.0136048 Iter 9 CHI-SQUARE = 9152.5118 DOF = 1862 P(0) = 74.6559 P(1) = 8.16390E-06 P(2) = 92.3812 P(3) = 61.4710 P(4) = 0.000130000 P(5) = 0.0143764 Iter 10 CHI-SQUARE = 9152.5006 DOF = 1862 P(0) = 74.6302 P(1) = 8.09490E-06 P(2) = 92.3790 P(3) = 61.4572 P(4) = 0.000130000 P(5) = 0.0150536 Iter 11 CHI-SQUARE = 9152.4571 DOF = 1862 P(0) = 74.6925 P(1) = 8.05991E-06 P(2) = 92.4695 P(3) = 61.4799 P(4) = 0.000130000 P(5) = 0.0166089 Iter 12 CHI-SQUARE = 9152.4344 DOF = 1862 P(0) = 74.7566 P(1) = 7.95306E-06 P(2) = 92.5625 P(3) = 61.4694 P(4) = 0.000130000 P(5) = 0.0172671 Iter 13 CHI-SQUARE = 9152.3914 DOF = 1862 P(0) = 74.6551 P(1) = 7.84739E-06 P(2) = 92.4695 P(3) = 61.4297 P(4) = 0.000130000 P(5) = 0.0162008 Iter 14 CHI-SQUARE = 9152.2844 DOF = 1862 P(0) = 74.7056 P(1) = 7.57634E-06 P(2) = 92.5848 P(3) = 61.4292 P(4) = 0.000130000 P(5) = 0.0148534 Iter 15 CHI-SQUARE = 9152.1250 DOF = 1862 P(0) = 74.6878 P(1) = 7.02993E-06 P(2) = 92.7001 P(3) = 61.3776 P(4) = 0.000130000 P(5) = 0.0194100 Iter 16 CHI-SQUARE = 9152.1059 DOF = 1862 P(0) = 74.6953 P(1) = 6.99783E-06 P(2) = 92.7420 P(3) = 61.3762 P(4) = 0.000130000 P(5) = 0.0183171 Iter 17 CHI-SQUARE = 9152.0796 DOF = 1862 P(0) = 74.7195 P(1) = 6.93297E-06 P(2) = 92.7792 P(3) = 61.3803 P(4) = 0.000130000 P(5) = 0.0159813 Iter 18 CHI-SQUARE = 9152.0698 DOF = 1862 P(0) = 74.7085 P(1) = 6.87820E-06 P(2) = 92.7740 P(3) = 61.3674 P(4) = 0.000130000 P(5) = 0.0138993 Iter 19 CHI-SQUARE = 9152.0575 DOF = 1862 P(0) = 74.6732 P(1) = 6.83074E-06 P(2) = 92.7536 P(3) = 61.3541 P(4) = 0.000130000 P(5) = 0.0164720 Iter 20 CHI-SQUARE = 9152.0495 DOF = 1862 P(0) = 74.7807 P(1) = 6.73409E-06 P(2) = 92.8941 P(3) = 61.3685 P(4) = 0.000130000 P(5) = 0.0164421 Iter 21 CHI-SQUARE = 9152.0160 DOF = 1862 P(0) = 74.7512 P(1) = 6.67556E-06 P(2) = 92.8681 P(3) = 61.3440 P(4) = 0.000130000 P(5) = 0.0149951 Iter 22 CHI-SQUARE = 9151.9977 DOF = 1862 P(0) = 74.7351 P(1) = 6.62118E-06 P(2) = 92.8718 P(3) = 61.3401 P(4) = 0.000130000 P(5) = 0.0175807 Iter 23 CHI-SQUARE = 9151.9887 DOF = 1862 P(0) = 74.7031 P(1) = 6.60813E-06 P(2) = 92.8396 P(3) = 61.3318 P(4) = 0.000130000 P(5) = 0.0164815 Iter 24 CHI-SQUARE = 9151.9852 DOF = 1862 P(0) = 74.7266 P(1) = 6.59307E-06 P(2) = 92.8724 P(3) = 61.3470 P(4) = 0.000130000 P(5) = 0.0162482 Iter 25 CHI-SQUARE = 9151.9768 DOF = 1862 P(0) = 74.6931 P(1) = 6.55592E-06 P(2) = 92.8459 P(3) = 61.3335 P(4) = 0.000130000 P(5) = 0.0168870 Iter 26 CHI-SQUARE = 9151.9705 DOF = 1862 P(0) = 74.6884 P(1) = 6.52417E-06 P(2) = 92.8445 P(3) = 61.3340 P(4) = 0.000130000 P(5) = 0.0151712 Iter 27 CHI-SQUARE = 9151.9606 DOF = 1862 P(0) = 74.7257 P(1) = 6.50018E-06 P(2) = 92.8973 P(3) = 61.3421 P(4) = 0.000130000 P(5) = 0.0163145 Iter 28 CHI-SQUARE = 9151.9551 DOF = 1862 P(0) = 74.6935 P(1) = 6.47458E-06 P(2) = 92.8645 P(3) = 61.3245 P(4) = 0.000130000 P(5) = 0.0159375 Iter 29 CHI-SQUARE = 9151.9448 DOF = 1862 P(0) = 74.7038 P(1) = 6.44131E-06 P(2) = 92.8851 P(3) = 61.3305 P(4) = 0.000130000 P(5) = 0.0162372 Iter 30 CHI-SQUARE = 9151.9419 DOF = 1862 P(0) = 74.7072 P(1) = 6.38037E-06 P(2) = 92.9110 P(3) = 61.3232 P(4) = 0.000130000 P(5) = 0.0192337 Iter 31 CHI-SQUARE = 9151.9295 DOF = 1862 P(0) = 74.7172 P(1) = 6.37318E-06 P(2) = 92.9222 P(3) = 61.3291 P(4) = 0.000130000 P(5) = 0.0174364 Iter 32 CHI-SQUARE = 9151.9175 DOF = 1862 P(0) = 74.7115 P(1) = 6.33345E-06 P(2) = 92.9215 P(3) = 61.3203 P(4) = 0.000130000 P(5) = 0.0166473 Iter 33 CHI-SQUARE = 9151.9148 DOF = 1862 P(0) = 74.7261 P(1) = 6.31970E-06 P(2) = 92.9420 P(3) = 61.3235 P(4) = 0.000130000 P(5) = 0.0164898 Iter 34 CHI-SQUARE = 9151.9122 DOF = 1862 P(0) = 74.6874 P(1) = 6.29724E-06 P(2) = 92.9015 P(3) = 61.3082 P(4) = 0.000130000 P(5) = 0.0159605 Iter 35 CHI-SQUARE = 9151.9113 DOF = 1862 P(0) = 74.6712 P(1) = 6.26826E-06 P(2) = 92.8918 P(3) = 61.3083 P(4) = 0.000130000 P(5) = 0.0160803 Iter 36 CHI-SQUARE = 9151.9015 DOF = 1862 P(0) = 74.6977 P(1) = 6.26407E-06 P(2) = 92.9258 P(3) = 61.3256 P(4) = 0.000130000 P(5) = 0.0161640 Iter 37 CHI-SQUARE = 9151.8941 DOF = 1862 P(0) = 74.7075 P(1) = 6.23128E-06 P(2) = 92.9422 P(3) = 61.3201 P(4) = 0.000130000 P(5) = 0.0150938 Iter 38 CHI-SQUARE = 9151.8921 DOF = 1862 P(0) = 74.6818 P(1) = 6.20072E-06 P(2) = 92.9190 P(3) = 61.3034 P(4) = 0.000130000 P(5) = 0.0152668 Iter 39 CHI-SQUARE = 9151.8838 DOF = 1862 P(0) = 74.7068 P(1) = 6.19461E-06 P(2) = 92.9520 P(3) = 61.3175 P(4) = 0.000130000 P(5) = 0.0158599 Iter 40 CHI-SQUARE = 9151.8816 DOF = 1862 P(0) = 74.6956 P(1) = 6.17890E-06 P(2) = 92.9438 P(3) = 61.3056 P(4) = 0.000130000 P(5) = 0.0163053 Iter 41 CHI-SQUARE = 9151.8765 DOF = 1862 P(0) = 74.7153 P(1) = 6.16539E-06 P(2) = 92.9695 P(3) = 61.3123 P(4) = 0.000130000 P(5) = 0.0163678 Iter 42 CHI-SQUARE = 9151.8753 DOF = 1862 P(0) = 74.7065 P(1) = 6.15884E-06 P(2) = 92.9607 P(3) = 61.3040 P(4) = 0.000130000 P(5) = 0.0164089 Iter 43 CHI-SQUARE = 9151.8710 DOF = 1862 P(0) = 74.7112 P(1) = 6.14204E-06 P(2) = 92.9681 P(3) = 61.3060 P(4) = 0.000130000 P(5) = 0.0161044 Iter 44 CHI-SQUARE = 9151.8662 DOF = 1862 P(0) = 74.7307 P(1) = 6.11046E-06 P(2) = 92.9948 P(3) = 61.3093 P(4) = 0.000130000 P(5) = 0.0151943 Iter 45 CHI-SQUARE = 9151.8648 DOF = 1862 P(0) = 74.7541 P(1) = 6.07867E-06 P(2) = 93.0291 P(3) = 61.3032 P(4) = 0.000130000 P(5) = 0.0164160 Iter 46 CHI-SQUARE = 9151.8559 DOF = 1862 P(0) = 74.7312 P(1) = 6.06988E-06 P(2) = 93.0052 P(3) = 61.2915 P(4) = 0.000130000 P(5) = 0.0166113 Iter 47 CHI-SQUARE = 9151.8472 DOF = 1862 P(0) = 74.7271 P(1) = 6.03555E-06 P(2) = 93.0073 P(3) = 61.2923 P(4) = 0.000130000 P(5) = 0.0162955 Iter 48 CHI-SQUARE = 9151.8377 DOF = 1862 P(0) = 74.7444 P(1) = 5.96758E-06 P(2) = 93.0444 P(3) = 61.2897 P(4) = 0.000130000 P(5) = 0.0173028 Iter 49 CHI-SQUARE = 9151.8266 DOF = 1862 P(0) = 74.7069 P(1) = 5.93695E-06 P(2) = 93.0049 P(3) = 61.2757 P(4) = 0.000130000 P(5) = 0.0151296 Iter 50 CHI-SQUARE = 9151.8242 DOF = 1862 P(0) = 74.7182 P(1) = 5.93566E-06 P(2) = 93.0263 P(3) = 61.2854 P(4) = 0.000130000 P(5) = 0.0162308 Iter 51 CHI-SQUARE = 9151.8213 DOF = 1862 P(0) = 74.7051 P(1) = 5.91840E-06 P(2) = 93.0136 P(3) = 61.2803 P(4) = 0.000130000 P(5) = 0.0158217 Iter 52 CHI-SQUARE = 9151.8182 DOF = 1862 P(0) = 74.7006 P(1) = 5.89934E-06 P(2) = 93.0128 P(3) = 61.2802 P(4) = 0.000130000 P(5) = 0.0155754 Iter 53 CHI-SQUARE = 9151.8140 DOF = 1862 P(0) = 74.6977 P(1) = 5.88011E-06 P(2) = 93.0173 P(3) = 61.2795 P(4) = 0.000130000 P(5) = 0.0162649 Iter 54 CHI-SQUARE = 9151.8074 DOF = 1862 P(0) = 74.7373 P(1) = 5.84435E-06 P(2) = 93.0671 P(3) = 61.2844 P(4) = 0.000130000 P(5) = 0.0154982 Iter 55 CHI-SQUARE = 9151.8033 DOF = 1862 P(0) = 74.7128 P(1) = 5.82953E-06 P(2) = 93.0405 P(3) = 61.2689 P(4) = 0.000130000 P(5) = 0.0150387 Iter 56 CHI-SQUARE = 9151.8025 DOF = 1862 P(0) = 74.7149 P(1) = 5.83234E-06 P(2) = 93.0441 P(3) = 61.2734 P(4) = 0.000130000 P(5) = 0.0155803 Iter 57 CHI-SQUARE = 9151.8012 DOF = 1862 P(0) = 74.7173 P(1) = 5.82865E-06 P(2) = 93.0492 P(3) = 61.2757 P(4) = 0.000130000 P(5) = 0.0159785 Iter 58 CHI-SQUARE = 9151.8001 DOF = 1862 P(0) = 74.7062 P(1) = 5.82028E-06 P(2) = 93.0387 P(3) = 61.2706 P(4) = 0.000130000 P(5) = 0.0159706 Iter 59 CHI-SQUARE = 9151.7978 DOF = 1862 P(0) = 74.7202 P(1) = 5.81278E-06 P(2) = 93.0586 P(3) = 61.2769 P(4) = 0.000130000 P(5) = 0.0163368 Iter 60 CHI-SQUARE = 9151.7949 DOF = 1862 P(0) = 74.7254 P(1) = 5.79363E-06 P(2) = 93.0662 P(3) = 61.2764 P(4) = 0.000130000 P(5) = 0.0154580 Iter 61 CHI-SQUARE = 9151.7902 DOF = 1862 P(0) = 74.7139 P(1) = 5.77518E-06 P(2) = 93.0605 P(3) = 61.2702 P(4) = 0.000130000 P(5) = 0.0166413 Iter 62 CHI-SQUARE = 9151.7853 DOF = 1862 P(0) = 74.7423 P(1) = 5.73569E-06 P(2) = 93.0981 P(3) = 61.2719 P(4) = 0.000130000 P(5) = 0.0159813 Iter 63 CHI-SQUARE = 9151.7807 DOF = 1862 P(0) = 74.7437 P(1) = 5.69454E-06 P(2) = 93.1121 P(3) = 61.2642 P(4) = 0.000130000 P(5) = 0.0177520 Iter 64 CHI-SQUARE = 9151.7565 DOF = 1862 P(0) = 74.7149 P(1) = 5.60863E-06 P(2) = 93.0981 P(3) = 61.2557 P(4) = 0.000130000 P(5) = 0.0166170 Iter 65 CHI-SQUARE = 9151.7529 DOF = 1862 P(0) = 74.6995 P(1) = 5.56824E-06 P(2) = 93.0892 P(3) = 61.2515 P(4) = 0.000130000 P(5) = 0.0149362 Iter 66 CHI-SQUARE = 9151.7494 DOF = 1862 P(0) = 74.7117 P(1) = 5.56958E-06 P(2) = 93.1066 P(3) = 61.2586 P(4) = 0.000130000 P(5) = 0.0156489 Iter 67 CHI-SQUARE = 9151.7463 DOF = 1862 P(0) = 74.7204 P(1) = 5.55465E-06 P(2) = 93.1201 P(3) = 61.2575 P(4) = 0.000130000 P(5) = 0.0156470 Iter 68 CHI-SQUARE = 9151.7437 DOF = 1862 P(0) = 74.7087 P(1) = 5.54118E-06 P(2) = 93.1111 P(3) = 61.2494 P(4) = 0.000130000 P(5) = 0.0163435 Iter 69 CHI-SQUARE = 9151.7418 DOF = 1862 P(0) = 74.7292 P(1) = 5.53000E-06 P(2) = 93.1367 P(3) = 61.2560 P(4) = 0.000130000 P(5) = 0.0161051 Iter 70 CHI-SQUARE = 9151.7388 DOF = 1862 P(0) = 74.7217 P(1) = 5.51595E-06 P(2) = 93.1318 P(3) = 61.2483 P(4) = 0.000130000 P(5) = 0.0167530 Iter 71 CHI-SQUARE = 9151.7345 DOF = 1862 P(0) = 74.7361 P(1) = 5.48632E-06 P(2) = 93.1524 P(3) = 61.2483 P(4) = 0.000130000 P(5) = 0.0163094 Iter 72 CHI-SQUARE = 9151.7305 DOF = 1862 P(0) = 74.7247 P(1) = 5.45758E-06 P(2) = 93.1420 P(3) = 61.2422 P(4) = 0.000130000 P(5) = 0.0147948 Iter 73 CHI-SQUARE = 9151.7302 DOF = 1862 P(0) = 74.6913 P(1) = 5.43102E-06 P(2) = 93.1115 P(3) = 61.2335 P(4) = 0.000130000 P(5) = 0.0147870 Iter 74 CHI-SQUARE = 9151.7218 DOF = 1862 P(0) = 74.7081 P(1) = 5.42211E-06 P(2) = 93.1374 P(3) = 61.2437 P(4) = 0.000130000 P(5) = 0.0158862 Iter 75 CHI-SQUARE = 9151.7217 DOF = 1862 P(0) = 74.7474 P(1) = 5.40034E-06 P(2) = 93.1859 P(3) = 61.2466 P(4) = 0.000130000 P(5) = 0.0157107 Iter 76 CHI-SQUARE = 9151.7155 DOF = 1862 P(0) = 74.7240 P(1) = 5.39123E-06 P(2) = 93.1624 P(3) = 61.2351 P(4) = 0.000130000 P(5) = 0.0164733 Iter 77 CHI-SQUARE = 9151.7123 DOF = 1862 P(0) = 74.7353 P(1) = 5.36252E-06 P(2) = 93.1820 P(3) = 61.2356 P(4) = 0.000130000 P(5) = 0.0169551 Iter 78 CHI-SQUARE = 9151.7093 DOF = 1862 P(0) = 74.7358 P(1) = 5.34864E-06 P(2) = 93.1852 P(3) = 61.2341 P(4) = 0.000130000 P(5) = 0.0165473 Iter 79 CHI-SQUARE = 9151.7066 DOF = 1862 P(0) = 74.6963 P(1) = 5.32552E-06 P(2) = 93.1478 P(3) = 61.2272 P(4) = 0.000130000 P(5) = 0.0163928 Iter 80 CHI-SQUARE = 9151.7003 DOF = 1862 P(0) = 74.7030 P(1) = 5.29732E-06 P(2) = 93.1640 P(3) = 61.2295 P(4) = 0.000130000 P(5) = 0.0166580 Iter 81 CHI-SQUARE = 9151.6955 DOF = 1862 P(0) = 74.6974 P(1) = 5.24159E-06 P(2) = 93.1657 P(3) = 61.2248 P(4) = 0.000130000 P(5) = 0.0147412 Iter 82 CHI-SQUARE = 9151.6888 DOF = 1862 P(0) = 74.7216 P(1) = 5.23970E-06 P(2) = 93.1980 P(3) = 61.2262 P(4) = 0.000130000 P(5) = 0.0162501 Iter 83 CHI-SQUARE = 9151.6840 DOF = 1862 P(0) = 74.7164 P(1) = 5.20993E-06 P(2) = 93.1965 P(3) = 61.2213 P(4) = 0.000130000 P(5) = 0.0160208 Iter 84 CHI-SQUARE = 9151.6819 DOF = 1862 P(0) = 74.7360 P(1) = 5.18953E-06 P(2) = 93.2229 P(3) = 61.2243 P(4) = 0.000130000 P(5) = 0.0158547 Iter 85 CHI-SQUARE = 9151.6805 DOF = 1862 P(0) = 74.7248 P(1) = 5.18971E-06 P(2) = 93.2110 P(3) = 61.2165 P(4) = 0.000130000 P(5) = 0.0161481 Iter 86 CHI-SQUARE = 9151.6803 DOF = 1862 P(0) = 74.7350 P(1) = 5.18168E-06 P(2) = 93.2245 P(3) = 61.2199 P(4) = 0.000130000 P(5) = 0.0164179 Iter 87 CHI-SQUARE = 9151.6779 DOF = 1862 P(0) = 74.7215 P(1) = 5.17437E-06 P(2) = 93.2105 P(3) = 61.2148 P(4) = 0.000130000 P(5) = 0.0163208 Iter 88 CHI-SQUARE = 9151.6752 DOF = 1862 P(0) = 74.7248 P(1) = 5.15770E-06 P(2) = 93.2186 P(3) = 61.2169 P(4) = 0.000130000 P(5) = 0.0163272 Iter 89 CHI-SQUARE = 9151.6739 DOF = 1862 P(0) = 74.7242 P(1) = 5.14342E-06 P(2) = 93.2193 P(3) = 61.2162 P(4) = 0.000130000 P(5) = 0.0154316 Iter 90 CHI-SQUARE = 9151.6721 DOF = 1862 P(0) = 74.7268 P(1) = 5.13814E-06 P(2) = 93.2263 P(3) = 61.2151 P(4) = 0.000130000 P(5) = 0.0163770 Iter 91 CHI-SQUARE = 9151.6721 DOF = 1862 P(0) = 74.7234 P(1) = 5.13896E-06 P(2) = 93.2223 P(3) = 61.2135 P(4) = 0.000130000 P(5) = 0.0163013 Iter 92 CHI-SQUARE = 9151.6720 DOF = 1862 P(0) = 74.7231 P(1) = 5.13821E-06 P(2) = 93.2219 P(3) = 61.2133 P(4) = 0.000130000 P(5) = 0.0162973 Iter 93 CHI-SQUARE = 9151.6718 DOF = 1862 P(0) = 74.7227 P(1) = 5.13748E-06 P(2) = 93.2215 P(3) = 61.2132 P(4) = 0.000130000 P(5) = 0.0162944 Iter 94 CHI-SQUARE = 9151.6717 DOF = 1862 P(0) = 74.7221 P(1) = 5.13675E-06 P(2) = 93.2210 P(3) = 61.2130 P(4) = 0.000130000 P(5) = 0.0162939 Iter 94 CHI-SQUARE = 9151.6717 DOF = 1862 P(0) = 74.7221 P(1) = 5.13675E-06 P(2) = 93.2210 P(3) = 61.2130 P(4) = 0.000130000 P(5) = 0.0162939 FITMOONPLUSLINE: sdR-b2-00034754.fit: fit coeffs: 74.722106 5.1367533e-06 93.220962 61.212952 0.00013000000 0.016293870 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034754.fit: changing 4046.58 correction from -0.724687 to -0.046445396 pixels, err= 0.033477143 Iter 1 CHI-SQUARE = 45803.768 DOF = 3854 P(0) = 65.2889 P(1) = 0.00000 P(2) = 65.2889 P(3) = 65.2889 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 13331.303 DOF = 3854 P(0) = 120.397 P(1) = -2.39842E-05 P(2) = 117.232 P(3) = 189.426 P(4) = 0.000130000 P(5) = 0.276639 Iter 3 CHI-SQUARE = 13304.710 DOF = 3854 P(0) = 120.354 P(1) = -7.08887E-06 P(2) = 116.675 P(3) = 187.941 P(4) = 0.000130000 P(5) = 0.331921 Iter 4 CHI-SQUARE = 13270.707 DOF = 3854 P(0) = 120.260 P(1) = -7.97271E-06 P(2) = 117.371 P(3) = 189.141 P(4) = 0.000130000 P(5) = 0.276583 Iter 5 CHI-SQUARE = 13270.515 DOF = 3854 P(0) = 120.418 P(1) = -8.11661E-06 P(2) = 117.573 P(3) = 189.092 P(4) = 0.000130000 P(5) = 0.276384 Iter 5 CHI-SQUARE = 13270.515 DOF = 3854 P(0) = 120.418 P(1) = -8.11661E-06 P(2) = 117.573 P(3) = 189.092 P(4) = 0.000130000 P(5) = 0.276384 FITMOONPLUSLINE: sdR-b2-00034754.fit: fit coeffs: 120.41817 -8.1166118e-06 117.57349 189.09216 0.00013000000 0.27638371 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034754.fit: changing 4358.33 correction from 0.0375545 to 0.074836687 pixels, err= 0.021193969 Iter 1 CHI-SQUARE = 23486.766 DOF = 1286 P(0) = 104.555 P(1) = 0.00000 P(2) = 104.555 P(3) = 104.555 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 2700.2550 DOF = 1286 P(0) = 186.072 P(1) = -6.76711E-06 P(2) = 239.144 P(3) = 262.521 P(4) = 0.000130000 P(5) = 0.444362 Iter 3 CHI-SQUARE = 2699.0327 DOF = 1286 P(0) = 186.060 P(1) = -6.69227E-06 P(2) = 227.696 P(3) = 263.293 P(4) = 0.000130000 P(5) = 0.454852 Iter 4 CHI-SQUARE = 2698.8017 DOF = 1286 P(0) = 186.108 P(1) = -6.65615E-06 P(2) = 222.895 P(3) = 263.848 P(4) = 0.000130000 P(5) = 0.452099 Iter 5 CHI-SQUARE = 2698.7327 DOF = 1286 P(0) = 186.097 P(1) = -6.63451E-06 P(2) = 221.266 P(3) = 264.057 P(4) = 0.000130000 P(5) = 0.451024 Iter 6 CHI-SQUARE = 2698.6551 DOF = 1286 P(0) = 185.945 P(1) = -6.62399E-06 P(2) = 220.601 P(3) = 264.072 P(4) = 0.000130000 P(5) = 0.448721 Iter 7 CHI-SQUARE = 2698.5971 DOF = 1286 P(0) = 186.033 P(1) = -6.58402E-06 P(2) = 220.226 P(3) = 264.248 P(4) = 0.000130000 P(5) = 0.449089 Iter 8 CHI-SQUARE = 2698.5191 DOF = 1286 P(0) = 185.831 P(1) = -6.54907E-06 P(2) = 220.137 P(3) = 264.218 P(4) = 0.000130000 P(5) = 0.454980 Iter 9 CHI-SQUARE = 2698.4139 DOF = 1286 P(0) = 186.096 P(1) = -6.46891E-06 P(2) = 220.577 P(3) = 264.250 P(4) = 0.000130000 P(5) = 0.453007 Iter 10 CHI-SQUARE = 2698.2445 DOF = 1286 P(0) = 186.067 P(1) = -6.38309E-06 P(2) = 220.956 P(3) = 264.188 P(4) = 0.000130000 P(5) = 0.457462 Iter 11 CHI-SQUARE = 2698.2003 DOF = 1286 P(0) = 186.070 P(1) = -6.36678E-06 P(2) = 221.093 P(3) = 264.186 P(4) = 0.000130000 P(5) = 0.453399 Iter 12 CHI-SQUARE = 2698.1326 DOF = 1286 P(0) = 185.965 P(1) = -6.35476E-06 P(2) = 221.140 P(3) = 264.124 P(4) = 0.000130000 P(5) = 0.451601 Iter 13 CHI-SQUARE = 2698.0716 DOF = 1286 P(0) = 185.956 P(1) = -6.32095E-06 P(2) = 221.193 P(3) = 264.157 P(4) = 0.000130000 P(5) = 0.453799 Iter 14 CHI-SQUARE = 2698.0131 DOF = 1286 P(0) = 185.989 P(1) = -6.25660E-06 P(2) = 221.415 P(3) = 264.169 P(4) = 0.000130000 P(5) = 0.438592 Iter 15 CHI-SQUARE = 2697.9725 DOF = 1286 P(0) = 185.962 P(1) = -6.26407E-06 P(2) = 221.478 P(3) = 264.133 P(4) = 0.000130000 P(5) = 0.446610 Iter 16 CHI-SQUARE = 2697.9456 DOF = 1286 P(0) = 185.897 P(1) = -6.25221E-06 P(2) = 221.494 P(3) = 264.104 P(4) = 0.000130000 P(5) = 0.449607 Iter 17 CHI-SQUARE = 2697.9112 DOF = 1286 P(0) = 185.868 P(1) = -6.22347E-06 P(2) = 221.539 P(3) = 264.114 P(4) = 0.000130000 P(5) = 0.445785 Iter 18 CHI-SQUARE = 2697.8421 DOF = 1286 P(0) = 185.919 P(1) = -6.19497E-06 P(2) = 221.645 P(3) = 264.137 P(4) = 0.000130000 P(5) = 0.448531 Iter 19 CHI-SQUARE = 2697.7657 DOF = 1286 P(0) = 185.925 P(1) = -6.13685E-06 P(2) = 221.870 P(3) = 264.116 P(4) = 0.000130000 P(5) = 0.442288 Iter 20 CHI-SQUARE = 2697.7272 DOF = 1286 P(0) = 185.856 P(1) = -6.12109E-06 P(2) = 221.967 P(3) = 264.066 P(4) = 0.000130000 P(5) = 0.447977 Iter 21 CHI-SQUARE = 2697.6822 DOF = 1286 P(0) = 185.951 P(1) = -6.10387E-06 P(2) = 222.036 P(3) = 264.129 P(4) = 0.000130000 P(5) = 0.448663 Iter 22 CHI-SQUARE = 2697.6620 DOF = 1286 P(0) = 185.993 P(1) = -6.08658E-06 P(2) = 222.238 P(3) = 264.077 P(4) = 0.000130000 P(5) = 0.454130 Iter 23 CHI-SQUARE = 2697.6493 DOF = 1286 P(0) = 185.954 P(1) = -6.08567E-06 P(2) = 222.252 P(3) = 264.056 P(4) = 0.000130000 P(5) = 0.451968 Iter 24 CHI-SQUARE = 2697.6298 DOF = 1286 P(0) = 185.933 P(1) = -6.07503E-06 P(2) = 222.258 P(3) = 264.059 P(4) = 0.000130000 P(5) = 0.451396 Iter 25 CHI-SQUARE = 2697.5951 DOF = 1286 P(0) = 185.908 P(1) = -6.05341E-06 P(2) = 222.295 P(3) = 264.060 P(4) = 0.000130000 P(5) = 0.452452 Iter 26 CHI-SQUARE = 2697.5221 DOF = 1286 P(0) = 185.963 P(1) = -6.01003E-06 P(2) = 222.475 P(3) = 264.061 P(4) = 0.000130000 P(5) = 0.452379 Iter 27 CHI-SQUARE = 2697.5077 DOF = 1286 P(0) = 185.982 P(1) = -6.00002E-06 P(2) = 222.575 P(3) = 264.055 P(4) = 0.000130000 P(5) = 0.451947 Iter 28 CHI-SQUARE = 2697.4746 DOF = 1286 P(0) = 185.992 P(1) = -5.97892E-06 P(2) = 222.671 P(3) = 264.044 P(4) = 0.000130000 P(5) = 0.452080 Iter 29 CHI-SQUARE = 2697.3999 DOF = 1286 P(0) = 185.977 P(1) = -5.93627E-06 P(2) = 222.818 P(3) = 264.026 P(4) = 0.000130000 P(5) = 0.451274 Iter 30 CHI-SQUARE = 2697.3998 DOF = 1286 P(0) = 185.974 P(1) = -5.93660E-06 P(2) = 222.824 P(3) = 264.021 P(4) = 0.000130000 P(5) = 0.451188 Iter 31 CHI-SQUARE = 2697.3993 DOF = 1286 P(0) = 185.972 P(1) = -5.93648E-06 P(2) = 222.827 P(3) = 264.019 P(4) = 0.000130000 P(5) = 0.451150 Iter 32 CHI-SQUARE = 2697.3985 DOF = 1286 P(0) = 185.969 P(1) = -5.93633E-06 P(2) = 222.833 P(3) = 264.015 P(4) = 0.000130000 P(5) = 0.451072 Iter 33 CHI-SQUARE = 2697.3971 DOF = 1286 P(0) = 185.962 P(1) = -5.93603E-06 P(2) = 222.846 P(3) = 264.008 P(4) = 0.000130000 P(5) = 0.450927 Iter 34 CHI-SQUARE = 2697.3940 DOF = 1286 P(0) = 185.959 P(1) = -5.93435E-06 P(2) = 222.856 P(3) = 264.007 P(4) = 0.000130000 P(5) = 0.450818 Iter 35 CHI-SQUARE = 2697.3909 DOF = 1286 P(0) = 185.955 P(1) = -5.93260E-06 P(2) = 222.862 P(3) = 264.005 P(4) = 0.000130000 P(5) = 0.450693 Iter 36 CHI-SQUARE = 2697.3880 DOF = 1286 P(0) = 185.953 P(1) = -5.93093E-06 P(2) = 222.869 P(3) = 264.004 P(4) = 0.000130000 P(5) = 0.450608 Iter 37 CHI-SQUARE = 2697.3851 DOF = 1286 P(0) = 185.952 P(1) = -5.92921E-06 P(2) = 222.874 P(3) = 264.004 P(4) = 0.000130000 P(5) = 0.450532 Iter 38 CHI-SQUARE = 2697.3851 DOF = 1286 P(0) = 185.951 P(1) = -5.92923E-06 P(2) = 222.877 P(3) = 264.004 P(4) = 0.000130000 P(5) = 0.450529 Iter 39 CHI-SQUARE = 2697.3850 DOF = 1286 P(0) = 185.950 P(1) = -5.92918E-06 P(2) = 222.878 P(3) = 264.004 P(4) = 0.000130000 P(5) = 0.450529 Iter 40 CHI-SQUARE = 2697.3848 DOF = 1286 P(0) = 185.950 P(1) = -5.92907E-06 P(2) = 222.879 P(3) = 264.004 P(4) = 0.000130000 P(5) = 0.450528 Iter 41 CHI-SQUARE = 2697.3845 DOF = 1286 P(0) = 185.948 P(1) = -5.92894E-06 P(2) = 222.884 P(3) = 264.004 P(4) = 0.000130000 P(5) = 0.450532 Iter 42 CHI-SQUARE = 2697.3837 DOF = 1286 P(0) = 185.947 P(1) = -5.92846E-06 P(2) = 222.887 P(3) = 264.005 P(4) = 0.000130000 P(5) = 0.450538 Iter 43 CHI-SQUARE = 2697.3821 DOF = 1286 P(0) = 185.945 P(1) = -5.92749E-06 P(2) = 222.891 P(3) = 264.005 P(4) = 0.000130000 P(5) = 0.450534 Iter 44 CHI-SQUARE = 2697.3788 DOF = 1286 P(0) = 185.944 P(1) = -5.92552E-06 P(2) = 222.897 P(3) = 264.006 P(4) = 0.000130000 P(5) = 0.450540 Iter 45 CHI-SQUARE = 2697.3723 DOF = 1286 P(0) = 185.939 P(1) = -5.92155E-06 P(2) = 222.906 P(3) = 264.006 P(4) = 0.000130000 P(5) = 0.450396 Iter 46 CHI-SQUARE = 2697.3679 DOF = 1286 P(0) = 185.924 P(1) = -5.91845E-06 P(2) = 222.918 P(3) = 263.998 P(4) = 0.000130000 P(5) = 0.450309 Iter 47 CHI-SQUARE = 2697.3623 DOF = 1286 P(0) = 185.925 P(1) = -5.91506E-06 P(2) = 222.922 P(3) = 264.003 P(4) = 0.000130000 P(5) = 0.450060 Iter 48 CHI-SQUARE = 2697.3562 DOF = 1286 P(0) = 185.930 P(1) = -5.91158E-06 P(2) = 222.934 P(3) = 264.013 P(4) = 0.000130000 P(5) = 0.450923 Iter 49 CHI-SQUARE = 2697.3562 DOF = 1286 P(0) = 185.930 P(1) = -5.91158E-06 P(2) = 222.934 P(3) = 264.013 P(4) = 0.000130000 P(5) = 0.450923 FITMOONPLUSLINE: sdR-b2-00034754.fit: fit coeffs: 185.92954 -5.9115797e-06 222.93411 264.01282 0.00013000000 0.45092303 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034754.fit: changing 5460.94 correction from 0.147861 to 0.061014360 pixels, err= 0.018096483 LOCATESKYLINES_2: sdR-b2-00034754.fit: applying -0.02 pixel correction to 0.19 0.17 0.61 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 FITMEANX: sdR-b2-00034754.fit: In skyline number 0 std-dev is 0.16210670 pix FITMEANX: sdR-b2-00034754.fit: In skyline number 1 std-dev is 0.057133073 pix FITMEANX: sdR-b2-00034754.fit: In skyline number 2 std-dev is 0.050980279 pix FITMEANX: sdR-b2-00034754.fit: In skyline number 3 std-dev is 0.018724502 pix FITMEANX: sdR-b2-00034754.fit: In skyline number 4 std-dev is 0.040592637 pix FITMEANX: sdR-b2-00034754.fit: In skyline number 5 std-dev is 0.055288769 pix LOCATESKYLINES_2: sdR-b2-00034754.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034754.fit: In sky feature at 4046.5600 coadded std-dev is 0.0334771 pix LOCATESKYLINES_2: sdR-b2-00034754.fit: In sky feature at 4358.3300 coadded std-dev is 0.0211940 pix LOCATESKYLINES_2: sdR-b2-00034754.fit: In sky feature at 5460.9400 coadded std-dev is 0.0180965 pix LOCATESKYLINES_2: sdR-b2-00034754.fit: In sky feature at 5577.3390 coadded std-dev is 0.00309733 pix LOCATESKYLINES_2: sdR-b2-00034754.fit: In sky feature at 5889.9500 coadded std-dev is 0.00843637 pix LOCATESKYLINES_2: sdR-b2-00034754.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034754.fit: Median arc shift = 0.084529964 pix LOCATESKYLINES_2: sdR-b2-00034754.fit: Dispersion in arc shift = 0.053758136 pix LOCATESKYLINES_2: sdR-b2-00034754.fit: Maximum sky-line shift is 0.15048634 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Number of sky fibers = 31 ROW NITER SIG(med) CHI^2 .0000 1 0.86 0.12 .0001 1 0.86 0.61 .0002 4 0.86 0.58 .0003 1 0.86 0.38 .0004 5 0.86 0.60 .0005 9 0.86 0.49 .0006 1 0.86 0.10 .0007 5 0.86 0.82 .0008 1 0.86 0.50 .0009 4 0.86 0.92 .0010 2 0.86 0.66 .0011 9 0.86 0.34 .0012 8 0.86 0.42 .0013 3 0.86 0.09 .0014 3 0.86 0.95 .0015 3 0.86 0.81 .0016 3 0.86 0.62 .0017 5 0.86 0.74 .0018 1 0.86 0.09 .0019 1 0.86 0.31 .0020 4 0.84 0.81 .0021 1 0.84 0.22 .0022 9 0.84 0.34 .0023 10 0.84 0.32 .0024 2 0.84 0.66 .0025 1 0.84 0.59 .0026 2 0.84 0.12 .0027 9 0.84 0.41 .0028 1 0.84 0.77 .0029 4 0.84 0.64 .0030 1 0.84 0.50 .0031 2 0.84 0.62 .0032 10 0.84 0.31 .0033 5 0.84 0.94 .0034 10 0.84 0.35 .0035 4 0.84 0.64 .0036 3 0.84 0.79 .0037 3 0.84 0.74 .0038 2 0.84 0.78 .0039 2 0.84 0.71 .0040 9 0.87 0.27 .0041 2 0.87 0.67 .0042 2 0.87 0.50 .0043 1 0.87 0.59 .0044 1 0.87 0.43 .0045 8 0.87 0.44 .0046 9 0.87 0.33 .0047 2 0.87 0.60 .0048 1 0.87 0.42 .0049 1 0.87 0.47 .0050 3 0.87 0.54 .0051 8 0.87 0.42 .0052 1 0.87 0.12 .0053 1 0.87 0.59 .0054 4 0.87 0.76 .0055 9 0.87 0.34 .0056 2 0.87 0.56 .0057 2 0.87 0.79 .0058 2 0.87 0.71 .0059 1 0.87 0.46 .0060 1 0.86 0.12 .0061 2 0.86 0.67 .0062 4 0.86 0.63 .0063 1 0.86 0.11 .0064 10 0.86 0.25 .0065 3 0.86 0.60 .0066 3 0.86 0.76 .0067 6 0.86 0.63 .0068 3 0.86 0.52 .0069 10 0.86 0.31 .0070 7 0.86 0.50 .0071 1 0.86 0.55 .0072 3 0.86 0.60 .0073 1 0.86 0.65 .0074 1 0.86 0.55 .0075 4 0.86 0.55 .0076 9 0.86 0.49 .0077 3 0.86 0.69 .0078 6 0.86 0.45 .0079 1 0.86 0.48 .0080 8 0.86 0.57 .0081 3 0.86 0.50 .0082 1 0.86 0.11 .0083 3 0.86 0.66 .0084 1 0.86 0.10 .0085 1 0.86 0.49 .0086 10 0.86 0.29 .0087 3 0.86 0.71 .0088 6 0.86 0.49 .0089 1 0.86 0.67 .0090 4 0.86 0.59 .0091 2 0.86 0.37 .0092 2 0.86 0.63 .0093 3 0.86 0.85 .0094 1 0.86 0.56 .0095 3 0.86 0.70 .0096 4 0.86 0.65 .0097 8 0.86 0.40 .0098 3 0.86 0.75 .0099 2 0.86 0.49 .0100 2 0.86 0.67 .0101 8 0.86 0.30 .0102 10 0.86 0.26 .0103 1 0.86 0.61 .0104 2 0.86 0.47 .0105 9 0.86 0.40 .0106 1 0.86 0.50 .0107 4 0.86 0.68 .0108 1 0.86 0.57 .0109 1 0.86 0.11 .0110 1 0.86 0.37 .0111 3 0.86 0.56 .0112 9 0.86 0.49 .0113 1 0.86 0.61 .0114 1 0.86 0.11 .0115 3 0.86 0.74 .0116 2 0.86 0.64 .0117 8 0.86 0.32 .0118 2 0.86 0.51 .0119 2 0.86 0.60 .0120 2 0.84 0.59 .0121 2 0.84 0.31 .0122 3 0.84 0.59 .0123 2 0.84 0.69 .0124 1 0.84 0.48 .0125 1 0.84 0.60 .0126 1 0.84 0.49 .0127 1 0.84 0.69 .0128 9 0.84 0.31 .0129 2 0.84 0.65 .0130 6 0.84 0.78 .0131 1 0.84 0.11 .0132 6 0.84 0.46 .0133 3 0.84 0.83 .0134 3 0.84 0.80 .0135 2 0.84 0.60 .0136 1 0.84 0.34 .0137 3 0.84 0.52 .0138 2 0.84 0.64 .0139 6 0.84 0.53 .0140 1 0.85 0.49 .0141 8 0.85 0.66 .0142 9 0.85 0.40 .0143 1 0.85 0.58 .0144 2 0.85 0.96 .0145 1 0.85 0.57 .0146 2 0.85 0.63 .0147 2 0.85 0.55 .0148 2 0.85 0.71 .0149 9 0.85 0.32 .0150 2 0.85 0.66 .0151 3 0.85 0.72 .0152 3 0.85 0.51 .0153 1 0.85 0.14 .0154 10 0.85 0.26 .0155 10 0.85 0.53 .0156 2 0.85 0.73 .0157 11 0.85 0.45 .0158 1 0.85 0.52 .0159 4 0.85 0.71 .0160 1 0.86 0.65 .0161 3 0.86 0.80 .0162 1 0.86 0.75 .0163 1 0.86 0.65 .0164 3 0.86 0.66 .0165 1 0.86 0.12 .0166 1 0.86 0.38 .0167 1 0.86 0.77 .0168 2 0.86 0.75 .0169 3 0.86 0.81 .0170 4 0.86 0.74 .0171 1 0.86 0.66 .0172 1 0.86 0.16 .0173 1 0.86 0.68 .0174 1 0.86 0.17 .0175 2 0.86 0.49 .0176 1 0.86 0.12 .0177 2 0.86 0.67 .0178 1 0.86 0.15 .0179 1 0.86 0.32 .0180 1 0.85 0.15 .0181 1 0.85 0.39 .0182 1 0.85 0.13 .0183 3 0.85 0.65 .0184 1 0.85 0.12 .0185 1 0.85 0.14 .0186 1 0.85 0.12 .0187 1 0.85 0.14 .0188 2 0.85 0.77 .0189 4 0.85 0.90 .0190 1 0.85 0.16 .0191 1 0.85 0.14 .0192 1 0.85 0.11 .0193 1 0.85 0.23 .0194 1 0.85 0.15 .0195 1 0.85 0.14 .0196 1 0.85 0.20 .0197 3 0.85 0.86 .0198 1 0.85 0.17 .0199 1 0.85 0.14 .0200 1 0.85 0.33 .0201 1 0.85 0.13 .0202 9 0.85 0.33 .0203 2 0.85 0.56 .0204 1 0.85 0.10 .0205 11 0.85 0.31 .0206 1 0.85 0.12 .0207 9 0.85 0.52 .0208 2 0.85 0.59 .0209 10 0.85 0.45 .0210 2 0.85 0.67 .0211 4 0.85 0.74 .0212 2 0.85 0.80 .0213 1 0.85 0.10 .0214 2 0.85 0.62 .0215 6 0.85 0.69 .0216 9 0.85 0.44 .0217 9 0.85 0.42 .0218 1 0.85 0.34 .0219 2 0.85 0.45 .0220 3 0.85 0.71 .0221 3 0.85 0.87 .0222 3 0.85 0.63 .0223 8 0.85 0.31 .0224 3 0.85 0.58 .0225 1 0.85 0.51 .0226 4 0.85 0.83 .0227 1 0.85 0.26 .0228 8 0.85 0.50 .0229 3 0.85 0.71 .0230 1 0.85 0.57 .0231 3 0.85 0.83 .0232 1 0.85 0.14 .0233 3 0.85 0.81 .0234 3 0.85 0.64 .0235 1 0.85 0.09 .0236 2 0.85 0.80 .0237 2 0.85 0.82 .0238 11 0.85 0.27 .0239 1 0.85 0.11 .0240 9 0.85 0.33 .0241 0 0.85 0.00 .0242 9 0.85 0.33 .0243 3 0.85 1.25 .0244 3 0.85 0.72 .0245 3 0.85 0.83 .0246 2 0.85 0.59 .0247 3 0.85 0.77 .0248 2 0.85 0.71 .0249 1 0.85 0.67 .0250 1 0.85 0.75 .0251 4 0.85 0.78 .0252 2 0.85 0.69 .0253 2 0.85 0.65 .0254 1 0.85 0.18 .0255 3 0.85 0.84 .0256 1 0.85 0.57 .0257 1 0.85 0.09 .0258 2 0.85 0.61 .0259 1 0.85 0.10 .0260 1 0.85 0.12 .0261 1 0.85 0.12 .0262 7 0.85 0.61 .0263 0 0.85 0.00 .0264 5 0.85 0.73 .0265 1 0.85 0.10 .0266 3 0.85 0.68 .0267 3 0.85 0.64 .0268 2 0.85 1.04 .0269 3 0.85 0.74 .0270 3 0.85 0.78 .0271 1 0.85 0.09 .0272 2 0.85 0.81 .0273 3 0.85 1.48 .0274 3 0.85 0.67 .0275 9 0.85 0.37 .0276 1 0.85 0.09 .0277 3 0.85 0.95 .0278 4 0.85 1.12 .0279 5 0.85 0.86 .0280 1 0.86 0.60 .0281 1 0.86 0.10 .0282 3 0.86 0.74 .0283 2 0.86 0.63 .0284 1 0.86 0.10 .0285 3 0.86 0.82 .0286 1 0.86 0.65 .0287 1 0.86 0.52 .0288 2 0.86 0.59 .0289 4 0.86 0.63 .0290 2 0.86 0.79 .0291 4 0.86 0.79 .0292 0 0.86 0.00 .0293 5 0.86 0.68 .0294 1 0.86 0.58 .0295 1 0.86 0.51 .0296 3 0.86 0.64 .0297 3 0.86 0.68 .0298 10 0.86 0.51 .0299 2 0.86 0.91 .0300 2 0.86 0.73 .0301 3 0.86 0.82 .0302 4 0.86 0.81 .0303 10 0.86 0.46 .0304 6 0.86 0.83 .0305 1 0.86 0.63 .0306 2 0.86 0.66 .0307 1 0.86 0.07 .0308 1 0.86 0.09 .0309 2 0.86 0.68 .0310 2 0.86 0.75 .0311 0 0.86 0.00 .0312 8 0.86 0.44 .0313 6 0.86 0.58 .0314 3 0.86 0.75 .0315 5 0.86 1.02 .0316 7 0.86 0.88 .0317 3 0.86 0.68 .0318 3 0.86 0.79 .0319 4 0.86 0.81 EXTRACT_IMAGE: sdR-b2-00034754.fit: masked 1178 pixels SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 0 median sigma(arc)= 0.86140306 sigma(sky)= -638.29540 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 0 sigma^2(add)= 373470.37 +/- 437402.57 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 1 median sigma(arc)= 0.86122845 sigma(sky)= -809.91969 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 1 sigma^2(add)= 601859.12 +/- 1642754.5 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 2 median sigma(arc)= 0.85466638 sigma(sky)= 1.0408198 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 2 sigma^2(add)= 0.38537611 +/- 0.18643247 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 3 median sigma(arc)= 0.85353824 sigma(sky)= 0.72386709 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 3 sigma^2(add)= 0.037639380 +/- 0.42210752 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 4 median sigma(arc)= 0.88248080 sigma(sky)= 1.3474081 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 4 sigma^2(add)= 1.0397134 +/- 0.76663588 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 5 median sigma(arc)= 0.90627048 sigma(sky)= -38.092925 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Line # 5 sigma^2(add)= 31416.066 +/- 318645.99 SKYLINE_DISPERSION: sdR-b2-00034754.fit: Flexure sigma^2(add) = 0.13156380 +/- 0.23997306 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034754.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034754.fit: Heliocentric correction = 22.873117 km/s FITVACSET: sdR-b2-00034754.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034754.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 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293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034754.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034754.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034754.fit: Number of sky fibers = 30 SKYSUBTRACT: sdR-b2-00034754.fit: Airmass range = 1.18012 1.21713 SKYSUBTRACT: sdR-b2-00034754.fit: Discarding 0.00105794 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 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of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034754.fit: Median sky-residual chi2 = 1.95192 SKYSUBTRACT: sdR-b2-00034754.fit: Max sky-residual chi2 = 4.85096 QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 1 = 10.4948 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 7 = -29.6157 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 14 = -34.5903 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 19 = -21.6213 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 53 = -28.0594 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 64 = -30.5243 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 83 = -31.6013 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 85 = -47.3313 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 110 = -30.8578 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 115 = -30.9156 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 132 = -19.3898 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 177 = 15.7787 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 181 = 18.6825 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 185 = 25.5963 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 186 = 14.2689 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 187 = 15.7905 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 214 = 35.6740 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 258 = 11.8818 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 261 = 12.6888 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 262 = 19.1654 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 309 = 22.2097 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Median sky-residual chi = 1.44096 QAPLOT_SKYSUB: sdR-b2-00034754.fit: Max sky-residual chi = 2.95176 at 3807.9058 Ang SKYSUBTRACT: sdR-b2-00034754.fit: Number of sky fibers = 30 SKYSUBTRACT: sdR-b2-00034754.fit: Airmass range = 1.18012 1.21713 SKYSUBTRACT: sdR-b2-00034754.fit: Discarding 0.00105794 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 of 1534 Bin 612 of 1534 Bin 613 of 1534 Bin 614 of 1534 Bin 615 of 1534 Bin 616 of 1534 Bin 617 of 1534 Bin 618 of 1534 Bin 619 of 1534 Bin 620 of 1534 Bin 621 of 1534 Bin 622 of 1534 Bin 623 of 1534 Bin 624 of 1534 Bin 625 of 1534 Bin 626 of 1534 Bin 627 of 1534 Bin 628 of 1534 Bin 629 of 1534 Bin 630 of 1534 Bin 631 of 1534 Bin 632 of 1534 Bin 633 of 1534 Bin 634 of 1534 Bin 635 of 1534 Bin 636 of 1534 Bin 637 of 1534 Bin 638 of 1534 Bin 639 of 1534 Bin 640 of 1534 Bin 641 of 1534 Bin 642 of 1534 Bin 643 of 1534 Bin 644 of 1534 Bin 645 of 1534 Bin 646 of 1534 Bin 647 of 1534 Bin 648 of 1534 Bin 649 of 1534 Bin 650 of 1534 Bin 651 of 1534 Bin 652 of 1534 Bin 653 of 1534 Bin 654 of 1534 Bin 655 of 1534 Bin 656 of 1534 Bin 657 of 1534 Bin 658 of 1534 Bin 659 of 1534 Bin 660 of 1534 Bin 661 of 1534 Bin 662 of 1534 Bin 663 of 1534 Bin 664 of 1534 Bin 665 of 1534 Bin 666 of 1534 Bin 667 of 1534 Bin 668 of 1534 Bin 669 of 1534 Bin 670 of 1534 Bin 671 of 1534 Bin 672 of 1534 Bin 673 of 1534 Bin 674 of 1534 Bin 675 of 1534 Bin 676 of 1534 Bin 677 of 1534 Bin 678 of 1534 Bin 679 of 1534 Bin 680 of 1534 Bin 681 of 1534 Bin 682 of 1534 Bin 683 of 1534 Bin 684 of 1534 Bin 685 of 1534 Bin 686 of 1534 Bin 687 of 1534 Bin 688 of 1534 Bin 689 of 1534 Bin 690 of 1534 Bin 691 of 1534 Bin 692 of 1534 Bin 693 of 1534 Bin 694 of 1534 Bin 695 of 1534 Bin 696 of 1534 Bin 697 of 1534 Bin 698 of 1534 Bin 699 of 1534 Bin 700 of 1534 Bin 701 of 1534 Bin 702 of 1534 Bin 703 of 1534 Bin 704 of 1534 Bin 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of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 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Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034754.fit: Median sky-residual chi2 = 1.58715 SKYSUBTRACT: sdR-b2-00034754.fit: Max sky-residual chi2 = 4.47392 QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 1 = 36.7823 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 27 = 25.0857 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 53 = -11.8752 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 64 = -15.7311 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 83 = -20.2416 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 85 = -36.5844 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 110 = -24.0685 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 115 = -24.3654 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 132 = -15.7684 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 177 = 13.4231 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 181 = 15.1972 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 185 = 21.9642 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 186 = 10.4725 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 187 = 11.9674 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 214 = 28.5331 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Warning: Median sky-sub flux in sky fiber 308 = -12.6404 electrons QAPLOT_SKYSUB: sdR-b2-00034754.fit: Median sky-residual chi = 1.27603 QAPLOT_SKYSUB: sdR-b2-00034754.fit: Max sky-residual chi = 3.02166 at 6175.9299 Ang % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-b2-00034754.fit: Airmass range = 1.18 1.22 QAPLOT_SKYLINE: sdR-b2-00034754.fit: Flux dispersion for skyline 4359.5 = 14.83 % QAPLOT_SKYLINE: sdR-b2-00034754.fit: Airmass range = 1.18 1.22 QAPLOT_SKYLINE: sdR-b2-00034754.fit: Flux dispersion for skyline 5578.9 = 2.41 % SPADD_GUIDERINFO: sdR-b2-00034754.fit: Number of guider frames = 11 SPREDUCE: sdR-b2-00034754.fit: Elapsed time = 188. seconds SPREDUCE: sdR-b2-00034755.fit: Reading object sdR-b2-00034755.fit MRDFITS: Image array (2128,2069) Type=Int*2 MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-b2-00034755.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-b2-00034755.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-b2-00034755.fit: Measured read-noise in DN for amp# 2 = 3.82764 SDSSPROC: sdR-b2-00034755.fit: Measured bias value in DN for amp# 2 = 1225.53 SDSSPROC: sdR-b2-00034755.fit: Applying gain for amp# 2 = 1.23000 SDSSPROC: sdR-b2-00034755.fit: Amp #2 Number of pix below bias-5*sigma= 1206. DN is 0 SDSSPROC: sdR-b2-00034755.fit: Measured read-noise in DN for amp# 3 = 3.28736 SDSSPROC: sdR-b2-00034755.fit: Measured bias value in DN for amp# 3 = 1198.36 SDSSPROC: sdR-b2-00034755.fit: Applying gain for amp# 3 = 1.26000 SDSSPROC: sdR-b2-00034755.fit: Amp #3 Number of pix below bias-5*sigma= 1181. DN is 0 SDSSPROC: sdR-b2-00034755.fit: Number of bleading columns = 1 SDSSPROC: sdR-b2-00034755.fit: Number of saturated rows = 0 FINDOPFILE: sdR-b2-00034755.fit: Selecting op file pixbiasave-00001-b2.fits SDSSPROC: sdR-b2-00034755.fit: Correcting with bias image pixbiasave-00001-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-b2-00034755.fit: Selecting op file pixflatave-53678-b2.fits SDSSPROC: sdR-b2-00034755.fit: Correcting with pixel flat pixflatave-53678-b2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-b2-00034755.fit: Science 25-th-percentile = 349.525 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210 EXTRACT_OBJECT: sdR-b2-00034755.fit: Whopping fibers: 5 12 14 23 27 32 34 64 70 76 86 102 105 112 142 149 155 157 197 205 207 209 216 223 226 275 303 312 315 EXTRACT_OBJECT: sdR-b2-00034755.fit: Median counts in all fibers = 9070.37 EXTRACT_OBJECT: sdR-b2-00034755.fit: Number of bright fibers = 29 EXTRACT_OBJECT: sdR-b2-00034755.fit: Sky fiber median 582.930 EXTRACT_OBJECT: sdR-b2-00034755.fit: 5% and 95% count levels 514.073 23788.0 EXTRACT_OBJECT: sdR-b2-00034755.fit: WARNING: Disable whopping terms sdR-b2-00034755.fit MATCH_TRACE: sdR-b2-00034755.fit: Iteration: 0 Pixels Rejected: 7999 Finished? 0 MATCH_TRACE: sdR-b2-00034755.fit: Iteration: 1 Pixels Rejected: 47 Finished? 0 MATCH_TRACE: sdR-b2-00034755.fit: Iteration: 2 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: sdR-b2-00034755.fit: Iteration: 3 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-b2-00034755.fit: Shifting traces by match_trace -0.000488281 EXTRACT_OBJECT: sdR-b2-00034755.fit: Extracting frame sdR-b2-00034755.fit with 4 step process EXTRACT_OBJECT: sdR-b2-00034755.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 3 0.91 1.87 .0001 1 0.91 1.80 .0002 1 0.91 1.71 .0003 1 0.91 1.80 .0004 1 0.91 1.80 .0005 1 0.91 1.89 .0006 1 0.91 1.68 .0007 1 0.91 1.68 .0008 2 0.91 1.60 .0009 2 0.91 2.07 .0010 3 0.91 2.00 .0011 4 0.91 1.92 .0012 1 0.91 1.72 .0013 1 0.91 1.73 .0014 2 0.91 1.69 .0015 1 0.91 1.74 .0016 1 0.91 1.74 .0017 1 0.91 1.71 .0018 1 0.91 1.70 .0019 1 0.91 1.58 .0020 1 0.91 1.61 .0021 1 0.91 1.61 .0022 1 0.91 1.69 .0023 2 0.91 1.61 .0024 1 0.91 1.73 .0025 1 0.91 1.52 .0026 1 0.91 1.63 .0027 2 0.91 1.66 .0028 4 0.91 1.63 .0029 2 0.91 1.78 .0030 4 0.91 1.59 .0031 3 0.91 1.92 .0032 2 0.91 1.57 .0033 2 0.91 1.56 .0034 1 0.91 1.66 .0035 1 0.91 1.57 .0036 2 0.91 1.56 .0037 1 0.91 1.57 .0038 1 0.91 1.57 .0039 3 0.91 1.44 .0040 2 0.91 1.58 .0041 1 0.91 1.58 .0042 1 0.91 1.51 .0043 1 0.91 1.32 .0044 1 0.91 1.44 .0045 1 0.91 1.47 .0046 2 0.91 1.49 .0047 1 0.91 1.51 .0048 1 0.91 1.51 .0049 1 0.91 1.43 .0050 1 0.91 1.50 .0051 3 0.91 1.45 .0052 2 0.91 1.54 .0053 2 0.91 1.47 .0054 2 0.91 1.49 .0055 1 0.91 1.55 .0056 3 0.91 1.62 .0057 1 0.91 1.48 .0058 1 0.91 1.64 .0059 2 0.91 1.62 .0060 3 0.91 1.64 .0061 3 0.91 1.60 .0062 1 0.91 1.66 .0063 2 0.91 1.51 .0064 2 0.91 1.68 .0065 2 0.91 1.87 .0066 4 0.91 1.73 .0067 1 0.91 1.82 .0068 1 0.91 2.11 .0069 3 0.91 1.70 .0070 1 0.91 1.87 .0071 1 0.91 1.86 .0072 1 0.91 1.82 .0073 1 0.91 1.96 .0074 1 0.91 1.94 .0075 1 0.91 2.10 .0076 1 0.91 1.88 .0077 2 0.91 1.98 .0078 1 0.91 1.85 .0079 3 0.91 2.23 .0080 3 0.91 2.31 .0081 2 0.91 2.20 .0082 2 0.91 2.16 .0083 4 0.91 2.07 .0084 3 0.91 2.17 .0085 1 0.91 2.22 .0086 1 0.91 2.14 .0087 1 0.91 2.12 .0088 2 0.91 2.33 .0089 3 0.91 2.33 .0090 3 0.91 2.24 .0091 2 0.91 2.20 .0092 1 0.91 2.25 .0093 3 0.91 2.22 .0094 4 0.91 2.36 .0095 3 0.91 2.15 .0096 1 0.91 2.28 .0097 2 0.91 2.32 .0098 2 0.91 2.39 .0099 2 0.91 2.21 .0100 1 0.91 2.35 .0101 1 0.91 2.30 .0102 1 0.91 2.37 .0103 1 0.91 2.57 .0104 1 0.91 2.36 .0105 4 0.91 2.36 .0106 3 0.91 2.53 .0107 1 0.91 2.45 .0108 3 0.91 2.57 .0109 2 0.91 2.52 .0110 2 0.91 2.40 .0111 2 0.91 2.47 .0112 2 0.91 2.52 .0113 2 0.91 2.48 .0114 1 0.91 2.37 .0115 1 0.91 2.49 .0116 1 0.91 2.53 .0117 3 0.91 2.52 .0118 1 0.91 2.57 .0119 2 0.91 2.44 .0120 1 0.91 2.48 .0121 2 0.91 2.50 .0122 2 0.91 2.64 .0123 1 0.91 2.67 .0124 1 0.91 2.77 .0125 1 0.91 2.58 .0126 1 0.91 2.59 .0127 1 0.91 2.47 .0128 1 0.91 2.47 .0129 2 0.91 2.50 .0130 2 0.91 2.69 .0131 1 0.91 2.49 .0132 2 0.91 2.57 .0133 4 0.91 2.51 .0134 3 0.91 2.51 .0135 2 0.91 2.47 .0136 2 0.91 2.60 .0137 1 0.91 2.60 .0138 2 0.91 2.56 .0139 3 0.91 2.85 .0140 1 0.91 2.46 .0141 1 0.91 2.39 .0142 1 0.91 2.45 .0143 2 0.91 2.68 .0144 1 0.91 2.56 .0145 1 0.91 2.56 .0146 2 0.91 2.51 .0147 2 0.91 2.50 .0148 1 0.91 2.46 .0149 1 0.91 2.39 .0150 1 0.91 2.50 .0151 2 0.91 2.49 .0152 2 0.91 2.51 .0153 3 0.91 2.73 .0154 3 0.91 2.54 .0155 1 0.91 2.47 .0156 1 0.91 2.55 .0157 1 0.91 2.55 .0158 1 0.91 2.47 .0159 1 0.91 2.50 .0160 3 0.91 2.57 .0161 2 0.91 2.39 .0162 1 0.91 2.63 .0163 2 0.91 2.65 .0164 3 0.91 2.71 .0165 2 0.91 2.60 .0166 1 0.91 2.72 .0167 1 0.91 2.69 .0168 3 0.92 2.60 .0169 1 0.92 2.45 .0170 1 0.92 2.39 .0171 1 0.92 2.60 .0172 1 0.92 2.50 .0173 1 0.92 2.45 .0174 2 0.92 2.66 .0175 1 0.92 2.63 .0176 1 0.92 2.53 .0177 1 0.92 2.49 .0178 4 0.92 2.61 .0179 3 0.92 2.50 .0180 3 0.92 2.68 .0181 1 0.92 2.51 .0182 1 0.92 2.58 .0183 1 0.92 2.51 .0184 2 0.92 2.76 .0185 1 0.92 2.59 .0186 2 0.92 2.74 .0187 2 0.92 2.58 .0188 1 0.92 2.54 .0189 1 0.92 2.67 .0190 1 0.92 2.49 .0191 1 0.92 2.61 .0192 1 0.92 2.63 .0193 1 0.92 2.61 .0194 2 0.92 2.77 .0195 2 0.92 2.61 .0196 1 0.92 2.68 .0197 1 0.92 2.53 .0198 1 0.92 2.60 .0199 1 0.92 2.56 .0200 1 0.92 2.58 .0201 2 0.92 2.57 .0202 2 0.92 2.56 .0203 1 0.92 2.50 .0204 2 0.92 2.62 .0205 2 0.92 2.75 .0206 2 0.92 2.50 .0207 1 0.92 2.70 .0208 1 0.92 2.57 .0209 3 0.92 2.75 .0210 2 0.92 2.70 .0211 1 0.92 2.71 .0212 1 0.92 2.55 .0213 2 0.92 2.54 .0214 2 0.92 2.75 .0215 3 0.92 2.56 .0216 3 0.92 2.57 .0217 2 0.92 2.57 .0218 2 0.92 2.53 .0219 2 0.92 2.74 .0220 2 0.92 2.58 .0221 2 0.92 2.76 .0222 2 0.92 2.42 .0223 1 0.92 2.35 .0224 1 0.92 2.48 .0225 2 0.92 2.38 .0226 2 0.92 2.73 .0227 2 0.92 2.66 .0228 1 0.92 2.56 .0229 1 0.92 2.63 .0230 1 0.92 2.71 .0231 1 0.92 2.55 .0232 1 0.92 2.59 .0233 1 0.92 2.72 .0234 1 0.92 2.83 .0235 2 0.92 3.16 .0236 1 0.92 2.67 .0237 1 0.92 2.70 .0238 1 0.92 2.79 .0239 3 0.92 2.70 .0240 2 0.92 2.82 .0241 1 0.92 2.84 .0242 1 0.92 2.89 .0243 1 0.92 2.78 .0244 1 0.92 2.68 .0245 2 0.92 2.88 .0246 3 0.92 2.68 .0247 1 0.92 2.66 .0248 1 0.92 2.70 .0249 1 0.92 2.84 .0250 3 0.92 2.87 .0251 2 0.92 2.77 .0252 1 0.92 2.67 .0253 1 0.92 2.82 .0254 2 0.92 2.79 .0255 2 0.92 2.83 .0256 3 0.92 2.81 .0257 2 0.92 3.02 .0258 2 0.92 2.97 .0259 2 0.92 3.23 .0260 3 0.92 2.87 .0261 4 0.92 3.25 .0262 2 0.92 2.93 .0263 2 0.92 3.10 .0264 1 0.92 3.07 .0265 1 0.92 3.00 .0266 3 0.92 3.05 .0267 2 0.92 2.96 .0268 2 0.92 2.86 .0269 2 0.92 2.98 .0270 2 0.92 2.95 .0271 1 0.92 3.10 .0272 3 0.92 3.11 .0273 2 0.92 3.12 .0274 1 0.92 2.96 .0275 3 0.92 3.23 .0276 3 0.92 3.27 .0277 1 0.92 3.40 .0278 4 0.92 3.25 .0279 3 0.92 3.65 .0280 2 0.92 3.30 .0281 1 0.92 3.12 .0282 1 0.92 3.33 .0283 3 0.92 3.03 .0284 3 0.92 3.14 .0285 2 0.92 3.28 .0286 2 0.92 3.23 .0287 2 0.92 3.78 .0288 2 0.92 3.83 .0289 4 0.92 3.35 .0290 3 0.92 3.58 .0291 3 0.92 3.29 .0292 3 0.92 3.36 .0293 3 0.92 3.38 .0294 3 0.92 3.44 .0295 3 0.92 3.45 .0296 3 0.92 3.59 .0297 3 0.92 3.95 .0298 3 0.92 3.60 .0299 3 0.92 3.51 .0300 4 0.92 3.75 .0301 2 0.92 3.48 .0302 3 0.92 3.43 .0303 1 0.92 3.48 .0304 1 0.92 3.59 .0305 2 0.92 3.47 .0306 1 0.92 3.62 .0307 3 0.92 3.49 .0308 3 0.92 3.59 .0309 1 0.92 3.46 .0310 2 0.92 3.87 .0311 2 0.92 3.48 .0312 1 0.92 3.49 .0313 1 0.92 3.83 .0314 2 0.92 3.50 .0315 2 0.92 3.51 .0316 1 0.92 3.71 .0317 1 0.92 3.55 .0318 1 0.92 3.52 .0319 1 0.92 3.54 .0320 1 0.92 3.64 .0321 1 0.92 3.48 .0322 1 0.92 3.62 .0323 1 0.92 3.62 .0324 2 0.92 3.57 .0325 2 0.92 3.51 .0326 1 0.92 3.53 .0327 3 0.92 3.61 .0328 2 0.92 3.66 .0329 2 0.92 3.59 .0330 3 0.92 3.59 .0331 1 0.92 3.73 .0332 2 0.92 3.48 .0333 1 0.92 3.40 .0334 1 0.92 3.47 .0335 1 0.92 3.55 .0336 2 0.92 3.72 .0337 2 0.92 3.49 .0338 2 0.92 3.67 .0339 2 0.92 3.78 .0340 1 0.92 3.99 .0341 2 0.92 3.83 .0342 2 0.92 3.78 .0343 1 0.92 3.92 .0344 1 0.92 4.26 .0345 2 0.92 4.00 .0346 2 0.92 3.85 .0347 2 0.92 3.72 .0348 1 0.92 3.70 .0349 1 0.92 3.95 .0350 1 0.92 3.76 .0351 1 0.92 3.87 .0352 1 0.92 3.81 .0353 2 0.92 3.88 .0354 1 0.92 3.86 .0355 1 0.92 3.96 .0356 1 0.92 3.88 .0357 1 0.92 3.99 .0358 3 0.92 4.05 .0359 3 0.92 3.91 .0360 1 0.92 3.96 .0361 1 0.92 3.92 .0362 1 0.92 3.98 .0363 1 0.92 3.96 .0364 1 0.92 3.83 .0365 1 0.92 3.68 .0366 2 0.92 3.88 .0367 1 0.92 3.83 .0368 1 0.92 3.64 .0369 2 0.92 3.71 .0370 3 0.92 3.70 .0371 1 0.92 3.79 .0372 2 0.92 3.86 .0373 2 0.92 3.82 .0374 1 0.92 3.96 .0375 3 0.92 3.84 .0376 2 0.92 3.80 .0377 1 0.92 3.88 .0378 2 0.92 3.87 .0379 2 0.92 3.79 .0380 1 0.92 3.81 .0381 2 0.92 3.75 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0.93 3.95 .0438 3 0.93 3.99 .0439 2 0.93 3.90 .0440 1 0.93 4.09 .0441 1 0.93 4.01 .0442 1 0.93 4.02 .0443 1 0.93 4.02 .0444 2 0.93 3.85 .0445 1 0.93 4.03 .0446 2 0.93 3.98 .0447 1 0.93 4.09 .0448 1 0.93 3.84 .0449 1 0.93 4.00 .0450 1 0.93 3.92 .0451 2 0.93 4.05 .0452 1 0.93 3.98 .0453 1 0.93 3.95 .0454 1 0.93 4.24 .0455 2 0.93 3.94 .0456 2 0.93 4.00 .0457 1 0.93 4.14 .0458 1 0.93 3.82 .0459 1 0.93 3.79 .0460 1 0.93 3.93 .0461 3 0.93 4.11 .0462 1 0.93 4.02 .0463 1 0.93 3.86 .0464 1 0.93 3.90 .0465 1 0.93 3.95 .0466 2 0.93 3.97 .0467 1 0.93 4.36 .0468 2 0.93 4.11 .0469 1 0.93 3.82 .0470 3 0.93 3.86 .0471 2 0.93 4.24 .0472 1 0.93 3.89 .0473 3 0.93 3.84 .0474 2 0.93 4.08 .0475 1 0.93 4.01 .0476 1 0.93 4.03 .0477 1 0.93 4.09 .0478 1 0.93 4.11 .0479 2 0.93 4.06 .0480 2 0.93 4.18 .0481 1 0.93 4.06 .0482 1 0.93 4.02 .0483 1 0.93 3.93 .0484 1 0.93 4.27 .0485 2 0.93 4.11 .0486 1 0.93 4.03 .0487 3 0.93 4.00 .0488 2 0.93 4.04 .0489 1 0.93 3.99 .0490 1 0.93 3.89 .0491 1 0.93 3.90 .0492 3 0.93 4.04 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0.92 3.86 .1881 2 0.92 3.60 .1882 1 0.92 3.50 .1883 1 0.92 3.37 .1884 3 0.92 3.19 .1885 1 0.92 3.29 .1886 2 0.92 3.18 .1887 1 0.92 2.92 .1888 4 0.92 3.12 .1889 2 0.92 2.94 .1890 1 0.92 2.95 .1891 3 0.92 3.25 .1892 3 0.92 2.95 .1893 2 0.92 3.03 .1894 1 0.92 3.12 .1895 3 0.92 3.38 .1896 2 0.92 3.13 .1897 1 0.92 2.99 .1898 2 0.92 3.14 .1899 3 0.92 3.13 .1900 3 0.92 3.09 .1901 2 0.92 3.19 .1902 3 0.92 3.35 .1903 2 0.92 3.23 .1904 1 0.92 3.01 .1905 2 0.92 3.13 .1906 3 0.92 3.22 .1907 2 0.92 3.34 .1908 1 0.92 3.47 .1909 1 0.92 3.36 .1910 1 0.92 3.36 .1911 2 0.92 3.48 .1912 3 0.92 3.59 .1913 1 0.92 3.62 .1914 2 0.92 3.97 .1915 2 0.92 4.03 .1916 1 0.92 3.88 .1917 3 0.92 4.06 .1918 3 0.92 3.84 .1919 2 0.92 3.40 .1920 1 0.92 3.76 .1921 1 0.92 3.47 .1922 1 0.92 3.44 .1923 2 0.92 3.54 .1924 2 0.92 3.57 .1925 1 0.92 3.36 .1926 2 0.92 3.43 .1927 2 0.92 3.61 .1928 2 0.92 3.38 .1929 1 0.92 3.52 .1930 1 0.92 3.44 .1931 1 0.92 3.79 .1932 3 0.92 3.81 .1933 2 0.92 3.84 .1934 1 0.92 3.80 .1935 2 0.92 3.68 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0.93 3.59 .1992 3 0.93 3.63 .1993 4 0.93 3.83 .1994 3 0.93 3.61 .1995 2 0.93 3.64 .1996 1 0.93 3.48 .1997 1 0.93 3.54 .1998 1 0.93 3.61 .1999 1 0.93 3.63 .2000 1 0.93 3.54 .2001 1 0.93 3.56 .2002 1 0.93 3.71 .2003 2 0.93 3.47 .2004 2 0.93 4.11 .2005 1 0.93 4.08 .2006 1 0.93 3.57 .2007 1 0.93 3.60 .2008 1 0.93 3.41 .2009 1 0.93 3.57 .2010 1 0.93 3.60 .2011 1 0.93 3.40 .2012 1 0.93 3.50 .2013 1 0.93 3.27 .2014 1 0.93 3.32 .2015 3 0.93 3.06 .2016 1 0.93 3.16 .2017 1 0.93 2.99 .2018 1 0.93 2.84 .2019 1 0.93 2.83 .2020 1 0.93 2.87 .2021 1 0.93 2.74 .2022 1 0.93 2.64 .2023 1 0.93 2.67 .2024 1 0.93 2.64 .2025 3 0.93 2.74 .2026 1 0.93 2.81 .2027 1 0.93 2.74 .2028 2 0.93 2.71 .2029 1 0.93 2.78 .2030 1 0.93 2.62 .2031 1 0.93 2.68 .2032 2 0.93 2.58 .2033 1 0.93 2.63 .2034 2 0.93 2.87 .2035 1 0.93 2.62 .2036 1 0.93 2.66 .2037 3 0.93 2.70 .2038 1 0.93 2.79 .2039 1 0.93 2.67 .2040 2 0.94 2.55 .2041 2 0.94 2.84 .2042 2 0.94 3.19 .2043 1 0.94 2.73 .2044 1 0.94 2.70 .2045 1 0.94 2.70 .2046 1 0.94 2.75 .2047 1 0.94 2.82 EXTRACT_IMAGE: sdR-b2-00034755.fit: masked 1923 pixels EXTRACT_OBJECT: sdR-b2-00034755.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034755.fit: WARNING: Scattered light median = 80.5976 electrons QAPLOT_SCATLIGHT: sdR-b2-00034755.fit: WARNING: Scattered light max = 145.218 electrons EXTRACT_OBJECT: sdR-b2-00034755.fit: Step 3: Calculate halo image DOSCATTER: sdR-b2-00034755.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-b2-00034755.fit: Selecting op file scattering-b2-00000.fits MRDFITS: Image array (5,2048) Type=Real*4 DOSCATTER: sdR-b2-00034755.fit: adding rows: 32 Step 2 of 2080 0.62 32 0.01 0.06 Step 6 of 2080 0.62 32 0.01 0.06 Step 10 of 2080 0.62 32 0.01 0.05 Step 14 of 2080 0.62 64 0.02 0.11 Step 18 of 2080 0.61 64 0.03 0.12 Step 22 of 2080 0.61 64 0.02 0.11 Step 26 of 2080 0.61 64 0.02 0.11 Step 30 of 2080 0.61 64 0.02 0.11 Step 34 of 2080 0.61 64 0.02 0.12 Step 38 of 2080 0.61 64 0.02 0.12 Step 42 of 2080 0.61 64 0.03 0.12 Step 46 of 2080 0.61 64 0.03 0.12 Step 50 of 2080 0.61 64 0.02 0.11 Step 54 of 2080 0.61 64 0.02 0.11 Step 58 of 2080 0.61 64 0.02 0.14 Step 62 of 2080 0.61 64 0.02 0.12 Step 66 of 2080 0.61 64 0.02 0.12 Step 70 of 2080 0.61 64 0.02 0.13 Step 74 of 2080 0.61 64 0.02 0.11 Step 78 of 2080 0.61 64 0.02 0.11 Step 82 of 2080 0.61 64 0.02 0.12 Step 86 of 2080 0.61 64 0.02 0.11 Step 90 of 2080 0.61 64 0.02 0.12 Step 94 of 2080 0.61 64 0.02 0.10 Step 98 of 2080 0.60 64 0.02 0.11 Step 102 of 2080 0.60 64 0.03 0.12 Step 106 of 2080 0.60 64 0.02 0.12 Step 110 of 2080 0.60 64 0.02 0.11 Step 114 of 2080 0.60 64 0.02 0.10 Step 118 of 2080 0.60 64 0.03 0.11 Step 122 of 2080 0.60 64 0.03 0.11 Step 126 of 2080 0.60 64 0.04 0.13 Step 130 of 2080 0.60 64 0.04 0.14 Step 134 of 2080 0.60 64 0.02 0.12 Step 138 of 2080 0.60 64 0.02 0.12 Step 142 of 2080 0.60 64 0.02 0.11 Step 146 of 2080 0.60 64 0.02 0.12 Step 150 of 2080 0.60 64 0.02 0.12 Step 154 of 2080 0.60 64 0.02 0.12 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0.03 0.13 Step 1402 of 2080 0.45 64 0.03 0.11 Step 1406 of 2080 0.45 64 0.03 0.11 Step 1410 of 2080 0.45 64 0.03 0.12 Step 1414 of 2080 0.45 64 0.03 0.11 Step 1418 of 2080 0.45 64 0.03 0.13 Step 1422 of 2080 0.45 64 0.03 0.13 Step 1426 of 2080 0.45 64 0.03 0.14 Step 1430 of 2080 0.45 64 0.03 0.12 Step 1434 of 2080 0.45 64 0.03 0.12 Step 1438 of 2080 0.44 64 0.03 0.13 Step 1442 of 2080 0.44 64 0.03 0.12 Step 1446 of 2080 0.44 64 0.04 0.13 Step 1450 of 2080 0.44 64 0.03 0.12 Step 1454 of 2080 0.44 64 0.04 0.13 Step 1458 of 2080 0.44 64 0.03 0.12 Step 1462 of 2080 0.44 64 0.04 0.13 Step 1466 of 2080 0.44 64 0.03 0.11 Step 1470 of 2080 0.44 64 0.03 0.11 Step 1474 of 2080 0.44 64 0.03 0.11 Step 1478 of 2080 0.44 64 0.03 0.13 Step 1482 of 2080 0.44 64 0.03 0.12 Step 1486 of 2080 0.44 64 0.03 0.11 Step 1490 of 2080 0.44 64 0.03 0.12 Step 1494 of 2080 0.44 64 0.03 0.12 Step 1498 of 2080 0.44 64 0.03 0.12 Step 1502 of 2080 0.44 64 0.03 0.13 Step 1506 of 2080 0.44 64 0.03 0.14 Step 1510 of 2080 0.44 64 0.03 0.12 Step 1514 of 2080 0.44 64 0.03 0.12 Step 1518 of 2080 0.44 64 0.03 0.12 Step 1522 of 2080 0.44 64 0.04 0.12 Step 1526 of 2080 0.44 64 0.03 0.11 Step 1530 of 2080 0.43 64 0.03 0.12 Step 1534 of 2080 0.43 64 0.03 0.12 Step 1538 of 2080 0.43 64 0.04 0.13 Step 1542 of 2080 0.43 64 0.03 0.12 Step 1546 of 2080 0.43 64 0.03 0.13 Step 1550 of 2080 0.43 64 0.03 0.13 Step 1554 of 2080 0.43 64 0.03 0.13 Step 1558 of 2080 0.43 64 0.04 0.13 Step 1562 of 2080 0.43 64 0.04 0.14 Step 1566 of 2080 0.43 64 0.04 0.11 Step 1570 of 2080 0.43 64 0.03 0.12 Step 1574 of 2080 0.43 64 0.03 0.12 Step 1578 of 2080 0.43 64 0.03 0.12 Step 1582 of 2080 0.43 64 0.03 0.12 Step 1586 of 2080 0.43 64 0.03 0.13 Step 1590 of 2080 0.43 64 0.04 0.12 Step 1594 of 2080 0.43 64 0.04 0.12 Step 1598 of 2080 0.43 64 0.03 0.12 Step 1602 of 2080 0.43 64 0.03 0.12 Step 1606 of 2080 0.43 64 0.03 0.12 Step 1610 of 2080 0.43 64 0.03 0.14 Step 1614 of 2080 0.43 64 0.03 0.12 Step 1618 of 2080 0.43 64 0.04 0.13 Step 1622 of 2080 0.42 64 0.04 0.14 Step 1626 of 2080 0.42 64 0.03 0.12 Step 1630 of 2080 0.42 64 0.04 0.14 Step 1634 of 2080 0.42 64 0.03 0.12 Step 1638 of 2080 0.42 64 0.03 0.11 Step 1642 of 2080 0.42 64 0.03 0.12 Step 1646 of 2080 0.42 64 0.03 0.12 Step 1650 of 2080 0.42 64 0.03 0.12 Step 1654 of 2080 0.42 64 0.03 0.12 Step 1658 of 2080 0.42 64 0.03 0.11 Step 1662 of 2080 0.42 64 0.03 0.12 Step 1666 of 2080 0.42 64 0.03 0.12 Step 1670 of 2080 0.42 64 0.04 0.13 Step 1674 of 2080 0.42 64 0.03 0.12 Step 1678 of 2080 0.42 64 0.03 0.12 Step 1682 of 2080 0.42 64 0.03 0.12 Step 1686 of 2080 0.42 64 0.03 0.11 Step 1690 of 2080 0.42 64 0.03 0.13 Step 1694 of 2080 0.42 64 0.03 0.12 Step 1698 of 2080 0.42 64 0.03 0.13 Step 1702 of 2080 0.42 64 0.03 0.12 Step 1706 of 2080 0.42 64 0.04 0.13 Step 1710 of 2080 0.42 64 0.03 0.12 Step 1714 of 2080 0.42 64 0.03 0.12 Step 1718 of 2080 0.41 64 0.04 0.13 Step 1722 of 2080 0.41 64 0.03 0.12 Step 1726 of 2080 0.41 64 0.03 0.12 Step 1730 of 2080 0.41 64 0.03 0.12 Step 1734 of 2080 0.41 64 0.03 0.11 Step 1738 of 2080 0.41 64 0.03 0.11 Step 1742 of 2080 0.41 64 0.03 0.12 Step 1746 of 2080 0.41 64 0.03 0.11 Step 1750 of 2080 0.41 64 0.03 0.11 Step 1754 of 2080 0.41 64 0.04 0.12 Step 1758 of 2080 0.41 64 0.04 0.13 Step 1762 of 2080 0.41 64 0.04 0.12 Step 1766 of 2080 0.41 64 0.04 0.12 Step 1770 of 2080 0.41 64 0.04 0.13 Step 1774 of 2080 0.41 64 0.04 0.12 Step 1778 of 2080 0.41 64 0.03 0.12 Step 1782 of 2080 0.41 64 0.04 0.13 Step 1786 of 2080 0.41 64 0.04 0.13 Step 1790 of 2080 0.41 64 0.03 0.12 Step 1794 of 2080 0.41 64 0.03 0.11 Step 1798 of 2080 0.41 64 0.03 0.11 Step 1802 of 2080 0.41 64 0.04 0.12 Step 1806 of 2080 0.41 64 0.04 0.12 Step 1810 of 2080 0.41 64 0.03 0.12 Step 1814 of 2080 0.40 64 0.03 0.11 Step 1818 of 2080 0.40 64 0.03 0.12 Step 1822 of 2080 0.40 64 0.03 0.12 Step 1826 of 2080 0.40 64 0.04 0.12 Step 1830 of 2080 0.40 64 0.03 0.12 Step 1834 of 2080 0.40 64 0.03 0.12 Step 1838 of 2080 0.40 64 0.03 0.12 Step 1842 of 2080 0.40 64 0.03 0.12 Step 1846 of 2080 0.40 64 0.03 0.11 Step 1850 of 2080 0.40 64 0.03 0.11 Step 1854 of 2080 0.40 64 0.02 0.11 Step 1858 of 2080 0.40 64 0.03 0.11 Step 1862 of 2080 0.40 64 0.03 0.12 Step 1866 of 2080 0.40 64 0.03 0.11 Step 1870 of 2080 0.40 64 0.03 0.12 Step 1874 of 2080 0.40 64 0.02 0.11 Step 1878 of 2080 0.40 64 0.03 0.12 Step 1882 of 2080 0.40 64 0.03 0.11 Step 1886 of 2080 0.40 64 0.03 0.11 Step 1890 of 2080 0.40 64 0.03 0.11 Step 1894 of 2080 0.40 64 0.03 0.11 Step 1898 of 2080 0.40 64 0.03 0.12 Step 1902 of 2080 0.40 64 0.03 0.11 Step 1906 of 2080 0.40 64 0.03 0.11 Step 1910 of 2080 0.39 64 0.02 0.11 Step 1914 of 2080 0.39 64 0.02 0.11 Step 1918 of 2080 0.39 64 0.03 0.11 Step 1922 of 2080 0.39 64 0.03 0.12 Step 1926 of 2080 0.39 64 0.03 0.11 Step 1930 of 2080 0.39 64 0.03 0.12 Step 1934 of 2080 0.39 64 0.03 0.11 Step 1938 of 2080 0.39 64 0.03 0.13 Step 1942 of 2080 0.39 64 0.03 0.12 Step 1946 of 2080 0.39 64 0.03 0.12 Step 1950 of 2080 0.39 64 0.03 0.12 Step 1954 of 2080 0.39 64 0.03 0.12 Step 1958 of 2080 0.39 64 0.03 0.12 Step 1962 of 2080 0.39 64 0.03 0.11 Step 1966 of 2080 0.39 64 0.03 0.11 Step 1970 of 2080 0.39 64 0.03 0.11 Step 1974 of 2080 0.39 64 0.03 0.11 Step 1978 of 2080 0.39 64 0.03 0.12 Step 1982 of 2080 0.39 64 0.03 0.11 Step 1986 of 2080 0.39 64 0.03 0.12 Step 1990 of 2080 0.39 64 0.03 0.11 Step 1994 of 2080 0.39 64 0.03 0.11 Step 1998 of 2080 0.39 64 0.03 0.12 Step 2002 of 2080 0.39 64 0.04 0.12 Step 2006 of 2080 0.39 64 0.03 0.11 Step 2010 of 2080 0.38 64 0.03 0.12 Step 2014 of 2080 0.38 64 0.03 0.12 Step 2018 of 2080 0.38 64 0.03 0.11 Step 2022 of 2080 0.38 64 0.03 0.11 Step 2026 of 2080 0.38 64 0.03 0.12 Step 2030 of 2080 0.38 64 0.03 0.11 Step 2034 of 2080 0.38 64 0.03 0.12 Step 2038 of 2080 0.38 64 0.03 0.12 Step 2042 of 2080 0.38 64 0.03 0.12 Step 2046 of 2080 0.38 64 0.03 0.12 Step 2050 of 2080 0.38 64 0.03 0.12 Step 2054 of 2080 0.38 64 0.03 0.12 Step 2058 of 2080 0.38 64 0.03 0.12 Step 2062 of 2080 0.38 64 0.03 0.11 Step 2066 of 2080 0.38 64 0.03 0.13 Step 2070 of 2080 0.38 64 0.03 0.12 Step 2074 of 2080 0.38 64 0.03 0.12 Step 2078 of 2080 0.38 64 0.02 0.12 EXTRACT_OBJECT: sdR-b2-00034755.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 2 0.91 2.31 .0001 1 0.91 2.64 .0002 1 0.91 2.86 .0003 1 0.91 3.22 .0004 1 0.91 3.18 .0005 1 0.91 3.27 .0006 1 0.91 2.93 .0007 1 0.91 2.85 .0008 2 0.91 2.78 .0009 2 0.91 3.20 .0010 3 0.91 3.21 .0011 3 0.91 3.05 .0012 1 0.91 2.70 .0013 1 0.91 2.63 .0014 2 0.91 2.47 .0015 1 0.91 2.54 .0016 1 0.91 2.46 .0017 1 0.91 2.31 .0018 1 0.91 2.16 .0019 1 0.91 2.12 .0020 1 0.91 2.12 .0021 1 0.91 2.10 .0022 1 0.91 2.07 .0023 2 0.91 1.99 .0024 1 0.91 2.09 .0025 1 0.91 1.87 .0026 1 0.91 1.80 .0027 2 0.91 1.86 .0028 3 0.91 1.76 .0029 2 0.91 1.88 .0030 4 0.91 1.67 .0031 3 0.91 1.96 .0032 2 0.91 1.60 .0033 2 0.91 1.50 .0034 1 0.91 1.65 .0035 1 0.91 1.51 .0036 2 0.91 1.52 .0037 1 0.91 1.51 .0038 1 0.91 1.52 .0039 3 0.91 1.38 .0040 2 0.91 1.47 .0041 1 0.91 1.46 .0042 1 0.91 1.40 .0043 1 0.91 1.26 .0044 1 0.91 1.32 .0045 1 0.91 1.36 .0046 2 0.91 1.37 .0047 1 0.91 1.40 .0048 1 0.91 1.37 .0049 1 0.91 1.28 .0050 1 0.91 1.38 .0051 3 0.91 1.34 .0052 2 0.91 1.41 .0053 2 0.91 1.36 .0054 2 0.91 1.38 .0055 1 0.91 1.39 .0056 3 0.91 1.45 .0057 1 0.91 1.34 .0058 1 0.91 1.52 .0059 2 0.91 1.52 .0060 3 0.91 1.50 .0061 3 0.91 1.44 .0062 1 0.91 1.50 .0063 2 0.91 1.39 .0064 2 0.91 1.56 .0065 2 0.91 1.70 .0066 3 0.91 1.60 .0067 1 0.91 1.68 .0068 2 0.91 1.81 .0069 3 0.91 1.56 .0070 1 0.91 1.73 .0071 1 0.91 1.71 .0072 1 0.91 1.66 .0073 1 0.91 1.81 .0074 1 0.91 1.82 .0075 1 0.91 1.93 .0076 1 0.91 1.73 .0077 2 0.91 1.85 .0078 1 0.91 1.70 .0079 3 0.91 2.08 .0080 3 0.91 2.14 .0081 2 0.91 2.09 .0082 2 0.91 2.01 .0083 4 0.91 1.90 .0084 3 0.91 2.00 .0085 1 0.91 2.08 .0086 1 0.91 2.02 .0087 1 0.91 2.00 .0088 2 0.91 2.14 .0089 3 0.91 2.17 .0090 3 0.91 2.09 .0091 2 0.91 2.06 .0092 1 0.91 2.08 .0093 3 0.91 2.02 .0094 4 0.91 2.21 .0095 3 0.91 2.00 .0096 1 0.91 2.10 .0097 2 0.91 2.15 .0098 2 0.91 2.20 .0099 2 0.91 2.04 .0100 1 0.91 2.15 .0101 1 0.91 2.15 .0102 1 0.91 2.20 .0103 1 0.91 2.34 .0104 1 0.91 2.14 .0105 4 0.91 2.15 .0106 4 0.91 2.15 .0107 1 0.91 2.25 .0108 3 0.91 2.39 .0109 2 0.91 2.34 .0110 2 0.91 2.19 .0111 2 0.91 2.27 .0112 2 0.91 2.30 .0113 2 0.91 2.29 .0114 1 0.91 2.15 .0115 1 0.91 2.24 .0116 1 0.91 2.29 .0117 3 0.91 2.31 .0118 1 0.91 2.35 .0119 2 0.91 2.18 .0120 1 0.91 2.25 .0121 2 0.91 2.35 .0122 2 0.91 2.45 .0123 1 0.91 2.43 .0124 1 0.91 2.50 .0125 1 0.91 2.31 .0126 1 0.91 2.39 .0127 1 0.91 2.23 .0128 1 0.91 2.24 .0129 2 0.91 2.26 .0130 2 0.91 2.44 .0131 1 0.91 2.27 .0132 2 0.91 2.33 .0133 4 0.91 2.40 .0134 3 0.91 2.25 .0135 2 0.91 2.24 .0136 2 0.91 2.36 .0137 1 0.91 2.33 .0138 2 0.91 2.30 .0139 3 0.91 2.60 .0140 1 0.91 2.23 .0141 1 0.91 2.18 .0142 1 0.91 2.25 .0143 2 0.91 2.42 .0144 1 0.91 2.28 .0145 1 0.91 2.26 .0146 2 0.91 2.28 .0147 2 0.91 2.25 .0148 1 0.91 2.22 .0149 1 0.91 2.17 .0150 1 0.91 2.25 .0151 2 0.91 2.20 .0152 2 0.91 2.27 .0153 3 0.91 2.53 .0154 3 0.91 2.28 .0155 1 0.91 2.22 .0156 1 0.91 2.27 .0157 1 0.91 2.26 .0158 1 0.91 2.26 .0159 1 0.91 2.25 .0160 3 0.91 2.25 .0161 2 0.91 2.11 .0162 1 0.91 2.37 .0163 2 0.91 2.34 .0164 3 0.91 2.43 .0165 2 0.91 2.37 .0166 1 0.91 2.46 .0167 2 0.91 2.28 .0168 3 0.92 2.32 .0169 1 0.92 2.16 .0170 1 0.92 2.09 .0171 1 0.92 2.34 .0172 1 0.92 2.22 .0173 1 0.92 2.16 .0174 2 0.92 2.35 .0175 1 0.92 2.36 .0176 1 0.92 2.31 .0177 1 0.92 2.22 .0178 5 0.92 2.12 .0179 3 0.92 2.24 .0180 3 0.92 2.39 .0181 1 0.92 2.26 .0182 1 0.92 2.29 .0183 1 0.92 2.23 .0184 2 0.92 2.45 .0185 1 0.92 2.30 .0186 2 0.92 2.46 .0187 2 0.92 2.31 .0188 1 0.92 2.26 .0189 1 0.92 2.38 .0190 1 0.92 2.20 .0191 1 0.92 2.33 .0192 1 0.92 2.30 .0193 1 0.92 2.35 .0194 2 0.92 2.47 .0195 2 0.92 2.31 .0196 1 0.92 2.37 .0197 1 0.92 2.24 .0198 1 0.92 2.31 .0199 1 0.92 2.29 .0200 1 0.92 2.26 .0201 2 0.92 2.36 .0202 2 0.92 2.29 .0203 1 0.92 2.23 .0204 2 0.92 2.33 .0205 3 0.92 2.30 .0206 2 0.92 2.26 .0207 1 0.92 2.42 .0208 1 0.92 2.26 .0209 3 0.92 2.48 .0210 2 0.92 2.42 .0211 1 0.92 2.38 .0212 1 0.92 2.28 .0213 2 0.92 2.26 .0214 2 0.92 2.47 .0215 3 0.92 2.26 .0216 3 0.92 2.26 .0217 2 0.92 2.27 .0218 2 0.92 2.26 .0219 2 0.92 2.43 .0220 2 0.92 2.28 .0221 2 0.92 2.44 .0222 2 0.92 2.13 .0223 1 0.92 2.10 .0224 1 0.92 2.14 .0225 2 0.92 2.11 .0226 2 0.92 2.45 .0227 2 0.92 2.44 .0228 1 0.92 2.28 .0229 1 0.92 2.33 .0230 1 0.92 2.42 .0231 1 0.92 2.26 .0232 1 0.92 2.30 .0233 1 0.92 2.36 .0234 1 0.92 2.51 .0235 3 0.92 2.59 .0236 1 0.92 2.37 .0237 1 0.92 2.41 .0238 1 0.92 2.45 .0239 3 0.92 2.38 .0240 2 0.92 2.49 .0241 1 0.92 2.54 .0242 1 0.92 2.53 .0243 1 0.92 2.40 .0244 1 0.92 2.38 .0245 2 0.92 2.55 .0246 3 0.92 2.36 .0247 1 0.92 2.33 .0248 1 0.92 2.40 .0249 1 0.92 2.49 .0250 3 0.92 2.51 .0251 2 0.92 2.42 .0252 1 0.92 2.36 .0253 1 0.92 2.53 .0254 2 0.92 2.44 .0255 2 0.92 2.52 .0256 3 0.92 2.51 .0257 2 0.92 2.67 .0258 2 0.92 2.59 .0259 2 0.92 2.83 .0260 3 0.92 2.52 .0261 5 0.92 2.72 .0262 2 0.92 2.57 .0263 2 0.92 2.75 .0264 1 0.92 2.70 .0265 1 0.92 2.65 .0266 3 0.92 2.66 .0267 2 0.92 2.58 .0268 2 0.92 2.50 .0269 2 0.92 2.60 .0270 2 0.92 2.55 .0271 1 0.92 2.75 .0272 3 0.92 2.80 .0273 2 0.92 2.75 .0274 1 0.92 2.65 .0275 3 0.92 2.83 .0276 3 0.92 2.88 .0277 1 0.92 3.03 .0278 4 0.92 2.90 .0279 4 0.92 3.14 .0280 2 0.92 2.96 .0281 1 0.92 2.77 .0282 1 0.92 2.97 .0283 3 0.92 2.70 .0284 3 0.92 2.79 .0285 2 0.92 2.86 .0286 2 0.92 2.85 .0287 3 0.92 2.99 .0288 3 0.92 3.27 .0289 4 0.92 2.95 .0290 5 0.92 2.85 .0291 3 0.92 2.92 .0292 3 0.92 2.97 .0293 3 0.92 3.01 .0294 4 0.92 2.87 .0295 4 0.92 2.87 .0296 3 0.92 3.19 .0297 4 0.92 3.23 .0298 3 0.92 3.15 .0299 3 0.92 3.11 .0300 3 0.92 3.35 .0301 2 0.92 3.16 .0302 3 0.92 3.02 .0303 1 0.92 3.06 .0304 1 0.92 3.13 .0305 2 0.92 3.07 .0306 1 0.92 3.21 .0307 3 0.92 3.12 .0308 3 0.92 3.17 .0309 1 0.92 3.07 .0310 2 0.92 3.45 .0311 2 0.92 3.12 .0312 1 0.92 3.05 .0313 1 0.92 3.40 .0314 2 0.92 3.09 .0315 2 0.92 3.06 .0316 2 0.92 3.02 .0317 1 0.92 3.15 .0318 1 0.92 3.10 .0319 1 0.92 3.12 .0320 1 0.92 3.23 .0321 1 0.92 3.05 .0322 1 0.92 3.19 .0323 1 0.92 3.18 .0324 2 0.92 3.13 .0325 2 0.92 3.13 .0326 1 0.92 3.09 .0327 3 0.92 3.15 .0328 2 0.92 3.19 .0329 2 0.92 3.14 .0330 3 0.92 3.19 .0331 1 0.92 3.28 .0332 2 0.92 3.06 .0333 1 0.92 2.99 .0334 1 0.92 3.06 .0335 1 0.92 3.09 .0336 2 0.92 3.27 .0337 2 0.92 3.06 .0338 2 0.92 3.23 .0339 2 0.92 3.33 .0340 1 0.92 3.59 .0341 2 0.92 3.35 .0342 2 0.92 3.35 .0343 1 0.92 3.41 .0344 2 0.92 3.50 .0345 2 0.92 3.57 .0346 2 0.92 3.42 .0347 2 0.92 3.32 .0348 1 0.92 3.28 .0349 1 0.92 3.44 .0350 1 0.92 3.28 .0351 1 0.92 3.37 .0352 1 0.92 3.31 .0353 3 0.92 3.26 .0354 1 0.92 3.36 .0355 1 0.92 3.44 .0356 1 0.92 3.46 .0357 1 0.92 3.56 .0358 3 0.92 3.60 .0359 3 0.92 3.47 .0360 1 0.92 3.51 .0361 1 0.92 3.44 .0362 1 0.92 3.48 .0363 1 0.92 3.48 .0364 1 0.92 3.33 .0365 1 0.92 3.24 .0366 2 0.92 3.39 .0367 1 0.92 3.30 .0368 1 0.92 3.20 .0369 2 0.92 3.24 .0370 3 0.92 3.27 .0371 1 0.92 3.30 .0372 2 0.92 3.36 .0373 2 0.92 3.33 .0374 1 0.92 3.46 .0375 3 0.92 3.35 .0376 2 0.92 3.36 .0377 1 0.92 3.37 .0378 2 0.92 3.38 .0379 2 0.92 3.29 .0380 1 0.92 3.36 .0381 2 0.92 3.29 .0382 3 0.92 3.41 .0383 2 0.92 3.30 .0384 1 0.92 3.42 .0385 4 0.92 3.29 .0386 2 0.92 3.43 .0387 1 0.92 3.50 .0388 1 0.92 3.41 .0389 1 0.92 3.31 .0390 1 0.92 3.24 .0391 2 0.92 3.26 .0392 1 0.92 3.48 .0393 2 0.92 3.42 .0394 1 0.92 3.39 .0395 2 0.92 3.58 .0396 2 0.92 3.63 .0397 1 0.92 3.43 .0398 2 0.92 3.46 .0399 2 0.92 3.41 .0400 1 0.92 3.79 .0401 1 0.92 3.57 .0402 2 0.92 3.36 .0403 1 0.92 3.48 .0404 1 0.92 3.57 .0405 1 0.92 3.30 .0406 2 0.93 3.11 .0407 2 0.93 3.39 .0408 1 0.93 3.29 .0409 1 0.93 3.22 .0410 1 0.93 3.26 .0411 1 0.93 3.36 .0412 1 0.93 3.50 .0413 2 0.93 3.29 .0414 1 0.93 3.31 .0415 1 0.93 3.26 .0416 3 0.93 3.51 .0417 2 0.93 3.33 .0418 2 0.93 3.77 .0419 1 0.93 3.49 .0420 1 0.93 3.42 .0421 1 0.93 3.34 .0422 2 0.93 3.38 .0423 2 0.93 3.30 .0424 2 0.93 3.38 .0425 2 0.93 3.44 .0426 1 0.93 3.39 .0427 2 0.93 3.37 .0428 1 0.93 3.30 .0429 2 0.93 3.25 .0430 1 0.93 3.40 .0431 3 0.93 3.41 .0432 2 0.93 3.58 .0433 1 0.93 3.36 .0434 1 0.93 3.50 .0435 1 0.93 3.47 .0436 2 0.93 3.51 .0437 1 0.93 3.40 .0438 3 0.93 3.42 .0439 2 0.93 3.32 .0440 1 0.93 3.56 .0441 1 0.93 3.47 .0442 1 0.93 3.46 .0443 1 0.93 3.46 .0444 2 0.93 3.35 .0445 1 0.93 3.42 .0446 2 0.93 3.48 .0447 1 0.93 3.55 .0448 1 0.93 3.33 .0449 1 0.93 3.42 .0450 1 0.93 3.37 .0451 2 0.93 3.47 .0452 1 0.93 3.43 .0453 1 0.93 3.43 .0454 1 0.93 3.68 .0455 2 0.93 3.38 .0456 2 0.93 3.40 .0457 1 0.93 3.57 .0458 1 0.93 3.30 .0459 1 0.93 3.26 .0460 1 0.93 3.37 .0461 3 0.93 3.53 .0462 1 0.93 3.50 .0463 1 0.93 3.34 .0464 1 0.93 3.31 .0465 1 0.93 3.42 .0466 2 0.93 3.44 .0467 1 0.93 3.84 .0468 3 0.93 3.35 .0469 1 0.93 3.30 .0470 3 0.93 3.33 .0471 2 0.93 3.69 .0472 1 0.93 3.31 .0473 2 0.93 3.37 .0474 2 0.93 3.47 .0475 1 0.93 3.47 .0476 1 0.93 3.54 .0477 1 0.93 3.57 .0478 1 0.93 3.58 .0479 2 0.93 3.52 .0480 2 0.93 3.64 .0481 1 0.93 3.50 .0482 1 0.93 3.50 .0483 1 0.93 3.41 .0484 1 0.93 3.72 .0485 3 0.93 3.35 .0486 1 0.93 3.49 .0487 3 0.93 3.44 .0488 2 0.93 3.45 .0489 1 0.93 3.51 .0490 1 0.93 3.31 .0491 1 0.93 3.30 .0492 3 0.93 3.47 .0493 1 0.93 3.60 .0494 3 0.93 3.24 .0495 1 0.93 3.31 .0496 3 0.93 3.35 .0497 2 0.93 3.46 .0498 2 0.93 3.59 .0499 2 0.93 3.37 .0500 2 0.93 3.46 .0501 3 0.93 3.53 .0502 2 0.93 3.34 .0503 1 0.93 3.20 .0504 2 0.93 3.27 .0505 2 0.93 3.28 .0506 1 0.93 3.38 .0507 2 0.93 3.43 .0508 2 0.93 3.55 .0509 2 0.93 3.41 .0510 2 0.93 3.28 .0511 1 0.93 3.23 .0512 1 0.93 3.56 .0513 1 0.93 3.28 .0514 2 0.93 3.18 .0515 3 0.93 3.21 .0516 1 0.93 3.12 .0517 3 0.93 3.27 .0518 1 0.93 3.29 .0519 2 0.93 3.24 .0520 3 0.93 3.35 .0521 2 0.93 3.34 .0522 2 0.93 3.67 .0523 1 0.93 3.56 .0524 2 0.93 3.70 .0525 2 0.93 3.39 .0526 1 0.93 3.49 .0527 1 0.93 3.54 .0528 1 0.93 3.46 .0529 1 0.93 3.27 .0530 1 0.93 3.34 .0531 1 0.93 3.44 .0532 1 0.93 3.28 .0533 2 0.93 3.19 .0534 1 0.93 3.26 .0535 1 0.93 3.19 .0536 1 0.93 3.33 .0537 1 0.93 3.33 .0538 1 0.93 3.41 .0539 1 0.93 3.24 .0540 1 0.93 3.20 .0541 2 0.93 3.19 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0.92 2.71 .1930 1 0.92 2.63 .1931 1 0.92 2.95 .1932 3 0.92 2.98 .1933 2 0.92 2.99 .1934 1 0.92 2.97 .1935 2 0.92 2.86 .1936 1 0.92 2.81 .1937 2 0.92 3.12 .1938 2 0.92 3.13 .1939 3 0.92 2.78 .1940 2 0.92 2.80 .1941 2 0.92 2.84 .1942 2 0.92 2.85 .1943 3 0.92 2.91 .1944 2 0.92 3.20 .1945 2 0.92 2.99 .1946 2 0.92 3.07 .1947 2 0.92 3.32 .1948 2 0.92 2.97 .1949 1 0.92 3.13 .1950 1 0.92 2.96 .1951 4 0.92 2.93 .1952 4 0.92 3.11 .1953 2 0.92 3.18 .1954 3 0.92 2.89 .1955 2 0.92 2.98 .1956 3 0.92 3.01 .1957 3 0.92 2.94 .1958 2 0.92 2.95 .1959 2 0.92 2.90 .1960 1 0.92 2.84 .1961 1 0.92 2.66 .1962 3 0.92 2.64 .1963 3 0.92 2.79 .1964 3 0.92 2.77 .1965 2 0.92 2.67 .1966 2 0.92 2.92 .1967 3 0.93 2.76 .1968 2 0.93 2.56 .1969 6 0.93 2.54 .1970 4 0.93 2.59 .1971 2 0.93 2.41 .1972 1 0.93 2.39 .1973 3 0.93 2.38 .1974 3 0.93 2.29 .1975 2 0.93 2.50 .1976 1 0.93 2.49 .1977 1 0.93 2.46 .1978 1 0.93 2.31 .1979 3 0.93 2.38 .1980 3 0.93 2.46 .1981 3 0.93 2.33 .1982 1 0.93 2.59 .1983 1 0.93 2.47 .1984 1 0.93 2.46 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0.94 2.05 .2041 2 0.94 2.30 .2042 4 0.94 2.27 .2043 1 0.94 2.17 .2044 1 0.94 2.18 .2045 1 0.94 2.15 .2046 1 0.94 2.19 .2047 1 0.94 2.25 EXTRACT_IMAGE: sdR-b2-00034755.fit: masked 2110 pixels EXTRACT_OBJECT: sdR-b2-00034755.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-b2-00034755.fit: Scattered light median = 8.85154 electrons QAPLOT_SCATLIGHT: sdR-b2-00034755.fit: WARNING: Scattered light max = 81.5696 electrons EXTRACT_OBJECT: sdR-b2-00034755.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 2 0.91 4.83 .0001 1 0.91 3.60 .0002 2 0.91 3.31 .0003 2 0.91 3.69 .0004 2 0.91 3.72 .0005 2 0.91 3.78 .0006 2 0.91 3.42 .0007 2 0.91 3.36 .0008 2 0.91 3.22 .0009 3 0.91 3.68 .0010 4 0.91 3.65 .0011 4 0.91 3.45 .0012 2 0.91 3.11 .0013 1 0.91 3.19 .0014 4 0.91 2.79 .0015 2 0.91 3.04 .0016 2 0.91 2.85 .0017 2 0.91 2.60 .0018 2 0.91 2.49 .0019 2 0.91 2.46 .0020 1 0.91 2.42 .0021 3 0.91 2.30 .0022 2 0.91 2.29 .0023 2 0.91 2.27 .0024 2 0.91 2.26 .0025 1 0.91 2.02 .0026 2 0.91 1.98 .0027 2 0.91 1.99 .0028 4 0.91 1.91 .0029 3 0.91 1.88 .0030 3 0.91 1.72 .0031 3 0.91 1.83 .0032 4 0.91 1.61 .0033 2 0.91 1.66 .0034 2 0.91 1.65 .0035 1 0.91 1.61 .0036 3 0.91 1.55 .0037 2 0.91 1.53 .0038 2 0.91 1.59 .0039 3 0.91 1.43 .0040 3 0.91 1.56 .0041 2 0.91 1.50 .0042 1 0.91 1.47 .0043 1 0.91 1.36 .0044 1 0.91 1.41 .0045 2 0.91 1.43 .0046 2 0.91 1.50 .0047 1 0.91 1.50 .0048 1 0.91 1.47 .0049 1 0.91 1.38 .0050 1 0.91 1.46 .0051 3 0.91 1.41 .0052 2 0.91 1.49 .0053 2 0.91 1.47 .0054 2 0.91 1.43 .0055 2 0.91 1.37 .0056 3 0.91 1.53 .0057 1 0.91 1.41 .0058 2 0.91 1.48 .0059 2 0.91 1.57 .0060 4 0.91 1.51 .0061 3 0.91 1.49 .0062 1 0.91 1.58 .0063 2 0.91 1.48 .0064 2 0.91 1.67 .0065 2 0.91 1.73 .0066 3 0.91 1.64 .0067 1 0.91 1.80 .0068 2 0.91 1.83 .0069 3 0.91 1.70 .0070 3 0.91 1.77 .0071 1 0.91 1.80 .0072 1 0.91 1.76 .0073 1 0.91 1.91 .0074 1 0.91 1.92 .0075 1 0.91 2.01 .0076 1 0.91 1.89 .0077 2 0.91 1.98 .0078 2 0.91 1.83 .0079 3 0.91 2.17 .0080 4 0.91 2.13 .0081 2 0.91 2.16 .0082 2 0.91 2.15 .0083 4 0.91 2.05 .0084 4 0.91 2.07 .0085 1 0.91 2.18 .0086 1 0.91 2.19 .0087 1 0.91 2.17 .0088 2 0.91 2.25 .0089 3 0.91 2.28 .0090 4 0.91 2.24 .0091 2 0.91 2.19 .0092 1 0.91 2.25 .0093 3 0.91 2.22 .0094 3 0.91 2.34 .0095 3 0.91 2.15 .0096 1 0.91 2.26 .0097 2 0.91 2.29 .0098 3 0.91 2.37 .0099 2 0.91 2.20 .0100 2 0.91 2.30 .0101 1 0.91 2.32 .0102 1 0.91 2.36 .0103 1 0.91 2.45 .0104 1 0.91 2.30 .0105 4 0.91 2.31 .0106 4 0.91 2.27 .0107 1 0.91 2.37 .0108 4 0.91 2.43 .0109 2 0.91 2.45 .0110 2 0.91 2.33 .0111 3 0.91 2.42 .0112 2 0.91 2.37 .0113 2 0.91 2.38 .0114 1 0.91 2.35 .0115 1 0.91 2.36 .0116 1 0.91 2.43 .0117 4 0.91 2.34 .0118 1 0.91 2.40 .0119 2 0.91 2.35 .0120 1 0.91 2.33 .0121 2 0.91 2.38 .0122 3 0.91 2.39 .0123 2 0.91 2.42 .0124 2 0.91 2.43 .0125 2 0.91 2.31 .0126 2 0.91 2.35 .0127 1 0.91 2.36 .0128 1 0.91 2.33 .0129 2 0.91 2.44 .0130 2 0.91 2.55 .0131 2 0.91 2.38 .0132 2 0.91 2.45 .0133 4 0.91 2.37 .0134 3 0.91 2.41 .0135 2 0.91 2.39 .0136 3 0.91 2.44 .0137 1 0.91 2.48 .0138 2 0.91 2.42 .0139 4 0.91 2.34 .0140 1 0.91 2.34 .0141 2 0.91 2.28 .0142 2 0.91 2.37 .0143 2 0.91 2.47 .0144 1 0.91 2.31 .0145 2 0.91 2.34 .0146 3 0.91 2.37 .0147 2 0.91 2.48 .0148 2 0.91 2.40 .0149 1 0.91 2.31 .0150 1 0.91 2.37 .0151 2 0.91 2.35 .0152 3 0.91 2.32 .0153 3 0.91 2.43 .0154 2 0.91 2.44 .0155 1 0.91 2.36 .0156 2 0.91 2.26 .0157 1 0.91 2.39 .0158 1 0.91 2.42 .0159 1 0.91 2.39 .0160 3 0.91 2.36 .0161 3 0.91 2.16 .0162 2 0.91 2.38 .0163 3 0.91 2.34 .0164 2 0.91 2.53 .0165 3 0.91 2.47 .0166 3 0.91 2.32 .0167 2 0.91 2.29 .0168 3 0.92 2.43 .0169 1 0.92 2.25 .0170 1 0.92 2.28 .0171 1 0.92 2.42 .0172 2 0.92 2.34 .0173 1 0.92 2.29 .0174 2 0.92 2.38 .0175 1 0.92 2.42 .0176 1 0.92 2.46 .0177 2 0.92 2.32 .0178 5 0.92 2.28 .0179 3 0.92 2.39 .0180 4 0.92 2.41 .0181 1 0.92 2.37 .0182 1 0.92 2.47 .0183 1 0.92 2.38 .0184 2 0.92 2.54 .0185 3 0.92 2.48 .0186 2 0.92 2.46 .0187 3 0.92 2.37 .0188 1 0.92 2.40 .0189 2 0.92 2.29 .0190 2 0.92 2.30 .0191 1 0.92 2.50 .0192 2 0.92 2.39 .0193 2 0.92 2.43 .0194 2 0.92 2.59 .0195 2 0.92 2.44 .0196 2 0.92 2.47 .0197 1 0.92 2.41 .0198 1 0.92 2.46 .0199 2 0.92 2.41 .0200 1 0.92 2.49 .0201 3 0.92 2.42 .0202 2 0.92 2.42 .0203 2 0.92 2.37 .0204 2 0.92 2.44 .0205 3 0.92 2.41 .0206 3 0.92 2.41 .0207 2 0.92 2.50 .0208 1 0.92 2.37 .0209 4 0.92 2.56 .0210 2 0.92 2.59 .0211 2 0.92 2.49 .0212 1 0.92 2.47 .0213 2 0.92 2.48 .0214 3 0.92 2.43 .0215 3 0.92 2.43 .0216 4 0.92 2.38 .0217 4 0.92 2.44 .0218 2 0.92 2.51 .0219 2 0.92 2.51 .0220 2 0.92 2.45 .0221 3 0.92 2.51 .0222 2 0.92 2.32 .0223 1 0.92 2.34 .0224 1 0.92 2.39 .0225 3 0.92 2.21 .0226 3 0.92 2.46 .0227 2 0.92 2.58 .0228 2 0.92 2.44 .0229 1 0.92 2.46 .0230 1 0.92 2.58 .0231 1 0.92 2.39 .0232 1 0.92 2.43 .0233 1 0.92 2.50 .0234 1 0.92 2.66 .0235 3 0.92 2.65 .0236 2 0.92 2.49 .0237 2 0.92 2.57 .0238 1 0.92 2.58 .0239 3 0.92 2.54 .0240 3 0.92 2.53 .0241 1 0.92 2.72 .0242 1 0.92 2.69 .0243 1 0.92 2.53 .0244 1 0.92 2.51 .0245 2 0.92 2.68 .0246 3 0.92 2.49 .0247 1 0.92 2.49 .0248 1 0.92 2.54 .0249 2 0.92 2.57 .0250 4 0.92 2.65 .0251 2 0.92 2.58 .0252 1 0.92 2.47 .0253 2 0.92 2.56 .0254 2 0.92 2.62 .0255 2 0.92 2.63 .0256 3 0.92 2.60 .0257 3 0.92 2.63 .0258 2 0.92 2.70 .0259 2 0.92 2.71 .0260 3 0.92 2.55 .0261 5 0.92 2.64 .0262 2 0.92 2.76 .0263 2 0.92 2.92 .0264 2 0.92 2.64 .0265 1 0.92 2.74 .0266 3 0.92 2.74 .0267 3 0.92 2.67 .0268 2 0.92 2.63 .0269 3 0.92 2.70 .0270 2 0.92 2.62 .0271 1 0.92 2.80 .0272 3 0.92 2.87 .0273 3 0.92 2.79 .0274 1 0.92 2.74 .0275 3 0.92 2.80 .0276 2 0.92 2.95 .0277 2 0.92 2.94 .0278 3 0.92 2.94 .0279 4 0.92 3.03 .0280 2 0.92 2.96 .0281 1 0.92 2.88 .0282 2 0.92 2.91 .0283 3 0.92 2.77 .0284 3 0.92 2.88 .0285 2 0.92 2.93 .0286 2 0.92 2.93 .0287 4 0.92 3.10 .0288 3 0.92 3.17 .0289 3 0.92 2.99 .0290 3 0.92 2.85 .0291 3 0.92 2.94 .0292 3 0.92 3.03 .0293 4 0.92 2.96 .0294 3 0.92 2.90 .0295 3 0.92 2.95 .0296 3 0.92 3.18 .0297 3 0.92 3.20 .0298 3 0.92 3.08 .0299 3 0.92 3.15 .0300 4 0.92 3.14 .0301 2 0.92 3.04 .0302 3 0.92 3.01 .0303 1 0.92 3.08 .0304 1 0.92 3.16 .0305 2 0.92 3.13 .0306 2 0.92 3.15 .0307 4 0.92 3.01 .0308 3 0.92 3.23 .0309 1 0.92 3.15 .0310 2 0.92 3.38 .0311 2 0.92 3.09 .0312 1 0.92 3.17 .0313 1 0.92 3.41 .0314 2 0.92 3.19 .0315 2 0.92 3.10 .0316 2 0.92 3.14 .0317 1 0.92 3.18 .0318 1 0.92 3.21 .0319 1 0.92 3.24 .0320 2 0.92 3.25 .0321 1 0.92 3.17 .0322 2 0.92 3.19 .0323 2 0.92 3.24 .0324 2 0.92 3.18 .0325 3 0.92 3.07 .0326 1 0.92 3.15 .0327 2 0.92 3.14 .0328 2 0.92 3.27 .0329 2 0.92 3.22 .0330 3 0.92 3.20 .0331 2 0.92 3.23 .0332 2 0.92 3.12 .0333 1 0.92 3.05 .0334 2 0.92 3.10 .0335 1 0.92 3.17 .0336 2 0.92 3.31 .0337 2 0.92 3.11 .0338 2 0.92 3.33 .0339 2 0.92 3.42 .0340 2 0.92 3.45 .0341 3 0.92 3.33 .0342 2 0.92 3.44 .0343 2 0.92 3.36 .0344 2 0.92 3.47 .0345 3 0.92 3.48 .0346 2 0.92 3.46 .0347 2 0.92 3.36 .0348 1 0.92 3.41 .0349 1 0.92 3.45 .0350 2 0.92 3.28 .0351 2 0.92 3.40 .0352 1 0.92 3.37 .0353 3 0.92 3.24 .0354 1 0.92 3.45 .0355 1 0.92 3.51 .0356 1 0.92 3.46 .0357 2 0.92 3.54 .0358 4 0.92 3.55 .0359 4 0.92 3.38 .0360 1 0.92 3.54 .0361 1 0.92 3.47 .0362 2 0.92 3.38 .0363 1 0.92 3.46 .0364 1 0.92 3.41 .0365 1 0.92 3.27 .0366 2 0.92 3.41 .0367 1 0.92 3.37 .0368 1 0.92 3.24 .0369 2 0.92 3.25 .0370 3 0.92 3.30 .0371 1 0.92 3.28 .0372 2 0.92 3.42 .0373 2 0.92 3.40 .0374 2 0.92 3.36 .0375 3 0.92 3.34 .0376 2 0.92 3.43 .0377 1 0.92 3.30 .0378 2 0.92 3.45 .0379 2 0.92 3.33 .0380 1 0.92 3.35 .0381 2 0.92 3.32 .0382 3 0.92 3.35 .0383 2 0.92 3.30 .0384 1 0.92 3.37 .0385 4 0.92 3.37 .0386 2 0.92 3.40 .0387 1 0.92 3.55 .0388 2 0.92 3.32 .0389 1 0.92 3.30 .0390 1 0.92 3.30 .0391 2 0.92 3.25 .0392 1 0.92 3.49 .0393 2 0.92 3.42 .0394 1 0.92 3.45 .0395 3 0.92 3.55 .0396 3 0.92 3.53 .0397 1 0.92 3.45 .0398 2 0.92 3.44 .0399 2 0.92 3.39 .0400 1 0.92 3.73 .0401 3 0.92 3.62 .0402 3 0.92 3.34 .0403 2 0.92 3.41 .0404 1 0.92 3.66 .0405 1 0.92 3.31 .0406 2 0.93 3.24 .0407 3 0.93 3.43 .0408 1 0.93 3.25 .0409 1 0.93 3.29 .0410 1 0.93 3.30 .0411 1 0.93 3.40 .0412 2 0.93 3.16 .0413 3 0.93 3.34 .0414 1 0.93 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3.18 .1747 2 0.91 2.98 .1748 2 0.91 2.84 .1749 5 0.91 2.95 .1750 2 0.91 2.96 .1751 3 0.91 2.87 .1752 3 0.91 2.77 .1753 2 0.91 2.85 .1754 1 0.91 2.71 .1755 3 0.91 2.64 .1756 1 0.91 2.58 .1757 1 0.91 2.50 .1758 3 0.91 2.48 .1759 2 0.91 2.48 .1760 1 0.91 2.51 .1761 2 0.91 2.37 .1762 1 0.91 2.49 .1763 1 0.91 2.54 .1764 4 0.91 2.55 .1765 2 0.91 2.63 .1766 3 0.91 2.72 .1767 2 0.91 2.68 .1768 3 0.91 2.80 .1769 1 0.91 2.77 .1770 1 0.91 2.69 .1771 1 0.91 2.58 .1772 1 0.91 2.63 .1773 2 0.91 2.61 .1774 2 0.91 2.76 .1775 3 0.91 2.91 .1776 2 0.91 2.82 .1777 2 0.91 2.83 .1778 2 0.91 2.78 .1779 2 0.91 2.85 .1780 3 0.91 2.95 .1781 2 0.91 2.99 .1782 3 0.91 2.97 .1783 4 0.91 2.95 .1784 2 0.91 3.10 .1785 1 0.91 2.97 .1786 1 0.91 3.14 .1787 1 0.91 3.18 .1788 2 0.91 3.12 .1789 3 0.91 3.11 .1790 1 0.91 3.15 .1791 1 0.91 3.11 .1792 2 0.91 3.17 .1793 2 0.91 3.12 .1794 3 0.91 3.02 .1795 2 0.91 3.30 .1796 2 0.91 3.23 .1797 2 0.91 3.25 .1798 1 0.91 3.34 .1799 2 0.91 3.18 .1800 3 0.91 3.19 .1801 4 0.91 3.18 .1802 2 0.91 3.14 .1803 2 0.91 3.15 .1804 3 0.91 3.51 .1805 5 0.91 3.33 .1806 2 0.91 3.39 .1807 2 0.91 3.39 .1808 3 0.91 3.42 .1809 3 0.91 3.34 .1810 2 0.91 3.20 .1811 1 0.91 3.22 .1812 2 0.91 3.20 .1813 1 0.91 3.30 .1814 1 0.91 3.22 .1815 1 0.91 3.40 .1816 1 0.91 3.30 .1817 2 0.91 3.36 .1818 3 0.91 3.32 .1819 2 0.91 3.39 .1820 2 0.91 3.50 .1821 1 0.91 3.32 .1822 2 0.91 3.46 .1823 2 0.91 3.37 .1824 2 0.91 3.40 .1825 2 0.91 3.51 .1826 1 0.91 3.37 .1827 1 0.91 3.42 .1828 2 0.91 3.46 .1829 2 0.91 3.53 .1830 2 0.91 3.40 .1831 1 0.91 3.41 .1832 1 0.91 3.46 .1833 2 0.91 3.55 .1834 2 0.91 3.36 .1835 1 0.91 3.50 .1836 2 0.91 3.50 .1837 2 0.91 3.38 .1838 2 0.91 3.37 .1839 1 0.91 3.49 .1840 2 0.91 3.61 .1841 2 0.91 3.58 .1842 3 0.91 3.53 .1843 2 0.91 3.57 .1844 1 0.91 3.64 .1845 1 0.91 3.56 .1846 1 0.91 3.51 .1847 2 0.91 3.51 .1848 2 0.91 3.38 .1849 2 0.91 3.49 .1850 1 0.91 3.42 .1851 1 0.91 3.56 .1852 2 0.91 3.65 .1853 1 0.91 3.61 .1854 1 0.91 3.55 .1855 3 0.91 3.43 .1856 3 0.91 3.49 .1857 2 0.91 3.52 .1858 3 0.91 3.31 .1859 2 0.91 3.49 .1860 2 0.91 3.43 .1861 5 0.91 3.35 .1862 2 0.91 3.70 .1863 3 0.91 3.44 .1864 2 0.91 3.66 .1865 3 0.91 3.59 .1866 3 0.91 3.39 .1867 2 0.92 3.40 .1868 3 0.92 3.54 .1869 3 0.92 3.37 .1870 3 0.92 3.34 .1871 1 0.92 3.37 .1872 2 0.92 3.38 .1873 3 0.92 3.25 .1874 3 0.92 3.32 .1875 2 0.92 3.26 .1876 2 0.92 3.27 .1877 2 0.92 3.28 .1878 4 0.92 3.06 .1879 1 0.92 3.12 .1880 2 0.92 3.14 .1881 2 0.92 2.92 .1882 1 0.92 2.90 .1883 1 0.92 2.75 .1884 3 0.92 2.59 .1885 1 0.92 2.66 .1886 2 0.92 2.58 .1887 1 0.92 2.43 .1888 3 0.92 2.58 .1889 2 0.92 2.57 .1890 1 0.92 2.45 .1891 4 0.92 2.59 .1892 2 0.92 2.43 .1893 2 0.92 2.48 .1894 2 0.92 2.57 .1895 3 0.92 2.73 .1896 3 0.92 2.64 .1897 1 0.92 2.44 .1898 3 0.92 2.60 .1899 3 0.92 2.56 .1900 3 0.92 2.63 .1901 2 0.92 2.68 .1902 3 0.92 2.84 .1903 2 0.92 2.68 .1904 1 0.92 2.52 .1905 2 0.92 2.63 .1906 3 0.92 2.74 .1907 2 0.92 2.72 .1908 1 0.92 2.87 .1909 1 0.92 2.76 .1910 1 0.92 2.80 .1911 2 0.92 2.89 .1912 3 0.92 2.98 .1913 1 0.92 3.01 .1914 2 0.92 3.17 .1915 3 0.92 3.15 .1916 2 0.92 3.02 .1917 5 0.92 3.11 .1918 4 0.92 2.96 .1919 2 0.92 2.76 .1920 2 0.92 2.93 .1921 1 0.92 2.78 .1922 1 0.92 2.72 .1923 2 0.92 2.85 .1924 2 0.92 2.77 .1925 1 0.92 2.71 .1926 2 0.92 2.69 .1927 2 0.92 2.84 .1928 2 0.92 2.76 .1929 3 0.92 2.83 .1930 1 0.92 2.85 .1931 1 0.92 3.12 .1932 3 0.92 3.20 .1933 3 0.92 2.91 .1934 1 0.92 3.15 .1935 2 0.92 2.99 .1936 1 0.92 3.00 .1937 2 0.92 3.18 .1938 3 0.92 3.20 .1939 2 0.92 3.01 .1940 2 0.92 2.98 .1941 2 0.92 3.10 .1942 2 0.92 3.11 .1943 4 0.92 3.22 .1944 2 0.92 3.21 .1945 2 0.92 3.15 .1946 2 0.92 3.25 .1947 3 0.92 3.18 .1948 2 0.92 3.08 .1949 1 0.92 3.25 .1950 1 0.92 3.11 .1951 3 0.92 3.16 .1952 4 0.92 3.27 .1953 2 0.92 3.30 .1954 3 0.92 3.11 .1955 2 0.92 3.11 .1956 3 0.92 3.07 .1957 3 0.92 3.07 .1958 2 0.92 3.07 .1959 2 0.92 3.00 .1960 1 0.92 2.93 .1961 1 0.92 2.81 .1962 3 0.92 2.75 .1963 3 0.92 2.74 .1964 3 0.92 2.66 .1965 2 0.92 2.60 .1966 7 0.92 2.47 .1967 3 0.93 2.61 .1968 2 0.93 2.49 .1969 7 0.93 2.45 .1970 4 0.93 2.52 .1971 2 0.93 2.45 .1972 1 0.93 2.45 .1973 3 0.93 2.45 .1974 3 0.93 2.36 .1975 2 0.93 2.53 .1976 2 0.93 2.42 .1977 1 0.93 2.54 .1978 1 0.93 2.37 .1979 3 0.93 2.53 .1980 3 0.93 2.58 .1981 3 0.93 2.49 .1982 2 0.93 2.57 .1983 1 0.93 2.60 .1984 1 0.93 2.57 .1985 2 0.93 2.53 .1986 2 0.93 2.57 .1987 1 0.93 2.75 .1988 2 0.93 2.67 .1989 3 0.93 2.78 .1990 3 0.93 2.93 .1991 5 0.93 3.15 .1992 3 0.93 3.02 .1993 4 0.93 3.00 .1994 3 0.93 3.02 .1995 2 0.93 3.04 .1996 1 0.93 2.95 .1997 1 0.93 2.96 .1998 1 0.93 2.96 .1999 1 0.93 2.97 .2000 1 0.93 2.94 .2001 2 0.93 2.94 .2002 1 0.93 3.10 .2003 2 0.93 2.98 .2004 3 0.93 3.12 .2005 2 0.93 3.12 .2006 1 0.93 3.06 .2007 1 0.93 3.00 .2008 1 0.93 2.93 .2009 1 0.93 3.03 .2010 1 0.93 3.09 .2011 1 0.93 2.87 .2012 1 0.93 3.04 .2013 1 0.93 2.80 .2014 1 0.93 2.90 .2015 3 0.93 2.80 .2016 3 0.93 2.75 .2017 1 0.93 2.79 .2018 1 0.93 2.43 .2019 1 0.93 2.58 .2020 1 0.93 2.57 .2021 1 0.93 2.38 .2022 1 0.93 2.33 .2023 1 0.93 2.30 .2024 1 0.93 2.22 .2025 3 0.93 2.37 .2026 2 0.93 2.27 .2027 1 0.93 2.29 .2028 2 0.93 2.25 .2029 2 0.93 2.23 .2030 1 0.93 2.12 .2031 1 0.93 2.25 .2032 2 0.93 2.19 .2033 1 0.93 2.18 .2034 3 0.93 2.24 .2035 1 0.93 2.21 .2036 2 0.93 2.21 .2037 4 0.93 2.21 .2038 1 0.93 2.39 .2039 1 0.93 2.29 .2040 2 0.94 2.21 .2041 2 0.94 2.45 .2042 3 0.94 2.43 .2043 1 0.94 2.44 .2044 1 0.94 2.55 .2045 1 0.94 2.60 .2046 1 0.94 2.69 .2047 1 0.94 2.88 EXTRACT_IMAGE: sdR-b2-00034755.fit: masked 3200 pixels DIVIDEFLAT: sdR-b2-00034755.fit: Warning: Reject 321 low points in trace 200 DIVIDEFLAT: sdR-b2-00034755.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-b2-00034755.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-b2-00034755.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-b2-00034755.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-b2-00034755.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-b2-00034755.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-b2-00034755.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-b2-00034755.fit: Warning: Reject 2048 low points in trace 311 LOCATESKYLINES_2: sdR-b2-00034755.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034755.fit: sky shift reference line, offset: 5577.3390 -0.017902994 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 0 0.67739622 109.65385 -0.24362558 0.60000000 18.722441 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 6 1.0761495 57.218010 0.084324173 0.98440178 55.000974 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 13 1.0655361 66.130575 -0.21674682 0.60000000 39.894031 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 18 1.1786660 55.002790 -0.73555873 1.0255368 65.262663 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 26 1.4477839 51.057089 -0.35102865 0.60000000 77.807978 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 52 3.6343539 52.306735 -1.0000000 1.0894319 49.889891 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 60 0.99383401 64.084233 -0.10669216 0.60000000 84.114293 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 63 2.0739295 37.771744 -0.73488947 0.60000000 57.132594 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 82 0.45715012 23.715049 -0.31858606 0.60000000 70.291400 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 84 1.4148349 6.4354298 -1.0000000 0.60000000 13.106303 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 109 2.3219815 39.216889 -1.0000000 1.1019432 61.811858 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 114 1.0402436 34.905562 0.59439467 0.60000000 48.321201 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 131 2.2131398 19.905094 -1.0000000 0.67097922 47.080876 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 153 0.39793964 53.066940 -0.54881667 0.60000000 52.523935 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 176 1.1343266 94.010864 -1.0000000 0.86132179 41.462339 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 180 1.2037835 98.828657 -1.0000000 0.96245309 38.489420 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 184 2.5247448 116.42940 -0.71035719 1.0352137 54.156168 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 185 0.73775949 104.60979 -0.73622640 0.60000000 42.293328 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 186 1.4783876 109.37013 -0.49315232 0.60000000 50.515503 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 201 0.51419716 58.752449 -0.48808922 0.60000000 52.378215 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 204 1.7225808 21.647792 -0.61834462 1.5915663 81.160321 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 206 0.18703621 42.346407 -0.91078062 0.83489692 101.14311 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 213 0.56102726 75.073192 -0.85095162 0.78373864 67.941807 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 235 1.5324864 66.970394 -0.98070170 0.60000000 32.335223 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 257 1.2551417 93.331702 -0.14194671 1.2129413 0.0000000 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 259 4.1986342 99.499359 -0.068131654 0.76026481 33.640519 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 260 1.1552248 79.727520 -0.44184326 0.60000000 43.551467 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 261 1.4031584 72.160412 -0.18978754 0.60000000 16.803303 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 265 0.82103017 77.191914 -0.31554049 0.60000000 27.317589 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 271 1.7090323 63.120488 -0.62767884 0.94418778 54.069378 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 276 2.1391519 43.334903 -0.99061196 0.60000000 18.554991 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 281 2.0384059 81.065440 -0.48140402 0.60000000 42.458529 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 284 2.1191674 86.061585 -0.060344817 0.60000000 38.156523 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 307 0.67191218 65.469951 -0.99224478 0.60000000 52.487264 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 0 308 1.7626050 62.074237 -1.0000000 0.91993456 27.610196 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: comb1 l,chi^2/dof,fit: 0 0.26310269 0.021928258 -0.71531657 1.0122029 0.91713642 LOCATESKYLINES_2: sdR-b2-00034755.fit: kept 72 of 72 points LOCATESKYLINES_2: sdR-b2-00034755.fit: offset, refoff, sigma: -0.733220-0.7153170.120861 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 0 0.61489788 141.88768 -0.24326669 0.86734117 183.19001 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 6 1.5079630 129.43737 0.087513359 1.1264425 143.23066 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 13 2.1591686 115.54774 -0.30880421 1.2951583 176.17881 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 18 0.67198886 118.88337 -0.026020216 0.94437879 163.74580 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 26 2.0819563 114.56380 -0.28272354 1.4059828 176.84679 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 52 1.5358513 88.971451 -0.037696469 1.1450889 166.75500 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 60 1.9740009 88.785650 0.026992980 1.0421141 196.88544 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 63 2.6582968 72.008448 -0.41171034 2.0000000 144.44321 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 82 1.5301198 70.397348 -0.18908960 1.2965727 179.16856 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 84 1.4456816 57.449013 -0.083440775 1.2772146 147.28443 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 109 0.46820791 87.583736 0.15862530 0.83302778 204.09556 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 114 0.70613466 76.428167 -0.33519631 1.2689665 151.99187 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 131 0.70141965 82.119541 0.072619836 1.1415298 166.85002 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 153 0.45255184 124.88881 -0.12976391 1.3162773 153.91583 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 176 0.23372785 92.008347 -0.43515335 1.4189176 199.56461 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 180 1.1799740 139.19450 0.024815567 1.1973680 167.67506 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 184 2.2209546 149.88290 -0.24051171 1.0290970 171.27710 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 185 0.57064433 132.36000 -0.052110256 1.1621521 167.85320 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 186 0.34243858 123.28266 0.029884340 1.1054342 202.25084 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 201 0.72727465 108.14234 0.10664980 1.1956422 171.50280 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 204 1.0411359 122.01846 0.16977372 1.0223501 166.73936 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 206 2.1231768 137.23101 -0.23083895 1.0502652 180.60175 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 213 0.62845697 136.67894 0.071753287 0.94783559 212.95921 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 235 0.63743301 100.98569 -0.30008032 1.1633967 182.37767 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 257 0.24338812 126.21503 -0.29931041 1.2370071 151.64279 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 259 2.3626743 149.01309 -0.15965129 1.1554345 153.70507 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 260 2.3441330 127.22813 0.18318449 1.0224116 181.38368 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 261 0.43969247 142.30433 -0.011442459 0.87858777 152.85103 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 265 2.5877813 116.07521 -0.20878857 1.0012935 218.54055 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 271 0.90662095 107.79808 -0.038971579 1.3338246 169.15775 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 276 0.84650919 110.35052 -0.067359989 1.1676199 154.72411 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 281 1.5473241 133.66818 -0.30232171 1.0890356 154.42919 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 284 2.1635104 111.04356 0.014694848 1.2573277 178.33202 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 307 1.1343421 127.73056 0.082632819 1.1014386 160.56787 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 1 308 1.0415591 141.80274 -0.063588350 1.1713971 150.77055 LOCATESKYLINES_2: sdR-b2-00034755.fit: comb1 l,chi^2/dof,fit: 1 0.98639804 0.0085352511 -0.078872599 1.1169034 0.97842723 LOCATESKYLINES_2: sdR-b2-00034755.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-b2-00034755.fit: offset, refoff, sigma: -0.096776-0.0788730.025401 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 0 0.68306372 127.57397 0.083956853 1.2995932 215.27989 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 6 0.98258094 54.849917 0.15741320 1.2760190 235.27190 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 13 2.0401738 99.463545 0.044093141 0.99566306 215.12282 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 18 1.7207344 104.65968 -0.094901069 0.88202283 260.52861 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 26 1.5608435 128.55210 0.077391665 1.1558171 223.99937 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 52 0.71001229 86.262837 0.098178185 1.2814401 237.68375 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 60 1.5977770 90.340802 -0.061217280 1.1514158 243.76123 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 63 2.3852140 93.303050 0.095424202 1.1492653 253.64274 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 82 1.3749373 108.95543 -0.012033351 1.0659120 264.52369 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 84 0.45140082 115.97800 0.014294635 0.89209011 188.18645 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 109 1.9505472 113.36015 0.11157154 1.1381772 242.75214 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 114 1.1152823 111.91574 -0.047475067 1.0799426 232.97697 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 131 0.85390645 135.63732 -0.22685895 1.3611136 155.13960 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 153 0.88064243 162.86291 0.067093880 1.1707616 202.78948 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 176 0.48542445 148.61674 -0.11842226 1.4114679 208.60914 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 180 0.91203971 139.17653 0.15347094 1.3564439 225.65722 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 184 1.3144648 149.38695 -0.046849372 1.4773059 196.16469 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 185 2.3426014 143.46151 0.22267794 1.0436129 249.92548 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 186 1.0846376 165.81349 0.16852088 0.92054433 280.35351 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 201 0.60477863 140.58371 0.21756586 1.0764415 264.00794 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 204 1.2313439 161.09360 0.15173183 1.0824871 230.23282 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 206 1.5216344 152.05884 0.15509297 1.1933458 207.18877 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 213 0.12343424 204.46163 0.12112570 1.1061495 257.36192 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 235 0.60353215 162.23528 -0.069961424 0.98254551 238.81161 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 257 0.94861602 166.33449 0.16481689 1.0416670 188.42292 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 259 2.9635976 175.14114 -0.18754102 1.4798238 259.29447 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 260 1.1827647 146.05953 -0.068523608 1.0319124 228.02702 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 261 0.40687667 165.40195 0.10994580 0.95572670 277.95394 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 265 0.40031566 161.11003 -0.014240205 1.2539339 143.07834 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 271 0.35244859 146.45702 0.15922377 0.92275892 214.57948 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 276 1.4007844 144.77127 0.13784961 1.1004424 231.71081 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 281 1.6365420 102.35893 0.015853191 1.2353073 294.03688 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 284 0.86888001 151.57578 0.18076047 1.0272136 266.36373 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 307 1.5105492 135.45769 0.16927183 1.0414644 258.37926 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 2 308 0.45929064 183.48216 0.22049139 0.84886485 262.31622 LOCATESKYLINES_2: sdR-b2-00034755.fit: comb1 l,chi^2/dof,fit: 2 1.0491627 0.0079266419 0.080188169 1.1112752 0.98266744 LOCATESKYLINES_2: sdR-b2-00034755.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-b2-00034755.fit: offset, refoff, sigma: 0.0622850.0801880.021140 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 0 0.66676076 144.65340 -0.027999744 0.89694317 2585.9534 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 6 3.7816278 35.171809 0.0097154886 0.93025706 2618.5678 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 13 5.3856047 84.685305 0.020803536 0.93563960 2466.3417 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 18 2.5006022 94.151495 0.016204764 0.89214247 2511.7653 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 26 4.5772093 149.51674 -0.0022494890 0.91826930 2503.5268 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 52 3.4592092 109.15998 0.0054681177 0.96080297 2368.8932 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 60 3.4129649 107.88143 0.014798661 0.92417316 2567.1371 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 63 1.3029405 112.88701 0.0083486235 0.91955036 2474.2561 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 82 4.7532167 91.828643 0.060480435 0.95506273 2501.8996 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 84 2.7839758 69.263605 0.076425050 0.93620010 2414.7778 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 109 4.1174322 91.101451 0.057062168 0.97598626 2442.0936 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 114 1.3675242 114.16857 0.025410766 0.93945030 2519.9674 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 131 3.1924697 103.75472 0.088436943 0.94108569 2527.0287 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 153 5.0759768 161.23369 0.071776177 0.93337990 2471.3145 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 176 3.1119815 130.71382 0.052952107 0.93024302 2531.4563 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 180 8.1291024 127.52588 0.038476360 0.93386338 2521.9901 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 184 1.8263163 156.31919 0.031002549 0.95130346 2473.4365 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 185 5.6195800 133.43280 0.061710306 0.92708072 2483.8997 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 186 7.2066547 116.01344 0.066893401 0.93201703 2563.5851 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 201 2.5057906 137.34653 0.069072851 0.93221400 2529.2901 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 204 1.6344231 132.58820 0.051804664 0.94614814 2409.8380 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 206 0.76362562 141.88052 0.046717341 0.93733224 2455.9151 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 213 7.8514904 187.58396 0.034973809 0.93291113 2442.4819 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 235 4.5866388 144.00497 0.035718022 0.93495810 2456.9270 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 257 1.3319851 142.18239 0.032664601 0.91212344 2533.0283 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 259 1.7638816 178.72716 0.026698676 0.92976652 2488.3765 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 260 5.6393920 144.31464 0.029567394 0.90644468 2587.7122 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 261 5.4536573 181.72207 0.073536476 0.91171385 2524.2897 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 265 1.0948905 139.39674 0.019247381 0.91704328 2542.0306 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 271 4.5542640 145.53734 0.021756796 0.95049313 2485.5956 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 276 3.1717352 132.53467 0.0072575569 0.93693890 2493.4317 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 281 3.2851517 127.66290 0.013100163 0.93800823 2395.1655 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 284 3.0940562 118.72701 0.021847039 0.95494120 2443.6287 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 307 3.2989612 120.81109 0.0054431829 0.93628853 2583.5567 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 3 308 0.94372397 160.01869 -0.010264938 0.93436347 2460.1385 LOCATESKYLINES_2: sdR-b2-00034755.fit: comb1 l,chi^2/dof,fit: 3 2.4679236 4.8715812e-05 0.033091054 0.93226608 0.99918792 LOCATESKYLINES_2: sdR-b2-00034755.fit: sigma-clipped to 313 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034755.fit: comb2 l,chi^2/dof,fit: 3 2.3376304 0.00016796493 0.030875193 0.93219268 0.99850911 LOCATESKYLINES_2: sdR-b2-00034755.fit: kept 313 of 315 points LOCATESKYLINES_2: sdR-b2-00034755.fit: offset, refoff, sigma: 0.0129720.0308750.002981 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 0 22.668770 149.31415 0.099787244 0.86299272 586.81057 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 6 32.598636 148.98271 0.062037179 0.69568050 625.55854 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 13 21.188414 77.361800 0.17083016 0.89955584 534.61186 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 18 14.936024 179.98811 0.050436791 0.84998557 490.21520 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 26 15.902377 208.97918 0.15110578 0.72515461 613.63678 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 52 5.2841563 118.32964 0.084250227 0.94209357 491.96079 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 60 27.336793 180.04191 0.12555503 0.70639366 574.46632 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 63 21.604532 145.97813 0.28539359 0.88817674 620.68209 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 82 20.578719 166.82217 0.042869053 0.87067152 511.70497 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 84 21.388511 147.45131 0.095271679 0.91583442 488.28794 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 109 23.898453 137.22090 0.13501573 0.83613226 549.16045 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 114 20.429687 139.26643 0.037254893 0.86212689 555.61903 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 131 14.341549 143.76996 0.15417212 0.82644865 577.72007 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 153 10.366866 149.82372 0.15421633 0.90718977 576.73725 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 176 15.762551 149.81636 0.13390873 0.92670128 582.30388 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 180 20.220652 146.89269 0.064370658 0.88709567 563.02281 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 184 20.834274 152.29773 0.15013001 0.85553892 523.02869 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 185 24.360469 150.29929 0.070999448 0.89995366 513.85819 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 186 19.517915 135.12132 0.16239506 0.98163315 590.57013 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 201 33.437831 169.85269 0.27933764 0.77856328 592.91197 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 204 26.252613 154.34277 0.074822186 0.86450028 563.59534 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 206 21.650166 175.22333 0.091421507 0.79287450 550.49627 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 213 22.223484 238.06447 0.12554198 0.78843313 502.95737 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 235 19.957406 188.08872 0.083470046 0.80073185 523.50940 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 257 11.500523 150.79336 0.10548549 0.80172891 599.85446 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 259 15.323885 184.80416 0.079719885 0.86079080 580.36331 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 260 18.661947 157.10573 0.051507334 0.85375762 600.95306 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 261 17.606884 159.96428 0.11108495 0.86456735 592.27551 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 265 30.963477 171.41624 0.068614312 0.76452746 592.06819 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 271 14.013274 141.72602 -0.037213426 0.82882296 597.05708 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 276 16.950581 124.43775 0.066467168 0.87132151 592.83231 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 281 20.761833 188.55737 0.077584469 0.71875701 571.85034 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 284 15.851126 135.41401 0.15538172 0.82403764 627.85869 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 307 26.086812 170.51985 0.082280432 0.70341888 623.11025 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 4 308 18.482625 202.13679 0.11369192 0.73902205 586.07194 LOCATESKYLINES_2: sdR-b2-00034755.fit: comb1 l,chi^2/dof,fit: 4 11.948965 0.00056920690 0.10870382 0.83857664 0.98873080 LOCATESKYLINES_2: sdR-b2-00034755.fit: sigma-clipped to 276 of 315 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034755.fit: comb2 l,chi^2/dof,fit: 4 2.2569706 -0.069858809 0.11230681 0.92232987 1.0351889 LOCATESKYLINES_2: sdR-b2-00034755.fit: kept 276 of 315 points LOCATESKYLINES_2: sdR-b2-00034755.fit: offset, refoff, sigma: 0.0944040.1123070.008115 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 0 29.249255 147.75094 0.040371061 0.84260564 343.34316 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 6 56.332264 127.17091 0.13174846 0.72093850 370.23892 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 13 24.158452 77.790720 0.091549341 0.84848354 369.80558 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 18 44.251990 183.83682 -0.11966840 0.60000000 261.85302 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 26 7.6890145 153.71086 0.029468777 0.82614034 359.34332 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 52 43.297595 148.18054 -0.10354672 0.68482957 339.64717 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 60 56.641601 167.93112 0.064516894 0.70299896 355.19660 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 63 12.356205 145.07758 0.16751507 0.63129607 353.43042 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 82 17.699695 137.54922 0.093059717 0.71236142 375.65458 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 84 19.888170 119.36421 0.11556317 0.83572941 394.78359 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 109 16.228080 105.97582 0.085129083 0.78730376 352.96396 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 114 28.894306 114.78642 0.12077696 0.74456798 376.44087 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 131 27.978424 127.10285 0.094759433 0.81865812 323.27469 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 153 48.619541 189.55495 0.097127652 0.72312272 312.46549 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 176 54.213241 181.95313 0.12941155 0.76516228 321.06394 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 180 62.980336 162.01964 0.056033277 0.82224168 345.52172 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 184 39.101817 152.19679 0.063247791 0.85726699 335.14578 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 185 39.997110 160.07210 0.16151992 0.78898882 361.04392 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 186 45.845043 156.94502 0.067628449 0.72899086 354.41333 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 201 11.748173 126.22872 0.15263588 0.85929863 385.34081 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 204 54.737933 195.94447 -0.027906472 0.60000000 345.83994 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 206 50.568202 189.05730 -0.0042702773 0.60000000 332.89095 LOCATESKYLINES_2: sdR-b2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 213 48.936292 211.24477 0.072601171 0.72783850 295.84733 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 235 53.342119 195.93699 0.069752166 0.65662105 267.98917 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 257 57.227435 158.95856 0.094438554 0.78363510 352.79082 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 259 49.816399 200.36706 0.14686705 0.75828523 344.11535 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 260 32.134065 181.85460 0.053050194 0.84048948 319.79384 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 261 25.998859 167.04599 0.059350115 0.77479672 347.97811 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 265 15.747583 121.10551 0.11178631 0.84680888 386.07767 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 271 58.110870 163.53225 0.16445409 0.76070407 299.32292 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 276 42.902804 140.11684 0.087931845 0.73262688 403.24805 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 281 49.714818 174.27020 -0.044923161 0.66352101 311.20810 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 284 39.986625 145.25545 0.070901325 0.76662160 349.66365 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 307 52.134440 181.74357 0.042140661 0.66296797 343.58475 LOCATESKYLINES_2: sdR-b2-00034755.fit: l,f,chi^2/dof,c: 5 308 46.634937 190.71009 -0.068177053 0.68655275 307.23421 LOCATESKYLINES_2: sdR-b2-00034755.fit: trimmed 1high points: 0.49129910 LOCATESKYLINES_2: sdR-b2-00034755.fit: comb1 l,chi^2/dof,fit: 5 19.574585 -0.0068730235 0.090487100 0.80000000 0.98038284 LOCATESKYLINES_2: sdR-b2-00034755.fit: sigma-clipped to 246 of 287 points; iterating fit LOCATESKYLINES_2: sdR-b2-00034755.fit: comb2 l,chi^2/dof,fit: 5 1.7416996 -0.11923906 0.095034158 0.88739626 1.0878124 LOCATESKYLINES_2: sdR-b2-00034755.fit: kept 246 of 287 points LOCATESKYLINES_2: sdR-b2-00034755.fit: offset, refoff, sigma: 0.0771310.0950340.011730 MRDFITS: Binary table. 5 columns by 1 rows. Iter 1 CHI-SQUARE = 10339.324 DOF = 1862 P(0) = 31.6540 P(1) = 0.00000 P(2) = 31.6540 P(3) = 31.6540 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 4813.2526 DOF = 1862 P(0) = 62.5660 P(1) = 4.21669E-05 P(2) = 80.9223 P(3) = 52.6603 P(4) = 0.000130000 P(5) = 0.114301 Iter 3 CHI-SQUARE = 4787.4685 DOF = 1862 P(0) = 61.8487 P(1) = 1.14569E-05 P(2) = 81.2208 P(3) = 51.8384 P(4) = 0.000130000 P(5) = 0.111958 Iter 4 CHI-SQUARE = 4784.2289 DOF = 1862 P(0) = 62.3237 P(1) = 1.27261E-05 P(2) = 84.8663 P(3) = 53.0972 P(4) = 0.000130000 P(5) = 0.141866 Iter 5 CHI-SQUARE = 4782.9939 DOF = 1862 P(0) = 62.6223 P(1) = 1.32819E-05 P(2) = 85.2876 P(3) = 53.2839 P(4) = 0.000130000 P(5) = 0.119460 Iter 6 CHI-SQUARE = 4782.9287 DOF = 1862 P(0) = 62.5443 P(1) = 1.32944E-05 P(2) = 85.2319 P(3) = 53.2447 P(4) = 0.000130000 P(5) = 0.116258 Iter 7 CHI-SQUARE = 4782.8690 DOF = 1862 P(0) = 62.4792 P(1) = 1.35669E-05 P(2) = 85.1199 P(3) = 53.2504 P(4) = 0.000130000 P(5) = 0.115757 Iter 8 CHI-SQUARE = 4782.8413 DOF = 1862 P(0) = 62.4710 P(1) = 1.37227E-05 P(2) = 85.0925 P(3) = 53.2682 P(4) = 0.000130000 P(5) = 0.113335 Iter 9 CHI-SQUARE = 4782.8353 DOF = 1862 P(0) = 62.4918 P(1) = 1.36890E-05 P(2) = 85.1197 P(3) = 53.2878 P(4) = 0.000130000 P(5) = 0.113702 Iter 10 CHI-SQUARE = 4782.8306 DOF = 1862 P(0) = 62.5035 P(1) = 1.36783E-05 P(2) = 85.1377 P(3) = 53.2945 P(4) = 0.000130000 P(5) = 0.114271 Iter 11 CHI-SQUARE = 4782.8225 DOF = 1862 P(0) = 62.5138 P(1) = 1.36916E-05 P(2) = 85.1531 P(3) = 53.2979 P(4) = 0.000130000 P(5) = 0.114817 Iter 12 CHI-SQUARE = 4782.8108 DOF = 1862 P(0) = 62.5128 P(1) = 1.37343E-05 P(2) = 85.1504 P(3) = 53.2886 P(4) = 0.000130000 P(5) = 0.115637 Iter 13 CHI-SQUARE = 4782.7869 DOF = 1862 P(0) = 62.5134 P(1) = 1.38294E-05 P(2) = 85.1369 P(3) = 53.2914 P(4) = 0.000130000 P(5) = 0.115494 Iter 14 CHI-SQUARE = 4782.7622 DOF = 1862 P(0) = 62.5758 P(1) = 1.39968E-05 P(2) = 85.1786 P(3) = 53.3232 P(4) = 0.000130000 P(5) = 0.113196 Iter 15 CHI-SQUARE = 4782.7098 DOF = 1862 P(0) = 62.5640 P(1) = 1.41856E-05 P(2) = 85.1368 P(3) = 53.3175 P(4) = 0.000130000 P(5) = 0.116623 Iter 16 CHI-SQUARE = 4782.6845 DOF = 1862 P(0) = 62.5017 P(1) = 1.43129E-05 P(2) = 85.0446 P(3) = 53.3070 P(4) = 0.000130000 P(5) = 0.114018 Iter 17 CHI-SQUARE = 4782.6462 DOF = 1862 P(0) = 62.5374 P(1) = 1.44647E-05 P(2) = 85.0712 P(3) = 53.3418 P(4) = 0.000130000 P(5) = 0.116021 Iter 18 CHI-SQUARE = 4782.6169 DOF = 1862 P(0) = 62.5859 P(1) = 1.47795E-05 P(2) = 85.0703 P(3) = 53.3723 P(4) = 0.000130000 P(5) = 0.112591 Iter 19 CHI-SQUARE = 4782.5944 DOF = 1862 P(0) = 62.5750 P(1) = 1.48250E-05 P(2) = 85.0575 P(3) = 53.3636 P(4) = 0.000130000 P(5) = 0.114404 Iter 20 CHI-SQUARE = 4782.5772 DOF = 1862 P(0) = 62.5359 P(1) = 1.48584E-05 P(2) = 85.0081 P(3) = 53.3499 P(4) = 0.000130000 P(5) = 0.114982 Iter 21 CHI-SQUARE = 4782.5732 DOF = 1862 P(0) = 62.5505 P(1) = 1.48961E-05 P(2) = 85.0234 P(3) = 53.3718 P(4) = 0.000130000 P(5) = 0.115588 Iter 22 CHI-SQUARE = 4782.5583 DOF = 1862 P(0) = 62.5238 P(1) = 1.49792E-05 P(2) = 84.9846 P(3) = 53.3742 P(4) = 0.000130000 P(5) = 0.116002 Iter 23 CHI-SQUARE = 4782.5583 DOF = 1862 P(0) = 62.5252 P(1) = 1.49779E-05 P(2) = 84.9862 P(3) = 53.3769 P(4) = 0.000130000 P(5) = 0.115847 Iter 24 CHI-SQUARE = 4782.5582 DOF = 1862 P(0) = 62.5258 P(1) = 1.49780E-05 P(2) = 84.9874 P(3) = 53.3781 P(4) = 0.000130000 P(5) = 0.115763 Iter 25 CHI-SQUARE = 4782.5576 DOF = 1862 P(0) = 62.5260 P(1) = 1.49817E-05 P(2) = 84.9876 P(3) = 53.3785 P(4) = 0.000130000 P(5) = 0.115739 Iter 26 CHI-SQUARE = 4782.5571 DOF = 1862 P(0) = 62.5260 P(1) = 1.49852E-05 P(2) = 84.9876 P(3) = 53.3786 P(4) = 0.000130000 P(5) = 0.115716 Iter 26 CHI-SQUARE = 4782.5571 DOF = 1862 P(0) = 62.5260 P(1) = 1.49852E-05 P(2) = 84.9876 P(3) = 53.3786 P(4) = 0.000130000 P(5) = 0.115716 FITMOONPLUSLINE: sdR-b2-00034755.fit: fit coeffs: 62.525974 1.4985161e-05 84.987603 53.378565 0.00013000000 0.11571635 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034755.fit: changing 4046.58 correction from -0.733220 to -0.13549285 pixels, err= 0.052955370 Iter 1 CHI-SQUARE = 34055.678 DOF = 3854 P(0) = 54.4096 P(1) = 0.00000 P(2) = 54.4096 P(3) = 54.4096 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 7696.5679 DOF = 3854 P(0) = 104.372 P(1) = 1.09374E-05 P(2) = 102.624 P(3) = 163.944 P(4) = 0.000130000 P(5) = 0.210970 Iter 3 CHI-SQUARE = 7696.4668 DOF = 3854 P(0) = 104.539 P(1) = 8.85710E-06 P(2) = 102.737 P(3) = 164.315 P(4) = 0.000130000 P(5) = 0.197958 Iter 4 CHI-SQUARE = 7694.2353 DOF = 3854 P(0) = 104.458 P(1) = 8.33496E-06 P(2) = 102.543 P(3) = 164.313 P(4) = 0.000130000 P(5) = 0.208021 Iter 5 CHI-SQUARE = 7693.9994 DOF = 3854 P(0) = 104.325 P(1) = 8.13757E-06 P(2) = 102.329 P(3) = 164.343 P(4) = 0.000130000 P(5) = 0.212031 Iter 6 CHI-SQUARE = 7693.7588 DOF = 3854 P(0) = 104.269 P(1) = 7.15160E-06 P(2) = 102.272 P(3) = 164.373 P(4) = 0.000130000 P(5) = 0.212391 Iter 7 CHI-SQUARE = 7693.6384 DOF = 3854 P(0) = 104.350 P(1) = 7.01097E-06 P(2) = 102.406 P(3) = 164.339 P(4) = 0.000130000 P(5) = 0.211455 Iter 8 CHI-SQUARE = 7693.6170 DOF = 3854 P(0) = 104.338 P(1) = 6.69960E-06 P(2) = 102.410 P(3) = 164.334 P(4) = 0.000130000 P(5) = 0.211105 Iter 9 CHI-SQUARE = 7693.6116 DOF = 3854 P(0) = 104.351 P(1) = 6.60836E-06 P(2) = 102.437 P(3) = 164.327 P(4) = 0.000130000 P(5) = 0.210757 Iter 10 CHI-SQUARE = 7693.6114 DOF = 3854 P(0) = 104.353 P(1) = 6.58963E-06 P(2) = 102.439 P(3) = 164.327 P(4) = 0.000130000 P(5) = 0.210754 Iter 11 CHI-SQUARE = 7693.6107 DOF = 3854 P(0) = 104.356 P(1) = 6.59125E-06 P(2) = 102.443 P(3) = 164.329 P(4) = 0.000130000 P(5) = 0.210800 Iter 12 CHI-SQUARE = 7693.6100 DOF = 3854 P(0) = 104.363 P(1) = 6.59945E-06 P(2) = 102.452 P(3) = 164.321 P(4) = 0.000130000 P(5) = 0.210887 Iter 13 CHI-SQUARE = 7693.6099 DOF = 3854 P(0) = 104.365 P(1) = 6.61704E-06 P(2) = 102.455 P(3) = 164.322 P(4) = 0.000130000 P(5) = 0.210862 Iter 14 CHI-SQUARE = 7693.6099 DOF = 3854 P(0) = 104.365 P(1) = 6.61510E-06 P(2) = 102.454 P(3) = 164.321 P(4) = 0.000130000 P(5) = 0.210868 Iter 15 CHI-SQUARE = 7693.6098 DOF = 3854 P(0) = 104.365 P(1) = 6.61618E-06 P(2) = 102.454 P(3) = 164.321 P(4) = 0.000130000 P(5) = 0.210869 Iter 16 CHI-SQUARE = 7693.6098 DOF = 3854 P(0) = 104.365 P(1) = 6.61668E-06 P(2) = 102.454 P(3) = 164.321 P(4) = 0.000130000 P(5) = 0.210870 Iter 17 CHI-SQUARE = 7693.6098 DOF = 3854 P(0) = 104.365 P(1) = 6.61693E-06 P(2) = 102.454 P(3) = 164.321 P(4) = 0.000130000 P(5) = 0.210871 Iter 17 CHI-SQUARE = 7693.6098 DOF = 3854 P(0) = 104.365 P(1) = 6.61693E-06 P(2) = 102.454 P(3) = 164.321 P(4) = 0.000130000 P(5) = 0.210871 FITMOONPLUSLINE: sdR-b2-00034755.fit: fit coeffs: 104.36507 6.6169335e-06 102.45443 164.32055 0.00013000000 0.21087050 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034755.fit: changing 4358.33 correction from -0.0967756 to -0.061009706 pixels, err= 0.024295934 Iter 1 CHI-SQUARE = 15464.895 DOF = 1286 P(0) = 78.6584 P(1) = 0.00000 P(2) = 78.6584 P(3) = 78.6584 P(4) = 0.000130000 P(5) = 0.00000 Iter 2 CHI-SQUARE = 2969.5767 DOF = 1286 P(0) = 141.683 P(1) = 2.25327E-05 P(2) = 178.091 P(3) = 193.338 P(4) = 0.000130000 P(5) = 0.377670 Iter 3 CHI-SQUARE = 2960.4813 DOF = 1286 P(0) = 141.012 P(1) = 2.15692E-05 P(2) = 200.421 P(3) = 190.638 P(4) = 0.000130000 P(5) = 0.354651 Iter 4 CHI-SQUARE = 2948.1103 DOF = 1286 P(0) = 140.506 P(1) = 1.88966E-05 P(2) = 207.357 P(3) = 189.608 P(4) = 0.000130000 P(5) = 0.372114 Iter 5 CHI-SQUARE = 2945.2504 DOF = 1286 P(0) = 141.714 P(1) = 1.67397E-05 P(2) = 206.404 P(3) = 190.233 P(4) = 0.000130000 P(5) = 0.542220 Iter 6 CHI-SQUARE = 2934.6133 DOF = 1286 P(0) = 142.468 P(1) = 1.64638E-05 P(2) = 206.889 P(3) = 190.741 P(4) = 0.000130000 P(5) = 0.420802 Iter 7 CHI-SQUARE = 2932.4822 DOF = 1286 P(0) = 140.784 P(1) = 1.53714E-05 P(2) = 203.661 P(3) = 190.588 P(4) = 0.000130000 P(5) = 0.328370 Iter 8 CHI-SQUARE = 2926.1727 DOF = 1286 P(0) = 141.337 P(1) = 1.42022E-05 P(2) = 201.171 P(3) = 191.149 P(4) = 0.000130000 P(5) = 0.341381 Iter 9 CHI-SQUARE = 2924.4014 DOF = 1286 P(0) = 141.967 P(1) = 1.19126E-05 P(2) = 196.068 P(3) = 191.683 P(4) = 0.000130000 P(5) = 0.484009 Iter 10 CHI-SQUARE = 2919.9465 DOF = 1286 P(0) = 141.099 P(1) = 1.08513E-05 P(2) = 192.326 P(3) = 192.089 P(4) = 0.000130000 P(5) = 0.434432 Iter 11 CHI-SQUARE = 2917.8259 DOF = 1286 P(0) = 141.734 P(1) = 1.08313E-05 P(2) = 192.208 P(3) = 192.413 P(4) = 0.000130000 P(5) = 0.383112 Iter 12 CHI-SQUARE = 2917.7012 DOF = 1286 P(0) = 141.931 P(1) = 1.07282E-05 P(2) = 192.183 P(3) = 192.401 P(4) = 0.000130000 P(5) = 0.374394 Iter 13 CHI-SQUARE = 2917.6520 DOF = 1286 P(0) = 141.908 P(1) = 1.07054E-05 P(2) = 192.164 P(3) = 192.329 P(4) = 0.000130000 P(5) = 0.376093 Iter 14 CHI-SQUARE = 2917.5953 DOF = 1286 P(0) = 141.833 P(1) = 1.06879E-05 P(2) = 192.139 P(3) = 192.271 P(4) = 0.000130000 P(5) = 0.375035 Iter 15 CHI-SQUARE = 2917.5371 DOF = 1286 P(0) = 141.823 P(1) = 1.06431E-05 P(2) = 192.019 P(3) = 192.312 P(4) = 0.000130000 P(5) = 0.370604 Iter 16 CHI-SQUARE = 2917.4694 DOF = 1286 P(0) = 141.827 P(1) = 1.05983E-05 P(2) = 191.866 P(3) = 192.336 P(4) = 0.000130000 P(5) = 0.373299 Iter 17 CHI-SQUARE = 2917.3627 DOF = 1286 P(0) = 141.722 P(1) = 1.05117E-05 P(2) = 191.518 P(3) = 192.346 P(4) = 0.000130000 P(5) = 0.381656 Iter 18 CHI-SQUARE = 2917.3313 DOF = 1286 P(0) = 141.714 P(1) = 1.04936E-05 P(2) = 191.382 P(3) = 192.377 P(4) = 0.000130000 P(5) = 0.379360 Iter 19 CHI-SQUARE = 2917.2745 DOF = 1286 P(0) = 141.717 P(1) = 1.04551E-05 P(2) = 191.311 P(3) = 192.390 P(4) = 0.000130000 P(5) = 0.375136 Iter 20 CHI-SQUARE = 2917.1787 DOF = 1286 P(0) = 141.828 P(1) = 1.03781E-05 P(2) = 191.182 P(3) = 192.440 P(4) = 0.000130000 P(5) = 0.371363 Iter 21 CHI-SQUARE = 2917.1163 DOF = 1286 P(0) = 141.659 P(1) = 1.03072E-05 P(2) = 190.923 P(3) = 192.392 P(4) = 0.000130000 P(5) = 0.370444 Iter 22 CHI-SQUARE = 2917.0823 DOF = 1286 P(0) = 141.727 P(1) = 1.03088E-05 P(2) = 190.866 P(3) = 192.462 P(4) = 0.000130000 P(5) = 0.373494 Iter 23 CHI-SQUARE = 2917.0439 DOF = 1286 P(0) = 141.753 P(1) = 1.02785E-05 P(2) = 190.810 P(3) = 192.471 P(4) = 0.000130000 P(5) = 0.372008 Iter 24 CHI-SQUARE = 2917.0134 DOF = 1286 P(0) = 141.788 P(1) = 1.02479E-05 P(2) = 190.755 P(3) = 192.489 P(4) = 0.000130000 P(5) = 0.369782 Iter 25 CHI-SQUARE = 2916.9649 DOF = 1286 P(0) = 141.755 P(1) = 1.02198E-05 P(2) = 190.672 P(3) = 192.453 P(4) = 0.000130000 P(5) = 0.374786 Iter 26 CHI-SQUARE = 2916.9348 DOF = 1286 P(0) = 141.627 P(1) = 1.01621E-05 P(2) = 190.430 P(3) = 192.447 P(4) = 0.000130000 P(5) = 0.376347 Iter 27 CHI-SQUARE = 2916.8314 DOF = 1286 P(0) = 141.738 P(1) = 1.01012E-05 P(2) = 190.293 P(3) = 192.528 P(4) = 0.000130000 P(5) = 0.370926 Iter 28 CHI-SQUARE = 2916.7705 DOF = 1286 P(0) = 141.798 P(1) = 1.00386E-05 P(2) = 190.174 P(3) = 192.545 P(4) = 0.000130000 P(5) = 0.368187 Iter 29 CHI-SQUARE = 2916.7071 DOF = 1286 P(0) = 141.880 P(1) = 9.97829E-06 P(2) = 190.063 P(3) = 192.551 P(4) = 0.000130000 P(5) = 0.376403 Iter 30 CHI-SQUARE = 2916.6781 DOF = 1286 P(0) = 141.842 P(1) = 9.96771E-06 P(2) = 190.020 P(3) = 192.523 P(4) = 0.000130000 P(5) = 0.377040 Iter 31 CHI-SQUARE = 2916.6488 DOF = 1286 P(0) = 141.727 P(1) = 9.95120E-06 P(2) = 189.932 P(3) = 192.488 P(4) = 0.000130000 P(5) = 0.374737 Iter 32 CHI-SQUARE = 2916.6359 DOF = 1286 P(0) = 141.831 P(1) = 9.93321E-06 P(2) = 189.860 P(3) = 192.568 P(4) = 0.000130000 P(5) = 0.376821 Iter 33 CHI-SQUARE = 2916.6037 DOF = 1286 P(0) = 141.740 P(1) = 9.91314E-06 P(2) = 189.800 P(3) = 192.519 P(4) = 0.000130000 P(5) = 0.374635 Iter 34 CHI-SQUARE = 2916.5770 DOF = 1286 P(0) = 141.780 P(1) = 9.88913E-06 P(2) = 189.722 P(3) = 192.571 P(4) = 0.000130000 P(5) = 0.374253 Iter 35 CHI-SQUARE = 2916.5503 DOF = 1286 P(0) = 141.779 P(1) = 9.86399E-06 P(2) = 189.652 P(3) = 192.574 P(4) = 0.000130000 P(5) = 0.373603 Iter 36 CHI-SQUARE = 2916.5233 DOF = 1286 P(0) = 141.754 P(1) = 9.83985E-06 P(2) = 189.578 P(3) = 192.566 P(4) = 0.000130000 P(5) = 0.373619 Iter 37 CHI-SQUARE = 2916.5035 DOF = 1286 P(0) = 141.813 P(1) = 9.81770E-06 P(2) = 189.510 P(3) = 192.600 P(4) = 0.000130000 P(5) = 0.376576 Iter 38 CHI-SQUARE = 2916.4475 DOF = 1286 P(0) = 141.719 P(1) = 9.76981E-06 P(2) = 189.337 P(3) = 192.582 P(4) = 0.000130000 P(5) = 0.376906 Iter 39 CHI-SQUARE = 2916.3485 DOF = 1286 P(0) = 141.724 P(1) = 9.66990E-06 P(2) = 189.042 P(3) = 192.623 P(4) = 0.000130000 P(5) = 0.381135 Iter 40 CHI-SQUARE = 2916.3361 DOF = 1286 P(0) = 141.810 P(1) = 9.65778E-06 P(2) = 189.002 P(3) = 192.671 P(4) = 0.000130000 P(5) = 0.377042 Iter 41 CHI-SQUARE = 2916.3117 DOF = 1286 P(0) = 141.745 P(1) = 9.64173E-06 P(2) = 188.962 P(3) = 192.623 P(4) = 0.000130000 P(5) = 0.376073 Iter 42 CHI-SQUARE = 2916.2787 DOF = 1286 P(0) = 141.731 P(1) = 9.60813E-06 P(2) = 188.849 P(3) = 192.644 P(4) = 0.000130000 P(5) = 0.375847 Iter 43 CHI-SQUARE = 2916.2733 DOF = 1286 P(0) = 141.765 P(1) = 9.60344E-06 P(2) = 188.817 P(3) = 192.665 P(4) = 0.000130000 P(5) = 0.376937 Iter 44 CHI-SQUARE = 2916.2609 DOF = 1286 P(0) = 141.779 P(1) = 9.58944E-06 P(2) = 188.796 P(3) = 192.670 P(4) = 0.000130000 P(5) = 0.376102 Iter 45 CHI-SQUARE = 2916.2467 DOF = 1286 P(0) = 141.765 P(1) = 9.57657E-06 P(2) = 188.766 P(3) = 192.658 P(4) = 0.000130000 P(5) = 0.376159 Iter 45 CHI-SQUARE = 2916.2467 DOF = 1286 P(0) = 141.765 P(1) = 9.57657E-06 P(2) = 188.766 P(3) = 192.658 P(4) = 0.000130000 P(5) = 0.376159 FITMOONPLUSLINE: sdR-b2-00034755.fit: fit coeffs: 141.76474 9.5765670e-06 188.76646 192.65812 0.00013000000 0.37615850 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034755.fit: changing 5460.94 correction from 0.0622852 to -0.098842463 pixels, err= 0.022521804 LOCATESKYLINES_2: sdR-b2-00034755.fit: applying -0.01 pixel correction to 0.09 0.08 0.62 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 FITMEANX: sdR-b2-00034755.fit: In skyline number 0 std-dev is 0.19247885 pix FITMEANX: sdR-b2-00034755.fit: In skyline number 1 std-dev is 0.067028881 pix FITMEANX: sdR-b2-00034755.fit: In skyline number 2 std-dev is 0.063475896 pix FITMEANX: sdR-b2-00034755.fit: In skyline number 3 std-dev is 0.024352312 pix FITMEANX: sdR-b2-00034755.fit: In skyline number 4 std-dev is 0.048750725 pix FITMEANX: sdR-b2-00034755.fit: In skyline number 5 std-dev is 0.043465940 pix LOCATESKYLINES_2: sdR-b2-00034755.fit: Fitting 2 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034755.fit: In sky feature at 4046.5600 coadded std-dev is 0.0529554 pix LOCATESKYLINES_2: sdR-b2-00034755.fit: In sky feature at 4358.3300 coadded std-dev is 0.0242959 pix LOCATESKYLINES_2: sdR-b2-00034755.fit: In sky feature at 5460.9400 coadded std-dev is 0.0225218 pix LOCATESKYLINES_2: sdR-b2-00034755.fit: In sky feature at 5577.3390 coadded std-dev is 0.00298080 pix LOCATESKYLINES_2: sdR-b2-00034755.fit: In sky feature at 5889.9500 coadded std-dev is 0.00811515 pix LOCATESKYLINES_2: sdR-b2-00034755.fit: In sky feature at 5895.9240 coadded std-dev is Inf pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 6 0 1 6 0 2 6 0 3 6 0 4 6 0 5 6 0 6 6 0 7 6 0 8 6 0 9 6 0 10 6 0 11 6 0 12 6 0 13 6 0 14 6 0 15 6 0 16 6 0 17 6 0 18 6 0 19 6 0 20 6 0 21 6 0 22 6 0 23 6 0 24 6 0 25 6 0 26 6 0 27 6 0 28 6 0 29 6 0 30 6 0 31 6 0 32 6 0 33 6 0 34 6 0 35 6 0 36 6 0 37 6 0 38 6 0 39 6 0 40 6 0 41 6 0 42 6 0 43 6 0 44 6 0 45 6 0 46 6 0 47 6 0 48 6 0 49 6 0 50 6 0 51 6 0 52 6 0 53 6 0 54 6 0 55 6 0 56 6 0 57 6 0 58 6 0 59 6 0 60 6 0 61 6 0 62 6 0 63 6 0 64 6 0 65 6 0 66 6 0 67 6 0 68 6 0 69 6 0 70 6 0 71 6 0 72 6 0 73 6 0 74 6 0 75 6 0 76 6 0 77 6 0 78 6 0 79 6 0 80 6 0 81 6 0 82 6 0 83 6 0 84 6 0 85 6 0 86 6 0 87 6 0 88 6 0 89 6 0 90 6 0 91 6 0 92 6 0 93 6 0 94 6 0 95 6 0 96 6 0 97 6 0 98 6 0 99 6 0 100 6 0 101 6 0 102 6 0 103 6 0 104 6 0 105 6 0 106 6 0 107 6 0 108 6 0 109 6 0 110 6 0 111 6 0 112 6 0 113 6 0 114 6 0 115 6 0 116 6 0 117 6 0 118 6 0 119 6 0 120 6 0 121 6 0 122 6 0 123 6 0 124 6 0 125 6 0 126 6 0 127 6 0 128 6 0 129 6 0 130 6 0 131 6 0 132 6 0 133 6 0 134 6 0 135 6 0 136 6 0 137 6 0 138 6 0 139 6 0 140 6 0 141 6 0 142 6 0 143 6 0 144 6 0 145 6 0 146 6 0 147 6 0 148 6 0 149 6 0 150 6 0 151 6 0 152 6 0 153 6 0 154 6 0 155 6 0 156 6 0 157 6 0 158 6 0 159 6 0 160 6 0 161 6 0 162 6 0 163 6 0 164 6 0 165 6 0 166 6 0 167 6 0 168 6 0 169 6 0 170 6 0 171 6 0 172 6 0 173 6 0 174 6 0 175 6 0 176 6 0 177 6 0 178 6 0 179 6 0 180 6 0 181 6 0 182 6 0 183 6 0 184 6 0 185 6 0 186 6 0 187 6 0 188 6 0 189 6 0 190 6 0 191 6 0 192 6 0 193 6 0 194 6 0 195 6 0 196 6 0 197 6 0 198 6 0 199 6 0 200 6 0 201 6 0 202 6 0 203 6 0 204 6 0 205 6 0 206 6 0 207 6 0 208 6 0 209 6 0 210 6 0 211 6 0 212 6 0 213 6 0 214 6 0 215 6 0 216 6 0 217 6 0 218 6 0 219 6 0 220 6 0 221 6 0 222 6 0 223 6 0 224 6 0 225 6 0 226 6 0 227 6 0 228 6 0 229 6 0 230 6 0 231 6 0 232 6 0 233 6 0 234 6 0 235 6 0 236 6 0 237 6 0 238 6 0 239 6 0 240 6 0 241 6 0 242 6 0 243 6 0 244 6 0 245 6 0 246 6 0 247 6 0 248 6 0 249 6 0 250 6 0 251 6 0 252 6 0 253 6 0 254 6 0 255 6 0 256 6 0 257 6 0 258 6 0 259 6 0 260 6 0 261 6 0 262 6 0 263 6 0 264 6 0 265 6 0 266 6 0 267 6 0 268 6 0 269 6 0 270 6 0 271 6 0 272 6 0 273 6 0 274 6 0 275 6 0 276 6 0 277 6 0 278 6 0 279 6 0 280 6 0 281 6 0 282 6 0 283 6 0 284 6 0 285 6 0 286 6 0 287 6 0 288 6 0 289 6 0 290 6 0 291 6 0 292 6 0 293 6 0 294 6 0 295 6 0 296 6 0 297 6 0 298 6 0 299 6 0 300 6 0 301 6 0 302 6 0 303 6 0 304 6 0 305 6 0 306 6 0 307 6 0 308 6 0 309 6 0 310 6 0 311 6 0 312 6 0 313 6 0 314 6 0 315 6 0 316 6 0 317 6 0 318 6 0 319 6 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-b2-00034755.fit: Median arc shift = -0.034383856 pix LOCATESKYLINES_2: sdR-b2-00034755.fit: Dispersion in arc shift = 0.056781580 pix LOCATESKYLINES_2: sdR-b2-00034755.fit: Maximum sky-line shift is 0.12395401 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Number of sky lines = 6 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Number of sky fibers = 30 ROW NITER SIG(med) CHI^2 .0000 1 0.86 0.07 .0001 3 0.86 0.61 .0002 7 0.86 0.65 .0003 2 0.86 0.41 .0004 10 0.86 0.46 .0005 8 0.86 0.56 .0006 1 0.86 0.07 .0007 6 0.86 0.91 .0008 2 0.86 0.50 .0009 4 0.86 1.03 .0010 2 0.86 0.66 .0011 11 0.86 0.30 .0012 9 0.86 0.50 .0013 1 0.86 0.10 .0014 5 0.86 1.01 .0015 4 0.86 0.88 .0016 7 0.86 0.46 .0017 3 0.86 1.19 .0018 1 0.86 0.06 .0019 1 0.86 0.32 .0020 5 0.84 0.90 .0021 1 0.84 0.22 .0022 9 0.84 0.39 .0023 11 0.84 0.36 .0024 3 0.84 0.58 .0025 1 0.84 0.65 .0026 1 0.84 0.08 .0027 11 0.84 0.36 .0028 2 0.84 0.76 .0029 3 0.84 0.81 .0030 2 0.84 0.45 .0031 3 0.84 0.71 .0032 9 0.84 0.39 .0033 3 0.84 1.19 .0034 10 0.84 0.40 .0035 4 0.84 0.93 .0036 2 0.84 0.85 .0037 5 0.84 0.64 .0038 2 0.84 0.88 .0039 3 0.84 0.66 .0040 10 0.87 0.25 .0041 2 0.87 0.74 .0042 3 0.87 0.52 .0043 1 0.87 0.69 .0044 1 0.87 0.51 .0045 8 0.87 0.37 .0046 9 0.87 0.39 .0047 4 0.87 0.58 .0048 1 0.87 0.51 .0049 2 0.87 0.59 .0050 2 0.87 0.72 .0051 9 0.87 0.44 .0052 1 0.87 0.10 .0053 1 0.87 0.70 .0054 5 0.87 0.80 .0055 10 0.87 0.39 .0056 2 0.87 0.70 .0057 2 0.87 0.98 .0058 3 0.87 0.74 .0059 2 0.87 0.48 .0060 1 0.86 0.09 .0061 3 0.86 0.68 .0062 4 0.86 0.74 .0063 1 0.86 0.09 .0064 9 0.86 0.27 .0065 3 0.86 0.73 .0066 3 0.86 0.76 .0067 4 0.86 0.77 .0068 2 0.86 0.78 .0069 10 0.86 0.29 .0070 8 0.86 0.50 .0071 1 0.86 0.55 .0072 3 0.86 0.75 .0073 2 0.86 0.66 .0074 1 0.86 0.56 .0075 3 0.86 0.63 .0076 10 0.86 0.39 .0077 4 0.86 0.73 .0078 7 0.86 0.43 .0079 1 0.86 0.57 .0080 8 0.86 0.72 .0081 3 0.86 0.56 .0082 1 0.86 0.08 .0083 3 0.86 0.74 .0084 1 0.86 0.08 .0085 1 0.86 0.50 .0086 11 0.86 0.28 .0087 3 0.86 0.81 .0088 5 0.86 0.70 .0089 2 0.86 0.70 .0090 4 0.86 0.71 .0091 1 0.86 0.52 .0092 1 0.86 0.82 .0093 3 0.86 0.87 .0094 1 0.86 0.68 .0095 3 0.86 0.84 .0096 3 0.86 0.80 .0097 9 0.86 0.45 .0098 2 0.86 0.80 .0099 2 0.86 0.58 .0100 2 0.86 0.73 .0101 9 0.86 0.30 .0102 10 0.86 0.33 .0103 2 0.86 0.63 .0104 2 0.86 0.54 .0105 9 0.86 0.44 .0106 1 0.86 0.59 .0107 4 0.86 0.74 .0108 2 0.86 0.62 .0109 1 0.86 0.08 .0110 1 0.86 0.41 .0111 2 0.86 0.69 .0112 10 0.86 0.46 .0113 1 0.86 0.73 .0114 1 0.86 0.07 .0115 3 0.86 1.04 .0116 2 0.86 0.70 .0117 10 0.86 0.37 .0118 1 0.86 0.66 .0119 5 0.86 0.50 .0120 2 0.84 0.74 .0121 2 0.84 0.45 .0122 3 0.84 0.70 .0123 4 0.84 0.70 .0124 2 0.84 0.54 .0125 1 0.84 0.60 .0126 1 0.84 0.52 .0127 2 0.84 0.69 .0128 11 0.84 0.28 .0129 3 0.84 0.81 .0130 9 0.84 0.79 .0131 1 0.84 0.08 .0132 6 0.84 0.54 .0133 3 0.84 0.96 .0134 3 0.84 0.83 .0135 2 0.84 0.69 .0136 1 0.84 0.28 .0137 3 0.84 0.64 .0138 3 0.84 0.66 .0139 4 0.84 0.71 .0140 2 0.85 0.58 .0141 8 0.85 0.84 .0142 9 0.85 0.43 .0143 2 0.85 0.63 .0144 4 0.85 0.92 .0145 1 0.85 0.62 .0146 2 0.85 0.69 .0147 3 0.85 0.61 .0148 2 0.85 0.73 .0149 9 0.85 0.34 .0150 4 0.85 0.70 .0151 4 0.85 0.78 .0152 3 0.85 0.62 .0153 1 0.85 0.07 .0154 10 0.85 0.41 .0155 11 0.85 0.43 .0156 2 0.85 0.93 .0157 14 0.85 0.32 .0158 2 0.85 0.58 .0159 3 0.85 0.73 .0160 1 0.86 0.68 .0161 2 0.86 0.96 .0162 2 0.86 0.83 .0163 3 0.86 0.64 .0164 3 0.86 0.68 .0165 1 0.86 0.10 .0166 1 0.86 0.41 .0167 3 0.86 0.73 .0168 3 0.86 0.78 .0169 5 0.86 0.91 .0170 4 0.86 0.76 .0171 3 0.86 0.58 .0172 1 0.86 0.10 .0173 2 0.86 0.64 .0174 1 0.86 0.10 .0175 2 0.86 0.59 .0176 1 0.86 0.10 .0177 2 0.86 0.85 .0178 2 0.86 0.17 .0179 2 0.86 0.41 .0180 1 0.85 0.09 .0181 1 0.85 0.47 .0182 1 0.85 0.15 .0183 3 0.85 0.71 .0184 1 0.85 0.08 .0185 1 0.85 0.08 .0186 1 0.85 0.11 .0187 1 0.85 0.10 .0188 2 0.85 0.89 .0189 5 0.85 0.96 .0190 1 0.85 0.11 .0191 1 0.85 0.13 .0192 1 0.85 0.10 .0193 1 0.85 0.16 .0194 1 0.85 0.13 .0195 1 0.85 0.10 .0196 1 0.85 0.22 .0197 3 0.85 1.02 .0198 1 0.85 0.13 .0199 1 0.85 0.12 .0200 2 0.85 0.37 .0201 1 0.85 0.09 .0202 9 0.85 0.41 .0203 2 0.85 0.63 .0204 1 0.85 0.08 .0205 11 0.85 0.32 .0206 1 0.85 0.07 .0207 9 0.85 0.63 .0208 2 0.85 0.57 .0209 10 0.85 0.44 .0210 2 0.85 0.83 .0211 4 0.85 0.69 .0212 2 0.85 0.89 .0213 1 0.85 0.08 .0214 2 0.85 0.64 .0215 7 0.85 0.64 .0216 9 0.85 0.47 .0217 9 0.85 0.42 .0218 1 0.85 0.43 .0219 2 0.85 0.40 .0220 6 0.85 0.72 .0221 5 0.85 0.69 .0222 5 0.85 0.56 .0223 9 0.85 0.43 .0224 3 0.85 0.68 .0225 2 0.85 0.59 .0226 5 0.85 0.78 .0227 1 0.85 0.27 .0228 7 0.85 0.49 .0229 3 0.85 0.89 .0230 1 0.85 0.65 .0231 3 0.85 0.83 .0232 1 0.85 0.11 .0233 4 0.85 0.84 .0234 3 0.85 0.81 .0235 1 0.85 0.07 .0236 2 0.85 0.94 .0237 3 0.85 0.84 .0238 11 0.85 0.34 .0239 1 0.85 0.08 .0240 10 0.85 0.44 .0241 0 0.85 0.00 .0242 9 0.85 0.39 .0243 3 0.85 1.33 .0244 3 0.85 0.85 .0245 3 0.85 0.86 .0246 4 0.85 0.57 .0247 3 0.85 1.06 .0248 3 0.85 0.74 .0249 1 0.85 0.83 .0250 2 0.85 0.61 .0251 7 0.85 0.80 .0252 3 0.85 0.69 .0253 3 0.85 0.64 .0254 1 0.85 0.17 .0255 3 0.85 0.95 .0256 1 0.85 0.65 .0257 1 0.85 0.07 .0258 2 0.85 0.66 .0259 1 0.85 0.09 .0260 1 0.85 0.07 .0261 1 0.85 0.08 .0262 8 0.85 0.49 .0263 0 0.85 0.00 .0264 6 0.85 0.84 .0265 1 0.85 0.08 .0266 4 0.85 0.65 .0267 3 0.85 0.75 .0268 2 0.85 1.14 .0269 4 0.85 0.83 .0270 3 0.85 0.88 .0271 1 0.85 0.09 .0272 3 0.85 0.88 .0273 4 0.85 1.55 .0274 3 0.85 0.73 .0275 9 0.85 0.37 .0276 1 0.85 0.06 .0277 4 0.85 0.90 .0278 4 0.85 1.17 .0279 5 0.85 1.12 .0280 2 0.86 0.63 .0281 1 0.86 0.09 .0282 3 0.86 0.69 .0283 2 0.86 0.74 .0284 1 0.86 0.09 .0285 4 0.86 0.66 .0286 2 0.86 0.60 .0287 1 0.86 0.56 .0288 3 0.86 0.57 .0289 3 0.86 0.65 .0290 3 0.86 0.83 .0291 4 0.86 0.91 .0292 0 0.86 0.00 .0293 3 0.86 0.75 .0294 1 0.86 0.68 .0295 2 0.86 0.51 .0296 4 0.86 0.62 .0297 3 0.86 0.64 .0298 8 0.86 0.57 .0299 3 0.86 0.80 .0300 2 0.86 0.80 .0301 4 0.86 0.97 .0302 3 0.86 0.74 .0303 10 0.86 0.45 .0304 3 0.86 1.41 .0305 2 0.86 0.62 .0306 3 0.86 0.54 .0307 1 0.86 0.07 .0308 1 0.86 0.08 .0309 3 0.86 0.77 .0310 2 0.86 0.77 .0311 0 0.86 0.00 .0312 10 0.86 0.42 .0313 3 0.86 0.78 .0314 3 0.86 0.81 .0315 8 0.86 0.79 .0316 9 0.86 0.88 .0317 3 0.86 0.76 .0318 3 0.86 0.76 .0319 4 0.86 0.81 EXTRACT_IMAGE: sdR-b2-00034755.fit: masked 1331 pixels SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 0 median sigma(arc)= 0.86140309 sigma(sky)= -826.96419 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 0 sigma^2(add)= 565264.40 +/- 608863.84 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 1 median sigma(arc)= 0.86122848 sigma(sky)= -1243.6579 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 1 sigma^2(add)= 1479163.9 +/- 2178103.0 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 2 median sigma(arc)= 0.85466642 sigma(sky)= 1.0624232 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 2 sigma^2(add)= 0.41688626 +/- 0.21099566 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 3 median sigma(arc)= 0.85353827 sigma(sky)= 0.68635057 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 3 sigma^2(add)= -0.13620496 +/- 0.44594521 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 4 median sigma(arc)= 0.88248085 sigma(sky)= 1.2951659 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 4 sigma^2(add)= 0.87911720 +/- 0.72086608 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 5 median sigma(arc)= 0.90627044 sigma(sky)= -54.381492 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Line # 5 sigma^2(add)= 24570.447 +/- 150332.81 SKYLINE_DISPERSION: sdR-b2-00034755.fit: Flexure sigma^2(add) = 0.13380643 +/- 0.22422080 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-b2-00034755.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-b2-00034755.fit: Heliocentric correction = 22.889127 km/s FITVACSET: sdR-b2-00034755.fit: Tweaking to sky lines FITVACSET: sdR-b2-00034755.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 15 0 1 15 0 2 15 0 3 15 0 4 15 0 5 15 0 6 15 0 7 15 0 8 15 0 9 15 0 10 15 0 11 15 0 12 15 0 13 15 0 14 15 0 15 15 0 16 15 0 17 15 0 18 15 0 19 15 0 20 15 0 21 15 0 22 15 0 23 15 0 24 15 0 25 15 0 26 15 0 27 15 0 28 15 0 29 15 0 30 15 0 31 15 0 32 15 0 33 15 0 34 15 0 35 15 0 36 15 0 37 15 0 38 15 0 39 15 0 40 15 0 41 15 0 42 15 0 43 15 0 44 15 0 45 15 0 46 15 0 47 15 0 48 15 0 49 15 0 50 15 0 51 15 0 52 15 0 53 15 0 54 15 0 55 15 0 56 15 0 57 15 0 58 15 0 59 15 0 60 15 0 61 15 0 62 15 0 63 15 0 64 15 0 65 15 0 66 15 0 67 15 0 68 15 0 69 15 0 70 15 0 71 15 0 72 15 0 73 15 0 74 15 0 75 15 0 76 15 0 77 15 0 78 15 0 79 15 0 80 15 0 81 15 0 82 15 0 83 15 0 84 15 0 85 15 0 86 15 0 87 15 0 88 15 0 89 15 0 90 15 0 91 15 0 92 15 0 93 15 0 94 15 0 95 15 0 96 15 0 97 15 0 98 15 0 99 15 0 100 15 0 101 15 0 102 15 0 103 15 0 104 15 0 105 15 0 106 15 0 107 15 0 108 15 0 109 15 0 110 15 0 111 15 0 112 15 0 113 15 0 114 15 0 115 15 0 116 15 0 117 15 0 118 15 0 119 15 0 120 15 0 121 15 0 122 15 0 123 15 0 124 15 0 125 15 0 126 15 0 127 15 0 128 15 0 129 15 0 130 15 0 131 15 0 132 15 0 133 15 0 134 15 0 135 15 0 136 15 0 137 15 0 138 15 0 139 15 0 140 15 0 141 15 0 142 15 0 143 15 0 144 15 0 145 15 0 146 15 0 147 15 0 148 15 0 149 15 0 150 15 0 151 15 0 152 15 0 153 15 0 154 15 0 155 15 0 156 15 0 157 15 0 158 15 0 159 15 0 160 15 0 161 15 0 162 15 0 163 15 0 164 15 0 165 15 0 166 15 0 167 15 0 168 15 0 169 15 0 170 15 0 171 15 0 172 15 0 173 15 0 174 15 0 175 15 0 176 15 0 177 15 0 178 15 0 179 15 0 180 15 0 181 15 0 182 15 0 183 15 0 184 15 0 185 15 0 186 15 0 187 15 0 188 15 0 189 15 0 190 15 0 191 15 0 192 15 0 193 15 0 194 15 0 195 15 0 196 15 0 197 15 0 198 15 0 199 15 0 200 15 0 201 15 0 202 15 0 203 15 0 204 15 0 205 15 0 206 15 0 207 15 0 208 15 0 209 15 0 210 15 0 211 15 0 212 15 0 213 15 0 214 15 0 215 15 0 216 15 0 217 15 0 218 15 0 219 15 0 220 15 0 221 15 0 222 15 0 223 15 0 224 15 0 225 15 0 226 15 0 227 15 0 228 15 0 229 15 0 230 15 0 231 15 0 232 15 0 233 15 0 234 15 0 235 15 0 236 15 0 237 15 0 238 15 0 239 15 0 240 15 0 241 15 0 242 15 0 243 15 0 244 15 0 245 15 0 246 15 0 247 15 0 248 15 0 249 15 0 250 15 0 251 15 0 252 15 0 253 15 0 254 15 0 255 15 0 256 15 0 257 15 0 258 15 0 259 15 0 260 15 0 261 15 0 262 15 0 263 15 0 264 15 0 265 15 0 266 15 0 267 15 0 268 15 0 269 15 0 270 15 0 271 15 0 272 15 0 273 15 0 274 15 0 275 15 0 276 15 0 277 15 0 278 15 0 279 15 0 280 15 0 281 15 0 282 15 0 283 15 0 284 15 0 285 15 0 286 15 0 287 15 0 288 15 0 289 15 0 290 15 0 291 15 0 292 15 0 293 15 0 294 15 0 295 15 0 296 15 0 297 15 0 298 15 0 299 15 0 300 15 0 301 15 0 302 15 0 303 15 0 304 15 0 305 15 0 306 15 0 307 15 0 308 15 0 309 15 0 310 15 0 311 15 0 312 15 0 313 15 0 314 15 0 315 15 0 316 15 0 317 15 0 318 15 0 319 15 0 XY2TRACESET: sdR-b2-00034755.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-b2-00034755.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-b2-00034755.fit: Number of sky fibers = 30 SKYSUBTRACT: sdR-b2-00034755.fit: Airmass range = 1.21605 1.25845 SKYSUBTRACT: sdR-b2-00034755.fit: Discarding 0.00174154 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 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298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 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1045 of 1534 Bin 1046 of 1534 Bin 1047 of 1534 Bin 1048 of 1534 Bin 1049 of 1534 Bin 1050 of 1534 Bin 1051 of 1534 Bin 1052 of 1534 Bin 1053 of 1534 Bin 1054 of 1534 Bin 1055 of 1534 Bin 1056 of 1534 Bin 1057 of 1534 Bin 1058 of 1534 Bin 1059 of 1534 Bin 1060 of 1534 Bin 1061 of 1534 Bin 1062 of 1534 Bin 1063 of 1534 Bin 1064 of 1534 Bin 1065 of 1534 Bin 1066 of 1534 Bin 1067 of 1534 Bin 1068 of 1534 Bin 1069 of 1534 Bin 1070 of 1534 Bin 1071 of 1534 Bin 1072 of 1534 Bin 1073 of 1534 Bin 1074 of 1534 Bin 1075 of 1534 Bin 1076 of 1534 Bin 1077 of 1534 Bin 1078 of 1534 Bin 1079 of 1534 Bin 1080 of 1534 Bin 1081 of 1534 Bin 1082 of 1534 Bin 1083 of 1534 Bin 1084 of 1534 Bin 1085 of 1534 Bin 1086 of 1534 Bin 1087 of 1534 Bin 1088 of 1534 Bin 1089 of 1534 Bin 1090 of 1534 Bin 1091 of 1534 Bin 1092 of 1534 Bin 1093 of 1534 Bin 1094 of 1534 Bin 1095 of 1534 Bin 1096 of 1534 Bin 1097 of 1534 Bin 1098 of 1534 Bin 1099 of 1534 Bin 1100 of 1534 Bin 1101 of 1534 Bin 1102 of 1534 Bin 1103 of 1534 Bin 1104 of 1534 Bin 1105 of 1534 Bin 1106 of 1534 Bin 1107 of 1534 Bin 1108 of 1534 Bin 1109 of 1534 Bin 1110 of 1534 Bin 1111 of 1534 Bin 1112 of 1534 Bin 1113 of 1534 Bin 1114 of 1534 Bin 1115 of 1534 Bin 1116 of 1534 Bin 1117 of 1534 Bin 1118 of 1534 Bin 1119 of 1534 Bin 1120 of 1534 Bin 1121 of 1534 Bin 1122 of 1534 Bin 1123 of 1534 Bin 1124 of 1534 Bin 1125 of 1534 Bin 1126 of 1534 Bin 1127 of 1534 Bin 1128 of 1534 Bin 1129 of 1534 Bin 1130 of 1534 Bin 1131 of 1534 Bin 1132 of 1534 Bin 1133 of 1534 Bin 1134 of 1534 Bin 1135 of 1534 Bin 1136 of 1534 Bin 1137 of 1534 Bin 1138 of 1534 Bin 1139 of 1534 Bin 1140 of 1534 Bin 1141 of 1534 Bin 1142 of 1534 Bin 1143 of 1534 Bin 1144 of 1534 Bin 1145 of 1534 Bin 1146 of 1534 Bin 1147 of 1534 Bin 1148 of 1534 Bin 1149 of 1534 Bin 1150 of 1534 Bin 1151 of 1534 Bin 1152 of 1534 Bin 1153 of 1534 Bin 1154 of 1534 Bin 1155 of 1534 Bin 1156 of 1534 Bin 1157 of 1534 Bin 1158 of 1534 Bin 1159 of 1534 Bin 1160 of 1534 Bin 1161 of 1534 Bin 1162 of 1534 Bin 1163 of 1534 Bin 1164 of 1534 Bin 1165 of 1534 Bin 1166 of 1534 Bin 1167 of 1534 Bin 1168 of 1534 Bin 1169 of 1534 Bin 1170 of 1534 Bin 1171 of 1534 Bin 1172 of 1534 Bin 1173 of 1534 Bin 1174 of 1534 Bin 1175 of 1534 Bin 1176 of 1534 Bin 1177 of 1534 Bin 1178 of 1534 Bin 1179 of 1534 Bin 1180 of 1534 Bin 1181 of 1534 Bin 1182 of 1534 Bin 1183 of 1534 Bin 1184 of 1534 Bin 1185 of 1534 Bin 1186 of 1534 Bin 1187 of 1534 Bin 1188 of 1534 Bin 1189 of 1534 Bin 1190 of 1534 Bin 1191 of 1534 Bin 1192 of 1534 Bin 1193 of 1534 Bin 1194 of 1534 Bin 1195 of 1534 Bin 1196 of 1534 Bin 1197 of 1534 Bin 1198 of 1534 Bin 1199 of 1534 Bin 1200 of 1534 Bin 1201 of 1534 Bin 1202 of 1534 Bin 1203 of 1534 Bin 1204 of 1534 Bin 1205 of 1534 Bin 1206 of 1534 Bin 1207 of 1534 Bin 1208 of 1534 Bin 1209 of 1534 Bin 1210 of 1534 Bin 1211 of 1534 Bin 1212 of 1534 Bin 1213 of 1534 Bin 1214 of 1534 Bin 1215 of 1534 Bin 1216 of 1534 Bin 1217 of 1534 Bin 1218 of 1534 Bin 1219 of 1534 Bin 1220 of 1534 Bin 1221 of 1534 Bin 1222 of 1534 Bin 1223 of 1534 Bin 1224 of 1534 Bin 1225 of 1534 Bin 1226 of 1534 Bin 1227 of 1534 Bin 1228 of 1534 Bin 1229 of 1534 Bin 1230 of 1534 Bin 1231 of 1534 Bin 1232 of 1534 Bin 1233 of 1534 Bin 1234 of 1534 Bin 1235 of 1534 Bin 1236 of 1534 Bin 1237 of 1534 Bin 1238 of 1534 Bin 1239 of 1534 Bin 1240 of 1534 Bin 1241 of 1534 Bin 1242 of 1534 Bin 1243 of 1534 Bin 1244 of 1534 Bin 1245 of 1534 Bin 1246 of 1534 Bin 1247 of 1534 Bin 1248 of 1534 Bin 1249 of 1534 Bin 1250 of 1534 Bin 1251 of 1534 Bin 1252 of 1534 Bin 1253 of 1534 Bin 1254 of 1534 Bin 1255 of 1534 Bin 1256 of 1534 Bin 1257 of 1534 Bin 1258 of 1534 Bin 1259 of 1534 Bin 1260 of 1534 Bin 1261 of 1534 Bin 1262 of 1534 Bin 1263 of 1534 Bin 1264 of 1534 Bin 1265 of 1534 Bin 1266 of 1534 Bin 1267 of 1534 Bin 1268 of 1534 Bin 1269 of 1534 Bin 1270 of 1534 Bin 1271 of 1534 Bin 1272 of 1534 Bin 1273 of 1534 Bin 1274 of 1534 Bin 1275 of 1534 Bin 1276 of 1534 Bin 1277 of 1534 Bin 1278 of 1534 Bin 1279 of 1534 Bin 1280 of 1534 Bin 1281 of 1534 Bin 1282 of 1534 Bin 1283 of 1534 Bin 1284 of 1534 Bin 1285 of 1534 Bin 1286 of 1534 Bin 1287 of 1534 Bin 1288 of 1534 Bin 1289 of 1534 Bin 1290 of 1534 Bin 1291 of 1534 Bin 1292 of 1534 Bin 1293 of 1534 Bin 1294 of 1534 Bin 1295 of 1534 Bin 1296 of 1534 Bin 1297 of 1534 Bin 1298 of 1534 Bin 1299 of 1534 Bin 1300 of 1534 Bin 1301 of 1534 Bin 1302 of 1534 Bin 1303 of 1534 Bin 1304 of 1534 Bin 1305 of 1534 Bin 1306 of 1534 Bin 1307 of 1534 Bin 1308 of 1534 Bin 1309 of 1534 Bin 1310 of 1534 Bin 1311 of 1534 Bin 1312 of 1534 Bin 1313 of 1534 Bin 1314 of 1534 Bin 1315 of 1534 Bin 1316 of 1534 Bin 1317 of 1534 Bin 1318 of 1534 Bin 1319 of 1534 Bin 1320 of 1534 Bin 1321 of 1534 Bin 1322 of 1534 Bin 1323 of 1534 Bin 1324 of 1534 Bin 1325 of 1534 Bin 1326 of 1534 Bin 1327 of 1534 Bin 1328 of 1534 Bin 1329 of 1534 Bin 1330 of 1534 Bin 1331 of 1534 Bin 1332 of 1534 Bin 1333 of 1534 Bin 1334 of 1534 Bin 1335 of 1534 Bin 1336 of 1534 Bin 1337 of 1534 Bin 1338 of 1534 Bin 1339 of 1534 Bin 1340 of 1534 Bin 1341 of 1534 Bin 1342 of 1534 Bin 1343 of 1534 Bin 1344 of 1534 Bin 1345 of 1534 Bin 1346 of 1534 Bin 1347 of 1534 Bin 1348 of 1534 Bin 1349 of 1534 Bin 1350 of 1534 Bin 1351 of 1534 Bin 1352 of 1534 Bin 1353 of 1534 Bin 1354 of 1534 Bin 1355 of 1534 Bin 1356 of 1534 Bin 1357 of 1534 Bin 1358 of 1534 Bin 1359 of 1534 Bin 1360 of 1534 Bin 1361 of 1534 Bin 1362 of 1534 Bin 1363 of 1534 Bin 1364 of 1534 Bin 1365 of 1534 Bin 1366 of 1534 Bin 1367 of 1534 Bin 1368 of 1534 Bin 1369 of 1534 Bin 1370 of 1534 Bin 1371 of 1534 Bin 1372 of 1534 Bin 1373 of 1534 Bin 1374 of 1534 Bin 1375 of 1534 Bin 1376 of 1534 Bin 1377 of 1534 Bin 1378 of 1534 Bin 1379 of 1534 Bin 1380 of 1534 Bin 1381 of 1534 Bin 1382 of 1534 Bin 1383 of 1534 Bin 1384 of 1534 Bin 1385 of 1534 Bin 1386 of 1534 Bin 1387 of 1534 Bin 1388 of 1534 Bin 1389 of 1534 Bin 1390 of 1534 Bin 1391 of 1534 Bin 1392 of 1534 Bin 1393 of 1534 Bin 1394 of 1534 Bin 1395 of 1534 Bin 1396 of 1534 Bin 1397 of 1534 Bin 1398 of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034755.fit: Median sky-residual chi2 = 2.31601 SKYSUBTRACT: sdR-b2-00034755.fit: Max sky-residual chi2 = 6.64070 QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 7 = -38.3471 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 14 = -43.9855 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 19 = -27.5210 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 53 = -33.1465 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 64 = -34.9203 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 83 = -35.3283 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 85 = -52.1815 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 110 = -36.5668 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 115 = -35.8098 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 132 = -21.5304 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 154 = 11.2068 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 177 = 18.3200 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 181 = 19.6763 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 185 = 28.9405 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 186 = 17.2178 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 187 = 17.8649 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 214 = 38.5067 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 258 = 14.0844 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 261 = 14.2433 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 262 = 19.0651 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 285 = 11.2763 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 309 = 26.8659 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Median sky-residual chi = 1.55029 QAPLOT_SKYSUB: sdR-b2-00034755.fit: Max sky-residual chi = 3.94957 at 6175.7864 Ang SKYSUBTRACT: sdR-b2-00034755.fit: Number of sky fibers = 30 SKYSUBTRACT: sdR-b2-00034755.fit: Airmass range = 1.21605 1.25845 SKYSUBTRACT: sdR-b2-00034755.fit: Discarding 0.00174154 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 1534 Bin 1 of 1534 Bin 2 of 1534 Bin 3 of 1534 Bin 4 of 1534 Bin 5 of 1534 Bin 6 of 1534 Bin 7 of 1534 Bin 8 of 1534 Bin 9 of 1534 Bin 10 of 1534 Bin 11 of 1534 Bin 12 of 1534 Bin 13 of 1534 Bin 14 of 1534 Bin 15 of 1534 Bin 16 of 1534 Bin 17 of 1534 Bin 18 of 1534 Bin 19 of 1534 Bin 20 of 1534 Bin 21 of 1534 Bin 22 of 1534 Bin 23 of 1534 Bin 24 of 1534 Bin 25 of 1534 Bin 26 of 1534 Bin 27 of 1534 Bin 28 of 1534 Bin 29 of 1534 Bin 30 of 1534 Bin 31 of 1534 Bin 32 of 1534 Bin 33 of 1534 Bin 34 of 1534 Bin 35 of 1534 Bin 36 of 1534 Bin 37 of 1534 Bin 38 of 1534 Bin 39 of 1534 Bin 40 of 1534 Bin 41 of 1534 Bin 42 of 1534 Bin 43 of 1534 Bin 44 of 1534 Bin 45 of 1534 Bin 46 of 1534 Bin 47 of 1534 Bin 48 of 1534 Bin 49 of 1534 Bin 50 of 1534 Bin 51 of 1534 Bin 52 of 1534 Bin 53 of 1534 Bin 54 of 1534 Bin 55 of 1534 Bin 56 of 1534 Bin 57 of 1534 Bin 58 of 1534 Bin 59 of 1534 Bin 60 of 1534 Bin 61 of 1534 Bin 62 of 1534 Bin 63 of 1534 Bin 64 of 1534 Bin 65 of 1534 Bin 66 of 1534 Bin 67 of 1534 Bin 68 of 1534 Bin 69 of 1534 Bin 70 of 1534 Bin 71 of 1534 Bin 72 of 1534 Bin 73 of 1534 Bin 74 of 1534 Bin 75 of 1534 Bin 76 of 1534 Bin 77 of 1534 Bin 78 of 1534 Bin 79 of 1534 Bin 80 of 1534 Bin 81 of 1534 Bin 82 of 1534 Bin 83 of 1534 Bin 84 of 1534 Bin 85 of 1534 Bin 86 of 1534 Bin 87 of 1534 Bin 88 of 1534 Bin 89 of 1534 Bin 90 of 1534 Bin 91 of 1534 Bin 92 of 1534 Bin 93 of 1534 Bin 94 of 1534 Bin 95 of 1534 Bin 96 of 1534 Bin 97 of 1534 Bin 98 of 1534 Bin 99 of 1534 Bin 100 of 1534 Bin 101 of 1534 Bin 102 of 1534 Bin 103 of 1534 Bin 104 of 1534 Bin 105 of 1534 Bin 106 of 1534 Bin 107 of 1534 Bin 108 of 1534 Bin 109 of 1534 Bin 110 of 1534 Bin 111 of 1534 Bin 112 of 1534 Bin 113 of 1534 Bin 114 of 1534 Bin 115 of 1534 Bin 116 of 1534 Bin 117 of 1534 Bin 118 of 1534 Bin 119 of 1534 Bin 120 of 1534 Bin 121 of 1534 Bin 122 of 1534 Bin 123 of 1534 Bin 124 of 1534 Bin 125 of 1534 Bin 126 of 1534 Bin 127 of 1534 Bin 128 of 1534 Bin 129 of 1534 Bin 130 of 1534 Bin 131 of 1534 Bin 132 of 1534 Bin 133 of 1534 Bin 134 of 1534 Bin 135 of 1534 Bin 136 of 1534 Bin 137 of 1534 Bin 138 of 1534 Bin 139 of 1534 Bin 140 of 1534 Bin 141 of 1534 Bin 142 of 1534 Bin 143 of 1534 Bin 144 of 1534 Bin 145 of 1534 Bin 146 of 1534 Bin 147 of 1534 Bin 148 of 1534 Bin 149 of 1534 Bin 150 of 1534 Bin 151 of 1534 Bin 152 of 1534 Bin 153 of 1534 Bin 154 of 1534 Bin 155 of 1534 Bin 156 of 1534 Bin 157 of 1534 Bin 158 of 1534 Bin 159 of 1534 Bin 160 of 1534 Bin 161 of 1534 Bin 162 of 1534 Bin 163 of 1534 Bin 164 of 1534 Bin 165 of 1534 Bin 166 of 1534 Bin 167 of 1534 Bin 168 of 1534 Bin 169 of 1534 Bin 170 of 1534 Bin 171 of 1534 Bin 172 of 1534 Bin 173 of 1534 Bin 174 of 1534 Bin 175 of 1534 Bin 176 of 1534 Bin 177 of 1534 Bin 178 of 1534 Bin 179 of 1534 Bin 180 of 1534 Bin 181 of 1534 Bin 182 of 1534 Bin 183 of 1534 Bin 184 of 1534 Bin 185 of 1534 Bin 186 of 1534 Bin 187 of 1534 Bin 188 of 1534 Bin 189 of 1534 Bin 190 of 1534 Bin 191 of 1534 Bin 192 of 1534 Bin 193 of 1534 Bin 194 of 1534 Bin 195 of 1534 Bin 196 of 1534 Bin 197 of 1534 Bin 198 of 1534 Bin 199 of 1534 Bin 200 of 1534 Bin 201 of 1534 Bin 202 of 1534 Bin 203 of 1534 Bin 204 of 1534 Bin 205 of 1534 Bin 206 of 1534 Bin 207 of 1534 Bin 208 of 1534 Bin 209 of 1534 Bin 210 of 1534 Bin 211 of 1534 Bin 212 of 1534 Bin 213 of 1534 Bin 214 of 1534 Bin 215 of 1534 Bin 216 of 1534 Bin 217 of 1534 Bin 218 of 1534 Bin 219 of 1534 Bin 220 of 1534 Bin 221 of 1534 Bin 222 of 1534 Bin 223 of 1534 Bin 224 of 1534 Bin 225 of 1534 Bin 226 of 1534 Bin 227 of 1534 Bin 228 of 1534 Bin 229 of 1534 Bin 230 of 1534 Bin 231 of 1534 Bin 232 of 1534 Bin 233 of 1534 Bin 234 of 1534 Bin 235 of 1534 Bin 236 of 1534 Bin 237 of 1534 Bin 238 of 1534 Bin 239 of 1534 Bin 240 of 1534 Bin 241 of 1534 Bin 242 of 1534 Bin 243 of 1534 Bin 244 of 1534 Bin 245 of 1534 Bin 246 of 1534 Bin 247 of 1534 Bin 248 of 1534 Bin 249 of 1534 Bin 250 of 1534 Bin 251 of 1534 Bin 252 of 1534 Bin 253 of 1534 Bin 254 of 1534 Bin 255 of 1534 Bin 256 of 1534 Bin 257 of 1534 Bin 258 of 1534 Bin 259 of 1534 Bin 260 of 1534 Bin 261 of 1534 Bin 262 of 1534 Bin 263 of 1534 Bin 264 of 1534 Bin 265 of 1534 Bin 266 of 1534 Bin 267 of 1534 Bin 268 of 1534 Bin 269 of 1534 Bin 270 of 1534 Bin 271 of 1534 Bin 272 of 1534 Bin 273 of 1534 Bin 274 of 1534 Bin 275 of 1534 Bin 276 of 1534 Bin 277 of 1534 Bin 278 of 1534 Bin 279 of 1534 Bin 280 of 1534 Bin 281 of 1534 Bin 282 of 1534 Bin 283 of 1534 Bin 284 of 1534 Bin 285 of 1534 Bin 286 of 1534 Bin 287 of 1534 Bin 288 of 1534 Bin 289 of 1534 Bin 290 of 1534 Bin 291 of 1534 Bin 292 of 1534 Bin 293 of 1534 Bin 294 of 1534 Bin 295 of 1534 Bin 296 of 1534 Bin 297 of 1534 Bin 298 of 1534 Bin 299 of 1534 Bin 300 of 1534 Bin 301 of 1534 Bin 302 of 1534 Bin 303 of 1534 Bin 304 of 1534 Bin 305 of 1534 Bin 306 of 1534 Bin 307 of 1534 Bin 308 of 1534 Bin 309 of 1534 Bin 310 of 1534 Bin 311 of 1534 Bin 312 of 1534 Bin 313 of 1534 Bin 314 of 1534 Bin 315 of 1534 Bin 316 of 1534 Bin 317 of 1534 Bin 318 of 1534 Bin 319 of 1534 Bin 320 of 1534 Bin 321 of 1534 Bin 322 of 1534 Bin 323 of 1534 Bin 324 of 1534 Bin 325 of 1534 Bin 326 of 1534 Bin 327 of 1534 Bin 328 of 1534 Bin 329 of 1534 Bin 330 of 1534 Bin 331 of 1534 Bin 332 of 1534 Bin 333 of 1534 Bin 334 of 1534 Bin 335 of 1534 Bin 336 of 1534 Bin 337 of 1534 Bin 338 of 1534 Bin 339 of 1534 Bin 340 of 1534 Bin 341 of 1534 Bin 342 of 1534 Bin 343 of 1534 Bin 344 of 1534 Bin 345 of 1534 Bin 346 of 1534 Bin 347 of 1534 Bin 348 of 1534 Bin 349 of 1534 Bin 350 of 1534 Bin 351 of 1534 Bin 352 of 1534 Bin 353 of 1534 Bin 354 of 1534 Bin 355 of 1534 Bin 356 of 1534 Bin 357 of 1534 Bin 358 of 1534 Bin 359 of 1534 Bin 360 of 1534 Bin 361 of 1534 Bin 362 of 1534 Bin 363 of 1534 Bin 364 of 1534 Bin 365 of 1534 Bin 366 of 1534 Bin 367 of 1534 Bin 368 of 1534 Bin 369 of 1534 Bin 370 of 1534 Bin 371 of 1534 Bin 372 of 1534 Bin 373 of 1534 Bin 374 of 1534 Bin 375 of 1534 Bin 376 of 1534 Bin 377 of 1534 Bin 378 of 1534 Bin 379 of 1534 Bin 380 of 1534 Bin 381 of 1534 Bin 382 of 1534 Bin 383 of 1534 Bin 384 of 1534 Bin 385 of 1534 Bin 386 of 1534 Bin 387 of 1534 Bin 388 of 1534 Bin 389 of 1534 Bin 390 of 1534 Bin 391 of 1534 Bin 392 of 1534 Bin 393 of 1534 Bin 394 of 1534 Bin 395 of 1534 Bin 396 of 1534 Bin 397 of 1534 Bin 398 of 1534 Bin 399 of 1534 Bin 400 of 1534 Bin 401 of 1534 Bin 402 of 1534 Bin 403 of 1534 Bin 404 of 1534 Bin 405 of 1534 Bin 406 of 1534 Bin 407 of 1534 Bin 408 of 1534 Bin 409 of 1534 Bin 410 of 1534 Bin 411 of 1534 Bin 412 of 1534 Bin 413 of 1534 Bin 414 of 1534 Bin 415 of 1534 Bin 416 of 1534 Bin 417 of 1534 Bin 418 of 1534 Bin 419 of 1534 Bin 420 of 1534 Bin 421 of 1534 Bin 422 of 1534 Bin 423 of 1534 Bin 424 of 1534 Bin 425 of 1534 Bin 426 of 1534 Bin 427 of 1534 Bin 428 of 1534 Bin 429 of 1534 Bin 430 of 1534 Bin 431 of 1534 Bin 432 of 1534 Bin 433 of 1534 Bin 434 of 1534 Bin 435 of 1534 Bin 436 of 1534 Bin 437 of 1534 Bin 438 of 1534 Bin 439 of 1534 Bin 440 of 1534 Bin 441 of 1534 Bin 442 of 1534 Bin 443 of 1534 Bin 444 of 1534 Bin 445 of 1534 Bin 446 of 1534 Bin 447 of 1534 Bin 448 of 1534 Bin 449 of 1534 Bin 450 of 1534 Bin 451 of 1534 Bin 452 of 1534 Bin 453 of 1534 Bin 454 of 1534 Bin 455 of 1534 Bin 456 of 1534 Bin 457 of 1534 Bin 458 of 1534 Bin 459 of 1534 Bin 460 of 1534 Bin 461 of 1534 Bin 462 of 1534 Bin 463 of 1534 Bin 464 of 1534 Bin 465 of 1534 Bin 466 of 1534 Bin 467 of 1534 Bin 468 of 1534 Bin 469 of 1534 Bin 470 of 1534 Bin 471 of 1534 Bin 472 of 1534 Bin 473 of 1534 Bin 474 of 1534 Bin 475 of 1534 Bin 476 of 1534 Bin 477 of 1534 Bin 478 of 1534 Bin 479 of 1534 Bin 480 of 1534 Bin 481 of 1534 Bin 482 of 1534 Bin 483 of 1534 Bin 484 of 1534 Bin 485 of 1534 Bin 486 of 1534 Bin 487 of 1534 Bin 488 of 1534 Bin 489 of 1534 Bin 490 of 1534 Bin 491 of 1534 Bin 492 of 1534 Bin 493 of 1534 Bin 494 of 1534 Bin 495 of 1534 Bin 496 of 1534 Bin 497 of 1534 Bin 498 of 1534 Bin 499 of 1534 Bin 500 of 1534 Bin 501 of 1534 Bin 502 of 1534 Bin 503 of 1534 Bin 504 of 1534 Bin 505 of 1534 Bin 506 of 1534 Bin 507 of 1534 Bin 508 of 1534 Bin 509 of 1534 Bin 510 of 1534 Bin 511 of 1534 Bin 512 of 1534 Bin 513 of 1534 Bin 514 of 1534 Bin 515 of 1534 Bin 516 of 1534 Bin 517 of 1534 Bin 518 of 1534 Bin 519 of 1534 Bin 520 of 1534 Bin 521 of 1534 Bin 522 of 1534 Bin 523 of 1534 Bin 524 of 1534 Bin 525 of 1534 Bin 526 of 1534 Bin 527 of 1534 Bin 528 of 1534 Bin 529 of 1534 Bin 530 of 1534 Bin 531 of 1534 Bin 532 of 1534 Bin 533 of 1534 Bin 534 of 1534 Bin 535 of 1534 Bin 536 of 1534 Bin 537 of 1534 Bin 538 of 1534 Bin 539 of 1534 Bin 540 of 1534 Bin 541 of 1534 Bin 542 of 1534 Bin 543 of 1534 Bin 544 of 1534 Bin 545 of 1534 Bin 546 of 1534 Bin 547 of 1534 Bin 548 of 1534 Bin 549 of 1534 Bin 550 of 1534 Bin 551 of 1534 Bin 552 of 1534 Bin 553 of 1534 Bin 554 of 1534 Bin 555 of 1534 Bin 556 of 1534 Bin 557 of 1534 Bin 558 of 1534 Bin 559 of 1534 Bin 560 of 1534 Bin 561 of 1534 Bin 562 of 1534 Bin 563 of 1534 Bin 564 of 1534 Bin 565 of 1534 Bin 566 of 1534 Bin 567 of 1534 Bin 568 of 1534 Bin 569 of 1534 Bin 570 of 1534 Bin 571 of 1534 Bin 572 of 1534 Bin 573 of 1534 Bin 574 of 1534 Bin 575 of 1534 Bin 576 of 1534 Bin 577 of 1534 Bin 578 of 1534 Bin 579 of 1534 Bin 580 of 1534 Bin 581 of 1534 Bin 582 of 1534 Bin 583 of 1534 Bin 584 of 1534 Bin 585 of 1534 Bin 586 of 1534 Bin 587 of 1534 Bin 588 of 1534 Bin 589 of 1534 Bin 590 of 1534 Bin 591 of 1534 Bin 592 of 1534 Bin 593 of 1534 Bin 594 of 1534 Bin 595 of 1534 Bin 596 of 1534 Bin 597 of 1534 Bin 598 of 1534 Bin 599 of 1534 Bin 600 of 1534 Bin 601 of 1534 Bin 602 of 1534 Bin 603 of 1534 Bin 604 of 1534 Bin 605 of 1534 Bin 606 of 1534 Bin 607 of 1534 Bin 608 of 1534 Bin 609 of 1534 Bin 610 of 1534 Bin 611 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of 1534 Bin 1399 of 1534 Bin 1400 of 1534 Bin 1401 of 1534 Bin 1402 of 1534 Bin 1403 of 1534 Bin 1404 of 1534 Bin 1405 of 1534 Bin 1406 of 1534 Bin 1407 of 1534 Bin 1408 of 1534 Bin 1409 of 1534 Bin 1410 of 1534 Bin 1411 of 1534 Bin 1412 of 1534 Bin 1413 of 1534 Bin 1414 of 1534 Bin 1415 of 1534 Bin 1416 of 1534 Bin 1417 of 1534 Bin 1418 of 1534 Bin 1419 of 1534 Bin 1420 of 1534 Bin 1421 of 1534 Bin 1422 of 1534 Bin 1423 of 1534 Bin 1424 of 1534 Bin 1425 of 1534 Bin 1426 of 1534 Bin 1427 of 1534 Bin 1428 of 1534 Bin 1429 of 1534 Bin 1430 of 1534 Bin 1431 of 1534 Bin 1432 of 1534 Bin 1433 of 1534 Bin 1434 of 1534 Bin 1435 of 1534 Bin 1436 of 1534 Bin 1437 of 1534 Bin 1438 of 1534 Bin 1439 of 1534 Bin 1440 of 1534 Bin 1441 of 1534 Bin 1442 of 1534 Bin 1443 of 1534 Bin 1444 of 1534 Bin 1445 of 1534 Bin 1446 of 1534 Bin 1447 of 1534 Bin 1448 of 1534 Bin 1449 of 1534 Bin 1450 of 1534 Bin 1451 of 1534 Bin 1452 of 1534 Bin 1453 of 1534 Bin 1454 of 1534 Bin 1455 of 1534 Bin 1456 of 1534 Bin 1457 of 1534 Bin 1458 of 1534 Bin 1459 of 1534 Bin 1460 of 1534 Bin 1461 of 1534 Bin 1462 of 1534 Bin 1463 of 1534 Bin 1464 of 1534 Bin 1465 of 1534 Bin 1466 of 1534 Bin 1467 of 1534 Bin 1468 of 1534 Bin 1469 of 1534 Bin 1470 of 1534 Bin 1471 of 1534 Bin 1472 of 1534 Bin 1473 of 1534 Bin 1474 of 1534 Bin 1475 of 1534 Bin 1476 of 1534 Bin 1477 of 1534 Bin 1478 of 1534 Bin 1479 of 1534 Bin 1480 of 1534 Bin 1481 of 1534 Bin 1482 of 1534 Bin 1483 of 1534 Bin 1484 of 1534 Bin 1485 of 1534 Bin 1486 of 1534 Bin 1487 of 1534 Bin 1488 of 1534 Bin 1489 of 1534 Bin 1490 of 1534 Bin 1491 of 1534 Bin 1492 of 1534 Bin 1493 of 1534 Bin 1494 of 1534 Bin 1495 of 1534 Bin 1496 of 1534 Bin 1497 of 1534 Bin 1498 of 1534 Bin 1499 of 1534 Bin 1500 of 1534 Bin 1501 of 1534 Bin 1502 of 1534 Bin 1503 of 1534 Bin 1504 of 1534 Bin 1505 of 1534 Bin 1506 of 1534 Bin 1507 of 1534 Bin 1508 of 1534 Bin 1509 of 1534 Bin 1510 of 1534 Bin 1511 of 1534 Bin 1512 of 1534 Bin 1513 of 1534 Bin 1514 of 1534 Bin 1515 of 1534 Bin 1516 of 1534 Bin 1517 of 1534 Bin 1518 of 1534 Bin 1519 of 1534 Bin 1520 of 1534 Bin 1521 of 1534 Bin 1522 of 1534 Bin 1523 of 1534 Bin 1524 of 1534 Bin 1525 of 1534 Bin 1526 of 1534 Bin 1527 of 1534 Bin 1528 of 1534 Bin 1529 of 1534 Bin 1530 of 1534 Bin 1531 of 1534 Bin 1532 of 1534 Bin 1533 of 1534 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-b2-00034755.fit: Median sky-residual chi2 = 1.75101 SKYSUBTRACT: sdR-b2-00034755.fit: Max sky-residual chi2 = 4.89242 QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 1 = 43.0482 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 14 = -14.6464 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 27 = 25.2004 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 53 = -13.7381 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 64 = -16.9273 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 83 = -21.6629 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 85 = -38.8583 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 110 = -27.8993 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 115 = -28.3964 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 132 = -16.5798 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 154 = 11.3542 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 177 = 14.7323 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 181 = 15.4767 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 185 = 23.8835 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 186 = 12.6073 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 187 = 13.4446 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 214 = 29.9530 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 282 = -12.4199 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Warning: Median sky-sub flux in sky fiber 308 = -14.3783 electrons QAPLOT_SKYSUB: sdR-b2-00034755.fit: Median sky-residual chi = 1.33062 QAPLOT_SKYSUB: sdR-b2-00034755.fit: Max sky-residual chi = 2.85752 at 6165.3319 Ang % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge after 20 iterations. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. % CURVEFIT: Failed to converge- CHISQ increasing without bound. QAPLOT_SKYLINE: sdR-b2-00034755.fit: Airmass range = 1.22 1.26 QAPLOT_SKYLINE: sdR-b2-00034755.fit: Flux dispersion for skyline 4359.5 = 9.02 % QAPLOT_SKYLINE: sdR-b2-00034755.fit: Airmass range = 1.22 1.26 QAPLOT_SKYLINE: sdR-b2-00034755.fit: Flux dispersion for skyline 5578.9 = 2.67 % SPADD_GUIDERINFO: sdR-b2-00034755.fit: Number of guider frames = 11 SPREDUCE: sdR-b2-00034755.fit: Elapsed time = 184. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*8 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 1258. seconds SPREDUCE2D: Time to reduce camera b2 = 1258. seconds READPLUGMAP: r1: Rescaling SCI_EXPTIME values by 240.10000 READPLUGMAP: r1: Adding fields from calibObj file READPLUGMAP: r1: LIED about EBV. Set to 0.3 PLUG2TSOBJ: r1: WARNING: calibObj file not found for plate 2338 READPLUGMAP: r1: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: r1: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: r1: Number of missing fibers: 3 SPCALIB: r1: Tracing flat # 1 of 2 SPCALIB: r1: Reading flat sdR-r1-00034750.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opECalib-51577.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.99561 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1182.81 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.68022 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1233.13 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1213. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Tracing 320 fibers in sdR-r1-00034750.fit TRACE320CEN: r1: Big gap at fiber= 20, x= 149.82, dx= 7.96 TRACE320CEN: r1: Big gap at fiber= 40, x= 276.71, dx= 8.19 TRACE320CEN: r1: Big gap at fiber= 60, x= 402.46, dx= 7.58 TRACE320CEN: r1: Big gap at fiber= 80, x= 528.99, dx= 8.70 TRACE320CEN: r1: Big gap at fiber= 100, x= 654.20, dx= 7.95 TRACE320CEN: r1: Big gap at fiber= 120, x= 779.84, dx= 8.56 TRACE320CEN: r1: Big gap at fiber= 140, x= 904.93, dx= 8.47 TRACE320CEN: r1: Big gap at fiber= 160, x=1029.48, dx= 7.95 TRACE320CEN: r1: Big gap at fiber= 180, x=1154.90, dx= 8.78 TRACE320CEN: r1: Big gap at fiber= 200, x=1279.93, dx= 7.77 TRACE320CEN: r1: Big gap at fiber= 220, x=1405.66, dx= 8.57 TRACE320CEN: r1: Big gap at fiber= 260, x=1657.09, dx= 8.37 TRACE320CEN: r1: Big gap at fiber= 280, x=1783.22, dx= 7.88 TRACE320CEN: r1: Big gap at fiber= 300, x=1910.48, dx= 8.42 TRACE320CRUDE: r1: Warning: Fixing traces: 11 45 90 98 103 145 173 174 187 188 216 249 251 268 269 294 297 298 305 316 SPCALIB: r1: Fitting traces in sdR-r1-00034750.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 38 13 2048 40 14 2048 4 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 22 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 44 45 2048 0 46 2048 11 47 2048 12 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 3 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 5 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 4 98 2048 0 99 2048 52 100 2048 82 101 2048 0 102 2048 0 103 2048 0 104 2048 48 105 2048 26 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 16 137 2048 106 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 15 145 2048 0 146 2048 59 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 3 172 2048 4 173 2048 0 174 2048 0 175 2048 8 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 2 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 1 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 26 248 2048 55 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 2 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 8 267 2048 26 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 16 304 2048 45 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 783 SPCALIB: r1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 2 1.00 1.50 .0001 2 1.00 1.27 .0002 2 1.00 1.22 .0003 2 1.00 1.32 .0004 2 1.00 1.30 .0005 2 1.00 1.28 .0006 2 1.00 1.22 .0007 2 1.00 1.35 .0008 2 1.00 1.37 .0009 2 1.00 1.30 .0010 2 1.00 1.27 .0011 2 1.00 1.32 .0012 2 1.00 1.32 .0013 2 1.00 1.39 .0014 2 1.00 1.46 .0015 2 1.00 1.44 .0016 2 1.00 1.33 .0017 2 1.00 1.38 .0018 3 1.00 1.36 .0019 2 1.00 1.53 .0020 2 1.00 1.42 .0021 2 1.00 1.36 .0022 3 1.00 1.35 .0023 2 1.00 1.44 .0024 2 1.00 1.41 .0025 2 1.00 1.45 .0026 2 1.00 1.37 .0027 2 1.00 1.46 .0028 2 1.00 1.44 .0029 2 1.00 1.31 .0030 2 1.00 1.39 .0031 2 1.00 1.44 .0032 2 1.00 1.40 .0033 2 1.00 1.57 .0034 2 1.00 1.55 .0035 2 1.00 1.48 .0036 2 1.00 1.49 .0037 2 1.00 1.56 .0038 2 1.00 1.49 .0039 3 1.00 1.49 .0040 2 1.00 1.96 .0041 2 1.00 1.60 .0042 2 1.00 1.47 .0043 2 1.00 1.55 .0044 2 1.00 1.52 .0045 2 1.00 1.48 .0046 2 1.00 1.57 .0047 2 1.00 1.53 .0048 2 1.00 1.74 .0049 2 1.00 1.60 .0050 2 1.00 1.67 .0051 2 1.00 1.72 .0052 2 1.00 1.55 .0053 2 1.00 1.47 .0054 2 1.00 1.53 .0055 2 1.00 1.65 .0056 2 1.00 1.49 .0057 2 1.00 1.68 .0058 2 1.00 1.76 .0059 3 1.00 1.54 .0060 2 1.00 1.65 .0061 2 1.00 1.71 .0062 3 1.00 1.58 .0063 3 1.00 1.61 .0064 1 1.00 1.88 .0065 2 1.00 1.48 .0066 1 1.00 1.89 .0067 1 1.00 1.69 .0068 1 1.00 2.07 .0069 1 1.00 1.86 .0070 1 1.00 1.75 .0071 1 1.00 1.73 .0072 1 1.00 1.73 .0073 1 1.00 1.70 .0074 1 1.00 1.78 .0075 1 1.00 1.73 .0076 1 1.00 1.68 .0077 1 1.00 1.76 .0078 2 1.00 1.67 .0079 1 1.00 1.67 .0080 1 1.00 1.77 .0081 1 1.00 1.61 .0082 1 1.00 1.61 .0083 1 1.00 1.60 .0084 1 1.00 1.70 .0085 1 1.00 1.70 .0086 1 1.00 1.67 .0087 1 1.00 1.55 .0088 1 1.00 1.71 .0089 1 1.00 1.63 .0090 1 1.00 1.64 .0091 1 1.00 1.60 .0092 1 1.00 1.56 .0093 1 1.00 1.66 .0094 1 1.00 1.65 .0095 1 1.00 1.53 .0096 1 1.00 1.59 .0097 1 1.00 1.59 .0098 1 1.00 1.62 .0099 1 1.00 1.55 .0100 1 1.00 1.67 .0101 1 1.00 1.64 .0102 1 1.00 1.60 .0103 1 1.00 1.62 .0104 1 1.00 1.52 .0105 1 1.00 1.63 .0106 1 1.00 1.49 .0107 1 1.00 1.57 .0108 1 1.00 1.67 .0109 2 1.00 1.59 .0110 1 1.00 1.66 .0111 2 1.00 1.55 .0112 2 1.00 1.68 .0113 1 1.00 1.63 .0114 1 1.00 1.59 .0115 1 1.00 1.62 .0116 1 1.00 1.56 .0117 1 1.00 1.61 .0118 1 1.00 1.60 .0119 1 1.00 1.56 .0120 1 1.00 1.62 .0121 1 1.00 1.60 .0122 1 1.00 1.63 .0123 1 1.00 1.62 .0124 1 1.00 1.57 .0125 1 1.00 1.69 .0126 1 1.00 1.56 .0127 1 1.00 1.61 .0128 2 1.00 1.59 .0129 1 1.00 1.63 .0130 1 1.00 1.53 .0131 1 1.00 1.50 .0132 1 1.00 1.61 .0133 1 1.00 1.54 .0134 1 1.00 1.61 .0135 2 1.00 1.53 .0136 2 1.00 1.63 .0137 3 1.00 1.61 .0138 2 1.00 1.71 .0139 1 1.00 1.54 .0140 1 1.00 1.50 .0141 1 1.00 1.48 .0142 1 1.00 1.56 .0143 1 1.00 1.50 .0144 1 1.00 1.49 .0145 2 1.00 1.52 .0146 1 1.00 1.53 .0147 1 1.00 1.46 .0148 1 1.00 1.50 .0149 1 1.00 1.50 .0150 1 1.00 1.55 .0151 1 1.00 1.69 .0152 1 1.00 1.63 .0153 1 1.00 1.55 .0154 3 1.00 1.54 .0155 1 1.00 1.64 .0156 2 1.00 1.51 .0157 1 1.00 1.57 .0158 1 1.00 1.58 .0159 1 1.00 1.52 .0160 1 1.00 1.57 .0161 1 1.00 1.60 .0162 1 1.00 1.55 .0163 1 1.00 1.59 .0164 1 1.00 1.58 .0165 1 1.00 1.61 .0166 1 1.00 1.52 .0167 1 1.00 1.54 .0168 1 1.00 1.60 .0169 1 1.00 1.99 .0170 2 1.00 1.78 .0171 1 1.00 1.54 .0172 1 1.00 1.55 .0173 1 1.00 1.55 .0174 1 1.00 1.65 .0175 1 1.00 1.61 .0176 1 1.00 1.55 .0177 1 1.00 1.53 .0178 1 1.00 1.58 .0179 1 1.00 1.57 .0180 1 1.00 1.59 .0181 2 1.00 1.70 .0182 1 1.00 1.60 .0183 1 1.00 1.76 .0184 1 1.00 1.69 .0185 3 1.00 1.63 .0186 1 1.00 1.72 .0187 1 1.00 1.77 .0188 1 1.00 1.71 .0189 1 1.00 1.64 .0190 1 1.00 1.63 .0191 1 1.00 1.76 .0192 1 1.00 1.65 .0193 1 1.00 1.62 .0194 1 1.00 1.66 .0195 1 1.00 1.67 .0196 1 1.00 1.78 .0197 1 1.00 1.73 .0198 1 1.00 1.67 .0199 1 1.00 1.76 .0200 1 1.00 1.75 .0201 1 1.00 1.83 .0202 1 1.00 1.70 .0203 1 1.00 1.83 .0204 1 1.00 1.69 .0205 2 1.00 1.79 .0206 2 1.00 1.80 .0207 1 1.00 1.86 .0208 1 1.00 1.81 .0209 2 1.00 1.81 .0210 1 1.00 1.96 .0211 1 1.00 1.86 .0212 1 1.00 1.91 .0213 1 1.00 1.87 .0214 1 1.00 1.91 .0215 1 1.00 1.86 .0216 1 1.00 1.92 .0217 1 1.00 2.03 .0218 1 1.00 2.00 .0219 1 1.00 1.91 .0220 1 1.00 2.02 .0221 2 1.00 2.03 .0222 1 1.00 2.11 .0223 1 1.00 2.18 .0224 1 1.00 2.06 .0225 1 1.00 2.23 .0226 1 1.00 2.08 .0227 1 1.00 2.05 .0228 1 1.00 2.03 .0229 2 1.00 2.08 .0230 1 1.00 2.18 .0231 1 1.00 1.97 .0232 1 1.00 2.05 .0233 1 1.00 2.00 .0234 1 1.00 1.94 .0235 1 1.00 2.04 .0236 1 1.00 2.06 .0237 1 1.00 1.93 .0238 1 1.00 2.05 .0239 1 1.00 2.03 .0240 1 1.00 2.07 .0241 1 1.00 2.01 .0242 1 1.00 1.92 .0243 1 1.00 1.99 .0244 1 1.00 1.87 .0245 1 1.00 1.97 .0246 1 1.00 2.02 .0247 1 1.00 2.05 .0248 1 1.00 1.99 .0249 1 1.00 1.93 .0250 1 1.00 1.98 .0251 1 1.00 1.86 .0252 1 1.00 1.89 .0253 1 1.00 1.95 .0254 1 1.00 1.88 .0255 1 1.00 1.91 .0256 1 1.00 1.85 .0257 1 1.00 1.87 .0258 1 1.00 1.93 .0259 1 1.00 1.87 .0260 1 1.00 1.83 .0261 1 1.00 1.90 .0262 1 1.00 1.80 .0263 1 1.00 1.78 .0264 1 1.00 1.86 .0265 1 1.00 1.78 .0266 1 1.00 1.72 .0267 1 1.00 1.80 .0268 1 1.00 1.66 .0269 1 1.00 1.76 .0270 1 1.00 1.72 .0271 1 1.00 1.79 .0272 1 1.00 1.80 .0273 1 1.00 1.79 .0274 1 1.00 1.70 .0275 1 1.00 1.79 .0276 1 1.00 1.78 .0277 1 1.00 1.75 .0278 1 1.00 1.71 .0279 1 1.00 1.88 .0280 1 1.00 1.91 .0281 1 1.00 1.82 .0282 1 1.00 1.77 .0283 1 1.00 1.77 .0284 1 1.00 1.79 .0285 1 1.00 1.76 .0286 2 1.00 1.73 .0287 1 1.00 1.73 .0288 1 1.00 1.75 .0289 1 1.00 1.62 .0290 1 1.00 1.74 .0291 1 1.00 1.71 .0292 1 1.00 1.70 .0293 2 1.00 1.75 .0294 1 1.00 1.90 .0295 1 1.00 1.68 .0296 1 1.00 1.86 .0297 1 1.00 1.73 .0298 1 1.00 1.73 .0299 1 1.00 1.77 .0300 1 1.00 1.66 .0301 1 1.00 1.66 .0302 1 1.00 1.76 .0303 1 1.00 1.78 .0304 1 1.00 1.77 .0305 1 1.00 1.77 .0306 1 1.00 1.75 .0307 1 1.00 1.78 .0308 1 1.00 1.70 .0309 1 1.00 1.84 .0310 1 1.00 1.81 .0311 1 1.00 1.76 .0312 1 1.00 1.75 .0313 1 1.00 1.64 .0314 1 1.00 2.03 .0315 2 1.00 1.78 .0316 1 1.00 1.85 .0317 1 1.00 1.72 .0318 1 1.00 1.82 .0319 1 1.00 1.70 .0320 1 1.00 1.78 .0321 1 1.00 1.68 .0322 1 1.00 1.61 .0323 1 1.00 1.81 .0324 1 1.00 1.82 .0325 1 1.00 1.92 .0326 1 1.00 1.73 .0327 1 1.00 1.75 .0328 1 1.00 1.81 .0329 1 1.00 1.88 .0330 1 1.00 1.82 .0331 1 1.00 1.91 .0332 1 1.00 1.77 .0333 1 1.00 1.78 .0334 1 1.00 1.97 .0335 1 1.00 1.95 .0336 1 1.00 1.78 .0337 1 1.00 1.80 .0338 1 1.00 1.76 .0339 1 1.00 1.77 .0340 1 1.00 1.82 .0341 1 1.00 1.76 .0342 1 1.00 1.83 .0343 1 1.00 1.88 .0344 1 1.00 1.80 .0345 1 1.00 1.84 .0346 1 1.00 1.84 .0347 1 1.00 1.81 .0348 1 1.00 1.79 .0349 1 1.00 1.83 .0350 1 1.00 1.89 .0351 2 1.00 1.79 .0352 2 1.00 1.86 .0353 2 1.00 1.77 .0354 1 1.00 1.84 .0355 1 1.00 1.81 .0356 1 1.00 1.84 .0357 1 1.00 2.04 .0358 2 1.00 2.20 .0359 1 1.00 1.99 .0360 1 1.00 1.82 .0361 1 1.00 1.86 .0362 1 1.00 1.75 .0363 1 1.00 1.86 .0364 1 1.00 1.69 .0365 1 1.00 2.00 .0366 1 1.00 1.72 .0367 1 1.00 1.63 .0368 1 1.00 1.79 .0369 1 1.00 1.73 .0370 1 1.00 1.74 .0371 1 1.00 1.83 .0372 1 1.00 1.71 .0373 1 1.00 1.73 .0374 1 1.00 1.73 .0375 1 1.00 1.69 .0376 1 1.00 1.68 .0377 1 1.00 1.77 .0378 1 1.00 1.68 .0379 1 1.00 1.80 .0380 1 1.00 1.74 .0381 1 1.00 1.79 .0382 2 1.00 1.92 .0383 1 1.00 1.73 .0384 1 1.00 1.71 .0385 1 1.00 1.70 .0386 1 1.00 1.73 .0387 1 1.00 1.80 .0388 1 1.00 1.76 .0389 1 1.00 1.71 .0390 1 1.00 1.66 .0391 1 1.00 1.72 .0392 1 1.00 1.67 .0393 1 1.00 1.71 .0394 2 1.00 1.82 .0395 5 1.00 1.65 .0396 2 1.00 1.62 .0397 2 1.00 1.73 .0398 2 1.00 1.64 .0399 2 1.00 1.70 .0400 2 1.00 1.68 .0401 2 1.00 1.68 .0402 2 1.00 1.76 .0403 2 1.00 1.66 .0404 2 1.00 1.54 .0405 2 1.00 1.71 .0406 2 1.00 1.71 .0407 3 1.00 1.68 .0408 2 1.00 1.73 .0409 3 1.00 1.78 .0410 2 1.00 1.84 .0411 2 1.00 1.63 .0412 2 1.00 1.59 .0413 2 1.00 1.63 .0414 2 1.00 1.59 .0415 2 1.00 1.62 .0416 1 1.00 1.83 .0417 1 1.00 2.02 .0418 2 1.00 1.55 .0419 2 1.00 1.60 .0420 1 1.00 1.86 .0421 1 1.00 1.77 .0422 2 1.00 1.62 .0423 1 1.00 1.78 .0424 1 1.00 1.78 .0425 2 1.00 1.81 .0426 1 1.00 1.68 .0427 1 1.00 1.65 .0428 1 1.00 1.88 .0429 1 1.00 1.65 .0430 1 1.00 1.80 .0431 1 1.00 1.75 .0432 1 1.00 1.99 .0433 1 1.00 1.71 .0434 1 1.00 1.65 .0435 1 1.00 1.67 .0436 1 1.00 1.73 .0437 1 1.00 1.70 .0438 1 1.00 1.71 .0439 1 1.00 1.63 .0440 1 1.00 1.79 .0441 1 1.00 1.67 .0442 1 1.00 1.71 .0443 1 1.00 1.71 .0444 1 1.00 1.87 .0445 1 1.00 1.71 .0446 1 1.00 1.83 .0447 1 1.00 1.67 .0448 1 1.00 1.77 .0449 1 1.00 1.62 .0450 1 1.00 1.68 .0451 1 1.00 1.80 .0452 2 1.00 1.83 .0453 1 1.00 1.61 .0454 1 1.00 1.66 .0455 3 1.00 1.71 .0456 1 1.00 1.64 .0457 1 1.00 1.67 .0458 1 1.00 1.68 .0459 1 1.00 1.60 .0460 1 1.00 1.66 .0461 1 1.00 1.63 .0462 1 1.00 2.03 .0463 1 1.00 1.69 .0464 1 1.00 1.63 .0465 1 1.00 1.54 .0466 2 1.00 1.62 .0467 1 1.00 1.89 .0468 1 1.00 1.71 .0469 1 1.00 1.56 .0470 1 1.00 1.69 .0471 1 1.00 1.64 .0472 1 1.00 1.65 .0473 1 1.00 1.60 .0474 1 1.00 1.65 .0475 1 1.00 1.68 .0476 1 1.00 1.76 .0477 1 1.00 1.64 .0478 1 1.00 1.66 .0479 1 1.00 1.59 .0480 1 1.00 1.67 .0481 1 1.00 1.54 .0482 1 1.00 1.59 .0483 1 1.00 1.66 .0484 1 1.00 1.69 .0485 1 1.00 1.63 .0486 1 1.00 1.64 .0487 2 1.00 1.71 .0488 2 1.00 1.66 .0489 1 1.00 1.58 .0490 2 1.00 1.77 .0491 1 1.00 1.69 .0492 1 1.00 1.58 .0493 3 1.00 1.57 .0494 3 1.00 1.67 .0495 2 1.00 1.81 .0496 3 1.00 1.64 .0497 1 1.00 1.65 .0498 1 1.00 1.87 .0499 1 1.00 1.84 .0500 1 1.00 1.57 .0501 1 1.00 1.82 .0502 1 1.00 1.63 .0503 1 1.00 1.56 .0504 1 1.00 1.54 .0505 1 1.00 1.53 .0506 1 1.00 1.56 .0507 1 1.00 1.63 .0508 1 1.00 1.65 .0509 1 1.00 1.57 .0510 1 1.00 1.61 .0511 1 1.00 1.61 .0512 1 1.00 1.58 .0513 2 1.00 1.61 .0514 1 1.00 1.46 .0515 1 1.00 1.50 .0516 1 1.00 1.51 .0517 1 1.00 1.49 .0518 1 1.00 1.50 .0519 1 1.00 1.71 .0520 2 1.00 1.54 .0521 1 1.00 1.55 .0522 1 1.00 1.69 .0523 1 1.00 1.64 .0524 1 1.00 1.73 .0525 1 1.00 1.67 .0526 2 1.00 1.68 .0527 1 1.00 1.62 .0528 1 1.00 1.64 .0529 1 1.00 1.63 .0530 1 1.00 1.61 .0531 1 1.00 1.70 .0532 1 1.00 1.68 .0533 1 1.00 1.56 .0534 1 1.00 1.66 .0535 1 1.00 1.72 .0536 1 1.00 1.73 .0537 1 1.00 1.63 .0538 1 1.00 1.70 .0539 1 1.00 1.60 .0540 1 1.00 1.68 .0541 1 1.00 1.66 .0542 1 1.00 1.67 .0543 1 1.00 1.67 .0544 1 1.00 1.66 .0545 1 1.00 1.67 .0546 1 1.00 1.70 .0547 2 1.00 1.64 .0548 1 1.00 1.92 .0549 1 1.00 1.81 .0550 1 1.00 1.74 .0551 1 1.00 1.81 .0552 1 1.00 1.77 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.1774 1 1.00 3.78 .1775 1 1.00 3.58 .1776 1 1.00 3.65 .1777 1 1.00 3.74 .1778 1 1.00 3.51 .1779 1 1.00 3.68 .1780 1 1.00 3.77 .1781 2 1.00 4.34 .1782 1 1.00 3.54 .1783 1 1.00 3.59 .1784 1 1.00 3.65 .1785 1 1.00 3.72 .1786 1 1.00 3.53 .1787 1 1.00 3.69 .1788 1 1.00 3.67 .1789 1 1.00 3.43 .1790 1 1.00 3.96 .1791 1 1.00 3.56 .1792 1 1.00 3.59 .1793 1 1.00 3.37 .1794 1 1.00 3.40 .1795 1 1.00 3.42 .1796 1 1.00 3.51 .1797 1 1.00 3.54 .1798 1 1.00 3.48 .1799 1 1.00 3.48 .1800 1 1.00 3.54 .1801 1 1.00 3.52 .1802 1 1.00 3.32 .1803 1 1.00 3.51 .1804 1 1.00 3.52 .1805 1 1.00 3.54 .1806 1 1.00 3.41 .1807 1 1.00 3.58 .1808 1 1.00 3.46 .1809 1 1.00 3.46 .1810 2 1.00 3.39 .1811 1 1.00 3.51 .1812 1 1.00 3.44 .1813 1 1.00 3.63 .1814 1 1.00 3.53 .1815 1 1.00 3.66 .1816 1 1.00 3.53 .1817 1 1.00 3.62 .1818 1 1.00 3.64 .1819 1 1.00 3.57 .1820 1 1.00 3.54 .1821 1 1.00 3.79 .1822 1 1.00 3.40 .1823 2 1.00 3.62 .1824 1 1.00 3.64 .1825 1 1.00 3.66 .1826 1 1.00 3.48 .1827 2 1.00 4.01 .1828 1 1.00 3.67 .1829 1 1.00 3.60 .1830 1 1.00 3.69 .1831 1 1.00 3.49 .1832 1 1.00 3.68 .1833 1 1.00 3.50 .1834 1 1.00 3.48 .1835 1 1.00 3.48 .1836 1 1.00 3.44 .1837 1 1.00 3.69 .1838 1 1.00 3.98 .1839 1 1.00 3.56 .1840 1 1.00 3.56 .1841 1 1.00 3.58 .1842 1 1.00 3.58 .1843 1 1.00 3.43 .1844 1 1.00 3.54 .1845 1 1.00 3.64 .1846 1 1.00 3.67 .1847 1 1.00 3.65 .1848 1 1.00 3.78 .1849 1 1.00 3.52 .1850 1 1.00 3.65 .1851 1 1.00 3.57 .1852 1 1.00 3.51 .1853 1 1.00 3.92 .1854 1 1.00 3.58 .1855 1 1.00 3.48 .1856 1 1.00 3.50 .1857 1 1.00 3.58 .1858 1 1.00 3.41 .1859 1 1.00 3.62 .1860 1 1.00 3.50 .1861 1 1.00 3.57 .1862 1 1.00 3.58 .1863 1 1.00 3.56 .1864 1 1.00 3.66 .1865 1 1.00 3.57 .1866 1 1.00 3.64 .1867 1 1.00 3.85 .1868 1 1.00 3.83 .1869 1 1.00 3.71 .1870 1 1.00 3.74 .1871 1 1.00 3.72 .1872 1 1.00 3.72 .1873 1 1.00 3.97 .1874 1 1.00 3.83 .1875 1 1.00 3.69 .1876 1 1.00 3.74 .1877 1 1.00 3.73 .1878 1 1.00 3.71 .1879 1 1.00 3.60 .1880 1 1.00 3.73 .1881 1 1.00 4.02 .1882 1 1.00 3.58 .1883 1 1.00 3.60 .1884 1 1.00 3.86 .1885 1 1.00 4.52 .1886 1 1.00 3.70 .1887 1 1.00 3.71 .1888 1 1.00 3.55 .1889 1 1.00 3.80 .1890 2 1.00 3.80 .1891 1 1.00 3.69 .1892 1 1.00 3.72 .1893 1 1.00 3.69 .1894 1 1.00 3.81 .1895 1 1.00 3.90 .1896 1 1.00 3.91 .1897 1 1.00 3.99 .1898 1 1.00 3.93 .1899 1 1.00 3.96 .1900 1 1.00 3.76 .1901 1 1.00 3.95 .1902 1 1.00 4.00 .1903 1 1.00 3.86 .1904 1 1.00 3.92 .1905 1 1.00 3.99 .1906 2 1.00 3.98 .1907 1 1.00 3.92 .1908 1 1.00 3.81 .1909 1 1.00 3.96 .1910 1 1.00 3.88 .1911 1 1.00 3.91 .1912 1 1.00 3.87 .1913 1 1.00 3.89 .1914 1 1.00 4.05 .1915 1 1.00 3.85 .1916 1 1.00 3.70 .1917 1 1.00 3.74 .1918 1 1.00 3.94 .1919 1 1.00 3.76 .1920 1 1.00 3.76 .1921 1 1.00 3.78 .1922 1 1.00 3.87 .1923 1 1.00 3.87 .1924 1 1.00 3.67 .1925 1 1.00 3.86 .1926 1 1.00 3.90 .1927 1 1.00 3.94 .1928 1 1.00 3.59 .1929 1 1.00 3.81 .1930 1 1.00 3.68 .1931 1 1.00 3.82 .1932 1 1.00 3.81 .1933 1 1.00 3.76 .1934 1 1.00 3.81 .1935 1 1.00 3.64 .1936 1 1.00 3.78 .1937 1 1.00 3.82 .1938 1 1.00 3.87 .1939 1 1.00 3.86 .1940 1 1.00 3.90 .1941 1 1.00 3.70 .1942 1 1.00 3.81 .1943 2 1.00 3.89 .1944 1 1.00 4.17 .1945 2 1.00 3.87 .1946 1 1.00 3.96 .1947 1 1.00 3.74 .1948 1 1.00 3.60 .1949 1 1.00 3.91 .1950 2 1.00 3.68 .1951 1 1.00 3.57 .1952 1 1.00 3.67 .1953 1 1.00 3.78 .1954 1 1.00 3.77 .1955 1 1.00 3.62 .1956 1 1.00 3.58 .1957 1 1.00 3.76 .1958 1 1.00 3.53 .1959 1 1.00 3.67 .1960 1 1.00 3.72 .1961 1 1.00 3.49 .1962 1 1.00 3.53 .1963 1 1.00 3.67 .1964 1 1.00 3.58 .1965 1 1.00 3.75 .1966 1 1.00 3.59 .1967 1 1.00 3.81 .1968 1 1.00 3.90 .1969 1 1.00 3.88 .1970 1 1.00 3.86 .1971 1 1.00 3.63 .1972 1 1.00 3.89 .1973 2 1.00 3.85 .1974 1 1.00 3.57 .1975 1 1.00 3.89 .1976 1 1.00 4.01 .1977 1 1.00 3.78 .1978 1 1.00 3.80 .1979 1 1.00 3.61 .1980 1 1.00 3.69 .1981 1 1.00 3.56 .1982 1 1.00 3.78 .1983 1 1.00 3.70 .1984 1 1.00 3.58 .1985 1 1.00 3.56 .1986 1 1.00 3.84 .1987 1 1.00 3.79 .1988 1 1.00 3.74 .1989 1 1.00 3.77 .1990 1 1.00 3.62 .1991 1 1.00 3.65 .1992 1 1.00 3.66 .1993 1 1.00 3.62 .1994 1 1.00 3.75 .1995 1 1.00 3.62 .1996 1 1.00 3.58 .1997 1 1.00 3.60 .1998 1 1.00 3.64 .1999 1 1.00 3.73 .2000 1 1.00 3.64 .2001 1 1.00 3.78 .2002 1 1.00 3.95 .2003 1 1.00 3.55 .2004 1 1.00 3.53 .2005 2 1.00 3.70 .2006 2 1.00 4.38 .2007 1 1.00 3.58 .2008 1 1.00 3.59 .2009 1 1.00 3.48 .2010 1 1.00 3.70 .2011 1 1.00 3.74 .2012 1 1.00 3.45 .2013 1 1.00 3.55 .2014 1 1.00 3.45 .2015 1 1.00 3.60 .2016 1 1.00 3.65 .2017 1 1.00 3.59 .2018 1 1.00 3.53 .2019 1 1.00 3.97 .2020 1 1.00 3.63 .2021 1 1.00 3.63 .2022 1 1.00 3.61 .2023 1 1.00 3.53 .2024 1 1.00 3.52 .2025 1 1.00 3.52 .2026 1 1.00 3.89 .2027 1 1.00 3.49 .2028 1 1.00 3.65 .2029 1 1.00 3.70 .2030 1 1.00 3.55 .2031 1 1.00 3.44 .2032 1 1.00 3.38 .2033 1 1.00 3.54 .2034 1 1.00 3.61 .2035 1 1.00 3.48 .2036 1 1.00 3.50 .2037 1 1.00 3.34 .2038 1 1.00 3.30 .2039 1 1.00 3.44 .2040 1 1.00 3.32 .2041 1 1.00 3.20 .2042 1 1.00 3.36 .2043 1 1.00 3.30 .2044 1 1.00 3.23 .2045 1 1.00 3.35 .2046 1 1.00 3.35 .2047 1 1.00 3.48 EXTRACT_IMAGE: r1: masked 250 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITFLATWIDTH: r1: Median spatial widths = 0.91 0.91 0.92 0.93 pix (LL LR UL UR) SPCALIB: r1: Using Cubic, median chi squareds: vs SPCALIB: r1: Found 0 bright pixels in extracted flat sdR-r1-00034750.fit SPCALIB: r1: Tracing flat # 2 of 2 SPCALIB: r1: Reading flat sdR-r1-00034756.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.98299 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1182.41 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.65030 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1232.76 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1213. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Tracing 320 fibers in sdR-r1-00034756.fit TRACE320CEN: r1: Big gap at fiber= 20, x= 149.74, dx= 7.98 TRACE320CEN: r1: Big gap at fiber= 40, x= 276.61, dx= 8.23 TRACE320CEN: r1: Big gap at fiber= 60, x= 402.33, dx= 7.55 TRACE320CEN: r1: Big gap at fiber= 80, x= 528.90, dx= 8.72 TRACE320CEN: r1: Big gap at fiber= 100, x= 654.11, dx= 7.96 TRACE320CEN: r1: Big gap at fiber= 120, x= 779.72, dx= 8.56 TRACE320CEN: r1: Big gap at fiber= 140, x= 904.82, dx= 8.49 TRACE320CEN: r1: Big gap at fiber= 160, x=1029.32, dx= 7.94 TRACE320CEN: r1: Big gap at fiber= 180, x=1154.78, dx= 8.78 TRACE320CEN: r1: Big gap at fiber= 200, x=1279.79, dx= 7.76 TRACE320CEN: r1: Big gap at fiber= 220, x=1405.51, dx= 8.55 TRACE320CEN: r1: Big gap at fiber= 240, x=1530.82, dx= 7.51 TRACE320CEN: r1: Big gap at fiber= 260, x=1656.94, dx= 8.38 TRACE320CEN: r1: Big gap at fiber= 280, x=1783.06, dx= 7.89 TRACE320CEN: r1: Big gap at fiber= 300, x=1910.30, dx= 8.40 TRACE320CRUDE: r1: Warning: Fixing traces: 11 45 90 98 103 145 173 174 187 188 216 249 251 268 269 294 297 298 305 316 SPCALIB: r1: Fitting traces in sdR-r1-00034756.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 37 13 2048 30 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 28 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 44 45 2048 0 46 2048 17 47 2048 2 48 2048 0 49 2048 0 50 2048 1 51 2048 1 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 67 100 2048 58 101 2048 0 102 2048 0 103 2048 0 104 2048 86 105 2048 11 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 26 137 2048 85 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 8 145 2048 0 146 2048 84 147 2048 0 148 2048 0 149 2048 0 150 2048 1 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 5 173 2048 0 174 2048 0 175 2048 11 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 35 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 7 248 2048 69 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 4 267 2048 42 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 23 304 2048 33 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 815 SPCALIB: r1: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 2 1.00 1.43 .0001 2 1.00 1.24 .0002 2 1.00 1.27 .0003 2 1.00 1.21 .0004 2 1.00 1.32 .0005 3 1.00 1.32 .0006 2 1.00 1.34 .0007 2 1.00 1.26 .0008 2 1.00 1.26 .0009 2 1.00 1.31 .0010 2 1.00 1.42 .0011 2 1.00 1.33 .0012 2 1.00 1.35 .0013 2 1.00 1.39 .0014 2 1.00 1.31 .0015 2 1.00 1.39 .0016 2 1.00 1.45 .0017 2 1.00 1.43 .0018 2 1.00 1.33 .0019 2 1.00 1.39 .0020 2 1.00 1.45 .0021 2 1.00 1.30 .0022 2 1.00 1.38 .0023 2 1.00 1.46 .0024 2 1.00 1.40 .0025 2 1.00 1.51 .0026 2 1.00 1.38 .0027 2 1.00 1.52 .0028 2 1.00 1.41 .0029 2 1.00 1.42 .0030 2 1.00 1.50 .0031 2 1.00 1.48 .0032 2 1.00 1.46 .0033 2 1.00 1.45 .0034 2 1.00 1.46 .0035 2 1.00 1.47 .0036 2 1.00 1.49 .0037 2 1.00 1.56 .0038 2 1.00 1.58 .0039 2 1.00 1.54 .0040 2 1.00 1.54 .0041 2 1.00 1.63 .0042 2 1.00 1.76 .0043 2 1.00 1.64 .0044 2 1.00 1.44 .0045 2 1.00 1.58 .0046 2 1.00 1.53 .0047 2 1.00 1.66 .0048 2 1.00 1.77 .0049 2 1.00 1.72 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.1493 1 1.00 3.70 .1494 1 1.00 4.01 .1495 1 1.00 3.93 .1496 1 1.00 3.80 .1497 1 1.00 3.78 .1498 1 1.00 3.98 .1499 1 1.00 3.92 .1500 1 1.00 3.93 .1501 1 1.00 3.96 .1502 1 1.00 3.77 .1503 1 1.00 3.79 .1504 1 1.00 3.75 .1505 1 1.00 3.89 .1506 1 1.00 3.66 .1507 1 1.00 3.77 .1508 1 1.00 3.63 .1509 1 1.00 3.97 .1510 1 1.00 3.74 .1511 1 1.00 3.87 .1512 1 1.00 4.12 .1513 1 1.00 3.77 .1514 1 1.00 3.94 .1515 1 1.00 3.74 .1516 1 1.00 4.04 .1517 1 1.00 4.01 .1518 1 1.00 3.98 .1519 1 1.00 3.54 .1520 1 1.00 3.76 .1521 2 1.00 3.89 .1522 1 1.00 3.73 .1523 1 1.00 3.81 .1524 2 1.00 3.87 .1525 1 1.00 3.90 .1526 1 1.00 3.79 .1527 1 1.00 3.91 .1528 1 1.00 3.86 .1529 1 1.00 3.91 .1530 1 1.00 3.83 .1531 1 1.00 3.75 .1532 1 1.00 3.92 .1533 1 1.00 3.84 .1534 1 1.00 3.92 .1535 1 1.00 3.71 .1536 1 1.00 3.78 .1537 1 1.00 3.89 .1538 1 1.00 3.82 .1539 1 1.00 3.87 .1540 1 1.00 3.82 .1541 1 1.00 3.78 .1542 1 1.00 3.94 .1543 1 1.00 3.73 .1544 1 1.00 3.93 .1545 1 1.00 3.73 .1546 1 1.00 3.66 .1547 1 1.00 3.63 .1548 1 1.00 3.83 .1549 1 1.00 3.80 .1550 1 1.00 3.82 .1551 1 1.00 3.99 .1552 1 1.00 3.67 .1553 1 1.00 3.85 .1554 1 1.00 3.76 .1555 1 1.00 3.89 .1556 1 1.00 4.07 .1557 1 1.00 3.62 .1558 1 1.00 3.69 .1559 1 1.00 3.97 .1560 1 1.00 3.80 .1561 1 1.00 3.88 .1562 1 1.00 3.70 .1563 1 1.00 3.91 .1564 1 1.00 3.79 .1565 1 1.00 3.80 .1566 1 1.00 3.78 .1567 1 1.00 3.71 .1568 1 1.00 3.88 .1569 1 1.00 3.98 .1570 1 1.00 3.93 .1571 1 1.00 3.88 .1572 1 1.00 3.75 .1573 1 1.00 3.85 .1574 1 1.00 3.79 .1575 1 1.00 3.75 .1576 1 1.00 3.88 .1577 2 1.00 4.02 .1578 1 1.00 3.86 .1579 1 1.00 3.91 .1580 1 1.00 3.93 .1581 1 1.00 3.85 .1582 1 1.00 3.91 .1583 1 1.00 4.14 .1584 1 1.00 3.71 .1585 1 1.00 3.78 .1586 1 1.00 3.80 .1587 1 1.00 3.76 .1588 1 1.00 3.63 .1589 1 1.00 3.74 .1590 1 1.00 3.68 .1591 2 1.00 4.03 .1592 1 1.00 3.81 .1593 1 1.00 3.78 .1594 1 1.00 3.55 .1595 1 1.00 3.71 .1596 1 1.00 3.65 .1597 1 1.00 3.83 .1598 1 1.00 3.83 .1599 1 1.00 3.79 .1600 1 1.00 3.90 .1601 1 1.00 3.85 .1602 1 1.00 3.86 .1603 1 1.00 3.72 .1604 1 1.00 3.85 .1605 1 1.00 3.86 .1606 1 1.00 3.65 .1607 1 1.00 3.84 .1608 1 1.00 3.68 .1609 2 1.00 3.91 .1610 2 1.00 3.95 .1611 1 1.00 3.82 .1612 1 1.00 3.81 .1613 1 1.00 3.88 .1614 1 1.00 3.81 .1615 1 1.00 3.82 .1616 1 1.00 4.01 .1617 1 1.00 3.97 .1618 1 1.00 4.02 .1619 1 1.00 3.94 .1620 1 1.00 3.82 .1621 1 1.00 3.76 .1622 1 1.00 3.82 .1623 1 1.00 3.70 .1624 1 1.00 3.72 .1625 1 1.00 3.82 .1626 1 1.00 3.82 .1627 1 1.00 3.55 .1628 1 1.00 3.89 .1629 1 1.00 3.83 .1630 1 1.00 3.94 .1631 1 1.00 3.76 .1632 1 1.00 3.67 .1633 1 1.00 4.03 .1634 1 1.00 3.75 .1635 1 1.00 3.79 .1636 1 1.00 3.64 .1637 1 1.00 3.84 .1638 1 1.00 3.74 .1639 1 1.00 3.87 .1640 1 1.00 3.73 .1641 1 1.00 3.77 .1642 1 1.00 3.90 .1643 1 1.00 3.81 .1644 1 1.00 3.82 .1645 1 1.00 3.85 .1646 1 1.00 3.80 .1647 1 1.00 4.02 .1648 1 1.00 3.95 .1649 1 1.00 3.82 .1650 1 1.00 3.94 .1651 1 1.00 3.81 .1652 1 1.00 4.05 .1653 1 1.00 3.69 .1654 1 1.00 3.79 .1655 1 1.00 3.73 .1656 1 1.00 3.76 .1657 1 1.00 3.67 .1658 1 1.00 3.76 .1659 1 1.00 3.78 .1660 1 1.00 3.81 .1661 1 1.00 3.80 .1662 1 1.00 3.67 .1663 1 1.00 3.81 .1664 1 1.00 3.82 .1665 1 1.00 3.85 .1666 1 1.00 3.91 .1667 1 1.00 3.76 .1668 1 1.00 3.67 .1669 1 1.00 3.66 .1670 1 1.00 3.61 .1671 1 1.00 3.66 .1672 1 1.00 3.82 .1673 1 1.00 3.67 .1674 1 1.00 3.67 .1675 1 1.00 3.84 .1676 1 1.00 3.88 .1677 1 1.00 3.71 .1678 1 1.00 3.66 .1679 1 1.00 3.66 .1680 1 1.00 3.79 .1681 1 1.00 3.50 .1682 1 1.00 3.74 .1683 1 1.00 3.65 .1684 1 1.00 3.95 .1685 1 1.00 3.75 .1686 1 1.00 3.79 .1687 1 1.00 3.73 .1688 1 1.00 3.82 .1689 1 1.00 3.79 .1690 1 1.00 3.99 .1691 1 1.00 3.83 .1692 1 1.00 3.64 .1693 1 1.00 3.78 .1694 1 1.00 3.74 .1695 1 1.00 3.89 .1696 1 1.00 3.75 .1697 1 1.00 3.66 .1698 1 1.00 3.80 .1699 1 1.00 3.82 .1700 1 1.00 3.67 .1701 1 1.00 3.73 .1702 1 1.00 3.64 .1703 1 1.00 3.75 .1704 1 1.00 3.81 .1705 1 1.00 3.78 .1706 1 1.00 3.81 .1707 1 1.00 3.60 .1708 1 1.00 3.69 .1709 1 1.00 3.36 .1710 1 1.00 3.74 .1711 1 1.00 3.71 .1712 2 1.00 3.86 .1713 1 1.00 4.17 .1714 1 1.00 3.76 .1715 1 1.00 3.74 .1716 1 1.00 3.52 .1717 1 1.00 3.54 .1718 1 1.00 3.59 .1719 1 1.00 3.74 .1720 1 1.00 3.52 .1721 1 1.00 3.67 .1722 1 1.00 3.64 .1723 1 1.00 3.69 .1724 1 1.00 3.48 .1725 1 1.00 3.48 .1726 1 1.00 3.64 .1727 1 1.00 3.45 .1728 2 1.00 3.56 .1729 1 1.00 3.48 .1730 2 1.00 4.03 .1731 1 1.00 3.54 .1732 1 1.00 3.37 .1733 1 1.00 3.50 .1734 1 1.00 3.56 .1735 1 1.00 3.58 .1736 1 1.00 3.61 .1737 1 1.00 3.60 .1738 1 1.00 3.71 .1739 1 1.00 3.49 .1740 1 1.00 3.62 .1741 1 1.00 3.51 .1742 1 1.00 3.57 .1743 1 1.00 3.67 .1744 1 1.00 3.58 .1745 1 1.00 3.60 .1746 1 1.00 3.56 .1747 1 1.00 3.60 .1748 1 1.00 3.39 .1749 2 1.00 3.52 .1750 1 1.00 3.58 .1751 1 1.00 3.53 .1752 1 1.00 3.31 .1753 1 1.00 3.50 .1754 1 1.00 3.62 .1755 1 1.00 3.48 .1756 1 1.00 3.41 .1757 1 1.00 3.49 .1758 1 1.00 3.60 .1759 1 1.00 3.47 .1760 1 1.00 3.56 .1761 1 1.00 3.49 .1762 1 1.00 3.50 .1763 1 1.00 3.56 .1764 1 1.00 3.58 .1765 1 1.00 3.47 .1766 1 1.00 3.41 .1767 1 1.00 3.43 .1768 1 1.00 3.47 .1769 1 1.00 3.39 .1770 1 1.00 3.54 .1771 1 1.00 3.66 .1772 1 1.00 3.73 .1773 1 1.00 3.49 .1774 1 1.00 3.60 .1775 1 1.00 3.49 .1776 1 1.00 3.55 .1777 1 1.00 3.64 .1778 1 1.00 3.62 .1779 1 1.00 3.46 .1780 1 1.00 3.46 .1781 1 1.00 3.70 .1782 1 1.00 3.44 .1783 1 1.00 3.53 .1784 1 1.00 3.50 .1785 1 1.00 3.59 .1786 1 1.00 3.50 .1787 1 1.00 3.58 .1788 1 1.00 3.66 .1789 2 1.00 3.38 .1790 1 1.00 3.37 .1791 1 1.00 3.46 .1792 2 1.00 3.42 .1793 1 1.00 3.44 .1794 1 1.00 3.49 .1795 1 1.00 3.47 .1796 1 1.00 3.31 .1797 1 1.00 3.44 .1798 1 1.00 3.27 .1799 1 1.00 3.34 .1800 1 1.00 3.44 .1801 1 1.00 3.37 .1802 1 1.00 3.39 .1803 1 1.00 3.32 .1804 1 1.00 3.38 .1805 1 1.00 3.36 .1806 1 1.00 3.54 .1807 1 1.00 3.32 .1808 1 1.00 3.45 .1809 1 1.00 3.24 .1810 1 1.00 3.95 .1811 1 1.00 3.49 .1812 2 1.00 3.50 .1813 1 1.00 3.54 .1814 1 1.00 3.50 .1815 1 1.00 3.41 .1816 1 1.00 3.74 .1817 1 1.00 3.54 .1818 1 1.00 3.48 .1819 1 1.00 3.70 .1820 1 1.00 3.44 .1821 1 1.00 3.56 .1822 1 1.00 3.58 .1823 1 1.00 3.50 .1824 1 1.00 3.60 .1825 1 1.00 3.77 .1826 1 1.00 3.44 .1827 1 1.00 3.49 .1828 1 1.00 3.53 .1829 2 1.00 3.86 .1830 2 1.00 3.61 .1831 1 1.00 3.66 .1832 1 1.00 3.54 .1833 1 1.00 3.54 .1834 1 1.00 3.50 .1835 1 1.00 3.53 .1836 1 1.00 3.57 .1837 1 1.00 3.51 .1838 1 1.00 3.49 .1839 1 1.00 3.48 .1840 1 1.00 3.65 .1841 1 1.00 3.51 .1842 1 1.00 3.53 .1843 1 1.00 3.61 .1844 1 1.00 3.72 .1845 1 1.00 3.59 .1846 1 1.00 3.40 .1847 1 1.00 3.80 .1848 1 1.00 3.56 .1849 1 1.00 3.67 .1850 1 1.00 3.59 .1851 1 1.00 3.53 .1852 1 1.00 3.41 .1853 1 1.00 3.48 .1854 1 1.00 3.70 .1855 1 1.00 3.51 .1856 1 1.00 3.57 .1857 1 1.00 3.53 .1858 1 1.00 3.53 .1859 1 1.00 3.54 .1860 1 1.00 3.38 .1861 1 1.00 3.64 .1862 1 1.00 3.57 .1863 1 1.00 3.70 .1864 1 1.00 3.63 .1865 1 1.00 3.82 .1866 1 1.00 3.94 .1867 1 1.00 3.64 .1868 1 1.00 3.67 .1869 1 1.00 3.70 .1870 1 1.00 3.63 .1871 2 1.00 3.77 .1872 1 1.00 3.67 .1873 1 1.00 3.56 .1874 1 1.00 3.43 .1875 2 1.00 3.79 .1876 1 1.00 3.67 .1877 1 1.00 3.64 .1878 1 1.00 3.66 .1879 1 1.00 3.75 .1880 1 1.00 3.69 .1881 1 1.00 3.64 .1882 1 1.00 3.72 .1883 1 1.00 3.69 .1884 1 1.00 3.56 .1885 1 1.00 3.55 .1886 1 1.00 3.50 .1887 1 1.00 3.56 .1888 1 1.00 3.73 .1889 1 1.00 3.63 .1890 1 1.00 3.78 .1891 1 1.00 3.75 .1892 1 1.00 3.79 .1893 1 1.00 3.71 .1894 1 1.00 3.86 .1895 1 1.00 3.87 .1896 1 1.00 3.75 .1897 1 1.00 3.79 .1898 1 1.00 3.77 .1899 1 1.00 3.68 .1900 1 1.00 3.97 .1901 1 1.00 3.66 .1902 1 1.00 3.91 .1903 1 1.00 3.78 .1904 1 1.00 3.90 .1905 1 1.00 4.01 .1906 1 1.00 3.66 .1907 1 1.00 3.84 .1908 1 1.00 4.00 .1909 1 1.00 3.79 .1910 1 1.00 3.90 .1911 1 1.00 3.78 .1912 1 1.00 3.83 .1913 1 1.00 3.73 .1914 1 1.00 3.54 .1915 1 1.00 4.04 .1916 1 1.00 3.68 .1917 1 1.00 3.87 .1918 1 1.00 3.66 .1919 1 1.00 3.92 .1920 1 1.00 4.48 .1921 3 1.00 3.91 .1922 1 1.00 3.90 .1923 1 1.00 3.79 .1924 1 1.00 3.89 .1925 1 1.00 3.84 .1926 1 1.00 3.74 .1927 1 1.00 3.89 .1928 1 1.00 3.67 .1929 1 1.00 4.23 .1930 1 1.00 4.20 .1931 2 1.00 3.79 .1932 1 1.00 3.89 .1933 1 1.00 3.88 .1934 1 1.00 3.69 .1935 1 1.00 3.89 .1936 1 1.00 3.78 .1937 1 1.00 3.90 .1938 1 1.00 3.68 .1939 1 1.00 3.94 .1940 1 1.00 3.88 .1941 1 1.00 3.87 .1942 1 1.00 3.79 .1943 1 1.00 3.81 .1944 1 1.00 3.69 .1945 2 1.00 3.64 .1946 1 1.00 3.63 .1947 1 1.00 3.89 .1948 1 1.00 3.69 .1949 1 1.00 3.68 .1950 1 1.00 3.56 .1951 1 1.00 3.73 .1952 1 1.00 3.59 .1953 1 1.00 4.10 .1954 1 1.00 3.81 .1955 1 1.00 3.78 .1956 1 1.00 3.52 .1957 1 1.00 3.83 .1958 1 1.00 3.65 .1959 1 1.00 3.67 .1960 1 1.00 3.81 .1961 1 1.00 3.81 .1962 1 1.00 3.93 .1963 1 1.00 3.68 .1964 1 1.00 3.82 .1965 1 1.00 3.70 .1966 1 1.00 3.72 .1967 1 1.00 3.77 .1968 1 1.00 3.67 .1969 1 1.00 4.01 .1970 1 1.00 3.95 .1971 1 1.00 3.78 .1972 1 1.00 3.78 .1973 1 1.00 3.81 .1974 1 1.00 3.61 .1975 1 1.00 3.74 .1976 1 1.00 3.70 .1977 1 1.00 3.70 .1978 1 1.00 3.92 .1979 1 1.00 3.76 .1980 1 1.00 3.56 .1981 1 1.00 3.74 .1982 1 1.00 3.68 .1983 1 1.00 3.64 .1984 1 1.00 3.67 .1985 1 1.00 3.77 .1986 2 1.00 3.80 .1987 1 1.00 3.74 .1988 1 1.00 3.61 .1989 1 1.00 3.73 .1990 1 1.00 3.64 .1991 1 1.00 3.63 .1992 1 1.00 3.72 .1993 1 1.00 3.58 .1994 1 1.00 3.72 .1995 1 1.00 3.69 .1996 1 1.00 3.61 .1997 1 1.00 3.66 .1998 1 1.00 3.74 .1999 1 1.00 3.65 .2000 1 1.00 3.88 .2001 1 1.00 3.70 .2002 1 1.00 3.82 .2003 1 1.00 3.50 .2004 3 1.00 3.62 .2005 1 1.00 3.77 .2006 2 1.00 3.83 .2007 1 1.00 3.52 .2008 1 1.00 3.71 .2009 1 1.00 3.68 .2010 1 1.00 3.88 .2011 1 1.00 3.65 .2012 1 1.00 3.73 .2013 1 1.00 3.72 .2014 1 1.00 3.61 .2015 1 1.00 3.59 .2016 1 1.00 3.65 .2017 1 1.00 3.77 .2018 1 1.00 3.67 .2019 1 1.00 3.61 .2020 1 1.00 3.67 .2021 1 1.00 3.56 .2022 1 1.00 3.61 .2023 1 1.00 3.59 .2024 1 1.00 3.44 .2025 1 1.00 3.66 .2026 1 1.00 3.66 .2027 1 1.00 3.66 .2028 1 1.00 3.54 .2029 1 1.00 3.69 .2030 1 1.00 3.40 .2031 1 1.00 3.58 .2032 1 1.00 3.70 .2033 1 1.00 3.33 .2034 1 1.00 3.50 .2035 1 1.00 3.50 .2036 1 1.00 3.51 .2037 1 1.00 3.41 .2038 1 1.00 4.07 .2039 1 1.00 3.31 .2040 1 1.00 3.75 .2041 1 1.00 3.33 .2042 1 1.00 3.45 .2043 1 1.00 3.18 .2044 1 1.00 3.38 .2045 1 1.00 3.34 .2046 1 1.00 3.49 .2047 1 1.00 3.32 EXTRACT_IMAGE: r1: masked 244 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITFLATWIDTH: r1: Median spatial widths = 0.92 0.92 0.91 0.92 pix (LL LR UL UR) SPCALIB: r1: Using Cubic, median chi squareds: vs SPCALIB: r1: Found 0 bright pixels in extracted flat sdR-r1-00034756.fit SPCALIB: r1: Extracting arc # 1 of 2 SPCALIB: r1: Reading arc sdR-r1-00034751.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.91686 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1182.10 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.57605 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1232.48 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1212. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Fraction of bad pixels in arc = 3.45707e-05 SPCALIB: r1: Arc sdR-r1-00034751.fit paired with flat sdR-r1-00034750.fit MATCH_TRACE: r1: Iteration: 0 Pixels Rejected: 7112 Finished? 0 MATCH_TRACE: r1: Iteration: 1 Pixels Rejected: 183 Finished? 0 MATCH_TRACE: r1: Iteration: 2 Pixels Rejected: 61 Finished? 0 MATCH_TRACE: r1: Iteration: 3 Pixels Rejected: 19 Finished? 0 MATCH_TRACE: r1: Iteration: 4 Pixels Rejected: 5 Finished? 0 MATCH_TRACE: r1: Iteration: 5 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r1: Iteration: 6 Pixels Rejected: 0 Finished? 1 SPCALIB: r1: Shifting traces with match_trace -0.00280762 SPCALIB: r1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 1 0.94 1.31 .0001 1 0.94 1.32 .0002 1 0.94 1.12 .0003 1 0.94 1.11 .0004 1 0.94 1.15 .0005 1 0.94 1.05 .0006 1 0.94 1.07 .0007 1 0.94 1.15 .0008 1 0.94 1.21 .0009 1 0.94 1.15 .0010 1 0.94 1.16 .0011 1 0.94 1.26 .0012 1 0.94 1.52 .0013 1 0.94 1.33 .0014 2 0.94 1.41 .0015 2 0.94 1.52 .0016 1 0.94 1.15 .0017 1 0.94 1.00 .0018 1 0.94 0.98 .0019 1 0.94 1.02 .0020 1 0.94 1.02 .0021 1 0.94 1.13 .0022 1 0.94 1.12 .0023 1 0.94 1.22 .0024 1 0.94 1.12 .0025 1 0.94 1.18 .0026 1 0.94 1.21 .0027 1 0.94 1.23 .0028 1 0.94 1.14 .0029 1 0.94 1.17 .0030 1 0.94 1.18 .0031 1 0.94 1.14 .0032 1 0.94 1.13 .0033 2 0.94 1.29 .0034 2 0.94 1.23 .0035 2 0.94 1.24 .0036 2 0.94 1.29 .0037 1 0.94 1.54 .0038 1 0.94 1.44 .0039 1 0.94 1.59 .0040 1 0.94 1.44 .0041 1 0.94 1.49 .0042 1 0.94 1.57 .0043 1 0.94 1.65 .0044 1 0.94 1.58 .0045 3 0.94 1.54 .0046 1 0.94 1.50 .0047 1 0.94 1.52 .0048 1 0.94 1.73 .0049 1 0.94 1.68 .0050 1 0.94 1.46 .0051 1 0.93 1.53 .0052 1 0.93 1.81 .0053 1 0.93 2.04 .0054 2 0.93 2.17 .0055 2 0.93 2.03 .0056 1 0.93 1.97 .0057 1 0.93 2.08 .0058 1 0.93 1.65 .0059 1 0.93 1.40 .0060 1 0.93 1.30 .0061 1 0.93 1.30 .0062 1 0.93 1.41 .0063 1 0.93 1.42 .0064 1 0.93 1.33 .0065 1 0.93 1.35 .0066 1 0.93 1.33 .0067 1 0.93 1.41 .0068 1 0.93 1.37 .0069 1 0.93 1.46 .0070 1 0.93 1.23 .0071 1 0.93 1.45 .0072 1 0.93 1.59 .0073 1 0.93 1.75 .0074 1 0.93 1.92 .0075 1 0.93 1.77 .0076 1 0.93 1.65 .0077 1 0.93 1.85 .0078 1 0.93 1.18 .0079 1 0.93 1.12 .0080 1 0.93 1.19 .0081 1 0.93 1.25 .0082 1 0.93 1.26 .0083 1 0.93 1.32 .0084 1 0.93 1.26 .0085 1 0.93 1.27 .0086 1 0.93 1.31 .0087 1 0.93 1.47 .0088 1 0.93 1.53 .0089 1 0.93 1.48 .0090 1 0.93 1.43 .0091 1 0.93 1.45 .0092 1 0.93 1.45 .0093 1 0.93 1.52 .0094 1 0.93 1.65 .0095 1 0.93 1.62 .0096 1 0.93 1.64 .0097 1 0.93 1.81 .0098 1 0.93 1.93 .0099 1 0.93 1.96 .0100 1 0.93 1.95 .0101 1 0.93 2.03 .0102 1 0.93 1.95 .0103 2 0.93 2.21 .0104 1 0.93 1.91 .0105 1 0.93 2.16 .0106 2 0.93 2.04 .0107 1 0.93 2.03 .0108 1 0.93 1.94 .0109 1 0.93 2.02 .0110 1 0.93 2.17 .0111 1 0.93 2.22 .0112 1 0.93 2.15 .0113 1 0.93 2.10 .0114 1 0.93 2.58 .0115 1 0.93 2.93 .0116 1 0.93 3.71 .0117 1 0.93 3.02 .0118 1 0.93 3.03 .0119 1 0.93 3.54 .0120 1 0.93 1.90 .0121 1 0.93 1.22 .0122 1 0.93 1.13 .0123 1 0.93 1.19 .0124 1 0.93 1.14 .0125 1 0.93 1.14 .0126 1 0.93 1.11 .0127 1 0.93 1.07 .0128 1 0.93 1.11 .0129 1 0.93 1.10 .0130 1 0.93 1.11 .0131 1 0.93 1.05 .0132 1 0.93 1.16 .0133 1 0.93 1.12 .0134 1 0.93 1.22 .0135 1 0.93 1.19 .0136 1 0.93 1.28 .0137 1 0.93 1.33 .0138 1 0.93 1.29 .0139 1 0.93 1.40 .0140 2 0.93 1.30 .0141 1 0.93 1.18 .0142 1 0.93 1.00 .0143 1 0.93 1.06 .0144 1 0.93 1.02 .0145 1 0.93 1.06 .0146 1 0.93 1.10 .0147 1 0.93 1.12 .0148 1 0.93 1.13 .0149 1 0.93 1.12 .0150 1 0.93 1.10 .0151 3 0.93 1.11 .0152 2 0.93 1.33 .0153 3 0.93 1.20 .0154 2 0.93 1.28 .0155 2 0.93 1.30 .0156 2 0.93 1.30 .0157 1 0.93 1.22 .0158 1 0.93 1.17 .0159 1 0.93 1.21 .0160 1 0.93 1.25 .0161 1 0.93 1.20 .0162 1 0.93 1.27 .0163 1 0.93 1.19 .0164 1 0.93 1.19 .0165 1 0.92 1.22 .0166 1 0.92 1.24 .0167 1 0.92 1.32 .0168 1 0.92 1.43 .0169 1 0.92 1.51 .0170 1 0.92 1.49 .0171 1 0.92 1.72 .0172 1 0.92 1.85 .0173 1 0.92 1.86 .0174 1 0.92 1.95 .0175 1 0.92 2.11 .0176 1 0.92 2.05 .0177 1 0.92 1.76 .0178 1 0.92 1.66 .0179 1 0.92 1.83 .0180 1 0.92 1.78 .0181 1 0.92 1.88 .0182 1 0.92 2.09 .0183 1 0.92 2.11 .0184 1 0.92 2.51 .0185 1 0.92 2.86 .0186 1 0.92 2.87 .0187 1 0.92 3.33 .0188 1 0.92 3.16 .0189 1 0.92 3.26 .0190 1 0.92 3.57 .0191 1 0.92 3.70 .0192 1 0.92 3.43 .0193 1 0.92 3.40 .0194 1 0.92 3.17 .0195 1 0.92 3.50 .0196 1 0.92 3.33 .0197 1 0.92 3.57 .0198 1 0.92 3.79 .0199 1 0.92 3.76 .0200 1 0.92 4.46 .0201 1 0.92 4.92 .0202 1 0.92 5.38 .0203 1 0.92 4.63 .0204 1 0.92 4.49 .0205 1 0.92 4.97 .0206 1 0.92 3.83 .0207 1 0.92 3.09 .0208 2 0.92 3.64 .0209 1 0.92 3.45 .0210 1 0.92 3.35 .0211 1 0.92 3.78 .0212 1 0.92 4.40 .0213 1 0.92 4.30 .0214 1 0.92 5.18 .0215 1 0.92 5.92 .0216 1 0.92 8.25 .0217 1 0.92 7.42 .0218 1 0.92 7.11 .0219 1 0.92 7.26 .0220 1 0.92 6.22 .0221 1 0.92 5.00 .0222 1 0.92 4.99 .0223 1 0.92 4.90 .0224 1 0.92 5.11 .0225 1 0.92 4.89 .0226 1 0.92 5.41 .0227 1 0.92 5.22 .0228 1 0.92 5.75 .0229 1 0.92 6.51 .0230 1 0.92 7.22 .0231 1 0.92 7.61 .0232 1 0.92 8.22 .0233 1 0.92 9.21 .0234 1 0.92 7.84 .0235 1 0.92 8.16 .0236 1 0.92 8.89 .0237 1 0.92 8.74 .0238 1 0.92 8.38 .0239 1 0.92 8.71 .0240 1 0.92 9.46 .0241 1 0.92 8.91 .0242 1 0.92 9.44 .0243 1 0.92 9.89 .0244 1 0.92 9.18 .0245 1 0.92 11.74 .0246 1 0.92 14.90 .0247 1 0.92 17.79 .0248 1 0.92 13.06 .0249 1 0.92 12.32 .0250 1 0.92 13.48 .0251 1 0.92 6.45 .0252 1 0.92 3.40 .0253 1 0.92 3.45 .0254 1 0.92 3.39 .0255 1 0.92 3.17 .0256 1 0.92 3.24 .0257 1 0.92 2.93 .0258 1 0.92 2.96 .0259 1 0.92 3.82 .0260 1 0.92 4.92 .0261 1 0.92 4.06 .0262 1 0.92 3.80 .0263 1 0.92 3.92 .0264 1 0.92 3.47 .0265 1 0.92 1.54 .0266 1 0.92 1.37 .0267 1 0.92 1.40 .0268 1 0.92 1.40 .0269 1 0.92 1.50 .0270 1 0.92 1.50 .0271 1 0.92 1.42 .0272 1 0.92 1.45 .0273 1 0.92 1.48 .0274 1 0.92 1.40 .0275 1 0.92 1.46 .0276 1 0.92 1.53 .0277 1 0.92 1.45 .0278 1 0.92 1.45 .0279 2 0.92 1.82 .0280 1 0.92 1.67 .0281 1 0.92 1.89 .0282 1 0.92 1.88 .0283 1 0.92 1.86 .0284 1 0.92 1.82 .0285 1 0.92 1.81 .0286 1 0.92 1.77 .0287 1 0.92 1.80 .0288 1 0.92 1.93 .0289 1 0.92 1.88 .0290 1 0.92 1.96 .0291 1 0.92 1.92 .0292 1 0.92 2.04 .0293 1 0.92 2.13 .0294 1 0.92 2.49 .0295 1 0.92 3.31 .0296 3 0.92 3.07 .0297 2 0.92 3.45 .0298 1 0.92 3.21 .0299 1 0.92 3.07 .0300 1 0.92 2.56 .0301 1 0.92 2.89 .0302 1 0.92 2.89 .0303 1 0.92 3.04 .0304 3 0.92 2.82 .0305 1 0.92 2.69 .0306 1 0.92 2.81 .0307 2 0.92 2.82 .0308 2 0.92 3.09 .0309 1 0.92 2.78 .0310 1 0.92 3.25 .0311 1 0.92 3.59 .0312 1 0.92 3.53 .0313 1 0.92 4.34 .0314 1 0.92 4.49 .0315 1 0.92 4.01 .0316 1 0.92 4.07 .0317 1 0.92 5.00 .0318 1 0.92 4.03 .0319 1 0.92 4.08 .0320 1 0.92 4.64 .0321 1 0.92 4.81 .0322 1 0.92 4.48 .0323 1 0.92 4.93 .0324 2 0.92 4.42 .0325 1 0.92 5.14 .0326 1 0.92 6.38 .0327 1 0.92 8.36 .0328 1 0.92 6.27 .0329 1 0.92 5.66 .0330 1 0.92 6.96 .0331 1 0.91 3.72 .0332 1 0.91 1.73 .0333 1 0.91 1.72 .0334 1 0.91 1.64 .0335 1 0.91 1.90 .0336 1 0.91 1.94 .0337 1 0.91 2.27 .0338 1 0.91 2.91 .0339 1 0.91 3.17 .0340 1 0.91 3.39 .0341 1 0.91 3.72 .0342 1 0.91 4.11 .0343 2 0.91 4.10 .0344 2 0.91 4.58 .0345 1 0.91 5.37 .0346 1 0.91 5.87 .0347 1 0.91 5.13 .0348 1 0.91 4.94 .0349 1 0.91 4.74 .0350 1 0.91 4.90 .0351 1 0.91 5.29 .0352 1 0.91 6.19 .0353 1 0.91 5.33 .0354 1 0.91 5.46 .0355 1 0.91 7.76 .0356 1 0.91 5.54 .0357 1 0.91 6.36 .0358 1 0.91 6.52 .0359 1 0.91 6.46 .0360 1 0.91 7.63 .0361 1 0.91 8.33 .0362 1 0.91 7.33 .0363 1 0.91 6.67 .0364 1 0.91 7.50 .0365 1 0.91 7.63 .0366 1 0.91 6.99 .0367 1 0.91 7.31 .0368 1 0.91 7.58 .0369 1 0.91 9.57 .0370 1 0.91 11.64 .0371 1 0.91 13.45 .0372 1 0.91 10.41 .0373 1 0.91 9.96 .0374 1 0.91 13.76 .0375 1 0.91 5.26 .0376 1 0.91 4.87 .0377 2 0.91 5.35 .0378 1 0.91 5.03 .0379 1 0.91 5.41 .0380 2 0.91 5.80 .0381 1 0.91 7.37 .0382 1 0.91 8.34 .0383 1 0.91 9.29 .0384 1 0.91 10.85 .0385 1 0.91 12.03 .0386 1 0.91 13.96 .0387 1 0.91 15.31 .0388 1 0.91 16.77 .0389 1 0.91 18.90 .0390 1 0.91 19.69 .0391 1 0.91 19.00 .0392 1 0.91 19.26 .0393 1 0.91 17.66 .0394 1 0.91 18.45 .0395 1 0.91 19.30 .0396 1 0.91 18.89 .0397 1 0.91 18.54 .0398 1 0.91 21.44 .0399 1 0.91 22.72 .0400 1 0.91 24.24 .0401 1 0.91 26.97 .0402 1 0.91 31.03 .0403 1 0.91 29.25 .0404 1 0.91 31.92 .0405 1 0.91 31.36 .0406 1 0.91 23.30 .0407 1 0.91 26.47 .0408 1 0.91 27.96 .0409 1 0.91 26.69 .0410 1 0.91 29.73 .0411 1 0.91 28.97 .0412 1 0.91 31.56 .0413 1 0.91 38.63 .0414 1 0.91 47.79 .0415 1 0.91 35.14 .0416 1 0.91 33.18 .0417 1 0.91 33.05 .0418 1 0.91 18.17 .0419 1 0.91 6.41 .0420 1 0.91 5.26 .0421 1 0.91 4.48 .0422 1 0.91 3.71 .0423 1 0.91 2.86 .0424 1 0.91 2.30 .0425 1 0.91 1.82 .0426 1 0.91 1.72 .0427 1 0.91 1.56 .0428 2 0.91 1.62 .0429 1 0.91 1.55 .0430 1 0.91 1.35 .0431 1 0.91 1.46 .0432 1 0.91 1.37 .0433 1 0.91 1.33 .0434 1 0.91 1.31 .0435 1 0.91 1.26 .0436 1 0.91 1.27 .0437 1 0.91 1.32 .0438 1 0.91 1.32 .0439 1 0.91 1.25 .0440 1 0.91 1.26 .0441 1 0.91 1.14 .0442 1 0.91 1.24 .0443 1 0.91 1.21 .0444 1 0.91 1.26 .0445 1 0.91 1.23 .0446 1 0.91 1.28 .0447 1 0.91 1.75 .0448 1 0.91 2.66 .0449 2 0.91 3.43 .0450 1 0.91 3.73 .0451 1 0.91 4.25 .0452 1 0.91 4.53 .0453 1 0.91 5.30 .0454 1 0.91 6.19 .0455 1 0.91 7.05 .0456 1 0.91 7.49 .0457 1 0.91 7.44 .0458 1 0.91 6.95 .0459 1 0.91 6.90 .0460 1 0.91 6.85 .0461 1 0.91 6.85 .0462 1 0.91 7.55 .0463 1 0.91 6.81 .0464 1 0.91 7.23 .0465 1 0.91 8.54 .0466 1 0.91 9.38 .0467 1 0.91 9.57 .0468 1 0.91 10.47 .0469 1 0.91 11.69 .0470 1 0.91 11.92 .0471 1 0.91 13.59 .0472 2 0.91 11.18 .0473 1 0.91 13.91 .0474 1 0.91 14.99 .0475 1 0.91 13.68 .0476 1 0.91 13.87 .0477 1 0.91 14.59 .0478 1 0.91 14.46 .0479 1 0.91 17.92 .0480 1 0.91 23.41 .0481 1 0.91 17.70 .0482 1 0.91 15.75 .0483 1 0.91 16.46 .0484 1 0.91 9.93 .0485 1 0.91 4.27 .0486 1 0.91 4.23 .0487 1 0.91 4.18 .0488 1 0.91 3.92 .0489 1 0.91 3.27 .0490 1 0.91 3.80 .0491 1 0.91 3.76 .0492 1 0.91 3.59 .0493 2 0.91 3.74 .0494 1 0.91 3.74 .0495 1 0.91 3.78 .0496 1 0.91 4.65 .0497 1 0.91 5.50 .0498 1 0.91 4.28 .0499 1 0.91 3.95 .0500 1 0.91 4.21 .0501 2 0.91 1.48 .0502 1 0.91 1.35 .0503 1 0.91 1.27 .0504 1 0.91 1.18 .0505 1 0.91 1.16 .0506 1 0.91 1.48 .0507 1 0.91 1.48 .0508 1 0.91 1.71 .0509 1 0.91 1.89 .0510 1 0.91 2.21 .0511 1 0.91 2.30 .0512 2 0.91 2.60 .0513 1 0.91 2.48 .0514 1 0.91 2.85 .0515 1 0.91 3.74 .0516 2 0.91 2.91 .0517 1 0.91 2.98 .0518 1 0.91 2.66 .0519 1 0.91 2.79 .0520 1 0.91 2.83 .0521 1 0.91 2.54 .0522 1 0.91 2.66 .0523 1 0.91 2.86 .0524 1 0.91 3.25 .0525 1 0.91 3.74 .0526 1 0.91 3.39 .0527 1 0.91 4.08 .0528 1 0.91 4.26 .0529 2 0.91 4.45 .0530 1 0.91 3.91 .0531 2 0.91 4.23 .0532 1 0.91 4.81 .0533 1 0.91 4.44 .0534 1 0.91 4.52 .0535 1 0.91 4.43 .0536 1 0.91 4.73 .0537 1 0.91 5.26 .0538 1 0.91 7.14 .0539 1 0.91 6.24 .0540 1 0.91 5.43 .0541 1 0.91 5.61 .0542 1 0.91 2.95 .0543 1 0.91 1.49 .0544 1 0.91 1.39 .0545 1 0.91 1.25 .0546 1 0.91 1.22 .0547 1 0.91 1.25 .0548 1 0.91 1.12 .0549 1 0.91 1.12 .0550 1 0.91 1.14 .0551 1 0.91 1.06 .0552 1 0.91 1.08 .0553 1 0.91 1.12 .0554 1 0.91 1.10 .0555 1 0.91 1.20 .0556 1 0.91 1.88 .0557 1 0.91 2.43 .0558 1 0.91 2.75 .0559 1 0.91 3.09 .0560 1 0.91 3.73 .0561 1 0.91 4.05 .0562 1 0.91 4.34 .0563 1 0.91 4.59 .0564 1 0.91 5.10 .0565 1 0.91 5.30 .0566 1 0.91 5.48 .0567 1 0.91 4.95 .0568 1 0.91 4.96 .0569 2 0.91 5.44 .0570 1 0.91 5.31 .0571 1 0.91 4.69 .0572 1 0.91 5.74 .0573 3 0.91 5.79 .0574 1 0.91 6.08 .0575 1 0.91 6.48 .0576 1 0.91 6.00 .0577 1 0.91 7.47 .0578 1 0.91 8.18 .0579 1 0.91 7.42 .0580 1 0.91 7.65 .0581 1 0.91 8.83 .0582 1 0.91 9.63 .0583 1 0.91 9.20 .0584 1 0.91 9.46 .0585 1 0.91 9.89 .0586 1 0.91 11.70 .0587 1 0.91 13.29 .0588 1 0.91 14.98 .0589 2 0.91 11.23 .0590 2 0.91 10.75 .0591 1 0.91 11.20 .0592 1 0.91 3.97 .0593 1 0.91 3.71 .0594 1 0.91 3.48 .0595 1 0.91 3.34 .0596 1 0.91 3.28 .0597 1 0.91 3.79 .0598 1 0.91 3.79 .0599 1 0.91 4.23 .0600 1 0.91 3.96 .0601 1 0.91 4.92 .0602 1 0.91 6.20 .0603 1 0.91 5.04 .0604 1 0.91 5.07 .0605 1 0.91 5.48 .0606 1 0.91 6.02 .0607 1 0.91 5.90 .0608 1 0.91 5.86 .0609 1 0.91 6.03 .0610 1 0.91 6.09 .0611 1 0.91 7.71 .0612 1 0.91 8.69 .0613 1 0.91 6.52 .0614 1 0.91 5.79 .0615 1 0.91 6.05 .0616 1 0.91 1.89 .0617 2 0.91 1.67 .0618 1 0.91 1.43 .0619 1 0.91 1.36 .0620 1 0.91 1.35 .0621 1 0.91 1.14 .0622 1 0.91 1.15 .0623 1 0.91 1.20 .0624 1 0.91 1.12 .0625 1 0.91 1.11 .0626 1 0.91 1.12 .0627 1 0.91 1.09 .0628 1 0.91 1.21 .0629 2 0.91 1.09 .0630 1 0.91 1.06 .0631 1 0.91 1.08 .0632 1 0.91 1.18 .0633 1 0.91 1.07 .0634 1 0.91 1.14 .0635 1 0.91 1.09 .0636 1 0.91 1.05 .0637 1 0.91 1.10 .0638 1 0.91 1.09 .0639 1 0.91 1.08 .0640 2 0.91 1.04 .0641 3 0.91 1.19 .0642 1 0.91 1.05 .0643 1 0.91 1.09 .0644 1 0.91 1.15 .0645 1 0.91 1.09 .0646 1 0.91 1.05 .0647 1 0.91 1.12 .0648 1 0.91 1.07 .0649 1 0.91 1.12 .0650 1 0.91 1.10 .0651 1 0.91 1.09 .0652 3 0.91 1.04 .0653 1 0.91 1.05 .0654 1 0.91 1.12 .0655 1 0.91 1.16 .0656 1 0.91 1.01 .0657 1 0.91 1.07 .0658 1 0.91 1.04 .0659 1 0.91 1.05 .0660 1 0.91 1.08 .0661 3 0.91 1.15 .0662 3 0.91 1.07 .0663 1 0.91 1.15 .0664 1 0.91 1.06 .0665 1 0.91 0.98 .0666 1 0.91 1.10 .0667 1 0.91 1.11 .0668 1 0.91 1.15 .0669 1 0.91 1.01 .0670 1 0.91 1.04 .0671 1 0.91 1.06 .0672 1 0.91 1.14 .0673 1 0.91 1.11 .0674 2 0.91 1.13 .0675 3 0.91 1.20 .0676 1 0.91 1.03 .0677 1 0.91 1.06 .0678 2 0.91 1.07 .0679 3 0.91 1.14 .0680 1 0.91 1.17 .0681 2 0.91 1.11 .0682 1 0.91 1.04 .0683 2 0.91 1.05 .0684 1 0.91 1.26 .0685 1 0.91 1.02 .0686 1 0.91 1.09 .0687 1 0.91 1.07 .0688 1 0.91 1.05 .0689 1 0.91 1.06 .0690 1 0.91 1.03 .0691 1 0.91 1.10 .0692 1 0.91 1.08 .0693 1 0.91 1.02 .0694 1 0.91 1.05 .0695 1 0.91 1.07 .0696 1 0.91 1.11 .0697 1 0.91 1.07 .0698 1 0.91 1.05 .0699 1 0.91 1.13 .0700 1 0.91 1.04 .0701 1 0.91 1.13 .0702 1 0.91 1.13 .0703 3 0.91 1.10 .0704 1 0.91 1.11 .0705 1 0.91 1.09 .0706 1 0.91 1.17 .0707 1 0.91 1.14 .0708 1 0.91 1.15 .0709 2 0.91 1.28 .0710 1 0.91 1.17 .0711 1 0.91 1.32 .0712 1 0.91 1.89 .0713 1 0.91 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0.93 1.21 .1823 1 0.93 1.27 .1824 2 0.93 1.22 .1825 1 0.93 1.28 .1826 1 0.93 1.16 .1827 1 0.93 1.22 .1828 1 0.93 1.22 .1829 1 0.93 1.22 .1830 1 0.93 1.20 .1831 1 0.93 1.13 .1832 1 0.93 1.20 .1833 2 0.93 1.17 .1834 3 0.93 1.13 .1835 1 0.93 1.15 .1836 1 0.93 1.20 .1837 1 0.93 1.16 .1838 1 0.93 1.10 .1839 1 0.93 1.17 .1840 2 0.93 1.17 .1841 2 0.93 1.24 .1842 1 0.93 1.19 .1843 1 0.93 1.18 .1844 1 0.93 1.22 .1845 1 0.93 1.21 .1846 1 0.93 1.18 .1847 1 0.93 1.15 .1848 1 0.93 1.22 .1849 1 0.93 1.16 .1850 1 0.93 1.24 .1851 1 0.93 1.25 .1852 1 0.93 1.14 .1853 2 0.93 1.27 .1854 1 0.93 1.40 .1855 1 0.93 1.25 .1856 1 0.93 1.23 .1857 1 0.93 1.25 .1858 1 0.93 1.26 .1859 1 0.93 1.29 .1860 1 0.93 1.24 .1861 1 0.93 1.22 .1862 1 0.93 1.22 .1863 1 0.93 1.25 .1864 1 0.93 1.22 .1865 1 0.93 1.22 .1866 1 0.93 1.21 .1867 1 0.93 1.06 .1868 1 0.93 1.17 .1869 1 0.93 1.21 .1870 1 0.93 1.11 .1871 1 0.93 1.13 .1872 1 0.93 1.12 .1873 1 0.93 1.15 .1874 1 0.93 1.09 .1875 1 0.93 1.14 .1876 1 0.93 1.16 .1877 1 0.93 1.23 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0.93 1.19 .1934 1 0.93 1.13 .1935 1 0.93 1.10 .1936 1 0.93 1.07 .1937 2 0.93 1.21 .1938 3 0.93 1.22 .1939 2 0.93 1.25 .1940 1 0.93 1.16 .1941 1 0.93 1.11 .1942 1 0.93 1.15 .1943 2 0.93 1.14 .1944 2 0.93 1.25 .1945 1 0.93 1.15 .1946 1 0.93 1.06 .1947 1 0.93 1.11 .1948 1 0.93 1.11 .1949 1 0.93 1.18 .1950 1 0.93 1.13 .1951 1 0.93 1.09 .1952 1 0.93 1.10 .1953 1 0.93 1.20 .1954 1 0.93 1.19 .1955 1 0.93 1.15 .1956 1 0.93 1.17 .1957 1 0.93 1.17 .1958 2 0.93 1.22 .1959 4 0.93 1.19 .1960 1 0.93 1.21 .1961 1 0.93 1.13 .1962 1 0.93 1.13 .1963 1 0.93 1.14 .1964 2 0.93 1.16 .1965 1 0.93 1.15 .1966 1 0.93 1.15 .1967 1 0.93 1.16 .1968 1 0.93 1.12 .1969 1 0.93 1.18 .1970 2 0.93 1.22 .1971 2 0.93 1.10 .1972 2 0.93 1.36 .1973 3 0.93 1.16 .1974 4 0.93 1.25 .1975 3 0.93 1.12 .1976 3 0.93 1.18 .1977 3 0.93 1.36 .1978 3 0.93 1.23 .1979 3 0.93 1.29 .1980 3 0.93 1.23 .1981 1 0.93 1.39 .1982 3 0.93 1.12 .1983 1 0.93 1.17 .1984 2 0.93 1.21 .1985 1 0.93 1.18 .1986 2 0.93 1.22 .1987 3 0.93 1.15 .1988 2 0.93 1.22 .1989 2 0.93 1.10 .1990 3 0.93 1.19 .1991 3 0.93 1.17 .1992 1 0.93 1.19 .1993 1 0.93 1.16 .1994 1 0.93 1.41 .1995 2 0.93 1.31 .1996 1 0.93 1.16 .1997 1 0.93 1.19 .1998 1 0.93 1.20 .1999 1 0.93 1.14 .2000 1 0.93 1.20 .2001 1 0.93 1.18 .2002 1 0.93 1.15 .2003 2 0.93 1.12 .2004 1 0.93 1.18 .2005 1 0.93 1.23 .2006 1 0.93 1.32 .2007 1 0.93 1.22 .2008 1 0.93 1.26 .2009 1 0.93 1.39 .2010 3 0.93 1.22 .2011 1 0.93 1.16 .2012 1 0.93 1.15 .2013 1 0.93 1.17 .2014 1 0.93 1.20 .2015 1 0.93 1.18 .2016 1 0.93 1.13 .2017 1 0.93 1.18 .2018 1 0.93 1.28 .2019 2 0.93 1.16 .2020 1 0.93 1.19 .2021 1 0.93 1.19 .2022 1 0.93 1.08 .2023 1 0.93 1.21 .2024 1 0.93 1.15 .2025 1 0.93 1.15 .2026 1 0.93 1.16 .2027 1 0.93 1.15 .2028 2 0.93 1.27 .2029 1 0.93 1.31 .2030 1 0.93 1.17 .2031 1 0.93 1.20 .2032 1 0.93 1.07 .2033 1 0.93 1.07 .2034 1 0.93 1.21 .2035 1 0.93 1.20 .2036 1 0.93 1.19 .2037 2 0.93 1.25 .2038 2 0.93 1.12 .2039 1 0.93 1.25 .2040 1 0.93 1.19 .2041 1 0.93 1.18 .2042 1 0.93 1.21 .2043 1 0.93 1.20 .2044 1 0.93 1.22 .2045 1 0.93 1.22 .2046 1 0.93 1.18 .2047 1 0.93 1.15 EXTRACT_IMAGE: r1: masked 380 pixels SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r1: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r1: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Searching about coefficients = 3.86684 0.10142 -0.00449 -0.00022 ARCFIT_ITER: r1: Searching lags from -151 to 151 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Initial wavelength fit = 3.86684 0.10142 -0.00449 -0.00026 ARCFIT_GUESS: r1: Initial correlation = 0.764924 FITARCIMAGE_GLOBAL: r1: Best correlation = 0.764924 FITARCIMAGE_GLOBAL: r1: ASET = 3.86684 0.10142 -0.00449 -0.00026 SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Tracing 36 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 35 320 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Iterating flux-weighted centers . 0 320 0.128 . 1 320 0.126 . 2 320 0.130 . 3 320 0.125 . 4 320 0.126 . 5 320 0.124 . 6 320 0.126 . 7 320 0.134 . 8 320 0.133 . 9 320 0.126 . 10 320 0.121 . 11 320 0.128 . 12 320 0.125 . 13 320 0.119 . 14 320 0.123 . 15 320 0.128 . 16 320 0.124 . 17 320 0.127 . 18 320 0.120 . 19 320 0.119 . 20 320 0.130 . 21 320 0.124 . 22 320 0.128 . 23 320 0.131 . 24 320 0.130 . 25 320 0.118 . 26 320 0.119 . 27 320 0.137 . 28 320 0.123 . 29 320 0.123 . 30 320 0.121 . 31 320 0.127 . 32 320 0.121 . 33 320 0.129 . 34 320 0.129 . 35 320 0.124 . 36 320 0.125 . 37 320 0.128 . 38 320 0.127 . 39 320 0.133 . 40 320 0.121 . 41 320 0.123 . 42 320 0.131 . 43 320 0.126 . 44 320 0.135 . 45 320 0.113 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 46 31 206.94000 10.422875 0.75828054 0.0000000 50432.778 1 . 46 320 0.158 . 47 320 0.129 . 48 320 0.125 . 49 320 0.133 . 50 320 0.130 . 51 320 0.132 . 52 320 0.131 . 53 320 0.134 . 54 320 0.130 . 55 320 0.135 . 56 320 0.132 . 57 320 0.126 . 58 320 0.125 . 59 320 0.126 . 60 320 0.123 . 61 320 0.136 . 62 320 0.129 . 63 320 0.134 . 64 320 0.126 . 65 320 0.120 . 66 320 0.122 . 67 320 0.124 . 68 320 0.123 . 69 320 0.128 . 70 320 0.136 . 71 320 0.134 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 72 0 -2.3481415 3.6535865 0.50003151 -0.0000000 7.8665359 1 . 72 320 0.133 . 73 320 0.122 . 74 320 0.125 . 75 320 0.126 . 76 320 0.124 . 77 320 0.129 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 78 0 -2.0728858 0.23784106 . 78 320 0.129 . 79 320 0.131 . 80 320 0.125 . 81 320 0.118 . 82 320 0.135 . 83 320 0.130 . 84 320 0.135 . 85 320 0.122 . 86 320 0.130 . 87 320 0.123 . 88 320 0.128 . 89 320 0.131 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 0 -4.2561300 3.0335468 1.3066613 -0.0000000 8.8781716 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -11.370345 3.4580452 0.63353478 -0.0000000 7.4089823 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -5.5949872 3.5573374 0.52522049 -0.0000000 7.4852516 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 3 -3.4217971 4.1632360 0.33865991 0.40520199 8.6299785 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 4 2.6334365 2.9028343 0.71126984 -0.0000000 9.1667605 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 9 -8.9942525 0.24564494 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 11 -27.693399 0.26356954 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 22 -17.796739 0.25916874 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 23 -7.2604989 3.8231744 1.4788460 -0.0000000 7.7092678 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 24 -9.7856811 3.5712377 0.43006818 0.49275404 10.016424 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 25 -6.1190547 3.1277111 0.51067737 -0.0000000 9.1751329 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 26 -9.2605036 3.9041200 0.60392159 -0.0000000 8.0599830 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 27 -9.1671985 2.7734610 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 28 -8.4181755 3.3808292 1.3522505 -0.0000000 9.7047456 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 29 -18.723792 4.4568149 0.53988000 -0.0000000 9.0659878 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 30 -18.743685 4.3272895 0.64406079 -0.0000000 8.8888778 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 31 -23.173945 4.1409259 0.57520649 0.61808434 9.5247730 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 32 -29.254758 4.3894623 0.53106109 0.61266978 9.0886243 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 33 -30.179784 5.4231123 0.37589603 0.48630838 9.0461777 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 34 -17.928261 2.9907689 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 35 -16.963390 3.5276314 0.30101544 -0.0000000 11.556968 1 . 90 320 0.252 . 91 320 0.123 . 92 320 0.127 . 93 320 0.130 . 94 320 0.126 . 95 320 0.131 . 96 320 0.128 . 97 320 0.132 . 98 320 0.123 . 99 320 0.127 . 100 320 0.120 . 101 320 0.128 . 102 320 0.122 . 103 320 0.121 . 104 320 0.121 . 105 320 0.118 . 106 320 0.122 . 107 320 0.125 . 108 320 0.129 . 109 320 0.122 . 110 320 0.128 . 111 320 0.126 . 112 320 0.138 . 113 320 0.133 . 114 320 0.133 . 115 320 0.130 . 116 320 0.131 . 117 320 0.137 . 118 320 0.134 . 119 320 0.133 . 120 320 0.137 . 121 320 0.133 . 122 320 0.135 . 123 320 0.132 . 124 320 0.132 . 125 320 0.136 . 126 320 0.131 . 127 320 0.138 . 128 320 0.139 . 129 320 0.141 . 130 320 0.130 . 131 320 0.127 . 132 320 0.132 . 133 320 0.129 . 134 320 0.133 . 135 320 0.132 . 136 320 0.132 . 137 320 0.132 . 138 320 0.131 . 139 320 0.135 . 140 320 0.134 . 141 320 0.134 . 142 320 0.141 . 143 320 0.129 . 144 320 0.130 . 145 320 0.140 . 146 320 0.128 . 147 320 0.131 . 148 320 0.127 . 149 320 0.129 . 150 320 0.127 . 151 320 0.130 . 152 320 0.129 . 153 320 0.129 . 154 320 0.127 . 155 320 0.133 . 156 320 0.134 . 157 320 0.136 . 158 320 0.135 . 159 320 0.127 . 160 320 0.139 . 161 320 0.129 . 162 320 0.138 . 163 320 0.135 . 164 320 0.140 . 165 320 0.138 . 166 320 0.204 . 167 320 0.130 . 168 320 0.127 . 169 320 0.132 . 170 320 0.133 . 171 320 0.133 . 172 320 0.132 . 173 320 0.084 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 174 30 253.58984 8.3782722 0.0000000 0.0000000 0.0000000 3 . 174 320 0.098 . 175 320 0.129 . 176 320 0.128 . 177 320 0.133 . 178 320 0.127 . 179 320 0.138 . 180 320 0.137 . 181 320 0.132 . 182 320 0.139 . 183 320 0.132 . 184 320 0.136 . 185 320 0.132 . 186 320 0.128 . 187 320 0.123 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 188 30 205.54556 13.378727 0.78008818 0.94694671 24.973920 1 . 188 320 0.148 . 189 320 0.125 . 190 320 0.134 . 191 320 0.131 . 192 320 0.131 . 193 320 0.128 . 194 320 0.144 . 195 320 0.136 . 196 320 0.130 . 197 320 0.140 . 198 320 0.143 . 199 320 0.135 . 200 320 0.143 . 201 320 0.138 . 202 320 0.132 . 203 320 0.136 . 204 320 0.128 . 205 320 0.132 . 206 320 0.131 . 207 320 0.126 . 208 320 0.128 . 209 320 0.131 . 210 320 0.133 . 211 320 0.129 . 212 320 0.134 . 213 320 0.129 . 214 320 0.128 . 215 320 0.143 . 216 320 0.129 . 217 320 0.134 . 218 320 0.132 . 219 320 0.130 . 220 320 0.131 . 221 320 0.132 . 222 320 0.136 . 223 320 0.143 . 224 320 0.134 . 225 320 0.132 . 226 320 0.134 . 227 320 0.135 . 228 320 0.137 . 229 320 0.133 . 230 320 0.135 . 231 320 0.124 . 232 320 0.131 . 233 320 0.129 . 234 320 0.130 . 235 320 0.132 . 236 320 0.129 . 237 320 0.142 . 238 320 0.133 . 239 320 0.134 . 240 320 0.133 . 241 320 0.134 . 242 320 0.134 . 243 320 0.136 . 244 320 0.133 . 245 320 0.134 . 246 320 0.131 . 247 320 0.130 . 248 320 0.126 . 249 320 0.081 . 250 320 0.142 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 0 -7.6435034 4.1387490 0.46981326 0.60242786 6.6660071 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -8.4734272 3.2195365 0.51412104 0.59586944 7.2436147 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -6.6426659 3.0274746 0.36617504 0.39980089 8.1134832 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -9.6458828 3.0787110 0.35188541 0.37638230 7.6468174 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 5 -33.390734 0.21624548 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 6 -9.6764600 2.7186626 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 8 -5.6606193 0.23705580 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 9 -2.1426581 2.5119472 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 11 -27.412773 0.21084826 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 22 -15.683703 0.20483199 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 23 -7.2497180 3.3798527 0.58264620 -0.0000000 7.4296618 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 24 -7.5471817 3.3770759 0.74946407 -0.0000000 7.2357113 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 25 -10.946540 3.1897690 0.39804275 0.45219694 8.1286536 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 26 -6.7396737 2.4338263 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 27 -12.895485 2.9356017 0.65435519 -0.0000000 8.9590779 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 28 -3.5261164 3.1749534 2.5271096 -0.0000000 9.7964381 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 29 -23.931269 3.2788716 0.36997234 -0.0000000 10.363962 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 30 -13.126510 3.3877382 0.37184926 -0.0000000 11.034164 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 31 -13.088847 2.8990286 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 32 -14.647790 3.9841332 0.57782457 -0.0000000 8.2932128 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 33 -24.449076 3.3542325 0.35382069 -0.0000000 9.7679841 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 34 -20.391740 3.7146618 0.73515498 -0.0000000 7.7977742 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 35 -19.357883 3.2352599 0.39405485 -0.0000000 10.621614 1 . 251 320 0.240 . 252 320 0.132 . 253 320 0.124 . 254 320 0.129 . 255 320 0.127 . 256 320 0.131 . 257 320 0.135 . 258 320 0.137 . 259 320 0.134 . 260 320 0.127 . 261 320 0.130 . 262 320 0.122 . 263 320 0.128 . 264 320 0.132 . 265 320 0.131 . 266 320 0.129 . 267 320 0.133 . 268 320 0.131 . 269 320 0.143 . 270 320 0.135 . 271 320 0.133 . 272 320 0.139 . 273 320 0.128 . 274 320 0.126 . 275 320 0.135 . 276 320 0.128 . 277 320 0.125 . 278 320 0.132 . 279 320 0.136 . 280 320 0.126 . 281 320 0.131 . 282 320 0.130 . 283 320 0.128 . 284 320 0.140 . 285 320 0.134 . 286 320 0.124 . 287 320 0.126 . 288 320 0.125 . 289 320 0.125 . 290 320 0.124 . 291 320 0.133 . 292 320 0.127 . 293 320 0.130 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 1 -4.7760637 3.0739013 0.39107652 -0.0000000 6.6301077 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 2 -2.3090104 2.6421530 0.33379968 -0.0000000 8.2557750 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 3 3.8932613 0.29320801 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 4 0.22576125 3.4589027 0.40643000 0.47591316 7.6811462 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 5 -6.2448620 0.23720579 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 9 -5.7667420 3.3991851 0.39395002 -0.0000000 7.0907483 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 20 -18.987186 3.4771945 0.30981837 -0.0000000 7.5944783 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 23 -2.7603260 2.9009813 0.71068491 -0.0000000 8.9988211 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 24 -5.7540283 2.9292762 0.91055848 -0.0000000 8.2616165 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 25 -4.7798525 3.0520109 0.46665364 0.48727394 8.8101766 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 26 -9.9286172 2.9083278 0.59496566 0.56520660 8.9292248 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 27 -18.528024 3.8198154 0.45247476 0.52730846 7.5963705 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 28 -15.007233 3.0162633 0.43001965 -0.0000000 9.5154253 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 29 -29.381114 0.28095189 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 30 -17.655855 2.8755168 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 31 -22.527753 0.29712709 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 32 -22.539655 2.8018941 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 33 -25.057858 3.9306478 0.64196768 -0.0000000 7.9686310 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 34 -18.315902 2.7590299 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 35 -22.359270 2.6932843 0.0000000 0.0000000 0.0000000 4 . 294 320 0.215 . 295 320 0.128 . 296 320 0.122 . 297 320 0.129 . 298 320 0.135 . 299 320 0.126 . 300 320 0.132 . 301 320 0.124 . 302 320 0.133 . 303 320 0.129 . 304 320 0.120 . 305 320 0.127 . 306 320 0.134 . 307 320 0.137 . 308 320 0.127 . 309 320 0.126 . 310 320 0.121 . 311 320 0.129 . 312 320 0.134 . 313 320 0.126 . 314 320 0.125 . 315 320 0.124 . 316 320 0.112 . 317 320 0.133 . 318 320 0.124 . 319 320 0.117 FITARCIMAGE_GLOBAL: r1: Discarding trace 0, at 5790.6630 with 196 centroids too close to an edge FITARCIMAGE_GLOBAL: r1: Line 1, at 5852.4880 Ang: ERR= 0.0105127 ERR_RMS= 0.000884718 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 2, at 5881.8950 Ang: ERR= 0.0108991 ERR_RMS= 0.000893418 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 3, at 5944.8340 Ang: ERR= 0.00736294 ERR_RMS= 0.0189616 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 4, at 6029.9970 Ang: ERR= 0.0142424 ERR_RMS= 0.00131743 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 5, at 6074.3380 Ang: ERR= 0.00692921 ERR_RMS= 0.0202596 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 6, at 6096.1630 Ang: ERR= 0.00521238 ERR_RMS= 0.0122660 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 7, at 6143.0630 Ang: ERR= 0.00349802 ERR_RMS= 0.00726807 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 8, at 6163.5940 Ang: ERR= 0.00637042 ERR_RMS= 0.0177928 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 9, at 6217.2810 Ang: ERR= 0.00843110 ERR_RMS= 0.0133837 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 10, at 6266.4950 Ang: ERR= 0.00477279 ERR_RMS= 0.0131031 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 11, at 6304.7890 Ang: ERR= 0.00754677 ERR_RMS= 0.0197219 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 12, at 6334.4280 Ang: ERR= 0.00377951 ERR_RMS= 0.00870926 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 13, at 6382.9920 Ang: ERR= 0.00368220 ERR_RMS= 0.00914160 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 14, at 6402.2460 Ang: ERR= 0.00238351 ERR_RMS= 0.00372926 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 15, at 6506.5280 Ang: ERR= 0.00306599 ERR_RMS= 0.00609097 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 16, at 6532.8820 Ang: ERR= 0.00578877 ERR_RMS= 0.0144061 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 17, at 6598.9530 Ang: ERR= 0.00493027 ERR_RMS= 0.0130090 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 18, at 6717.0430 Ang: ERR= 0.00443447 ERR_RMS= 0.00863207 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 19, at 6929.4670 Ang: ERR= 0.00378071 ERR_RMS= 0.00824308 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 20, at 7173.9380 Ang: ERR= 0.00820583 ERR_RMS= 0.00925244 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 21, at 7245.1670 Ang: ERR= 0.00396234 ERR_RMS= 0.00867529 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 22, at 7438.9000 Ang: ERR= 0.00824152 ERR_RMS= 0.0197524 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 23, at 7488.8710 Ang: ERR= 0.0150669 ERR_RMS= 0.00147583 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 24, at 7535.7740 Ang: ERR= 0.0172107 ERR_RMS= 0.00166394 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 25, at 7635.1060 Ang: ERR= 0.0271070 ERR_RMS= 0.00325000 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 26, at 8014.7860 Ang: ERR= 0.0692912 ERR_RMS= 0.0106181 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 27, at 8103.6930 Ang: ERR= 0.0517329 ERR_RMS= 0.00705132 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 28, at 8300.3260 Ang: ERR= 0.0250844 ERR_RMS= 0.00262741 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 29, at 8377.6065 Ang: ERR= 0.00995189 ERR_RMS= 0.0153452 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 30, at 8495.3598 Ang: ERR= 0.0143663 ERR_RMS= 0.00139565 pix, 8 masked. FITARCIMAGE_GLOBAL: r1: Line 31, at 8591.2583 Ang: ERR= 0.0270218 ERR_RMS= 0.0154980 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 32, at 8634.6470 Ang: ERR= 0.0293517 ERR_RMS= 0.00324409 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 33, at 8654.3831 Ang: ERR= 0.0185427 ERR_RMS= 0.00186435 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 34, at 8853.8670 Ang: ERR= 0.0427512 ERR_RMS= 0.00486404 pix, 4 masked. FITARCIMAGE_GLOBAL: r1: Line 35, at 9122.9674 Ang: ERR= 0.0815518 ERR_RMS= 0.0116961 pix, 8 masked. FITARCIMAGE_GLOBAL: r1: Number of good arc lines: 35 FITARCIMAGE_GLOBAL: r1: Number of arclines = 35 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 1 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 1 27 35 2 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 3 46 35 3 47 35 1 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 1 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 1 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 23 91 35 0 92 35 0 93 35 0 94 35 0 95 35 1 96 35 0 97 35 0 98 35 1 99 35 0 100 35 0 101 35 0 102 35 0 103 35 1 104 35 1 105 35 1 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 1 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 1 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 1 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 1 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 1 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 1 173 35 13 174 35 9 175 35 1 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 1 188 35 3 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 1 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 1 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 1 223 35 0 224 35 1 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 1 248 35 2 249 35 14 250 35 0 251 35 22 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 1 268 35 1 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 19 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 1 304 35 2 305 35 1 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 5 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 147 Pass 1 complete FITARCIMAGE_GLOBAL: r1: Number of arclines after bundle test = 35 FITARCLINES: r1: ncoeffs (x,y): 4 5 FITARCLINES: r1: fit rchi2: 0.073038016 FITARCLINES: r1: offset stddev: 320 2.4614466e-13 FITARCLINES: r1: scale stddev: 320 5.6464192e-13 FITARCLINES: r1: poly x,y,stddev: 0 0 5.1938366e-07 FITARCLINES: r1: poly x,y,stddev: 1 0 1.5434865e-06 FITARCLINES: r1: poly x,y,stddev: 2 0 1.2448560e-06 FITARCLINES: r1: poly x,y,stddev: 3 0 2.4715673e-06 FITARCLINES: r1: poly x,y,stddev: 0 1 3.7629516e-07 FITARCLINES: r1: poly x,y,stddev: 1 1 1.1228291e-06 FITARCLINES: r1: poly x,y,stddev: 2 1 9.0794350e-07 FITARCLINES: r1: poly x,y,stddev: 3 1 1.8031098e-06 FITARCLINES: r1: poly x,y,stddev: 0 2 2.5499800e-07 FITARCLINES: r1: poly x,y,stddev: 1 2 7.4767807e-07 FITARCLINES: r1: poly x,y,stddev: 2 2 5.9147105e-07 FITARCLINES: r1: poly x,y,stddev: 3 2 1.1795891e-06 FITARCLINES: r1: correcting per-fiber coefficients for fibers: 239 251 260 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: BADARC lines masked: 239 251 260 FITARCIMAGE_GLOBAL: r1: IVAR=0 centroids masked: 120 Final arcfit complete FITARCIMAGE_GLOBAL: r1: Time 58. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 2 1.00 8.50 .0001 3 1.00 7.18 .0002 2 1.00 8.95 .0003 2 1.00 8.29 .0004 3 1.00 7.53 .0005 3 1.00 8.12 .0006 2 1.00 8.93 .0007 3 1.00 8.39 .0008 2 1.00 9.56 .0009 3 1.00 8.58 .0010 3 1.00 7.60 .0011 2 1.00 7.95 .0012 2 1.00 7.67 .0013 3 1.00 7.16 .0014 3 1.00 7.00 .0015 2 1.00 8.47 .0016 2 1.00 8.33 .0017 3 1.00 7.41 .0018 3 1.00 7.40 .0019 3 1.00 7.33 .0020 3 1.00 7.44 .0021 3 1.00 7.55 .0022 2 1.00 7.85 .0023 3 1.00 7.56 .0024 3 1.00 8.65 .0025 3 1.00 7.62 .0026 3 1.00 7.26 .0027 2 1.00 8.17 .0028 2 1.00 8.72 .0029 3 1.00 7.40 .0030 3 1.00 7.63 .0031 3 1.00 8.11 .0032 3 1.00 7.22 .0033 2 1.00 7.62 .0034 2 1.00 7.90 .0035 3 1.00 7.42 .0036 3 1.00 7.03 .0037 3 1.00 7.36 .0038 2 1.00 8.41 .0039 2 1.00 8.15 .0040 3 1.00 7.84 .0041 3 1.00 7.56 .0042 3 1.00 7.98 .0043 3 1.00 8.08 .0044 2 1.00 9.21 .0045 4 1.00 6.49 .0046 3 1.00 7.17 .0047 3 1.00 8.46 .0048 3 1.00 7.33 .0049 3 1.00 7.78 .0050 3 1.00 7.53 .0051 3 1.00 7.90 .0052 2 1.00 9.37 .0053 3 1.00 8.49 .0054 3 1.00 6.64 .0055 3 1.00 8.66 .0056 2 1.00 10.27 .0057 2 1.00 9.60 .0058 4 1.00 6.75 .0059 3 1.00 6.58 .0060 3 1.00 8.04 .0061 3 1.00 7.57 .0062 3 1.00 8.26 .0063 3 1.00 7.47 .0064 3 1.00 7.97 .0065 3 1.00 6.93 .0066 3 1.00 8.07 .0067 3 1.00 7.58 .0068 3 1.00 8.34 .0069 3 1.00 8.05 .0070 3 1.00 7.85 .0071 3 1.00 7.60 .0072 5 1.00 7.09 .0073 3 1.00 7.45 .0074 3 1.00 6.89 .0075 3 1.00 7.76 .0076 3 1.00 6.99 .0077 3 1.00 8.48 .0078 5 1.00 7.09 .0079 3 1.00 7.35 .0080 3 1.00 6.67 .0081 3 1.00 6.22 .0082 3 1.00 7.81 .0083 3 1.00 6.70 .0084 3 1.00 5.40 .0085 3 1.00 6.14 .0086 4 1.00 6.78 .0087 3 1.00 6.72 .0088 3 1.00 6.60 .0089 5 1.00 5.75 .0090 1 1.00 0.93 .0091 3 1.00 1.88 .0092 4 1.00 5.68 .0093 3 1.00 6.71 .0094 3 1.00 6.32 .0095 3 1.00 7.12 .0096 3 1.00 6.37 .0097 3 1.00 6.59 .0098 3 1.00 5.24 .0099 2 1.00 5.37 .0100 4 1.00 5.93 .0101 4 1.00 7.04 .0102 3 1.00 7.30 .0103 4 1.00 6.95 .0104 4 1.00 6.29 .0105 4 1.00 6.57 .0106 4 1.00 5.95 .0107 3 1.00 6.13 .0108 4 1.00 6.74 .0109 3 1.00 6.02 .0110 3 1.00 6.68 .0111 3 1.00 5.76 .0112 3 1.00 8.30 .0113 3 1.00 7.62 .0114 3 1.00 7.99 .0115 3 1.00 7.54 .0116 4 1.00 6.00 .0117 3 1.00 7.39 .0118 3 1.00 7.70 .0119 3 1.00 7.26 .0120 5 1.00 5.91 .0121 3 1.00 6.83 .0122 2 1.00 8.61 .0123 3 1.00 7.24 .0124 3 1.00 8.28 .0125 4 1.00 6.91 .0126 4 1.00 6.44 .0127 3 1.00 8.39 .0128 3 1.00 7.48 .0129 3 1.00 8.80 .0130 3 1.00 8.32 .0131 3 1.00 7.46 .0132 3 1.00 7.90 .0133 4 1.00 6.07 .0134 4 1.00 5.78 .0135 3 1.00 7.41 .0136 3 1.00 7.47 .0137 3 1.00 7.50 .0138 3 1.00 7.44 .0139 3 1.00 7.29 .0140 3 1.00 8.11 .0141 3 1.00 7.57 .0142 3 1.00 6.31 .0143 3 1.00 8.11 .0144 3 1.00 7.69 .0145 3 1.00 7.06 .0146 4 1.00 6.55 .0147 5 1.00 6.20 .0148 6 1.00 5.58 .0149 4 1.00 6.92 .0150 5 1.00 6.85 .0151 3 1.00 7.27 .0152 3 1.00 7.72 .0153 3 1.00 8.50 .0154 3 1.00 7.06 .0155 3 1.00 8.34 .0156 3 1.00 7.19 .0157 3 1.00 7.27 .0158 3 1.00 7.98 .0159 3 1.00 6.64 .0160 3 1.00 7.54 .0161 3 1.00 7.13 .0162 3 1.00 8.03 .0163 3 1.00 7.26 .0164 4 1.00 6.73 .0165 3 1.00 7.67 .0166 3 1.00 7.28 .0167 4 1.00 6.54 .0168 3 1.00 7.70 .0169 5 1.00 6.78 .0170 3 1.00 8.50 .0171 3 1.00 7.20 .0172 3 1.00 8.13 .0173 6 1.00 1.72 .0174 1 1.00 5.46 .0175 3 1.00 9.05 .0176 3 1.00 7.98 .0177 3 1.00 7.99 .0178 3 1.00 7.66 .0179 3 1.00 8.70 .0180 4 1.00 5.79 .0181 3 1.00 6.16 .0182 3 1.00 6.20 .0183 3 1.00 6.07 .0184 3 1.00 6.57 .0185 3 1.00 6.67 .0186 3 1.00 6.53 .0187 3 1.00 6.18 .0188 3 1.00 6.09 .0189 3 1.00 6.52 .0190 3 1.00 6.89 .0191 3 1.00 6.45 .0192 3 1.00 6.54 .0193 3 1.00 7.56 .0194 3 1.00 6.61 .0195 3 1.00 6.77 .0196 3 1.00 6.60 .0197 3 1.00 7.00 .0198 3 1.00 7.01 .0199 3 1.00 6.88 .0200 3 1.00 8.33 .0201 2 1.00 9.50 .0202 3 1.00 8.29 .0203 3 1.00 8.00 .0204 3 1.00 8.55 .0205 3 1.00 7.24 .0206 3 1.00 6.63 .0207 2 1.00 7.63 .0208 3 1.00 7.13 .0209 3 1.00 8.09 .0210 3 1.00 7.67 .0211 4 1.00 7.38 .0212 3 1.00 8.07 .0213 3 1.00 7.01 .0214 3 1.00 8.08 .0215 3 1.00 8.49 .0216 3 1.00 7.59 .0217 3 1.00 8.21 .0218 3 1.00 8.11 .0219 3 1.00 8.32 .0220 4 1.00 7.24 .0221 3 1.00 8.21 .0222 3 1.00 7.37 .0223 3 1.00 7.76 .0224 3 1.00 7.30 .0225 3 1.00 7.61 .0226 3 1.00 7.58 .0227 3 1.00 8.09 .0228 3 1.00 7.31 .0229 3 1.00 8.16 .0230 3 1.00 7.53 .0231 3 1.00 8.27 .0232 3 1.00 8.01 .0233 3 1.00 8.39 .0234 3 1.00 7.24 .0235 3 1.00 8.05 .0236 3 1.00 8.66 .0237 3 1.00 7.57 .0238 3 1.00 7.96 .0239 2 1.00 140.65 .0240 3 1.00 7.97 .0241 3 1.00 8.24 .0242 3 1.00 7.14 .0243 3 1.00 7.49 .0244 3 1.00 7.74 .0245 3 1.00 7.72 .0246 3 1.00 7.23 .0247 3 1.00 7.45 .0248 3 1.00 6.19 .0249 2 1.00 4.41 .0250 5 1.00 6.44 .0251 1 1.00 1.02 .0252 3 1.00 7.31 .0253 3 1.00 8.25 .0254 3 1.00 8.58 .0255 3 1.00 8.62 .0256 3 1.00 8.60 .0257 3 1.00 6.40 .0258 4 1.00 6.12 .0259 3 1.00 6.13 .0260 2 1.00 7.58 .0261 3 1.00 7.49 .0262 3 1.00 7.00 .0263 2 1.00 7.77 .0264 4 1.00 6.08 .0265 4 1.00 5.13 .0266 5 1.00 5.71 .0267 3 1.00 6.48 .0268 5 1.00 6.06 .0269 3 1.00 7.85 .0270 3 1.00 8.19 .0271 4 1.00 7.42 .0272 4 1.00 6.59 .0273 3 1.00 6.80 .0274 3 1.00 7.90 .0275 3 1.00 8.17 .0276 3 1.00 7.37 .0277 3 1.00 7.30 .0278 4 1.00 6.55 .0279 3 1.00 7.22 .0280 3 1.00 7.94 .0281 3 1.00 8.54 .0282 3 1.00 8.15 .0283 3 1.00 7.34 .0284 2 1.00 9.05 .0285 2 1.00 7.56 .0286 3 1.00 6.96 .0287 3 1.00 7.58 .0288 3 1.00 7.24 .0289 3 1.00 7.96 .0290 3 1.00 7.80 .0291 3 1.00 8.05 .0292 3 1.00 8.37 .0293 3 1.00 7.62 .0294 1 1.00 1.23 .0295 3 1.00 7.71 .0296 3 1.00 7.66 .0297 3 1.00 7.90 .0298 2 1.00 8.68 .0299 4 1.00 7.30 .0300 3 1.00 6.68 .0301 3 1.00 6.68 .0302 3 1.00 6.78 .0303 3 1.00 7.05 .0304 3 1.00 6.27 .0305 3 1.00 6.30 .0306 3 1.00 7.09 .0307 3 1.00 6.84 .0308 4 1.00 6.48 .0309 3 1.00 7.98 .0310 3 1.00 6.98 .0311 4 1.00 6.34 .0312 3 1.00 7.50 .0313 3 1.00 7.11 .0314 3 1.00 7.44 .0315 3 1.00 8.33 .0316 3 1.00 5.90 .0317 3 1.00 6.93 .0318 3 1.00 7.19 .0319 3 1.00 7.99 EXTRACT_IMAGE: r1: masked 699 pixels TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 0 FITDISPERSION: r1: Median wavelength widths = 0.86 0.84 0.87 0.83 pix (LL LR UL UR) SPCALIB: r1: Extracting arc # 2 of 2 SPCALIB: r1: Reading arc sdR-r1-00034757.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.92427 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1181.88 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1161. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.60973 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1232.24 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1212. DN is 0 SDSSPROC: r1: Number of saturated rows = 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r1: Fraction of bad pixels in arc = 6.46114e-05 SPCALIB: r1: Arc sdR-r1-00034757.fit paired with flat sdR-r1-00034756.fit MATCH_TRACE: r1: Iteration: 0 Pixels Rejected: 7336 Finished? 0 MATCH_TRACE: r1: Iteration: 1 Pixels Rejected: 225 Finished? 0 MATCH_TRACE: r1: Iteration: 2 Pixels Rejected: 62 Finished? 0 MATCH_TRACE: r1: Iteration: 3 Pixels Rejected: 10 Finished? 0 MATCH_TRACE: r1: Iteration: 4 Pixels Rejected: 2 Finished? 0 MATCH_TRACE: r1: Iteration: 5 Pixels Rejected: 0 Finished? 1 SPCALIB: r1: Shifting traces with match_trace -0.00317383 SPCALIB: r1: Extracting arc ROW NITER SIG(med) CHI^2 .0000 2 0.95 1.42 .0001 2 0.95 1.27 .0002 1 0.95 1.18 .0003 1 0.95 1.05 .0004 2 0.95 1.16 .0005 3 0.95 1.08 .0006 1 0.95 1.27 .0007 1 0.95 1.15 .0008 1 0.95 1.11 .0009 1 0.95 1.20 .0010 1 0.95 1.31 .0011 1 0.95 1.37 .0012 1 0.95 1.45 .0013 1 0.95 1.29 .0014 1 0.95 1.36 .0015 1 0.95 1.32 .0016 1 0.95 1.05 .0017 1 0.95 1.03 .0018 1 0.95 1.02 .0019 1 0.95 1.06 .0020 1 0.95 1.04 .0021 1 0.95 1.06 .0022 1 0.95 1.08 .0023 1 0.95 1.12 .0024 1 0.95 1.08 .0025 1 0.95 1.15 .0026 1 0.95 1.15 .0027 1 0.95 1.33 .0028 2 0.95 1.16 .0029 1 0.95 1.13 .0030 1 0.95 1.07 .0031 1 0.95 1.19 .0032 1 0.95 1.20 .0033 2 0.95 1.11 .0034 2 0.95 1.19 .0035 2 0.95 1.28 .0036 1 0.95 1.38 .0037 1 0.95 1.37 .0038 1 0.95 1.37 .0039 1 0.95 1.43 .0040 1 0.95 1.53 .0041 2 0.95 1.55 .0042 1 0.95 1.54 .0043 1 0.95 1.53 .0044 1 0.95 1.45 .0045 1 0.95 1.52 .0046 1 0.95 1.57 .0047 1 0.95 1.59 .0048 1 0.95 1.54 .0049 1 0.95 1.51 .0050 1 0.95 1.49 .0051 1 0.95 1.62 .0052 1 0.95 1.74 .0053 1 0.95 2.23 .0054 1 0.95 2.30 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0.94 2.01 .0111 1 0.94 2.04 .0112 1 0.94 1.84 .0113 1 0.94 2.29 .0114 1 0.94 2.65 .0115 1 0.94 3.44 .0116 1 0.94 3.06 .0117 1 0.94 2.96 .0118 1 0.94 3.10 .0119 1 0.94 3.16 .0120 1 0.94 1.36 .0121 1 0.94 1.23 .0122 1 0.94 1.14 .0123 1 0.94 1.17 .0124 1 0.94 1.09 .0125 1 0.94 1.13 .0126 1 0.94 1.12 .0127 1 0.94 1.15 .0128 1 0.94 1.06 .0129 2 0.94 1.24 .0130 2 0.94 1.14 .0131 1 0.94 1.17 .0132 1 0.94 1.09 .0133 1 0.94 1.07 .0134 1 0.94 1.13 .0135 1 0.94 1.18 .0136 1 0.94 1.31 .0137 1 0.94 1.24 .0138 1 0.94 1.33 .0139 2 0.94 1.36 .0140 1 0.94 1.18 .0141 1 0.94 1.03 .0142 1 0.94 1.04 .0143 1 0.94 1.04 .0144 1 0.94 1.13 .0145 2 0.94 1.03 .0146 1 0.94 1.06 .0147 1 0.94 1.14 .0148 1 0.94 1.08 .0149 1 0.94 1.14 .0150 2 0.94 1.23 .0151 1 0.94 1.11 .0152 1 0.94 1.09 .0153 1 0.94 1.06 .0154 1 0.93 1.11 .0155 1 0.93 1.24 .0156 1 0.93 1.19 .0157 1 0.93 1.17 .0158 1 0.93 1.24 .0159 1 0.93 1.18 .0160 1 0.93 1.19 .0161 1 0.93 1.16 .0162 1 0.93 1.16 .0163 1 0.93 1.10 .0164 1 0.93 1.23 .0165 1 0.93 1.22 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0.93 5.18 .0222 1 0.93 4.51 .0223 1 0.93 4.52 .0224 1 0.93 4.61 .0225 1 0.93 5.19 .0226 1 0.93 4.99 .0227 1 0.93 5.73 .0228 1 0.93 5.54 .0229 1 0.93 6.27 .0230 2 0.93 7.44 .0231 1 0.93 9.19 .0232 1 0.93 10.37 .0233 1 0.93 8.64 .0234 1 0.93 7.94 .0235 1 0.93 7.88 .0236 1 0.93 8.32 .0237 1 0.93 8.08 .0238 1 0.93 7.96 .0239 1 0.93 8.80 .0240 1 0.93 9.20 .0241 1 0.93 8.71 .0242 1 0.93 9.26 .0243 1 0.93 8.95 .0244 1 0.93 9.66 .0245 1 0.93 13.98 .0246 1 0.93 18.67 .0247 1 0.93 14.01 .0248 1 0.93 12.12 .0249 1 0.93 12.73 .0250 1 0.93 11.63 .0251 1 0.93 4.61 .0252 1 0.93 3.40 .0253 1 0.93 3.31 .0254 1 0.93 3.20 .0255 1 0.93 3.12 .0256 1 0.93 3.10 .0257 1 0.93 2.87 .0258 1 0.93 3.51 .0259 1 0.93 4.30 .0260 1 0.93 4.53 .0261 1 0.93 3.91 .0262 1 0.93 3.68 .0263 1 0.93 4.27 .0264 1 0.93 1.88 .0265 1 0.93 1.47 .0266 1 0.93 1.44 .0267 1 0.93 1.43 .0268 1 0.93 1.49 .0269 2 0.93 1.54 .0270 1 0.93 1.52 .0271 1 0.93 1.52 .0272 1 0.93 1.46 .0273 1 0.93 1.37 .0274 1 0.93 1.41 .0275 1 0.93 1.45 .0276 1 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0.92 1.19 .1771 1 0.92 1.15 .1772 1 0.92 1.18 .1773 1 0.92 1.21 .1774 1 0.92 1.21 .1775 1 0.92 1.11 .1776 1 0.92 1.21 .1777 1 0.92 1.18 .1778 1 0.92 1.09 .1779 1 0.92 1.15 .1780 1 0.92 1.15 .1781 1 0.92 1.14 .1782 1 0.92 1.19 .1783 1 0.92 1.14 .1784 1 0.92 1.15 .1785 1 0.92 1.16 .1786 1 0.92 1.08 .1787 1 0.92 1.14 .1788 1 0.92 1.13 .1789 1 0.92 1.10 .1790 1 0.92 1.19 .1791 1 0.92 1.09 .1792 1 0.92 1.07 .1793 1 0.92 1.09 .1794 1 0.92 1.16 .1795 1 0.92 1.16 .1796 2 0.92 1.18 .1797 2 0.92 1.34 .1798 1 0.92 1.38 .1799 1 0.92 1.64 .1800 2 0.92 1.53 .1801 1 0.92 1.43 .1802 1 0.92 1.50 .1803 1 0.92 1.46 .1804 1 0.92 1.45 .1805 1 0.92 1.40 .1806 1 0.92 1.41 .1807 1 0.92 1.51 .1808 1 0.92 1.38 .1809 1 0.92 1.47 .1810 1 0.92 1.65 .1811 1 0.92 1.48 .1812 1 0.92 1.38 .1813 1 0.92 1.43 .1814 1 0.92 1.56 .1815 1 0.92 1.68 .1816 1 0.92 1.87 .1817 1 0.92 1.93 .1818 1 0.92 1.87 .1819 1 0.92 1.61 .1820 1 0.92 1.46 .1821 1 0.92 1.20 .1822 1 0.92 1.15 .1823 1 0.92 1.20 .1824 1 0.92 1.19 .1825 1 0.92 1.22 .1826 1 0.92 1.13 .1827 1 0.92 1.14 .1828 1 0.92 1.18 .1829 1 0.92 1.19 .1830 1 0.92 1.15 .1831 1 0.92 1.14 .1832 1 0.92 1.17 .1833 1 0.92 1.13 .1834 1 0.92 1.16 .1835 1 0.92 1.21 .1836 1 0.92 1.13 .1837 2 0.92 1.28 .1838 2 0.92 1.26 .1839 1 0.92 1.21 .1840 1 0.92 1.18 .1841 1 0.92 1.23 .1842 1 0.92 1.17 .1843 1 0.92 1.22 .1844 1 0.92 1.19 .1845 1 0.92 1.21 .1846 1 0.92 1.20 .1847 1 0.92 1.19 .1848 1 0.92 1.25 .1849 1 0.92 1.18 .1850 1 0.92 1.20 .1851 1 0.92 1.24 .1852 1 0.92 1.17 .1853 1 0.92 1.28 .1854 1 0.92 1.18 .1855 1 0.92 1.16 .1856 1 0.92 1.23 .1857 1 0.92 1.39 .1858 1 0.92 1.28 .1859 1 0.92 1.38 .1860 1 0.92 1.27 .1861 1 0.92 1.16 .1862 1 0.92 1.23 .1863 1 0.92 1.32 .1864 1 0.92 1.25 .1865 1 0.92 1.28 .1866 2 0.92 1.27 .1867 1 0.92 1.17 .1868 1 0.92 1.16 .1869 1 0.92 1.09 .1870 1 0.92 1.23 .1871 1 0.92 1.17 .1872 1 0.92 1.09 .1873 1 0.92 1.18 .1874 2 0.92 1.26 .1875 1 0.92 1.15 .1876 1 0.92 1.20 .1877 1 0.92 1.15 .1878 1 0.92 1.21 .1879 1 0.92 1.15 .1880 1 0.92 1.13 .1881 1 0.92 1.17 .1882 1 0.92 1.26 .1883 1 0.92 1.28 .1884 1 0.92 1.26 .1885 1 0.92 1.22 .1886 1 0.92 1.17 .1887 3 0.92 1.21 .1888 3 0.92 1.14 .1889 1 0.92 1.16 .1890 1 0.92 1.22 .1891 1 0.92 1.12 .1892 1 0.92 1.15 .1893 1 0.92 1.25 .1894 3 0.92 1.13 .1895 1 0.92 1.17 .1896 1 0.92 1.17 .1897 1 0.92 1.22 .1898 1 0.92 1.21 .1899 1 0.92 1.13 .1900 1 0.92 1.15 .1901 1 0.92 1.35 .1902 3 0.92 1.18 .1903 1 0.92 1.15 .1904 2 0.92 1.10 .1905 1 0.92 1.15 .1906 1 0.92 1.20 .1907 1 0.92 1.12 .1908 1 0.92 1.16 .1909 1 0.92 1.15 .1910 1 0.92 1.13 .1911 1 0.92 1.19 .1912 1 0.92 1.19 .1913 1 0.92 1.11 .1914 1 0.92 1.14 .1915 1 0.92 1.20 .1916 2 0.92 1.39 .1917 1 0.92 1.13 .1918 1 0.92 1.08 .1919 1 0.92 1.18 .1920 1 0.92 1.16 .1921 2 0.92 1.23 .1922 2 0.92 1.12 .1923 2 0.92 1.09 .1924 2 0.92 1.17 .1925 1 0.92 1.15 .1926 1 0.92 1.38 .1927 2 0.92 1.14 .1928 2 0.92 1.17 .1929 2 0.92 1.25 .1930 3 0.92 1.17 .1931 2 0.92 1.39 .1932 2 0.92 1.19 .1933 2 0.92 1.14 .1934 1 0.92 1.17 .1935 1 0.92 1.10 .1936 1 0.92 1.12 .1937 1 0.92 1.18 .1938 1 0.92 1.20 .1939 1 0.92 1.14 .1940 1 0.92 1.11 .1941 1 0.92 1.14 .1942 2 0.92 1.08 .1943 1 0.92 1.16 .1944 1 0.92 1.13 .1945 1 0.92 1.15 .1946 1 0.92 1.10 .1947 1 0.92 1.20 .1948 1 0.92 1.16 .1949 1 0.92 1.06 .1950 1 0.92 1.09 .1951 1 0.92 1.17 .1952 1 0.92 1.09 .1953 1 0.92 1.09 .1954 1 0.92 1.16 .1955 1 0.92 1.17 .1956 1 0.92 1.12 .1957 1 0.92 1.13 .1958 1 0.92 1.18 .1959 1 0.92 1.08 .1960 1 0.92 1.16 .1961 1 0.92 1.12 .1962 1 0.92 1.16 .1963 1 0.92 1.18 .1964 1 0.92 1.15 .1965 1 0.92 1.18 .1966 1 0.92 1.20 .1967 1 0.92 1.19 .1968 1 0.92 1.12 .1969 2 0.92 1.08 .1970 1 0.92 1.25 .1971 1 0.92 1.15 .1972 1 0.92 1.14 .1973 1 0.92 1.10 .1974 1 0.92 1.10 .1975 1 0.92 1.13 .1976 1 0.92 1.10 .1977 1 0.92 1.18 .1978 2 0.92 1.23 .1979 1 0.92 1.10 .1980 1 0.92 1.15 .1981 2 0.92 1.31 .1982 2 0.92 1.21 .1983 1 0.92 1.17 .1984 1 0.92 1.15 .1985 1 0.92 1.20 .1986 1 0.92 1.16 .1987 1 0.92 1.12 .1988 1 0.92 1.07 .1989 1 0.92 1.12 .1990 3 0.92 1.09 .1991 1 0.92 1.26 .1992 1 0.92 1.09 .1993 1 0.92 1.20 .1994 1 0.92 1.15 .1995 1 0.92 1.11 .1996 1 0.92 1.11 .1997 1 0.92 1.20 .1998 2 0.92 1.20 .1999 1 0.92 1.13 .2000 1 0.92 1.24 .2001 1 0.92 1.11 .2002 1 0.92 1.18 .2003 1 0.92 1.17 .2004 3 0.92 1.13 .2005 1 0.92 1.12 .2006 1 0.92 1.19 .2007 1 0.92 1.12 .2008 1 0.92 1.15 .2009 1 0.92 1.12 .2010 1 0.92 1.19 .2011 1 0.92 1.15 .2012 1 0.92 1.12 .2013 1 0.92 1.32 .2014 1 0.92 1.23 .2015 1 0.92 1.16 .2016 1 0.92 1.18 .2017 3 0.92 1.17 .2018 1 0.92 1.18 .2019 1 0.92 1.35 .2020 1 0.92 1.18 .2021 1 0.92 1.24 .2022 1 0.92 1.20 .2023 1 0.92 1.23 .2024 1 0.92 1.22 .2025 1 0.92 1.15 .2026 1 0.92 1.30 .2027 1 0.92 1.16 .2028 1 0.92 1.09 .2029 1 0.92 1.15 .2030 1 0.92 1.17 .2031 1 0.92 1.12 .2032 1 0.92 1.17 .2033 1 0.92 1.15 .2034 1 0.92 1.24 .2035 1 0.92 1.14 .2036 2 0.92 1.35 .2037 2 0.92 1.20 .2038 1 0.92 1.27 .2039 1 0.92 1.21 .2040 1 0.92 1.15 .2041 1 0.92 1.15 .2042 2 0.92 1.16 .2043 1 0.92 1.33 .2044 3 0.92 1.20 .2045 2 0.92 1.31 .2046 2 0.92 1.23 .2047 1 0.92 1.22 EXTRACT_IMAGE: r1: masked 286 pixels SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r1: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r1: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Searching about coefficients = 3.86684 0.10142 -0.00449 -0.00022 ARCFIT_ITER: r1: Searching lags from -151 to 151 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 ARCFIT_GUESS: r1: Initial wavelength fit = 3.86684 0.10142 -0.00449 -0.00022 ARCFIT_GUESS: r1: Initial correlation = 0.761646 FITARCIMAGE_GLOBAL: r1: Best correlation = 0.761646 FITARCIMAGE_GLOBAL: r1: ASET = 3.86684 0.10142 -0.00449 -0.00022 SPCALIB: r1: Searching for wavelength solution FITARCIMAGE_GLOBAL: r1: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Tracing 36 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 35 320 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: Iterating flux-weighted centers . 0 320 0.128 . 1 320 0.131 . 2 320 0.127 . 3 320 0.132 . 4 320 0.127 . 5 320 0.132 . 6 320 0.135 . 7 320 0.132 . 8 320 0.132 . 9 320 0.128 . 10 320 0.128 . 11 320 0.132 . 12 320 0.132 . 13 320 0.126 . 14 320 0.128 . 15 320 0.131 . 16 320 0.131 . 17 320 0.131 . 18 320 0.128 . 19 320 0.132 . 20 320 0.128 . 21 320 0.127 . 22 320 0.138 . 23 320 0.133 . 24 320 0.132 . 25 320 0.125 . 26 320 0.127 . 27 320 0.124 . 28 320 0.128 . 29 320 0.124 . 30 320 0.129 . 31 320 0.133 . 32 320 0.129 . 33 320 0.127 . 34 320 0.130 . 35 320 0.132 . 36 320 0.124 . 37 320 0.134 . 38 320 0.140 . 39 320 0.136 . 40 320 0.125 . 41 320 0.135 . 42 320 0.136 . 43 320 0.134 . 44 320 0.135 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 45 22 179.09941 8.4572903 9.7896272 -0.0000000 295675.64 5 . 45 320 0.257 . 46 320 0.122 . 47 320 0.133 . 48 320 0.131 . 49 320 0.132 . 50 320 0.123 . 51 320 0.125 . 52 320 0.130 . 53 320 0.138 . 54 320 0.128 . 55 320 0.136 . 56 320 0.133 . 57 320 0.142 . 58 320 0.130 . 59 320 0.125 . 60 320 0.128 . 61 320 0.134 . 62 320 0.127 . 63 320 0.127 . 64 320 0.124 . 65 320 0.131 . 66 320 0.129 . 67 320 0.130 . 68 320 0.128 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 69 0 0.78898058 3.4667762 0.38865681 0.42447873 9.8829923 1 . 69 320 0.137 . 70 320 0.121 . 71 320 0.133 . 72 320 0.129 . 73 320 0.127 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 74 0 -4.7005806 4.3502751 0.34732490 0.41868716 8.5268806 1 . 74 320 0.146 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 75 0 -2.0073981 4.2222243 0.41437588 0.49366397 8.3107545 1 . 75 320 0.137 . 76 320 0.124 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 77 0 3.4277160 3.3747624 0.41714182 0.47022831 9.3126572 1 . 77 320 0.128 . 78 320 0.128 . 79 320 0.129 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 80 0 2.9682516 2.9922934 0.40575934 -0.0000000 9.5756657 1 . 80 320 0.139 . 81 320 0.124 . 82 320 0.134 . 83 320 0.122 . 84 320 0.122 . 85 320 0.127 . 86 320 0.136 . 87 320 0.129 . 88 320 0.128 . 89 320 0.130 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 1 -7.1400161 3.5641578 0.40903557 -0.0000000 7.4714040 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 2 -13.364455 3.4232557 0.53851192 -0.0000000 7.3138577 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 4 -2.4378436 2.9097041 0.49108770 -0.0000000 9.2646050 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 5 -7.4117216 0.20465780 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 8 -26.965530 4.5884616 0.38236431 0.45466628 9.6630846 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 9 -6.9536956 0.22987050 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 11 -21.650531 0.21849353 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 90 16 -22.464115 0.26665910 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 17 0.046172607 4.3120590 0.33179412 -0.0000000 9.5009756 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 20 -8.2676791 5.2012271 0.37243786 0.47500207 8.8334669 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 22 -14.274781 3.8166924 0.37727417 -0.0000000 8.1584522 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 23 -4.0582015 3.1481423 0.33036358 -0.0000000 9.8435007 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 24 -5.3983198 3.0745836 0.73589010 -0.0000000 9.7076938 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 25 -4.4376727 3.0568134 0.32454626 -0.0000000 9.8953342 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 26 -8.2821514 3.5077523 0.65215761 0.68892881 9.8761284 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 27 -14.324599 3.1210583 0.55089754 -0.0000000 9.5223372 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 28 -5.5807161 2.9400366 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 29 -19.853711 4.8709629 0.60634560 0.73767808 9.6203874 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 30 -23.533141 4.1755015 0.36034958 -0.0000000 8.9380602 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 31 -9.8356990 3.8735774 0.40717628 0.58581666 13.387984 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 32 -11.527487 3.5373082 0.52322596 -0.0000000 10.541757 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 33 -29.277917 4.1901289 0.50365278 -0.0000000 8.8581388 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 34 -10.382028 3.4491095 0.62485914 -0.0000000 10.787671 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 90 35 -14.946725 2.9589548 0.0000000 0.0000000 0.0000000 3 . 90 320 0.325 . 91 320 0.123 . 92 320 0.124 . 93 320 0.127 . 94 320 0.136 . 95 320 0.138 . 96 320 0.129 . 97 320 0.125 . 98 320 0.118 . 99 320 0.123 . 100 320 0.122 . 101 320 0.126 . 102 320 0.131 . 103 320 0.125 . 104 320 0.127 . 105 320 0.118 . 106 320 0.128 . 107 320 0.125 . 108 320 0.128 . 109 320 0.127 . 110 320 0.130 . 111 320 0.129 . 112 320 0.136 . 113 320 0.127 . 114 320 0.129 . 115 320 0.142 . 116 320 0.134 . 117 320 0.144 . 118 320 0.140 . 119 320 0.132 . 120 320 0.124 . 121 320 0.124 . 122 320 0.131 . 123 320 0.137 . 124 320 0.133 . 125 320 0.144 . 126 320 0.137 . 127 320 0.139 . 128 320 0.136 . 129 320 0.136 . 130 320 0.143 . 131 320 0.135 . 132 320 0.136 . 133 320 0.134 . 134 320 0.135 . 135 320 0.135 . 136 320 0.125 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 137 29 303.00684 10.563242 0.0000000 0.0000000 0.0000000 3 . 137 320 0.129 . 138 320 0.135 . 139 320 0.138 . 140 320 0.140 . 141 320 0.132 . 142 320 0.135 . 143 320 0.132 . 144 320 0.130 . 145 320 0.136 . 146 320 0.126 . 147 320 0.130 . 148 320 0.126 . 149 320 0.126 . 150 320 0.138 . 151 320 0.141 . 152 320 0.139 . 153 320 0.137 . 154 320 0.134 . 155 320 0.132 . 156 320 0.132 . 157 320 0.130 . 158 320 0.130 . 159 320 0.126 . 160 320 0.128 . 161 320 0.130 . 162 320 0.135 . 163 320 0.127 . 164 320 0.130 . 165 320 0.132 . 166 320 0.132 . 167 320 0.129 . 168 320 0.130 . 169 320 0.135 . 170 320 0.138 . 171 320 0.133 . 172 320 0.131 . 173 320 0.080 . 174 320 0.099 . 175 320 0.130 . 176 320 0.134 . 177 320 0.129 . 178 320 0.132 . 179 320 0.132 . 180 320 0.132 . 181 320 0.131 . 182 320 0.135 . 183 320 0.128 . 184 320 0.133 . 185 320 0.133 . 186 320 0.131 . 187 320 0.122 . 188 320 0.120 . 189 320 0.129 . 190 320 0.133 . 191 320 0.136 . 192 320 0.135 . 193 320 0.130 . 194 320 0.130 . 195 320 0.129 . 196 320 0.129 . 197 320 0.130 . 198 320 0.136 . 199 320 0.132 . 200 320 0.133 . 201 320 0.134 . 202 320 0.138 . 203 320 0.130 . 204 320 0.133 . 205 320 0.132 . 206 320 0.137 . 207 320 0.137 . 208 320 0.133 . 209 320 0.136 . 210 320 0.139 . 211 320 0.134 . 212 320 0.138 . 213 320 0.142 . 214 320 0.135 . 215 320 0.134 . 216 320 0.134 . 217 320 0.136 . 218 320 0.136 . 219 320 0.132 . 220 320 0.137 . 221 320 0.138 . 222 320 0.137 . 223 320 0.141 . 224 320 0.142 . 225 320 0.138 . 226 320 0.139 . 227 320 0.140 . 228 320 0.139 . 229 320 0.145 . 230 320 0.152 . 231 320 0.141 . 232 320 0.143 . 233 320 0.140 . 234 320 0.147 . 235 320 0.141 . 236 320 0.141 . 237 320 0.138 . 238 320 0.135 . 239 320 0.129 . 240 320 0.146 . 241 320 0.132 . 242 320 0.130 . 243 320 0.128 . 244 320 0.132 . 245 320 0.133 . 246 320 0.132 . 247 320 0.129 . 248 320 0.134 . 249 320 0.077 . 250 320 0.125 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 1 -12.461571 3.1730800 0.49519104 -0.0000000 6.8549364 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 2 -7.9379011 2.6616907 0.30415472 -0.0000000 8.1317003 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 4 -3.5109720 2.7326025 1.4563702 -0.0000000 8.0915123 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 5 -22.364498 0.23162228 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 8 -1.5235829 0.22772656 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 9 -10.593740 0.28869458 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 11 -27.239243 0.25245285 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 16 -1.6376634 0.24901257 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 20 -9.7827967 3.6275303 0.35626040 -0.0000000 8.1490633 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 251 22 -7.1778529 0.24764319 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 23 -11.372012 3.3935499 0.46474282 -0.0000000 7.4783338 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 24 -6.3226764 2.7760327 0.50881895 -0.0000000 8.7257613 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 25 -7.4143451 2.3355826 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 26 -8.4458039 2.7481979 0.43543297 -0.0000000 8.5558322 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 27 -13.137183 2.4445001 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 28 -16.475681 3.1935883 0.35320606 0.39889643 9.7960556 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 30 -15.313829 3.9070787 0.77954553 0.83693728 10.053063 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 31 -16.164376 3.6186648 0.42695812 0.46266091 10.335646 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 32 -18.330102 3.3377122 0.40731131 -0.0000000 10.637529 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 33 -16.791153 3.7238909 0.79961781 -0.0000000 8.0361754 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 34 -17.117168 2.8364912 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 251 35 -22.316174 3.5232630 0.46364230 0.47925877 9.3410886 1 . 251 320 0.304 . 252 320 0.129 . 253 320 0.130 . 254 320 0.130 . 255 320 0.132 . 256 320 0.136 . 257 320 0.131 . 258 320 0.132 . 259 320 0.130 . 260 320 0.147 . 261 320 0.134 . 262 320 0.126 . 263 320 0.128 . 264 320 0.126 . 265 320 0.132 . 266 320 0.130 . 267 320 0.125 . 268 320 0.124 . 269 320 0.129 . 270 320 0.130 . 271 320 0.127 . 272 320 0.126 . 273 320 0.138 . 274 320 0.150 . 275 320 0.148 . 276 320 0.148 . 277 320 0.145 . 278 320 0.135 . 279 320 0.140 . 280 320 0.135 . 281 320 0.134 . 282 320 0.126 . 283 320 0.121 . 284 320 0.126 . 285 320 0.125 . 286 320 0.123 . 287 320 0.128 . 288 320 0.126 . 289 320 0.125 . 290 320 0.127 . 291 320 0.133 . 292 320 0.134 . 293 320 0.127 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 1 -1.6886954 0.26090991 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 2 -9.3281677 0.26674800 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 3 0.89646173 0.22165227 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 4 -15.209586 0.28308779 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 5 -5.3110357 0.23882517 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 9 -9.4692758 0.23242584 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 20 -6.7045308 0.24276293 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 22 -14.467934 3.2138289 0.36201252 -0.0000000 7.0780731 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 23 -15.203472 3.3798061 0.37384028 0.38844546 8.2219109 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 24 -5.1297929 2.8236246 0.57645298 -0.0000000 9.2091192 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 25 -11.380185 2.6217934 0.43483269 -0.0000000 8.3480103 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 26 -12.274040 3.8513082 0.77215230 0.94033103 7.2688001 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 27 -16.181764 2.4279618 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 28 -20.600319 3.4931462 0.77682981 -0.0000000 7.4874559 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 29 -24.209037 0.24844875 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 30 -23.345929 2.7589874 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 31 -15.477005 2.8119385 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 32 -28.668989 4.3808225 0.51232766 0.62170755 8.6717715 1 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 33 -15.768652 3.3028044 1.3263007 -0.0000000 10.270905 1 TRACE_MPFITPEAK: r1: POOR: spec, arc, peak, xerr, status, msg 294 34 -25.336023 0.23558027 TRACE_MPFITPEAK: r1: FAIL: spec, arc, peak, xerr, status, msg 294 35 -16.068678 3.2500513 1.3588665 -0.0000000 10.171111 1 . 294 320 0.237 . 295 320 0.137 . 296 320 0.129 . 297 320 0.126 . 298 320 0.127 . 299 320 0.127 . 300 320 0.123 . 301 320 0.119 . 302 320 0.129 . 303 320 0.124 . 304 320 0.136 . 305 320 0.126 . 306 320 0.123 . 307 320 0.127 . 308 320 0.129 . 309 320 0.127 . 310 320 0.125 . 311 320 0.127 . 312 320 0.126 . 313 320 0.135 . 314 320 0.127 . 315 320 0.134 . 316 320 0.115 . 317 320 0.129 . 318 320 0.126 . 319 320 0.123 FITARCIMAGE_GLOBAL: r1: Discarding trace 0, at 5790.6630 with 204 centroids too close to an edge FITARCIMAGE_GLOBAL: r1: Line 1, at 5852.4880 Ang: ERR= 0.0106694 ERR_RMS= 0.0140835 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 2, at 5881.8950 Ang: ERR= 0.0110172 ERR_RMS= 0.0143926 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 3, at 5944.8340 Ang: ERR= 0.00742534 ERR_RMS= 0.0176977 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 4, at 6029.9970 Ang: ERR= 0.0143124 ERR_RMS= 0.0151467 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 5, at 6074.3380 Ang: ERR= 0.00695881 ERR_RMS= 0.0212034 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 6, at 6096.1630 Ang: ERR= 0.00524397 ERR_RMS= 0.0113686 pix, 0 masked. FITARCIMAGE_GLOBAL: r1: Line 7, at 6143.0630 Ang: ERR= 0.00351664 ERR_RMS= 0.00647735 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 8, at 6163.5940 Ang: ERR= 0.00639223 ERR_RMS= 0.0153362 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 9, at 6217.2810 Ang: ERR= 0.00847759 ERR_RMS= 0.0236857 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 10, at 6266.4950 Ang: ERR= 0.00481643 ERR_RMS= 0.0118797 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 11, at 6304.7890 Ang: ERR= 0.00759948 ERR_RMS= 0.0200828 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 12, at 6334.4280 Ang: ERR= 0.00377826 ERR_RMS= 0.00872744 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 13, at 6382.9920 Ang: ERR= 0.00367748 ERR_RMS= 0.00835325 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 14, at 6402.2460 Ang: ERR= 0.00238161 ERR_RMS= 0.00365930 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 15, at 6506.5280 Ang: ERR= 0.00306155 ERR_RMS= 0.00547132 pix, 2 masked. FITARCIMAGE_GLOBAL: r1: Line 16, at 6532.8820 Ang: ERR= 0.00577827 ERR_RMS= 0.0227543 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 17, at 6598.9530 Ang: ERR= 0.00492772 ERR_RMS= 0.00838073 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 18, at 6717.0430 Ang: ERR= 0.00443509 ERR_RMS= 0.0115179 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 19, at 6929.4670 Ang: ERR= 0.00377036 ERR_RMS= 0.00834446 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 20, at 7173.9380 Ang: ERR= 0.00818339 ERR_RMS= 0.0132141 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 21, at 7245.1670 Ang: ERR= 0.00393383 ERR_RMS= 0.00994858 pix, 1 masked. FITARCIMAGE_GLOBAL: r1: Line 22, at 7438.9000 Ang: ERR= 0.00820177 ERR_RMS= 0.0135511 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 23, at 7488.8710 Ang: ERR= 0.0149801 ERR_RMS= 0.00140683 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 24, at 7535.7740 Ang: ERR= 0.0171195 ERR_RMS= 0.00172013 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 25, at 7635.1060 Ang: ERR= 0.0281778 ERR_RMS= 0.00307348 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 26, at 8014.7860 Ang: ERR= 0.0730892 ERR_RMS= 0.0108105 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 27, at 8103.6930 Ang: ERR= 0.0543868 ERR_RMS= 0.00689969 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 28, at 8300.3260 Ang: ERR= 0.0245505 ERR_RMS= 0.00249396 pix, 7 masked. FITARCIMAGE_GLOBAL: r1: Line 29, at 8377.6065 Ang: ERR= 0.00978430 ERR_RMS= 0.0162761 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 30, at 8495.3598 Ang: ERR= 0.0140655 ERR_RMS= 0.00127846 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 31, at 8591.2583 Ang: ERR= 0.0264461 ERR_RMS= 0.00259677 pix, 6 masked. FITARCIMAGE_GLOBAL: r1: Line 32, at 8634.6470 Ang: ERR= 0.0285435 ERR_RMS= 0.00294166 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 33, at 8654.3831 Ang: ERR= 0.0180978 ERR_RMS= 0.00172007 pix, 5 masked. FITARCIMAGE_GLOBAL: r1: Line 34, at 8853.8670 Ang: ERR= 0.0420940 ERR_RMS= 0.0118481 pix, 3 masked. FITARCIMAGE_GLOBAL: r1: Line 35, at 9122.9674 Ang: ERR= 0.0847973 ERR_RMS= 0.0150343 pix, 8 masked. FITARCIMAGE_GLOBAL: r1: Number of good arc lines: 35 FITARCIMAGE_GLOBAL: r1: Number of arclines = 35 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 1 23 35 0 24 35 0 25 35 0 26 35 1 27 35 1 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 1 42 35 0 43 35 0 44 35 0 45 35 4 46 35 2 47 35 1 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 1 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 25 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 1 98 35 1 99 35 1 100 35 0 101 35 0 102 35 0 103 35 0 104 35 1 105 35 1 106 35 1 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 1 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 2 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 1 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 1 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 1 173 35 13 174 35 8 175 35 1 176 35 1 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 1 186 35 0 187 35 3 188 35 2 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 1 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 2 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 1 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 1 236 35 1 237 35 0 238 35 1 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 1 246 35 0 247 35 1 248 35 1 249 35 14 250 35 0 251 35 23 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 1 268 35 1 269 35 1 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 1 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 1 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 17 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 1 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 1 312 35 1 313 35 0 314 35 0 315 35 0 316 35 5 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 155 Pass 1 complete FITARCIMAGE_GLOBAL: r1: Number of arclines after bundle test = 35 FITARCLINES: r1: ncoeffs (x,y): 4 5 FITARCLINES: r1: fit rchi2: 0.064843294 FITARCLINES: r1: offset stddev: 320 2.5857344e-13 FITARCLINES: r1: scale stddev: 320 6.0627500e-13 FITARCLINES: r1: poly x,y,stddev: 0 0 5.2627403e-07 FITARCLINES: r1: poly x,y,stddev: 1 0 1.5759213e-06 FITARCLINES: r1: poly x,y,stddev: 2 0 1.2588039e-06 FITARCLINES: r1: poly x,y,stddev: 3 0 2.5142320e-06 FITARCLINES: r1: poly x,y,stddev: 0 1 3.8088829e-07 FITARCLINES: r1: poly x,y,stddev: 1 1 1.1443954e-06 FITARCLINES: r1: poly x,y,stddev: 2 1 9.1714208e-07 FITARCLINES: r1: poly x,y,stddev: 3 1 1.8311650e-06 FITARCLINES: r1: poly x,y,stddev: 0 2 2.5696544e-07 FITARCLINES: r1: poly x,y,stddev: 1 2 7.5722009e-07 FITARCLINES: r1: poly x,y,stddev: 2 2 5.9479578e-07 FITARCLINES: r1: poly x,y,stddev: 3 2 1.1912130e-06 FITARCLINES: r1: correcting per-fiber coefficients for fibers: 239 251 260 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r1: Total rejected = 0 FITARCIMAGE_GLOBAL: r1: BADARC lines masked: 239 251 260 FITARCIMAGE_GLOBAL: r1: IVAR=0 centroids masked: 115 Final arcfit complete FITARCIMAGE_GLOBAL: r1: Time 59. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 3 1.00 7.09 .0001 2 1.00 9.01 .0002 2 1.00 8.70 .0003 2 1.00 8.28 .0004 2 1.00 9.25 .0005 2 1.00 8.70 .0006 4 1.00 8.08 .0007 1 1.00 10.14 .0008 2 1.00 10.09 .0009 3 1.00 8.87 .0010 2 1.00 8.26 .0011 3 1.00 8.36 .0012 1 1.00 8.56 .0013 2 1.00 7.33 .0014 2 1.00 8.20 .0015 2 1.00 8.40 .0016 2 1.00 8.54 .0017 2 1.00 8.39 .0018 2 1.00 8.45 .0019 2 1.00 7.94 .0020 2 1.00 8.19 .0021 3 1.00 7.87 .0022 3 1.00 7.70 .0023 2 1.00 8.61 .0024 2 1.00 8.38 .0025 2 1.00 8.17 .0026 2 1.00 8.24 .0027 3 1.00 8.37 .0028 2 1.00 9.15 .0029 3 1.00 7.59 .0030 2 1.00 8.85 .0031 2 1.00 8.73 .0032 3 1.00 7.93 .0033 3 1.00 7.61 .0034 3 1.00 7.69 .0035 2 1.00 8.22 .0036 2 1.00 8.57 .0037 2 1.00 8.07 .0038 2 1.00 8.56 .0039 3 1.00 7.58 .0040 3 1.00 7.23 .0041 2 1.00 8.45 .0042 2 1.00 8.63 .0043 2 1.00 8.56 .0044 2 1.00 10.08 .0045 3 1.00 7.00 .0046 3 1.00 7.85 .0047 2 1.00 9.50 .0048 3 1.00 7.26 .0049 2 1.00 8.21 .0050 2 1.00 8.30 .0051 3 1.00 8.32 .0052 3 1.00 7.76 .0053 3 1.00 7.67 .0054 3 1.00 7.32 .0055 2 1.00 9.87 .0056 3 1.00 8.61 .0057 2 1.00 9.54 .0058 3 1.00 7.43 .0059 3 1.00 7.65 .0060 6 1.00 6.29 .0061 3 1.00 7.35 .0062 3 1.00 8.89 .0063 3 1.00 8.68 .0064 3 1.00 8.31 .0065 3 1.00 6.74 .0066 3 1.00 7.77 .0067 3 1.00 7.38 .0068 2 1.00 9.63 .0069 2 1.00 9.47 .0070 3 1.00 7.24 .0071 3 1.00 8.02 .0072 3 1.00 7.87 .0073 3 1.00 7.89 .0074 3 1.00 7.65 .0075 3 1.00 7.99 .0076 3 1.00 7.03 .0077 3 1.00 8.70 .0078 3 1.00 8.30 .0079 3 1.00 8.00 .0080 3 1.00 6.63 .0081 3 1.00 5.69 .0082 2 1.00 8.31 .0083 3 1.00 7.05 .0084 3 1.00 5.32 .0085 3 1.00 6.48 .0086 3 1.00 7.07 .0087 5 1.00 6.11 .0088 3 1.00 6.65 .0089 4 1.00 6.23 .0090 1 1.00 0.91 .0091 3 1.00 1.95 .0092 3 1.00 6.30 .0093 3 1.00 6.76 .0094 3 1.00 6.70 .0095 3 1.00 7.17 .0096 3 1.00 6.45 .0097 4 1.00 5.96 .0098 4 1.00 5.54 .0099 2 1.00 5.90 .0100 3 1.00 6.27 .0101 4 1.00 6.83 .0102 4 1.00 6.79 .0103 4 1.00 6.77 .0104 3 1.00 6.24 .0105 4 1.00 6.42 .0106 3 1.00 5.45 .0107 4 1.00 6.01 .0108 2 1.00 7.74 .0109 4 1.00 6.40 .0110 3 1.00 7.49 .0111 3 1.00 6.36 .0112 3 1.00 8.40 .0113 3 1.00 6.39 .0114 4 1.00 6.15 .0115 3 1.00 7.40 .0116 3 1.00 7.24 .0117 2 1.00 9.59 .0118 2 1.00 9.06 .0119 3 1.00 6.87 .0120 3 1.00 5.60 .0121 3 1.00 5.34 .0122 3 1.00 6.78 .0123 3 1.00 7.32 .0124 2 1.00 8.63 .0125 3 1.00 7.52 .0126 2 1.00 7.49 .0127 2 1.00 8.98 .0128 3 1.00 6.46 .0129 3 1.00 7.13 .0130 3 1.00 6.70 .0131 4 1.00 6.91 .0132 3 1.00 7.05 .0133 3 1.00 7.24 .0134 3 1.00 7.29 .0135 3 1.00 7.90 .0136 3 1.00 7.86 .0137 4 1.00 5.67 .0138 3 1.00 6.33 .0139 3 1.00 6.82 .0140 4 1.00 6.97 .0141 3 1.00 7.46 .0142 3 1.00 6.62 .0143 5 1.00 6.18 .0144 3 1.00 7.13 .0145 3 1.00 6.98 .0146 4 1.00 6.54 .0147 3 1.00 7.14 .0148 3 1.00 7.30 .0149 3 1.00 7.44 .0150 3 1.00 7.63 .0151 3 1.00 6.75 .0152 3 1.00 7.53 .0153 3 1.00 6.73 .0154 2 1.00 7.69 .0155 2 1.00 7.63 .0156 3 1.00 7.07 .0157 3 1.00 7.46 .0158 3 1.00 7.87 .0159 3 1.00 6.90 .0160 3 1.00 7.62 .0161 3 1.00 6.93 .0162 3 1.00 8.14 .0163 3 1.00 7.36 .0164 4 1.00 6.59 .0165 3 1.00 7.67 .0166 3 1.00 7.27 .0167 3 1.00 6.98 .0168 3 1.00 8.42 .0169 3 1.00 7.35 .0170 3 1.00 8.28 .0171 3 1.00 7.13 .0172 3 1.00 8.40 .0173 5 1.00 1.90 .0174 1 1.00 5.12 .0175 3 1.00 7.66 .0176 2 1.00 7.89 .0177 3 1.00 7.92 .0178 3 1.00 7.21 .0179 3 1.00 8.20 .0180 4 1.00 5.52 .0181 3 1.00 6.31 .0182 4 1.00 5.43 .0183 4 1.00 5.18 .0184 3 1.00 5.52 .0185 3 1.00 6.17 .0186 4 1.00 5.52 .0187 3 1.00 5.45 .0188 3 1.00 4.89 .0189 3 1.00 5.49 .0190 3 1.00 6.30 .0191 4 1.00 5.76 .0192 3 1.00 5.72 .0193 4 1.00 5.85 .0194 3 1.00 5.76 .0195 4 1.00 5.80 .0196 4 1.00 6.03 .0197 3 1.00 6.65 .0198 4 1.00 5.94 .0199 4 1.00 5.93 .0200 3 1.00 7.52 .0201 3 1.00 7.92 .0202 3 1.00 7.23 .0203 3 1.00 7.29 .0204 3 1.00 7.74 .0205 3 1.00 6.86 .0206 3 1.00 6.62 .0207 4 1.00 6.53 .0208 3 1.00 6.65 .0209 4 1.00 6.73 .0210 3 1.00 7.52 .0211 3 1.00 7.61 .0212 4 1.00 7.26 .0213 3 1.00 6.36 .0214 4 1.00 6.68 .0215 4 1.00 7.32 .0216 3 1.00 7.01 .0217 3 1.00 7.82 .0218 3 1.00 7.75 .0219 3 1.00 7.65 .0220 3 1.00 7.62 .0221 3 1.00 7.97 .0222 3 1.00 7.40 .0223 3 1.00 7.77 .0224 3 1.00 7.40 .0225 3 1.00 8.07 .0226 3 1.00 7.41 .0227 3 1.00 8.18 .0228 3 1.00 7.33 .0229 3 1.00 8.25 .0230 3 1.00 7.64 .0231 3 1.00 7.90 .0232 3 1.00 7.91 .0233 3 1.00 8.21 .0234 3 1.00 7.41 .0235 3 1.00 8.05 .0236 3 1.00 8.19 .0237 3 1.00 7.22 .0238 3 1.00 7.65 .0239 3 1.00 134.22 .0240 3 1.00 7.73 .0241 3 1.00 7.40 .0242 3 1.00 6.93 .0243 3 1.00 7.07 .0244 3 1.00 7.40 .0245 3 1.00 7.07 .0246 3 1.00 7.13 .0247 3 1.00 7.87 .0248 3 1.00 7.02 .0249 3 1.00 4.26 .0250 4 1.00 7.56 .0251 1 1.00 0.93 .0252 4 1.00 6.93 .0253 5 1.00 6.34 .0254 4 1.00 6.50 .0255 7 1.00 5.45 .0256 3 1.00 8.30 .0257 3 1.00 7.03 .0258 2 1.00 8.88 .0259 2 1.00 8.36 .0260 4 1.00 6.19 .0261 3 1.00 6.67 .0262 4 1.00 5.75 .0263 3 1.00 6.79 .0264 3 1.00 7.15 .0265 3 1.00 6.54 .0266 3 1.00 7.26 .0267 3 1.00 6.63 .0268 3 1.00 6.39 .0269 3 1.00 7.26 .0270 3 1.00 7.49 .0271 3 1.00 7.15 .0272 3 1.00 7.30 .0273 3 1.00 6.97 .0274 3 1.00 7.59 .0275 3 1.00 7.13 .0276 2 1.00 7.75 .0277 4 1.00 6.56 .0278 3 1.00 7.24 .0279 2 1.00 8.21 .0280 3 1.00 7.51 .0281 3 1.00 8.15 .0282 3 1.00 7.46 .0283 3 1.00 6.76 .0284 3 1.00 7.55 .0285 3 1.00 6.39 .0286 3 1.00 6.84 .0287 3 1.00 7.62 .0288 3 1.00 6.89 .0289 3 1.00 7.77 .0290 2 1.00 7.71 .0291 3 1.00 7.50 .0292 3 1.00 8.27 .0293 5 1.00 6.45 .0294 1 1.00 1.13 .0295 3 1.00 7.62 .0296 3 1.00 7.55 .0297 3 1.00 7.29 .0298 3 1.00 7.32 .0299 3 1.00 7.27 .0300 3 1.00 7.09 .0301 4 1.00 6.31 .0302 4 1.00 6.10 .0303 4 1.00 6.31 .0304 4 1.00 5.20 .0305 3 1.00 5.79 .0306 3 1.00 6.26 .0307 3 1.00 7.36 .0308 3 1.00 7.26 .0309 3 1.00 6.04 .0310 3 1.00 6.94 .0311 3 1.00 7.57 .0312 2 1.00 7.54 .0313 3 1.00 7.47 .0314 4 1.00 6.40 .0315 3 1.00 7.43 .0316 2 1.00 6.75 .0317 3 1.00 7.23 .0318 3 1.00 7.03 .0319 3 1.00 6.89 EXTRACT_IMAGE: r1: masked 675 pixels TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: r1: Total rejected = 0 FITDISPERSION: r1: Median wavelength widths = 0.85 0.84 0.85 0.82 pix (LL LR UL UR) SPCALIB: r1: Create fiberflats for flat # 1 of 2 SPCALIB: r1: Flat sdR-r1-00034750.fit paired with arc sdR-r1-00034751.fit SPCALIB: r1: Reading flat sdR-r1-00034750.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.99561 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1182.81 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.68022 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1233.13 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1213. DN is 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 2 0.94 1.66 .0001 2 0.94 1.39 .0002 2 0.94 1.35 .0003 2 0.94 1.44 .0004 2 0.94 1.42 .0005 2 0.94 1.40 .0006 2 0.94 1.35 .0007 2 0.94 1.48 .0008 2 0.94 1.46 .0009 2 0.94 1.44 .0010 2 0.94 1.36 .0011 2 0.94 1.42 .0012 2 0.94 1.42 .0013 2 0.94 1.53 .0014 2 0.94 1.60 .0015 2 0.94 1.56 .0016 2 0.94 1.44 .0017 2 0.94 1.52 .0018 3 0.94 1.49 .0019 2 0.94 1.61 .0020 2 0.94 1.56 .0021 2 0.94 1.51 .0022 2 0.94 1.70 .0023 2 0.94 1.58 .0024 2 0.94 1.55 .0025 2 0.94 1.61 .0026 2 0.94 1.50 .0027 2 0.94 1.62 .0028 2 0.94 1.56 .0029 2 0.94 1.47 .0030 2 0.94 1.53 .0031 2 0.94 1.63 .0032 2 0.94 1.56 .0033 2 0.94 1.74 .0034 2 0.94 1.71 .0035 2 0.94 1.57 .0036 2 0.94 1.62 .0037 2 0.94 1.68 .0038 2 0.94 1.61 .0039 2 0.94 1.95 .0040 2 0.94 2.06 .0041 2 0.94 1.72 .0042 2 0.94 1.66 .0043 2 0.94 1.68 .0044 2 0.94 1.64 .0045 2 0.94 1.61 .0046 2 0.94 1.62 .0047 2 0.94 1.64 .0048 2 0.94 1.85 .0049 2 0.94 1.67 .0050 2 0.94 1.74 .0051 2 0.93 1.85 .0052 2 0.93 1.63 .0053 2 0.93 1.59 .0054 2 0.93 1.64 .0055 2 0.93 1.74 .0056 2 0.93 1.64 .0057 2 0.93 1.79 .0058 2 0.93 1.85 .0059 3 0.93 1.65 .0060 2 0.93 1.72 .0061 2 0.93 1.85 .0062 3 0.93 1.76 .0063 3 0.93 1.77 .0064 2 0.93 1.78 .0065 2 0.93 1.58 .0066 1 0.93 1.99 .0067 1 0.93 1.83 .0068 1 0.93 2.23 .0069 1 0.93 1.92 .0070 1 0.93 1.88 .0071 1 0.93 1.84 .0072 1 0.93 1.83 .0073 1 0.93 1.81 .0074 1 0.93 1.91 .0075 1 0.93 1.84 .0076 1 0.93 1.81 .0077 1 0.93 1.87 .0078 2 0.93 1.85 .0079 1 0.93 1.79 .0080 1 0.93 1.88 .0081 1 0.93 1.74 .0082 1 0.93 1.71 .0083 1 0.93 1.71 .0084 1 0.93 1.79 .0085 1 0.93 1.85 .0086 1 0.93 1.79 .0087 1 0.93 1.63 .0088 1 0.93 1.81 .0089 1 0.93 1.75 .0090 1 0.93 1.72 .0091 1 0.93 1.72 .0092 1 0.93 1.63 .0093 1 0.93 1.74 .0094 1 0.93 1.79 .0095 1 0.93 1.63 .0096 1 0.93 1.73 .0097 1 0.93 1.68 .0098 1 0.93 1.72 .0099 1 0.93 1.67 .0100 1 0.93 1.78 .0101 1 0.93 1.70 .0102 1 0.93 1.75 .0103 1 0.93 1.74 .0104 1 0.93 1.61 .0105 1 0.93 1.67 .0106 1 0.93 1.59 .0107 1 0.93 1.63 .0108 1 0.93 1.78 .0109 2 0.93 1.72 .0110 1 0.93 1.77 .0111 2 0.93 1.66 .0112 2 0.93 1.82 .0113 1 0.93 1.74 .0114 1 0.93 1.69 .0115 1 0.93 1.76 .0116 1 0.93 1.68 .0117 1 0.93 1.67 .0118 1 0.93 1.73 .0119 1 0.93 1.64 .0120 1 0.93 1.69 .0121 1 0.93 1.73 .0122 1 0.93 1.75 .0123 1 0.93 1.71 .0124 1 0.93 1.69 .0125 1 0.93 1.81 .0126 1 0.93 1.67 .0127 1 0.93 1.71 .0128 2 0.93 1.73 .0129 1 0.93 1.75 .0130 1 0.93 1.63 .0131 1 0.93 1.63 .0132 1 0.93 1.68 .0133 1 0.93 1.70 .0134 1 0.93 1.72 .0135 2 0.93 1.71 .0136 2 0.93 1.76 .0137 3 0.93 1.83 .0138 2 0.93 1.82 .0139 1 0.93 1.72 .0140 1 0.93 1.60 .0141 1 0.93 1.62 .0142 1 0.93 1.70 .0143 1 0.93 1.69 .0144 1 0.93 1.56 .0145 1 0.93 1.96 .0146 1 0.93 1.70 .0147 1 0.93 1.66 .0148 1 0.93 1.64 .0149 1 0.93 1.69 .0150 1 0.93 1.71 .0151 1 0.93 1.86 .0152 1 0.93 1.77 .0153 1 0.93 1.70 .0154 3 0.93 1.65 .0155 1 0.93 1.76 .0156 2 0.93 1.69 .0157 1 0.93 1.73 .0158 1 0.93 1.69 .0159 1 0.93 1.66 .0160 1 0.93 1.77 .0161 1 0.93 1.73 .0162 1 0.93 1.74 .0163 1 0.93 1.78 .0164 1 0.93 1.75 .0165 1 0.92 1.75 .0166 1 0.92 1.68 .0167 1 0.92 1.66 .0168 1 0.92 1.76 .0169 1 0.92 2.09 .0170 2 0.92 2.00 .0171 1 0.92 1.73 .0172 1 0.92 1.73 .0173 1 0.92 1.77 .0174 1 0.92 1.94 .0175 1 0.92 1.76 .0176 1 0.92 1.71 .0177 1 0.92 1.68 .0178 1 0.92 1.77 .0179 1 0.92 1.76 .0180 1 0.92 1.80 .0181 2 0.92 1.99 .0182 1 0.92 1.80 .0183 1 0.92 2.00 .0184 1 0.92 1.93 .0185 3 0.92 1.85 .0186 1 0.92 1.95 .0187 1 0.92 2.07 .0188 1 0.92 1.97 .0189 1 0.92 1.91 .0190 1 0.92 1.93 .0191 1 0.92 2.12 .0192 1 0.92 1.90 .0193 1 0.92 1.89 .0194 1 0.92 1.96 .0195 1 0.92 1.96 .0196 1 0.92 2.07 .0197 1 0.92 2.02 .0198 1 0.92 2.09 .0199 1 0.92 2.01 .0200 1 0.92 2.08 .0201 1 0.92 2.16 .0202 1 0.92 2.05 .0203 1 0.92 2.19 .0204 1 0.92 2.04 .0205 2 0.92 2.17 .0206 2 0.92 2.15 .0207 1 0.92 2.25 .0208 1 0.92 2.19 .0209 2 0.92 2.14 .0210 1 0.92 2.31 .0211 1 0.92 2.24 .0212 1 0.92 2.13 .0213 1 0.92 2.18 .0214 1 0.92 2.32 .0215 1 0.92 2.23 .0216 1 0.92 2.28 .0217 1 0.92 2.44 .0218 1 0.92 2.29 .0219 1 0.92 2.21 .0220 1 0.92 2.41 .0221 2 0.92 2.33 .0222 1 0.92 2.36 .0223 1 0.92 2.35 .0224 1 0.92 2.35 .0225 1 0.92 2.41 .0226 1 0.92 2.28 .0227 1 0.92 2.37 .0228 1 0.92 2.37 .0229 1 0.92 2.71 .0230 1 0.92 2.36 .0231 1 0.92 2.16 .0232 1 0.92 2.25 .0233 1 0.92 2.17 .0234 1 0.92 2.17 .0235 1 0.92 2.29 .0236 1 0.92 2.29 .0237 1 0.92 2.14 .0238 1 0.92 2.32 .0239 1 0.92 2.18 .0240 1 0.92 2.23 .0241 1 0.92 2.16 .0242 1 0.92 2.05 .0243 1 0.92 2.11 .0244 1 0.92 2.08 .0245 1 0.92 2.12 .0246 1 0.92 2.10 .0247 1 0.92 2.15 .0248 1 0.92 2.12 .0249 1 0.92 2.10 .0250 1 0.92 2.15 .0251 1 0.92 2.09 .0252 1 0.92 2.08 .0253 1 0.92 2.05 .0254 1 0.92 2.06 .0255 1 0.92 2.07 .0256 1 0.92 2.08 .0257 1 0.92 2.08 .0258 1 0.92 2.05 .0259 1 0.92 2.08 .0260 1 0.92 2.06 .0261 1 0.92 2.06 .0262 1 0.92 1.94 .0263 1 0.92 2.03 .0264 1 0.92 2.01 .0265 1 0.92 2.01 .0266 1 0.92 1.95 .0267 1 0.92 2.07 .0268 1 0.92 1.88 .0269 1 0.92 2.02 .0270 1 0.92 1.92 .0271 1 0.92 2.07 .0272 1 0.92 2.05 .0273 1 0.92 2.07 .0274 1 0.92 2.02 .0275 1 0.92 2.07 .0276 1 0.92 2.03 .0277 1 0.92 1.99 .0278 1 0.92 1.93 .0279 1 0.92 2.24 .0280 1 0.92 2.14 .0281 1 0.92 2.04 .0282 1 0.92 2.03 .0283 1 0.92 2.02 .0284 1 0.92 2.04 .0285 1 0.92 2.06 .0286 2 0.92 1.96 .0287 1 0.92 1.99 .0288 1 0.92 1.98 .0289 1 0.92 1.88 .0290 1 0.92 2.01 .0291 1 0.92 1.96 .0292 1 0.92 1.93 .0293 2 0.92 2.06 .0294 1 0.92 2.12 .0295 1 0.92 1.99 .0296 1 0.92 2.16 .0297 1 0.92 2.00 .0298 1 0.92 2.03 .0299 1 0.92 2.01 .0300 1 0.92 1.91 .0301 1 0.92 1.95 .0302 1 0.92 2.13 .0303 1 0.92 2.01 .0304 1 0.92 2.09 .0305 1 0.92 2.10 .0306 1 0.92 2.04 .0307 1 0.92 2.08 .0308 1 0.92 2.02 .0309 1 0.92 2.16 .0310 1 0.92 2.12 .0311 1 0.92 2.04 .0312 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1 0.93 5.00 .1756 1 0.93 4.98 .1757 1 0.93 5.24 .1758 1 0.93 5.09 .1759 2 0.93 4.94 .1760 3 0.93 5.12 .1761 1 0.93 5.42 .1762 1 0.93 5.10 .1763 1 0.93 5.56 .1764 1 0.93 4.82 .1765 1 0.93 5.12 .1766 1 0.93 5.00 .1767 1 0.93 4.71 .1768 1 0.93 4.89 .1769 1 0.93 4.98 .1770 1 0.93 4.77 .1771 1 0.93 5.05 .1772 1 0.93 4.91 .1773 1 0.93 5.02 .1774 1 0.93 5.12 .1775 1 0.93 4.87 .1776 1 0.93 5.00 .1777 1 0.93 5.01 .1778 1 0.93 4.84 .1779 1 0.93 5.04 .1780 1 0.93 5.08 .1781 1 0.93 6.36 .1782 1 0.93 4.91 .1783 1 0.93 4.99 .1784 1 0.93 5.03 .1785 1 0.93 5.06 .1786 1 0.93 4.98 .1787 1 0.93 5.11 .1788 1 0.93 4.94 .1789 1 0.93 4.78 .1790 1 0.93 5.41 .1791 1 0.93 4.94 .1792 1 0.93 5.00 .1793 1 0.93 4.74 .1794 1 0.93 4.65 .1795 1 0.93 4.70 .1796 1 0.93 4.91 .1797 1 0.93 4.99 .1798 1 0.93 4.87 .1799 1 0.93 4.95 .1800 1 0.93 4.89 .1801 1 0.93 4.84 .1802 1 0.93 4.66 .1803 1 0.93 4.90 .1804 1 0.93 4.91 .1805 1 0.93 4.77 .1806 1 0.93 4.79 .1807 1 0.93 4.98 .1808 1 0.93 4.86 .1809 1 0.93 4.84 .1810 2 0.93 4.81 .1811 1 0.93 4.91 .1812 1 0.93 4.78 .1813 1 0.93 5.04 .1814 1 0.93 4.86 .1815 1 0.93 5.06 .1816 1 0.93 4.87 .1817 1 0.93 4.91 .1818 1 0.93 5.01 .1819 1 0.93 4.88 .1820 1 0.93 5.01 .1821 1 0.93 5.32 .1822 1 0.93 4.97 .1823 2 0.93 4.94 .1824 1 0.93 4.96 .1825 1 0.93 5.12 .1826 1 0.93 4.94 .1827 2 0.93 5.49 .1828 1 0.93 5.06 .1829 1 0.93 4.92 .1830 1 0.93 5.06 .1831 1 0.93 4.87 .1832 1 0.93 4.98 .1833 1 0.93 5.02 .1834 1 0.93 5.05 .1835 1 0.93 4.94 .1836 1 0.93 4.99 .1837 1 0.93 5.07 .1838 1 0.93 5.46 .1839 1 0.93 4.91 .1840 1 0.93 5.03 .1841 1 0.93 4.98 .1842 1 0.93 5.04 .1843 1 0.93 4.83 .1844 1 0.93 5.18 .1845 1 0.93 5.16 .1846 1 0.93 5.02 .1847 1 0.93 5.02 .1848 1 0.93 5.26 .1849 1 0.93 4.86 .1850 1 0.93 5.20 .1851 1 0.93 5.06 .1852 1 0.93 4.94 .1853 1 0.93 5.22 .1854 1 0.93 5.07 .1855 1 0.93 4.96 .1856 1 0.93 4.93 .1857 1 0.93 4.94 .1858 1 0.93 4.84 .1859 1 0.93 5.19 .1860 1 0.93 5.09 .1861 1 0.93 5.04 .1862 1 0.93 5.23 .1863 1 0.93 5.09 .1864 1 0.93 5.14 .1865 1 0.93 5.06 .1866 1 0.93 5.25 .1867 1 0.93 5.43 .1868 1 0.93 5.48 .1869 1 0.93 5.31 .1870 1 0.93 5.25 .1871 1 0.93 5.37 .1872 1 0.93 5.40 .1873 1 0.93 5.64 .1874 1 0.93 5.38 .1875 1 0.93 5.30 .1876 1 0.93 5.40 .1877 1 0.93 5.27 .1878 1 0.93 5.25 .1879 1 0.93 5.37 .1880 1 0.93 5.39 .1881 1 0.93 5.57 .1882 1 0.93 5.05 .1883 1 0.93 5.24 .1884 1 0.93 5.35 .1885 1 0.93 5.86 .1886 1 0.93 5.26 .1887 1 0.93 5.12 .1888 1 0.93 5.04 .1889 1 0.93 5.20 .1890 2 0.93 5.24 .1891 1 0.93 5.26 .1892 1 0.93 5.33 .1893 1 0.93 5.09 .1894 1 0.93 5.38 .1895 1 0.93 5.35 .1896 1 0.93 5.18 .1897 1 0.93 5.36 .1898 1 0.93 5.29 .1899 1 0.93 5.42 .1900 1 0.93 5.14 .1901 1 0.93 5.47 .1902 1 0.93 5.57 .1903 1 0.93 5.45 .1904 1 0.93 5.53 .1905 1 0.93 5.68 .1906 2 0.93 5.72 .1907 1 0.93 5.56 .1908 1 0.93 5.42 .1909 1 0.93 5.65 .1910 1 0.93 5.48 .1911 1 0.93 5.54 .1912 1 0.93 5.37 .1913 1 0.93 5.48 .1914 1 0.93 5.66 .1915 1 0.93 5.44 .1916 1 0.93 5.22 .1917 1 0.93 5.20 .1918 1 0.93 5.34 .1919 1 0.93 5.03 .1920 1 0.93 5.26 .1921 1 0.93 5.23 .1922 1 0.93 5.21 .1923 1 0.93 5.37 .1924 1 0.93 5.12 .1925 1 0.93 5.28 .1926 1 0.93 5.31 .1927 1 0.93 5.37 .1928 1 0.93 4.92 .1929 1 0.93 4.94 .1930 1 0.93 5.04 .1931 1 0.93 5.02 .1932 1 0.93 5.14 .1933 1 0.93 4.96 .1934 1 0.93 4.99 .1935 1 0.93 4.87 .1936 1 0.93 5.07 .1937 1 0.93 5.06 .1938 1 0.93 5.23 .1939 1 0.93 5.19 .1940 1 0.93 5.31 .1941 1 0.93 5.17 .1942 1 0.93 5.33 .1943 2 0.93 5.27 .1944 1 0.93 5.60 .1945 1 0.93 5.89 .1946 1 0.93 5.53 .1947 1 0.93 5.24 .1948 1 0.93 4.93 .1949 1 0.93 5.29 .1950 2 0.93 5.02 .1951 1 0.93 4.80 .1952 1 0.93 5.11 .1953 1 0.93 5.14 .1954 1 0.93 5.26 .1955 1 0.93 5.11 .1956 1 0.93 4.99 .1957 1 0.93 5.24 .1958 1 0.93 5.08 .1959 1 0.93 5.16 .1960 1 0.93 5.06 .1961 1 0.93 5.00 .1962 1 0.93 5.02 .1963 1 0.93 4.97 .1964 1 0.93 4.98 .1965 1 0.93 5.25 .1966 1 0.93 5.09 .1967 1 0.93 5.15 .1968 1 0.93 5.23 .1969 1 0.93 5.16 .1970 1 0.93 5.16 .1971 1 0.93 4.79 .1972 1 0.93 5.09 .1973 2 0.93 5.07 .1974 1 0.93 4.76 .1975 1 0.93 5.11 .1976 1 0.93 5.12 .1977 1 0.93 4.94 .1978 1 0.93 5.06 .1979 1 0.93 4.76 .1980 1 0.93 4.85 .1981 1 0.93 4.79 .1982 1 0.93 4.93 .1983 1 0.93 4.94 .1984 1 0.93 4.78 .1985 1 0.93 4.84 .1986 1 0.93 5.24 .1987 1 0.93 5.07 .1988 1 0.93 5.10 .1989 1 0.93 5.09 .1990 1 0.93 4.88 .1991 1 0.93 5.05 .1992 1 0.93 4.91 .1993 1 0.93 4.92 .1994 1 0.93 5.04 .1995 1 0.93 4.88 .1996 1 0.93 4.89 .1997 1 0.93 4.93 .1998 1 0.93 4.99 .1999 1 0.93 5.07 .2000 1 0.93 4.94 .2001 1 0.93 5.15 .2002 1 0.93 5.14 .2003 1 0.93 4.76 .2004 1 0.93 4.70 .2005 2 0.93 4.77 .2006 2 0.93 5.55 .2007 1 0.93 4.70 .2008 1 0.93 4.71 .2009 1 0.93 4.56 .2010 1 0.93 5.01 .2011 1 0.93 5.00 .2012 1 0.93 4.70 .2013 1 0.93 4.80 .2014 1 0.93 4.54 .2015 1 0.93 4.83 .2016 1 0.93 4.78 .2017 1 0.93 4.76 .2018 1 0.93 4.83 .2019 1 0.93 5.32 .2020 1 0.93 5.00 .2021 1 0.93 5.05 .2022 1 0.93 4.90 .2023 1 0.93 4.77 .2024 1 0.93 4.92 .2025 1 0.93 4.92 .2026 1 0.93 5.32 .2027 1 0.93 4.89 .2028 1 0.93 5.04 .2029 1 0.93 4.99 .2030 1 0.93 4.92 .2031 1 0.93 4.96 .2032 1 0.93 4.86 .2033 1 0.93 4.87 .2034 1 0.93 5.06 .2035 1 0.93 5.00 .2036 1 0.93 4.88 .2037 1 0.93 4.74 .2038 1 0.93 4.73 .2039 1 0.93 4.69 .2040 1 0.93 4.66 .2041 1 0.93 4.65 .2042 1 0.93 4.90 .2043 1 0.93 4.78 .2044 1 0.93 4.52 .2045 1 0.93 4.73 .2046 1 0.93 4.58 .2047 1 0.93 4.68 EXTRACT_IMAGE: r1: masked 262 pixels DOSCATTER: r1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r1: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r1: adding rows: 64 Step 4 of 2112 0.58 96 0.01 0.14 Step 12 of 2112 0.58 96 0.01 0.15 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.58 96 0.02 0.15 Step 36 of 2112 0.58 96 0.02 0.15 Step 44 of 2112 0.58 96 0.02 0.16 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.59 96 0.02 0.15 Step 108 of 2112 0.59 96 0.02 0.16 Step 116 of 2112 0.60 96 0.02 0.14 Step 124 of 2112 0.60 96 0.02 0.14 Step 132 of 2112 0.60 96 0.02 0.14 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.14 Step 156 of 2112 0.60 96 0.02 0.14 Step 164 of 2112 0.60 96 0.02 0.15 Step 172 of 2112 0.60 96 0.02 0.16 Step 180 of 2112 0.60 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.16 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.15 Step 220 of 2112 0.61 96 0.02 0.15 Step 228 of 2112 0.61 96 0.02 0.15 Step 236 of 2112 0.61 96 0.02 0.15 Step 244 of 2112 0.61 96 0.02 0.14 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.14 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.62 96 0.03 0.17 Step 308 of 2112 0.62 96 0.02 0.16 Step 316 of 2112 0.63 96 0.03 0.16 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.16 Step 340 of 2112 0.63 96 0.02 0.16 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.63 96 0.02 0.14 Step 364 of 2112 0.63 96 0.02 0.15 Step 372 of 2112 0.63 96 0.03 0.16 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.15 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.14 Step 452 of 2112 0.65 96 0.02 0.14 Step 460 of 2112 0.65 96 0.03 0.14 Step 468 of 2112 0.65 96 0.02 0.14 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.02 0.20 Step 492 of 2112 0.65 128 0.02 0.20 Step 500 of 2112 0.65 128 0.02 0.21 Step 508 of 2112 0.66 128 0.01 0.20 Step 516 of 2112 0.66 128 0.02 0.20 Step 524 of 2112 0.66 128 0.02 0.19 Step 532 of 2112 0.66 128 0.02 0.19 Step 540 of 2112 0.66 128 0.03 0.19 Step 548 of 2112 0.66 128 0.02 0.21 Step 556 of 2112 0.66 128 0.02 0.21 Step 564 of 2112 0.66 128 0.02 0.21 Step 572 of 2112 0.67 128 0.03 0.22 Step 580 of 2112 0.67 128 0.03 0.21 Step 588 of 2112 0.67 128 0.03 0.21 Step 596 of 2112 0.67 128 0.03 0.22 Step 604 of 2112 0.67 128 0.03 0.21 Step 612 of 2112 0.67 128 0.03 0.20 Step 620 of 2112 0.67 128 0.04 0.23 Step 628 of 2112 0.67 128 0.03 0.22 Step 636 of 2112 0.68 128 0.03 0.20 Step 644 of 2112 0.68 128 0.04 0.19 Step 652 of 2112 0.68 128 0.04 0.22 Step 660 of 2112 0.68 128 0.03 0.19 Step 668 of 2112 0.68 128 0.03 0.22 Step 676 of 2112 0.68 128 0.02 0.21 Step 684 of 2112 0.68 128 0.03 0.22 Step 692 of 2112 0.69 128 0.03 0.23 Step 700 of 2112 0.69 128 0.03 0.21 Step 708 of 2112 0.69 128 0.02 0.21 Step 716 of 2112 0.69 128 0.02 0.21 Step 724 of 2112 0.69 128 0.02 0.20 Step 732 of 2112 0.69 128 0.02 0.19 Step 740 of 2112 0.69 128 0.02 0.19 Step 748 of 2112 0.69 128 0.02 0.20 Step 756 of 2112 0.70 128 0.03 0.21 Step 764 of 2112 0.70 128 0.03 0.20 Step 772 of 2112 0.70 128 0.03 0.18 Step 780 of 2112 0.70 128 0.03 0.21 Step 788 of 2112 0.70 128 0.03 0.21 Step 796 of 2112 0.70 128 0.03 0.21 Step 804 of 2112 0.70 128 0.03 0.20 Step 812 of 2112 0.70 128 0.03 0.21 Step 820 of 2112 0.71 128 0.03 0.19 Step 828 of 2112 0.71 128 0.02 0.19 Step 836 of 2112 0.71 128 0.03 0.22 Step 844 of 2112 0.71 128 0.02 0.21 Step 852 of 2112 0.71 128 0.02 0.20 Step 860 of 2112 0.71 128 0.03 0.20 Step 868 of 2112 0.71 128 0.02 0.21 Step 876 of 2112 0.72 128 0.02 0.21 Step 884 of 2112 0.72 128 0.04 0.22 Step 892 of 2112 0.72 128 0.04 0.22 Step 900 of 2112 0.72 128 0.03 0.20 Step 908 of 2112 0.72 128 0.03 0.20 Step 916 of 2112 0.72 128 0.02 0.19 Step 924 of 2112 0.72 128 0.03 0.20 Step 932 of 2112 0.72 128 0.02 0.19 Step 940 of 2112 0.73 128 0.03 0.21 Step 948 of 2112 0.73 128 0.03 0.20 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.02 0.18 Step 972 of 2112 0.73 128 0.03 0.21 Step 980 of 2112 0.73 160 0.03 0.32 Step 988 of 2112 0.73 160 0.03 0.32 Step 996 of 2112 0.74 160 0.03 0.32 Step 1004 of 2112 0.74 160 0.03 0.32 Step 1012 of 2112 0.74 160 0.03 0.33 Step 1020 of 2112 0.74 160 0.03 0.33 Step 1028 of 2112 0.74 160 0.03 0.34 Step 1036 of 2112 0.74 160 0.04 0.34 Step 1044 of 2112 0.74 160 0.04 0.33 Step 1052 of 2112 0.75 160 0.04 0.36 Step 1060 of 2112 0.75 160 0.03 0.34 Step 1068 of 2112 0.75 160 0.03 0.31 Step 1076 of 2112 0.75 160 0.05 0.33 Step 1084 of 2112 0.75 160 0.04 0.33 Step 1092 of 2112 0.75 160 0.03 0.32 Step 1100 of 2112 0.75 160 0.04 0.34 Step 1108 of 2112 0.75 160 0.03 0.33 Step 1116 of 2112 0.76 160 0.03 0.33 Step 1124 of 2112 0.76 160 0.03 0.34 Step 1132 of 2112 0.76 160 0.03 0.33 Step 1140 of 2112 0.76 160 0.04 0.32 Step 1148 of 2112 0.76 160 0.04 0.34 Step 1156 of 2112 0.76 160 0.05 0.33 Step 1164 of 2112 0.76 160 0.04 0.34 Step 1172 of 2112 0.77 160 0.04 0.33 Step 1180 of 2112 0.77 160 0.04 0.33 Step 1188 of 2112 0.77 160 0.04 0.34 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.03 0.33 Step 1212 of 2112 0.77 160 0.04 0.33 Step 1220 of 2112 0.77 160 0.05 0.37 Step 1228 of 2112 0.78 160 0.03 0.35 Step 1236 of 2112 0.78 160 0.03 0.35 Step 1244 of 2112 0.78 160 0.03 0.33 Step 1252 of 2112 0.78 160 0.03 0.32 Step 1260 of 2112 0.78 160 0.03 0.32 Step 1268 of 2112 0.78 160 0.03 0.33 Step 1276 of 2112 0.78 160 0.03 0.34 Step 1284 of 2112 0.78 160 0.03 0.33 Step 1292 of 2112 0.79 160 0.03 0.32 Step 1300 of 2112 0.79 160 0.03 0.33 Step 1308 of 2112 0.79 160 0.03 0.33 Step 1316 of 2112 0.79 160 0.03 0.33 Step 1324 of 2112 0.79 160 0.03 0.33 Step 1332 of 2112 0.79 160 0.03 0.32 Step 1340 of 2112 0.79 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.32 Step 1356 of 2112 0.80 160 0.03 0.32 Step 1364 of 2112 0.80 192 0.04 0.36 Step 1372 of 2112 0.80 192 0.03 0.36 Step 1380 of 2112 0.80 192 0.04 0.36 Step 1388 of 2112 0.80 192 0.04 0.38 Step 1396 of 2112 0.80 192 0.04 0.37 Step 1404 of 2112 0.81 192 0.04 0.36 Step 1412 of 2112 0.81 192 0.04 0.36 Step 1420 of 2112 0.81 192 0.03 0.37 Step 1428 of 2112 0.81 192 0.04 0.38 Step 1436 of 2112 0.81 192 0.03 0.36 Step 1444 of 2112 0.81 192 0.04 0.36 Step 1452 of 2112 0.81 192 0.03 0.36 Step 1460 of 2112 0.82 192 0.04 0.38 Step 1468 of 2112 0.82 192 0.04 0.37 Step 1476 of 2112 0.82 192 0.05 0.38 Step 1484 of 2112 0.82 192 0.03 0.38 Step 1492 of 2112 0.82 192 0.02 0.38 Step 1500 of 2112 0.82 192 0.03 0.38 Step 1508 of 2112 0.82 192 0.02 0.38 Step 1516 of 2112 0.83 192 0.03 0.36 Step 1524 of 2112 0.83 192 0.04 0.36 Step 1532 of 2112 0.83 192 0.04 0.36 Step 1540 of 2112 0.83 192 0.04 0.37 Step 1548 of 2112 0.83 192 0.04 0.37 Step 1556 of 2112 0.83 192 0.04 0.37 Step 1564 of 2112 0.83 192 0.03 0.38 Step 1572 of 2112 0.83 192 0.03 0.37 Step 1580 of 2112 0.84 192 0.04 0.38 Step 1588 of 2112 0.84 192 0.04 0.37 Step 1596 of 2112 0.84 192 0.04 0.38 Step 1604 of 2112 0.84 192 0.04 0.36 Step 1612 of 2112 0.84 192 0.04 0.38 Step 1620 of 2112 0.84 192 0.04 0.37 Step 1628 of 2112 0.84 192 0.04 0.37 Step 1636 of 2112 0.85 192 0.04 0.37 Step 1644 of 2112 0.85 192 0.03 0.36 Step 1652 of 2112 0.85 192 0.04 0.37 Step 1660 of 2112 0.85 192 0.04 0.36 Step 1668 of 2112 0.85 192 0.03 0.36 Step 1676 of 2112 0.85 192 0.04 0.37 Step 1684 of 2112 0.85 192 0.04 0.37 Step 1692 of 2112 0.86 224 0.04 0.48 Step 1700 of 2112 0.86 224 0.05 0.48 Step 1708 of 2112 0.86 224 0.04 0.48 Step 1716 of 2112 0.86 224 0.05 0.48 Step 1724 of 2112 0.86 224 0.04 0.50 Step 1732 of 2112 0.86 224 0.06 0.50 Step 1740 of 2112 0.86 224 0.05 0.50 Step 1748 of 2112 0.87 224 0.05 0.50 Step 1756 of 2112 0.87 224 0.03 0.48 Step 1764 of 2112 0.87 224 0.04 0.49 Step 1772 of 2112 0.87 224 0.03 0.48 Step 1780 of 2112 0.87 224 0.04 0.47 Step 1788 of 2112 0.87 224 0.04 0.47 Step 1796 of 2112 0.87 224 0.04 0.50 Step 1804 of 2112 0.88 224 0.04 0.49 Step 1812 of 2112 0.88 224 0.03 0.49 Step 1820 of 2112 0.88 224 0.05 0.52 Step 1828 of 2112 0.88 224 0.04 0.48 Step 1836 of 2112 0.88 224 0.05 0.51 Step 1844 of 2112 0.88 224 0.04 0.52 Step 1852 of 2112 0.88 224 0.04 0.52 Step 1860 of 2112 0.89 224 0.05 0.51 Step 1868 of 2112 0.89 224 0.05 0.51 Step 1876 of 2112 0.89 224 0.04 0.48 Step 1884 of 2112 0.89 224 0.05 0.48 Step 1892 of 2112 0.89 224 0.04 0.47 Step 1900 of 2112 0.89 224 0.05 0.47 Step 1908 of 2112 0.89 224 0.04 0.46 Step 1916 of 2112 0.90 224 0.04 0.48 Step 1924 of 2112 0.90 224 0.04 0.47 Step 1932 of 2112 0.90 224 0.04 0.46 Step 1940 of 2112 0.90 224 0.04 0.49 Step 1948 of 2112 0.90 224 0.04 0.49 Step 1956 of 2112 0.90 224 0.03 0.47 Step 1964 of 2112 0.90 256 0.03 0.50 Step 1972 of 2112 0.91 256 0.03 0.48 Step 1980 of 2112 0.91 256 0.05 0.49 Step 1988 of 2112 0.91 256 0.05 0.51 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.06 0.51 Step 2012 of 2112 0.91 256 0.03 0.50 Step 2020 of 2112 0.91 256 0.05 0.51 Step 2028 of 2112 0.92 256 0.04 0.49 Step 2036 of 2112 0.92 256 0.05 0.51 Step 2044 of 2112 0.92 256 0.05 0.50 Step 2052 of 2112 0.92 256 0.05 0.50 Step 2060 of 2112 0.92 256 0.05 0.50 Step 2068 of 2112 0.92 256 0.05 0.51 Step 2076 of 2112 0.92 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.05 0.53 Step 2092 of 2112 0.93 256 0.05 0.50 Step 2100 of 2112 0.93 256 0.05 0.53 Step 2108 of 2112 0.93 256 0.06 0.53 ROW NITER SIG(med) CHI^2 .0000 2 0.94 1.62 .0001 2 0.94 1.36 .0002 2 0.94 1.32 .0003 2 0.94 1.40 .0004 2 0.94 1.38 .0005 2 0.94 1.35 .0006 2 0.94 1.30 .0007 2 0.94 1.43 .0008 2 0.94 1.41 .0009 2 0.94 1.39 .0010 2 0.94 1.32 .0011 2 0.94 1.36 .0012 2 0.94 1.36 .0013 2 0.94 1.47 .0014 2 0.94 1.54 .0015 2 0.94 1.50 .0016 2 0.94 1.38 .0017 2 0.94 1.45 .0018 3 0.94 1.42 .0019 2 0.94 1.54 .0020 2 0.94 1.49 .0021 2 0.94 1.44 .0022 2 0.94 1.63 .0023 2 0.94 1.50 .0024 2 0.94 1.48 .0025 2 0.94 1.53 .0026 2 0.94 1.42 .0027 2 0.94 1.53 .0028 2 0.94 1.48 .0029 2 0.94 1.39 .0030 2 0.94 1.45 .0031 2 0.94 1.54 .0032 2 0.94 1.48 .0033 2 0.94 1.65 .0034 2 0.94 1.62 .0035 2 0.94 1.49 .0036 2 0.94 1.53 .0037 2 0.94 1.59 .0038 2 0.94 1.52 .0039 2 0.94 1.87 .0040 2 0.94 1.97 .0041 2 0.94 1.63 .0042 2 0.94 1.55 .0043 2 0.94 1.58 .0044 2 0.94 1.56 .0045 2 0.94 1.51 .0046 2 0.94 1.54 .0047 2 0.94 1.55 .0048 2 0.94 1.76 .0049 2 0.94 1.59 .0050 2 0.94 1.65 .0051 2 0.93 1.76 .0052 2 0.93 1.54 .0053 2 0.93 1.49 .0054 2 0.93 1.55 .0055 2 0.93 1.66 .0056 2 0.93 1.54 .0057 2 0.93 1.69 .0058 2 0.93 1.76 .0059 3 0.93 1.56 .0060 2 0.93 1.64 .0061 2 0.93 1.75 .0062 3 0.93 1.66 .0063 3 0.93 1.67 .0064 2 0.93 1.69 .0065 2 0.93 1.49 .0066 2 0.93 1.69 .0067 1 0.93 1.74 .0068 1 0.93 2.13 .0069 1 0.93 1.83 .0070 1 0.93 1.78 .0071 1 0.93 1.75 .0072 1 0.93 1.73 .0073 1 0.93 1.72 .0074 1 0.93 1.82 .0075 1 0.93 1.74 .0076 1 0.93 1.71 .0077 1 0.93 1.78 .0078 2 0.93 1.74 .0079 1 0.93 1.69 .0080 1 0.93 1.78 .0081 1 0.93 1.65 .0082 1 0.93 1.61 .0083 1 0.93 1.62 .0084 1 0.93 1.69 .0085 1 0.93 1.74 .0086 1 0.93 1.68 .0087 1 0.93 1.53 .0088 1 0.93 1.70 .0089 1 0.93 1.65 .0090 1 0.93 1.63 .0091 1 0.93 1.62 .0092 1 0.93 1.55 .0093 1 0.93 1.65 .0094 1 0.93 1.69 .0095 1 0.93 1.53 .0096 1 0.93 1.63 .0097 1 0.93 1.59 .0098 1 0.93 1.63 .0099 1 0.93 1.58 .0100 1 0.93 1.68 .0101 1 0.93 1.61 .0102 1 0.93 1.63 .0103 1 0.93 1.64 .0104 1 0.93 1.52 .0105 1 0.93 1.58 .0106 1 0.93 1.49 .0107 1 0.93 1.54 .0108 1 0.93 1.68 .0109 2 0.93 1.62 .0110 1 0.93 1.67 .0111 2 0.93 1.55 .0112 2 0.93 1.72 .0113 1 0.93 1.65 .0114 1 0.93 1.60 .0115 1 0.93 1.66 .0116 1 0.93 1.59 .0117 1 0.93 1.58 .0118 1 0.93 1.65 .0119 1 0.93 1.54 .0120 1 0.93 1.58 .0121 1 0.93 1.63 .0122 1 0.93 1.64 .0123 1 0.93 1.61 .0124 1 0.93 1.59 .0125 1 0.93 1.69 .0126 1 0.93 1.58 .0127 1 0.93 1.61 .0128 2 0.93 1.64 .0129 1 0.93 1.64 .0130 1 0.93 1.52 .0131 1 0.93 1.53 .0132 1 0.93 1.59 .0133 1 0.93 1.59 .0134 1 0.93 1.62 .0135 2 0.93 1.59 .0136 2 0.93 1.66 .0137 3 0.93 1.72 .0138 2 0.93 1.72 .0139 1 0.93 1.59 .0140 1 0.93 1.48 .0141 1 0.93 1.51 .0142 1 0.93 1.60 .0143 1 0.93 1.56 .0144 1 0.93 1.46 .0145 2 0.93 1.56 .0146 1 0.93 1.59 .0147 1 0.93 1.53 .0148 1 0.93 1.52 .0149 1 0.93 1.56 .0150 1 0.93 1.58 .0151 1 0.93 1.74 .0152 1 0.93 1.65 .0153 1 0.93 1.57 .0154 3 0.93 1.54 .0155 1 0.93 1.64 .0156 2 0.93 1.57 .0157 1 0.93 1.61 .0158 1 0.93 1.58 .0159 1 0.93 1.54 .0160 1 0.93 1.64 .0161 1 0.93 1.60 .0162 1 0.93 1.62 .0163 1 0.93 1.64 .0164 1 0.93 1.61 .0165 1 0.92 1.61 .0166 1 0.92 1.54 .0167 1 0.92 1.53 .0168 1 0.92 1.63 .0169 1 0.92 1.98 .0170 2 0.92 1.85 .0171 1 0.92 1.59 .0172 1 0.92 1.59 .0173 1 0.92 1.61 .0174 1 0.92 1.76 .0175 1 0.92 1.62 .0176 1 0.92 1.57 .0177 1 0.92 1.54 .0178 1 0.92 1.61 .0179 1 0.92 1.59 .0180 1 0.92 1.64 .0181 2 0.92 1.80 .0182 1 0.92 1.65 .0183 1 0.92 1.83 .0184 1 0.92 1.76 .0185 3 0.92 1.69 .0186 1 0.92 1.78 .0187 1 0.92 1.87 .0188 1 0.92 1.77 .0189 1 0.92 1.72 .0190 1 0.92 1.74 .0191 1 0.92 1.90 .0192 1 0.92 1.71 .0193 1 0.92 1.70 .0194 1 0.92 1.74 .0195 1 0.92 1.76 .0196 1 0.92 1.86 .0197 1 0.92 1.80 .0198 1 0.92 1.85 .0199 1 0.92 1.80 .0200 1 0.92 1.87 .0201 1 0.92 1.93 .0202 1 0.92 1.82 .0203 1 0.92 1.92 .0204 1 0.92 1.81 .0205 2 0.92 1.92 .0206 2 0.92 1.90 .0207 1 0.92 2.01 .0208 1 0.92 1.95 .0209 2 0.92 1.89 .0210 1 0.92 2.06 .0211 1 0.92 1.99 .0212 1 0.92 1.92 .0213 1 0.92 1.93 .0214 1 0.92 2.06 .0215 1 0.92 1.98 .0216 1 0.92 2.03 .0217 1 0.92 2.17 .0218 1 0.92 2.05 .0219 1 0.92 1.95 .0220 1 0.92 2.13 .0221 2 0.92 2.08 .0222 1 0.92 2.11 .0223 1 0.92 2.11 .0224 1 0.92 2.10 .0225 1 0.92 2.18 .0226 1 0.92 2.03 .0227 1 0.92 2.13 .0228 1 0.92 2.11 .0229 2 0.92 2.14 .0230 1 0.92 2.14 .0231 1 0.92 1.95 .0232 1 0.92 2.01 .0233 1 0.92 1.95 .0234 1 0.92 1.93 .0235 1 0.92 2.06 .0236 1 0.92 2.06 .0237 1 0.92 1.93 .0238 1 0.92 2.10 .0239 1 0.92 1.98 .0240 1 0.92 2.00 .0241 1 0.92 1.97 .0242 1 0.92 1.84 .0243 1 0.92 1.89 .0244 1 0.92 1.88 .0245 1 0.92 1.92 .0246 1 0.92 1.91 .0247 1 0.92 1.95 .0248 1 0.92 1.90 .0249 1 0.92 1.89 .0250 1 0.92 1.93 .0251 1 0.92 1.89 .0252 1 0.92 1.88 .0253 1 0.92 1.87 .0254 1 0.92 1.87 .0255 1 0.92 1.86 .0256 1 0.92 1.87 .0257 1 0.92 1.89 .0258 1 0.92 1.86 .0259 1 0.92 1.87 .0260 1 0.92 1.84 .0261 1 0.92 1.87 .0262 1 0.92 1.78 .0263 1 0.92 1.82 .0264 1 0.92 1.80 .0265 1 0.92 1.82 .0266 1 0.92 1.76 .0267 1 0.92 1.84 .0268 1 0.92 1.68 .0269 1 0.92 1.81 .0270 1 0.92 1.74 .0271 1 0.92 1.87 .0272 1 0.92 1.83 .0273 1 0.92 1.85 .0274 1 0.92 1.82 .0275 1 0.92 1.86 .0276 1 0.92 1.81 .0277 1 0.92 1.79 .0278 1 0.92 1.75 .0279 1 0.92 2.01 .0280 1 0.92 1.91 .0281 1 0.92 1.83 .0282 1 0.92 1.83 .0283 1 0.92 1.82 .0284 1 0.92 1.83 .0285 1 0.92 1.84 .0286 2 0.92 1.77 .0287 1 0.92 1.79 .0288 1 0.92 1.78 .0289 1 0.92 1.68 .0290 1 0.92 1.78 .0291 1 0.92 1.75 .0292 1 0.92 1.71 .0293 2 0.92 1.83 .0294 1 0.92 1.89 .0295 1 0.92 1.75 .0296 1 0.92 1.91 .0297 1 0.92 1.77 .0298 1 0.92 1.79 .0299 1 0.92 1.79 .0300 1 0.92 1.70 .0301 1 0.92 1.73 .0302 1 0.92 1.89 .0303 1 0.92 1.80 .0304 1 0.92 1.85 .0305 1 0.92 1.86 .0306 1 0.92 1.80 .0307 1 0.92 1.83 .0308 1 0.92 1.78 .0309 1 0.92 1.89 .0310 1 0.92 1.88 .0311 1 0.92 1.82 .0312 1 0.92 1.86 .0313 1 0.92 1.72 .0314 1 0.92 2.06 .0315 2 0.92 1.88 .0316 1 0.92 1.92 .0317 1 0.92 1.80 .0318 1 0.92 1.88 .0319 1 0.92 1.85 .0320 1 0.92 1.82 .0321 1 0.92 1.78 .0322 1 0.92 1.71 .0323 1 0.92 1.86 .0324 1 0.92 1.88 .0325 1 0.92 1.95 .0326 1 0.92 1.78 .0327 1 0.92 1.82 .0328 1 0.92 1.84 .0329 1 0.92 1.91 .0330 1 0.92 1.92 .0331 1 0.91 2.02 .0332 1 0.91 1.89 .0333 1 0.91 1.85 .0334 1 0.91 1.95 .0335 1 0.91 1.99 .0336 1 0.91 1.88 .0337 1 0.91 1.88 .0338 1 0.91 1.82 .0339 1 0.91 1.82 .0340 1 0.91 1.91 .0341 1 0.91 1.85 .0342 1 0.91 1.86 .0343 1 0.91 1.96 .0344 1 0.91 1.82 .0345 1 0.91 1.84 .0346 1 0.91 1.89 .0347 1 0.91 1.88 .0348 1 0.91 1.80 .0349 1 0.91 1.82 .0350 1 0.91 1.93 .0351 2 0.91 1.83 .0352 2 0.91 1.84 .0353 1 0.91 2.07 .0354 1 0.91 1.86 .0355 1 0.91 1.89 .0356 1 0.91 1.87 .0357 1 0.91 2.05 .0358 2 0.91 2.15 .0359 1 0.91 1.97 .0360 1 0.91 1.86 .0361 1 0.91 1.89 .0362 1 0.91 1.77 .0363 1 0.91 1.79 .0364 1 0.91 1.70 .0365 1 0.91 2.02 .0366 1 0.91 1.75 .0367 1 0.91 1.71 .0368 1 0.91 1.80 .0369 1 0.91 1.76 .0370 1 0.91 1.74 .0371 1 0.91 1.81 .0372 1 0.91 1.74 .0373 1 0.91 1.75 .0374 1 0.91 1.81 .0375 1 0.91 1.72 .0376 1 0.91 1.70 .0377 1 0.91 1.78 .0378 1 0.91 1.67 .0379 1 0.91 1.80 .0380 1 0.91 1.83 .0381 1 0.91 1.76 .0382 2 0.91 1.95 .0383 2 0.91 1.79 .0384 2 0.91 1.79 .0385 2 0.91 1.73 .0386 2 0.91 1.78 .0387 2 0.91 1.84 .0388 2 0.91 1.80 .0389 2 0.91 1.77 .0390 2 0.91 1.73 .0391 2 0.91 1.75 .0392 2 0.91 1.77 .0393 2 0.91 1.75 .0394 2 0.91 1.91 .0395 5 0.91 1.72 .0396 2 0.91 1.71 .0397 2 0.91 1.89 .0398 2 0.91 1.70 .0399 2 0.91 1.78 .0400 2 0.91 1.78 .0401 2 0.91 1.81 .0402 2 0.91 1.82 .0403 2 0.91 1.73 .0404 2 0.91 1.62 .0405 2 0.91 1.79 .0406 2 0.91 1.82 .0407 3 0.91 1.76 .0408 2 0.91 1.83 .0409 3 0.91 1.87 .0410 2 0.91 1.89 .0411 2 0.91 1.73 .0412 2 0.91 1.65 .0413 2 0.91 1.70 .0414 2 0.91 1.73 .0415 2 0.91 1.73 .0416 2 0.91 1.73 .0417 1 0.91 2.10 .0418 2 0.91 1.65 .0419 2 0.91 1.69 .0420 1 0.91 2.00 .0421 1 0.91 1.87 .0422 2 0.91 1.70 .0423 1 0.91 1.92 .0424 1 0.91 1.84 .0425 2 0.91 1.94 .0426 1 0.91 1.77 .0427 1 0.91 1.77 .0428 1 0.91 1.98 .0429 1 0.91 1.74 .0430 1 0.91 1.91 .0431 1 0.91 1.92 .0432 1 0.91 2.06 .0433 1 0.91 1.82 .0434 1 0.91 1.73 .0435 1 0.91 1.77 .0436 1 0.91 1.85 .0437 1 0.91 1.81 .0438 1 0.91 1.87 .0439 1 0.91 1.80 .0440 1 0.91 1.89 .0441 1 0.91 1.69 .0442 1 0.91 1.76 .0443 1 0.91 1.78 .0444 1 0.91 1.88 .0445 1 0.91 1.79 .0446 1 0.91 1.86 .0447 1 0.91 1.70 .0448 1 0.91 1.82 .0449 1 0.91 1.67 .0450 1 0.91 1.71 .0451 1 0.91 1.85 .0452 2 0.91 1.92 .0453 1 0.91 1.68 .0454 1 0.91 1.78 .0455 3 0.91 1.81 .0456 1 0.91 1.77 .0457 1 0.91 1.76 .0458 1 0.91 1.83 .0459 1 0.91 1.70 .0460 1 0.91 1.70 .0461 1 0.91 1.69 .0462 1 0.91 2.12 .0463 1 0.91 1.79 .0464 1 0.91 1.74 .0465 1 0.91 1.65 .0466 2 0.91 1.71 .0467 1 0.91 1.98 .0468 1 0.91 1.77 .0469 1 0.91 1.66 .0470 1 0.91 1.76 .0471 1 0.91 1.69 .0472 1 0.91 1.76 .0473 1 0.91 1.66 .0474 1 0.91 1.71 .0475 1 0.91 1.72 .0476 1 0.91 1.78 .0477 1 0.91 1.72 .0478 1 0.91 1.77 .0479 1 0.91 1.69 .0480 1 0.91 1.74 .0481 1 0.91 1.64 .0482 1 0.91 1.65 .0483 1 0.91 1.72 .0484 1 0.91 1.78 .0485 1 0.91 1.70 .0486 1 0.91 1.72 .0487 2 0.91 1.77 .0488 2 0.91 1.76 .0489 1 0.91 1.67 .0490 2 0.91 1.78 .0491 1 0.91 1.75 .0492 1 0.91 1.67 .0493 2 0.91 1.86 .0494 3 0.91 1.73 .0495 2 0.91 1.91 .0496 3 0.91 1.73 .0497 1 0.91 1.64 .0498 1 0.91 1.94 .0499 1 0.91 1.92 .0500 1 0.91 1.60 .0501 1 0.91 1.90 .0502 1 0.91 1.67 .0503 1 0.91 1.62 .0504 1 0.91 1.57 .0505 1 0.91 1.63 .0506 1 0.91 1.68 .0507 1 0.91 1.77 .0508 1 0.91 1.71 .0509 1 0.91 1.64 .0510 1 0.91 1.70 .0511 1 0.91 1.68 .0512 1 0.91 1.71 .0513 2 0.91 1.72 .0514 1 0.91 1.58 .0515 1 0.91 1.59 .0516 1 0.91 1.56 .0517 1 0.91 1.55 .0518 1 0.91 1.57 .0519 1 0.91 1.80 .0520 2 0.91 1.63 .0521 1 0.91 1.67 .0522 1 0.91 1.75 .0523 1 0.91 1.75 .0524 1 0.91 1.83 .0525 1 0.91 1.78 .0526 2 0.91 1.79 .0527 1 0.91 1.68 .0528 1 0.91 1.79 .0529 1 0.91 1.74 .0530 1 0.91 1.76 .0531 1 0.91 1.81 .0532 1 0.91 1.78 .0533 1 0.91 1.68 .0534 1 0.91 1.76 .0535 1 0.91 1.89 .0536 1 0.91 1.86 .0537 1 0.91 1.75 .0538 1 0.91 1.79 .0539 1 0.91 1.74 .0540 1 0.91 1.78 .0541 1 0.91 1.75 .0542 1 0.91 1.77 .0543 1 0.91 1.84 .0544 1 0.91 1.80 .0545 1 0.91 1.79 .0546 1 0.91 1.86 .0547 2 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0.93 2.95 .1880 1 0.93 3.06 .1881 1 0.93 3.36 .1882 1 0.93 2.92 .1883 1 0.93 2.92 .1884 1 0.93 3.12 .1885 1 0.93 3.70 .1886 1 0.93 3.05 .1887 1 0.93 2.98 .1888 1 0.93 2.83 .1889 1 0.93 3.07 .1890 2 0.93 3.04 .1891 1 0.93 3.01 .1892 1 0.93 3.03 .1893 1 0.93 2.93 .1894 1 0.93 3.07 .1895 1 0.93 3.13 .1896 1 0.93 3.10 .1897 1 0.93 3.16 .1898 1 0.93 3.11 .1899 1 0.93 3.15 .1900 1 0.93 2.96 .1901 1 0.93 3.16 .1902 1 0.93 3.19 .1903 1 0.93 3.11 .1904 1 0.93 3.20 .1905 1 0.93 3.28 .1906 2 0.93 3.23 .1907 1 0.93 3.16 .1908 1 0.93 3.06 .1909 1 0.93 3.22 .1910 1 0.93 3.20 .1911 1 0.93 3.17 .1912 1 0.93 3.12 .1913 1 0.93 3.22 .1914 1 0.93 3.26 .1915 1 0.93 3.09 .1916 1 0.93 2.99 .1917 1 0.93 2.98 .1918 1 0.93 3.12 .1919 1 0.93 2.95 .1920 1 0.93 3.03 .1921 1 0.93 2.96 .1922 1 0.93 3.03 .1923 1 0.93 3.08 .1924 1 0.93 2.93 .1925 1 0.93 3.06 .1926 1 0.93 3.11 .1927 1 0.93 3.10 .1928 1 0.93 2.86 .1929 1 0.93 2.96 .1930 1 0.93 2.90 .1931 1 0.93 2.93 .1932 1 0.93 2.99 .1933 1 0.93 2.95 .1934 1 0.93 3.02 .1935 1 0.93 2.88 .1936 1 0.93 3.00 .1937 1 0.93 2.98 .1938 1 0.93 3.02 .1939 1 0.93 3.08 .1940 1 0.93 3.14 .1941 1 0.93 2.94 .1942 1 0.93 3.06 .1943 2 0.93 3.12 .1944 2 0.93 3.02 .1945 2 0.93 3.12 .1946 1 0.93 3.21 .1947 1 0.93 3.04 .1948 1 0.93 2.92 .1949 1 0.93 3.17 .1950 2 0.93 2.90 .1951 1 0.93 2.82 .1952 1 0.93 2.95 .1953 1 0.93 3.02 .1954 1 0.93 3.05 .1955 1 0.93 2.89 .1956 1 0.93 2.83 .1957 1 0.93 3.02 .1958 1 0.93 2.85 .1959 1 0.93 2.93 .1960 1 0.93 3.00 .1961 1 0.93 2.79 .1962 1 0.93 2.81 .1963 1 0.93 2.84 .1964 1 0.93 2.77 .1965 1 0.93 2.88 .1966 1 0.93 2.80 .1967 1 0.93 2.99 .1968 1 0.93 3.03 .1969 1 0.93 3.11 .1970 1 0.93 3.05 .1971 1 0.93 2.83 .1972 1 0.93 3.06 .1973 2 0.93 3.05 .1974 1 0.93 2.78 .1975 1 0.93 3.08 .1976 1 0.93 3.21 .1977 1 0.93 2.97 .1978 1 0.93 3.06 .1979 1 0.93 2.79 .1980 1 0.93 2.81 .1981 1 0.93 2.78 .1982 1 0.93 2.92 .1983 1 0.93 2.95 .1984 1 0.93 2.81 .1985 1 0.93 2.84 .1986 1 0.93 3.04 .1987 1 0.93 3.01 .1988 1 0.93 2.99 .1989 1 0.93 2.97 .1990 1 0.93 2.85 .1991 1 0.93 2.98 .1992 1 0.93 2.85 .1993 1 0.93 2.89 .1994 1 0.93 3.01 .1995 1 0.93 2.91 .1996 1 0.93 2.91 .1997 1 0.93 2.85 .1998 1 0.93 2.94 .1999 1 0.93 3.00 .2000 1 0.93 2.92 .2001 1 0.93 3.06 .2002 1 0.93 3.21 .2003 1 0.93 2.81 .2004 1 0.93 2.81 .2005 2 0.93 2.97 .2006 3 0.93 3.20 .2007 1 0.93 2.88 .2008 1 0.93 2.88 .2009 1 0.93 2.80 .2010 1 0.93 3.05 .2011 1 0.93 3.09 .2012 1 0.93 2.83 .2013 1 0.93 2.89 .2014 1 0.93 2.82 .2015 1 0.93 2.99 .2016 1 0.93 3.02 .2017 1 0.93 2.94 .2018 1 0.93 2.91 .2019 1 0.93 3.39 .2020 1 0.93 3.00 .2021 1 0.93 3.01 .2022 1 0.93 2.93 .2023 1 0.93 2.90 .2024 1 0.93 2.91 .2025 1 0.93 2.98 .2026 1 0.93 3.30 .2027 1 0.93 2.93 .2028 1 0.93 3.08 .2029 1 0.93 3.08 .2030 1 0.93 3.00 .2031 1 0.93 2.97 .2032 1 0.93 2.89 .2033 1 0.93 2.98 .2034 1 0.93 3.16 .2035 1 0.93 2.98 .2036 1 0.93 3.05 .2037 1 0.93 2.96 .2038 1 0.93 2.88 .2039 1 0.93 2.99 .2040 1 0.93 2.93 .2041 1 0.93 2.82 .2042 1 0.93 3.04 .2043 1 0.93 3.03 .2044 1 0.93 2.83 .2045 1 0.93 2.99 .2046 1 0.93 2.97 .2047 1 0.93 2.98 EXTRACT_IMAGE: r1: masked 328 pixels SPCALIB: r1: First extraction chi^2 1.34672 6.96271 SPCALIB: r1: Second extraction chi^2 1.30025 4.74145 SUPERFLAT: r1: Creating superflat from 304 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000highest breakpoint does not cover highest x value, changing .0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179Lowest breakpoint does not cover lowest x value: changing .0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r1: Number of fiberflat points LE 0 = 10799 SPCALIB: r1: Create fiberflats for flat # 2 of 2 SPCALIB: r1: Flat sdR-r1-00034756.fit paired with arc sdR-r1-00034757.fit SPCALIB: r1: Reading flat sdR-r1-00034756.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r1: Selecting op file opConfig-50000.par FINDOPFILE: r1: Selecting op file opBC-51813.par SDSSPROC: r1: Measured read-noise in DN for amp# 2 = 3.98299 SDSSPROC: r1: Measured bias value in DN for amp# 2 = 1182.41 SDSSPROC: r1: Applying gain for amp# 2 = 1.09000 SDSSPROC: r1: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: r1: Measured read-noise in DN for amp# 3 = 3.65030 SDSSPROC: r1: Measured bias value in DN for amp# 3 = 1232.76 SDSSPROC: r1: Applying gain for amp# 3 = 1.00000 SDSSPROC: r1: Amp #3 Number of pix below bias-5*sigma= 1213. DN is 0 FINDOPFILE: r1: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: r1: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r1: Selecting op file pixflatave-53678-r1.fits SDSSPROC: r1: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 2 0.95 1.55 .0001 2 0.95 1.34 .0002 2 0.95 1.35 .0003 2 0.95 1.29 .0004 2 0.95 1.39 .0005 3 0.95 1.42 .0006 2 0.95 1.46 .0007 2 0.95 1.35 .0008 2 0.95 1.31 .0009 2 0.95 1.40 .0010 2 0.95 1.55 .0011 2 0.95 1.44 .0012 2 0.95 1.45 .0013 2 0.95 1.51 .0014 2 0.95 1.44 .0015 2 0.95 1.53 .0016 2 0.95 1.56 .0017 2 0.95 1.57 .0018 2 0.95 1.48 .0019 2 0.95 1.49 .0020 2 0.95 1.62 .0021 2 0.95 1.46 .0022 2 0.95 1.50 .0023 2 0.95 1.57 .0024 2 0.95 1.52 .0025 2 0.95 1.66 .0026 2 0.95 1.49 .0027 2 0.95 1.67 .0028 2 0.95 1.56 .0029 2 0.95 1.53 .0030 2 0.95 1.61 .0031 2 0.95 1.62 .0032 2 0.95 1.64 .0033 2 0.95 1.61 .0034 2 0.95 1.60 .0035 2 0.95 1.58 .0036 2 0.95 1.65 .0037 2 0.95 1.65 .0038 2 0.95 1.67 .0039 2 0.95 1.65 .0040 2 0.95 1.71 .0041 2 0.95 1.73 .0042 2 0.95 1.87 .0043 2 0.95 1.76 .0044 2 0.95 1.56 .0045 2 0.95 1.65 .0046 2 0.95 1.64 .0047 2 0.95 1.81 .0048 2 0.95 1.92 .0049 2 0.95 1.79 .0050 2 0.95 1.77 .0051 2 0.95 1.78 .0052 2 0.95 1.82 .0053 2 0.95 1.80 .0054 2 0.95 1.76 .0055 2 0.95 1.77 .0056 2 0.95 1.74 .0057 2 0.95 1.80 .0058 1 0.95 2.00 .0059 2 0.95 1.76 .0060 1 0.95 1.98 .0061 1 0.95 1.95 .0062 1 0.95 1.92 .0063 1 0.95 1.98 .0064 2 0.95 1.91 .0065 1 0.95 1.96 .0066 1 0.95 1.91 .0067 1 0.95 1.95 .0068 1 0.95 1.83 .0069 1 0.95 1.83 .0070 3 0.94 1.88 .0071 1 0.94 1.95 .0072 1 0.94 1.77 .0073 1 0.94 1.84 .0074 1 0.94 1.86 .0075 1 0.94 1.94 .0076 1 0.94 1.66 .0077 1 0.94 1.82 .0078 1 0.94 1.87 .0079 1 0.94 1.84 .0080 1 0.94 1.91 .0081 1 0.94 1.77 .0082 1 0.94 1.89 .0083 1 0.94 1.82 .0084 1 0.94 1.88 .0085 1 0.94 1.79 .0086 1 0.94 1.90 .0087 1 0.94 1.86 .0088 2 0.94 1.80 .0089 1 0.94 1.77 .0090 1 0.94 1.80 .0091 2 0.94 1.89 .0092 1 0.94 1.85 .0093 1 0.94 1.76 .0094 1 0.94 1.77 .0095 1 0.94 1.73 .0096 1 0.94 1.90 .0097 1 0.94 1.81 .0098 1 0.94 1.84 .0099 1 0.94 1.70 .0100 1 0.94 2.01 .0101 1 0.94 1.61 .0102 1 0.94 1.71 .0103 1 0.94 1.74 .0104 1 0.94 1.81 .0105 2 0.94 1.82 .0106 1 0.94 1.75 .0107 1 0.94 1.68 .0108 1 0.94 1.84 .0109 1 0.94 1.79 .0110 1 0.94 1.87 .0111 1 0.94 1.75 .0112 2 0.94 1.98 .0113 1 0.94 2.00 .0114 1 0.94 1.71 .0115 1 0.94 1.63 .0116 1 0.94 1.73 .0117 1 0.94 1.70 .0118 1 0.94 1.80 .0119 1 0.94 1.80 .0120 1 0.94 1.68 .0121 1 0.94 1.63 .0122 1 0.94 1.73 .0123 1 0.94 1.68 .0124 1 0.94 1.70 .0125 1 0.94 1.65 .0126 1 0.94 1.71 .0127 1 0.94 1.72 .0128 2 0.94 1.69 .0129 2 0.94 1.86 .0130 1 0.94 1.84 .0131 1 0.94 1.62 .0132 1 0.94 1.66 .0133 1 0.94 1.69 .0134 1 0.94 1.76 .0135 1 0.94 1.76 .0136 1 0.94 1.69 .0137 1 0.94 1.67 .0138 1 0.94 1.66 .0139 1 0.94 1.74 .0140 1 0.94 1.75 .0141 1 0.94 1.86 .0142 1 0.94 1.75 .0143 1 0.94 1.69 .0144 1 0.94 1.81 .0145 1 0.94 1.82 .0146 1 0.94 1.70 .0147 1 0.94 1.64 .0148 1 0.94 1.73 .0149 1 0.94 1.77 .0150 1 0.94 1.68 .0151 1 0.94 1.70 .0152 1 0.94 1.82 .0153 1 0.94 1.78 .0154 1 0.93 1.74 .0155 1 0.93 1.88 .0156 2 0.93 1.82 .0157 1 0.93 1.71 .0158 1 0.93 1.70 .0159 1 0.93 1.76 .0160 1 0.93 1.69 .0161 1 0.93 1.82 .0162 1 0.93 1.73 .0163 1 0.93 1.68 .0164 1 0.93 1.83 .0165 1 0.93 1.83 .0166 1 0.93 1.77 .0167 1 0.93 1.70 .0168 1 0.93 1.69 .0169 1 0.93 1.85 .0170 1 0.93 1.85 .0171 1 0.93 1.76 .0172 1 0.93 1.77 .0173 1 0.93 1.66 .0174 1 0.93 1.78 .0175 1 0.93 1.81 .0176 1 0.93 1.80 .0177 1 0.93 1.88 .0178 1 0.93 1.86 .0179 1 0.93 1.86 .0180 1 0.93 1.81 .0181 1 0.93 1.82 .0182 1 0.93 1.99 .0183 1 0.93 1.82 .0184 1 0.93 2.02 .0185 1 0.93 1.88 .0186 1 0.93 1.84 .0187 1 0.93 1.96 .0188 1 0.93 1.97 .0189 1 0.93 1.92 .0190 1 0.93 1.85 .0191 1 0.93 1.99 .0192 3 0.93 2.13 .0193 2 0.93 2.14 .0194 1 0.93 2.03 .0195 1 0.93 2.02 .0196 1 0.93 1.97 .0197 1 0.93 1.99 .0198 1 0.93 1.96 .0199 1 0.93 2.08 .0200 1 0.93 2.11 .0201 1 0.93 2.11 .0202 1 0.93 2.22 .0203 1 0.93 2.16 .0204 1 0.93 2.20 .0205 1 0.93 2.15 .0206 1 0.93 2.08 .0207 1 0.93 2.20 .0208 1 0.93 2.24 .0209 1 0.93 2.08 .0210 1 0.93 2.46 .0211 1 0.93 2.22 .0212 1 0.93 2.39 .0213 1 0.93 2.18 .0214 1 0.93 2.39 .0215 1 0.93 2.41 .0216 1 0.93 2.30 .0217 1 0.93 2.52 .0218 1 0.93 2.32 .0219 1 0.93 2.43 .0220 1 0.93 2.28 .0221 1 0.93 2.41 .0222 1 0.93 2.78 .0223 1 0.93 2.53 .0224 1 0.93 2.50 .0225 1 0.93 2.51 .0226 1 0.93 2.43 .0227 1 0.93 2.39 .0228 1 0.93 2.34 .0229 1 0.93 2.51 .0230 1 0.93 2.41 .0231 1 0.93 2.23 .0232 1 0.93 2.19 .0233 1 0.93 2.32 .0234 1 0.93 2.27 .0235 1 0.93 2.30 .0236 1 0.93 2.42 .0237 1 0.93 2.20 .0238 1 0.93 2.19 .0239 1 0.93 2.20 .0240 1 0.93 2.08 .0241 1 0.93 2.19 .0242 1 0.93 2.18 .0243 1 0.93 2.09 .0244 1 0.93 2.21 .0245 1 0.93 2.15 .0246 1 0.93 2.10 .0247 1 0.93 2.23 .0248 1 0.93 2.22 .0249 1 0.93 2.07 .0250 1 0.93 2.05 .0251 1 0.93 2.17 .0252 1 0.93 2.16 .0253 1 0.93 2.08 .0254 1 0.93 2.14 .0255 1 0.93 2.13 .0256 1 0.93 1.97 .0257 1 0.93 1.99 .0258 1 0.93 1.98 .0259 1 0.93 2.19 .0260 1 0.93 2.21 .0261 4 0.93 2.05 .0262 3 0.93 2.11 .0263 1 0.93 2.10 .0264 1 0.93 1.99 .0265 1 0.93 1.96 .0266 1 0.93 2.10 .0267 1 0.93 2.09 .0268 1 0.93 1.98 .0269 1 0.93 2.01 .0270 1 0.93 2.00 .0271 1 0.93 2.03 .0272 1 0.93 1.96 .0273 1 0.93 2.00 .0274 1 0.93 2.08 .0275 2 0.93 2.17 .0276 1 0.93 1.91 .0277 1 0.93 1.98 .0278 1 0.93 1.98 .0279 1 0.93 1.98 .0280 2 0.93 1.98 .0281 1 0.93 1.91 .0282 1 0.93 1.99 .0283 1 0.93 2.08 .0284 1 0.93 2.01 .0285 1 0.93 2.00 .0286 1 0.93 2.02 .0287 1 0.93 2.02 .0288 1 0.93 1.92 .0289 1 0.93 2.01 .0290 1 0.93 2.10 .0291 1 0.93 1.90 .0292 1 0.93 2.06 .0293 1 0.92 1.87 .0294 2 0.92 1.97 .0295 1 0.92 2.03 .0296 1 0.92 1.94 .0297 1 0.92 2.03 .0298 1 0.92 1.91 .0299 1 0.92 1.95 .0300 3 0.92 1.88 .0301 2 0.92 2.18 .0302 1 0.92 1.91 .0303 1 0.92 2.01 .0304 1 0.92 2.03 .0305 1 0.92 2.19 .0306 1 0.92 1.98 .0307 1 0.92 2.09 .0308 1 0.92 1.97 .0309 1 0.92 1.99 .0310 1 0.92 1.97 .0311 1 0.92 2.01 .0312 1 0.92 2.09 .0313 1 0.92 2.13 .0314 1 0.92 2.36 .0315 1 0.92 2.14 .0316 1 0.92 2.12 .0317 1 0.92 2.15 .0318 1 0.92 2.20 .0319 1 0.92 2.06 .0320 1 0.92 2.06 .0321 1 0.92 1.99 .0322 1 0.92 2.24 .0323 3 0.92 2.19 .0324 1 0.92 2.09 .0325 1 0.92 2.10 .0326 1 0.92 2.05 .0327 1 0.92 2.18 .0328 1 0.92 2.15 .0329 1 0.92 1.98 .0330 1 0.92 2.14 .0331 1 0.92 2.18 .0332 1 0.92 2.09 .0333 1 0.92 2.11 .0334 1 0.92 2.12 .0335 1 0.92 2.09 .0336 1 0.92 2.17 .0337 1 0.92 2.25 .0338 1 0.92 2.15 .0339 1 0.92 2.19 .0340 2 0.92 2.18 .0341 1 0.92 2.00 .0342 1 0.92 2.07 .0343 1 0.92 2.10 .0344 1 0.92 2.50 .0345 1 0.92 2.13 .0346 1 0.92 2.10 .0347 1 0.92 2.01 .0348 1 0.92 2.12 .0349 1 0.92 2.06 .0350 1 0.92 2.20 .0351 1 0.92 1.99 .0352 1 0.92 2.22 .0353 1 0.92 2.14 .0354 1 0.92 2.18 .0355 1 0.92 2.10 .0356 1 0.92 2.06 .0357 1 0.92 2.04 .0358 1 0.92 2.14 .0359 1 0.92 2.08 .0360 1 0.92 2.03 .0361 1 0.92 1.97 .0362 1 0.92 1.97 .0363 1 0.92 1.95 .0364 2 0.92 2.09 .0365 1 0.92 2.01 .0366 1 0.92 2.00 .0367 1 0.92 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5.47 .1700 1 0.93 5.25 .1701 1 0.93 5.30 .1702 1 0.93 5.08 .1703 1 0.93 5.22 .1704 1 0.93 5.39 .1705 1 0.93 5.41 .1706 1 0.93 5.40 .1707 1 0.93 5.16 .1708 1 0.93 5.29 .1709 1 0.93 4.98 .1710 1 0.93 5.45 .1711 1 0.93 5.29 .1712 2 0.93 5.54 .1713 1 0.93 5.79 .1714 1 0.93 5.36 .1715 1 0.93 5.26 .1716 1 0.93 5.27 .1717 1 0.93 5.28 .1718 1 0.93 5.18 .1719 1 0.93 5.30 .1720 1 0.93 5.03 .1721 1 0.93 5.37 .1722 1 0.92 5.30 .1723 1 0.92 5.32 .1724 1 0.92 5.02 .1725 1 0.92 4.91 .1726 1 0.92 5.24 .1727 1 0.92 5.07 .1728 2 0.92 5.22 .1729 1 0.92 5.03 .1730 1 0.92 6.08 .1731 1 0.92 5.06 .1732 1 0.92 4.96 .1733 1 0.92 5.06 .1734 1 0.92 5.01 .1735 1 0.92 5.03 .1736 1 0.92 5.14 .1737 1 0.92 4.99 .1738 1 0.92 5.19 .1739 1 0.92 4.91 .1740 1 0.92 5.20 .1741 1 0.92 4.98 .1742 1 0.92 5.06 .1743 1 0.92 5.15 .1744 1 0.92 5.27 .1745 1 0.92 5.14 .1746 1 0.92 5.03 .1747 1 0.92 5.07 .1748 1 0.92 4.90 .1749 2 0.92 4.95 .1750 1 0.92 5.01 .1751 1 0.92 5.05 .1752 1 0.92 4.78 .1753 1 0.92 5.07 .1754 1 0.92 5.24 .1755 1 0.92 4.99 .1756 1 0.92 4.74 .1757 1 0.92 4.93 .1758 1 0.92 5.03 .1759 1 0.92 4.87 .1760 1 0.92 5.06 .1761 1 0.92 4.89 .1762 1 0.92 4.90 .1763 1 0.92 4.94 .1764 1 0.92 4.94 .1765 1 0.92 4.88 .1766 1 0.92 4.81 .1767 1 0.92 4.79 .1768 1 0.92 4.81 .1769 1 0.92 4.77 .1770 1 0.92 4.84 .1771 1 0.92 4.99 .1772 1 0.92 4.95 .1773 1 0.92 4.66 .1774 1 0.92 4.93 .1775 1 0.92 4.82 .1776 1 0.92 4.89 .1777 1 0.92 4.99 .1778 1 0.92 4.94 .1779 1 0.92 4.84 .1780 1 0.92 4.76 .1781 1 0.92 5.02 .1782 1 0.92 4.79 .1783 1 0.92 4.87 .1784 1 0.92 4.93 .1785 1 0.92 4.94 .1786 1 0.92 4.86 .1787 1 0.92 4.94 .1788 1 0.92 5.05 .1789 2 0.92 4.80 .1790 1 0.92 4.73 .1791 1 0.92 5.01 .1792 2 0.92 4.85 .1793 1 0.92 4.98 .1794 1 0.92 4.78 .1795 1 0.92 4.86 .1796 1 0.92 4.77 .1797 1 0.92 4.87 .1798 1 0.92 4.68 .1799 1 0.92 4.65 .1800 1 0.92 4.88 .1801 1 0.92 4.71 .1802 1 0.92 4.82 .1803 1 0.92 4.72 .1804 1 0.92 4.75 .1805 1 0.92 4.65 .1806 1 0.92 4.85 .1807 1 0.92 4.62 .1808 1 0.92 4.70 .1809 1 0.92 4.68 .1810 1 0.92 5.44 .1811 1 0.92 4.86 .1812 2 0.92 4.86 .1813 1 0.92 4.93 .1814 1 0.92 4.79 .1815 1 0.92 4.75 .1816 1 0.92 5.04 .1817 1 0.92 5.06 .1818 1 0.92 4.87 .1819 1 0.92 5.11 .1820 1 0.92 5.01 .1821 1 0.92 4.85 .1822 1 0.92 5.00 .1823 1 0.92 4.82 .1824 1 0.92 4.86 .1825 1 0.92 5.16 .1826 1 0.92 4.73 .1827 1 0.92 4.92 .1828 1 0.92 4.99 .1829 2 0.92 5.24 .1830 2 0.92 5.11 .1831 1 0.92 5.04 .1832 1 0.92 4.90 .1833 1 0.92 4.87 .1834 1 0.92 5.00 .1835 1 0.92 5.04 .1836 1 0.92 5.02 .1837 1 0.92 4.94 .1838 1 0.92 4.95 .1839 1 0.92 4.93 .1840 1 0.92 5.12 .1841 1 0.92 4.96 .1842 1 0.92 5.01 .1843 1 0.92 5.08 .1844 1 0.92 5.37 .1845 1 0.92 5.14 .1846 1 0.92 4.75 .1847 1 0.92 5.12 .1848 1 0.92 5.03 .1849 1 0.92 5.10 .1850 1 0.92 5.06 .1851 1 0.92 5.00 .1852 1 0.92 4.93 .1853 1 0.92 4.95 .1854 1 0.92 5.32 .1855 1 0.92 5.06 .1856 1 0.92 5.06 .1857 1 0.92 5.02 .1858 1 0.92 5.02 .1859 1 0.92 5.11 .1860 1 0.92 5.07 .1861 1 0.92 5.24 .1862 1 0.92 5.24 .1863 1 0.92 5.22 .1864 1 0.92 5.13 .1865 1 0.92 5.42 .1866 1 0.92 5.51 .1867 1 0.92 5.34 .1868 1 0.92 5.30 .1869 1 0.92 5.35 .1870 1 0.92 5.34 .1871 1 0.92 5.96 .1872 1 0.92 5.24 .1873 1 0.92 5.26 .1874 1 0.92 5.07 .1875 1 0.92 5.99 .1876 1 0.92 5.38 .1877 1 0.92 5.26 .1878 1 0.92 5.27 .1879 1 0.92 5.40 .1880 1 0.92 5.26 .1881 1 0.92 5.01 .1882 1 0.92 5.27 .1883 1 0.92 5.22 .1884 1 0.92 4.99 .1885 1 0.92 4.95 .1886 1 0.92 5.05 .1887 1 0.92 5.12 .1888 1 0.92 5.11 .1889 1 0.92 4.92 .1890 1 0.92 5.24 .1891 1 0.92 5.11 .1892 1 0.92 5.33 .1893 1 0.92 5.19 .1894 1 0.92 5.39 .1895 1 0.92 5.28 .1896 1 0.92 5.19 .1897 1 0.92 5.18 .1898 1 0.92 5.11 .1899 1 0.92 5.18 .1900 1 0.92 5.55 .1901 1 0.92 5.08 .1902 1 0.92 5.36 .1903 1 0.92 5.27 .1904 1 0.92 5.68 .1905 1 0.92 5.73 .1906 1 0.92 5.32 .1907 1 0.92 5.60 .1908 1 0.92 5.75 .1909 1 0.92 5.44 .1910 1 0.92 5.54 .1911 1 0.92 5.57 .1912 1 0.92 5.48 .1913 1 0.92 5.37 .1914 1 0.92 5.25 .1915 1 0.92 5.71 .1916 1 0.92 5.13 .1917 1 0.92 5.31 .1918 1 0.92 5.08 .1919 1 0.92 5.31 .1920 1 0.92 6.07 .1921 3 0.92 5.33 .1922 1 0.92 5.40 .1923 1 0.92 5.24 .1924 1 0.92 5.34 .1925 1 0.92 5.29 .1926 1 0.92 5.17 .1927 1 0.92 5.28 .1928 1 0.92 5.02 .1929 1 0.92 5.49 .1930 1 0.92 5.53 .1931 1 0.92 5.69 .1932 1 0.92 5.15 .1933 1 0.92 5.20 .1934 1 0.92 4.98 .1935 1 0.92 5.18 .1936 1 0.92 5.07 .1937 1 0.92 5.40 .1938 1 0.92 5.03 .1939 1 0.92 5.37 .1940 1 0.92 5.27 .1941 1 0.92 5.36 .1942 1 0.92 5.19 .1943 1 0.92 5.23 .1944 1 0.92 5.21 .1945 2 0.92 5.04 .1946 1 0.92 5.17 .1947 1 0.92 5.41 .1948 1 0.92 5.21 .1949 1 0.92 5.04 .1950 1 0.92 5.04 .1951 1 0.92 5.22 .1952 1 0.92 4.96 .1953 1 0.92 5.44 .1954 1 0.92 5.29 .1955 1 0.92 5.30 .1956 1 0.92 4.94 .1957 1 0.92 5.34 .1958 1 0.92 5.09 .1959 1 0.92 5.03 .1960 1 0.92 5.17 .1961 1 0.92 5.32 .1962 1 0.92 5.23 .1963 1 0.92 4.83 .1964 1 0.92 5.10 .1965 1 0.92 5.02 .1966 1 0.92 5.09 .1967 1 0.92 5.14 .1968 1 0.92 5.01 .1969 1 0.92 5.28 .1970 1 0.92 5.20 .1971 1 0.92 4.87 .1972 1 0.92 4.99 .1973 1 0.92 5.10 .1974 1 0.92 4.79 .1975 1 0.92 5.00 .1976 1 0.92 4.84 .1977 1 0.92 4.91 .1978 1 0.92 5.10 .1979 1 0.92 4.85 .1980 1 0.92 4.74 .1981 1 0.92 4.97 .1982 1 0.92 5.03 .1983 1 0.92 4.91 .1984 1 0.92 4.95 .1985 1 0.92 5.07 .1986 2 0.92 5.06 .1987 1 0.92 4.97 .1988 1 0.92 4.95 .1989 1 0.92 5.10 .1990 1 0.92 5.11 .1991 1 0.92 5.05 .1992 1 0.92 5.22 .1993 1 0.92 4.95 .1994 1 0.92 5.15 .1995 1 0.92 5.02 .1996 1 0.92 4.95 .1997 1 0.92 4.98 .1998 1 0.92 4.99 .1999 1 0.92 4.91 .2000 1 0.92 5.19 .2001 1 0.92 4.94 .2002 1 0.92 5.12 .2003 1 0.92 4.66 .2004 2 0.92 5.44 .2005 1 0.92 4.98 .2006 2 0.92 5.02 .2007 1 0.92 4.77 .2008 1 0.92 4.87 .2009 1 0.92 4.81 .2010 1 0.92 5.13 .2011 1 0.92 4.85 .2012 1 0.92 4.93 .2013 1 0.92 4.87 .2014 1 0.92 4.89 .2015 1 0.92 4.71 .2016 1 0.92 4.88 .2017 1 0.92 4.97 .2018 1 0.92 4.73 .2019 1 0.92 4.90 .2020 1 0.92 5.01 .2021 1 0.92 4.90 .2022 1 0.92 5.05 .2023 1 0.92 4.97 .2024 1 0.92 4.72 .2025 1 0.92 5.10 .2026 1 0.92 4.97 .2027 1 0.92 5.06 .2028 1 0.92 4.96 .2029 1 0.92 5.19 .2030 1 0.92 4.85 .2031 1 0.92 5.00 .2032 1 0.92 5.07 .2033 1 0.92 4.76 .2034 1 0.92 4.95 .2035 1 0.92 5.04 .2036 1 0.92 5.05 .2037 1 0.92 4.67 .2038 1 0.92 5.46 .2039 1 0.92 4.83 .2040 1 0.92 5.08 .2041 1 0.92 4.72 .2042 1 0.92 4.93 .2043 1 0.92 4.63 .2044 1 0.92 4.82 .2045 1 0.92 4.63 .2046 1 0.92 4.87 .2047 1 0.92 4.68 EXTRACT_IMAGE: r1: masked 262 pixels DOSCATTER: r1: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r1: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r1: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.14 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.14 Step 28 of 2112 0.58 96 0.02 0.16 Step 36 of 2112 0.58 96 0.02 0.14 Step 44 of 2112 0.58 96 0.02 0.14 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.14 Step 68 of 2112 0.59 96 0.02 0.14 Step 76 of 2112 0.59 96 0.02 0.14 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.59 96 0.02 0.15 Step 108 of 2112 0.59 96 0.02 0.14 Step 116 of 2112 0.60 96 0.03 0.15 Step 124 of 2112 0.60 96 0.02 0.16 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.60 96 0.02 0.16 Step 172 of 2112 0.60 96 0.02 0.16 Step 180 of 2112 0.60 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.15 Step 220 of 2112 0.61 96 0.02 0.15 Step 228 of 2112 0.61 96 0.02 0.15 Step 236 of 2112 0.61 96 0.02 0.15 Step 244 of 2112 0.61 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.15 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.62 96 0.02 0.15 Step 308 of 2112 0.62 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.14 Step 324 of 2112 0.63 96 0.02 0.14 Step 332 of 2112 0.63 96 0.02 0.14 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.63 96 0.03 0.16 Step 364 of 2112 0.63 96 0.02 0.16 Step 372 of 2112 0.63 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.16 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.14 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.16 Step 460 of 2112 0.65 96 0.02 0.14 Step 468 of 2112 0.65 96 0.03 0.15 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.03 0.20 Step 492 of 2112 0.65 128 0.03 0.20 Step 500 of 2112 0.65 128 0.03 0.20 Step 508 of 2112 0.66 128 0.03 0.22 Step 516 of 2112 0.66 128 0.02 0.21 Step 524 of 2112 0.66 128 0.03 0.21 Step 532 of 2112 0.66 128 0.03 0.21 Step 540 of 2112 0.66 128 0.03 0.21 Step 548 of 2112 0.66 128 0.03 0.19 Step 556 of 2112 0.66 128 0.03 0.21 Step 564 of 2112 0.66 128 0.03 0.19 Step 572 of 2112 0.67 128 0.03 0.21 Step 580 of 2112 0.67 128 0.02 0.19 Step 588 of 2112 0.67 128 0.02 0.19 Step 596 of 2112 0.67 128 0.02 0.20 Step 604 of 2112 0.67 128 0.01 0.19 Step 612 of 2112 0.67 128 0.01 0.19 Step 620 of 2112 0.67 128 0.02 0.21 Step 628 of 2112 0.68 128 0.02 0.21 Step 636 of 2112 0.68 128 0.01 0.19 Step 644 of 2112 0.68 128 0.01 0.20 Step 652 of 2112 0.68 128 0.02 0.20 Step 660 of 2112 0.68 128 0.02 0.20 Step 668 of 2112 0.68 128 0.02 0.20 Step 676 of 2112 0.68 128 0.02 0.20 Step 684 of 2112 0.68 128 0.02 0.20 Step 692 of 2112 0.69 128 0.02 0.21 Step 700 of 2112 0.69 128 0.02 0.20 Step 708 of 2112 0.69 128 0.03 0.22 Step 716 of 2112 0.69 128 0.02 0.20 Step 724 of 2112 0.69 128 0.03 0.21 Step 732 of 2112 0.69 128 0.02 0.21 Step 740 of 2112 0.69 128 0.03 0.21 Step 748 of 2112 0.69 128 0.03 0.20 Step 756 of 2112 0.70 128 0.02 0.19 Step 764 of 2112 0.70 128 0.03 0.21 Step 772 of 2112 0.70 128 0.03 0.21 Step 780 of 2112 0.70 128 0.02 0.19 Step 788 of 2112 0.70 128 0.02 0.20 Step 796 of 2112 0.70 128 0.02 0.20 Step 804 of 2112 0.70 128 0.01 0.20 Step 812 of 2112 0.71 128 0.02 0.21 Step 820 of 2112 0.71 128 0.02 0.21 Step 828 of 2112 0.71 128 0.02 0.20 Step 836 of 2112 0.71 128 0.02 0.20 Step 844 of 2112 0.71 128 0.02 0.20 Step 852 of 2112 0.71 128 0.02 0.20 Step 860 of 2112 0.71 128 0.02 0.19 Step 868 of 2112 0.71 128 0.02 0.20 Step 876 of 2112 0.72 128 0.02 0.20 Step 884 of 2112 0.72 128 0.02 0.21 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.02 0.20 Step 908 of 2112 0.72 128 0.02 0.20 Step 916 of 2112 0.72 128 0.02 0.21 Step 924 of 2112 0.72 128 0.02 0.20 Step 932 of 2112 0.72 128 0.02 0.19 Step 940 of 2112 0.73 128 0.02 0.19 Step 948 of 2112 0.73 128 0.02 0.20 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.02 0.20 Step 972 of 2112 0.73 128 0.03 0.20 Step 980 of 2112 0.73 160 0.03 0.32 Step 988 of 2112 0.73 160 0.03 0.33 Step 996 of 2112 0.74 160 0.03 0.32 Step 1004 of 2112 0.74 160 0.03 0.32 Step 1012 of 2112 0.74 160 0.03 0.32 Step 1020 of 2112 0.74 160 0.03 0.32 Step 1028 of 2112 0.74 160 0.03 0.32 Step 1036 of 2112 0.74 160 0.03 0.34 Step 1044 of 2112 0.74 160 0.02 0.31 Step 1052 of 2112 0.75 160 0.03 0.32 Step 1060 of 2112 0.75 160 0.03 0.32 Step 1068 of 2112 0.75 160 0.03 0.33 Step 1076 of 2112 0.75 160 0.03 0.32 Step 1084 of 2112 0.75 160 0.03 0.34 Step 1092 of 2112 0.75 160 0.03 0.32 Step 1100 of 2112 0.75 160 0.03 0.32 Step 1108 of 2112 0.75 160 0.03 0.32 Step 1116 of 2112 0.76 160 0.03 0.32 Step 1124 of 2112 0.76 160 0.03 0.32 Step 1132 of 2112 0.76 160 0.03 0.32 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.03 0.32 Step 1156 of 2112 0.76 160 0.03 0.33 Step 1164 of 2112 0.76 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.33 Step 1188 of 2112 0.77 160 0.03 0.32 Step 1196 of 2112 0.77 160 0.03 0.32 Step 1204 of 2112 0.77 160 0.03 0.33 Step 1212 of 2112 0.77 160 0.03 0.33 Step 1220 of 2112 0.77 160 0.02 0.33 Step 1228 of 2112 0.78 160 0.02 0.32 Step 1236 of 2112 0.78 160 0.02 0.34 Step 1244 of 2112 0.78 160 0.02 0.34 Step 1252 of 2112 0.78 160 0.02 0.34 Step 1260 of 2112 0.78 160 0.02 0.34 Step 1268 of 2112 0.78 160 0.02 0.33 Step 1276 of 2112 0.78 160 0.02 0.33 Step 1284 of 2112 0.78 160 0.02 0.34 Step 1292 of 2112 0.79 160 0.02 0.34 Step 1300 of 2112 0.79 160 0.02 0.33 Step 1308 of 2112 0.79 160 0.02 0.33 Step 1316 of 2112 0.79 160 0.02 0.32 Step 1324 of 2112 0.79 160 0.03 0.32 Step 1332 of 2112 0.79 160 0.03 0.32 Step 1340 of 2112 0.79 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.36 Step 1356 of 2112 0.80 160 0.03 0.35 Step 1364 of 2112 0.80 192 0.04 0.37 Step 1372 of 2112 0.80 192 0.04 0.37 Step 1380 of 2112 0.80 192 0.04 0.37 Step 1388 of 2112 0.80 192 0.04 0.37 Step 1396 of 2112 0.80 192 0.04 0.36 Step 1404 of 2112 0.81 192 0.04 0.36 Step 1412 of 2112 0.81 192 0.03 0.36 Step 1420 of 2112 0.81 192 0.03 0.36 Step 1428 of 2112 0.81 192 0.04 0.36 Step 1436 of 2112 0.81 192 0.04 0.37 Step 1444 of 2112 0.81 192 0.04 0.36 Step 1452 of 2112 0.81 192 0.04 0.37 Step 1460 of 2112 0.82 192 0.04 0.38 Step 1468 of 2112 0.82 192 0.04 0.39 Step 1476 of 2112 0.82 192 0.04 0.38 Step 1484 of 2112 0.82 192 0.03 0.37 Step 1492 of 2112 0.82 192 0.03 0.37 Step 1500 of 2112 0.82 192 0.04 0.37 Step 1508 of 2112 0.82 192 0.04 0.38 Step 1516 of 2112 0.83 192 0.04 0.36 Step 1524 of 2112 0.83 192 0.04 0.37 Step 1532 of 2112 0.83 192 0.03 0.37 Step 1540 of 2112 0.83 192 0.04 0.37 Step 1548 of 2112 0.83 192 0.04 0.36 Step 1556 of 2112 0.83 192 0.04 0.36 Step 1564 of 2112 0.83 192 0.03 0.36 Step 1572 of 2112 0.84 192 0.03 0.37 Step 1580 of 2112 0.84 192 0.02 0.36 Step 1588 of 2112 0.84 192 0.04 0.37 Step 1596 of 2112 0.84 192 0.04 0.36 Step 1604 of 2112 0.84 192 0.03 0.36 Step 1612 of 2112 0.84 192 0.03 0.36 Step 1620 of 2112 0.84 192 0.03 0.35 Step 1628 of 2112 0.84 192 0.04 0.36 Step 1636 of 2112 0.85 192 0.03 0.36 Step 1644 of 2112 0.85 192 0.03 0.36 Step 1652 of 2112 0.85 192 0.04 0.36 Step 1660 of 2112 0.85 192 0.03 0.35 Step 1668 of 2112 0.85 192 0.04 0.36 Step 1676 of 2112 0.85 192 0.03 0.36 Step 1684 of 2112 0.85 192 0.03 0.36 Step 1692 of 2112 0.86 224 0.05 0.47 Step 1700 of 2112 0.86 224 0.04 0.47 Step 1708 of 2112 0.86 224 0.04 0.46 Step 1716 of 2112 0.86 224 0.04 0.47 Step 1724 of 2112 0.86 224 0.04 0.46 Step 1732 of 2112 0.86 224 0.04 0.47 Step 1740 of 2112 0.86 224 0.04 0.48 Step 1748 of 2112 0.87 224 0.03 0.48 Step 1756 of 2112 0.87 224 0.03 0.47 Step 1764 of 2112 0.87 224 0.04 0.50 Step 1772 of 2112 0.87 224 0.02 0.47 Step 1780 of 2112 0.87 224 0.03 0.49 Step 1788 of 2112 0.87 224 0.03 0.45 Step 1796 of 2112 0.87 224 0.04 0.46 Step 1804 of 2112 0.88 224 0.04 0.46 Step 1812 of 2112 0.88 224 0.04 0.46 Step 1820 of 2112 0.88 224 0.04 0.46 Step 1828 of 2112 0.88 224 0.04 0.46 Step 1836 of 2112 0.88 224 0.04 0.46 Step 1844 of 2112 0.88 224 0.04 0.46 Step 1852 of 2112 0.88 224 0.04 0.48 Step 1860 of 2112 0.89 224 0.04 0.47 Step 1868 of 2112 0.89 224 0.04 0.47 Step 1876 of 2112 0.89 224 0.04 0.47 Step 1884 of 2112 0.89 224 0.05 0.46 Step 1892 of 2112 0.89 224 0.04 0.46 Step 1900 of 2112 0.89 224 0.04 0.49 Step 1908 of 2112 0.89 224 0.04 0.47 Step 1916 of 2112 0.90 224 0.04 0.46 Step 1924 of 2112 0.90 224 0.05 0.48 Step 1932 of 2112 0.90 224 0.05 0.47 Step 1940 of 2112 0.90 224 0.04 0.47 Step 1948 of 2112 0.90 224 0.04 0.48 Step 1956 of 2112 0.90 224 0.04 0.47 Step 1964 of 2112 0.90 256 0.05 0.49 Step 1972 of 2112 0.91 256 0.05 0.50 Step 1980 of 2112 0.91 256 0.03 0.47 Step 1988 of 2112 0.91 256 0.04 0.48 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.05 0.51 Step 2012 of 2112 0.91 256 0.05 0.49 Step 2020 of 2112 0.91 256 0.05 0.50 Step 2028 of 2112 0.92 256 0.05 0.50 Step 2036 of 2112 0.92 256 0.05 0.50 Step 2044 of 2112 0.92 256 0.05 0.50 Step 2052 of 2112 0.92 256 0.05 0.49 Step 2060 of 2112 0.92 256 0.05 0.51 Step 2068 of 2112 0.92 256 0.05 0.53 Step 2076 of 2112 0.92 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.05 0.49 Step 2092 of 2112 0.93 256 0.05 0.49 Step 2100 of 2112 0.93 256 0.05 0.50 Step 2108 of 2112 0.93 256 0.05 0.49 ROW NITER SIG(med) CHI^2 .0000 2 0.95 1.52 .0001 2 0.95 1.30 .0002 2 0.95 1.32 .0003 2 0.95 1.26 .0004 2 0.95 1.35 .0005 3 0.95 1.38 .0006 2 0.95 1.41 .0007 2 0.95 1.31 .0008 2 0.95 1.27 .0009 2 0.95 1.36 .0010 2 0.95 1.49 .0011 2 0.95 1.39 .0012 2 0.95 1.39 .0013 2 0.95 1.45 .0014 2 0.95 1.37 .0015 2 0.95 1.47 .0016 2 0.95 1.49 .0017 2 0.95 1.49 .0018 2 0.95 1.41 .0019 2 0.95 1.43 .0020 2 0.95 1.55 .0021 2 0.95 1.38 .0022 2 0.95 1.44 .0023 2 0.95 1.50 .0024 2 0.95 1.45 .0025 2 0.95 1.58 .0026 2 0.95 1.42 .0027 2 0.95 1.59 .0028 2 0.95 1.48 .0029 2 0.95 1.46 .0030 2 0.95 1.54 .0031 2 0.95 1.54 .0032 2 0.95 1.55 .0033 2 0.95 1.52 .0034 2 0.95 1.51 .0035 2 0.95 1.49 .0036 2 0.95 1.57 .0037 2 0.95 1.58 .0038 2 0.95 1.59 .0039 2 0.95 1.56 .0040 2 0.95 1.62 .0041 2 0.95 1.64 .0042 2 0.95 1.79 .0043 2 0.95 1.67 .0044 2 0.95 1.49 .0045 2 0.95 1.57 .0046 2 0.95 1.55 .0047 2 0.95 1.72 .0048 2 0.95 1.83 .0049 2 0.95 1.72 .0050 2 0.95 1.68 .0051 2 0.95 1.69 .0052 2 0.95 1.73 .0053 2 0.95 1.71 .0054 2 0.95 1.67 .0055 2 0.95 1.67 .0056 2 0.95 1.66 .0057 2 0.95 1.71 .0058 2 0.95 1.69 .0059 2 0.95 1.66 .0060 1 0.95 1.89 .0061 1 0.95 1.86 .0062 1 0.95 1.84 .0063 1 0.95 1.88 .0064 2 0.95 1.82 .0065 1 0.95 1.86 .0066 1 0.95 1.83 .0067 1 0.95 1.86 .0068 1 0.95 1.74 .0069 1 0.95 1.73 .0070 3 0.94 1.79 .0071 1 0.94 1.84 .0072 1 0.94 1.66 .0073 1 0.94 1.74 .0074 1 0.94 1.77 .0075 1 0.94 1.86 .0076 1 0.94 1.57 .0077 1 0.94 1.74 .0078 1 0.94 1.78 .0079 1 0.94 1.75 .0080 1 0.94 1.81 .0081 1 0.94 1.68 .0082 1 0.94 1.79 .0083 1 0.94 1.72 .0084 1 0.94 1.78 .0085 1 0.94 1.71 .0086 1 0.94 1.80 .0087 1 0.94 1.76 .0088 2 0.94 1.71 .0089 1 0.94 1.69 .0090 1 0.94 1.72 .0091 2 0.94 1.79 .0092 1 0.94 1.74 .0093 1 0.94 1.66 .0094 1 0.94 1.68 .0095 1 0.94 1.64 .0096 1 0.94 1.80 .0097 1 0.94 1.70 .0098 1 0.94 1.74 .0099 1 0.94 1.62 .0100 1 0.94 1.92 .0101 1 0.94 1.54 .0102 1 0.94 1.60 .0103 1 0.94 1.66 .0104 1 0.94 1.71 .0105 2 0.94 1.72 .0106 1 0.94 1.66 .0107 1 0.94 1.60 .0108 1 0.94 1.74 .0109 1 0.94 1.69 .0110 1 0.94 1.78 .0111 1 0.94 1.66 .0112 2 0.94 1.88 .0113 1 0.94 1.91 .0114 1 0.94 1.62 .0115 1 0.94 1.54 .0116 1 0.94 1.63 .0117 1 0.94 1.60 .0118 1 0.94 1.71 .0119 1 0.94 1.69 .0120 1 0.94 1.60 .0121 1 0.94 1.54 .0122 1 0.94 1.63 .0123 1 0.94 1.58 .0124 1 0.94 1.58 .0125 1 0.94 1.56 .0126 1 0.94 1.63 .0127 1 0.94 1.61 .0128 2 0.94 1.59 .0129 2 0.94 1.76 .0130 1 0.94 1.73 .0131 1 0.94 1.51 .0132 1 0.94 1.55 .0133 1 0.94 1.59 .0134 1 0.94 1.65 .0135 1 0.94 1.65 .0136 1 0.94 1.59 .0137 1 0.94 1.57 .0138 1 0.94 1.55 .0139 1 0.94 1.62 .0140 1 0.94 1.63 .0141 1 0.94 1.74 .0142 1 0.94 1.63 .0143 1 0.94 1.58 .0144 1 0.94 1.69 .0145 1 0.94 1.70 .0146 1 0.94 1.59 .0147 1 0.94 1.54 .0148 1 0.94 1.62 .0149 1 0.94 1.65 .0150 1 0.94 1.56 .0151 1 0.94 1.57 .0152 1 0.94 1.68 .0153 1 0.94 1.66 .0154 1 0.93 1.63 .0155 1 0.93 1.76 .0156 2 0.93 1.69 .0157 1 0.93 1.59 .0158 1 0.93 1.58 .0159 1 0.93 1.64 .0160 1 0.93 1.56 .0161 1 0.93 1.69 .0162 1 0.93 1.61 .0163 1 0.93 1.54 .0164 1 0.93 1.70 .0165 1 0.93 1.70 .0166 1 0.93 1.64 .0167 1 0.93 1.57 .0168 1 0.93 1.56 .0169 1 0.93 1.70 .0170 1 0.93 1.71 .0171 1 0.93 1.62 .0172 1 0.93 1.63 .0173 1 0.93 1.53 .0174 1 0.93 1.65 .0175 1 0.93 1.67 .0176 1 0.93 1.65 .0177 1 0.93 1.72 .0178 1 0.93 1.71 .0179 1 0.93 1.69 .0180 1 0.93 1.65 .0181 1 0.93 1.66 .0182 1 0.93 1.84 .0183 1 0.93 1.67 .0184 1 0.93 1.83 .0185 1 0.93 1.72 .0186 1 0.93 1.67 .0187 1 0.93 1.81 .0188 1 0.93 1.79 .0189 1 0.93 1.72 .0190 1 0.93 1.67 .0191 1 0.93 1.80 .0192 3 0.93 1.95 .0193 2 0.93 1.93 .0194 1 0.93 1.83 .0195 1 0.93 1.84 .0196 1 0.93 1.76 .0197 1 0.93 1.76 .0198 1 0.93 1.75 .0199 1 0.93 1.87 .0200 1 0.93 1.89 .0201 1 0.93 1.87 .0202 1 0.93 1.98 .0203 1 0.93 1.91 .0204 1 0.93 1.94 .0205 1 0.93 1.92 .0206 1 0.93 1.86 .0207 1 0.93 1.95 .0208 1 0.93 2.03 .0209 1 0.93 1.85 .0210 1 0.93 2.20 .0211 1 0.93 1.99 .0212 1 0.93 2.12 .0213 1 0.93 1.96 .0214 1 0.93 2.16 .0215 1 0.93 2.15 .0216 1 0.93 2.05 .0217 1 0.93 2.26 .0218 1 0.93 2.07 .0219 1 0.93 2.16 .0220 1 0.93 2.03 .0221 1 0.93 2.15 .0222 1 0.93 2.54 .0223 1 0.93 2.27 .0224 1 0.93 2.25 .0225 1 0.93 2.26 .0226 1 0.93 2.19 .0227 1 0.93 2.15 .0228 1 0.93 2.09 .0229 1 0.93 2.25 .0230 1 0.93 2.19 .0231 1 0.93 2.01 .0232 1 0.93 1.98 .0233 1 0.93 2.08 .0234 1 0.93 2.05 .0235 1 0.93 2.05 .0236 1 0.93 2.18 .0237 1 0.93 1.99 .0238 1 0.93 1.97 .0239 1 0.93 1.99 .0240 1 0.93 1.88 .0241 1 0.93 1.97 .0242 1 0.93 1.99 .0243 1 0.93 1.88 .0244 1 0.93 2.00 .0245 1 0.93 1.95 .0246 1 0.93 1.91 .0247 1 0.93 2.04 .0248 1 0.93 2.01 .0249 1 0.93 1.88 .0250 1 0.93 1.88 .0251 1 0.93 1.96 .0252 1 0.93 1.95 .0253 1 0.93 1.89 .0254 1 0.93 1.92 .0255 1 0.93 1.93 .0256 1 0.93 1.80 .0257 1 0.93 1.79 .0258 1 0.93 1.78 .0259 1 0.93 1.97 .0260 1 0.93 2.01 .0261 4 0.93 1.84 .0262 3 0.93 1.93 .0263 1 0.93 1.90 .0264 1 0.93 1.81 .0265 1 0.93 1.76 .0266 1 0.93 1.89 .0267 1 0.93 1.89 .0268 1 0.93 1.79 .0269 1 0.93 1.81 .0270 1 0.93 1.82 .0271 1 0.93 1.85 .0272 1 0.93 1.78 .0273 1 0.93 1.80 .0274 1 0.93 1.88 .0275 2 0.93 1.98 .0276 1 0.93 1.74 .0277 1 0.93 1.76 .0278 1 0.93 1.80 .0279 1 0.93 1.77 .0280 2 0.93 1.78 .0281 1 0.93 1.74 .0282 1 0.93 1.77 .0283 1 0.93 1.86 .0284 1 0.93 1.81 .0285 1 0.93 1.78 .0286 1 0.93 1.81 .0287 1 0.93 1.83 .0288 1 0.93 1.71 .0289 1 0.93 1.81 .0290 1 0.93 1.88 .0291 1 0.93 1.69 .0292 1 0.93 1.84 .0293 1 0.92 1.67 .0294 2 0.92 1.77 .0295 1 0.92 1.82 .0296 1 0.92 1.74 .0297 1 0.92 1.80 .0298 1 0.92 1.68 .0299 1 0.92 1.73 .0300 3 0.92 1.68 .0301 2 0.92 1.98 .0302 1 0.92 1.68 .0303 1 0.92 1.78 .0304 1 0.92 1.80 .0305 1 0.92 1.98 .0306 1 0.92 1.76 .0307 1 0.92 1.86 .0308 1 0.92 1.76 .0309 1 0.92 1.78 .0310 1 0.92 1.75 .0311 1 0.92 1.81 .0312 1 0.92 1.86 .0313 1 0.92 1.89 .0314 1 0.92 2.12 .0315 1 0.92 1.90 .0316 1 0.92 1.87 .0317 1 0.92 1.90 .0318 1 0.92 1.92 .0319 1 0.92 1.82 .0320 1 0.92 1.83 .0321 1 0.92 1.74 .0322 1 0.92 2.00 .0323 3 0.92 1.96 .0324 1 0.92 1.85 .0325 1 0.92 1.84 .0326 1 0.92 1.81 .0327 1 0.92 1.92 .0328 1 0.92 1.91 .0329 1 0.92 1.74 .0330 1 0.92 1.88 .0331 1 0.92 1.93 .0332 1 0.92 1.84 .0333 1 0.92 1.87 .0334 1 0.92 1.89 .0335 1 0.92 1.86 .0336 1 0.92 1.91 .0337 1 0.92 1.99 .0338 1 0.92 1.92 .0339 1 0.92 1.95 .0340 2 0.92 1.94 .0341 1 0.92 1.77 .0342 1 0.92 1.85 .0343 1 0.92 1.89 .0344 1 0.92 2.27 .0345 1 0.92 1.92 .0346 1 0.92 1.87 .0347 1 0.92 1.79 .0348 1 0.92 1.88 .0349 1 0.92 1.82 .0350 1 0.92 1.98 .0351 1 0.92 1.77 .0352 1 0.92 1.99 .0353 1 0.92 1.90 .0354 1 0.92 1.94 .0355 1 0.92 1.88 .0356 1 0.92 1.85 .0357 1 0.92 1.86 .0358 1 0.92 1.94 .0359 1 0.92 1.85 .0360 1 0.92 1.80 .0361 1 0.92 1.76 .0362 1 0.92 1.74 .0363 1 0.92 1.78 .0364 2 0.92 1.88 .0365 1 0.92 1.81 .0366 1 0.92 1.78 .0367 1 0.92 1.77 .0368 1 0.92 1.80 .0369 1 0.92 1.79 .0370 2 0.92 1.88 .0371 2 0.92 1.80 .0372 2 0.92 1.68 .0373 2 0.92 1.93 .0374 3 0.92 1.74 .0375 3 0.92 1.77 .0376 2 0.92 1.80 .0377 2 0.92 1.72 .0378 2 0.92 1.78 .0379 2 0.92 1.77 .0380 2 0.92 1.71 .0381 2 0.92 1.80 .0382 2 0.92 1.66 .0383 2 0.92 1.72 .0384 2 0.92 1.69 .0385 2 0.92 1.85 .0386 2 0.92 1.78 .0387 2 0.92 1.73 .0388 2 0.92 1.75 .0389 2 0.92 1.75 .0390 2 0.92 1.74 .0391 2 0.92 1.77 .0392 2 0.92 1.59 .0393 3 0.92 1.69 .0394 2 0.92 1.80 .0395 2 0.92 1.77 .0396 2 0.92 1.65 .0397 2 0.92 1.81 .0398 2 0.92 1.72 .0399 2 0.92 1.69 .0400 2 0.92 1.72 .0401 2 0.92 1.68 .0402 1 0.92 2.14 .0403 2 0.92 1.77 .0404 2 0.92 1.71 .0405 1 0.92 1.92 .0406 2 0.92 1.67 .0407 2 0.92 1.65 .0408 2 0.92 1.70 .0409 2 0.92 1.71 .0410 1 0.92 1.84 .0411 1 0.92 1.89 .0412 1 0.92 1.88 .0413 1 0.92 1.93 .0414 1 0.92 1.70 .0415 1 0.92 1.73 .0416 1 0.92 1.77 .0417 1 0.92 1.83 .0418 1 0.92 1.81 .0419 1 0.92 1.71 .0420 1 0.92 1.99 .0421 1 0.92 1.77 .0422 1 0.92 1.77 .0423 1 0.92 1.70 .0424 1 0.92 1.66 .0425 1 0.92 1.64 .0426 1 0.92 1.68 .0427 1 0.92 1.92 .0428 1 0.92 1.71 .0429 1 0.92 1.70 .0430 1 0.92 1.77 .0431 1 0.92 1.77 .0432 1 0.92 1.72 .0433 1 0.92 1.81 .0434 1 0.92 1.69 .0435 1 0.92 1.77 .0436 1 0.92 1.75 .0437 1 0.92 1.66 .0438 1 0.92 1.77 .0439 1 0.92 1.78 .0440 1 0.92 1.68 .0441 1 0.92 1.77 .0442 1 0.92 1.76 .0443 1 0.92 1.71 .0444 1 0.92 1.76 .0445 1 0.92 1.70 .0446 1 0.92 1.65 .0447 1 0.92 1.72 .0448 1 0.92 1.80 .0449 1 0.92 1.72 .0450 1 0.92 1.74 .0451 1 0.92 1.66 .0452 1 0.92 1.66 .0453 1 0.92 1.76 .0454 1 0.92 1.78 .0455 1 0.92 1.74 .0456 1 0.92 1.61 .0457 1 0.92 1.63 .0458 1 0.92 1.63 .0459 1 0.92 1.61 .0460 1 0.92 1.68 .0461 1 0.92 1.75 .0462 1 0.92 1.76 .0463 1 0.92 1.61 .0464 2 0.92 1.63 .0465 1 0.92 1.84 .0466 2 0.92 1.66 .0467 1 0.92 1.71 .0468 1 0.92 1.60 .0469 1 0.92 1.72 .0470 1 0.92 1.66 .0471 1 0.92 1.69 .0472 1 0.92 1.64 .0473 1 0.92 1.67 .0474 1 0.92 1.64 .0475 1 0.92 1.68 .0476 1 0.92 1.57 .0477 1 0.92 1.64 .0478 1 0.92 1.63 .0479 1 0.92 1.77 .0480 1 0.92 1.66 .0481 1 0.92 1.60 .0482 1 0.92 1.62 .0483 1 0.92 1.65 .0484 1 0.92 1.66 .0485 1 0.92 1.63 .0486 1 0.92 1.74 .0487 1 0.92 1.79 .0488 1 0.92 1.59 .0489 2 0.91 1.68 .0490 1 0.91 1.65 .0491 1 0.91 1.67 .0492 1 0.91 1.58 .0493 1 0.91 1.61 .0494 1 0.91 1.63 .0495 1 0.91 1.63 .0496 1 0.91 1.63 .0497 1 0.91 1.65 .0498 1 0.91 1.55 .0499 1 0.91 1.65 .0500 1 0.91 1.60 .0501 1 0.91 1.51 .0502 1 0.91 1.72 .0503 1 0.91 1.53 .0504 1 0.91 1.58 .0505 1 0.91 1.67 .0506 1 0.91 1.75 .0507 1 0.91 1.55 .0508 1 0.91 1.62 .0509 1 0.91 1.62 .0510 1 0.91 1.69 .0511 1 0.91 1.69 .0512 1 0.91 1.59 .0513 1 0.91 1.61 .0514 1 0.91 1.60 .0515 1 0.91 1.67 .0516 1 0.91 1.53 .0517 1 0.91 1.73 .0518 1 0.91 1.74 .0519 1 0.91 1.57 .0520 1 0.91 1.75 .0521 1 0.91 1.66 .0522 1 0.91 1.69 .0523 1 0.91 1.63 .0524 1 0.91 1.70 .0525 1 0.91 1.69 .0526 2 0.91 1.83 .0527 1 0.91 1.75 .0528 1 0.91 1.76 .0529 1 0.91 1.77 .0530 1 0.91 1.65 .0531 1 0.91 1.81 .0532 1 0.91 1.70 .0533 1 0.91 1.74 .0534 1 0.91 1.62 .0535 1 0.91 1.76 .0536 1 0.91 1.72 .0537 1 0.91 1.85 .0538 1 0.91 1.95 .0539 1 0.91 1.87 .0540 1 0.91 1.86 .0541 1 0.91 1.81 .0542 1 0.91 1.77 .0543 1 0.91 1.80 .0544 1 0.91 1.76 .0545 1 0.91 1.87 .0546 1 0.91 1.78 .0547 1 0.91 1.97 .0548 1 0.91 1.80 .0549 1 0.91 1.97 .0550 1 0.91 1.99 .0551 1 0.91 1.86 .0552 1 0.91 1.88 .0553 1 0.91 1.93 .0554 2 0.91 1.80 .0555 1 0.91 1.88 .0556 2 0.91 1.62 .0557 2 0.91 1.72 .0558 2 0.91 1.66 .0559 2 0.91 1.80 .0560 2 0.91 1.67 .0561 2 0.91 1.81 .0562 2 0.91 1.85 .0563 2 0.91 1.83 .0564 2 0.91 1.85 .0565 2 0.91 1.74 .0566 2 0.91 1.95 .0567 2 0.91 1.91 .0568 2 0.91 1.88 .0569 2 0.91 1.92 .0570 2 0.91 1.94 .0571 2 0.91 1.79 .0572 2 0.91 1.95 .0573 2 0.91 1.82 .0574 2 0.91 1.83 .0575 2 0.91 1.94 .0576 2 0.91 1.76 .0577 2 0.91 1.91 .0578 2 0.91 1.85 .0579 2 0.91 1.84 .0580 2 0.91 1.79 .0581 2 0.91 1.81 .0582 2 0.91 1.76 .0583 2 0.91 1.80 .0584 2 0.91 1.94 .0585 2 0.91 1.94 .0586 2 0.91 1.92 .0587 2 0.91 1.93 .0588 2 0.91 1.96 .0589 1 0.91 2.06 .0590 1 0.91 2.00 .0591 1 0.91 2.18 .0592 1 0.91 1.98 .0593 1 0.91 1.88 .0594 1 0.91 2.09 .0595 2 0.91 2.10 .0596 1 0.91 2.12 .0597 1 0.91 2.13 .0598 1 0.91 2.23 .0599 1 0.91 2.05 .0600 1 0.91 2.05 .0601 1 0.91 2.07 .0602 1 0.91 2.06 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.1935 1 0.92 3.09 .1936 1 0.92 3.03 .1937 1 0.92 3.15 .1938 1 0.92 2.96 .1939 1 0.92 3.16 .1940 1 0.92 3.06 .1941 1 0.92 3.11 .1942 1 0.92 3.04 .1943 1 0.92 3.06 .1944 1 0.92 2.97 .1945 2 0.92 2.95 .1946 1 0.92 2.93 .1947 1 0.92 3.16 .1948 1 0.92 3.00 .1949 1 0.92 2.97 .1950 1 0.92 2.90 .1951 1 0.92 3.02 .1952 1 0.92 2.88 .1953 1 0.92 3.30 .1954 1 0.92 3.03 .1955 1 0.92 3.01 .1956 1 0.92 2.76 .1957 1 0.92 3.05 .1958 1 0.92 2.91 .1959 1 0.92 2.92 .1960 1 0.92 3.01 .1961 1 0.92 2.96 .1962 1 0.92 3.11 .1963 1 0.92 2.89 .1964 1 0.92 2.93 .1965 1 0.92 2.82 .1966 1 0.92 2.86 .1967 1 0.92 2.93 .1968 1 0.92 2.84 .1969 1 0.92 3.10 .1970 1 0.92 3.02 .1971 1 0.92 2.87 .1972 1 0.92 2.86 .1973 1 0.92 2.97 .1974 1 0.92 2.80 .1975 1 0.92 2.85 .1976 1 0.92 2.83 .1977 1 0.92 2.85 .1978 1 0.92 3.08 .1979 1 0.92 2.81 .1980 1 0.92 2.80 .1981 1 0.92 2.88 .1982 1 0.92 2.88 .1983 1 0.92 2.94 .1984 1 0.92 2.99 .1985 1 0.92 3.03 .1986 2 0.92 3.03 .1987 1 0.92 3.01 .1988 1 0.92 2.92 .1989 1 0.92 3.02 .1990 1 0.92 2.97 .1991 1 0.92 2.87 .1992 1 0.92 3.04 .1993 1 0.92 2.89 .1994 1 0.92 3.11 .1995 1 0.92 3.05 .1996 1 0.92 2.88 .1997 1 0.92 2.98 .1998 1 0.92 2.99 .1999 1 0.92 2.90 .2000 1 0.92 3.08 .2001 1 0.92 2.95 .2002 1 0.92 3.12 .2003 1 0.92 2.82 .2004 3 0.92 2.93 .2005 1 0.92 3.02 .2006 2 0.92 3.10 .2007 1 0.92 2.84 .2008 1 0.92 2.96 .2009 1 0.92 2.95 .2010 1 0.92 3.22 .2011 1 0.92 2.93 .2012 1 0.92 3.10 .2013 1 0.92 3.10 .2014 1 0.92 2.98 .2015 1 0.92 2.94 .2016 1 0.92 2.94 .2017 1 0.92 3.01 .2018 1 0.92 2.95 .2019 1 0.92 2.92 .2020 1 0.92 3.06 .2021 1 0.92 2.92 .2022 1 0.92 2.92 .2023 1 0.92 2.97 .2024 1 0.92 2.84 .2025 1 0.92 3.07 .2026 1 0.92 3.04 .2027 1 0.92 3.04 .2028 1 0.92 3.00 .2029 1 0.92 3.11 .2030 1 0.92 2.82 .2031 1 0.92 3.01 .2032 1 0.92 3.12 .2033 1 0.92 2.88 .2034 1 0.92 3.01 .2035 1 0.92 3.08 .2036 1 0.92 3.11 .2037 1 0.92 2.93 .2038 1 0.92 3.66 .2039 1 0.92 2.88 .2040 1 0.92 3.33 .2041 1 0.92 2.90 .2042 1 0.92 3.04 .2043 1 0.92 2.82 .2044 1 0.92 3.00 .2045 1 0.92 2.92 .2046 1 0.92 3.11 .2047 1 0.92 2.89 EXTRACT_IMAGE: r1: masked 328 pixels SPCALIB: r1: First extraction chi^2 1.29206 6.55528 SPCALIB: r1: Second extraction chi^2 1.25726 4.34576 SUPERFLAT: r1: Creating superflat from 304 fibers highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r1: Number of fiberflat points LE 0 = 10818 SPCALIB: r1: Elapsed time = 469. seconds SPREDUCE: r1: Best flat = sdR-r1-00034756.fit SPREDUCE: r1: Best arc = sdR-r1-00034757.fit QAPLOT_ARCLINE: r1: Number of arc lines: 35 QAPLOT_ARCLINE: r1: Number of arc lines above 8000 Ang: 10 QAPLOT_ARCLINE: r1: Arcline 0: lambda= 5852.49 Ang, median dev= -0.010 pix, sigma dev= 0.019 pix QAPLOT_ARCLINE: r1: Arcline 1: lambda= 5881.90 Ang, median dev= -0.000 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r1: Arcline 2: lambda= 5944.83 Ang, median dev= 0.013 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r1: Arcline 3: lambda= 6030.00 Ang, median dev= 0.010 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: r1: Arcline 4: lambda= 6074.34 Ang, median dev= -0.001 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 5: lambda= 6096.16 Ang, median dev= -0.009 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r1: Arcline 6: lambda= 6143.06 Ang, median dev= -0.007 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r1: Arcline 7: lambda= 6163.59 Ang, median dev= 0.004 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r1: Arcline 8: lambda= 6217.28 Ang, median dev= 0.001 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 9: lambda= 6266.49 Ang, median dev= 0.005 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 10: lambda= 6304.79 Ang, median dev= 0.007 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 11: lambda= 6334.43 Ang, median dev= -0.001 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r1: Arcline 12: lambda= 6382.99 Ang, median dev= 0.003 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 13: lambda= 6402.25 Ang, median dev= -0.005 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 14: lambda= 6506.53 Ang, median dev= -0.003 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 15: lambda= 6532.88 Ang, median dev= 0.002 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r1: Arcline 16: lambda= 6598.95 Ang, median dev= 0.004 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r1: Arcline 17: lambda= 6717.04 Ang, median dev= -0.004 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r1: Arcline 18: lambda= 6929.47 Ang, median dev= -0.003 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 19: lambda= 7173.94 Ang, median dev= 0.003 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r1: Arcline 20: lambda= 7245.17 Ang, median dev= -0.009 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 21: lambda= 7438.90 Ang, median dev= 0.000 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r1: Arcline 22: lambda= 7488.87 Ang, median dev= 0.007 pix, sigma dev= 0.016 pix QAPLOT_ARCLINE: r1: Arcline 23: lambda= 7535.77 Ang, median dev= 0.011 pix, sigma dev= 0.020 pix QAPLOT_ARCLINE: r1: Arcline 24: lambda= 7635.11 Ang, median dev= 0.017 pix, sigma dev= 0.028 pix QAPLOT_ARCLINE: r1: Arcline 25: lambda= 8014.79 Ang, median dev= 0.017 pix, sigma dev= 0.076 pix QAPLOT_ARCLINE: r1: Arcline 26: lambda= 8103.69 Ang, median dev= 0.017 pix, sigma dev= 0.053 pix QAPLOT_ARCLINE: r1: Arcline 27: lambda= 8300.33 Ang, median dev= 0.030 pix, sigma dev= 0.023 pix QAPLOT_ARCLINE: r1: Arcline 28: lambda= 8377.61 Ang, median dev= -0.034 pix, sigma dev= 0.013 pix QAPLOT_ARCLINE: r1: Arcline 29: lambda= 8495.36 Ang, median dev= -0.008 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r1: Arcline 30: lambda= 8591.26 Ang, median dev= -0.008 pix, sigma dev= 0.025 pix QAPLOT_ARCLINE: r1: Arcline 31: lambda= 8634.65 Ang, median dev= 0.004 pix, sigma dev= 0.028 pix QAPLOT_ARCLINE: r1: Arcline 32: lambda= 8654.38 Ang, median dev= 0.032 pix, sigma dev= 0.020 pix QAPLOT_ARCLINE: r1: Arcline 33: lambda= 8853.87 Ang, median dev= 0.000 pix, sigma dev= 0.043 pix QAPLOT_ARCLINE: r1: Arcline 34: lambda= 9122.97 Ang, median dev= -0.018 pix, sigma dev= 0.098 pix SPREDUCE: sdR-r1-00034752.fit: Reading object sdR-r1-00034752.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034752.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034752.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034752.fit: Measured read-noise in DN for amp# 2 = 3.88318 SDSSPROC: sdR-r1-00034752.fit: Measured bias value in DN for amp# 2 = 1182.34 SDSSPROC: sdR-r1-00034752.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034752.fit: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: sdR-r1-00034752.fit: Measured read-noise in DN for amp# 3 = 3.60001 SDSSPROC: sdR-r1-00034752.fit: Measured bias value in DN for amp# 3 = 1232.58 SDSSPROC: sdR-r1-00034752.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034752.fit: Amp #3 Number of pix below bias-5*sigma= 1212. DN is 0 SDSSPROC: sdR-r1-00034752.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034752.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034752.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034752.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034752.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034752.fit: Science 25-th-percentile = 173.864 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034752.fit: Whopping fibers: 264 EXTRACT_OBJECT: sdR-r1-00034752.fit: Median counts in all fibers = 3730.17 EXTRACT_OBJECT: sdR-r1-00034752.fit: Number of bright fibers = 1 EXTRACT_OBJECT: sdR-r1-00034752.fit: Sky fiber median 697.975 EXTRACT_OBJECT: sdR-r1-00034752.fit: 5% and 95% count levels 498.888 9375.85 MATCH_TRACE: sdR-r1-00034752.fit: Iteration: 0 Pixels Rejected: 6534 Finished? 0 MATCH_TRACE: sdR-r1-00034752.fit: Iteration: 1 Pixels Rejected: 212 Finished? 0 MATCH_TRACE: sdR-r1-00034752.fit: Iteration: 2 Pixels Rejected: 15 Finished? 0 MATCH_TRACE: sdR-r1-00034752.fit: Iteration: 3 Pixels Rejected: 3 Finished? 0 MATCH_TRACE: sdR-r1-00034752.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r1-00034752.fit: Shifting traces by match_trace 0.0852051 EXTRACT_OBJECT: sdR-r1-00034752.fit: Extracting frame sdR-r1-00034752.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034752.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.95 1.49 .0001 2 0.95 1.43 .0002 2 0.95 1.49 .0003 1 0.95 1.45 .0004 1 0.95 1.44 .0005 1 0.95 1.42 .0006 2 0.95 1.43 .0007 1 0.95 1.49 .0008 1 0.95 1.48 .0009 1 0.95 1.63 .0010 3 0.95 1.58 .0011 3 0.95 1.56 .0012 3 0.95 1.49 .0013 4 0.95 1.58 .0014 3 0.95 1.47 .0015 2 0.95 1.56 .0016 6 0.95 1.63 .0017 3 0.95 1.65 .0018 2 0.95 1.67 .0019 4 0.95 1.58 .0020 2 0.95 1.63 .0021 3 0.95 1.53 .0022 1 0.95 1.80 .0023 3 0.95 1.70 .0024 1 0.95 1.76 .0025 2 0.95 1.65 .0026 3 0.95 1.77 .0027 2 0.95 1.82 .0028 1 0.95 1.82 .0029 1 0.95 1.86 .0030 1 0.95 2.02 .0031 2 0.95 2.08 .0032 4 0.95 2.05 .0033 3 0.95 2.04 .0034 1 0.95 1.92 .0035 1 0.95 2.00 .0036 1 0.95 2.01 .0037 1 0.95 1.87 .0038 1 0.95 1.95 .0039 3 0.95 1.95 .0040 2 0.95 2.21 .0041 3 0.95 2.13 .0042 1 0.95 2.07 .0043 1 0.95 2.13 .0044 1 0.95 1.98 .0045 1 0.95 2.03 .0046 1 0.95 2.12 .0047 2 0.95 2.11 .0048 3 0.95 2.05 .0049 1 0.95 2.30 .0050 1 0.95 2.19 .0051 1 0.95 2.05 .0052 2 0.95 2.24 .0053 2 0.95 2.11 .0054 2 0.95 2.18 .0055 3 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0.93 3.04 .1610 1 0.93 3.07 .1611 3 0.93 3.17 .1612 4 0.93 3.14 .1613 3 0.93 2.98 .1614 2 0.93 3.24 .1615 1 0.93 3.17 .1616 2 0.93 3.29 .1617 1 0.93 2.91 .1618 2 0.93 3.19 .1619 2 0.93 2.95 .1620 1 0.93 3.16 .1621 1 0.93 3.12 .1622 2 0.93 3.18 .1623 1 0.93 3.13 .1624 3 0.93 3.14 .1625 3 0.93 3.22 .1626 1 0.93 3.15 .1627 1 0.93 2.93 .1628 1 0.93 3.05 .1629 2 0.93 3.16 .1630 1 0.93 3.18 .1631 1 0.93 3.01 .1632 1 0.93 2.88 .1633 1 0.93 3.07 .1634 1 0.93 3.01 .1635 2 0.93 3.18 .1636 1 0.93 2.92 .1637 1 0.93 3.08 .1638 1 0.93 3.07 .1639 2 0.93 3.10 .1640 3 0.93 2.92 .1641 2 0.93 3.32 .1642 4 0.93 3.03 .1643 1 0.93 3.23 .1644 2 0.93 2.99 .1645 2 0.93 3.08 .1646 1 0.93 3.01 .1647 1 0.93 3.03 .1648 1 0.93 2.95 .1649 4 0.93 2.97 .1650 1 0.93 3.01 .1651 1 0.93 2.98 .1652 1 0.93 2.93 .1653 1 0.93 3.07 .1654 2 0.93 3.15 .1655 2 0.93 3.22 .1656 1 0.93 2.91 .1657 1 0.93 2.94 .1658 1 0.93 3.01 .1659 1 0.93 2.93 .1660 1 0.93 2.92 .1661 1 0.93 3.17 .1662 1 0.93 2.97 .1663 1 0.93 3.11 .1664 3 0.93 3.18 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0.93 2.68 .1721 1 0.93 2.80 .1722 1 0.92 2.80 .1723 1 0.92 3.02 .1724 1 0.92 2.92 .1725 2 0.92 3.03 .1726 3 0.92 3.01 .1727 3 0.92 2.90 .1728 2 0.92 3.00 .1729 1 0.92 2.86 .1730 3 0.92 2.92 .1731 2 0.92 2.81 .1732 1 0.92 2.74 .1733 1 0.92 2.82 .1734 1 0.92 2.75 .1735 1 0.92 2.86 .1736 4 0.92 3.11 .1737 3 0.92 2.76 .1738 1 0.92 2.93 .1739 3 0.92 2.90 .1740 3 0.92 2.78 .1741 2 0.92 2.97 .1742 1 0.92 2.89 .1743 1 0.92 2.61 .1744 3 0.92 2.67 .1745 1 0.92 2.83 .1746 2 0.92 2.89 .1747 2 0.92 2.87 .1748 1 0.92 2.57 .1749 1 0.92 2.66 .1750 1 0.92 2.75 .1751 1 0.92 2.50 .1752 1 0.92 2.55 .1753 1 0.92 2.65 .1754 1 0.92 2.74 .1755 1 0.92 2.82 .1756 2 0.92 2.96 .1757 3 0.92 2.89 .1758 1 0.92 2.66 .1759 1 0.92 2.88 .1760 1 0.92 2.73 .1761 2 0.92 3.06 .1762 2 0.92 2.85 .1763 4 0.92 2.98 .1764 2 0.92 2.86 .1765 2 0.92 2.93 .1766 1 0.92 2.73 .1767 2 0.92 2.75 .1768 1 0.92 2.77 .1769 2 0.92 2.94 .1770 3 0.92 2.85 .1771 3 0.92 2.81 .1772 2 0.92 2.87 .1773 3 0.92 2.78 .1774 3 0.92 3.19 .1775 3 0.92 2.67 .1776 2 0.92 2.94 .1777 1 0.92 2.65 .1778 1 0.92 2.99 .1779 2 0.92 2.68 .1780 2 0.92 2.65 .1781 2 0.92 2.92 .1782 1 0.92 2.67 .1783 3 0.92 2.61 .1784 2 0.92 2.74 .1785 3 0.92 3.12 .1786 3 0.92 3.03 .1787 2 0.92 2.75 .1788 3 0.92 2.70 .1789 1 0.92 2.60 .1790 1 0.92 2.52 .1791 2 0.92 2.70 .1792 1 0.92 2.76 .1793 1 0.92 2.79 .1794 1 0.92 2.65 .1795 1 0.92 2.53 .1796 1 0.92 2.44 .1797 3 0.92 2.58 .1798 2 0.92 2.79 .1799 1 0.92 2.55 .1800 1 0.92 2.63 .1801 2 0.92 2.64 .1802 1 0.92 2.45 .1803 1 0.92 2.94 .1804 1 0.92 2.70 .1805 3 0.92 2.57 .1806 1 0.92 2.81 .1807 1 0.92 2.80 .1808 1 0.92 2.63 .1809 1 0.92 2.77 .1810 1 0.92 2.57 .1811 1 0.92 2.65 .1812 1 0.92 2.72 .1813 2 0.92 2.68 .1814 1 0.92 2.81 .1815 1 0.92 2.64 .1816 1 0.92 2.87 .1817 1 0.92 2.71 .1818 3 0.92 2.77 .1819 1 0.92 2.74 .1820 1 0.92 2.85 .1821 1 0.92 2.81 .1822 1 0.92 2.73 .1823 1 0.92 2.79 .1824 1 0.92 2.97 .1825 1 0.92 2.93 .1826 1 0.92 2.89 .1827 2 0.92 2.92 .1828 2 0.92 2.69 .1829 1 0.92 2.74 .1830 2 0.92 2.68 .1831 1 0.92 2.69 .1832 1 0.92 2.80 .1833 1 0.92 2.58 .1834 1 0.92 2.77 .1835 1 0.92 2.74 .1836 1 0.92 2.98 .1837 2 0.92 2.71 .1838 2 0.92 2.75 .1839 2 0.92 2.70 .1840 3 0.92 2.99 .1841 1 0.92 2.86 .1842 3 0.92 2.88 .1843 5 0.92 2.63 .1844 4 0.92 3.02 .1845 3 0.92 2.79 .1846 2 0.92 2.69 .1847 1 0.92 2.68 .1848 1 0.92 2.68 .1849 1 0.92 2.75 .1850 1 0.92 2.67 .1851 1 0.92 2.90 .1852 3 0.92 2.61 .1853 3 0.92 2.75 .1854 3 0.92 2.74 .1855 1 0.92 2.56 .1856 1 0.92 2.64 .1857 1 0.92 2.64 .1858 1 0.92 2.65 .1859 1 0.92 2.64 .1860 2 0.92 2.72 .1861 1 0.92 2.78 .1862 2 0.92 2.50 .1863 1 0.92 2.62 .1864 2 0.92 2.77 .1865 1 0.92 2.62 .1866 1 0.92 2.66 .1867 2 0.92 2.61 .1868 1 0.92 2.66 .1869 1 0.92 2.81 .1870 2 0.92 2.66 .1871 2 0.92 3.22 .1872 1 0.92 2.70 .1873 1 0.92 2.61 .1874 1 0.92 2.78 .1875 2 0.92 2.78 .1876 1 0.92 2.76 .1877 1 0.92 2.74 .1878 1 0.92 2.96 .1879 2 0.92 2.77 .1880 1 0.92 2.57 .1881 1 0.92 2.69 .1882 1 0.92 2.80 .1883 3 0.92 2.73 .1884 1 0.92 2.95 .1885 1 0.92 2.78 .1886 1 0.92 2.73 .1887 2 0.92 2.83 .1888 1 0.92 2.78 .1889 1 0.92 2.93 .1890 1 0.92 2.78 .1891 2 0.92 2.76 .1892 1 0.92 2.77 .1893 1 0.92 2.73 .1894 1 0.92 2.96 .1895 1 0.92 2.71 .1896 1 0.92 2.86 .1897 1 0.92 2.81 .1898 2 0.92 2.63 .1899 2 0.92 2.68 .1900 2 0.92 2.82 .1901 3 0.92 2.76 .1902 4 0.92 2.91 .1903 3 0.92 3.19 .1904 2 0.92 2.81 .1905 3 0.92 2.88 .1906 3 0.92 2.94 .1907 1 0.92 2.81 .1908 1 0.92 2.81 .1909 2 0.92 2.78 .1910 1 0.92 2.69 .1911 2 0.92 2.72 .1912 1 0.92 2.69 .1913 2 0.92 2.89 .1914 3 0.92 2.81 .1915 3 0.92 2.87 .1916 1 0.92 2.93 .1917 2 0.92 2.93 .1918 4 0.92 2.74 .1919 1 0.92 2.78 .1920 2 0.92 2.64 .1921 3 0.92 2.71 .1922 2 0.92 2.71 .1923 1 0.92 2.75 .1924 3 0.92 2.55 .1925 3 0.92 2.58 .1926 3 0.92 2.92 .1927 3 0.92 2.77 .1928 3 0.92 2.58 .1929 1 0.92 2.67 .1930 1 0.92 2.49 .1931 2 0.92 2.46 .1932 1 0.92 2.60 .1933 1 0.92 2.60 .1934 2 0.92 2.58 .1935 2 0.92 2.48 .1936 1 0.92 2.46 .1937 1 0.92 2.52 .1938 1 0.92 2.51 .1939 1 0.92 2.57 .1940 1 0.92 2.55 .1941 2 0.92 2.42 .1942 2 0.92 2.73 .1943 1 0.92 2.64 .1944 2 0.92 2.49 .1945 1 0.92 2.57 .1946 2 0.92 2.52 .1947 1 0.92 2.49 .1948 1 0.92 2.51 .1949 3 0.92 2.50 .1950 1 0.92 2.52 .1951 1 0.92 2.77 .1952 1 0.92 2.70 .1953 1 0.92 2.59 .1954 3 0.92 2.72 .1955 1 0.92 2.76 .1956 1 0.92 2.73 .1957 1 0.92 2.55 .1958 1 0.92 2.79 .1959 1 0.92 2.79 .1960 1 0.92 2.96 .1961 1 0.92 2.98 .1962 2 0.92 2.74 .1963 1 0.92 2.67 .1964 1 0.92 2.85 .1965 1 0.92 2.76 .1966 2 0.92 2.59 .1967 2 0.92 2.57 .1968 2 0.92 2.53 .1969 1 0.92 2.84 .1970 2 0.92 2.74 .1971 3 0.92 2.74 .1972 2 0.92 2.72 .1973 3 0.92 2.81 .1974 2 0.92 2.66 .1975 1 0.92 2.67 .1976 1 0.92 2.50 .1977 1 0.92 2.64 .1978 1 0.92 2.63 .1979 1 0.92 2.62 .1980 2 0.92 2.70 .1981 3 0.92 2.77 .1982 3 0.92 2.70 .1983 2 0.92 2.44 .1984 2 0.92 2.44 .1985 2 0.92 2.66 .1986 2 0.92 2.65 .1987 2 0.92 2.68 .1988 1 0.92 2.75 .1989 1 0.92 2.50 .1990 2 0.92 2.75 .1991 2 0.92 2.79 .1992 2 0.92 2.93 .1993 3 0.92 2.60 .1994 2 0.92 2.85 .1995 3 0.92 2.58 .1996 2 0.92 2.56 .1997 2 0.92 2.63 .1998 1 0.92 2.71 .1999 2 0.92 2.63 .2000 3 0.92 2.64 .2001 3 0.92 2.57 .2002 1 0.92 2.74 .2003 1 0.92 2.55 .2004 2 0.92 2.75 .2005 2 0.92 2.73 .2006 1 0.92 2.63 .2007 2 0.92 2.60 .2008 1 0.92 2.73 .2009 2 0.92 2.66 .2010 2 0.92 2.65 .2011 1 0.92 2.66 .2012 2 0.92 2.68 .2013 3 0.92 2.54 .2014 1 0.92 2.59 .2015 1 0.92 2.67 .2016 2 0.92 2.55 .2017 2 0.92 2.54 .2018 2 0.92 2.55 .2019 2 0.92 2.62 .2020 2 0.92 2.50 .2021 2 0.92 2.50 .2022 2 0.92 2.65 .2023 1 0.92 2.71 .2024 1 0.92 2.56 .2025 2 0.92 2.45 .2026 1 0.92 2.46 .2027 1 0.92 2.40 .2028 1 0.92 2.44 .2029 1 0.92 2.59 .2030 1 0.92 2.69 .2031 1 0.92 2.46 .2032 1 0.92 2.58 .2033 1 0.92 2.70 .2034 1 0.92 2.49 .2035 1 0.92 2.63 .2036 2 0.92 2.71 .2037 2 0.92 2.51 .2038 1 0.92 2.50 .2039 1 0.92 2.62 .2040 1 0.92 2.52 .2041 3 0.92 2.51 .2042 3 0.92 2.44 .2043 2 0.92 2.63 .2044 2 0.92 2.69 .2045 2 0.92 2.56 .2046 1 0.92 2.53 .2047 3 0.92 2.51 EXTRACT_IMAGE: sdR-r1-00034752.fit: masked 1575 pixels EXTRACT_OBJECT: sdR-r1-00034752.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034752.fit: WARNING: Scattered light median = 71.9927 electrons QAPLOT_SCATLIGHT: sdR-r1-00034752.fit: WARNING: Scattered light max = 172.660 electrons EXTRACT_OBJECT: sdR-r1-00034752.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034752.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034752.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034752.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.14 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.58 96 0.02 0.14 Step 36 of 2112 0.58 96 0.02 0.16 Step 44 of 2112 0.58 96 0.02 0.16 Step 52 of 2112 0.59 96 0.01 0.15 Step 60 of 2112 0.59 96 0.01 0.15 Step 68 of 2112 0.59 96 0.02 0.16 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.16 Step 92 of 2112 0.59 96 0.02 0.16 Step 100 of 2112 0.59 96 0.02 0.15 Step 108 of 2112 0.59 96 0.02 0.14 Step 116 of 2112 0.60 96 0.02 0.14 Step 124 of 2112 0.60 96 0.02 0.14 Step 132 of 2112 0.60 96 0.02 0.14 Step 140 of 2112 0.60 96 0.02 0.14 Step 148 of 2112 0.60 96 0.02 0.14 Step 156 of 2112 0.60 96 0.02 0.14 Step 164 of 2112 0.60 96 0.02 0.14 Step 172 of 2112 0.60 96 0.02 0.13 Step 180 of 2112 0.60 96 0.02 0.16 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.61 96 0.02 0.14 Step 236 of 2112 0.61 96 0.02 0.14 Step 244 of 2112 0.61 96 0.02 0.14 Step 252 of 2112 0.62 96 0.02 0.14 Step 260 of 2112 0.62 96 0.02 0.14 Step 268 of 2112 0.62 96 0.02 0.14 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.16 Step 300 of 2112 0.62 96 0.02 0.15 Step 308 of 2112 0.62 96 0.02 0.16 Step 316 of 2112 0.63 96 0.03 0.15 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.14 Step 340 of 2112 0.63 96 0.02 0.14 Step 348 of 2112 0.63 96 0.02 0.14 Step 356 of 2112 0.63 96 0.02 0.16 Step 364 of 2112 0.63 96 0.02 0.15 Step 372 of 2112 0.63 96 0.02 0.15 Step 380 of 2112 0.64 96 0.03 0.16 Step 388 of 2112 0.64 96 0.03 0.16 Step 396 of 2112 0.64 96 0.02 0.14 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.14 Step 420 of 2112 0.64 96 0.03 0.15 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.03 0.15 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.03 0.15 Step 460 of 2112 0.65 96 0.03 0.15 Step 468 of 2112 0.65 96 0.03 0.15 Step 476 of 2112 0.65 96 0.03 0.16 Step 484 of 2112 0.65 128 0.04 0.20 Step 492 of 2112 0.65 128 0.04 0.22 Step 500 of 2112 0.65 128 0.03 0.22 Step 508 of 2112 0.66 128 0.03 0.21 Step 516 of 2112 0.66 128 0.03 0.19 Step 524 of 2112 0.66 128 0.03 0.19 Step 532 of 2112 0.66 128 0.03 0.19 Step 540 of 2112 0.66 128 0.02 0.21 Step 548 of 2112 0.66 128 0.03 0.21 Step 556 of 2112 0.66 128 0.03 0.21 Step 564 of 2112 0.66 128 0.03 0.21 Step 572 of 2112 0.67 128 0.03 0.20 Step 580 of 2112 0.67 128 0.03 0.21 Step 588 of 2112 0.67 128 0.02 0.21 Step 596 of 2112 0.67 128 0.02 0.21 Step 604 of 2112 0.67 128 0.03 0.21 Step 612 of 2112 0.67 128 0.02 0.21 Step 620 of 2112 0.67 128 0.01 0.20 Step 628 of 2112 0.68 128 0.02 0.20 Step 636 of 2112 0.68 128 0.01 0.21 Step 644 of 2112 0.68 128 0.01 0.19 Step 652 of 2112 0.68 128 0.01 0.21 Step 660 of 2112 0.68 128 0.01 0.20 Step 668 of 2112 0.68 128 0.01 0.22 Step 676 of 2112 0.68 128 0.01 0.21 Step 684 of 2112 0.68 128 0.02 0.21 Step 692 of 2112 0.69 128 0.02 0.20 Step 700 of 2112 0.69 128 0.03 0.23 Step 708 of 2112 0.69 128 0.03 0.21 Step 716 of 2112 0.69 128 0.03 0.19 Step 724 of 2112 0.69 128 0.03 0.19 Step 732 of 2112 0.69 128 0.03 0.21 Step 740 of 2112 0.69 128 0.03 0.21 Step 748 of 2112 0.69 128 0.04 0.22 Step 756 of 2112 0.70 128 0.04 0.20 Step 764 of 2112 0.70 128 0.04 0.20 Step 772 of 2112 0.70 128 0.03 0.21 Step 780 of 2112 0.70 128 0.04 0.23 Step 788 of 2112 0.70 128 0.04 0.21 Step 796 of 2112 0.70 128 0.03 0.21 Step 804 of 2112 0.70 128 0.03 0.20 Step 812 of 2112 0.71 128 0.03 0.20 Step 820 of 2112 0.71 128 0.03 0.20 Step 828 of 2112 0.71 128 0.03 0.23 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.02 0.22 Step 852 of 2112 0.71 128 0.02 0.20 Step 860 of 2112 0.71 128 0.02 0.19 Step 868 of 2112 0.71 128 0.03 0.20 Step 876 of 2112 0.72 128 0.02 0.20 Step 884 of 2112 0.72 128 0.03 0.23 Step 892 of 2112 0.72 128 0.03 0.22 Step 900 of 2112 0.72 128 0.02 0.22 Step 908 of 2112 0.72 128 0.03 0.21 Step 916 of 2112 0.72 128 0.03 0.21 Step 924 of 2112 0.72 128 0.03 0.20 Step 932 of 2112 0.72 128 0.03 0.22 Step 940 of 2112 0.73 128 0.02 0.19 Step 948 of 2112 0.73 128 0.03 0.21 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.03 0.20 Step 972 of 2112 0.73 128 0.03 0.19 Step 980 of 2112 0.73 160 0.05 0.35 Step 988 of 2112 0.73 160 0.03 0.34 Step 996 of 2112 0.74 160 0.03 0.33 Step 1004 of 2112 0.74 160 0.03 0.34 Step 1012 of 2112 0.74 160 0.03 0.34 Step 1020 of 2112 0.74 160 0.03 0.35 Step 1028 of 2112 0.74 160 0.03 0.33 Step 1036 of 2112 0.74 160 0.03 0.32 Step 1044 of 2112 0.74 160 0.03 0.33 Step 1052 of 2112 0.75 160 0.03 0.33 Step 1060 of 2112 0.75 160 0.03 0.34 Step 1068 of 2112 0.75 160 0.03 0.33 Step 1076 of 2112 0.75 160 0.03 0.33 Step 1084 of 2112 0.75 160 0.03 0.34 Step 1092 of 2112 0.75 160 0.03 0.33 Step 1100 of 2112 0.75 160 0.04 0.33 Step 1108 of 2112 0.75 160 0.04 0.35 Step 1116 of 2112 0.76 160 0.03 0.32 Step 1124 of 2112 0.76 160 0.03 0.35 Step 1132 of 2112 0.76 160 0.03 0.34 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.02 0.34 Step 1156 of 2112 0.76 160 0.03 0.33 Step 1164 of 2112 0.76 160 0.03 0.32 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.32 Step 1188 of 2112 0.77 160 0.04 0.35 Step 1196 of 2112 0.77 160 0.04 0.34 Step 1204 of 2112 0.77 160 0.04 0.33 Step 1212 of 2112 0.77 160 0.04 0.33 Step 1220 of 2112 0.77 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.03 0.32 Step 1252 of 2112 0.78 160 0.03 0.32 Step 1260 of 2112 0.78 160 0.03 0.32 Step 1268 of 2112 0.78 160 0.03 0.33 Step 1276 of 2112 0.78 160 0.04 0.33 Step 1284 of 2112 0.78 160 0.03 0.33 Step 1292 of 2112 0.79 160 0.03 0.32 Step 1300 of 2112 0.79 160 0.03 0.33 Step 1308 of 2112 0.79 160 0.04 0.33 Step 1316 of 2112 0.79 160 0.03 0.36 Step 1324 of 2112 0.79 160 0.03 0.36 Step 1332 of 2112 0.79 160 0.03 0.34 Step 1340 of 2112 0.79 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.34 Step 1356 of 2112 0.80 160 0.03 0.35 Step 1364 of 2112 0.80 192 0.04 0.36 Step 1372 of 2112 0.80 192 0.03 0.36 Step 1380 of 2112 0.80 192 0.03 0.36 Step 1388 of 2112 0.80 192 0.03 0.36 Step 1396 of 2112 0.80 192 0.04 0.36 Step 1404 of 2112 0.81 192 0.04 0.39 Step 1412 of 2112 0.81 192 0.04 0.37 Step 1420 of 2112 0.81 192 0.04 0.37 Step 1428 of 2112 0.81 192 0.03 0.37 Step 1436 of 2112 0.81 192 0.02 0.37 Step 1444 of 2112 0.81 192 0.02 0.38 Step 1452 of 2112 0.81 192 0.02 0.36 Step 1460 of 2112 0.82 192 0.03 0.36 Step 1468 of 2112 0.82 192 0.04 0.37 Step 1476 of 2112 0.82 192 0.03 0.36 Step 1484 of 2112 0.82 192 0.04 0.37 Step 1492 of 2112 0.82 192 0.03 0.35 Step 1500 of 2112 0.82 192 0.03 0.36 Step 1508 of 2112 0.82 192 0.04 0.36 Step 1516 of 2112 0.83 192 0.04 0.38 Step 1524 of 2112 0.83 192 0.04 0.36 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.04 0.36 Step 1548 of 2112 0.83 192 0.04 0.36 Step 1556 of 2112 0.83 192 0.05 0.37 Step 1564 of 2112 0.83 192 0.04 0.37 Step 1572 of 2112 0.84 192 0.05 0.39 Step 1580 of 2112 0.84 192 0.04 0.36 Step 1588 of 2112 0.84 192 0.04 0.37 Step 1596 of 2112 0.84 192 0.04 0.37 Step 1604 of 2112 0.84 192 0.04 0.36 Step 1612 of 2112 0.84 192 0.04 0.36 Step 1620 of 2112 0.84 192 0.04 0.36 Step 1628 of 2112 0.84 192 0.04 0.36 Step 1636 of 2112 0.85 192 0.04 0.36 Step 1644 of 2112 0.85 192 0.04 0.36 Step 1652 of 2112 0.85 192 0.04 0.36 Step 1660 of 2112 0.85 192 0.03 0.36 Step 1668 of 2112 0.85 192 0.03 0.36 Step 1676 of 2112 0.85 192 0.03 0.37 Step 1684 of 2112 0.85 192 0.03 0.36 Step 1692 of 2112 0.86 224 0.04 0.47 Step 1700 of 2112 0.86 224 0.04 0.47 Step 1708 of 2112 0.86 224 0.04 0.48 Step 1716 of 2112 0.86 224 0.03 0.45 Step 1724 of 2112 0.86 224 0.04 0.45 Step 1732 of 2112 0.86 224 0.04 0.46 Step 1740 of 2112 0.86 224 0.04 0.49 Step 1748 of 2112 0.87 224 0.05 0.47 Step 1756 of 2112 0.87 224 0.04 0.47 Step 1764 of 2112 0.87 224 0.04 0.49 Step 1772 of 2112 0.87 224 0.05 0.47 Step 1780 of 2112 0.87 224 0.04 0.47 Step 1788 of 2112 0.87 224 0.03 0.47 Step 1796 of 2112 0.87 224 0.04 0.49 Step 1804 of 2112 0.88 224 0.04 0.48 Step 1812 of 2112 0.88 224 0.04 0.48 Step 1820 of 2112 0.88 224 0.04 0.48 Step 1828 of 2112 0.88 224 0.04 0.48 Step 1836 of 2112 0.88 224 0.03 0.49 Step 1844 of 2112 0.88 224 0.04 0.47 Step 1852 of 2112 0.88 224 0.05 0.47 Step 1860 of 2112 0.89 224 0.04 0.46 Step 1868 of 2112 0.89 224 0.04 0.47 Step 1876 of 2112 0.89 224 0.03 0.49 Step 1884 of 2112 0.89 224 0.04 0.51 Step 1892 of 2112 0.89 224 0.03 0.49 Step 1900 of 2112 0.89 224 0.04 0.48 Step 1908 of 2112 0.89 224 0.04 0.47 Step 1916 of 2112 0.90 224 0.04 0.46 Step 1924 of 2112 0.90 224 0.04 0.47 Step 1932 of 2112 0.90 224 0.04 0.47 Step 1940 of 2112 0.90 224 0.04 0.49 Step 1948 of 2112 0.90 224 0.03 0.48 Step 1956 of 2112 0.90 224 0.04 0.48 Step 1964 of 2112 0.90 256 0.05 0.50 Step 1972 of 2112 0.91 256 0.05 0.51 Step 1980 of 2112 0.91 256 0.04 0.51 Step 1988 of 2112 0.91 256 0.06 0.51 Step 1996 of 2112 0.91 256 0.06 0.55 Step 2004 of 2112 0.91 256 0.05 0.50 Step 2012 of 2112 0.91 256 0.05 0.50 Step 2020 of 2112 0.91 256 0.04 0.51 Step 2028 of 2112 0.92 256 0.04 0.49 Step 2036 of 2112 0.92 256 0.05 0.51 Step 2044 of 2112 0.92 256 0.05 0.51 Step 2052 of 2112 0.92 256 0.05 0.51 Step 2060 of 2112 0.92 256 0.05 0.50 Step 2068 of 2112 0.92 256 0.05 0.50 Step 2076 of 2112 0.92 256 0.05 0.50 Step 2084 of 2112 0.93 256 0.05 0.51 Step 2092 of 2112 0.93 256 0.05 0.49 Step 2100 of 2112 0.93 256 0.05 0.51 Step 2108 of 2112 0.93 256 0.06 0.53 EXTRACT_OBJECT: sdR-r1-00034752.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 1 0.95 1.48 .0001 2 0.95 1.42 .0002 2 0.95 1.48 .0003 1 0.95 1.44 .0004 1 0.95 1.43 .0005 1 0.95 1.40 .0006 2 0.95 1.41 .0007 2 0.95 1.39 .0008 1 0.95 1.47 .0009 1 0.95 1.61 .0010 3 0.95 1.56 .0011 3 0.95 1.54 .0012 3 0.95 1.47 .0013 4 0.95 1.55 .0014 3 0.95 1.45 .0015 2 0.95 1.53 .0016 5 0.95 1.59 .0017 3 0.95 1.61 .0018 2 0.95 1.64 .0019 4 0.95 1.54 .0020 2 0.95 1.59 .0021 2 0.95 1.48 .0022 2 0.95 1.66 .0023 3 0.95 1.66 .0024 1 0.95 1.71 .0025 2 0.95 1.60 .0026 3 0.95 1.72 .0027 2 0.95 1.77 .0028 2 0.95 1.67 .0029 1 0.95 1.79 .0030 1 0.95 1.96 .0031 2 0.95 2.02 .0032 3 0.95 1.99 .0033 3 0.95 1.97 .0034 1 0.95 1.86 .0035 1 0.95 1.93 .0036 1 0.95 1.95 .0037 1 0.95 1.79 .0038 1 0.95 1.88 .0039 3 0.95 1.87 .0040 2 0.95 2.13 .0041 3 0.95 2.05 .0042 1 0.95 1.97 .0043 1 0.95 2.04 .0044 1 0.95 1.89 .0045 1 0.95 1.93 .0046 1 0.95 2.03 .0047 2 0.95 2.02 .0048 3 0.95 1.93 .0049 1 0.95 2.20 .0050 1 0.95 2.07 .0051 1 0.95 1.94 .0052 2 0.95 2.13 .0053 2 0.95 1.99 .0054 2 0.95 2.05 .0055 3 0.95 2.12 .0056 2 0.95 2.15 .0057 1 0.95 2.00 .0058 1 0.95 1.94 .0059 1 0.95 1.87 .0060 1 0.95 1.96 .0061 1 0.95 2.02 .0062 1 0.95 1.94 .0063 1 0.95 1.94 .0064 1 0.95 2.03 .0065 2 0.95 2.03 .0066 1 0.95 2.04 .0067 1 0.95 1.90 .0068 1 0.95 2.02 .0069 1 0.95 2.00 .0070 1 0.94 1.86 .0071 2 0.94 2.12 .0072 2 0.94 2.14 .0073 2 0.94 2.24 .0074 4 0.94 1.98 .0075 1 0.94 2.01 .0076 1 0.94 1.99 .0077 1 0.94 2.05 .0078 2 0.94 1.94 .0079 1 0.94 1.98 .0080 1 0.94 1.99 .0081 3 0.94 1.89 .0082 2 0.94 1.97 .0083 3 0.94 2.02 .0084 1 0.94 1.93 .0085 1 0.94 1.86 .0086 1 0.94 2.04 .0087 2 0.94 2.05 .0088 1 0.94 1.93 .0089 1 0.94 1.98 .0090 1 0.94 2.02 .0091 1 0.94 1.99 .0092 3 0.94 2.00 .0093 1 0.94 1.97 .0094 3 0.94 2.03 .0095 3 0.94 1.97 .0096 2 0.94 2.00 .0097 1 0.94 1.87 .0098 1 0.94 2.01 .0099 1 0.94 2.01 .0100 1 0.94 1.95 .0101 3 0.94 2.06 .0102 1 0.94 2.06 .0103 3 0.94 1.96 .0104 3 0.94 2.14 .0105 2 0.94 1.93 .0106 1 0.94 2.07 .0107 1 0.94 2.03 .0108 2 0.94 1.95 .0109 1 0.94 2.09 .0110 1 0.94 2.05 .0111 1 0.94 1.97 .0112 2 0.94 2.05 .0113 4 0.94 2.13 .0114 3 0.94 1.87 .0115 2 0.94 2.06 .0116 2 0.94 1.99 .0117 2 0.94 2.17 .0118 3 0.94 2.02 .0119 2 0.94 2.00 .0120 2 0.94 2.11 .0121 2 0.94 2.10 .0122 1 0.94 2.08 .0123 1 0.94 1.95 .0124 2 0.94 1.92 .0125 1 0.94 1.96 .0126 2 0.94 1.89 .0127 1 0.94 1.93 .0128 2 0.94 1.92 .0129 1 0.94 1.88 .0130 1 0.94 1.98 .0131 2 0.94 1.94 .0132 1 0.94 2.02 .0133 1 0.94 2.01 .0134 1 0.94 1.95 .0135 1 0.94 2.00 .0136 2 0.94 1.97 .0137 3 0.94 2.16 .0138 4 0.94 1.94 .0139 1 0.94 1.94 .0140 1 0.94 2.09 .0141 1 0.94 1.98 .0142 1 0.94 1.88 .0143 1 0.94 1.92 .0144 2 0.94 1.99 .0145 1 0.94 2.11 .0146 2 0.94 2.04 .0147 1 0.94 1.84 .0148 1 0.94 1.99 .0149 1 0.94 1.95 .0150 1 0.94 1.99 .0151 1 0.94 1.99 .0152 1 0.94 2.06 .0153 2 0.94 2.11 .0154 2 0.93 2.11 .0155 2 0.93 2.06 .0156 1 0.93 1.99 .0157 1 0.93 1.96 .0158 2 0.93 2.03 .0159 1 0.93 1.95 .0160 1 0.93 1.88 .0161 2 0.93 2.05 .0162 2 0.93 2.11 .0163 2 0.93 2.06 .0164 1 0.93 2.07 .0165 1 0.93 2.13 .0166 1 0.93 2.18 .0167 1 0.93 2.05 .0168 1 0.93 2.03 .0169 2 0.93 1.97 .0170 3 0.93 2.04 .0171 2 0.93 2.06 .0172 1 0.93 2.07 .0173 2 0.93 2.15 .0174 3 0.93 2.15 .0175 2 0.93 2.26 .0176 1 0.93 2.42 .0177 1 0.93 2.23 .0178 2 0.93 2.34 .0179 1 0.93 2.25 .0180 1 0.93 2.21 .0181 1 0.93 2.33 .0182 1 0.93 2.15 .0183 1 0.93 2.29 .0184 2 0.93 2.35 .0185 4 0.93 2.26 .0186 3 0.93 2.28 .0187 1 0.93 2.55 .0188 2 0.93 2.21 .0189 3 0.93 2.20 .0190 3 0.93 2.24 .0191 2 0.93 2.41 .0192 2 0.93 2.46 .0193 3 0.93 2.42 .0194 1 0.93 2.40 .0195 1 0.93 2.37 .0196 1 0.93 2.47 .0197 3 0.93 2.42 .0198 3 0.93 2.46 .0199 2 0.93 2.69 .0200 3 0.93 2.48 .0201 1 0.93 2.31 .0202 1 0.93 2.30 .0203 1 0.93 2.47 .0204 2 0.93 2.52 .0205 1 0.93 2.48 .0206 1 0.93 2.60 .0207 1 0.93 2.55 .0208 1 0.93 2.60 .0209 1 0.93 2.54 .0210 3 0.93 2.67 .0211 2 0.93 2.73 .0212 1 0.93 2.71 .0213 1 0.93 2.77 .0214 3 0.93 2.65 .0215 1 0.93 2.52 .0216 1 0.93 2.77 .0217 2 0.93 2.85 .0218 2 0.93 2.64 .0219 1 0.93 2.75 .0220 1 0.93 2.77 .0221 1 0.93 2.88 .0222 2 0.93 2.92 .0223 1 0.93 2.94 .0224 1 0.93 2.69 .0225 3 0.93 3.06 .0226 2 0.93 2.99 .0227 1 0.93 2.79 .0228 2 0.93 2.86 .0229 1 0.93 2.90 .0230 1 0.93 2.77 .0231 2 0.93 2.85 .0232 2 0.93 3.19 .0233 1 0.93 2.99 .0234 1 0.93 2.89 .0235 1 0.93 2.78 .0236 1 0.93 2.80 .0237 2 0.93 2.86 .0238 1 0.93 2.60 .0239 1 0.93 2.61 .0240 1 0.93 2.76 .0241 1 0.93 2.70 .0242 1 0.93 2.67 .0243 1 0.93 2.73 .0244 1 0.93 2.76 .0245 2 0.93 2.93 .0246 2 0.93 2.75 .0247 2 0.93 2.66 .0248 1 0.93 2.78 .0249 2 0.93 2.71 .0250 2 0.93 2.69 .0251 2 0.93 2.59 .0252 1 0.93 2.83 .0253 3 0.93 2.61 .0254 1 0.93 2.80 .0255 1 0.93 2.63 .0256 1 0.93 2.52 .0257 1 0.93 2.58 .0258 3 0.93 2.52 .0259 1 0.93 2.61 .0260 2 0.93 2.48 .0261 2 0.93 2.53 .0262 3 0.93 2.43 .0263 2 0.93 2.51 .0264 2 0.93 2.54 .0265 2 0.93 2.82 .0266 3 0.93 2.58 .0267 4 0.93 2.75 .0268 5 0.93 2.56 .0269 4 0.93 2.55 .0270 3 0.93 2.48 .0271 1 0.93 2.56 .0272 1 0.93 2.55 .0273 2 0.93 2.32 .0274 2 0.93 2.80 .0275 3 0.93 2.48 .0276 2 0.93 2.54 .0277 2 0.93 2.54 .0278 2 0.93 2.48 .0279 1 0.93 2.69 .0280 1 0.93 2.33 .0281 1 0.93 2.56 .0282 4 0.93 2.45 .0283 3 0.93 2.30 .0284 1 0.93 2.17 .0285 2 0.93 2.60 .0286 2 0.93 2.62 .0287 2 0.93 2.38 .0288 2 0.93 2.44 .0289 2 0.93 2.45 .0290 1 0.93 2.37 .0291 1 0.93 2.31 .0292 1 0.93 2.34 .0293 2 0.92 2.45 .0294 1 0.92 2.50 .0295 1 0.92 2.58 .0296 1 0.92 2.66 .0297 1 0.92 2.47 .0298 1 0.92 2.42 .0299 1 0.92 2.47 .0300 1 0.92 2.43 .0301 2 0.92 2.51 .0302 3 0.92 2.51 .0303 1 0.92 2.70 .0304 2 0.92 2.39 .0305 1 0.92 2.56 .0306 1 0.92 2.56 .0307 1 0.92 2.37 .0308 1 0.92 2.59 .0309 2 0.92 2.57 .0310 1 0.92 2.50 .0311 1 0.92 2.54 .0312 2 0.92 2.51 .0313 1 0.92 2.57 .0314 3 0.92 2.68 .0315 3 0.92 2.54 .0316 3 0.92 2.56 .0317 1 0.92 2.65 .0318 1 0.92 2.60 .0319 3 0.92 2.61 .0320 3 0.92 2.84 .0321 3 0.92 2.80 .0322 3 0.92 2.62 .0323 2 0.92 2.67 .0324 1 0.92 2.70 .0325 1 0.92 2.73 .0326 3 0.92 2.64 .0327 1 0.92 2.69 .0328 1 0.92 2.77 .0329 1 0.92 2.83 .0330 1 0.92 2.76 .0331 2 0.92 2.73 .0332 2 0.92 2.90 .0333 1 0.92 2.89 .0334 1 0.92 2.75 .0335 1 0.92 2.80 .0336 1 0.92 2.90 .0337 2 0.92 2.71 .0338 1 0.92 2.74 .0339 1 0.92 2.72 .0340 1 0.92 2.84 .0341 1 0.92 2.83 .0342 2 0.92 2.82 .0343 1 0.92 3.02 .0344 1 0.92 2.99 .0345 2 0.92 2.83 .0346 1 0.92 3.03 .0347 1 0.92 3.14 .0348 1 0.92 2.89 .0349 1 0.92 2.93 .0350 2 0.92 2.78 .0351 2 0.92 3.37 .0352 4 0.92 3.15 .0353 3 0.92 3.17 .0354 2 0.92 3.30 .0355 3 0.92 3.14 .0356 2 0.92 2.94 .0357 3 0.92 2.83 .0358 2 0.92 2.98 .0359 2 0.92 3.06 .0360 1 0.92 3.17 .0361 3 0.92 2.84 .0362 1 0.92 3.00 .0363 1 0.92 2.89 .0364 2 0.92 2.78 .0365 2 0.92 3.10 .0366 3 0.92 2.89 .0367 1 0.92 2.89 .0368 1 0.92 2.84 .0369 1 0.92 2.81 .0370 1 0.92 2.84 .0371 1 0.92 3.03 .0372 2 0.92 2.99 .0373 1 0.92 2.95 .0374 1 0.92 2.78 .0375 2 0.92 2.76 .0376 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1.73 .1986 2 0.92 1.66 .1987 2 0.92 1.76 .1988 1 0.92 1.82 .1989 1 0.92 1.57 .1990 2 0.92 1.76 .1991 2 0.92 1.81 .1992 2 0.92 1.94 .1993 2 0.92 1.64 .1994 3 0.92 1.65 .1995 3 0.92 1.62 .1996 2 0.92 1.66 .1997 2 0.92 1.74 .1998 1 0.92 1.77 .1999 2 0.92 1.71 .2000 3 0.92 1.66 .2001 3 0.92 1.61 .2002 1 0.92 1.80 .2003 1 0.92 1.65 .2004 2 0.92 1.81 .2005 3 0.92 1.70 .2006 1 0.92 1.73 .2007 2 0.92 1.64 .2008 2 0.92 1.66 .2009 2 0.92 1.71 .2010 2 0.92 1.70 .2011 1 0.92 1.73 .2012 3 0.92 1.63 .2013 3 0.92 1.61 .2014 1 0.92 1.64 .2015 1 0.92 1.64 .2016 2 0.92 1.63 .2017 2 0.92 1.73 .2018 2 0.92 1.60 .2019 2 0.92 1.74 .2020 2 0.92 1.56 .2021 2 0.92 1.68 .2022 2 0.92 1.68 .2023 1 0.92 1.82 .2024 1 0.92 1.66 .2025 2 0.92 1.62 .2026 1 0.92 1.60 .2027 1 0.92 1.58 .2028 1 0.92 1.54 .2029 1 0.92 1.65 .2030 1 0.92 1.73 .2031 1 0.92 1.62 .2032 1 0.92 1.65 .2033 1 0.92 1.75 .2034 1 0.92 1.61 .2035 1 0.92 1.72 .2036 3 0.92 1.65 .2037 2 0.92 1.63 .2038 1 0.92 1.59 .2039 1 0.92 1.71 .2040 1 0.92 1.64 .2041 3 0.92 1.61 .2042 3 0.92 1.59 .2043 2 0.92 1.70 .2044 2 0.92 1.75 .2045 2 0.92 1.69 .2046 1 0.92 1.65 .2047 3 0.92 1.63 EXTRACT_IMAGE: sdR-r1-00034752.fit: masked 1746 pixels EXTRACT_OBJECT: sdR-r1-00034752.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034752.fit: WARNING: Scattered light median = 21.6384 electrons QAPLOT_SCATLIGHT: sdR-r1-00034752.fit: WARNING: Scattered light max = 47.9444 electrons EXTRACT_OBJECT: sdR-r1-00034752.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 1 0.95 1.65 .0001 3 0.95 1.39 .0002 2 0.95 1.47 .0003 1 0.95 1.44 .0004 2 0.95 1.39 .0005 2 0.95 1.34 .0006 2 0.95 1.40 .0007 2 0.95 1.40 .0008 2 0.95 1.44 .0009 2 0.95 1.56 .0010 5 0.95 1.50 .0011 2 0.95 1.58 .0012 2 0.95 1.50 .0013 3 0.95 1.58 .0014 3 0.95 1.52 .0015 2 0.95 1.52 .0016 4 0.95 1.58 .0017 4 0.95 1.53 .0018 2 0.95 1.64 .0019 3 0.95 1.58 .0020 2 0.95 1.60 .0021 3 0.95 1.53 .0022 2 0.95 1.75 .0023 2 0.95 1.70 .0024 2 0.95 1.71 .0025 2 0.95 1.68 .0026 2 0.95 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2.13 .0138 3 0.94 2.00 .0139 1 0.94 2.09 .0140 2 0.94 2.12 .0141 1 0.94 2.07 .0142 2 0.94 1.94 .0143 1 0.94 2.05 .0144 2 0.94 2.07 .0145 2 0.94 2.13 .0146 2 0.94 2.08 .0147 1 0.94 1.95 .0148 1 0.94 2.09 .0149 1 0.94 2.11 .0150 1 0.94 2.08 .0151 1 0.94 2.07 .0152 1 0.94 2.13 .0153 2 0.94 2.24 .0154 2 0.93 2.10 .0155 2 0.93 2.17 .0156 1 0.93 2.04 .0157 1 0.93 2.08 .0158 2 0.93 2.11 .0159 1 0.93 2.04 .0160 1 0.93 2.06 .0161 2 0.93 2.20 .0162 4 0.93 2.12 .0163 2 0.93 2.23 .0164 1 0.93 2.23 .0165 1 0.93 2.29 .0166 2 0.93 2.17 .0167 1 0.93 2.26 .0168 1 0.93 2.17 .0169 2 0.93 2.15 .0170 3 0.93 2.20 .0171 2 0.93 2.20 .0172 1 0.93 2.22 .0173 2 0.93 2.36 .0174 3 0.93 2.16 .0175 2 0.93 2.41 .0176 1 0.93 2.47 .0177 1 0.93 2.37 .0178 2 0.93 2.40 .0179 2 0.93 2.29 .0180 2 0.93 2.27 .0181 1 0.93 2.48 .0182 1 0.93 2.36 .0183 1 0.93 2.53 .0184 2 0.93 2.44 .0185 4 0.93 2.46 .0186 3 0.93 2.44 .0187 2 0.93 2.47 .0188 2 0.93 2.34 .0189 2 0.93 2.33 .0190 3 0.93 2.39 .0191 2 0.93 2.50 .0192 2 0.93 2.55 .0193 3 0.93 2.51 .0194 1 0.93 2.54 .0195 1 0.93 2.53 .0196 1 0.93 2.62 .0197 3 0.93 2.67 .0198 3 0.93 2.68 .0199 2 0.93 2.66 .0200 3 0.93 2.63 .0201 1 0.93 2.52 .0202 1 0.93 2.47 .0203 1 0.93 2.68 .0204 2 0.93 2.76 .0205 1 0.93 2.69 .0206 1 0.93 2.78 .0207 1 0.93 2.78 .0208 1 0.93 2.80 .0209 1 0.93 2.78 .0210 3 0.93 2.73 .0211 2 0.93 2.93 .0212 2 0.93 2.86 .0213 1 0.93 2.89 .0214 3 0.93 2.81 .0215 1 0.93 2.76 .0216 2 0.93 2.89 .0217 2 0.93 3.03 .0218 2 0.93 2.82 .0219 1 0.93 2.99 .0220 1 0.93 3.04 .0221 1 0.93 3.05 .0222 2 0.93 3.10 .0223 1 0.93 3.15 .0224 1 0.93 2.89 .0225 3 0.93 3.03 .0226 2 0.93 3.18 .0227 1 0.93 2.93 .0228 3 0.93 3.05 .0229 1 0.93 3.04 .0230 1 0.93 2.95 .0231 2 0.93 3.11 .0232 3 0.93 3.14 .0233 2 0.93 3.08 .0234 1 0.93 3.03 .0235 1 0.93 2.89 .0236 1 0.93 2.97 .0237 2 0.93 3.00 .0238 1 0.93 2.81 .0239 1 0.93 2.74 .0240 1 0.93 2.88 .0241 1 0.93 2.83 .0242 1 0.93 2.86 .0243 1 0.93 2.86 .0244 1 0.93 2.84 .0245 3 0.93 2.84 .0246 3 0.93 2.77 .0247 2 0.93 2.79 .0248 1 0.93 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2.05 .1581 1 0.93 2.09 .1582 1 0.93 2.22 .1583 1 0.93 2.09 .1584 1 0.93 2.12 .1585 1 0.93 2.08 .1586 2 0.93 2.09 .1587 1 0.93 2.03 .1588 1 0.93 2.29 .1589 2 0.93 2.10 .1590 2 0.93 2.20 .1591 2 0.93 2.09 .1592 2 0.93 2.13 .1593 1 0.93 2.00 .1594 2 0.93 2.12 .1595 1 0.93 2.08 .1596 1 0.93 2.14 .1597 1 0.93 2.03 .1598 1 0.93 2.21 .1599 2 0.93 2.00 .1600 1 0.93 2.17 .1601 2 0.93 2.22 .1602 3 0.93 2.26 .1603 3 0.93 2.33 .1604 3 0.93 2.19 .1605 2 0.93 2.21 .1606 2 0.93 2.16 .1607 2 0.93 2.10 .1608 5 0.93 1.98 .1609 1 0.93 2.06 .1610 1 0.93 2.11 .1611 3 0.93 2.16 .1612 2 0.93 2.19 .1613 2 0.93 2.01 .1614 2 0.93 2.09 .1615 2 0.93 2.08 .1616 2 0.93 2.17 .1617 1 0.93 2.06 .1618 2 0.93 2.24 .1619 2 0.93 2.13 .1620 1 0.93 2.24 .1621 2 0.93 2.06 .1622 2 0.93 2.12 .1623 1 0.93 2.09 .1624 4 0.93 2.13 .1625 4 0.93 2.13 .1626 1 0.93 2.07 .1627 1 0.93 1.98 .1628 1 0.93 2.11 .1629 3 0.93 1.99 .1630 1 0.93 2.16 .1631 1 0.93 2.04 .1632 1 0.93 1.99 .1633 1 0.93 2.15 .1634 1 0.93 2.09 .1635 2 0.93 2.10 .1636 1 0.93 2.04 .1637 1 0.93 2.04 .1638 1 0.93 2.09 .1639 2 0.93 2.17 .1640 3 0.93 1.96 .1641 2 0.93 2.20 .1642 4 0.93 2.02 .1643 2 0.93 2.09 .1644 2 0.93 2.05 .1645 4 0.93 2.06 .1646 1 0.93 2.12 .1647 1 0.93 2.10 .1648 1 0.93 2.04 .1649 3 0.93 2.09 .1650 1 0.93 2.03 .1651 1 0.93 1.94 .1652 1 0.93 1.97 .1653 1 0.93 2.09 .1654 3 0.93 2.09 .1655 2 0.93 2.06 .1656 1 0.93 1.98 .1657 1 0.93 1.95 .1658 1 0.93 2.03 .1659 1 0.93 1.99 .1660 1 0.93 1.96 .1661 2 0.93 2.09 .1662 1 0.93 1.98 .1663 1 0.93 2.05 .1664 4 0.93 2.09 .1665 3 0.93 2.03 .1666 1 0.93 2.01 .1667 4 0.93 2.02 .1668 1 0.93 1.99 .1669 2 0.93 1.95 .1670 3 0.93 2.08 .1671 2 0.93 2.02 .1672 6 0.93 1.99 .1673 3 0.93 2.08 .1674 2 0.93 1.99 .1675 1 0.93 2.00 .1676 2 0.93 2.03 .1677 3 0.93 2.03 .1678 3 0.93 2.02 .1679 3 0.93 1.91 .1680 1 0.93 2.00 .1681 6 0.93 1.94 .1682 3 0.93 1.87 .1683 3 0.93 1.94 .1684 1 0.93 1.89 .1685 5 0.93 1.84 .1686 2 0.93 1.94 .1687 1 0.93 1.96 .1688 1 0.93 2.04 .1689 1 0.93 2.03 .1690 1 0.93 1.99 .1691 1 0.93 1.90 .1692 1 0.93 1.98 .1693 1 0.93 2.01 .1694 2 0.93 2.08 .1695 2 0.93 2.11 .1696 1 0.93 1.96 .1697 1 0.93 2.16 .1698 1 0.93 2.05 .1699 1 0.93 2.00 .1700 1 0.93 1.95 .1701 3 0.93 2.09 .1702 5 0.93 1.93 .1703 1 0.93 2.07 .1704 5 0.93 1.93 .1705 3 0.93 2.05 .1706 2 0.93 1.99 .1707 1 0.93 2.01 .1708 2 0.93 1.95 .1709 2 0.93 1.96 .1710 2 0.93 1.91 .1711 3 0.93 1.83 .1712 2 0.93 1.89 .1713 2 0.93 1.89 .1714 4 0.93 1.93 .1715 1 0.93 1.91 .1716 2 0.93 1.94 .1717 1 0.93 2.04 .1718 2 0.93 1.87 .1719 1 0.93 1.96 .1720 1 0.93 1.81 .1721 1 0.93 1.90 .1722 1 0.92 1.95 .1723 1 0.92 2.02 .1724 1 0.92 1.92 .1725 3 0.92 1.96 .1726 3 0.92 2.11 .1727 3 0.92 1.92 .1728 2 0.92 2.01 .1729 1 0.92 2.04 .1730 3 0.92 1.98 .1731 2 0.92 1.86 .1732 1 0.92 1.85 .1733 1 0.92 1.86 .1734 1 0.92 1.83 .1735 1 0.92 1.95 .1736 4 0.92 1.93 .1737 3 0.92 1.89 .1738 2 0.92 2.07 .1739 3 0.92 1.97 .1740 3 0.92 1.94 .1741 2 0.92 1.96 .1742 2 0.92 1.87 .1743 1 0.92 1.81 .1744 3 0.92 1.86 .1745 2 0.92 1.88 .1746 2 0.92 1.96 .1747 3 0.92 1.91 .1748 1 0.92 1.77 .1749 1 0.92 1.82 .1750 1 0.92 1.90 .1751 1 0.92 1.72 .1752 1 0.92 1.75 .1753 1 0.92 1.81 .1754 1 0.92 1.93 .1755 1 0.92 2.00 .1756 2 0.92 1.94 .1757 3 0.92 1.96 .1758 1 0.92 1.84 .1759 2 0.92 1.85 .1760 1 0.92 1.83 .1761 2 0.92 1.89 .1762 2 0.92 1.90 .1763 3 0.92 2.01 .1764 2 0.92 1.96 .1765 2 0.92 1.97 .1766 1 0.92 1.86 .1767 2 0.92 1.91 .1768 2 0.92 1.93 .1769 2 0.92 1.97 .1770 2 0.92 1.95 .1771 3 0.92 1.91 .1772 2 0.92 1.90 .1773 3 0.92 1.90 .1774 3 0.92 2.13 .1775 3 0.92 1.83 .1776 5 0.92 1.82 .1777 1 0.92 1.88 .1778 3 0.92 1.87 .1779 3 0.92 1.82 .1780 2 0.92 1.80 .1781 3 0.92 1.88 .1782 1 0.92 1.88 .1783 4 0.92 1.80 .1784 3 0.92 1.90 .1785 4 0.92 1.86 .1786 4 0.92 2.03 .1787 2 0.92 1.85 .1788 3 0.92 1.86 .1789 1 0.92 1.80 .1790 1 0.92 1.64 .1791 2 0.92 1.84 .1792 1 0.92 1.88 .1793 1 0.92 1.89 .1794 1 0.92 1.84 .1795 1 0.92 1.83 .1796 1 0.92 1.74 .1797 3 0.92 1.77 .1798 3 0.92 1.90 .1799 1 0.92 1.83 .1800 1 0.92 1.82 .1801 2 0.92 1.88 .1802 1 0.92 1.71 .1803 3 0.92 1.90 .1804 1 0.92 1.91 .1805 3 0.92 1.85 .1806 1 0.92 2.00 .1807 1 0.92 2.02 .1808 1 0.92 1.89 .1809 1 0.92 1.93 .1810 1 0.92 1.79 .1811 1 0.92 1.84 .1812 1 0.92 1.81 .1813 2 0.92 1.88 .1814 1 0.92 1.94 .1815 1 0.92 1.89 .1816 1 0.92 1.96 .1817 1 0.92 1.88 .1818 3 0.92 1.87 .1819 1 0.92 1.90 .1820 1 0.92 1.95 .1821 2 0.92 1.84 .1822 1 0.92 1.88 .1823 1 0.92 1.93 .1824 3 0.92 1.82 .1825 1 0.92 1.99 .1826 2 0.92 1.83 .1827 2 0.92 2.05 .1828 2 0.92 1.94 .1829 1 0.92 1.93 .1830 2 0.92 1.85 .1831 1 0.92 1.85 .1832 2 0.92 1.89 .1833 1 0.92 1.79 .1834 1 0.92 1.91 .1835 1 0.92 1.96 .1836 3 0.92 1.99 .1837 2 0.92 1.96 .1838 2 0.92 1.87 .1839 2 0.92 1.98 .1840 3 0.92 2.09 .1841 1 0.92 2.08 .1842 4 0.92 2.08 .1843 5 0.92 2.03 .1844 4 0.92 2.19 .1845 3 0.92 1.99 .1846 2 0.92 1.84 .1847 1 0.92 1.94 .1848 1 0.92 1.86 .1849 1 0.92 1.87 .1850 1 0.92 1.84 .1851 1 0.92 1.91 .1852 3 0.92 1.82 .1853 3 0.92 1.93 .1854 3 0.92 1.87 .1855 1 0.92 1.76 .1856 1 0.92 1.73 .1857 1 0.92 1.78 .1858 1 0.92 1.89 .1859 1 0.92 1.80 .1860 2 0.92 1.86 .1861 2 0.92 1.83 .1862 2 0.92 1.77 .1863 2 0.92 1.75 .1864 3 0.92 1.86 .1865 1 0.92 1.87 .1866 1 0.92 1.85 .1867 2 0.92 1.82 .1868 1 0.92 1.93 .1869 1 0.92 1.90 .1870 2 0.92 1.83 .1871 3 0.92 1.99 .1872 1 0.92 1.90 .1873 1 0.92 1.86 .1874 1 0.92 1.96 .1875 2 0.92 2.03 .1876 1 0.92 1.95 .1877 1 0.92 1.91 .1878 1 0.92 2.12 .1879 2 0.92 1.91 .1880 1 0.92 1.82 .1881 1 0.92 1.87 .1882 3 0.92 1.91 .1883 3 0.92 1.81 .1884 1 0.92 2.04 .1885 1 0.92 1.95 .1886 1 0.92 1.89 .1887 4 0.92 1.96 .1888 1 0.92 1.92 .1889 1 0.92 2.00 .1890 1 0.92 1.96 .1891 2 0.92 1.90 .1892 1 0.92 1.93 .1893 1 0.92 1.91 .1894 1 0.92 2.20 .1895 1 0.92 2.01 .1896 2 0.92 2.00 .1897 1 0.92 1.92 .1898 2 0.92 1.83 .1899 2 0.92 1.81 .1900 2 0.92 1.95 .1901 3 0.92 1.86 .1902 3 0.92 1.94 .1903 3 0.92 2.05 .1904 2 0.92 1.98 .1905 3 0.92 2.03 .1906 3 0.92 1.95 .1907 1 0.92 1.92 .1908 2 0.92 1.91 .1909 3 0.92 1.94 .1910 1 0.92 1.90 .1911 2 0.92 1.92 .1912 1 0.92 1.86 .1913 3 0.92 2.04 .1914 6 0.92 1.89 .1915 4 0.92 1.92 .1916 3 0.92 1.92 .1917 3 0.92 2.02 .1918 3 0.92 1.94 .1919 1 0.92 1.90 .1920 2 0.92 1.75 .1921 2 0.92 1.90 .1922 2 0.92 1.77 .1923 2 0.92 1.87 .1924 3 0.92 1.69 .1925 3 0.92 1.72 .1926 3 0.92 1.98 .1927 6 0.92 1.79 .1928 3 0.92 1.81 .1929 1 0.92 1.80 .1930 1 0.92 1.72 .1931 2 0.92 1.72 .1932 1 0.92 1.83 .1933 1 0.92 1.78 .1934 2 0.92 1.82 .1935 3 0.92 1.69 .1936 1 0.92 1.69 .1937 1 0.92 1.84 .1938 1 0.92 1.76 .1939 1 0.92 1.82 .1940 1 0.92 1.82 .1941 2 0.92 1.71 .1942 3 0.92 1.83 .1943 1 0.92 1.84 .1944 2 0.92 1.76 .1945 1 0.92 1.81 .1946 2 0.92 1.75 .1947 1 0.92 1.72 .1948 1 0.92 1.71 .1949 4 0.92 1.71 .1950 1 0.92 1.71 .1951 1 0.92 1.89 .1952 1 0.92 1.81 .1953 1 0.92 1.79 .1954 3 0.92 1.86 .1955 1 0.92 1.90 .1956 1 0.92 1.86 .1957 1 0.92 1.75 .1958 1 0.92 1.85 .1959 1 0.92 1.84 .1960 2 0.92 1.96 .1961 2 0.92 1.93 .1962 2 0.92 1.95 .1963 1 0.92 1.86 .1964 1 0.92 1.91 .1965 1 0.92 1.91 .1966 4 0.92 1.74 .1967 2 0.92 1.81 .1968 2 0.92 1.71 .1969 2 0.92 1.83 .1970 3 0.92 1.84 .1971 3 0.92 1.86 .1972 3 0.92 1.82 .1973 3 0.92 1.85 .1974 2 0.92 1.83 .1975 1 0.92 1.82 .1976 1 0.92 1.71 .1977 1 0.92 1.77 .1978 1 0.92 1.81 .1979 1 0.92 1.80 .1980 3 0.92 1.85 .1981 4 0.92 1.74 .1982 3 0.92 1.79 .1983 3 0.92 1.65 .1984 2 0.92 1.69 .1985 3 0.92 1.81 .1986 2 0.92 1.79 .1987 3 0.92 1.76 .1988 2 0.92 1.84 .1989 1 0.92 1.62 .1990 2 0.92 1.86 .1991 2 0.92 1.87 .1992 2 0.92 1.86 .1993 2 0.92 1.74 .1994 3 0.92 1.72 .1995 3 0.92 1.75 .1996 2 0.92 1.76 .1997 2 0.92 1.82 .1998 1 0.92 1.91 .1999 2 0.92 1.76 .2000 3 0.92 1.79 .2001 3 0.92 1.73 .2002 1 0.92 1.91 .2003 1 0.92 1.75 .2004 2 0.92 1.91 .2005 3 0.92 1.77 .2006 1 0.92 1.81 .2007 2 0.92 1.72 .2008 2 0.92 1.76 .2009 2 0.92 1.80 .2010 2 0.92 1.80 .2011 1 0.92 1.82 .2012 3 0.92 1.75 .2013 3 0.92 1.73 .2014 1 0.92 1.77 .2015 1 0.92 1.75 .2016 2 0.92 1.71 .2017 5 0.92 1.76 .2018 2 0.92 1.71 .2019 2 0.92 1.84 .2020 2 0.92 1.71 .2021 2 0.92 1.77 .2022 2 0.92 1.75 .2023 2 0.92 1.79 .2024 1 0.92 1.76 .2025 2 0.92 1.72 .2026 1 0.92 1.66 .2027 1 0.92 1.65 .2028 1 0.92 1.66 .2029 1 0.92 1.79 .2030 1 0.92 1.82 .2031 1 0.92 1.70 .2032 1 0.92 1.76 .2033 1 0.92 1.81 .2034 1 0.92 1.72 .2035 2 0.92 1.75 .2036 4 0.92 1.73 .2037 2 0.92 1.75 .2038 1 0.92 1.68 .2039 1 0.92 1.82 .2040 1 0.92 1.73 .2041 3 0.92 1.78 .2042 3 0.92 1.69 .2043 2 0.92 1.81 .2044 2 0.92 1.83 .2045 2 0.92 1.81 .2046 1 0.92 1.76 .2047 3 0.92 1.68 EXTRACT_IMAGE: sdR-r1-00034752.fit: masked 2342 pixels DIVIDEFLAT: sdR-r1-00034752.fit: Warning: Reject 243 low points in trace 45 DIVIDEFLAT: sdR-r1-00034752.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034752.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034752.fit: Warning: Reject 529 low points in trace 173 DIVIDEFLAT: sdR-r1-00034752.fit: Warning: Reject 668 low points in trace 174 DIVIDEFLAT: sdR-r1-00034752.fit: Warning: Reject 1051 low points in trace 249 DIVIDEFLAT: sdR-r1-00034752.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034752.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034752.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034752.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034752.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034752.fit: WARNING: sky shift reference line, sigma 7794.1200 0.060393619 LOCATESKYLINES_2: sdR-r1-00034752.fit: sky shift reference line, offset: 7794.1200 0.072358178 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 8 6.2937084 283.49357 0.32116554 0.97523281 944.54723 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 17 2.8518353 266.55442 0.30815699 0.93107253 885.10407 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 28 2.8877075 227.40460 0.31843215 0.98249635 924.28631 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 32 3.5882083 264.16857 0.31207198 0.91653571 895.02710 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 43 4.6574219 292.34628 0.30420238 0.98427683 883.24046 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 44 5.9149213 299.24891 0.25605371 1.0080946 925.04267 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 70 3.5022460 278.39815 0.32166069 0.99318105 937.50691 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 78 7.0615881 326.91228 0.28500183 0.98061594 787.86289 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 89 8.9138418 287.97359 0.28911758 0.96925521 896.37221 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 95 4.0847989 329.94281 0.34639063 0.95423895 857.09391 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 101 2.3208276 304.55962 0.24277152 0.99625110 939.12648 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 123 5.0312356 293.36812 0.32388110 1.0008489 837.71431 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 124 4.7293807 334.93427 0.38033825 0.86227326 925.93476 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 126 7.1554305 330.87372 0.31824089 0.94073235 904.35916 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 134 5.8922774 344.89975 0.21632271 0.93251095 893.81823 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 156 10.912904 332.65845 0.24941707 0.93038008 887.16341 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 203 8.2981576 323.23686 0.23700775 0.92381431 917.53671 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 216 6.5100172 286.98731 0.28995900 1.0085011 921.80253 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 218 4.1047693 289.39067 0.25201586 0.97884142 943.50214 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 245 11.828289 326.18771 0.32671963 0.93965134 923.23947 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 255 10.400812 327.53597 0.25497870 0.90408217 876.71277 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 262 3.1422743 259.98071 0.35295180 0.91580228 935.43878 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 267 2.3897010 246.37765 0.34845830 0.94206509 899.65306 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 273 4.3694681 286.58493 0.24769439 0.92708001 911.90356 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 283 8.7371019 299.08694 0.31074568 0.96625944 954.64198 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 289 6.5591997 353.92807 0.31322690 0.90870296 895.57957 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 311 7.1702128 303.17669 0.32319491 0.93201893 912.88458 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 314 7.7394912 319.80541 0.24141824 0.95012093 937.11375 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 0 317 5.5608217 297.79255 0.28066653 0.99402461 938.17006 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 0 3.6992415 0.00054267515 0.29333078 0.95272015 0.99828232 LOCATESKYLINES_2: sdR-r1-00034752.fit: sigma-clipped to 252 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034752.fit: comb2 l,chi^2/dof,fit: 0 2.9576082 -0.0084970031 0.29326498 0.96491676 1.0046278 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 252 of 261 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.3656230.2932650.006937 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 8 2.2963173 261.24403 0.50138791 0.82873806 233.10407 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 17 2.5517250 208.51090 0.26250586 0.92961387 297.63690 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 28 3.0950690 240.70738 0.52437043 0.89443567 279.72882 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 32 0.88744988 230.48212 0.34215811 0.99098854 271.16461 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 43 1.3501668 250.30763 0.26538256 0.84708990 351.32797 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 44 1.6479982 280.18578 0.46647750 0.85381949 299.87335 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 70 2.0198622 272.13566 0.24879823 1.0018993 308.03423 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 78 1.8564254 277.55863 0.32658513 0.98919933 227.66513 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 89 1.8433627 257.08437 0.37443296 1.0797990 305.64736 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 95 0.94954593 322.28176 0.39629904 0.72644534 279.34765 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 101 1.0810137 301.71404 0.22580752 0.98974349 293.25034 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 123 3.5425007 286.94060 0.24096965 0.91444459 303.79298 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 124 1.5502874 321.36379 0.32741155 0.71617100 251.19306 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 126 0.50661870 306.46215 0.17894901 0.91761894 282.45048 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 134 2.5394676 314.30189 0.23465016 0.93793950 325.83275 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 156 0.70800450 297.01523 0.38400459 0.79814953 351.06353 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 203 1.3887207 269.63982 0.23056140 1.1414717 302.86920 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 216 2.6641687 286.77153 0.40575998 0.90758234 350.70797 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 218 3.1276371 289.99165 0.31014697 0.95210783 287.70066 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 245 0.81549081 304.69531 0.15086561 0.96307518 328.56080 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 255 2.1212692 291.75519 0.31466293 1.0725965 256.99204 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 262 1.9300741 243.32758 0.43223972 0.87069052 307.37448 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 267 1.6797027 229.39031 0.42607484 0.99387180 321.84160 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 273 0.94964503 275.71548 0.34993080 0.89395148 262.45102 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 283 0.42910803 295.15501 0.27228257 0.78748613 264.71090 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 289 1.5205862 301.14039 0.20623712 0.92640371 315.60791 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 311 2.4028457 256.75352 0.34298556 0.93395531 353.33145 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 314 1.7390178 311.65340 0.22366961 0.88579759 323.87217 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 1 317 0.58011309 307.40336 0.41446694 0.76422499 320.21329 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 1 1.3032085 0.00076953474 0.31732242 0.92307822 0.98431847 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.3896810.3173220.017184 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 8 0.85396107 211.36947 0.12517958 0.84600287 108.97550 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 17 2.0456005 118.81180 -0.28287173 2.0000000 124.76117 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 28 1.3561086 161.59428 -0.67823704 1.4664253 91.547046 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 32 1.6981762 147.77959 -0.35102295 1.3857148 129.16631 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 43 0.83722666 184.91316 0.095643999 1.6059341 115.92175 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 44 2.1546756 204.56651 -0.055477596 0.90448631 138.59713 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 70 61.541172 226.44750 -1.0000000 0.60000000 915.08907 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 78 2.2622438 237.44778 0.17846083 0.86706836 133.84716 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 89 0.94287188 198.11592 -0.44049149 2.0000000 118.58140 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 95 2.0094014 235.21431 0.30811378 0.69046368 133.29989 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 101 0.56978954 278.61504 0.24540392 0.76206867 93.288209 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 123 2.7916982 285.85053 0.27504151 0.89078534 80.326447 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 124 1.2945368 236.81689 -1.0000000 2.0000000 69.789563 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 126 1.0939821 257.10164 0.57305821 1.3086517 82.609576 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 134 1.4526359 252.23371 -0.042767873 0.82926896 114.21567 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 156 0.43215802 272.89037 -0.23740967 1.3476139 73.749994 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 203 1.5103854 248.66991 -0.13067375 0.96792392 113.23925 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 216 0.38990904 244.97679 0.089845466 1.1048259 108.67498 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 218 1.3997335 256.94049 0.16948806 0.60000000 125.16356 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 245 0.92804051 259.74361 -1.0000000 2.0000000 61.947742 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 255 0.50097323 267.51337 0.43461398 1.2788976 69.898464 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 262 0.80816823 237.14745 0.21462547 0.99595575 99.794128 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 267 1.3622713 223.29360 0.16723726 0.75988105 94.483609 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 273 2.0516771 235.26233 0.53736770 0.71863837 109.12604 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 283 0.72359552 240.73175 -0.50707968 1.0704592 110.81357 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 289 1.7714201 237.88356 -0.89974140 2.0000000 117.69207 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 311 2.0200677 239.37091 -0.67250941 1.6190218 106.79231 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 314 1.2236138 252.01085 -0.95450508 2.0000000 98.919046 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 2 317 0.99773954 253.34526 -0.95164576 2.0000000 85.811617 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 2 0.78670377 0.030665353 0.043159584 0.99835390 0.92789861 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 180 of 180 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.1155180.0431600.056988 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 8 0.44754298 204.44689 0.45097179 1.1781059 149.98533 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 17 1.7563471 169.04357 0.36329321 1.1774981 152.19020 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 28 0.47672234 207.18604 0.27413367 0.98175380 166.62228 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 32 0.68293096 217.22558 0.51898728 1.0283459 125.45913 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 43 1.8876589 246.76570 0.61471666 0.95834493 173.22052 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 44 2.0566373 265.67867 0.12845100 0.97133344 176.84210 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 70 1.2992090 258.36599 0.26141010 0.93320663 206.61560 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 78 1.8824541 246.19902 0.16183958 1.0160225 173.37740 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 89 2.7934351 251.81985 0.44258332 0.68895235 172.78998 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 95 0.72663095 260.75143 0.29870603 0.82276581 223.75771 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 101 1.1905109 299.20556 0.22772825 0.74537340 188.57950 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 123 0.80980583 282.88569 0.45357560 0.93401935 198.19041 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 124 2.0547415 294.32387 0.42135844 0.85077106 167.05721 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 126 1.2378408 303.82728 0.30866711 0.60000000 214.23525 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 134 0.85088941 278.71969 0.17832198 1.1441299 171.50095 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 156 0.75536626 306.34372 0.31966739 0.93258222 162.42140 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 203 0.91425183 282.83678 0.49015637 0.87193229 128.32634 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 216 2.1093230 284.19292 0.60529851 0.83514011 189.05587 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 218 0.34212506 296.31752 0.28915172 0.60000000 236.02717 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 245 0.54569171 295.29288 0.24176789 1.0083301 186.45871 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 255 1.3289812 287.28303 0.42038309 0.99106899 163.44144 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 262 0.36928447 248.96460 0.20792816 0.89410144 149.41012 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 267 1.5123471 168.69722 0.88935304 1.8598459 200.96260 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 273 1.1271076 248.95386 0.29181706 0.86010934 218.92419 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 283 2.2178870 260.14612 0.25936464 1.4148082 162.75024 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 289 1.3639470 273.29742 0.086623246 1.0758447 196.13468 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 311 0.13103091 299.31924 0.38135801 1.0559135 141.95010 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 314 0.59025004 316.28182 0.33516222 1.1000658 158.11777 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 3 317 1.2977560 296.02915 -0.049417213 0.94493219 203.56138 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 3 1.0175439 0.012310199 0.31168498 0.97652578 0.96779585 LOCATESKYLINES_2: sdR-r1-00034752.fit: sigma-clipped to 242 of 243 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034752.fit: comb2 l,chi^2/dof,fit: 3 0.94533713 0.0082654677 0.30982808 0.97777554 0.97266481 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 242 of 243 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.3821860.3098280.030956 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 8 1.2318535 242.08297 0.67934002 0.73573765 140.28049 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 17 1.1815433 193.46756 0.36335562 1.2222536 150.54245 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 28 1.0919631 224.11465 0.11617637 0.94625669 184.33635 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 32 0.38144374 185.61148 0.46245152 1.3773981 182.64333 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 43 3.2315893 252.96978 0.69106434 1.0368146 194.99460 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 44 2.2886658 260.35466 0.51656718 0.91332473 194.83267 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 70 0.85170792 285.09899 0.33180238 0.81992355 176.01649 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 78 0.72227986 270.21849 0.48761398 1.0385684 141.44864 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 89 0.72836891 252.60107 0.33247676 0.91190603 206.46936 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 95 0.48781011 286.24420 0.65943284 1.0589903 185.08701 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 101 1.3816638 312.83434 0.15839580 0.87834221 196.90184 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 123 1.2339401 298.72925 0.48304278 0.79822210 211.12677 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 124 0.89870382 288.18865 0.61218438 0.95464130 223.72324 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 126 1.3976622 272.06145 0.60971021 1.2145067 193.99429 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 134 0.57402372 274.37116 0.46468110 1.0144481 223.86383 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 156 0.60374751 293.08641 0.19889440 1.0223713 212.34220 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 203 2.4753295 310.92559 0.21421487 0.68722110 221.63363 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 216 0.17332253 287.74384 0.26210122 0.92101407 230.80332 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 218 0.40575920 307.38006 0.29422336 0.88566354 206.91138 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 245 2.0702522 324.30645 0.45257253 0.66251043 213.20969 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 255 2.9551021 302.14537 0.47483494 0.71534322 187.30783 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 262 1.1156885 263.90217 0.31722382 0.60000000 173.48233 LOCATESKYLINES_2: sdR-r1-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 267 2.5379656 255.76876 0.34982701 0.69795679 180.85453 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 273 0.29964858 258.00975 0.10758120 1.0753842 144.39152 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 283 1.2346209 289.08077 0.43919990 0.87288109 220.47627 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 289 0.95686932 275.91163 0.33472082 0.76255604 222.49016 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 311 2.2272043 298.18635 0.46831044 0.98743304 177.24673 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 314 0.68427334 339.53313 0.46253320 0.84103645 181.69349 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 4 317 0.79669909 310.99898 0.32132191 1.0294406 174.50956 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 4 1.0202242 0.0023509578 0.39003510 0.93859291 0.96387015 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 252 of 252 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.4623930.3900350.027679 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 8 0.87848243 222.03487 0.53050780 0.94692000 184.48253 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 17 2.2088177 214.16006 0.29707520 0.67344130 267.65528 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 28 1.1592567 187.61799 0.42135302 1.3235311 223.20296 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 32 0.53133631 203.02276 0.28034889 1.1860191 226.22718 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 43 0.62838908 245.35529 0.52009541 0.86939157 226.29868 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 44 0.19594774 267.49202 0.47214388 0.95057375 250.88017 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 70 0.56142402 272.03374 0.47365992 0.81947639 232.56123 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 78 0.35276665 278.45370 0.49226648 0.98405402 233.84097 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 89 1.2996285 246.04778 0.50407639 1.1430558 230.82384 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 95 1.6416646 258.61760 0.53463462 0.99899066 235.14687 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 101 0.79962203 285.83668 0.26830752 0.84295245 240.50154 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 123 1.2854246 278.41056 0.41334620 1.0159684 251.41124 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 124 0.49792191 256.40263 0.32296631 1.1974374 280.69482 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 126 1.0119842 294.93482 0.21648894 0.94470621 246.46444 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 134 0.68175051 307.24441 0.40622962 0.93615761 239.66568 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 156 1.4379381 294.05558 0.39036403 1.0951789 212.61265 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 203 0.10411767 286.33636 0.40976237 1.0040866 195.12382 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 216 0.47187831 264.92504 0.37470204 1.0838071 277.79877 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 218 0.99664073 308.66444 0.50290092 0.96065963 286.81404 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 245 2.2351019 260.14277 0.24001062 1.2583144 246.16469 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 255 0.83989073 266.14855 0.49923355 0.79579251 257.07391 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 262 1.3706450 229.60963 0.25960419 0.97192327 242.65259 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 267 0.73613738 242.32799 0.41426579 0.81081594 206.16573 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 273 1.8375965 255.81973 0.14076466 0.76113380 218.01876 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 283 1.5419354 275.95882 0.49594725 0.81894756 267.04690 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 289 1.6329316 248.02641 0.25814578 1.1419638 241.61423 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 311 0.31938039 287.16761 0.21680110 0.86120641 211.70527 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 314 1.1228272 298.36188 0.25365375 0.81217543 297.94561 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 5 317 0.65555420 292.33560 0.22261429 0.94027280 282.58124 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 5 0.92501771 0.0051104552 0.37150107 0.96770357 0.97869198 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.4438590.3715010.022983 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 8 0.79317797 195.40465 0.39598788 0.92254732 464.78870 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 17 1.2300718 182.06549 0.24735682 0.92367425 501.04975 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 28 0.34575818 179.78926 0.39252652 0.94962724 504.45816 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 32 1.0976577 178.74773 0.35140335 0.96280002 474.15384 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 43 1.4565469 234.52599 0.24951317 0.82166784 534.12416 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 44 0.14931416 230.81859 0.41176129 1.0620569 470.62755 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 70 0.42320020 229.70698 0.28839235 0.92637523 524.29172 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 78 3.0296667 241.22691 0.45205468 0.92761140 500.50521 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 89 1.3693748 222.18231 0.23514303 0.95976337 502.90346 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 95 0.79135143 232.78168 0.29763331 0.97832250 515.44632 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 101 2.3979774 263.88311 0.24122663 0.98292286 489.32294 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 123 5.5311389 263.09588 0.17983722 0.93209546 553.23289 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 124 1.6797424 273.06802 0.30690213 0.92727610 506.55687 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 126 1.3141794 249.99578 0.13111739 0.99440735 541.07463 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 134 0.81657730 252.36018 0.18689741 0.96734294 541.28804 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 156 1.1285411 280.73128 0.22414793 0.99852717 421.05391 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 203 1.4053005 237.95596 0.20906132 1.0069510 460.67328 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 216 1.3923855 254.62658 0.14183947 0.96673122 463.13805 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 218 1.6869092 242.09678 0.17043291 0.99596422 462.47643 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 245 1.3006242 264.70997 0.39080689 0.95884950 463.73120 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 255 1.4222999 217.67450 0.35426419 1.0854066 471.97639 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 262 0.14919509 215.53481 0.28420335 0.93001918 424.31195 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 267 1.4620914 190.39436 0.23174231 0.89642933 444.39733 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 273 0.87068933 207.05372 0.23002356 1.0042168 516.47721 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 283 1.0940317 224.79965 0.21207132 0.95571991 504.71900 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 289 0.26566188 243.90719 0.16002734 0.91238883 536.52027 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 311 2.2610589 239.46580 0.27761361 0.86112802 522.76256 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 314 0.74827251 267.97210 0.24505024 0.98232090 545.80987 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 6 317 0.54554490 267.71365 0.28164284 0.95484236 461.11450 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 6 1.0547831 0.0015002983 0.26374073 0.95256091 0.99525284 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.3360990.2637410.012179 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 8 1.8628062 176.72716 0.38330471 0.95785565 578.83505 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 17 0.88268094 152.90571 0.30480078 0.93794975 626.99377 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 28 2.0238937 155.94732 0.34016182 1.0385167 574.83983 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 32 1.2225265 158.43037 0.26705974 1.0350588 569.39587 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 43 0.87572349 202.06004 0.36124277 0.96797060 643.98113 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 44 0.94206864 248.66363 0.40572741 0.90629766 578.30720 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 70 2.3208058 239.03160 0.27612240 0.93818213 619.80230 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 78 0.66532346 240.65486 0.30133384 0.94339041 571.84998 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 89 2.4944948 227.20864 0.30277821 1.0138947 618.96891 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 95 0.85215869 228.80487 0.30345097 0.89035518 682.26224 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 101 3.8263339 258.86366 0.33069190 0.88257481 624.79560 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 123 2.0877450 259.66052 0.27538155 0.86050507 662.20479 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 124 3.0304643 256.71232 0.30606803 0.89502673 656.07767 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 126 0.46323213 248.25767 0.27985854 0.90394443 673.38179 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 134 1.6162252 238.81221 0.29130631 0.96935158 642.19928 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 156 3.1265773 278.53846 0.27980058 0.87516207 609.01603 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 203 4.1903099 246.74002 0.36331151 0.90078626 604.64140 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 216 2.7825665 260.60353 0.21934894 0.92892295 636.39529 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 218 2.3114441 268.68512 0.29896968 0.89196141 561.00743 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 245 0.92709937 255.69431 0.17939737 0.80935237 687.22487 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 255 1.5105490 223.44648 0.24351467 1.0349776 636.74635 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 262 0.86418989 225.70104 0.23289043 0.87387901 651.43936 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 267 0.93965757 138.53500 0.26981515 1.0810012 618.12684 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 273 2.2723298 194.35962 0.28014820 0.84157690 643.85161 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 283 0.57762626 238.27570 0.35906992 0.91457366 620.37042 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 289 0.59483618 246.01448 0.18691774 0.90951827 605.26375 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 311 2.9785775 245.99030 0.35514259 0.86527527 656.83335 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 314 2.5202983 267.53962 0.29976183 0.86563124 601.27643 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 7 317 0.64105746 285.22141 0.18735187 0.94591101 547.05077 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 7 1.4112948 0.00096926398 0.28869741 0.92099593 0.99519747 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.3610560.2886970.009895 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 8 1.3019104 102.81727 0.33818973 0.98634876 681.44108 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 17 1.8276477 92.431644 0.34693956 1.0096250 716.96003 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 28 1.3207893 80.001991 0.29078267 0.92813458 740.26842 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 32 1.1178552 87.284458 0.30108006 0.85139440 730.46501 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 43 0.22624940 97.060087 0.38342362 1.0053712 714.91622 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 44 1.0344105 131.14172 0.38079296 0.93338831 785.51413 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 70 0.87439189 140.02075 0.24744206 0.92083214 744.51939 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 78 0.55715131 143.65141 0.29036439 0.92712368 708.16944 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 89 0.76721368 123.54585 0.36351465 0.99021909 718.73130 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 95 1.8304711 115.90350 0.18571068 1.0073065 705.71195 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 101 0.84385118 159.66684 0.36396002 0.96480001 688.07458 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 123 1.4839982 144.70648 0.31027206 0.97144216 718.16806 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 124 7.5348705 134.88339 0.32641554 0.97996281 741.39102 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 126 0.71972892 159.66865 0.42906434 0.87234483 754.32320 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 134 2.8296933 156.43393 0.33171542 0.80561841 848.18066 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 156 1.6604541 164.74245 0.34453816 0.90560397 745.05629 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 203 0.37502334 139.10060 0.32317748 0.87941199 745.03017 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 216 1.9973173 116.99739 0.29234166 0.92120095 772.29561 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 218 1.5946105 124.49656 0.30714178 0.88625834 756.11939 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 245 0.98047730 126.45273 0.23804156 0.96550564 811.09318 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 255 1.3998036 105.39578 0.31860772 1.0417069 739.77336 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 262 1.0632813 97.196684 0.34018105 1.0073559 735.92158 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 267 0.19970820 57.441914 0.24504992 1.0341098 700.85977 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 273 3.3357217 77.976781 0.32528569 0.83834942 797.47268 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 283 1.0394777 104.33534 0.38474963 0.96158950 744.05870 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 289 1.1072015 113.17619 0.33983159 0.94076265 787.79152 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 311 1.2683844 123.12681 0.15598607 0.94759920 746.50238 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 314 1.8442467 147.39026 0.33924100 0.96303807 711.98396 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 8 317 2.2313107 149.93179 0.29786671 0.85965589 762.69395 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 8 1.4152714 0.0010761754 0.31687074 0.93431814 0.99598374 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 260 of 260 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.3892290.3168710.008117 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 8 1.1519753 92.697281 0.29660372 0.93238648 867.94743 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 17 3.5766910 118.89440 0.37097154 0.97146751 833.72496 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 28 2.0595867 70.367108 0.30832835 1.0150284 826.47195 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 32 1.7696756 77.346571 0.29016363 0.92958054 827.69604 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 43 0.39604103 110.38573 0.34009862 0.95065400 843.58525 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 44 0.22374266 122.45077 0.29201338 1.0416645 840.49237 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 70 1.5842114 139.50165 0.26867661 0.97042135 765.54754 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 78 1.6424372 134.29059 0.33653358 0.95197630 859.77358 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 89 1.1884526 103.41676 0.27489809 1.0534197 825.59081 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 95 2.6805794 122.76353 0.34060435 1.0029238 820.43285 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 101 0.82659714 153.25627 0.35215883 0.94332567 836.70751 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 123 3.3091875 168.50347 0.32683929 0.93451528 811.88789 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 124 0.78169397 187.18853 0.37049164 0.96541320 842.87386 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 126 3.8760184 177.30850 0.31605602 0.88410820 809.75932 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 134 1.0451293 139.50076 0.30537124 0.96851333 871.10015 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 156 2.0774262 141.15361 0.26986609 0.92895041 812.96924 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 203 3.7379274 117.79854 0.23072213 0.96315012 832.89905 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 216 1.9292871 132.93426 0.25210801 0.98392924 814.06677 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 218 1.1725285 112.87479 0.31837720 0.92894380 889.00094 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 245 2.2644470 116.32239 0.30551586 0.99687913 847.94227 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 255 0.18780881 143.92122 0.29176208 0.92142928 844.98257 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 262 1.3781568 94.035446 0.40128073 0.97214543 736.10025 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 267 1.6444221 71.484263 0.21629806 1.0314035 790.55206 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 273 1.2368703 81.811190 0.34307335 0.92877177 853.26984 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 283 1.9444395 99.900224 0.23551644 1.0212323 781.01181 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 289 0.67657063 129.45532 0.27803488 0.91578512 858.48292 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 311 1.8479107 113.84415 0.32745019 0.87590402 911.58143 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 314 3.3828984 116.93651 0.29334260 0.98963514 874.58526 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 9 317 0.77851956 147.10928 0.34459367 0.95788286 888.01693 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 9 1.3275325 0.00040222040 0.30799111 0.95943920 0.99777486 LOCATESKYLINES_2: sdR-r1-00034752.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034752.fit: comb2 l,chi^2/dof,fit: 9 1.2464607 0.00051317228 0.31020948 0.96241707 0.99642917 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.3825680.3102090.007519 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 8 1.4738394 35.632287 0.38995775 1.0083929 748.36922 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 17 2.7290446 36.802080 0.40318134 1.0581643 728.82754 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 28 0.61482741 58.820499 0.29513871 0.93126368 762.27560 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 32 1.6881145 37.505910 0.37734786 0.99238407 794.67176 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 43 0.55920766 68.011678 0.28410889 1.0562323 731.43672 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 44 0.64861044 84.755548 0.32280707 0.99632867 796.97056 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 70 1.4918682 59.625594 0.26962736 1.0019292 786.82752 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 78 0.32954814 64.523593 0.23249333 0.98591249 774.33482 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 89 0.98331887 72.405276 0.39386411 0.93071273 767.74744 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 95 0.28046333 60.567553 0.37070779 1.0544482 753.49497 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 101 3.0827867 69.162215 0.31960738 1.0002911 766.79255 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 123 1.4452919 86.606048 0.34124657 0.93123662 834.24025 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 124 0.68881340 80.971106 0.39329436 0.93616184 795.25648 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 126 1.5330116 91.555974 0.39762457 0.95769996 776.18065 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 134 1.0973672 73.862480 0.33809725 0.97265025 767.34707 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 156 0.60068839 96.198959 0.32787702 1.0085549 729.73656 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 203 1.8951990 50.201225 0.33213761 0.98365027 793.73405 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 216 0.85377979 60.976171 0.30860984 1.0232469 771.87897 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 218 0.72765112 67.527009 0.28233038 0.94522739 755.56375 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 245 1.0030224 74.203644 0.36090576 0.99037663 735.31898 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 255 0.87804929 63.180430 0.32933591 0.85473629 793.78920 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 262 2.0971864 33.522238 0.33767123 0.92991856 755.73149 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 267 1.6854901 19.063575 0.43662678 0.98894146 729.51708 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 273 0.91971671 31.587455 0.36507315 0.90607620 721.86896 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 283 2.4599116 45.711990 0.39622873 0.97669995 781.78792 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 289 1.7602707 57.621781 0.28336066 0.97639804 797.12776 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 311 1.7538684 31.035788 0.30757997 0.98423437 753.85269 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 314 1.1882583 42.035386 0.26169012 1.0729390 736.52653 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 10 317 0.84362387 63.166375 0.28488923 0.98764638 797.47504 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 10 1.1395764 0.00066676914 0.33301475 0.97841468 0.99723599 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.4053730.3330150.007732 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 8 0.97745341 55.069044 0.38896686 0.96587542 875.88220 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 17 0.57545170 39.773349 0.34776363 0.92011579 868.60879 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 28 1.4959565 38.443888 0.34937511 0.92093666 867.02979 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 32 0.30781744 40.024971 0.40599731 0.92929324 840.81573 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 43 1.0143736 66.861017 0.32917309 0.93909774 871.26892 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 44 1.4344385 61.394269 0.25998341 1.0273734 880.01512 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 70 1.6484830 81.682912 0.34351886 0.93104607 846.13718 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 78 1.0433554 59.906908 0.31561248 0.96204615 890.91424 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 89 0.72823282 71.711234 0.36103124 0.92455539 867.43391 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 95 0.79874664 96.899445 0.23793236 0.90475385 878.49046 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 101 0.56872139 93.694396 0.22387825 0.98319525 851.29498 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 123 1.4710252 84.068846 0.37038412 0.93799240 888.68848 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 124 2.8568505 67.811539 0.32732042 0.97193117 896.60957 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 126 1.4741927 80.424221 0.34543019 0.98352680 968.72518 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 134 1.3829163 102.47942 0.28042561 0.88271621 905.03164 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 156 1.1545311 103.26986 0.31332135 0.95899316 904.20730 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 203 2.1801166 53.812267 0.36085931 0.95360386 877.54413 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 216 1.8506151 44.729573 0.35859156 1.0138011 896.70208 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 218 0.39452730 59.627354 0.35985755 0.97397396 919.33540 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 245 1.3061097 61.717297 0.30162204 1.0777552 887.47251 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 255 1.0501516 82.558746 0.31934282 0.88857999 866.04715 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 262 1.0511561 27.149006 0.34900563 1.0035029 791.49868 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 267 0.79823154 28.399902 0.36148575 0.99950395 790.99159 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 273 0.79345342 22.473012 0.41154894 0.95112125 893.60976 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 283 0.77593587 46.298076 0.45639181 0.93514441 937.25263 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 289 1.2388177 61.339790 0.35399584 1.0743980 843.85578 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 311 1.6523219 61.397259 0.25736087 0.96245969 901.61534 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 314 1.1875485 61.373844 0.32049494 1.0210237 811.11269 LOCATESKYLINES_2: sdR-r1-00034752.fit: l,f,chi^2/dof,c: 11 317 0.77233627 81.731438 0.34534893 0.99218406 838.18292 LOCATESKYLINES_2: sdR-r1-00034752.fit: comb1 l,chi^2/dof,fit: 11 1.1894468 0.00060517159 0.33471830 0.96314061 0.99706035 LOCATESKYLINES_2: sdR-r1-00034752.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034752.fit: offset, refoff, sigma: 0.4070760.3347180.006940 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 FITMEANX: sdR-r1-00034752.fit: In skyline number 0 std-dev is 0.031170107 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 1 std-dev is 0.048058586 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 2 std-dev is 0.081895529 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 3 std-dev is 0.046198442 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 4 std-dev is 0.052177780 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 5 std-dev is 0.041391198 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 6 std-dev is 0.051816787 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 7 std-dev is 0.035440902 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 8 std-dev is 0.052010595 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 9 std-dev is 0.036646716 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 10 std-dev is 0.051662015 pix FITMEANX: sdR-r1-00034752.fit: In skyline number 11 std-dev is 0.051468484 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 6300.3040 coadded std-dev is 0.00693673 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 6363.7760 coadded std-dev is 0.0171843 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 6553.6100 coadded std-dev is 0.0569879 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 6923.2100 coadded std-dev is 0.0309560 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 6949.0300 coadded std-dev is 0.0276794 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 7571.7500 coadded std-dev is 0.0229827 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 7794.1200 coadded std-dev is 0.0121790 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 7821.5100 coadded std-dev is 0.00989458 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 8399.1600 coadded std-dev is 0.00811677 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 8430.1700 coadded std-dev is 0.00751874 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 8885.8300 coadded std-dev is 0.00773170 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: In sky feature at 8919.6100 coadded std-dev is 0.00693981 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034752.fit: Median arc shift = 0.37441351 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: Dispersion in arc shift = 0.010924837 pix LOCATESKYLINES_2: sdR-r1-00034752.fit: Maximum sky-line shift is 0.41622684 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Number of sky fibers = 29 ROW NITER SIG(med) CHI^2 .0000 12 0.86 0.96 .0001 5 0.86 0.68 .0002 4 0.86 0.68 .0003 4 0.86 0.70 .0004 7 0.86 0.63 .0005 6 0.86 0.64 .0006 7 0.86 0.73 .0007 16 0.86 0.97 .0008 1 0.86 0.85 .0009 7 0.86 0.67 .0010 2 0.86 0.60 .0011 5 0.86 1.24 .0012 10 0.86 0.55 .0013 6 0.86 0.54 .0014 7 0.86 0.70 .0015 5 0.86 0.66 .0016 4 0.86 0.67 .0017 1 0.86 0.79 .0018 14 0.86 0.96 .0019 11 0.86 0.70 .0020 5 0.86 0.70 .0021 8 0.86 0.69 .0022 7 0.86 0.68 .0023 6 0.86 0.71 .0024 13 0.86 0.82 .0025 6 0.86 0.64 .0026 4 0.86 0.58 .0027 8 0.86 0.77 .0028 1 0.86 0.75 .0029 12 0.86 0.81 .0030 11 0.86 0.72 .0031 3 0.86 0.59 .0032 1 0.86 0.89 .0033 10 0.86 0.54 .0034 3 0.86 0.65 .0035 6 0.86 0.72 .0036 12 0.86 1.04 .0037 6 0.86 0.82 .0038 11 0.86 0.55 .0039 5 0.86 0.57 .0040 5 0.86 0.66 .0041 5 0.86 0.62 .0042 9 0.86 0.70 .0043 1 0.86 0.86 .0044 1 0.86 0.85 .0045 7 0.86 0.56 .0046 7 0.86 0.59 .0047 11 0.86 0.62 .0048 5 0.86 0.61 .0049 6 0.86 0.64 .0050 4 0.86 0.77 .0051 7 0.86 0.68 .0052 5 0.86 0.67 .0053 10 0.86 0.76 .0054 8 0.86 0.69 .0055 13 0.86 0.61 .0056 9 0.86 0.67 .0057 4 0.86 0.71 .0058 11 0.86 0.66 .0059 7 0.86 0.71 .0060 1 0.85 0.75 .0061 1 0.85 0.73 .0062 1 0.85 0.84 .0063 1 0.85 0.81 .0064 1 0.85 0.72 .0065 1 0.85 0.80 .0066 12 0.85 0.70 .0067 2 0.85 0.78 .0068 2 0.85 0.93 .0069 2 0.85 0.73 .0070 3 0.85 0.85 .0071 12 0.85 0.74 .0072 1 0.85 0.79 .0073 1 0.85 0.83 .0074 1 0.85 0.72 .0075 1 0.85 0.89 .0076 9 0.85 0.75 .0077 12 0.85 0.75 .0078 2 0.85 0.93 .0079 12 0.85 0.77 .0080 11 0.83 0.59 .0081 8 0.83 0.74 .0082 8 0.83 0.68 .0083 9 0.83 0.87 .0084 11 0.83 0.72 .0085 6 0.83 0.58 .0086 8 0.83 0.63 .0087 5 0.83 0.68 .0088 8 0.83 0.82 .0089 1 0.83 0.89 .0090 0 0.83 0.00 .0091 1 0.83 0.28 .0092 5 0.83 0.66 .0093 11 0.83 0.78 .0094 17 0.83 1.05 .0095 1 0.83 0.80 .0096 6 0.83 0.67 .0097 7 0.83 0.73 .0098 4 0.83 0.55 .0099 12 0.83 0.79 .0100 2 0.83 0.72 .0101 2 0.83 0.99 .0102 1 0.83 0.93 .0103 2 0.83 0.88 .0104 1 0.83 0.84 .0105 2 0.83 0.93 .0106 1 0.83 0.69 .0107 1 0.83 0.74 .0108 1 0.83 0.75 .0109 1 0.83 0.88 .0110 1 0.83 0.89 .0111 1 0.83 1.01 .0112 2 0.83 0.93 .0113 1 0.83 0.86 .0114 1 0.83 0.77 .0115 2 0.83 0.83 .0116 2 0.83 0.85 .0117 1 0.83 0.85 .0118 1 0.83 0.99 .0119 2 0.83 0.91 .0120 12 0.81 0.89 .0121 11 0.81 0.75 .0122 5 0.81 0.72 .0123 3 0.81 0.94 .0124 2 0.81 0.83 .0125 13 0.81 1.15 .0126 1 0.81 0.94 .0127 8 0.81 0.76 .0128 9 0.81 0.71 .0129 6 0.81 0.68 .0130 10 0.81 0.73 .0131 4 0.81 0.80 .0132 4 0.81 0.70 .0133 13 0.81 1.75 .0134 1 0.81 0.92 .0135 11 0.81 0.60 .0136 10 0.81 0.61 .0137 14 0.81 1.42 .0138 12 0.81 0.77 .0139 12 0.81 1.16 .0140 1 0.82 0.80 .0141 1 0.82 0.69 .0142 1 0.82 0.72 .0143 2 0.82 1.07 .0144 2 0.82 0.94 .0145 1 0.82 0.65 .0146 1 0.82 0.84 .0147 1 0.82 0.69 .0148 2 0.82 0.89 .0149 7 0.82 0.66 .0150 1 0.82 0.92 .0151 1 0.82 0.88 .0152 1 0.82 0.83 .0153 1 0.82 0.87 .0154 2 0.82 1.00 .0155 2 0.82 0.89 .0156 2 0.82 1.01 .0157 2 0.82 0.86 .0158 2 0.82 1.05 .0159 2 0.82 0.79 .0160 2 0.82 1.10 .0161 2 0.82 0.90 .0162 2 0.82 0.92 .0163 2 0.82 1.08 .0164 2 0.82 0.90 .0165 2 0.82 1.14 .0166 1 0.82 1.01 .0167 2 0.82 1.04 .0168 1 0.82 0.91 .0169 1 0.82 1.13 .0170 1 0.82 1.24 .0171 2 0.82 0.83 .0172 2 0.82 1.33 .0173 2 0.82 0.75 .0174 1 0.82 0.45 .0175 2 0.82 1.18 .0176 2 0.82 0.77 .0177 2 0.82 1.08 .0178 3 0.82 0.98 .0179 2 0.82 1.17 .0180 7 0.82 0.76 .0181 1 0.82 0.61 .0182 2 0.82 0.78 .0183 2 0.82 0.81 .0184 1 0.82 0.81 .0185 1 0.82 0.71 .0186 2 0.82 0.88 .0187 1 0.82 0.70 .0188 1 0.82 0.55 .0189 2 0.82 0.96 .0190 1 0.82 0.82 .0191 2 0.82 0.88 .0192 2 0.82 0.77 .0193 1 0.82 0.82 .0194 5 0.82 0.70 .0195 2 0.82 0.95 .0196 1 0.82 0.92 .0197 10 0.82 0.71 .0198 1 0.82 0.67 .0199 2 0.82 0.59 .0200 7 0.81 0.68 .0201 5 0.81 0.69 .0202 10 0.81 0.85 .0203 2 0.81 0.80 .0204 7 0.81 0.68 .0205 6 0.81 0.77 .0206 8 0.81 0.58 .0207 5 0.81 0.61 .0208 5 0.81 0.67 .0209 10 0.81 0.74 .0210 12 0.81 0.73 .0211 13 0.81 1.76 .0212 8 0.81 0.78 .0213 11 0.81 0.72 .0214 4 0.81 0.77 .0215 4 0.81 0.61 .0216 3 0.81 0.82 .0217 13 0.81 0.90 .0218 3 0.81 0.89 .0219 14 0.81 1.03 .0220 12 0.82 0.66 .0221 1 0.82 0.67 .0222 9 0.82 0.68 .0223 1 0.82 0.66 .0224 14 0.82 0.88 .0225 5 0.82 0.57 .0226 11 0.82 0.59 .0227 9 0.82 0.66 .0228 18 0.82 0.93 .0229 1 0.82 0.65 .0230 1 0.82 0.71 .0231 13 0.82 0.79 .0232 1 0.82 0.75 .0233 1 0.82 0.86 .0234 2 0.82 0.85 .0235 1 0.82 0.92 .0236 3 0.82 0.79 .0237 2 0.82 0.78 .0238 2 0.82 0.94 .0239 2 0.82 1.36 .0240 9 0.83 0.71 .0241 14 0.83 0.92 .0242 5 0.83 0.68 .0243 10 0.83 0.73 .0244 12 0.83 0.64 .0245 1 0.83 0.81 .0246 8 0.83 0.67 .0247 5 0.83 0.62 .0248 2 0.83 0.53 choldc failed 28 .0249 2 0.83 322.36 .0250 8 0.83 0.63 .0251 0 0.83 0.00 .0252 11 0.83 0.61 .0253 14 0.83 0.86 .0254 6 0.83 0.68 .0255 1 0.83 0.92 .0256 3 0.83 0.66 .0257 11 0.83 0.70 .0258 8 0.83 0.76 .0259 6 0.83 0.73 .0260 11 0.84 0.60 .0261 5 0.84 0.65 .0262 1 0.84 0.77 .0263 5 0.84 0.64 .0264 15 0.84 1.61 .0265 16 0.84 1.09 .0266 5 0.84 0.79 .0267 1 0.84 0.69 .0268 8 0.84 0.56 .0269 11 0.84 0.75 .0270 7 0.84 0.71 .0271 11 0.84 0.74 .0272 15 0.84 0.96 .0273 1 0.84 0.81 .0274 13 0.84 0.77 .0275 12 0.84 0.77 .0276 16 0.84 1.11 .0277 6 0.84 0.68 .0278 6 0.84 0.66 .0279 7 0.84 0.65 .0280 5 0.82 0.72 .0281 6 0.82 0.80 .0282 7 0.82 0.83 .0283 1 0.82 0.93 .0284 7 0.82 0.74 .0285 8 0.82 0.69 .0286 5 0.82 0.67 .0287 6 0.82 0.77 .0288 10 0.82 0.80 .0289 2 0.82 0.93 .0290 14 0.82 0.93 .0291 8 0.82 0.70 .0292 2 0.82 0.71 .0293 8 0.82 0.73 .0294 0 0.82 0.00 .0295 12 0.82 0.74 .0296 6 0.82 0.62 .0297 12 0.82 0.82 .0298 1 0.82 0.65 .0299 3 0.82 0.69 .0300 10 0.84 0.61 .0301 1 0.84 0.67 .0302 5 0.84 0.55 .0303 16 0.84 1.44 .0304 6 0.84 0.62 .0305 9 0.84 0.66 .0306 3 0.84 0.63 .0307 11 0.84 0.81 .0308 5 0.84 0.66 .0309 11 0.84 0.54 .0310 13 0.84 0.82 .0311 1 0.84 0.95 .0312 4 0.84 0.63 .0313 12 0.84 1.25 .0314 1 0.84 0.88 .0315 14 0.84 0.95 .0316 12 0.84 0.85 .0317 2 0.84 0.95 .0318 11 0.84 0.48 .0319 4 0.84 0.60 EXTRACT_IMAGE: sdR-r1-00034752.fit: masked 1686 pixels SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 0 median sigma(arc)= 0.86431098 sigma(sky)= 1.0106267 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 0 sigma^2(add)= 0.26824377 +/- 0.25742786 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 1 median sigma(arc)= 0.86109484 sigma(sky)= 1.2366908 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 1 sigma^2(add)= 0.79321696 +/- 0.46461926 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 2 median sigma(arc)= 0.85311526 sigma(sky)= -902.50825 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 2 sigma^2(add)= 554149.98 +/- 1238740.8 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 3 median sigma(arc)= 0.84388236 sigma(sky)= 1.2209292 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 3 sigma^2(add)= 0.69439886 +/- 0.53633485 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 4 median sigma(arc)= 0.84351746 sigma(sky)= 1.2284269 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 4 sigma^2(add)= 0.79751105 +/- 0.52820665 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 5 median sigma(arc)= 0.84401483 sigma(sky)= 0.81007645 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 5 sigma^2(add)= 0.017295362 +/- 0.68648598 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 6 median sigma(arc)= 0.84792410 sigma(sky)= 0.93318261 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 6 sigma^2(add)= 0.15185451 +/- 0.29150247 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 7 median sigma(arc)= 0.84852218 sigma(sky)= 1.0667126 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 7 sigma^2(add)= 0.41277826 +/- 0.28945339 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 8 median sigma(arc)= 0.86630509 sigma(sky)= 0.94938421 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 8 sigma^2(add)= 0.14128953 +/- 0.15626718 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 9 median sigma(arc)= 0.86750903 sigma(sky)= 0.93396449 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 9 sigma^2(add)= 0.11971764 +/- 0.23244344 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 10 median sigma(arc)= 0.88759710 sigma(sky)= 0.95696275 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 10 sigma^2(add)= 0.12794960 +/- 0.17588687 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 11 median sigma(arc)= 0.88924724 sigma(sky)= 1.0076313 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Line # 11 sigma^2(add)= 0.21367137 +/- 0.16130973 SKYLINE_DISPERSION: sdR-r1-00034752.fit: Flexure sigma^2(add) = 0.10191518 +/- 0.17537117 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034752.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034752.fit: Heliocentric correction = 23.241952 km/s FITVACSET: sdR-r1-00034752.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034752.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034752.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034752.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-r1-00034752.fit: Number of sky fibers = 26 SKYSUBTRACT: sdR-r1-00034752.fit: Airmass range = 1.12575 1.15180 SKYSUBTRACT: sdR-r1-00034752.fit: Discarding 0.00351187 (fractional) of the sky pixels as bad Lowest 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SKYSUBTRACT: sdR-r1-00034752.fit: Max sky-residual chi2 = 6.40328 EXTRACT_OBJECT: sdR-r1-00034752.fit: Calling skysubtract again; masked skyfibers 17 32 SKYSUBTRACT: sdR-r1-00034752.fit: Number of sky fibers = 24 SKYSUBTRACT: sdR-r1-00034752.fit: Airmass range = 1.12575 1.15180 SKYSUBTRACT: sdR-r1-00034752.fit: Discarding 0.00380452 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 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2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034752.fit: Median sky-residual chi2 = 1.64866 SKYSUBTRACT: sdR-r1-00034752.fit: Max sky-residual chi2 = 8.78768 QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 9 = -38.1192 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 29 = -51.8426 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 44 = -22.4703 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 102 = 22.7008 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 124 = 15.3142 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 125 = 14.8043 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 127 = 16.8559 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 135 = 16.6939 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 157 = 26.8112 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 246 = 19.0649 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 274 = -30.4252 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 315 = 19.2372 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 318 = 13.0832 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Median sky-residual chi = 1.31042 QAPLOT_SKYSUB: sdR-r1-00034752.fit: Max sky-residual chi = 2.97301 at 6565.2198 Ang SKYSUBTRACT: sdR-r1-00034752.fit: Number of sky fibers = 24 SKYSUBTRACT: sdR-r1-00034752.fit: Airmass range = 1.12575 1.15180 SKYSUBTRACT: sdR-r1-00034752.fit: Discarding 0.00380452 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 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2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034752.fit: Median sky-residual chi2 = 1.34449 SKYSUBTRACT: sdR-r1-00034752.fit: Max sky-residual chi2 = 5.00265 QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 29 = -25.9538 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 45 = 11.4667 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 102 = 19.5309 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 157 = 12.3342 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 204 = -15.7341 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 219 = -12.2431 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 274 = -37.9784 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 284 = -13.2294 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 315 = 24.5570 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Warning: Median sky-sub flux in sky fiber 318 = 20.6323 electrons QAPLOT_SKYSUB: sdR-r1-00034752.fit: Median sky-residual chi = 1.18047 QAPLOT_SKYSUB: sdR-r1-00034752.fit: Max sky-residual chi = 2.29882 at 6901.0732 Ang QAPLOT_SKYLINE: sdR-r1-00034752.fit: Airmass range = 1.13 1.15 QAPLOT_SKYLINE: sdR-r1-00034752.fit: Flux dispersion for skyline 7343.0 = 5.94 % QAPLOT_SKYLINE: sdR-r1-00034752.fit: Airmass range = 1.13 1.15 QAPLOT_SKYLINE: sdR-r1-00034752.fit: Flux dispersion for skyline 8888.3 = 4.20 % SPADD_GUIDERINFO: sdR-r1-00034752.fit: Number of guider frames = 7 SPREDUCE: sdR-r1-00034752.fit: Elapsed time = 188. seconds SPREDUCE: sdR-r1-00034753.fit: Reading object sdR-r1-00034753.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034753.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034753.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034753.fit: Measured read-noise in DN for amp# 2 = 3.89997 SDSSPROC: sdR-r1-00034753.fit: Measured bias value in DN for amp# 2 = 1182.13 SDSSPROC: sdR-r1-00034753.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034753.fit: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: sdR-r1-00034753.fit: Measured read-noise in DN for amp# 3 = 3.60029 SDSSPROC: sdR-r1-00034753.fit: Measured bias value in DN for amp# 3 = 1232.35 SDSSPROC: sdR-r1-00034753.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034753.fit: Amp #3 Number of pix below bias-5*sigma= 1212. DN is 0 SDSSPROC: sdR-r1-00034753.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034753.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034753.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034753.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034753.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034753.fit: Science 25-th-percentile = 332.933 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034753.fit: Whopping fibers: 66 71 77 94 125 130 133 135 137 139 211 220 264 272 303 EXTRACT_OBJECT: sdR-r1-00034753.fit: Median counts in all fibers = 7315.39 EXTRACT_OBJECT: sdR-r1-00034753.fit: Number of bright fibers = 15 EXTRACT_OBJECT: sdR-r1-00034753.fit: Sky fiber median 1375.17 EXTRACT_OBJECT: sdR-r1-00034753.fit: 5% and 95% count levels 1010.79 17486.7 MATCH_TRACE: sdR-r1-00034753.fit: Iteration: 0 Pixels Rejected: 11630 Finished? 0 MATCH_TRACE: sdR-r1-00034753.fit: Iteration: 1 Pixels Rejected: 433 Finished? 0 MATCH_TRACE: sdR-r1-00034753.fit: Iteration: 2 Pixels Rejected: 42 Finished? 0 MATCH_TRACE: sdR-r1-00034753.fit: Iteration: 3 Pixels Rejected: 6 Finished? 0 MATCH_TRACE: sdR-r1-00034753.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r1-00034753.fit: Shifting traces by match_trace 0.0681152 EXTRACT_OBJECT: sdR-r1-00034753.fit: Extracting frame sdR-r1-00034753.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034753.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 4 0.95 1.62 .0001 4 0.95 1.53 .0002 3 0.95 1.44 .0003 4 0.95 1.60 .0004 2 0.95 1.42 .0005 2 0.95 1.56 .0006 2 0.95 1.67 .0007 3 0.95 1.57 .0008 3 0.95 1.70 .0009 2 0.95 1.64 .0010 2 0.95 1.71 .0011 4 0.95 1.76 .0012 2 0.95 1.81 .0013 2 0.95 1.73 .0014 3 0.95 1.71 .0015 2 0.95 1.88 .0016 3 0.95 1.90 .0017 6 0.95 2.07 .0018 4 0.95 1.95 .0019 2 0.95 1.91 .0020 2 0.95 1.92 .0021 2 0.95 2.02 .0022 4 0.95 2.17 .0023 4 0.95 2.14 .0024 3 0.95 2.30 .0025 2 0.95 1.98 .0026 4 0.95 2.10 .0027 2 0.95 2.03 .0028 2 0.95 2.03 .0029 2 0.95 1.97 .0030 2 0.95 2.29 .0031 3 0.95 2.33 .0032 3 0.95 2.20 .0033 4 0.95 2.12 .0034 2 0.95 2.16 .0035 2 0.95 2.35 .0036 3 0.95 2.31 .0037 2 0.95 2.29 .0038 2 0.95 2.34 .0039 3 0.95 2.26 .0040 1 0.95 2.45 .0041 2 0.95 2.36 .0042 2 0.95 2.30 .0043 2 0.95 2.48 .0044 1 0.95 2.53 .0045 1 0.95 2.55 .0046 2 0.95 2.62 .0047 3 0.95 2.79 .0048 3 0.95 2.60 .0049 1 0.95 2.44 .0050 2 0.95 2.51 .0051 1 0.95 2.50 .0052 3 0.95 2.78 .0053 4 0.95 2.60 .0054 2 0.95 2.78 .0055 3 0.95 2.51 .0056 2 0.95 2.64 .0057 1 0.95 2.69 .0058 2 0.95 2.51 .0059 1 0.95 2.55 .0060 4 0.95 2.57 .0061 2 0.95 2.51 .0062 1 0.95 2.58 .0063 2 0.95 2.87 .0064 3 0.95 2.74 .0065 1 0.95 2.51 .0066 2 0.95 2.52 .0067 1 0.95 2.64 .0068 1 0.95 2.63 .0069 1 0.95 2.64 .0070 2 0.94 2.77 .0071 2 0.94 2.87 .0072 3 0.94 2.79 .0073 1 0.94 2.47 .0074 1 0.94 2.50 .0075 1 0.94 2.57 .0076 2 0.94 2.53 .0077 1 0.94 2.73 .0078 1 0.94 2.44 .0079 1 0.94 2.55 .0080 3 0.94 2.66 .0081 2 0.94 2.73 .0082 1 0.94 2.60 .0083 1 0.94 2.62 .0084 2 0.94 2.74 .0085 2 0.94 2.63 .0086 1 0.94 2.60 .0087 1 0.94 2.47 .0088 2 0.94 2.74 .0089 3 0.94 2.85 .0090 3 0.94 2.84 .0091 2 0.94 2.83 .0092 1 0.94 2.58 .0093 1 0.94 2.87 .0094 1 0.94 2.72 .0095 1 0.94 2.61 .0096 1 0.94 2.60 .0097 1 0.94 2.60 .0098 1 0.94 2.54 .0099 1 0.94 2.58 .0100 2 0.94 2.54 .0101 2 0.94 2.63 .0102 2 0.94 2.58 .0103 3 0.94 2.97 .0104 2 0.94 2.78 .0105 2 0.94 2.62 .0106 1 0.94 2.85 .0107 2 0.94 2.61 .0108 3 0.94 2.75 .0109 2 0.94 2.57 .0110 1 0.94 2.63 .0111 1 0.94 2.54 .0112 1 0.94 2.52 .0113 1 0.94 2.76 .0114 2 0.94 2.70 .0115 3 0.94 2.56 .0116 2 0.94 2.49 .0117 1 0.94 2.52 .0118 2 0.94 2.64 .0119 3 0.94 2.76 .0120 3 0.94 2.92 .0121 3 0.94 3.35 .0122 3 0.94 2.70 .0123 2 0.94 2.66 .0124 2 0.94 2.78 .0125 2 0.94 2.64 .0126 2 0.94 2.84 .0127 3 0.94 2.48 .0128 2 0.94 2.60 .0129 2 0.94 2.69 .0130 2 0.94 2.45 .0131 2 0.94 2.51 .0132 3 0.94 2.57 .0133 2 0.94 2.57 .0134 2 0.94 2.98 .0135 3 0.94 3.03 .0136 3 0.94 2.69 .0137 4 0.94 2.56 .0138 3 0.94 2.92 .0139 3 0.94 2.73 .0140 2 0.94 2.78 .0141 1 0.94 2.63 .0142 1 0.94 2.51 .0143 1 0.94 2.59 .0144 2 0.94 2.85 .0145 2 0.94 2.71 .0146 2 0.94 2.58 .0147 1 0.94 2.62 .0148 1 0.94 2.56 .0149 2 0.94 2.61 .0150 1 0.94 2.66 .0151 3 0.94 2.71 .0152 3 0.94 2.58 .0153 1 0.94 2.74 .0154 2 0.93 2.92 .0155 2 0.93 2.97 .0156 2 0.93 2.59 .0157 2 0.93 2.95 .0158 2 0.93 2.58 .0159 1 0.93 2.63 .0160 1 0.93 2.80 .0161 1 0.93 2.66 .0162 2 0.93 2.75 .0163 3 0.93 2.84 .0164 4 0.93 2.71 .0165 2 0.93 2.96 .0166 3 0.93 2.82 .0167 1 0.93 3.01 .0168 1 0.93 2.74 .0169 2 0.93 2.57 .0170 2 0.93 2.72 .0171 1 0.93 2.67 .0172 1 0.93 2.87 .0173 2 0.93 2.87 .0174 2 0.93 2.84 .0175 1 0.93 2.83 .0176 1 0.93 2.94 .0177 2 0.93 2.97 .0178 2 0.93 3.05 .0179 2 0.93 3.02 .0180 1 0.93 3.11 .0181 2 0.93 3.11 .0182 1 0.93 3.02 .0183 1 0.93 3.11 .0184 2 0.93 2.95 .0185 1 0.93 3.36 .0186 2 0.93 3.45 .0187 2 0.93 3.32 .0188 2 0.93 3.51 .0189 2 0.93 3.26 .0190 1 0.93 3.39 .0191 1 0.93 3.19 .0192 1 0.93 3.37 .0193 1 0.93 3.33 .0194 1 0.93 3.28 .0195 1 0.93 3.34 .0196 1 0.93 3.34 .0197 1 0.93 3.28 .0198 1 0.93 3.47 .0199 1 0.93 3.56 .0200 1 0.93 3.45 .0201 2 0.93 3.46 .0202 1 0.93 3.45 .0203 2 0.93 3.45 .0204 2 0.93 3.64 .0205 2 0.93 3.76 .0206 1 0.93 3.36 .0207 3 0.93 3.62 .0208 1 0.93 3.70 .0209 1 0.93 3.74 .0210 2 0.93 3.74 .0211 3 0.93 3.64 .0212 2 0.93 3.86 .0213 1 0.93 3.68 .0214 1 0.93 3.75 .0215 1 0.93 3.84 .0216 3 0.93 3.91 .0217 2 0.93 3.89 .0218 3 0.93 3.71 .0219 2 0.93 4.03 .0220 3 0.93 4.32 .0221 3 0.93 4.11 .0222 2 0.93 4.03 .0223 3 0.93 4.31 .0224 2 0.93 4.36 .0225 4 0.93 4.17 .0226 2 0.93 3.98 .0227 3 0.93 4.15 .0228 2 0.93 4.16 .0229 2 0.93 4.04 .0230 3 0.93 4.07 .0231 2 0.93 4.23 .0232 1 0.93 4.44 .0233 2 0.93 3.84 .0234 1 0.93 4.00 .0235 3 0.93 4.16 .0236 3 0.93 4.11 .0237 2 0.93 3.99 .0238 2 0.93 3.88 .0239 2 0.93 4.09 .0240 1 0.93 3.95 .0241 1 0.93 3.79 .0242 1 0.93 3.97 .0243 2 0.93 3.89 .0244 1 0.93 4.17 .0245 1 0.93 3.92 .0246 3 0.93 3.75 .0247 3 0.93 3.87 .0248 3 0.93 3.91 .0249 2 0.93 3.84 .0250 2 0.93 3.83 .0251 2 0.93 3.78 .0252 1 0.93 4.07 .0253 2 0.93 3.69 .0254 1 0.93 3.71 .0255 1 0.93 3.70 .0256 2 0.93 3.86 .0257 1 0.93 3.68 .0258 2 0.93 4.01 .0259 2 0.93 3.54 .0260 2 0.93 3.76 .0261 1 0.93 3.76 .0262 4 0.93 3.80 .0263 4 0.93 3.73 .0264 2 0.93 3.70 .0265 4 0.93 3.89 .0266 3 0.93 3.52 .0267 2 0.93 3.84 .0268 3 0.93 3.62 .0269 3 0.93 3.77 .0270 3 0.93 3.67 .0271 2 0.93 3.79 .0272 1 0.93 3.66 .0273 2 0.93 3.47 .0274 1 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0.93 3.07 .1718 3 0.93 3.01 .1719 1 0.93 3.13 .1720 1 0.93 3.03 .1721 1 0.93 3.00 .1722 2 0.92 2.89 .1723 1 0.92 3.09 .1724 2 0.92 3.16 .1725 1 0.92 3.11 .1726 1 0.92 2.98 .1727 2 0.92 3.18 .1728 1 0.92 3.18 .1729 2 0.92 2.83 .1730 2 0.92 3.07 .1731 2 0.92 3.36 .1732 1 0.92 2.88 .1733 1 0.92 2.97 .1734 3 0.92 3.04 .1735 4 0.92 3.16 .1736 3 0.92 3.06 .1737 2 0.92 3.00 .1738 3 0.92 3.01 .1739 1 0.92 2.88 .1740 1 0.92 2.84 .1741 2 0.92 3.00 .1742 2 0.92 3.00 .1743 3 0.92 3.27 .1744 1 0.92 2.74 .1745 2 0.92 2.71 .1746 1 0.92 2.99 .1747 3 0.92 2.75 .1748 1 0.92 2.61 .1749 2 0.92 2.60 .1750 3 0.92 2.70 .1751 3 0.92 2.54 .1752 2 0.92 2.69 .1753 3 0.92 2.72 .1754 1 0.92 2.85 .1755 1 0.92 2.88 .1756 2 0.92 3.03 .1757 2 0.92 3.29 .1758 1 0.92 2.89 .1759 2 0.92 2.86 .1760 1 0.92 2.90 .1761 2 0.92 2.82 .1762 1 0.92 3.13 .1763 1 0.92 2.68 .1764 1 0.92 2.95 .1765 3 0.92 2.91 .1766 1 0.92 2.88 .1767 1 0.92 2.76 .1768 2 0.92 2.91 .1769 1 0.92 3.25 .1770 2 0.92 3.02 .1771 1 0.92 2.90 .1772 1 0.92 2.89 .1773 1 0.92 2.89 .1774 2 0.92 2.97 .1775 1 0.92 3.29 .1776 3 0.92 2.91 .1777 4 0.92 2.77 .1778 3 0.92 2.79 .1779 2 0.92 2.69 .1780 1 0.92 2.87 .1781 3 0.92 3.01 .1782 3 0.92 2.91 .1783 3 0.92 2.89 .1784 4 0.92 3.02 .1785 2 0.92 3.11 .1786 2 0.92 3.28 .1787 3 0.92 2.85 .1788 2 0.92 3.19 .1789 1 0.92 2.83 .1790 1 0.92 2.83 .1791 1 0.92 2.78 .1792 1 0.92 2.81 .1793 2 0.92 2.87 .1794 3 0.92 2.89 .1795 1 0.92 2.78 .1796 2 0.92 2.64 .1797 2 0.92 2.86 .1798 1 0.92 2.95 .1799 1 0.92 2.82 .1800 6 0.92 2.67 .1801 1 0.92 2.64 .1802 1 0.92 2.61 .1803 1 0.92 2.76 .1804 1 0.92 2.99 .1805 3 0.92 2.77 .1806 4 0.92 3.28 .1807 2 0.92 2.94 .1808 3 0.92 2.97 .1809 2 0.92 2.77 .1810 1 0.92 2.78 .1811 2 0.92 2.79 .1812 2 0.92 2.89 .1813 2 0.92 2.86 .1814 3 0.92 2.94 .1815 1 0.92 2.81 .1816 2 0.92 2.70 .1817 1 0.92 2.85 .1818 1 0.92 2.63 .1819 2 0.92 2.80 .1820 2 0.92 2.79 .1821 1 0.92 2.77 .1822 1 0.92 2.81 .1823 2 0.92 2.95 .1824 2 0.92 2.82 .1825 3 0.92 2.90 .1826 1 0.92 2.97 .1827 2 0.92 2.75 .1828 1 0.92 2.98 .1829 1 0.92 2.94 .1830 2 0.92 2.90 .1831 1 0.92 2.83 .1832 2 0.92 2.92 .1833 1 0.92 2.74 .1834 1 0.92 2.76 .1835 2 0.92 3.07 .1836 4 0.92 3.24 .1837 2 0.92 3.05 .1838 2 0.92 2.83 .1839 1 0.92 3.03 .1840 2 0.92 2.84 .1841 3 0.92 3.29 .1842 1 0.92 3.22 .1843 1 0.92 3.04 .1844 1 0.92 2.89 .1845 3 0.92 2.93 .1846 1 0.92 2.94 .1847 2 0.92 2.78 .1848 1 0.92 2.76 .1849 3 0.92 2.77 .1850 3 0.92 2.89 .1851 1 0.92 2.92 .1852 2 0.92 2.71 .1853 2 0.92 3.06 .1854 4 0.92 3.08 .1855 2 0.92 2.94 .1856 2 0.92 2.96 .1857 1 0.92 2.78 .1858 1 0.92 2.72 .1859 2 0.92 2.87 .1860 2 0.92 3.28 .1861 4 0.92 2.55 .1862 2 0.92 2.91 .1863 2 0.92 2.69 .1864 2 0.92 2.80 .1865 2 0.92 2.81 .1866 1 0.92 2.89 .1867 2 0.92 2.86 .1868 1 0.92 2.93 .1869 1 0.92 2.78 .1870 3 0.92 2.92 .1871 2 0.92 2.99 .1872 2 0.92 2.96 .1873 1 0.92 2.95 .1874 2 0.92 3.10 .1875 3 0.92 3.14 .1876 3 0.92 2.98 .1877 1 0.92 3.24 .1878 1 0.92 2.86 .1879 2 0.92 2.98 .1880 2 0.92 3.07 .1881 1 0.92 2.99 .1882 3 0.92 2.92 .1883 1 0.92 3.20 .1884 1 0.92 2.91 .1885 2 0.92 3.02 .1886 2 0.92 3.06 .1887 3 0.92 3.04 .1888 3 0.92 2.96 .1889 2 0.92 2.99 .1890 2 0.92 3.07 .1891 2 0.92 3.30 .1892 2 0.92 2.91 .1893 1 0.92 3.23 .1894 1 0.92 3.07 .1895 2 0.92 3.18 .1896 1 0.92 2.95 .1897 3 0.92 2.98 .1898 1 0.92 2.99 .1899 3 0.92 2.86 .1900 2 0.92 3.02 .1901 2 0.92 2.95 .1902 1 0.92 2.93 .1903 2 0.92 2.78 .1904 2 0.92 2.72 .1905 2 0.92 2.90 .1906 1 0.92 2.97 .1907 1 0.92 3.28 .1908 4 0.92 3.16 .1909 1 0.92 2.90 .1910 1 0.92 2.90 .1911 1 0.92 2.80 .1912 2 0.92 2.80 .1913 1 0.92 3.02 .1914 1 0.92 3.01 .1915 2 0.92 3.17 .1916 1 0.92 3.03 .1917 1 0.92 3.00 .1918 2 0.92 2.78 .1919 2 0.92 2.75 .1920 1 0.92 2.66 .1921 2 0.92 3.08 .1922 5 0.92 2.87 .1923 1 0.92 2.77 .1924 1 0.92 2.75 .1925 2 0.92 2.74 .1926 3 0.92 2.81 .1927 2 0.92 3.01 .1928 2 0.92 2.92 .1929 1 0.92 2.55 .1930 2 0.92 2.70 .1931 1 0.92 2.84 .1932 2 0.92 2.58 .1933 1 0.92 2.55 .1934 1 0.92 2.50 .1935 2 0.92 2.63 .1936 2 0.92 2.70 .1937 3 0.92 2.61 .1938 4 0.92 2.63 .1939 2 0.92 2.95 .1940 1 0.92 2.58 .1941 2 0.92 2.58 .1942 3 0.92 2.89 .1943 2 0.92 2.88 .1944 2 0.92 2.56 .1945 1 0.92 2.64 .1946 3 0.92 2.64 .1947 1 0.92 2.62 .1948 1 0.92 2.63 .1949 2 0.92 2.60 .1950 1 0.92 2.55 .1951 2 0.92 2.57 .1952 2 0.92 2.75 .1953 1 0.92 2.76 .1954 1 0.92 2.72 .1955 1 0.92 2.80 .1956 2 0.92 2.89 .1957 2 0.92 3.07 .1958 1 0.92 2.77 .1959 1 0.92 2.85 .1960 1 0.92 2.90 .1961 1 0.92 2.71 .1962 1 0.92 2.73 .1963 1 0.92 2.68 .1964 1 0.92 2.73 .1965 1 0.92 2.81 .1966 3 0.92 2.84 .1967 3 0.92 2.80 .1968 1 0.92 2.75 .1969 1 0.92 2.73 .1970 1 0.92 2.81 .1971 1 0.92 2.77 .1972 3 0.92 2.76 .1973 2 0.92 2.87 .1974 1 0.92 2.72 .1975 1 0.92 2.74 .1976 2 0.92 2.66 .1977 2 0.92 2.81 .1978 3 0.92 2.71 .1979 2 0.92 2.95 .1980 1 0.92 2.66 .1981 2 0.92 2.64 .1982 2 0.92 2.68 .1983 2 0.92 2.66 .1984 3 0.92 2.74 .1985 2 0.92 2.56 .1986 2 0.92 2.50 .1987 2 0.92 3.01 .1988 2 0.92 2.74 .1989 1 0.92 2.49 .1990 1 0.92 2.54 .1991 1 0.92 2.66 .1992 2 0.92 2.78 .1993 1 0.92 2.66 .1994 1 0.92 2.64 .1995 1 0.92 2.47 .1996 3 0.92 2.61 .1997 2 0.92 2.71 .1998 1 0.92 2.59 .1999 2 0.92 2.81 .2000 1 0.92 2.65 .2001 2 0.92 2.52 .2002 1 0.92 2.54 .2003 2 0.92 2.70 .2004 3 0.92 2.41 .2005 4 0.92 2.72 .2006 2 0.92 2.83 .2007 1 0.92 2.81 .2008 2 0.92 2.75 .2009 2 0.92 2.60 .2010 2 0.92 2.80 .2011 3 0.92 2.69 .2012 2 0.92 2.77 .2013 1 0.92 2.74 .2014 1 0.92 2.52 .2015 1 0.92 2.58 .2016 2 0.92 2.71 .2017 2 0.92 2.57 .2018 1 0.92 2.68 .2019 1 0.92 2.64 .2020 1 0.92 2.69 .2021 3 0.92 2.60 .2022 3 0.92 2.72 .2023 1 0.92 2.60 .2024 3 0.92 2.56 .2025 2 0.92 2.56 .2026 1 0.92 2.49 .2027 2 0.92 2.55 .2028 2 0.92 2.77 .2029 3 0.92 3.11 .2030 3 0.92 2.50 .2031 2 0.92 2.62 .2032 1 0.92 2.83 .2033 2 0.92 2.72 .2034 2 0.92 2.79 .2035 3 0.92 2.54 .2036 2 0.92 2.66 .2037 1 0.92 2.45 .2038 1 0.92 2.43 .2039 2 0.92 2.52 .2040 3 0.92 2.56 .2041 2 0.92 2.65 .2042 2 0.92 2.58 .2043 2 0.92 2.51 .2044 1 0.92 2.54 .2045 1 0.92 2.71 .2046 1 0.92 2.56 .2047 3 0.92 2.59 EXTRACT_IMAGE: sdR-r1-00034753.fit: masked 2106 pixels EXTRACT_OBJECT: sdR-r1-00034753.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034753.fit: WARNING: Scattered light median = 115.858 electrons QAPLOT_SCATLIGHT: sdR-r1-00034753.fit: WARNING: Scattered light max = 307.149 electrons EXTRACT_OBJECT: sdR-r1-00034753.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034753.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034753.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034753.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.17 Step 28 of 2112 0.58 96 0.02 0.15 Step 36 of 2112 0.58 96 0.02 0.16 Step 44 of 2112 0.58 96 0.02 0.16 Step 52 of 2112 0.59 96 0.02 0.17 Step 60 of 2112 0.59 96 0.02 0.16 Step 68 of 2112 0.59 96 0.02 0.16 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.59 96 0.02 0.16 Step 108 of 2112 0.59 96 0.01 0.18 Step 116 of 2112 0.60 96 0.02 0.16 Step 124 of 2112 0.60 96 0.02 0.16 Step 132 of 2112 0.60 96 0.02 0.16 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.60 96 0.02 0.16 Step 172 of 2112 0.60 96 0.02 0.15 Step 180 of 2112 0.60 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.15 Step 220 of 2112 0.61 96 0.02 0.15 Step 228 of 2112 0.61 96 0.02 0.16 Step 236 of 2112 0.61 96 0.02 0.16 Step 244 of 2112 0.61 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.17 Step 276 of 2112 0.62 96 0.02 0.16 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.62 96 0.01 0.15 Step 308 of 2112 0.62 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.16 Step 324 of 2112 0.63 96 0.02 0.17 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.14 Step 356 of 2112 0.63 96 0.02 0.14 Step 364 of 2112 0.63 96 0.02 0.14 Step 372 of 2112 0.63 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.15 Step 388 of 2112 0.64 96 0.02 0.17 Step 396 of 2112 0.64 96 0.02 0.16 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.16 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.17 Step 468 of 2112 0.65 96 0.02 0.16 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.02 0.23 Step 492 of 2112 0.65 128 0.02 0.22 Step 500 of 2112 0.65 128 0.02 0.21 Step 508 of 2112 0.66 128 0.02 0.21 Step 516 of 2112 0.66 128 0.02 0.21 Step 524 of 2112 0.66 128 0.03 0.21 Step 532 of 2112 0.66 128 0.02 0.20 Step 540 of 2112 0.66 128 0.02 0.22 Step 548 of 2112 0.66 128 0.03 0.21 Step 556 of 2112 0.66 128 0.03 0.20 Step 564 of 2112 0.66 128 0.03 0.22 Step 572 of 2112 0.67 128 0.03 0.24 Step 580 of 2112 0.67 128 0.02 0.22 Step 588 of 2112 0.67 128 0.02 0.22 Step 596 of 2112 0.67 128 0.02 0.22 Step 604 of 2112 0.67 128 0.02 0.22 Step 612 of 2112 0.67 128 0.02 0.22 Step 620 of 2112 0.67 128 0.01 0.21 Step 628 of 2112 0.68 128 0.01 0.20 Step 636 of 2112 0.68 128 0.03 0.21 Step 644 of 2112 0.68 128 0.03 0.20 Step 652 of 2112 0.68 128 0.03 0.20 Step 660 of 2112 0.68 128 0.03 0.21 Step 668 of 2112 0.68 128 0.03 0.21 Step 676 of 2112 0.68 128 0.03 0.21 Step 684 of 2112 0.68 128 0.03 0.22 Step 692 of 2112 0.69 128 0.03 0.24 Step 700 of 2112 0.69 128 0.02 0.23 Step 708 of 2112 0.69 128 0.02 0.20 Step 716 of 2112 0.69 128 0.03 0.21 Step 724 of 2112 0.69 128 0.04 0.22 Step 732 of 2112 0.69 128 0.03 0.24 Step 740 of 2112 0.69 128 0.03 0.22 Step 748 of 2112 0.69 128 0.04 0.25 Step 756 of 2112 0.70 128 0.03 0.22 Step 764 of 2112 0.70 128 0.04 0.22 Step 772 of 2112 0.70 128 0.03 0.22 Step 780 of 2112 0.70 128 0.03 0.23 Step 788 of 2112 0.70 128 0.02 0.21 Step 796 of 2112 0.70 128 0.02 0.21 Step 804 of 2112 0.70 128 0.03 0.22 Step 812 of 2112 0.71 128 0.02 0.20 Step 820 of 2112 0.71 128 0.02 0.20 Step 828 of 2112 0.71 128 0.02 0.22 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.02 0.22 Step 852 of 2112 0.71 128 0.03 0.24 Step 860 of 2112 0.71 128 0.02 0.21 Step 868 of 2112 0.71 128 0.02 0.20 Step 876 of 2112 0.72 128 0.02 0.20 Step 884 of 2112 0.72 128 0.03 0.20 Step 892 of 2112 0.72 128 0.03 0.22 Step 900 of 2112 0.72 128 0.03 0.24 Step 908 of 2112 0.72 128 0.02 0.21 Step 916 of 2112 0.72 128 0.03 0.22 Step 924 of 2112 0.72 128 0.02 0.21 Step 932 of 2112 0.72 128 0.02 0.20 Step 940 of 2112 0.73 128 0.02 0.21 Step 948 of 2112 0.73 128 0.02 0.23 Step 956 of 2112 0.73 128 0.04 0.21 Step 964 of 2112 0.73 128 0.02 0.21 Step 972 of 2112 0.73 128 0.03 0.21 Step 980 of 2112 0.73 160 0.04 0.35 Step 988 of 2112 0.73 160 0.03 0.33 Step 996 of 2112 0.74 160 0.03 0.34 Step 1004 of 2112 0.74 160 0.03 0.34 Step 1012 of 2112 0.74 160 0.03 0.33 Step 1020 of 2112 0.74 160 0.05 0.35 Step 1028 of 2112 0.74 160 0.03 0.33 Step 1036 of 2112 0.74 160 0.03 0.34 Step 1044 of 2112 0.74 160 0.04 0.34 Step 1052 of 2112 0.75 160 0.03 0.33 Step 1060 of 2112 0.75 160 0.03 0.32 Step 1068 of 2112 0.75 160 0.03 0.34 Step 1076 of 2112 0.75 160 0.03 0.34 Step 1084 of 2112 0.75 160 0.03 0.35 Step 1092 of 2112 0.75 160 0.03 0.32 Step 1100 of 2112 0.75 160 0.04 0.38 Step 1108 of 2112 0.75 160 0.03 0.34 Step 1116 of 2112 0.76 160 0.03 0.34 Step 1124 of 2112 0.76 160 0.03 0.32 Step 1132 of 2112 0.76 160 0.03 0.32 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.03 0.34 Step 1156 of 2112 0.76 160 0.03 0.37 Step 1164 of 2112 0.76 160 0.03 0.32 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.32 Step 1188 of 2112 0.77 160 0.03 0.32 Step 1196 of 2112 0.77 160 0.04 0.34 Step 1204 of 2112 0.77 160 0.03 0.35 Step 1212 of 2112 0.77 160 0.03 0.33 Step 1220 of 2112 0.77 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.35 Step 1236 of 2112 0.78 160 0.03 0.34 Step 1244 of 2112 0.78 160 0.03 0.32 Step 1252 of 2112 0.78 160 0.03 0.33 Step 1260 of 2112 0.78 160 0.03 0.33 Step 1268 of 2112 0.78 160 0.03 0.34 Step 1276 of 2112 0.78 160 0.03 0.36 Step 1284 of 2112 0.78 160 0.04 0.37 Step 1292 of 2112 0.79 160 0.04 0.38 Step 1300 of 2112 0.79 160 0.04 0.36 Step 1308 of 2112 0.79 160 0.03 0.35 Step 1316 of 2112 0.79 160 0.03 0.34 Step 1324 of 2112 0.79 160 0.03 0.34 Step 1332 of 2112 0.79 160 0.03 0.35 Step 1340 of 2112 0.79 160 0.03 0.36 Step 1348 of 2112 0.80 160 0.03 0.34 Step 1356 of 2112 0.80 160 0.03 0.34 Step 1364 of 2112 0.80 192 0.04 0.38 Step 1372 of 2112 0.80 192 0.04 0.36 Step 1380 of 2112 0.80 192 0.05 0.42 Step 1388 of 2112 0.80 192 0.04 0.36 Step 1396 of 2112 0.80 192 0.04 0.37 Step 1404 of 2112 0.81 192 0.04 0.40 Step 1412 of 2112 0.81 192 0.05 0.37 Step 1420 of 2112 0.81 192 0.05 0.39 Step 1428 of 2112 0.81 192 0.04 0.39 Step 1436 of 2112 0.81 192 0.04 0.39 Step 1444 of 2112 0.81 192 0.04 0.38 Step 1452 of 2112 0.81 192 0.02 0.37 Step 1460 of 2112 0.82 192 0.02 0.40 Step 1468 of 2112 0.82 192 0.03 0.38 Step 1476 of 2112 0.82 192 0.04 0.40 Step 1484 of 2112 0.82 192 0.04 0.37 Step 1492 of 2112 0.82 192 0.03 0.39 Step 1500 of 2112 0.82 192 0.03 0.38 Step 1508 of 2112 0.82 192 0.03 0.37 Step 1516 of 2112 0.83 192 0.04 0.40 Step 1524 of 2112 0.83 192 0.04 0.38 Step 1532 of 2112 0.83 192 0.04 0.39 Step 1540 of 2112 0.83 192 0.04 0.38 Step 1548 of 2112 0.83 192 0.04 0.39 Step 1556 of 2112 0.83 192 0.04 0.39 Step 1564 of 2112 0.83 192 0.03 0.39 Step 1572 of 2112 0.84 192 0.04 0.38 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.04 0.37 Step 1596 of 2112 0.84 192 0.03 0.38 Step 1604 of 2112 0.84 192 0.04 0.37 Step 1612 of 2112 0.84 192 0.03 0.36 Step 1620 of 2112 0.84 192 0.04 0.36 Step 1628 of 2112 0.84 192 0.04 0.38 Step 1636 of 2112 0.85 192 0.04 0.39 Step 1644 of 2112 0.85 192 0.04 0.39 Step 1652 of 2112 0.85 192 0.04 0.41 Step 1660 of 2112 0.85 192 0.04 0.39 Step 1668 of 2112 0.85 192 0.04 0.39 Step 1676 of 2112 0.85 192 0.03 0.37 Step 1684 of 2112 0.85 192 0.03 0.36 Step 1692 of 2112 0.86 224 0.03 0.48 Step 1700 of 2112 0.86 224 0.03 0.48 Step 1708 of 2112 0.86 224 0.04 0.49 Step 1716 of 2112 0.86 224 0.05 0.51 Step 1724 of 2112 0.86 224 0.04 0.49 Step 1732 of 2112 0.86 224 0.04 0.50 Step 1740 of 2112 0.86 224 0.04 0.52 Step 1748 of 2112 0.87 224 0.05 0.50 Step 1756 of 2112 0.87 224 0.04 0.50 Step 1764 of 2112 0.87 224 0.04 0.53 Step 1772 of 2112 0.87 224 0.05 0.49 Step 1780 of 2112 0.87 224 0.05 0.53 Step 1788 of 2112 0.87 224 0.04 0.49 Step 1796 of 2112 0.87 224 0.04 0.47 Step 1804 of 2112 0.88 224 0.04 0.47 Step 1812 of 2112 0.88 224 0.04 0.48 Step 1820 of 2112 0.88 224 0.04 0.49 Step 1828 of 2112 0.88 224 0.03 0.50 Step 1836 of 2112 0.88 224 0.03 0.54 Step 1844 of 2112 0.88 224 0.03 0.50 Step 1852 of 2112 0.88 224 0.04 0.49 Step 1860 of 2112 0.89 224 0.05 0.50 Step 1868 of 2112 0.89 224 0.04 0.50 Step 1876 of 2112 0.89 224 0.04 0.49 Step 1884 of 2112 0.89 224 0.03 0.50 Step 1892 of 2112 0.89 224 0.04 0.50 Step 1900 of 2112 0.89 224 0.04 0.46 Step 1908 of 2112 0.89 224 0.04 0.47 Step 1916 of 2112 0.90 224 0.05 0.50 Step 1924 of 2112 0.90 224 0.04 0.50 Step 1932 of 2112 0.90 224 0.04 0.47 Step 1940 of 2112 0.90 224 0.04 0.48 Step 1948 of 2112 0.90 224 0.05 0.50 Step 1956 of 2112 0.90 224 0.04 0.49 Step 1964 of 2112 0.90 256 0.05 0.54 Step 1972 of 2112 0.91 256 0.05 0.49 Step 1980 of 2112 0.91 256 0.06 0.53 Step 1988 of 2112 0.91 256 0.05 0.50 Step 1996 of 2112 0.91 256 0.05 0.54 Step 2004 of 2112 0.91 256 0.05 0.52 Step 2012 of 2112 0.91 256 0.03 0.50 Step 2020 of 2112 0.91 256 0.05 0.50 Step 2028 of 2112 0.92 256 0.04 0.51 Step 2036 of 2112 0.92 256 0.04 0.51 Step 2044 of 2112 0.92 256 0.05 0.53 Step 2052 of 2112 0.92 256 0.03 0.52 Step 2060 of 2112 0.92 256 0.05 0.49 Step 2068 of 2112 0.92 256 0.05 0.52 Step 2076 of 2112 0.92 256 0.05 0.48 Step 2084 of 2112 0.93 256 0.04 0.52 Step 2092 of 2112 0.93 256 0.03 0.52 Step 2100 of 2112 0.93 256 0.03 0.51 Step 2108 of 2112 0.93 256 0.03 0.49 EXTRACT_OBJECT: sdR-r1-00034753.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 4 0.95 1.61 .0001 4 0.95 1.51 .0002 3 0.95 1.42 .0003 4 0.95 1.58 .0004 2 0.95 1.40 .0005 2 0.95 1.54 .0006 2 0.95 1.65 .0007 3 0.95 1.55 .0008 3 0.95 1.68 .0009 2 0.95 1.61 .0010 2 0.95 1.69 .0011 4 0.95 1.73 .0012 2 0.95 1.78 .0013 2 0.95 1.70 .0014 3 0.95 1.68 .0015 2 0.95 1.84 .0016 3 0.95 1.87 .0017 6 0.95 2.04 .0018 4 0.95 1.92 .0019 2 0.95 1.87 .0020 2 0.95 1.87 .0021 2 0.95 1.97 .0022 4 0.95 2.13 .0023 4 0.95 2.10 .0024 3 0.95 2.25 .0025 2 0.95 1.93 .0026 4 0.95 2.05 .0027 2 0.95 1.97 .0028 2 0.95 1.97 .0029 2 0.95 1.91 .0030 2 0.95 2.23 .0031 3 0.95 2.26 .0032 3 0.95 2.13 .0033 4 0.95 2.06 .0034 2 0.95 2.09 .0035 2 0.95 2.27 .0036 3 0.95 2.24 .0037 2 0.95 2.21 .0038 2 0.95 2.25 .0039 3 0.95 2.19 .0040 1 0.95 2.37 .0041 2 0.95 2.28 .0042 2 0.95 2.21 .0043 2 0.95 2.38 .0044 1 0.95 2.44 .0045 1 0.95 2.44 .0046 2 0.95 2.51 .0047 3 0.95 2.69 .0048 3 0.95 2.51 .0049 1 0.95 2.34 .0050 2 0.95 2.41 .0051 1 0.95 2.38 .0052 3 0.95 2.67 .0053 4 0.95 2.49 .0054 2 0.95 2.65 .0055 3 0.95 2.40 .0056 2 0.95 2.51 .0057 1 0.95 2.57 .0058 2 0.95 2.38 .0059 1 0.95 2.42 .0060 4 0.95 2.46 .0061 2 0.95 2.38 .0062 1 0.95 2.44 .0063 2 0.95 2.73 .0064 4 0.95 2.46 .0065 1 0.95 2.38 .0066 2 0.95 2.40 .0067 1 0.95 2.49 .0068 1 0.95 2.50 .0069 1 0.95 2.49 .0070 2 0.94 2.62 .0071 3 0.94 2.56 .0072 3 0.94 2.63 .0073 1 0.94 2.34 .0074 1 0.94 2.37 .0075 1 0.94 2.40 .0076 2 0.94 2.38 .0077 1 0.94 2.59 .0078 1 0.94 2.30 .0079 1 0.94 2.41 .0080 3 0.94 2.51 .0081 3 0.94 2.44 .0082 1 0.94 2.44 .0083 1 0.94 2.46 .0084 2 0.94 2.58 .0085 2 0.94 2.49 .0086 1 0.94 2.44 .0087 1 0.94 2.31 .0088 2 0.94 2.58 .0089 4 0.94 2.53 .0090 3 0.94 2.66 .0091 2 0.94 2.66 .0092 1 0.94 2.41 .0093 2 0.94 2.49 .0094 1 0.94 2.54 .0095 1 0.94 2.43 .0096 1 0.94 2.43 .0097 1 0.94 2.41 .0098 1 0.94 2.36 .0099 1 0.94 2.40 .0100 2 0.94 2.37 .0101 2 0.94 2.46 .0102 2 0.94 2.41 .0103 3 0.94 2.79 .0104 2 0.94 2.59 .0105 2 0.94 2.45 .0106 1 0.94 2.67 .0107 2 0.94 2.42 .0108 3 0.94 2.43 .0109 2 0.94 2.40 .0110 1 0.94 2.45 .0111 1 0.94 2.36 .0112 1 0.94 2.35 .0113 2 0.94 2.46 .0114 2 0.94 2.52 .0115 3 0.94 2.38 .0116 2 0.94 2.30 .0117 1 0.94 2.35 .0118 2 0.94 2.47 .0119 3 0.94 2.56 .0120 3 0.94 2.73 .0121 4 0.94 2.95 .0122 3 0.94 2.53 .0123 2 0.94 2.47 .0124 2 0.94 2.60 .0125 2 0.94 2.47 .0126 2 0.94 2.66 .0127 3 0.94 2.31 .0128 2 0.94 2.43 .0129 2 0.94 2.51 .0130 2 0.94 2.29 .0131 2 0.94 2.33 .0132 3 0.94 2.39 .0133 2 0.94 2.40 .0134 3 0.94 2.62 .0135 3 0.94 2.85 .0136 3 0.94 2.49 .0137 4 0.94 2.42 .0138 4 0.94 2.59 .0139 3 0.94 2.56 .0140 2 0.94 2.60 .0141 1 0.94 2.45 .0142 1 0.94 2.32 .0143 1 0.94 2.40 .0144 2 0.94 2.67 .0145 2 0.94 2.53 .0146 2 0.94 2.40 .0147 1 0.94 2.44 .0148 1 0.94 2.39 .0149 2 0.94 2.42 .0150 1 0.94 2.46 .0151 3 0.94 2.53 .0152 3 0.94 2.39 .0153 1 0.94 2.56 .0154 2 0.93 2.74 .0155 2 0.93 2.76 .0156 2 0.93 2.43 .0157 2 0.93 2.77 .0158 2 0.93 2.40 .0159 1 0.93 2.43 .0160 1 0.93 2.58 .0161 1 0.93 2.46 .0162 2 0.93 2.54 .0163 3 0.93 2.63 .0164 4 0.93 2.52 .0165 3 0.93 2.60 .0166 3 0.93 2.62 .0167 1 0.93 2.81 .0168 1 0.93 2.53 .0169 2 0.93 2.38 .0170 2 0.93 2.52 .0171 1 0.93 2.49 .0172 1 0.93 2.68 .0173 2 0.93 2.66 .0174 2 0.93 2.65 .0175 1 0.93 2.62 .0176 1 0.93 2.73 .0177 2 0.93 2.76 .0178 3 0.93 2.69 .0179 2 0.93 2.81 .0180 1 0.93 2.88 .0181 2 0.93 2.91 .0182 1 0.93 2.79 .0183 1 0.93 2.88 .0184 2 0.93 2.73 .0185 1 0.93 3.12 .0186 2 0.93 3.22 .0187 2 0.93 3.09 .0188 2 0.93 3.27 .0189 2 0.93 3.03 .0190 1 0.93 3.14 .0191 1 0.93 2.94 .0192 1 0.93 3.12 .0193 1 0.93 3.07 .0194 1 0.93 3.02 .0195 1 0.93 3.07 .0196 1 0.93 3.11 .0197 1 0.93 3.02 .0198 1 0.93 3.19 .0199 1 0.93 3.30 .0200 1 0.93 3.16 .0201 2 0.93 3.17 .0202 1 0.93 3.18 .0203 2 0.93 3.15 .0204 2 0.93 3.34 .0205 2 0.93 3.46 .0206 1 0.93 3.05 .0207 3 0.93 3.32 .0208 1 0.93 3.39 .0209 1 0.93 3.42 .0210 2 0.93 3.42 .0211 3 0.93 3.31 .0212 2 0.93 3.53 .0213 1 0.93 3.36 .0214 1 0.93 3.40 .0215 1 0.93 3.50 .0216 3 0.93 3.56 .0217 2 0.93 3.52 .0218 3 0.93 3.34 .0219 2 0.93 3.63 .0220 4 0.93 3.64 .0221 3 0.93 3.70 .0222 2 0.93 3.63 .0223 3 0.93 3.88 .0224 2 0.93 3.96 .0225 4 0.93 3.77 .0226 2 0.93 3.60 .0227 3 0.93 3.72 .0228 2 0.93 3.72 .0229 2 0.93 3.63 .0230 2 0.93 3.63 .0231 2 0.93 3.79 .0232 1 0.93 4.00 .0233 2 0.93 3.42 .0234 1 0.93 3.56 .0235 3 0.93 3.71 .0236 3 0.93 3.67 .0237 2 0.93 3.53 .0238 2 0.93 3.42 .0239 2 0.93 3.64 .0240 1 0.93 3.49 .0241 1 0.93 3.37 .0242 1 0.93 3.49 .0243 2 0.93 3.42 .0244 1 0.93 3.70 .0245 1 0.93 3.45 .0246 3 0.93 3.31 .0247 3 0.93 3.41 .0248 3 0.93 3.46 .0249 2 0.93 3.37 .0250 2 0.93 3.36 .0251 2 0.93 3.34 .0252 1 0.93 3.57 .0253 2 0.93 3.25 .0254 1 0.93 3.27 .0255 1 0.93 3.25 .0256 2 0.93 3.40 .0257 1 0.93 3.24 .0258 2 0.93 3.56 .0259 2 0.93 3.10 .0260 2 0.93 3.31 .0261 1 0.93 3.34 .0262 4 0.93 3.37 .0263 4 0.93 3.31 .0264 2 0.93 3.28 .0265 5 0.93 3.25 .0266 3 0.93 3.07 .0267 2 0.93 3.42 .0268 3 0.93 3.20 .0269 3 0.93 3.36 .0270 3 0.93 3.26 .0271 2 0.93 3.35 .0272 1 0.93 3.25 .0273 2 0.93 3.06 .0274 1 0.93 3.13 .0275 1 0.93 3.01 .0276 2 0.93 3.20 .0277 1 0.93 3.19 .0278 1 0.93 3.19 .0279 1 0.93 3.10 .0280 1 0.93 3.16 .0281 1 0.93 2.93 .0282 1 0.93 3.09 .0283 1 0.93 3.13 .0284 3 0.93 3.18 .0285 4 0.93 3.09 .0286 2 0.93 3.22 .0287 3 0.93 3.21 .0288 1 0.93 3.16 .0289 1 0.93 3.27 .0290 1 0.93 3.09 .0291 1 0.93 3.04 .0292 1 0.93 3.06 .0293 2 0.92 3.22 .0294 1 0.92 3.14 .0295 2 0.92 3.35 .0296 1 0.92 3.10 .0297 2 0.92 3.15 .0298 2 0.92 3.29 .0299 1 0.92 3.43 .0300 1 0.92 3.06 .0301 1 0.92 3.07 .0302 1 0.92 3.08 .0303 2 0.92 3.41 .0304 2 0.92 3.31 .0305 2 0.92 3.19 .0306 2 0.92 3.33 .0307 2 0.92 3.29 .0308 2 0.92 3.36 .0309 2 0.92 3.32 .0310 1 0.92 3.37 .0311 1 0.92 3.22 .0312 2 0.92 3.25 .0313 3 0.92 3.23 .0314 2 0.92 3.43 .0315 2 0.92 3.52 .0316 2 0.92 3.44 .0317 1 0.92 3.53 .0318 4 0.92 3.23 .0319 1 0.92 3.48 .0320 1 0.92 3.74 .0321 2 0.92 3.52 .0322 2 0.92 3.77 .0323 2 0.92 3.49 .0324 3 0.92 3.40 .0325 1 0.92 3.40 .0326 3 0.92 3.54 .0327 2 0.92 4.03 .0328 2 0.92 3.50 .0329 2 0.92 3.43 .0330 4 0.92 3.76 .0331 4 0.92 3.55 .0332 1 0.92 3.96 .0333 1 0.92 3.75 .0334 2 0.92 4.02 .0335 1 0.92 3.70 .0336 1 0.92 3.64 .0337 1 0.92 3.51 .0338 1 0.92 3.73 .0339 1 0.92 3.66 .0340 2 0.92 3.65 .0341 2 0.92 4.01 .0342 3 0.92 4.00 .0343 2 0.92 4.03 .0344 1 0.92 3.74 .0345 1 0.92 3.88 .0346 1 0.92 3.79 .0347 2 0.92 3.83 .0348 1 0.92 3.89 .0349 1 0.92 3.88 .0350 2 0.92 3.87 .0351 2 0.92 3.78 .0352 1 0.92 4.10 .0353 2 0.92 3.91 .0354 1 0.92 3.81 .0355 1 0.92 3.79 .0356 3 0.92 3.85 .0357 3 0.92 3.67 .0358 4 0.92 4.06 .0359 2 0.92 4.10 .0360 1 0.92 3.61 .0361 1 0.92 3.88 .0362 1 0.92 3.81 .0363 1 0.92 3.72 .0364 1 0.92 3.58 .0365 1 0.92 3.81 .0366 1 0.92 3.69 .0367 3 0.92 3.97 .0368 3 0.92 3.78 .0369 2 0.92 3.84 .0370 1 0.92 4.14 .0371 2 0.92 3.72 .0372 2 0.92 3.72 .0373 3 0.92 3.73 .0374 2 0.92 3.69 .0375 1 0.92 3.86 .0376 1 0.92 3.80 .0377 2 0.92 3.90 .0378 1 0.92 3.51 .0379 2 0.92 3.61 .0380 2 0.92 3.70 .0381 1 0.92 3.60 .0382 1 0.92 3.62 .0383 1 0.92 3.66 .0384 1 0.92 3.62 .0385 1 0.92 3.66 .0386 1 0.92 3.64 .0387 1 0.92 3.83 .0388 2 0.92 3.62 .0389 3 0.92 3.78 .0390 1 0.92 3.73 .0391 2 0.92 3.65 .0392 3 0.92 3.64 .0393 3 0.92 3.71 .0394 2 0.92 3.56 .0395 2 0.92 3.58 .0396 3 0.92 3.64 .0397 2 0.92 3.57 .0398 1 0.92 3.59 .0399 1 0.92 3.89 .0400 2 0.92 3.79 .0401 2 0.92 3.57 .0402 2 0.92 3.62 .0403 2 0.92 3.71 .0404 1 0.92 3.59 .0405 1 0.92 3.57 .0406 3 0.92 3.52 .0407 2 0.92 3.95 .0408 2 0.92 3.57 .0409 2 0.92 3.60 .0410 2 0.92 4.25 .0411 3 0.92 3.61 .0412 1 0.92 4.00 .0413 2 0.92 3.68 .0414 2 0.92 3.60 .0415 1 0.92 3.58 .0416 2 0.92 3.55 .0417 2 0.92 3.55 .0418 1 0.92 3.69 .0419 1 0.92 3.53 .0420 2 0.92 3.41 .0421 1 0.92 3.90 .0422 2 0.92 3.59 .0423 2 0.92 3.84 .0424 2 0.92 3.45 .0425 2 0.92 3.50 .0426 2 0.92 3.52 .0427 2 0.92 3.88 .0428 2 0.92 3.70 .0429 1 0.92 3.73 .0430 1 0.92 3.68 .0431 1 0.92 3.75 .0432 1 0.92 3.77 .0433 3 0.92 3.62 .0434 4 0.92 3.94 .0435 1 0.92 3.98 .0436 2 0.92 3.65 .0437 1 0.92 3.77 .0438 1 0.92 3.61 .0439 2 0.92 3.88 .0440 2 0.92 3.73 .0441 2 0.92 3.75 .0442 1 0.92 3.75 .0443 2 0.92 3.87 .0444 2 0.92 3.81 .0445 4 0.92 3.55 .0446 1 0.92 3.85 .0447 1 0.92 3.69 .0448 2 0.92 3.85 .0449 1 0.92 3.66 .0450 1 0.92 3.80 .0451 1 0.92 3.54 .0452 1 0.92 3.55 .0453 1 0.92 3.71 .0454 1 0.92 3.61 .0455 1 0.92 3.78 .0456 3 0.92 3.77 .0457 2 0.92 4.38 .0458 2 0.92 3.78 .0459 1 0.92 4.02 .0460 2 0.92 4.14 .0461 1 0.92 3.90 .0462 2 0.92 3.63 .0463 3 0.92 3.65 .0464 3 0.92 3.68 .0465 2 0.92 3.61 .0466 1 0.92 3.69 .0467 2 0.92 3.56 .0468 1 0.92 3.68 .0469 1 0.92 3.68 .0470 2 0.92 3.56 .0471 1 0.92 3.55 .0472 1 0.92 3.70 .0473 1 0.92 3.51 .0474 1 0.92 3.65 .0475 2 0.92 3.48 .0476 2 0.92 3.74 .0477 2 0.92 3.42 .0478 1 0.92 3.51 .0479 2 0.92 3.59 .0480 3 0.92 3.75 .0481 3 0.92 3.51 .0482 3 0.92 3.61 .0483 3 0.92 3.34 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.1927 2 0.92 2.41 .1928 2 0.92 2.30 .1929 1 0.92 1.94 .1930 2 0.92 2.13 .1931 2 0.92 2.19 .1932 2 0.92 1.96 .1933 1 0.92 1.95 .1934 1 0.92 1.95 .1935 2 0.92 2.06 .1936 2 0.92 2.08 .1937 3 0.92 2.04 .1938 4 0.92 2.09 .1939 2 0.92 2.35 .1940 1 0.92 2.00 .1941 2 0.92 2.00 .1942 3 0.92 2.27 .1943 2 0.92 2.22 .1944 2 0.92 2.00 .1945 1 0.92 1.97 .1946 3 0.92 1.90 .1947 1 0.92 1.97 .1948 1 0.92 2.01 .1949 2 0.92 1.97 .1950 1 0.92 1.95 .1951 2 0.92 1.97 .1952 2 0.92 2.12 .1953 1 0.92 2.07 .1954 1 0.92 2.08 .1955 1 0.92 2.14 .1956 2 0.92 2.27 .1957 2 0.92 2.39 .1958 1 0.92 2.10 .1959 1 0.92 2.15 .1960 1 0.92 2.21 .1961 1 0.92 2.07 .1962 1 0.92 2.09 .1963 1 0.92 2.05 .1964 1 0.92 2.07 .1965 1 0.92 2.22 .1966 3 0.92 2.15 .1967 3 0.92 2.20 .1968 1 0.92 2.15 .1969 1 0.92 2.10 .1970 1 0.92 2.18 .1971 1 0.92 2.13 .1972 3 0.92 2.13 .1973 2 0.92 2.26 .1974 1 0.92 2.10 .1975 1 0.92 2.13 .1976 2 0.92 2.05 .1977 2 0.92 2.14 .1978 3 0.92 2.09 .1979 3 0.92 2.21 .1980 1 0.92 2.08 .1981 3 0.92 1.96 .1982 2 0.92 2.07 .1983 2 0.92 2.03 .1984 3 0.92 2.12 .1985 2 0.92 1.96 .1986 2 0.92 1.89 .1987 3 0.92 2.21 .1988 2 0.92 2.09 .1989 1 0.92 1.91 .1990 1 0.92 1.92 .1991 1 0.92 2.01 .1992 2 0.92 2.15 .1993 1 0.92 2.02 .1994 1 0.92 2.03 .1995 1 0.92 1.86 .1996 3 0.92 2.00 .1997 2 0.92 2.11 .1998 1 0.92 2.00 .1999 2 0.92 2.20 .2000 1 0.92 2.07 .2001 2 0.92 1.91 .2002 1 0.92 1.97 .2003 2 0.92 2.09 .2004 3 0.92 1.86 .2005 3 0.92 2.09 .2006 2 0.92 2.20 .2007 1 0.92 2.17 .2008 2 0.92 2.09 .2009 2 0.92 2.02 .2010 2 0.92 2.15 .2011 3 0.92 2.06 .2012 2 0.92 2.15 .2013 1 0.92 2.13 .2014 1 0.92 1.92 .2015 1 0.92 1.99 .2016 2 0.92 2.12 .2017 2 0.92 1.97 .2018 1 0.92 2.09 .2019 1 0.92 2.04 .2020 1 0.92 2.09 .2021 3 0.92 2.03 .2022 3 0.92 2.09 .2023 1 0.92 2.01 .2024 3 0.92 2.00 .2025 2 0.92 2.00 .2026 1 0.92 1.87 .2027 2 0.92 2.02 .2028 2 0.92 2.15 .2029 3 0.92 2.35 .2030 3 0.92 1.93 .2031 2 0.92 2.03 .2032 2 0.92 2.12 .2033 2 0.92 2.13 .2034 2 0.92 2.15 .2035 3 0.92 1.97 .2036 2 0.92 1.95 .2037 1 0.92 1.90 .2038 1 0.92 1.84 .2039 2 0.92 1.94 .2040 2 0.92 1.95 .2041 2 0.92 2.06 .2042 2 0.92 1.99 .2043 2 0.92 1.95 .2044 1 0.92 1.97 .2045 1 0.92 2.13 .2046 1 0.92 1.99 .2047 3 0.92 2.03 EXTRACT_IMAGE: sdR-r1-00034753.fit: masked 2258 pixels EXTRACT_OBJECT: sdR-r1-00034753.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034753.fit: WARNING: Scattered light median = 35.7960 electrons QAPLOT_SCATLIGHT: sdR-r1-00034753.fit: WARNING: Scattered light max = 92.1337 electrons EXTRACT_OBJECT: sdR-r1-00034753.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 3 0.95 1.75 .0001 4 0.95 1.54 .0002 3 0.95 1.51 .0003 4 0.95 1.56 .0004 2 0.95 1.42 .0005 2 0.95 1.53 .0006 2 0.95 1.64 .0007 2 0.95 1.56 .0008 2 0.95 1.66 .0009 2 0.95 1.63 .0010 2 0.95 1.69 .0011 4 0.95 1.83 .0012 2 0.95 1.78 .0013 2 0.95 1.78 .0014 3 0.95 1.72 .0015 2 0.95 1.86 .0016 4 0.95 1.89 .0017 6 0.95 2.00 .0018 5 0.95 1.84 .0019 2 0.95 1.91 .0020 2 0.95 1.95 .0021 2 0.95 1.93 .0022 5 0.95 1.98 .0023 4 0.95 1.99 .0024 3 0.95 2.12 .0025 2 0.95 2.08 .0026 4 0.95 1.95 .0027 2 0.95 2.02 .0028 2 0.95 2.02 .0029 2 0.95 2.00 .0030 3 0.95 2.13 .0031 3 0.95 2.19 .0032 3 0.95 2.22 .0033 3 0.95 2.20 .0034 2 0.95 2.12 .0035 2 0.95 2.23 .0036 3 0.95 2.22 .0037 2 0.95 2.36 .0038 2 0.95 2.33 .0039 3 0.95 2.15 .0040 2 0.95 2.31 .0041 3 0.95 2.20 .0042 3 0.95 2.29 .0043 4 0.95 2.28 .0044 2 0.95 2.41 .0045 2 0.95 2.43 .0046 3 0.95 2.44 .0047 5 0.95 2.52 .0048 3 0.95 2.44 .0049 1 0.95 2.43 .0050 5 0.95 2.52 .0051 1 0.95 2.47 .0052 3 0.95 2.63 .0053 3 0.95 2.52 .0054 2 0.95 2.74 .0055 3 0.95 2.51 .0056 2 0.95 2.56 .0057 1 0.95 2.63 .0058 2 0.95 2.40 .0059 1 0.95 2.54 .0060 2 0.95 2.63 .0061 2 0.95 2.47 .0062 1 0.95 2.56 .0063 2 0.95 2.72 .0064 3 0.95 2.61 .0065 1 0.95 2.54 .0066 2 0.95 2.53 .0067 1 0.95 2.57 .0068 1 0.95 2.55 .0069 1 0.95 2.56 .0070 2 0.94 2.63 .0071 3 0.94 2.63 .0072 3 0.94 2.68 .0073 1 0.94 2.50 .0074 1 0.94 2.54 .0075 1 0.94 2.57 .0076 3 0.94 2.40 .0077 1 0.94 2.74 .0078 1 0.94 2.45 .0079 1 0.94 2.52 .0080 3 0.94 2.70 .0081 3 0.94 2.50 .0082 1 0.94 2.55 .0083 1 0.94 2.65 .0084 2 0.94 2.78 .0085 2 0.94 2.58 .0086 1 0.94 2.59 .0087 2 0.94 2.39 .0088 3 0.94 2.75 .0089 4 0.94 2.64 .0090 4 0.94 2.67 .0091 2 0.94 2.72 .0092 1 0.94 2.52 .0093 3 0.94 2.57 .0094 1 0.94 2.67 .0095 1 0.94 2.56 .0096 1 0.94 2.56 .0097 1 0.94 2.50 .0098 1 0.94 2.40 .0099 1 0.94 2.48 .0100 2 0.94 2.44 .0101 2 0.94 2.53 .0102 2 0.94 2.46 .0103 4 0.94 2.56 .0104 2 0.94 2.50 .0105 2 0.94 2.55 .0106 2 0.94 2.62 .0107 2 0.94 2.53 .0108 3 0.94 2.52 .0109 2 0.94 2.44 .0110 1 0.94 2.60 .0111 1 0.94 2.46 .0112 1 0.94 2.49 .0113 2 0.94 2.53 .0114 3 0.94 2.54 .0115 3 0.94 2.53 .0116 2 0.94 2.39 .0117 1 0.94 2.45 .0118 2 0.94 2.64 .0119 3 0.94 2.76 .0120 4 0.94 2.63 .0121 3 0.94 2.83 .0122 3 0.94 2.58 .0123 2 0.94 2.54 .0124 3 0.94 2.54 .0125 2 0.94 2.61 .0126 2 0.94 2.73 .0127 3 0.94 2.40 .0128 2 0.94 2.54 .0129 2 0.94 2.60 .0130 2 0.94 2.43 .0131 2 0.94 2.47 .0132 3 0.94 2.48 .0133 2 0.94 2.48 .0134 2 0.94 2.47 .0135 3 0.94 2.62 .0136 3 0.94 2.61 .0137 3 0.94 2.57 .0138 4 0.94 2.61 .0139 4 0.94 2.49 .0140 2 0.94 2.64 .0141 1 0.94 2.63 .0142 1 0.94 2.44 .0143 2 0.94 2.52 .0144 5 0.94 2.55 .0145 3 0.94 2.63 .0146 2 0.94 2.56 .0147 1 0.94 2.57 .0148 1 0.94 2.44 .0149 2 0.94 2.56 .0150 1 0.94 2.53 .0151 4 0.94 2.54 .0152 3 0.94 2.48 .0153 1 0.94 2.69 .0154 2 0.93 2.81 .0155 2 0.93 2.85 .0156 2 0.93 2.56 .0157 4 0.93 2.72 .0158 2 0.93 2.56 .0159 1 0.93 2.57 .0160 1 0.93 2.77 .0161 1 0.93 2.67 .0162 2 0.93 2.66 .0163 3 0.93 2.78 .0164 3 0.93 2.68 .0165 3 0.93 2.67 .0166 3 0.93 2.77 .0167 2 0.93 2.85 .0168 1 0.93 2.75 .0169 2 0.93 2.61 .0170 2 0.93 2.73 .0171 1 0.93 2.69 .0172 1 0.93 2.77 .0173 2 0.93 2.80 .0174 2 0.93 2.82 .0175 1 0.93 2.79 .0176 1 0.93 2.86 .0177 2 0.93 2.91 .0178 3 0.93 2.82 .0179 2 0.93 2.97 .0180 1 0.93 3.07 .0181 2 0.93 3.06 .0182 1 0.93 2.98 .0183 1 0.93 3.05 .0184 2 0.93 2.93 .0185 2 0.93 3.15 .0186 2 0.93 3.28 .0187 2 0.93 3.22 .0188 2 0.93 3.43 .0189 2 0.93 3.22 .0190 1 0.93 3.30 .0191 1 0.93 3.11 .0192 1 0.93 3.29 .0193 1 0.93 3.22 .0194 1 0.93 3.20 .0195 1 0.93 3.27 .0196 3 0.93 3.13 .0197 1 0.93 3.27 .0198 2 0.93 3.35 .0199 2 0.93 3.39 .0200 1 0.93 3.31 .0201 2 0.93 3.40 .0202 1 0.93 3.39 .0203 2 0.93 3.40 .0204 2 0.93 3.62 .0205 3 0.93 3.49 .0206 1 0.93 3.38 .0207 3 0.93 3.59 .0208 1 0.93 3.64 .0209 1 0.93 3.68 .0210 2 0.93 3.66 .0211 3 0.93 3.56 .0212 3 0.93 3.61 .0213 1 0.93 3.63 .0214 1 0.93 3.80 .0215 1 0.93 3.83 .0216 3 0.93 3.81 .0217 3 0.93 3.72 .0218 3 0.93 3.67 .0219 2 0.93 3.95 .0220 3 0.93 3.90 .0221 3 0.93 3.98 .0222 2 0.93 3.87 .0223 4 0.93 3.77 .0224 3 0.93 3.86 .0225 4 0.93 3.99 .0226 2 0.93 3.91 .0227 3 0.93 3.87 .0228 3 0.93 3.93 .0229 3 0.93 3.87 .0230 2 0.93 3.89 .0231 2 0.93 4.05 .0232 2 0.93 4.00 .0233 2 0.93 3.70 .0234 1 0.93 3.84 .0235 3 0.93 3.99 .0236 4 0.93 3.78 .0237 2 0.93 3.84 .0238 2 0.93 3.58 .0239 2 0.93 3.86 .0240 2 0.93 3.60 .0241 1 0.93 3.60 .0242 1 0.93 3.67 .0243 2 0.93 3.54 .0244 1 0.93 3.81 .0245 1 0.93 3.59 .0246 3 0.93 3.42 .0247 3 0.93 3.66 .0248 3 0.93 3.68 .0249 2 0.93 3.57 .0250 2 0.93 3.48 .0251 2 0.93 3.55 .0252 2 0.93 3.58 .0253 2 0.93 3.38 .0254 1 0.93 3.36 .0255 1 0.93 3.38 .0256 2 0.93 3.56 .0257 2 0.93 3.44 .0258 3 0.93 3.47 .0259 2 0.93 3.23 .0260 2 0.93 3.47 .0261 5 0.93 3.29 .0262 4 0.93 3.56 .0263 4 0.93 3.39 .0264 2 0.93 3.39 .0265 4 0.93 3.56 .0266 2 0.93 3.22 .0267 2 0.93 3.49 .0268 3 0.93 3.27 .0269 3 0.93 3.44 .0270 4 0.93 3.42 .0271 3 0.93 3.42 .0272 1 0.93 3.47 .0273 3 0.93 3.24 .0274 2 0.93 3.24 .0275 1 0.93 3.24 .0276 2 0.93 3.38 .0277 2 0.93 3.44 .0278 1 0.93 3.40 .0279 1 0.93 3.29 .0280 2 0.93 3.37 .0281 1 0.93 3.17 .0282 2 0.93 3.24 .0283 1 0.93 3.38 .0284 2 0.93 3.52 .0285 5 0.93 3.22 .0286 2 0.93 3.52 .0287 3 0.93 3.36 .0288 1 0.93 3.34 .0289 1 0.93 3.56 .0290 2 0.93 3.27 .0291 1 0.93 3.31 .0292 2 0.93 3.27 .0293 2 0.92 3.42 .0294 2 0.92 3.35 .0295 3 0.92 3.47 .0296 1 0.92 3.38 .0297 2 0.92 3.45 .0298 2 0.92 3.53 .0299 1 0.92 3.63 .0300 2 0.92 3.40 .0301 1 0.92 3.33 .0302 1 0.92 3.28 .0303 2 0.92 3.58 .0304 2 0.92 3.54 .0305 3 0.92 3.39 .0306 2 0.92 3.55 .0307 3 0.92 3.39 .0308 3 0.92 3.60 .0309 2 0.92 3.47 .0310 2 0.92 3.63 .0311 2 0.92 3.41 .0312 3 0.92 3.59 .0313 3 0.92 3.51 .0314 2 0.92 3.61 .0315 3 0.92 3.60 .0316 2 0.92 3.63 .0317 2 0.92 3.72 .0318 4 0.92 3.48 .0319 2 0.92 3.68 .0320 3 0.92 3.70 .0321 3 0.92 3.74 .0322 3 0.92 3.88 .0323 2 0.92 3.75 .0324 3 0.92 3.73 .0325 1 0.92 3.73 .0326 5 0.92 3.79 .0327 3 0.92 4.01 .0328 2 0.92 3.85 .0329 2 0.92 3.68 .0330 3 0.92 4.02 .0331 4 0.92 3.76 .0332 2 0.92 3.98 .0333 1 0.92 3.95 .0334 2 0.92 4.06 .0335 1 0.92 4.05 .0336 2 0.92 3.92 .0337 1 0.92 3.81 .0338 1 0.92 4.03 .0339 1 0.92 3.97 .0340 2 0.92 3.84 .0341 4 0.92 4.12 .0342 3 0.92 4.26 .0343 2 0.92 4.28 .0344 1 0.92 4.07 .0345 1 0.92 4.26 .0346 1 0.92 4.14 .0347 2 0.92 4.24 .0348 1 0.92 4.19 .0349 3 0.92 4.03 .0350 2 0.92 4.33 .0351 2 0.92 4.08 .0352 1 0.92 4.37 .0353 2 0.92 4.22 .0354 3 0.92 3.90 .0355 2 0.92 3.96 .0356 4 0.92 4.02 .0357 4 0.92 3.89 .0358 4 0.92 4.12 .0359 2 0.92 4.32 .0360 1 0.92 3.91 .0361 1 0.92 4.11 .0362 1 0.92 4.04 .0363 1 0.92 3.96 .0364 1 0.92 3.89 .0365 1 0.92 4.07 .0366 1 0.92 3.96 .0367 3 0.92 4.22 .0368 3 0.92 3.95 .0369 3 0.92 4.02 .0370 3 0.92 4.22 .0371 2 0.92 3.96 .0372 3 0.92 3.91 .0373 3 0.92 3.99 .0374 2 0.92 3.94 .0375 2 0.92 4.07 .0376 1 0.92 4.10 .0377 2 0.92 4.10 .0378 2 0.92 3.75 .0379 3 0.92 3.88 .0380 2 0.92 3.94 .0381 1 0.92 3.91 .0382 2 0.92 3.92 .0383 1 0.92 3.94 .0384 1 0.92 3.91 .0385 2 0.92 3.97 .0386 2 0.92 3.90 .0387 2 0.92 3.87 .0388 2 0.92 3.87 .0389 3 0.92 4.09 .0390 1 0.92 3.98 .0391 2 0.92 3.93 .0392 3 0.92 3.92 .0393 3 0.92 4.02 .0394 2 0.92 3.88 .0395 2 0.92 3.95 .0396 4 0.92 3.73 .0397 2 0.92 3.88 .0398 1 0.92 3.80 .0399 2 0.92 3.92 .0400 3 0.92 3.82 .0401 2 0.92 3.86 .0402 2 0.92 3.76 .0403 2 0.92 3.84 .0404 1 0.92 3.81 .0405 1 0.92 3.80 .0406 3 0.92 3.85 .0407 3 0.92 4.05 .0408 2 0.92 3.84 .0409 2 0.92 3.88 .0410 2 0.92 4.09 .0411 3 0.92 3.89 .0412 2 0.92 4.11 .0413 2 0.92 3.97 .0414 2 0.92 3.94 .0415 1 0.92 3.79 .0416 2 0.92 3.83 .0417 2 0.92 3.78 .0418 3 0.92 3.90 .0419 1 0.92 3.81 .0420 2 0.92 3.65 .0421 2 0.92 3.93 .0422 2 0.92 3.84 .0423 2 0.92 4.11 .0424 2 0.92 3.69 .0425 2 0.92 3.79 .0426 2 0.92 3.77 .0427 3 0.92 3.96 .0428 2 0.92 4.00 .0429 1 0.92 3.93 .0430 1 0.92 3.96 .0431 1 0.92 4.04 .0432 1 0.92 4.03 .0433 4 0.92 3.87 .0434 4 0.92 4.02 .0435 1 0.92 4.26 .0436 2 0.92 3.98 .0437 1 0.92 4.12 .0438 1 0.92 3.99 .0439 2 0.92 4.23 .0440 2 0.92 3.99 .0441 2 0.92 4.04 .0442 1 0.92 4.07 .0443 2 0.92 4.16 .0444 2 0.92 4.08 .0445 4 0.92 3.77 .0446 2 0.92 4.18 .0447 1 0.92 4.05 .0448 2 0.92 4.04 .0449 1 0.92 4.02 .0450 1 0.92 4.14 .0451 1 0.92 3.89 .0452 2 0.92 3.85 .0453 1 0.92 4.00 .0454 2 0.92 3.93 .0455 1 0.92 4.08 .0456 3 0.92 4.00 .0457 2 0.92 4.51 .0458 4 0.92 3.93 .0459 2 0.92 4.04 .0460 3 0.92 4.29 .0461 3 0.92 4.04 .0462 2 0.92 3.92 .0463 3 0.92 3.93 .0464 3 0.92 3.94 .0465 2 0.92 3.93 .0466 2 0.92 3.81 .0467 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1 0.92 2.33 .1911 1 0.92 2.32 .1912 2 0.92 2.31 .1913 2 0.92 2.39 .1914 1 0.92 2.50 .1915 2 0.92 2.64 .1916 2 0.92 2.59 .1917 1 0.92 2.61 .1918 3 0.92 2.23 .1919 2 0.92 2.22 .1920 1 0.92 2.13 .1921 3 0.92 2.25 .1922 4 0.92 2.34 .1923 1 0.92 2.27 .1924 1 0.92 2.24 .1925 3 0.92 2.14 .1926 3 0.92 2.16 .1927 4 0.92 2.26 .1928 3 0.92 2.40 .1929 1 0.92 2.19 .1930 3 0.92 2.15 .1931 2 0.92 2.26 .1932 2 0.92 2.15 .1933 1 0.92 2.14 .1934 1 0.92 2.05 .1935 2 0.92 2.19 .1936 2 0.92 2.17 .1937 3 0.92 2.17 .1938 3 0.92 2.24 .1939 3 0.92 2.32 .1940 1 0.92 2.15 .1941 2 0.92 2.12 .1942 3 0.92 2.18 .1943 2 0.92 2.30 .1944 2 0.92 2.09 .1945 1 0.92 2.11 .1946 3 0.92 1.98 .1947 1 0.92 2.14 .1948 1 0.92 2.13 .1949 2 0.92 2.10 .1950 1 0.92 2.06 .1951 2 0.92 2.08 .1952 2 0.92 2.22 .1953 1 0.92 2.22 .1954 1 0.92 2.21 .1955 1 0.92 2.23 .1956 2 0.92 2.34 .1957 2 0.92 2.35 .1958 1 0.92 2.26 .1959 1 0.92 2.23 .1960 1 0.92 2.33 .1961 1 0.92 2.20 .1962 1 0.92 2.26 .1963 1 0.92 2.16 .1964 1 0.92 2.19 .1965 2 0.92 2.26 .1966 3 0.92 2.28 .1967 3 0.92 2.30 .1968 1 0.92 2.32 .1969 1 0.92 2.26 .1970 1 0.92 2.29 .1971 1 0.92 2.23 .1972 3 0.92 2.27 .1973 2 0.92 2.34 .1974 1 0.92 2.23 .1975 1 0.92 2.21 .1976 4 0.92 2.16 .1977 2 0.92 2.26 .1978 3 0.92 2.22 .1979 3 0.92 2.23 .1980 1 0.92 2.17 .1981 3 0.92 2.04 .1982 2 0.92 2.21 .1983 2 0.92 2.22 .1984 3 0.92 2.14 .1985 5 0.92 2.05 .1986 2 0.92 2.05 .1987 3 0.92 2.29 .1988 2 0.92 2.19 .1989 1 0.92 2.04 .1990 1 0.92 2.03 .1991 1 0.92 2.10 .1992 2 0.92 2.18 .1993 1 0.92 2.13 .1994 1 0.92 2.17 .1995 1 0.92 2.07 .1996 3 0.92 2.09 .1997 2 0.92 2.28 .1998 1 0.92 2.12 .1999 3 0.92 2.21 .2000 1 0.92 2.23 .2001 2 0.92 2.11 .2002 1 0.92 2.10 .2003 2 0.92 2.18 .2004 3 0.92 2.02 .2005 3 0.92 2.24 .2006 3 0.92 2.26 .2007 2 0.92 2.29 .2008 2 0.92 2.17 .2009 5 0.92 2.26 .2010 2 0.92 2.23 .2011 3 0.92 2.23 .2012 3 0.92 2.20 .2013 1 0.92 2.24 .2014 1 0.92 2.08 .2015 1 0.92 2.07 .2016 2 0.92 2.18 .2017 2 0.92 2.05 .2018 1 0.92 2.17 .2019 1 0.92 2.13 .2020 1 0.92 2.21 .2021 5 0.92 2.13 .2022 3 0.92 2.22 .2023 1 0.92 2.15 .2024 3 0.92 2.09 .2025 2 0.92 2.06 .2026 1 0.92 1.98 .2027 2 0.92 2.10 .2028 2 0.92 2.12 .2029 3 0.92 2.36 .2030 3 0.92 2.03 .2031 2 0.92 2.06 .2032 2 0.92 2.22 .2033 2 0.92 2.25 .2034 3 0.92 2.12 .2035 3 0.92 2.08 .2036 2 0.92 2.09 .2037 1 0.92 1.99 .2038 1 0.92 1.95 .2039 2 0.92 2.06 .2040 2 0.92 2.01 .2041 2 0.92 2.11 .2042 4 0.92 2.13 .2043 2 0.92 2.07 .2044 1 0.92 2.04 .2045 1 0.92 2.22 .2046 1 0.92 2.14 .2047 3 0.92 2.10 EXTRACT_IMAGE: sdR-r1-00034753.fit: masked 3060 pixels DIVIDEFLAT: sdR-r1-00034753.fit: Warning: Reject 243 low points in trace 45 DIVIDEFLAT: sdR-r1-00034753.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034753.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034753.fit: Warning: Reject 529 low points in trace 173 DIVIDEFLAT: sdR-r1-00034753.fit: Warning: Reject 668 low points in trace 174 DIVIDEFLAT: sdR-r1-00034753.fit: Warning: Reject 1051 low points in trace 249 DIVIDEFLAT: sdR-r1-00034753.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034753.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034753.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034753.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034753.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 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152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034753.fit: WARNING: sky shift reference line, sigma 7794.1200 0.062891602 LOCATESKYLINES_2: sdR-r1-00034753.fit: sky shift reference line, offset: 7794.1200 0.061683660 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 8 7.8184286 576.23961 0.27470524 0.94777310 1730.0602 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 17 9.9045752 508.86705 0.30182185 0.94212306 1716.3193 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 28 7.1237974 525.99404 0.25206791 0.93887025 1830.2106 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 32 10.839702 587.55437 0.27399750 0.92032213 1718.2229 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 43 15.053538 589.48937 0.25864990 0.99149776 1752.8495 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 44 11.391264 579.42493 0.25603004 0.98600901 1699.7506 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 70 17.864414 714.63382 0.24475521 0.95805932 1773.1176 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 78 18.856633 637.69718 0.19862531 0.94329502 1711.5809 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 89 10.267523 636.98078 0.24600066 0.97735303 1630.0150 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 95 9.3700808 558.08273 0.28601629 1.0093844 1711.0015 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 101 7.5885584 697.65334 0.19969494 0.93581438 1735.8709 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 123 7.0591876 625.51418 0.24076380 0.96292649 1860.5582 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 124 15.290476 670.94919 0.28118204 0.86967857 1839.5630 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 126 14.052750 667.19632 0.28259323 0.94409867 1789.7404 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 134 11.089982 648.31324 0.23190217 0.96128778 1752.6693 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 156 14.541418 706.53266 0.23413719 0.97637170 1739.3499 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 203 16.872269 669.82672 0.21404328 1.0263363 1737.7610 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 216 16.013505 628.78017 0.19057057 0.99843327 1698.7161 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 218 6.6472669 635.58659 0.20609830 0.99677528 1676.7619 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 245 17.909392 703.86516 0.22146474 0.98053039 1763.6111 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 255 8.4657899 639.03196 0.23246155 0.95095636 1745.7761 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 262 9.4727077 579.42210 0.22097019 0.98802423 1736.5295 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 267 4.2848564 553.80651 0.24751144 1.0372268 1738.9087 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 273 13.720935 620.76882 0.21015838 0.93902647 1758.5505 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 283 8.3029533 667.49988 0.18296039 0.91987708 1849.0013 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 289 12.592668 723.40472 0.16173826 0.94075388 1782.1668 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 311 7.2186653 604.66530 0.17192819 1.0406929 1818.7312 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 314 16.259966 715.07123 0.18655662 0.94956539 1856.2176 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 0 317 10.451625 659.25166 0.16173226 0.97863465 1801.5708 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 0 7.1568515 0.00040504059 0.22778212 0.96348023 0.99821994 LOCATESKYLINES_2: sdR-r1-00034753.fit: sigma-clipped to 221 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034753.fit: comb2 l,chi^2/dof,fit: 0 2.5532121 -0.030234204 0.23088066 1.0020465 1.0163467 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 221 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.2925640.2308810.005190 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 8 2.3259759 502.25847 0.10780111 0.90730181 616.65844 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 17 1.9732312 458.67597 0.44549139 0.98616016 563.64230 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 28 1.7173615 528.09945 0.36441466 0.94275903 517.79385 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 32 1.4339004 501.37232 0.29951017 0.85120697 611.92469 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 43 3.5359347 502.69589 0.33235647 0.93222846 603.92450 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 44 1.4507887 532.97147 0.30045421 0.91286958 599.13931 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 70 3.1517926 662.80197 0.32440373 0.84404088 671.71948 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 78 3.0616277 552.90956 0.26372626 1.0100183 587.48326 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 89 2.7132557 528.24844 0.26641710 0.90416969 628.73014 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 95 4.4708190 563.20531 0.20589483 0.86735983 560.63155 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 101 2.8020616 660.87036 0.31308216 0.89755724 583.45189 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 123 3.2153490 659.22965 0.28505363 0.87328242 585.08098 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 124 4.0192130 620.93355 0.32160296 0.93676787 638.60719 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 126 1.2040218 597.86349 0.32214111 0.94285626 596.75450 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 134 2.7735921 615.21940 0.25502384 0.92977605 596.95630 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 156 1.6304075 685.53296 0.16606466 0.97228762 581.58707 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 203 1.2983766 640.87812 0.10828240 0.95241006 606.56112 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 216 1.7418352 645.51111 0.15402906 0.87536996 567.22084 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 218 1.8317710 605.90259 0.26476263 0.92866207 626.55203 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 245 2.1442900 660.64878 0.23474648 0.87374163 602.69074 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 255 3.0652940 618.79816 0.25217415 0.96696118 603.66596 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 262 4.9763529 571.96174 0.29361197 0.84197029 589.32928 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 267 5.5682978 541.96696 0.27686037 0.96307642 535.45112 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 273 1.1896504 556.10479 0.17837352 0.90563650 586.59246 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 283 2.1644387 625.47512 0.19527633 0.90086730 590.99040 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 289 1.9837640 624.02540 0.19053027 0.98348364 583.72794 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 311 2.3642759 614.33959 0.29706358 1.0146606 574.11003 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 314 5.3547291 656.53233 0.21130850 1.0336827 595.12142 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 1 317 1.1255794 667.81853 0.15168123 0.88524646 558.10297 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 1 1.7667951 0.00085173328 0.25301704 0.92529306 0.99472755 LOCATESKYLINES_2: sdR-r1-00034753.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034753.fit: comb2 l,chi^2/dof,fit: 1 1.6992133 -0.00050400082 0.25296112 0.92689252 0.99578892 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.3146450.2529610.012170 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 8 2.7856293 434.62167 0.32216439 0.85386850 219.52685 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 17 1.5741286 334.39369 0.18638988 1.1124518 271.83720 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 28 2.6082324 340.35928 -0.61943886 2.0000000 222.33147 LOCATESKYLINES_2: sdR-r1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 32 0.98780252 403.56475 0.037665044 0.60108537 256.44206 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 43 2.2434862 420.41713 0.0080564686 1.1154472 254.10823 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 44 2.5594923 401.75651 -0.23278391 1.5600191 265.46157 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 70 2.0506483 606.68312 0.18148205 0.93171028 180.52007 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 78 2.8435215 541.95666 0.17304722 0.93247859 221.36067 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 89 2.5136155 472.14673 0.15870445 0.75307399 262.15650 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 95 2.7480734 484.47369 0.14866476 0.99229260 206.54514 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 101 1.6257771 546.13009 -0.62937608 2.0000000 147.31747 LOCATESKYLINES_2: sdR-r1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 123 1.6302624 589.30479 0.087561630 0.66742114 195.40579 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 124 1.9651182 567.84135 0.26728573 0.73362616 225.02603 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 126 1.0321634 551.46145 0.091475155 1.0831289 178.16960 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 134 2.6695948 532.66540 0.048582599 1.1155213 195.10757 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 156 1.7453780 582.42466 -0.16127045 1.4910230 165.03439 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 203 1.9922283 491.64757 -0.30860967 1.7326728 258.93397 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 216 1.3502221 567.44752 0.015491928 1.0009651 221.92394 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 218 0.80091452 569.06186 0.11919200 0.78542414 208.32285 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 245 1.5696352 561.66432 -0.13375125 1.0594589 159.26003 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 255 1.7053082 552.03531 0.055012744 0.99977307 192.66133 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 262 2.0585918 536.35317 0.60542973 0.91198304 142.46723 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 267 2.7614111 490.69699 0.099124089 1.0958409 148.79942 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 273 1.2477158 539.19827 0.048618369 0.96471837 235.61939 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 283 0.45369287 573.92468 -0.086183541 1.2100233 161.98466 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 289 3.0488795 522.05769 -0.93655094 2.0000000 240.80362 LOCATESKYLINES_2: sdR-r1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 311 3.8613608 592.36087 -0.12790734 0.79310283 168.02907 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 314 1.5005612 599.35201 -0.46612583 1.3277326 200.75055 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 2 317 5.5084391 634.96915 -0.17676810 0.60000000 220.86988 LOCATESKYLINES_2: sdR-r1-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 2 1.3678142 0.023021129 0.089839062 0.99545018 0.95655709 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 225 of 225 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.1515230.0898390.035243 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 8 1.5471832 471.60465 0.37166284 0.67440337 356.81675 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 17 1.1525783 381.63109 0.45311271 0.92379454 386.96771 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 28 2.4233692 465.79249 0.099246490 0.92773670 407.50532 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 32 0.49154844 466.57443 0.20095311 0.93705494 356.10933 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 43 0.70542761 479.93018 0.43488529 1.2801220 311.67151 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 44 1.7743517 521.55533 0.25937087 0.98277867 303.26481 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 70 0.75333256 636.01901 0.20190888 0.91950497 377.94120 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 78 0.78372038 539.44360 0.41394485 0.99311538 320.08181 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 89 1.1887136 515.45987 0.036759322 0.90523024 370.12815 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 95 0.39683117 495.28420 0.28879476 0.98469243 393.82773 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 101 2.3116843 634.15544 0.30192425 0.88028157 381.62464 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 123 0.69510961 633.02023 0.21333300 0.89325398 334.78306 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 124 1.2188218 579.39354 0.16884454 0.96020394 354.45324 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 126 1.5931680 601.54996 0.16133654 0.91941323 355.67021 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 134 4.0420124 592.29274 0.17419975 0.97731673 351.03524 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 156 1.3897241 640.46816 0.047420243 0.96880481 345.11736 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 203 1.4181182 601.41464 0.14098858 1.1509768 376.50933 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 216 1.6662301 614.50950 0.21245134 0.82122396 370.96952 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 218 0.54838355 610.00154 0.26344212 0.95677257 380.79429 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 245 1.7128297 606.84106 0.25426395 1.0334614 365.63132 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 255 2.8486507 598.65487 0.20257699 1.1597617 307.72315 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 262 0.33004093 547.34116 0.14971394 0.86745111 324.86568 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 267 1.8534608 508.65416 0.15890210 0.81571065 432.78078 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 273 0.17967383 543.22184 0.24164333 0.91077356 396.00526 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 283 0.94934100 604.96043 0.37265834 1.0513603 363.24622 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 289 1.3974638 567.63784 0.15673107 1.2001774 379.69264 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 311 0.30765259 620.30954 0.32114834 1.0535488 348.72670 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 314 0.59415815 678.29232 0.28902043 1.0297683 387.07116 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 3 317 1.0535455 628.97074 0.069350380 0.90011140 339.41082 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 3 1.0428992 0.0023232098 0.22107823 0.96920651 0.98421438 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.2827620.2210780.020116 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 8 1.3477559 440.82072 0.21632331 1.0082746 389.74934 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 17 1.6208687 379.43155 0.49408385 1.0885116 440.47635 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 28 1.7708988 486.52701 0.43904960 0.90365009 392.71933 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 32 1.3794118 467.22176 0.34603814 1.0168046 405.14934 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 43 1.0551300 514.39484 0.34530018 1.0838727 329.69473 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 44 1.5324177 521.31491 0.10163991 0.99489517 395.90377 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 70 1.9265365 681.91964 0.26388192 0.86446185 389.18431 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 78 1.3520031 537.13311 0.31321966 0.99404682 433.91090 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 89 1.0657455 544.19322 0.41099627 0.93895860 454.56362 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 95 4.4180679 530.50526 0.22992005 1.0032146 331.48724 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 101 0.32323668 662.60676 0.28987348 0.85066418 354.99964 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 123 0.56799159 631.82710 0.46154626 0.85039332 436.52653 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 124 0.89130119 614.71954 0.38440390 0.86596986 459.18794 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 126 1.6799283 621.93198 0.36942670 0.88471477 432.25160 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 134 4.2395434 598.91102 0.19723665 0.94179424 437.08351 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 156 0.86101782 683.95578 0.20432512 0.92470300 391.97627 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 203 1.2075780 662.26401 0.30639812 0.98704588 332.03963 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 216 0.43040836 661.93846 0.22071065 0.87936814 343.44518 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 218 1.0128828 629.95540 0.31003422 1.0886954 377.12829 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 245 2.3686255 666.15162 0.020973267 0.96590292 353.47069 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 255 0.59545007 612.39888 0.26716389 0.92614191 429.21228 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 262 1.8812494 537.98457 0.38471560 0.95000700 469.39789 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 267 1.3942698 514.75401 0.15441896 0.99674654 405.88260 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 273 2.4717463 589.44622 0.18828310 1.0618740 385.11975 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 283 1.9370712 610.26039 0.33883443 0.80856328 446.05748 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 289 0.77043970 611.88639 0.24145900 0.90389798 405.77910 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 311 3.3732537 638.10544 0.26306391 0.90404529 425.06754 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 314 0.68237699 700.90693 0.28273589 1.0252575 399.87168 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 4 317 0.58102932 699.23401 0.51151747 0.77229265 387.98196 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 4 1.1398596 0.0019498734 0.30079367 0.94154153 0.98872677 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.3624770.3007940.018202 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 8 0.49784768 435.26561 0.17263372 1.1029085 472.30174 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 17 4.0866842 432.41241 0.32183658 1.0247474 474.18349 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 28 0.49674087 456.75306 0.38359465 1.0376586 505.38690 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 32 0.45624790 440.87414 0.27655431 1.0609769 522.16200 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 43 1.4023346 482.32036 0.42331747 1.1236561 468.45111 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 44 1.8892076 517.78145 0.26423472 1.0818667 479.96529 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 70 0.68530309 643.63056 0.25500817 0.90571545 503.48218 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 78 2.0734184 485.19988 0.27049112 1.4012994 445.34386 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 89 1.0200739 523.08698 0.22867736 0.97620848 523.13596 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 95 1.1181359 484.60745 0.34266679 1.0029640 443.47194 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 101 0.83344576 598.04016 0.33099431 1.0337817 524.48473 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 123 2.3928739 593.84249 0.25565027 1.0686137 457.89032 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 124 0.78746499 542.11788 0.19420343 1.0369181 573.16223 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 126 0.49362199 564.48579 0.46340204 0.90458175 577.57220 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 134 1.7974517 538.52456 0.28546442 1.1427035 491.65500 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 156 1.1009721 677.77604 0.24558423 0.83886234 481.83616 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 203 0.85839682 623.91011 0.29804322 0.91455440 503.56045 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 216 1.2441457 603.75378 0.39160943 0.90598042 527.81233 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 218 1.1102964 596.00880 0.40561132 0.89205716 551.82735 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 245 1.7856935 597.71581 0.20907501 0.83088398 526.14498 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 255 0.41115237 563.49541 0.17622769 1.1013986 464.23631 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 262 1.4241434 542.33651 0.40214510 0.66185573 549.01292 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 267 1.3214398 485.27152 0.42344409 1.1303512 470.67725 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 273 1.4130357 511.73031 0.18495432 0.99939566 516.42425 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 283 0.59533121 622.19418 0.29417434 0.92907215 445.42797 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 289 0.36803855 604.85102 0.25368869 0.97035539 466.28984 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 311 1.3971104 565.22017 0.16892435 1.0548649 525.53839 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 314 0.21355893 664.99430 0.40798770 1.0442211 463.36154 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 5 317 2.1232402 638.18693 0.26852313 0.81871926 475.31832 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 5 1.2356163 0.0037151799 0.29116882 0.99152648 0.98522040 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.3528520.2911690.015861 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 8 1.4794142 368.79983 0.092107413 1.0776670 991.90271 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 17 2.1182247 385.98469 0.20498568 1.0067131 945.10149 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 28 1.3679269 365.23761 0.24870914 0.94937246 1043.7325 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 32 0.15666409 424.45503 0.15636104 0.99543127 932.85526 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 43 0.36091848 419.75217 0.24696349 0.93213563 1058.5379 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 44 1.0572389 444.67511 0.27059132 0.98397313 1068.9508 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 70 1.0302741 604.45110 0.25573143 0.95740988 1066.3170 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 78 3.0348759 458.11265 0.19191222 1.0063668 1027.9983 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 89 3.9435488 484.24702 0.25020466 0.88906499 1031.9205 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 95 0.41477929 443.67262 0.12549750 0.97335316 995.69901 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 101 0.69983409 552.19826 0.21239400 0.87372259 1101.9979 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 123 1.6645040 571.61005 0.16920735 0.92749412 981.89326 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 124 5.1074177 529.02345 0.14731891 0.94408369 1100.3945 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 126 0.24721346 548.58352 0.27490382 0.91542795 992.68245 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 134 1.9023160 551.67294 0.14777620 0.96209257 1015.9872 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 156 2.5393156 609.36222 0.15307144 0.93911770 1012.6068 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 203 2.7327663 540.06799 0.21986374 0.98229761 1054.8318 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 216 3.2507979 540.83399 0.12348408 1.0028253 950.26685 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 218 1.2594100 540.04678 0.12091316 0.96026427 1056.8464 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 245 1.7173688 512.42656 0.19408033 1.0378081 1057.9360 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 255 3.0705655 491.57031 0.056823136 1.0087879 965.60728 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 262 3.0267793 482.41233 0.17613788 0.97638703 958.64192 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 267 2.1347963 468.73392 0.14324731 1.0057410 1006.3746 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 273 1.9088157 451.53967 0.20116769 0.94227390 1098.1967 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 283 5.3490044 484.68606 0.12937006 1.0392701 1005.1454 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 289 3.4496240 519.03964 0.19516047 0.95262543 1080.3553 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 311 193.09015 738.51434 0.15869737 0.76082507 821.73379 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 314 1.9348289 587.61716 0.15266485 0.93374421 958.36604 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 6 317 0.93492721 559.77187 0.14126122 0.99421646 1030.6871 LOCATESKYLINES_2: sdR-r1-00034753.fit: trimmed 1high points: 2.5063103 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 6 1.9698390 -0.0025110488 0.18002377 0.96432926 0.99956583 LOCATESKYLINES_2: sdR-r1-00034753.fit: sigma-clipped to 257 of 260 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034753.fit: comb2 l,chi^2/dof,fit: 6 1.5563848 0.00079062564 0.18267378 0.96379393 0.99561091 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 257 of 260 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.2443570.1826740.008439 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 8 1.9665323 383.84955 0.18203425 0.98441326 1237.4721 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 17 1.7015841 347.73111 0.27131609 0.96486181 1249.8925 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 28 1.3008966 423.12529 0.23044255 0.99233983 1178.2769 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 32 0.64676213 398.62465 0.22482328 0.99337148 1252.5815 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 43 1.2534567 395.40437 0.22532548 1.0081301 1235.2189 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 44 2.3409236 470.45459 0.30752909 0.97908642 1255.2797 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 70 3.8622829 595.02785 0.26363219 0.93169023 1237.6796 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 78 0.86301930 483.59403 0.20459946 0.97446239 1264.8745 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 89 2.9279598 471.43915 0.24781038 0.91101190 1259.7508 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 95 2.8968123 467.55195 0.22213495 0.94185168 1193.0932 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 101 0.40937559 575.74711 0.23412211 0.88290860 1315.5085 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 123 2.1916284 600.42440 0.20420361 0.85819514 1239.0925 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 124 3.3860686 562.68508 0.21941865 0.85062776 1346.0085 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 126 4.1576109 519.41750 0.24051655 0.90819038 1269.2414 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 134 5.5961856 496.62447 0.22917640 0.99365798 1257.1879 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 156 1.0765646 613.79160 0.21789505 0.91503631 1281.4941 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 203 5.4659768 523.58968 0.20543622 0.96863737 1342.4777 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 216 2.9981518 521.06308 0.25639673 0.99763121 1230.8128 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 218 2.9328958 534.05643 0.27305308 0.92707817 1220.3377 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 245 3.1643131 566.73347 0.21866933 0.91026232 1313.8960 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 255 0.56487239 493.73185 0.20234714 0.99133440 1280.7630 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 262 1.0731973 472.57270 0.22806086 0.95000838 1262.5449 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 267 4.0146330 415.81827 0.24050961 0.96011754 1333.3148 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 273 0.97111392 478.98850 0.24091788 0.90618513 1153.2295 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 283 1.6002139 494.87960 0.25241979 0.99764459 1248.0055 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 289 2.0463967 529.08686 0.21736028 0.93513008 1281.7635 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 311 1.6813087 515.60416 0.23472264 0.92340800 1274.2871 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 314 1.4909605 573.00283 0.26434545 0.92192671 1227.7362 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 7 317 0.18705999 583.58138 0.12513263 0.89173932 1320.1561 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 7 1.6383829 0.00051811773 0.22762215 0.93993654 0.99818367 LOCATESKYLINES_2: sdR-r1-00034753.fit: sigma-clipped to 259 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034753.fit: comb2 l,chi^2/dof,fit: 7 1.4793533 0.00068525093 0.23247522 0.94605381 0.99575087 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 259 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.2941590.2324750.007029 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 8 0.90477694 133.12442 0.28883870 1.0052775 1634.2056 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 17 2.9503799 219.52596 0.26550251 0.95776808 1582.8348 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 28 3.1673440 183.17714 0.25859549 0.99374703 1490.1730 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 32 1.6634610 209.99799 0.22510555 0.93073815 1549.5155 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 43 0.82594879 229.46207 0.25070017 0.94171325 1634.6725 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 44 0.34325997 227.45577 0.25311616 0.95708692 1566.4443 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 70 1.1866091 385.88589 0.24318725 0.93943182 1478.2196 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 78 1.3945582 232.74252 0.23583710 0.94736746 1523.4362 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 89 0.95783774 266.46935 0.25072288 0.93315389 1574.0468 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 95 3.6287492 214.70015 0.26480127 0.92382037 1457.3220 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 101 2.8675545 349.74242 0.21861854 0.94590027 1516.1174 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 123 2.7249030 312.08591 0.28433014 0.93782852 1533.3869 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 124 3.8736053 289.22738 0.25567490 0.92642051 1566.1343 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 126 3.6105403 278.12174 0.28628437 0.91965968 1619.1038 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 134 1.9092219 296.09941 0.24684168 0.89108536 1582.4314 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 156 1.8800151 363.46379 0.30136946 0.92072046 1599.8376 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 203 0.74177557 331.53334 0.22906761 0.96295211 1488.3699 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 216 1.4895166 225.50420 0.27022884 0.97817234 1540.6635 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 218 1.3928652 263.50276 0.24889175 0.94959715 1553.5834 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 245 2.0374014 285.78973 0.23532239 1.0275641 1427.6693 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 255 2.4009911 233.20184 0.25763532 1.0240539 1537.1411 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 262 2.4556008 209.73893 0.22992691 1.0077250 1478.0866 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 267 1.0547398 186.20759 0.21457438 0.98903251 1475.2521 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 273 1.6459644 194.12162 0.27875500 0.95719141 1535.1077 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 283 2.4565221 266.68570 0.24459943 0.95109468 1535.7749 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 289 2.5174629 258.61260 0.25728999 0.96458230 1558.2275 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 311 160.64651 230.51235 -0.18646881 1.0396744 1884.7651 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 314 3.1645959 280.40609 0.27993084 1.0125062 1489.7057 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 8 317 1.7831340 322.48290 0.26438035 0.88243293 1588.8369 LOCATESKYLINES_2: sdR-r1-00034753.fit: trimmed 1high points: 2.4761805 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 8 1.7479720 0.00098010128 0.25259558 0.95320961 0.98971580 LOCATESKYLINES_2: sdR-r1-00034753.fit: sigma-clipped to 258 of 260 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034753.fit: comb2 l,chi^2/dof,fit: 8 1.5154736 0.0011115496 0.25474928 0.94999692 0.99920829 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 258 of 260 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.3164330.2547490.005632 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 8 1.4023177 223.71599 0.30803268 0.96059766 1612.1674 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 17 2.6490799 197.80922 0.22175935 1.0659672 1671.0627 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 28 3.5692468 208.91135 0.26352725 0.96632900 1664.9588 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 32 2.8988532 237.20770 0.23968884 0.95843219 1745.7624 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 43 2.3377586 190.23655 0.32221875 1.0088235 1783.5645 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 44 5.2739213 252.25415 0.29514125 0.98052931 1736.1573 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 70 4.4611776 340.98698 0.27990983 1.0053127 1804.5228 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 78 3.1400152 251.76490 0.22223639 0.95811866 1722.5694 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 89 3.5109470 251.59095 0.30321807 0.97365244 1698.2308 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 95 3.2832377 198.76637 0.21293751 1.0147830 1699.7919 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 101 1.0742236 334.98706 0.28620967 0.92487392 1739.3389 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 123 0.52977690 325.73816 0.23980403 0.88353542 1817.1651 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 124 1.6614485 342.38218 0.31600196 0.82458934 1757.8425 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 126 1.4181092 276.24051 0.26934340 0.91004893 1715.3891 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 134 1.3630681 274.75598 0.27648750 0.91448583 1790.3544 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 156 2.2713051 345.29285 0.22038894 0.99615437 1677.8664 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 203 1.2986253 303.59443 0.22748691 0.95970004 1706.9967 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 216 1.9955394 261.26823 0.24614388 0.94554761 1752.2746 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 218 0.99479288 271.45337 0.21385132 1.0383878 1600.9100 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 245 3.3248868 250.39638 0.28245664 0.97708174 1789.3838 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 255 1.1599802 287.12275 0.22736837 0.93346958 1807.4292 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 262 1.5263487 268.77175 0.34058141 0.96327238 1654.4726 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 267 3.6980763 175.01969 0.26003998 1.0003024 1665.7053 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 273 3.3532717 237.62760 0.23675704 0.92683467 1718.3658 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 283 3.4783876 277.19962 0.18444176 0.92468452 1707.6178 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 289 0.49324480 306.30041 0.22302455 0.90838550 1831.3431 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 311 4.3744621 270.20237 0.26046164 0.97957508 1688.3338 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 314 1.7096680 321.93111 0.22112498 0.97277143 1676.6479 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 9 317 0.95566721 318.98338 0.16142055 0.97564851 1681.1812 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 9 2.2134657 0.00040526530 0.25380644 0.95822300 0.99675128 LOCATESKYLINES_2: sdR-r1-00034753.fit: sigma-clipped to 258 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034753.fit: comb2 l,chi^2/dof,fit: 9 1.9589416 0.00073251664 0.25248770 0.96170590 0.99697387 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 258 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.3141710.2524880.005214 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 8 1.7866790 68.048784 0.39216779 1.0005259 1556.3450 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 17 3.3799624 112.08641 0.33613631 1.0080337 1521.4571 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 28 1.9802279 111.31075 0.26426719 0.97297268 1562.8562 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 32 2.9858962 93.510195 0.31811648 0.94831189 1690.0156 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 43 2.7765948 130.61982 0.25583684 0.99622802 1629.1043 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 44 1.7469575 140.16810 0.24082569 1.0425095 1536.2565 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 70 0.92076619 256.88387 0.18456726 0.92415492 1565.8227 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 78 0.88291926 164.76214 0.22180709 0.93453008 1520.1332 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 89 0.53254522 138.37121 0.30356472 0.95323196 1503.2238 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 95 2.7701878 110.54512 0.30947891 0.89368665 1497.5595 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 101 2.7749735 195.44921 0.27696661 0.97963886 1582.8354 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 123 3.4913409 186.55174 0.26851129 0.90366392 1534.4313 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 124 1.5620110 163.14110 0.32443923 0.94597566 1539.3419 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 126 3.1107714 143.25356 0.34435154 0.94057324 1521.2553 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 134 2.3566647 133.33406 0.29779058 0.95810077 1511.7199 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 156 3.6570060 224.55630 0.22716328 0.97531452 1603.6378 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 203 0.10019165 152.44730 0.21395824 0.96545378 1629.5378 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 216 3.1885889 131.77690 0.26055532 0.99236022 1551.1635 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 218 4.9355850 169.03467 0.28993411 0.97070180 1529.0618 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 245 0.56605116 181.88605 0.25159605 0.96739392 1559.6339 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 255 1.2681890 129.48833 0.27319731 0.93772281 1607.7821 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 262 2.6011420 132.50531 0.31990465 0.92687623 1507.3079 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 267 0.75306824 67.893769 0.33287736 1.0299542 1390.9995 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 273 2.0763400 70.812985 0.30431167 0.99838882 1496.3218 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 283 1.7277285 109.53005 0.27852660 1.0491613 1598.4745 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 289 1.6037284 161.34609 0.30384017 0.92405678 1639.3040 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 311 0.26252621 117.49708 0.26755136 0.94798479 1586.6245 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 314 1.8148394 148.79700 0.21969658 0.95346534 1579.6674 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 10 317 1.5143179 164.31325 0.18524858 0.96520430 1624.4223 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 10 1.7931634 0.00028121215 0.27476063 0.96411459 0.99759404 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.3364440.2747610.005340 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 8 4.5115274 114.79507 0.34720901 0.92819678 1827.2201 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 17 2.2288787 104.41451 0.27394705 0.96324158 1876.1339 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 28 1.0276075 137.03399 0.32423866 0.97452415 1773.5674 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 32 4.5027860 109.94302 0.30671678 0.94233388 1869.7557 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 43 1.0107379 143.87844 0.31301704 0.93598823 1842.0573 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 44 1.6421220 128.58461 0.30879098 1.0132243 1857.5587 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 70 1.5015553 243.01012 0.26866770 0.92934277 1775.4819 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 78 2.4666169 131.60874 0.23789271 0.92155576 1793.8146 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 89 0.54287312 108.34055 0.26566545 0.97945792 1844.5905 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 95 4.0696318 119.00956 0.25733901 0.90648497 1639.5495 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 101 0.89238309 207.56303 0.30095781 0.95054647 1789.9425 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 123 0.60561009 185.61704 0.27543507 0.89812555 1783.7426 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 124 0.58695404 161.07322 0.30593323 0.91655936 1849.6361 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 126 2.6562392 149.53618 0.31907127 0.91391007 1758.7450 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 134 2.1014449 95.444814 0.29265145 1.0020341 1726.4983 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 156 3.9308844 253.78297 0.24613227 0.93576304 1927.7626 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 203 1.3000421 186.61686 0.23821586 0.97663572 1769.0458 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 216 1.6853893 135.51585 0.26847423 0.98208572 1738.6865 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 218 5.8346943 155.03946 0.29298215 0.92153445 1765.3580 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 245 0.88572527 163.82823 0.18096702 0.98966804 1778.4743 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 255 1.2437301 169.97748 0.28923666 0.94579564 1801.9649 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 262 1.1121250 125.77388 0.21645924 0.93555965 1682.4294 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 267 0.80699405 56.860972 0.33799201 1.0288987 1676.7723 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 273 0.85942754 109.41787 0.32026344 0.95613430 1681.1727 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 283 3.0765419 135.25574 0.31240238 0.99247992 1739.9912 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 289 2.7246471 177.54957 0.26202817 0.94541752 1729.2046 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 311 1.5778886 149.35538 0.25969096 0.97494957 1752.7231 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 314 1.3873160 175.28488 0.24789481 0.98230045 1703.5689 LOCATESKYLINES_2: sdR-r1-00034753.fit: l,f,chi^2/dof,c: 11 317 0.55360716 169.91448 0.24642437 0.93427423 1734.4379 LOCATESKYLINES_2: sdR-r1-00034753.fit: comb1 l,chi^2/dof,fit: 11 1.6612365 0.00026433046 0.27926419 0.95157553 0.99886434 LOCATESKYLINES_2: sdR-r1-00034753.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034753.fit: offset, refoff, sigma: 0.3409480.2792640.004803 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 FITMEANX: sdR-r1-00034753.fit: In skyline number 0 std-dev is 0.019309790 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 1 std-dev is 0.039865274 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 2 std-dev is 0.046214879 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 3 std-dev is 0.037113389 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 4 std-dev is 0.045394726 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 5 std-dev is 0.037027685 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 6 std-dev is 0.035603599 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 7 std-dev is 0.025602321 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 8 std-dev is 0.021460452 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 9 std-dev is 0.036019343 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 10 std-dev is 0.046071582 pix FITMEANX: sdR-r1-00034753.fit: In skyline number 11 std-dev is 0.033609223 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 6300.3040 coadded std-dev is 0.00519018 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 6363.7760 coadded std-dev is 0.0121704 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 6553.6100 coadded std-dev is 0.0352431 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 6923.2100 coadded std-dev is 0.0201163 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 6949.0300 coadded std-dev is 0.0182020 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 7571.7500 coadded std-dev is 0.0158614 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 7794.1200 coadded std-dev is 0.00843938 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 7821.5100 coadded std-dev is 0.00702860 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 8399.1600 coadded std-dev is 0.00563155 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 8430.1700 coadded std-dev is 0.00521431 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 8885.8300 coadded std-dev is 0.00534036 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: In sky feature at 8919.6100 coadded std-dev is 0.00480276 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034753.fit: Median arc shift = 0.30069032 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: Dispersion in arc shift = 0.014617621 pix LOCATESKYLINES_2: sdR-r1-00034753.fit: Maximum sky-line shift is 0.35399686 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Number of sky fibers = 24 ROW NITER SIG(med) CHI^2 .0000 12 0.86 1.71 .0001 10 0.86 0.85 .0002 5 0.86 0.91 .0003 7 0.86 0.81 .0004 7 0.86 1.05 .0005 8 0.86 0.91 .0006 11 0.86 0.76 .0007 15 0.86 1.87 .0008 3 0.86 1.32 .0009 11 0.86 0.81 .0010 4 0.86 1.03 .0011 7 0.86 1.85 .0012 12 0.86 0.73 .0013 7 0.86 0.83 .0014 10 0.86 0.79 .0015 7 0.86 0.98 .0016 4 0.86 0.94 .0017 3 0.86 1.14 .0018 14 0.86 1.64 .0019 13 0.86 1.04 .0020 6 0.86 0.98 .0021 12 0.86 0.83 .0022 9 0.86 0.88 .0023 9 0.86 0.78 .0024 16 0.86 1.03 .0025 7 0.86 1.00 .0026 4 0.86 1.00 .0027 10 0.86 0.83 .0028 3 0.86 1.41 .0029 14 0.86 1.40 .0030 12 0.86 0.88 .0031 5 0.86 0.83 .0032 3 0.86 1.27 .0033 12 0.86 0.96 .0034 5 0.86 0.95 .0035 8 0.86 0.94 .0036 13 0.86 1.54 .0037 7 0.86 0.93 .0038 12 0.86 0.73 .0039 6 0.86 0.99 .0040 8 0.86 0.81 .0041 6 0.86 0.90 .0042 12 0.86 0.81 .0043 3 0.86 1.44 .0044 5 0.86 1.13 .0045 11 0.86 0.62 .0046 10 0.86 0.67 .0047 12 0.86 0.72 .0048 5 0.86 0.90 .0049 6 0.86 0.95 .0050 7 0.86 0.95 .0051 9 0.86 0.85 .0052 7 0.86 1.00 .0053 12 0.86 0.96 .0054 12 0.86 0.79 .0055 12 0.86 0.91 .0056 10 0.86 0.85 .0057 5 0.86 1.16 .0058 12 0.86 0.87 .0059 12 0.86 0.85 .0060 4 0.85 1.09 .0061 3 0.85 1.27 .0062 4 0.85 1.41 .0063 4 0.85 1.14 .0064 3 0.85 1.20 .0065 3 0.85 1.19 .0066 12 0.85 0.89 .0067 2 0.85 1.53 .0068 3 0.85 1.43 .0069 1 0.85 1.43 .0070 5 0.85 1.46 .0071 13 0.85 1.02 .0072 4 0.85 1.27 .0073 4 0.85 1.21 .0074 2 0.85 1.19 .0075 3 0.85 1.22 .0076 12 0.85 0.79 .0077 13 0.85 1.00 .0078 2 0.85 1.61 .0079 16 0.85 0.88 .0080 12 0.83 0.70 .0081 12 0.83 0.76 .0082 8 0.83 0.86 .0083 13 0.83 0.83 .0084 12 0.83 1.17 .0085 7 0.83 0.89 .0086 11 0.83 0.79 .0087 6 0.83 1.09 .0088 11 0.83 0.80 .0089 5 0.83 1.17 .0090 0 0.83 0.00 .0091 1 0.83 0.36 .0092 8 0.83 0.78 .0093 12 0.83 0.90 .0094 17 0.83 1.44 .0095 2 0.83 1.32 .0096 7 0.83 0.82 .0097 9 0.83 0.88 .0098 4 0.83 0.73 .0099 12 0.83 1.13 .0100 3 0.83 1.15 .0101 4 0.83 1.55 .0102 3 0.83 1.61 .0103 3 0.83 1.56 .0104 3 0.83 1.22 .0105 2 0.83 1.35 .0106 1 0.83 1.19 .0107 2 0.83 1.35 .0108 2 0.83 1.26 .0109 3 0.83 1.49 .0110 2 0.83 1.60 .0111 2 0.83 1.63 .0112 3 0.83 1.61 .0113 3 0.83 1.45 .0114 2 0.83 1.44 .0115 3 0.83 1.30 .0116 3 0.83 1.39 .0117 3 0.83 1.43 .0118 2 0.83 1.69 .0119 3 0.83 1.48 .0120 13 0.81 1.27 .0121 12 0.81 1.19 .0122 7 0.81 0.83 .0123 4 0.81 1.42 .0124 2 0.81 1.56 .0125 16 0.81 1.24 .0126 3 0.81 1.47 .0127 11 0.81 0.86 .0128 12 0.81 0.81 .0129 8 0.81 0.89 .0130 12 0.81 0.96 .0131 4 0.81 1.11 .0132 5 0.81 0.96 .0133 15 0.81 2.42 .0134 3 0.81 1.44 .0135 12 0.81 0.64 .0136 10 0.81 0.80 .0137 17 0.81 1.61 .0138 15 0.81 0.93 .0139 14 0.81 1.35 .0140 3 0.82 1.24 .0141 4 0.82 0.98 .0142 4 0.82 1.09 .0143 3 0.82 1.70 .0144 4 0.82 1.32 .0145 3 0.82 1.01 .0146 4 0.82 1.26 .0147 2 0.82 1.26 .0148 3 0.82 1.47 .0149 6 0.82 1.04 .0150 7 0.82 1.26 .0151 3 0.82 1.53 .0152 1 0.82 1.64 .0153 3 0.82 1.49 .0154 4 0.82 1.54 .0155 3 0.82 1.49 .0156 3 0.82 1.66 .0157 3 0.82 1.44 .0158 3 0.82 1.78 .0159 2 0.82 1.42 .0160 4 0.82 1.49 .0161 3 0.82 1.31 .0162 3 0.82 1.58 .0163 3 0.82 1.84 .0164 3 0.82 1.46 .0165 4 0.82 1.60 .0166 2 0.82 1.57 .0167 5 0.82 1.46 .0168 1 0.82 1.60 .0169 2 0.82 1.94 .0170 3 0.82 2.02 .0171 4 0.82 1.37 .0172 4 0.82 1.95 .0173 4 0.82 0.83 .0174 3 0.82 0.57 .0175 2 0.82 1.96 .0176 4 0.82 1.41 .0177 5 0.82 1.42 .0178 3 0.82 1.56 .0179 2 0.82 2.18 .0180 10 0.82 0.85 .0181 4 0.82 0.88 .0182 4 0.82 1.05 .0183 4 0.82 1.23 .0184 2 0.82 1.47 .0185 2 0.82 1.03 .0186 3 0.82 1.48 .0187 3 0.82 1.12 .0188 3 0.82 0.85 .0189 4 0.82 1.41 .0190 2 0.82 1.08 .0191 2 0.82 1.54 .0192 2 0.82 1.50 .0193 4 0.82 1.30 .0194 7 0.82 0.85 .0195 5 0.82 1.27 .0196 5 0.82 1.35 .0197 12 0.82 0.96 .0198 2 0.82 1.14 .0199 3 0.82 1.00 .0200 11 0.81 0.65 .0201 6 0.81 1.01 .0202 11 0.81 0.94 .0203 3 0.81 1.22 .0204 8 0.81 0.88 .0205 10 0.81 0.88 .0206 9 0.81 0.72 .0207 5 0.81 0.96 .0208 6 0.81 0.84 .0209 12 0.81 0.84 .0210 13 0.81 0.91 .0211 13 0.81 2.59 .0212 10 0.81 0.84 .0213 13 0.81 0.79 .0214 7 0.81 0.90 .0215 5 0.81 0.84 .0216 2 0.81 1.40 .0217 14 0.81 1.15 .0218 2 0.81 1.44 .0219 14 0.81 1.25 .0220 13 0.82 0.90 .0221 2 0.82 1.04 .0222 10 0.82 0.84 .0223 2 0.82 1.10 .0224 16 0.82 1.13 .0225 6 0.82 0.90 .0226 12 0.82 0.91 .0227 9 0.82 0.83 .0228 18 0.82 1.12 .0229 3 0.82 0.92 .0230 5 0.82 1.05 .0231 18 0.82 0.97 .0232 3 0.82 1.33 .0233 2 0.82 1.35 .0234 2 0.82 1.52 .0235 6 0.82 1.20 .0236 6 0.82 1.15 .0237 4 0.82 1.08 .0238 2 0.82 1.63 .0239 2 0.82 3.07 .0240 10 0.83 1.00 .0241 13 0.83 1.55 .0242 5 0.83 0.99 .0243 12 0.83 0.71 .0244 12 0.83 0.69 .0245 5 0.83 1.06 .0246 10 0.83 0.85 .0247 5 0.83 0.94 .0248 2 0.83 0.80 .0249 5 0.83 0.39 .0250 10 0.83 0.83 .0251 0 0.83 0.00 .0252 11 0.83 0.77 .0253 16 0.83 1.46 .0254 9 0.83 0.98 .0255 4 0.83 1.30 .0256 4 0.83 0.91 .0257 12 0.83 0.92 .0258 10 0.83 0.78 .0259 8 0.83 0.77 .0260 12 0.84 0.98 .0261 7 0.84 0.94 .0262 3 0.84 1.23 .0263 8 0.84 0.85 .0264 20 0.84 1.32 .0265 14 0.84 1.70 .0266 7 0.84 1.10 .0267 1 0.84 1.19 .0268 11 0.84 0.73 .0269 12 0.84 0.92 .0270 10 0.84 0.76 .0271 13 0.84 1.13 .0272 16 0.84 1.21 .0273 3 0.84 1.32 .0274 14 0.84 0.97 .0275 13 0.84 1.02 .0276 16 0.84 1.52 .0277 7 0.84 0.91 .0278 8 0.84 0.96 .0279 8 0.84 0.94 .0280 7 0.82 0.96 .0281 8 0.82 1.05 .0282 12 0.82 0.82 .0283 3 0.82 1.40 .0284 12 0.82 0.67 .0285 12 0.82 0.84 .0286 6 0.82 0.83 .0287 9 0.82 0.94 .0288 12 0.82 1.13 .0289 3 0.82 1.44 .0290 15 0.82 1.27 .0291 11 0.82 0.80 .0292 4 0.82 1.01 .0293 11 0.82 0.78 .0294 0 0.82 0.00 .0295 15 0.82 0.78 .0296 7 0.82 0.93 .0297 13 0.82 1.13 .0298 1 0.82 1.09 .0299 3 0.82 1.11 .0300 10 0.84 0.89 .0301 2 0.84 0.86 .0302 6 0.84 0.84 .0303 14 0.84 2.18 .0304 6 0.84 0.90 .0305 11 0.84 0.65 .0306 3 0.84 0.94 .0307 13 0.84 0.98 .0308 8 0.84 0.79 .0309 12 0.84 0.66 .0310 14 0.84 1.10 .0311 2 0.84 1.49 .0312 4 0.84 0.87 .0313 16 0.84 1.27 .0314 3 0.84 1.38 .0315 16 0.84 1.23 .0316 12 0.84 1.22 .0317 4 0.84 1.34 .0318 12 0.84 0.77 .0319 4 0.84 0.99 EXTRACT_IMAGE: sdR-r1-00034753.fit: masked 2519 pixels SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 0 median sigma(arc)= 0.86431120 sigma(sky)= 0.93050890 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 0 sigma^2(add)= 0.11228290 +/- 0.19482243 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 1 median sigma(arc)= 0.86109509 sigma(sky)= 1.1700107 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 1 sigma^2(add)= 0.62743875 +/- 0.54909843 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 2 median sigma(arc)= 0.85311554 sigma(sky)= -2098.4304 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 2 sigma^2(add)= 4403409.5 +/- 4417451.4 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 3 median sigma(arc)= 0.84388242 sigma(sky)= 1.1412782 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 3 sigma^2(add)= 0.59082027 +/- 0.61656953 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 4 median sigma(arc)= 0.84351750 sigma(sky)= 1.2390518 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 4 sigma^2(add)= 0.82400297 +/- 0.45977516 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 5 median sigma(arc)= 0.84401460 sigma(sky)= 0.66583208 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 5 sigma^2(add)= -0.20903179 +/- 0.51513632 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 6 median sigma(arc)= 0.84792384 sigma(sky)= 0.92734032 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 6 sigma^2(add)= 0.14127679 +/- 0.24926084 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 7 median sigma(arc)= 0.84852193 sigma(sky)= 1.0171033 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 7 sigma^2(add)= 0.31453626 +/- 0.24872176 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 8 median sigma(arc)= 0.86630500 sigma(sky)= 0.91253124 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 8 sigma^2(add)= 0.077314283 +/- 0.13026354 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 9 median sigma(arc)= 0.86750895 sigma(sky)= 0.91793198 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 9 sigma^2(add)= 0.085078308 +/- 0.13820851 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 10 median sigma(arc)= 0.88759686 sigma(sky)= 0.95494818 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 10 sigma^2(add)= 0.11676582 +/- 0.093880195 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 11 median sigma(arc)= 0.88924698 sigma(sky)= 0.94773014 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Line # 11 sigma^2(add)= 0.10743246 +/- 0.10113339 SKYLINE_DISPERSION: sdR-r1-00034753.fit: Flexure sigma^2(add) = 0.090353796 +/- 0.11499183 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034753.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034753.fit: Heliocentric correction = 23.254874 km/s FITVACSET: sdR-r1-00034753.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034753.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034753.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034753.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-r1-00034753.fit: Number of sky fibers = 15 SKYSUBTRACT: sdR-r1-00034753.fit: Airmass range = 1.14532 1.17425 SKYSUBTRACT: sdR-r1-00034753.fit: Discarding 0.00468750 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 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2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034753.fit: Median sky-residual chi2 = 3.68689 SKYSUBTRACT: sdR-r1-00034753.fit: Max sky-residual chi2 = 36.9460 EXTRACT_OBJECT: sdR-r1-00034753.fit: Calling skysubtract again; masked skyfibers 8 SKYSUBTRACT: sdR-r1-00034753.fit: Number of sky fibers = 14 SKYSUBTRACT: sdR-r1-00034753.fit: Airmass range = 1.14532 1.17425 SKYSUBTRACT: sdR-r1-00034753.fit: Discarding 0.00502232 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 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Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034753.fit: Median sky-residual chi2 = 3.14811 SKYSUBTRACT: sdR-r1-00034753.fit: Max sky-residual chi2 = 32.9441 QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 29 = -85.1751 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 44 = -70.1006 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 45 = -50.3534 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 90 = -44.8647 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 102 = 42.6472 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 157 = 70.4460 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 204 = 22.9956 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 246 = 21.5164 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 315 = 39.0888 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 318 = 27.6737 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Median sky-residual chi = 1.77320 QAPLOT_SKYSUB: sdR-r1-00034753.fit: Max sky-residual chi = 6.56059 at 6565.0283 Ang QAPLOT_SKYSUB: sdR-r1-00034753.fit: WARNING: Max sky-residual chi = 6.56059 at 6565.0283 Ang SKYSUBTRACT: sdR-r1-00034753.fit: Number of sky fibers = 14 SKYSUBTRACT: sdR-r1-00034753.fit: Airmass range = 1.14532 1.17425 SKYSUBTRACT: sdR-r1-00034753.fit: Discarding 0.00502232 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 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2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034753.fit: Median sky-residual chi2 = 2.01405 SKYSUBTRACT: sdR-r1-00034753.fit: Max sky-residual chi2 = 13.9828 QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 29 = -12.3988 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 44 = -15.0725 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 90 = -34.6395 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 102 = 43.8521 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 157 = 40.4882 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 204 = -16.4580 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 246 = -12.8580 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 256 = -40.7569 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 284 = -26.5450 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 290 = -14.9462 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 315 = 36.8554 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Warning: Median sky-sub flux in sky fiber 318 = 29.0508 electrons QAPLOT_SKYSUB: sdR-r1-00034753.fit: Median sky-residual chi = 1.43419 QAPLOT_SKYSUB: sdR-r1-00034753.fit: Max sky-residual chi = 3.82056 at 6565.0283 Ang QAPLOT_SKYLINE: sdR-r1-00034753.fit: Airmass range = 1.15 1.17 QAPLOT_SKYLINE: sdR-r1-00034753.fit: Flux dispersion for skyline 7343.0 = 2.29 % QAPLOT_SKYLINE: sdR-r1-00034753.fit: Airmass range = 1.15 1.17 QAPLOT_SKYLINE: sdR-r1-00034753.fit: Flux dispersion for skyline 8888.3 = 4.37 % SPADD_GUIDERINFO: sdR-r1-00034753.fit: Number of guider frames = 11 SPREDUCE: sdR-r1-00034753.fit: Elapsed time = 254. seconds SPREDUCE: sdR-r1-00034754.fit: Reading object sdR-r1-00034754.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034754.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034754.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034754.fit: Measured read-noise in DN for amp# 2 = 3.94155 SDSSPROC: sdR-r1-00034754.fit: Measured bias value in DN for amp# 2 = 1182.16 SDSSPROC: sdR-r1-00034754.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034754.fit: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: sdR-r1-00034754.fit: Measured read-noise in DN for amp# 3 = 3.58215 SDSSPROC: sdR-r1-00034754.fit: Measured bias value in DN for amp# 3 = 1232.35 SDSSPROC: sdR-r1-00034754.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034754.fit: Amp #3 Number of pix below bias-5*sigma= 1212. DN is 0 SDSSPROC: sdR-r1-00034754.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034754.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034754.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034754.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034754.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034754.fit: Science 25-th-percentile = 447.594 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034754.fit: Whopping fibers: 7 36 66 71 77 94 125 130 133 135 210 217 220 241 243 250 253 257 264 272 276 290 293 303 310 315 EXTRACT_OBJECT: sdR-r1-00034754.fit: Median counts in all fibers = 14076.4 EXTRACT_OBJECT: sdR-r1-00034754.fit: Number of bright fibers = 26 EXTRACT_OBJECT: sdR-r1-00034754.fit: Sky fiber median 1717.13 EXTRACT_OBJECT: sdR-r1-00034754.fit: 5% and 95% count levels 942.998 27403.3 EXTRACT_OBJECT: sdR-r1-00034754.fit: WARNING: Disable whopping terms sdR-r1-00034754.fit MATCH_TRACE: sdR-r1-00034754.fit: Iteration: 0 Pixels Rejected: 6804 Finished? 0 MATCH_TRACE: sdR-r1-00034754.fit: Iteration: 1 Pixels Rejected: 99 Finished? 0 MATCH_TRACE: sdR-r1-00034754.fit: Iteration: 2 Pixels Rejected: 7 Finished? 0 MATCH_TRACE: sdR-r1-00034754.fit: Iteration: 3 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r1-00034754.fit: Shifting traces by match_trace 0.0444336 EXTRACT_OBJECT: sdR-r1-00034754.fit: Extracting frame sdR-r1-00034754.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034754.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 3 0.95 1.82 .0001 2 0.95 1.60 .0002 2 0.95 1.71 .0003 2 0.95 1.77 .0004 2 0.95 1.72 .0005 2 0.95 1.75 .0006 2 0.95 1.85 .0007 2 0.95 1.75 .0008 2 0.95 1.82 .0009 2 0.95 1.94 .0010 2 0.95 2.00 .0011 2 0.95 2.07 .0012 3 0.95 1.87 .0013 3 0.95 2.08 .0014 2 0.95 2.20 .0015 3 0.95 2.08 .0016 3 0.95 2.16 .0017 3 0.95 2.17 .0018 4 0.95 2.12 .0019 2 0.95 2.32 .0020 3 0.95 2.15 .0021 2 0.95 2.19 .0022 2 0.95 2.34 .0023 2 0.95 2.31 .0024 2 0.95 2.42 .0025 2 0.95 2.34 .0026 2 0.95 2.34 .0027 2 0.95 2.51 .0028 2 0.95 2.71 .0029 2 0.95 2.78 .0030 3 0.95 2.51 .0031 3 0.95 2.66 .0032 4 0.95 2.71 .0033 3 0.95 3.01 .0034 4 0.95 2.81 .0035 2 0.95 2.91 .0036 2 0.95 2.80 .0037 4 0.95 2.88 .0038 2 0.95 3.09 .0039 2 0.95 2.90 .0040 3 0.95 3.19 .0041 3 0.95 3.46 .0042 3 0.95 3.27 .0043 3 0.95 3.16 .0044 3 0.95 3.49 .0045 4 0.95 3.25 .0046 3 0.95 3.21 .0047 2 0.95 3.29 .0048 1 0.95 3.49 .0049 3 0.95 3.57 .0050 1 0.95 3.69 .0051 1 0.95 3.58 .0052 1 0.95 3.69 .0053 2 0.95 3.68 .0054 1 0.95 3.72 .0055 2 0.95 3.78 .0056 2 0.95 3.78 .0057 2 0.95 3.69 .0058 2 0.95 3.71 .0059 3 0.95 3.82 .0060 1 0.95 3.72 .0061 1 0.95 3.87 .0062 2 0.95 3.46 .0063 2 0.95 3.93 .0064 2 0.95 3.82 .0065 3 0.95 3.88 .0066 2 0.95 4.02 .0067 2 0.95 3.76 .0068 2 0.95 3.87 .0069 2 0.95 3.90 .0070 3 0.94 3.87 .0071 1 0.94 4.30 .0072 3 0.94 4.00 .0073 1 0.94 4.08 .0074 2 0.94 3.85 .0075 2 0.94 3.93 .0076 1 0.94 3.86 .0077 1 0.94 4.22 .0078 3 0.94 3.88 .0079 1 0.94 4.00 .0080 1 0.94 4.00 .0081 1 0.94 4.06 .0082 1 0.94 3.97 .0083 2 0.94 4.00 .0084 2 0.94 4.09 .0085 3 0.94 4.11 .0086 3 0.94 4.30 .0087 2 0.94 4.41 .0088 4 0.94 4.36 .0089 2 0.94 4.05 .0090 2 0.94 4.18 .0091 2 0.94 4.26 .0092 1 0.94 4.17 .0093 1 0.94 4.28 .0094 1 0.94 4.17 .0095 1 0.94 4.40 .0096 2 0.94 4.25 .0097 2 0.94 4.40 .0098 3 0.94 4.70 .0099 2 0.94 4.34 .0100 2 0.94 4.00 .0101 1 0.94 4.18 .0102 1 0.94 4.32 .0103 1 0.94 4.21 .0104 1 0.94 4.28 .0105 1 0.94 4.19 .0106 2 0.94 4.22 .0107 3 0.94 4.39 .0108 1 0.94 4.05 .0109 3 0.94 4.39 .0110 2 0.94 4.25 .0111 1 0.94 4.55 .0112 2 0.94 4.35 .0113 1 0.94 4.31 .0114 1 0.94 4.34 .0115 1 0.94 4.06 .0116 1 0.94 4.09 .0117 1 0.94 4.20 .0118 2 0.94 4.29 .0119 2 0.94 4.29 .0120 2 0.94 4.16 .0121 3 0.94 4.04 .0122 2 0.94 4.42 .0123 2 0.94 4.02 .0124 1 0.94 4.24 .0125 2 0.94 4.22 .0126 1 0.94 4.01 .0127 1 0.94 4.35 .0128 3 0.94 4.07 .0129 1 0.94 4.00 .0130 2 0.94 3.88 .0131 1 0.94 4.18 .0132 1 0.94 4.14 .0133 1 0.94 4.12 .0134 1 0.94 3.94 .0135 1 0.94 4.12 .0136 1 0.94 4.22 .0137 1 0.94 3.87 .0138 2 0.94 4.25 .0139 2 0.94 3.93 .0140 1 0.94 4.16 .0141 1 0.94 3.93 .0142 1 0.94 4.18 .0143 1 0.94 4.15 .0144 3 0.94 4.13 .0145 1 0.94 4.24 .0146 2 0.94 4.22 .0147 1 0.94 4.21 .0148 2 0.94 4.16 .0149 1 0.94 4.13 .0150 3 0.94 4.53 .0151 1 0.94 4.43 .0152 1 0.94 4.07 .0153 1 0.94 4.09 .0154 2 0.93 4.18 .0155 2 0.93 4.20 .0156 2 0.93 4.16 .0157 1 0.93 4.29 .0158 1 0.93 4.06 .0159 1 0.93 4.31 .0160 1 0.93 4.19 .0161 1 0.93 4.22 .0162 1 0.93 3.99 .0163 2 0.93 4.25 .0164 2 0.93 4.03 .0165 2 0.93 4.29 .0166 1 0.93 4.52 .0167 1 0.93 4.07 .0168 1 0.93 4.16 .0169 1 0.93 4.32 .0170 2 0.93 4.16 .0171 2 0.93 4.47 .0172 3 0.93 4.71 .0173 2 0.93 4.46 .0174 1 0.93 4.65 .0175 1 0.93 4.79 .0176 1 0.93 4.45 .0177 2 0.93 4.64 .0178 2 0.93 4.73 .0179 2 0.93 4.69 .0180 2 0.93 4.66 .0181 2 0.93 4.46 .0182 1 0.93 4.65 .0183 1 0.93 4.41 .0184 1 0.93 4.75 .0185 1 0.93 5.05 .0186 2 0.93 4.70 .0187 2 0.93 4.51 .0188 2 0.93 4.91 .0189 1 0.93 4.77 .0190 1 0.93 4.59 .0191 1 0.93 5.01 .0192 1 0.93 4.84 .0193 1 0.93 5.06 .0194 1 0.93 5.14 .0195 2 0.93 4.77 .0196 2 0.93 5.27 .0197 1 0.93 5.46 .0198 3 0.93 5.40 .0199 1 0.93 5.20 .0200 2 0.93 5.16 .0201 1 0.93 5.32 .0202 1 0.93 5.18 .0203 1 0.93 5.31 .0204 1 0.93 5.44 .0205 1 0.93 5.33 .0206 2 0.93 5.53 .0207 2 0.93 5.69 .0208 2 0.93 5.71 .0209 3 0.93 6.05 .0210 1 0.93 5.91 .0211 1 0.93 5.78 .0212 2 0.93 6.13 .0213 3 0.93 5.82 .0214 1 0.93 5.82 .0215 1 0.93 6.39 .0216 1 0.93 6.16 .0217 1 0.93 6.15 .0218 2 0.93 6.25 .0219 2 0.93 6.37 .0220 1 0.93 6.15 .0221 2 0.93 6.56 .0222 3 0.93 6.92 .0223 2 0.93 6.76 .0224 2 0.93 6.60 .0225 3 0.93 6.52 .0226 2 0.93 6.72 .0227 2 0.93 6.69 .0228 1 0.93 6.93 .0229 3 0.93 7.40 .0230 1 0.93 7.19 .0231 1 0.93 7.36 .0232 1 0.93 6.78 .0233 1 0.93 6.68 .0234 1 0.93 6.86 .0235 1 0.93 6.78 .0236 2 0.93 7.04 .0237 1 0.93 7.11 .0238 1 0.93 7.13 .0239 1 0.93 7.22 .0240 2 0.93 7.51 .0241 1 0.93 7.14 .0242 1 0.93 7.12 .0243 1 0.93 6.82 .0244 1 0.93 7.28 .0245 1 0.93 7.13 .0246 1 0.93 7.15 .0247 1 0.93 7.25 .0248 2 0.93 6.64 .0249 3 0.93 7.14 .0250 1 0.93 7.31 .0251 2 0.93 7.45 .0252 3 0.93 6.67 .0253 3 0.93 6.92 .0254 1 0.93 7.01 .0255 1 0.93 6.63 .0256 2 0.93 7.29 .0257 1 0.93 6.91 .0258 2 0.93 6.70 .0259 2 0.93 6.92 .0260 2 0.93 6.70 .0261 2 0.93 6.51 .0262 2 0.93 6.71 .0263 1 0.93 6.38 .0264 3 0.93 6.59 .0265 2 0.93 7.25 .0266 2 0.93 6.45 .0267 3 0.93 6.60 .0268 3 0.93 6.56 .0269 2 0.93 6.83 .0270 2 0.93 6.84 .0271 1 0.93 6.49 .0272 2 0.93 6.27 .0273 2 0.93 6.82 .0274 1 0.93 6.31 .0275 2 0.93 6.26 .0276 2 0.93 6.88 .0277 2 0.93 6.18 .0278 2 0.93 6.34 .0279 2 0.93 6.44 .0280 2 0.93 6.27 .0281 1 0.93 6.54 .0282 1 0.93 6.00 .0283 1 0.93 5.98 .0284 3 0.93 6.01 .0285 2 0.93 6.48 .0286 3 0.93 6.38 .0287 4 0.93 6.24 .0288 3 0.93 6.01 .0289 3 0.93 6.38 .0290 1 0.93 5.98 .0291 1 0.93 6.85 .0292 1 0.93 6.06 .0293 2 0.92 6.37 .0294 2 0.92 6.14 .0295 1 0.92 6.31 .0296 1 0.92 5.90 .0297 1 0.92 6.05 .0298 1 0.92 5.90 .0299 2 0.92 6.16 .0300 1 0.92 6.11 .0301 1 0.92 5.93 .0302 2 0.92 6.13 .0303 1 0.92 6.41 .0304 4 0.92 6.95 .0305 3 0.92 6.44 .0306 2 0.92 6.14 .0307 3 0.92 6.43 .0308 2 0.92 6.58 .0309 2 0.92 6.26 .0310 4 0.92 6.05 .0311 2 0.92 6.48 .0312 1 0.92 6.16 .0313 1 0.92 6.41 .0314 1 0.92 6.58 .0315 2 0.92 6.52 .0316 2 0.92 6.27 .0317 1 0.92 6.56 .0318 3 0.92 6.60 .0319 1 0.92 6.49 .0320 2 0.92 6.63 .0321 1 0.92 6.53 .0322 3 0.92 6.67 .0323 1 0.92 7.03 .0324 2 0.92 6.84 .0325 2 0.92 7.03 .0326 3 0.92 6.73 .0327 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1 0.92 6.84 .1882 1 0.92 6.70 .1883 2 0.92 6.96 .1884 4 0.92 6.59 .1885 2 0.92 6.95 .1886 2 0.92 7.66 .1887 2 0.92 8.23 .1888 2 0.92 7.09 .1889 2 0.92 6.95 .1890 2 0.92 6.84 .1891 1 0.92 6.88 .1892 1 0.92 7.11 .1893 2 0.92 7.18 .1894 2 0.92 6.99 .1895 1 0.92 6.78 .1896 1 0.92 7.54 .1897 2 0.92 6.65 .1898 1 0.92 6.60 .1899 1 0.92 6.88 .1900 1 0.92 6.66 .1901 2 0.92 6.69 .1902 2 0.92 7.06 .1903 1 0.92 7.04 .1904 1 0.92 7.34 .1905 2 0.92 6.61 .1906 1 0.92 7.01 .1907 1 0.92 6.72 .1908 1 0.92 6.86 .1909 3 0.92 6.82 .1910 1 0.92 6.56 .1911 2 0.92 6.74 .1912 1 0.92 6.45 .1913 1 0.92 6.84 .1914 1 0.92 6.76 .1915 2 0.92 7.17 .1916 3 0.92 6.91 .1917 1 0.92 6.57 .1918 2 0.92 6.78 .1919 1 0.92 7.00 .1920 1 0.92 6.69 .1921 1 0.92 6.60 .1922 1 0.92 6.82 .1923 2 0.92 6.55 .1924 2 0.92 6.47 .1925 3 0.92 6.53 .1926 3 0.92 6.41 .1927 3 0.92 6.34 .1928 2 0.92 6.51 .1929 1 0.92 6.68 .1930 1 0.92 6.12 .1931 1 0.92 6.18 .1932 2 0.92 6.30 .1933 1 0.92 6.26 .1934 1 0.92 6.14 .1935 1 0.92 6.27 .1936 1 0.92 6.08 .1937 1 0.92 6.57 .1938 1 0.92 6.25 .1939 2 0.92 6.09 .1940 1 0.92 5.90 .1941 1 0.92 5.88 .1942 1 0.92 6.02 .1943 2 0.92 6.03 .1944 2 0.92 6.02 .1945 2 0.92 6.02 .1946 2 0.92 6.08 .1947 1 0.92 5.93 .1948 1 0.92 6.61 .1949 5 0.92 6.16 .1950 2 0.92 6.19 .1951 2 0.92 6.25 .1952 1 0.92 7.34 .1953 1 0.92 6.36 .1954 2 0.92 6.80 .1955 1 0.92 6.45 .1956 1 0.92 7.14 .1957 2 0.92 6.93 .1958 2 0.92 6.70 .1959 1 0.92 6.99 .1960 2 0.92 6.77 .1961 1 0.92 6.93 .1962 1 0.92 7.07 .1963 3 0.92 6.64 .1964 1 0.92 7.03 .1965 2 0.92 7.34 .1966 2 0.92 6.86 .1967 2 0.92 6.54 .1968 2 0.92 6.66 .1969 3 0.92 7.03 .1970 1 0.92 7.13 .1971 2 0.92 6.56 .1972 2 0.92 7.03 .1973 2 0.92 6.44 .1974 2 0.92 6.60 .1975 2 0.92 6.27 .1976 2 0.92 6.70 .1977 2 0.92 6.47 .1978 2 0.92 6.54 .1979 2 0.92 6.65 .1980 2 0.92 6.24 .1981 2 0.92 6.14 .1982 3 0.92 6.56 .1983 1 0.92 7.12 .1984 2 0.92 6.43 .1985 1 0.92 6.64 .1986 1 0.92 7.20 .1987 2 0.92 6.38 .1988 1 0.92 6.65 .1989 2 0.92 6.32 .1990 2 0.92 6.49 .1991 3 0.92 6.37 .1992 2 0.92 6.66 .1993 2 0.92 6.36 .1994 2 0.92 6.41 .1995 2 0.92 6.53 .1996 1 0.92 6.43 .1997 1 0.92 6.65 .1998 1 0.92 6.83 .1999 2 0.92 6.71 .2000 1 0.92 6.48 .2001 1 0.92 6.61 .2002 1 0.92 6.56 .2003 1 0.92 6.42 .2004 1 0.92 6.34 .2005 2 0.92 6.54 .2006 1 0.92 6.30 .2007 1 0.92 6.61 .2008 1 0.92 6.33 .2009 1 0.92 6.68 .2010 1 0.92 6.58 .2011 2 0.92 6.40 .2012 1 0.92 6.35 .2013 1 0.92 6.55 .2014 2 0.92 6.41 .2015 2 0.92 6.93 .2016 2 0.92 6.82 .2017 1 0.92 6.37 .2018 2 0.92 6.17 .2019 3 0.92 6.84 .2020 2 0.92 6.35 .2021 1 0.92 6.35 .2022 2 0.92 6.37 .2023 2 0.92 6.47 .2024 2 0.92 6.96 .2025 5 0.92 6.51 .2026 2 0.92 6.41 .2027 1 0.92 6.11 .2028 1 0.92 6.32 .2029 1 0.92 6.69 .2030 3 0.92 6.29 .2031 3 0.92 6.35 .2032 3 0.92 6.50 .2033 3 0.92 6.49 .2034 3 0.92 6.06 .2035 2 0.92 6.22 .2036 2 0.92 6.19 .2037 2 0.92 6.48 .2038 2 0.92 6.37 .2039 2 0.92 6.18 .2040 2 0.92 6.44 .2041 3 0.92 6.53 .2042 2 0.92 6.34 .2043 2 0.92 6.61 .2044 1 0.92 6.29 .2045 1 0.92 6.64 .2046 1 0.92 6.53 .2047 1 0.92 6.42 EXTRACT_IMAGE: sdR-r1-00034754.fit: masked 1524 pixels EXTRACT_OBJECT: sdR-r1-00034754.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034754.fit: WARNING: Scattered light median = 209.710 electrons QAPLOT_SCATLIGHT: sdR-r1-00034754.fit: WARNING: Scattered light max = 496.106 electrons EXTRACT_OBJECT: sdR-r1-00034754.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034754.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034754.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034754.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.14 Step 12 of 2112 0.58 96 0.02 0.16 Step 20 of 2112 0.58 96 0.02 0.14 Step 28 of 2112 0.58 96 0.02 0.15 Step 36 of 2112 0.58 96 0.02 0.15 Step 44 of 2112 0.58 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.14 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.14 Step 84 of 2112 0.59 96 0.02 0.14 Step 92 of 2112 0.59 96 0.02 0.14 Step 100 of 2112 0.59 96 0.02 0.16 Step 108 of 2112 0.59 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.15 Step 164 of 2112 0.60 96 0.02 0.14 Step 172 of 2112 0.60 96 0.02 0.14 Step 180 of 2112 0.60 96 0.02 0.14 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.14 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.61 96 0.02 0.15 Step 236 of 2112 0.61 96 0.02 0.15 Step 244 of 2112 0.61 96 0.02 0.14 Step 252 of 2112 0.62 96 0.02 0.14 Step 260 of 2112 0.62 96 0.02 0.14 Step 268 of 2112 0.62 96 0.02 0.14 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.15 Step 300 of 2112 0.62 96 0.02 0.14 Step 308 of 2112 0.62 96 0.02 0.14 Step 316 of 2112 0.63 96 0.02 0.14 Step 324 of 2112 0.63 96 0.02 0.14 Step 332 of 2112 0.63 96 0.02 0.14 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.63 96 0.02 0.14 Step 372 of 2112 0.63 96 0.02 0.14 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.14 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.14 Step 420 of 2112 0.64 96 0.02 0.14 Step 428 of 2112 0.64 96 0.02 0.14 Step 436 of 2112 0.64 96 0.02 0.14 Step 444 of 2112 0.65 96 0.02 0.14 Step 452 of 2112 0.65 96 0.02 0.14 Step 460 of 2112 0.65 96 0.02 0.14 Step 468 of 2112 0.65 96 0.02 0.14 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.65 128 0.04 0.22 Step 492 of 2112 0.65 128 0.03 0.20 Step 500 of 2112 0.65 128 0.03 0.22 Step 508 of 2112 0.66 128 0.02 0.19 Step 516 of 2112 0.66 128 0.03 0.22 Step 524 of 2112 0.66 128 0.03 0.21 Step 532 of 2112 0.66 128 0.03 0.21 Step 540 of 2112 0.66 128 0.03 0.21 Step 548 of 2112 0.66 128 0.02 0.21 Step 556 of 2112 0.66 128 0.02 0.21 Step 564 of 2112 0.66 128 0.03 0.21 Step 572 of 2112 0.67 128 0.02 0.21 Step 580 of 2112 0.67 128 0.02 0.21 Step 588 of 2112 0.67 128 0.03 0.21 Step 596 of 2112 0.67 128 0.03 0.21 Step 604 of 2112 0.67 128 0.03 0.20 Step 612 of 2112 0.67 128 0.03 0.21 Step 620 of 2112 0.67 128 0.02 0.20 Step 628 of 2112 0.68 128 0.02 0.20 Step 636 of 2112 0.68 128 0.02 0.21 Step 644 of 2112 0.68 128 0.02 0.20 Step 652 of 2112 0.68 128 0.02 0.20 Step 660 of 2112 0.68 128 0.02 0.20 Step 668 of 2112 0.68 128 0.02 0.20 Step 676 of 2112 0.68 128 0.02 0.20 Step 684 of 2112 0.68 128 0.02 0.20 Step 692 of 2112 0.69 128 0.02 0.19 Step 700 of 2112 0.69 128 0.02 0.20 Step 708 of 2112 0.69 128 0.02 0.20 Step 716 of 2112 0.69 128 0.03 0.19 Step 724 of 2112 0.69 128 0.03 0.21 Step 732 of 2112 0.69 128 0.03 0.19 Step 740 of 2112 0.69 128 0.03 0.19 Step 748 of 2112 0.69 128 0.02 0.21 Step 756 of 2112 0.70 128 0.02 0.21 Step 764 of 2112 0.70 128 0.02 0.20 Step 772 of 2112 0.70 128 0.02 0.20 Step 780 of 2112 0.70 128 0.02 0.20 Step 788 of 2112 0.70 128 0.02 0.19 Step 796 of 2112 0.70 128 0.03 0.21 Step 804 of 2112 0.70 128 0.02 0.22 Step 812 of 2112 0.71 128 0.03 0.22 Step 820 of 2112 0.71 128 0.02 0.21 Step 828 of 2112 0.71 128 0.02 0.21 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.03 0.22 Step 852 of 2112 0.71 128 0.03 0.19 Step 860 of 2112 0.71 128 0.03 0.22 Step 868 of 2112 0.71 128 0.02 0.19 Step 876 of 2112 0.72 128 0.02 0.21 Step 884 of 2112 0.72 128 0.03 0.21 Step 892 of 2112 0.72 128 0.03 0.19 Step 900 of 2112 0.72 128 0.02 0.20 Step 908 of 2112 0.72 128 0.03 0.21 Step 916 of 2112 0.72 128 0.02 0.20 Step 924 of 2112 0.72 128 0.03 0.21 Step 932 of 2112 0.72 128 0.03 0.21 Step 940 of 2112 0.73 128 0.02 0.21 Step 948 of 2112 0.73 128 0.03 0.21 Step 956 of 2112 0.73 128 0.02 0.20 Step 964 of 2112 0.73 128 0.02 0.21 Step 972 of 2112 0.73 128 0.02 0.21 Step 980 of 2112 0.73 160 0.03 0.33 Step 988 of 2112 0.73 160 0.03 0.33 Step 996 of 2112 0.74 160 0.03 0.34 Step 1004 of 2112 0.74 160 0.03 0.33 Step 1012 of 2112 0.74 160 0.03 0.33 Step 1020 of 2112 0.74 160 0.03 0.33 Step 1028 of 2112 0.74 160 0.03 0.32 Step 1036 of 2112 0.74 160 0.03 0.32 Step 1044 of 2112 0.74 160 0.03 0.33 Step 1052 of 2112 0.75 160 0.03 0.32 Step 1060 of 2112 0.75 160 0.03 0.32 Step 1068 of 2112 0.75 160 0.03 0.32 Step 1076 of 2112 0.75 160 0.03 0.33 Step 1084 of 2112 0.75 160 0.03 0.33 Step 1092 of 2112 0.75 160 0.03 0.33 Step 1100 of 2112 0.75 160 0.03 0.32 Step 1108 of 2112 0.75 160 0.03 0.32 Step 1116 of 2112 0.76 160 0.03 0.32 Step 1124 of 2112 0.76 160 0.03 0.32 Step 1132 of 2112 0.76 160 0.03 0.32 Step 1140 of 2112 0.76 160 0.03 0.32 Step 1148 of 2112 0.76 160 0.03 0.32 Step 1156 of 2112 0.76 160 0.03 0.32 Step 1164 of 2112 0.76 160 0.03 0.32 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.32 Step 1188 of 2112 0.77 160 0.04 0.35 Step 1196 of 2112 0.77 160 0.02 0.33 Step 1204 of 2112 0.77 160 0.02 0.32 Step 1212 of 2112 0.77 160 0.02 0.32 Step 1220 of 2112 0.77 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.03 0.33 Step 1252 of 2112 0.78 160 0.02 0.33 Step 1260 of 2112 0.78 160 0.02 0.32 Step 1268 of 2112 0.78 160 0.02 0.33 Step 1276 of 2112 0.78 160 0.02 0.33 Step 1284 of 2112 0.78 160 0.02 0.32 Step 1292 of 2112 0.79 160 0.02 0.32 Step 1300 of 2112 0.79 160 0.02 0.33 Step 1308 of 2112 0.79 160 0.02 0.32 Step 1316 of 2112 0.79 160 0.03 0.32 Step 1324 of 2112 0.79 160 0.03 0.32 Step 1332 of 2112 0.79 160 0.03 0.32 Step 1340 of 2112 0.79 160 0.03 0.32 Step 1348 of 2112 0.80 160 0.03 0.33 Step 1356 of 2112 0.80 160 0.03 0.32 Step 1364 of 2112 0.80 192 0.03 0.36 Step 1372 of 2112 0.80 192 0.04 0.37 Step 1380 of 2112 0.80 192 0.03 0.36 Step 1388 of 2112 0.80 192 0.03 0.36 Step 1396 of 2112 0.80 192 0.03 0.36 Step 1404 of 2112 0.81 192 0.03 0.36 Step 1412 of 2112 0.81 192 0.04 0.36 Step 1420 of 2112 0.81 192 0.03 0.36 Step 1428 of 2112 0.81 192 0.04 0.36 Step 1436 of 2112 0.81 192 0.03 0.37 Step 1444 of 2112 0.81 192 0.02 0.36 Step 1452 of 2112 0.81 192 0.02 0.36 Step 1460 of 2112 0.82 192 0.04 0.36 Step 1468 of 2112 0.82 192 0.04 0.37 Step 1476 of 2112 0.82 192 0.04 0.38 Step 1484 of 2112 0.82 192 0.04 0.36 Step 1492 of 2112 0.82 192 0.04 0.37 Step 1500 of 2112 0.82 192 0.04 0.36 Step 1508 of 2112 0.82 192 0.03 0.36 Step 1516 of 2112 0.83 192 0.04 0.36 Step 1524 of 2112 0.83 192 0.04 0.38 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.03 0.37 Step 1548 of 2112 0.83 192 0.03 0.37 Step 1556 of 2112 0.83 192 0.02 0.35 Step 1564 of 2112 0.83 192 0.03 0.37 Step 1572 of 2112 0.84 192 0.04 0.37 Step 1580 of 2112 0.84 192 0.04 0.39 Step 1588 of 2112 0.84 192 0.05 0.38 Step 1596 of 2112 0.84 192 0.04 0.37 Step 1604 of 2112 0.84 192 0.03 0.36 Step 1612 of 2112 0.84 192 0.03 0.38 Step 1620 of 2112 0.84 192 0.04 0.37 Step 1628 of 2112 0.84 192 0.03 0.37 Step 1636 of 2112 0.85 192 0.04 0.37 Step 1644 of 2112 0.85 192 0.03 0.36 Step 1652 of 2112 0.85 192 0.04 0.37 Step 1660 of 2112 0.85 192 0.04 0.37 Step 1668 of 2112 0.85 192 0.03 0.38 Step 1676 of 2112 0.85 192 0.03 0.38 Step 1684 of 2112 0.85 192 0.04 0.37 Step 1692 of 2112 0.86 224 0.04 0.50 Step 1700 of 2112 0.86 224 0.05 0.50 Step 1708 of 2112 0.86 224 0.04 0.51 Step 1716 of 2112 0.86 224 0.05 0.53 Step 1724 of 2112 0.86 224 0.04 0.48 Step 1732 of 2112 0.86 224 0.05 0.51 Step 1740 of 2112 0.86 224 0.05 0.48 Step 1748 of 2112 0.87 224 0.05 0.47 Step 1756 of 2112 0.87 224 0.04 0.49 Step 1764 of 2112 0.87 224 0.04 0.49 Step 1772 of 2112 0.87 224 0.05 0.47 Step 1780 of 2112 0.87 224 0.05 0.49 Step 1788 of 2112 0.87 224 0.04 0.52 Step 1796 of 2112 0.87 224 0.04 0.47 Step 1804 of 2112 0.88 224 0.04 0.49 Step 1812 of 2112 0.88 224 0.05 0.49 Step 1820 of 2112 0.88 224 0.04 0.47 Step 1828 of 2112 0.88 224 0.04 0.47 Step 1836 of 2112 0.88 224 0.04 0.48 Step 1844 of 2112 0.88 224 0.05 0.48 Step 1852 of 2112 0.88 224 0.05 0.49 Step 1860 of 2112 0.89 224 0.04 0.51 Step 1868 of 2112 0.89 224 0.05 0.52 Step 1876 of 2112 0.89 224 0.04 0.49 Step 1884 of 2112 0.89 224 0.04 0.47 Step 1892 of 2112 0.89 224 0.05 0.49 Step 1900 of 2112 0.89 224 0.04 0.47 Step 1908 of 2112 0.89 224 0.04 0.46 Step 1916 of 2112 0.90 224 0.04 0.47 Step 1924 of 2112 0.90 224 0.04 0.49 Step 1932 of 2112 0.90 224 0.04 0.47 Step 1940 of 2112 0.90 224 0.05 0.47 Step 1948 of 2112 0.90 224 0.04 0.47 Step 1956 of 2112 0.90 224 0.04 0.47 Step 1964 of 2112 0.90 256 0.05 0.50 Step 1972 of 2112 0.91 256 0.05 0.50 Step 1980 of 2112 0.91 256 0.04 0.49 Step 1988 of 2112 0.91 256 0.05 0.50 Step 1996 of 2112 0.91 256 0.03 0.48 Step 2004 of 2112 0.91 256 0.03 0.49 Step 2012 of 2112 0.91 256 0.03 0.49 Step 2020 of 2112 0.91 256 0.05 0.50 Step 2028 of 2112 0.92 256 0.03 0.49 Step 2036 of 2112 0.92 256 0.04 0.49 Step 2044 of 2112 0.92 256 0.04 0.51 Step 2052 of 2112 0.92 256 0.04 0.50 Step 2060 of 2112 0.92 256 0.03 0.48 Step 2068 of 2112 0.92 256 0.05 0.51 Step 2076 of 2112 0.92 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.05 0.50 Step 2092 of 2112 0.93 256 0.05 0.49 Step 2100 of 2112 0.93 256 0.05 0.49 Step 2108 of 2112 0.93 256 0.05 0.49 EXTRACT_OBJECT: sdR-r1-00034754.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 3 0.95 1.75 .0001 2 0.95 1.55 .0002 2 0.95 1.65 .0003 3 0.95 1.60 .0004 2 0.95 1.63 .0005 2 0.95 1.65 .0006 2 0.95 1.74 .0007 2 0.95 1.64 .0008 2 0.95 1.70 .0009 2 0.95 1.83 .0010 2 0.95 1.89 .0011 2 0.95 1.93 .0012 3 0.95 1.74 .0013 4 0.95 1.83 .0014 2 0.95 2.05 .0015 3 0.95 1.92 .0016 3 0.95 1.98 .0017 3 0.95 1.99 .0018 4 0.95 1.94 .0019 2 0.95 2.14 .0020 3 0.95 1.96 .0021 2 0.95 2.00 .0022 2 0.95 2.12 .0023 2 0.95 2.10 .0024 2 0.95 2.19 .0025 2 0.95 2.11 .0026 2 0.95 2.09 .0027 2 0.95 2.23 .0028 2 0.95 2.42 .0029 2 0.95 2.48 .0030 3 0.95 2.23 .0031 3 0.95 2.34 .0032 4 0.95 2.38 .0033 3 0.95 2.67 .0034 4 0.95 2.47 .0035 2 0.95 2.55 .0036 2 0.95 2.44 .0037 4 0.95 2.49 .0038 2 0.95 2.69 .0039 2 0.95 2.50 .0040 3 0.95 2.78 .0041 3 0.95 3.01 .0042 3 0.95 2.84 .0043 3 0.95 2.71 .0044 3 0.95 3.01 .0045 3 0.95 2.78 .0046 3 0.95 2.73 .0047 2 0.95 2.78 .0048 2 0.95 2.82 .0049 4 0.95 2.85 .0050 2 0.95 2.95 .0051 2 0.95 2.88 .0052 1 0.95 3.13 .0053 2 0.95 3.09 .0054 1 0.95 3.12 .0055 2 0.95 3.16 .0056 2 0.95 3.16 .0057 2 0.95 3.07 .0058 2 0.95 3.08 .0059 3 0.95 3.15 .0060 1 0.95 3.06 .0061 1 0.95 3.19 .0062 2 0.95 2.82 .0063 2 0.95 3.22 .0064 2 0.95 3.14 .0065 3 0.95 3.17 .0066 2 0.95 3.35 .0067 2 0.95 3.05 .0068 2 0.95 3.13 .0069 2 0.95 3.17 .0070 3 0.94 3.13 .0071 1 0.94 3.54 .0072 3 0.94 3.22 .0073 1 0.94 3.31 .0074 2 0.94 3.10 .0075 2 0.94 3.16 .0076 1 0.94 3.09 .0077 1 0.94 3.47 .0078 3 0.94 3.09 .0079 1 0.94 3.19 .0080 1 0.94 3.20 .0081 1 0.94 3.26 .0082 1 0.94 3.14 .0083 2 0.94 3.18 .0084 2 0.94 3.28 .0085 3 0.94 3.28 .0086 3 0.94 3.46 .0087 2 0.94 3.49 .0088 4 0.94 3.50 .0089 2 0.94 3.21 .0090 2 0.94 3.29 .0091 2 0.94 3.35 .0092 1 0.94 3.28 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.1980 2 0.92 2.81 .1981 2 0.92 2.69 .1982 3 0.92 3.12 .1983 2 0.92 2.81 .1984 2 0.92 2.88 .1985 2 0.92 2.76 .1986 2 0.92 3.00 .1987 2 0.92 2.95 .1988 2 0.92 2.85 .1989 2 0.92 2.79 .1990 3 0.92 2.72 .1991 2 0.92 2.87 .1992 3 0.92 2.95 .1993 2 0.92 2.81 .1994 2 0.92 2.82 .1995 3 0.92 2.79 .1996 1 0.92 2.85 .1997 1 0.92 2.99 .1998 2 0.92 2.94 .1999 2 0.92 3.11 .2000 1 0.92 2.93 .2001 1 0.92 2.94 .2002 1 0.92 2.98 .2003 1 0.92 2.91 .2004 1 0.92 2.77 .2005 2 0.92 2.92 .2006 1 0.92 2.82 .2007 1 0.92 2.98 .2008 1 0.92 2.80 .2009 1 0.92 3.02 .2010 1 0.92 3.01 .2011 2 0.92 2.90 .2012 1 0.92 2.81 .2013 1 0.92 3.06 .2014 2 0.92 2.88 .2015 2 0.92 3.06 .2016 2 0.92 2.90 .2017 1 0.92 2.91 .2018 2 0.92 2.73 .2019 3 0.92 3.00 .2020 2 0.92 2.92 .2021 1 0.92 2.92 .2022 2 0.92 2.86 .2023 2 0.92 3.08 .2024 2 0.92 3.19 .2025 3 0.92 3.08 .2026 3 0.92 2.82 .2027 1 0.92 2.80 .2028 1 0.92 2.87 .2029 2 0.92 3.01 .2030 3 0.92 2.95 .2031 3 0.92 2.94 .2032 4 0.92 2.87 .2033 3 0.92 3.07 .2034 3 0.92 2.81 .2035 3 0.92 2.72 .2036 3 0.92 2.64 .2037 2 0.92 3.03 .2038 2 0.92 2.90 .2039 2 0.92 2.77 .2040 2 0.92 3.05 .2041 2 0.92 2.99 .2042 2 0.92 2.98 .2043 2 0.92 2.89 .2044 1 0.92 2.87 .2045 2 0.92 2.98 .2046 2 0.92 2.91 .2047 2 0.92 2.80 EXTRACT_IMAGE: sdR-r1-00034754.fit: masked 2103 pixels EXTRACT_OBJECT: sdR-r1-00034754.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034754.fit: WARNING: Scattered light median = 63.6797 electrons QAPLOT_SCATLIGHT: sdR-r1-00034754.fit: WARNING: Scattered light max = 165.475 electrons EXTRACT_OBJECT: sdR-r1-00034754.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 2 0.95 2.06 .0001 2 0.95 1.67 .0002 3 0.95 1.68 .0003 2 0.95 1.76 .0004 2 0.95 1.78 .0005 2 0.95 1.75 .0006 2 0.95 1.83 .0007 2 0.95 1.80 .0008 2 0.95 1.82 .0009 2 0.95 1.94 .0010 2 0.95 2.01 .0011 2 0.95 2.09 .0012 3 0.95 1.83 .0013 3 0.95 1.96 .0014 2 0.95 2.14 .0015 3 0.95 2.09 .0016 3 0.95 2.17 .0017 4 0.95 2.12 .0018 3 0.95 2.14 .0019 3 0.95 2.24 .0020 3 0.95 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3.50 .1464 3 0.93 3.71 .1465 2 0.93 3.51 .1466 3 0.93 3.50 .1467 2 0.93 3.56 .1468 2 0.93 3.60 .1469 1 0.93 3.50 .1470 1 0.93 3.57 .1471 1 0.93 3.48 .1472 2 0.93 3.49 .1473 3 0.93 3.60 .1474 3 0.93 3.44 .1475 2 0.93 3.57 .1476 3 0.93 3.54 .1477 2 0.93 3.50 .1478 2 0.93 3.44 .1479 3 0.93 3.39 .1480 2 0.93 3.49 .1481 1 0.93 3.48 .1482 2 0.93 3.38 .1483 2 0.93 3.29 .1484 2 0.93 3.29 .1485 1 0.93 3.46 .1486 1 0.93 3.35 .1487 1 0.93 3.38 .1488 1 0.93 3.76 .1489 1 0.93 3.52 .1490 1 0.93 3.69 .1491 2 0.93 3.41 .1492 1 0.93 3.44 .1493 1 0.93 3.53 .1494 4 0.93 3.72 .1495 3 0.93 3.64 .1496 3 0.93 3.68 .1497 1 0.93 3.54 .1498 1 0.93 3.58 .1499 3 0.93 3.56 .1500 4 0.93 3.48 .1501 2 0.93 3.55 .1502 2 0.93 3.41 .1503 3 0.93 3.59 .1504 3 0.93 3.51 .1505 2 0.93 3.68 .1506 2 0.93 3.34 .1507 2 0.93 3.45 .1508 3 0.93 3.46 .1509 3 0.93 3.49 .1510 3 0.93 3.57 .1511 1 0.93 3.57 .1512 1 0.93 3.38 .1513 3 0.93 3.43 .1514 2 0.93 3.49 .1515 2 0.93 3.48 .1516 2 0.93 3.52 .1517 2 0.93 3.50 .1518 1 0.93 3.49 .1519 2 0.93 3.44 .1520 1 0.93 3.46 .1521 2 0.93 3.39 .1522 1 0.93 3.46 .1523 1 0.93 3.55 .1524 2 0.93 3.41 .1525 2 0.93 3.38 .1526 2 0.93 3.51 .1527 1 0.93 3.51 .1528 2 0.93 3.47 .1529 3 0.93 3.39 .1530 1 0.93 3.46 .1531 1 0.93 3.31 .1532 2 0.93 3.31 .1533 2 0.93 3.30 .1534 2 0.93 3.41 .1535 1 0.93 3.39 .1536 2 0.93 3.20 .1537 1 0.93 3.34 .1538 1 0.93 3.43 .1539 2 0.93 3.45 .1540 1 0.93 3.20 .1541 1 0.93 3.29 .1542 2 0.93 3.45 .1543 2 0.93 3.53 .1544 1 0.93 3.32 .1545 1 0.93 3.46 .1546 2 0.93 3.53 .1547 3 0.93 3.55 .1548 3 0.93 3.48 .1549 4 0.93 3.47 .1550 1 0.93 3.48 .1551 1 0.93 3.43 .1552 1 0.93 3.54 .1553 1 0.93 3.37 .1554 1 0.93 3.41 .1555 2 0.93 3.39 .1556 2 0.93 3.53 .1557 2 0.93 3.43 .1558 1 0.93 3.53 .1559 2 0.93 3.44 .1560 2 0.93 3.33 .1561 4 0.93 3.44 .1562 2 0.93 3.48 .1563 3 0.93 3.72 .1564 2 0.93 3.58 .1565 1 0.93 3.31 .1566 2 0.93 3.41 .1567 2 0.93 3.68 .1568 2 0.93 3.58 .1569 3 0.93 3.62 .1570 1 0.93 3.80 .1571 1 0.93 3.70 .1572 2 0.93 3.78 .1573 1 0.93 3.70 .1574 2 0.93 3.45 .1575 3 0.93 3.46 .1576 4 0.93 3.69 .1577 2 0.93 3.42 .1578 1 0.93 3.35 .1579 1 0.93 3.40 .1580 2 0.93 3.38 .1581 2 0.93 3.34 .1582 1 0.93 3.49 .1583 3 0.93 3.62 .1584 2 0.93 3.44 .1585 3 0.93 3.37 .1586 3 0.93 3.45 .1587 1 0.93 3.34 .1588 1 0.93 3.29 .1589 4 0.93 3.59 .1590 1 0.93 3.28 .1591 2 0.93 3.52 .1592 2 0.93 3.50 .1593 6 0.93 3.50 .1594 1 0.93 3.50 .1595 2 0.93 3.43 .1596 2 0.93 3.47 .1597 3 0.93 3.34 .1598 3 0.93 3.78 .1599 2 0.93 3.49 .1600 1 0.93 3.33 .1601 1 0.93 3.63 .1602 2 0.93 3.57 .1603 2 0.93 3.49 .1604 2 0.93 3.41 .1605 2 0.93 3.34 .1606 2 0.93 3.63 .1607 2 0.93 3.41 .1608 1 0.93 3.33 .1609 2 0.93 3.50 .1610 2 0.93 3.65 .1611 4 0.93 3.51 .1612 2 0.93 3.65 .1613 2 0.93 3.53 .1614 2 0.93 3.58 .1615 2 0.93 3.51 .1616 2 0.93 3.33 .1617 1 0.93 3.57 .1618 1 0.93 3.75 .1619 1 0.93 3.53 .1620 1 0.93 3.53 .1621 2 0.93 3.47 .1622 2 0.93 3.30 .1623 2 0.93 3.50 .1624 3 0.93 3.50 .1625 2 0.93 3.55 .1626 2 0.93 3.59 .1627 2 0.93 3.35 .1628 2 0.93 3.53 .1629 1 0.93 3.59 .1630 2 0.93 3.53 .1631 2 0.93 3.57 .1632 3 0.93 3.39 .1633 3 0.93 3.39 .1634 2 0.93 3.61 .1635 3 0.93 3.68 .1636 2 0.93 3.57 .1637 3 0.93 3.66 .1638 2 0.93 3.45 .1639 1 0.93 3.44 .1640 1 0.93 3.46 .1641 2 0.93 3.32 .1642 3 0.93 3.73 .1643 2 0.93 3.58 .1644 2 0.93 3.47 .1645 3 0.93 3.33 .1646 1 0.93 3.32 .1647 2 0.93 3.31 .1648 2 0.93 3.47 .1649 2 0.93 3.52 .1650 2 0.93 3.59 .1651 2 0.93 3.42 .1652 2 0.93 3.36 .1653 2 0.93 3.32 .1654 2 0.93 3.60 .1655 1 0.93 3.33 .1656 2 0.93 3.37 .1657 2 0.93 3.28 .1658 2 0.93 3.30 .1659 1 0.93 3.34 .1660 3 0.93 3.38 .1661 2 0.93 3.71 .1662 3 0.93 3.45 .1663 2 0.93 3.40 .1664 1 0.93 3.47 .1665 1 0.93 3.39 .1666 1 0.93 3.35 .1667 2 0.93 3.47 .1668 2 0.93 3.39 .1669 4 0.93 3.42 .1670 3 0.93 3.31 .1671 3 0.93 3.30 .1672 1 0.93 3.26 .1673 1 0.93 3.27 .1674 2 0.93 3.25 .1675 1 0.93 3.15 .1676 2 0.93 3.35 .1677 2 0.93 3.18 .1678 1 0.93 3.40 .1679 1 0.93 3.33 .1680 1 0.93 3.14 .1681 4 0.93 3.26 .1682 3 0.93 3.15 .1683 2 0.93 3.22 .1684 2 0.93 3.16 .1685 2 0.93 3.39 .1686 2 0.93 3.22 .1687 1 0.93 3.17 .1688 2 0.93 3.24 .1689 1 0.93 3.57 .1690 3 0.93 3.35 .1691 1 0.93 3.24 .1692 2 0.93 3.31 .1693 1 0.93 3.29 .1694 1 0.93 3.45 .1695 1 0.93 3.36 .1696 1 0.93 3.49 .1697 2 0.93 3.40 .1698 2 0.93 3.38 .1699 1 0.93 3.36 .1700 3 0.93 3.21 .1701 2 0.93 3.38 .1702 1 0.93 3.13 .1703 1 0.93 3.30 .1704 2 0.93 3.25 .1705 3 0.93 3.30 .1706 1 0.93 3.26 .1707 3 0.93 3.25 .1708 2 0.93 3.43 .1709 2 0.93 3.25 .1710 2 0.93 3.38 .1711 1 0.93 3.14 .1712 1 0.93 3.18 .1713 1 0.93 3.22 .1714 3 0.93 3.17 .1715 1 0.93 3.20 .1716 1 0.93 3.11 .1717 1 0.93 3.39 .1718 1 0.93 3.25 .1719 1 0.93 3.23 .1720 2 0.93 3.23 .1721 1 0.93 3.30 .1722 1 0.92 3.29 .1723 2 0.92 3.38 .1724 3 0.92 3.23 .1725 1 0.92 3.38 .1726 1 0.92 3.29 .1727 4 0.92 3.30 .1728 3 0.92 3.46 .1729 1 0.92 3.15 .1730 1 0.92 3.13 .1731 2 0.92 3.17 .1732 2 0.92 3.24 .1733 3 0.92 3.26 .1734 2 0.92 3.08 .1735 2 0.92 3.34 .1736 1 0.92 3.28 .1737 1 0.92 3.16 .1738 2 0.92 3.33 .1739 2 0.92 3.05 .1740 3 0.92 3.17 .1741 3 0.92 3.13 .1742 2 0.92 3.14 .1743 1 0.92 3.08 .1744 1 0.92 3.10 .1745 3 0.92 3.11 .1746 2 0.92 3.00 .1747 2 0.92 2.96 .1748 1 0.92 3.13 .1749 1 0.92 3.08 .1750 2 0.92 2.91 .1751 3 0.92 2.95 .1752 1 0.92 3.17 .1753 1 0.92 2.94 .1754 2 0.92 3.07 .1755 2 0.92 3.17 .1756 2 0.92 3.26 .1757 1 0.92 3.29 .1758 2 0.92 3.22 .1759 3 0.92 3.24 .1760 2 0.92 3.25 .1761 2 0.92 3.10 .1762 1 0.92 3.19 .1763 2 0.92 3.33 .1764 2 0.92 3.20 .1765 2 0.92 3.20 .1766 2 0.92 3.33 .1767 2 0.92 3.35 .1768 1 0.92 3.09 .1769 2 0.92 3.16 .1770 2 0.92 3.33 .1771 2 0.92 3.07 .1772 2 0.92 3.06 .1773 3 0.92 3.18 .1774 5 0.92 3.17 .1775 2 0.92 3.38 .1776 2 0.92 3.11 .1777 3 0.92 3.37 .1778 3 0.92 3.22 .1779 3 0.92 3.09 .1780 3 0.92 3.02 .1781 2 0.92 3.08 .1782 3 0.92 3.07 .1783 3 0.92 3.30 .1784 2 0.92 3.26 .1785 2 0.92 3.21 .1786 3 0.92 3.13 .1787 3 0.92 3.09 .1788 3 0.92 3.03 .1789 3 0.92 3.03 .1790 2 0.92 3.01 .1791 2 0.92 3.06 .1792 3 0.92 3.06 .1793 2 0.92 3.05 .1794 2 0.92 3.19 .1795 2 0.92 3.05 .1796 2 0.92 3.18 .1797 3 0.92 3.01 .1798 3 0.92 3.06 .1799 3 0.92 3.20 .1800 2 0.92 2.96 .1801 2 0.92 3.11 .1802 3 0.92 3.27 .1803 3 0.92 3.14 .1804 3 0.92 3.09 .1805 3 0.92 3.05 .1806 2 0.92 3.10 .1807 3 0.92 3.18 .1808 3 0.92 3.41 .1809 2 0.92 3.22 .1810 2 0.92 3.24 .1811 2 0.92 3.21 .1812 4 0.92 3.42 .1813 4 0.92 3.30 .1814 2 0.92 3.35 .1815 2 0.92 3.27 .1816 2 0.92 3.36 .1817 2 0.92 3.23 .1818 2 0.92 3.19 .1819 3 0.92 3.16 .1820 2 0.92 3.23 .1821 2 0.92 3.23 .1822 1 0.92 3.19 .1823 2 0.92 3.09 .1824 1 0.92 3.08 .1825 2 0.92 3.33 .1826 1 0.92 3.18 .1827 1 0.92 3.10 .1828 1 0.92 3.19 .1829 2 0.92 3.31 .1830 2 0.92 3.27 .1831 1 0.92 3.35 .1832 2 0.92 3.42 .1833 2 0.92 3.16 .1834 2 0.92 3.26 .1835 3 0.92 3.39 .1836 3 0.92 3.25 .1837 3 0.92 3.30 .1838 1 0.92 3.25 .1839 5 0.92 3.14 .1840 1 0.92 3.42 .1841 1 0.92 3.27 .1842 1 0.92 3.43 .1843 1 0.92 3.36 .1844 1 0.92 3.25 .1845 2 0.92 3.22 .1846 1 0.92 3.20 .1847 1 0.92 3.33 .1848 1 0.92 3.35 .1849 2 0.92 3.04 .1850 3 0.92 3.23 .1851 1 0.92 3.08 .1852 1 0.92 3.16 .1853 1 0.92 3.18 .1854 1 0.92 3.15 .1855 1 0.92 3.07 .1856 2 0.92 3.03 .1857 3 0.92 3.06 .1858 3 0.92 3.25 .1859 1 0.92 3.02 .1860 2 0.92 3.22 .1861 2 0.92 3.17 .1862 2 0.92 3.14 .1863 1 0.92 3.04 .1864 2 0.92 3.16 .1865 1 0.92 3.13 .1866 2 0.92 3.00 .1867 3 0.92 3.02 .1868 4 0.92 3.21 .1869 3 0.92 3.29 .1870 2 0.92 3.42 .1871 2 0.92 3.36 .1872 1 0.92 3.27 .1873 1 0.92 3.07 .1874 2 0.92 3.25 .1875 1 0.92 3.36 .1876 1 0.92 3.39 .1877 1 0.92 3.42 .1878 1 0.92 3.30 .1879 3 0.92 3.25 .1880 2 0.92 3.14 .1881 1 0.92 3.23 .1882 2 0.92 3.11 .1883 2 0.92 3.32 .1884 3 0.92 3.28 .1885 2 0.92 3.42 .1886 3 0.92 3.26 .1887 3 0.92 3.60 .1888 2 0.92 3.50 .1889 5 0.92 3.52 .1890 2 0.92 3.33 .1891 2 0.92 3.26 .1892 3 0.92 3.36 .1893 3 0.92 3.43 .1894 2 0.92 3.71 .1895 1 0.92 3.44 .1896 4 0.92 3.49 .1897 2 0.92 3.25 .1898 1 0.92 3.14 .1899 1 0.92 3.19 .1900 1 0.92 3.14 .1901 2 0.92 3.15 .1902 2 0.92 3.32 .1903 2 0.92 3.34 .1904 2 0.92 3.27 .1905 2 0.92 3.22 .1906 2 0.92 3.28 .1907 1 0.92 3.28 .1908 2 0.92 3.34 .1909 3 0.92 3.40 .1910 1 0.92 3.20 .1911 3 0.92 3.18 .1912 1 0.92 3.05 .1913 1 0.92 3.28 .1914 1 0.92 3.27 .1915 3 0.92 3.35 .1916 3 0.92 3.29 .1917 1 0.92 3.18 .1918 2 0.92 3.23 .1919 3 0.92 2.96 .1920 1 0.92 3.20 .1921 2 0.92 2.99 .1922 2 0.92 3.16 .1923 3 0.92 3.15 .1924 2 0.92 3.10 .1925 4 0.92 3.07 .1926 3 0.92 3.22 .1927 3 0.92 3.22 .1928 2 0.92 3.20 .1929 2 0.92 3.11 .1930 1 0.92 3.02 .1931 1 0.92 2.98 .1932 2 0.92 3.23 .1933 1 0.92 3.09 .1934 2 0.92 2.97 .1935 2 0.92 2.97 .1936 2 0.92 2.83 .1937 3 0.92 3.17 .1938 1 0.92 3.21 .1939 2 0.92 3.05 .1940 1 0.92 2.94 .1941 1 0.92 2.82 .1942 1 0.92 2.92 .1943 2 0.92 2.87 .1944 2 0.92 2.91 .1945 2 0.92 2.94 .1946 2 0.92 2.86 .1947 1 0.92 2.90 .1948 2 0.92 2.95 .1949 4 0.92 3.03 .1950 2 0.92 3.04 .1951 2 0.92 3.10 .1952 2 0.92 3.26 .1953 1 0.92 3.01 .1954 3 0.92 3.30 .1955 1 0.92 3.10 .1956 2 0.92 3.31 .1957 3 0.92 3.23 .1958 4 0.92 3.15 .1959 2 0.92 3.25 .1960 2 0.92 3.35 .1961 3 0.92 3.07 .1962 2 0.92 3.31 .1963 5 0.92 3.14 .1964 2 0.92 3.30 .1965 3 0.92 3.34 .1966 2 0.92 3.27 .1967 2 0.92 3.23 .1968 3 0.92 3.18 .1969 4 0.92 3.19 .1970 2 0.92 3.14 .1971 2 0.92 3.19 .1972 2 0.92 3.23 .1973 2 0.92 3.12 .1974 2 0.92 3.06 .1975 2 0.92 3.02 .1976 2 0.92 3.29 .1977 2 0.92 3.10 .1978 2 0.92 3.24 .1979 2 0.92 3.18 .1980 2 0.92 3.04 .1981 2 0.92 2.84 .1982 3 0.92 3.11 .1983 2 0.92 3.27 .1984 2 0.92 3.13 .1985 2 0.92 2.97 .1986 3 0.92 3.08 .1987 2 0.92 3.07 .1988 2 0.92 3.03 .1989 2 0.92 3.07 .1990 3 0.92 2.98 .1991 2 0.92 3.10 .1992 3 0.92 3.14 .1993 2 0.92 3.04 .1994 2 0.92 3.11 .1995 2 0.92 2.90 .1996 1 0.92 3.10 .1997 1 0.92 3.25 .1998 2 0.92 3.10 .1999 3 0.92 3.23 .2000 1 0.92 3.21 .2001 1 0.92 3.14 .2002 1 0.92 3.14 .2003 1 0.92 3.10 .2004 1 0.92 3.02 .2005 2 0.92 3.09 .2006 1 0.92 3.06 .2007 1 0.92 3.15 .2008 1 0.92 3.00 .2009 1 0.92 3.18 .2010 1 0.92 3.26 .2011 2 0.92 3.16 .2012 1 0.92 3.11 .2013 2 0.92 3.08 .2014 2 0.92 3.14 .2015 3 0.92 3.22 .2016 2 0.92 3.13 .2017 1 0.92 3.14 .2018 2 0.92 3.01 .2019 3 0.92 3.18 .2020 2 0.92 3.13 .2021 1 0.92 3.06 .2022 2 0.92 3.02 .2023 2 0.92 3.24 .2024 4 0.92 3.04 .2025 3 0.92 3.10 .2026 3 0.92 2.96 .2027 1 0.92 3.01 .2028 1 0.92 3.05 .2029 2 0.92 3.12 .2030 3 0.92 3.10 .2031 3 0.92 3.18 .2032 3 0.92 3.02 .2033 3 0.92 3.12 .2034 3 0.92 3.02 .2035 3 0.92 2.89 .2036 3 0.92 2.84 .2037 3 0.92 3.01 .2038 2 0.92 3.08 .2039 2 0.92 2.97 .2040 3 0.92 3.10 .2041 2 0.92 3.15 .2042 2 0.92 3.10 .2043 2 0.92 3.10 .2044 1 0.92 3.10 .2045 2 0.92 3.17 .2046 2 0.92 3.15 .2047 2 0.92 3.07 EXTRACT_IMAGE: sdR-r1-00034754.fit: masked 2679 pixels DIVIDEFLAT: sdR-r1-00034754.fit: Warning: Reject 243 low points in trace 45 DIVIDEFLAT: sdR-r1-00034754.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034754.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034754.fit: Warning: Reject 529 low points in trace 173 DIVIDEFLAT: sdR-r1-00034754.fit: Warning: Reject 668 low points in trace 174 DIVIDEFLAT: sdR-r1-00034754.fit: Warning: Reject 1051 low points in trace 249 DIVIDEFLAT: sdR-r1-00034754.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034754.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034754.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034754.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034754.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034754.fit: sky shift reference line, offset: 7794.1200 0.025910734 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 8 10.626190 245.83827 0.18750369 0.93130727 1783.2774 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 17 10.972096 75.402042 0.26009108 0.97607458 1763.0664 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 28 4.3764862 62.644916 0.11744598 0.99794750 1769.4094 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 32 7.0652148 30.956830 0.16347816 0.95618227 1807.7604 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 43 11.865911 238.37890 0.24103072 0.95732703 1731.5826 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 44 12.398446 185.96202 0.18387208 0.94602641 1816.8207 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 70 10.679297 315.33657 0.14500034 0.95272086 1663.4459 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 78 11.413257 326.78804 0.15948471 0.92889979 1718.1703 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 89 14.606327 340.06029 0.17850852 0.97569838 1745.7485 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 95 5.9937538 347.21668 0.20462342 1.0163206 1682.7949 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 101 12.178237 358.41001 0.13062565 0.94961048 1800.9006 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 123 6.5911593 305.30922 0.16872877 0.98675438 1789.6539 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 124 17.175005 402.31892 0.20364516 0.88105222 1825.8605 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 126 10.771314 400.03963 0.10866419 0.91429854 1904.5078 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 134 10.153575 387.51339 0.10286930 0.95230560 1790.4423 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 156 12.224326 401.83449 0.15111376 0.97271937 1793.6296 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 203 16.839282 334.78405 0.14609128 0.93335079 1686.5728 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 216 5.8789110 338.01741 0.18621858 1.0133638 1732.5209 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 218 7.2618650 345.92718 0.12797822 0.90995992 1876.8798 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 245 10.021429 356.35828 0.13242302 0.94430812 1755.3757 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 255 6.1653535 281.22388 0.10121434 0.98217134 1793.9830 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 262 8.6748968 267.06096 0.13675508 0.99970453 1800.1196 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 267 1.9237390 162.81640 0.14204130 0.96429795 1766.4587 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 273 10.782084 177.58361 0.13010346 0.93520152 1791.3987 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 283 10.350962 257.35562 0.12544331 0.96150772 1830.9774 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 289 14.120656 262.30787 0.091075465 1.0004185 1820.9867 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 311 6.1060447 225.89747 0.098859944 1.0316911 1735.9429 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 314 8.5200254 358.88031 0.15156459 0.96532660 1723.9758 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 0 317 7.6900764 333.84713 0.13245821 0.98444123 1854.0698 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 0 6.1712736 0.00045776169 0.14983671 0.96033641 0.99857609 LOCATESKYLINES_2: sdR-r1-00034754.fit: sigma-clipped to 228 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034754.fit: comb2 l,chi^2/dof,fit: 0 2.7202566 -0.024662211 0.14297829 0.99438409 1.0125278 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 228 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.1688890.1429780.004850 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 8 2.4170285 191.90578 0.22125119 0.94937157 559.56983 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 17 2.0990559 23.446009 0.27031743 0.88257076 561.24853 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 28 2.6615994 23.949463 0.26742835 1.0161325 583.80513 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 32 1.1413850 26.372258 0.20659930 0.91865252 582.89005 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 43 2.6718177 151.18000 0.30805133 0.95429681 628.40058 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 44 4.2350586 157.69408 0.27728239 0.88563679 596.35021 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 70 3.4907393 248.36152 0.27660426 0.90649702 596.85794 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 78 3.8970932 247.18466 0.21594224 0.87168864 569.46386 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 89 3.5725921 270.26973 0.20601490 0.93824520 603.27714 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 95 1.7800583 312.22991 0.23674680 0.90948969 596.56877 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 101 3.1410600 314.17793 0.074766828 0.97993640 607.36420 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 123 0.88709949 309.61850 0.17206790 0.95723471 609.21216 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 124 2.1991042 342.32051 0.41816220 0.81875598 622.87366 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 126 4.0010626 397.73963 0.25755312 0.90653442 572.15337 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 134 2.5872651 339.10965 0.14197253 0.91320360 575.98666 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 156 2.7601904 405.93823 0.23445602 0.81184087 564.21306 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 203 1.9528380 295.56050 0.12729433 0.88108889 531.60461 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 216 3.0163564 316.85117 0.22299862 1.0395062 552.40589 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 218 3.4504509 289.40000 0.23532488 0.93376888 600.62163 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 245 2.0006139 292.96035 0.16984311 1.0239103 610.79264 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 255 1.4087720 302.40041 0.17123323 0.96623490 575.79525 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 262 1.7060723 255.67341 0.19877645 0.97811115 602.41798 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 267 5.8272026 157.20227 0.13026490 0.93294668 582.42932 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 273 0.25020948 129.11175 0.087706089 0.94608719 613.23058 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 283 1.7357909 179.02043 0.066348812 0.95090965 623.42585 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 289 1.9485803 243.94196 0.16612929 0.98698709 600.76623 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 311 2.8641441 218.84609 0.14280001 1.0344730 563.22845 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 314 4.7126065 316.07355 0.16116211 1.0441293 524.60946 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 1 317 4.8008622 296.72203 0.19155963 0.97664038 559.06919 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 1 1.8920390 0.00073305225 0.20444896 0.94049107 0.99348649 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.2303600.2044490.011688 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 8 1.7893037 6.6041449 -0.51923797 2.0000000 206.02047 LOCATESKYLINES_2: sdR-r1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 17 3.1208016 -109.30835 0.14291987 0.97166697 237.12498 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 28 1.3358254 -88.237313 -0.098135628 1.0760781 226.58864 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 32 0.76339173 -86.353676 0.48556359 0.92244542 178.05788 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 43 1.1621699 69.557414 0.23868724 1.1070126 175.46653 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 44 2.3489901 48.063683 0.11731746 0.91848267 239.70885 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 70 0.32283984 202.53782 -0.16140673 0.95871047 194.73254 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 78 0.96471656 185.05330 0.21281286 1.0239539 192.82408 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 89 1.3542135 195.00416 0.031668420 1.0296908 200.65064 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 95 2.8405947 202.41056 0.064354808 0.60000000 319.08580 LOCATESKYLINES_2: sdR-r1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 101 2.1843765 228.74854 -0.025068514 1.6420082 177.04439 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 123 0.52610911 266.50809 0.44126395 0.71565612 172.69851 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 124 1.3775831 253.54483 0.28501682 0.92883587 133.67182 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 126 1.4385464 252.55804 -0.45967916 1.6494246 164.23822 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 134 2.1675235 259.85393 0.18678050 0.87131123 213.54342 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 156 1.6855226 317.03663 0.0023759579 0.94176179 199.35602 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 203 1.2735210 201.99626 -0.031679149 0.85959632 223.07460 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 216 2.5427663 234.76571 -0.12517855 1.1821546 218.10895 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 218 2.9331393 236.44006 -0.0038036051 0.82705301 210.32948 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 245 5.0596345 267.27631 0.35881440 0.60000000 299.31486 LOCATESKYLINES_2: sdR-r1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 255 1.1345972 214.91340 0.058865990 0.64680385 252.47616 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 262 1.7663470 178.14625 -0.19798987 1.0626484 168.55108 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 267 2.1465538 10.301381 -0.80594369 2.0000000 186.78987 LOCATESKYLINES_2: sdR-r1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 273 0.68009375 109.28696 -0.053807718 0.77381696 179.06779 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 283 2.1836602 141.93358 -0.060608215 0.92488669 200.11255 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 289 2.3933387 92.065556 -1.0000000 2.0000000 219.95353 LOCATESKYLINES_2: sdR-r1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 311 2.2920759 136.02202 -0.80671282 2.0000000 196.57570 LOCATESKYLINES_2: sdR-r1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 314 2.6797783 225.18707 -0.53934935 1.9726076 216.46245 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 2 317 3.6670625 243.45700 -1.0000000 2.0000000 135.48399 LOCATESKYLINES_2: sdR-r1-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 2 1.1434458 0.021143423 0.037308437 0.99200841 0.95216299 LOCATESKYLINES_2: sdR-r1-00034754.fit: sigma-clipped to 197 of 198 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034754.fit: comb2 l,chi^2/dof,fit: 2 1.0707649 0.013887351 0.034916885 1.0022210 0.95747404 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 197 of 198 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.0608280.0349170.036432 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 8 0.49941659 23.045693 0.043894467 0.89649729 384.89846 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 17 0.88101437 -122.03871 0.25403505 1.0533536 352.28526 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 28 2.9102343 -62.432626 0.20970901 1.0546028 286.17939 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 32 1.8257167 -87.366657 0.14493414 1.1276767 326.06351 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 43 1.5233111 77.099450 -0.11067736 0.76393333 351.81167 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 44 5.7376742 51.079254 0.21618649 1.0019457 397.42934 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 70 1.5590934 205.00755 0.31160815 1.1111525 339.82397 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 78 1.2418550 170.28063 0.21876154 1.1145083 284.98734 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 89 2.2145480 217.94604 0.031284174 0.90574389 356.55068 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 95 0.78450013 224.37798 0.23329997 0.92324796 356.41976 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 101 0.78479691 252.34071 0.12014170 1.0798107 354.75310 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 123 0.30287272 244.93572 -0.0080325629 1.1086927 350.66774 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 124 0.93770580 248.77254 0.27494144 1.0138978 373.80888 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 126 1.3007988 303.23120 0.11616620 0.79396454 395.53561 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 134 2.3726326 278.86910 0.11925866 0.99654743 298.50056 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 156 1.0064852 338.64976 0.014155885 0.88930405 326.16502 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 203 2.2284812 250.14450 0.30505425 1.0612562 305.34427 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 216 0.27466187 267.78482 0.25297892 1.1272070 325.52260 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 218 1.0394960 239.96643 0.30837772 1.1256701 322.64840 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 245 1.2492370 272.69842 0.054733350 0.94133852 318.60518 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 255 0.62865730 214.62937 0.20430479 0.99717573 350.75822 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 262 1.8610398 195.28859 0.11199670 1.1283403 407.97197 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 267 0.38948973 127.61207 0.013280656 0.89643725 377.43131 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 273 0.80157359 110.29903 0.064814302 1.1849223 314.10830 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 283 1.7780633 163.11193 0.16035339 0.92556107 313.25114 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 289 0.46202684 175.36043 0.082109373 0.93074709 344.43877 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 311 1.5681829 219.73872 0.22556409 0.88227443 390.22139 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 314 1.0362765 291.05313 0.13674344 0.93713432 334.92807 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 3 317 0.50599049 244.79694 0.11578383 1.1449866 373.15252 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 3 1.0606989 0.0023562944 0.14126568 1.0027205 0.98648857 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.1671760.1412660.020147 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 8 0.61858853 36.420808 0.16903546 0.95214948 375.98704 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 17 1.6843666 -75.734789 0.26479254 1.1053370 422.91339 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 28 0.99523791 -49.448276 0.22268923 0.86391530 443.90628 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 32 0.42030214 -50.861975 0.059780585 0.85624913 379.71727 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 43 0.98396204 85.166824 0.28623330 0.92733809 433.71097 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 44 0.62021960 81.181735 0.39446842 0.96714757 377.41579 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 70 0.82044095 251.74264 0.27522190 0.86892702 404.63107 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 78 2.0492904 177.91928 0.21709169 1.1209872 370.58754 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 89 1.3814909 241.92310 0.17364073 0.95132926 397.40806 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 95 0.19085732 216.45579 0.11260999 0.88311909 460.71947 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 101 0.32195157 270.72011 0.19041065 1.1483204 356.85036 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 123 1.7600089 262.70385 0.26591697 1.0073761 368.33902 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 124 0.66527659 254.83700 0.23195825 0.95623147 403.92930 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 126 2.6647611 296.85063 0.084506018 1.0715529 340.92768 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 134 2.0004461 242.58220 0.20319923 1.1795378 379.21043 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 156 4.8964730 373.82208 0.11013654 0.86473538 353.51765 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 203 1.1182345 252.19070 0.11839294 0.88874850 438.57630 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 216 2.5677246 300.97483 0.29558654 0.98897495 372.26883 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 218 0.74561897 260.44241 0.11267226 1.1052998 439.33844 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 245 1.1077247 314.47140 0.19918792 0.79182194 388.72127 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 255 1.6129720 250.18241 0.041532925 0.85386118 421.79560 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 262 1.9515722 243.78833 0.38711287 0.81279127 370.58800 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 267 0.91110320 124.30567 0.30532569 0.87678133 421.68084 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 273 1.6062377 109.46137 0.21519369 0.77768634 391.09371 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 283 0.72406420 184.08416 0.074404962 0.85248674 390.57580 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 289 0.68838486 160.61659 0.069792546 0.91050364 432.39674 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 311 0.98002928 256.49323 0.079506550 0.92216099 403.31246 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 314 0.85493306 274.02012 0.27103721 1.1196200 430.64369 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 4 317 0.55751923 327.37766 0.18115521 0.81038953 338.07926 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 4 1.1011586 0.0027267500 0.18371006 0.94892668 0.98604537 LOCATESKYLINES_2: sdR-r1-00034754.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034754.fit: comb2 l,chi^2/dof,fit: 4 1.0335320 -0.00021672003 0.18368067 0.95272330 0.98822595 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.2095910.1836810.017559 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 8 0.57429725 35.844658 0.26584989 1.0121756 422.64184 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 17 1.4803231 -56.510228 0.19254542 1.0502559 522.67542 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 28 1.1857948 -29.322518 0.30050700 0.96164193 510.45295 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 32 1.7263237 -61.274775 0.22742553 1.0461302 517.51969 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 43 1.2078839 87.192859 0.13293286 1.0414911 511.98859 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 44 0.22783020 128.64845 0.32840320 1.0989204 464.35146 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 70 0.46521169 207.95973 0.16703917 1.1220372 490.38417 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 78 1.0092690 189.64361 0.25910939 0.99845512 573.02061 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 89 1.1195171 243.96053 0.22603522 0.98807361 507.18301 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 95 1.7564855 225.15397 0.10677543 1.0477802 427.16976 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 101 1.6294561 284.68453 0.30838342 0.93049890 468.94040 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 123 0.73981784 277.59290 0.33227030 0.99639918 500.67321 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 124 1.3739387 249.59566 0.11008724 0.94075156 522.97499 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 126 0.37094000 278.70986 0.19032708 1.0744015 515.96555 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 134 3.1438499 293.34796 0.28185824 1.0587035 481.39013 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 156 0.96100869 316.59108 0.11629285 0.98228368 522.33173 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 203 1.1196072 247.63923 0.16033752 1.1089140 459.23088 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 216 0.34057503 299.14363 0.14881394 0.88240233 564.90876 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 218 1.0271458 301.82377 0.029775146 0.81599154 505.25046 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 245 1.7691843 284.70719 0.33556477 0.72907983 535.75510 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 255 1.9936741 199.93809 0.34421193 0.99723544 501.20687 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 262 2.4733194 177.66044 0.24422263 1.0710372 510.62781 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 267 1.1723094 119.80616 0.16219338 0.94237456 446.92708 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 273 0.72390583 103.43626 0.29953410 0.93438554 509.62741 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 283 0.36632199 150.81697 0.23526073 0.99563396 563.41581 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 289 1.7279071 160.50796 0.095833751 1.0669750 471.17819 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 311 0.34355125 188.69367 0.16856837 1.1325261 496.15359 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 314 0.46171637 255.64184 0.20195390 1.1048982 476.12380 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 5 317 1.2580890 261.64669 0.19446253 1.1246433 495.49472 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 5 1.0125230 0.0024186949 0.21297973 1.0021164 0.99127763 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.2388900.2129800.015404 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 8 2.1572064 -41.865234 0.15227744 0.93581071 1048.0835 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 17 0.50209149 -73.098474 0.19576661 1.0082816 913.50311 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 28 2.6333949 -98.599477 0.11176994 0.98835194 986.35170 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 32 2.3984981 -99.996488 0.19935727 0.86104220 872.82894 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 43 1.0102259 35.411867 0.082475035 0.96621451 945.64459 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 44 1.7385814 57.683140 0.20932596 0.95003860 997.83078 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 70 0.79560498 198.71630 0.086217864 0.86574977 1008.8345 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 78 0.66932359 166.89681 0.052429604 1.0229206 988.82661 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 89 0.89448138 182.99529 0.067425163 0.97352746 900.65065 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 95 3.3530487 157.57600 0.16825029 0.91699275 1035.8863 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 101 1.4158908 227.79917 0.081715717 0.96275953 1107.8531 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 123 2.0524301 273.69032 0.069758523 0.93293838 991.67207 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 124 2.6378609 248.40049 0.33566457 1.0808060 1030.5120 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 126 1.4881466 246.66787 0.11191849 0.96363297 1010.2788 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 134 1.6872575 225.15746 0.083409522 1.0374560 986.94396 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 156 3.9436650 283.52166 0.10317174 0.94312148 1020.2155 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 203 6.2265527 203.80178 0.12347635 0.98484369 949.07122 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 216 0.82519070 226.95213 0.13162531 1.0090097 927.58696 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 218 3.3126818 205.45025 0.13556984 0.91766125 1053.5190 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 245 3.7741752 193.90522 0.10527451 0.95976254 1054.2836 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 255 2.2044510 131.32725 0.14237752 1.0046429 1025.5117 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 262 4.6636715 118.48628 0.15710268 1.0111062 973.25859 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 267 3.6629091 39.820957 0.064148630 0.96388228 1001.3321 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 273 1.8010746 20.655251 0.053407914 1.0025525 989.98809 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 283 2.4337199 93.876414 0.12469642 0.92504401 1022.8262 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 289 1.0884134 69.412407 0.059425985 1.0616923 980.92353 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 311 1.5340756 147.39962 0.15974489 0.94375241 1052.2159 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 314 0.63175109 215.85757 0.067451037 0.94498464 1055.6119 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 6 317 1.8824759 180.51240 0.18659998 1.0252852 1046.7844 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 6 1.6438285 0.00059005886 0.12128464 0.96825969 0.99687371 LOCATESKYLINES_2: sdR-r1-00034754.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034754.fit: comb2 l,chi^2/dof,fit: 6 1.5592664 0.00065138800 0.11695714 0.96858116 0.99318112 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.1428680.1169570.008639 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 8 2.3088634 -60.197965 0.15279477 1.0106682 1220.8961 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 17 2.2045886 -107.53628 0.18683638 0.95916873 1137.2924 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 28 4.0608233 -122.11135 0.21416954 0.93559930 1203.0012 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 32 0.34157526 -105.79740 0.20965627 0.89235193 1209.5758 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 43 0.61059530 -10.558807 0.20315719 1.0662255 1177.9240 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 44 0.68784821 54.390611 0.20566011 0.97836925 1245.2884 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 70 1.3010804 169.34023 0.12172832 0.90313580 1278.0535 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 78 0.68512445 196.18716 0.17224524 0.97677209 1230.2165 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 89 3.5604185 237.33403 0.19722094 0.88517308 1287.3688 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 95 1.3424877 142.45661 0.19231336 0.96515670 1228.6987 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 101 1.4219776 228.49759 0.17950756 0.92246288 1267.5731 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 123 0.58580946 247.36302 0.18618171 0.90643244 1316.1076 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 124 5.1293706 237.07708 0.11782412 0.91646195 1262.4409 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 126 2.6693225 228.41234 0.062667000 0.95343265 1305.0918 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 134 2.1063362 214.94870 0.19615857 0.98596831 1267.6091 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 156 1.4181288 300.18543 0.12929145 0.92437151 1225.9471 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 203 1.3316413 139.93383 0.068934962 1.0177478 1307.9183 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 216 1.3054023 217.59020 0.10246337 0.94876647 1202.3458 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 218 4.1888286 220.87674 0.073844281 0.92594047 1179.4583 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 245 4.0334721 189.45432 0.14084499 0.98181771 1233.0546 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 255 0.76893654 160.37012 0.14649740 0.90404093 1303.8778 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 262 2.5473805 131.83622 0.14447034 0.92566267 1236.3416 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 267 1.9075290 -59.039239 0.11504940 1.0741644 1324.3548 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 273 2.9350802 12.009234 0.17339056 0.92638914 1242.9814 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 283 2.7935560 92.782686 0.11725711 0.93663935 1344.4327 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 289 3.3453698 120.20897 0.16589218 0.95622713 1213.9225 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 311 2.5634404 144.75118 0.14843826 0.99226546 1261.9667 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 314 1.1956093 190.48099 0.14078463 0.97938137 1184.1814 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 7 317 1.4945240 243.65451 0.21416924 0.91320748 1212.4323 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 7 1.6181487 0.00042114906 0.15273386 0.95099599 0.99746229 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.1786450.1527340.007076 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 8 0.54382877 -108.34510 0.24119785 0.96303357 1458.6613 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 17 2.3748348 -117.39465 0.26000368 0.96063850 1508.8283 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 28 5.6421906 -163.48154 0.20053367 0.98945048 1417.3440 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 32 1.5669125 -131.02900 0.18360907 0.94767116 1407.7022 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 43 1.2136189 -36.033231 0.16623128 0.99414909 1465.4761 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 44 1.5217369 21.072124 0.20404868 0.94524261 1435.6903 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 70 1.8492381 44.494680 0.16155271 0.93642968 1514.5673 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 78 2.3635032 37.328465 0.11984466 0.96843200 1570.1560 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 89 2.7160323 87.091098 0.20122434 0.91076280 1544.5717 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 95 1.9967253 67.651111 0.20906739 0.93785479 1481.9844 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 101 0.76155006 113.85291 0.19109685 0.92091999 1590.2572 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 123 4.9257395 88.197140 0.20023426 0.99573547 1412.9664 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 124 2.7359397 138.25455 0.25823212 0.89848532 1523.1545 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 126 5.0724123 112.55825 0.24806511 0.87744040 1631.9442 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 134 2.8982150 113.08764 0.15275511 0.92932823 1547.4849 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 156 1.8373031 158.49915 0.19345375 0.94144191 1473.7402 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 203 4.5462029 95.656130 0.21925984 0.91101917 1622.0503 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 216 0.99066158 33.039748 0.14418118 1.0000354 1482.4052 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 218 0.70302424 38.536052 0.16350359 0.93862117 1601.3867 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 245 4.2486292 84.244804 0.18210125 0.96337911 1492.5360 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 255 1.8731796 18.771880 0.18069216 0.91864476 1522.2584 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 262 0.89882119 -13.430598 0.13669499 0.99605237 1523.4061 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 267 2.7296658 -87.482230 0.19235817 0.90267139 1599.2722 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 273 2.0830456 -144.17209 0.16896443 0.86645838 1646.2981 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 283 2.4001080 -19.269310 0.18306965 0.95099867 1499.1915 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 289 0.62866584 -12.385919 0.17876571 0.94629582 1531.3183 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 311 3.9085584 -38.002565 0.20982035 0.95719437 1636.4828 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 314 2.2572785 30.913502 0.26233086 0.94439360 1525.4360 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 8 317 0.94842007 86.112812 0.17523090 0.93197787 1536.0295 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 8 1.7112286 0.00013108462 0.19164399 0.94105285 0.99809005 LOCATESKYLINES_2: sdR-r1-00034754.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034754.fit: comb2 l,chi^2/dof,fit: 8 1.6406878 0.00047051043 0.19045524 0.94242238 0.99697410 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.2163660.1904550.005827 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 8 2.2644383 -114.73788 0.21916980 0.95700249 1670.9013 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 17 5.5678991 -105.27547 0.18589131 0.99047082 1631.6211 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 28 2.1426640 -182.51036 0.15167652 0.99357494 1660.0530 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 32 1.6619452 -153.04223 0.19473952 0.93949232 1714.5939 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 43 4.2822082 -55.550681 0.078080655 1.0620530 1720.7159 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 44 4.5002141 -18.410185 0.23429456 0.96800079 1679.6624 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 70 1.3585491 54.931798 0.14481049 0.95551944 1741.2410 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 78 1.7072628 69.149214 0.17317668 1.0001295 1722.2737 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 89 2.6833440 92.605367 0.19183893 0.94047772 1747.3497 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 95 1.1397162 74.625545 0.18515812 0.92329345 1782.2070 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 101 1.0853300 108.94582 0.19137952 0.90389142 1756.0205 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 123 0.95353477 149.08776 0.21066724 0.87356782 1769.6182 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 124 0.71652039 141.40248 0.19567112 0.93926825 1855.9707 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 126 1.7786403 144.55743 0.23708734 0.85648309 2114.4466 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 134 0.58249939 101.92376 0.20307708 0.97835059 1758.8026 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 156 2.9166130 149.19810 0.16418382 0.94692710 1714.7549 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 203 1.3468369 49.631048 0.21255964 0.95975387 1788.9665 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 216 1.2169024 109.42389 0.13254052 0.94109823 1707.8066 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 218 2.2485131 76.497303 0.12096883 0.93343894 1783.1906 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 245 4.1506320 31.155546 0.11339749 1.0067568 1698.5047 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 255 0.69069183 18.312030 0.16204367 0.93617529 1732.3489 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 262 1.6299331 -5.4615349 0.24272424 0.93946269 1631.7923 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 267 1.6312957 -96.212528 0.13039383 0.96724311 1637.7035 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 273 0.17841550 -115.40676 0.17284691 0.96229255 1715.2893 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 283 1.4797733 -45.548043 0.11606064 0.92108761 1782.2131 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 289 2.1246822 -25.945137 0.14956414 0.97196523 1793.2527 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 311 0.80653603 -15.902962 0.16141191 0.94876556 1649.3129 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 314 2.5303361 17.518077 0.092730999 0.94193605 1825.0833 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 9 317 0.27805059 69.171461 0.17383386 0.94189137 1776.8223 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 9 1.7007874 2.7786708e-05 0.17312489 0.94830190 0.99754910 LOCATESKYLINES_2: sdR-r1-00034754.fit: sigma-clipped to 258 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034754.fit: comb2 l,chi^2/dof,fit: 9 1.3925845 0.00010656120 0.17019355 0.94789097 0.99647601 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 258 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.1961040.1701940.005370 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 8 0.28861233 -151.20440 0.38810159 0.95059737 1522.7012 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 17 0.52380305 -134.26515 0.20895346 1.0229799 1504.3896 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 28 0.32307559 -147.69870 0.24763752 1.0229514 1528.6813 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 32 0.45717664 -182.14981 0.24600260 1.0219249 1553.2153 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 43 1.9535530 -151.07759 0.20142170 1.0550824 1539.5729 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 44 4.4309941 -67.857037 0.18783640 0.90630259 1552.0179 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 70 2.3084792 -0.065465111 0.12485015 0.93358471 1585.1503 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 78 2.0699685 4.6255676 0.17803062 0.97495774 1582.1975 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 89 0.76607927 38.804630 0.19993477 0.90812442 1598.7604 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 95 0.94881270 -8.9155194 0.21014271 0.96386856 1580.4523 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 101 1.1987528 41.341237 0.18112927 0.99019594 1446.7810 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 123 0.11050719 46.937502 0.20727954 0.88974956 1678.6009 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 124 0.71156692 39.234917 0.24290413 0.95545940 1641.7502 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 126 0.50818850 65.090470 0.22909243 0.92737448 1654.4403 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 134 1.3173550 38.050592 0.17219294 0.95728765 1596.2273 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 156 2.5434595 69.268789 0.21464316 1.0073242 1502.0112 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 203 1.3954089 -17.484965 0.20645510 1.0024575 1485.0275 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 216 4.0999895 -26.608719 0.15003330 0.90663204 1704.3150 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 218 3.0109899 -31.162002 0.13512608 0.94438732 1619.1611 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 245 0.94801200 -19.843051 0.17573959 1.0019210 1482.8402 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 255 1.1410467 -41.257652 0.15793146 0.97127177 1529.0676 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 262 2.8553109 -148.32566 0.20800236 0.99289518 1534.7374 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 267 0.73581599 -152.19652 0.32929668 0.92084316 1524.3638 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 273 1.8258550 -162.90321 0.25794072 0.96752932 1593.8913 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 283 0.48812275 -112.11277 0.19122997 1.0001900 1612.9160 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 289 1.9453553 -62.443417 0.19645830 0.97140585 1613.4138 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 311 2.1445243 -138.40158 0.23157331 0.96459577 1633.1391 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 314 1.3184039 -60.257748 0.20474800 0.98465606 1481.6728 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 10 317 1.5376436 10.200093 0.15405016 0.96998873 1546.7025 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 10 1.5458904 0.00035650667 0.20441916 0.96595124 0.99694966 LOCATESKYLINES_2: sdR-r1-00034754.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034754.fit: comb2 l,chi^2/dof,fit: 10 1.4788668 0.00078685351 0.20503985 0.96644878 0.99610329 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.2309510.2050400.005610 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 8 3.0606349 -177.75715 0.24545516 1.0190319 1730.6054 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 17 2.1591372 -79.663978 0.27810165 0.93575166 1684.5676 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 28 0.51939420 -163.17880 0.18882501 1.0092355 1730.2054 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 32 0.58877354 -162.97055 0.19736541 0.95639555 1768.5213 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 43 2.7359151 -118.13082 0.25039510 1.0052552 1751.4319 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 44 3.0355658 -63.198380 0.16023842 0.96250178 1721.4307 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 70 1.6742870 13.484365 0.19263071 0.91677726 1845.8077 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 78 0.49911877 -9.4314903 0.18384805 0.96108985 1771.9119 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 89 0.63327280 20.979817 0.20364040 0.93924212 1828.0975 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 95 5.1189510 -1.5120833 0.15379422 1.0044048 1743.8383 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 101 0.20094880 35.356357 0.21544910 0.97386592 1745.1983 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 123 0.93175934 52.349009 0.18119820 0.90938721 1835.5818 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 124 0.66711333 50.675052 0.26287300 0.94533605 1792.1319 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 126 2.6869142 13.108803 0.17572108 0.99311603 1803.1401 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 134 1.2441875 -14.337785 0.22537127 1.0137107 1769.3717 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 156 1.7758331 85.080010 0.18080490 0.95731034 1756.8842 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 203 0.76922935 -13.989666 0.23367966 0.89251270 1890.1750 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 216 1.7641613 -13.570900 0.20780219 0.94793199 1756.0229 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 218 1.4447183 -37.581468 0.18957978 0.94247853 1840.4525 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 245 1.6047212 2.6427611 0.17441639 0.98593629 1753.6015 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 255 2.4359730 -25.175969 0.21187557 0.96755429 1773.4140 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 262 3.8551393 -95.612613 0.21984734 0.94211464 1768.0516 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 267 4.7708856 -210.85245 0.25224399 1.0232927 1760.0688 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 273 1.5913446 -153.69379 0.25991193 0.95381748 1803.8458 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 283 2.3459607 -53.393169 0.26302010 0.90994558 1873.9954 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 289 3.6864170 -102.34562 0.21125681 1.0074549 1847.8553 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 311 1.4398149 -102.30826 0.18229761 0.95414130 1746.7248 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 314 1.3711405 -74.456721 0.14348974 1.0341572 1743.4538 LOCATESKYLINES_2: sdR-r1-00034754.fit: l,f,chi^2/dof,c: 11 317 1.7675801 -21.760230 0.14561060 1.0294517 1693.1262 LOCATESKYLINES_2: sdR-r1-00034754.fit: comb1 l,chi^2/dof,fit: 11 1.7006260 0.00030561863 0.20532188 0.96607799 0.99831771 LOCATESKYLINES_2: sdR-r1-00034754.fit: sigma-clipped to 259 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034754.fit: comb2 l,chi^2/dof,fit: 11 1.5473826 0.00058860492 0.20576318 0.96391163 0.99646370 LOCATESKYLINES_2: sdR-r1-00034754.fit: kept 259 of 261 points LOCATESKYLINES_2: sdR-r1-00034754.fit: offset, refoff, sigma: 0.2316740.2057630.005116 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 FITMEANX: sdR-r1-00034754.fit: In skyline number 0 std-dev is 0.032868097 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 1 std-dev is 0.046070177 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 2 std-dev is 0.12350778 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 3 std-dev is 0.064221752 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 4 std-dev is 0.062509178 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 5 std-dev is 0.044764843 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 6 std-dev is 0.038489426 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 7 std-dev is 0.038776166 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 8 std-dev is 0.040627458 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 9 std-dev is 0.042242912 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 10 std-dev is 0.040561682 pix FITMEANX: sdR-r1-00034754.fit: In skyline number 11 std-dev is 0.044561137 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 6300.3040 coadded std-dev is 0.00484998 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 6363.7760 coadded std-dev is 0.0116877 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 6553.6100 coadded std-dev is 0.0364316 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 6923.2100 coadded std-dev is 0.0201474 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 6949.0300 coadded std-dev is 0.0175586 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 7571.7500 coadded std-dev is 0.0154036 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 7794.1200 coadded std-dev is 0.00863923 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 7821.5100 coadded std-dev is 0.00707587 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 8399.1600 coadded std-dev is 0.00582653 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 8430.1700 coadded std-dev is 0.00537019 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 8885.8300 coadded std-dev is 0.00561023 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: In sky feature at 8919.6100 coadded std-dev is 0.00511578 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034754.fit: Median arc shift = 0.18835315 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: Dispersion in arc shift = 0.015364750 pix LOCATESKYLINES_2: sdR-r1-00034754.fit: Maximum sky-line shift is 0.24734286 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Number of sky fibers = 14 ROW NITER SIG(med) CHI^2 .0000 18 0.86 1.57 .0001 10 0.86 0.82 .0002 7 0.86 0.93 .0003 7 0.86 0.75 .0004 11 0.86 0.77 .0005 10 0.86 0.67 .0006 12 0.86 0.80 .0007 17 0.86 2.42 .0008 5 0.86 0.88 .0009 12 0.86 0.82 .0010 5 0.86 0.86 .0011 12 0.86 0.77 .0012 12 0.86 0.73 .0013 8 0.86 0.88 .0014 12 0.86 0.69 .0015 8 0.86 0.84 .0016 5 0.86 0.96 .0017 2 0.86 0.91 .0018 16 0.86 1.57 .0019 15 0.86 1.38 .0020 8 0.86 0.90 .0021 12 0.86 0.85 .0022 11 0.86 0.83 .0023 11 0.86 0.76 .0024 14 0.86 1.19 .0025 11 0.86 0.71 .0026 9 0.86 0.70 .0027 11 0.86 0.91 .0028 2 0.86 0.88 .0029 17 0.86 1.63 .0030 14 0.86 0.93 .0031 5 0.86 0.75 .0032 3 0.86 0.98 .0033 15 0.86 1.16 .0034 5 0.86 1.14 .0035 14 0.86 0.84 .0036 17 0.86 1.68 .0037 7 0.86 1.13 .0038 13 0.86 0.85 .0039 8 0.86 0.84 .0040 12 0.86 0.78 .0041 9 0.86 0.83 .0042 12 0.86 1.00 .0043 4 0.86 0.98 .0044 4 0.86 0.90 .0045 12 0.86 0.69 .0046 11 0.86 0.72 .0047 12 0.86 0.78 .0048 5 0.86 1.02 .0049 10 0.86 0.81 .0050 11 0.86 0.90 .0051 12 0.86 0.73 .0052 7 0.86 1.03 .0053 12 0.86 1.11 .0054 13 0.86 0.81 .0055 12 0.86 0.80 .0056 11 0.86 0.85 .0057 7 0.86 1.01 .0058 12 0.86 1.01 .0059 12 0.86 0.77 .0060 2 0.85 0.97 .0061 3 0.85 0.92 .0062 5 0.85 0.92 .0063 4 0.85 0.93 .0064 3 0.85 0.94 .0065 3 0.85 0.85 .0066 13 0.85 0.96 .0067 4 0.85 0.96 .0068 2 0.85 1.08 .0069 3 0.85 1.04 .0070 6 0.85 0.84 .0071 14 0.85 1.19 .0072 5 0.85 0.89 .0073 3 0.85 0.85 .0074 3 0.85 0.90 .0075 2 0.85 1.06 .0076 11 0.85 0.85 .0077 13 0.85 1.12 .0078 4 0.85 1.20 .0079 13 0.85 0.90 .0080 12 0.83 0.81 .0081 12 0.83 0.76 .0082 10 0.83 0.89 .0083 14 0.83 0.89 .0084 20 0.83 0.94 .0085 11 0.83 0.75 .0086 12 0.83 0.88 .0087 7 0.83 0.94 .0088 11 0.83 0.93 .0089 8 0.83 0.83 .0090 0 0.83 0.00 .0091 3 0.83 0.40 .0092 8 0.83 0.85 .0093 12 0.83 0.92 .0094 19 0.83 1.38 .0095 4 0.83 0.84 .0096 9 0.83 0.85 .0097 9 0.83 0.92 .0098 5 0.83 0.69 .0099 14 0.83 1.04 .0100 3 0.83 0.99 .0101 6 0.83 1.00 .0102 3 0.83 1.16 .0103 3 0.83 1.22 .0104 3 0.83 1.00 .0105 5 0.83 1.00 .0106 1 0.83 1.06 .0107 2 0.83 1.09 .0108 2 0.83 1.02 .0109 4 0.83 0.85 .0110 2 0.83 1.31 .0111 3 0.83 1.22 .0112 6 0.83 0.95 .0113 3 0.83 1.15 .0114 3 0.83 1.03 .0115 5 0.83 0.97 .0116 3 0.83 1.08 .0117 5 0.83 0.95 .0118 3 0.83 1.33 .0119 5 0.83 0.86 .0120 18 0.81 1.23 .0121 17 0.81 1.30 .0122 5 0.81 0.85 .0123 6 0.81 0.82 .0124 4 0.81 1.09 .0125 13 0.81 2.21 .0126 4 0.81 0.97 .0127 11 0.81 0.84 .0128 12 0.81 0.90 .0129 7 0.81 0.95 .0130 13 0.81 0.98 .0131 4 0.81 1.39 .0132 5 0.81 1.06 .0133 17 0.81 2.80 .0134 4 0.81 1.03 .0135 12 0.81 0.74 .0136 13 0.81 0.96 .0137 17 0.81 2.03 .0138 14 0.81 1.26 .0139 17 0.81 1.35 .0140 4 0.82 0.80 .0141 3 0.82 0.90 .0142 3 0.82 0.91 .0143 5 0.82 1.03 .0144 4 0.82 0.88 .0145 4 0.82 0.81 .0146 2 0.82 1.12 .0147 3 0.82 1.03 .0148 2 0.82 1.38 .0149 6 0.82 1.12 .0150 3 0.82 1.28 .0151 2 0.82 1.27 .0152 3 0.82 1.06 .0153 3 0.82 1.12 .0154 6 0.82 0.91 .0155 5 0.82 0.84 .0156 7 0.82 1.04 .0157 4 0.82 1.10 .0158 8 0.82 0.98 .0159 2 0.82 1.02 .0160 5 0.82 1.03 .0161 4 0.82 0.90 .0162 3 0.82 1.30 .0163 6 0.82 1.31 .0164 5 0.82 0.89 .0165 4 0.82 1.92 .0166 4 0.82 1.21 .0167 10 0.82 0.92 .0168 2 0.82 1.22 .0169 6 0.82 1.01 .0170 7 0.82 1.16 .0171 5 0.82 0.96 .0172 9 0.82 1.17 .0173 4 0.82 0.67 .0174 3 0.82 0.50 .0175 6 0.82 1.21 .0176 5 0.82 0.87 .0177 5 0.82 0.90 .0178 5 0.82 1.05 .0179 9 0.82 1.24 .0180 10 0.82 0.87 .0181 4 0.82 0.86 .0182 3 0.82 0.85 .0183 5 0.82 1.00 .0184 5 0.82 0.96 .0185 2 0.82 0.88 .0186 3 0.82 1.22 .0187 3 0.82 0.92 .0188 2 0.82 0.60 .0189 3 0.82 1.16 .0190 5 0.82 0.90 .0191 4 0.82 1.24 .0192 3 0.82 1.13 .0193 2 0.82 1.09 .0194 6 0.82 0.89 .0195 6 0.82 0.98 .0196 5 0.82 0.92 .0197 14 0.82 0.83 .0198 2 0.82 0.98 .0199 3 0.82 0.87 .0200 11 0.81 0.70 .0201 5 0.81 1.20 .0202 13 0.81 0.94 .0203 4 0.81 1.16 .0204 11 0.81 0.76 .0205 12 0.81 0.80 .0206 12 0.81 0.58 .0207 8 0.81 0.88 .0208 8 0.81 0.87 .0209 13 0.81 0.93 .0210 15 0.81 1.02 .0211 14 0.81 3.22 .0212 12 0.81 0.81 .0213 15 0.81 0.91 .0214 7 0.81 0.95 .0215 6 0.81 0.76 .0216 3 0.81 0.90 .0217 15 0.81 1.48 .0218 6 0.81 0.81 .0219 19 0.81 1.23 .0220 13 0.82 1.05 .0221 2 0.82 0.89 .0222 10 0.82 0.90 .0223 2 0.82 0.91 .0224 14 0.82 1.45 .0225 5 0.82 0.92 .0226 12 0.82 0.90 .0227 11 0.82 0.76 .0228 18 0.82 1.56 .0229 3 0.82 0.70 .0230 3 0.82 1.04 .0231 14 0.82 1.09 .0232 3 0.82 0.94 .0233 3 0.82 0.96 .0234 3 0.82 1.09 .0235 2 0.82 1.23 .0236 2 0.82 1.24 .0237 4 0.82 0.90 .0238 4 0.82 1.09 .0239 3 0.82 2.15 .0240 12 0.83 0.82 .0241 17 0.83 1.73 .0242 4 0.83 1.15 .0243 13 0.83 0.82 .0244 12 0.83 0.82 .0245 2 0.83 1.11 .0246 11 0.83 0.89 .0247 10 0.83 0.82 .0248 3 0.83 0.78 choldc failed 28 .0249 1 0.83 743.66 .0250 12 0.83 0.82 .0251 0 0.83 0.00 .0252 12 0.83 1.04 .0253 13 0.83 2.56 .0254 10 0.83 1.16 .0255 4 0.83 1.00 .0256 6 0.83 0.80 .0257 14 0.83 1.38 .0258 12 0.83 0.77 .0259 12 0.83 0.82 .0260 15 0.84 0.91 .0261 8 0.84 0.86 .0262 2 0.84 1.05 .0263 12 0.84 0.78 .0264 20 0.84 1.56 .0265 13 0.84 2.57 .0266 10 0.84 0.91 .0267 2 0.84 0.97 .0268 11 0.84 0.65 .0269 13 0.84 1.01 .0270 10 0.84 0.82 .0271 13 0.84 0.96 .0272 15 0.84 1.36 .0273 4 0.84 0.90 .0274 15 0.84 1.25 .0275 13 0.84 1.15 .0276 20 0.84 1.66 .0277 8 0.84 0.86 .0278 7 0.84 1.12 .0279 9 0.84 0.85 .0280 6 0.82 1.18 .0281 12 0.82 0.83 .0282 12 0.82 0.89 .0283 4 0.82 0.95 .0284 12 0.82 0.83 .0285 12 0.82 1.05 .0286 9 0.82 0.77 .0287 12 0.82 0.82 .0288 14 0.82 1.06 .0289 5 0.82 0.97 .0290 16 0.82 1.69 .0291 12 0.82 0.83 .0292 6 0.82 0.88 .0293 13 0.82 0.84 .0294 0 0.82 0.00 .0295 17 0.82 0.94 .0296 11 0.82 0.87 .0297 12 0.82 1.98 .0298 5 0.82 1.21 .0299 5 0.82 0.91 .0300 12 0.84 0.92 .0301 7 0.84 0.79 .0302 6 0.84 0.95 .0303 20 0.84 2.00 .0304 10 0.84 0.82 .0305 12 0.84 0.84 .0306 6 0.84 0.94 .0307 16 0.84 1.02 .0308 9 0.84 0.70 .0309 13 0.84 0.91 .0310 14 0.84 1.58 .0311 2 0.84 1.20 .0312 6 0.84 1.13 .0313 18 0.84 1.38 .0314 4 0.84 1.04 .0315 16 0.84 1.41 .0316 18 0.84 1.10 .0317 4 0.84 0.96 .0318 12 0.84 0.99 .0319 7 0.84 0.92 EXTRACT_IMAGE: sdR-r1-00034754.fit: masked 3314 pixels SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 0 median sigma(arc)= 0.86431171 sigma(sky)= 0.40252657 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 0 sigma^2(add)= -0.48377399 +/- 0.38472175 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 1 median sigma(arc)= 0.86109564 sigma(sky)= 1.1337766 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 1 sigma^2(add)= 0.54396465 +/- 0.53146338 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 2 median sigma(arc)= 0.85311607 sigma(sky)= -4849.5282 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 2 sigma^2(add)= 21499821. +/- 17782504. SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 3 median sigma(arc)= 0.84388253 sigma(sky)= 1.0698718 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 3 sigma^2(add)= 0.43249760 +/- 0.79681715 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 4 median sigma(arc)= 0.84351758 sigma(sky)= 1.3591913 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 4 sigma^2(add)= 1.1359108 +/- 0.55587491 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 5 median sigma(arc)= 0.84401407 sigma(sky)= -0.73276922 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 5 sigma^2(add)= 0.67319243 +/- 1209446.1 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 6 median sigma(arc)= 0.84792328 sigma(sky)= 0.88276548 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 6 sigma^2(add)= 0.060360955 +/- 0.21586754 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 7 median sigma(arc)= 0.84852137 sigma(sky)= 1.1383263 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 7 sigma^2(add)= 0.57584923 +/- 0.25912766 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 8 median sigma(arc)= 0.86630480 sigma(sky)= 0.93888135 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 8 sigma^2(add)= 0.13114030 +/- 0.15209623 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 9 median sigma(arc)= 0.86750879 sigma(sky)= 0.88306643 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 9 sigma^2(add)= 0.027252654 +/- 0.15013369 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 10 median sigma(arc)= 0.88759696 sigma(sky)= 0.96131279 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 10 sigma^2(add)= 0.13630528 +/- 0.13530085 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 11 median sigma(arc)= 0.88924708 sigma(sky)= 0.96945500 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Line # 11 sigma^2(add)= 0.14909573 +/- 0.18587182 SKYLINE_DISPERSION: sdR-r1-00034754.fit: Flexure sigma^2(add) = 0.078262377 +/- 0.11335808 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034754.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034754.fit: Heliocentric correction = 23.276670 km/s FITVACSET: sdR-r1-00034754.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034754.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034754.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034754.fit: Number of pixels rejected: 0 SKYSUBTRACT: sdR-r1-00034754.fit: Number of sky fibers = 14 SKYSUBTRACT: sdR-r1-00034754.fit: Airmass range = 1.18519 1.21977 SKYSUBTRACT: sdR-r1-00034754.fit: Discarding 0.00565011 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 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REDMONSTER: sdR-r1-00034754.fit: WARNING: Bad sky residuals at 7100 to 7139 Ang; Peak chi= 4.31 EXTRACT_OBJECT: sdR-r1-00034754.fit: Calling skysubtract again; masked skyfibers 28 SKYSUBTRACT: sdR-r1-00034754.fit: Number of sky fibers = 13 SKYSUBTRACT: sdR-r1-00034754.fit: Airmass range = 1.18519 1.21977 SKYSUBTRACT: sdR-r1-00034754.fit: Discarding 0.00608474 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 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of 2046 Bin 1972 of 2046 Bin 1973 of 2046 Bin 1974 of 2046 Bin 1975 of 2046 Bin 1976 of 2046 Bin 1977 of 2046 Bin 1978 of 2046 Bin 1979 of 2046 Bin 1980 of 2046 Bin 1981 of 2046 Bin 1982 of 2046 Bin 1983 of 2046 Bin 1984 of 2046 Bin 1985 of 2046 Bin 1986 of 2046 Bin 1987 of 2046 Bin 1988 of 2046 Bin 1989 of 2046 Bin 1990 of 2046 Bin 1991 of 2046 Bin 1992 of 2046 Bin 1993 of 2046 Bin 1994 of 2046 Bin 1995 of 2046 Bin 1996 of 2046 Bin 1997 of 2046 Bin 1998 of 2046 Bin 1999 of 2046 Bin 2000 of 2046 Bin 2001 of 2046 Bin 2002 of 2046 Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034754.fit: Median sky-residual chi2 = 5.06549 SKYSUBTRACT: sdR-r1-00034754.fit: Max sky-residual chi2 = 42.7717 QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 44 = -112.363 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 45 = -99.8468 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 90 = 25.5906 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 102 = 57.1114 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 157 = 104.148 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 204 = 11.5602 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 246 = 31.9100 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 284 = -72.8777 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 290 = -56.4126 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 312 = -37.1637 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 315 = 19.0396 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 318 = 27.2660 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Median sky-residual chi = 2.32669 QAPLOT_SKYSUB: sdR-r1-00034754.fit: Max sky-residual chi = 7.49371 at 6563.6142 Ang QAPLOT_SKYSUB: sdR-r1-00034754.fit: WARNING: Max sky-residual chi = 7.49371 at 6563.6142 Ang SKYSUBTRACT: sdR-r1-00034754.fit: Number of sky fibers = 13 SKYSUBTRACT: sdR-r1-00034754.fit: Airmass range = 1.18519 1.21977 SKYSUBTRACT: sdR-r1-00034754.fit: Discarding 0.00608474 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 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of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034754.fit: Median sky-residual chi2 = 4.45400 SKYSUBTRACT: sdR-r1-00034754.fit: Max sky-residual chi2 = 25.1998 QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 44 = -45.1298 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 45 = -33.3717 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 90 = 24.0674 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 102 = 41.1032 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 157 = 47.7051 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 204 = -49.6441 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 256 = -41.4990 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 284 = -76.5931 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 290 = -53.6595 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 315 = 51.9192 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Warning: Median sky-sub flux in sky fiber 318 = 71.4329 electrons QAPLOT_SKYSUB: sdR-r1-00034754.fit: Median sky-residual chi = 2.11336 QAPLOT_SKYSUB: sdR-r1-00034754.fit: Max sky-residual chi = 5.48574 at 6565.2093 Ang QAPLOT_SKYSUB: sdR-r1-00034754.fit: WARNING: Max sky-residual chi = 5.48574 at 6565.2093 Ang QAPLOT_SKYLINE: sdR-r1-00034754.fit: Airmass range = 1.19 1.22 QAPLOT_SKYLINE: sdR-r1-00034754.fit: Flux dispersion for skyline 7343.0 = 4.25 % QAPLOT_SKYLINE: sdR-r1-00034754.fit: Airmass range = 1.19 1.22 QAPLOT_SKYLINE: sdR-r1-00034754.fit: Flux dispersion for skyline 8888.3 = 4.07 % SPADD_GUIDERINFO: sdR-r1-00034754.fit: Number of guider frames = 11 SPREDUCE: sdR-r1-00034754.fit: Elapsed time = 167. seconds SPREDUCE: sdR-r1-00034755.fit: Reading object sdR-r1-00034755.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r1-00034755.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r1-00034755.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r1-00034755.fit: Measured read-noise in DN for amp# 2 = 3.95115 SDSSPROC: sdR-r1-00034755.fit: Measured bias value in DN for amp# 2 = 1182.16 SDSSPROC: sdR-r1-00034755.fit: Applying gain for amp# 2 = 1.09000 SDSSPROC: sdR-r1-00034755.fit: Amp #2 Number of pix below bias-5*sigma= 1162. DN is 0 SDSSPROC: sdR-r1-00034755.fit: Measured read-noise in DN for amp# 3 = 3.59649 SDSSPROC: sdR-r1-00034755.fit: Measured bias value in DN for amp# 3 = 1232.31 SDSSPROC: sdR-r1-00034755.fit: Applying gain for amp# 3 = 1.00000 SDSSPROC: sdR-r1-00034755.fit: Amp #3 Number of pix below bias-5*sigma= 1212. DN is 0 SDSSPROC: sdR-r1-00034755.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r1-00034755.fit: Selecting op file pixbiasave-00001-r1.fits SDSSPROC: sdR-r1-00034755.fit: Correcting with bias image pixbiasave-00001-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r1-00034755.fit: Selecting op file pixflatave-53678-r1.fits SDSSPROC: sdR-r1-00034755.fit: Correcting with pixel flat pixflatave-53678-r1.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r1-00034755.fit: Science 25-th-percentile = 501.718 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203 EXTRACT_OBJECT: sdR-r1-00034755.fit: Whopping fibers: 7 36 66 71 77 79 94 120 125 128 130 133 135 210 217 220 224 241 243 250 253 257 260 264 270 272 276 284 290 293 295 303 307 310 313 315 EXTRACT_OBJECT: sdR-r1-00034755.fit: Median counts in all fibers = 16200.1 EXTRACT_OBJECT: sdR-r1-00034755.fit: Number of bright fibers = 36 EXTRACT_OBJECT: sdR-r1-00034755.fit: Sky fiber median 1854.33 EXTRACT_OBJECT: sdR-r1-00034755.fit: 5% and 95% count levels 1000.53 32032.4 EXTRACT_OBJECT: sdR-r1-00034755.fit: WARNING: Disable whopping terms sdR-r1-00034755.fit MATCH_TRACE: sdR-r1-00034755.fit: Iteration: 0 Pixels Rejected: 10131 Finished? 0 MATCH_TRACE: sdR-r1-00034755.fit: Iteration: 1 Pixels Rejected: 620 Finished? 0 MATCH_TRACE: sdR-r1-00034755.fit: Iteration: 2 Pixels Rejected: 13 Finished? 0 MATCH_TRACE: sdR-r1-00034755.fit: Iteration: 3 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r1-00034755.fit: Shifting traces by match_trace 0.0217285 EXTRACT_OBJECT: sdR-r1-00034755.fit: Extracting frame sdR-r1-00034755.fit with 4 step process EXTRACT_OBJECT: sdR-r1-00034755.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 3 0.95 1.99 .0001 3 0.95 1.89 .0002 2 0.95 1.97 .0003 2 0.95 1.75 .0004 2 0.95 1.93 .0005 2 0.95 1.98 .0006 2 0.95 1.80 .0007 2 0.95 1.91 .0008 2 0.95 1.89 .0009 2 0.95 2.04 .0010 2 0.95 2.33 .0011 2 0.95 2.09 .0012 2 0.95 2.19 .0013 2 0.95 2.33 .0014 3 0.95 2.39 .0015 2 0.95 2.45 .0016 3 0.95 2.29 .0017 2 0.95 2.45 .0018 2 0.95 2.37 .0019 4 0.95 2.57 .0020 3 0.95 2.67 .0021 3 0.95 2.54 .0022 3 0.95 2.56 .0023 3 0.95 2.69 .0024 3 0.95 2.91 .0025 3 0.95 2.63 .0026 4 0.95 2.71 .0027 2 0.95 2.97 .0028 2 0.95 3.10 .0029 2 0.95 3.07 .0030 2 0.95 2.81 .0031 2 0.95 2.89 .0032 2 0.95 3.05 .0033 2 0.95 3.08 .0034 4 0.95 3.19 .0035 3 0.95 3.47 .0036 2 0.95 3.35 .0037 2 0.95 3.37 .0038 3 0.95 3.44 .0039 2 0.95 3.50 .0040 2 0.95 3.47 .0041 2 0.95 3.72 .0042 2 0.95 3.63 .0043 2 0.95 3.53 .0044 2 0.95 3.79 .0045 2 0.95 3.61 .0046 2 0.95 3.99 .0047 3 0.95 4.15 .0048 4 0.95 4.01 .0049 1 0.95 4.39 .0050 2 0.95 4.09 .0051 2 0.95 3.97 .0052 2 0.95 4.31 .0053 2 0.95 4.26 .0054 1 0.95 4.12 .0055 2 0.95 4.18 .0056 2 0.95 4.25 .0057 1 0.95 4.13 .0058 2 0.95 4.55 .0059 1 0.95 4.49 .0060 2 0.95 4.48 .0061 2 0.95 4.57 .0062 1 0.95 4.31 .0063 2 0.95 4.36 .0064 1 0.95 4.50 .0065 1 0.95 4.20 .0066 1 0.95 4.35 .0067 1 0.95 4.65 .0068 2 0.95 4.60 .0069 1 0.95 4.44 .0070 2 0.94 4.55 .0071 1 0.94 4.83 .0072 2 0.94 4.36 .0073 2 0.94 4.65 .0074 3 0.94 4.61 .0075 1 0.94 4.59 .0076 1 0.94 4.51 .0077 2 0.94 4.44 .0078 2 0.94 4.46 .0079 1 0.94 4.66 .0080 2 0.94 4.61 .0081 2 0.94 4.47 .0082 1 0.94 4.93 .0083 1 0.94 4.57 .0084 1 0.94 4.75 .0085 2 0.94 4.83 .0086 2 0.94 4.81 .0087 1 0.94 4.98 .0088 1 0.94 5.04 .0089 2 0.94 4.82 .0090 2 0.94 4.75 .0091 2 0.94 5.17 .0092 1 0.94 5.22 .0093 1 0.94 4.66 .0094 1 0.94 4.78 .0095 1 0.94 4.65 .0096 1 0.94 4.78 .0097 1 0.94 4.89 .0098 1 0.94 5.47 .0099 1 0.94 5.09 .0100 2 0.94 4.96 .0101 2 0.94 4.75 .0102 2 0.94 5.31 .0103 3 0.94 4.94 .0104 2 0.94 5.34 .0105 3 0.94 5.13 .0106 1 0.94 5.02 .0107 2 0.94 4.83 .0108 1 0.94 4.97 .0109 2 0.94 4.84 .0110 1 0.94 4.82 .0111 1 0.94 4.91 .0112 1 0.94 4.84 .0113 1 0.94 5.07 .0114 1 0.94 4.72 .0115 1 0.94 4.73 .0116 1 0.94 4.76 .0117 1 0.94 4.76 .0118 1 0.94 4.77 .0119 1 0.94 4.86 .0120 1 0.94 4.88 .0121 2 0.94 4.91 .0122 2 0.94 4.88 .0123 1 0.94 4.85 .0124 2 0.94 4.75 .0125 1 0.94 4.93 .0126 2 0.94 4.81 .0127 2 0.94 4.94 .0128 2 0.94 4.62 .0129 2 0.94 4.56 .0130 2 0.94 4.90 .0131 1 0.94 4.63 .0132 2 0.94 4.89 .0133 1 0.94 5.41 .0134 2 0.94 5.09 .0135 2 0.94 4.83 .0136 1 0.94 4.98 .0137 2 0.94 5.78 .0138 2 0.94 5.10 .0139 2 0.94 4.70 .0140 1 0.94 4.64 .0141 1 0.94 4.66 .0142 1 0.94 4.72 .0143 1 0.94 4.69 .0144 2 0.94 4.66 .0145 2 0.94 4.65 .0146 2 0.94 5.02 .0147 1 0.94 4.93 .0148 1 0.94 4.54 .0149 3 0.94 4.75 .0150 1 0.94 5.03 .0151 1 0.94 4.90 .0152 1 0.94 4.82 .0153 1 0.94 4.74 .0154 1 0.93 4.53 .0155 1 0.93 4.68 .0156 1 0.93 5.04 .0157 2 0.93 4.83 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0.93 8.28 .1656 1 0.93 8.25 .1657 1 0.93 7.91 .1658 1 0.93 8.11 .1659 1 0.93 8.08 .1660 1 0.93 8.33 .1661 1 0.93 8.10 .1662 1 0.93 8.39 .1663 1 0.93 8.47 .1664 1 0.93 8.39 .1665 1 0.93 8.43 .1666 2 0.93 8.36 .1667 1 0.93 8.17 .1668 1 0.93 8.44 .1669 2 0.93 8.40 .1670 1 0.93 8.39 .1671 2 0.93 9.69 .1672 3 0.93 8.01 .1673 2 0.93 8.04 .1674 2 0.93 9.09 .1675 3 0.93 7.87 .1676 2 0.93 8.41 .1677 3 0.93 8.41 .1678 1 0.93 7.70 .1679 3 0.93 7.83 .1680 2 0.93 7.77 .1681 2 0.93 7.51 .1682 1 0.93 7.39 .1683 1 0.93 7.58 .1684 1 0.93 7.91 .1685 1 0.93 7.89 .1686 2 0.93 8.06 .1687 1 0.93 7.76 .1688 1 0.93 8.32 .1689 1 0.93 8.10 .1690 1 0.93 8.27 .1691 1 0.93 8.37 .1692 2 0.93 8.33 .1693 1 0.93 8.35 .1694 1 0.93 8.05 .1695 1 0.93 8.49 .1696 1 0.93 8.37 .1697 1 0.93 8.49 .1698 1 0.93 7.83 .1699 3 0.93 8.28 .1700 3 0.93 9.29 .1701 1 0.93 8.41 .1702 1 0.93 7.94 .1703 1 0.93 8.14 .1704 2 0.93 8.36 .1705 5 0.93 8.66 .1706 1 0.93 8.80 .1707 1 0.93 8.54 .1708 1 0.93 8.02 .1709 1 0.93 7.87 .1710 1 0.93 8.48 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0.92 8.37 .1767 1 0.92 7.91 .1768 1 0.92 7.81 .1769 2 0.92 7.70 .1770 2 0.92 7.87 .1771 1 0.92 7.30 .1772 1 0.92 8.08 .1773 1 0.92 7.91 .1774 2 0.92 7.98 .1775 3 0.92 7.50 .1776 2 0.92 7.64 .1777 1 0.92 7.55 .1778 1 0.92 7.57 .1779 1 0.92 7.50 .1780 1 0.92 7.56 .1781 2 0.92 8.48 .1782 3 0.92 7.59 .1783 2 0.92 7.95 .1784 1 0.92 7.55 .1785 2 0.92 7.96 .1786 2 0.92 8.02 .1787 2 0.92 7.45 .1788 2 0.92 7.40 .1789 1 0.92 7.50 .1790 1 0.92 7.65 .1791 2 0.92 7.33 .1792 2 0.92 7.69 .1793 2 0.92 7.43 .1794 1 0.92 7.10 .1795 1 0.92 7.23 .1796 1 0.92 7.17 .1797 2 0.92 7.42 .1798 2 0.92 7.84 .1799 1 0.92 7.25 .1800 1 0.92 7.40 .1801 1 0.92 7.46 .1802 1 0.92 7.23 .1803 2 0.92 7.68 .1804 2 0.92 7.42 .1805 1 0.92 7.04 .1806 1 0.92 7.11 .1807 1 0.92 7.46 .1808 2 0.92 7.70 .1809 1 0.92 7.38 .1810 1 0.92 7.58 .1811 1 0.92 7.44 .1812 1 0.92 7.74 .1813 1 0.92 7.71 .1814 2 0.92 7.60 .1815 1 0.92 7.26 .1816 1 0.92 7.27 .1817 1 0.92 7.76 .1818 1 0.92 7.51 .1819 1 0.92 7.66 .1820 1 0.92 7.57 .1821 1 0.92 7.48 .1822 1 0.92 7.30 .1823 2 0.92 7.97 .1824 2 0.92 8.01 .1825 1 0.92 7.88 .1826 2 0.92 7.78 .1827 1 0.92 7.42 .1828 1 0.92 7.45 .1829 1 0.92 7.62 .1830 1 0.92 7.55 .1831 1 0.92 7.63 .1832 1 0.92 7.29 .1833 1 0.92 7.71 .1834 1 0.92 7.70 .1835 3 0.92 7.86 .1836 2 0.92 7.86 .1837 2 0.92 7.97 .1838 2 0.92 7.53 .1839 2 0.92 7.77 .1840 2 0.92 8.56 .1841 3 0.92 7.52 .1842 2 0.92 7.80 .1843 2 0.92 7.73 .1844 1 0.92 8.31 .1845 1 0.92 7.79 .1846 1 0.92 7.51 .1847 2 0.92 7.47 .1848 1 0.92 7.67 .1849 2 0.92 7.98 .1850 2 0.92 7.41 .1851 1 0.92 8.02 .1852 2 0.92 7.87 .1853 3 0.92 8.17 .1854 2 0.92 7.81 .1855 2 0.92 7.19 .1856 1 0.92 7.44 .1857 1 0.92 7.42 .1858 2 0.92 7.14 .1859 2 0.92 7.51 .1860 2 0.92 7.41 .1861 2 0.92 8.15 .1862 2 0.92 7.28 .1863 3 0.92 7.34 .1864 2 0.92 7.30 .1865 1 0.92 7.46 .1866 1 0.92 7.77 .1867 1 0.92 7.30 .1868 3 0.92 7.71 .1869 1 0.92 8.07 .1870 1 0.92 7.56 .1871 1 0.92 7.73 .1872 1 0.92 7.74 .1873 1 0.92 7.63 .1874 1 0.92 7.68 .1875 3 0.92 7.80 .1876 1 0.92 7.94 .1877 1 0.92 8.11 .1878 1 0.92 8.22 .1879 3 0.92 7.75 .1880 2 0.92 8.90 .1881 2 0.92 7.57 .1882 1 0.92 7.81 .1883 3 0.92 7.43 .1884 3 0.92 7.66 .1885 1 0.92 7.55 .1886 1 0.92 7.90 .1887 1 0.92 8.07 .1888 2 0.92 7.88 .1889 2 0.92 8.50 .1890 3 0.92 7.72 .1891 1 0.92 8.43 .1892 1 0.92 7.97 .1893 1 0.92 7.70 .1894 1 0.92 8.01 .1895 1 0.92 7.82 .1896 1 0.92 7.78 .1897 1 0.92 7.66 .1898 3 0.92 7.68 .1899 2 0.92 7.85 .1900 1 0.92 7.99 .1901 2 0.92 7.76 .1902 1 0.92 7.72 .1903 2 0.92 7.58 .1904 1 0.92 7.64 .1905 1 0.92 7.86 .1906 1 0.92 7.87 .1907 1 0.92 7.64 .1908 1 0.92 8.49 .1909 1 0.92 7.80 .1910 1 0.92 8.24 .1911 1 0.92 8.07 .1912 1 0.92 7.47 .1913 1 0.92 7.64 .1914 1 0.92 8.06 .1915 2 0.92 7.60 .1916 1 0.92 7.72 .1917 1 0.92 7.55 .1918 1 0.92 7.53 .1919 2 0.92 7.72 .1920 2 0.92 7.37 .1921 2 0.92 7.54 .1922 3 0.92 8.08 .1923 3 0.92 7.37 .1924 2 0.92 7.44 .1925 2 0.92 8.28 .1926 2 0.92 7.66 .1927 2 0.92 7.73 .1928 2 0.92 7.52 .1929 1 0.92 7.03 .1930 1 0.92 6.89 .1931 2 0.92 7.47 .1932 3 0.92 6.81 .1933 1 0.92 6.77 .1934 1 0.92 6.82 .1935 2 0.92 7.09 .1936 2 0.92 6.79 .1937 2 0.92 7.11 .1938 1 0.92 7.14 .1939 1 0.92 7.15 .1940 1 0.92 6.64 .1941 1 0.92 6.81 .1942 2 0.92 7.41 .1943 1 0.92 6.80 .1944 2 0.92 6.94 .1945 1 0.92 7.18 .1946 1 0.92 6.91 .1947 2 0.92 6.92 .1948 1 0.92 6.89 .1949 1 0.92 7.46 .1950 1 0.92 7.06 .1951 2 0.92 7.22 .1952 1 0.92 7.70 .1953 1 0.92 7.46 .1954 2 0.92 7.53 .1955 2 0.92 7.87 .1956 1 0.92 7.91 .1957 1 0.92 7.66 .1958 1 0.92 7.99 .1959 2 0.92 7.82 .1960 3 0.92 7.42 .1961 2 0.92 7.97 .1962 3 0.92 7.74 .1963 2 0.92 8.32 .1964 1 0.92 8.30 .1965 1 0.92 7.74 .1966 1 0.92 8.06 .1967 2 0.92 7.67 .1968 1 0.92 7.34 .1969 1 0.92 7.43 .1970 2 0.92 7.72 .1971 1 0.92 8.38 .1972 1 0.92 7.53 .1973 1 0.92 7.46 .1974 2 0.92 7.86 .1975 2 0.92 8.00 .1976 1 0.92 7.09 .1977 3 0.92 7.37 .1978 3 0.92 7.47 .1979 2 0.92 7.56 .1980 3 0.92 6.95 .1981 2 0.92 7.15 .1982 2 0.92 7.38 .1983 2 0.92 7.73 .1984 1 0.92 7.41 .1985 1 0.92 7.33 .1986 1 0.92 7.15 .1987 1 0.92 7.76 .1988 3 0.92 7.34 .1989 2 0.92 7.54 .1990 1 0.92 7.19 .1991 1 0.92 7.21 .1992 1 0.92 7.31 .1993 1 0.92 7.24 .1994 3 0.92 7.52 .1995 1 0.92 7.77 .1996 2 0.92 8.56 .1997 1 0.92 7.30 .1998 1 0.92 7.67 .1999 2 0.92 7.69 .2000 1 0.92 7.98 .2001 1 0.92 7.36 .2002 2 0.92 7.67 .2003 1 0.92 7.37 .2004 1 0.92 7.41 .2005 1 0.92 7.40 .2006 1 0.92 7.82 .2007 2 0.92 8.18 .2008 1 0.92 8.93 .2009 1 0.92 7.55 .2010 2 0.92 7.46 .2011 3 0.92 7.68 .2012 3 0.92 8.02 .2013 2 0.92 8.32 .2014 1 0.92 7.64 .2015 1 0.92 7.25 .2016 1 0.92 7.50 .2017 2 0.92 7.41 .2018 1 0.92 7.24 .2019 2 0.92 7.53 .2020 1 0.92 7.49 .2021 2 0.92 7.28 .2022 1 0.92 7.17 .2023 1 0.92 7.14 .2024 2 0.92 6.95 .2025 2 0.92 6.78 .2026 1 0.92 6.97 .2027 1 0.92 7.31 .2028 1 0.92 7.86 .2029 1 0.92 7.45 .2030 1 0.92 7.28 .2031 2 0.92 7.13 .2032 1 0.92 7.50 .2033 1 0.92 7.48 .2034 2 0.92 7.77 .2035 2 0.92 8.14 .2036 2 0.92 7.14 .2037 2 0.92 7.60 .2038 2 0.92 7.21 .2039 3 0.92 7.53 .2040 3 0.92 7.16 .2041 2 0.92 7.34 .2042 1 0.92 7.60 .2043 2 0.92 7.43 .2044 1 0.92 7.05 .2045 2 0.92 7.91 .2046 1 0.92 8.23 .2047 1 0.92 7.73 EXTRACT_IMAGE: sdR-r1-00034755.fit: masked 1259 pixels EXTRACT_OBJECT: sdR-r1-00034755.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034755.fit: WARNING: Scattered light median = 238.699 electrons QAPLOT_SCATLIGHT: sdR-r1-00034755.fit: WARNING: Scattered light max = 577.745 electrons EXTRACT_OBJECT: sdR-r1-00034755.fit: Step 3: Calculate halo image DOSCATTER: sdR-r1-00034755.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r1-00034755.fit: Selecting op file scattering-r1-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r1-00034755.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.58 96 0.03 0.17 Step 36 of 2112 0.58 96 0.04 0.18 Step 44 of 2112 0.58 96 0.03 0.16 Step 52 of 2112 0.59 96 0.03 0.15 Step 60 of 2112 0.59 96 0.03 0.16 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.16 Step 84 of 2112 0.59 96 0.03 0.15 Step 92 of 2112 0.59 96 0.03 0.15 Step 100 of 2112 0.59 96 0.02 0.16 Step 108 of 2112 0.59 96 0.02 0.15 Step 116 of 2112 0.60 96 0.03 0.16 Step 124 of 2112 0.60 96 0.03 0.17 Step 132 of 2112 0.60 96 0.02 0.16 Step 140 of 2112 0.60 96 0.02 0.18 Step 148 of 2112 0.60 96 0.02 0.16 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.60 96 0.03 0.18 Step 172 of 2112 0.60 96 0.02 0.16 Step 180 of 2112 0.60 96 0.02 0.16 Step 188 of 2112 0.61 96 0.02 0.16 Step 196 of 2112 0.61 96 0.02 0.15 Step 204 of 2112 0.61 96 0.02 0.16 Step 212 of 2112 0.61 96 0.02 0.17 Step 220 of 2112 0.61 96 0.02 0.16 Step 228 of 2112 0.61 96 0.03 0.18 Step 236 of 2112 0.61 96 0.02 0.15 Step 244 of 2112 0.61 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.17 Step 268 of 2112 0.62 96 0.02 0.16 Step 276 of 2112 0.62 96 0.03 0.17 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.62 96 0.02 0.16 Step 300 of 2112 0.62 96 0.02 0.16 Step 308 of 2112 0.62 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.16 Step 332 of 2112 0.63 96 0.03 0.18 Step 340 of 2112 0.63 96 0.02 0.17 Step 348 of 2112 0.63 96 0.02 0.16 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.63 96 0.02 0.15 Step 372 of 2112 0.63 96 0.02 0.17 Step 380 of 2112 0.64 96 0.02 0.17 Step 388 of 2112 0.64 96 0.02 0.16 Step 396 of 2112 0.64 96 0.02 0.17 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.14 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.64 96 0.02 0.15 Step 436 of 2112 0.64 96 0.03 0.18 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.16 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.16 Step 476 of 2112 0.65 96 0.02 0.16 Step 484 of 2112 0.65 128 0.03 0.23 Step 492 of 2112 0.65 128 0.02 0.20 Step 500 of 2112 0.65 128 0.02 0.20 Step 508 of 2112 0.66 128 0.02 0.21 Step 516 of 2112 0.66 128 0.03 0.21 Step 524 of 2112 0.66 128 0.02 0.23 Step 532 of 2112 0.66 128 0.02 0.20 Step 540 of 2112 0.66 128 0.02 0.21 Step 548 of 2112 0.66 128 0.03 0.22 Step 556 of 2112 0.66 128 0.03 0.23 Step 564 of 2112 0.66 128 0.02 0.24 Step 572 of 2112 0.67 128 0.03 0.23 Step 580 of 2112 0.67 128 0.03 0.24 Step 588 of 2112 0.67 128 0.03 0.22 Step 596 of 2112 0.67 128 0.03 0.21 Step 604 of 2112 0.67 128 0.02 0.22 Step 612 of 2112 0.67 128 0.04 0.23 Step 620 of 2112 0.67 128 0.03 0.20 Step 628 of 2112 0.68 128 0.02 0.21 Step 636 of 2112 0.68 128 0.02 0.21 Step 644 of 2112 0.68 128 0.02 0.21 Step 652 of 2112 0.68 128 0.03 0.21 Step 660 of 2112 0.68 128 0.02 0.21 Step 668 of 2112 0.68 128 0.01 0.20 Step 676 of 2112 0.68 128 0.02 0.21 Step 684 of 2112 0.68 128 0.02 0.21 Step 692 of 2112 0.69 128 0.02 0.22 Step 700 of 2112 0.69 128 0.02 0.22 Step 708 of 2112 0.69 128 0.03 0.23 Step 716 of 2112 0.69 128 0.03 0.22 Step 724 of 2112 0.69 128 0.03 0.21 Step 732 of 2112 0.69 128 0.02 0.20 Step 740 of 2112 0.69 128 0.02 0.21 Step 748 of 2112 0.69 128 0.01 0.19 Step 756 of 2112 0.70 128 0.01 0.20 Step 764 of 2112 0.70 128 0.02 0.21 Step 772 of 2112 0.70 128 0.01 0.20 Step 780 of 2112 0.70 128 0.01 0.21 Step 788 of 2112 0.70 128 0.01 0.21 Step 796 of 2112 0.70 128 0.02 0.21 Step 804 of 2112 0.70 128 0.03 0.20 Step 812 of 2112 0.71 128 0.04 0.23 Step 820 of 2112 0.71 128 0.03 0.21 Step 828 of 2112 0.71 128 0.02 0.22 Step 836 of 2112 0.71 128 0.02 0.23 Step 844 of 2112 0.71 128 0.02 0.22 Step 852 of 2112 0.71 128 0.03 0.22 Step 860 of 2112 0.71 128 0.02 0.23 Step 868 of 2112 0.71 128 0.02 0.22 Step 876 of 2112 0.72 128 0.03 0.22 Step 884 of 2112 0.72 128 0.02 0.21 Step 892 of 2112 0.72 128 0.02 0.21 Step 900 of 2112 0.72 128 0.02 0.23 Step 908 of 2112 0.72 128 0.04 0.24 Step 916 of 2112 0.72 128 0.02 0.21 Step 924 of 2112 0.72 128 0.03 0.20 Step 932 of 2112 0.72 128 0.03 0.22 Step 940 of 2112 0.73 128 0.03 0.22 Step 948 of 2112 0.73 128 0.03 0.23 Step 956 of 2112 0.73 128 0.03 0.22 Step 964 of 2112 0.73 128 0.02 0.21 Step 972 of 2112 0.73 128 0.03 0.23 Step 980 of 2112 0.73 160 0.03 0.33 Step 988 of 2112 0.73 160 0.03 0.35 Step 996 of 2112 0.74 160 0.03 0.34 Step 1004 of 2112 0.74 160 0.03 0.34 Step 1012 of 2112 0.74 160 0.03 0.35 Step 1020 of 2112 0.74 160 0.03 0.40 Step 1028 of 2112 0.74 160 0.04 0.37 Step 1036 of 2112 0.74 160 0.04 0.34 Step 1044 of 2112 0.74 160 0.03 0.34 Step 1052 of 2112 0.75 160 0.03 0.32 Step 1060 of 2112 0.75 160 0.03 0.33 Step 1068 of 2112 0.75 160 0.03 0.33 Step 1076 of 2112 0.75 160 0.03 0.32 Step 1084 of 2112 0.75 160 0.03 0.34 Step 1092 of 2112 0.75 160 0.04 0.39 Step 1100 of 2112 0.75 160 0.03 0.34 Step 1108 of 2112 0.75 160 0.04 0.35 Step 1116 of 2112 0.76 160 0.04 0.34 Step 1124 of 2112 0.76 160 0.04 0.37 Step 1132 of 2112 0.76 160 0.03 0.34 Step 1140 of 2112 0.76 160 0.03 0.32 Step 1148 of 2112 0.76 160 0.03 0.37 Step 1156 of 2112 0.76 160 0.04 0.38 Step 1164 of 2112 0.76 160 0.02 0.37 Step 1172 of 2112 0.77 160 0.03 0.34 Step 1180 of 2112 0.77 160 0.03 0.33 Step 1188 of 2112 0.77 160 0.03 0.33 Step 1196 of 2112 0.77 160 0.03 0.34 Step 1204 of 2112 0.77 160 0.03 0.34 Step 1212 of 2112 0.77 160 0.03 0.36 Step 1220 of 2112 0.77 160 0.03 0.36 Step 1228 of 2112 0.78 160 0.04 0.37 Step 1236 of 2112 0.78 160 0.03 0.34 Step 1244 of 2112 0.78 160 0.02 0.33 Step 1252 of 2112 0.78 160 0.03 0.34 Step 1260 of 2112 0.78 160 0.03 0.34 Step 1268 of 2112 0.78 160 0.03 0.33 Step 1276 of 2112 0.78 160 0.03 0.35 Step 1284 of 2112 0.78 160 0.03 0.35 Step 1292 of 2112 0.79 160 0.04 0.34 Step 1300 of 2112 0.79 160 0.03 0.34 Step 1308 of 2112 0.79 160 0.04 0.33 Step 1316 of 2112 0.79 160 0.03 0.34 Step 1324 of 2112 0.79 160 0.03 0.34 Step 1332 of 2112 0.79 160 0.03 0.35 Step 1340 of 2112 0.79 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.34 Step 1356 of 2112 0.80 160 0.04 0.34 Step 1364 of 2112 0.80 192 0.04 0.38 Step 1372 of 2112 0.80 192 0.05 0.37 Step 1380 of 2112 0.80 192 0.04 0.38 Step 1388 of 2112 0.80 192 0.04 0.38 Step 1396 of 2112 0.80 192 0.03 0.38 Step 1404 of 2112 0.81 192 0.04 0.39 Step 1412 of 2112 0.81 192 0.04 0.41 Step 1420 of 2112 0.81 192 0.05 0.39 Step 1428 of 2112 0.81 192 0.04 0.37 Step 1436 of 2112 0.81 192 0.04 0.39 Step 1444 of 2112 0.81 192 0.04 0.37 Step 1452 of 2112 0.81 192 0.04 0.39 Step 1460 of 2112 0.82 192 0.04 0.39 Step 1468 of 2112 0.82 192 0.04 0.44 Step 1476 of 2112 0.82 192 0.04 0.39 Step 1484 of 2112 0.82 192 0.05 0.39 Step 1492 of 2112 0.82 192 0.04 0.46 Step 1500 of 2112 0.82 192 0.05 0.43 Step 1508 of 2112 0.82 192 0.04 0.38 Step 1516 of 2112 0.83 192 0.04 0.40 Step 1524 of 2112 0.83 192 0.04 0.37 Step 1532 of 2112 0.83 192 0.04 0.38 Step 1540 of 2112 0.83 192 0.04 0.38 Step 1548 of 2112 0.83 192 0.02 0.41 Step 1556 of 2112 0.83 192 0.03 0.39 Step 1564 of 2112 0.83 192 0.03 0.39 Step 1572 of 2112 0.84 192 0.04 0.38 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.04 0.39 Step 1596 of 2112 0.84 192 0.04 0.39 Step 1604 of 2112 0.84 192 0.03 0.39 Step 1612 of 2112 0.84 192 0.03 0.37 Step 1620 of 2112 0.84 192 0.03 0.37 Step 1628 of 2112 0.84 192 0.02 0.39 Step 1636 of 2112 0.85 192 0.03 0.37 Step 1644 of 2112 0.85 192 0.03 0.37 Step 1652 of 2112 0.85 192 0.04 0.39 Step 1660 of 2112 0.85 192 0.04 0.38 Step 1668 of 2112 0.85 192 0.04 0.40 Step 1676 of 2112 0.85 192 0.04 0.36 Step 1684 of 2112 0.85 192 0.04 0.38 Step 1692 of 2112 0.86 224 0.05 0.50 Step 1700 of 2112 0.86 224 0.04 0.48 Step 1708 of 2112 0.86 224 0.04 0.52 Step 1716 of 2112 0.86 224 0.03 0.49 Step 1724 of 2112 0.86 224 0.05 0.48 Step 1732 of 2112 0.86 224 0.04 0.47 Step 1740 of 2112 0.86 224 0.05 0.52 Step 1748 of 2112 0.87 224 0.04 0.49 Step 1756 of 2112 0.87 224 0.05 0.49 Step 1764 of 2112 0.87 224 0.04 0.50 Step 1772 of 2112 0.87 224 0.04 0.50 Step 1780 of 2112 0.87 224 0.04 0.49 Step 1788 of 2112 0.87 224 0.04 0.53 Step 1796 of 2112 0.87 224 0.04 0.48 Step 1804 of 2112 0.88 224 0.05 0.49 Step 1812 of 2112 0.88 224 0.05 0.52 Step 1820 of 2112 0.88 224 0.04 0.50 Step 1828 of 2112 0.88 224 0.04 0.53 Step 1836 of 2112 0.88 224 0.04 0.52 Step 1844 of 2112 0.88 224 0.04 0.49 Step 1852 of 2112 0.88 224 0.05 0.50 Step 1860 of 2112 0.89 224 0.05 0.54 Step 1868 of 2112 0.89 224 0.05 0.51 Step 1876 of 2112 0.89 224 0.04 0.48 Step 1884 of 2112 0.89 224 0.04 0.55 Step 1892 of 2112 0.89 224 0.04 0.50 Step 1900 of 2112 0.89 224 0.04 0.53 Step 1908 of 2112 0.89 224 0.05 0.55 Step 1916 of 2112 0.90 224 0.04 0.48 Step 1924 of 2112 0.90 224 0.05 0.50 Step 1932 of 2112 0.90 224 0.04 0.47 Step 1940 of 2112 0.90 224 0.04 0.50 Step 1948 of 2112 0.90 224 0.06 0.53 Step 1956 of 2112 0.90 224 0.05 0.52 Step 1964 of 2112 0.90 256 0.05 0.57 Step 1972 of 2112 0.91 256 0.06 0.57 Step 1980 of 2112 0.91 256 0.05 0.57 Step 1988 of 2112 0.91 256 0.06 0.62 Step 1996 of 2112 0.91 256 0.06 0.55 Step 2004 of 2112 0.91 256 0.07 0.55 Step 2012 of 2112 0.91 256 0.05 0.50 Step 2020 of 2112 0.91 256 0.05 0.52 Step 2028 of 2112 0.92 256 0.06 0.52 Step 2036 of 2112 0.92 256 0.03 0.53 Step 2044 of 2112 0.92 256 0.06 0.53 Step 2052 of 2112 0.92 256 0.05 0.54 Step 2060 of 2112 0.92 256 0.05 0.54 Step 2068 of 2112 0.92 256 0.05 0.50 Step 2076 of 2112 0.92 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.03 0.52 Step 2092 of 2112 0.93 256 0.04 0.50 Step 2100 of 2112 0.93 256 0.05 0.54 Step 2108 of 2112 0.93 256 0.05 0.56 EXTRACT_OBJECT: sdR-r1-00034755.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 3 0.95 1.92 .0001 3 0.95 1.81 .0002 2 0.95 1.89 .0003 2 0.95 1.66 .0004 2 0.95 1.82 .0005 2 0.95 1.87 .0006 2 0.95 1.71 .0007 2 0.95 1.78 .0008 2 0.95 1.76 .0009 2 0.95 1.90 .0010 2 0.95 2.18 .0011 2 0.95 1.94 .0012 2 0.95 2.02 .0013 2 0.95 2.14 .0014 3 0.95 2.21 .0015 3 0.95 2.15 .0016 3 0.95 2.09 .0017 2 0.95 2.25 .0018 2 0.95 2.15 .0019 5 0.95 2.20 .0020 3 0.95 2.44 .0021 3 0.95 2.28 .0022 3 0.95 2.30 .0023 3 0.95 2.42 .0024 3 0.95 2.63 .0025 3 0.95 2.34 .0026 3 0.95 2.57 .0027 2 0.95 2.63 .0028 2 0.95 2.77 .0029 3 0.95 2.55 .0030 2 0.95 2.47 .0031 2 0.95 2.55 .0032 2 0.95 2.68 .0033 2 0.95 2.73 .0034 3 0.95 2.78 .0035 3 0.95 3.04 .0036 2 0.95 2.92 .0037 2 0.95 2.95 .0038 2 0.95 2.96 .0039 2 0.95 3.02 .0040 2 0.95 2.99 .0041 2 0.95 3.23 .0042 2 0.95 3.13 .0043 2 0.95 3.00 .0044 2 0.95 3.22 .0045 2 0.95 3.03 .0046 2 0.95 3.22 .0047 4 0.95 3.34 .0048 4 0.95 3.22 .0049 1 0.95 3.76 .0050 2 0.95 3.47 .0051 2 0.95 3.35 .0052 2 0.95 3.62 .0053 2 0.95 3.59 .0054 1 0.95 3.46 .0055 2 0.95 3.49 .0056 2 0.95 3.52 .0057 1 0.95 3.42 .0058 2 0.95 3.80 .0059 1 0.95 3.72 .0060 3 0.95 3.45 .0061 2 0.95 3.77 .0062 1 0.95 3.53 .0063 2 0.95 3.56 .0064 1 0.95 3.64 .0065 1 0.95 3.38 .0066 1 0.95 3.53 .0067 1 0.95 3.76 .0068 2 0.95 3.74 .0069 1 0.95 3.61 .0070 2 0.94 3.64 .0071 1 0.94 3.92 .0072 2 0.94 3.51 .0073 3 0.94 3.57 .0074 2 0.94 3.69 .0075 1 0.94 3.70 .0076 1 0.94 3.58 .0077 2 0.94 3.54 .0078 2 0.94 3.56 .0079 1 0.94 3.71 .0080 2 0.94 3.67 .0081 2 0.94 3.52 .0082 1 0.94 3.97 .0083 1 0.94 3.63 .0084 1 0.94 3.80 .0085 2 0.94 3.78 .0086 2 0.94 3.76 .0087 2 0.94 3.68 .0088 1 0.94 3.98 .0089 2 0.94 3.79 .0090 2 0.94 3.68 .0091 2 0.94 4.10 .0092 1 0.94 4.13 .0093 1 0.94 3.62 .0094 1 0.94 3.70 .0095 1 0.94 3.62 .0096 1 0.94 3.70 .0097 1 0.94 3.78 .0098 1 0.94 4.32 .0099 1 0.94 3.95 .0100 2 0.94 3.82 .0101 2 0.94 3.62 .0102 3 0.94 3.97 .0103 3 0.94 3.81 .0104 3 0.94 3.95 .0105 3 0.94 3.96 .0106 1 0.94 3.85 .0107 2 0.94 3.69 .0108 1 0.94 3.82 .0109 2 0.94 3.74 .0110 1 0.94 3.68 .0111 1 0.94 3.78 .0112 1 0.94 3.70 .0113 1 0.94 3.94 .0114 1 0.94 3.60 .0115 1 0.94 3.60 .0116 1 0.94 3.58 .0117 1 0.94 3.63 .0118 1 0.94 3.61 .0119 1 0.94 3.74 .0120 2 0.94 3.52 .0121 2 0.94 3.53 .0122 2 0.94 3.71 .0123 1 0.94 3.71 .0124 2 0.94 3.57 .0125 1 0.94 3.74 .0126 2 0.94 3.61 .0127 2 0.94 3.74 .0128 2 0.94 3.49 .0129 2 0.94 3.37 .0130 2 0.94 3.76 .0131 1 0.94 3.48 .0132 3 0.94 3.57 .0133 2 0.94 3.64 .0134 2 0.94 3.93 .0135 2 0.94 3.68 .0136 1 0.94 3.83 .0137 2 0.94 4.61 .0138 2 0.94 3.89 .0139 2 0.94 3.51 .0140 1 0.94 3.47 .0141 1 0.94 3.50 .0142 1 0.94 3.53 .0143 1 0.94 3.45 .0144 2 0.94 3.48 .0145 2 0.94 3.50 .0146 2 0.94 3.80 .0147 1 0.94 3.71 .0148 1 0.94 3.39 .0149 3 0.94 3.56 .0150 1 0.94 3.80 .0151 1 0.94 3.67 .0152 1 0.94 3.63 .0153 1 0.94 3.50 .0154 1 0.93 3.36 .0155 1 0.93 3.48 .0156 2 0.93 3.46 .0157 3 0.93 3.54 .0158 1 0.93 3.64 .0159 2 0.93 3.54 .0160 2 0.93 3.50 .0161 3 0.93 3.44 .0162 2 0.93 3.77 .0163 2 0.93 3.39 .0164 3 0.93 3.64 .0165 2 0.93 3.59 .0166 1 0.93 3.56 .0167 2 0.93 3.87 .0168 2 0.93 3.55 .0169 2 0.93 3.51 .0170 2 0.93 3.83 .0171 2 0.93 3.95 .0172 2 0.93 3.56 .0173 1 0.93 3.72 .0174 2 0.93 3.82 .0175 2 0.93 4.11 .0176 2 0.93 3.71 .0177 3 0.93 3.93 .0178 1 0.93 3.91 .0179 2 0.93 3.75 .0180 2 0.93 4.00 .0181 3 0.93 4.09 .0182 4 0.93 3.87 .0183 2 0.93 4.08 .0184 2 0.93 3.96 .0185 2 0.93 3.87 .0186 2 0.93 4.10 .0187 2 0.93 4.00 .0188 2 0.93 4.27 .0189 2 0.93 4.21 .0190 3 0.93 4.37 .0191 2 0.93 4.16 .0192 2 0.93 3.90 .0193 2 0.93 4.20 .0194 1 0.93 4.16 .0195 3 0.93 4.18 .0196 1 0.93 4.43 .0197 1 0.93 4.23 .0198 1 0.93 4.26 .0199 3 0.93 4.46 .0200 1 0.93 4.41 .0201 1 0.93 4.34 .0202 2 0.93 4.45 .0203 1 0.93 4.74 .0204 1 0.93 4.37 .0205 2 0.93 4.24 .0206 3 0.93 4.55 .0207 1 0.93 4.52 .0208 1 0.93 4.76 .0209 2 0.93 4.99 .0210 4 0.93 4.80 .0211 1 0.93 4.68 .0212 3 0.93 4.71 .0213 3 0.93 4.88 .0214 1 0.93 4.91 .0215 1 0.93 4.79 .0216 1 0.93 4.84 .0217 3 0.93 5.31 .0218 1 0.93 5.06 .0219 1 0.93 5.18 .0220 1 0.93 5.08 .0221 3 0.93 4.99 .0222 1 0.93 5.44 .0223 3 0.93 5.22 .0224 2 0.93 5.22 .0225 1 0.93 5.41 .0226 1 0.93 5.31 .0227 2 0.93 5.27 .0228 2 0.93 5.36 .0229 3 0.93 5.45 .0230 2 0.93 5.58 .0231 3 0.93 5.26 .0232 2 0.93 5.53 .0233 2 0.93 5.27 .0234 2 0.93 5.54 .0235 2 0.93 5.57 .0236 1 0.93 5.73 .0237 1 0.93 5.39 .0238 1 0.93 5.69 .0239 2 0.93 5.41 .0240 1 0.93 5.55 .0241 1 0.93 5.59 .0242 1 0.93 5.39 .0243 1 0.93 5.60 .0244 1 0.93 5.63 .0245 1 0.93 5.96 .0246 2 0.93 5.47 .0247 1 0.93 5.44 .0248 1 0.93 5.40 .0249 1 0.93 5.24 .0250 2 0.93 5.58 .0251 2 0.93 5.74 .0252 1 0.93 5.41 .0253 1 0.93 5.11 .0254 1 0.93 5.20 .0255 2 0.93 5.17 .0256 2 0.93 5.08 .0257 2 0.93 5.23 .0258 1 0.93 5.05 .0259 2 0.93 5.04 .0260 1 0.93 4.81 .0261 1 0.93 4.74 .0262 1 0.93 4.82 .0263 1 0.93 4.92 .0264 2 0.93 5.20 .0265 1 0.93 5.48 .0266 2 0.93 4.74 .0267 2 0.93 4.95 .0268 1 0.93 4.66 .0269 1 0.93 4.75 .0270 3 0.93 4.67 .0271 2 0.93 4.98 .0272 2 0.93 4.84 .0273 1 0.93 4.59 .0274 1 0.93 4.65 .0275 1 0.93 4.62 .0276 1 0.93 4.36 .0277 1 0.93 4.44 .0278 1 0.93 4.50 .0279 1 0.93 4.62 .0280 1 0.93 4.38 .0281 2 0.93 4.54 .0282 1 0.93 4.61 .0283 1 0.93 4.60 .0284 1 0.93 4.56 .0285 2 0.93 4.50 .0286 1 0.93 4.33 .0287 2 0.93 5.27 .0288 2 0.93 4.49 .0289 3 0.93 4.43 .0290 2 0.93 4.97 .0291 3 0.93 4.47 .0292 2 0.93 4.56 .0293 3 0.92 4.71 .0294 3 0.92 4.79 .0295 1 0.92 4.61 .0296 1 0.92 4.67 .0297 2 0.92 4.17 .0298 1 0.92 4.47 .0299 3 0.92 4.22 .0300 2 0.92 4.41 .0301 3 0.92 4.67 .0302 1 0.92 4.47 .0303 3 0.92 4.41 .0304 2 0.92 4.53 .0305 1 0.92 4.53 .0306 1 0.92 4.25 .0307 1 0.92 4.44 .0308 2 0.92 4.25 .0309 2 0.92 4.64 .0310 2 0.92 4.41 .0311 1 0.92 4.57 .0312 2 0.92 4.53 .0313 1 0.92 4.45 .0314 1 0.92 4.48 .0315 1 0.92 4.59 .0316 4 0.92 4.64 .0317 4 0.92 4.69 .0318 1 0.92 4.70 .0319 1 0.92 4.55 .0320 2 0.92 4.94 .0321 1 0.92 4.75 .0322 2 0.92 4.64 .0323 2 0.92 4.77 .0324 2 0.92 5.17 .0325 1 0.92 4.78 .0326 2 0.92 4.89 .0327 1 0.92 4.67 .0328 1 0.92 4.93 .0329 1 0.92 5.03 .0330 1 0.92 4.88 .0331 2 0.92 4.95 .0332 2 0.92 5.56 .0333 1 0.92 5.44 .0334 2 0.92 5.04 .0335 1 0.92 5.43 .0336 2 0.92 5.76 .0337 2 0.92 5.31 .0338 2 0.92 5.07 .0339 1 0.92 5.14 .0340 1 0.92 5.50 .0341 1 0.92 5.27 .0342 1 0.92 5.48 .0343 1 0.92 5.35 .0344 1 0.92 5.53 .0345 2 0.92 5.20 .0346 1 0.92 5.13 .0347 1 0.92 5.32 .0348 1 0.92 5.17 .0349 1 0.92 5.29 .0350 3 0.92 5.07 .0351 3 0.92 5.56 .0352 3 0.92 5.49 .0353 3 0.92 6.51 .0354 3 0.92 5.60 .0355 2 0.92 5.29 .0356 2 0.92 5.30 .0357 1 0.92 5.33 .0358 1 0.92 5.33 .0359 1 0.92 5.37 .0360 2 0.92 5.53 .0361 1 0.92 5.55 .0362 2 0.92 6.19 .0363 2 0.92 5.29 .0364 3 0.92 5.23 .0365 1 0.92 5.37 .0366 1 0.92 5.49 .0367 1 0.92 5.25 .0368 1 0.92 5.34 .0369 1 0.92 5.30 .0370 1 0.92 5.64 .0371 1 0.92 5.17 .0372 1 0.92 5.42 .0373 3 0.92 5.31 .0374 2 0.92 5.52 .0375 1 0.92 5.26 .0376 1 0.92 5.19 .0377 1 0.92 5.11 .0378 1 0.92 5.27 .0379 2 0.92 5.03 .0380 3 0.92 5.40 .0381 1 0.92 5.02 .0382 1 0.92 5.05 .0383 2 0.92 4.96 .0384 1 0.92 5.13 .0385 1 0.92 5.00 .0386 1 0.92 4.88 .0387 2 0.92 5.12 .0388 1 0.92 5.00 .0389 2 0.92 4.97 .0390 1 0.92 5.00 .0391 1 0.92 4.92 .0392 2 0.92 4.99 .0393 1 0.92 5.08 .0394 4 0.92 4.77 .0395 2 0.92 5.43 .0396 2 0.92 4.78 .0397 1 0.92 5.15 .0398 3 0.92 4.93 .0399 1 0.92 5.07 .0400 2 0.92 4.69 .0401 1 0.92 4.84 .0402 1 0.92 4.80 .0403 2 0.92 4.95 .0404 1 0.92 4.71 .0405 1 0.92 4.70 .0406 1 0.92 4.94 .0407 1 0.92 4.85 .0408 1 0.92 4.67 .0409 1 0.92 4.84 .0410 1 0.92 4.57 .0411 2 0.92 5.03 .0412 1 0.92 4.81 .0413 1 0.92 4.57 .0414 1 0.92 4.83 .0415 2 0.92 4.87 .0416 2 0.92 4.74 .0417 2 0.92 5.11 .0418 2 0.92 4.76 .0419 2 0.92 4.71 .0420 1 0.92 4.81 .0421 1 0.92 4.76 .0422 1 0.92 4.67 .0423 2 0.92 4.88 .0424 1 0.92 4.93 .0425 2 0.92 4.98 .0426 1 0.92 5.35 .0427 3 0.92 4.88 .0428 1 0.92 4.99 .0429 2 0.92 4.97 .0430 1 0.92 4.94 .0431 1 0.92 4.83 .0432 1 0.92 4.67 .0433 1 0.92 4.73 .0434 1 0.92 4.82 .0435 2 0.92 5.01 .0436 3 0.92 4.88 .0437 3 0.92 5.17 .0438 2 0.92 4.99 .0439 2 0.92 4.88 .0440 3 0.92 4.71 .0441 2 0.92 4.88 .0442 2 0.92 4.96 .0443 2 0.92 4.95 .0444 1 0.92 4.83 .0445 2 0.92 4.66 .0446 2 0.92 4.99 .0447 2 0.92 4.88 .0448 2 0.92 4.97 .0449 1 0.92 4.94 .0450 3 0.92 4.86 .0451 2 0.92 5.54 .0452 2 0.92 4.92 .0453 3 0.92 4.99 .0454 2 0.92 5.28 .0455 2 0.92 4.82 .0456 2 0.92 4.96 .0457 1 0.92 4.95 .0458 2 0.92 5.11 .0459 2 0.92 4.81 .0460 2 0.92 4.90 .0461 1 0.92 4.85 .0462 1 0.92 5.02 .0463 3 0.92 4.87 .0464 1 0.92 4.65 .0465 1 0.92 4.79 .0466 1 0.92 4.70 .0467 1 0.92 4.90 .0468 1 0.92 4.50 .0469 1 0.92 4.86 .0470 1 0.92 4.68 .0471 1 0.92 4.91 .0472 1 0.92 4.65 .0473 1 0.92 5.09 .0474 1 0.92 4.62 .0475 1 0.92 4.67 .0476 1 0.92 4.79 .0477 2 0.92 4.75 .0478 1 0.92 4.87 .0479 1 0.92 4.73 .0480 1 0.92 4.58 .0481 1 0.92 4.46 .0482 1 0.92 4.55 .0483 2 0.92 4.48 .0484 2 0.92 4.48 .0485 1 0.92 4.57 .0486 1 0.92 4.30 .0487 2 0.92 4.35 .0488 2 0.92 4.59 .0489 2 0.91 4.49 .0490 3 0.91 4.28 .0491 1 0.91 4.52 .0492 1 0.91 4.44 .0493 2 0.91 4.37 .0494 1 0.91 4.47 .0495 1 0.91 4.46 .0496 1 0.91 4.01 .0497 1 0.91 4.14 .0498 2 0.91 4.18 .0499 3 0.91 4.25 .0500 1 0.91 4.19 .0501 1 0.91 4.08 .0502 1 0.91 4.04 .0503 2 0.91 4.34 .0504 2 0.91 4.02 .0505 2 0.91 3.87 .0506 1 0.91 3.97 .0507 1 0.91 3.94 .0508 2 0.91 4.14 .0509 2 0.91 3.82 .0510 4 0.91 3.73 .0511 2 0.91 3.85 .0512 3 0.91 3.83 .0513 4 0.91 3.77 .0514 2 0.91 4.22 .0515 2 0.91 3.76 .0516 2 0.91 3.97 .0517 2 0.91 3.93 .0518 1 0.91 3.88 .0519 2 0.91 4.18 .0520 1 0.91 4.31 .0521 1 0.91 4.62 .0522 1 0.91 4.19 .0523 1 0.91 4.10 .0524 1 0.91 4.15 .0525 1 0.91 4.10 .0526 1 0.91 4.21 .0527 1 0.91 4.05 .0528 1 0.91 4.13 .0529 1 0.91 4.36 .0530 1 0.91 4.36 .0531 3 0.91 4.61 .0532 3 0.91 4.47 .0533 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1 0.92 3.25 .1755 2 0.92 3.17 .1756 2 0.92 3.12 .1757 2 0.92 3.19 .1758 2 0.92 3.23 .1759 1 0.92 3.43 .1760 2 0.92 3.57 .1761 1 0.92 3.19 .1762 1 0.92 3.17 .1763 2 0.92 3.14 .1764 1 0.92 3.27 .1765 1 0.92 3.28 .1766 2 0.92 3.64 .1767 1 0.92 3.49 .1768 1 0.92 3.38 .1769 2 0.92 3.28 .1770 2 0.92 3.37 .1771 1 0.92 3.10 .1772 2 0.92 3.39 .1773 2 0.92 3.29 .1774 3 0.92 3.40 .1775 3 0.92 3.24 .1776 2 0.92 3.30 .1777 1 0.92 3.27 .1778 1 0.92 3.29 .1779 1 0.92 3.05 .1780 1 0.92 3.20 .1781 3 0.92 3.64 .1782 3 0.92 3.03 .1783 3 0.92 3.21 .1784 1 0.92 3.23 .1785 3 0.92 3.38 .1786 2 0.92 3.69 .1787 2 0.92 3.16 .1788 2 0.92 3.05 .1789 1 0.92 3.26 .1790 2 0.92 3.17 .1791 2 0.92 3.19 .1792 2 0.92 3.31 .1793 2 0.92 3.16 .1794 1 0.92 3.12 .1795 1 0.92 3.10 .1796 1 0.92 3.07 .1797 3 0.92 2.97 .1798 2 0.92 3.25 .1799 1 0.92 3.15 .1800 1 0.92 3.18 .1801 2 0.92 3.20 .1802 1 0.92 3.10 .1803 2 0.92 3.18 .1804 2 0.92 3.32 .1805 1 0.92 3.19 .1806 1 0.92 3.12 .1807 2 0.92 3.25 .1808 2 0.92 3.31 .1809 1 0.92 3.26 .1810 2 0.92 3.12 .1811 1 0.92 3.31 .1812 1 0.92 3.46 .1813 1 0.92 3.52 .1814 3 0.92 3.34 .1815 1 0.92 3.17 .1816 1 0.92 3.11 .1817 2 0.92 3.28 .1818 1 0.92 3.22 .1819 1 0.92 3.44 .1820 1 0.92 3.21 .1821 1 0.92 3.21 .1822 1 0.92 3.17 .1823 3 0.92 3.51 .1824 2 0.92 3.70 .1825 1 0.92 3.51 .1826 2 0.92 3.38 .1827 1 0.92 3.18 .1828 1 0.92 3.12 .1829 1 0.92 3.33 .1830 1 0.92 3.31 .1831 1 0.92 3.35 .1832 1 0.92 3.20 .1833 2 0.92 3.26 .1834 1 0.92 3.38 .1835 2 0.92 3.50 .1836 2 0.92 3.61 .1837 2 0.92 3.51 .1838 2 0.92 3.18 .1839 2 0.92 3.53 .1840 2 0.92 3.47 .1841 2 0.92 3.33 .1842 2 0.92 3.67 .1843 2 0.92 3.56 .1844 2 0.92 3.55 .1845 2 0.92 3.26 .1846 1 0.92 3.22 .1847 2 0.92 3.26 .1848 1 0.92 3.30 .1849 2 0.92 3.23 .1850 2 0.92 3.14 .1851 2 0.92 3.37 .1852 3 0.92 3.29 .1853 4 0.92 3.45 .1854 2 0.92 3.46 .1855 2 0.92 2.99 .1856 1 0.92 3.21 .1857 1 0.92 3.09 .1858 2 0.92 2.91 .1859 3 0.92 3.03 .1860 2 0.92 3.26 .1861 2 0.92 3.41 .1862 2 0.92 3.19 .1863 3 0.92 3.13 .1864 2 0.92 3.04 .1865 1 0.92 3.14 .1866 1 0.92 3.37 .1867 1 0.92 3.11 .1868 2 0.92 3.29 .1869 2 0.92 3.40 .1870 1 0.92 3.17 .1871 1 0.92 3.37 .1872 2 0.92 3.23 .1873 1 0.92 3.41 .1874 1 0.92 3.33 .1875 3 0.92 3.57 .1876 1 0.92 3.51 .1877 2 0.92 3.31 .1878 2 0.92 3.56 .1879 3 0.92 3.29 .1880 2 0.92 3.64 .1881 2 0.92 3.34 .1882 1 0.92 3.28 .1883 3 0.92 3.12 .1884 3 0.92 3.31 .1885 1 0.92 3.14 .1886 1 0.92 3.41 .1887 1 0.92 3.52 .1888 2 0.92 3.44 .1889 2 0.92 3.73 .1890 2 0.92 3.36 .1891 2 0.92 3.66 .1892 1 0.92 3.47 .1893 1 0.92 3.44 .1894 1 0.92 3.58 .1895 1 0.92 3.32 .1896 1 0.92 3.42 .1897 1 0.92 3.23 .1898 3 0.92 3.25 .1899 3 0.92 3.05 .1900 2 0.92 3.31 .1901 2 0.92 3.29 .1902 1 0.92 3.24 .1903 2 0.92 3.25 .1904 1 0.92 3.32 .1905 1 0.92 3.37 .1906 1 0.92 3.51 .1907 1 0.92 3.39 .1908 3 0.92 3.62 .1909 1 0.92 3.44 .1910 2 0.92 3.26 .1911 2 0.92 3.44 .1912 1 0.92 3.25 .1913 1 0.92 3.36 .1914 2 0.92 3.45 .1915 2 0.92 3.43 .1916 2 0.92 3.25 .1917 1 0.92 3.27 .1918 1 0.92 3.23 .1919 3 0.92 3.19 .1920 2 0.92 3.18 .1921 2 0.92 3.26 .1922 3 0.92 3.47 .1923 3 0.92 3.22 .1924 2 0.92 3.21 .1925 5 0.92 3.29 .1926 3 0.92 3.28 .1927 2 0.92 3.58 .1928 3 0.92 3.06 .1929 1 0.92 3.13 .1930 1 0.92 2.92 .1931 3 0.92 3.03 .1932 3 0.92 2.87 .1933 1 0.92 2.78 .1934 1 0.92 2.86 .1935 3 0.92 2.90 .1936 2 0.92 2.97 .1937 2 0.92 3.06 .1938 1 0.92 3.16 .1939 1 0.92 3.23 .1940 1 0.92 2.84 .1941 1 0.92 2.96 .1942 3 0.92 2.93 .1943 1 0.92 2.86 .1944 2 0.92 2.94 .1945 2 0.92 2.90 .1946 1 0.92 2.90 .1947 2 0.92 2.94 .1948 1 0.92 2.88 .1949 3 0.92 2.86 .1950 1 0.92 2.93 .1951 2 0.92 3.14 .1952 1 0.92 3.50 .1953 1 0.92 3.12 .1954 2 0.92 3.19 .1955 3 0.92 3.26 .1956 2 0.92 3.25 .1957 1 0.92 3.32 .1958 1 0.92 3.47 .1959 2 0.92 3.52 .1960 3 0.92 3.21 .1961 2 0.92 3.57 .1962 3 0.92 3.43 .1963 2 0.92 3.92 .1964 2 0.92 3.46 .1965 1 0.92 3.45 .1966 1 0.92 3.69 .1967 2 0.92 3.44 .1968 1 0.92 3.26 .1969 1 0.92 3.25 .1970 2 0.92 3.65 .1971 2 0.92 3.77 .1972 1 0.92 3.32 .1973 1 0.92 3.26 .1974 2 0.92 3.58 .1975 2 0.92 3.30 .1976 1 0.92 3.02 .1977 3 0.92 3.13 .1978 3 0.92 3.40 .1979 2 0.92 3.32 .1980 3 0.92 2.98 .1981 2 0.92 3.10 .1982 2 0.92 2.99 .1983 3 0.92 3.26 .1984 2 0.92 3.04 .1985 1 0.92 3.17 .1986 1 0.92 3.01 .1987 2 0.92 3.14 .1988 3 0.92 3.22 .1989 3 0.92 3.05 .1990 1 0.92 3.04 .1991 1 0.92 3.15 .1992 1 0.92 3.17 .1993 1 0.92 3.13 .1994 3 0.92 3.21 .1995 2 0.92 3.27 .1996 3 0.92 3.77 .1997 2 0.92 3.02 .1998 2 0.92 3.14 .1999 2 0.92 3.46 .2000 2 0.92 3.27 .2001 1 0.92 3.16 .2002 2 0.92 3.23 .2003 1 0.92 3.24 .2004 1 0.92 3.19 .2005 1 0.92 3.20 .2006 2 0.92 3.19 .2007 2 0.92 3.53 .2008 4 0.92 3.15 .2009 1 0.92 3.38 .2010 2 0.92 3.46 .2011 3 0.92 3.37 .2012 3 0.92 3.21 .2013 3 0.92 3.43 .2014 1 0.92 3.45 .2015 1 0.92 3.14 .2016 1 0.92 3.35 .2017 2 0.92 3.28 .2018 1 0.92 3.19 .2019 2 0.92 3.19 .2020 2 0.92 3.23 .2021 2 0.92 3.23 .2022 1 0.92 3.14 .2023 1 0.92 3.11 .2024 2 0.92 3.00 .2025 2 0.92 2.91 .2026 1 0.92 3.01 .2027 1 0.92 3.18 .2028 3 0.92 3.19 .2029 1 0.92 3.34 .2030 1 0.92 3.26 .2031 2 0.92 3.15 .2032 2 0.92 3.15 .2033 2 0.92 3.21 .2034 2 0.92 3.32 .2035 4 0.92 3.51 .2036 2 0.92 3.21 .2037 2 0.92 3.28 .2038 2 0.92 3.19 .2039 3 0.92 3.34 .2040 3 0.92 3.10 .2041 2 0.92 3.23 .2042 2 0.92 3.28 .2043 2 0.92 3.27 .2044 1 0.92 3.10 .2045 2 0.92 3.55 .2046 2 0.92 3.28 .2047 1 0.92 3.51 EXTRACT_IMAGE: sdR-r1-00034755.fit: masked 1815 pixels EXTRACT_OBJECT: sdR-r1-00034755.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r1-00034755.fit: WARNING: Scattered light median = 72.4388 electrons QAPLOT_SCATLIGHT: sdR-r1-00034755.fit: WARNING: Scattered light max = 180.128 electrons EXTRACT_OBJECT: sdR-r1-00034755.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 3 0.95 2.21 .0001 3 0.95 1.88 .0002 3 0.95 1.88 .0003 2 0.95 1.81 .0004 2 0.95 1.96 .0005 2 0.95 1.96 .0006 2 0.95 1.82 .0007 2 0.95 1.89 .0008 2 0.95 1.90 .0009 2 0.95 2.07 .0010 2 0.95 2.28 .0011 3 0.95 2.07 .0012 2 0.95 2.22 .0013 2 0.95 2.32 .0014 4 0.95 2.33 .0015 3 0.95 2.41 .0016 3 0.95 2.30 .0017 2 0.95 2.36 .0018 3 0.95 2.43 .0019 5 0.95 2.36 .0020 4 0.95 2.52 .0021 3 0.95 2.52 .0022 3 0.95 2.53 .0023 3 0.95 2.67 .0024 3 0.95 2.85 .0025 4 0.95 2.60 .0026 5 0.95 2.65 .0027 3 0.95 2.77 .0028 2 0.95 2.94 .0029 2 0.95 2.95 .0030 2 0.95 2.74 .0031 2 0.95 2.89 .0032 3 0.95 3.00 .0033 2 0.95 3.02 .0034 3 0.95 3.13 .0035 3 0.95 3.37 .0036 2 0.95 3.21 .0037 2 0.95 3.30 .0038 2 0.95 3.30 .0039 2 0.95 3.44 .0040 2 0.95 3.34 .0041 2 0.95 3.55 .0042 2 0.95 3.32 .0043 2 0.95 3.34 .0044 2 0.95 3.50 .0045 2 0.95 3.36 .0046 2 0.95 3.49 .0047 3 0.95 3.58 .0048 4 0.95 3.45 .0049 2 0.95 3.65 .0050 3 0.95 3.44 .0051 3 0.95 3.54 .0052 3 0.95 3.74 .0053 3 0.95 3.70 .0054 1 0.95 3.80 .0055 2 0.95 3.72 .0056 2 0.95 3.76 .0057 1 0.95 3.69 .0058 3 0.95 3.72 .0059 1 0.95 3.93 .0060 2 0.95 3.75 .0061 3 0.95 3.84 .0062 1 0.95 3.81 .0063 2 0.95 3.80 .0064 1 0.95 3.92 .0065 1 0.95 3.59 .0066 1 0.95 3.76 .0067 1 0.95 3.99 .0068 2 0.95 3.88 .0069 1 0.95 3.89 .0070 2 0.94 3.88 .0071 1 0.94 4.18 .0072 2 0.94 3.79 .0073 3 0.94 3.80 .0074 2 0.94 3.87 .0075 1 0.94 3.90 .0076 1 0.94 3.85 .0077 2 0.94 3.89 .0078 2 0.94 3.77 .0079 1 0.94 3.91 .0080 2 0.94 3.86 .0081 2 0.94 3.83 .0082 1 0.94 4.17 .0083 1 0.94 3.86 .0084 1 0.94 4.07 .0085 2 0.94 4.00 .0086 2 0.94 3.93 .0087 2 0.94 3.86 .0088 1 0.94 4.10 .0089 2 0.94 3.97 .0090 2 0.94 3.86 .0091 2 0.94 4.29 .0092 1 0.94 4.21 .0093 1 0.94 3.85 .0094 1 0.94 3.92 .0095 1 0.94 3.80 .0096 1 0.94 3.93 .0097 1 0.94 3.97 .0098 2 0.94 4.20 .0099 1 0.94 4.11 .0100 2 0.94 4.06 .0101 2 0.94 3.86 .0102 3 0.94 3.95 .0103 3 0.94 3.95 .0104 3 0.94 4.13 .0105 3 0.94 4.08 .0106 1 0.94 4.02 .0107 2 0.94 3.95 .0108 1 0.94 4.01 .0109 2 0.94 3.86 .0110 1 0.94 3.91 .0111 1 0.94 3.98 .0112 1 0.94 4.00 .0113 2 0.94 4.09 .0114 1 0.94 3.88 .0115 2 0.94 3.77 .0116 1 0.94 3.87 .0117 1 0.94 3.98 .0118 1 0.94 3.84 .0119 1 0.94 3.95 .0120 2 0.94 3.70 .0121 2 0.94 3.78 .0122 2 0.94 3.97 .0123 1 0.94 3.95 .0124 2 0.94 3.77 .0125 1 0.94 3.99 .0126 2 0.94 3.85 .0127 2 0.94 3.98 .0128 2 0.94 3.74 .0129 2 0.94 3.65 .0130 3 0.94 3.95 .0131 1 0.94 3.78 .0132 3 0.94 4.06 .0133 2 0.94 3.99 .0134 2 0.94 4.08 .0135 3 0.94 3.79 .0136 2 0.94 3.95 .0137 3 0.94 4.40 .0138 3 0.94 3.90 .0139 2 0.94 3.85 .0140 1 0.94 3.87 .0141 1 0.94 3.87 .0142 1 0.94 3.88 .0143 1 0.94 3.83 .0144 2 0.94 3.90 .0145 2 0.94 3.86 .0146 3 0.94 4.02 .0147 1 0.94 4.16 .0148 1 0.94 3.90 .0149 3 0.94 4.04 .0150 1 0.94 4.15 .0151 1 0.94 4.07 .0152 1 0.94 4.13 .0153 1 0.94 4.02 .0154 1 0.93 3.92 .0155 1 0.93 3.94 .0156 2 0.93 3.93 .0157 3 0.93 4.16 .0158 1 0.93 4.11 .0159 2 0.93 4.12 .0160 2 0.93 4.04 .0161 3 0.93 3.95 .0162 3 0.93 4.18 .0163 2 0.93 4.07 .0164 3 0.93 4.14 .0165 2 0.93 4.22 .0166 1 0.93 4.13 .0167 3 0.93 4.21 .0168 2 0.93 4.09 .0169 2 0.93 4.10 .0170 2 0.93 4.19 .0171 2 0.93 4.30 .0172 2 0.93 4.04 .0173 2 0.93 4.16 .0174 2 0.93 4.44 .0175 2 0.93 4.74 .0176 2 0.93 4.32 .0177 3 0.93 4.39 .0178 1 0.93 4.39 .0179 2 0.93 4.45 .0180 3 0.93 4.47 .0181 4 0.93 4.41 .0182 4 0.93 4.49 .0183 2 0.93 4.61 .0184 2 0.93 4.62 .0185 3 0.93 4.29 .0186 3 0.93 4.54 .0187 2 0.93 4.57 .0188 2 0.93 4.86 .0189 2 0.93 4.83 .0190 3 0.93 5.03 .0191 2 0.93 4.79 .0192 2 0.93 4.60 .0193 2 0.93 4.83 .0194 1 0.93 4.80 .0195 3 0.93 4.86 .0196 1 0.93 5.15 .0197 1 0.93 4.97 .0198 1 0.93 4.91 .0199 3 0.93 5.06 .0200 1 0.93 5.04 .0201 1 0.93 5.09 .0202 2 0.93 5.10 .0203 1 0.93 5.44 .0204 1 0.93 5.08 .0205 2 0.93 4.98 .0206 3 0.93 5.07 .0207 1 0.93 5.27 .0208 2 0.93 5.32 .0209 3 0.93 5.42 .0210 3 0.93 5.41 .0211 1 0.93 5.39 .0212 3 0.93 5.41 .0213 4 0.93 5.60 .0214 1 0.93 5.47 .0215 1 0.93 5.41 .0216 1 0.93 5.40 .0217 3 0.93 5.55 .0218 1 0.93 5.63 .0219 1 0.93 5.65 .0220 1 0.93 5.48 .0221 3 0.93 5.49 .0222 1 0.93 5.92 .0223 3 0.93 5.61 .0224 2 0.93 5.72 .0225 1 0.93 5.95 .0226 1 0.93 5.81 .0227 2 0.93 5.77 .0228 2 0.93 5.82 .0229 3 0.93 5.63 .0230 3 0.93 5.83 .0231 3 0.93 5.67 .0232 2 0.93 5.94 .0233 3 0.93 5.73 .0234 2 0.93 5.88 .0235 2 0.93 5.83 .0236 1 0.93 6.06 .0237 1 0.93 5.71 .0238 2 0.93 5.73 .0239 2 0.93 5.72 .0240 1 0.93 5.82 .0241 1 0.93 5.85 .0242 1 0.93 5.59 .0243 1 0.93 5.89 .0244 1 0.93 5.94 .0245 2 0.93 6.00 .0246 2 0.93 5.71 .0247 1 0.93 5.75 .0248 1 0.93 5.70 .0249 1 0.93 5.50 .0250 3 0.93 5.60 .0251 2 0.93 5.81 .0252 1 0.93 5.65 .0253 2 0.93 5.34 .0254 1 0.93 5.47 .0255 2 0.93 5.50 .0256 2 0.93 5.45 .0257 2 0.93 5.50 .0258 1 0.93 5.36 .0259 2 0.93 5.40 .0260 1 0.93 5.24 .0261 1 0.93 5.19 .0262 1 0.93 5.22 .0263 1 0.93 5.34 .0264 3 0.93 5.42 .0265 3 0.93 5.48 .0266 2 0.93 5.29 .0267 2 0.93 5.49 .0268 1 0.93 5.17 .0269 1 0.93 5.30 .0270 3 0.93 5.24 .0271 2 0.93 5.56 .0272 2 0.93 5.37 .0273 1 0.93 5.23 .0274 1 0.93 5.30 .0275 1 0.93 5.36 .0276 1 0.93 5.13 .0277 1 0.93 5.16 .0278 2 0.93 5.13 .0279 1 0.93 5.30 .0280 1 0.93 5.13 .0281 2 0.93 5.24 .0282 1 0.93 5.25 .0283 1 0.93 5.49 .0284 1 0.93 5.40 .0285 2 0.93 5.34 .0286 1 0.93 5.21 .0287 3 0.93 5.93 .0288 2 0.93 5.45 .0289 3 0.93 5.40 .0290 2 0.93 5.67 .0291 3 0.93 5.43 .0292 2 0.93 5.55 .0293 4 0.92 5.29 .0294 3 0.92 5.72 .0295 2 0.92 5.31 .0296 1 0.92 5.61 .0297 2 0.92 5.16 .0298 1 0.92 5.51 .0299 3 0.92 5.16 .0300 2 0.92 5.36 .0301 3 0.92 5.52 .0302 1 0.92 5.45 .0303 3 0.92 5.47 .0304 2 0.92 5.57 .0305 1 0.92 5.58 .0306 1 0.92 5.29 .0307 1 0.92 5.38 .0308 2 0.92 5.27 .0309 2 0.92 5.46 .0310 2 0.92 5.40 .0311 2 0.92 5.23 .0312 3 0.92 5.29 .0313 1 0.92 5.39 .0314 1 0.92 5.34 .0315 1 0.92 5.53 .0316 3 0.92 5.58 .0317 3 0.92 5.64 .0318 1 0.92 5.54 .0319 1 0.92 5.36 .0320 2 0.92 5.81 .0321 1 0.92 5.61 .0322 2 0.92 5.52 .0323 2 0.92 5.62 .0324 2 0.92 5.99 .0325 1 0.92 5.50 .0326 2 0.92 5.61 .0327 1 0.92 5.46 .0328 1 0.92 5.72 .0329 1 0.92 5.69 .0330 1 0.92 5.48 .0331 2 0.92 5.59 .0332 2 0.92 5.79 .0333 2 0.92 5.84 .0334 2 0.92 5.71 .0335 1 0.92 5.99 .0336 3 0.92 5.91 .0337 2 0.92 5.94 .0338 2 0.92 5.73 .0339 1 0.92 5.84 .0340 2 0.92 5.84 .0341 1 0.92 5.80 .0342 1 0.92 6.16 .0343 1 0.92 5.96 .0344 1 0.92 6.06 .0345 2 0.92 5.77 .0346 1 0.92 5.73 .0347 2 0.92 5.79 .0348 1 0.92 5.86 .0349 1 0.92 6.01 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0.92 3.51 .1849 2 0.92 3.40 .1850 2 0.92 3.36 .1851 2 0.92 3.59 .1852 2 0.92 3.46 .1853 3 0.92 3.66 .1854 2 0.92 3.67 .1855 2 0.92 3.27 .1856 1 0.92 3.38 .1857 1 0.92 3.28 .1858 2 0.92 3.16 .1859 3 0.92 3.36 .1860 2 0.92 3.53 .1861 3 0.92 3.65 .1862 4 0.92 3.32 .1863 3 0.92 3.46 .1864 2 0.92 3.35 .1865 1 0.92 3.52 .1866 1 0.92 3.51 .1867 1 0.92 3.38 .1868 2 0.92 3.62 .1869 2 0.92 3.49 .1870 1 0.92 3.45 .1871 1 0.92 3.65 .1872 2 0.92 3.66 .1873 1 0.92 3.67 .1874 1 0.92 3.75 .1875 3 0.92 3.94 .1876 1 0.92 3.67 .1877 2 0.92 3.59 .1878 3 0.92 3.67 .1879 3 0.92 3.59 .1880 3 0.92 3.72 .1881 2 0.92 3.61 .1882 1 0.92 3.45 .1883 3 0.92 3.42 .1884 3 0.92 3.70 .1885 1 0.92 3.36 .1886 1 0.92 3.58 .1887 1 0.92 3.85 .1888 3 0.92 3.58 .1889 3 0.92 3.89 .1890 2 0.92 3.76 .1891 3 0.92 3.67 .1892 1 0.92 3.70 .1893 1 0.92 3.82 .1894 1 0.92 3.99 .1895 1 0.92 3.56 .1896 1 0.92 3.71 .1897 1 0.92 3.49 .1898 3 0.92 3.53 .1899 3 0.92 3.34 .1900 2 0.92 3.57 .1901 2 0.92 3.59 .1902 1 0.92 3.50 .1903 2 0.92 3.50 .1904 1 0.92 3.58 .1905 2 0.92 3.51 .1906 2 0.92 3.64 .1907 1 0.92 3.64 .1908 3 0.92 3.66 .1909 1 0.92 3.74 .1910 2 0.92 3.57 .1911 2 0.92 3.63 .1912 1 0.92 3.56 .1913 1 0.92 3.64 .1914 2 0.92 3.71 .1915 2 0.92 3.78 .1916 2 0.92 3.49 .1917 1 0.92 3.41 .1918 1 0.92 3.54 .1919 3 0.92 3.47 .1920 3 0.92 3.29 .1921 2 0.92 3.48 .1922 3 0.92 3.52 .1923 3 0.92 3.49 .1924 2 0.92 3.50 .1925 3 0.92 3.45 .1926 3 0.92 3.39 .1927 2 0.92 3.66 .1928 3 0.92 3.31 .1929 1 0.92 3.38 .1930 1 0.92 3.25 .1931 3 0.92 3.20 .1932 3 0.92 3.19 .1933 1 0.92 3.25 .1934 1 0.92 3.15 .1935 3 0.92 3.28 .1936 2 0.92 3.31 .1937 2 0.92 3.39 .1938 1 0.92 3.46 .1939 2 0.92 3.42 .1940 1 0.92 3.11 .1941 1 0.92 3.08 .1942 3 0.92 3.26 .1943 1 0.92 3.19 .1944 2 0.92 3.30 .1945 2 0.92 3.19 .1946 1 0.92 3.22 .1947 2 0.92 3.37 .1948 1 0.92 3.29 .1949 3 0.92 3.29 .1950 1 0.92 3.35 .1951 2 0.92 3.45 .1952 2 0.92 3.64 .1953 1 0.92 3.40 .1954 2 0.92 3.51 .1955 4 0.92 3.58 .1956 2 0.92 3.41 .1957 1 0.92 3.61 .1958 1 0.92 3.69 .1959 2 0.92 3.76 .1960 3 0.92 3.55 .1961 3 0.92 3.61 .1962 3 0.92 3.61 .1963 3 0.92 3.71 .1964 2 0.92 3.61 .1965 1 0.92 3.73 .1966 3 0.92 3.60 .1967 2 0.92 3.59 .1968 1 0.92 3.45 .1969 1 0.92 3.55 .1970 3 0.92 3.47 .1971 2 0.92 3.71 .1972 1 0.92 3.60 .1973 1 0.92 3.60 .1974 2 0.92 3.52 .1975 4 0.92 3.44 .1976 1 0.92 3.40 .1977 3 0.92 3.41 .1978 4 0.92 3.44 .1979 2 0.92 3.62 .1980 3 0.92 3.28 .1981 2 0.92 3.33 .1982 2 0.92 3.31 .1983 3 0.92 3.58 .1984 2 0.92 3.31 .1985 1 0.92 3.40 .1986 1 0.92 3.28 .1987 2 0.92 3.36 .1988 3 0.92 3.44 .1989 3 0.92 3.32 .1990 1 0.92 3.32 .1991 1 0.92 3.33 .1992 1 0.92 3.35 .1993 2 0.92 3.27 .1994 3 0.92 3.50 .1995 2 0.92 3.51 .1996 3 0.92 3.63 .1997 2 0.92 3.27 .1998 2 0.92 3.25 .1999 3 0.92 3.44 .2000 2 0.92 3.56 .2001 1 0.92 3.46 .2002 2 0.92 3.44 .2003 1 0.92 3.44 .2004 1 0.92 3.38 .2005 1 0.92 3.40 .2006 2 0.92 3.49 .2007 3 0.92 3.54 .2008 4 0.92 3.44 .2009 1 0.92 3.57 .2010 4 0.92 3.50 .2011 3 0.92 3.61 .2012 2 0.92 3.46 .2013 3 0.92 3.69 .2014 1 0.92 3.74 .2015 1 0.92 3.43 .2016 2 0.92 3.45 .2017 3 0.92 3.43 .2018 1 0.92 3.47 .2019 2 0.92 3.47 .2020 2 0.92 3.41 .2021 2 0.92 3.48 .2022 1 0.92 3.37 .2023 1 0.92 3.31 .2024 2 0.92 3.25 .2025 2 0.92 3.09 .2026 1 0.92 3.26 .2027 1 0.92 3.37 .2028 3 0.92 3.41 .2029 1 0.92 3.41 .2030 1 0.92 3.38 .2031 2 0.92 3.33 .2032 2 0.92 3.34 .2033 2 0.92 3.39 .2034 2 0.92 3.54 .2035 3 0.92 3.44 .2036 2 0.92 3.45 .2037 2 0.92 3.56 .2038 2 0.92 3.46 .2039 4 0.92 3.42 .2040 3 0.92 3.34 .2041 2 0.92 3.51 .2042 2 0.92 3.45 .2043 2 0.92 3.54 .2044 1 0.92 3.37 .2045 3 0.92 3.59 .2046 3 0.92 3.38 .2047 2 0.92 3.49 EXTRACT_IMAGE: sdR-r1-00034755.fit: masked 2324 pixels DIVIDEFLAT: sdR-r1-00034755.fit: Warning: Reject 243 low points in trace 45 DIVIDEFLAT: sdR-r1-00034755.fit: No good flat field points in trace 90 DIVIDEFLAT: sdR-r1-00034755.fit: Warning: Reject 2048 low points in trace 90 DIVIDEFLAT: sdR-r1-00034755.fit: Warning: Reject 529 low points in trace 173 DIVIDEFLAT: sdR-r1-00034755.fit: Warning: Reject 668 low points in trace 174 DIVIDEFLAT: sdR-r1-00034755.fit: Warning: Reject 1051 low points in trace 249 DIVIDEFLAT: sdR-r1-00034755.fit: No good flat field points in trace 251 DIVIDEFLAT: sdR-r1-00034755.fit: Warning: Reject 2048 low points in trace 251 DIVIDEFLAT: sdR-r1-00034755.fit: No good flat field points in trace 294 DIVIDEFLAT: sdR-r1-00034755.fit: Warning: Reject 2048 low points in trace 294 LOCATESKYLINES_2: sdR-r1-00034755.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 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0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034755.fit: WARNING: sky shift reference line, sigma 7794.1200 0.062007739 LOCATESKYLINES_2: sdR-r1-00034755.fit: sky shift reference line, offset: 7794.1200 -0.00040670659 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 8 7.9722157 165.15937 0.074094596 0.94698800 1660.5359 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 17 12.586776 -23.719709 0.069925265 0.97134948 1703.3707 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 28 8.5676095 -51.421837 0.10651335 0.95272827 1780.7316 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 32 2.8628101 -59.399704 0.11753747 0.98695760 1707.4587 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 43 10.680711 103.48018 0.073154348 0.96791050 1740.0355 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 44 13.693992 97.013599 0.054901053 0.96712351 1765.2913 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 70 12.027745 199.74506 0.066902049 0.95957283 1698.1629 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 78 8.9342967 238.06554 0.091752519 0.91207391 1755.7124 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 89 10.467574 256.63982 0.065886945 0.93581937 1747.6548 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 95 10.224158 242.78008 0.11888596 0.97364333 1743.2150 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 101 12.955806 268.65266 0.076581859 0.96895375 1749.9039 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 123 9.6594744 212.88672 0.046279831 1.0293597 1710.7924 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 124 8.2390194 296.58096 0.13900579 0.86145049 1919.2167 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 126 9.1615546 331.91831 0.10607814 0.97309581 1766.5263 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 134 9.0633565 320.73377 0.028733193 0.96378150 1681.1980 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 156 11.204462 358.04252 0.072142741 0.92716069 1700.0386 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 203 15.324287 223.33727 0.019466604 0.98581609 1658.1354 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 216 11.443339 258.86364 0.0083655003 0.97101446 1773.0326 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 218 10.111638 240.86563 0.018187848 0.95570997 1784.1582 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 245 5.8151617 266.17003 0.058395373 0.92628958 1838.1566 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 255 3.6273950 197.49016 0.027398724 0.92681946 1854.4537 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 262 7.9883178 159.12383 -0.0021436485 1.0238356 1694.5951 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 267 1.8357447 51.232308 0.067102248 0.99380875 1641.7111 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 273 8.6392026 94.885109 0.097823980 0.92967158 1723.4601 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 283 10.787837 156.19596 0.026800233 0.93789636 1719.9833 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 289 6.6140174 173.10416 0.016531888 0.96111991 1768.5320 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 311 4.7913319 141.38759 0.047030069 0.97004066 1665.6931 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 314 6.7856084 258.04232 0.084303283 0.95384531 1746.5127 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 0 317 11.253604 201.01064 0.0041316977 0.98758905 1739.2785 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 0 5.7291049 0.00030204885 0.062963907 0.95642890 0.99834592 LOCATESKYLINES_2: sdR-r1-00034755.fit: sigma-clipped to 234 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034755.fit: comb2 l,chi^2/dof,fit: 0 3.3421658 -0.013583846 0.067894038 0.97162799 1.0030840 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 234 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.0674870.0678940.005015 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 8 3.9101604 103.72101 0.20612235 0.97607469 539.59311 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 17 2.8843805 -72.056660 -0.0033469345 1.0007606 525.21618 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 28 2.3254513 -56.178572 0.19044263 0.91443815 582.08123 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 32 2.0635247 -54.670445 0.14637966 0.89760880 596.39257 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 43 1.3160001 39.674773 0.14091820 0.98450198 592.81406 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 44 4.9161750 30.744217 0.16830049 0.99835843 587.39638 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 70 0.45520928 157.51000 0.12913489 0.93603501 620.41868 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 78 2.7045212 167.95026 0.0042688159 0.90451509 616.32177 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 89 1.6503616 190.22924 0.041796521 0.97469392 593.49134 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 95 2.8844626 217.52167 0.11485999 0.94467532 532.62963 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 101 2.2321268 218.72204 0.077265728 1.0411128 541.86059 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 123 3.1350433 222.15314 0.10707416 0.96441896 640.12839 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 124 6.3945438 271.87672 0.12141399 0.83950436 554.31416 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 126 3.8695549 295.73927 0.15060328 0.92629455 537.10988 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 134 7.3786321 254.01101 0.075574874 0.92844613 616.53367 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 156 4.0441914 310.52783 0.12686189 0.90669253 571.44069 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 203 2.6765199 167.54064 0.051689336 0.98331758 607.51687 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 216 1.8598706 220.56445 -0.068295842 0.99625932 572.15231 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 218 3.2346520 209.48655 0.026218103 0.93393972 614.81203 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 245 0.97684164 237.68332 0.090418696 0.81214047 619.28599 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 255 5.0960826 184.09797 0.052192895 0.92282640 572.29829 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 262 4.4597251 138.99816 -0.065084394 1.0689459 493.99733 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 267 2.5776831 62.008080 0.12141274 0.93980974 566.88500 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 273 2.2781794 15.479651 -0.027284145 0.95628015 614.97364 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 283 3.6517014 32.124120 0.10226528 1.0567722 619.81322 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 289 2.4719748 74.871308 0.093993770 1.0257565 605.74878 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 311 0.78215093 115.82009 0.028889864 0.84481555 630.31793 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 314 5.7356791 221.53675 0.096337183 0.82145461 631.85161 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 1 317 5.6720061 204.93523 -0.033972914 0.94829789 596.65533 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 1 2.1748307 0.0010356471 0.078078536 0.94334116 0.99412386 LOCATESKYLINES_2: sdR-r1-00034755.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034755.fit: comb2 l,chi^2/dof,fit: 1 2.0922994 -0.00076754588 0.077969386 0.94553840 0.99552100 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.0775630.0779690.011518 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 8 1.8936511 -32.641556 0.084260359 1.0345531 178.70223 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 17 2.3742182 -182.91650 0.046709743 0.81768435 200.89920 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 28 -0.25000000 -225.50224 0.0000000 1.0000000 -3.0475185 LOCATESKYLINES_2: sdR-r1-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 32 -0.25000000 -249.14307 0.0000000 1.0000000 -6.5623989 LOCATESKYLINES_2: sdR-r1-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 43 1.2961646 -21.233573 0.024626819 1.1097146 167.16151 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 44 1.6107744 -83.787684 -0.12446933 1.4151271 218.71195 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 70 1.3427011 124.98000 -0.055272609 0.80233501 207.76137 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 78 0.48418108 104.50652 -0.29502127 1.1192311 178.90451 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 89 5.2545959 79.886536 -0.84992721 2.0000000 184.87227 LOCATESKYLINES_2: sdR-r1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 95 2.0728340 95.435612 0.11178421 1.0007308 229.68587 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 101 1.3001277 214.15484 0.14229955 0.86277407 141.25848 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 123 1.4813015 185.21810 -0.22149507 0.80151949 176.95177 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 124 2.7913566 167.86682 -0.094991320 0.84536524 205.40834 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 126 1.6014170 186.60363 -0.15678707 0.93821991 228.35130 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 134 1.2602856 172.58490 0.015348891 1.0037520 227.09326 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 156 1.1969066 233.24050 -0.098500777 1.0627950 190.58300 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 203 0.80774957 144.79765 0.023399981 0.82111715 152.27586 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 216 1.0186185 154.28301 -0.12079974 1.0096899 218.80585 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 218 0.73742926 151.86533 -0.23573523 1.0080766 166.32075 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 245 1.5501426 143.48443 -0.034928653 1.0665906 159.57987 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 255 1.8426686 124.82960 0.029860114 0.97733228 182.91924 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 262 2.4920908 97.470170 0.20468405 0.95512958 208.53278 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 267 0.50410258 -26.124541 -0.13090979 0.94426361 184.49007 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 273 2.8053399 -5.0110788 -0.029718288 0.60000000 194.19260 LOCATESKYLINES_2: sdR-r1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 283 2.7633813 -9.6163579 -0.76553491 1.6816369 205.00782 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 289 3.1770069 15.309704 -1.0000000 1.7890921 197.68878 LOCATESKYLINES_2: sdR-r1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 311 2.0741851 82.647838 -0.059424720 0.95031951 190.60829 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 314 2.5981018 162.67570 0.059161927 0.81029319 160.50782 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 2 317 4.3112935 122.03194 -1.0000000 2.0000000 191.48896 LOCATESKYLINES_2: sdR-r1-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 2 0.93451578 0.010127220 -0.059319034 0.98979673 0.97544460 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 207 of 207 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: -0.059726-0.0593190.035878 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 8 3.7587397 -64.574618 -0.00097760554 0.95655890 345.85295 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 17 1.5213417 -204.95299 0.092386161 1.0411361 309.00784 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 28 0.66332158 -146.85229 0.21606238 0.99509159 358.92325 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 32 2.7923839 -190.33252 -0.091279521 1.1427233 323.99215 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 43 0.96767487 -41.319839 0.23169089 1.0371009 320.39368 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 44 1.1548466 -51.425850 0.30459019 1.0732843 278.48676 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 70 0.65643805 133.10052 0.074016468 0.98827549 396.11765 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 78 1.5148827 99.058453 0.18670591 0.98634565 329.74381 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 89 0.65555845 113.82501 0.11537928 1.0118154 364.88077 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 95 1.6797824 113.19063 0.16954350 0.91228543 354.16102 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 101 3.7383203 185.55567 0.20535465 1.0121020 325.44053 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 123 1.2628207 172.81205 0.13158497 0.92616735 353.67759 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 124 0.48339457 131.65840 0.21445943 0.99963247 458.54708 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 126 0.88375574 168.43963 0.0064449585 1.1868067 328.70048 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 134 0.49061558 188.28346 0.027606929 0.83379526 270.02155 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 156 0.45610515 234.14512 0.15461888 1.0674177 355.69325 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 203 0.62216731 137.09240 0.023226010 0.97102936 362.18777 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 216 2.5851737 158.09940 0.093890726 0.98241538 391.15299 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 218 1.0827910 128.37294 0.14660071 1.0556489 376.31861 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 245 0.25601047 163.08785 0.068511744 0.79893312 310.61248 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 255 0.86636599 109.66993 -0.075810273 1.2020241 341.14569 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 262 1.3080121 133.00622 0.093612354 0.94874981 333.85472 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 267 1.9592120 4.5941167 0.022166532 1.0344448 274.57742 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 273 1.7615415 -12.000989 0.11826831 0.86426230 322.20534 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 283 1.3414186 55.231241 -0.091153374 1.0060457 308.12625 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 289 0.64524945 30.288535 0.059071045 1.0465502 359.39123 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 311 2.4484517 119.58141 -0.16861005 1.0115017 360.33810 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 314 0.85160337 194.39629 0.083035919 0.88797101 375.74759 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 3 317 0.67092585 148.45012 0.083722595 1.1582236 317.82864 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 3 0.98801795 0.0029446700 0.095781713 1.0032273 0.99068647 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.0953750.0957820.020023 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 8 1.3550097 -115.25904 0.26778390 1.1591549 416.00370 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 17 0.22272667 -210.05898 0.14455591 0.96638048 414.23568 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 28 0.51428672 -123.96734 -0.014563551 0.87224425 394.73644 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 32 3.7852029 -137.67319 0.37996341 0.82623065 390.04626 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 43 1.0904023 -30.738689 0.24946437 1.0020021 434.98494 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 44 5.0874510 -18.614518 0.25542403 0.95253174 354.07719 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 70 1.0307373 148.30030 0.18903601 0.83711000 380.23902 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 78 1.8783439 95.200254 0.18355661 0.97491761 417.95523 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 89 2.3419395 116.71605 0.30531197 1.0371140 405.69930 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 95 1.6296727 124.58016 0.18252994 0.96213568 393.35709 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 101 1.0164317 181.42205 0.18740049 0.83271173 465.41266 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 123 0.26043227 147.33059 0.21478835 1.0506682 412.55956 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 124 0.47723027 166.57716 0.057510528 0.88355482 400.71460 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 126 2.0226068 155.61861 0.16292383 1.0698960 458.29027 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 134 0.50020793 171.51040 0.14434378 0.99289350 434.70907 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 156 1.7728146 285.98073 0.14733540 0.81541849 429.57983 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 203 1.8252163 154.58748 0.085007033 0.95077693 411.59962 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 216 0.059501676 191.18422 0.13535365 1.1387368 414.69896 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 218 0.73079450 180.49692 0.051325114 0.99479531 369.38781 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 245 1.1685300 185.30364 -0.019194038 0.97334170 351.22569 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 255 1.4669542 136.38375 0.058547430 0.85414984 448.04259 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 262 1.5429450 144.35605 0.039514431 0.91666680 360.20058 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 267 1.9166312 -13.633940 0.13539171 0.99358493 420.22332 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 273 0.69102024 -27.196122 -0.028682590 1.1079869 355.72815 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 283 2.5682380 27.265618 0.10806411 1.0114740 482.12649 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 289 2.1295391 43.648110 0.042400625 0.96312232 408.15227 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 311 4.1556033 150.09518 0.053311361 0.78446648 404.82626 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 314 1.1655530 200.13523 0.040419860 1.1144222 361.31779 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 4 317 1.8967835 174.71361 0.10586544 0.94865891 413.54952 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 4 1.2513361 0.0030931916 0.13265474 0.95214080 0.98979351 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.1322480.1326550.016895 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 8 2.6457496 -81.221394 0.14409419 1.1343909 434.52524 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 17 1.7813270 -177.32652 0.018255384 1.1384489 520.15682 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 28 1.0145585 -96.183710 0.10720564 1.0981459 480.40568 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 32 0.56010379 -191.04829 0.071533075 1.3064416 487.17347 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 43 0.60156084 -33.904567 0.15915551 1.1504925 457.86107 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 44 1.0579505 13.000772 0.17905736 1.0217639 520.04077 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 70 1.1760724 127.03539 0.079650386 0.91558817 538.91001 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 78 0.47745720 106.67232 0.11414217 1.3689921 390.52811 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 89 0.83088833 181.10627 0.18860605 0.92129993 452.47337 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 95 1.8913142 99.297516 0.21494561 0.93465766 495.65323 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 101 1.0051238 182.84449 0.087072557 1.1792744 420.79478 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 123 1.0883718 195.53310 -0.055252182 1.0912112 450.36401 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 124 0.62913744 130.94339 0.29400379 1.2402044 482.84158 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 126 1.1094385 170.05379 0.23544547 1.2792653 507.98308 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 134 3.2639408 206.27640 0.090971816 0.97662207 467.21178 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 156 1.9467616 274.72719 0.061292201 0.93421617 477.91295 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 203 0.87479769 185.49727 0.040289991 1.0916900 428.73815 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 216 1.2177213 196.32290 0.12957797 0.89516840 475.05071 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 218 1.0918724 148.81764 0.12869165 1.1049217 523.71057 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 245 1.8858074 160.16707 0.11543032 0.98993596 469.14811 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 255 0.72863448 133.52408 0.23535611 0.82875208 500.33185 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 262 4.0164894 55.218513 0.064697111 1.0453082 553.12797 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 267 0.30608367 -34.159069 -0.026387939 1.3257274 406.67642 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 273 2.2960601 7.1180707 0.085006804 0.84493468 466.66127 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 283 0.64534164 49.154633 0.36800751 0.95001743 464.76351 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 289 1.3658141 19.393085 0.13921380 1.1046549 487.71338 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 311 1.0408107 89.516087 0.070414207 0.95544422 538.36476 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 314 0.91746662 184.97725 0.27264171 0.93941686 431.43355 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 5 317 0.53167515 165.08079 0.15773265 0.96765077 432.03402 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 5 1.2901931 0.0050063444 0.12530364 1.0438041 0.98619155 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.1248970.1253040.016645 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 8 3.7774869 -154.15820 -0.073980765 1.0344863 983.42333 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 17 0.21667481 -213.49786 0.031227619 1.0326923 978.42826 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 28 1.2637199 -164.82964 0.10218856 0.93511364 866.06507 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 32 2.0002716 -186.84160 0.081492388 0.89361738 938.23796 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 43 3.1376930 -39.727746 0.069543822 0.92699668 964.95072 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 44 2.3646637 -89.512095 0.0027356124 1.1395377 952.11923 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 70 1.4179318 56.397079 0.016669827 0.96742787 1037.5698 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 78 0.50844160 70.715382 0.017655005 0.99006651 1041.0559 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 89 3.0492904 132.18364 0.045595060 0.99737820 971.36372 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 95 0.81754279 57.802148 0.10236270 0.96071224 1026.0663 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 101 0.88651487 138.07346 0.051177297 1.0043367 1017.9540 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 123 1.8026861 187.24162 -0.0067505977 0.95438209 965.67043 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 124 3.1910476 164.22589 0.10944827 0.99203794 1057.9792 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 126 2.4504928 193.33250 0.051672998 0.97437589 979.75953 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 134 2.8001096 127.63218 -0.0014555059 0.98965334 1048.7508 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 156 2.4324823 225.08948 -0.026474095 0.95747886 958.19415 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 203 2.1202200 94.542520 0.075169152 0.97508453 1051.9269 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 216 1.7206559 116.60850 -0.016203597 0.98074028 1010.4928 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 218 0.84924085 66.144353 0.063889193 1.0108667 1097.8308 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 245 2.6839793 85.053729 0.073281447 0.96457224 1063.1345 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 255 1.3087142 90.018823 -0.046234549 0.93340190 1015.7274 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 262 1.8004895 25.277558 -0.11871952 1.0835630 821.24224 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 267 1.4986915 -104.00310 0.051219358 1.0611974 981.99755 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 273 1.9695951 -59.560516 0.012396274 0.88062096 1017.7162 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 283 0.31747080 -19.774333 -0.011233892 0.93374442 1086.5334 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 289 4.1952789 -38.145839 0.044500434 1.0566628 1045.6782 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 311 1.9052907 49.332698 0.040908065 1.0317526 969.34403 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 314 2.7273097 104.49673 0.019171614 0.93659509 1027.2887 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 6 317 1.4808222 107.72798 0.010082750 0.98790638 951.31801 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 6 1.4359369 0.00062136532 0.027613273 0.98307936 0.99722127 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 261 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.0272070.0276130.008714 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 8 1.0213807 -135.43733 0.15953363 0.98442527 1137.5434 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 17 4.3846432 -192.72219 0.10486393 0.95287686 1106.5574 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 28 0.95963059 -233.16571 0.11372870 1.0296187 1244.1451 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 32 20.152989 -245.57288 -0.10764494 1.2584194 1185.0767 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 43 1.0820076 -37.540389 0.061544699 0.94339229 1140.0142 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 44 0.94785596 -49.479488 0.10464600 0.95480807 1248.4764 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 70 0.84094911 86.061404 0.063922811 0.89387749 1332.4588 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 78 1.2131003 102.85765 0.11396173 0.97190607 1237.6537 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 89 3.8323383 132.96680 0.082130240 0.93756921 1275.5053 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 95 0.80772993 77.671774 0.075875820 0.94504247 1216.6357 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 101 0.61755386 127.08972 0.11933653 0.93999437 1296.6945 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 123 4.1043128 160.26322 0.091992130 0.89010543 1332.9474 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 124 2.2712875 115.59556 0.11559132 0.90227818 1367.4474 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 126 0.66401878 179.00871 0.046579676 0.90266990 1327.9222 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 134 1.0095276 87.055290 0.083085511 0.98035325 1347.6889 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 156 1.4235092 219.35552 0.068815038 0.90279516 1266.0035 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 203 5.1856115 60.624703 0.057559357 0.95834841 1327.3123 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 216 2.7816610 107.78380 0.018909430 0.93338968 1342.1475 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 218 2.9778202 110.71058 -0.019048768 1.0186820 1213.3754 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 245 3.1512546 88.570005 0.011784780 0.96850864 1299.6549 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 255 1.5403104 22.061267 0.080976813 0.93107840 1333.8199 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 262 1.9824272 28.916592 0.054203368 0.90659686 1240.9017 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 267 1.8170020 -149.36635 0.12602265 1.0166616 1303.5148 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 273 0.82545672 -122.81350 0.13837085 0.86245742 1238.1909 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 283 0.96923213 -12.230087 0.11176998 0.87954972 1209.0258 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 289 1.1510703 -14.529436 0.065256377 0.91244894 1329.1430 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 311 5.8382474 50.126040 0.089330854 0.94304329 1215.5502 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 314 1.2494350 85.493076 0.10714167 0.91486305 1262.2141 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 7 317 0.73239415 104.11834 0.076539860 0.97372154 1251.3297 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 7 2.0534247 0.0013078740 0.079288434 0.94103235 0.99865939 LOCATESKYLINES_2: sdR-r1-00034755.fit: sigma-clipped to 259 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034755.fit: comb2 l,chi^2/dof,fit: 7 1.4468852 0.00039626086 0.084225448 0.93852730 0.99898817 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 259 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.0838190.0842250.007041 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 8 0.57529519 -211.66735 0.15620162 1.0065009 1383.0093 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 17 3.6153143 -190.99893 0.10686991 0.90832744 1556.1265 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 28 1.5721414 -245.91669 0.13423712 1.0002333 1448.9080 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 32 0.85229913 -229.22708 0.078354642 0.90879766 1528.2212 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 43 3.1566124 -111.16991 0.11889436 0.98742251 1334.4698 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 44 1.3206940 -50.015204 0.11727447 0.89827166 1502.6707 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 70 1.6116422 -3.7407053 0.11311277 0.92400773 1550.2639 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 78 107.56440 100.62943 0.12920953 0.91031436 1401.7155 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 89 1.3819603 8.6782755 0.11156292 0.96038229 1527.3933 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 95 4.2277155 -9.2002430 0.12970852 0.92750964 1553.0474 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 101 3.3602246 38.746294 0.11415174 0.94496538 1584.2041 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 123 1.0278970 37.744672 0.12425639 0.98035744 1571.4382 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 124 1.8654291 62.220465 0.15842319 0.92404248 1584.7164 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 126 2.1827443 41.221563 0.14203116 0.93716616 1589.2442 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 134 2.5551042 52.039476 0.13083510 0.96454587 1530.4590 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 156 2.3753337 137.03736 0.090312008 0.90977725 1468.5661 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 203 1.1473478 9.0524230 0.054508131 0.93905325 1502.7973 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 216 3.6205648 -45.525469 0.087167521 0.95302572 1614.7169 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 218 1.3400342 4.3190675 0.080193010 0.91081985 1523.3234 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 245 1.3839164 36.881060 0.13404554 0.96461579 1481.1526 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 255 2.4339875 -17.930925 0.033050391 0.91728333 1543.8850 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 262 1.2104302 -119.38574 0.055754580 0.99690274 1473.8701 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 267 0.78831435 -179.80298 0.14738834 0.91042060 1510.5963 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 273 4.9998314 -265.76680 0.036435287 0.97623558 1590.4250 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 283 2.4412087 -99.162968 0.12680630 0.90301133 1564.4367 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 289 1.0465707 -122.41381 0.10809930 0.92718344 1440.6677 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 311 0.93699846 -171.43247 0.10364731 0.97932062 1528.5183 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 314 1.6574693 -64.148220 0.16546571 0.96831977 1455.3346 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 8 317 0.61066690 -26.616712 0.15295107 0.96795044 1505.5673 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 8 3.4849095 0.00024295435 0.11096938 0.94292124 0.99877180 LOCATESKYLINES_2: sdR-r1-00034755.fit: sigma-clipped to 259 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034755.fit: comb2 l,chi^2/dof,fit: 8 1.4381031 -0.00050045673 0.11042464 0.94318856 0.99967982 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 259 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.1100180.1104250.005965 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 8 7.3927816 -184.54105 0.13734106 0.97241760 1598.7134 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 17 2.5691889 -178.52807 0.10846650 0.97577496 1730.8903 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 28 0.62983520 -223.29350 0.090999614 0.94384087 1737.7925 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 32 2.1649178 -219.45531 0.10160726 0.96832958 1706.2325 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 43 2.0902881 -133.66146 0.046815473 0.97265562 1626.4073 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 44 3.2373530 -77.593644 0.16000170 0.98544357 1673.5480 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 70 0.91879405 11.544314 0.060239005 0.94310371 1730.2007 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 78 2.3137689 31.181190 0.090094139 0.92345966 1607.7176 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 89 1.5391602 7.2065388 0.084391887 0.97328463 1666.8277 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 95 2.1631158 -9.6939207 0.059474363 0.94592611 1792.3218 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 101 0.93399255 58.623954 0.12114084 0.92697869 1764.2886 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 123 0.84642660 69.263491 0.11132190 0.94696587 1686.4477 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 124 2.2354272 62.331660 0.13737838 0.89551561 1819.2578 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 126 1.0112772 68.043145 0.095462208 0.93337975 1787.7027 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 134 1.0702862 11.451582 0.043918470 0.97901407 1758.2793 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 156 2.2488655 121.98585 0.082380886 0.91525938 1728.0431 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 203 0.49753193 6.1888594 0.18330614 0.93823452 1660.8269 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 216 2.3197259 8.6718509 0.12385527 0.96205060 1688.2623 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 218 1.4590347 -2.5151502 0.12519721 0.93239797 1743.1278 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 245 2.5508138 -6.1417480 0.075136674 0.98391363 1671.4407 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 255 0.81027693 -33.037867 0.10873462 0.96733630 1783.9511 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 262 0.55301532 -74.058782 0.17059783 0.90677508 1658.7944 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 267 1.9572842 -200.26982 0.12666765 0.96307273 1673.5495 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 273 1.1258589 -189.10822 0.093690584 0.95413021 1573.1889 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 283 2.1131379 -99.619088 0.039559865 0.91110394 1724.1530 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 289 1.0705233 -91.643366 0.11589538 0.92451778 1727.7579 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 311 2.3942339 -108.80002 0.087351944 0.94483363 1733.0355 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 314 3.8866122 -56.348591 0.10372118 0.92666107 1720.6347 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 9 317 1.0900962 14.032245 0.083308332 0.93427655 1841.1062 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 9 1.3687107 -1.1364618e-05 0.10088905 0.94480081 0.99885191 LOCATESKYLINES_2: sdR-r1-00034755.fit: sigma-clipped to 259 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034755.fit: comb2 l,chi^2/dof,fit: 9 1.1963686 -0.00062993411 0.098445613 0.94506402 0.99800409 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 259 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.0980390.0984460.005458 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 8 0.33750195 -251.23443 0.19467112 0.96485917 1424.9854 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 17 3.4672043 -215.76479 0.12652893 1.0547993 1496.5738 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 28 1.5206147 -212.06379 0.10256898 0.99978532 1495.4113 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 32 0.32080938 -253.86761 0.14566715 0.97547227 1572.4113 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 43 0.83109396 -160.84977 0.15400179 1.0147209 1517.8802 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 44 0.78972950 -138.78939 0.15586154 0.95002325 1548.0565 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 70 1.7441438 -18.514188 0.24404420 1.0912247 1593.0944 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 78 2.1063686 -47.426930 0.033812988 0.95203980 1564.6739 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 89 1.3733633 -45.146049 0.15552860 0.99781214 1578.8507 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 95 1.9088835 -47.992541 0.11456734 0.97486855 1541.7235 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 101 0.48695768 2.4276852 0.11580850 0.95760226 1543.6793 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 123 0.35794518 24.895626 0.10473762 0.90166774 1601.9858 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 124 1.3415532 47.794733 0.15608981 0.91438562 1566.9405 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 126 2.8315143 -4.2247931 0.13586835 1.0110693 1569.3461 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 134 0.38457175 3.8195025 0.13993985 1.0201139 1504.2232 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 156 3.1753317 71.281372 0.16094985 0.95059354 1499.6288 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 203 0.57826058 -81.361666 0.13161683 0.95501186 1563.9950 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 216 3.1486881 -70.841482 0.077241765 0.93690939 1639.0607 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 218 0.55606261 -96.379723 0.071206794 1.0133014 1567.2628 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 245 1.3659870 -67.071829 0.10240329 0.99112136 1539.5124 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 255 2.1846874 -106.77850 0.051338251 0.98804617 1506.0065 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 262 1.3115758 -193.77828 0.14515132 1.0104752 1461.0675 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 267 1.0938719 -306.61575 0.22788550 1.0396420 1524.3321 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 273 1.2258412 -227.58137 0.20282526 0.96001609 1418.8217 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 283 1.3878394 -191.43033 0.089154982 1.0149558 1563.6167 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 289 2.4581795 -161.07363 0.13296296 0.96960683 1562.1978 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 311 1.9913588 -203.28946 0.13802443 0.97443556 1594.8603 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 314 2.4484315 -121.00412 0.13390592 0.96143870 1475.5639 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 10 317 0.76853827 -47.469949 0.091481846 0.95779651 1606.4790 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 10 1.4487988 0.00041205055 0.12986348 0.97916386 0.99794224 LOCATESKYLINES_2: sdR-r1-00034755.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034755.fit: comb2 l,chi^2/dof,fit: 10 1.2782324 0.00079346534 0.12562297 0.97473560 0.99834652 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.1252160.1256230.005870 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 8 1.7090114 -193.15519 0.12546296 0.92694613 1705.2168 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 17 2.4459313 -167.77697 0.22852744 0.93543832 1796.4270 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 28 1.4005815 -221.78089 0.14123047 1.0070772 1669.8022 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 32 1.1380818 -198.42764 0.055184734 0.89579861 1771.9332 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 43 3.0716417 -159.54880 0.16156340 0.96423456 1783.2650 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 44 3.5261742 -149.29971 0.096627514 0.99618627 1729.9762 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 70 4.0711926 -48.060625 0.080736271 0.96759098 1763.7094 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 78 1.4041984 -53.056383 0.089306735 0.96591355 1731.0855 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 89 3.4260444 -37.513954 0.13949687 0.94080234 1878.8672 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 95 0.88100305 -42.419435 0.067711485 0.98775738 1696.8029 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 101 0.90908683 15.596509 0.10844268 0.94069028 1799.1123 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 123 1.2750004 -9.7253973 0.14948340 0.92825946 1816.1441 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 124 1.8826899 7.6376177 0.16045192 0.91366467 1838.0282 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 126 2.3545717 0.46171124 0.14094849 0.93196123 1830.5719 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 134 2.1221113 -40.776389 0.13417065 0.97681231 1848.9350 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 156 2.2871083 57.022116 0.10613233 0.95380987 1743.1439 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 203 1.1739091 -39.730246 0.13199797 0.90662117 1870.8396 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 216 1.0779817 -82.587927 0.13743629 0.96577472 1868.5862 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 218 1.9160022 -82.532516 0.046092185 0.94209295 1816.6231 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 245 0.36344930 -93.714864 0.092417225 0.99447992 1846.1935 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 255 1.2430170 -107.49883 0.14134451 0.97307294 1770.9872 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 262 4.2714020 -178.11553 0.12114129 0.94514238 1778.7350 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 267 1.7630336 -229.34653 0.18727413 0.96672336 1798.6627 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 273 4.6175763 -260.44303 0.19793476 0.99707771 1727.7781 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 283 3.2101777 -152.32966 0.075596815 0.90887644 1873.8336 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 289 2.0996672 -111.44619 0.22424066 0.98290966 1737.0397 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 311 0.96584706 -174.58877 0.13102276 0.93364336 1704.7604 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 314 2.2772524 -120.35865 0.20601327 0.97135046 1747.5759 LOCATESKYLINES_2: sdR-r1-00034755.fit: l,f,chi^2/dof,c: 11 317 1.0235830 -59.859006 0.090664388 0.96377181 1762.9149 LOCATESKYLINES_2: sdR-r1-00034755.fit: comb1 l,chi^2/dof,fit: 11 1.6759250 0.00026744495 0.12719280 0.95330012 0.99840051 LOCATESKYLINES_2: sdR-r1-00034755.fit: sigma-clipped to 260 of 261 points; iterating fit LOCATESKYLINES_2: sdR-r1-00034755.fit: comb2 l,chi^2/dof,fit: 11 1.6102474 0.00034056818 0.12512710 0.95310310 0.99677749 LOCATESKYLINES_2: sdR-r1-00034755.fit: kept 260 of 261 points LOCATESKYLINES_2: sdR-r1-00034755.fit: offset, refoff, sigma: 0.1247200.1251270.005173 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 FITMEANX: sdR-r1-00034755.fit: In skyline number 0 std-dev is 0.027122038 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 1 std-dev is 0.062552047 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 2 std-dev is 0.097549623 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 3 std-dev is 0.086546221 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 4 std-dev is 0.082875334 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 5 std-dev is 0.058334631 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 6 std-dev is 0.042690477 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 7 std-dev is 0.032958670 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 8 std-dev is 0.038870214 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 9 std-dev is 0.038037254 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 10 std-dev is 0.043752713 pix FITMEANX: sdR-r1-00034755.fit: In skyline number 11 std-dev is 0.053130359 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 6300.3040 coadded std-dev is 0.00501459 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 6363.7760 coadded std-dev is 0.0115178 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 6553.6100 coadded std-dev is 0.0358783 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 6923.2100 coadded std-dev is 0.0200230 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 6949.0300 coadded std-dev is 0.0168954 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 7571.7500 coadded std-dev is 0.0166450 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 7794.1200 coadded std-dev is 0.00871425 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 7821.5100 coadded std-dev is 0.00704060 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 8399.1600 coadded std-dev is 0.00596542 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 8430.1700 coadded std-dev is 0.00545840 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 8885.8300 coadded std-dev is 0.00587009 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: In sky feature at 8919.6100 coadded std-dev is 0.00517309 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r1-00034755.fit: Median arc shift = 0.076175489 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: Dispersion in arc shift = 0.015054651 pix LOCATESKYLINES_2: sdR-r1-00034755.fit: Maximum sky-line shift is 0.13887410 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Number of sky fibers = 13 ROW NITER SIG(med) CHI^2 .0000 13 0.86 2.17 .0001 12 0.86 0.73 .0002 8 0.86 0.93 .0003 6 0.86 0.93 .0004 11 0.86 0.82 .0005 10 0.86 0.84 .0006 12 0.86 0.81 .0007 20 0.86 1.76 .0008 4 0.86 0.75 .0009 12 0.86 0.84 .0010 6 0.86 0.84 .0011 12 0.86 0.86 .0012 12 0.86 0.78 .0013 8 0.86 0.88 .0014 12 0.86 0.76 .0015 9 0.86 0.74 .0016 6 0.86 0.94 .0017 2 0.86 0.74 .0018 15 0.86 1.55 .0019 12 0.86 1.84 .0020 9 0.86 0.92 .0021 13 0.86 0.80 .0022 11 0.86 0.75 .0023 12 0.86 0.88 .0024 15 0.86 1.02 .0025 10 0.86 0.76 .0026 11 0.86 0.69 .0027 10 0.86 0.85 .0028 2 0.86 0.72 .0029 14 0.86 1.87 .0030 13 0.86 0.99 .0031 5 0.86 0.80 .0032 3 0.86 0.86 .0033 15 0.86 1.23 .0034 7 0.86 0.93 .0035 12 0.86 0.85 .0036 17 0.86 1.76 .0037 8 0.86 1.14 .0038 12 0.86 0.88 .0039 9 0.86 0.79 .0040 12 0.86 0.91 .0041 10 0.86 0.84 .0042 12 0.86 1.00 .0043 2 0.86 0.86 .0044 4 0.86 0.79 .0045 10 0.86 0.70 .0046 12 0.86 0.86 .0047 12 0.86 0.82 .0048 6 0.86 1.21 .0049 9 0.86 0.86 .0050 10 0.86 0.85 .0051 12 0.86 0.76 .0052 9 0.86 1.00 .0053 12 0.86 1.17 .0054 12 0.86 0.92 .0055 12 0.86 0.88 .0056 12 0.86 0.87 .0057 6 0.86 1.13 .0058 13 0.86 1.03 .0059 12 0.86 0.77 .0060 3 0.85 0.84 .0061 3 0.85 0.80 .0062 5 0.85 0.91 .0063 3 0.85 0.93 .0064 3 0.85 0.88 .0065 4 0.85 0.74 .0066 12 0.85 1.12 .0067 5 0.85 0.93 .0068 3 0.85 0.95 .0069 2 0.85 0.96 .0070 6 0.85 0.96 .0071 12 0.85 1.38 .0072 3 0.85 0.89 .0073 3 0.85 0.85 .0074 3 0.85 0.86 .0075 4 0.85 0.93 .0076 12 0.85 0.83 .0077 12 0.85 1.18 .0078 5 0.85 0.85 .0079 13 0.85 1.04 .0080 11 0.83 0.92 .0081 12 0.83 0.90 .0082 11 0.83 0.81 .0083 14 0.83 0.95 .0084 17 0.83 1.05 .0085 12 0.83 0.73 .0086 12 0.83 0.83 .0087 7 0.83 1.13 .0088 12 0.83 0.89 .0089 4 0.83 0.82 .0090 0 0.83 0.00 .0091 3 0.83 0.37 .0092 7 0.83 0.77 .0093 13 0.83 1.01 .0094 20 0.83 1.57 .0095 4 0.83 0.85 .0096 9 0.83 0.82 .0097 11 0.83 0.76 .0098 5 0.83 0.67 .0099 11 0.83 1.29 .0100 3 0.83 0.84 .0101 4 0.83 0.84 .0102 4 0.83 0.82 .0103 3 0.83 0.90 .0104 4 0.83 0.82 .0105 3 0.83 1.00 .0106 2 0.83 0.90 .0107 2 0.83 0.98 .0108 2 0.83 0.94 .0109 3 0.83 0.91 .0110 3 0.83 0.84 .0111 3 0.83 0.89 .0112 6 0.83 0.87 .0113 4 0.83 0.91 .0114 2 0.83 1.04 .0115 4 0.83 0.82 .0116 4 0.83 0.83 .0117 3 0.83 0.90 .0118 3 0.83 0.98 .0119 4 0.83 0.98 .0120 16 0.81 1.49 .0121 17 0.81 1.31 .0122 6 0.81 0.91 .0123 4 0.81 0.80 .0124 5 0.81 0.84 .0125 20 0.81 1.33 .0126 4 0.81 0.80 .0127 12 0.81 0.87 .0128 13 0.81 0.89 .0129 11 0.81 0.81 .0130 12 0.81 1.26 .0131 5 0.81 1.35 .0132 6 0.81 1.03 .0133 13 0.81 3.66 .0134 4 0.81 1.02 .0135 12 0.81 0.74 .0136 12 0.81 0.89 .0137 20 0.81 1.97 .0138 15 0.81 1.13 .0139 16 0.81 1.60 .0140 4 0.82 0.93 .0141 3 0.82 0.93 .0142 2 0.82 0.92 .0143 5 0.82 0.70 .0144 5 0.82 0.83 .0145 3 0.82 0.75 .0146 4 0.82 0.86 .0147 3 0.82 0.88 .0148 3 0.82 0.83 .0149 6 0.82 1.09 .0150 5 0.82 0.86 .0151 2 0.82 1.18 .0152 4 0.82 1.01 .0153 2 0.82 1.09 .0154 6 0.82 0.73 .0155 4 0.82 0.79 .0156 4 0.82 0.84 .0157 5 0.82 0.82 .0158 6 0.82 0.95 .0159 3 0.82 0.82 .0160 4 0.82 0.91 .0161 6 0.82 0.79 .0162 3 0.82 1.08 .0163 5 0.82 0.90 .0164 4 0.82 0.93 .0165 7 0.82 0.85 .0166 3 0.82 1.28 .0167 7 0.82 0.75 .0168 4 0.82 0.88 .0169 6 0.82 0.93 .0170 8 0.82 0.76 .0171 3 0.82 0.88 .0172 8 0.82 0.93 .0173 4 0.82 0.47 .0174 3 0.82 0.49 .0175 5 0.82 0.93 .0176 5 0.82 0.81 .0177 5 0.82 0.75 .0178 4 0.82 0.83 .0179 9 0.82 0.92 .0180 10 0.82 0.91 .0181 4 0.82 0.78 .0182 4 0.82 0.83 .0183 4 0.82 0.69 .0184 5 0.82 0.88 .0185 3 0.82 0.88 .0186 4 0.82 0.77 .0187 3 0.82 0.82 .0188 2 0.82 0.64 .0189 5 0.82 0.79 .0190 2 0.82 0.84 .0191 4 0.82 0.91 .0192 4 0.82 0.96 .0193 2 0.82 1.02 .0194 7 0.82 0.92 .0195 4 0.82 0.88 .0196 3 0.82 0.78 .0197 12 0.82 0.83 .0198 2 0.82 0.80 .0199 4 0.82 0.83 .0200 11 0.81 0.87 .0201 5 0.81 1.43 .0202 14 0.81 0.94 .0203 4 0.81 0.82 .0204 10 0.81 0.84 .0205 12 0.81 0.93 .0206 12 0.81 0.65 .0207 11 0.81 0.93 .0208 8 0.81 0.88 .0209 12 0.81 1.03 .0210 15 0.81 1.01 .0211 19 0.81 2.06 .0212 12 0.81 0.92 .0213 16 0.81 0.94 .0214 8 0.81 0.99 .0215 6 0.81 0.84 .0216 3 0.81 0.83 .0217 15 0.81 1.51 .0218 3 0.81 0.77 .0219 14 0.81 1.65 .0220 13 0.82 1.06 .0221 2 0.82 0.86 .0222 11 0.82 0.81 .0223 2 0.82 0.79 .0224 14 0.82 1.59 .0225 6 0.82 0.99 .0226 12 0.82 0.98 .0227 12 0.82 0.86 .0228 17 0.82 1.70 .0229 3 0.82 0.77 .0230 4 0.82 0.83 .0231 19 0.82 1.00 .0232 4 0.82 0.92 .0233 3 0.82 0.86 .0234 3 0.82 1.03 .0235 3 0.82 0.81 .0236 5 0.82 0.72 .0237 4 0.82 0.92 .0238 4 0.82 1.06 .0239 2 0.82 1.96 .0240 12 0.83 0.92 .0241 13 0.83 2.60 .0242 6 0.83 0.95 .0243 13 0.83 1.05 .0244 12 0.83 0.85 .0245 2 0.83 0.83 .0246 11 0.83 0.85 .0247 11 0.83 0.85 .0248 5 0.83 0.81 choldc failed 27 .0249 1 0.83 804.83 .0250 12 0.83 0.85 .0251 0 0.83 0.00 .0252 13 0.83 1.16 .0253 20 0.83 1.70 .0254 8 0.83 1.32 .0255 2 0.83 0.97 .0256 5 0.83 0.80 .0257 15 0.83 1.40 .0258 12 0.83 0.79 .0259 12 0.83 0.82 .0260 14 0.84 1.14 .0261 7 0.84 1.19 .0262 2 0.84 0.85 .0263 11 0.84 0.86 .0264 20 0.84 1.98 .0265 20 0.84 1.51 .0266 12 0.84 0.89 .0267 2 0.84 0.79 .0268 11 0.84 0.69 .0269 14 0.84 0.95 .0270 12 0.84 0.81 .0271 14 0.84 1.10 .0272 17 0.84 1.22 .0273 2 0.84 0.87 .0274 14 0.84 1.49 .0275 13 0.84 1.13 .0276 18 0.84 1.87 .0277 10 0.84 0.84 .0278 8 0.84 1.17 .0279 9 0.84 0.93 .0280 7 0.82 1.29 .0281 12 0.82 0.89 .0282 13 0.82 0.87 .0283 4 0.82 0.77 .0284 12 0.82 0.94 .0285 13 0.82 1.08 .0286 9 0.82 0.77 .0287 12 0.82 0.87 .0288 14 0.82 1.16 .0289 5 0.82 0.89 .0290 17 0.82 1.56 .0291 12 0.82 0.92 .0292 5 0.82 0.92 .0293 13 0.82 0.86 .0294 0 0.82 0.00 .0295 15 0.82 1.22 .0296 11 0.82 0.83 .0297 14 0.82 1.65 .0298 5 0.82 1.28 .0299 5 0.82 0.87 .0300 12 0.84 0.82 .0301 5 0.84 0.87 .0302 7 0.84 0.85 .0303 19 0.84 2.16 .0304 11 0.84 0.91 .0305 12 0.84 0.89 .0306 5 0.84 1.03 .0307 16 0.84 1.13 .0308 8 0.84 0.77 .0309 12 0.84 1.13 .0310 16 0.84 1.84 .0311 3 0.84 0.97 .0312 4 0.84 1.31 .0313 20 0.84 1.49 .0314 2 0.84 0.93 .0315 17 0.84 1.25 .0316 17 0.84 1.17 .0317 4 0.84 0.87 .0318 12 0.84 0.99 .0319 5 0.84 1.01 EXTRACT_IMAGE: sdR-r1-00034755.fit: masked 3530 pixels SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 0 median sigma(arc)= 0.86431177 sigma(sky)= -2.2133386 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 0 sigma^2(add)= 4.1518333 +/- 2252067.8 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 1 median sigma(arc)= 0.86109570 sigma(sky)= 1.3636311 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 1 sigma^2(add)= 1.2637118 +/- 60352.948 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 2 median sigma(arc)= 0.85311612 sigma(sky)= -5565.1718 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 2 sigma^2(add)= 28556580. +/- 21152096. SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 3 median sigma(arc)= 0.84388254 sigma(sky)= 1.2229894 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 3 sigma^2(add)= 0.78356549 +/- 1.0668119 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 4 median sigma(arc)= 0.84351759 sigma(sky)= 1.2472620 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 4 sigma^2(add)= 0.84414075 +/- 0.63865733 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 5 median sigma(arc)= 0.84401402 sigma(sky)= -0.82980647 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 5 sigma^2(add)= 0.78290935 +/- 723407.27 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 6 median sigma(arc)= 0.84792322 sigma(sky)= 0.93298844 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 6 sigma^2(add)= 0.15149464 +/- 0.17666247 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 7 median sigma(arc)= 0.84852131 sigma(sky)= 1.0925317 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 7 sigma^2(add)= 0.47363741 +/- 0.24107826 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 8 median sigma(arc)= 0.86630477 sigma(sky)= 0.89874067 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 8 sigma^2(add)= 0.057250403 +/- 0.15147226 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 9 median sigma(arc)= 0.86750877 sigma(sky)= 0.87911473 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 9 sigma^2(add)= 0.020271254 +/- 0.17306185 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 10 median sigma(arc)= 0.88759700 sigma(sky)= 0.93756947 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 10 sigma^2(add)= 0.091207578 +/- 0.20281295 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 11 median sigma(arc)= 0.88924713 sigma(sky)= 0.93699924 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Line # 11 sigma^2(add)= 0.087208209 +/- 0.15528150 SKYLINE_DISPERSION: sdR-r1-00034755.fit: Flexure sigma^2(add) = 0.050368484 +/- 0.10579518 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r1-00034755.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r1-00034755.fit: Heliocentric correction = 23.292786 km/s FITVACSET: sdR-r1-00034755.fit: Tweaking to sky lines FITVACSET: sdR-r1-00034755.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 35 0 1 35 0 2 35 0 3 35 0 4 35 0 5 35 0 6 35 0 7 35 0 8 35 0 9 35 0 10 35 0 11 35 0 12 35 0 13 35 0 14 35 0 15 35 0 16 35 0 17 35 0 18 35 0 19 35 0 20 35 0 21 35 0 22 35 0 23 35 0 24 35 0 25 35 0 26 35 0 27 35 0 28 35 0 29 35 0 30 35 0 31 35 0 32 35 0 33 35 0 34 35 0 35 35 0 36 35 0 37 35 0 38 35 0 39 35 0 40 35 0 41 35 0 42 35 0 43 35 0 44 35 0 45 35 0 46 35 0 47 35 0 48 35 0 49 35 0 50 35 0 51 35 0 52 35 0 53 35 0 54 35 0 55 35 0 56 35 0 57 35 0 58 35 0 59 35 0 60 35 0 61 35 0 62 35 0 63 35 0 64 35 0 65 35 0 66 35 0 67 35 0 68 35 0 69 35 0 70 35 0 71 35 0 72 35 0 73 35 0 74 35 0 75 35 0 76 35 0 77 35 0 78 35 0 79 35 0 80 35 0 81 35 0 82 35 0 83 35 0 84 35 0 85 35 0 86 35 0 87 35 0 88 35 0 89 35 0 90 35 0 91 35 0 92 35 0 93 35 0 94 35 0 95 35 0 96 35 0 97 35 0 98 35 0 99 35 0 100 35 0 101 35 0 102 35 0 103 35 0 104 35 0 105 35 0 106 35 0 107 35 0 108 35 0 109 35 0 110 35 0 111 35 0 112 35 0 113 35 0 114 35 0 115 35 0 116 35 0 117 35 0 118 35 0 119 35 0 120 35 0 121 35 0 122 35 0 123 35 0 124 35 0 125 35 0 126 35 0 127 35 0 128 35 0 129 35 0 130 35 0 131 35 0 132 35 0 133 35 0 134 35 0 135 35 0 136 35 0 137 35 0 138 35 0 139 35 0 140 35 0 141 35 0 142 35 0 143 35 0 144 35 0 145 35 0 146 35 0 147 35 0 148 35 0 149 35 0 150 35 0 151 35 0 152 35 0 153 35 0 154 35 0 155 35 0 156 35 0 157 35 0 158 35 0 159 35 0 160 35 0 161 35 0 162 35 0 163 35 0 164 35 0 165 35 0 166 35 0 167 35 0 168 35 0 169 35 0 170 35 0 171 35 0 172 35 0 173 35 0 174 35 0 175 35 0 176 35 0 177 35 0 178 35 0 179 35 0 180 35 0 181 35 0 182 35 0 183 35 0 184 35 0 185 35 0 186 35 0 187 35 0 188 35 0 189 35 0 190 35 0 191 35 0 192 35 0 193 35 0 194 35 0 195 35 0 196 35 0 197 35 0 198 35 0 199 35 0 200 35 0 201 35 0 202 35 0 203 35 0 204 35 0 205 35 0 206 35 0 207 35 0 208 35 0 209 35 0 210 35 0 211 35 0 212 35 0 213 35 0 214 35 0 215 35 0 216 35 0 217 35 0 218 35 0 219 35 0 220 35 0 221 35 0 222 35 0 223 35 0 224 35 0 225 35 0 226 35 0 227 35 0 228 35 0 229 35 0 230 35 0 231 35 0 232 35 0 233 35 0 234 35 0 235 35 0 236 35 0 237 35 0 238 35 0 239 35 0 240 35 0 241 35 0 242 35 0 243 35 0 244 35 0 245 35 0 246 35 0 247 35 0 248 35 0 249 35 0 250 35 0 251 35 0 252 35 0 253 35 0 254 35 0 255 35 0 256 35 0 257 35 0 258 35 0 259 35 0 260 35 0 261 35 0 262 35 0 263 35 0 264 35 0 265 35 0 266 35 0 267 35 0 268 35 0 269 35 0 270 35 0 271 35 0 272 35 0 273 35 0 274 35 0 275 35 0 276 35 0 277 35 0 278 35 0 279 35 0 280 35 0 281 35 0 282 35 0 283 35 0 284 35 0 285 35 0 286 35 0 287 35 0 288 35 0 289 35 0 290 35 0 291 35 0 292 35 0 293 35 0 294 35 0 295 35 0 296 35 0 297 35 0 298 35 0 299 35 0 300 35 0 301 35 0 302 35 0 303 35 0 304 35 0 305 35 0 306 35 0 307 35 0 308 35 0 309 35 0 310 35 0 311 35 0 312 35 0 313 35 0 314 35 0 315 35 0 316 35 0 317 35 0 318 35 0 319 35 0 XY2TRACESET: sdR-r1-00034755.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r1-00034755.fit: Number of pixels rejected: 1 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034755.fit: Number of sky fibers = 13 SKYSUBTRACT: sdR-r1-00034755.fit: Airmass range = 1.22157 1.26125 SKYSUBTRACT: sdR-r1-00034755.fit: Discarding 0.00612230 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 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Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034755.fit: Median sky-residual chi2 = 6.32231 SKYSUBTRACT: sdR-r1-00034755.fit: Max sky-residual chi2 = 34.4193 REDMONSTER: sdR-r1-00034755.fit: WARNING: Bad sky residuals at 6549 to 6598 Ang; Peak chi= 5.87 REDMONSTER: sdR-r1-00034755.fit: WARNING: Bad sky residuals at 7581 to 7644 Ang; Peak chi= 4.16 EXTRACT_OBJECT: sdR-r1-00034755.fit: Calling skysubtract again; masked skyfibers 156 SKYSUBTRACT: sdR-r1-00034755.fit: Number of sky fibers = 12 SKYSUBTRACT: sdR-r1-00034755.fit: Airmass range = 1.22157 1.26125 SKYSUBTRACT: sdR-r1-00034755.fit: Discarding 0.00626628 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 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sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 246 = 55.8244 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 284 = -75.6525 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 290 = -55.3667 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 312 = -39.0295 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 315 = 23.1680 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 318 = 34.5788 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Median sky-residual chi = 2.34664 QAPLOT_SKYSUB: sdR-r1-00034755.fit: Max sky-residual chi = 7.27050 at 6565.6410 Ang QAPLOT_SKYSUB: sdR-r1-00034755.fit: WARNING: Max sky-residual chi = 7.27050 at 6565.6410 Ang SKYSUBTRACT: sdR-r1-00034755.fit: Number of sky fibers = 12 SKYSUBTRACT: sdR-r1-00034755.fit: Airmass range = 1.22157 1.26125 SKYSUBTRACT: sdR-r1-00034755.fit: Discarding 0.00626628 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 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of 2046 Bin 1987 of 2046 Bin 1988 of 2046 Bin 1989 of 2046 Bin 1990 of 2046 Bin 1991 of 2046 Bin 1992 of 2046 Bin 1993 of 2046 Bin 1994 of 2046 Bin 1995 of 2046 Bin 1996 of 2046 Bin 1997 of 2046 Bin 1998 of 2046 Bin 1999 of 2046 Bin 2000 of 2046 Bin 2001 of 2046 Bin 2002 of 2046 Bin 2003 of 2046 Bin 2004 of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r1-00034755.fit: Median sky-residual chi2 = 4.76318 SKYSUBTRACT: sdR-r1-00034755.fit: Max sky-residual chi2 = 26.7460 QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 44 = -52.0875 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 45 = -38.4428 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 90 = 39.9347 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 102 = 60.9524 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 204 = -26.7903 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 246 = 13.4915 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 256 = -26.5074 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 284 = -82.8232 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 290 = -57.2662 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 312 = -10.9071 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 315 = 50.9255 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Warning: Median sky-sub flux in sky fiber 318 = 71.8393 electrons QAPLOT_SKYSUB: sdR-r1-00034755.fit: Median sky-residual chi = 2.17458 QAPLOT_SKYSUB: sdR-r1-00034755.fit: Max sky-residual chi = 5.56299 at 6564.0482 Ang QAPLOT_SKYSUB: sdR-r1-00034755.fit: WARNING: Max sky-residual chi = 5.56299 at 6564.0482 Ang QAPLOT_SKYLINE: sdR-r1-00034755.fit: Airmass range = 1.22 1.26 QAPLOT_SKYLINE: sdR-r1-00034755.fit: Flux dispersion for skyline 7343.0 = 6.45 % QAPLOT_SKYLINE: sdR-r1-00034755.fit: Airmass range = 1.22 1.26 QAPLOT_SKYLINE: sdR-r1-00034755.fit: Flux dispersion for skyline 8888.3 = 3.71 % SPADD_GUIDERINFO: sdR-r1-00034755.fit: Number of guider frames = 11 SPREDUCE: sdR-r1-00034755.fit: Elapsed time = 177. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 1284. seconds SPREDUCE2D: Time to reduce camera r1 = 1285. seconds READPLUGMAP: r2: Rescaling SCI_EXPTIME values by 240.10000 READPLUGMAP: r2: Adding fields from calibObj file READPLUGMAP: r2: LIED about EBV. Set to 0.3 PLUG2TSOBJ: r2: WARNING: calibObj file not found for plate 2338 READPLUGMAP: r2: WARNING: No calibObj structure found for plate 2338 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 0 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 1 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 2 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 3 READPLUGMAP: r2: Using plug-map fluxes for 640 values in filter 4 SORTPLUGMAP: r2: Number of missing fibers: 4 SPCALIB: r2: Tracing flat # 1 of 2 SPCALIB: r2: Reading flat sdR-r2-00034750.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opECalib-51577.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.63910 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 469.551 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.75800 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1320.80 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1300. DN is 0 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Tracing 320 fibers in sdR-r2-00034750.fit TRACE320CEN: r2: Big gap at fiber= 20, x= 154.91, dx= 8.11 TRACE320CEN: r2: Big gap at fiber= 40, x= 283.25, dx= 9.26 TRACE320CEN: r2: Big gap at fiber= 60, x= 409.75, dx= 8.06 TRACE320CEN: r2: Big gap at fiber= 80, x= 536.11, dx= 8.28 TRACE320CEN: r2: Big gap at fiber= 100, x= 662.22, dx= 8.27 TRACE320CEN: r2: Big gap at fiber= 140, x= 911.83, dx= 7.54 TRACE320CEN: r2: Big gap at fiber= 160, x=1037.21, dx= 8.27 TRACE320CEN: r2: Big gap at fiber= 180, x=1161.75, dx= 7.58 TRACE320CEN: r2: Big gap at fiber= 200, x=1286.97, dx= 8.00 TRACE320CEN: r2: Big gap at fiber= 220, x=1412.85, dx= 8.29 TRACE320CEN: r2: Big gap at fiber= 240, x=1538.43, dx= 7.90 TRACE320CEN: r2: Big gap at fiber= 260, x=1664.99, dx= 8.17 TRACE320CEN: r2: Big gap at fiber= 280, x=1791.38, dx= 8.14 TRACE320CEN: r2: Big gap at fiber= 300, x=1919.92, dx= 9.48 TRACE320CRUDE: r2: Warning: Fixing traces: 54 168 169 223 224 228 241 247 248 263 275 276 292 311 318 319 SPCALIB: r2: Fitting traces in sdR-r2-00034750.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 40 56 2048 20 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 83 113 2048 5 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 2 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 74 167 2048 0 168 2048 0 169 2048 0 170 2048 4 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 6 184 2048 90 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 14 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 6 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 12 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 12 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 368 SPCALIB: r2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 2.65 .0004 2 1.00 2.51 .0005 1 1.00 2.48 .0006 1 1.00 2.50 .0007 1 1.00 2.56 .0008 1 1.00 2.73 .0009 1 1.00 2.40 .0010 1 1.00 2.41 .0011 2 1.00 2.65 .0012 1 1.00 2.54 .0013 1 1.00 2.58 .0014 1 1.00 2.68 .0015 1 1.00 2.60 .0016 1 1.00 2.67 .0017 1 1.00 2.60 .0018 1 1.00 2.68 .0019 1 1.00 2.74 .0020 1 1.00 2.64 .0021 1 1.00 2.76 .0022 1 1.00 2.67 .0023 1 1.00 2.64 .0024 1 1.00 2.90 .0025 1 1.00 2.87 .0026 2 1.00 2.41 .0027 2 1.00 2.34 .0028 2 1.00 2.53 .0029 2 1.00 2.50 .0030 2 1.00 2.63 .0031 2 1.00 2.56 .0032 2 1.00 2.60 .0033 2 1.00 2.63 .0034 2 1.00 2.58 .0035 2 1.00 2.57 .0036 2 1.00 2.52 .0037 2 1.00 2.67 .0038 2 1.00 2.45 .0039 2 1.00 2.72 .0040 2 1.00 2.58 .0041 2 1.00 2.73 .0042 2 1.00 2.73 .0043 2 1.00 2.60 .0044 2 1.00 2.76 .0045 2 1.00 2.68 .0046 2 1.00 2.87 .0047 2 1.00 2.67 .0048 2 1.00 2.52 .0049 2 1.00 2.67 .0050 2 1.00 2.69 .0051 2 1.00 2.68 .0052 2 1.00 2.65 .0053 2 1.00 2.69 .0054 2 1.00 2.81 .0055 2 1.00 2.73 .0056 2 1.00 2.79 .0057 2 1.00 2.85 .0058 2 1.00 3.14 .0059 2 1.00 2.84 .0060 2 1.00 2.67 .0061 2 1.00 2.72 .0062 2 1.00 2.80 .0063 2 1.00 2.85 .0064 2 1.00 2.77 .0065 2 1.00 3.01 .0066 2 1.00 2.83 .0067 2 1.00 2.70 .0068 2 1.00 2.74 .0069 2 1.00 2.73 .0070 2 1.00 2.66 .0071 2 1.00 2.66 .0072 2 1.00 2.75 .0073 2 1.00 2.77 .0074 2 1.00 2.78 .0075 2 1.00 2.72 .0076 2 1.00 2.89 .0077 2 1.00 2.74 .0078 2 1.00 2.82 .0079 2 1.00 2.78 .0080 2 1.00 2.80 .0081 2 1.00 2.82 .0082 2 1.00 2.73 .0083 2 1.00 2.91 .0084 2 1.00 2.75 .0085 2 1.00 2.94 .0086 2 1.00 3.01 .0087 2 1.00 2.72 .0088 2 1.00 2.86 .0089 2 1.00 2.85 .0090 2 1.00 2.87 .0091 2 1.00 2.87 .0092 2 1.00 2.91 .0093 2 1.00 3.00 .0094 2 1.00 3.00 .0095 2 1.00 3.17 .0096 2 1.00 3.07 .0097 2 1.00 3.05 .0098 2 1.00 3.04 .0099 2 1.00 2.97 .0100 2 1.00 3.05 .0101 3 1.00 2.94 .0102 2 1.00 2.98 .0103 3 1.00 3.77 .0104 2 1.00 3.05 .0105 2 1.00 2.82 .0106 2 1.00 2.75 .0107 2 1.00 2.80 .0108 2 1.00 2.79 .0109 2 1.00 2.76 .0110 2 1.00 2.74 .0111 2 1.00 2.68 .0112 2 1.00 2.94 .0113 2 1.00 2.77 .0114 2 1.00 2.79 .0115 2 1.00 2.73 .0116 3 1.00 2.88 .0117 2 1.00 2.78 .0118 2 1.00 2.81 .0119 2 1.00 2.90 .0120 2 1.00 2.84 .0121 2 1.00 2.90 .0122 2 1.00 2.86 .0123 2 1.00 2.90 .0124 2 1.00 2.91 .0125 2 1.00 2.85 .0126 2 1.00 2.80 .0127 2 1.00 2.89 .0128 2 1.00 3.06 .0129 2 1.00 2.89 .0130 2 1.00 2.77 .0131 2 1.00 2.97 .0132 2 1.00 2.96 .0133 2 1.00 3.08 .0134 2 1.00 2.96 .0135 2 1.00 2.93 .0136 2 1.00 3.10 .0137 2 1.00 3.15 .0138 2 1.00 3.04 .0139 2 1.00 3.02 .0140 2 1.00 3.34 .0141 2 1.00 3.24 .0142 2 1.00 3.19 .0143 2 1.00 3.06 .0144 2 1.00 3.05 .0145 2 1.00 3.27 .0146 2 1.00 3.30 .0147 2 1.00 3.11 .0148 2 1.00 3.24 .0149 2 1.00 3.25 .0150 2 1.00 3.35 .0151 2 1.00 3.27 .0152 2 1.00 3.35 .0153 2 1.00 3.43 .0154 2 1.00 3.26 .0155 2 1.00 3.49 .0156 2 1.00 3.55 .0157 2 1.00 3.48 .0158 2 1.00 3.62 .0159 2 1.00 3.63 .0160 2 1.00 4.04 .0161 2 1.00 3.54 .0162 2 1.00 3.69 .0163 2 1.00 3.47 .0164 2 1.00 3.43 .0165 2 1.00 3.68 .0166 2 1.00 3.46 .0167 2 1.00 3.55 .0168 2 1.00 3.83 .0169 2 1.00 3.59 .0170 2 1.00 3.83 .0171 2 1.00 3.64 .0172 2 1.00 3.85 .0173 2 1.00 4.11 .0174 2 1.00 3.65 .0175 2 1.00 3.89 .0176 2 1.00 3.92 .0177 2 1.00 3.75 .0178 2 1.00 3.89 .0179 2 1.00 3.88 .0180 2 1.00 3.86 .0181 2 1.00 4.10 .0182 2 1.00 3.97 .0183 2 1.00 4.00 .0184 2 1.00 4.07 .0185 2 1.00 4.05 .0186 2 1.00 3.94 .0187 2 1.00 4.09 .0188 2 1.00 4.13 .0189 2 1.00 3.97 .0190 2 1.00 4.13 .0191 2 1.00 4.06 .0192 2 1.00 4.15 .0193 2 1.00 3.92 .0194 2 1.00 4.09 .0195 2 1.00 3.91 .0196 2 1.00 4.14 .0197 2 1.00 4.10 .0198 2 1.00 3.87 .0199 2 1.00 4.04 .0200 3 1.00 4.31 .0201 2 1.00 4.14 .0202 3 1.00 4.32 .0203 2 1.00 4.02 .0204 2 1.00 3.98 .0205 2 1.00 4.08 .0206 2 1.00 4.00 .0207 1 1.00 4.62 .0208 1 1.00 4.37 .0209 1 1.00 4.42 .0210 1 1.00 4.24 .0211 1 1.00 4.44 .0212 1 1.00 4.17 .0213 1 1.00 4.27 .0214 1 1.00 4.25 .0215 1 1.00 4.07 .0216 1 1.00 4.27 .0217 1 1.00 4.16 .0218 1 1.00 4.05 .0219 1 1.00 4.22 .0220 1 1.00 4.09 .0221 1 1.00 4.01 .0222 1 1.00 3.90 .0223 1 1.00 3.87 .0224 1 1.00 4.05 .0225 1 1.00 3.99 .0226 1 1.00 3.86 .0227 1 1.00 3.99 .0228 1 1.00 3.89 .0229 1 1.00 3.98 .0230 1 1.00 3.93 .0231 1 1.00 4.02 .0232 1 1.00 3.86 .0233 1 1.00 3.80 .0234 1 1.00 3.96 .0235 1 1.00 3.78 .0236 1 1.00 3.88 .0237 1 1.00 3.79 .0238 1 1.00 3.80 .0239 1 1.00 3.80 .0240 1 1.00 3.89 .0241 1 1.00 3.70 .0242 1 1.00 3.77 .0243 1 1.00 3.96 .0244 1 1.00 3.71 .0245 1 1.00 3.75 .0246 1 1.00 3.84 .0247 1 1.00 3.85 .0248 1 1.00 3.85 .0249 1 1.00 3.80 .0250 1 1.00 3.88 .0251 1 1.00 3.85 .0252 1 1.00 3.82 .0253 1 1.00 3.77 .0254 1 1.00 3.75 .0255 1 1.00 3.86 .0256 1 1.00 3.79 .0257 1 1.00 3.88 .0258 1 1.00 3.98 .0259 1 1.00 4.08 .0260 1 1.00 3.75 .0261 1 1.00 4.05 .0262 1 1.00 3.91 .0263 1 1.00 3.75 .0264 1 1.00 3.98 .0265 1 1.00 3.77 .0266 1 1.00 3.92 .0267 1 1.00 3.97 .0268 1 1.00 4.06 .0269 1 1.00 3.93 .0270 1 1.00 4.14 .0271 1 1.00 4.18 .0272 1 1.00 4.08 .0273 1 1.00 4.24 .0274 1 1.00 4.02 .0275 1 1.00 4.20 .0276 1 1.00 4.59 .0277 1 1.00 4.12 .0278 1 1.00 4.29 .0279 1 1.00 4.23 .0280 1 1.00 4.41 .0281 1 1.00 4.35 .0282 1 1.00 4.30 .0283 1 1.00 4.26 .0284 1 1.00 4.28 .0285 1 1.00 4.22 .0286 1 1.00 4.29 .0287 1 1.00 4.33 .0288 1 1.00 4.29 .0289 1 1.00 4.24 .0290 1 1.00 4.32 .0291 1 1.00 4.41 .0292 1 1.00 4.44 .0293 1 1.00 4.40 .0294 1 1.00 4.46 .0295 1 1.00 4.52 .0296 1 1.00 4.50 .0297 1 1.00 4.59 .0298 1 1.00 4.33 .0299 1 1.00 4.49 .0300 1 1.00 4.60 .0301 1 1.00 4.53 .0302 2 1.00 3.87 .0303 1 1.00 4.71 .0304 2 1.00 4.14 .0305 2 1.00 4.31 .0306 2 1.00 4.00 .0307 2 1.00 3.96 .0308 2 1.00 4.12 .0309 2 1.00 4.12 .0310 2 1.00 4.03 .0311 2 1.00 3.93 .0312 2 1.00 3.98 .0313 2 1.00 3.91 .0314 2 1.00 3.91 .0315 2 1.00 4.01 .0316 2 1.00 3.92 .0317 2 1.00 3.96 .0318 2 1.00 4.03 .0319 2 1.00 3.95 .0320 2 1.00 3.92 .0321 2 1.00 3.93 .0322 2 1.00 3.84 .0323 2 1.00 4.09 .0324 2 1.00 3.81 .0325 2 1.00 3.82 .0326 2 1.00 3.97 .0327 2 1.00 3.97 .0328 2 1.00 3.86 .0329 2 1.00 3.92 .0330 2 1.00 3.91 .0331 2 1.00 3.85 .0332 2 1.00 3.87 .0333 2 1.00 3.67 .0334 2 1.00 3.54 .0335 2 1.00 3.67 .0336 2 1.00 3.61 .0337 2 1.00 3.73 .0338 2 1.00 3.55 .0339 2 1.00 3.78 .0340 2 1.00 3.80 .0341 2 1.00 3.60 .0342 2 1.00 3.59 .0343 2 1.00 3.55 .0344 2 1.00 3.47 .0345 2 1.00 3.52 .0346 2 1.00 3.56 .0347 2 1.00 3.60 .0348 2 1.00 3.39 .0349 2 1.00 3.64 .0350 2 1.00 3.22 .0351 2 1.00 3.52 .0352 2 1.00 3.46 .0353 2 1.00 3.36 .0354 2 1.00 3.39 .0355 2 1.00 3.28 .0356 2 1.00 3.36 .0357 2 1.00 3.53 .0358 2 1.00 3.34 .0359 2 1.00 3.29 .0360 2 1.00 3.25 .0361 2 1.00 3.40 .0362 2 1.00 3.30 .0363 2 1.00 3.38 .0364 2 1.00 3.19 .0365 2 1.00 3.29 .0366 2 1.00 3.31 .0367 2 1.00 3.34 .0368 2 1.00 3.16 .0369 2 1.00 3.19 .0370 2 1.00 3.38 .0371 2 1.00 3.18 .0372 2 1.00 3.55 .0373 2 1.00 3.34 .0374 2 1.00 3.39 .0375 2 1.00 3.20 .0376 2 1.00 3.22 .0377 2 1.00 3.38 .0378 2 1.00 3.35 .0379 2 1.00 3.31 .0380 2 1.00 3.35 .0381 2 1.00 3.48 .0382 2 1.00 3.52 .0383 2 1.00 3.35 .0384 3 1.00 3.32 .0385 2 1.00 3.28 .0386 2 1.00 3.21 .0387 2 1.00 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5.20 .1609 1 1.00 5.28 .1610 1 1.00 5.30 .1611 1 1.00 5.46 .1612 1 1.00 5.32 .1613 1 1.00 5.59 .1614 1 1.00 5.36 .1615 1 1.00 5.14 .1616 1 1.00 5.17 .1617 1 1.00 5.28 .1618 1 1.00 5.29 .1619 1 1.00 5.21 .1620 1 1.00 5.23 .1621 1 1.00 5.29 .1622 1 1.00 5.20 .1623 1 1.00 5.19 .1624 1 1.00 5.13 .1625 1 1.00 5.15 .1626 1 1.00 5.25 .1627 1 1.00 5.10 .1628 1 1.00 5.32 .1629 1 1.00 5.38 .1630 1 1.00 5.23 .1631 1 1.00 5.29 .1632 1 1.00 5.05 .1633 1 1.00 5.24 .1634 1 1.00 5.08 .1635 1 1.00 5.71 .1636 1 1.00 5.47 .1637 1 1.00 5.16 .1638 1 1.00 5.15 .1639 1 1.00 5.72 .1640 1 1.00 5.12 .1641 1 1.00 5.13 .1642 1 1.00 5.13 .1643 1 1.00 5.39 .1644 1 1.00 5.18 .1645 1 1.00 5.25 .1646 1 1.00 5.19 .1647 1 1.00 5.21 .1648 1 1.00 5.24 .1649 2 1.00 5.09 .1650 1 1.00 5.17 .1651 1 1.00 5.26 .1652 1 1.00 5.22 .1653 1 1.00 5.29 .1654 1 1.00 4.95 .1655 1 1.00 5.24 .1656 1 1.00 5.37 .1657 1 1.00 5.15 .1658 1 1.00 5.32 .1659 1 1.00 5.13 .1660 1 1.00 5.21 .1661 1 1.00 5.28 .1662 1 1.00 5.16 .1663 1 1.00 5.13 .1664 1 1.00 5.08 .1665 1 1.00 4.95 .1666 1 1.00 5.15 .1667 2 1.00 5.59 .1668 1 1.00 5.59 .1669 1 1.00 5.16 .1670 1 1.00 5.08 .1671 1 1.00 5.02 .1672 1 1.00 5.14 .1673 1 1.00 4.94 .1674 1 1.00 4.83 .1675 1 1.00 4.97 .1676 1 1.00 5.07 .1677 1 1.00 4.89 .1678 1 1.00 5.08 .1679 1 1.00 5.22 .1680 1 1.00 4.94 .1681 1 1.00 4.76 .1682 1 1.00 5.02 .1683 1 1.00 4.82 .1684 1 1.00 4.77 .1685 1 1.00 4.93 .1686 1 1.00 4.86 .1687 1 1.00 4.85 .1688 1 1.00 5.10 .1689 1 1.00 4.93 .1690 1 1.00 5.02 .1691 1 1.00 4.78 .1692 1 1.00 4.87 .1693 1 1.00 4.86 .1694 1 1.00 4.83 .1695 1 1.00 4.77 .1696 1 1.00 4.74 .1697 1 1.00 4.70 .1698 1 1.00 4.57 .1699 1 1.00 5.01 .1700 1 1.00 5.06 .1701 1 1.00 4.93 .1702 1 1.00 5.00 .1703 1 1.00 4.76 .1704 1 1.00 4.84 .1705 1 1.00 4.78 .1706 1 1.00 4.74 .1707 1 1.00 4.85 .1708 1 1.00 4.75 .1709 1 1.00 5.17 .1710 1 1.00 4.79 .1711 1 1.00 4.77 .1712 1 1.00 4.99 .1713 1 1.00 5.78 .1714 1 1.00 4.75 .1715 2 1.00 4.71 .1716 1 1.00 4.84 .1717 1 1.00 4.78 .1718 1 1.00 4.89 .1719 1 1.00 4.73 .1720 1 1.00 4.81 .1721 1 1.00 4.93 .1722 1 1.00 4.96 .1723 1 1.00 5.36 .1724 2 1.00 4.93 .1725 1 1.00 4.61 .1726 1 1.00 4.87 .1727 1 1.00 4.91 .1728 1 1.00 4.77 .1729 1 1.00 4.78 .1730 1 1.00 4.57 .1731 1 1.00 5.13 .1732 1 1.00 4.77 .1733 1 1.00 4.80 .1734 1 1.00 4.49 .1735 1 1.00 4.64 .1736 1 1.00 4.64 .1737 1 1.00 4.69 .1738 1 1.00 4.59 .1739 1 1.00 4.64 .1740 1 1.00 4.64 .1741 1 1.00 4.78 .1742 2 1.00 4.73 .1743 1 1.00 5.00 .1744 2 1.00 5.16 .1745 1 1.00 5.01 .1746 1 1.00 4.80 .1747 1 1.00 4.68 .1748 1 1.00 4.61 .1749 1 1.00 4.65 .1750 1 1.00 4.59 .1751 1 1.00 4.76 .1752 1 1.00 4.80 .1753 1 1.00 4.55 .1754 1 1.00 4.64 .1755 1 1.00 4.49 .1756 1 1.00 4.82 .1757 1 1.00 5.28 .1758 1 1.00 4.81 .1759 1 1.00 4.60 .1760 1 1.00 4.60 .1761 1 1.00 4.63 .1762 1 1.00 4.78 .1763 1 1.00 4.59 .1764 1 1.00 4.65 .1765 1 1.00 4.50 .1766 1 1.00 4.86 .1767 1 1.00 4.60 .1768 1 1.00 4.72 .1769 1 1.00 4.74 .1770 1 1.00 4.93 .1771 1 1.00 4.70 .1772 1 1.00 4.64 .1773 1 1.00 4.60 .1774 1 1.00 4.69 .1775 1 1.00 4.64 .1776 1 1.00 4.87 .1777 1 1.00 4.93 .1778 1 1.00 4.85 .1779 1 1.00 4.86 .1780 1 1.00 4.72 .1781 1 1.00 4.64 .1782 1 1.00 4.87 .1783 1 1.00 4.72 .1784 1 1.00 4.81 .1785 1 1.00 4.83 .1786 1 1.00 4.80 .1787 1 1.00 4.78 .1788 1 1.00 4.81 .1789 1 1.00 4.72 .1790 1 1.00 4.67 .1791 1 1.00 4.88 .1792 1 1.00 4.64 .1793 1 1.00 4.67 .1794 1 1.00 4.71 .1795 1 1.00 4.71 .1796 1 1.00 4.52 .1797 1 1.00 4.87 .1798 1 1.00 4.73 .1799 1 1.00 4.78 .1800 1 1.00 4.79 .1801 1 1.00 4.78 .1802 1 1.00 4.60 .1803 1 1.00 5.39 .1804 1 1.00 4.68 .1805 1 1.00 4.78 .1806 1 1.00 4.73 .1807 2 1.00 4.90 .1808 1 1.00 5.05 .1809 1 1.00 4.83 .1810 1 1.00 4.88 .1811 1 1.00 4.81 .1812 1 1.00 5.02 .1813 1 1.00 4.97 .1814 1 1.00 4.97 .1815 1 1.00 4.92 .1816 1 1.00 4.85 .1817 1 1.00 4.91 .1818 1 1.00 5.08 .1819 1 1.00 5.00 .1820 1 1.00 5.22 .1821 1 1.00 4.86 .1822 1 1.00 5.13 .1823 2 1.00 5.34 .1824 1 1.00 5.96 .1825 1 1.00 5.15 .1826 1 1.00 4.87 .1827 1 1.00 5.04 .1828 1 1.00 5.45 .1829 1 1.00 4.96 .1830 1 1.00 5.10 .1831 1 1.00 5.20 .1832 1 1.00 5.12 .1833 1 1.00 4.87 .1834 1 1.00 5.04 .1835 1 1.00 5.13 .1836 1 1.00 5.22 .1837 1 1.00 4.99 .1838 1 1.00 5.06 .1839 1 1.00 5.12 .1840 1 1.00 4.81 .1841 1 1.00 5.01 .1842 1 1.00 5.00 .1843 1 1.00 5.24 .1844 1 1.00 5.10 .1845 1 1.00 4.96 .1846 1 1.00 5.09 .1847 1 1.00 4.87 .1848 1 1.00 4.84 .1849 1 1.00 5.15 .1850 1 1.00 5.12 .1851 1 1.00 4.99 .1852 1 1.00 4.99 .1853 1 1.00 5.12 .1854 1 1.00 5.01 .1855 1 1.00 5.28 .1856 1 1.00 5.29 .1857 1 1.00 5.27 .1858 1 1.00 5.13 .1859 1 1.00 5.25 .1860 1 1.00 5.23 .1861 1 1.00 5.21 .1862 1 1.00 5.28 .1863 1 1.00 5.36 .1864 1 1.00 5.04 .1865 1 1.00 5.16 .1866 1 1.00 5.35 .1867 1 1.00 5.27 .1868 1 1.00 5.28 .1869 1 1.00 5.14 .1870 1 1.00 5.18 .1871 1 1.00 5.36 .1872 1 1.00 5.08 .1873 1 1.00 5.38 .1874 1 1.00 5.34 .1875 1 1.00 5.29 .1876 1 1.00 5.39 .1877 1 1.00 5.15 .1878 1 1.00 5.28 .1879 1 1.00 5.21 .1880 1 1.00 5.20 .1881 1 1.00 5.15 .1882 1 1.00 5.15 .1883 1 1.00 5.14 .1884 1 1.00 5.21 .1885 1 1.00 5.71 .1886 1 1.00 5.15 .1887 1 1.00 5.23 .1888 1 1.00 5.09 .1889 1 1.00 5.07 .1890 1 1.00 5.22 .1891 1 1.00 5.13 .1892 1 1.00 4.85 .1893 1 1.00 4.99 .1894 1 1.00 5.10 .1895 1 1.00 5.16 .1896 1 1.00 5.26 .1897 1 1.00 4.95 .1898 1 1.00 5.99 .1899 1 1.00 5.07 .1900 1 1.00 5.04 .1901 1 1.00 4.98 .1902 1 1.00 5.01 .1903 1 1.00 5.24 .1904 1 1.00 4.99 .1905 1 1.00 5.29 .1906 1 1.00 5.48 .1907 1 1.00 5.34 .1908 1 1.00 5.19 .1909 1 1.00 4.95 .1910 1 1.00 5.01 .1911 1 1.00 5.09 .1912 1 1.00 5.08 .1913 1 1.00 5.21 .1914 1 1.00 5.00 .1915 1 1.00 5.13 .1916 1 1.00 5.10 .1917 1 1.00 5.21 .1918 1 1.00 5.06 .1919 1 1.00 5.00 .1920 1 1.00 4.91 .1921 1 1.00 4.90 .1922 1 1.00 4.98 .1923 2 1.00 6.36 .1924 1 1.00 5.03 .1925 1 1.00 5.19 .1926 1 1.00 5.13 .1927 1 1.00 5.78 .1928 2 1.00 5.21 .1929 1 1.00 5.08 .1930 1 1.00 5.18 .1931 1 1.00 5.01 .1932 1 1.00 5.05 .1933 1 1.00 5.07 .1934 1 1.00 5.09 .1935 1 1.00 5.08 .1936 1 1.00 5.01 .1937 1 1.00 5.11 .1938 2 1.00 5.24 .1939 1 1.00 4.94 .1940 1 1.00 4.68 .1941 1 1.00 5.16 .1942 2 1.00 5.01 .1943 1 1.00 4.83 .1944 1 1.00 5.04 .1945 1 1.00 4.91 .1946 1 1.00 4.82 .1947 1 1.00 4.85 .1948 1 1.00 4.87 .1949 1 1.00 5.13 .1950 1 1.00 5.50 .1951 1 1.00 4.64 .1952 1 1.00 4.65 .1953 1 1.00 4.92 .1954 1 1.00 4.84 .1955 1 1.00 4.90 .1956 1 1.00 4.91 .1957 1 1.00 4.63 .1958 1 1.00 4.76 .1959 1 1.00 4.84 .1960 1 1.00 4.89 .1961 1 1.00 4.98 .1962 1 1.00 4.76 .1963 1 1.00 4.77 .1964 1 1.00 4.79 .1965 1 1.00 4.79 .1966 1 1.00 4.79 .1967 1 1.00 4.98 .1968 1 1.00 4.90 .1969 1 1.00 5.02 .1970 2 1.00 4.93 .1971 1 1.00 4.87 .1972 1 1.00 5.02 .1973 1 1.00 4.74 .1974 2 1.00 4.83 .1975 1 1.00 4.68 .1976 1 1.00 4.77 .1977 1 1.00 4.69 .1978 1 1.00 5.02 .1979 1 1.00 5.22 .1980 1 1.00 4.72 .1981 1 1.00 4.74 .1982 1 1.00 4.88 .1983 1 1.00 4.85 .1984 1 1.00 4.81 .1985 1 1.00 4.94 .1986 1 1.00 4.70 .1987 1 1.00 4.84 .1988 1 1.00 4.67 .1989 1 1.00 4.79 .1990 1 1.00 4.76 .1991 1 1.00 4.76 .1992 1 1.00 4.51 .1993 1 1.00 4.74 .1994 1 1.00 4.44 .1995 1 1.00 4.52 .1996 1 1.00 4.56 .1997 1 1.00 4.48 .1998 1 1.00 4.40 .1999 1 1.00 4.61 .2000 1 1.00 4.63 .2001 1 1.00 4.42 .2002 1 1.00 4.48 .2003 1 1.00 4.61 .2004 1 1.00 4.57 .2005 1 1.00 4.82 .2006 1 1.00 4.85 .2007 1 1.00 4.67 .2008 1 1.00 4.78 .2009 1 1.00 4.77 .2010 1 1.00 5.03 .2011 1 1.00 5.83 .2012 1 1.00 4.96 .2013 1 1.00 5.21 .2014 1 1.00 4.88 .2015 1 1.00 4.67 .2016 1 1.00 4.80 .2017 1 1.00 4.83 .2018 1 1.00 4.72 .2019 1 1.00 5.04 .2020 1 1.00 4.86 .2021 1 1.00 4.57 .2022 1 1.00 4.67 .2023 1 1.00 4.32 .2024 1 1.00 4.55 .2025 1 1.00 4.38 .2026 1 1.00 4.46 .2027 1 1.00 5.24 .2028 1 1.00 4.60 .2029 1 1.00 4.43 .2030 1 1.00 4.37 .2031 1 1.00 4.45 .2032 1 1.00 4.42 .2033 1 1.00 4.12 .2034 1 1.00 4.33 .2035 1 1.00 4.21 .2036 1 1.00 4.09 .2037 1 1.00 4.35 .2038 1 1.00 4.27 .2039 1 1.00 4.14 .2040 1 1.00 4.21 .2041 1 1.00 4.24 .2042 1 1.00 4.34 .2043 1 1.00 4.18 .2044 1 1.00 4.24 .2045 1 1.00 4.45 .2046 1 1.00 4.36 .2047 1 1.00 4.35 EXTRACT_IMAGE: r2: masked 495 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITFLATWIDTH: r2: Median spatial widths = 0.93 0.90 0.99 0.91 pix (LL LR UL UR) SPCALIB: r2: Using Cubic, median chi squareds: vs SPCALIB: r2: Found 0 bright pixels in extracted flat sdR-r2-00034750.fit SPCALIB: r2: Tracing flat # 2 of 2 SPCALIB: r2: Reading flat sdR-r2-00034756.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.50693 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 469.214 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.73945 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1321.50 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1301. DN is 0 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Tracing 320 fibers in sdR-r2-00034756.fit TRACE320CEN: r2: Big gap at fiber= 20, x= 154.99, dx= 8.10 TRACE320CEN: r2: Big gap at fiber= 40, x= 283.34, dx= 9.28 TRACE320CEN: r2: Big gap at fiber= 60, x= 409.82, dx= 8.06 TRACE320CEN: r2: Big gap at fiber= 80, x= 536.18, dx= 8.29 TRACE320CEN: r2: Big gap at fiber= 100, x= 662.28, dx= 8.28 TRACE320CEN: r2: Big gap at fiber= 140, x= 911.88, dx= 7.53 TRACE320CEN: r2: Big gap at fiber= 160, x=1037.26, dx= 8.27 TRACE320CEN: r2: Big gap at fiber= 180, x=1161.78, dx= 7.57 TRACE320CEN: r2: Big gap at fiber= 200, x=1287.00, dx= 8.00 TRACE320CEN: r2: Big gap at fiber= 220, x=1412.87, dx= 8.28 TRACE320CEN: r2: Big gap at fiber= 240, x=1538.45, dx= 7.89 TRACE320CEN: r2: Big gap at fiber= 260, x=1665.00, dx= 8.16 TRACE320CEN: r2: Big gap at fiber= 280, x=1791.38, dx= 8.13 TRACE320CEN: r2: Big gap at fiber= 300, x=1919.91, dx= 9.48 TRACE320CRUDE: r2: Warning: Fixing traces: 54 168 169 223 224 228 241 247 248 263 275 276 292 311 318 319 SPCALIB: r2: Fitting traces in sdR-r2-00034756.fit TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 43 56 2048 15 57 2048 0 58 2048 0 59 2048 0 60 2048 1 61 2048 1 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 88 113 2048 2 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 71 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 3 184 2048 90 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 18 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 7 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 9 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 8 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 356 SPCALIB: r2: Extracting flat with exponential cubic (proftype 3) ROW NITER SIG(med) CHI^2 .0000 0 1.00 0.00 .0001 0 1.00 0.00 .0002 0 1.00 0.00 .0003 1 1.00 2.36 .0004 1 1.00 2.44 .0005 1 1.00 2.38 .0006 1 1.00 2.45 .0007 1 1.00 2.34 .0008 1 1.00 2.57 .0009 1 1.00 2.52 .0010 1 1.00 2.40 .0011 2 1.00 2.55 .0012 1 1.00 2.47 .0013 1 1.00 2.66 .0014 2 1.00 3.02 .0015 1 1.00 2.71 .0016 1 1.00 2.46 .0017 1 1.00 2.60 .0018 1 1.00 2.69 .0019 1 1.00 2.85 .0020 2 1.00 2.78 .0021 3 1.00 2.52 .0022 1 1.00 3.11 .0023 1 1.00 2.78 .0024 2 1.00 2.76 .0025 3 1.00 3.02 .0026 3 1.00 2.40 .0027 2 1.00 2.34 .0028 2 1.00 2.42 .0029 2 1.00 2.45 .0030 2 1.00 2.48 .0031 2 1.00 2.47 .0032 2 1.00 2.52 .0033 2 1.00 2.68 .0034 2 1.00 2.45 .0035 2 1.00 2.42 .0036 2 1.00 2.61 .0037 2 1.00 2.56 .0038 2 1.00 2.51 .0039 2 1.00 2.68 .0040 2 1.00 2.48 .0041 2 1.00 2.54 .0042 2 1.00 2.48 .0043 2 1.00 2.50 .0044 2 1.00 2.71 .0045 2 1.00 2.52 .0046 2 1.00 2.56 .0047 2 1.00 2.72 .0048 2 1.00 2.77 .0049 3 1.00 2.81 .0050 2 1.00 2.70 .0051 2 1.00 2.62 .0052 2 1.00 2.58 .0053 2 1.00 2.87 .0054 2 1.00 2.66 .0055 2 1.00 2.70 .0056 2 1.00 2.68 .0057 2 1.00 2.78 .0058 2 1.00 2.74 .0059 2 1.00 2.67 .0060 2 1.00 2.75 .0061 2 1.00 2.86 .0062 2 1.00 2.88 .0063 2 1.00 2.69 .0064 2 1.00 2.70 .0065 2 1.00 2.80 .0066 2 1.00 2.70 .0067 2 1.00 2.92 .0068 2 1.00 2.68 .0069 2 1.00 2.83 .0070 2 1.00 2.71 .0071 2 1.00 2.73 .0072 2 1.00 2.84 .0073 2 1.00 2.80 .0074 2 1.00 3.12 .0075 2 1.00 2.79 .0076 2 1.00 2.87 .0077 2 1.00 2.81 .0078 2 1.00 2.67 .0079 2 1.00 2.78 .0080 2 1.00 2.82 .0081 2 1.00 2.85 .0082 2 1.00 2.79 .0083 2 1.00 2.81 .0084 2 1.00 2.89 .0085 2 1.00 2.65 .0086 2 1.00 2.83 .0087 2 1.00 2.67 .0088 2 1.00 2.89 .0089 2 1.00 2.75 .0090 2 1.00 2.83 .0091 2 1.00 2.89 .0092 2 1.00 2.83 .0093 2 1.00 2.97 .0094 2 1.00 3.00 .0095 3 1.00 2.98 .0096 2 1.00 2.95 .0097 2 1.00 3.10 .0098 2 1.00 2.96 .0099 2 1.00 3.06 .0100 2 1.00 3.08 .0101 2 1.00 3.06 .0102 2 1.00 2.78 .0103 2 1.00 2.88 .0104 2 1.00 2.76 .0105 2 1.00 2.83 .0106 2 1.00 2.93 .0107 3 1.00 2.76 .0108 2 1.00 2.81 .0109 2 1.00 2.82 .0110 2 1.00 2.86 .0111 2 1.00 2.85 .0112 2 1.00 2.67 .0113 2 1.00 2.76 .0114 2 1.00 2.84 .0115 2 1.00 2.79 .0116 2 1.00 2.83 .0117 2 1.00 3.03 .0118 2 1.00 2.87 .0119 2 1.00 2.98 .0120 2 1.00 2.86 .0121 2 1.00 2.91 .0122 2 1.00 3.09 .0123 2 1.00 2.91 .0124 2 1.00 2.73 .0125 2 1.00 2.63 .0126 2 1.00 2.71 .0127 2 1.00 2.77 .0128 2 1.00 2.77 .0129 2 1.00 3.03 .0130 2 1.00 2.96 .0131 2 1.00 3.01 .0132 2 1.00 2.84 .0133 2 1.00 2.99 .0134 2 1.00 2.90 .0135 2 1.00 2.95 .0136 2 1.00 3.03 .0137 2 1.00 3.04 .0138 2 1.00 2.94 .0139 2 1.00 3.15 .0140 2 1.00 3.30 .0141 2 1.00 3.04 .0142 2 1.00 2.99 .0143 2 1.00 3.08 .0144 2 1.00 3.15 .0145 2 1.00 3.01 .0146 2 1.00 3.17 .0147 2 1.00 3.04 .0148 2 1.00 3.27 .0149 2 1.00 3.14 .0150 2 1.00 3.22 .0151 2 1.00 3.05 .0152 2 1.00 3.20 .0153 2 1.00 3.25 .0154 2 1.00 3.35 .0155 2 1.00 3.30 .0156 2 1.00 3.34 .0157 2 1.00 3.45 .0158 2 1.00 3.46 .0159 2 1.00 3.61 .0160 2 1.00 3.37 .0161 2 1.00 3.50 .0162 2 1.00 3.27 .0163 2 1.00 3.69 .0164 2 1.00 3.53 .0165 2 1.00 3.78 .0166 3 1.00 3.71 .0167 2 1.00 3.99 .0168 2 1.00 3.66 .0169 2 1.00 3.73 .0170 2 1.00 3.42 .0171 2 1.00 3.52 .0172 2 1.00 3.76 .0173 2 1.00 3.98 .0174 2 1.00 3.83 .0175 2 1.00 3.86 .0176 2 1.00 3.65 .0177 2 1.00 3.96 .0178 2 1.00 3.87 .0179 2 1.00 3.86 .0180 2 1.00 4.25 .0181 2 1.00 3.81 .0182 2 1.00 3.90 .0183 2 1.00 3.86 .0184 2 1.00 4.00 .0185 2 1.00 3.84 .0186 2 1.00 3.97 .0187 2 1.00 3.90 .0188 2 1.00 4.23 .0189 2 1.00 3.95 .0190 2 1.00 3.86 .0191 2 1.00 3.97 .0192 2 1.00 3.86 .0193 2 1.00 4.14 .0194 2 1.00 3.98 .0195 2 1.00 4.07 .0196 2 1.00 4.07 .0197 2 1.00 4.04 .0198 2 1.00 3.99 .0199 2 1.00 3.88 .0200 2 1.00 3.88 .0201 2 1.00 3.98 .0202 2 1.00 3.95 .0203 2 1.00 4.31 .0204 3 1.00 4.23 .0205 2 1.00 3.86 .0206 2 1.00 4.07 .0207 1 1.00 4.51 .0208 1 1.00 4.38 .0209 1 1.00 4.30 .0210 1 1.00 4.27 .0211 1 1.00 4.14 .0212 1 1.00 4.40 .0213 1 1.00 4.31 .0214 1 1.00 4.50 .0215 3 1.00 4.00 .0216 3 1.00 4.36 .0217 1 1.00 4.15 .0218 1 1.00 4.11 .0219 1 1.00 4.14 .0220 1 1.00 4.07 .0221 1 1.00 3.83 .0222 1 1.00 3.98 .0223 2 1.00 4.25 .0224 1 1.00 3.87 .0225 1 1.00 3.81 .0226 1 1.00 3.80 .0227 1 1.00 4.03 .0228 1 1.00 3.94 .0229 1 1.00 3.82 .0230 1 1.00 3.92 .0231 1 1.00 3.77 .0232 1 1.00 3.83 .0233 1 1.00 3.90 .0234 1 1.00 3.89 .0235 1 1.00 3.84 .0236 1 1.00 3.79 .0237 1 1.00 3.81 .0238 1 1.00 3.71 .0239 1 1.00 3.73 .0240 1 1.00 3.57 .0241 1 1.00 3.66 .0242 1 1.00 3.87 .0243 1 1.00 3.65 .0244 1 1.00 3.86 .0245 1 1.00 3.82 .0246 1 1.00 3.65 .0247 1 1.00 3.47 .0248 1 1.00 3.80 .0249 1 1.00 3.65 .0250 1 1.00 3.60 .0251 1 1.00 3.68 .0252 1 1.00 3.66 .0253 2 1.00 3.75 .0254 4 1.00 3.78 .0255 2 1.00 3.73 .0256 1 1.00 3.81 .0257 1 1.00 3.75 .0258 1 1.00 3.91 .0259 1 1.00 3.65 .0260 1 1.00 3.68 .0261 1 1.00 3.63 .0262 1 1.00 3.97 .0263 1 1.00 4.53 .0264 1 1.00 3.83 .0265 1 1.00 3.75 .0266 3 1.00 3.89 .0267 2 1.00 4.14 .0268 1 1.00 3.99 .0269 1 1.00 3.78 .0270 1 1.00 3.84 .0271 1 1.00 3.91 .0272 1 1.00 3.83 .0273 1 1.00 3.91 .0274 1 1.00 3.77 .0275 1 1.00 3.92 .0276 1 1.00 3.87 .0277 1 1.00 3.94 .0278 1 1.00 4.41 .0279 1 1.00 4.04 .0280 1 1.00 4.01 .0281 1 1.00 4.37 .0282 1 1.00 4.16 .0283 1 1.00 4.06 .0284 1 1.00 4.66 .0285 1 1.00 4.22 .0286 1 1.00 4.17 .0287 1 1.00 4.26 .0288 1 1.00 4.22 .0289 1 1.00 4.06 .0290 1 1.00 4.23 .0291 1 1.00 4.28 .0292 1 1.00 4.31 .0293 1 1.00 4.48 .0294 1 1.00 4.13 .0295 1 1.00 4.73 .0296 1 1.00 4.38 .0297 1 1.00 4.54 .0298 1 1.00 4.57 .0299 1 1.00 4.50 .0300 1 1.00 4.63 .0301 2 1.00 3.87 .0302 2 1.00 3.79 .0303 1 1.00 4.56 .0304 2 1.00 3.90 .0305 2 1.00 4.02 .0306 2 1.00 3.79 .0307 2 1.00 4.07 .0308 2 1.00 3.84 .0309 2 1.00 3.77 .0310 2 1.00 4.01 .0311 2 1.00 4.06 .0312 2 1.00 3.89 .0313 2 1.00 3.96 .0314 2 1.00 4.08 .0315 2 1.00 3.83 .0316 2 1.00 4.03 .0317 2 1.00 3.85 .0318 2 1.00 3.90 .0319 2 1.00 3.78 .0320 2 1.00 3.68 .0321 2 1.00 3.78 .0322 2 1.00 3.83 .0323 2 1.00 3.69 .0324 2 1.00 3.88 .0325 2 1.00 3.93 .0326 2 1.00 3.93 .0327 2 1.00 3.74 .0328 2 1.00 3.86 .0329 2 1.00 3.81 .0330 2 1.00 3.77 .0331 2 1.00 3.67 .0332 2 1.00 3.88 .0333 2 1.00 3.92 .0334 2 1.00 3.84 .0335 2 1.00 3.75 .0336 2 1.00 3.71 .0337 2 1.00 3.51 .0338 2 1.00 3.54 .0339 2 1.00 3.50 .0340 2 1.00 3.67 .0341 2 1.00 3.65 .0342 2 1.00 3.41 .0343 2 1.00 3.52 .0344 2 1.00 3.59 .0345 2 1.00 3.35 .0346 2 1.00 3.56 .0347 2 1.00 3.53 .0348 2 1.00 3.35 .0349 2 1.00 3.49 .0350 2 1.00 3.43 .0351 2 1.00 3.49 .0352 2 1.00 3.57 .0353 3 1.00 3.35 .0354 2 1.00 3.50 .0355 2 1.00 3.39 .0356 2 1.00 3.31 .0357 2 1.00 3.28 .0358 2 1.00 3.36 .0359 2 1.00 3.34 .0360 2 1.00 3.31 .0361 2 1.00 3.45 .0362 2 1.00 3.15 .0363 2 1.00 3.18 .0364 2 1.00 3.44 .0365 2 1.00 3.30 .0366 2 1.00 3.40 .0367 2 1.00 3.33 .0368 2 1.00 3.20 .0369 2 1.00 3.29 .0370 2 1.00 3.26 .0371 2 1.00 3.28 .0372 2 1.00 3.40 .0373 2 1.00 3.21 .0374 2 1.00 3.22 .0375 2 1.00 3.25 .0376 2 1.00 3.28 .0377 2 1.00 3.07 .0378 2 1.00 3.14 .0379 2 1.00 3.24 .0380 2 1.00 3.32 .0381 2 1.00 3.20 .0382 2 1.00 3.20 .0383 2 1.00 3.20 .0384 2 1.00 3.22 .0385 2 1.00 3.02 .0386 2 1.00 3.30 .0387 2 1.00 3.34 .0388 2 1.00 3.32 .0389 2 1.00 3.29 .0390 2 1.00 3.30 .0391 2 1.00 3.54 .0392 2 1.00 3.19 .0393 2 1.00 3.42 .0394 2 1.00 3.48 .0395 2 1.00 3.41 .0396 2 1.00 3.42 .0397 2 1.00 3.47 .0398 2 1.00 3.63 .0399 2 1.00 3.70 .0400 2 1.00 2.98 .0401 2 1.00 3.12 .0402 2 1.00 3.04 .0403 3 1.00 3.07 .0404 2 1.00 2.93 .0405 2 1.00 2.93 .0406 2 1.00 2.97 .0407 2 1.00 3.09 .0408 2 1.00 3.08 .0409 2 1.00 3.08 .0410 3 1.00 3.09 .0411 2 1.00 3.17 .0412 2 1.00 3.03 .0413 2 1.00 3.07 .0414 2 1.00 3.01 .0415 2 1.00 3.06 .0416 2 1.00 2.96 .0417 2 1.00 3.15 .0418 2 1.00 3.09 .0419 2 1.00 3.09 .0420 2 1.00 3.11 .0421 2 1.00 3.03 .0422 2 1.00 2.99 .0423 2 1.00 3.01 .0424 2 1.00 2.96 .0425 2 1.00 3.12 .0426 2 1.00 2.91 .0427 2 1.00 3.12 .0428 2 1.00 2.96 .0429 2 1.00 2.96 .0430 2 1.00 3.03 .0431 2 1.00 2.88 .0432 2 1.00 2.93 .0433 2 1.00 3.00 .0434 2 1.00 2.98 .0435 2 1.00 3.00 .0436 2 1.00 2.91 .0437 2 1.00 3.08 .0438 2 1.00 2.99 .0439 2 1.00 3.03 .0440 2 1.00 3.16 .0441 2 1.00 2.96 .0442 2 1.00 3.07 .0443 2 1.00 2.94 .0444 2 1.00 2.94 .0445 2 1.00 2.85 .0446 3 1.00 2.97 .0447 2 1.00 3.15 .0448 2 1.00 2.90 .0449 2 1.00 2.91 .0450 2 1.00 2.84 .0451 2 1.00 2.88 .0452 2 1.00 3.01 .0453 2 1.00 2.86 .0454 2 1.00 2.87 .0455 2 1.00 2.95 .0456 2 1.00 2.81 .0457 2 1.00 2.94 .0458 2 1.00 2.86 .0459 2 1.00 2.78 .0460 2 1.00 2.86 .0461 2 1.00 2.87 .0462 2 1.00 2.93 .0463 2 1.00 2.91 .0464 2 1.00 2.92 .0465 2 1.00 2.68 .0466 2 1.00 2.89 .0467 2 1.00 2.94 .0468 2 1.00 2.77 .0469 2 1.00 2.83 .0470 2 1.00 2.83 .0471 2 1.00 2.69 .0472 2 1.00 2.79 .0473 2 1.00 2.86 .0474 2 1.00 2.88 .0475 2 1.00 2.83 .0476 2 1.00 2.73 .0477 2 1.00 2.93 .0478 2 1.00 2.83 .0479 2 1.00 2.97 .0480 2 1.00 2.68 .0481 2 1.00 2.74 .0482 2 1.00 2.81 .0483 2 1.00 2.62 .0484 2 1.00 2.83 .0485 2 1.00 2.89 .0486 2 1.00 2.63 .0487 2 1.00 2.72 .0488 2 1.00 3.09 .0489 2 1.00 2.84 .0490 2 1.00 3.12 .0491 2 1.00 2.87 .0492 2 1.00 2.81 .0493 2 1.00 2.91 .0494 2 1.00 2.77 .0495 2 1.00 2.76 .0496 2 1.00 2.88 .0497 2 1.00 2.79 .0498 2 1.00 2.97 .0499 2 1.00 2.82 .0500 2 1.00 2.89 .0501 2 1.00 3.00 .0502 2 1.00 2.92 .0503 2 1.00 2.82 .0504 2 1.00 2.87 .0505 2 1.00 2.89 .0506 2 1.00 2.92 .0507 2 1.00 2.80 .0508 2 1.00 2.81 .0509 2 1.00 2.99 .0510 2 1.00 2.97 .0511 2 1.00 2.91 .0512 2 1.00 2.89 .0513 2 1.00 2.88 .0514 2 1.00 2.99 .0515 2 1.00 3.21 .0516 2 1.00 3.10 .0517 2 1.00 2.99 .0518 2 1.00 3.00 .0519 2 1.00 2.98 .0520 2 1.00 3.37 .0521 2 1.00 3.28 .0522 2 1.00 2.96 .0523 2 1.00 3.10 .0524 2 1.00 3.31 .0525 2 1.00 3.13 .0526 2 1.00 3.18 .0527 2 1.00 3.21 .0528 2 1.00 3.38 .0529 2 1.00 3.23 .0530 2 1.00 3.13 .0531 2 1.00 3.47 .0532 2 1.00 3.26 .0533 2 1.00 3.10 .0534 2 1.00 3.25 .0535 2 1.00 3.38 .0536 2 1.00 3.27 .0537 2 1.00 3.27 .0538 1 1.00 3.79 .0539 1 1.00 3.84 .0540 1 1.00 3.54 .0541 1 1.00 3.66 .0542 1 1.00 3.80 .0543 2 1.00 3.86 .0544 1 1.00 3.79 .0545 1 1.00 3.76 .0546 1 1.00 3.77 .0547 2 1.00 3.74 .0548 1 1.00 4.17 .0549 1 1.00 3.66 .0550 1 1.00 3.89 .0551 1 1.00 3.85 .0552 1 1.00 3.69 .0553 1 1.00 3.89 .0554 1 1.00 3.75 .0555 1 1.00 3.87 .0556 1 1.00 3.82 .0557 1 1.00 3.77 .0558 1 1.00 3.81 .0559 1 1.00 3.89 .0560 1 1.00 3.78 .0561 1 1.00 3.74 .0562 1 1.00 3.88 .0563 1 1.00 3.79 .0564 1 1.00 3.81 .0565 1 1.00 3.76 .0566 1 1.00 3.95 .0567 1 1.00 4.00 .0568 1 1.00 4.08 .0569 1 1.00 3.98 .0570 1 1.00 3.92 .0571 1 1.00 3.89 .0572 1 1.00 4.10 .0573 1 1.00 3.81 .0574 1 1.00 3.84 .0575 1 1.00 3.94 .0576 1 1.00 4.02 .0577 1 1.00 3.84 .0578 1 1.00 3.95 .0579 1 1.00 3.91 .0580 1 1.00 4.46 .0581 1 1.00 3.98 .0582 1 1.00 3.99 .0583 1 1.00 3.90 .0584 1 1.00 4.03 .0585 1 1.00 4.19 .0586 1 1.00 4.10 .0587 1 1.00 4.02 .0588 1 1.00 3.98 .0589 1 1.00 4.12 .0590 1 1.00 4.07 .0591 1 1.00 4.20 .0592 1 1.00 4.14 .0593 1 1.00 4.11 .0594 1 1.00 4.26 .0595 1 1.00 4.02 .0596 1 1.00 4.09 .0597 1 1.00 4.27 .0598 1 1.00 4.17 .0599 1 1.00 4.07 .0600 1 1.00 4.37 .0601 1 1.00 4.20 .0602 1 1.00 4.08 .0603 1 1.00 4.42 .0604 1 1.00 4.17 .0605 1 1.00 3.95 .0606 1 1.00 4.16 .0607 1 1.00 4.26 .0608 1 1.00 4.45 .0609 1 1.00 4.41 .0610 1 1.00 4.14 .0611 1 1.00 4.26 .0612 1 1.00 4.30 .0613 1 1.00 4.35 .0614 1 1.00 4.43 .0615 1 1.00 4.12 .0616 1 1.00 4.39 .0617 1 1.00 4.47 .0618 1 1.00 4.60 .0619 1 1.00 4.33 .0620 1 1.00 4.08 .0621 1 1.00 4.34 .0622 1 1.00 4.27 .0623 1 1.00 4.43 .0624 1 1.00 4.55 .0625 1 1.00 4.51 .0626 1 1.00 4.46 .0627 1 1.00 4.56 .0628 1 1.00 4.42 .0629 1 1.00 4.37 .0630 1 1.00 4.37 .0631 1 1.00 4.56 .0632 1 1.00 4.48 .0633 4 1.00 4.92 .0634 1 1.00 4.81 .0635 1 1.00 4.84 .0636 1 1.00 5.18 .0637 1 1.00 4.69 .0638 1 1.00 4.77 .0639 1 1.00 4.56 .0640 1 1.00 4.67 .0641 1 1.00 4.69 .0642 1 1.00 4.78 .0643 1 1.00 5.20 .0644 1 1.00 5.09 .0645 1 1.00 4.79 .0646 1 1.00 4.74 .0647 1 1.00 4.74 .0648 1 1.00 4.96 .0649 1 1.00 4.86 .0650 1 1.00 5.00 .0651 1 1.00 4.96 .0652 1 1.00 5.21 .0653 3 1.00 4.89 .0654 1 1.00 5.51 .0655 1 1.00 5.26 .0656 1 1.00 4.96 .0657 1 1.00 5.03 .0658 1 1.00 5.16 .0659 1 1.00 5.04 .0660 1 1.00 5.02 .0661 1 1.00 5.12 .0662 1 1.00 5.25 .0663 1 1.00 5.40 .0664 1 1.00 5.26 .0665 1 1.00 5.18 .0666 1 1.00 5.41 .0667 1 1.00 5.32 .0668 1 1.00 5.34 .0669 1 1.00 5.38 .0670 1 1.00 5.45 .0671 1 1.00 5.29 .0672 1 1.00 5.45 .0673 1 1.00 5.26 .0674 1 1.00 5.37 .0675 1 1.00 5.28 .0676 1 1.00 5.48 .0677 1 1.00 5.52 .0678 1 1.00 5.62 .0679 1 1.00 5.51 .0680 1 1.00 5.81 .0681 1 1.00 5.62 .0682 1 1.00 5.43 .0683 1 1.00 5.43 .0684 1 1.00 5.50 .0685 1 1.00 5.75 .0686 1 1.00 5.70 .0687 1 1.00 5.64 .0688 1 1.00 6.48 .0689 1 1.00 5.83 .0690 1 1.00 5.79 .0691 1 1.00 5.83 .0692 1 1.00 5.71 .0693 1 1.00 5.64 .0694 1 1.00 6.00 .0695 1 1.00 5.75 .0696 1 1.00 5.88 .0697 1 1.00 5.87 .0698 1 1.00 6.08 .0699 1 1.00 5.86 .0700 1 1.00 6.00 .0701 1 1.00 6.08 .0702 1 1.00 5.99 .0703 1 1.00 6.02 .0704 1 1.00 5.74 .0705 1 1.00 5.88 .0706 1 1.00 6.06 .0707 1 1.00 6.18 .0708 1 1.00 6.03 .0709 1 1.00 5.95 .0710 1 1.00 6.09 .0711 1 1.00 6.04 .0712 1 1.00 6.16 .0713 1 1.00 6.06 .0714 1 1.00 6.16 .0715 1 1.00 6.06 .0716 1 1.00 6.05 .0717 1 1.00 6.10 .0718 1 1.00 6.16 .0719 1 1.00 6.20 .0720 1 1.00 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1 1.00 4.44 .1998 1 1.00 4.55 .1999 1 1.00 4.33 .2000 1 1.00 4.53 .2001 1 1.00 4.41 .2002 1 1.00 4.42 .2003 1 1.00 4.43 .2004 1 1.00 4.59 .2005 1 1.00 4.55 .2006 1 1.00 4.74 .2007 1 1.00 4.64 .2008 1 1.00 4.58 .2009 2 1.00 4.61 .2010 2 1.00 4.54 .2011 1 1.00 4.63 .2012 1 1.00 4.69 .2013 1 1.00 4.57 .2014 1 1.00 4.76 .2015 1 1.00 4.78 .2016 1 1.00 4.74 .2017 1 1.00 4.72 .2018 1 1.00 4.70 .2019 1 1.00 4.74 .2020 1 1.00 4.62 .2021 1 1.00 4.76 .2022 1 1.00 4.50 .2023 1 1.00 4.63 .2024 1 1.00 4.57 .2025 1 1.00 4.53 .2026 1 1.00 4.46 .2027 1 1.00 4.51 .2028 1 1.00 4.44 .2029 1 1.00 4.34 .2030 1 1.00 4.40 .2031 1 1.00 4.30 .2032 1 1.00 4.27 .2033 1 1.00 4.25 .2034 1 1.00 4.05 .2035 1 1.00 4.10 .2036 1 1.00 4.27 .2037 1 1.00 4.20 .2038 1 1.00 4.17 .2039 1 1.00 4.20 .2040 1 1.00 4.30 .2041 1 1.00 4.48 .2042 1 1.00 4.28 .2043 1 1.00 4.23 .2044 1 1.00 4.29 .2045 1 1.00 4.25 .2046 1 1.00 4.24 .2047 1 1.00 4.26 EXTRACT_IMAGE: r2: masked 503 pixels TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITFLATWIDTH: r2: Median spatial widths = 0.92 0.90 0.98 0.91 pix (LL LR UL UR) SPCALIB: r2: Using Cubic, median chi squareds: vs SPCALIB: r2: Found 0 bright pixels in extracted flat sdR-r2-00034756.fit SPCALIB: r2: Extracting arc # 1 of 2 SPCALIB: r2: Reading arc sdR-r2-00034751.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.50278 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 469.265 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.67978 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1320.75 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1300. DN is 5 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Fraction of bad pixels in arc = 4.64916e-05 SPCALIB: r2: Arc sdR-r2-00034751.fit paired with flat sdR-r2-00034750.fit MATCH_TRACE: r2: Iteration: 0 Pixels Rejected: 13705 Finished? 0 MATCH_TRACE: r2: Iteration: 1 Pixels Rejected: 415 Finished? 0 MATCH_TRACE: r2: Iteration: 2 Pixels Rejected: 104 Finished? 0 MATCH_TRACE: r2: Iteration: 3 Pixels Rejected: 38 Finished? 0 MATCH_TRACE: r2: Iteration: 4 Pixels Rejected: 14 Finished? 0 MATCH_TRACE: r2: Iteration: 5 Pixels Rejected: 4 Finished? 0 MATCH_TRACE: r2: Iteration: 6 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r2: Iteration: 7 Pixels Rejected: 0 Finished? 1 SPCALIB: r2: Shifting traces with match_trace 0.00109863 SPCALIB: r2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.90 0.00 .0001 0 0.90 0.00 .0002 0 0.90 0.00 .0003 1 0.90 1.30 .0004 1 0.90 1.50 .0005 1 0.90 1.41 .0006 1 0.90 1.56 .0007 1 0.90 1.70 .0008 1 0.90 1.64 .0009 1 0.90 1.79 .0010 1 0.90 1.79 .0011 1 0.90 2.13 .0012 1 0.90 2.57 .0013 1 0.90 2.92 .0014 1 0.90 2.75 .0015 1 0.90 2.94 .0016 1 0.90 3.02 .0017 1 0.90 2.87 .0018 1 0.90 2.90 .0019 1 0.90 2.79 .0020 1 0.90 2.59 .0021 1 0.90 2.63 .0022 1 0.90 2.67 .0023 1 0.90 2.74 .0024 1 0.90 2.67 .0025 1 0.90 2.80 .0026 1 0.91 2.59 .0027 1 0.91 2.64 .0028 1 0.91 2.52 .0029 1 0.91 2.43 .0030 1 0.91 2.85 .0031 1 0.91 3.42 .0032 1 0.91 2.85 .0033 1 0.91 2.53 .0034 1 0.91 2.31 .0035 1 0.91 2.13 .0036 1 0.91 1.84 .0037 1 0.91 1.74 .0038 1 0.91 1.80 .0039 1 0.91 1.64 .0040 1 0.91 1.77 .0041 1 0.91 1.81 .0042 1 0.91 1.84 .0043 1 0.91 1.93 .0044 1 0.91 2.00 .0045 1 0.91 2.01 .0046 1 0.91 1.89 .0047 1 0.91 1.80 .0048 1 0.91 1.84 .0049 1 0.91 1.75 .0050 1 0.91 1.83 .0051 1 0.91 2.49 .0052 1 0.91 1.91 .0053 1 0.91 1.63 .0054 1 0.91 1.94 .0055 1 0.91 2.37 .0056 1 0.91 2.34 .0057 1 0.91 2.55 .0058 1 0.91 2.84 .0059 1 0.91 3.24 .0060 1 0.91 2.86 .0061 1 0.91 3.07 .0062 1 0.91 2.77 .0063 1 0.91 2.29 .0064 1 0.91 2.18 .0065 2 0.91 2.10 .0066 1 0.91 1.91 .0067 1 0.91 1.75 .0068 1 0.91 1.78 .0069 1 0.91 1.87 .0070 1 0.91 2.20 .0071 1 0.91 2.24 .0072 1 0.91 2.27 .0073 1 0.91 2.24 .0074 1 0.91 2.26 .0075 1 0.91 2.58 .0076 2 0.91 2.78 .0077 2 0.91 2.70 .0078 2 0.91 2.89 .0079 2 0.91 2.83 .0080 1 0.91 3.09 .0081 1 0.91 2.71 .0082 1 0.91 2.77 .0083 1 0.91 3.04 .0084 1 0.91 2.84 .0085 1 0.91 3.19 .0086 1 0.91 3.37 .0087 1 0.91 3.37 .0088 1 0.91 3.50 .0089 1 0.91 3.07 .0090 1 0.91 3.04 .0091 1 0.91 2.92 .0092 1 0.91 2.96 .0093 1 0.91 3.71 .0094 1 0.91 4.16 .0095 1 0.91 2.66 .0096 1 0.91 2.32 .0097 1 0.91 2.18 .0098 3 0.91 1.39 .0099 3 0.91 1.30 .0100 2 0.91 1.28 .0101 1 0.91 1.29 .0102 1 0.91 1.16 .0103 1 0.91 1.18 .0104 1 0.91 1.25 .0105 1 0.91 1.20 .0106 1 0.91 1.23 .0107 1 0.91 1.31 .0108 1 0.91 1.32 .0109 1 0.91 1.34 .0110 1 0.91 1.24 .0111 1 0.91 1.19 .0112 1 0.91 1.34 .0113 1 0.91 1.52 .0114 1 0.91 1.70 .0115 1 0.91 1.62 .0116 1 0.91 1.86 .0117 1 0.91 1.61 .0118 1 0.91 1.58 .0119 1 0.91 1.45 .0120 1 0.91 1.30 .0121 1 0.91 1.40 .0122 1 0.91 1.29 .0123 1 0.91 1.27 .0124 1 0.91 1.16 .0125 1 0.91 1.17 .0126 1 0.91 1.16 .0127 1 0.91 1.23 .0128 1 0.91 1.31 .0129 1 0.91 1.27 .0130 1 0.91 1.22 .0131 1 0.91 1.36 .0132 1 0.91 1.34 .0133 1 0.91 1.35 .0134 2 0.91 1.34 .0135 2 0.91 1.30 .0136 2 0.91 1.35 .0137 2 0.91 1.29 .0138 1 0.91 1.41 .0139 1 0.91 1.32 .0140 1 0.91 1.45 .0141 1 0.91 1.69 .0142 1 0.91 2.66 .0143 1 0.91 3.76 .0144 1 0.91 4.01 .0145 1 0.91 4.12 .0146 1 0.91 4.85 .0147 1 0.91 4.24 .0148 1 0.91 4.11 .0149 1 0.91 4.10 .0150 1 0.91 3.61 .0151 1 0.91 3.72 .0152 1 0.91 3.48 .0153 1 0.91 2.97 .0154 1 0.91 2.57 .0155 1 0.91 2.66 .0156 1 0.91 3.73 .0157 1 0.91 6.02 .0158 1 0.91 6.87 .0159 1 0.91 7.44 .0160 1 0.91 8.15 .0161 1 0.91 9.13 .0162 1 0.91 8.65 .0163 1 0.91 8.91 .0164 2 0.91 8.28 .0165 2 0.91 7.61 .0166 2 0.91 7.12 .0167 1 0.91 7.86 .0168 1 0.91 6.53 .0169 1 0.91 6.57 .0170 1 0.91 6.80 .0171 1 0.91 7.38 .0172 1 0.91 8.06 .0173 1 0.91 8.58 .0174 1 0.91 8.51 .0175 1 0.91 8.31 .0176 1 0.91 8.19 .0177 1 0.91 8.36 .0178 1 0.91 8.25 .0179 2 0.91 8.25 .0180 2 0.91 10.18 .0181 2 0.91 8.41 .0182 1 0.91 8.50 .0183 1 0.91 7.11 .0184 1 0.91 6.88 .0185 1 0.91 6.90 .0186 1 0.91 7.77 .0187 1 0.91 9.29 .0188 1 0.91 11.89 .0189 1 0.91 13.57 .0190 1 0.91 13.90 .0191 1 0.91 14.65 .0192 1 0.91 15.76 .0193 1 0.91 15.18 .0194 1 0.91 18.27 .0195 1 0.91 17.99 .0196 1 0.91 11.60 .0197 1 0.91 10.19 .0198 1 0.91 10.20 .0199 2 0.91 6.19 .0200 3 0.91 5.50 .0201 2 0.91 6.17 .0202 1 0.91 7.36 .0203 1 0.91 8.88 .0204 1 0.91 9.85 .0205 1 0.91 9.69 .0206 1 0.91 10.78 .0207 1 0.91 12.24 .0208 1 0.91 11.25 .0209 1 0.91 10.68 .0210 1 0.91 11.65 .0211 2 0.91 11.00 .0212 1 0.91 11.71 .0213 2 0.91 12.92 .0214 1 0.91 12.62 .0215 1 0.91 12.06 .0216 1 0.91 12.88 .0217 1 0.91 14.16 .0218 1 0.91 14.41 .0219 1 0.91 14.93 .0220 1 0.91 14.86 .0221 1 0.91 13.70 .0222 1 0.91 13.32 .0223 1 0.91 11.92 .0224 1 0.91 12.90 .0225 1 0.91 17.03 .0226 1 0.91 16.75 .0227 1 0.91 10.15 .0228 1 0.91 8.33 .0229 1 0.91 8.34 .0230 1 0.91 3.84 .0231 1 0.91 3.82 .0232 1 0.91 4.53 .0233 1 0.91 4.01 .0234 1 0.91 3.91 .0235 1 0.91 3.37 .0236 1 0.91 3.53 .0237 1 0.91 3.41 .0238 1 0.91 4.40 .0239 1 0.91 5.84 .0240 1 0.91 4.15 .0241 1 0.91 4.73 .0242 1 0.91 3.39 .0243 1 0.91 2.63 .0244 1 0.91 2.40 .0245 1 0.91 2.07 .0246 1 0.91 1.96 .0247 1 0.91 1.96 .0248 1 0.91 1.73 .0249 1 0.91 1.66 .0250 1 0.91 1.73 .0251 1 0.91 1.83 .0252 1 0.91 1.95 .0253 1 0.91 2.03 .0254 1 0.91 2.07 .0255 1 0.91 1.92 .0256 1 0.91 2.09 .0257 1 0.91 2.21 .0258 1 0.91 2.17 .0259 1 0.91 2.25 .0260 1 0.91 2.30 .0261 1 0.91 2.35 .0262 3 0.91 2.39 .0263 1 0.91 2.52 .0264 1 0.91 2.46 .0265 1 0.91 2.48 .0266 1 0.91 2.89 .0267 1 0.91 2.92 .0268 1 0.91 2.96 .0269 1 0.91 3.80 .0270 1 0.91 5.49 .0271 1 0.91 6.20 .0272 1 0.91 6.46 .0273 1 0.91 7.75 .0274 1 0.91 8.93 .0275 1 0.91 7.68 .0276 1 0.91 8.04 .0277 1 0.91 5.83 .0278 1 0.91 5.45 .0279 1 0.91 4.90 .0280 1 0.91 4.58 .0281 1 0.91 3.97 .0282 1 0.91 4.17 .0283 1 0.91 4.33 .0284 1 0.91 5.15 .0285 1 0.91 5.39 .0286 1 0.91 5.46 .0287 1 0.91 5.38 .0288 1 0.91 5.96 .0289 1 0.91 6.23 .0290 1 0.91 5.60 .0291 1 0.91 6.55 .0292 1 0.91 7.09 .0293 1 0.91 7.18 .0294 1 0.91 7.39 .0295 1 0.91 7.84 .0296 1 0.91 8.24 .0297 1 0.91 8.84 .0298 1 0.91 10.33 .0299 1 0.91 10.26 .0300 1 0.91 10.50 .0301 1 0.91 9.94 .0302 1 0.91 8.63 .0303 1 0.91 8.59 .0304 1 0.91 7.90 .0305 1 0.91 8.31 .0306 1 0.91 11.23 .0307 1 0.91 7.39 .0308 1 0.91 7.04 .0309 1 0.91 4.83 .0310 1 0.91 3.57 .0311 1 0.91 2.67 .0312 1 0.91 2.68 .0313 1 0.91 3.48 .0314 1 0.91 5.57 .0315 1 0.91 7.63 .0316 1 0.91 8.84 .0317 1 0.91 9.68 .0318 1 0.91 11.79 .0319 1 0.91 10.80 .0320 1 0.91 10.71 .0321 1 0.91 9.94 .0322 1 0.91 9.22 .0323 1 0.91 9.22 .0324 1 0.91 10.10 .0325 3 0.91 8.40 .0326 1 0.91 8.50 .0327 1 0.91 7.98 .0328 1 0.91 8.46 .0329 1 0.91 8.78 .0330 1 0.91 8.70 .0331 1 0.91 9.94 .0332 1 0.91 9.51 .0333 1 0.91 10.13 .0334 1 0.91 8.50 .0335 1 0.91 9.09 .0336 2 0.91 8.90 .0337 2 0.91 8.97 .0338 2 0.91 9.53 .0339 1 0.91 10.42 .0340 1 0.91 10.18 .0341 1 0.91 10.95 .0342 1 0.91 12.68 .0343 1 0.91 12.30 .0344 1 0.91 12.61 .0345 1 0.91 13.43 .0346 1 0.91 15.08 .0347 1 0.91 15.51 .0348 1 0.91 15.63 .0349 1 0.91 17.43 .0350 1 0.91 24.56 .0351 1 0.91 17.27 .0352 1 0.91 16.94 .0353 1 0.91 12.22 .0354 1 0.91 9.24 .0355 1 0.91 8.32 .0356 1 0.91 7.69 .0357 1 0.91 9.79 .0358 1 0.91 16.78 .0359 1 0.91 24.71 .0360 1 0.91 29.33 .0361 1 0.91 30.82 .0362 1 0.91 35.65 .0363 1 0.91 36.46 .0364 1 0.91 37.11 .0365 1 0.91 34.29 .0366 1 0.91 31.32 .0367 1 0.91 32.36 .0368 2 0.91 30.84 .0369 2 0.91 27.73 .0370 1 0.91 30.51 .0371 1 0.91 30.64 .0372 1 0.91 34.07 .0373 1 0.91 37.23 .0374 1 0.91 37.11 .0375 1 0.91 36.60 .0376 1 0.91 38.65 .0377 1 0.91 38.22 .0378 1 0.91 34.25 .0379 1 0.91 39.05 .0380 2 0.91 39.02 .0381 2 0.91 44.34 .0382 2 0.91 42.87 .0383 1 0.91 45.07 .0384 1 0.91 40.53 .0385 1 0.91 45.22 .0386 1 0.91 45.53 .0387 1 0.91 43.63 .0388 1 0.91 44.07 .0389 1 0.91 41.03 .0390 1 0.91 38.21 .0391 1 0.91 36.62 .0392 1 0.91 36.47 .0393 1 0.91 43.64 .0394 1 0.91 45.58 .0395 1 0.91 23.46 .0396 1 0.91 21.42 .0397 1 0.91 20.84 .0398 1 0.91 5.70 .0399 1 0.91 4.10 .0400 1 0.91 3.50 .0401 1 0.91 3.11 .0402 1 0.91 2.48 .0403 1 0.91 2.23 .0404 2 0.91 1.53 .0405 2 0.91 1.46 .0406 1 0.91 1.54 .0407 1 0.91 1.47 .0408 1 0.91 1.45 .0409 1 0.91 1.44 .0410 1 0.91 1.38 .0411 1 0.91 1.38 .0412 1 0.91 1.33 .0413 1 0.91 1.32 .0414 1 0.91 1.43 .0415 3 0.91 1.53 .0416 1 0.91 1.37 .0417 1 0.91 1.43 .0418 2 0.91 1.36 .0419 1 0.91 1.26 .0420 1 0.91 1.27 .0421 1 0.91 1.21 .0422 1 0.91 1.18 .0423 1 0.91 1.29 .0424 1 0.91 1.95 .0425 1 0.91 4.17 .0426 1 0.91 8.28 .0427 1 0.91 10.49 .0428 1 0.91 11.13 .0429 1 0.91 13.51 .0430 1 0.91 13.73 .0431 1 0.91 13.26 .0432 1 0.91 13.75 .0433 1 0.91 11.20 .0434 1 0.91 10.51 .0435 1 0.91 10.37 .0436 1 0.91 8.86 .0437 1 0.91 9.14 .0438 1 0.91 9.67 .0439 1 0.91 11.07 .0440 1 0.91 11.39 .0441 1 0.91 12.40 .0442 1 0.91 13.35 .0443 1 0.91 14.77 .0444 1 0.91 14.81 .0445 1 0.91 13.69 .0446 1 0.91 18.40 .0447 2 0.91 16.88 .0448 2 0.91 17.31 .0449 2 0.91 18.25 .0450 1 0.91 20.27 .0451 1 0.91 19.74 .0452 1 0.91 22.08 .0453 1 0.91 23.74 .0454 1 0.91 20.73 .0455 2 0.91 20.46 .0456 1 0.91 18.82 .0457 1 0.91 17.10 .0458 1 0.91 16.57 .0459 1 0.91 17.62 .0460 1 0.91 23.81 .0461 1 0.91 14.74 .0462 1 0.91 14.23 .0463 1 0.91 9.74 .0464 2 0.91 5.56 .0465 2 0.91 4.29 .0466 3 0.91 4.15 .0467 1 0.91 4.61 .0468 1 0.91 4.32 .0469 1 0.91 5.46 .0470 1 0.91 5.16 .0471 1 0.91 4.96 .0472 2 0.91 5.30 .0473 1 0.91 4.63 .0474 1 0.91 4.27 .0475 1 0.91 4.34 .0476 1 0.91 4.62 .0477 1 0.91 6.07 .0478 1 0.91 4.21 .0479 1 0.91 4.09 .0480 1 0.91 3.25 .0481 1 0.91 1.84 .0482 1 0.91 1.78 .0483 1 0.91 1.97 .0484 1 0.91 2.66 .0485 1 0.91 4.25 .0486 1 0.91 5.35 .0487 1 0.91 5.16 .0488 1 0.91 5.79 .0489 1 0.91 5.74 .0490 1 0.91 5.53 .0491 1 0.91 4.96 .0492 1 0.91 5.06 .0493 2 0.91 4.33 .0494 1 0.91 4.08 .0495 1 0.91 3.65 .0496 1 0.91 3.75 .0497 1 0.91 4.22 .0498 1 0.91 4.90 .0499 1 0.91 4.86 .0500 1 0.91 4.55 .0501 1 0.91 5.02 .0502 1 0.91 5.50 .0503 1 0.91 5.00 .0504 1 0.91 4.61 .0505 1 0.91 5.66 .0506 2 0.91 5.49 .0507 2 0.91 6.08 .0508 2 0.91 5.95 .0509 1 0.91 6.33 .0510 1 0.91 7.02 .0511 1 0.91 7.94 .0512 1 0.91 7.44 .0513 1 0.91 7.10 .0514 1 0.91 6.86 .0515 1 0.91 6.11 .0516 1 0.91 5.39 .0517 1 0.91 5.60 .0518 1 0.91 7.05 .0519 1 0.91 7.64 .0520 1 0.91 5.69 .0521 1 0.91 3.21 .0522 1 0.91 3.15 .0523 1 0.91 1.32 .0524 1 0.91 1.28 .0525 1 0.91 1.15 .0526 1 0.91 1.21 .0527 1 0.91 1.15 .0528 1 0.91 1.17 .0529 1 0.90 1.12 .0530 1 0.90 1.16 .0531 1 0.90 1.12 .0532 2 0.90 1.09 .0533 2 0.90 1.53 .0534 1 0.90 2.53 .0535 1 0.90 5.04 .0536 1 0.90 7.53 .0537 1 0.90 8.36 .0538 1 0.90 9.43 .0539 1 0.90 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1.19 .1757 1 0.95 1.08 .1758 1 0.95 1.24 .1759 1 0.95 1.25 .1760 1 0.95 1.19 .1761 1 0.95 1.25 .1762 2 0.95 1.23 .1763 5 0.95 1.24 .1764 6 0.95 1.12 .1765 2 0.95 1.14 .1766 3 0.95 1.32 .1767 1 0.95 1.24 .1768 1 0.95 1.13 .1769 1 0.95 1.15 .1770 2 0.95 1.13 .1771 2 0.95 1.32 .1772 1 0.95 1.15 .1773 1 0.95 1.14 .1774 1 0.95 1.29 .1775 1 0.95 1.20 .1776 3 0.95 1.15 .1777 1 0.95 1.29 .1778 1 0.95 1.22 .1779 1 0.95 1.30 .1780 2 0.95 1.30 .1781 1 0.95 1.37 .1782 1 0.95 1.35 .1783 1 0.95 1.49 .1784 2 0.95 1.51 .1785 1 0.95 1.50 .1786 1 0.95 1.49 .1787 1 0.95 1.56 .1788 1 0.95 1.51 .1789 1 0.95 1.51 .1790 1 0.95 1.49 .1791 1 0.95 1.49 .1792 1 0.95 1.49 .1793 1 0.95 1.58 .1794 1 0.95 1.54 .1795 1 0.95 1.59 .1796 1 0.95 1.51 .1797 2 0.95 1.42 .1798 2 0.95 1.39 .1799 1 0.95 1.39 .1800 1 0.95 1.47 .1801 1 0.95 1.52 .1802 1 0.95 1.63 .1803 1 0.96 1.51 .1804 1 0.96 1.39 .1805 1 0.96 1.28 .1806 1 0.96 1.27 .1807 1 0.96 1.26 .1808 1 0.96 1.14 .1809 1 0.96 1.19 .1810 1 0.96 1.13 .1811 1 0.96 1.39 .1812 2 0.96 1.17 .1813 3 0.96 1.12 .1814 3 0.96 1.31 .1815 1 0.96 1.21 .1816 1 0.96 1.26 .1817 1 0.96 1.19 .1818 1 0.96 1.20 .1819 2 0.96 1.39 .1820 1 0.96 1.19 .1821 1 0.96 1.27 .1822 1 0.96 1.17 .1823 1 0.96 1.21 .1824 1 0.96 1.22 .1825 1 0.96 1.35 .1826 2 0.96 1.38 .1827 1 0.96 1.19 .1828 3 0.96 1.29 .1829 3 0.96 1.21 .1830 3 0.96 1.19 .1831 1 0.96 1.28 .1832 1 0.96 1.22 .1833 1 0.96 1.32 .1834 1 0.96 1.36 .1835 2 0.96 1.26 .1836 1 0.96 1.29 .1837 1 0.96 1.18 .1838 2 0.96 1.20 .1839 1 0.96 1.25 .1840 1 0.96 1.22 .1841 3 0.96 1.37 .1842 3 0.96 1.29 .1843 1 0.96 1.28 .1844 1 0.96 1.23 .1845 1 0.96 1.15 .1846 1 0.96 1.19 .1847 1 0.96 1.26 .1848 1 0.96 1.19 .1849 1 0.96 1.14 .1850 1 0.96 1.14 .1851 1 0.96 1.23 .1852 2 0.96 1.30 .1853 2 0.96 1.15 .1854 1 0.96 1.16 .1855 1 0.96 1.17 .1856 1 0.96 1.17 .1857 1 0.96 1.08 .1858 1 0.96 1.10 .1859 1 0.96 1.11 .1860 1 0.96 1.10 .1861 1 0.96 1.19 .1862 1 0.96 1.24 .1863 1 0.96 1.19 .1864 1 0.96 1.21 .1865 1 0.96 1.27 .1866 1 0.96 1.28 .1867 1 0.96 1.19 .1868 1 0.96 1.15 .1869 1 0.96 1.22 .1870 1 0.96 1.16 .1871 1 0.96 1.14 .1872 1 0.96 1.14 .1873 1 0.96 1.26 .1874 1 0.96 1.14 .1875 1 0.96 1.19 .1876 1 0.96 1.19 .1877 1 0.96 1.27 .1878 2 0.96 1.25 .1879 1 0.96 1.10 .1880 1 0.96 1.19 .1881 1 0.96 1.15 .1882 1 0.96 1.13 .1883 1 0.96 1.18 .1884 2 0.96 1.19 .1885 1 0.96 1.15 .1886 1 0.96 1.16 .1887 1 0.96 1.19 .1888 1 0.96 1.28 .1889 1 0.96 1.16 .1890 1 0.96 1.17 .1891 1 0.96 1.14 .1892 1 0.96 1.19 .1893 1 0.96 1.14 .1894 1 0.96 1.19 .1895 2 0.96 1.28 .1896 1 0.96 1.17 .1897 1 0.96 1.19 .1898 2 0.96 1.26 .1899 1 0.96 1.13 .1900 1 0.96 1.12 .1901 1 0.96 1.52 .1902 1 0.96 1.28 .1903 1 0.96 1.10 .1904 1 0.96 1.22 .1905 1 0.96 1.17 .1906 1 0.96 1.13 .1907 1 0.96 1.13 .1908 1 0.96 1.19 .1909 2 0.96 1.12 .1910 1 0.96 1.28 .1911 1 0.96 1.20 .1912 1 0.96 1.16 .1913 1 0.96 1.18 .1914 1 0.96 1.18 .1915 1 0.96 1.13 .1916 1 0.96 1.16 .1917 1 0.96 1.22 .1918 1 0.96 1.23 .1919 1 0.96 1.14 .1920 1 0.96 1.13 .1921 1 0.96 1.17 .1922 1 0.96 1.13 .1923 1 0.96 1.23 .1924 1 0.96 1.09 .1925 1 0.96 1.23 .1926 2 0.96 1.18 .1927 2 0.96 1.20 .1928 1 0.96 1.21 .1929 1 0.96 1.20 .1930 1 0.96 1.19 .1931 1 0.96 1.19 .1932 1 0.96 1.25 .1933 1 0.96 1.16 .1934 1 0.96 1.37 .1935 2 0.96 1.23 .1936 1 0.96 1.05 .1937 1 0.96 1.12 .1938 1 0.96 1.14 .1939 1 0.96 1.18 .1940 1 0.96 1.23 .1941 1 0.96 1.17 .1942 1 0.96 1.09 .1943 1 0.96 1.05 .1944 1 0.96 1.17 .1945 1 0.96 1.14 .1946 1 0.96 1.12 .1947 1 0.96 1.08 .1948 1 0.96 1.18 .1949 1 0.96 1.17 .1950 1 0.96 1.18 .1951 2 0.96 1.16 .1952 1 0.96 1.14 .1953 1 0.96 1.16 .1954 1 0.96 1.16 .1955 1 0.96 1.17 .1956 1 0.96 1.12 .1957 1 0.96 1.18 .1958 1 0.96 1.11 .1959 1 0.96 1.16 .1960 2 0.96 1.23 .1961 2 0.96 1.22 .1962 1 0.96 1.21 .1963 2 0.96 1.29 .1964 1 0.96 1.16 .1965 1 0.96 1.24 .1966 1 0.96 1.26 .1967 1 0.96 1.37 .1968 1 0.96 1.14 .1969 1 0.96 1.17 .1970 1 0.96 1.14 .1971 1 0.96 1.14 .1972 2 0.96 1.19 .1973 1 0.96 1.24 .1974 1 0.96 1.17 .1975 1 0.96 1.10 .1976 1 0.96 1.24 .1977 1 0.96 1.19 .1978 1 0.96 1.20 .1979 1 0.96 1.14 .1980 1 0.96 1.17 .1981 1 0.96 1.19 .1982 1 0.96 1.18 .1983 1 0.95 1.22 .1984 2 0.95 1.13 .1985 1 0.95 1.14 .1986 1 0.95 1.16 .1987 1 0.95 1.22 .1988 1 0.95 1.17 .1989 2 0.95 1.28 .1990 2 0.95 1.27 .1991 1 0.95 1.15 .1992 1 0.95 1.25 .1993 1 0.95 1.29 .1994 2 0.95 1.25 .1995 1 0.95 1.22 .1996 3 0.95 1.23 .1997 3 0.95 1.20 .1998 2 0.95 1.13 .1999 2 0.95 1.11 .2000 1 0.95 1.27 .2001 1 0.95 1.15 .2002 1 0.95 1.19 .2003 1 0.95 1.16 .2004 1 0.95 1.15 .2005 1 0.95 1.19 .2006 1 0.95 1.33 .2007 1 0.95 1.17 .2008 1 0.95 1.20 .2009 1 0.95 1.19 .2010 1 0.95 1.20 .2011 1 0.95 1.21 .2012 1 0.95 1.18 .2013 1 0.95 1.15 .2014 1 0.95 1.11 .2015 1 0.95 1.22 .2016 1 0.95 1.15 .2017 1 0.95 1.22 .2018 1 0.95 1.09 .2019 1 0.95 1.16 .2020 1 0.95 1.15 .2021 1 0.95 1.12 .2022 1 0.95 1.17 .2023 1 0.95 1.11 .2024 1 0.95 1.16 .2025 1 0.95 1.20 .2026 1 0.95 1.18 .2027 1 0.95 1.19 .2028 1 0.95 1.35 .2029 1 0.95 1.21 .2030 1 0.95 1.14 .2031 1 0.95 1.22 .2032 1 0.95 1.20 .2033 1 0.95 1.14 .2034 1 0.95 1.13 .2035 1 0.95 1.19 .2036 3 0.95 1.20 .2037 1 0.95 1.42 .2038 1 0.95 1.18 .2039 1 0.95 1.16 .2040 1 0.95 1.15 .2041 1 0.95 1.22 .2042 1 0.95 1.17 .2043 1 0.95 1.12 .2044 1 0.95 1.14 .2045 1 0.95 1.19 .2046 1 0.95 1.28 .2047 1 0.95 1.16 EXTRACT_IMAGE: r2: masked 318 pixels SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r2: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r2: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Searching about coefficients = 3.86863 0.10078 -0.00438 -0.00022 ARCFIT_ITER: r2: Searching lags from -152 to 152 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Initial wavelength fit = 3.86872 0.10077 -0.00439 -0.00026 ARCFIT_GUESS: r2: Initial correlation = 0.760316 FITARCIMAGE_GLOBAL: r2: Best correlation = 0.760316 FITARCIMAGE_GLOBAL: r2: ASET = 3.86872 0.10077 -0.00439 -0.00026 SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Tracing 35 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Iterating flux-weighted centers . 0 320 0.121 . 1 320 0.123 . 2 320 0.120 . 3 320 0.121 . 4 320 0.123 . 5 320 0.123 . 6 320 0.115 . 7 320 0.112 . 8 320 0.111 . 9 320 0.122 . 10 320 0.118 . 11 320 0.114 . 12 320 0.116 . 13 320 0.116 . 14 320 0.116 . 15 320 0.114 . 16 320 0.116 . 17 320 0.122 . 18 320 0.116 . 19 320 0.112 . 20 320 0.123 . 21 320 0.116 . 22 320 0.122 . 23 320 0.118 . 24 320 0.113 . 25 320 0.113 . 26 320 0.116 . 27 320 0.117 . 28 320 0.121 . 29 320 0.119 . 30 320 0.119 . 31 320 0.121 . 32 320 0.119 . 33 320 0.116 . 34 320 0.123 . 35 320 0.120 . 36 320 0.121 . 37 320 0.125 . 38 320 0.114 . 39 320 0.117 . 40 320 0.125 . 41 320 0.124 . 42 320 0.121 . 43 320 0.121 . 44 320 0.114 . 45 320 0.130 . 46 320 0.132 . 47 320 0.134 . 48 320 0.125 . 49 320 0.136 . 50 320 0.128 . 51 320 0.137 . 52 320 0.121 . 53 320 0.123 . 54 320 0.090 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 55 27 213.88051 10.188581 0.38465598 -0.0000000 25.983355 1 . 55 320 0.132 . 56 320 0.124 . 57 320 0.126 . 58 320 0.116 . 59 320 0.131 . 60 320 0.123 . 61 320 0.117 . 62 320 0.120 . 63 320 0.122 . 64 320 0.119 . 65 320 0.125 . 66 320 0.122 . 67 320 0.124 . 68 320 0.126 . 69 320 0.126 . 70 320 0.119 . 71 320 0.127 . 72 320 0.125 . 73 320 0.121 . 74 320 0.125 . 75 320 0.126 . 76 320 0.129 . 77 320 0.131 . 78 320 0.125 . 79 320 0.132 . 80 320 0.128 . 81 320 0.132 . 82 320 0.125 . 83 320 0.125 . 84 320 0.119 . 85 320 0.132 . 86 320 0.128 . 87 320 0.126 . 88 320 0.123 . 89 320 0.120 . 90 320 0.122 . 91 320 0.132 . 92 320 0.133 . 93 320 0.123 . 94 320 0.124 . 95 320 0.126 . 96 320 0.129 . 97 320 0.124 . 98 320 0.122 . 99 320 0.135 . 100 320 0.122 . 101 320 0.124 . 102 320 0.135 . 103 320 0.125 . 104 320 0.124 . 105 320 0.126 . 106 320 0.121 . 107 320 0.127 . 108 320 0.123 . 109 320 0.121 . 110 320 0.126 . 111 320 0.120 . 112 320 0.118 . 113 320 0.122 . 114 320 0.118 . 115 320 0.124 . 116 320 0.129 . 117 320 0.126 . 118 320 0.127 . 119 320 0.130 . 120 320 0.129 . 121 320 0.130 . 122 320 0.124 . 123 320 0.133 . 124 320 0.128 . 125 320 0.132 . 126 320 0.124 . 127 320 0.127 . 128 320 0.129 . 129 320 0.123 . 130 320 0.123 . 131 320 0.119 . 132 320 0.133 . 133 320 0.127 . 134 320 0.129 . 135 320 0.132 . 136 320 0.129 . 137 320 0.124 . 138 320 0.125 . 139 320 0.127 . 140 320 0.129 . 141 320 0.132 . 142 320 0.131 . 143 320 0.134 . 144 320 0.126 . 145 320 0.131 . 146 320 0.138 . 147 320 0.127 . 148 320 0.123 . 149 320 0.125 . 150 320 0.123 . 151 320 0.123 . 152 320 0.134 . 153 320 0.138 . 154 320 0.138 . 155 320 0.136 . 156 320 0.139 . 157 320 0.144 . 158 320 0.133 . 159 320 0.137 . 160 320 0.135 . 161 320 0.135 . 162 320 0.132 . 163 320 0.126 . 164 320 0.122 . 165 320 0.122 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 166 34 202.34769 0.24117709 . 166 320 0.134 . 167 320 0.131 . 168 320 0.124 . 169 320 0.120 . 170 320 0.135 . 171 320 0.128 . 172 320 0.136 . 173 320 0.140 . 174 320 0.138 . 175 320 0.139 . 176 320 0.134 . 177 320 0.127 . 178 320 0.127 . 179 320 0.130 . 180 320 0.126 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 181 34 176.51221 6.9881684 0.36393107 -0.0000000 18.773397 1 . 181 320 0.132 . 182 320 0.126 . 183 320 0.128 . 184 320 0.109 . 185 320 0.124 . 186 320 0.121 . 187 320 0.125 . 188 320 0.122 . 189 320 0.129 . 190 320 0.126 . 191 320 0.129 . 192 320 0.133 . 193 320 0.128 . 194 320 0.132 . 195 320 0.133 . 196 320 0.129 . 197 320 0.128 . 198 320 0.132 . 199 320 0.129 . 200 320 0.142 . 201 320 0.127 . 202 320 0.134 . 203 320 0.135 . 204 320 0.135 . 205 320 0.135 . 206 320 0.138 . 207 320 0.131 . 208 320 0.131 . 209 320 0.133 . 210 320 0.134 . 211 320 0.135 . 212 320 0.126 . 213 320 0.128 . 214 320 0.134 . 215 320 0.129 . 216 320 0.129 . 217 320 0.124 . 218 320 0.133 . 219 320 0.128 . 220 320 0.129 . 221 320 0.128 . 222 320 0.123 . 223 320 0.130 . 224 320 0.104 . 225 320 0.127 . 226 320 0.129 . 227 320 0.129 . 228 320 0.114 . 229 320 0.131 . 230 320 0.132 . 231 320 0.133 . 232 320 0.134 . 233 320 0.123 . 234 320 0.129 . 235 320 0.136 . 236 320 0.136 . 237 320 0.140 . 238 320 0.128 . 239 320 0.135 . 240 320 0.132 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -13.956371 2.6577081 2.0195654 -0.0000000 8.3714319 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -8.8159786 2.3641447 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -11.633881 2.4625565 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -10.895261 2.3505583 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -38.775837 2.8595544 0.71128414 -0.0000000 8.5112242 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -30.694135 2.5286914 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 6 -22.366028 2.8207569 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -17.035640 3.4432036 0.62629842 0.68201732 8.3464154 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -14.803099 2.6095528 1.4877754e+09 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -23.130969 2.7497566 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -32.287263 2.6277882 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -42.066642 2.8134695 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -73.379299 3.5031823 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 13 8.1192197 5.2655770 0.42296459 -0.0000000 10.540771 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -28.362333 3.1545212 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 15 -13.717244 2.7252961 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 16 -20.011011 3.0983392 1.1456571 -0.0000000 9.0237379 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 17 -14.658244 3.6755366 0.64603006 -0.0000000 7.3647559 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 18 -27.386636 2.9675643 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 19 -17.240933 3.5757792 0.65055183 -0.0000000 7.4710694 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 20 -25.839002 3.4087018 0.56939093 -0.0000000 8.1969100 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 21 -17.369699 2.4436241 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 22 -11.401766 2.7250017 0.55612441 -0.0000000 8.4401450 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 23 -5.6034950 2.8775669 1.2352821 -0.0000000 8.8820868 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 24 -8.1875458 3.3151343 0.95720715 -0.0000000 6.8744809 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 25 -11.446976 3.0128111 1.2877872 -0.0000000 7.4872592 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 26 -13.027895 2.8805661 0.55307753 -0.0000000 8.9172245 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 27 -16.985962 3.6080201 0.74884124 -0.0000000 7.8512172 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 28 -19.275263 2.8188275 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 29 -17.722464 2.7807207 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 30 -12.353350 3.1012708 0.38565723 -0.0000000 10.804374 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 31 -22.409358 3.1036075 0.33420937 -0.0000000 10.140013 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 32 -18.980321 3.0617207 0.45342852 -0.0000000 10.010321 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 33 -14.819500 2.8129327 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 34 -14.334067 3.1546317 0.30450284 -0.0000000 10.160990 1 . 241 320 0.217 . 242 320 0.131 . 243 320 0.134 . 244 320 0.132 . 245 320 0.131 . 246 320 0.134 . 247 320 0.133 . 248 320 0.139 . 249 320 0.131 . 250 320 0.126 . 251 320 0.127 . 252 320 0.130 . 253 320 0.138 . 254 320 0.134 . 255 320 0.136 . 256 320 0.139 . 257 320 0.135 . 258 320 0.128 . 259 320 0.130 . 260 320 0.138 . 261 320 0.126 . 262 320 0.128 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 0 -16.789971 3.2363235 0.48286188 -0.0000000 6.6371486 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -13.575272 2.5981329 0.44185810 -0.0000000 8.0047275 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 2 -14.240217 0.23767699 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -13.155310 3.1298349 1.1076696 -0.0000000 6.3095212 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -32.040338 3.5854957 0.64519696 -0.0000000 7.1432599 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 5 -23.517825 2.6757030 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 6 -24.516968 2.9337020 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -20.736799 3.5465338 0.64565851 -0.0000000 7.2569992 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -14.984481 2.4869713 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -31.830465 4.7755800 0.31476235 0.39661617 7.7103063 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -23.083357 2.6850386 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 11 -47.111446 3.8474380 0.31737106 -0.0000000 8.3582906 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -57.326829 4.0747800 0.32058895 -0.0000000 11.724392 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 14 -28.708256 0.20069271 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 15 -19.583190 3.5244868 0.33318378 0.50998926 12.269972 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 16 -21.101437 2.7112236 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 17 -17.744552 2.6728911 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 18 -21.383468 2.9390283 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 19 -13.527464 2.5623895 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 20 -17.916512 2.7996438 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 21 -14.618502 3.5741832 0.48452243 0.53725766 7.6414711 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 22 -12.335578 0.29534223 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 23 -10.380881 2.4518079 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 24 -10.102284 3.3301279 2.0860426 -0.0000000 6.7028512 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 25 -13.311056 3.1778468 0.57550084 -0.0000000 6.8805527 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 26 -17.006502 2.7705817 0.57381318 -0.0000000 9.0340840 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 27 -11.915584 2.9719747 0.47190660 -0.0000000 9.0042067 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 28 -27.303122 2.7032189 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 29 -20.303868 2.7633091 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 30 -15.995440 3.0766664 1.2210514 -0.0000000 9.8453502 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 31 -23.231501 3.8368617 1.1540786 -0.0000000 7.7840994 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 32 -21.444869 2.8384229 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 33 -19.877730 3.1292187 0.82464311 -0.0000000 10.082777 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 34 -14.866136 2.6664306 0.0000000 0.0000000 0.0000000 3 . 263 320 0.195 . 264 320 0.130 . 265 320 0.128 . 266 320 0.127 . 267 320 0.130 . 268 320 0.130 . 269 320 0.127 . 270 320 0.132 . 271 320 0.144 . 272 320 0.130 . 273 320 0.132 . 274 320 0.128 . 275 320 0.125 . 276 320 0.099 . 277 320 0.129 . 278 320 0.130 . 279 320 0.127 . 280 320 0.131 . 281 320 0.128 . 282 320 0.131 . 283 320 0.137 . 284 320 0.129 . 285 320 0.132 . 286 320 0.119 . 287 320 0.134 . 288 320 0.135 . 289 320 0.128 . 290 320 0.130 . 291 320 0.129 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -12.269140 2.3655362 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -10.500951 2.6944052 0.75136335 -0.0000000 8.0842363 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -15.501704 3.1990124 0.55444604 -0.0000000 6.6261460 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -11.568071 3.5033442 1.3152094 1.6350699 7.1785769 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -18.299093 2.7911921 0.61379524 -0.0000000 9.1718825 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 5 -45.219233 0.27853488 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 6 -38.769039 0.23210785 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -28.895361 2.6292313 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 8 -25.956715 3.2999914 0.43359658 -0.0000000 6.9354986 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 9 -34.147023 0.23239433 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -32.839346 4.1514865 0.40949110 0.50459104 8.0592633 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 11 -49.133418 0.26590269 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -47.508631 6.0135567 0.31016890 0.40251751 9.7815262 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 15 -39.455757 4.3344448 0.55203746 0.68138504 7.7776598 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 16 -27.973548 3.7285291 0.48049428 -0.0000000 7.6324045 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 17 -33.372972 3.7044368 0.35863207 -0.0000000 7.6154865 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 18 -34.607045 0.27563008 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 19 -22.502372 2.4981507 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 20 -27.311910 0.27897468 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 21 -15.500882 2.8739094 0.38142610 -0.0000000 8.8972009 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 22 -17.410799 3.2599243 1.2313714 -0.0000000 6.8112799 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 23 -10.162576 2.7993676 0.54166413 -0.0000000 8.9151511 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 24 -12.010985 2.6397057 3.7897487 0.0000000 8.4123313 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 25 -8.9595030 2.4408233 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 26 -18.466742 2.7355534 1.1130417 -0.0000000 8.7004452 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 27 -14.063674 3.2906499 1.2268156 1.1449060 8.4526479 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 28 -32.239012 3.3647970 0.90309225 -0.0000000 9.3448674 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 29 -26.977047 3.0020717 0.34418593 -0.0000000 9.6070224 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 30 -22.110059 3.0797242 0.30096588 -0.0000000 9.7738820 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 31 -21.005128 2.8169867 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 32 -24.364281 2.7280581 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 33 -25.741831 2.7037052 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 34 -26.795208 3.6595071 0.70003714 -0.0000000 7.6879621 1 . 292 320 0.252 . 293 320 0.127 . 294 320 0.137 . 295 320 0.132 . 296 320 0.118 . 297 320 0.126 . 298 320 0.130 . 299 320 0.136 . 300 320 0.134 . 301 320 0.128 . 302 320 0.132 . 303 320 0.129 . 304 320 0.125 . 305 320 0.133 . 306 320 0.128 . 307 320 0.129 . 308 320 0.126 . 309 320 0.132 . 310 320 0.123 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -15.859296 2.6190571 0.51647624 -0.0000000 8.1828300 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -17.363799 2.6149149 0.47550581 -0.0000000 7.9562555 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -15.235637 3.1115771 0.53294728 0.60203757 8.0983727 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -5.5893740 2.3483412 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -25.883409 3.2447180 0.81597011 -0.0000000 6.8960338 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -42.219361 2.4923115 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -35.889813 3.5101047 0.58208341 -0.0000000 6.9555531 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -65.374075 2.7506434 0.66673349 -0.0000000 8.2840460 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -19.182968 3.3390384 0.94509805 -0.0000000 6.6360835 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -33.515406 3.4978820 0.36449756 -0.0000000 7.1627089 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -34.113243 3.5451133 0.72634604 -0.0000000 7.1170406 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -47.052743 3.6615322 0.30278591 -0.0000000 7.6807316 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -61.136934 4.1481957 0.41860457 -0.0000000 8.4829695 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -105.27898 3.8199235 1.2875722 -0.0000000 11.421619 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -50.210503 3.9372688 0.33649285 -0.0000000 8.2937554 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 15 -57.069211 3.4329210 0.59708050 -0.0000000 7.4111128 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 16 -30.526094 3.3200867 0.98173265 -0.0000000 6.7824191 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 17 -34.545868 2.5737265 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 18 -32.074784 2.7647597 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 19 -26.048973 2.4536647 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 21 -27.600141 2.7897831 0.53053991 -0.0000000 8.6060158 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 22 -12.768177 2.4760661 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 23 -14.251167 2.4438567 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 24 -15.531370 2.3527599 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 25 -18.985210 3.1149489 0.40460200 0.42562894 8.5427034 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 26 -17.755455 2.5093944 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 27 -22.703244 2.8755174 0.51177849 -0.0000000 9.6613485 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 28 -42.201765 2.6457919 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 29 -37.216480 3.5579120 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 30 -6.9820830 3.4666686 2.4194052 -0.0000000 10.394561 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 31 -20.386162 3.4201229 0.68678334 -0.0000000 10.849514 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 32 -18.874702 3.0549096 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 33 -29.704678 2.7134194 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 34 -33.918201 3.0383340 0.38062079 0.31845377 9.7413017 1 . 311 320 0.209 . 312 320 0.126 . 313 320 0.125 . 314 320 0.132 . 315 320 0.128 . 316 320 0.127 . 317 320 0.130 . 318 320 0.115 . 319 320 0.084 FITARCIMAGE_GLOBAL: r2: Discarding trace 0, at 5852.4880 with 45 centroids too close to an edge FITARCIMAGE_GLOBAL: r2: Line 1, at 5881.8950 Ang: ERR= 0.0100603 ERR_RMS= 0.000604512 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 2, at 5944.8340 Ang: ERR= 0.00711590 ERR_RMS= 0.0130591 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 3, at 6029.9970 Ang: ERR= 0.0134335 ERR_RMS= 0.000832460 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 4, at 6074.3380 Ang: ERR= 0.00595478 ERR_RMS= 0.000314122 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 5, at 6096.1630 Ang: ERR= 0.00451798 ERR_RMS= 0.0154406 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 6, at 6143.0630 Ang: ERR= 0.00360988 ERR_RMS= 0.0128753 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 7, at 6163.5940 Ang: ERR= 0.00670749 ERR_RMS= 0.000340810 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 8, at 6217.2810 Ang: ERR= 0.00819123 ERR_RMS= 0.000417379 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 9, at 6266.4950 Ang: ERR= 0.00443694 ERR_RMS= 0.0128452 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 10, at 6304.7890 Ang: ERR= 0.00734096 ERR_RMS= 0.000359668 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 11, at 6334.4280 Ang: ERR= 0.00378066 ERR_RMS= 0.0147697 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 12, at 6382.9920 Ang: ERR= 0.00361217 ERR_RMS= 0.000138629 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 13, at 6402.2460 Ang: ERR= 0.00233049 ERR_RMS= 0.0148768 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 14, at 6506.5280 Ang: ERR= 0.00311069 ERR_RMS= 0.0151534 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 15, at 6532.8820 Ang: ERR= 0.00604135 ERR_RMS= 0.000275842 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 16, at 6598.9530 Ang: ERR= 0.00481074 ERR_RMS= 0.000212231 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 17, at 6717.0430 Ang: ERR= 0.00444496 ERR_RMS= 0.000187285 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 18, at 6929.4670 Ang: ERR= 0.00378817 ERR_RMS= 0.0153174 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 19, at 7173.9380 Ang: ERR= 0.00835717 ERR_RMS= 0.000404625 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 20, at 7245.1670 Ang: ERR= 0.00407759 ERR_RMS= 0.0180274 pix, 3 masked. FITARCIMAGE_GLOBAL: r2: Line 21, at 7438.9000 Ang: ERR= 0.00796273 ERR_RMS= 0.000354033 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 22, at 7488.8710 Ang: ERR= 0.0147689 ERR_RMS= 0.0158546 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 23, at 7535.7740 Ang: ERR= 0.0172629 ERR_RMS= 0.00104177 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 24, at 7635.1060 Ang: ERR= 0.0298622 ERR_RMS= 0.00246359 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 25, at 8014.7860 Ang: ERR= 0.0744576 ERR_RMS= 0.00932150 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 26, at 8103.6930 Ang: ERR= 0.0555065 ERR_RMS= 0.00592762 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 27, at 8300.3260 Ang: ERR= 0.0248781 ERR_RMS= 0.00165465 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 28, at 8377.6065 Ang: ERR= 0.00965687 ERR_RMS= 0.000531162 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 29, at 8495.3598 Ang: ERR= 0.0137575 ERR_RMS= 0.000886480 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 30, at 8591.2583 Ang: ERR= 0.0263045 ERR_RMS= 0.00199834 pix, 8 masked. FITARCIMAGE_GLOBAL: r2: Line 31, at 8634.6470 Ang: ERR= 0.0286014 ERR_RMS= 0.00224568 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 32, at 8654.3831 Ang: ERR= 0.0180136 ERR_RMS= 0.00122203 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 33, at 8853.8670 Ang: ERR= 0.0413706 ERR_RMS= 0.00368972 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 34, at 9122.9674 Ang: ERR= 0.0875574 ERR_RMS= 0.0159284 pix, 9 masked. FITARCIMAGE_GLOBAL: r2: Number of good arc lines: 34 FITARCIMAGE_GLOBAL: r2: Number of arclines = 34 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 1 3 34 0 4 34 0 5 34 0 6 34 1 7 34 0 8 34 0 9 34 0 10 34 1 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 1 51 34 0 52 34 1 53 34 0 54 34 8 55 34 4 56 34 1 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 1 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 1 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 2 170 34 0 171 34 1 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 1 182 34 0 183 34 0 184 34 5 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 1 223 34 1 224 34 8 225 34 0 226 34 0 227 34 0 228 34 4 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 34 242 34 1 243 34 0 244 34 0 245 34 0 246 34 0 247 34 1 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 30 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 8 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 28 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 33 312 34 1 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 4 319 34 16 XY2TRACESET: r2: Total rejected = 199 Pass 1 complete FITARCIMAGE_GLOBAL: r2: Number of arclines after bundle test = 34 FITARCLINES: r2: ncoeffs (x,y): 4 5 FITARCLINES: r2: errored out 2 fibers: 241 311 FITARCLINES: r2: fit rchi2: 0.059618494 FITARCLINES: r2: offset stddev: 320 2.7593419e-13 FITARCLINES: r2: scale stddev: 320 6.8243416e-13 FITARCLINES: r2: poly x,y,stddev: 0 0 5.7811248e-07 FITARCLINES: r2: poly x,y,stddev: 1 0 1.7370718e-06 FITARCLINES: r2: poly x,y,stddev: 2 0 1.3790371e-06 FITARCLINES: r2: poly x,y,stddev: 3 0 2.7740381e-06 FITARCLINES: r2: poly x,y,stddev: 0 1 4.0836042e-07 FITARCLINES: r2: poly x,y,stddev: 1 1 1.2314615e-06 FITARCLINES: r2: poly x,y,stddev: 2 1 9.8069466e-07 FITARCLINES: r2: poly x,y,stddev: 3 1 1.9705902e-06 FITARCLINES: r2: poly x,y,stddev: 0 2 2.6983738e-07 FITARCLINES: r2: poly x,y,stddev: 1 2 8.0168429e-07 FITARCLINES: r2: poly x,y,stddev: 2 2 6.2831056e-07 FITARCLINES: r2: poly x,y,stddev: 3 2 1.2663375e-06 FITARCLINES: r2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: r2: IVAR=0 centroids masked: 186 Final arcfit complete FITARCIMAGE_GLOBAL: r2: Time 70. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 3 1.00 7.72 .0001 2 1.00 8.18 .0002 2 1.00 9.73 .0003 3 1.00 8.21 .0004 3 1.00 8.06 .0005 3 1.00 8.63 .0006 2 1.00 7.92 .0007 2 1.00 8.64 .0008 3 1.00 7.76 .0009 3 1.00 8.52 .0010 2 1.00 9.68 .0011 4 1.00 6.80 .0012 2 1.00 7.72 .0013 2 1.00 8.76 .0014 4 1.00 7.68 .0015 3 1.00 7.19 .0016 2 1.00 8.84 .0017 2 1.00 9.21 .0018 3 1.00 7.57 .0019 4 1.00 6.22 .0020 3 1.00 8.77 .0021 3 1.00 7.27 .0022 3 1.00 7.86 .0023 2 1.00 8.80 .0024 2 1.00 7.63 .0025 3 1.00 7.77 .0026 3 1.00 8.04 .0027 3 1.00 8.22 .0028 3 1.00 7.29 .0029 2 1.00 8.29 .0030 2 1.00 9.04 .0031 4 1.00 7.66 .0032 3 1.00 7.56 .0033 3 1.00 8.63 .0034 3 1.00 8.52 .0035 2 1.00 8.43 .0036 2 1.00 8.83 .0037 2 1.00 9.42 .0038 3 1.00 6.76 .0039 3 1.00 8.44 .0040 2 1.00 9.56 .0041 2 1.00 8.82 .0042 3 1.00 7.28 .0043 1 1.00 10.68 .0044 3 1.00 8.24 .0045 2 1.00 8.58 .0046 2 1.00 7.18 .0047 2 1.00 9.40 .0048 2 1.00 7.70 .0049 2 1.00 11.14 .0050 1 1.00 10.60 .0051 2 1.00 9.96 .0052 2 1.00 10.00 .0053 2 1.00 8.68 .0054 5 1.00 5.21 .0055 3 1.00 7.72 .0056 2 1.00 11.19 .0057 2 1.00 9.83 .0058 3 1.00 7.63 .0059 3 1.00 7.78 .0060 2 1.00 7.79 .0061 3 1.00 6.51 .0062 3 1.00 8.72 .0063 4 1.00 7.53 .0064 3 1.00 7.40 .0065 3 1.00 7.03 .0066 3 1.00 9.02 .0067 2 1.00 8.45 .0068 2 1.00 6.73 .0069 3 1.00 6.70 .0070 3 1.00 7.29 .0071 3 1.00 7.94 .0072 3 1.00 7.59 .0073 3 1.00 7.92 .0074 2 1.00 8.46 .0075 3 1.00 8.13 .0076 3 1.00 9.09 .0077 3 1.00 9.03 .0078 3 1.00 8.14 .0079 2 1.00 8.31 .0080 3 1.00 7.41 .0081 2 1.00 9.02 .0082 3 1.00 7.00 .0083 3 1.00 7.33 .0084 3 1.00 5.94 .0085 3 1.00 8.69 .0086 3 1.00 7.49 .0087 3 1.00 8.18 .0088 2 1.00 7.05 .0089 2 1.00 7.06 .0090 3 1.00 7.38 .0091 3 1.00 6.73 .0092 4 1.00 7.43 .0093 4 1.00 6.08 .0094 3 1.00 7.68 .0095 3 1.00 7.08 .0096 3 1.00 7.66 .0097 3 1.00 8.21 .0098 3 1.00 7.79 .0099 3 1.00 7.64 .0100 3 1.00 6.14 .0101 3 1.00 8.00 .0102 3 1.00 7.29 .0103 3 1.00 6.80 .0104 2 1.00 8.03 .0105 2 1.00 8.17 .0106 3 1.00 6.62 .0107 3 1.00 6.75 .0108 3 1.00 6.81 .0109 5 1.00 6.43 .0110 4 1.00 6.84 .0111 3 1.00 7.64 .0112 3 1.00 6.75 .0113 2 1.00 7.44 .0114 4 1.00 6.36 .0115 3 1.00 7.27 .0116 3 1.00 7.82 .0117 3 1.00 7.68 .0118 3 1.00 6.49 .0119 3 1.00 7.63 .0120 3 1.00 7.26 .0121 4 1.00 6.64 .0122 4 1.00 6.55 .0123 3 1.00 7.10 .0124 5 1.00 4.79 .0125 4 1.00 5.40 .0126 3 1.00 6.11 .0127 3 1.00 7.15 .0128 3 1.00 6.92 .0129 4 1.00 7.26 .0130 3 1.00 7.07 .0131 4 1.00 6.41 .0132 3 1.00 6.70 .0133 3 1.00 6.18 .0134 2 1.00 7.64 .0135 2 1.00 8.48 .0136 2 1.00 6.82 .0137 2 1.00 8.44 .0138 3 1.00 9.51 .0139 3 1.00 7.89 .0140 3 1.00 5.89 .0141 3 1.00 7.17 .0142 3 1.00 7.15 .0143 3 1.00 8.07 .0144 3 1.00 8.48 .0145 2 1.00 10.18 .0146 2 1.00 8.38 .0147 2 1.00 9.09 .0148 2 1.00 10.05 .0149 3 1.00 9.17 .0150 3 1.00 8.32 .0151 3 1.00 9.73 .0152 3 1.00 7.94 .0153 3 1.00 7.82 .0154 3 1.00 8.24 .0155 3 1.00 8.09 .0156 3 1.00 10.11 .0157 3 1.00 10.03 .0158 3 1.00 9.35 .0159 3 1.00 9.35 .0160 2 1.00 9.21 .0161 2 1.00 9.12 .0162 2 1.00 9.05 .0163 2 1.00 10.24 .0164 2 1.00 10.08 .0165 2 1.00 9.22 .0166 3 1.00 7.71 .0167 4 1.00 7.93 .0168 3 1.00 6.71 .0169 2 1.00 7.43 .0170 3 1.00 6.99 .0171 3 1.00 7.15 .0172 3 1.00 8.07 .0173 2 1.00 10.71 .0174 2 1.00 11.10 .0175 2 1.00 10.72 .0176 2 1.00 10.48 .0177 2 1.00 10.94 .0178 2 1.00 8.86 .0179 2 1.00 9.90 .0180 2 1.00 10.25 .0181 2 1.00 11.00 .0182 2 1.00 9.81 .0183 2 1.00 9.83 .0184 2 1.00 10.42 .0185 2 1.00 10.00 .0186 3 1.00 8.46 .0187 2 1.00 7.91 .0188 3 1.00 8.56 .0189 2 1.00 10.82 .0190 3 1.00 9.06 .0191 3 1.00 10.23 .0192 3 1.00 9.38 .0193 3 1.00 9.43 .0194 3 1.00 8.95 .0195 3 1.00 8.90 .0196 3 1.00 9.23 .0197 3 1.00 9.57 .0198 2 1.00 9.29 .0199 3 1.00 9.40 .0200 3 1.00 8.65 .0201 3 1.00 7.64 .0202 2 1.00 9.55 .0203 3 1.00 7.12 .0204 2 1.00 8.24 .0205 2 1.00 7.98 .0206 2 1.00 8.13 .0207 2 1.00 8.55 .0208 2 1.00 8.44 .0209 2 1.00 9.77 .0210 2 1.00 9.18 .0211 2 1.00 10.06 .0212 2 1.00 8.84 .0213 2 1.00 8.87 .0214 2 1.00 9.36 .0215 3 1.00 8.74 .0216 2 1.00 9.66 .0217 3 1.00 8.82 .0218 3 1.00 8.38 .0219 2 1.00 9.90 .0220 3 1.00 7.53 .0221 3 1.00 7.21 .0222 2 1.00 7.74 .0223 3 1.00 6.81 .0224 2 1.00 7.43 .0225 2 1.00 8.16 .0226 2 1.00 8.18 .0227 2 1.00 8.78 .0228 2 1.00 7.55 .0229 2 1.00 8.33 .0230 2 1.00 8.82 .0231 2 1.00 9.14 .0232 2 1.00 9.09 .0233 2 1.00 8.07 .0234 2 1.00 10.10 .0235 2 1.00 11.80 .0236 3 1.00 9.30 .0237 3 1.00 7.77 .0238 3 1.00 7.18 .0239 3 1.00 9.50 .0240 2 1.00 8.46 .0241 1 1.00 0.82 .0242 2 1.00 8.40 .0243 2 1.00 8.80 .0244 2 1.00 7.89 .0245 3 1.00 8.13 .0246 2 1.00 7.87 .0247 2 1.00 7.97 .0248 2 1.00 7.90 .0249 2 1.00 8.27 .0250 2 1.00 9.28 .0251 2 1.00 9.42 .0252 2 1.00 7.96 .0253 2 1.00 8.90 .0254 2 1.00 7.54 .0255 2 1.00 8.57 .0256 3 1.00 7.76 .0257 3 1.00 7.76 .0258 3 1.00 7.95 .0259 3 1.00 8.06 .0260 3 1.00 6.73 .0261 3 1.00 7.12 .0262 3 1.00 7.35 .0263 1 1.00 0.77 .0264 3 1.00 7.58 .0265 3 1.00 8.76 .0266 3 1.00 7.94 .0267 3 1.00 6.87 .0268 3 1.00 6.83 .0269 2 1.00 8.11 .0270 3 1.00 7.66 .0271 3 1.00 8.11 .0272 2 1.00 9.42 .0273 2 1.00 8.90 .0274 4 1.00 6.92 .0275 3 1.00 8.49 .0276 1 1.00 7.74 .0277 2 1.00 9.11 .0278 2 1.00 8.39 .0279 2 1.00 8.12 .0280 3 1.00 8.67 .0281 2 1.00 8.60 .0282 1 1.00 11.34 .0283 4 1.00 8.33 .0284 3 1.00 6.88 .0285 3 1.00 6.76 .0286 4 1.00 6.25 .0287 2 1.00 8.97 .0288 2 1.00 7.76 .0289 2 1.00 9.04 .0290 2 1.00 7.94 .0291 2 1.00 6.93 .0292 1 1.00 0.97 .0293 2 1.00 8.33 .0294 2 1.00 9.20 .0295 2 1.00 8.07 .0296 3 1.00 6.44 .0297 4 1.00 7.34 .0298 2 1.00 8.39 .0299 3 1.00 7.91 .0300 4 1.00 7.12 .0301 3 1.00 7.41 .0302 3 1.00 6.81 .0303 3 1.00 7.13 .0304 3 1.00 6.89 .0305 4 1.00 7.08 .0306 3 1.00 6.28 .0307 3 1.00 6.73 .0308 2 1.00 7.38 .0309 2 1.00 8.14 .0310 2 1.00 8.70 .0311 1 1.00 1.49 .0312 2 1.00 6.72 .0313 3 1.00 6.13 .0314 1 1.00 9.92 .0315 2 1.00 8.94 .0316 3 1.00 7.57 .0317 3 1.00 7.77 .0318 3 1.00 6.79 .0319 4 1.00 2.55 EXTRACT_IMAGE: r2: masked 618 pixels TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: r2: Total rejected = 0 FITDISPERSION: r2: Median wavelength widths = 0.87 0.86 0.85 0.79 pix (LL LR UL UR) SPCALIB: r2: Extracting arc # 2 of 2 SPCALIB: r2: Reading arc sdR-r2-00034757.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.45726 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 468.471 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 447. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.65134 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1321.93 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1301. DN is 3 SDSSPROC: r2: Number of saturated rows = 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 SPCALIB: r2: Fraction of bad pixels in arc = 8.22544e-05 SPCALIB: r2: Arc sdR-r2-00034757.fit paired with flat sdR-r2-00034756.fit MATCH_TRACE: r2: Iteration: 0 Pixels Rejected: 13154 Finished? 0 MATCH_TRACE: r2: Iteration: 1 Pixels Rejected: 411 Finished? 0 MATCH_TRACE: r2: Iteration: 2 Pixels Rejected: 98 Finished? 0 MATCH_TRACE: r2: Iteration: 3 Pixels Rejected: 29 Finished? 0 MATCH_TRACE: r2: Iteration: 4 Pixels Rejected: 5 Finished? 0 MATCH_TRACE: r2: Iteration: 5 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: r2: Iteration: 6 Pixels Rejected: 0 Finished? 1 SPCALIB: r2: Shifting traces with match_trace -0.000366211 SPCALIB: r2: Extracting arc ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 2 0.91 1.31 .0004 1 0.91 1.49 .0005 2 0.91 1.49 .0006 2 0.91 1.47 .0007 1 0.91 1.80 .0008 1 0.91 1.67 .0009 1 0.91 1.63 .0010 1 0.91 1.82 .0011 1 0.91 1.88 .0012 1 0.91 2.25 .0013 1 0.91 2.75 .0014 1 0.91 2.74 .0015 1 0.91 2.91 .0016 1 0.91 2.98 .0017 2 0.91 3.06 .0018 3 0.91 2.99 .0019 2 0.91 3.11 .0020 2 0.91 2.62 .0021 1 0.91 2.40 .0022 1 0.91 2.31 .0023 1 0.91 2.48 .0024 1 0.91 2.61 .0025 1 0.91 2.68 .0026 1 0.91 2.56 .0027 1 0.91 2.31 .0028 1 0.91 2.46 .0029 1 0.91 2.61 .0030 2 0.91 2.38 .0031 1 0.91 2.99 .0032 1 0.91 3.23 .0033 1 0.91 2.42 .0034 1 0.91 2.41 .0035 1 0.91 2.39 .0036 2 0.91 1.62 .0037 1 0.91 1.73 .0038 1 0.91 1.65 .0039 3 0.91 1.68 .0040 3 0.91 1.64 .0041 3 0.91 1.81 .0042 1 0.91 1.67 .0043 1 0.91 1.88 .0044 1 0.91 2.00 .0045 1 0.91 1.91 .0046 1 0.91 1.98 .0047 1 0.91 1.91 .0048 1 0.91 1.75 .0049 1 0.91 1.71 .0050 1 0.91 1.65 .0051 1 0.91 2.16 .0052 1 0.91 2.39 .0053 1 0.91 1.62 .0054 1 0.91 1.66 .0055 1 0.91 2.18 .0056 1 0.91 2.25 .0057 2 0.91 2.44 .0058 1 0.91 2.52 .0059 1 0.91 3.06 .0060 1 0.91 2.84 .0061 1 0.91 2.86 .0062 1 0.91 2.75 .0063 1 0.91 2.37 .0064 1 0.91 2.05 .0065 1 0.91 2.03 .0066 1 0.91 1.90 .0067 1 0.91 1.78 .0068 1 0.91 1.65 .0069 2 0.91 1.98 .0070 2 0.91 2.03 .0071 1 0.91 2.03 .0072 1 0.91 2.11 .0073 1 0.91 2.27 .0074 1 0.91 2.12 .0075 1 0.91 2.35 .0076 1 0.91 2.75 .0077 2 0.91 2.48 .0078 2 0.91 2.69 .0079 2 0.91 2.65 .0080 2 0.91 2.86 .0081 1 0.91 2.84 .0082 1 0.91 2.71 .0083 1 0.91 2.91 .0084 1 0.91 2.74 .0085 1 0.91 2.73 .0086 1 0.91 3.13 .0087 1 0.91 3.33 .0088 1 0.91 3.30 .0089 1 0.91 2.97 .0090 2 0.91 3.12 .0091 2 0.91 3.04 .0092 2 0.91 2.78 .0093 1 0.91 3.25 .0094 1 0.91 4.26 .0095 1 0.91 3.14 .0096 2 0.91 2.46 .0097 3 0.91 2.10 .0098 2 0.91 1.64 .0099 2 0.91 1.40 .0100 2 0.91 1.37 .0101 2 0.91 1.33 .0102 1 0.91 1.20 .0103 1 0.91 1.15 .0104 1 0.91 1.21 .0105 2 0.91 1.20 .0106 1 0.91 1.26 .0107 2 0.91 1.36 .0108 2 0.91 1.34 .0109 1 0.91 1.33 .0110 2 0.91 1.27 .0111 1 0.91 1.25 .0112 1 0.91 1.30 .0113 1 0.91 1.43 .0114 1 0.91 1.62 .0115 1 0.91 1.76 .0116 1 0.91 1.61 .0117 1 0.91 1.71 .0118 1 0.91 1.63 .0119 1 0.91 1.46 .0120 1 0.91 1.41 .0121 1 0.91 1.38 .0122 1 0.91 1.25 .0123 1 0.91 1.30 .0124 2 0.91 1.17 .0125 2 0.91 1.14 .0126 3 0.91 1.38 .0127 2 0.91 1.29 .0128 2 0.91 1.32 .0129 1 0.91 1.37 .0130 1 0.91 1.27 .0131 1 0.91 1.40 .0132 1 0.91 1.23 .0133 2 0.91 1.32 .0134 2 0.91 1.45 .0135 2 0.91 1.27 .0136 2 0.91 1.33 .0137 2 0.91 1.38 .0138 1 0.91 1.53 .0139 1 0.91 1.32 .0140 1 0.91 1.38 .0141 1 0.91 1.52 .0142 1 0.91 2.19 .0143 1 0.91 3.04 .0144 1 0.91 3.68 .0145 1 0.91 3.89 .0146 2 0.91 4.52 .0147 3 0.91 4.55 .0148 1 0.91 4.76 .0149 2 0.91 4.04 .0150 2 0.91 3.70 .0151 1 0.91 3.46 .0152 1 0.91 3.12 .0153 3 0.91 3.26 .0154 1 0.91 2.79 .0155 1 0.91 2.54 .0156 2 0.91 3.06 .0157 1 0.91 4.83 .0158 1 0.91 6.38 .0159 1 0.91 7.01 .0160 1 0.91 7.27 .0161 1 0.91 8.67 .0162 1 0.91 8.15 .0163 1 0.91 8.58 .0164 1 0.91 8.91 .0165 2 0.91 7.03 .0166 2 0.91 6.55 .0167 2 0.91 6.67 .0168 1 0.91 6.11 .0169 1 0.91 6.02 .0170 1 0.91 5.94 .0171 1 0.91 6.68 .0172 1 0.91 7.40 .0173 1 0.91 7.80 .0174 1 0.91 8.08 .0175 1 0.91 8.35 .0176 1 0.91 7.73 .0177 1 0.91 7.76 .0178 1 0.91 7.76 .0179 2 0.91 7.35 .0180 2 0.91 8.61 .0181 2 0.91 8.91 .0182 1 0.91 8.25 .0183 1 0.91 7.50 .0184 1 0.91 7.65 .0185 1 0.91 6.53 .0186 1 0.91 6.88 .0187 1 0.91 8.08 .0188 1 0.91 10.16 .0189 1 0.91 12.46 .0190 1 0.91 13.48 .0191 1 0.91 13.42 .0192 1 0.91 14.39 .0193 1 0.91 15.09 .0194 1 0.91 15.19 .0195 1 0.91 18.65 .0196 1 0.91 12.30 .0197 1 0.91 10.63 .0198 1 0.91 9.39 .0199 1 0.91 6.57 .0200 1 0.91 5.18 .0201 1 0.91 5.49 .0202 1 0.91 6.65 .0203 1 0.91 8.39 .0204 1 0.91 8.65 .0205 1 0.91 8.91 .0206 1 0.91 10.00 .0207 1 0.91 10.12 .0208 1 0.91 10.36 .0209 1 0.91 10.34 .0210 1 0.91 10.52 .0211 2 0.91 10.78 .0212 1 0.91 11.43 .0213 1 0.91 10.78 .0214 1 0.91 10.82 .0215 1 0.91 11.25 .0216 1 0.91 11.93 .0217 1 0.91 12.86 .0218 1 0.91 14.19 .0219 1 0.91 14.29 .0220 1 0.91 14.20 .0221 1 0.91 14.33 .0222 1 0.91 13.04 .0223 1 0.91 12.15 .0224 1 0.91 11.91 .0225 1 0.91 14.59 .0226 1 0.91 19.05 .0227 1 0.91 10.64 .0228 1 0.91 9.75 .0229 2 0.91 8.22 .0230 1 0.91 4.94 .0231 1 0.91 5.06 .0232 1 0.91 4.03 .0233 1 0.91 3.84 .0234 1 0.91 3.87 .0235 1 0.91 3.49 .0236 1 0.91 3.27 .0237 1 0.91 3.24 .0238 1 0.91 3.81 .0239 1 0.91 5.03 .0240 1 0.91 4.97 .0241 1 0.91 4.24 .0242 1 0.91 3.65 .0243 1 0.91 3.03 .0244 1 0.91 2.46 .0245 2 0.91 2.09 .0246 1 0.91 1.92 .0247 1 0.91 1.95 .0248 1 0.91 1.75 .0249 1 0.91 1.63 .0250 1 0.91 1.67 .0251 1 0.91 1.87 .0252 1 0.91 1.81 .0253 1 0.91 1.93 .0254 1 0.91 1.87 .0255 1 0.91 1.96 .0256 1 0.91 1.96 .0257 1 0.91 2.25 .0258 1 0.91 2.00 .0259 1 0.91 2.19 .0260 1 0.91 2.26 .0261 1 0.91 2.34 .0262 1 0.91 2.32 .0263 1 0.91 2.28 .0264 1 0.91 2.44 .0265 1 0.91 2.49 .0266 1 0.91 2.48 .0267 1 0.91 2.63 .0268 1 0.91 2.99 .0269 1 0.91 3.37 .0270 1 0.91 4.36 .0271 1 0.91 5.77 .0272 1 0.91 5.99 .0273 1 0.91 6.43 .0274 1 0.91 8.02 .0275 1 0.91 7.97 .0276 1 0.91 7.41 .0277 1 0.91 6.37 .0278 2 0.91 5.55 .0279 1 0.91 4.75 .0280 1 0.91 4.65 .0281 1 0.91 3.71 .0282 1 0.91 3.73 .0283 1 0.91 3.89 .0284 1 0.91 4.67 .0285 1 0.91 4.99 .0286 1 0.91 5.00 .0287 1 0.91 5.15 .0288 1 0.91 5.51 .0289 1 0.91 5.81 .0290 1 0.91 5.55 .0291 1 0.91 5.54 .0292 1 0.91 6.74 .0293 1 0.91 6.80 .0294 1 0.91 6.88 .0295 1 0.91 6.98 .0296 1 0.91 7.74 .0297 1 0.91 8.17 .0298 1 0.91 9.02 .0299 1 0.91 9.75 .0300 1 0.91 9.81 .0301 1 0.91 9.93 .0302 1 0.91 9.47 .0303 1 0.91 7.97 .0304 1 0.91 7.57 .0305 1 0.91 7.40 .0306 1 0.91 9.45 .0307 1 0.91 10.13 .0308 1 0.91 6.39 .0309 1 0.91 5.21 .0310 1 0.91 5.35 .0311 1 0.91 2.64 .0312 1 0.91 2.66 .0313 2 0.91 3.11 .0314 1 0.91 4.55 .0315 1 0.91 6.86 .0316 1 0.91 7.70 .0317 1 0.91 9.64 .0318 1 0.91 12.66 .0319 2 0.91 11.10 .0320 1 0.91 10.54 .0321 1 0.91 9.73 .0322 1 0.91 9.17 .0323 1 0.91 8.75 .0324 1 0.91 8.52 .0325 1 0.91 7.88 .0326 1 0.91 7.37 .0327 1 0.91 7.27 .0328 1 0.91 8.02 .0329 1 0.91 8.36 .0330 1 0.91 8.60 .0331 1 0.91 9.24 .0332 1 0.91 9.51 .0333 1 0.91 9.39 .0334 1 0.91 8.84 .0335 1 0.91 8.59 .0336 2 0.91 9.19 .0337 2 0.91 8.92 .0338 2 0.91 9.06 .0339 1 0.91 10.64 .0340 1 0.91 10.02 .0341 1 0.91 10.68 .0342 1 0.91 11.99 .0343 1 0.91 12.24 .0344 1 0.91 11.80 .0345 1 0.91 12.41 .0346 1 0.91 13.46 .0347 1 0.91 14.88 .0348 1 0.91 15.40 .0349 1 0.91 16.14 .0350 1 0.91 21.21 .0351 1 0.91 20.40 .0352 1 0.91 16.55 .0353 1 0.91 13.00 .0354 1 0.91 12.17 .0355 1 0.91 7.65 .0356 1 0.91 7.91 .0357 1 0.91 8.02 .0358 1 0.91 12.82 .0359 1 0.91 21.05 .0360 1 0.91 27.51 .0361 1 0.91 28.70 .0362 1 0.91 31.78 .0363 1 0.91 36.16 .0364 1 0.91 33.95 .0365 1 0.91 34.78 .0366 1 0.91 29.63 .0367 1 0.91 29.70 .0368 1 0.91 33.20 .0369 2 0.91 27.59 .0370 2 0.91 25.78 .0371 1 0.91 29.04 .0372 1 0.91 31.61 .0373 1 0.91 34.74 .0374 1 0.91 36.54 .0375 1 0.91 34.48 .0376 1 0.91 37.81 .0377 1 0.91 37.74 .0378 1 0.91 34.43 .0379 1 0.91 35.84 .0380 2 0.91 37.11 .0381 2 0.91 40.79 .0382 2 0.91 45.50 .0383 1 0.91 43.60 .0384 1 0.91 40.86 .0385 1 0.91 42.98 .0386 1 0.91 44.23 .0387 1 0.91 42.24 .0388 1 0.91 43.55 .0389 1 0.91 40.60 .0390 1 0.91 39.15 .0391 1 0.91 36.45 .0392 1 0.91 34.73 .0393 1 0.91 37.97 .0394 1 0.91 49.19 .0395 1 0.91 26.95 .0396 1 0.91 23.33 .0397 1 0.91 18.75 .0398 1 0.91 9.17 .0399 1 0.91 4.36 .0400 1 0.91 5.35 .0401 1 0.91 3.11 .0402 1 0.91 2.60 .0403 1 0.91 2.15 .0404 2 0.91 1.72 .0405 2 0.91 1.47 .0406 3 0.91 1.44 .0407 1 0.91 1.43 .0408 1 0.91 1.49 .0409 1 0.91 1.33 .0410 1 0.91 1.38 .0411 1 0.91 1.45 .0412 1 0.91 1.37 .0413 1 0.91 1.33 .0414 1 0.91 1.32 .0415 1 0.91 1.30 .0416 1 0.91 1.26 .0417 1 0.91 1.36 .0418 2 0.91 1.45 .0419 1 0.91 1.31 .0420 2 0.91 1.39 .0421 1 0.91 1.39 .0422 1 0.91 1.19 .0423 1 0.91 1.29 .0424 1 0.91 1.54 .0425 1 0.91 3.05 .0426 1 0.91 6.61 .0427 1 0.91 9.83 .0428 1 0.91 10.57 .0429 1 0.91 11.53 .0430 1 0.91 14.37 .0431 1 0.91 13.06 .0432 1 0.91 13.28 .0433 1 0.91 11.75 .0434 1 0.91 10.41 .0435 1 0.91 10.40 .0436 1 0.91 9.47 .0437 1 0.91 8.37 .0438 1 0.91 9.49 .0439 1 0.91 10.27 .0440 1 0.91 11.32 .0441 1 0.91 11.33 .0442 1 0.91 11.24 .0443 1 0.91 13.56 .0444 1 0.91 14.17 .0445 1 0.91 13.45 .0446 1 0.91 14.58 .0447 2 0.91 15.97 .0448 2 0.91 16.97 .0449 2 0.91 17.04 .0450 2 0.91 17.94 .0451 1 0.91 18.98 .0452 1 0.91 20.20 .0453 1 0.91 21.60 .0454 1 0.91 19.98 .0455 1 0.91 20.04 .0456 1 0.91 18.49 .0457 1 0.91 17.29 .0458 1 0.91 15.96 .0459 1 0.91 15.91 .0460 1 0.91 20.20 .0461 1 0.91 19.68 .0462 1 0.91 13.48 .0463 1 0.91 9.86 .0464 2 0.91 10.08 .0465 2 0.91 4.06 .0466 2 0.91 4.21 .0467 2 0.91 4.38 .0468 1 0.91 4.37 .0469 1 0.91 4.78 .0470 1 0.91 4.96 .0471 2 0.91 4.72 .0472 1 0.91 5.16 .0473 1 0.91 4.69 .0474 1 0.91 4.21 .0475 1 0.91 4.13 .0476 1 0.91 4.33 .0477 1 0.91 5.65 .0478 1 0.91 4.19 .0479 1 0.91 4.53 .0480 1 0.91 2.90 .0481 1 0.91 2.17 .0482 1 0.91 1.86 .0483 2 0.91 2.07 .0484 1 0.91 2.62 .0485 1 0.91 3.36 .0486 1 0.91 4.60 .0487 1 0.91 4.67 .0488 1 0.91 5.18 .0489 1 0.91 5.70 .0490 1 0.91 5.44 .0491 1 0.91 5.15 .0492 1 0.91 4.55 .0493 1 0.91 4.27 .0494 1 0.91 4.07 .0495 1 0.91 3.77 .0496 1 0.91 3.61 .0497 1 0.91 3.92 .0498 1 0.91 4.39 .0499 1 0.91 4.59 .0500 1 0.91 4.45 .0501 1 0.91 4.86 .0502 1 0.91 5.23 .0503 3 0.91 4.93 .0504 2 0.91 4.64 .0505 2 0.91 5.47 .0506 2 0.91 5.44 .0507 2 0.91 5.78 .0508 2 0.91 5.75 .0509 1 0.91 6.47 .0510 1 0.91 6.67 .0511 1 0.91 7.31 .0512 1 0.91 7.70 .0513 1 0.91 7.01 .0514 1 0.91 6.85 .0515 1 0.91 6.07 .0516 1 0.91 5.23 .0517 1 0.91 5.39 .0518 1 0.91 6.03 .0519 1 0.91 8.42 .0520 1 0.91 4.90 .0521 1 0.91 5.13 .0522 1 0.91 3.57 .0523 1 0.91 1.48 .0524 1 0.91 1.35 .0525 1 0.91 1.28 .0526 1 0.91 1.23 .0527 1 0.91 1.19 .0528 1 0.91 1.14 .0529 1 0.91 1.16 .0530 1 0.91 1.13 .0531 1 0.91 1.11 .0532 1 0.91 1.18 .0533 1 0.91 1.15 .0534 1 0.91 1.89 .0535 1 0.91 3.77 .0536 1 0.91 6.97 .0537 1 0.91 7.86 .0538 1 0.91 8.46 .0539 1 0.91 10.02 .0540 1 0.91 9.30 .0541 1 0.91 9.71 .0542 1 0.91 8.38 .0543 1 0.91 8.21 .0544 1 0.91 7.39 .0545 1 0.91 6.73 .0546 1 0.91 6.92 .0547 1 0.91 7.25 .0548 1 0.91 8.13 .0549 1 0.91 8.94 .0550 1 0.91 8.84 .0551 1 0.91 9.22 .0552 1 0.91 9.96 .0553 1 0.91 9.67 .0554 2 0.91 8.67 .0555 1 0.91 9.51 .0556 1 0.91 10.70 .0557 1 0.91 11.70 .0558 1 0.91 12.13 .0559 1 0.91 12.87 .0560 1 0.91 15.29 .0561 1 0.91 18.27 .0562 1 0.91 18.93 .0563 1 0.91 17.33 .0564 1 0.91 17.36 .0565 1 0.91 15.57 .0566 1 0.91 13.80 .0567 1 0.91 13.31 .0568 1 0.91 15.48 .0569 1 0.91 16.13 .0570 1 0.91 13.75 .0571 1 0.91 9.26 .0572 1 0.91 9.08 .0573 1 0.91 5.54 .0574 1 0.91 5.45 .0575 1 0.91 5.52 .0576 1 0.91 6.07 .0577 1 0.91 6.13 .0578 1 0.91 5.45 .0579 1 0.91 5.52 .0580 1 0.91 6.05 .0581 1 0.91 6.84 .0582 1 0.91 6.72 .0583 1 0.91 7.34 .0584 1 0.91 7.75 .0585 1 0.91 8.90 .0586 1 0.91 9.17 .0587 1 0.91 8.53 .0588 1 0.91 8.15 .0589 1 0.90 7.37 .0590 1 0.90 6.60 .0591 1 0.90 6.65 .0592 1 0.90 7.22 .0593 1 0.90 9.03 .0594 1 0.90 5.92 .0595 1 0.90 5.06 .0596 1 0.90 3.98 .0597 1 0.90 1.47 .0598 1 0.90 1.31 .0599 1 0.90 1.24 .0600 1 0.90 1.20 .0601 1 0.90 1.30 .0602 1 0.90 1.19 .0603 1 0.90 1.12 .0604 1 0.90 1.11 .0605 1 0.90 1.10 .0606 1 0.90 1.03 .0607 1 0.90 1.14 .0608 3 0.90 1.11 .0609 3 0.90 1.16 .0610 1 0.90 1.21 .0611 1 0.90 1.04 .0612 1 0.90 1.07 .0613 1 0.90 1.09 .0614 1 0.90 1.00 .0615 1 0.90 1.09 .0616 1 0.90 1.02 .0617 1 0.90 1.07 .0618 1 0.90 1.07 .0619 1 0.90 1.15 .0620 1 0.90 1.20 .0621 2 0.90 1.22 .0622 1 0.90 1.04 .0623 1 0.90 1.08 .0624 1 0.90 1.03 .0625 3 0.90 1.06 .0626 1 0.90 1.17 .0627 1 0.90 1.13 .0628 1 0.90 1.08 .0629 1 0.90 1.00 .0630 1 0.90 1.04 .0631 1 0.90 1.06 .0632 1 0.90 1.00 .0633 1 0.90 1.02 .0634 2 0.90 1.00 .0635 1 0.90 1.10 .0636 1 0.90 1.06 .0637 1 0.90 1.05 .0638 1 0.90 1.07 .0639 1 0.90 1.10 .0640 1 0.90 1.02 .0641 3 0.90 1.20 .0642 1 0.90 1.18 .0643 1 0.90 1.12 .0644 1 0.90 1.02 .0645 1 0.90 1.04 .0646 1 0.90 1.08 .0647 1 0.90 1.11 .0648 3 0.90 1.19 .0649 3 0.90 1.18 .0650 2 0.90 1.22 .0651 1 0.90 1.14 .0652 1 0.90 1.09 .0653 1 0.90 1.15 .0654 1 0.90 1.15 .0655 2 0.90 1.07 .0656 1 0.90 1.13 .0657 1 0.90 1.13 .0658 1 0.90 1.23 .0659 1 0.90 1.14 .0660 1 0.90 1.16 .0661 1 0.90 1.13 .0662 1 0.90 1.08 .0663 1 0.90 1.03 .0664 1 0.90 1.05 .0665 1 0.90 1.02 .0666 1 0.90 1.02 .0667 1 0.90 1.02 .0668 1 0.90 1.08 .0669 1 0.90 1.11 .0670 1 0.90 1.05 .0671 1 0.90 1.12 .0672 1 0.90 1.06 .0673 1 0.90 1.11 .0674 1 0.90 1.07 .0675 1 0.90 1.12 .0676 1 0.90 1.09 .0677 1 0.90 1.07 .0678 1 0.90 1.05 .0679 1 0.90 1.07 .0680 1 0.90 1.18 .0681 1 0.90 1.15 .0682 1 0.90 1.21 .0683 1 0.90 1.11 .0684 1 0.90 1.19 .0685 1 0.90 1.13 .0686 1 0.90 1.12 .0687 1 0.90 1.07 .0688 1 0.90 1.14 .0689 1 0.90 1.15 .0690 1 0.90 1.25 .0691 1 0.90 1.72 .0692 1 0.90 3.07 .0693 1 0.90 5.98 .0694 1 0.90 6.89 .0695 1 0.90 7.40 .0696 1 0.90 8.30 .0697 1 0.90 8.36 .0698 1 0.90 8.20 .0699 1 0.90 7.52 .0700 1 0.90 7.09 .0701 1 0.90 6.85 .0702 1 0.90 6.09 .0703 1 0.90 6.52 .0704 1 0.90 7.17 .0705 1 0.90 7.87 .0706 1 0.90 7.82 .0707 1 0.90 7.75 .0708 1 0.90 8.71 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1.17 .1817 1 0.95 1.21 .1818 1 0.95 1.17 .1819 1 0.95 1.17 .1820 1 0.95 1.14 .1821 1 0.95 1.20 .1822 1 0.95 1.14 .1823 3 0.95 1.25 .1824 1 0.95 1.33 .1825 1 0.95 1.33 .1826 1 0.95 1.26 .1827 1 0.95 1.23 .1828 1 0.95 1.23 .1829 1 0.95 1.22 .1830 1 0.95 1.30 .1831 1 0.95 1.33 .1832 2 0.95 1.13 .1833 1 0.95 1.23 .1834 2 0.95 1.29 .1835 1 0.95 1.32 .1836 1 0.95 1.31 .1837 1 0.95 1.30 .1838 1 0.95 1.18 .1839 1 0.95 1.17 .1840 1 0.95 1.22 .1841 1 0.95 1.21 .1842 1 0.95 1.25 .1843 1 0.95 1.24 .1844 1 0.95 1.25 .1845 1 0.95 1.22 .1846 3 0.95 1.19 .1847 3 0.95 1.25 .1848 1 0.95 1.12 .1849 1 0.95 1.14 .1850 1 0.95 1.20 .1851 1 0.95 1.22 .1852 1 0.95 1.14 .1853 2 0.95 1.14 .1854 1 0.95 1.21 .1855 1 0.95 1.21 .1856 1 0.95 1.18 .1857 1 0.95 1.19 .1858 1 0.95 1.20 .1859 1 0.95 1.15 .1860 1 0.95 1.15 .1861 1 0.95 1.22 .1862 1 0.95 1.16 .1863 1 0.95 1.23 .1864 1 0.95 1.20 .1865 1 0.95 1.13 .1866 1 0.95 1.16 .1867 1 0.95 1.11 .1868 1 0.95 1.21 .1869 1 0.95 1.09 .1870 1 0.95 1.15 .1871 1 0.95 1.23 .1872 1 0.95 1.17 .1873 2 0.95 1.27 .1874 1 0.95 1.23 .1875 1 0.95 1.15 .1876 1 0.95 1.27 .1877 2 0.95 1.25 .1878 1 0.95 1.16 .1879 1 0.95 1.15 .1880 1 0.95 1.11 .1881 1 0.95 1.22 .1882 1 0.95 1.26 .1883 1 0.95 1.10 .1884 1 0.95 1.20 .1885 1 0.95 1.12 .1886 1 0.95 1.19 .1887 1 0.95 1.21 .1888 1 0.95 1.23 .1889 1 0.95 1.20 .1890 1 0.95 1.16 .1891 1 0.95 1.19 .1892 1 0.95 1.19 .1893 1 0.95 1.21 .1894 2 0.95 1.23 .1895 1 0.95 1.22 .1896 1 0.95 1.09 .1897 2 0.95 1.14 .1898 2 0.95 1.19 .1899 1 0.95 1.18 .1900 1 0.95 1.15 .1901 1 0.95 1.15 .1902 1 0.95 1.18 .1903 1 0.95 1.11 .1904 1 0.95 1.12 .1905 1 0.95 1.19 .1906 1 0.95 1.16 .1907 4 0.95 1.18 .1908 1 0.95 1.20 .1909 1 0.95 1.11 .1910 1 0.95 1.14 .1911 1 0.95 1.38 .1912 5 0.95 1.16 .1913 1 0.95 1.11 .1914 1 0.95 1.27 .1915 1 0.95 1.17 .1916 1 0.95 1.13 .1917 1 0.95 1.16 .1918 1 0.95 1.11 .1919 1 0.95 1.18 .1920 2 0.95 1.29 .1921 1 0.95 1.13 .1922 1 0.95 1.16 .1923 1 0.95 1.09 .1924 1 0.95 1.19 .1925 1 0.95 1.19 .1926 2 0.95 1.16 .1927 1 0.95 1.22 .1928 1 0.95 1.20 .1929 1 0.95 1.11 .1930 1 0.95 1.17 .1931 1 0.95 1.15 .1932 1 0.95 1.24 .1933 2 0.95 1.18 .1934 1 0.95 1.25 .1935 3 0.95 1.15 .1936 1 0.95 1.12 .1937 1 0.95 1.13 .1938 1 0.95 1.18 .1939 1 0.95 1.13 .1940 1 0.95 1.11 .1941 1 0.95 1.20 .1942 1 0.95 1.18 .1943 1 0.95 1.17 .1944 1 0.95 1.13 .1945 1 0.95 1.19 .1946 1 0.95 1.18 .1947 1 0.95 1.21 .1948 1 0.95 1.11 .1949 1 0.95 1.12 .1950 1 0.95 1.12 .1951 1 0.95 1.27 .1952 1 0.95 1.14 .1953 1 0.95 1.17 .1954 1 0.95 1.18 .1955 3 0.95 1.10 .1956 1 0.95 1.18 .1957 2 0.95 1.21 .1958 1 0.95 1.20 .1959 2 0.95 1.21 .1960 1 0.95 1.26 .1961 1 0.95 1.20 .1962 1 0.95 1.17 .1963 2 0.95 1.11 .1964 1 0.95 1.24 .1965 1 0.95 1.16 .1966 1 0.95 1.20 .1967 1 0.95 1.13 .1968 1 0.95 1.13 .1969 1 0.95 1.29 .1970 3 0.95 1.20 .1971 1 0.95 1.12 .1972 1 0.95 1.16 .1973 1 0.95 1.15 .1974 1 0.95 1.12 .1975 1 0.95 1.24 .1976 1 0.95 1.17 .1977 1 0.95 1.20 .1978 1 0.95 1.13 .1979 1 0.95 1.20 .1980 1 0.95 1.31 .1981 1 0.95 1.24 .1982 1 0.95 1.27 .1983 1 0.95 1.11 .1984 1 0.95 1.13 .1985 1 0.95 1.16 .1986 1 0.95 1.04 .1987 1 0.95 1.15 .1988 1 0.95 1.11 .1989 1 0.95 1.18 .1990 3 0.95 1.14 .1991 2 0.95 1.15 .1992 2 0.95 1.47 .1993 3 0.95 1.19 .1994 3 0.95 1.19 .1995 1 0.95 1.23 .1996 1 0.95 1.13 .1997 1 0.95 1.11 .1998 1 0.95 1.17 .1999 2 0.95 1.14 .2000 2 0.95 1.15 .2001 1 0.95 1.16 .2002 1 0.95 1.14 .2003 1 0.95 1.17 .2004 1 0.95 1.19 .2005 1 0.95 1.11 .2006 1 0.95 1.21 .2007 1 0.95 1.21 .2008 2 0.95 1.28 .2009 3 0.95 1.22 .2010 2 0.95 1.19 .2011 2 0.95 1.35 .2012 1 0.95 1.14 .2013 1 0.95 1.23 .2014 1 0.95 1.08 .2015 1 0.95 1.15 .2016 1 0.95 1.20 .2017 1 0.95 1.17 .2018 1 0.95 1.21 .2019 1 0.95 1.16 .2020 1 0.95 1.18 .2021 1 0.95 1.14 .2022 1 0.95 1.12 .2023 1 0.95 1.22 .2024 1 0.95 1.15 .2025 1 0.95 1.05 .2026 1 0.95 1.18 .2027 1 0.95 1.12 .2028 1 0.95 1.12 .2029 1 0.95 1.15 .2030 1 0.95 1.18 .2031 1 0.95 1.22 .2032 1 0.95 1.19 .2033 1 0.95 1.16 .2034 1 0.95 1.24 .2035 1 0.95 1.20 .2036 1 0.95 1.13 .2037 1 0.95 1.17 .2038 1 0.95 1.22 .2039 1 0.95 1.28 .2040 1 0.95 1.17 .2041 1 0.95 1.11 .2042 1 0.95 1.19 .2043 2 0.95 1.27 .2044 3 0.95 1.12 .2045 2 0.95 1.15 .2046 1 0.95 1.23 .2047 1 0.95 1.25 EXTRACT_IMAGE: r2: masked 379 pixels SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read ARCFIT_GUESS: r2: Searching about coefficients = 3.87000 0.10080 -0.00440 -0.00022 ARCFIT_ITER: r2: Searching lags from -762 to 760 spaced 2 pixels Step 0 of 100 Step 1 of 100 Step 2 of 100 Step 3 of 100 Step 4 of 100 Step 5 of 100 Step 6 of 100 Step 7 of 100 Step 8 of 100 Step 9 of 100 Step 10 of 100 Step 11 of 100 Step 12 of 100 Step 13 of 100 Step 14 of 100 Step 15 of 100 Step 16 of 100 Step 17 of 100 Step 18 of 100 Step 19 of 100 Step 20 of 100 Step 21 of 100 Step 22 of 100 Step 23 of 100 Step 24 of 100 Step 25 of 100 Step 26 of 100 Step 27 of 100 Step 28 of 100 Step 29 of 100 Step 30 of 100 Step 31 of 100 Step 32 of 100 Step 33 of 100 Step 34 of 100 Step 35 of 100 Step 36 of 100 Step 37 of 100 Step 38 of 100 Step 39 of 100 Step 40 of 100 Step 41 of 100 Step 42 of 100 Step 43 of 100 Step 44 of 100 Step 45 of 100 Step 46 of 100 Step 47 of 100 Step 48 of 100 Step 49 of 100 Step 50 of 100 Step 51 of 100 Step 52 of 100 Step 53 of 100 Step 54 of 100 Step 55 of 100 Step 56 of 100 Step 57 of 100 Step 58 of 100 Step 59 of 100 Step 60 of 100 Step 61 of 100 Step 62 of 100 Step 63 of 100 Step 64 of 100 Step 65 of 100 Step 66 of 100 Step 67 of 100 Step 68 of 100 Step 69 of 100 Step 70 of 100 Step 71 of 100 Step 72 of 100 Step 73 of 100 Step 74 of 100 Step 75 of 100 Step 76 of 100 Step 77 of 100 Step 78 of 100 Step 79 of 100 Step 80 of 100 Step 81 of 100 Step 82 of 100 Step 83 of 100 Step 84 of 100 Step 85 of 100 Step 86 of 100 Step 87 of 100 Step 88 of 100 Step 89 of 100 Step 90 of 100 Step 91 of 100 Step 92 of 100 Step 93 of 100 Step 94 of 100 Step 95 of 100 Step 96 of 100 Step 97 of 100 Step 98 of 100 Step 99 of 100 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Searching about coefficients = 3.86863 0.10078 -0.00438 -0.00022 ARCFIT_ITER: r2: Searching lags from -152 to 152 spaced 1 pixels Step 0 of 125 Step 1 of 125 Step 2 of 125 Step 3 of 125 Step 4 of 125 Step 5 of 125 Step 6 of 125 Step 7 of 125 Step 8 of 125 Step 9 of 125 Step 10 of 125 Step 11 of 125 Step 12 of 125 Step 13 of 125 Step 14 of 125 Step 15 of 125 Step 16 of 125 Step 17 of 125 Step 18 of 125 Step 19 of 125 Step 20 of 125 Step 21 of 125 Step 22 of 125 Step 23 of 125 Step 24 of 125 Step 25 of 125 Step 26 of 125 Step 27 of 125 Step 28 of 125 Step 29 of 125 Step 30 of 125 Step 31 of 125 Step 32 of 125 Step 33 of 125 Step 34 of 125 Step 35 of 125 Step 36 of 125 Step 37 of 125 Step 38 of 125 Step 39 of 125 Step 40 of 125 Step 41 of 125 Step 42 of 125 Step 43 of 125 Step 44 of 125 Step 45 of 125 Step 46 of 125 Step 47 of 125 Step 48 of 125 Step 49 of 125 Step 50 of 125 Step 51 of 125 Step 52 of 125 Step 53 of 125 Step 54 of 125 Step 55 of 125 Step 56 of 125 Step 57 of 125 Step 58 of 125 Step 59 of 125 Step 60 of 125 Step 61 of 125 Step 62 of 125 Step 63 of 125 Step 64 of 125 Step 65 of 125 Step 66 of 125 Step 67 of 125 Step 68 of 125 Step 69 of 125 Step 70 of 125 Step 71 of 125 Step 72 of 125 Step 73 of 125 Step 74 of 125 Step 75 of 125 Step 76 of 125 Step 77 of 125 Step 78 of 125 Step 79 of 125 Step 80 of 125 Step 81 of 125 Step 82 of 125 Step 83 of 125 Step 84 of 125 Step 85 of 125 Step 86 of 125 Step 87 of 125 Step 88 of 125 Step 89 of 125 Step 90 of 125 Step 91 of 125 Step 92 of 125 Step 93 of 125 Step 94 of 125 Step 95 of 125 Step 96 of 125 Step 97 of 125 Step 98 of 125 Step 99 of 125 Step 100 of 125 Step 101 of 125 Step 102 of 125 Step 103 of 125 Step 104 of 125 Step 105 of 125 Step 106 of 125 Step 107 of 125 Step 108 of 125 Step 109 of 125 Step 110 of 125 Step 111 of 125 Step 112 of 125 Step 113 of 125 Step 114 of 125 Step 115 of 125 Step 116 of 125 Step 117 of 125 Step 118 of 125 Step 119 of 125 Step 120 of 125 Step 121 of 125 Step 122 of 125 Step 123 of 125 Step 124 of 125 TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 ARCFIT_GUESS: r2: Initial wavelength fit = 3.86863 0.10078 -0.00438 -0.00026 ARCFIT_GUESS: r2: Initial correlation = 0.760022 FITARCIMAGE_GLOBAL: r2: Best correlation = 0.760022 FITARCIMAGE_GLOBAL: r2: ASET = 3.86863 0.10078 -0.00438 -0.00026 SPCALIB: r2: Searching for wavelength solution FITARCIMAGE_GLOBAL: r2: Reading lamp file /u/dss/spectro/103/idlspec2d/v5_3/etc/lamphgcdne.dat % READCOL: Skipping Line 1 % READCOL: Skipping Line 2 % READCOL: Skipping Line 61 % READCOL: Skipping Line 80 % READCOL: 101 valid lines read TRACE# NPOINTS NREJECT 0 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Tracing 35 arc lines TRACE# NPOINTS NREJECT 0 320 0 1 320 0 2 320 0 3 320 0 4 320 0 5 320 0 6 320 0 7 320 0 8 320 0 9 320 0 10 320 0 11 320 0 12 320 0 13 320 0 14 320 0 15 320 0 16 320 0 17 320 0 18 320 0 19 320 0 20 320 0 21 320 0 22 320 0 23 320 0 24 320 0 25 320 0 26 320 0 27 320 0 28 320 0 29 320 0 30 320 0 31 320 0 32 320 0 33 320 0 34 320 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: Iterating flux-weighted centers . 0 320 0.117 . 1 320 0.110 . 2 320 0.127 . 3 320 0.131 . 4 320 0.119 . 5 320 0.125 . 6 320 0.120 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 7 11 81.715393 0.28405319 . 7 320 0.128 . 8 320 0.118 . 9 320 0.120 . 10 320 0.119 . 11 320 0.121 . 12 320 0.114 . 13 320 0.119 . 14 320 0.117 . 15 320 0.118 . 16 320 0.116 . 17 320 0.124 . 18 320 0.114 . 19 320 0.111 . 20 320 0.122 . 21 320 0.128 . 22 320 0.122 . 23 320 0.118 . 24 320 0.120 . 25 320 0.123 . 26 320 0.120 . 27 320 0.118 . 28 320 0.117 . 29 320 0.120 . 30 320 0.135 . 31 320 0.118 . 32 320 0.115 . 33 320 0.119 . 34 320 0.125 . 35 320 0.120 . 36 320 0.114 . 37 320 0.117 . 38 320 0.116 . 39 320 0.118 . 40 320 0.129 . 41 320 0.127 . 42 320 0.115 . 43 320 0.128 . 44 320 0.122 . 45 320 0.125 . 46 320 0.121 . 47 320 0.123 . 48 320 0.127 . 49 320 0.136 . 50 320 0.130 . 51 320 0.136 . 52 320 0.130 . 53 320 0.149 . 54 320 0.091 . 55 320 0.119 . 56 320 0.121 . 57 320 0.123 . 58 320 0.124 . 59 320 0.124 . 60 320 0.129 . 61 320 0.117 . 62 320 0.123 . 63 320 0.116 . 64 320 0.126 . 65 320 0.127 . 66 320 0.135 . 67 320 0.117 . 68 320 0.121 . 69 320 0.121 . 70 320 0.128 . 71 320 0.152 . 72 320 0.126 . 73 320 0.122 . 74 320 0.142 . 75 320 0.134 . 76 320 0.136 . 77 320 0.137 . 78 320 0.134 . 79 320 0.133 . 80 320 0.128 . 81 320 0.130 . 82 320 0.128 . 83 320 0.131 . 84 320 0.129 . 85 320 0.128 . 86 320 0.125 . 87 320 0.128 . 88 320 0.129 . 89 320 0.124 . 90 320 0.138 . 91 320 0.126 . 92 320 0.130 . 93 320 0.127 . 94 320 0.132 . 95 320 0.125 . 96 320 0.126 . 97 320 0.124 . 98 320 0.122 . 99 320 0.128 . 100 320 0.119 . 101 320 0.128 . 102 320 0.125 . 103 320 0.125 . 104 320 0.123 . 105 320 0.131 . 106 320 0.125 . 107 320 0.122 . 108 320 0.125 . 109 320 0.121 . 110 320 0.118 . 111 320 0.129 . 112 320 0.123 . 113 320 0.126 . 114 320 0.128 . 115 320 0.124 . 116 320 0.131 . 117 320 0.128 . 118 320 0.125 . 119 320 0.130 . 120 320 0.128 . 121 320 0.128 . 122 320 0.127 . 123 320 0.133 . 124 320 0.124 . 125 320 0.126 . 126 320 0.123 . 127 320 0.123 . 128 320 0.126 . 129 320 0.140 . 130 320 0.136 . 131 320 0.132 . 132 320 0.134 . 133 320 0.126 . 134 320 0.125 . 135 320 0.124 . 136 320 0.125 . 137 320 0.128 . 138 320 0.139 . 139 320 0.139 . 140 320 0.129 . 141 320 0.135 . 142 320 0.133 . 143 320 0.129 . 144 320 0.125 . 145 320 0.125 . 146 320 0.120 . 147 320 0.124 . 148 320 0.137 . 149 320 0.141 . 150 320 0.136 . 151 320 0.136 . 152 320 0.142 . 153 320 0.143 . 154 320 0.129 . 155 320 0.135 . 156 320 0.131 . 157 320 0.132 . 158 320 0.126 . 159 320 0.130 . 160 320 0.124 . 161 320 0.126 . 162 320 0.123 . 163 320 0.174 . 164 320 0.132 . 165 320 0.135 . 166 320 0.137 . 167 320 0.142 . 168 320 0.149 . 169 320 0.123 . 170 320 0.133 . 171 320 0.142 . 172 320 0.132 . 173 320 0.135 . 174 320 0.131 . 175 320 0.130 . 176 320 0.125 . 177 320 0.134 . 178 320 0.138 . 179 320 0.138 . 180 320 0.131 . 181 320 0.150 . 182 320 0.140 . 183 320 0.132 . 184 320 0.145 . 185 320 0.147 . 186 320 0.136 . 187 320 0.137 . 188 320 0.134 . 189 320 0.153 . 190 320 0.139 . 191 320 0.148 . 192 320 0.139 . 193 320 0.138 . 194 320 0.142 . 195 320 0.142 . 196 320 0.134 . 197 320 0.140 . 198 320 0.146 . 199 320 0.144 . 200 320 0.141 . 201 320 0.135 . 202 320 0.137 . 203 320 0.133 . 204 320 0.134 . 205 320 0.136 . 206 320 0.136 . 207 320 0.135 . 208 320 0.130 . 209 320 0.147 . 210 320 0.136 . 211 320 0.149 . 212 320 0.148 . 213 320 0.146 . 214 320 0.132 . 215 320 0.141 . 216 320 0.142 . 217 320 0.134 . 218 320 0.141 . 219 320 0.137 . 220 320 0.139 . 221 320 0.148 . 222 320 0.139 . 223 320 0.141 . 224 320 0.110 . 225 320 0.133 . 226 320 0.136 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 227 25 235.62410 6.8577801 0.0000000 0.0000000 0.0000000 3 . 227 320 0.130 . 228 320 0.118 . 229 320 0.144 . 230 320 0.142 . 231 320 0.138 . 232 320 0.151 . 233 320 0.136 . 234 320 0.144 . 235 320 0.164 . 236 320 0.155 . 237 320 0.143 . 238 320 0.139 . 239 320 0.142 . 240 320 0.136 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 0 -15.794351 2.6044646 0.71927608 -0.0000000 8.5541865 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 1 -9.2022001 2.2533607 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 2 -14.426819 2.3340632 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 3 -11.083835 2.6350072 0.56061478 -0.0000000 8.2908679 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 4 -37.860055 2.4108462 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 5 -31.576826 2.4914703 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 6 -25.027405 2.8435917 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 7 -9.9625653 2.5785732 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 8 -14.510952 2.8976631 2.2735559 -0.0000000 8.4660340 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 9 -21.255960 2.7110190 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 10 -28.829801 2.7081117 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 11 -42.157029 2.8287943 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 12 -75.996506 3.4201516 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 14 -43.178932 4.3034822 0.39303569 -0.0000000 8.9150657 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 15 -5.4279710 2.8105678 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 16 -9.9173118 2.7336987 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 17 -11.757245 3.2070021 0.45912495 -0.0000000 9.6651658 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 18 -42.473363 3.5635680 0.42638171 -0.0000000 7.7720956 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 19 -10.520115 2.9755256 0.54612787 -0.0000000 9.2231253 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 20 -12.515331 3.2078594 0.37656032 -0.0000000 9.4892286 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 21 -18.750690 2.3730623 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 22 -10.078710 2.7542592 1.5314736 -0.0000000 8.7032035 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 23 -9.8502319 2.6580240 0.38471304 -0.0000000 8.5218795 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 24 -7.3155906 2.3765233 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 25 -10.699279 2.7007779 0.64103613 -0.0000000 8.6162187 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 26 -11.089346 3.4053415 1.1049925 -0.0000000 6.9404743 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 27 -11.964455 2.4905364 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 241 28 -35.352272 0.27901239 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 29 -16.745608 3.1436061 0.82154407 -0.0000000 9.5816525 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 30 -20.492959 2.9742264 0.40337546 -0.0000000 9.4445562 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 31 -24.650856 3.4993302 0.55589784 -0.0000000 7.4752846 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 32 -16.476709 3.1181227 0.57793496 -0.0000000 10.037889 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 33 -14.944539 3.0771093 0.33955580 -0.0000000 10.019904 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 241 34 -11.100694 2.7590885 0.0000000 0.0000000 0.0000000 3 . 241 320 0.199 . 242 320 0.128 . 243 320 0.128 . 244 320 0.130 . 245 320 0.131 . 246 320 0.133 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 247 18 148.34024 8.6393566 0.36852079 0.0000000 26.837813 1 . 247 320 0.141 . 248 320 0.137 . 249 320 0.127 . 250 320 0.135 . 251 320 0.131 . 252 320 0.136 . 253 320 0.144 . 254 320 0.131 . 255 320 0.148 . 256 320 0.143 . 257 320 0.140 . 258 320 0.142 . 259 320 0.141 . 260 320 0.133 . 261 320 0.134 . 262 320 0.139 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 0 -12.349255 2.3226073 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 1 -11.016306 3.0434575 0.35948491 0.40352279 8.4760387 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 2 -11.740230 2.7239420 1.1198421 -0.0000000 7.6204056 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 3 -10.995161 2.6573432 0.72963027 -0.0000000 8.4727094 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 4 -31.102078 3.0850941 0.83412174 -0.0000000 7.3734426 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 6 -30.507125 0.29721799 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 7 -20.461087 2.5074042 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 8 -16.328774 2.3750827 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 9 -19.832445 2.7102655 0.0000000 0.0000000 0.0000000 4 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 10 -40.647364 3.4633566 0.39760039 -0.0000000 7.2381210 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 11 -48.026229 0.27815760 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 12 -66.883629 4.9877852 0.35356311 -0.0000000 9.7993892 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 14 -36.361199 5.0579353 0.30881213 0.36609372 8.9064398 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 15 -19.790161 3.3969196 0.44371004 0.48576796 9.6831141 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 263 16 -20.913244 0.27808273 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 17 -12.504894 3.7983896 0.62072443 0.72996988 8.6482794 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 18 -19.361207 3.2590092 0.69029553 -0.0000000 9.7591547 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 19 -12.819019 2.9334501 0.49748805 -0.0000000 9.0374513 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 20 -25.271865 3.1076727 0.30540632 -0.0000000 9.7680393 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 21 -23.844141 3.2610866 0.60411259 -0.0000000 6.9469539 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 22 -8.5621286 3.3149892 0.64798886 0.74080675 8.0478599 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 23 -7.4971384 2.7681414 1.3010602 -0.0000000 8.0399258 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 24 -5.9894182 2.6849651 0.78413842 -0.0000000 8.5435017 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 25 -0.26779838 2.4714088 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 26 -10.975902 3.1726623 0.51604085 0.49000802 9.7838191 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 27 -17.244531 3.4616941 1.1643038 -0.0000000 7.0568190 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 28 -24.908315 2.7296890 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 29 -21.639774 3.0704731 1.2482940 -0.0000000 9.7896182 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 30 -25.466979 2.6231163 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 31 -19.264608 2.7126809 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 32 -25.611750 3.1500138 0.32593084 -0.0000000 9.6579636 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 33 -21.950452 2.6770426 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 263 34 -19.354836 3.4966290 0.64557015 -0.0000000 7.4254977 1 . 263 320 0.260 . 264 320 0.143 . 265 320 0.135 . 266 320 0.128 . 267 320 0.137 . 268 320 0.139 . 269 320 0.141 . 270 320 0.131 . 271 320 0.139 . 272 320 0.124 . 273 320 0.137 . 274 320 0.122 . 275 320 0.125 . 276 320 0.101 . 277 320 0.130 . 278 320 0.133 . 279 320 0.140 . 280 320 0.147 . 281 320 0.136 . 282 320 0.140 . 283 320 0.135 . 284 320 0.128 . 285 320 0.127 . 286 320 0.125 . 287 320 0.130 . 288 320 0.131 . 289 320 0.128 . 290 320 0.130 . 291 320 0.129 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 0 -8.4451834 2.6865356 0.40724642 -0.0000000 7.9485954 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 1 -7.7644135 2.7915329 4.5481365 5.1025211 7.6269560 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 2 -9.9300140 2.5549004 0.76639896 -0.0000000 8.2036602 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 3 -9.9390953 2.3452442 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 4 -19.525610 2.7831832 0.43381295 -0.0000000 8.7691925 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 5 -33.670524 3.5073502 0.56003418 -0.0000000 7.1806502 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 6 -32.318504 3.6870731 0.40855257 -0.0000000 7.6945772 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 7 -40.383173 2.5135026 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 8 -17.489882 3.3321865 0.74932660 -0.0000000 6.9208408 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 9 -36.379112 0.22269468 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 10 -26.242346 3.6647337 0.58672104 -0.0000000 7.6358027 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 11 -38.159009 4.0223837 0.31421177 -0.0000000 8.4471748 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 12 -35.820461 4.7299068 0.58258186 -0.0000000 9.4792039 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 14 -45.098892 0.27116338 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 15 -30.316449 2.7038889 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 16 -28.582703 0.21262721 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 17 -38.317609 3.4786048 0.51617648 -0.0000000 7.2106697 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 18 -23.402550 2.8825955 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 19 -22.027243 3.9095827 0.39971736 0.47968805 7.6053597 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 20 -24.360286 2.7813315 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 21 -16.789718 2.8836769 2.9625632 0.0000000 8.0465367 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 22 -14.657485 3.2615678 0.58939128 0.63067265 8.5736481 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 23 -13.849924 2.4473595 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 24 -7.9237920 2.6098082 0.46924652 -0.0000000 8.3014324 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 25 -13.049637 2.6715898 0.46706876 -0.0000000 8.7203153 1 TRACE_MPFITPEAK: r2: POOR: spec, arc, peak, xerr, status, msg 292 26 -20.664989 0.27352333 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 27 -13.779476 2.5267976 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 28 -31.339613 2.5929200 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 29 -17.622359 2.7221203 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 30 -23.050225 2.9711817 0.61277399 -0.0000000 9.4514699 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 31 -24.017751 3.0452733 0.39281338 -0.0000000 9.5894962 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 32 -16.400886 2.8381098 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 33 -17.814726 2.7618010 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 292 34 -17.480024 2.6992121 0.0000000 0.0000000 0.0000000 3 . 292 320 0.254 . 293 320 0.137 . 294 320 0.134 . 295 320 0.129 . 296 320 0.123 . 297 320 0.123 . 298 320 0.128 . 299 320 0.128 . 300 320 0.129 . 301 320 0.126 . 302 320 0.135 . 303 320 0.137 . 304 320 0.125 . 305 320 0.134 . 306 320 0.131 . 307 320 0.125 . 308 320 0.129 . 309 320 0.132 . 310 320 0.133 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 0 -15.229127 3.0303885 0.44738038 0.49675610 7.9582667 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 1 -17.313191 3.1953830 0.70937337 -0.0000000 6.5035430 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 2 -17.302784 3.0933470 0.70151624 -0.0000000 6.4886711 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 3 -8.4924258 2.6101199 1.1595843 -0.0000000 7.8156595 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 4 -29.351854 3.2380218 0.39690385 -0.0000000 6.6365923 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 5 -35.184050 2.4807662 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 6 -33.366728 3.5937591 0.61364801 -0.0000000 7.1587353 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 7 -60.552280 2.4414206 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 8 -9.8560479 2.4664676 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 9 -27.951502 2.7597939 0.37199499 -0.0000000 8.5975411 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 10 -32.981757 2.4279934 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 11 -42.913407 3.5751536 0.33229053 0.40092934 9.4374472 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 12 -57.040388 4.0864324 0.39122137 -0.0000000 8.1698446 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 13 -100.42142 4.4502860 0.74355580 -0.0000000 9.3557971 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 14 -34.946825 2.8248912 0.0000000 0.0000000 0.0000000 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 15 -54.202248 2.5694808 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 16 -31.355331 3.2787674 0.63673330 -0.0000000 8.2077246 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 17 -36.569738 3.1203151 0.37889801 0.34934530 9.7700761 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 18 -42.258306 3.6800164 0.37159730 -0.0000000 7.5623205 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 19 -28.771404 3.2525817 1.0589414 -0.0000000 6.4462562 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 20 -33.146340 2.6590039 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 21 -21.000534 2.4095391 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 22 -17.778931 2.7022169 0.38127208 -0.0000000 8.6374487 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 23 -22.765908 3.2031375 0.75881208 -0.0000000 6.7903480 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 24 -13.504517 2.7476248 2.7376688 0.0000000 8.0761478 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 25 -14.971217 2.7007002 0.65933546 -0.0000000 8.4569772 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 26 -24.072130 2.7889095 0.40101662 -0.0000000 8.8467827 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 27 -21.928816 2.8856183 0.39252542 -0.0000000 9.1818682 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 28 -43.146817 2.5633022 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 29 -32.293588 2.5872944 0.0000000 0.0000000 0.0000000 3 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 30 -23.612838 2.6532509 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 31 -41.023211 2.9108323 0.75169177 -0.0000000 9.6979394 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 32 -41.207057 2.9310202 0.69727913 -0.0000000 9.0955141 1 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 33 -31.308015 2.5668374 0.0000000 0.0000000 0.0000000 2 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 311 34 -28.548798 2.6240316 0.0000000 0.0000000 0.0000000 3 . 311 320 0.231 . 312 320 0.139 . 313 320 0.123 . 314 320 0.136 . 315 320 0.129 . 316 320 0.126 . 317 320 0.129 TRACE_MPFITPEAK: r2: FAIL: spec, arc, peak, xerr, status, msg 318 34 130.29087 7.3991781 0.0000000 0.0000000 0.0000000 3 . 318 320 0.129 . 319 320 0.076 FITARCIMAGE_GLOBAL: r2: Discarding trace 0, at 5852.4880 with 43 centroids too close to an edge FITARCIMAGE_GLOBAL: r2: Line 1, at 5881.8950 Ang: ERR= 0.0100017 ERR_RMS= 0.000626484 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 2, at 5944.8340 Ang: ERR= 0.00709890 ERR_RMS= 0.000403120 pix, 8 masked. FITARCIMAGE_GLOBAL: r2: Line 3, at 6029.9970 Ang: ERR= 0.0132673 ERR_RMS= 0.000834276 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 4, at 6074.3380 Ang: ERR= 0.00598143 ERR_RMS= 0.000315789 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 5, at 6096.1630 Ang: ERR= 0.00451838 ERR_RMS= 0.0106538 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 6, at 6143.0630 Ang: ERR= 0.00359241 ERR_RMS= 0.0165447 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 7, at 6163.5940 Ang: ERR= 0.00668667 ERR_RMS= 0.000346985 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 8, at 6217.2810 Ang: ERR= 0.00823861 ERR_RMS= 0.000428571 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 9, at 6266.4950 Ang: ERR= 0.00446547 ERR_RMS= 0.0122973 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 10, at 6304.7890 Ang: ERR= 0.00728638 ERR_RMS= 0.000368190 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 11, at 6334.4280 Ang: ERR= 0.00374760 ERR_RMS= 0.0221022 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 12, at 6382.9920 Ang: ERR= 0.00359376 ERR_RMS= 0.00305194 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 13, at 6402.2460 Ang: ERR= 0.00232649 ERR_RMS= 0.0157657 pix, 2 masked. FITARCIMAGE_GLOBAL: r2: Line 14, at 6506.5280 Ang: ERR= 0.00309593 ERR_RMS= 0.0151044 pix, 4 masked. FITARCIMAGE_GLOBAL: r2: Line 15, at 6532.8820 Ang: ERR= 0.00601156 ERR_RMS= 0.000287447 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 16, at 6598.9530 Ang: ERR= 0.00481096 ERR_RMS= 0.0192837 pix, 2 masked. FITARCIMAGE_GLOBAL: r2: Line 17, at 6717.0430 Ang: ERR= 0.00441773 ERR_RMS= 0.000194527 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 18, at 6929.4670 Ang: ERR= 0.00376860 ERR_RMS= 0.000161214 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 19, at 7173.9380 Ang: ERR= 0.00826329 ERR_RMS= 0.000415691 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 20, at 7245.1670 Ang: ERR= 0.00403863 ERR_RMS= 0.000166947 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 21, at 7438.9000 Ang: ERR= 0.00792719 ERR_RMS= 0.000364278 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 22, at 7488.8710 Ang: ERR= 0.0146642 ERR_RMS= 0.000827169 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 23, at 7535.7740 Ang: ERR= 0.0171903 ERR_RMS= 0.000990537 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 24, at 7635.1060 Ang: ERR= 0.0312179 ERR_RMS= 0.00215358 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 25, at 8014.7860 Ang: ERR= 0.0796492 ERR_RMS= 0.00974573 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 26, at 8103.6930 Ang: ERR= 0.0586214 ERR_RMS= 0.0137274 pix, 5 masked. FITARCIMAGE_GLOBAL: r2: Line 27, at 8300.3260 Ang: ERR= 0.0246222 ERR_RMS= 0.00172974 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 28, at 8377.6065 Ang: ERR= 0.00958246 ERR_RMS= 0.0152385 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 29, at 8495.3598 Ang: ERR= 0.0136261 ERR_RMS= 0.000878729 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 30, at 8591.2583 Ang: ERR= 0.0258864 ERR_RMS= 0.00202294 pix, 8 masked. FITARCIMAGE_GLOBAL: r2: Line 31, at 8634.6470 Ang: ERR= 0.0280629 ERR_RMS= 0.00235237 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 32, at 8654.3831 Ang: ERR= 0.0177721 ERR_RMS= 0.00125129 pix, 7 masked. FITARCIMAGE_GLOBAL: r2: Line 33, at 8853.8670 Ang: ERR= 0.0404923 ERR_RMS= 0.00404470 pix, 6 masked. FITARCIMAGE_GLOBAL: r2: Line 34, at 9122.9674 Ang: ERR= 0.0935376 ERR_RMS= 0.0159174 pix, 9 masked. FITARCIMAGE_GLOBAL: r2: Number of good arc lines: 34 FITARCIMAGE_GLOBAL: r2: Number of arclines = 34 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 1 5 34 0 6 34 0 7 34 1 8 34 0 9 34 1 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 1 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 1 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 1 43 34 0 44 34 0 45 34 0 46 34 0 47 34 1 48 34 0 49 34 0 50 34 0 51 34 1 52 34 0 53 34 0 54 34 8 55 34 3 56 34 1 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 1 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 1 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 1 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 1 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 1 164 34 0 165 34 0 166 34 1 167 34 0 168 34 0 169 34 2 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 5 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 1 221 34 1 222 34 1 223 34 1 224 34 8 225 34 0 226 34 0 227 34 1 228 34 4 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 32 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 1 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 1 257 34 0 258 34 0 259 34 0 260 34 1 261 34 0 262 34 0 263 34 29 264 34 0 265 34 0 266 34 0 267 34 1 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 8 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 29 293 34 0 294 34 1 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 34 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 4 319 34 16 XY2TRACESET: r2: Total rejected = 207 Pass 1 complete FITARCIMAGE_GLOBAL: r2: Number of arclines after bundle test = 34 FITARCLINES: r2: ncoeffs (x,y): 4 5 FITARCLINES: r2: errored out 2 fibers: 241 311 FITARCLINES: r2: fit rchi2: 0.063009347 FITARCLINES: r2: offset stddev: 320 2.8603182e-13 FITARCLINES: r2: scale stddev: 320 7.1662036e-13 FITARCLINES: r2: poly x,y,stddev: 0 0 5.8890445e-07 FITARCLINES: r2: poly x,y,stddev: 1 0 1.7698471e-06 FITARCLINES: r2: poly x,y,stddev: 2 0 1.4153217e-06 FITARCLINES: r2: poly x,y,stddev: 3 0 2.8404166e-06 FITARCLINES: r2: poly x,y,stddev: 0 1 4.1553530e-07 FITARCLINES: r2: poly x,y,stddev: 1 1 1.2531792e-06 FITARCLINES: r2: poly x,y,stddev: 2 1 1.0045455e-06 FITARCLINES: r2: poly x,y,stddev: 3 1 2.0143474e-06 FITARCLINES: r2: poly x,y,stddev: 0 2 2.7338762e-07 FITARCLINES: r2: poly x,y,stddev: 1 2 8.1243030e-07 FITARCLINES: r2: poly x,y,stddev: 2 2 6.4013512e-07 FITARCLINES: r2: poly x,y,stddev: 3 2 1.2879324e-06 FITARCLINES: r2: correcting per-fiber coefficients for fibers: 241 263 292 311 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: r2: Total rejected = 0 FITARCIMAGE_GLOBAL: r2: BADARC lines masked: 241 263 292 311 FITARCIMAGE_GLOBAL: r2: IVAR=0 centroids masked: 187 Final arcfit complete FITARCIMAGE_GLOBAL: r2: Time 63. seconds elapsed ROW NITER SIG(med) CHI^2 .0000 2 1.00 8.69 .0001 2 1.00 8.11 .0002 3 1.00 8.59 .0003 2 1.00 9.33 .0004 2 1.00 8.42 .0005 3 1.00 9.75 .0006 2 1.00 8.73 .0007 4 1.00 7.65 .0008 4 1.00 8.25 .0009 2 1.00 9.69 .0010 2 1.00 8.00 .0011 2 1.00 8.34 .0012 1 1.00 9.82 .0013 3 1.00 7.18 .0014 2 1.00 8.23 .0015 1 1.00 9.53 .0016 2 1.00 7.96 .0017 2 1.00 9.79 .0018 4 1.00 7.81 .0019 2 1.00 6.56 .0020 3 1.00 7.70 .0021 2 1.00 8.36 .0022 2 1.00 8.79 .0023 3 1.00 7.85 .0024 3 1.00 7.43 .0025 3 1.00 8.71 .0026 2 1.00 8.64 .0027 2 1.00 8.60 .0028 2 1.00 8.74 .0029 3 1.00 8.46 .0030 3 1.00 7.46 .0031 3 1.00 7.96 .0032 2 1.00 8.65 .0033 2 1.00 8.06 .0034 2 1.00 8.15 .0035 2 1.00 9.62 .0036 3 1.00 7.99 .0037 3 1.00 7.88 .0038 2 1.00 8.72 .0039 2 1.00 9.08 .0040 2 1.00 10.72 .0041 1 1.00 12.04 .0042 2 1.00 7.78 .0043 2 1.00 8.38 .0044 2 1.00 8.50 .0045 2 1.00 9.72 .0046 2 1.00 7.92 .0047 3 1.00 8.30 .0048 3 1.00 7.33 .0049 2 1.00 11.91 .0050 2 1.00 10.58 .0051 2 1.00 9.57 .0052 2 1.00 10.76 .0053 3 1.00 7.93 .0054 3 1.00 5.73 .0055 2 1.00 8.75 .0056 3 1.00 10.32 .0057 2 1.00 8.56 .0058 2 1.00 8.36 .0059 4 1.00 7.74 .0060 1 1.00 9.46 .0061 3 1.00 7.26 .0062 3 1.00 7.40 .0063 3 1.00 7.62 .0064 2 1.00 9.01 .0065 2 1.00 8.09 .0066 3 1.00 9.38 .0067 3 1.00 7.50 .0068 3 1.00 6.16 .0069 3 1.00 6.96 .0070 2 1.00 8.04 .0071 3 1.00 8.58 .0072 2 1.00 9.37 .0073 3 1.00 8.46 .0074 3 1.00 8.65 .0075 3 1.00 8.22 .0076 2 1.00 10.38 .0077 2 1.00 9.03 .0078 2 1.00 9.19 .0079 2 1.00 8.82 .0080 4 1.00 7.51 .0081 4 1.00 8.18 .0082 3 1.00 7.11 .0083 2 1.00 9.05 .0084 4 1.00 6.08 .0085 2 1.00 9.29 .0086 2 1.00 7.14 .0087 2 1.00 9.12 .0088 4 1.00 7.12 .0089 3 1.00 7.04 .0090 2 1.00 8.64 .0091 3 1.00 6.30 .0092 2 1.00 8.03 .0093 2 1.00 8.00 .0094 2 1.00 8.02 .0095 3 1.00 7.48 .0096 3 1.00 7.18 .0097 3 1.00 8.09 .0098 3 1.00 7.23 .0099 2 1.00 8.32 .0100 2 1.00 7.53 .0101 2 1.00 8.58 .0102 2 1.00 8.81 .0103 3 1.00 7.34 .0104 3 1.00 6.82 .0105 3 1.00 7.17 .0106 4 1.00 7.29 .0107 3 1.00 6.71 .0108 3 1.00 7.26 .0109 2 1.00 8.40 .0110 2 1.00 7.29 .0111 2 1.00 7.84 .0112 4 1.00 6.77 .0113 3 1.00 6.12 .0114 3 1.00 7.25 .0115 3 1.00 7.73 .0116 3 1.00 7.70 .0117 2 1.00 8.33 .0118 3 1.00 6.26 .0119 3 1.00 7.29 .0120 2 1.00 7.30 .0121 2 1.00 6.45 .0122 2 1.00 7.71 .0123 3 1.00 7.11 .0124 3 1.00 7.30 .0125 3 1.00 7.37 .0126 3 1.00 5.66 .0127 3 1.00 6.73 .0128 3 1.00 6.74 .0129 3 1.00 6.15 .0130 3 1.00 6.58 .0131 2 1.00 7.39 .0132 2 1.00 8.77 .0133 2 1.00 8.47 .0134 2 1.00 8.31 .0135 3 1.00 8.66 .0136 3 1.00 5.97 .0137 3 1.00 6.36 .0138 3 1.00 7.49 .0139 3 1.00 7.08 .0140 3 1.00 6.72 .0141 2 1.00 9.11 .0142 2 1.00 9.48 .0143 2 1.00 10.01 .0144 2 1.00 9.60 .0145 3 1.00 8.17 .0146 3 1.00 7.06 .0147 3 1.00 7.30 .0148 3 1.00 7.77 .0149 3 1.00 7.87 .0150 3 1.00 8.08 .0151 3 1.00 9.43 .0152 2 1.00 9.76 .0153 2 1.00 10.50 .0154 2 1.00 10.09 .0155 2 1.00 9.96 .0156 2 1.00 11.55 .0157 2 1.00 11.82 .0158 2 1.00 10.29 .0159 2 1.00 10.31 .0160 3 1.00 7.54 .0161 4 1.00 7.91 .0162 3 1.00 7.50 .0163 4 1.00 7.91 .0164 3 1.00 7.54 .0165 3 1.00 7.86 .0166 2 1.00 9.56 .0167 2 1.00 10.34 .0168 2 1.00 7.93 .0169 1 1.00 9.59 .0170 2 1.00 9.21 .0171 2 1.00 9.18 .0172 2 1.00 9.74 .0173 1 1.00 12.07 .0174 4 1.00 8.62 .0175 1 1.00 11.75 .0176 4 1.00 8.78 .0177 4 1.00 8.45 .0178 3 1.00 7.24 .0179 3 1.00 7.81 .0180 3 1.00 8.23 .0181 3 1.00 9.55 .0182 3 1.00 7.90 .0183 3 1.00 7.66 .0184 3 1.00 8.16 .0185 4 1.00 8.28 .0186 3 1.00 7.41 .0187 4 1.00 6.03 .0188 3 1.00 7.20 .0189 4 1.00 8.54 .0190 3 1.00 7.35 .0191 3 1.00 8.14 .0192 2 1.00 8.86 .0193 3 1.00 7.96 .0194 2 1.00 8.01 .0195 2 1.00 9.61 .0196 2 1.00 8.09 .0197 2 1.00 9.06 .0198 2 1.00 10.27 .0199 2 1.00 9.17 .0200 4 1.00 7.11 .0201 2 1.00 7.18 .0202 2 1.00 8.19 .0203 2 1.00 6.74 .0204 3 1.00 6.61 .0205 3 1.00 6.51 .0206 3 1.00 6.61 .0207 4 1.00 6.72 .0208 4 1.00 6.81 .0209 3 1.00 8.05 .0210 2 1.00 9.25 .0211 4 1.00 8.29 .0212 3 1.00 7.50 .0213 3 1.00 8.32 .0214 3 1.00 8.98 .0215 4 1.00 8.21 .0216 3 1.00 9.21 .0217 3 1.00 8.78 .0218 2 1.00 9.10 .0219 3 1.00 8.79 .0220 3 1.00 7.51 .0221 3 1.00 7.52 .0222 3 1.00 7.94 .0223 3 1.00 7.27 .0224 1 1.00 8.58 .0225 3 1.00 6.90 .0226 3 1.00 6.95 .0227 4 1.00 7.73 .0228 3 1.00 6.56 .0229 3 1.00 7.52 .0230 2 1.00 9.55 .0231 2 1.00 9.78 .0232 1 1.00 10.35 .0233 3 1.00 8.13 .0234 1 1.00 11.02 .0235 1 1.00 13.26 .0236 1 1.00 11.49 .0237 1 1.00 10.19 .0238 3 1.00 8.21 .0239 1 1.00 11.79 .0240 3 1.00 7.45 .0241 2 1.00 0.99 .0242 3 1.00 7.43 .0243 4 1.00 8.09 .0244 3 1.00 7.97 .0245 3 1.00 8.70 .0246 3 1.00 7.66 .0247 3 1.00 7.40 .0248 2 1.00 8.76 .0249 3 1.00 7.24 .0250 3 1.00 8.12 .0251 4 1.00 6.74 .0252 3 1.00 6.69 .0253 3 1.00 7.96 .0254 2 1.00 8.84 .0255 2 1.00 9.66 .0256 2 1.00 9.32 .0257 2 1.00 9.24 .0258 2 1.00 9.51 .0259 2 1.00 8.73 .0260 3 1.00 6.59 .0261 2 1.00 7.89 .0262 2 1.00 7.97 .0263 1 1.00 0.79 .0264 2 1.00 8.36 .0265 2 1.00 8.98 .0266 2 1.00 9.00 .0267 3 1.00 6.89 .0268 2 1.00 7.93 .0269 3 1.00 7.87 .0270 3 1.00 7.34 .0271 3 1.00 8.00 .0272 3 1.00 8.33 .0273 3 1.00 8.08 .0274 3 1.00 7.17 .0275 3 1.00 7.45 .0276 2 1.00 6.58 .0277 3 1.00 8.10 .0278 3 1.00 7.70 .0279 3 1.00 7.98 .0280 3 1.00 7.33 .0281 2 1.00 7.33 .0282 2 1.00 9.48 .0283 2 1.00 9.22 .0284 2 1.00 9.10 .0285 1 1.00 9.90 .0286 2 1.00 8.78 .0287 4 1.00 7.31 .0288 3 1.00 6.16 .0289 3 1.00 7.05 .0290 3 1.00 8.30 .0291 3 1.00 7.42 .0292 1 1.00 0.97 .0293 4 1.00 7.24 .0294 3 1.00 6.92 .0295 2 1.00 8.69 .0296 2 1.00 7.43 .0297 3 1.00 8.34 .0298 2 1.00 7.70 .0299 2 1.00 7.62 .0300 2 1.00 7.45 .0301 3 1.00 8.20 .0302 1 1.00 8.31 .0303 2 1.00 7.59 .0304 2 1.00 7.28 .0305 2 1.00 7.72 .0306 2 1.00 7.30 .0307 2 1.00 7.83 .0308 4 1.00 6.24 .0309 3 1.00 6.94 .0310 3 1.00 7.23 .0311 1 1.00 1.39 .0312 2 1.00 7.64 .0313 2 1.00 8.01 .0314 2 1.00 8.70 .0315 2 1.00 7.57 .0316 1 1.00 8.59 .0317 2 1.00 9.79 .0318 2 1.00 7.47 .0319 6 1.00 1.99 EXTRACT_IMAGE: r2: masked 618 pixels TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: r2: Total rejected = 0 FITDISPERSION: r2: Median wavelength widths = 0.87 0.86 0.84 0.78 pix (LL LR UL UR) SPCALIB: r2: Create fiberflats for flat # 1 of 2 SPCALIB: r2: Flat sdR-r2-00034750.fit paired with arc sdR-r2-00034751.fit SPCALIB: r2: Reading flat sdR-r2-00034750.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.63910 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 469.551 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.75800 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1320.80 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1300. DN is 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.90 0.00 .0001 0 0.90 0.00 .0002 0 0.90 0.00 .0003 1 0.90 3.01 .0004 2 0.90 2.91 .0005 1 0.90 2.86 .0006 1 0.90 2.86 .0007 1 0.90 2.89 .0008 1 0.90 3.12 .0009 1 0.90 2.78 .0010 1 0.90 2.83 .0011 2 0.90 3.08 .0012 1 0.90 2.92 .0013 1 0.90 2.94 .0014 1 0.90 3.07 .0015 1 0.90 2.99 .0016 1 0.90 2.97 .0017 1 0.90 3.04 .0018 1 0.90 3.06 .0019 1 0.90 3.13 .0020 1 0.90 3.00 .0021 1 0.90 3.11 .0022 1 0.90 3.06 .0023 1 0.90 3.00 .0024 1 0.90 3.28 .0025 1 0.90 3.29 .0026 1 0.91 3.08 .0027 1 0.91 3.06 .0028 1 0.91 3.28 .0029 1 0.91 3.28 .0030 1 0.91 3.34 .0031 2 0.91 2.99 .0032 2 0.91 2.96 .0033 2 0.91 3.00 .0034 2 0.91 2.92 .0035 2 0.91 2.94 .0036 2 0.91 2.89 .0037 2 0.91 3.05 .0038 2 0.91 2.83 .0039 2 0.91 3.15 .0040 2 0.91 2.92 .0041 2 0.91 3.14 .0042 2 0.91 3.18 .0043 2 0.91 2.96 .0044 2 0.91 3.15 .0045 2 0.91 3.08 .0046 2 0.91 3.27 .0047 2 0.91 3.02 .0048 2 0.91 2.90 .0049 2 0.91 3.05 .0050 2 0.91 3.04 .0051 2 0.91 3.09 .0052 2 0.91 3.03 .0053 2 0.91 3.03 .0054 2 0.91 3.22 .0055 2 0.91 3.09 .0056 2 0.91 3.21 .0057 2 0.91 3.19 .0058 2 0.91 3.52 .0059 2 0.91 3.19 .0060 2 0.91 3.04 .0061 2 0.91 3.08 .0062 2 0.91 3.17 .0063 2 0.91 3.16 .0064 2 0.91 3.04 .0065 2 0.91 3.30 .0066 2 0.91 3.18 .0067 2 0.91 3.10 .0068 2 0.91 3.11 .0069 2 0.91 3.11 .0070 2 0.91 2.96 .0071 2 0.91 3.06 .0072 2 0.91 3.11 .0073 2 0.91 3.15 .0074 2 0.91 3.12 .0075 2 0.91 3.08 .0076 2 0.91 3.29 .0077 2 0.91 3.12 .0078 2 0.91 3.14 .0079 2 0.91 3.16 .0080 2 0.91 3.15 .0081 2 0.91 3.24 .0082 2 0.91 3.14 .0083 2 0.91 3.26 .0084 2 0.91 3.13 .0085 2 0.91 3.36 .0086 2 0.91 3.40 .0087 2 0.91 3.13 .0088 2 0.91 3.26 .0089 2 0.91 3.26 .0090 2 0.91 3.25 .0091 2 0.91 3.27 .0092 2 0.91 3.28 .0093 2 0.91 3.39 .0094 2 0.91 3.35 .0095 2 0.91 3.57 .0096 2 0.91 3.38 .0097 2 0.91 3.46 .0098 2 0.91 3.44 .0099 2 0.91 3.38 .0100 2 0.91 3.45 .0101 3 0.91 3.37 .0102 2 0.91 3.60 .0103 3 0.91 4.45 .0104 2 0.91 3.73 .0105 2 0.91 3.59 .0106 2 0.91 3.20 .0107 2 0.91 3.19 .0108 2 0.91 3.21 .0109 2 0.91 3.16 .0110 2 0.91 3.14 .0111 2 0.91 3.04 .0112 2 0.91 3.32 .0113 2 0.91 3.20 .0114 2 0.91 3.21 .0115 2 0.91 3.16 .0116 3 0.91 3.27 .0117 2 0.91 3.20 .0118 2 0.91 3.21 .0119 2 0.91 3.33 .0120 2 0.91 3.30 .0121 2 0.91 3.29 .0122 2 0.91 3.25 .0123 2 0.91 3.28 .0124 2 0.91 3.35 .0125 2 0.91 3.32 .0126 2 0.91 3.24 .0127 2 0.91 3.34 .0128 2 0.91 3.49 .0129 2 0.91 3.34 .0130 2 0.91 3.31 .0131 2 0.91 3.48 .0132 2 0.91 3.46 .0133 2 0.91 3.53 .0134 2 0.91 3.40 .0135 2 0.91 3.39 .0136 2 0.91 3.57 .0137 2 0.91 3.66 .0138 2 0.91 3.48 .0139 2 0.91 3.54 .0140 2 0.91 3.86 .0141 2 0.91 3.75 .0142 2 0.91 3.74 .0143 2 0.91 3.65 .0144 2 0.91 3.61 .0145 2 0.91 3.85 .0146 2 0.91 3.89 .0147 2 0.91 3.78 .0148 2 0.91 3.86 .0149 2 0.91 3.79 .0150 2 0.91 4.00 .0151 2 0.91 3.90 .0152 2 0.91 3.90 .0153 2 0.91 3.99 .0154 2 0.91 3.87 .0155 2 0.91 4.06 .0156 2 0.91 4.10 .0157 2 0.91 4.05 .0158 2 0.91 4.27 .0159 2 0.91 4.17 .0160 2 0.91 4.70 .0161 2 0.91 4.21 .0162 2 0.91 4.33 .0163 2 0.91 4.04 .0164 2 0.91 4.10 .0165 2 0.91 4.41 .0166 2 0.91 4.06 .0167 2 0.91 4.28 .0168 2 0.91 4.58 .0169 2 0.91 4.26 .0170 2 0.91 4.49 .0171 2 0.91 4.39 .0172 2 0.91 4.63 .0173 2 0.91 4.82 .0174 2 0.91 4.41 .0175 2 0.91 4.62 .0176 2 0.91 4.58 .0177 2 0.91 4.46 .0178 2 0.91 4.57 .0179 2 0.91 4.51 .0180 2 0.91 4.66 .0181 2 0.91 4.80 .0182 2 0.91 4.59 .0183 2 0.91 4.72 .0184 2 0.91 4.76 .0185 2 0.91 4.75 .0186 2 0.91 4.61 .0187 2 0.91 4.69 .0188 2 0.91 4.77 .0189 2 0.91 4.62 .0190 2 0.91 4.74 .0191 2 0.91 4.73 .0192 2 0.91 4.84 .0193 2 0.91 4.65 .0194 2 0.91 4.78 .0195 2 0.91 4.52 .0196 2 0.91 4.82 .0197 2 0.91 4.82 .0198 2 0.91 4.55 .0199 2 0.91 4.65 .0200 3 0.91 4.96 .0201 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.1977 1 0.96 5.66 .1978 1 0.96 6.08 .1979 1 0.96 6.18 .1980 1 0.96 5.74 .1981 1 0.96 5.90 .1982 1 0.96 6.08 .1983 1 0.95 6.02 .1984 1 0.95 5.89 .1985 1 0.95 5.99 .1986 1 0.95 5.79 .1987 1 0.95 5.94 .1988 1 0.95 5.73 .1989 1 0.95 5.81 .1990 1 0.95 5.83 .1991 1 0.95 5.83 .1992 1 0.95 5.65 .1993 1 0.95 5.86 .1994 1 0.95 5.46 .1995 1 0.95 5.58 .1996 1 0.95 5.48 .1997 1 0.95 5.45 .1998 1 0.95 5.45 .1999 1 0.95 5.50 .2000 1 0.95 5.62 .2001 1 0.95 5.49 .2002 1 0.95 5.41 .2003 1 0.95 5.56 .2004 1 0.95 5.42 .2005 1 0.95 5.80 .2006 1 0.95 5.77 .2007 1 0.95 5.75 .2008 1 0.95 5.80 .2009 1 0.95 5.75 .2010 1 0.95 5.94 .2011 1 0.95 6.64 .2012 1 0.95 5.63 .2013 1 0.95 5.96 .2014 1 0.95 5.75 .2015 1 0.95 5.54 .2016 1 0.95 5.70 .2017 1 0.95 5.71 .2018 1 0.95 5.60 .2019 1 0.95 5.86 .2020 1 0.95 5.60 .2021 1 0.95 5.34 .2022 1 0.95 5.58 .2023 1 0.95 5.23 .2024 1 0.95 5.32 .2025 1 0.95 5.25 .2026 1 0.95 5.27 .2027 1 0.95 6.02 .2028 1 0.95 5.42 .2029 1 0.95 5.23 .2030 1 0.95 5.15 .2031 1 0.95 5.19 .2032 1 0.95 5.16 .2033 1 0.95 4.81 .2034 1 0.95 5.06 .2035 1 0.95 4.91 .2036 1 0.95 4.92 .2037 1 0.95 5.14 .2038 1 0.95 4.95 .2039 1 0.95 4.76 .2040 1 0.95 4.94 .2041 1 0.95 4.88 .2042 1 0.95 5.04 .2043 1 0.95 4.88 .2044 1 0.95 4.87 .2045 1 0.95 5.18 .2046 1 0.95 5.10 .2047 1 0.95 5.17 EXTRACT_IMAGE: r2: masked 476 pixels DOSCATTER: r2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r2: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r2: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.16 Step 28 of 2112 0.59 96 0.02 0.16 Step 36 of 2112 0.59 96 0.02 0.16 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.16 Step 60 of 2112 0.59 96 0.02 0.16 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.16 Step 84 of 2112 0.59 96 0.02 0.16 Step 92 of 2112 0.60 96 0.02 0.16 Step 100 of 2112 0.60 96 0.02 0.14 Step 108 of 2112 0.60 96 0.02 0.14 Step 116 of 2112 0.60 96 0.02 0.17 Step 124 of 2112 0.60 96 0.02 0.16 Step 132 of 2112 0.60 96 0.02 0.14 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.17 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.61 96 0.02 0.16 Step 172 of 2112 0.61 96 0.02 0.16 Step 180 of 2112 0.61 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.16 Step 196 of 2112 0.61 96 0.02 0.17 Step 204 of 2112 0.61 96 0.02 0.15 Step 212 of 2112 0.61 96 0.02 0.16 Step 220 of 2112 0.61 96 0.02 0.16 Step 228 of 2112 0.62 96 0.02 0.17 Step 236 of 2112 0.62 96 0.02 0.16 Step 244 of 2112 0.62 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.16 Step 276 of 2112 0.62 96 0.02 0.16 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.63 96 0.02 0.15 Step 300 of 2112 0.63 96 0.02 0.16 Step 308 of 2112 0.63 96 0.02 0.16 Step 316 of 2112 0.63 96 0.02 0.16 Step 324 of 2112 0.63 96 0.02 0.16 Step 332 of 2112 0.63 96 0.02 0.17 Step 340 of 2112 0.63 96 0.01 0.14 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.64 96 0.02 0.16 Step 364 of 2112 0.64 96 0.02 0.16 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.16 Step 388 of 2112 0.64 96 0.02 0.15 Step 396 of 2112 0.64 96 0.02 0.14 Step 404 of 2112 0.64 96 0.02 0.16 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.02 0.14 Step 428 of 2112 0.65 96 0.02 0.15 Step 436 of 2112 0.65 96 0.02 0.14 Step 444 of 2112 0.65 96 0.02 0.18 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.16 Step 476 of 2112 0.65 96 0.02 0.15 Step 484 of 2112 0.66 96 0.02 0.15 Step 492 of 2112 0.66 96 0.02 0.16 Step 500 of 2112 0.66 96 0.02 0.16 Step 508 of 2112 0.66 96 0.02 0.15 Step 516 of 2112 0.66 96 0.02 0.16 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.03 0.16 Step 540 of 2112 0.66 96 0.02 0.15 Step 548 of 2112 0.67 96 0.02 0.15 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.15 Step 572 of 2112 0.67 96 0.02 0.15 Step 580 of 2112 0.67 96 0.02 0.16 Step 588 of 2112 0.67 96 0.02 0.16 Step 596 of 2112 0.67 96 0.01 0.18 Step 604 of 2112 0.67 96 0.01 0.15 Step 612 of 2112 0.68 96 0.01 0.17 Step 620 of 2112 0.68 96 0.01 0.17 Step 628 of 2112 0.68 96 0.01 0.16 Step 636 of 2112 0.68 96 0.01 0.17 Step 644 of 2112 0.68 128 0.03 0.23 Step 652 of 2112 0.68 128 0.02 0.20 Step 660 of 2112 0.68 128 0.02 0.20 Step 668 of 2112 0.68 128 0.02 0.21 Step 676 of 2112 0.69 128 0.02 0.24 Step 684 of 2112 0.69 128 0.02 0.22 Step 692 of 2112 0.69 128 0.02 0.22 Step 700 of 2112 0.69 128 0.02 0.21 Step 708 of 2112 0.69 128 0.02 0.21 Step 716 of 2112 0.69 128 0.02 0.22 Step 724 of 2112 0.69 128 0.01 0.22 Step 732 of 2112 0.69 128 0.01 0.21 Step 740 of 2112 0.70 128 0.01 0.20 Step 748 of 2112 0.70 128 0.01 0.21 Step 756 of 2112 0.70 128 0.01 0.20 Step 764 of 2112 0.70 128 0.02 0.23 Step 772 of 2112 0.70 128 0.02 0.20 Step 780 of 2112 0.70 128 0.03 0.22 Step 788 of 2112 0.70 128 0.02 0.23 Step 796 of 2112 0.71 128 0.03 0.23 Step 804 of 2112 0.71 128 0.04 0.25 Step 812 of 2112 0.71 128 0.02 0.22 Step 820 of 2112 0.71 128 0.02 0.23 Step 828 of 2112 0.71 128 0.03 0.21 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.02 0.23 Step 852 of 2112 0.71 128 0.02 0.22 Step 860 of 2112 0.72 128 0.01 0.21 Step 868 of 2112 0.72 128 0.01 0.22 Step 876 of 2112 0.72 128 0.01 0.22 Step 884 of 2112 0.72 128 0.02 0.22 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.02 0.24 Step 908 of 2112 0.72 128 0.02 0.21 Step 916 of 2112 0.73 128 0.02 0.20 Step 924 of 2112 0.73 128 0.02 0.19 Step 932 of 2112 0.73 128 0.03 0.20 Step 940 of 2112 0.73 128 0.02 0.21 Step 948 of 2112 0.73 128 0.02 0.20 Step 956 of 2112 0.73 128 0.03 0.23 Step 964 of 2112 0.73 128 0.02 0.21 Step 972 of 2112 0.73 128 0.02 0.23 Step 980 of 2112 0.74 128 0.02 0.22 Step 988 of 2112 0.74 128 0.02 0.22 Step 996 of 2112 0.74 128 0.01 0.21 Step 1004 of 2112 0.74 128 0.02 0.20 Step 1012 of 2112 0.74 128 0.03 0.24 Step 1020 of 2112 0.74 128 0.02 0.21 Step 1028 of 2112 0.74 128 0.02 0.21 Step 1036 of 2112 0.75 128 0.03 0.23 Step 1044 of 2112 0.75 128 0.02 0.21 Step 1052 of 2112 0.75 128 0.02 0.21 Step 1060 of 2112 0.75 128 0.01 0.20 Step 1068 of 2112 0.75 128 0.01 0.21 Step 1076 of 2112 0.75 128 0.01 0.22 Step 1084 of 2112 0.75 128 0.02 0.22 Step 1092 of 2112 0.75 160 0.03 0.35 Step 1100 of 2112 0.76 160 0.03 0.34 Step 1108 of 2112 0.76 160 0.03 0.34 Step 1116 of 2112 0.76 160 0.03 0.36 Step 1124 of 2112 0.76 160 0.03 0.31 Step 1132 of 2112 0.76 160 0.04 0.33 Step 1140 of 2112 0.76 160 0.05 0.38 Step 1148 of 2112 0.76 160 0.04 0.34 Step 1156 of 2112 0.77 160 0.04 0.36 Step 1164 of 2112 0.77 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.34 Step 1180 of 2112 0.77 160 0.03 0.34 Step 1188 of 2112 0.77 160 0.03 0.36 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.03 0.33 Step 1212 of 2112 0.78 160 0.03 0.34 Step 1220 of 2112 0.78 160 0.03 0.34 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.04 0.32 Step 1252 of 2112 0.78 160 0.04 0.36 Step 1260 of 2112 0.78 160 0.04 0.34 Step 1268 of 2112 0.78 160 0.03 0.33 Step 1276 of 2112 0.79 160 0.03 0.35 Step 1284 of 2112 0.79 160 0.03 0.33 Step 1292 of 2112 0.79 160 0.03 0.32 Step 1300 of 2112 0.79 160 0.03 0.35 Step 1308 of 2112 0.79 160 0.03 0.33 Step 1316 of 2112 0.79 160 0.03 0.32 Step 1324 of 2112 0.79 160 0.03 0.34 Step 1332 of 2112 0.80 160 0.03 0.33 Step 1340 of 2112 0.80 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.32 Step 1356 of 2112 0.80 160 0.03 0.34 Step 1364 of 2112 0.80 160 0.03 0.34 Step 1372 of 2112 0.80 160 0.03 0.35 Step 1380 of 2112 0.80 160 0.03 0.35 Step 1388 of 2112 0.81 160 0.03 0.34 Step 1396 of 2112 0.81 160 0.03 0.34 Step 1404 of 2112 0.81 160 0.03 0.35 Step 1412 of 2112 0.81 160 0.03 0.35 Step 1420 of 2112 0.81 160 0.03 0.34 Step 1428 of 2112 0.81 160 0.03 0.33 Step 1436 of 2112 0.81 160 0.03 0.36 Step 1444 of 2112 0.82 160 0.03 0.34 Step 1452 of 2112 0.82 192 0.04 0.38 Step 1460 of 2112 0.82 192 0.04 0.38 Step 1468 of 2112 0.82 192 0.03 0.38 Step 1476 of 2112 0.82 192 0.04 0.37 Step 1484 of 2112 0.82 192 0.03 0.39 Step 1492 of 2112 0.82 192 0.04 0.40 Step 1500 of 2112 0.83 192 0.04 0.44 Step 1508 of 2112 0.83 192 0.04 0.39 Step 1516 of 2112 0.83 192 0.04 0.38 Step 1524 of 2112 0.83 192 0.03 0.39 Step 1532 of 2112 0.83 192 0.04 0.40 Step 1540 of 2112 0.83 192 0.04 0.39 Step 1548 of 2112 0.83 192 0.04 0.37 Step 1556 of 2112 0.83 192 0.04 0.39 Step 1564 of 2112 0.84 192 0.04 0.39 Step 1572 of 2112 0.84 192 0.04 0.40 Step 1580 of 2112 0.84 192 0.04 0.41 Step 1588 of 2112 0.84 192 0.04 0.42 Step 1596 of 2112 0.84 192 0.05 0.42 Step 1604 of 2112 0.84 192 0.04 0.43 Step 1612 of 2112 0.84 192 0.04 0.53 Step 1620 of 2112 0.85 192 0.04 0.52 Step 1628 of 2112 0.85 192 0.03 0.39 Step 1636 of 2112 0.85 192 0.02 0.39 Step 1644 of 2112 0.85 192 0.02 0.40 Step 1652 of 2112 0.85 192 0.02 0.36 Step 1660 of 2112 0.85 192 0.03 0.38 Step 1668 of 2112 0.85 192 0.02 0.40 Step 1676 of 2112 0.86 192 0.04 0.40 Step 1684 of 2112 0.86 192 0.04 0.40 Step 1692 of 2112 0.86 192 0.03 0.38 Step 1700 of 2112 0.86 192 0.03 0.38 Step 1708 of 2112 0.86 192 0.04 0.39 Step 1716 of 2112 0.86 192 0.04 0.40 Step 1724 of 2112 0.86 192 0.04 0.38 Step 1732 of 2112 0.87 192 0.03 0.39 Step 1740 of 2112 0.87 224 0.04 0.48 Step 1748 of 2112 0.87 224 0.04 0.49 Step 1756 of 2112 0.87 224 0.05 0.50 Step 1764 of 2112 0.87 224 0.04 0.48 Step 1772 of 2112 0.87 224 0.05 0.51 Step 1780 of 2112 0.87 224 0.04 0.53 Step 1788 of 2112 0.88 224 0.04 0.51 Step 1796 of 2112 0.88 224 0.04 0.47 Step 1804 of 2112 0.88 224 0.04 0.61 Step 1812 of 2112 0.88 224 0.03 0.51 Step 1820 of 2112 0.88 224 0.05 0.54 Step 1828 of 2112 0.88 224 0.04 0.55 Step 1836 of 2112 0.88 224 0.03 0.52 Step 1844 of 2112 0.89 224 0.03 0.54 Step 1852 of 2112 0.89 224 0.03 0.49 Step 1860 of 2112 0.89 224 0.05 0.51 Step 1868 of 2112 0.89 224 0.05 0.53 Step 1876 of 2112 0.89 224 0.05 0.52 Step 1884 of 2112 0.89 224 0.04 0.48 Step 1892 of 2112 0.89 224 0.04 0.54 Step 1900 of 2112 0.90 224 0.04 0.55 Step 1908 of 2112 0.90 224 0.04 0.54 Step 1916 of 2112 0.90 224 0.04 0.55 Step 1924 of 2112 0.90 224 0.04 0.50 Step 1932 of 2112 0.90 224 0.04 0.47 Step 1940 of 2112 0.90 224 0.05 0.48 Step 1948 of 2112 0.90 224 0.04 0.50 Step 1956 of 2112 0.91 224 0.05 0.53 Step 1964 of 2112 0.91 224 0.05 0.56 Step 1972 of 2112 0.91 224 0.04 0.49 Step 1980 of 2112 0.91 224 0.05 0.51 Step 1988 of 2112 0.91 224 0.05 0.49 Step 1996 of 2112 0.91 256 0.05 0.54 Step 2004 of 2112 0.91 256 0.05 0.53 Step 2012 of 2112 0.92 256 0.04 0.61 Step 2020 of 2112 0.92 256 0.06 0.55 Step 2028 of 2112 0.92 256 0.05 0.54 Step 2036 of 2112 0.92 256 0.06 0.55 Step 2044 of 2112 0.92 256 0.05 0.58 Step 2052 of 2112 0.92 256 0.05 0.57 Step 2060 of 2112 0.92 256 0.05 0.53 Step 2068 of 2112 0.93 256 0.05 0.51 Step 2076 of 2112 0.93 256 0.06 0.60 Step 2084 of 2112 0.93 256 0.05 0.53 Step 2092 of 2112 0.93 256 0.05 0.57 Step 2100 of 2112 0.93 256 0.06 0.57 Step 2108 of 2112 0.93 256 0.08 0.59 ROW NITER SIG(med) CHI^2 .0000 0 0.90 0.00 .0001 0 0.90 0.00 .0002 0 0.90 0.00 .0003 1 0.90 2.96 .0004 2 0.90 2.87 .0005 1 0.90 2.82 .0006 1 0.90 2.81 .0007 1 0.90 2.85 .0008 1 0.90 3.07 .0009 1 0.90 2.73 .0010 1 0.90 2.78 .0011 2 0.90 3.02 .0012 1 0.90 2.86 .0013 1 0.90 2.88 .0014 1 0.90 3.01 .0015 1 0.90 2.94 .0016 1 0.90 2.92 .0017 1 0.90 2.97 .0018 1 0.90 3.01 .0019 1 0.90 3.06 .0020 1 0.90 2.94 .0021 1 0.90 3.06 .0022 1 0.90 3.00 .0023 1 0.90 2.96 .0024 1 0.90 3.21 .0025 1 0.90 3.23 .0026 1 0.91 3.02 .0027 2 0.91 2.66 .0028 1 0.91 3.22 .0029 1 0.91 3.21 .0030 1 0.91 3.28 .0031 2 0.91 2.92 .0032 2 0.91 2.90 .0033 2 0.91 2.94 .0034 2 0.91 2.85 .0035 2 0.91 2.87 .0036 2 0.91 2.82 .0037 2 0.91 2.99 .0038 2 0.91 2.77 .0039 2 0.91 3.09 .0040 2 0.91 2.85 .0041 2 0.91 3.07 .0042 2 0.91 3.10 .0043 2 0.91 2.90 .0044 2 0.91 3.09 .0045 2 0.91 3.01 .0046 2 0.91 3.21 .0047 2 0.91 2.96 .0048 2 0.91 2.84 .0049 2 0.91 2.99 .0050 2 0.91 2.98 .0051 2 0.91 3.01 .0052 2 0.91 2.97 .0053 2 0.91 2.97 .0054 2 0.91 3.16 .0055 2 0.91 3.02 .0056 2 0.91 3.14 .0057 2 0.91 3.12 .0058 2 0.91 3.45 .0059 2 0.91 3.11 .0060 2 0.91 2.98 .0061 2 0.91 3.02 .0062 2 0.91 3.11 .0063 2 0.91 3.09 .0064 2 0.91 2.98 .0065 2 0.91 3.24 .0066 2 0.91 3.11 .0067 2 0.91 3.04 .0068 2 0.91 3.04 .0069 2 0.91 3.05 .0070 2 0.91 2.89 .0071 2 0.91 2.99 .0072 2 0.91 3.04 .0073 2 0.91 3.08 .0074 2 0.91 3.05 .0075 2 0.91 3.01 .0076 2 0.91 3.22 .0077 2 0.91 3.04 .0078 2 0.91 3.07 .0079 2 0.91 3.09 .0080 2 0.91 3.08 .0081 2 0.91 3.16 .0082 2 0.91 3.07 .0083 2 0.91 3.18 .0084 2 0.91 3.05 .0085 2 0.91 3.27 .0086 2 0.91 3.32 .0087 2 0.91 3.05 .0088 2 0.91 3.18 .0089 2 0.91 3.19 .0090 2 0.91 3.18 .0091 2 0.91 3.19 .0092 2 0.91 3.20 .0093 2 0.91 3.31 .0094 2 0.91 3.28 .0095 2 0.91 3.48 .0096 2 0.91 3.30 .0097 2 0.91 3.38 .0098 2 0.91 3.36 .0099 2 0.91 3.30 .0100 2 0.91 3.38 .0101 3 0.91 3.28 .0102 2 0.91 3.50 .0103 3 0.91 4.37 .0104 2 0.91 3.65 .0105 2 0.91 3.50 .0106 2 0.91 3.11 .0107 2 0.91 3.11 .0108 2 0.91 3.13 .0109 2 0.91 3.07 .0110 2 0.91 3.05 .0111 2 0.91 2.96 .0112 2 0.91 3.24 .0113 2 0.91 3.11 .0114 2 0.91 3.12 .0115 2 0.91 3.06 .0116 3 0.91 3.19 .0117 2 0.91 3.11 .0118 2 0.91 3.12 .0119 2 0.91 3.24 .0120 2 0.91 3.20 .0121 2 0.91 3.19 .0122 2 0.91 3.15 .0123 2 0.91 3.19 .0124 2 0.91 3.24 .0125 2 0.91 3.22 .0126 2 0.91 3.14 .0127 2 0.91 3.25 .0128 2 0.91 3.38 .0129 2 0.91 3.24 .0130 2 0.91 3.20 .0131 2 0.91 3.37 .0132 2 0.91 3.33 .0133 2 0.91 3.41 .0134 2 0.91 3.27 .0135 2 0.91 3.27 .0136 2 0.91 3.45 .0137 2 0.91 3.53 .0138 2 0.91 3.36 .0139 2 0.91 3.41 .0140 2 0.91 3.73 .0141 2 0.91 3.61 .0142 2 0.91 3.60 .0143 2 0.91 3.51 .0144 2 0.91 3.47 .0145 2 0.91 3.71 .0146 2 0.91 3.75 .0147 2 0.91 3.62 .0148 2 0.91 3.71 .0149 2 0.91 3.65 .0150 2 0.91 3.83 .0151 2 0.91 3.74 .0152 2 0.91 3.75 .0153 2 0.91 3.83 .0154 2 0.91 3.71 .0155 2 0.91 3.90 .0156 2 0.91 3.95 .0157 2 0.91 3.89 .0158 2 0.91 4.10 .0159 2 0.91 4.00 .0160 2 0.91 4.53 .0161 2 0.91 4.04 .0162 2 0.91 4.16 .0163 2 0.91 3.89 .0164 2 0.91 3.95 .0165 2 0.91 4.26 .0166 2 0.91 3.92 .0167 2 0.91 4.11 .0168 2 0.91 4.41 .0169 2 0.91 4.09 .0170 2 0.91 4.33 .0171 2 0.91 4.23 .0172 2 0.91 4.46 .0173 2 0.91 4.67 .0174 2 0.91 4.27 .0175 2 0.91 4.48 .0176 2 0.91 4.44 .0177 2 0.91 4.32 .0178 2 0.91 4.42 .0179 2 0.91 4.39 .0180 2 0.91 4.52 .0181 2 0.91 4.67 .0182 2 0.91 4.47 .0183 2 0.91 4.58 .0184 2 0.91 4.63 .0185 2 0.91 4.62 .0186 2 0.91 4.49 .0187 2 0.91 4.57 .0188 2 0.91 4.64 .0189 2 0.91 4.50 .0190 2 0.91 4.61 .0191 2 0.91 4.62 .0192 2 0.91 4.72 .0193 2 0.91 4.52 .0194 2 0.91 4.66 .0195 2 0.91 4.39 .0196 2 0.91 4.69 .0197 2 0.91 4.71 .0198 2 0.91 4.43 .0199 2 0.91 4.54 .0200 3 0.91 4.83 .0201 2 0.91 4.71 .0202 3 0.91 4.84 .0203 2 0.91 4.57 .0204 2 0.91 4.51 .0205 2 0.91 4.64 .0206 1 0.91 5.07 .0207 1 0.91 5.07 .0208 1 0.91 4.93 .0209 1 0.91 4.99 .0210 1 0.91 4.82 .0211 1 0.91 4.99 .0212 1 0.91 4.76 .0213 1 0.91 4.77 .0214 1 0.91 4.76 .0215 1 0.91 4.60 .0216 1 0.91 4.76 .0217 1 0.91 4.65 .0218 1 0.91 4.57 .0219 1 0.91 4.67 .0220 1 0.91 4.59 .0221 1 0.91 4.50 .0222 1 0.91 4.39 .0223 1 0.91 4.40 .0224 1 0.91 4.57 .0225 1 0.91 4.46 .0226 1 0.91 4.40 .0227 1 0.91 4.44 .0228 1 0.91 4.42 .0229 1 0.91 4.48 .0230 1 0.91 4.46 .0231 1 0.91 4.45 .0232 1 0.91 4.40 .0233 1 0.91 4.33 .0234 1 0.91 4.39 .0235 1 0.91 4.28 .0236 1 0.91 4.41 .0237 1 0.91 4.34 .0238 1 0.91 4.26 .0239 1 0.91 4.30 .0240 1 0.91 4.44 .0241 1 0.91 4.18 .0242 1 0.91 4.32 .0243 1 0.91 4.46 .0244 1 0.91 4.23 .0245 1 0.91 4.28 .0246 1 0.91 4.39 .0247 1 0.91 4.44 .0248 1 0.91 4.39 .0249 1 0.91 4.34 .0250 1 0.91 4.44 .0251 1 0.91 4.37 .0252 1 0.91 4.44 .0253 1 0.91 4.38 .0254 1 0.91 4.40 .0255 1 0.91 4.43 .0256 1 0.91 4.44 .0257 1 0.91 4.51 .0258 1 0.91 4.57 .0259 1 0.91 4.77 .0260 1 0.91 4.36 .0261 1 0.91 4.68 .0262 1 0.91 4.49 .0263 1 0.91 4.50 .0264 1 0.91 4.62 .0265 1 0.91 4.40 .0266 1 0.91 4.65 .0267 1 0.91 4.65 .0268 1 0.91 4.63 .0269 1 0.91 4.63 .0270 1 0.91 4.76 .0271 1 0.91 4.93 .0272 1 0.91 4.74 .0273 1 0.91 4.76 .0274 1 0.91 4.77 .0275 1 0.91 4.83 .0276 1 0.91 5.24 .0277 1 0.91 4.81 .0278 1 0.91 4.92 .0279 1 0.91 4.84 .0280 1 0.91 5.05 .0281 1 0.91 5.09 .0282 1 0.91 4.95 .0283 1 0.91 4.88 .0284 1 0.91 5.00 .0285 1 0.91 4.83 .0286 1 0.91 4.91 .0287 1 0.91 4.90 .0288 1 0.91 4.88 .0289 1 0.91 4.93 .0290 1 0.91 4.88 .0291 1 0.91 5.08 .0292 1 0.91 5.12 .0293 1 0.91 5.11 .0294 1 0.91 5.22 .0295 1 0.91 5.19 .0296 1 0.91 5.07 .0297 1 0.91 5.20 .0298 1 0.91 4.96 .0299 1 0.91 5.18 .0300 1 0.91 5.23 .0301 1 0.91 5.24 .0302 2 0.91 4.45 .0303 1 0.91 5.33 .0304 2 0.91 4.68 .0305 2 0.91 4.82 .0306 2 0.91 4.64 .0307 2 0.91 4.53 .0308 2 0.91 4.65 .0309 2 0.91 4.64 .0310 2 0.91 4.59 .0311 2 0.91 4.51 .0312 2 0.91 4.55 .0313 2 0.91 4.56 .0314 2 0.91 4.47 .0315 2 0.91 4.59 .0316 2 0.91 4.56 .0317 2 0.91 4.57 .0318 2 0.91 4.62 .0319 2 0.91 4.48 .0320 2 0.91 4.43 .0321 2 0.91 4.52 .0322 3 0.91 4.40 .0323 2 0.91 4.63 .0324 2 0.91 4.44 .0325 2 0.91 4.40 .0326 2 0.91 4.56 .0327 2 0.91 4.66 .0328 2 0.91 4.45 .0329 2 0.91 4.47 .0330 2 0.91 4.52 .0331 2 0.91 4.39 .0332 2 0.91 4.50 .0333 2 0.91 4.27 .0334 2 0.91 4.24 .0335 2 0.91 4.25 .0336 2 0.91 4.27 .0337 2 0.91 4.35 .0338 2 0.91 4.15 .0339 2 0.91 4.39 .0340 2 0.91 4.35 .0341 2 0.91 4.18 .0342 2 0.91 4.16 .0343 2 0.91 4.18 .0344 2 0.91 4.06 .0345 2 0.91 4.10 .0346 2 0.91 4.13 .0347 2 0.91 4.26 .0348 2 0.91 3.91 .0349 2 0.91 4.21 .0350 2 0.91 3.77 .0351 2 0.91 4.15 .0352 2 0.91 4.06 .0353 2 0.91 3.93 .0354 2 0.91 3.95 .0355 2 0.91 3.88 .0356 2 0.91 3.91 .0357 2 0.91 4.07 .0358 2 0.91 3.96 .0359 2 0.91 3.87 .0360 2 0.91 3.85 .0361 2 0.91 3.99 .0362 2 0.91 3.94 .0363 2 0.91 3.92 .0364 2 0.91 3.73 .0365 2 0.91 3.93 .0366 2 0.91 3.80 .0367 2 0.91 3.87 .0368 2 0.91 3.72 .0369 2 0.91 3.74 .0370 2 0.91 3.87 .0371 2 0.91 3.78 .0372 2 0.91 4.10 .0373 2 0.91 3.83 .0374 2 0.91 3.87 .0375 2 0.91 3.81 .0376 2 0.91 3.71 .0377 2 0.91 3.89 .0378 2 0.91 3.84 .0379 2 0.91 3.86 .0380 2 0.91 3.75 .0381 2 0.91 3.94 .0382 2 0.91 4.05 .0383 2 0.91 3.79 .0384 3 0.91 3.84 .0385 2 0.91 3.79 .0386 2 0.91 3.71 .0387 2 0.91 3.75 .0388 2 0.91 3.87 .0389 2 0.91 3.95 .0390 2 0.91 3.79 .0391 2 0.91 3.89 .0392 2 0.91 3.76 .0393 2 0.91 4.11 .0394 2 0.91 3.74 .0395 2 0.91 3.99 .0396 2 0.91 3.95 .0397 2 0.91 3.98 .0398 2 0.91 3.97 .0399 2 0.91 4.03 .0400 2 0.91 3.93 .0401 2 0.91 4.06 .0402 3 0.91 3.93 .0403 2 0.91 4.00 .0404 3 0.91 3.70 .0405 2 0.91 3.39 .0406 2 0.91 3.70 .0407 2 0.91 3.54 .0408 2 0.91 3.74 .0409 2 0.91 3.41 .0410 2 0.91 3.38 .0411 2 0.91 3.49 .0412 2 0.91 3.44 .0413 2 0.91 3.33 .0414 2 0.91 3.38 .0415 2 0.91 3.53 .0416 2 0.91 3.60 .0417 2 0.91 3.58 .0418 2 0.91 3.45 .0419 2 0.91 3.41 .0420 2 0.91 3.51 .0421 2 0.91 3.41 .0422 2 0.91 3.39 .0423 2 0.91 3.45 .0424 2 0.91 3.30 .0425 2 0.91 3.44 .0426 2 0.91 3.54 .0427 2 0.91 3.58 .0428 2 0.91 3.49 .0429 2 0.91 3.34 .0430 2 0.91 3.38 .0431 2 0.91 3.52 .0432 2 0.91 3.49 .0433 2 0.91 3.51 .0434 2 0.91 3.47 .0435 2 0.91 3.45 .0436 2 0.91 3.67 .0437 2 0.91 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0.95 4.41 .1770 1 0.95 4.58 .1771 1 0.95 4.34 .1772 1 0.95 4.36 .1773 1 0.95 4.25 .1774 1 0.95 4.36 .1775 1 0.95 4.24 .1776 1 0.95 4.47 .1777 1 0.95 4.59 .1778 1 0.95 4.46 .1779 1 0.95 4.52 .1780 1 0.95 4.40 .1781 1 0.95 4.26 .1782 1 0.95 4.48 .1783 1 0.95 4.39 .1784 1 0.95 4.44 .1785 1 0.95 4.47 .1786 1 0.95 4.37 .1787 1 0.95 4.39 .1788 1 0.95 4.41 .1789 1 0.95 4.33 .1790 1 0.95 4.38 .1791 1 0.95 4.56 .1792 1 0.95 4.27 .1793 1 0.95 4.39 .1794 1 0.95 4.46 .1795 1 0.95 4.34 .1796 1 0.95 4.29 .1797 1 0.95 4.53 .1798 1 0.95 4.44 .1799 1 0.95 4.40 .1800 1 0.95 4.40 .1801 1 0.95 4.45 .1802 1 0.95 4.29 .1803 1 0.96 5.13 .1804 1 0.96 4.34 .1805 1 0.96 4.49 .1806 1 0.96 4.34 .1807 2 0.96 4.56 .1808 1 0.96 4.65 .1809 1 0.96 4.43 .1810 1 0.96 4.47 .1811 1 0.96 4.46 .1812 1 0.96 4.55 .1813 1 0.96 4.60 .1814 1 0.96 4.66 .1815 1 0.96 4.53 .1816 1 0.96 4.49 .1817 1 0.96 4.50 .1818 1 0.96 4.66 .1819 1 0.96 4.59 .1820 1 0.96 4.76 .1821 1 0.96 4.51 .1822 1 0.96 4.76 .1823 2 0.96 4.93 .1824 1 0.96 5.61 .1825 1 0.96 4.84 .1826 1 0.96 4.58 .1827 1 0.96 4.71 .1828 1 0.96 4.99 .1829 1 0.96 4.61 .1830 1 0.96 4.75 .1831 1 0.96 4.86 .1832 1 0.96 4.76 .1833 1 0.96 4.49 .1834 1 0.96 4.67 .1835 1 0.96 4.79 .1836 1 0.96 4.85 .1837 1 0.96 4.56 .1838 1 0.96 4.73 .1839 1 0.96 4.79 .1840 1 0.96 4.44 .1841 1 0.96 4.61 .1842 1 0.96 4.61 .1843 1 0.96 4.80 .1844 1 0.96 4.71 .1845 1 0.96 4.56 .1846 1 0.96 4.69 .1847 1 0.96 4.57 .1848 1 0.96 4.52 .1849 1 0.96 4.77 .1850 1 0.96 4.80 .1851 1 0.96 4.61 .1852 1 0.96 4.65 .1853 1 0.96 4.73 .1854 1 0.96 4.66 .1855 1 0.96 4.87 .1856 1 0.96 4.90 .1857 1 0.96 4.90 .1858 1 0.96 4.79 .1859 1 0.96 4.91 .1860 1 0.96 4.88 .1861 1 0.96 4.94 .1862 1 0.96 4.92 .1863 1 0.96 5.04 .1864 1 0.96 4.62 .1865 1 0.96 4.71 .1866 1 0.96 4.96 .1867 1 0.96 4.83 .1868 1 0.96 4.94 .1869 1 0.96 4.82 .1870 1 0.96 4.81 .1871 1 0.96 5.00 .1872 1 0.96 4.73 .1873 1 0.96 4.93 .1874 1 0.96 4.92 .1875 1 0.96 4.82 .1876 1 0.96 4.91 .1877 1 0.96 4.68 .1878 1 0.96 4.81 .1879 1 0.96 4.75 .1880 1 0.96 4.75 .1881 1 0.96 4.69 .1882 1 0.96 4.72 .1883 1 0.96 4.69 .1884 1 0.96 4.76 .1885 1 0.96 5.23 .1886 1 0.96 4.74 .1887 1 0.96 4.75 .1888 1 0.96 4.62 .1889 1 0.96 4.58 .1890 1 0.96 4.75 .1891 1 0.96 4.74 .1892 1 0.96 4.46 .1893 1 0.96 4.57 .1894 1 0.96 4.65 .1895 1 0.96 4.77 .1896 1 0.96 4.81 .1897 1 0.96 4.57 .1898 2 0.96 4.79 .1899 1 0.96 4.72 .1900 1 0.96 4.67 .1901 1 0.96 4.64 .1902 1 0.96 4.70 .1903 1 0.96 4.85 .1904 1 0.96 4.61 .1905 1 0.96 4.84 .1906 1 0.96 5.10 .1907 1 0.96 4.99 .1908 1 0.96 4.76 .1909 1 0.96 4.71 .1910 1 0.96 4.75 .1911 1 0.96 4.73 .1912 1 0.96 4.63 .1913 1 0.96 4.80 .1914 1 0.96 4.65 .1915 1 0.96 4.75 .1916 1 0.96 4.72 .1917 1 0.96 4.78 .1918 1 0.96 4.76 .1919 1 0.96 4.62 .1920 1 0.96 4.57 .1921 1 0.96 4.54 .1922 1 0.96 4.52 .1923 2 0.96 5.83 .1924 1 0.96 4.63 .1925 1 0.96 4.79 .1926 1 0.96 4.75 .1927 1 0.96 5.34 .1928 2 0.96 4.79 .1929 1 0.96 4.70 .1930 1 0.96 4.78 .1931 1 0.96 4.56 .1932 1 0.96 4.59 .1933 1 0.96 4.62 .1934 1 0.96 4.68 .1935 1 0.96 4.66 .1936 1 0.96 4.56 .1937 1 0.96 4.63 .1938 2 0.96 4.76 .1939 1 0.96 4.51 .1940 1 0.96 4.27 .1941 1 0.96 4.74 .1942 2 0.96 4.54 .1943 1 0.96 4.36 .1944 1 0.96 4.60 .1945 1 0.96 4.54 .1946 1 0.96 4.41 .1947 1 0.96 4.50 .1948 1 0.96 4.48 .1949 1 0.96 4.67 .1950 1 0.96 5.15 .1951 1 0.96 4.31 .1952 1 0.96 4.43 .1953 1 0.96 4.54 .1954 1 0.96 4.53 .1955 1 0.96 4.45 .1956 1 0.96 4.57 .1957 1 0.96 4.28 .1958 1 0.96 4.47 .1959 1 0.96 4.44 .1960 1 0.96 4.47 .1961 1 0.96 4.57 .1962 1 0.96 4.45 .1963 1 0.96 4.41 .1964 1 0.96 4.43 .1965 1 0.96 4.45 .1966 1 0.96 4.38 .1967 1 0.96 4.56 .1968 1 0.96 4.52 .1969 1 0.96 4.57 .1970 2 0.96 4.56 .1971 1 0.96 4.43 .1972 1 0.96 4.68 .1973 1 0.96 4.42 .1974 2 0.96 4.56 .1975 1 0.96 4.40 .1976 1 0.96 4.50 .1977 1 0.96 4.33 .1978 1 0.96 4.67 .1979 1 0.96 4.83 .1980 1 0.96 4.44 .1981 1 0.96 4.48 .1982 1 0.96 4.63 .1983 1 0.95 4.51 .1984 1 0.95 4.43 .1985 1 0.95 4.61 .1986 1 0.95 4.41 .1987 1 0.95 4.48 .1988 1 0.95 4.37 .1989 1 0.95 4.41 .1990 1 0.95 4.44 .1991 1 0.95 4.44 .1992 1 0.95 4.21 .1993 1 0.95 4.37 .1994 1 0.95 4.12 .1995 1 0.95 4.14 .1996 1 0.95 4.20 .1997 1 0.95 4.12 .1998 1 0.95 4.10 .1999 1 0.95 4.20 .2000 1 0.95 4.29 .2001 1 0.95 4.13 .2002 1 0.95 4.19 .2003 1 0.95 4.24 .2004 1 0.95 4.20 .2005 1 0.95 4.52 .2006 1 0.95 4.59 .2007 1 0.95 4.44 .2008 1 0.95 4.45 .2009 1 0.95 4.44 .2010 1 0.95 4.75 .2011 1 0.95 5.53 .2012 1 0.95 4.55 .2013 1 0.95 4.90 .2014 1 0.95 4.52 .2015 1 0.95 4.34 .2016 1 0.95 4.46 .2017 1 0.95 4.61 .2018 1 0.95 4.40 .2019 1 0.95 4.74 .2020 1 0.95 4.54 .2021 1 0.95 4.27 .2022 1 0.95 4.48 .2023 1 0.95 4.10 .2024 1 0.95 4.27 .2025 1 0.95 4.20 .2026 1 0.95 4.20 .2027 1 0.95 4.95 .2028 1 0.95 4.39 .2029 1 0.95 4.21 .2030 1 0.95 4.07 .2031 1 0.95 4.24 .2032 1 0.95 4.14 .2033 1 0.95 3.90 .2034 1 0.95 4.07 .2035 1 0.95 4.01 .2036 1 0.95 3.92 .2037 1 0.95 4.13 .2038 1 0.95 4.05 .2039 1 0.95 3.92 .2040 1 0.95 4.01 .2041 1 0.95 4.03 .2042 1 0.95 4.17 .2043 1 0.95 3.99 .2044 1 0.95 4.08 .2045 1 0.95 4.34 .2046 1 0.95 4.30 .2047 1 0.95 4.28 EXTRACT_IMAGE: r2: masked 488 pixels SPCALIB: r2: First extraction chi^2 0.00000 12.0783 SPCALIB: r2: Second extraction chi^2 0.00000 11.2427 SUPERFLAT: r2: Creating superflat from 306 fibers Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r2: Number of fiberflat points LE 0 = 13167 SPCALIB: r2: Create fiberflats for flat # 2 of 2 SPCALIB: r2: Flat sdR-r2-00034756.fit paired with arc sdR-r2-00034757.fit SPCALIB: r2: Reading flat sdR-r2-00034756.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: r2: Selecting op file opConfig-50000.par FINDOPFILE: r2: Selecting op file opBC-51813.par SDSSPROC: r2: Measured read-noise in DN for amp# 2 = 4.50693 SDSSPROC: r2: Measured bias value in DN for amp# 2 = 469.214 SDSSPROC: r2: Applying gain for amp# 2 = 1.05000 SDSSPROC: r2: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: r2: Measured read-noise in DN for amp# 3 = 3.73945 SDSSPROC: r2: Measured bias value in DN for amp# 3 = 1321.50 SDSSPROC: r2: Applying gain for amp# 3 = 1.05000 SDSSPROC: r2: Amp #3 Number of pix below bias-5*sigma= 1301. DN is 0 FINDOPFILE: r2: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: r2: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: r2: Selecting op file pixflatave-53678-r2.fits SDSSPROC: r2: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 1 0.91 2.69 .0004 1 0.91 2.85 .0005 1 0.91 2.73 .0006 1 0.91 2.77 .0007 1 0.91 2.63 .0008 1 0.91 2.98 .0009 1 0.91 2.85 .0010 1 0.91 2.75 .0011 2 0.91 2.89 .0012 1 0.91 2.80 .0013 1 0.91 3.08 .0014 2 0.91 3.38 .0015 1 0.91 3.08 .0016 1 0.91 2.82 .0017 1 0.91 2.95 .0018 1 0.91 3.13 .0019 1 0.91 3.27 .0020 2 0.91 3.19 .0021 3 0.91 2.95 .0022 1 0.91 3.49 .0023 1 0.91 3.15 .0024 2 0.91 3.09 .0025 2 0.91 3.73 .0026 2 0.91 3.10 .0027 2 0.91 2.70 .0028 1 0.91 3.10 .0029 2 0.91 2.82 .0030 2 0.91 2.83 .0031 2 0.91 2.78 .0032 2 0.91 2.90 .0033 2 0.91 3.07 .0034 2 0.91 2.85 .0035 2 0.91 2.75 .0036 2 0.91 2.97 .0037 2 0.91 2.92 .0038 2 0.91 2.91 .0039 2 0.91 3.04 .0040 2 0.91 2.85 .0041 2 0.91 2.84 .0042 2 0.91 2.85 .0043 2 0.91 2.88 .0044 2 0.91 3.07 .0045 2 0.91 2.84 .0046 2 0.91 2.92 .0047 2 0.91 3.00 .0048 2 0.91 3.17 .0049 3 0.91 3.12 .0050 2 0.91 3.05 .0051 2 0.91 2.97 .0052 2 0.91 2.93 .0053 2 0.91 3.22 .0054 2 0.91 2.94 .0055 2 0.91 3.11 .0056 2 0.91 3.05 .0057 2 0.91 3.07 .0058 2 0.91 3.07 .0059 2 0.91 3.05 .0060 2 0.91 3.09 .0061 2 0.91 3.23 .0062 2 0.91 3.20 .0063 2 0.91 3.04 .0064 2 0.91 3.07 .0065 2 0.91 3.10 .0066 2 0.91 3.08 .0067 2 0.91 3.32 .0068 2 0.91 3.01 .0069 2 0.91 3.15 .0070 2 0.91 3.04 .0071 2 0.91 3.12 .0072 2 0.91 3.14 .0073 2 0.91 3.07 .0074 2 0.91 3.44 .0075 2 0.91 3.13 .0076 2 0.91 3.17 .0077 2 0.91 3.14 .0078 2 0.91 3.04 .0079 2 0.91 3.15 .0080 2 0.91 3.15 .0081 2 0.91 3.20 .0082 2 0.91 3.10 .0083 2 0.91 3.23 .0084 2 0.91 3.22 .0085 2 0.91 2.98 .0086 2 0.91 3.20 .0087 2 0.91 3.00 .0088 2 0.91 3.28 .0089 2 0.91 3.14 .0090 2 0.91 3.21 .0091 2 0.91 3.29 .0092 2 0.91 3.22 .0093 2 0.91 3.38 .0094 2 0.91 3.38 .0095 2 0.91 4.36 .0096 2 0.91 3.29 .0097 2 0.91 3.44 .0098 2 0.91 3.37 .0099 2 0.91 3.55 .0100 2 0.91 3.47 .0101 2 0.91 3.46 .0102 2 0.91 3.40 .0103 2 0.91 3.51 .0104 2 0.91 3.43 .0105 2 0.91 3.20 .0106 2 0.91 3.28 .0107 3 0.91 3.12 .0108 2 0.91 3.18 .0109 2 0.91 3.16 .0110 2 0.91 3.26 .0111 2 0.91 3.19 .0112 2 0.91 3.03 .0113 2 0.91 3.13 .0114 2 0.91 3.28 .0115 2 0.91 3.19 .0116 2 0.91 3.21 .0117 2 0.91 3.38 .0118 2 0.91 3.25 .0119 2 0.91 3.32 .0120 2 0.91 3.27 .0121 2 0.91 3.30 .0122 2 0.91 3.44 .0123 2 0.91 3.29 .0124 2 0.91 3.18 .0125 2 0.91 3.02 .0126 2 0.91 3.18 .0127 2 0.91 3.16 .0128 2 0.91 3.14 .0129 2 0.91 3.44 .0130 2 0.91 3.41 .0131 2 0.91 3.52 .0132 2 0.91 3.31 .0133 2 0.91 3.36 .0134 2 0.91 3.37 .0135 2 0.91 3.47 .0136 2 0.91 3.48 .0137 2 0.91 3.49 .0138 2 0.91 3.48 .0139 2 0.91 3.63 .0140 2 0.91 3.78 .0141 2 0.91 3.54 .0142 2 0.91 3.54 .0143 2 0.91 3.54 .0144 2 0.91 3.68 .0145 2 0.91 3.42 .0146 2 0.91 3.67 .0147 2 0.91 3.58 .0148 2 0.91 3.78 .0149 2 0.91 3.68 .0150 2 0.91 3.80 .0151 2 0.91 3.60 .0152 2 0.91 3.75 .0153 2 0.91 3.84 .0154 2 0.91 3.99 .0155 2 0.91 3.93 .0156 2 0.91 3.99 .0157 2 0.91 4.05 .0158 2 0.91 4.11 .0159 2 0.91 4.10 .0160 2 0.91 3.91 .0161 2 0.91 4.01 .0162 2 0.91 3.82 .0163 2 0.91 4.27 .0164 2 0.91 4.15 .0165 2 0.91 4.42 .0166 3 0.91 4.34 .0167 2 0.91 4.71 .0168 2 0.91 4.35 .0169 2 0.91 4.33 .0170 2 0.91 4.06 .0171 2 0.91 4.23 .0172 2 0.91 4.46 .0173 2 0.91 4.60 .0174 2 0.91 4.54 .0175 2 0.91 4.55 .0176 2 0.91 4.25 .0177 2 0.91 4.63 .0178 2 0.91 4.49 .0179 2 0.91 4.53 .0180 2 0.91 4.82 .0181 2 0.91 4.43 .0182 2 0.91 4.55 .0183 2 0.91 4.47 .0184 2 0.91 4.67 .0185 2 0.91 4.49 .0186 2 0.91 4.58 .0187 2 0.91 4.56 .0188 2 0.91 4.83 .0189 2 0.91 4.55 .0190 2 0.91 4.60 .0191 2 0.91 4.58 .0192 2 0.91 4.60 .0193 2 0.91 4.83 .0194 2 0.91 4.56 .0195 2 0.91 4.69 .0196 2 0.91 4.70 .0197 2 0.91 4.69 .0198 2 0.91 4.62 .0199 2 0.91 4.50 .0200 2 0.91 4.53 .0201 2 0.91 4.65 .0202 2 0.91 4.55 .0203 2 0.91 4.89 .0204 3 0.91 4.82 .0205 2 0.91 4.45 .0206 1 0.91 5.28 .0207 1 0.91 5.16 .0208 1 0.91 4.98 .0209 1 0.91 4.92 .0210 1 0.91 4.91 .0211 1 0.91 4.77 .0212 1 0.91 5.04 .0213 1 0.91 4.87 .0214 1 0.91 5.10 .0215 3 0.91 4.56 .0216 3 0.91 5.00 .0217 1 0.91 4.70 .0218 1 0.91 4.68 .0219 1 0.91 4.68 .0220 1 0.91 4.60 .0221 1 0.91 4.40 .0222 1 0.91 4.55 .0223 2 0.91 4.85 .0224 1 0.91 4.52 .0225 1 0.91 4.42 .0226 1 0.91 4.46 .0227 1 0.91 4.66 .0228 1 0.91 4.51 .0229 1 0.91 4.39 .0230 1 0.91 4.57 .0231 1 0.91 4.42 .0232 1 0.91 4.38 .0233 1 0.91 4.52 .0234 1 0.91 4.44 .0235 1 0.91 4.43 .0236 1 0.91 4.41 .0237 1 0.91 4.37 .0238 1 0.91 4.37 .0239 1 0.91 4.31 .0240 1 0.91 4.17 .0241 1 0.91 4.31 .0242 1 0.91 4.46 .0243 1 0.91 4.29 .0244 1 0.91 4.45 .0245 1 0.91 4.47 .0246 1 0.91 4.30 .0247 1 0.91 4.20 .0248 1 0.91 4.49 .0249 1 0.91 4.28 .0250 1 0.91 4.26 .0251 1 0.91 4.36 .0252 1 0.91 4.40 .0253 2 0.91 4.45 .0254 4 0.91 4.55 .0255 2 0.91 4.46 .0256 1 0.91 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0.95 6.09 .1922 1 0.95 6.63 .1923 1 0.95 6.08 .1924 1 0.95 6.27 .1925 1 0.95 6.33 .1926 1 0.95 6.04 .1927 1 0.95 6.09 .1928 1 0.95 6.18 .1929 1 0.95 6.81 .1930 1 0.95 6.27 .1931 1 0.95 6.14 .1932 1 0.95 6.15 .1933 1 0.95 6.49 .1934 1 0.95 6.24 .1935 1 0.95 6.25 .1936 1 0.95 6.19 .1937 1 0.95 6.16 .1938 1 0.95 6.25 .1939 1 0.95 6.07 .1940 1 0.95 5.89 .1941 1 0.95 6.16 .1942 1 0.95 6.23 .1943 1 0.95 6.02 .1944 1 0.95 5.87 .1945 1 0.95 5.92 .1946 1 0.95 5.73 .1947 1 0.95 5.98 .1948 2 0.95 5.98 .1949 1 0.95 5.84 .1950 1 0.95 5.96 .1951 1 0.95 5.97 .1952 1 0.95 5.89 .1953 1 0.95 5.62 .1954 1 0.95 5.68 .1955 1 0.95 5.89 .1956 1 0.95 5.86 .1957 1 0.95 5.90 .1958 1 0.95 5.86 .1959 1 0.95 5.75 .1960 1 0.95 5.97 .1961 1 0.95 5.98 .1962 1 0.95 5.84 .1963 1 0.95 6.06 .1964 1 0.95 5.94 .1965 2 0.95 6.12 .1966 1 0.95 6.13 .1967 1 0.95 5.85 .1968 1 0.95 5.76 .1969 1 0.95 5.77 .1970 1 0.95 5.95 .1971 1 0.95 5.97 .1972 1 0.95 6.09 .1973 2 0.95 5.83 .1974 2 0.95 5.82 .1975 1 0.95 5.99 .1976 1 0.95 6.00 .1977 1 0.95 5.81 .1978 1 0.95 5.87 .1979 1 0.95 6.11 .1980 1 0.95 6.33 .1981 1 0.95 5.97 .1982 1 0.95 5.96 .1983 1 0.95 6.09 .1984 1 0.95 5.87 .1985 1 0.95 5.90 .1986 1 0.95 6.43 .1987 1 0.95 5.85 .1988 1 0.95 5.87 .1989 1 0.95 5.76 .1990 1 0.95 5.68 .1991 1 0.95 5.85 .1992 1 0.95 6.19 .1993 1 0.95 5.46 .1994 1 0.95 5.76 .1995 1 0.95 5.63 .1996 1 0.95 5.51 .1997 1 0.95 5.52 .1998 1 0.95 5.63 .1999 1 0.95 5.37 .2000 1 0.95 5.47 .2001 1 0.95 5.46 .2002 1 0.95 5.41 .2003 1 0.95 5.37 .2004 1 0.95 5.61 .2005 1 0.95 5.61 .2006 1 0.95 5.66 .2007 1 0.95 5.70 .2008 1 0.95 5.61 .2009 2 0.95 5.71 .2010 2 0.95 5.54 .2011 1 0.95 5.57 .2012 1 0.95 5.65 .2013 1 0.95 5.50 .2014 1 0.95 5.74 .2015 1 0.95 5.75 .2016 1 0.95 5.66 .2017 1 0.95 5.70 .2018 1 0.95 5.59 .2019 1 0.95 5.65 .2020 1 0.95 5.56 .2021 1 0.95 5.65 .2022 1 0.95 5.34 .2023 1 0.95 5.50 .2024 1 0.95 5.47 .2025 1 0.95 5.34 .2026 1 0.95 5.28 .2027 1 0.95 5.34 .2028 1 0.95 5.28 .2029 1 0.95 5.14 .2030 1 0.95 5.12 .2031 1 0.95 5.13 .2032 1 0.95 5.01 .2033 1 0.95 4.98 .2034 1 0.95 4.94 .2035 1 0.95 5.00 .2036 1 0.95 4.98 .2037 1 0.95 5.03 .2038 1 0.95 4.90 .2039 1 0.95 4.93 .2040 1 0.95 4.97 .2041 1 0.95 5.09 .2042 1 0.95 5.08 .2043 1 0.95 5.06 .2044 1 0.95 5.01 .2045 1 0.95 5.05 .2046 1 0.95 4.94 .2047 1 0.95 4.99 EXTRACT_IMAGE: r2: masked 485 pixels DOSCATTER: r2: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: r2: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: r2: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.18 Step 20 of 2112 0.58 96 0.02 0.17 Step 28 of 2112 0.59 96 0.02 0.16 Step 36 of 2112 0.59 96 0.02 0.17 Step 44 of 2112 0.59 96 0.02 0.16 Step 52 of 2112 0.59 96 0.02 0.16 Step 60 of 2112 0.59 96 0.03 0.17 Step 68 of 2112 0.59 96 0.02 0.17 Step 76 of 2112 0.59 96 0.02 0.17 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.17 Step 100 of 2112 0.60 96 0.02 0.14 Step 108 of 2112 0.60 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.16 Step 124 of 2112 0.60 96 0.02 0.18 Step 132 of 2112 0.60 96 0.02 0.18 Step 140 of 2112 0.60 96 0.01 0.17 Step 148 of 2112 0.60 96 0.01 0.18 Step 156 of 2112 0.60 96 0.02 0.17 Step 164 of 2112 0.61 96 0.02 0.17 Step 172 of 2112 0.61 96 0.02 0.17 Step 180 of 2112 0.61 96 0.01 0.18 Step 188 of 2112 0.61 96 0.02 0.18 Step 196 of 2112 0.61 96 0.03 0.17 Step 204 of 2112 0.61 96 0.02 0.16 Step 212 of 2112 0.61 96 0.02 0.17 Step 220 of 2112 0.61 96 0.02 0.17 Step 228 of 2112 0.62 96 0.02 0.18 Step 236 of 2112 0.62 96 0.02 0.17 Step 244 of 2112 0.62 96 0.02 0.16 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.02 0.17 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.63 96 0.02 0.16 Step 300 of 2112 0.63 96 0.02 0.15 Step 308 of 2112 0.63 96 0.02 0.16 Step 316 of 2112 0.63 96 0.02 0.16 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.03 0.16 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.64 96 0.02 0.16 Step 372 of 2112 0.64 96 0.02 0.18 Step 380 of 2112 0.64 96 0.02 0.17 Step 388 of 2112 0.64 96 0.02 0.17 Step 396 of 2112 0.64 96 0.02 0.17 Step 404 of 2112 0.64 96 0.02 0.16 Step 412 of 2112 0.64 96 0.02 0.17 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.65 96 0.02 0.14 Step 436 of 2112 0.65 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.16 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.16 Step 468 of 2112 0.65 96 0.03 0.18 Step 476 of 2112 0.65 96 0.02 0.16 Step 484 of 2112 0.65 96 0.02 0.17 Step 492 of 2112 0.66 96 0.02 0.17 Step 500 of 2112 0.66 96 0.02 0.17 Step 508 of 2112 0.66 96 0.02 0.17 Step 516 of 2112 0.66 96 0.02 0.18 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.03 0.18 Step 540 of 2112 0.66 96 0.02 0.16 Step 548 of 2112 0.67 96 0.02 0.15 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.14 Step 572 of 2112 0.67 96 0.02 0.15 Step 580 of 2112 0.67 96 0.02 0.14 Step 588 of 2112 0.67 96 0.02 0.16 Step 596 of 2112 0.67 96 0.03 0.14 Step 604 of 2112 0.67 96 0.02 0.19 Step 612 of 2112 0.68 96 0.02 0.17 Step 620 of 2112 0.68 96 0.02 0.17 Step 628 of 2112 0.68 96 0.02 0.16 Step 636 of 2112 0.68 96 0.02 0.16 Step 644 of 2112 0.68 128 0.02 0.22 Step 652 of 2112 0.68 128 0.03 0.25 Step 660 of 2112 0.68 128 0.03 0.22 Step 668 of 2112 0.68 128 0.02 0.22 Step 676 of 2112 0.69 128 0.02 0.22 Step 684 of 2112 0.69 128 0.02 0.21 Step 692 of 2112 0.69 128 0.03 0.22 Step 700 of 2112 0.69 128 0.02 0.21 Step 708 of 2112 0.69 128 0.02 0.21 Step 716 of 2112 0.69 128 0.02 0.20 Step 724 of 2112 0.69 128 0.02 0.23 Step 732 of 2112 0.69 128 0.02 0.20 Step 740 of 2112 0.70 128 0.02 0.22 Step 748 of 2112 0.70 128 0.02 0.22 Step 756 of 2112 0.70 128 0.03 0.21 Step 764 of 2112 0.70 128 0.02 0.23 Step 772 of 2112 0.70 128 0.02 0.23 Step 780 of 2112 0.70 128 0.03 0.24 Step 788 of 2112 0.70 128 0.02 0.22 Step 796 of 2112 0.71 128 0.03 0.25 Step 804 of 2112 0.71 128 0.03 0.26 Step 812 of 2112 0.71 128 0.03 0.23 Step 820 of 2112 0.71 128 0.02 0.23 Step 828 of 2112 0.71 128 0.02 0.22 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.02 0.22 Step 852 of 2112 0.71 128 0.02 0.23 Step 860 of 2112 0.72 128 0.02 0.21 Step 868 of 2112 0.72 128 0.03 0.21 Step 876 of 2112 0.72 128 0.02 0.20 Step 884 of 2112 0.72 128 0.02 0.20 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.03 0.24 Step 908 of 2112 0.72 128 0.03 0.21 Step 916 of 2112 0.73 128 0.03 0.25 Step 924 of 2112 0.73 128 0.02 0.21 Step 932 of 2112 0.73 128 0.03 0.23 Step 940 of 2112 0.73 128 0.02 0.23 Step 948 of 2112 0.73 128 0.02 0.22 Step 956 of 2112 0.73 128 0.02 0.23 Step 964 of 2112 0.73 128 0.03 0.21 Step 972 of 2112 0.73 128 0.02 0.23 Step 980 of 2112 0.74 128 0.01 0.22 Step 988 of 2112 0.74 128 0.01 0.22 Step 996 of 2112 0.74 128 0.02 0.22 Step 1004 of 2112 0.74 128 0.02 0.23 Step 1012 of 2112 0.74 128 0.03 0.27 Step 1020 of 2112 0.74 128 0.04 0.25 Step 1028 of 2112 0.74 128 0.03 0.25 Step 1036 of 2112 0.75 128 0.03 0.23 Step 1044 of 2112 0.75 128 0.02 0.26 Step 1052 of 2112 0.75 128 0.03 0.21 Step 1060 of 2112 0.75 128 0.03 0.26 Step 1068 of 2112 0.75 128 0.02 0.23 Step 1076 of 2112 0.75 128 0.02 0.21 Step 1084 of 2112 0.75 128 0.02 0.22 Step 1092 of 2112 0.75 160 0.03 0.36 Step 1100 of 2112 0.76 160 0.03 0.37 Step 1108 of 2112 0.76 160 0.05 0.38 Step 1116 of 2112 0.76 160 0.05 0.34 Step 1124 of 2112 0.76 160 0.03 0.33 Step 1132 of 2112 0.76 160 0.04 0.36 Step 1140 of 2112 0.76 160 0.04 0.34 Step 1148 of 2112 0.76 160 0.03 0.36 Step 1156 of 2112 0.77 160 0.03 0.34 Step 1164 of 2112 0.77 160 0.03 0.39 Step 1172 of 2112 0.77 160 0.03 0.36 Step 1180 of 2112 0.77 160 0.03 0.40 Step 1188 of 2112 0.77 160 0.03 0.36 Step 1196 of 2112 0.77 160 0.03 0.37 Step 1204 of 2112 0.77 160 0.03 0.35 Step 1212 of 2112 0.78 160 0.03 0.33 Step 1220 of 2112 0.78 160 0.03 0.35 Step 1228 of 2112 0.78 160 0.03 0.36 Step 1236 of 2112 0.78 160 0.03 0.35 Step 1244 of 2112 0.78 160 0.04 0.38 Step 1252 of 2112 0.78 160 0.03 0.35 Step 1260 of 2112 0.78 160 0.03 0.35 Step 1268 of 2112 0.78 160 0.04 0.35 Step 1276 of 2112 0.79 160 0.03 0.36 Step 1284 of 2112 0.79 160 0.03 0.37 Step 1292 of 2112 0.79 160 0.03 0.35 Step 1300 of 2112 0.79 160 0.03 0.34 Step 1308 of 2112 0.79 160 0.03 0.32 Step 1316 of 2112 0.79 160 0.03 0.36 Step 1324 of 2112 0.79 160 0.03 0.36 Step 1332 of 2112 0.80 160 0.03 0.34 Step 1340 of 2112 0.80 160 0.04 0.36 Step 1348 of 2112 0.80 160 0.03 0.37 Step 1356 of 2112 0.80 160 0.03 0.33 Step 1364 of 2112 0.80 160 0.03 0.34 Step 1372 of 2112 0.80 160 0.03 0.34 Step 1380 of 2112 0.80 160 0.03 0.35 Step 1388 of 2112 0.81 160 0.03 0.32 Step 1396 of 2112 0.81 160 0.03 0.34 Step 1404 of 2112 0.81 160 0.03 0.35 Step 1412 of 2112 0.81 160 0.03 0.34 Step 1420 of 2112 0.81 160 0.03 0.38 Step 1428 of 2112 0.81 160 0.05 0.36 Step 1436 of 2112 0.81 160 0.03 0.35 Step 1444 of 2112 0.82 160 0.03 0.35 Step 1452 of 2112 0.82 192 0.05 0.47 Step 1460 of 2112 0.82 192 0.03 0.39 Step 1468 of 2112 0.82 192 0.03 0.42 Step 1476 of 2112 0.82 192 0.05 0.40 Step 1484 of 2112 0.82 192 0.04 0.38 Step 1492 of 2112 0.82 192 0.04 0.40 Step 1500 of 2112 0.83 192 0.03 0.39 Step 1508 of 2112 0.83 192 0.02 0.38 Step 1516 of 2112 0.83 192 0.04 0.39 Step 1524 of 2112 0.83 192 0.03 0.37 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.03 0.40 Step 1548 of 2112 0.83 192 0.04 0.38 Step 1556 of 2112 0.83 192 0.03 0.37 Step 1564 of 2112 0.84 192 0.04 0.38 Step 1572 of 2112 0.84 192 0.04 0.39 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.04 0.43 Step 1596 of 2112 0.84 192 0.04 0.39 Step 1604 of 2112 0.84 192 0.04 0.37 Step 1612 of 2112 0.84 192 0.05 0.38 Step 1620 of 2112 0.85 192 0.04 0.38 Step 1628 of 2112 0.85 192 0.04 0.38 Step 1636 of 2112 0.85 192 0.03 0.37 Step 1644 of 2112 0.85 192 0.04 0.37 Step 1652 of 2112 0.85 192 0.03 0.37 Step 1660 of 2112 0.85 192 0.03 0.37 Step 1668 of 2112 0.85 192 0.04 0.37 Step 1676 of 2112 0.86 192 0.03 0.40 Step 1684 of 2112 0.86 192 0.04 0.40 Step 1692 of 2112 0.86 192 0.04 0.40 Step 1700 of 2112 0.86 192 0.02 0.38 Step 1708 of 2112 0.86 192 0.02 0.36 Step 1716 of 2112 0.86 192 0.02 0.36 Step 1724 of 2112 0.86 192 0.02 0.38 Step 1732 of 2112 0.87 192 0.02 0.39 Step 1740 of 2112 0.87 224 0.02 0.48 Step 1748 of 2112 0.87 224 0.03 0.49 Step 1756 of 2112 0.87 224 0.05 0.51 Step 1764 of 2112 0.87 224 0.04 0.51 Step 1772 of 2112 0.87 224 0.03 0.50 Step 1780 of 2112 0.87 224 0.03 0.49 Step 1788 of 2112 0.88 224 0.03 0.48 Step 1796 of 2112 0.88 224 0.03 0.49 Step 1804 of 2112 0.88 224 0.04 0.50 Step 1812 of 2112 0.88 224 0.04 0.51 Step 1820 of 2112 0.88 224 0.03 0.50 Step 1828 of 2112 0.88 224 0.03 0.50 Step 1836 of 2112 0.88 224 0.04 0.52 Step 1844 of 2112 0.89 224 0.05 0.52 Step 1852 of 2112 0.89 224 0.05 0.52 Step 1860 of 2112 0.89 224 0.05 0.50 Step 1868 of 2112 0.89 224 0.04 0.49 Step 1876 of 2112 0.89 224 0.04 0.54 Step 1884 of 2112 0.89 224 0.04 0.51 Step 1892 of 2112 0.89 224 0.04 0.52 Step 1900 of 2112 0.90 224 0.05 0.49 Step 1908 of 2112 0.90 224 0.04 0.50 Step 1916 of 2112 0.90 224 0.04 0.50 Step 1924 of 2112 0.90 224 0.05 0.52 Step 1932 of 2112 0.90 224 0.05 0.50 Step 1940 of 2112 0.90 224 0.05 0.49 Step 1948 of 2112 0.90 224 0.04 0.51 Step 1956 of 2112 0.91 224 0.05 0.52 Step 1964 of 2112 0.91 224 0.04 0.52 Step 1972 of 2112 0.91 224 0.04 0.49 Step 1980 of 2112 0.91 224 0.04 0.49 Step 1988 of 2112 0.91 224 0.04 0.50 Step 1996 of 2112 0.91 256 0.05 0.51 Step 2004 of 2112 0.91 256 0.05 0.50 Step 2012 of 2112 0.92 256 0.05 0.50 Step 2020 of 2112 0.92 256 0.06 0.52 Step 2028 of 2112 0.92 256 0.05 0.51 Step 2036 of 2112 0.92 256 0.05 0.50 Step 2044 of 2112 0.92 256 0.05 0.51 Step 2052 of 2112 0.92 256 0.05 0.52 Step 2060 of 2112 0.92 256 0.05 0.51 Step 2068 of 2112 0.93 256 0.05 0.53 Step 2076 of 2112 0.93 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.05 0.50 Step 2092 of 2112 0.93 256 0.05 0.51 Step 2100 of 2112 0.93 256 0.05 0.50 Step 2108 of 2112 0.93 256 0.05 0.51 ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 1 0.91 2.66 .0004 1 0.91 2.80 .0005 1 0.91 2.68 .0006 1 0.91 2.73 .0007 1 0.91 2.58 .0008 1 0.91 2.92 .0009 1 0.91 2.80 .0010 1 0.91 2.70 .0011 2 0.91 2.84 .0012 1 0.91 2.75 .0013 1 0.91 3.02 .0014 2 0.91 3.32 .0015 1 0.91 3.03 .0016 1 0.91 2.76 .0017 1 0.91 2.89 .0018 1 0.91 3.07 .0019 1 0.91 3.21 .0020 2 0.91 3.13 .0021 3 0.91 2.88 .0022 1 0.91 3.42 .0023 1 0.91 3.09 .0024 2 0.91 3.03 .0025 2 0.91 3.68 .0026 3 0.91 2.70 .0027 2 0.91 2.64 .0028 1 0.91 3.04 .0029 2 0.91 2.75 .0030 2 0.91 2.76 .0031 2 0.91 2.72 .0032 2 0.91 2.84 .0033 2 0.91 3.01 .0034 2 0.91 2.78 .0035 2 0.91 2.70 .0036 2 0.91 2.90 .0037 2 0.91 2.86 .0038 2 0.91 2.85 .0039 2 0.91 2.96 .0040 2 0.91 2.78 .0041 2 0.91 2.78 .0042 2 0.91 2.78 .0043 2 0.91 2.82 .0044 2 0.91 3.00 .0045 2 0.91 2.78 .0046 2 0.91 2.86 .0047 2 0.91 2.94 .0048 2 0.91 3.10 .0049 3 0.91 3.05 .0050 2 0.91 2.98 .0051 2 0.91 2.90 .0052 2 0.91 2.87 .0053 2 0.91 3.15 .0054 2 0.91 2.87 .0055 2 0.91 3.04 .0056 2 0.91 2.98 .0057 2 0.91 3.00 .0058 2 0.91 3.01 .0059 2 0.91 2.98 .0060 2 0.91 3.01 .0061 2 0.91 3.16 .0062 2 0.91 3.13 .0063 2 0.91 2.97 .0064 2 0.91 3.01 .0065 2 0.91 3.03 .0066 2 0.91 3.01 .0067 2 0.91 3.25 .0068 2 0.91 2.95 .0069 2 0.91 3.07 .0070 2 0.91 2.97 .0071 2 0.91 3.04 .0072 2 0.91 3.07 .0073 2 0.91 3.01 .0074 2 0.91 3.37 .0075 2 0.91 3.05 .0076 2 0.91 3.10 .0077 2 0.91 3.06 .0078 2 0.91 2.97 .0079 2 0.91 3.07 .0080 2 0.91 3.08 .0081 2 0.91 3.12 .0082 2 0.91 3.03 .0083 2 0.91 3.15 .0084 2 0.91 3.14 .0085 2 0.91 2.91 .0086 2 0.91 3.11 .0087 2 0.91 2.92 .0088 2 0.91 3.20 .0089 2 0.91 3.07 .0090 2 0.91 3.13 .0091 2 0.91 3.21 .0092 2 0.91 3.13 .0093 2 0.91 3.29 .0094 2 0.91 3.31 .0095 2 0.91 4.29 .0096 2 0.91 3.21 .0097 2 0.91 3.36 .0098 2 0.91 3.29 .0099 2 0.91 3.47 .0100 2 0.91 3.40 .0101 2 0.91 3.38 .0102 2 0.91 3.32 .0103 2 0.91 3.44 .0104 2 0.91 3.35 .0105 2 0.91 3.12 .0106 2 0.91 3.19 .0107 3 0.91 3.05 .0108 2 0.91 3.09 .0109 2 0.91 3.08 .0110 2 0.91 3.17 .0111 2 0.91 3.12 .0112 2 0.91 2.94 .0113 2 0.91 3.05 .0114 2 0.91 3.19 .0115 2 0.91 3.11 .0116 2 0.91 3.11 .0117 2 0.91 3.29 .0118 2 0.91 3.15 .0119 2 0.91 3.23 .0120 2 0.91 3.17 .0121 2 0.91 3.20 .0122 2 0.91 3.35 .0123 2 0.91 3.20 .0124 2 0.91 3.08 .0125 2 0.91 2.91 .0126 2 0.91 3.08 .0127 2 0.91 3.06 .0128 2 0.91 3.04 .0129 2 0.91 3.33 .0130 2 0.91 3.30 .0131 2 0.91 3.40 .0132 2 0.91 3.19 .0133 2 0.91 3.24 .0134 2 0.91 3.24 .0135 2 0.91 3.36 .0136 2 0.91 3.36 .0137 2 0.91 3.36 .0138 2 0.91 3.35 .0139 2 0.91 3.50 .0140 2 0.91 3.66 .0141 2 0.91 3.39 .0142 2 0.91 3.40 .0143 2 0.91 3.40 .0144 2 0.91 3.54 .0145 2 0.91 3.30 .0146 2 0.91 3.53 .0147 2 0.91 3.42 .0148 2 0.91 3.64 .0149 2 0.91 3.53 .0150 2 0.91 3.65 .0151 2 0.91 3.44 .0152 2 0.91 3.59 .0153 2 0.91 3.69 .0154 2 0.91 3.82 .0155 2 0.91 3.77 .0156 2 0.91 3.83 .0157 2 0.91 3.89 .0158 2 0.91 3.94 .0159 2 0.91 3.96 .0160 2 0.91 3.75 .0161 2 0.91 3.84 .0162 2 0.91 3.66 .0163 2 0.91 4.11 .0164 2 0.91 4.00 .0165 2 0.91 4.25 .0166 3 0.91 4.17 .0167 2 0.91 4.53 .0168 2 0.91 4.18 .0169 2 0.91 4.17 .0170 2 0.91 3.91 .0171 2 0.91 4.07 .0172 2 0.91 4.30 .0173 2 0.91 4.44 .0174 2 0.91 4.37 .0175 2 0.91 4.41 .0176 2 0.91 4.11 .0177 2 0.91 4.49 .0178 2 0.91 4.35 .0179 2 0.91 4.39 .0180 2 0.91 4.71 .0181 2 0.91 4.30 .0182 2 0.91 4.42 .0183 2 0.91 4.34 .0184 2 0.91 4.54 .0185 2 0.91 4.36 .0186 2 0.91 4.46 .0187 2 0.91 4.44 .0188 2 0.91 4.70 .0189 2 0.91 4.43 .0190 2 0.91 4.48 .0191 2 0.91 4.46 .0192 2 0.91 4.47 .0193 2 0.91 4.71 .0194 2 0.91 4.44 .0195 2 0.91 4.58 .0196 2 0.91 4.58 .0197 2 0.91 4.57 .0198 2 0.91 4.50 .0199 2 0.91 4.38 .0200 2 0.91 4.42 .0201 2 0.91 4.53 .0202 2 0.91 4.43 .0203 2 0.91 4.77 .0204 3 0.91 4.69 .0205 2 0.91 4.33 .0206 1 0.91 5.16 .0207 1 0.91 5.04 .0208 1 0.91 4.87 .0209 1 0.91 4.81 .0210 1 0.91 4.79 .0211 1 0.91 4.67 .0212 1 0.91 4.91 .0213 1 0.91 4.75 .0214 1 0.91 4.99 .0215 3 0.91 4.44 .0216 3 0.91 4.87 .0217 1 0.91 4.58 .0218 1 0.91 4.55 .0219 1 0.91 4.57 .0220 1 0.91 4.47 .0221 1 0.91 4.28 .0222 1 0.91 4.44 .0223 2 0.91 4.74 .0224 1 0.91 4.40 .0225 1 0.91 4.29 .0226 1 0.91 4.34 .0227 1 0.91 4.53 .0228 1 0.91 4.38 .0229 1 0.91 4.27 .0230 1 0.91 4.43 .0231 1 0.91 4.30 .0232 1 0.91 4.26 .0233 1 0.91 4.38 .0234 1 0.91 4.33 .0235 1 0.91 4.29 .0236 1 0.91 4.28 .0237 1 0.91 4.24 .0238 1 0.91 4.22 .0239 1 0.91 4.17 .0240 1 0.91 4.04 .0241 1 0.91 4.17 .0242 1 0.91 4.32 .0243 1 0.91 4.15 .0244 1 0.91 4.32 .0245 1 0.91 4.32 .0246 1 0.91 4.16 .0247 1 0.91 4.05 .0248 1 0.91 4.35 .0249 1 0.91 4.15 .0250 1 0.91 4.13 .0251 1 0.91 4.21 .0252 1 0.91 4.26 .0253 2 0.91 4.29 .0254 4 0.91 4.41 .0255 2 0.91 4.30 .0256 1 0.91 4.43 .0257 1 0.91 4.33 .0258 1 0.91 4.39 .0259 1 0.91 4.26 .0260 1 0.91 4.22 .0261 1 0.91 4.24 .0262 1 0.91 4.53 .0263 1 0.91 5.17 .0264 1 0.91 4.44 .0265 1 0.91 4.34 .0266 2 0.91 5.05 .0267 2 0.91 4.71 .0268 1 0.91 4.51 .0269 1 0.91 4.50 .0270 1 0.91 4.41 .0271 1 0.91 4.50 .0272 1 0.91 4.35 .0273 1 0.91 4.55 .0274 1 0.91 4.44 .0275 1 0.91 4.46 .0276 1 0.91 4.49 .0277 1 0.91 4.63 .0278 1 0.91 5.09 .0279 1 0.91 4.67 .0280 1 0.91 4.73 .0281 1 0.91 4.95 .0282 1 0.91 4.77 .0283 1 0.91 4.64 .0284 1 0.91 5.26 .0285 1 0.91 4.84 .0286 1 0.91 4.81 .0287 1 0.91 4.90 .0288 1 0.91 4.93 .0289 1 0.91 4.68 .0290 1 0.91 4.78 .0291 1 0.91 4.89 .0292 1 0.91 4.88 .0293 1 0.91 5.20 .0294 1 0.91 4.75 .0295 1 0.91 5.35 .0296 1 0.91 4.99 .0297 1 0.91 5.16 .0298 1 0.91 5.20 .0299 1 0.91 5.17 .0300 1 0.91 5.21 .0301 2 0.91 4.40 .0302 2 0.91 4.36 .0303 1 0.91 5.08 .0304 2 0.91 4.49 .0305 2 0.91 4.61 .0306 2 0.91 4.42 .0307 2 0.91 4.63 .0308 2 0.91 4.47 .0309 2 0.91 4.37 .0310 2 0.91 4.61 .0311 2 0.91 4.63 .0312 2 0.91 4.42 .0313 2 0.91 4.61 .0314 2 0.91 4.55 .0315 2 0.91 4.39 .0316 2 0.91 4.59 .0317 2 0.91 4.36 .0318 2 0.91 4.52 .0319 2 0.91 4.33 .0320 2 0.91 4.28 .0321 2 0.91 4.38 .0322 2 0.91 4.35 .0323 2 0.91 4.13 .0324 2 0.91 4.50 .0325 2 0.91 4.49 .0326 2 0.91 4.50 .0327 2 0.91 4.35 .0328 2 0.91 4.43 .0329 2 0.91 4.43 .0330 2 0.91 4.28 .0331 2 0.91 4.27 .0332 2 0.91 4.44 .0333 2 0.91 4.50 .0334 2 0.91 4.46 .0335 2 0.91 4.41 .0336 2 0.91 4.28 .0337 2 0.91 4.11 .0338 2 0.91 4.00 .0339 2 0.91 4.01 .0340 2 0.91 4.17 .0341 2 0.91 4.22 .0342 2 0.91 3.99 .0343 2 0.91 4.04 .0344 2 0.91 4.08 .0345 2 0.91 3.87 .0346 2 0.91 4.06 .0347 2 0.91 4.13 .0348 2 0.91 4.02 .0349 2 0.91 4.06 .0350 2 0.91 4.04 .0351 2 0.91 4.00 .0352 2 0.91 4.21 .0353 3 0.91 3.97 .0354 2 0.91 4.02 .0355 2 0.91 4.00 .0356 2 0.91 3.87 .0357 2 0.91 3.85 .0358 2 0.91 3.99 .0359 2 0.91 3.91 .0360 2 0.91 3.81 .0361 2 0.91 3.96 .0362 2 0.91 3.68 .0363 2 0.91 3.69 .0364 2 0.91 3.99 .0365 2 0.91 3.82 .0366 2 0.91 3.96 .0367 2 0.91 3.86 .0368 2 0.91 3.68 .0369 2 0.91 3.82 .0370 2 0.91 3.76 .0371 2 0.91 3.70 .0372 2 0.91 3.92 .0373 2 0.91 3.70 .0374 2 0.91 3.66 .0375 2 0.91 3.72 .0376 2 0.91 3.78 .0377 2 0.91 3.52 .0378 2 0.91 3.58 .0379 2 0.91 3.71 .0380 2 0.91 3.81 .0381 2 0.91 3.68 .0382 2 0.91 3.71 .0383 2 0.91 3.69 .0384 2 0.91 3.68 .0385 2 0.91 3.46 .0386 2 0.91 3.77 .0387 2 0.91 3.83 .0388 2 0.91 3.78 .0389 2 0.91 3.85 .0390 2 0.91 3.81 .0391 2 0.91 4.05 .0392 2 0.91 3.63 .0393 2 0.91 3.89 .0394 2 0.91 3.90 .0395 2 0.91 3.90 .0396 2 0.91 3.83 .0397 2 0.91 3.98 .0398 2 0.91 4.05 .0399 2 0.91 4.23 .0400 2 0.91 3.81 .0401 2 0.91 3.96 .0402 2 0.91 3.89 .0403 4 0.91 3.53 .0404 2 0.91 3.32 .0405 2 0.91 3.36 .0406 2 0.91 3.33 .0407 2 0.91 3.55 .0408 2 0.91 3.53 .0409 2 0.91 3.48 .0410 2 0.91 3.95 .0411 2 0.91 3.62 .0412 2 0.91 3.47 .0413 2 0.91 3.45 .0414 2 0.91 3.41 .0415 2 0.91 3.50 .0416 2 0.91 3.39 .0417 2 0.91 3.54 .0418 2 0.91 3.48 .0419 2 0.91 3.51 .0420 2 0.91 3.50 .0421 2 0.91 3.40 .0422 2 0.91 3.42 .0423 2 0.91 3.44 .0424 2 0.91 3.37 .0425 2 0.91 3.47 .0426 2 0.91 3.37 .0427 2 0.91 3.49 .0428 2 0.91 3.41 .0429 2 0.91 3.36 .0430 2 0.91 3.54 .0431 2 0.91 3.28 .0432 2 0.91 3.34 .0433 2 0.91 3.46 .0434 2 0.91 3.43 .0435 2 0.91 3.40 .0436 2 0.91 3.60 .0437 2 0.91 3.77 .0438 2 0.91 3.36 .0439 2 0.91 3.43 .0440 2 0.91 3.60 .0441 2 0.91 3.60 .0442 2 0.91 3.68 .0443 2 0.91 3.34 .0444 2 0.91 3.37 .0445 2 0.91 3.22 .0446 2 0.91 3.78 .0447 2 0.91 3.49 .0448 2 0.91 3.24 .0449 2 0.91 3.25 .0450 2 0.91 3.22 .0451 2 0.91 3.28 .0452 2 0.91 3.38 .0453 2 0.91 3.23 .0454 2 0.91 3.21 .0455 2 0.91 3.37 .0456 2 0.91 3.12 .0457 2 0.91 3.28 .0458 2 0.91 3.23 .0459 2 0.91 3.16 .0460 2 0.91 3.20 .0461 2 0.91 3.24 .0462 2 0.91 3.31 .0463 2 0.91 3.17 .0464 2 0.91 3.23 .0465 2 0.91 3.10 .0466 2 0.91 3.27 .0467 2 0.91 3.28 .0468 2 0.91 3.12 .0469 2 0.91 3.22 .0470 2 0.91 3.18 .0471 2 0.91 3.07 .0472 2 0.91 3.16 .0473 2 0.91 3.24 .0474 2 0.91 3.22 .0475 2 0.91 3.20 .0476 2 0.91 3.10 .0477 2 0.91 3.24 .0478 2 0.91 3.18 .0479 2 0.91 3.36 .0480 2 0.91 3.10 .0481 2 0.91 3.20 .0482 2 0.91 3.26 .0483 2 0.91 3.02 .0484 2 0.91 3.28 .0485 2 0.91 3.28 .0486 2 0.91 3.07 .0487 2 0.91 3.24 .0488 2 0.91 3.47 .0489 2 0.91 3.35 .0490 2 0.91 3.57 .0491 2 0.91 3.34 .0492 2 0.91 3.34 .0493 2 0.91 3.32 .0494 2 0.91 3.23 .0495 2 0.91 3.32 .0496 2 0.91 3.42 .0497 2 0.91 3.29 .0498 2 0.91 3.50 .0499 2 0.91 3.32 .0500 2 0.91 3.39 .0501 2 0.91 3.49 .0502 2 0.91 3.37 .0503 2 0.91 3.34 .0504 2 0.91 3.42 .0505 2 0.91 3.50 .0506 2 0.91 3.42 .0507 2 0.91 3.33 .0508 2 0.91 3.28 .0509 2 0.91 3.50 .0510 2 0.91 3.44 .0511 2 0.91 3.41 .0512 2 0.91 3.43 .0513 2 0.91 3.41 .0514 2 0.91 3.59 .0515 2 0.91 3.76 .0516 2 0.91 3.66 .0517 2 0.91 3.53 .0518 2 0.91 3.56 .0519 2 0.91 3.57 .0520 2 0.91 3.92 .0521 2 0.91 3.72 .0522 2 0.91 3.50 .0523 2 0.91 3.64 .0524 2 0.91 3.84 .0525 2 0.91 3.66 .0526 2 0.91 3.76 .0527 2 0.91 3.79 .0528 2 0.91 4.00 .0529 2 0.91 3.78 .0530 2 0.91 3.72 .0531 2 0.91 4.07 .0532 2 0.91 3.79 .0533 2 0.91 3.61 .0534 2 0.91 3.83 .0535 2 0.91 3.86 .0536 2 0.91 3.80 .0537 2 0.91 3.85 .0538 1 0.91 4.39 .0539 1 0.91 4.45 .0540 1 0.91 4.18 .0541 1 0.91 4.31 .0542 1 0.91 4.39 .0543 2 0.91 4.47 .0544 1 0.91 4.39 .0545 1 0.91 4.41 .0546 1 0.91 4.41 .0547 2 0.91 4.44 .0548 1 0.91 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4.86 .1881 1 0.95 4.71 .1882 1 0.95 4.69 .1883 1 0.95 4.54 .1884 1 0.95 5.37 .1885 1 0.95 4.80 .1886 1 0.95 4.70 .1887 1 0.95 4.57 .1888 1 0.95 4.70 .1889 1 0.95 4.62 .1890 1 0.95 4.65 .1891 1 0.95 4.77 .1892 1 0.95 4.47 .1893 1 0.95 4.89 .1894 1 0.95 4.78 .1895 1 0.95 4.76 .1896 1 0.95 4.48 .1897 1 0.95 4.54 .1898 1 0.95 4.79 .1899 1 0.95 4.58 .1900 1 0.95 4.84 .1901 2 0.95 4.60 .1902 1 0.95 4.55 .1903 1 0.95 4.71 .1904 1 0.95 4.71 .1905 1 0.95 4.67 .1906 1 0.95 4.49 .1907 1 0.95 4.64 .1908 1 0.95 4.72 .1909 1 0.95 4.56 .1910 1 0.95 4.57 .1911 1 0.95 5.82 .1912 3 0.95 4.49 .1913 1 0.95 5.01 .1914 1 0.95 4.64 .1915 1 0.95 4.74 .1916 1 0.95 4.61 .1917 1 0.95 4.44 .1918 1 0.95 4.74 .1919 1 0.95 4.76 .1920 1 0.95 4.57 .1921 1 0.95 4.74 .1922 1 0.95 5.15 .1923 1 0.95 4.67 .1924 1 0.95 4.76 .1925 1 0.95 4.85 .1926 1 0.95 4.57 .1927 1 0.95 4.66 .1928 1 0.95 4.71 .1929 1 0.95 5.37 .1930 1 0.95 4.76 .1931 1 0.95 4.73 .1932 1 0.95 4.77 .1933 1 0.95 4.96 .1934 1 0.95 4.76 .1935 1 0.95 4.79 .1936 1 0.95 4.66 .1937 1 0.95 4.61 .1938 1 0.95 4.74 .1939 1 0.95 4.61 .1940 1 0.95 4.43 .1941 1 0.95 4.71 .1942 1 0.95 4.77 .1943 1 0.95 4.59 .1944 1 0.95 4.48 .1945 1 0.95 4.48 .1946 1 0.95 4.38 .1947 1 0.95 4.51 .1948 2 0.95 4.51 .1949 1 0.95 4.46 .1950 1 0.95 4.52 .1951 1 0.95 4.47 .1952 1 0.95 4.44 .1953 1 0.95 4.31 .1954 1 0.95 4.38 .1955 1 0.95 4.59 .1956 1 0.95 4.52 .1957 1 0.95 4.51 .1958 1 0.95 4.45 .1959 1 0.95 4.38 .1960 1 0.95 4.49 .1961 1 0.95 4.53 .1962 1 0.95 4.44 .1963 1 0.95 4.59 .1964 1 0.95 4.51 .1965 2 0.95 4.67 .1966 1 0.95 4.62 .1967 1 0.95 4.43 .1968 1 0.95 4.37 .1969 1 0.95 4.38 .1970 1 0.95 4.55 .1971 1 0.95 4.56 .1972 1 0.95 4.65 .1973 2 0.95 4.49 .1974 2 0.95 4.49 .1975 1 0.95 4.51 .1976 1 0.95 4.60 .1977 1 0.95 4.38 .1978 1 0.95 4.50 .1979 1 0.95 4.66 .1980 1 0.95 4.98 .1981 1 0.95 4.57 .1982 1 0.95 4.51 .1983 1 0.95 4.60 .1984 1 0.95 4.50 .1985 1 0.95 4.50 .1986 1 0.95 5.05 .1987 1 0.95 4.32 .1988 1 0.95 4.46 .1989 1 0.95 4.36 .1990 1 0.95 4.21 .1991 1 0.95 4.40 .1992 1 0.95 4.74 .1993 1 0.95 4.12 .1994 1 0.95 4.30 .1995 1 0.95 4.19 .1996 1 0.95 4.05 .1997 1 0.95 4.14 .1998 1 0.95 4.21 .1999 1 0.95 4.06 .2000 1 0.95 4.18 .2001 1 0.95 4.15 .2002 1 0.95 4.15 .2003 1 0.95 4.11 .2004 1 0.95 4.32 .2005 1 0.95 4.33 .2006 1 0.95 4.42 .2007 1 0.95 4.36 .2008 1 0.95 4.32 .2009 2 0.95 4.40 .2010 2 0.95 4.25 .2011 1 0.95 4.37 .2012 1 0.95 4.43 .2013 1 0.95 4.28 .2014 1 0.95 4.47 .2015 1 0.95 4.51 .2016 1 0.95 4.40 .2017 1 0.95 4.46 .2018 1 0.95 4.37 .2019 1 0.95 4.52 .2020 1 0.95 4.38 .2021 1 0.95 4.53 .2022 1 0.95 4.27 .2023 1 0.95 4.42 .2024 1 0.95 4.35 .2025 1 0.95 4.26 .2026 1 0.95 4.21 .2027 1 0.95 4.31 .2028 1 0.95 4.20 .2029 1 0.95 4.14 .2030 1 0.95 4.14 .2031 1 0.95 4.06 .2032 1 0.95 3.99 .2033 1 0.95 3.98 .2034 1 0.95 3.96 .2035 1 0.95 3.90 .2036 1 0.95 4.00 .2037 1 0.95 4.02 .2038 1 0.95 3.92 .2039 1 0.95 4.04 .2040 1 0.95 4.07 .2041 1 0.95 4.24 .2042 1 0.95 4.06 .2043 1 0.95 4.17 .2044 1 0.95 4.11 .2045 1 0.95 4.15 .2046 1 0.95 4.13 .2047 1 0.95 4.19 EXTRACT_IMAGE: r2: masked 499 pixels SPCALIB: r2: First extraction chi^2 0.00000 10.6481 SPCALIB: r2: Second extraction chi^2 0.00000 9.82372 SUPERFLAT: r2: Creating superflat from 306 fibers highest breakpoint does not cover highest x value, changing .0000highest breakpoint does not cover highest x value, changing .0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202.0203.0204.0205.0206.0207.0208.0209.0210.0211.0212.0213.0214.0215.0216.0217.0218.0219.0220.0221.0222.0223.0224.0225.0226.0227.0228.0229.0230.0231.0232.0233.0234.0235.0236.0237.0238.0239.0240.0241.0242.0243.0244.0245.0246.0247.0248.0249.0250.0251.0252.0253.0254.0255.0256.0257.0258.0259.0260.0261.0262.0263.0264.0265.0266.0267.0268.0269.0270.0271.0272.0273.0274.0275.0276.0277.0278.0279.0280.0281.0282.0283.0284.0285.0286.0287.0288.0289.0290.0291.0292.0293.0294.0295.0296.0297.0298.0299.0300.0301.0302.0303.0304.0305.0306.0307.0308.0309.0310.0311.0312.0313.0314.0315.0316.0317.0318.0319 FIBERFLAT: r2: Number of fiberflat points LE 0 = 13107 SPCALIB: r2: Elapsed time = 522. seconds SPREDUCE: r2: Best flat = sdR-r2-00034756.fit SPREDUCE: r2: Best arc = sdR-r2-00034757.fit QAPLOT_ARCLINE: r2: Number of arc lines: 34 QAPLOT_ARCLINE: r2: Number of arc lines above 8000 Ang: 10 QAPLOT_ARCLINE: r2: Arcline 0: lambda= 5881.90 Ang, median dev= -0.002 pix, sigma dev= 0.012 pix QAPLOT_ARCLINE: r2: Arcline 1: lambda= 5944.83 Ang, median dev= -0.002 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r2: Arcline 2: lambda= 6030.00 Ang, median dev= 0.009 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r2: Arcline 3: lambda= 6074.34 Ang, median dev= -0.002 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 4: lambda= 6096.16 Ang, median dev= -0.003 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 5: lambda= 6143.06 Ang, median dev= -0.009 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 6: lambda= 6163.59 Ang, median dev= 0.006 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r2: Arcline 7: lambda= 6217.28 Ang, median dev= 0.006 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 8: lambda= 6266.49 Ang, median dev= 0.004 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 9: lambda= 6304.79 Ang, median dev= 0.011 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 10: lambda= 6334.43 Ang, median dev= -0.003 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 11: lambda= 6382.99 Ang, median dev= 0.004 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 12: lambda= 6402.25 Ang, median dev= -0.014 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r2: Arcline 13: lambda= 6506.53 Ang, median dev= -0.000 pix, sigma dev= 0.009 pix QAPLOT_ARCLINE: r2: Arcline 14: lambda= 6532.88 Ang, median dev= 0.007 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r2: Arcline 15: lambda= 6598.95 Ang, median dev= 0.004 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r2: Arcline 16: lambda= 6717.04 Ang, median dev= -0.001 pix, sigma dev= 0.007 pix QAPLOT_ARCLINE: r2: Arcline 17: lambda= 6929.47 Ang, median dev= -0.006 pix, sigma dev= 0.008 pix QAPLOT_ARCLINE: r2: Arcline 18: lambda= 7173.94 Ang, median dev= 0.003 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r2: Arcline 19: lambda= 7245.17 Ang, median dev= -0.012 pix, sigma dev= 0.010 pix QAPLOT_ARCLINE: r2: Arcline 20: lambda= 7438.90 Ang, median dev= -0.001 pix, sigma dev= 0.011 pix QAPLOT_ARCLINE: r2: Arcline 21: lambda= 7488.87 Ang, median dev= 0.006 pix, sigma dev= 0.017 pix QAPLOT_ARCLINE: r2: Arcline 22: lambda= 7535.77 Ang, median dev= 0.017 pix, sigma dev= 0.020 pix QAPLOT_ARCLINE: r2: Arcline 23: lambda= 7635.11 Ang, median dev= 0.021 pix, sigma dev= 0.034 pix QAPLOT_ARCLINE: r2: Arcline 24: lambda= 8014.79 Ang, median dev= 0.014 pix, sigma dev= 0.084 pix QAPLOT_ARCLINE: r2: Arcline 25: lambda= 8103.69 Ang, median dev= 0.011 pix, sigma dev= 0.065 pix QAPLOT_ARCLINE: r2: Arcline 26: lambda= 8300.33 Ang, median dev= 0.034 pix, sigma dev= 0.024 pix QAPLOT_ARCLINE: r2: Arcline 27: lambda= 8377.61 Ang, median dev= -0.030 pix, sigma dev= 0.014 pix QAPLOT_ARCLINE: r2: Arcline 28: lambda= 8495.36 Ang, median dev= -0.007 pix, sigma dev= 0.015 pix QAPLOT_ARCLINE: r2: Arcline 29: lambda= 8591.26 Ang, median dev= -0.005 pix, sigma dev= 0.025 pix QAPLOT_ARCLINE: r2: Arcline 30: lambda= 8634.65 Ang, median dev= -0.002 pix, sigma dev= 0.029 pix QAPLOT_ARCLINE: r2: Arcline 31: lambda= 8654.38 Ang, median dev= 0.028 pix, sigma dev= 0.021 pix QAPLOT_ARCLINE: r2: Arcline 32: lambda= 8853.87 Ang, median dev= -0.006 pix, sigma dev= 0.039 pix QAPLOT_ARCLINE: r2: Arcline 33: lambda= 9122.97 Ang, median dev= 0.004 pix, sigma dev= 0.101 pix SPREDUCE: sdR-r2-00034752.fit: Reading object sdR-r2-00034752.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034752.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034752.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034752.fit: Measured read-noise in DN for amp# 2 = 4.52723 SDSSPROC: sdR-r2-00034752.fit: Measured bias value in DN for amp# 2 = 470.296 SDSSPROC: sdR-r2-00034752.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034752.fit: Amp #2 Number of pix below bias-5*sigma= 449. DN is 0 SDSSPROC: sdR-r2-00034752.fit: Measured read-noise in DN for amp# 3 = 3.72518 SDSSPROC: sdR-r2-00034752.fit: Measured bias value in DN for amp# 3 = 1318.25 SDSSPROC: sdR-r2-00034752.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034752.fit: Amp #3 Number of pix below bias-5*sigma= 1298. DN is 0 SDSSPROC: sdR-r2-00034752.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034752.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034752.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034752.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034752.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034752.fit: Science 25-th-percentile = 205.313 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202 EXTRACT_OBJECT: sdR-r2-00034752.fit: Whopping fibers: 157 316 EXTRACT_OBJECT: sdR-r2-00034752.fit: Median counts in all fibers = 3437.35 EXTRACT_OBJECT: sdR-r2-00034752.fit: Number of bright fibers = 2 EXTRACT_OBJECT: sdR-r2-00034752.fit: Sky fiber median 528.469 EXTRACT_OBJECT: sdR-r2-00034752.fit: 5% and 95% count levels 505.213 8687.99 MATCH_TRACE: sdR-r2-00034752.fit: Iteration: 0 Pixels Rejected: 10151 Finished? 0 MATCH_TRACE: sdR-r2-00034752.fit: Iteration: 1 Pixels Rejected: 108 Finished? 0 MATCH_TRACE: sdR-r2-00034752.fit: Iteration: 2 Pixels Rejected: 15 Finished? 0 MATCH_TRACE: sdR-r2-00034752.fit: Iteration: 3 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: sdR-r2-00034752.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r2-00034752.fit: Shifting traces by match_trace -0.0183105 EXTRACT_OBJECT: sdR-r2-00034752.fit: Extracting frame sdR-r2-00034752.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034752.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 1 0.91 1.97 .0004 1 0.91 2.06 .0005 1 0.91 1.90 .0006 2 0.91 1.92 .0007 1 0.91 1.87 .0008 1 0.91 1.89 .0009 1 0.91 1.90 .0010 3 0.91 2.05 .0011 2 0.91 1.96 .0012 1 0.91 1.98 .0013 2 0.91 2.05 .0014 1 0.91 2.10 .0015 2 0.91 2.19 .0016 1 0.91 2.19 .0017 1 0.91 2.09 .0018 1 0.91 2.05 .0019 1 0.91 2.12 .0020 3 0.91 2.22 .0021 2 0.91 2.17 .0022 1 0.91 2.07 .0023 1 0.91 2.27 .0024 2 0.91 2.17 .0025 3 0.91 2.32 .0026 1 0.91 2.12 .0027 2 0.91 2.27 .0028 2 0.91 2.17 .0029 1 0.91 2.11 .0030 1 0.91 2.28 .0031 1 0.91 2.32 .0032 1 0.91 2.33 .0033 3 0.91 2.34 .0034 1 0.91 2.30 .0035 2 0.91 2.26 .0036 1 0.91 2.37 .0037 2 0.91 2.45 .0038 1 0.91 2.30 .0039 1 0.91 2.29 .0040 1 0.91 2.39 .0041 3 0.91 2.30 .0042 2 0.91 2.42 .0043 1 0.91 2.52 .0044 2 0.91 2.46 .0045 1 0.91 2.39 .0046 1 0.91 2.45 .0047 1 0.91 2.32 .0048 2 0.91 2.20 .0049 2 0.91 2.27 .0050 2 0.91 2.20 .0051 2 0.91 2.33 .0052 2 0.91 2.17 .0053 4 0.91 2.22 .0054 3 0.91 2.61 .0055 2 0.91 2.27 .0056 2 0.91 2.17 .0057 2 0.91 2.21 .0058 2 0.91 2.21 .0059 2 0.91 2.49 .0060 2 0.91 2.23 .0061 2 0.91 2.21 .0062 2 0.91 2.34 .0063 2 0.91 2.35 .0064 2 0.91 2.39 .0065 3 0.91 2.58 .0066 2 0.91 2.79 .0067 3 0.91 2.56 .0068 2 0.91 2.65 .0069 2 0.91 2.51 .0070 2 0.91 2.42 .0071 2 0.91 2.44 .0072 2 0.91 2.38 .0073 2 0.91 2.55 .0074 2 0.91 2.44 .0075 2 0.91 2.47 .0076 3 0.91 2.55 .0077 2 0.91 2.81 .0078 2 0.91 2.59 .0079 2 0.91 2.64 .0080 2 0.91 2.54 .0081 2 0.91 2.66 .0082 3 0.91 2.61 .0083 2 0.91 2.57 .0084 2 0.91 2.53 .0085 2 0.91 2.53 .0086 2 0.91 2.57 .0087 2 0.91 2.76 .0088 3 0.91 2.55 .0089 2 0.91 2.58 .0090 2 0.91 2.45 .0091 2 0.91 2.53 .0092 2 0.91 2.48 .0093 2 0.91 2.44 .0094 2 0.91 2.45 .0095 2 0.91 2.58 .0096 2 0.91 2.53 .0097 2 0.91 2.61 .0098 3 0.91 2.58 .0099 3 0.91 2.76 .0100 2 0.91 2.82 .0101 2 0.91 2.70 .0102 2 0.91 2.47 .0103 2 0.91 2.90 .0104 3 0.91 2.74 .0105 2 0.91 2.65 .0106 3 0.91 2.43 .0107 2 0.91 2.49 .0108 2 0.91 2.71 .0109 3 0.91 2.56 .0110 2 0.91 2.85 .0111 3 0.91 2.45 .0112 3 0.91 2.64 .0113 3 0.91 2.61 .0114 3 0.91 2.76 .0115 3 0.91 2.46 .0116 3 0.91 2.58 .0117 3 0.91 2.66 .0118 3 0.91 2.51 .0119 3 0.91 2.61 .0120 3 0.91 2.59 .0121 2 0.91 2.45 .0122 2 0.91 2.62 .0123 2 0.91 2.48 .0124 2 0.91 2.60 .0125 2 0.91 2.63 .0126 2 0.91 2.56 .0127 2 0.91 2.57 .0128 2 0.91 2.56 .0129 3 0.91 2.56 .0130 2 0.91 2.55 .0131 2 0.91 2.45 .0132 2 0.91 2.71 .0133 2 0.91 2.46 .0134 2 0.91 2.45 .0135 2 0.91 2.51 .0136 2 0.91 2.55 .0137 2 0.91 2.67 .0138 3 0.91 2.53 .0139 2 0.91 2.74 .0140 2 0.91 2.67 .0141 2 0.91 2.63 .0142 3 0.91 2.69 .0143 2 0.91 2.98 .0144 3 0.91 2.77 .0145 3 0.91 2.69 .0146 2 0.91 2.82 .0147 2 0.91 2.84 .0148 2 0.91 2.87 .0149 2 0.91 2.60 .0150 2 0.91 2.76 .0151 3 0.91 2.83 .0152 2 0.91 2.95 .0153 3 0.91 2.91 .0154 2 0.91 2.82 .0155 2 0.91 2.63 .0156 2 0.91 2.98 .0157 2 0.91 2.90 .0158 2 0.91 2.89 .0159 2 0.91 3.03 .0160 2 0.91 3.15 .0161 3 0.91 2.96 .0162 3 0.91 2.91 .0163 3 0.91 2.92 .0164 2 0.91 3.07 .0165 2 0.91 3.02 .0166 2 0.91 3.11 .0167 3 0.91 3.01 .0168 2 0.91 3.31 .0169 2 0.91 3.13 .0170 2 0.91 3.03 .0171 2 0.91 3.08 .0172 2 0.91 3.15 .0173 2 0.91 3.43 .0174 2 0.91 3.26 .0175 3 0.91 3.40 .0176 3 0.91 3.20 .0177 2 0.91 3.25 .0178 2 0.91 3.34 .0179 2 0.91 3.14 .0180 2 0.91 3.15 .0181 2 0.91 3.85 .0182 3 0.91 3.36 .0183 3 0.91 3.81 .0184 4 0.91 3.74 .0185 2 0.91 3.57 .0186 2 0.91 3.39 .0187 2 0.91 3.62 .0188 3 0.91 3.52 .0189 4 0.91 3.62 .0190 2 0.91 3.58 .0191 2 0.91 3.52 .0192 2 0.91 3.59 .0193 2 0.91 3.77 .0194 1 0.91 3.86 .0195 2 0.91 3.61 .0196 2 0.91 3.86 .0197 2 0.91 3.94 .0198 2 0.91 3.87 .0199 1 0.91 3.74 .0200 4 0.91 3.75 .0201 3 0.91 3.75 .0202 2 0.91 3.84 .0203 1 0.91 4.01 .0204 2 0.91 3.88 .0205 1 0.91 3.97 .0206 1 0.91 3.85 .0207 1 0.91 3.76 .0208 1 0.91 3.89 .0209 1 0.91 3.62 .0210 1 0.91 3.64 .0211 1 0.91 3.79 .0212 1 0.91 3.76 .0213 1 0.91 3.59 .0214 3 0.91 3.90 .0215 3 0.91 3.50 .0216 3 0.91 3.76 .0217 1 0.91 3.55 .0218 1 0.91 3.95 .0219 2 0.91 3.56 .0220 2 0.91 3.67 .0221 4 0.91 3.49 .0222 2 0.91 3.58 .0223 1 0.91 3.24 .0224 2 0.91 3.54 .0225 3 0.91 3.63 .0226 1 0.91 3.58 .0227 3 0.91 3.43 .0228 2 0.91 3.44 .0229 1 0.91 3.46 .0230 2 0.91 3.55 .0231 1 0.91 3.49 .0232 1 0.91 3.50 .0233 1 0.91 3.35 .0234 1 0.91 3.64 .0235 1 0.91 3.46 .0236 1 0.91 3.52 .0237 2 0.91 3.59 .0238 1 0.91 3.40 .0239 1 0.91 3.41 .0240 1 0.91 3.55 .0241 2 0.91 3.79 .0242 2 0.91 3.46 .0243 1 0.91 3.64 .0244 2 0.91 3.29 .0245 2 0.91 3.47 .0246 2 0.91 3.53 .0247 2 0.91 3.43 .0248 2 0.91 3.69 .0249 2 0.91 3.56 .0250 2 0.91 3.78 .0251 2 0.91 3.66 .0252 2 0.91 3.70 .0253 2 0.91 3.66 .0254 1 0.91 3.67 .0255 2 0.91 3.66 .0256 2 0.91 3.54 .0257 1 0.91 3.44 .0258 1 0.91 3.66 .0259 1 0.91 3.76 .0260 2 0.91 3.87 .0261 1 0.91 3.77 .0262 2 0.91 3.56 .0263 2 0.91 3.40 .0264 1 0.91 3.65 .0265 1 0.91 3.72 .0266 1 0.91 3.40 .0267 1 0.91 3.66 .0268 1 0.91 3.62 .0269 1 0.91 3.69 .0270 1 0.91 3.51 .0271 2 0.91 3.64 .0272 2 0.91 3.71 .0273 1 0.91 4.02 .0274 1 0.91 3.86 .0275 1 0.91 3.79 .0276 1 0.91 3.87 .0277 2 0.91 3.96 .0278 2 0.91 3.94 .0279 3 0.91 3.89 .0280 3 0.91 3.92 .0281 1 0.91 3.76 .0282 3 0.91 3.64 .0283 3 0.91 3.98 .0284 3 0.91 3.82 .0285 1 0.91 4.14 .0286 2 0.91 3.99 .0287 3 0.91 4.60 .0288 1 0.91 4.26 .0289 2 0.91 3.98 .0290 2 0.91 4.07 .0291 3 0.91 4.06 .0292 4 0.91 4.24 .0293 2 0.91 4.04 .0294 2 0.91 4.00 .0295 1 0.91 4.16 .0296 1 0.91 4.13 .0297 1 0.91 3.98 .0298 1 0.91 4.12 .0299 1 0.91 4.22 .0300 1 0.91 4.08 .0301 1 0.91 4.39 .0302 1 0.91 4.17 .0303 1 0.91 4.35 .0304 2 0.91 4.26 .0305 1 0.91 4.37 .0306 1 0.91 4.23 .0307 1 0.91 4.32 .0308 1 0.91 4.32 .0309 1 0.91 4.17 .0310 1 0.91 4.16 .0311 2 0.91 4.38 .0312 1 0.91 4.30 .0313 2 0.91 4.51 .0314 1 0.91 4.13 .0315 1 0.91 4.53 .0316 3 0.91 4.35 .0317 3 0.91 4.32 .0318 3 0.91 4.30 .0319 1 0.91 4.41 .0320 1 0.91 4.36 .0321 1 0.91 4.53 .0322 1 0.91 4.29 .0323 1 0.91 4.27 .0324 1 0.91 4.51 .0325 1 0.91 4.50 .0326 1 0.91 4.98 .0327 3 0.91 4.31 .0328 1 0.91 4.34 .0329 2 0.91 4.35 .0330 1 0.91 4.47 .0331 2 0.91 3.99 .0332 2 0.91 4.18 .0333 2 0.91 4.27 .0334 2 0.91 4.30 .0335 3 0.91 4.08 .0336 3 0.91 4.25 .0337 2 0.91 4.29 .0338 3 0.91 4.28 .0339 2 0.91 4.50 .0340 2 0.91 4.11 .0341 2 0.91 4.55 .0342 2 0.91 4.14 .0343 2 0.91 4.75 .0344 2 0.91 4.11 .0345 2 0.91 4.11 .0346 2 0.91 4.15 .0347 2 0.91 4.13 .0348 2 0.91 4.18 .0349 2 0.91 4.08 .0350 2 0.91 4.31 .0351 3 0.91 4.27 .0352 3 0.91 4.37 .0353 2 0.91 4.27 .0354 2 0.91 3.94 .0355 2 0.91 4.01 .0356 2 0.91 4.11 .0357 2 0.91 4.15 .0358 3 0.91 4.01 .0359 2 0.91 4.10 .0360 2 0.91 4.11 .0361 2 0.91 4.08 .0362 2 0.91 4.10 .0363 2 0.91 4.23 .0364 2 0.91 4.00 .0365 2 0.91 4.08 .0366 2 0.91 4.12 .0367 2 0.91 4.25 .0368 2 0.91 4.00 .0369 2 0.91 4.13 .0370 2 0.91 4.13 .0371 2 0.91 4.10 .0372 2 0.91 4.14 .0373 2 0.91 4.19 .0374 2 0.91 4.14 .0375 2 0.91 4.18 .0376 2 0.91 4.47 .0377 2 0.91 4.34 .0378 2 0.91 4.31 .0379 2 0.91 4.21 .0380 2 0.91 4.21 .0381 2 0.91 4.24 .0382 2 0.91 4.31 .0383 2 0.91 4.30 .0384 2 0.91 4.48 .0385 2 0.91 4.23 .0386 2 0.91 4.28 .0387 2 0.91 4.03 .0388 2 0.91 4.14 .0389 2 0.91 4.17 .0390 2 0.91 4.17 .0391 3 0.91 4.25 .0392 2 0.91 4.60 .0393 2 0.91 4.18 .0394 2 0.91 4.37 .0395 2 0.91 4.50 .0396 2 0.91 4.24 .0397 2 0.91 4.30 .0398 2 0.91 4.33 .0399 3 0.91 4.58 .0400 3 0.91 4.52 .0401 3 0.91 4.40 .0402 2 0.91 4.35 .0403 3 0.91 4.20 .0404 3 0.91 4.28 .0405 3 0.91 4.31 .0406 3 0.91 4.34 .0407 4 0.91 4.37 .0408 3 0.91 3.99 .0409 3 0.91 4.04 .0410 3 0.91 4.11 .0411 3 0.91 4.17 .0412 3 0.91 4.17 .0413 3 0.91 4.26 .0414 3 0.91 4.12 .0415 4 0.91 4.26 .0416 4 0.91 4.13 .0417 4 0.91 4.34 .0418 3 0.91 4.01 .0419 3 0.91 4.08 .0420 3 0.91 3.84 .0421 3 0.91 4.06 .0422 3 0.91 3.97 .0423 3 0.91 3.98 .0424 3 0.91 4.26 .0425 2 0.91 4.09 .0426 2 0.91 4.11 .0427 2 0.91 3.99 .0428 2 0.91 4.00 .0429 2 0.91 3.87 .0430 2 0.91 3.88 .0431 2 0.91 4.08 .0432 2 0.91 3.85 .0433 2 0.91 3.99 .0434 2 0.91 4.27 .0435 2 0.91 4.05 .0436 2 0.91 4.00 .0437 2 0.91 4.05 .0438 2 0.91 4.01 .0439 2 0.91 3.87 .0440 2 0.91 4.14 .0441 2 0.91 3.98 .0442 2 0.91 3.77 .0443 2 0.91 4.02 .0444 2 0.91 3.99 .0445 2 0.91 3.91 .0446 2 0.91 4.13 .0447 2 0.91 4.05 .0448 2 0.91 4.16 .0449 2 0.91 3.95 .0450 2 0.91 3.94 .0451 2 0.91 3.97 .0452 2 0.91 4.03 .0453 2 0.91 4.10 .0454 2 0.91 3.99 .0455 2 0.91 3.89 .0456 3 0.91 3.90 .0457 2 0.91 4.31 .0458 2 0.91 3.88 .0459 2 0.91 3.73 .0460 2 0.91 3.82 .0461 2 0.91 3.86 .0462 2 0.91 3.81 .0463 2 0.91 3.99 .0464 2 0.91 3.82 .0465 3 0.91 3.97 .0466 2 0.91 4.02 .0467 2 0.91 3.77 .0468 2 0.91 3.88 .0469 3 0.91 3.75 .0470 2 0.91 3.82 .0471 3 0.91 3.87 .0472 2 0.91 3.71 .0473 2 0.91 3.71 .0474 2 0.91 3.58 .0475 2 0.91 3.73 .0476 3 0.91 3.83 .0477 2 0.91 3.80 .0478 2 0.91 3.62 .0479 2 0.91 3.55 .0480 2 0.91 3.66 .0481 2 0.91 3.70 .0482 2 0.91 3.64 .0483 2 0.91 3.51 .0484 2 0.91 3.47 .0485 2 0.91 3.30 .0486 2 0.91 3.35 .0487 2 0.91 3.53 .0488 3 0.91 3.54 .0489 3 0.91 3.38 .0490 3 0.91 3.56 .0491 2 0.91 3.44 .0492 2 0.91 3.54 .0493 2 0.91 3.68 .0494 2 0.91 3.44 .0495 2 0.91 3.41 .0496 2 0.91 3.45 .0497 2 0.91 3.34 .0498 2 0.91 3.48 .0499 2 0.91 3.60 .0500 5 0.91 3.79 .0501 2 0.91 3.65 .0502 2 0.91 3.93 .0503 2 0.91 3.95 .0504 2 0.91 3.86 .0505 3 0.91 3.95 .0506 3 0.91 3.79 .0507 3 0.91 4.05 .0508 3 0.91 3.98 .0509 4 0.91 4.06 .0510 3 0.91 4.15 .0511 3 0.91 4.10 .0512 3 0.91 4.58 .0513 4 0.91 4.15 .0514 2 0.91 4.43 .0515 2 0.91 4.06 .0516 2 0.91 3.86 .0517 1 0.91 4.26 .0518 1 0.91 4.45 .0519 2 0.91 4.31 .0520 2 0.91 4.29 .0521 1 0.91 4.61 .0522 1 0.91 4.17 .0523 1 0.91 4.38 .0524 1 0.91 4.08 .0525 1 0.91 4.32 .0526 1 0.91 4.14 .0527 1 0.91 4.25 .0528 1 0.91 4.32 .0529 2 0.91 4.22 .0530 2 0.91 4.45 .0531 1 0.91 4.27 .0532 1 0.91 4.28 .0533 1 0.91 4.29 .0534 2 0.91 4.27 .0535 3 0.91 4.43 .0536 3 0.91 4.16 .0537 2 0.91 4.44 .0538 1 0.91 4.38 .0539 1 0.91 4.08 .0540 3 0.91 4.47 .0541 2 0.91 4.56 .0542 2 0.91 4.59 .0543 1 0.91 4.54 .0544 1 0.91 4.55 .0545 2 0.91 4.26 .0546 2 0.91 4.36 .0547 3 0.91 4.49 .0548 2 0.91 4.48 .0549 1 0.91 4.30 .0550 1 0.91 4.53 .0551 2 0.91 4.30 .0552 2 0.91 4.51 .0553 2 0.91 4.37 .0554 2 0.91 4.43 .0555 1 0.91 4.16 .0556 1 0.91 4.70 .0557 3 0.91 4.62 .0558 2 0.91 4.38 .0559 2 0.91 4.50 .0560 1 0.91 4.64 .0561 4 0.91 4.99 .0562 2 0.91 4.39 .0563 1 0.91 4.27 .0564 2 0.91 4.25 .0565 2 0.91 4.33 .0566 3 0.91 4.30 .0567 3 0.91 4.57 .0568 1 0.91 4.25 .0569 1 0.91 4.33 .0570 1 0.91 4.25 .0571 1 0.91 4.29 .0572 1 0.91 4.24 .0573 1 0.91 4.27 .0574 1 0.91 4.19 .0575 1 0.91 4.36 .0576 1 0.91 4.27 .0577 1 0.91 4.14 .0578 1 0.91 4.40 .0579 1 0.91 4.45 .0580 2 0.91 4.24 .0581 1 0.91 4.51 .0582 3 0.91 4.36 .0583 2 0.91 4.49 .0584 1 0.91 4.57 .0585 2 0.91 4.47 .0586 1 0.91 4.53 .0587 1 0.91 4.33 .0588 3 0.91 4.22 .0589 1 0.90 4.18 .0590 2 0.90 4.36 .0591 1 0.90 4.22 .0592 1 0.90 4.29 .0593 1 0.90 3.88 .0594 1 0.90 4.42 .0595 2 0.90 4.31 .0596 1 0.90 4.41 .0597 3 0.90 4.24 .0598 1 0.90 4.15 .0599 1 0.90 4.33 .0600 1 0.90 4.07 .0601 1 0.90 4.32 .0602 1 0.90 4.19 .0603 2 0.90 4.21 .0604 1 0.90 4.34 .0605 1 0.90 4.18 .0606 1 0.90 4.42 .0607 1 0.90 4.14 .0608 2 0.90 4.20 .0609 2 0.90 4.37 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.1942 1 0.95 2.28 .1943 1 0.95 2.14 .1944 3 0.95 2.08 .1945 1 0.95 2.08 .1946 1 0.95 2.28 .1947 1 0.95 2.13 .1948 3 0.95 2.13 .1949 2 0.95 2.15 .1950 1 0.95 2.19 .1951 1 0.95 2.06 .1952 1 0.95 2.14 .1953 1 0.95 2.17 .1954 1 0.95 2.08 .1955 1 0.95 2.07 .1956 2 0.95 2.13 .1957 2 0.95 2.28 .1958 1 0.95 1.98 .1959 2 0.95 2.04 .1960 1 0.95 2.06 .1961 4 0.95 2.19 .1962 3 0.95 2.13 .1963 3 0.95 2.15 .1964 1 0.95 1.94 .1965 2 0.95 2.09 .1966 3 0.95 2.05 .1967 2 0.95 2.15 .1968 1 0.95 2.11 .1969 1 0.95 2.26 .1970 1 0.95 2.13 .1971 1 0.95 2.08 .1972 1 0.95 2.00 .1973 1 0.95 2.01 .1974 1 0.95 2.08 .1975 1 0.95 2.10 .1976 2 0.95 1.98 .1977 1 0.95 2.31 .1978 2 0.95 2.12 .1979 3 0.95 1.99 .1980 2 0.95 2.00 .1981 1 0.95 2.05 .1982 1 0.95 2.01 .1983 1 0.95 2.11 .1984 1 0.95 2.05 .1985 1 0.95 1.96 .1986 2 0.95 2.07 .1987 2 0.95 2.25 .1988 3 0.95 2.17 .1989 1 0.95 2.07 .1990 1 0.95 1.95 .1991 1 0.95 1.91 .1992 1 0.95 1.93 .1993 1 0.95 2.10 .1994 1 0.95 1.93 .1995 1 0.95 2.04 .1996 3 0.95 1.92 .1997 2 0.95 2.17 .1998 1 0.95 1.96 .1999 3 0.95 1.91 .2000 2 0.95 2.06 .2001 3 0.95 2.17 .2002 2 0.95 2.08 .2003 2 0.95 2.09 .2004 2 0.95 2.07 .2005 1 0.95 2.04 .2006 1 0.95 2.05 .2007 3 0.95 2.03 .2008 3 0.95 1.98 .2009 1 0.95 1.95 .2010 1 0.95 2.00 .2011 1 0.95 1.90 .2012 1 0.95 1.99 .2013 1 0.95 1.91 .2014 1 0.95 1.92 .2015 2 0.95 1.95 .2016 2 0.95 2.02 .2017 1 0.95 2.03 .2018 2 0.95 1.98 .2019 2 0.95 1.97 .2020 2 0.95 2.05 .2021 1 0.95 2.23 .2022 3 0.95 2.14 .2023 2 0.95 1.88 .2024 1 0.95 2.03 .2025 2 0.95 1.90 .2026 3 0.95 2.12 .2027 1 0.95 2.06 .2028 2 0.95 1.94 .2029 2 0.95 2.04 .2030 1 0.95 1.89 .2031 1 0.95 1.86 .2032 4 0.95 1.99 .2033 1 0.95 1.80 .2034 1 0.95 1.84 .2035 1 0.95 2.05 .2036 1 0.95 1.87 .2037 1 0.95 1.80 .2038 1 0.95 1.92 .2039 1 0.95 1.92 .2040 2 0.95 1.86 .2041 2 0.95 1.93 .2042 2 0.95 1.96 .2043 2 0.95 1.86 .2044 3 0.95 1.82 .2045 1 0.95 1.92 .2046 2 0.95 1.91 .2047 3 0.95 1.78 EXTRACT_IMAGE: sdR-r2-00034752.fit: masked 1833 pixels EXTRACT_OBJECT: sdR-r2-00034752.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034752.fit: WARNING: Scattered light median = 60.0509 electrons QAPLOT_SCATLIGHT: sdR-r2-00034752.fit: WARNING: Scattered light max = 121.981 electrons EXTRACT_OBJECT: sdR-r2-00034752.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034752.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034752.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034752.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.01 0.14 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.16 Step 28 of 2112 0.59 96 0.02 0.16 Step 36 of 2112 0.59 96 0.02 0.16 Step 44 of 2112 0.59 96 0.02 0.16 Step 52 of 2112 0.59 96 0.02 0.16 Step 60 of 2112 0.59 96 0.02 0.16 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.16 Step 84 of 2112 0.59 96 0.02 0.16 Step 92 of 2112 0.59 96 0.02 0.16 Step 100 of 2112 0.60 96 0.02 0.16 Step 108 of 2112 0.60 96 0.01 0.15 Step 116 of 2112 0.60 96 0.02 0.16 Step 124 of 2112 0.60 96 0.02 0.14 Step 132 of 2112 0.60 96 0.02 0.15 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.16 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.61 96 0.02 0.16 Step 172 of 2112 0.61 96 0.02 0.16 Step 180 of 2112 0.61 96 0.02 0.16 Step 188 of 2112 0.61 96 0.02 0.17 Step 196 of 2112 0.61 96 0.02 0.17 Step 204 of 2112 0.61 96 0.02 0.16 Step 212 of 2112 0.61 96 0.02 0.16 Step 220 of 2112 0.61 96 0.02 0.16 Step 228 of 2112 0.62 96 0.02 0.15 Step 236 of 2112 0.62 96 0.02 0.15 Step 244 of 2112 0.62 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.14 Step 276 of 2112 0.62 96 0.02 0.17 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.63 96 0.02 0.16 Step 300 of 2112 0.63 96 0.02 0.16 Step 308 of 2112 0.63 96 0.02 0.16 Step 316 of 2112 0.63 96 0.02 0.16 Step 324 of 2112 0.63 96 0.02 0.16 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.64 96 0.02 0.17 Step 372 of 2112 0.64 96 0.02 0.15 Step 380 of 2112 0.64 96 0.02 0.16 Step 388 of 2112 0.64 96 0.02 0.15 Step 396 of 2112 0.64 96 0.02 0.14 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.16 Step 420 of 2112 0.64 96 0.01 0.17 Step 428 of 2112 0.65 96 0.02 0.15 Step 436 of 2112 0.65 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.16 Step 484 of 2112 0.65 96 0.03 0.18 Step 492 of 2112 0.66 96 0.02 0.16 Step 500 of 2112 0.66 96 0.02 0.17 Step 508 of 2112 0.66 96 0.02 0.16 Step 516 of 2112 0.66 96 0.02 0.15 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.02 0.15 Step 540 of 2112 0.66 96 0.02 0.14 Step 548 of 2112 0.67 96 0.02 0.15 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.15 Step 572 of 2112 0.67 96 0.03 0.15 Step 580 of 2112 0.67 96 0.03 0.16 Step 588 of 2112 0.67 96 0.02 0.16 Step 596 of 2112 0.67 96 0.02 0.16 Step 604 of 2112 0.67 96 0.02 0.15 Step 612 of 2112 0.68 96 0.02 0.14 Step 620 of 2112 0.68 96 0.02 0.17 Step 628 of 2112 0.68 96 0.02 0.15 Step 636 of 2112 0.68 96 0.02 0.15 Step 644 of 2112 0.68 128 0.02 0.22 Step 652 of 2112 0.68 128 0.02 0.21 Step 660 of 2112 0.68 128 0.02 0.21 Step 668 of 2112 0.68 128 0.02 0.22 Step 676 of 2112 0.69 128 0.03 0.23 Step 684 of 2112 0.69 128 0.03 0.24 Step 692 of 2112 0.69 128 0.02 0.22 Step 700 of 2112 0.69 128 0.02 0.24 Step 708 of 2112 0.69 128 0.02 0.22 Step 716 of 2112 0.69 128 0.03 0.25 Step 724 of 2112 0.69 128 0.04 0.25 Step 732 of 2112 0.69 128 0.04 0.24 Step 740 of 2112 0.70 128 0.03 0.23 Step 748 of 2112 0.70 128 0.02 0.22 Step 756 of 2112 0.70 128 0.02 0.21 Step 764 of 2112 0.70 128 0.02 0.23 Step 772 of 2112 0.70 128 0.03 0.24 Step 780 of 2112 0.70 128 0.02 0.21 Step 788 of 2112 0.70 128 0.03 0.23 Step 796 of 2112 0.71 128 0.01 0.20 Step 804 of 2112 0.71 128 0.02 0.21 Step 812 of 2112 0.71 128 0.02 0.21 Step 820 of 2112 0.71 128 0.02 0.20 Step 828 of 2112 0.71 128 0.02 0.21 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.02 0.23 Step 852 of 2112 0.71 128 0.03 0.22 Step 860 of 2112 0.72 128 0.03 0.22 Step 868 of 2112 0.72 128 0.02 0.22 Step 876 of 2112 0.72 128 0.03 0.23 Step 884 of 2112 0.72 128 0.03 0.22 Step 892 of 2112 0.72 128 0.02 0.20 Step 900 of 2112 0.72 128 0.02 0.20 Step 908 of 2112 0.72 128 0.02 0.21 Step 916 of 2112 0.73 128 0.02 0.21 Step 924 of 2112 0.73 128 0.02 0.21 Step 932 of 2112 0.73 128 0.02 0.21 Step 940 of 2112 0.73 128 0.01 0.21 Step 948 of 2112 0.73 128 0.03 0.21 Step 956 of 2112 0.73 128 0.02 0.21 Step 964 of 2112 0.73 128 0.03 0.20 Step 972 of 2112 0.73 128 0.02 0.20 Step 980 of 2112 0.74 128 0.03 0.24 Step 988 of 2112 0.74 128 0.01 0.21 Step 996 of 2112 0.74 128 0.02 0.22 Step 1004 of 2112 0.74 128 0.01 0.20 Step 1012 of 2112 0.74 128 0.02 0.21 Step 1020 of 2112 0.74 128 0.02 0.22 Step 1028 of 2112 0.74 128 0.02 0.22 Step 1036 of 2112 0.75 128 0.02 0.24 Step 1044 of 2112 0.75 128 0.03 0.24 Step 1052 of 2112 0.75 128 0.03 0.23 Step 1060 of 2112 0.75 128 0.03 0.22 Step 1068 of 2112 0.75 128 0.03 0.22 Step 1076 of 2112 0.75 128 0.02 0.21 Step 1084 of 2112 0.75 128 0.02 0.20 Step 1092 of 2112 0.75 160 0.03 0.32 Step 1100 of 2112 0.76 160 0.03 0.33 Step 1108 of 2112 0.76 160 0.03 0.33 Step 1116 of 2112 0.76 160 0.03 0.34 Step 1124 of 2112 0.76 160 0.03 0.35 Step 1132 of 2112 0.76 160 0.03 0.36 Step 1140 of 2112 0.76 160 0.03 0.37 Step 1148 of 2112 0.76 160 0.03 0.34 Step 1156 of 2112 0.77 160 0.03 0.34 Step 1164 of 2112 0.77 160 0.03 0.34 Step 1172 of 2112 0.77 160 0.03 0.34 Step 1180 of 2112 0.77 160 0.03 0.34 Step 1188 of 2112 0.77 160 0.03 0.35 Step 1196 of 2112 0.77 160 0.03 0.36 Step 1204 of 2112 0.77 160 0.03 0.35 Step 1212 of 2112 0.78 160 0.03 0.33 Step 1220 of 2112 0.78 160 0.03 0.36 Step 1228 of 2112 0.78 160 0.03 0.35 Step 1236 of 2112 0.78 160 0.03 0.36 Step 1244 of 2112 0.78 160 0.03 0.36 Step 1252 of 2112 0.78 160 0.03 0.35 Step 1260 of 2112 0.78 160 0.03 0.33 Step 1268 of 2112 0.78 160 0.02 0.35 Step 1276 of 2112 0.79 160 0.02 0.34 Step 1284 of 2112 0.79 160 0.02 0.35 Step 1292 of 2112 0.79 160 0.03 0.36 Step 1300 of 2112 0.79 160 0.03 0.36 Step 1308 of 2112 0.79 160 0.03 0.38 Step 1316 of 2112 0.79 160 0.03 0.37 Step 1324 of 2112 0.79 160 0.03 0.37 Step 1332 of 2112 0.80 160 0.03 0.36 Step 1340 of 2112 0.80 160 0.02 0.36 Step 1348 of 2112 0.80 160 0.02 0.36 Step 1356 of 2112 0.80 160 0.03 0.34 Step 1364 of 2112 0.80 160 0.03 0.37 Step 1372 of 2112 0.80 160 0.02 0.34 Step 1380 of 2112 0.80 160 0.03 0.33 Step 1388 of 2112 0.81 160 0.03 0.35 Step 1396 of 2112 0.81 160 0.03 0.36 Step 1404 of 2112 0.81 160 0.03 0.35 Step 1412 of 2112 0.81 160 0.03 0.33 Step 1420 of 2112 0.81 160 0.03 0.33 Step 1428 of 2112 0.81 160 0.03 0.34 Step 1436 of 2112 0.81 160 0.03 0.34 Step 1444 of 2112 0.82 160 0.03 0.36 Step 1452 of 2112 0.82 192 0.05 0.40 Step 1460 of 2112 0.82 192 0.04 0.39 Step 1468 of 2112 0.82 192 0.04 0.38 Step 1476 of 2112 0.82 192 0.03 0.39 Step 1484 of 2112 0.82 192 0.03 0.36 Step 1492 of 2112 0.82 192 0.03 0.37 Step 1500 of 2112 0.83 192 0.03 0.36 Step 1508 of 2112 0.83 192 0.04 0.37 Step 1516 of 2112 0.83 192 0.04 0.37 Step 1524 of 2112 0.83 192 0.04 0.37 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.03 0.37 Step 1548 of 2112 0.83 192 0.04 0.37 Step 1556 of 2112 0.83 192 0.03 0.36 Step 1564 of 2112 0.84 192 0.03 0.37 Step 1572 of 2112 0.84 192 0.03 0.38 Step 1580 of 2112 0.84 192 0.03 0.38 Step 1588 of 2112 0.84 192 0.04 0.38 Step 1596 of 2112 0.84 192 0.04 0.38 Step 1604 of 2112 0.84 192 0.04 0.38 Step 1612 of 2112 0.84 192 0.03 0.39 Step 1620 of 2112 0.85 192 0.03 0.37 Step 1628 of 2112 0.85 192 0.03 0.38 Step 1636 of 2112 0.85 192 0.03 0.37 Step 1644 of 2112 0.85 192 0.03 0.36 Step 1652 of 2112 0.85 192 0.03 0.38 Step 1660 of 2112 0.85 192 0.04 0.37 Step 1668 of 2112 0.85 192 0.03 0.39 Step 1676 of 2112 0.86 192 0.03 0.37 Step 1684 of 2112 0.86 192 0.04 0.37 Step 1692 of 2112 0.86 192 0.03 0.37 Step 1700 of 2112 0.86 192 0.03 0.38 Step 1708 of 2112 0.86 192 0.03 0.38 Step 1716 of 2112 0.86 192 0.04 0.36 Step 1724 of 2112 0.86 192 0.04 0.37 Step 1732 of 2112 0.87 192 0.04 0.37 Step 1740 of 2112 0.87 224 0.04 0.48 Step 1748 of 2112 0.87 224 0.04 0.49 Step 1756 of 2112 0.87 224 0.05 0.48 Step 1764 of 2112 0.87 224 0.04 0.46 Step 1772 of 2112 0.87 224 0.05 0.50 Step 1780 of 2112 0.87 224 0.04 0.50 Step 1788 of 2112 0.88 224 0.03 0.50 Step 1796 of 2112 0.88 224 0.03 0.48 Step 1804 of 2112 0.88 224 0.03 0.47 Step 1812 of 2112 0.88 224 0.05 0.51 Step 1820 of 2112 0.88 224 0.04 0.50 Step 1828 of 2112 0.88 224 0.04 0.47 Step 1836 of 2112 0.88 224 0.03 0.52 Step 1844 of 2112 0.89 224 0.04 0.49 Step 1852 of 2112 0.89 224 0.04 0.47 Step 1860 of 2112 0.89 224 0.04 0.48 Step 1868 of 2112 0.89 224 0.04 0.49 Step 1876 of 2112 0.89 224 0.04 0.49 Step 1884 of 2112 0.89 224 0.05 0.49 Step 1892 of 2112 0.89 224 0.04 0.49 Step 1900 of 2112 0.90 224 0.03 0.50 Step 1908 of 2112 0.90 224 0.04 0.48 Step 1916 of 2112 0.90 224 0.04 0.48 Step 1924 of 2112 0.90 224 0.05 0.49 Step 1932 of 2112 0.90 224 0.04 0.48 Step 1940 of 2112 0.90 224 0.05 0.51 Step 1948 of 2112 0.90 224 0.03 0.47 Step 1956 of 2112 0.91 224 0.05 0.49 Step 1964 of 2112 0.91 224 0.05 0.48 Step 1972 of 2112 0.91 224 0.05 0.49 Step 1980 of 2112 0.91 224 0.04 0.47 Step 1988 of 2112 0.91 224 0.04 0.47 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.05 0.51 Step 2012 of 2112 0.92 256 0.06 0.53 Step 2020 of 2112 0.92 256 0.05 0.51 Step 2028 of 2112 0.92 256 0.04 0.49 Step 2036 of 2112 0.92 256 0.05 0.49 Step 2044 of 2112 0.92 256 0.05 0.49 Step 2052 of 2112 0.92 256 0.05 0.49 Step 2060 of 2112 0.92 256 0.06 0.50 Step 2068 of 2112 0.93 256 0.05 0.49 Step 2076 of 2112 0.93 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.05 0.49 Step 2092 of 2112 0.93 256 0.05 0.50 Step 2100 of 2112 0.93 256 0.05 0.49 Step 2108 of 2112 0.93 256 0.05 0.50 EXTRACT_OBJECT: sdR-r2-00034752.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 1 0.91 1.94 .0004 1 0.91 2.02 .0005 1 0.91 1.87 .0006 2 0.91 1.89 .0007 1 0.91 1.84 .0008 1 0.91 1.85 .0009 1 0.91 1.86 .0010 3 0.91 2.01 .0011 2 0.91 1.92 .0012 1 0.91 1.93 .0013 2 0.91 2.01 .0014 1 0.91 2.05 .0015 2 0.91 2.15 .0016 1 0.91 2.14 .0017 1 0.91 2.05 .0018 1 0.91 2.00 .0019 1 0.91 2.07 .0020 3 0.91 2.16 .0021 2 0.91 2.12 .0022 1 0.91 2.01 .0023 1 0.91 2.21 .0024 2 0.91 2.11 .0025 3 0.91 2.26 .0026 1 0.91 2.06 .0027 2 0.91 2.22 .0028 2 0.91 2.11 .0029 1 0.91 2.05 .0030 1 0.91 2.22 .0031 1 0.91 2.26 .0032 1 0.91 2.27 .0033 3 0.91 2.28 .0034 1 0.91 2.24 .0035 2 0.91 2.20 .0036 1 0.91 2.31 .0037 2 0.91 2.38 .0038 1 0.91 2.23 .0039 1 0.91 2.22 .0040 1 0.91 2.33 .0041 3 0.91 2.24 .0042 2 0.91 2.35 .0043 1 0.91 2.45 .0044 2 0.91 2.39 .0045 1 0.91 2.33 .0046 1 0.91 2.40 .0047 1 0.91 2.26 .0048 2 0.91 2.13 .0049 2 0.91 2.20 .0050 2 0.91 2.14 .0051 2 0.91 2.26 .0052 2 0.91 2.11 .0053 4 0.91 2.15 .0054 3 0.91 2.55 .0055 2 0.91 2.21 .0056 2 0.91 2.10 .0057 2 0.91 2.15 .0058 2 0.91 2.16 .0059 2 0.91 2.42 .0060 2 0.91 2.16 .0061 2 0.91 2.15 .0062 2 0.91 2.27 .0063 2 0.91 2.27 .0064 2 0.91 2.32 .0065 3 0.91 2.50 .0066 2 0.91 2.71 .0067 3 0.91 2.49 .0068 2 0.91 2.57 .0069 2 0.91 2.43 .0070 2 0.91 2.35 .0071 2 0.91 2.37 .0072 2 0.91 2.31 .0073 2 0.91 2.47 .0074 2 0.91 2.37 .0075 2 0.91 2.40 .0076 3 0.91 2.46 .0077 2 0.91 2.74 .0078 2 0.91 2.51 .0079 2 0.91 2.56 .0080 2 0.91 2.45 .0081 2 0.91 2.58 .0082 3 0.91 2.53 .0083 2 0.91 2.49 .0084 2 0.91 2.45 .0085 2 0.91 2.45 .0086 2 0.91 2.48 .0087 2 0.91 2.68 .0088 3 0.91 2.47 .0089 2 0.91 2.50 .0090 2 0.91 2.37 .0091 2 0.91 2.45 .0092 2 0.91 2.40 .0093 2 0.91 2.35 .0094 2 0.91 2.36 .0095 2 0.91 2.49 .0096 2 0.91 2.44 .0097 2 0.91 2.53 .0098 3 0.91 2.50 .0099 3 0.91 2.68 .0100 2 0.91 2.72 .0101 2 0.91 2.62 .0102 2 0.91 2.39 .0103 2 0.91 2.82 .0104 3 0.91 2.65 .0105 2 0.91 2.56 .0106 3 0.91 2.35 .0107 2 0.91 2.41 .0108 3 0.91 2.47 .0109 3 0.91 2.48 .0110 3 0.91 2.60 .0111 3 0.91 2.37 .0112 3 0.91 2.56 .0113 3 0.91 2.52 .0114 3 0.91 2.68 .0115 3 0.91 2.37 .0116 3 0.91 2.49 .0117 3 0.91 2.57 .0118 3 0.91 2.42 .0119 3 0.91 2.52 .0120 3 0.91 2.50 .0121 2 0.91 2.38 .0122 2 0.91 2.53 .0123 2 0.91 2.40 .0124 2 0.91 2.51 .0125 2 0.91 2.53 .0126 2 0.91 2.47 .0127 2 0.91 2.47 .0128 2 0.91 2.47 .0129 3 0.91 2.46 .0130 2 0.91 2.46 .0131 2 0.91 2.36 .0132 2 0.91 2.62 .0133 2 0.91 2.38 .0134 2 0.91 2.36 .0135 2 0.91 2.42 .0136 2 0.91 2.47 .0137 2 0.91 2.57 .0138 3 0.91 2.45 .0139 2 0.91 2.64 .0140 2 0.91 2.59 .0141 2 0.91 2.53 .0142 3 0.91 2.60 .0143 2 0.91 2.88 .0144 3 0.91 2.66 .0145 3 0.91 2.60 .0146 2 0.91 2.72 .0147 2 0.91 2.74 .0148 2 0.91 2.77 .0149 2 0.91 2.50 .0150 2 0.91 2.65 .0151 3 0.91 2.72 .0152 2 0.91 2.85 .0153 3 0.91 2.81 .0154 2 0.91 2.73 .0155 2 0.91 2.52 .0156 2 0.91 2.87 .0157 2 0.91 2.79 .0158 2 0.91 2.79 .0159 2 0.91 2.92 .0160 2 0.91 3.03 .0161 3 0.91 2.84 .0162 3 0.91 2.79 .0163 3 0.91 2.81 .0164 2 0.91 2.94 .0165 2 0.91 2.90 .0166 2 0.91 2.97 .0167 3 0.91 2.89 .0168 2 0.91 3.17 .0169 2 0.91 2.99 .0170 2 0.91 2.91 .0171 2 0.91 2.95 .0172 2 0.91 3.00 .0173 2 0.91 3.29 .0174 2 0.91 3.12 .0175 3 0.91 3.25 .0176 3 0.91 3.06 .0177 2 0.91 3.11 .0178 2 0.91 3.20 .0179 2 0.91 2.99 .0180 2 0.91 3.01 .0181 2 0.91 3.70 .0182 3 0.91 3.21 .0183 3 0.91 3.67 .0184 5 0.91 3.33 .0185 2 0.91 3.41 .0186 2 0.91 3.24 .0187 2 0.91 3.45 .0188 3 0.91 3.35 .0189 4 0.91 3.46 .0190 2 0.91 3.42 .0191 2 0.91 3.35 .0192 2 0.91 3.43 .0193 2 0.91 3.58 .0194 2 0.91 3.49 .0195 2 0.91 3.44 .0196 2 0.91 3.69 .0197 2 0.91 3.76 .0198 2 0.91 3.69 .0199 1 0.91 3.58 .0200 4 0.91 3.60 .0201 3 0.91 3.60 .0202 2 0.91 3.66 .0203 1 0.91 3.82 .0204 2 0.91 3.71 .0205 1 0.91 3.79 .0206 1 0.91 3.67 .0207 1 0.91 3.58 .0208 1 0.91 3.72 .0209 1 0.91 3.46 .0210 1 0.91 3.47 .0211 1 0.91 3.62 .0212 1 0.91 3.59 .0213 1 0.91 3.41 .0214 2 0.91 3.73 .0215 3 0.91 3.33 .0216 3 0.91 3.59 .0217 1 0.91 3.38 .0218 2 0.91 3.56 .0219 2 0.91 3.40 .0220 2 0.91 3.51 .0221 4 0.91 3.33 .0222 2 0.91 3.41 .0223 1 0.91 3.10 .0224 2 0.91 3.39 .0225 3 0.91 3.47 .0226 1 0.91 3.41 .0227 3 0.91 3.29 .0228 2 0.91 3.27 .0229 1 0.91 3.31 .0230 2 0.91 3.38 .0231 1 0.91 3.34 .0232 1 0.91 3.34 .0233 1 0.91 3.21 .0234 1 0.91 3.47 .0235 1 0.91 3.31 .0236 1 0.91 3.37 .0237 2 0.91 3.44 .0238 1 0.91 3.26 .0239 1 0.91 3.25 .0240 1 0.91 3.38 .0241 2 0.91 3.64 .0242 2 0.91 3.32 .0243 1 0.91 3.47 .0244 2 0.91 3.14 .0245 2 0.91 3.31 .0246 2 0.91 3.35 .0247 2 0.91 3.28 .0248 2 0.91 3.53 .0249 2 0.91 3.37 .0250 3 0.91 3.37 .0251 2 0.91 3.50 .0252 2 0.91 3.53 .0253 2 0.91 3.50 .0254 1 0.91 3.49 .0255 2 0.91 3.51 .0256 2 0.91 3.38 .0257 1 0.91 3.27 .0258 1 0.91 3.49 .0259 1 0.91 3.60 .0260 2 0.91 3.69 .0261 1 0.91 3.59 .0262 2 0.91 3.38 .0263 2 0.91 3.22 .0264 1 0.91 3.47 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3 0.94 2.20 .1581 1 0.94 2.13 .1582 1 0.94 2.16 .1583 1 0.94 2.17 .1584 2 0.94 2.12 .1585 3 0.94 2.26 .1586 3 0.94 2.25 .1587 2 0.94 2.37 .1588 1 0.94 2.29 .1589 1 0.94 2.25 .1590 2 0.94 2.08 .1591 3 0.94 2.13 .1592 1 0.94 2.15 .1593 1 0.94 2.13 .1594 2 0.94 2.15 .1595 1 0.94 2.17 .1596 2 0.94 2.22 .1597 2 0.94 2.20 .1598 2 0.94 2.26 .1599 2 0.94 2.28 .1600 3 0.94 2.29 .1601 3 0.94 2.10 .1602 3 0.94 2.25 .1603 2 0.94 2.34 .1604 2 0.94 2.36 .1605 4 0.94 2.26 .1606 3 0.94 2.09 .1607 2 0.94 2.26 .1608 1 0.94 2.14 .1609 1 0.94 2.19 .1610 1 0.94 2.27 .1611 1 0.94 2.15 .1612 1 0.94 2.05 .1613 1 0.94 2.12 .1614 1 0.94 2.19 .1615 1 0.94 2.16 .1616 3 0.94 2.22 .1617 3 0.94 2.28 .1618 2 0.94 2.18 .1619 3 0.94 2.16 .1620 4 0.94 2.14 .1621 3 0.94 2.25 .1622 2 0.94 2.08 .1623 1 0.94 2.11 .1624 1 0.94 2.21 .1625 6 0.94 2.12 .1626 4 0.94 2.19 .1627 1 0.94 2.08 .1628 1 0.94 2.02 .1629 1 0.94 2.07 .1630 3 0.94 2.16 .1631 2 0.94 1.98 .1632 3 0.94 2.18 .1633 3 0.94 2.20 .1634 3 0.94 2.14 .1635 1 0.94 2.04 .1636 1 0.94 2.11 .1637 1 0.94 2.03 .1638 1 0.94 2.04 .1639 1 0.94 2.04 .1640 2 0.94 2.07 .1641 1 0.94 2.02 .1642 1 0.94 2.00 .1643 1 0.94 1.97 .1644 2 0.94 2.00 .1645 2 0.94 2.10 .1646 2 0.94 2.08 .1647 1 0.94 2.10 .1648 2 0.94 2.15 .1649 3 0.94 2.02 .1650 2 0.94 2.13 .1651 2 0.94 2.09 .1652 1 0.94 1.93 .1653 1 0.94 1.97 .1654 1 0.94 1.98 .1655 2 0.94 2.08 .1656 3 0.94 2.04 .1657 3 0.94 1.93 .1658 2 0.94 2.08 .1659 2 0.94 1.99 .1660 2 0.94 2.04 .1661 4 0.94 1.92 .1662 3 0.94 2.15 .1663 2 0.94 2.08 .1664 2 0.94 1.86 .1665 3 0.94 1.91 .1666 4 0.94 1.94 .1667 2 0.94 1.92 .1668 1 0.94 1.80 .1669 3 0.94 2.04 .1670 3 0.95 1.90 .1671 3 0.95 2.07 .1672 1 0.95 2.15 .1673 2 0.95 1.97 .1674 2 0.95 1.99 .1675 1 0.95 2.00 .1676 1 0.95 2.02 .1677 3 0.95 2.02 .1678 3 0.95 1.96 .1679 1 0.95 2.00 .1680 1 0.95 1.98 .1681 2 0.95 2.00 .1682 1 0.95 2.04 .1683 1 0.95 1.99 .1684 1 0.95 1.96 .1685 1 0.95 1.89 .1686 1 0.95 2.02 .1687 1 0.95 1.90 .1688 2 0.95 1.97 .1689 1 0.95 1.93 .1690 3 0.95 1.99 .1691 2 0.95 2.00 .1692 2 0.95 1.98 .1693 4 0.95 1.93 .1694 3 0.95 1.92 .1695 4 0.95 2.08 .1696 3 0.95 1.96 .1697 5 0.95 1.98 .1698 3 0.95 1.95 .1699 1 0.95 2.03 .1700 3 0.95 1.88 .1701 2 0.95 2.00 .1702 3 0.95 1.98 .1703 2 0.95 1.95 .1704 2 0.95 2.04 .1705 2 0.95 1.93 .1706 2 0.95 1.96 .1707 3 0.95 2.00 .1708 3 0.95 2.02 .1709 1 0.95 2.00 .1710 1 0.95 1.97 .1711 2 0.95 2.05 .1712 2 0.95 1.88 .1713 1 0.95 2.02 .1714 4 0.95 1.94 .1715 1 0.95 1.92 .1716 1 0.95 1.93 .1717 1 0.95 1.92 .1718 2 0.95 1.92 .1719 3 0.95 1.89 .1720 1 0.95 1.78 .1721 2 0.95 1.95 .1722 1 0.95 1.93 .1723 2 0.95 1.80 .1724 1 0.95 1.91 .1725 1 0.95 1.85 .1726 1 0.95 1.91 .1727 1 0.95 1.88 .1728 1 0.95 1.87 .1729 2 0.95 1.92 .1730 2 0.95 1.95 .1731 3 0.95 1.74 .1732 1 0.95 1.85 .1733 1 0.95 1.78 .1734 1 0.95 1.88 .1735 1 0.95 1.73 .1736 1 0.95 1.70 .1737 2 0.95 1.70 .1738 2 0.95 1.85 .1739 3 0.95 1.85 .1740 2 0.95 1.89 .1741 1 0.95 1.81 .1742 1 0.95 1.77 .1743 1 0.95 1.92 .1744 2 0.95 1.89 .1745 3 0.95 1.84 .1746 3 0.95 1.92 .1747 1 0.95 1.85 .1748 3 0.95 1.91 .1749 2 0.95 1.86 .1750 1 0.95 1.98 .1751 1 0.95 1.94 .1752 3 0.95 1.93 .1753 3 0.95 1.95 .1754 1 0.95 1.87 .1755 1 0.95 1.89 .1756 1 0.95 1.85 .1757 1 0.95 1.94 .1758 2 0.95 1.96 .1759 2 0.95 1.85 .1760 2 0.95 1.88 .1761 1 0.95 1.86 .1762 1 0.95 1.87 .1763 1 0.95 1.82 .1764 1 0.95 1.84 .1765 1 0.95 1.87 .1766 1 0.95 1.82 .1767 1 0.95 1.86 .1768 1 0.95 1.89 .1769 1 0.95 1.85 .1770 4 0.95 1.86 .1771 1 0.95 1.90 .1772 1 0.95 1.83 .1773 2 0.95 1.87 .1774 2 0.95 1.91 .1775 1 0.95 1.74 .1776 1 0.95 1.95 .1777 2 0.95 1.86 .1778 4 0.95 1.90 .1779 2 0.95 1.94 .1780 1 0.95 1.85 .1781 1 0.95 1.81 .1782 2 0.95 2.00 .1783 3 0.95 1.83 .1784 3 0.95 1.85 .1785 1 0.95 1.94 .1786 1 0.95 1.89 .1787 2 0.95 1.91 .1788 2 0.95 1.92 .1789 1 0.95 1.88 .1790 3 0.95 1.83 .1791 1 0.95 1.89 .1792 1 0.95 1.84 .1793 3 0.95 1.83 .1794 1 0.95 1.86 .1795 1 0.95 1.90 .1796 1 0.95 1.88 .1797 1 0.95 1.81 .1798 1 0.95 1.91 .1799 2 0.95 1.83 .1800 1 0.95 1.83 .1801 1 0.95 1.93 .1802 1 0.95 1.82 .1803 2 0.95 1.79 .1804 2 0.95 1.78 .1805 1 0.95 1.81 .1806 1 0.95 1.80 .1807 3 0.95 1.84 .1808 1 0.95 1.94 .1809 2 0.95 1.95 .1810 3 0.95 1.93 .1811 3 0.95 1.96 .1812 2 0.95 1.94 .1813 2 0.95 1.92 .1814 3 0.95 2.03 .1815 3 0.95 1.87 .1816 3 0.95 1.93 .1817 4 0.95 1.89 .1818 2 0.95 1.92 .1819 1 0.95 1.96 .1820 1 0.95 1.92 .1821 1 0.95 1.94 .1822 3 0.95 1.93 .1823 3 0.95 1.96 .1824 1 0.95 2.01 .1825 1 0.95 1.89 .1826 3 0.95 2.00 .1827 2 0.95 1.98 .1828 3 0.95 2.10 .1829 2 0.95 2.10 .1830 2 0.95 1.79 .1831 1 0.95 1.73 .1832 2 0.95 1.79 .1833 3 0.95 1.82 .1834 2 0.95 1.95 .1835 1 0.95 1.89 .1836 2 0.95 1.74 .1837 1 0.95 1.90 .1838 2 0.95 1.77 .1839 1 0.95 1.81 .1840 1 0.95 1.87 .1841 1 0.95 1.85 .1842 2 0.95 1.85 .1843 3 0.95 1.83 .1844 1 0.95 1.92 .1845 1 0.95 1.88 .1846 1 0.95 1.75 .1847 1 0.95 1.81 .1848 2 0.95 1.80 .1849 2 0.95 1.89 .1850 2 0.95 1.76 .1851 4 0.95 1.95 .1852 3 0.95 1.94 .1853 2 0.95 1.90 .1854 1 0.95 1.94 .1855 1 0.95 1.89 .1856 1 0.95 1.90 .1857 1 0.95 1.95 .1858 1 0.95 1.89 .1859 1 0.95 1.87 .1860 2 0.95 1.95 .1861 3 0.95 2.12 .1862 3 0.95 2.15 .1863 2 0.95 1.94 .1864 1 0.95 1.88 .1865 2 0.95 1.99 .1866 1 0.95 1.99 .1867 3 0.95 2.06 .1868 2 0.95 2.11 .1869 2 0.95 2.08 .1870 3 0.95 2.04 .1871 3 0.95 1.96 .1872 3 0.95 2.00 .1873 1 0.95 2.06 .1874 2 0.95 2.03 .1875 3 0.95 1.89 .1876 2 0.95 1.97 .1877 1 0.95 1.92 .1878 1 0.95 1.87 .1879 1 0.95 2.00 .1880 1 0.95 1.95 .1881 1 0.95 2.08 .1882 1 0.95 1.90 .1883 1 0.95 1.83 .1884 1 0.95 1.83 .1885 1 0.95 1.87 .1886 2 0.95 1.85 .1887 3 0.95 1.92 .1888 1 0.95 1.83 .1889 1 0.95 2.02 .1890 1 0.95 1.90 .1891 1 0.95 1.81 .1892 1 0.95 1.83 .1893 1 0.95 1.98 .1894 1 0.95 1.88 .1895 2 0.95 1.86 .1896 1 0.95 1.84 .1897 1 0.95 1.80 .1898 2 0.95 1.91 .1899 2 0.95 1.73 .1900 1 0.95 1.89 .1901 3 0.95 1.94 .1902 1 0.95 1.79 .1903 1 0.95 1.79 .1904 3 0.95 1.87 .1905 4 0.95 1.74 .1906 3 0.95 1.79 .1907 3 0.95 1.74 .1908 3 0.95 1.87 .1909 1 0.95 1.79 .1910 2 0.95 1.83 .1911 1 0.95 1.66 .1912 1 0.95 1.90 .1913 2 0.95 1.74 .1914 3 0.95 1.71 .1915 2 0.95 1.72 .1916 1 0.95 1.71 .1917 2 0.95 1.65 .1918 1 0.95 1.78 .1919 3 0.95 1.67 .1920 1 0.95 1.72 .1921 2 0.95 1.62 .1922 1 0.95 1.72 .1923 1 0.95 1.68 .1924 1 0.95 1.70 .1925 2 0.95 1.71 .1926 1 0.95 1.74 .1927 2 0.95 1.80 .1928 1 0.95 1.67 .1929 1 0.95 1.73 .1930 1 0.95 1.73 .1931 1 0.95 1.62 .1932 1 0.95 1.68 .1933 1 0.95 1.65 .1934 3 0.95 1.70 .1935 4 0.95 1.65 .1936 1 0.95 1.81 .1937 1 0.95 1.71 .1938 1 0.95 1.92 .1939 2 0.95 1.76 .1940 2 0.95 1.76 .1941 1 0.95 1.71 .1942 3 0.95 1.78 .1943 3 0.95 1.75 .1944 3 0.95 1.70 .1945 1 0.95 1.74 .1946 1 0.95 1.91 .1947 1 0.95 1.81 .1948 3 0.95 1.80 .1949 2 0.95 1.81 .1950 1 0.95 1.85 .1951 1 0.95 1.75 .1952 1 0.95 1.83 .1953 1 0.95 1.90 .1954 1 0.95 1.75 .1955 1 0.95 1.71 .1956 3 0.95 1.70 .1957 3 0.95 1.91 .1958 1 0.95 1.66 .1959 4 0.95 1.75 .1960 1 0.95 1.74 .1961 5 0.95 1.79 .1962 3 0.95 1.83 .1963 3 0.95 1.80 .1964 1 0.95 1.67 .1965 2 0.95 1.74 .1966 3 0.95 1.80 .1967 3 0.95 1.80 .1968 1 0.95 1.73 .1969 2 0.95 1.83 .1970 1 0.95 1.82 .1971 1 0.95 1.78 .1972 1 0.95 1.73 .1973 1 0.95 1.78 .1974 1 0.95 1.78 .1975 1 0.95 1.75 .1976 2 0.95 1.65 .1977 3 0.95 1.80 .1978 3 0.95 1.74 .1979 3 0.95 1.74 .1980 2 0.95 1.73 .1981 1 0.95 1.70 .1982 1 0.95 1.75 .1983 1 0.95 1.81 .1984 1 0.95 1.72 .1985 1 0.95 1.68 .1986 2 0.95 1.78 .1987 2 0.95 1.88 .1988 3 0.95 1.88 .1989 1 0.95 1.74 .1990 1 0.95 1.66 .1991 1 0.95 1.64 .1992 1 0.95 1.62 .1993 2 0.95 1.68 .1994 1 0.95 1.67 .1995 1 0.95 1.75 .1996 3 0.95 1.70 .1997 3 0.95 1.75 .1998 1 0.95 1.70 .1999 3 0.95 1.64 .2000 3 0.95 1.65 .2001 2 0.95 1.87 .2002 2 0.95 1.73 .2003 3 0.95 1.67 .2004 3 0.95 1.71 .2005 1 0.95 1.73 .2006 1 0.95 1.79 .2007 3 0.95 1.80 .2008 3 0.95 1.73 .2009 1 0.95 1.70 .2010 1 0.95 1.77 .2011 1 0.95 1.64 .2012 1 0.95 1.72 .2013 1 0.95 1.64 .2014 1 0.95 1.63 .2015 2 0.95 1.66 .2016 2 0.95 1.81 .2017 1 0.95 1.73 .2018 2 0.95 1.69 .2019 2 0.95 1.69 .2020 3 0.95 1.69 .2021 3 0.95 1.71 .2022 3 0.95 1.83 .2023 2 0.95 1.64 .2024 1 0.95 1.71 .2025 2 0.95 1.68 .2026 2 0.95 1.79 .2027 2 0.95 1.70 .2028 2 0.95 1.64 .2029 2 0.95 1.71 .2030 1 0.95 1.66 .2031 1 0.95 1.64 .2032 2 0.95 1.74 .2033 1 0.95 1.56 .2034 1 0.95 1.56 .2035 1 0.95 1.74 .2036 1 0.95 1.65 .2037 1 0.95 1.53 .2038 1 0.95 1.65 .2039 1 0.95 1.67 .2040 3 0.95 1.60 .2041 3 0.95 1.65 .2042 4 0.95 1.68 .2043 2 0.95 1.59 .2044 3 0.95 1.59 .2045 1 0.95 1.59 .2046 2 0.95 1.67 .2047 3 0.95 1.55 EXTRACT_IMAGE: sdR-r2-00034752.fit: masked 2451 pixels DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 430 low points in trace 54 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 384 low points in trace 184 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 617 low points in trace 224 DIVIDEFLAT: sdR-r2-00034752.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034752.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 606 low points in trace 276 DIVIDEFLAT: sdR-r2-00034752.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034752.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 224 low points in trace 318 DIVIDEFLAT: sdR-r2-00034752.fit: Warning: Reject 480 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034752.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034752.fit: WARNING: sky shift reference line, sigma 7794.1200 0.058038351 LOCATESKYLINES_2: sdR-r2-00034752.fit: sky shift reference line, offset: 7794.1200 -0.10690363 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 0 7.5557169 341.79826 -0.17141056 0.99315426 902.86960 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 6 6.9174556 284.71496 -0.25064731 0.92584230 882.22364 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 13 3.9465750 298.44589 -0.23609276 0.94732756 844.72627 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 18 2.1963705 336.07073 -0.31584388 0.91692731 819.49134 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 26 6.8781248 361.96264 -0.28283033 0.90907284 975.87823 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 52 2.4591219 334.11555 -0.25617527 0.92721321 919.14780 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 60 6.5967415 348.80514 -0.25053847 0.94867342 906.89649 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 63 3.4614504 307.31535 -0.18478780 0.98334431 928.60750 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 82 11.087035 302.71462 -0.22991284 0.92036682 939.30124 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 84 7.1280315 279.32211 -0.27406951 0.91771493 1015.8690 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 109 7.1446510 269.92971 -0.22026665 0.97472125 914.24123 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 114 4.1213237 289.75202 -0.28161744 0.97321799 923.64150 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 131 6.9400434 305.13510 -0.22626573 0.94042487 925.27760 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 153 11.554175 356.93994 -0.26605156 0.95941297 913.40820 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 176 8.6628587 351.65294 -0.17364373 1.0047059 905.20608 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 180 3.9552894 348.85154 -0.23568435 0.95310919 991.33267 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 184 4.5375922 382.33518 -0.26315082 0.96103758 904.34268 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 185 8.8880589 354.65245 -0.22662830 0.93082363 959.63399 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 186 4.4402704 332.41780 -0.27890692 0.99698864 961.12857 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 201 6.3263638 308.28493 -0.26436394 0.98353989 962.80941 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 204 10.405875 326.39789 -0.28790112 0.99061395 1023.5681 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 206 7.3417100 354.23906 -0.27658788 0.90418495 927.49492 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 213 3.8597890 349.32279 -0.22620720 0.93808574 906.21758 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 235 5.8467991 348.61519 -0.14994286 0.90208597 938.71865 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 257 8.3137346 331.45510 -0.23138428 0.95994707 976.29033 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 259 4.8728535 409.61561 -0.28258357 0.90546725 975.35452 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 260 1.5357201 331.93447 -0.18596216 1.0155030 885.50272 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 261 2.7289689 395.46770 -0.20364046 0.95131688 998.95225 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 265 6.1571680 350.17770 -0.23600128 0.91477258 976.39481 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 271 6.2921838 357.98858 -0.21747830 0.93398964 959.92578 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 276 5.7801195 376.94499 -0.21070401 0.90444716 951.81630 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 281 5.3496918 308.59269 -0.21669948 0.96610757 958.92053 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 284 6.7417447 339.10435 -0.24073385 0.91396302 920.45027 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 307 3.9539640 343.12854 -0.16591076 0.96897689 940.74935 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 0 308 4.2660188 366.08703 -0.25616982 1.0036777 862.12736 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 0 3.6451908 0.00031628320 -0.23692231 0.94931067 0.99816217 LOCATESKYLINES_2: sdR-r2-00034752.fit: sigma-clipped to 312 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034752.fit: comb2 l,chi^2/dof,fit: 0 3.4788154 -0.00067616452 -0.23616834 0.95182255 0.99827474 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 312 of 315 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.343072-0.2361680.006146 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 0 1.3218796 284.65041 -0.34663070 1.0730969 311.39414 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 6 0.46919696 218.77079 -0.18400512 0.94810916 307.61196 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 13 0.56898833 208.96114 -0.082550481 1.0364141 336.10327 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 18 1.7404623 228.12298 -0.29828295 1.0874325 263.12594 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 26 1.3788109 283.39909 -0.20312854 1.0113879 291.82079 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 52 1.6450774 248.19552 -0.23406652 0.81090602 258.41886 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 60 1.4516792 259.16397 -0.23285498 1.2349922 283.35775 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 63 1.6368555 241.88316 -0.30257163 1.0069459 287.26215 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 82 3.0155327 216.75688 -0.21861592 1.0304750 256.06294 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 84 2.0729650 237.87162 -0.20321194 0.92866646 272.06285 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 109 0.67792311 226.83327 -0.22759621 0.88368898 276.57700 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 114 1.7930330 239.21879 -0.32707200 0.97419335 276.67079 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 131 1.1157827 245.36361 -0.17548739 0.87732276 315.10791 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 153 1.2756383 299.47018 -0.20740910 1.0295356 273.07528 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 176 0.27987070 320.95876 -0.087592468 0.85551524 288.47296 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 180 2.0530187 268.25883 0.0044024894 0.98688065 302.84845 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 184 3.7521971 294.02212 -0.15349666 1.2142713 258.38019 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 185 4.5422304 274.87148 -0.19301010 1.0719161 296.47227 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 186 1.1386321 279.66199 -0.21652857 1.0434069 302.02909 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 201 1.3089306 275.50138 -0.24891041 0.96458170 283.12186 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 204 2.1984763 278.67110 -0.25129660 0.95639074 301.60888 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 206 0.79051924 277.42022 -0.25736304 0.94151322 309.30193 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 213 1.6052750 286.49834 -0.022770991 1.0643679 283.16494 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 235 0.52609884 255.23145 -0.14952353 0.98520147 287.88410 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 257 2.4420430 282.65703 -0.22992560 1.0215120 302.95046 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 259 2.2495071 321.72107 -0.085183947 1.0891142 326.67574 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 260 1.3662803 275.10307 0.10315034 0.98426553 304.57758 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 261 0.44424040 322.64222 -0.061786901 0.94072837 291.24385 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 265 1.3842051 286.58455 -0.25655851 1.0710570 311.33194 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 271 1.6143798 292.88352 -0.21981050 1.0341318 287.06971 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 276 0.64201986 263.01996 -0.12230603 0.99917290 319.13244 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 281 0.54882839 266.81968 -0.15019400 1.0367076 267.48132 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 284 0.87195021 272.19182 -0.33764507 0.79765728 318.23596 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 307 1.6955262 288.40638 -0.22783112 0.96893169 301.38009 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 1 308 0.64376575 319.93024 -0.20076893 0.84500197 280.20708 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 1 1.1731289 0.0023316286 -0.18485841 0.99538769 0.98856466 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.291762-0.1848580.015807 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 0 0.81120457 252.22035 -0.35608807 1.2047420 92.643521 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 6 0.54783117 152.79168 -0.20478366 1.1843985 108.58592 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 13 1.3980814 159.84205 0.13283362 1.4271534 86.760670 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 18 0.79042357 187.43028 -0.087062809 1.1061456 90.218135 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 26 2.1133377 236.68801 -0.79539600 0.95513014 96.482722 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 52 2.4514878 152.47985 -0.77879407 2.0000000 127.04306 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 60 2.9555939 193.88689 -1.0000000 2.0000000 95.185067 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 63 1.1680026 207.15879 -0.42870378 0.95994986 106.36587 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 82 1.2979636 154.13753 -0.93517053 2.0000000 87.724847 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 84 1.1212766 155.65451 -1.0000000 1.7866592 92.027762 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 109 1.4187232 181.34434 0.065057048 1.0108300 92.341068 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 114 1.8540891 187.36268 -0.53544564 0.60000000 123.55934 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 131 0.93787831 201.01431 -0.59244693 0.94032702 132.48749 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 153 0.24376198 278.24375 -0.34821694 0.90818602 103.08507 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 176 1.3993407 237.81414 -0.79015189 1.1800811 104.16651 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 180 0.51123424 258.52300 -0.21230771 1.0203779 86.169894 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 184 1.0614611 265.34207 -0.32661475 1.1864323 65.278903 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 185 1.2883725 249.13314 -0.21704880 0.97569996 101.06973 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 186 0.98857491 268.09775 -0.68694618 0.71362208 64.829812 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 201 0.26099229 254.14774 -0.011827996 0.75294367 108.01639 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 204 0.39508832 250.96959 -0.63042885 1.0969888 72.972697 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 206 0.60539100 244.44250 -0.53036431 1.6130179 82.187422 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 213 1.2771921 256.28768 0.084825404 0.60000000 70.775834 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 235 1.3233502 245.41096 0.12663811 0.78115051 119.21594 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 257 2.2488294 257.65626 -0.23523944 0.61989640 142.91728 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 259 1.6926409 318.21840 0.18004536 0.60000000 92.874878 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 260 1.5565595 231.73467 -0.96346478 1.8446383 110.81203 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 261 0.90409340 295.50714 0.12753809 0.61270403 127.69519 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 265 0.47796622 257.05274 -0.056497035 0.99983873 111.55966 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 271 0.41917843 249.83764 -0.61943192 1.3161642 83.863412 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 276 0.92291753 234.78593 0.44165579 1.3598000 84.722672 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 281 1.5495007 195.68918 -0.60885713 2.0000000 116.40779 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 284 2.1542374 230.95608 -0.63408360 1.3829396 96.853955 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 307 2.3763218 260.92192 -0.59113966 1.0142034 112.30065 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 2 308 1.2289181 258.31791 -0.74143888 1.5931919 88.593957 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 2 0.78487098 0.0049779574 -0.32815365 1.1239203 0.90354451 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 243 of 243 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.435057-0.3281540.053047 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 0 0.88633457 271.50078 -0.083610049 1.1016546 145.84096 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 6 1.4866174 154.24110 0.039938527 1.1649897 213.66150 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 13 0.83311065 193.64216 -0.25760091 1.3157858 130.00785 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 18 0.42699564 213.20694 -0.74256814 1.0165921 158.13502 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 26 0.66383783 274.48682 -0.14274926 0.91021189 170.52020 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 52 0.87044842 202.98979 -0.33267211 1.1665698 183.23780 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 60 0.83469428 255.28321 -0.42700434 0.79319125 215.38256 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 63 0.74783487 229.28649 -0.30433860 0.83167906 187.35816 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 82 1.4445288 211.66520 -0.17182385 0.88481942 179.02042 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 84 1.6281829 195.09213 -0.19631629 1.0262965 140.27310 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 109 2.3750814 205.47196 0.022046306 1.3485942 173.99971 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 114 1.7609211 200.99857 -0.12375087 0.75963002 214.63963 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 131 0.79136567 250.76825 0.091644455 0.93911253 166.85686 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 153 0.89348407 315.69712 -0.32414310 1.0733679 123.83557 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 176 1.2880199 298.33683 0.082905594 0.96703045 153.12396 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 180 1.1739916 290.29788 -0.38087938 0.90333543 142.06852 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 184 0.95585332 289.63293 -0.20730171 0.87726562 193.34493 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 185 0.15966998 291.34708 -0.28426328 0.79652467 172.52078 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 186 1.7419030 290.13555 0.046452385 0.97926146 142.58717 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 201 1.2157391 298.28856 -0.12870626 0.86256921 158.99184 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 204 0.47014945 281.54634 -0.29563173 0.99006349 146.12969 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 206 0.14825400 290.10418 -0.10358260 1.0046846 134.15798 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 213 0.39663563 285.60676 0.088103982 1.0174942 138.02865 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 235 1.2438053 274.15231 -0.24711209 1.0795405 160.74883 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 257 1.1212335 284.05805 -0.21922707 0.85211470 194.08596 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 259 2.3065930 326.54527 -0.30336908 1.1468834 160.15015 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 260 0.55481313 272.34880 -0.75750614 1.1123300 125.77230 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 261 1.4513128 343.37968 -0.057838110 0.83056819 178.10510 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 265 1.2176672 281.87494 -0.19940173 0.99622692 166.93988 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 271 0.34136606 291.65851 -0.19912504 0.60000000 182.95573 LOCATESKYLINES_2: sdR-r2-00034752.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 276 0.65213956 266.61071 -0.20154729 0.93261149 196.64727 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 281 0.65092568 258.90921 -0.0017786084 0.97186787 213.05764 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 284 2.2823328 274.62712 -0.28965060 0.83603769 175.48473 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 307 0.44794084 316.02004 -0.33775213 1.0093216 160.03359 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 3 308 1.5253720 289.86788 -0.14892784 1.0167334 224.69539 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 3 0.87625731 0.0054703395 -0.19776794 0.97149449 0.97149697 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.304672-0.1977680.026752 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 0 0.84519249 276.40286 -0.24330222 1.0749789 179.64929 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 6 0.57898717 196.48445 -0.13496329 1.1388822 159.95132 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 13 1.0063163 201.48203 7.7805769e-05 0.95481746 220.67958 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 18 0.86448033 216.30544 -0.45523743 1.0024966 179.50040 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 26 1.0110553 277.86009 0.12495753 1.0446084 188.47789 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 52 0.87333918 219.42294 -0.10488639 0.80602463 196.47924 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 60 2.2904544 250.57116 -0.18358339 1.0500591 145.20266 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 63 0.46234436 234.92065 -0.16996560 0.81678845 203.37990 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 82 2.9333984 218.80170 -0.087869363 1.0086347 194.39336 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 84 0.76921001 211.69356 -0.091934238 0.91605574 153.08166 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 109 2.1322457 221.39580 -0.28767188 0.77569794 208.32356 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 114 0.58777558 218.94456 -0.26748658 0.76581101 224.96939 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 131 2.1947009 247.83021 -0.087095123 0.94892236 168.35742 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 153 0.82450242 301.10291 -0.11157925 0.86054431 189.05724 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 176 0.48812805 304.60956 -0.34997595 1.1443690 154.81397 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 180 1.3238595 310.95641 -0.31197647 0.79995551 169.42518 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 184 0.82885701 292.84331 -0.0019828634 1.0156784 196.83251 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 185 1.3452582 281.09403 -0.16600051 0.96354778 192.36720 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 186 2.3703444 274.93779 -0.22710220 0.83032553 200.90162 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 201 0.69246154 284.22054 -0.13433366 1.0269953 146.30390 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 204 2.3741664 262.30771 -0.094482808 0.89283428 220.04217 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 206 2.6604500 284.27911 -0.19560148 0.91962386 204.38424 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 213 1.2301680 284.79547 -0.21627741 0.87948193 212.91257 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 235 0.44580597 266.57757 0.029997798 0.78221600 228.05009 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 257 1.2313494 272.45089 -0.21806665 1.1385929 178.86284 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 259 0.28018271 309.66267 -0.087265732 1.3094819 172.73842 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 260 3.3064782 278.50034 -0.38340864 0.84361264 198.20077 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 261 1.3833152 340.03267 -0.084687080 0.88539522 204.01428 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 265 0.91390157 309.11419 -0.22338636 1.0109686 123.67870 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 271 3.3652389 276.95521 -0.39490000 1.1028406 209.26022 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 276 0.87476297 282.94436 -0.39395724 0.83307252 218.73260 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 281 0.12008056 274.23608 -0.14227725 0.92438210 200.37651 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 284 0.69289379 249.67862 -0.20182258 1.0678115 185.10990 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 307 1.8220066 267.68723 -0.60061679 1.4263431 181.15251 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 4 308 0.82853520 326.27214 -0.36416814 0.94208318 172.42925 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 4 1.0412149 0.0052678472 -0.19080071 0.94992732 0.97717998 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.297704-0.1908010.023578 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 0 1.2043121 277.66623 -0.046512634 1.0904934 231.71754 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 6 3.9908621 188.20766 -0.13170466 0.93309605 201.86483 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 13 1.4305037 214.73820 -0.35701202 0.95870100 199.75372 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 18 1.2673842 205.59082 -0.21770587 0.92535330 241.16255 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 26 2.2038441 249.66529 -0.30115940 0.84945456 282.38403 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 52 0.74901228 188.44527 -0.043576367 1.2356274 218.69656 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 60 0.77606056 226.27728 -0.22147551 1.0676040 201.80297 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 63 1.0421334 201.62273 -0.19084978 1.1796101 222.56263 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 82 0.70427223 177.79613 0.096626366 1.2431957 196.77774 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 84 2.1363044 198.72715 -0.36451174 1.1278742 204.74429 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 109 0.44519903 203.94223 -0.15058209 1.1103410 225.70333 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 114 1.2351577 231.72276 -0.29956564 0.73738865 236.54544 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 131 0.84215124 222.21549 -0.26324768 1.0519950 216.19293 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 153 1.3012932 288.83210 -0.029743276 1.0877030 223.91444 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 176 0.71052903 284.19562 0.053531405 0.94648576 210.14325 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 180 1.4500386 270.01425 -0.13676992 0.97484496 224.43234 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 184 1.6262825 289.03303 -0.043330811 0.69767254 248.74756 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 185 1.3051919 287.42100 -0.48856202 0.83744448 189.32100 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 186 1.0331311 269.77914 -0.40236619 1.0823690 249.01994 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 201 1.6494792 284.46608 -0.21569493 1.0568472 184.63542 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 204 4.2389269 271.99519 -0.54513924 0.99222092 212.25523 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 206 0.57224474 267.81466 -0.21547698 0.99427821 239.18609 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 213 0.60410663 258.28047 -0.13912322 1.2568071 203.11399 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 235 0.86166947 261.41667 -0.099471704 0.85566157 260.73214 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 257 1.0394510 290.88897 -0.21741308 0.92349602 227.51829 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 259 2.3483521 316.01417 -0.11048550 0.88866124 237.48497 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 260 1.5016448 259.60306 -0.34963660 1.1684138 178.86549 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 261 1.3499625 303.55375 -0.28633923 0.92925756 270.37901 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 265 0.28304685 273.39995 -0.20383623 0.73682699 277.90024 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 271 4.2808387 279.58370 -0.083224254 0.91132427 244.59423 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 276 0.55782475 274.85507 0.023497395 1.0046920 206.10191 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 281 1.0672434 281.32838 -0.28897759 0.80297678 213.56245 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 284 0.40903213 258.29179 -0.11176980 0.87130317 257.31911 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 307 0.95892927 299.29592 -0.19477978 0.80555870 302.70846 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 5 308 1.1478767 297.81601 -0.17870623 1.3352025 228.82528 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 5 1.1868778 0.0026854932 -0.19262493 0.97791359 0.97354173 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.299529-0.1926250.020577 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 0 3.0418197 253.89853 -0.21257082 0.98172853 445.00761 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 6 1.1643827 152.99959 -0.32549738 1.1663420 361.03721 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 13 1.1403116 170.44573 -0.22285470 1.0070520 476.09992 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 18 1.1473464 169.68670 -0.25979209 0.95368453 452.45935 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 26 1.3489787 227.67112 -0.28848998 0.98147291 478.61276 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 52 1.9600794 173.23892 -0.30020708 1.0533781 455.97829 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 60 0.81480660 212.10403 -0.22122170 0.99522053 496.96907 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 63 0.67625946 194.14803 -0.25974645 1.0437512 437.97564 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 82 1.0646620 185.08971 -0.25179839 1.0079579 412.82005 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 84 2.7569847 166.57778 -0.38407176 1.0059898 463.42409 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 109 1.3462009 195.51230 -0.36493273 0.99160718 485.25349 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 114 0.66531836 205.84577 -0.19792115 0.86600835 481.70184 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 131 0.23817827 210.15138 -0.22388116 0.91361819 471.44910 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 153 1.7902852 287.92750 -0.26089141 0.95175373 440.74484 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 176 2.1877650 261.97218 -0.32201970 0.90228926 470.61093 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 180 0.70668653 235.69182 -0.25217955 0.93660449 533.31247 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 184 2.7461936 267.76848 -0.25215744 1.0468076 472.00260 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 185 0.59726854 233.45063 -0.32109994 1.0121422 432.81306 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 186 0.94820458 246.35733 -0.29174391 0.95075496 480.61645 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 201 0.50145771 242.51963 -0.26738922 0.91561288 488.74681 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 204 2.9029413 258.97370 -0.22790684 0.90228288 540.81351 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 206 1.5634149 257.51856 -0.38929592 0.92639512 497.01125 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 213 1.7421241 261.47222 -0.32890434 0.92226104 432.54595 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 235 1.3411933 241.01488 -0.15200230 1.0289960 482.27951 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 257 0.90277894 256.02265 -0.25375042 0.93221589 465.13255 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 259 1.9043842 278.08151 -0.18928586 0.88480443 490.88010 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 260 2.4493654 243.94941 -0.32130426 0.97465753 514.45836 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 261 0.61170187 283.38316 -0.29255629 0.94987375 414.51267 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 265 1.6766845 272.69293 -0.14366272 0.79731335 536.10784 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 271 1.1290333 243.59283 -0.10720562 0.96929601 491.06335 LOCATESKYLINES_2: sdR-r2-00034752.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 281 3.1621380 231.90952 -0.35005748 0.98403789 487.39092 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 284 0.99634494 246.73848 -0.28799325 0.96354945 471.72828 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 307 0.72357606 255.01083 -0.28962525 0.87287044 532.37180 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 6 308 1.0837681 291.80907 -0.20466946 0.98744838 474.85791 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 6 1.0981608 0.00054087070 -0.26147974 0.95854379 0.99400152 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.368383-0.2614800.010876 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 0 0.33758853 270.25591 -0.19353332 0.80663958 608.29076 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 6 0.78782322 160.62539 -0.20634372 0.93108655 568.26324 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 13 0.76999898 160.28523 -0.21170426 1.0192402 561.02701 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 18 0.90491874 183.11399 -0.26534406 0.92673990 590.36390 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 26 1.0181179 219.95556 -0.20277114 0.94177015 608.59207 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 52 3.4664047 172.25504 -0.28309394 1.0282132 556.28373 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 60 2.4815740 215.71156 -0.16037177 0.93622183 558.22788 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 63 0.36044417 189.35256 -0.18271064 0.89138033 626.14425 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 82 0.91621855 157.54222 -0.27388325 0.91849197 634.40461 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 84 1.4411311 183.51129 -0.14477458 0.91664211 547.85964 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 109 0.56788156 199.53523 -0.14262406 0.98767064 555.01990 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 114 0.81153700 203.88523 -0.15812309 0.88135482 600.59854 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 131 0.51042483 226.53461 -0.25359343 0.81122097 569.51938 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 153 1.0493737 266.84387 -0.18384410 0.95286423 615.91985 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 176 1.6671634 268.15051 -0.34857438 0.95364939 565.51597 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 180 1.4871821 245.33620 -0.21706897 0.89313117 616.82786 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 184 0.65819683 268.20877 -0.21512353 1.0215431 513.53446 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 185 1.1367135 248.23330 -0.37142866 0.90596807 568.83364 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 186 0.80473607 247.53214 -0.27858896 1.0156376 526.40571 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 201 0.94742441 247.36963 -0.38871594 0.93822246 603.15992 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 204 0.32787311 250.03818 -0.30890078 0.93065396 547.76786 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 206 0.22827071 287.02130 -0.28885383 0.88072101 583.67125 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 213 1.7855354 250.45017 -0.25627504 0.95271013 567.20474 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 235 0.24617588 278.65460 -0.14127539 0.78211358 577.89280 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 257 1.3471429 248.29883 -0.14373926 1.0107881 587.62221 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 259 2.6774913 300.90896 -0.23152479 0.92170642 574.34442 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 260 1.5661102 250.22399 -0.21370405 0.92858464 585.99911 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 261 1.0402838 296.08491 -0.27497754 0.93189806 585.10537 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 265 1.0010569 261.42615 -0.19386668 0.88107940 630.79690 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 271 0.72378387 244.87653 -0.27647543 0.94640817 624.07897 LOCATESKYLINES_2: sdR-r2-00034752.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 281 1.0482967 249.37432 -0.21947824 0.92508921 583.40771 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 284 2.1102840 229.71952 -0.38273651 0.94514210 580.27988 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 307 0.63998750 267.98652 -0.28665556 0.86798259 636.49482 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 7 308 1.9240264 292.23190 -0.20608286 0.88351886 596.67646 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 7 1.0376531 0.00015621973 -0.23930187 0.92834993 0.99283051 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.346206-0.2393020.009044 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 0 1.3549408 160.18242 -0.15488111 0.96865574 754.96146 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 6 1.3755242 71.728771 -0.14042955 0.91619861 680.38434 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 13 0.41909653 85.230621 -0.13313381 0.96389629 758.46873 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 18 0.64439771 113.39192 -0.18859117 0.95405721 670.85989 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 26 1.3727871 118.85746 -0.18068747 0.89087102 799.95251 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 52 0.64308418 115.04500 -0.21619919 0.94650114 702.31110 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 60 1.8209998 138.13082 -0.16143764 0.96873418 721.61048 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 63 0.85676703 116.91971 -0.16606761 0.97926888 663.06430 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 82 0.80439705 96.335949 -0.16633497 0.87237803 783.62400 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 84 0.32400940 82.633375 -0.32633493 0.85210876 859.20972 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 109 1.5018426 92.391917 -0.20309454 0.99765902 694.54388 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 114 1.1454627 98.738709 -0.17045737 0.87472852 788.07882 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 131 1.1369660 107.51877 -0.24156734 0.88168836 758.37450 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 153 0.96864259 145.57504 -0.21440774 0.94716740 730.40692 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 176 0.78364237 147.37776 -0.12946914 0.97256927 748.03114 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 180 1.9063277 146.37467 -0.23747095 0.95127536 753.70298 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 184 1.5045168 161.41293 -0.24113137 0.98373860 727.39138 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 185 0.89568857 155.12191 -0.15197579 0.92968010 750.92113 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 186 1.7220584 161.53414 -0.24913801 0.92301682 740.45615 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 201 0.17562148 138.17760 -0.28518962 0.88945024 763.63839 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 204 0.25166143 161.48009 -0.11711209 0.84303731 782.03275 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 206 0.77668130 156.10719 -0.099110627 0.88299719 734.43040 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 213 3.2707614 136.94249 -0.22289187 0.88430735 773.33299 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 235 4.8496411 131.03524 -0.18394142 0.90469817 752.02786 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 257 1.6163568 154.96071 -0.14629148 0.93004813 761.75902 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 259 3.7051276 182.33240 -0.13660751 0.87735028 749.24821 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 260 1.6466217 122.86319 -0.22521209 0.94963756 768.91141 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 261 1.8704106 150.68657 -0.24854621 0.93518789 783.46807 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 265 1.4562437 163.57372 -0.19157889 0.91627005 720.60482 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 271 1.3557814 142.98090 -0.17080700 0.90079728 765.93095 LOCATESKYLINES_2: sdR-r2-00034752.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 281 1.3581348 145.75901 -0.17695381 0.88435694 743.46513 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 284 2.1871963 129.66531 -0.12303306 0.91690345 775.66986 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 307 0.74568617 170.73391 -0.28446896 0.89171909 715.73387 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 8 308 0.49373790 177.76006 -0.20758553 0.87731938 760.54825 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 8 1.1354504 0.00022419804 -0.19010925 0.91917902 0.99630036 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.297013-0.1901090.006970 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 0 2.3921726 159.70343 -0.17872969 1.0077989 809.49722 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 6 1.0924732 95.756998 -0.22164578 0.91172746 805.76293 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 13 0.98880208 104.03110 -0.067118986 0.96787489 813.40669 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 18 2.2740718 108.23804 -0.28098160 0.95525574 820.07187 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 26 2.1940957 145.87958 -0.15290215 0.92332094 873.96255 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 52 1.5221006 126.64634 -0.25175502 0.98295308 849.70089 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 60 1.9600739 130.54022 -0.14023495 0.97606520 824.39240 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 63 0.18993843 103.07216 -0.21677325 0.99253016 800.46603 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 82 0.21671369 74.947780 -0.21820540 0.98211872 796.06961 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 84 0.99883838 91.862923 -0.21201898 0.91624693 860.39134 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 109 0.87662000 100.95978 -0.26246469 0.94139465 868.39841 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 114 0.81629474 105.69551 -0.15382335 0.91180764 815.18729 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 131 0.81810461 105.89555 -0.28690808 0.98034235 805.95449 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 153 1.1161006 122.86396 -0.25488668 1.0047707 901.34495 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 176 1.0073905 138.49854 -0.22094764 1.0152317 839.90793 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 180 2.2753465 158.35887 -0.21795565 0.93881877 848.90682 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 184 0.32051628 159.90316 -0.18754680 0.93670657 879.00163 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 185 1.9385836 160.81558 -0.24863299 0.90546678 870.47752 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 186 0.091207576 145.57173 -0.23395179 0.98175487 839.87635 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 201 2.1375668 149.88664 -0.22287985 0.98578246 791.56213 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 204 0.39876943 153.06651 -0.13424094 0.91596638 879.76537 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 206 0.50502455 163.15472 -0.21183274 0.93145474 816.17987 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 213 0.55035914 142.42394 -0.15167857 0.83561773 925.07451 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 235 2.4613344 156.54761 -0.21754517 0.91133275 858.00737 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 257 1.9625813 159.56074 -0.20983548 0.92963158 844.71833 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 259 1.6906002 175.57604 -0.20928334 0.93377789 827.57880 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 260 0.97227113 139.36342 -0.17766603 0.92613374 867.89129 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 261 0.61856137 172.16241 -0.22028059 0.89863018 811.52686 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 265 0.43994631 152.91792 -0.27012896 0.90048815 849.63879 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 271 1.9626436 157.63657 -0.14636983 0.93825195 851.76694 LOCATESKYLINES_2: sdR-r2-00034752.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 281 1.9208810 153.26302 -0.20586942 0.91991265 865.31297 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 284 1.9777977 127.77079 -0.26632580 0.94420504 824.15223 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 307 0.93514249 164.00902 -0.17387930 0.95456871 828.16933 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 9 308 1.6610732 185.68207 -0.23684822 0.89672505 873.64896 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 9 1.1000858 0.00042298918 -0.20623104 0.94082739 0.99759085 LOCATESKYLINES_2: sdR-r2-00034752.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034752.fit: comb2 l,chi^2/dof,fit: 9 1.0392095 0.00014156555 -0.20965378 0.94433668 0.99714540 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.316557-0.2096540.006485 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 0 2.0452476 92.962621 -0.16613288 0.93106851 762.90387 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 6 0.25907548 18.260888 -0.15872749 0.94455747 710.36483 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 13 1.4393220 51.702401 -0.10893600 0.95884570 744.17461 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 18 0.80187706 55.321256 -0.10892262 0.94435127 750.04205 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 26 4.0012854 46.967021 -0.21225383 1.0049726 797.62663 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 52 1.3130110 55.918505 -0.20125828 0.98677928 735.47162 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 60 1.0972961 54.118057 -0.24565291 1.0411358 762.67017 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 63 2.5635139 59.217294 -0.22489564 0.87641695 837.62851 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 82 1.1259223 16.096296 -0.20155114 1.0576322 726.47168 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 84 2.8234049 27.509015 -0.14780553 1.0310631 733.04254 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 109 0.48721900 48.343550 -0.16957123 1.1137980 730.20048 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 114 2.3990142 61.193259 -0.21592933 0.96889854 747.62723 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 131 0.88610696 31.919296 -0.16351561 0.92615750 815.24427 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 153 1.8783027 55.956586 -0.20897965 1.0255992 733.66471 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 176 0.67769733 89.296570 -0.16632187 0.96848529 784.99779 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 180 3.8129378 87.435829 -0.17810765 0.91560701 752.23449 LOCATESKYLINES_2: sdR-r2-00034752.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 185 2.0392924 96.320408 -0.083731201 0.95640789 737.71937 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 186 1.9607499 84.975054 -0.21186824 1.0354857 716.48161 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 201 0.59931789 91.015771 -0.16007626 0.89463572 757.93188 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 204 0.91058631 96.420618 -0.17281431 0.97572809 718.39780 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 206 2.7003301 86.444718 -0.16897767 1.0088781 765.10334 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 213 2.5529121 61.700723 -0.20913125 0.98368435 748.67401 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 235 0.67955656 63.000887 -0.21441970 0.90492004 789.77358 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 257 2.9538731 81.385624 -0.15280487 0.89645744 811.35059 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 259 3.6722127 98.325091 -0.13097206 0.89585097 769.03882 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 260 1.2507228 82.605621 -0.097178583 0.99140703 729.67705 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 261 2.1558210 110.78012 -0.15171384 0.88259039 769.35470 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 265 0.22106048 89.380264 -0.15525273 0.91867166 815.88120 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 271 3.4602268 95.879370 -0.16252430 0.90179511 742.00632 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 276 1.2975841 78.100807 -0.23086281 0.93084806 809.83335 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 281 2.4806150 97.065110 -0.19534897 0.93067768 760.21500 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 284 0.56247721 68.927371 -0.20357472 0.93557589 760.05081 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 307 0.80730699 107.12883 -0.15376356 0.96197749 753.07140 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 10 308 3.2946998 103.82171 -0.14876820 0.87905230 807.35576 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 10 1.4792490 0.00064052760 -0.17231889 0.95166176 0.99755958 LOCATESKYLINES_2: sdR-r2-00034752.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034752.fit: comb2 l,chi^2/dof,fit: 10 1.4176361 0.00065407115 -0.17443556 0.95441987 0.99641653 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.281339-0.1744360.006805 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 0 0.94954796 101.51629 -0.20961369 0.96166492 828.79981 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 6 0.55339362 29.375955 -0.15657854 0.94017626 866.80122 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 13 1.3731727 35.671658 -0.15176880 0.99413102 878.28361 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 18 0.61564541 34.042225 -0.15005564 0.99824544 826.22868 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 26 1.4523384 88.395934 -0.13943847 0.89169553 895.78962 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 52 1.0546565 45.572857 -0.083229131 1.0342092 882.78030 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 60 0.91454066 54.993091 -0.16581808 1.0822319 851.65658 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 63 0.52515979 59.043926 -0.12392428 0.97886995 874.72048 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 82 0.65440336 41.237393 -0.13626648 0.95175398 920.27134 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 84 0.72890132 32.079727 -0.17954535 0.99364793 872.48151 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 109 0.31220984 55.111782 -0.15506918 0.97193919 861.15951 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 114 1.6928010 44.938888 -0.13711288 1.0157021 905.59443 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 131 0.45329247 48.816424 -0.20549756 0.93015422 912.15437 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 153 1.1066614 70.587629 -0.21732529 0.92829508 897.02578 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 176 1.3412864 90.846527 -0.22444636 0.95358353 879.71094 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 180 2.4833258 102.45893 -0.19938721 0.87677940 900.27173 LOCATESKYLINES_2: sdR-r2-00034752.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 185 1.2143942 73.201055 -0.18047457 0.93471115 936.36061 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 186 3.4992740 89.666028 -0.12965594 0.97601050 867.48081 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 201 1.0775574 88.008682 -0.15665019 0.88826136 896.95084 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 204 0.59924647 71.433995 -0.20167727 0.98823527 871.15451 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 206 2.6949813 92.939818 -0.076600872 0.95693350 860.73186 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 213 0.76968592 87.410158 -0.17524292 0.88369944 896.81211 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 235 2.2346158 62.056959 -0.13813275 0.93489965 931.97211 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 257 3.3367303 103.08352 -0.24107102 0.89344162 909.13088 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 259 0.99310240 85.180420 -0.21984847 0.94691328 952.08655 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 260 1.8351114 75.417532 -0.19341648 0.90058152 875.84876 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 261 5.3213378 100.59767 -0.20153792 0.92033974 895.98394 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 265 1.8601056 85.783499 -0.14450850 0.91291219 885.66543 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 271 3.7110711 96.115417 -0.18100775 0.92381406 862.32884 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 276 1.9237766 96.619781 -0.21710340 0.89219726 925.55182 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 281 1.9329276 66.850972 -0.20092926 0.93784363 929.21443 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 284 0.69615249 98.250833 -0.14121877 0.93562012 838.71648 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 307 0.54034898 97.593313 -0.16738778 1.0138576 831.13021 LOCATESKYLINES_2: sdR-r2-00034752.fit: l,f,chi^2/dof,c: 11 308 1.5503968 120.15319 -0.16696339 0.90237300 883.71541 LOCATESKYLINES_2: sdR-r2-00034752.fit: comb1 l,chi^2/dof,fit: 11 1.3251906 0.00076820141 -0.17307919 0.94111107 0.99920410 LOCATESKYLINES_2: sdR-r2-00034752.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034752.fit: offset, refoff, sigma: -0.279983-0.1730790.006002 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 FITMEANX: sdR-r2-00034752.fit: In skyline number 0 std-dev is 0.025111843 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 1 std-dev is 0.043707907 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 2 std-dev is 0.065285802 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 3 std-dev is 0.048226571 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 4 std-dev is 0.045718494 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 5 std-dev is 0.054349359 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 6 std-dev is 0.041084914 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 7 std-dev is 0.037274452 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 8 std-dev is 0.041106592 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 9 std-dev is 0.042841086 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 10 std-dev is 0.039445922 pix FITMEANX: sdR-r2-00034752.fit: In skyline number 11 std-dev is 0.035798548 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 6300.3040 coadded std-dev is 0.00614602 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 6363.7760 coadded std-dev is 0.0158067 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 6553.6100 coadded std-dev is 0.0530472 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 6923.2100 coadded std-dev is 0.0267524 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 6949.0300 coadded std-dev is 0.0235782 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 7571.7500 coadded std-dev is 0.0205765 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 7794.1200 coadded std-dev is 0.0108759 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 7821.5100 coadded std-dev is 0.00904404 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 8399.1600 coadded std-dev is 0.00696964 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 8430.1700 coadded std-dev is 0.00648522 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 8885.8300 coadded std-dev is 0.00680453 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: In sky feature at 8919.6100 coadded std-dev is 0.00600175 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034752.fit: Median arc shift = -0.32653030 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: Dispersion in arc shift = 0.017263798 pix LOCATESKYLINES_2: sdR-r2-00034752.fit: Maximum sky-line shift is 0.34911776 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Number of sky fibers = 35 ROW NITER SIG(med) CHI^2 .0000 2 0.87 0.92 .0001 5 0.87 0.57 .0002 7 0.87 0.72 .0003 6 0.87 0.57 .0004 8 0.87 0.82 .0005 15 0.87 0.76 .0006 1 0.87 0.83 .0007 7 0.87 0.66 .0008 1 0.87 0.61 .0009 4 0.87 0.61 .0010 6 0.87 0.58 .0011 12 0.87 0.82 .0012 12 0.87 0.96 .0013 1 0.87 0.74 .0014 7 0.87 0.58 .0015 2 0.87 0.54 .0016 11 0.87 0.79 .0017 4 0.87 0.58 .0018 1 0.87 0.78 .0019 3 0.87 0.60 .0020 9 0.84 0.82 .0021 1 0.84 0.82 .0022 12 0.84 0.75 .0023 13 0.84 0.87 .0024 4 0.84 0.70 .0025 3 0.84 0.70 .0026 1 0.84 0.95 .0027 14 0.84 0.90 .0028 5 0.84 0.75 .0029 7 0.84 0.72 .0030 4 0.84 0.66 .0031 7 0.84 0.73 .0032 12 0.84 0.84 .0033 8 0.84 0.64 .0034 12 0.84 0.92 .0035 9 0.84 0.84 .0036 1 0.84 0.66 .0037 8 0.84 0.77 .0038 7 0.84 0.64 .0039 5 0.84 0.70 .0040 12 0.88 0.82 .0041 7 0.88 0.66 .0042 4 0.88 0.68 .0043 4 0.88 0.64 .0044 2 0.88 0.64 .0045 9 0.88 0.75 .0046 12 0.88 0.69 .0047 5 0.88 0.68 .0048 1 0.88 0.62 .0049 6 0.88 0.56 .0050 5 0.88 0.60 .0051 11 0.88 0.77 .0052 1 0.88 0.82 .0053 6 0.88 0.51 .0054 11 0.88 0.65 .0055 11 0.88 0.71 .0056 7 0.88 0.64 .0057 5 0.88 0.60 .0058 5 0.88 0.58 .0059 6 0.88 0.62 .0060 1 0.85 0.88 .0061 7 0.85 0.56 .0062 9 0.85 0.68 .0063 2 0.85 0.78 .0064 13 0.85 0.80 .0065 5 0.85 0.59 .0066 8 0.85 0.75 .0067 9 0.85 0.73 .0068 5 0.85 0.58 .0069 15 0.85 0.76 .0070 11 0.85 0.84 .0071 3 0.85 0.59 .0072 8 0.85 0.66 .0073 6 0.85 0.65 .0074 6 0.85 0.59 .0075 8 0.85 0.74 .0076 19 0.85 0.70 .0077 9 0.85 0.74 .0078 12 0.85 0.80 .0079 5 0.85 0.60 .0080 9 0.86 0.77 .0081 7 0.86 0.71 .0082 3 0.86 0.85 .0083 4 0.86 0.57 .0084 1 0.86 0.77 .0085 3 0.86 0.55 .0086 12 0.86 0.93 .0087 6 0.86 0.68 .0088 8 0.86 0.62 .0089 4 0.86 0.58 .0090 7 0.86 0.65 .0091 3 0.86 0.65 .0092 2 0.86 0.68 .0093 4 0.86 0.65 .0094 6 0.86 0.63 .0095 5 0.86 0.58 .0096 8 0.86 0.71 .0097 10 0.86 0.88 .0098 8 0.86 0.64 .0099 5 0.86 0.58 .0100 6 0.85 0.65 .0101 9 0.85 0.74 .0102 13 0.85 0.88 .0103 9 0.85 0.59 .0104 6 0.85 0.72 .0105 16 0.85 0.63 .0106 4 0.85 0.56 .0107 10 0.85 0.76 .0108 5 0.85 0.61 .0109 1 0.85 0.89 .0110 3 0.85 0.59 .0111 7 0.85 0.72 .0112 12 0.85 0.77 .0113 6 0.85 0.63 .0114 2 0.85 0.80 .0115 3 0.85 0.54 .0116 10 0.85 0.69 .0117 12 0.85 0.80 .0118 6 0.85 0.61 .0119 7 0.85 0.76 .0120 6 0.82 0.65 .0121 2 0.82 0.83 .0122 7 0.82 0.70 .0123 4 0.82 0.65 .0124 3 0.82 0.73 .0125 4 0.82 0.62 .0126 4 0.82 0.64 .0127 4 0.82 0.66 .0128 9 0.82 0.72 .0129 1 0.82 0.71 .0130 11 0.82 1.02 .0131 2 0.82 0.85 .0132 11 0.82 0.85 .0133 4 0.82 0.67 .0134 4 0.82 0.61 .0135 7 0.82 0.74 .0136 3 0.82 0.50 .0137 5 0.82 0.76 .0138 4 0.82 0.63 .0139 11 0.82 0.71 .0140 6 0.82 0.58 .0141 18 0.82 0.75 .0142 20 0.82 0.79 .0143 6 0.82 0.67 .0144 9 0.82 0.82 .0145 4 0.82 0.53 .0146 5 0.82 0.58 .0147 8 0.82 0.81 .0148 8 0.82 0.70 .0149 20 0.82 0.74 .0150 9 0.82 0.85 .0151 7 0.82 0.74 .0152 7 0.82 0.83 .0153 1 0.82 1.01 .0154 20 0.82 0.86 .0155 12 0.82 1.60 .0156 6 0.82 0.79 .0157 20 0.82 0.86 .0158 7 0.82 0.72 .0159 10 0.82 0.82 .0160 7 0.82 0.67 .0161 6 0.82 0.72 .0162 8 0.82 0.73 .0163 6 0.82 0.65 .0164 6 0.82 0.62 .0165 1 0.82 0.75 .0166 4 0.82 0.49 .0167 10 0.82 0.69 .0168 4 0.82 0.57 .0169 4 0.82 0.74 .0170 12 0.82 0.83 .0171 8 0.82 0.77 .0172 1 0.82 0.92 .0173 4 0.82 0.63 .0174 1 0.82 0.78 .0175 5 0.82 0.62 .0176 2 0.82 0.94 .0177 5 0.82 0.56 .0178 2 0.82 0.86 .0179 7 0.82 0.82 .0180 5 0.79 1.01 .0181 5 0.79 0.66 .0182 1 0.79 0.97 .0183 9 0.79 0.75 .0184 1 0.79 0.61 .0185 4 0.79 0.90 .0186 4 0.79 0.93 .0187 1 0.79 0.82 .0188 8 0.79 0.88 .0189 5 0.79 0.71 .0190 2 0.79 0.88 .0191 2 0.79 0.89 .0192 2 0.79 0.83 .0193 1 0.79 0.84 .0194 1 0.79 0.94 .0195 2 0.79 0.90 .0196 2 0.79 0.89 .0197 10 0.79 0.82 .0198 2 0.79 0.75 .0199 2 0.79 0.87 .0200 4 0.80 0.79 .0201 2 0.80 0.99 .0202 8 0.80 0.90 .0203 6 0.80 0.62 .0204 1 0.80 1.04 .0205 15 0.80 0.73 .0206 2 0.80 0.88 .0207 13 0.80 0.98 .0208 6 0.80 0.72 .0209 14 0.80 0.74 .0210 6 0.80 0.71 .0211 6 0.80 0.87 .0212 9 0.80 0.76 .0213 2 0.80 0.87 .0214 3 0.80 0.60 .0215 8 0.80 0.87 .0216 12 0.80 1.06 .0217 12 0.80 0.82 .0218 4 0.80 0.59 .0219 6 0.80 0.74 .0220 8 0.78 0.86 .0221 4 0.78 0.77 .0222 10 0.78 0.85 .0223 18 0.78 0.55 .0224 6 0.78 0.38 .0225 5 0.78 0.53 .0226 15 0.78 0.77 .0227 5 0.78 0.54 .0228 20 0.78 0.57 .0229 3 0.78 0.61 .0230 5 0.78 0.56 .0231 6 0.78 0.70 .0232 1 0.78 0.74 .0233 4 0.78 0.54 .0234 8 0.78 0.65 .0235 2 0.78 0.73 .0236 10 0.78 0.73 .0237 6 0.78 0.86 .0238 19 0.78 0.67 .0239 1 0.78 0.90 .0240 9 0.80 0.75 .0241 0 0.80 0.00 .0242 10 0.80 1.16 .0243 4 0.80 0.67 .0244 9 0.80 0.69 .0245 9 0.80 0.81 .0246 5 0.80 0.68 .0247 3 0.80 0.66 .0248 7 0.80 0.68 .0249 3 0.80 0.75 .0250 3 0.80 0.71 .0251 12 0.80 0.85 .0252 7 0.80 0.69 .0253 9 0.80 0.72 .0254 1 0.80 0.84 .0255 6 0.80 0.72 .0256 5 0.80 0.80 .0257 2 0.80 1.02 .0258 7 0.80 0.64 .0259 2 0.80 0.92 .0260 1 0.80 0.83 .0261 1 0.80 0.88 .0262 13 0.80 0.78 .0263 0 0.80 0.00 .0264 4 0.80 0.74 .0265 2 0.80 0.88 .0266 9 0.80 0.79 .0267 5 0.80 0.49 .0268 7 0.80 0.63 .0269 9 0.80 0.72 .0270 9 0.80 0.69 .0271 2 0.80 0.93 .0272 4 0.80 0.71 .0273 5 0.80 0.75 .0274 8 0.80 0.71 .0275 18 0.80 0.80 .0276 2 0.80 0.41 .0277 10 0.80 0.87 .0278 11 0.80 0.90 .0279 6 0.80 0.80 .0280 6 0.82 0.69 .0281 1 0.82 0.84 .0282 7 0.82 0.73 .0283 6 0.82 0.70 .0284 1 0.82 1.03 .0285 1 0.82 0.62 .0286 5 0.82 0.65 .0287 1 0.82 0.94 .0288 5 0.82 0.54 .0289 6 0.82 0.74 .0290 7 0.82 0.62 .0291 9 0.82 0.85 .0292 0 0.82 0.00 .0293 10 0.82 0.71 .0294 6 0.82 0.72 .0295 4 0.82 0.50 .0296 7 0.82 0.73 .0297 8 0.82 0.63 .0298 13 0.82 0.81 .0299 9 0.82 0.64 .0300 5 0.84 0.66 .0301 3 0.84 0.57 .0302 5 0.84 0.56 .0303 16 0.84 0.94 .0304 4 0.84 0.53 .0305 8 0.84 0.61 .0306 7 0.84 0.56 .0307 1 0.84 0.81 .0308 1 0.84 0.76 .0309 9 0.84 0.74 .0310 10 0.84 0.62 .0311 0 0.84 0.00 .0312 16 0.84 0.79 .0313 11 0.84 0.91 .0314 7 0.84 0.71 .0315 12 0.84 0.92 .0316 19 0.84 0.69 .0317 6 0.84 0.63 .0318 7 0.84 0.56 .0319 2 0.84 0.38 EXTRACT_IMAGE: sdR-r2-00034752.fit: masked 2141 pixels SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 0 median sigma(arc)= 0.92538109 sigma(sky)= 1.0972801 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 0 sigma^2(add)= 0.37391196 +/- 0.20927962 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 1 median sigma(arc)= 0.91722167 sigma(sky)= 1.0141014 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 1 sigma^2(add)= 0.15229877 +/- 0.47306761 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 2 median sigma(arc)= 0.89494818 sigma(sky)= -1077.6221 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 2 sigma^2(add)= 1180923.9 +/- 2804788.8 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 3 median sigma(arc)= 0.86115205 sigma(sky)= 1.3714918 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 3 sigma^2(add)= 1.1784693 +/- 0.47333956 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 4 median sigma(arc)= 0.85928190 sigma(sky)= 1.2073591 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 4 sigma^2(add)= 0.72922616 +/- 0.39451674 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 5 median sigma(arc)= 0.83484934 sigma(sky)= 0.78358830 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 5 sigma^2(add)= 0.13577729 +/- 0.56884964 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 6 median sigma(arc)= 0.83625028 sigma(sky)= 0.85051492 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 6 sigma^2(add)= 0.019594939 +/- 0.22180745 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 7 median sigma(arc)= 0.83681050 sigma(sky)= 0.84741528 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 7 sigma^2(add)= 0.015495984 +/- 0.21188576 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 8 median sigma(arc)= 0.86942321 sigma(sky)= 0.86873327 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 8 sigma^2(add)= 0.014054830 +/- 0.15727525 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 9 median sigma(arc)= 0.87234052 sigma(sky)= 0.90250113 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 9 sigma^2(add)= 0.12248006 +/- 0.17445180 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 10 median sigma(arc)= 0.92983556 sigma(sky)= 0.86571907 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 10 sigma^2(add)= -0.097168743 +/- 0.13065321 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 11 median sigma(arc)= 0.93522478 sigma(sky)= 0.88440208 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Line # 11 sigma^2(add)= -0.068783951 +/- 0.18021506 SKYLINE_DISPERSION: sdR-r2-00034752.fit: Flexure sigma^2(add) = 0.070868720 +/- 0.18885852 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034752.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034752.fit: Heliocentric correction = 22.838631 km/s FITVACSET: sdR-r2-00034752.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034752.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034752.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034752.fit: Number of pixels rejected: 5 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034752.fit: Number of sky fibers = 32 SKYSUBTRACT: sdR-r2-00034752.fit: Airmass range = 1.12137 1.14924 SKYSUBTRACT: sdR-r2-00034752.fit: Discarding 0.00282288 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 of 2046 Bin 50 of 2046 Bin 51 of 2046 Bin 52 of 2046 Bin 53 of 2046 Bin 54 of 2046 Bin 55 of 2046 Bin 56 of 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sdR-r2-00034752.fit: Max sky-residual chi2 = 7.11891 EXTRACT_OBJECT: sdR-r2-00034752.fit: Calling skysubtract again; masked skyfibers 6 259 SKYSUBTRACT: sdR-r2-00034752.fit: Number of sky fibers = 30 SKYSUBTRACT: sdR-r2-00034752.fit: Airmass range = 1.12137 1.14924 SKYSUBTRACT: sdR-r2-00034752.fit: Discarding 0.00278320 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 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of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034752.fit: Median sky-residual chi2 = 2.49149 SKYSUBTRACT: sdR-r2-00034752.fit: Max sky-residual chi2 = 7.07069 QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 1 = 18.4627 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 14 = -48.4548 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 19 = -41.0590 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 53 = -30.1383 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 61 = -11.4502 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 64 = -27.8724 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 83 = -45.5701 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 85 = -50.4427 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 110 = -37.3539 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 115 = -38.0502 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 132 = -23.6695 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 154 = 17.5761 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 177 = 20.9574 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 181 = 20.7561 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 186 = 15.6532 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 187 = 16.6314 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 202 = 10.4774 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 205 = 16.1130 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 207 = 17.3100 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 214 = 12.9323 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 258 = 21.5028 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 261 = 12.1327 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 266 = 21.2610 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 272 = 17.4429 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 308 = 26.6708 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 309 = 44.6332 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Median sky-residual chi = 1.56930 QAPLOT_SKYSUB: sdR-r2-00034752.fit: Max sky-residual chi = 2.97423 at 7606.8617 Ang SKYSUBTRACT: sdR-r2-00034752.fit: Number of sky fibers = 30 SKYSUBTRACT: sdR-r2-00034752.fit: Airmass range = 1.12137 1.14924 SKYSUBTRACT: sdR-r2-00034752.fit: Discarding 0.00278320 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 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Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034752.fit: Median sky-residual chi2 = 1.76676 SKYSUBTRACT: sdR-r2-00034752.fit: Max sky-residual chi2 = 5.56041 QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 1 = 45.0397 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 14 = -23.1192 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 19 = -16.7417 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 27 = 25.1404 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 83 = -29.5299 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 85 = -34.9230 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 110 = -26.1008 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 115 = -27.4740 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 132 = -15.3891 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 154 = 22.1016 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 177 = 20.9855 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 181 = 19.8347 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 186 = 13.9684 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 187 = 14.6917 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 205 = 10.2582 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 207 = 11.1587 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 282 = -15.1113 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 285 = -20.3437 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Warning: Median sky-sub flux in sky fiber 309 = 14.6332 electrons QAPLOT_SKYSUB: sdR-r2-00034752.fit: Median sky-residual chi = 1.32448 QAPLOT_SKYSUB: sdR-r2-00034752.fit: Max sky-residual chi = 2.36341 at 6563.5497 Ang QAPLOT_SKYLINE: sdR-r2-00034752.fit: Airmass range = 1.12 1.15 QAPLOT_SKYLINE: sdR-r2-00034752.fit: Flux dispersion for skyline 7343.0 = 6.15 % QAPLOT_SKYLINE: sdR-r2-00034752.fit: Airmass range = 1.12 1.15 QAPLOT_SKYLINE: sdR-r2-00034752.fit: Flux dispersion for skyline 8888.3 = 3.62 % SPADD_GUIDERINFO: sdR-r2-00034752.fit: Number of guider frames = 7 SPREDUCE: sdR-r2-00034752.fit: Elapsed time = 213. seconds SPREDUCE: sdR-r2-00034753.fit: Reading object sdR-r2-00034753.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034753.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034753.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034753.fit: Measured read-noise in DN for amp# 2 = 4.57474 SDSSPROC: sdR-r2-00034753.fit: Measured bias value in DN for amp# 2 = 470.097 SDSSPROC: sdR-r2-00034753.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034753.fit: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: sdR-r2-00034753.fit: Measured read-noise in DN for amp# 3 = 3.72063 SDSSPROC: sdR-r2-00034753.fit: Measured bias value in DN for amp# 3 = 1319.26 SDSSPROC: sdR-r2-00034753.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034753.fit: Amp #3 Number of pix below bias-5*sigma= 1299. DN is 0 SDSSPROC: sdR-r2-00034753.fit: Number of bleading columns = 2 SDSSPROC: sdR-r2-00034753.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034753.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034753.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034753.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034753.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034753.fit: Science 25-th-percentile = 384.929 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202 EXTRACT_OBJECT: sdR-r2-00034753.fit: Whopping fibers: 141 149 154 157 170 197 226 238 275 278 303 316 EXTRACT_OBJECT: sdR-r2-00034753.fit: Median counts in all fibers = 6414.95 EXTRACT_OBJECT: sdR-r2-00034753.fit: Number of bright fibers = 12 EXTRACT_OBJECT: sdR-r2-00034753.fit: Sky fiber median 1063.04 EXTRACT_OBJECT: sdR-r2-00034753.fit: 5% and 95% count levels 1011.16 15250.8 MATCH_TRACE: sdR-r2-00034753.fit: Iteration: 0 Pixels Rejected: 18213 Finished? 0 MATCH_TRACE: sdR-r2-00034753.fit: Iteration: 1 Pixels Rejected: 192 Finished? 0 MATCH_TRACE: sdR-r2-00034753.fit: Iteration: 2 Pixels Rejected: 40 Finished? 0 MATCH_TRACE: sdR-r2-00034753.fit: Iteration: 3 Pixels Rejected: 8 Finished? 0 MATCH_TRACE: sdR-r2-00034753.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 EXTRACT_OBJECT: sdR-r2-00034753.fit: Shifting traces by match_trace -0.0132446 EXTRACT_OBJECT: sdR-r2-00034753.fit: Extracting frame sdR-r2-00034753.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034753.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 3 0.91 2.76 .0004 3 0.91 2.47 .0005 1 0.91 2.53 .0006 1 0.91 2.52 .0007 1 0.91 2.57 .0008 3 0.91 2.59 .0009 2 0.91 2.75 .0010 2 0.91 2.75 .0011 3 0.91 2.70 .0012 2 0.91 2.88 .0013 1 0.91 2.93 .0014 2 0.91 2.77 .0015 1 0.91 2.82 .0016 3 0.91 2.75 .0017 3 0.91 2.73 .0018 2 0.91 2.86 .0019 3 0.91 3.05 .0020 4 0.91 3.07 .0021 2 0.91 3.07 .0022 1 0.91 2.99 .0023 3 0.91 2.89 .0024 1 0.91 3.08 .0025 2 0.91 2.95 .0026 2 0.91 2.85 .0027 1 0.91 3.03 .0028 1 0.91 3.02 .0029 1 0.91 3.15 .0030 1 0.91 3.04 .0031 2 0.91 3.14 .0032 3 0.91 3.17 .0033 2 0.91 3.14 .0034 2 0.91 3.03 .0035 2 0.91 3.38 .0036 2 0.91 3.22 .0037 2 0.91 3.58 .0038 1 0.91 3.50 .0039 2 0.91 3.46 .0040 4 0.91 3.26 .0041 2 0.91 3.39 .0042 2 0.91 3.53 .0043 2 0.91 3.13 .0044 2 0.91 3.17 .0045 2 0.91 3.09 .0046 3 0.91 3.22 .0047 3 0.91 3.25 .0048 2 0.91 3.15 .0049 2 0.91 3.10 .0050 2 0.91 3.17 .0051 2 0.91 3.35 .0052 2 0.91 3.56 .0053 3 0.91 3.20 .0054 2 0.91 3.38 .0055 2 0.91 3.17 .0056 2 0.91 3.15 .0057 2 0.91 3.20 .0058 3 0.91 3.08 .0059 2 0.91 3.26 .0060 2 0.91 3.15 .0061 2 0.91 3.31 .0062 2 0.91 3.36 .0063 2 0.91 3.71 .0064 4 0.91 3.43 .0065 2 0.91 3.44 .0066 2 0.91 3.49 .0067 2 0.91 3.31 .0068 3 0.91 3.57 .0069 3 0.91 3.42 .0070 2 0.91 3.55 .0071 2 0.91 3.44 .0072 3 0.91 3.60 .0073 2 0.91 3.60 .0074 2 0.91 3.37 .0075 4 0.91 3.53 .0076 2 0.91 4.01 .0077 2 0.91 3.71 .0078 2 0.91 3.53 .0079 2 0.91 3.49 .0080 3 0.91 3.70 .0081 2 0.91 3.95 .0082 3 0.91 3.59 .0083 3 0.91 3.69 .0084 3 0.91 3.54 .0085 4 0.91 3.34 .0086 3 0.91 3.51 .0087 2 0.91 3.34 .0088 2 0.91 3.54 .0089 2 0.91 3.58 .0090 2 0.91 3.66 .0091 3 0.91 3.84 .0092 3 0.91 3.62 .0093 3 0.91 3.58 .0094 2 0.91 3.75 .0095 3 0.91 3.61 .0096 4 0.91 3.33 .0097 2 0.91 3.76 .0098 2 0.91 3.58 .0099 2 0.91 3.53 .0100 3 0.91 3.80 .0101 2 0.91 3.89 .0102 3 0.91 3.64 .0103 3 0.91 3.55 .0104 2 0.91 3.97 .0105 3 0.91 3.47 .0106 3 0.91 3.57 .0107 3 0.91 3.55 .0108 3 0.91 3.77 .0109 3 0.91 3.51 .0110 3 0.91 3.64 .0111 3 0.91 3.64 .0112 3 0.91 3.71 .0113 3 0.91 3.60 .0114 3 0.91 3.55 .0115 3 0.91 3.44 .0116 3 0.91 3.51 .0117 4 0.91 3.70 .0118 3 0.91 3.69 .0119 3 0.91 3.65 .0120 3 0.91 3.56 .0121 2 0.91 3.98 .0122 2 0.91 3.72 .0123 4 0.91 3.51 .0124 3 0.91 3.56 .0125 3 0.91 3.58 .0126 2 0.91 3.72 .0127 3 0.91 3.52 .0128 2 0.91 3.65 .0129 2 0.91 3.65 .0130 2 0.91 3.71 .0131 3 0.91 3.69 .0132 3 0.91 4.24 .0133 2 0.91 4.00 .0134 2 0.91 3.71 .0135 2 0.91 4.05 .0136 2 0.91 3.68 .0137 3 0.91 3.71 .0138 2 0.91 3.72 .0139 2 0.91 4.05 .0140 2 0.91 3.83 .0141 2 0.91 3.84 .0142 2 0.91 4.11 .0143 2 0.91 3.62 .0144 3 0.91 3.92 .0145 3 0.91 3.82 .0146 2 0.91 3.95 .0147 3 0.91 3.96 .0148 3 0.91 4.05 .0149 2 0.91 4.30 .0150 2 0.91 4.02 .0151 3 0.91 3.99 .0152 2 0.91 4.14 .0153 2 0.91 4.20 .0154 2 0.91 4.06 .0155 2 0.91 4.26 .0156 2 0.91 4.16 .0157 2 0.91 4.29 .0158 2 0.91 4.44 .0159 2 0.91 4.41 .0160 2 0.91 4.28 .0161 2 0.91 4.40 .0162 2 0.91 4.27 .0163 2 0.91 4.48 .0164 2 0.91 4.34 .0165 2 0.91 4.82 .0166 2 0.91 4.81 .0167 2 0.91 4.35 .0168 2 0.91 4.46 .0169 2 0.91 4.60 .0170 2 0.91 4.65 .0171 2 0.91 4.79 .0172 2 0.91 5.06 .0173 2 0.91 5.10 .0174 2 0.91 4.79 .0175 2 0.91 4.85 .0176 3 0.91 4.99 .0177 2 0.91 4.79 .0178 2 0.91 4.80 .0179 2 0.91 5.04 .0180 3 0.91 5.03 .0181 3 0.91 4.68 .0182 3 0.91 5.38 .0183 3 0.91 5.02 .0184 2 0.91 5.07 .0185 2 0.91 5.14 .0186 3 0.91 5.20 .0187 2 0.91 5.38 .0188 2 0.91 5.37 .0189 2 0.91 5.16 .0190 2 0.91 5.26 .0191 2 0.91 5.12 .0192 2 0.91 5.26 .0193 2 0.91 5.18 .0194 2 0.91 5.09 .0195 3 0.91 5.97 .0196 2 0.91 5.61 .0197 2 0.91 5.57 .0198 3 0.91 5.33 .0199 3 0.91 5.45 .0200 1 0.91 5.86 .0201 1 0.91 5.63 .0202 1 0.91 5.71 .0203 1 0.91 5.51 .0204 1 0.91 5.68 .0205 1 0.91 5.48 .0206 1 0.91 5.46 .0207 2 0.91 5.88 .0208 3 0.91 5.43 .0209 1 0.91 5.55 .0210 2 0.91 5.59 .0211 1 0.91 5.40 .0212 1 0.91 5.49 .0213 1 0.91 5.28 .0214 1 0.91 5.44 .0215 2 0.91 5.43 .0216 3 0.91 5.62 .0217 1 0.91 5.58 .0218 2 0.91 5.25 .0219 2 0.91 5.25 .0220 1 0.91 5.39 .0221 1 0.91 5.32 .0222 1 0.91 4.94 .0223 1 0.91 5.04 .0224 1 0.91 5.00 .0225 1 0.91 5.11 .0226 2 0.91 5.13 .0227 4 0.91 5.04 .0228 1 0.91 5.25 .0229 2 0.91 5.09 .0230 2 0.91 5.44 .0231 2 0.91 5.06 .0232 2 0.91 5.23 .0233 2 0.91 5.17 .0234 1 0.91 5.09 .0235 2 0.91 4.82 .0236 2 0.91 4.78 .0237 5 0.91 5.21 .0238 2 0.91 5.42 .0239 2 0.91 4.99 .0240 2 0.91 5.02 .0241 2 0.91 5.08 .0242 1 0.91 5.12 .0243 1 0.91 4.91 .0244 3 0.91 4.94 .0245 1 0.91 5.01 .0246 1 0.91 4.98 .0247 1 0.91 5.25 .0248 1 0.91 5.44 .0249 1 0.91 5.11 .0250 2 0.91 5.18 .0251 2 0.91 5.17 .0252 2 0.91 5.53 .0253 2 0.91 5.20 .0254 2 0.91 5.20 .0255 1 0.91 5.15 .0256 1 0.91 4.98 .0257 3 0.91 5.16 .0258 3 0.91 4.95 .0259 1 0.91 5.06 .0260 1 0.91 5.25 .0261 1 0.91 5.04 .0262 1 0.91 5.33 .0263 1 0.91 5.24 .0264 1 0.91 5.17 .0265 1 0.91 5.37 .0266 2 0.91 5.16 .0267 1 0.91 5.21 .0268 1 0.91 5.42 .0269 1 0.91 5.61 .0270 1 0.91 5.77 .0271 3 0.91 5.58 .0272 2 0.91 5.30 .0273 2 0.91 5.59 .0274 1 0.91 5.59 .0275 2 0.91 5.49 .0276 1 0.91 5.74 .0277 1 0.91 5.51 .0278 1 0.91 5.50 .0279 1 0.91 5.42 .0280 1 0.91 5.64 .0281 1 0.91 5.67 .0282 1 0.91 6.00 .0283 2 0.91 5.63 .0284 2 0.91 5.59 .0285 1 0.91 5.70 .0286 2 0.91 5.60 .0287 2 0.91 6.04 .0288 3 0.91 6.47 .0289 3 0.91 5.75 .0290 1 0.91 6.03 .0291 2 0.91 6.07 .0292 2 0.91 6.22 .0293 1 0.91 5.95 .0294 1 0.91 6.05 .0295 2 0.91 6.29 .0296 3 0.91 6.72 .0297 3 0.91 6.32 .0298 1 0.91 6.35 .0299 1 0.91 6.70 .0300 3 0.91 6.28 .0301 1 0.91 6.46 .0302 4 0.91 6.12 .0303 2 0.91 6.77 .0304 2 0.91 6.30 .0305 2 0.91 6.21 .0306 1 0.91 6.76 .0307 2 0.91 6.32 .0308 1 0.91 6.56 .0309 2 0.91 6.26 .0310 3 0.91 6.12 .0311 3 0.91 6.71 .0312 1 0.91 6.41 .0313 2 0.91 6.59 .0314 2 0.91 6.54 .0315 1 0.91 6.44 .0316 1 0.91 6.28 .0317 1 0.91 6.51 .0318 1 0.91 6.31 .0319 1 0.91 6.71 .0320 1 0.91 6.44 .0321 1 0.91 6.66 .0322 1 0.91 6.70 .0323 2 0.91 6.25 .0324 1 0.91 6.60 .0325 1 0.91 6.55 .0326 2 0.91 7.47 .0327 1 0.91 7.02 .0328 2 0.91 6.04 .0329 2 0.91 6.36 .0330 2 0.91 6.54 .0331 3 0.91 6.29 .0332 3 0.91 6.16 .0333 3 0.91 6.36 .0334 2 0.91 6.18 .0335 2 0.91 6.00 .0336 2 0.91 6.18 .0337 2 0.91 6.06 .0338 2 0.91 6.26 .0339 2 0.91 6.17 .0340 2 0.91 6.29 .0341 2 0.91 5.96 .0342 2 0.91 6.41 .0343 2 0.91 6.64 .0344 2 0.91 6.74 .0345 2 0.91 6.23 .0346 2 0.91 6.23 .0347 2 0.91 6.09 .0348 2 0.91 6.35 .0349 2 0.91 6.38 .0350 2 0.91 6.12 .0351 2 0.91 6.39 .0352 2 0.91 6.03 .0353 2 0.91 6.08 .0354 2 0.91 5.94 .0355 2 0.91 6.29 .0356 3 0.91 6.36 .0357 3 0.91 6.04 .0358 2 0.91 6.11 .0359 2 0.91 6.45 .0360 3 0.91 6.40 .0361 2 0.91 6.11 .0362 2 0.91 6.33 .0363 2 0.91 6.12 .0364 2 0.91 5.93 .0365 2 0.91 6.36 .0366 2 0.91 6.06 .0367 2 0.91 6.11 .0368 2 0.91 6.19 .0369 2 0.91 6.10 .0370 2 0.91 6.15 .0371 2 0.91 5.98 .0372 2 0.91 6.27 .0373 3 0.91 6.62 .0374 3 0.91 6.45 .0375 2 0.91 6.11 .0376 2 0.91 6.14 .0377 2 0.91 6.09 .0378 3 0.91 6.57 .0379 2 0.91 6.32 .0380 3 0.91 6.27 .0381 3 0.91 6.35 .0382 2 0.91 6.58 .0383 3 0.91 6.25 .0384 3 0.91 6.65 .0385 3 0.91 6.29 .0386 2 0.91 6.64 .0387 2 0.91 6.16 .0388 2 0.91 6.23 .0389 2 0.91 6.38 .0390 2 0.91 6.12 .0391 2 0.91 6.49 .0392 3 0.91 6.19 .0393 2 0.91 6.57 .0394 2 0.91 6.30 .0395 3 0.91 6.34 .0396 2 0.91 6.53 .0397 2 0.91 6.50 .0398 3 0.91 6.04 .0399 3 0.91 6.32 .0400 4 0.91 6.10 .0401 2 0.91 6.88 .0402 3 0.91 6.37 .0403 3 0.91 5.94 .0404 3 0.91 5.83 .0405 3 0.91 6.08 .0406 3 0.91 6.26 .0407 3 0.91 6.15 .0408 3 0.91 6.00 .0409 3 0.91 6.23 .0410 3 0.91 6.23 .0411 3 0.91 5.93 .0412 3 0.91 5.95 .0413 3 0.91 6.05 .0414 4 0.91 5.90 .0415 3 0.91 5.97 .0416 3 0.91 6.16 .0417 3 0.91 6.31 .0418 3 0.91 5.95 .0419 3 0.91 6.15 .0420 3 0.91 6.24 .0421 3 0.91 6.02 .0422 3 0.91 5.82 .0423 3 0.91 5.69 .0424 2 0.91 6.35 .0425 2 0.91 5.93 .0426 2 0.91 5.89 .0427 2 0.91 5.91 .0428 2 0.91 5.69 .0429 2 0.91 5.74 .0430 2 0.91 5.85 .0431 2 0.91 5.71 .0432 2 0.91 5.92 .0433 2 0.91 5.88 .0434 2 0.91 5.67 .0435 2 0.91 6.18 .0436 2 0.91 5.78 .0437 2 0.91 6.27 .0438 3 0.91 5.76 .0439 3 0.91 5.87 .0440 2 0.91 6.03 .0441 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2 0.95 2.69 .1885 3 0.95 2.72 .1886 3 0.95 2.77 .1887 3 0.95 2.94 .1888 1 0.95 2.78 .1889 1 0.95 2.75 .1890 3 0.95 3.00 .1891 1 0.95 2.75 .1892 1 0.95 2.65 .1893 1 0.95 2.81 .1894 1 0.95 2.80 .1895 1 0.95 2.75 .1896 1 0.95 2.61 .1897 2 0.95 2.66 .1898 2 0.95 2.94 .1899 1 0.95 2.79 .1900 1 0.95 2.82 .1901 3 0.95 2.83 .1902 3 0.95 2.60 .1903 3 0.95 2.69 .1904 3 0.95 2.62 .1905 2 0.95 2.60 .1906 1 0.95 2.63 .1907 2 0.95 2.74 .1908 2 0.95 2.63 .1909 3 0.95 2.64 .1910 2 0.95 2.42 .1911 2 0.95 2.54 .1912 2 0.95 2.63 .1913 2 0.95 2.65 .1914 3 0.95 2.38 .1915 2 0.95 2.46 .1916 3 0.95 2.36 .1917 3 0.95 2.38 .1918 3 0.95 2.41 .1919 1 0.95 2.48 .1920 3 0.95 2.30 .1921 2 0.95 2.55 .1922 1 0.95 2.42 .1923 2 0.95 2.59 .1924 2 0.95 2.47 .1925 1 0.95 2.47 .1926 1 0.95 2.34 .1927 1 0.95 2.45 .1928 1 0.95 2.43 .1929 3 0.95 2.27 .1930 1 0.95 2.53 .1931 2 0.95 2.49 .1932 2 0.95 2.60 .1933 3 0.95 2.52 .1934 2 0.95 2.58 .1935 3 0.95 2.39 .1936 2 0.95 2.43 .1937 2 0.95 2.58 .1938 1 0.95 2.61 .1939 3 0.95 2.62 .1940 3 0.95 2.62 .1941 2 0.95 2.59 .1942 1 0.95 2.53 .1943 1 0.95 2.59 .1944 4 0.95 2.51 .1945 2 0.95 3.00 .1946 2 0.95 2.76 .1947 2 0.95 2.98 .1948 2 0.95 2.74 .1949 3 0.95 2.59 .1950 2 0.95 2.59 .1951 2 0.95 2.45 .1952 2 0.95 2.40 .1953 5 0.95 2.67 .1954 3 0.95 2.47 .1955 2 0.95 2.72 .1956 1 0.95 2.68 .1957 2 0.95 2.55 .1958 3 0.95 2.42 .1959 1 0.95 2.52 .1960 1 0.95 2.47 .1961 1 0.95 2.50 .1962 2 0.95 2.30 .1963 3 0.95 2.66 .1964 2 0.95 2.77 .1965 2 0.95 2.68 .1966 2 0.95 2.45 .1967 2 0.95 2.57 .1968 3 0.95 2.41 .1969 3 0.95 2.41 .1970 1 0.95 2.70 .1971 3 0.95 2.47 .1972 2 0.95 2.49 .1973 1 0.95 2.62 .1974 2 0.95 2.68 .1975 1 0.95 2.47 .1976 1 0.95 2.60 .1977 2 0.95 2.44 .1978 1 0.95 2.46 .1979 1 0.95 2.45 .1980 1 0.95 2.45 .1981 2 0.95 2.55 .1982 2 0.95 2.44 .1983 1 0.95 2.45 .1984 2 0.95 2.46 .1985 1 0.95 2.44 .1986 2 0.95 2.33 .1987 3 0.95 2.60 .1988 3 0.95 2.45 .1989 1 0.95 2.65 .1990 1 0.95 2.32 .1991 2 0.95 2.40 .1992 1 0.95 2.44 .1993 2 0.95 2.42 .1994 1 0.95 2.37 .1995 3 0.95 2.55 .1996 2 0.95 2.43 .1997 2 0.95 2.37 .1998 3 0.95 2.25 .1999 3 0.95 2.15 .2000 2 0.95 2.28 .2001 2 0.95 2.42 .2002 2 0.95 2.39 .2003 2 0.95 2.32 .2004 2 0.95 2.45 .2005 2 0.95 2.31 .2006 1 0.95 2.49 .2007 1 0.95 2.37 .2008 1 0.95 2.24 .2009 1 0.95 2.34 .2010 2 0.95 2.44 .2011 1 0.95 2.35 .2012 2 0.95 2.25 .2013 2 0.95 2.63 .2014 3 0.95 2.46 .2015 2 0.95 2.31 .2016 1 0.95 2.43 .2017 1 0.95 2.43 .2018 1 0.95 2.33 .2019 1 0.95 2.38 .2020 1 0.95 2.37 .2021 2 0.95 2.20 .2022 1 0.95 2.48 .2023 2 0.95 2.28 .2024 1 0.95 2.29 .2025 1 0.95 2.36 .2026 1 0.95 2.43 .2027 2 0.95 2.33 .2028 3 0.95 2.46 .2029 2 0.95 2.56 .2030 3 0.95 2.34 .2031 3 0.95 2.32 .2032 3 0.95 2.22 .2033 3 0.95 2.22 .2034 2 0.95 2.30 .2035 2 0.95 2.41 .2036 2 0.95 2.41 .2037 1 0.95 2.17 .2038 3 0.95 2.21 .2039 3 0.95 2.20 .2040 1 0.95 2.24 .2041 1 0.95 2.31 .2042 2 0.95 2.07 .2043 1 0.95 2.10 .2044 1 0.95 2.16 .2045 1 0.95 2.10 .2046 1 0.95 2.07 .2047 2 0.95 2.24 EXTRACT_IMAGE: sdR-r2-00034753.fit: masked 2255 pixels EXTRACT_OBJECT: sdR-r2-00034753.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034753.fit: WARNING: Scattered light median = 101.136 electrons QAPLOT_SCATLIGHT: sdR-r2-00034753.fit: WARNING: Scattered light max = 171.348 electrons EXTRACT_OBJECT: sdR-r2-00034753.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034753.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034753.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034753.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.15 Step 12 of 2112 0.58 96 0.02 0.16 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.59 96 0.02 0.17 Step 36 of 2112 0.59 96 0.02 0.15 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.16 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.18 Step 76 of 2112 0.59 96 0.02 0.18 Step 84 of 2112 0.59 96 0.02 0.16 Step 92 of 2112 0.59 96 0.02 0.17 Step 100 of 2112 0.60 96 0.02 0.16 Step 108 of 2112 0.60 96 0.02 0.16 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.18 Step 132 of 2112 0.60 96 0.01 0.17 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.14 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.61 96 0.02 0.15 Step 172 of 2112 0.61 96 0.02 0.16 Step 180 of 2112 0.61 96 0.02 0.16 Step 188 of 2112 0.61 96 0.02 0.15 Step 196 of 2112 0.61 96 0.02 0.14 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.15 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.62 96 0.02 0.15 Step 236 of 2112 0.62 96 0.02 0.16 Step 244 of 2112 0.62 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.16 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.14 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.63 96 0.02 0.15 Step 300 of 2112 0.63 96 0.02 0.15 Step 308 of 2112 0.63 96 0.02 0.14 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.16 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.14 Step 356 of 2112 0.63 96 0.03 0.15 Step 364 of 2112 0.64 96 0.02 0.14 Step 372 of 2112 0.64 96 0.02 0.14 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.14 Step 396 of 2112 0.64 96 0.03 0.15 Step 404 of 2112 0.64 96 0.02 0.14 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.03 0.18 Step 428 of 2112 0.65 96 0.02 0.15 Step 436 of 2112 0.65 96 0.02 0.14 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.14 Step 476 of 2112 0.65 96 0.02 0.14 Step 484 of 2112 0.65 96 0.02 0.14 Step 492 of 2112 0.66 96 0.02 0.15 Step 500 of 2112 0.66 96 0.03 0.14 Step 508 of 2112 0.66 96 0.02 0.16 Step 516 of 2112 0.66 96 0.02 0.16 Step 524 of 2112 0.66 96 0.02 0.15 Step 532 of 2112 0.66 96 0.02 0.15 Step 540 of 2112 0.66 96 0.02 0.15 Step 548 of 2112 0.67 96 0.02 0.15 Step 556 of 2112 0.67 96 0.02 0.14 Step 564 of 2112 0.67 96 0.02 0.14 Step 572 of 2112 0.67 96 0.02 0.15 Step 580 of 2112 0.67 96 0.02 0.16 Step 588 of 2112 0.67 96 0.02 0.15 Step 596 of 2112 0.67 96 0.02 0.14 Step 604 of 2112 0.67 96 0.02 0.14 Step 612 of 2112 0.68 96 0.02 0.14 Step 620 of 2112 0.68 96 0.02 0.14 Step 628 of 2112 0.68 96 0.02 0.15 Step 636 of 2112 0.68 96 0.02 0.15 Step 644 of 2112 0.68 128 0.03 0.21 Step 652 of 2112 0.68 128 0.03 0.20 Step 660 of 2112 0.68 128 0.02 0.20 Step 668 of 2112 0.68 128 0.02 0.20 Step 676 of 2112 0.69 128 0.02 0.20 Step 684 of 2112 0.69 128 0.02 0.20 Step 692 of 2112 0.69 128 0.03 0.19 Step 700 of 2112 0.69 128 0.02 0.23 Step 708 of 2112 0.69 128 0.03 0.24 Step 716 of 2112 0.69 128 0.02 0.22 Step 724 of 2112 0.69 128 0.03 0.21 Step 732 of 2112 0.69 128 0.03 0.22 Step 740 of 2112 0.70 128 0.03 0.22 Step 748 of 2112 0.70 128 0.02 0.20 Step 756 of 2112 0.70 128 0.02 0.21 Step 764 of 2112 0.70 128 0.02 0.20 Step 772 of 2112 0.70 128 0.03 0.21 Step 780 of 2112 0.70 128 0.03 0.21 Step 788 of 2112 0.70 128 0.03 0.19 Step 796 of 2112 0.71 128 0.03 0.22 Step 804 of 2112 0.71 128 0.03 0.21 Step 812 of 2112 0.71 128 0.02 0.20 Step 820 of 2112 0.71 128 0.02 0.22 Step 828 of 2112 0.71 128 0.03 0.20 Step 836 of 2112 0.71 128 0.03 0.20 Step 844 of 2112 0.71 128 0.03 0.22 Step 852 of 2112 0.71 128 0.03 0.22 Step 860 of 2112 0.72 128 0.03 0.21 Step 868 of 2112 0.72 128 0.03 0.21 Step 876 of 2112 0.72 128 0.04 0.21 Step 884 of 2112 0.72 128 0.03 0.20 Step 892 of 2112 0.72 128 0.02 0.21 Step 900 of 2112 0.72 128 0.04 0.23 Step 908 of 2112 0.72 128 0.04 0.22 Step 916 of 2112 0.73 128 0.04 0.23 Step 924 of 2112 0.73 128 0.03 0.22 Step 932 of 2112 0.73 128 0.03 0.20 Step 940 of 2112 0.73 128 0.03 0.21 Step 948 of 2112 0.73 128 0.03 0.22 Step 956 of 2112 0.73 128 0.03 0.20 Step 964 of 2112 0.73 128 0.03 0.20 Step 972 of 2112 0.73 128 0.02 0.19 Step 980 of 2112 0.74 128 0.03 0.21 Step 988 of 2112 0.74 128 0.03 0.21 Step 996 of 2112 0.74 128 0.03 0.21 Step 1004 of 2112 0.74 128 0.02 0.20 Step 1012 of 2112 0.74 128 0.02 0.20 Step 1020 of 2112 0.74 128 0.03 0.23 Step 1028 of 2112 0.74 128 0.02 0.19 Step 1036 of 2112 0.75 128 0.02 0.20 Step 1044 of 2112 0.75 128 0.02 0.20 Step 1052 of 2112 0.75 128 0.02 0.21 Step 1060 of 2112 0.75 128 0.03 0.20 Step 1068 of 2112 0.75 128 0.03 0.21 Step 1076 of 2112 0.75 128 0.02 0.20 Step 1084 of 2112 0.75 128 0.03 0.21 Step 1092 of 2112 0.75 160 0.03 0.33 Step 1100 of 2112 0.76 160 0.04 0.35 Step 1108 of 2112 0.76 160 0.03 0.33 Step 1116 of 2112 0.76 160 0.03 0.35 Step 1124 of 2112 0.76 160 0.02 0.33 Step 1132 of 2112 0.76 160 0.03 0.32 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.03 0.32 Step 1156 of 2112 0.77 160 0.04 0.33 Step 1164 of 2112 0.77 160 0.03 0.32 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.32 Step 1188 of 2112 0.77 160 0.03 0.34 Step 1196 of 2112 0.77 160 0.03 0.33 Step 1204 of 2112 0.77 160 0.03 0.35 Step 1212 of 2112 0.78 160 0.03 0.33 Step 1220 of 2112 0.78 160 0.03 0.32 Step 1228 of 2112 0.78 160 0.03 0.32 Step 1236 of 2112 0.78 160 0.03 0.32 Step 1244 of 2112 0.78 160 0.03 0.34 Step 1252 of 2112 0.78 160 0.03 0.34 Step 1260 of 2112 0.78 160 0.06 0.37 Step 1268 of 2112 0.78 160 0.03 0.33 Step 1276 of 2112 0.79 160 0.03 0.34 Step 1284 of 2112 0.79 160 0.04 0.37 Step 1292 of 2112 0.79 160 0.03 0.34 Step 1300 of 2112 0.79 160 0.03 0.33 Step 1308 of 2112 0.79 160 0.03 0.33 Step 1316 of 2112 0.79 160 0.03 0.33 Step 1324 of 2112 0.79 160 0.03 0.32 Step 1332 of 2112 0.80 160 0.03 0.33 Step 1340 of 2112 0.80 160 0.02 0.33 Step 1348 of 2112 0.80 160 0.03 0.34 Step 1356 of 2112 0.80 160 0.03 0.33 Step 1364 of 2112 0.80 160 0.03 0.34 Step 1372 of 2112 0.80 160 0.03 0.34 Step 1380 of 2112 0.80 160 0.03 0.32 Step 1388 of 2112 0.81 160 0.03 0.32 Step 1396 of 2112 0.81 160 0.03 0.34 Step 1404 of 2112 0.81 160 0.03 0.32 Step 1412 of 2112 0.81 160 0.03 0.32 Step 1420 of 2112 0.81 160 0.03 0.33 Step 1428 of 2112 0.81 160 0.03 0.32 Step 1436 of 2112 0.81 160 0.03 0.32 Step 1444 of 2112 0.82 160 0.03 0.32 Step 1452 of 2112 0.82 192 0.04 0.37 Step 1460 of 2112 0.82 192 0.04 0.37 Step 1468 of 2112 0.82 192 0.04 0.38 Step 1476 of 2112 0.82 192 0.03 0.36 Step 1484 of 2112 0.82 192 0.03 0.37 Step 1492 of 2112 0.82 192 0.04 0.38 Step 1500 of 2112 0.83 192 0.04 0.38 Step 1508 of 2112 0.83 192 0.03 0.37 Step 1516 of 2112 0.83 192 0.02 0.35 Step 1524 of 2112 0.83 192 0.04 0.36 Step 1532 of 2112 0.83 192 0.04 0.37 Step 1540 of 2112 0.83 192 0.04 0.42 Step 1548 of 2112 0.83 192 0.04 0.38 Step 1556 of 2112 0.83 192 0.02 0.37 Step 1564 of 2112 0.84 192 0.02 0.36 Step 1572 of 2112 0.84 192 0.03 0.37 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.03 0.36 Step 1596 of 2112 0.84 192 0.04 0.37 Step 1604 of 2112 0.84 192 0.04 0.37 Step 1612 of 2112 0.84 192 0.04 0.38 Step 1620 of 2112 0.85 192 0.05 0.41 Step 1628 of 2112 0.85 192 0.04 0.37 Step 1636 of 2112 0.85 192 0.04 0.37 Step 1644 of 2112 0.85 192 0.03 0.38 Step 1652 of 2112 0.85 192 0.02 0.39 Step 1660 of 2112 0.85 192 0.03 0.42 Step 1668 of 2112 0.85 192 0.03 0.44 Step 1676 of 2112 0.86 192 0.04 0.39 Step 1684 of 2112 0.86 192 0.03 0.40 Step 1692 of 2112 0.86 192 0.02 0.38 Step 1700 of 2112 0.86 192 0.04 0.40 Step 1708 of 2112 0.86 192 0.02 0.38 Step 1716 of 2112 0.86 192 0.03 0.37 Step 1724 of 2112 0.86 192 0.02 0.36 Step 1732 of 2112 0.87 192 0.02 0.36 Step 1740 of 2112 0.87 224 0.02 0.46 Step 1748 of 2112 0.87 224 0.04 0.47 Step 1756 of 2112 0.87 224 0.05 0.47 Step 1764 of 2112 0.87 224 0.04 0.47 Step 1772 of 2112 0.87 224 0.04 0.47 Step 1780 of 2112 0.87 224 0.04 0.49 Step 1788 of 2112 0.88 224 0.03 0.50 Step 1796 of 2112 0.88 224 0.03 0.49 Step 1804 of 2112 0.88 224 0.05 0.46 Step 1812 of 2112 0.88 224 0.04 0.47 Step 1820 of 2112 0.88 224 0.04 0.46 Step 1828 of 2112 0.88 224 0.04 0.48 Step 1836 of 2112 0.88 224 0.04 0.49 Step 1844 of 2112 0.89 224 0.04 0.48 Step 1852 of 2112 0.89 224 0.04 0.48 Step 1860 of 2112 0.89 224 0.04 0.49 Step 1868 of 2112 0.89 224 0.04 0.48 Step 1876 of 2112 0.89 224 0.04 0.49 Step 1884 of 2112 0.89 224 0.04 0.48 Step 1892 of 2112 0.89 224 0.05 0.48 Step 1900 of 2112 0.90 224 0.04 0.49 Step 1908 of 2112 0.90 224 0.05 0.52 Step 1916 of 2112 0.90 224 0.04 0.48 Step 1924 of 2112 0.90 224 0.05 0.53 Step 1932 of 2112 0.90 224 0.04 0.48 Step 1940 of 2112 0.90 224 0.04 0.49 Step 1948 of 2112 0.90 224 0.04 0.47 Step 1956 of 2112 0.91 224 0.04 0.47 Step 1964 of 2112 0.91 224 0.06 0.51 Step 1972 of 2112 0.91 224 0.05 0.49 Step 1980 of 2112 0.91 224 0.05 0.49 Step 1988 of 2112 0.91 224 0.05 0.50 Step 1996 of 2112 0.91 256 0.05 0.52 Step 2004 of 2112 0.91 256 0.05 0.51 Step 2012 of 2112 0.92 256 0.05 0.52 Step 2020 of 2112 0.92 256 0.05 0.54 Step 2028 of 2112 0.92 256 0.05 0.50 Step 2036 of 2112 0.92 256 0.05 0.49 Step 2044 of 2112 0.92 256 0.06 0.50 Step 2052 of 2112 0.92 256 0.05 0.53 Step 2060 of 2112 0.92 256 0.05 0.50 Step 2068 of 2112 0.93 256 0.05 0.53 Step 2076 of 2112 0.93 256 0.05 0.51 Step 2084 of 2112 0.93 256 0.05 0.55 Step 2092 of 2112 0.93 256 0.04 0.56 Step 2100 of 2112 0.93 256 0.04 0.50 Step 2108 of 2112 0.93 256 0.03 0.52 EXTRACT_OBJECT: sdR-r2-00034753.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 3 0.91 2.73 .0004 3 0.91 2.44 .0005 1 0.91 2.49 .0006 1 0.91 2.48 .0007 1 0.91 2.53 .0008 3 0.91 2.54 .0009 2 0.91 2.71 .0010 2 0.91 2.70 .0011 3 0.91 2.65 .0012 3 0.91 2.66 .0013 1 0.91 2.87 .0014 2 0.91 2.72 .0015 1 0.91 2.76 .0016 3 0.91 2.70 .0017 3 0.91 2.68 .0018 2 0.91 2.80 .0019 3 0.91 2.99 .0020 4 0.91 3.01 .0021 2 0.91 3.01 .0022 1 0.91 2.93 .0023 2 0.91 2.82 .0024 1 0.91 3.02 .0025 2 0.91 2.89 .0026 2 0.91 2.79 .0027 1 0.91 2.97 .0028 1 0.91 2.96 .0029 1 0.91 3.08 .0030 1 0.91 2.98 .0031 2 0.91 3.06 .0032 3 0.91 3.10 .0033 2 0.91 3.07 .0034 2 0.91 2.97 .0035 2 0.91 3.31 .0036 2 0.91 3.14 .0037 2 0.91 3.50 .0038 1 0.91 3.42 .0039 2 0.91 3.39 .0040 4 0.91 3.19 .0041 2 0.91 3.31 .0042 2 0.91 3.45 .0043 2 0.91 3.06 .0044 2 0.91 3.09 .0045 2 0.91 3.02 .0046 3 0.91 3.15 .0047 3 0.91 3.17 .0048 2 0.91 3.07 .0049 2 0.91 3.02 .0050 2 0.91 3.09 .0051 2 0.91 3.27 .0052 2 0.91 3.48 .0053 3 0.91 3.13 .0054 2 0.91 3.30 .0055 2 0.91 3.09 .0056 2 0.91 3.07 .0057 2 0.91 3.13 .0058 3 0.91 2.99 .0059 2 0.91 3.18 .0060 2 0.91 3.07 .0061 2 0.91 3.22 .0062 2 0.91 3.27 .0063 2 0.91 3.61 .0064 3 0.91 3.34 .0065 2 0.91 3.35 .0066 2 0.91 3.40 .0067 2 0.91 3.23 .0068 3 0.91 3.48 .0069 3 0.91 3.33 .0070 2 0.91 3.46 .0071 2 0.91 3.35 .0072 3 0.91 3.51 .0073 3 0.91 3.22 .0074 2 0.91 3.28 .0075 3 0.91 3.44 .0076 2 0.91 3.92 .0077 2 0.91 3.63 .0078 2 0.91 3.43 .0079 2 0.91 3.39 .0080 3 0.91 3.61 .0081 2 0.91 3.85 .0082 2 0.91 3.50 .0083 3 0.91 3.60 .0084 3 0.91 3.44 .0085 4 0.91 3.25 .0086 3 0.91 3.42 .0087 2 0.91 3.25 .0088 2 0.91 3.45 .0089 2 0.91 3.48 .0090 2 0.91 3.56 .0091 3 0.91 3.75 .0092 3 0.91 3.53 .0093 3 0.91 3.48 .0094 2 0.91 3.66 .0095 3 0.91 3.52 .0096 4 0.91 3.23 .0097 2 0.91 3.67 .0098 2 0.91 3.48 .0099 2 0.91 3.44 .0100 3 0.91 3.71 .0101 2 0.91 3.79 .0102 3 0.91 3.55 .0103 3 0.91 3.45 .0104 3 0.91 3.66 .0105 3 0.91 3.37 .0106 3 0.91 3.46 .0107 3 0.91 3.45 .0108 3 0.91 3.67 .0109 3 0.91 3.41 .0110 3 0.91 3.54 .0111 3 0.91 3.54 .0112 3 0.91 3.61 .0113 3 0.91 3.50 .0114 3 0.91 3.45 .0115 3 0.91 3.34 .0116 3 0.91 3.42 .0117 4 0.91 3.59 .0118 3 0.91 3.58 .0119 3 0.91 3.55 .0120 3 0.91 3.46 .0121 2 0.91 3.88 .0122 2 0.91 3.62 .0123 4 0.91 3.41 .0124 3 0.91 3.46 .0125 3 0.91 3.48 .0126 2 0.91 3.62 .0127 3 0.91 3.42 .0128 2 0.91 3.55 .0129 2 0.91 3.55 .0130 2 0.91 3.60 .0131 3 0.91 3.60 .0132 3 0.91 4.14 .0133 2 0.91 3.90 .0134 2 0.91 3.61 .0135 2 0.91 3.94 .0136 2 0.91 3.57 .0137 3 0.91 3.61 .0138 2 0.91 3.60 .0139 2 0.91 3.95 .0140 2 0.91 3.72 .0141 2 0.91 3.73 .0142 3 0.91 3.72 .0143 2 0.91 3.52 .0144 3 0.91 3.81 .0145 3 0.91 3.71 .0146 2 0.91 3.85 .0147 3 0.91 3.84 .0148 3 0.91 3.93 .0149 2 0.91 4.19 .0150 2 0.91 3.90 .0151 3 0.91 3.87 .0152 2 0.91 4.02 .0153 2 0.91 4.07 .0154 2 0.91 3.95 .0155 2 0.91 4.13 .0156 2 0.91 4.03 .0157 2 0.91 4.16 .0158 2 0.91 4.31 .0159 2 0.91 4.27 .0160 2 0.91 4.14 .0161 2 0.91 4.26 .0162 2 0.91 4.13 .0163 2 0.91 4.33 .0164 2 0.91 4.20 .0165 2 0.91 4.68 .0166 2 0.91 4.66 .0167 2 0.91 4.21 .0168 2 0.91 4.32 .0169 2 0.91 4.47 .0170 2 0.91 4.50 .0171 2 0.91 4.64 .0172 2 0.91 4.90 .0173 2 0.91 4.94 .0174 2 0.91 4.63 .0175 2 0.91 4.68 .0176 3 0.91 4.82 .0177 2 0.91 4.63 .0178 2 0.91 4.63 .0179 2 0.91 4.87 .0180 3 0.91 4.87 .0181 3 0.91 4.51 .0182 3 0.91 5.21 .0183 3 0.91 4.84 .0184 2 0.91 4.89 .0185 2 0.91 4.97 .0186 3 0.91 5.01 .0187 2 0.91 5.19 .0188 2 0.91 5.17 .0189 2 0.91 4.96 .0190 2 0.91 5.07 .0191 2 0.91 4.94 .0192 2 0.91 5.07 .0193 2 0.91 4.99 .0194 2 0.91 4.90 .0195 3 0.91 5.77 .0196 2 0.91 5.41 .0197 2 0.91 5.37 .0198 3 0.91 5.14 .0199 3 0.91 5.26 .0200 1 0.91 5.65 .0201 1 0.91 5.44 .0202 1 0.91 5.51 .0203 1 0.91 5.32 .0204 1 0.91 5.46 .0205 1 0.91 5.29 .0206 1 0.91 5.28 .0207 2 0.91 5.68 .0208 3 0.91 5.24 .0209 1 0.91 5.36 .0210 2 0.91 5.39 .0211 1 0.91 5.20 .0212 1 0.91 5.30 .0213 1 0.91 5.09 .0214 1 0.91 5.24 .0215 2 0.91 5.24 .0216 3 0.91 5.43 .0217 1 0.91 5.39 .0218 2 0.91 5.07 .0219 2 0.91 5.07 .0220 1 0.91 5.20 .0221 1 0.91 5.13 .0222 1 0.91 4.75 .0223 1 0.91 4.87 .0224 1 0.91 4.83 .0225 1 0.91 4.93 .0226 2 0.91 4.95 .0227 4 0.91 4.87 .0228 1 0.91 5.06 .0229 2 0.91 4.91 .0230 2 0.91 5.27 .0231 2 0.91 4.89 .0232 2 0.91 5.05 .0233 2 0.91 5.01 .0234 1 0.91 4.91 .0235 2 0.91 4.65 .0236 2 0.91 4.62 .0237 5 0.91 5.05 .0238 2 0.91 5.24 .0239 2 0.91 4.81 .0240 2 0.91 4.84 .0241 2 0.91 4.90 .0242 1 0.91 4.95 .0243 1 0.91 4.73 .0244 3 0.91 4.76 .0245 1 0.91 4.82 .0246 1 0.91 4.82 .0247 1 0.91 5.07 .0248 1 0.91 5.26 .0249 1 0.91 4.94 .0250 2 0.91 5.00 .0251 2 0.91 5.01 .0252 2 0.91 5.35 .0253 2 0.91 5.02 .0254 2 0.91 5.03 .0255 1 0.91 4.97 .0256 1 0.91 4.80 .0257 3 0.91 4.97 .0258 3 0.91 4.78 .0259 1 0.91 4.87 .0260 1 0.91 5.06 .0261 1 0.91 4.85 .0262 1 0.91 5.12 .0263 1 0.91 5.06 .0264 1 0.91 4.99 .0265 1 0.91 5.17 .0266 2 0.91 4.97 .0267 1 0.91 5.01 .0268 1 0.91 5.22 .0269 1 0.91 5.42 .0270 1 0.91 5.57 .0271 3 0.91 5.38 .0272 2 0.91 5.10 .0273 2 0.91 5.39 .0274 1 0.91 5.37 .0275 2 0.91 5.30 .0276 1 0.91 5.53 .0277 1 0.91 5.31 .0278 1 0.91 5.29 .0279 1 0.91 5.22 .0280 1 0.91 5.42 .0281 1 0.91 5.44 .0282 1 0.91 5.79 .0283 2 0.91 5.41 .0284 2 0.91 5.38 .0285 1 0.91 5.49 .0286 2 0.91 5.38 .0287 2 0.91 5.80 .0288 3 0.91 6.23 .0289 3 0.91 5.52 .0290 1 0.91 5.81 .0291 2 0.91 5.85 .0292 2 0.91 6.00 .0293 1 0.91 5.72 .0294 1 0.91 5.79 .0295 2 0.91 6.04 .0296 3 0.91 6.48 .0297 3 0.91 6.09 .0298 1 0.91 6.12 .0299 1 0.91 6.46 .0300 3 0.91 6.05 .0301 1 0.91 6.23 .0302 4 0.91 5.90 .0303 2 0.91 6.52 .0304 2 0.91 6.06 .0305 2 0.91 5.97 .0306 1 0.91 6.52 .0307 2 0.91 6.06 .0308 1 0.91 6.31 .0309 2 0.91 6.01 .0310 3 0.91 5.88 .0311 3 0.91 6.46 .0312 1 0.91 6.15 .0313 2 0.91 6.34 .0314 2 0.91 6.28 .0315 1 0.91 6.18 .0316 1 0.91 6.04 .0317 1 0.91 6.26 .0318 1 0.91 6.04 .0319 1 0.91 6.45 .0320 2 0.91 5.86 .0321 2 0.91 6.06 .0322 1 0.91 6.43 .0323 2 0.91 6.00 .0324 1 0.91 6.34 .0325 1 0.91 6.30 .0326 5 0.91 6.19 .0327 3 0.91 6.10 .0328 2 0.91 5.79 .0329 2 0.91 6.10 .0330 2 0.91 6.27 .0331 2 0.91 6.03 .0332 3 0.91 5.91 .0333 3 0.91 6.11 .0334 2 0.91 5.91 .0335 2 0.91 5.74 .0336 2 0.91 5.92 .0337 2 0.91 5.80 .0338 2 0.91 5.99 .0339 2 0.91 5.91 .0340 2 0.91 6.03 .0341 2 0.91 5.71 .0342 2 0.91 6.14 .0343 2 0.91 6.38 .0344 2 0.91 6.46 .0345 2 0.91 5.96 .0346 2 0.91 5.99 .0347 2 0.91 5.82 .0348 2 0.91 6.08 .0349 2 0.91 6.13 .0350 2 0.91 5.85 .0351 2 0.91 6.13 .0352 2 0.91 5.78 .0353 2 0.91 5.81 .0354 2 0.91 5.68 .0355 2 0.91 6.03 .0356 2 0.91 6.10 .0357 3 0.91 5.78 .0358 2 0.91 5.87 .0359 2 0.91 6.22 .0360 3 0.91 6.16 .0361 2 0.91 5.85 .0362 2 0.91 6.07 .0363 2 0.91 5.86 .0364 2 0.91 5.69 .0365 2 0.91 6.09 .0366 2 0.91 5.81 .0367 2 0.91 5.85 .0368 2 0.91 5.94 .0369 2 0.91 5.84 .0370 2 0.91 5.89 .0371 2 0.91 5.73 .0372 2 0.91 6.02 .0373 3 0.91 6.36 .0374 3 0.91 6.18 .0375 2 0.91 5.84 .0376 2 0.91 5.88 .0377 2 0.91 5.84 .0378 3 0.91 6.29 .0379 2 0.91 6.06 .0380 3 0.91 6.01 .0381 3 0.91 6.07 .0382 2 0.91 6.31 .0383 3 0.91 5.99 .0384 3 0.91 6.39 .0385 3 0.91 6.02 .0386 2 0.91 6.39 .0387 2 0.91 5.88 .0388 2 0.91 5.95 .0389 2 0.91 6.09 .0390 2 0.91 5.86 .0391 2 0.91 6.20 .0392 3 0.91 5.91 .0393 2 0.91 6.32 .0394 2 0.91 6.04 .0395 3 0.91 6.06 .0396 2 0.91 6.25 .0397 2 0.91 6.22 .0398 3 0.91 5.78 .0399 3 0.91 6.05 .0400 4 0.91 5.82 .0401 3 0.91 6.27 .0402 3 0.91 6.09 .0403 3 0.91 5.66 .0404 3 0.91 5.55 .0405 3 0.91 5.82 .0406 3 0.91 5.96 .0407 3 0.91 5.87 .0408 3 0.91 5.74 .0409 3 0.91 5.96 .0410 3 0.91 5.96 .0411 3 0.91 5.66 .0412 3 0.91 5.68 .0413 3 0.91 5.78 .0414 4 0.91 5.64 .0415 3 0.91 5.70 .0416 3 0.91 5.88 .0417 3 0.91 6.04 .0418 3 0.91 5.69 .0419 3 0.91 5.87 .0420 3 0.91 5.98 .0421 3 0.91 5.75 .0422 3 0.91 5.54 .0423 3 0.91 5.42 .0424 2 0.91 6.08 .0425 2 0.91 5.66 .0426 2 0.91 5.63 .0427 2 0.91 5.65 .0428 2 0.91 5.44 .0429 2 0.91 5.47 .0430 2 0.91 5.58 .0431 2 0.91 5.46 .0432 2 0.91 5.66 .0433 2 0.91 5.63 .0434 2 0.91 5.41 .0435 2 0.91 5.93 .0436 2 0.91 5.53 .0437 2 0.91 6.01 .0438 3 0.91 5.50 .0439 3 0.91 5.64 .0440 2 0.91 5.79 .0441 2 0.91 5.63 .0442 2 0.91 5.51 .0443 2 0.91 5.66 .0444 2 0.91 5.61 .0445 2 0.91 5.49 .0446 2 0.91 5.50 .0447 2 0.91 5.61 .0448 2 0.91 5.61 .0449 2 0.91 5.44 .0450 2 0.91 5.68 .0451 3 0.91 5.76 .0452 2 0.91 5.63 .0453 2 0.91 5.48 .0454 2 0.91 5.53 .0455 3 0.91 5.55 .0456 2 0.91 5.57 .0457 2 0.91 5.91 .0458 2 0.91 5.42 .0459 2 0.91 5.27 .0460 3 0.91 5.28 .0461 2 0.91 5.25 .0462 2 0.91 5.51 .0463 3 0.91 5.41 .0464 2 0.91 5.66 .0465 2 0.91 5.35 .0466 2 0.91 5.34 .0467 2 0.91 5.25 .0468 2 0.91 5.38 .0469 2 0.91 6.38 .0470 3 0.91 5.48 .0471 2 0.91 5.72 .0472 4 0.91 5.38 .0473 3 0.91 5.33 .0474 2 0.91 5.51 .0475 3 0.91 5.35 .0476 3 0.91 5.38 .0477 3 0.91 5.15 .0478 2 0.91 5.62 .0479 2 0.91 5.34 .0480 2 0.91 4.93 .0481 2 0.91 4.91 .0482 2 0.91 5.11 .0483 3 0.91 5.27 .0484 2 0.91 5.51 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0.91 6.11 .0541 2 0.91 5.96 .0542 2 0.91 6.53 .0543 2 0.91 6.18 .0544 2 0.91 6.12 .0545 2 0.91 6.16 .0546 2 0.91 6.00 .0547 3 0.91 6.14 .0548 2 0.91 6.08 .0549 1 0.91 6.12 .0550 2 0.91 6.01 .0551 1 0.91 5.74 .0552 1 0.91 5.90 .0553 1 0.91 6.48 .0554 1 0.91 6.26 .0555 1 0.91 6.09 .0556 1 0.91 6.31 .0557 2 0.91 6.35 .0558 1 0.91 6.10 .0559 1 0.91 5.86 .0560 1 0.91 5.99 .0561 2 0.91 6.05 .0562 1 0.91 5.98 .0563 3 0.91 6.16 .0564 3 0.91 5.93 .0565 1 0.91 6.16 .0566 1 0.91 5.93 .0567 1 0.91 6.20 .0568 4 0.91 6.03 .0569 2 0.91 6.31 .0570 2 0.91 5.81 .0571 1 0.91 5.84 .0572 1 0.91 5.88 .0573 3 0.91 6.08 .0574 1 0.91 6.09 .0575 1 0.91 5.92 .0576 3 0.91 5.88 .0577 1 0.91 5.96 .0578 2 0.91 5.99 .0579 1 0.91 5.89 .0580 1 0.91 6.02 .0581 2 0.91 6.00 .0582 1 0.91 6.45 .0583 1 0.91 5.85 .0584 1 0.91 6.13 .0585 2 0.91 5.95 .0586 2 0.91 6.32 .0587 2 0.91 5.68 .0588 1 0.91 5.95 .0589 1 0.90 6.03 .0590 2 0.90 5.98 .0591 2 0.90 6.44 .0592 2 0.90 5.86 .0593 1 0.90 5.79 .0594 1 0.90 6.28 .0595 1 0.90 6.26 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.2039 3 0.95 1.96 .2040 1 0.95 2.01 .2041 1 0.95 2.06 .2042 2 0.95 1.85 .2043 1 0.95 1.86 .2044 1 0.95 1.92 .2045 1 0.95 1.83 .2046 1 0.95 1.84 .2047 2 0.95 1.99 EXTRACT_IMAGE: sdR-r2-00034753.fit: masked 2315 pixels EXTRACT_OBJECT: sdR-r2-00034753.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034753.fit: WARNING: Scattered light median = 35.4430 electrons QAPLOT_SCATLIGHT: sdR-r2-00034753.fit: WARNING: Scattered light max = 94.2134 electrons EXTRACT_OBJECT: sdR-r2-00034753.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 2 0.91 4.26 .0004 3 0.91 3.68 .0005 1 0.91 3.75 .0006 1 0.91 3.71 .0007 1 0.91 3.65 .0008 3 0.91 3.82 .0009 2 0.91 3.86 .0010 3 0.91 3.84 .0011 3 0.91 4.06 .0012 2 0.91 3.86 .0013 2 0.91 3.76 .0014 2 0.91 3.90 .0015 1 0.91 3.94 .0016 3 0.91 3.93 .0017 3 0.91 3.82 .0018 2 0.91 3.96 .0019 3 0.91 4.07 .0020 4 0.91 4.25 .0021 2 0.91 4.12 .0022 1 0.91 3.99 .0023 3 0.91 3.95 .0024 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4.14 .0080 2 0.91 4.12 .0081 2 0.91 4.44 .0082 2 0.91 4.11 .0083 3 0.91 4.29 .0084 3 0.91 4.18 .0085 4 0.91 3.97 .0086 3 0.91 4.11 .0087 2 0.91 3.93 .0088 2 0.91 4.14 .0089 2 0.91 4.08 .0090 2 0.91 4.21 .0091 3 0.91 4.38 .0092 3 0.91 4.16 .0093 3 0.91 4.10 .0094 2 0.91 4.27 .0095 3 0.91 4.14 .0096 4 0.91 3.98 .0097 2 0.91 4.21 .0098 2 0.91 4.12 .0099 2 0.91 4.08 .0100 3 0.91 4.12 .0101 3 0.91 4.17 .0102 4 0.91 3.96 .0103 3 0.91 3.99 .0104 3 0.91 4.15 .0105 3 0.91 4.02 .0106 3 0.91 3.94 .0107 3 0.91 4.08 .0108 3 0.91 4.17 .0109 3 0.91 3.91 .0110 3 0.91 4.02 .0111 3 0.91 3.98 .0112 3 0.91 4.08 .0113 3 0.91 4.10 .0114 3 0.91 3.90 .0115 3 0.91 3.92 .0116 3 0.91 3.92 .0117 3 0.91 4.13 .0118 3 0.91 4.13 .0119 3 0.91 3.98 .0120 3 0.91 3.96 .0121 3 0.91 4.10 .0122 2 0.91 4.03 .0123 3 0.91 3.89 .0124 3 0.91 3.93 .0125 3 0.91 3.89 .0126 2 0.91 4.08 .0127 3 0.91 3.85 .0128 2 0.91 4.05 .0129 2 0.91 4.00 .0130 2 0.91 3.95 .0131 3 0.91 3.96 .0132 4 0.91 4.09 .0133 2 0.91 4.02 .0134 2 0.91 4.03 .0135 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5.59 .0191 2 0.91 5.54 .0192 2 0.91 5.53 .0193 2 0.91 5.49 .0194 2 0.91 5.62 .0195 2 0.91 5.86 .0196 2 0.91 5.94 .0197 2 0.91 5.78 .0198 2 0.91 5.60 .0199 3 0.91 5.77 .0200 2 0.91 5.79 .0201 2 0.91 5.74 .0202 2 0.91 5.76 .0203 2 0.91 5.47 .0204 1 0.91 5.85 .0205 1 0.91 5.67 .0206 1 0.91 5.66 .0207 2 0.91 6.14 .0208 3 0.91 5.58 .0209 1 0.91 5.70 .0210 2 0.91 5.78 .0211 1 0.91 5.58 .0212 1 0.91 5.72 .0213 1 0.91 5.50 .0214 1 0.91 5.48 .0215 2 0.91 5.55 .0216 4 0.91 5.75 .0217 1 0.91 5.76 .0218 2 0.91 5.37 .0219 2 0.91 5.40 .0220 2 0.91 5.53 .0221 2 0.91 5.30 .0222 1 0.91 5.14 .0223 1 0.91 5.17 .0224 2 0.91 5.13 .0225 1 0.91 5.30 .0226 2 0.91 5.21 .0227 4 0.91 5.22 .0228 2 0.91 5.08 .0229 2 0.91 5.20 .0230 2 0.91 5.32 .0231 2 0.91 5.19 .0232 2 0.91 5.38 .0233 2 0.91 5.36 .0234 1 0.91 5.15 .0235 2 0.91 5.03 .0236 2 0.91 4.92 .0237 5 0.91 5.07 .0238 2 0.91 5.48 .0239 2 0.91 5.07 .0240 2 0.91 5.07 .0241 2 0.91 5.15 .0242 1 0.91 5.13 .0243 1 0.91 4.99 .0244 3 0.91 5.18 .0245 1 0.91 5.04 .0246 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6.23 .0302 4 0.91 6.11 .0303 2 0.91 6.54 .0304 2 0.91 6.15 .0305 2 0.91 6.21 .0306 2 0.91 6.50 .0307 2 0.91 6.15 .0308 1 0.91 6.38 .0309 2 0.91 6.10 .0310 3 0.91 6.08 .0311 3 0.91 6.35 .0312 1 0.91 6.24 .0313 3 0.91 6.33 .0314 3 0.91 6.23 .0315 2 0.91 5.97 .0316 2 0.91 5.98 .0317 2 0.91 6.12 .0318 2 0.91 5.92 .0319 2 0.91 6.32 .0320 2 0.91 6.12 .0321 2 0.91 6.28 .0322 2 0.91 6.30 .0323 2 0.91 6.23 .0324 2 0.91 6.31 .0325 2 0.91 6.28 .0326 3 0.91 6.38 .0327 2 0.91 6.42 .0328 2 0.91 6.14 .0329 2 0.91 6.36 .0330 2 0.91 6.58 .0331 2 0.91 6.38 .0332 2 0.91 6.01 .0333 2 0.91 6.30 .0334 2 0.91 6.07 .0335 2 0.91 5.96 .0336 2 0.91 6.05 .0337 2 0.91 5.96 .0338 2 0.91 5.91 .0339 2 0.91 5.98 .0340 2 0.91 6.23 .0341 2 0.91 5.93 .0342 2 0.91 6.22 .0343 2 0.91 6.51 .0344 2 0.91 6.55 .0345 2 0.91 6.04 .0346 2 0.91 6.07 .0347 2 0.91 5.97 .0348 2 0.91 6.23 .0349 3 0.91 5.95 .0350 2 0.91 6.02 .0351 2 0.91 6.04 .0352 2 0.91 6.01 .0353 2 0.91 5.95 .0354 2 0.91 5.69 .0355 2 0.91 6.18 .0356 3 0.91 6.00 .0357 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3.49 .1301 1 0.92 3.57 .1302 1 0.92 3.49 .1303 2 0.92 3.48 .1304 2 0.92 3.87 .1305 3 0.92 3.50 .1306 1 0.92 3.50 .1307 2 0.92 3.55 .1308 3 0.92 3.69 .1309 2 0.92 3.82 .1310 3 0.92 3.36 .1311 1 0.92 3.55 .1312 1 0.92 3.51 .1313 3 0.92 3.65 .1314 1 0.92 3.44 .1315 2 0.92 3.47 .1316 1 0.92 3.46 .1317 3 0.92 3.57 .1318 2 0.92 3.71 .1319 3 0.92 3.59 .1320 3 0.92 3.59 .1321 3 0.92 3.49 .1322 3 0.92 3.35 .1323 2 0.92 3.25 .1324 1 0.92 3.48 .1325 2 0.92 3.58 .1326 2 0.92 3.60 .1327 2 0.92 3.56 .1328 3 0.92 3.53 .1329 2 0.92 3.48 .1330 1 0.92 3.38 .1331 2 0.92 3.64 .1332 3 0.92 3.48 .1333 2 0.92 3.59 .1334 2 0.92 3.52 .1335 2 0.92 3.46 .1336 2 0.92 3.45 .1337 3 0.92 3.47 .1338 2 0.92 3.67 .1339 2 0.92 3.43 .1340 2 0.92 3.39 .1341 2 0.92 3.38 .1342 2 0.92 3.44 .1343 2 0.92 3.64 .1344 2 0.92 3.54 .1345 1 0.92 3.45 .1346 2 0.92 3.62 .1347 2 0.92 3.87 .1348 4 0.92 3.39 .1349 3 0.92 3.29 .1350 2 0.92 3.57 .1351 2 0.92 3.81 .1352 3 0.92 3.50 .1353 1 0.92 3.58 .1354 1 0.92 3.53 .1355 1 0.92 3.63 .1356 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3.23 .1412 2 0.92 3.40 .1413 1 0.92 3.48 .1414 2 0.92 3.40 .1415 2 0.92 3.42 .1416 3 0.92 3.34 .1417 2 0.92 3.49 .1418 1 0.92 3.35 .1419 1 0.92 3.43 .1420 1 0.92 3.47 .1421 2 0.92 3.22 .1422 2 0.93 3.39 .1423 4 0.93 3.53 .1424 4 0.93 3.45 .1425 4 0.93 3.32 .1426 3 0.93 3.33 .1427 1 0.93 3.33 .1428 1 0.93 3.22 .1429 3 0.93 3.37 .1430 3 0.93 3.22 .1431 2 0.93 3.28 .1432 1 0.93 3.11 .1433 3 0.93 3.25 .1434 2 0.93 3.11 .1435 3 0.93 3.19 .1436 2 0.93 3.07 .1437 3 0.93 3.23 .1438 2 0.93 3.35 .1439 2 0.93 3.16 .1440 2 0.93 3.12 .1441 2 0.93 3.29 .1442 3 0.93 3.04 .1443 4 0.93 3.40 .1444 2 0.93 3.10 .1445 2 0.93 3.11 .1446 2 0.93 3.22 .1447 2 0.93 2.97 .1448 2 0.93 3.25 .1449 2 0.93 3.06 .1450 1 0.93 2.99 .1451 1 0.93 3.00 .1452 1 0.93 3.03 .1453 3 0.93 3.25 .1454 2 0.93 3.23 .1455 1 0.93 3.26 .1456 1 0.93 3.23 .1457 1 0.93 2.98 .1458 2 0.93 3.36 .1459 5 0.93 3.05 .1460 1 0.93 3.11 .1461 1 0.93 3.05 .1462 2 0.93 3.00 .1463 1 0.93 3.09 .1464 2 0.93 3.14 .1465 3 0.93 3.00 .1466 3 0.93 3.10 .1467 3 0.93 3.00 .1468 2 0.93 3.04 .1469 3 0.93 3.02 .1470 2 0.93 3.22 .1471 1 0.93 3.07 .1472 2 0.93 3.13 .1473 1 0.93 3.14 .1474 2 0.93 3.13 .1475 1 0.93 3.21 .1476 2 0.93 3.11 .1477 2 0.93 3.32 .1478 4 0.93 3.19 .1479 2 0.93 3.14 .1480 1 0.93 3.00 .1481 1 0.93 2.96 .1482 3 0.93 3.06 .1483 2 0.93 3.29 .1484 2 0.93 2.96 .1485 2 0.93 3.07 .1486 3 0.93 3.06 .1487 2 0.93 3.22 .1488 2 0.93 2.90 .1489 2 0.93 2.85 .1490 2 0.93 2.86 .1491 2 0.93 3.04 .1492 2 0.93 2.96 .1493 1 0.93 3.12 .1494 1 0.93 3.02 .1495 1 0.93 3.03 .1496 2 0.93 3.08 .1497 2 0.93 3.30 .1498 3 0.93 3.06 .1499 3 0.93 2.89 .1500 3 0.93 2.96 .1501 3 0.93 2.91 .1502 4 0.93 2.98 .1503 4 0.93 3.00 .1504 2 0.93 3.20 .1505 2 0.93 3.01 .1506 2 0.93 3.07 .1507 3 0.93 3.07 .1508 1 0.93 3.10 .1509 2 0.93 3.09 .1510 2 0.93 3.00 .1511 1 0.93 2.94 .1512 2 0.93 3.03 .1513 1 0.93 3.05 .1514 2 0.93 3.10 .1515 3 0.93 3.07 .1516 2 0.93 2.92 .1517 1 0.93 2.91 .1518 1 0.93 3.06 .1519 1 0.93 3.02 .1520 2 0.93 3.08 .1521 3 0.93 3.08 .1522 3 0.93 2.98 .1523 3 0.93 2.97 .1524 1 0.93 3.02 .1525 3 0.93 2.86 .1526 5 0.93 3.15 .1527 2 0.93 3.01 .1528 3 0.93 3.03 .1529 1 0.93 3.02 .1530 1 0.93 3.07 .1531 2 0.93 3.06 .1532 1 0.93 2.98 .1533 1 0.93 2.92 .1534 3 0.93 2.95 .1535 3 0.93 3.10 .1536 3 0.93 3.04 .1537 2 0.93 3.20 .1538 1 0.93 3.16 .1539 3 0.93 3.09 .1540 1 0.94 2.96 .1541 2 0.94 3.25 .1542 2 0.94 3.24 .1543 4 0.94 3.14 .1544 1 0.94 3.21 .1545 1 0.94 3.02 .1546 1 0.94 2.86 .1547 1 0.94 2.91 .1548 2 0.94 3.05 .1549 3 0.94 3.09 .1550 2 0.94 3.09 .1551 2 0.94 2.95 .1552 2 0.94 3.08 .1553 2 0.94 2.83 .1554 1 0.94 3.11 .1555 3 0.94 3.23 .1556 3 0.94 3.36 .1557 1 0.94 2.98 .1558 3 0.94 2.91 .1559 1 0.94 2.97 .1560 1 0.94 3.01 .1561 1 0.94 2.94 .1562 1 0.94 2.78 .1563 1 0.94 2.95 .1564 2 0.94 3.05 .1565 2 0.94 2.84 .1566 1 0.94 2.83 .1567 2 0.94 3.00 .1568 1 0.94 2.95 .1569 1 0.94 2.92 .1570 1 0.94 2.77 .1571 4 0.94 2.79 .1572 4 0.94 2.99 .1573 2 0.94 2.95 .1574 1 0.94 2.94 .1575 2 0.94 2.89 .1576 1 0.94 3.00 .1577 2 0.94 2.87 .1578 2 0.94 2.85 .1579 1 0.94 2.97 .1580 2 0.94 3.00 .1581 1 0.94 2.98 .1582 1 0.94 2.97 .1583 1 0.94 3.09 .1584 2 0.94 2.96 .1585 3 0.94 3.12 .1586 4 0.94 3.15 .1587 3 0.94 3.25 .1588 2 0.94 3.19 .1589 1 0.94 2.93 .1590 2 0.94 2.82 .1591 2 0.94 2.81 .1592 1 0.94 2.82 .1593 2 0.94 2.97 .1594 3 0.94 3.09 .1595 3 0.94 2.97 .1596 2 0.94 3.16 .1597 2 0.94 2.97 .1598 2 0.94 2.90 .1599 3 0.94 2.92 .1600 2 0.94 3.52 .1601 3 0.94 3.03 .1602 2 0.94 3.09 .1603 2 0.94 3.07 .1604 3 0.94 3.26 .1605 1 0.94 3.13 .1606 1 0.94 2.88 .1607 1 0.94 2.85 .1608 2 0.94 2.86 .1609 2 0.94 3.15 .1610 2 0.94 3.03 .1611 1 0.94 2.95 .1612 1 0.94 2.92 .1613 1 0.94 2.83 .1614 1 0.94 2.86 .1615 1 0.94 3.08 .1616 2 0.94 3.04 .1617 4 0.94 3.12 .1618 3 0.94 3.01 .1619 1 0.94 3.02 .1620 2 0.94 2.88 .1621 1 0.94 2.79 .1622 1 0.94 2.79 .1623 1 0.94 2.87 .1624 2 0.94 3.08 .1625 1 0.94 2.94 .1626 1 0.94 2.76 .1627 3 0.94 2.83 .1628 2 0.94 2.75 .1629 4 0.94 2.84 .1630 4 0.94 2.78 .1631 2 0.94 2.99 .1632 2 0.94 2.96 .1633 2 0.94 2.84 .1634 1 0.94 2.75 .1635 2 0.94 2.80 .1636 2 0.94 2.65 .1637 2 0.94 2.75 .1638 1 0.94 2.74 .1639 2 0.94 2.88 .1640 2 0.94 2.77 .1641 3 0.94 2.71 .1642 1 0.94 2.62 .1643 6 0.94 2.69 .1644 1 0.94 2.57 .1645 1 0.94 2.77 .1646 3 0.94 2.81 .1647 4 0.94 2.84 .1648 1 0.94 2.91 .1649 3 0.94 2.75 .1650 1 0.94 2.76 .1651 5 0.94 2.84 .1652 1 0.94 2.77 .1653 2 0.94 2.76 .1654 2 0.94 2.79 .1655 1 0.94 2.74 .1656 2 0.94 2.58 .1657 1 0.94 2.72 .1658 1 0.94 2.77 .1659 1 0.94 2.63 .1660 2 0.94 2.77 .1661 1 0.94 2.60 .1662 1 0.94 2.65 .1663 1 0.94 2.59 .1664 1 0.94 2.69 .1665 1 0.94 2.55 .1666 4 0.94 2.42 .1667 3 0.94 2.59 .1668 1 0.94 2.59 .1669 3 0.94 2.63 .1670 1 0.95 2.56 .1671 1 0.95 2.65 .1672 1 0.95 2.72 .1673 1 0.95 2.65 .1674 1 0.95 2.69 .1675 1 0.95 2.70 .1676 3 0.95 2.54 .1677 2 0.95 2.82 .1678 2 0.95 2.81 .1679 3 0.95 2.90 .1680 3 0.95 2.91 .1681 3 0.95 2.66 .1682 1 0.95 2.66 .1683 1 0.95 2.53 .1684 2 0.95 2.63 .1685 1 0.95 2.66 .1686 1 0.95 2.63 .1687 1 0.95 2.50 .1688 1 0.95 2.55 .1689 1 0.95 2.56 .1690 2 0.95 2.66 .1691 4 0.95 2.64 .1692 2 0.95 2.60 .1693 4 0.95 2.54 .1694 2 0.95 2.66 .1695 1 0.95 2.60 .1696 2 0.95 2.66 .1697 1 0.95 2.71 .1698 3 0.95 2.63 .1699 1 0.95 2.67 .1700 1 0.95 2.64 .1701 1 0.95 2.65 .1702 3 0.95 2.75 .1703 2 0.95 2.78 .1704 2 0.95 2.79 .1705 3 0.95 2.73 .1706 2 0.95 2.81 .1707 3 0.95 2.62 .1708 2 0.95 2.57 .1709 3 0.95 2.61 .1710 1 0.95 2.51 .1711 1 0.95 2.60 .1712 3 0.95 2.55 .1713 3 0.95 2.58 .1714 2 0.95 2.59 .1715 2 0.95 2.61 .1716 3 0.95 2.74 .1717 3 0.95 2.64 .1718 2 0.95 2.42 .1719 1 0.95 2.48 .1720 3 0.95 2.54 .1721 1 0.95 2.43 .1722 1 0.95 2.58 .1723 3 0.95 2.58 .1724 1 0.95 2.49 .1725 2 0.95 2.61 .1726 3 0.95 2.36 .1727 2 0.95 2.40 .1728 1 0.95 2.25 .1729 1 0.95 2.36 .1730 1 0.95 2.37 .1731 2 0.95 2.39 .1732 2 0.95 2.46 .1733 5 0.95 2.37 .1734 3 0.95 2.26 .1735 3 0.95 2.33 .1736 2 0.95 2.34 .1737 3 0.95 2.34 .1738 2 0.95 2.26 .1739 3 0.95 2.49 .1740 3 0.95 2.43 .1741 3 0.95 2.50 .1742 5 0.95 2.41 .1743 2 0.95 2.50 .1744 2 0.95 2.51 .1745 3 0.95 2.52 .1746 2 0.95 2.45 .1747 3 0.95 2.37 .1748 3 0.95 2.42 .1749 2 0.95 2.72 .1750 3 0.95 2.49 .1751 4 0.95 2.40 .1752 3 0.95 2.58 .1753 2 0.95 2.43 .1754 2 0.95 2.49 .1755 1 0.95 2.48 .1756 2 0.95 2.33 .1757 1 0.95 2.36 .1758 3 0.95 2.42 .1759 2 0.95 2.54 .1760 1 0.95 2.34 .1761 1 0.95 2.37 .1762 1 0.95 2.29 .1763 3 0.95 2.38 .1764 3 0.95 2.43 .1765 2 0.95 2.55 .1766 2 0.95 2.50 .1767 1 0.95 2.55 .1768 2 0.95 2.48 .1769 1 0.95 2.41 .1770 3 0.95 2.37 .1771 1 0.95 2.50 .1772 2 0.95 2.40 .1773 2 0.95 2.34 .1774 4 0.95 2.44 .1775 3 0.95 2.46 .1776 2 0.95 2.53 .1777 1 0.95 2.49 .1778 1 0.95 2.41 .1779 2 0.95 2.45 .1780 1 0.95 2.39 .1781 4 0.95 2.30 .1782 4 0.95 2.37 .1783 2 0.95 2.46 .1784 2 0.95 2.47 .1785 1 0.95 2.48 .1786 1 0.95 2.41 .1787 1 0.95 2.47 .1788 1 0.95 2.54 .1789 2 0.95 2.44 .1790 1 0.95 2.51 .1791 1 0.95 2.39 .1792 2 0.95 2.45 .1793 1 0.95 2.49 .1794 2 0.95 2.54 .1795 2 0.95 2.82 .1796 3 0.95 2.51 .1797 1 0.95 2.43 .1798 2 0.95 2.47 .1799 1 0.95 2.41 .1800 3 0.95 2.37 .1801 1 0.95 2.50 .1802 3 0.95 2.47 .1803 2 0.95 2.38 .1804 2 0.95 2.46 .1805 2 0.95 2.58 .1806 4 0.95 2.35 .1807 3 0.95 2.69 .1808 2 0.95 2.46 .1809 1 0.95 2.61 .1810 3 0.95 2.58 .1811 3 0.95 2.63 .1812 1 0.95 2.64 .1813 2 0.95 2.74 .1814 1 0.95 2.54 .1815 1 0.95 2.53 .1816 1 0.95 2.54 .1817 3 0.95 2.60 .1818 1 0.95 2.59 .1819 2 0.95 2.57 .1820 1 0.95 2.78 .1821 1 0.95 2.74 .1822 1 0.95 2.51 .1823 1 0.95 2.64 .1824 3 0.95 2.62 .1825 2 0.95 2.63 .1826 1 0.95 2.59 .1827 2 0.95 2.66 .1828 1 0.95 2.65 .1829 1 0.95 2.81 .1830 1 0.95 2.39 .1831 1 0.95 2.42 .1832 2 0.95 2.32 .1833 2 0.95 2.42 .1834 2 0.95 2.50 .1835 2 0.95 2.33 .1836 2 0.95 2.49 .1837 1 0.95 2.32 .1838 3 0.95 2.34 .1839 3 0.95 2.35 .1840 7 0.95 2.57 .1841 1 0.95 2.39 .1842 1 0.95 2.45 .1843 1 0.95 2.51 .1844 3 0.95 2.43 .1845 1 0.95 2.57 .1846 1 0.95 2.50 .1847 1 0.95 2.42 .1848 3 0.95 2.40 .1849 3 0.95 2.49 .1850 3 0.95 2.42 .1851 2 0.95 2.56 .1852 1 0.95 2.52 .1853 3 0.95 2.59 .1854 3 0.95 2.58 .1855 1 0.95 2.49 .1856 3 0.95 2.39 .1857 3 0.95 2.40 .1858 4 0.95 2.53 .1859 2 0.95 2.48 .1860 2 0.95 2.70 .1861 2 0.95 2.71 .1862 2 0.95 3.00 .1863 2 0.95 2.83 .1864 4 0.95 2.65 .1865 2 0.95 2.79 .1866 3 0.95 2.79 .1867 1 0.95 2.67 .1868 3 0.95 2.56 .1869 2 0.95 2.52 .1870 3 0.95 2.56 .1871 3 0.95 2.76 .1872 2 0.95 2.87 .1873 3 0.95 2.68 .1874 2 0.95 2.77 .1875 1 0.95 2.57 .1876 1 0.95 2.47 .1877 1 0.95 2.48 .1878 3 0.95 2.55 .1879 1 0.95 2.65 .1880 1 0.95 2.63 .1881 1 0.95 2.97 .1882 1 0.95 2.51 .1883 1 0.95 2.46 .1884 2 0.95 2.45 .1885 3 0.95 2.46 .1886 3 0.95 2.47 .1887 3 0.95 2.55 .1888 1 0.95 2.53 .1889 1 0.95 2.50 .1890 3 0.95 2.57 .1891 2 0.95 2.41 .1892 1 0.95 2.43 .1893 1 0.95 2.50 .1894 1 0.95 2.56 .1895 1 0.95 2.46 .1896 1 0.95 2.43 .1897 2 0.95 2.43 .1898 3 0.95 2.44 .1899 1 0.95 2.51 .1900 1 0.95 2.52 .1901 4 0.95 2.57 .1902 4 0.95 2.47 .1903 3 0.95 2.59 .1904 3 0.95 2.35 .1905 3 0.95 2.24 .1906 1 0.95 2.36 .1907 2 0.95 2.46 .1908 4 0.95 2.33 .1909 2 0.95 2.34 .1910 2 0.95 2.19 .1911 4 0.95 2.34 .1912 4 0.95 2.40 .1913 3 0.95 2.29 .1914 3 0.95 2.19 .1915 2 0.95 2.40 .1916 3 0.95 2.23 .1917 3 0.95 2.24 .1918 3 0.95 2.20 .1919 2 0.95 2.17 .1920 3 0.95 2.15 .1921 3 0.95 2.25 .1922 2 0.95 2.17 .1923 3 0.95 2.36 .1924 3 0.95 2.29 .1925 1 0.95 2.26 .1926 1 0.95 2.17 .1927 1 0.95 2.25 .1928 1 0.95 2.18 .1929 5 0.95 2.02 .1930 1 0.95 2.23 .1931 2 0.95 2.23 .1932 3 0.95 2.12 .1933 5 0.95 2.15 .1934 2 0.95 2.16 .1935 3 0.95 2.16 .1936 3 0.95 2.14 .1937 3 0.95 2.26 .1938 1 0.95 2.38 .1939 3 0.95 2.33 .1940 3 0.95 2.34 .1941 2 0.95 2.29 .1942 1 0.95 2.29 .1943 1 0.95 2.31 .1944 4 0.95 2.27 .1945 2 0.95 2.44 .1946 2 0.95 2.52 .1947 3 0.95 2.46 .1948 2 0.95 2.43 .1949 3 0.95 2.21 .1950 2 0.95 2.34 .1951 2 0.95 2.25 .1952 2 0.95 2.16 .1953 3 0.95 2.34 .1954 3 0.95 2.25 .1955 3 0.95 2.42 .1956 2 0.95 2.29 .1957 2 0.95 2.31 .1958 3 0.95 2.19 .1959 1 0.95 2.28 .1960 1 0.95 2.22 .1961 1 0.95 2.30 .1962 2 0.95 2.12 .1963 3 0.95 2.35 .1964 3 0.95 2.29 .1965 3 0.95 2.30 .1966 2 0.95 2.23 .1967 3 0.95 2.21 .1968 4 0.95 2.11 .1969 3 0.95 2.20 .1970 2 0.95 2.35 .1971 5 0.95 2.28 .1972 2 0.95 2.23 .1973 1 0.95 2.27 .1974 2 0.95 2.38 .1975 1 0.95 2.24 .1976 1 0.95 2.36 .1977 2 0.95 2.18 .1978 1 0.95 2.23 .1979 1 0.95 2.18 .1980 1 0.95 2.20 .1981 2 0.95 2.29 .1982 2 0.95 2.22 .1983 1 0.95 2.21 .1984 2 0.95 2.19 .1985 1 0.95 2.22 .1986 2 0.95 2.16 .1987 3 0.95 2.27 .1988 3 0.95 2.24 .1989 2 0.95 2.29 .1990 1 0.95 2.14 .1991 3 0.95 2.19 .1992 1 0.95 2.29 .1993 2 0.95 2.21 .1994 1 0.95 2.20 .1995 3 0.95 2.30 .1996 2 0.95 2.22 .1997 2 0.95 2.12 .1998 3 0.95 2.06 .1999 3 0.95 1.99 .2000 2 0.95 2.09 .2001 2 0.95 2.15 .2002 3 0.95 2.10 .2003 2 0.95 2.13 .2004 2 0.95 2.22 .2005 2 0.95 2.17 .2006 1 0.95 2.26 .2007 1 0.95 2.16 .2008 1 0.95 2.08 .2009 1 0.95 2.10 .2010 2 0.95 2.19 .2011 1 0.95 2.18 .2012 3 0.95 2.12 .2013 3 0.95 2.18 .2014 3 0.95 2.28 .2015 2 0.95 2.15 .2016 1 0.95 2.26 .2017 1 0.95 2.27 .2018 1 0.95 2.14 .2019 1 0.95 2.22 .2020 1 0.95 2.17 .2021 4 0.95 2.06 .2022 1 0.95 2.25 .2023 2 0.95 2.13 .2024 1 0.95 2.08 .2025 1 0.95 2.15 .2026 2 0.95 2.25 .2027 2 0.95 2.08 .2028 2 0.95 2.29 .2029 3 0.95 2.17 .2030 3 0.95 2.17 .2031 3 0.95 2.21 .2032 3 0.95 2.13 .2033 3 0.95 2.11 .2034 2 0.95 2.12 .2035 2 0.95 2.28 .2036 3 0.95 2.16 .2037 1 0.95 2.05 .2038 3 0.95 2.09 .2039 3 0.95 2.07 .2040 1 0.95 2.11 .2041 1 0.95 2.11 .2042 2 0.95 1.97 .2043 1 0.95 1.98 .2044 1 0.95 2.03 .2045 1 0.95 1.95 .2046 1 0.95 2.00 .2047 2 0.95 2.06 EXTRACT_IMAGE: sdR-r2-00034753.fit: masked 3013 pixels DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 430 low points in trace 54 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 384 low points in trace 184 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 617 low points in trace 224 DIVIDEFLAT: sdR-r2-00034753.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034753.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 606 low points in trace 276 DIVIDEFLAT: sdR-r2-00034753.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034753.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 224 low points in trace 318 DIVIDEFLAT: sdR-r2-00034753.fit: Warning: Reject 480 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034753.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 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2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034753.fit: WARNING: sky shift reference line, sigma 7794.1200 0.053085147 LOCATESKYLINES_2: sdR-r2-00034753.fit: sky shift reference line, offset: 7794.1200 -0.10826304 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 0 8.6693892 764.44092 -0.15019586 1.0467031 1760.3918 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 6 10.393044 582.91638 -0.24011201 0.97846816 1764.3373 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 13 14.049975 639.05326 -0.16929335 0.95334101 1782.2668 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 18 10.520448 702.85672 -0.22491851 0.91939308 1771.1531 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 26 6.5475641 829.19438 -0.20651710 0.96387646 1911.4477 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 52 11.407075 716.30083 -0.15255183 0.99599434 1734.4874 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 60 11.815329 772.76859 -0.22676621 0.95052880 1886.4935 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 63 7.9187518 648.16661 -0.21495131 1.0460863 1835.1592 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 82 8.1169913 679.37339 -0.22139219 0.93548459 1836.5929 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 84 9.6277843 591.88185 -0.17339795 1.0030486 1802.7407 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 109 8.7582684 628.49587 -0.19907735 0.93988612 1839.7073 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 114 14.544421 606.05923 -0.23106516 0.90937937 1907.1906 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 131 15.038372 685.18432 -0.21867038 0.93860317 1954.7012 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 153 6.5563464 786.29901 -0.18956281 0.93749917 1787.7607 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 176 19.127325 740.64429 -0.12827707 0.97202186 1859.8178 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 180 18.267942 760.64264 -0.15918124 0.96336273 1811.0041 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 184 23.304547 770.69772 -0.19084818 1.0015317 1883.5383 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 185 19.261244 723.50157 -0.20086891 1.0084900 1914.7453 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 186 16.145687 757.29525 -0.22897992 0.98288237 1826.6764 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 201 13.037411 722.71491 -0.22731529 0.95138435 1850.8081 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 204 17.344539 753.19414 -0.19834384 0.96231225 1751.8022 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 206 16.927810 740.62513 -0.23745792 0.95135030 1882.3515 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 213 11.860964 748.12936 -0.19401083 0.93583838 1849.5325 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 235 8.7944540 784.53077 -0.12176458 0.89011399 1866.9917 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 257 18.778182 759.55344 -0.18735623 0.91489907 1848.1322 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 259 8.7726114 870.71650 -0.20539493 0.88722488 1858.0936 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 260 13.879934 760.21607 -0.21003169 0.94658719 1799.4877 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 261 9.3162935 837.00104 -0.16520950 0.93764614 1907.1628 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 265 19.709332 762.43634 -0.22644123 0.95930248 1850.2499 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 271 16.966410 752.41671 -0.19806067 0.93242563 1870.8348 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 276 11.467187 770.40317 -0.19673126 0.87971433 1829.7139 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 281 10.656676 716.14131 -0.14468201 0.94423262 1911.6966 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 284 11.711612 737.34439 -0.16688876 0.91836800 1859.6918 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 307 9.2030022 723.04561 -0.17698277 0.99013699 1813.9274 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 0 308 10.944945 793.49856 -0.23349984 1.0005784 1780.3790 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 0 7.8841356 0.00044076725 -0.19445041 0.95422748 0.99819203 LOCATESKYLINES_2: sdR-r2-00034753.fit: sigma-clipped to 261 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034753.fit: comb2 l,chi^2/dof,fit: 0 3.2464899 -0.024625452 -0.19148736 0.98841864 1.0076699 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 261 of 315 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.299750-0.1914870.004659 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 0 1.0311066 681.38933 -0.10925923 0.89841729 550.28622 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 6 1.8815487 437.76349 -0.14394724 1.0079690 611.89619 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 13 0.44988504 523.85864 -0.098216268 0.96207353 510.14104 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 18 0.63648172 569.42866 -0.10075927 0.94673446 509.77744 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 26 2.2095328 629.13561 -0.13272407 0.96634306 604.43244 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 52 0.97350012 527.14554 -0.13798120 0.98219637 573.16317 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 60 1.8636368 582.84588 -0.15165590 0.93946285 591.46426 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 63 1.4764873 582.58966 -0.15226102 0.94270728 599.66255 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 82 2.3930574 511.20025 -0.099078201 1.0719186 561.41901 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 84 1.1476268 484.46560 -0.31505035 0.90504673 691.57372 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 109 4.0807500 477.53594 -0.20177105 1.0048975 610.03944 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 114 1.8444917 500.34008 -0.051819888 1.0032140 478.30618 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 131 1.7811935 590.18033 -0.25311340 1.0193299 578.42913 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 153 3.7420843 623.19111 -0.12787332 1.0135932 633.03190 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 176 0.62026967 628.20861 -0.15424762 1.1249977 575.61956 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 180 5.4775370 648.82148 -0.11994828 0.94409153 631.40833 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 184 4.8724246 657.83881 -0.10885396 0.93647176 572.64188 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 185 4.0414035 633.18021 -0.19740641 0.95084173 580.11992 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 186 1.7355778 627.71665 -0.24277633 1.0611566 575.43200 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 201 2.1090815 593.29115 -0.18950738 0.98217918 570.26351 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 204 2.7471504 582.99007 -0.0066608288 0.91773932 569.76929 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 206 2.6714419 606.60067 -0.13870850 0.90011380 624.82731 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 213 1.8146649 600.60822 -0.10187869 0.94174128 607.39985 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 235 1.9491708 588.75107 -0.091106089 1.0264054 542.56045 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 257 4.4074326 627.70120 -0.17872189 0.96470250 580.03437 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 259 4.6342015 720.10017 -0.13913661 1.0502411 577.24106 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 260 2.3626757 607.81246 -0.24324048 1.0087184 574.48232 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 261 0.50406666 655.13114 -0.098130746 1.0266626 622.80232 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 265 2.3902555 638.47248 -0.18686265 0.92672712 614.06395 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 271 1.2258799 619.06252 -0.12285586 0.91867431 643.29396 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 276 0.54719797 582.59231 -0.13463175 1.0574214 587.99859 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 281 1.8098151 614.45740 -0.21370854 0.86090662 586.37682 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 284 0.85897546 587.30335 -0.17893333 1.0950323 590.40885 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 307 2.6759237 643.49470 -0.086208098 1.0250515 537.82471 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 1 308 0.85193949 709.01936 -0.26566714 0.92021382 530.04745 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 1 1.4979642 0.0013536674 -0.15300092 0.97682922 0.99590562 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.261264-0.1530010.011003 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 0 2.2373375 546.71780 -0.65962085 1.5372341 197.07137 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 6 3.5485939 375.17689 -0.11826815 0.92682240 193.54311 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 13 2.2203651 386.30168 -0.48988552 0.86078809 230.15473 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 18 2.8236389 413.64090 -0.31247078 1.1215985 281.06353 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 26 2.0383462 534.21953 -0.28326451 1.3287084 178.34722 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 52 0.98417396 454.34440 -0.47114167 1.0831391 189.76563 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 60 0.77159559 466.22525 -0.97852500 1.6617724 150.81500 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 63 0.94471983 416.98340 -0.64522864 1.6037659 195.25575 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 82 1.1066465 472.34890 -0.28224941 0.62478873 178.55727 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 84 1.2755599 377.55124 -0.55602869 1.7542679 238.83291 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 109 2.1328024 411.99337 -0.56573589 0.69794338 208.00630 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 114 0.56700609 364.21466 -0.80926895 1.7467118 225.87521 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 131 2.5315883 517.16321 -0.29786322 0.85127707 209.98680 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 153 0.98609970 600.59635 -0.43877901 0.66890787 139.99236 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 176 1.5152600 563.60329 -0.48885607 1.3533769 171.37412 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 180 1.3956943 579.92789 -0.45673746 0.84197623 189.86190 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 184 1.3949619 590.40661 -0.54234801 0.97092895 161.83550 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 185 0.54587363 557.63883 -0.35022526 0.93414320 246.98064 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 186 0.47053653 598.73865 0.028474886 0.60000000 202.84777 LOCATESKYLINES_2: sdR-r2-00034753.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 201 1.5974215 552.73737 -0.41427532 0.80520231 177.24937 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 204 0.46699350 571.13869 0.0034260287 1.0022370 169.82327 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 206 1.4081942 524.79383 -0.16476000 1.0404061 211.41777 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 213 1.6655329 545.72233 -0.35176243 0.99061192 207.45991 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 235 1.4385404 568.16422 -0.23458314 0.84587319 198.85820 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 257 1.1012907 555.90668 -0.50504882 1.0021832 162.08364 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 259 3.1919315 651.78873 -0.29702668 0.97808136 203.11874 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 260 2.1677396 532.39081 -0.28662593 1.0512474 185.38023 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 261 0.90029885 595.98417 -0.35947438 1.3618989 194.74619 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 265 0.96968874 555.63156 -0.47067512 1.2055547 161.22074 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 271 0.49431268 530.73191 -0.10996117 1.3300178 213.39533 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 276 1.5620251 533.20594 -0.31103440 0.81899171 159.95980 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 281 1.5140793 490.15749 -0.73719909 1.4082302 238.65324 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 284 2.3032374 529.02261 -0.36693336 0.98598252 247.71604 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 307 1.3396559 554.83603 -0.51978347 1.3757833 211.11353 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 2 308 1.0512921 667.98602 -0.59983505 0.84049742 207.27784 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 2 1.3700076 0.019748801 -0.40528030 1.0871171 0.94869323 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.513543-0.4052800.031639 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 0 0.25425228 648.82901 -0.12989929 0.98673648 318.14443 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 6 1.3489690 424.56833 -0.27602702 1.0412215 323.75764 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 13 2.2611018 446.20863 -0.24601695 1.0506915 360.53570 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 18 0.69095410 494.91213 -0.20321862 0.96882332 381.88422 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 26 1.2281937 612.14552 -0.25953684 0.96165649 382.87156 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 52 2.3568739 517.86048 -0.018991006 0.86281170 284.32917 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 60 1.5896764 575.04499 -0.36514927 0.82427996 354.14859 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 63 0.85678290 509.75534 -0.21592309 1.3098917 307.05735 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 82 0.71970372 492.40530 -0.13572453 0.93085245 366.39184 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 84 1.0101512 475.69047 -0.068264505 1.0829216 274.38913 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 109 1.7767146 459.20470 -0.16195630 0.96606977 368.12266 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 114 0.43461402 473.12555 -0.14009940 1.1883711 294.70929 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 131 1.6221048 609.97458 -0.26687259 0.69597352 425.36239 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 153 2.6201540 630.27063 -0.21094865 0.91072684 391.62711 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 176 3.1847862 659.59483 -0.16707528 0.86371244 335.12005 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 180 0.33790511 633.65132 -0.078337420 1.1205250 303.31723 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 184 1.6409412 636.17320 -0.28948781 0.93205945 349.84760 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 185 1.5127424 615.89207 0.016837297 1.0540063 302.57301 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 186 2.8061003 606.96543 -0.31611025 1.1457139 322.85193 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 201 4.0877312 610.27951 -0.29931720 0.78431861 331.39433 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 204 1.2164574 616.87845 -0.41477545 0.87731848 280.74984 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 206 0.56704808 610.52812 -0.21705113 0.96915630 328.42717 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 213 0.20689630 601.16003 -0.12750211 0.91497130 407.12115 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 235 0.39607303 588.48324 0.039196911 0.97052393 419.67281 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 257 4.3696994 601.50070 -0.24612080 1.0534364 384.04344 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 259 0.66794675 702.79996 -0.14656795 0.93540170 339.10582 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 260 1.4812311 561.00634 -0.18318449 1.0741974 373.84632 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 261 1.2728192 665.22996 -0.24726012 1.0095946 328.80595 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 265 0.67955503 607.66696 -0.21939565 1.0425167 374.41600 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 271 1.4746580 632.55384 -0.050741808 0.86334178 332.88216 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 276 1.9991218 575.20855 -0.28426921 0.93291875 335.03931 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 281 0.45475267 571.88553 -0.31825982 0.96894074 323.42929 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 284 1.0094609 587.07962 -0.22968534 0.99150655 326.93700 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 307 1.7733233 650.95574 -0.48915221 0.79872788 353.95798 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 3 308 0.59298124 712.66869 -0.23634396 0.97248985 443.71638 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 3 1.1520888 0.0023606618 -0.21029278 0.97052879 0.98367119 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.318556-0.2102930.017960 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 0 1.0532370 640.33513 -0.14955952 0.94121491 418.04975 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 6 0.55473134 447.87594 -0.18577921 0.85936699 383.42819 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 13 0.78794340 472.65747 0.014450164 1.0039645 341.29976 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 18 3.0664461 485.36541 0.033636302 1.0588263 421.41549 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 26 0.35711160 629.83032 -0.17087223 0.94565293 375.61828 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 52 1.6045598 479.34969 -0.14164474 1.0074242 377.37521 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 60 4.8360939 543.37201 -0.27475513 1.0692287 427.02207 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 63 0.55787560 529.59590 -0.023496076 1.0929729 340.09042 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 82 2.3977283 526.32109 -0.14871548 0.89279946 362.99858 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 84 1.3350524 466.71665 -0.29424937 0.91422979 463.54458 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 109 1.4088803 482.11428 -0.088186959 0.93251175 364.30980 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 114 0.76805160 490.38826 -0.062992492 0.90995380 425.25778 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 131 2.8832486 593.89551 -0.15737305 0.94384487 358.53588 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 153 2.0269927 635.59350 0.068011928 0.91131142 360.25836 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 176 0.86882487 652.89098 -0.10718733 0.86410469 392.43429 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 180 1.1611439 645.90700 -0.36503295 1.0064109 364.50843 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 184 1.7475283 640.28584 -0.16029598 1.0687272 332.15860 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 185 0.91078143 633.41053 -0.28435521 0.93342718 372.36991 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 186 1.3966123 618.49604 -0.031888063 1.0098207 403.10179 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 201 2.5399906 618.67047 -0.094074323 0.96111442 350.60403 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 204 2.6999410 606.17807 -0.24535656 0.86246146 370.44206 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 206 1.3906047 599.35949 -0.24205705 1.1162257 375.22974 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 213 0.99918562 592.24585 -0.16432170 0.94526636 403.65644 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 235 0.58831492 621.69217 0.032895958 0.86520177 312.61540 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 257 2.1638832 611.43099 -0.11958264 0.95378166 415.05056 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 259 0.90120635 710.01077 -0.17433188 0.98092952 375.16921 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 260 1.6517066 610.09800 -0.24238040 0.77752381 345.25522 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 261 0.54079840 697.46715 -0.24682270 0.84619789 430.27974 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 265 0.48302347 605.00357 -0.20241525 1.0461125 410.34533 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 271 1.8290537 589.26708 -0.17529362 0.99697833 444.98136 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 276 0.51455529 584.91694 -0.0075987440 0.94444913 385.65875 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 281 2.0649752 568.74933 -7.5438181e-05 1.0721019 373.34723 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 284 1.9914089 566.92835 -0.30878925 1.2627337 372.48625 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 307 1.8350925 634.39341 -0.097531839 0.86072948 446.94092 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 4 308 0.35082144 739.06142 0.043161460 1.0618932 364.97039 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 4 1.1481289 0.0032523878 -0.14283932 0.96499340 0.98967552 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.251102-0.1428390.016278 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 0 0.18221698 617.43793 -0.27517453 1.0186393 435.78904 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 6 0.88126758 428.14274 -0.15057340 0.81554608 484.78089 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 13 0.56266556 446.56901 -0.078168635 1.0956554 400.78519 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 18 0.92064320 453.77184 -0.087301239 0.95473766 544.23290 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 26 0.82061599 589.81923 -0.12187946 1.0785088 448.51508 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 52 0.33305464 474.46835 -0.12948738 0.96487904 487.60119 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 60 1.7926503 546.90965 -0.24212315 0.95008118 428.54012 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 63 1.4902359 491.81446 -0.27348796 1.1299522 422.00651 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 82 1.1494674 482.67175 -0.26324656 1.1189475 426.52984 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 84 0.83507518 451.02062 -0.33024244 0.98101662 447.00160 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 109 0.81488740 438.15642 -0.22859382 1.0600445 471.73695 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 114 0.64462789 475.82612 -0.13998431 0.93069200 450.44422 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 131 0.40278195 545.08188 -0.089668626 1.0243003 482.33527 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 153 1.9551053 633.88797 -0.13011491 0.97994308 429.25842 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 176 1.5933600 599.59174 -0.15596046 0.93795481 494.87806 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 180 3.7169266 590.14509 -0.17901863 1.1177723 484.94548 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 184 0.87464279 596.33805 -0.24166681 1.0533720 466.69939 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 185 1.5425832 587.75828 -0.20914741 1.0763407 452.72920 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 186 0.79485965 557.78101 -0.27322312 1.2283357 412.71061 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 201 2.5421334 572.43080 -0.26692765 0.98485453 472.32306 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 204 2.3866681 553.97907 -0.21466381 1.0510541 463.45817 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 206 2.2398882 599.65589 -0.26643463 0.81707277 522.81349 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 213 0.73108307 604.29224 -0.16129146 0.97227726 471.01021 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 235 2.0722549 554.88365 -0.18499997 1.0629852 484.52659 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 257 0.79218238 596.66810 -0.21497464 0.96545620 490.36896 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 259 1.3431432 642.30277 -0.14512877 1.0090315 519.73907 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 260 0.50585115 575.60221 -0.23092270 0.97868656 435.26749 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 261 0.72296112 696.37873 -0.20595610 0.92310430 471.99990 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 265 0.88077729 599.56727 -0.21495414 0.90583118 459.07456 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 271 4.1706042 553.79133 -0.11276992 0.92433254 493.08191 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 276 0.20104831 528.75574 -0.039721257 0.93851837 483.56674 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 281 1.7741294 557.41763 -0.24303037 0.86069884 485.12612 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 284 0.42449190 554.82236 -0.076389415 0.78005901 566.13300 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 307 1.4397818 623.80070 -0.068529742 0.79675731 495.61093 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 5 308 1.7337452 714.13808 -0.13304480 0.98273009 497.15704 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 5 1.0895708 0.0029825132 -0.17272050 0.97326025 0.99214302 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.280984-0.1727200.013804 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 0 3.4496468 546.81269 -0.19679596 0.96091638 972.96519 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 6 17.898217 433.21137 -0.18902921 0.88764968 928.52979 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 13 1.4155982 375.36304 -0.24716381 1.0599461 920.70735 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 18 0.58083117 395.74931 -0.17499852 0.96312027 936.60762 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 26 4.1751625 542.27111 -0.24886274 0.90642424 1035.2868 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 52 3.0006153 398.70821 -0.20191172 0.93921705 991.38673 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 60 4.9775643 463.34701 -0.19561428 0.96546532 1011.4344 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 63 0.65968288 439.70503 -0.20222050 0.91334648 1016.5401 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 82 2.0340838 417.36925 -0.25920488 0.97046546 967.10378 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 84 1.3839903 418.66118 -0.19831074 0.92803734 975.85678 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 109 4.8425238 399.95387 -0.21003390 1.0369243 944.76849 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 114 1.6750467 408.69309 -0.28988620 0.96742219 1003.0187 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 131 1.9596035 539.05964 -0.26376741 0.84242554 1015.0236 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 153 2.9152702 592.53292 -0.29327705 0.94599518 977.60036 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 176 1.8823165 549.37145 -0.22251788 1.0444741 994.65311 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 180 2.3179771 546.46209 -0.32365917 0.95014936 1034.8470 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 184 3.2596197 564.44418 -0.25771650 1.0457554 916.46020 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 185 0.83390083 555.34915 -0.27463234 0.96292534 965.91054 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 186 1.9830195 545.22355 -0.27537988 0.93312277 987.37989 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 201 0.44097617 540.96465 -0.31500590 0.95610766 953.47707 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 204 1.1395504 548.48789 -0.20349292 0.90265573 1047.3327 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 206 1.9245714 541.95845 -0.32423821 0.91239138 1053.0621 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 213 1.5436090 530.86650 -0.30928570 0.96240130 1006.1169 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 235 0.99047206 495.43894 -0.22182924 1.0053554 1017.5627 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 257 3.4960310 527.24543 -0.28330185 0.94912654 1061.1574 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 259 1.7873697 637.17833 -0.24766636 0.97109929 908.45712 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 260 2.9573463 523.82242 -0.27449870 0.92387041 1022.6951 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 261 1.4324843 605.28850 -0.28387029 0.92024790 1022.4719 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 265 1.5188896 532.47094 -0.29367937 0.91352139 1086.5085 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 271 1.2417624 546.95597 -0.26602790 0.95119185 915.02349 LOCATESKYLINES_2: sdR-r2-00034753.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 281 0.42733583 494.83551 -0.27240740 0.89647525 1077.9796 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 284 4.1924175 505.02255 -0.22086717 1.0022732 934.15574 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 307 1.3828304 577.90874 -0.21356518 0.93167388 959.83135 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 6 308 4.2275896 679.05324 -0.32987366 0.93458242 995.04428 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 6 1.7890092 7.7111231e-05 -0.25517106 0.95296449 0.99634675 LOCATESKYLINES_2: sdR-r2-00034753.fit: sigma-clipped to 303 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034753.fit: comb2 l,chi^2/dof,fit: 6 1.5035803 0.00032298571 -0.25752156 0.95198373 0.99426552 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 303 of 306 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.365785-0.2575220.007393 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 0 0.45779087 577.90907 -0.16476880 0.88881138 1217.9711 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 6 2.2270980 378.68753 -0.21574601 0.94382627 1113.2964 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 13 0.15617981 381.76683 -0.13883873 0.93946812 1185.7901 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 18 2.0204585 390.05999 -0.14390870 0.94972568 1185.3492 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 26 2.5841431 481.65279 -0.19986231 0.94689946 1322.4414 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 52 3.4790862 409.61897 -0.20247913 0.90143195 1197.2700 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 60 3.0682353 484.79743 -0.20631336 0.90506058 1183.8154 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 63 1.1400988 454.78603 -0.19462042 0.82871666 1282.7543 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 82 1.1138857 418.43145 -0.25976086 0.91453589 1219.2474 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 84 3.8461248 390.37170 -0.17121782 0.92654420 1236.1464 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 109 3.0488454 399.76199 -0.27318761 0.97532264 1167.0192 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 114 2.7293751 400.34232 -0.26620742 0.95542998 1204.9807 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 131 0.32571857 512.54465 -0.16598252 0.88310774 1194.8159 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 153 2.2845641 578.49264 -0.24882442 0.98180957 1193.7097 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 176 2.4651613 542.42425 -0.24335225 0.97920736 1244.2060 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 180 2.5466089 554.58901 -0.25560700 0.93467856 1260.4803 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 184 3.8023284 573.72934 -0.18303222 0.89990738 1146.2951 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 185 3.7449870 553.83880 -0.29498311 0.94207597 1194.0878 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 186 1.0838893 566.27167 -0.17282037 0.87250245 1227.3152 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 201 1.4660617 552.07359 -0.21288531 0.87768295 1239.8950 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 204 0.52311817 525.65236 -0.26480483 0.90037491 1232.3620 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 206 1.1964603 553.60706 -0.23116297 0.86371069 1242.1641 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 213 1.7352630 536.43005 -0.23407161 0.88268053 1284.6960 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 235 1.4990110 516.05609 -0.18356492 0.94775792 1157.6444 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 257 3.1318863 560.03693 -0.20732067 0.94404573 1267.1503 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 259 1.4374142 584.99882 -0.30260043 0.99974468 1201.6705 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 260 1.0304999 521.59120 -0.18417691 0.90531339 1177.6021 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 261 2.6474062 613.75455 -0.28016580 0.89314832 1256.9949 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 265 1.4855622 531.81278 -0.20078456 0.89164552 1245.2005 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 271 2.3650458 560.53231 -0.17910587 0.89297450 1216.4138 LOCATESKYLINES_2: sdR-r2-00034753.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 281 1.6958218 513.15095 -0.18323974 0.91085446 1237.2295 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 284 1.7564100 515.14126 -0.21017839 0.92593799 1256.9548 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 307 0.80716332 568.44934 -0.20868759 0.87390541 1240.9425 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 7 308 1.6359588 661.33354 -0.19886213 0.86355321 1281.8636 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 7 1.4566351 0.00021920788 -0.21453038 0.91665469 0.99730324 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.322793-0.2145300.006074 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 0 0.84749362 406.69352 -0.15407392 0.86173225 1555.5060 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 6 1.4784862 167.30871 -0.14576093 0.95584929 1576.2934 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 13 1.1634117 209.87293 -0.10504409 0.94528670 1470.3007 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 18 0.56980524 227.72993 -0.18171470 0.97129985 1459.7336 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 26 1.2587963 292.44733 -0.17482988 0.94630992 1538.7870 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 52 5.1625338 224.17488 -0.10850839 0.93907805 1491.6194 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 60 0.46579763 279.83024 -0.14321097 0.96129891 1526.9196 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 63 1.3547933 224.43954 -0.17277220 0.93142960 1548.7545 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 82 3.1841265 256.01609 -0.16092631 0.88656430 1584.4731 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 84 1.6058659 208.21511 -0.20150324 0.98094746 1539.1623 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 109 1.8906101 209.04461 -0.13579859 0.95952414 1525.3874 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 114 0.38608647 233.06695 -0.15729969 0.89345772 1615.8129 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 131 1.0709445 306.26936 -0.18857052 0.88391390 1543.9528 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 153 4.4894730 332.37352 -0.19141927 0.94285805 1582.1313 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 176 0.61539466 345.01400 -0.13226611 0.91464789 1558.8747 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 180 3.3152193 349.49949 -0.14279403 0.91425879 1588.8790 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 184 1.6815449 358.11597 -0.20636789 0.94329454 1569.9429 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 185 4.1205982 349.28228 -0.20568182 0.88261927 1601.0313 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 186 4.4040270 293.51158 -0.20634980 0.93855568 1624.2530 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 201 2.1014571 302.77465 -0.11927606 0.91930220 1555.4322 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 204 0.82956317 345.54888 -0.15013936 0.86147091 1612.8601 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 206 1.4832546 313.92242 -0.19248591 0.90706101 1631.5146 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 213 3.3748328 293.44815 -0.14843461 0.94138161 1595.8477 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 235 4.5261959 296.53062 -0.18879555 0.92317229 1578.4563 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 257 2.3007653 349.91910 -0.15415213 0.86492329 1679.4570 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 259 2.9721177 370.47415 -0.13926216 0.90021366 1686.7797 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 260 4.2407856 315.79361 -0.15705491 0.91322006 1621.1112 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 261 1.9833292 347.24054 -0.17686726 0.94414212 1615.6498 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 265 1.2064761 322.49171 -0.17377729 0.91691849 1587.2285 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 271 1.3004259 298.52864 -0.18996775 0.90221471 1603.3744 LOCATESKYLINES_2: sdR-r2-00034753.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 281 1.8108483 285.94274 -0.17384212 0.94757811 1628.1485 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 284 3.3810185 303.38596 -0.15045923 0.96051541 1523.7119 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 307 0.36893335 358.78978 -0.15302794 0.89669192 1600.1409 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 8 308 1.8963573 436.69769 -0.18698879 0.90901265 1616.8015 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 8 1.5551386 0.00027248036 -0.16295208 0.91936852 0.99909440 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.271215-0.1629520.004668 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 0 3.4150780 365.24150 -0.17086540 0.96478826 1702.8853 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 6 2.4733000 187.75806 -0.14098817 0.96462964 1684.1137 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 13 1.5525941 205.96052 -0.13825701 0.93175297 1726.1208 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 18 0.76618841 257.94684 -0.13468971 0.96158296 1689.7842 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 26 0.49540245 339.09061 -0.14939356 0.93787917 1698.0016 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 52 3.1701029 231.54341 -0.12288733 1.0043038 1695.5971 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 60 1.4869412 285.53503 -0.19795625 0.97095341 1722.6738 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 63 19.007720 279.15788 -0.21140158 0.95613460 1740.7975 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 82 2.6598666 246.47567 -0.13097141 0.92083057 1795.0489 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 84 0.98314443 209.12208 -0.20684725 0.93071916 1857.7076 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 109 2.5597271 192.52254 -0.15927983 0.97957950 1711.6774 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 114 1.0979088 209.63954 -0.22264303 0.96163973 1758.8199 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 131 4.5036478 287.46000 -0.21301759 0.93232510 1805.7317 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 153 0.99860142 335.93713 -0.13630384 0.94449902 1806.2555 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 176 1.7566807 347.74745 -0.14943340 0.93186886 1718.1356 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 180 1.9359801 335.96631 -0.23725050 0.93673306 1795.6435 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 184 0.37036804 337.95086 -0.18585148 1.0019145 1704.5746 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 185 1.4435290 340.33995 -0.18088321 0.93695336 1751.0194 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 186 1.1011151 311.45443 -0.17239565 0.91858625 1860.2533 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 201 2.9371935 299.06816 -0.19572456 0.96501779 1730.1941 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 204 4.0364528 309.37270 -0.18016197 0.93191230 1793.0739 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 206 2.6067828 336.57720 -0.19417560 0.90226027 1812.6103 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 213 1.4771997 316.92385 -0.13234486 0.90809023 1818.6329 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 235 1.6593323 316.25780 -0.14061451 0.87906573 1774.2122 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 257 4.1157144 339.13016 -0.14429174 0.87715031 1848.4546 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 259 1.0481075 399.62392 -0.13274915 0.90892962 1812.4607 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 260 1.0415675 325.32429 -0.16986572 0.88235343 1864.1757 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 261 3.8863507 354.92326 -0.20988185 0.93429169 1785.9460 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 265 0.82941909 330.65276 -0.17402083 0.91033317 1832.3168 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 271 2.6587894 324.61009 -0.13396305 0.88840301 1807.1014 LOCATESKYLINES_2: sdR-r2-00034753.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 281 2.4886116 323.02391 -0.20691196 0.90439765 1782.1394 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 284 2.3076737 296.10101 -0.13078862 0.92253579 1813.6168 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 307 1.8565360 349.82362 -0.16567215 0.96010190 1739.1301 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 9 308 1.2311457 393.19202 -0.19253285 0.93313911 1849.9201 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 9 1.8907675 0.00030281274 -0.16867582 0.93188838 0.99905538 LOCATESKYLINES_2: sdR-r2-00034753.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034753.fit: comb2 l,chi^2/dof,fit: 9 1.5882428 -0.00040030647 -0.17039283 0.93227830 0.99873448 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.278656-0.1703930.004328 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 0 1.4545338 257.10937 -0.18708991 0.90921385 1498.8582 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 6 1.3998203 62.005281 -0.16034705 0.94771713 1571.0825 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 13 1.7843254 105.45060 -0.10227835 0.97458468 1531.1619 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 18 0.77462160 122.70180 -0.089082100 1.0182063 1484.6106 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 26 1.9864860 164.44360 -0.10576374 0.95284531 1645.2574 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 52 0.49476210 139.97751 -0.13663855 1.0132396 1522.6965 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 60 1.3828366 144.38794 -0.095425218 0.99634934 1593.2947 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 63 1.2241419 164.91217 -0.10872521 0.96593542 1602.7019 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 82 0.57147851 81.822912 -0.12109594 1.0305717 1532.9606 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 84 2.6309240 70.704551 -0.15945309 0.99866300 1596.2622 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 109 1.3349214 105.56043 -0.13105898 1.0074849 1554.4245 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 114 1.0659215 119.89451 -0.16923733 0.92999446 1626.3650 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 131 1.4711362 156.13173 -0.13124450 0.97685885 1598.7013 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 153 1.1830953 168.06589 -0.14245028 0.95190700 1654.5507 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 176 0.51885308 201.50484 -0.16014962 0.94231992 1638.3421 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 180 1.4552050 204.51824 -0.10299325 0.94625862 1670.1909 LOCATESKYLINES_2: sdR-r2-00034753.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 185 1.0923690 183.48293 -0.18215438 0.93820328 1694.9727 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 186 1.4418100 196.66115 -0.16226462 0.95689444 1661.5016 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 201 0.90759123 186.65353 -0.16427804 0.93824055 1592.8681 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 204 2.0460425 172.35927 -0.12418011 0.94785401 1679.8802 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 206 3.6844456 193.97263 -0.14185378 0.96091784 1633.2444 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 213 0.99695957 170.16682 -0.15980159 0.90769882 1779.0842 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 235 2.4702303 148.28965 -0.14255857 0.99111740 1640.8919 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 257 6.2326223 203.44209 -0.10832714 0.90038937 1692.2456 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 259 1.0605432 231.94565 -0.14567746 0.94369903 1636.1078 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 260 1.0709053 201.78350 -0.14087753 0.92504826 1679.8795 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 261 1.8509147 221.51492 -0.16456651 0.92870084 1656.9737 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 265 3.1168545 198.99903 -0.16673931 0.90722902 1684.7759 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 271 208.44358 102.73593 0.34291611 1.3133761 1818.6461 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 276 2.4064022 197.66470 -0.11407648 1.0318646 1489.2413 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 281 3.2928770 168.51001 -0.13949102 0.94782553 1631.3367 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 284 3.0146019 181.43418 -0.12112015 0.90395425 1677.9953 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 307 4.0892044 224.90214 -0.15739928 0.91034831 1677.0408 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 10 308 3.2183828 245.25010 -0.10393961 0.93964575 1676.9674 LOCATESKYLINES_2: sdR-r2-00034753.fit: trimmed 1high points: 0.17556704 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 10 6.0636093 0.0017141549 -0.13477615 0.95431988 0.99620701 LOCATESKYLINES_2: sdR-r2-00034753.fit: sigma-clipped to 301 of 305 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034753.fit: comb2 l,chi^2/dof,fit: 10 1.5817737 0.00073880447 -0.14114290 0.95069984 0.99699385 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 301 of 305 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.249406-0.1411430.004550 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 0 1.9824345 246.97142 -0.15960452 0.93346559 1755.0482 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 6 3.0765088 89.848336 -0.13998579 0.93764032 1782.3116 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 13 1.4780231 106.43423 -0.095554631 0.98479282 1785.2320 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 18 1.2639782 125.61938 -0.14283015 1.0019584 1758.1740 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 26 1.3091774 160.95795 -0.15971613 0.94278179 1935.6337 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 52 1.0092660 149.86116 -0.13744251 0.96687278 1764.6633 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 60 1.0198856 130.66269 -0.087208635 1.0264066 1773.9376 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 63 2.3715395 135.45491 -0.097813845 0.99969782 1776.7736 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 82 1.2727232 98.950955 -0.14620994 0.96174507 1905.7168 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 84 1.2686810 116.56644 -0.15667271 0.96128382 1757.5759 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 109 0.93410405 117.28915 -0.10184366 1.0008552 1800.1874 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 114 0.64333554 129.12748 -0.16455690 0.98660717 1808.8713 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 131 2.6536139 160.27366 -0.12711560 0.95225913 1851.9850 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 153 0.76554362 174.74043 -0.13195446 0.92448096 1871.1339 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 176 0.31869124 178.00037 -0.16366020 0.98939883 1773.3750 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 180 2.9230324 228.97919 -0.089686839 0.92578494 1783.7961 LOCATESKYLINES_2: sdR-r2-00034753.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 185 4.7389347 205.66842 -0.15894586 0.90930376 1917.4777 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 186 3.5734738 181.62288 -0.17879153 0.94007594 1910.8444 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 201 2.4072824 201.88857 -0.13450834 0.94796416 1735.2700 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 204 3.6149707 173.42829 -0.16434215 0.94608680 1837.7673 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 206 2.0156233 185.54401 -0.13618480 0.92331100 1882.9498 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 213 5.1886559 186.66313 -0.12782631 0.88657892 1947.8675 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 235 2.3102721 159.87076 -0.17435960 0.89529695 1848.9335 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 257 2.5226249 213.99308 -0.12041865 0.91603361 1879.2368 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 259 1.7382882 204.11269 -0.14035879 0.94165069 1959.7277 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 260 3.9373601 187.25818 -0.18463826 0.90182470 1932.2221 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 261 3.3924343 233.81804 -0.15368424 0.93234233 1927.2969 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 265 3.8468752 184.52706 -0.18384835 0.92533179 1869.6626 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 271 8.1355732 190.01621 -0.14257896 0.90461226 1925.5503 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 276 3.6626898 162.91608 -0.14905503 0.91266374 1937.3546 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 281 6.3445039 158.03905 -0.21864151 0.92211082 1957.6801 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 284 3.1697756 198.50486 -0.16801060 0.93121823 1860.3738 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 307 5.4376103 210.93346 -0.16353017 0.92042291 1957.6820 LOCATESKYLINES_2: sdR-r2-00034753.fit: l,f,chi^2/dof,c: 11 308 0.46684523 257.34815 -0.14901730 0.93237815 1877.1197 LOCATESKYLINES_2: sdR-r2-00034753.fit: comb1 l,chi^2/dof,fit: 11 2.0376749 0.00042095833 -0.14677745 0.93840378 1.0001928 LOCATESKYLINES_2: sdR-r2-00034753.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034753.fit: comb2 l,chi^2/dof,fit: 11 1.8722497 0.00055383096 -0.14657147 0.93886144 0.99963203 LOCATESKYLINES_2: sdR-r2-00034753.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034753.fit: offset, refoff, sigma: -0.254835-0.1465710.004064 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 FITMEANX: sdR-r2-00034753.fit: In skyline number 0 std-dev is 0.022718742 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 1 std-dev is 0.027002856 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 2 std-dev is 0.046804434 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 3 std-dev is 0.031629652 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 4 std-dev is 0.039981355 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 5 std-dev is 0.033735021 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 6 std-dev is 0.027169051 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 7 std-dev is 0.027423518 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 8 std-dev is 0.024473921 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 9 std-dev is 0.026772804 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 10 std-dev is 0.025011609 pix FITMEANX: sdR-r2-00034753.fit: In skyline number 11 std-dev is 0.024833728 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 6300.3040 coadded std-dev is 0.00465920 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 6363.7760 coadded std-dev is 0.0110027 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 6553.6100 coadded std-dev is 0.0316388 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 6923.2100 coadded std-dev is 0.0179601 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 6949.0300 coadded std-dev is 0.0162783 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 7571.7500 coadded std-dev is 0.0138037 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 7794.1200 coadded std-dev is 0.00739291 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 7821.5100 coadded std-dev is 0.00607443 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 8399.1600 coadded std-dev is 0.00466779 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 8430.1700 coadded std-dev is 0.00432836 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 8885.8300 coadded std-dev is 0.00454974 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: In sky feature at 8919.6100 coadded std-dev is 0.00406442 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034753.fit: Median arc shift = -0.29246538 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: Dispersion in arc shift = 0.025822521 pix LOCATESKYLINES_2: sdR-r2-00034753.fit: Maximum sky-line shift is 0.32893129 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Number of sky fibers = 30 ROW NITER SIG(med) CHI^2 .0000 4 0.87 1.57 .0001 7 0.87 0.79 .0002 9 0.87 1.11 .0003 9 0.87 0.80 .0004 12 0.87 1.18 .0005 17 0.87 1.12 .0006 8 0.87 1.04 .0007 11 0.87 0.91 .0008 2 0.87 1.04 .0009 5 0.87 0.89 .0010 8 0.87 0.88 .0011 12 0.87 1.35 .0012 11 0.87 1.61 .0013 6 0.87 0.82 .0014 8 0.87 0.94 .0015 3 0.87 0.85 .0016 10 0.87 1.27 .0017 5 0.87 0.87 .0018 3 0.87 1.24 .0019 6 0.87 0.83 .0020 10 0.84 1.25 .0021 1 0.84 1.56 .0022 15 0.84 0.97 .0023 14 0.84 1.39 .0024 6 0.84 0.91 .0025 7 0.84 0.95 .0026 2 0.84 1.69 .0027 13 0.84 1.50 .0028 7 0.84 1.02 .0029 9 0.84 0.89 .0030 5 0.84 1.18 .0031 9 0.84 1.04 .0032 14 0.84 1.26 .0033 8 0.84 0.97 .0034 13 0.84 1.38 .0035 12 0.84 1.17 .0036 3 0.84 0.95 .0037 11 0.84 1.01 .0038 9 0.84 0.90 .0039 7 0.84 1.08 .0040 18 0.88 0.94 .0041 8 0.88 0.99 .0042 6 0.88 1.08 .0043 6 0.88 0.92 .0044 4 0.88 1.03 .0045 12 0.88 1.08 .0046 17 0.88 0.93 .0047 8 0.88 1.00 .0048 2 0.88 1.03 .0049 8 0.88 0.93 .0050 6 0.88 0.90 .0051 11 0.88 1.20 .0052 3 0.88 1.43 .0053 8 0.88 0.84 .0054 12 0.88 0.94 .0055 12 0.88 0.89 .0056 10 0.88 0.92 .0057 6 0.88 0.90 .0058 7 0.88 0.96 .0059 6 0.88 1.14 .0060 2 0.85 1.58 .0061 8 0.85 1.01 .0062 12 0.85 0.93 .0063 5 0.85 1.11 .0064 20 0.85 0.89 .0065 6 0.85 1.02 .0066 11 0.85 0.98 .0067 12 0.85 1.09 .0068 7 0.85 0.90 .0069 16 0.85 1.31 .0070 13 0.85 1.20 .0071 4 0.85 0.95 .0072 8 0.85 1.14 .0073 8 0.85 1.00 .0074 6 0.85 1.03 .0075 10 0.85 1.09 .0076 20 0.85 1.23 .0077 10 0.85 1.14 .0078 13 0.85 1.08 .0079 7 0.85 0.88 .0080 12 0.86 1.29 .0081 10 0.86 0.96 .0082 3 0.86 1.44 .0083 6 0.86 1.00 .0084 2 0.86 1.35 .0085 5 0.86 0.92 .0086 14 0.86 1.44 .0087 9 0.86 0.94 .0088 11 0.86 1.01 .0089 6 0.86 1.00 .0090 11 0.86 0.97 .0091 6 0.86 0.93 .0092 3 0.86 1.01 .0093 6 0.86 1.04 .0094 7 0.86 1.03 .0095 6 0.86 0.95 .0096 11 0.86 1.03 .0097 15 0.86 1.16 .0098 9 0.86 1.08 .0099 7 0.86 0.91 .0100 7 0.85 1.02 .0101 10 0.85 1.33 .0102 14 0.85 1.49 .0103 10 0.85 0.91 .0104 7 0.85 1.18 .0105 19 0.85 0.79 .0106 5 0.85 0.84 .0107 10 0.85 1.24 .0108 7 0.85 0.89 .0109 4 0.85 1.47 .0110 3 0.85 0.87 .0111 10 0.85 0.88 .0112 13 0.85 1.10 .0113 6 0.85 1.10 .0114 2 0.85 1.57 .0115 4 0.85 0.87 .0116 11 0.85 0.96 .0117 12 0.85 1.41 .0118 7 0.85 0.86 .0119 11 0.85 0.93 .0120 8 0.82 0.99 .0121 2 0.82 1.56 .0122 8 0.82 1.35 .0123 6 0.82 1.04 .0124 8 0.82 0.94 .0125 6 0.82 1.08 .0126 4 0.82 1.08 .0127 6 0.82 1.02 .0128 12 0.82 1.16 .0129 2 0.82 1.18 .0130 13 0.82 1.32 .0131 4 0.82 1.51 .0132 10 0.82 1.52 .0133 6 0.82 0.97 .0134 4 0.82 1.11 .0135 10 0.82 1.00 .0136 4 0.82 0.83 .0137 7 0.82 1.15 .0138 5 0.82 0.89 .0139 11 0.82 1.27 .0140 7 0.82 0.94 .0141 20 0.82 0.81 .0142 20 0.82 1.09 .0143 7 0.82 0.97 .0144 12 0.82 0.97 .0145 4 0.82 0.90 .0146 5 0.82 0.89 .0147 11 0.82 0.96 .0148 9 0.82 1.15 .0149 20 0.82 1.24 .0150 11 0.82 1.11 .0151 6 0.82 1.15 .0152 9 0.82 1.00 .0153 4 0.82 1.38 .0154 20 0.82 1.51 .0155 13 0.82 2.01 .0156 8 0.82 0.97 .0157 17 0.82 1.68 .0158 7 0.82 1.14 .0159 14 0.82 0.92 .0160 8 0.82 1.06 .0161 8 0.82 1.09 .0162 9 0.82 1.11 .0163 8 0.82 0.96 .0164 6 0.82 1.02 .0165 3 0.82 1.43 .0166 4 0.82 0.83 .0167 10 0.82 0.98 .0168 4 0.82 0.84 .0169 5 0.82 0.88 .0170 14 0.82 1.02 .0171 11 0.82 0.92 .0172 1 0.82 1.67 .0173 5 0.82 0.90 .0174 3 0.82 1.19 .0175 5 0.82 0.94 .0176 7 0.82 1.37 .0177 5 0.82 0.90 .0178 5 0.82 1.32 .0179 7 0.82 1.46 .0180 5 0.79 1.72 .0181 8 0.79 0.93 .0182 2 0.79 1.77 .0183 11 0.79 0.97 .0184 3 0.79 1.03 .0185 6 0.79 1.44 .0186 5 0.79 1.50 .0187 4 0.79 1.30 .0188 9 0.79 1.17 .0189 6 0.79 1.01 .0190 4 0.79 1.23 .0191 6 0.79 1.37 .0192 2 0.79 1.71 .0193 2 0.79 1.32 .0194 2 0.79 1.76 .0195 2 0.79 1.62 .0196 2 0.79 1.50 .0197 12 0.79 1.08 .0198 5 0.79 0.99 .0199 3 0.79 1.40 .0200 5 0.80 1.12 .0201 6 0.80 1.50 .0202 8 0.80 1.86 .0203 8 0.80 0.90 .0204 6 0.80 1.43 .0205 17 0.80 1.11 .0206 3 0.80 1.66 .0207 14 0.80 1.83 .0208 7 0.80 1.09 .0209 12 0.80 1.56 .0210 8 0.80 1.13 .0211 11 0.80 0.97 .0212 12 0.80 0.95 .0213 2 0.80 1.88 .0214 4 0.80 0.98 .0215 10 0.80 1.40 .0216 14 0.80 1.53 .0217 12 0.80 1.37 .0218 4 0.80 0.96 .0219 7 0.80 1.13 .0220 9 0.78 1.21 .0221 5 0.78 1.08 .0222 14 0.78 0.85 .0223 19 0.78 0.89 .0224 9 0.78 0.34 .0225 5 0.78 0.89 .0226 20 0.78 0.58 .0227 6 0.78 0.76 .0228 20 0.78 0.81 .0229 4 0.78 0.80 .0230 5 0.78 0.86 .0231 6 0.78 1.05 .0232 3 0.78 1.21 .0233 4 0.78 0.87 .0234 8 0.78 1.20 .0235 3 0.78 1.45 .0236 13 0.78 0.84 .0237 10 0.78 0.97 .0238 20 0.78 0.85 .0239 2 0.78 1.55 .0240 12 0.80 0.87 .0241 0 0.80 0.00 .0242 15 0.80 1.26 .0243 4 0.80 1.12 .0244 12 0.80 1.03 .0245 9 0.80 1.28 .0246 7 0.80 0.97 .0247 4 0.80 1.04 .0248 9 0.80 1.06 .0249 6 0.80 1.09 .0250 4 0.80 1.13 .0251 13 0.80 1.20 .0252 10 0.80 0.96 .0253 10 0.80 1.07 .0254 6 0.80 1.29 .0255 6 0.80 1.27 .0256 8 0.80 0.91 .0257 2 0.80 2.10 .0258 7 0.80 1.00 .0259 4 0.80 1.69 .0260 3 0.80 1.56 .0261 4 0.80 1.37 .0262 17 0.80 0.98 .0263 0 0.80 0.00 .0264 5 0.80 1.14 .0265 4 0.80 1.44 .0266 10 0.80 1.26 .0267 5 0.80 0.99 .0268 9 0.80 0.90 .0269 9 0.80 1.17 .0270 10 0.80 1.16 .0271 5 0.80 1.35 .0272 6 0.80 0.98 .0273 7 0.80 1.08 .0274 9 0.80 0.92 .0275 19 0.80 1.00 .0276 6 0.80 0.55 .0277 15 0.80 0.94 .0278 12 0.80 1.45 .0279 9 0.80 1.06 .0280 7 0.82 1.15 .0281 2 0.82 1.68 .0282 8 0.82 1.10 .0283 7 0.82 1.06 .0284 9 0.82 1.14 .0285 3 0.82 1.01 .0286 6 0.82 1.05 .0287 2 0.82 1.56 .0288 6 0.82 0.98 .0289 10 0.82 0.98 .0290 9 0.82 1.05 .0291 12 0.82 1.17 .0292 0 0.82 0.00 .0293 12 0.82 0.89 .0294 5 0.82 1.18 .0295 5 0.82 0.80 .0296 11 0.82 0.93 .0297 8 0.82 1.00 .0298 17 0.82 1.10 .0299 10 0.82 1.00 .0300 6 0.84 1.04 .0301 4 0.84 0.95 .0302 7 0.84 0.89 .0303 16 0.84 1.43 .0304 4 0.84 0.99 .0305 10 0.84 0.88 .0306 8 0.84 0.97 .0307 4 0.84 1.34 .0308 7 0.84 0.95 .0309 11 0.84 0.82 .0310 12 0.84 0.92 .0311 0 0.84 0.00 .0312 20 0.84 0.92 .0313 13 0.84 1.37 .0314 9 0.84 0.97 .0315 15 0.84 1.16 .0316 20 0.84 0.82 .0317 8 0.84 0.92 .0318 8 0.84 0.95 .0319 3 0.84 0.58 EXTRACT_IMAGE: sdR-r2-00034753.fit: masked 2826 pixels SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 0 median sigma(arc)= 0.92538131 sigma(sky)= 1.0958829 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 0 sigma^2(add)= 0.35099750 +/- 0.16412616 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 1 median sigma(arc)= 0.91722193 sigma(sky)= 0.84473859 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 1 sigma^2(add)= -0.083201552 +/- 0.32704914 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 2 median sigma(arc)= 0.89494847 sigma(sky)= -1882.5260 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 2 sigma^2(add)= 2772259.9 +/- 5402789.2 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 3 median sigma(arc)= 0.86115206 sigma(sky)= 1.2887512 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 3 sigma^2(add)= 0.91929731 +/- 0.37494984 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 4 median sigma(arc)= 0.85928194 sigma(sky)= 1.1646620 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 4 sigma^2(add)= 0.63437415 +/- 0.30357662 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 5 median sigma(arc)= 0.83484986 sigma(sky)= 0.62954849 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 5 sigma^2(add)= -0.29218046 +/- 0.30619779 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 6 median sigma(arc)= 0.83625065 sigma(sky)= 0.86520377 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 6 sigma^2(add)= 0.068328745 +/- 0.13298293 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 7 median sigma(arc)= 0.83681085 sigma(sky)= 0.84760812 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 7 sigma^2(add)= 0.055626901 +/- 0.13621447 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 8 median sigma(arc)= 0.86942341 sigma(sky)= 0.85141291 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 8 sigma^2(add)= -0.031825894 +/- 0.085362829 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 9 median sigma(arc)= 0.87234075 sigma(sky)= 0.90463403 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 9 sigma^2(add)= 0.063615197 +/- 0.12118757 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 10 median sigma(arc)= 0.92983578 sigma(sky)= 0.88650840 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 10 sigma^2(add)= -0.054125298 +/- 0.098428371 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 11 median sigma(arc)= 0.93522491 sigma(sky)= 0.90490148 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Line # 11 sigma^2(add)= -0.054358464 +/- 0.13520814 SKYLINE_DISPERSION: sdR-r2-00034753.fit: Flexure sigma^2(add) = 0.051560639 +/- 0.12756277 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034753.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034753.fit: Heliocentric correction = 22.851466 km/s FITVACSET: sdR-r2-00034753.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034753.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034753.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034753.fit: Number of pixels rejected: 5 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034753.fit: Number of sky fibers = 29 SKYSUBTRACT: sdR-r2-00034753.fit: Airmass range = 1.14072 1.17168 SKYSUBTRACT: sdR-r2-00034753.fit: Discarding 0.00402411 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 2046 Bin 45 of 2046 Bin 46 of 2046 Bin 47 of 2046 Bin 48 of 2046 Bin 49 of 2046 Bin 50 of 2046 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SKYSUBTRACT: sdR-r2-00034753.fit: Median sky-residual chi2 = 3.84206 SKYSUBTRACT: sdR-r2-00034753.fit: Max sky-residual chi2 = 11.9950 EXTRACT_OBJECT: sdR-r2-00034753.fit: Calling skysubtract again; masked skyfibers 13 109 114 308 SKYSUBTRACT: sdR-r2-00034753.fit: Number of sky fibers = 25 SKYSUBTRACT: sdR-r2-00034753.fit: Airmass range = 1.14072 1.17168 SKYSUBTRACT: sdR-r2-00034753.fit: Discarding 0.00375000 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 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Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034753.fit: Median sky-residual chi2 = 2.51231 SKYSUBTRACT: sdR-r2-00034753.fit: Max sky-residual chi2 = 7.85408 QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 1 = 39.3087 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 19 = -82.5464 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 27 = 11.5363 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 53 = -72.1939 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 61 = -30.8976 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 64 = -57.9434 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 83 = -72.4643 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 85 = -90.5587 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 177 = 34.7727 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 181 = 39.3700 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 186 = 21.2577 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 187 = 21.3618 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 202 = 10.8491 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 205 = 14.8145 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 207 = 17.8086 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 214 = 15.9073 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 258 = 29.7252 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 266 = 23.0514 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 272 = 13.0743 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 308 = 43.6889 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Median sky-residual chi = 1.59411 QAPLOT_SKYSUB: sdR-r2-00034753.fit: Max sky-residual chi = 3.04327 at 6565.0889 Ang SKYSUBTRACT: sdR-r2-00034753.fit: Number of sky fibers = 25 SKYSUBTRACT: sdR-r2-00034753.fit: Airmass range = 1.14072 1.17168 SKYSUBTRACT: sdR-r2-00034753.fit: Discarding 0.00375000 (fractional) of the sky pixels as bad highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 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of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034753.fit: Median sky-residual chi2 = 2.15179 SKYSUBTRACT: sdR-r2-00034753.fit: Max sky-residual chi2 = 7.07183 QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 1 = 74.9482 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 19 = -50.0951 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 27 = 42.5688 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 53 = -46.4751 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 64 = -32.4762 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 83 = -53.0298 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 85 = -70.1371 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 177 = 34.9983 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 181 = 38.1416 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 186 = 19.4356 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 187 = 18.6342 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 207 = 10.9700 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 236 = -14.6216 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 258 = 10.6641 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 261 = -13.1350 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 282 = -23.6845 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 285 = -22.7771 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Warning: Median sky-sub flux in sky fiber 308 = 10.5310 electrons QAPLOT_SKYSUB: sdR-r2-00034753.fit: Median sky-residual chi = 1.46700 QAPLOT_SKYSUB: sdR-r2-00034753.fit: Max sky-residual chi = 2.81638 at 6565.0889 Ang QAPLOT_SKYLINE: sdR-r2-00034753.fit: Airmass range = 1.14 1.17 QAPLOT_SKYLINE: sdR-r2-00034753.fit: Flux dispersion for skyline 7343.0 = 5.05 % QAPLOT_SKYLINE: sdR-r2-00034753.fit: Airmass range = 1.14 1.17 QAPLOT_SKYLINE: sdR-r2-00034753.fit: Flux dispersion for skyline 8888.3 = 2.60 % SPADD_GUIDERINFO: sdR-r2-00034753.fit: Number of guider frames = 11 SPREDUCE: sdR-r2-00034753.fit: Elapsed time = 266. seconds SPREDUCE: sdR-r2-00034754.fit: Reading object sdR-r2-00034754.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034754.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034754.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034754.fit: Measured read-noise in DN for amp# 2 = 4.56101 SDSSPROC: sdR-r2-00034754.fit: Measured bias value in DN for amp# 2 = 470.359 SDSSPROC: sdR-r2-00034754.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034754.fit: Amp #2 Number of pix below bias-5*sigma= 449. DN is 0 SDSSPROC: sdR-r2-00034754.fit: Measured read-noise in DN for amp# 3 = 3.74599 SDSSPROC: sdR-r2-00034754.fit: Measured bias value in DN for amp# 3 = 1319.65 SDSSPROC: sdR-r2-00034754.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034754.fit: Amp #3 Number of pix below bias-5*sigma= 1299. DN is 0 SDSSPROC: sdR-r2-00034754.fit: Number of bleading columns = 1 SDSSPROC: sdR-r2-00034754.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034754.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034754.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034754.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034754.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034754.fit: Science 25-th-percentile = 778.966 .0000.0001.0002.0003.0004.0005.0006.0007.0008.0009.0010.0011.0012.0013.0014.0015.0016.0017.0018.0019.0020.0021.0022.0023.0024.0025.0026.0027.0028.0029.0030.0031.0032.0033.0034.0035.0036.0037.0038.0039.0040.0041.0042.0043.0044.0045.0046.0047.0048.0049.0050.0051.0052.0053.0054.0055.0056.0057.0058.0059.0060.0061.0062.0063.0064.0065.0066.0067.0068.0069.0070.0071.0072.0073.0074.0075.0076.0077.0078.0079.0080.0081.0082.0083.0084.0085.0086.0087.0088.0089.0090.0091.0092.0093.0094.0095.0096.0097.0098.0099.0100.0101.0102.0103.0104.0105.0106.0107.0108.0109.0110.0111.0112.0113.0114.0115.0116.0117.0118.0119.0120.0121.0122.0123.0124.0125.0126.0127.0128.0129.0130.0131.0132.0133.0134.0135.0136.0137.0138.0139.0140.0141.0142.0143.0144.0145.0146.0147.0148.0149.0150.0151.0152.0153.0154.0155.0156.0157.0158.0159.0160.0161.0162.0163.0164.0165.0166.0167.0168.0169.0170.0171.0172.0173.0174.0175.0176.0177.0178.0179.0180.0181.0182.0183.0184.0185.0186.0187.0188.0189.0190.0191.0192.0193.0194.0195.0196.0197.0198.0199.0200.0201.0202 EXTRACT_OBJECT: sdR-r2-00034754.fit: Whopping fibers: 12 14 22 27 34 70 76 86 112 141 149 155 157 197 226 275 303 316 EXTRACT_OBJECT: sdR-r2-00034754.fit: Median counts in all fibers = 15578.1 EXTRACT_OBJECT: sdR-r2-00034754.fit: Number of bright fibers = 18 EXTRACT_OBJECT: sdR-r2-00034754.fit: Sky fiber median 1323.33 EXTRACT_OBJECT: sdR-r2-00034754.fit: 5% and 95% count levels 1219.81 27976.5 MATCH_TRACE: sdR-r2-00034754.fit: Iteration: 0 Pixels Rejected: 20715 Finished? 0 MATCH_TRACE: sdR-r2-00034754.fit: Iteration: 1 Pixels Rejected: 300 Finished? 0 MATCH_TRACE: sdR-r2-00034754.fit: Iteration: 2 Pixels Rejected: 10 Finished? 0 MATCH_TRACE: sdR-r2-00034754.fit: Iteration: 3 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: sdR-r2-00034754.fit: Iteration: 4 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-r2-00034754.fit: Warning: Large number of pixels rejected! 21026 EXTRACT_OBJECT: sdR-r2-00034754.fit: Shifting traces by match_trace -0.00714111 EXTRACT_OBJECT: sdR-r2-00034754.fit: Extracting frame sdR-r2-00034754.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034754.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 1 0.91 4.83 .0004 2 0.91 4.68 .0005 3 0.91 4.68 .0006 3 0.91 4.45 .0007 2 0.91 4.59 .0008 2 0.91 4.95 .0009 2 0.91 4.71 .0010 2 0.91 4.68 .0011 2 0.91 4.96 .0012 2 0.91 5.01 .0013 3 0.91 5.45 .0014 1 0.91 5.14 .0015 3 0.91 5.13 .0016 2 0.91 5.64 .0017 2 0.91 5.43 .0018 1 0.91 5.25 .0019 2 0.91 5.19 .0020 1 0.91 5.43 .0021 2 0.91 5.81 .0022 2 0.91 5.38 .0023 4 0.91 5.42 .0024 1 0.91 5.37 .0025 1 0.91 5.43 .0026 1 0.91 5.57 .0027 1 0.91 5.65 .0028 1 0.91 6.05 .0029 2 0.91 6.02 .0030 3 0.91 5.85 .0031 3 0.91 6.68 .0032 1 0.91 5.83 .0033 3 0.91 5.68 .0034 1 0.91 6.02 .0035 1 0.91 5.85 .0036 1 0.91 6.11 .0037 2 0.91 5.75 .0038 1 0.91 5.96 .0039 2 0.91 5.67 .0040 1 0.91 6.13 .0041 2 0.91 5.51 .0042 2 0.91 5.73 .0043 2 0.91 5.73 .0044 2 0.91 6.41 .0045 2 0.91 5.82 .0046 2 0.91 5.99 .0047 2 0.91 6.00 .0048 2 0.91 5.75 .0049 2 0.91 5.75 .0050 2 0.91 5.70 .0051 2 0.91 5.75 .0052 2 0.91 5.86 .0053 2 0.91 5.92 .0054 2 0.91 5.93 .0055 2 0.91 6.02 .0056 2 0.91 5.80 .0057 2 0.91 5.75 .0058 2 0.91 5.94 .0059 2 0.91 6.14 .0060 2 0.91 5.85 .0061 2 0.91 6.02 .0062 2 0.91 6.00 .0063 3 0.91 6.29 .0064 2 0.91 6.60 .0065 3 0.91 6.81 .0066 2 0.91 6.79 .0067 2 0.91 6.35 .0068 2 0.91 5.97 .0069 2 0.91 6.50 .0070 2 0.91 6.53 .0071 2 0.91 6.49 .0072 2 0.91 6.34 .0073 3 0.91 6.48 .0074 3 0.91 6.57 .0075 2 0.91 6.49 .0076 2 0.91 6.32 .0077 2 0.91 6.56 .0078 2 0.91 6.69 .0079 2 0.91 6.52 .0080 2 0.91 6.70 .0081 3 0.91 6.81 .0082 2 0.91 6.69 .0083 3 0.91 6.68 .0084 3 0.91 6.31 .0085 2 0.91 6.54 .0086 2 0.91 6.80 .0087 2 0.91 6.62 .0088 3 0.91 6.84 .0089 2 0.91 6.76 .0090 2 0.91 6.53 .0091 2 0.91 6.58 .0092 2 0.91 7.09 .0093 3 0.91 6.86 .0094 2 0.91 6.60 .0095 2 0.91 6.83 .0096 2 0.91 6.83 .0097 2 0.91 6.66 .0098 2 0.91 6.73 .0099 2 0.91 6.77 .0100 2 0.91 7.12 .0101 2 0.91 8.56 .0102 3 0.91 6.76 .0103 3 0.91 6.36 .0104 3 0.91 6.18 .0105 3 0.91 6.62 .0106 3 0.91 7.05 .0107 3 0.91 7.11 .0108 3 0.91 6.45 .0109 3 0.91 6.90 .0110 3 0.91 6.63 .0111 3 0.91 6.98 .0112 3 0.91 6.83 .0113 3 0.91 6.81 .0114 3 0.91 6.55 .0115 3 0.91 6.85 .0116 3 0.91 6.99 .0117 3 0.91 7.02 .0118 3 0.91 7.07 .0119 2 0.91 6.55 .0120 3 0.91 6.96 .0121 2 0.91 6.73 .0122 2 0.91 6.92 .0123 2 0.91 6.60 .0124 2 0.91 7.06 .0125 2 0.91 6.89 .0126 2 0.91 7.54 .0127 2 0.91 7.43 .0128 2 0.91 7.30 .0129 2 0.91 7.43 .0130 2 0.91 7.16 .0131 2 0.91 7.09 .0132 2 0.91 7.24 .0133 2 0.91 7.49 .0134 2 0.91 7.30 .0135 2 0.91 7.16 .0136 2 0.91 7.21 .0137 2 0.91 7.39 .0138 2 0.91 7.72 .0139 3 0.91 8.40 .0140 2 0.91 7.50 .0141 2 0.91 7.65 .0142 2 0.91 7.70 .0143 2 0.91 7.89 .0144 2 0.91 8.75 .0145 3 0.91 8.26 .0146 3 0.91 8.38 .0147 2 0.91 9.07 .0148 2 0.91 8.08 .0149 2 0.91 8.32 .0150 3 0.91 8.74 .0151 2 0.91 8.55 .0152 2 0.91 8.61 .0153 2 0.91 8.53 .0154 2 0.91 9.37 .0155 2 0.91 8.93 .0156 2 0.91 8.76 .0157 2 0.91 9.15 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0.94 4.93 .1630 2 0.94 5.20 .1631 2 0.94 5.20 .1632 2 0.94 5.07 .1633 2 0.94 4.95 .1634 1 0.94 5.18 .1635 2 0.94 5.11 .1636 3 0.94 6.28 .1637 1 0.94 5.00 .1638 1 0.94 5.04 .1639 1 0.94 5.02 .1640 2 0.94 5.56 .1641 2 0.94 5.28 .1642 1 0.94 5.12 .1643 1 0.94 5.05 .1644 1 0.94 4.87 .1645 2 0.94 4.89 .1646 1 0.94 5.02 .1647 1 0.94 5.03 .1648 2 0.94 5.06 .1649 2 0.94 5.09 .1650 2 0.94 5.03 .1651 3 0.94 5.02 .1652 3 0.94 4.92 .1653 2 0.94 5.00 .1654 2 0.94 5.08 .1655 2 0.94 5.08 .1656 4 0.94 5.45 .1657 3 0.94 5.36 .1658 1 0.94 4.95 .1659 2 0.94 4.94 .1660 2 0.94 4.76 .1661 3 0.94 4.96 .1662 2 0.94 5.09 .1663 2 0.94 4.97 .1664 1 0.94 4.92 .1665 1 0.94 4.67 .1666 3 0.94 5.01 .1667 1 0.94 4.85 .1668 1 0.94 4.62 .1669 1 0.94 4.97 .1670 2 0.95 5.19 .1671 3 0.95 5.29 .1672 2 0.95 4.99 .1673 2 0.95 4.84 .1674 3 0.95 4.72 .1675 2 0.95 4.84 .1676 3 0.95 4.77 .1677 2 0.95 4.97 .1678 1 0.95 4.92 .1679 2 0.95 4.74 .1680 2 0.95 4.71 .1681 1 0.95 4.82 .1682 1 0.95 4.80 .1683 1 0.95 4.68 .1684 1 0.95 4.79 .1685 1 0.95 4.54 .1686 1 0.95 4.61 .1687 2 0.95 4.62 .1688 1 0.95 4.69 .1689 2 0.95 4.59 .1690 1 0.95 4.54 .1691 1 0.95 4.64 .1692 1 0.95 4.76 .1693 3 0.95 4.57 .1694 2 0.95 5.01 .1695 1 0.95 4.98 .1696 3 0.95 4.62 .1697 1 0.95 4.77 .1698 2 0.95 5.03 .1699 1 0.95 4.80 .1700 1 0.95 4.91 .1701 1 0.95 4.89 .1702 3 0.95 4.83 .1703 2 0.95 4.88 .1704 3 0.95 4.97 .1705 1 0.95 4.64 .1706 1 0.95 4.81 .1707 2 0.95 4.62 .1708 1 0.95 4.54 .1709 1 0.95 4.71 .1710 2 0.95 5.11 .1711 1 0.95 5.23 .1712 2 0.95 4.89 .1713 1 0.95 4.52 .1714 2 0.95 4.42 .1715 2 0.95 4.51 .1716 2 0.95 4.55 .1717 2 0.95 4.38 .1718 1 0.95 4.43 .1719 1 0.95 4.29 .1720 1 0.95 4.39 .1721 1 0.95 4.27 .1722 1 0.95 4.17 .1723 1 0.95 4.55 .1724 1 0.95 4.27 .1725 1 0.95 4.22 .1726 1 0.95 4.79 .1727 1 0.95 4.28 .1728 1 0.95 4.36 .1729 1 0.95 4.35 .1730 1 0.95 4.19 .1731 2 0.95 4.25 .1732 2 0.95 4.18 .1733 1 0.95 4.13 .1734 2 0.95 4.23 .1735 1 0.95 4.17 .1736 2 0.95 4.18 .1737 4 0.95 4.41 .1738 1 0.95 4.33 .1739 2 0.95 4.27 .1740 1 0.95 4.47 .1741 2 0.95 4.47 .1742 1 0.95 4.54 .1743 2 0.95 4.72 .1744 2 0.95 4.42 .1745 3 0.95 4.65 .1746 3 0.95 4.31 .1747 2 0.95 4.82 .1748 1 0.95 4.33 .1749 1 0.95 4.62 .1750 1 0.95 4.27 .1751 1 0.95 4.13 .1752 1 0.95 4.39 .1753 1 0.95 4.30 .1754 1 0.95 4.43 .1755 2 0.95 4.39 .1756 2 0.95 4.51 .1757 2 0.95 4.43 .1758 2 0.95 4.62 .1759 1 0.95 4.83 .1760 2 0.95 4.47 .1761 2 0.95 4.36 .1762 1 0.95 4.44 .1763 2 0.95 4.30 .1764 1 0.95 4.71 .1765 2 0.95 4.18 .1766 1 0.95 4.14 .1767 1 0.95 4.47 .1768 1 0.95 4.03 .1769 1 0.95 4.35 .1770 1 0.95 4.25 .1771 2 0.95 4.31 .1772 1 0.95 4.15 .1773 1 0.95 4.00 .1774 2 0.95 4.23 .1775 2 0.95 4.53 .1776 3 0.95 4.22 .1777 1 0.95 4.27 .1778 1 0.95 4.17 .1779 1 0.95 4.24 .1780 2 0.95 4.57 .1781 2 0.95 4.46 .1782 1 0.95 4.22 .1783 1 0.95 4.56 .1784 2 0.95 4.27 .1785 1 0.95 4.51 .1786 1 0.95 4.32 .1787 1 0.95 4.27 .1788 2 0.95 4.18 .1789 3 0.95 4.34 .1790 4 0.95 4.83 .1791 1 0.95 4.51 .1792 1 0.95 4.40 .1793 1 0.95 4.57 .1794 1 0.95 4.72 .1795 2 0.95 4.55 .1796 3 0.95 4.48 .1797 1 0.95 4.49 .1798 1 0.95 4.43 .1799 2 0.95 4.71 .1800 1 0.95 4.68 .1801 1 0.95 4.35 .1802 1 0.95 4.54 .1803 1 0.95 4.25 .1804 2 0.95 4.71 .1805 1 0.95 4.45 .1806 1 0.95 4.57 .1807 1 0.95 4.38 .1808 1 0.95 4.49 .1809 1 0.95 4.55 .1810 3 0.95 4.49 .1811 1 0.95 4.50 .1812 1 0.95 4.72 .1813 2 0.95 4.39 .1814 2 0.95 4.61 .1815 1 0.95 4.34 .1816 1 0.95 4.63 .1817 1 0.95 4.94 .1818 1 0.95 4.69 .1819 1 0.95 4.46 .1820 1 0.95 4.52 .1821 1 0.95 4.73 .1822 3 0.95 4.60 .1823 4 0.95 4.70 .1824 2 0.95 4.64 .1825 2 0.95 4.33 .1826 1 0.95 4.31 .1827 1 0.95 4.43 .1828 1 0.95 4.40 .1829 1 0.95 4.33 .1830 2 0.95 4.33 .1831 2 0.95 4.05 .1832 1 0.95 4.15 .1833 1 0.95 4.18 .1834 1 0.95 4.23 .1835 1 0.95 4.24 .1836 2 0.95 4.61 .1837 3 0.95 4.42 .1838 2 0.95 4.24 .1839 1 0.95 4.06 .1840 1 0.95 4.15 .1841 1 0.95 4.34 .1842 1 0.95 4.47 .1843 2 0.95 4.31 .1844 2 0.95 4.44 .1845 1 0.95 4.55 .1846 1 0.95 4.28 .1847 4 0.95 4.26 .1848 1 0.95 4.52 .1849 3 0.95 4.47 .1850 2 0.95 4.75 .1851 3 0.95 4.44 .1852 2 0.95 4.64 .1853 3 0.95 4.60 .1854 3 0.95 4.51 .1855 1 0.95 4.52 .1856 3 0.95 4.51 .1857 3 0.95 4.88 .1858 2 0.95 4.66 .1859 1 0.95 4.93 .1860 1 0.95 4.54 .1861 1 0.95 4.71 .1862 1 0.95 4.75 .1863 1 0.95 4.68 .1864 2 0.95 5.01 .1865 2 0.95 5.46 .1866 2 0.95 5.05 .1867 2 0.95 4.85 .1868 2 0.95 4.54 .1869 3 0.95 4.89 .1870 1 0.95 5.08 .1871 1 0.95 4.68 .1872 1 0.95 4.62 .1873 1 0.95 4.75 .1874 2 0.95 4.46 .1875 1 0.95 4.49 .1876 1 0.95 4.35 .1877 1 0.95 4.65 .1878 1 0.95 4.61 .1879 2 0.95 4.69 .1880 2 0.95 4.61 .1881 2 0.95 4.61 .1882 2 0.95 4.83 .1883 1 0.95 4.50 .1884 2 0.95 5.01 .1885 2 0.95 4.52 .1886 1 0.95 4.44 .1887 2 0.95 4.58 .1888 4 0.95 4.49 .1889 3 0.95 4.47 .1890 2 0.95 4.63 .1891 1 0.95 4.73 .1892 1 0.95 4.53 .1893 1 0.95 4.24 .1894 1 0.95 4.31 .1895 1 0.95 4.29 .1896 2 0.95 4.33 .1897 3 0.95 4.37 .1898 1 0.95 4.38 .1899 1 0.95 4.33 .1900 2 0.95 4.32 .1901 3 0.95 4.43 .1902 3 0.95 4.24 .1903 1 0.95 4.16 .1904 1 0.95 4.15 .1905 1 0.95 4.12 .1906 1 0.95 4.16 .1907 1 0.95 4.08 .1908 1 0.95 4.12 .1909 1 0.95 4.19 .1910 1 0.95 4.07 .1911 2 0.95 4.13 .1912 2 0.95 5.09 .1913 1 0.95 3.83 .1914 2 0.95 3.82 .1915 2 0.95 4.05 .1916 2 0.95 4.10 .1917 2 0.95 3.75 .1918 1 0.95 3.79 .1919 2 0.95 3.91 .1920 3 0.95 3.97 .1921 1 0.95 3.59 .1922 1 0.95 3.77 .1923 1 0.95 3.72 .1924 2 0.95 3.76 .1925 1 0.95 3.92 .1926 1 0.95 3.89 .1927 2 0.95 3.93 .1928 3 0.95 3.88 .1929 2 0.95 4.02 .1930 2 0.95 3.90 .1931 1 0.95 4.02 .1932 3 0.95 3.72 .1933 1 0.95 3.91 .1934 1 0.95 3.90 .1935 1 0.95 3.86 .1936 1 0.95 3.84 .1937 1 0.95 3.98 .1938 1 0.95 4.16 .1939 1 0.95 3.88 .1940 1 0.95 4.09 .1941 1 0.95 4.06 .1942 2 0.95 4.24 .1943 1 0.95 3.96 .1944 1 0.95 3.80 .1945 1 0.95 3.97 .1946 1 0.95 4.05 .1947 1 0.95 4.01 .1948 3 0.95 4.18 .1949 2 0.95 3.92 .1950 1 0.95 3.96 .1951 1 0.95 3.92 .1952 2 0.95 3.80 .1953 1 0.95 3.97 .1954 1 0.95 3.95 .1955 1 0.95 3.99 .1956 1 0.95 3.85 .1957 1 0.95 3.87 .1958 1 0.95 4.01 .1959 2 0.95 3.99 .1960 1 0.95 3.86 .1961 1 0.95 3.82 .1962 3 0.95 4.05 .1963 2 0.95 3.85 .1964 1 0.95 3.79 .1965 1 0.95 3.78 .1966 1 0.95 3.84 .1967 2 0.95 3.88 .1968 2 0.95 4.11 .1969 4 0.95 4.05 .1970 3 0.95 4.03 .1971 2 0.95 4.14 .1972 3 0.95 4.02 .1973 3 0.95 3.77 .1974 1 0.95 3.98 .1975 2 0.95 3.81 .1976 1 0.95 3.90 .1977 1 0.95 3.95 .1978 1 0.95 3.96 .1979 1 0.95 3.93 .1980 2 0.95 3.75 .1981 1 0.95 3.97 .1982 1 0.95 4.06 .1983 1 0.95 4.02 .1984 2 0.95 3.83 .1985 2 0.95 3.80 .1986 1 0.95 4.02 .1987 1 0.95 3.82 .1988 1 0.95 4.31 .1989 3 0.95 4.07 .1990 1 0.95 3.88 .1991 2 0.95 3.93 .1992 1 0.95 3.71 .1993 2 0.95 3.96 .1994 1 0.95 3.61 .1995 2 0.95 3.75 .1996 1 0.95 3.63 .1997 1 0.95 3.53 .1998 2 0.95 3.47 .1999 1 0.95 3.52 .2000 1 0.95 3.41 .2001 1 0.95 3.87 .2002 1 0.95 3.42 .2003 1 0.95 3.90 .2004 1 0.95 3.71 .2005 1 0.95 3.60 .2006 1 0.95 3.66 .2007 1 0.95 3.59 .2008 3 0.95 3.69 .2009 2 0.95 3.56 .2010 4 0.95 3.59 .2011 3 0.95 3.53 .2012 2 0.95 3.72 .2013 1 0.95 3.74 .2014 1 0.95 3.71 .2015 1 0.95 3.74 .2016 1 0.95 3.71 .2017 3 0.95 3.83 .2018 3 0.95 3.74 .2019 2 0.95 3.66 .2020 1 0.95 3.60 .2021 2 0.95 3.66 .2022 1 0.95 3.77 .2023 3 0.95 3.68 .2024 3 0.95 3.62 .2025 3 0.95 3.65 .2026 1 0.95 3.61 .2027 2 0.95 3.54 .2028 2 0.95 3.35 .2029 1 0.95 3.56 .2030 2 0.95 3.40 .2031 2 0.95 3.50 .2032 2 0.95 3.55 .2033 2 0.95 3.49 .2034 1 0.95 3.45 .2035 2 0.95 3.35 .2036 2 0.95 3.27 .2037 3 0.95 3.25 .2038 2 0.95 3.54 .2039 1 0.95 3.27 .2040 2 0.95 3.18 .2041 1 0.95 3.46 .2042 2 0.95 3.35 .2043 3 0.95 3.21 .2044 1 0.95 3.22 .2045 2 0.95 3.40 .2046 1 0.95 3.09 .2047 2 0.95 3.10 EXTRACT_IMAGE: sdR-r2-00034754.fit: masked 1553 pixels EXTRACT_OBJECT: sdR-r2-00034754.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034754.fit: WARNING: Scattered light median = 214.747 electrons QAPLOT_SCATLIGHT: sdR-r2-00034754.fit: WARNING: Scattered light max = 431.301 electrons EXTRACT_OBJECT: sdR-r2-00034754.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034754.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034754.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034754.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.15 Step 20 of 2112 0.58 96 0.02 0.15 Step 28 of 2112 0.59 96 0.02 0.14 Step 36 of 2112 0.59 96 0.02 0.14 Step 44 of 2112 0.59 96 0.02 0.15 Step 52 of 2112 0.59 96 0.02 0.15 Step 60 of 2112 0.59 96 0.02 0.15 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.15 Step 92 of 2112 0.59 96 0.02 0.15 Step 100 of 2112 0.60 96 0.02 0.16 Step 108 of 2112 0.60 96 0.02 0.17 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.16 Step 132 of 2112 0.60 96 0.02 0.16 Step 140 of 2112 0.60 96 0.02 0.16 Step 148 of 2112 0.60 96 0.02 0.15 Step 156 of 2112 0.60 96 0.02 0.16 Step 164 of 2112 0.61 96 0.02 0.16 Step 172 of 2112 0.61 96 0.02 0.15 Step 180 of 2112 0.61 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.14 Step 196 of 2112 0.61 96 0.02 0.17 Step 204 of 2112 0.61 96 0.02 0.16 Step 212 of 2112 0.61 96 0.02 0.16 Step 220 of 2112 0.61 96 0.02 0.17 Step 228 of 2112 0.62 96 0.02 0.15 Step 236 of 2112 0.62 96 0.02 0.15 Step 244 of 2112 0.62 96 0.02 0.15 Step 252 of 2112 0.62 96 0.02 0.14 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.14 Step 276 of 2112 0.62 96 0.02 0.14 Step 284 of 2112 0.62 96 0.02 0.16 Step 292 of 2112 0.63 96 0.02 0.15 Step 300 of 2112 0.63 96 0.02 0.14 Step 308 of 2112 0.63 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.14 Step 332 of 2112 0.63 96 0.02 0.14 Step 340 of 2112 0.63 96 0.02 0.14 Step 348 of 2112 0.63 96 0.02 0.14 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.64 96 0.02 0.14 Step 372 of 2112 0.64 96 0.02 0.14 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.14 Step 396 of 2112 0.64 96 0.02 0.14 Step 404 of 2112 0.64 96 0.02 0.16 Step 412 of 2112 0.64 96 0.02 0.15 Step 420 of 2112 0.64 96 0.02 0.14 Step 428 of 2112 0.65 96 0.02 0.15 Step 436 of 2112 0.65 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.16 Step 484 of 2112 0.65 96 0.01 0.16 Step 492 of 2112 0.66 96 0.01 0.15 Step 500 of 2112 0.66 96 0.02 0.15 Step 508 of 2112 0.66 96 0.02 0.15 Step 516 of 2112 0.66 96 0.02 0.16 Step 524 of 2112 0.66 96 0.02 0.16 Step 532 of 2112 0.66 96 0.02 0.14 Step 540 of 2112 0.66 96 0.02 0.16 Step 548 of 2112 0.67 96 0.02 0.16 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.15 Step 572 of 2112 0.67 96 0.02 0.16 Step 580 of 2112 0.67 96 0.02 0.15 Step 588 of 2112 0.67 96 0.02 0.15 Step 596 of 2112 0.67 96 0.02 0.15 Step 604 of 2112 0.67 96 0.02 0.15 Step 612 of 2112 0.68 96 0.02 0.15 Step 620 of 2112 0.68 96 0.02 0.14 Step 628 of 2112 0.68 96 0.02 0.15 Step 636 of 2112 0.68 96 0.03 0.15 Step 644 of 2112 0.68 128 0.04 0.21 Step 652 of 2112 0.68 128 0.04 0.21 Step 660 of 2112 0.68 128 0.03 0.21 Step 668 of 2112 0.68 128 0.03 0.21 Step 676 of 2112 0.69 128 0.03 0.21 Step 684 of 2112 0.69 128 0.03 0.20 Step 692 of 2112 0.69 128 0.03 0.23 Step 700 of 2112 0.69 128 0.03 0.23 Step 708 of 2112 0.69 128 0.03 0.21 Step 716 of 2112 0.69 128 0.03 0.20 Step 724 of 2112 0.69 128 0.02 0.20 Step 732 of 2112 0.69 128 0.02 0.21 Step 740 of 2112 0.70 128 0.02 0.21 Step 748 of 2112 0.70 128 0.03 0.21 Step 756 of 2112 0.70 128 0.02 0.21 Step 764 of 2112 0.70 128 0.02 0.21 Step 772 of 2112 0.70 128 0.03 0.21 Step 780 of 2112 0.70 128 0.03 0.20 Step 788 of 2112 0.70 128 0.03 0.22 Step 796 of 2112 0.71 128 0.03 0.22 Step 804 of 2112 0.71 128 0.03 0.22 Step 812 of 2112 0.71 128 0.02 0.20 Step 820 of 2112 0.71 128 0.02 0.20 Step 828 of 2112 0.71 128 0.03 0.21 Step 836 of 2112 0.71 128 0.02 0.21 Step 844 of 2112 0.71 128 0.02 0.20 Step 852 of 2112 0.71 128 0.02 0.20 Step 860 of 2112 0.72 128 0.03 0.21 Step 868 of 2112 0.72 128 0.02 0.22 Step 876 of 2112 0.72 128 0.02 0.21 Step 884 of 2112 0.72 128 0.03 0.23 Step 892 of 2112 0.72 128 0.01 0.20 Step 900 of 2112 0.72 128 0.01 0.20 Step 908 of 2112 0.72 128 0.02 0.20 Step 916 of 2112 0.73 128 0.01 0.21 Step 924 of 2112 0.73 128 0.03 0.21 Step 932 of 2112 0.73 128 0.02 0.18 Step 940 of 2112 0.73 128 0.02 0.17 Step 948 of 2112 0.73 128 0.02 0.22 Step 956 of 2112 0.73 128 0.02 0.22 Step 964 of 2112 0.73 128 0.02 0.20 Step 972 of 2112 0.73 128 0.01 0.20 Step 980 of 2112 0.74 128 0.01 0.20 Step 988 of 2112 0.74 128 0.03 0.20 Step 996 of 2112 0.74 128 0.02 0.19 Step 1004 of 2112 0.74 128 0.02 0.19 Step 1012 of 2112 0.74 128 0.02 0.20 Step 1020 of 2112 0.74 128 0.02 0.21 Step 1028 of 2112 0.74 128 0.02 0.21 Step 1036 of 2112 0.75 128 0.03 0.21 Step 1044 of 2112 0.75 128 0.02 0.21 Step 1052 of 2112 0.75 128 0.03 0.20 Step 1060 of 2112 0.75 128 0.02 0.22 Step 1068 of 2112 0.75 128 0.03 0.22 Step 1076 of 2112 0.75 128 0.03 0.21 Step 1084 of 2112 0.75 128 0.03 0.21 Step 1092 of 2112 0.75 160 0.04 0.33 Step 1100 of 2112 0.76 160 0.04 0.33 Step 1108 of 2112 0.76 160 0.03 0.32 Step 1116 of 2112 0.76 160 0.03 0.33 Step 1124 of 2112 0.76 160 0.04 0.34 Step 1132 of 2112 0.76 160 0.04 0.34 Step 1140 of 2112 0.76 160 0.04 0.34 Step 1148 of 2112 0.76 160 0.03 0.33 Step 1156 of 2112 0.77 160 0.03 0.32 Step 1164 of 2112 0.77 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.32 Step 1180 of 2112 0.77 160 0.03 0.33 Step 1188 of 2112 0.77 160 0.03 0.32 Step 1196 of 2112 0.77 160 0.03 0.32 Step 1204 of 2112 0.77 160 0.03 0.33 Step 1212 of 2112 0.78 160 0.03 0.32 Step 1220 of 2112 0.78 160 0.03 0.32 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.03 0.32 Step 1252 of 2112 0.78 160 0.03 0.33 Step 1260 of 2112 0.78 160 0.03 0.34 Step 1268 of 2112 0.78 160 0.03 0.34 Step 1276 of 2112 0.79 160 0.03 0.34 Step 1284 of 2112 0.79 160 0.03 0.32 Step 1292 of 2112 0.79 160 0.03 0.33 Step 1300 of 2112 0.79 160 0.03 0.32 Step 1308 of 2112 0.79 160 0.03 0.32 Step 1316 of 2112 0.79 160 0.03 0.32 Step 1324 of 2112 0.79 160 0.03 0.32 Step 1332 of 2112 0.80 160 0.03 0.33 Step 1340 of 2112 0.80 160 0.03 0.33 Step 1348 of 2112 0.80 160 0.03 0.32 Step 1356 of 2112 0.80 160 0.03 0.32 Step 1364 of 2112 0.80 160 0.03 0.32 Step 1372 of 2112 0.80 160 0.03 0.33 Step 1380 of 2112 0.80 160 0.03 0.32 Step 1388 of 2112 0.81 160 0.03 0.33 Step 1396 of 2112 0.81 160 0.03 0.34 Step 1404 of 2112 0.81 160 0.03 0.32 Step 1412 of 2112 0.81 160 0.03 0.34 Step 1420 of 2112 0.81 160 0.03 0.34 Step 1428 of 2112 0.81 160 0.03 0.34 Step 1436 of 2112 0.81 160 0.03 0.34 Step 1444 of 2112 0.82 160 0.03 0.32 Step 1452 of 2112 0.82 192 0.03 0.36 Step 1460 of 2112 0.82 192 0.03 0.36 Step 1468 of 2112 0.82 192 0.04 0.36 Step 1476 of 2112 0.82 192 0.04 0.38 Step 1484 of 2112 0.82 192 0.04 0.38 Step 1492 of 2112 0.82 192 0.03 0.39 Step 1500 of 2112 0.83 192 0.03 0.37 Step 1508 of 2112 0.83 192 0.03 0.36 Step 1516 of 2112 0.83 192 0.04 0.36 Step 1524 of 2112 0.83 192 0.04 0.36 Step 1532 of 2112 0.83 192 0.03 0.36 Step 1540 of 2112 0.83 192 0.04 0.36 Step 1548 of 2112 0.83 192 0.03 0.36 Step 1556 of 2112 0.83 192 0.04 0.36 Step 1564 of 2112 0.84 192 0.04 0.38 Step 1572 of 2112 0.84 192 0.04 0.36 Step 1580 of 2112 0.84 192 0.04 0.37 Step 1588 of 2112 0.84 192 0.03 0.36 Step 1596 of 2112 0.84 192 0.03 0.36 Step 1604 of 2112 0.84 192 0.03 0.37 Step 1612 of 2112 0.84 192 0.03 0.36 Step 1620 of 2112 0.85 192 0.03 0.36 Step 1628 of 2112 0.85 192 0.04 0.37 Step 1636 of 2112 0.85 192 0.04 0.39 Step 1644 of 2112 0.85 192 0.02 0.36 Step 1652 of 2112 0.85 192 0.04 0.37 Step 1660 of 2112 0.85 192 0.04 0.38 Step 1668 of 2112 0.85 192 0.04 0.38 Step 1676 of 2112 0.86 192 0.03 0.36 Step 1684 of 2112 0.86 192 0.03 0.36 Step 1692 of 2112 0.86 192 0.03 0.35 Step 1700 of 2112 0.86 192 0.04 0.36 Step 1708 of 2112 0.86 192 0.03 0.36 Step 1716 of 2112 0.86 192 0.04 0.37 Step 1724 of 2112 0.86 192 0.04 0.39 Step 1732 of 2112 0.87 192 0.02 0.39 Step 1740 of 2112 0.87 224 0.05 0.48 Step 1748 of 2112 0.87 224 0.04 0.50 Step 1756 of 2112 0.87 224 0.03 0.49 Step 1764 of 2112 0.87 224 0.03 0.52 Step 1772 of 2112 0.87 224 0.03 0.52 Step 1780 of 2112 0.87 224 0.03 0.53 Step 1788 of 2112 0.88 224 0.03 0.53 Step 1796 of 2112 0.88 224 0.03 0.53 Step 1804 of 2112 0.88 224 0.03 0.50 Step 1812 of 2112 0.88 224 0.04 0.47 Step 1820 of 2112 0.88 224 0.04 0.47 Step 1828 of 2112 0.88 224 0.05 0.47 Step 1836 of 2112 0.88 224 0.05 0.55 Step 1844 of 2112 0.89 224 0.05 0.52 Step 1852 of 2112 0.89 224 0.04 0.49 Step 1860 of 2112 0.89 224 0.04 0.47 Step 1868 of 2112 0.89 224 0.04 0.47 Step 1876 of 2112 0.89 224 0.04 0.50 Step 1884 of 2112 0.89 224 0.05 0.48 Step 1892 of 2112 0.89 224 0.04 0.49 Step 1900 of 2112 0.90 224 0.04 0.49 Step 1908 of 2112 0.90 224 0.04 0.49 Step 1916 of 2112 0.90 224 0.05 0.48 Step 1924 of 2112 0.90 224 0.04 0.48 Step 1932 of 2112 0.90 224 0.04 0.49 Step 1940 of 2112 0.90 224 0.04 0.50 Step 1948 of 2112 0.90 224 0.04 0.50 Step 1956 of 2112 0.91 224 0.05 0.48 Step 1964 of 2112 0.91 224 0.04 0.47 Step 1972 of 2112 0.91 224 0.04 0.45 Step 1980 of 2112 0.91 224 0.04 0.45 Step 1988 of 2112 0.91 224 0.05 0.48 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.05 0.49 Step 2012 of 2112 0.92 256 0.05 0.53 Step 2020 of 2112 0.92 256 0.05 0.51 Step 2028 of 2112 0.92 256 0.05 0.51 Step 2036 of 2112 0.92 256 0.07 0.51 Step 2044 of 2112 0.92 256 0.06 0.51 Step 2052 of 2112 0.92 256 0.05 0.51 Step 2060 of 2112 0.92 256 0.05 0.58 Step 2068 of 2112 0.93 256 0.05 0.52 Step 2076 of 2112 0.93 256 0.03 0.50 Step 2084 of 2112 0.93 256 0.03 0.49 Step 2092 of 2112 0.93 256 0.05 0.52 Step 2100 of 2112 0.93 256 0.05 0.49 Step 2108 of 2112 0.93 256 0.06 0.48 EXTRACT_OBJECT: sdR-r2-00034754.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 1 0.91 4.74 .0004 2 0.91 4.59 .0005 3 0.91 4.58 .0006 3 0.91 4.37 .0007 2 0.91 4.50 .0008 2 0.91 4.84 .0009 2 0.91 4.60 .0010 2 0.91 4.55 .0011 2 0.91 4.83 .0012 2 0.91 4.87 .0013 3 0.91 5.31 .0014 1 0.91 5.01 .0015 3 0.91 4.99 .0016 2 0.91 5.49 .0017 2 0.91 5.28 .0018 1 0.91 5.10 .0019 2 0.91 5.03 .0020 1 0.91 5.27 .0021 2 0.91 5.66 .0022 2 0.91 5.22 .0023 3 0.91 5.25 .0024 1 0.91 5.20 .0025 1 0.91 5.26 .0026 1 0.91 5.40 .0027 1 0.91 5.47 .0028 2 0.91 5.48 .0029 2 0.91 5.84 .0030 3 0.91 5.66 .0031 3 0.91 6.49 .0032 1 0.91 5.66 .0033 3 0.91 5.49 .0034 1 0.91 5.82 .0035 1 0.91 5.66 .0036 1 0.91 5.89 .0037 2 0.91 5.54 .0038 1 0.91 5.76 .0039 2 0.91 5.47 .0040 2 0.91 5.61 .0041 2 0.91 5.30 .0042 2 0.91 5.52 .0043 2 0.91 5.51 .0044 2 0.91 6.19 .0045 2 0.91 5.61 .0046 2 0.91 5.76 .0047 2 0.91 5.78 .0048 2 0.91 5.54 .0049 2 0.91 5.54 .0050 2 0.91 5.48 .0051 2 0.91 5.53 .0052 2 0.91 5.65 .0053 2 0.91 5.70 .0054 2 0.91 5.72 .0055 2 0.91 5.80 .0056 2 0.91 5.58 .0057 2 0.91 5.54 .0058 2 0.91 5.73 .0059 2 0.91 5.92 .0060 2 0.91 5.63 .0061 2 0.91 5.80 .0062 2 0.91 5.77 .0063 3 0.91 6.06 .0064 2 0.91 6.38 .0065 3 0.91 6.57 .0066 2 0.91 6.58 .0067 2 0.91 6.10 .0068 2 0.91 5.74 .0069 2 0.91 6.25 .0070 2 0.91 6.30 .0071 2 0.91 6.24 .0072 2 0.91 6.10 .0073 3 0.91 6.26 .0074 3 0.91 6.34 .0075 2 0.91 6.25 .0076 2 0.91 6.07 .0077 2 0.91 6.32 .0078 2 0.91 6.44 .0079 2 0.91 6.26 .0080 2 0.91 6.44 .0081 3 0.91 6.57 .0082 2 0.91 6.45 .0083 3 0.91 6.43 .0084 3 0.91 6.07 .0085 2 0.91 6.29 .0086 2 0.91 6.54 .0087 2 0.91 6.36 .0088 3 0.91 6.58 .0089 2 0.91 6.51 .0090 2 0.91 6.28 .0091 2 0.91 6.33 .0092 2 0.91 6.82 .0093 3 0.91 6.61 .0094 2 0.91 6.33 .0095 2 0.91 6.56 .0096 2 0.91 6.57 .0097 2 0.91 6.38 .0098 2 0.91 6.47 .0099 2 0.91 6.51 .0100 2 0.91 6.86 .0101 4 0.91 7.29 .0102 3 0.91 6.49 .0103 3 0.91 6.09 .0104 3 0.91 5.92 .0105 3 0.91 6.35 .0106 3 0.91 6.78 .0107 3 0.91 6.85 .0108 3 0.91 6.17 .0109 3 0.91 6.61 .0110 3 0.91 6.36 .0111 3 0.91 6.70 .0112 3 0.91 6.55 .0113 3 0.91 6.52 .0114 3 0.91 6.28 .0115 3 0.91 6.58 .0116 3 0.91 6.70 .0117 3 0.91 6.74 .0118 3 0.91 6.79 .0119 2 0.91 6.29 .0120 3 0.91 6.70 .0121 2 0.91 6.45 .0122 2 0.91 6.64 .0123 2 0.91 6.33 .0124 2 0.91 6.79 .0125 2 0.91 6.60 .0126 2 0.91 7.25 .0127 2 0.91 7.16 .0128 2 0.91 7.02 .0129 2 0.91 7.14 .0130 2 0.91 6.88 .0131 2 0.91 6.81 .0132 2 0.91 6.95 .0133 2 0.91 7.20 .0134 2 0.91 7.01 .0135 2 0.91 6.87 .0136 2 0.91 6.91 .0137 2 0.91 7.10 .0138 2 0.91 7.43 .0139 3 0.91 8.11 .0140 2 0.91 7.21 .0141 2 0.91 7.36 .0142 2 0.91 7.40 .0143 2 0.91 7.60 .0144 2 0.91 8.46 .0145 3 0.91 7.96 .0146 3 0.91 8.05 .0147 2 0.91 8.76 .0148 2 0.91 7.77 .0149 2 0.91 8.01 .0150 3 0.91 8.40 .0151 2 0.91 8.23 .0152 2 0.91 8.28 .0153 2 0.91 8.19 .0154 3 0.91 8.57 .0155 2 0.91 8.58 .0156 2 0.91 8.42 .0157 2 0.91 8.78 .0158 2 0.91 8.46 .0159 2 0.91 8.69 .0160 1 0.91 9.37 .0161 3 0.91 9.05 .0162 3 0.91 8.87 .0163 2 0.91 8.95 .0164 3 0.91 9.53 .0165 2 0.91 8.99 .0166 2 0.91 9.04 .0167 2 0.91 8.98 .0168 2 0.91 8.84 .0169 2 0.91 8.99 .0170 2 0.91 9.20 .0171 2 0.91 9.32 .0172 2 0.91 9.12 .0173 2 0.91 9.53 .0174 2 0.91 9.00 .0175 2 0.91 9.52 .0176 2 0.91 9.35 .0177 2 0.91 9.48 .0178 2 0.91 9.70 .0179 2 0.91 9.49 .0180 2 0.91 9.30 .0181 2 0.91 9.23 .0182 2 0.91 9.35 .0183 2 0.91 9.48 .0184 2 0.91 9.46 .0185 2 0.91 9.62 .0186 2 0.91 9.56 .0187 2 0.91 10.07 .0188 2 0.91 9.91 .0189 2 0.91 10.09 .0190 2 0.91 9.59 .0191 2 0.91 9.87 .0192 2 0.91 9.92 .0193 2 0.91 10.57 .0194 4 0.91 11.05 .0195 2 0.91 10.24 .0196 2 0.91 9.62 .0197 2 0.91 11.51 .0198 3 0.91 9.91 .0199 1 0.91 10.93 .0200 1 0.91 10.24 .0201 1 0.91 10.51 .0202 2 0.91 10.36 .0203 1 0.91 10.30 .0204 1 0.91 10.17 .0205 1 0.91 10.62 .0206 1 0.91 10.33 .0207 1 0.91 10.20 .0208 1 0.91 9.85 .0209 1 0.91 10.05 .0210 1 0.91 9.99 .0211 1 0.91 10.50 .0212 1 0.91 10.09 .0213 1 0.91 9.99 .0214 2 0.91 9.76 .0215 1 0.91 9.64 .0216 2 0.91 10.56 .0217 1 0.91 9.50 .0218 1 0.91 9.86 .0219 1 0.91 9.63 .0220 2 0.91 10.09 .0221 1 0.91 9.69 .0222 1 0.91 9.63 .0223 3 0.91 9.50 .0224 1 0.91 10.19 .0225 1 0.91 10.10 .0226 1 0.91 9.84 .0227 2 0.91 9.24 .0228 1 0.91 10.11 .0229 2 0.91 9.07 .0230 1 0.91 9.28 .0231 1 0.91 9.16 .0232 1 0.91 9.55 .0233 1 0.91 9.22 .0234 1 0.91 9.42 .0235 1 0.91 9.38 .0236 1 0.91 9.14 .0237 2 0.91 10.13 .0238 1 0.91 10.17 .0239 1 0.91 9.38 .0240 2 0.91 9.56 .0241 1 0.91 9.45 .0242 1 0.91 9.66 .0243 1 0.91 9.38 .0244 2 0.91 9.55 .0245 2 0.91 9.42 .0246 1 0.91 9.76 .0247 1 0.91 10.35 .0248 2 0.91 9.74 .0249 1 0.91 9.64 .0250 1 0.91 10.18 .0251 2 0.91 9.87 .0252 1 0.91 10.09 .0253 2 0.91 9.72 .0254 1 0.91 10.03 .0255 2 0.91 10.67 .0256 1 0.91 9.92 .0257 1 0.91 10.41 .0258 2 0.91 10.18 .0259 1 0.91 9.60 .0260 1 0.91 9.75 .0261 1 0.91 9.92 .0262 1 0.91 9.95 .0263 1 0.91 10.18 .0264 1 0.91 9.99 .0265 1 0.91 10.17 .0266 2 0.91 9.99 .0267 2 0.91 10.27 .0268 2 0.91 10.23 .0269 1 0.91 10.29 .0270 1 0.91 10.50 .0271 1 0.91 10.46 .0272 1 0.91 10.51 .0273 1 0.91 10.60 .0274 3 0.91 10.76 .0275 2 0.91 11.88 .0276 2 0.91 11.07 .0277 1 0.91 10.83 .0278 2 0.91 11.25 .0279 2 0.91 11.43 .0280 2 0.91 10.65 .0281 1 0.91 10.80 .0282 1 0.91 11.15 .0283 2 0.91 10.95 .0284 3 0.91 11.12 .0285 3 0.91 11.03 .0286 2 0.91 11.34 .0287 1 0.91 11.43 .0288 2 0.91 11.09 .0289 1 0.91 11.05 .0290 1 0.91 11.25 .0291 1 0.91 11.69 .0292 1 0.91 11.76 .0293 1 0.91 11.56 .0294 1 0.91 11.81 .0295 1 0.91 11.65 .0296 1 0.91 12.36 .0297 2 0.91 11.70 .0298 1 0.91 11.76 .0299 1 0.91 11.73 .0300 1 0.91 12.10 .0301 2 0.91 11.70 .0302 1 0.91 12.11 .0303 1 0.91 11.97 .0304 1 0.91 11.95 .0305 1 0.91 12.01 .0306 1 0.91 12.15 .0307 1 0.91 12.40 .0308 2 0.91 12.32 .0309 1 0.91 11.97 .0310 1 0.91 11.88 .0311 2 0.91 12.09 .0312 1 0.91 12.34 .0313 1 0.91 12.13 .0314 1 0.91 12.08 .0315 1 0.91 12.14 .0316 1 0.91 12.01 .0317 1 0.91 12.44 .0318 1 0.91 12.20 .0319 1 0.91 12.86 .0320 1 0.91 12.84 .0321 1 0.91 12.40 .0322 1 0.91 12.13 .0323 1 0.91 13.01 .0324 1 0.91 12.31 .0325 1 0.91 11.98 .0326 1 0.91 12.69 .0327 3 0.91 12.17 .0328 1 0.91 12.38 .0329 2 0.91 11.56 .0330 2 0.91 12.10 .0331 2 0.91 11.96 .0332 2 0.91 11.58 .0333 2 0.91 11.68 .0334 2 0.91 11.53 .0335 2 0.91 11.97 .0336 3 0.91 11.47 .0337 2 0.91 11.96 .0338 2 0.91 11.82 .0339 2 0.91 11.45 .0340 2 0.91 12.13 .0341 2 0.91 11.49 .0342 2 0.91 11.13 .0343 2 0.91 11.86 .0344 2 0.91 13.08 .0345 2 0.91 11.18 .0346 2 0.91 11.63 .0347 2 0.91 11.71 .0348 2 0.91 11.17 .0349 2 0.91 12.21 .0350 2 0.91 12.46 .0351 2 0.91 11.39 .0352 2 0.91 11.53 .0353 2 0.91 11.07 .0354 2 0.91 11.13 .0355 2 0.91 11.03 .0356 2 0.91 11.40 .0357 2 0.91 11.04 .0358 2 0.91 10.82 .0359 2 0.91 11.58 .0360 2 0.91 10.89 .0361 2 0.91 11.26 .0362 2 0.91 11.22 .0363 2 0.91 10.86 .0364 2 0.91 11.39 .0365 2 0.91 11.44 .0366 2 0.91 11.13 .0367 2 0.91 11.32 .0368 2 0.91 11.09 .0369 2 0.91 11.43 .0370 2 0.91 11.26 .0371 2 0.91 12.31 .0372 2 0.91 11.43 .0373 2 0.91 11.34 .0374 2 0.91 11.21 .0375 2 0.91 11.37 .0376 2 0.91 11.06 .0377 2 0.91 11.70 .0378 2 0.91 11.29 .0379 2 0.91 11.27 .0380 2 0.91 11.77 .0381 2 0.91 12.37 .0382 3 0.91 11.84 .0383 2 0.91 10.82 .0384 2 0.91 11.29 .0385 2 0.91 11.07 .0386 2 0.91 11.38 .0387 2 0.91 11.72 .0388 2 0.91 11.04 .0389 2 0.91 11.19 .0390 2 0.91 11.40 .0391 2 0.91 11.39 .0392 2 0.91 11.63 .0393 2 0.91 11.67 .0394 2 0.91 11.19 .0395 2 0.91 11.49 .0396 2 0.91 11.49 .0397 2 0.91 11.82 .0398 3 0.91 10.70 .0399 2 0.91 11.98 .0400 3 0.91 10.75 .0401 3 0.91 10.66 .0402 3 0.91 10.79 .0403 3 0.91 11.01 .0404 3 0.91 10.63 .0405 3 0.91 11.20 .0406 3 0.91 11.11 .0407 3 0.91 10.93 .0408 3 0.91 10.97 .0409 3 0.91 11.12 .0410 3 0.91 10.73 .0411 3 0.91 10.88 .0412 3 0.91 10.50 .0413 3 0.91 10.86 .0414 3 0.91 10.80 .0415 3 0.91 11.32 .0416 3 0.91 11.20 .0417 3 0.91 11.10 .0418 3 0.91 10.88 .0419 3 0.91 10.87 .0420 3 0.91 10.55 .0421 3 0.91 10.76 .0422 2 0.91 10.52 .0423 2 0.91 11.45 .0424 3 0.91 10.72 .0425 2 0.91 10.58 .0426 2 0.91 10.74 .0427 2 0.91 10.48 .0428 3 0.91 10.37 .0429 2 0.91 11.07 .0430 2 0.91 10.31 .0431 2 0.91 10.16 .0432 2 0.91 10.26 .0433 2 0.91 10.15 .0434 2 0.91 10.68 .0435 2 0.91 9.94 .0436 2 0.91 10.58 .0437 3 0.91 10.40 .0438 3 0.91 11.20 .0439 2 0.91 9.93 .0440 2 0.91 10.12 .0441 2 0.91 10.23 .0442 2 0.91 10.26 .0443 3 0.91 10.38 .0444 2 0.91 10.18 .0445 2 0.91 10.73 .0446 2 0.91 9.73 .0447 2 0.91 9.96 .0448 2 0.91 9.73 .0449 2 0.91 10.24 .0450 2 0.91 9.94 .0451 2 0.91 10.58 .0452 4 0.91 10.45 .0453 3 0.91 9.77 .0454 2 0.91 9.66 .0455 2 0.91 10.36 .0456 2 0.91 10.02 .0457 2 0.91 9.90 .0458 2 0.91 10.40 .0459 2 0.91 9.20 .0460 2 0.91 9.83 .0461 2 0.91 9.46 .0462 2 0.91 9.93 .0463 2 0.91 9.50 .0464 2 0.91 9.54 .0465 2 0.91 9.31 .0466 2 0.91 9.57 .0467 2 0.91 10.42 .0468 2 0.91 8.97 .0469 2 0.91 9.19 .0470 2 0.91 9.45 .0471 2 0.91 9.75 .0472 2 0.91 9.40 .0473 2 0.91 9.17 .0474 2 0.91 9.59 .0475 2 0.91 9.63 .0476 2 0.91 9.62 .0477 2 0.91 9.15 .0478 2 0.91 8.80 .0479 2 0.91 8.78 .0480 2 0.91 8.81 .0481 2 0.91 8.70 .0482 2 0.91 9.38 .0483 3 0.91 8.76 .0484 2 0.91 8.65 .0485 3 0.91 8.96 .0486 2 0.91 9.33 .0487 2 0.91 8.44 .0488 2 0.91 8.73 .0489 2 0.91 8.79 .0490 2 0.91 8.74 .0491 2 0.91 8.83 .0492 2 0.91 8.86 .0493 2 0.91 8.98 .0494 2 0.91 8.87 .0495 2 0.91 8.75 .0496 2 0.91 8.97 .0497 2 0.91 8.98 .0498 2 0.91 10.22 .0499 2 0.91 9.19 .0500 2 0.91 9.92 .0501 2 0.91 9.58 .0502 2 0.91 9.96 .0503 3 0.91 9.89 .0504 2 0.91 9.88 .0505 2 0.91 9.99 .0506 2 0.91 10.35 .0507 2 0.91 9.88 .0508 2 0.91 10.62 .0509 2 0.91 10.53 .0510 2 0.91 10.67 .0511 2 0.91 10.12 .0512 2 0.91 10.23 .0513 2 0.91 10.58 .0514 2 0.91 10.52 .0515 2 0.91 11.10 .0516 2 0.91 9.96 .0517 2 0.91 10.74 .0518 2 0.91 10.80 .0519 1 0.91 11.43 .0520 1 0.91 11.37 .0521 1 0.91 11.53 .0522 1 0.91 10.92 .0523 2 0.91 11.35 .0524 1 0.91 10.97 .0525 1 0.91 11.31 .0526 1 0.91 11.18 .0527 1 0.91 11.21 .0528 1 0.91 11.57 .0529 1 0.91 11.04 .0530 1 0.91 10.88 .0531 1 0.91 11.40 .0532 1 0.91 10.85 .0533 1 0.91 11.19 .0534 1 0.91 11.24 .0535 1 0.91 11.00 .0536 1 0.91 11.33 .0537 1 0.91 11.14 .0538 1 0.91 10.99 .0539 1 0.91 12.06 .0540 1 0.91 11.35 .0541 2 0.91 10.98 .0542 1 0.91 11.32 .0543 2 0.91 11.17 .0544 2 0.91 11.22 .0545 2 0.91 11.36 .0546 2 0.91 10.93 .0547 2 0.91 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2.67 .2041 1 0.95 2.95 .2042 2 0.95 2.83 .2043 3 0.95 2.71 .2044 1 0.95 2.74 .2045 2 0.95 2.88 .2046 1 0.95 2.65 .2047 2 0.95 2.63 EXTRACT_IMAGE: sdR-r2-00034754.fit: masked 1652 pixels EXTRACT_OBJECT: sdR-r2-00034754.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034754.fit: WARNING: Scattered light median = 72.5136 electrons QAPLOT_SCATLIGHT: sdR-r2-00034754.fit: WARNING: Scattered light max = 226.872 electrons EXTRACT_OBJECT: sdR-r2-00034754.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 1 0.91 6.72 .0004 2 0.91 6.58 .0005 3 0.91 6.60 .0006 3 0.91 6.23 .0007 2 0.91 6.38 .0008 2 0.91 6.82 .0009 2 0.91 6.46 .0010 2 0.91 6.51 .0011 2 0.91 6.70 .0012 2 0.91 6.66 .0013 4 0.91 6.87 .0014 1 0.91 6.98 .0015 3 0.91 7.04 .0016 2 0.91 7.28 .0017 3 0.91 6.81 .0018 1 0.91 7.00 .0019 2 0.91 6.90 .0020 1 0.91 7.10 .0021 2 0.91 7.07 .0022 2 0.91 7.01 .0023 3 0.91 7.15 .0024 1 0.91 6.98 .0025 1 0.91 6.96 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0.95 3.33 .1949 2 0.95 3.30 .1950 1 0.95 3.32 .1951 1 0.95 3.31 .1952 2 0.95 3.33 .1953 1 0.95 3.35 .1954 1 0.95 3.44 .1955 1 0.95 3.30 .1956 1 0.95 3.29 .1957 1 0.95 3.28 .1958 1 0.95 3.39 .1959 2 0.95 3.36 .1960 1 0.95 3.27 .1961 1 0.95 3.27 .1962 3 0.95 3.34 .1963 4 0.95 3.29 .1964 1 0.95 3.26 .1965 1 0.95 3.21 .1966 1 0.95 3.26 .1967 2 0.95 3.33 .1968 2 0.95 3.52 .1969 4 0.95 3.30 .1970 4 0.95 3.41 .1971 3 0.95 3.45 .1972 4 0.95 3.28 .1973 3 0.95 3.26 .1974 1 0.95 3.39 .1975 2 0.95 3.21 .1976 2 0.95 3.34 .1977 3 0.95 3.30 .1978 1 0.95 3.42 .1979 1 0.95 3.39 .1980 2 0.95 3.26 .1981 2 0.95 3.31 .1982 2 0.95 3.33 .1983 1 0.95 3.43 .1984 2 0.95 3.29 .1985 2 0.95 3.21 .1986 2 0.95 3.34 .1987 1 0.95 3.28 .1988 2 0.95 3.51 .1989 3 0.95 3.23 .1990 2 0.95 3.23 .1991 2 0.95 3.24 .1992 1 0.95 3.24 .1993 3 0.95 3.23 .1994 1 0.95 3.19 .1995 2 0.95 3.25 .1996 1 0.95 3.07 .1997 1 0.95 3.02 .1998 2 0.95 3.04 .1999 1 0.95 3.05 .2000 1 0.95 3.01 .2001 2 0.95 3.09 .2002 1 0.95 2.94 .2003 3 0.95 3.15 .2004 3 0.95 3.02 .2005 1 0.95 3.15 .2006 1 0.95 3.18 .2007 3 0.95 2.95 .2008 3 0.95 3.14 .2009 2 0.95 3.12 .2010 3 0.95 3.29 .2011 3 0.95 3.08 .2012 2 0.95 3.17 .2013 1 0.95 3.25 .2014 1 0.95 3.16 .2015 1 0.95 3.27 .2016 3 0.95 3.20 .2017 3 0.95 3.38 .2018 3 0.95 3.25 .2019 2 0.95 3.25 .2020 1 0.95 3.19 .2021 2 0.95 3.18 .2022 2 0.95 3.17 .2023 3 0.95 3.26 .2024 3 0.95 3.17 .2025 3 0.95 3.16 .2026 1 0.95 3.20 .2027 2 0.95 3.10 .2028 2 0.95 2.86 .2029 1 0.95 3.10 .2030 2 0.95 2.96 .2031 2 0.95 3.08 .2032 3 0.95 3.01 .2033 3 0.95 2.93 .2034 1 0.95 3.01 .2035 2 0.95 2.88 .2036 3 0.95 2.91 .2037 2 0.95 2.90 .2038 3 0.95 3.00 .2039 1 0.95 2.82 .2040 2 0.95 2.82 .2041 1 0.95 2.97 .2042 2 0.95 2.90 .2043 3 0.95 2.87 .2044 1 0.95 2.80 .2045 3 0.95 2.80 .2046 1 0.95 2.73 .2047 2 0.95 2.71 EXTRACT_IMAGE: sdR-r2-00034754.fit: masked 2398 pixels DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 430 low points in trace 54 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 384 low points in trace 184 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 617 low points in trace 224 DIVIDEFLAT: sdR-r2-00034754.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034754.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 606 low points in trace 276 DIVIDEFLAT: sdR-r2-00034754.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034754.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 224 low points in trace 318 DIVIDEFLAT: sdR-r2-00034754.fit: Warning: Reject 480 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034754.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 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0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034754.fit: WARNING: sky shift reference line, sigma 7794.1200 0.066132822 LOCATESKYLINES_2: sdR-r2-00034754.fit: sky shift reference line, offset: 7794.1200 -0.049626679 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 0 11.138299 375.76509 -0.16053723 1.0043410 1832.9555 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 6 9.4719002 38.741877 -0.16514879 0.98539107 1755.2646 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 13 10.149483 -134.70219 -0.18771108 0.94529147 1755.2516 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 18 11.467101 124.61843 -0.10692847 0.89956151 1838.9837 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 26 5.9146855 183.31594 -0.089898937 0.95591792 1833.4559 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 52 8.9228631 159.38701 -0.096039896 0.97911536 1732.1788 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 60 8.1481625 261.50460 -0.19320731 0.93271837 1899.4981 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 63 3.6573757 139.13922 -0.14355983 0.99570741 1867.3864 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 82 17.104662 157.94356 -0.16403743 0.95811725 1813.8752 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 84 4.6113656 24.938085 -0.12830287 0.95977607 1884.2780 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 109 7.6540730 13.016896 -0.14782423 0.97958488 1784.1778 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 114 17.329075 25.400387 -0.14220829 0.94512677 1795.3388 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 131 14.223947 183.32226 -0.16955127 0.95682149 2000.8426 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 153 7.3092629 317.31501 -0.18213339 1.0107106 1883.2675 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 176 21.189702 382.19178 -0.12430522 1.0128960 1793.1685 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 180 26.810279 364.50804 -0.15812155 0.96148685 1917.4573 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 184 16.359701 374.53219 -0.12369376 0.97744900 1872.6952 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 185 19.446403 315.70231 -0.14769191 1.0226711 1804.6238 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 186 10.529212 336.68166 -0.12761837 0.93654320 1896.7770 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 201 15.783652 315.74574 -0.18758039 0.98782478 1833.7023 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 204 10.590080 330.56402 -0.16702403 0.95175064 1921.6821 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 206 12.537497 346.56737 -0.13204292 0.95211085 1813.4146 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 213 12.043999 390.36641 -0.13306885 0.90671926 1901.0163 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 235 5.4229704 294.40255 -0.10896794 0.94149543 1873.6427 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 257 19.345270 348.29923 -0.11076955 0.96133288 1883.1462 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 259 13.286602 466.26534 -0.14910523 0.93920734 1912.0002 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 260 10.269979 352.95523 -0.14508445 0.96515944 1885.3106 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 261 9.9896592 451.65203 -0.15615761 0.91843537 1859.2140 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 265 13.754816 382.62039 -0.14796358 0.95538914 1894.8286 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 271 19.677237 350.10754 -0.13706864 0.94130376 1942.4919 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 276 9.3704260 379.46937 -0.11483260 0.92970769 1872.8459 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 281 9.7300418 229.83565 -0.11110904 0.97345324 1887.7621 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 284 11.890778 257.26475 -0.14038778 0.93523072 1888.6177 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 307 9.0998023 398.18877 -0.14577888 0.90116636 1896.2773 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 0 308 3.8170459 445.52914 -0.11313769 0.98723704 1910.6784 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 0 7.2007984 0.00028416970 -0.14119323 0.95897936 0.99883377 LOCATESKYLINES_2: sdR-r2-00034754.fit: sigma-clipped to 281 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034754.fit: comb2 l,chi^2/dof,fit: 0 4.2237100 -0.015973680 -0.13743772 0.98070038 1.0048226 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 281 of 315 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.187064-0.1374380.004286 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 0 0.91954159 288.61774 -0.12836819 0.99962723 594.92423 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 6 0.54057638 -65.618977 -0.15345064 0.93418802 596.18152 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 13 0.88883358 -179.81904 -0.019750965 0.92117613 587.52326 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 18 1.0452808 26.833371 -0.013534556 1.0464845 549.70347 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 26 4.2350378 104.59791 -0.18390579 0.90964647 534.40106 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 52 1.5729139 -8.6687335 -0.079558140 1.1591560 581.26327 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 60 2.2955776 171.03944 -0.23437132 0.92641772 584.52575 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 63 0.59739488 56.072195 -0.12462942 0.95495510 603.30766 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 82 1.5839155 85.148803 -0.20712273 0.91068819 619.67942 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 84 1.5545817 -14.242766 -0.13296205 0.89609492 533.53573 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 109 2.5240280 -34.683140 -0.13491244 0.94267215 588.38975 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 114 2.2706824 7.7276237 -0.084122250 0.98603891 536.11868 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 131 3.3883891 139.67684 -0.078828144 0.88069582 589.46488 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 153 2.1921590 276.17855 -0.11628082 0.98813680 636.41291 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 176 5.8169222 303.43340 -0.030610178 0.97326566 605.57554 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 180 3.1760674 277.92751 -0.092851789 0.93099907 596.71441 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 184 1.9125653 267.48312 -0.065658519 1.0058927 602.20079 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 185 2.5053417 255.17274 -0.080496989 0.94061168 593.94200 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 186 3.5272572 264.96703 -0.21417918 0.94534022 555.39934 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 201 2.9932018 258.99904 -0.066243132 1.0159640 579.92763 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 204 1.2709795 249.61438 -0.081055874 1.0819132 527.58206 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 206 1.4039466 264.43176 -0.0034086148 0.94518805 554.91857 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 213 2.0592492 242.74789 -0.0070752113 1.1155092 596.03831 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 235 2.1298900 214.79741 -0.12385206 0.96034816 587.55816 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 257 6.0006661 300.17872 -0.021778073 0.90232807 590.37365 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 259 4.4480754 389.66905 -0.088955797 0.89294522 666.71367 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 260 1.1885692 227.00722 -0.090492616 0.99615856 606.32508 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 261 1.8281823 322.09185 -0.11453803 1.0023670 569.53066 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 265 4.0403352 273.19106 -0.11036683 0.96639647 669.17487 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 271 4.8004019 304.72193 -0.18192797 0.95775989 621.07480 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 276 4.7351005 268.67932 -0.056571602 1.0518083 577.35307 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 281 2.0228535 205.56257 -0.042611827 0.89906678 566.36282 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 284 2.9524046 173.28689 -0.13135241 0.95406304 555.69161 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 307 2.9206827 276.03716 -0.13195409 0.95631286 595.12709 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 1 308 0.53289756 358.36103 -0.018155030 1.0786392 565.60668 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 1 1.7280947 0.0017297239 -0.099509272 0.96664157 0.99675521 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 313 of 313 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.149136-0.0995090.010122 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 0 1.0273172 223.51808 -0.48386884 1.2692861 205.56602 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 6 0.31608968 -130.56959 -0.37721237 1.5075410 180.82038 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 13 2.9029342 -69.358458 1.0000000 1.7833386 161.06169 LOCATESKYLINES_2: sdR-r2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 18 1.3474889 12.421342 0.28050273 0.73621031 117.44937 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 26 1.0995042 103.63160 0.30412761 1.0328474 203.03284 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 52 0.89298886 -37.768007 -0.11059791 0.83182551 179.16378 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 60 2.3218309 70.268483 -0.051497590 1.0585015 195.15485 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 63 0.52829961 26.564993 -0.40048118 1.1049540 184.47038 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 82 2.0514335 65.552951 0.13716533 2.0000000 163.61358 LOCATESKYLINES_2: sdR-r2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 84 2.4376721 11.920037 -0.15400332 0.99906383 120.14189 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 109 0.55937549 33.348389 -0.020349034 0.62397553 117.16171 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 114 1.8662144 62.708036 0.14151159 1.1069805 141.98218 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 131 2.3287443 107.55773 -0.18731813 0.93354649 146.83427 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 153 3.6668712 286.21465 -0.20097820 1.0323816 166.93156 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 176 0.77190129 245.16003 -0.32190081 1.1250657 215.75079 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 180 3.7586967 251.79402 0.045275741 0.82146265 176.30427 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 184 1.0110011 253.77263 -0.074610153 0.81201535 149.50500 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 185 1.3715095 218.11498 -0.00027252986 1.0057539 111.97588 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 186 1.5056062 203.39778 -0.48943038 1.0225238 144.07975 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 201 0.69724910 250.89414 0.065713681 0.73471769 176.42014 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 204 1.9839567 223.59645 -0.60095735 1.0496847 143.41195 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 206 1.9831499 217.34475 -0.19860666 0.68590529 207.18110 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 213 3.1767358 261.87052 -0.20736974 1.3940792 120.76633 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 235 1.9911488 164.49743 -0.16874009 1.1928267 190.33706 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 257 0.75338312 268.34215 -0.10345684 0.61562890 187.68905 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 259 2.5022228 345.95741 0.011332483 0.84059916 181.11142 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 260 2.9365244 244.42223 0.059650908 0.77713343 133.27657 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 261 0.71340667 277.19341 -0.37896012 1.0638773 153.20584 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 265 2.2939813 240.24615 -0.12384362 0.87922465 171.54700 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 271 1.0843528 248.70617 0.035437077 0.90782321 168.36300 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 276 2.3456297 255.08163 -0.15674921 0.74697455 215.54061 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 281 1.1216834 100.24911 -0.33884760 1.6256300 190.59487 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 284 2.8644416 137.62714 -0.54919904 1.1649287 116.83303 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 307 1.1466388 248.01220 -0.20555827 1.3220337 150.30423 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 2 308 3.4411049 370.21813 0.056964082 0.79663636 169.43081 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 2 1.3388449 0.023500321 -0.14122457 0.94050109 0.95568158 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 297 of 297 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.190851-0.1412250.032284 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 0 0.33272745 257.04248 -0.21373257 0.82130368 348.92467 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 6 3.0747719 -213.72519 0.049795052 0.95609715 304.72482 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 13 2.2512907 -170.64074 -0.35341872 0.80921262 276.49642 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 18 0.65161963 -55.139745 0.20146486 1.0822463 258.68811 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 26 0.31652481 12.236537 -0.26660883 1.0227415 361.94742 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 52 1.0533092 -89.912420 -0.11197801 0.94680069 326.74901 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 60 2.1782044 56.138733 -0.23063085 0.97351112 309.53236 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 63 0.44656255 -18.704556 -0.17079665 1.0234236 327.35186 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 82 1.4534059 78.331741 -0.15814115 0.91435238 244.84632 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 84 0.91237369 -75.507722 -0.24125349 1.0502462 272.63657 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 109 1.7095499 -85.892927 -0.091694670 0.98841059 294.42655 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 114 0.43990878 -61.455420 0.044505331 0.89784031 379.17085 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 131 1.1665022 105.88814 0.021993317 1.0306348 345.97190 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 153 2.0541832 301.81605 -0.29150337 0.95642409 296.39096 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 176 0.59256990 288.02888 -0.24013335 0.98497628 325.05743 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 180 1.2182314 250.49985 -0.16863293 0.92733307 399.04169 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 184 0.76961647 256.41080 -0.037284287 0.95048882 305.26125 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 185 0.27969343 202.69227 0.041949130 1.0666228 320.74884 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 186 0.89063313 229.25193 -0.10281557 0.78047034 336.20413 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 201 1.7776141 214.58878 -0.11048113 1.1462950 321.18419 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 204 0.72214428 222.77402 -0.13265272 1.1850811 319.50704 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 206 0.47333653 246.36431 0.0076190577 1.0113111 284.46365 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 213 1.7521119 295.70422 -0.055854911 0.80798001 362.65116 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 235 0.52688913 205.35015 -0.13905700 0.94414544 305.44533 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 257 1.0806374 276.53022 -0.22410757 0.88441673 318.54522 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 259 1.6273518 336.71822 -0.24441383 1.0260815 346.81377 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 260 1.4432629 196.17472 -0.075259846 1.0936705 353.01210 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 261 0.36542380 279.88486 -0.0083064622 1.1312791 302.57762 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 265 1.9899365 251.33436 -0.20896974 0.99741774 318.76649 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 271 0.25558275 244.68673 -0.25891699 0.92775042 300.77615 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 276 1.1919766 238.76388 -0.088376289 0.91171738 326.22852 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 281 0.34091755 133.52948 -0.022751243 0.90812249 331.50005 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 284 1.3595285 138.91380 -0.27456616 0.92140228 329.71986 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 307 1.7686348 241.46215 -0.25745663 1.0948152 362.17133 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 3 308 1.8690093 398.57461 -0.15058064 0.93411485 290.60701 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 3 0.93064459 0.0022023661 -0.13038576 0.97178699 0.98700505 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.180012-0.1303860.017860 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 0 2.3384901 272.82088 -0.23957745 1.0209786 292.41681 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 6 1.7469296 -247.77956 -0.70552552 1.9964078 391.71939 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 13 0.86440917 -147.35198 -0.20015882 0.92223942 355.72400 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 18 1.0151379 -51.467809 -0.13934762 1.0034533 346.19566 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 26 3.0643522 48.342767 0.0057639161 1.0566425 358.27385 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 52 0.83386576 -111.21909 -0.0073503885 1.1503374 400.40696 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 60 1.4519679 76.708808 -0.10111149 1.1509933 327.28640 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 63 1.4880755 -30.336665 -0.18872966 1.1790171 424.61342 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 82 0.74829173 48.003180 0.16710320 0.85704313 384.60023 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 84 1.0633667 -88.502750 -0.037472869 0.87151548 310.91134 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 109 0.97903220 -75.506171 -0.049950726 1.0108150 367.16398 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 114 2.1945763 -44.902734 -0.18003228 0.70822680 434.84024 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 131 0.48782841 158.87219 -0.080219974 0.71355305 365.96627 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 153 0.78101681 260.90468 -0.071630760 1.0157759 387.82911 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 176 1.3762492 293.86401 -0.098936810 0.91386388 405.41007 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 180 1.1461697 247.36619 -0.048840558 0.93100679 400.75433 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 184 0.74848130 270.42791 -0.20141202 0.90947130 379.82433 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 185 1.2789183 228.81655 -0.032031945 0.99907395 375.81235 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 186 1.4794739 221.08506 -0.19527222 0.98591940 405.00228 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 201 0.42619627 254.23955 0.029476173 1.0803452 307.28103 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 204 3.8128425 243.81472 -0.077420884 0.94272235 373.98910 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 206 1.8118633 264.97422 -0.058446835 0.92199364 384.64416 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 213 1.1523902 296.45823 0.0041971045 0.83547087 462.71055 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 235 1.2333965 221.89838 -0.038972143 1.0142288 368.36473 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 257 0.76283771 270.38314 0.036864016 0.86567694 391.76623 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 259 0.37047504 366.45921 -0.13507042 1.0155462 380.39729 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 260 4.8595512 286.01881 -0.21009166 0.86907798 361.88482 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 261 1.6612063 292.28684 -0.12485441 1.2344482 364.40396 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 265 0.58526147 251.33835 0.14340505 1.0184325 382.52357 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 271 1.5142725 253.47496 -0.068127402 0.95226736 372.41169 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 276 1.2655715 223.89577 -0.059498249 0.96883420 383.68788 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 281 0.84419308 160.72688 -0.083859521 0.94940083 370.94819 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 284 0.97940551 140.80732 -0.033566274 0.96103359 391.08301 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 307 0.42053065 246.16821 0.011940871 1.0110715 371.67313 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 4 308 2.6413763 408.86630 0.17334482 1.0408045 370.31441 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 4 1.5401277 0.010137682 -0.067893450 0.96571545 0.98413005 LOCATESKYLINES_2: sdR-r2-00034754.fit: sigma-clipped to 312 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034754.fit: comb2 l,chi^2/dof,fit: 4 1.2138206 0.0040726650 -0.064368152 0.96715346 0.99141317 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 312 of 315 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.113995-0.0643680.015563 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 0 3.7906558 282.02595 -0.15697511 0.97396788 410.88418 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 6 4.2526192 -151.85691 -0.16525311 0.99430755 404.05663 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 13 4.1688127 -265.70584 -0.18674665 0.60000000 385.79517 LOCATESKYLINES_2: sdR-r2-00034754.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 18 4.3866918 -161.39141 -0.39305708 1.8967780 479.52125 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 26 0.98698641 -5.9045762 -0.28275695 0.95092254 472.30061 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 52 0.62916603 -34.938753 -0.11187677 1.0435575 458.04617 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 60 1.0514181 30.603852 -0.24215968 1.0518089 410.97940 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 63 0.70039690 -44.695044 -0.25304433 1.0817339 420.39011 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 82 0.22878659 18.272494 -0.19605239 1.0933160 437.87043 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 84 2.4988664 -108.17418 -0.010618365 0.96783455 393.29165 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 109 0.26747735 -78.068522 0.075404499 1.1196057 440.25285 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 114 1.0291286 -43.027951 -0.23682602 0.85768987 411.26771 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 131 0.33713060 171.39325 0.018358905 0.94219298 465.35309 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 153 1.1497793 235.17970 -0.0018002423 1.0795018 495.52540 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 176 3.0387786 274.36780 -0.16921585 1.0138662 410.10332 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 180 2.7655596 259.28559 -0.18569630 0.95487484 451.88367 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 184 0.48171285 243.90323 -0.17710684 1.1869664 433.28013 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 185 1.6936169 213.79566 -0.17186020 0.87962138 485.19979 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 186 0.70632476 219.68717 -0.066790629 0.88817285 462.90234 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 201 1.9708399 226.10648 -0.080978314 1.0746163 502.11660 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 204 2.5670815 244.06525 -0.10157014 1.0290094 444.97456 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 206 2.0507942 289.32432 -0.099706835 1.0772886 364.02680 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 213 1.0824928 285.08654 -0.15991261 0.85558903 494.97703 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 235 1.6444645 215.40188 0.084040842 0.78315435 528.57581 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 257 0.24051340 256.24728 -0.21620725 1.1476943 461.50110 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 259 1.2065194 346.49032 -0.14812093 0.88555731 492.70343 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 260 1.9515311 209.61179 -0.14307425 1.0841583 406.22147 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 261 0.66666843 272.01488 -0.13849902 0.88292540 464.30520 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 265 1.7412143 224.11112 -0.17981600 1.0267748 464.80064 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 271 2.7062605 228.44728 -0.17741433 0.93429821 458.88706 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 276 1.6261041 210.87382 -0.21206894 0.84623869 479.22066 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 281 1.1422099 139.31639 -0.18427914 0.90303792 457.90018 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 284 0.38305631 121.58962 -0.20193299 1.0802889 481.70706 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 307 1.5721714 230.09151 -0.058734389 1.0298673 372.11944 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 5 308 1.1590004 417.40407 -0.094022839 1.0729903 449.80710 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 5 1.5282517 0.0066877086 -0.13314782 0.99102376 0.98697551 LOCATESKYLINES_2: sdR-r2-00034754.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034754.fit: comb2 l,chi^2/dof,fit: 5 1.2747558 0.0038726041 -0.14036378 0.99395271 0.99478689 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.189990-0.1403640.014465 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 0 1.8427102 209.16352 -0.19867036 1.0172631 961.24867 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 6 2.4396353 -152.36982 -0.21859832 0.92736537 744.58511 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 13 3.0514949 -300.62287 0.011653344 0.73969878 962.36989 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 18 3.7508300 -129.49491 -0.013170712 0.88421105 938.46526 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 26 4.5708135 -44.598897 -0.18302812 0.98148384 1013.2337 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 52 3.8614693 -54.547886 -0.054945338 0.85384943 948.39958 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 60 2.5974677 -32.126183 -0.18101880 1.0048609 963.59091 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 63 0.90552584 -110.69776 -0.17169662 0.96885725 1020.1196 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 82 0.94170753 -30.433382 -0.23847722 1.0284652 923.99964 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 84 3.5243715 -114.25053 -0.31375926 0.87820890 895.85123 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 109 3.0796662 -136.48525 -0.23413493 1.1042229 936.16924 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 114 2.8921460 -84.115384 -0.13093783 0.96130734 1009.2464 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 131 0.67232619 149.99107 -0.13381857 1.0000409 922.96469 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 153 0.53865415 273.79928 -0.23324874 1.0565112 927.63528 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 176 3.9641559 249.35082 -0.20065023 0.97561691 1001.1131 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 180 3.3536148 226.90940 -0.22001458 0.96315518 989.89958 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 184 2.0433655 229.98570 -0.20381131 0.93955423 932.47382 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 185 0.86038246 214.02931 -0.30673389 0.91406754 907.11964 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 186 2.9396553 215.89067 -0.19859831 0.90506031 908.98474 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 201 2.6446856 200.14018 -0.23568421 0.96877377 935.97188 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 204 0.49654465 239.23052 -0.21166435 0.93131355 946.79506 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 206 0.98457188 220.17225 -0.20899391 0.94875517 1053.2118 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 213 2.3451319 262.36467 -0.23449394 0.94309010 975.74079 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 235 1.8421607 184.66001 -0.12501853 0.99186784 882.41436 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 257 0.92357016 202.62196 -0.27580953 1.0557358 942.56050 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 259 2.3608913 295.80666 -0.19486031 0.96918973 957.15279 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 260 4.5595693 164.92364 -0.23341828 0.99480306 999.47776 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 261 3.1544588 227.40141 -0.24531510 1.0040224 990.51061 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 265 1.4688735 231.47165 -0.25224942 0.88450401 942.10057 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 271 1.2849637 171.53288 -0.25522309 0.95019364 974.46094 LOCATESKYLINES_2: sdR-r2-00034754.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 281 0.99421788 108.27261 -0.18715669 0.94774056 1002.6464 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 284 1.4371431 115.72738 -0.12880869 0.99090188 847.33796 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 307 1.7202982 193.87444 -0.19178741 0.92771869 1049.8479 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 6 308 0.42787858 362.43833 -0.20052322 0.91898803 970.77374 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 6 1.7782812 0.0011925676 -0.19857487 0.95837249 0.99510938 LOCATESKYLINES_2: sdR-r2-00034754.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034754.fit: comb2 l,chi^2/dof,fit: 6 1.5686269 0.0012898190 -0.20402658 0.96332909 0.99402358 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.253653-0.2040270.007804 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 0 1.9741391 219.55418 -0.12196512 0.86914242 1232.7416 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 6 4.3088134 -244.54565 -0.050447992 0.94395255 1128.8610 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 13 5.9074384 -261.27527 0.10092438 1.0010239 985.51158 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 18 2.3163313 -153.85555 -0.079507930 0.99803981 1267.7743 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 26 1.8108713 -28.677011 -0.093366860 0.82764509 1193.5680 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 52 1.9154583 -92.247783 -0.21495650 1.0149804 1042.1872 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 60 2.5173335 11.857863 -0.10004072 0.85492195 1228.8974 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 63 1.4243219 -101.52038 -0.20492684 0.95837532 1229.4605 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 82 2.0137313 -38.447990 -0.12938251 0.98909039 1092.5634 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 84 2.8572964 -152.53444 -0.17582051 0.91350765 1148.2562 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 109 1.7101866 -40.495624 -0.13654217 0.90999140 1098.0502 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 114 3.7950250 -62.919859 -0.12944074 0.97814552 1067.4041 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 131 0.78041515 130.78238 -0.15554242 0.87576751 1225.6506 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 153 0.74301424 257.75918 -0.18790001 0.87554582 1282.2126 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 176 2.3481188 232.48396 -0.13410188 0.91732730 1136.3826 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 180 5.7235648 213.44631 -0.17915960 0.94564711 1168.2392 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 184 1.4671089 215.31989 -0.17001030 0.96503577 1122.8610 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 185 0.63993183 213.16110 -0.18715905 0.98169738 1091.2970 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 186 0.11203814 179.63419 -0.12478108 0.95936231 1120.3783 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 201 1.4213346 215.76081 -0.19778386 0.91414900 1161.3879 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 204 1.2704399 254.37747 -0.10024702 0.88817919 1131.4983 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 206 1.0549251 283.04789 -0.22978515 0.93681148 1143.6523 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 213 1.6330894 274.87726 -0.13113946 0.94280303 1060.5943 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 235 1.4629978 183.73182 -0.15883896 0.90298770 1132.9050 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 257 2.7692543 238.60151 -0.15777418 0.96826476 1120.4342 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 259 2.2122908 326.78722 -0.18908688 0.86465287 1183.0426 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 260 3.2117767 161.88353 -0.14974051 0.96588633 1211.6096 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 261 1.4558536 247.70227 -0.10325836 0.95348994 1112.8931 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 265 0.86016166 197.80913 -0.16687604 0.88120052 1157.9520 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 271 1.6566319 186.16717 -0.13629113 0.95484666 1226.2066 LOCATESKYLINES_2: sdR-r2-00034754.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 281 0.95152005 143.24348 -0.087614106 0.95549018 1042.7788 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 284 0.49988108 120.15252 -0.20453918 0.92404183 1130.6612 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 307 2.9495956 208.86041 -0.18437121 0.85603051 1194.8748 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 7 308 0.44407957 387.04892 -0.13986351 0.90619057 1115.2061 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 7 1.5660514 0.00067283564 -0.14732737 0.92646536 0.99712575 LOCATESKYLINES_2: sdR-r2-00034754.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034754.fit: comb2 l,chi^2/dof,fit: 7 1.5046598 0.00076908370 -0.14903503 0.92456786 0.99752593 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.198662-0.1490350.006562 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 0 1.4728271 100.08306 -0.13637816 0.97020015 1496.1484 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 6 0.67817726 -200.95070 -0.10804409 0.92890881 1423.6405 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 13 1.5009378 -271.51726 -0.043426541 0.87969154 1436.5253 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 18 2.0289241 -208.46353 -0.11127224 0.99128341 1458.4935 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 26 0.95062890 -46.089814 -0.051415923 0.92046291 1576.6514 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 52 1.5003125 -127.48725 -0.11948619 0.95703407 1481.1644 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 60 2.7274314 -78.784268 -0.053732292 0.95929097 1494.1368 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 63 0.58656862 -139.31450 -0.13774047 0.96253225 1523.4579 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 82 0.55912237 -81.742593 -0.10768824 0.96075245 1373.7475 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 84 2.5270494 -232.04708 -0.12571654 0.93467230 1495.6942 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 109 1.8929544 -166.55501 -0.097929197 0.95249554 1385.9653 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 114 2.1896606 -131.48747 -0.10597946 0.88024000 1502.2254 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 131 2.9253430 0.60813008 -0.13866363 0.90689341 1522.4410 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 153 4.7883154 79.066334 -0.16293059 0.98681343 1490.7804 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 176 0.72676962 113.32646 -0.091254968 0.93351954 1509.0363 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 180 3.5593172 108.36943 -0.11482641 0.90932864 1552.4208 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 184 5.8988287 103.09218 -0.14720800 1.0169283 1438.5586 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 185 4.4274981 84.158344 -0.18103218 0.92668288 1490.3316 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 186 1.8266495 81.243793 -0.10544805 0.92291713 1572.6448 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 201 1.2625560 71.453914 -0.15534768 0.90272337 1482.1258 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 204 1.5257342 74.039541 -0.11974439 0.92168308 1559.6446 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 206 1.9710393 68.566880 -0.099356111 0.93420820 1564.9374 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 213 2.4496044 71.291346 -0.12408424 0.94016985 1517.2050 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 235 4.5182756 49.687089 -0.082898128 0.85298449 1539.9913 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 257 4.7253350 106.01975 -0.12195167 0.89589453 1585.4058 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 259 4.1209561 172.89784 -0.14873236 0.90510345 1528.5525 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 260 2.8429273 75.671680 -0.095519549 0.90076928 1565.5722 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 261 10.125149 160.29983 -0.13253271 0.86449253 1573.3615 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 265 6.6960852 66.589756 -0.15543763 0.92846918 1564.7099 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 271 3.1112074 60.238643 -0.19596774 0.91717570 1572.1097 LOCATESKYLINES_2: sdR-r2-00034754.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 281 0.29584528 46.887247 -0.13079507 0.89140693 1522.1365 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 284 2.3772425 30.933692 -0.071076578 0.88690190 1543.7481 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 307 13.292064 119.45451 0.039190713 1.1009164 1399.7638 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 8 308 1.0968428 228.66389 -0.17685862 0.87740130 1590.0134 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 8 2.2412928 0.00066803289 -0.12028885 0.92429563 0.99892832 LOCATESKYLINES_2: sdR-r2-00034754.fit: sigma-clipped to 300 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034754.fit: comb2 l,chi^2/dof,fit: 8 1.6129685 6.2537692e-06 -0.11706182 0.92188509 0.99757570 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 300 of 306 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.166688-0.1170620.005211 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 0 3.4104326 135.95851 -0.16081946 0.93976027 1617.4338 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 6 1.5630129 -185.24048 -0.10801330 0.88981329 1581.6126 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 13 0.72055252 -326.51419 -0.040041589 0.97153102 1417.5152 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 18 1.4137114 -117.31488 -0.12108101 0.96192076 1554.0045 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 26 1.6669067 -88.132091 -0.13290420 0.95659987 1649.2947 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 52 2.4715569 -118.98756 -0.064046297 0.96938269 1729.8266 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 60 1.1384794 -61.893116 -0.14284089 1.0116269 1612.4512 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 63 0.77929905 -99.802415 -0.15834216 0.89759927 1700.9668 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 82 2.8119193 -110.03753 -0.23179282 0.97186987 1643.2498 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 84 0.58010396 -222.76356 -0.16761385 0.95249107 1613.9487 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 109 2.3956328 -199.56575 -0.11849213 0.96970785 1628.5479 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 114 0.73584865 -158.81560 -0.12536639 1.0141364 1608.8893 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 131 3.8296124 -1.9876043 -0.12497165 0.92259944 1741.7709 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 153 1.9896154 89.889915 -0.19814889 0.96671392 1770.7088 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 176 2.1053060 132.11690 -0.15054436 0.94931480 1613.2892 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 180 0.83477498 115.31923 -0.13788472 0.91616386 1728.6886 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 184 0.63301063 141.84466 -0.17257597 0.96431956 1571.9974 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 185 1.2718181 96.165351 -0.18073400 0.93513693 1700.0973 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 186 1.3557556 75.465987 -0.10041616 0.93832841 1710.0548 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 201 2.9824085 113.13729 -0.15397870 0.91586232 1767.4721 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 204 0.23928439 88.695166 -0.13978366 0.95904642 1747.2538 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 206 6.2967661 112.61859 -0.14066236 0.94404121 1653.6086 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 213 2.0177121 89.689080 -0.10347665 0.93588879 1744.8160 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 235 3.8100333 47.614175 -0.13220160 0.93093760 1684.6381 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 257 2.8072379 120.15788 -0.13647956 0.91660211 1717.7876 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 259 2.4479858 171.01029 -0.18598088 0.91753711 1690.7600 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 260 1.4204495 96.414923 -0.098196119 0.93873645 1704.0905 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 261 1.0224667 108.76738 -0.12244334 0.97275864 1698.8998 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 265 0.57855248 50.567504 -0.17512389 0.95795573 1712.8432 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 271 1.5164277 96.311324 -0.10864520 0.92739192 1739.0890 LOCATESKYLINES_2: sdR-r2-00034754.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 281 2.5833046 46.760502 -0.14903703 0.93466580 1689.3874 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 284 3.2658807 12.509335 -0.12573491 0.93100040 1743.5585 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 307 0.26852741 73.662539 -0.10967196 0.94307215 1677.0702 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 9 308 3.0618678 237.00517 -0.15712852 0.92375873 1715.7212 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 9 1.3944195 0.00022097903 -0.13925890 0.94191053 0.99935381 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.188886-0.1392590.004768 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 0 3.6408295 -20.698613 -0.071032313 0.96747587 1591.2969 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 6 1.2885336 -268.43903 -0.15076381 0.92203892 1490.8959 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 13 5.9531421 -458.46202 0.031734520 1.0338970 1435.8703 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 18 0.20604386 -102.05303 -0.084814915 0.92090982 1511.6618 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 26 37.589020 -75.018521 -0.10888751 0.83759219 1340.8076 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 52 1.5435539 -161.99098 -0.14202928 0.95134791 1497.0424 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 60 1.5947275 -105.91056 -0.10311408 1.0214869 1478.3970 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 63 0.17521442 -126.16471 -0.14116866 1.0116856 1473.8477 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 82 0.41425366 -125.56928 -0.059992305 1.0311758 1422.5398 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 84 1.9071048 -244.46267 -0.073356393 0.97432966 1459.1082 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 109 0.38661839 -191.91752 -0.015384219 1.0382460 1456.4309 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 114 1.4119275 -193.36987 -0.14732345 0.98471840 1418.9240 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 131 0.56872773 -113.88861 -0.096418164 0.93576371 1659.7778 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 153 3.8634863 -29.471729 -0.12714707 0.99422183 1529.5156 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 176 2.3836747 50.251748 -0.10440046 0.95501534 1556.0990 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 180 1.5942886 64.677629 -0.089919354 0.92152022 1579.3371 LOCATESKYLINES_2: sdR-r2-00034754.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 185 30.420457 1.9824623 -0.49933746 1.2610288 1588.4563 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 186 0.90920554 2.1704258 -0.11648421 0.98280553 1536.8903 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 201 1.9868689 17.341823 -0.10493572 0.96255971 1522.0669 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 204 5.4450871 -27.269385 -0.10056924 0.93907758 1534.8339 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 206 5.6011760 41.849216 -0.030002812 0.97024974 1488.0753 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 213 1.6115489 -2.9673518 -0.13292575 0.92408183 1568.1963 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 235 2.0478958 -74.621897 -0.10047093 0.95385577 1609.3830 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 257 3.9404917 42.873627 -0.050294152 0.89455174 1619.8352 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 259 1.8850132 79.183234 -0.062153212 0.91702604 1534.4329 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 260 3.3530534 5.9134916 -0.089314859 0.94378573 1569.2516 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 261 5.5253733 80.100785 -0.12022521 0.95000234 1543.8120 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 265 0.95483735 -10.271976 -0.13009443 0.97581742 1569.6681 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 271 1.2149130 3.7004317 -0.11761599 0.92936086 1628.2749 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 276 0.96661877 13.566468 -0.15838128 0.93176843 1488.8292 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 281 2.7982224 -42.296776 -0.16385845 0.97205544 1506.8278 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 284 2.6168742 -31.642284 -0.10181945 0.91086140 1573.7423 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 307 4.8973784 -10.126881 -0.089325744 0.95786225 1629.7011 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 10 308 4.0381660 138.86252 -0.15807486 0.93082758 1529.4911 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 10 3.4460816 0.0022362398 -0.10656220 0.95349167 0.99717320 LOCATESKYLINES_2: sdR-r2-00034754.fit: sigma-clipped to 301 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034754.fit: comb2 l,chi^2/dof,fit: 10 1.7617037 0.0014304073 -0.10449335 0.94909851 0.99850566 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 301 of 306 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.154120-0.1044930.005192 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 0 1.1521279 30.688165 -0.10970250 0.94211843 1693.3545 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 6 1.3304661 -248.01935 -0.16137039 0.96138173 1753.0591 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 13 4.4381084 -395.45226 -0.10791144 0.96510815 1587.8879 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 18 0.89840122 -115.29695 -0.12157009 0.91101060 1742.1397 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 26 3.8813463 -126.64179 -0.081482861 0.91996357 1702.8302 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 52 0.49397024 -133.97082 -0.10079731 0.97808323 1696.4943 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 60 1.2656586 -107.65935 -0.13587492 0.96704590 1798.1298 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 63 1.1764977 -133.15451 -0.15174311 0.98893851 1790.6816 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 82 3.0261093 -153.03234 -0.13227803 1.0074876 1635.4451 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 84 1.5789224 -265.60071 -0.13765103 0.98673645 1615.0806 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 109 4.1873132 -192.31183 -0.065169020 0.96904311 1626.7058 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 114 1.3473577 -224.58736 -0.18204015 0.96340719 1734.4456 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 131 1.6878549 -93.473577 -0.099449309 0.95639934 1782.1887 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 153 4.8823960 -49.083437 -0.13905559 1.0073923 1806.4012 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 176 1.4297441 51.741200 -0.15427676 0.95930307 1782.7774 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 180 2.2670797 53.826181 -0.066542126 0.94944951 1757.1444 LOCATESKYLINES_2: sdR-r2-00034754.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 185 2.1868962 30.822540 -0.11367873 0.92955879 1815.4968 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 186 1.0824124 48.603480 -0.060492693 0.92722118 1774.6288 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 201 0.56528424 38.185890 -0.11835658 0.94074280 1639.2159 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 204 3.8766232 7.4150080 -0.17077959 0.92451565 1787.0980 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 206 6.0141270 -7.6085025 -0.10844378 0.96515536 1787.4348 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 213 3.3848728 0.027572439 -0.068969942 0.93221325 1714.8906 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 235 3.5485052 -27.754192 -0.15368366 0.92866045 1737.9586 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 257 2.8791420 35.900626 -0.13544979 0.87164095 1934.7148 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 259 0.55890507 74.208641 -0.14353354 0.89569446 1863.4146 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 260 1.0328889 10.394531 -0.070900817 0.92697655 1859.8164 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 261 2.0189617 40.233893 -0.13124044 0.88947070 1868.1767 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 265 3.2538489 18.909875 -0.12108060 0.87223074 1906.3877 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 271 3.8334164 9.8423476 -0.15449865 0.91862915 1796.6056 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 276 2.0792712 25.102247 -0.17368634 0.86903303 1724.9156 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 281 0.89623601 -36.843677 -0.13964496 0.99306953 1726.9670 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 284 5.3913539 -8.0781078 -0.10836383 0.88628197 1833.0646 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 307 1.1686025 18.818111 -0.13649970 0.93113289 1879.1484 LOCATESKYLINES_2: sdR-r2-00034754.fit: l,f,chi^2/dof,c: 11 308 4.5933422 132.37971 -0.11459342 0.91523323 1839.1584 LOCATESKYLINES_2: sdR-r2-00034754.fit: comb1 l,chi^2/dof,fit: 11 1.9349773 0.00033434080 -0.12263836 0.93286256 0.99934427 LOCATESKYLINES_2: sdR-r2-00034754.fit: sigma-clipped to 302 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034754.fit: comb2 l,chi^2/dof,fit: 11 1.6589898 8.3745855e-05 -0.11948133 0.93994007 0.99690811 LOCATESKYLINES_2: sdR-r2-00034754.fit: kept 302 of 306 points LOCATESKYLINES_2: sdR-r2-00034754.fit: offset, refoff, sigma: -0.169108-0.1194810.004600 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 FITMEANX: sdR-r2-00034754.fit: In skyline number 0 std-dev is 0.026064116 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 1 std-dev is 0.041211641 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 2 std-dev is 0.097191334 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 3 std-dev is 0.057924380 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 4 std-dev is 0.078668750 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 5 std-dev is 0.076139589 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 6 std-dev is 0.063070009 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 7 std-dev is 0.053777922 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 8 std-dev is 0.050377778 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 9 std-dev is 0.034021824 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 10 std-dev is 0.044950307 pix FITMEANX: sdR-r2-00034754.fit: In skyline number 11 std-dev is 0.036346201 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 6300.3040 coadded std-dev is 0.00428602 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 6363.7760 coadded std-dev is 0.0101220 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 6553.6100 coadded std-dev is 0.0322839 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 6923.2100 coadded std-dev is 0.0178596 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 6949.0300 coadded std-dev is 0.0155626 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 7571.7500 coadded std-dev is 0.0144654 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 7794.1200 coadded std-dev is 0.00780351 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 7821.5100 coadded std-dev is 0.00656196 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 8399.1600 coadded std-dev is 0.00521078 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 8430.1700 coadded std-dev is 0.00476786 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 8885.8300 coadded std-dev is 0.00519217 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: In sky feature at 8919.6100 coadded std-dev is 0.00460026 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034754.fit: Median arc shift = -0.17714956 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: Dispersion in arc shift = 0.019813577 pix LOCATESKYLINES_2: sdR-r2-00034754.fit: Maximum sky-line shift is 0.20670918 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Number of sky fibers = 25 ROW NITER SIG(med) CHI^2 .0000 5 0.87 1.25 .0001 11 0.87 0.78 .0002 19 0.87 0.56 .0003 11 0.87 0.89 .0004 13 0.87 1.97 .0005 20 0.87 0.94 .0006 2 0.87 1.09 .0007 20 0.87 0.85 .0008 7 0.87 0.83 .0009 7 0.87 1.04 .0010 13 0.87 0.80 .0011 13 0.87 2.18 .0012 12 0.87 2.27 .0013 2 0.87 1.15 .0014 12 0.87 1.61 .0015 4 0.87 0.86 .0016 18 0.87 0.78 .0017 5 0.87 1.05 .0018 5 0.87 0.77 .0019 8 0.87 0.80 .0020 13 0.84 1.32 .0021 10 0.84 0.92 .0022 20 0.84 1.22 .0023 20 0.84 2.40 .0024 9 0.84 0.94 .0025 10 0.84 1.10 .0026 3 0.84 0.97 .0027 20 0.84 1.53 .0028 13 0.84 0.77 .0029 12 0.84 1.10 .0030 11 0.84 0.95 .0031 17 0.84 0.68 .0032 20 0.84 1.70 .0033 11 0.84 0.84 .0034 20 0.84 1.01 .0035 12 0.84 1.82 .0036 5 0.84 0.92 .0037 13 0.84 1.27 .0038 12 0.84 0.90 .0039 14 0.84 1.04 .0040 20 0.88 1.65 .0041 14 0.88 1.01 .0042 12 0.88 0.98 .0043 11 0.88 0.84 .0044 7 0.88 0.79 .0045 20 0.88 0.86 .0046 20 0.88 1.76 .0047 17 0.88 0.91 .0048 5 0.88 0.73 .0049 12 0.88 0.85 .0050 10 0.88 0.93 .0051 20 0.88 0.82 .0052 3 0.88 0.93 .0053 12 0.88 0.87 .0054 14 0.88 0.97 .0055 13 0.88 1.49 .0056 14 0.88 0.81 .0057 9 0.88 0.86 .0058 10 0.88 0.96 .0059 11 0.88 1.08 .0060 4 0.85 1.14 .0061 13 0.85 0.93 .0062 13 0.85 1.16 .0063 3 0.85 0.84 .0064 20 0.85 1.11 .0065 9 0.85 0.87 .0066 16 0.85 0.75 .0067 14 0.85 0.94 .0068 12 0.85 0.73 .0069 20 0.85 1.50 .0070 17 0.85 1.58 .0071 5 0.85 0.76 .0072 11 0.85 1.19 .0073 13 0.85 0.85 .0074 11 0.85 0.71 .0075 16 0.85 0.93 .0076 20 0.85 1.16 .0077 13 0.85 1.27 .0078 20 0.85 1.02 .0079 9 0.85 0.82 .0080 20 0.86 0.80 .0081 15 0.86 0.83 .0082 1 0.86 0.97 .0083 9 0.86 0.87 .0084 2 0.86 0.88 .0085 5 0.86 0.77 .0086 20 0.86 1.80 .0087 15 0.86 0.97 .0088 20 0.86 0.65 .0089 9 0.86 0.85 .0090 13 0.86 0.84 .0091 9 0.86 0.84 .0092 5 0.86 0.87 .0093 11 0.86 0.86 .0094 11 0.86 0.89 .0095 7 0.86 0.97 .0096 18 0.86 0.62 .0097 20 0.86 1.00 .0098 14 0.86 0.92 .0099 10 0.86 0.88 .0100 12 0.85 0.97 .0101 20 0.85 0.64 .0102 20 0.85 1.06 .0103 12 0.85 0.82 .0104 11 0.85 1.14 .0105 20 0.85 1.33 .0106 6 0.85 0.96 .0107 17 0.85 0.86 .0108 10 0.85 0.87 .0109 5 0.85 0.90 .0110 5 0.85 0.65 .0111 13 0.85 0.74 .0112 15 0.85 1.69 .0113 10 0.85 0.90 .0114 2 0.85 1.04 .0115 5 0.85 0.73 .0116 13 0.85 0.94 .0117 14 0.85 1.66 .0118 10 0.85 0.82 .0119 14 0.85 0.86 .0120 12 0.82 0.82 .0121 11 0.82 0.96 .0122 20 0.82 0.67 .0123 14 0.82 0.84 .0124 8 0.82 0.98 .0125 11 0.82 0.94 .0126 8 0.82 0.89 .0127 10 0.82 0.87 .0128 13 0.82 1.72 .0129 8 0.82 0.85 .0130 20 0.82 0.95 .0131 1 0.82 1.25 .0132 12 0.82 1.91 .0133 6 0.82 1.05 .0134 5 0.82 1.08 .0135 13 0.82 0.92 .0136 5 0.82 0.63 .0137 14 0.82 0.79 .0138 7 0.82 0.82 .0139 11 0.82 1.68 .0140 10 0.82 0.75 .0141 20 0.82 0.92 .0142 20 0.82 0.93 .0143 10 0.82 0.98 .0144 13 0.82 0.98 .0145 5 0.82 0.81 .0146 7 0.82 0.91 .0147 13 0.82 0.92 .0148 14 0.82 0.96 .0149 20 0.82 1.45 .0150 11 0.82 1.41 .0151 7 0.82 1.12 .0152 10 0.82 0.93 .0153 5 0.82 1.27 .0154 20 0.82 1.49 .0155 20 0.82 1.47 .0156 10 0.82 1.02 .0157 20 0.82 1.12 .0158 10 0.82 0.93 .0159 14 0.82 1.06 .0160 10 0.82 1.03 .0161 11 0.82 1.03 .0162 10 0.82 1.16 .0163 8 0.82 1.00 .0164 7 0.82 1.01 .0165 3 0.82 0.87 .0166 5 0.82 0.72 .0167 12 0.82 0.95 .0168 5 0.82 0.90 .0169 5 0.82 1.09 .0170 14 0.82 0.94 .0171 11 0.82 0.88 .0172 4 0.82 1.32 .0173 4 0.82 0.93 .0174 4 0.82 0.81 .0175 5 0.82 0.89 .0176 3 0.82 1.47 .0177 6 0.82 0.90 .0178 5 0.82 0.92 .0179 10 0.82 1.17 .0180 4 0.79 1.42 .0181 8 0.79 0.93 .0182 3 0.79 1.25 .0183 14 0.79 0.89 .0184 2 0.79 0.86 .0185 9 0.79 1.12 .0186 5 0.79 0.85 .0187 4 0.79 0.88 .0188 9 0.79 1.22 .0189 6 0.79 1.11 .0190 3 0.79 1.08 .0191 4 0.79 0.81 .0192 5 0.79 1.03 .0193 2 0.79 1.17 .0194 3 0.79 1.09 .0195 6 0.79 1.07 .0196 5 0.79 0.82 .0197 18 0.79 0.72 .0198 3 0.79 0.96 .0199 4 0.79 0.93 .0200 11 0.80 0.87 .0201 2 0.80 1.41 .0202 20 0.80 1.23 .0203 16 0.80 0.76 .0204 4 0.80 1.05 .0205 20 0.80 1.69 .0206 3 0.80 0.93 .0207 20 0.80 1.41 .0208 16 0.80 0.82 .0209 20 0.80 0.98 .0210 12 0.80 0.94 .0211 12 0.80 0.96 .0212 14 0.80 1.00 .0213 3 0.80 1.15 .0214 5 0.80 0.85 .0215 17 0.80 1.20 .0216 17 0.80 1.95 .0217 20 0.80 1.44 .0218 4 0.80 0.80 .0219 10 0.80 1.05 .0220 9 0.78 1.17 .0221 7 0.78 1.00 .0222 15 0.78 0.75 .0223 20 0.78 0.84 .0224 8 0.78 0.41 .0225 5 0.78 0.78 .0226 19 0.78 0.77 .0227 5 0.78 0.75 .0228 20 0.78 0.84 .0229 4 0.78 0.78 .0230 5 0.78 0.85 .0231 6 0.78 1.04 .0232 3 0.78 0.81 .0233 5 0.78 0.85 .0234 11 0.78 0.86 .0235 3 0.78 0.90 .0236 12 0.78 0.84 .0237 12 0.78 0.84 .0238 20 0.78 0.94 .0239 5 0.78 0.84 .0240 15 0.80 1.27 .0241 0 0.80 0.00 .0242 20 0.80 0.93 .0243 7 0.80 1.14 .0244 13 0.80 0.81 .0245 12 0.80 1.19 .0246 11 0.80 0.94 .0247 7 0.80 0.95 .0248 13 0.80 0.86 .0249 12 0.80 0.83 .0250 5 0.80 1.04 .0251 15 0.80 1.38 .0252 10 0.80 0.87 .0253 12 0.80 0.88 .0254 5 0.80 0.89 .0255 11 0.80 0.88 .0256 8 0.80 0.94 .0257 2 0.80 1.65 .0258 11 0.80 0.81 .0259 7 0.80 1.00 .0260 3 0.80 1.22 .0261 2 0.80 1.13 .0262 19 0.80 0.73 .0263 0 0.80 0.00 .0264 6 0.80 1.09 .0265 4 0.80 1.28 .0266 20 0.80 0.56 .0267 6 0.80 0.87 .0268 10 0.80 1.04 .0269 12 0.80 1.20 .0270 12 0.80 0.97 .0271 5 0.80 1.20 .0272 6 0.80 1.03 .0273 9 0.80 0.93 .0274 12 0.80 0.89 .0275 20 0.80 1.12 .0276 3 0.80 0.46 .0277 15 0.80 1.09 .0278 11 0.80 1.70 .0279 9 0.80 1.09 .0280 12 0.82 0.82 .0281 5 0.82 0.85 .0282 11 0.82 1.13 .0283 12 0.82 0.81 .0284 5 0.82 0.81 .0285 5 0.82 0.88 .0286 11 0.82 0.82 .0287 12 0.82 0.79 .0288 10 0.82 0.87 .0289 12 0.82 0.89 .0290 13 0.82 0.85 .0291 12 0.82 1.40 .0292 0 0.82 0.00 .0293 14 0.82 0.89 .0294 12 0.82 0.79 .0295 5 0.82 0.83 .0296 13 0.82 0.90 .0297 13 0.82 0.81 .0298 20 0.82 1.19 .0299 14 0.82 0.80 .0300 10 0.84 0.92 .0301 5 0.84 0.99 .0302 9 0.84 0.88 .0303 18 0.84 1.39 .0304 4 0.84 1.09 .0305 10 0.84 0.91 .0306 8 0.84 1.02 .0307 4 0.84 0.91 .0308 5 0.84 0.87 .0309 13 0.84 0.82 .0310 14 0.84 0.89 .0311 0 0.84 0.00 .0312 20 0.84 1.64 .0313 20 0.84 0.73 .0314 11 0.84 0.87 .0315 14 0.84 1.49 .0316 20 0.84 1.21 .0317 10 0.84 0.79 .0318 12 0.84 0.85 .0319 3 0.84 0.42 EXTRACT_IMAGE: sdR-r2-00034754.fit: masked 3984 pixels SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 0 median sigma(arc)= 0.92538154 sigma(sky)= 1.1955624 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 0 sigma^2(add)= 0.59746289 +/- 0.39321974 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 1 median sigma(arc)= 0.91722219 sigma(sky)= -1249.7474 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 1 sigma^2(add)= 1116822.7 +/- 1767634.9 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 2 median sigma(arc)= 0.89494878 sigma(sky)= -5566.8398 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 2 sigma^2(add)= 31563771. +/- 1.4271976e+08 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 3 median sigma(arc)= 0.86115209 sigma(sky)= 1.5378661 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 3 sigma^2(add)= 1.6234491 +/- 0.88779320 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 4 median sigma(arc)= 0.85928199 sigma(sky)= 1.3373282 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 4 sigma^2(add)= 1.0500808 +/- 0.51412855 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 5 median sigma(arc)= 0.83485036 sigma(sky)= -4.8229185 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 5 sigma^2(add)= 22.563565 +/- 807866.86 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 6 median sigma(arc)= 0.83625110 sigma(sky)= 0.88515983 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 6 sigma^2(add)= 0.11196491 +/- 0.29664603 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 7 median sigma(arc)= 0.83681128 sigma(sky)= 0.88263817 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 7 sigma^2(add)= 0.071403089 +/- 0.27010057 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 8 median sigma(arc)= 0.86942366 sigma(sky)= 0.90397670 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 8 sigma^2(add)= 0.061276900 +/- 0.19093859 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 9 median sigma(arc)= 0.87234103 sigma(sky)= 0.90960295 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 9 sigma^2(add)= 0.085451959 +/- 0.26183295 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 10 median sigma(arc)= 0.92983599 sigma(sky)= 0.88903917 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 10 sigma^2(add)= -0.056449323 +/- 0.19403758 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 11 median sigma(arc)= 0.93522502 sigma(sky)= 0.94805004 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Line # 11 sigma^2(add)= 0.024153557 +/- 0.25429414 SKYLINE_DISPERSION: sdR-r2-00034754.fit: Flexure sigma^2(add) = 0.059802284 +/- 0.14177625 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034754.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034754.fit: Heliocentric correction = 22.873117 km/s FITVACSET: sdR-r2-00034754.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034754.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034754.fit: Total rejected = 0 highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034754.fit: Number of pixels rejected: 5 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034754.fit: Number of sky fibers = 23 SKYSUBTRACT: sdR-r2-00034754.fit: Airmass range = 1.18012 1.21713 SKYSUBTRACT: sdR-r2-00034754.fit: Discarding 0.00314198 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 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of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034754.fit: Median sky-residual chi2 = 5.58606 SKYSUBTRACT: sdR-r2-00034754.fit: Max sky-residual chi2 = 47.1167 EXTRACT_OBJECT: sdR-r2-00034754.fit: Calling skysubtract again; masked skyfibers 18 52 60 63 82 SKYSUBTRACT: sdR-r2-00034754.fit: Number of sky fibers = 18 SKYSUBTRACT: sdR-r2-00034754.fit: Airmass range = 1.18012 1.21713 SKYSUBTRACT: sdR-r2-00034754.fit: Discarding 0.00303819 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 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Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034754.fit: Median sky-residual chi2 = 2.53937 SKYSUBTRACT: sdR-r2-00034754.fit: Max sky-residual chi2 = 11.0202 QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 1 = 17.2009 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 132 = -99.6388 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 177 = 45.4792 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 181 = 27.0237 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 202 = 10.7126 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 207 = 18.2375 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 214 = 33.8050 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 236 = -37.4859 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 258 = 28.0516 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 266 = 18.4814 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 272 = 13.6690 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 282 = -60.3771 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 285 = -68.0828 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 308 = 16.8838 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Median sky-residual chi = 1.59520 QAPLOT_SKYSUB: sdR-r2-00034754.fit: Max sky-residual chi = 3.14903 at 6660.4961 Ang SKYSUBTRACT: sdR-r2-00034754.fit: Number of sky fibers = 18 SKYSUBTRACT: sdR-r2-00034754.fit: Airmass range = 1.18012 1.21713 SKYSUBTRACT: sdR-r2-00034754.fit: Discarding 0.00303819 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 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Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034754.fit: Median sky-residual chi2 = 2.60855 SKYSUBTRACT: sdR-r2-00034754.fit: Max sky-residual chi2 = 12.9733 QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 1 = 12.3126 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 132 = -104.974 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 177 = 37.6777 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 181 = 20.8544 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 187 = -11.2144 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 207 = 14.3292 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 214 = 31.0385 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 236 = -37.0855 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 258 = 31.7624 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 266 = 24.3739 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 272 = 20.2679 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 282 = -51.1065 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 285 = -57.0793 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Warning: Median sky-sub flux in sky fiber 308 = 32.3393 electrons QAPLOT_SKYSUB: sdR-r2-00034754.fit: Median sky-residual chi = 1.60387 QAPLOT_SKYSUB: sdR-r2-00034754.fit: Max sky-residual chi = 3.37877 at 6223.0124 Ang QAPLOT_SKYLINE: sdR-r2-00034754.fit: Airmass range = 1.18 1.22 QAPLOT_SKYLINE: sdR-r2-00034754.fit: Flux dispersion for skyline 7343.0 = 6.18 % QAPLOT_SKYLINE: sdR-r2-00034754.fit: Airmass range = 1.18 1.22 QAPLOT_SKYLINE: sdR-r2-00034754.fit: Flux dispersion for skyline 8888.3 = 2.21 % SPADD_GUIDERINFO: sdR-r2-00034754.fit: Number of guider frames = 11 SPREDUCE: sdR-r2-00034754.fit: Elapsed time = 223. seconds SPREDUCE: sdR-r2-00034755.fit: Reading object sdR-r2-00034755.fit MRDFITS: Image array (2128,2069) Type=Int*2 FINDOPFILE: sdR-r2-00034755.fit: Selecting op file opConfig-50000.par FINDOPFILE: sdR-r2-00034755.fit: Selecting op file opBC-51813.par SDSSPROC: sdR-r2-00034755.fit: Measured read-noise in DN for amp# 2 = 4.69111 SDSSPROC: sdR-r2-00034755.fit: Measured bias value in DN for amp# 2 = 469.958 SDSSPROC: sdR-r2-00034755.fit: Applying gain for amp# 2 = 1.05000 SDSSPROC: sdR-r2-00034755.fit: Amp #2 Number of pix below bias-5*sigma= 448. DN is 0 SDSSPROC: sdR-r2-00034755.fit: Measured read-noise in DN for amp# 3 = 3.77346 SDSSPROC: sdR-r2-00034755.fit: Measured bias value in DN for amp# 3 = 1320.42 SDSSPROC: sdR-r2-00034755.fit: Applying gain for amp# 3 = 1.05000 SDSSPROC: sdR-r2-00034755.fit: Amp #3 Number of pix below bias-5*sigma= 1300. DN is 0 SDSSPROC: sdR-r2-00034755.fit: Number of bleading columns = 1 SDSSPROC: sdR-r2-00034755.fit: Number of saturated rows = 0 FINDOPFILE: sdR-r2-00034755.fit: Selecting op file pixbiasave-00001-r2.fits SDSSPROC: sdR-r2-00034755.fit: Correcting with bias image pixbiasave-00001-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 FINDOPFILE: sdR-r2-00034755.fit: Selecting op file pixflatave-53678-r2.fits SDSSPROC: sdR-r2-00034755.fit: Correcting with pixel flat pixflatave-53678-r2.fits MRDFITS: Image array (2048,2048) Type=Real*4 REJECT_SCIENCE: sdR-r2-00034755.fit: Science 25-th-percentile = 930.713 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EXTRACT_OBJECT: sdR-r2-00034755.fit: Whopping fibers: 5 12 14 23 27 32 34 64 66 70 76 86 96 102 105 112 130 132 142 144 149 154 157 197 207 209 226 275 303 316 EXTRACT_OBJECT: sdR-r2-00034755.fit: Median counts in all fibers = 18732.5 EXTRACT_OBJECT: sdR-r2-00034755.fit: Number of bright fibers = 30 EXTRACT_OBJECT: sdR-r2-00034755.fit: Sky fiber median 1332.66 EXTRACT_OBJECT: sdR-r2-00034755.fit: 5% and 95% count levels 1310.15 33754.5 EXTRACT_OBJECT: sdR-r2-00034755.fit: WARNING: Disable whopping terms sdR-r2-00034755.fit MATCH_TRACE: sdR-r2-00034755.fit: Iteration: 0 Pixels Rejected: 30873 Finished? 0 MATCH_TRACE: sdR-r2-00034755.fit: Iteration: 1 Pixels Rejected: 576 Finished? 0 MATCH_TRACE: sdR-r2-00034755.fit: Iteration: 2 Pixels Rejected: 54 Finished? 0 MATCH_TRACE: sdR-r2-00034755.fit: Iteration: 3 Pixels Rejected: 5 Finished? 0 MATCH_TRACE: sdR-r2-00034755.fit: Iteration: 4 Pixels Rejected: 1 Finished? 0 MATCH_TRACE: sdR-r2-00034755.fit: Iteration: 5 Pixels Rejected: 0 Finished? 1 MATCH_TRACE: sdR-r2-00034755.fit: Warning: Large number of pixels rejected! 31509 EXTRACT_OBJECT: sdR-r2-00034755.fit: Shifting traces by match_trace -0.00317383 EXTRACT_OBJECT: sdR-r2-00034755.fit: Extracting frame sdR-r2-00034755.fit with 4 step process EXTRACT_OBJECT: sdR-r2-00034755.fit: Step 1: Initial Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 2 0.91 5.94 .0004 2 0.91 6.44 .0005 1 0.91 5.42 .0006 1 0.91 5.55 .0007 1 0.91 5.65 .0008 1 0.91 5.82 .0009 2 0.91 5.86 .0010 1 0.91 6.09 .0011 1 0.91 5.93 .0012 2 0.91 6.63 .0013 1 0.91 6.20 .0014 2 0.91 6.27 .0015 1 0.91 6.36 .0016 1 0.91 6.03 .0017 1 0.91 6.13 .0018 1 0.91 6.56 .0019 1 0.91 6.58 .0020 1 0.91 6.83 .0021 1 0.91 6.65 .0022 1 0.91 6.80 .0023 1 0.91 6.47 .0024 1 0.91 6.79 .0025 1 0.91 6.97 .0026 2 0.91 7.03 .0027 1 0.91 7.05 .0028 1 0.91 6.94 .0029 1 0.91 7.12 .0030 1 0.91 7.04 .0031 1 0.91 7.43 .0032 1 0.91 7.23 .0033 1 0.91 7.09 .0034 1 0.91 7.32 .0035 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1 0.90 12.65 .0726 1 0.90 12.47 .0727 2 0.90 13.15 .0728 2 0.90 12.24 .0729 1 0.90 12.44 .0730 1 0.90 12.19 .0731 1 0.90 12.34 .0732 1 0.90 12.80 .0733 1 0.90 12.07 .0734 1 0.90 12.32 .0735 1 0.90 12.74 .0736 1 0.90 12.56 .0737 3 0.90 12.07 .0738 2 0.90 12.50 .0739 2 0.90 12.86 .0740 2 0.90 12.61 .0741 3 0.90 12.30 .0742 2 0.90 12.70 .0743 2 0.90 12.40 .0744 1 0.90 12.15 .0745 1 0.90 12.09 .0746 2 0.90 12.09 .0747 2 0.90 12.56 .0748 1 0.90 12.81 .0749 2 0.90 12.22 .0750 1 0.90 12.64 .0751 2 0.90 12.48 .0752 2 0.90 13.73 .0753 3 0.90 12.49 .0754 2 0.90 12.14 .0755 1 0.90 12.53 .0756 2 0.90 12.65 .0757 1 0.90 13.44 .0758 1 0.90 13.18 .0759 1 0.90 12.71 .0760 1 0.90 12.88 .0761 1 0.90 12.68 .0762 1 0.90 11.76 .0763 1 0.90 12.68 .0764 2 0.90 13.25 .0765 1 0.90 11.94 .0766 1 0.90 12.26 .0767 1 0.90 12.02 .0768 1 0.90 12.37 .0769 2 0.90 12.20 .0770 1 0.90 13.00 .0771 1 0.90 12.23 .0772 1 0.90 12.96 .0773 1 0.90 12.56 .0774 2 0.90 12.95 .0775 2 0.90 12.16 .0776 1 0.90 12.64 .0777 1 0.90 12.54 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0.95 5.72 .1764 2 0.95 5.59 .1765 2 0.95 5.91 .1766 3 0.95 5.53 .1767 3 0.95 5.59 .1768 3 0.95 5.54 .1769 2 0.95 5.54 .1770 3 0.95 5.64 .1771 3 0.95 5.52 .1772 1 0.95 5.56 .1773 1 0.95 5.30 .1774 2 0.95 5.50 .1775 1 0.95 5.34 .1776 2 0.95 5.74 .1777 1 0.95 5.64 .1778 1 0.95 5.53 .1779 2 0.95 5.74 .1780 2 0.95 5.56 .1781 2 0.95 5.29 .1782 2 0.95 5.51 .1783 1 0.95 6.17 .1784 2 0.95 5.37 .1785 1 0.95 5.96 .1786 1 0.95 5.57 .1787 1 0.95 5.38 .1788 1 0.95 5.68 .1789 1 0.95 5.79 .1790 1 0.95 5.65 .1791 1 0.95 5.76 .1792 1 0.95 5.57 .1793 2 0.95 5.84 .1794 2 0.95 6.01 .1795 2 0.95 5.76 .1796 1 0.95 5.63 .1797 1 0.95 5.61 .1798 1 0.95 5.82 .1799 2 0.95 5.74 .1800 2 0.95 5.62 .1801 1 0.95 5.80 .1802 1 0.95 5.68 .1803 2 0.95 5.95 .1804 2 0.95 5.89 .1805 1 0.95 6.03 .1806 2 0.95 5.72 .1807 3 0.95 5.93 .1808 2 0.95 6.08 .1809 3 0.95 5.61 .1810 3 0.95 5.78 .1811 2 0.95 6.05 .1812 2 0.95 6.24 .1813 1 0.95 6.01 .1814 1 0.95 6.06 .1815 2 0.95 6.24 .1816 3 0.95 6.00 .1817 1 0.95 5.97 .1818 1 0.95 5.66 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0.95 6.10 .1875 3 0.95 6.02 .1876 1 0.95 5.91 .1877 1 0.95 5.98 .1878 1 0.95 6.39 .1879 2 0.95 6.02 .1880 1 0.95 5.99 .1881 1 0.95 6.03 .1882 1 0.95 5.93 .1883 1 0.95 6.02 .1884 2 0.95 5.74 .1885 1 0.95 5.79 .1886 1 0.95 6.03 .1887 2 0.95 5.81 .1888 2 0.95 5.90 .1889 2 0.95 5.69 .1890 1 0.95 6.07 .1891 1 0.95 5.81 .1892 2 0.95 5.83 .1893 2 0.95 5.73 .1894 1 0.95 5.73 .1895 1 0.95 6.03 .1896 3 0.95 6.35 .1897 2 0.95 6.38 .1898 2 0.95 5.88 .1899 1 0.95 6.30 .1900 1 0.95 5.86 .1901 3 0.95 5.76 .1902 2 0.95 5.35 .1903 1 0.95 5.46 .1904 1 0.95 5.74 .1905 1 0.95 5.22 .1906 1 0.95 5.07 .1907 1 0.95 5.36 .1908 3 0.95 5.29 .1909 2 0.95 5.73 .1910 1 0.95 5.28 .1911 1 0.95 5.17 .1912 1 0.95 5.10 .1913 1 0.95 4.92 .1914 2 0.95 5.32 .1915 2 0.95 4.98 .1916 2 0.95 4.87 .1917 2 0.95 4.94 .1918 2 0.95 4.73 .1919 1 0.95 4.86 .1920 2 0.95 4.92 .1921 2 0.95 4.85 .1922 2 0.95 4.78 .1923 2 0.95 4.95 .1924 1 0.95 5.25 .1925 2 0.95 5.19 .1926 1 0.95 4.73 .1927 1 0.95 5.18 .1928 2 0.95 4.88 .1929 1 0.95 5.03 .1930 1 0.95 5.01 .1931 1 0.95 5.05 .1932 1 0.95 5.23 .1933 3 0.95 5.11 .1934 3 0.95 5.57 .1935 3 0.95 5.57 .1936 2 0.95 5.89 .1937 2 0.95 5.53 .1938 2 0.95 5.33 .1939 1 0.95 5.75 .1940 3 0.95 5.12 .1941 1 0.95 5.10 .1942 1 0.95 5.29 .1943 2 0.95 5.38 .1944 2 0.95 5.36 .1945 1 0.95 5.97 .1946 1 0.95 5.72 .1947 1 0.95 5.35 .1948 1 0.95 5.32 .1949 1 0.95 5.10 .1950 1 0.95 5.23 .1951 1 0.95 5.26 .1952 1 0.95 5.15 .1953 1 0.95 5.23 .1954 3 0.95 5.36 .1955 2 0.95 5.31 .1956 1 0.95 5.33 .1957 1 0.95 5.05 .1958 2 0.95 4.87 .1959 1 0.95 5.23 .1960 2 0.95 5.26 .1961 1 0.95 5.45 .1962 2 0.95 5.11 .1963 2 0.95 5.24 .1964 2 0.95 5.09 .1965 1 0.95 5.09 .1966 2 0.95 5.17 .1967 2 0.95 5.13 .1968 1 0.95 5.20 .1969 2 0.95 5.33 .1970 2 0.95 5.35 .1971 1 0.95 5.50 .1972 1 0.95 5.50 .1973 1 0.95 4.87 .1974 1 0.95 5.10 .1975 2 0.95 5.45 .1976 1 0.95 5.18 .1977 1 0.95 5.27 .1978 1 0.95 5.89 .1979 1 0.95 5.18 .1980 1 0.95 5.17 .1981 2 0.95 5.13 .1982 2 0.95 5.00 .1983 2 0.95 5.19 .1984 1 0.95 5.14 .1985 1 0.95 5.17 .1986 1 0.95 5.21 .1987 1 0.95 4.92 .1988 2 0.95 5.12 .1989 1 0.95 5.08 .1990 2 0.95 5.05 .1991 2 0.95 4.77 .1992 1 0.95 4.77 .1993 1 0.95 4.77 .1994 2 0.95 5.10 .1995 1 0.95 4.92 .1996 1 0.95 4.81 .1997 2 0.95 4.71 .1998 1 0.95 4.85 .1999 1 0.95 5.06 .2000 3 0.95 4.98 .2001 2 0.95 4.81 .2002 3 0.95 4.71 .2003 3 0.95 4.87 .2004 1 0.95 4.60 .2005 1 0.95 4.88 .2006 3 0.95 4.91 .2007 3 0.95 5.58 .2008 2 0.95 4.83 .2009 2 0.95 4.58 .2010 1 0.95 5.09 .2011 2 0.95 4.90 .2012 1 0.95 4.91 .2013 1 0.95 4.91 .2014 1 0.95 4.78 .2015 1 0.95 5.04 .2016 2 0.95 4.86 .2017 1 0.95 5.07 .2018 2 0.95 5.07 .2019 1 0.95 4.89 .2020 1 0.95 4.81 .2021 3 0.95 5.23 .2022 1 0.95 4.82 .2023 1 0.95 4.70 .2024 1 0.95 4.84 .2025 1 0.95 4.83 .2026 1 0.95 4.74 .2027 1 0.95 4.72 .2028 2 0.95 5.22 .2029 2 0.95 5.04 .2030 4 0.95 4.71 .2031 1 0.95 4.47 .2032 1 0.95 4.57 .2033 1 0.95 4.58 .2034 2 0.95 4.27 .2035 1 0.95 4.71 .2036 2 0.95 4.22 .2037 1 0.95 4.13 .2038 1 0.95 4.13 .2039 3 0.95 4.18 .2040 2 0.95 4.28 .2041 2 0.95 4.26 .2042 1 0.95 4.07 .2043 1 0.95 4.33 .2044 3 0.95 4.02 .2045 1 0.95 4.26 .2046 1 0.95 4.05 .2047 2 0.95 4.33 EXTRACT_IMAGE: sdR-r2-00034755.fit: masked 1272 pixels EXTRACT_OBJECT: sdR-r2-00034755.fit: Step 2: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034755.fit: WARNING: Scattered light median = 277.666 electrons QAPLOT_SCATLIGHT: sdR-r2-00034755.fit: WARNING: Scattered light max = 535.912 electrons EXTRACT_OBJECT: sdR-r2-00034755.fit: Step 3: Calculate halo image DOSCATTER: sdR-r2-00034755.fit: Looking for scattering file in /u/dss/spectro/103/idlspec2d/v5_3/examples/ FINDOPFILE: sdR-r2-00034755.fit: Selecting op file scattering-r2-00000.fits MRDFITS: Image array (2) Type=Real*4 DOSCATTER: sdR-r2-00034755.fit: adding rows: 64 Step 4 of 2112 0.58 96 0.02 0.16 Step 12 of 2112 0.58 96 0.02 0.16 Step 20 of 2112 0.58 96 0.02 0.16 Step 28 of 2112 0.59 96 0.02 0.15 Step 36 of 2112 0.59 96 0.02 0.15 Step 44 of 2112 0.59 96 0.02 0.14 Step 52 of 2112 0.59 96 0.03 0.16 Step 60 of 2112 0.59 96 0.02 0.14 Step 68 of 2112 0.59 96 0.02 0.15 Step 76 of 2112 0.59 96 0.02 0.15 Step 84 of 2112 0.59 96 0.02 0.14 Step 92 of 2112 0.59 96 0.02 0.14 Step 100 of 2112 0.60 96 0.02 0.15 Step 108 of 2112 0.60 96 0.02 0.15 Step 116 of 2112 0.60 96 0.02 0.15 Step 124 of 2112 0.60 96 0.02 0.15 Step 132 of 2112 0.60 96 0.02 0.14 Step 140 of 2112 0.60 96 0.02 0.15 Step 148 of 2112 0.60 96 0.01 0.15 Step 156 of 2112 0.60 96 0.01 0.15 Step 164 of 2112 0.61 96 0.02 0.15 Step 172 of 2112 0.61 96 0.02 0.15 Step 180 of 2112 0.61 96 0.02 0.15 Step 188 of 2112 0.61 96 0.02 0.14 Step 196 of 2112 0.61 96 0.02 0.14 Step 204 of 2112 0.61 96 0.02 0.14 Step 212 of 2112 0.61 96 0.02 0.16 Step 220 of 2112 0.61 96 0.02 0.14 Step 228 of 2112 0.62 96 0.02 0.14 Step 236 of 2112 0.62 96 0.02 0.14 Step 244 of 2112 0.62 96 0.02 0.14 Step 252 of 2112 0.62 96 0.02 0.15 Step 260 of 2112 0.62 96 0.02 0.15 Step 268 of 2112 0.62 96 0.02 0.15 Step 276 of 2112 0.62 96 0.03 0.16 Step 284 of 2112 0.62 96 0.02 0.15 Step 292 of 2112 0.63 96 0.02 0.14 Step 300 of 2112 0.63 96 0.02 0.14 Step 308 of 2112 0.63 96 0.02 0.15 Step 316 of 2112 0.63 96 0.02 0.15 Step 324 of 2112 0.63 96 0.02 0.15 Step 332 of 2112 0.63 96 0.02 0.15 Step 340 of 2112 0.63 96 0.02 0.15 Step 348 of 2112 0.63 96 0.02 0.15 Step 356 of 2112 0.63 96 0.02 0.15 Step 364 of 2112 0.64 96 0.02 0.15 Step 372 of 2112 0.64 96 0.02 0.16 Step 380 of 2112 0.64 96 0.02 0.14 Step 388 of 2112 0.64 96 0.02 0.15 Step 396 of 2112 0.64 96 0.02 0.15 Step 404 of 2112 0.64 96 0.02 0.15 Step 412 of 2112 0.64 96 0.02 0.14 Step 420 of 2112 0.64 96 0.02 0.15 Step 428 of 2112 0.65 96 0.02 0.16 Step 436 of 2112 0.65 96 0.02 0.15 Step 444 of 2112 0.65 96 0.02 0.15 Step 452 of 2112 0.65 96 0.02 0.15 Step 460 of 2112 0.65 96 0.02 0.15 Step 468 of 2112 0.65 96 0.02 0.15 Step 476 of 2112 0.65 96 0.02 0.14 Step 484 of 2112 0.65 96 0.02 0.15 Step 492 of 2112 0.66 96 0.02 0.14 Step 500 of 2112 0.66 96 0.02 0.15 Step 508 of 2112 0.66 96 0.02 0.14 Step 516 of 2112 0.66 96 0.02 0.16 Step 524 of 2112 0.66 96 0.02 0.14 Step 532 of 2112 0.66 96 0.02 0.14 Step 540 of 2112 0.66 96 0.02 0.15 Step 548 of 2112 0.67 96 0.02 0.14 Step 556 of 2112 0.67 96 0.02 0.15 Step 564 of 2112 0.67 96 0.02 0.16 Step 572 of 2112 0.67 96 0.02 0.14 Step 580 of 2112 0.67 96 0.02 0.14 Step 588 of 2112 0.67 96 0.02 0.16 Step 596 of 2112 0.67 96 0.02 0.16 Step 604 of 2112 0.67 96 0.02 0.14 Step 612 of 2112 0.68 96 0.02 0.15 Step 620 of 2112 0.68 96 0.02 0.15 Step 628 of 2112 0.68 96 0.02 0.15 Step 636 of 2112 0.68 96 0.02 0.15 Step 644 of 2112 0.68 128 0.03 0.21 Step 652 of 2112 0.68 128 0.02 0.21 Step 660 of 2112 0.68 128 0.03 0.20 Step 668 of 2112 0.68 128 0.02 0.20 Step 676 of 2112 0.69 128 0.02 0.19 Step 684 of 2112 0.69 128 0.03 0.21 Step 692 of 2112 0.69 128 0.02 0.21 Step 700 of 2112 0.69 128 0.02 0.20 Step 708 of 2112 0.69 128 0.03 0.20 Step 716 of 2112 0.69 128 0.02 0.20 Step 724 of 2112 0.69 128 0.03 0.19 Step 732 of 2112 0.69 128 0.02 0.19 Step 740 of 2112 0.70 128 0.02 0.19 Step 748 of 2112 0.70 128 0.02 0.19 Step 756 of 2112 0.70 128 0.02 0.20 Step 764 of 2112 0.70 128 0.02 0.20 Step 772 of 2112 0.70 128 0.02 0.20 Step 780 of 2112 0.70 128 0.03 0.20 Step 788 of 2112 0.70 128 0.02 0.19 Step 796 of 2112 0.71 128 0.03 0.21 Step 804 of 2112 0.71 128 0.02 0.20 Step 812 of 2112 0.71 128 0.02 0.21 Step 820 of 2112 0.71 128 0.02 0.20 Step 828 of 2112 0.71 128 0.02 0.21 Step 836 of 2112 0.71 128 0.01 0.20 Step 844 of 2112 0.71 128 0.04 0.20 Step 852 of 2112 0.71 128 0.03 0.19 Step 860 of 2112 0.72 128 0.03 0.18 Step 868 of 2112 0.72 128 0.03 0.19 Step 876 of 2112 0.72 128 0.03 0.21 Step 884 of 2112 0.72 128 0.04 0.21 Step 892 of 2112 0.72 128 0.03 0.20 Step 900 of 2112 0.72 128 0.04 0.23 Step 908 of 2112 0.72 128 0.05 0.24 Step 916 of 2112 0.73 128 0.04 0.22 Step 924 of 2112 0.73 128 0.03 0.24 Step 932 of 2112 0.73 128 0.04 0.21 Step 940 of 2112 0.73 128 0.03 0.21 Step 948 of 2112 0.73 128 0.02 0.20 Step 956 of 2112 0.73 128 0.03 0.21 Step 964 of 2112 0.73 128 0.03 0.20 Step 972 of 2112 0.73 128 0.03 0.21 Step 980 of 2112 0.74 128 0.03 0.21 Step 988 of 2112 0.74 128 0.03 0.22 Step 996 of 2112 0.74 128 0.02 0.22 Step 1004 of 2112 0.74 128 0.03 0.21 Step 1012 of 2112 0.74 128 0.03 0.21 Step 1020 of 2112 0.74 128 0.02 0.20 Step 1028 of 2112 0.74 128 0.02 0.20 Step 1036 of 2112 0.75 128 0.02 0.21 Step 1044 of 2112 0.75 128 0.02 0.20 Step 1052 of 2112 0.75 128 0.02 0.19 Step 1060 of 2112 0.75 128 0.03 0.21 Step 1068 of 2112 0.75 128 0.02 0.21 Step 1076 of 2112 0.75 128 0.04 0.22 Step 1084 of 2112 0.75 128 0.03 0.20 Step 1092 of 2112 0.75 160 0.03 0.32 Step 1100 of 2112 0.76 160 0.03 0.33 Step 1108 of 2112 0.76 160 0.03 0.32 Step 1116 of 2112 0.76 160 0.04 0.33 Step 1124 of 2112 0.76 160 0.04 0.32 Step 1132 of 2112 0.76 160 0.04 0.36 Step 1140 of 2112 0.76 160 0.03 0.33 Step 1148 of 2112 0.76 160 0.03 0.32 Step 1156 of 2112 0.77 160 0.03 0.33 Step 1164 of 2112 0.77 160 0.03 0.33 Step 1172 of 2112 0.77 160 0.03 0.33 Step 1180 of 2112 0.77 160 0.04 0.33 Step 1188 of 2112 0.77 160 0.03 0.32 Step 1196 of 2112 0.77 160 0.03 0.32 Step 1204 of 2112 0.77 160 0.03 0.33 Step 1212 of 2112 0.78 160 0.03 0.33 Step 1220 of 2112 0.78 160 0.03 0.33 Step 1228 of 2112 0.78 160 0.03 0.33 Step 1236 of 2112 0.78 160 0.03 0.33 Step 1244 of 2112 0.78 160 0.03 0.32 Step 1252 of 2112 0.78 160 0.03 0.32 Step 1260 of 2112 0.78 160 0.03 0.33 Step 1268 of 2112 0.78 160 0.03 0.33 Step 1276 of 2112 0.79 160 0.03 0.34 Step 1284 of 2112 0.79 160 0.03 0.33 Step 1292 of 2112 0.79 160 0.03 0.34 Step 1300 of 2112 0.79 160 0.03 0.34 Step 1308 of 2112 0.79 160 0.03 0.35 Step 1316 of 2112 0.79 160 0.03 0.35 Step 1324 of 2112 0.79 160 0.03 0.32 Step 1332 of 2112 0.80 160 0.03 0.32 Step 1340 of 2112 0.80 160 0.03 0.32 Step 1348 of 2112 0.80 160 0.03 0.32 Step 1356 of 2112 0.80 160 0.03 0.32 Step 1364 of 2112 0.80 160 0.03 0.33 Step 1372 of 2112 0.80 160 0.03 0.32 Step 1380 of 2112 0.80 160 0.03 0.33 Step 1388 of 2112 0.81 160 0.03 0.32 Step 1396 of 2112 0.81 160 0.03 0.32 Step 1404 of 2112 0.81 160 0.03 0.34 Step 1412 of 2112 0.81 160 0.03 0.34 Step 1420 of 2112 0.81 160 0.03 0.33 Step 1428 of 2112 0.81 160 0.03 0.33 Step 1436 of 2112 0.81 160 0.03 0.33 Step 1444 of 2112 0.82 160 0.03 0.33 Step 1452 of 2112 0.82 192 0.03 0.37 Step 1460 of 2112 0.82 192 0.03 0.37 Step 1468 of 2112 0.82 192 0.04 0.37 Step 1476 of 2112 0.82 192 0.04 0.38 Step 1484 of 2112 0.82 192 0.04 0.40 Step 1492 of 2112 0.82 192 0.03 0.37 Step 1500 of 2112 0.83 192 0.04 0.37 Step 1508 of 2112 0.83 192 0.04 0.37 Step 1516 of 2112 0.83 192 0.04 0.36 Step 1524 of 2112 0.83 192 0.03 0.36 Step 1532 of 2112 0.83 192 0.03 0.36 Step 1540 of 2112 0.83 192 0.03 0.36 Step 1548 of 2112 0.83 192 0.03 0.36 Step 1556 of 2112 0.83 192 0.03 0.36 Step 1564 of 2112 0.84 192 0.03 0.36 Step 1572 of 2112 0.84 192 0.03 0.37 Step 1580 of 2112 0.84 192 0.03 0.38 Step 1588 of 2112 0.84 192 0.02 0.38 Step 1596 of 2112 0.84 192 0.02 0.39 Step 1604 of 2112 0.84 192 0.04 0.40 Step 1612 of 2112 0.84 192 0.04 0.43 Step 1620 of 2112 0.85 192 0.02 0.38 Step 1628 of 2112 0.85 192 0.03 0.38 Step 1636 of 2112 0.85 192 0.02 0.38 Step 1644 of 2112 0.85 192 0.03 0.37 Step 1652 of 2112 0.85 192 0.03 0.35 Step 1660 of 2112 0.85 192 0.03 0.36 Step 1668 of 2112 0.85 192 0.03 0.36 Step 1676 of 2112 0.86 192 0.04 0.35 Step 1684 of 2112 0.86 192 0.04 0.36 Step 1692 of 2112 0.86 192 0.04 0.36 Step 1700 of 2112 0.86 192 0.04 0.36 Step 1708 of 2112 0.86 192 0.04 0.36 Step 1716 of 2112 0.86 192 0.04 0.37 Step 1724 of 2112 0.86 192 0.04 0.40 Step 1732 of 2112 0.87 192 0.03 0.40 Step 1740 of 2112 0.87 224 0.03 0.51 Step 1748 of 2112 0.87 224 0.04 0.52 Step 1756 of 2112 0.87 224 0.03 0.48 Step 1764 of 2112 0.87 224 0.04 0.51 Step 1772 of 2112 0.87 224 0.03 0.50 Step 1780 of 2112 0.87 224 0.03 0.51 Step 1788 of 2112 0.88 224 0.03 0.50 Step 1796 of 2112 0.88 224 0.03 0.49 Step 1804 of 2112 0.88 224 0.03 0.47 Step 1812 of 2112 0.88 224 0.03 0.48 Step 1820 of 2112 0.88 224 0.03 0.50 Step 1828 of 2112 0.88 224 0.04 0.47 Step 1836 of 2112 0.88 224 0.04 0.47 Step 1844 of 2112 0.89 224 0.04 0.49 Step 1852 of 2112 0.89 224 0.04 0.46 Step 1860 of 2112 0.89 224 0.04 0.47 Step 1868 of 2112 0.89 224 0.04 0.46 Step 1876 of 2112 0.89 224 0.04 0.47 Step 1884 of 2112 0.89 224 0.03 0.48 Step 1892 of 2112 0.89 224 0.04 0.46 Step 1900 of 2112 0.90 224 0.04 0.46 Step 1908 of 2112 0.90 224 0.04 0.46 Step 1916 of 2112 0.90 224 0.04 0.46 Step 1924 of 2112 0.90 224 0.04 0.48 Step 1932 of 2112 0.90 224 0.04 0.47 Step 1940 of 2112 0.90 224 0.05 0.47 Step 1948 of 2112 0.90 224 0.04 0.50 Step 1956 of 2112 0.91 224 0.05 0.50 Step 1964 of 2112 0.91 224 0.04 0.51 Step 1972 of 2112 0.91 224 0.05 0.48 Step 1980 of 2112 0.91 224 0.05 0.52 Step 1988 of 2112 0.91 224 0.04 0.48 Step 1996 of 2112 0.91 256 0.05 0.50 Step 2004 of 2112 0.91 256 0.05 0.48 Step 2012 of 2112 0.92 256 0.05 0.49 Step 2020 of 2112 0.92 256 0.06 0.50 Step 2028 of 2112 0.92 256 0.05 0.48 Step 2036 of 2112 0.92 256 0.05 0.48 Step 2044 of 2112 0.92 256 0.05 0.57 Step 2052 of 2112 0.92 256 0.06 0.54 Step 2060 of 2112 0.92 256 0.06 0.53 Step 2068 of 2112 0.93 256 0.05 0.58 Step 2076 of 2112 0.93 256 0.05 0.55 Step 2084 of 2112 0.93 256 0.07 0.57 Step 2092 of 2112 0.93 256 0.05 0.52 Step 2100 of 2112 0.93 256 0.06 0.50 Step 2108 of 2112 0.93 256 0.06 0.54 EXTRACT_OBJECT: sdR-r2-00034755.fit: Step 4: Extracting with halos removed ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 2 0.91 5.80 .0004 2 0.91 6.30 .0005 1 0.91 5.28 .0006 1 0.91 5.39 .0007 1 0.91 5.47 .0008 1 0.91 5.63 .0009 2 0.91 5.66 .0010 1 0.91 5.88 .0011 1 0.91 5.73 .0012 2 0.91 6.42 .0013 1 0.91 5.99 .0014 2 0.91 6.03 .0015 1 0.91 6.12 .0016 1 0.91 5.80 .0017 1 0.91 5.89 .0018 1 0.91 6.30 .0019 1 0.91 6.32 .0020 1 0.91 6.57 .0021 1 0.91 6.39 .0022 1 0.91 6.52 .0023 1 0.91 6.20 .0024 1 0.91 6.51 .0025 1 0.91 6.68 .0026 2 0.91 6.73 .0027 1 0.91 6.75 .0028 1 0.91 6.63 .0029 1 0.91 6.82 .0030 1 0.91 6.72 .0031 1 0.91 7.11 .0032 1 0.91 6.91 .0033 1 0.91 6.76 .0034 1 0.91 6.99 .0035 1 0.91 6.97 .0036 1 0.91 7.00 .0037 1 0.91 7.17 .0038 1 0.91 7.17 .0039 1 0.91 7.23 .0040 1 0.91 7.67 .0041 2 0.91 7.29 .0042 1 0.91 7.62 .0043 1 0.91 7.91 .0044 1 0.91 7.56 .0045 2 0.91 7.09 .0046 2 0.91 6.79 .0047 2 0.91 6.85 .0048 2 0.91 7.05 .0049 2 0.91 6.89 .0050 2 0.91 6.86 .0051 2 0.91 7.59 .0052 2 0.91 6.97 .0053 2 0.91 7.33 .0054 2 0.91 7.42 .0055 2 0.91 6.96 .0056 2 0.91 7.04 .0057 2 0.91 7.19 .0058 2 0.91 7.13 .0059 2 0.91 7.18 .0060 2 0.91 7.03 .0061 2 0.91 7.18 .0062 2 0.91 7.11 .0063 2 0.91 7.53 .0064 2 0.91 7.32 .0065 2 0.91 7.36 .0066 2 0.91 7.64 .0067 2 0.91 7.49 .0068 2 0.91 7.63 .0069 2 0.91 8.00 .0070 3 0.91 7.53 .0071 2 0.91 7.55 .0072 2 0.91 7.65 .0073 3 0.91 7.52 .0074 2 0.91 7.96 .0075 2 0.91 7.63 .0076 2 0.91 7.53 .0077 2 0.91 7.55 .0078 2 0.91 7.80 .0079 3 0.91 7.84 .0080 3 0.91 7.68 .0081 2 0.91 7.78 .0082 2 0.91 7.82 .0083 2 0.91 7.76 .0084 2 0.91 8.10 .0085 2 0.91 8.28 .0086 3 0.91 7.91 .0087 2 0.91 7.82 .0088 2 0.91 8.17 .0089 2 0.91 7.74 .0090 2 0.91 7.84 .0091 2 0.91 7.65 .0092 2 0.91 8.19 .0093 2 0.91 8.24 .0094 2 0.91 7.86 .0095 2 0.91 8.02 .0096 2 0.91 8.22 .0097 2 0.91 8.10 .0098 2 0.91 8.24 .0099 2 0.91 8.17 .0100 2 0.91 8.44 .0101 2 0.91 8.14 .0102 2 0.91 9.35 .0103 3 0.91 8.53 .0104 3 0.91 7.66 .0105 3 0.91 7.98 .0106 3 0.91 7.61 .0107 3 0.91 7.96 .0108 3 0.91 7.98 .0109 3 0.91 7.98 .0110 3 0.91 7.90 .0111 3 0.91 7.82 .0112 3 0.91 8.09 .0113 3 0.91 7.93 .0114 3 0.91 8.41 .0115 3 0.91 7.97 .0116 3 0.91 8.20 .0117 3 0.91 8.80 .0118 3 0.91 8.42 .0119 3 0.91 8.86 .0120 2 0.91 8.32 .0121 2 0.91 8.11 .0122 2 0.91 8.24 .0123 2 0.91 8.35 .0124 2 0.91 7.97 .0125 2 0.91 8.42 .0126 2 0.91 8.31 .0127 2 0.91 8.69 .0128 2 0.91 8.33 .0129 2 0.91 8.24 .0130 2 0.91 8.28 .0131 2 0.91 8.51 .0132 2 0.91 8.38 .0133 2 0.91 8.51 .0134 2 0.91 9.05 .0135 3 0.91 8.95 .0136 2 0.91 8.68 .0137 2 0.91 9.03 .0138 2 0.91 9.10 .0139 2 0.91 9.13 .0140 2 0.91 9.06 .0141 2 0.91 9.15 .0142 2 0.91 9.03 .0143 2 0.91 8.96 .0144 2 0.91 9.43 .0145 2 0.91 9.50 .0146 2 0.91 9.92 .0147 3 0.91 9.35 .0148 3 0.91 10.67 .0149 3 0.91 9.87 .0150 2 0.91 9.85 .0151 2 0.91 10.48 .0152 2 0.91 10.72 .0153 2 0.91 10.16 .0154 2 0.91 10.38 .0155 2 0.91 10.16 .0156 2 0.91 10.58 .0157 2 0.91 10.83 .0158 2 0.91 10.53 .0159 2 0.91 10.82 .0160 2 0.91 11.61 .0161 2 0.91 10.70 .0162 2 0.91 10.86 .0163 2 0.91 10.82 .0164 2 0.91 10.48 .0165 2 0.91 11.08 .0166 3 0.91 11.10 .0167 2 0.91 10.73 .0168 2 0.91 11.38 .0169 2 0.91 11.68 .0170 2 0.91 11.93 .0171 3 0.91 11.44 .0172 2 0.91 11.50 .0173 2 0.91 11.50 .0174 2 0.91 12.02 .0175 2 0.91 11.45 .0176 2 0.91 12.81 .0177 2 0.91 12.12 .0178 2 0.91 11.61 .0179 2 0.91 11.71 .0180 2 0.91 11.84 .0181 2 0.91 12.20 .0182 2 0.91 12.52 .0183 2 0.91 12.19 .0184 2 0.91 11.74 .0185 2 0.91 12.36 .0186 2 0.91 12.09 .0187 2 0.91 12.17 .0188 2 0.91 11.88 .0189 3 0.91 11.87 .0190 2 0.91 13.01 .0191 2 0.91 12.27 .0192 2 0.91 12.37 .0193 2 0.91 11.96 .0194 2 0.91 12.36 .0195 2 0.91 12.47 .0196 2 0.91 12.38 .0197 2 0.91 12.13 .0198 3 0.91 13.66 .0199 5 0.91 13.22 .0200 1 0.91 13.79 .0201 2 0.91 13.99 .0202 2 0.91 12.56 .0203 2 0.91 12.63 .0204 1 0.91 13.20 .0205 1 0.91 12.62 .0206 1 0.91 12.53 .0207 2 0.91 12.97 .0208 1 0.91 12.57 .0209 1 0.91 12.36 .0210 1 0.91 12.53 .0211 1 0.91 11.95 .0212 1 0.91 12.17 .0213 2 0.91 12.19 .0214 2 0.91 12.19 .0215 1 0.91 11.80 .0216 1 0.91 12.05 .0217 2 0.91 11.79 .0218 1 0.91 12.24 .0219 2 0.91 11.73 .0220 1 0.91 12.23 .0221 1 0.91 11.93 .0222 1 0.91 11.55 .0223 1 0.91 11.58 .0224 1 0.91 11.49 .0225 1 0.91 11.60 .0226 1 0.91 12.01 .0227 1 0.91 11.94 .0228 2 0.91 11.94 .0229 2 0.91 11.93 .0230 2 0.91 11.67 .0231 1 0.91 11.36 .0232 1 0.91 11.26 .0233 2 0.91 11.46 .0234 1 0.91 12.01 .0235 1 0.91 11.53 .0236 1 0.91 11.59 .0237 1 0.91 12.37 .0238 1 0.91 11.93 .0239 1 0.91 11.63 .0240 1 0.91 11.76 .0241 1 0.91 11.53 .0242 1 0.91 11.56 .0243 1 0.91 12.02 .0244 1 0.91 11.85 .0245 1 0.91 11.82 .0246 1 0.91 13.10 .0247 1 0.91 11.87 .0248 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3.14 .2047 3 0.95 3.22 EXTRACT_IMAGE: sdR-r2-00034755.fit: masked 1406 pixels EXTRACT_OBJECT: sdR-r2-00034755.fit: Step 4: Find scattered light image QAPLOT_SCATLIGHT: sdR-r2-00034755.fit: WARNING: Scattered light median = 93.5506 electrons QAPLOT_SCATLIGHT: sdR-r2-00034755.fit: WARNING: Scattered light max = 294.683 electrons EXTRACT_OBJECT: sdR-r2-00034755.fit: Step 6: Final Object extraction ROW NITER SIG(med) CHI^2 .0000 0 0.91 0.00 .0001 0 0.91 0.00 .0002 0 0.91 0.00 .0003 2 0.91 9.11 .0004 2 0.91 9.33 .0005 1 0.91 8.64 .0006 1 0.91 8.64 .0007 1 0.91 8.74 .0008 1 0.91 8.75 .0009 2 0.91 8.71 .0010 1 0.91 8.90 .0011 1 0.91 8.78 .0012 3 0.91 9.01 .0013 1 0.91 8.98 .0014 2 0.91 8.93 .0015 1 0.91 9.01 .0016 1 0.91 8.67 .0017 1 0.91 8.71 .0018 1 0.91 9.06 .0019 1 0.91 8.91 .0020 1 0.91 9.33 .0021 1 0.91 9.15 .0022 1 0.91 9.14 .0023 1 0.91 8.95 .0024 1 0.91 8.96 .0025 1 0.91 9.25 .0026 2 0.91 9.27 .0027 1 0.91 9.28 .0028 1 0.91 9.10 .0029 1 0.91 9.34 .0030 1 0.91 9.04 .0031 1 0.91 9.57 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0.94 4.77 .1659 3 0.94 5.09 .1660 1 0.94 5.01 .1661 2 0.94 5.26 .1662 1 0.94 5.11 .1663 2 0.94 5.02 .1664 2 0.94 5.12 .1665 3 0.94 4.98 .1666 2 0.94 5.12 .1667 1 0.94 4.75 .1668 1 0.94 4.84 .1669 1 0.94 4.61 .1670 1 0.95 4.92 .1671 1 0.95 4.86 .1672 1 0.95 5.00 .1673 1 0.95 4.96 .1674 1 0.95 4.87 .1675 1 0.95 5.14 .1676 1 0.95 4.82 .1677 3 0.95 5.17 .1678 3 0.95 5.05 .1679 1 0.95 5.04 .1680 1 0.95 4.95 .1681 2 0.95 4.76 .1682 3 0.95 5.05 .1683 2 0.95 4.89 .1684 1 0.95 4.72 .1685 2 0.95 4.69 .1686 1 0.95 4.77 .1687 1 0.95 4.87 .1688 2 0.95 4.78 .1689 2 0.95 4.71 .1690 1 0.95 4.81 .1691 2 0.95 4.68 .1692 1 0.95 4.74 .1693 1 0.95 4.78 .1694 1 0.95 5.04 .1695 2 0.95 4.75 .1696 1 0.95 4.94 .1697 3 0.95 4.72 .1698 3 0.95 4.81 .1699 2 0.95 4.83 .1700 1 0.95 4.60 .1701 1 0.95 4.82 .1702 2 0.95 4.93 .1703 3 0.95 4.98 .1704 3 0.95 5.09 .1705 1 0.95 4.82 .1706 1 0.95 4.97 .1707 2 0.95 4.88 .1708 1 0.95 4.85 .1709 2 0.95 4.90 .1710 1 0.95 4.73 .1711 1 0.95 4.83 .1712 2 0.95 4.85 .1713 2 0.95 4.79 .1714 1 0.95 4.70 .1715 2 0.95 4.79 .1716 3 0.95 4.72 .1717 2 0.95 4.71 .1718 2 0.95 4.62 .1719 3 0.95 4.64 .1720 1 0.95 4.48 .1721 2 0.95 4.50 .1722 1 0.95 4.36 .1723 1 0.95 4.47 .1724 1 0.95 4.44 .1725 1 0.95 4.24 .1726 1 0.95 4.39 .1727 1 0.95 4.48 .1728 2 0.95 4.35 .1729 1 0.95 4.62 .1730 2 0.95 4.48 .1731 2 0.95 4.40 .1732 2 0.95 4.38 .1733 1 0.95 4.36 .1734 2 0.95 4.23 .1735 2 0.95 4.25 .1736 2 0.95 4.27 .1737 1 0.95 4.27 .1738 2 0.95 4.42 .1739 2 0.95 4.55 .1740 2 0.95 4.41 .1741 1 0.95 4.57 .1742 1 0.95 4.54 .1743 1 0.95 4.70 .1744 2 0.95 4.41 .1745 3 0.95 4.38 .1746 3 0.95 4.30 .1747 2 0.95 4.38 .1748 3 0.95 4.55 .1749 1 0.95 4.74 .1750 2 0.95 4.47 .1751 3 0.95 4.49 .1752 1 0.95 4.49 .1753 1 0.95 4.61 .1754 1 0.95 4.46 .1755 2 0.95 4.96 .1756 3 0.95 4.60 .1757 1 0.95 4.72 .1758 2 0.95 4.63 .1759 1 0.95 4.66 .1760 2 0.95 4.57 .1761 2 0.95 4.43 .1762 3 0.95 4.61 .1763 2 0.95 4.51 .1764 2 0.95 4.24 .1765 3 0.95 4.56 .1766 2 0.95 4.41 .1767 3 0.95 4.40 .1768 4 0.95 4.18 .1769 2 0.95 4.46 .1770 3 0.95 4.47 .1771 3 0.95 4.40 .1772 1 0.95 4.36 .1773 1 0.95 4.28 .1774 2 0.95 4.31 .1775 1 0.95 4.23 .1776 2 0.95 4.29 .1777 1 0.95 4.49 .1778 1 0.95 4.36 .1779 3 0.95 4.40 .1780 2 0.95 4.51 .1781 2 0.95 4.28 .1782 2 0.95 4.44 .1783 2 0.95 4.58 .1784 2 0.95 4.30 .1785 2 0.95 4.56 .1786 1 0.95 4.38 .1787 1 0.95 4.25 .1788 1 0.95 4.38 .1789 1 0.95 4.59 .1790 1 0.95 4.47 .1791 1 0.95 4.48 .1792 1 0.95 4.38 .1793 2 0.95 4.57 .1794 2 0.95 4.76 .1795 2 0.95 4.41 .1796 1 0.95 4.41 .1797 1 0.95 4.53 .1798 1 0.95 4.64 .1799 2 0.95 4.51 .1800 2 0.95 4.40 .1801 1 0.95 4.59 .1802 1 0.95 4.48 .1803 2 0.95 4.51 .1804 3 0.95 4.46 .1805 1 0.95 4.67 .1806 2 0.95 4.58 .1807 3 0.95 4.54 .1808 3 0.95 4.65 .1809 3 0.95 4.35 .1810 3 0.95 4.56 .1811 2 0.95 4.70 .1812 2 0.95 4.80 .1813 2 0.95 4.50 .1814 1 0.95 4.74 .1815 3 0.95 4.60 .1816 4 0.95 4.48 .1817 2 0.95 4.36 .1818 1 0.95 4.36 .1819 1 0.95 4.52 .1820 3 0.95 4.66 .1821 2 0.95 4.71 .1822 2 0.95 4.55 .1823 3 0.95 4.43 .1824 1 0.95 4.40 .1825 1 0.95 4.40 .1826 1 0.95 4.50 .1827 2 0.95 4.52 .1828 2 0.95 4.73 .1829 2 0.95 4.54 .1830 1 0.95 4.43 .1831 1 0.95 4.24 .1832 1 0.95 4.24 .1833 1 0.95 4.57 .1834 2 0.95 4.34 .1835 1 0.95 4.28 .1836 1 0.95 4.11 .1837 1 0.95 4.31 .1838 2 0.95 4.54 .1839 2 0.95 4.37 .1840 3 0.95 4.54 .1841 2 0.95 4.38 .1842 2 0.95 4.38 .1843 1 0.95 4.56 .1844 1 0.95 4.60 .1845 1 0.95 4.41 .1846 3 0.95 4.29 .1847 1 0.95 4.39 .1848 1 0.95 4.51 .1849 2 0.95 4.44 .1850 2 0.95 4.42 .1851 1 0.95 4.55 .1852 1 0.95 4.42 .1853 1 0.95 4.61 .1854 1 0.95 4.49 .1855 1 0.95 4.50 .1856 1 0.95 4.73 .1857 3 0.95 4.53 .1858 3 0.95 4.51 .1859 2 0.95 4.60 .1860 2 0.95 4.63 .1861 1 0.95 4.86 .1862 1 0.95 4.97 .1863 1 0.95 4.83 .1864 1 0.95 4.68 .1865 2 0.95 4.75 .1866 3 0.95 4.73 .1867 1 0.95 4.68 .1868 1 0.95 4.53 .1869 2 0.95 4.73 .1870 2 0.95 4.75 .1871 4 0.95 5.19 .1872 2 0.95 4.72 .1873 1 0.95 4.84 .1874 1 0.95 4.77 .1875 4 0.95 4.51 .1876 1 0.95 4.72 .1877 1 0.95 4.54 .1878 2 0.95 4.79 .1879 2 0.95 4.72 .1880 1 0.95 4.84 .1881 1 0.95 4.73 .1882 1 0.95 4.60 .1883 1 0.95 4.53 .1884 2 0.95 4.42 .1885 1 0.95 4.44 .1886 1 0.95 4.54 .1887 2 0.95 4.48 .1888 2 0.95 4.47 .1889 2 0.95 4.40 .1890 1 0.95 4.60 .1891 1 0.95 4.58 .1892 2 0.95 4.48 .1893 2 0.95 4.46 .1894 1 0.95 4.51 .1895 2 0.95 4.45 .1896 4 0.95 4.52 .1897 3 0.95 4.74 .1898 2 0.95 4.55 .1899 3 0.95 4.07 .1900 1 0.95 4.54 .1901 3 0.95 4.50 .1902 2 0.95 4.21 .1903 1 0.95 4.24 .1904 2 0.95 4.24 .1905 1 0.95 4.00 .1906 1 0.95 3.97 .1907 1 0.95 4.30 .1908 2 0.95 4.20 .1909 2 0.95 4.27 .1910 1 0.95 4.06 .1911 2 0.95 3.99 .1912 2 0.95 3.97 .1913 1 0.95 3.92 .1914 2 0.95 4.15 .1915 2 0.95 3.98 .1916 2 0.95 3.79 .1917 2 0.95 3.98 .1918 2 0.95 3.75 .1919 1 0.95 3.90 .1920 2 0.95 3.89 .1921 2 0.95 3.81 .1922 2 0.95 3.74 .1923 3 0.95 3.88 .1924 2 0.95 4.00 .1925 2 0.95 4.00 .1926 1 0.95 3.89 .1927 1 0.95 4.18 .1928 2 0.95 3.91 .1929 1 0.95 3.98 .1930 1 0.95 4.13 .1931 1 0.95 4.30 .1932 2 0.95 4.09 .1933 3 0.95 4.19 .1934 3 0.95 4.11 .1935 3 0.95 4.29 .1936 3 0.95 4.41 .1937 2 0.95 4.27 .1938 2 0.95 4.24 .1939 2 0.95 4.33 .1940 3 0.95 4.04 .1941 2 0.95 4.05 .1942 2 0.95 4.19 .1943 2 0.95 4.18 .1944 3 0.95 4.10 .1945 2 0.95 4.68 .1946 3 0.95 4.40 .1947 1 0.95 4.24 .1948 1 0.95 4.09 .1949 1 0.95 4.02 .1950 1 0.95 4.13 .1951 1 0.95 4.12 .1952 1 0.95 4.05 .1953 1 0.95 4.22 .1954 3 0.95 4.14 .1955 2 0.95 4.23 .1956 2 0.95 3.97 .1957 1 0.95 4.14 .1958 2 0.95 3.89 .1959 1 0.95 4.17 .1960 3 0.95 4.02 .1961 1 0.95 4.37 .1962 2 0.95 3.99 .1963 3 0.95 3.98 .1964 2 0.95 4.06 .1965 1 0.95 3.97 .1966 2 0.95 4.09 .1967 2 0.95 4.09 .1968 2 0.95 4.02 .1969 2 0.95 4.13 .1970 3 0.95 4.06 .1971 1 0.95 4.27 .1972 2 0.95 4.11 .1973 1 0.95 3.93 .1974 1 0.95 4.04 .1975 2 0.95 4.27 .1976 1 0.95 3.98 .1977 1 0.95 4.12 .1978 2 0.95 4.41 .1979 1 0.95 4.03 .1980 1 0.95 4.07 .1981 2 0.95 4.02 .1982 2 0.95 3.88 .1983 2 0.95 3.98 .1984 2 0.95 3.98 .1985 1 0.95 4.03 .1986 1 0.95 4.25 .1987 1 0.95 3.86 .1988 2 0.95 4.00 .1989 1 0.95 4.06 .1990 3 0.95 3.83 .1991 2 0.95 3.77 .1992 1 0.95 3.80 .1993 1 0.95 3.73 .1994 3 0.95 3.86 .1995 2 0.95 3.84 .1996 2 0.95 3.69 .1997 2 0.95 3.69 .1998 2 0.95 3.74 .1999 4 0.95 3.87 .2000 3 0.95 3.75 .2001 2 0.95 3.75 .2002 4 0.95 3.74 .2003 3 0.95 3.85 .2004 1 0.95 3.75 .2005 2 0.95 3.86 .2006 4 0.95 3.83 .2007 4 0.95 3.89 .2008 2 0.95 3.80 .2009 2 0.95 3.69 .2010 1 0.95 3.94 .2011 2 0.95 3.89 .2012 2 0.95 3.79 .2013 1 0.95 3.85 .2014 1 0.95 3.77 .2015 2 0.95 3.88 .2016 2 0.95 3.89 .2017 1 0.95 3.98 .2018 2 0.95 3.96 .2019 1 0.95 3.94 .2020 1 0.95 3.80 .2021 3 0.95 3.96 .2022 1 0.95 3.88 .2023 1 0.95 3.79 .2024 2 0.95 3.77 .2025 1 0.95 3.84 .2026 1 0.95 3.82 .2027 1 0.95 3.70 .2028 2 0.95 3.90 .2029 2 0.95 3.78 .2030 5 0.95 3.57 .2031 1 0.95 3.56 .2032 2 0.95 3.60 .2033 2 0.95 3.52 .2034 2 0.95 3.36 .2035 2 0.95 3.50 .2036 2 0.95 3.34 .2037 1 0.95 3.31 .2038 1 0.95 3.34 .2039 3 0.95 3.37 .2040 2 0.95 3.36 .2041 2 0.95 3.33 .2042 1 0.95 3.19 .2043 1 0.95 3.48 .2044 2 0.95 3.16 .2045 2 0.95 3.30 .2046 1 0.95 3.27 .2047 3 0.95 3.26 EXTRACT_IMAGE: sdR-r2-00034755.fit: masked 1998 pixels DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 430 low points in trace 54 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 384 low points in trace 184 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 617 low points in trace 224 DIVIDEFLAT: sdR-r2-00034755.fit: No good flat field points in trace 241 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 2048 low points in trace 241 DIVIDEFLAT: sdR-r2-00034755.fit: No good flat field points in trace 263 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 2048 low points in trace 263 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 606 low points in trace 276 DIVIDEFLAT: sdR-r2-00034755.fit: No good flat field points in trace 292 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 2048 low points in trace 292 DIVIDEFLAT: sdR-r2-00034755.fit: No good flat field points in trace 311 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 2048 low points in trace 311 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 224 low points in trace 318 DIVIDEFLAT: sdR-r2-00034755.fit: Warning: Reject 480 low points in trace 319 LOCATESKYLINES_2: sdR-r2-00034755.fit: Reading sky line file /u/dss/spectro/103/idlspec2d/v5_3/etc/skylines.dat TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034755.fit: sky shift reference line, offset: 7794.1200 -0.032884899 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 0 7.2770404 264.68796 -0.10219180 0.97401607 1798.2636 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 6 6.2444837 -197.41398 -0.0039220834 1.0575315 1713.7700 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 13 5.4037119 -92.397644 -0.075796770 0.98111948 1841.2847 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 18 4.9470914 -127.76560 -0.033067281 0.98718530 1713.9799 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 26 25.396723 204.25678 -0.071503078 0.95365315 1851.5673 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 52 7.2848872 -75.050955 -0.046158764 1.0335699 1707.1974 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 60 9.6849016 6.3981356 -0.042531075 0.95271326 1869.2123 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 63 2.5511385 -76.914736 -0.083961181 1.0172909 1739.4239 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 82 10.744023 -50.118687 -0.072236270 0.95082103 1831.1326 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 84 6.0317438 -156.79266 -0.079898931 0.94304121 1831.8569 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 109 9.2429497 -134.30378 -0.067964056 0.97253414 1752.6369 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 114 8.9271183 -120.63140 -0.032308922 0.95346712 1836.1310 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 131 6.8824200 -13.419568 -0.061748688 0.94971443 1810.4134 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 153 10.907301 284.05796 -0.059211622 0.97327479 1871.1834 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 176 16.403357 300.39280 -0.034205566 0.93710694 1930.1020 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 180 20.612427 270.58918 -0.036109700 0.92673488 1950.9133 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 184 15.395808 282.97646 -0.016755324 1.0249227 1796.8316 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 185 14.059149 233.74125 -0.067748152 0.99526466 1885.2749 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 186 7.7651755 245.02460 -0.060571160 0.97849803 1916.3289 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 201 18.647019 236.50184 -0.063234184 0.95882303 1824.0996 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 204 9.8424451 246.74772 -0.034815775 0.98278670 1845.7548 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 206 13.764313 297.81479 -0.081234554 0.98213748 1771.3161 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 213 14.265764 270.41065 -0.020224642 0.98371059 1863.8956 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 235 13.578662 184.27506 0.032153834 0.95328541 1870.7278 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 257 8.7214585 262.85849 -0.027953234 0.93273001 2030.8012 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 259 12.242979 359.60131 -0.048049771 0.96727100 1897.5416 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 260 10.233630 242.19920 -0.055941371 0.95036543 1805.1564 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 261 9.4832301 310.74217 -0.041503009 0.97167648 1807.2954 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 265 16.549666 279.50145 -0.056140868 0.93418266 1905.0958 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 271 11.160922 251.87193 -0.025965404 0.94136625 1881.1149 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 276 14.180143 209.83417 -0.018837058 0.98982304 1847.9355 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 281 5.8751438 93.972703 -0.073398436 1.0023233 1832.1030 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 284 10.757175 156.45968 -0.073370483 0.94305896 1880.1450 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 307 6.6654069 215.78914 -0.051824974 0.97480219 1782.1277 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 0 308 9.3695420 268.30295 0.0022657089 0.99427947 1824.9603 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 0 6.5971694 0.00020156914 -0.047691753 0.96907322 0.99927492 LOCATESKYLINES_2: sdR-r2-00034755.fit: sigma-clipped to 277 of 315 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034755.fit: comb2 l,chi^2/dof,fit: 0 3.2981522 -0.013991527 -0.045439286 0.99312110 1.0007634 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 277 of 315 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.078324-0.0454390.004396 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 0 3.8467559 169.01009 0.0013455450 1.0262628 597.52027 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 6 1.7763231 -252.32741 0.062862155 1.0573320 510.02798 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 13 1.7862035 -197.09351 -0.030812661 0.84756747 594.48597 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 18 2.6352074 -234.56600 -0.040568412 1.0402511 531.25587 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 26 1.7004745 39.888489 -0.0044591647 0.95133465 568.87432 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 52 1.2891572 -138.95743 0.0071694682 1.0431347 573.33900 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 60 0.80070707 -56.222434 -0.017063679 0.96902528 551.51583 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 63 0.38353960 -146.04197 0.081429087 0.99491359 522.88960 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 82 1.5412433 -131.97605 -0.060728321 1.0186976 515.22045 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 84 1.5070341 -264.33419 -0.0042344621 1.0069046 586.37559 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 109 1.8610138 -184.69395 -0.0079045704 0.89878535 521.85001 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 114 4.0500008 -204.15540 -0.092610258 0.95324128 533.98083 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 131 3.4671512 -92.577192 -0.0020693483 0.99454951 533.60882 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 153 1.5209874 166.12968 -0.030581462 1.0520127 540.56180 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 176 3.9609847 216.66053 0.029538598 0.95493953 546.18760 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 180 7.2645438 218.99513 0.022199586 0.94148914 578.39261 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 184 2.6707877 231.54838 0.083218382 0.99737903 613.48239 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 185 3.4257853 200.76006 -0.019225084 1.0096908 574.42021 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 186 2.5013190 205.31059 -0.013427900 0.94667606 546.22239 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 201 4.3213147 160.64507 0.0025334958 1.0222969 552.56293 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 204 5.2390060 155.94170 0.081771434 1.0212716 566.18420 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 206 2.5465569 191.94253 -0.070196303 0.98008750 576.89388 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 213 4.4931858 177.14049 -0.0039526984 1.0025366 616.92825 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 235 1.8517349 111.83290 0.13116228 0.85508719 599.43726 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 257 5.2408533 207.23447 -0.037698960 0.90873667 569.84392 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 259 4.7230860 324.88844 -0.013891897 0.97808943 532.24952 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 260 4.2501319 154.28331 -0.13858247 0.91909597 546.96979 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 261 1.5466575 224.06585 -0.025122467 0.91282308 569.53727 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 265 3.6735623 200.62794 -0.012937644 1.0306952 531.42843 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 271 1.4319071 196.08826 0.041482523 0.91915605 585.00615 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 276 3.8241270 142.31613 -0.032830190 1.0512208 569.38437 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 281 0.38200565 75.672794 0.0067337577 1.0068525 562.60010 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 284 4.6572642 52.367033 -0.0061743658 0.98815818 578.69615 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 307 2.0865342 133.82674 -0.082325666 0.98013336 562.92378 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 1 308 0.11426622 230.25397 0.11593563 0.98642948 577.97374 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 1 1.8192031 0.00029631434 0.00055596207 0.97949985 0.99545783 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.0323290.0005560.010496 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 0 0.83902946 137.33207 -0.27801471 0.94989000 127.22046 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 6 -0.25000000 -382.63443 0.0000000 1.0000000 -169.67586 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 13 -0.25000000 -357.93716 0.0000000 1.0000000 -172.83932 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 18 -0.25000000 -363.41492 0.0000000 1.0000000 -125.28232 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 26 0.72889426 -32.886904 -0.25092068 0.79580075 223.58333 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 52 -0.25000000 -238.42152 0.0000000 1.0000000 -90.292305 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 60 0.68721144 -168.01214 -0.16931897 1.1150167 198.41148 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 63 -0.25000000 -248.10408 0.0000000 1.0000000 -49.672340 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 82 0.75770230 -194.37507 -0.36371525 1.1786063 214.53749 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 84 -0.25000000 -334.11438 0.0000000 1.0000000 -194.84242 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 109 -0.25000000 -287.34073 0.0000000 1.0000000 -39.946972 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 114 -0.25000000 -282.79507 0.0000000 1.0000000 -47.095943 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 131 1.6821161 -161.13650 -0.71063497 2.0000000 173.03109 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 153 0.74566891 136.40289 -0.14058636 1.1124695 188.10413 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 176 1.1079782 149.49758 -0.14152930 1.0320629 201.41072 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 180 0.79885006 148.93057 -0.42785656 1.2471324 158.62259 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 184 1.0031023 189.99502 0.053317820 0.79255136 198.72806 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 185 1.7700754 152.23700 0.28150053 0.74067359 179.66722 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 186 0.31879870 133.59849 -0.076458153 0.88824970 196.55832 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 201 1.2343430 137.36925 -0.37864379 1.0688689 137.39270 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 204 3.1912235 145.45607 0.0087802315 0.85046712 191.85071 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 206 1.9708788 130.94623 -0.094753343 0.83923521 243.67097 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 213 1.0143067 166.68926 -0.041082769 0.94884531 137.30155 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 235 0.77403881 67.172263 0.091433652 0.96147251 197.03206 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 257 2.7016264 157.37153 -0.13267001 0.97841789 182.86636 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 259 1.4431075 294.97258 0.031414202 0.60000000 251.71389 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 260 1.8131076 108.48349 0.0027279300 1.0856614 195.03466 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 261 1.5176219 158.77981 -0.12412950 1.1338428 186.72362 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 265 1.5509542 181.50049 -0.041817398 0.70614011 177.78910 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 271 1.4725121 141.35005 -0.10575599 0.75423012 208.57617 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 276 1.8177694 111.72242 0.057064062 0.78590440 163.41248 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 281 2.0350679 35.629453 -0.27495754 1.0980453 195.58334 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 284 1.7944097 45.770966 -0.26530959 0.74402556 162.65991 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 307 0.90550569 98.574340 -0.082859742 0.84583371 213.00150 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 2 308 0.63993131 202.24661 0.025597134 0.99807080 138.48469 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 2 0.72822132 0.0074855123 -0.094702699 0.92754872 0.97467942 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 225 of 225 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.127588-0.0947030.031464 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 0 0.63630101 171.82090 -0.075784941 0.92765726 288.39328 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 6 -0.25000000 -401.48450 0.0000000 1.0000000 -49.318565 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 13 1.0625259 -287.74517 -0.18162188 1.0537498 296.63100 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 18 -0.25000000 -318.54300 0.0000000 1.0000000 -26.177050 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 26 0.11365311 -29.123999 -0.021390876 0.90892170 388.99680 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 52 0.28378892 -270.13999 0.069279594 0.83635783 311.67506 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 60 11.627297 -239.53724 0.82340865 1.4735379 772.50989 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 63 0.22590119 -281.76771 -0.091567200 0.94604778 356.02935 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 82 2.9151108 -183.63695 -0.15017360 0.90336469 390.64834 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 84 0.41456324 -303.72162 -0.19087674 0.89597653 334.80070 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 109 1.2393618 -245.58857 0.078729327 0.92377281 335.61951 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 114 0.38091141 -207.23735 0.037232626 0.89457415 327.14078 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 131 5.5964354 -53.583273 0.11304048 0.82842217 395.53468 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 153 0.52223673 195.37897 -0.21145793 1.0985891 280.45570 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 176 0.84630225 178.93603 0.044392484 0.89308181 321.27280 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 180 1.5042154 173.19074 0.036007741 0.87967465 358.60912 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 184 0.86513078 178.78272 -0.13287537 1.0404957 323.49418 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 185 0.46939070 133.04186 -0.049636809 1.1186103 375.49333 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 186 0.66140762 136.64307 0.15219073 1.1401961 321.21161 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 201 1.1660517 144.66449 0.068013900 1.1289844 308.53786 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 204 0.69646014 163.70496 0.19700715 0.91675857 338.54529 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 206 0.86079005 180.10963 0.13282512 1.0473524 312.03375 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 213 0.59419203 217.90875 -0.095623485 0.98278043 296.55910 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 235 0.37929379 104.38874 -0.10628263 1.0085627 357.97023 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 257 1.4921735 188.64978 -0.22262932 0.87508889 336.88923 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 259 0.38367936 270.32001 0.088712976 0.95880555 367.34578 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 260 0.41357171 116.17473 0.00018588152 0.99940166 375.27687 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 261 0.21661656 200.16214 -0.14989594 0.76122054 391.61221 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 265 2.1921976 156.32960 0.20666969 0.97677098 301.32357 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 271 2.4970311 124.62794 0.14471223 0.98335624 351.19822 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 276 1.7088662 87.673541 -0.11569792 1.1344070 300.30407 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 281 1.2471766 49.149170 0.12166717 0.89724991 319.75893 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 284 1.4923712 30.152492 -0.087192594 1.0160712 311.10795 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 307 0.70640490 86.390153 0.10896891 1.0181178 329.01499 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 3 308 0.84841614 212.52990 0.016626359 1.0087906 367.32532 LOCATESKYLINES_2: sdR-r2-00034755.fit: trimmed 2high points: 0.0000000 0.96589351 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 3 1.6045654 0.016337364 0.046166456 0.96543510 0.97618711 LOCATESKYLINES_2: sdR-r2-00034755.fit: sigma-clipped to 291 of 296 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034755.fit: comb2 l,chi^2/dof,fit: 3 0.83957828 0.0067564066 -0.0093807509 0.96388171 0.99316750 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 291 of 296 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.042266-0.0093810.017602 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 0 1.6415896 147.81185 0.067836885 0.93065611 420.15007 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 6 -0.25000000 -416.59216 0.0000000 1.0000000 -21.631756 LOCATESKYLINES_2: sdR-r2-00034755.fit: mpfit failed, dropping trace: ERROR: parameters are not within PARINFO limits LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 13 0.91449370 -275.09231 -0.016334426 0.89478389 320.08183 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 18 2.0735148 -300.31550 0.0072694803 0.90867311 406.24034 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 26 0.31442059 -41.265501 0.18013106 1.1316715 407.79128 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 52 1.5236351 -293.32657 0.069505210 1.0124398 378.55593 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 60 2.2615786 -217.21687 0.088967292 1.1772098 366.48405 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 63 0.66577982 -241.09840 -0.052710089 0.76060737 339.67142 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 82 0.57120366 -166.50154 0.079005987 0.75700787 448.53237 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 84 0.36903090 -327.26678 0.044843981 0.93118474 435.85397 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 109 0.74047820 -238.92583 -0.079718588 0.99421496 344.41537 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 114 1.8833291 -206.48435 0.042247905 0.83601116 323.20421 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 131 0.56177621 -70.484746 -0.019685862 0.91631838 445.58062 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 153 0.70198373 214.75311 0.057923932 0.96744732 391.99235 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 176 1.5890949 169.66300 -0.073837991 1.0082520 392.59188 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 180 3.4179764 163.13484 0.14054155 0.98263816 397.48113 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 184 2.7109703 189.30161 -0.081488087 1.0025587 373.80721 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 185 3.0092350 147.63493 -0.083398556 1.0294829 386.38533 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 186 1.0939481 151.21990 -0.10773930 0.93863979 352.61797 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 201 3.0200086 166.60410 0.028493822 0.92078258 387.78452 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 204 2.1269120 176.68210 0.29449729 0.90032690 380.33739 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 206 1.7511921 200.26371 0.11218096 0.88391299 438.55813 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 213 1.8501700 194.41529 -0.013197949 0.87824726 421.58146 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 235 0.90038366 114.43402 0.17634746 1.0689620 327.01781 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 257 0.84503001 172.53250 0.048866866 0.96767197 379.32855 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 259 1.8978765 264.20357 0.053146279 1.1146548 383.52042 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 260 3.6233410 190.75982 -0.087751122 0.79498329 340.53567 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 261 1.4312211 180.71459 0.052947261 0.89198404 419.57098 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 265 0.15749366 168.65490 -0.034797236 0.96035577 362.35228 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 271 0.82530424 161.39474 -0.067450764 0.97762676 396.54033 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 276 1.5298077 113.06059 -0.083938173 1.0024181 347.77806 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 281 0.90788258 68.848390 -0.054059595 0.95142556 366.25095 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 284 1.5880005 33.800651 0.0066914253 1.0558450 371.03644 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 307 1.5891009 93.639158 -0.097664023 0.88500105 350.94946 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 4 308 0.25074801 238.48070 0.032979789 0.94444872 392.42097 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 4 1.0882453 0.0010993228 0.015663783 0.96155580 0.98872443 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.0172210.0156640.015512 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 0 1.7418119 198.83390 -0.045935265 0.96037899 416.54357 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 6 1.4258734 -299.76240 0.14076895 1.0682568 421.37835 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 13 0.56146739 -157.29519 0.18777580 0.97617945 462.47029 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 18 1.9934257 -279.96083 0.12127389 1.0064081 420.34128 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 26 0.63030146 -31.290609 -0.086617592 1.0507674 439.97064 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 52 2.4998306 -284.40296 -0.12710012 1.0833367 430.43378 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 60 0.93642123 -180.20577 0.16272007 1.0104426 465.78603 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 63 1.2040451 -254.14386 0.066711563 0.98161668 432.53971 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 82 1.3070769 -159.17775 -0.032275481 0.99570583 440.04640 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 84 1.9889290 -289.50246 0.062885936 0.91084591 493.17012 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 109 1.7824344 -154.64370 0.032185971 1.0666268 455.35239 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 114 1.5554228 -143.45736 0.016702790 1.0399740 352.81337 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 131 1.5320811 -5.7101248 0.15514687 0.99593128 387.97209 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 153 1.0713014 179.14284 -0.14305208 1.1565844 477.43695 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 176 1.3434813 142.36012 -0.033638418 1.1741212 462.63883 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 180 0.48746484 167.51841 -0.053515138 1.0679968 424.52655 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 184 0.30199396 161.17892 -0.11947447 1.0385707 445.26637 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 185 1.1317546 129.61739 -0.071934491 1.0530007 475.60599 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 186 1.1506387 162.45412 0.021567689 1.1158296 398.71478 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 201 1.4289763 158.72038 -0.16173475 1.0406050 425.28707 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 204 0.73152248 173.58469 -0.14214057 0.94536393 420.08818 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 206 0.45247446 198.62079 -0.066929057 1.1484480 417.10718 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 213 0.21748480 198.70760 -0.093585796 1.0260484 456.28026 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 235 1.7249707 120.09735 0.076320265 0.99221788 468.04939 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 257 1.3147227 186.55420 0.052032270 1.0392589 448.93446 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 259 1.4704460 233.46578 -0.045955757 1.0379769 483.64084 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 260 0.52370369 128.16049 -0.067484767 1.0413290 419.13427 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 261 0.25037160 165.96792 0.038643493 1.0781538 513.15542 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 265 1.5675173 180.29842 -0.10701015 0.90363379 400.14941 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 271 1.1912932 127.29385 0.030204898 0.97835589 526.72493 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 276 1.6878750 114.15431 -0.022219204 1.1365888 438.19700 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 281 1.1654669 53.858014 -0.22265123 1.0761816 424.65621 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 284 1.5076794 45.101422 0.025628326 1.0112266 466.01881 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 307 1.1463617 90.324723 0.096782275 1.0959931 415.71308 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 5 308 0.83850809 277.73493 -0.12424410 1.1875245 490.78060 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 5 0.91308996 0.0021543130 -0.023446146 1.0431309 0.99373861 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 315 of 315 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.056331-0.0234460.014861 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 0 1.3189198 166.28495 -0.10932623 0.96937663 849.58204 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 6 4.7538702 -314.50212 -0.12239186 0.89593022 920.26951 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 13 1.1202550 -241.91842 -0.10603941 0.95233167 990.59678 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 18 3.9734508 -365.01212 0.12807212 0.93704040 919.24376 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 26 1.9210245 -65.231391 -0.17040252 0.99866230 921.47286 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 52 1.5920222 -299.08797 0.035444040 0.87873794 968.72231 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 60 0.80243706 -182.86855 -0.12475907 0.91207802 962.93143 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 63 0.45955817 -319.96853 -0.075251723 0.95355681 1015.0555 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 82 0.58585493 -165.37956 -0.17134346 0.93452273 899.72650 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 84 0.97669802 -341.77099 -0.18186778 1.0249182 944.57718 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 109 0.53980190 -195.50377 -0.0017875135 0.88545026 930.41948 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 114 2.3985172 -157.92828 0.046941980 0.91295058 948.48685 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 131 1.2826740 -61.187208 -0.095696670 0.91909133 944.56532 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 153 0.40833014 144.13111 -0.14073162 1.1310957 903.22392 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 176 1.8924796 121.40429 -0.082024331 0.94370242 1057.0561 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 180 1.7880569 120.97228 -0.099579324 0.93901818 1011.6995 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 184 4.7927172 148.65121 -0.099005801 0.96736246 982.15539 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 185 1.9578700 104.30908 -0.15110593 0.93836320 1011.6709 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 186 1.6115409 123.55613 -0.18738134 0.91519974 953.36598 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 201 1.1857141 134.82953 -0.088857926 1.0017734 956.50637 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 204 0.44224915 188.20935 -0.10868602 0.90905836 1013.3955 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 206 3.0007178 190.00877 -0.25381778 0.97326832 928.04574 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 213 4.9873319 174.04964 -0.13193285 0.92203609 956.41268 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 235 5.1537213 86.679100 -0.068740580 0.99340031 1111.1707 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 257 3.8250662 161.75100 -0.15684613 0.95266896 1016.3432 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 259 3.6222409 247.56846 -0.12487511 0.91380962 1016.7691 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 260 3.9120403 112.03363 -0.097565245 0.91304622 1002.3508 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 261 0.81325142 153.59971 -0.070289085 0.94425607 981.34034 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 265 0.24849584 145.91608 -0.10235123 0.93309683 1020.5452 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 271 0.91432602 107.26399 -0.091036485 0.92824915 982.20899 LOCATESKYLINES_2: sdR-r2-00034755.fit: no good points in line, fiber 6 30 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 281 0.20706636 55.750554 -0.16519071 0.86066666 1036.2484 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 284 0.95451500 55.689876 -0.11867115 0.90770942 971.46817 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 307 1.3172906 73.467698 -0.14046499 0.87871429 982.50053 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 6 308 1.5060046 292.94330 -0.082144752 0.80318549 960.33131 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 6 1.5147910 0.00095065376 -0.10567166 0.93474264 0.99651010 LOCATESKYLINES_2: sdR-r2-00034755.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034755.fit: comb2 l,chi^2/dof,fit: 6 1.4525678 0.0012182783 -0.10945314 0.93257229 0.99530572 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.142338-0.1094530.007682 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 0 1.5050088 138.92980 -0.067074042 0.94543929 1166.0395 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 6 2.3874630 -393.15011 0.045415047 0.94880561 1114.2051 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 13 2.3088495 -289.48018 -0.042722394 0.87638280 1202.5138 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 18 1.9148285 -360.99162 -0.068232866 0.96181501 1172.8260 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 26 3.9590629 -135.68099 0.0029999949 0.86490336 1295.1479 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 52 1.5317391 -308.07844 -0.026609485 1.0302624 1103.3566 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 60 1.6385097 -213.11008 -0.053515349 0.91785939 1163.8818 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 63 6.2798822 -317.20381 -0.11634891 0.92610991 1207.0494 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 82 1.1158096 -226.16862 -0.054894001 0.95951149 1087.3394 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 84 1.7421625 -346.57232 -0.050327491 0.93487765 1242.3788 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 109 0.55804687 -188.77508 -0.068083536 0.92974732 1201.9627 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 114 1.3901864 -159.28723 -0.063839440 0.86329116 1153.4997 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 131 0.34708702 -52.416213 -0.067100145 0.87303430 1126.3992 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 153 0.19788309 166.93373 -0.16133971 0.91264904 1168.5630 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 176 2.7831650 137.19772 -0.10028786 0.91151489 1227.7505 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 180 2.7923460 134.37767 -0.064531721 0.98056543 1239.1604 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 184 5.0613145 156.37080 -0.075207561 0.94317127 1186.5955 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 185 0.71602145 137.54169 -0.082631443 0.91524804 1209.1937 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 186 1.4537502 128.49378 -0.060765737 0.91642178 1194.8105 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 201 1.4356543 147.47250 -0.11544498 0.90697905 1208.2777 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 204 1.4711233 166.59787 -0.099710526 0.91360443 1175.3862 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 206 1.9524861 224.99686 -0.045224666 0.83260693 1155.3899 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 213 1.3367624 174.27870 -0.060478163 0.95453006 1155.2674 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 235 5.1139926 102.23246 -0.0062609816 0.95684068 1188.7086 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 257 3.5031476 161.32260 -0.047615958 0.88990004 1167.0956 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 259 2.7134634 253.39961 -0.13751596 0.89096027 1223.7150 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 260 3.6653931 113.51767 -0.072557246 0.90039547 1205.7714 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 261 1.6322420 139.20486 -0.068444107 0.89760660 1220.2221 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 265 2.0907097 137.97200 -0.088438106 0.83857040 1274.4073 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 271 1.2761539 140.76690 -0.073553704 0.89795967 1123.2614 LOCATESKYLINES_2: sdR-r2-00034755.fit: no good points in line, fiber 7 30 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 281 1.0631047 64.513295 -0.13522450 0.90454682 1137.4450 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 284 0.31350238 80.432048 -0.048381055 0.85998896 1168.3346 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 307 2.8031152 56.943462 -0.078643583 0.97293995 1119.8416 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 7 308 0.66026036 216.94807 -0.10322658 0.87908209 1183.4276 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 7 1.4908482 0.00024792637 -0.071990361 0.91484612 0.99712261 LOCATESKYLINES_2: sdR-r2-00034755.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034755.fit: comb2 l,chi^2/dof,fit: 7 1.4332668 0.00045228433 -0.074810920 0.91301504 0.99645916 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.107696-0.0748110.006492 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 0 1.0233839 62.907718 -0.0061370506 0.90727569 1469.3764 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 6 0.32706707 -380.07875 0.020083105 0.91379173 1413.4938 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 13 0.48496164 -260.04332 0.059008782 0.95398265 1432.7158 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 18 1.1178058 -342.17600 0.0031641773 0.90531218 1499.4108 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 26 2.8602743 -214.15341 -0.086421417 0.96422925 1564.0375 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 52 0.30221432 -261.89901 0.012529034 0.89378562 1440.8172 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 60 0.86410359 -206.44598 -0.0022498343 0.89715941 1427.8485 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 63 1.0686863 -324.45808 -0.0010910957 0.96616879 1509.0151 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 82 0.77488565 -324.60262 0.0012992561 1.0239059 1462.7399 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 84 1.8355418 -374.68053 0.0082260303 0.89831991 1572.8715 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 109 1.0286238 -265.73840 0.014848217 0.93328445 1445.0790 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 114 0.41482778 -262.09711 0.0046142605 0.96783106 1494.8644 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 131 1.1093575 -166.19893 -0.058857302 0.88577736 1399.8148 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 153 0.78646191 28.529911 -0.096923812 0.91003704 1479.1278 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 176 2.1229440 75.757597 -0.028641718 0.92223000 1410.7853 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 180 3.4086449 37.138407 -0.014484480 0.93972767 1533.9122 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 184 3.1763352 66.891016 -0.027953534 0.93919819 1470.7374 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 185 2.2332929 48.392797 -0.040613520 0.89587069 1593.1042 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 186 0.89702809 54.322455 -0.033473705 0.92632829 1472.4039 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 201 1.7249772 79.940756 -0.055062237 0.84854002 1498.3448 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 204 3.5771998 71.189226 -0.0051650102 0.91676816 1467.3128 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 206 0.95598497 40.323139 -0.015517846 0.92387623 1485.4720 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 213 3.2214939 60.882549 -0.0040417474 0.94150706 1449.1385 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 235 5.6445947 -27.804927 -0.074121114 0.90958283 1526.5187 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 257 2.6850818 55.411113 -0.022957540 0.91236583 1532.2197 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 259 3.1485261 110.32923 0.016500290 0.90503088 1518.7782 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 260 4.7614777 31.988517 -0.030241078 0.93006549 1474.1100 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 261 3.6013463 36.960001 -0.044099991 0.94601956 1456.4095 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 265 5.0969434 0.33864106 -0.10406355 0.89905659 1569.1841 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 271 1.3119572 -4.5051601 0.0097556814 0.90058445 1548.2072 LOCATESKYLINES_2: sdR-r2-00034755.fit: no good points in line, fiber 8 30 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 281 0.41499380 -41.313331 -0.013119485 0.88905620 1544.4608 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 284 0.78396508 -51.476892 -0.059720977 0.95158710 1475.8324 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 307 2.5194901 -33.370547 -0.024561344 0.93722319 1403.9457 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 8 308 1.0934865 102.22682 -0.018772412 0.89392846 1542.9476 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 8 1.3877371 0.00030497285 -0.023703415 0.91912726 0.99911464 LOCATESKYLINES_2: sdR-r2-00034755.fit: sigma-clipped to 305 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034755.fit: comb2 l,chi^2/dof,fit: 8 1.3244502 0.00049604512 -0.022136926 0.92115063 0.99795266 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 305 of 306 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.055022-0.0221370.005300 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 0 1.5721550 38.344423 -0.041016978 0.96388427 1669.7359 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 6 1.3384078 -402.38501 -0.045906575 0.97776266 1639.1742 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 13 0.67921122 -217.74658 0.024256798 0.99799199 1539.5207 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 18 2.3939087 -305.56592 -0.052631874 0.91136432 1657.8357 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 26 2.9245349 -205.53438 -0.030204468 0.94370157 1787.0775 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 52 2.0158222 -244.12605 -0.041171615 0.96933564 1634.7407 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 60 2.0151230 -232.08271 -0.024570416 0.95856091 1758.2426 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 63 1.3124265 -281.67002 -0.053908856 0.91509089 1663.1955 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 82 0.95976419 -290.36959 -0.076385363 0.98759711 1653.2757 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 84 0.62163980 -382.01798 -0.012709153 0.94354799 1649.9657 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 109 1.8120078 -226.69409 0.0058516751 0.93405143 1702.3868 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 114 0.95226453 -214.39863 -0.065979234 0.93928048 1581.2163 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 131 1.9280426 -156.51630 -0.037947239 0.89968054 1783.7787 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 153 2.3488210 53.130921 -0.055619504 0.90722007 1742.2901 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 176 2.4359317 69.391664 -0.057045010 0.92380722 1697.4774 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 180 2.8641265 66.848714 0.024145331 0.96152309 1682.9569 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 184 3.1619489 73.413771 -0.045710202 0.96214870 1710.3479 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 185 3.2047234 41.637413 -0.039667663 0.94964178 1683.4271 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 186 2.1981602 48.117318 -0.047274879 0.94825209 1696.4236 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 201 2.9288146 60.373088 -0.051854108 0.91029252 1738.9815 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 204 0.75482415 49.203161 -0.085392732 0.91030216 1749.6607 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 206 0.42062290 78.197244 -0.034625690 0.87336207 1735.8601 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 213 2.5693187 38.529493 -0.074429929 0.92024274 1770.6589 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 235 6.5475820 -19.951687 -0.076816861 0.96407834 1652.2277 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 257 3.2497303 46.049695 -0.059732204 0.92682173 1717.8579 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 259 0.76902853 119.23786 -0.040719666 0.91278891 1685.1060 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 260 1.1063647 71.841483 -0.095538545 0.95722778 1630.5207 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 261 5.5246157 45.117710 0.0072133243 0.99528064 1698.4736 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 265 5.8786488 1.1839995 -0.0056892765 0.91118371 1814.1399 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 271 0.28040806 24.823372 -0.038680323 0.89751686 1723.6749 LOCATESKYLINES_2: sdR-r2-00034755.fit: no good points in line, fiber 9 30 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 281 1.4591938 -37.745484 -0.024867255 0.94551409 1718.4867 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 284 2.0631085 -17.423148 -0.034247244 0.88572236 1713.6016 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 307 0.74295140 -40.943712 -0.010615934 0.93253122 1732.2872 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 9 308 1.6716176 94.062276 -0.0097776877 0.92758384 1787.3088 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 9 1.5029951 0.00025918952 -0.038836433 0.93438243 0.99896339 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 306 of 306 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.071721-0.0388360.004817 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 0 2.0162820 -43.741452 0.00044011081 0.97366534 1386.5800 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 6 1.6575022 -470.25902 0.027784574 0.98420118 1496.8337 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 13 0.39611864 -240.72569 0.027176141 1.0189224 1429.0690 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 18 2.4678226 -364.03187 -0.037428465 1.0206138 1415.5898 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 26 2.7571101 -275.18267 -0.014538690 0.91466446 1658.9939 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 52 1.7427306 -305.15278 -0.030690171 1.0209622 1550.1799 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 60 1.1958458 -233.09551 -0.064127893 0.99770157 1523.0231 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 63 0.70665382 -302.83774 0.0083344122 1.0058980 1550.1319 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 82 1.7566812 -335.35564 0.022652959 1.0618681 1460.8681 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 84 3.4376787 -454.54704 -0.0095490539 0.98870429 1530.6787 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 109 2.1150353 -240.65085 0.024993520 0.96978022 1507.8834 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 114 1.5899372 -273.42913 0.054094355 0.98429202 1508.5531 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 131 0.81325981 -234.97759 -0.045177469 0.97474288 1560.9124 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 153 1.3416762 -84.748418 -0.023842700 0.94484005 1617.7808 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 176 0.45662510 -35.017985 -0.035909127 1.0056420 1550.8649 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 180 5.1889975 -13.530570 0.016151218 0.99877883 1548.0425 LOCATESKYLINES_2: sdR-r2-00034755.fit: no good points in line, fiber 10 16 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 185 1.7458698 -9.3415748 -0.069951037 0.93831075 1562.5161 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 186 1.8365660 -6.8752189 -0.035513222 0.93155203 1562.4153 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 201 3.5780224 -39.667735 -0.081087492 0.94476578 1560.3501 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 204 3.0973521 -13.251592 0.0042331454 0.97176465 1511.2980 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 206 2.5824780 -32.576450 -0.012219114 0.97391777 1558.6132 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 213 1.5424150 -22.775677 -0.026455152 0.89232906 1552.7866 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 235 2.5801215 -109.21361 -0.039888937 0.96091264 1562.9837 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 257 2.2527780 6.5996153 0.025033946 0.87421461 1560.0828 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 259 1.9634015 42.373721 -0.046325577 0.92811669 1548.1201 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 260 0.40900046 -36.720349 0.060059832 0.89584733 1664.9916 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 261 0.82271443 -37.756438 -0.020489551 0.89188687 1693.1724 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 265 0.87581156 -76.403578 -0.036421963 0.98431847 1595.9755 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 271 2.2147918 -67.851444 -0.011754707 0.86761497 1710.9970 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 276 2.4288530 -75.313053 -0.059943528 0.99641672 1489.3078 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 281 1.1619119 -91.374214 -0.092466739 0.91797971 1550.7577 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 284 1.8125418 -81.179982 -0.048103531 0.88612071 1570.3848 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 307 1.9979118 -107.52461 0.0012006120 0.90456731 1543.4567 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 10 308 2.9471176 -42.546915 -0.025481949 0.92710571 1666.3556 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 10 1.7201847 0.00035039228 -0.020391562 0.94940307 0.99802869 LOCATESKYLINES_2: sdR-r2-00034755.fit: sigma-clipped to 304 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034755.fit: comb2 l,chi^2/dof,fit: 10 1.5983016 0.00039355519 -0.020763220 0.95131238 0.99571774 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 304 of 306 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.053648-0.0207630.005258 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 0 0.67152219 -14.615787 0.020569201 0.94402171 1675.3339 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 6 1.4368520 -426.62755 -0.023555665 0.94464182 1720.5378 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 13 2.4198054 -231.67983 -0.0068898917 0.94307554 1787.7891 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 18 0.88896191 -329.37231 0.013208731 0.93648240 1811.1755 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 26 0.87457498 -265.42847 0.057200572 0.98872463 1750.9142 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 52 2.1754432 -304.65228 0.051049229 1.0089211 1828.2998 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 60 0.36462378 -246.37222 -0.033212432 0.99076680 1708.3226 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 63 2.0754666 -269.55310 0.0098399895 0.93182513 1861.9835 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 82 2.9742139 -341.68275 -0.00080898620 1.0301554 1730.3172 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 84 1.5007520 -397.46446 -0.041524259 0.95060867 1789.3636 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 109 0.50725426 -239.40187 0.051657213 0.94063274 1779.5605 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 114 0.34470434 -255.25343 -0.051065302 0.99012968 1830.9233 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 131 0.75758978 -229.79555 -0.098831468 0.93778700 1856.3343 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 153 2.5418918 -83.898660 -0.063621836 0.93345429 1857.1674 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 176 0.97585239 -15.488501 -0.020682595 0.93653605 1819.6663 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 180 5.2149149 9.4276538 0.028576489 0.91449526 1878.4046 LOCATESKYLINES_2: sdR-r2-00034755.fit: no good points in line, fiber 11 16 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 185 1.0529732 -9.7082219 -0.027543384 0.92952205 1874.5192 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 186 2.4885473 -0.95444611 0.0045129659 0.93502277 1806.9369 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 201 1.5148945 -24.886248 -0.053481961 0.88488546 1844.6150 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 204 1.7156905 -20.503013 -0.028562354 0.91660221 1843.3906 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 206 2.3798798 -40.130259 -0.014716849 0.97053618 1783.0675 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 213 2.7289229 -74.915030 0.052399316 0.90730430 1847.5298 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 235 2.6013604 -89.089273 -0.088872453 0.90290307 1838.7410 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 257 1.3850286 0.76263023 -0.0043241015 0.88804338 1883.3770 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 259 0.94714782 23.250613 -0.010855502 0.93432464 1854.4420 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 260 2.4903276 -8.3166515 0.010429999 0.86375640 1779.3664 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 261 3.1539471 -39.270441 -0.026145305 0.93867232 1940.7858 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 265 3.6352688 -37.626896 -0.045472131 0.87253705 1906.0697 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 271 0.64664875 -57.438631 0.0075266138 0.91334216 1854.3484 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 276 2.3650175 -62.083758 -0.050023993 0.93415496 1782.3346 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 281 1.3748013 -97.856223 -0.091585939 0.92931234 1817.6465 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 284 0.64444197 -80.306141 -0.036821048 0.92122312 1788.4438 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 307 1.6754441 -111.87341 -0.037364447 0.91613644 1813.2081 LOCATESKYLINES_2: sdR-r2-00034755.fit: l,f,chi^2/dof,c: 11 308 2.3758266 -52.672142 -0.038351768 0.94723685 1881.8948 LOCATESKYLINES_2: sdR-r2-00034755.fit: comb1 l,chi^2/dof,fit: 11 1.5502824 0.00019640438 -0.017629512 0.92978265 0.99902308 LOCATESKYLINES_2: sdR-r2-00034755.fit: sigma-clipped to 303 of 306 points; iterating fit LOCATESKYLINES_2: sdR-r2-00034755.fit: comb2 l,chi^2/dof,fit: 11 1.3667546 0.00023375494 -0.015848767 0.93298574 0.99708730 LOCATESKYLINES_2: sdR-r2-00034755.fit: kept 303 of 306 points LOCATESKYLINES_2: sdR-r2-00034755.fit: offset, refoff, sigma: -0.048734-0.0158490.004600 MRDFITS: Binary table. 5 columns by 1 rows. TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 FITMEANX: sdR-r2-00034755.fit: In skyline number 0 std-dev is 0.024449243 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 1 std-dev is 0.051390430 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 2 std-dev is 0.083022413 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 3 std-dev is 0.082291220 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 4 std-dev is 0.050903015 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 5 std-dev is 0.093479438 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 6 std-dev is 0.073821411 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 7 std-dev is 0.033914831 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 8 std-dev is 0.027293014 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 9 std-dev is 0.028184625 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 10 std-dev is 0.032788318 pix FITMEANX: sdR-r2-00034755.fit: In skyline number 11 std-dev is 0.034746264 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: Fitting 3 coefficients for wavelength shifts TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 6300.3040 coadded std-dev is 0.00439609 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 6363.7760 coadded std-dev is 0.0104965 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 6553.6100 coadded std-dev is 0.0314641 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 6923.2100 coadded std-dev is 0.0176023 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 6949.0300 coadded std-dev is 0.0155118 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 7571.7500 coadded std-dev is 0.0148610 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 7794.1200 coadded std-dev is 0.00768169 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 7821.5100 coadded std-dev is 0.00649224 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 8399.1600 coadded std-dev is 0.00529977 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 8430.1700 coadded std-dev is 0.00481714 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 8885.8300 coadded std-dev is 0.00525761 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: In sky feature at 8919.6100 coadded std-dev is 0.00460042 pix TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 12 0 1 12 0 2 12 0 3 12 0 4 12 0 5 12 0 6 12 0 7 12 0 8 12 0 9 12 0 10 12 0 11 12 0 12 12 0 13 12 0 14 12 0 15 12 0 16 12 0 17 12 0 18 12 0 19 12 0 20 12 0 21 12 0 22 12 0 23 12 0 24 12 0 25 12 0 26 12 0 27 12 0 28 12 0 29 12 0 30 12 0 31 12 0 32 12 0 33 12 0 34 12 0 35 12 0 36 12 0 37 12 0 38 12 0 39 12 0 40 12 0 41 12 0 42 12 0 43 12 0 44 12 0 45 12 0 46 12 0 47 12 0 48 12 0 49 12 0 50 12 0 51 12 0 52 12 0 53 12 0 54 12 0 55 12 0 56 12 0 57 12 0 58 12 0 59 12 0 60 12 0 61 12 0 62 12 0 63 12 0 64 12 0 65 12 0 66 12 0 67 12 0 68 12 0 69 12 0 70 12 0 71 12 0 72 12 0 73 12 0 74 12 0 75 12 0 76 12 0 77 12 0 78 12 0 79 12 0 80 12 0 81 12 0 82 12 0 83 12 0 84 12 0 85 12 0 86 12 0 87 12 0 88 12 0 89 12 0 90 12 0 91 12 0 92 12 0 93 12 0 94 12 0 95 12 0 96 12 0 97 12 0 98 12 0 99 12 0 100 12 0 101 12 0 102 12 0 103 12 0 104 12 0 105 12 0 106 12 0 107 12 0 108 12 0 109 12 0 110 12 0 111 12 0 112 12 0 113 12 0 114 12 0 115 12 0 116 12 0 117 12 0 118 12 0 119 12 0 120 12 0 121 12 0 122 12 0 123 12 0 124 12 0 125 12 0 126 12 0 127 12 0 128 12 0 129 12 0 130 12 0 131 12 0 132 12 0 133 12 0 134 12 0 135 12 0 136 12 0 137 12 0 138 12 0 139 12 0 140 12 0 141 12 0 142 12 0 143 12 0 144 12 0 145 12 0 146 12 0 147 12 0 148 12 0 149 12 0 150 12 0 151 12 0 152 12 0 153 12 0 154 12 0 155 12 0 156 12 0 157 12 0 158 12 0 159 12 0 160 12 0 161 12 0 162 12 0 163 12 0 164 12 0 165 12 0 166 12 0 167 12 0 168 12 0 169 12 0 170 12 0 171 12 0 172 12 0 173 12 0 174 12 0 175 12 0 176 12 0 177 12 0 178 12 0 179 12 0 180 12 0 181 12 0 182 12 0 183 12 0 184 12 0 185 12 0 186 12 0 187 12 0 188 12 0 189 12 0 190 12 0 191 12 0 192 12 0 193 12 0 194 12 0 195 12 0 196 12 0 197 12 0 198 12 0 199 12 0 200 12 0 201 12 0 202 12 0 203 12 0 204 12 0 205 12 0 206 12 0 207 12 0 208 12 0 209 12 0 210 12 0 211 12 0 212 12 0 213 12 0 214 12 0 215 12 0 216 12 0 217 12 0 218 12 0 219 12 0 220 12 0 221 12 0 222 12 0 223 12 0 224 12 0 225 12 0 226 12 0 227 12 0 228 12 0 229 12 0 230 12 0 231 12 0 232 12 0 233 12 0 234 12 0 235 12 0 236 12 0 237 12 0 238 12 0 239 12 0 240 12 0 241 12 0 242 12 0 243 12 0 244 12 0 245 12 0 246 12 0 247 12 0 248 12 0 249 12 0 250 12 0 251 12 0 252 12 0 253 12 0 254 12 0 255 12 0 256 12 0 257 12 0 258 12 0 259 12 0 260 12 0 261 12 0 262 12 0 263 12 0 264 12 0 265 12 0 266 12 0 267 12 0 268 12 0 269 12 0 270 12 0 271 12 0 272 12 0 273 12 0 274 12 0 275 12 0 276 12 0 277 12 0 278 12 0 279 12 0 280 12 0 281 12 0 282 12 0 283 12 0 284 12 0 285 12 0 286 12 0 287 12 0 288 12 0 289 12 0 290 12 0 291 12 0 292 12 0 293 12 0 294 12 0 295 12 0 296 12 0 297 12 0 298 12 0 299 12 0 300 12 0 301 12 0 302 12 0 303 12 0 304 12 0 305 12 0 306 12 0 307 12 0 308 12 0 309 12 0 310 12 0 311 12 0 312 12 0 313 12 0 314 12 0 315 12 0 316 12 0 317 12 0 318 12 0 319 12 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 LOCATESKYLINES_2: sdR-r2-00034755.fit: Median arc shift = -0.067780801 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: Dispersion in arc shift = 0.022143458 pix LOCATESKYLINES_2: sdR-r2-00034755.fit: Maximum sky-line shift is 0.10073986 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Number of sky lines = 12 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Number of fibers = 320 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Number of sky fibers = 18 ROW NITER SIG(med) CHI^2 .0000 2 0.87 1.09 .0001 13 0.87 0.75 .0002 20 0.87 0.79 .0003 11 0.87 0.99 .0004 16 0.87 1.92 .0005 20 0.87 1.54 .0006 3 0.87 0.76 .0007 20 0.87 1.16 .0008 8 0.87 0.86 .0009 11 0.87 0.98 .0010 13 0.87 0.69 .0011 13 0.87 2.30 .0012 13 0.87 3.03 .0013 2 0.87 0.69 .0014 19 0.87 0.86 .0015 4 0.87 0.96 .0016 20 0.87 1.07 .0017 7 0.87 1.13 .0018 3 0.87 0.69 .0019 10 0.87 0.79 .0020 15 0.84 1.39 .0021 12 0.84 0.91 .0022 20 0.84 0.84 .0023 20 0.84 2.42 .0024 10 0.84 0.97 .0025 11 0.84 1.15 .0026 3 0.84 0.83 .0027 20 0.84 1.79 .0028 12 0.84 0.77 .0029 14 0.84 0.98 .0030 14 0.84 0.81 .0031 15 0.84 1.02 .0032 20 0.84 1.96 .0033 13 0.84 0.95 .0034 20 0.84 1.30 .0035 13 0.84 1.95 .0036 4 0.84 1.00 .0037 20 0.84 0.93 .0038 14 0.84 0.90 .0039 13 0.84 0.96 .0040 20 0.88 1.85 .0041 13 0.88 1.14 .0042 11 0.88 1.27 .0043 11 0.88 0.95 .0044 6 0.88 0.97 .0045 20 0.88 0.98 .0046 20 0.88 1.95 .0047 16 0.88 1.03 .0048 5 0.88 0.79 .0049 11 0.88 0.92 .0050 11 0.88 0.92 .0051 20 0.88 1.16 .0052 2 0.88 0.84 .0053 12 0.88 0.90 .0054 14 0.88 1.04 .0055 12 0.88 2.05 .0056 13 0.88 0.92 .0057 11 0.88 0.82 .0058 12 0.88 0.84 .0059 12 0.88 1.04 .0060 2 0.85 0.90 .0061 14 0.85 0.89 .0062 19 0.85 0.76 .0063 3 0.85 0.75 .0064 20 0.85 1.30 .0065 11 0.85 0.83 .0066 20 0.85 0.67 .0067 15 0.85 1.02 .0068 12 0.85 0.82 .0069 20 0.85 1.59 .0070 17 0.85 1.77 .0071 6 0.85 0.91 .0072 16 0.85 1.09 .0073 14 0.85 0.77 .0074 11 0.85 0.86 .0075 17 0.85 0.88 .0076 20 0.85 1.75 .0077 17 0.85 1.19 .0078 20 0.85 1.01 .0079 10 0.85 0.90 .0080 20 0.86 1.19 .0081 16 0.86 0.78 .0082 2 0.86 0.79 .0083 10 0.86 0.86 .0084 2 0.86 0.69 .0085 5 0.86 0.89 .0086 20 0.86 1.80 .0087 19 0.86 0.80 .0088 20 0.86 0.72 .0089 10 0.86 0.85 .0090 14 0.86 0.96 .0091 11 0.86 0.86 .0092 5 0.86 1.01 .0093 12 0.86 0.84 .0094 11 0.86 1.04 .0095 7 0.86 1.08 .0096 20 0.86 0.68 .0097 20 0.86 1.06 .0098 16 0.86 0.88 .0099 11 0.86 0.90 .0100 13 0.85 1.01 .0101 20 0.85 0.69 .0102 20 0.85 1.42 .0103 14 0.85 0.86 .0104 14 0.85 1.21 .0105 20 0.85 1.70 .0106 9 0.85 0.87 .0107 19 0.85 0.77 .0108 10 0.85 1.07 .0109 5 0.85 0.74 .0110 5 0.85 0.75 .0111 12 0.85 0.87 .0112 13 0.85 2.28 .0113 13 0.85 0.91 .0114 3 0.85 0.81 .0115 5 0.85 0.96 .0116 15 0.85 0.85 .0117 14 0.85 1.99 .0118 10 0.85 0.97 .0119 15 0.85 0.95 .0120 12 0.82 0.87 .0121 12 0.82 0.98 .0122 20 0.82 0.70 .0123 13 0.82 0.94 .0124 12 0.82 0.88 .0125 13 0.82 0.78 .0126 8 0.82 0.91 .0127 13 0.82 0.82 .0128 13 0.82 1.93 .0129 8 0.82 0.87 .0130 20 0.82 1.18 .0131 2 0.82 0.84 .0132 13 0.82 2.05 .0133 6 0.82 1.16 .0134 6 0.82 1.06 .0135 14 0.82 0.98 .0136 5 0.82 0.71 .0137 14 0.82 0.87 .0138 7 0.82 0.85 .0139 15 0.82 1.26 .0140 12 0.82 0.96 .0141 20 0.82 0.91 .0142 20 0.82 1.64 .0143 13 0.82 0.89 .0144 12 0.82 1.20 .0145 6 0.82 1.02 .0146 8 0.82 0.94 .0147 15 0.82 0.86 .0148 13 0.82 0.96 .0149 20 0.82 1.63 .0150 19 0.82 0.83 .0151 8 0.82 1.19 .0152 11 0.82 0.99 .0153 3 0.82 0.83 .0154 20 0.82 1.62 .0155 20 0.82 1.33 .0156 9 0.82 1.22 .0157 20 0.82 1.30 .0158 10 0.82 1.13 .0159 18 0.82 0.77 .0160 9 0.82 1.13 .0161 14 0.82 0.95 .0162 14 0.82 0.93 .0163 10 0.82 0.99 .0164 6 0.82 1.17 .0165 3 0.82 0.91 .0166 5 0.82 0.69 .0167 12 0.82 0.97 .0168 5 0.82 0.95 .0169 5 0.82 1.10 .0170 20 0.82 0.74 .0171 13 0.82 0.93 .0172 4 0.82 0.75 .0173 4 0.82 1.03 .0174 3 0.82 0.79 .0175 6 0.82 0.90 .0176 4 0.82 0.97 .0177 7 0.82 0.94 .0178 3 0.82 0.99 .0179 11 0.82 1.12 .0180 6 0.79 0.92 .0181 8 0.79 0.96 .0182 5 0.79 0.95 .0183 14 0.79 0.83 .0184 2 0.79 0.82 .0185 6 0.79 0.81 .0186 5 0.79 0.83 .0187 3 0.79 0.96 .0188 12 0.79 0.93 .0189 6 0.79 1.13 .0190 6 0.79 0.75 .0191 4 0.79 0.77 .0192 4 0.79 0.67 .0193 3 0.79 0.81 .0194 4 0.79 0.90 .0195 4 0.79 0.88 .0196 3 0.79 0.85 .0197 19 0.79 0.60 .0198 3 0.79 0.82 .0199 3 0.79 0.77 .0200 12 0.80 0.96 .0201 4 0.80 1.17 .0202 20 0.80 1.10 .0203 11 0.80 0.88 .0204 4 0.80 0.81 .0205 20 0.80 1.09 .0206 3 0.80 0.86 .0207 20 0.80 1.34 .0208 10 0.80 1.30 .0209 20 0.80 1.45 .0210 12 0.80 0.87 .0211 12 0.80 0.91 .0212 15 0.80 0.94 .0213 5 0.80 0.85 .0214 5 0.80 0.91 .0215 20 0.80 0.86 .0216 16 0.80 2.10 .0217 20 0.80 1.76 .0218 5 0.80 0.87 .0219 12 0.80 0.88 .0220 10 0.78 1.22 .0221 7 0.78 1.01 .0222 13 0.78 0.93 .0223 20 0.78 0.90 .0224 9 0.78 0.42 .0225 6 0.78 0.85 .0226 19 0.78 0.79 .0227 6 0.78 0.70 .0228 20 0.78 0.75 .0229 4 0.78 0.87 .0230 6 0.78 0.86 .0231 6 0.78 1.14 .0232 3 0.78 0.80 .0233 5 0.78 0.86 .0234 9 0.78 1.22 .0235 3 0.78 0.89 .0236 14 0.78 0.82 .0237 13 0.78 0.76 .0238 20 0.78 0.95 .0239 2 0.78 0.94 .0240 16 0.80 1.21 .0241 0 0.80 0.00 .0242 20 0.80 1.04 .0243 8 0.80 1.12 .0244 15 0.80 0.81 .0245 20 0.80 0.62 .0246 11 0.80 1.09 .0247 6 0.80 1.11 .0248 14 0.80 0.86 .0249 12 0.80 0.93 .0250 5 0.80 0.99 .0251 14 0.80 1.47 .0252 12 0.80 0.88 .0253 13 0.80 0.76 .0254 6 0.80 0.79 .0255 9 0.80 1.06 .0256 10 0.80 0.85 .0257 8 0.80 0.92 .0258 11 0.80 0.86 .0259 6 0.80 0.73 .0260 4 0.80 0.85 .0261 5 0.80 0.86 .0262 20 0.80 0.97 .0263 0 0.80 0.00 .0264 7 0.80 1.04 .0265 6 0.80 0.81 .0266 20 0.80 0.59 .0267 7 0.80 0.84 .0268 11 0.80 1.09 .0269 14 0.80 1.10 .0270 10 0.80 1.28 .0271 3 0.80 0.84 .0272 8 0.80 0.87 .0273 7 0.80 1.20 .0274 11 0.80 0.86 .0275 20 0.80 1.05 .0276 4 0.80 0.37 .0277 13 0.80 1.11 .0278 13 0.80 1.64 .0279 12 0.80 0.97 .0280 12 0.82 0.88 .0281 3 0.82 1.08 .0282 12 0.82 1.11 .0283 13 0.82 0.86 .0284 6 0.82 0.92 .0285 4 0.82 0.88 .0286 11 0.82 0.76 .0287 11 0.82 0.90 .0288 9 0.82 0.88 .0289 13 0.82 0.93 .0290 17 0.82 0.76 .0291 20 0.82 0.70 .0292 0 0.82 0.00 .0293 15 0.82 0.94 .0294 12 0.82 0.89 .0295 5 0.82 0.77 .0296 12 0.82 0.96 .0297 12 0.82 0.87 .0298 20 0.82 1.08 .0299 12 0.82 0.86 .0300 12 0.84 0.81 .0301 5 0.84 0.95 .0302 9 0.84 0.88 .0303 16 0.84 1.81 .0304 5 0.84 0.97 .0305 14 0.84 0.81 .0306 10 0.84 1.00 .0307 4 0.84 0.64 .0308 3 0.84 0.78 .0309 14 0.84 0.82 .0310 16 0.84 0.90 .0311 0 0.84 0.00 .0312 20 0.84 1.93 .0313 20 0.84 0.91 .0314 12 0.84 0.77 .0315 20 0.84 1.05 .0316 20 0.84 1.57 .0317 11 0.84 0.86 .0318 13 0.84 0.84 .0319 3 0.84 0.49 EXTRACT_IMAGE: sdR-r2-00034755.fit: masked 4276 pixels SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 0 median sigma(arc)= 0.92538186 sigma(sky)= 1.1918842 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 0 sigma^2(add)= 0.56425437 +/- 0.43381424 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 1 median sigma(arc)= 0.91722256 sigma(sky)= -954.66372 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 1 sigma^2(add)= 911381.97 +/- 2394055.6 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 2 median sigma(arc)= 0.89494914 sigma(sky)= -8523.4460 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 2 sigma^2(add)= 72794146. +/- 2.4842820e+08 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 3 median sigma(arc)= 0.86115209 sigma(sky)= 1.4760463 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 3 sigma^2(add)= 1.4372563 +/- 0.58630534 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 4 median sigma(arc)= 0.85928203 sigma(sky)= 1.3396321 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 4 sigma^2(add)= 1.0567076 +/- 0.59736286 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 5 median sigma(arc)= 0.83485069 sigma(sky)= -0.28727088 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 5 sigma^2(add)= 0.36431524 +/- 612426.12 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 6 median sigma(arc)= 0.83625139 sigma(sky)= 0.93872811 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 6 sigma^2(add)= 0.17404536 +/- 0.24058084 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 7 median sigma(arc)= 0.83681156 sigma(sky)= 0.93772097 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 7 sigma^2(add)= 0.15993662 +/- 0.33327815 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 8 median sigma(arc)= 0.86942398 sigma(sky)= 0.93317375 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 8 sigma^2(add)= 0.11492901 +/- 0.16957073 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 9 median sigma(arc)= 0.87234140 sigma(sky)= 0.93957351 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 9 sigma^2(add)= 0.12272039 +/- 0.30921454 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 10 median sigma(arc)= 0.92983628 sigma(sky)= 0.89348180 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 10 sigma^2(add)= -0.066072245 +/- 0.19397549 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 11 median sigma(arc)= 0.93522520 sigma(sky)= 0.99294334 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Line # 11 sigma^2(add)= 0.11178770 +/- 0.26659953 SKYLINE_DISPERSION: sdR-r2-00034755.fit: Flexure sigma^2(add) = 0.068635414 +/- 0.092591280 TRACE# NPOINTS NREJECT 0 2048 0 1 2048 0 2 2048 0 3 2048 0 4 2048 0 5 2048 0 6 2048 0 7 2048 0 8 2048 0 9 2048 0 10 2048 0 11 2048 0 12 2048 0 13 2048 0 14 2048 0 15 2048 0 16 2048 0 17 2048 0 18 2048 0 19 2048 0 20 2048 0 21 2048 0 22 2048 0 23 2048 0 24 2048 0 25 2048 0 26 2048 0 27 2048 0 28 2048 0 29 2048 0 30 2048 0 31 2048 0 32 2048 0 33 2048 0 34 2048 0 35 2048 0 36 2048 0 37 2048 0 38 2048 0 39 2048 0 40 2048 0 41 2048 0 42 2048 0 43 2048 0 44 2048 0 45 2048 0 46 2048 0 47 2048 0 48 2048 0 49 2048 0 50 2048 0 51 2048 0 52 2048 0 53 2048 0 54 2048 0 55 2048 0 56 2048 0 57 2048 0 58 2048 0 59 2048 0 60 2048 0 61 2048 0 62 2048 0 63 2048 0 64 2048 0 65 2048 0 66 2048 0 67 2048 0 68 2048 0 69 2048 0 70 2048 0 71 2048 0 72 2048 0 73 2048 0 74 2048 0 75 2048 0 76 2048 0 77 2048 0 78 2048 0 79 2048 0 80 2048 0 81 2048 0 82 2048 0 83 2048 0 84 2048 0 85 2048 0 86 2048 0 87 2048 0 88 2048 0 89 2048 0 90 2048 0 91 2048 0 92 2048 0 93 2048 0 94 2048 0 95 2048 0 96 2048 0 97 2048 0 98 2048 0 99 2048 0 100 2048 0 101 2048 0 102 2048 0 103 2048 0 104 2048 0 105 2048 0 106 2048 0 107 2048 0 108 2048 0 109 2048 0 110 2048 0 111 2048 0 112 2048 0 113 2048 0 114 2048 0 115 2048 0 116 2048 0 117 2048 0 118 2048 0 119 2048 0 120 2048 0 121 2048 0 122 2048 0 123 2048 0 124 2048 0 125 2048 0 126 2048 0 127 2048 0 128 2048 0 129 2048 0 130 2048 0 131 2048 0 132 2048 0 133 2048 0 134 2048 0 135 2048 0 136 2048 0 137 2048 0 138 2048 0 139 2048 0 140 2048 0 141 2048 0 142 2048 0 143 2048 0 144 2048 0 145 2048 0 146 2048 0 147 2048 0 148 2048 0 149 2048 0 150 2048 0 151 2048 0 152 2048 0 153 2048 0 154 2048 0 155 2048 0 156 2048 0 157 2048 0 158 2048 0 159 2048 0 160 2048 0 161 2048 0 162 2048 0 163 2048 0 164 2048 0 165 2048 0 166 2048 0 167 2048 0 168 2048 0 169 2048 0 170 2048 0 171 2048 0 172 2048 0 173 2048 0 174 2048 0 175 2048 0 176 2048 0 177 2048 0 178 2048 0 179 2048 0 180 2048 0 181 2048 0 182 2048 0 183 2048 0 184 2048 0 185 2048 0 186 2048 0 187 2048 0 188 2048 0 189 2048 0 190 2048 0 191 2048 0 192 2048 0 193 2048 0 194 2048 0 195 2048 0 196 2048 0 197 2048 0 198 2048 0 199 2048 0 200 2048 0 201 2048 0 202 2048 0 203 2048 0 204 2048 0 205 2048 0 206 2048 0 207 2048 0 208 2048 0 209 2048 0 210 2048 0 211 2048 0 212 2048 0 213 2048 0 214 2048 0 215 2048 0 216 2048 0 217 2048 0 218 2048 0 219 2048 0 220 2048 0 221 2048 0 222 2048 0 223 2048 0 224 2048 0 225 2048 0 226 2048 0 227 2048 0 228 2048 0 229 2048 0 230 2048 0 231 2048 0 232 2048 0 233 2048 0 234 2048 0 235 2048 0 236 2048 0 237 2048 0 238 2048 0 239 2048 0 240 2048 0 241 2048 0 242 2048 0 243 2048 0 244 2048 0 245 2048 0 246 2048 0 247 2048 0 248 2048 0 249 2048 0 250 2048 0 251 2048 0 252 2048 0 253 2048 0 254 2048 0 255 2048 0 256 2048 0 257 2048 0 258 2048 0 259 2048 0 260 2048 0 261 2048 0 262 2048 0 263 2048 0 264 2048 0 265 2048 0 266 2048 0 267 2048 0 268 2048 0 269 2048 0 270 2048 0 271 2048 0 272 2048 0 273 2048 0 274 2048 0 275 2048 0 276 2048 0 277 2048 0 278 2048 0 279 2048 0 280 2048 0 281 2048 0 282 2048 0 283 2048 0 284 2048 0 285 2048 0 286 2048 0 287 2048 0 288 2048 0 289 2048 0 290 2048 0 291 2048 0 292 2048 0 293 2048 0 294 2048 0 295 2048 0 296 2048 0 297 2048 0 298 2048 0 299 2048 0 300 2048 0 301 2048 0 302 2048 0 303 2048 0 304 2048 0 305 2048 0 306 2048 0 307 2048 0 308 2048 0 309 2048 0 310 2048 0 311 2048 0 312 2048 0 313 2048 0 314 2048 0 315 2048 0 316 2048 0 317 2048 0 318 2048 0 319 2048 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 EXTRACT_OBJECT: sdR-r2-00034755.fit: Not applying skyline adjusted line widths EXTRACT_OBJECT: sdR-r2-00034755.fit: Heliocentric correction = 22.889127 km/s FITVACSET: sdR-r2-00034755.fit: Tweaking to sky lines FITVACSET: sdR-r2-00034755.fit: Converting wavelengths to vacuum TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 TRACE# NPOINTS NREJECT 0 34 0 1 34 0 2 34 0 3 34 0 4 34 0 5 34 0 6 34 0 7 34 0 8 34 0 9 34 0 10 34 0 11 34 0 12 34 0 13 34 0 14 34 0 15 34 0 16 34 0 17 34 0 18 34 0 19 34 0 20 34 0 21 34 0 22 34 0 23 34 0 24 34 0 25 34 0 26 34 0 27 34 0 28 34 0 29 34 0 30 34 0 31 34 0 32 34 0 33 34 0 34 34 0 35 34 0 36 34 0 37 34 0 38 34 0 39 34 0 40 34 0 41 34 0 42 34 0 43 34 0 44 34 0 45 34 0 46 34 0 47 34 0 48 34 0 49 34 0 50 34 0 51 34 0 52 34 0 53 34 0 54 34 0 55 34 0 56 34 0 57 34 0 58 34 0 59 34 0 60 34 0 61 34 0 62 34 0 63 34 0 64 34 0 65 34 0 66 34 0 67 34 0 68 34 0 69 34 0 70 34 0 71 34 0 72 34 0 73 34 0 74 34 0 75 34 0 76 34 0 77 34 0 78 34 0 79 34 0 80 34 0 81 34 0 82 34 0 83 34 0 84 34 0 85 34 0 86 34 0 87 34 0 88 34 0 89 34 0 90 34 0 91 34 0 92 34 0 93 34 0 94 34 0 95 34 0 96 34 0 97 34 0 98 34 0 99 34 0 100 34 0 101 34 0 102 34 0 103 34 0 104 34 0 105 34 0 106 34 0 107 34 0 108 34 0 109 34 0 110 34 0 111 34 0 112 34 0 113 34 0 114 34 0 115 34 0 116 34 0 117 34 0 118 34 0 119 34 0 120 34 0 121 34 0 122 34 0 123 34 0 124 34 0 125 34 0 126 34 0 127 34 0 128 34 0 129 34 0 130 34 0 131 34 0 132 34 0 133 34 0 134 34 0 135 34 0 136 34 0 137 34 0 138 34 0 139 34 0 140 34 0 141 34 0 142 34 0 143 34 0 144 34 0 145 34 0 146 34 0 147 34 0 148 34 0 149 34 0 150 34 0 151 34 0 152 34 0 153 34 0 154 34 0 155 34 0 156 34 0 157 34 0 158 34 0 159 34 0 160 34 0 161 34 0 162 34 0 163 34 0 164 34 0 165 34 0 166 34 0 167 34 0 168 34 0 169 34 0 170 34 0 171 34 0 172 34 0 173 34 0 174 34 0 175 34 0 176 34 0 177 34 0 178 34 0 179 34 0 180 34 0 181 34 0 182 34 0 183 34 0 184 34 0 185 34 0 186 34 0 187 34 0 188 34 0 189 34 0 190 34 0 191 34 0 192 34 0 193 34 0 194 34 0 195 34 0 196 34 0 197 34 0 198 34 0 199 34 0 200 34 0 201 34 0 202 34 0 203 34 0 204 34 0 205 34 0 206 34 0 207 34 0 208 34 0 209 34 0 210 34 0 211 34 0 212 34 0 213 34 0 214 34 0 215 34 0 216 34 0 217 34 0 218 34 0 219 34 0 220 34 0 221 34 0 222 34 0 223 34 0 224 34 0 225 34 0 226 34 0 227 34 0 228 34 0 229 34 0 230 34 0 231 34 0 232 34 0 233 34 0 234 34 0 235 34 0 236 34 0 237 34 0 238 34 0 239 34 0 240 34 0 241 34 0 242 34 0 243 34 0 244 34 0 245 34 0 246 34 0 247 34 0 248 34 0 249 34 0 250 34 0 251 34 0 252 34 0 253 34 0 254 34 0 255 34 0 256 34 0 257 34 0 258 34 0 259 34 0 260 34 0 261 34 0 262 34 0 263 34 0 264 34 0 265 34 0 266 34 0 267 34 0 268 34 0 269 34 0 270 34 0 271 34 0 272 34 0 273 34 0 274 34 0 275 34 0 276 34 0 277 34 0 278 34 0 279 34 0 280 34 0 281 34 0 282 34 0 283 34 0 284 34 0 285 34 0 286 34 0 287 34 0 288 34 0 289 34 0 290 34 0 291 34 0 292 34 0 293 34 0 294 34 0 295 34 0 296 34 0 297 34 0 298 34 0 299 34 0 300 34 0 301 34 0 302 34 0 303 34 0 304 34 0 305 34 0 306 34 0 307 34 0 308 34 0 309 34 0 310 34 0 311 34 0 312 34 0 313 34 0 314 34 0 315 34 0 316 34 0 317 34 0 318 34 0 319 34 0 XY2TRACESET: sdR-r2-00034755.fit: Total rejected = 0 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SMOOTH_SUPERFLAT: sdR-r2-00034755.fit: Number of pixels rejected: 4 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034755.fit: Number of sky fibers = 18 SKYSUBTRACT: sdR-r2-00034755.fit: Airmass range = 1.21605 1.25845 SKYSUBTRACT: sdR-r2-00034755.fit: Discarding 0.00374349 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 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of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034755.fit: Median sky-residual chi2 = 2.83335 SKYSUBTRACT: sdR-r2-00034755.fit: Max sky-residual chi2 = 18.2782 EXTRACT_OBJECT: sdR-r2-00034755.fit: Calling skysubtract again; masked skyfibers 131 281 284 SKYSUBTRACT: sdR-r2-00034755.fit: Number of sky fibers = 15 SKYSUBTRACT: sdR-r2-00034755.fit: Airmass range = 1.21605 1.25845 SKYSUBTRACT: sdR-r2-00034755.fit: Discarding 0.00351562 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, 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of 2046 Bin 2005 of 2046 Bin 2006 of 2046 Bin 2007 of 2046 Bin 2008 of 2046 Bin 2009 of 2046 Bin 2010 of 2046 Bin 2011 of 2046 Bin 2012 of 2046 Bin 2013 of 2046 Bin 2014 of 2046 Bin 2015 of 2046 Bin 2016 of 2046 Bin 2017 of 2046 Bin 2018 of 2046 Bin 2019 of 2046 Bin 2020 of 2046 Bin 2021 of 2046 Bin 2022 of 2046 Bin 2023 of 2046 Bin 2024 of 2046 Bin 2025 of 2046 Bin 2026 of 2046 Bin 2027 of 2046 Bin 2028 of 2046 Bin 2029 of 2046 Bin 2030 of 2046 Bin 2031 of 2046 Bin 2032 of 2046 Bin 2033 of 2046 Bin 2034 of 2046 Bin 2035 of 2046 Bin 2036 of 2046 Bin 2037 of 2046 Bin 2038 of 2046 Bin 2039 of 2046 Bin 2040 of 2046 Bin 2041 of 2046 Bin 2042 of 2046 Bin 2043 of 2046 Bin 2044 of 2046 Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034755.fit: Median sky-residual chi2 = 1.62215 SKYSUBTRACT: sdR-r2-00034755.fit: Max sky-residual chi2 = 11.7864 QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 177 = 16.2345 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 181 = 16.8432 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 207 = 25.8266 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 214 = 21.8406 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 236 = -53.2383 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 258 = 18.9619 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 261 = -12.5526 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 308 = -60.0067 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Median sky-residual chi = 1.31062 QAPLOT_SKYSUB: sdR-r2-00034755.fit: Max sky-residual chi = 3.34812 at 9251.0569 Ang SKYSUBTRACT: sdR-r2-00034755.fit: Number of sky fibers = 15 SKYSUBTRACT: sdR-r2-00034755.fit: Airmass range = 1.21605 1.25845 SKYSUBTRACT: sdR-r2-00034755.fit: Discarding 0.00351562 (fractional) of the sky pixels as bad Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Bin 0 of 2046 Bin 1 of 2046 Bin 2 of 2046 Bin 3 of 2046 Bin 4 of 2046 Bin 5 of 2046 Bin 6 of 2046 Bin 7 of 2046 Bin 8 of 2046 Bin 9 of 2046 Bin 10 of 2046 Bin 11 of 2046 Bin 12 of 2046 Bin 13 of 2046 Bin 14 of 2046 Bin 15 of 2046 Bin 16 of 2046 Bin 17 of 2046 Bin 18 of 2046 Bin 19 of 2046 Bin 20 of 2046 Bin 21 of 2046 Bin 22 of 2046 Bin 23 of 2046 Bin 24 of 2046 Bin 25 of 2046 Bin 26 of 2046 Bin 27 of 2046 Bin 28 of 2046 Bin 29 of 2046 Bin 30 of 2046 Bin 31 of 2046 Bin 32 of 2046 Bin 33 of 2046 Bin 34 of 2046 Bin 35 of 2046 Bin 36 of 2046 Bin 37 of 2046 Bin 38 of 2046 Bin 39 of 2046 Bin 40 of 2046 Bin 41 of 2046 Bin 42 of 2046 Bin 43 of 2046 Bin 44 of 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Bin 2045 of 2046 highest breakpoint does not cover highest x value, changing SKYSUBTRACT: sdR-r2-00034755.fit: Median sky-residual chi2 = 1.45118 SKYSUBTRACT: sdR-r2-00034755.fit: Max sky-residual chi2 = 24.6755 QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 207 = 19.1416 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 214 = 16.6873 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 236 = -51.5305 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 258 = 29.1037 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 266 = 19.8801 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Warning: Median sky-sub flux in sky fiber 308 = -25.0886 electrons QAPLOT_SKYSUB: sdR-r2-00034755.fit: Median sky-residual chi = 1.23002 QAPLOT_SKYSUB: sdR-r2-00034755.fit: Max sky-residual chi = 3.38138 at 6299.8872 Ang % CURVEFIT: Failed to converge after 20 iterations. QAPLOT_SKYLINE: sdR-r2-00034755.fit: Airmass range = 1.22 1.26 QAPLOT_SKYLINE: sdR-r2-00034755.fit: Flux dispersion for skyline 7343.0 = 2.47 % QAPLOT_SKYLINE: sdR-r2-00034755.fit: Airmass range = 1.22 1.26 QAPLOT_SKYLINE: sdR-r2-00034755.fit: Flux dispersion for skyline 8888.3 = 5.53 % SPADD_GUIDERINFO: sdR-r2-00034755.fit: Number of guider frames = 11 SPREDUCE: sdR-r2-00034755.fit: Elapsed time = 197. seconds MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Binary table. 5 columns by 1 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Int*4 MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 4 columns by 1 rows. MRDFITS: Binary table. 21 columns by 320 rows. MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Image array (2048,320) Type=Real*4 MRDFITS: Binary table. 6 columns by 1 rows. MRDFITS: Image array (2048,2048) Type=Real*4 MRDFITS: Extension past EOF SPREDUCE: Elapsed time = 1441. seconds SPREDUCE2D: Time to reduce camera r2 = 1441. seconds SPREDUCE2D: Time to reduce all cameras = 5158. seconds SPREDUCE2D: Max memory usage = 496.0 MB SPREDUCE2D: Total time for SPREDUCE2D = 5158. seconds SPREDUCE2D: Successful completion of SPREDUCE2D at Fri Feb 5 12:08:21 2010 % Program caused arithmetic error: Floating divide by 0 % Program caused arithmetic error: Floating underflow % Program caused arithmetic error: Floating overflow % Program caused arithmetic error: Floating illegal operand % Compiled module: SPCOMBINE_V5. SPCOMBINE_V5: Log file spDiagcomb-2338-53683.log opened Fri Feb 5 12:08:22 2010 SPCOMBINE_V5: IDL version: x86_64 linux unix linux 6.4 Apr 26 2007 64 64 SPCOMBINE_V5: UNAME: Linux hammer5.astro.Princeton.EDU 2.6.18-128.7.1.el5 #1 SMP Mon Aug 24 08:21:56 EDT 2009 x86_64 x86_64 x86_64 GNU/Linux % Compiled module: DFPSPLOT. SPCOMBINE_V5: Plot file spDiagcomb-2338-53683.ps SPCOMBINE_V5: Plan file spPlancomb-2338-53683.par SPCOMBINE_V5: DOCAMS = b1 b2 r1 r2 SPCOMBINE_V5: idlspec2d version NOCVS:v5_3 SPCOMBINE_V5: idlutils version v5_3_0 SPCOMBINE_V5: Best exposure = 34590 score = 0.0190446 SPCOMBINE_V5: WARNING: Discarding science exposure # 34587 with score= 0.000450574 SPCOMBINE_V5: WARNING: Discarding science exposure # 34588 with score= 0.00223839 SPCOMBINE_V5: WARNING: Discarding science exposure # 34675 with score= 0.000327334 SPCOMBINE_V5: WARNING: Discarding science exposure # 34752 with score= 0.00304664 SPCOMBINE_V5: WARNING: Discarding science exposure # 34753 with score= 0.000371880 SPCOMBINE_V5: WARNING: Discarding science exposure # 34754 with score= 0.000314839 SPCOMBINE_V5: WARNING: Discarding science exposure # 34755 with score= 0.00141607 SPCOMBINE_V5: % Compiled module: SPFLUX_V5. % Compiled module: SPFRAME_READ. SPFLUX_V5: using flux calibration stars: 15 91 197 251 260 266 % Compiled module: TRACESET_TRIM. % Compiled module: CORRECT_DLAM. % Compiled module: SKYMASK. % Compiled module: SPFLUX_MASKLINES. % Compiled module: SPFLUX_READ_KURUCZ. SPFLUX_READ_KURUCZ: Fiber 16: Reading Kurucz models SPFLUX_READ_KURUCZ: Fiber 16: Remapping Kurucz models to log-wavelengths % Compiled module: WAVEVECTOR. % Compiled module: REBIN_SPECTRUM. SPFLUX_READ_KURUCZ: Fiber 16: Convolving Kurucz models with SDSS pixel size SPFLUX_READ_KURUCZ: Fiber 16: Convolving Kurucz models with dispersions Grid 0 of 21 Grid 1 of 21 Grid 2 of 21 Grid 3 of 21 Grid 4 of 21 Grid 5 of 21 Grid 6 of 21 Grid 7 of 21 Grid 8 of 21 Grid 9 of 21 Grid 10 of 21 Grid 11 of 21 Grid 12 of 21 Grid 13 of 21 Grid 14 of 21 Grid 15 of 21 Grid 16 of 21 Grid 17 of 21 Grid 18 of 21 Grid 19 of 21 Grid 20 of 21 % Compiled module: FIND_NMINIMA. % Compiled module: MPFITPEAK. SPFLUX_BESTMODEL: Fiber 16: Best-fit velocity for std star = 3.2629661 km/s SPFLUX_BESTMODEL: Fiber 16: Best-fit total chi2/DOF = 0.650203 SPFLUX_BESTMODEL: Fiber 16: Best-fit line chi2/DOF = 1.0115536 SPFLUX_BESTMODEL: Fiber 16: Full median S/N = 25.3656 SPFLUX_BESTMODEL: Fiber 16: Line median S/N = 19.5142 % Compiled module: DJS_XYOUTS. % Compiled module: EXT_ODONNELL. % Compiled module: EXT_CCM. % Compiled module: FILTER_THRU. % Compiled module: VACTOAIR. % Compiled module: LINTERP. % Compiled module: ZPARCHECK. % Compiled module: TABINV. % Compiled module: TAG_EXIST. SPFLUX_BESTMODEL: Fiber 92: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 92: Warning: Error code -7 fitting std star SPFLUX_BESTMODEL: Fiber 92: Best-fit total chi2/DOF = 0.00000 SPFLUX_BESTMODEL: Fiber 92: Best-fit line chi2/DOF = 0.0000000 SPFLUX_BESTMODEL: Fiber 92: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 92: Line median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 198: Best-fit velocity for std star = -35.271431 km/s SPFLUX_BESTMODEL: Fiber 198: Best-fit total chi2/DOF = 0.568188 SPFLUX_BESTMODEL: Fiber 198: Best-fit line chi2/DOF = 1.3685920 SPFLUX_BESTMODEL: Fiber 198: Full median S/N = 30.4070 SPFLUX_BESTMODEL: Fiber 198: Line median S/N = 28.3961 SPFLUX_BESTMODEL: Fiber 252: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 252: Warning: Error code -7 fitting std star SPFLUX_BESTMODEL: Fiber 252: Best-fit total chi2/DOF = 0.00000 SPFLUX_BESTMODEL: Fiber 252: Best-fit line chi2/DOF = 0.0000000 SPFLUX_BESTMODEL: Fiber 252: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 252: Line median S/N = -0.00000 SPFLUX_BESTMODEL: Fiber 261: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 261: Warning: Error code -7 fitting std star SPFLUX_BESTMODEL: Fiber 261: Best-fit total chi2/DOF = 0.00000 SPFLUX_BESTMODEL: Fiber 261: Best-fit line chi2/DOF = 0.0000000 SPFLUX_BESTMODEL: Fiber 261: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 261: Line median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 267: Best-fit velocity for std star = 11.487358 km/s SPFLUX_BESTMODEL: Fiber 267: Best-fit total chi2/DOF = 0.828230 SPFLUX_BESTMODEL: Fiber 267: Best-fit line chi2/DOF = 1.3154215 SPFLUX_BESTMODEL: Fiber 267: Full median S/N = 24.3571 SPFLUX_BESTMODEL: Fiber 267: Line median S/N = 18.9559 SPFLUX_V5: Warning: Rejecting std star in fiber = 92 with too many IVAR=0 pixels in spFrame-b1-00034589.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 252 with too many IVAR=0 pixels in spFrame-b1-00034589.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 261 with too many IVAR=0 pixels in spFrame-b1-00034589.fits SPFLUX_V5: Iteration # 1 % Compiled module: COMBINE1FIBER. highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing SPFLUX_V5: Rejected 3 of 6 std stars % Compiled module: SPFLUX_BYEXP. % Compiled module: SPFLUX_BASESPLINE. % Compiled module: FILLSPAN. % Compiled module: SPFLUX_FITTEMPLATES. % Compiled module: UNIXFIND. MRDFITS: Null image, NAXIS=0 SPFLUX_FITTEMPLATES: spFrame-b1-00034589.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00034589.fits: Min/max fluxcalib = 76.9211 594.327 MRDFITS: Null image, NAXIS=0 MRDFITS: Binary table. 5 columns by 1 rows. SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: HELIO_RV correction of 23.5977 applied to templates. MRDFITS: Image array (2,2) Type=Real*4 MRDFITS: Binary table. 5 columns by 1 rows. SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: HELIO_RV correction of 23.5977 applied to templates. MRDFITS: Image array (9,2) Type=Real*8 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 0 fit: 3.53898e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.15053 1.10788 0.498510 1.65985 1.15513 1.46322 1.71648 1.66993 1.58589 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 1 fit: 3.53326e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.14374 1.10499 0.459347 1.39617 1.14687 1.35739 1.65180 1.67597 1.57653 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 2 fit: 3.53171e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13952 1.10351 0.441414 1.33717 1.14910 1.27428 1.62349 1.67875 1.57224 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 3 fit: 3.53090e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13691 1.10336 0.430201 1.32248 1.14033 1.20760 1.61121 1.68038 1.57017 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 4 fit: 3.53058e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13521 1.10327 0.439768 1.31937 1.14392 1.15380 1.60580 1.68119 1.56921 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 5 fit: 3.53037e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13416 1.10323 0.433344 1.32030 1.14912 1.11360 1.60328 1.68162 1.56875 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 6 fit: 3.53025e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13347 1.10321 0.446586 1.31983 1.14062 1.08180 1.60200 1.68188 1.56850 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 7 fit: 3.53017e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13299 1.10320 0.442765 1.31849 1.14085 1.05670 1.60142 1.68207 1.56842 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 8 fit: 3.53009e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13269 1.10319 0.435304 1.31855 1.14406 1.03940 1.60128 1.68213 1.56840 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 9 fit: 3.53006e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13249 1.10319 0.431713 1.31813 1.15332 1.02317 1.60108 1.68215 1.56836 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 10 fit: 3.53003e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13232 1.10319 0.437793 1.31920 1.14607 1.01262 1.60106 1.68215 1.56836 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 11 fit: 3.53001e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13225 1.10319 0.433963 1.31897 1.13897 1.00718 1.60095 1.68216 1.56836 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 12 fit: 3.53000e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13225 1.10319 0.433963 1.31897 1.13897 1.00718 1.60095 1.68216 1.56836 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: template niter, coeffs: 12 1.13225 1.10319 0.433963 1.31897 1.13897 1.00718 1.60095 1.68216 1.56836 SPFLUX_V5: spFrame-r1-00034589.fits: Min/max fluxcalib = 58.3842 639.952 MRDFITS: Null image, NAXIS=0 SPFLUX_FITTEMPLATES: spFrame-b1-00034590.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00034590.fits: Min/max fluxcalib = 63.1662 528.584 MRDFITS: Null image, NAXIS=0 MRDFITS: Binary table. 5 columns by 1 rows. SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: HELIO_RV correction of 23.6117 applied to templates. MRDFITS: Image array (2,2) Type=Real*4 MRDFITS: Binary table. 5 columns by 1 rows. SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: HELIO_RV correction of 23.6117 applied to templates. MRDFITS: Image array (9,2) Type=Real*8 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 0 fit: 3.80930e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.11941 1.13142 0.291830 1.64111 0.439774 1.90872 1.81489 1.74071 1.62009 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 1 fit: 3.75189e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.14525 1.12638 0.344045 1.30513 0.412122 1.78719 1.74052 1.73726 1.58888 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 2 fit: 3.74783e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.15988 1.12518 0.368595 1.22879 0.436233 1.69334 1.70874 1.73519 1.57443 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 3 fit: 3.74810e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.16817 1.12453 0.367656 1.21214 0.392893 1.62286 1.69494 1.73392 1.56788 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 4 fit: 3.74872e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17286 1.12417 0.363356 1.20766 0.436472 1.56912 1.68884 1.73310 1.56489 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 5 fit: 3.74913e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17548 1.12398 0.363132 1.20688 0.449591 1.52841 1.68614 1.73266 1.56348 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 6 fit: 3.74934e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17696 1.12387 0.364753 1.20795 0.414823 1.49831 1.68486 1.73242 1.56287 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 7 fit: 3.74945e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17776 1.12381 0.368375 1.20628 0.444510 1.47812 1.68427 1.73235 1.56258 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 8 fit: 3.74947e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17819 1.12378 0.373388 1.20724 0.450348 1.46237 1.68377 1.73220 1.56241 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 9 fit: 3.74950e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17843 1.12376 0.372052 1.20801 0.437975 1.44781 1.68346 1.73212 1.56241 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 10 fit: 3.74949e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17854 1.12375 0.370512 1.20716 0.426794 1.43602 1.68338 1.73205 1.56236 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 11 fit: 3.74948e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17858 1.12375 0.360817 1.20879 0.440220 1.42959 1.68361 1.73204 1.56233 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 12 fit: 3.74949e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17859 1.12374 0.367419 1.20801 0.438285 1.42243 1.68352 1.73202 1.56228 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 13 fit: 3.74947e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17857 1.12374 0.366046 1.20627 0.432733 1.41804 1.68339 1.73201 1.56229 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 14 fit: 3.74946e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17857 1.12374 0.367418 1.20629 0.435485 1.41547 1.68345 1.73200 1.56228 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 15 fit: 3.74945e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17857 1.12374 0.375149 1.20720 0.425522 1.41415 1.68346 1.73197 1.56227 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: iter: 16 fit: 3.74945e-06 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: scales: 1.17857 1.12374 0.375149 1.20720 0.425522 1.41415 1.68346 1.73197 1.56227 SPFLUX_FITTEMPLATES: spFrame-r1-00034590.fits: template niter, coeffs: 16 1.17857 1.12374 0.375149 1.20720 0.425522 1.41415 1.68346 1.73197 1.56227 SPFLUX_V5: spFrame-r1-00034590.fits: Min/max fluxcalib = 48.2838 554.510 SPCOMBINE_V5: SPFLUX_V5: using flux calibration stars: 226 254 263 292 311 316 SPFLUX_BESTMODEL: Fiber 547: Best-fit velocity for std star = -51.268842 km/s SPFLUX_BESTMODEL: Fiber 547: Best-fit total chi2/DOF = 0.408177 SPFLUX_BESTMODEL: Fiber 547: Best-fit line chi2/DOF = 1.3287228 SPFLUX_BESTMODEL: Fiber 547: Full median S/N = 32.1394 SPFLUX_BESTMODEL: Fiber 547: Line median S/N = 31.5499 SPFLUX_BESTMODEL: Fiber 575: Best-fit velocity for std star = -21.845394 km/s SPFLUX_BESTMODEL: Fiber 575: Best-fit total chi2/DOF = 0.743923 SPFLUX_BESTMODEL: Fiber 575: Best-fit line chi2/DOF = 2.3141054 SPFLUX_BESTMODEL: Fiber 575: Full median S/N = 25.5057 SPFLUX_BESTMODEL: Fiber 575: Line median S/N = 21.3338 SPFLUX_BESTMODEL: Fiber 584: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 584: Warning: Error code -7 fitting std star SPFLUX_BESTMODEL: Fiber 584: Best-fit total chi2/DOF = 0.00000 SPFLUX_BESTMODEL: Fiber 584: Best-fit line chi2/DOF = 0.0000000 SPFLUX_BESTMODEL: Fiber 584: Full median S/N = -0.00000 SPFLUX_BESTMODEL: Fiber 584: Line median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 613: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 613: Warning: Error code -7 fitting std star SPFLUX_BESTMODEL: Fiber 613: Best-fit total chi2/DOF = 0.00000 SPFLUX_BESTMODEL: Fiber 613: Best-fit line chi2/DOF = 0.0000000 SPFLUX_BESTMODEL: Fiber 613: Full median S/N = -0.00000 SPFLUX_BESTMODEL: Fiber 613: Line median S/N = -0.00000 SPFLUX_BESTMODEL: Fiber 632: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 632: Warning: Error code -7 fitting std star SPFLUX_BESTMODEL: Fiber 632: Best-fit total chi2/DOF = 0.00000 SPFLUX_BESTMODEL: Fiber 632: Best-fit line chi2/DOF = 0.0000000 SPFLUX_BESTMODEL: Fiber 632: Full median S/N = -0.00000 SPFLUX_BESTMODEL: Fiber 632: Line median S/N = -0.00000 SPFLUX_BESTMODEL: Fiber 637: Best-fit velocity for std star = -22.756769 km/s SPFLUX_BESTMODEL: Fiber 637: Best-fit total chi2/DOF = 0.651523 SPFLUX_BESTMODEL: Fiber 637: Best-fit line chi2/DOF = 1.8132755 SPFLUX_BESTMODEL: Fiber 637: Full median S/N = 32.4241 SPFLUX_BESTMODEL: Fiber 637: Line median S/N = 31.9950 SPFLUX_V5: Warning: Rejecting std star in fiber = 584 with too many IVAR=0 pixels in spFrame-b2-00034589.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 613 with too many IVAR=0 pixels in spFrame-b2-00034589.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 632 with too many IVAR=0 pixels in spFrame-b2-00034589.fits SPFLUX_V5: Iteration # 1 highest breakpoint does not cover highest x value, changing highest breakpoint does not cover highest x value, changing SPFLUX_V5: Rejected 3 of 6 std stars MRDFITS: Null image, NAXIS=0 SPFLUX_FITTEMPLATES: spFrame-b2-00034589.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b2-00034589.fits: Min/max fluxcalib = 140.690 842.065 MRDFITS: Null image, NAXIS=0 MRDFITS: Binary table. 5 columns by 1 rows. SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: HELIO_RV correction of 23.1774 applied to templates. MRDFITS: Image array (2,2) Type=Real*4 MRDFITS: Binary table. 5 columns by 1 rows. SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: HELIO_RV correction of 23.1774 applied to templates. MRDFITS: Image array (9,2) Type=Real*8 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 0 fit: 2.93985e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 0.979347 1.08281 0.349091 1.40468 0.00000 0.167636 2.21267 1.48658 1.34732 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 1 fit: 2.39736e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.01591 1.08077 0.536311 1.35263 0.00000 0.257170 1.83450 1.42831 1.36071 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 2 fit: 2.32870e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.03846 1.07988 0.583111 1.34380 0.00000 0.317542 1.71725 1.39647 1.36345 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 3 fit: 2.31401e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.05244 1.07920 0.591466 1.34235 0.00000 0.359589 1.68128 1.37909 1.36468 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 4 fit: 2.30969e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.06115 1.07870 0.597933 1.34216 0.00000 0.395591 1.67027 1.36952 1.36525 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 5 fit: 2.30821e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.06660 1.07831 0.598487 1.34169 0.00000 0.421687 1.66690 1.36431 1.36543 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 6 fit: 2.30768e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07002 1.07802 0.596137 1.34132 0.00000 0.442405 1.66594 1.36140 1.36552 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 7 fit: 2.30749e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07216 1.07781 0.601136 1.34147 0.00000 0.459833 1.66575 1.35987 1.36562 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 8 fit: 2.30762e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07352 1.07807 0.598230 1.34225 0.00000 0.472456 1.66575 1.35905 1.36570 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 9 fit: 2.30754e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07439 1.07784 0.595108 1.34182 0.00000 0.482545 1.66586 1.35855 1.36570 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 10 fit: 2.30752e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07491 1.07767 0.598546 1.34204 0.00000 0.491851 1.66585 1.35825 1.36569 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 11 fit: 2.30764e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07524 1.07797 0.598956 1.34154 0.00000 0.498596 1.66595 1.35808 1.36573 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 12 fit: 2.30759e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07545 1.07777 0.593301 1.34108 0.00000 0.503515 1.66574 1.35804 1.36564 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 13 fit: 2.30770e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07560 1.07804 0.596663 1.34137 0.00000 0.507324 1.66580 1.35804 1.36568 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 14 fit: 2.30762e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07568 1.07782 0.599472 1.34175 0.00000 0.508162 1.66581 1.35802 1.36570 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 15 fit: 2.30758e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07573 1.07765 0.599334 1.34127 0.00000 0.512062 1.66591 1.35795 1.36575 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 16 fit: 2.30771e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07577 1.07796 0.599947 1.34116 0.00000 0.513701 1.66595 1.35802 1.36574 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 17 fit: 2.30763e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07579 1.07776 0.601039 1.34167 0.00000 0.514452 1.66584 1.35795 1.36570 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 18 fit: 2.30774e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07581 1.07804 0.596899 1.34154 0.00000 0.515160 1.66597 1.35796 1.36575 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 19 fit: 2.30766e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07581 1.07781 0.596564 1.34122 0.00000 0.515547 1.66603 1.35793 1.36573 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 20 fit: 2.30777e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07580 1.07808 0.596888 1.34069 0.00000 0.515750 1.66594 1.35796 1.36573 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 21 fit: 2.30766e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07580 1.07785 0.601736 1.34163 0.00000 0.514382 1.66586 1.35795 1.36572 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 22 fit: 2.30761e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07579 1.07767 0.597257 1.34231 0.00000 0.513988 1.66585 1.35792 1.36567 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 23 fit: 2.30771e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07579 1.07797 0.597632 1.34187 0.00000 0.512419 1.66591 1.35794 1.36569 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 24 fit: 2.30763e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07580 1.07777 0.595997 1.34136 0.00000 0.512052 1.66591 1.35798 1.36571 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 25 fit: 2.30774e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07583 1.07804 0.596749 1.34188 0.00000 0.514156 1.66595 1.35796 1.36570 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 26 fit: 2.30765e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07584 1.07782 0.594526 1.34191 0.00000 0.516213 1.66576 1.35793 1.36573 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 27 fit: 2.30760e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07584 1.07765 0.594500 1.34172 0.00000 0.515578 1.66574 1.35790 1.36569 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 28 fit: 2.30770e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07582 1.07796 0.594762 1.34143 0.00000 0.515931 1.66586 1.35800 1.36570 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 29 fit: 2.30763e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07581 1.07776 0.594013 1.34146 0.00000 0.514077 1.66589 1.35801 1.36578 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 30 fit: 2.30774e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07582 1.07804 0.594601 1.34159 0.00000 0.514267 1.66604 1.35801 1.36576 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 31 fit: 2.30766e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07584 1.07782 0.597232 1.34115 0.00000 0.515578 1.66605 1.35802 1.36575 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 32 fit: 2.30778e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07583 1.07808 0.600147 1.34192 0.00000 0.514363 1.66590 1.35807 1.36571 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 33 fit: 2.30767e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07584 1.07785 0.599780 1.34250 0.00000 0.515579 1.66584 1.35797 1.36573 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 34 fit: 2.30761e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07583 1.07767 0.598322 1.34234 0.00000 0.515632 1.66586 1.35791 1.36574 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 35 fit: 2.30772e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07582 1.07797 0.597611 1.34168 0.00000 0.515729 1.66586 1.35792 1.36573 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 36 fit: 2.30763e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07584 1.07777 0.597427 1.34073 0.00000 0.515198 1.66580 1.35791 1.36568 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 37 fit: 2.30774e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07584 1.07804 0.600536 1.34213 0.00000 0.514488 1.66599 1.35789 1.36572 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 38 fit: 2.30766e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07583 1.07782 0.599350 1.34236 0.00000 0.514177 1.66599 1.35795 1.36569 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 39 fit: 2.30762e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07582 1.07765 0.596905 1.34129 0.00000 0.516498 1.66599 1.35792 1.36572 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 40 fit: 2.30772e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07581 1.07796 0.595212 1.34102 0.00000 0.513583 1.66585 1.35793 1.36574 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 41 fit: 2.30763e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07584 1.07776 0.603038 1.34167 0.00000 0.514935 1.66580 1.35788 1.36564 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 42 fit: 2.30773e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07584 1.07804 0.599832 1.34154 0.00000 0.515585 1.66601 1.35797 1.36564 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 43 fit: 2.30766e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07581 1.07782 0.593725 1.34110 0.00000 0.515415 1.66587 1.35799 1.36570 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 44 fit: 2.30776e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07581 1.07808 0.594123 1.34148 0.00000 0.516144 1.66586 1.35806 1.36574 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 45 fit: 2.30766e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07583 1.07785 0.594481 1.34177 0.00000 0.516933 1.66598 1.35809 1.36569 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 46 fit: 2.30763e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07582 1.07767 0.593848 1.34199 0.00000 0.516951 1.66582 1.35792 1.36569 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 47 fit: 2.30771e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07583 1.07797 0.598628 1.34171 0.00000 0.517218 1.66600 1.35793 1.36571 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 48 fit: 2.30765e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07582 1.07777 0.593715 1.34208 0.00000 0.516538 1.66582 1.35789 1.36570 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: iter: 49 fit: 2.30774e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: scales: 1.07583 1.07804 0.594955 1.34151 0.00000 0.516412 1.66589 1.35794 1.36569 SPFLUX_FITTEMPLATES: spFrame-r2-00034589.fits: template fit did not converge! coeffs= 1.07583 1.07804 0.594955 1.34151 0.00000 0.516412 1.66589 1.35794 1.36569 SPFLUX_V5: spFrame-r2-00034589.fits: Min/max fluxcalib = 75.5764 823.617 MRDFITS: Null image, NAXIS=0 SPFLUX_FITTEMPLATES: spFrame-b2-00034590.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b2-00034590.fits: Min/max fluxcalib = 128.986 752.111 MRDFITS: Null image, NAXIS=0 MRDFITS: Binary table. 5 columns by 1 rows. SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: HELIO_RV correction of 23.1913 applied to templates. MRDFITS: Image array (2,2) Type=Real*4 MRDFITS: Binary table. 5 columns by 1 rows. SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: HELIO_RV correction of 23.1913 applied to templates. MRDFITS: Image array (9,2) Type=Real*8 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 0 fit: 3.24573e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.06278 1.09796 0.431281 1.38531 0.555319 0.559498 1.97422 1.51739 1.40612 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 1 fit: 2.97249e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.07655 1.09649 0.605354 1.30270 0.615143 0.572071 1.70435 1.47800 1.39132 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 2 fit: 2.94623e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.08509 1.09588 0.640361 1.28781 0.603941 0.578254 1.62149 1.45642 1.38481 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 3 fit: 2.94154e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.09041 1.09542 0.649976 1.28466 0.620696 0.581344 1.59628 1.44456 1.38200 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 4 fit: 2.94043e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.09374 1.09539 0.653668 1.28443 0.606138 0.583177 1.58871 1.43814 1.38067 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 5 fit: 2.94015e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.09582 1.09536 0.653000 1.28364 0.610271 0.584059 1.58660 1.43460 1.38013 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 6 fit: 2.94008e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.09712 1.09534 0.654658 1.28374 0.628630 0.581812 1.58585 1.43267 1.37987 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 7 fit: 2.94005e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.09793 1.09533 0.656928 1.28450 0.615739 0.583886 1.58559 1.43166 1.37979 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 8 fit: 2.94005e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.09845 1.09532 0.655311 1.28449 0.612324 0.584385 1.58561 1.43110 1.37971 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 9 fit: 2.94006e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.09877 1.09531 0.651690 1.28403 0.584365 0.585156 1.58563 1.43082 1.37973 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: iter: 10 fit: 2.94007e-06 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: scales: 1.09877 1.09531 0.651690 1.28403 0.584365 0.585156 1.58563 1.43082 1.37973 SPFLUX_FITTEMPLATES: spFrame-r2-00034590.fits: template niter, coeffs: 10 1.09877 1.09531 0.651690 1.28403 0.584365 0.585156 1.58563 1.43082 1.37973 SPFLUX_V5: spFrame-r2-00034590.fits: Min/max fluxcalib = 66.3637 758.760 SPCOMBINE_V5: SPCOMBINE_V5: Max memory usage = 374.5 MB % Compiled module: SPFLUXCORR_V5. SPFLUXCORR_V5: Reading + rebinning raw spectra spFrame-b1-00034589.fits SPFLUXCORR_V5: Reading + rebinning raw spectra spFrame-r1-00034589.fits SPFLUXCORR_V5: Reading + rebinning raw spectra spFrame-b1-00034590.fits SPFLUXCORR_V5: Reading + rebinning raw spectra spFrame-r1-00034590.fits % Compiled module: SOLVE_POLY_RATIO. SPFLUXCORR_V5: Fiber # 1 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 2 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 3 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 4 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 5 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 6 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 7 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 8 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 9 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 10 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 11 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 12 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 13 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 14 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 15 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 16 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 17 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 18 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 19 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 20 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 21 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 22 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 23 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 24 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 25 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 26 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 27 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 28 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 29 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 30 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 31 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 32 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 33 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 34 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 35 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 36 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 37 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 38 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 39 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 40 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 41 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 42 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 43 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 44 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 45 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 46 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 47 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 48 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 49 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 50 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 51 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 52 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 53 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 54 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 55 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 56 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 57 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 58 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 59 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 60 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 61 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 62 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 63 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 64 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 65 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 66 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 67 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 68 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 69 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 70 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 71 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 72 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 73 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 74 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 75 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 76 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 77 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 78 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 79 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 80 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 81 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 82 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 83 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 84 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 85 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 86 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 87 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 88 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 89 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 90 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 91 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 92 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 93 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 94 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 95 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 96 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 97 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 98 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 99 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 100 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 101 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 102 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 103 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 104 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 105 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 106 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 107 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 108 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 109 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 110 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 111 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 112 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 113 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 114 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 115 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 116 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 117 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 118 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 119 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 120 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 121 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 122 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 123 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 124 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 125 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 126 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 127 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 128 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 129 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 130 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 131 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 132 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 133 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 134 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 135 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 136 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 137 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 138 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 139 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 140 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 141 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 142 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 143 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 144 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 145 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 146 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 147 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 148 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 149 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 150 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 151 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 152 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 153 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 154 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 155 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 156 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 157 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 158 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 159 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 160 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 161 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 162 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 163 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 164 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 165 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 166 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 167 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 168 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 169 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 170 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 171 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 172 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 173 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 174 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 175 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 176 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 177 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 178 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 179 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 180 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 181 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 182 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 183 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 184 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 185 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 186 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 187 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 188 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 189 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 190 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 191 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 192 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 193 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 194 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 195 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 196 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 197 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 198 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 199 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 200 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 201 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 202 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 203 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 204 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 205 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 206 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 207 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 208 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 209 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 210 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 211 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 212 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 213 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 214 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 215 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 216 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 217 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 218 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 219 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 220 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 221 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 222 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 223 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 224 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 225 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 226 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 227 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 228 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 229 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 230 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 231 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 232 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 233 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 234 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 235 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 236 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 237 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 238 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 239 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 240 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 241 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 242 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 243 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 244 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 245 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 246 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 247 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 248 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 249 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 250 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 251 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 252 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 253 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 254 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 255 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 256 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 257 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 258 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 259 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 260 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 261 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 262 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 263 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 264 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 265 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 266 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 267 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 268 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 269 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 270 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 271 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 272 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 273 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 274 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 275 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 276 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 277 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 278 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 279 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 280 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 281 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 282 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 283 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 284 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 285 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 286 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 287 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 288 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 289 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 290 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 291 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 292 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 293 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 294 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 295 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 296 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 297 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 298 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 299 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 300 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 301 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 302 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 303 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 304 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 305 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 306 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 307 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 308 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 309 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 310 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 311 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 312 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 313 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 314 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 315 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 316 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 317 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 318 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 319 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 320 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Writing file spFluxcorr-b1-00034589.fits SPFLUXCORR_V5: Writing file spFluxcorr-r1-00034589.fits SPFLUXCORR_V5: Writing file spFluxcorr-b1-00034590.fits SPFLUXCORR_V5: Writing file spFluxcorr-r1-00034590.fits SPFLUXCORR_V5: Time to compute fluxcorr vectors = 79.895598 sec SPFLUXCORR_V5: Reading + rebinning raw spectra spFrame-b2-00034589.fits SPFLUXCORR_V5: Reading + rebinning raw spectra spFrame-r2-00034589.fits SPFLUXCORR_V5: Reading + rebinning raw spectra spFrame-b2-00034590.fits SPFLUXCORR_V5: Reading + rebinning raw spectra spFrame-r2-00034590.fits SPFLUXCORR_V5: Fiber # 321 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 322 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 323 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 324 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 325 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 326 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 327 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 328 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 329 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 330 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 331 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 332 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 333 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 334 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 335 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 336 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 337 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 338 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 339 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 340 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 341 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 342 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 343 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 344 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 345 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 346 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 347 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 348 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 349 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 350 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 351 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 352 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 353 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 354 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 355 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 356 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 357 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 358 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 359 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 360 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 361 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 362 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 363 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 364 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 365 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 366 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 367 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 368 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 369 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 370 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 371 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 372 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 373 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 374 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 375 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 376 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 377 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 378 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 379 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 380 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 381 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 382 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 383 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 384 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 385 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 386 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 387 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 388 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 389 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 390 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 391 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 392 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 393 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 394 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 395 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 396 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 397 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 398 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 399 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 400 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 401 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 402 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 403 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 404 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 405 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 406 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 407 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 408 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 409 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 410 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 411 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 412 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 413 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 414 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 415 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 416 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 417 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 418 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 419 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 420 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 421 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 422 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 423 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 424 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 425 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 426 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 427 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 428 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 429 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 430 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 431 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 432 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 433 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 434 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 435 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 436 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 437 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 438 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 439 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 440 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 441 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 442 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 443 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 444 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 445 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 446 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 447 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 448 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 449 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 450 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 451 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 452 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 453 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 454 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 455 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 456 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 457 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 458 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 459 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 460 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 461 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 462 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 463 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 464 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 465 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 466 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 467 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 468 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 469 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 470 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 471 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 472 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 473 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 474 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 475 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 476 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 477 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 478 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 479 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 480 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 481 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 482 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 483 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 484 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 485 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 486 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 487 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 488 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 489 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 490 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 491 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 492 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 493 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 494 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 495 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 496 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 497 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 498 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 499 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 500 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 501 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 502 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 503 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 504 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 505 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 506 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 507 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 508 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 509 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 510 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 511 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 512 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 513 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 514 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 515 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 516 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 517 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 518 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 519 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 520 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 521 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 522 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 523 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 524 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 525 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 526 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 527 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 528 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 529 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 530 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 531 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 532 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 533 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 534 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 535 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 536 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 537 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 538 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 539 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 540 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 541 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 542 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 543 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 544 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 545 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 546 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 547 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 548 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 549 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 550 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 551 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 552 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 553 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 554 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 555 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 556 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 557 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 558 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 559 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 560 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 561 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 562 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 563 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 564 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 565 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 566 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 567 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 568 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 569 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 570 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 571 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 572 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 573 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 574 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 575 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 576 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 577 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 578 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 579 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 580 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 581 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 582 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 583 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 584 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 585 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 586 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 587 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 588 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 589 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 590 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 591 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 592 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 593 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 594 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 595 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 596 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 597 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 598 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 599 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 600 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 601 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 602 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 603 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 604 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 605 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 606 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 607 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 608 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 609 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 610 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 611 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 612 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 613 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 614 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 615 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 616 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 617 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 618 exposure # 34589 npoly= 3 SPFLUXCORR_V5: Fiber # 619 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 620 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 621 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 622 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 623 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 624 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 625 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 626 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 627 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 628 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 629 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 630 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 631 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 632 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 633 exposure # 34589 npoly= 1 SPFLUXCORR_V5: Fiber # 634 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 635 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 636 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 637 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 638 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 639 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Fiber # 640 exposure # 34589 npoly= 2 SPFLUXCORR_V5: Writing file spFluxcorr-b2-00034589.fits SPFLUXCORR_V5: Writing file spFluxcorr-r2-00034589.fits SPFLUXCORR_V5: Writing file spFluxcorr-b2-00034590.fits SPFLUXCORR_V5: Writing file spFluxcorr-r2-00034590.fits SPFLUXCORR_V5: Time to compute fluxcorr vectors = 71.535278 sec SPCOMBINE_V5: Max memory usage = 374.5 MB % Compiled module: DFPSCLOSE. % Compiled module: SPCOADD_V5. % Compiled module: REPSTR. SPCOADD_V5: Reading file # 0: spFrame-b1-00034589.fits MRDFITS: Image array (2048,320) Type=Real*4 SPCOADD_V5: SPCOADD_V5: Reading file # 1: spFrame-b1-00034590.fits MRDFITS: Image array (2048,320) Type=Real*4 SPCOADD_V5: SPCOADD_V5: Reading file # 2: spFrame-b2-00034589.fits MRDFITS: Image array (2048,320) Type=Real*4 SPCOADD_V5: SPCOADD_V5: Reading file # 3: spFrame-b2-00034590.fits MRDFITS: Image array (2048,320) Type=Real*4 SPCOADD_V5: SPCOADD_V5: Reading file # 4: spFrame-r1-00034589.fits MRDFITS: Image array (2048,320) Type=Real*4 SPCOADD_V5: SPCOADD_V5: Reading file # 5: spFrame-r1-00034590.fits MRDFITS: Image array (2048,320) Type=Real*4 SPCOADD_V5: SPCOADD_V5: Reading file # 6: spFrame-r2-00034589.fits MRDFITS: Image array (2048,320) Type=Real*4 SPCOADD_V5: SPCOADD_V5: Reading file # 7: spFrame-r2-00034590.fits MRDFITS: Image array (2048,320) Type=Real*4 SPCOADD_V5: SPCOADD_V5: Files for camera b1: 2 SPCOADD_V5: Files for camera b2: 2 SPCOADD_V5: Files for camera r1: 2 SPCOADD_V5: Files for camera r2: 2 SPCOADD_V5: Fiber 001 SERENDIPITY_MANUAL 16.37 16.27 16.17 16.17 16.17 % Compiled module: FIT_COMBINE_BKPTS. FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 002 SERENDIPITY_MANUAL 16.36 16.08 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 003 SERENDIPITY_MANUAL 16.51 16.16 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 004 SERENDIPITY_MANUAL 16.42 16.01 15.91 15.91 15.91 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 005 SERENDIPITY_MANUAL 16.44 16.17 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 006 SERENDIPITY_MANUAL 16.54 16.25 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 007 SERENDIPITY_MANUAL 16.41 16.14 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 008 SERENDIPITY_MANUAL 16.29 16.27 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 009 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 010 SERENDIPITY_MANUAL 16.49 16.28 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 011 SERENDIPITY_MANUAL 16.80 16.32 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 012 SERENDIPITY_MANUAL 16.70 16.42 16.36 16.36 16.36 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 013 SERENDIPITY_MANUAL 16.50 16.34 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 014 SERENDIPITY_MANUAL 16.64 16.34 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 015 SERENDIPITY_MANUAL 16.41 16.17 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 016 SPECTROPHOTO_STD 18.20 17.97 17.91 17.91 17.91 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 017 SERENDIPITY_MANUAL 16.67 16.23 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 018 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 019 SERENDIPITY_MANUAL 16.13 16.02 15.93 15.93 15.93 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 020 SERENDIPITY_MANUAL 16.40 16.30 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 021 SERENDIPITY_MANUAL 16.56 16.21 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 022 SERENDIPITY_MANUAL 16.62 16.38 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 023 SERENDIPITY_MANUAL 16.66 16.36 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 024 SERENDIPITY_MANUAL 16.25 16.06 15.96 15.96 15.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 025 SERENDIPITY_MANUAL 16.35 16.09 16.04 16.04 16.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 026 SERENDIPITY_MANUAL 16.53 16.21 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 027 SERENDIPITY_MANUAL 16.76 16.40 16.36 16.36 16.36 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 028 SERENDIPITY_MANUAL 16.47 16.28 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 029 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 030 SERENDIPITY_MANUAL 16.42 16.32 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 031 SERENDIPITY_MANUAL 16.59 16.42 16.34 16.34 16.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 032 SERENDIPITY_MANUAL 16.71 16.24 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 033 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 034 SERENDIPITY_MANUAL 16.28 16.09 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 035 SERENDIPITY_MANUAL 16.64 16.32 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 036 SERENDIPITY_MANUAL 16.26 16.01 15.92 15.92 15.92 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 037 SERENDIPITY_MANUAL 16.16 16.14 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 038 SERENDIPITY_MANUAL 16.45 16.06 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 039 SERENDIPITY_MANUAL 16.42 16.24 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 040 SERENDIPITY_MANUAL 16.62 16.32 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 041 SERENDIPITY_MANUAL 16.44 16.15 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 042 SERENDIPITY_MANUAL 16.70 16.39 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 043 SERENDIPITY_MANUAL 16.37 16.13 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 044 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 045 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 046 SERENDIPITY_MANUAL 16.59 16.34 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 047 SERENDIPITY_MANUAL 16.61 16.39 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 048 SERENDIPITY_MANUAL 16.39 16.14 16.06 16.06 16.06 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 049 SERENDIPITY_MANUAL 16.61 16.26 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 050 SERENDIPITY_MANUAL 16.71 16.39 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 051 SERENDIPITY_MANUAL 16.67 16.36 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 052 SERENDIPITY_MANUAL 16.69 16.36 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 053 SERENDIPITY_MANUAL 16.69 16.40 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 054 SERENDIPITY_MANUAL 16.46 16.30 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 055 SERENDIPITY_MANUAL 16.43 16.18 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 056 SERENDIPITY_MANUAL 16.47 16.22 16.16 16.16 16.16 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 057 SERENDIPITY_MANUAL 16.52 16.26 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 058 SERENDIPITY_MANUAL 16.65 16.31 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 059 SERENDIPITY_MANUAL 16.43 16.20 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 060 SERENDIPITY_MANUAL 16.57 16.33 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 061 SERENDIPITY_MANUAL 19.28 16.06 14.98 14.52 14.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 062 SERENDIPITY_MANUAL 17.75 16.23 15.66 15.36 15.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 063 SERENDIPITY_MANUAL 17.81 16.41 15.81 15.54 15.42 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 064 SERENDIPITY_MANUAL 18.01 16.03 15.26 14.91 14.79 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 065 SERENDIPITY_MANUAL 18.60 16.24 15.33 14.95 14.79 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 066 SERENDIPITY_MANUAL 18.32 17.01 16.65 16.41 16.79 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 067 SERENDIPITY_MANUAL 16.25 16.01 15.93 15.93 15.93 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 068 SERENDIPITY_MANUAL 18.46 16.98 16.50 16.37 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 069 SERENDIPITY_MANUAL 17.81 16.23 15.56 15.25 15.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 070 SERENDIPITY_MANUAL 18.60 16.25 15.34 14.92 14.69 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 071 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 072 SERENDIPITY_MANUAL 16.30 16.14 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 073 SERENDIPITY_MANUAL 18.02 16.60 16.03 15.80 15.88 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 074 SERENDIPITY_MANUAL 18.46 16.34 15.52 15.17 15.01 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 075 SERENDIPITY_MANUAL 17.98 16.43 15.76 15.53 15.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 076 SERENDIPITY_MANUAL 18.11 16.36 15.20 14.76 14.54 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 077 SERENDIPITY_MANUAL 16.68 16.41 16.34 16.34 16.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 078 SERENDIPITY_MANUAL 16.50 16.31 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 079 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 080 SERENDIPITY_MANUAL 16.38 16.17 16.15 16.15 16.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 081 SERENDIPITY_MANUAL 16.47 16.16 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 082 SERENDIPITY_MANUAL 16.61 16.33 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 083 SERENDIPITY_MANUAL 16.56 16.25 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 084 SERENDIPITY_MANUAL 16.28 16.05 15.88 15.88 15.88 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 085 SERENDIPITY_MANUAL 16.22 16.05 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 086 SERENDIPITY_MANUAL 16.41 16.10 16.04 16.04 16.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 087 SERENDIPITY_MANUAL 16.52 16.26 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 088 SERENDIPITY_MANUAL 16.72 16.35 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 089 SERENDIPITY_MANUAL 16.63 16.36 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 090 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 091 SERENDIPITY_MANUAL 16.12 16.10 16.18 16.18 16.18 SPCOADD_V5: Fiber 092 SPECTROPHOTO_STD 18.27 17.93 17.97 17.97 17.97 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 093 SERENDIPITY_MANUAL 16.78 16.38 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 094 SERENDIPITY_MANUAL 16.45 16.22 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 095 SERENDIPITY_MANUAL 16.45 16.36 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 096 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 097 SERENDIPITY_MANUAL 16.54 16.21 16.14 16.14 16.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 098 SERENDIPITY_MANUAL 16.68 16.38 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 099 SERENDIPITY_MANUAL 16.54 16.09 15.96 15.96 15.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 100 SERENDIPITY_MANUAL 16.45 16.26 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 101 SERENDIPITY_MANUAL 18.34 16.17 15.27 14.84 14.71 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 102 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 103 SERENDIPITY_MANUAL 18.40 16.86 16.16 16.04 15.71 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 104 SERENDIPITY_MANUAL 17.91 16.33 15.79 15.58 15.90 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 105 SERENDIPITY_MANUAL 18.09 16.22 15.52 15.22 15.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 106 SERENDIPITY_MANUAL 18.75 17.02 16.30 16.15 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 107 SERENDIPITY_MANUAL 19.26 16.09 15.03 14.64 14.38 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 108 SERENDIPITY_MANUAL 17.98 16.18 15.46 15.15 14.92 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 109 SERENDIPITY_MANUAL 18.87 16.15 15.03 14.55 14.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 110 SERENDIPITY_MANUAL 17.74 16.02 15.26 14.99 14.98 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 111 SERENDIPITY_MANUAL 18.54 16.53 15.67 15.32 14.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 112 SERENDIPITY_MANUAL 18.28 16.91 16.30 16.07 15.77 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 113 SERENDIPITY_MANUAL 17.85 16.25 15.66 15.43 15.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 114 SERENDIPITY_MANUAL 17.73 16.05 15.39 15.14 15.05 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 115 SERENDIPITY_MANUAL 18.12 16.11 15.25 14.80 14.82 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 116 SERENDIPITY_MANUAL 18.42 16.37 15.63 15.29 14.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 117 SERENDIPITY_MANUAL 18.16 16.62 16.08 15.83 15.68 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 118 SERENDIPITY_MANUAL 17.96 16.02 15.36 15.12 15.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 119 SERENDIPITY_MANUAL 18.08 16.62 16.15 16.02 15.78 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 120 SERENDIPITY_MANUAL 17.31 16.02 15.47 15.39 15.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 121 SERENDIPITY_MANUAL 16.49 16.35 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 122 SERENDIPITY_MANUAL 16.48 16.30 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 123 SERENDIPITY_MANUAL 16.57 16.13 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 124 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 125 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 126 SERENDIPITY_MANUAL 16.25 16.11 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 127 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 128 SERENDIPITY_MANUAL 16.42 16.12 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 129 SERENDIPITY_MANUAL 16.37 16.11 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 130 SERENDIPITY_MANUAL 16.61 16.22 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 131 SERENDIPITY_MANUAL 16.50 16.23 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 132 SERENDIPITY_MANUAL 16.47 16.02 15.96 15.96 15.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 133 SERENDIPITY_MANUAL 16.72 16.23 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 134 SERENDIPITY_MANUAL 16.31 16.26 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 135 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 136 SERENDIPITY_MANUAL 16.24 16.01 15.96 15.96 15.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 137 SERENDIPITY_MANUAL 16.38 16.12 16.09 16.09 16.09 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 138 SERENDIPITY_MANUAL 16.12 16.02 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 139 SERENDIPITY_MANUAL 16.24 16.05 15.97 15.97 15.97 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 140 SERENDIPITY_MANUAL 16.34 16.17 16.09 16.09 16.09 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 141 SERENDIPITY_MANUAL 17.21 16.18 15.15 15.15 15.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 142 SERENDIPITY_MANUAL 18.69 16.40 15.50 15.17 15.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 143 SERENDIPITY_MANUAL 18.18 16.69 15.97 15.70 15.68 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 144 SERENDIPITY_MANUAL 19.17 18.53 17.90 17.90 17.90 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 145 SERENDIPITY_MANUAL 18.79 18.21 17.64 17.64 17.64 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 146 SERENDIPITY_MANUAL 18.81 16.48 15.58 15.23 15.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 147 SERENDIPITY_MANUAL 17.65 16.24 15.71 15.52 15.55 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 148 SERENDIPITY_MANUAL 19.13 16.10 15.04 14.62 14.42 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 149 SERENDIPITY_MANUAL 18.22 16.36 15.61 15.33 15.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 150 SERENDIPITY_MANUAL 14.52 13.14 12.64 12.14 12.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 151 SERENDIPITY_MANUAL 18.01 16.44 15.81 15.61 15.89 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 152 SERENDIPITY_MANUAL 17.71 16.27 15.63 15.45 15.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 153 SERENDIPITY_MANUAL 18.07 16.37 15.38 14.96 14.70 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 154 SERENDIPITY_MANUAL 18.54 16.07 15.13 14.75 14.60 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 155 SERENDIPITY_MANUAL 19.06 18.51 17.96 17.96 17.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 156 SERENDIPITY_MANUAL 18.50 16.66 15.96 15.71 15.64 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 157 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 158 SERENDIPITY_MANUAL 18.72 16.91 16.20 16.03 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 159 SERENDIPITY_MANUAL 18.40 17.78 17.17 17.17 17.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 160 SERENDIPITY_MANUAL 18.11 16.01 15.11 14.74 14.47 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 161 SERENDIPITY_MANUAL 18.64 17.29 16.76 16.54 16.54 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 162 SERENDIPITY_MANUAL 18.16 16.41 15.71 15.48 15.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 163 SERENDIPITY_MANUAL 17.78 16.14 15.42 15.11 14.82 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 164 SERENDIPITY_MANUAL 19.85 19.19 18.52 18.52 18.52 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 165 SERENDIPITY_MANUAL 18.30 16.76 16.13 15.93 15.90 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 166 SERENDIPITY_MANUAL 19.45 18.75 18.06 18.06 18.06 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 167 SERENDIPITY_MANUAL 17.99 16.47 15.82 15.59 15.69 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 168 SERENDIPITY_MANUAL 19.58 18.96 18.33 18.33 18.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 169 SERENDIPITY_MANUAL 18.12 16.17 15.33 14.93 14.79 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 170 SERENDIPITY_MANUAL 18.27 16.22 14.99 14.38 14.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 171 SERENDIPITY_MANUAL 19.95 19.03 18.12 18.12 18.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 172 SERENDIPITY_MANUAL 18.58 16.57 15.72 15.34 15.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 173 SERENDIPITY_MANUAL 18.63 18.07 17.50 17.50 17.50 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 174 SERENDIPITY_MANUAL 18.86 17.09 16.40 16.16 15.67 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 175 SERENDIPITY_MANUAL 18.65 16.37 15.48 15.09 14.91 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 176 SERENDIPITY_MANUAL 19.75 18.99 18.23 18.23 18.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 177 SERENDIPITY_MANUAL 17.73 16.97 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 178 SERENDIPITY_MANUAL 17.86 17.12 16.38 16.38 16.38 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 179 SERENDIPITY_MANUAL 18.99 18.37 17.76 17.76 17.76 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 180 SERENDIPITY_MANUAL 19.94 19.22 18.50 18.50 18.50 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 181 SERENDIPITY_MANUAL 16.34 16.08 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 182 SERENDIPITY_MANUAL 19.28 16.12 14.99 14.53 14.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 183 SERENDIPITY_MANUAL 18.69 17.88 17.38 16.88 16.88 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 184 SERENDIPITY_MANUAL 19.19 18.57 17.94 17.94 17.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 185 SERENDIPITY_MANUAL 17.73 16.19 15.58 15.35 15.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 186 SERENDIPITY_MANUAL 18.35 16.15 15.23 14.83 14.60 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 187 SERENDIPITY_MANUAL 19.49 18.77 18.05 18.05 18.05 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 188 SERENDIPITY_MANUAL 18.31 16.41 15.61 15.36 15.74 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 189 SERENDIPITY_MANUAL 18.35 16.27 15.44 15.04 14.81 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 190 SERENDIPITY_MANUAL 18.45 17.95 17.45 17.45 17.45 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 191 SERENDIPITY_MANUAL 17.38 16.25 15.75 15.25 15.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 192 SERENDIPITY_MANUAL 18.85 18.30 17.75 17.75 17.75 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 193 SERENDIPITY_MANUAL 17.71 16.01 15.32 15.04 15.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 194 SERENDIPITY_MANUAL 18.08 16.21 15.49 15.24 15.16 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 195 SERENDIPITY_MANUAL 16.51 16.15 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 196 SERENDIPITY_MANUAL 19.31 18.71 18.12 18.12 18.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 197 SERENDIPITY_MANUAL 18.41 17.81 17.22 17.22 17.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 198 SPECTROPHOTO_STD 17.36 17.18 17.10 17.10 17.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 199 SERENDIPITY_MANUAL 18.05 16.10 15.27 14.92 14.81 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 200 SERENDIPITY_MANUAL 16.13 15.00 14.50 14.00 14.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 201 SERENDIPITY_MANUAL 16.61 16.30 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 202 SERENDIPITY_MANUAL 16.64 16.23 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 203 SERENDIPITY_MANUAL 16.47 16.32 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 204 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 205 SERENDIPITY_MANUAL 16.63 16.38 16.35 16.35 16.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 206 SERENDIPITY_MANUAL 16.35 16.05 16.01 16.01 16.01 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 207 SERENDIPITY_MANUAL 16.61 16.35 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 208 SERENDIPITY_MANUAL 16.39 16.02 16.01 16.01 16.01 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 209 SERENDIPITY_MANUAL 16.63 16.25 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 210 SERENDIPITY_MANUAL 16.42 16.18 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 211 SERENDIPITY_MANUAL 16.34 16.13 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 212 SERENDIPITY_MANUAL 16.16 16.17 16.06 16.06 16.06 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 213 SERENDIPITY_MANUAL 16.55 16.33 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 214 SERENDIPITY_MANUAL 16.63 16.38 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 215 SERENDIPITY_MANUAL 16.69 16.29 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 216 SERENDIPITY_MANUAL 16.78 16.36 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 217 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 218 SERENDIPITY_MANUAL 16.29 16.15 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 219 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 220 SERENDIPITY_MANUAL 16.23 16.05 16.04 16.04 16.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 221 SERENDIPITY_MANUAL 16.38 16.17 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 222 SERENDIPITY_MANUAL 18.32 16.20 15.41 15.07 14.81 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 223 SERENDIPITY_MANUAL 16.42 16.13 16.02 16.02 16.02 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 224 SERENDIPITY_MANUAL 18.85 16.79 15.98 15.72 15.85 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 225 SERENDIPITY_MANUAL 16.55 16.41 16.38 16.38 16.38 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 226 SERENDIPITY_MANUAL 16.65 16.27 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 227 SERENDIPITY_MANUAL 16.40 16.14 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 228 SERENDIPITY_MANUAL 16.58 16.27 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 229 SERENDIPITY_MANUAL 16.39 16.31 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 230 SERENDIPITY_MANUAL 18.95 16.10 15.07 14.62 14.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 231 SERENDIPITY_MANUAL 18.09 16.45 15.77 15.53 15.42 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 232 SERENDIPITY_MANUAL 16.47 16.30 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 233 SERENDIPITY_MANUAL 17.92 16.09 15.31 14.99 14.89 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 234 SERENDIPITY_MANUAL 17.89 16.25 15.56 15.30 15.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 235 SERENDIPITY_MANUAL 18.33 16.53 15.82 15.58 15.38 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 236 SERENDIPITY_MANUAL 18.18 16.63 16.06 15.75 15.60 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 237 SERENDIPITY_MANUAL 19.29 16.77 15.90 15.47 15.56 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 238 SERENDIPITY_MANUAL 18.24 16.22 15.38 15.07 14.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 239 SERENDIPITY_MANUAL 17.62 16.13 15.64 15.46 15.40 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 240 SERENDIPITY_MANUAL 18.84 17.18 16.54 16.29 15.91 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 241 SERENDIPITY_MANUAL 16.58 16.31 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 242 SERENDIPITY_MANUAL 16.43 16.36 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 243 SERENDIPITY_MANUAL 16.58 16.28 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 244 SERENDIPITY_MANUAL 16.42 16.24 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 245 SERENDIPITY_MANUAL 16.66 16.40 16.37 16.37 16.37 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 246 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 247 SERENDIPITY_MANUAL 16.68 16.41 16.34 16.34 16.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 248 SERENDIPITY_MANUAL 16.71 16.41 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 249 SERENDIPITY_MANUAL 16.57 16.19 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 250 SERENDIPITY_MANUAL 16.55 16.14 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 251 SERENDIPITY_MANUAL 16.30 16.08 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 252 REDDEN_STD 15.39 15.26 15.22 15.22 15.22 SPCOADD_V5: Fiber 253 SERENDIPITY_MANUAL 16.50 16.29 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 254 SERENDIPITY_MANUAL 16.28 16.18 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 255 SERENDIPITY_MANUAL 16.42 16.12 16.04 16.04 16.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 256 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 257 SERENDIPITY_MANUAL 16.53 16.08 15.93 15.93 15.93 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 258 SERENDIPITY_MANUAL 16.17 16.04 15.96 15.96 15.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 259 SERENDIPITY_MANUAL 16.52 16.17 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 260 SERENDIPITY_MANUAL 16.35 16.07 16.02 16.02 16.02 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 261 REDDEN_STD 15.67 15.53 15.44 15.44 15.44 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 262 SERENDIPITY_MANUAL 16.59 16.24 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 263 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 264 SERENDIPITY_MANUAL 16.50 16.21 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 265 SERENDIPITY_MANUAL 16.10 16.07 16.06 16.06 16.06 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 266 SERENDIPITY_MANUAL 16.30 16.21 16.16 16.16 16.16 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 267 SPECTROPHOTO_STD 18.36 18.19 18.08 18.08 18.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 268 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 269 SERENDIPITY_MANUAL 16.57 16.33 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 270 SERENDIPITY_MANUAL 16.57 16.41 16.36 16.36 16.36 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 271 SERENDIPITY_MANUAL 16.26 16.01 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 272 SERENDIPITY_MANUAL 16.42 16.22 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 273 SERENDIPITY_MANUAL 16.42 16.33 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 274 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 275 SERENDIPITY_MANUAL 16.47 16.32 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 276 SERENDIPITY_MANUAL 16.48 16.31 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 277 SERENDIPITY_MANUAL 16.39 16.33 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 278 SERENDIPITY_MANUAL 16.62 16.26 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 279 SERENDIPITY_MANUAL 16.38 16.06 15.98 15.98 15.98 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 280 SERENDIPITY_MANUAL 16.67 16.34 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 281 SERENDIPITY_MANUAL 16.53 16.21 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 282 SERENDIPITY_MANUAL 16.63 16.35 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 283 SERENDIPITY_MANUAL 16.52 16.35 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 284 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 285 SERENDIPITY_MANUAL 16.40 16.17 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 286 SERENDIPITY_MANUAL 16.46 16.25 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 287 SERENDIPITY_MANUAL 16.68 16.34 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 288 SERENDIPITY_MANUAL 16.64 16.37 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 289 SERENDIPITY_MANUAL 16.62 16.41 16.34 16.34 16.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 290 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 291 SERENDIPITY_MANUAL 16.21 16.11 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 292 SERENDIPITY_MANUAL 16.30 16.07 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 293 SERENDIPITY_MANUAL 16.74 16.27 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 294 SERENDIPITY_MANUAL 16.31 16.09 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 295 SERENDIPITY_MANUAL 16.09 16.11 16.12 16.12 16.12 SPCOADD_V5: Fiber 296 SERENDIPITY_MANUAL 16.32 16.21 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 297 SERENDIPITY_MANUAL 16.67 16.37 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 298 SERENDIPITY_MANUAL 16.43 16.33 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 299 SERENDIPITY_MANUAL 16.62 16.20 16.14 16.14 16.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 300 SERENDIPITY_MANUAL 16.84 16.40 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 301 SERENDIPITY_MANUAL 16.45 16.20 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 302 SERENDIPITY_MANUAL 16.80 16.34 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 303 SERENDIPITY_MANUAL 16.44 16.03 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 304 SERENDIPITY_MANUAL 16.18 16.22 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 305 SERENDIPITY_MANUAL 16.60 16.37 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 306 SERENDIPITY_MANUAL 16.53 16.26 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 307 SERENDIPITY_MANUAL 16.74 16.34 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 308 SERENDIPITY_MANUAL 16.37 16.19 16.16 16.16 16.16 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 309 SERENDIPITY_MANUAL 16.42 16.08 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 310 SERENDIPITY_MANUAL 16.44 16.29 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 311 SERENDIPITY_MANUAL 16.12 16.05 15.95 15.95 15.95 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 312 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 313 SERENDIPITY_MANUAL 16.55 16.15 16.05 16.05 16.05 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 314 SERENDIPITY_MANUAL 16.35 16.26 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 315 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 316 SERENDIPITY_MANUAL 16.16 16.04 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 317 SERENDIPITY_MANUAL 16.44 16.28 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 318 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 319 SERENDIPITY_MANUAL 16.39 16.21 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 320 SERENDIPITY_MANUAL 16.64 16.25 16.14 16.14 16.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 321 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 322 SERENDIPITY_MANUAL 16.33 16.03 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 323 SERENDIPITY_MANUAL 16.37 16.23 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 324 SERENDIPITY_MANUAL 16.66 16.36 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 325 SERENDIPITY_MANUAL 16.30 16.02 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 326 SERENDIPITY_MANUAL 16.31 16.15 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 327 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 328 SERENDIPITY_MANUAL 16.31 16.17 16.16 16.16 16.16 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 329 SERENDIPITY_MANUAL 16.39 16.04 15.92 15.92 15.92 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 330 SERENDIPITY_MANUAL 16.40 16.05 16.02 16.02 16.02 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 331 SERENDIPITY_MANUAL 16.66 16.36 16.35 16.35 16.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 332 SERENDIPITY_MANUAL 16.46 16.31 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 333 SERENDIPITY_MANUAL 16.10 16.11 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 334 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 335 REDDEN_STDxx 15.18 14.97 14.89 14.89 14.89 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 336 SERENDIPITY_MANUAL 16.63 16.20 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 337 SERENDIPITY_MANUAL 16.49 16.28 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 338 SERENDIPITY_MANUAL 16.41 16.04 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 339 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 340 SERENDIPITY_MANUAL 16.71 16.34 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 341 SERENDIPITY_MANUAL 16.39 16.19 16.16 16.16 16.16 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 342 SPECTROPHOTO_STDxx 18.06 17.89 17.83 17.83 17.83 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 343 SERENDIPITY_MANUAL 16.33 16.19 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 344 SERENDIPITY_MANUAL 16.38 16.38 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 345 SERENDIPITY_MANUAL 16.59 16.30 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 346 SERENDIPITY_MANUAL 16.52 16.19 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 347 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 348 SERENDIPITY_MANUAL 16.26 16.17 16.16 16.16 16.16 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 349 SERENDIPITY_MANUAL 16.66 16.36 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 350 SERENDIPITY_MANUAL 16.33 16.09 16.02 16.02 16.02 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 351 SERENDIPITY_MANUAL 16.67 16.42 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 352 SERENDIPITY_MANUAL 16.53 16.32 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 353 SERENDIPITY_MANUAL 16.43 16.35 16.35 16.35 16.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 354 SERENDIPITY_MANUAL 16.38 16.09 16.02 16.02 16.02 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 355 SERENDIPITY_MANUAL 16.33 16.31 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 356 SERENDIPITY_MANUAL 16.39 16.17 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 357 SERENDIPITY_MANUAL 16.71 16.22 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 358 SERENDIPITY_MANUAL 16.39 16.15 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 359 SERENDIPITY_MANUAL 16.30 16.02 15.97 15.97 15.97 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 360 SERENDIPITY_MANUAL 16.54 16.33 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 361 SERENDIPITY_MANUAL 16.38 16.37 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 362 SERENDIPITY_MANUAL 16.34 16.08 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 363 SERENDIPITY_MANUAL 16.59 16.37 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 364 SERENDIPITY_MANUAL 16.33 16.04 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 365 SERENDIPITY_MANUAL 16.80 16.38 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 366 SERENDIPITY_MANUAL 16.46 16.31 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 367 SERENDIPITY_MANUAL 16.15 16.04 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 368 SERENDIPITY_MANUAL 16.35 16.15 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 369 SERENDIPITY_MANUAL 16.70 16.23 16.14 16.14 16.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 370 SERENDIPITY_MANUAL 16.56 16.29 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 371 SERENDIPITY_MANUAL 16.45 16.10 16.01 16.01 16.01 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 372 SERENDIPITY_MANUAL 16.34 16.19 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 373 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 374 SERENDIPITY_MANUAL 16.44 16.17 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 375 SERENDIPITY_MANUAL 16.28 16.12 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 376 SERENDIPITY_MANUAL 16.37 16.26 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 377 SERENDIPITY_MANUAL 16.57 16.30 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 378 SERENDIPITY_MANUAL 16.48 16.17 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 379 SERENDIPITY_MANUAL 16.33 16.07 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 380 SERENDIPITY_MANUAL 16.63 16.33 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 381 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 382 SERENDIPITY_MANUAL 16.47 16.18 16.15 16.15 16.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 383 SERENDIPITY_MANUAL 16.25 16.04 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 384 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 385 SERENDIPITY_MANUAL 16.32 16.22 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 386 SERENDIPITY_MANUAL 16.54 16.24 16.15 16.15 16.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 387 SERENDIPITY_MANUAL 16.30 16.07 16.02 16.02 16.02 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 388 SERENDIPITY_MANUAL 16.39 16.19 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 389 SERENDIPITY_MANUAL 16.44 16.18 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 390 SERENDIPITY_MANUAL 16.27 16.22 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 391 SERENDIPITY_MANUAL 16.15 16.13 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 392 SERENDIPITY_MANUAL 16.80 16.40 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 393 SERENDIPITY_MANUAL 16.51 16.32 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 394 SERENDIPITY_MANUAL 16.55 16.30 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 395 SERENDIPITY_MANUAL 16.71 16.37 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 396 SERENDIPITY_MANUAL 16.19 16.00 15.88 15.88 15.88 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 397 SERENDIPITY_MANUAL 16.12 16.08 16.04 16.04 16.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 398 SERENDIPITY_MANUAL 16.37 16.19 16.15 16.15 16.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 399 SERENDIPITY_MANUAL 16.37 16.26 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 400 SERENDIPITY_MANUAL 16.72 16.40 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 401 SERENDIPITY_MANUAL 16.29 16.11 16.06 16.06 16.06 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 402 SERENDIPITY_MANUAL 16.49 16.27 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 403 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 404 SERENDIPITY_MANUAL 16.37 16.05 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 405 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 406 SERENDIPITY_MANUAL 16.63 16.11 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 407 SERENDIPITY_MANUAL 16.06 16.01 15.93 15.93 15.93 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 408 SERENDIPITY_MANUAL 16.41 16.22 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 409 SERENDIPITY_MANUAL 16.44 16.34 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 410 SERENDIPITY_MANUAL 16.59 16.32 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 411 SERENDIPITY_MANUAL 16.53 16.35 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 412 SERENDIPITY_MANUAL 16.71 16.24 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 413 SERENDIPITY_MANUAL 16.61 16.17 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 414 SERENDIPITY_MANUAL 16.48 16.14 16.14 16.14 16.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 415 SERENDIPITY_MANUAL 16.50 16.17 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 416 SERENDIPITY_MANUAL 16.48 16.20 16.09 16.09 16.09 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 417 SERENDIPITY_MANUAL 16.22 16.04 15.98 15.98 15.98 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 418 SERENDIPITY_MANUAL 16.55 16.39 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 419 SERENDIPITY_MANUAL 16.58 16.32 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 420 SERENDIPITY_MANUAL 16.40 16.15 16.01 16.01 16.01 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 421 SERENDIPITY_MANUAL 16.43 16.14 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 422 SERENDIPITY_MANUAL 16.49 16.34 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 423 SERENDIPITY_MANUAL 16.26 16.13 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 424 SERENDIPITY_MANUAL 16.66 16.42 16.35 16.35 16.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 425 SERENDIPITY_MANUAL 16.69 16.41 16.36 16.36 16.36 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 426 SERENDIPITY_MANUAL 16.35 16.32 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 427 SERENDIPITY_MANUAL 16.49 16.15 16.05 16.05 16.05 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 428 SERENDIPITY_MANUAL 16.30 16.10 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 429 SERENDIPITY_MANUAL 16.52 16.25 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 430 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 431 SERENDIPITY_MANUAL 16.89 16.38 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 432 SERENDIPITY_MANUAL 16.42 16.21 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 433 SERENDIPITY_MANUAL 16.17 16.09 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 434 SERENDIPITY_MANUAL 16.47 16.16 16.14 16.14 16.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 435 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 436 SERENDIPITY_MANUAL 16.56 16.11 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 437 SERENDIPITY_MANUAL 16.48 16.28 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 438 SERENDIPITY_MANUAL 16.36 16.19 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 439 SERENDIPITY_MANUAL 16.55 16.28 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 440 SERENDIPITY_MANUAL 16.59 16.34 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 441 SERENDIPITY_MANUAL 16.26 16.02 15.97 15.97 15.97 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 442 SPECTROPHOTO_STDxx 17.66 17.47 17.37 17.37 17.37 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 443 SERENDIPITY_MANUAL 16.54 16.39 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 444 SERENDIPITY_MANUAL 16.30 16.03 16.01 16.01 16.01 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 445 SERENDIPITY_MANUAL 16.64 16.37 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 446 SERENDIPITY_MANUAL 16.51 16.28 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 447 SERENDIPITY_MANUAL 16.65 16.31 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 448 SERENDIPITY_MANUAL 16.68 16.37 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 449 SERENDIPITY_MANUAL 16.38 16.22 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 450 SERENDIPITY_MANUAL 16.55 16.29 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 451 SERENDIPITY_MANUAL 16.25 16.13 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 452 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 453 SERENDIPITY_MANUAL 16.39 16.29 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 454 SERENDIPITY_MANUAL 16.64 16.25 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 455 SERENDIPITY_MANUAL 16.50 16.08 16.01 16.01 16.01 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 456 SERENDIPITY_MANUAL 16.55 16.27 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 457 SERENDIPITY_MANUAL 16.75 16.29 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 458 SERENDIPITY_MANUAL 16.48 16.32 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 459 SERENDIPITY_MANUAL 16.57 16.16 16.05 16.05 16.05 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 460 SERENDIPITY_MANUAL 16.46 16.28 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 461 SERENDIPITY_MANUAL 16.49 16.15 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 462 SERENDIPITY_MANUAL 16.26 16.11 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 463 SERENDIPITY_MANUAL 16.36 16.25 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 464 SERENDIPITY_MANUAL 16.44 16.18 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 465 SERENDIPITY_MANUAL 16.32 16.06 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 466 SERENDIPITY_MANUAL 16.47 16.01 15.90 15.90 15.90 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 467 SERENDIPITY_MANUAL 16.74 16.39 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 468 SERENDIPITY_MANUAL 16.70 16.39 16.37 16.37 16.37 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 469 SERENDIPITY_MANUAL 16.56 16.27 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 470 SERENDIPITY_MANUAL 16.43 16.34 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 471 SERENDIPITY_MANUAL 16.48 16.20 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 472 SERENDIPITY_MANUAL 16.53 16.14 16.14 16.14 16.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 473 SERENDIPITY_MANUAL 16.52 16.23 16.15 16.15 16.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 474 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 475 SERENDIPITY_MANUAL 16.45 16.35 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 476 SERENDIPITY_MANUAL 16.33 16.29 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 477 SERENDIPITY_MANUAL 16.30 16.01 15.90 15.90 15.90 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 478 SERENDIPITY_MANUAL 16.23 16.17 16.15 16.15 16.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 479 SERENDIPITY_MANUAL 16.71 16.34 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 480 SERENDIPITY_MANUAL 16.44 16.18 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 481 SERENDIPITY_MANUAL 16.65 16.41 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 482 SERENDIPITY_MANUAL 16.62 16.37 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 483 SERENDIPITY_MANUAL 16.41 16.15 16.06 16.06 16.06 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 484 SERENDIPITY_MANUAL 16.50 16.16 16.05 16.05 16.05 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 485 SERENDIPITY_MANUAL 16.72 16.31 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 486 SERENDIPITY_MANUAL 18.01 16.44 15.79 15.43 15.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 487 SERENDIPITY_MANUAL 16.91 16.41 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 488 SERENDIPITY_MANUAL 16.60 16.34 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 489 SERENDIPITY_MANUAL 16.59 16.17 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 490 SERENDIPITY_MANUAL 16.79 16.41 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 491 SERENDIPITY_MANUAL 16.31 16.12 16.04 16.04 16.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 492 SERENDIPITY_MANUAL 16.65 16.30 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 493 SERENDIPITY_MANUAL 18.15 16.40 15.70 15.37 15.16 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 494 SERENDIPITY_MANUAL 16.75 16.25 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 495 SERENDIPITY_MANUAL 18.88 16.71 15.82 15.42 15.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 496 SERENDIPITY_MANUAL 16.49 16.08 15.96 15.96 15.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 497 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 498 SERENDIPITY_MANUAL 16.72 16.29 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 499 SERENDIPITY_MANUAL 17.94 16.12 15.35 15.02 14.98 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 500 SPECTROPHOTO_STDxx 18.25 18.02 17.96 17.96 17.96 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 501 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 502 SERENDIPITY_MANUAL 16.51 16.17 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 503 SERENDIPITY_MANUAL 17.91 16.26 15.62 15.33 15.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 504 SERENDIPITY_MANUAL 16.61 16.40 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 505 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 506 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 507 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 508 SERENDIPITY_MANUAL 17.88 16.28 15.64 15.38 15.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 509 SERENDIPITY_MANUAL 16.65 16.39 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 510 SERENDIPITY_MANUAL 16.53 16.12 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 511 SERENDIPITY_MANUAL 18.22 16.43 15.57 15.54 15.40 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 512 SERENDIPITY_MANUAL 18.03 16.10 15.20 14.75 14.55 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 513 SERENDIPITY_MANUAL 18.69 17.09 16.31 15.93 15.56 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 514 SERENDIPITY_MANUAL 18.85 16.13 15.10 14.64 14.48 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 515 SERENDIPITY_MANUAL 17.82 16.20 15.53 15.21 15.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 516 SERENDIPITY_MANUAL 17.64 16.17 15.61 15.38 15.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 517 SERENDIPITY_MANUAL 18.26 16.06 15.28 14.98 14.92 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 518 REDDEN_STDxx 15.84 15.52 15.51 15.51 15.51 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 519 SERENDIPITY_MANUAL 18.62 16.36 15.42 15.00 14.77 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 520 SERENDIPITY_MANUAL 18.70 16.65 15.76 15.36 15.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 521 SERENDIPITY_MANUAL 16.53 16.31 16.20 16.20 16.20 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 522 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 523 SERENDIPITY_MANUAL 16.45 16.39 16.37 16.37 16.37 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 524 SERENDIPITY_MANUAL 16.26 16.01 15.98 15.98 15.98 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 525 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 526 SERENDIPITY_MANUAL 16.25 16.18 16.13 16.13 16.13 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 527 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 528 SERENDIPITY_MANUAL 16.08 16.02 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 529 SERENDIPITY_MANUAL 16.56 16.29 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 530 SERENDIPITY_MANUAL 16.16 16.03 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 531 SERENDIPITY_MANUAL 16.37 16.10 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 532 SERENDIPITY_MANUAL 16.25 16.00 15.89 15.89 15.89 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 533 SERENDIPITY_MANUAL 16.33 16.11 16.06 16.06 16.06 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 534 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 535 SERENDIPITY_MANUAL 16.61 16.11 16.03 16.03 16.03 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 536 SERENDIPITY_MANUAL 16.36 16.16 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 537 SERENDIPITY_MANUAL 16.45 16.38 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 538 SERENDIPITY_MANUAL 16.22 16.11 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 539 SERENDIPITY_MANUAL 16.82 16.36 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 540 SERENDIPITY_MANUAL 16.51 16.19 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 541 SERENDIPITY_MANUAL 16.46 16.23 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 542 SERENDIPITY_MANUAL 16.72 16.35 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 543 SERENDIPITY_MANUAL 16.56 16.37 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 544 SERENDIPITY_MANUAL 16.48 16.40 16.35 16.35 16.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 545 SERENDIPITY_MANUAL 16.49 16.24 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 546 SERENDIPITY_MANUAL 16.65 16.17 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 547 REDDEN_STD 15.98 15.77 15.72 15.72 15.72 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 548 SERENDIPITY_MANUAL 16.62 16.12 16.09 16.09 16.09 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 549 SERENDIPITY_MANUAL 16.50 16.34 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 550 SERENDIPITY_MANUAL 16.59 16.17 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 551 SERENDIPITY_MANUAL 16.85 16.39 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 552 SERENDIPITY_MANUAL 16.42 16.01 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 553 SERENDIPITY_MANUAL 18.47 16.49 15.61 15.43 15.40 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 554 SERENDIPITY_MANUAL 16.80 16.34 16.27 16.27 16.27 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 555 SERENDIPITY_MANUAL 16.65 16.39 16.34 16.34 16.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 556 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 557 SERENDIPITY_MANUAL 16.53 16.29 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 558 SERENDIPITY_MANUAL 16.52 16.24 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 559 SERENDIPITY_MANUAL 16.36 16.31 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 560 SERENDIPITY_MANUAL 17.53 16.59 15.91 15.55 15.63 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 561 SERENDIPITY_MANUAL 16.49 16.30 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 562 SERENDIPITY_MANUAL 16.13 16.17 16.17 16.17 16.17 SPCOADD_V5: Fiber 563 SERENDIPITY_MANUAL 16.53 16.37 16.35 16.35 16.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 564 SERENDIPITY_MANUAL 16.40 16.06 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 565 SERENDIPITY_MANUAL 16.17 16.01 15.95 15.95 15.95 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 566 SERENDIPITY_MANUAL 16.35 16.14 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 567 SERENDIPITY_MANUAL 16.67 16.35 16.35 16.35 16.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 568 SERENDIPITY_MANUAL 16.44 16.12 16.04 16.04 16.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 569 SERENDIPITY_MANUAL 16.45 16.24 16.21 16.21 16.21 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 570 SERENDIPITY_MANUAL 16.42 16.13 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 571 SERENDIPITY_MANUAL 16.69 16.20 16.09 16.09 16.09 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 572 SERENDIPITY_MANUAL 16.27 16.10 16.01 16.01 16.01 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 573 SERENDIPITY_MANUAL 16.73 16.39 16.37 16.37 16.37 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 574 SERENDIPITY_MANUAL 16.67 16.41 16.37 16.37 16.37 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 575 SPECTROPHOTO_STD 18.19 17.88 17.91 17.91 17.91 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 576 SERENDIPITY_MANUAL 16.41 16.06 16.05 16.05 16.05 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 577 SERENDIPITY_MANUAL 16.77 16.40 16.35 16.35 16.35 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 578 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 579 SERENDIPITY_MANUAL 16.70 16.39 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 580 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 581 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 582 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 583 SERENDIPITY_MANUAL 16.35 16.08 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 584 REDDEN_STD 15.11 14.91 14.89 14.89 14.89 SPCOADD_V5: Fiber 585 SERENDIPITY_MANUAL 16.78 16.42 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 586 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 587 SERENDIPITY_MANUAL 16.40 16.18 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 588 SERENDIPITY_MANUAL 16.85 16.41 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 589 SERENDIPITY_MANUAL 16.69 16.40 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 590 SERENDIPITY_MANUAL 16.49 16.28 16.23 16.23 16.23 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 591 SERENDIPITY_MANUAL 16.60 16.33 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 592 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 593 SERENDIPITY_MANUAL 16.57 16.19 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 594 SERENDIPITY_MANUAL 16.39 16.04 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 595 SERENDIPITY_MANUAL 16.53 16.19 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 596 SERENDIPITY_MANUAL 16.34 16.27 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 597 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 598 SERENDIPITY_MANUAL 16.39 16.16 16.10 16.10 16.10 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 599 SERENDIPITY_MANUAL 16.30 16.05 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 600 SERENDIPITY_MANUAL 16.58 16.25 16.17 16.17 16.17 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 601 SERENDIPITY_MANUAL 16.61 16.37 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 602 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 603 SERENDIPITY_MANUAL 16.67 16.41 16.34 16.34 16.34 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 604 SERENDIPITY_MANUAL 16.36 16.06 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 605 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 606 SERENDIPITY_MANUAL 16.69 16.22 16.14 16.14 16.14 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 607 SERENDIPITY_MANUAL 16.45 16.10 16.04 16.04 16.04 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 608 SERENDIPITY_MANUAL 16.75 16.41 16.42 16.42 16.42 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 609 SERENDIPITY_MANUAL 16.56 16.32 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 610 SERENDIPITY_MANUAL 16.58 16.33 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 611 SERENDIPITY_MANUAL 16.51 16.31 16.24 16.24 16.24 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 612 SERENDIPITY_MANUAL 16.18 16.01 15.93 15.93 15.93 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 613 REDDEN_STD 15.08 14.86 14.83 14.83 14.83 SPCOADD_V5: Fiber 614 SERENDIPITY_MANUAL 16.36 16.16 16.12 16.12 16.12 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 615 SERENDIPITY_MANUAL 16.64 16.37 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 616 SERENDIPITY_MANUAL 16.67 16.19 16.11 16.11 16.11 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 617 SERENDIPITY_MANUAL 16.60 16.37 16.30 16.30 16.30 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 618 SERENDIPITY_MANUAL 16.32 16.04 16.00 16.00 16.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 619 SERENDIPITY_MANUAL 16.36 16.20 16.15 16.15 16.15 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 620 SERENDIPITY_MANUAL 16.41 16.15 16.08 16.08 16.08 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 621 SERENDIPITY_MANUAL 16.71 16.40 16.32 16.32 16.32 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 622 SERENDIPITY_MANUAL 16.58 16.18 16.07 16.07 16.07 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 623 SERENDIPITY_MANUAL 16.61 16.34 16.25 16.25 16.25 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 624 SERENDIPITY_MANUAL 16.24 16.21 16.19 16.19 16.19 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 625 SERENDIPITY_MANUAL 16.50 16.06 15.94 15.94 15.94 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 626 SERENDIPITY_MANUAL 16.64 16.38 16.31 16.31 16.31 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 627 SERENDIPITY_MANUAL 16.67 16.39 16.29 16.29 16.29 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 628 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 629 SKY 24.00 24.00 24.00 24.00 24.00 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 630 SERENDIPITY_MANUAL 16.55 16.33 16.28 16.28 16.28 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 631 SERENDIPITY_MANUAL 16.27 16.01 15.97 15.97 15.97 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 632 REDDEN_STD 15.36 15.34 15.38 15.38 15.38 SPCOADD_V5: Fiber 633 SERENDIPITY_MANUAL 16.42 16.38 16.33 16.33 16.33 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 634 SERENDIPITY_MANUAL 16.40 16.23 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 635 SERENDIPITY_MANUAL 16.61 16.33 16.26 16.26 16.26 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 636 SERENDIPITY_MANUAL 16.21 16.05 15.99 15.99 15.99 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 637 REDDEN_STD 15.74 15.64 15.58 15.58 15.58 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 638 SERENDIPITY_MANUAL 16.57 16.29 16.22 16.22 16.22 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 639 SERENDIPITY_MANUAL 16.63 16.36 16.36 16.36 16.36 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing SPCOADD_V5: Fiber 640 SERENDIPITY_MANUAL 16.68 16.30 16.18 16.18 16.18 FIT_COMBINE_BKPTS: sampling: 20; filtr: 60 Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing Lowest breakpoint does not cover lowest x value: changing highest breakpoint does not cover highest x value, changing % Compiled module: FLUX_DISTORTION. FLUX_DISTORTION: No objects w/known photom errors from calibObj FLUX_DISTORTION: Number of objects for fitting distortions = 564 FLUX_DISTORTION: WARNING: flux distortions disabled by SPEC2D_NOFLUXDISTORTION SPCOADD_V5: Flux distortion image dynamic range = 1.00000 % Compiled module: PLATESN. % Compiled module: PLOTSN. % Compiled module: DJS_ARROW. % Compiled module: ARROW. PLOTSN: Initial: (S/N)^2 @ g = 20.20 0.005 995.103 PLOTSN: Initial: (S/N)^2 @ r = 20.25 2038.288 1701.353 PLOTSN: Initial: (S/N)^2 @ i = 19.90 1771.899 1444.931 PLOTSN1: Initial: Spectro-1: Std-stars g-mag Median= 0.113 Stdev= 0.279 PLOTSN1: Initial: Spectro-2: Std-stars g-mag Median= 1.039 Stdev= 0.525 PLOTSN1: Initial: Spectro-1: Std-stars r-mag Median= -0.147 Stdev= 0.206 PLOTSN1: Initial: Spectro-2: Std-stars r-mag Median= 0.231 Stdev= 0.272 PLOTSN1: Initial: Spectro-1: Std-stars i-mag Median= -0.293 Stdev= 0.229 PLOTSN1: Initial: Spectro-2: Std-stars i-mag Median= -0.092 Stdev= 0.165 PLOTSN1: Initial: Spectro-1: Std-stars (g-r) color Median= 0.483 Stdev= 0.205 PLOTSN1: Initial: Spectro-2: Std-stars (g-r) color Median= 0.808 Stdev= 0.256 PLOTSN1: Initial: Spectro-1: Std-stars (r-i) color Median= 0.146 Stdev= 0.083 PLOTSN1: Initial: Spectro-2: Std-stars (r-i) color Median= 0.323 Stdev= 0.110 PLOTSN1: Initial: Spectro-1: Stars+QSOs g-mag Median= 0.597 Stdev= 1.630 PLOTSN1: Initial: Spectro-2: Stars+QSOs g-mag Median= 1.063 Stdev= 0.601 PLOTSN1: Initial: Spectro-1: Stars+QSOs r-mag Median= 0.040 Stdev= 1.853 PLOTSN1: Initial: Spectro-2: Stars+QSOs r-mag Median= 0.285 Stdev= 0.395 PLOTSN1: Initial: Spectro-1: Stars+QSOs i-mag Median= -0.134 Stdev= 1.904 PLOTSN1: Initial: Spectro-2: Stars+QSOs i-mag Median= -0.056 Stdev= 0.312 PLOTSN1: Initial: Spectro-1: Stars+QSOs (g-r) color Median= 0.229 Stdev= 0.347 PLOTSN1: Initial: Spectro-2: Stars+QSOs (g-r) color Median= 0.738 Stdev= 0.279 PLOTSN1: Initial: Spectro-1: Stars+QSOs (r-i) color Median= 0.106 Stdev= 0.134 PLOTSN1: Initial: Spectro-2: Stars+QSOs (r-i) color Median= 0.297 Stdev= 0.132 PLOTSN: Final: (S/N)^2 @ g = 20.20 0.005 995.103 PLOTSN: Final: (S/N)^2 @ r = 20.25 2038.288 1701.353 PLOTSN: Final: (S/N)^2 @ i = 19.90 1771.899 1444.931 PLOTSN1: Final: Spectro-1: Std-stars g-mag Median= 0.113 Stdev= 0.279 PLOTSN1: Final: Spectro-2: Std-stars g-mag Median= 1.039 Stdev= 0.525 PLOTSN1: Final: Spectro-1: Std-stars r-mag Median= -0.147 Stdev= 0.206 PLOTSN1: Final: Spectro-2: Std-stars r-mag Median= 0.231 Stdev= 0.272 PLOTSN1: Final: Spectro-1: Std-stars i-mag Median= -0.293 Stdev= 0.229 PLOTSN1: Final: Spectro-2: Std-stars i-mag Median= -0.092 Stdev= 0.165 PLOTSN1: Final: Spectro-1: Std-stars (g-r) color Median= 0.483 Stdev= 0.205 PLOTSN1: Final: Spectro-2: Std-stars (g-r) color Median= 0.808 Stdev= 0.256 PLOTSN1: Final: Spectro-1: Std-stars (r-i) color Median= 0.146 Stdev= 0.083 PLOTSN1: Final: Spectro-2: Std-stars (r-i) color Median= 0.323 Stdev= 0.110 PLOTSN1: Final: Spectro-1: Stars+QSOs g-mag Median= 0.597 Stdev= 1.630 PLOTSN1: Final: Spectro-2: Stars+QSOs g-mag Median= 1.063 Stdev= 0.601 PLOTSN1: Final: Spectro-1: Stars+QSOs r-mag Median= 0.040 Stdev= 1.853 PLOTSN1: Final: Spectro-2: Stars+QSOs r-mag Median= 0.285 Stdev= 0.395 PLOTSN1: Final: Spectro-1: Stars+QSOs i-mag Median= -0.134 Stdev= 1.904 PLOTSN1: Final: Spectro-2: Stars+QSOs i-mag Median= -0.056 Stdev= 0.312 PLOTSN1: Final: Spectro-1: Stars+QSOs (g-r) color Median= 0.229 Stdev= 0.347 PLOTSN1: Final: Spectro-2: Stars+QSOs (g-r) color Median= 0.738 Stdev= 0.279 PLOTSN1: Final: Spectro-1: Stars+QSOs (r-i) color Median= 0.106 Stdev= 0.134 PLOTSN1: Final: Spectro-2: Stars+QSOs (r-i) color Median= 0.297 Stdev= 0.132 SPCOADD_V5: Writing file # 0: spCFrame-b1-00034589.fits SPCOADD_V5: Writing file # 1: spCFrame-b1-00034590.fits SPCOADD_V5: Writing file # 2: spCFrame-b2-00034589.fits SPCOADD_V5: Writing file # 3: spCFrame-b2-00034590.fits SPCOADD_V5: Writing file # 4: spCFrame-r1-00034589.fits SPCOADD_V5: Writing file # 5: spCFrame-r1-00034590.fits SPCOADD_V5: Writing file # 6: spCFrame-r2-00034589.fits SPCOADD_V5: Writing file # 7: spCFrame-r2-00034590.fits SPCOADD_V5: % Compiled module: FIBER_ROLLCALL. % Compiled module: SDSS_FLAGNAME. % Compiled module: DJS_INT2BIN. % Compiled module: DJS_FLOOR. FIBER_ROLLCALL: FIBER_ROLLCALL: b1 r1 b2 r2 FIBER_ROLLCALL: ------ ------ ------ ------ FIBER_ROLLCALL: N(fiber) NOPLUG 3 3 4 4 FIBER_ROLLCALL: N(fiber) BADTRACE 0 3 0 1 FIBER_ROLLCALL: N(fiber) BADFLAT 2 4 0 1 FIBER_ROLLCALL: N(fiber) BADARC 1 2 0 0 FIBER_ROLLCALL: N(fiber) MANYBADCOLUMNS 3 34 10 19 FIBER_ROLLCALL: N(fiber) MANYREJECTED 0 0 0 0 FIBER_ROLLCALL: N(fiber) LARGESHIFT 0 0 0 0 FIBER_ROLLCALL: N(fiber) BADSKYFIBER 12 10 2 17 FIBER_ROLLCALL: N(fiber) NEARWHOPPER 0 0 0 0 FIBER_ROLLCALL: N(fiber) WHOPPER 0 0 0 0 FIBER_ROLLCALL: N(fiber) SMEARIMAGE 0 0 0 0 FIBER_ROLLCALL: N(fiber) SMEARHIGHSN 0 0 0 0 FIBER_ROLLCALL: N(fiber) SMEARMEDSN 0 0 0 0 FIBER_ROLLCALL: %(pixel) NEARBADPIXEL 0.39 3.43 0.41 2.11 FIBER_ROLLCALL: %(pixel) LOWFLAT 0.78 1.29 0.05 0.46 FIBER_ROLLCALL: %(pixel) FULLREJECT 0.05 0.11 0.00 0.03 FIBER_ROLLCALL: %(pixel) PARTIALREJECT 0.05 0.11 0.00 0.03 FIBER_ROLLCALL: %(pixel) SCATTEREDLIGHT 7.94 7.81 1.99 8.94 FIBER_ROLLCALL: %(pixel) CROSSTALK 0.00 0.00 0.00 0.00 FIBER_ROLLCALL: %(pixel) NOSKY 0.00 0.03 0.00 0.00 FIBER_ROLLCALL: %(pixel) BRIGHTSKY 0.10 0.22 0.04 0.64 FIBER_ROLLCALL: %(pixel) NODATA 1.36 1.67 2.00 1.49 FIBER_ROLLCALL: %(pixel) COMBINEREJ 0.00 0.00 0.00 0.00 FIBER_ROLLCALL: %(pixel) BADFLUXFACTOR 0.01 0.04 0.08 0.04 FIBER_ROLLCALL: %(pixel) BADSKYCHI 0.00 0.00 0.00 0.07 FIBER_ROLLCALL: %(pixel) REDMONSTER 0.00 0.00 0.00 0.00 % Compiled module: SXCOMBINEPAR. % Compiled module: MKHDR. SPCOMBINE_V5: Max memory usage = 636.3 MB SPCOMBINE_V5: Total time for SPCOMBINE = 730. seconds SPCOMBINE_V5: Successful completion of SPCOMBINE at Fri Feb 5 12:20:32 2010 % Program caused arithmetic error: Floating divide by 0 % Program caused arithmetic error: Floating illegal operand